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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.7-final"
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  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python38764bitsurrogateoptime172a7b2c75d4817b747a7ff436f986e",
   "display_name": "Python 3.8.7 64-bit ('surrogate-optim')"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_folder = \"../data\"\n",
    "surrogate_data_folder = os.path.join(data_folder, \"surrogate\", \"data\")\n",
    "log_folder = os.path.join(data_folder, \"logs\")\n",
    "\n",
    "output_images_folder = 'images'\n",
    "if not os.path.exists(output_images_folder):\n",
    "    os.makedirs(output_images_folder)"
   ]
  },
  {
   "source": [
    "## What to display ?\n",
    "\n",
    "- **1. Curve of performance runs during search process (`surrogate/data`) :**\n",
    "    - best solution score (in means from 5 runs)\n",
    "    - comparisons of different orders\n",
    "    - comparisons of different LS iterations per orders\n",
    "    - extract times of computation (`data/logs`)\n",
    "    - surrogate model performance during training (r²)\n",
    "\n",
    "\n",
    "- **2. From only best last solutions found displays :**\n",
    "    - bar plot of best attribute selected for classification per order\n",
    "    - same for the two orders "
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "source": [
    "### 1. Curve of performances runs during search process (`surrogate/data`)"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fixed parameters\n",
    "ILS = 1000\n",
    "POP = 20\n",
    "N_RUNS = 5\n",
    "SS = 50 # start surrogate training after at least 50 real evaluations\n",
    "SE = 10 # train every 10 real evaluations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_params(filename):\n",
    "    #pop_size = filename.split('-')[2].replace('POP_', '')\n",
    "    ls_iter = filename.split('-')[3].replace('LS_', '')\n",
    "    s_order = filename.split('-')[5].replace('SO_', '')\n",
    "\n",
    "    return int(ls_iter), int(s_order)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "files = os.listdir(surrogate_data_folder)\n",
    "\n",
    "data_results = {}\n",
    "for i in range(1, N_RUNS + 1):\n",
    "    for run in [ f for f in files if f\"RUN_{i}_performance\" in f ]:\n",
    "        \n",
    "        key = extract_params(run)\n",
    "        if key not in data_results:\n",
    "            data_results[key] = []\n",
    "\n",
    "        # need to extract the 50 first solution found from surrogate data file\n",
    "        data_file = os.path.join(surrogate_data_folder, run.replace('_performance.csv', ''))\n",
    "\n",
    "        max_score = 0.\n",
    "        scores = []\n",
    "        with open(data_file, 'r') as f:\n",
    "            lines = f.readlines()\n",
    "\n",
    "            for line in lines[1:SS + 1]:\n",
    "                cscore = float(line.split(';')[-1])\n",
    "\n",
    "                if cscore > max_score:\n",
    "                    max_score = cscore\n",
    "                scores.append(max_score)\n",
    "        \n",
    "        with open(os.path.join(surrogate_data_folder, run), 'r') as f:\n",
    "            lines = f.readlines()\n",
    "\n",
    "            for index, line in enumerate(lines[:ILS - SS]):\n",
    "                #print(f'{index} => {run}')\n",
    "                #print(line)\n",
    "                cscore = float(line.split(';')[-2])\n",
    "\n",
    "                if cscore > max_score:\n",
    "                    max_score = cscore\n",
    "\n",
    "                scores.append(max_score)\n",
    "\n",
    "        # append run data into dictionnary with its key\n",
    "        data_results[key].append(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "(100, 1) has 5 runs\n(100, 2) has 5 runs\n(500, 1) has 5 runs\n(500, 2) has 5 runs\n(1000, 1) has 5 runs\n(1000, 2) has 5 runs\n"
     ]
    }
   ],
   "source": [
    "for k in sorted(data_results.keys()):\n",
    "    print(f'{k} has {len(data_results[k])} runs')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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112.912425 \nL 90.756035 111.936354 \nL 90.959147 111.936354 \nL 91.162259 111.936354 \nL 91.365372 111.936354 \nL 91.568484 111.404236 \nL 91.771596 111.404236 \nL 91.974708 111.404236 \nL 92.17782 111.301329 \nL 92.380933 111.301329 \nL 92.584045 111.26802 \nL 92.787157 110.984856 \nL 92.990269 110.560189 \nL 93.193381 110.560189 \nL 93.396494 110.343213 \nL 93.599606 110.343213 \nL 93.802718 109.727492 \nL 94.00583 109.727492 \nL 94.208942 109.727492 \nL 94.412055 109.727492 \nL 94.615167 109.056689 \nL 94.818279 108.778823 \nL 95.021391 108.778823 \nL 95.224503 108.778823 \nL 95.427616 109.185218 \nL 95.630728 108.510384 \nL 95.83384 108.510384 \nL 96.036952 108.510384 \nL 96.240064 108.510384 \nL 96.443177 108.510384 \nL 96.646289 108.510384 \nL 96.849401 108.510384 \nL 97.052513 108.510384 \nL 97.255626 108.510384 \nL 97.458738 108.510384 \nL 97.66185 108.510384 \nL 97.864962 108.510384 \nL 98.068074 108.510384 \nL 98.271187 108.510384 \nL 98.474299 106.371175 \nL 98.677411 106.371175 \nL 98.880523 103.094132 \nL 99.083635 102.257943 \nL 99.286748 102.257943 \nL 99.48986 102.257943 \nL 99.692972 102.257943 \nL 99.896084 102.257943 \nL 100.099196 102.290476 \nL 100.302309 102.290476 \nL 100.505421 102.290476 \nL 100.708533 101.594373 \nL 100.911645 99.581057 \nL 101.114757 99.581057 \nL 101.31787 99.581057 \nL 101.520982 99.581057 \nL 101.724094 99.581057 \nL 101.927206 99.581057 \nL 102.130318 99.581057 \nL 102.333431 99.581057 \nL 102.536543 99.581057 \nL 102.739655 99.581057 \nL 102.942767 99.581057 \nL 103.145879 99.324437 \nL 103.348992 99.26608 \nL 103.552104 97.698268 \nL 103.755216 97.665184 \nL 103.958328 97.392393 \nL 104.16144 97.392393 \nL 104.364553 97.392393 \nL 104.567665 96.032938 \nL 104.770777 96.032938 \nL 104.973889 96.032938 \nL 105.177001 95.011735 \nL 105.380114 95.011735 \nL 105.583226 95.011735 \nL 105.786338 95.011735 \nL 105.98945 95.011735 \nL 106.192562 95.011735 \nL 106.395675 94.919716 \nL 106.598787 94.919716 \nL 106.801899 94.919716 \nL 107.005011 94.919716 \nL 107.208123 94.919716 \nL 107.411236 94.919716 \nL 107.614348 94.919716 \nL 107.81746 94.919716 \nL 108.020572 94.919716 \nL 108.223684 94.906942 \nL 108.426797 94.906942 \nL 108.629909 94.906942 \nL 108.833021 94.906942 \nL 109.036133 94.386294 \nL 109.239245 94.386294 \nL 109.442358 94.386294 \nL 109.64547 94.386294 \nL 109.848582 94.386294 \nL 110.051694 94.386294 \nL 110.254807 94.386294 \nL 110.457919 94.386294 \nL 110.661031 94.386294 \nL 110.864143 94.386294 \nL 111.067255 94.3863 \nL 111.270368 91.661545 \nL 111.47348 91.34463 \nL 111.676592 91.334936 \nL 111.879704 91.334936 \nL 112.082816 91.334936 \nL 112.285929 91.334936 \nL 112.489041 91.334936 \nL 112.692153 91.334936 \nL 112.895265 91.334936 \nL 113.098377 91.334936 \nL 113.30149 91.334936 \nL 113.504602 91.334936 \nL 113.707714 91.334936 \nL 113.910826 91.334936 \nL 114.113938 91.334936 \nL 114.317051 91.334936 \nL 114.520163 91.334936 \nL 114.723275 91.334936 \nL 114.926387 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220.747845 40.026181 \nL 220.950957 40.026181 \nL 221.154069 39.916241 \nL 221.357182 39.916241 \nL 221.560294 39.916241 \nL 221.763406 39.916241 \nL 221.966518 39.916241 \nL 222.16963 39.916241 \nL 222.372743 39.916241 \nL 222.575855 39.916241 \nL 222.778967 39.916241 \nL 222.982079 39.916241 \nL 223.185191 39.916241 \nL 223.388304 39.916241 \nL 223.591416 39.916241 \nL 223.794528 39.916241 \nL 223.99764 39.916241 \nL 224.200752 39.916241 \nL 224.403865 39.916241 \nL 224.606977 39.916241 \nL 224.810089 39.916241 \nL 225.013201 39.916241 \nL 225.216313 39.916241 \nL 225.419426 39.916241 \nL 225.622538 39.916241 \nL 225.82565 39.916241 \nL 226.028762 39.916241 \nL 226.231874 39.916241 \nL 226.434987 39.916241 \nL 226.638099 39.916241 \nL 226.841211 39.916241 \nL 227.044323 39.916241 \nL 227.247436 39.916241 \nL 227.450548 39.137757 \nL 227.65366 39.137757 \nL 227.856772 39.137757 \nL 228.059884 39.137757 \nL 228.262997 39.137757 \nL 228.466109 39.149808 \nL 228.669221 39.149808 \nL 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245.121309 37.946047 \nL 245.324422 37.946047 \nL 245.527534 37.946047 \nL 245.730646 37.946047 \nL 245.933758 37.946047 \nL 246.13687 37.946047 \nL 246.339983 37.946047 \nL 246.543095 37.946047 \nL 246.746207 37.946047 \nL 246.949319 37.946047 \nL 247.152431 37.946047 \nL 247.355544 37.946047 \nL 247.558656 37.946047 \nL 247.761768 37.946047 \nL 247.96488 37.946047 \nL 248.167992 37.946047 \nL 248.371105 37.946047 \nL 248.574217 37.946047 \nL 248.777329 37.946047 \nL 248.980441 37.946047 \nL 249.183553 37.946047 \nL 249.386666 37.946047 \nL 249.589778 37.946047 \nL 249.79289 37.946047 \nL 249.996002 37.946047 \nL 250.199114 37.946047 \nL 250.402227 37.946047 \nL 250.605339 37.946047 \nL 250.808451 37.946047 \nL 251.011563 37.946047 \nL 251.214675 37.946047 \nL 251.417788 37.946047 \nL 251.6209 37.946047 \nL 251.824012 37.946047 \nL 252.027124 37.946047 \nL 252.230236 37.946047 \nL 252.433349 37.848192 \nL 252.636461 37.848192 \nL 252.839573 37.848192 \nL 253.042685 37.848192 \nL 253.245798 37.848192 \nL 253.44891 37.848192 \nL 253.652022 37.848192 \nL 253.855134 37.848192 \nL 254.058246 37.848192 \nL 254.261359 37.848192 \nL 254.464471 37.848192 \nL 254.667583 37.848192 \nL 254.870695 37.848192 \nL 255.073807 37.848192 \nL 255.27692 37.848192 \nL 255.480032 37.848192 \nL 255.683144 37.848192 \nL 255.886256 37.848192 \nL 256.089368 37.848192 \nL 256.292481 37.848192 \nL 256.495593 37.848192 \nL 256.698705 37.848192 \nL 256.901817 37.848192 \nL 257.104929 37.848192 \nL 257.308042 37.848192 \nL 257.511154 37.848192 \nL 257.714266 37.848192 \nL 257.917378 37.848192 \nL 258.12049 37.848192 \nL 258.323603 37.848192 \nL 258.526715 37.848192 \nL 258.729827 37.848192 \nL 258.932939 37.848192 \nL 259.136051 37.848192 \nL 259.339164 37.848192 \nL 259.542276 37.848192 \nL 259.745388 37.848192 \nL 259.9485 37.848192 \nL 260.151612 37.848192 \nL 260.354725 37.848192 \nL 260.557837 37.848192 \nL 260.760949 37.848192 \nL 260.964061 37.848192 \nL 261.167173 37.848192 \nL 261.370286 37.52034 \nL 261.573398 37.52034 \nL 261.77651 37.52034 \nL 261.979622 37.52034 \nL 262.182734 37.52034 \nL 262.385847 37.52034 \nL 262.588959 37.52034 \nL 262.792071 37.52034 \nL 262.995183 37.52034 \nL 263.198295 37.52034 \nL 263.198295 32.229033 \nL 263.198295 32.229033 \nL 262.995183 32.229033 \nL 262.792071 32.229033 \nL 262.588959 32.229033 \nL 262.385847 32.229033 \nL 262.182734 32.229033 \nL 261.979622 32.229033 \nL 261.77651 32.229033 \nL 261.573398 32.229033 \nL 261.370286 32.229033 \nL 261.167173 32.201761 \nL 260.964061 32.201761 \nL 260.760949 32.201761 \nL 260.557837 32.201761 \nL 260.354725 32.201761 \nL 260.151612 32.201761 \nL 259.9485 32.201761 \nL 259.745388 32.201761 \nL 259.542276 32.201761 \nL 259.339164 32.201761 \nL 259.136051 32.201761 \nL 258.932939 32.201761 \nL 258.729827 32.201761 \nL 258.526715 32.201761 \nL 258.323603 32.201761 \nL 258.12049 32.201761 \nL 257.917378 32.201761 \nL 257.714266 32.201761 \nL 257.511154 32.201761 \nL 257.308042 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32.952347 \nL 207.748664 32.952347 \nL 207.545552 32.952347 \nL 207.34244 32.952347 \nL 207.139327 32.952347 \nL 206.936215 32.952347 \nL 206.733103 32.952347 \nL 206.529991 32.952347 \nL 206.326879 32.952347 \nL 206.123766 32.952347 \nL 205.920654 32.952347 \nL 205.717542 32.952347 \nL 205.51443 32.952347 \nL 205.311318 32.952347 \nL 205.108205 32.952347 \nL 204.905093 32.952347 \nL 204.701981 32.952347 \nL 204.498869 32.952347 \nL 204.295757 32.952347 \nL 204.092644 32.952347 \nL 203.889532 32.952347 \nL 203.68642 32.952347 \nL 203.483308 32.952347 \nL 203.280196 32.952347 \nL 203.077083 32.952347 \nL 202.873971 32.952347 \nL 202.670859 32.952347 \nL 202.467747 32.952347 \nL 202.264635 32.952347 \nL 202.061522 32.952347 \nL 201.85841 32.952347 \nL 201.655298 32.952347 \nL 201.452186 32.952347 \nL 201.249074 32.952347 \nL 201.045961 32.952347 \nL 200.842849 32.952347 \nL 200.639737 32.952347 \nL 200.436625 32.952347 \nL 200.233512 32.952347 \nL 200.0304 32.952347 \nL 199.827288 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32.952347 \nL 191.499688 32.952347 \nL 191.296576 32.952347 \nL 191.093463 32.952347 \nL 190.890351 32.952347 \nL 190.687239 32.952347 \nL 190.484127 32.952347 \nL 190.281015 32.952347 \nL 190.077902 32.952347 \nL 189.87479 32.952347 \nL 189.671678 32.952347 \nL 189.468566 32.952347 \nL 189.265454 32.952347 \nL 189.062341 32.952347 \nL 188.859229 32.952347 \nL 188.656117 32.952347 \nL 188.453005 32.952347 \nL 188.249893 32.952347 \nL 188.04678 32.952347 \nL 187.843668 32.952347 \nL 187.640556 32.952347 \nL 187.437444 32.952347 \nL 187.234331 32.952347 \nL 187.031219 32.952347 \nL 186.828107 32.952347 \nL 186.624995 33.067329 \nL 186.421883 33.067329 \nL 186.21877 33.067329 \nL 186.015658 33.067329 \nL 185.812546 33.067329 \nL 185.609434 33.067329 \nL 185.406322 33.067329 \nL 185.203209 33.067329 \nL 185.000097 33.067329 \nL 184.796985 33.178212 \nL 184.593873 33.178212 \nL 184.390761 33.341573 \nL 184.187648 33.341573 \nL 183.984536 33.341573 \nL 183.781424 33.359088 \nL 183.578312 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33.233935 \nL 175.250712 33.233935 \nL 175.047599 33.233935 \nL 174.844487 33.233935 \nL 174.641375 33.233935 \nL 174.438263 33.233935 \nL 174.23515 33.233935 \nL 174.032038 33.233935 \nL 173.828926 33.233935 \nL 173.625814 33.233935 \nL 173.422702 33.233935 \nL 173.219589 33.233935 \nL 173.016477 33.233935 \nL 172.813365 33.825654 \nL 172.610253 33.825654 \nL 172.407141 33.825654 \nL 172.204028 33.898846 \nL 172.000916 34.071771 \nL 171.797804 34.071771 \nL 171.594692 34.071771 \nL 171.39158 34.071771 \nL 171.188467 34.071771 \nL 170.985355 34.071771 \nL 170.782243 34.071771 \nL 170.579131 34.071771 \nL 170.376019 34.071771 \nL 170.172906 34.071771 \nL 169.969794 34.071771 \nL 169.766682 34.071771 \nL 169.56357 34.071771 \nL 169.360458 34.071771 \nL 169.157345 34.071771 \nL 168.954233 34.071771 \nL 168.751121 34.1512 \nL 168.548009 34.1512 \nL 168.344897 34.1512 \nL 168.141784 34.1512 \nL 167.938672 34.1512 \nL 167.73556 34.341728 \nL 167.532448 34.341728 \nL 167.329336 34.341728 \nL 167.126223 34.341728 \nL 166.923111 34.341728 \nL 166.719999 34.341728 \nL 166.516887 34.341728 \nL 166.313775 34.341728 \nL 166.110662 34.341728 \nL 165.90755 34.341728 \nL 165.704438 34.341728 \nL 165.501326 34.341728 \nL 165.298214 34.341728 \nL 165.095101 34.341728 \nL 164.891989 34.341728 \nL 164.688877 34.341728 \nL 164.485765 34.341728 \nL 164.282653 34.341728 \nL 164.07954 34.341728 \nL 163.876428 34.341728 \nL 163.673316 34.341728 \nL 163.470204 34.341728 \nL 163.267092 34.341728 \nL 163.063979 34.341728 \nL 162.860867 34.341728 \nL 162.657755 34.341728 \nL 162.454643 34.341728 \nL 162.251531 34.341728 \nL 162.048418 34.341728 \nL 161.845306 34.341728 \nL 161.642194 34.341728 \nL 161.439082 34.341728 \nL 161.235969 34.341728 \nL 161.032857 34.341728 \nL 160.829745 34.65535 \nL 160.626633 34.65535 \nL 160.423521 34.65535 \nL 