{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "682fef9a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "fig_dpi = 200\n",
    "lw = 3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75cc3c1d",
   "metadata": {},
   "source": [
    "# Dense Layers\n",
    "\n",
    "Exponential LR Decay: 0.98\n",
    "\n",
    "100 Epochs\n",
    "\n",
    "## Index\n",
    "0. fc layers\n",
    "1. nodes per layer\n",
    "2. top-1 accuracy\n",
    "3. top-5 accuracy\n",
    "4. last val loss\n",
    "5. last val accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "85cb4e35",
   "metadata": {},
   "outputs": [],
   "source": [
    "fc_results = np.array([\n",
    "    [1, 256, 52.44, 79.86, 2.49, 57.66],\n",
    "    [1, 512, 49.29, 73.93, 2.95, 53.25],\n",
    "    [1, 1024, 40.7, 68.38, 3.66, 45.22],\n",
    "    [1, 2048, 32.12, 58.93, 4.66, 35.72],\n",
    "    [1, 4096, 24.03, 46.76, 5.61, 27.94],\n",
    "    [1, 8192, 19.70, 41.01, 6.42, 23.96],\n",
    "    \n",
    "    [2, 256, 54.48, 81.22, 1.86, 57.11],\n",
    "    [2, 512, 56.64, 82.46, 1.94, 60.23],\n",
    "    [2, 1024, 56.39, 81.53, 2.08, 60.91],\n",
    "    [2, 2048, 51.39, 79.00, 2.38, 56.74],\n",
    "    [2, 4096, 44.41, 71.83, 3.04, 47.61], # DEFAULT ALEXNET\n",
    "    [2, 8192, 37.74, 64.36, 3.60, 42.40],\n",
    "    \n",
    "    [3, 256, 0.80, 2.10, 5.29, 0.55],\n",
    "    [3, 512, 30.7, 65.16, 2.57, 30.82],\n",
    "    [3, 1024, 48.36, 76.65, 2.30, 49.88],\n",
    "    [3, 2048, 54.11, 80.48, 2.38, 58.21],\n",
    "    [3, 4096, 54.48, 82.09, 2.39, 57.17],\n",
    "    [3, 8192, 50.71, 78.57, 2.55, 55.88],\n",
    "    \n",
    "    [4, 256, 0.80, 2.29, 5.29, 0.55],\n",
    "    [4, 512, 0.80, 2.10, 5.29, 0.55],\n",
    "    [4, 1024, 0.80, 2.10, 5.29, 0.55],\n",
    "    [4, 2048, 25.45, 60.9, 2.84, 28.55],\n",
    "    [4, 4096, 41.14, 73.81, 2.81, 46.32],\n",
    "    [4, 8192, 49.85, 77.58, 2.97, 53.92]\n",
    "])\n",
    "\n",
    "fc_0_results = [0, 196, 28.91, 54.05, 6.52, 33.21]\n",
    "\n",
    "layers = [1, 2, 3, 4]\n",
    "nodes = [256, 512, 1024, 2048, 4096, 8192]\n",
    "\n",
    "fc_matrix = np.zeros((len(layers), len(nodes)))\n",
    "for i in fc_results:\n",
    "    fc_matrix[layers.index(i[0]), nodes.index(i[1])] = i[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "0fd9f416",
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1200x800 with 2 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<svg height=\"275.704424pt\" version=\"1.1\" viewBox=\"0 0 322.010503 275.704424\" width=\"322.010503pt\" 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>2021-04-27T23:35:59.316478</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 275.704424 \nL 322.010503 275.704424 \nL 322.010503 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"patch_2\">\n   <path d=\"M 70.5522 239.758125 \nL 287.9922 239.758125 \nL 287.9922 22.318125 \nL 70.5522 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n  </g>\n  <g id=\"pane3d_1\">\n   <g id=\"patch_3\">\n    <path d=\"M 92.669404 195.075752 \nL 143.748167 112.054079 \nL 141.604511 33.091819 \nL 87.225925 113.992856 \n\" style=\"fill:#f2f2f2;opacity:0.5;stroke:#f2f2f2;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_2\">\n   <g id=\"patch_4\">\n    <path d=\"M 143.748167 112.054079 \nL 267.12988 140.711755 \nL 272.010591 60.930132 \nL 141.604511 33.091819 \n\" style=\"fill:#e6e6e6;opacity:0.5;stroke:#e6e6e6;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"pane3d_3\">\n   <g id=\"patch_5\">\n    <path d=\"M 92.669404 195.075752 \nL 225.306574 228.933476 \nL 267.12988 140.711755 \nL 143.748167 112.054079 \n\" style=\"fill:#ececec;opacity:0.5;stroke:#ececec;stroke-linejoin:miter;\"/>\n   </g>\n  </g>\n  <g id=\"axis3d_1\">\n   <g id=\"line2d_1\">\n    <path d=\"M 92.669404 195.075752 \nL 225.306574 228.933476 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_1\">\n    <!-- Fully Connected Layers -->\n    <g transform=\"translate(89.967902 237.72124)rotate(-345.680153)scale(0.1 -0.1)\">\n     <defs>\n      <path d=\"M 628 4666 \nL 3309 4666 \nL 3309 4134 \nL 1259 4134 \nL 1259 2759 \nL 3109 2759 \nL 3109 2228 \nL 1259 2228 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-46\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" id=\"DejaVuSans-75\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" id=\"DejaVuSans-6c\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2059 -325 \nQ 1816 -950 1584 -1140 \nQ 1353 -1331 966 -1331 \nL 506 -1331 \nL 506 -850 \nL 844 -850 \nQ 1081 -850 1212 -737 \nQ 1344 -625 1503 -206 \nL 1606 56 \nL 191 3500 \nL 800 3500 \nL 1894 763 \nL 2988 3500 \nL 3597 3500 \nL 2059 -325 \nz\n\" id=\"DejaVuSans-79\" transform=\"scale(0.015625)\"/>\n      <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 4122 4306 \nL 4122 3641 \nQ 3803 3938 3442 4084 \nQ 3081 4231 2675 4231 \nQ 1875 4231 1450 3742 \nQ 1025 3253 1025 2328 \nQ 1025 1406 1450 917 \nQ 1875 428 2675 428 \nQ 3081 428 3442 575 \nQ 3803 722 4122 1019 \nL 4122 359 \nQ 3791 134 3420 21 \nQ 3050 -91 2638 -91 \nQ 1578 -91 968 557 \nQ 359 1206 359 2328 \nQ 359 3453 968 4101 \nQ 1578 4750 2638 4750 \nQ 3056 4750 3426 4639 \nQ 3797 4528 4122 4306 \nz\n\" id=\"DejaVuSans-43\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" id=\"DejaVuSans-6f\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" id=\"DejaVuSans-6e\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" id=\"DejaVuSans-65\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" id=\"DejaVuSans-63\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" id=\"DejaVuSans-74\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" id=\"DejaVuSans-64\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 531 \nL 3531 531 \nL 3531 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4c\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" id=\"DejaVuSans-61\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" id=\"DejaVuSans-72\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" id=\"DejaVuSans-73\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-46\"/>\n     <use x=\"52.019531\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"115.398438\" xlink:href=\"#DejaVuSans-6c\"/>\n     <use x=\"143.181641\" xlink:href=\"#DejaVuSans-6c\"/>\n     <use x=\"170.964844\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"230.144531\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"261.931641\" xlink:href=\"#DejaVuSans-43\"/>\n     <use x=\"331.755859\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"392.9375\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"456.316406\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"519.695312\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"581.21875\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"636.199219\" xlink:href=\"#DejaVuSans-74\"/>\n     <use x=\"675.408203\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"736.931641\" xlink:href=\"#DejaVuSans-64\"/>\n     <use x=\"800.408203\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"832.195312\" xlink:href=\"#DejaVuSans-4c\"/>\n     <use x=\"887.908203\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"949.1875\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"1008.367188\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"1069.890625\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"1111.003906\" xlink:href=\"#DejaVuSans-73\"/>\n    </g>\n   </g>\n   <g id=\"Line3DCollection_1\">\n    <path d=\"M 100.863304 197.167374 \nL 151.388413 113.828666 \nL 149.667259 34.813007 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 138.739382 206.835838 \nL 186.674184 122.024437 \nL 186.925659 42.766708 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 177.315902 216.683102 \nL 222.560087 130.359599 \nL 224.853761 50.863373 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 216.612474 226.71417 \nL 259.061561 138.83774 \nL 263.469786 59.106892 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_1\">\n    <g id=\"line2d_2\">\n     <path d=\"M 101.301861 196.443995 \nL 99.984382 198.617112 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_2\">\n     <!-- 1 -->\n     <g transform=\"translate(92.5712 221.767905)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-31\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_2\">\n    <g id=\"line2d_3\">\n     <path d=\"M 139.155754 206.099149 \nL 137.904907 208.312282 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_3\">\n     <!-- 2 -->\n     <g transform=\"translate(130.510556 231.620733)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-32\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_3\">\n    <g id=\"line2d_4\">\n     <path d=\"M 177.709189 215.932731 \nL 176.527676 218.186995 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_4\">\n     <!-- 3 -->\n     <g transform=\"translate(169.153585 241.656304)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-33\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_4\">\n    <g id=\"line2d_5\">\n     <path d=\"M 216.981739 225.949732 \nL 215.872379 228.246285 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_5\">\n     <!-- 4 -->\n     <g transform=\"translate(208.520047 251.879751)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-34\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_2\">\n   <g id=\"line2d_6\">\n    <path d=\"M 267.12988 140.711755 \nL 225.306574 228.933476 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_6\">\n    <!-- Nodes Per Layer -->\n    <g transform=\"translate(260.262846 244.723016)rotate(-64.635755)scale(0.1 -0.1)\">\n     <defs>\n      <path d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4e\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1259 4147 \nL 1259 2394 \nL 2053 2394 \nQ 2494 2394 2734 2622 \nQ 2975 2850 2975 3272 \nQ 2975 3691 2734 3919 \nQ 2494 4147 2053 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 2053 4666 \nQ 2838 4666 3239 4311 \nQ 3641 3956 3641 3272 \nQ 3641 2581 3239 2228 \nQ 2838 1875 2053 1875 \nL 1259 1875 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-50\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-4e\"/>\n     <use x=\"74.804688\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"135.986328\" xlink:href=\"#DejaVuSans-64\"/>\n     <use x=\"199.462891\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"260.986328\" xlink:href=\"#DejaVuSans-73\"/>\n     <use x=\"313.085938\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"344.873047\" xlink:href=\"#DejaVuSans-50\"/>\n     <use x=\"401.550781\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"463.074219\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"504.1875\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"535.974609\" xlink:href=\"#DejaVuSans-4c\"/>\n     <use x=\"591.6875\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"652.966797\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"712.146484\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"773.669922\" xlink:href=\"#DejaVuSans-72\"/>\n    </g>\n   </g>\n   <g id=\"Line3DCollection_2\">\n    <path d=\"M 89.323886 110.871643 \nL 94.631018 191.887412 \nL 226.916658 225.537181 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 102.033096 91.96368 \nL 106.529706 172.547691 \nL 236.676334 204.950203 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 114.255817 73.779484 \nL 117.998013 153.907498 \nL 246.072107 185.13084 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 126.019458 56.27828 \nL 129.058874 135.929553 \nL 255.123957 166.036946 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 137.349406 39.422296 \nL 139.733624 118.579179 \nL 263.850428 147.629402 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_5\">\n    <g id=\"line2d_7\">\n     <path d=\"M 225.824738 225.259427 \nL 229.102178 226.093116 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_7\">\n     <!-- 0 -->\n     <g transform=\"translate(237.294115 244.435023)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_6\">\n    <g id=\"line2d_8\">\n     <path d=\"M 235.602699 204.682901 \nL 238.825225 205.485211 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_8\">\n     <!-- 2000 -->\n     <g transform=\"translate(237.227048 223.68902)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_7\">\n    <g id=\"line2d_9\">\n     <path d=\"M 245.016164 184.873411 \nL 248.185557 185.646081 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_9\">\n     <!-- 4000 -->\n     <g transform=\"translate(246.351307 203.714531)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_8\">\n    <g id=\"line2d_10\">\n     <path d=\"M 254.085143 165.788852 \nL 257.203096 166.533494 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_10\">\n     <!-- 6000 -->\n     <g transform=\"translate(255.142442 184.469304)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-36\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_9\">\n    <g id=\"line2d_11\">\n     <path d=\"M 262.828204 147.390145 \nL 265.896336 148.108258 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_11\">\n     <!-- 8000 -->\n     <g transform=\"translate(263.61837 165.914118)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-38\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n      <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axis3d_3\">\n   <g id=\"line2d_12\">\n    <path d=\"M 267.12988 140.711755 \nL 272.010591 60.930132 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_12\">\n    <!-- Top-1 % Test Accuracy -->\n    <g transform=\"translate(305.942914 146.499062)rotate(-86.499243)scale(0.1 -0.1)\">\n     <defs>\n      <path d=\"M -19 4666 \nL 3928 4666 \nL 3928 4134 \nL 2272 4134 \nL 2272 0 \nL 1638 0 \nL 1638 4134 \nL -19 4134 \nL -19 4666 \nz\n\" id=\"DejaVuSans-54\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" id=\"DejaVuSans-70\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 313 2009 \nL 1997 2009 \nL 1997 1497 \nL 313 1497 \nL 313 2009 \nz\n\" id=\"DejaVuSans-2d\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 4653 2053 \nQ 4381 2053 4226 1822 \nQ 4072 1591 4072 1178 \nQ 4072 772 4226 539 \nQ 4381 306 4653 306 \nQ 4919 306 5073 539 \nQ 5228 772 5228 1178 \nQ 5228 1588 5073 1820 \nQ 4919 2053 4653 2053 \nz\nM 4653 2450 \nQ 5147 2450 5437 2106 \nQ 5728 1763 5728 1178 \nQ 5728 594 5436 251 \nQ 5144 -91 4653 -91 \nQ 4153 -91 3862 251 \nQ 3572 594 3572 1178 \nQ 3572 1766 3864 2108 \nQ 4156 2450 4653 2450 \nz\nM 1428 4353 \nQ 1159 4353 1004 4120 \nQ 850 3888 850 3481 \nQ 850 3069 1003 2837 \nQ 1156 2606 1428 2606 \nQ 1700 2606 1854 2837 \nQ 2009 3069 2009 3481 \nQ 2009 3884 1853 4118 \nQ 1697 4353 1428 4353 \nz\nM 4250 4750 \nL 4750 4750 \nL 1831 -91 \nL 1331 -91 \nL 4250 4750 \nz\nM 1428 4750 \nQ 1922 4750 2215 4408 \nQ 2509 4066 2509 3481 \nQ 2509 2891 2217 2550 \nQ 1925 2209 1428 2209 \nQ 931 2209 642 2551 \nQ 353 2894 353 3481 \nQ 353 4063 643 4406 \nQ 934 4750 1428 4750 \nz\n\" id=\"DejaVuSans-25\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" id=\"DejaVuSans-41\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-54\"/>\n     <use x=\"44.083984\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"105.265625\" xlink:href=\"#DejaVuSans-70\"/>\n     <use x=\"168.742188\" xlink:href=\"#DejaVuSans-2d\"/>\n     <use x=\"204.826172\" xlink:href=\"#DejaVuSans-31\"/>\n     <use x=\"268.449219\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"300.236328\" xlink:href=\"#DejaVuSans-25\"/>\n     <use x=\"395.255859\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"427.042969\" xlink:href=\"#DejaVuSans-54\"/>\n     <use x=\"471.126953\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"532.650391\" xlink:href=\"#DejaVuSans-73\"/>\n     <use x=\"584.75\" xlink:href=\"#DejaVuSans-74\"/>\n     <use x=\"623.958984\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"655.746094\" xlink:href=\"#DejaVuSans-41\"/>\n     <use x=\"722.404297\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"777.384766\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"832.365234\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"895.744141\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"936.857422\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"998.136719\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"1053.117188\" xlink:href=\"#DejaVuSans-79\"/>\n    </g>\n   </g>\n   <g id=\"Line3DCollection_3\">\n    <path d=\"M 267.960236 127.138496 \nL 143.382968 98.601839 \nL 91.74571 181.316936 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 268.777022 113.787064 \nL 143.023936 85.376809 \nL 90.836151 167.768678 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 269.609517 100.178835 \nL 142.658203 71.904918 \nL 89.908116 153.945216 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 270.45818 86.306328 \nL 142.285579 58.179189 \nL 88.961038 139.838081 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n    <path d=\"M 271.323486 72.161769 \nL 141.905867 44.192378 \nL 87.994322 125.438449 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"xtick_10\">\n    <g id=\"line2d_13\">\n     <path d=\"M 266.934136 126.903449 \nL 270.013904 127.608925 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_13\">\n     <!-- 10 -->\n     <g transform=\"translate(278.469528 129.549578)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_11\">\n    <g id=\"line2d_14\">\n     <path d=\"M 267.740954 113.552994 \nL 270.850655 114.255541 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_14\">\n     <!-- 20 -->\n     <g transform=\"translate(279.441827 116.219957)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_12\">\n    <g id=\"line2d_15\">\n     <path d=\"M 268.563286 99.945824 \nL 271.703507 100.645197 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_15\">\n     <!-- 30 -->\n     <g transform=\"translate(280.432726 102.635335)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_13\">\n    <g id=\"line2d_16\">\n     <path d=\"M 269.401584 86.074461 \nL 272.57293 86.770404 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_16\">\n     <!-- 40 -->\n     <g transform=\"translate(281.442764 88.788322)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"xtick_14\">\n    <g id=\"line2d_17\">\n     <path d=\"M 270.256317 71.931135 \nL 273.459412 72.62338 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-width:0.8;\"/>\n    </g>\n    <g id=\"text_17\">\n     <!-- 50 -->\n     <g transform=\"translate(282.472502 74.671243)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-35\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"Poly3DCollection_1\">\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 125.134041 122.444439 \nL 162.168415 102.823251 \nL 183.912165 76.00008 \nL 147.780873 92.401362 \nz\n\" style=\"fill:#1f948c;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 162.168415 102.823251 \nL 201.255379 97.198877 \nL 221.776792 65.995647 \nL 183.912165 76.00008 \nz\n\" style=\"fill:#a0da39;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 112.670865 130.223772 \nL 150.414733 111.897174 \nL 162.168415 102.823251 \nL 125.134041 122.444439 \nz\n\" style=\"fill:#34b679;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 201.255379 97.198877 \nL 240.489645 125.476318 \nL 260.239328 75.594036 \nL 221.776792 65.995647 \nz\n\" style=\"fill:#c2df23;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 180.427134 209.208054 \nL 219.579357 219.12544 \nL 220.863505 216.470615 \nL 181.782301 165.906176 \nz\n\" style=\"fill:#440154;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 105.827866 127.854297 \nL 144.234879 114.400423 \nL 150.414733 111.897174 \nL 112.670865 130.223772 \nz\n\" style=\"fill:#89d548;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 150.414733 111.897174 \nL 190.288387 117.159887 \nL 201.255379 97.198877 \nL 162.168415 102.823251 \nz\n\" style=\"fill:#dfe318;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 181.782301 165.906176 \nL 220.863505 216.470615 \nL 223.412904 211.200027 \nL 184.62518 135.576505 \nz\n\" style=\"fill:#39558c;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 190.288387 117.159887 \nL 229.597557 167.483393 \nL 240.489645 125.476318 \nL 201.255379 97.198877 \nz\n\" style=\"fill:#75d054;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 184.62518 135.576505 \nL 223.412904 211.200027 \nL 229.597557 167.483393 \nL 190.288387 117.159887 \nz\n\" style=\"fill:#1f988b;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 139.727068 124.705412 \nL 180.427134 209.208054 \nL 181.782301 165.906176 \nL 141.169976 119.011542 \nz\n\" style=\"fill:#24aa83;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 101.956041 120.428348 \nL 141.169976 119.011542 \nL 144.234879 114.400423 \nL 105.827866 127.854297 \nz\n\" style=\"fill:#dde318;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 144.234879 114.400423 \nL 184.62518 135.576505 \nL 190.288387 117.159887 \nL 150.414733 111.897174 \nz\n\" style=\"fill:#f6e620;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 100.077045 118.311966 \nL 139.727068 124.705412 \nL 141.169976 119.011542 \nL 101.956041 120.428348 \nz\n\" style=\"fill:#fde725;\"/>\n    <path clip-path=\"url(#p8963c410e3)\" d=\"M 141.169976 119.011542 \nL 181.782301 165.906176 \nL 184.62518 135.576505 \nL 144.234879 114.400423 \nz\n\" style=\"fill:#b2dd2d;\"/>\n   </g>\n   <g id=\"text_18\">\n    <!-- Accuracy For Different MLP Configurations -->\n    <g transform=\"translate(52.5447 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path d=\"M 1259 4147 \nL 1259 519 \nL 2022 519 \nQ 2988 519 3436 956 \nQ 3884 1394 3884 2338 \nQ 3884 3275 3436 3711 \nQ 2988 4147 2022 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 1925 4666 \nQ 3281 4666 3915 4102 \nQ 4550 3538 4550 2338 \nQ 4550 1131 3912 565 \nQ 3275 0 1925 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-44\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" id=\"DejaVuSans-69\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2375 4863 \nL 2375 4384 \nL 1825 4384 \nQ 1516 4384 1395 4259 \nQ 1275 4134 1275 3809 \nL 1275 3500 \nL 2222 3500 \nL 2222 3053 \nL 1275 3053 \nL 1275 0 \nL 697 0 \nL 697 3053 \nL 147 3053 \nL 147 3500 \nL 697 3500 \nL 697 3744 \nQ 697 4328 969 4595 \nQ 1241 4863 1831 4863 \nL 2375 4863 \nz\n\" id=\"DejaVuSans-66\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 628 4666 \nL 1569 4666 \nL 2759 1491 \nL 3956 4666 \nL 4897 4666 \nL 4897 0 \nL 4281 0 \nL 4281 4097 \nL 3078 897 \nL 2444 897 \nL 1241 4097 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4d\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2906 1791 \nQ 2906 2416 2648 2759 \nQ 2391 3103 1925 3103 \nQ 1463 3103 1205 2759 \nQ 947 2416 947 1791 \nQ 947 1169 1205 825 \nQ 1463 481 1925 481 \nQ 2391 481 2648 825 \nQ 2906 1169 2906 1791 \nz\nM 3481 434 \nQ 3481 -459 3084 -895 \nQ 2688 -1331 1869 -1331 \nQ 1566 -1331 1297 -1286 \nQ 1028 -1241 775 -1147 \nL 775 -588 \nQ 1028 -725 1275 -790 \nQ 1522 -856 1778 -856 \nQ 2344 -856 2625 -561 \nQ 2906 -266 2906 331 \nL 2906 616 \nQ 2728 306 2450 153 \nQ 2172 0 1784 0 \nQ 1141 0 747 490 \nQ 353 981 353 1791 \nQ 353 2603 747 3093 \nQ 1141 3584 1784 3584 \nQ 2172 3584 2450 3431 \nQ 2728 3278 2906 2969 \nL 2906 3500 \nL 3481 3500 \nL 3481 434 \nz\n\" id=\"DejaVuSans-67\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-41\"/>\n     <use x=\"66.658203\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"121.638672\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"176.619141\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"239.998047\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"281.111328\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"342.390625\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"397.371094\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"456.550781\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"488.337891\" xlink:href=\"#DejaVuSans-46\"/>\n     <use x=\"542.232422\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"603.414062\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"644.527344\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"676.314453\" xlink:href=\"#DejaVuSans-44\"/>\n     <use x=\"753.316406\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"781.099609\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"816.304688\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"851.509766\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"913.033203\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"951.896484\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"1013.419922\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1076.798828\" xlink:href=\"#DejaVuSans-74\"/>\n     <use x=\"1116.007812\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1147.794922\" xlink:href=\"#DejaVuSans-4d\"/>\n     <use x=\"1234.074219\" xlink:href=\"#DejaVuSans-4c\"/>\n     <use x=\"1289.787109\" xlink:href=\"#DejaVuSans-50\"/>\n     <use x=\"1350.089844\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1381.876953\" xlink:href=\"#DejaVuSans-43\"/>\n     <use x=\"1451.701172\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1512.882812\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1576.261719\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"1611.466797\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1639.25\" xlink:href=\"#DejaVuSans-67\"/>\n     <use x=\"1702.726562\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"1766.105469\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"1807.21875\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"1868.498047\" xlink:href=\"#DejaVuSans-74\"/>\n     <use x=\"1907.707031\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1935.490234\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1996.671875\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"2060.050781\" xlink:href=\"#DejaVuSans-73\"/>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_2\">\n   <g id=\"patch_6\">\n    <path d=\"M 26.925 207.142125 \nL 37.0722 207.142125 \nL 37.0722 54.934125 \nL 26.925 54.934125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"patch_7\">\n    <path clip-path=\"url(#pbe327f4b6a)\" d=\"M 26.925 207.142125 \nL 26.925 206.547562 \nL 26.925 55.528688 \nL 26.925 54.934125 \nL 37.0722 54.934125 \nL 37.0722 55.528688 \nL 37.0722 206.547562 \nL 37.0722 207.142125 \nL 37.0722 207.142125 \nz\n\" style=\"fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;stroke-width:0.01;\"/>\n   </g>\n   <image height=\"152.28\" id=\"image7c3efea843\" transform=\"scale(1 -1)translate(0 -152.28)\" width=\"10.08\" x=\"27\" xlink:href=\"data:image/png;base64,\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\" y=\"-54.72\"/>\n   <g id=\"matplotlib.axis_1\"/>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_18\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"mc77a9684a2\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mc77a9684a2\" y=\"201.29937\"/>\n      </g>\n     </g>\n     <g id=\"text_19\">\n      <!-- 10 -->\n      <g transform=\"translate(7.2 205.098589)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_19\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mc77a9684a2\" y=\"167.428327\"/>\n      </g>\n     </g>\n     <g id=\"text_20\">\n      <!-- 20 -->\n      <g transform=\"translate(7.2 171.227546)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mc77a9684a2\" y=\"133.557284\"/>\n      </g>\n     </g>\n     <g id=\"text_21\">\n      <!-- 30 -->\n      <g transform=\"translate(7.2 137.356503)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_21\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mc77a9684a2\" y=\"99.686241\"/>\n      </g>\n     </g>\n     <g id=\"text_22\">\n      <!-- 40 -->\n      <g transform=\"translate(7.2 103.485459)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"26.925\" xlink:href=\"#mc77a9684a2\" y=\"65.815198\"/>\n      </g>\n     </g>\n     <g id=\"text_23\">\n      <!-- 50 -->\n      <g transform=\"translate(7.2 69.614416)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"LineCollection_1\"/>\n   <g id=\"patch_8\">\n    <path d=\"M 26.925 207.142125 \nL 26.925 206.547562 \nL 26.925 55.528688 \nL 26.925 54.934125 \nL 37.0722 54.934125 \nL 37.0722 55.528688 \nL 37.0722 206.547562 \nL 37.0722 207.142125 \nz\n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p8963c410e3\">\n   <rect height=\"217.44\" width=\"217.44\" x=\"70.5522\" y=\"22.318125\"/>\n  </clipPath>\n  <clipPath id=\"pbe327f4b6a\">\n   <rect height=\"152.208\" width=\"10.1472\" x=\"26.925\" y=\"54.934125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "X, Y = np.meshgrid(layers, nodes)\n",
