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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"
  },
  "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": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "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": 44,
   "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": 71,
   "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": 82,
   "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",
    "        scores = []\n",
    "        with open(data_file, 'r') as f:\n",
    "            lines = f.readlines()\n",
    "\n",
    "            for line in lines[1:SS + 1]:\n",
    "                scores.append(float(line.split(';')[-1]))\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(';')[-2]))\n",
    "\n",
    "        # append run data into dictionnary with its key\n",
    "        data_results[key].append(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "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": 97,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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122.035314 85.395067 \nL 122.238426 85.395067 \nL 122.441539 85.395067 \nL 122.644651 85.395067 \nL 122.847763 85.395067 \nL 123.050875 85.395067 \nL 123.253988 85.395067 \nL 123.4571 85.395067 \nL 123.660212 85.540644 \nL 123.863324 85.540644 \nL 124.066436 85.076122 \nL 124.269549 84.825283 \nL 124.472661 84.825283 \nL 124.675773 84.726298 \nL 124.878885 84.097551 \nL 125.081997 84.097551 \nL 125.28511 84.097551 \nL 125.488222 80.732266 \nL 125.691334 80.732266 \nL 125.894446 80.732266 \nL 126.097558 80.732266 \nL 126.300671 79.987762 \nL 126.503783 79.987762 \nL 126.706895 79.987762 \nL 126.910007 79.987762 \nL 127.113119 79.281635 \nL 127.316232 70.760792 \nL 127.519344 70.760792 \nL 127.722456 70.760792 \nL 127.925568 70.760792 \nL 128.12868 70.760792 \nL 128.331793 70.760792 \nL 128.534905 70.760792 \nL 128.738017 70.760792 \nL 128.941129 70.760792 \nL 129.144241 70.760792 \nL 129.347354 70.760792 \nL 129.550466 70.760792 \nL 129.753578 70.760792 \nL 129.95669 70.760792 \nL 130.159802 70.760792 \nL 130.362915 70.760792 \nL 130.566027 70.760792 \nL 130.769139 70.760792 \nL 130.972251 67.311311 \nL 131.175363 67.311311 \nL 131.378476 67.311311 \nL 131.581588 66.998863 \nL 131.7847 66.998863 \nL 131.987812 66.998863 \nL 132.190924 64.103258 \nL 132.394037 64.097693 \nL 132.597149 64.097693 \nL 132.800261 64.097693 \nL 133.003373 64.097693 \nL 133.206485 64.088265 \nL 133.409598 64.088265 \nL 133.61271 64.088265 \nL 133.815822 64.088265 \nL 134.018934 64.088265 \nL 134.222046 64.088265 \nL 134.425159 64.088265 \nL 134.628271 64.088265 \nL 134.831383 64.088265 \nL 135.034495 64.088265 \nL 135.237607 64.088265 \nL 135.44072 64.088265 \nL 135.643832 64.088265 \nL 135.846944 62.937061 \nL 136.050056 62.937061 \nL 136.253169 62.937061 \nL 136.456281 62.937061 \nL 136.659393 62.937061 \nL 136.862505 62.873646 \nL 137.065617 62.8238 \nL 137.26873 62.8238 \nL 137.471842 61.280511 \nL 137.674954 61.280511 \nL 137.878066 61.280511 \nL 138.081178 61.280511 \nL 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\n"
