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+  <h1>Source code for discrete_optimization.coloring.coloring_parser</h1><div class="highlight"><pre>
+<span></span><span class="c1">#  Copyright (c) 2022 AIRBUS and its affiliates.</span>
+<span class="c1">#  This source code is licensed under the MIT license found in the</span>
+<span class="c1">#  LICENSE file in the root directory of this source tree.</span>
+
+<span class="kn">import</span> <span class="nn">os</span>
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Hashable</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</span>
+
+<span class="kn">from</span> <span class="nn">discrete_optimization.coloring.coloring_model</span> <span class="kn">import</span> <span class="n">ColoringProblem</span>
+<span class="kn">from</span> <span class="nn">discrete_optimization.datasets</span> <span class="kn">import</span> <span class="n">get_data_home</span>
+<span class="kn">from</span> <span class="nn">discrete_optimization.generic_tools.graph_api</span> <span class="kn">import</span> <span class="n">Graph</span>
+
+
+<div class="viewcode-block" id="get_data_available"><a class="viewcode-back" href="../../../api/discrete_optimization.coloring.html#discrete_optimization.coloring.coloring_parser.get_data_available">[docs]</a><span class="k">def</span> <span class="nf">get_data_available</span><span class="p">(</span>
+    <span class="n">data_folder</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="n">data_home</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">str</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span>
+<span class="p">):</span>
+    <span class="sd">&quot;&quot;&quot;Get datasets available for coloring.</span>
+
+<span class="sd">    Params:</span>
+<span class="sd">        data_folder: folder where datasets for coloring whould be find.</span>
+<span class="sd">            If None, we look in &quot;coloring&quot; subdirectory of `data_home`.</span>
+<span class="sd">        data_home: root directory for all datasets. Is None, set by</span>
+<span class="sd">            default to &quot;~/discrete_optimization_data &quot;</span>
+
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">if</span> <span class="n">data_folder</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+        <span class="n">data_home</span> <span class="o">=</span> <span class="n">get_data_home</span><span class="p">(</span><span class="n">data_home</span><span class="o">=</span><span class="n">data_home</span><span class="p">)</span>
+        <span class="n">data_folder</span> <span class="o">=</span> <span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">data_home</span><span class="si">}</span><span class="s2">/coloring&quot;</span>
+
+    <span class="k">try</span><span class="p">:</span>
+        <span class="n">datasets</span> <span class="o">=</span> <span class="p">[</span>
+            <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">abspath</span><span class="p">(</span><span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">data_folder</span><span class="p">,</span> <span class="n">f</span><span class="p">))</span>
+            <span class="k">for</span> <span class="n">f</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">listdir</span><span class="p">(</span><span class="n">data_folder</span><span class="p">)</span>
+        <span class="p">]</span>
+    <span class="k">except</span> <span class="ne">FileNotFoundError</span><span class="p">:</span>
+        <span class="n">datasets</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="k">return</span> <span class="n">datasets</span></div>
+
+
+<div class="viewcode-block" id="parse"><a class="viewcode-back" href="../../../api/discrete_optimization.coloring.html#discrete_optimization.coloring.coloring_parser.parse">[docs]</a><span class="k">def</span> <span class="nf">parse</span><span class="p">(</span><span class="n">input_data</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">ColoringProblem</span><span class="p">:</span>
+    <span class="sd">&quot;&quot;&quot;From a text input, initialise a coloring problem instance.</span>
+
+<span class="sd">    Args:</span>
+<span class="sd">        input_data: text input in the format of {data_home}/coloring files</span>
+
+<span class="sd">    Returns: a ColoringProblem instance</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="c1"># parse the input</span>
+    <span class="n">lines</span> <span class="o">=</span> <span class="n">input_data</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\n</span><span class="s2">&quot;</span><span class="p">)</span>
+    <span class="n">first_line</span> <span class="o">=</span> <span class="n">lines</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">()</span>
+    <span class="n">node_count</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">first_line</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+    <span class="n">edge_count</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">first_line</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+    <span class="n">edges</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Hashable</span><span class="p">,</span> <span class="n">Hashable</span><span class="p">,</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]]]</span> <span class="o">=</span> <span class="p">[]</span>
+    <span class="n">nodes</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Hashable</span><span class="p">,</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">]]]</span> <span class="o">=</span> <span class="p">[(</span><span class="n">i</span><span class="p">,</span> <span class="p">{})</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">node_count</span><span class="p">)]</span>
+    <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">edge_count</span> <span class="o">+</span> <span class="mi">1</span><span class="p">):</span>
+        <span class="n">line</span> <span class="o">=</span> <span class="n">lines</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+        <span class="n">parts</span> <span class="o">=</span> <span class="n">line</span><span class="o">.</span><span class="n">split</span><span class="p">()</span>
+        <span class="n">edges</span><span class="o">.</span><span class="n">append</span><span class="p">((</span><span class="nb">int</span><span class="p">(</span><span class="n">parts</span><span class="p">[</span><span class="mi">0</span><span class="p">]),</span> <span class="nb">int</span><span class="p">(</span><span class="n">parts</span><span class="p">[</span><span class="mi">1</span><span class="p">]),</span> <span class="p">{}))</span>
+    <span class="k">return</span> <span class="n">ColoringProblem</span><span class="p">(</span>
+        <span class="n">Graph</span><span class="p">(</span><span class="n">nodes</span><span class="p">,</span> <span class="n">edges</span><span class="p">,</span> <span class="n">undirected</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">compute_predecessors</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+    <span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="parse_file"><a class="viewcode-back" href="../../../api/discrete_optimization.coloring.html#discrete_optimization.coloring.coloring_parser.parse_file">[docs]</a><span class="k">def</span> <span class="nf">parse_file</span><span class="p">(</span><span class="n">file_path</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">ColoringProblem</span><span class="p">:</span>
+    <span class="sd">&quot;&quot;&quot;From an absolute path to a coloring text file, return the corresponding coloring instance</span>
+<span class="sd">    Args:</span>
+<span class="sd">        file_path (str): absolute path to the file</span>
+
+<span class="sd">    Returns: a ColoringProblem instance</span>
+
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">file_path</span><span class="p">,</span> <span class="s2">&quot;r&quot;</span><span class="p">,</span> <span class="n">encoding</span><span class="o">=</span><span class="s2">&quot;utf-8&quot;</span><span class="p">)</span> <span class="k">as</span> <span class="n">input_data_file</span><span class="p">:</span>
+        <span class="n">input_data</span> <span class="o">=</span> <span class="n">input_data_file</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
+        <span class="n">coloring_model</span> <span class="o">=</span> <span class="n">parse</span><span class="p">(</span><span class="n">input_data</span><span class="p">)</span>
+        <span class="k">return</span> <span class="n">coloring_model</span></div>
+</pre></div>
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