    "\n",
    "fig = plt.figure(figsize=(6, 4))\n",
    "# fig = plt.figure()\n",
    "fig.set_dpi(fig_dpi)\n",
    "\n",
    "ax = plt.axes(projection='3d')\n",
    "\n",
    "surf = ax.plot_surface(X, Y, fc_matrix.T, cmap='viridis')\n",
    "\n",
    "ax.set_title('Accuracy For Different MLP Configurations')\n",
    "ax.set_xlabel('Fully Connected Layers')\n",
    "ax.set_ylabel('Nodes Per Layer')\n",
    "ax.set_zlabel('Top-1 % Test Accuracy')\n",
    "ax.set_xticks([1, 2, 3, 4])\n",
    "\n",
    "ax.view_init(40, -70)\n",
    "fig.colorbar(surf, location=\"left\", shrink=0.7, aspect=15)\n",
    "\n",
    "# plt.tight_layout()\n",
    "plt.savefig('fc-accuracy-surf.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 with 2 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<svg height=\"277.314375pt\" version=\"1.1\" viewBox=\"0 0 359.93325 277.314375\" width=\"359.93325pt\" 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>2021-04-27T23:35:59.654666</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 277.314375 \nL 359.93325 277.314375 \nL 359.93325 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 37.55625 239.758125 \nL 305.39625 239.758125 \nL 305.39625 22.318125 \nL 37.55625 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"QuadMesh_1\">\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 37.55625 22.318125 \nL 104.51625 22.318125 \nL 104.51625 58.558125 \nL 37.55625 58.558125 \nL 37.55625 22.318125 \n\" style=\"fill:#f3e35a;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 104.51625 22.318125 \nL 171.47625 22.318125 \nL 171.47625 58.558125 \nL 104.51625 58.558125 \nL 104.51625 22.318125 \n\" style=\"fill:#f2f482;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 171.47625 22.318125 \nL 238.43625 22.318125 \nL 238.43625 58.558125 \nL 171.47625 58.558125 \nL 171.47625 22.318125 \n\" style=\"fill:#000004;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 238.43625 22.318125 \nL 305.39625 22.318125 \nL 305.39625 58.558125 \nL 238.43625 58.558125 \nL 238.43625 22.318125 \n\" style=\"fill:#000004;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 37.55625 58.558125 \nL 104.51625 58.558125 \nL 104.51625 94.798125 \nL 37.55625 94.798125 \nL 37.55625 58.558125 \n\" style=\"fill:#f9c72f;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 104.51625 58.558125 \nL 171.47625 58.558125 \nL 171.47625 94.798125 \nL 104.51625 94.798125 \nL 104.51625 58.558125 \n\" style=\"fill:#fcffa4;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 171.47625 58.558125 \nL 238.43625 58.558125 \nL 238.43625 94.798125 \nL 171.47625 94.798125 \nL 171.47625 58.558125 \n\" style=\"fill:#c83f4b;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 238.43625 58.558125 \nL 305.39625 58.558125 \nL 305.39625 94.798125 \nL 238.43625 94.798125 \nL 238.43625 58.558125 \n\" style=\"fill:#000004;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 37.55625 94.798125 \nL 104.51625 94.798125 \nL 104.51625 131.038125 \nL 37.55625 131.038125 \nL 37.55625 94.798125 \n\" style=\"fill:#f57d15;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 104.51625 94.798125 \nL 171.47625 94.798125 \nL 171.47625 131.038125 \nL 104.51625 131.038125 \nL 104.51625 94.798125 \n\" style=\"fill:#fafda1;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 171.47625 94.798125 \nL 238.43625 94.798125 \nL 238.43625 131.038125 \nL 171.47625 131.038125 \nL 171.47625 94.798125 \n\" style=\"fill:#fac026;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 238.43625 94.798125 \nL 305.39625 94.798125 \nL 305.39625 131.038125 \nL 238.43625 131.038125 \nL 238.43625 94.798125 \n\" style=\"fill:#000004;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 37.55625 131.038125 \nL 104.51625 131.038125 \nL 104.51625 167.278125 \nL 37.55625 167.278125 \nL 37.55625 131.038125 \n\" style=\"fill:#d04545;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 104.51625 131.038125 \nL 171.47625 131.038125 \nL 171.47625 167.278125 \nL 104.51625 167.278125 \nL 104.51625 131.038125 \n\" style=\"fill:#f5d949;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 171.47625 131.038125 \nL 238.43625 131.038125 \nL 238.43625 167.278125 \nL 171.47625 167.278125 \nL 171.47625 131.038125 \n\" style=\"fill:#f1f179;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 238.43625 131.038125 \nL 305.39625 131.038125 \nL 305.39625 167.278125 \nL 238.43625 167.278125 \nL 238.43625 131.038125 \n\" style=\"fill:#a52c60;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 37.55625 167.278125 \nL 104.51625 167.278125 \nL 104.51625 203.518125 \nL 37.55625 203.518125 \nL 37.55625 167.278125 \n\" style=\"fill:#9a2865;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 104.51625 167.278125 \nL 171.47625 167.278125 \nL 171.47625 203.518125 \nL 104.51625 203.518125 \nL 104.51625 167.278125 \n\" style=\"fill:#fb9b06;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 171.47625 167.278125 \nL 238.43625 167.278125 \nL 238.43625 203.518125 \nL 171.47625 203.518125 \nL 171.47625 167.278125 \n\" style=\"fill:#f2f482;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 238.43625 167.278125 \nL 305.39625 167.278125 \nL 305.39625 203.518125 \nL 238.43625 203.518125 \nL 238.43625 167.278125 \n\" style=\"fill:#f68013;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 37.55625 203.518125 \nL 104.51625 203.518125 \nL 104.51625 239.758125 \nL 37.55625 239.758125 \nL 37.55625 203.518125 \n\" style=\"fill:#7a1d6d;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 104.51625 203.518125 \nL 171.47625 203.518125 \nL 171.47625 239.758125 \nL 104.51625 239.758125 \nL 104.51625 203.518125 \n\" style=\"fill:#ec6726;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 171.47625 203.518125 \nL 238.43625 203.518125 \nL 238.43625 239.758125 \nL 171.47625 239.758125 \nL 171.47625 203.518125 \n\" style=\"fill:#f7d340;\"/>\n    <path clip-path=\"url(#pa9501c0b26)\" d=\"M 238.43625 203.518125 \nL 305.39625 203.518125 \nL 305.39625 239.758125 \nL 238.43625 239.758125 \nL 238.43625 203.518125 \n\" style=\"fill:#f9cb35;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"mf929108792\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"71.03625\" xlink:href=\"#mf929108792\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 1 -->\n      <g transform=\"translate(67.855 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_2\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"137.99625\" xlink:href=\"#mf929108792\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 2 -->\n      <g transform=\"translate(134.815 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_3\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"204.95625\" xlink:href=\"#mf929108792\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 3 -->\n      <g transform=\"translate(201.775 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"271.91625\" xlink:href=\"#mf929108792\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 4 -->\n      <g transform=\"translate(268.735 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_5\">\n     <!-- Fully-Connected Layer -->\n     <g transform=\"translate(115.797344 268.034687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 3309 4666 \nL 3309 4134 \nL 1259 4134 \nL 1259 2759 \nL 3109 2759 \nL 3109 2228 \nL 1259 2228 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-46\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" id=\"DejaVuSans-75\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" id=\"DejaVuSans-6c\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2059 -325 \nQ 1816 -950 1584 -1140 \nQ 1353 -1331 966 -1331 \nL 506 -1331 \nL 506 -850 \nL 844 -850 \nQ 1081 -850 1212 -737 \nQ 1344 -625 1503 -206 \nL 1606 56 \nL 191 3500 \nL 800 3500 \nL 1894 763 \nL 2988 3500 \nL 3597 3500 \nL 2059 -325 \nz\n\" id=\"DejaVuSans-79\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 313 2009 \nL 1997 2009 \nL 1997 1497 \nL 313 1497 \nL 313 2009 \nz\n\" id=\"DejaVuSans-2d\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 4122 4306 \nL 4122 3641 \nQ 3803 3938 3442 4084 \nQ 3081 4231 2675 4231 \nQ 1875 4231 1450 3742 \nQ 1025 3253 1025 2328 \nQ 1025 1406 1450 917 \nQ 1875 428 2675 428 \nQ 3081 428 3442 575 \nQ 3803 722 4122 1019 \nL 4122 359 \nQ 3791 134 3420 21 \nQ 3050 -91 2638 -91 \nQ 1578 -91 968 557 \nQ 359 1206 359 2328 \nQ 359 3453 968 4101 \nQ 1578 4750 2638 4750 \nQ 3056 4750 3426 4639 \nQ 3797 4528 4122 4306 \nz\n\" id=\"DejaVuSans-43\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" id=\"DejaVuSans-6f\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" id=\"DejaVuSans-6e\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" id=\"DejaVuSans-65\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" id=\"DejaVuSans-63\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" id=\"DejaVuSans-74\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" id=\"DejaVuSans-64\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 531 \nL 3531 531 \nL 3531 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4c\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" id=\"DejaVuSans-61\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" id=\"DejaVuSans-72\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-46\"/>\n      <use x=\"52.019531\" xlink:href=\"#DejaVuSans-75\"/>\n      <use x=\"115.398438\" xlink:href=\"#DejaVuSans-6c\"/>\n      <use x=\"143.181641\" xlink:href=\"#DejaVuSans-6c\"/>\n      <use x=\"170.964844\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"228.394531\" xlink:href=\"#DejaVuSans-2d\"/>\n      <use x=\"264.478516\" xlink:href=\"#DejaVuSans-43\"/>\n      <use x=\"334.302734\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"395.484375\" xlink:href=\"#DejaVuSans-6e\"/>\n      <use x=\"458.863281\" xlink:href=\"#DejaVuSans-6e\"/>\n      <use x=\"522.242188\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"583.765625\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"638.746094\" xlink:href=\"#DejaVuSans-74\"/>\n      <use x=\"677.955078\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"739.478516\" xlink:href=\"#DejaVuSans-64\"/>\n      <use x=\"802.955078\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"834.742188\" xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"890.455078\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"951.734375\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"1010.914062\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"1072.4375\" xlink:href=\"#DejaVuSans-72\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_5\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"me95241df3e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.55625\" xlink:href=\"#me95241df3e\" y=\"40.438125\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 256 -->\n      <g transform=\"translate(28.476563 55.726406)rotate(-90)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.55625\" xlink:href=\"#me95241df3e\" y=\"76.678125\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 512 -->\n      <g transform=\"translate(28.476563 91.966406)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_7\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.55625\" xlink:href=\"#me95241df3e\" y=\"112.918125\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 1024 -->\n      <g transform=\"translate(28.476563 134.568906)rotate(-90)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.55625\" xlink:href=\"#me95241df3e\" y=\"149.158125\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 2048 -->\n      <g transform=\"translate(28.476563 170.808906)rotate(-90)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_9\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.55625\" xlink:href=\"#me95241df3e\" y=\"185.398125\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 4096 -->\n      <g transform=\"translate(28.476563 207.048906)rotate(-90)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 703 97 \nL 703 672 \nQ 941 559 1184 500 \nQ 1428 441 1663 441 \nQ 2288 441 2617 861 \nQ 2947 1281 2994 2138 \nQ 2813 1869 2534 1725 \nQ 2256 1581 1919 1581 \nQ 1219 1581 811 2004 \nQ 403 2428 403 3163 \nQ 403 3881 828 4315 \nQ 1253 4750 1959 4750 \nQ 2769 4750 3195 4129 \nQ 3622 3509 3622 2328 \nQ 3622 1225 3098 567 \nQ 2575 -91 1691 -91 \nQ 1453 -91 1209 -44 \nQ 966 3 703 97 \nz\nM 1959 2075 \nQ 2384 2075 2632 2365 \nQ 2881 2656 2881 3163 \nQ 2881 3666 2632 3958 \nQ 2384 4250 1959 4250 \nQ 1534 4250 1286 3958 \nQ 1038 3666 1038 3163 \nQ 1038 2656 1286 2365 \nQ 1534 2075 1959 2075 \nz\n\" id=\"DejaVuSans-39\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-39\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"37.55625\" xlink:href=\"#me95241df3e\" y=\"221.638125\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 8192 -->\n      <g transform=\"translate(28.476563 243.288906)rotate(-90)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-39\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_12\">\n     <!-- Nodes Per Layer -->\n     <g transform=\"translate(14.798438 171.77875)rotate(-90)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4e\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" id=\"DejaVuSans-73\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1259 4147 \nL 1259 2394 \nL 2053 2394 \nQ 2494 2394 2734 2622 \nQ 2975 2850 2975 3272 \nQ 2975 3691 2734 3919 \nQ 2494 4147 2053 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 2053 4666 \nQ 2838 4666 3239 4311 \nQ 3641 3956 3641 3272 \nQ 3641 2581 3239 2228 \nQ 2838 1875 2053 1875 \nL 1259 1875 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-50\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4e\"/>\n      <use x=\"74.804688\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"135.986328\" xlink:href=\"#DejaVuSans-64\"/>\n      <use x=\"199.462891\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"260.986328\" xlink:href=\"#DejaVuSans-73\"/>\n      <use x=\"313.085938\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"344.873047\" xlink:href=\"#DejaVuSans-50\"/>\n      <use x=\"401.550781\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"463.074219\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"504.1875\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"535.974609\" xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"591.6875\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"652.966797\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"712.146484\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"773.669922\" xlink:href=\"#DejaVuSans-72\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"text_13\">\n    <!-- Accuracy For Different MLP Configurations -->\n    <g transform=\"translate(44.74875 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" id=\"DejaVuSans-41\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1259 4147 \nL 1259 519 \nL 2022 519 \nQ 2988 519 3436 956 \nQ 3884 1394 3884 2338 \nQ 3884 3275 3436 3711 \nQ 2988 4147 2022 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 1925 4666 \nQ 3281 4666 3915 4102 \nQ 4550 3538 4550 2338 \nQ 4550 1131 3912 565 \nQ 3275 0 1925 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-44\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" id=\"DejaVuSans-69\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2375 4863 \nL 2375 4384 \nL 1825 4384 \nQ 1516 4384 1395 4259 \nQ 1275 4134 1275 3809 \nL 1275 3500 \nL 2222 3500 \nL 2222 3053 \nL 1275 3053 \nL 1275 0 \nL 697 0 \nL 697 3053 \nL 147 3053 \nL 147 3500 \nL 697 3500 \nL 697 3744 \nQ 697 4328 969 4595 \nQ 1241 4863 1831 4863 \nL 2375 4863 \nz\n\" id=\"DejaVuSans-66\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 628 4666 \nL 1569 4666 \nL 2759 1491 \nL 3956 4666 \nL 4897 4666 \nL 4897 0 \nL 4281 0 \nL 4281 4097 \nL 3078 897 \nL 2444 897 \nL 1241 4097 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4d\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2906 1791 \nQ 2906 2416 2648 2759 \nQ 2391 3103 1925 3103 \nQ 1463 3103 1205 2759 \nQ 947 2416 947 1791 \nQ 947 1169 1205 825 \nQ 1463 481 1925 481 \nQ 2391 481 2648 825 \nQ 2906 1169 2906 1791 \nz\nM 3481 434 \nQ 3481 -459 3084 -895 \nQ 2688 -1331 1869 -1331 \nQ 1566 -1331 1297 -1286 \nQ 1028 -1241 775 -1147 \nL 775 -588 \nQ 1028 -725 1275 -790 \nQ 1522 -856 1778 -856 \nQ 2344 -856 2625 -561 \nQ 2906 -266 2906 331 \nL 2906 616 \nQ 2728 306 2450 153 \nQ 2172 0 1784 0 \nQ 1141 0 747 490 \nQ 353 981 353 1791 \nQ 353 2603 747 3093 \nQ 1141 3584 1784 3584 \nQ 2172 3584 2450 3431 \nQ 2728 3278 2906 2969 \nL 2906 3500 \nL 3481 3500 \nL 3481 434 \nz\n\" id=\"DejaVuSans-67\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-41\"/>\n     <use x=\"66.658203\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"121.638672\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"176.619141\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"239.998047\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"281.111328\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"342.390625\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"397.371094\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"456.550781\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"488.337891\" xlink:href=\"#DejaVuSans-46\"/>\n     <use x=\"542.232422\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"603.414062\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"644.527344\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"676.314453\" xlink:href=\"#DejaVuSans-44\"/>\n     <use x=\"753.316406\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"781.099609\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"816.304688\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"851.509766\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"913.033203\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"951.896484\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"1013.419922\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1076.798828\" xlink:href=\"#DejaVuSans-74\"/>\n     <use x=\"1116.007812\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1147.794922\" xlink:href=\"#DejaVuSans-4d\"/>\n     <use x=\"1234.074219\" xlink:href=\"#DejaVuSans-4c\"/>\n     <use x=\"1289.787109\" xlink:href=\"#DejaVuSans-50\"/>\n     <use x=\"1350.089844\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1381.876953\" xlink:href=\"#DejaVuSans-43\"/>\n     <use x=\"1451.701172\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1512.882812\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1576.261719\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"1611.466797\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1639.25\" xlink:href=\"#DejaVuSans-67\"/>\n     <use x=\"1702.726562\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"1766.105469\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"1807.21875\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"1868.498047\" xlink:href=\"#DejaVuSans-74\"/>\n     <use x=\"1907.707031\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1935.490234\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1996.671875\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"2060.050781\" xlink:href=\"#DejaVuSans-73\"/>\n    </g>\n   </g>\n  </g>\n  <g id=\"axes_2\">\n   <g id=\"patch_3\">\n    <path d=\"M 322.13625 239.758125 \nL 333.00825 239.758125 \nL 333.00825 22.318125 \nL 322.13625 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path clip-path=\"url(#p9847671afd)\" d=\"M 322.13625 239.758125 \nL 322.13625 238.90875 \nL 322.13625 23.1675 \nL 322.13625 22.318125 \nL 333.00825 22.318125 \nL 333.00825 23.1675 \nL 333.00825 238.90875 \nL 333.00825 239.758125 \nL 333.00825 239.758125 \nz\n\" style=\"fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;stroke-width:0.01;\"/>\n   </g>\n   <image height=\"217\" id=\"image4868d09fe2\" transform=\"scale(1 -1)translate(0 -217)\" width=\"11\" x=\"322\" xlink:href=\"data:image/png;base64,\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\" y=\"-22\"/>\n   <g id=\"matplotlib.axis_3\"/>\n   <g id=\"matplotlib.axis_4\">\n    <g id=\"ytick_7\">\n     <g id=\"line2d_11\">\n      <defs>\n       <path d=\"M 0 0 \nL 3.5 0 \n\" id=\"m1ddeff5fcd\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"333.00825\" xlink:href=\"#m1ddeff5fcd\" y=\"203.933483\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 10 -->\n      <g transform=\"translate(340.00825 207.732702)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"333.00825\" xlink:href=\"#m1ddeff5fcd\" y=\"164.993655\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 20 -->\n      <g transform=\"translate(340.00825 168.792874)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_9\">\n     <g id=\"line2d_13\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"333.00825\" xlink:href=\"#m1ddeff5fcd\" y=\"126.053827\"/>\n      </g>\n     </g>\n     <g id=\"text_16\">\n      <!-- 30 -->\n      <g transform=\"translate(340.00825 129.853046)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_10\">\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"333.00825\" xlink:href=\"#m1ddeff5fcd\" y=\"87.113999\"/>\n      </g>\n     </g>\n     <g id=\"text_17\">\n      <!-- 40 -->\n      <g transform=\"translate(340.00825 90.913218)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_11\">\n     <g id=\"line2d_15\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"333.00825\" xlink:href=\"#m1ddeff5fcd\" y=\"48.174171\"/>\n      </g>\n     </g>\n     <g id=\"text_18\">\n      <!-- 50 -->\n      <g transform=\"translate(340.00825 51.97339)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n   </g>\n   <g id=\"LineCollection_1\"/>\n   <g id=\"patch_5\">\n    <path d=\"M 322.13625 239.758125 \nL 322.13625 238.90875 \nL 322.13625 23.1675 \nL 322.13625 22.318125 \nL 333.00825 22.318125 \nL 333.00825 23.1675 \nL 333.00825 238.90875 \nL 333.00825 239.758125 \nz\n\" style=\"fill:none;\"/>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pa9501c0b26\">\n   <rect height=\"217.44\" width=\"267.84\" x=\"37.55625\" y=\"22.318125\"/>\n  </clipPath>\n  <clipPath id=\"p9847671afd\">\n   <rect height=\"217.44\" width=\"10.872\" x=\"322.13625\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "# fig.set_dpi(fig_dpi)\n",
    "\n",
    "sns.heatmap(fc_matrix.T, xticklabels=layers, yticklabels=nodes, cmap='inferno')\n",
    "\n",
    "plt.title(\"Accuracy For Different MLP Configurations\")\n",
    "plt.xlabel(\"Fully-Connected Layer\")\n",
    "plt.ylabel(\"Nodes Per Layer\")\n",
    "\n",
    "# plt.tight_layout()\n",
    "# plt.savefig('fc-accuracy-surf.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "dc9d04b1",
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1000x800 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<svg height=\"279.754375pt\" version=\"1.1\" viewBox=\"0 0 352.343125 279.754375\" width=\"352.343125pt\" 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>2021-04-27T23:36:00.046264</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 279.754375 \nL 352.343125 279.754375 \nL 352.343125 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 40.603125 242.198125 \nL 345.143125 242.198125 \nL 345.143125 22.318125 \nL 40.603125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 45.51506 242.198125 \nL 45.51506 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m03ae96e441\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"45.51506\" xlink:href=\"#m03ae96e441\" y=\"242.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 0 -->\n      <g transform=\"translate(42.33381 256.796563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 80.400966 242.198125 \nL 80.400966 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"80.400966\" xlink:href=\"#m03ae96e441\" y=\"242.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 1000 -->\n      <g transform=\"translate(67.675966 256.796563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 115.286871 242.198125 \nL 115.286871 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"115.286871\" xlink:href=\"#m03ae96e441\" y=\"242.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 2000 -->\n      <g transform=\"translate(102.561871 256.796563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 150.172777 242.198125 \nL 150.172777 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"150.172777\" xlink:href=\"#m03ae96e441\" y=\"242.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 3000 -->\n      <g transform=\"translate(137.447777 256.796563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 185.058682 242.198125 \nL 185.058682 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"185.058682\" xlink:href=\"#m03ae96e441\" y=\"242.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 4000 -->\n      <g transform=\"translate(172.333682 256.796563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 219.944588 242.198125 \nL 219.944588 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"219.944588\" xlink:href=\"#m03ae96e441\" y=\"242.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 5000 -->\n      <g transform=\"translate(207.219588 256.796563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_13\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 254.830493 242.198125 \nL 254.830493 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"254.830493\" xlink:href=\"#m03ae96e441\" y=\"242.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 6000 -->\n      <g transform=\"translate(242.105493 256.796563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_8\">\n     <g id=\"line2d_15\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 289.716398 242.198125 \nL 289.716398 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_16\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"289.716398\" xlink:href=\"#m03ae96e441\" y=\"242.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 7000 -->\n      <g transform=\"translate(276.991398 256.796563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_9\">\n     <g id=\"line2d_17\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 324.602304 242.198125 \nL 324.602304 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"324.602304\" xlink:href=\"#m03ae96e441\" y=\"242.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 8000 -->\n      <g transform=\"translate(311.877304 256.796563)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_10\">\n     <!