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75.784375 \nL 127.722456 75.784375 \nL 127.925568 75.784375 \nL 128.12868 75.784375 \nL 128.331793 75.784375 \nL 128.534905 75.784375 \nL 128.738017 75.784375 \nL 128.941129 75.784375 \nL 129.144241 75.800741 \nL 129.347354 75.800741 \nL 129.550466 75.800741 \nL 129.753578 75.800741 \nL 129.95669 75.800741 \nL 130.159802 75.800741 \nL 130.362915 75.800741 \nL 130.566027 75.800741 \nL 130.769139 75.800741 \nL 130.972251 75.800741 \nL 131.175363 74.585817 \nL 131.378476 73.3721 \nL 131.581588 73.3721 \nL 131.7847 73.209521 \nL 131.987812 73.209521 \nL 132.190924 73.209521 \nL 132.394037 73.209521 \nL 132.597149 73.209521 \nL 132.800261 72.827125 \nL 133.003373 72.827125 \nL 133.206485 72.827125 \nL 133.409598 72.827125 \nL 133.61271 71.568081 \nL 133.815822 71.568081 \nL 134.018934 71.05577 \nL 134.222046 71.05577 \nL 134.425159 71.05577 \nL 134.628271 70.837069 \nL 134.831383 70.837069 \nL 135.034495 70.837069 \nL 135.237607 70.837069 \nL 135.44072 70.536797 \nL 135.643832 70.536797 \nL 135.846944 70.536797 \nL 136.050056 70.536797 \nL 136.253169 70.536797 \nL 136.456281 70.536797 \nL 136.659393 70.536797 \nL 136.862505 70.536797 \nL 137.065617 70.536797 \nL 137.26873 70.354438 \nL 137.471842 70.354438 \nL 137.674954 70.354438 \nL 137.878066 70.354438 \nL 138.081178 70.354438 \nL 138.284291 70.354438 \nL 138.487403 70.354438 \nL 138.690515 70.354438 \nL 138.893627 70.354438 \nL 139.096739 70.354438 \nL 139.299852 70.354438 \nL 139.502964 69.557563 \nL 139.706076 69.451013 \nL 139.909188 69.423798 \nL 140.1123 69.423798 \nL 140.315413 69.423798 \nL 140.518525 68.414634 \nL 140.721637 68.414634 \nL 140.924749 68.414634 \nL 141.127861 68.414634 \nL 141.330974 68.414634 \nL 141.534086 68.414634 \nL 141.737198 68.414634 \nL 141.94031 68.414634 \nL 142.143422 68.414634 \nL 142.346535 68.414634 \nL 142.549647 68.414634 \nL 142.752759 68.414634 \nL 142.955871 68.414634 \nL 143.158983 68.414634 \nL 143.362096 68.414634 \nL 143.565208 68.414634 \nL 143.76832 68.414634 \nL 143.971432 68.414634 \nL 144.174544 68.414634 \nL 144.377657 68.414634 \nL 144.580769 68.414634 \nL 144.783881 68.414634 \nL 144.986993 68.403984 \nL 145.190105 68.402244 \nL 145.393218 68.402244 \nL 145.59633 68.402244 \nL 145.799442 68.402244 \nL 146.002554 68.402244 \nL 146.205666 68.402244 \nL 146.408779 68.402244 \nL 146.611891 68.402244 \nL 146.815003 68.402244 \nL 147.018115 68.402244 \nL 147.221227 68.402244 \nL 147.42434 68.402244 \nL 147.627452 68.402244 \nL 147.830564 68.402244 \nL 148.033676 68.402244 \nL 148.236788 68.402244 \nL 148.439901 67.821847 \nL 148.643013 67.805665 \nL 148.846125 67.805665 \nL 149.049237 67.805665 \nL 149.25235 67.805665 \nL 149.455462 67.805665 \nL 149.658574 66.948098 \nL 149.861686 66.948098 \nL 150.064798 66.948098 \nL 150.267911 66.948098 \nL 150.471023 66.948098 \nL 150.674135 66.948098 \nL 150.877247 66.948098 \nL 151.080359 66.948098 \nL 151.283472 66.948098 \nL 151.486584 66.630093 \nL 151.689696 66.630093 \nL 151.892808 66.630093 \nL 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168.344897 66.413223 \nL 168.548009 66.413223 \nL 168.751121 66.413223 \nL 168.954233 66.413223 \nL 169.157345 66.450427 \nL 169.360458 66.450427 \nL 169.56357 66.450427 \nL 169.766682 66.450427 \nL 169.969794 66.450427 \nL 170.172906 66.450427 \nL 170.376019 66.450427 \nL 170.579131 66.450427 \nL 170.782243 66.462138 \nL 170.985355 66.462138 \nL 171.188467 66.462138 \nL 171.39158 66.462138 \nL 171.594692 66.462138 \nL 171.797804 66.462138 \nL 172.000916 66.462138 \nL 172.204028 65.898097 \nL 172.407141 65.898097 \nL 172.610253 65.898097 \nL 172.813365 65.898097 \nL 173.016477 