160.220408 34.65535 \nL 160.017296 34.65535 \nL 159.814184 34.65535 \nL 159.611072 34.65535 \nL 159.40796 34.65535 \nL 159.204847 34.65535 \nL 159.001735 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39.605742 \nL 142.346535 39.605742 \nL 142.143422 39.605742 \nL 141.94031 39.605742 \nL 141.737198 39.605742 \nL 141.534086 39.542901 \nL 141.330974 39.542901 \nL 141.127861 39.542901 \nL 140.924749 39.967068 \nL 140.721637 39.967068 \nL 140.518525 39.967068 \nL 140.315413 39.967068 \nL 140.1123 39.967068 \nL 139.909188 39.967068 \nL 139.706076 39.967068 \nL 139.502964 39.967068 \nL 139.299852 39.967068 \nL 139.096739 39.967068 \nL 138.893627 40.262416 \nL 138.690515 40.262416 \nL 138.487403 40.262416 \nL 138.284291 40.262416 \nL 138.081178 40.262416 \nL 137.878066 40.262416 \nL 137.674954 40.262416 \nL 137.471842 40.262416 \nL 137.26873 41.471843 \nL 137.065617 41.471843 \nL 136.862505 41.498311 \nL 136.659393 41.753057 \nL 136.456281 41.753057 \nL 136.253169 41.753057 \nL 136.050056 41.753057 \nL 135.846944 41.753057 \nL 135.643832 42.238629 \nL 135.44072 42.238629 \nL 135.237607 42.238629 \nL 135.034495 42.238629 \nL 134.831383 42.238629 \nL 134.628271 42.238629 \nL 134.425159 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126.097558 43.151495 \nL 125.894446 43.151495 \nL 125.691334 43.151495 \nL 125.488222 43.151495 \nL 125.28511 45.856073 \nL 125.081997 45.856073 \nL 124.878885 45.856073 \nL 124.675773 48.116189 \nL 124.472661 48.381792 \nL 124.269549 48.381792 \nL 124.066436 48.352422 \nL 123.863324 49.415319 \nL 123.660212 49.415319 \nL 123.4571 51.03542 \nL 123.253988 51.03542 \nL 123.050875 51.03542 \nL 122.847763 51.03542 \nL 122.644651 51.03542 \nL 122.441539 51.03542 \nL 122.238426 51.03542 \nL 122.035314 51.03542 \nL 121.832202 51.03542 \nL 121.62909 51.03542 \nL 121.425978 51.03542 \nL 121.222865 51.283143 \nL 121.019753 51.283143 \nL 120.816641 51.283143 \nL 120.613529 51.283143 \nL 120.410417 51.283143 \nL 120.207304 51.209809 \nL 120.004192 52.048035 \nL 119.80108 52.048035 \nL 119.597968 54.416032 \nL 119.394856 54.416032 \nL 119.191743 54.416032 \nL 118.988631 54.77661 \nL 118.785519 54.77661 \nL 118.582407 54.77661 \nL 118.379295 54.77661 \nL 118.176182 54.77661 \nL 117.97307 54.77661 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\n"
     },
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32.201761 \nL 246.13687 32.201761 \nL 245.933758 32.201761 \nL 245.730646 32.201761 \nL 245.527534 32.201761 \nL 245.324422 32.201761 \nL 245.121309 32.201761 \nL 244.918197 32.201761 \nL 244.715085 32.201761 \nL 244.511973 32.201761 \nL 244.308861 32.201761 \nL 244.105748 32.201761 \nL 243.902636 32.201761 \nL 243.699524 32.201761 \nL 243.496412 32.201761 \nL 243.2933 32.201761 \nL 243.090187 32.201761 \nL 242.887075 32.201761 \nL 242.683963 32.201761 \nL 242.480851 32.201761 \nL 242.277739 32.201761 \nL 242.074626 32.201761 \nL 241.871514 32.201761 \nL 241.668402 32.201761 \nL 241.46529 32.201761 \nL 241.262178 32.201761 \nL 241.059065 32.201761 \nL 240.855953 32.201761 \nL 240.652841 32.201761 \nL 240.449729 32.201761 \nL 240.246617 32.349051 \nL 240.043504 32.349051 \nL 239.840392 32.349051 \nL 239.63728 32.349051 \nL 239.434168 32.349051 \nL 239.231055 32.718093 \nL 239.027943 32.718093 \nL 238.824831 32.718093 \nL 238.621719 32.718093 \nL 238.418607 32.718093 \nL 238.215494 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213.638918 35.720682 \nL 213.435806 36.372914 \nL 213.232693 36.372914 \nL 213.029581 36.372914 \nL 212.826469 36.372914 \nL 212.623357 36.452102 \nL 212.420245 36.452102 \nL 212.217132 36.962524 \nL 212.01402 36.962524 \nL 211.810908 37.185539 \nL 211.607796 37.185539 \nL 211.404684 37.185539 \nL 211.201571 37.185539 \nL 210.998459 37.185539 \nL 210.795347 37.185539 \nL 210.592235 37.185539 \nL 210.389123 37.185539 \nL 210.18601 37.881737 \nL 209.982898 37.881737 \nL 209.779786 37.881737 \nL 209.576674 37.881737 \nL 209.373562 37.881737 \nL 209.170449 37.881737 \nL 208.967337 37.881737 \nL 208.764225 37.881737 \nL 208.561113 37.881737 \nL 208.358001 38.100779 \nL 208.154888 38.100779 \nL 207.951776 38.100779 \nL 207.748664 38.100779 \nL 207.545552 38.100779 \nL 207.34244 38.100779 \nL 207.139327 38.100779 \nL 206.936215 38.100779 \nL 206.733103 38.100779 \nL 206.529991 38.100779 \nL 206.326879 38.100779 \nL 206.123766 38.100779 \nL 205.920654 38.100779 \nL 205.717542 38.100779 \nL 205.51443 38.100779 \nL 205.311318 38.100779 \nL 205.108205 38.100779 \nL 204.905093 38.100779 \nL 204.701981 38.100779 \nL 204.498869 38.100779 \nL 204.295757 38.100779 \nL 204.092644 38.100779 \nL 203.889532 38.100779 \nL 203.68642 38.380254 \nL 203.483308 38.380254 \nL 203.280196 38.380254 \nL 203.077083 38.380254 \nL 202.873971 38.380254 \nL 202.670859 38.380254 \nL 202.467747 38.380254 \nL 202.264635 38.380254 \nL 202.061522 38.380254 \nL 201.85841 38.380254 \nL 201.655298 38.380254 \nL 201.452186 38.380254 \nL 201.249074 38.380254 \nL 201.045961 38.380254 \nL 200.842849 38.380254 \nL 200.639737 38.380254 \nL 200.436625 38.380254 \nL 200.233512 38.380254 \nL 200.0304 38.380254 \nL 199.827288 38.380254 \nL 199.624176 38.380254 \nL 199.421064 38.380254 \nL 199.217951 38.380254 \nL 199.014839 38.537276 \nL 198.811727 38.537276 \nL 198.608615 38.537276 \nL 198.405503 38.537276 \nL 198.20239 38.537276 \nL 197.999278 38.537276 \nL 197.796166 38.537276 \nL 197.593054 38.537276 \nL 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     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 400x400 with 0 Axes>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "n_LS = 100\n",
    "\n",
    "for n_LS in [100, 500, 1000]:\n",
    "    fig = plt.figure(dpi=100, figsize=(4, 4))\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.set_title(f'Surroggate - LS {n_LS}')\n",
    "\n",
    "    for k in sorted(data_results.keys()):\n",
    "        ls_iter, order = k\n",
    "\n",
    "        if ls_iter == n_LS:\n",
    "            \n",
    "            data = np.array(data_results[k])\n",
    "\n",
    "            means = data.mean(axis=0)\n",
    "            confidences = (1.9 * data.std(axis=0)) / np.sqrt(N_RUNS)\n",
    "            \n",
    "            ax.plot(means, label=f'order {order}')\n",
    "            ax.fill_between(np.arange(1000), means-confidences, means+confidences, alpha=.25)\n",
    "\n",
    "    ax.grid()\n",
    "    ax.legend(loc=4)\n",
    "    ax.set_ylabel('AUC ROC')\n",
    "    ax.set_xlabel('Iteration')\n",
    "    # ax.set_yscale('log')\n",
    "    fig.savefig(os.path.join(output_images_folder, f'out_performance_LS-{n_LS}.pdf'), format='pdf', bbox_inches='tight')\n",
    "    #plt.show()\n",
    "fig.clf()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 400x400 with 1 Axes>",
      "image/svg+xml": "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n<!-- Created with matplotlib (https://matplotlib.org/) -->\n<svg height=\"277.314375pt\" version=\"1.1\" viewBox=\"0 0 283.326408 277.314375\" width=\"283.326408pt\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n <metadata>\n  <rdf:RDF xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n   <cc:Work>\n    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n    <dc:date>2021-08-25T10:01:05.844570</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.3.4, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style 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95.332305 \nL 88.724913 95.332305 \nL 88.928025 95.332305 \nL 89.131137 95.193531 \nL 89.33425 95.193531 \nL 89.537362 95.193531 \nL 89.740474 95.193531 \nL 89.943586 92.570323 \nL 90.146698 92.570323 \nL 90.349811 92.532783 \nL 90.552923 92.532783 \nL 90.756035 92.532783 \nL 90.959147 87.985987 \nL 91.162259 87.985987 \nL 91.365372 88.439025 \nL 91.568484 88.439025 \nL 91.771596 84.311353 \nL 91.974708 84.311353 \nL 92.17782 83.519426 \nL 92.380933 83.519426 \nL 92.584045 83.519426 \nL 92.787157 83.519426 \nL 92.990269 83.519426 \nL 93.193381 83.519426 \nL 93.396494 83.519426 \nL 93.599606 83.519426 \nL 93.802718 83.427526 \nL 94.00583 83.427526 \nL 94.208942 83.327827 \nL 94.412055 83.289965 \nL 94.615167 83.289965 \nL 94.818279 81.787133 \nL 95.021391 81.787133 \nL 95.224503 81.787133 \nL 95.427616 81.787133 \nL 95.630728 81.787133 \nL 95.83384 81.787133 \nL 96.036952 81.787133 \nL 96.240064 81.876745 \nL 96.443177 81.876745 \nL 96.646289 81.876745 \nL 96.849401 81.876745 \nL 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198.405503 34.070993 \nL 198.20239 34.070993 \nL 197.999278 34.070993 \nL 197.796166 34.070993 \nL 197.593054 34.070993 \nL 197.389942 34.070993 \nL 197.186829 34.070993 \nL 196.983717 34.070993 \nL 196.780605 34.070993 \nL 196.577493 35.245226 \nL 196.374381 35.245226 \nL 196.171268 35.245226 \nL 195.968156 35.245226 \nL 195.765044 35.245226 \nL 195.561932 35.245226 \nL 195.35882 35.245226 \nL 195.155707 35.245226 \nL 194.952595 35.215286 \nL 194.749483 35.215286 \nL 194.546371 35.215286 \nL 194.343259 35.215286 \nL 194.140146 35.215286 \nL 193.937034 35.215286 \nL 193.733922 35.215286 \nL 193.53081 35.215286 \nL 193.327698 35.215286 \nL 193.124585 35.215286 \nL 192.921473 35.215286 \nL 192.718361 35.215286 \nL 192.515249 35.215286 \nL 192.312137 35.215286 \nL 192.109024 35.215286 \nL 191.905912 35.215286 \nL 191.7028 35.215286 \nL 191.499688 35.215286 \nL 191.296576 35.215286 \nL 191.093463 35.215286 \nL 190.890351 35.215286 \nL 190.687239 35.215286 \nL 190.484127 35.215286 \nL 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182.156526 35.215286 \nL 181.953414 35.215286 \nL 181.750302 35.215286 \nL 181.54719 35.215286 \nL 181.344078 35.215286 \nL 181.140965 35.215286 \nL 180.937853 35.215286 \nL 180.734741 35.215286 \nL 180.531629 35.215286 \nL 180.328517 35.215286 \nL 180.125404 35.215286 \nL 179.922292 35.215286 \nL 179.71918 35.215286 \nL 179.516068 35.215286 \nL 179.312956 35.215286 \nL 179.109843 35.215286 \nL 178.906731 35.215286 \nL 178.703619 35.215286 \nL 178.500507 35.215286 \nL 178.297395 35.215286 \nL 178.094282 35.215286 \nL 177.89117 35.215286 \nL 177.688058 35.215286 \nL 177.484946 35.215286 \nL 177.281834 35.215286 \nL 177.078721 35.215286 \nL 176.875609 35.215286 \nL 176.672497 35.215286 \nL 176.469385 35.215286 \nL 176.266273 35.215286 \nL 176.06316 35.215286 \nL 175.860048 35.215286 \nL 175.656936 35.215286 \nL 175.453824 35.215286 \nL 175.250712 35.215286 \nL 175.047599 35.215286 \nL 174.844487 35.215286 \nL 174.641375 35.215286 \nL 174.438263 35.215286 \nL 174.23515 35.215286 \nL 174.032038 35.289241 \nL 173.828926 35.387582 \nL 173.625814 35.387582 \nL 173.422702 35.387582 \nL 173.219589 35.387582 \nL 173.016477 35.387582 \nL 172.813365 35.387582 \nL 172.610253 35.387582 \nL 172.407141 35.387582 \nL 172.204028 35.387582 \nL 172.000916 35.387582 \nL 171.797804 35.387582 \nL 171.594692 35.387582 \nL 171.39158 35.387582 \nL 171.188467 35.387582 \nL 170.985355 35.387582 \nL 170.782243 35.387582 \nL 170.579131 35.387582 \nL 170.376019 35.387582 \nL 170.172906 35.387582 \nL 169.969794 35.387582 \nL 169.766682 35.387582 \nL 169.56357 35.387582 \nL 169.360458 35.387582 \nL 169.157345 35.387582 \nL 168.954233 35.387582 \nL 168.751121 35.387582 \nL 168.548009 35.387582 \nL 168.344897 35.387582 \nL 168.141784 35.387582 \nL 167.938672 35.387582 \nL 167.73556 37.149989 \nL 167.532448 37.149989 \nL 167.329336 37.149989 \nL 167.126223 37.149989 \nL 166.923111 37.149989 \nL 166.719999 37.149989 \nL 166.516887 37.149989 \nL 166.313775 37.149989 \nL 166.110662 37.149989 \nL 165.90755 37.149989 \nL 165.704438 37.149989 \nL 165.501326 37.149989 \nL 165.298214 37.149989 \nL 165.095101 37.149989 \nL 164.891989 37.149989 \nL 164.688877 37.149989 \nL 164.485765 37.149989 \nL 164.282653 37.149989 \nL 164.07954 37.149989 \nL 163.876428 37.149989 \nL 163.673316 37.149989 \nL 163.470204 37.149989 \nL 163.267092 37.149989 \nL 163.063979 37.149989 \nL 162.860867 37.149989 \nL 162.657755 37.149989 \nL 162.454643 37.149989 \nL 162.251531 37.149989 \nL 162.048418 37.149989 \nL 161.845306 37.149989 \nL 161.642194 37.149989 \nL 161.439082 37.149989 \nL 161.235969 37.149989 \nL 161.032857 37.149989 \nL 160.829745 37.149989 \nL 160.626633 37.149989 \nL 160.423521 37.149989 \nL 160.220408 37.149989 \nL 160.017296 37.149989 \nL 159.814184 37.149989 \nL 159.611072 37.149989 \nL 159.40796 37.149989 \nL 159.204847 37.149989 \nL 159.001735 37.149989 \nL 158.798623 37.149989 \nL 158.595511 37.149989 \nL 158.392399 37.149989 \nL 158.189286 37.149989 \nL 157.986174 37.149989 \nL 157.783062 37.149989 \nL 157.57995 37.149989 \nL 157.376838 37.149989 \nL 157.173725 37.149989 \nL 156.970613 37.149989 \nL 156.767501 37.149989 \nL 156.564389 37.149989 \nL 156.361277 37.149989 \nL 156.158164 37.149989 \nL 155.955052 37.149989 \nL 155.75194 37.149989 \nL 155.548828 37.149989 \nL 155.345716 37.149989 \nL 155.142603 37.149989 \nL 154.939491 37.149989 \nL 154.736379 37.149989 \nL 154.533267 37.149989 \nL 154.330155 37.149989 \nL 154.127042 37.149989 \nL 153.92393 37.149989 \nL 153.720818 37.149989 \nL 153.517706 37.149989 \nL 153.314594 37.149989 \nL 153.111481 37.149989 \nL 152.908369 37.149989 \nL 152.705257 37.72788 \nL 152.502145 37.72788 \nL 152.299033 37.72788 \nL 152.09592 37.72788 \nL 151.892808 37.72788 \nL 151.689696 37.72788 \nL 151.486584 37.72788 \nL 151.283472 37.72788 \nL 151.080359 37.72788 \nL 150.877247 37.72788 \nL 150.674135 37.72788 \nL 150.471023 37.72788 \nL 150.267911 37.72788 \nL 150.064798 37.72788 \nL 149.861686 37.72788 \nL 149.658574 37.72788 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148.439901 108.899391 \nL 148.643013 108.852347 \nL 148.846125 108.852347 \nL 149.049237 108.852347 \nL 149.25235 108.852347 \nL 149.455462 108.852347 \nL 149.658574 108.852347 \nL 149.861686 108.869523 \nL 150.064798 108.876532 \nL 150.267911 108.647557 \nL 150.471023 108.647557 \nL 150.674135 108.647557 \nL 150.877247 108.647557 \nL 151.080359 108.647557 \nL 151.283472 108.647557 \nL 151.486584 108.647557 \nL 151.689696 108.647557 \nL 151.892808 108.647557 \nL 152.09592 108.647557 \nL 152.299033 108.647557 \nL 152.502145 108.647557 \nL 152.705257 108.647557 \nL 152.908369 108.647557 \nL 153.111481 108.647557 \nL 153.314594 108.647557 \nL 153.517706 108.647557 \nL 153.720818 108.647557 \nL 153.92393 108.647557 \nL 154.127042 108.647557 \nL 154.330155 108.647557 \nL 154.533267 108.647557 \nL 154.736379 108.647557 \nL 154.939491 108.647557 \nL 155.142603 108.691786 \nL 155.345716 108.691786 \nL 155.548828 104.669132 \nL 155.75194 104.669132 \nL 155.955052 104.669132 \nL 156.158164 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261.77651 86.385004 \nL 261.979622 86.385004 \nL 262.182734 86.385004 \nL 262.385847 86.385004 \nL 262.588959 86.385004 \nL 262.792071 86.385004 \nL 262.995183 86.385004 \nL 263.198295 86.385004 \nL 263.198295 47.602077 \nL 263.198295 47.602077 \nL 262.995183 47.602077 \nL 262.792071 47.602077 \nL 262.588959 47.602077 \nL 262.385847 47.602077 \nL 262.182734 47.602077 \nL 261.979622 47.602077 \nL 261.77651 47.602077 \nL 261.573398 47.602077 \nL 261.370286 47.602077 \nL 261.167173 47.602077 \nL 260.964061 47.602077 \nL 260.760949 47.602077 \nL 260.557837 47.602077 \nL 260.354725 47.602077 \nL 260.151612 47.602077 \nL 259.9485 47.602077 \nL 259.745388 47.602077 \nL 259.542276 