examples/inv_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Inverter Example</h1>\n",
    "Example gds file taken from <a href='http://www.yzuda.org/download/_GDSII_examples.html'>http://www.yzuda.org/download/_GDSII_examples.html</a>.\n",
    "\n",
    "<h2>Load gds file</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/rene/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: [GDSPY] Record type PROPATTR (2B) is not supported.\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n",
      "/home/rene/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:3: RuntimeWarning: [GDSPY] Record type PROPVALUE (2C) is not supported.\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    }
   ],
   "source": [
    "import gdspy\n",
    "gdsii = gdspy.GdsLibrary()\n",
    "lib = gdsii.read_gds(infile='inv.gds2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "source": [
    "<h2>Create Converter library</h2>\n",
    "and print list of all layers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[  2   3  41  42  43  44  45  46  47  48  49  50  51 149 162]\n"
     ]
    }
   ],
   "source": [
    "#Load library\n",
    "from GDSLatexConverter import GDSLatexConverter\n",
    "\n",
    "#Create converter\n",
    "conv = GDSLatexConverter(lib)\n",
    "\n",
    "# Display all available layers:\n",
    "print(conv.all_layer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Do a very basic latex line plot</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def save_and_plot(converter, filename):\n",
    "    converter.compile(filename=filename, overwrite=True)\n",
    "\n",
    "    # Show the output pdf\n",
    "    try:\n",
    "        from wand.image import Image as WImage\n",
    "        img = WImage(filename=filename + '.pdf')\n",
    "        img.rotate(90)\n",
    "    except:\n",
    "        img = 'PDF could not be displayed. Please install the library wand (pip install wand).'\n",
    "    return img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PDF compilation successful.\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<wand.image.Image: 6188207 'PNG' (851x178)>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conv = GDSLatexConverter(lib)\n",
    "conv.scale = 0.25 #Set a convienient scale for line-thickness\n",
    "\n",
    "save_and_plot(converter=conv, filename='inv_simple')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PDF compilation successful.\n"
     ]
    },
    {
     "data": {