-- Nodes Per Layer -->\n     <g transform=\"translate(152.1325 270.474688)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4e\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" id=\"DejaVuSans-6f\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" id=\"DejaVuSans-64\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" id=\"DejaVuSans-65\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" id=\"DejaVuSans-73\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1259 4147 \nL 1259 2394 \nL 2053 2394 \nQ 2494 2394 2734 2622 \nQ 2975 2850 2975 3272 \nQ 2975 3691 2734 3919 \nQ 2494 4147 2053 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 2053 4666 \nQ 2838 4666 3239 4311 \nQ 3641 3956 3641 3272 \nQ 3641 2581 3239 2228 \nQ 2838 1875 2053 1875 \nL 1259 1875 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-50\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" id=\"DejaVuSans-72\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 531 \nL 3531 531 \nL 3531 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4c\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" id=\"DejaVuSans-61\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2059 -325 \nQ 1816 -950 1584 -1140 \nQ 1353 -1331 966 -1331 \nL 506 -1331 \nL 506 -850 \nL 844 -850 \nQ 1081 -850 1212 -737 \nQ 1344 -625 1503 -206 \nL 1606 56 \nL 191 3500 \nL 800 3500 \nL 1894 763 \nL 2988 3500 \nL 3597 3500 \nL 2059 -325 \nz\n\" id=\"DejaVuSans-79\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4e\"/>\n      <use x=\"74.804688\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"135.986328\" xlink:href=\"#DejaVuSans-64\"/>\n      <use x=\"199.462891\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"260.986328\" xlink:href=\"#DejaVuSans-73\"/>\n      <use x=\"313.085938\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"344.873047\" xlink:href=\"#DejaVuSans-50\"/>\n      <use x=\"401.550781\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"463.074219\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"504.1875\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"535.974609\" xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"591.6875\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"652.966797\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"712.146484\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"773.669922\" xlink:href=\"#DejaVuSans-72\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_19\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 40.603125 235.067346 \nL 345.143125 235.067346 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m770ea58b1b\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m770ea58b1b\" y=\"235.067346\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 0 -->\n      <g transform=\"translate(27.240625 238.866565)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_21\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 40.603125 199.270264 \nL 345.143125 199.270264 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m770ea58b1b\" y=\"199.270264\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 10 -->\n      <g transform=\"translate(20.878125 203.069482)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_23\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 40.603125 163.473181 \nL 345.143125 163.473181 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m770ea58b1b\" y=\"163.473181\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 20 -->\n      <g transform=\"translate(20.878125 167.2724)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_25\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 40.603125 127.676098 \nL 345.143125 127.676098 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_26\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m770ea58b1b\" y=\"127.676098\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 30 -->\n      <g transform=\"translate(20.878125 131.475317)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_27\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 40.603125 91.879016 \nL 345.143125 91.879016 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_28\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m770ea58b1b\" y=\"91.879016\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 40 -->\n      <g transform=\"translate(20.878125 95.678235)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_29\">\n      <path clip-path=\"url(#p1d60529dc7)\" d=\"M 40.603125 56.081933 \nL 345.143125 56.081933 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_30\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m770ea58b1b\" y=\"56.081933\"/>\n      </g>\n     </g>\n     <g id=\"text_16\">\n      <!-- 50 -->\n      <g transform=\"translate(20.878125 59.881152)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_17\">\n     <!-- Top-1 % Test Accuracy -->\n     <g transform=\"translate(14.798438 187.872187)rotate(-90)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M -19 4666 \nL 3928 4666 \nL 3928 4134 \nL 2272 4134 \nL 2272 0 \nL 1638 0 \nL 1638 4134 \nL -19 4134 \nL -19 4666 \nz\n\" id=\"DejaVuSans-54\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" id=\"DejaVuSans-70\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 313 2009 \nL 1997 2009 \nL 1997 1497 \nL 313 1497 \nL 313 2009 \nz\n\" id=\"DejaVuSans-2d\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 4653 2053 \nQ 4381 2053 4226 1822 \nQ 4072 1591 4072 1178 \nQ 4072 772 4226 539 \nQ 4381 306 4653 306 \nQ 4919 306 5073 539 \nQ 5228 772 5228 1178 \nQ 5228 1588 5073 1820 \nQ 4919 2053 4653 2053 \nz\nM 4653 2450 \nQ 5147 2450 5437 2106 \nQ 5728 1763 5728 1178 \nQ 5728 594 5436 251 \nQ 5144 -91 4653 -91 \nQ 4153 -91 3862 251 \nQ 3572 594 3572 1178 \nQ 3572 1766 3864 2108 \nQ 4156 2450 4653 2450 \nz\nM 1428 4353 \nQ 1159 4353 1004 4120 \nQ 850 3888 850 3481 \nQ 850 3069 1003 2837 \nQ 1156 2606 1428 2606 \nQ 1700 2606 1854 2837 \nQ 2009 3069 2009 3481 \nQ 2009 3884 1853 4118 \nQ 1697 4353 1428 4353 \nz\nM 4250 4750 \nL 4750 4750 \nL 1831 -91 \nL 1331 -91 \nL 4250 4750 \nz\nM 1428 4750 \nQ 1922 4750 2215 4408 \nQ 2509 4066 2509 3481 \nQ 2509 2891 2217 2550 \nQ 1925 2209 1428 2209 \nQ 931 2209 642 2551 \nQ 353 2894 353 3481 \nQ 353 4063 643 4406 \nQ 934 4750 1428 4750 \nz\n\" id=\"DejaVuSans-25\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" id=\"DejaVuSans-74\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" id=\"DejaVuSans-41\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" id=\"DejaVuSans-63\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" id=\"DejaVuSans-75\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-54\"/>\n      <use x=\"44.083984\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"105.265625\" xlink:href=\"#DejaVuSans-70\"/>\n      <use x=\"168.742188\" xlink:href=\"#DejaVuSans-2d\"/>\n      <use x=\"204.826172\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"268.449219\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"300.236328\" xlink:href=\"#DejaVuSans-25\"/>\n      <use x=\"395.255859\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"427.042969\" xlink:href=\"#DejaVuSans-54\"/>\n      <use x=\"471.126953\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"532.650391\" xlink:href=\"#DejaVuSans-73\"/>\n      <use x=\"584.75\" xlink:href=\"#DejaVuSans-74\"/>\n      <use x=\"623.958984\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"655.746094\" xlink:href=\"#DejaVuSans-41\"/>\n      <use x=\"722.404297\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"777.384766\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"832.365234\" xlink:href=\"#DejaVuSans-75\"/>\n      <use x=\"895.744141\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"936.857422\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"998.136719\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"1053.117188\" xlink:href=\"#DejaVuSans-79\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_31\">\n    <path clip-path=\"url(#p1d60529dc7)\" d=\"M 54.445852 47.347445 \nL 63.376644 58.623526 \nL 81.238228 89.37322 \nL 116.961395 120.087117 \nL 188.407729 149.046957 \nL 331.300398 164.547093 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_32\">\n    <path clip-path=\"url(#p1d60529dc7)\" d=\"M 54.445852 40.04484 \nL 63.376644 32.31267 \nL 81.238228 33.207598 \nL 116.961395 51.106139 \nL 188.407729 76.092502 \nL 331.300398 99.969157 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_33\">\n    <path clip-path=\"url(#p1d60529dc7)\" d=\"M 54.445852 232.20358 \nL 63.376644 125.170303 \nL 81.238228 61.952655 \nL 116.961395 41.369332 \nL 188.407729 40.04484 \nL 331.300398 53.54034 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_34\">\n    <path clip-path=\"url(#p1d60529dc7)\" d=\"M 54.445852 232.20358 \nL 63.376644 232.20358 \nL 81.238228 232.20358 \nL 116.961395 143.963771 \nL 188.407729 87.798148 \nL 331.300398 56.61889 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_35\">\n    <defs>\n     <path d=\"M 0 0 \nL 0 -4 \nM 0 0 \nL -3.2 2 \nM 0 0 \nL 3.2 2 \n\" id=\"m4fbbf517d7\" style=\"stroke:#000000;\"/>\n    </defs>\n    <g clip-path=\"url(#p1d60529dc7)\">\n     <use style=\"stroke:#000000;\" x=\"188.407729\" xlink:href=\"#m4fbbf517d7\" y=\"76.092502\"/>\n    </g>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 40.603125 242.198125 \nL 40.603125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 345.143125 242.198125 \nL 345.143125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 40.603125 242.198125 \nL 345.143125 242.198125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 40.603125 22.318125 \nL 345.143125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_18\">\n    <!-- Accuracy for Varied Dense Layer Shapes -->\n    <g transform=\"translate(71.167812 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path d=\"M 2375 4863 \nL 2375 4384 \nL 1825 4384 \nQ 1516 4384 1395 4259 \nQ 1275 4134 1275 3809 \nL 1275 3500 \nL 2222 3500 \nL 2222 3053 \nL 1275 3053 \nL 1275 0 \nL 697 0 \nL 697 3053 \nL 147 3053 \nL 147 3500 \nL 697 3500 \nL 697 3744 \nQ 697 4328 969 4595 \nQ 1241 4863 1831 4863 \nL 2375 4863 \nz\n\" id=\"DejaVuSans-66\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1831 0 \nL 50 4666 \nL 709 4666 \nL 2188 738 \nL 3669 4666 \nL 4325 4666 \nL 2547 0 \nL 1831 0 \nz\n\" id=\"DejaVuSans-56\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" id=\"DejaVuSans-69\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1259 4147 \nL 1259 519 \nL 2022 519 \nQ 2988 519 3436 956 \nQ 3884 1394 3884 2338 \nQ 3884 3275 3436 3711 \nQ 2988 4147 2022 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 1925 4666 \nQ 3281 4666 3915 4102 \nQ 4550 3538 4550 2338 \nQ 4550 1131 3912 565 \nQ 3275 0 1925 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-44\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" id=\"DejaVuSans-6e\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 4863 \nL 1159 4863 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" id=\"DejaVuSans-68\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-41\"/>\n     <use x=\"66.658203\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"121.638672\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"176.619141\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"239.998047\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"281.111328\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"342.390625\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"397.371094\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"456.550781\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"488.337891\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"523.542969\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"584.724609\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"625.837891\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"657.625\" xlink:href=\"#DejaVuSans-56\"/>\n     <use x=\"718.283203\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"779.5625\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"820.675781\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"848.458984\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"909.982422\" xlink:href=\"#DejaVuSans-64\"/>\n     <use x=\"973.458984\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1005.246094\" xlink:href=\"#DejaVuSans-44\"/>\n     <use x=\"1082.248047\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"1143.771484\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1207.150391\" xlink:href=\"#DejaVuSans-73\"/>\n     <use x=\"1259.25\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"1320.773438\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1352.560547\" xlink:href=\"#DejaVuSans-4c\"/>\n     <use x=\"1408.273438\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"1469.552734\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"1528.732422\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"1590.255859\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"1631.369141\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1663.15625\" xlink:href=\"#DejaVuSans-53\"/>\n     <use x=\"1726.632812\" xlink:href=\"#DejaVuSans-68\"/>\n     <use x=\"1790.011719\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"1851.291016\" xlink:href=\"#DejaVuSans-70\"/>\n     <use x=\"1914.767578\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"1976.291016\" xlink:href=\"#DejaVuSans-73\"/>\n    </g>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 155.556719 237.198125 \nL 230.189531 237.198125 \nQ 232.189531 237.198125 232.189531 235.198125 \nL 232.189531 162.8075 \nQ 232.189531 160.8075 230.189531 160.8075 \nL 155.556719 160.8075 \nQ 153.556719 160.8075 153.556719 162.8075 \nL 153.556719 235.198125 \nQ 153.556719 237.198125 155.556719 237.198125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_36\">\n     <path d=\"M 157.556719 168.905938 \nL 177.556719 168.905938 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_37\"/>\n    <g id=\"text_19\">\n     <!-- 1 Layers -->\n     <g transform=\"translate(185.556719 172.405938)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"151.123047\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"212.402344\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"271.582031\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"333.105469\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"374.21875\" xlink:href=\"#DejaVuSans-73\"/>\n     </g>\n    </g>\n    <g id=\"line2d_38\">\n     <path d=\"M 157.556719 183.584063 \nL 177.556719 183.584063 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_39\"/>\n    <g id=\"text_20\">\n     <!-- 2 Layers -->\n     <g transform=\"translate(185.556719 187.084063)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-32\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"151.123047\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"212.402344\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"271.582031\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"333.105469\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"374.21875\" xlink:href=\"#DejaVuSans-73\"/>\n     </g>\n    </g>\n    <g id=\"line2d_40\">\n     <path d=\"M 157.556719 198.262188 \nL 177.556719 198.262188 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_41\"/>\n    <g id=\"text_21\">\n     <!-- 3 Layers -->\n     <g transform=\"translate(185.556719 201.762188)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-33\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"151.123047\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"212.402344\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"271.582031\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"333.105469\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"374.21875\" xlink:href=\"#DejaVuSans-73\"/>\n     </g>\n    </g>\n    <g id=\"line2d_42\">\n     <path d=\"M 157.556719 212.940313 \nL 177.556719 212.940313 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_43\"/>\n    <g id=\"text_22\">\n     <!-- 4 Layers -->\n     <g transform=\"translate(185.556719 216.440313)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-34\"/>\n      <use x=\"63.623047\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"95.410156\" xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"151.123047\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"212.402344\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"271.582031\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"333.105469\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"374.21875\" xlink:href=\"#DejaVuSans-73\"/>\n     </g>\n    </g>\n    <g id=\"line2d_44\"/>\n    <g id=\"line2d_45\">\n     <g>\n      <use style=\"stroke:#000000;\" x=\"167.556719\" xlink:href=\"#m4fbbf517d7\" y=\"227.618438\"/>\n     </g>\n    </g>\n    <g id=\"text_23\">\n     <!-- AlexNet -->\n     <g transform=\"translate(185.556719 231.118438)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" id=\"DejaVuSans-6c\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3513 3500 \nL 2247 1797 \nL 3578 0 \nL 2900 0 \nL 1881 1375 \nL 863 0 \nL 184 0 \nL 1544 1831 \nL 300 3500 \nL 978 3500 \nL 1906 2253 \nL 2834 3500 \nL 3513 3500 \nz\n\" id=\"DejaVuSans-78\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-41\"/>\n      <use x=\"68.408203\" xlink:href=\"#DejaVuSans-6c\"/>\n      <use x=\"96.191406\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"155.964844\" xlink:href=\"#DejaVuSans-78\"/>\n      <use x=\"215.144531\" xlink:href=\"#DejaVuSans-4e\"/>\n      <use x=\"289.949219\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"351.472656\" xlink:href=\"#DejaVuSans-74\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p1d60529dc7\">\n   <rect height=\"219.88\" width=\"304.54\" x=\"40.603125\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(5, 4))\n",
    "fig.set_dpi(fig_dpi)\n",
    "\n",
    "# plt.plot([196], fc_0_results[2], 'x-', label=f'0 Layers')\n",
    "\n",
    "for i in layers:\n",
    "    plt.plot(nodes, fc_matrix[i-1, :], '-', label=f'{i} Layers', ms=8, lw=lw)\n",
    "\n",
    "plt.plot([4096], [fc_matrix[1, 4]], \"2\", label=\"AlexNet\", ms=\"8\", c=(0, 0, 0))\n",
    "\n",
    "# plt.annotate('Standard\\nAlexNet', \n",
    "#              (4096, fc_matrix[layers.index(2), nodes.index(4096)]),\n",
    "#              textcoords=\"offset points\",\n",
    "#              xytext=(40, 10),\n",
    "#              ha='center',\n",
    "#              arrowprops={'arrowstyle': 'simple'}\n",
    "#             )\n",
    "    \n",
    "plt.title('Accuracy for Varied Dense Layer Shapes')\n",
    "plt.xlabel('Nodes Per Layer')\n",
    "plt.ylabel('Top-1 % Test Accuracy')\n",
    "\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('fc-accuracy.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "340c4eb8",
   "metadata": {},
   "source": [
    "# Convolutional Non-Linearity\n",
    "\n",
    "Exponential LR Decay: 0.98\n",
    "\n",
    "100 Epochs\n",
    "\n",
    "Taking conovlutional layers and distributing the standard number of filters into separate conv layers with ReLu nonlinearity\n",
    "\n",
    "## Index\n",
    "0. convolutional layer\n",
    "1. number of divisions\n",
    "2. top-1 accuracy\n",
    "3. top-5 accuracy\n",
    "4. last val loss\n",
    "5. last val accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "3426107c",
   "metadata": {},
   "outputs": [],
   "source": [
    "conv_nonlin_results = np.array([\n",
    "#     [1, 1, 44.41, 71.83, 3.04, 47.61], # STANDARD ALEXNET\n",
    "#     [1, 2],\n",
    "#     [1, 4],\n",
    "    \n",
    "    [4, 1, 44.41, 71.83, 3.04, 47.61], # STANDARD ALEXNET\n",
    "    [4, 2, 42.31, 71.96, 3.07, 49.75],\n",
    "    [4, 4, 0.8, 2.47, 5.29, 0.55],\n",
    "    \n",
    "    [5, 1, 44.41, 71.83, 3.04, 47.61], # STANDARD ALEXNET\n",
    "    [5, 2, 46.08, 73.87, 3.00, 49.20],\n",
    "    [5, 4, 0.8, 2.47, 5.29, 0.55]\n",
    "])\n",
    "\n",
    "nonlin_layers = [4, 5]\n",
    "nonlin_div = [1, 2, 4]\n",
    "\n",
    "conv_nonlin_matrix = np.zeros((len(nonlin_layers), len(nonlin_div)))\n",
    "for i in conv_nonlin_results:\n",
    "    conv_nonlin_matrix[nonlin_layers.index(i[0]), nonlin_div.index(i[1])] = i[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "d7457e0e",
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 432x288 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<svg height=\"277.314375pt\" version=\"1.1\" viewBox=\"0 0 382.603125 277.314375\" width=\"382.603125pt\" 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>2021-04-27T23:36:00.395911</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 277.314375 \nL 382.603125 277.314375 \nL 382.603125 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 40.603125 239.758125 \nL 375.403125 239.758125 \nL 375.403125 22.318125 \nL 40.603125 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 55.821307 239.758125 \nL 55.821307 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"m3d62dd6f5e\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"55.821307\" xlink:href=\"#m3d62dd6f5e\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 1.0 -->\n      <g transform=\"translate(47.869744 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 106.54858 239.758125 \nL 106.54858 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"106.54858\" xlink:href=\"#m3d62dd6f5e\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 1.5 -->\n      <g transform=\"translate(98.597017 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 157.275852 239.758125 \nL 157.275852 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"157.275852\" xlink:href=\"#m3d62dd6f5e\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 2.0 -->\n      <g transform=\"translate(149.32429 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 208.003125 239.758125 \nL 208.003125 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"208.003125\" xlink:href=\"#m3d62dd6f5e\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 2.5 -->\n      <g transform=\"translate(200.051563 254.356562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 258.730398 239.758125 \nL 258.730398 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"258.730398\" xlink:href=\"#m3d62dd6f5e\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 3.0 -->\n      <g transform=\"translate(250.778835 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 309.45767 239.758125 \nL 309.45767 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"309.45767\" xlink:href=\"#m3d62dd6f5e\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 3.5 -->\n      <g transform=\"translate(301.506108 254.356562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_7\">\n     <g id=\"line2d_13\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 360.184943 239.758125 \nL 360.184943 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_14\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"360.184943\" xlink:href=\"#m3d62dd6f5e\" y=\"239.758125\"/>\n      </g>\n     </g>\n     <g id=\"text_7\">\n      <!-- 4.0 -->\n      <g transform=\"translate(352.233381 254.356562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"95.410156\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_8\">\n     <!-- Layer Divisor -->\n     <g transform=\"translate(175.165625 268.034687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 531 \nL 3531 531 \nL 3531 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4c\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" id=\"DejaVuSans-61\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2059 -325 \nQ 1816 -950 1584 -1140 \nQ 1353 -1331 966 -1331 \nL 506 -1331 \nL 506 -850 \nL 844 -850 \nQ 1081 -850 1212 -737 \nQ 1344 -625 1503 -206 \nL 1606 56 \nL 191 3500 \nL 800 3500 \nL 1894 763 \nL 2988 3500 \nL 3597 3500 \nL 2059 -325 \nz\n\" id=\"DejaVuSans-79\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" id=\"DejaVuSans-65\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" id=\"DejaVuSans-72\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1259 4147 \nL 1259 519 \nL 2022 519 \nQ 2988 519 3436 956 \nQ 3884 1394 3884 2338 \nQ 3884 3275 3436 3711 \nQ 2988 4147 2022 4147 \nL 1259 4147 \nz\nM 628 4666 \nL 1925 4666 \nQ 3281 4666 3915 4102 \nQ 4550 3538 4550 2338 \nQ 4550 1131 3912 565 \nQ 3275 0 1925 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-44\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" id=\"DejaVuSans-69\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 191 3500 \nL 800 3500 \nL 1894 563 \nL 2988 3500 \nL 3597 3500 \nL 2284 0 \nL 1503 0 \nL 191 3500 \nz\n\" id=\"DejaVuSans-76\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" id=\"DejaVuSans-73\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" id=\"DejaVuSans-6f\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"55.712891\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"116.992188\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"176.171875\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"237.695312\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"278.808594\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"310.595703\" xlink:href=\"#DejaVuSans-44\"/>\n      <use x=\"387.597656\" xlink:href=\"#DejaVuSans-69\"/>\n      <use x=\"415.380859\" xlink:href=\"#DejaVuSans-76\"/>\n      <use x=\"474.560547\" xlink:href=\"#DejaVuSans-69\"/>\n      <use x=\"502.34375\" xlink:href=\"#DejaVuSans-73\"/>\n      <use x=\"554.443359\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"615.625\" xlink:href=\"#DejaVuSans-72\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_15\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 40.603125 233.36694 \nL 375.403125 233.36694 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_16\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m0a8b3a5d14\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m0a8b3a5d14\" y=\"233.36694\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 0 -->\n      <g transform=\"translate(27.240625 237.166158)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_17\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 40.603125 189.711302 \nL 375.403125 189.711302 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m0a8b3a5d14\" y=\"189.711302\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 10 -->\n      <g transform=\"translate(20.878125 193.510521)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_19\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 40.603125 146.055664 \nL 375.403125 146.055664 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m0a8b3a5d14\" y=\"146.055664\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 20 -->\n      <g transform=\"translate(20.878125 149.854883)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_21\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 40.603125 102.400027 \nL 375.403125 102.400027 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m0a8b3a5d14\" y=\"102.400027\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 30 -->\n      <g transform=\"translate(20.878125 106.199245)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_23\">\n      <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 40.603125 58.744389 \nL 375.403125 58.744389 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"40.603125\" xlink:href=\"#m0a8b3a5d14\" y=\"58.744389\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 40 -->\n      <g transform=\"translate(20.878125 62.543608)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_14\">\n     <!