{
 "cells": [
  {
   "cell_type": "markdown",
   "source": "# General Demo",
   "metadata": {
    "collapsed": false
   },
   "id": "e5085f761a509526"
  },
  {
   "cell_type": "markdown",
   "source": [
    "This notebook serves as a demonstration of what the toolbox can do. This project is a work in progress, so there will be updates to the code and subsequently the applications. Below are some highlights of what is currently possible."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "e34d274409834e16"
  },
  {
   "cell_type": "markdown",
   "source": "## Datasets",
   "metadata": {
    "collapsed": false
   },
   "id": "51f4f8b504f3f826"
  },
  {
   "cell_type": "markdown",
   "source": [
    "The starting point of the project is the ability to easily load chemical datasets into a format that is usable from a Machine Learning perspective. All the relevant datasets make use of **SMILES** (Simplified molecular-input line-entry system) to store information on molecules. The in-built ``DataSet`` objects then take the SMILES representation of molecules together with a target array and any other additional information, and load then into **graphs**.\n",
    "\n",
    "Below is an example of an implemented dataset that can, similarly to the torch datasets, download and load a dataset from the internet."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "f449d066d204418d"
  },
  {
   "cell_type": "markdown",
   "source": "### Jean-Claude Bradley Open Melting Point Dataset [1]",
   "metadata": {
    "collapsed": false
   },
   "id": "680bb6f3843262a8"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.datasets import BradleyDoublePlus\n",
    "print(f'length of dataset at the start: {3024}\\n-------------')\n",
    "data = BradleyDoublePlus(log=True, only_organic=True)\n",
    "print(f'-------------\\nlength of dataset at the end: {len(data)}')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:45.007055Z",
     "start_time": "2024-06-04T14:09:41.250352Z"
    }
   },
   "id": "40b87729a56143b0",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "length of dataset at the start: 3024\n",
      "-------------\n",
      "SMILES [O-][N+]#N in index 1 does not contain at least one carbon and will be ignored.\n",
      "SMILES FS(F)(=O)=O in index 2 does not contain at least one carbon and will be ignored.\n",
      "SMILES BrBr in index 4 does not contain at least one carbon and will be ignored.\n",
      "SMILES II in index 8 does not contain at least one carbon and will be ignored.\n",
      "SMILES ClS(Cl)(=O)=O in index 79 does not contain at least one carbon and will be ignored.\n",
      "SMILES B(OCC)(OCC)OCC in index 144 contains the atom B that is not permitted and will be ignored.\n",
      "SMILES c1cccn1 in index 308 is not valid.\n",
      "SMILES N#Cc3cncc3c1cccc2OC(F)(F)Oc12 in index 370 is not valid.\n",
      "SMILES CC[Si](CC)(CC)CC in index 519 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES CC[Si](CC)(Cl)Cl in index 541 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES [SiH](Cl)(Cl)Cl in index 565 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES [SiH](Cl)(Cl)Cl in index 565 does not contain at least one carbon and will be ignored.\n",
      "SMILES c1ccc(cc1)[Si](c2ccccc2)(c3ccccc3)c4ccccc4 in index 592 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES c1ccc(cc1)[Si]2(O[Si](O[Si](O[Si](O2)(c3ccccc3)c4ccccc4)(c5ccccc5)c6ccccc6)(c7ccccc7)c8ccccc8)c9ccccc9 in index 605 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES c1ccc(cc1)[Si]2(O[Si](O[Si](O[Si](O2)(c3ccccc3)c4ccccc4)(c5ccccc5)c6ccccc6)(c7ccccc7)c8ccccc8)c9ccccc9 in index 605 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES c1ccc(cc1)[Si]2(O[Si](O[Si](O[Si](O2)(c3ccccc3)c4ccccc4)(c5ccccc5)c6ccccc6)(c7ccccc7)c8ccccc8)c9ccccc9 in index 605 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES c1ccc(cc1)[Si]2(O[Si](O[Si](O[Si](O2)(c3ccccc3)c4ccccc4)(c5ccccc5)c6ccccc6)(c7ccccc7)c8ccccc8)c9ccccc9 in index 605 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(O[Si](O[Si](O[Si](O1)(C)C=C)(C)C=C)(C)C=C)C=C in index 626 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(O[Si](O[Si](O[Si](O1)(C)C=C)(C)C=C)(C)C=C)C=C in index 626 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(O[Si](O[Si](O[Si](O1)(C)C=C)(C)C=C)(C)C=C)C=C in index 626 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(O[Si](O[Si](O[Si](O1)(C)C=C)(C)C=C)(C)C=C)C=C in index 626 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES COc1cc(cc(OC)c1OC)/C=C/C(=O)O[C@@H]3C[C@@H]4CN5CCc2c6ccc(OC)cc6nc2[C@H]5C[C@@H]4[C@@H]([C@H]3OC)C(=O)OC in index 662 is not valid.\n",
      "SMILES c1cncn1 in index 697 is not valid.\n",
      "SMILES c1cccc2nccc12 in index 698 is not valid.\n",
      "SMILES Cc1cc2nnnc2cc1 in index 728 is not valid.\n",
      "SMILES C[Si]1(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O1 in index 734 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O1 in index 734 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O1 in index 734 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(C)O[Si](C)(C)O[Si](C)(C)O[Si](C)(C)O1 in index 734 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C in index 819 consists of less than 2 heavy atoms and will be ignored.\n",
      "SMILES c1ccc(cc1)[SiH](c2ccccc2)c3ccccc3 in index 842 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES Br in index 903 consists of less than 2 heavy atoms and will be ignored.\n",
      "SMILES O=S=O in index 905 does not contain at least one carbon and will be ignored.\n",
      "SMILES O=C(OC)[C@@]2(C[C@H]4C[C@@](O)(CC)C[N@@](CCc1c3ccccc3nc12)C4)c5cc9c(cc5OC)N(C=O)[C@@H]6[C@]98CCN7CC=C[C@@](CC)([C@@H](OC(C)=O)[C@]6(O)C(=O)OC)[C@H]78 in index 933 is not valid.\n",
      "SMILES C[Si](C)(C)C in index 935 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES [O-][N+](=O)c1ccc2ncnc2c1 in index 1305 is not valid.\n",
      "SMILES [O-][N+](=O)c1cnc(C)n1 in index 1364 is not valid.\n",
      "SMILES ClS(Cl)=O in index 1384 does not contain at least one carbon and will be ignored.\n",
      "SMILES C[Si]1(N[Si](N[Si](N[Si](N1)(C)C)(C)C)(C)C)C in index 1732 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(N[Si](N[Si](N[Si](N1)(C)C)(C)C)(C)C)C in index 1732 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(N[Si](N[Si](N[Si](N1)(C)C)(C)C)(C)C)C in index 1732 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(N[Si](N[Si](N[Si](N1)(C)C)(C)C)(C)C)C in index 1732 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si](C)(C)[Si](C)(C)C in index 1750 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si](C)(C)[Si](C)(C)C in index 1750 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES c1cccc2ncnc12 in index 1820 is not valid.\n",
      "SMILES B(c1ccccc1)(O)O in index 1983 contains the atom B that is not permitted and will be ignored.\n",
      "SMILES CC[SiH2]CC in index 2256 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES c1ccc(cc1)[Si](c2ccccc2)(c3ccccc3)Cl in index 2268 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES CC(=O)O[Si](C)(OC(=O)C)OC(=O)C in index 2316 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si](c1ccccc1)(c2ccccc2)c3ccccc3 in index 2325 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES Cc2cnc1ccccc12 in index 2335 is not valid.\n",
      "SMILES c1ccc(cc1)[Si](c2ccccc2)(c3ccccc3)O in index 2390 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES c1cccc2nnnc12 in index 2516 is not valid.\n",
      "SMILES B(c1ccccc1C)(O)O in index 2674 contains the atom B that is not permitted and will be ignored.\n",
      "SMILES CCO[Si](OCC)(OCC)OCC in index 2681 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES n2cnc(NCc1ccccc1)c3ncnc23 in index 2686 is not valid.\n",
      "SMILES B(c1ccccc1)(c2ccccc2)OCCN in index 2741 contains the atom B that is not permitted and will be ignored.\n",
      "SMILES C[Si](C)(C)C#C[Si](C)(C)C in index 2775 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si](C)(C)C#C[Si](C)(C)C in index 2775 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES n1c3ccccc3nc1c2cscn2 in index 2916 is not valid.\n",
      "SMILES COB(OC)OC in index 2935 contains the atom B that is not permitted and will be ignored.\n",
      "SMILES N[C@@H](Cc1cncn1)C(=O)O in index 2944 is not valid.\n",
      "SMILES C[Si]1(C)O[Si](C)(C)O[Si](C)(C)O1 in index 3008 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(C)O[Si](C)(C)O[Si](C)(C)O1 in index 3008 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES C[Si]1(C)O[Si](C)(C)O[Si](C)(C)O1 in index 3008 contains the atom Si that is not permitted and will be ignored.\n",
      "SMILES Sc1nc2ccccc2n1 in index 3018 is not valid.\n",
      "-------------\n",
      "length of dataset at the end: 2989\n"
     ]
    }
   ],
   "execution_count": 2
  },
  {
   "cell_type": "markdown",
   "source": "As seen above, the data loader filters the SMILES based a few different criteria. One of them is a check if rdkit recognizes the SMILES representation as valid, another one is whether the SMILES atoms are **all** part of the *allowed* atom symbols. After filtering, we can access the information using the regular class notations.",
   "metadata": {
    "collapsed": false
   },
   "id": "f290e855e22eb174"
  },
  {
   "cell_type": "markdown",
   "source": "### Example outputs",
   "metadata": {
    "collapsed": false
   },
   "id": "1616bf48e437484f"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "We can access the SMILES from the melting point dataset as such:",
   "id": "f0dd9f1479b94dda"
  },
  {
   "cell_type": "code",
   "source": [
    "# SMILES\n",
    "data.smiles[0:5]"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:45.011089Z",
     "start_time": "2024-06-04T14:09:45.008021Z"
    }
   },
   "id": "d33d84694952851d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['CC1CCC1', 'CC(C)N(CCC(C(N)=O)(c1ccccc1)c1ccccn1)C(C)C',\n",
       "       'CCn1cc(C(=O)O)c(=O)c2cc(F)c(N3CCNC(C)C3)c(F)c21', 'CN(C)C',\n",
       "       'ClC(Cl)(Cl)Cl'], dtype=object)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "And their corresponding graphs are stored at the same indices.",
   "id": "8ee8c1615e31ac16"
  },
  {
   "cell_type": "code",
   "source": [
    "# Their corresponding graphs, saved using the torch geometric Data objects.\n",
    "data[0:5]"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:45.014312Z",
     "start_time": "2024-06-04T14:09:45.011611Z"
    }
   },
   "id": "a28238d00b1b1dd9",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Data(x=[5, 44], edge_index=[2, 10], edge_attr=[10, 12], y=[1]),\n",
       " Data(x=[25, 44], edge_index=[2, 52], edge_attr=[52, 12], y=[1]),\n",
       " Data(x=[25, 44], edge_index=[2, 54], edge_attr=[54, 12], y=[1]),\n",
       " Data(x=[4, 44], edge_index=[2, 6], edge_attr=[6, 12], y=[1]),\n",
       " Data(x=[5, 44], edge_index=[2, 8], edge_attr=[8, 12], y=[1])]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 4
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "We can draw any of the loaded SMILES using rdkit directly:",
   "id": "b761aafb7b304c60"
  },
  {
   "cell_type": "code",
   "source": [
    "print('SMILES:', data.smiles[10])\n",
    "print('Target: ', data.target[10], ' [Celsius]')\n",
    "print('Graph Target: ', data.graphs[10].y, ' [Celsius]')\n",
    "data.draw_smile(10)\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:45.065722Z",
     "start_time": "2024-06-04T14:09:45.015418Z"
    }
   },
   "id": "8b6e2b7e2131b649",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMILES: C=C(C)OC(C)=O\n",
      "Target:  -93.0  [Celsius]\n",
      "Graph Target:  tensor([-93.])  [Celsius]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=100x100>"
      ],
      "image/png": "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",
      "image/jpeg": "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"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:45.072427Z",
     "start_time": "2024-06-04T14:09:45.066540Z"
    }
   },
   "cell_type": "code",
   "source": [
    "print('SMILES:', data.smiles[100])\n",
    "print('Target: ', data.target[100], ' [Celsius]')\n",
    "print('Graph Target: ', data.graphs[100].y, ' [Celsius]')\n",
    "data.draw_smile(100)"
   ],
   "id": "dc2438d06d3393a5",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMILES: CCCCCCCCCCCCCCCCCCBr\n",
      "Target:  28.0  [Celsius]\n",
      "Graph Target:  tensor([28.])  [Celsius]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=100x100>"
      ],
      "image/png": "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",
      "image/jpeg": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCABkAGQDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKiubmCztpLi5mjhgjXc8kjBVUepJ4AqvpesabrdmLvS76C8t8lfMhcMAR1Bx0NAF2is2w8Q6Nqt7cWen6paXVzbnE0UMqsyfUD34om8Q6Nb6xHpE2qWkeoyDKWzTKJG9OPf0oA0qKz9V17SdDSJ9V1K1slmfZGZ5Qm4+2amu9SsbDT3v7u7ggs0Xe08kgCAeuelAFqiqlhqdjqlil9YXkFzauMiaJwy+/I9Kh0vX9H1tp10vU7S8aBtsoglDlD74/nQBo0Vmr4h0ZtZOjrqlodSC7jaiZfMx9PX260an4g0fRpoIdT1S0s5bhtsSTyhC/wBM9vegDSoqnqOq2GkWTXuo3kFrbLgGWVwq5PQe5qa1u7e+tYrq0njnt5VDRyxMGVh6gjrQBNRRRQBzviPwXpPiu8sZdX+0zwWhZhZ+cRBKxxgug+8Rjj6nOaxdU+Enhu/vGuLI3mjiYBLqHS5vIiuU/uug4x9Md67yigDiL74UeFJ7S2TT7NtHurX/AI973TXMU6fVhy31bJ96SH4SeDU0eTT59LF1JKd8t7O5a5d/73mdQfYYHtXcUUAcPpfwo8N2Tyz6klxrt1Inlefq8n2hkTGAqg8DA74z71BafB7wzb3ySTNfXlhA5e10y6uWktbdj1Koev0Ofxrv6KAOBv8A4QeGbu+kltzfafaXBzd6fY3DRW9zjpuQdPwxU+p/CnwzdiCTTYZtDu4E8tLrSZPIk2dw2OGz6nn3rt6KAOIb4SeDDoq6culBHVt63qORdCT+/wCb1znnHT2o074UeF7aG5OpW0mt3d0Ns15qjmaUjsAx+7j1GD7129FAHBad8IvDVlfpcXRvdUhtxiztNRnM0FqvoiHjH1z+fNbEPhG306+V9JWOxtcoWiiJHQncB3UEEDg4GOnQjpaKlxT3GpNbBRRRVCCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAP/2Q=="
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 6
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:45.079710Z",
     "start_time": "2024-06-04T14:09:45.073031Z"
    }
   },
   "cell_type": "code",
   "source": [
    "print('SMILES:', data.smiles[1000])\n",
    "print('Target: ', data.target[1000], ' [Celsius]')\n",
    "print('Graph Target: ', data.graphs[1000].y, ' [Celsius]')\n",
    "data.draw_smile(1000)"
   ],
   "id": "a50e8c9e99f600df",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SMILES: O=C1Cc2ccccc2C(=O)O1\n",
      "Target:  142.0  [Celsius]\n",
      "Graph Target:  tensor([142.])  [Celsius]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=100x100>"
      ],
      "image/png": "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",