      "image/png": 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CAUABkMxgpwWoIm8wOxAHUFEAVn6sDqQOibxBGdVYsIoCsNJjAR9rBgWgawXgxcP8hPTn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\nMTk0YWQyY2VmOGWIiwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<wand.image.Image: 8a9bad2 'PNG' (682x144)>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add some colors!\n",
    "conv = GDSLatexConverter(lib)\n",
    "conv.scale = 0.2\n",
    "colorscheme = {\n",
    "        2: 'yellow',\n",
    "        41: 'green',\n",
    "        42: 'red',\n",
    "        48: 'blue',\n",
    "}\n",
    "conv.layer_drawcolor = colorscheme\n",
    "drawopt = {\n",
    "        2: 'line width=2, fill=yellow, fill opacity=0.2',\n",
    "        41: 'line width=1.2, pattern=north west lines, pattern color=green!15, ',\n",
    "        42: 'line width=1.2, pattern=north east lines, pattern color=red!15,',\n",
    "}\n",
    "conv.layer_drawopt = drawopt\n",
    "\n",
    "save_and_plot(converter=conv, filename='inv_colored')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "<h2>Layer selection and ordering</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PDF compilation successful.\n"
     ]
    },
    {
     "data": {
      "image/png": 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UMTI6NTA6NDErMDI6MDD5jR2PAAAAJXRFWHRkYXRlOm1vZGlmeQAyMDE4LTA1LTI0VDEy\nOjUwOjQxKzAyOjAwiNClMwAAABR0RVh0cGRmOlZlcnNpb24AUERGLTEuNSAFXAs5AAAASnRFWHRz\naWduYXR1cmUAYmI3MjNlZDIwYmVhYmU3NjEyMWI0Njk4MDQ1NWM2YTQ2NTI0OGZkOTI3NTk0NGQ2\nYmEyN2RkOGExZTA2ZmFmMz+Lf8YAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<wand.image.Image: bb723ed 'PNG' (660x144)>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "conv = GDSLatexConverter(lib)\n",
    "conv.layer_order = [43, 42, 48]\n",
    "conv.scale = 0.2\n",
    "conv.layer_drawcolor = colorscheme\n",
    "conv.layer_drawopt = {\n",
    "        42: 'line width=2, fill=yellow, ',\n",
    "        43: 'line width=2, fill=green, ',\n",
    "}\n",
    "\n",
    "\n",
    "save_and_plot(converter=conv, filename='inv_order1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PDF compilation successful.\n"
     ]
    },
    {
     "data": {
      "image/png": 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,
      "text/plain": [
       "<wand.image.Image: b755f8f 'PNG' (660x144)>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Not so clever layer order (layer 43 and 42 cover layer 48)\n",
    "conv.layer_order = [48, 43, 42]\n",
    "conv.parse() # Force re-parsing\n",
    "save_and_plot(converter=conv, filename='inv_order2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Alternative $\\LaTeX$-environment</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PDF compilation successful.\n"
     ]
    },
    {
     "data": {