47.602077 \nL 259.339164 47.602077 \nL 259.136051 47.602077 \nL 258.932939 47.602077 \nL 258.729827 47.602077 \nL 258.526715 47.602077 \nL 258.323603 47.602077 \nL 258.12049 47.602077 \nL 257.917378 47.602077 \nL 257.714266 47.602077 \nL 257.511154 47.602077 \nL 257.308042 47.602077 \nL 257.104929 47.602077 \nL 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A8aFKv1WVo+50i7vXIvW9u9fiz5tb2d6WffplLJy2cCpnLGwaczlOIs6eTqXxoNqSnIox8o/9SozRU0ILziue3sTKV5JW0n5cF2Cj54Ijm8dcpyTV4SB/Nb9x+IyGUQBMJIxRUyohBFS1XyD8PqHS73DErAbKAn5EpH/KRUT6Yyj40tJF3LSygI9li5qpCtufllEa2C/ZGDVaIkOJV1s6+99/7/Kj6Nv4PI2Hz7PpGGPU+GI9iOZmyKHiz+5PJrXs/TwTFRb7KzBGTansb9i8byCgT3U4yNA7PQxjCJw4wb5Wwh0bES1MZ67j7EHSRMIYNSWiEbR57iKWLUp3HmwYueGP91Le/maxq5FXTCSMUeNMkEUJVeWtPd10eWa40YTDnq6+/UY6CUfZ3dVHXyxB3Iv70BdP9E831VeOz2Yvo3TJdYppMmAiYUx6nt3UyjdXvTamMsJBH0vmNeSpRsYBi1N6+4VMJIxRU8w1iVjC4YXNbfTGEqzZuA9w/eVMqQj2v68K7x9kpTLkp7GqjIBfCPh8hAI+Qn7hkKYqplaHSzgucnEJB339m/0KTSLuYw/QUBnCHxjfLs4vPkLRAKGAn4C/MJsLE+rnzV3jt3JmImGMmmJZN+3siHDTb19le5rfoEuOnck5i/K3P2EyEQqMLIqeIz4vvw+f3zeme5YFfPh9QlVZgJrywYIc8vsIBwfKH8/d2LFYjA3A/KaqwkZPjPZA6uJ0tAsSXTClonD3BGI6tu8tV0wkjFEzXiOJ37+6i1/8ZSsJx5WlthS3F2UBH4dPr6E6HGDpvNLccDatpoyDhuh4RCA4wg4/FouxfR0cPauupMLPjpiefZCIelvmvfUDdcBJkLMpRsf20jHxGwITCWPUOOPwB7KjrZcfPvlWxnOXHncQFx89E59v4vgMCvol7xvpplSECAXG9+mxZNn7BsTNyDkXTCSMUTMez1B3Pb2p//1XLz4Sn08QXId2hew43R3UUJZj/IPGqtCQT/1GEVCFSLsJxCgxkTBGzXiMtPd60c0uescM5k2tKui9DppSjl8c9qyHEw6uPzCnY0qR7t2wu3Sj1BUaEwljWBxH6YrG6Ys59ETcJ7Ftrb20947NEujN3V38/LktJIbYb9HS4S5On7pg6pjuNRKmVpfhH2eXB0aBifVC+5Zi12JSYyJhDMtbe7r6I84lTUS3tfUO8m0USzisfnMvPUMGf1e2tvbS2hMjlnBYt619RPcPB300FHijWyjgoyzgIx43kSgpettcKyRj1JhIGPuhqv1B7B1l2JCkHb0xHnhhG795qWVU9/vbE2fTWJVdBObUVxIucGzkmnDAguaUIglbgxgrJhJGP/GEw6stnTiqdPcN717AUeXhdTv46ZrBQdmXDrFzOeAXZk2poKY8gN/nY/HMWmrLiz/3759AFlJGHknkL0rggYqJxAHO23u76YzEUYWeaHzEMSIisQRf/PUrgzyoNlWXcd0FhzOtJlyg2haOgM9MTEuSxNCjYGN4TCQOYCKxBDs7+oZcOM7Gs5ta+wWiMuTnhncvpmkSikMS04gSxUxex4yJxAFMTzQxKoEA6IkNTEf96O+Pn/Tz+SPdsTxhUfV2DQ9D0jdVIu5uBPGNLNDNpMWmm8aMicQBTGdk9H9A8YQrLqcc0jjpBUIEajI4A5wUtG+Dvg6I9YzMisf73tj6LPjFE4i076+6GSRNNEXAF3T9E0W78lL1MRGPZve4mmzj26vdNhpjwkTiACbVB1KuxL0RSGCCLPiGAkJZYMACqq4imHExuiIUoCzg66+33yeTW+S6d0HfGDptVfbbO9+xfUxVMkoLE4kDmGhi9HsC+kVigjypTa0KM7vhAHKHEe+Dbc+PbIrJKChtsS429+4uWPnpE8I+gsD4/dZNJA5Q2nti/VNGoyHhCcxEsQoqC06MehScvk5o2wJOzASiyPQmoigO7fEe+pzxW/sY78cyE4kDlN7Y2DqYiTCSmNNQwdTqMoQDaJ9DtBt69ha7FiVDXBO0xbpxNPOouiPeQyxDSFJVpTsRyXBF6WEicYASG8NUExR/TeKgKeVMrS6bdFZJjjokNIGO1jtitNsdRYySmPe9RZ0YmuNaTHeij9ZY56C0hCrRcXyKTsVRRVEcdJC3SccBmMK6jreGNG1WwEGzCoThYiJR4qhqf4fuqKIKG1o68zaS8I/TdNPMuvL+KSWfCFOry8blvvliX2Qfjjrsi+yjvW9kPqsGF/CWZ9GTGAiWMwocR4AGXup8G5+vNAPmOOqKX0wdfAdAUKBCYyJR4rT2xNjQ0jl8xhxJrmeM10hi5pTyCT2lFEvEiGV5ok5ogjfb3hzjDSLZTT4No4CYSJQwCUfZ0d5bkLLjjrdwPQ5rEtnMWScSW7u2sqd3T+FuMIbRgzHx8cd6qWzdwkhCeQkBoh2VwAUFrxeYSJQ0sYRDxxhjPqQSdxz6YgkiCdjW5i7ajcdIYkZtecHvMRZ64710RvM/Wusn2ntAxFIuBco7tlPX8goVbVuRHNY6prS8lNN9DsFPgk/nWr1RYSJRwox1cTrJ2i1t/Grtdt7Y1eXtrQgA7u7e4DjEXp4gVrZZ6Y5101dIl9TduwpXtpE3yrr3csTvv4GMIbBvb/U0VIZziy9EY0EqR32X3DCRKFEcR4nExi4Sb+/t5uu/fTXjuUObqjh+Tv2Y7zEcE2UvRjZGbak08hsUtnwjL1TtfatfIPYcdBxdDXPJZVdD15Q59NbOGDafEGTb5tpxmmwykShZtrf3smVfbusRv3phG8+93Up7b4w9Xe6Tcar/v4+fcQjHHFRN62vP0njYiZSFChstLskE14hxMKE0kcgHkohS2bYN0QSoIp5LEl8iSrhrF77EyKdmK9q3UtGxo1/ARROEIh0A7J15DBuPe38hmlAUTCRKlJE+fPZE40RiDu29MX72bOZYwAc3VHD12QuYVhPGScQJ+vLnNTXoFwLDlDXhRxLWiU9oxIlTs/t15j/3Y/wFdh3u+ALsm/GOgt5jvDGROID57Us7uHv124PSasuDfOSd82iuDVPuhQytKw/iK8ACtQgc2lRNbcUk9cDqUfjpJtvsNVrqt/6Z+c//ZFBatKyaeKiy3wOuipAIVhCpmppT2d21M+mpPaj/OBEM05djGZOBoouEiFwFfApoBtYCn1DVZ7LkfRw4LcOph1X1Qi9PFfB14GKgAdgIfEdVb8975Scww/VbkVhikECEgz6mVod51ztmcNycKTndK+gXQgEfjg7fYQb9PmrLXZPWoN836QUCxmMkYSOV0RDu2jVIINobD2Xv7BPYO+v4ItZq8lFUkRCRy4BbgY8Ca4CrgUdEZKGqZjLpeA+QOhHegCss96ek3QqcCfwdsAlYBnxfRLar6q/y3YaJynAd16a93f3vf/SB46kKj/6nML2unJl1E9tMtZAUfE3CNGJU1O1a3/9+3RmfJlLTXMTaTF6KPZK4FviRqq4AEJGPAhcCH8IdDQxCVfelHovI5bi2mKkicTJwt6o+7h3/UET+CTgROHBEYpiOpavPXaSb01AxJoGY3VDBtEnmIiPf2EhiYhKMuO5PWuafVjCBcFR5Yt862uM9GUfR2v9/pnM6KFPyWNNyDUpTAB/dvWEuKPXNdCISAo4DvpZMU1VHRFYBS0dYzHLgXlXtTkl7GrhIRP4L2A6cDiwArhmiLmVAak9XDRCLxYjFRu68LJk3l2sKRTwexxnCWqOz1w0QXxsODJkvnWReJxGnriJIQ7kfdRLESsRt9Wi+w0QsgRMv4Ggi4YCTnzUhxyvHyVN5E5Fk24K9rrVRX1ntqNqrquyMthHPsNv97d6dvNWzgxc7N9IaH/9IfX78Ofczo+2XijmSaAT8wM609J3AYcNdLCInAkfiCkUqnwB+CGwF4oADfERVnxiiuM8CX0hPfPTRR6moyD24x8qVK3O+Zrz59Vo/IAT72tiz/k85X7/vtefYB7yR95pNDCbWd1id9xJ3bS/8/pbxwlEHByftaT1GpKObXhG2djexbUvVoGuSeX8f+T3P9D2Dw/4in2DkDz6CcELoBCTDvoj0tIx5ZAR5UtIEyfk32tMzgvC2GSj2dNNYWA6sy7DI/QlgCXAR8DZwKvA9b01iVZayvoa7lpGkGti6bNkyampqRlyhWCzGypUrOeeccwgGi7sg+9bu7v69Duns7YqybfWLAMw5aCaNh88ccblOIs6+156jfsHxTJ9SxZwSiwY3mu9wc8fmwvpt2vu66wE2DziOsGt7PU0z9uXsBTbuJOjTwU+je6LttMcHBvKpMy5DTcNlmlLpf6dZJmlSCt8b62BLZDf7Yl1s7N1JVDOMhqcCU2cBj0L7o1nrMhzV/nLSN8UFxMeiqjlMDdUS9gU5ZcqRhP3js29ICLBja23O/UxHR8eo7ldMkdgDJIBpaenTgJahLhSRSuBy4PNp6eXADcC7VfXXXvKLInI08G9ARpFQ1T6gv0dNqnowGBxVZz/a6/KJP+DH58/89b66q7X//buPm4VvFPsQfP4AwWCg6O0sFNm+Q0ed/eaexS/4RuiexFGHrZ1b2RvJIXBQ+9a8eYB1VGiLVbOjqxOfjFwkdkbb+PmOJ/NSh4mEIBxaOYPls5bhZ//vsCpQTsg30m5yfNaOknKVaz8z2r/VoomEqkZF5HngLOABABHxece3DXP5pbhrCD9JSw96r/SxYwIy/AJKmKEWrnuj7jD6+DlTxrRRzZdj0Jp8knASxJwYIoIgxJ04iUwRxHL8w43H3M64M9pJQAPs7d1La2RAVDPdYyRs7dzKfRvuY0PrBuITweV39/BZRkJAlTmxGOUpP7hU7RnqFyJZ32vWfKlMjyc4si/KtHickyIRfDqQN/l/b9U0Xj31X1DfgD+k5LSN4D4QBob1lXRgU+zppluBu0XkOeAZXBPYSiBp7fRjYJuqfjbtuuXAA6o66HFMVTtE5A/AzSLSizvddBrw97iWVAcMQ3WN3Z5IVIfHNgoookawq2cXW7u25r3c5AL0662vj3h00BPr4antTxGJD4SzTLVcWbl5Jd2xwb1yc2UzlcERumiL9pK3p1SFaDRAKBTPKVhyZdsWyhNxrtnXSnjhRbQ3LQBxu1ufJD8nGfSf7neD5HlJViXjdekV2z+C3uBywF0bS97PUWHXtnqaZrZCMEBIDqjnw7xTVJFQ1ftEZCrwJdzNdC8A56lqcjF7NmmjAhFZCJyCu/8hE5fjrjH8FKjHFYr/AGwzHdAZifHbl93ZvMqysT1BpS+2DV0fN9Skb4R/sHEnzuutr2cdCUQT+Zmjzwer3l7FA28+MKK871v4Pk476DTKA+WQSEBSPPo6s8eMiLTnzcmf4wgtWxtoPmhvxjWJ8o7tNGx53vNrNMC0bTsQlA1L/4l9TQvzUpdC4ThC3F+OE+jJaUrNyEyxRxKo6m1kmV5S1dMzpG1giGcgVW0B/iFf9ZusZOtc7/zjRjp63cXH6rKxff25eOrY2bOTnT07qQ5W46hDZ2zo+AuqOuqpnfEmub4wt3Yus6tn96dL0izYF2BRwyKObjqaQHJ+u6/LDUk6wZj94i+p2Zs5il48EKZj6oJxrpFRbIouEkZhcDKY7Udiif6d1tNqyjjl0LH5mcm0JpFwEv0BeKJOtH83cmuklWgiyt5EDgu2k4FYLz09rmXTybWHcda0EwbOOTHX71JyPrx108C5RPH30gCEO3cOcnpX3uUO4nfPPtH1b5RCe9PC4s4xGkXBRKJEUZSeaJwbf/sqe7qixBMOHZGBBdP/uOBw6ivHZrIXdSKs2/16Wlp0HFxnF5m+Lujd5ypxvJfOqGtaWKkKfaMzMxwNFW1baX7j9/gSMcq694zYw2ki4cf/aoJgXye+LIvoWxddSLws//szjMmHiUSJogrrtrXz2s7Bu0H9Iiw+qJaGqtxcafh9QnU4QEUgyB4gEN5DZ9xPJBEZ9tqSQhU6toHXIW/u3c1r3dsAqPAX3j2JJKL4YxEOWv8bpm5ek5cyY2XVOClmnh1TDyUeqhriCuNAwkSiREk4yj1rNgNw7OwpvPe4g5hSEaS2PJjTgnOSI2bUEAoor+/1Rg6+Lrrjk9hqJBGDaI+7WOz5+HHTAcqg9W3XH8B+aL9AALzZs73//byKwjqQK+vaxRGP34o/bdF+xyFn0Fvd7Lq6HsYwwFFh785aGqa14xOlr3wK8bCNGIzsmEiUKJF4gtYetzM54eApzG0cmbnlodOqEPBiWbsPzu2RTrZ0vUmCOF3R8fdTUxAi7dCxff90R4AyiHbBCHYk93nTNUvqDqMqUBhPuLUtL9O45TnKevb1C4QjProa5rN58cX01kwfcVmOI7R1NRCuy2zdZBjpmEiUKHs6+4gllJDfx2kLRrZAHQoIjRmmoUK93WxsH7+59oLS1+UKRG/r8HlHQNQTibIR78rNndnrfkm4Z8AB8pYj/oaWQ84o2P0MIxUTiRKl01ukrgoHhpxeqgj5CQV8BHxCXUXmhexEiXh4BVyB6MmfhVXUca2UggUSieo9b/QLxOYjLiJeVlVy4TGNiY2JRImSFImKUPYNcz6BQ5qqqBxmv8Rk2a8wIvLsEqN/JCGF8WE17c0/9L/fOf80M0E1xh0TiRJje1sv67a18a1VrwFQGcr+FZeH/PsJhKr2jzxiiRiRRGSQu4lJj5Pf/QlJ76MjdwKXGz5vP8W2BeeYQExgRupJYDSk+5byMb5ONU0kSozeWIKVr+zq9880dYiocemb4Tqjnby671WCviCVwUq6Yl3Fc0aXiLrrB04CunaSP99FIy+nJ9HHr3auoTsRwVFFcXBU3cgFqjg4bOp1o+yGfIX5w02KRG/tyN25G7lRF6winOX7EyTjdG1Q/NSHXKswH1JQkUgnpj7eooCu6dMwkSghHEfp6I3R4wlEZZmfDyyZkzW/P82vRl/CNe2MOTHa+toKVs8R0dflusgeAc+3v8Gvdz1LbyLKfuEeU46zhYtMza+qJBI+/F1OThHH6oOF2VeQFAkni9t3I0NH7r31iWT1VJx0TCgIs8KN4xYLYkjCtQO784ciAZhIGKOhN5YgEnOIep5Mzz2imZry7E+4AU8k2iJtxDVOe1971rzjTs++4fMAP9/+JL/d83z+758ygFpcfTCHVR6ET3xux4Pb+QjucbW/nKNq5ua/DoB4IzmnQCOVyUxNoIKgL0BDsIba4EDwq1hC2U4rR9fMJ+hPFQ/JPpIM10CuJsyBEIPdyKkbHKqvw137ysUpowhMO2JkIhGLMZ4xIU0kSoS+eIINO12fSTFvj0PIn30I7BBnT98+/O272ds7Af0pDbFYrqq81r2Njb07BwnE3844jTnlTYPiBaQiSIpX6vQ8boqjwr6ddTRMa8Png0p/GY2h2rw0aTT4vDUUnQAjiZAvSG1gcCTCoC8wLjvNU/F7UzvV/vLhN4ZWNMDUw9xOOD1vaidu6z1ZKf4vz8gL0bhDX8wVh+RGuPZYC6+3ZxaA6rCfKcEge3sn6E9gCP9P6zo38a1N/zco7RuHf5gpeZjycRwhHGigubysYJvNynxBakcYSyLgeWqsC9dTUVY35nsnEm7Yx6mhWvw5eoqv9pf3z8NPGsqqIFtgLROGETFBewgjVxLOQIcW86ab/H7FyfJELuIb0vKp2LzU9havdG3KeO6tHjcexpRgFc1lU7hw6gl5EYhCMyvcSEOoJrdoaN500/SKZihvGnMdYgllHa3MKp86eCqmVAmEi12DSc/E7SWMnIglBkSiN+a6bhgqsNpo/DeNF7FEjFs3/u+w+S6YejxnNR5d+AqNgIZQNfXBwU/ZkjKZFdN4/xw64PqG2vECdO+Crl2uG/FMlmR9XtwNv61JjAr73MaMiUQJ0BONs6szwq7erXTG2umK9gAQHOJhNZeAQePNwxt/DUC5L8Rp9Ysz5qkIlPFXUxaNZ7WGpMJXRt1IRzM9++Chq0e+Z6OsGsrrRlu1A5uJYLU0yTGRKAHaemJ09MbpjLURd2J4FrAEh/h2s5kGFpKEkyDuxHll3yu83fF21nx/3vlnAGaGG3jfjHeOV/XGREY7+W3Pw7M/2j/AUNfOgfeHLoOyGqhuhvr5mQuvnm7TJqPFrMLGjIlECbCr093fkHSf0dXrTj1VlmUXAhnnoURrpJXrV1/fH7VuJLy7+eQC1ii/ZBTd1x/NvtdDfHDyv8IhZxW2YvmmdiZMKYy5b96IxeDl38DsJZ6ZqjEWTCRKgITj7gBWdeiKKJ2eF43q8sxC0FQbprZ8fL/619teHyQQDeEGjpp6VObMsQiN+FlYedA41W4MqOKP9eD394D6BqXz9lPu++M/BE1HDL6ufApUjX0helwJlEGoeuJbBSXrN9HrOUkwkSgBHFUSmmDLXoc7H3OnNkSgKssMRWXITyhX+8cxEEvEuH/D/QAcP+14Prz4w4SGmivu2gmdO7OfLyaq1O56lWCkHX8sQuOWZ6no2DH0NTNPgLpZ41O/QjLtSAhVDJ/PKClMJEqAhKM4Gueuxwfmvs99hz/rukNgnKeanml5hr0Rd79Gc2Xz0AIBbuzoCcr011Zy0Ku/HVlm8cH8s0pDIGBku4GNksNEYpLjOErCUb7y0Ot4e+h439IAiw7K/Aft8wn+cR6G7+kd8DNz9uyzh79giI10+UYScYJ9AwGVHEcojyqhntaMm+mmvfVk//t9048iWl5H58Jzmdtw+P57H0SGDSc6qShgYCVj4mLf+iQnocrGPd28vqsbgMNm+AYJRFnQT0OV++ReHvQTHsouNg+097WzpXMLMSdGa6QVRXl136sA/M28v6GmrGboAvq6INE3dJ4x4Iv3Ub33Teb++WeIkyCQzQ36y0OX88KyLxArd911TC+rJ1DqppYiNpI4QDGRmOS8tbubP73lTuVMrREu/6vBJn/lQR9TskScGwuOOtz90t2DTFljTowd3dnn56eEpwxdaKQD2t7OzTFaDkzZ9gLzn/8JkmGkkkhuulJQFUSUFFdPg2ifczLl1dNJuoOrKjXz1Komd5E6lVIaERk5YSIxyVm7pY2HXnQ75qba/bu0qnB+v+KuWBevRF/h5a0v8+S2JzPmqQnVUFdWR01ZDWG/24FWh6o5ofmEzIU6CTfmdM/eUQuEX3z7bWYLeK6gk9TveatfIGI1M2k/4l1Ep8whUdnY3wkmErD2LT/vmJfA74faYCU1aU7tpnivkqV6uusV1TAwkZj0rHh6U//7JYfuPx1QMUb/TI46PLXtKXb37ubZlmfZ2eNZHbmB75hTM4dLDr2kP39NqIbZNbNzu0lvK3Rsz3hq2ptPUL3ndQBkkIAkg0IofvER9gUJit9N19Q8OiA8rZvc/0+5huD8s2jMcL9YQllLKzPLGw8M30aZsGklIwUTiUnK1tYe9nZFaWnvBeBv3jGVWQ0dg/KIQHAId+Ej4cXdL7Li5RWD0oIEmV07m6AvyF/P/2sWNYzRPYbnRiSJP9rNwqd/QHnnDnxOAeJrZ9vZbLjYArWRgv0aJimdkThdfXHae12z11MW1NHLYJHwZ3ORPAK6ol08tf0pXtrzEgAzq2ZyVONRHD7lcKa8NYXpx0/HN5QHwVzQwY7tpr/+GJUpO5XjgTBbjrzIO5L+/1XAL35mhhsI+PzeOUnJNpC3/7hyKkw5OD/1LlVG6qHWOCAwkZikxBPKi1vbSHoIry0P0Ns7OE96eNKR0Bvv5ba/3Mb6fesHpZ8842TOn3s+TtyhZWPLaKudmTTfRlN2uMK0b8Y72HbYeUQqG7NOgVT6wwSqc5zeMgYoq4Jg2gY5m24yUjCRmKTEHIcH/uLO4wf9knGD3Gim1F/e8/IggTi26Vjm1c7j9Fmnj7aqw5M2peSPudNPuw4+mUj1tIyXhH0haoMVlPvGNypaUfAFoKI+xcLIi7LmD3pTQxmirmUjHgeeh4Z5EAi47kHSLZkMIwUTiUnIH9/Yzdd/8ypv7ekC4MqT56LsbxWUa8yItzve5vtrvw/AEQ1H8PeL/p6pFVPHXuGhcJxBcRTESRCMuns+emumZ72sLljJrPIC122iMHWhKxL5IOaN2qqmQdA8pBrDYyIxCXn05Z28tM1dfygP+lk6r4E4A87zwiE/8YQSDo58zaA33ssXV3+x/3jBlAWFFwhwLZtSqNuxrv99WXk9ZVns8yv8JbY3YSgscI5RREwkJiHbWt3Fh3ce2sj7jp9FechPZwz8fsFxlOqyAPWVIQI5WDa91f5W//tLDr2EM2efmfd6Z6Rnz6DDsh53Y6AiLKo5eHzqMBEQX/Ypo1LfzW1MaEwkJjiqSldfnOrwwNPknm7XbcWi6TU0VrnzyZVlfg6rqyGecBDAn6PpazThhjydWTWTC+ddOJYKD/heSsQAdU1ck+4vRAYH0PHumyTY506htS44mzxNsExM/EGomekuHAOU1cIYrNEMo1CYSExwYglla2svC6e5X1VnJE53n7vQW1XmpjVWhairrmRTx+6cRg+p9Hn+kmpCY9xpm3StMQoO/su9TN38DADB8oax1WOiUz6ldLzDGiWNicQEJ+44tPXEWLNxX39aV8Rd6K0sC1BZ5qepOkyULI7qRkhyJDGsG+/h0Nw3vwX6umh+4/F+gQDQxoVjq8dEoX4uVGYILmQb1oxJgv1SJzixxGCrJcdRWjpcQThyRg1HzqjF5xN29YzNKV5yJFHmH6M5ZI47pH3xPo587MYBi6aqJta/8xMcUl8iIuEvsxCaxqTGRGKCk3AGd/5rt7b1vz90WjVRp4+dXTvpjaftpMuR8RhJBMRPbbCCgPiZXe49Xb/9FHgCwczjKT/93zm2lLyq2sY0Y5JTdJEQkauATwHNwFrgE6r6TJa8jwOnZTj1sKpemJLvcOBGL28AeAW4RFU357f2hSPuxOlL9NEd7SMSH/Bt9N9/2gRAc22IjV0v4XQ6GfdIjARHHR5880FWvb2KSMIdnYx4JKEOtO/Yb7f0ULEgKvxlzKtI2/uw+U/u/4suhhM+PMKaTyLMxbYxySmqSIjIZcCtwEeBNcDVwCMislBVd2W45D1A6qNuA66w3J9S5nzgj8CdwBeADuAIGOOk/TgRiUfY1bOL7lg3XbEu2nqibOsaGCVEHfeJ/6RDfSSGeGpPikwmVJVfvvFL/rTjT4NGIIIwr3YedO0GJ63zdxIQ6wEHoBr2vgE62DJpOPyZOsykCWzDoTmVNWmwkYQxySn2SOJa4EequgJARD4KXAh8CPh6emZV3Zd6LCKXAz2kiATwVdyRxadT0t7Mc70LRiQeGXDHDfuNEWJxN2XxrOwbrNr62vj8U5+nK9Y1onvWh+v59AmfpjxQTnWoGnat33+EkMTxbPkTMcjxIdmXUSS8rzRfO4rHg2RY0qQjvPJs0SXU9jgYk54Ri4SI+HGfyF9X1d60cxXAIcBLqiMLUCwiIeA44GvJNFV1RGQVsHSE1VoO3Kuq3V6ZPlyRuUlEHgGOATYCX1PVB4aoSxmQOs9SDRCLxYjFsnSWGUjmzeWadPpifTjxgY/QiTuQsi4R9wYPZX4G5UvlzhfvHFYgBOGwKYfx4SM+THWour8Dd+KOexPNvLHL8UQi+X9OOL5BC/Gy+WkCHdsAiFU0QWJsi+/5IFm/dIOBQdTOgLoROhVUBlxhTADy8Rud6JR6G0fbvtF+HqIjjAQmIlcCHwdOUh08zyEiAeBPwLdU9ScjLG8GsA04WVVXp6TfBJymqicNc/2JuFNUJyXXMESkGdiBO7r4HPB74DzgBuAMVf1DlrKux52aGsQ999xDRUXF/hcUkU+t8RN1hP93TJzGlPXdV6KvsDa2llanle0J1/HfmeEzOa0s0xKOKxIZn+zHkXe+9iXqu98gIUEeOvrOotbFMEqdnp4errjiCoBaVe0YLn+SXKablgO3pAsEgKrGvc7948CIRCIPLAfWpS1yJ3u9/1PVb3rvXxCRk3HXPTKKBO5o5taU42pg67Jly6ipGfnmslgsxsqVKznnnHMIjtJ52s6enWzr3NZ/vLe7j10d7tqCqhL11gqajmqgqXrgHjc/eTPtsfb+42kV07h8yeW5C0HrpgFroww4jrBrez1NM/bh8438yX9KsIrZ5U2D1iUCr7m/Uz3lGi6YM04BQSvqIVzrrrEkf8opg99YPMHKZzdwzgkLCQYyrCeIf1JvgsvHb3SiU+ptHG37OjpGrAuDyEUkFuKOFrLxLHB4DuXtARJAui/oacCQAQtEpBK4HPh8hjLjuNZMqawHTslWnqr2Af2rvEnvqcFgcFQ/stFeB5CQxOBgPn4feG7AEynyXBkO9OeLJWK0R12B+LvD/45D6g7hoOqDRjdSSHTDCDp/n09zEolwwE844Icda2HTk27H3OuuRwSmLhjar3llpkCjo6T2ICirzn4+FgM2EJw6vyQ7mCRj+Y1OFkq9jbm2b7SfRS4iUQkM9VhdDYx4bkZVoyLyPHAW8AD0rymcBdw2zOWX4q4hDBq1eGU+iytoqSwARucrYpzpjHYOOtaU9YhdHQPvy0MDAtDa53pSDflCnDHrjJxdhA/cLCUedL5QpbyzhbC/DUKt8MdbwXPiB7ibzcrr9r/OH3LT/UGon5ffOhmGMWJyEYnXgZOBF7OcP8XLkwu3AneLyHPAM7gmsJVA0trpx8A2Vf1s2nXLgQdUdS/7czNwn4g8wcCaxN8Ap+dYt6LgpK37x+LKXY9H2dupdHpGvOEgBFKevCOe87yKYMXoBQLc2A5jQZXqvW8SjHQQiHYT7trFlB0vE4q0Dc4nPjj6/e7/Uw8b7PAP3Cf9cI2Jg2FMAHIRiXuAr4jI06o6SChE5B3Al4Cbcrm5qt4nIlO9a5uBF4DzVDVpAzobzzI/5V4LcQVpWZYyf+mZ0n4W+A6wAXcj3R9zqVuxSBeJjbvjbNo9+On+704pH3Qc94L2BMbsD2hsIlG9900Oe+r72TNUeTOLB58CR12WOU/NDKhqGnpKyDCMcSOXXuWbwPnA856Z6qte+mHA2cBTXp6cUNXbyDK9pKqnZ0jbwECE+2xl/hfwX7nWZSLSEXEForlOeNcJAWrKhcUHDZ7Vi6srEv6xBrAfmfVyP+V93cyODyyUhPZs9E7Uu4u7lVNd53YVDXDosuFDbNbMgIb5udbaMIwCMmKRUNWYiCwDrgGuAE7F7axfA/4D1/y1NA2Tx5H0kcTuDlcAplQK0+vcdYj0vjbhOdUb80jCcZBEjIr27YDSGKqhJlBJd6wb3n4Kf6KPuJOguStE0+sbKO/KtCkemH8mHHflyO8bCMOMY8Bf7L2dhmGkk9NfpScCN5HjtJIxclJFIh5PsOpFVyRqKgaUIf15POmeY+wjiQSHPLOCul2vDkpOd7c3yNYoXAuhqoHjYAXMOz23+4ZrTSAMY4KS81+miJQD5+BaDIE7578qfRe2kTuOo4NEYktrlIg3Njtq9oA1U/pIIm9rEom+AYGonDrgdgJcH0SNC0jUzGLDzl4WNlfiP+jY/Cwuh2vHXoZhGAUhp15FRC4C7iDtYRLYIyLLVfXBvNXsAGTNxj1saBvY8LKr3RUMAWbWp4rEYJUY1UhC1XXYl8LcJ77jnhIf8u4fuuanaTgJ5XVp5dAjpuAfam9DLgRLyDW4YZQYufhuOhn4H+BXwDdwN6gBLAI+CfyPiJymqkNtuDOyEE84JNLWI7xQ1tRXD+6M07vmEY8k+rog4u3KdhKQapqqypQtzwIQaTqM8gwCURCaFg2erjIMY0KRy0jic8AKVf2ntPSngadF5Ae4O6AvyFflDiR29+xld+/2QWm9UdeyqSLNkWj6SCIpEv7h3FJH2gdvZEshEO3G7wUe6njntZRnzFUAAmXmTtswJjC5iMQS4DNDnP8e2X0jGVnoiyfY1dHH+n1v0x5tG3Qu6vb9hNK+JZ8AfZ2uVZA/2D/dFBAvY28rdHtxGtQZCCk6RPyJYJ+701vLqplW2TyWJuWGxXo2jAlNLn+h5bgBfLLRzv6GMMYwdPcl2Nray96u/QMExbw+PRhIsWwSbyTRugkQVyS63L2H/ngftG91RWI49xrq4I8NxGEKd3r7F8sbxtKc3BmvaS3DMEZFrm45zsRzmZGBs8jdLccBSTTuEPE2oXX0Zt9akgwwFMo0G6MKKBs7NvNGu7uJLaDOQBCfDAQjHfhjvYgmWPjU7QSj+8eckJHGSRgLUxe6vpnEZ1NNhjHByUUkVgC3iMhOVX049YSIXIi7d+KGfFauVNnS2tPv/juJk8ElxsBIYiBtanVZv4+lfdFObnjjPhLetUHJ/nXW7HqVhat/OGS9HF8Q38FZneXmj/J62xdhGJOEXP5Sv43r4O8hEdmAa90kuO7BD8X15PqtPNevJIklMri/yDA9lBSJsqAwq951xVFZFkCdOD/b/jhP7H2JBA6V/jALKmdwVsM7AKho20pF+zZEHUI9+/A5car2uaMNxxfA8QdR8dFyyBm0zB8ISlQbqmJBVYFjJYjPBMIwJhG5uOVwgEtF5DLgb3F9NoHrw+l6Vb23APUrSeIZQmMmU9r69tARa2VP3w7ejHQRalT2+n08vm3AX9Om9rd4Yc+Aj8V31h/B+6a/EwBfvI/D/nhbv6VSOpvecSl7Z5+Q8ZyMdcd2NupmuaMH9yaFuYdhGAUh50c6Vb0PuK8AdSl59nVH2dkRoSeaycpI2RPZwd1vpHg8KYeyctiu8MCb+18hwDVzL+bwqoF1hFBPK/5EFMfnp2PqQhLBMFFvR3O8rIp9M4/JWj/fUH4T/UHXM2vcAVqhfAqEK9z/U3HikPDWWSoa3DUHX8DEwTAmKXkb94vIscCXVPWv81VmKRGJJXh9ZydOFqMjRx2292wCIOgrY0poKtt2TkWdEItn+5lel7JZIhHH39fFGQ1HMSNcP6icqla3jL6KRl5f8uGc6ig+vysGTYcPdskBbnqgzIvc9hY0HQYlHPXLMAyXXN1ynIvrtykK3KGqb