      "image/jpeg": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCABkAGQDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACs3V5pIhaASyRQvNiZ4hlgu1iOxIG7bkitKvPfiTPtv9KQH/AFdtfTn2Kw/L+prKtPkhc7cuw/1jEKn5P8E2drpTzyadG1zvL7nALrtZk3HYSOMErtJ4HXoKu1keFYTb+EtIjP3hZxE59SoJrXq4axRhiEo1ZJd3+YUUUVRiFFFFABRRRQAUUUUAFFFZF14hhtYpJfsd5KitIiGJA3mumdyqM5z8rdQAdp9qTkluaU6U6jtFXNevBvjZqxtfFUsKXXlSxaATCok2l5JLhUwvq23ceOcAmvQ5/wDhMvFFu6W7L4Zs3GBKwEt0R7A8Ln35FVl+DnhGSwuIb+3utQvLkfvdRu7hnuC394N0B+g+uaUZKSuVWoyoS5W1fyd7eV1pc7iyg+y2Fvb5z5USpn6ACp68yTXPEHw2kW28TNNrHhrcFh1mNC01sOwnUdR/tj9ScD0ayvbXUrKK8sriK4tpl3RyxMGVh7EVRiT0VieIfF+geFbfzdZ1OC2JGUiJ3SP/ALqDLH8q861T4oa7q+oW2m6DbWWhm6kVLefXHxNOWPyhYFBZQ3HzMMYPY0AewUVxPhvx99q1IeHvE9p/Y3iJRgQuf3N1/tQv0YH06/XBrtqACiiigAooooAK5fRpVvPFOs2uHFvpk6vAu7I8yVGLnpnqzdyPmNdRXEfD27/tG98XXmzaF1ya2U5zuEYUZ/Wokm2rHTQqQhTqKW7WnrdX/C6+Z29FFFWcw10SWNo5FV0YEMrDIIPYivHte8M3Ph3x1pOheD9au9FtPEIuXureHa0cJiUNujDD5C3Tjp9BivY68/v/APS/jzpEPX7Foc1z9N8nl0Ach4f+FGv3d015fSroO85eYTfbNSl92nb5Yz7oB7ivS/DfgPw74VJk03T1N23L3k58ydyepLnkZ9BgV0lFAGN4k8LaR4s0w2Or2qzIDujkHyyRN/eRuoP+TmuJ/t/X/hlIlt4okl1jw0ziODWUGZrbPAWdf4h/tD9ScD0+vAfiVI+o/ELU7HexjZtL07ZnjMkpl6f8BoA9+ooooAKxNZ8WaPobiG6ut90fu2sA8yVj2G0dPxxVvVopZY7bYkkkKzbp442wzptYY6jPzFSRnoD16Vzj+Cm1OZLm4vJ7JX3iaOEKJpF3nYGl5bATapGT0/Gsqkp7QR34Slhm+fESsuy3/X8u2pw3iz4leIpdR/syyK6MJMeVDbw/bNRmz2EQ+WPuPmIPcZpfAWu6r8ONO+w+M9Iu7LTr+7eeHVZGEm13I4n2k7ScZyfX2JHrOk6BpWhReXptjDb5GC6jLt9WPJ/E1dubW3vbWS2uoI54JVKyRSKGVgexB61cb2XNuctZ03UbpfD0v/T/ADHQzRXEKTQSJLFIoZHRgysD0II6in15nP4c1/4eTSX3g5X1LQixe40GVyWi7lrdjz/wE9ffjDofiZqniiIR+CfC15cyHiS71IeRbwN3BOcuR3AqjI9HlljhiaWV1jjQZZ3OAB6k14/D430NPiz4i1uG5/tCK00iK3iSyxK8wD7pPLGfm25ycdgT2rfj+G15r0q3PjvXrjVyDuGnWxMFmh9NowXx6nHvW3rXw88N6xpENgNPjsDbHdaXFiohltm/vIQP/wBdAGxoevaZ4j0uPUtJvI7q1k6Oh5U+jDqD7HmtGvnjU9N8R/DfXft73SWssjBV1eOM/Y770S7iH+rc/wB8d/fLD17wj4xHiHR7i6v7CXSp7MhbkTkeTyMho5fuuhHOR6jsQSAdTXz/AHv/ABMvjHL387xRa/8AkrA38t1ehXvxRtLq7fT/AAhpt14lv1OGNqNttGf9uY/KB9Mj3qLRvBviHUPFVh4o8VX1jHNZGV7fTdOhxGjSJtLPIeWbGPxAwcUAeh0UUUAFFFFABRRRQAUUUUAFFFFAEVzbQXttJbXUMc0EqlZI5FDKwPUEHrXAw/Bvw0l2fOn1K40pX8yDSJbtjawseSQvXr6n869DooAr2VjaabaJa2NrDbW6DCRQxhFX6AcVYoooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD/9k="
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 7
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "We can also save and load the dataset as such:",
   "id": "2bd7b7db5b06590b"
  },
  {
   "cell_type": "code",
   "source": [
    "# We can also save and load the dataset as such:\n",
    "# Datasets are saved using pickle, which allows for fast saving and loading. Saving a dataset and then loading instead of loading from, for example, an excel file is about 10 to 20 times faster.\n",
    "\n",
    "from grape_chem.utils import DataSet\n",
    "\n",
    "data.save_dataset('BradleyDoublePlus')\n",
    "loaded_dataset = DataSet(file_path='./data/processed/BradleyDoublePlus.pickle')\n",
    "loaded_dataset.smiles[0:5]"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:45.735985Z",
     "start_time": "2024-06-04T14:09:45.080373Z"
    }
   },
   "id": "966c495987cae73d",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "File saved at: ./data/processed/BradleyDoublePlus.pickle\n",
      "Loaded dataset.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array(['CC1CCC1', 'CC(C)N(CCC(C(N)=O)(c1ccccc1)c1ccccn1)C(C)C',\n",
       "       'CCn1cc(C(=O)O)c(=O)c2cc(F)c(N3CCNC(C)C3)c(F)c21', 'CN(C)C',\n",
       "       'ClC(Cl)(Cl)Cl'], dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 8
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Datasets are saved using pickle, which allows for fast saving and loading. Saving a dataset and then loading from the pickle directly instead of regenerating it from the orignal data is about 10 to 20 times faster.",
   "id": "30354ca9391c3a0d"
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Analysis\n",
    "\n",
    "There are several options to analyze a loaded dataset. Below are some of these options."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "6a04c4c7803e241e"
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Naive clustering\n",
    "This chart is generated using a simple clustering algorithm that checks the letter in the SMILES and puts them into the below seen molecule classes. For example, if a SMILES only contains an 'O' and no other class letter, then it is part of 'Oxygenated'. If it contains 'O' and 'Cl', then it is part of 'Multifunctional'."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "65fcbf4391d677b6"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.plots import compound_nums_chart\n",
    "\n",
    "compound_nums_chart(data.smiles, fig_size=(10,4))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:45.950108Z",
     "start_time": "2024-06-04T14:09:45.736590Z"
    }
   },
   "id": "c0d69bc29aa101f2",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='compound class', ylabel='number of molecules'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ],
      "image/png": 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s2bNfHRwRERERERF9nl5J3aVLl6R+/foJrk+bNq08ffpU76CIiIiIiIgocfRK6qysrD47MMqdO3fEyclJ76CIiIiIiIgocfRK6sqVKycLFy6U6OjoOOseP34ss2fPFn9//68OjoiIiIiIiD5Pr6QuMDBQgoKCxMfHR2bOnCmKosiOHTtkwIABki9fPgEggwcPTupYiYiIiIiI6BN6JXW5cuWSf//9V5ycnGTgwIECQMaNGycjR46UfPnyyaFDhyRz5sxJHCoRERERERF9ykTfF3p6esru3bslNDRUbt26JbGxsZI1a1ZxcXFJyviIiIiIiIjoM/RO6jQcHBzEx8cnKWIhIiIiIiKiL5SopG7RokV6bbxJkyZ6vY6IiIiIiIgSJ1FJXbNmzb54w4qiMKkjIiIiIiJKZolK6u7evZvccRAREREREZEeEpXUZcqUKbnjICIiIiIiIj3oNaUBERERERERfR/0Gv2yfPny/1lGURTZs2ePPpsnIiIiIiKiRNIrqYuNjRVFUXSWxcTEyP379+Xhw4eSPXt2SZ8+fZIESERERERERAnTq/nl/v37Zd++fTo/Bw8elPv378umTZvk7du3MnHiRL0Cevv2rQwePFgqV64sjo6OoiiKLFiwIN6yV69elcqVK4uNjY04OjrKb7/9Js+ePYtTLjY2VsaOHStZsmQRCwsLyZ8/vyxfvvyrtklERERERPQ9SPI+ddWqVZPGjRtLly5d9Hr98+fPZdiwYXL16lUpUKBAguWCgoKkdOnScuvWLRk5cqT06NFD/vnnH6lYsaJ8+PBBp2z//v2ld+/eUrFiRZk6dap4eHhIw4YNZcWKFXpvk4iIiIiI6HugV/PL/5ItWzaZNm2aXq91d3eXkJAQcXNzk1OnTomPj0+85UaOHCnv3r2T06dPi4eHh4iIFClSRCpWrCgLFiyQ1q1bi4hIcHCwTJgwQdq3b6/G1KpVKylTpoz07NlT6tWrJ8bGxl+0TSIiIiIiou9FktfURUdHy6pVq8TZ2Vmv15ubm4ubm9t/llu7dq1Uq1ZNTb5ERPz8/CRnzpyyatUqddnGjRslKipK2rVrpy5TFEXatm0rQUFBcvTo0S/eJhERERER0fdCr5q6Fi1axLv81atXcuzYMXn8+LHefeoSIzg4WJ4+fSqFCxeOs65IkSKydetW9fezZ8+KtbW15MmTJ045zfqSJUt+0TaJiIiIiIi+F3oldXv37o0z+qWiKOLg4CAlS5aUVq1aib+/f5IEGJ+QkBAR+dhU81Pu7u7y8uVLiYyMFHNzcwkJCZG0adPGiVfz2kePHn3xNj8VGRkpkZGR6u9hYWF67hkREREREdGX0Supu3fvXhKH8WXCw8NFROJNsCwsLNQy5ubm6r+fK/el2/zUqFGjZOjQofrsChERERER0VdJ8j5134KlpaWIiE7tmEZERIROGUtLy0SXS+w2P9W3b195/fq1+vPw4cMv2h8iIiIiIiJ96ZXULV++XJo1a5bg+ubNmyfrwCKaJpKaJpPaQkJCxNHRUa1Rc3d3l8ePHwuAOOVERNKlS/fF2/yUubm52Nra6vwQERERERF9C3oldZMmTUowwRH5WKM1adIkvYP6L+nTpxcXFxc5depUnHUnTpwQLy8v9XcvLy95//69XL16Vafc8ePH1fVfuk0iIiIiIqLvhV5J3fXr18Xb2zvB9QUKFJBr167pHVRi1KlTR7Zs2aLT1HHPnj1y48YNqVevnrqsZs2aYmpqKtOnT1eXAZAZM2ZI+vTppXjx4l+8TSIiIiIiou+FXgOlAJBXr14luD40NFSioqL0jUmmTZsmr169Ukem3Lx5swQFBYmISMeOHcXOzk769esnq1evlnLlyknnzp3l7du3Mm7cOMmXL580b95c3VaGDBmkS5cuMm7cOImKihIfHx/ZsGGDHDp0SJYuXapOPC4iid4mERERERHR90LBp53NEqFMmTLy6tUrOXnypJiZmemsi4yMFB8fH7Gzs5NDhw7pFVTmzJnl/v378a67e/euZM6cWURELl++LN26dZN///1XzMzMJCAgQCZMmCBp06bVeU1sbKyMGTNGZs6cKSEhIZIjRw7p27evNGrUKM72E7vNzwkLCxM7Ozt5/fo1+9cRERER0Q+v4aD9KR1Cslo2rGyC675FbqBXUrdt2zapVq2aFC1aVPr06SOenp4iInLp0iUZNWqUnDhxQjZt2iQBAQFJHrAhYFJHRERERPQ/TOqSNzfQq/lllSpVZO7cudK5c2f5+eef1eUAJE2aNDJ79uwfNqEjIiIiIiL6lvRK6kREmjVrJrVr15adO3fKnTt3REQkW7Zs4u/vL2nSpEmyAImIiIiIiChheid1IiK2trZSt27dpIqFiIiIiIiIvpBeUxqIiMTExMiKFSukTZs2UqtWLbl48aKIiLx+/VrWrVsnT548SbIgiYiIiIiIKH56JXWvXr2SEiVKSMOGDWX58uWyadMmefbsmYiI2NjYSKdOnWTKlClJGigRERERERHFpVdS16dPH7l8+bLs2LFD7ty5I9oDaBobG0vdunVl69atSRYkERERERERxU+vpG7Dhg3SsWNHqVixoiiKEmd9zpw55d69e18bGxEREREREf0HvZK6169fS5YsWRJcHxUVJdHR0XoHRURERERERImjV1KXLVs2OXPmTILrd+7cKT/99JPeQREREREREVHi6JXUtWrVSubNmycrV65U+9MpiiKRkZHSv39/2b59u7Rp0yZJAyUiIiIiIqK49JqnrnPnznL58mVp0KCB2Nvbi4hIw4YN5cWLFxIdHS1t2rSRli1bJmWcREREREREFA+9kjpFUWT27NnStGlTWbNmjdy8eVNiY2MlW7ZsUr9+fSldunRSx0lERERERETx0Cup0yhZsqSULFkyqWIhIiIiIiKiL6RXnzoiIiIiIiL6PiSqpi5Llizxzkf3OYqiyO3bt/UKioiIiIiIiBInUUldmTJlvjipIyIiIiIiouSXqKRuwYIFyRwGERERERER6YN96oiIiIiIiAyY3qNfxsTEyJIlS+Sff/6R+/fvi4hIpkyZpFq1atKoUSMxNjZOsiCJiIiIiIgofnrV1L1+/VpKlCghLVq0kJ07d0pUVJRERUXJrl27pHnz5lKyZEkJCwtL6liJiIiIiIjoE3oldf3795fTp0/L1KlT5dmzZ3LmzBk5c+aMPH36VKZNmyanTp2S/v37J3WsRERERERE9Am9krr169dLu3btpF27dmJqaqouNzU1lbZt20rbtm1l7dq1SRYkERERERERxU+vpO7FixeSK1euBNfnzp1bXr58qXdQRERERERElDh6JXXZs2eXTZs2Jbh+06ZNki1bNr2DIiIiIiIiosTRK6lr166d7Ny5U6pWrSo7d+6Ue/fuyb1792THjh0SEBAgu3btkg4dOiR1rERERERERPQJvaY0aNeunTx9+lRGjx4tO3bs0FlnamoqgwYNkrZt2yZJgERERERERJQwveepGzJkiHTo0EF2796tM0+dn5+fODs7J1mARERERERElDC9kzoREWdnZ/n111+TKhYiIiIiIiL6Qnr1qdOIioqSe/fuydmzZ9W56rR/ktPNmzfl119/lQwZMoiVlZXkzp1bhg0bJu/fv9cpd+TIESlZsqRYWVmJm5ubdOrUSd6+fRtne5GRkdK7d29Jly6dWFpaiq+vr+zatStZ94GIiIiIiOhr6VVT9+rVK+nRo4csXbpUPnz4EGc9AFEURWJiYr46wPg8fPhQihQpInZ2dtKhQwdxdHSUo0ePyuDBg+X06dOyceNGERE5d+6cVKhQQfLkySMTJ06UoKAgGT9+vNy8eVO2bdums81mzZrJmjVrpEuXLpIjRw5ZsGCBVK1aVfbt2yclS5ZMlv0gIiIiIiL6Wnoldc2aNZPNmzfLr7/+Kr6+vmJnZ5fUcX3W4sWL5dWrV/Lvv/+Kp6eniIi0bt1aYmNjZdGiRRIaGioODg7Sr18/cXBwkP3794utra2IiGTOnFl+//132blzp/j7+4uIyIkTJ2TFihUybtw46dGjh4iINGnSRPLmzSu9evWSI0eOfNP9IyIiIiIiSiy9krqdO3dKp06dZNKkSUkdT6KEhYWJiEjatGl1lru7u4uRkZGYmZlJWFiY7Nq1S7p27aomdCIfk7WuXbvKqlWr1KRuzZo1YmxsLK1bt1bLWVhYSMuWLaVfv37y8OFDyZgx4zfYMyIiIiIioi+jV586JycnyZ49e1LHkmhly5YVEZGWLVvKuXPn5OHDh7Jy5Ur5+++/pVOnTmJtbS0XL16U6OhoKVy4sM5rzczMxMvLS86ePasuO3v2rOTMmVMn+RMRKVKkiIh8bMb5OZGRkRIWFqbzQ0RERERE9C3oldS1bt1aVqxYIbGxsUkdT6JUrlxZhg8fLrt27RJvb2/x8PCQX3/9VTp27KjWHoaEhIjIx9q7T7m7u8ujR4/U30NCQhIsJyI6ZeMzatQosbOzU39Yq0dERERERN+KXs0vBw4cKJGRkVK4cGH57bffJEOGDGJsbBynXO3atb86wIRkzpxZSpcuLXXq1BEnJyf5559/ZOTIkeLm5iYdOnSQ8PBwERExNzeP81oLCwt1vYhIeHh4guU06z+nb9++0q1bN/X3sLAwJnZERERERPRN6JXUBQcHy969e+XcuXMJNk1MztEvV6xYIa1bt5YbN25IhgwZRORjAhkbGyu9e/eWBg0aiKWlpYh8bBr5qYiICHW9iIilpWWC5TTrP8fc3DzepJCIiIiIiCi56ZXUtWjRQs6cOSN9+/ZNkdEvp0+fLt7e3mpCp1GjRg1ZsGCBnD17Vm06qWmGqS0kJETSpUun/u7u7i7BwcHxlhMRnbJERERERETfE72Sun///Vd69+4tQ4cOTep4EuXJkyfi4OAQZ3lUVJSIiERHR0vevHnFxMRETp06JfXr11fLfPjwQc6dO6ezzMvLS/bt2ydhYWE6g6UcP35cXU9ERERERPQ90iupc3NzE0dHx6SOJdFy5swpO3fulBs3bkjOnDnV5cuXLxcjIyPJnz+/2NnZiZ+fnyxZskQGDhwoadKkEZGPc9y9fftW6tWrp76ubt26Mn78eJk1a5Y6T11kZKTMnz9ffH192T/uG7kxvllKh5CscvZYkNIhEBEREVEqpFdS1717d/n777+lZcuWYmNjk9Qx/aeePXvKtm3bpFSpUtKhQwdxcnKSLVu2yLZt26RVq1Zqc8nAwEApXry4lClTRlq3bi1BQUEyYcIE8ff3l8qVK6vb8/X1lXr16knfvn3l6dOnkj17dlm4cKHcu3dP5s6d+833j4iIiIiIKLH0SuoiIiLE1NRUsmfPLvXr15eMGTPGGf1SURTp2rVrkgT5qdKlS8uRI0dkyJAhMn36dHnx4oVkyZJFAgMDpVevXmq5ggULyu7du6V3797StWtXSZMmjbRs2VJGjRoVZ5uLFi2SgQMHyuLFiyU0NFTy588vW7ZskdKlSyfLPhARERERESUFBQC+9EVGRv89vV1yjn75vQsLCxM7Ozt5/fp1nAnNKWFsfklERESUOjUctD+lQ0hWy4aVTXDdt8gN9Kqpu3v3blLHQURERERERHrQK6nLlClTUsdBREREREREevjvdpRERERERET03WJSR0REREREZMCY1BERERERERkwJnVEREREREQGLFFJ3Z9//ik3btxI7liIiIiIiIjoCyUqqevataucOnVK/d3Y2FiWLVuWbEERERERERFR4iQqqXNwcJAnT56ov+sxXzkRERERERElg0TNU1e2bFkZMmSInDt3Tuzs7EREZNGiRXLs2LEEX6MoikyZMiVpoiQiIiIiIqJ4JSqpmz59unTp0kV27twpT58+FUVRZOfOnbJz584EX8OkjoiIiIiIKPklqvmlq6urLFu2TEJCQiQmJkYAyJIlSyQ2NjbBn5iYmOSOnYiIiIiI6Ien15QG8+fPl+LFiyd1LERERERERPSFEtX88lNNmzZV/3/lyhW5f/++iIhkypRJfvrpp6SJjIiIiIiIiP6TXkmdiMjGjRulW7ducu/ePZ3lWbJkkYkTJ0qNGjW+NjYiIiIiIiL6D3o1v9y6davUqVNHRERGjhwp69evl/Xr18vIkSMFgNSuXVu2b9+epIESERERERFRXHrV1A0fPlzy588vhw4dEmtra3V5jRo1pEOHDlKyZEkZOnSoVK5cOckCJSIiIiIiorj0qqm7cOGCNG3aVCeh07C2tpZmzZrJhQsXvjo4IiIiIiIi+jy9kjoLCwt5+fJlgutfvnwpFhYWegdFREREREREiaNXUle+fHmZMmWKHD16NM6648ePy59//il+fn5fHRwRERERERF9nl596saOHSvFihWTkiVLSpEiRSRXrlwiInL9+nU5ceKEuLq6ypgxY5I0UCIiIiIiIopLr5q6LFmyyIULF6RTp04SGhoqK1eulJUrV0poaKh07txZzp8/L5kzZ07iUImIiIiIiOhTes9T5+rqKpMmTZJJkyYlZTxERERERET0BfSqqSMiIiIiIqLvA5M6IiIiIiIiA8akjoiIiIiIyIAxqSMiIiIiIjJgBp3UnTlzRmrUqCGOjo5iZWUlefPmlT///FOnzJEjR6RkyZJiZWUlbm5u0qlTJ3n79m2cbUVGRkrv3r0lXbp0YmlpKb6+vrJr165vtStERERERER6+eKk7v3791KoUCGZMWNGcsSTaDt37pRixYrJ06dPZeDAgTJlyhSpVq2aBAUFqWXOnTsnFSpUkPfv38vEiROlVatWMmvWLKlXr16c7TVr1kwmTpwojRo1kilTpoixsbFUrVpV/v3332+5W0RERERERF/ki6c0sLKykrt374qiKMkRT6KEhYVJkyZNJCAgQNasWSNGRvHnpv369RMHBwfZv3+/2NraiohI5syZ5ffff5edO3eKv7+/iIicOHFCVqxYIePGjZMePXqIiEiTJk0kb9680qtXLzly5Mi32TEiIiIiIqIvpFfzy8qVK8uOHTuSOpZEW7ZsmTx58kQCAwPFyMhI3r17J7GxsTplwsLCZNeuXdK4cWM1oRP5mKzZ2NjIqlWr1GVr1qwRY2Njad26tbrMwsJCWrZsKUePHpWHDx8m/04RERERERHpQa+kbuDAgXLjxg357bff5N9//5Xg4GB5+fJlnJ/ksnv3brG1tZXg4GDJlSuX2NjYiK2trbRt21YiIiJEROTixYsSHR0thQsX1nmtmZmZeHl5ydmzZ9VlZ8+elZw5c+okfyIiRYoUEZGPzTiJiIiIiIi+R1/c/FJExNPTU0RErly5IsuWLUuwXExMjH5R/YebN29KdHS01KxZU1q2bCmjRo2S/fv3y9SpU+XVq1eyfPlyCQkJERERd3f3OK93d3eXQ4cOqb+HhIQkWE5E5NGjR5+NJzIyUiIjI9Xfw8LC9NovIiIiIiKiL6VXUjdo0KAU7VP39u1bef/+vfzxxx/qaJe1a9eWDx8+yMyZM2XYsGESHh4uIiLm5uZxXm9hYaGuFxEJDw9PsJxm/eeMGjVKhg4dqvf+EBERERER6UuvpG7IkCFJHMaXsbS0FBGRBg0a6Cxv2LChzJw5U44ePSpWVlYiIjo1aBoRERHqNjTbS6ic9t9LSN++faVbt27q72FhYZIxY8ZE7g0REREREZH+kmSeutevXydbU8v4pEuXTkRE0qZNq7Pc1dVVRERCQ0PVppOaZpjaQkJC1G2IfGxmmVA57b+XEHNzc7G1tdX5ISIiIiIi+hb0TupOnTollStXFisrK3FycpIDBw6IiMjz58+lZs2asn///qSKMY5ChQqJiEhwcLDOck3fNxcXF8mbN6+YmJjIqVOndMp8+PBBzp07J15eXuoyLy8vuXHjRpy+cMePH1fXExERERERfY/0SuqOHDkiJUuWlJs3b0rjxo11phNwdnaW169fy8yZM5MsyE/Vr19fRETmzp2rs3zOnDliYmIiZcuWFTs7O/Hz85MlS5bImzdv1DKLFy+Wt2/f6kxAXrduXYmJiZFZs2apyyIjI2X+/Pni6+vLppRERERERPTd0qtPXb9+/SRPnjxy7NgxefPmjcyZM0dnfbly5WThwoVJEmB8vL29pUWLFjJv3jyJjo6WMmXKyP79+2X16tXSt29ftblkYGCgFC9eXMqUKSOtW7eWoKAgmTBhgvj7+0vlypXV7fn6+kq9evWkb9++8vTpU8mePbssXLhQ7t27FydxJCIiIiIi+p7oldSdPHlSRo0aJebm5vL27ds469OnTy+PHz/+6uA+Z8aMGeLh4SHz58+X9evXS6ZMmWTSpEnSpUsXtUzBggVl9+7d0rt3b+nataukSZNGnQLhU4sWLZKBAwfK4sWLJTQ0VPLnzy9btmyR0qVLJ+t+EBERERERfQ29kjpTU1OdJpefCg4OFhsbG72DSmwMgwcPlsGDB3+2XMmSJeXw4cP/uT0LCwsZN26cjBs3LqlCJCIiIiIiSnZ69akrWrSorFmzJt517969k/nz50uZMmW+KjAiIiIiIiL6b3oldUOHDpVTp05JQECAbNu2TUREzp8/L3PmzJFChQrJs2fPZODAgUkaKBEREREREcWlV/NLX19f2bp1q7Rt21aaNGkiIiLdu3cXEZFs2bLJ1q1bJX/+/EkXJREREREREcVLr6RORKR8+fJy/fp1OXv2rNy6dUtiY2MlW7ZsUqhQIVEUJSljJCIiIiIiogTondRpeHt7i7e3d1LEQkRERERERF9I76QuMjJSZs+eLVu3bpV79+6JiEjmzJmlatWq0qpVK7GwsEiqGImIiIiIiCgBeg2UEhQUJF5eXtKpUyc5f/68uLi4iIuLi5w/f146deokXl5eEhQUlNSxEhERERER0Sf0Surat28v9+/fl1WrVklwcLAcOHBADhw4IMHBwbJy5Up58OCBtG/fPqljJSIiIiIiok/o1fxyz5490rVrV6lbt26cdfXq1ZMzZ87I1KlTvzo4IiIiIiIi+jy9aurSpEkjrq6uCa53c3OTNGnS6B0UERERERERJY5eSV3z5s1lwYIF8v79+zjr3r59K/Pnz5eWLVt+dXBERERERET0eYlqfrlu3Tqd3729veWff/6R3LlzS9OmTSV79uwiInLz5k1ZtGiRODo6cvJxIiIiIiKibyBRSV3dunVFURQBICKi8//AwMA45YOCgqRBgwZSv379JAyViIiIiIiIPpWopG7fvn3JHQcRERERERHpIVFJXZkyZZI7DiIiIiIiItKDXgOlEBERERER0fdBr3nqRET+/fdfmTdvnty5c0dCQ0PVPnYaiqLI+fPnvzpAIiIiIiIiSpheSd3EiROlZ8+eYmFhIbly5RJHR8ekjouIiIiIiIgSQa+kbty4cVKiRAnZvHmz2NnZJXVMRERERERElEh69al7//69NGrUiAkdERERERFRCtMrqStXrpxcvHgxqWMhIiIiIiKiL6RXUjd16lTZs2ePjB8/Xl6+fJnUMREREREREVEi6ZXUZcyYUdq0aSN9+vQRFxcXsba2FltbW50fNs0kIiIiIiJKfnoNlDJo0CAJDAyU9OnTS+HChZnAERERERERpRC9kroZM2ZIQECAbNiwQYyMOH85ERERERFRStErI/vw4YMEBAQwoSMiIiIiIkphemVl1apVk0OHDiV1LERERERERPSF9ErqBg8eLFeuXJF27drJ6dOn5dmzZ/Ly5cs4P0RERERERJS89ErqcuXKJefOnZMZM2ZIkSJFxM3NTVxcXOL8fEuBgYGiKIrkzZs3zrojR45IyZIlxcrKStzc3KRTp07y9u3bOOUiIyOld+/eki5dOrG0tBRfX1/ZtWvXtwifiIiIiIhIL3qPfqkoSlLHoregoCAZOXKkWFtbx1l37tw5qVChguTJk0cmTpwoQUFBMn78eLl586Zs27ZNp2yzZs1kzZo10qVLF8mRI4csWLBAqlatKvv27ZOSJUt+q90hIiIiIiJKNL2SuiFDhiRxGF+nR48eUrRoUYmJiZHnz5/rrOvXr584ODjI/v37xdbWVkREMmfOLL///rvs3LlT/P39RUTkxIkTsmLFChk3bpz06NFDRESaNGkiefPmlV69esmRI0e+7U4RERERERElgsEPX3nw4EFZs2aNTJ48Oc66sLAw2bVrlzRu3FhN6EQ+Jms2NjayatUqddmaNWvE2NhYWrdurS6zsLCQli1bytGjR+Xhw4fJuh9ERERERET60KumbtiwYf9ZRlEUGThwoD6bT7SYmBjp2LGjtGrVSvLlyxdn/cWLFyU6OloKFy6ss9zMzEy8vLzk7Nmz6rKzZ89Kzpw5dZI/EZEiRYqIyMdmnBkzZow3jsjISImMjFR/DwsL03ufiIiIiIiIvkSSN79UFEUAfJOkbsaMGXL//n3ZvXt3vOtDQkJERMTd3T3OOnd3d51pGUJCQhIsJyLy6NGjBOMYNWqUDB069ItiJyIiIiIiSgp6Nb+MjY2N8xMdHS23b9+Wrl27SuHCheXp06dJHauOFy9eyKBBg2TgwIEJjrQZHh4uIiLm5uZx1llYWKjrNWUTKqe9rfj07dtXXr9+rf6wqSYREREREX0rSdanzsjISLJkySLjx4+XHDlySMeOHZNq0/EaMGCAODo6fvbvWFpaiojoNI3UiIiIUNdryiZUTntb8TE3NxdbW1udHyIiIiIiom9Br+aX/6V06dLSu3fv5Ni0iIjcvHlTZs2aJZMnT9ZpFhkRESFRUVFy7949sbW1VZtOapphagsJCZF06dKpv7u7u0twcHC85UREpywREREREdH3IllGvzx16pQYGSXfwJrBwcESGxsrnTp1kixZsqg/x48flxs3bkiWLFlk2LBhkjdvXjExMZFTp07pvP7Dhw9y7tw58fLyUpd5eXnJjRs34gxycvz4cXU9ERERERHR90avmrpFixbFu/zVq1dy8OBBWbdunbRq1eqrAvucvHnzyvr16+MsHzBggLx580amTJki2bJlEzs7O/Hz85MlS5bIwIEDJU2aNCIisnjxYnn79q3Uq1dPfW3dunVl/PjxMmvWLHWeusjISJk/f774+vomOPIlERERERFRStIrqWvWrFmC65ydnaVPnz4yaNAgfWP6T87OzvLzzz/HWa6Zq057XWBgoBQvXlzKlCkjrVu3lqCgIJkwYYL4+/tL5cqV1XK+vr5Sr1496du3rzx9+lSyZ88uCxculHv37sncuXOTbV+IiIiIiIi+