65.898097 \nL 173.219589 65.70228 \nL 173.422702 65.70228 \nL 173.625814 65.70228 \nL 173.828926 65.70228 \nL 174.032038 65.70228 \nL 174.23515 65.70228 \nL 174.438263 65.70228 \nL 174.641375 64.512749 \nL 174.844487 64.512749 \nL 175.047599 64.512749 \nL 175.250712 63.253186 \nL 175.453824 63.253186 \nL 175.656936 63.253186 \nL 175.860048 62.064065 \nL 176.06316 62.064065 \nL 176.266273 62.064065 \nL 176.469385 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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'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": 100,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 400x400 with 1 Axes>",
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89.500405 \nL 88.928025 89.500405 \nL 89.131137 89.37445 \nL 89.33425 89.37445 \nL 89.537362 89.37445 \nL 89.740474 89.37445 \nL 89.943586 86.99357 \nL 90.146698 86.99357 \nL 90.349811 86.959498 \nL 90.552923 86.959498 \nL 90.756035 86.959498 \nL 90.959147 82.832728 \nL 91.162259 82.832728 \nL 91.365372 83.243915 \nL 91.568484 83.243915 \nL 91.771596 79.497551 \nL 91.974708 79.497551 \nL 92.17782 78.778781 \nL 92.380933 78.778781 \nL 92.584045 78.778781 \nL 92.787157 78.778781 \nL 92.990269 78.778781 \nL 93.193381 78.778781 \nL 93.396494 78.778781 \nL 93.599606 78.778781 \nL 93.802718 78.69537 \nL 94.00583 78.69537 \nL 94.208942 78.604881 \nL 94.412055 78.570517 \nL 94.615167 78.570517 \nL 94.818279 77.206515 \nL 95.021391 77.206515 \nL 95.224503 77.206515 \nL 95.427616 77.206515 \nL 95.630728 77.206515 \nL 95.83384 77.206515 \nL 96.036952 77.206515 \nL 96.240064 77.287848 \nL 96.443177 77.287848 \nL 96.646289 77.287848 \nL 96.849401 77.287848 \nL 97.052513 77.287848 \nL 97.255626 77.287848 \nL 97.458738 77.287848 \nL 97.66185 77.287848 \nL 97.864962 77.287848 \nL 98.068074 77.287848 \nL 98.271187 77.287848 \nL 98.474299 77.444037 \nL 98.677411 77.280085 \nL 98.880523 77.373564 \nL 99.083635 77.373564 \nL 99.286748 76.30416 \nL 99.48986 76.30416 \nL 99.692972 76.30416 \nL 99.896084 76.30416 \nL 100.099196 76.30416 \nL 100.302309 75.995804 \nL 100.505421 75.995804 \nL 100.708533 75.995804 \nL 100.911645 75.995804 \nL 101.114757 75.995804 \nL 101.31787 75.995804 \nL 101.520982 75.995804 \nL 101.724094 75.995804 \nL 101.927206 75.995804 \nL 102.130318 75.995804 \nL 102.333431 75.995804 \nL 102.536543 75.995804 \nL 102.739655 75.803089 \nL 102.942767 75.803089 \nL 103.145879 69.285872 \nL 103.348992 69.285872 \nL 103.552104 69.285872 \nL 103.755216 68.605416 \nL 103.958328 68.605416 \nL 104.16144 68.605416 \nL 104.364553 68.605416 \nL 104.567665 67.730726 \nL 104.770777 67.730726 \nL 104.973889 67.730726 \nL 105.177001 67.730726 \nL 105.380114 67.730726 \nL 105.583226 67.730726 \nL 105.786338 67.730726 \nL 105.98945 67.758445 \nL 106.192562 67.758445 \nL 106.395675 67.758445 \nL 106.598787 67.758445 \nL 106.801899 67.758445 \nL 107.005011 67.758445 \nL 107.208123 67.758445 \nL 107.411236 67.758445 \nL 107.614348 67.758445 \nL 107.81746 67.758445 \nL 108.020572 67.758445 \nL 108.223684 67.758445 \nL 108.426797 67.758445 \nL 108.629909 67.758445 \nL 108.833021 67.758445 \nL 109.036133 67.758445 \nL 109.239245 67.758445 \nL 109.442358 67.758445 \nL 109.64547 67.758445 \nL 109.848582 67.758445 \nL 110.051694 67.758445 \nL 110.254807 67.758445 \nL 110.457919 67.758445 \nL 110.661031 67.758445 \nL 110.864143 67.758445 \nL 111.067255 67.758445 \nL 111.270368 67.758445 \nL 