4nIYcDXcQP7PJL/KpYG0YSTVSCSPLXTtQdYVHc8S+ov4Za/uFNG7zu7krmNla5pa2+bu+8hzaWGLxah+a0/MPNV9yvoqxwsHvvhC0D93EFJUjkNqmdDcNy20hmGMcHJxS3HcuBHwD5gCvBhEbkW+C7u9NORqrp+iCIOaGLxoWM1KIrPe3pvKJtGZ6+rKFVhCCV9JEV73E10KUzZ9gJVrZtpfvPxQenbF2aIyVRWPRAq1BfYTwx8gbAJhGEYg8hlJPGvwGdU9WYRuQS4H/hnYLGqbi1I7UqI1p6hQ20oSiThjg7mVS+iZY8rEtVhGZjPT871OwmaNj7FnJce2K+c7rpZvHHCB4lWJBeK/eDznAOW1+2/hpCCDB3LyTCMA5BcRGI+rjAA/AKIA58ygRgZ8WHiR/fEeol7MZv+8maIDVvdxe3qciHUs9t1zue51Tj8j9/rX3sAiIZr2X3wEjob5tPZeIhrZtroeXL3BQZEYhjGFB/bMIySJFe3HD0Aqqoi0gfsKEitDjCe3f17frThiwCo+nj8pSBJo9gZ5R2Eoh1Q5nX06vQLhOPz88qp19BbM32w9ZDPD4E0r4BDUB+uJ+ALUBOqyUdzDMMoIXK1bvqwiCR9OQSAK0VkT2oGVf1OXmpWYgzlSuk3W3/S/z7WeiLHzFb8sU4qgg5nztpHma+s/7wvMTBt9Zfzv4ITKGM/ZGQjh6AvSHWomrm1c/GN8BrDMA4schGJzcBHUo5bgA+k5VHARCIDmUSiPbqXSKKHnlg3AJGWd3HNO0+jWjop69oNgN8nhIMD5qi++MAmOSebczyvww/6spuolvnLOLzh8FybYRjGAUYuO64PLmA9Sh5lf5Vo79vHqlfa6OiLgg8C8RlUBiKEPIEAVyRS8Sdcn0+JpIO8TPj81IRqWFi/MH8NMAzjgMSc6IwT6SOJuBPnrT09rHwxQeUhCXw+qAkH8CWiSGLA+Z8vbTE5OZJw0tYcgr4AM8sacFC0dhaB8Xb5bRhGSWIiUST6Ej3s63bXF3ziWj6dcUQISQsM5E9ar7Zv5+C19xPw9kkk/IPXIgLiY2p4irtBrmZGgWtvGMaBgonEOJE6kli3bQ8tXa28tdMVB5/PdfY9tRJ8icEuxAOe+WrD1j9T1fp2f3qkumlQPsEHUw+DShtBGIaRP0wkxonkmsQLW1q58bdvDD7pjSTK+vYR0MFfSbkXcSgQdRe3d885iT0HHU/3FM+ltwj4Q/hqZ4HnyM8wDCNfmEiME8mRxDMb9/anzWoQQgHY60uAQjDWA4HBexVC3nxTUiS6a2fR1Tg/JUMl1M/DF6qxOA2GYeSdXHw3zQCuxfX02pF2rhb4HHCLqu7MbxVLi12d7nTSu04IcMwcEHW49RV3HcLvWSs1t75GXXcLgnLQWzupbXkFn7dWEQ8NxJWgejp47jdst7RhGIUgl0fPa4GadIEAUNV2Ean28nwmX5UrJRxVvrXqNV7e7i4815YLoZ4W/JHW/tClPnxURFp55ys/QTKYzCYCZXRPSYlBHSjrjxHtL1TAIMMwDmhyEYnzgI8Ocf7HuF5iTSQy8JuXdrBm4z4AQgGYVidIXHFSxCCAsOS1+xGU3mAVuxoWUl4WJBEsZ9fcU4iVVaHJDXSNC1yR8LCRhGEYhSAXkZiLu+s6G1uBg8dUmxLm5e3uAMwvcO1fhwgHBWKKowOO/5rbN9LYuQWAHfULeemwS5heG96/MBEIDqT7xU9AbD3CMIz8k0vP0osrAtmE4mAvj5GBp95wF6z/6fTZhIPJZRuHBAMi8Y63H+t//+KcZfizDg4GdlqXB8o5svHIPNfWMAzDJRevbmvY31dTKn8PPDO26pQmG/d0979vrh3YKa2OkkjZPNfQ44rHCwefTzRYkV0kfAPrDyH/yL29GoZh5EouI4lbgJUi0g7cnLRiEpFpwKeBK4EM4dCMlvZI//uZU8rY0gUvtz7Dym0/J8GASPiB1qqZvD79JADEl0UlRPCLn6aKJqqCVYWsumEYBzi5OPj7vYhcBXwbuEZEOnC9vtYCMeATqvrYUGUcqGzZ50acO6y5un+Z+o32FwcJxIm9EQSIHf9BZlS5Hb8/fTG6ogEqG0GE8kA5B1UfNA61NwzjQCan1U5V/YGIPAS8DzgEEOA14H8sQl12fvqMu4xTEQr076rTro0A3LB7D6f0RKhzHPb+9Qoa6huocmI46hBL8+NE3ex+v0w2zWQYxniQs0mMqm4DvlmAupQUkViCrr44AAFvQNBUU4ai9CV6edMN8kcT5TgV9exoOpGpdY34RajwZwgkBFDeAOHsMaoNwzDyTS47rv8ly6l24DVVXZ2fKpUGbT2x/gXr9ogrFkfMcF1u7OgZcNTXN+2v+F3zCRxWOYcZ2c2ZXHxm5moYxviSS69zTZb0OqBWRJ4GLlLVfWOuVQkQSwyYtkbj7vuQ38erbX/mf9/+AQB/1dNLWX05DVUhpleXD1zsOe3rt2JKxMCJjzgsqWEYRr7IZeF6brZzIjIP+AnwFeCf81CvSU9GkQj4eGrPwNr+CZEIBMqoCQepK/d2UodroLIJaqaPa30NwzAykZdHU1V9C/h3RmkCKyJXicgmEYmIyBoROXGIvI+LiGZ4/TpL/tu981ePpm6jJe4MuNuIJgZGEp2xNgD+rjvOh9o7B9xsIBAIw/R3mEAYhjFhyOf8xWagOdeLROQy4Fbgi8CxwFrgERFpynLJe4DpKa8jgQRwf4ay3w0sAbbnWq+xkmkkEfQLb3SsA2BJTy8COEHXSkkECJanF2MYhlFU8rkSuhh4e9hc+3Mt8CNVXQEgIh8FLgQ+BHw9PXP6moeIXA70kCYSIjIT+C5wLpBxlJGStwxINSmqBojFYsRisRE3JJk3FosR6YsSi7kmrEkrp9bowMdzSMTz5RQI4zhConYuGq6DHO5XDFLbWIpY+yY/pd7G0bZvtJ+HqO7vkjpjRpGaLKdqgeOAbwB3q+qXRnxzkRBuB/9eVX0gJf1uoE5V3zWCMtYBq1X1H1PSfMAq4P9U9dsisgn4lqp+K0sZ1wNfSE+/5557qKio2P+CYWjpgW+/7KcnPtha6WPHvMVPIj8EYN3GzUT9FTxy5HdxfMFMxRiGYeSNnp4errjiCoDaTCEfspHLSKINMgQ5cFHgDjI8+Q9DI643ivRARTuBw4a72Fu7OBJYnnbqM0Ac+M4I6/E13CmvJNXA1mXLllFTk00b9ycWi7Fy5UrCs46gZ+2GlHrCOw9poHGeD16BQ6JRALYe//c0LXbDkB477dgR36eYJNt4zjnnEAyWnrhZ+yY/pd7G0bavo2PEujCIXETijGz3Bl5X1a5R1WBsLAfWqWq/Y0EROQ74V+BYHeEwSVX7gL6UMgAIBoOj+pEp7vXHzp7Cx06fT9AvlBPjxT1vARD2qtU+dwm+gK//XpOJ0X42kwVr3+Sn1NuYa/tG+1nkYgL7h+HyiMiRqvpSDvffg7voPC0tfRrQMsy9KoHLgc+nnXon0ARsTgnE4we+ISJXq+rBOdRvVPR5C9VlQR9VZe5HXNb2JoFud00i7CgJfxnxCnf3tGABgwzDmJiMeeHaC1v6t8CHcdcmRhxHU1WjIvI8cBbwgFeezzu+bZjLL8VdbP5JWvp/465HpPKIl75ipHUbC0mTV9UYbX17SDhRKjpfp92bBixTJREooyJUTVlZLT6fbZIzDGNiMmqREJFTcad7LsE1Mf0FcNUoiroVuFtEnsONR3E1UInXoYvIj4FtqvrZtOuWAw+o6t7URO94UJqIxIAWVd3AOBBPuNNJfdrNzt4tiBOjJ9ZGh+PGty5XxQmGaa6eTUPl1PGokmEYxqjISSREpBk3bsRyoAb4Oe7T/MWq+spoKqCq94nIVOBLuPssXgDOS8arAGZDSvg2tx4LgVOYoPErYt50k58E/mgv4rgL1Y+3/gXwRhLhWgIB8+RqGMbEJhcHfw8Cp+LuObga+K2qJrx9DWNCVW8jy/SSqp6eIW0DjHwifzzWIVLpisYJ1j/Jm6E/8N3XYzhemNK45/r7kGiMeE0tQTN9NQxjgpPLSOJ8XJPS/1TV1wtUn5KgIxIjVLeGuK+LeJp91cHRGB9s7+DN8/6ZQywmhGEYE5xcROIU3Gmm50VkPe5C8L0FqdUkJxZ3wN8LwL8cfBHTy6bQ0dbFcZtXMW/7OlqOuAhf82IC5vrbMIwJTi4msH8C/uQ5yrsM123Grbj+n84RkS2q2lmQWk4yook44onEnPImZrftYMGaH+BTb62iooH6cH0xq2gYhjEicra9VNVuVf0vVT0F11/TN3A9wO4SkV/lu4KTkb5ELyKuIMwINzBt7yZ86qAIsYp6wgedRGN5Y5FraRiGMTxjMtBX1Q2q+mngINy9EgbQm3A3n/sJcETVbKZs+A0AcvyH6HjX9xBzBW4YxiQhL5PiqprA3Qz3QD7Km+xEtB2AMilH4r0DJ6YdQUB8iK1FGIYxSbCtvgWg1xkQCfZtdBP9IWhcQED8+E0kDMOYJFhvVQCiTg8AMyJ74LefcRO9ndVl/iD4yrJdahiGMaEwkSgAEcf10TQ15jnG9QVh3ukABPxlUFZVpJoZhmHkholEAYj4NgGwKBqFiga49O6BkzUzYMqc4lTMMAwjR2xNogA4oU0AHBfpc0UhlUB4/CtkGIYxSmwkkWfiDuB3p5lmxeJQ7YlEVRPUzDSRMAxjUmEikWc6o4r4XEd+QRQOOsE9ESy3tQjDMCYdNt2UZ9a1DXg1D0oIZp3kHpgzP8MwJiEmEnnm2T0Dbl9DgTAkQ6iWTylSjQzDMEaPiUSeiTjx/vehYLn7xh+EgO2NMAxj8mEikWdi6oqEXxV/qkgYhmFMQmzhOs/ENIEAIVUIlMOMo93NdIZhGJMQE4k8E9MYISCoCqEKKKsudpUMwzBGjU035Zk69gEQUmDxZcWtjGEYxhgxkcgj8YRDo+wFICgCM48tco0MwzDGholEHumJJgj4uwEoVwG/zeYZhjG5MZHII8++3cqOpr8AMNfxgd/MXg3DmNyYSOSRXZ099AVdv03vcIJm+moYxqTHRCKPbOh4DseXIOw4vM+phGqLZW0YxuTGRCKPdMRaATimr49AoMw1gTUMw5jEmEjkkUi8D4CahIOE64pbGcMwjDxgIpFH+hIRAMpU8Vc1Frk2hmEYY8dEIo9EnSjgiUTSb5NhGMYkxkQij0QT7nRTmSo0HV7k2hiGYYwdE4k84sRd89cyVZh7WpFrYxiGMXZMJPJIVXQr4IlE/bwi18YwDGPsmEjkkYS6axIxf4255DAMoyQwkcgjDgkA+vy1Ra6JYRhGfjCRyCPqiYRf7GM1DKM0sN4sjyRFQvAXuSaGYRj5wUQijzjqiYTYeoRhGKWBiUQeURwAfGIjCcMwSgMTiTziiDuS8NlIwjCMEmFCiISIXCUim0QkIiJrROTEIfI+LiKa4fVr73xQRG4UkXUi0i0i20XkxyIyo9DtSI4k/L5QoW9lGIYxLhRdJETkMuBW4IvAscBa4BERacpyyXuA6SmvI4EEcL93vsIr58ve/+8BFgK/KlAT+nE8kQgFKwt9K8MwjHFhIsyLXAv8SFVXAIjIR4ELgQ8BX0/PrKr7Uo9F5HKgB08kVLUdOCctz8eBZ0RktqpuLkQjYEAk/P5woW5hGIYxrhRVJEQkBBwHfC2ZpqqOiKwClo6wmOXAvaraPUSeWkCBtiz1KANSA1JXA8RiMWKx2AirAYoC7ppELtdNJpLtsvZNTkq9fVD6bRxt+0b7eYiqjurCfOCtE2wDTlbV1SnpNwGnqepJw1x/IrAGOElVn8mSJww8Bbyqqu/Pkud64Avp6ffccw8VFSOPLvf9XdezPRTnwx2LOXj2ZSO+zjAMo9D09PRwxRVXANSqasdIr5sI001jYTmwbgiBCAI/BwT42BDlfA13XSRJNbB12bJl1NTUjLgyt919PQBTpzZzwQUXjPi6yUQsFmPlypWcc845BIPBYlcn71j7Jj+l3sbRtq+jY8S6MIhii8Qe3EXnaWnp04CWoS4UkUrgcuDzWc4nBWIOcOZQyqmqfUBfyrUABIPBnL4EFXdU5veXleSPM5VcP5vJhrVv8lPqbcy1faP9LIpq3aSqUeB54Kxkmoj4vOPV2a7zuBR3HeEn6SdSBOJQ4GxV3ZuvOg9FIrkm4S/dH6ZhGAcWxR5JgDvNc7eIPAc8A1wNVAJJa6cfA9tU9bNp1y0HHkgXAE8g/gfX/PWvAb+INHun93nCVBCcpEj4yobJaRiGMTkoukio6n0iMhX4EtAMvACcp6o7vSyzwbMt9RCRhcApwLIMRc4ELvLev5B27gzg8XzUOxMJd5YKv99EwihdEonEhLYcisViBAIBIpEIiUSi2NXJO9naFwwG8fvz7xKo6CIBoKq3AbdlOXd6hrQNuIvRmfJvynau0AyMJGzHtVF6qCotLS20tbUVuypDoqo0NzezZcuW/vXFUmKo9tXV1dHc3JzXdk8IkSgVjoqASi9lAdtxbZQeSYFoamqioqJiwnbAjuPQ1dVFVVUVPl/RnUrknUztU1V6enrYtWsXANOnT8/b/Uwk8sjn9jgc5Ozm2cMai10Vw8griUSiXyAaGhqKXZ0hcRyHaDRKOBwuWZHI1L7y8nIAdu3aRVNTU96mnkrvEywiAdx5WjXrJqPESK5B5LK51Bh/kt9PPteMTCTySEDj7hu/rUkYpclEnWIyXArx/ZhI5JEAnkjYwrVhGCWCiUQeGRhJ2HSTYRilgYlEHrm8egVHRX5EX/WcYlfFMAyPK6+8kosvvjjr+bVr13LRRRfR1NREOBzm4IMP5rLLLuu3FMrEL37xC5YtW0ZDQwMiwgsvvLBfnkgkwlVXXUVDQwNVVVVccskl7Ny5c1CezZs3c+GFF1JRUUFTUxOf+tSniMfjo21qQTCRyCO9lNFBJVKADS2GYeSf3bt3c9ZZZ1FfX88jjzzC+vXrWbFiBTNmzKC7O3v0ge7ubk455RRuvPHGrHmuueYaHnzwQe6//37+8Ic/sH37dt7znvf0n08kElx44YVEo1Gefvpp7r77bu666y4+//mM7uiKhpnA5pGk23WfLe4ZBwCqSm9s/Hc0lwf9eVugfeqpp2hvb+eOO+4gEHC7w7lz53LGGWcMed0HPvABADZt2pTxfHt7O3feeSf33HMPZ555JgArVqzg8MMP509/+hNLlizh0Ucf5ZVXXmHVqlVMmzaNo48+mi9/+ct85jOf4frrrycUmhhrmyYSecTxQnP4TCOMA4DeWIJFn39k3O/7ypfOpSKUn66rubmZeDzOL3/5S9773vfmTXyef/55YrEYZ599dn/aYYcdxuzZs1m9ejVLlixh9erVLF68mGnTBpxgn3vuuXzsYx/j5Zdf5phjjslLXcaKTTflEccbSZiZoGFMDpYsWcJ1113HFVdcQWNjI+effz4333zzfmsHudLS0kIoFKKurm5Q+rRp02hpaenPkyoQyfPJcxMFG0nkkWSQP9MI40CgPOjnlS+dW5T75pOvfvWrXHvttTz22GOsWbOG22+/nRtuuIEnnniCxYsX5/VekxEbSeQRW5MwDiREhIpQYNxfhRipNzQ0cOmll3LLLbewfv16ZsyYwS233DLq8pqbm4lGo/s5Q9y5cyfNzc39edJHLMnjZJ6JgIlEHrE1CcOY/IRCIebPnz+kddNwHHfccQSDQX73u9/1p23YsIHNmzezdOlSAJYuXcq6desGmdquXLmSmpoaFi1aNPoG5Bmbbsojjo0kDGNC0t7evt9ehoaGBtauXcu9997L5ZdfzoIFC1BVHnzwQR5++GFWrFiRtbx9+/axefNmtm/fDrgCAO4IoLm5mdraWpYvX861115LfX09NTU1fOITn2Dp0qUsWbIEgGXLlrFo0SI+8IEPcNNNN9HS0sLnPvc5rrrqKsrKJk5MGhOJPGJrEoYxMXn88cf3sxZavnw51113HRUVFXzyk59ky5YtlJWVceihh3LHHXf0m7lm4le/+hX/8A//0H98+eWXA/CFL3yB66+/HoBvfvOb+Hw+LrnkEvr6+jj33HP5/ve/33+N3+/noYce4mMf+xhLly6lsrKSD37wg3zpS1/KY8vHjolEHrGRhGFMPO666y7uuuuurOd/+MMf5lzmlVdeyZVXXjlknnA4zPe+9z2+973vZc0zZ84cHn744ZzvP57YmkQesTUJwzBKDROJPGL7JAzDKDVMJPKI9o8kTCQMwygNTCTyyMfPmMffzE5QX2muwg3DKA1MJPLIB5fO4eyZypSKieGYyzAMY6yYSBiGYRhZMZEwDMMwsmIiYRiGYWTFRMIwDMPIiomEYRiGkRUTCcMwSporr7ySiy++OOv5tWvXctFFF9HU1EQ4HObggw/msssuG+SdNVOZIjLodd555w3Ks2/fPt7//vdTU1NDXV0dy5cvp6ura1CeF198kXe+852Ew2FmzZrFTTfdNKa2FgITCcMwDlh2797NWWedRX19PY888gjr169nxYoVzJgxY1hX4eeddx47duzof/3sZz8bdP79738/L7/8MitXruShhx7iiSee4B//8R/7z3d0dLBs2TLmzJnD888/z80338z1118/Kl9ShcQc/BmGMTpUIdYz/vcNVuTN1fJTTz1Fe3s7d9xxB4GA2x3OnTuXM844Y9hry8rKsgYHWr9+Pb/97W959tlnOf744wH47ne/ywUXXMAtt9zCjBkz+OlPf0o0GuW//uu/CIVCHHHEEbzwwgvceuutg8Sk2JhIGIYxOmI9cMOM8b/vddshVJmXopqbm4nH4/zyl7/kve99b05+1x5//HGampqYMmUKZ555Jl/5yldoaGgAYPXq1dTV1fULBMDZZ5+Nz+djzZo1vPvd72b16tWceuqphEIDm2/PPfdcbrzxRlpbW5kyZUpe2jhWbLrJMIwDliVLlnDddddxxRVX0NjYyPnnn8/NN9+8X1jRdM477zx+/OMf87vf/Y4bb7yRP/zhD5x//vkkEgkAWlpaaGpqGnRNIBCgvr6elpaW/jzTpk0blCd5nMwzEbCRhGEYoyNY4T7VF+O+eeSrX/0q1157LY899hhr1qzh9ttv54YbbuCJJ55g8eLFGa9JBhkCWLx4MUcddRTz58/n8ccf56yzzspr/YqNjSQMwxgdIu60z3i/CuBluaGhgUsvvZRbbrmF9evXM2PGDG655ZYRXz9v3jwaGxt54403AHcaK906Kh6Ps2/fvv51jObm5v1GLMnjbGsdxcBEwjAMI4VQKMT8+fOHtW5KZevWrezdu5fp06cDsHTpUtra2nj++ef78zz22GM4jsNJJ53Un+eJJ54gFov151m5ciULFy6cMOsRYNNNhmEcALS3t/PCCy8MSmtoaGDt2rXce++9XH755SxYsABV5cEHH+Thhx9mxYoVGcvq6urii1/8IpdccgnNzc28+eabfPrTn+aQQw7h3HPPBeDwww/nvPPO4yMf+Qi33347sViMj3/841x++eXMmOEu9l9xxRV88YtfZPny5XzmM5/hpZde4tvf/jbf/OY3C/pZ5IqJhGEYJc/jjz/OMcccMyht+fLlXHfddVRUVPDJT36SLVu2UFZWxqGHHsodd9zBBz7wgYxl+f1+XnzxRe6++27a2tqYMWMGy5Yt48tf/jJlZWX9+X7605/y8Y9/nLPOOgufz8cll1zCd77znf7ztbW1PProo1x11VUcd9xxNDY28vnPf35Cmb+CiYRhGCXOXXfdxV133ZX1fK6b18rLy3nkkUeGzVdfX88999wzZJ6jjjqKJ598Mqf7jze2JmEYhmFkZUKIhIhcJSKbRCQiImtE5MQh8j4uIprh9euUPCIiXxKRHSLSKyKrROTQ8WmNYRhG6VB0kRCRy4BbgS8CxwJrgUdEpCnLJe8Bpqe8jgQSwP0peT4N/AvwUeAkoNsrM1yINhiGYZQqRRcJ4FrgR6q6QlVfwe3Ye4APZcqsqvtUtSX5As7x8t8P7igCuBr4iqr+n6q+CPw9MAO4uNCNMQzDKCWKunAtIiHgOOBryTRVdURkFbB0hMUsB+5V1aRR81ygGViVUma7iKzxyrw3Qz3KgLKUpGqAWCw2yIZ5OJJ5c7lmslHqbbT2Zb9OVXEcB8dxClG1vKGq/f9P9LqOhqHa5zgOqkosFsPv9w86N9rfdLGtmxoBP5DuKGUncNhwF3trF0fiCkWS5FbFTGVm28b4WeAL6YmPPvooFRW5uwBYuXJlztdMNkq9jda+wQQCAZqbm+nq6iIajRaoVvmls7Oz2FUoKJnaF41G6e3t5YknniAejw8619MzOo+9xRaJsbIcWKeqz4yxnK/hroskqQa2Llu2jJqamhEXEovFWLlyJeeccw7BYHCMVZqYlHobrX2ZiUQibNmyhaqqKsLhib20p6p0dnZSXV2dk1fXycJQ7YtEIpSXl3Pqqafu9z11dHSM6n7FFok9uIvO09LSpwFDukEUkUrgcuDzaaeS100DdqSV+UKmslS1D+hLKRuAYDA4qo5itNdNJkq9jda+wSQSCUQEn8+HzzcRljKzk5yCSda31BiqfT6fDxHJ+P2O9vdc1E9QVaPA80C/20QR8XnHq4e5/FLcdYSfpKVvxBWK1DJrcK2chivTMAzDSKHYIwlwp3nuFpHngGdwLZMqgRUAIvJjYJuqfjbtuuXAA6q6NzVRVVVEvgV8TkRexxWNLwPbgQcK1wzDMIzSo+hjMVW9D/g34Eu400FHA+epanLheTbufoh+RGQhcApwZ5ZibwK+C/wQeBao8sqM5Ln6hmFMcK688kouvvjirOfXrl3LRRddRFNTE+FwmIMPPpjLLrtsP1ffqfziF79g2bJlNDQ0ICL7OQ8Ed33gqquuoqGhgaqqKi655JL9XINv3ryZCy+8kIqKCpqamvjUpz6134Lz448/zrHHHktZWRmHHHLIkC5GCkHRRQJAVW9T1TmqWqaqJ6nqmpRzp6vqlWn5N6iqqGpGEw11+byqNqtqWFXPVtXXCtwMwzAmGbt37+ass86ivr6eRx55hPXr17NixQpmzJgxpKvw7u5uTjnlFG688casea655hoefPBB7r//fv7whz+wfft23vOe9/SfTyQSXHjhhUSjUZ5++mnuvvtu7rrrLj7/+YFl1o0bN3LhhRdyxhln8MILL3D11Vfzj//4j/zud7/LzwcwAibCdJNhGJMQVaU33jvu9y0PlOfNaumpp56ivb2dO+64g0DA7Q7nzp3LGWecMeR1SQ+xmzZtyni+vb2dO++8k3vuuYczzzwTgBUrVnD44Yfzpz/9iSVLlvDoo4/yyiuvsGrVKqZNm8bRRx/Nl7/8ZT7zmc9w/fXXEwqFuP3225k7dy7f+MY3ANcF+ZNPPsl//ud/8u53vzsvn8FwmEgYhjEqeuO9nHTPSeN+3zVXrKEiTyFMm5ubicfj/PKXv+S9731v3sTn+eefJxaLcfbZZ/enHXbYYcyePZvVq1ezZMkSVq9ezeLFiwfFuT733HP52Mc+xssvv8wxxxzD6tWrB5UBsGzZMq655pq81HMkTIjpJsMwjGKwZMkSrrvuOq644goaGxs5//zzufnmm/dbO8iVlpYWQqEQdXV1g9KnTZtGS0tLf55UgUieT54bKk9nZye9veMzirORhGEYo6I8UM6aK9YMn7EA980nX/3qV7n22mt57LHHWLNmDbfffjs33HADTzzxBIsXL87rvSYjJhKGYYwKEcnbtE+xaWho4NJLL+XSSy/lhhtu4JhjjuGWW27h7rvvHlV5zc3NRKNR2traBo0mdu7cSXNzc3+eZ54Z7CwiOYJJzZM+qtm5cyfV1dWUl+dXLLNh002GYRgphEIh5s+fP6R103Acd9xxBIPBQVZIGzZsYPPmzSxd6vouXbp0KevWrRtkarty5UpqampYtGhRf550S6ZVq1Zx4olZQ+7kHRtJGIZR8rS3t++3l6GhoYG1a9dy7733cvnll7NgwQJUlQcffJCHH36YFStWZC1v3759bN68me3btwOuAID75N/c3ExtbS3Lly/n2muvpb6+npqaGj7xiU+wdOlSlixZArgL0IsWLeIDH/gAN910Ey0tLXzuc5/jqquu6o+V/dGPfpTbbruNT3/603zoQx/iscce4/777+e+++4rwKeUBVW1V9oLqAG0vb1dcyEajeoDDzyg0Wg0p+smE6XeRmtfZnp7e/WVV17R3t7eAtUsfyQSCW1tbdVEIqGqqh/84AcV2O+1fPlyffPNN/UjH/mILliwQMvLy7Wurk5POOEEXbFixZD3WLFiRcYyv/CFL/Tn6e3t1X/+53/WKVOmaEVFhb773e/WHTt2DCpn06ZNev7552t5ebk2NjbqJz/5SY3FYoPy/P73v9ejjz5aQ6GQzps3T++8885B7UtlqO+pvb09Wc8azaE/FPV8kxsDeL6e2tvb23P2Avvwww9zwQUXlKxzuFJvo7UvM5FIhI0bNzJ37twJ7wXWcRw6OjqoqakpWQd/2do31PfU0dFBbW0tQK2qjtglbOl9goZhGEbeMJEwDMMwsmIiYRiGYWTFRMIwDMPIiomEYRgjxgxdJjaF+H5MJAzDGJakJVRPT0+Ra2IMRfL7yadlnm2mMwxjWPx+P3V1df27gysqKvLmMTXfOI5DNBolEomUrAlsevtUlZ6eHnbt2kVdXR1+vz9v9zORMAxjRCT9CQ0VsW0ioKr09vZSXp6/uBMTiaHaV1dX1/895QsTCcMwRoSIMH36dJqamojFYsWuTlZisRhPPPEEp556asluiMzUvmAwmNcRRBITCcMwcsLv9xekM8oXfr+feDxOOBwuSZEY7/aV3oSdYRiGkTdMJAzDMIysmEgYhmEYWbE1iSHo6Bixo0TAXVDq6emho6OjJOdCofTbaO2b/JR6G0fbvlz7syTmKjwDIjIT2FrsehiGYRSAg1R120gzm0hkQFzj4xlAZ46XVuOKy0GjuHayUOpttPZNfkq9jWNpXzWwXXPo+G26KQPeBzhipU2SsrGlM5egHpOJUm+jtW/yU+ptHGP7cv48bOHaMAzDyIqJhGEYhpEVE4n80gd80fu/VCn1Nlr7Jj+l3sZxbZ8tXBuGYRhZsZGEYRiGkRUTCcMwDCMrJhKGYRhGVkwkDMMwjKyYSOQREblKRDaJSERE1ojIicWu03CIyGdF5FkR6RSRXSLygIgsTMsTFpHvicheEekSkf8VkWlpeWaLyK9FpMcr52YRmZCbNUXk30VEReRbKWmTuo0iMlNEfuLVv1dE1onI8SnnRUS+JCI7vPOrROTQtDLqReSnItIhIm0icqeIVI1/a/ZHRPwi8mUR2ejV/00R+X+SsrNsMrVRRE4VkQdFZLv3W7w47Xxe2iIiR4nIk16ftEVEPp1zZVXVXnl4AZfhmqT9A7AI+CHQCjQVu27D1Pu3wJXAEcA7gF8DbwOVKXn+E9gMnAkcB6wGnko57wfWASuBo4Hzgd3ADcVuX4b2ngBsBNYC3yqFNgJTgE3ACuBEYC6wDJifkuczQBvwLuAo4P+At4BwSp7fAC8AJwGnAK8D9xS7fV7drgP2ABcCBwPvxXVJ8S+TsY3e7+crwLsBBS5OOz/mtgA1QAvwE+/v+3KgB/jHnOpa7C+/VF7AGuC2lGMfrmuPfy923XJsx1TvR3uqd1wLRIH3puQ5zMuzxDs+H0gA01LyfBRoB0LFblNKnaqA14CzgcfxRGKytxH4OvDkEOcF2AH8W0paLRABLveOD/fae3xKnvMAB5gxAb67h4A709L+F/jJZG9jukjkqy3Ax4B9qb9P77fyai71s+mmPCAiIdynz1XJNFV1vOOlxarXKKn1/t/n/X8cEGRw217FfepOtm0psE5Vd6aU8wjuk8wRBa1tbnwP+LWqrkpLn+xtvAh4TkTu96bB/iIiH0k5PxdoZnD72nEfbFLb16aqz6Vctwq30zmpoLUfGU8DZ4nIAgAReQfu0/NvvPOl0MYk+WrLUuAJVY2m5HkEWCgiU0ZamQkxn1oCNOJOR+xMS9+J+0Q6KRARH/At3GmWl7zkZiCqqm1p2Xd655J5MrWdlDxFRUQuB47FnW5KZ7K3cR7uU+OtwA24bfyOiERV9W4G6pep/qnt25V6UlXjIrKP4rcP3CfgGuBVEUng/r39h6r+1DtfCm1Mkq+2NONOraaXkTzXOpLKmEgYqXwPOBL3Ca1kEJFZwLeBc1Q1Uuz6FAAf8JyqXucd/0VEjsSdDru7eNXKK+8D3g9cAbyMuy70LRHZ7gmhUSBsuik/7MGbr05Ln4a7cDThEZHbgL8GzlDV1IBLLUBIROrSLkltWwuZ2w4To/3HAU3An0UkLiJx4DTgX7z3O5ncbdwBvJKWth6Y7b1P1m+o32cL7mfUj2e5VU/x2wdwM/B1Vb1XVdep6n8D3wQ+650vhTYmyVdb8vKbNZHIA96c3/PAWck0b+rmLFwrmQmLZ2p3G66VxZmqmj48fR6IMbhtC3E7oGTbVgOLRST1R3sOru/69M6rGPwOWIz79Jl8PQf8NOX9ZG7jU8DCtLQFuFZq4E45tDC4fTW4c9ep7asTkeNSyjgTt49YU4A650oF7nx7KgkG+rBSaGOSfLVlNXCqiKTGOD0H2KCqI5pqAsy6KV8vXBPYCPBBXMuDH+DO+U0rdt2Gqff3cU3tTsOdp0y+ylPy/Cduh3MG7lP508DTKeeT5qGP4JrRnos7X1p089Ah2v04+5vATso24q5BxHDNRA/BnZLpBt6fkucz3u/xIlzBfIDMJpV/xjWj/StcS7CJYgJ7F240tqQJ7LtxTZBvnIxtxLW0O9p7KXCN9352vtqCa4TSAvwY17jiMu93YSawxXoBH/c6mj5cNT+p2HUaQZ01y+vKlDxh3PWKfd6P7BdAc1o5c4CHce2wdwO3AIFit2+Idj/OYJGY1G3EnSpch/ugsh74SNp5Ab7kdRoRXEuYBWl56oF7cPcftAP/BVQVu21e3apxjSreBnqBN3H3GaSad06aNgKnZ/m7uyufbcHdY/GkV8ZW4DO51tVchRuGYRhZsTUJwzAMIysmEoZhGEZWTCQMwzCMrJhIGIZhGFkxkTAMwzCyYiJhGIZhZMVEwjAMw8iKiYRhGIaRFRMJw5gEiBsW9+pi18M48DCRMIw0ROQuEXnAe/+4pMTCHod7XykibRlOnYAbEtcwxhWLJ2EY44CIhHRwhLCcUNXd+ayPYYwUG0kYRhZE5C5c77j/KiLqvQ72zh0pIr8RkS4R2Ski/y0ijSnXPi4it4nIt0RkD673WETkWhFZJyLdIrJFRL4vIlXeudOBFUBtyv2u984Nmm4Skdki8n/e/TtE5OciMi3l/PUi8oKIfMC7tl1E7hWR6oJ+aEbJYSJhGNn5V1yf/D8CpnuvLV5woseAvwDH4wagnwb8PO36DwJRXDfOH/XSHOBfcF03fxA3BsBN3rmngatxY1Qk73dLeqW8WCX/h+sF9DTcGAHzgPvSss4HLsb1EPvXXt5/H3nzDcOmmwwjK6raLiJRoEdV+yN5icjHgb/oQLhQRORDuAKyQFVf85JfV9VPp5X5rZTDTSLyOeB24J9VNSoi7W42HSpy2Fm4MQbmquoW7/5/D7wsIieo6rNePh+uy/dOL89/e9f+R44fhXEAYyJhGLnzDuAMEenKcG4+bvAXcKP6DUJEzsYNuXkYUIP7NxgWkQpV7Rnh/Q8HtiQFAkBVX/EWvA8HkiKxKSkQHjtIC3lpGMNhImEYuVMFPIgbPSydHSnvu1NPeOsZD+FGwfsP3ABHpwB3AiHcYEb5JJZ2rNgUs5EjJhKGMTRR3NClqfwZuAT3ST2eQ1nH4XbSn1RVB0BE3jeC+6WzHpglIrNSppsWAXUUP962UWLYU4VhDM0m4CQROVhEGr1F4+/hLhr/TEROEJH5InKuiKwQkaE6+DeAIPAJEZknIh9gYEE79X5VInKWd7+KDOWswg1V+lMROVZETsSNY/wHVX1uTK01jDRMJAxjaG4BErhP6LtxA9Vvx7VY8gOP4nbY3wLacK2XMqKqa4FrcaepXgLej7s+kZrnadyF7Pu8+306rRjUjTn8LqAVeAJXNN7CDXRvGHnFYlwbhmEYWbGRhGEYhpEVEwnDMAwjKyYShmEYRlZMJAzDMIysmEgYhmEYWTGRMAzDMLJiImEYhmFkxUTCMAzDyIqJhGEYhpEVEwnDMAwjKyYShmEYRlb+P4ps7bUuidrBAAAAAElFTkSuQmCC\n"