hl5J3d27d+MsUxRFHBwc1Nqw70XBggVl9+7d0rt3b+nataukSZNGWrZsKaNGjYpTdtGiRTJw4EBZvHixhIaGSv78+WXLli1SunTpFIiciIiIiIjov+mV1GXKlCmp40gS+/fvj3d5yZIl5fDhw//5egsLCxk3bpyMGzcuiSMjIiIiIiJKHl89+uXbt28lNDRUAMRZ5+Hh8bWbJyIiIiIios/QK6mLiIiQoUOHyty5c+XFixcJlouJidE7MCIiIiIiIvpveiV17dq1k4ULF8rPP/8spUqVEgcHh6SOi4iIiIiIiBJBr6ROM2XBzJkzkzoeIiIiIiIi+gJ6zRCuKIoULFgwqWMhIiIiIiKiL6RXUlezZk3ZvXt3UsdCREREREREX0ivpG7gwIFy584dad26tZw+fVqePXsmL1++jPNDREREREREyUuvPnU5cuQQEZGzZ8/K3LlzEyzH0S+JiIiIiIiSl15J3aBBg0RRlKSO5YfRcND+lA4hWS0bVjalQyAiIiIi+mHoldQNGTIkicMgIiIiIiIifejVp46IiIiIiIi+D0zqiIiIiIiIDBiTOiIiIiIiIgPGpI6IiIiIiMiAMakjIiIiIiIyYEzqiIiIiIiIDBiTOiIiIiIiIgPGpI6IiIiIiMiAMakjIiIiIiIyYEzqiIiIiIiIDBiTOiIiIiIiIgPGpI6IiIiIiMiAMakjIiIiIiIyYEzqiIiIiIiIDBiTOiIiIiIiIgPGpI6IiIiIiMiAMakjIiIiIiIyYAaZ1J08eVI6dOggnp6eYm1tLR4eHlK/fn25ceNGnLJXr16VypUri42NjTg6Ospvv/0mz549i1MuNjZWxo4dK1myZBELCwvJnz+/LF++/FvsDhERERERkd5MUjoAfYwZM0YOHz4s9erVk/z588vjx49l2rRpUrBgQTl27JjkzZtXRESCgoKkdOnSYmdnJyNHjpS3b9/K+PHj5eLFi3LixAkxMzNTt9m/f38ZPXq0/P777+Lj4yMbN26Uhg0biqIo8uuvv6bUrhJJr/3dUjqEZDe27MSUDoGIiIjIYBlkUtetWzdZtmyZTlL2yy+/SL58+WT06NGyZMkSEREZOXKkvHv3Tk6fPi0eHh4iIlKkSBGpWLGiLFiwQFq3bi0iIsHBwTJhwgRp3769TJs2TUREWrVqJWXKlJGePXtKvXr1xNjY+BvvJRERERER0X8zyOaXxYsX10noRERy5Mghnp6ecvXqVXXZ2rVrpVq1ampCJyLi5+cnOXPmlFWrVqnLNm7cKFFRUdKuXTt1maIo0rZtWwkKCpKjR48m494QERERERHpzyCTuvgAkCdPnoizs7OIfKx9e/r0qRQuXDhO2SJFisjZs2fV38+ePSvW1taSJ0+eOOU064mIiIiIiL5HqSapW7p0qQQHB8svv/wiIiIhISEiIuLu7h6nrLu7u7x8+VIiIyPVsmnTphVFUeKUExF59OjRZ/92ZGSkhIWF6fwQERERERF9C6kiqbt27Zq0b99eihUrJk2bNhURkfDwcBERMTc3j1PewsJCp0x4eHiiyiVk1KhRYmdnp/5kzJhR/50hIiIiIiL6Agaf1D1+/FgCAgLEzs5O1qxZow5oYmlpKSKi1sZpi4iI0CljaWmZqHIJ6du3r7x+/Vr9efjwof47RERERERE9AUMcvRLjdevX0uVKlXk1atXcujQIUmXLp26TtN0UtMMU1tISIg4OjqqtXPu7u6yb98+AaDTBFPzWu3txsfc3Dzemj4iIiIiIqLkZrA1dREREVK9enW5ceOGbNmyRX766Sed9enTpxcXFxc5depUnNeeOHFCvLy81N+9vLzk/fv3OiNniogcP35cXU9ERERERPQ9MsikLiYmRn755Rc5evSorF69WooVKxZvuTp16siWLVt0mkPu2bNHbty4IfXq1VOX1axZU0xNTWX69OnqMgAyY8YMSZ8+vRQvXjz5doaIiIiIiOgrGGTzy+7du8umTZukevXq8vLlS3WycY3GjRuLiEi/fv1k9erVUq5cOencubO8fftWxo0bJ/ny5ZPmzZur5TNkyCBdunSRcePGSVRUlPj4+MiGDRvk0KFDsnTpUk48TkRERERE3y2DTOrOnTsnIiKbN2+WzZs3x1mvSeoyZswoBw4ckG7dukmfPn3EzMxMAgICZMKECXH6wI0ePVocHBxk5syZsmDBAsmRI4csWbJEGjZsmOz7Q0REREREpC+DTOr279+f6LKenp6yY8eO/yxnZGQkffv2lb59+35FZERERERERN+WQfapIyIiIiIioo+Y1BERERERERkwJnVEREREREQGjEkdERERERGRAWNSR0REREREZMCY1BERERERERkwJnVEREREREQGjEkdERERERGRAWNSR0REREREZMCY1BERERERERkwJnVEREREREQGjEkdERERERGRAWNSR0REREREZMCY1BERERERERkwJnVEREREREQGzCSlAyAi0texzp1TOoRkVXTKlJQOgYiIiAwAa+qIiIiIiIgMGJM6IiIiIiIiA8bml0RE9MMY3rJSSoeQrAbO3ZHSIRARUQpgTR0REREREZEBY1JHRERERERkwJjUERERERERGTAmdURERERERAaMSR0REREREZEB4+iXRERERPRFjv3TK6VDSHZFA8amdAhEicaaOiIiIiIiIgPGpI6IiIiIiMiAMakjIiIiIiIyYEzqtERGRkrv3r0lXbp0YmlpKb6+vrJr166UDouIiIiIiChBHChFS7NmzWTNmjXSpUsXyZEjhyxYsECqVq0q+/btk5IlS6Z0eEREifJXrzUpHUKyaz+2bkqHkKqcH7c7pUNIdgV6+qV0CEREyYZJ3f87ceKErFixQsaNGyc9evQQEZEmTZpI3rx5pVevXnLkyJEUjpCIiIiIiCguNr/8f2vWrBFjY2Np3bq1uszCwkJatmwpR48elYcPH6ZgdERERERERPFjTd3/O3v2rOTMmVNsbW11lhcpUkRERM6dOycZM2aM97WRkZESGRmp/v769WsREQkLC4u3fFTku6QI+buV0H7/l7cRH5I4ku+Lvscl8l3kfxcycPoem3eRqfvY6HtcwiPfJ3Ek3x99j03Eh+gkjuT7ov/5N3Vfl0T0PzZDhw5N4ki+L4MHD9brde/ep+7zr4j+nxmK3498/6tZByDZ/r6C5Ny6AcmbN6+kTZtW9uzZo7P8ypUr4unpKTNmzJA2bdrE+9ohQ4ak+pM+ERERERHp7+HDh5IhQ4Zk2TZr6v5feHi4mJubx1luYWGhrk9I3759pVu3burvsbGx8vLlS3FychJFUZI+2C8QFhYmGTNmlIcPH8aphfyR8bgkjMcmfjwuCeOxiR+PS/x4XBLGYxM/HpeE8djE73s7LgDkzZs3ki5dumT7G0zq/p+lpaVOE0qNiIgIdX1CzM3N4ySE9vb2SRrf17K1tf0uPtTfGx6XhPHYxI/HJWE8NvHjcYkfj0vCeGzix+OSMB6b+H1Px8XOzi5Zt8+BUv6fu7u7hISExFmuWZacmTUREREREZG+mNT9Py8vL7lx40acTo7Hjx9X1xMREREREX1vmNT9v7p160pMTIzMmjVLXRYZGSnz588XX1/fBEe+/N6Zm5vL4MGD4+0v+CPjcUkYj038eFwSxmMTPx6X+PG4JIzHJn48LgnjsYnfj3hcOPqllvr168v69eula9eukj17dlm4cKGcOHFC9uzZI6VLl07p8IiIiIiIiOJgUqclIiJCBg4cKEuWLJHQ0FDJnz+/DB8+XCpVqpTSoREREREREcWLSR0REREREZEBY586IiIiIiIiA8akjoiIiIiIyIAxqSP6RjQtndnimYiIiIiSEpM6om/k8uXLIiKiKAoTuwRERkamdAj0neN3h4iSA88tZOiY1BF9A3v27BEvLy8ZO3asiDCxi8/cuXNlxIgR8uzZs5QOJcUNGzZM9u3bl9JhfFemT58ut2/f5ncnAfv27ZMPHz6kdBgp5s6dOykdAiWBlPpu37p1SxRFkZiYmBT5+z+a2NhY9f8/0vn86dOnybp9JnVE34CDg4NUrlxZJkyYIBMnThQRJnafOnHihAQGBsqcOXPk+fPnKR1Oitm/f78MGTJExowZI0eOHEnpcL4LCxculA4dOsjo0aPl3r17/O58YvLkyVKhQgVZtmzZD5nY1apVSxo1aiRnzpxJ6VDoKwAQRVFEROTly5ff7O/27t1bcubMKSdPnhRjY2MmdskMgBgZ/S/9+FHO502aNJE2bdrI3bt3k+1vMKmjb+JHP0kWLFhQAgMDpUSJEjJixAiZMGGCiPw4J7PEmDlzpnTp0kUGDhwoM2fO/GETu7Jly8rChQvl3LlzMmTIEPn3339TOqQU17RpU+nevbusX79eRowYwcTuE/Xr15fGjRtL+/btZenSpT9cYlerVi05fvy4DBkyRE6fPp3S4ZAeYmNj1YSudu3a0qdPH7l///43+dtly5aVIkWKSLly5ZjYJTPtxL1+/frSqFEjEfkx7oWsrKzk4MGDEhgYmHyJHYiSWVRUlPr/devW4e7duykXTArRHINz587hl19+gbOzMyZNmqSuj42NTaHIvh+aY9CxY0coioLAwECEhISkcFTfVkxMjPr/BQsWwNnZGRUrVsSBAwdSMKqUFR0drf6/W7dusLe3R4sWLXD79m0A/O5ohISEoEGDBjA3N8fcuXMRERGR0iF9E5r3f/Xq1VAUBQEBATh16lQKR0VfQvseITQ0FPXr14elpSUGDBiABw8efJMY9uzZg8KFC8PS0hLHjx8HoHvuoa+n/T5fvXoV9evXh6Io6Nevn7o8NZ7Ptfepd+/ecHBwQPPmzXHnzp0k/1tM6ihZaZ8Uf/31Vzg5OeGXX375YW44AN1jcPz4cXTs2BE5c+aEsbEx/v77b3VdajyZJZb2yf7NmzeoU6cO7O3tMWbMGDx58iQFI/v2IiMj1f/Pnz8f6dKlQ0BAAP79998UjCplaZ8vevToAQ8PD7Ro0QL37t0D8GN/d2JjY9X9f/z4Mdq0aQMbGxssXrwY79+/T+Hokl9sbKx6/li/fj0URUHt2rVx7NixFI6MEkP7QVbjxo1RuHBh+Pr6wsTEBKampujRoweCgoK+yd/fu3cvypQpAysrK5w5cwYAE7ukon2cf/vtN1SoUAGZMmWCoihQFAVdunRR16fG87n256hnz57JltiZJE/9H9FHxsbGIvKxecyJEydk9OjR4ufnJ+bm5moZaFXHp0aaYxAQECA3b94UGxsbyZ8/v9y6dUu6dOki4eHh0rVrV7X5QWo+FvGJjY0VE5OPp6LmzZvLzZs3JSIiQl6/fi3Dhw+X6Oho+f3338XFxSWFI01+sbGxYmZmJpcvX5ZBgwaJkZGRvHjxQrZu3Srh4eEyYsQIKVasWEqH+U3FxMSIubm5XL58WebPny9BQUHy+PFjWbp0qSiKIoMGDRIPD48f8rsj8vEzY2xsLPfu3ZMlS5ZITEyMvHv3Trp27SqxsbHy66+/ipmZWUqHmWw0548HDx6Il5eXVKtWTTZt2iQmJibSs2dPKVy4cEqHSJ+h6VvVpEkT2bZtmwwZMkSqV68u165dk40bN8qECRMkNjZWunXrJunTp0/yv4//b/IXEhIijx8/FhcXFwkPD5eyZcvK/v37xdvbW2JiYtTrOOlH8z43atRIdu3aJcOHD5cyZcrIs2fPZNKkSTJlyhSJjo6WqVOnpsp7IWNjY4mNjRUjIyN1wLw5c+aIiMjAgQMlS5YsSfOHkjRFJIrH9OnTkTZtWixbtgxv3rwB8L8nMW/fvtV5gpNajRgxAmZmZli2bBlCQ0MBAPv370f58uVhZ2fHppgAGjZsCGdnZ4wbNw6XL1/GsmXLUK9ePZiYmGDEiBF4+vRpSof4Tdy5cweurq4oV64cpk+fjnXr1qFbt25QFAUVKlTA4cOHUzrEb+7mzZtwcXFBqVKlMHToUEyZMgX+/v5QFAUtW7b84Wvsrl27BicnJxQvXhytW7dGixYtkC1bNlhZWWHevHk6tb+pieb9vnz5Mjw8PFCgQAFUqlQJefLkgaIoqF69OptiGoAHDx4gXbp0aNOmjfpZjY2NRWRkJAYMGABFUdCjRw/cv38/Sf+u5vNz9epVuLi4oHjx4vD390eNGjWgKAqsrKxw4sQJAKyxSwr37t1D2rRp8ccff+Dt27fq8rt376rdLrp27aouT43nc+1WSclRY8ekjpJdjx49kDlzZvXGKzg4GH///TdKlCiBzJkzo1OnTrhx40YKR5l8YmJi0KhRI2TPnh3v3r1TlwHAyZMnUbJkSZiammL69Onqa1Ljyexzbt26hbRp06JTp07qRT0mJgZv3rxBmzZtYGJigsDAQDx+/DiFI00+mvd80KBBsLe3x969e3XWz549G5aWlihfvjyOHDmSEiF+c5qmde3atUPatGnjNEFt164dzM3N0bJlS/WG70f67mhufKtXr46cOXPi9OnT6rpz586hTp06sLS0xPz581Ntk/cXL16gYMGCKFKkCA4ePAgAePToEaZPnw5FUVCtWjUmdt+5K1euwMjICEOGDAGg2wT9/fv3+O2332BmZob+/fsneR+7d+/eoWTJksiXL5/O52T58uXIly8frKyscPLkSQBM7L7WpUuXoCgKZs6cCQD48OGDer6+c+cO/Pz8oCgKevfurb7G0M/n/1VpkdSJHZM6SnZ9+vSBjY0Nli5ditWrV8PLywsZMmRA0aJFUbt2bSiKglGjRqV0mMmqcePGcHNzQ3h4OADdi8OOHTugKAqsra0xduzYlAoxRV24cEHnc6B9UQ8NDUXVqlVha2uL8ePHp/rBUzp16gQnJyf1AcCHDx/UddOmTYOiKKhYsaJ6A/sjqF27NnLlyqX+rp2gtGjRQq2xS46O54Ygb9688Pf3j7P89u3b6ndnyZIlqbKP3c2bN+Hg4ID+/furyzTn14ULF0JRFPz888/q4Bf0/YmKikKePHng5+enLtO+Ri5duhSKosDMzAx9+/bFq1evkuxvv3jxAunTp0ebNm3irNuyZQsyZ84MGxsbnDt3Lk5c9GVevnyJbNmywc/PDy9evADwMenRJD7//PMPTE1NoSgKOnXqlJKhJgnNZ+XevXuYPHkyOnfujFmzZqmDfGnEl9jpm8wyqaMkk9DJ7vnz5yhdurTaIbZixYqYN2+eur5o0aIoXrx4qmgi9OkXUfP7iBEjoCgK5s2bp96ka1fDFytWDPnz54exsbHO0/YfxevXr+Hh4YE6deqoy7Q/T1OmTFEv6v3791eT49RE81np168fFEXBwYMH1WUxMTFqrVXRokXh5uaGEiVK4OjRoykZcrLT7HODBg3g7OyMGzduqDcAmu/PkydPkDlzZmTJkgX169dP8iZahsDLywtlypRRf9d8d2JiYrB8+XIoigI3NzfMmDFD5yFBanD69GlYWFiotTyf7l/79u1hbGyMxo0b/5BNl78nCd0jfPjwASNHjowzEqKm/LZt2+Dn54cePXrAyMgIixcvBpA0tTivX7+Gu7s7GjZsqC7TvjZrrt0ODg4/TAuJr/W5xLdVq1YwMTHB5MmT1e44mvIrV65E9uzZ0bZtW1hbW+PPP//8JvEmB8116vLly0iXLh0cHR1ha2sLR0dHZMmSJU7rAU1i16pVK9y8eVPvv8ukjpKE9pd448aNWL16NS5evKgu+/DhA9auXYs9e/bo3JDfuXMHRYoUQatWrQz+Cdin8Wvv57t375A7d27kyJED27dv16lpuHbtGnLnzo2JEydi+/bt3yzelPC5i3qfPn2gKAomTJgQp/yaNWtQoUIFNGnSRKf/oSFLqFnG3bt34eDggHr16un0L9EoWbIkfHx8kD179lSXwCR0k7Zt2zYoioKhQ4fGKav5bmXPnh1ZsmTBo0ePvkmsKSGh4zN8+HAoiqIzmq7mHBMZGYl8+fIhR44ccHV1TdJajpSg+d5ojkVUVBS8vb1RsGBBdVl0dLRabunSpbCysoKiKD/cyMvfE+1z/4wZMzBhwgSsXbsWYWFhAD5eBytXrgxra2ud5ndPnjxBx44dUblyZTx58gQVK1aEu7t7krTYiI2Nxfv371GrVi24uLhgx44d6jrN5yQ4OBg5cuSAu7s73N3dER4ebvBNApOT9vu8bNkyTJ48GadPn1b7xMfGxqJIkSJwcHDA+PHj8ezZMwAfm0z36NEDzZo1w7lz5+Dj4wMfHx91DAJDdPfuXeTIkQOVKlVS7+22bNkCJycn2NjYqP01NTT3QB06dNB5sPAlmNTRV9M+wVWrVg3GxsZQFAUWFhYYOXJkgiff+/fvY/jw4bC3t8fy5cu/VbjJQvtE1q9fP1SpUgW5cuVCx44dsW3bNgDAsWPHkDlzZmTNmhVTpkzBq1evcOXKFQwcOBAeHh64deuWuo3UOHiM9klq48aN+PvvvzFt2jS1n9z169dRokQJpEmTBuPGjVPLPnnyBG3atEGNGjX0PtF9bzSflydPnuDw4cNYtmwZbt++rV7ARo0aBUVR8Ntvv+H58+fq644dO4aiRYvi0qVLavPM1EJzTF68eIFbt27hwIEDePfuHSIjIxETE4NmzZpBURSMHz9ep1b/4MGDKF26NB48eKBzrFIbzfF5+/YtHj9+jPv376vLzp8/D09PT2TOnBmLFi3Sed2GDRvg6emJM2fOGPT0IJp91a6F1Jg/fz4URcGvv/4a53VTp05F69atsWnTJly+fPnbBEsJCggIgKmpKUxMTGBjY4NSpUqp14DTp0+jWrVqUBQFRYoUQaNGjVChQgUoiqLW2owfPx7m5uZf3JxW87n58OGDel7RXE/2798PY2NjVKhQIU6/3YULF8LT0xMbNmxIdQ/RkpPmfdT8NGvWTE1injx5gmLFikFRFHh7e6NTp04oX748jIyMMGXKFABQ+8ReunQpJXdDbx8+fECvXr1QqlQp7N+/X71P7tWrFywtLeHu7g5LS0u1v6bG4MGDce3aNb3/LpM6+iraycyYMWOQMWNGTJ8+HevXr0fnzp1hZGSEtm3bxunrsmjRIjRo0ABWVlYYPXr0tw47SWkntVWqVFEnjK5fvz6yZMkCa2trtbnImTNn4OXlBUVRYGJigjRp0vwQfQq1b8B+/vlnuLq6wtLSEjY2NnB1dcWff/6JDx8+4MSJEyhTpgwURUH58uXRvHlzVKlSJc6cfoZMu1mGp6cnbG1toSgK0qRJg7Zt2+LKlSt49+4d+vXrBwsLC3h5eaFnz57o378/fHx84O7unupuLjTnkcuXL8PHxwcODg5QFAW5cuXC2LFj8fr1a9y7dw/16tWDkZER6tWrhxkzZmDq1KkoVaoUPDw8UvUgOprjc/XqVfj7+8PDwwPp06dH0aJF1fnY9u7dCw8PDzg4OKBv3744ffo0li1bBn9/fxQpUkTtw2KINPt/8+ZN/PHHHyhfvjzKly+PpUuX4vnz53j37p06el6tWrVw6dIlvH79Gv/++y/KlSuHn3/+OYX34MejXZOqMW3aNGTMmBFz5szBrVu3MGLECGTJkgUeHh5qDfvNmzfx119/oUiRInBxcUHBggUxdepUdRuDBw+Gvb292sctMTSfn+vXr6N+/frw9PREwYIF0bx5cwQHBwP4mLwZGxvDx8cHs2bNwvv377FlyxZUrlwZVatWTXUP0b6W9vyYgO694Ny5c5EpUybMmTMHFy9exNixY2FpaYkqVarg0KFDarlu3brB19cXtra28Pb2VhM6AOjbty+sra0Nup90ixYt8Msvv6i/Dxo0CCYmJpgzZw7WrVun3gMlZZcbJnWUJG7cuIEWLVqgffv2amf82NhYTJ48GYqi4I8//lBHv7x9+zb8/Pzg7e2NOXPmqNsw9NqpESNGwNXVFatXr1abOI0ePVqtTtc0x/zw4QPmzJmDvn37YsiQIdiwYYO6DUM/Bv+ladOmcHNzw8yZM3H16lXcunULhQoVgp2dHXbu3Ang40hoY8aMgaenJxwdHZEvXz5MmzZN3UZqaPpy584duLu7o0KFCli4cCGuX7+u9qWrU6cOwsPD8ezZM6xduxb58uVDmjRp4OjoCG9vb1y4cCGlw08WN2/ehKurK8qWLYsJEyZg3759qFKlis7EtDdu3MDIkSORJk0aGBkZwcrKCjly5Ei1x0Tb9evX4eTkBB8fH/Tp0weDBw9GwYIFYW1tjVWrVgEADhw4gKpVq8LS0hKKosDU1BTp06fH+fPnUzh6/Wm+71euXIGLiws8PT1RpkwZ9eHPzz//jNu3b+Pp06fo27cvHBwcYGlpiXTp0sHZ2RmOjo4G+7TfEGk/PNA+V+/evRvz5s3DH3/8od4jfPjwAatWrULmzJnh4eGhturRvC40NBQvX75Ut3Hy5EkUKlQIvr6+iX5IoT1tgZOTE/Lly4fmzZujTp06SJcuHezs7NSakY0bN8LV1VWtXTI1NYWLi4tBf3+Si+Ze5dM+rDt27ED79u3RtGlTnYGZ5s2bBxcXF1SqVAkHDhxQl4eHhyMkJERthgl8fJ+LFi0KX19fg2p+qd38W0PzUGPZsmUwNzfH5MmT1ZYmDRs2VD9rnzbF1BeTOvpq7dq1g5WVFby8vLBp0yYAusmJdmIXFBQEAAgKCtIZAcjQk5nY2FjUrl0b1apVU09k+/fvh7W1NVq0aKEmtJ8bpMDQj8F/uX79OrJmzYrRo0er/Sj27dsHa2trNGvWLM5Q1R8+fMDz5891mtQZ+jHSnPSHDBmC/Pnz6wzcMHLkSFhYWGDx4sU6/THDw8Nx4cIFXLt2LVU2L9QMhtKxY0cULlxYrXkCgAEDBsDa2hpLly7VuVDeuXMHe/fuxcGDB1N1DZ1GREQE6tWrh+LFi+t0sG/ZsiUURcHq1avVm4fHjx/j/PnzmDZtGjZs2JDkQ8CnhBcvXqBYsWKoUKGCTrM7Hx8fZMiQAfv27QMAvHnzBhcvXkTnzp3RrFkzdO/e/asGHaAvs3TpUhQsWDDOAE6BgYFQFAX29vYYMWIEAOhMXaOd2GmaCGt/32NjYzFr1iyUL18ejo6OX/wQ5+3bt/Dz80PJkiV1vj+aJoJr1qxR/96NGzewbt06DBw4EDNnzjTomqLksmLFCmTMmDHOaLqdOnWCoijInz8/FixYAEB3bIF58+bB2dkZlSpVitPMFfj4Wfjrr78QEBAABwcHnXEZvmfaTXu1aSe+f/zxB3x8fNR7YACoWrUqqlevjurVq+Pq1atJEguTOvpqBw4cgI+Pj5q4aU8qqfHnn3/C1NQ03rk4DKHm5dMYP+3bFRkZqQ74AnxsCmVlZYVGjRrpDNywdOlSnDlzJvkD/g58moDt3bsXxsbG6gV59+7dsLS0RKNGjdQmMADiDOSgOfaG8Dn5HO34f/75Z5QqVUr9vXv37jAxMcGsWbPUhDcsLEznKXVqV6xYMZ3RT7t166Yek9evXwP4eEx+xIEuPnz4gJw5c6Jnz57qsl69esHU1BRz5sxRj09qdfnyZbi4uGD27Nnqsp49e8LU1BSzZs1SzxmG/tDH0G3fvh2KomDJkiU6yw8fPoxatWrBwsJCpzma5iY4JiYGq1evRvbs2eHm5hanH/7KlStRokQJFClSRK8b/cePH8PDwwPjx49Xl/Xt2xempqaYN2+e+v0x9MHavoXY2Fj8/fffUBQFs2bN0ln36tUr5M+fH4qioHr16mpCp32/NG/ePLi5uaF8+fI6NXYAsGvXLpiZmaFQoUIG0/pCu2l469at0apVK0yaNEl9AKuZsqFixYrIkyeP+rqzZ8+iZMmSWLVqVZKO5s2kjr5IfDfWUVFROHr0KAoWLIgMGTJg27Zt8Q5oMXHiRCiKgj179nyLUJNcREQEbt++rfN0atmyZQgNDUV0dDSqVq2KMmXKYMeOHbCyskLDhg11kpW9e/ciR44cWLduXUqE/01ER0fH+YxoLtAXLlyAqakpdu/ejVOnTqnHSDvpnTp1KgoXLpwq+i9ojoPmhK19gatevTqqVasG4OPNqSZ50f5sNWvWTKdpbmqiORbazawKFiyIHj16ANBN6LSPSefOnXVq8lIrTS2G5jz6/Plz2Nvb46+//gKgm9Bojk9ERARatmxp8NN9xMbGxrm53rRpEywtLdWn3N27d4+z/1FRUdi7d686/YdmW/RtaVqlANAZ/OvkyZNqzdjIkSPV5dqJ3YoVK2Bvb4+5c+fG2e7Zs2d1muh9juZ7o0nyb968CUtLS2zcuBGA7vdHc62JjIzEsGHD1IdqlLCIiAidJqnaNVRv376Ft7c3FEXBxIkT1Ydw2mVmz54NIyMjrF+/Ps62z58/b3CtL65duwYnJye4uLggbdq0sLa2hre3t3q+ioqKwtSpU2FiYoKmTZtizJgxKFWqFFxdXZO8fzyTOko07Qvthw8fEBERoTPn2tGjR5ErVy5kz54dO3fujDex+5LOzd+b7du3o1ixYlizZg0AqF9KTXv8PXv2wNraGoqioHHjxjrJyqNHj9C1a1f89NNPqXYeuqioKCxevFjngl25cmU0bNgQb968waNHj1CsWDEUKlQI1tbWaNKkiU7Se/v2bTRo0AAVK1ZUhz82VPfu3cPYsWPVmraTJ0/C2dlZbWKxYMECmJiYoFq1aurNhfbNxKZNm+Dm5oaFCxemSPzJ4c6dOzpP8E+cOIFixYqpN1W9evWCnZ0dWrZsCVNTU8yYMUOn1n/ZsmVwcnLCli1bvnns38L9+/exb98+NUm5ePEiOnXqhCdPniAmJgb+/v4ICAhAmzZt1IRX+/jMmTMHjo6OOgMRGJJHjx7p9J+5evWq2qzy7t27SJMmDSZPnoxhw4bBxMQEM2bM0En4O3bsCE9Pz0Tf+FPyatiwIfLly6czut/p06cREBAARVF0BkjTTuw+bS6b2NrXoKAgXL9+XX2ocfXqVSxcuBBv3rxBSEgI3N3d0adPH/To0UP9/mg/PBw9ejQKFCjwVSMP/gg+fVDSpEkTuLm56bSgCAsLw08//QRbW1tMmTIlzkMqAHFGojW0BzDa98OdO3dG+fLlcfToUcTGxuKvv/5Czpw54e7urjZ/v3PnDnr27AlnZ2fY2dkhX758yVIbyaSOEkX7Azx48GBUr14dvr6+qFevnk4b9WPHjiFnzpzInj07du3apX6JP/3CGmIzmatXr8LPzw82NjbInz8/3N3dsX79evWE9eLFC/Tr1w/W1tb47bff1KeUly5dQr9+/WBubq4z4Edq8+HDB3To0AHm5ubo0qULKlSoABcXF2zYsEH9/MycOROKoiB9+vQ6cwI9fPgQAwcOhJOTkzpSqCH7999/kSlTJmTPnh1HjhyBk5MTihcvjitXrgD4+GSvTJkyMDU1RYsWLXRee/LkSfj7+6NgwYI6Sa8hi4mJwebNm2FnZ4cGDRrgzp07cHR0hI+Pj3oTd+DAAeTKlQtGRkbo37+/zus1x6R48eIGPSx/QmJjYzFp0iRkzpwZU6dOxenTp2Fubo569eqpNd2a746iKAgMDNR5/YkTJ1C2bFn4+/sb5CiXr169wpAhQ1C+fHlEREQgODgYFhYW6gOhV69eoX79+rCzs4OJiQkWLVqk8+T/0KFDKFu2LJo0aZIqavlTg61bt8Le3h5+fn46id2pU6fUGrv4EjuNL7lHiIyMxMiRI+Hr64sTJ07g7NmzUBQFTZo0UR8UDB48WP3+/PXXXzpJyIkTJ1CqVCnUrl071TdlTkpRUVH466+/kDZtWnh5eem0EggLC0OePHniJHaa91lzT2iI94IaV69exZQpU9ChQwed+XWjoqKwfv16ZM+eXWe06levXuHevXs4d+5csvWPZ1JHXyQgIAD29vYoVqwYihcvjjRp0sDGxgZ//fUX3rx5AwBqjV3u3LmxY8eOzw4OYmiuX78OKysrmJqaolu3buo+a9y+fRt9+vSBlZUV7O3t1S+1vb09xowZo5YztKdSiRUVFYWaNWvCwsIC1tbWaq2mNs2IoHny5EFgYCBGjhyJn3/+GWZmZqnmGIWHh2Pu3LlIkyYNTE1N4efnh8ePH+s8qdyyZQvy588PU1NT9O3bF5s2bUJgYCCKFi0KJyenVDdi36NHj9TJVS0sLFC9enXcvXtX55hMnjwZ6dOnh5ubG1atWoXTp0/j77//RqlSpeDk5JSq5xl7/vw58ufPD3t7e1haWqJSpUq4ffu2zgO1QYMGQVEU1K9fH/v27UNUVBSWL18OPz8/uLi4JFln+5Qwbtw42NraqqO91qxZU6dlx4EDB+Dh4QFnZ2ed6U327NmjTvNw48aNlAj9h/fpuVrz+969e2Fra4vy5cvHm9iZmJjEeUChr2PHjiFDhgzInj07rK2tUaVKFVy9elVNGoKDg9G8eXMYGRlh5MiR6mdl48aNqFSpEtzc3FhL9x+032fN/yMjI7FgwQK4uLggf/788SZ2jo6OOk0xU4PIyEj89ttv6nREK1euBKA7MMy6devUe8BvNWAVkzpKtFGjRsHR0RHLly9Xm70cOnRI7QA9c+ZMAB9v7I8dO4YsWbLAxcUlVYy+pjmBaW7E8+XLBxsbG6xatUpnImQAeP36NU6ePIl27dqhYcOGGDVqlDpcP2DYT6Y+R3NzHhAQoE4s27ZtW3W99gl9/vz5KF++PCwtLWFpaYkyZcro9KMw5GOk+azcvHlTnW8ta9asavNK7ZP+3r178dtvv8Ha2hqmpqZwc3NDhQoVUm3ycuzYMVhYWEBRFFSpUkVdrt2Mbu7cuShevLg6l6OLi4veAyQYCk3idvDgQSiKAktLS3Tr1k19IKZ9jhk8eDCsrKzU5NjOzg6enp4GM7DAp7RvFDt37qyOkrhr1y51veZ8sH37dnh6esLExARFihRBgQIFkDVrVqRPn95g99/QaT+Uia+WdM+ePfEmdqdPn0alSpWgKApOnTqVJA/xli5dCkVRYGdnh1mzZsXpm3np0iU0a9YMiqLA1tZWnfIiW7ZsnLbgP2i/z59en8PDwzF//vwEE7vs2bNDURSD7n4Tn1OnTuGXX36BkZERmjdvri7XrshYt24d8uTJA3Nz82/S8oZJHSXaL7/8gjx58sTps3D79m1Ur14dtra2avOymJgYHDp0KFX1CQKAly9f4t69ezh9+jQqV66MNGnSYOnSpYmujTTkZCWxtmzZglWrVqm1uh06dFBvSrUTu7dv3yI4OBiPHj3SGfEytRyjc+fOYejQoejfvz9sbW2RJ08etSmQ9k16eHg4bt26hV27duHmzZtxRv9MTbZs2aLOYaQoCn799Vd1nfZn48WLF9izZw+WLl2KY8eOpcqpHOKzYsUKFC9eHDlz5oS9vT3GjRunHhftG9RDhw5hyZIlGDp0KP755x+d/ruGSHPDWKVKFeTJkwcODg46w39rn18vXLiAKVOmoHLlyqhRowZGjBjBYedTiPZnsmfPnqhQoQJatWoVpwl9QondsWPH1MFLvlZsbCzGjBkDX19fpEuXDnny5MGuXbviPHQFgPXr12PAgAFo3749Fi1alCoePCcn7Wty9+7dUb16ddStWxeHDx9Wm6uGh4erc9F9mti9fv0aixYt+uZxJ6X4aimBjwP41KpVC4qiYPDgwepy7XPWihUrUKhQoW/SkoBJHSVKbGwsihcvDi8vL3WZdn+57du3w8jICN26dYv3ptwQb9Q/fcr36ZPEc+fOwd/fP05iFxoaiiNHjhhk35Yv9bkhoN++fYtq1arBzs4OHTp00Llpf/fuXbyT1Bpyk8v4Yo+JiUFkZCSmTp2qJnaai6DmO5Ga+wAlNFpuSEgIunfvDkVRdIY413yeDPF8kZRevXoFb29v2NnZYcyYMeqNqeb4GPL35FPa+3L//n3cu3cPgYGBcHFxQeHChdX+KPHdnNP3oUaNGrCwsEDBggXh4uICFxcXdOzYUafM3r17YWdnBz8/P525BjWS4jv/6tUrPHv2DMePH0eWLFnULiDxDdpGXy4gIADW1tb46aefkCFDBtjb22PSpElqP2ftxK5gwYLxjsRriOd2zXk3NDQUDx48wPHjx/H69Wt1X86cOaMmdkOGDFFfp53YfdpVJ7kwqaM4EhrUZOjQoTA1NcXSpUvVddofWg8PD9SrV+/bBJnMtJOVwMBA/PrrryhbtixWrFihMwTt+fPnUalSJTWxO3/+PMaMGQNFUeKdXDM10b5Q7tu3D+vWrdMZ/AT4WLNZvXp12Nvbqxf5iIgITJw4EQEBAammVkrzeXn+/DkuXLiAffv2xZlAfMqUKbC1tUXu3LnVRO7atWuoU6eOzmBDqYXmmLx69QohISFxmk8GBQWhW7duah8xjatXr6Jjx47f7CKYUjTHJzw8HKGhoXGGUn/x4gW8vLzUxE5zXr5x4wb++usvnUlsDZHmuqL599Mb7+HDh6uJ3d27dwF8PGa3b9/WGUE4NSW4hkL7+njv3j3kzZsXy5YtQ2xsLJ4/f45WrVrB2dkZzZo103ndvn37YGFhgUKFCn31gEfaD4Diaylz9OhRZM2aFblz58b27dvV5Tdv3sTOnTt1RlolXZpjq/2dPHbsGLy8vLB27Vo8e/YMr1+/Rt26dWFkZIShQ4eq0xCEh4djwYIFsLOzQ6ZMmQwyidOmORZXrlxBsWLFYGdnp44J0L17d/Wzd/r06f9M7L4FJnWkio2N1fkSf3qRPXz4MFxdXeHt7a32d9C4ffs2MmXKpM4zZci0T0IBAQFwdHREvnz5UKhQIZiZmaFp06Y4e/asWubChQvqMM0ZMmSAmZkZBg0alAKRfzvaF/W6devC2dlZ7ctQunRpnVq40NBQ1KhRA7a2tihdujRatmwZ7wh+hkr7pO/j4wNbW1uYmZkhT5482LZtm5q4RkRE4M8//4S9vT1y5MiB0aNHw8/PD4qipLr+HJpjcvXqVZQtWxaurq6wtbVFnTp1cOnSJfVCFxwcrCZ2P//8MxYvXoyqVatCUZRUPWiB5vhcv34dderUQa5cuVC8eHH06NFD57sVGhoKb29vODg4oH///tixYweqVq2KjBkz4uHDhykV/lfT7OOdO3fQp08fNG7cGO3atYszZ9OIESPg6uqKwoUL4969e7hy5QqqV6+OrFmz4s2bN0zovpFz587FO39bp06d0LVrV5QoUUKdvgUAnjx5gi5dusDJySlOYrdjxw5Mnz79q+LRnvC5VatWKFq0KGrXro3FixerD8xiYmJw/PhxZM2aFXny5MGaNWtw6NAhVKpUCXny5PkhWtJ8Ke2msdrGjBmDPn36oECBAjrvMwA0btwYiqLESez+/vtvdZwFQ3fr1i24urqidOnSGDx4MObPn4+iRYvCzMwMFSpUUFsRaGrsTExM0KtXrxSJlUndD27jxo1qgqadzAwaNAh16tRBnTp10L9/f/UEuHbtWiiKgnz58mHOnDkAPiY1gwcPhrm5OdauXfvtdyKZ/PHHH/Dw8MDSpUvVp4otWrSAjY0N6tatq9Pp9/nz5xgzZgzat2+P5cuXq8sN/SnVf6lfvz7c3NwwatQoHDlyBLNnz4a9vT2KFi2qPl0HPt6ctm7dGjly5ICHhwcmTZqkrjPkGzPt2hNXV1eUKFECY8eOxbJly1C+fHmkT58ec+fOVS+EERERmD17NvLly6fW2qW2AR40x+TatWtwdnZGkSJF0L17d4waNQoZMmSAr68vtm3bpl4IHz16hIEDB8Le3h5WVlbInDlzqktytWnOCVevXoWLiwty586NRo0aoUqVKuqNw6eJXcmSJWFkZAQrKyu4ubnhzJkzKRX+V9Ps/+XLl5E2bVpkyJAB2bJlU0cJ3rBhg878eyNHjoSrqyssLS2RNWtWODg4GPT+G5rTp09DURSdWgkA2LVrF6ysrJA+fXpUrVoVwMcHwZqHwU+fPkXnzp3h5OSEli1bxrttfc79ms/PlStX4OLigqxZs8LPzw958uRBhgwZ0K5dO7WWPyYmBidPnkSuXLmgKAqcnJzg7OycKltGfK3Dhw9DUZQ479XRo0ehKAocHR1RrVo1dbl2c+hGjRpBURQMHz5cnYJF+xxmKNd47fOORnR0NLp27YoMGTLotL568+YNunXrBktLS9SuXVv93F+4cAEVKlSAvb09nj179s33nUndDyo2NhbXr1+Hoijw8vLC/v371XUBAQEwNzeHp6cnMmfODEVRkClTJuzduxfAx9F8MmXKBEVR4OrqCmdnZ1hbW2PUqFEptTtJTnMhGDVqlNoH6uDBg0iTJg3y5csHMzMz1KpVK87Np/ZFL7UndLNnz0bOnDkxd+5ctTZqx44d6sh8efPm1UnsIiIi8Pz5c51lqeEYvXr1CtWqVUO5cuVw4sQJdXnXrl2hKApcXFwwe/ZstblPdHQ0goODceTIEfUCmNo8f/4c5cuXR8WKFXWOye+//w5FUVCgQAFs375dvTF49eoVLly4gLVr1xp0DVRiPX78GL6+vvD398exY8fU5VWqVIGiKPD19dVpKfHmzRssXLgQs2bNShWDgty/fx958uRB5cqV1WvPzZs3kTFjRqRLlw4rV67Uab68bNkydOjQAY0bN07VNbjfo1evXqFdu3bxtqyYOXMmPDw8oCgK9uzZA+DjvYXmhv7p06fo1q2b+iA0qQQHB6NAgQKoVKkSjhw5oi7Ply8f7Ozs0KJFC53m2y9fvkT//v0xYsSIOJOb00e3b99G7dq1MX78+DjrNm7cqDY73LJli7pcO7Fr0qQJFEVBnz59dEYzNhQNGjRA3bp14zTLjY2NVeeN1dCMD/Dq1Ss0adIEVlZWOg/zL1++nGLXMSZ1P7i///4bzs7O8PX1xb59+3D9+nXkyZMHy5YtU7+YS5cuRb58+ZA2bVocOnQIwMehXOfMmYOGDRti2LBh2Lx5s7rN1HCjfvXqVZ0biPPnz8Pa2hqNGzdGbGwsevbsqQ7yoN2/40cRFRWFTp06wd/fX63FPHLkCKysrNCgQQPMnz9frbG7d+9evNswlKd3/+XKlSsoXbo0Jk6cqC7r06cPzMzMMHXqVFSqVAlOTk6YM2dOnKYrqdXRo0fh4+ODGTNmqMt69eoFc3NzDBs2DFmzZkW+fPmwdevWH3IAjBUrViBTpkzYtGmTuqxv374wMzNTbxKKFy/+2YGIDFV0dDTGjBmDwoUL6/R16tGjBywsLJAnTx513qdPBxFKTXOeGhLt7+jKlSt1zmPz589H2rRpkTVrVhw4cACAbmL35MkT/P777zrngq8RGxuLmTNnIlOmTDp9uAcOHAhjY2OUKlUKtra2aN26dZyal9RyzUlqmuOiPfH6vHnzdMps2rQJFhYWKF26NA4fPqwu1/5s1KxZE5MnT07maJNeZGQkevfuDXt7+zj3K+Hh4ahZs2acJu+az/fDhw/h4OCATp06fdOYE8Kk7gelnXjNnj0bdnZ2KF68ODp06ABPT0+dIcSjo6Oxb98+/PTTT8iePXu8bevj266hSGiEvqdPnwL4+FQ9X758qFy5Mm7dugXgf02nXF1dUalSpR9myHVtN2/eVPsW3r59G66urqhbty6ePn2Kd+/eoXr16lAUBZ6enrh9+3bKBpuMQkNDdSZDnjx5MoyMjPDXX38hPDwc+/fvh6mpKbJnz46pU6em+gFAgI99xbRr7seNGwcjIyP8/fffiIyMxMKFC6EoCsqUKYONGzemyuTlc+7cuYOGDRuqv48ZMwbGxsaYN28eXrx4gdatW6vHJ7UlMjExMejfvz86d+6sLhsyZAhMTEwwa9YsnD9/Hnny5IG7uzvWrl2rU2PHm/KUtXjxYiiKgmHDhukMcjV79mx4eHggV65cOHjwIADdxE675iYp3sN9+/bh999/V38fOXIkTExMsGjRIrx9+xYlS5aEoiho3bq1TqJCiTNt2jS1ya22devWwdzcHOXKlUswsTNU79+/V6eGefz4sU6N3cSJE6EoCmbPnq2ejzWf44iICGTNmhW1a9f+5jHHh0ndD0z7i7hkyRLY29sjc+bMqFixorpc0wTow4cPmDFjBhRFwbRp0wCkjgvs5yZO1ezf8ePH4eLiojP3zo4dO1CwYEF07Njxqzt9f+/+64Y7JiYGI0aMQJYsWXDy5En1uA0aNAilS5eGm5sbFixY8C1CTXYJPbTQ7PPdu3eRN29edOzYUb3pefPmDfLlywc3Nze4u7unulHXEjomms/NxYsXkSVLFvTt21c9JteuXVObcHt7e/9Q0zp8+vvhw4fh5OSEwYMHqzUgZ86cUZu+lypV6pvFmlw+nbLk/fv36s3R2rVrYWNjgwkTJqifA01SqygK1qxZkzJBUxyhoaHo168fTExMMHToUJ3EbtasWWpip2nRExsbm+D8Xl/jw4cP6udn+/btsLW1RWBgoNr3f+nSpXB1dYWjoyPat2+fKu5VvqVbt26hVatWcHJyQrdu3XTWrV27Vk3stJu+al8HDPl4P3/+HC4uLmjRooX6sP79+/eoUqUK7O3tsWrVKp2KjSNHjiB9+vQ6c9SlJBOhH1JsbKyYmZmJiMi8efOkWbNmEhsbK23atJH79+/LunXrpHbt2mJiYiJRUVFiamoqzZs3l27dusnNmzdFRERRlJTcha8WGxsrJiYfvwIdO3aUCxcuiKmpqbRt21bKlCkjzs7OIiISGhoqr1+/ljdv3oiIyLNnz2THjh3i6uoqf/75p7o9AAZ/TD4VExMjxsbGIiIyf/58URRFnJycpHr16iLyv32+dOmSKIoihQsXFhGRoKAgOXr0qJQvX15Wrlwpbm5uKbYPSUVzLB49eiRXrlyRqKgoqVKlioj877sQEREht2/flhYtWoidnZ2IiGzfvl2srKzk1KlTYmxsLPb29im1C0lOc0yePXsmT58+lejoaClQoICIiPq5CQsLk5CQEMmbN696TA4fPiy5cuWS3bt3i7GxsVhZWaXYPiQnzfEJDQ2VN2/eiI2NjTg6OoqIqOfVoKAgiYyMlFq1aomDg4OIiGzdulUcHR1lyJAhUrx48ZTcha+i2f/o6GgxNTVVvycWFhbq/0+dOiUZM2aU6tWrq5+DmJgYadasmZibm4unp2eKxf8j076excbGipGRkdjb20uvXr0EgAwdOlRERDp37ix2dnby+++/i4jI6NGjpWnTpjJnzhwpV66czja/9Pqo+fy8f/9ewsPDxcnJSURETE1NJTo6WkRErly5Ira2tlK/fn31u3Xu3Dnx9PQULy8vadu2baq7Licl7fcZgIiIZMuWTQYMGCAAZP78+SIiMmHCBBERqV27tixbtkyaNm0qvXr1ksDAQCldurQYGRmp2zS04x0ZGSnm5uYSExMjTk5O0q5dOxkzZozY2NjIkCFDxMHBQYYPHy5du3aVFi1aSJMmTSQgIEAePXokS5culaioKPntt99Sejc+SsGEklKI9lOUatWqIVeuXGon50WLFsHS0lKdtFPb9evX4ejoiD59+nzTeJOD9jGoXr060qRJg2LFiiF37tywtLREt27d1OG1nz17hty5cyNTpkxo2LAh6tatCzMzM4NsO66vgIAAmJqawtjYGObm5qhXr57Ok7np06dDURTMmzcPBw8exIABA2BnZ4d//vlHLWPIT+80sV+6dAkZM2aEsbExFEVB0aJFceTIEfWpcVBQEOzs7NCoUSNcvnwZu3fvRrVq1VC0aNFUV0OnfUyyZ88OS0tLmJqaomXLljqDeRw8eBCKomDkyJEICQnBsWPHULVqVVSqVClV19Bpj9JXpEgRuLm5wdfXFwMHDtQpt379eiiKgvXr1wP4OEhT1apV0bFjR4NueqnZf820DdWrV8cff/yhM5R8TEwMatSoAQ8PD7Vm99y5cyhatCgmTJhgkM35U4NPW2d8OvBFaGgo+vbtq85Rpl1jN2PGDKRJkwYLFy78qhi0R4n19/dHrly50KBBA50BKYCP017Y2tqqzQFPnz6N8uXLY8yYMV/1938En45QqRkAROPu3bto2bIlHBwc4tTYrV692qBr0u/fv4+tW7eqrbXOnz+P3377Da9evUJkZCTGjx8PY2NjdOjQQa2Zu379Olq0aKG2IrC1tcVPP/30XY1gzaTuB6P9JX7x4gV8fX0xb948nXbnc+fOha2tLbJmzYqlS5ciMjISFy5cwMCBAw36S6yh3eTy5s2bKFq0KNasWaMegzZt2sDBwQEtW7ZU+4I9ePAAFSpUQObMmZEvXz61CSpg2MlKQrSP0ejRo5EpUybMmjULhw4dwqBBg2Bra4sKFSqozcWuXbumDmtsZGQES0tLjB49OqXC/2rxNRkKDQ1F0aJFUbFiRcyePRvz5s1Dnjx54OHhgbVr16qd8ufPnw8LCwtYWlrCzs4Obm5u39VJPyk9e/YMefLkQdmyZTFs2DAMGDAANjY2KFu2LI4ePaoeO81cdBkyZIC7uztcXFziTEaeGj148AAZMmSAl5cX/vjjD5QsWRLW1tY6IwFeu3YN5cuXh6mpKQoWLIjMmTPDyckJly5dSsHIk8atW7fg6OiIzJkzw9PTE7a2tsiWLRsOHz6sXou2bt2qDgvepUsXlChRAq6urqm6H+73TPseoW/fvvDz80O2bNkwcuRInWl8Xr58mWBil1Tf7Tt37sDFxQU5cuRAjRo14O7ujkyZMuk0ddu1axfSpUsHT09P1KhRA15eXnB2dsaVK1eSJIbUSvt9HjJkCCpXroxy5cph4MCBOg9T7ty5k2BipxljwNDExMRg5syZyJo1KwYPHowLFy7A2toa1apVQ1BQEICP3XG0Ezvte+QTJ05g+/btOHz4sDr2wveCSd0PqkWLFqhbty5y5Mihjuij/SWfN28ezM3N1eHHc+XKhZw5cxr0jfqnunfvjvbt2yNbtmzqCI4a3bp1g4ODA1q1aqUOgRwWFoYXL17oDEOf2p8kX7t2DRMmTMAff/yh1qq8fv0aS5cuhZOTE8qVK6ee7J49e4Zdu3ZhyZIlamd5wHCPUUxMjJqUvHz5EkePHkXBggV1ah8fPnyIokWLqoM6aPqpHjt2DL1798bEiRNT3c2p5v18+/Yt9u3bh0KFCqmj3gHAgQMH4OzsjGLFiuHo0aPq8jlz5qBRo0bo0aMHbty48c3j/lY0xyc6OhqXL19GiRIl1GkLXr58icDAQJiamqJ69erqaw4fPoz+/fujbNmyaNq0Ka5evZoisX8N7f0GPj4MGTRoEMqWLYszZ87g/fv32LdvH3x9fZEuXTrs3r0bwMc+p3PmzIGbm5s60fiPkPB/j7TP1QEBAXB2dkbp0qVRu3ZtmJubo2LFiti2bZtaRpPYmZmZYeDAgXFaI+hz7td8fqKiorB161ZUqFBBnZcwJCQENWrUQIYMGdCzZ0/1NWvWrEGVKlXg6emJKlWq4PLly1/8d38kn77PdnZ2KFq0KMqXLw9zc3NUqVIF165dU8tpEjsXF5d4R3k0xGv8w4cPUb58eTg4OMDCwgKVK1fGnTt3dO6D379/ryZ2HTt2xLNnz1Iw4sRhUvcDunTpEjw8PJAuXTrkz59fbVoRHR2t8+VcvHgx7O3tkT17dowZMyZVJTOaOfocHBxQvnx5dbn24DFdu3aFg4MDWrduHe+NeWqsodM2YMAAKIqC9OnT488//wTwv/f9/fv3amJXtmxZnae02gztc9K5c2eMHTtWZ5mm47Svry+KFy+uLtcestvX1xdubm5Yu3ZtqmtS2L9/f50bOeDjPFGZMmVCzZo14e/vry7XHJOjR4/C2dkZRYsWxbFjx+IMlJGazJs3L84T6zt37iBTpkyoVq0a6tevr7MuNDQUY8eOhZmZGQICAtTlUVFR+PDhg8GNJKc9Ia/GtWvXMGbMGLRu3Rr9+vVTl0dHR+Pq1asoXrw40qVLpzb7Bz4mCEFBQRyt8DvQuXNnZM6cGcuXL1ebyw4bNgwmJiYoU6aMzlQUoaGh6hQ/2nMufo0bN26gVq1aKF++vM4oscDHxK5evXrIkCEDevTooS5/9uwZ3r9//0OMLpxUOnbsiEyZMmHZsmVq08vAwEAoioKqVavi2rVrOoOANW3aFIqi6Dy0NUSa+5J9+/bByMgI5ubmOpOuazd7107sunbt+t2PdM6k7ge1d+9eFCpUCIqi6LQ9j4mJ0bkR//vvv6EoClatWqUuM/QbM83+nThxAra2tlAUBfPnz1fXa99U9ejRA1ZWVvj1118/O5VDarRz507UqFEDxsbG6vDR2qOZvX//HsuWLUPatGlRsmRJg5+D7caNG3BxcYGXlxeePn2q7uerV6/Qu3dvteZaM1ky8L/vgiax8/Dw0LlAGroDBw5AURSUK1cOYWFh6nfn4cOHqFq1KhRFQdq0aXWSGs0x0SR2pUqV0qnJS002b96sDv2tfd7YvHkzsmbNChsbG9SpUwfAxxsFzfHTTux+/vnnFIk9KXTp0gVmZmZYuXKluiw6OhqDBw+GoigwNzdXry/a1w1NYufu7o69e/fqNPemb0/7vbl8+TLy58+PPn36qA/r9u7dizRp0qBEiRKwsbGBj4+PTp/7Fy9e6Axx/7WmTp0KRVHg7u6OQYMGAfj4udJ8TkJCQlC3bl1kyJABvXv3TrK/+yO5cOECihYtikGDBqk1rAcPHlSbzzs6OqJ8+fK4cuWKet66desWdu3alYJRfz3tz/qKFStQqVIl+Pr6wtHREX379lXXa5+T3r9/r05r0KdPn+/6YTWTulTucx++gwcPokCBArC2tsbMmTN1XqP9OkNvCvO5IflPnDgBS0tL5MiRQx2oANBN7Nq0aaMzD1lqlFCivnfvXlSqVAnGxsbqjdunid2SJUtgZGRk8H0tgY/TV2j6Mmk3JXr+/DlGjx4NIyMjtGrVSmcSUu3ELleuXMidO3eqegCwbNkydT5C7QET7t69q3YaHzt2rE5treaYHDt2DIqiwN/fX2e+sdTkzz//VJuZat8IrF69Gt7e3lAURb0B1j63hoaGYsKECVAUBQ0aNPj2gSeBf//9F97e3jh//rzO8tu3b2PIkCGwtLSEv79/vM2Wrl69itKlS8Pc3DzVJv3fo09rzT8997948QJdunRR+6RdvHgR1tbW6mdUM8dkhQoVsHHjxjjbT6ob3smTJ6utabSHztdO7H799VdYWlpiyJAhSfI3U5NP39dP35cbN26gRo0aalN4Tb+yhg0b4v79++pcdXXq1MHly5f/c3uGQLt1zcmTJ9Xr2aNHj1ChQgU4OjrqPCT49DsyefLk776vJpO6VEz7BuPEiRM4fPgwTp06pVNm3759KFiwIFxdXTFr1ix1ufbNh+YDbYhfYu1jsGnTJsydOxczZ85ESEiIepN5+PBhWFhYIHfu3NiwYYNaPr5mUIZeSxkf7WMUFhaG4OBgnSYs+/btQ9myZWFsbKwmbtqJ3bt373D9+vVvG3QS+/R9vXPnDgoVKoSpU6eqy168eIHBgwfDyMgIHTp0UDtUa7/+2bNnuHv37jeJObl9+n2/efMmKlasqPOk9t69e6hXrx4sLCwwdepUnaZzmmNy8uRJg/98JMbly5fRq1cvtQ8u8HFOpzx58sDKykptaqh9bn358iX+/PPP7/5G4XM0zY1v3bql06Lj7t276NOnD4yMjNC1a1d1ICFtly5dQqVKlVJ1H8vvUUREBDZs2KCTTDdv3hzz5s0D8L8HWs+fP0fRokXh5+enfq6fPn0KDw8PODo6In/+/Lh3795XxfK5+4pJkybBwsICZcqUwYkTJ9TlmmtWcHAwmjVrxs9PAiIjI7F582ad82+zZs2wb98+ALrvs4+Pj9qvDPg4OmTatGmhKAry589v8KM3axK6K1euoFChQihWrBjmzp2rLg8KCkKFChXg4OCgk9hdv34dY8aM+e4GREkIk7pUSrt2qlGjRnB3d4exsTGsra3Ro0cPnWGl9+7dqyZ2c+bMSYlwk4X2xaJWrVpwdXWFhYUFLCwskD17dkyaNEltH3306FE1sdN++phaJtRMiPbnpG3btvD29oalpSVKliyp0yz34MGDn03sNAwx8dfQHIvIyEhcvXoVuXPnRp48eTB79my1zMuXLzFo0KDPJnapifagF5s3b4ajoyNKlCihczN4//591K1b97OJ3Y9A82S7U6dOOlM6rF27Fp6enkiTJk28iZ2hHaPatWujZs2a6u/h4eGIiIiAj48P0qdPj6VLl6rr7t+/j169ekFRFHTr1i3exM6Qp20wVPfv34ePjw/y58+PPXv2wN/fH05OTti5c6dOuZs3b8LNzQ0TJ05Ulx09ehS+vr6YMGGCzrlRH5rzS0hICDZu3Ijp06dj9+7dOjfQo0ePVpsExpfYfa4lzo/u7t27KFu2LIoUKYLbt2/D398fZmZm2Llzp8555+bNm0ibNq3ONE3//vsvChQogIULF+p0TzFkmi4Wfn5+WLx4sbpc8xkKDg5Wa+zatWuHHTt2ICAgAI6OjgbzsJZJXSqk/WWtU6cOXF1dMXDgQCxbtgzDhw+HsbEx2rZtq87DBnxM7IoUKQJ7e3ud2onU4LfffkPatGkxa9YsnDt3Dg8fPkTWrFmRNm1anXlKjh07hjRp0iBr1qw6T5x/BNWrV4eLiwtatGiBwMBAVKlSBYqioH379mqZQ4cOoWzZsrCwsEh1x0d7zjXNvDSnTp1CsWLFkCNHjgQTu86dO+PBgwcpFXay0iQdly9fxrhx4wAAy5cvR86cOeHr65tgYjd9+vQEB85J7TT9Ltq3b59gYqd5Sm6ID0BevXqFLl26wMjICC1atNBZd/z4cfz000/Imzevzg3T/fv31YE0unXrluoGEjJUO3bsgJmZGRwdHeHo6Iht27bFSZBOnjyJNGnSqIPdPH36FH369EHBggV1mmJ/yYMJzede+/ySO3du2Nvbq/N/VaxYEStWrFBfM2bMGDWxO3nypN77/KN5//49Nm7cCBcXFzg7O8PZ2RkbN26M04f1xIkTUBQF06dPB/CxOWL//v1RokQJBAcHq+UM7QGUtvDwcDRs2BC5cuXSGZX501F7Hz16hJo1a8LMzAyWlpZIly6d2v3AEDCpS8UmTZqErFmzYvHixWpzum3btsHIyAiKoqBhw4Y6fYN2796NbNmy6fSvM3QXL15E1qxZMX78ePUYHD9+HFZWVmjVqpV6wtKc5A4fPgxFUb564lRDMnv2bLi6umLZsmVqLcuSJUugKAqaN2+uU6t76NAhlChRAoqi6DQzM2TafeLc3NwQEBCgDqF95MiRBBO7oUOHQlEU9OrVK9U+LX7w4AGcnJxQq1YtXLt2DQCwYMGCBBO7X375BYqiYPbs2QZ9A/BfPpeQjR8/PsHEzsvLy+BHj3vy5Ik6EEqzZs101p05cwY5c+ZMMLEzMzNDmzZtmNilMM13M0OGDDA2NkaOHDmwadMmdf2nQ96nSZMGFSpUgJ+fH0xNTTFhwoQv/pvDhw+P874/ePAAGTNmRLly5bBixQocOnQIU6dOhY2NDTJnzoy5c+eqZceOHQsHBwd4e3ur52f6b9HR0cifPz8URcFPP/2UYILSqFEjWFlZoW7duqhQoQJMTU11au4M3evXr5E7d240btxYXfbpfLTa3Sg2bNiAefPmGUwNnQaTulTqzZs3aN26NRo2bKjOwXb48GFYWVmhUaNGGD9+PExMTNCyZUudGjvtJC812L17N8zMzNS+hHv37oWlpSUaNmyo8wQqJCREvZBpT93wI+jSpQsKFCigPnndu3cvrKys0LRpU7UWSvvkt2fPnlQxKAoAnUErbt68ifLly+PQoUM6+5tQYvfixQuMGjXKoPtDxUd72oozZ86gVKlSOHbsmE7iunDhwngTuzt37hjsPGuJpd1UZ/Xq1Thy5AgePXqkUyahxG7ZsmUoVqyYwR4fzffixYsXGDZsGExNTT+b2C1atEhd/uDBA7Rv3x6Ojo54/PjxN42bdGnex7Zt26Jr164wNzdH4cKFsXXrVrWMdp/y33//Hd7e3ihRooTOQ9/EPripXLkyMmTIoF6HNeeYKVOmwNnZWWckTeDjOdfV1RW5c+fGoUOH1OXDhg1DhgwZvrof34/kwYMH6N27N3r16gVnZ2eULFlSHQwM+N97eOPGDXTv3h3u7u4oXry4WmunXcaQ3b9/H+nSpUObNm0A6Db71t4/Qz83MalLJeKrKVizZg3OnTsH4GObaScnJ9SrVw8hISEICQlRpzRo3LixmtgZ8nxS8R2DQ4cOwdjYGOfOncO5c+dgaWmJRo0a6dyE/fXXX6hZs6ba38OQB4bRR4sWLVC0aFEAwP79+9XEX/sYTZ8+XaevjEZqOEYPHz5EtmzZ8NNPPyFfvnzqzYz2vmkndtpPj1PD/sfn7t27yJcvH4oUKaIzj6N2sx3txE675ik1D0+vOTdcuXIF7u7uanOxkiVLxnnQoZ3YaT/tNeSRUTXv7fv377Ft2zbUqVNH7UeoLaHELigoSH3ISN/W51oT/PPPPzA3N0ehQoV05qT89PymPVhGYs99s2fPhqOjI1asWBGnT2X37t1ha2urPkjV7mu6b98+KIqiM88hAJ2WIxRXfO9zREQEXr9+jXXr1sHFxQXFixePM6Kl5nWvXr3SGSjNUK9x8Y3yWrx4ceTJk0enP6b2MRg/fjxGjBhhcHOFamNSlwpo30Tt3r07zvDQ0dHR6Ny5Mzw9PXWmJ2jTpg0KFy4MRVGwZcuWbxZvctOeDDckJATFihVD/vz5YWlpiWbNmun0gbpz5w7q1q2LKlWqfPeTSn4t7ZOz9v8HDBgAd3d3zJo1C9bW1mjcuLFOLeaJEyeQP39+TJw4MVU2M7x+/ToKFy6MtGnTwtvbO8EO+EeOHEGpUqXg5OSkc6OaGm3fvh0ZMmSAq6sratSoAeB/zVO0PzsLFy6Ep6cncubMmaTzVH2vYmNj8ebNG5QpUwb+/v5YsGABpk+fjvTp08PDwyPOQFPjx4+HqakpmjZtqtMiwhBp3vdLly4hZ86cKFCgAPLnzw8TExMoiqIzeS/wv8TOy8vrqwfUoK+jfS5bs2YN/vnnnzjf1/Xr18dJ7MLCwjBr1iy1n70+g/sEBgbCxsZGTeZv3LihzvU5fPhwKIqiTlmgiVNTi1KpUiXkzJkToaGhHFAnEbTvBXft2oWNGzfiyZMn6rF78+YNVq1apSZ2mlYmYWFhmDlzJnbs2BGnSaKh0XyGNHPFan/2ly1bBlNTU/zyyy9xXnf8+HH4+Pige/fuBv1ZY1Jn4LQ/sA0aNED27NnRsmVLnadZMTExKF++PEqWLKl+Se/cuQNfX1/MmDHD4Jtcah+D3r17w9XVFcuXL1eXjR49GpaWlsiYMSOOHTumLn/w4AEGDBgAZ2fneGuhUhPtk3ODBg0wb948dUqH58+fI1u2bFAUBdWrV9cZ0fHRo0fo1asXsmbNqjPptqH7tDb2ypUr8PPzg6Io6Ny5s1ru08Tu4MGD8Pf315lsO7XavHkzcuXKBUVRdEY/+zSxmzlzJnx8fAyu78GX+PRGp0KFCjpN1Xbs2AFvb+94RxAePnw4HBwcUkWz7qdPnyJbtmwoU6aMOuDLhQsX1PkKP22KefbsWfUGUntUVEoZ1atXh5mZGYyMjHQGQNHYsGEDLCws4OXlhZEjR2LQoEE6A2h8Cc13ZteuXTAzM0Pbtm1x48YNKIqC3r17Izo6Gnfu3EH69OlRtmxZ9XXaN9RVqlSBl5eXnnv746pRowZMTU2hKAoyZcqEQYMGqS0ENImdq6ur2py2f//+er/P3xPN9fr69euoU6cOqlevjnbt2qn3uCEhIejYsSMURcHPP/+Mo0eP4tmzZ1i9ejUqVqyI9OnTG/z0GEzqUonatWsjXbp0+PPPP3VqWTT++OMPdRLPo0ePYvjw4XB1dcXu3bvVMoZYza79ZOr69eto1aoVsmfPjpw5c2L16tXqui5dusDGxgbZsmXDlClTMGLECNSqVQumpqY6Q/cb4pOp/6J9jEJCQuDt7Q13d3esWbNG7Ue3du1aZM6cGfnz58f69esRERGB48ePo0ePHqmqw/TnPuOXL1+Gn58frKysMGjQIHX5p4ldaptE+3PHZPPmzciZMydcXFx0RqP7NLFLzaNdat7/Z8+e4eTJkzh+/Djy5cuH27dvA/jfOWPv3r3w9vZG2rRp4yR2qaXJ2KlTp2BqahpnhOTg4GB0794diqLgjz/+0Fl34cKFH+IhyPdI+9w1YMAAZMyYEX/++SfWrFmDli1bwsjICL///rtOIrV582ZkyJABFhYWsLGxwciRI7/472pqSYCPDwIGDBgAY2NjWFhYoGrVqrh16xZiYmIQERGBwMBAKIoCf39/nRE1T548ibx586JBgwaIiIhIldfmpKL9Pvfv3x/p06fHmDFjsGfPHrU/Y4sWLdQHK2/evMH69euRMWNGKIoCGxsbjB49OqXCT1KarkaZMmXCTz/9BAcHB7i4uKgjXgYFBaF///5wdnaGoiiwsLCAnZ0dsmTJgvPnz6dw9F+PSV0qsH79ejg4OGDSpElx+oVp/r1w4QJKly6tfoHNzMwwatSoFIs5KWif5KtXr672iSpTpgwURUGWLFl0auCmTJmC8uXLw8rKCtbW1ihTpoxOsyBDTGr/i/bJvlOnTvD394e3tzcURdGp0Xz//j3Wr1+PHDlyQFEUmJmZwcLCAm5ubhg/fry6DUO+sGqOxd27dzFs2DA0aNAAnTp1wtatW9WL3YULF+Dn5wd7e/vPJnaphWa/Hj58iJkzZ6J79+6YMWOGOqAB8PH88tNPPyF9+vRYuXKlujwmJsagPw+Jodk/zbDrVlZWyJQpE+zs7LB3714AugNK7NmzB97e3kifPn2qmxoG+NjnVlEU/PPPPwA+1qpojtG9e/fU5vwdOnRIyTDpE8+fP8fAgQN1ppQICQlRmwe3bNlS5+HfpUuXsH//fp2uDIm9PjZq1AjFihXT6T+3bds2mJiYwMTERG3OrfHixQv06dMHlpb/1959h0Vxdn8DP7NL772ISFGKothBVLCL2HuMGEsssSKKomJX0EfU2DBREyv2TmxRoyAmsURj7wqiIgqKIIggsN/3D96d3y7FNBV2PZ/req4nzs4u98zOztznLufWhYuLC8aPH4+xY8eiYcOGMDU1VdmkQuXh8uXLCA4OxqxZs8TGx5ycHIwYMQJ2dnYYOHCg+KyTyWR48eIFdu/eLQ5/BVSzHqT4fJ41axb8/PzEZ9jhw4fRpEkTpXt2dnY2EhMTsWDBAsyZMwfR0dFKI5RUGQd1amD+/PnQ09MTh/eUNiZaJpMhPT0dS5YswbJly8SHMqCaP2JFoaGh0NPTw5YtW5CWlgYA2LVrF6pWrQo3Nzds3bpV3DcrKwt37tzBkydPlObQqfo5+Cs9e/aEtbU1Zs2ahT/++AMLFy5E48aNYWhoqHR+srOzsWbNGsyfPx9bt27FuXPnxNdU+RwpVs4rVaoEOzs7VK5cGaamptDX18dXX30lzvlQDOxmz55dnsX+qBTXiXJwcICFhQX09PQglUrh6OiIWbNmifsqBnaKPeDqTH7NvHjxAjVr1oSPjw/Cw8PRp08fsdFIXhFQ7OmIjY2Fo6MjXF1d1a4HMzExEVZWVujatat4r5XJZGJAsGnTJtjY2EAQBDHLHCtfo0aNgiAIqFatmnivl1/b6enpZQZ2iv7uvT83NxdRUVEwMTFB586dxYQbU6ZMgaenJ3r37g1BEDBgwACl92VkZGDHjh1o1qwZDAwMYGdnh9atWytlaWTvN3DgQNjZ2aFSpUpijgR5YJebm1tqYFecKj/jb926hWnTpiE4OBjTp08XtxcWFuLChQto3ry5UmCnrjioU2HyG/OkSZNgaGiIBw8elPmjvHPnTqnbVflHDABv3rxBy5Yt0ahRI7FiJT8vhw8fhr29PRwdHUtNwa/KmT7/iYsXL8LAwAAzZ84Ub/IFBQW4efOmuAbR9u3b37t2lKpfJ0DR8DlPT0/4+fkhPj4er169wtOnT9GrVy8YGhqic+fOYkX1+vXraNeuHQRBUPke7fdJSUlBtWrV0KJFC/z88894+PAh4uLiULt2bRgZGWH8+PHivjExMfD09ISOjg727t1bjqX++BRT9z9//hwtWrRQqgx8++23sLCwgKurqxjYKfbYxcfHKy1loGre93sfMGAAJBIJFi5cqJQNESjKZti4cWMsXLiQe1gqiK1bt4pri8oru4rfb3p6OhYvXgw9PT3079//P49KyMrKwvr162FkZIQOHTqIgWJWVhaSk5MxYsQICIKAr776qtT3X79+Hc+ePeM5mP/QunXrYGVlBUEQEBkZKW6X14vy8vIwcuRIODg4oF+/fmp1fvPz8zF9+nRxlJF8So1iY9sff/whBnbyZILqWAfkoE6FlJWVaP/+/RAEQUy1Xny+y2+//YbevXsrZb5UVcVbEnNzc+Hn5wcvLy9xm+JDKTo6GoIgwM3NTSl5yufkl19+gSAIYg+LYuXz2rVrqFu3LmxsbLBr1y6luRCqqvh8Jvlv5dSpUzAxMVFaZwkouqa++eYbaGlpYebMmeI5uHbtGrp27Souuq1O5Odk9+7dMDY2VhpWCRT1yLRu3RrGxsZYt26duH337t1o1KiRyk8m/ztSU1NhYmICFxcX+Pr6Kt17ZDIZli9fDktLyzIDO1Ulv38+evQIq1evRlBQEFatWqU0/9rPzw96enqYNm2amITg3LlzaNOmDaZNm6YW50EVlVVH2L17N+rWrQszMzNx9EXxwC4yMhKCIOD48eP/uRzZ2dliYNeuXTuloZiPHj3C8OHDIZFIlBaC5mvm71P8bhXvS3v37oWhoSFsbGxw4MABcbtiYDds2DDo6enh2LFjn67AH0Hxxod79+5h8uTJMDQ0RJs2bUrNYn3hwgUxIZri0GJ1wkGdiih+AStWvtPT09G6dWtoaGjg559/VtovJSUFY8eORa1atdSq5XTnzp3ifw8YMAC6urpKSzkotg66u7ujevXqqFOnjtIaPJ+LpKQk6OvrY+LEieI2xespNDQUgiDA0tISe/bsAaC6LVe7d+8udd0sAPjpp58gCAL2798PoOgYFc+Dl5cXPD09lSbrq3tFY9WqVRAEQZwgrrhOVGJiIiwtLdGlSxel9yiuYaTOHj9+jGHDhsHKygqVK1cW03/L7y2KgZ2Hh4fSUimqSnFIrr29PUxMTGBgYABBEKCvr4+ZM2cCKLoG2rRpA0EQYG5ujvr168Pa2homJibieWKfVvE6QvF71549e+Du7g4LCwtcvHgRgHJg9+LFC/z555//qQyKz43MzEylHjvF+8aTJ09KDezUde7yh/RXibu2b98Oc3Nz1KlTR2majTywy83NVZshiAkJCYiJiRGv44SEBDFh09ChQ8X9FM/ZmTNn0KlTJ7VsrAU4qFMJihfk/Pnz0aNHDzRv3hzjx48XH6CnTp1CjRo1oKGhgcWLF+PcuXOIjY3F8OHDoa2tjeXLl5dX8T+41atXQxAEnD59GgDEtMh+fn64e/eu0oPqypUrqFmzJiIjI2Fra4tOnTopLaqtTsoaMpWWlobu3bvDyMhIqUdGXjldt24dWrZsiY4dO8LY2Bg3btwAoJqB3fPnzxEREQFNTU2MGTNG6bVz585BEASMGzdO6djkDSTff/+9uGaSOgw3La60CtOOHTsgCAK+//57pe3yCuGECROgo6ODhISEz7LC9eDBA4wfPx4aGhoYMmSIuF0xsIuKioJEIkGDBg1KLGarip49ewZXV1e0atUKP//8M/Ly8nDkyBF06NABgiAgNDRU3Hf58uUYNGgQmjdvjsGDB6tVw6EqUfxtzpw5Ex07dkSNGjUwcuRIpYbMvXv3vjewk/s39z/5ezIzM8X7x98J7LS1tUs0HLHSKX7P4eHh6Nq1K+rXr4/JkyeL9SEA2LJlS6mBXfFAX1Wfc/IGWU9PTxgbG2P37t1KjZHjx4+HIAgYNmyY+B7Fc6cOI5LKwkFdBadYQejQoQOMjY3FRV8lEgkcHBzEDI6nT59Gly5dIAgCJBIJNDU1YW1trTbZC+Xi4uJgbm6OqVOnAij6gUZHR8PExARNmzYVJwknJiZi+vTpqFGjBmQyGVasWAENDQ21Wm9NTnEIxo0bN3Dq1CmlVteTJ0/Czs6uROKY58+fY8CAARg8eDAuXboEe3t7tG7dWqV7qNLS0hAeHg6pVFoisBsyZAh0dXURExMDQPmhNnPmTJiamqr8ItHvc+fOHWzevFlpW9OmTeHs7Cy2XCreI7755htUqlRJXONIXb0vYL137x6Cg4MhCAJGjhwpblcM7FavXl3mvOWK7MqVK0pD44CidcX09PQQHR2ttP327dvo378/BEHAypUrlV7Lz89X2QqiOunQoQPMzc3h5eWFFi1aQF9fHxoaGli2bJm4j7zHztbWFn/88ccH/fuJiYlwd3fH6tWr/1Zgl5ycjH79+sHMzKzUpZjY/yleFzQzM0O9evXg5eUFqVQKe3t7LFy4UNxn69atYi+64lBMVfO+OmtycjKcnZ3h5OSEXbt2ifeghw8fioGdYsKmz+EexUGdipgzZw7MzMwQHR2NvLw85OXl4eLFi6hRowYMDAzEeS+5ubmIi4tDVFQUdu7cqZSaXJ0u6GHDhsHU1BSpqakAirJnbdu2DQ4ODhAEAfb29qhcuTIEQUB4eDiAogWmBUFAREREeRb9g1OskAYGBsLW1lYM7L28vMQ5FAcOHECVKlWgo6ODoUOHYu7cuejTpw80NDSwceNGAMBXX32FypUrq/wDtqzA7uzZs/Dx8YGenh42b94sZrw8e/Ys/Pz80KhRI6Snp5dXsT+q/Px8jBw5EoIgiPcLmUyG/fv3w87ODq6urjh//rzYivnHH3+gUaNGaNOmjVoPuZT/fh48eICQkBC0adMGX375JRYtWiQGbg8ePCg1sFOciK9qrly5Ig5VVkyStGHDBgiCgHv37gFQPsbLly/DxcUFjRs3xuvXr9WikVBdzJ8/H0ZGRti2bZuYwObo0aNiwqeoqChx3/3798PZ2RlSqVR8hn4IOTk5sLW1ReXKlbFx40bxXvK+wO7p06di5m721+bOnQsTExNER0cjJycHMpkMV65cgaurK8zMzLBkyRJx3x07dsDQ0BCOjo5ITEwstzL/W4pD2ovfa+T3pZSUFNjb25cZ2GloaKBv376frtDljIO6Cqr4Bdy+fXs0bNhQfPjKX09LS0ONGjWUJuv/nc9TBaWlV5b/kM+dOwdLS0tMmDBBab/U1FRMmjQJffv2xeDBg5V6JTZt2gRdXV2l+XjqpHfv3rC2tkZYWBgOHTqEkJAQVK1aFdbW1uJcufj4eAwcOBBmZmZi8KvYkztkyBDY2dmpfFAHFP02IiIiIJVKMWrUKHH7yZMn0bZtWwiCAFdXV3h7e8PR0RFmZmZqkUzofW7fvo1BgwZBIpGIPfy5ubnYvHkzXFxcoK+vjzZt2qB79+6oXr06TE1N1TqtuPy+ePPmTVhZWaFKlSqoV68eKlWqBEEQ4OXlJS598uDBA4wbN05t1mHLzMzEmDFjoKWlhQkTJog9dvLESopJgxTXJJw5cyYEQRATpLCKoU+fPvDw8CjRAHPx4kW0atUKenp6iI2NFbfv3LlTbMz7EOTP5jdv3sDDwwPW1tZlBnZdunRR+97/j6Vz586oX7++eF7l5z0pKQlVq1ZFtWrVlBbR3rRpE1atWlUuZf0vWrVqhfbt2yMrK0spG/HLly/FfeTH/vTpUzGw27lzp1Jg980338DY2PizaTjgoK4CUszaI28trV69Ovz8/AD834Usv3BjY2NL9ECpYhBXlh9//BH37t1TOqZ3796hXbt28PDwEH/kxVvNFf994cIFtGzZEtWqVVPLykh8fDxMTEywcOFCMfDPzc3FmTNn4O3tDVtbW/FG/+bNG6Snp+P+/ftKrXdnz56Fu7s7/P39Va5npqxeaPkcO6lUihEjRojbk5OTERUVhZYtW6JVq1YYMWKESg6fK07xN6J4ThR/C/fu3UP//v0hkUiwZs0a8fWrV69i2LBhcHd3h6enJ7744ovPIunFq1ev0LBhQzRp0gRnzpwBUJR8atasWTA2NoaHh4cY8CQkJGDChAkQBAEhISHlWewPIjMzUzweeQNZfn4+GjRoAAcHBxw/frzE0NSQkBBYWVkprfPJPq3iz/eCggL4+/vD3d1daZtcTEwMJBIJ5s2bV+rn/dNRPIpJphT/zt8J7DZu3AhBEPDFF1+oVT3lY5PJZMjOzkaDBg3g7e2NgoKCEt/B77//DkEQlIZhFv8MVTBq1CiYm5vj0KFD4jDe1NRUWFpaYvr06Ur3Hvk1l5ycDDs7O7i7u2P79u3iNf3o0SNxRM7ngIO6Cqxr167o1q0bcnNzMWHCBGhqaoqt5ootpxkZGbC1tcXAgQMBqM4PtyyKD5hNmzZBEARxbZXExESxhe/ChQvQ0dHB3Llzxf2Lp3SWyWQIDg6Gl5cXLC0tlVqwVJn8Ji4/V/KEF7///jsAKK3Zd/r0aVSqVAktW7Ys8/N27dqFtm3bqkzPjGKrm7wR5OnTpzh69ChOnDihNBH62bNnYmCnOHQOgFhZV+VhdHLyQFx+3QNQ6r0vK7CT99jJPX/+HDk5OUpZQNWR/BzduXMHxsbGJdYjzMnJwYoVK6Crq4vu3buLv7nExESEhYWJCYVUnWJgFxwcDKBoaGaVKlVQs2ZN7NmzR/yNXbhwAT4+PmjevLnKNfyoC8UgSt6AV1BQgKCgIEilUuzbt098XfE3X7VqVbRv317p/vBPZWRkKP379u3bmDt3rtLIjuKBnY2NDTZs2CDekzMyMrBlyxa1zT74oSh+z4pz3MeOHQstLS3x/qM4tzczMxP29vbo0aNHic9QFampqfD29kb//v3FbRkZGcjOzsbXX38NHR0dzJ8/v9TAbv/+/dDU1ESTJk2wceNGtZpy9HdxUFcByG+wisMI165dC2tra2zevBnZ2dmIi4uDra0tatWqhfv37wP4vwr9gwcPULlyZUyePFnp81SR4o/w4cOHAIpax4cOHQpHR0eYmppi6NChiI2NRX5+Pnr16gUvLy+xR7O45ORkBAcHo3PnzmrT66B4jqKionD//n2cPn0agiBg06ZNJfbLzc1F//79YWZmVmra9YULF8Ld3R0eHh64evXqxz+A/6hjx47o0qWL+DsAitaUs7Ozg0QigSAI8PPzE9flA5QDu9GjR4u/Efk5UuXfDAAMHDgQQ4cOVRqakp6ejkqVKqFJkybiNsXKwd27d9GrVy9IJBJs2bJF3K7q5+KvyCs68rlEf/75Z5nrfL558wa9e/eGqakpHjx4IH5GaUPDVVnxHrusrCzExsbC2dkZWlpaaNSoEbp27SrO21GFhh91VDz74YABA8SEWElJSbC0tETjxo1x7tw5pefE7du3UblyZaVlbf6puLg4DBgwQGl+UkREBARBwLRp05Qa2uSV7NTUVNjb28PNzQ3r168X0++r+z3mv1K8v4SHh2PGjBlidssLFy7A3t4e1atXLxFk379/H/b29uL3rIrnuaCgAG3atEHlypUBFDWiNWzYEKdPn0ZhYSFGjhwJqVSqFNgpNtBVrVoVgiDA09Pzsxziy0FdOXr27FmpK9rv2LEDq1evxoABA5QqYfPnz4e5uTnc3d1x7tw55OTk4MGDB5g6dSp0dXXx008/ffJj+Fi6dOmi9PDIy8vDo0ePMHHiRLi5uYkT/L/44gtoa2uLc8ZKa5l5+/at2rQqK14nXbt2ReXKlXHs2DHcuHEDLi4uqF+/Pi5fvizuK68ELFy4ENra2qUGv1lZWTh48KDKzKP7+uuvIQgCBg0aJAZ29erVQ9u2bbF27Vrs3bsXlStXhqurK7777jvxffLATkdHR+zVVhcdO3aEubk5Jk6cKAZ26enpmDNnDgwMDNC+fXtxX8V7yuHDhyEIAnR0dJTOlbq7evUqrK2tERMTgzt37sDCwgIBAQFKPZvy8xQXFwdBEEqsAapuMjMzxTWeQkND8e7dO6SmpmLw4MFo0KABateujcDAQF62oJwoPts6deoEe3t79O/fX2nYeExMDExMTODl5SVmL7116xZmzpwJXV1d8Tn5T23ZsgV2dnZo2LAhwsLClJ5DM2bMgCAImDJlilJgJ++ZCwoKgiAIMDMzw7Zt2/7V3/+cKH7PnTt3RqVKlRAYGCg2yObn52Pp0qUwMDBA9erVcebMGbx+/RoPHjxAWFgYdHV1xbVYVY28F1mezbxWrVowNDREy5Ytle47ioHds2fPxO07duxAYGAgUlJSlBp9Pycc1JWTrVu3wsXFBXFxcUo3yKVLl4qVrLFjxwJQXlNj4cKFcHBwgEQiQdWqVeHo6AhdXd0SQ4dUnbe3N9q0aVPqa7dv38aqVavg5OQEDw8PCIKAWrVqfdAsXhWR4s3+6dOnCAgIwJo1a8TWz2XLlkEQBHTv3l1pOYOUlBT07NkTderUKTG2XFWHJ0yfPh2CIODrr79GbGwsGjVqhGPHjomvJyQkoH79+qhWrVqJwG7q1KkwNzdXehioMnkQN3DgQFhYWGDChAlIS0sTX1u0aBG0tbWVAjvFBWu9vb1Rt25dmJmZiVnz1JH8Ws/JyUFgYCB8fHzE4crTpk2DIAhYsGBBibliUVFR0NPTU4le7P9KMbAbN26cuD03NxfZ2dlqMUxZ1Y0ePRpWVlbYunUrMjMzASiP9jl8+LCYAdnExASWlpbikLV/Y8+ePdDR0cGwYcNw9uxZcbtivSUsLKzUwA4AxowZg9GjR8PX15eHXP4DI0aMgJmZGbZv3y5mZJY30ubm5mLFihWoVq2aOD3FwcFBZeuC48aNKzGSavTo0dDW1oapqSnOnz8PQLm+MnLkSEgkEowZMwZnz57FyZMn0a5dO/j5+an0kkz/FQd15eTixYswNzdHw4YNER8fL94gr127hq+++goGBgZo3ry5uL9iYHf+/HnMmzcPAQEBGDduHPbu3Su+poqV9NIWgh4yZAjc3NyU5vUUP7aHDx8iOjpazGT4vt46dTJw4EAEBATAzMysRKu5vNXU3d0dK1aswIYNG/DNN99AQ0MDK1asKKcSfxj37t3Dvn37xIWy5RVxf39/1K5dW9xPfg0lJiaibt26JQK758+fq02Shx9//BH16tUThwYGBgbCwsICISEhfxnYAcBPP/2EOnXq4Ndff1X7RhGgaNJ8TEwM6tatix9//FGsJOXk5Ii9/mFhYWIW1Pj4eLRu3fqzaDSSKz4Us/g6dqz8vHjxAjVq1EC/fv3EgK40KSkpiIyMxLBhwzB79myldcr+yfPx0aNHqFOnDvr37y9OhwBKn4Msvx9PmDBBvB/J52AqzvNjf+3hw4eoXr06hg4dKtaBik8ZyM/Px927dzF79mz07NkT48aNU+qhU5V6kHxpFXlGT/mSXfJg1cDAAF5eXmJDpOK1N23aNGhoaEBHRwf6+vqwsLBQ+wzWf4WDunJ0+fJl2NnZoV69ejh16pRYwbh16xYCAwMhCIJSKva/an1QlR+xorIm8m7duhWampq4ePGiuK14EhRFDRo0QLNmzT5KGT+14semOL7+9evXcHNzg5mZGRwdHcWeN8Wgf9WqVahXrx4EQYAgCHB0dFRau0YVx9nv3LkT9evXh56eHtq2bSsONZanmBcEQakVWX7OEhMTUa9ePbi7u2Px4sXlUvaPRb6eWFBQkFKv4/sCOwMDA/j5+eHUqVPYuXMnOnTogKZNm763gqiq5HPjFHvoXF1doa+vj6pVq4rDjeXXSkpKCgYPHgxBEGBgYIBq1arB2toalpaWn0UvnaLMzExMmjQJgiBg+vTpKnnPUEfytVZ//PFHAMrP/OLfUWn1gX9aR7h8+TJ0dHTE+cmKfyMrKwvr1q3D8uXLce7cObx69UocadSgQQP06NEDtWvXhrW1dZlz3lnp/vzzT2hqaooNscW/57/6PapSXfDdu3c4ceIELl26JP4bAE6cOIHz588jIiIChoaGaNiwYamJzY4ePYqoqCjMmzdPad7z54qDunIir0hcunQJjo6O8PLywsmTJ8Ug586dO+jbty8EQcD48eOV3le8xUYddO3aFb6+vggJCUFMTAwiIiJgamqK+Pj4975P/uNevXo1DAwMxOFUqi4vLw8JCQlKw+S2bt0KoGj9tdatW0MQBAwYMEC8ZhSD/ufPn+P69eu4dOmS0o1OFa+Z6OhoaGpqYuDAgWIwp3hTl/dO9ujRA3fv3hW3KwZ2Tk5OqFevntoML1y/fr14b3j69CkA5QaSL774okRg9+rVK0RHR8PFxQWCIEAqlcLa2lptMsIqio2NRWhoKNq3b4/Zs2eLw75+++03uLq6QhAETJ06tdSEJ5s3b8bo0aPRs2dPzJw587OtkGZkZGD69Olqk2BKHTx8+BAGBgYYPHiw0oLxivbu3avUGPpfHD9+HIIg4PDhw+K2xMRELFu2TLyPCIIAQ0NDDB8+HDk5Odi9ezf8/Pzg6uqKJk2afPY9J//GjRs3oK+vj7CwMAClP7dPnTol1o/+S0bT8lS8zPfu3UODBg2U5om+e/cOc+fOhaGhIby8vMTATrEhm/0fDurKgWJF4urVq1i+fDkEQUDbtm0RGxsrVs5u374tBnaK8xtUMU1t8ZtSenq6mLzk0aNH6NatG/z8/ODo6AhBEGBtbS0OI5wyZQp++OEHxMfH482bNyUyPgHA9u3boa2tjbi4uE9yPB9TYWEhDh8+jCZNmojDVnx9fWFtbS1WsF68eIHmzZtDT08PYWFh4jWhuJRBcap404+Pj4eVlRVGjBiBpKQkcbtMJlP6HcmHiw0cOFCpEi7fJykpCQkJCZ+u4B/Rhg0bIJFIlAI6OcUepdJ67PLy8pCZmYkNGzZg165dSkOq1MWmTZtgaWkJBwcH2Nvbi2tiyeceXrx4EVWqVEGVKlWwd+9e8d6kivfVj00VG4HUXYcOHVCpUiX8+uuvJe7pCQkJaNOmDWbMmPFB5j/Ks1c2bNgQMTExOHToEHx8fCAIAry8vDBnzhxs2LABHTt2hCAIiIyMBFD0fMrOzi71Wc3+2rt379C9e3fo6enh3LlzAJTrjbdu3ULLli0RFRWl8r9RxeOKj4+HqakpPDw8lBqj3759i/Dw8BKBHc/xLYmDuk9M8SbcrVs3VK1aFU2bNhWTn3h5eSEuLq5EYKehoYExY8aUV7H/E/mxvHz5EmFhYWjWrBmqVKmCatWqYcyYMUqBWHp6Oi5cuIBjx47ByckJgiCIk4F1dHRgbm4Oe3t7pcxGKSkp6NOnDywtLZUq/qpG8QF448YNtGjRAkZGRqhduzZsbW2xb98+5OXliddQWloafH19YWZmhmnTppW6GKyqkh/j5MmT4eTkJD7YFF8DlI91/Pjx7w3s1MH169chCALc3NxKZPdavXo1BEHAb7/9Jm5TDOzUZR7h+8h7MIODg8XhPBMmTICGhoZSL+65c+dgbW2N6tWr4+DBgxzYsQpPfm1eunQJzs7OqFmzJuLi4sTG0cTERMyaNQsWFhaIiYn5YH/3/PnzsLCwEHvl9PT0MGbMGKVRD48fP4arqyvq168PgBsDPoTdu3fDzs4O1apVU5pa8PjxY8yZMweWlpYf9Hv+lJ4/f67UIHnv3j0cPXoUQFHvsIuLC9zd3csM7Bo3bqw2Gc0/NA7qyklwcDAMDQ2xadMmvH79GikpKdi5cydsbGxQv359pcDuzp076N27NwRB+MvhiBWN/Ob+7NkzuLm5wdnZGa1atUJgYCB8fX3FB8WMGTOU3pebm4uuXbuiU6dOSEtLw61bt7B3715MnDixROr1N2/eYOjQoWIqf1W0detWtGvXTilr5a1bt6CnpwdNTU1MnDhR6SYmD1RSU1Ph6+sLU1NTzJgxQ60qpbm5uahZsyY6dOjw3v0Uj3nixIkQBAGDBw9Wy0xrr169wvjx46GtrY3Q0FBxCNbatWuhpaWFSZMmITMzU6lSJQ/sQkNDxR47dVRWD+apU6dQtWpVnD17FlevXkViYiKAosqqra2tGNiVtrwMYxXNu3fvsH//fri4uMDMzAzt27fH2LFj4ePjAy0tLSxYsOCD/82HDx9i1apV2Lhxo1KAIb/PvHv3Dp6envD29v7gf/tzo3j/WblyJezt7aGhoYGBAwdi5MiRaNGiBaRS6Uf5nj82mUyGjIwMTJgwAX379sXTp0+RkJAAIyMjBAcHIy8vD/n5+Th69ChcXFzg5uZWIrCbP38+BEFAq1at+F5dCg7qyknjxo3RrFkzpTlTQNGcD2trazRq1Ehpjt2NGzdw5MiR8ijqf/bq1SvUqVMH3t7e+OWXX5Rei4mJEZN6KM4dBIA5c+bA0NCwzKxzhYWFajO/UJ6iXzGTaUxMDGrUqIEaNWrAyMgIe/bsUZo3pxjYtWjRAnp6ehg/frza3OiysrLg7u6OTp06lRhuWRp5so/w8HAIgoCRI0eq5fAMxeyE06ZNw/fffy/+t2LCE8Xz1b9/fzHphar/Vkrzvh7M2bNnQxAEWFlZifN/Vq5cicLCQpw/fx7W1taoXbs29u7dqza/HaZ6/kmDXH5+Pm7fvo0+ffrA2dkZ5ubm8Pf3x7p168R9PvbvXPHe+ssvv6BKlSoIDg5Wei6zf0fxuzt06BCGDBkCGxsbWFlZoUWLFmKinOL7qooFCxaIgZmhoSECAgJw/fp1pcyeZQV2OTk5WLRokVo22n4IHNR9AsVv1unp6XB2dkZAQACAklktf/jhBwiCgPbt2+OXX34p8X5V+xGvWbMGNjY22LdvX6lB2B9//AF/f38IgoCFCxeK26Ojo6GhoSFOmlWnXiig5Pd46tQp8b/lPQ0JCQk4f/482rRpA2NjY+zYsUOpsi4/n6mpqahTp46Y7l9dNGvWDO7u7uK5el9Gt4MHDyIkJARA0bpJ169f/3QF/cTk64lpaGhAEARMnjwZr1+/LrGf4m9m2LBhShPQ1UlZPZg//vgjpFIpBg4ciJiYGPzwww+oX78+pFIpvv32WwBFQzE1NTXRqFEjTt/PyoXiPX3r1q3/KLnIq1evkJqa+t7lfz40xfvKn3/+CX9/f1SuXJmzD/6F99Vh/ip76ZMnT5CWliauWVfaPhVV165dER0drbRt+PDh0NLSgo2NjVJjtvy3UDywU5c58R8bB3WfkOJFPWrUKOjp6YlzfwoKCsQf9f3798VEIc7Oznjy5Em5lPdD+eqrr+Do6Cj+u7RhTmfPnoWTkxNMTEzEDJYPHz6Ejo4O1qxZ82kL/AmlpaWJlUu5wMBAtGrVCjdu3BC3/fnnn2jVqlWJwO7Vq1f49ddfAaBEr68qk18bERERYqZCubIeZJ07d4afn98nKV9FkJGRgWnTpkFTUxNjxowp8/tXpzmF7/O+Hkx5khSgKDNm9erVoaGhIVae//zzT7UNeFnFpljR7927N8zNzdG5c2elIK00Zd0HP0UvmfxvLFu2DC1btlTbLLofkuL3vHLlSkyaNAl79uxRmuv7d747VRsm/uDBA3h7e0MQBOzevVvc7u3tDXNzcwiCgC5duig1whbvsatevTqsrKzEofOsbBzUfSIzZ86Erq6umL3wyJEjsLKyQv369fHo0SMA/3ch//nnn/Dx8cH+/fuxYcOGcivzh5Cfn4/27dvD3d0d7969e29L1aZNmyAIAtauXQugKGOhpqYmduzY8amK+0kVFhbiq6++giAImDt3rrg9NDQUZmZm+OKLL8RshjKZDJcuXRIDu+3bt+Pq1atYsGABJBKJGNjJ91UXSUlJqFKlCkxMTMTrAih6QCpWak6dOoU6deogIiJCZdM7/xvy+QmCIGDixImffU9T8R7MSZMmiT2YitdEZGQkBEHAwYMHy6uojCnp1q0bbG1tsW7duhIJvyra/ezly5do1KgRLC0tERAQgFu3bpV3kVSGPFOojo4OBEFAs2bNcOjQIfH1ivZdfwgXLlwQj1u+5mF2djZevnyJuXPnioGdvGFA8RzIs4HXrVu3xNB6VhIHdZ/IpUuXoKOjg4iICHHbrFmzYGpqCk9PT1y5cgXv3r1DUlISpk6dCnd3dzx+/FjcV5V/6IGBgTAxMRGHDRQP7OTH9vz5cxgZGaF///5iz6U8g526unz5Mtq2bQsTExOlZDHh4eEwNTVF7969lQK7y5cvo127dhAEAVWqVIGWlhamT59eXsX/JH777TcYGBjAxsYGS5cuLfH6xYsX0b59ezg7O3+WLXmKPVQTJkwoc/2qz0VZPZiK99Dw8HCYmJjgzJkz5VVMxkRr166FlZUVNm/eLCbEkjdavXz5skL2tt+4cQMHDx78LLLq/heK9Z2YmBg4OTlh48aNePHiBbZv3w43NzfUqlVLqRdLlet7ihSP48KFC+jQoQMEQcD27duV9pPPe+7SpYtSwruHDx+KyeM+9+fa38VB3SdQWFiI/Px8DBo0CFWqVFG6aCMiImBnZwctLS14eHigatWqJeaWqSr5D3rjxo0QBAFjx44VXytr6EjlypXRt2/fEttVZez4PyE/puvXr6Nly5YwMTHBtGnTxNfnzp1bamCXlpaGiIgIjBgxQlyQXPHz1NHx48dhbGwMQRDQvXt37Ny5E2fOnMG0adPg4+MDc3Pzz3r4j2JgN2nSpM++x654D6bifMOrV6/C29sb3t7eXCFlFcKMGTNga2sr9kQkJydj2bJl8PLygoWFBQYNGqT2DZzqbsOGDZg8eTJ69eqlFKAcOXIEdevWhYeHh9oHdufPnxcDO8VjBSD22HXt2hV//PEH7t69iy5duqBFixalzhdnpeOg7j8qXpEuPq9FsZVm37590NTUxOrVq5X2OXPmDGbMmAE/Pz8EBgYqzb1Thx92cnIy3NzcoKurix9++EHcXrzH7uLFizAxMUFUVNSnLuJHV9qwU8UhhP8ksJNTTLCjzgGd3K1bt9CpUyeYmZmJS2HI55/w8J+iwG7SpElilsvPnWKgGxoaipycHNy8eRMdO3aEoaGhWifSYRVXab1uCxYsgKamJqKiorBp0yZ4eHjA3t4efn5+GDx4sJgMiakmeRp+FxcXhIeHA1CuKx45cgR16tSBh4eHUtIQVSev9yjWVd4X2IWHh0NLSwsWFhaoWrUq9PX1VXqpqvLAQd0HkJaWhuXLlytt++6770ptBe7evTucnJxKbXn4q+xHquzcuXMwMDBApUqVSqwzBxQNvQwLC4ONjY1SFkh1IP9eU1JSMGrUKBw4cKDULGFXr15Fy5YtYWxsXGpg9+WXX5YI7D43WVlZSElJwc8//4wjR44gOTmZFyFVkJGRgenTp4tzdz93ioHd119/jYCAAK4osApBPgQPKBpa1rVrV7GxKiAgAJs2bRL39ff3h6enJw9BU1HydXcFQUCdOnXE+p9igH/kyBE0aNAALi4uSiNwVN3t27cxZswYpSUIFAO7nTt3Ku2/fv16DBw4EP369ePG2n+Bg7r/SDHZxZw5cwAUZTYSBAGVKlXC3LlzceHCBXH//fv3w9DQEFFRUWJCB3VZa+2v/PzzzzA0NIQgCPjqq69w7tw5pKSk4OTJkwgKCoKGhgYWLVpU3sX8KN68eQNPT09xvSxTU1N88803WLt2LXJycsRWu+vXr4trtyhmfIyIiICenh4CAgKUMvkxVpy630f+qczMTEyePBmCIEBDQ4MDOlbu9u7dK86BffXqlbj9+PHjOH36tNIacAkJCfD19UVgYKBarrupbsq6/+bl5aFnz54QBAHDhw8X1xRV/E4PHToEJyenEun/VdmGDRsgCAKGDh0qZnsHipayKiuwAz6frM0fGgd1H4Bisgt5UPLHH38gMDAQ5ubmMDY2RmhoKC5evAigaO0txdTr6jDE8u+6cuUKmjRpAi0tLbFVUiKRoGrVqli2bJm4n7pVTDMzMzFu3DgYGxvDzs4OgwYNgq2trZjwpFu3bjh69ChevnyJp0+fonXr1rCxscGUKVPEzwgLC8OqVavK8SgYU02vXr1CREQEt/yyCiErKwv/+9//oKGhgfHjxyutPabo4cOHmDNnDoyNjbF58+ZPXEr2TykGIqmpqUhISEBOTo5Yn8nNzUWnTp1gaGiI0aNHl9pj9/Dhw09b6E9gzZo1EAQBgwYNKjOwKz4Uk/07HNT9R/KATD4nysDAQCnD5bFjxzB16lQYGhrCxsYGQ4cOxZw5cyAIAn788cfyKna5evHiBS5evIilS5diwYIFOHDggNJiq+oW0MllZGQgLCwMEokEERERuHbtGk6dOoUvv/xSTJBjaWmJyZMnY+LEiahXrx5sbW2VhmLKfU4NAYx9COp6X2EVW1nL+Lx58wbz58+HRCJBSEhIicBu/fr16NatG/T19fG///3vUxSV/QeK3/OoUaPg4eEBfX19VK9eHZGRkeIc3rICu+K9sKr2jC8sLHzvPXbVqlVlBnZdunSBIAjYv3//pyiqWuOg7h8o60cm3/7w4UM0btwY+vr6mDlzptI+9+7dw8yZM+Hm5ib2UHXu3BnZ2dkq9+P9mNT9XGRkZGD8+PFi8ga5nJwcbNu2DSNGjICFhYXYiyf/37lz58qx1Iwxxv4L+fw5xWdc8cBOPhQzKSkJ3bt3h5eXF9atWyfuzw0TFV/nzp1hYWGBAQMGYNy4cWjevDkEQUD79u3F57g8sDM1NVUaiqmKnj59qvTvxMTEMjO1ygO7r7/+WmnR9d9//x1ffPEFbty48TGL+lngoO5vkt+Is7Ozy8xwmZGRAVtbW5iYmMDY2LhEYFdQUIA3b94gPDwcLVu2hEQiwYkTJz5J+VnFIV8gWRAEjBs3rsTk95SUFMTExOCbb76Bk5NTiSQ8jDHGVMfw4cNhY2Mjrj2rGNhlZ2eLo3emTZsmBnapqalKi5BzQFfxbdq0CSYmJvjhhx+Uet5mzZoFqVSKTp064c6dOwCK5tgFBARAEATExsaWU4n/m127dqFmzZrYt28fgKLeRm9vb1hZWSnlklC0dOlSCIKAUaNGKSVPKV6vZv8OB3X/QHZ2NlxcXPDNN9+IFXH5zTkhIQFVqlRBy5YtcejQITE9/axZs8T3K/7Ir1+/Dh8fH7Rr146z932Gii8YXXzBWTnFBej5oc4YY6qloKAAu3fvhpOTE+rUqVNqYJeQkAAXFxdIJBJMnDhRKXlK8X1ZxTVr1iwYGxvj0aNHAJTnys2YMQOCICgt65Sbm4uffvrpk5fzQ7h48aI4kqhJkyaIiYkBUJTp3MPDA+7u7vjjjz+U3lNQUIDHjx/D1dUV2traCAwMLDUTOPv3OKj7B7KysjBs2DBoaWlhwoQJ4ljohIQE2Nvbw9fXV2x5uHnzZqmBneJ6HWFhYbCwsFBqjWOfj+KBnWKPXfF5GPxQZ4yxiq+0e3Vubi4OHjwIBwcHeHp6ipV+xYa6AQMGoGbNmhAEAXFxcZ+svOzfUfye5f89duxY6Orq4vr165DJZCXmmdWtWxc+Pj6QyWQlnvGq2GjboEED6OnpwdHREfXq1cPhw4cBFAV8rq6upQZ2ANC+fXu0bt0aZmZmSE5O/tTFVmsSYn+bgYEBLVy4kIKCgmjx4sW0YMECunnzJjVr1oycnJxo7dq15ObmRkRE1atXp+XLl1O9evUoKiqKZsyYQUREWlpa4ufVqVOH3r17R/fv3y+X42Hly8jIiKZPn04hISG0ePFimjNnDuXk5BARkVQqVdpXEITyKCJjjLG/qbCwULxX5+bm0ps3b+jt27ekra1NrVu3ppUrV1JmZiZ16tSJkpKSSCIpqoIlJibSnTt3aNq0aXTr1i1q1qxZeR4G+wuK3/Pz58/pzZs3RETUq1cvysvLo61bt5IgCCSRSAhFnSdERGRvb0+pqamUl5dX4hkvvxZUQWFhIRERDRkyhLy9valz58706NEjmjRpEv38889Ur1492rZtG8lkMvrqq6/ozJkz4nvj4+Pp+fPntGLFCnr8+DFVqlSpvA5DPZV3VKmK5HOiJBIJNDQ04Ofnp5TNR3HtuRs3bsDX17dEsou0tDT4+PjAxsamxERT9nnJzMxEaGgoBEHAyJEjeX0WxhhTMYo9L1OmTEGbNm1Qo0YN+Pv749ixYwCKemMOHjwIJycnuLq64qeffsKJEycwc+ZMVKpUCb/++qv4GarYc/M5UPyex4wZg44dO+KHH35Afn4+0tPTMWDAAAiCgCVLlii9LyUlBc2aNUNAQADevn2rFt/vrVu3UKlSJXz//fc4ceIETE1NUatWLRw5cgRAUY+dh4cHbG1tMXv2bHz77bdo2bIlXF1dud77kXBQ9y9lZmZi6tSp0NbWxqBBg5CdnV1iH3lgd+XKFezdu1fptby8PAQFBZU5mZR9XjIzMzFy5EiltfoYY4yplg4dOsDU1BQtW7ZEu3btYG1tDU1NTYSHh+P169coLCzEb7/9hkaNGkEQBGhqakIqlSothcQqJsUhlx06dEDlypUxatQoJCYmitsvXrwIf39/CIKAoKAgxMXFIS4uDuPHj4eGhoZSNlNVkp2dLQaiisNKFy9eDBMTEzx9+hSHDh2Cubk5PD09xcAuJSUFbdq0gb6+PrS1teHk5IQrV66U23GoOw7q/oOMjAxMnDgRgiBg4sSJ7w3s5NShdYZ9HIrzLRljjKmWxYsXw9TUFFu3bhXnSF+4cAGDBg2ChoaGuN6cTCZDXl4e1q5dix9//BGHDh0SP4PrCBVLaesMzp49GyYmJtiyZYuY5Exxv0uXLmHEiBHQ0tKCIAjQ0dGBhYUFFixYIO6jSvPk169fj/r162PevHli9k65K1euoG7dumLuiK1bt8LCwgKenp44cOCAuN/vv/+O8+fPcw/dRyYA/3+wL/tXXr9+TXPnzqXFixdTSEgIzZ49m/T09Mq7WIwxxhj7iAAozXceMGAAnT59ms6cOUPW1tbi9uTkZJoyZQrt2LGD4uLiyMfHp9TPk8lkKjW3Sp0dOnSIatWqRVWqVFH6ngsLC6l9+/aUm5tLx44dI21tbfE9ivu9ffuW7t+/T7/88gtZW1uTo6MjNW7cmIhU63u+ceMGeXp6EgByd3enp0+fUmhoKLVs2ZIaNWpERETjx4+nTZs2UVJSEunr69P27dtpzJgxZGdnR3PnzqVOnTqV81F8PlTjqqrA3pfsgjHGGGPqRzFZxsWLF4mIKD09nSQSiRjQFRQUEBGRnZ0dDR06lKRSKa1fv54KCwuptPZ0Vanoq7vbt29Tv379yM/Pj7KyssTtACgzM5Pu3btHtra2pK2tTfn5+aV+hkwmo1q1atG4ceOob9++KhnQERVduxMnTiQDAwOyt7en0aNH03fffUdDhgyhoUOHUkpKCoWEhJCTkxOFhYUREVGfPn1o5cqVlJqaSqNHj6Zjx46V81F8PjTKuwDqQB7YSSQSioyMpKysLFq2bBlpaPDpZYwxxtSNPHuhv78/6evr06JFi6hVq1Z05MgR+v7772nEiBGkoaFB+fn5pKmpSb6+vuTk5ESPHz8miUTCGY0rMHd3dwoNDSVjY2MyNDRUes3MzIycnZ3p8uXLRESkqalJhYWFJJVKxe/0+PHjdP/+ffr6669JS0tL6btWpYCOiMjExISmTJlCRESRkZHUunVr2rVrF50/f54WLVpEp0+fptq1a5OJiQndvXuXHj16RFWqVKHevXvTu3fvaNasWVStWrVyPorPh2pdXRWYkZERTZ06lUaMGEFubm4c0DHGGGNqRp7OnYjo1KlTdPfuXerevTs5OTlRhw4dyN7enpYsWUL79+8noqJKP1HRsgX5+flUtWrV8ig2+xsSExMpNzeXiIimTJlCI0eOJCKiiRMnUlJSEgmCQDKZjL788ku6e/cujR49moiKAnx5z+uTJ08oKiqKzp8/T/n5+WoRvBsbG1NYWBiNGzeOJk2aRIcPH6ZRo0bRnTt3qE+fPpSVlUUnTpygkydPUlJSkvi+fv360aVLl8jZ2bkcS/954cjjAzIyMqIlS5YorUXHGGOMMfUg76FbunQp3b9/n5ydnalLly4kCAK5uLjQ+vXryd/fn0JCQuj+/fsUFBRE169fp5iYGEpKSiI/Pz+1qOirm19++YXatm1LW7ZsoR49eoj1uMOHD9N3331H8fHxtHv3brK3t6c2bdpQ9+7dae3atZSfn08rVqwgLS0tSkhIoA0bNtCpU6do+fLlZGBgUM5H9eEYGRnRzJkzSRAEioiIoOzsbFqyZAnNmjWL3r59S3v27KHU1FRycnIiov+bX6hO50AVcKIUxhhjjLG/ae3atTR06FBydnam1q1b06pVq+jdu3cklUpJKpVSfHw8DR8+nG7fvk36+voklUpJJpNRWFgYTZ48ubyLz0rx8OFDGjlyJJ09e5ZWrVpF3bt3F0dcrVy5kpYuXUomJia0e/ducnBwoDt37tDMmTNp586dZGNjQ3Z2dpSRkUGPHz+mWbNmqe33rJgccNy4cTR37lwxOeC7d++4U6OccVDHGGOMMfYPBAcH0/Lly8nU1JR+//13cnNzE5OnSCQSevDgAf35558UGxtL1apVoxo1alC7du2ISPWSZaizjIwMMjExISKix48fU1BQEJ04cYJ+/PFH6ty5M+no6BARUVRUFC1ZsoTMzMxo165d5OjoSE+fPqVz587Rzp07KTk5mWrUqEFt27al7t27E5H6fs/Fs77PnDmTe+QqCA7qGGOMMcZK8b6K+cSJE2nx4sXUrl07ioqKImdnZ6XA7p9+Hvu0tm3bRps2baKIiAiqV68eERXNiRszZowY2HXp0kVctkAxsJP32JVF3b9nxcAuNDSUpk+fTvr6+uVdrM+e+l5xjDHGGGP/UkFBgVgxT0xMpKtXr1JycrKYxn7hwoU0evRoiouLo0mTJlFiYqI4564s6lzRVzW3bt2io0ePKiX3qFy5Mi1btoxatWpFQ4YMoZiYGMrLyyMiotGjR9O4ceMoPT2devbsSY8fPyai/0ueo9hHou7fszzre2hoKEVGRtKCBQvKu0iMuKeOMcYYY0yJPE09EdHQoUMpNjaWHj58SKamptS3b1/q0aMH+fn5EVFRZX/9+vXUvn17WrhwITk6OpZYmJxVHIrfzZkzZ8TF4JOSksTet0ePHtHYsWPL7LFbsWIF6erqUkxMzHt77NRdZmYmLV68mL788kuqXr16eRfns8dBHWOMMcZYKbp3706//vorffnll2Rra0u3bt2i6OhoqlevHs2YMYM6d+5MRERBQUG0ceNGatGiBS1evJiXLqiASgu05cMk+/XrR8+ePaOlS5dSzZo1iej9gd2yZctozpw5tHLlSurTp88nP5aKRN2HmqoS/hYYY4wxxorZt28fnTp1imbOnEmRkZE0efJk2rhxI23evJlu3bpFERERdO7cOSIiWr58OfXr149++uknunPnTjmXnBUnk8lIEATKzs6mffv20cWLF4no/4ZJOjg40OXLlyk8PJyuXbtGRERVqlQpcyjm2LFj6eTJk599QEek/kNNVQmvU8cYY4wxVkxycjJlZ2dTs2bNSFtbWxyS2bdvX5LJZNS/f386cuQIeXt7E1FR6vvevXtTs2bNyrnkTJG8JyktLY2+/vprunTpErm5udHBgwdJW1ubJBIJRUREkJGRES1YsIAA0LRp06hWrVpiYDd27FgaPnw4FRYWUrdu3UhHR4dq166t9PmMlTe+ChljjDHG/j/5rJQ3b95Qfn4+vXz5Uuk1ANSvXz9q3749RUdHU0ZGBslkMiIiMaCT/5uVLwAkkUgoNTWVGjVqRE+ePKHx48fT/v37SVdXlyQSifhdTZo0iUJDQ+n48eOl9tg1btyYAgMDxQQpchzQsYqCr0TGGGOMfbaKB2DyeVe9evUiExMT+v7774mISCqViksWEBHZ2NhQdnY2EZWs2HNFv2KQD7ns27cv2djY0PLlyyk4OJgMDQ3FLKaK39XkyZNpwoQJpQZ2UVFR9NNPP5GLi0u5HAtjf4WHXzLGGGPsswOACgsLSUOjqCp09+5dMjQ0JDMzM9LW1iZLS0saMWIEzZ8/n0xMTGjVqlXivs+ePaPnz5+Ti4uL2HvH2S4rpuvXr9O1a9coPDycGjduLAZxmpqaRET04sULkslkZGFhQRKJhMLCwggALV68mKRSKU2ePJk8PT3J0dGRHB0diYiHXLKKiYM6xhhjjH0WfvjhB7p27RotX76cBEEQg7R+/frR8ePHSUdHh6pXr07r168nW1tbGjJkCKWkpNCaNWsoOTmZ+vXrR9ra2nTixAk6cuQIfffdd2RqalrOR8Xe59q1a5SWlkY9e/YUl6koLCykmzdv0saNG2n79u2Uk5NDPXr0oK5du1KHDh1o6tSppKGhQXPmzKGMjAyKjo4mc3Nz8TM5oGMVEQd1jDHGGFN7WVlZ9Ntvv9GmTZtIX1+f5s+fT0REAwcOpKNHj1KvXr0oNzeXfv75Z2rQoAH99NNPVL9+fZo5cyZVq1aNoqKi6NChQ6ShoUFWVla0YMECGjZsGBGVni6fVQz29vYklUpp5cqVNG3aNMrLy6PIyEjavHkzJSYmkpOTE9na2tKmTZvowoULpKOjQ61ataJJkyZRTk4OVapUSSmgY6yi4nXqGGOMMfZZuH//Pi1dupS+++47CgkJocjISGrbti117tyZRo0aRRKJhH755RcKCwujpKQkOnjwIDVs2JAKCgooPT2dfvnlF7KwsCBLS0uqW7cuEfFQvIouJSWFunfvTjdu3KA6derQixcv6Pbt2+Tk5ESLFi0ib29vMjU1pY0bN9Lo0aNp6tSpNHv27BKfw4E7q+g4qGOMMcbYZ+PBgwe0aNEiWr16NfXu3ZseP35MGzdupGrVqhFRUeX9zJkzFBwcTI8ePaKDBw9SgwYNSv0sruirhgcPHtDs2bPp7NmzZGZmRr6+vhQWFqY0dDYtLY3q1KlD9vb29Ntvv5EgCBysM5XCwy8ZY4wx9tmoWrUqTZw4kQRBoOjoaNLQ0KDU1FSqVq2auBadj48PLV26lIKDg6lbt260d+9eatiwYYkgjgM61VC1alX64YcfKCcnhwwMDEgqlZJEIqGCggJxXuWTJ08IADVr1kyce8eYKuEmCMYYY4x9VpydnWns2LE0cOBAevPmDUVHRxNR0bIFMpmMBEEgHx8fWrZsGVlYWJCvry+lpqZyEKfCtLW1ydTUlDQ1NUsEdM+fP6ctW7bQu3fvqHnz5uVbUMb+Je6pY4wxxpjakve+Fefm5kYjR46kgoICWr16NRkaGlJkZKS4ILVEIqFGjRrRsmXL6OnTp2RlZVUOpWcfizygu3r1Ku3YsYOWL19O8+bNo4CAgHIuGWP/Dgd1jDHGGFNLigHdkiVLKDExkXR1dcnT05MCAwOpevXqNH78eAJAixYtIiISAzv5e/38/MTP46Qo6iMpKYnWrVtHe/bsoaysLIqMjKTg4GAi4u+ZqSYO6hhjjDGmluQBXYcOHejYsWNkampKmZmZlJ+fT2vWrKHdu3eTi4sLjR8/ngRBoEWLFpFUKqX58+eX2rvHFX31oampSadOnSIfHx/q0aMHtWvXjog4oGOqi4M6xhhjjKkVxflSx44do7t379LGjRvJ39+fCgsLafny5RQVFUVt27al2NhYcnV1peDgYJJIJLRgwQLKysqiqKiocj4K9jFVqlSJDh48SEREBgYGRFSUzZQDOqaqOKhjjDHGmFqRB3Rr1qyhK1eukKWlJXXs2JGMjIyIiGjKlClUpUoVmjBhAvXu3ZuOHTtGbm5uNG7cOMrKyqKqVauWZ/HZJyIP5uQ4EQ5TZbxOHWOMMcbUzsaNG2nQoEHk4uJCzZs3p9WrV5NMJiMAJJVKKTs7m6ZOnUorV66kI0eOUJs2bYiI6PXr12LwxxhjqoL7mBljjDGm8mQymdK/BwwYQJMnT6Z79+5RdHQ0XbhwgSQSCUmlUsrPzycDAwMaN24cyWQyunnzpvg+eUDHbd6MMVXCQR1jjDHGVFphYaE4FyopKUncPm/ePJoxYwbl5uZSeHi4GLxpamoSEdHLly9JKpWKwzUV8VA8xpgq4aCOMcYYYypLcdmCESNGUPv27Wnv3r1UWFhIRESzZs2iiRMn0k8//UShoaH0+++/ExHRgwcPaN++fSSTyahatWrlVn7GGPsQOFEKY4wxxlSSfH4cEVHHjh3p2rVr1K1bN6pZsyZJpVIx4FuwYAERES1cuJAOHz5Mbdu2pSdPntCrV68oPDyc/P39y/MwGGPsP+OgjjHGGGMqST5EMiQkhK5cuULffvsttWvXjgwNDYmIlNaaW7BgAWlra1N4eDi9fPmShg8fTgEBAWKmS16fjDGmyjioY4wxxpjKysvLozNnzpCPj48Y0L18+ZJu3rxJu3btIltbW2rQoAG1adOG5syZQ7m5ubRo0SKqXbs2BQQEEBEHdIwx1cdBHWOMMcZUVnZ2Nj148IBcXV1JEAS6ffs2TZo0ic6fP09v3ryhnJwc8vDwoPXr11O9evUoMjKSANDixYspPz+fpk2bRi4uLuV9GIwx9p9wsxRjjDHGVILiMgPyJQzMzc0pJCSENm3aRJ6enlSjRg169OgRDR8+nF68eEHx8fF07do1unjxovjehQsX0oQJEyg6OpomTZpECQkJn/xYGGPsQ+KeOsYYY4xVeIpZLgsKCig9PZ2srKyIiCg0NJQsLS0pLi6Oxo4dS506dSJnZ2ciIjI2NiZjY2PS0tJS+pzIyEjKzs6m9evXU1RUVPkcFGOMfSACeHVNxhhjjFVgigFdaGgonT59mm7fvk1NmzalLl26UGBgIOnq6tLbt29JV1dXfF9ycjL98MMPtGrVKtqzZw81adKkxOc9f/6crK2tP/1BMcbYB8RBHWOMMcZUQqdOnejs2bPk7e1NFhYWFBsbS8+fP6devXrR999/TwYGBmLSk9jYWDp48CBFRUXRvHnzKCQkROmz5PsB4IXGGWMqj4dfMsYYY6zCW7VqFZ06dYpWrFhBffr0IW1tbcrOzqYhQ4ZQTEwMaWlp0cqVK0lHR4eOHj1Kffr0IWNjY4qMjKSxY8cSkXKWS/n/c0DHGFMH3FPHGGOMsQpv9OjRtH//frp9+zYZGBhQXl6eGNgNGDCAfv75Z1q/fj317t2bEhIS6OLFi1SpUiVxyCUvW8AYU2d8d2OMMcZYhQWAANCbN28oLy+PMjIyiIhIW1ubCgsLycDAgNasWUOGhoZ06NAhIiJydnamXr16iQEdAA7oGGNqje9wjDHGGKsw5EsVEJE4300QBGratCm9fPmS4uLixNelUikVFhaSubk5ubm50aVLlyg/P5+KD0LiIZaMMXXHQR1jjDHGKoSCggKxRy0vL49ycnLE13r27EktW7ak0aNHlwjsnjx5Qq9fv6aaNWuSpqbmpy42Y4yVOw7qGGOMMVYutm3bRidOnCCiol45DY2i/G0jRoygpk2bUrt27WjVqlVEVLTe3OTJk8nBwYG6detGK1eupNu3b9O1a9coKiqKbt68SR07diQi7pljjH1+OFEKY4wxxj65Z8+eka+vL6Wnp9O+ffvIz8+PiIp65I4fP0716tWjt2/f0vnz52n48OH0v//9j4yMjCguLo4WLVpEhw8fJi0tLdLW1iaZTEbTpk2jSZMmlfNRMcZY+eCgjjHGGGOfnEwmo7i4OJo0aRIlJyfT1q1bydLSkgIDA2nChAnUp08fysjIoOjoaJo8eTJ98cUXtHz5cjIxMSEAtGfPHrp58yaZmJhQzZo1qWXLluLnclIUxtjnhoM6xhhjjH0SxRf6LigooNOnT1NwcDC9fv2agoKCaP/+/XTw4EEyNDQkoqK5dRs3bqQxY8ZQnz59aOHChWRlZVXq53NAxxj7XPGdjzHGGGMfnUwmI0EQKD8/nwoKCujJkyekoaFBLVq0oKioKDI1NaWQkBBKS0uj/Px88X3a2to0YMAAWrFiBW3fvp3CwsLo2bNnpf4NDugYY58rvvsxxhhj7KMqLCwkiURCL1++pFGjRlG9evXIxcWFgoKC6MqVK+Tr60vffvstNW/enO7du0exsbFK75cHditXrqR169ZRUFAQvX37tpyOhjHGKh4efskYY4yxj6awsJCkUik9e/aM/Pz8CAA5ODjQ27dv6ezZs+Tv709RUVHk4OBAp06dookTJ1JKSgpt27aNmjVrpvRZeXl5tGbNGiIiGjNmTHkcDmOMVUgc1DHGGGPso5DPcXv27Bk1bNiQ7O3tad68edS8eXN69uwZff/99zR37lxatmwZjRkzhgoLC+n06dM0btw4Sk1Npa1bt5YI7BTnzRWfo8cYY58rHn7JGGOMsY9CIpFQRkYG1alTh4yMjGjFihVikGZjY0NdunQhDQ0N+vXXX6mgoICkUin5+fnRkiVLyMrKivr27Uvx8fElPlOOAzrGGCvCQR1jjDHGPprz58+LCVK0tLRIEAQqLCwkoqIFxbW0tMjCwoKkUikBIIlEIgZ2lSpVoh49eogLlDPGGCsdB3WMMcYY+2h8fX1p1apVlJeXR/369aMrV66QVColIqLw8HDS0dGhkJAQEgRB7HmTB3YLFiwgQ0NDevjwYTkeAWOMVXw8p44xxhhjH1VeXh4dOXKExo4dSyYmJrRnzx5asmQJbdiwgTZt2kQ9evQodY05mUxGKSkpZGdnV04lZ4wx1cBBHWOMMcY+OnlgFxQUROnp6VRYWEgbNmygnj17ij13ioonQeGkKIwxVjYefskYY4yxj05bW5sCAgJo2bJl5ObmRqampuTq6lpqQEdUMgkKB3SMMVY27qljjDHG2CeTm5tLR44coeDgYDIxMaEtW7ZQzZo1y7tYjDGm0jioY4wxxtgnpTjHztjYmLZt20YeHh7lXSzGGFNZPPySMcYYY5+U4lDMN2/eUI8ePejKlSvlXSzGGFNZHNQxxhhj7JOTB3YLFy6klJQUun79enkXiTHGVBYPv2SMMcZYucnLy6Pk5GRydnYu76IwxpjK4qCOMcYYYxVCaWvVMcYY+2sc1DHGGGOMMcaYCuPmMMYYY4wxxhhTYRzUMcYYY4wxxpgK46COMcYYY4wxxlQYB3WMMcYYY4wxpsI4qGOMMcYYY4wxFcZBHWOMMcYYY4ypMA7qGGOMMcYYY0yFcVDHGGOMVWAbNmwgQRDo4cOHFeqzGGOMVRwc1DHGGGOMMcaYCuOgjjHGGGOMMcZUGAd1jDHGGGOMMabCOKhjjDH2USQnJ9PgwYOpUqVKpK2tTU5OTjRixAh69+6duE9CQgL16tWLzMzMSE9Pjxo1akSHDh1S+py4uDgSBIF27txJs2fPJjs7OzI0NKSePXtSZmYm5eXlUXBwMFlZWZGBgQENGjSI8vLylD5DEAQaPXo0bdmyhdzc3EhHR4fq169P8fHxJcp96dIlCggIICMjIzIwMKBWrVrR2bNnlfaZNWsWCYJQ4r2lzVlzdHSkjh070q+//kpeXl6ko6NDzs7OtGnTphLvv3HjBrVs2ZJ0dXWpcuXKFB4eTjKZ7G+dbyKi27dvU+/evcnS0pJ0dXXJzc2Npk6d+t73xMTEUIcOHcTvqWrVqjR37lwqLCxU2u/evXvUo0cPsrGxIR0dHapcuTL16dOHMjMzxX2OHz9OTZs2JRMTEzIwMCA3NzcKCwv72+VnjDH272iUdwEYY4ypn6dPn5KXlxdlZGTQsGHDyN3dnZKTk2n37t2Uk5NDWlpa9Pz5c2rcuDHl5ORQUFAQmZub08aNG6lz5860e/du6tatm9Jnzp8/n3R1dWny5Ml0//59WrFiBWlqapJEIqFXr17RrFmz6OzZs7RhwwZycnKiGTNmKL3/1KlTtGPHDgoKCiJtbW367rvvqF27dnT+/HmqWbMmERUFVb6+vmRkZEShoaGkqalJq1evpubNm9OpU6fI29v7X52P+/fvU8+ePWnw4ME0YMAAWrduHQ0cOJDq169PHh4eRET07NkzatGiBRUUFNDkyZNJX1+f1qxZQ7q6un/rb1y9epV8fX1JU1OThg0bRo6OjvTgwQM6cOAARURElPm+DRs2kIGBAY0fP54MDAzo5MmTNGPGDHr9+jUtXLiQiIjevXtH/v7+lJeXR2PGjCEbGxtKTk6mgwcPUkZGBhkbG9ONGzeoY8eO5OnpSXPmzCFtbW26f/8+/fbbb//qnDHGGPsHwBhjjH1g/fv3h0QiwR9//FHiNZlMBgAIDg4GEeH06dPia1lZWXBycoKjoyMKCwsBALGxsSAi1KxZE+/evRP3/fLLLyEIAgICApQ+38fHBw4ODkrbiAhEhAsXLojbkpKSoKOjg27duonbunbtCi0tLTx48EDc9vTpUxgaGsLPz0/cNnPmTJT2CF2/fj2ICImJieI2BwcHEBHi4+PFbampqdDW1kZISIi4TX4+zp07p7SfsbFxic8sjZ+fHwwNDZGUlKS0XX6+yypfTk5Oic/65ptvoKenh9zcXADApUuXQETYtWtXmX9/yZIlICKkpaW9t5yMMcY+PB5+yRhj7IOSyWS0f/9+6tSpEzVo0KDE6/Jhi4cPHyYvLy9q2rSp+JqBgQENGzaMHj58SDdv3lR6X//+/UlTU1P8t7e3NwGgr7/+Wmk/b29vevz4MRUUFCht9/Hxofr164v/rlKlCnXp0oWOHj1KhYWFVFhYSMeOHaOuXbuSs7OzuJ+trS317duXfv31V3r9+vW/OCNENWrUIF9fX/HflpaW5ObmRgkJCeK2w4cPU6NGjcjLy0tpv8DAwL/8/LS0NIqPj6evv/6aqlSpovRaacNEFSn2BGZlZdGLFy/I19eXcnJy6Pbt20REZGxsTERER48epZycnFI/x8TEhIiKhnP+kyGjjDHG/jsO6hhjjH1QaWlp9Pr1a3FIY1mSkpLIzc2txPbq1auLrysqHqzIAw17e/sS22UymdJcLyIiFxeXEn/L1dWVcnJyKC0tjdLS0ignJ6fMMslkMnr8+PF7j6ksxctORGRqakqvXr0S/52UlFRqGUsrT3Hy4PCvznlpbty4Qd26dSNjY2MyMjIiS0tL6tevHxGReA6dnJxo/Pjx9OOPP5KFhQX5+/vTypUrlc7xF198QU2aNKEhQ4aQtbU19enTh3bu3MkBHmOMfQIc1DHGGFMJUqn0H20H8NHKUlbvV/HkInLlUca/IyMjg5o1a0ZXrlyhOXPm0IEDB+j48eO0YMECIiKlgGzx4sV09epVCgsLo7dv31JQUBB5eHjQkydPiKioxy8+Pp5++eUX+uqrr+jq1av0xRdfUJs2bco8L4wxxj4MDuoYY4x9UJaWlmRkZETXr19/734ODg50586dEtvlQ/4cHBw+aLnu3btXYtvdu3dJT0+PLC0tydLSkvT09Mosk0QiEXsFTU1NiagoKFJUvHfxn3BwcCi1jKWVpzj5cNG/OufFxcXF0cuXL2nDhg00duxY6tixI7Vu3Vo8vuJq1apF06ZNo/j4eDp9+jQlJyfTqlWrxNclEgm1atWKvv32W7p58yZFRETQyZMnKTY29h+VizHG2D/DQR1jjLEPSiKRUNeuXenAgQN04cKFEq/Le6fat29P58+fpzNnzoivvXnzhtasWUOOjo5Uo0aND1quM2fO0J9//in++/HjxxQTE0Nt27YlqVRKUqmU2rZtSzExMUpLEjx//py2bt1KTZs2JSMjIyIiqlq1KhGR0pIIb968oY0bN/7r8rVv357Onj1L58+fF7elpaXRli1b/vK9lpaW5OfnR+vWraNHjx4pvfa+3kB5D6LiPu/evaPvvvtOab/Xr1+XmKNYq1Ytkkgk4vIR6enpJT6/Tp06REQllphgjDH2YfGSBowxxj64efPm0bFjx6hZs2Y0bNgwql69OqWkpNCuXbvo119/JRMTE5o8eTJt27aNAgICKCgoiMzMzGjjxo2UmJhIe/bsIYnkw7Y71qxZk/z9/ZWWNCAimj17trhPeHi4uNbayJEjSUNDg1avXk15eXkUGRkp7te2bVuqUqUKDR48mCZOnEhSqZTWrVtHlpaWJYKqvys0NJSio6OpXbt2NHbsWHFJAwcHB7p69epfvn/58uXUtGlTqlevHg0bNoycnJzo4cOHdOjQIbp8+XKp72ncuDGZmprSgAEDKCgoiARBoOjo6BKB4MmTJ2n06NHUq1cvcnV1pYKCAoqOjiapVEo9evQgIqI5c+ZQfHw8dejQgRwcHCg1NZW+++47qly5slIyHMYYYx8eB3WMMcY+ODs7Ozp37hxNnz6dtmzZQq9fvyY7OzsKCAggPT09IiKytram33//nSZNmkQrVqyg3Nxc8vT0pAMHDlCHDh0+eJmaNWtGPj4+NHv2bHr06BHVqFGDNmzYQJ6enuI+Hh4edPr0aZoyZQrNnz+fZDIZeXt70+bNm5XWqNPU1KR9+/bRyJEjafr06WRjY0PBwcFkampKgwYN+lfls7W1pdjYWBozZgz973//I3Nzcxo+fDhVqlSJBg8e/Jfvr127Np09e5amT59O33//PeXm5pKDgwP17t27zPeYm5vTwYMHKSQkhKZNm0ampqbUr18/atWqFfn7+yt9tr+/Px04cICSk5NJT0+PateuTUeOHKFGjRoREVHnzp3p4cOHtG7dOnrx4gVZWFhQs2bNaPbs2WJSG8YYYx+HgPKepc0YY4x9ZIIg0KhRoygqKqq8i8IYY4x9cDynjjHGGGOMMcZUGAd1jDHGGGOMMabCOKhjjDHGGGOMMRXGiVIYY4ypPZ4+zhhjTJ1xTx1jjDHGGGOMqTAO6hhjjDHGGGNMhXFQxxhjjDHGGGMqjIM6xhhjjDHGGFNhHNQxxhhjjDHGmArjoI4xxhhjjDHGVBgHdYwxxhhjjDGmwjioY4wxxhhjjDEV9v8ALut7KBtP3wEAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 9
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Classyfire\n",
    "An almost always more useful clustering is using the Classyfire [2] classification done by Feunang et al.. In code terms, we pull the online documentation of the molecules in question with their Classyfire information, read it and cluster them based on that. This approach is far superior over the simple one above, but can take very long to do (it takes about 2 min to retrieve the information for 100 molecules)."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "f5c802817c7240ea"
  },
  {
   "cell_type": "code",
   "source": [
    "subset_smiles = data.smiles[100:200]\n",
    "\n",
    "from grape_chem.analysis import classyfire, classyfire_result_analysis\n",
    "ids, data_ids = classyfire(subset_smiles, log=False)\n",
    "smile_classes, class_num_dictionary = classyfire_result_analysis(idx=ids)\n",
    "print(class_num_dictionary)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:45.998580Z",
     "start_time": "2024-06-04T14:09:45.952010Z"
    }
   },
   "id": "485f1516445b9c2a",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found log file in working directory.\n",
      "All passed smiles are already in the passed log_file.\n",
      "Key error occurred using superclass for file 683.json.\n",
      "Key error occurred using superclass for file 695.json.\n",
      "Key error occurred using superclass for file 656.json.\n",
      "Key error occurred using superclass for file 640.json.\n",
      "Key error occurred using superclass for file 660.json.\n",
      "Key error occurred using superclass for file 621.json.\n",
      "Key error occurred using superclass for file 699.json.\n",
      "Key error occurred using superclass for file 676.json.\n",
      "{'Benzenoids': 37, 'Phenylpropanoids and polyketides': 1, 'Organic nitrogen compounds': 3, 'Organophosphorus compounds': 1, 'Organoheterocyclic compounds': 11, 'Organic oxygen compounds': 5, 'Organohalogen compounds': 13, 'Hydrocarbons': 9, 'Organic acids and derivatives': 7, 'Acetylides': 1, 'Lipids and lipid-like molecules': 2, 'Alkaloids and derivatives': 1, 'Organosulfur compounds': 1}\n"
     ]
    }
   ],
   "execution_count": 10
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.plots import num_chart\n",
    "num_chart(class_num_dictionary, fig_size=(10,4))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:46.168879Z",
     "start_time": "2024-06-04T14:09:46.013651Z"
    }
   },
   "id": "dc235f20ef625a1e",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 1000x400 with 1 Axes>,\n",
       " <Axes: xlabel='compound class', ylabel='number of molecules'>)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 11
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "The classyfire code is split in two: (1) ``classyfire`` sends the relevant information to the classyfire website (http://classyfire.wishartlab.com/) and retrieves the class information as a json file. Furthermore, a csv file called ``recorded_SMILES`` is generated that stores the json file indices together with corresponding SMILES to prevent double downloading. (2) ``classyfire_result_analysis`` reads the json files and return dictionaries with all SMILES and their class as well as class frequency dictionary. That dictionary can then be fed directly to a class frequency plotting function.",
   "id": "dbd13f01b8320adc"
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Molecular Weight against Target\n",
    "Another option for visual analysis is to plot the molecule weight against the target attribute. This might give an indication on how molecule size correlates with the target, often a usual observation."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "df72a3c591ebfbf0"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.plots import mol_weight_vs_target\n",
    "print(data.target)\n",
    "mol_weight_vs_target(data.smiles, data.target, save_fig=True, fig_height=6, target_name='mpC')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:46.581433Z",
     "start_time": "2024-06-04T14:09:46.170103Z"
    }
   },
   "id": "b9a3de30520ebcc5",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-161.51   94.8   239.75 ...  176.     65.    -34.  ]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 600x600 with 3 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 12
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Feature number charts\n",
    "If only a basic analysis of the dataset, is needed, then one can generate number charts based on the featurizion of the molecules. The implementation is built on top of DGL-LIFESCI ```analyze_mols``` function ([github](https://github.com/awslabs/dgl-lifesci/blob/master/python/dgllife/utils/analysis.py)), below is an example."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "5ca2e27090ad899f"
  },
  {
   "cell_type": "code",
   "source": [
    "%matplotlib inline\n",
    "\n",
    "results, figures = data.analysis(download=True, plots=['atom_type_frequency','total_num_h_frequency'], fig_size=[8,4],\n",
    "                                 save_plots=True)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:47.312653Z",
     "start_time": "2024-06-04T14:09:46.582405Z"
    }
   },
   "id": "5437924d04dac980",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 13
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "We could also plot the number of heavy atoms as a barchart:",
   "id": "b743ebc2938b3540"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:47.681976Z",
     "start_time": "2024-06-04T14:09:47.321136Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from grape_chem.plots import num_heavy_plot\n",
    "num_heavy_plot(data.smiles, fig_size=(20,8))"
   ],
   "id": "22d320ed0c6366a9",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Heavy atoms distribution'}, xlabel='Number of heavy atoms per molecule', ylabel='Counts'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 14
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Clustering and data splitting\n",
    "There are several ways to split the graph dataset into the training, validation and testing splits, including random, stratified or by molecular weight. A more interesting addition in this toolbox is a split based on **Butina clustering** [2], where the molecules are clustered based on the Morgan Fingerprint and the Tanimoto similarity. Within there are two options: (1) a **uniform** split where we sample across all clusters evenly, and (2) a **realistic** split where we fill up the train., val. and test. split with clusters from largest to smallest in order.\n",
    "\n",
    "Below, we choose the *realistic* split:\n"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "84a049270e99b664"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.datasets import BradleyDoublePlus\n",
    "data = BradleyDoublePlus()\n",
    "\n",
    "train, val, test = data.split_and_scale(scale=True, split_type='butina_realistic', seed=42, is_dmpnn=True);"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:54.359297Z",
     "start_time": "2024-06-04T14:09:47.682797Z"
    }
   },
   "id": "5df530c0cc23508b",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 2402/2402 [00:00<00:00, 4044.18it/s]\n",
      "100%|██████████| 292/292 [00:00<00:00, 3589.26it/s]\n",
      "100%|██████████| 295/295 [00:00<00:00, 3060.39it/s]\n"
     ]
    }
   ],
   "execution_count": 15
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Note that we scale using the training set immediately and that we specify that we are working with DMPNN (a directional GNN).",
   "id": "204bfe58f0e829ce"
  },
  {
   "cell_type": "markdown",
   "source": [
    "## GNN Models\n",
    "With the data loaded, filtered, featurized and split, let's define a Graph Neural Network and test it! We can always find the number of features like thus:"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "e913e5bc4798f9ef"
  },
  {
   "cell_type": "code",
   "source": [
    "print(f'Node feature dimension: {data.num_node_features}')\n",
    "print(f'Edge feature dimension: {data.num_edge_features}')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:54.362258Z",
     "start_time": "2024-06-04T14:09:54.360167Z"
    }
   },
   "id": "91049a58b3749087",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Node feature dimension: 44\n",
      "Edge feature dimension: 12\n"
     ]
    }
   ],
   "execution_count": 16
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Model definition\n",
    "To define a model, all we need to do is load one of the in-built models like ``MPNN`` or ``MEGNet`` and apply it. Any model that can handle the PyG graphs as input would work for that matter, fx. one could use the PyG models instead. Below, we load the ``DMPNN`` model directly from the package and initialize it:"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "ce878f1e8b4f2b86"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.models import DMPNN\n",
    "import torch\n",
    "\n",
    "node_hidden_dim = 64 \n",
    "batch_size = 32\n",
    "mlp_layers = [512, 256, 128]\n",
    "\n",
    "\n",
    "model = DMPNN(node_in_dim=data.num_node_features, edge_in_dim=data.num_edge_features, node_hidden_dim=node_hidden_dim,\n",
    "              mlp_out_hidden=mlp_layers)\n",
    "\n",
    "                  \n",
    "\n",
    "print('Full model:\\n--------------------------------------------------')\n",
    "print(model)\n",
    "\n",
    "device = torch.device('cpu')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:54.368980Z",
     "start_time": "2024-06-04T14:09:54.362982Z"
    }
   },
   "id": "6b87928b7fb78303",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Full model:\n",
      "--------------------------------------------------\n",
      "DMPNN(\n",
      "  (rep_dropout): Dropout(p=0.0, inplace=False)\n",
      "  (encoder): DMPNNEncoder(\n",
      "    (act_func): ReLU()\n",
      "    (W1): Linear(in_features=56, out_features=64, bias=True)\n",
      "    (W2): Linear(in_features=64, out_features=64, bias=True)\n",
      "    (W3): Linear(in_features=108, out_features=64, bias=True)\n",
      "    (dropout_layer): Dropout(p=0.15, inplace=False)\n",
      "  )\n",
      "  (mlp_out): Sequential(\n",
      "    (0): Linear(in_features=64, out_features=512, bias=True)\n",
      "    (1): ReLU()\n",
      "    (2): Linear(in_features=512, out_features=256, bias=True)\n",
      "    (3): ReLU()\n",
      "    (4): Linear(in_features=256, out_features=128, bias=True)\n",
      "    (5): ReLU()\n",
      "    (6): Linear(in_features=128, out_features=1, bias=True)\n",
      "  )\n",
      ")\n"
     ]
    }
   ],
   "execution_count": 17
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Loss and Optimizer\n",
    "Like with any deep learning model, we define a loss function and optimizer."
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "93ab2bf27c0de8c1"
  },
  {
   "cell_type": "code",
   "source": [
    "from torch import nn\n",
    "\n",
    "loss_func = nn.functional.mse_loss\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=1e-3, weight_decay=1e-6)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:54.371503Z",
     "start_time": "2024-06-04T14:09:54.369573Z"
    }
   },
   "id": "5743f7dc3819597d",
   "outputs": [],
   "execution_count": 18
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "We can additionally define an Early Stopper to help improve the output:",
   "id": "55b7792b15ee573"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:54.373779Z",
     "start_time": "2024-06-04T14:09:54.372077Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from grape_chem.utils import EarlyStopping\n",
    "early_stopper = EarlyStopping(patience=30, model_name='best_model')"
   ],
   "id": "ffabcde44f6a2079",
   "outputs": [],
   "execution_count": 19
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "As well as a scheduler to reduce the learning-rate whenever the training hits a plateau:",
   "id": "9469cd51c803da7f"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:09:54.376568Z",
     "start_time": "2024-06-04T14:09:54.374475Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from torch.optim import lr_scheduler\n",
    "scheduler = lr_scheduler.ReduceLROnPlateau(optimizer, mode='min', factor=0.9, min_lr=0.0000000000001, patience=15)"
   ],
   "id": "d65ce3f7173d9949",
   "outputs": [],
   "execution_count": 20
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Training\n",
    "Here, we just use the previous determined training and validation splits to train the model inside the ```train_model``` function:"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "a5852438c8a78fac"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.utils import train_model\n",
    "\n",
    "train_loss, val_loss = train_model(model = model,\n",
    "                                  loss_func = 'mse',\n",
    "                                  optimizer = optimizer,\n",
    "                                  train_data_loader= train,\n",
    "                                  val_data_loader = val,\n",
    "                                  batch_size=batch_size,\n",
    "                                  epochs=300,\n",
    "                                  early_stopper=early_stopper,\n",
    "                                   scheduler=scheduler)\n",
    "\n",
    "model.load_state_dict(torch.load('best_model.pt'))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:08.953498Z",
     "start_time": "2024-06-04T14:09:54.377162Z"
    }
   },
   "id": "41cc06988f38d09e",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "epoch=46, training loss= 0.093, validation loss= 0.427:  15%|█▌        | 46/300 [00:14<01:20,  3.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Early stopping reached with best validation loss 0.3590\n",
      "Model saved at: best_model.pt\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<All keys matched successfully>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 21
  },
  {
   "cell_type": "markdown",
   "source": "### Loss plot",
   "metadata": {
    "collapsed": false
   },
   "id": "361ba640a7929d0b"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "The training function returns the training and validation losses which can visualize as:",
   "id": "ceb717cc2aad4681"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.plots import loss_plot\n",
    "loss_plot([train_loss, val_loss], ['train loss', 'test loss'], early_stopper.stop_epoch)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:09.078221Z",
     "start_time": "2024-06-04T14:10:08.954094Z"
    }
   },
   "id": "c3656398b457a429",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 22
  },
  {
   "cell_type": "markdown",
   "source": "## Testing and Post-processing",
   "metadata": {
    "collapsed": false
   },
   "id": "7b095569f9d4b79"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "For testing, we use the ``test_model`` from the toolbox which essentially just uses predicts the test SMILES using the trained model:",
   "id": "19901d9722e0c9e8"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.utils import test_model\n",
    "preds = test_model(model=model,\n",
    "                   test_data_loader=test)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:09.142137Z",
     "start_time": "2024-06-04T14:10:09.080024Z"
    }
   },
   "id": "74abf44039f7dc5f",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 10/10 [00:00<00:00, 178.52it/s]\n"
     ]
    }
   ],
   "execution_count": 23
  },
  {
   "cell_type": "markdown",
   "source": "Then we calculate some (re-scaled) metrics on the predictions using ``pred_metric``:",
   "metadata": {
    "collapsed": false
   },
   "id": "7d013d22f8351053"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.utils import pred_metric\n",
    "pred_metric(prediction=preds,target=test.y, metrics='all', print_out=True, rescale_data=data);"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:09.151923Z",
     "start_time": "2024-06-04T14:10:09.143774Z"
    }
   },
   "id": "ea9472c1a1c39934",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MSE: 3788.606\n",
      "RMSE: 61.552\n",
      "SSE: 1117638.819\n",