111.47348 67.758445 \nL 111.676592 67.758445 \nL 111.879704 67.758445 \nL 112.082816 67.758445 \nL 112.285929 67.758445 \nL 112.489041 67.758445 \nL 112.692153 67.526389 \nL 112.895265 67.526389 \nL 113.098377 67.526389 \nL 113.30149 67.526389 \nL 113.504602 67.526389 \nL 113.707714 67.490799 \nL 113.910826 67.490799 \nL 114.113938 67.490799 \nL 114.317051 67.490799 \nL 114.520163 67.490799 \nL 114.723275 67.490799 \nL 114.926387 66.976298 \nL 115.129499 66.976298 \nL 115.332612 66.441565 \nL 115.535724 66.441565 \nL 115.738836 66.441565 \nL 115.941948 66.441565 \nL 116.14506 66.441565 \nL 116.348173 66.441565 \nL 116.551285 66.441565 \nL 116.754397 66.441565 \nL 116.957509 66.441565 \nL 117.160621 66.441565 \nL 117.363734 66.441565 \nL 117.566846 66.441565 \nL 117.769958 66.441565 \nL 117.97307 66.441565 \nL 118.176182 66.441565 \nL 118.379295 66.441565 \nL 118.582407 66.441565 \nL 118.785519 66.441565 \nL 118.988631 66.441565 \nL 119.191743 66.441565 \nL 119.394856 66.441565 \nL 119.597968 66.441565 \nL 119.80108 66.441565 \nL 120.004192 66.441565 \nL 120.207304 66.441565 \nL 120.410417 66.441565 \nL 120.613529 66.441565 \nL 120.816641 66.441565 \nL 121.019753 66.441565 \nL 121.222865 66.441565 \nL 121.425978 66.441565 \nL 121.62909 63.06408 \nL 121.832202 63.06408 \nL 122.035314 63.06408 \nL 122.238426 61.764229 \nL 122.441539 61.581155 \nL 122.644651 61.581155 \nL 122.847763 61.581155 \nL 123.050875 61.581155 \nL 123.253988 61.581155 \nL 123.4571 61.581155 \nL 123.660212 61.581155 \nL 123.863324 61.581155 \nL 124.066436 61.581155 \nL 124.269549 61.581155 \nL 124.472661 61.581155 \nL 124.675773 61.581155 \nL 124.878885 61.581155 \nL 125.081997 61.024586 \nL 125.28511 61.024586 \nL 125.488222 61.024586 \nL 125.691334 60.838947 \nL 125.894446 60.838947 \nL 126.097558 60.054871 \nL 126.300671 60.054871 \nL 126.503783 60.054871 \nL 126.706895 60.054871 \nL 126.910007 60.054871 \nL 127.113119 60.054871 \nL 127.316232 60.054871 \nL 127.519344 60.054871 \nL 127.722456 60.054871 \nL 127.925568 60.039048 \nL 128.12868 60.039048 \nL 128.331793 58.549892 \nL 128.534905 58.549892 \nL 128.738017 58.549892 \nL 128.941129 58.549892 \nL 129.144241 58.549892 \nL 129.347354 58.549892 \nL 129.550466 58.549892 \nL 129.753578 58.549892 \nL 129.95669 58.549892 \nL 130.159802 58.549892 \nL 130.362915 58.549892 \nL 130.566027 58.549892 \nL 130.769139 58.549892 \nL 130.972251 58.329426 \nL 131.175363 58.329426 \nL 131.378476 58.329426 \nL 131.581588 58.329426 \nL 131.7847 58.329426 \nL 131.987812 58.329426 \nL 132.190924 58.329426 \nL 132.394037 58.329426 \nL 132.597149 58.329426 \nL 132.800261 58.329426 \nL 133.003373 58.329426 \nL 133.206485 58.329426 \nL 133.409598 58.329426 \nL 133.61271 58.329426 \nL 133.815822 58.329426 \nL 134.018934 58.329426 \nL 134.222046 58.329426 \nL 134.425159 58.329426 \nL 134.628271 58.329426 \nL 134.831383 58.329426 \nL 135.034495 58.329426 \nL 135.237607 58.329426 \nL 135.44072 58.14486 \nL 135.643832 58.14486 \nL 135.846944 58.14486 \nL 136.050056 58.14486 \nL 136.253169 58.14486 \nL 136.456281 58.083378 \nL 136.659393 58.083378 \nL 136.862505 58.083378 \nL 137.065617 58.083378 \nL 137.26873 58.083378 \nL 137.471842 58.083378 \nL 137.674954 58.083378 \nL 137.878066 58.083378 \nL 138.081178 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119.597968 40.899909 \nL 119.394856 40.899909 \nL 119.191743 40.899909 \nL 118.988631 40.899909 \nL 