     },
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      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 400x400 with 0 Axes>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "for o in [1, 2]:\n",
    "    fig = plt.figure(dpi=100, figsize=(4, 4))\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.set_title(f'Surrogate order {o}')\n",
    "\n",
    "    for k in sorted(data_results.keys()):\n",
    "        ls_iter, order = k\n",
    "\n",
    "        if o == order:\n",
    "            \n",
    "            data = np.array(data_results[k])\n",
    "\n",
    "            means = data.mean(axis=0)\n",
    "            confidences = (1.9 * data.std(axis=0)) / np.sqrt(N_RUNS)\n",
    "            \n",
    "            ax.plot(means, label=f'LS {ls_iter}')\n",
    "            ax.fill_between(np.arange(1000), means-confidences, means+confidences, alpha=.25)\n",
    "\n",
    "    ax.grid()\n",
    "    ax.legend(loc=4)\n",
    "    ax.set_ylabel('AUC ROC')\n",
    "    ax.set_xlabel('Iteration')\n",
    "    # ax.set_yscale('log')\n",
    "    fig.savefig(os.path.join(output_images_folder, f'out_performance_SO-{o}.pdf'), format='pdf', bbox_inches='tight')\n",
    "    #plt.show()\n",
    "fig.clf()"
   ]
  },
  {
   "source": [
    "### 2. Curve of model training scores"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "files = os.listdir(surrogate_data_folder)\n",
    "\n",
    "data_results = {}\n",
    "for i in range(1, N_RUNS + 1):\n",
    "    for run in [ f for f in files if f\"RUN_{i}_performance\" in f ]:\n",
    "        \n",
    "        key = extract_params(run)\n",
    "        if key not in data_results:\n",
    "            data_results[key] = []\n",
    "\n",
    "        # need to extract the 50 first solution found from surrogate data file\n",
    "        data_file = os.path.join(surrogate_data_folder, run.replace('_performance.csv', ''))\n",
    "\n",
    "        scores = []\n",
    "        \n",
    "        with open(os.path.join(surrogate_data_folder, run), 'r') as f:\n",
    "            lines = f.readlines()\n",
    "\n",
    "            for index, line in enumerate(lines[:ILS - SS]):\n",
    "                #print(f'{index} => {run}')\n",
    "                #print(line)\n",
    "                scores.append(float(line.split(';')[4]))\n",
    "\n",
    "        # append run data into dictionnary with its key\n",
    "        data_results[key].append(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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249.138506 55.577838 \nL 248.924693 55.577838 \nL 248.710879 55.577838 \nL 248.497066 55.071149 \nL 248.283252 55.071149 \nL 248.069439 55.126451 \nL 247.855625 55.126451 \nL 247.641811 55.126451 \nL 247.427998 55.199004 \nL 247.214184 55.567632 \nL 247.000371 55.567632 \nL 246.786557 55.567632 \nL 246.572743 55.691567 \nL 246.35893 55.713895 \nL 246.145116 55.713895 \nL 245.931303 55.713895 \nL 245.717489 56.583244 \nL 245.503676 56.569393 \nL 245.289862 58.448584 \nL 245.076048 58.448584 \nL 244.862235 58.448584 \nL 244.648421 58.104688 \nL 244.434608 58.104688 \nL 244.220794 58.104688 \nL 244.00698 57.806678 \nL 243.793167 57.806678 \nL 243.579353 57.731832 \nL 243.36554 55.08317 \nL 243.151726 55.08317 \nL 242.937913 55.098954 \nL 242.724099 55.097418 \nL 242.510285 55.097418 \nL 242.296472 54.265024 \nL 242.082658 54.265024 \nL 241.868845 54.265024 \nL 241.655031 54.091883 \nL 241.441217 55.329546 \nL 241.227404 55.573229 \nL 241.01359 55.573229 \nL 240.799777 56.365692 \nL 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56.094864 \nL 231.819606 57.325045 \nL 231.605793 56.27243 \nL 231.391979 56.27243 \nL 231.178165 56.27243 \nL 230.964352 56.27243 \nL 230.750538 56.27243 \nL 230.536725 56.27243 \nL 230.322911 56.412477 \nL 230.109097 53.807165 \nL 229.895284 51.490585 \nL 229.68147 51.490585 \nL 229.467657 51.490585 \nL 229.253843 51.490585 \nL 229.04003 51.490585 \nL 228.826216 51.490585 \nL 228.612402 52.397498 \nL 228.398589 52.822605 \nL 228.184775 53.722939 \nL 227.970962 57.812881 \nL 227.757148 57.812881 \nL 227.543334 57.812881 \nL 227.329521 57.812881 \nL 227.115707 57.812881 \nL 226.901894 57.95454 \nL 226.68808 56.748603 \nL 226.474267 56.748603 \nL 226.260453 56.213704 \nL 226.046639 55.402918 \nL 225.832826 55.402918 \nL 225.619012 55.402918 \nL 225.405199 55.402918 \nL 225.191385 55.742806 \nL 224.977571 56.345858 \nL 224.763758 56.345858 \nL 224.549944 56.345858 \nL 224.336131 56.580072 \nL 224.122317 54.955151 \nL 223.908504 54.955151 \nL 223.69469 54.955151 \nL 223.480876 54.94099 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206.161976 52.652611 \nL 205.948163 52.652611 \nL 205.734349 52.652611 \nL 205.520535 52.652611 \nL 205.306722 53.016276 \nL 205.092908 52.849416 \nL 204.879095 52.560461 \nL 204.665281 53.472798 \nL 204.451467 53.932684 \nL 204.237654 53.932684 \nL 204.02384 53.932684 \nL 203.810027 53.932684 \nL 203.596213 53.932684 \nL 203.3824 52.724994 \nL 203.168586 52.869379 \nL 202.954772 53.517122 \nL 202.740959 55.912269 \nL 202.527145 55.14037 \nL 202.313332 55.14037 \nL 202.099518 55.14037 \nL 201.885704 55.14037 \nL 201.671891 55.14037 \nL 201.458077 55.96959 \nL 201.244264 55.96959 \nL 201.03045 55.316861 \nL 200.816637 51.026682 \nL 200.602823 51.513764 \nL 200.389009 51.513764 \nL 200.175196 51.513764 \nL 199.961382 51.513764 \nL 199.747569 51.513764 \nL 199.533755 51.313735 \nL 199.319941 51.313735 \nL 199.106128 51.600214 \nL 198.892314 49.706189 \nL 198.678501 49.595586 \nL 198.464687 49.595586 \nL 198.250874 49.595586 \nL 198.03706 49.595586 \nL 197.823246 49.600052 \nL 197.609433 49.623786 \nL 197.395619 49.623786 \nL 197.181806 49.278832 \nL 196.967992 52.477938 \nL 196.754178 52.844552 \nL 196.540365 52.844552 \nL 196.326551 52.844552 \nL 196.112738 52.844552 \nL 195.898924 52.866153 \nL 195.685111 53.148794 \nL 195.471297 53.148794 \nL 195.257483 53.381427 \nL 195.04367 51.123318 \nL 194.829856 51.473433 \nL 194.616043 51.473433 \nL 194.402229 51.473433 \nL 194.188415 51.473433 \nL 193.974602 51.571193 \nL 193.760788 52.727324 \nL 193.546975 52.727324 \nL 193.333161 50.665509 \nL 193.119348 50.753157 \nL 192.905534 50.703643 \nL 192.69172 50.703643 \nL 192.477907 50.703643 \nL 192.264093 50.703643 \nL 192.05028 50.454033 \nL 191.836466 49.462398 \nL 191.622652 49.462398 \nL 191.408839 49.683529 \nL 191.195025 49.110804 \nL 190.981212 49.117669 \nL 190.767398 49.117669 \nL 190.553585 49.117669 \nL 190.339771 49.117669 \nL 190.125957 49.168395 \nL 189.912144 49.027567 \nL 189.69833 49.027567 \nL 189.484517 49.031037 \nL 189.270703 49.414735 \nL 189.056889 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180.290532 51.1189 \nL 180.076719 51.1189 \nL 179.862905 50.49196 \nL 179.649092 52.861978 \nL 179.435278 52.501478 \nL 179.221465 52.501478 \nL 179.007651 52.501478 \nL 178.793837 52.501478 \nL 178.580024 52.261169 \nL 178.36621 52.261169 \nL 178.152397 52.261169 \nL 177.938583 51.629247 \nL 177.724769 50.253142 \nL 177.510956 50.191105 \nL 177.297142 50.191105 \nL 177.083329 50.191105 \nL 176.869515 50.024806 \nL 176.655702 50.302192 \nL 176.441888 50.302192 \nL 176.228074 50.302192 \nL 176.014261 48.517796 \nL 175.800447 47.945316 \nL 175.586634 47.970574 \nL 175.37282 47.970574 \nL 175.159006 47.970574 \nL 174.945193 47.989969 \nL 174.731379 48.063372 \nL 174.517566 48.063372 \nL 174.303752 48.063372 \nL 174.089939 49.118287 \nL 173.876125 50.173287 \nL 173.662311 51.030134 \nL 173.448498 51.030134 \nL 173.234684 51.035994 \nL 173.020871 51.035994 \nL 172.807057 51.227508 \nL 172.593243 51.227508 \nL 172.37943 51.227508 \nL 172.165616 51.393276 \nL 171.951803 53.122175 \nL 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147.102047 \nL 115.932644 129.34455 \nL 116.146457 129.400689 \nL 116.360271 129.411675 \nL 116.574085 129.411675 \nL 116.787898 129.411675 \nL 117.001712 129.411675 \nL 117.215525 115.876692 \nL 117.429339 124.145868 \nL 117.643152 124.145868 \nL 117.856966 123.906961 \nL 118.07078 124.219296 \nL 118.284593 124.219296 \nL 118.498407 137.627147 \nL 118.71222 137.627147 \nL 118.926034 137.627147 \nL 119.139848 125.510348 \nL 119.353661 125.510348 \nL 119.567475 125.001634 \nL 119.781288 124.014648 \nL 119.995102 114.88827 \nL 120.208915 114.88827 \nL 120.422729 114.88827 \nL 120.636543 126.481329 \nL 120.850356 126.481329 \nL 121.06417 126.481329 \nL 121.277983 127.849399 \nL 121.491797 122.645452 \nL 121.705611 122.551949 \nL 121.919424 122.551949 \nL 122.133238 119.168223 \nL 122.347051 119.168223 \nL 122.560865 119.168223 \nL 122.774678 140.24521 \nL 122.988492 141.255317 \nL 123.202306 141.255317 \nL 123.416119 149.692381 \nL 123.629933 149.38181 \nL 123.843746 149.38181 \nL 124.05756 149.38181 \nL 124.271374 137.7957 \nL 124.485187 143.833532 \nL 124.699001 143.833532 \nL 124.912814 143.833532 \nL 125.126628 126.086508 \nL 125.340441 126.08413 \nL 125.554255 126.053051 \nL 125.768069 126.053051 \nL 125.981882 109.630825 \nL 126.195696 98.164888 \nL 126.409509 98.164888 \nL 126.623323 114.685299 \nL 126.837137 114.685299 \nL 127.05095 114.685299 \nL 127.264764 114.614847 \nL 127.478577 119.982517 \nL 127.692391 126.72103 \nL 127.906204 126.72103 \nL 128.120018 126.72103 \nL 128.333832 110.962264 \nL 128.547645 110.962264 \nL 128.761459 110.962264 \nL 128.975272 107.229927 \nL 129.189086 107.278356 \nL 129.4029 103.645752 \nL 129.616713 135.472636 \nL 129.830527 135.472636 \nL 130.04434 135.472636 \nL 130.258154 135.472636 \nL 130.471968 137.8126 \nL 130.685781 137.8126 \nL 130.899595 137.8126 \nL 131.113408 114.117947 \nL 131.327222 114.127509 \nL 131.541035 114.127509 \nL 131.754849 114.127509 \nL 131.968663 117.818636 \nL 132.182476 117.818636 \nL 132.39629 117.818636 \nL 132.610103 118.988793 \nL 132.823917 124.438767 \nL 133.037731 124.481293 \nL 133.251544 124.548599 \nL 133.465358 133.281494 \nL 133.679171 133.281494 \nL 133.892985 133.281494 \nL 134.106798 133.281494 \nL 134.320612 122.942914 \nL 134.534426 117.212878 \nL 134.748239 117.212878 \nL 134.962053 109.363623 \nL 135.175866 109.431632 \nL 135.38968 109.431632 \nL 135.603494 109.431632 \nL 135.817307 109.431632 \nL 136.031121 113.440636 \nL 136.244934 127.149623 \nL 136.458748 127.149623 \nL 136.672561 127.149623 \nL 136.886375 127.471599 \nL 137.100189 127.453655 \nL 137.314002 127.453655 \nL 137.527816 127.453655 \nL 137.741629 123.187096 \nL 137.955443 92.605771 \nL 138.169257 92.605771 \nL 138.38307 92.605771 \nL 138.596884 92.605771 \nL 138.810697 92.470169 \nL 139.024511 92.812725 \nL 139.238324 110.96779 \nL 139.452138 110.96779 \nL 139.665952 106.393462 \nL 139.879765 106.393462 \nL 140.093579 106.393462 \nL 140.307392 106.393462 \nL 140.521206 106.393462 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157.840106 82.391473 \nL 158.05392 82.019363 \nL 158.267733 82.111824 \nL 158.481547 84.977578 \nL 158.695361 84.977578 \nL 158.909174 84.977578 \nL 159.122988 84.977578 \nL 159.336801 84.977578 \nL 159.550615 83.135665 \nL 159.764428 83.135665 \nL 159.978242 82.952035 \nL 160.192056 79.770186 \nL 160.405869 79.770186 \nL 160.619683 79.770186 \nL 160.833496 79.770186 \nL 161.04731 79.770186 \nL 161.261124 84.606684 \nL 161.474937 84.606684 \nL 161.688751 84.606684 \nL 161.902564 79.555564 \nL 162.116378 79.714166 \nL 162.330191 79.714166 \nL 162.544005 79.714166 \nL 162.757819 79.714166 \nL 162.971632 77.746048 \nL 163.185446 77.746048 \nL 163.399259 77.746048 \nL 163.613073 84.341528 \nL 163.826887 84.146363 \nL 164.0407 84.390717 \nL 164.254514 84.390717 \nL 164.468327 84.390717 \nL 164.682141 85.569073 \nL 164.895954 85.569073 \nL 165.109768 85.569073 \nL 165.323582 85.046736 \nL 165.537395 78.320461 \nL 165.751209 78.289085 \nL 165.965022 77.769347 \nL 166.178836 77.769347 \nL 166.39265 72.224443 \nL 166.606463 72.224443 \nL 166.820277 72.224443 \nL 167.03409 69.845079 \nL 167.247904 69.845079 \nL 167.461717 69.22622 \nL 167.675531 69.168851 \nL 167.889345 69.15822 \nL 168.103158 70.040609 \nL 168.316972 70.040609 \nL 168.530785 70.040609 \nL 168.744599 70.332128 \nL 168.958413 70.332128 \nL 169.172226 77.480574 \nL 169.38604 77.480574 \nL 169.599853 77.43829 \nL 169.813667 76.112385 \nL 170.02748 76.112385 \nL 170.241294 76.112385 \nL 170.455108 76.112385 \nL 170.668921 73.024023 \nL 170.882735 71.877829 \nL 171.096548 71.877829 \nL 171.310362 71.877829 \nL 171.524176 72.221009 \nL 171.737989 71.94258 \nL 171.951803 71.94258 \nL 172.165616 71.94258 \nL 172.37943 76.814276 \nL 172.593243 86.500696 \nL 172.807057 86.500696 \nL 173.020871 86.500696 \nL 173.234684 89.791884 \nL 173.448498 89.76094 \nL 173.662311 89.863424 \nL 173.876125 89.863424 \nL 174.089939 98.489194 \nL 174.303752 95.4585 \nL 174.517566 95.4585 \nL 174.731379 95.4585 \nL 174.945193 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192.264093 64.941025 \nL 192.477907 66.221086 \nL 192.69172 68.449095 \nL 192.905534 68.563454 \nL 193.119348 69.791302 \nL 193.333161 69.791302 \nL 193.546975 69.791302 \nL 193.760788 69.791302 \nL 193.974602 69.791302 \nL 194.188415 69.791302 \nL 194.402229 65.702276 \nL 194.616043 65.377386 \nL 194.829856 66.829359 \nL 195.04367 66.829359 \nL 195.257483 66.829359 \nL 195.471297 66.829359 \nL 195.685111 66.829359 \nL 195.898924 66.829359 \nL 196.112738 70.081344 \nL 196.326551 69.891101 \nL 196.540365 70.055114 \nL 196.754178 67.636531 \nL 196.967992 67.636531 \nL 197.181806 67.636531 \nL 197.395619 67.636531 \nL 197.609433 67.636531 \nL 197.823246 61.756426 \nL 198.03706 61.756426 \nL 198.250874 64.215198 \nL 198.464687 64.592254 \nL 198.678501 64.479877 \nL 198.892314 64.479877 \nL 199.106128 64.479877 \nL 199.319941 64.479877 \nL 199.533755 64.452118 \nL 199.747569 64.452118 \nL 199.961382 64.452118 \nL 200.175196 62.752467 \nL 200.389009 62.183628 \nL 200.602823 61.530583 \nL 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210.010621 57.302012 \nL 209.796807 57.302012 \nL 209.582993 57.302012 \nL 209.36918 57.302012 \nL 209.155366 57.302012 \nL 208.941553 56.427635 \nL 208.727739 55.938768 \nL 208.513926 55.938768 \nL 208.300112 57.236435 \nL 208.086298 57.236435 \nL 207.872485 57.236435 \nL 207.658671 57.236435 \nL 207.444858 57.236435 \nL 207.231044 57.236435 \nL 207.01723 57.551801 \nL 206.803417 58.444232 \nL 206.589603 58.336825 \nL 206.37579 57.928703 \nL 206.161976 57.928703 \nL 