{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Molecule Tools"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get a fragment and add H atoms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scm.plams as plams\n",
    "from scm.base import ChemicalSystem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[10.04|11:49:35] Starting Xvfb...\n",
      "[10.04|11:49:35] Xvfb started\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=200x200>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "system = ChemicalSystem.from_smiles(\"NC(CO)OCC=O\")\n",
    "plams.view(system, width=200, height=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get a fragment from the initial system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=200x200>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fragment = system.extract_atoms([0, 1, 2, 3, 4, 5])\n",
    "plams.view(fragment, direction=\"along_pca3\", width=200, height=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "System\n",
      "   Atoms\n",
      "      N -0.8067647372863869 -1.6846900332599775 -0.2529030289460961\n",
      "      C -0.5865921942423814 -0.2897182936531656 0.1385551093669827\n",
      "      C -1.8520160304405069 0.5420466773061617 -0.10225001764394374\n",
      "      O -1.6383896887149183 1.8593832808319926 0.3233284897788621\n",
      "      O 0.47220924648540097 0.25958681517678306 -0.6254688148278047\n",
      "      C 1.7192462670365973 -0.12916614709198904 -0.08751486466412597\n",
      "   End\n",
      "   BondOrders\n",
      "      1 2 1\n",
      "      2 3 1\n",
      "      2 5 1\n",
      "      3 4 1\n",
      "      5 6 1\n",
      "   End\n",
      "End\n"
     ]
    }
   ],
   "source": [
    "print(fragment)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add H atoms to fill the missing bonds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "fragment_h = fragment.copy()\n",
    "fragment_h.add_hydrogen_atoms()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=200x200>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plams.view(fragment_h, direction=\"along_pca3\", width=200, height=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "matrix = fragment_h.distance_matrix()\n",
    "mask = np.triu(np.ones_like(matrix, dtype=bool), k=1)\n",
    "fig, ax = plt.subplots()\n",
    "ax.hist(matrix[mask])\n",
    "ax.set_title(\"Pairwise distances in fragment\")\n",
    "ax.set_xlabel(\"atoms distances [Ang]\")\n",
    "ax.set_ylabel(\"count\")\n",
    "ax;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualize systems"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With ``plams.view`` you can render ChemicalSystem objects directly. You can also compose multiple rendered images with `plams.plot_image_grid`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "system = ChemicalSystem.from_smiles(\"NC(CO)OCC=O\")\n",
    "small_system = ChemicalSystem.from_smiles(\"NC\")\n",
    "images = {\n",
    "    system.to_smiles(): plams.view(system, width=300),\n",
    "    small_system.to_smiles(): plams.view(small_system, width=300),\n",
    "}\n",
    "plams.plot_image_grid(images);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To visualize with RDKit as 2D images:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
       "<svg xmlns:svg=\"http://www.w3.org/2000/svg\" xmlns:rdkit=\"http://www.rdkit.org/xml\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" version=\"1.1\" baseProfile=\"full\" xml:space=\"preserve\" width=\"400px\" height=\"200px\">\n",
       "<rect style=\"opacity:1.0;fill:#FFFFFF;stroke:none\" width=\"400\" height=\"200\" x=\"0\" y=\"0\"> </rect>\n",
       "<path d=\"M 90.0149,116.834 100.404,108.955\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 100.404,108.955 110.792,101.076\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 80.8122,119.02 77.2703,118.016\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 77.2703,118.016 73.7284,117.012\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 86.0821,125.632 87.4034,136.125\" style=\"fill:none;fill-rule:evenodd;stroke:#0000FF;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 87.4034,136.125 88.7248,146.618\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 110.792,101.076 136.171,81.8276\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 110.792,101.076 103.182,91.0405\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 103.182,91.0405 95.5708,81.0054\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 110.792,101.076 126.014,121.146\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 136.171,81.8276 146.382,74.0838\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 146.382,74.0838 156.592,66.3401\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 136.171,81.8276 151.393,101.898\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 136.171,81.8276 120.95,61.7574\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 166.509,64.6662 176.408,68.8321\" style=\"fill:none;fill-rule:evenodd;stroke:#FF0000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
       "<path d=\"M 176.408,68.8321 186.308,72.9981\" style=\"fill:none;fill-rule:evenodd;stroke:#000000;stroke-width:2px;stroke-linecap:butt;stroke-linejoin:miter;stroke-opacity:1\"/>\n",
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     "execution_count": 9,
     "metadata": {},
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   ],
   "source": [
    "plams.plot_grid_molecules([system, small_system])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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