118.785519 40.899909 \nL 118.582407 40.899909 \nL 118.379295 40.899909 \nL 118.176182 40.899909 \nL 117.97307 40.899909 \nL 117.769958 40.899909 \nL 117.566846 40.899909 \nL 117.363734 40.899909 \nL 117.160621 40.899909 \nL 116.957509 40.899909 \nL 116.754397 40.899909 \nL 116.551285 40.899909 \nL 116.348173 40.899909 \nL 116.14506 40.899909 \nL 115.941948 40.899909 \nL 115.738836 40.899909 \nL 115.535724 40.899909 \nL 115.332612 40.899909 \nL 115.129499 41.081808 \nL 114.926387 41.081808 \nL 114.723275 41.175732 \nL 114.520163 41.175732 \nL 114.317051 41.175732 \nL 114.113938 41.175732 \nL 113.910826 41.175732 \nL 113.707714 41.175732 \nL 113.504602 41.19255 \nL 113.30149 41.19255 \nL 113.098377 41.19255 \nL 112.895265 41.19255 \nL 112.692153 41.19255 \nL 112.489041 41.297177 \nL 112.285929 41.297177 \nL 112.082816 41.297177 \nL 111.879704 41.297177 \nL 111.676592 41.297177 \nL 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106.610746 \nL 103.958328 106.610746 \nL 104.16144 106.610746 \nL 104.364553 106.610746 \nL 104.567665 106.610746 \nL 104.770777 106.610746 \nL 104.973889 106.610746 \nL 105.177001 106.610746 \nL 105.380114 106.610746 \nL 105.583226 106.610746 \nL 105.786338 106.610746 \nL 105.98945 106.610746 \nL 106.192562 106.610746 \nL 106.395675 106.610746 \nL 106.598787 106.478214 \nL 106.801899 106.478214 \nL 107.005011 106.286496 \nL 107.208123 106.286496 \nL 107.411236 106.286496 \nL 107.614348 106.286496 \nL 107.81746 106.286496 \nL 108.020572 106.286496 \nL 108.223684 106.286496 \nL 108.426797 106.286496 \nL 108.629909 106.194261 \nL 108.833021 106.194261 \nL 109.036133 106.194261 \nL 109.239245 106.194261 \nL 109.442358 106.194261 \nL 109.64547 106.194261 \nL 109.848582 106.194261 \nL 110.051694 106.194261 \nL 110.254807 106.194261 \nL 110.457919 106.194261 \nL 110.661031 106.194261 \nL 110.864143 106.194261 \nL 111.067255 103.210883 \nL 111.270368 103.210883 \nL 111.47348 103.210883 \nL 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     },
     "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 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": 101,
   "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": 105,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 400x400 with 1 Axes>",
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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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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 52.279586 \nL 154.419089 52.16694 \nL 154.205275 52.16694 \nL 153.991462 52.16694 \nL 153.777648 52.381802 \nL 153.563835 52.381802 \nL 153.350021 53.14653 \nL 153.136207 53.14653 \nL 152.922394 52.965758 \nL 152.70858 52.065458 \nL 152.494767 52.174746 \nL 152.280953 52.174746 \nL 152.067139 52.174746 \nL 151.853326 52.852871 \nL 151.639512 53.04714 \nL 151.425699 53.04714 \nL 151.211885 53.04714 \nL 150.998072 51.455778 \nL 150.784258 51.236699 \nL 150.570444 51.234791 \nL 150.356631 51.234791 \nL 150.142817 51.234791 \nL 149.929004 52.960291 \nL 149.71519 52.780196 \nL 149.501376 52.780196 \nL 149.287563 52.780196 \nL 149.073749 56.092537 \nL 148.859936 56.289902 \nL 148.646122 55.923862 \nL 148.432309 55.923862 \nL 148.218495 55.923862 \nL 148.004681 56.074274 \nL 147.790868 55.828682 \nL 147.577054 55.828682 \nL 147.363241 55.828682 \nL 147.149427 54.925028 \nL 146.935613 53.640241 \nL 146.7218 51.532467 \nL 146.507986 51.532467 \nL 146.294173 51.412655 \nL 146.080359 51.412655 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137.314002 53.613779 \nL 137.100189 54.797278 \nL 136.886375 54.797278 \nL 136.672561 55.651893 \nL 136.458748 55.651893 \nL 136.244934 55.651893 \nL 136.031121 55.651893 \nL 135.817307 55.651893 \nL 135.603494 55.53565 \nL 135.38968 50.211387 \nL 135.175866 50.008054 \nL 134.962053 50.083806 \nL 134.748239 49.442472 \nL 134.534426 49.442472 \nL 134.320612 49.442472 \nL 134.106798 49.442472 \nL 133.892985 49.442472 \nL 133.679171 49.17145 \nL 133.465358 50.353206 \nL 133.251544 51.394892 \nL 133.037731 51.394892 \nL 132.823917 52.316559 \nL 132.610103 52.316559 \nL 132.39629 52.316559 \nL 132.182476 52.316559 \nL 131.968663 52.316559 \nL 131.754849 52.605723 \nL 131.541035 56.851632 \nL 131.327222 55.733339 \nL 131.113408 55.733339 \nL 130.899595 56.543658 \nL 130.685781 56.543658 \nL 130.471968 56.543658 \nL 130.258154 56.543658 \nL 130.04434 56.543658 \nL 129.830527 54.541232 \nL 129.616713 54.501801 \nL 129.4029 53.967791 \nL 129.189086 53.967791 \nL 128.975272 49.717414 \nL 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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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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235.882064 54.441394 \nL 235.668251 55.024281 \nL 235.454437 55.024281 \nL 235.240624 54.729832 \nL 235.02681 54.787056 \nL 234.812996 54.787056 \nL 234.599183 54.787056 \nL 234.385369 54.263221 \nL 234.171556 54.263221 \nL 233.957742 53.65937 \nL 233.743928 53.65937 \nL 233.530115 53.527564 \nL 233.316301 53.527564 \nL 233.102488 51.995004 \nL 232.888674 51.995004 \nL 232.67486 51.995004 \nL 232.461047 54.573977 \nL 232.247233 52.935733 \nL 232.03342 52.935733 \nL 231.819606 52.681223 \nL 231.605793 52.681223 \nL 231.391979 52.681223 \nL 231.178165 57.097744 \nL 230.964352 57.097744 \nL 230.750538 57.097744 \nL 230.536725 58.837248 \nL 230.322911 58.837248 \nL 230.109097 58.055217 \nL 229.895284 58.055217 \nL 229.68147 58.055217 \nL 229.467657 58.055217 \nL 229.253843 59.320901 \nL 229.04003 59.320901 \nL 228.826216 59.12598 \nL 228.612402 55.003799 \nL 228.398589 56.063283 \nL 228.184775 56.063283 \nL 227.970962 56.063283 \nL 227.757148 56.063283 \nL 227.543334 56.063283 \nL 227.329521 50.415469 \nL 227.115707 50.575147 \nL 226.901894 52.506368 \nL 226.68808 49.68621 \nL 226.474267 49.28788 \nL 226.260453 49.28788 \nL 226.046639 49.28788 \nL 225.832826 49.28788 \nL 225.619012 49.28788 \nL 225.405199 53.114175 \nL 225.191385 53.114175 \nL 224.977571 57.024664 \nL 224.763758 57.894148 \nL 224.549944 57.894148 \nL 224.336131 57.894148 \nL 224.122317 57.894148 \nL 223.908504 57.894148 \nL 223.69469 57.976343 \nL 223.480876 53.743005 \nL 223.267063 53.743005 \nL 223.053249 53.273334 \nL 222.839436 52.863174 \nL 222.625622 52.863174 \nL 222.411808 52.863174 \nL 222.197995 52.863174 \nL 221.984181 52.712836 \nL 221.770368 52.712836 \nL 221.556554 53.567065 \nL 221.342741 53.181422 \nL 221.128927 49.425518 \nL 220.915113 49.425518 \nL 220.7013 49.425518 \nL 220.487486 49.425518 \nL 220.273673 49.423384 \nL 220.059859 49.423384 \nL 219.846045 49.423384 \nL 219.632232 50.839683 \nL 219.418418 50.439828 \nL 219.204605 50.90426 \nL 218.990791 50.90426 \nL 218.776978 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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()"
   ]
  }
 ]
}