205.948163 57.928703 \nL 205.734349 57.928703 \nL 205.520535 57.928703 \nL 205.306722 57.92152 \nL 205.092908 56.663928 \nL 204.879095 57.075818 \nL 204.665281 57.075818 \nL 204.451467 58.244295 \nL 204.237654 58.244295 \nL 204.02384 58.244295 \nL 203.810027 58.244295 \nL 203.596213 58.436672 \nL 203.3824 58.436672 \nL 203.168586 59.096423 \nL 202.954772 58.147326 \nL 202.740959 58.147326 \nL 202.527145 57.619732 \nL 202.313332 57.619732 \nL 202.099518 57.619732 \nL 201.885704 57.733922 \nL 201.671891 57.733922 \nL 201.458077 57.077591 \nL 201.244264 57.424456 \nL 201.03045 57.589425 \nL 200.816637 57.589425 \nL 200.602823 58.465634 \nL 200.389009 58.465634 \nL 200.175196 58.75308 \nL 199.961382 58.75308 \nL 199.747569 58.960159 \nL 199.533755 58.960159 \nL 199.319941 58.124691 \nL 199.106128 57.424626 \nL 198.892314 57.424626 \nL 198.678501 56.465501 \nL 198.464687 56.426852 \nL 198.250874 56.426852 \nL 198.03706 56.76061 \nL 197.823246 56.76061 \nL 197.609433 56.76061 \nL 197.395619 54.673282 \nL 197.181806 56.892749 \nL 196.967992 56.892749 \nL 196.754178 58.332658 \nL 196.540365 58.332658 \nL 196.326551 58.197703 \nL 196.112738 58.197703 \nL 195.898924 58.197703 \nL 195.685111 58.197703 \nL 195.471297 58.828432 \nL 195.257483 58.652396 \nL 195.04367 58.177502 \nL 194.829856 58.084085 \nL 194.616043 55.532949 \nL 194.402229 55.532949 \nL 194.188415 55.532949 \nL 193.974602 55.532949 \nL 193.760788 55.532949 \nL 193.546975 55.847404 \nL 193.333161 56.960669 \nL 193.119348 56.960669 \nL 192.905534 57.227026 \nL 192.69172 57.227026 \nL 192.477907 57.227026 \nL 192.264093 57.227026 \nL 192.05028 57.227026 \nL 191.836466 55.238204 \nL 191.622652 54.747633 \nL 191.408839 54.747633 \nL 191.195025 54.740934 \nL 190.981212 56.35002 \nL 190.767398 56.35002 \nL 190.553585 56.35002 \nL 190.339771 56.35002 \nL 190.125957 56.587964 \nL 189.912144 57.387934 \nL 189.69833 59.224277 \nL 189.484517 58.528044 \nL 189.270703 58.528044 \nL 189.056889 58.231935 \nL 188.843076 58.231935 \nL 188.629262 58.231935 \nL 188.415449 58.231935 \nL 188.201635 58.015639 \nL 187.987822 58.015639 \nL 187.774008 56.51456 \nL 187.560194 56.51456 \nL 187.346381 55.90572 \nL 187.132567 55.90572 \nL 186.918754 55.90572 \nL 186.70494 55.90572 \nL 186.491126 56.838615 \nL 186.277313 57.183374 \nL 186.063499 57.25638 \nL 185.849686 57.363832 \nL 185.635872 57.893948 \nL 185.422059 57.893948 \nL 185.208245 57.893948 \nL 184.994431 57.893948 \nL 184.780618 57.885133 \nL 184.566804 57.885133 \nL 184.352991 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163.613073 83.546649 \nL 163.826887 83.546649 \nL 164.0407 85.568039 \nL 164.254514 71.175082 \nL 164.468327 71.175082 \nL 164.682141 71.066428 \nL 164.895954 71.066428 \nL 165.109768 71.066428 \nL 165.323582 71.066428 \nL 165.537395 71.196867 \nL 165.751209 70.75744 \nL 165.965022 75.165484 \nL 166.178836 75.254186 \nL 166.39265 75.254186 \nL 166.606463 72.84683 \nL 166.820277 72.84683 \nL 167.03409 72.84683 \nL 167.247904 72.84683 \nL 167.461717 84.917638 \nL 167.675531 82.988534 \nL 167.889345 82.988534 \nL 168.103158 83.715118 \nL 168.316972 83.715118 \nL 168.530785 86.119441 \nL 168.744599 86.119441 \nL 168.958413 86.119441 \nL 169.172226 77.722133 \nL 169.38604 77.72573 \nL 169.599853 78.948643 \nL 169.813667 78.948643 \nL 170.02748 78.882699 \nL 170.241294 80.468345 \nL 170.455108 80.468345 \nL 170.668921 80.468345 \nL 170.882735 79.225311 \nL 171.096548 79.225311 \nL 171.310362 79.229998 \nL 171.524176 79.101341 \nL 171.737989 79.101341 \nL 171.951803 84.329682 \nL 172.165616 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55.487251 \nL 240.799777 55.565066 \nL 241.01359 55.565066 \nL 241.227404 55.1643 \nL 241.441217 55.1643 \nL 241.655031 55.1643 \nL 241.868845 55.1643 \nL 242.082658 55.1643 \nL 242.296472 55.1643 \nL 242.510285 55.526671 \nL 242.724099 51.743539 \nL 242.937913 51.743539 \nL 243.151726 52.30454 \nL 243.36554 52.30454 \nL 243.579353 52.30454 \nL 243.793167 52.30454 \nL 244.00698 52.30454 \nL 244.220794 52.30454 \nL 244.434608 50.631644 \nL 244.648421 53.025659 \nL 244.862235 53.025659 \nL 245.076048 52.641774 \nL 245.289862 52.641774 \nL 245.503676 52.641774 \nL 245.717489 52.641774 \nL 245.931303 52.641774 \nL 246.145116 52.641774 \nL 246.35893 53.928113 \nL 246.572743 52.076267 \nL 246.786557 52.076267 \nL 247.000371 50.509693 \nL 247.214184 50.509693 \nL 247.427998 50.509693 \nL 247.641811 50.509693 \nL 247.855625 50.509693 \nL 248.069439 50.509693 \nL 248.283252 49.470989 \nL 248.497066 48.745947 \nL 248.710879 48.745947 \nL 248.924693 50.387719 \nL 249.138506 50.387719 \nL 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45.171286 \nL 255.980541 45.431761 \nL 255.766728 45.786665 \nL 255.552914 45.786665 \nL 255.3391 45.786665 \nL 255.125287 45.786665 \nL 254.911473 45.786665 \nL 254.69766 45.786665 \nL 254.483846 44.935857 \nL 254.270032 44.935857 \nL 254.056219 44.414411 \nL 253.842405 44.562309 \nL 253.628592 44.562309 \nL 253.414778 44.562309 \nL 253.200965 44.562309 \nL 252.987151 44.562309 \nL 252.773337 44.562309 \nL 252.559524 45.480286 \nL 252.34571 45.480286 \nL 252.131897 45.717864 \nL 251.918083 44.925493 \nL 251.704269 44.925493 \nL 251.490456 44.925493 \nL 251.276642 44.925493 \nL 251.062829 44.925493 \nL 250.849015 44.925493 \nL 250.635202 43.977038 \nL 250.421388 43.977038 \nL 250.207574 45.032332 \nL 249.993761 45.403201 \nL 249.779947 45.403201 \nL 249.566134 45.403201 \nL 249.35232 45.403201 \nL 249.138506 45.403201 \nL 248.924693 45.403201 \nL 248.710879 45.624253 \nL 248.497066 45.624253 \nL 248.283252 46.171691 \nL 248.069439 46.399229 \nL 247.855625 46.399229 \nL 247.641811 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213.004011 45.461051 \nL 212.790197 45.461051 \nL 212.576384 45.461051 \nL 212.36257 45.461051 \nL 212.148756 44.660664 \nL 211.934943 44.660664 \nL 211.721129 43.947332 \nL 211.507316 43.440081 \nL 211.293502 43.440081 \nL 211.079689 43.440081 \nL 210.865875 43.440081 \nL 210.652061 43.440081 \nL 210.438248 43.440081 \nL 210.224434 43.688545 \nL 210.010621 43.688545 \nL 209.796807 44.234394 \nL 209.582993 45.249061 \nL 209.36918 45.249061 \nL 209.155366 45.249061 \nL 208.941553 45.249061 \nL 208.727739 45.249061 \nL 208.513926 45.249061 \nL 208.300112 45.165234 \nL 208.086298 45.165234 \nL 207.872485 46.311672 \nL 207.658671 45.148075 \nL 207.444858 45.148075 \nL 207.231044 45.148075 \nL 207.01723 45.148075 \nL 206.803417 45.148075 \nL 206.589603 45.148075 \nL 206.37579 46.019308 \nL 206.161976 46.019308 \nL 205.948163 45.437407 \nL 205.734349 44.96498 \nL 205.520535 44.96498 \nL 205.306722 44.96498 \nL 205.092908 44.96498 \nL 204.879095 44.96498 \nL 204.665281 44.96498 \nL 204.451467 45.034606 \nL 204.237654 45.034606 \nL 204.02384 45.344166 \nL 203.810027 44.922286 \nL 203.596213 44.922286 \nL 203.3824 44.922286 \nL 203.168586 44.922286 \nL 202.954772 44.922286 \nL 202.740959 44.922286 \nL 202.527145 45.252107 \nL 202.313332 45.252107 \nL 202.099518 45.475189 \nL 201.885704 45.304157 \nL 201.671891 45.304157 \nL 201.458077 45.304157 \nL 201.244264 45.304157 \nL 201.03045 45.304157 \nL 200.816637 45.304157 \nL 200.602823 45.476589 \nL 200.389009 45.476589 \nL 200.175196 44.809671 \nL 199.961382 45.559511 \nL 199.747569 45.559511 \nL 199.533755 45.559511 \nL 199.319941 45.559511 \nL 199.106128 45.559511 \nL 198.892314 45.677023 \nL 198.678501 45.13249 \nL 198.464687 45.13249 \nL 198.250874 45.386502 \nL 198.03706 45.932276 \nL 197.823246 45.932276 \nL 197.609433 45.932276 \nL 197.395619 45.932276 \nL 197.181806 45.932276 \nL 196.967992 45.289793 \nL 196.754178 46.364381 \nL 196.540365 46.364381 \nL 196.326551 46.978275 \nL 196.112738 46.448096 \nL 195.898924 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170.02748 46.741015 \nL 169.813667 47.100107 \nL 169.599853 47.100107 \nL 169.38604 45.566948 \nL 169.172226 45.512749 \nL 168.958413 43.612251 \nL 168.744599 43.612251 \nL 168.530785 43.612251 \nL 168.316972 40.147516 \nL 168.103158 40.147516 \nL 167.889345 37.627321 \nL 167.675531 37.627321 \nL 167.461717 39.562376 \nL 167.247904 44.937493 \nL 167.03409 44.937493 \nL 166.820277 44.937493 \nL 166.606463 44.937493 \nL 166.39265 48.115387 \nL 166.178836 48.115387 \nL 165.965022 50.242211 \nL 165.751209 50.88004 \nL 165.537395 51.058414 \nL 165.323582 48.971045 \nL 165.109768 48.971045 \nL 164.895954 48.971045 \nL 164.682141 48.971045 \nL 164.468327 49.02796 \nL 164.254514 49.02796 \nL 164.0407 46.584473 \nL 163.826887 44.056588 \nL 163.613073 44.056588 \nL 163.399259 45.088599 \nL 163.185446 45.088599 \nL 162.971632 45.088599 \nL 162.757819 45.088599 \nL 162.544005 45.968046 \nL 162.330191 47.296214 \nL 162.116378 47.250167 \nL 161.902564 47.250167 \nL 161.688751 47.250167 \nL 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 400x400 with 0 Axes>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "n_LS = 100\n",
    "\n",
    "for n_LS in [100, 500, 1000]:\n",
    "    fig = plt.figure(dpi=100, figsize=(4, 4))\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.set_title(f'Surrogate model - LS {n_LS}')\n",
    "\n",
    "    for k in sorted(data_results.keys()):\n",
    "        ls_iter, order = k\n",
    "\n",
    "        if ls_iter == n_LS:\n",
    "            \n",
    "            data = np.array(data_results[k])\n",
    "\n",
    "            means = data.mean(axis=0)\n",
    "            confidences = (1.9 * data.std(axis=0)) / np.sqrt(N_RUNS)\n",
    "            \n",
    "            ax.plot(means, label=f'order {order}')\n",
    "            ax.fill_between(np.arange(ILS - SS), means-confidences, means+confidences, alpha=.25)\n",
    "\n",
    "    ax.grid()\n",
    "    ax.legend(loc=4)\n",
    "    ax.set_ylabel('R²')\n",
    "    ax.set_xlabel('Iteration')\n",
    "    ax.set_ylim(0.5, 1)\n",
    "    # ax.set_yscale('log')\n",
    "    fig.savefig(os.path.join(output_images_folder, f'model_scores_LS-{n_LS}.pdf'), format='pdf', bbox_inches='tight')\n",
    "    #plt.show()\n",
    "fig.clf()"
   ]
  },
  {
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   "outputs": [
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213.645452 65.444305 \nL 213.859265 65.444305 \nL 214.073079 65.510729 \nL 214.286892 65.510729 \nL 214.500706 65.510729 \nL 214.714519 65.552963 \nL 214.928333 65.882603 \nL 215.142147 68.341494 \nL 215.35596 68.341494 \nL 215.569774 68.341494 \nL 215.783587 68.341494 \nL 215.997401 68.422951 \nL 216.211215 68.422951 \nL 216.425028 68.422951 \nL 216.638842 68.788148 \nL 216.852655 66.125233 \nL 217.066469 66.144694 \nL 217.280282 66.144694 \nL 217.494096 66.144694 \nL 217.70791 66.144694 \nL 217.921723 66.240737 \nL 218.135537 66.240737 \nL 218.34935 66.240737 \nL 218.563164 68.3161 \nL 218.776978 68.238306 \nL 218.990791 68.997922 \nL 219.204605 68.997922 \nL 219.418418 68.997922 \nL 219.632232 68.997922 \nL 219.846045 68.574915 \nL 220.059859 68.574915 \nL 220.273673 65.897082 \nL 220.487486 65.831561 \nL 220.7013 65.899036 \nL 220.915113 65.295599 \nL 221.128927 65.295599 \nL 221.342741 65.295599 \nL 221.556554 68.149013 \nL 221.770368 68.149013 \nL 221.984181 70.829424 \nL 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214.714519 57.446992 \nL 214.500706 57.261405 \nL 214.286892 57.261405 \nL 214.073079 57.261405 \nL 213.859265 57.201945 \nL 213.645452 57.201945 \nL 213.431638 57.201945 \nL 213.217824 56.022839 \nL 213.004011 56.765647 \nL 212.790197 57.211654 \nL 212.576384 57.086755 \nL 212.36257 57.086755 \nL 212.148756 57.086755 \nL 211.934943 57.489442 \nL 211.721129 57.489442 \nL 211.507316 57.608531 \nL 211.293502 57.608531 \nL 211.079689 56.642285 \nL 210.865875 56.58352 \nL 210.652061 57.44019 \nL 210.438248 57.44019 \nL 210.224434 57.44019 \nL 210.010621 57.95195 \nL 209.796807 58.568094 \nL 209.582993 58.568094 \nL 209.36918 58.568094 \nL 209.155366 58.239878 \nL 208.941553 58.327612 \nL 208.727739 57.791393 \nL 208.513926 57.791393 \nL 208.300112 57.791393 \nL 208.086298 56.252768 \nL 207.872485 56.252768 \nL 207.658671 56.252768 \nL 207.444858 56.252768 \nL 207.231044 56.439555 \nL 207.01723 56.822874 \nL 206.803417 56.957966 \nL 206.589603 56.957966 \nL 206.37579 52.652611 \nL 206.161976 52.652611 \nL 205.948163 52.652611 \nL 205.734349 52.652611 \nL 205.520535 52.652611 \nL 205.306722 53.016276 \nL 205.092908 52.849416 \nL 204.879095 52.560461 \nL 204.665281 53.472798 \nL 204.451467 53.932684 \nL 204.237654 53.932684 \nL 204.02384 53.932684 \nL 203.810027 53.932684 \nL 203.596213 53.932684 \nL 203.3824 52.724994 \nL 203.168586 52.869379 \nL 202.954772 53.517122 \nL 202.740959 55.912269 \nL 202.527145 55.14037 \nL 202.313332 55.14037 \nL 202.099518 55.14037 \nL 201.885704 55.14037 \nL 201.671891 55.14037 \nL 201.458077 55.96959 \nL 201.244264 55.96959 \nL 201.03045 55.316861 \nL 200.816637 51.026682 \nL 200.602823 51.513764 \nL 200.389009 51.513764 \nL 200.175196 51.513764 \nL 199.961382 51.513764 \nL 199.747569 51.513764 \nL 199.533755 51.313735 \nL 199.319941 51.313735 \nL 199.106128 51.600214 \nL 198.892314 49.706189 \nL 198.678501 49.595586 \nL 198.464687 49.595586 \nL 198.250874 49.595586 \nL 198.03706 49.595586 \nL 197.823246 49.600052 \nL 197.609433 49.623786 \nL 197.395619 49.623786 \nL 197.181806 49.278832 \nL 196.967992 52.477938 \nL 196.754178 52.844552 \nL 196.540365 52.844552 \nL 196.326551 52.844552 \nL 196.112738 52.844552 \nL 195.898924 52.866153 \nL 195.685111 53.148794 \nL 195.471297 53.148794 \nL 195.257483 53.381427 \nL 195.04367 51.123318 \nL 194.829856 51.473433 \nL 194.616043 51.473433 \nL 194.402229 51.473433 \nL 194.188415 51.473433 \nL 193.974602 51.571193 \nL 193.760788 52.727324 \nL 193.546975 52.727324 \nL 193.333161 50.665509 \nL 193.119348 50.753157 \nL 192.905534 50.703643 \nL 192.69172 50.703643 \nL 192.477907 50.703643 \nL 192.264093 50.703643 \nL 192.05028 50.454033 \nL 191.836466 49.462398 \nL 191.622652 49.462398 \nL 191.408839 49.683529 \nL 191.195025 49.110804 \nL 190.981212 49.117669 \nL 190.767398 49.117669 \nL 190.553585 49.117669 \nL 190.339771 49.117669 \nL 190.125957 49.168395 \nL 189.912144 49.027567 \nL 189.69833 49.027567 \nL 189.484517 49.031037 \nL 189.270703 49.414735 \nL 189.056889 49.432625 \nL 188.843076 49.432625 \nL 188.629262 49.432625 \nL 188.415449 49.432625 \nL 188.201635 49.295414 \nL 187.987822 49.669062 \nL 187.774008 49.669062 \nL 187.560194 49.411082 \nL 187.346381 50.33333 \nL 187.132567 50.32374 \nL 186.918754 50.32374 \nL 186.70494 50.32374 \nL 186.491126 50.32374 \nL 186.277313 50.390635 \nL 186.063499 50.136579 \nL 185.849686 50.136579 \nL 185.635872 51.013393 \nL 185.422059 49.110926 \nL 185.208245 49.10471 \nL 184.994431 49.10471 \nL 184.780618 49.10471 \nL 184.566804 49.10471 \nL 184.352991 48.718539 \nL 184.139177 49.437974 \nL 183.925363 49.437974 \nL 183.71155 48.407202 \nL 183.497736 48.586491 \nL 183.283923 48.264246 \nL 183.070109 48.264246 \nL 182.856296 48.264246 \nL 182.642482 48.264246 \nL 182.428668 48.531922 \nL 182.214855 48.576362 \nL 182.001041 48.576362 \nL 181.787228 49.758735 \nL 181.573414 50.208247 \nL 181.3596 50.772668 \nL 181.145787 50.772668 \nL 180.931973 50.772668 \nL 180.71816 50.772668 \nL 180.504346 51.118022 \nL 180.290532 51.1189 \nL 180.076719 51.1189 \nL 179.862905 50.49196 \nL 179.649092 52.861978 \nL 179.435278 52.501478 \nL 179.221465 52.501478 \nL 179.007651 52.501478 \nL 178.793837 52.501478 \nL 178.580024 52.261169 \nL 178.36621 52.261169 \nL 178.152397 52.261169 \nL 177.938583 51.629247 \nL 177.724769 50.253142 \nL 177.510956 50.191105 \nL 177.297142 50.191105 \nL 177.083329 50.191105 \nL 176.869515 50.024806 \nL 176.655702 50.302192 \nL 176.441888 50.302192 \nL 176.228074 50.302192 \nL 176.014261 48.517796 \nL 175.800447 47.945316 \nL 175.586634 47.970574 \nL 175.37282 47.970574 \nL 175.159006 47.970574 \nL 174.945193 47.989969 \nL 174.731379 48.063372 \nL 174.517566 48.063372 \nL 174.303752 48.063372 \nL 174.089939 49.118287 \nL 173.876125 50.173287 \nL 173.662311 51.030134 \nL 173.448498 51.030134 \nL 173.234684 51.035994 \nL 173.020871 51.035994 \nL 172.807057 51.227508 \nL 172.593243 51.227508 \nL 172.37943 51.227508 \nL 172.165616 51.393276 \nL 171.951803 53.122175 \nL 171.737989 52.552805 \nL 171.524176 52.090596 \nL 171.310362 52.090596 \nL 171.096548 52.090596 \nL 170.882735 52.197143 \nL 170.668921 52.197143 \nL 170.455108 52.197143 \nL 170.241294 51.374228 \nL 170.02748 50.592048 \nL 169.813667 50.01878 \nL 169.599853 50.01878 \nL 169.38604 50.01878 \nL 169.172226 49.962603 \nL 168.958413 49.962603 \nL 168.744599 49.962603 \nL 168.530785 49.962603 \nL 168.316972 53.541108 \nL 168.103158 52.223918 \nL 167.889345 52.631107 \nL 167.675531 52.631107 \nL 167.461717 52.631107 \nL 167.247904 53.265104 \nL 167.03409 53.265104 \nL 166.820277 53.265104 \nL 166.606463 53.265104 \nL 166.39265 52.644217 \nL 166.178836 54.273563 \nL 165.965022 55.553843 \nL 165.751209 55.553843 \nL 165.537395 55.553843 \nL 165.323582 53.828389 \nL 165.109768 53.828389 \nL 164.895954 53.828389 \nL 164.682141 53.828389 \nL 164.468327 54.284058 \nL 164.254514 54.336082 \nL 164.0407 53.625123 \nL 163.826887 53.625123 \nL 163.613073 53.625123 \nL 163.399259 52.538933 \nL 163.185446 52.538933 \nL 162.971632 52.538933 \nL 162.757819 52.538933 \nL 162.544005 52.609294 \nL 162.330191 51.809662 \nL 162.116378 52.44132 \nL 161.902564 52.44132 \nL 161.688751 52.44132 \nL 161.474937 54.523709 \nL 161.261124 54.523709 \nL 161.04731 54.523709 \nL 160.833496 54.523709 \nL 160.619683 54.781126 \nL 160.405869 57.100082 \nL 160.192056 56.622648 \nL 159.978242 56.622648 \nL 159.764428 56.622648 \nL 159.550615 57.022466 \nL 159.336801 57.022466 \nL 159.122988 57.022466 \nL 158.909174 57.022466 \nL 158.695361 56.114614 \nL 158.481547 57.071582 \nL 158.267733 57.463151 \nL 158.05392 57.463151 \nL 157.840106 57.463151 \nL 157.626293 57.01461 \nL 157.412479 57.01461 \nL 157.198665 57.01461 \nL 156.984852 57.01461 \nL 156.771038 55.846363 \nL 156.557225 54.444813 \nL 156.343411 53.851472 \nL 156.129598 53.851472 \nL 155.915784 53.851472 \nL 155.70197 51.12038 \nL 155.488157 51.12038 \nL 155.274343 51.12038 \nL 155.06053 51.212006 \nL 154.846716 50.693075 \nL 154.632902 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128.761459 49.717414 \nL 128.547645 49.717414 \nL 128.333832 49.717414 \nL 128.120018 49.717414 \nL 127.906204 48.082933 \nL 127.692391 47.949678 \nL 127.478577 47.936574 \nL 127.264764 47.936574 \nL 127.05095 48.228495 \nL 126.837137 48.228495 \nL 126.623323 48.228495 \nL 126.409509 48.228495 \nL 126.195696 48.228495 \nL 125.981882 50.32941 \nL 125.768069 51.306563 \nL 125.554255 52.224654 \nL 125.340441 52.224654 \nL 125.126628 52.895113 \nL 124.912814 52.895113 \nL 124.699001 52.895113 \nL 124.485187 52.895113 \nL 124.271374 52.895113 \nL 124.05756 53.1302 \nL 123.843746 52.790401 \nL 123.629933 53.319589 \nL 123.416119 53.319589 \nL 123.202306 50.557018 \nL 122.988492 50.557018 \nL 122.774678 50.557018 \nL 122.560865 50.557018 \nL 122.347051 50.557018 \nL 122.133238 49.121826 \nL 121.919424 49.517907 \nL 121.705611 49.474646 \nL 121.491797 49.474646 \nL 121.277983 50.676195 \nL 121.06417 50.676195 \nL 120.850356 50.676195 \nL 120.636543 50.676195 \nL 120.422729 50.676195 \nL 120.208915 51.446198 \nL 119.995102 51.254662 \nL 119.781288 50.942515 \nL 119.567475 50.942515 \nL 119.353661 50.893819 \nL 119.139848 50.893819 \nL 118.926034 50.893819 \nL 118.71222 50.893819 \nL 118.498407 50.893819 \nL 118.284593 51.482719 \nL 118.07078 51.343992 \nL 117.856966 51.828206 \nL 117.643152 51.828206 \nL 117.429339 54.810796 \nL 117.215525 54.810796 \nL 117.001712 54.810796 \nL 116.787898 54.810796 \nL 116.574085 54.810796 \nL 116.360271 54.728038 \nL 116.146457 53.823446 \nL 115.932644 54.094254 \nL 115.71883 54.094254 \nL 115.505017 53.803977 \nL 115.291203 53.803977 \nL 115.077389 53.803977 \nL 114.863576 53.803977 \nL 114.649762 53.803977 \nL 114.435949 52.760841 \nL 114.222135 51.267904 \nL 114.008322 51.848113 \nL 113.794508 51.848113 \nL 113.580694 53.897741 \nL 113.366881 53.897741 \nL 113.153067 53.897741 \nL 112.939254 53.897741 \nL 112.72544 53.897741 \nL 112.511626 53.825472 \nL 112.297813 52.195971 \nL 112.083999 52.195971 \nL 111.870186 52.195971 \nL 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131.968663 104.644255 \nL 132.182476 104.658526 \nL 132.39629 104.658526 \nL 132.610103 104.658526 \nL 132.823917 99.892666 \nL 133.037731 99.892666 \nL 133.251544 100.788734 \nL 133.465358 100.788734 \nL 133.679171 93.550907 \nL 133.892985 93.550907 \nL 134.106798 120.151891 \nL 134.320612 120.151891 \nL 134.534426 120.897711 \nL 134.748239 120.897711 \nL 134.962053 123.020283 \nL 135.175866 123.020283 \nL 135.38968 121.858945 \nL 135.603494 121.858945 \nL 135.817307 121.858945 \nL 136.031121 121.886549 \nL 136.244934 121.410607 \nL 136.458748 121.410607 \nL 136.672561 119.576443 \nL 136.886375 119.576443 \nL 137.100189 119.26813 \nL 137.314002 119.26813 \nL 137.527816 119.26813 \nL 137.741629 119.26813 \nL 137.955443 120.725629 \nL 138.169257 108.029501 \nL 138.38307 106.317931 \nL 138.596884 106.317931 \nL 138.810697 106.652812 \nL 139.024511 106.652812 \nL 139.238324 106.652812 \nL 139.452138 117.399805 \nL 139.665952 118.691128 \nL 139.879765 118.467768 \nL 140.093579 117.14472 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148.646122 98.403374 \nL 148.859936 98.230769 \nL 149.073749 96.138341 \nL 149.287563 96.138341 \nL 149.501376 96.237559 \nL 149.71519 96.237559 \nL 149.929004 96.237559 \nL 150.142817 96.237559 \nL 150.356631 97.12611 \nL 150.570444 120.026626 \nL 150.784258 118.227664 \nL 150.998072 118.227664 \nL 151.211885 118.227664 \nL 151.425699 118.20366 \nL 151.639512 118.20366 \nL 151.853326 118.20366 \nL 152.067139 119.712475 \nL 152.280953 120.429411 \nL 152.494767 120.536724 \nL 152.70858 120.536724 \nL 152.922394 120.536724 \nL 153.136207 120.536724 \nL 153.350021 123.703205 \nL 153.563835 123.703205 \nL 153.777648 123.339177 \nL 153.991462 122.599751 \nL 154.205275 122.15155 \nL 154.419089 122.15155 \nL 154.632902 123.012714 \nL 154.846716 123.012714 \nL 155.06053 123.012714 \nL 155.274343 123.030113 \nL 155.488157 122.799024 \nL 155.70197 119.791867 \nL 155.915784 119.638799 \nL 156.129598 112.723029 \nL 156.343411 112.723029 \nL 156.557225 112.723029 \nL 156.771038 112.723029 \nL 156.984852 112.723029 \nL 157.198665 114.156448 \nL 157.412479 113.410629 \nL 157.626293 112.808624 \nL 157.840106 112.808624 \nL 158.05392 112.808624 \nL 158.267733 112.808624 \nL 158.481547 112.808624 \nL 158.695361 112.808624 \nL 158.909174 111.642985 \nL 159.122988 110.041773 \nL 159.336801 109.480527 \nL 159.550615 109.480527 \nL 159.764428 109.480527 \nL 159.978242 109.480527 \nL 160.192056 109.480527 \nL 160.405869 120.9174 \nL 160.619683 120.299526 \nL 160.833496 120.106711 \nL 161.04731 120.341067 \nL 161.261124 120.341067 \nL 161.474937 120.341067 \nL 161.688751 115.25268 \nL 161.902564 115.25268 \nL 162.116378 115.25268 \nL 162.330191 115.459842 \nL 162.544005 115.459842 \nL 162.757819 114.777914 \nL 162.971632 116.480483 \nL 163.185446 116.480483 \nL 163.399259 116.480483 \nL 163.613073 116.480483 \nL 163.826887 116.480483 \nL 164.0407 118.148418 \nL 164.254514 118.148418 \nL 164.468327 109.84396 \nL 164.682141 109.84396 \nL 164.895954 109.772635 \nL 165.109768 109.772635 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173.662311 90.820573 \nL 173.876125 90.820573 \nL 174.089939 90.820573 \nL 174.303752 87.592806 \nL 174.517566 87.900849 \nL 174.731379 87.830812 \nL 174.945193 87.830812 \nL 175.159006 87.830812 \nL 175.37282 87.830812 \nL 175.586634 87.830812 \nL 175.800447 87.830812 \nL 176.014261 87.711113 \nL 176.228074 87.711113 \nL 176.441888 84.895154 \nL 176.655702 84.895154 \nL 176.869515 84.895154 \nL 177.083329 84.895154 \nL 177.297142 84.895154 \nL 177.510956 84.895154 \nL 177.724769 81.198519 \nL 177.938583 81.198519 \nL 178.152397 80.876558 \nL 178.36621 81.697338 \nL 178.580024 81.697338 \nL 178.793837 81.697338 \nL 179.007651 81.697338 \nL 179.221465 81.697338 \nL 179.435278 83.835981 \nL 179.649092 83.835981 \nL 179.862905 83.269207 \nL 180.076719 82.361225 \nL 180.290532 81.662132 \nL 180.504346 81.662132 \nL 180.71816 81.662132 \nL 180.931973 81.662132 \nL 181.145787 82.805355 \nL 181.3596 82.805355 \nL 181.573414 83.054084 \nL 181.787228 83.054084 \nL 182.001041 83.013164 \nL 182.214855 83.313367 \nL 182.428668 83.313367 \nL 182.642482 83.313367 \nL 182.856296 82.502683 \nL 183.070109 82.502683 \nL 183.283923 82.719921 \nL 183.497736 82.719921 \nL 183.71155 82.719921 \nL 183.925363 82.973154 \nL 184.139177 82.873739 \nL 184.352991 82.873739 \nL 184.566804 86.898702 \nL 184.780618 86.898702 \nL 184.994431 86.915273 \nL 185.208245 86.915273 \nL 185.422059 86.915273 \nL 185.635872 86.915273 \nL 185.849686 86.675479 \nL 186.063499 86.679278 \nL 186.277313 87.075061 \nL 186.491126 86.895258 \nL 186.70494 85.465634 \nL 186.918754 85.465634 \nL 187.132567 85.465634 \nL 187.346381 85.465634 \nL 187.560194 85.793335 \nL 187.774008 85.793335 \nL 187.987822 87.851106 \nL 188.201635 87.851106 \nL 188.415449 88.178033 \nL 188.629262 88.178033 \nL 188.843076 88.178033 \nL 189.056889 88.178033 \nL 189.270703 88.32789 \nL 189.484517 88.32789 \nL 189.69833 85.189659 \nL 189.912144 85.20805 \nL 190.125957 84.269332 \nL 190.339771 84.151943 \nL 190.553585 84.151943 \nL 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199.319941 77.233697 \nL 199.533755 77.279344 \nL 199.747569 77.279344 \nL 199.961382 78.599878 \nL 200.175196 78.599878 \nL 200.389009 77.771738 \nL 200.602823 77.771738 \nL 200.816637 77.61398 \nL 201.03045 77.61398 \nL 201.244264 77.546253 \nL 201.458077 77.496222 \nL 201.671891 73.317191 \nL 201.885704 73.317191 \nL 202.099518 72.6972 \nL 202.313332 72.6972 \nL 202.527145 72.6972 \nL 202.740959 72.781914 \nL 202.954772 72.781914 \nL 203.168586 73.351128 \nL 203.3824 73.285002 \nL 203.596213 73.285002 \nL 203.810027 72.703362 \nL 204.02384 72.703362 \nL 204.237654 72.703362 \nL 204.451467 72.703362 \nL 204.665281 72.563124 \nL 204.879095 72.563124 \nL 205.092908 69.784569 \nL 205.306722 69.912511 \nL 205.520535 69.955526 \nL 205.734349 69.955526 \nL 205.948163 69.955526 \nL 206.161976 69.955526 \nL 206.37579 69.955526 \nL 206.589603 69.955973 \nL 206.803417 68.353459 \nL 207.01723 67.950441 \nL 207.231044 67.498017 \nL 207.444858 67.498017 \nL 207.658671 67.498017 \nL 207.872485 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242.296472 67.415778 \nL 242.510285 67.415778 \nL 242.724099 66.966275 \nL 242.937913 64.339924 \nL 243.151726 64.274924 \nL 243.36554 64.236917 \nL 243.579353 64.236917 \nL 243.793167 63.781183 \nL 244.00698 63.781183 \nL 244.220794 63.781183 \nL 244.434608 63.781183 \nL 244.648421 66.579309 \nL 244.862235 66.579309 \nL 245.076048 66.667586 \nL 245.289862 66.650213 \nL 245.503676 66.650213 \nL 245.717489 66.972585 \nL 245.931303 66.972585 \nL 246.145116 66.972585 \nL 246.35893 62.857023 \nL 246.572743 62.428903 \nL 246.786557 62.428903 \nL 247.000371 63.709376 \nL 247.214184 63.77891 \nL 247.427998 63.77891 \nL 247.641811 63.803941 \nL 247.855625 63.803941 \nL 248.069439 64.088852 \nL 248.283252 64.088852 \nL 248.497066 64.401357 \nL 248.710879 64.401357 \nL 248.924693 64.084058 \nL 249.138506 64.120934 \nL 249.35232 64.120934 \nL 249.566134 63.652786 \nL 249.779947 63.652786 \nL 249.993761 62.623561 \nL 250.207574 62.623561 \nL 250.421388 62.885318 \nL 250.635202 62.885318 \nL 250.849015 62.619519 \nL 251.062829 62.541651 \nL 251.276642 62.541651 \nL 251.490456 62.709775 \nL 251.704269 62.709775 \nL 251.918083 62.269723 \nL 252.131897 62.269723 \nL 252.34571 62.869221 \nL 252.559524 62.869221 \nL 252.773337 63.566491 \nL 252.987151 63.462763 \nL 253.200965 63.462763 \nL 253.414778 63.469383 \nL 253.628592 64.945587 \nL 253.842405 64.945587 \nL 254.056219 64.945587 \nL 254.270032 63.672151 \nL 254.483846 63.672151 \nL 254.69766 62.016887 \nL 254.911473 62.028845 \nL 255.125287 62.028845 \nL 255.3391 64.039624 \nL 255.552914 64.039624 \nL 255.766728 64.039624 \nL 255.980541 64.039624 \nL 256.194355 64.418283 \nL 256.408168 64.418283 \nL 256.621982 64.614243 \nL 256.835795 64.639468 \nL 256.835795 49.741774 \nL 256.835795 49.741774 \nL 256.621982 50.429485 \nL 256.408168 50.238311 \nL 256.194355 50.238311 \nL 255.980541 49.758095 \nL 255.766728 49.758095 \nL 255.552914 49.758095 \nL 255.3391 49.758095 \nL 255.125287 50.327753 \nL 254.911473 50.327753 \nL 254.69766 50.742001 \nL 254.483846 51.486521 \nL 254.270032 51.486521 \nL 254.056219 52.796988 \nL 253.842405 52.796988 \nL 253.628592 52.796988 \nL 253.414778 52.807261 \nL 253.200965 52.77434 \nL 252.987151 52.77434 \nL 252.773337 52.076195 \nL 252.559524 51.878541 \nL 252.34571 51.878541 \nL 252.131897 51.631137 \nL 251.918083 51.631137 \nL 251.704269 51.613522 \nL 251.490456 51.613522 \nL 251.276642 50.895704 \nL 251.062829 50.895704 \nL 250.849015 50.208988 \nL 250.635202 50.28639 \nL 250.421388 50.28639 \nL 250.207574 50.130953 \nL 249.993761 50.130953 \nL 249.779947 50.062373 \nL 249.566134 50.062373 \nL 249.35232 51.321242 \nL 249.138506 51.321242 \nL 248.924693 51.547647 \nL 248.710879 51.656147 \nL 248.497066 51.656147 \nL 248.283252 51.304697 \nL 248.069439 51.304697 \nL 247.855625 51.326253 \nL 247.641811 51.326253 \nL 247.427998 51.282325 \nL 247.214184 51.282325 \nL 247.000371 51.767045 \nL 246.786557 51.212851 \nL 246.572743 51.212851 \nL 246.35893 51.589476 \nL 246.145116 50.850611 \nL 245.931303 50.850611 \nL 245.717489 50.850611 \nL 245.503676 50.02564 \nL 245.289862 50.02564 \nL 245.076048 50.749444 \nL 244.862235 50.64852 \nL 244.648421 50.64852 \nL 244.434608 50.558318 \nL 244.220794 50.558318 \nL 244.00698 50.558318 \nL 243.793167 50.558318 \nL 243.579353 51.587862 \nL 243.36554 51.587862 \nL 243.151726 50.794488 \nL 242.937913 50.855715 \nL 242.724099 50.307259 \nL 242.510285 50.924932 \nL 242.296472 50.924932 \nL 242.082658 50.924932 \nL 241.868845 50.924932 \nL 241.655031 50.352653 \nL 241.441217 50.352653 \nL 241.227404 51.599372 \nL 241.01359 51.308028 \nL 240.799777 51.308028 \nL 240.585963 51.848985 \nL 240.37215 51.848985 \nL 240.158336 51.848985 \nL 239.944522 51.848985 \nL 239.730709 52.421087 \nL 239.516895 52.421087 \nL 239.303082 52.307677 \nL 239.089268 51.615635 \nL 238.875454 51.615635 \nL 238.661641 51.049737 \nL 238.447827 51.049737 \nL 238.234014 51.049737 \nL 238.0202 51.049737 \nL 237.806387 50.721739 \nL 237.592573 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211.721129 57.062263 \nL 211.507316 57.062263 \nL 211.293502 57.062263 \nL 211.079689 57.062263 \nL 210.865875 