-- Top-1 % Test Accuracy -->\n     <g transform=\"translate(14.798438 186.652187)rotate(-90)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M -19 4666 \nL 3928 4666 \nL 3928 4134 \nL 2272 4134 \nL 2272 0 \nL 1638 0 \nL 1638 4134 \nL -19 4134 \nL -19 4666 \nz\n\" id=\"DejaVuSans-54\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" id=\"DejaVuSans-70\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 313 2009 \nL 1997 2009 \nL 1997 1497 \nL 313 1497 \nL 313 2009 \nz\n\" id=\"DejaVuSans-2d\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 4653 2053 \nQ 4381 2053 4226 1822 \nQ 4072 1591 4072 1178 \nQ 4072 772 4226 539 \nQ 4381 306 4653 306 \nQ 4919 306 5073 539 \nQ 5228 772 5228 1178 \nQ 5228 1588 5073 1820 \nQ 4919 2053 4653 2053 \nz\nM 4653 2450 \nQ 5147 2450 5437 2106 \nQ 5728 1763 5728 1178 \nQ 5728 594 5436 251 \nQ 5144 -91 4653 -91 \nQ 4153 -91 3862 251 \nQ 3572 594 3572 1178 \nQ 3572 1766 3864 2108 \nQ 4156 2450 4653 2450 \nz\nM 1428 4353 \nQ 1159 4353 1004 4120 \nQ 850 3888 850 3481 \nQ 850 3069 1003 2837 \nQ 1156 2606 1428 2606 \nQ 1700 2606 1854 2837 \nQ 2009 3069 2009 3481 \nQ 2009 3884 1853 4118 \nQ 1697 4353 1428 4353 \nz\nM 4250 4750 \nL 4750 4750 \nL 1831 -91 \nL 1331 -91 \nL 4250 4750 \nz\nM 1428 4750 \nQ 1922 4750 2215 4408 \nQ 2509 4066 2509 3481 \nQ 2509 2891 2217 2550 \nQ 1925 2209 1428 2209 \nQ 931 2209 642 2551 \nQ 353 2894 353 3481 \nQ 353 4063 643 4406 \nQ 934 4750 1428 4750 \nz\n\" id=\"DejaVuSans-25\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" id=\"DejaVuSans-74\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" id=\"DejaVuSans-41\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" id=\"DejaVuSans-63\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" id=\"DejaVuSans-75\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-54\"/>\n      <use x=\"44.083984\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"105.265625\" xlink:href=\"#DejaVuSans-70\"/>\n      <use x=\"168.742188\" xlink:href=\"#DejaVuSans-2d\"/>\n      <use x=\"204.826172\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"268.449219\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"300.236328\" xlink:href=\"#DejaVuSans-25\"/>\n      <use x=\"395.255859\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"427.042969\" xlink:href=\"#DejaVuSans-54\"/>\n      <use x=\"471.126953\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"532.650391\" xlink:href=\"#DejaVuSans-73\"/>\n      <use x=\"584.75\" xlink:href=\"#DejaVuSans-74\"/>\n      <use x=\"623.958984\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"655.746094\" xlink:href=\"#DejaVuSans-41\"/>\n      <use x=\"722.404297\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"777.384766\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"832.365234\" xlink:href=\"#DejaVuSans-75\"/>\n      <use x=\"895.744141\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"936.857422\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"998.136719\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"1053.117188\" xlink:href=\"#DejaVuSans-79\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_25\">\n    <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 55.821307 39.492253 \nL 157.275852 48.659937 \nL 360.184943 229.874489 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    <defs>\n     <path d=\"M -3 3 \nL 3 -3 \nM -3 -3 \nL 3 3 \n\" id=\"m7087967900\" style=\"stroke:#1f77b4;\"/>\n    </defs>\n    <g clip-path=\"url(#p7dfacff8d9)\">\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"55.821307\" xlink:href=\"#m7087967900\" y=\"39.492253\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"157.275852\" xlink:href=\"#m7087967900\" y=\"48.659937\"/>\n     <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"360.184943\" xlink:href=\"#m7087967900\" y=\"229.874489\"/>\n    </g>\n   </g>\n   <g id=\"line2d_26\">\n    <path clip-path=\"url(#p7dfacff8d9)\" d=\"M 55.821307 39.492253 \nL 157.275852 32.201761 \nL 360.184943 229.874489 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    <defs>\n     <path d=\"M -3 3 \nL 3 -3 \nM -3 -3 \nL 3 3 \n\" id=\"m3754f38625\" style=\"stroke:#ff7f0e;\"/>\n    </defs>\n    <g clip-path=\"url(#p7dfacff8d9)\">\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"55.821307\" xlink:href=\"#m3754f38625\" y=\"39.492253\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"157.275852\" xlink:href=\"#m3754f38625\" y=\"32.201761\"/>\n     <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"360.184943\" xlink:href=\"#m3754f38625\" y=\"229.874489\"/>\n    </g>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 40.603125 239.758125 \nL 40.603125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 375.403125 239.758125 \nL 375.403125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 40.603125 239.758125 \nL 375.403125 239.758125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 40.603125 22.318125 \nL 375.403125 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_15\">\n    <!-- Accuracy for Varied Convolutional Non-Linearity -->\n    <g transform=\"translate(64.244063 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path d=\"M 2375 4863 \nL 2375 4384 \nL 1825 4384 \nQ 1516 4384 1395 4259 \nQ 1275 4134 1275 3809 \nL 1275 3500 \nL 2222 3500 \nL 2222 3053 \nL 1275 3053 \nL 1275 0 \nL 697 0 \nL 697 3053 \nL 147 3053 \nL 147 3500 \nL 697 3500 \nL 697 3744 \nQ 697 4328 969 4595 \nQ 1241 4863 1831 4863 \nL 2375 4863 \nz\n\" id=\"DejaVuSans-66\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1831 0 \nL 50 4666 \nL 709 4666 \nL 2188 738 \nL 3669 4666 \nL 4325 4666 \nL 2547 0 \nL 1831 0 \nz\n\" id=\"DejaVuSans-56\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" id=\"DejaVuSans-64\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 4122 4306 \nL 4122 3641 \nQ 3803 3938 3442 4084 \nQ 3081 4231 2675 4231 \nQ 1875 4231 1450 3742 \nQ 1025 3253 1025 2328 \nQ 1025 1406 1450 917 \nQ 1875 428 2675 428 \nQ 3081 428 3442 575 \nQ 3803 722 4122 1019 \nL 4122 359 \nQ 3791 134 3420 21 \nQ 3050 -91 2638 -91 \nQ 1578 -91 968 557 \nQ 359 1206 359 2328 \nQ 359 3453 968 4101 \nQ 1578 4750 2638 4750 \nQ 3056 4750 3426 4639 \nQ 3797 4528 4122 4306 \nz\n\" id=\"DejaVuSans-43\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" id=\"DejaVuSans-6e\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" id=\"DejaVuSans-6c\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4e\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-41\"/>\n     <use x=\"66.658203\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"121.638672\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"176.619141\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"239.998047\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"281.111328\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"342.390625\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"397.371094\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"456.550781\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"488.337891\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"523.542969\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"584.724609\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"625.837891\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"657.625\" xlink:href=\"#DejaVuSans-56\"/>\n     <use x=\"718.283203\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"779.5625\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"820.675781\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"848.458984\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"909.982422\" xlink:href=\"#DejaVuSans-64\"/>\n     <use x=\"973.458984\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1005.246094\" xlink:href=\"#DejaVuSans-43\"/>\n     <use x=\"1075.070312\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1136.251953\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1199.630859\" xlink:href=\"#DejaVuSans-76\"/>\n     <use x=\"1258.810547\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1319.992188\" xlink:href=\"#DejaVuSans-6c\"/>\n     <use x=\"1347.775391\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"1411.154297\" xlink:href=\"#DejaVuSans-74\"/>\n     <use x=\"1450.363281\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1478.146484\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1539.328125\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1602.707031\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"1663.986328\" xlink:href=\"#DejaVuSans-6c\"/>\n     <use x=\"1691.769531\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1723.556641\" xlink:href=\"#DejaVuSans-4e\"/>\n     <use x=\"1798.361328\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1859.542969\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1922.921875\" xlink:href=\"#DejaVuSans-2d\"/>\n     <use x=\"1959.005859\" xlink:href=\"#DejaVuSans-4c\"/>\n     <use x=\"2014.71875\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"2042.501953\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"2105.880859\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"2167.404297\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"2228.683594\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"2269.796875\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"2297.580078\" xlink:href=\"#DejaVuSans-74\"/>\n     <use x=\"2336.789062\" xlink:href=\"#DejaVuSans-79\"/>\n    </g>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 298.979688 59.674375 \nL 368.403125 59.674375 \nQ 370.403125 59.674375 370.403125 57.674375 \nL 370.403125 29.318125 \nQ 370.403125 27.318125 368.403125 27.318125 \nL 298.979688 27.318125 \nQ 296.979688 27.318125 296.979688 29.318125 \nL 296.979688 57.674375 \nQ 296.979688 59.674375 298.979688 59.674375 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_27\">\n     <path d=\"M 300.979688 35.416562 \nL 320.979688 35.416562 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_28\">\n     <g>\n      <use style=\"fill:#1f77b4;stroke:#1f77b4;\" x=\"310.979688\" xlink:href=\"#m7087967900\" y=\"35.416562\"/>\n     </g>\n    </g>\n    <g id=\"text_16\">\n     <!-- Layer 4 -->\n     <g transform=\"translate(328.979688 38.916562)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"55.712891\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"116.992188\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"176.171875\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"237.695312\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"278.808594\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"310.595703\" xlink:href=\"#DejaVuSans-34\"/>\n     </g>\n    </g>\n    <g id=\"line2d_29\">\n     <path d=\"M 300.979688 50.094687 \nL 320.979688 50.094687 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:1.5;\"/>\n    </g>\n    <g id=\"line2d_30\">\n     <g>\n      <use style=\"fill:#ff7f0e;stroke:#ff7f0e;\" x=\"310.979688\" xlink:href=\"#m3754f38625\" y=\"50.094687\"/>\n     </g>\n    </g>\n    <g id=\"text_17\">\n     <!-- Layer 5 -->\n     <g transform=\"translate(328.979688 53.594687)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"55.712891\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"116.992188\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"176.171875\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"237.695312\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"278.808594\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"310.595703\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"p7dfacff8d9\">\n   <rect height=\"217.44\" width=\"334.8\" x=\"40.603125\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "for idx, i in enumerate(nonlin_layers):\n",
    "    plt.plot(nonlin_div, conv_nonlin_matrix[idx, :], 'x-', label=f'Layer {i}')\n",
    "\n",
    "plt.title('Accuracy for Varied Convolutional Non-Linearity')\n",
    "plt.xlabel('Layer Divisor')\n",
    "plt.ylabel('Top-1 % Test Accuracy')\n",
    "\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "# Convolutional Kernel Size\n",
    "\n",
    "Exponential LR Decay: 0.98\n",
    "\n",
    "100 Epochs\n",
    "\n",
    "## Index\n",
    "0. convolutional layer\n",
    "1. kernel size\n",
    "2. top-1 accuracy\n",
    "3. top-5 accuracy\n",
    "4. last val loss\n",
    "5. last val accuracy"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "kernel_results = np.array([\n",
    "    [1, 3, 37.06, 64.73, 3.38, 44.36],\n",
    "    [1, 5, 43.73, 70.35, 3.19, 48.22],\n",
    "    [1, 7, 44.72, 71.16, 3.00, 48.96],\n",
    "    [1, 11, 44.41, 71.83, 3.04, 47.61], # DEFAULT ALEXNET\n",
    "    [1, 15, 43.17, 71.59, 3.09, 47.55],\n",
    "\n",
    "    [2, 3, 41.63, 67.63, 3.24, 45.53],\n",
    "    [2, 5, 44.41, 71.83, 3.04, 47.61], # DEFAULT ALEXNET\n",
    "    [2, 7, 45.15, 72.21, 2.97, 50.49],\n",
    "    [2, 9, 43.61, 71.34, 3.10, 47.37],\n",
    "    [2, 11, 39.35, 65.6, 3.36, 44.98],\n",
    "\n",
    "    [3, 3, 44.41, 71.83, 3.04, 47.61], # DEFAULT ALEXNET\n",
    "    [3, 5, 50.59, 75.91, 2.74, 53.80],\n",
    "    [3, 7, 47.13, 75.48, 3.19, 52.21],\n",
    "    [3, 9, 40.83, 69.73, 3.90, 47.00],\n",
    "    [3, 11, 33.29, 61.70, 5.27, 38.05],\n",
    "\n",
    "    [4, 3, 44.41, 71.83, 3.04, 47.61], # DEFAULT ALEXNET\n",
    "    [4, 5, 48.67, 74.74, 2.92, 51.84],\n",
    "    [4, 7, 49.54, 76.34, 2.98, 52.63],\n",
    "    [4, 9, 47.19, 74.24, 3.40, 50.37],\n",
    "    [4, 11, 43.55, 70.29, 3.98, 47.24],\n",
    "\n",
    "    [5, 3, 44.41, 71.83, 3.04, 47.61], # DEFAULT ALEXNET\n",
    "    [5, 5, 46.94, 74.31, 2.88, 51.53],\n",
    "    [5, 7, 48.24, 75.42, 2.87, 51.84],\n",
    "    [5, 9, 47.56, 74.68, 2.94, 53.43],\n",
    "    [5, 11, 44.1, 72.45, 3.60, 48.28],\n",
    "])\n",
    "\n",
    "default_kernel_sizes = [11, 5, 3, 3, 3]\n",
    "kernel_layers = {i[0] for i in kernel_results}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": "<Figure size 1000x700 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<svg height=\"243.754375pt\" version=\"1.1\" viewBox=\"0 0 352.34375 243.754375\" width=\"352.34375pt\" 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>2021-04-27T23:36:00.835957</dc:date>\n    <dc:format>image/svg+xml</dc:format>\n    <dc:creator>\n     <cc:Agent>\n      <dc:title>Matplotlib v3.4.1, https://matplotlib.org/</dc:title>\n     </cc:Agent>\n    </dc:creator>\n   </cc:Work>\n  </rdf:RDF>\n </metadata>\n <defs>\n  <style type=\"text/css\">*{stroke-linecap:butt;stroke-linejoin:round;}</style>\n </defs>\n <g id=\"figure_1\">\n  <g id=\"patch_1\">\n   <path d=\"M 0 243.754375 \nL 352.34375 243.754375 \nL 352.34375 0 \nL 0 0 \nz\n\" style=\"fill:none;\"/>\n  </g>\n  <g id=\"axes_1\">\n   <g id=\"patch_2\">\n    <path d=\"M 50.14375 206.198125 \nL 345.14375 206.198125 \nL 345.14375 22.318125 \nL 50.14375 22.318125 \nz\n\" style=\"fill:#ffffff;\"/>\n   </g>\n   <g id=\"matplotlib.axis_1\">\n    <g id=\"xtick_1\">\n     <g id=\"line2d_1\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 85.901326 206.198125 \nL 85.901326 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_2\">\n      <defs>\n       <path d=\"M 0 0 \nL 0 3.5 \n\" id=\"me142eee882\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"85.901326\" xlink:href=\"#me142eee882\" y=\"206.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_1\">\n      <!-- 4 -->\n      <g transform=\"translate(82.720076 220.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2419 4116 \nL 825 1625 \nL 2419 1625 \nL 2419 4116 \nz\nM 2253 4666 \nL 3047 4666 \nL 3047 1625 \nL 3713 1625 \nL 3713 1100 \nL 3047 1100 \nL 3047 0 \nL 2419 0 \nL 2419 1100 \nL 313 1100 \nL 313 1709 \nL 2253 4666 \nz\n\" id=\"DejaVuSans-34\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_2\">\n     <g id=\"line2d_3\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 130.598295 206.198125 \nL 130.598295 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_4\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"130.598295\" xlink:href=\"#me142eee882\" y=\"206.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_2\">\n      <!-- 6 -->\n      <g transform=\"translate(127.417045 220.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2113 2584 \nQ 1688 2584 1439 2293 \nQ 1191 2003 1191 1497 \nQ 1191 994 1439 701 \nQ 1688 409 2113 409 \nQ 2538 409 2786 701 \nQ 3034 994 3034 1497 \nQ 3034 2003 2786 2293 \nQ 2538 2584 2113 2584 \nz\nM 3366 4563 \nL 3366 3988 \nQ 3128 4100 2886 4159 \nQ 2644 4219 2406 4219 \nQ 1781 4219 1451 3797 \nQ 1122 3375 1075 2522 \nQ 1259 2794 1537 2939 \nQ 1816 3084 2150 3084 \nQ 2853 3084 3261 2657 \nQ 3669 2231 3669 1497 \nQ 3669 778 3244 343 \nQ 2819 -91 2113 -91 \nQ 1303 -91 875 529 \nQ 447 1150 447 2328 \nQ 447 3434 972 4092 \nQ 1497 4750 2381 4750 \nQ 2619 4750 2861 4703 \nQ 3103 4656 3366 4563 \nz\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-36\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_3\">\n     <g id=\"line2d_5\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 175.295265 206.198125 \nL 175.295265 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_6\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"175.295265\" xlink:href=\"#me142eee882\" y=\"206.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_3\">\n      <!-- 8 -->\n      <g transform=\"translate(172.114015 220.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2034 2216 \nQ 1584 2216 1326 1975 \nQ 1069 1734 1069 1313 \nQ 1069 891 1326 650 \nQ 1584 409 2034 409 \nQ 2484 409 2743 651 \nQ 3003 894 3003 1313 \nQ 3003 1734 2745 1975 \nQ 2488 2216 2034 2216 \nz\nM 1403 2484 \nQ 997 2584 770 2862 \nQ 544 3141 544 3541 \nQ 544 4100 942 4425 \nQ 1341 4750 2034 4750 \nQ 2731 4750 3128 4425 \nQ 3525 4100 3525 3541 \nQ 3525 3141 3298 2862 \nQ 3072 2584 2669 2484 \nQ 3125 2378 3379 2068 \nQ 3634 1759 3634 1313 \nQ 3634 634 3220 271 \nQ 2806 -91 2034 -91 \nQ 1263 -91 848 271 \nQ 434 634 434 1313 \nQ 434 1759 690 2068 \nQ 947 2378 1403 2484 \nz\nM 1172 3481 \nQ 1172 3119 1398 2916 \nQ 1625 2713 2034 2713 \nQ 2441 2713 2670 2916 \nQ 2900 3119 2900 3481 \nQ 2900 3844 2670 4047 \nQ 2441 4250 2034 4250 \nQ 1625 4250 1398 4047 \nQ 1172 3844 1172 3481 \nz\n\" id=\"DejaVuSans-38\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-38\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_4\">\n     <g id=\"line2d_7\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 219.992235 206.198125 \nL 219.992235 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_8\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"219.992235\" xlink:href=\"#me142eee882\" y=\"206.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_4\">\n      <!-- 10 -->\n      <g transform=\"translate(213.629735 220.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 794 531 \nL 1825 531 \nL 1825 4091 \nL 703 3866 \nL 703 4441 \nL 1819 4666 \nL 2450 4666 \nL 2450 531 \nL 3481 531 \nL 3481 0 \nL 794 0 \nL 794 531 \nz\n\" id=\"DejaVuSans-31\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 2034 4250 \nQ 1547 4250 1301 3770 \nQ 1056 3291 1056 2328 \nQ 1056 1369 1301 889 \nQ 1547 409 2034 409 \nQ 2525 409 2770 889 \nQ 3016 1369 3016 2328 \nQ 3016 3291 2770 3770 \nQ 2525 4250 2034 4250 \nz\nM 2034 4750 \nQ 2819 4750 3233 4129 \nQ 3647 3509 3647 2328 \nQ 3647 1150 3233 529 \nQ 2819 -91 2034 -91 \nQ 1250 -91 836 529 \nQ 422 1150 422 2328 \nQ 422 3509 836 4129 \nQ 1250 4750 2034 4750 \nz\n\" id=\"DejaVuSans-30\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_5\">\n     <g id=\"line2d_9\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 264.689205 206.198125 \nL 264.689205 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_10\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"264.689205\" xlink:href=\"#me142eee882\" y=\"206.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_5\">\n      <!-- 12 -->\n      <g transform=\"translate(258.326705 220.796562)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 1228 531 \nL 3431 531 \nL 3431 0 \nL 469 0 \nL 469 531 \nQ 828 903 1448 1529 \nQ 2069 2156 2228 2338 \nQ 2531 2678 2651 2914 \nQ 2772 3150 2772 3378 \nQ 2772 3750 2511 3984 \nQ 2250 4219 1831 4219 \nQ 1534 4219 1204 4116 \nQ 875 4013 500 3803 \nL 500 4441 \nQ 881 4594 1212 4672 \nQ 1544 4750 1819 4750 \nQ 2544 4750 2975 4387 \nQ 3406 4025 3406 3419 \nQ 3406 3131 3298 2873 \nQ 3191 2616 2906 2266 \nQ 2828 2175 2409 1742 \nQ 1991 1309 1228 531 \nz\n\" id=\"DejaVuSans-32\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"xtick_6\">\n     <g id=\"line2d_11\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 309.386174 206.198125 \nL 309.386174 22.318125 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_12\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"309.386174\" xlink:href=\"#me142eee882\" y=\"206.198125\"/>\n      </g>\n     </g>\n     <g id=\"text_6\">\n      <!-- 14 -->\n      <g transform=\"translate(303.023674 220.796562)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-31\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-34\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_7\">\n     <!-- Kernel Size -->\n     <g transform=\"translate(170.082813 234.474687)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 2694 \nL 3353 4666 \nL 4166 4666 \nL 1850 2491 \nL 4331 0 \nL 3500 0 \nL 1259 2247 \nL 1259 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4b\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3597 1894 \nL 3597 1613 \nL 953 1613 \nQ 991 1019 1311 708 \nQ 1631 397 2203 397 \nQ 2534 397 2845 478 \nQ 3156 559 3463 722 \nL 3463 178 \nQ 3153 47 2828 -22 \nQ 2503 -91 2169 -91 \nQ 1331 -91 842 396 \nQ 353 884 353 1716 \nQ 353 2575 817 3079 \nQ 1281 3584 2069 3584 \nQ 2775 3584 3186 3129 \nQ 3597 2675 3597 1894 \nz\nM 3022 2063 \nQ 3016 2534 2758 2815 \nQ 2500 3097 2075 3097 \nQ 1594 3097 1305 2825 \nQ 1016 2553 972 2059 \nL 3022 2063 \nz\n\" id=\"DejaVuSans-65\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2631 2963 \nQ 2534 3019 2420 3045 \nQ 2306 3072 2169 3072 \nQ 1681 3072 1420 2755 \nQ 1159 2438 1159 1844 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1341 3275 1631 3429 \nQ 1922 3584 2338 3584 \nQ 2397 3584 2469 3576 \nQ 2541 3569 2628 3553 \nL 2631 2963 \nz\n\" id=\"DejaVuSans-72\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3513 2113 \nL 3513 0 \nL 2938 0 \nL 2938 2094 \nQ 2938 2591 2744 2837 \nQ 2550 3084 2163 3084 \nQ 1697 3084 1428 2787 \nQ 1159 2491 1159 1978 \nL 1159 0 \nL 581 0 \nL 581 3500 \nL 1159 3500 \nL 1159 2956 \nQ 1366 3272 1645 3428 \nQ 1925 3584 2291 3584 \nQ 2894 3584 3203 3211 \nQ 3513 2838 3513 2113 \nz\n\" id=\"DejaVuSans-6e\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 603 4863 \nL 1178 4863 \nL 1178 0 \nL 603 0 \nL 603 4863 \nz\n\" id=\"DejaVuSans-6c\" transform=\"scale(0.015625)\"/>\n       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3425 4513 \nL 3425 3897 \nQ 3066 4069 2747 4153 \nQ 2428 4238 2131 4238 \nQ 1616 4238 1336 4038 \nQ 1056 3838 1056 3469 \nQ 1056 3159 1242 3001 \nQ 1428 2844 1947 2747 \nL 2328 2669 \nQ 3034 2534 3370 2195 \nQ 3706 1856 3706 1288 \nQ 3706 609 3251 259 \nQ 2797 -91 1919 -91 \nQ 1588 -91 1214 -16 \nQ 841 59 441 206 \nL 441 856 \nQ 825 641 1194 531 \nQ 1563 422 1919 422 \nQ 2459 422 2753 634 \nQ 3047 847 3047 1241 \nQ 3047 1584 2836 1778 \nQ 2625 1972 2144 2069 \nL 1759 2144 \nQ 1053 2284 737 2584 \nQ 422 2884 422 3419 \nQ 422 4038 858 4394 \nQ 1294 4750 2059 4750 \nQ 2388 4750 2728 4690 \nQ 3069 4631 3425 4513 \nz\n\" id=\"DejaVuSans-53\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 603 3500 \nL 1178 3500 \nL 1178 0 \nL 603 0 \nL 603 3500 \nz\nM 603 4863 \nL 1178 4863 \nL 1178 4134 \nL 603 4134 \nL 603 4863 \nz\n\" id=\"DejaVuSans-69\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 353 3500 \nL 3084 3500 \nL 3084 2975 \nL 922 459 \nL 3084 459 \nL 3084 0 \nL 275 0 \nL 275 525 \nL 2438 3041 \nL 353 3041 \nL 353 3500 \nz\n\" id=\"DejaVuSans-7a\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4b\"/>\n      <use x=\"60.576172\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"122.099609\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"161.462891\" xlink:href=\"#DejaVuSans-6e\"/>\n      <use x=\"224.841797\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"286.365234\" xlink:href=\"#DejaVuSans-6c\"/>\n      <use x=\"314.148438\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"345.935547\" xlink:href=\"#DejaVuSans-53\"/>\n      <use x=\"409.412109\" xlink:href=\"#DejaVuSans-69\"/>\n      <use x=\"437.195312\" xlink:href=\"#DejaVuSans-7a\"/>\n      <use x=\"489.685547\" xlink:href=\"#DejaVuSans-65\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"matplotlib.axis_2\">\n    <g id=\"ytick_1\">\n     <g id=\"line2d_13\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 50.14375 205.473427 \nL 345.14375 205.473427 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_14\">\n      <defs>\n       <path d=\"M 0 0 \nL -3.5 0 \n\" id=\"m34b764e6fc\" style=\"stroke:#000000;stroke-width:0.8;\"/>\n      </defs>\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"50.14375\" xlink:href=\"#m34b764e6fc\" y=\"205.473427\"/>\n      </g>\n     </g>\n     <g id=\"text_8\">\n      <!-- 32.5 -->\n      <g transform=\"translate(20.878125 209.272646)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 2597 2516 \nQ 3050 2419 3304 2112 \nQ 3559 1806 3559 1356 \nQ 3559 666 3084 287 \nQ 2609 -91 1734 -91 \nQ 1441 -91 1130 -33 \nQ 819 25 488 141 \nL 488 750 \nQ 750 597 1062 519 \nQ 1375 441 1716 441 \nQ 2309 441 2620 675 \nQ 2931 909 2931 1356 \nQ 2931 1769 2642 2001 \nQ 2353 2234 1838 2234 \nL 1294 2234 \nL 1294 2753 \nL 1863 2753 \nQ 2328 2753 2575 2939 \nQ 2822 3125 2822 3475 \nQ 2822 3834 2567 4026 \nQ 2313 4219 1838 4219 \nQ 1578 4219 1281 4162 \nQ 984 4106 628 3988 \nL 628 4550 \nQ 988 4650 1302 4700 \nQ 1616 4750 1894 4750 \nQ 2613 4750 3031 4423 \nQ 3450 4097 3450 3541 \nQ 3450 3153 3228 2886 \nQ 3006 2619 2597 2516 \nz\n\" id=\"DejaVuSans-33\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 684 794 \nL 1344 794 \nL 1344 0 \nL 684 0 \nL 684 794 \nz\n\" id=\"DejaVuSans-2e\" transform=\"scale(0.015625)\"/>\n        <path d=\"M 691 4666 \nL 3169 4666 \nL 3169 4134 \nL 1269 4134 \nL 1269 2991 \nQ 1406 3038 1543 3061 \nQ 1681 3084 1819 3084 \nQ 2600 3084 3056 2656 \nQ 3513 2228 3513 1497 \nQ 3513 744 3044 326 \nQ 2575 -91 1722 -91 \nQ 1428 -91 1123 -41 \nQ 819 9 494 109 \nL 494 744 \nQ 775 591 1075 516 \nQ 1375 441 1709 441 \nQ 2250 441 2565 725 \nQ 2881 1009 2881 1497 \nQ 2881 1984 2565 2268 \nQ 2250 2553 1709 2553 \nQ 1456 2553 1204 2497 \nQ 953 2441 691 2322 \nL 691 4666 \nz\n\" id=\"DejaVuSans-35\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_2\">\n     <g id=\"line2d_15\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 50.14375 181.316832 \nL 345.14375 181.316832 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_16\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"50.14375\" xlink:href=\"#m34b764e6fc\" y=\"181.316832\"/>\n      </g>\n     </g>\n     <g id=\"text_9\">\n      <!-- 35.0 -->\n      <g transform=\"translate(20.878125 185.116051)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_3\">\n     <g id=\"line2d_17\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 50.14375 157.160237 \nL 345.14375 157.160237 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_18\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"50.14375\" xlink:href=\"#m34b764e6fc\" y=\"157.160237\"/>\n      </g>\n     </g>\n     <g id=\"text_10\">\n      <!-- 37.5 -->\n      <g transform=\"translate(20.878125 160.959456)scale(0.1 -0.1)\">\n       <defs>\n        <path d=\"M 525 4666 \nL 3525 4666 \nL 3525 4397 \nL 1831 0 \nL 1172 0 \nL 2766 4134 \nL 525 4134 \nL 525 4666 \nz\n\" id=\"DejaVuSans-37\" transform=\"scale(0.015625)\"/>\n       </defs>\n       <use xlink:href=\"#DejaVuSans-33\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_4\">\n     <g id=\"line2d_19\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 50.14375 133.003643 \nL 345.14375 133.003643 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_20\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"50.14375\" xlink:href=\"#m34b764e6fc\" y=\"133.003643\"/>\n      </g>\n     </g>\n     <g id=\"text_11\">\n      <!-- 40.0 -->\n      <g transform=\"translate(20.878125 136.802861)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_5\">\n     <g id=\"line2d_21\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 50.14375 108.847048 \nL 345.14375 108.847048 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_22\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"50.14375\" xlink:href=\"#m34b764e6fc\" y=\"108.847048\"/>\n      </g>\n     </g>\n     <g id=\"text_12\">\n      <!