      "image/png": 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CAUABkMxgpwWoIm8wOxAHUFEAVn6sDqQOibxBGdVYsIoCsNJjAR9rBgWgawXgxcP8hPTn\nyjja/KwTRTUOoKIAaEgmwz0dJqrcBxxHGNVYsIoCEHmShyoKAOFhNGdZKmt9/ASgjKrD+Tg+0w4n\nWdse5px2ZHpVH4xMa95yVdsJmdqQDAGw1PagFve8blR53VzEvaqtUADm1Xaq5r5kCACfLXDNxVIA\nEoaqH1uWWgEwzYQIgFor5XfSMUB1vUUzWDkdNqqDzB9cL9mr+rBlqTXVfSYKQLNigCpDSW3SKGxU\n2akpCwVAElXSxQKQJFRRAEg3C0CSUEUBQAGoJf6oogAQFAAKUYxRRQEgKAAGhSjGqKIAoADUEn9U\nUQBIZ7Y2OvsdUK1LhgA0Fj07TuXnS0K6fe9ZpjlC/wpzbnS08q9fNskJwEudBadWjX9FK9ECYANJ\ndWzi00nHA9XGouc4o3q2KScACxkYqAsjiRaAEvRzv8TtpGMnAI2P3zgLgGnKCYCzABSAxfAFYPMW\nQM65+9z+6fP6D/TX6xtctuwyuKC1VHYSBMCy7Po051A0qA4xM6tyqHLZ+iZdC3U+PV/+IN8AWFt1\n0LC5AvCtdPqeRl2wNX3vhRdBUkd1y5bN8rn4vkv6pi891NdXq2/38QUANHRlVV8YewEw3JeLxHO5\niukpANwRKmPBqX1+Sw9P2VwBGJhNpe6v19bLUg9cfoV8XjbbQHVzTw+RrTVTxJgmTXT6+wiPrRJo\n6GouGQJgJAlVwRGqmgDUPr9lh6f4AjAwywrAzNTamZ4e2bqSQVWa1J41pV6D0BGA/kOeAgAaSY2/\nADQWPetbWh1YAOa52JUFoP757YXlg7a96K6Rh+xh+uvISPP4Ow8zT7vKfuTq3GKuva7pyCqDqjyp\nPWSqlzAjAAe6TQBq0dqrCl6wol4Aml+8xASAGQGYMab4NOY69qtXogBAk0BUVQoAO4KqSAAWZQRg\nLp/n1csPj43x6hXffWX28Kuyh7PZ79l2yb72+5WftcqWmsfDdilbOfjB+PgPm+XGrrBUaNS2ZAjA\nqxtXU29vubZ6e0h/rozjCF8NNoYpAIUjhWa9xtXv/og+VPhxHU7+CMBPZis/H60NFOywlq/Lz+fb\na4x3slKPcQQgz+8+S74CYAkIwMQEhWzcjd0SQy1JhACwEGn+KyEKQIGee3zC1e9OPE5/LQgIQK2b\nBQhAniMAeT6ROV8BqLLoIwATT1DIxokLu4Kb2tgLgAQoYf+VEAXgCD3Hklntdycm6K8FAQGodbMA\nAcjzBIDffeZ8RwDmBEYAnpigkLULAHFRG3sB4IFihZfrOw0P8F/C3MoKLgD0HEtmtd9lu9kjAgJQ\n72ZTxuJaLpM5L02dRwFQj6rutng1DAUABcBIEqooAAQFoP0wBnGj6icA7Gj+OhQAggKgo2FCAmC3\nPIQCgAKgo2FCArDY8hAKAEEB0NAwMQFoeQgFAAVAR8NWtAC8lplZHeNOt+ZlBeBoc+608Driwm4b\nnVn9KQqA8oaBBeBndPJ0W5sAbGNmXSUF4AbO/Olyy683CAtA3lcA5iQFgC3/i1hQAFQ2DCwA3J64\nLgBtJyUEYN5XAPLCAjDnKwB5SQFgy/YjFQVAacPAAmB4FWARICsAeV8BmBcWAFZb+SMAsgLAlk38\nulUUAJUNAwuAJ6vOSNvKavuhEfuRloXWjePXP0zXWr/hqsUnr14c4y2ubhdUFICwiIg3qkoFgFcB\nBaAHBSA6IuKNqlIB4FVAAegJJAC5XKlcb7zx2I0t9VTl/FjpTU+W7J/TldTXvpmup842F1nbx2z7\nqWxl/TVb/ldXowAobBhAAAYB+1YMCo8A1PrMm7jXWN0EEgCPwf+cpAD4ftxzCwVAWcMAAlAvuX5V\nUgD481M5kAB4DP7nJAUABisKgLKGAQQAAqohKQD8+alFmAB0mL6SGAEgoEIBUNYwgADAWJUTAP78\nVA4FIHwi4o0qCgBBAeAcxiDdKABvKS4V63VUUABupt/lj9FLruXqWOXlZz1dOd7JHSV46y0hXsxk\n2bZ9s8jz1icA1Q2WdfxW7pf2nXQE/5lsdrlcLcP6i7ZcPUPf+210PqujABwpFmkFFYAiJbgoKABM\nj5iFCkD1hSdMb98Nt1e15NGLLaqG514AjFxm3d0soF/N0mPmphYdBaDI9KjFoAKwRAkuCgoAw1aW\nwEitvdA0iafvIqoSrfEQAEYus+7vWQAByNJjZkFLRwEoMp/+xaACUKQELwkKAMPWYegIQPWF5glv\n30VUJVrjMQLAyOWy+3sWgNVleuyICgCjqSgA0P/plYUqCgBBAeDDoTsoACgAgnDoDgoACoAgHLqD\nAoACIAiH7qAAoAAIwqE7KAAoAIJw6E43CsDRIp1ZFRSAp+n85zBsWrVkv73y8nfUVmpz11+HO7F6\nvW2/U/IlQ/I8hYlqS47fyl0PnaXTou+qzqtmg8yrLg7T9/7Fu8UE4DZmXvU2XASIwUWAuAgwKcFF\ngLgIMCHpjkWAKAArICgAKAAJyUoXgF/Wrq521zWSAnC+9MbV1hAKgNpI3wdgSPra6iHZ+wBwr63O\nwQSgUwW5EZB/Jec+AAmJ4hsB8UriToB57kc/W7AbAfEryI2AmFq333E4tcvZP0l//RX3Oe95ryOd\njDvvk3+PsBJq207uXnCc9vo1PZ5seWh0tHrAfVF7PViHU/eNgPgV5EZA7JcnLoXOrv3OZAu4nOdA\nUN3pxmFSN6ARte3kbi5ku+jxZMtDz46Kg7rg2HU49d0IKAIBsKMVANv3hL6E2rZwBcDWKQAeWwPT\n+o2kAPyW3rS68Dv36OntdDvgcPcC6GJU5UYAamDdztyY+v2ul/6e2Q74D5IC8JjHzr+0PiAsAEIF\n3gug0NLpkgj3AuhiVCVHADrvBWC0brkyLikAvp1qWwcrthmQV8E3A2I2VLHd7Ia7GVA3owoQAM/N\ngIzWLVfGJQVAilWJzYC8Cr4Z0FJLp2tEuBlQF6MKEQDPzYBc3ewfJQVAilUUAPU4BAwKAApAVDgE\nDAoACkBUOASMZgH4ILNIeiMKAEEB0NQ2fwFgasFBAUAB0NU2fwFgyllAAUAB0NU2fwFgynFQAAgK\ngKa2oQCgAKgLCoC4APzJb96/tT50+A5r7sOVpdAnBAQA1wBobRtMAFSuAThYW4C9w1q+zm8BgKs4\nAiBbTQEwBATAozwuvUIBUNw2mAAYgiWyCLBWAAHo4QiAZFEBqBZwESB3KWplMfWfW1avcp6z0tar\nTvqeCJCTu7krTXdxl59m/uKMPiuxsnpBZBFgrQAC0MMRAMmiIwBEQAA8Cq8CaCZkVP2uAmAqkwnh\nKoB6yY8AzMREADwqOdsBq0uCBcCIUAA+skU+59x9bv/0ef39B2r1UU8B+KtpnpCsbrwMUMsIgLnP\nbFTrCMBzlZP0QYF6zlsA7kmn63XB1vS9F14kn481UP34ZkAuvu+SvulL+w711etvXgIgT+qJwS68\nD4COEYBHKWpDLSMAm2onpVh93kMA/p5K3d+orZelHrj8CkjqqIKyZqrXYASALbwRECA6BIA/xNq4\nja+cABheNwJiK50yptbCeAuMKpczhq1/QHcDRAGIQAD4Q6zOP4F3rfwXVwDY0ooq4X8rgnWl/EIB\nCBwPAfD7hiXdr/IEgC2dqBJxtsCFAhA4UgIQHNRECoCKQgEIHCkBUMEqCgAKACwoACgA6oICEHav\nigKgKCgAYaNKUADUBAUgZFQJCoCioACE3auiACgKCkDYqBIUADVBAQgZVcLDCLCWqlN1gQBkMplP\nuNfSlk98UtX7CwhA+wIUqcUq7eusEiEAakk1B8mKF4DtXFQ/lVH1/v4CcNBUy+rzyRCASGpFoTrM\nFYCMQlRBH+RBvlglQwAiKURVIv4CEAWoMRSASApRlYi/AETDKgpA4oMCED6qBAVARaqobrBoTBQA\n5b0qCoCKVFE1TXrCQgFQjipBAVCQ8FFFASAoACoSOqpM0igAEReiKpEBmk+nUQBQAOAJG1UmqTQK\nAAoAPNGiigKAAgBOpKiiAKAAwIMCED6qBAVARVAAIuhVUQBUBAUgAlQJCoCC1FA922wGBUA5qgQF\nQEWqqG6ipJobUACU96ooACoS9soqJigAKABBUkZ1xH3/fhQAtagSFAAVKaPattXEOhSANlTXgPIZ\nFAB1GeaeXZkCcCeMt8+WUf33Xlj+c4f1X525xVo5+dx2Xs78fAh/asdxndlh/Q+I2969Ri84a40z\ndOYLurvCZOauAZ25KwBv/wfGDM//U52oQQAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAxOC0wNS0yNFQx\nMjo1MDo0MiswMjowMMhlBxIAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMTgtMDUtMjRUMTI6NTA6NDIr\nMDI6MDC5OL+uAAAAFHRFWHRwZGY6VmVyc2lvbgBQREYtMS41IAVcCzkAAABKdEVYdHNpZ25hdHVy\nZQA4YTliYWQyZDdkMjUwZDc3OGVhMTY2MDc0NTllNjEzZWY1NWExY2I0ODhkNmViOWY4ZWJiZjdm\nMTk0YWQyY2VmOGWIiwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<wand.image.Image: 8a9bad2 'PNG' (682x144)>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Color Example using PDFLatex instead of Lualatex\n",
    "conv = GDSLatexConverter(lib)\n",
    "conv.scale = 0.2\n",
    "conv.textype = GDSLatexConverter.PDFLATEX\n",
    "conv.layer_drawcolor = colorscheme\n",
    "conv.layer_drawopt = drawopt\n",
    "save_and_plot(converter=conv, filename='inv_colored_pdflatex')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}