      "MAE: 49.257\n",
      "R2: 0.629\n",
      "MRE: 64.075%\n",
      "MDAPE: 28.588%\n"
     ]
    }
   ],
   "execution_count": 24
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Note that we have to pass the original data object to make sure we are recaling on the correct data.",
   "id": "202bee48dd82d82a"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### Parity and Residual plots",
   "id": "10d5eb98121e5bf3"
  },
  {
   "cell_type": "markdown",
   "source": [
    "We could also choose to plot the parity and residual plots:"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "6288687b13f0661c"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.plots import parity_plot, residual_plot\n",
    "# We rescale the predictions and ground truth before plotting\n",
    "preds_rescaled, test_y_rescaled = data.rescale_data(preds), data.rescale_data(test.y)\n",
    "parity_plot(prediction=preds_rescaled,target=test_y_rescaled, mol_weights=test.mol_weights);"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:09.287803Z",
     "start_time": "2024-06-04T14:10:09.153393Z"
    }
   },
   "id": "fae251cc100db95d",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 25
  },
  {
   "cell_type": "code",
   "source": "residual_plot(prediction=preds_rescaled,target=test_y_rescaled)",
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:09.499817Z",
     "start_time": "2024-06-04T14:10:09.288675Z"
    }
   },
   "id": "54006a712ec75036",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Residual plot'}, xlabel='Ground truth', ylabel='Residual'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 26
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### Metrics",
   "id": "a5a69eb952be860d"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "We can also examine the how the over splits, training and validation, behave. To do so, we might calculate average or **overall** metrics:",
   "id": "a7548463b615543f"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:09.728290Z",
     "start_time": "2024-06-04T14:10:09.501335Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# Generating the predictions\n",
    "\n",
    "train_preds = test_model(model=model,test_data_loader=train)\n",
    "val_preds = test_model(model=model,test_data_loader=val)\n",
    "test_preds = test_model(model=model,test_data_loader=test)"
   ],
   "id": "be7a23fad7ed8bac",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 76/76 [00:00<00:00, 442.06it/s]\n",
      "100%|██████████| 10/10 [00:00<00:00, 370.22it/s]\n",
      "100%|██████████| 10/10 [00:00<00:00, 448.13it/s]\n"
     ]
    }
   ],
   "execution_count": 27
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:09.732774Z",
     "start_time": "2024-06-04T14:10:09.729012Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# Overall R2\n",
    "\n",
    "overall = 0\n",
    "overall += pred_metric(prediction=train_preds,target=train.y, metrics='r2', print_out=False)['r2']\n",
    "overall += pred_metric(prediction=val_preds,target=val.y, metrics='r2', print_out=False)['r2']\n",
    "overall += pred_metric(prediction=test_preds,target=test.y, metrics='r2', print_out=False)['r2']\n",
    "print(f'Overall R2: {overall/3}')"
   ],
   "id": "c16194d8eebcaa59",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall R2: 0.7306092634540665\n"
     ]
    }
   ],
   "execution_count": 28
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:09.739539Z",
     "start_time": "2024-06-04T14:10:09.736091Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# Overall MAE\n",
    "\n",
    "overall = 0\n",
    "overall += pred_metric(prediction=train_preds,target=train.y, metrics='mae', print_out=False, rescale_data=data)['mae']\n",
    "overall += pred_metric(prediction=val_preds,target=val.y, metrics='mae', print_out=False, rescale_data=data)['mae']\n",
    "overall += pred_metric(prediction=test_preds,target=test.y, metrics='mae', print_out=False, rescale_data=data)['mae']\n",
    "print(f'Overall MAE: {overall/3}')"
   ],
   "id": "d0b95041c1910e2f",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overall MAE: 40.01786928641531\n"
     ]
    }
   ],
   "execution_count": 29
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### Residual Density",
   "id": "63dff6abb3048cc8"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Furthermore, using the predictions from all three splits we can plot the residual density:",
   "id": "a76f12fe92b7f948"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:10.257839Z",
     "start_time": "2024-06-04T14:10:09.740145Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from grape_chem.plots import residual_density_plot\n",
    "residual_density_plot(train_pred=train_preds, val_pred=val_preds, test_pred=test_preds,\n",
    "                      train_target=train.y, val_target=val.y, test_target=test.y)"
   ],
   "id": "60999e4bf11fb39b",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x600 with 1 Axes>"
      ],
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 30
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "For the (scaled) residual density plot, we are looking to examine how our errors or residuals behave. Namely, we want them to be normally distributed, and they seem to be!",
   "id": "88a354fb7f304398"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### Latent analysis",
   "id": "b3dfe1392885b20e"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "#### PCA",
   "id": "3740b44aea35f608"
  },
  {
   "cell_type": "markdown",
   "source": "Finally, we could analyze the model latents by applying a PCA model and plotting them based on groups. Let us first classify a subset of our test SMILES and label them according to their classes:",
   "metadata": {
    "collapsed": false
   },
   "id": "27a0ff761cd200cd"
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.analysis import classyfire, classyfire_result_analysis\n",
    "ids, data_ids = classyfire(test.smiles[:100], log=False)\n",
    "# -> ids are used for the result analysis and data_ids for specifying the data point from the test set we can use\n",
    "\n",
    "class_dict, smile_dict, rel_ids = classyfire_result_analysis(idx=ids, layer=1, return_relative_ids=True)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:10.289950Z",
     "start_time": "2024-06-04T14:10:10.258676Z"
    }
   },
   "id": "dca098acbf8baf04",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found log file in working directory.\n",
      "All passed smiles are already in the passed log_file.\n",
      "Key error occurred using superclass for file 683.json.\n",
      "Key error occurred using superclass for file 695.json.\n",
      "Key error occurred using superclass for file 656.json.\n",
      "Key error occurred using superclass for file 640.json.\n",
      "Key error occurred using superclass for file 660.json.\n",
      "Key error occurred using superclass for file 621.json.\n",
      "Key error occurred using superclass for file 699.json.\n",
      "Key error occurred using superclass for file 676.json.\n"
     ]
    }
   ],
   "execution_count": 31
  },
  {
   "cell_type": "code",
   "source": [
    "indices = list(class_dict.keys())\n",
    "labels = list(class_dict.values())\n",
    "print(labels[:10])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:10.292411Z",
     "start_time": "2024-06-04T14:10:10.290565Z"
    }
   },
   "id": "34765e3da61e364d",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Benzenoids', 'Benzenoids', 'Benzenoids', 'Benzenoids', 'Phenylpropanoids and polyketides', 'Benzenoids', 'Organic nitrogen compounds', 'Organophosphorus compounds', 'Organoheterocyclic compounds', 'Organoheterocyclic compounds']\n"
     ]
    }
   ],
   "execution_count": 32
  },
  {
   "cell_type": "markdown",
   "source": "This will let us label the PCA plot much better. Now we can retrieve and generate the PCA plot:",
   "metadata": {
    "collapsed": false
   },
   "id": "ced524226d84cc4f"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:10.308632Z",
     "start_time": "2024-06-04T14:10:10.292990Z"
    }
   },
   "cell_type": "code",
   "source": [
    "lats_data = test[:100]\n",
    "preds, lats = test_model(model, test_data_loader=lats_data, return_latents=True)\n",
    "lats = lats.cpu().detach().numpy()"
   ],
   "id": "93d605510f2df3d",
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4/4 [00:00<00:00, 317.61it/s]\n"
     ]
    }
   ],
   "execution_count": 33
  },
  {
   "cell_type": "code",
   "source": [
    "from grape_chem.plots import pca_2d_plot\n",
    "pca_2d_plot(latents=lats[rel_ids], labels=labels, save_fig=True, fig_size=(20,12))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:10.803778Z",
     "start_time": "2024-06-04T14:10:10.309282Z"
    }
   },
   "id": "8afaf77f1bf7ca24",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': \"PCA using the two first PC's\"}>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ],
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 34
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "#### t-SNE",
   "id": "fbb1d8aa084a1091"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "Alternatively, we could use the t-SNE (t-distributed Stochastic Neighbor Embedding) algorithm by [4] to perform dimensionality reduction. The algorithm essentially uses probabilistic similarity measures to cluster the input point for n-components (here 2) and relies on two hyperparameters: perplexity (approximately equal to the number of neighbors per point) and the number of iterations the algorithm runs for.\n",
    "\n",
    "It is generally a tricky feat to have the algorithm converge and produce interesting results, but it is possible! Here is an example use:"
   ],
   "id": "bab2c6e459e20f31"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:11.576592Z",
     "start_time": "2024-06-04T14:10:10.804464Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from grape_chem.plots import tSNE_plot\n",
    "tSNE_plot(latents=lats[rel_ids], labels=labels, perplexity=5, save_fig=True, fig_size=(20,12))"
   ],
   "id": "9e26bdd9e709b014",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 't-distributed Stochastic Neighbor Embedding'}>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 35
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "## Prediction\n",
    "\n",
    "The final step of the typical machine learning pipeline is to use the model for **prediction**. This is made easy by the ``DataSet`` method ``predict_smiles``. The requirement for the method to work is that (1) the model and dataset share the same node- and edge-features (generally true if the model was trained using a specific ``DataSet`` object's data); and (2) that the input SMILES are valid compounds and recognized by ``rdkit``.\n",
    "\n",
    "Using it looks like the following:"
   ],
   "id": "7b678c6bfa5bbc91"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:11.586772Z",
     "start_time": "2024-06-04T14:10:11.577998Z"
    }
   },
   "cell_type": "code",
   "source": [
    "SMILES_to_predict = ['CC','CCO', 'CCCCCC']\n",
    "data.predict_smiles(SMILES_to_predict, model) # The results are in degrees Celsius"
   ],
   "id": "9204cea822f0dcd",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'CC': -244.16973876953125,\n",
       " 'CCO': -88.8644027709961,\n",
       " 'CCCCCC': -118.04553985595703}"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 36
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "Note that the results can only be rescaled if ``DataSet`` has internal `mean` and `std` value, or they have to be passed manually.\n",
    "\n",
    "For completion, here is what it looks like to predict from a dataset *without* first training the model (using the FreeSolv dataset and AFP as an example):"
   ],
   "id": "3a1278cd2a2e335d"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-04T14:10:11.974848Z",
     "start_time": "2024-06-04T14:10:11.587860Z"
    }
   },
   "cell_type": "code",
   "source": [
    "from grape_chem.datasets import FreeSolv\n",
    "from grape_chem.models import AFP\n",
    "\n",
    "data = FreeSolv()\n",
    "model = AFP(node_in_dim=data.num_node_features, edge_in_dim=data.num_edge_features)\n",
    "data.predict_smiles(['CC', 'CCCCCCCCC'], model)"
   ],
   "id": "3a49fd0735c737e4",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'CC': 0.0484485849738121, 'CCCCCCCCC': 0.05039355903863907}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 37
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "These numbers are just random, of course.",
   "id": "cfea7fd3cf3d7463"
  },
  {
   "cell_type": "markdown",
   "source": [
    "-----\n",
    "\n",
    "## References\n",
    "\n",
    "[1] Jean-Claude Bradley and Andrew Lang and Antony Williams, Jean-Claude Bradley Double Plus Good (Highly Curated\n",
    " and Validated) Melting Point Dataset, 2014, http://dx.doi.org/10.6084/m9.figshare.1031637\n",
    "\n",
    "[2] Feunang, Y., Eisner, R., Knox, C., Chepelev, L., Hastings, J., Owen, G., Fahy, E., Steinbeck, C., Subramanian, S., Bolton, E., Greiner, R., & Wishart, D. S. (2016). ClassyFire: automated chemical classification with a comprehensive, computable taxonomy. Journal of Cheminformatics, 8(1), 61. https://doi.org/10.1186/s13321-016-0174-y\n",
    "\n",
    "[3] Butina, D. (1999). Unsupervised Data Base Clustering Based on Daylight's Fingerprint and Tanimoto Similarity: A Fast and Automated Way To Cluster Small and Large Data Sets. Journal of Chemical Information and Computer Sciences, 39(4), 747-750. https://doi.org/10.1021/ci9803381\n",
    "\n",
    "[4] van der Maaten, L., & Hinton, G. (2008). Visualizing data using t-sne. Journal of Machine\n",
    " Learning Research, 9 (86), 2579–2605. http://jmlr.org/papers/v9/vandermaaten08a.html"
   ],
   "metadata": {
    "collapsed": false
   },
   "id": "7d897e365c1ce894"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "----\n",
    "Extra Code to generate PDFs:"
   ],
   "id": "d42f9c66c71db089"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-10T10:05:32.307746Z",
     "start_time": "2024-06-10T10:05:21.445964Z"
    }
   },
   "cell_type": "code",
   "source": [
    "#PDF conversion code\n",
    "!export PATH=/Library/TeX/texbin:$PATH\n",
    "!jupyter nbconvert 'GraPE-Chem Demonstration'.ipynb --to pdf --no-prompt"
   ],
   "id": "b0940a6b4da40419",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook GraPE-Chem Demonstration.ipynb to pdf\r\n",
      "[NbConvertApp] Support files will be in GraPE-Chem Demonstration_files/\r\n",
      "[NbConvertApp] Making directory ./GraPE-Chem Demonstration_files\r\n",
      "[NbConvertApp] Writing 80126 bytes to notebook.tex\r\n",
      "[NbConvertApp] Building PDF\r\n",
      "[NbConvertApp] Running xelatex 3 times: ['xelatex', 'notebook.tex', '-quiet']\r\n",
      "[NbConvertApp] Running bibtex 1 time: ['bibtex', 'notebook']\r\n",
      "[NbConvertApp] WARNING | bibtex had problems, most likely because there were no citations\r\n",
      "[NbConvertApp] PDF successfully created\r\n",
      "[NbConvertApp] Writing 663584 bytes to GraPE-Chem Demonstration.pdf\r\n"
     ]
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "848c0a5f344eafc2"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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 },
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