57.160176 \nL 210.652061 56.962237 \nL 210.438248 56.962237 \nL 210.224434 57.437605 \nL 210.010621 57.302012 \nL 209.796807 57.302012 \nL 209.582993 57.302012 \nL 209.36918 57.302012 \nL 209.155366 57.302012 \nL 208.941553 56.427635 \nL 208.727739 55.938768 \nL 208.513926 55.938768 \nL 208.300112 57.236435 \nL 208.086298 57.236435 \nL 207.872485 57.236435 \nL 207.658671 57.236435 \nL 207.444858 57.236435 \nL 207.231044 57.236435 \nL 207.01723 57.551801 \nL 206.803417 58.444232 \nL 206.589603 58.336825 \nL 206.37579 57.928703 \nL 206.161976 57.928703 \nL 205.948163 57.928703 \nL 205.734349 57.928703 \nL 205.520535 57.928703 \nL 205.306722 57.92152 \nL 205.092908 56.663928 \nL 204.879095 57.075818 \nL 204.665281 57.075818 \nL 204.451467 58.244295 \nL 204.237654 58.244295 \nL 204.02384 58.244295 \nL 203.810027 58.244295 \nL 203.596213 58.436672 \nL 203.3824 58.436672 \nL 203.168586 59.096423 \nL 202.954772 58.147326 \nL 202.740959 58.147326 \nL 202.527145 57.619732 \nL 202.313332 57.619732 \nL 202.099518 57.619732 \nL 201.885704 57.733922 \nL 201.671891 57.733922 \nL 201.458077 57.077591 \nL 201.244264 57.424456 \nL 201.03045 57.589425 \nL 200.816637 57.589425 \nL 200.602823 58.465634 \nL 200.389009 58.465634 \nL 200.175196 58.75308 \nL 199.961382 58.75308 \nL 199.747569 58.960159 \nL 199.533755 58.960159 \nL 199.319941 58.124691 \nL 199.106128 57.424626 \nL 198.892314 57.424626 \nL 198.678501 56.465501 \nL 198.464687 56.426852 \nL 198.250874 56.426852 \nL 198.03706 56.76061 \nL 197.823246 56.76061 \nL 197.609433 56.76061 \nL 197.395619 54.673282 \nL 197.181806 56.892749 \nL 196.967992 56.892749 \nL 196.754178 58.332658 \nL 196.540365 58.332658 \nL 196.326551 58.197703 \nL 196.112738 58.197703 \nL 195.898924 58.197703 \nL 195.685111 58.197703 \nL 195.471297 58.828432 \nL 195.257483 58.652396 \nL 195.04367 58.177502 \nL 194.829856 58.084085 \nL 194.616043 55.532949 \nL 194.402229 55.532949 \nL 194.188415 55.532949 \nL 193.974602 55.532949 \nL 193.760788 55.532949 \nL 193.546975 55.847404 \nL 193.333161 56.960669 \nL 193.119348 56.960669 \nL 192.905534 57.227026 \nL 192.69172 57.227026 \nL 192.477907 57.227026 \nL 192.264093 57.227026 \nL 192.05028 57.227026 \nL 191.836466 55.238204 \nL 191.622652 54.747633 \nL 191.408839 54.747633 \nL 191.195025 54.740934 \nL 190.981212 56.35002 \nL 190.767398 56.35002 \nL 190.553585 56.35002 \nL 190.339771 56.35002 \nL 190.125957 56.587964 \nL 189.912144 57.387934 \nL 189.69833 59.224277 \nL 189.484517 58.528044 \nL 189.270703 58.528044 \nL 189.056889 58.231935 \nL 188.843076 58.231935 \nL 188.629262 58.231935 \nL 188.415449 58.231935 \nL 188.201635 58.015639 \nL 187.987822 58.015639 \nL 187.774008 56.51456 \nL 187.560194 56.51456 \nL 187.346381 55.90572 \nL 187.132567 55.90572 \nL 186.918754 55.90572 \nL 186.70494 55.90572 \nL 186.491126 56.838615 \nL 186.277313 57.183374 \nL 186.063499 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76.111057 \nL 102.248574 76.111057 \nL 102.462388 76.111057 \nL 102.676202 77.483141 \nL 102.890015 72.499455 \nL 103.103829 69.428174 \nL 103.317642 69.428174 \nL 103.531456 69.428174 \nL 103.74527 69.346496 \nL 103.959083 69.346496 \nL 104.172897 69.346496 \nL 104.38671 69.346496 \nL 104.600524 68.762592 \nL 104.814337 71.081157 \nL 105.028151 71.081157 \nL 105.241965 71.081157 \nL 105.455778 71.081157 \nL 105.669592 70.975868 \nL 105.883405 70.975868 \nL 106.097219 70.975868 \nL 106.311033 70.716936 \nL 106.524846 70.975139 \nL 106.73866 63.93451 \nL 106.952473 63.93451 \nL 107.166287 63.93451 \nL 107.3801 63.93451 \nL 107.593914 64.229239 \nL 107.807728 64.229239 \nL 108.021541 68.381364 \nL 108.235355 68.381364 \nL 108.449168 68.801821 \nL 108.662982 68.755117 \nL 108.876796 68.755117 \nL 109.090609 68.755117 \nL 109.304423 68.755117 \nL 109.518236 69.382886 \nL 109.73205 75.790286 \nL 109.945863 75.790286 \nL 110.159677 78.243223 \nL 110.373491 76.452343 \nL 110.587304 76.398989 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119.353661 69.090559 \nL 119.567475 69.804895 \nL 119.781288 71.072333 \nL 119.995102 71.072333 \nL 120.208915 65.398013 \nL 120.422729 65.398013 \nL 120.636543 65.398013 \nL 120.850356 65.398013 \nL 121.06417 65.398013 \nL 121.277983 65.398013 \nL 121.491797 65.084551 \nL 121.705611 65.084551 \nL 121.919424 65.084551 \nL 122.133238 65.528307 \nL 122.347051 65.528307 \nL 122.560865 65.528307 \nL 122.774678 65.528307 \nL 122.988492 65.528307 \nL 123.202306 65.528307 \nL 123.416119 62.852961 \nL 123.629933 62.852961 \nL 123.843746 68.714199 \nL 124.05756 67.705172 \nL 124.271374 67.705172 \nL 124.485187 67.705172 \nL 124.699001 67.705172 \nL 124.912814 67.705172 \nL 125.126628 68.609237 \nL 125.340441 69.853893 \nL 125.554255 77.67953 \nL 125.768069 77.67953 \nL 125.981882 77.302037 \nL 126.195696 77.302037 \nL 126.409509 77.302037 \nL 126.623323 77.302037 \nL 126.837137 77.783412 \nL 127.05095 77.783412 \nL 127.264764 81.437066 \nL 127.478577 81.437066 \nL 127.692391 81.437066 \nL 127.906204 81.788121 \nL 128.120018 81.788121 \nL 128.333832 81.788121 \nL 128.547645 81.99022 \nL 128.761459 81.99022 \nL 128.975272 72.059412 \nL 129.189086 71.796801 \nL 129.4029 71.796801 \nL 129.616713 71.796801 \nL 129.830527 71.947031 \nL 130.04434 71.947031 \nL 130.258154 71.947031 \nL 130.471968 69.395907 \nL 130.685781 70.291313 \nL 130.899595 71.900389 \nL 131.113408 71.900389 \nL 131.327222 71.900389 \nL 131.541035 71.900389 \nL 131.754849 72.092109 \nL 131.968663 72.092109 \nL 132.182476 72.092109 \nL 132.39629 68.854612 \nL 132.610103 70.317535 \nL 132.823917 70.317535 \nL 133.037731 70.317535 \nL 133.251544 70.317535 \nL 133.465358 70.317535 \nL 133.679171 70.275838 \nL 133.892985 70.275838 \nL 134.106798 80.769355 \nL 134.320612 80.973477 \nL 134.534426 79.086322 \nL 134.748239 79.086322 \nL 134.962053 79.086322 \nL 135.175866 79.086322 \nL 135.38968 79.086322 \nL 135.603494 79.025613 \nL 135.817307 71.408199 \nL 136.031121 73.671743 \nL 136.244934 74.302608 \nL 136.458748 74.302608 \nL 136.672561 74.302608 \nL 136.886375 74.302608 \nL 137.100189 74.302608 \nL 137.314002 74.302608 \nL 137.527816 70.018388 \nL 137.741629 72.760244 \nL 137.955443 72.760244 \nL 138.169257 72.233736 \nL 138.38307 72.233736 \nL 138.596884 72.233736 \nL 138.810697 72.233736 \nL 139.024511 72.233736 \nL 139.238324 72.233736 \nL 139.452138 71.028044 \nL 139.665952 63.488906 \nL 139.879765 63.488906 \nL 140.093579 61.788474 \nL 140.307392 61.788474 \nL 140.521206 61.788474 \nL 140.73502 61.788474 \nL 140.948833 61.788474 \nL 141.162647 65.079342 \nL 141.37646 73.673944 \nL 141.590274 73.673944 \nL 141.804087 73.673944 \nL 142.017901 73.654387 \nL 142.231715 73.654387 \nL 142.445528 73.654387 \nL 142.659342 73.654387 \nL 142.873155 76.694127 \nL 143.086969 71.700816 \nL 143.300783 71.210598 \nL 143.514596 71.210598 \nL 143.72841 71.210598 \nL 143.942223 71.185103 \nL 144.156037 71.185103 \nL 144.36985 71.185103 \nL 144.583664 66.096935 \nL 144.797478 68.013036 \nL 145.011291 68.013036 \nL 145.225105 67.859518 \nL 145.438918 67.859518 \nL 145.652732 67.859518 \nL 145.866546 67.991772 \nL 146.080359 67.991772 \nL 146.294173 66.874892 \nL 146.507986 66.353937 \nL 146.7218 66.353937 \nL 146.935613 66.353937 \nL 147.149427 66.635702 \nL 147.363241 66.635702 \nL 147.577054 66.635702 \nL 147.790868 66.671961 \nL 148.004681 69.0588 \nL 148.218495 70.664776 \nL 148.432309 70.664776 \nL 148.646122 70.664776 \nL 148.859936 70.664776 \nL 149.073749 70.470663 \nL 149.287563 70.470663 \nL 149.501376 70.470663 \nL 149.71519 70.482871 \nL 149.929004 67.069481 \nL 150.142817 59.188845 \nL 150.356631 59.188845 \nL 150.570444 59.188845 \nL 150.784258 59.188845 \nL 150.998072 59.764792 \nL 151.211885 59.764792 \nL 151.425699 65.465332 \nL 151.639512 66.994976 \nL 151.853326 81.663632 \nL 152.067139 81.663632 \nL 152.280953 81.663632 \nL 152.494767 81.663632 \nL 152.70858 81.663632 \nL 152.922394 81.314522 \nL 153.136207 80.344667 \nL 153.350021 80.344667 \nL 153.563835 72.435932 \nL 153.777648 72.435932 \nL 153.991462 72.435932 \nL 154.205275 72.435932 \nL 154.419089 72.435932 \nL 154.632902 72.435932 \nL 154.846716 72.910366 \nL 155.06053 72.337204 \nL 155.274343 74.330617 \nL 155.488157 74.005489 \nL 155.70197 74.005489 \nL 155.915784 74.005489 \nL 156.129598 74.005489 \nL 156.343411 74.005489 \nL 156.557225 75.333183 \nL 156.771038 75.327666 \nL 156.984852 76.459934 \nL 157.198665 76.459934 \nL 157.412479 76.782253 \nL 157.626293 76.782253 \nL 157.840106 76.782253 \nL 158.05392 76.782253 \nL 158.267733 76.782253 \nL 158.481547 75.342674 \nL 158.695361 71.424552 \nL 158.909174 71.424552 \nL 159.122988 71.932848 \nL 159.336801 71.932848 \nL 159.550615 71.932848 \nL 159.764428 71.932848 \nL 159.978242 71.932848 \nL 160.192056 71.932848 \nL 160.405869 71.379344 \nL 160.619683 77.011499 \nL 160.833496 77.130579 \nL 161.04731 77.130579 \nL 161.261124 71.790373 \nL 161.474937 71.790373 \nL 161.688751 71.790373 \nL 161.902564 71.790373 \nL 162.116378 72.289332 \nL 162.330191 71.654913 \nL 162.544005 71.663981 \nL 162.757819 70.95865 \nL 162.971632 70.843555 \nL 163.185446 76.284301 \nL 163.399259 76.284301 \nL 163.613073 76.284301 \nL 163.826887 71.490557 \nL 164.0407 71.490557 \nL 164.254514 72.247052 \nL 164.468327 72.333207 \nL 164.682141 72.191699 \nL 164.895954 72.191699 \nL 165.109768 72.191699 \nL 165.323582 72.191699 \nL 165.537395 70.952054 \nL 165.751209 71.068742 \nL 165.965022 71.068742 \nL 166.178836 70.223803 \nL 166.39265 74.202228 \nL 166.606463 74.639487 \nL 166.820277 74.639487 \nL 167.03409 74.639487 \nL 167.247904 74.444857 \nL 167.461717 74.444857 \nL 167.675531 74.444857 \nL 167.889345 74.444857 \nL 168.103158 77.779706 \nL 168.316972 77.819609 \nL 168.530785 77.443177 \nL 168.744599 77.443177 \nL 168.958413 77.983077 \nL 169.172226 77.983077 \nL 169.38604 77.983077 \nL 169.599853 77.983077 \nL 169.813667 72.180276 \nL 170.02748 72.180276 \nL 170.241294 72.870906 \nL 170.455108 73.024836 \nL 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187.774008 72.958487 \nL 187.987822 72.958487 \nL 188.201635 72.958487 \nL 188.415449 72.958487 \nL 188.629262 70.534172 \nL 188.843076 70.534172 \nL 189.056889 70.534172 \nL 189.270703 70.841654 \nL 189.484517 70.762133 \nL 189.69833 71.441785 \nL 189.912144 71.441785 \nL 190.125957 71.441785 \nL 190.339771 67.832235 \nL 190.553585 67.896706 \nL 190.767398 67.896706 \nL 190.981212 67.896706 \nL 191.195025 67.343023 \nL 191.408839 67.293137 \nL 191.622652 68.046105 \nL 191.836466 68.046105 \nL 192.05028 70.116169 \nL 192.264093 70.116169 \nL 192.477907 70.112934 \nL 192.69172 70.112934 \nL 192.905534 70.112934 \nL 193.119348 70.439851 \nL 193.333161 70.82836 \nL 193.546975 70.84484 \nL 193.760788 69.879418 \nL 193.974602 69.879418 \nL 194.188415 69.879418 \nL 194.402229 69.810504 \nL 194.616043 69.810504 \nL 194.829856 69.810504 \nL 195.04367 70.277589 \nL 195.257483 70.026079 \nL 195.471297 70.599929 \nL 195.685111 70.599929 \nL 195.898924 70.599929 \nL 196.112738 70.599929 \nL 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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 400x400 with 0 Axes>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "for o in [1, 2]:\n",
    "    fig = plt.figure(dpi=100, figsize=(4, 4))\n",
    "    ax = fig.add_subplot(111)\n",
    "    ax.set_title(f'Surrogate model - order {o}')\n",
    "\n",
    "    for k in sorted(data_results.keys()):\n",
    "        ls_iter, order = k\n",
    "\n",
    "        if o == order:\n",
    "            \n",
    "            data = np.array(data_results[k])\n",
    "\n",
    "            means = data.mean(axis=0)\n",
    "            confidences = (1.9 * data.std(axis=0)) / np.sqrt(N_RUNS)\n",
    "            \n",
    "            ax.plot(means, label=f'LS {ls_iter}')\n",
    "            ax.fill_between(np.arange(ILS - SS), means-confidences, means+confidences, alpha=.25)\n",
    "\n",
    "    ax.grid()\n",
    "    ax.legend(loc=4)\n",
    "    ax.set_ylabel('R²')\n",
    "    ax.set_xlabel('Iteration')\n",
    "    ax.set_ylim(0.5, 1)\n",
    "    # ax.set_yscale('log')\n",
    "    fig.savefig(os.path.join(output_images_folder, f'model_scores_SO-{o}.pdf'), format='pdf', bbox_inches='tight')\n",
    "    #plt.show()\n",
    "fig.clf()"
   ]
  },
  {
   "source": [
    "### 3. Display more selected attributes"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "results_folder = os.path.join(data_folder, 'results')\n",
    "results_file = os.path.join(results_folder, 'optimization_comparisons_attributes.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_solutions = {}\n",
    "with open(results_file, 'r') as f:\n",
    "    for line in f.readlines():\n",
    "        order = line.split(';')[0].split('-')[5].replace('SO_', '')\n",
    "        ls_iter = line.split(';')[0].split('-')[3].replace('LS_', '')\n",
    "        key = (int(ls_iter), int(order))\n",
    "        data_line = line.split(';')[2].replace('[', '').replace(']', '')\n",
    "        binary_sol = list(map(int, data_line.split(' ')))\n",
    "\n",
    "        if key not in all_solutions:\n",
    "            all_solutions[key] = []\n",
    "\n",
    "        all_solutions[key].append(binary_sol)"
   ]
  },
  {
   "source": [
    "#### Global occurences"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "binary_sols = []\n",
    "binary_sol_orders = {}\n",
    "for k in all_solutions:\n",
    "    ls_iter, order = k\n",
    "\n",
    "    if order not in binary_sol_orders:\n",
    "        binary_sol_orders[order] = []\n",
    "\n",
    "    for sol in all_solutions[k]:\n",
    "        binary_sols.append(sol)\n",
    "\n",
    "        binary_sol_orders[order].append(sol)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 800x400 with 0 Axes>"
     },
     "metadata": {}
    },
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 800x400 with 0 Axes>"
     },
     "metadata": {}
    }
   ],
   "source": [
    "binary_sum = np.sum(binary_sols, axis=0)\n",
    "\n",
    "# overall\n",
    "fig = plt.figure(dpi=100, figsize=(8, 4))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.set_title('Surrogate - attributes choices')\n",
    "ax.bar(np.arange(1, len(binary_sum) + 1), binary_sum, label='All')\n",
    "ax.set_xticks(np.arange(1, len(binary_sum) + 1))\n",
    "ax.set_ylabel('Occurences')\n",
    "ax.set_xlabel('Attribute index')\n",
    "fig.savefig(os.path.join(output_images_folder, f'attributes_occurences.pdf'), format='pdf', bbox_inches='tight')\n",
    "fig.clf()\n",
    "\n",
    "# for each order\n",
    "fig = plt.figure(dpi=100, figsize=(8, 4))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.set_title('Surrogate - attributes choices depending of order')\n",
    "\n",
    "widths = [-0.2, 0.2]\n",
    "for order in [1, 2]:\n",
    "    binary_sum = np.sum(binary_sol_orders[order], axis=0)\n",
    "    ax.bar(np.arange(1, len(binary_sum) + 1) - widths[order - 1], binary_sum, 0.4, label=f'Order {order}')\n",
    "ax.set_xticks(np.arange(1, len(binary_sum) + 1))\n",
    "ax.set_ylabel('Occurences')\n",
    "ax.set_xlabel('Attribute index')\n",
    "ax.legend(loc=2)\n",
    "fig.savefig(os.path.join(output_images_folder, f'attributes_occurences_orders.pdf'), format='pdf', bbox_inches='tight')\n",
    "fig.clf()\n"
   ]
  }
 ]
}