-- 42.5 -->\n      <g transform=\"translate(20.878125 112.646267)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-32\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_6\">\n     <g id=\"line2d_23\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 50.14375 84.690453 \nL 345.14375 84.690453 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_24\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"50.14375\" xlink:href=\"#m34b764e6fc\" y=\"84.690453\"/>\n      </g>\n     </g>\n     <g id=\"text_13\">\n      <!-- 45.0 -->\n      <g transform=\"translate(20.878125 88.489672)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_7\">\n     <g id=\"line2d_25\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 50.14375 60.533858 \nL 345.14375 60.533858 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_26\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"50.14375\" xlink:href=\"#m34b764e6fc\" y=\"60.533858\"/>\n      </g>\n     </g>\n     <g id=\"text_14\">\n      <!-- 47.5 -->\n      <g transform=\"translate(20.878125 64.333077)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-34\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-37\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-35\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"ytick_8\">\n     <g id=\"line2d_27\">\n      <path clip-path=\"url(#pce67704def)\" d=\"M 50.14375 36.377263 \nL 345.14375 36.377263 \n\" style=\"fill:none;stroke:#b0b0b0;stroke-linecap:square;stroke-width:0.8;\"/>\n     </g>\n     <g id=\"line2d_28\">\n      <g>\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"50.14375\" xlink:href=\"#m34b764e6fc\" y=\"36.377263\"/>\n      </g>\n     </g>\n     <g id=\"text_15\">\n      <!-- 50.0 -->\n      <g transform=\"translate(20.878125 40.176482)scale(0.1 -0.1)\">\n       <use xlink:href=\"#DejaVuSans-35\"/>\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-2e\"/>\n       <use x=\"159.033203\" xlink:href=\"#DejaVuSans-30\"/>\n      </g>\n     </g>\n    </g>\n    <g id=\"text_16\">\n     <!-- Top-1 % Test Accuracy -->\n     <g transform=\"translate(14.798438 169.872187)rotate(-90)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M -19 4666 \nL 3928 4666 \nL 3928 4134 \nL 2272 4134 \nL 2272 0 \nL 1638 0 \nL 1638 4134 \nL -19 4134 \nL -19 4666 \nz\n\" id=\"DejaVuSans-54\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1959 3097 \nQ 1497 3097 1228 2736 \nQ 959 2375 959 1747 \nQ 959 1119 1226 758 \nQ 1494 397 1959 397 \nQ 2419 397 2687 759 \nQ 2956 1122 2956 1747 \nQ 2956 2369 2687 2733 \nQ 2419 3097 1959 3097 \nz\nM 1959 3584 \nQ 2709 3584 3137 3096 \nQ 3566 2609 3566 1747 \nQ 3566 888 3137 398 \nQ 2709 -91 1959 -91 \nQ 1206 -91 779 398 \nQ 353 888 353 1747 \nQ 353 2609 779 3096 \nQ 1206 3584 1959 3584 \nz\n\" id=\"DejaVuSans-6f\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1159 525 \nL 1159 -1331 \nL 581 -1331 \nL 581 3500 \nL 1159 3500 \nL 1159 2969 \nQ 1341 3281 1617 3432 \nQ 1894 3584 2278 3584 \nQ 2916 3584 3314 3078 \nQ 3713 2572 3713 1747 \nQ 3713 922 3314 415 \nQ 2916 -91 2278 -91 \nQ 1894 -91 1617 61 \nQ 1341 213 1159 525 \nz\nM 3116 1747 \nQ 3116 2381 2855 2742 \nQ 2594 3103 2138 3103 \nQ 1681 3103 1420 2742 \nQ 1159 2381 1159 1747 \nQ 1159 1113 1420 752 \nQ 1681 391 2138 391 \nQ 2594 391 2855 752 \nQ 3116 1113 3116 1747 \nz\n\" id=\"DejaVuSans-70\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 313 2009 \nL 1997 2009 \nL 1997 1497 \nL 313 1497 \nL 313 2009 \nz\n\" id=\"DejaVuSans-2d\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 4653 2053 \nQ 4381 2053 4226 1822 \nQ 4072 1591 4072 1178 \nQ 4072 772 4226 539 \nQ 4381 306 4653 306 \nQ 4919 306 5073 539 \nQ 5228 772 5228 1178 \nQ 5228 1588 5073 1820 \nQ 4919 2053 4653 2053 \nz\nM 4653 2450 \nQ 5147 2450 5437 2106 \nQ 5728 1763 5728 1178 \nQ 5728 594 5436 251 \nQ 5144 -91 4653 -91 \nQ 4153 -91 3862 251 \nQ 3572 594 3572 1178 \nQ 3572 1766 3864 2108 \nQ 4156 2450 4653 2450 \nz\nM 1428 4353 \nQ 1159 4353 1004 4120 \nQ 850 3888 850 3481 \nQ 850 3069 1003 2837 \nQ 1156 2606 1428 2606 \nQ 1700 2606 1854 2837 \nQ 2009 3069 2009 3481 \nQ 2009 3884 1853 4118 \nQ 1697 4353 1428 4353 \nz\nM 4250 4750 \nL 4750 4750 \nL 1831 -91 \nL 1331 -91 \nL 4250 4750 \nz\nM 1428 4750 \nQ 1922 4750 2215 4408 \nQ 2509 4066 2509 3481 \nQ 2509 2891 2217 2550 \nQ 1925 2209 1428 2209 \nQ 931 2209 642 2551 \nQ 353 2894 353 3481 \nQ 353 4063 643 4406 \nQ 934 4750 1428 4750 \nz\n\" id=\"DejaVuSans-25\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2834 3397 \nL 2834 2853 \nQ 2591 2978 2328 3040 \nQ 2066 3103 1784 3103 \nQ 1356 3103 1142 2972 \nQ 928 2841 928 2578 \nQ 928 2378 1081 2264 \nQ 1234 2150 1697 2047 \nL 1894 2003 \nQ 2506 1872 2764 1633 \nQ 3022 1394 3022 966 \nQ 3022 478 2636 193 \nQ 2250 -91 1575 -91 \nQ 1294 -91 989 -36 \nQ 684 19 347 128 \nL 347 722 \nQ 666 556 975 473 \nQ 1284 391 1588 391 \nQ 1994 391 2212 530 \nQ 2431 669 2431 922 \nQ 2431 1156 2273 1281 \nQ 2116 1406 1581 1522 \nL 1381 1569 \nQ 847 1681 609 1914 \nQ 372 2147 372 2553 \nQ 372 3047 722 3315 \nQ 1072 3584 1716 3584 \nQ 2034 3584 2315 3537 \nQ 2597 3491 2834 3397 \nz\n\" id=\"DejaVuSans-73\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 1172 4494 \nL 1172 3500 \nL 2356 3500 \nL 2356 3053 \nL 1172 3053 \nL 1172 1153 \nQ 1172 725 1289 603 \nQ 1406 481 1766 481 \nL 2356 481 \nL 2356 0 \nL 1766 0 \nQ 1100 0 847 248 \nQ 594 497 594 1153 \nL 594 3053 \nL 172 3053 \nL 172 3500 \nL 594 3500 \nL 594 4494 \nL 1172 4494 \nz\n\" id=\"DejaVuSans-74\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2188 4044 \nL 1331 1722 \nL 3047 1722 \nL 2188 4044 \nz\nM 1831 4666 \nL 2547 4666 \nL 4325 0 \nL 3669 0 \nL 3244 1197 \nL 1141 1197 \nL 716 0 \nL 50 0 \nL 1831 4666 \nz\n\" id=\"DejaVuSans-41\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 3122 3366 \nL 3122 2828 \nQ 2878 2963 2633 3030 \nQ 2388 3097 2138 3097 \nQ 1578 3097 1268 2742 \nQ 959 2388 959 1747 \nQ 959 1106 1268 751 \nQ 1578 397 2138 397 \nQ 2388 397 2633 464 \nQ 2878 531 3122 666 \nL 3122 134 \nQ 2881 22 2623 -34 \nQ 2366 -91 2075 -91 \nQ 1284 -91 818 406 \nQ 353 903 353 1747 \nQ 353 2603 823 3093 \nQ 1294 3584 2113 3584 \nQ 2378 3584 2631 3529 \nQ 2884 3475 3122 3366 \nz\n\" id=\"DejaVuSans-63\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 544 1381 \nL 544 3500 \nL 1119 3500 \nL 1119 1403 \nQ 1119 906 1312 657 \nQ 1506 409 1894 409 \nQ 2359 409 2629 706 \nQ 2900 1003 2900 1516 \nL 2900 3500 \nL 3475 3500 \nL 3475 0 \nL 2900 0 \nL 2900 538 \nQ 2691 219 2414 64 \nQ 2138 -91 1772 -91 \nQ 1169 -91 856 284 \nQ 544 659 544 1381 \nz\nM 1991 3584 \nL 1991 3584 \nz\n\" id=\"DejaVuSans-75\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2194 1759 \nQ 1497 1759 1228 1600 \nQ 959 1441 959 1056 \nQ 959 750 1161 570 \nQ 1363 391 1709 391 \nQ 2188 391 2477 730 \nQ 2766 1069 2766 1631 \nL 2766 1759 \nL 2194 1759 \nz\nM 3341 1997 \nL 3341 0 \nL 2766 0 \nL 2766 531 \nQ 2569 213 2275 61 \nQ 1981 -91 1556 -91 \nQ 1019 -91 701 211 \nQ 384 513 384 1019 \nQ 384 1609 779 1909 \nQ 1175 2209 1959 2209 \nL 2766 2209 \nL 2766 2266 \nQ 2766 2663 2505 2880 \nQ 2244 3097 1772 3097 \nQ 1472 3097 1187 3025 \nQ 903 2953 641 2809 \nL 641 3341 \nQ 956 3463 1253 3523 \nQ 1550 3584 1831 3584 \nQ 2591 3584 2966 3190 \nQ 3341 2797 3341 1997 \nz\n\" id=\"DejaVuSans-61\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 2059 -325 \nQ 1816 -950 1584 -1140 \nQ 1353 -1331 966 -1331 \nL 506 -1331 \nL 506 -850 \nL 844 -850 \nQ 1081 -850 1212 -737 \nQ 1344 -625 1503 -206 \nL 1606 56 \nL 191 3500 \nL 800 3500 \nL 1894 763 \nL 2988 3500 \nL 3597 3500 \nL 2059 -325 \nz\n\" id=\"DejaVuSans-79\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-54\"/>\n      <use x=\"44.083984\" xlink:href=\"#DejaVuSans-6f\"/>\n      <use x=\"105.265625\" xlink:href=\"#DejaVuSans-70\"/>\n      <use x=\"168.742188\" xlink:href=\"#DejaVuSans-2d\"/>\n      <use x=\"204.826172\" xlink:href=\"#DejaVuSans-31\"/>\n      <use x=\"268.449219\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"300.236328\" xlink:href=\"#DejaVuSans-25\"/>\n      <use x=\"395.255859\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"427.042969\" xlink:href=\"#DejaVuSans-54\"/>\n      <use x=\"471.126953\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"532.650391\" xlink:href=\"#DejaVuSans-73\"/>\n      <use x=\"584.75\" xlink:href=\"#DejaVuSans-74\"/>\n      <use x=\"623.958984\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"655.746094\" xlink:href=\"#DejaVuSans-41\"/>\n      <use x=\"722.404297\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"777.384766\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"832.365234\" xlink:href=\"#DejaVuSans-75\"/>\n      <use x=\"895.744141\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"936.857422\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"998.136719\" xlink:href=\"#DejaVuSans-63\"/>\n      <use x=\"1053.117188\" xlink:href=\"#DejaVuSans-79\"/>\n     </g>\n    </g>\n   </g>\n   <g id=\"line2d_29\">\n    <path clip-path=\"url(#pce67704def)\" d=\"M 63.552841 161.411798 \nL 108.249811 96.962003 \nL 152.94678 87.395992 \nL 242.34072 90.391409 \nL 331.734659 102.37308 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_30\">\n    <path clip-path=\"url(#pce67704def)\" d=\"M 63.552841 117.253543 \nL 108.249811 90.391409 \nL 152.94678 83.241057 \nL 197.64375 98.12152 \nL 242.34072 139.284357 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_31\">\n    <path clip-path=\"url(#pce67704def)\" d=\"M 63.552841 90.391409 \nL 108.249811 30.676307 \nL 152.94678 64.109034 \nL 197.64375 124.983653 \nL 242.34072 197.839943 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_32\">\n    <path clip-path=\"url(#pce67704def)\" d=\"M 63.552841 90.391409 \nL 108.249811 49.228572 \nL 152.94678 40.822077 \nL 197.64375 63.529276 \nL 242.34072 98.701278 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_33\">\n    <path clip-path=\"url(#pce67704def)\" d=\"M 63.552841 90.391409 \nL 108.249811 65.944935 \nL 152.94678 53.383506 \nL 197.64375 59.9541 \nL 242.34072 93.386827 \n\" style=\"fill:none;stroke:#9467bd;stroke-linecap:square;stroke-width:3;\"/>\n   </g>\n   <g id=\"line2d_34\">\n    <defs>\n     <path d=\"M 0 0 \nL 0 -4 \nM 0 0 \nL -3.2 2 \nM 0 0 \nL 3.2 2 \n\" id=\"m0887f43883\" style=\"stroke:#000000;\"/>\n    </defs>\n    <g clip-path=\"url(#pce67704def)\">\n     <use style=\"stroke:#000000;\" x=\"242.34072\" xlink:href=\"#m0887f43883\" y=\"90.391409\"/>\n    </g>\n   </g>\n   <g id=\"line2d_35\">\n    <g clip-path=\"url(#pce67704def)\">\n     <use style=\"stroke:#000000;\" x=\"108.249811\" xlink:href=\"#m0887f43883\" y=\"90.391409\"/>\n    </g>\n   </g>\n   <g id=\"line2d_36\">\n    <g clip-path=\"url(#pce67704def)\">\n     <use style=\"stroke:#000000;\" x=\"63.552841\" xlink:href=\"#m0887f43883\" y=\"90.391409\"/>\n    </g>\n   </g>\n   <g id=\"line2d_37\">\n    <g clip-path=\"url(#pce67704def)\">\n     <use style=\"stroke:#000000;\" x=\"63.552841\" xlink:href=\"#m0887f43883\" y=\"90.391409\"/>\n    </g>\n   </g>\n   <g id=\"line2d_38\">\n    <g clip-path=\"url(#pce67704def)\">\n     <use style=\"stroke:#000000;\" x=\"63.552841\" xlink:href=\"#m0887f43883\" y=\"90.391409\"/>\n    </g>\n   </g>\n   <g id=\"patch_3\">\n    <path d=\"M 50.14375 206.198125 \nL 50.14375 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_4\">\n    <path d=\"M 345.14375 206.198125 \nL 345.14375 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_5\">\n    <path d=\"M 50.14375 206.198125 \nL 345.14375 206.198125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"patch_6\">\n    <path d=\"M 50.14375 22.318125 \nL 345.14375 22.318125 \n\" style=\"fill:none;stroke:#000000;stroke-linecap:square;stroke-linejoin:miter;stroke-width:0.8;\"/>\n   </g>\n   <g id=\"text_17\">\n    <!-- Accuracy for Varied Convolutional Kernel Size -->\n    <g transform=\"translate(61.156875 16.318125)scale(0.12 -0.12)\">\n     <defs>\n      <path d=\"M 2375 4863 \nL 2375 4384 \nL 1825 4384 \nQ 1516 4384 1395 4259 \nQ 1275 4134 1275 3809 \nL 1275 3500 \nL 2222 3500 \nL 2222 3053 \nL 1275 3053 \nL 1275 0 \nL 697 0 \nL 697 3053 \nL 147 3053 \nL 147 3500 \nL 697 3500 \nL 697 3744 \nQ 697 4328 969 4595 \nQ 1241 4863 1831 4863 \nL 2375 4863 \nz\n\" id=\"DejaVuSans-66\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 1831 0 \nL 50 4666 \nL 709 4666 \nL 2188 738 \nL 3669 4666 \nL 4325 4666 \nL 2547 0 \nL 1831 0 \nz\n\" id=\"DejaVuSans-56\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 2906 2969 \nL 2906 4863 \nL 3481 4863 \nL 3481 0 \nL 2906 0 \nL 2906 525 \nQ 2725 213 2448 61 \nQ 2172 -91 1784 -91 \nQ 1150 -91 751 415 \nQ 353 922 353 1747 \nQ 353 2572 751 3078 \nQ 1150 3584 1784 3584 \nQ 2172 3584 2448 3432 \nQ 2725 3281 2906 2969 \nz\nM 947 1747 \nQ 947 1113 1208 752 \nQ 1469 391 1925 391 \nQ 2381 391 2643 752 \nQ 2906 1113 2906 1747 \nQ 2906 2381 2643 2742 \nQ 2381 3103 1925 3103 \nQ 1469 3103 1208 2742 \nQ 947 2381 947 1747 \nz\n\" id=\"DejaVuSans-64\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 4122 4306 \nL 4122 3641 \nQ 3803 3938 3442 4084 \nQ 3081 4231 2675 4231 \nQ 1875 4231 1450 3742 \nQ 1025 3253 1025 2328 \nQ 1025 1406 1450 917 \nQ 1875 428 2675 428 \nQ 3081 428 3442 575 \nQ 3803 722 4122 1019 \nL 4122 359 \nQ 3791 134 3420 21 \nQ 3050 -91 2638 -91 \nQ 1578 -91 968 557 \nQ 359 1206 359 2328 \nQ 359 3453 968 4101 \nQ 1578 4750 2638 4750 \nQ 3056 4750 3426 4639 \nQ 3797 4528 4122 4306 \nz\n\" id=\"DejaVuSans-43\" transform=\"scale(0.015625)\"/>\n      <path d=\"M 191 3500 \nL 800 3500 \nL 1894 563 \nL 2988 3500 \nL 3597 3500 \nL 2284 0 \nL 1503 0 \nL 191 3500 \nz\n\" id=\"DejaVuSans-76\" transform=\"scale(0.015625)\"/>\n     </defs>\n     <use xlink:href=\"#DejaVuSans-41\"/>\n     <use x=\"66.658203\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"121.638672\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"176.619141\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"239.998047\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"281.111328\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"342.390625\" xlink:href=\"#DejaVuSans-63\"/>\n     <use x=\"397.371094\" xlink:href=\"#DejaVuSans-79\"/>\n     <use x=\"456.550781\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"488.337891\" xlink:href=\"#DejaVuSans-66\"/>\n     <use x=\"523.542969\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"584.724609\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"625.837891\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"657.625\" xlink:href=\"#DejaVuSans-56\"/>\n     <use x=\"718.283203\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"779.5625\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"820.675781\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"848.458984\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"909.982422\" xlink:href=\"#DejaVuSans-64\"/>\n     <use x=\"973.458984\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1005.246094\" xlink:href=\"#DejaVuSans-43\"/>\n     <use x=\"1075.070312\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1136.251953\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1199.630859\" xlink:href=\"#DejaVuSans-76\"/>\n     <use x=\"1258.810547\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1319.992188\" xlink:href=\"#DejaVuSans-6c\"/>\n     <use x=\"1347.775391\" xlink:href=\"#DejaVuSans-75\"/>\n     <use x=\"1411.154297\" xlink:href=\"#DejaVuSans-74\"/>\n     <use x=\"1450.363281\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"1478.146484\" xlink:href=\"#DejaVuSans-6f\"/>\n     <use x=\"1539.328125\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1602.707031\" xlink:href=\"#DejaVuSans-61\"/>\n     <use x=\"1663.986328\" xlink:href=\"#DejaVuSans-6c\"/>\n     <use x=\"1691.769531\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"1723.556641\" xlink:href=\"#DejaVuSans-4b\"/>\n     <use x=\"1784.132812\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"1845.65625\" xlink:href=\"#DejaVuSans-72\"/>\n     <use x=\"1885.019531\" xlink:href=\"#DejaVuSans-6e\"/>\n     <use x=\"1948.398438\" xlink:href=\"#DejaVuSans-65\"/>\n     <use x=\"2009.921875\" xlink:href=\"#DejaVuSans-6c\"/>\n     <use x=\"2037.705078\" xlink:href=\"#DejaVuSans-20\"/>\n     <use x=\"2069.492188\" xlink:href=\"#DejaVuSans-53\"/>\n     <use x=\"2132.96875\" xlink:href=\"#DejaVuSans-69\"/>\n     <use x=\"2160.751953\" xlink:href=\"#DejaVuSans-7a\"/>\n     <use x=\"2213.242188\" xlink:href=\"#DejaVuSans-65\"/>\n    </g>\n   </g>\n   <g id=\"legend_1\">\n    <g id=\"patch_7\">\n     <path d=\"M 267.073438 201.198125 \nL 338.14375 201.198125 \nQ 340.14375 201.198125 340.14375 199.198125 \nL 340.14375 112.129375 \nQ 340.14375 110.129375 338.14375 110.129375 \nL 267.073438 110.129375 \nQ 265.073438 110.129375 265.073438 112.129375 \nL 265.073438 199.198125 \nQ 265.073438 201.198125 267.073438 201.198125 \nz\n\" style=\"fill:#ffffff;opacity:0.8;stroke:#cccccc;stroke-linejoin:miter;\"/>\n    </g>\n    <g id=\"line2d_39\">\n     <path d=\"M 269.073438 118.227812 \nL 289.073438 118.227812 \n\" style=\"fill:none;stroke:#1f77b4;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_40\"/>\n    <g id=\"text_18\">\n     <!-- Layer 1 -->\n     <g transform=\"translate(297.073438 121.727812)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 628 4666 \nL 1259 4666 \nL 1259 531 \nL 3531 531 \nL 3531 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4c\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"55.712891\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"116.992188\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"176.171875\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"237.695312\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"278.808594\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"310.595703\" xlink:href=\"#DejaVuSans-31\"/>\n     </g>\n    </g>\n    <g id=\"line2d_41\">\n     <path d=\"M 269.073438 132.905937 \nL 289.073438 132.905937 \n\" style=\"fill:none;stroke:#ff7f0e;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_42\"/>\n    <g id=\"text_19\">\n     <!-- Layer 2 -->\n     <g transform=\"translate(297.073438 136.405937)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"55.712891\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"116.992188\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"176.171875\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"237.695312\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"278.808594\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"310.595703\" xlink:href=\"#DejaVuSans-32\"/>\n     </g>\n    </g>\n    <g id=\"line2d_43\">\n     <path d=\"M 269.073438 147.584062 \nL 289.073438 147.584062 \n\" style=\"fill:none;stroke:#2ca02c;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_44\"/>\n    <g id=\"text_20\">\n     <!-- Layer 3 -->\n     <g transform=\"translate(297.073438 151.084062)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"55.712891\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"116.992188\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"176.171875\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"237.695312\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"278.808594\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"310.595703\" xlink:href=\"#DejaVuSans-33\"/>\n     </g>\n    </g>\n    <g id=\"line2d_45\">\n     <path d=\"M 269.073438 162.262187 \nL 289.073438 162.262187 \n\" style=\"fill:none;stroke:#d62728;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_46\"/>\n    <g id=\"text_21\">\n     <!-- Layer 4 -->\n     <g transform=\"translate(297.073438 165.762187)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"55.712891\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"116.992188\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"176.171875\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"237.695312\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"278.808594\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"310.595703\" xlink:href=\"#DejaVuSans-34\"/>\n     </g>\n    </g>\n    <g id=\"line2d_47\">\n     <path d=\"M 269.073438 176.940312 \nL 289.073438 176.940312 \n\" style=\"fill:none;stroke:#9467bd;stroke-linecap:square;stroke-width:3;\"/>\n    </g>\n    <g id=\"line2d_48\"/>\n    <g id=\"text_22\">\n     <!-- Layer 5 -->\n     <g transform=\"translate(297.073438 180.440312)scale(0.1 -0.1)\">\n      <use xlink:href=\"#DejaVuSans-4c\"/>\n      <use x=\"55.712891\" xlink:href=\"#DejaVuSans-61\"/>\n      <use x=\"116.992188\" xlink:href=\"#DejaVuSans-79\"/>\n      <use x=\"176.171875\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"237.695312\" xlink:href=\"#DejaVuSans-72\"/>\n      <use x=\"278.808594\" xlink:href=\"#DejaVuSans-20\"/>\n      <use x=\"310.595703\" xlink:href=\"#DejaVuSans-35\"/>\n     </g>\n    </g>\n    <g id=\"line2d_49\"/>\n    <g id=\"line2d_50\">\n     <g>\n      <use style=\"stroke:#000000;\" x=\"279.073438\" xlink:href=\"#m0887f43883\" y=\"191.618437\"/>\n     </g>\n    </g>\n    <g id=\"text_23\">\n     <!-- AlexNet -->\n     <g transform=\"translate(297.073438 195.118437)scale(0.1 -0.1)\">\n      <defs>\n       <path d=\"M 3513 3500 \nL 2247 1797 \nL 3578 0 \nL 2900 0 \nL 1881 1375 \nL 863 0 \nL 184 0 \nL 1544 1831 \nL 300 3500 \nL 978 3500 \nL 1906 2253 \nL 2834 3500 \nL 3513 3500 \nz\n\" id=\"DejaVuSans-78\" transform=\"scale(0.015625)\"/>\n       <path d=\"M 628 4666 \nL 1478 4666 \nL 3547 763 \nL 3547 4666 \nL 4159 4666 \nL 4159 0 \nL 3309 0 \nL 1241 3903 \nL 1241 0 \nL 628 0 \nL 628 4666 \nz\n\" id=\"DejaVuSans-4e\" transform=\"scale(0.015625)\"/>\n      </defs>\n      <use xlink:href=\"#DejaVuSans-41\"/>\n      <use x=\"68.408203\" xlink:href=\"#DejaVuSans-6c\"/>\n      <use x=\"96.191406\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"155.964844\" xlink:href=\"#DejaVuSans-78\"/>\n      <use x=\"215.144531\" xlink:href=\"#DejaVuSans-4e\"/>\n      <use x=\"289.949219\" xlink:href=\"#DejaVuSans-65\"/>\n      <use x=\"351.472656\" xlink:href=\"#DejaVuSans-74\"/>\n     </g>\n    </g>\n   </g>\n  </g>\n </g>\n <defs>\n  <clipPath id=\"pce67704def\">\n   <rect height=\"183.88\" width=\"295\" x=\"50.14375\" y=\"22.318125\"/>\n  </clipPath>\n </defs>\n</svg>\n",
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA9QAAAKoCAYAAACWQ7eKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/Z1A+gAAAACXBIWXMAAB7CAAAewgFu0HU+AAEAAElEQVR4nOzdd3QU1dvA8e9NTwhJSKOH0JuAKF0E7BXLT8WGiopdrGBFxYoIduzYK8WKr71QpCNNSugQenrv2fv+MRsyCUl2drO7ac/nnD3Zcu+du7uzk3nmNqW1RgghhBBCCCGEEM7xqesKCCGEEEIIIYQQDZEE1EIIIYQQQgghhAskoBZCCCGEEEIIIVwgAbUQQgghhBBCCOECCaiFEEIIIYQQQggXSEAthBBCCCGEEEK4QAJqIYQQQgghhBDCBRJQCyGEEEIIIYQQLpCAWgghhBBCCCGEcIEE1EIIIYQQQgghhAskoBZCCCGEEEIIIVwgAbUQQgghhBBCCOECCaiFEEIIIYQQQggXSEAthBBCCCGEEEK4QAJqIYQQQgghhBDCBRJQCyGEEEIIIYQQLpCAWgghhBBCCCGEcIEE1EIIIYQQQgghhAskoBZCCCGEEEIIIVwgAbUQQriBUipKKfWEUmqFUipdKVWqlNL227i6rp84llJqj+k7iq/r+lTHVEdd13URnqeUijd953vquj6OKKUWmOo7qq7rU58opaaYPpspdV0f4bqG8ruU/xd1QwJq0agopT4zH0yUUg/WdZ1E46eU6gSsB6YAg4AIGvDxVSnlp5Q6bPodPVWLsu4wlZOjlAp1Z12Feyiluiul7lVK/Z9SKkEplaqUKrL/TVBKfaWUuksp1bqu6ypEU1UpQF9gMU+EUmqZKV+pUuomD1dVOEEp1VwpdbNSap5SaodSKlMpVaKUyrZf+P1bKfWaUmqsHIPrJ7+6roAQ7qKUag5cXOnp64BpdVAd0bS8A7S1388H/gAOAKX257bURaVcpbUuUUp9Dtxnf2qsUuoJrbUrV7yvM92fp7XOqX0NhbsopXoCTwP/A1QVSSLtt+7A5cBLSqkfgEe01gleq6jwCnuQNtL+8BSt9YK6q42oLaVUFPAbcIL9qVLgeq31p3VXK2GmlLoBeBHjQnxlofZbB2CUKc8krfUMb9RPWCMBtWhMLgNCKj3XUyk1UGu9qi4qJBo/+9Xi0+0PC4F+WuvtdVgld/mY8oC6I3AysMiZApRSPYCBlcoU9YRS6grgQyDI9HQp8C+QCKQBLTAuFg0AAgBfjAuXo5VSHbTWB71aaSGEJUqplhgXd4+zP1UMXK21nlt3tRJm9mEAT1R6+j9gM5CBcU7bGugPRJnSRHi+dsIZElCLxsTcEpYPBJuel4BaeEp/0/3FjSSYRmu9QSm1Djje/tQ1OBlQA9ea7u8FFtS6Ym6ktY6v6zrUFaXUbcCbpqdSgWeBj7TW6VWkbw6cCzwK9ME4fwjwQlVFPae1HlXXdRAVKaXaAH9h9CwB42LvGK31D3VXK2GmlBpBxWD6R+BerfWOatL3x+hJdENN5Wqtq+ppJDyswY7xE8JMKVXWggaggYmml69USsmJn/CUFqb7h+qsFp5hblG+TCkVVG3KSpRSCrja9NSnLnYZF26mlBoCvGp6ah1wnNb65aqCaQCtdbbWejbGBZZbgAJP11MI4TylVBzGxc+yYDofuFCC6XrHPMfP7xjfUZXBNIDWeq3W+jGM7t/vebpywjkSUIvG4lrKx/8tBN4Fku2PI4Hz66JSoknwN9231VktPOMLoMR+Pxy40Im8pwBxpsefuKtSwnVKKR+MCyVl++0B4FSt9WEr+bXWNq31u8BJQLZnaimEcIVSqjOwGOhsfyoHOFdr/Wvd1UpUZj8On2Z66kWttaXzB611idZ6r2dqJlwlAbVo8OwtYeaupZ9qrUuAr0zPXYeTlFK+SqkxSqlPlFJb7UshFdtnvV2hlHpVKXWaffuOyuqrlHrenu+wffbcHHu5s5VSNyqlwqvI5/QyDcrCUkBVpVFKdVZKPauUWquUSlZK2exdfivn7WmfDfgbe/2z7Z9LslJqtVLqZaVULyt1rVSu05+3Uqq/6X2kW21Btc+omWPK29fJuo5S5ctSfGh66TpVcZZ5rZT6qJoylFLqMqXUl0qpnfb65Njvf6GUutTivnXMkjVKqdZKqUeUUivt+1upUirDmfcIoLVOAn42PXWNE9nNv8mllbvCu3M/cvUzsPJbqZTeXyl1jVJqjlJql73OuUqp3fbv8WIr35mpvHCl1MNKqVX2/bfsmPCeUupEq+U46X9AN9Pj26prla6J1nqN1jq1pjRKqbOUUh8opbYppbKUUvlKqb1KqW+VUuOUUv415beX8ZHpOxpnfy5EKXW7UuofpdQRpVShUmqf/Ts4qYay/mcqa6vV96qUaqfKl8ErUUq1qiFtB6XUU0qp5fa6Fdn/LldKPamUam91uw7q5Nb/Dabj2UjT039XcTw7ZhnAqn5/DuoRrZR6SCm1UCl1yP79pSjjf890K7/76t6/UmqAUmqWfZ/Ls/+uVtqPBc0clWsvo4NS6jb7/rRRGTMul/0v+k8p9ZYyennUK0qp7hgt02UXMrOAs5yZWE4Z/2PfVkptUkql2b+bg0qpX5VSdyqlgi2UccyyTUqpfsr4H77RXq5WSn1ner2qc5J2SqmnlVLrlVIZyjjWJiilXldKdbD6nuxlufXY7QbRQKDpsdsC5Ko+f9Nr5t+Ns7d4B9ut9b7ToGmt5Sa3Bn3D6Oqt7bd8IMz+/EDT80VAjJNlbjXlr+n2fA3lRGAE9jYL5RyuIn+86fU9Fuu+x5Qn3koa4Gb7Z1e5Tusq5Ztj8TOxAS8Dvp7+vIHVpteutri98aY8K13Y50ZZrKvGGJNaOX9XYI2FvKuBTg7qssCUfhRGK3JaFWVluPj7usRURjEQayFPCEbrZVm+mz25H7n6GWDht1LpO99hoc7LgLYWPqPhGK3D1ZVTCjxuT3v0eVe+w0rb/dNU3lZA1bbMKrYRizEZkqPPahswwEFZH5nSjwN6YUzYU1O5T1ZTViCQbko30OL7ecCU59ca0j1K1cdR8y0feNDB9uJN6fe4mqaKPNXu7xa+K/NtXE2/Pwd1uAFjsqWayi/Bwe++8vvH6KH2pP13U125u3B8PJ2Otf/XGvgSCHFQ3hRT+ilu+G2Zy1tgev444LDptVQc/LYqldse+NvCez4AnOygrArHK3udS6oo67vq9k3gIgf7SR5wnsX3Ngo3HLsr73O1/B6jK237nNruG9V9/jW8B2dv8dVsz237TkO+yaRkojG4znT/e611FoDWepVSKgHogdG98SoqjhuskjJmvv2Eil15twFrgUwgDOhtv/lQcYZcczmVJwUB4x/EEoyxtv4YV5JPtJdpeXyqm10GvGC/fxCjfplAG4zu8mZlV75LME5qt2O8p1KMk+iBGDMCK+AejBPY22vauBs+73cxlq0CuBH4vKbtmdKVmWUhfWUHgDfs93tQ3nUrASNgMVtufqCMZYoWAjGmp//DGMeqMSY562N//kRgqVJqhNZ6m4V6DcM4efHHOKFaBKRgfDf9q89Wo/kYwWkkxkRUVwGvOMjzP4ylPsAYazun0utu349M3P4ZKKUuw9ivyvbRfIzvdQ/GyXc3YCjG5zMEWKaM1QWOVFPeiRgt/+Y1uVdj7AcB9jI6A08qpdJdqXM12w3E+HzKfFV2xuvGbbTEOIZ0Nj29E1iBMTFSL2Cw/fmuGK2gZ2utl1govg1GoN4aY39ZjBFERAOnYgxLAHhcKbVZG2O+j9JaFyql5gJla/BejbUJKyvMBVBVAqXUTOAO01M5GCeZh4FWGEMgQjGOX88rpVppre+1sG1vKTueXYzxOQN8h3Gsq8ylZQCVUhMxAtYyhRjHwkSMuShOwTjO+GL87uOUUpda3EefAB6331+H8VsqxhjzX7ZkVEfgO6XUCdroxVaV9hjHHY1xwWkrxnGkGGOW5f6U79tXAGFKqfPd/TtyhjImq/qd8lmgk4HTtdYbLObvifF/q2x9Y41xwXczxrGuLTACaI6xb/yulDpHa/23hbInUT7x1k5gJUYwHI/xmVbldOBtjP0gESPQzcL4/kZhHGeDgTlKqeO01rtr2L5bj91ulIZxDIuwP56klPpVW+z2XQtZlP/WHelL+dxEYOwXFXhy32lw6jqil5vcanPDOKhmUn4F7LxKrz9iem2NhfL6U7GFYQ0wuJq0rTAmP3ugitf8gH9M5eRhnGz5V5E2ABgNfFvFa/GmMvZY/Ez24PiKojlNMcaJzU1Uaq0CAis9nooRgIdVU66yv5ckU/nDPfl5Y5yklrWG2nDcAtHLtL0coHkt98FxpvI+cpA2gPLAWQNHME58Kqc7E+OkqCzdv1XtO/a0Cyp9lzZgcuX0lb9LJ9/jG+a6WEj/myn9V1W87u79yKXPwOJvpTfG77ds/5oORFSRrhNGgFdW3k817APmFtZEYGgV6a7FuBhRaEqra7mvDjeXhTG20uXyqtnGT5V+X1dUkWYAxsm1+TM45jO1p/3IlK7A/vd5KrUMYgRi5tb3nVTR+o5xcleW5jCOez8cV+n9NKsizZhKn+uHlfdtjAuDn1ZK979qthlvSrPH1TRV5LGyv5t/S6MsluswD8aFHHMr5U9Ay8q/T4yLu+bP6D4L778Q47e5AxhURdrLMHqplaW/tob3MgnjmB5dQ5qTMS4ClpU3toa0U0zpprjh92UubwHGxal003MHgZ5OlNeMisejn4DOVaQLw1gVwLyd8GrKNH9/xRiB40VVpAs03TfvmwUYv7WxHHtO0hvYb0r7QQ3vzd3HbvM+Z+k35+Cz/7jSZ7UEo3dVUC3LrfX/C4wLS4dMZX3hjX2nId/qvAJyk1ttbhitZWU/0iTAr9LrHajYfauPg/LMQfAqINTFepm7FBfhYjcXVw7gOB9Qayx2lXai3oNNZc/2wuf9rqmcZxykfdHKP2Mntj3OVN5HDtJeX2m/6F9D2oEYJyM1ngRS8WRWA4+687u0b2NQpW30riFtGyp2u3S5K5sT+5FLn4HF34o5SLvXQXnNgE2m9MdcHMK4cFX2ej7Qo4byrq70vnQtv8exlcrr4Ob95JRK5VfbJRPj2JZhSvt4Nek+qlTmczWU2RLjRLymz19V+t7PcvCenjel/bSK130wuhKXpZlDNd3o7dv+zpR2B+BTzWdT43HfShoX93fzb2mUxXId5sFoiS5LswQIqKG8V01pM6nioifHdl1NAdrUUOZ0U9qf3bCvx1N+MXhFDemmmLY7xQ3bNZe3D6PFsexxItDFyfIeM+X/pqr9sVJ68++xyqELlb6XUmCEk/umDTi7hrTnmdJmU+m8z5TO3cdup39zDrbZiYoXQ8pueRgB/ksY57gdnCy3Vv8v7J/FWlM5y6kiyPfEvtOQb3VeAbnJrTY34FfTD/TVatIsMKWZUUNZ5pN3G9CrFvXaYiqr2jHWFspx+gCO8wF1tScDtfxuyq5cpnjh8zaPl99PNa1OGN2+zK2ew9zwPseZyvvIQdrljvbXSunNV3WXVZPGvH8foJqTCze8T/M+Pa2GdObxpoeq+y7ctR/V5jNw9FsB+pleX4OF8cYY3UDL8rxWxesrTK+/YKG8Jab0upaf5V3msnBzKwHGfBFlZX9vIb15XzlY1edLxZOwJBy03gCzTeknVJPmWVOaY4JkUzqFEaSUpT0m+AbONr1eCLRyUL+2VGwtrarMeNPre6opx2EaZ/d3exrzb2mUxXJrzAP0rLTfVXsh0Z6+GRV76Nzi4P1rqmnJrqYO1R5LnNzfy3pj2Ki+t80U03anuGGbUyq977JbAVW0Djooyx+jl1RZfivzY7ShvJFiQzVpzPWq9kJoDfvmDw7SKiq2nh7TUIJnjt1O/+YsbHMwxoWRqr5T820XxnGr2otGVX3+LtRHYQTHZWUkUsUxzVP7TkO+ySzfosFSSrXFGGtTpsqxbVRcrudqpZRvNenONt3/U2u92cV6dcAYV1tmpivleNFXjpMcSynVTSl1lVLqMaXUDPvMmzPLbpSPZ4xSVc9s65bPG0BrvQqjKzUYJ6xnVZP0AsrHLm/WWi91dZvOUko1x+jqWuYDC9nM47sHKsez1M7T1Y8NrC3zmtRXK2PZj6qYZwL/TGtdWlOhbtiPKnPnZ3Cu6f6X2n5W4MBfpvvDzS9UsQ9YWUrsY8dJLGte6XGOG8sGo4W6jJX9+0PKl5prTcX5JqoyX2vtaP3rtab78dWk+cx0/yKlVEg16UZgdH0Eo3v4H1WkOdV0/yftYPkxrfUB4BfTU6dUl7YRMb/HdVrrtdWmBLTWuRgTflWVvzpzHbyegNGiDMaxpPJv4RhKqThlrLbwiFLqhSqOTR3LkmIEcHUpEHiihuNyVQZgzC0Bxv/gJEcZtNYHMT5LgONUFauTVOLK+UWN36X9OLze9FR8Fcnceuz2FK31CoyLPQ9jDFOpTkeMIYzblVJ3ebBKz2LMowCQC1xQzTHNG/tOgyKTkomGbCzlS78laK1XV5NuHsYY0CCMcbhnYVxZrsy8DMbftaiXuZztWuv9tSjLG/51JrFS6jzgaZyb4Cka4yqsmbs+7zLvYrTogjHpWFXfsXkysvfdsE1n9MWYZAWMQMbKhDHrMP6pNbPn7QfUdBHAqe/SSZ9h/LP1wbhocSqVAgyl1AkYY07LVBsMunE/qsydn8FQ0/1TLC7VYl56pfIFgL6UH7OyMboYOrLMQhqrKq8bHYrRpbbW7Bc4Y01PObxYpbVOVkpto/wC5AmUn3BV5T8LVTEv5RVWzXa3KKXW2LcXijGj8BdVJB1ruv9lNReHzPuv1Qt0SzDmCIDyCbMaM1c/own2+44+o0ytdY3HBa21tk/wV7Z0TxjVrKOulBqK0dX/ZCr+nmsSbTGdOy3FmNzqfPvja4BCpdTNFgNI8/Gtnf0igRUR9r8KaEfNxxBXjsfu+J27+9jtMVrrHIz97XmlVB+MpesGY/xuelJxieMQ4FWlVJTW+gl31kMpNRYjsAejFXms1npdNcm9se80KBJQi4bsOtP96lqn0VpnKaW+By435asq2Gppur+rFvVyVznekmw1oVJqCuUzdjqjqtYAd39On2OMk2sGjFZKxWitj743pVQ7yluui7DWOuhO5lm991k54dFa25RS+ygPOBydtFn+Lp2ltd6vlPoTOMP+1LUc22Jn/k2u0VpvrKosN+9HlbnzM2hjun+OC/lbVHrs9D6A0eXOXdIqPY7AfSc05veWb/7tObAH6/u3lbqaZw6uaZ3rzygP1K6mUkBtnxH90krpq2J+31bXkt1jul8XgZi3efozsroPO9w3lFI3YPQMcnZNYivHJncrxthHv6f8f9t4jKEHd1rIbz6+9bXfnFX5GFeZK8djd/zO3X3s9gqt9X8YFxRmAiilWmCMGb+bir2bHlNKza+hIckpylhX3dwj7hGt9Xc1ZPHGvtOgSJdv0SAppQZiXLkD40qao6WSzAH3BUqpiCrSmP8h1qYrpLvK8ZZ8x0lAKXUGFYOgZRjrV/fHOOEJ0lqrshvGJDRlqjrWuPVz0sZyaWXL5PhjBHxm40z1+F5rnVLbbTrJvERSrhP5zGkdnbRZ+i5rwdzi/D9zF3SllB9wZTVpMaVz935UmTs/g9p2Sas8vMS8D+RZLMOZfcWRPZUe93Jj2d7Yv61cgLDqS4wJkwDOVErFVHr9PMpbUzZrrddUU44r79uZ99wYePozcst+oZTqhbEEY1kwvQkjkBmEcQE4uNKxyXyMq5Pzaa11IUYXXXMvrzuUUi9ayO6OLrc1NsxprV05Hrvj+3T3sbtOaK3TtdafYbRYzzC9pCjvwVErSqk4jMkSA+1PfaK1ft5BNo/vOw2NBNSioTK3hClgj1JKV3cDfjSlD6K8tdrM3P0rtIrXrXJXOa7y1O96kun+B8BJWuv3tNbrtNap9n/sZo5OgjzxOb1nun+0e7dSSmHMsF3GlbWna8t80cDRWGgzc9oquyh60bemOjTDWG+6zDmUt0QVU3UXWnD/fuRJ5pP6/5lPpq3eKpVn3geqG7dbmTP7iiOrMFqvygyuLqELGtT+bR8XWNbDwo9j/yeY156urnUaXHvfdfWbrqtzvobyGd1D+Un+r8AJWuvXtNartNZJVYzfrxcXQ+xB62iMbvJl7lNKPesgq/n49porxzet9QJ3vx83cfexu05pY33qB6k4JObkapJbZr8o/gPlPQaXYFzgdqQx7zsukYBaNDhKqQAqtoS54roqnjtiut+xitetclc5ULFbk9WreW6f6ME+kdtI+0Mb8LCF7qpxDl535+cEgNZ6OeVjk3vax8KBMalNJ/v9vVQ9uZCnmbu+tbMH+TWyTzBjHsvl7Vb1CrTWeVScMObaau7/VFUPAA/tR55k3kdbuaE8p/cB3DiWz36xwjyG9Qp3lU3F9xaslLLalTnedN/b+7c5UD46Xtreg+k8+0NHPaDM79vqvhpvuu/qe64X/xssqqvPyFmnme5P1loXOUhvZVyuV2hjIrdzgJWmpx9RSj1eQzZ3H9/qk0b33uxB9W+mp1rXpjz7/5/PKJ9Qby/GxYfKF7Wr0ug+39qSgFo0ROcDkfb7JRjL0Fi5rTKVMVQp1a1SuctN90/FdeZyutnH7roqy3S/haMTcHvXnSon4qmlaCDAfj/J0YyO9q5zjk6o3fV5V1ZVK7V5MrIP7f+YvG0D5V1MmwN9LOTpR3lLTSkVZzatK+ZujqcqpdraA5DR1aQx88R+5EkrTPdPckN5Gyif1ToMa12uhzpO4pS3TPe7K6XOrzalE7Qxe7X5+xzmKI896DYfh6vrVu0p31Le0jJYKdXZfv9Syrs/LtJa1zSO3TxjtcP3XEU6V9+zp/43uLNbfZm6+oycZR4XWuPEWPYZil0ZN+oxWutsjLHU5s/7SaXUpGqymI9vwyxe4Gso3H3sri/MvSSsBL41eQ5jQkYweoGMdvQ/2aQx7zsukYBaNETm1uWftdZDLN4GAeZJkiqPsf3ZdP80pVRPXKC13ouxZm+ZO1wpx15WNuUTCYVQ8eSzKmNc3ZYD5gA0uNpU5W6zkMYtn3cVPqN8HO3l9gsaZV2TbVhbzsft7N+leQKRcRaymS8ErLS3QtS1xcBu+30fjK6xl1MegKQC/1dNXk/sR55kHiryP6VUy2pTWlDFPnBNdWlNKh+nautrYLvp8VvVzClRI6XUCUqpqEpPm8dxjrNQzDjKz0MOAludrUdt2H9P35meGlvpL9Tc3RsqLrVzrlIqttqUgFKqDRUnSfqrurQ18eD/BvMJe02TujnD/B77K6VqDETty5iZe0+49Bm5wHx8cjQkYzzu+3zcRmudgTFxpPmCwAvVLLW0BMiw329HxYuiDZ1bj931iHl5NpcnrFRKXQM8ZH9oA67UxoRoVjXmfcclElCLBsU+cYz5ZMTRyU5l5vTXmK+qaa1XUj4GSQGfKKVcHdv7kun+/Uqp2ox1MV8JHFddInvg+HB1r9dSKuUzb4YrpUZWl1ApdRIWAiE3f97mcjOAOfaHoRjLpgXZH/+mHSyv4mHvmO7fUdOJpVLqROAW01Nve6xWTrB30TbPkH4NFYO+L2voKun2/ciT7PvoAvvDYOBT+5ATh5RSAfYZWiszj9+/q4qeMuYyrsDN66Hae2eMw+jdA8bJ0J+OAkFTnZRS6iaM327lMaTm/ftipVR168FjX8bmUXNeC93/PcE8YeXVyljrfIT9cQGO1zf+jfILTIHAK9UltP+/eZ3yQGwntRt+4on/DebliNq6UKdjaK0TgEWmp2YqpWoKRp+hfAm2LKqfj8HdzKtNXFBdIqVUV1xbpcArtNapwOlUHG/7qlLqlkrpCqm4v76pjOXvLKnPQaqHjt1uY9/GTCc/75GUr7IBFdezd2bbw6jYk+8BrXV1F8Gr1Jj3HZdpreUmtwZzw5hxU9tvWRizbjqTPw7jalxZGadWev0EjJOostfXAIOrKasVMBGYVMVrfhgnnGXl5AK3A/5VpA3AuLr3bTXbGWsqpxC4pIo0QzBOzmz2NGXp46spc4+jNFXk+cKUZzcwqIo0YzACJo0xEU1Z+lHVlOmWz7uKtCeZyjTfjvns3LBPjjOV/5GDtAEYa0uXpT8EnFJFutMxus+Wpfu3qn3HnnaBo8/ZA++5U6Xfkfk2oA72I5c+Ayu/A4x1tbNN6ZZXt4/a03cDHsNocT2/itcDMU50y8rbW1V5GC3/+ZV+z9qN3+Gdlb63JIzja0Q16UMxeiKsr+kzw1iSsOz1bOCyKtKciNFKXpYusYbtfmRKN87C+7L8e7Sn97X/DsvyzDPdn2vxsxxT6bN8DwitlKZ5pfeiMcYrVlVevCnNnhq264n/DQ+Z0vwIKAvv3+HvD6MLd4kp3Q9AbKU0AcDUSp/RfbX5jCrl2eNg333O9HoqcFYVaU4DDnDssanKfROYYkozxQ2/W3N5CxykbVPpd2arXE+M3/VGU5pDwGWATzVlRmNMWrUGmFFNGqePV46+myrSm39L1X327j52O73P1bCtIHs5BRhzNJwFBNaQ9pZK7yUHaOfs549xDnzElOb9WrwHt+87DfnWqKYsF03Cdab732gnl2TQWicqpRZT3gJxHabuZFrrNUqpGzEO1n4YS/ksV0ptxRiXlIkxsUsvjIO1D/BqFdspUUpdbi+7K0b3sTeAZ5VSSzAOPH4Yk5qciDG2rbq1F7/CCCT7YZxwzFNKrcEIzHwxxnH1t6edgjGbdQfrn4plz2CMtwnG+MeyXCm1DNhmr9dQyicXew/jn9PImgp01+ddRblLlFKbgN6mp5MwTuLqjNa6SCl1JcZSUDEYFwn+Ukqtx/g+AY6nYreuJIzuWOZJiOqU1nqXUuofjp1ldLN2vC6m2/cjT9Jab7R/Z7MxfseDMeq8E+PEIA3jhCcW47dY41V6rXWhvbvd3xjj4+Ps5a3EODkJwAiCutiz3AW85oH3NVMplQ68jxHkx2C0OLyolFqNEeSmYywd1RYYSPn4dzDWcq9qDN/1GBcTO2OccM1RSm3HaE0twvgtD6Z8aaJcjP07w33vzjqtdalS6iuMGZ4BLjG9/OmxOaosY45SagTlw3vGYww3+Rvj5DUWIxAz98B5RWv9TW3qjmf+N3yDEVgqjInZNiilllJxpu2vLPzOK9BaL1VKPQRMtz81Gki0f0b7MNakPQUwDyP4FnjZme3U0isY310Mxjwtv9g/z80YAcMJlP9P+RXj2Gxl2Ead0FofVEqdhvH/Jh7jO31fKVWotf7SniZHKXUBRk+Jjhj/k+YAKUqp5cBhe75IjN9uV8p7t3qrK75L3H3s9pBA4Cr7rUgptRbjIms6xm+6A8ax19wbqAS4QWu934XtXU95749SoEQpNdNi3se11mXDTBr1vuOSuo7o5SY3qzeMSZzMV65Pd7Gcm6h4lS+0ijSnYnT/0hZuz9SwrUiMExQr5eyvoZyOGK0M1eW1YQQqCmutbg7TVJPvQowT4JrexzsY/yQWmJ4b5aBct3zelcq8u1K+6R7aL8eZtvGRxTzdMP6hO3qv/wKdHZRl+XN28/u+sYr6PlAX+5Grn4EzvwOMoGW1xX1UY7S+H19DeSOo2DJa+VaKvUXL/LwHvsfeWD9GaYyg+HOgUw1ltgT+tFDWdmCgg/p9ZEo/zkO/xxOrqFsK1fQKqaGcyVTscVPVLR9jdvuayok3pd/jIK1b/zfYy3yuhvKO+R5w7lh/I+W9T6q7lWAEt77u+Iyc+b1jXNBLdlC/bzEu9DrcN6nDFupK+8g+U75iKvWOwDhXmUP1PY8q39KB66rZntPHK6v7pim9w8/elLYfbjh2u7LP1VAnP4zeMDlO1EtjzM/j6DdW7edfaf9x9lbdb8Zt+05DvkkLtWhIrjPdP4TrV7jmYYxjC8RoIboU4+B8lNb6L6VUd4yJUc4HBmBc1QvEOBnYASzD6Ka9uLoNaeNq3v+UUgMxrkCOwhiz2ALjxGo/RmvCL/Z6VVfObvt42wkYE2x1s9flIMYkUW9prVcAeHKyRa3190qp44D7gDMxWtdK7PVYgnECu8jZerjr867kGyqO8amLtaerpLXeppQagLHvXQIMovyqcRJGa9484Gtt/49VD83FaDktm7zHhsU5DTy1H3mS1no9MEApdSZGC/tJGF0qIzBaapMxJtVagdF6taym705rvcg+Ed8dGL/pzhhjaw9ijDd9RxvjAD1Ka70J4xjVA6NF8nR7XaIxWkWyMFpZ12Ica+ZqY4xmTWUewZho8GyMbuLDMVov/DH277UYk4F9putBzwut9b9KqS2AeWLEOc7WTWv9jFLqU4xWzrMwApkIjMl7dmHsF7N0zbOGO8UT/xu01o/Ye6Bcj3GxoSXW1013VPb7SqnvMS5sn2OvbyRGC/g+jNauD7TWm92xPRfqt0wp1Rujx8JoypdbPIRxgfMzrfV8qD/HJkfs+8ipGC3VrTGCua+UUv/TWv9oT5MGjLEfl6/EOFfpiNFjwIaxD+/AuBD8B/C7PnZd7nrJ3cduN9WpBLhUKRWMcXw8GaM3SVeMY2WovW5ZGBfM1gLfA3/pulmlpFqNed9xhqq/52pCCOE6pdR1lF8o+UdrXZuJ4YQQQgghhDiGzPIthGiszEtOvVdtKiGEEEIIIVwkLdRCiEZHKdUfo3sRGBOPtG2MXYyEEEIIIUTdkhZqIUSjopQKwhgjX+ZtCaaFEEIIIYQnSAu1EKLBU0rdibHMUATG8jTt7C+lAN21aakHIYQQQggh3EVm+RZCNAaXcuxaxaXAjRJMCyGEEEIIT5Eu30KIxiYd+D9gpNb6h7qujBBCCCGEaLyky7cQQgghhBBCCOECaaEWQgghhBBCCCFcIAG1EEIIIYQQQgjhAgmohRBCCCGEEEIIF0hALYQQQgghhBBCuEACaiGEEEIIIYQQwgUSUAshhBBCCCGEEC6QgFoIIYQQQgghhHCBX11XQDQcSqlAoI/9YTJQWofVEUIIIYQQQgirfIEY+/3/tNaF7ihUAmrhjD7AqrquhBBCCCGEEELUwkBgtTsKki7fQgghhBBCCCGEC6SFWjgjuezOypUrad26dV3WpUnLz89n0aJFAIwYMYLg4OA6rpHwJPm+mxb5vpsW+b6bHvnOmxb5vuuPQ4cOMWjQoLKHyTWldYYE1MIZR8dMt27dmnbt2tVlXZq0/Px8oqOjAWjXrp0cnBs5+b6bFvm+mxb5vpse+c6bFvm+6y23zQUlXb6FEEIIIYQQQggXSEAthBBCCCGEEEK4QAJqIYQQQgghhBDCBRJQCyGEEEIIIYQQLpCAWgghhBBCCCGEcIEE1EIIIYQQQgghhAskoBZCCCGEEEIIIVwgAbUQQgghhBBCCOECCaiFEEIIIYQQQggXSEAthBBCCCGEEEK4QAJqIYQQQgghhBDCBRJQCyGEEEIIIYQQLpCAWgghhBBCCCGEcIEE1EIIIYQQQgghhAskoBZCCCGEEEIIIVzgV9cVEEIIq4ptxSSkJhDgG0DH8I4E+AbUdZWEEEIIIUQTJgG1EKJBmLdtHq+teY30wnQAWoa05NZ+t3JJ10tQStVx7YQQQgghRFMkXb6FEPXep5s/5cllTx4NpgGO5B3hyWVPct+C+8gqyqrD2gkhhBBCiKZKAmohRL22NmktL65+sdrX/0j8gzHzx7ApZZMXayWEEEIIIYQE1EKIeiyjIINJCydRqktrTHcg5wBjfx7L51s+R2vtpdoJIYQQQoimTgJqIUS9ZNM2Hl3yKEfyjlhKX2Ir4fmVz3PvgnvJLMz0cO2EEEIIIYSQgFoIUU99vOljFu1f5HS+PxP/5PIfL+e/5P88UCshhBBCCCHKSUAthKh31iWt49U1r7qc/0DOAa795Vo+3fypdAEXQgghhBAeIwG1EKJeySjIYNIix+OmHSmxlfDCqhe4+++7pQu4EEIIIYTwCAmohRD1htaayUsmczj3sNvK/Hvf34yZP4YNyRvcVqYQQgghhBAgAbUQoh75ZPMnLNy/0GG6sIAwfJT1w9fB3INc9/N1fLzpY+kCLoQQQggh3KbJBtRKKW3xtsBCWecopb5VSu1XShXa/36rlDrHzXUOUUo9oJRapZRKU0rlKqUSlFIvKqU6uHNbQnjbuqR1vPLvKw7T+SpfZp42k/fOeI/o4GjL5ZfoEmasnsFdf90lXcCFEEIIIYRbNNmA2h2UUj5KqVnAT8BFQFsgwP73IuAnpdR7SjnRlFb9troA64BpwACgBRACdAfuAzYopc6v7XaEqAuZhZk8sOgBSnSJw7QT+k+gf2x/BrUexNzRcxnaeqhT21qwfwGXzb+MdUnrXKytEEIIIYQQBgmo4S2gTw2362vI+yxwo/3+WuBKYJD971r78+OBZ2pTQaVUc+D/gK72p94DTgOGAY8COUAYMFspdXxttiWEt2mtmfzPZA7lHnKYdnjb4Vx/XPlPMjo4mrfPeJsJ/Sc41QX8UO4hrv/lej7c+CE2bXOp3kIIIYQQQvjVdQXqgSSt9UZnMymlugET7Q9XAyO01vn2x6uUUj8ACzFakycppT7QWu9wsY6TgG72+w9oraebXltm75a+EKPF+hVglIvbEcLrPtn8CQv2L3CYLjYklueGP3dM4OyjfLi57830j+3Pg4seJDk/2dJ2S3QJL/37EquPrObZk54lIijChdoLIYQQQoimTFqoXXcP5RckJpiCaQC01nnABPtDP+BeVzailPIH7rI/3AK8WDmN1nop8L794Uil1EBXtiWEt21I3mB53PT0EdNpEdSi2jQDWw1k7ui5DGszzKk6LNq/iEvnXypdwIUQQgghhNMkoHaBUkoBF9ofJmitl1eVzv78VvvDC+35nHUKEG6//7HW1fZP/ch0/2IXtiOEV2UWZjJp4SRL46bv7H8nJ7Q8wWG6qOAo3jr9Le7qf5dTXcCP5B1h3C/j+GDjB9IFXAghhBBCWCYBtWs6Am3s9x2t8VP2elsg3oVtDa+irKqsBvLs909yYTtCeE3ZetMHcw86THtS25O44bgbLJfto3y4qe9NfHDWB8SGxFrOV6pLefnfl7njzztIL0i3nE8IIYQQQjRdElDDZUqpzUqpPKVUtlJqu1LqY6XUKTXk6WW6n+CgfPPrPV2on6Vtaa1LgLIx2q5sRwiv+WzLZyzYt8BhutjgqsdNW3FiyxOZO3ouJ7V17vrSPwf+4dL5l7LmyBqntymEEEIIIZoWmZSsYsAK0MV+u1Yp9R0wTmtdedHadqb7+x2Uv890v70L9SvbVq7WOsPCtvoCMUqpQK11oTMbUkq1c5CkVdmd/Px88vPza0orPKigoKDK+w3BptRNvPTvSw7T+Sgfnh7yNME62OV9LZhgXhz2Ip8mfMrbG9+mVJdaypeUl8QNv97ArcfdyjU9rnEpoHenhvx9C+fJ9920yPfd9Mh33rTI911/eCp2UVprjxRc3ymlcoEfgD8xWn5zgBhgJHArEGVPuhA4Q2tdbMo7CXjB/vAcrfUvNWznHIx1qgEmaq2PmVTMQT03YQT9R7TWrRyknQ2MsT+M1lqnOrktyzvDrFmziI6OdqZ4Ici35fNG9htkOLw2BKcHnc6ooFFu2/aekj3MyZ1Dls5yKl9Xv65cGnIpzXyaua0uQgghhBDCu1JSUhg/fnzZw/Zaa0cNo5Y05S7fbbXWV2qtZ2mt/9Far9Na/661ngz0pnwd6ZHAbZXyBpnuFznYjrmVONiFepZty9F23LEtITxGa803+d9YCqa7+HVhROAIt24/3i+eO5rfQTe/bo4Tm2wv2c7M7JnsLtnt1voIIYQQQoiGr8l2+a6p+7TW+ohS6lKMlmt/jOWvXjMlMffXCHCwqUDTfVf6GZRty9F23LEtR13SWwGrAEaMGEG7do56iAtPKSgoYNGiRYDxXQQFBTnIUfe+2vYVW9ZtcZguJjiGmWfMJDIo0iP1uFBfyOdbP+fN/9603AU8W2fzYe6H3Nz7Zsb1HOf1LuAN8fsWrpPvu2mR77vpke+8aZHvu/7Yv98tDdLHaLIBtSNa611Kqd+Bc4EuSqk2WuuyKYmzTUlDHRRl7iea40JVyrblaDu13pajbg/mVb+Cg4MJDpZG8PogKCio3n8XG1M28tqG1xym81E+vDDiBdq2aOvR+tzc/2YGtR3EpEWTOJx72FIem7bx9sa32ZC2geeGP0dUcJTjTB7QEL5v4T7yfTct8n03PfKdNy3yfdctT332TbnLtxWbTffNZ/jmwNNRM6251XdftamqV7atZkqpCIvbSnZ2QjIhPCWrKIuJCydSYnO83vQdx9/BgFYDvFArOD72eOaeP5eR7UY6lW/pwaVcNv8yVh1e5aGaCSGEEEKIhkIC6ppVN0mXOdDu4aAM8+uO+7u6uC2llB/QuRbbEcLttNY8vuRxDuQccJh2aOuhjO8z3mE6d4oIiuD1U19n4oCJ+CnrHXaS85MZ/9t43l7/NqU2a93GhRBCCCFE4yMBdc3MS2odNN3fbXrsqHmrbGalA8AeF+rwj+l+TdsaQHmX7yUubEcIt/si4Qv+TPzTYbqY4Bimnjy1TpanUkpxXe/r+Oicj2jdrLXlfDZt4411b3DrH7eSkp/iwRoKIYQQQoj6SgLqaiilOgJn2B/u1FofbWLTxlpj39sf9lBKDammjCGUtyp/r11bo2wBULYO9nXKPJC5onGm+9+6sB0h3GpTyiZmrJ7hMJ2P8mHaiGl1Nia5TL+YfswdPZdR7UY5lW/5oeVcNv8yVh5a6ZmKCSGEEEKIeqtJBtRKqdH2LtLVvd4S+JrymbXfrCLZK0BZX8/XlVIVRrnbH79uf1hiT1/Vtj5SSmn7bVTl17XWRZTPMN4TmFhFGUOBG+0PF2qtZXCnqFNZRVncv/B+S+Omb+t3GwNbDfRCrRwLDwzntVNfY9KASU51AU/JT+Gm32/irfVvSRdwN7MVFWHLy6vragghhBBCVKmpzvL9OuCvlPoaWIbRFTsfiAZGAbfY74PR5fqNygVorbcppaYDD2F0t16ilJoG7MQYy/wg0N+efLrWenst6jsduBzoBryglOoCfGWv8ynAIxjfZT5wTy22I0Staa2ZsnSKpXHTQ1oP4aY+N3mhVtYppbi297UcH3s8kxZO4mDuQceZMLqAv7nuTf49/C/Pj3ie6OBox5nEUVprSg4doiAhgYLNWyhI2ELhlgSKDxj7UWCPHrS44goi/ncxKsDKKoJCCCGEEJ7XVANqgDYY60tPqCHN18D4GmbMfhSIBW7ACJ6/qiLN+8DkWtQTrXW2Uuo84CegK3Cz/WaWBVyttV5Xm20JUVtfJnzJ73t/d5guOjiaqSdPxdfH1wu1cl7fmL7MGT2Hx5Y8xt/7/racb8XhFVz6w6U8P+J5hrSucjRIk6eLiynctYuCLUbQXJBg3GyZmdXmKUxI4PCUKaS+9x7Rt99G+AUXoPz9vVhrIYQQQohjNdWA+jqMCb6GAp0wWqPDMNZu3gcsBT7WWi+rqRCttQ240d7SfTMw0F5WCrAKeEdr/bM7Kqy13qGU6g/cAVwGdMHokr4PI9B+VWu91x3bEsJVm1KdGDd98rR634obHhjOq6e8yudbPufFf1+01IUdILUglZt/u5lb+t3CrX1vrbcXDbyhNCeHwoQECrYkHG11Lty+HV1c7FJ5xQcOcOjRyaS8864RWJ9/Psqvqf4rE0IIIURda5JnIVrrhcBCN5b3E0ZQ60recVScUKymtLnAC/abEPVKdlE2ExdMpNjmOFC6td+tDGo9yAu1qj2lFGN7jeX42OOZuHCipa7sABrN2+vfZs2RNTx/8vPEhMR4uKZ1S2tNyZEjRqvz0QA6geLERI9srzgxkUMPPUzq2+8QfccdhJ17Dsq36V64EEIIIUTdaJIBtRDCvbTWPLH0Cfbn7HeYdnCrwdzcp/KIhfrvuOjjmDN6Dk8seYI/Ev+wnG/l4ZVcOv9Spp48lWFthnmwht6jS0oo2r3b6Kq9JYGCLZsp3JJAaUaG1+tStGcPBydNIuXtt4m58w6an3UWyqdJzrcphBBCiDogAbUQotZmb51tadx0VFAUz494vsF2gQ4LCOOlUS/xRcIXzFg9w3IX8LSCNG79/VZu6nsTt/W7DT+fhnPoteXmUrB1m7279hYKtiRQuG0buqiorqtWQdHOnRy49z4Cu3YlesKdND/9dAmshRBCCOFxDeesTghRL21O3cwLqxyPQlAopo2o/+OmHVFKcXXPqzk+5njuX3i/U13A393wLmuOrGHaiGnEhsR6uKbO0VpTkpx8NGguSEigcMsWihITQeu6rp5lhdu3c+Cuuwns2ZOYCXcSesopKKXqulpCCCGEaKQkoBZCuCynKIeJC62Pmx7cerAXauUdvaN7M2f0HKYsnWKpdb7M6iOruWz+ZUwdPpVhbeumC7guLaVozx6jtTmhPIAuTU2tk/p4QuGWLey//Q6CjjuOmAl30mzECAmshRBCCOF2ElALIVyitWbKsinsy97nMO2gVoO4pe8tXqiVd4UFhPHiyBf5autXTF813dKFBbB3Af/jVsb3Gc/tx9/u0S7gtrw8CrdtM4133mJ02S4o8Ng2a0sFBBDYtSuBPXvgFxND5ryvKUlOdqmsgo0b2XfLrQT160vMhLtodtIwCayFEEII4TYSUAshXDJn6xx+3fOrw3RRQVFMGzGtwY6bdkQpxZU9rqRfTD8mLpxo6QIDGF3A3/vvPf498i8vjHiBls1a1rouJSkppuWpjJbnoj176nWXbd/wcAJ79SSoR0+CevYgsEcPAjt2rLDGdPQtt5AxezYp777ncit6wfoN7Bs/nuATTyRmwgSaDWk8vSWEEEIIUXckoBZCOG1L6hbL46afH/F8gx83bUWvqF7MPn82U5ZO4be9v1nOtyZpDZfNv4znTn6O4W2HW8qjbTaK9u6tMN65IGELpckprlbfK/zbtyeoRw8Ce/Y4GkD7tWrlsMXYJyiIyOuuI+Kyy0j/8itSZ82iND3dpTrk//sviePGETJoEDF3TSBkwACXyhFCCCGEAAmohRBOKhs3XWRzPMvzLf1uYUjrIV6oVf3QPKA5M0bOYM7WObyw6gVLnxFAemE6t/1xGzcedyN39r+zQhdwW0EBhRs3Er5iBYEHD3Ho8y8o2rEDnZfnqbdRe/7+BHbtYgTNPXocbXn2bd68VsX6hIQQdeMNtLjictI++5zUDz7AlpnpUll5K1eyd+w1NBs2lOgJEwjp379WdRNCCCFE0yQBtRDCMq01Ty57ksTsRIdpB7YayK19b/VCreoXpRSX97icvjF9mbhwoqXPqsyclbNIX7yA6wNH4b/zAAUJWyjatRtsNso6hBd6pNau8wkLMwXNPQnq1dPosh0Q4LltNmtG9C030+Lqq0j75BPSPvwIW3a2S2XlLl1G7tJlNDv5ZGIm3Elw375urq0QQgghGjMJqIUQls3dNpdf9vziMF1kUCTTTm6846at6BnVk9nnz+bJZU8e85kprYlNh/gkTfwRTfwR6HhEE5kDsJV8tpJfJ7WumX+bNgT27ElQT6O7dlCPHvi1aVNnk3z5hoYSc/vtRI4dS9pHH5P28cfYcnNdKit38WJyFy8mdNQooifcSXDv3m6urRBCCCEaIwmohRCWJKQlMG3lNIfpFIqpJ08lJiTGC7Wq30IDQnl+8NOcnNOWBX99SLvDxXQ8oumQBMHWeoPXDT8/Ajt3Pho4B/boSVCP7viGh9d1zarkGxZGzF0TiLz2GlI//Ii0Tz91uUt8zoIF5CxYQOjppxFz550E9ejh5toKIYQQojGRgFoI4VBuca7lcdM39b2JYW3qZn3lulaSnk7h1q0UbN5in2k7gcJdu+haWkrXuq5cNXxCQ+0ThZWPdw7o0gUfD3bZ9hTfiAhi772HyOuuJe2DD0j7/At0vmtt/Tl//EnOH3/S/KyziLnzDgK71tdvUAghhBB1SQJqIUSNysZN783a6zDtgJYDuK3fbV6oVd3SWlO8f7+xpnPZ+s4JCZQcOlTXVauRX+vWFSYJC+rZE/927Rrdusx+kZHETpxI5LhxpM56n/Qvv0QXujb6PPvXX8n+7TfCzjmH6DvvILBTJzfXVgghhBANmQTUQogazds+j593/+wwXWRQJNNGTKswQ3VjYCsqomjHjqNBc+GWLRQkJGDLyanrqlXP15fATp0qLE8V2KMHfi1a1HXNvMovOpqWDz1I5A3Xk/reLDK++gpdXOx8QVqT9dNPZP3yC2Hnn0fM7bcTEB/v9voKIYQQouFpXGe+Qgi32pq2ledXPO8wnUIxdfhUYkNivVArzynNzKQgYSuFCfb1nbdsoXDnTigpqeuqVcsnJMRobe7Rw5hhu0dPArt2wScwsK6rVm/4x8bS6tFHiLrxBlLffZf0ufPAlcDaZiPrh/lk/d9PhF94IdG33UpA+/bur7AQQgghGgwJqIUQVXJm3PT4PuMZ1rbhjJvWWlNy8CAFCQn28c5Gy3PxwYN1XbUapYXCnpaKg20CGT7qGk4cfgn+7dujfHzqumoNgn+rVrR6/HGibryRlHfeJeObb1y7WFJaSuY335D5ww9EXHwx0bfegn/btu6vsBBCCCHqPQmohRDH0Frz1LKn2JO1x2HaE2JP4Pbjb/d8pVyki4sp3LWLgs1bylueExKwZWXVddWqZVNwIAr2xCr2tFTsaQl7YxVZzcrGOpfwScmHXJtUyj3t7sEfCaid4d+2La2fepKom8aT8tbbZH7/PZSWOl9QSQkZc+eS8d13RFx6CdG33IJ/q1bur7AQQggh6i0JqIUQx/hm+zf8tPsnh+laBLbghREv1Jtx06XZ2RUmCStI2ELR9h2ujZv1EhUcTFD37hR0as08/S+rw1LZFwNF/o4nCvtk8yesTVrL9JHTaRsqLaTOCmjfnjbPPUv0zTeR8tZbZM7/EWw25wsqLibjy6/InPc1EZdfTtTNN+Ef27CHPwghhBDCmvpxFiyEqDe2pm1l6sqpltJOPXkqLZu19HCNjqW1puTwYXvgbCxPVZCQQPG+fV6vizN8Y6KNScKOzrTdk4AOcShfXwDuK87jmeXPsHPXfMtl/pfyH5fNv4xnTnqGU+NO9VTVG7WA+HjaTJtG1C23kPLGm2T99BNo7XQ5uriY9M8+I2PuXFpccQVRN43HLzraAzUWQgghRH0hAbUQ4qi84jwmLpxIYanjJYbG9xnPSW1P8kKtDLa8PNJnzyFn0UIKtyRQmpHhtW07TSkC4uOPBs1BPXsS1KM7fjExNWYL8Q/h2eHPMrDVQJ5b8RwFpQWWNpddlM3df9/N2J5jue/E+/D39XfHu2hyAjt1ou2LM4i+9RaS33iT7F9+cakcXVhI2scfkz57Ni2uvoqoG2/ELzLSzbUVQgghRH0gAbUQAjBafZ9e/rTlcdN3HH+H5ytlV7hrN/tuu5XivYle26ZVKjCQwO7djaC5pzHbdmC3bviEhLhWnlJc3PVi+kT34f6F97Mrc5flvJ9t+Yx1SeuYPnI67Zq3c2n7AgK7dqXdKy9TsPVWUmbOJPv3P1wqRxcUkPb+B6R/+RWRY8cSef24Jrd0mRBCCNHYSUAthADg2x3f8uOuHx2miwiM8Op60/kbN7HvppsoTU/3yvZq4hsZeTRwDrSv7xzQoQPKz/2fRZcWXfjyvC95bsVzfL/ze8v5NqZuZMz8MTx90tOc1uE0t9erKQnq3p12r79O/qZNpMx8g5y//3apHJ2XZyzX9fnnRF53LZHjxuEbFubm2gohhBCiLkhALYRgW/o2nlvxnKW0zw1/jlbNvDOTce7yFey//XZseXle2Z5ZQIcOBPasON7ZLzYGpRxPFuYuIf4hPDP8GfpF9WPqyqkUY21ytezibO5ZcA9X97ya+068jwDfAA/XtHEL7t2b9m+9Sf6GDSTPnEnuosUulWPLzSXlzbdI+/QzIq8fR+S11+IbGurm2gohhBDCmySgFqKJc2bc9I3H3cjJ7U72Qq0g67ffOHj/RI/P0K0CAgjs1s0eNPcgqGdPArt1xze0mUe364zz488nY0sGX+V+RZItyXK+z7d8ztqktcwYOYP2zdt7sIZNQ3DfvsS9+y55a9eS8vpMcpcudakcW3Y2Ka+9TtrHnxB1ww20uPrqerW/CSGEEMI6CaiFaMK01jyz/Bl2Z+52mLZ/bH/u7H+nF2oFGfPmcejxJ1xbwqgGvuHhBPbqacy03dMIngM6dvRIl213i/WN5dbmt7I2ci3zd1ufBXxz6mbGzB/DUyc9xRkdzvBgDZuOkP79ifvgffJWryb5tdfJW7nSpXJsmZkkv/wyaR99RNT4G2lx5ZUuj70XQgghRN2o/2eRQgiP+W7Hd8y3sERTRGCE19abTp01i6QZL9a6HP/27Y3u2r16Hm159mvZ0qtdtt0tQAXw2MDHGNp2KE8vf5r8knxL+XKKc7hvwX1c2eNKJg6YKF3A3SRkwAA6fPIxuctXkPzaa+SvWeNSOaXp6SRNn0HqBx8SddN4gi680M01FUIIIYSnSEAtRBO1I32H5XHTzw5/1uPjprXWJE2fQdoHHziVT/n7E9C1i31pKvuEYd2749u8uYdqWvdGdx5N76je3L/wfnZk7LCc78uEL1mXtI4XR75I+zDpAu4uzYYMJmTwZ+QuXUrya69RsH6DS+WUpqaS9Pw0fGe9T8SwoWQOGuTmmgohhBDC3SSgFqIJyivO4/6F91ta5/j6465nRLsRHq2PLinh0ONPkPnNN5bzND/7bKJvu5XAjh1RAU2vxbVTRCe+OO8Lpq2cxtfbv7acb0vaFsb8OIYpw6ZwVvxZHqxh06KUIvSkk2g2bBi5ixeT/NrrFGzc6FJZpSkpxP4wnxYLFpKVm0fglVfg0wT3cSGEEKIh8KnrCgghvO/ZFc9aWt/4+JjjmdB/gkfrYissZP/d9zgVTEdceQVtX5xBUPfuTTKYLhPsF8yUYVOYevJUgv2CLefLKc5h4sKJPLP8GUuT0QnrlFKEjhhB/Nw5tHvzTQJ79nS5LP+sLNKmTmXn2WeTPmeOxyfoE0IIIYTzJKAWoon5bsd3/LDzB4fpwgPDmT5yOv4+/h6rS2l2NvvG30TOn39azhN9++20evxxlK+vx+rV0Jzf6Xxmnz+bri26OpVv9tbZjP1pLHuz9nqoZk2XUormp55Cx6/n0fb11wjs1s3lskoOHuLw40+w85xzyfj6G3RJiRtrKoQQQojakIBaiCZkR/oOnl3+rKW0z57k2XHTJamp7L3uOvJWrbKcp+UjjxBz14QGPbGYp3QM78gX537Bpd0udSpfQloCl/94Ob/s/sVDNXOdtmnysorIOJJHUX7DDCKVjw9hZ5xBx+++pe0rLxPQubPLZRXv38+hRx9l53nnkfnDD+jSUjfWVAghhBCukDHUQjQRZetNWxo33ft6RrYf6bG6FO0/wL4bb6Ror8WWUT8/2kx9jvDRoz1Wp8YgyC+IJ4Y+wcCWA3ly2ZPkleRZypdbnMukRZNYdXgVDwx6gEDfQA/XtHr52UXs25JG4qY0Ejenkp9d3s05OCyAiNhgImJDiGgZQkRsCOGxwYTHBOMXUL97LCgfH8LOPpvmZ5xB1s+/kDJzJkV79rhUVvHeRA4+8CApb71N9J13EHb22dJjQwghhKgjElAL0URMXTmVnZk7HabrF9OPCSd4btx04fbtJN44npKkJEvpVVAQ7V59hdCRngvwG5tzO51Lr6heTFw4ka3pWy3nm7NtDuuT1zNj5Aziw+M9V0ETW6mNI7uzSNycRuKmVJISs0FXnTY/q4j8rCIO7cis+IKC5i2CCI8NrhBoR7QMISwqCB/f+tMZS/n6En7+eYSdfRZZ//d/JL/xJsWJiS6VVbR7Nwfvn0jq228TfcedND/zDJRP/XmvQgghRFMgAbUQTcD3O77nux3fOUwXFhDG9BGeGzedv24dibfcii0z03FiwCcsjPZvv0XICSd4pD6NWXx4PJ+f9zkvrHyBOdvmWM63NX0rl/94OU8MfYJzO53rkbrlpBccDaD3bUmvfXduDdlpBWSnFbA/Ib3CSz4+irCYYCJigwk/2rJt3A+NCET51M3wAeXnR/iFFxJ27rlk/vADKW++RfGBAy6VVbh9BwfuuYfA7t2JmXAnoaedJsMihBBCCC+RgFqIRm5nxk6eXWFx3PTwZ2kd2toj9chZ/A/777oLnZ9vKb1vTDRxs2YR1L27R+rTFAT6BvLY0McY2GogU5ZNIbc411K+vJI8Hlz8IKuOrOLBgQ8S5BdUq3qUFts4uDPD6Ma9KZW0g9bq4Q42mybjSB4ZR/KA1Aqv+fn7GEF2bDDh9kC7rDt5UKi/V4JS5e9PxCWXED56NBnffkfK229TcuiQS2UVbt3K/jsnENirJzETJhA6apQE1kIIIYSHSUAtRCOWX5LPxIUTyS9xHMRe1+s6RrUf5ZF6ZP30EwcefAgsLvvj3749cR+8T0D79h6pT1Nzdsez6RnVk0kLJ7ElbYvlfPO2zWND8gZmjJxBx/COTm0zMznvaAC9f2s6JUU2Z6vtcSXFNlIP5JB6IOeY1wKC/YwAu2WIvWXbHmzHhhAQ7P5/nSoggBaXjyH84otI/vJLkt54E7+sLJfKKty8hf233U5Qnz7E3DWBZsOHS2AthBBCeIgE1EI0YlNXTGVHxg6H6frG9OXuE+/2SB3Sv/ySw089DbqagbGVBPboQdx77+IXE+OR+jRVHcI68Om5nzJ91XRmb51tOd+29G1c/uPlPD70cc7vdH616YoLSzmwNf1oV+7MZGs9EeqrovwSkvZmk7Q3+5jXKk+OFm6/747J0XwCAggbM4YVzZoRvnIlrZYsxZaa6jhjFQr++499N91M8PHHE3PXBEKGDpXAWgghhHAzCaiFaKTm75zPtzu+dZjOU+OmtdakvPUWKa+9bjlP8Ikn0v6tN/ENC3NrXYQh0DeQyUMmM7DVQJ5Y+oTlLuD5Jfk8vPhhVh1exUODHiLYLxitNWkHc4/Oxn1wRwa2EmsXTRq6miZHC20ReMws5BGxITSPDsLXicnRtL8/GSedxICHHqLg+x9Ife89StPSXKvvunUk3nAjwQNOJGbCXTQbPMilcoQQQghxLAmohWiEdmXs4unlT1tK+8xJz9AmtI1bt69tNo5MfZ70Tz+1nCd01CjavvwSPsHBbq2LONZZ8WfRM7InExdOdKoL+I9bfubwhlzO9R9D+vZicjMKPVjLBkhDTlohOWmF1U6OFl5Fy3ZNk6P5BAcTdf04Wlw+hvQvviB11vuUZmS4VL381f+SeN11hAwebLRYn3iiS+UIIYQQopwE1EI0Mvkl+dy/8H5L46av7XUtp8Sd4tbt6+JiDj7yKFnz51vOE37hBbR+5hmUv2dmFxfHiguL47NzP2PG6hl8mfBl1Ym0Iia3He0zetI+oyctszvggy/7OXbMsbv5+CpadwknrlcUMR2ak5teaEwulpRHRlI+mUfyKCmuf+Oyq2OeHG1vlZOj2buNtwwhJMKPwnRf/EJsaPtQCZ+QEKLGjyfiiitJ/+wzUj/80PJs+ZXlrVjB3qtX0GzYMKIn3ElI//61fn9CCCFEUyUBtRCNzLSV0yyNm+4T3Yd7TrjHrdu25eez/557yF24yHKeyOuuJfbBB2X93DoQ4BvAI4MfYWCrgTy+5HFyinMIKg6lfUYPexDdg+CSUK/VJyw6iLjeUcT1jqJttwgCgqr/F6VtmtzMQjKS8o8G2pn2+1kp+dhKG073c2NytFxSD5i74IcA8PnSVaaJ0eyTo51zJe3/N4bcOV+Q9tFH2HJcu8CRu3QpuUuX0mzEycRMmEBwnz5ueDdCCCFE0yIBtRCNyPyd8/l6+9cO0zUPaM70kdPx93Vfi3BpZib7brud/DVrLOeJueceom65WSZKqkOlpTZ6Fw3kSb83WbN+G80zvTcZnJ+/D227tyCudyRxvaIIjw22vC8oH0VoiyBCWwTRrnuLCq/ZSm1kpxWQcSTfCLRNLdvZaQXQcGJtigpKa5gcrR/hl75BUHoifhuXE5S5n5D8JILzU/C1WZtRHyB30WJyFy0m9NRTibnzDoJ69XLnWxBCCCEaNQmohWgkdmVaHzf99ElP0za0rdu2XZyUxL7xN1G4bZu1DErR6oknaHHF5W6rg7AuO62AxE2pJG5OY/+WNIoKSgFojueD6RatmxHXO5IOvaJo3TUcP//azYpdFR9fH8JjQgiPCaEDURVeKykuJSu5wAiwj+SRaQ+0M47kkZdV5Pa6eFLZ5GgQCe3PhbJV5rSNwMIMQvKOEJKfbATZeUmE5CcRVJCKj666q3zOX3+R89dfND/jDKLvvJOg7t289l6EEEKIhkoCaiEagYKSAsvrTY/tOZbT4k5z27aLEhNJvOFGivfvt5bB35+2018g7Oyz3VYHUbOS4lIObc9k7+ZUEjelkX7I2uze7hAQ5Eu7npHE9YokrncUzSODvLbtqvj5+xLZphmRbZod81pRQcnRbuNGi3Z5N/LCvJI6qK2LlA+FQZEUBkWSTs+KL9lKCSpIISQ/iZC8JILzkwnJSyIk/wiBhZkoNNm//07277/T/JyzibnjDgK7dKmjNyKEEELUfxJQC9EIPL/yebanb3eY7rio47jvxPvctt2ChAQSx99EaUqKpfQqJIR2r79G6Eknua0O4lhaazKT8km0B9AHtqZ7dQKvsLYBdO3bmrheUbTsFObUclF1KSDIj5i45sTENa/wvNaagtzi8mD7iL1VO8lo4S4pajiTo2kfX/JDWpIf0pLUio33+JQWGQF2WbC9Nol9V99Dy5P60eaOGwnq3KluKi2EEELUYxJQV0EpNQ14wPTUKVrrBZXSxAO7nSx6r9Y63sU67QE6eHIbomH6Ze8v1sZN+7t33HTe6tXsu+12bNnHju2sim94OO3fe5fgvn3dsn1RUVFBCQe2ppO4OY3ETalkpRR4bdv5fjnsi0hgX8QW9odvRQcX80ivRxjc5aJGMT5eKUVwaADBoQG06hRe4TWtNbkZRUeD67JgOzMpj8zkhjU5ms03gNzQtuRWHg6SB35TNxMauJ6o7m2J7BRDRGzw0cnSAoPlVEIIIUTTJf8FK1FKHQ+4rwmvoq0eKlc0Ucmlybz373uW0j590tO0a97OLdvN/vtvDtxzL7rQ2jrEfq1aEff+LAI7d3bL9oURyKUeyLWPhU7l0I5MrwVvNmwcab6HfRFb2BexheRm+0GZtl0Kjy99nFWHVzF5yGRC/EO8Uq+6oJQitEUgoS0Cq58czd6ynWlv1c44ktfgJkcr8QshoxQyNuewc3PFWcWDm/sbM5DH2tfWLrsfE4xfgPvHyAshhBD1iQTUJkopH+BdjM8lCYitIfkBwMoaIw8DV9nvf1yrChq+BybX8HrDmlVHuKxYFzM7dzZ5tjyHacf2HMtpHdwzbjrju+849OhkKC21lD6gY0fi3p+Ff5s2btl+U2Yrgl1rUzi8I4d9m1LJzfTezz0o3I+94ZtYH7SE/eHbKPJzPF5//q75bEzdyIyRM+jWoulNcFVhcrTeNUyOdnQmciPgzvPi9+oO+dnF5GdncmjHsetih0YGEhFrBNhGi7ax3nbz6KAGMxRACCGEqIkE1BXdBQwEEoBvMYLhKmmti4GNNRWmlPIFRtkfZtvLrK0MrXWN2xVNw0/5P3HYdthhut5Rvd02bjrt4485MvV5y+mDevem/Xvv4hcZ6ZbtNzU2myZ5bzY71x8maXkIRRk+HMTxWHl38PFTtOkSQVyvKOJ6RxLZphkltqG8uiaXjzevt1zO7szdXPV/V/HI4Ee4uMvFjaILuDvUNDlaVnoOv87/m5I8H+JbdyM3rfhoy3aDmhwNyEkrJCetkP0J6RWe9/FRNI8OMlqzY4z1tcPtLduhEYEoH9lPhBBCNAwSUNsppeKAsjWHbgVOcUOxpwNlzXLztNaOm3SEsODXxF9ZVbTKYTp3jZvWWpP86qukvv2O5TwhQ4bQbuZMfEOPDRhE9XIzC9m3JY3ETWns25xGQW7ZesKe7zobHhNMXG8jgG7brQX+gRW36e/rz8SBEzmx5YlMXjKZrKIsS+UWlhbyxNInWHl4JY8PebxRdwF3B/8gXwLCbQSE2zj+zHYEBwcffa0gp/hoq7YxQVo+mcnG/YY0OZrNZkycl5mUz15SK7zm5+9Dy05h9D+zwzEt+0IIIUR9IwF1uTeAUOBjrfVCpZQ7AuprTffd0d1bCPZk7mHq6qmW0j510lO0b97eccIa6NJSDj/1NBmzZ1vO0/yM02kzYwY+gYG12nZTUFpq4/DOTBI3pZG4OZWUfTmOM7mJX4AP7bq3IK53FO17RRIRay3QPSXuFOZGzmXSoklsSN5geXv/t+v/2JSyiRkjZ9A9srur1W7SgkL9aRUaXu3kaJnmYLuBTo5WUmzjwNYMDmzN4LiRbTnp0i4eWa9cCCGEcAevBNRKqYnAJ1rrJG9sz1lKqTHA+UAaMNFNZTYHLrI/3AMscke5omkrLC1k4sKJ5JU4Hjd9VY+rOL3D6bXanq2oiIOTHiD7118t5wm/9BJaT5mC8pPrddXJSs03AuhNqezfmk5xgbXx6O4Q2abZ0VboNp0j8PV3bRxrm9A2fHT2R7y25jU+2vSR5Xx7svZw9U9X8+CgB7m066XSBdxNzJOjta1ycrRC00zk5Ut+ZaXW78nRNi48wOFdmZw1/jgiWkrPBiGEEPWPt854XwCeVUr9BHwA/J/Wul70TVNKRQCv2h8+qLW2tqCuY5cCZf/9P9Vau+uUZYRSah3QGaMP6BFgJfAl8L0btyPqoRdWvsDWdMeTxfeK6sX9A+6v1bZsubnsnzCB3KXLLOeJumk8MffdJ0FSJSVFpRzcnnG0FTr9sOMLIu4SEOxH+55GK3Rcr0hCWwS5rWx/H3/uH3A/A1sN5JF/HiGz8NhJqapSWFrIU8ueYtXhVTwx9Ama+cuwAE8yJkcLJjwmGCp1oS4ttpGZYl9fOymvfK3tg1nk5daLf9Ok7MthztRVnDK2B10HtKzr6gghhBAVeLMJyR+4wH5LUkp9AnyotU7wYh2q8gLQClgCvO/Gcs3dvT9xY7kdKz2Ot9/GAEuUUpdrrQ+4UrBSytGaSq3K7uTn55OfL0PCven3xN+Zs22Ow3TN/Jvx7OBnKS0qJR/XvqPS9HSO3HU3RRutz3/X4t57aH7ttRQUeG/94/pKa01WcgH7t2SwPyGDwzszKS320rUuBdHtm9GuRwRtu0cQ06E5Pr5lFzi0R363A6MG8tkZn/HoskfZkGq9C/jPu39mY/JGpg6bSreIpjcLeHXMvyFv/J6CI3wIjgildffQCs8XF5SSsmIzh7/5lYy9aeQHx5IXHENeSEtKvHwRpLiglN9mbSJxcwqDLorHz8WeFfWRt79vUffkO29a5PuuPzwVuyhvNGgqpXoDNwJXAzH2p8s2vAIjkJ2ttfbe4EGjXicDC4FSoL959myl1BTgCfvDU7TWC5woNw6jm7cClmqtT3JDXbcBW4DfMGYXzwQigKHAbUDZQNktwFCttbWmoorbsLwzzJo1i+joaGc3IVyUUprCW9lvUYjjdZ+vCLmC4wKOc3lbfhkZtJ31PoHJyZbSa6U4csklZA0c4PI2GwNbCRSm+lGQ7EtBih+l+d474fcJsBEUXUpQTAmBUaX4BtZNR5VSXcofBX+wuHCxU/n88OPc4HMZGDBQejfUU0GJiUT9/gfNtm0DoNivGXkhMeQFx5IXEmsPtmPJD4ml1Nezcyf4Ny8lsn8+/s2kQ5YQQgjrUlJSGD9+fNnD9lrr/e4o1yst1FrrTcB9SqkHMMYqXw+cY9/+YPvtFaXUPIxWa4+PN1ZKBWCsOa2Al928FNVYe7ngvtbpQVrrjCqeX6CUmgnMA84EemJcCHDPOkmizhXrYmbnzbYUTA8JGFKrYNo/KYl2s97HP9Pa9Ribnx+HrrqS3N69Xd5mQ6U1FGf7UJDsR0GKL0XpvqC9FAwqTUBEKUExpQRFl+AfZqM+xKG+ypezgs8i3i+er/O+Jk9b69peQgk/5P/A7pLdXBhyIUHKfd3ShXsUxMVx4MYbCNqzxwisd+wgPCuX8Kw9FdJpoCggnLwQozU7P7il6X4M2qf2px3F2b4kLWlGi+MKCGnTsJYRE0II0fh4pYW6yg0rFYvRLXoc0Mv+dFlldgIfYsy4fdBD25+CEXgmAr201rnVvA7Ot1BvAXoAhUCragJht1JKhQO7gEggF4jUWhc5WYaVLt+rALZt20a7do6SC3d44d8XmLdznsN0PVr0YNapswjwDXBpO4WbNnPkzjuxZWRYSq+aNSP2lZcJHtB0WqYLcos5uDWT/QkZHEjIID+72HEmN/ENshEUU8IJI7rToXc0AcH1e9K3I3lHmLx8MutTrK9ZDdA+tD3PDX2O7i2a7izgBQUFLFpkXFceMWIEQUH17wJDwep/SX/rLQrXrLGcR6MoCIqs0KqdH9aG/OiO5Bf748rpSPehsQy+KB6/gIY7C3hD+L6Fe8l33rTI911/7N+/n27djg4xa1gt1FWxz/g9A5ihlBoE3ABcDoQDXYBngKeUUr9jdAn/QWvtlrNXpVQP4GH7wwmVg+lalj0II5gGo84Z7iq7JlrrTKXUV8DtQDNgALDUyTJq3KnMXTGDg4MrrI0qPOOXPb9YCqZD/UN5adRLhIeGO0xbldzlyzly+x3Y8qy1KPpGRtL+vXcJbuQt0zabJmlPFombUkncnMaRPVlemxHZx0/RtmsEcb2jiO3cjJXr/0Ep6DqgVYP47cUHx/PROR/xxro3mPXfLMv59uXs44Y/b+DBgQ8ypvuYJt8FPCgoqF5+38EnDydi+EnkLV9O8muvk792rcM8Ck1wQSrBBalEpW+p+FpMS3yvuJk16Z1J2W/9X/LWZUmkJOZx1k29adGq4U9uV1+/b+E58p03LfJ91y1Pffb1oolDa70SWKmUugdjduyyicJ8gbPst1Sl1AfAK1rrw7Xc5L1AAEaLbohS6ooq0pj7zZ6qlCqbkGu+gwDcU5ORWbHZdL+tl7ct3CwxK5EpS6dYSjtl2BTah7m23nTWb79x8P6J6GJr16v827Sh/fuzCOxYeX68xiE3s/DobNz7NqdRmOe9LqXhscFHZ+Nu260F/oFGq1t+fj7K+lxf9Yafjx93n3A3J7Y8kUcWP0J6YbqlfMW2Yp5Z8QwrD69kyrApNA9o7uGaClcopWg2dCghQ4aQ+88Skl9/nYINru2oOvkIJa8/Tb/Y1iSedi/bD1kPjlMP5DBn6mpGXdWd7oNbOc4ghBBCuFG9CKgBlFIdMLp/Xwe0xGgHUpSPRY4GJgETlFKTtdYv12JzZTOmdMJYbsqRx0z3O2J0qT6GUsofKAvOk4BfXK2gi2SGlkaibL3p3GLHLTWXdr6Us+LPcmk76XPncviJKWCztjxOQJfOxL3/Pv4tG8/SNaUlNg7vzCRxcyp7N6WRut97cyP6BfrSrnsLOvSOpH2vKGNZo0ZoeNvhzB09lwcWPcCaJOtdhH/b+xtb0rYwfeR0ekc17t4QDZlSitCTh9Ns+EnkLFxIymuvU7B5s+OMVdBJh2j/5QMEdz2FLR0uobjEWg+FksJS/vhwMwe2pXPy5d3wb8BdwIUQQjQsdRpQK6WCMFqkrwdGUjGA3obR1ftTjNbiG4FLgGCMbuLJWuvPvF7pmp0HlC3y+YXW2tuzpfQy3ffI2HPhHTNWzWBL2haH6Vr7tubu4+92unytNamzZpH84kuW8wT360f7d97GNyLC6e3VN1kp+Ue7ce9PSKe4sNRr245qG0pc70jiekfRulM4vo1o+Z+atGzWkvfPep83173JrP9moS1e/9uXvY9rfrqGiQMmcmWPK5t8F/D6TClF81GjCB05kpy//iL59ZkUJri2Mmb09r85cd9/JAy7nwxbmOV8W5Yc4sjuLM6++bhG0QVcCCFE/VcnAbVSaihGED0GKOvLp4B8jNmqZ2mtzeuuHAb+UEp1tr/eD6PbtksBtdZ6HEZreE11nILzk5KZu3t/7ELVXGaflKysdTwPWO3N7Qv3+W3Pb3y19SuH6QIJ5IqQKwh0cokarTVJL0wn7cMPLedpNnw47V57FZ+QEKe2VV8UF5VycFvG0SA644i1seLuEBjiR/uekcT1jqR9zyhCW3h2SaH6zM/Hj7tOuIsBLQfw8D8Pk1aQZilfsa2YqSunsi5pHc+e/Cz+Pv4erqmoDaUUzU87jdBTTiH79z9Imfk6hdt3OF1OSEEKx//9GLsH3sDekH6W86UdzDW6gF/Zje5DWju9XSGEEMIZXguolVKtKZ/Vu2x6tbKmhrXALOBzrXVWdWVorXcqpR7E6Erdrbp0dUEpFYnRQg3wn9Z6nRN5F2C00AN01FrvqfT62cBCrXWVq5ErpUKBOZS3jr+vtXa8xpKod/Zl7eOJpU84TghcFHIRUb5RjhOa6JISDj32OJnffms5T9i559Dm+edRAa7NHl4XtNakH847GkAf3JZBaYm1bu21piC2QxhxvSPp0DuK2A7N8fFtGq3QVg1rO4y5o+fy4KIHWX3E+rW/n/f8jL+vP88Of9aDtRPuonx8CDvrTJqfcTrZv/xC8sw3KNq1y6kyfHQJnVe+S3jcMLZ0vxqLUz0YXcA/2sL+bRmMuEK6gAshhPAcrwTUSqmfgDMAH8qD6EzgC4zWaMfTg5Yr+29c35rKrsCY6Azc3zr9EPC5Uuob4B+MZcVyMGZEHwbcCsTZ024Fprh5+8ILikqLuH/h/eQUOx7D+7/O/6NPah+nyrcVFHDgvvvJ+esvy3laXHUlLR99FOVb/09Gi/JL2J+Qzt7NqSRuSiUnzXvXlILDAojrVdYKHUlwaMO5+FBXYkNiee/M93hr/Vu8t+E9y13Af9j5A4NbD+aCzhd4uIbCXZSPD2Hnnkvzs84i66efSJn5BkV79zpVRnTiUgYkbyNh1MOk51tfciZh6SGS9mRx1vjjiGwjXcCFEEK4n7daqM823V+M0Ro9V2td4EJZecAi6t8EXGXdvUuBzz1QfiQw3n6rzkLgaq21tX6Uol55cfWLlsZNd2/RnXuPv5eFfy60XHZpdjb7b7+DvFWrLOeJvv12oifcWW/HrGqbJmV/DombU0nclMbhnZnYbN45LPj4KFp1Dj86Fjq6bSjKp35+TvWZn48fE/pPYEDLATy0+CHLXcCfWf4MfaL70DG8cc4031gpX1/CR48m7JxzyPxhPilvvknxfutLgAbnp9DvlwdJHDWBXbqL5XxpB3OZ+/wqRl7ZnR5DpQu4EEII9/JWQJ2E0Wo7S2u9vTYFaa0PAqPcUSl3UUp1BQbbH/7uhmW9KpsInAYMBbpjzHgegXFx4SCwAmO28t+01vXtQoOw4Pe9v/NFwhcO04X4hfDiqBedGjddkpJC4k03U7jFcbBepuWjjxJ5zVjL6b2lILfY6Ma9KY3ELWnkZxV5bduhkYF06B1FXO8o2nVvQUBwvVkkocEb2mYo80bP48HFD7LqsOOLPvkl+Tyw6AE+O/czp+cQEHVP+fkR8b+LCR99PhnffUfKW29RcvCQpbw+uoT4v18mvNcZbGp/MUWF1v7llRTZ+PPjLRzYls6IK7ofXZJOCCGEqC1vnRG2q4MZr2tFaz0Fi12n7RcJXG6e0lqPcvD6amSSsUZrX/Y+nlhibdz0lGFT6BDWgfz8KofTH6No/wESb7yB4r2J1irj50ebqc8RPnq0tfReUpBTzOqf97Bx0QFKi70zFtrXz4e23SKMdaF7RxLRMqTettY3BjEhMbx3xnu8s+Ed3l7/tsMu4AlpCby0+iUeHvywl2oo3E35+9PissuIuPBCMr75huSXX6E0M9NS3habf2fAwc1sHfUQqRnW5yhIWHaYI3uyOeum3kS1CXW16kIIIcRRXgmoG1owLYS3FJUWMWnhJLKLsx2mvazbZZzT8RzLZRds28a+8TdRkpRkKb0KCqLdq68QOnKk48ReUlJUyoa/9/PvL3spyvf8YSSiZcjRbtxtukbIREZe5uvjy+3H384JLU/g/gX3k1VU7RyVAHyR8AWDWw/m1LhTvVRD4QkqIIAWV1xBs+Ens/+uCRRuttabJijjAH2+v4cDFzzK9syWlreXfiiXeVNXM+LKbvQY2loulAkhhKgVb01K5ocxeRbAeq11jZeglVIRQF/7w8XSjVk0Vi/9+xKbUjc5TNe9RXceGPiA5XLz1q5l3623YbPY2uMTFkb7t98i5IQTLG/Dk2w2zbaVh1nx/S5y0j03uZh/oC/terQwWqF7RRIWHeyxbQnrhrQewjMnPcNdf9/lMO1jSx6jV1QvWjVr5YWaCU8KaNeW+C++4PCTT1leicBHl9L++6cIH3opG8JPp6jA2pryJcU2/vokgQNbMxhxZTcCgmQIhxBCCNd46z/IhcBcIBXoYCF9EfAN0MKe90fPVU2IuvHn3j/5fIvj+etC/EKYMXIGQX7WZrbNWbyY/XfdjbbYLdwvJob2s2YR1L1+rESXuDmVpd/sJHW/49nOXRHdPpS4XkY37ladwvH1kyWt6qNT4k7h6p5XO/yNZBVl8eCiB3n/rPfx85GgqKHzCQqi9XPPEtyvL4effQ6r62SFLZvH4Pb/kTD0PpKTrPdm2briMEl7szjrpuOIaitdwIUQQjjPW2cfF9v/ztVa5zlKrLXOU0rNBm4DLkECatHI7M/ez2NLHrOU9omhTxAfHm8pbeaP/8fBhx6CEmsnlP5xccS9P4uA9u0tpfek5H3ZLPtmB/u2pLu13MBmfsT1NLpxt+8VSbNwmcSqobjvxPtYc2SNw9nv1ySt4e31b3Nn/zu9VDPhSUopWlxxBYHdu3Pg7nssD1vx37eV447czaHLnyZhn/WVNdMP5zH3+dWMuKIbPYdJF3AhhBDO8VZAPRBjmSvrC+AaaW8DhnikRkLUkeLSYsvjpi/pegnndjrXUrlpn3/OkWeeBYsjJAJ79CDuvXfxi4mxlN5TslLzWfnDbrauPOyWxfCUgtj4sKOTicV2CMNHlrRqkAJ8A3hhxAuM+XEM+SU197h4d8O7DGo1iEGtB3mpdsLTQvr3p+M3X3PgnnvJW21tXk5VVECbTycRMfpm1paeSGGetYuLpcU2/v40gQNb0xl5VXfpAi6EEMIyb/3HKGv+2u1Enj2V8grRKLz070tsTN3oMF3XFl15aNBDDtNprUme+QYpM2darkPwgBNp/+ab+IaFWc7jbgW5xaz5ZS8b/t5PaUntZu4OCQs4OplY+x6RBIX6u6mWoq7Fh8fz2JDHeOSfR2pMp9E8tPgh5l0wj8igSC/VTniaX3Q0cR9+QNKMF0n7+GPL+ULmv8uwvkPY1Ocmkg4UWM63beURkvZmc9ZNxxHdTrqACyGEcMzbl2CdaSYqSyuXiUWj8Wfin3y25TOH6YL9gnlx5IuOx03bbKRNe4Hs2bMt1yH0lFNo+/JL+ARZG5PtbqXFNv5buJ/VP+2x3HpUldj4MDr3jyGudyRRbUOlm2YjNrrzaJYfWs4PO3+oMV1yfjKT/5nMzNNm4qNkbHxjofz9afnwQwT16cOhxx6zPD+E2rCcPvu2c+Sq59i4yfqxJuNIHvOmrebkMV3pNbyNHFuEEELUyFtnHMn2vz2cyFOWNsXNdRGiThzIOWB53PTjQx+nY3jHmhOVlNBq9myngunwCy+k3Wuv1kkwre0zd38+ZTlL5u1wOZhu0SqEc2/vy6UPnsgJZ3Ugul1zOeFtAh4d/CgdwhzPabn4wGI+2+z4opVoeMLPP4/4r77Cv0Oc5Tw6PZXYt27j5C6HCGxm/fp8abGNBZ9v5fcPNlNUICt/CiGEqJ63AupVGC3O1zqRZxzGiMo1nqiQEN50dNx0kbVx0+d3Or/GNLb8fNp+/Alh69ZbrkPkddfReupzKH/vd4fen5DG3OdX8/sHm8lOtd790iwkLIBRV3fniscG0bFvtATRTUyIfwjTR0zH38fx/vvympfZlOJ4OTrR8AR170bHuXMJHTXKeiabDf9ZzzCy6P9oGe9cN+7tq44w57lVpOx3fOwWQgjRNHkroJ5n/3uaUup+R4ntaU61P5zrsVoJ4SUvr3mZ/1L+c5jOyrjp0owMjtx6G822bbO8/Zh77yX2oQdRPt7tBpt6IIf5r6/n+1fWkZzo2gmpf6Avg0Z3ZOzTQ+l9clt8fKUrb1PVM6on9w9w+C+EElsJkxZNIqfIM0uvibrlGxZGuzffIHrCncYshBaV/P4D/RY9Td/Bzs0dkZmUz7zn/2XjogNoi5M+CiGEaDq8dWY6G1iP0Ur9glJqnlJquFLqaP8rpZSfUupkpdTXwAsYrdMbAem7Jxq0vxL/4tPNnzpMF+wX7HC96eIjSey95loKN2ywtnGlaPXkk0TfcrNXW3Rz0gv485MtfPXMShI3pbpUhvJRHDeyLWOfHsrA8zriH+jr5lqKhuiqHlcxqv0oh+n2Ze/jqeVPSQDUSCkfH2LuuIP277yNjxOTK5bs2kHszFs5dVgpQc2s99YpLbGx8Iut/Pb+JorypQu4EEKIcl4JqLVxRnMxcAgjqL4YWAjkKKUOKqUOAjnAAuAie5pDwIVazoZEA3Yw5yCTl0y2lPaxIY/RKbxTta8X7d3L3quvpnD7dkvlKX9/2r78Mi0uH2MpvTsU5pew7LudfPb4chKWHnJ5GaxO/WO48vFBjLyyOyFhAe6tpGjQlFI8PexpWoa0dJj2590/892O7zxfKVFnQkeMoOO8uQR27245jy03F567i9Ni1tG6s3Ot1TtWJzHnuVUu97gRQgjR+Hit76TWeg/QH/jO/pQCAoBW9lsA5TN7fwOcYM8jRIPkzLjpi7tczOjOo6t9vWDLFvZcPZbi/fstbVuFhND+nbcJO/ssy/WtjdISG+v/2sdnk5ex5pe9lBa7tgxWq05h/G/iCZxzSx9atGrm5lqKxiIiKIJpI6ZZmsl76sqp7MrY5YVaiboSEBdH/FdfEnZB9cfQquR/9CYnbHmL40c5vjhjlpmcz7wXVrNx4X7pASGEEMK7S1JprZOA/ymlugHnYQTY0faXUzAmIPs/rbW1Jjgh6rFX17zKhhTHXbO7RHTh4cEPV/t63qpV7Lvtdmw51saD+kZE0P7ddwju29dyXV2ltWbHv0ks/24nWSmuTTYGEB4bzNCLO9Pp+BiZbExYcmLLE7mt3228se6NGtPll+QzadEkPj/3c8fL0IkGyyc4mDbTphHctx9Hnn8eSqx1y85fupTYPbs58/4ZLPo7l4KcYkv5bCWahV9uY//WDE65pgeBwbLCpxBCNFV18h9Aa70NsD6jkhANzIJ9C/h488cO05WtNx3sF1zl69l//c2Be+9FFxZa2q5fq1bEvT+LwM6dnamuSw5uT2fJ1ztJ2pPlchnBzf0ZeF5Hep3cBl+ZbEw46aY+N7Hy8EpWHV5VY7pt6duYsXoGk4dYG34hGialFJFjryaoZw/233MPpcnWVt0sOXgI9fD1nPPgEyw/1IFDOzItb3PnmiSS92Vz1vjexHZwrvu4EEKIxkHOYIVws0M5h3j0n0ctpZ08ZDKdIqoeN53x3XfsnzDBcjAd0LEj8V987vFgOu1gLv/35ga+fXGty8G0X4APA86NZ+zTQ+kzqp0E08Ilvj6+PH/y87QIbOEw7eyts/lj7x9eqJWoayEnnkjHr78m+IQTLOfRRUVkPv0og7Pmc8KZ7csHoFmQlZzP19P/ZcPf0gVcCCGaIjmLFcKNim3FTFw0kawix4HmRV0u4oLOF1T5WupHH3HooYehtNTSdoOOO44On3+Gf5s2TtXXGbmZhfz9WQJfPb2CPRustfxUphT0Gt6GsU8NZfAFnQgIkm6SonZiQ2J5ZvgzltI+vvRxDuYc9HCNRH3gHxtLh48+pMXYsU7ly5ozm1azJ3Pu1XEEN7c+C7itRLN49jZ+fXcjhTILuBBCNCl1djarlIrHGD8djINrwVrrRd6okxC19dqa19iQbG3c9CODHznmea01ya+8Suo771jeZtCggcS9+Ra+oZ6ZxKuooIS1vyWy7o9ESopcm2wMIL5vNEMv6kxkG5lsTLjXiHYjuLbXtXyy+ZMa02UXZfPAogf48OwP8fexHiyJhkkFBNBq8qME9+3DocefQBdYm+ehYP0GfB+4jtHPvsg/a5pxcHuG5W3uXJtsdAG/6TjpAi6EEE2EVwNqpVR34BHgAsDqfxpNHQb+Qli1cN9CPtr0kcN0ZetNVx43rUtLOfzkU2TMmWN5m9nH9abD6697JJguLbWxefFBVv3fbvKzrU3UU5XYDs0ZdkkX2nZz3C1XCFfdc8I9rD6yms2pm2tMtz55PW+te4u7TrjLSzUTdS38ggsI7NqV/RPusrxSQmlaGil3jmf4/RPZde7JrP55r+VlALNSCvj6hX8ZdkkX+p7STiZaFEKIRs5rXb6VUhdhzOI9FgjHaJW2ehOiXjuce5hHl1gbN/3o4EfpHFFxnLOtqIgD993vVDCdMWgQh66+GhXg3nWatdbsWpvMV0+tZNFX21wOpsOigzhzfG8ufWiABNPC4/x9/Zk+YjrN/B1fXJr13yyWHVzmhVqJ+iKoZ086zptLs5NPtp6ptJSUF6bRbsEbjL65h3NdwEs1/8zZzi/vbKQwz/ULkkIIIeo/rwTUSqn2wGcY3bsPAvcAN9tf1sBpwGXANPvrAP8ApwOneqOOQriq2GasN51Z6Hhm2As6X8CFXS6s8FxpTi77brmF7F9/tbzN8BuuJ+l/F4OPe3/Ch3Zm8s30Nfz8zn9kHMlzqYygZv4MH9OVq6YMoeuAltI6I7wmLiyOx4c87jCdRvPIP4+Qku/aXACiYfKNiKD9228RffttTuXL+ulnSh6/hYuvbUXb7hFO5d21LpnZz67iyG7XV0MQQghRv3mrhfouIATIBgZrrV8DjjYPaK3/1lp/rbV+GOgKfAWcBNyotV7opToK4ZLX177OuuR1DtN1Cu/Eo4MrtmKXpKeTeP315C1bbnl7sQ88QIsJE4wZvtwk40geP7/zH99M/5fDu6wvGWPm6+/DCWd3YOwzQ+l3ant8/WTOQ+F953Y6l4u7XOwwXUp+CpP/mYxNuz4vgGh4lK8vMXfdRbs338SneXPL+Qq37yDp+qs4pU8GA8+Ld6rvXHZqAd/M+Jf1f+6TWcCFEKIR8tYZ7+kYLdFvaq1rnGJVa52P0S18LXCFUuoSL9RPCJcs2r+IDzd+6DBdkG8QL458kRD/kKPPFR86xN6rx1Lw33/WNubrS+upU4m64XpXq3uMvKwiFn65lS+eXMGutcmuFaKgx7DWjH1qCEMv6kxgsEx5IOrWQ4MeomN4R4fplhxcwsebHK8XLxqf5qeeQse5cwjs2tVyHltODgfvvIP4XfO54M6+BIdZH25jK9X8M3c7P7/9HwW50gVcCCEaE28F1PH2v0tNzx29TKuUqnAGrrW2Aa9hXAO+wdOVE8IVh3MPW15v+pHBj9ClRZejjwt37WLPVVdTtGuXpfwqIIB2r79GxMUXuVLVYxQXlrLq/3bz2WPL2LjwANrmWqtJXO8oLn90EKdd25PQFkFuqZsQtRXiH8L0EdMJ8HEc8FidmV80PgHx8cTP/oqwc891Kl/qW2+jX36YyyZ0p10P5+aH2L0+hTnPruLwbtd6AgkhhKh/vBVQl80Ss8/0nHmAZngVeTbZ//bzSI2EqIWycdMZhRkO017Q+QIu6nLR0cf5//3H3quupuTQIUvb8gkNpf2s92h+au2nE7CV2ti0+ACfPbaMlfN3U1xobZ3rymLimnPBPcczekI/otuF1rpeQrhb98juPDDwAYfpSnQJDyx6wNLa8aLx8QkJoc2LM4h96EHw9bWcL/effzhy/VWccUYgg0Z3dGoETnZaAd9OX8O6PxKlC7gQQjQC3gqoyy7FmpuwUk33K055bCgLsqM9UiMhamHm2pmWxk13DO/Io4MfPToxV+6yZSReN47SjAxL2/GNiqLDJx/TbNCgWtTWmLl79/pkvnp6JQs+30peVpFL5TSPDOKMG3px2UMDaN8jslZ1EsLTxnQfw2lxpzlMdyDnAE8ufVKCmyZKKUXUuHHEffgBvlFRlvMV799P4lVX0bV4PRfc058QZ7qA2zRL5u3gp7f+o1C6gAshRIPmrYB6q/1vp7IntNbZwF77wzOryHOG/W+G56olhPMW71/MBxs/cJiu8rjprF9/Y9/Nt2DLszZ7tn+bNsR//hlBvXrVqr6Hd2fy7Ytr+Omt/0g/7NrM3YEhfpx0aReufnII3Qa1QvnIzN2i/lNK8eSwJ2ndrLXDtL/t/Y2vt3/thVqJ+qrZoEF0/Hoewf2sd4zThYUceuhh/GbPZMwDxzvdBXzPhhS+e3EDhekyiaMQQjRU3jqCl83oPaTS8z9ijJOepJQ6pexJpdQY4G6McdZLvFJDISw4nHuYR/55xFLaRwY/QtcWxoQ36XPmcODee9HF1loiArt2ocOXXxAQH+9qVclIyuOXdzfy9bR/ObTDxZm7/Xzof0YcY58eyvGnx+HrLyd9omEJDwxn2ohp+CrH3XmfX/k8O9J3eKFWor7yb9WKuE8/IeKKy53Kl/7FFyRPuJmzL2/D4Auc6wKem15E8ooQsnf5uzyfhRBCiLrjrbPjnzAC5/8pVeGsZjrGWOpQ4A+lVLJSKhv4EqN7uM2eRog6V2Ir4cFFD1oaN31+p/O5qMtFaK1Jefc9Dj/+BNisLc8T3K8fHT79FP+WLV2qZ352EYtnb+PLJ1ewc02SS2WgoPvgVlz15GCGXdKFoGb+rpUjRD3QP7Y/dxx/h8N0haWFTFo0ifySfC/UStRXPgEBtJ4yhdbPPYcKsN6NO3/tWvaOuZResalceG9/QsKt50UrMrcG8cf7WynIkS7gQgjRkHgroF4APAl8CLQte1JrnQhchjHGWgFRGBOYKaAQuElrbX2BXiE86I11b7AmaY3DdPFh8Tw25DHQmqRpL5D80kuWt9Hs5JONcXwREU7Xr7iolH9/2cNnjy1jw9/7sZW61tLRrkcLxjw8kNOv70VYVLBLZQhR39xw3A0Mbj3YYbodGTt4YdULXqiRqO8i/ncxHb74Av82bSznKU1OYe+46wle/iNjHhlI+17OzTWxb3M6s59dyaGdMgu4EEI0FF5ZMFYbM708Wc1rPyulugKXAr3tddoOzNFaH/BG/YRw5J8D/zDrv1kO0wX6BvLiqBcJVgEceuRRMr/7zvI2ws49lzbPT3WqRQSMyW22LD3Iih92k5tR6FRes6i2oQy7pDNxvaxPyiNEQ+Hr48vU4VO5dP6lpBWk1Zh23rZ5DG49mLPjz/ZS7UR9FXxcb+K/nsfB+yeSu3Sp4wwAJSUcee45wjZs4Lwnn2TtoiRW/rALq3Pe5aQX8u2LaxhyYSf6nxEnc1YIIUQ955WA2hGtdSrwTl3XQ4iqHMk9wiOLrY2bfnjQw3QJjmP/XXeT89dflrfR4qqraDn5UZSP9U4jWkNBii/fz1hP+iHXu6iGtghk8IWd6DaoFT5y4iYasZiQGJ4d/iy3/XGbw7RPLn2S46KOo13zdl6omajP/Fq0oP1775L86mukvvuu5XxZP/5I4fbt9H39Ndp06c9vszaRm2lthQVt0yz7dicHtmVw+vU9CQ517kKrEEII7/FKl2+l1Af222Xe2J4Q7lJiM9aoTS9Md5j2vE7ncWGrM9g3/iangunoO+6g5WOTnQqmU/blkLIqmNTVIS4H0wHBfgy9uDNXPzmEHkNaSzAtmoThbYdzfe/rHabLKc7hgUUPUGyT8awClK8vsffdS9vXX8OnWTPL+Qq3bmX3pZcRdnADl08eRFxv57qAJ25KZfYzqzi4I8PJGgshhPAWb42hvs5+y/LS9oRwizfXvWl53PQjXW4n8bpx5K1ebbn8lpMnEzPhzqPrVDuSlZLPb+9v4oeX/qMw1bUOJj6+in6nteeap4dywlkd8AtwPPuxEI3JhP4T6BPdx2G6/1L+4/W1r3uhRqKhCDvjDOLnziGgc2fLeWxZWey79TZyPn6P827rw9CLOzvVjTs3o5DvXlrLv7/skVnAhRCiHvJWQJ1s/3vES9sTotaWHFhiedz09K6TSBp3E4Vbtlgr3M+PNtOnEzn2akvJC3KL+Wfedj6fspztq1z/GXUd2JKrpgxh+GVdCQqVmbtF0+Tv68+0EdMI9Q91mPbDjR+y5ICs3ijKBXbqRPzs2TQ/6yzrmbQmZeZMDtx5J/2GtuCi+/rTLCLQenabZvl3u/jxjfXkZ1vrNi6EEMI7vBVQb7b/7eCl7QlRK0l5STzyzyNoHLcGPNHyenxvm0zx3kRLZaugINq/+Qbho893mLakuJQ1v+3ls8eWsf6PfdhKXGudaNstgsseHsCZN/YmPEZm7haiffP2PDH0CUtpH/nnEVLyUzxcI9GQ+IY2o+0rLxM7aSI4MVwnZ8ECdl96GZGlR7h88kA6HOfcJJCJm9KY/cxKDm7PcLLGQgghPMVbAfVnGEthXeel7QnhsrL1ph3NBAxwnW0w3R79hJLkZIdpAXzCwoj74ANCR4yoMZ22abYuP8TnTyxn2Tc7KcwrsVR+ZZFtmnHeHX258N7+xHYIc6kMIRqrszuezSVdL3GYLq0gjYcXP4xNW1tLXjQNSimibryRuPdn4duiheV8xYmJ7Ln8Cor+/o3zbu/LwNFxoKxfLM3NLOK7l9aw+mfpAi6EEPWBtwLqD4E/gQuVUlOU1QGjQtSBt9a/xeojjsdBn3komvNfXY0ty9rUAH4xMXT49FNCTuhfY7p9m9OYM3UVf3y0hZw015bBahYewCnX9ODyyYOI7xNteYy2EE3Ng4MepHO44/Gwyw8t54ONH3ihRqKhaTZ0KB2/nkdQH8fj8svoggIOTppE0rTnOe7kWGIG5+EbZP2Cjdaw4vtdzJ+5nrws6QIuhBB1yVvLZp0MzABigMeAy5VSs4ENQDpQWlNmrfUij9dQCGDpwaW8t+E9h+lGbvFh/PxkdGmNu+5R/nFxxH3wPgHtql+CJ2V/Nku/2cm+zY5bxqvdTpAvJ5zZgX6ntcc/UCYbE8KRYL9gpo+czpX/dyWFpTVfwJq5diYDWg7g+NjjvVM50WD4t2lDh88+5cgzz5Axd57lfGkff0LufxsJOfcc/E6y4Xcojn2bHa8qUWbf5jRmP7uSM2/sTdtu1lvJhRBCuI+3AuoFUGEwajeMwNoKTT1ZL1s0bkl5STy8+GGH46bPWm3jhj9KjSYCCwJ79CBu1nv4RUdX+Xp2WgErftjF1hWHsTBku0o+PoreI9oy4Nx4QsJkvVIhnNG1RVceHPQgTy17qsZ0pbqUBxc9yJzRcwgPDPdS7URD4RMYSOunnyaoTx+OPP0MutjakmuFa9bQYccODo69mpPHn8HWJSks/3YnNovdufMyi/j+5bUMGt2RE86OlyUQhRDCy7zV5RuMMdSu3oTwqFJbKQ8tfqjmcdNac9niUm783YayGEyHDBhAh08/qTKYLswrZuk3O/j88eVsXe56MB3fL5IrnxjMiCu6STAthIsu7XopZ3Y402G6g7kHeXLZk2iLxwDR9LQYM4YOn3+GX6tWlvP4ZWXR/p13yZ47j+NPb8/FE08gNNKJWcA1rPhhN/NfWyddwIUQwsu81fJ7ipe2I4RL3t7wNqsOr6r2daU11/9m4+w11k+iQ085hbYvv4RPUFCF50uLbfy3cD+rf95DYa5rk40BBLQoIbx7IadePpTgYJm5W4jaUErxxLAn2JS6iQM5B2pM+/ve35m7bS5juo/xUu1EQxPcty8dv57HgfvuJ2/FCkt5VGkpaVOnUrplC62mPMHljw7iz4+3sGeD9Rnm9yekM/uZlZxxY2/adZcu4EII4Q1eCai11gu9sR0hXLHs4DLeWf9Ota/7lmru+NHG8M3Wg+nwiy6i9TNPo/zKf2Laptn+7xGWf7eL7NQCl+sb0TKEE89rT8LB1chcY0K4T1hAGNNGTGPcz+Mo0TVf7Jq2chr9YvrRPbK7l2onGhq/qCji3p9F0ssvk/a+9QntMr/7joJtW2n32muce1sf1v+5j2XfONEFPKuIH15Zy8DzO3LiOdIFXAghPM2bXb6FqHeS85J5aPFD1Y6bDizSPDDPuWA6ctw4Wj/3bIVgev/WdOY+v5rf39/scjAdHBbAyKu6c+Xjg+jQJ1KCaSE8oF9MPyacMMFhuiJbEQ8seoC84jwv1Eo0VMrPj5aTJtH2lZdRISGW8xVu3sKeSy4ld8lSjj89josnnUDzyCDHGe20hpXzd/PDq+vIzXRttQghhBDWSEAtmixH46ab5Wsmf1VK/13Wg+mY++4j9sEHUD7GTyv1QA4/zlzP9y+vJTkx26V6+gX6MvD8jox9agjHjWiLj6/8bIXwpHG9xzGszTCH6XZl7mLaqmleqJFo6MLOPpuOc2YTEB9vOU9pZib7brqJlLffpmWH5ox5dCAd+1U9uWV1DmxNZ/azq9if4PrqEUIIIWomZ+ZVUEpNU0pp021UNenGVUpX022cm+oWrZR6Sim1QSmVZb9tsD8X5Y5tNBXvbHiHlYdXVvlai2zNk5+V0r3moZTlfHxo9dSTRN98E0opctIL+euTLcx+ZiV7N6a6VD9ln7l77FNDGHR+RwKCZLJ7IbzBR/nw7PBniQpyfEj9Zvs3/LTrJy/USjR0gV26ED93DqGnn2Y9k9Ykv/Iq+yfchb+tgHNu7cPwy7ri42u9i1J+VhHfv7qOFfN3We42LoQQwjqvnKErpf6qRXattXbiv0/tKKWOB+7z1vacoZQaDHwHVJ46tI/9Nl4pdZHWuuooURy1/NBy3l7/dpWvtUozWqZjM62Vpfz9aTNjBmFnnUlhfglrf93L+j/3UVJsc7l+HftFM/TizrRo1czlMoRo8PLSIHMfBDaH0FYQYL3LbG1FB0cz9eSp3PL7LQ6X0ntq+VP0ie5D+7D2XqqdaKh8mzen3WuvkfreLJJfecXy8os5f/7JnsvG0G7m6/Q7rQutOofz63sbrQ8h0rD6//ZwaEcGZ9zQm2bh1mcQF0IIUTNvNXmNwlgUqKZLqpX/q6hqnvcYpZQP8C7G55IExDqR/SzgYA2v769F1VBKtQfmAzFACfAS8KP95fMxLgK0BuYrpU7UWtdqe41ZSn4KDy2qetx0/GHNI7NLibA4LNInJIR2b8wkaOBgNvy9j1X/t4eCHGtrj1alZccwhl3ShTZdIlwuQ4gGRWvIOggpWyF5W8W/ucnl6Xz8ofOp0Psi6H4uBEd4vGpD2wzlxj43Muu/WTWmyy3OZdKiSXx6zqf4+/p7vF6iYVM+PkTfcjNBvXtz8P77Kc20dvW2aM8edo+5nDbPPUvLs8/m8kcH8tenCexam+w4s92BrRnGLOA39KZ9z0hX34IQQggTbwXUi3AcGDcDugAR9rTbgEOerdYx7gIGAgnAt8DDTuTdprXe44lK2T2LEUwDXKW1nmt6bbFS6l9gNsZFgGeAcR6sS4NVaivloUUPkVpwbDfsnomaB+eVEmJx/hbfiAjavfsOB4tbsezJFWQl57tcr/CYYIZe3JlO/WNQMtuYaIxKSyB9jz1g3gop2+x/t0ORhfkFbMWw/Vfj5uMPnU+B3hd7PLi+/fjbWXV4FeuT19eYblPqJl5d8yoTB070WF1E4xI6/CTiv/6afXfeSVFCgqU8Oi+PA/fcS/4N/xF7372cffNx/LdgP0vm7cBWaq39IT+7mB9eW8eAc+IZeH5HmQVcCCFqyVvLZo2ymlYpdS7wGhAJ3Ki1XuKpelXabhzwtP3hrdSjtbOVUq2Aq+0Pf60UTAOgtZ6jlLoBo6X8GqXUQ1rrw96sZ0Pw7n/vsuLwsWuCnrjdxr3f2ggotVaOX6tWBDz5Bj/9nMeR3Rtdrk9wc38GnteRXie3wVcmGxONQVEepO4wBcz2Fue0nVBa5J5t2Iph+2/GrSy47nUR9DgXgt279q6/jz/TRkzjsvmXke0g8P9488cMaj2IEe1GuLUOovEKaNeWVh9+wH93TiD8338t50v74AMKNm2i7Usv0veU9rTqZHQBz0pxogv4T3s4uD2DM2/sTbMI6QIuhBCuqnezHGmtf1JKrQHWAN8qpfprra1ODVUbbwChwMda64VKqXoTUAMXUD6B3Ic1pPsII6D2sed517PValhWHFrBW+veOub5kRts3PqTDV+LgwuKug1g5ykT2Pul69cr/Px9OP6MOPqfEUdAcL37GQrhWF6aKWg2Bc8Z+/DiSJ2KwfV8zwTXbUPb8uSwJ7lvgePpNSb/M5l5F8wjNsSZEUOiKfMJCuLIZZdSENeelvN/hJKa10Avk7diBbsvuZR2r71KbN++jHlkIH9/msBOJ7qAH9yewexnV3L69b2I6yXzmgohhCvq5Zm81vqwUuplYBrwAHC3J7enlBqDMQ45DaiP/fWGm+4vrCGd+bWTkID6qJT8lCrXmz5/hY1r/7I2eVhhQBiJJ1zD/uBe6K05LtVDKeg5rDWDRneSFgFR/1kd31xfVA6uO40yuoW7Ibg+o8MZXN79cmZvnV1juvTCdB5e/DDvnvEuvj6+tdqmaEKUInPIEPpdeCEpDzxISVKSpWwlhw+z9+qxtHxsMi3GjOGsm49j48ID/DNvO7YS613A57++nhPP7sCg8zvK0oxCCOGkehlQ2/1j/3seHgyolVIRwKv2hw9qrVNcLOpDpVR3IBrIAnYAfwBvuaGFvZf9b2ZN3bi11oeUUllAGNCzlttsNEptpTy8+GFS8k1frdZcudDGxcscn3CU+AaS2P509nU4k1Ll53LjW3yfKIZc3JmoNqGuFSCEp9R2fHN9ZCuGHb8bt6PB9UXQ4zyXg+uJAyayJmkN29O315hu5eGVzPpvFrf0u8Wl7YimK6hfPzp+8zUH7rmXvNWrLeXRxcUcfvwJ8jdsoNVjj9FnVDtadQrnl/c2Wp/bQ8O/P++1dwE/jtAWcsFXCCGsqs8BddlguzYe3s4LGMtQLQHer0U5o0z3o+y3wcD9Sql7tNbv1KLsdva/Vmbu3gf0Bpxev0Up1c5BkqPLdeXn55Of7/okXN70/qb3WX5o+dHHyqa5+Rcbp62vOTK2KR8OtR7G7vjzKAoIc3n70e2bMfCCDrTuEg7gls+toKCgyvuicXLb912ch0rbhU/qdlTqNvvf7aj03Sh3jW+uj0zBtZ5/D7b4kyntPprSbudAUIRTRT0z+Bmu+/06Ckpr/h7eXP8mfVr0oX9Mf6erK7/vpuWY77tZM2LefIP0V18j6/PPLZeTOe9r8jdvIXbGdEJbt+aCe4/jn9m72LP+2Ek4q3NoRyazn1nBiKu70K6ne+cjEOXkN960yPddf3gqdlHa4hqI3qaUuht4GUjTWkd7aBsnY3STLgX6a603ml6bAjxhf3iK1npBFfnHAY8B3wDLMIJZgE7AJcCllC//dYvW2qUu2EqpXCAEWKG1HuIg7QpgEJCjtW7u5HYs7wyzZs0iOtojX4tb7SrexYe5Hx7t6u1fornrBxuDt1b/VjWQEt2XnZ0uJC+k8pLf1vkG2wjvXkhwqxJk4m7hTf4lOTQvOEhowUGaFxykeaFxP6QoFeXN8c31nA1fksN6czBiEIfCT6TYz9q676sLV/Nd/ncO04WpMO5sfichPt5bP1s0Ls3XraPlvK/xKba+HGNJs2YcuupK8rt0QWvITfQnIyEQbM79I2reqZCwrkUo6QEuhGgkUlJSGD9+fNnD9u5aZrhetlArpYYCj2PENis9tI0AjDHGCnjZHEw74VuMScwqn6GuAmYrpc7HCLb9gZeVUj+4OPN2kP2vlSakskWfgl3YTqOSY8thTt6co8F0UKFm0tc2+uytPqDIDOvIjs4Xkxne2eXt+vhrmncpJLR9MUqGUApP0Zqg4nQjYC44SGjhwaNBdFBJVl3XziUaRW5gLNmBbcgJakN2UBtyA1sSlp9I24yVROVsdesFAR9KaZm1gZZZG+jHhyQ3783BFoM4FH4CxX7VD804MeBEdpbs5L/i/2osP0tn8W3et1zV7CpZDk+4JPv44yls2Yo2n35KQKq1lma/3FzazXqflLPPJn3kCEI7FBMQUUraumBK8qxHx9m7AilM9yWyXwF+wXIhTgghquOVgFop9biFZD5AC2AARldpH4yA+mUPVesRoAeQCDzpSgFa60wHr/+olHoKYzmuEOBGjPWknVVgzx9gIW3ZwCdX+jQ46ibeCuNiASNGjKBdO0c9xOuOTdu4e9Hd5GQZk4c1z9M8PLuULtVczsgLjmVnpwtIdqF7Zhlff0XvEa3pc1pbAj08c3dBQQGLFi0CjO8iKCjIQQ7RYNlKKDqyjYTF39O84CCdI0rxz9iFSt2BKnJtcry6pv2C0JGdsUV2QUd1RUd1xRbdDd2iI75+QUQAEVXkK8hJwnfb/+G7dT4+icvcH1xnb6Bl9gaO9/HD1uFkSnuMprTrOVWOuT6p6CSu+f0aDuTWPEXGlpItZHbKZEzXMZbrIr/vpsXK9136v4tJmTyZ/EWLLZWptCbm55/pUFRE9JNT8GnWjKLRJSyZs4vda613AS9K9yN9VQQjru5Ce+kC7jbyG29a5PuuP/bvd0uD9DG81UI9BeemclJACfCA1vp3d1dGKdUDeNj+cILWOtfd2zB5F3gK4z2NxLWAOhsjoLYym1VZn0Wnz7QddXswt7AEBwcTHFx/G8Hf3fAuK44Y601HZWomf1VK27Rj0xX5h7I7/lwOth6OdnVGXgU9hrRi0OhONI/0/kEyKCioXn8XwqKiPEjdbppN2z4pWNpOgkuLGFyW7lBdVtJJQeEQ3R1iutn/dofobqiIOJSPL073JA3uADG3w0m3Q/YR2PIDbP4e9i4BbW22fiuUrQTf3X/ju/tv+PUBY0KzXhcZE5qFRBpVCQ5mxqgZXPPTNZTompc5enX9qwxuN5gekT2crov8vpuWar/v4GCavf02KW+9RcrMN4wZ+C3I+/NPDu/eTbuZrxPeqRPn3NyXTYsP8s+c7ZSWWFzhIreE399NoP+ZcQy+sBO+/8/efYc3WbUPHP+epHvRwSq0ZQ/ZCAgoS0VQUURlKIKi4Hj1dQ9U8JXhQhR5VXx/TnCggiIiioKIgIAgq2yRvQt00NLdJuf3x9OWlrZJ2iZp2t6f68rVNLmfPDcU0tzPOec+0gXcqeT/eM0iP+/K5aq/e3dO+bY3301jFI6HMNY1f6C13u2iXB7HGO09CAQopW4rIaZdoftXKaXyF9MuLksBrrU+o5RKwOj+3bCc+R4H6nGhOZkt+aPMx2xGVWMb4zYyK3YWAA3jNRO+tlD7okbFFpMPR6Ov4mj0NVi8yl8Ex7QNp+fNzakdJZ27hYM8Zf9mZwqOhNotCwpm42srCKpLeRoIpGTmsP1YMrHHktgTd57zmbn4epnw9TLh523Gz9uEr5cZP+/e+Eb3IywqiRYJK2lyehl1EzejcF5xjTUX9i83bj8+Bk365m3FNYh2tdvxWJfHeGPTGzZfIseaw9OrnmbeDfMI8Jb11KJ8lMlEnYcewr99e0489TTWFMeWdmQfPMjhYcOJfO1VQq65hnZ9GlKvSQhLP9xJ8hnHJ7NtXXaUU/uTGTCubaVcPBZCCE/lloJaa+1plzPzp0U3Bb5yIP6FQvebAGUd0a7op+TdQBegllKqfmnrsJVSkRhbZgHsqeA5q6SEjATGrx6PVVtpdlLz3HwLIYU+L1iVibj6PTjYeBDZvqHlPk/t6CAuv6U50ZeEVzxpUf1Utf2bHaFMENa4hBHnFsZIdDnlWKzsjTvP1mPniD16jthjSRw4W55JQ22BttQmmWvNf3G9aQPdTXswO95r0T5rLhz4DQ78hmXxo5wM607z+v1pEdCRfenbbB56OOUwk9e9xCu9X8ZskvXUovyC+vShybffcPzhR8jau9ehY6xpaZx4+BEy772XOo89Sp3oYIY/342Vc/eyb+Nph88ddzCZeS//Rf+72tC4g+c3JhVCCHfwyKZk1YlSqg7G6DTAyXK+zBpgdN79vsC8UuL6Frq/tpznqnLatWtHamoqgYGB9JrZi7MZZ2l/yMrTC6z45TVG1UBCRDsONB1CWmBkuc8VFO5Lj5ua0bJbPZR8KK4UM2bMICUlhZCQEJ544onKTaY67t/s5QcRLYxCufCIc3gz8K7YqJTWmuNJGcQeO1dw23kimSwHp546Ip5afGG5hi8s17i0uDZrC9GJ64hOXEdz5c0tUQ1I8bL9+ksOL2bBWn9I7YKft7lgxN23YMTdGIX3NimSE014m2B15h4C/XyKxnuZ8PU241fC1/zX8/O68DX/GJO8Z1UbPjExNP76K069+CIpPyx2+LiEDz8kc9dOGrz5Jj5hYVxzTxsatgzlj/n7sOQ4PgX8p/e20+maGHoMqdgUcI96PxdCiHLy2G2zKpsj22Y5+DoTgJfyvn1Ba/2SrfhSXqM+cAKjUdtSrfW1pcT9AgwErEDDcnYUt5VHFHlTyY8dO+YxTckKr+1uN6cd3f+28sgPVrwtxmMpwY3Y32wI50JblvscvgFedLmuMe37NcTLu/Jbd2dkZLBs2TIABgwYUKPW40RFRXHixAkaNmzosuYSxZS4vvkfSDhg7HFcFZWyvpnQGChvP4GLJGfksP14/sjzObYdP0d8auXsd12bZAaaNzLItN75I9fABj9f7q1fF21niru2+pB26GF0dh2nnt8RPmZTQTFuFOemYoV64a+Fi/fi0+2Lfy3pNXzMUsjbU5H3c601SXO/5PRrr0Gu7bX8hXk1iCTq7Xfwb9cWgPjjqSz9cCfnTqeXKfd6TUIYMK4tIRHl+x1UKe/nHqAm/w6vieTn7TmOHz9OdHRBD+bqvW1WVaCUagyEaa232oi5AWP7LzC6bs8uJW4lF0aXm2itDxd+Xmsdp5SaizFKPVApNVRr/e1FrzEMo5gG+NzZxXRVcfVWK/f+YsUEpPvV5mDTGzlTt2u5X8/kpejQL4ou1zXGL9DbeYkKzyTrm8stx2Ll71PniT2WZEzfPnaOg+Wauu0a8dRirqU/cy39C4rr600b6GHa7ZTiuntmFveeS+GDMNvT35UpG/+GX5F++EHQ7v0VnG2xkm2xcj7L8cLLGXy8TBdG0UsqxL2Kjqr7FhpVL7nQL72ozy/+fb1MNWKrMqUU4aPuwO+S1hx/7DEsZ+MdOi735CmOjBxJ/Rf/Q+itt1I7Kohhz3Vl1Vd7+WeD41PATx9KYf7LG7l6TBuayBRwIUQN5a5ts9oDiwAL0E9rbXOfEaVUQ4zGZAq4Tmv9j+uzLLPGwO9KqT+BxcA24Ezec02BoXm3/N/oT9n7c9sxAbgWqAN8pZTqCvyY99wNwJN5988CEytwnirt/l+sZHsHcrjRtZxo0AdtKv8/8ZaX1aP74KaE1JYridWKrG+usPyp24XXPe86meLUqduuVLi4jiCZa51UXP/rXDIb/X3ZamdLFLPfSXzr/kzW6RvLfa6qJDvXSnauFTLdW8iXpQAvsXC3cRGg8Fdf7/x4M95mVSmFfECXLjRZsIATjz1OxpYtDh2js7M5NWEiGdt3UG/C8/j4+dB/TBsatgxj9df/OD4FPD2XJe9tp2P/aHoOaYbZy9Pa5gghhGu56/L4KIwCdKkjRaXW+oRS6h+MEddRXBjl9UQ9826lSQce11p/UJGTaK2PKaVuBL7H2A96fN6tsDhgiLOmL1QF1ou2yjkccw1HYgZi8Sp/EdywVRhX3NqcOjHBFU1PVCZLLiQdujDaXA3WN1uUN6pOS0x1WxctnsObVnh9sy3JGTlsK7TueduxcySkVc7UbWdLuKi4HmjexCDT+nIV117AtDMJDG1YnxSz7WnzPuFr6ZmRzraU60gq6CUpnCkr10pWrpVkxxtZV5hSFBtx97uo+L64KPdSmhPHTPiYNMfWHiE4wK/YxQBfO1PrvUwK77p1aTRnNqdfn07SF184nPO5efPI/HsPUf/9L97169PmigbUa2x0AU+Kc3wK+Lblx4g7kMyAsW3lQrQQokZxV0HdF2O+5A9lOGYRxojs1XhmQb0Zo9jvCXQFIjGaj3kBScAu4DfgI631mdJepCy01hvyRvsfBYZgXKQAY6uxRcBMrXWCM85VVcyO/bDI9webDin3a0U0DKTnLc2JaRNeI6YKVhs1YH1zVq3GrN59mnSf2gwYeK1L119l51r5Oy7FKJ6PniP2uGdN3XalBGrxpeVqvrRcXVBcX29aT88yFNeRFgtT4hN5rJ79NdL762/ix9wlHMhpzRJrd5ZaukpxXcVpDRk5FjJyLEBZ3n+MUd0lxw6U67wmRaF17z3o09eLkWvn4pPrWA6Z27azZ/DNHPv3BHI7dMbXy0y9Wxuhfo8jcXeSw3mcPpTC/Fc2ctWdl9C0k/v7BAghRGVwV0Gd3w1qexmO2Zn3tZWTc3GI1noSMMnG8+eBuXm3ip6rXxli4zG28XrBXmx1t+nIOkwv/1rh1wkM9aX74Ka06lFfmud4utSzkJM3YpKeCDPb14j1zdaMDNIPLHP66bXWHEvMYOuxpIKR550nU4zpuR5AKWheJ4jWkUaRmZljITPHYow85n01HrOSlWt8zcy14IxemxUprq9Oz+D25PN8Vcv2LJdks5kJdcP4OG4Hfcw7eMnrE9ZZ20pxLcrMqiE920J6ttGNc15YOzb2+jcT//qUyPREh17DO+UcjV4dz8dtB7GwWR/jP6CGdv5m+md4441jvx+z0nP5+f92cKKumZMxfvj6lr4mPi0v36xcY/u8mPAA/H0qv/GnEEKUhbsK6qC8r6llOCY/Vj5RiGL2bdtH7IztZNV+EFhQrtfw8TNz6bWN6HhVNF7yC9yzpZ6B5ZNg29eQcc54LDcTzh2tzKwco0wQ1uTCmmYXr2+2JTk9h9i8rtvbjhvTtxM9aOp2nWBfOkWHFtzaR9UixK9szQC11uRY9IUCu1DhXawQz7WQVSSmaGGeVfC1Hsdym/HfnKH8X3YSXTPW0CtrDZ2tOzFT8sWHJ5OS2OLny15fH5v5bvb344PQEP51LgUvZaWP+UJx/ae1DT9Ze0hxLcrlYGhDHun3GM9smku3M47tV23WVu7buZhWSceY2XkYmV6+7PS1cMrLyuA0H2pbHV8f3fCMBVPCeRYHZJNsLvki1PkMYwQ9KS2bgTNXA8b7QEx4AI3CA4gODzDuRxhf6wT7ygwyIYTHcVdBnYQxHbo+RvMuR9TP+1o1FzsKl0iJz+DP+bvZvz0Z/Mu3DZbJrGjXtyFdr2+Mf5DtD7uikllyYdPHsOJlyEqu7Gxsy9+/uaApWN7XiGbg5ev2dLJzrew5lVJk3fPBeM+Zuu3nbaJDw1A6xYTSMcr42qCWX4U/LCul8PFS+HiZCHbZsvJBxpe0eNizGHZ/jz60GlWop4Ovhuln4xnRoD4ZJttFyP+F1qJrZhbdMrMKHvNSVnqbd9LbvJOXvT9hu3cHVpovZ4W6jNO5wRcuEHjIbALhmVJ9ApjUcyx3/L2MkXuXO3xc3xOxNEo5xdTuYzgZVIcEs+aL4CyuzvCmfbbjHx0jLSbuPO/LLwHZ7PNx7N/q2fNZnD2fxeYjxaea+3mbiA4zCuyLi+2osAD8PGBbSyFEzeOugnofRkF9LbDUwWOuy/tavgVFolpaP38X+7enlPv45l3r0uOmptSqE+DErIRLHF0PPz0Fp3dUdiZFuWH/5rLSWnM0MZ3YY+fYmrfn8+6TKWRbPKPYUgpa1A2iU3QoHfNGn1vVC8bLXMW7AQfWhq53Q9e7UYWKaw79AdpCk5xcJiQkMbFOhM2XsSrFs3Ui+PZEHGHW4j8zM1Y658TSOSeWx9X70KQ3tBkCl9yI1T+CbIu10Gh60a+ZOcUfu/CcMSKfVXhk/qIR/cwSptZn5Vg95t+WsM+qTHx+ybX8ExrNU5u/Iig306HjGp8/zdsr/8v0LrezIbItOQp+CcjhmJeV/une+Dg4BdwPxZB0Xzbn5rLKPwdLBa6ZZeZY2XcmlX1nSp7wWD/Ej5i8ke38Qju/8K4d5COj20IIl3BXQb0UuBy4Tyn1gdZ6j61gpVRb4F6MhZG/uCE/UQVoq5WIJa+yv8F9aJMxDTQ1o+ioZWpGMkH+xafRNmgRyuW3NKdeE5k26fFSz8LyFyG2eHuCbIvmxHlj6uCJ85psi8bH7KIPSG7av7k8zqVnF4w8548+J6V7TgO2uvlTt2NC6RRlTN0OLuPU7SqnUHFNWjz8/SPsWsjgQ3+w3j+NH4MCbR5+xsuLF+pE8M7ps7bLFG2BgyuN209PYmrcC7+2N+N3yY3UCnHfPsBWq84bIXekEC8+7T4z/2uhYr7k6fYXivjMXAs5liraL8EDbIhsy6P9HmXiX5/SJCXOoWMCczOZtGE2X7bsz9xLBmBVJnb5WIgzW7kxzYc6ZZgC3iXbi4YWEz/kTQHXlhwsqUYfVUtqAtqSgzJX7H0iLiWTuJRM/jpcfN14gI/5QrEdHkBMxIX7DcP88fWS0W0hRPko7YzuLfZOolRtjE7UARh7Nd+rtf6xlNjBwPtAPYwtp5pprU+7PElhl1IqCjgGcOzYMaKiotx6fq01T88azBW/tOdkVH+Wbp3L4r9mU7QhleLGy+5mYOc7AAiLDOTym5vRqH1EtboynZGRwbJlRpOqAQMGuLTrs9tYcmHTJ7DipRKnd289ZWHMogy2n74wMtahnok5N/nTObKcH4SKrG9uWahwdv/65tJk5VqIPRzP/OUbOJyqiLcGciTRjfsA2eHvbaZ9VC06Fxp9jnTC1O1qIy2BtF0LGL7n/zjqQNfn8QlJjEopx0onZYbGvaDtELhksFHgV0MWqy5egNso5rMcGHG/+LWyS4jPtVafQt43N4vHtn5DvxOxZTpuY91WvN71DlJ9jBleXhquzvCmQxmmgANkoZmfuocty94k5+zhgse96zSm9qDH8anXrEyv5wxKQWSIHzF5o9ox4QHERAQW3A8L8Hbqe1q1/B0uSiU/b89x/PhxoqOj87+NdtZWw24pqAGUUncAn3Oh+jkIrAFO5X0fCfQGmgAqL26M1vpztyQo7KrsghogPiOeGdPu4/031pCYdrbUuPDguiz+6jd6XNsGU1WfVlqCavfmfHQDLHkS4opP7862aF5encUra7Ipabmolwme7+XDhD6+pY9We9j65tJorTmSkF5k9NnTpm63rBtcMPrcMSqUlvWCqv7UbTfYnbCbO366g1ydazPOS2u+OBlH2+wKzDhQJmjcu9oX1+6Ua7FeGFUvYXS9pNH00qfbX1TYZ+dyNimZXCuYffwK1sZn5lhwWR2vNUMO/MG4XT9i1o6/v5wKCOely+7iYGjDgsfaZJu5xsEp4LmWHJZumcvS2C+xWi3FA0xmavUYTq3Lh1d4tNqZgn29CqaOFym680a3vcv4HljtfocLm+Tn7TmqfEENoJQaDfwPY6Qaiu91k/9unAb8S2v9hbtyE/Z5QkH96quvMmHCBIr+u1U0rd+Wg3G7KPxPSinFyy+/zHPPPef2PF2t2rw5p541unfHlvxfvbRR6ce6+zBzQ3bx0erhdejcob1HrW+2JSktu0jXbU+bul0vJL/rdhgdo2vRISqUIF93rRSqfr7Y/QXTNk6zGxeTk8P8E3EEOuP3szLljVzfDK1vhCDZG9jTlPZ+rrUm16pLHU0vKN7LOApfuOiPOvI3d/36ASGZjs+KyDJ58XanYayI6VLwWLhFMdjOFPBj8fv44vfXOZF4sOCxuhFN8e06mLgt33vMaHVZmRQ0CPUvaJBW0Cwt3BjhrhVQ/MJAtfkdLhwiP2/PUS0KagClVH3gEYw2qe24UERbMfaeXgy8K9O8PU9lFtSJiYl07tyZo0eLbpMUFliX8bf+H8G+QagzvzJlw6fExZ0pEhMTE8PWrVsJDw93W76uVuXfnK2WvOndUyGz+PTukkalLx6Jzq7flZdXZ/DK/A3k5o3genl58fzzzzNhwgR8fDyrg3tWroXdJ1MK1jzHHjvH4YT0yk6rQICPmfYNaxWse+4UE0pkrSr278rDaa15eMXDrDq+ym7soNQ0Xj2b4GDbJwflF9dthhgj11Jce4TKfj/PiYvjxKOPkbHN0U1YDCkDb+LkqPvJ1GajeM/MJXdTIqZDRXcTKGlU2mQyM7DTSAZeegcWLy+W+KSxadPXJK+fb/x+AI8drS6rED8vYiKMAju/2K4fZObwzk2E+sJ1A6vg73BRJpX9f1xcUG0K6iInV8oLyK9yErW2MxdOVKrKKqhLGpVWSvHYA8/SzNqfOme3ojN+IOvF27mz+wOlxlen0eoq/eZ8bKMxvftUyR/e7K6VDm0E170Ora414rduZcyYMWzfvv1CfIcOzJkzh86dO7v2z1IKrTWHE9KJPZbEtmPJbD12jj0eNHXbpKBlveAiXbdb1JWp2+6QlJnE0MVDOZN+xm7s1LOJDEktuZtxhUlx7TE84f3cmp3N6Vde4dzX88p0nH/nzjScORPvenULHtu7IY6VX+4lN8tS4qh0w/CmjLryGaJrtyjyWnU71+ag3zH+O/lJTh26sG92VRqtLiuT0kSFBtCoduCFZmmFupRX+2aONYQn/B8XhmpZUIuqpTIK6rVr19KrV68ij+WPOIeFhnHm6Hm8//qZ9e19ubb1YEzKKAhKG9Fes2YNV1xxhcvzdrUq+eacFm9M795aeluEs2lWGs1MJSPv0lqRUWkfP+j9BFzxKHgX/fNmZ2fz8ssv88orr5Cbaxzs7+/PkSNHqFPH9YVCYlp2wahz7DFj+vY5D5q6XT/Er8i65w5RtQiUqduVZmPcRsYtG4fVztpVb7z5usnttDyyDg6uMjp8u4IyQaMrjGnhUly7nSe9n5/7biFxkyahs7MdPsZcpzZRb71FQNeuBY8lxaXxzcw/+PebQ8jJNfZXLzwq7VXKiHPt6CCuvLMlsz56q8j7uZ+fP3OW/cV5AjiSkM7RxHSOJaZzLCm9Wnd+DwvwLnEbsEYRgdQP8cNskuaPVYEn/R+v6aSgFpWuskaoGzVqxNGjR8s1ylx4tLpRo0YcPnzYdYm6UZV6c7ZaYPNs+G0qZJ6zG/7i75lMWZ1ddFS65bVw7WsQ3sTmsYVHq1988UUmTZrknD9DIVm5FnadTClSQB/xsKnbHaJq0Sk6LG/9cyj1a/lVdlriIv+L/R/vbXvPblyL0BZ8dcNX+GalFWzF5Z7iekhecV3X7iGiYjzt/Txj5y5OPPIIOSdPOn6Qlxf1nnmGsNGjCrph52ZbGHvbI3y28L1SR6VL4u1n5spRrUk1n7T7fm6xauJSMjmaYBTYRxLTOJqYwdHEdI4mpHlUTwpn8zYrosKKNkgr3DBNLpp6Dk/7P16TVemCOm/d9Ct5376gtT5hJ74hMBWjw9TTWuviGwoKt6usgjoxMZGrrrqKFStWlGsddEWP90RV5s35+Cb46YlSp3eXJNuieX9TDvd39cYnojFcNw1aXef48dnZvP/++9x///0VXketteZQfFqRdc+7T6V4zIhI/tTtzjGhBdO3W9QNllGLKsBitTBu2Tg2nd5kN/b21rfzfPfnLzyQnphXXH9v7EctxXWV5onv57lJSZx88inS1q0r03EhN9xA5NQpmPL+DNnZ2Ux9fjqRmd3RuY4vKfHxMzPqpZ6YfajQ+3lKZg7HEtM5mjeqXfh2IimjWm2HdrHaQT4XOpNfVHTXC/bDJL8n3MYT/4/XVFW9oH4amAbEaq0vdfCYLUBH4HGt9duuzE84xhO6fAuDx785pyXAb5Ngy2flO97sC70eh16PFZve7UqJadnEHksi9lhyQRGdnOE5IxyhPprLmtWlS+MIOkaH0r6hTN2uyuLS4hi2eBjnss7ZjZ155Uyujrm6+BOFi+tDq8DqolYkUly7jKe+n2uLhbP/fZuEDz4o03G+rVoR9c7b+MTEFDx27nQ6v3y4k4TjjvUEGHhvO5p3ce2/sVyLlVPJmUUL7UKFtye99zubj5eJ6LD8zuQXmqU1igggOiwAfx/P2xWjKvPU/+M1kasKand9EhuAMdr8bRmOmQd0Aq4DpKAWoiqwWmDLp7B8skPTu0vUYoAxKh3e1KmpXSwzp/jU7aOJnjN1O9DHTIe8bttt6gWQtH8rtXxgwID28su4mqgfWJ+XrniJf6/4t93Y/6z9D23C2xAZFFn0iYBwuPRO45aeCH//ZEwLd3Zxra1w+A/jtuRpo7huc5NRXAfXc955hMdQZjN1n3gcv/btOPXsc1jT0uwfBGTt3cuhocNoOP11gvr2BSC0XgBDx3dhzTf72bXa5iRF2veLcnkxDeBlNhGdtya5pM4qyek5BcX1kcQ0Y6Q7MZ0jCemcPJfhuj3C3SA718qBs2kcOJsGnC32fJ1g3yIN0mIKreGuE+xbMK1fCGFwV0HdLu/rX2U4Jn8eXAcn5yKEcIXjm43u3Se3lu/4WjEXpnc7+Ze11ao5lJBWpHje42FTt1vVD6FTdCid86ZuN68bVDB1OyMjg2VH7byIqJL6Rvdl1CWj+GJPyXux50vJTmH8H+P5ZOAneJlK+dUdEA6XjjZu+cX17u+NaeGuLK4b95LiuhoLueYafJs15/jDD5N94IBDx1hTUjj2wL+o/dBD1H7wXyiTCS9vM/1GtqJhy1B+/+JvcjKLL1WoExPMFbc2d/YfoVxqBXjTPqAW7aNqFXsux2Ll5LmMggK7cLF9NDGd1KyqvWnN2fNZnD2fxaYjScWe8/M2FUwfL+hMnldsR4UF4Octo9ui5nFXQR2R97X4ZbDSxV90rBDCE6UlwG+T86Z3l6NANfvAFY8ZU7x9ApySUkJqFtuOnyP26Dm25k3dTsn0nA84DWr5Gfs9R4fSKTqMdg1DCPCRqds11eNdHmfz6c3sSdxjM27rma38b9v/eLjzw/Zf1F3FNbr4yHX+tHAprqsN36ZNaDxvHqcmTOD80qWOHaQ18e++S+bOnTR4fRrmkBAAWnStR53oYJZ+tJP4YxemgPv4mRl4b1vM3p6/fZ+32USjiEAaRQTS+6I+a1przqXncCTxQjfyIwlpefczOJmcQVXuB5yZY+Wf06n8c7rk6fv1Q/yKNUjL71IeEegjo9uiWnLXJ7hUoFbezVEheV8d37tBCOE+VotRRP82GTKKX8V2SPNrjFHpiPLvL5o/dTu2YPQ5iWOJGeV+PWcL8vXK67odWnCrGyJdt8UFPmYfpvedzvDFw0nPtb3s4MPtH3JZ/cvoHtnd8RNcXFzvXZLXLXyl84vrI2uMmxTX1Y45KJCGM98i8ZNPOPPmDLDa3vYtX+rKlRwaOoyod97Gr1UrwJgCfuszXVj77X52rjKmgF85+hJq1XHORdXKpJQiLNCHsEAfOkWHFns+K9fCgbhz/LB8LfFZEFSvMSdTsguml6dnu6jJoJvEpWQSl5LJX4eL9xMO8DGX2pW8YZg/vl4yui2qJncV1McxiumewGoHj8lf0mJ7sY0Qwv1ObIafnoKTW8p3fK0YuPZVaD2oTNO7tdYcjE8j9mjRqdue0qnVbFK0qhdcMPrcOTqUpnWCpOu2sKtRSCMm9pjI82uetxmn0Tz7x7N8e+O3RPiXYwJXQDh0HmXcCorr7+Hg71JcC7uUUkSMHYtf27acePwJLEmOXUzNOXqUwyNuI3LqVGrdeAMAXt5m+t7eioYtwzhzJMUt66Y9ga+XmSYRAVwSZvzeGjCgRUFfDK01CWnZxRqk5d+PS8mszNQrLD3bwt9x5/k77nyx55SCBrX8iQ4v3iwtJjyAsABvGd0WHstdBfVKjHXUDyul/qe1TrEVrJQKAf6NMX90pcuzE0I4Jj3RGJHe/Cnln979KPR6oszTu1f8fZrXf9lb4i/iytIw1P/CyHNMKO0a1JLuqKLcbmx2I+tPreeHAz/YjIvPiGfi2onMunoWJlWB6bGVVlxfDm1vluK6Cgvs0YMmC77l+KOPkbljh0PH6MxMTj79NJk7d1D3qadQ3t4ANO9St8YU0/Yopagd5EvtIF8ujQkr9nxmjoXjSYWL7AyOJqYVFN6ZOY7NGvBEWsOJcxmcOJfB+oPFR7eDfb2KdiMvdL9BqD/eZs9fKiCqL3cV1O8DDwGRwE9KqaFa69MlBebtWf0N0ACw5h0rhKhMVits/QyWTyr/9O5mV8P108s1vfuXnad46MutWCpxJDrY14sO0bUK1j13jK5F3WCZui2ca0L3CcSeieXoedtd6NacWMPnuz/nrrZ3OefEhYvrjCT4O39auCuK67XGLb+4bjME2gyG4PpOPI9wNe8GDWj0xeecfuklzn3j+CYuiZ9+Ruau3TR8awZedeq4MMPqx8/bTPO6wTSvG1zsOa01Z89nXehMXrhZWmI6Z89nVULGznM+K5fdp1LYfar4mJxJQYNQ/4JO5AXFdnggMeEB1ArwroSMRU3iloJaa71LKfVf4DHgcmC/Umoe8AdwKi8sEugDDAcCMIa/ZmmtY92RoxCiFCe2wJKnjGne5VErOm969w3l6t59LDGdp77Z7tZi2mxStK4fXDD63DkmlKa1gzDJ1G3hYgHeAbzS4xXu+vUuLNheSzlz80y61OtCu9rtbMaVmX8YdL7DuOUX17u/hwO/g9WZe/MWKq5/fkaK6yrI5OtL5NSp+HXowOkpU9E5jv37SN+0iUO3DqXhf2cS0Lmzi7OsGZRS1A3xo26IH10bhxd7Pj07l+NJGQWdyC90Jk/jWFIG2blVd3TbquF4UgbHkzJYS0Kx50P8vGgUEVikQVr+VPLIWn54yei2qCB3tpV9CmMd9d1AYN7Xu0uIy//E+hFGAS6EqAzpibBiKmyaTbmnd1/+CPR+stzdu61WzVPfbHP5FiQNQ/3pFGOsee4UHUpbmbotKlHLsJZc538dP2b8aDMuV+fy9KqnmX/jfIJ9io9YOUVlFddN+sA1k6GBFFtVQdiwYfi1asXxRx4lNy7OoWNyz5zhyJ13Uf/55wi97TZZH+tiAT5etKwXTMt6xd8rrFbNmfNZhbqRpxfpUh6fWrX7A6dk5rLjRDI7TiQXe87LpGgY5l90G7BChXewn4xuC/vcVlBrra3AWKXUImA80IMLxXNBGLAWmKa1tv1JQgjhGlYrbP08b3p38XVMDml2FVw3HWpXbD/Rj9ccYsOhcuZQimBfLzoW6rjdMTqUOsG+Tj2HEBXV3ac7B3IOsCfX9lZax1OPM+XPKbze53XXFyQXF9d7fzamhbuiuD60Cj64Evq/aGyrJ8WWx/Pv0IEm3y3gxBNPkr5+vWMH5eQQN3kKGdu2U3/Si5j8ZBlNZTCZFPVr+VG/lh/dmxZvdpialVswol24WdqxxHSOJaWTY/GMxqDlkWvVHEkwpsiXJCzAO68jeSAxeQ3TYsIDiYkIoH6InzQdFYB7R6gB0Fr/APyglAoHOgG1856KB7Zqrcu5QFMIUWEntxrdu09sKt/xIVHG9O5LbqzwB+C/41KYvnRvhV7Dy6RoHRlcsO65U3QoTWsHytRt4fGUUtwccDOJuYmcTi+x5UiBXw7/Qs8GPbmlxS1uyg6juO400rgVFNffw4EVTiyutXFhLy0eBrwkRXUV4BUeTsxHH3LmrbdI/PgTh49L/v57Mv/ZS9Tbb+MTFeXCDEV5BPl6cUlkCJdEhhR7zmLVxKVk5hXa+Q3SMjiaN9qdlO7Mi23ul5SeQ1J6MtuOFx/d9jYrosICSt0KLNDX7WWWqCSV9pPWWicCK+zFKaU6aq23uSElIWqu9ERY8RJs+oRyTe82ecPlD0Ofp8AnsMLpZOVaeHzeNrItZVvTFRXmX2Tdc9sGtfDzlqnbomoKMAUwtftUHlj5AFZt+//CqxtepWOdjjQLLf+e7uVWpLg+d6FbuLOK6z/fNYr2G98Gs3xA9XTKy4t6Tz+Nf/v2nHx+Ajrd9t7q+bJ27+HwrUNp8OabBPW6wv4BwiOYTYqGof40DPWnZ7Pio9spmTkcvahBWv79E0kZHrPtZXnkWDSH4tM4FJ9W4vO1g3yIDg+gYS1fchJNRPhpwo4k0TJSUTfYVy7uVyMe+ZtJKVUPGAWMxthuyyPzFKLKs1oh9gtjFCi9eCMPhzS90ujeXbuF09J669d97Cmhk+fF2jUM4cpWdQumbtcOkqnbonrpVKcTD3Z8kHdj37UZl2nJ5KlVT/HVoK/w86rEabP+oRcV1/nTwitYXMfONYrqoZ+At7+zshUuFHLttfg2b87xfz9M9uHDDh1jSU7m2L33UufRR4m4716USZpFVXUhft60a1iLdg1rFXsu12LlVHJmQVfyi5ulpWS6tn+Kq8WnZhOfms1WAIx/y18eML7z8TIRHVZ8z+1GEQFEhwVIH5cqxmMKVaWUH3AzcCdwNWDGWGNddS9dCeHJTsbCT09WYHp3w7zp3YOdOhVz4+FE3l99wG5cdLg/X9/XkyCZUiWquXHtx/FX3F/8FfeXzbj95/YzfeN0Xuj5gpsys8M/FDrdbtzyi+vd38P+38pXXO9dAl8Mhdu/BL/iH86F5/Ft3pzG337DyWefJXX5b44dpDWJX3xB6PBheIUX71Ytqg8vs4novAZgV5TQciU5PSdvVLtQs7S8wvvkuQyq8OA22blWDpxN48DZNOBssefrBPsWa5CWP5W8TrCvNPHzMJX+SVQp1RejiL4VyG89mP+v5BywuBLSEqL6ykgypndv/JjyT+/+N/R52inTuwtLzcrlifmxaDtpKQUzhneSYlrUCGaTmVd7v8rQH4aSlGW7zcj8f+bTo0EPrml0jZuyc1BpxfWBFWApQwfhI2tgziAY9R0E1XVRssKZzEFBRL39NgkffsTZmTOx+wbv5UXUzLekmBbUCvCmfUAt2kcVv4CWY7FyIimjoEHaxQ3TXL07iKudPZ/F2fNZbDpS/D3fz9tUUFwXdCbPK7ijwgJkqVslqJRPo0qplhjTuUcBMfkP531NAL4HFgDLtdZV+3+EEJ7CaoVtX8Kv/6nA9O5+cP0bTp3eXdjUxbs5lphhN+6Bvs3oVsI+m0JUV3UD6vJSr5d46LeH7Ma+uPZF2kS0oWFQQzdkVg6Fi+vM5AvTwvf9Ctr23tsAxO2ATwbC6O8hrJGrsxVOoEwmat9/H35t23LyySexJBdv8JSv3jNPE9C1qxuzE1WRt9lE49qBNK5d/MK+1pqkvNFto9BOK1J0n0rJtHtdx5Nl5lj553Qq/5xOLfH5+iF+xRqk5d+PCPSR0W0XcFtBrZQKA27HGI3ulv9woRANTACma+3Ib1QhhMNObTO6dx+3PWW0VCENYeAr0OYml3XaXbYrjnmbjtmNuyQyhMf7t3RJDkJ4sj5RfbirzV18uvtTm3Hnc84zfvV4Zl87G2+Th++h6lcLOt5m3PYth3mjINf+RTUSDxpF9ajvoF4b1+cpnCKo1xU0XrCAE488Qubu3cWeD7nhBsJGj66EzER1opQiPNCH8EAfOkWHFns+K9fCiaSMCw3SEoo2S0vPrtplSFxKJnEpmfx1uPi2o4E+5oL12hcX3Q3D/PH1ktHt8nBpQa2U8gJuwCiirwe8uVBE5wBLgc+BeXmPHZRiWggnykiCFS/Dpo/BTpfgEpm8oGfe9G7fIOfnlyc+NYvnvtthN87HbGLmiE74eEmjGlEzPXrpo2w6vYldCbtsxm07u433Yt/j0UsfdVNmTtCiP9z1A8wdBpnn7MefPwWzr4M7voHoy1yennAOn6iGNPpyLnGTp5C8cGHB474tWxI5ZbKMngmX8/Uy07ROEE3rFP9co7UmIS2bI4U7kxe6H5eSWQkZO09atoW/487zd9z5Ys8pBQ1q+RMdXkKztPAAQgO85f9nKVxSUCulLsMookcA+fMy838CG8grorXWCXnx84q9iBCi/KxW2PZV3vTu+PK9RpO+RvfuOq2cm9tFtNY8u2AHCWn211E+PbAVreoH240TorryNnszvc90hv04jLSckrdqyffxjo/pVr8blze43E3ZOUH0ZXD3z/D5zZAaZz8+8xx8dhMM/9woyEWVYPLzI/KVl/Hv2IG4l1/B5O9P1LvvYAoIqOzURA2nlKJ2kC+1g3zp0iis2POZORaOJ6WX2Jn8aGI6mTnlGLzwEFrDiXMZnDiXwfqDxUe3g329ijRIK9yZvEGoP97mmjvY4fSCWim1B8ifj5lfRO8H5gJfaK3tt+8VQpTfqe2w5Ck4tqF8xwc3gIEvQ9ubXTa9u7D5m46xfM9pu3E9moYztlcTl+cjhKeLDonmxZ4v8szqZ2zGaTTP//E83w7+ltr+td2UnRPUawNjlxpFdeJB+/E56fDVCLj5fWg/1PX5CadQShF22234tW6NJTUNn5gY+wcJUcn8vM00rxtM87rFL+5rrTl7PqtYsX0oPpUDcedIyanao7vns3LZfSqF3SVsa2pS0CDUv0ix3Sg8sGA6ea0AD19+VEGuGKHOH85KBT4F5mqt17vgPEKIwjLOwe8vw8aPKjC9+yHo84xLp3cXdjQhnSmLi6+ju1iwrxdvDOuIyVS1fxkJ4SzXNbmO9afW892+72zGJWQmMGHNBP7X/3+YVBUaPQhrDPcshS9uMZqQ2WPNhQXjjGUul93r8vSE8/h36lTZKQjhFEop6ob4UTfEj66FGqdmZGSwbNkysizQqsvlnEmzFmuWdiwpg+zcqju6bdVwPCmD40kZrKV449ta/t4FxfXdVzQu8vdTHbhqDbUGAoHuwD6l1EGt9RkXnUuImk1bITave3da8b0MHdKkj9G928XTuwuzWDVPzI8lzYHmH5MGtyUqTKYCClHY+G7jiT0Ty8Fk26O4606uY86uOdzT7h43ZeYkQXVhzE/w1e1wZK0DB2hjdk56AvQd75YZNkII4ShfM7SsG0RHf/9iz1mtmtPnM4ts/VW4M7kjy+I8WXJGDjtOJLPjRDK3XOqhO1BUgCsK6k8x9pQOArrk3d5QSv0GfAEs1Fqnu+C8QtQ4IelH8Zk7BE6Us3t3cGTe9O5b3P7h84PVB0vcX/Fi17atXy3ffIWoqADvAKb3nc7tP95OttX2h613trxDl3pd6Fino5uycxK/WjBqAXx7D+xd4tgxK181iuprp4GpCo3KCyFqLJNJEVnLn8ha/nRvGlHs+dSsXI5d1CAtvzP58aR0cixVZx+wmPDqN0Di9IJaa323UupBjKJ6NHB13nkG5N3SlVILMdZU/6p1eeamClHDZSbT7vgXND37K4pyvImavKDHg9D3GfB1f5OvXSeTmfHrXrtxtYN8eeWW9tJVUohStAxryfjLxjN1/VSbcbk6l/GrxzP/xvmE+IS4KTsn8fY3mo798DBs+9KxY/76wJj+PeR/YK7ea/eEENVfkK8Xl0SGcElk8fdvi1UTl5LJkYS0EjuTJ6XnVELGpYuWgtoxWusMjNHoL5RSkRiF9SigHcZU8Dvybqelw7cQZaA1bPsav2UTaVbe7t2NexvTu+u2dm5uDsrMsfDEvG0OXU19fWh7wgN93JCVEFXXsJbDWH9qPb8e+dVm3InUE0xeN5k3+r5R9S5Smb3gplkQEA5/vuvYMTu+MXpLDP8MfKrfBzghhAAwmxQNQ/1pGOoPzYo/n5KZw9G8AvtI4oVmaUcS0jlxLgOL1X2j2/VCfPHzrn57Xbt0H2oArfUp4HXgdaVUZ+Au4DagLlAfeAQKhthuUkrt01pvdXVeQlQ5cTuN9YFH/6RcH4WD6hvTu9vdWqlrC99ctpe9p4vvf3ixkd1juKp1PTdkJETVppTixZ4vsit+FyfTTtqMXXZkGd/u+5ZhLYe5KTsnMplgwEsQEAG/TXbsmP2/wudDYOQ88C++BY4QQlR3IX7etGtYi3YNaxV7Ltdi5VRyZrHO5EcS0ziSkM75zFyn5lIdp3uDGwrqwvIK5a1KqSeBazGK6xsB37yQ24DblFKHgQXAt1rrci4OFaKayEyG3181pjBq+w28ijF5QfcHoN+zlTK9u7A/DyTw0ZpDduMaRwQw4fpL3JCRENVDLd9aTOszjTG/jMFi531i2l/T6FSnEy3CWrgpOydSCno/YYxU//i4YzsaHNsAs6+HUd9BSKTrcxRCiCrCy2wiOm+bqyuaF38+OT2HI4lpRRqk5d8/eS6Dsg5ux4QHOidxD+PWgjqf1toC/AT8pJSqhVFIjwYuzwtpAjwJPKmUOq61blQZeQpRqbSG7fNg2QuQVs4m+Y17w/XToW7lF6cpmTk89c02tJ03X5OCGSM6EehbKW9PQlRZnep24t+d/81/t/zXZlyWJYunVz3NVzd8hb9X8W6zVUKXMcaI84JxYHGg++2Z3fDJQBi9ECJKmBMphBCimFoB3nQICKVDVGix57JzrZw8l1GsI3n+/dSs4qPbMkLtIlrrZOB94H2lVFOMUes7gKZ5IVGVlZsQleb0LvjpKTi6rnzHe8j07sIm/7CbE+cy7MY9dGVzLo2RqZlClMc97e5hw6kNrD+13mbcgeQDTPtrGpMun+SexFyhzU1GF/Cv74DsVPvx547AJ9caXcMjO7g+PyGEqMZ8vEw0rh1I49rFR5211iSl5+RNJb/QLK1Lo+r5+a7SC+rCtNYHgReBF5VSvTCK66GVm5UQbpSZDCtfgw3vl296tzJDj38Ze7D6eU4n3593nGLBluN249o1DOGRq6vgNFQhPIRJmXi196vc+sOtJGYm2oxdsG8BPSJ7cG2Ta92UnQs07Qd3/QBfDIUM239ewJjtM2cQ3P41NL7C5ekJIURNpJQiPNCH8EAfOkWHVnY6LuexGzRqrddore/FaFwmRPWmNWyfD+92g/Xvla+YbtQLHlhjjEx7UDF9JiWT5xfusBvn62XireGd8DZ77NuSEFVCbf/avNrrVYdiJ/85mWPnj7k4Ixdr2AXuWQohDu5Xn5UCX9wCe392bV5CCCFqBI//5Kq1zqrsHIRwqdO7jRGT7+6F1NNlPlwH1oVbPoIxP0K9Ni5IsPy01oxfsN2hPRDHX9uaFvUqt2maENXF5Q0v5+52d9uNS81JZfzq8eRYPGuf0jKr0xLGLoPaLR2Lz800porHfuXavIQQQlR7Hl9QVwal1DSllC5061dKXIBS6hal1P+UUhuVUklKqRylVIJS6k+l1CSllFNG2JVShy/KqbTbYWecT7hBZgr88jz8Xy84srbMh1sxsb/OQDLvXQsdhnnMWunCvvzrKL/vPWs37ormEYy5vLHrExKiBnm488N0qG1/rfCO+B28s/UdN2TkYrWi4O5foMGljsVrC3z/APw5y7V5CSGEqNakoL6IUqoT8IQDcR2A0xjbez0AdAVCMdalhwM9MNaD71VKjXBRuqIq0hq2fwPvdoX1s8o1vdsS1YOVraeyK+qOSt8KqzSH49N46cc9duOC/byYPrQjJpPnXRAQoirzNnkzrc80gryD7MbO3jWbNSfWuCErFwuMMNZUN+nr+DFLn4ffpmB3CwIhhBCiBFJQF6KUMgEfYBTF9vYpCgHyP6WsBZ4DrgEuBQZidC635sXNVUpd56Q0FwHtbdwGOOk8whXO7IE5N8B348o1vZvAunDzB2SPXMh5/2jn5+ckuRYrj8+PJSPH/sWCl4a0o0FoFd26RwgPFxUc5XAn7wlrJnA23f6MEo/nGwx3fAOXDHb8mD/ehB8fA2s5+lcIIYSo0aSgLuoRoBvwN/CxnVgrMB9oq7XupbV+TWu9XGu9VWu9TGv9AHALoAEz8I5STpmTe05rvdPG7R8nnEM4W2YKLJ0A/7sCjpRjFEiZoceD8PAm6DjCI6d3F/Z/qw6w9eg5u3GDOkQyuGMD1yckRA02sPFAhra0v2FGYmYiz/3xHJbqUFR6+cKwOcZ+1Y7aPAe+vRtypXWLEEIIx0lBnUcpFQNMzfv2ASDbVrzWep3WeoTWereNmEXAd3nfNgM6OyNXUYVoDTu+Nbp3//lu+bp3x/SE+1fDta8ae656uB3Hk5m5fJ/duLrBvrw8pB3Ouc4khLDlmW7P0Dy0ud24DXEb+GTnJ27IyA1MZrhhJvR+0vFjdi+CucMg67zL0hJCCFG9SEF9wSyMKdyfaq1XOfF1fy90v5kTX1d4ujN74NMbYcFYSI0r+/GBdeDm9+Hun6F+O+fn5wKZORYenx9LrtX+WsTpwzoSGuDjhqyEEP5e/kzvMx0/s5/d2Fmxs9h6ZqsbsnIDpeDq/8CAlx0/5tAq+HQwpCW4Li8hhBDVhldlJ+AJlFLDgRuAROApJ7+8b6H71WAenbAr6zysmgbr/wfW3LIfr0xw2X3Q7znwD3V6eq407Ze/2X8m1W7cnT0b0bdlHTdkJITI1zysOeMvG8/kPyfbjLNoC+NXj+ebG7+hlq/nz4pxyOX/hoAIWPSQYzOFTm6B2dfC6IVG93AhXEhrTVpaGikpKWRmZmKxyMfF6sRqtRIREQHA0aNHMZlkPLO8zGYzfn5+hISEEBgY6DGzHN1SUOdNpwY4obVjc17zGoRFAWitj7owt1Dgv3nfjtdaxzv5FIVbjdpveWxfH6VULMZotxmj0/hfwFfAIq2lTWml0Rp2LoBlE+H8qfK9RnQPGPQG1G/v3NzcYO3+eGavPWw3rmntQJ677hLXJySEKObWFrey/tR6lh5eajPuVNopXlz3Im/1e8tjPrBUWKfbjYuU34wx9qG2J/4f+HigUVTXcXB/ayHKyGq1cuTIETIyMio7FeEiWmv8/Y3mqxaLBavVWskZVV25ublkZWWRnJyMv78/MTExHnGBwl0j1Icxmnh1AEpdc3yRJsC+vONcmefrQH2MTt32GpGViVKqIzAo79sdWmtnFNRNLvq+cd5tOLBWKTVCa32iPC+slLJ3Gb5gT+2MjAx58y9Exe/F+9fnMR8t+37SADqgNjn9XsDSbpgxQm3n7zYzM7PE+5UlOSOHJ+fH2o0zK8VrQy4BS7a9P6IoxNN+3sK1XP3zHt9pPNvPbudUmu0Lf78d/Y0vdn7B0Ob2G5pVGTH9MA3/Cp9v70RlO7BOOuU4+pOBZA2bi450TRsU+f9d8xT+OZ84cYKcnJyCC1dKKcxmc/W5kCXQWhMQEAAgP9sK0FpjsVjIHztMS0vj0KFDREZGOvx36qraRbljQFMpZcXodt3eVhOvi45phlFQa6212UV59QZWYUzF7qy13lnouUkY+0gDXKm1XlnG1/YF1mDsTw0wWGu9uAK5/oMxwr0M2AkkY+x73RP4F5C/h9IeoKfWOrkc53D4H8NHH31E7dq1y3qKasfLkkHLuEU0O7MUUzlm9GsUh+r0Z0/9W8j1CnRBhu7x2T4Tm+PtXyG8NsrCddEyiUKIynYs9xgfpn6IFdsjJV54cX/w/USaI92UmXuEpB+h54Hp+OWmOBSfa/JjQ9NHiQ9u6+LMRE3i4+NDaGgo/v7+eHt7ExYWhr+/vxRcQpRCa01GRgZJSUnk5OSQkZHBuXPnyM622Uu6QHx8POPGjcv/NlprfdwZeVX+GHnp8t9NXDIvQinlg7HntALeKlxMO8m7XCimP61IMZ3nMq31TVrrWVrrVVrrWK31Sq31q0BbjEIb4BIuXAgQrqI1DZLWc9WeZ2lxZkm5iumEwBasbDWFHVGjq3QxvSVeOVRMxwRqBjSUYloITxDtFc01ftfYjcsll3lp88jWjn1YqSpSAhqxpuULpPk4dmHYy5pJjwNvEnluo4szEzWJr68vJpMJLy8vwsLCCAgIkGJaCBuUUgQEBBAWFoaXlxcmkwlfX1/7B7qYJzcly78c7qq9K54HWgNHAdsdWspIKfUckH/5YyPwUEVfU2t9zsZz5/Maqx0EwoH7lFLPal3mT0DRdp6vj/HnoU+fPkRF1cxGLSr+H7yXP4+5PPtJAzoggpx+LxDQbjg9VPmuaWVmZrJ69WrA+Fn4+dnv3OsKp1Oy+M//NgC2m6/5eZn4vzHdaFK76l44qEye8vMW7uGun3d/3Z/kP5JZH7feZly8NZ6tYVt54bIXXJJHpTp/Ddb5t2GK/9tuqFnn0u3wLHIGvI6l0yinpSD/v2ue/J+5t7c3gYGBmM1m6tat6xFrQYXzWa1WUlONhq1BQUHyc3aCoKAgkpOTCQ4OJjw83OGa5PhxpwxIF+Pugtru8JRSyhuj4daEvIf2OjsJpVRr4Lm8bx/WWqc58bXvB17J+/Zv4Hpnvn5ptNbJSqmvgQeBQIzR8XVlfA2b/8oKXzX19/cvaLBQY2SlwurX4c9Z5e/e3W0c6srn8fEPc1pafn5+lfKz0FrzwpfbSc60/3fx/KBLaBMtSwScobJ+3qJyuPrn/Vqf1xi6eCjxGbb7cS4+vJgroq9gUNNBNuOqHP8mMPYX+HIEHNtgN1xpKz5Ln4Lc89DrcWNbLieS/981i1KqYITay8uTx7iEs5hMJimonSD//01urvEZ1NH3TVe9v7rkf69SqqT5rwrYWcapLBr41ilJFfU44IMxohuglLqthJjCG/9epZTKb8i1uLQCWSl1O/Be3rdHgGtc0DXclsLr0xu68bzVm9aw+3v45Xk4f7J8rxF1mdG9O7KjU1OrTJ+vP8If++z/8+7Tsg6jezRyQ0ZCiLKK8I/glV6vcP+v96PtXPOeun4q7Wu3JyYkxmZcleMfZnTynn8X7P/VsWN+mwzpCXDNVJAPx0IIUaO56nJYaVVzWS/lzgdmViyVEuVPtm+Ksd2UPYXnuTUBihXUSqnBwGcY69JPAVc7a6F7GcgCVWc7+w/8/DQcXFm+4wMi4Jop0HFktfrQdeBsKq8ssd+0vpa/N9OHdpA1YUJ4sJ4NejKu/Tg+3PGhzbi0nDSeXv00X1z3Bd5mbzdl5yY+gXD7V/D9v2DHN44d8+e7kJ4Ig98Bs4wuCiFETeWq3wAXr0l+EaPY+z/gjI3jNJCJUZCu01ofcE16zqWUuhqj+PcCEjBGpisj9zaF7pdzKFUAkJ0Gq6fDunfBmlP245UJut4DV000Rj+qkRyLlSfmxZKZY79f4Ms3t6NeiKwHFMLT/avTv9gYt5HYs7E243Yn7Gbmlpk83e1p9yTmTmZvuPkD4z37rw8cO2bbl5B5DoZ+At4yVVsIIWoilxTUWusiBbVSKr/r9CxHt81yJa31GGCMrRhHt81SSl0OLMIY9U4GBmqtdzkpVYcppWoB+VPX04FN7s6hWtAadi+CpRMgpZwTDKK6wfVvQINOTk3NU8z6fT/bjtvfle2mTg24oUMDN2QkhKgob5M30/pMY+jioZy3sz/zZ7s/o3tkd/pE9XFTdm5kMsF1r0NAbVj5iv14gL1L4ItbjRFuv1quzU8IIYTHcdcc1LuBewB3T4F2KaVUJ+AnjCZgacAgrfXmcrzOSqWUzrs1LuH5a5VSpV76VkoFYYyQR+Q99LHWOqusedR48fvg85vhm7vKV0wHRMDgd+GeZdW2mI49do53Vuy3GxdZy48pg9vZjRNCeI4GQQ2YcvkUh2InrpnI6bTTLs6okigF/cYbF0YdXal2ZC3MGQSptibhCSGEqI7csuhHa/2pO87jTkqpZsBSIDTvoYlAslLKVhVxRmtdnt+2zwJzlVLfAWuAA0AqUAu4HHgAyO8SsxeYVI5z1FzZabD6DVj3Tvmmd6MuTO8OCHd6ep4iI9vCE/NisVjtL9V/Y1hHagVUszWWQtQA/Rv1Z0SrEczbO89mXFJWEs+teY4Pr/kQs8nspuzc7LJ7jenfC+93bGeHuB3wyUCjwVlYY5enJ4QQwjN4TJckpVQ9pdRYpdR4pdRwpVRAZedkR2+gbqHv3wJ22Lk9WIHzhWPsbT0H+APYCqzE2KIrv5hehdEMLbEC56k5tIbdP8C7l8GaGeUrpht2hft+hxtmVOtiGuDVn/dwMN7+DnB3X9GYK5rLFllCVFVPd3ualmEt7cZtjNtot5FZldd+KNw+D7wd/EiSeBA+HginK311mxDiIitXrkQphVKKSZMmVXY61UpqaiqrV6/mjTfeYPjw4TRp0qTg77px48aVnZ7LuWWEWil1CUajMg3cr7U+d9Hzg4EvgcLTmo8rpW7SWse6I0cP9xRwNdATaAXUxhgZT8doPrYBo1v5Mq21dPp2RPx++PkZOPBb+Y73D4drJkOnUdWqe3dpVv1zls/+PGI3rnndIMZf29oNGQkhXMXX7Mv0PtO57afbyMjNsBn7v23/o1v9bnSp18VN2VWCFv3hzkUwd5jRgMye1DiYfS2M/AZiurs8PSGEqGw33ngjK1eurOw0Ko27KoEhwFCgQQnFdF3gCyAAY7FS/i0aWJy3PtjttNaTtNYq77ayhOfnFHre0dukUs7Vr1DM4RKe36S1nqa1HqK1vkRrXUdr7a21rpX3/Rit9VIpph2QnQa/TYH/9SxnMZ03vfvhzXDpnTWimE5Ky+bpb7bZjfMyKWaO6ISfdzWd/ilEDdI0tCnPXfac3TirtjJ+9XjOOVJoVmXRl8E9v0BwpGPxmcnw2U2wz8F9rYUQogorXIKEh4czYMAAgoIqpYSrFO6qBq7GGJ3+sYTnHgSCgFzgCaAj8AxgBRoA97opR1GdaQ17FsOs7vDHm2DJLvtrNLgU7l0BN7xV7ad359NaM3HRTs6ct9/j7rH+LWjXUDrcClFdDGk+hOubXG837nT6aV5Y9wLV/ppu3UvgnqUQ3tSx+NwM+Oo22PGta/MSQohKNnLkSL788kv27dtHQkICS5cuJSIiwv6B1YS7Cur8Nb5bS3juVoxi+zOt9Uyt9Q6t9RvAxxgj1YPdlKOorhIOwNyhMG8UJB8r+/H+4XDjf2Hcb9DwUufn58F+2HaSn7afshvXOSaUB/o2c0NGQgh3UUrxQo8XiA6Othu78thKvvz7S9cnVdnCGhlFdf0OjsVbc2HBONjg4L7WQghRBd13333cfvvtNG/evLJTqRTuKqjzm3cV6XCtlKoNtM379uLfxD/kfW3jwrxEdZadDr9Nhfd6wP7l5XgBBV3uNqZ3dxlTI6Z3F3byXAYTv99pN87f28xbwzvhZa5Zfz9C1ARBPkFM7zMdL5P9litvbnqTPQl73JBVJQuqC2N+hEa9HDxAw89Pw++vGrOlhBBVUlpaGvPmzWPcuHF06tSJWrVq4e3tTZ06dejbty9vvPEGqampJR77/vvvExYWhtlsZv369XbPdeutt6KUIjw8nMzMzBJjvv/+e4YNG0ZMTAx+fn6EhobStWtXJk+eTFJSUqmvPWbMmCLNwk6dOsX48eNp27YtwcHBKKVq9Hro8nBLUzIuNBvzu+jx/N9G2RjbQRWWPywW6qKcRHWlNfz9E/zyHCQfLd9rNOgMg96EhtW40Y4NVqvm6W+3cT7T/lYxE2+4hMa1A92QlRCiMrSt3ZbHL32c6Zum24zLsebw9OqnmXfDPAK9q/l7gl8tGLUAvr0H9v7k2DGrXoP0BLju9Rp3gVaUXWaOhaOJ6ZWdRqWKCQ/wqL4sgwYNYtWqVcUej4+PZ/Xq1axevZr33nuPJUuW0Lp10Qatw4cP58UXXyQrK4s5c+bQo0ePUs8THx/P4sWLAWMqtZ9f0fIpKSmJoUOHsmLFiiKPZ2VlsXnzZjZv3sx7773HokWLbJ4HYP369dx4443Ex8fbjBO2uaugTsQYpY4BCl+WuTrv6yat9cWLWvNzK/lSjxAlSTgAP4+H/eVsBOMfBle/mNdwzHPexN1tzrrDrN2fYDfuylZ1GHlZjN04IUTVNrrNaDbEbWD18dU2446kHOGVDa/wcq+X3ZRZJfL2g+GfweJHIHauY8ds/BAykmDI/8DLx7X5iSrtaGI6A96y/f+tulv2eB9a1guu7DQK5Obm0r59ewYPHkzXrl1p0KABWmuOHDnCwoULmT9/PocOHWLIkCHExsYWKYTDwsK44YYbWLBgAV9//TVvvfUW/v7+JZ5n7ty55OQYW7nec889RZ7Lysqif//+bNmyBbPZzMiRI7n++utp0qQJOTk5rF69mhkzZnDmzBmuv/56tm7dSqNGjUo8T2pqKrfeeiuZmZlMmDCBa665hoCAAHbs2EFkpIMNGAXgvoJ6G3ANMBKYD6CU8geGYayfXlHCMfk//dPuSFBUcdnpsOYtWDuzfA3HUNDlLqOYriENx0qz7/R5pv3yt924sABvpg3tgFLKDVkJISqTUoqpV0xl6A9DOZtx1mbsDwd+oHtkdwY3qwEtUMxecNMs4/fGunccO2bnt8b2W8M/A59qPpIvRDUye/ZsWrRoUezx7t27M3z4cMaOHcvAgQPZu3cvc+fOZezYsUXi7rzzThYsWEBycjILFy5k5MiRpZ4HoGPHjlx6adHePVOmTGHLli2EhoayfPlyunQpOpOyV69e3HHHHfTs2ZNTp07x/PPPM3duyRf8EhISCAoKYs2aNXTs2LHg8W7dutn/yxBFuGvO0dcYDcZuVEp9rZT6N7AMY9RaY+yhfLH8zRvtb34raq786d2zusPq18vZvbuz0XDsxv/W+GI6O9fK4/Njycq12o199Zb21A2+eBWHEKK6CvcL57Xer6GwfxHtpfUvcTj5sOuT8gRKwYCXoP9kx4/Zvxw+GwLpiS5LSwjhXCUV04X179+fwYONC4nff/99sed79+5Ns2ZGA9f8ovliW7ZsYds2Y6vSi0enU1NTmTVrFgBTp04tVkzna9SoES+88AIA33zzDWlpaaXm/MwzzxQppkX5uKug/gxjjbTCGJX+L3B53nOztdYlDYfdglFsr3NLhqLqSTwIXw6Hr0eWb620X6ixBda43yCqZq6Vvtg7K/ax80SK3bhbLm3Ite1kOpAQNc1lkZdxX4f77MZl5Gbw9OqnyS7XjKEqqtdjcOPboBz8aHX8L5h9PZy3v5OCEMLznD17ln379rFz586CW506dQAKiuLClFLcfffdAKxYsYKjR4t/ds0vtH18fLjjjjuKPLdq1SqSk5MBGDp0qM3c+vTpA0BOTg6bN28uNe7ic4jycUtBrbW2AtcBM4DjGHtOHwOmAv+6OF4pdQPQOO/bJe7IUVQhORnw+yswqwfsW1a+17j0Tnh4C3S9p0avlS5s85EkZv2+325cw1B/Jg1uazdOCFE9PdDxAS6ta38Lwb8T/2bG5hluyMiDdLkLhn0KZgfXR5/dg+/cwQRmxrk2LyGEU6xdu5YRI0YQERFB3bp1admyJe3bty+4ffjhhwClNvm66667MJvNWK1WPv300yLPZWVl8eWXxqZHN910U7F9nDdt2lRwPzIyEqVUqbd27doVxMbFlfz+EhQURNOmTcv+lyCKcVubSa11mtb6Ka11I621r9a6sdb6Ra11SW2E1wJNgKZa69Ivq4iaZ+/PMOsyWDUNLFllPz6ykzEiPfgdCKw5G87bk5aVyxPzY7Ha2dFFKXhjWEdC/Lzdk5gQwuN4mbyY1mcaIT4hdmPn7pnL70d/d0NWHqTNYLjjW/AJcijclHyMXvteolb6YdfmJYSokEmTJtGrVy/mz59PYqLt5RoZGRklPt6gQQOuv/56AObMmYMutJXeokWLCl734uneAGfOnCn2mCPS00vuFh8aGlqu1xPFeeS+DVrrJK31Ea21rJ8WRe37Fc6Vc3r3oBlw7wqI6ur0tKq6l5fs4UiC/e05xvVqQs9mciFCiJqufmB9pl4x1aHYF9a9QFxaDRuBbdoX7loMAY69X/rlpnDFvlcxHZVVbkJ4ot9++43Jk40+CU2bNuW9995j+/btnDt3jpycHLTWaK0L1i7bMm7cOAAOHjzI6tUXOrnnT/eOiopiwIABxY6zWCwF97ds2cKOHTscug0ZMqTEPMxmmaHpLO7q8i2Ec1w1EXZ/b+zl6ajOo6H/JAis7aqsqrQVf5/myw32L1K0qhfMkwNauSEjIURVcFXMVYxsPZIv//7SZlxyVjLjV4/n44Ef42WqQR87Gl4K9yw1mo+lHLcb7m3NQM+/HYbNgdbXuzw9IYTj8qdyh4WFsX79+oK10hezN3INxn7WkZGRnDp1itmzZ9O3b19OnDjBsmXGMsa77roLUwl71ReeAl6nTh2ioqLK80cRLuD232xKqRbAnUBPoD7gDwzUWu8vFNMOY8/qNK118R3URc0VEG50Uv3h3/Zj63cwRqWjpf1/aRLTsnnm2x1247zNirdGdMLPW65mCiEueKLrE2w5s4W/E21vtbflzBbe3/4+D3V6yE2ZeYjaLWDsUvj8FojfazdcWbJg3ihjWVJnaRZUk8WEB7Ds8T6VnUaligkPqOwUCuzatQuAK6+8stRiGoqucy6N2WxmzJgxvPrqq3z77be8++67fPrpp1it1iKNyy7WuXPngvv5a7mFZ3BbQa2UMgGvA49iTDXP33dDAxd374gBfgRylVJNtNYn3JWnqAI63QFbPoXjG0t+3q8WXP0f6HK3NByzQWvN89/tID7V/lr0J65pRZsG9tdLCiFqFl+zL6/3eZ0RP44gI7fkNYP53t/2Pt3qdeOyyMvclJ2HqBUF9/wCc4fCCQfawmgLLHoQMpLgcgcuHotqyc/bTMt6wZWdhsiTm2u0fLK1BdXWrVvZsGGDQ683duxYXnvtNdLS0pg3bx5z5swBjO7c+VtrXax///4EBASQnp7O22+/zfDhw1HK/jaGwvXcuYb6feBxwAycBL4tLVBrvQQ4lBdruy+8qHlMJrj+DShpL9TOo4zu3d3GSTFtx3dbTvDLLvvrGrs1DuO+PtIFUghRsia1mjCxx0S7cRrNc388R2JmDdx7OSAc7vwBml7p+DHLJsDyyaDtdIsUQrhc/h7Ua9asYf/+4juinD17ltGjRzv8es2aNaNfv34ATJw4kX379gElNyPLFxoayr//bVxkW7duHY8//jhWq7XU+NOnT/PRRx85nJMoP7eMUCulrgbGYoxGvwK8qLW2KKVK/1cA3wDPAFdh7FstxAUNOkG3sbAx742ifvu86d01bOSjnI4npfPiD7vsxgX6mHlzWCfMJrkCKoQo3eBmg1l/cj2LDy62GXcm4wwT10xk1tWzat7Iim8QjJwH391n9AJxxJoZRs+QG96Si8RCOFFsbGzBqLAtV111FTExMdx5550sXryYtLQ0+vbty7PPPkuXLl0Ao7idMWMGcXFx9OzZkz///NOhHMaNG8fvv/9esK1VSEiI3f2lp0yZwqpVq9iwYQP//e9/WblyJffeey+dOnUiMDCQpKQkdu3axfLly/n5559p3759QRM0V9q/fz9r1qwp8lhqamrB14v/rq+99lrq16/v8rzcxV1Tvu/L+7pEa23/Mrbhr7yvsuGtKNlVE+HgSuj+gOwnXQZWq+bJ+dtIzSppx7qi/nNjG2IiPGcNkxDCc03oMYHt8ds5kmJ7g44/TvzB57s/5862d7opMw/i5QtDP4GfwmDzbMeO2fKpMf371o+M44UQFbZo0SIWLVpkN27hwoXExMQwdOhQ7r77bmbPns3Jkyd55JFHisSZzWbeeustkpKSHC6ob7nlFsLCwkhKSgJgxIgRBATY/szl6+vLr7/+ypgxY/juu+/Ytm1bwah1SUJC3LNcb82aNaWu/U5ISCj23O+//16tCmp3TfnuiTE6/XEZjslviVl9/raFc/mHwUN/wWX3SjFdBh+vOcSGQ/anXPa/pB7Du0a7ISMhRHUQ6B3I631ex9tkf5/6t7a8xa54+7NkqiWT2Rhx7vO048fs+QHmDoOs867LSwhh0yeffMLnn39O7969CQ4OxtfXl0aNGjF69GjWrVvHo48+WqbX8/PzY9iwYQXf25ruXVhwcDALFizgjz/+YNy4cbRq1Yrg4GC8vLwIDw+nW7duPPTQQyxZsoRff/21TDmJ8lHaDWtzlFKZgDfQRWsdW+hxK0ah3V5rvfuiYzoDm4FsrbWfy5MUdimlooBjAMeOHZN2/ZUoIyOjYHuFAQMG4O/v79Bxe+POc+M7a8i22FptARGBPix9vA+1g2Q0xBOU9+ctqqaq/vOeu2cur/31mt246OBo5t8wnyCfIDdk5aH+fA+WPud4fIPOcMcCCHRsf2vhmfL/j0dERBAeHo63t3fBGl1R/VitVlJSUgBjxLjwllhXXHEF69ato02bNgWdxIVj9u3bR25uLl5eXg7//zl+/DjR0QWDRdFaa/t7GjrAXSPU+S3xSu8zX1x+tVYDu5cI4XxZuRYemxdrt5gGePWW9lJMCyHKZWTrkfSL6mc37tj5Y0xdPxV3XNj3WD0fJHvQO1gd/Th2cit8MhDOHXNtXkIIl9u7dy/r1q0DHB+dFp7JXQX1wbyvbcpwzHV5X+VyjRBO8Nav+9hzKsVu3PCuUQxoKysthBDlo5Ri6hVTqRtQ127skkNLWHTA/jrG6szSbhh/NX0Ui7I/VR6AhH1GUX3W/r7WQgjPNW3aNMCY+j1mzJjKTUZUiLsK6mUYexw9lLcftU1KqTbAGIzp4Etcm5oQ1d/Gw4m8v/qA3bjocH/+c6P0ARRCVEyoXyjTek/DZP9XPq9seIWDyQftxlVnp2t1Zl3zZ9A+Du47nHICPrnWsX2thRAeISMjg/3797N9+3amTJlS0Pn6vvvuIyJClnFUZU4vqJVSffJuhRd9vY0x7bsZ8H9KqVK7iyulrsEowP0wpnt/6OwchahJUrNyeWJ+rN2tTJWCN4d1IsjXXc3/hRDVWdf6XXmg4wN24zJyM3h61dNkWbLckJXnSgxqRdbIhRBof2QfgIxEmHMjHPjdtYkJIZxi8+bNtGrVio4dO/Liiy+itSY6OppJkyZVdmqiglwxQr0SWAE0yX9Aa30ayP+tOhY4oJR6r9AxjyqlPlBK7QJ+ARoAVmCM1jrVBTkKUWNMXbybY4kZduPu79OMy5qEuyEjIURNcV/7++har6vduH+S/uGNjW+4ISPPpuu1g7FLIbSRYwfkpMGXw2HX9y7NSwjhPEopGjRowKhRo1izZg1hYWGVnZKoIFdN+VYXP6C1ngvcDqQA0cD9GFO6AcZhFNqX5B2bCgzTWv/kovyEqBGW7Ypj3ib7zWsuiQzh8Wukw6gQwrnMJjOv9X6NUN9Qu7Ff7/2a34785vqkPF14Uxi7DOo6uPzGkg3fjIFNDu5rLYSoFL169cJisWC1Wjlx4gSff/45MTExlZ2WcAJ3raEGQGs9H2gOvIixJZYFo4DOv+0CXgWaa60XujM3Iaqb+NQsnvtuh904H7OJmSM64esle3kLIZyvXmA9Xu71skOxL6x7gZOpJ12cURUQXB/u/gmiuzt4gIYfH4M/3sTu+h4hhBBO5daCGkBrnaC1nqq1vgxjnXRdIBLw1Vq311pP0FqfcXdeQlQnWmueXbCDhLRsu7FPD2xFq/oONsIRQohy6BPVh9FtRtuNO599nvGrx5NrzXVDVh7OPwxGfw/Nr3H8mN+mwNIJYLW/PaIQQgjncHtBXZjW2qq1jtdan9Za51RmLkJUJ99sOs7yPaftxnVvEs7YXk3sxgkhREU9duljtImwv3tm7NlY3ot9z25cjeATALd/Be2HO37M+lmw6EGwyMcqIYRwh0otqIUQznc0IZ3Ji+1v3x7k68WbwztiMhVreSCEEE7nY/Zhep/pBHgF2I39aMdHrD+13g1ZVQFmb7j5fbjsfseP2fYVzBsNOfYbUgohhKgYVxbUsohHCDezWDVPfhNLWrbFbuykwW2JCrP/wVYIIZwlJiSG//T8j904jea5P54jISPBDVlVASYTXDcNrpzg+DH//Ayf3wKZya7LSwghhEsL6p1KKYsTbrKQSggHfbD6IBsPJ9mNu7ZtfW69tKEbMhJCiKIGNR3EkOZD7MbFZ8TzwtoX0NJky6AU9H0GBr1JCZuplOzoOpg9CM7bXwIkhBCifFxZUCsn3oQQduw6mcyMX/fajasd5Msrt7RHKfmvJYSoHM9d9hyNQxrbjfvjxB8sPbLU9QlVJd3GwdCPweTtWPzpHfDJQEg67NK0hBCipvJy4WtvAtJc+PpCiDyZORaemLeNHIv9kZzXh7YnPNDHDVkJIUTJArwDeKPvG4z8aSTZVtu7Ebz+1+v0atCLIJ8gN2VXBbS7Ffxq5a2TTrcfn3QIPh4Io7+Deg7uby2EEMIhriyox2itd7vw9YUQed5ctpe9p8/bjbv9shiual3PDRkJIYRtrcJb8VS3p3hlwys2485mnGVW7CzGXzbeTZlVEc37w50/wNyhkHnOfnxqHMy+DkZ+AzGO7m8thBDCHunyLUQV99fhJD5ac8huXKOIACYOusQNGQkhhGNua3UbV0VfZTfuy7+/ZHeCXKMvJrob3PMLBEc6Fp+ZDJ/dBP8sc21eQghRg0hBLUQVlpELz36/G3s9e0wKZgzvRKCvKyelCCFE2SilmHz5ZMJ8w2zGWbWVl9a/hMVqfweDGqfuJXDPUghv5lh8bgZ8fTts/8a1eQkhRA0hBbUQVdh3h02cSs6yG/dgv+Z0aWT7A6sQQlSGUL9Qnuj6hN24HfE7WLBvgRsyqoLCGhlFdf0OjsVbc+G7cbDhfdfmJYQQNYAU1EJUUdsSFH+dtf9fuF3DEB65uoUbMhJCiPK5qdlNXFr3UrtxM7fMJD4j3g0ZVUFBdWDMT9Col+PH/PwM/P4Kdqc5CSGEKJUU1EJUQWdTs5h30P5/Xx8vE28N74SPl/xXF0J4LqUUL/R4AS9le1nK+ezzzNg0w01ZVUF+ITBqAbS+wfFjVk2DJU+B1eq6vIQQohpzxafso3k32/tgCCHKRWvNxB/+Ji3X/j7Sz17bmhb1gt2QlRBCVEzzsOaMbjvabtzig4vZGLfRDRlVUd5+MOxT6DTK8WM2fmRMAc+Vj26i+lq5ciVKKZRSTJo0qbLTqVYOHz7MO++8w6233kqLFi0ICAjAz8+PqKgohgwZwtdff01ubm5lp+kyTi+otdaNtdZNtNb7nf3aQgj46q9jrN6XYDfuiuYRjLm8sesTEkIIJ3mgwwNEBtrvWP3S+pfIseS4IaMqyuwFN70Llz/i+DE7F8BXt0F2muvyEkJUOy+88AJNmzblkUce4bvvvmP//v1kZGSQlZXFiRMnWLRoEbfffjuXX345R48erex0XULmgQpRhRyOT2Pqj/a3jgn282L60I6YTPZHsYUQwlMEeAfw7GXP2o07mHyQT3d/6oaMqjClYMBU6D/Z8WMO/GZsq5We6Lq8hBDVyqlTp9BaExgYyKhRo5g9ezZr1qxh06ZNfP7553Tr1g2AjRs30r9/f1JTUys5Y+eTglqIKiLXYuXx+bFk5NjfNmbqTe1oEOrvhqyEEMK5roq5in5R/ezGvb/tfY6fP+76hKq6Xo/B4HdAOfiR7/hGmH09pJx0aVpCiOohIiKCadOmcerUKT7//HPGjBnDFVdcQZcuXRg1ahR//vknw4cPB2Dfvn3MmFH9+mBIQS1EFfF/qw6w9eg5u3GDOkRyU6cGrk9ICCFc5Nnuz+Jn9rMZk2nJ5LW/XkNLh2r7Lr0Thn8GZh/H4s/ugY8HQsIB1+YlhKjypk2bxjPPPENwcMk9e8xmM++99x4+Psb7z7fffuvO9NxCCmohqoAdx5OZuXyf3bi6wb68PKQdSslUbyFE1dUwqCH3d7zfbtyq46tYcWyFGzKqBi650egA7uNgo8rko/DxADi1zbV5CVFFpKWlMW/ePMaNG0enTp2oVasW3t7e1KlTh759+/LGG2+UOp35/fffJywsDLPZzPr16+2e69Zbb0UpRXh4OJmZmSXGfP/99wwbNoyYmBj8/PwIDQ2la9euTJ48maSkpFJfe8yYMSilaNy4MWBM2R4/fjxt27YlODgYpRQrV660m2NZRERE0KFDBwAOHKh+F+ps709RAymlpgHPFHroSq31SjvHXAfcB3QD6gBngY3AB1rrn52YWwDwb2AY0AzwBY4BPwFva62POOtcwnNk5lh4fH4suVb7ozDTh3UkNMDBEQghhPBgd7W5ix8P/MiBZNsfvl776zV6RvYkwDvATZlVYU36wJjF8MWtkG6/uSXp8TB7ENz+FTTp7fr8xAU5mZB0qLKzqFxhTYyu9R5i0KBBrFq1qtjj8fHxrF69mtWrV/Pee++xZMkSWrduXSRm+PDhvPjii2RlZTFnzhx69OhR6nni4+NZvHgxACNHjsTPr+jfQVJSEkOHDmXFiqIXE7Oysti8eTObN2/mvffeY9GiRTbPA7B+/XpuvPFG4uPjbcY5Q1ZWFmCMWFc3UlAXopTqBDxRhngT8AEw9qKnGubdhiilPgLu11pXaINHpVRzYAnQ4qKnWuXdximl7tBa/1iR8wjPM+2Xv9l/xn4Dh9E9GtG3ZR03ZCSEEK7nbfZmYo+J3L30bptxcWlx/N+2/+OJrg7/+q7ZGnSGe5bC5zdD8jH78dnnjQJ82GxoPcj1+QlD0iF4z3YxVO09uB7qXlLZWRTIzc2lffv2DB48mK5du9KgQQO01hw5coSFCxcyf/58Dh06xJAhQ4iNjS1SCIeFhXHDDTewYMECvv76a9566y38/UvudTN37lxycoxdDO65554iz2VlZdG/f3+2bNmC2Wxm5MiRXH/99TRp0oScnBxWr17NjBkzOHPmDNdffz1bt26lUaNGJZ4nNTWVW2+9lczMTCZMmMA111xDQEAAO3bsIDLS/m4LZXHmzBn27NkDwCWXeM7P1FmkoM5TqDj2As4AdR047GUuFNNbgdeBAxijx88AnYFxGCPWz1cgt2CMUej8YvpD4GsgA7gSeA4IAeYppa7QWseW91zCs6zdH8/stYftxjWtHchz17e2GyeEEFVJ1/pdGdxsMD8c+MFm3Oe7P+fGZjfSIuzia86iRLVbXCiq4/faj7dkwbxRRnOzzmXY31qIamT27Nm0aFH8PaZ79+4MHz6csWPHMnDgQPbu3cvcuXMZO7boeNudd97JggULSE5OZuHChYwcObLU8wB07NiRSy+9tMhzU6ZMYcuWLYSGhrJ8+XK6dOlS5PlevXpxxx130LNnT06dOsXzzz/P3LlzSzxPQkICQUFBrFmzho4dOxY8nt+V25mmT59esA91foOy6kTWUF/wCMaU7b+Bj+0FK6VaAk/lfbsJuEJr/bXWeqPW+mugV97jAE/njTCX19NAy7z7z2it79Nar9Ba/6m1fgUYCOQCAcDMCpxHeJDkjBye+sb+2jWzUswY0YkAH7k+JoSofp7s+iQhPiE2Y3J1Li+tfwlrxSaD1Sy1GsI9v0DDro7FayssegjWvu3avITwUCUV04X179+fwYMHA8b65ov17t2bZs2aAReK5ott2bKFbduMz34Xj06npqYya9YsAKZOnVqsmM7XqFEjXnjhBQC++eYb0tJK31v+mWeeKVJMu8KGDRuYOXMmAFFRUfzrX/9y6fkqgxTUgFIqBpia9+0DQLYDhz3GhRH+h7XWGYWf1FqnAw/nfesFPF7O3Lwxin2APcCbF8dorddx4SJAX6WU8y8tCbd7cdFOTiWX3IiisAf6NKJTdKjrExJCiEoQ7hfOY10esxu35cwWFu1f5PqEqpOAcLhzETS90vFjfn0Bfn0RpLu6qOHOnj3Lvn372LlzZ8GtTh1j6V1+UVyYUoq77zaWsKxYsYKjR48Wi8kvtH18fLjjjjuKPLdq1SqSk5MBGDp0qM3c+vTpA0BOTg6bN28uNe7iczjb6dOnGTp0KLm5uSil+PTTTwkIqH79Liq9oFZKXaGU+kAp9ZdSaq9SaqNS6kOllDu7X8wCgoBPtdbFuw1cRBktlG/K+/ZvrXWJ7fryHs+fS3WTKl/r5SuBWnn3P7WxFntOofs3l+M8woP8uP0k38fa3wM0JlBzf+/Grk9ICCEq0a0tbqVDnQ5242ZsnsG5zHOuT6g68Q2CkfOgbRk+OqydCT88DJZcl6UlhCdau3YtI0aMICIigrp169KyZUvat29fcPvwww8BSm3yddddd2E2m7FarXz66adFnsvKyuLLL78E4KabbiIiIqLI85s2bSq4HxkZiVKq1Fu7du0KYuPi4krMJSgoiKZNm5b9L8FB58+fZ9CgQRw/fhyA1157jauuuspl56tMlVpQK6XeBlZjrEPuirFGuAtwD7BSKfWuG3IYDtwAJHJhCrc9TYD8jX7tFeD5zzcEGpc1P4yp4xe/Vkk2Ael5968ox3mEh4hLzmTCwp1247xNmlEtLHibK/26mBBCuJRJmXihxwuYlO33u3NZ55i5ZaZ7kqpOvHzh1o+h6z32Y/Nt/Ry+ucvoRi1EDTBp0iR69erF/PnzSUxMtBmbkZFR4uMNGjTg+uuvB2DOnDnoQjM9Fi1aVPC6F0/3BqOxV3mkp6eX+HhoaGi5Xs8RmZmZ3HTTTQWj40899RTPPPOMnaOqrkr7JK6U+hfGFlAZGCPEtwP520+tBhTwr7w4V+UQCvw379vxWmtHe8a3KXT/bzuxhZ8vT1s7h86ltc4F9lfgPMIDaK15+tttJGfk2I29qZGVeiU3iBRCiGqndXhrRrYuuYlPYQv2LWDrma1uyKiaMZlh0AzoU4YPvX//CHOHQmaK6/ISwgP89ttvTJ48GYCmTZvy3nvvsX37ds6dO0dOTg5aa7TWBWuXbRk3bhwABw8eZPXq1QWP50/3joqKYsCAAcWOs1gsBfe3bNnCjh07HLoNGTKkxDxctX1Vbm4uw4cP5/fffweMP+/06dNdci5PUZldjB4ArMA1Wus/L3ruI6XUJ8AY4F/A/1yUw+tAfWAtDjQiKySq0P3jdmIL70kRXYZzXHyuNK31OQfO1QGoo5Ty1VpnleVESqkoOyH18+9kZGSUevVNlN/cv47zxz7713V6Ng6lVz0jLjNTRgequ8I/Y/l5V3/y8y7d2NZjWXp4KWczztqMm7JuCp9d8xleJs9v1uhxP++eT2D2DsbnN/uFAQCH/8A6ZxBZw76EgNquza2aKPxzzh+htFovWtFntVb+usxKZrVa4eK/l4q+Xh6tdfG/cxs++OADwNj+at26dQVrpS9+7YSEhGKPFT6P1WrluuuuIzIyklOnTvHJJ5/Qu3dvTpw4wbJlywCjG/jFxwGEh4cX3I+IiCAqyt7H9uL5AUVGxcvyd+DoeUaNGlWwj/bw4cP53//+5/Tz5Mv/OTpak7iqdnH6bxql1N1a65Jb1xXVEthXQjGdL7+gdskeGHlrtMdhdMd+QOsyddcILnTf3gbBhVvrBZXhHBefy/5GxMXPVaaCmqLFv02rV6+mdm35xelMpzNg+nYzxuSM0gWYNdeGx5O/Ir/w1U1R/cnPu2aRn3dxV6ur+ZqvbcbsT97PlB+n0Muvl804T+M5P+9GRDW6n85HPsSE/Q/CprjtWD7oz7rmz5DhI58NyiIzMxOTyURKykWj/F4RmEb/WjlJeQirVwRc/PdSAYWnPmdlZRX/O7dhx44dgLEtla+vb6nH/vXXXwX3S4pJTTU+zt9222289dZbLFiwgJdffpkPPvgAq9WKUoqhQ4eWeGyrVq0K7i9fvpxbbrnF4fwLy9/j2mq1lunvwBGPPvoo8+bNA+Daa69l1qxZBX9mZ8vNzS0Y4Pv7b3sThg2lrW2vKFdcuv1YKTUWeEhrbWvPn/NAfaWUV9505YvF5H11+k9BKeWDsee0At7SWttfsFqUX6H79jqCFy5qyzNBN/9cjnQer+i5RCWxWOGLfWZyrPb71g1raiXU1w1JCSGEB2rr3ZYWXi3Yl7vPZtyKzBW082lHqCnUPYlVM8fDryDHHEi3Q+9g1vaXIQVlxdH7n6n82ewZzvs3dEOG1ZyXH9aIlvbjhFvkT7cubT0ywPbt24s0DrNl9OjRzJw5k7S0NBYuXMhXX30FwOWXX06TJk1KPKZfv34EBASQnp7O+++/z80330z5+h27xoQJE/jss88A6Nu3L3PmzMHLy/NnCTmDK/6UG4DLgU1Kqf8DJmqtk0uIWwEMA+YqpR7WWhestM8bPX4T0MByF+T4PNAaOApMLsfxhedk+diJLVz6lGeeQf657J3HGeeyNyW9PrARjHb8ZZlqImybtfIQR9MO2Y27oX09nr2lLZmZmQUjGX369MHPz8/OkaIqk593zSI/b/vanG/D7UtvJ9ta+rXmbLLZHLyZaVdMc2NmZefZP+8B5B7vi+nb0ags+yNZ/jlJXHn4dbKGzUU3uNQN+VVNhX/mfn5+eHl5ERJie691UXGFt2vy9fUt0995y5Yt+eeff1i/fj1nzpyhefPmRZ4/e/YsDz74YJHH8l/farUWjNIGBQVhMpno2LEj/fr14/fff+eVV14p6MQ9bty4UvMKCQnhoYceYvr06fz1119MmjSJN998E5Op5MUBp0+fZvHixQVrtvN5e3sDYDKZnPbvbvLkybz33nuAcVFg8eLFBAYGOuW1S3P27Fn8/f0JCgoqdU/ui+V3HHc2pxfUWuueSqlxwKvAQ8AwpdSzWus5F4VOBK4BhmJsKXUASMZYM9wQY/Q4MS/OaZRSrYHn8r59WGtd+m7npTtf6L69adyF/zWVZ7Q9/1yOTBev0Lm01jb/lRW+Cubv74+/vwyCO0PssXP874/DduPqh/jx8s0d8ff3LvK4n5+f/CxqEPl51yzy8y5ZS/+WjOswjvdi37MZ9/uJ39mYsJE+UX3clFnFeOTPu0U/uPtn+OIWSD1tN1xlJuH39TC47QtoVj23yHGm/M9WpRVFwnkK/x1v27atYDTVlquuuoqYmBjuuusufvzxR9LS0rjyyit59tlnC4q4devWMWPGDOLi4ujZsyd//vlnsfMVziH/8XHjxvH7778XFNMhISEMHz7c5r+FqVOnsnr1ajZs2MDbb7/NqlWruPfee+nUqROBgYEkJSWxa9culi9fzs8//0z79u257777irxG4c/zzvh398477zBlyhQAGjZsyOuvv86RI0dsHtOqVauCwr4ilFKYTCaH3zdd9f7qknF4rfVHSqkFGEX1OIxp4OMoNA1ca71fKdULeA/oS/HO1CuBB7XWB5yc3uMYo70HgQCl1G0lxLQrdP8qpVR+M67FeQV44cLT3jBt4VFfh9coF3Ic6A4EKqVC7TQmyz/X2bI2JBOVIyPbwhPzYrFY7S/hf2NYR2oFVPzNRwghqoOx7cby08GfOJJi+4PbKxteoVv9bvh7eVihWpXUbwf3/AKf3wxJh+3H56TB3OFw64dl299aCDdZtGgRixYtshu3cOFCYmJiGDp0KHfffTezZ8/m5MmTPPLII0XizGYzb731FklJSQUFtT233HILYWFhJCUlATBixIgio+gl8fX15ddff2XMmDF89913bNu2jX//+9+lxrtj5sOCBQsK7p84cYJevez3rjh06BCNGzd2YVbu5bLLYVrrJK31A0APjD2S86eBv6OUqpUXs0drfSXGeunBwOi8r4201ldprR1bYV42+dOimwJflXK7tVD8C4Uez2/pt7vQ863tnK/w83vKka9D51JKeQHNKnAeUQle/XkPB+PtT5IYc3ljerWQRi9CCJHPx+zDhO4T7MadSD3Bh9s/dENG1Vx4U7hnKdRrZz8WwJoD39wNmz5xbV5CuMknn3zC559/Tu/evQkODsbX15dGjRoxevRo1q1bx6OPPlqm1/Pz82PYsGEF35e093RJgoODWbBgAX/88Qfjxo2jVatWBAcH4+XlRXh4ON26deOhhx5iyZIl/PprzW5s5y4uXymutd6klOoB3Au8TAnTwPOmGrtmUrtrHAJOAg0wRtdtyZ9ndgI4XI5zrSl0vy+wvpS4rlyYbKj64wAAdJdJREFU8r22HOcRbrbqn7N89qftkRWAZnUCefY6e9dthBCi5unZoCfXNb6Onw//bDNu9q7Z3NDsBprWauqmzKqp4Pow5if46jY46sgonIYfH4f0ROj9JHhQAyVR8/Tr14+ybepT3KhRoxg1alSpz0+aNIlJkyY5/Ho7dxp9kdu0aUOPHj3KlEuvXr0cGg2+2Jw5c5gzZ06ZjyvNypUrnfZaVZVbFmxowwdAK+AjoDbGNPC1SqlO7sihUC5jtNbK1o2ijcquLPTc4fw/D5A/T6R13gWDYvIez6+EFpVxa658KzHWlgPcpUpv5zem0P2F5TiPcKNz6dk8/Y2tJvgGL5Ni5ojO+Hmb3ZCVEEJUPU93e5ogb9ttRnKtuby8/uUKf5gWgH8ojPoOWgx0/JgVU2HpBKfuKSxEVbd3717WrVsHOD46LTyTWzsgaK0Ttdb3AT2BLXlfNyql3s2fBl6FzAQsefffUUoVWZyV9/07ed/m5sUXo5Sao5TSebd+Fz+vtc4G3s779hLgqRJeoycwNu/bVVrrjWX5gwj30loz4fudnDlvf5n7o1e3oH1UVfuvIYQQ7lMnoA7/7lz6GsJ8f8X9xU+HfnJDRjWATwDcNhc6jHD8mPWz4Pt/gcX+FlxC1ATTphk7EPj5+TFmzJjKTUZUSKW0FMwr+C7DmP6dAjwI7FVK3V0Z+ZSH1vofYHret12BtUqpEUqprkqpERjTrrvmPT9da217w0zbpgP/5N1/XSn1vlLqSqVUD6XUc8AyjOn7GcBjFTiPcIMftp3kp+2n7MZ1jgnlX/2a2Y0TQoia7rZWt3FJ+MW9TYubvnE6Kdn2t38SDjB7w5D/g+7/cvyY7V/DvFGQU56dPYWo2jIyMti/fz/bt29nypQpBdOu77vvPiIiIio3OVEhLiuolVK3K6WWKaXOKKWy8r4uU0qNhIJp4P8DWgKzMRp+fVQZ08ArYAKQ322jM/A1xj7NX+d9D/AxFdz6S2t9HhgE5Bfl92Hs4/0n8ArGllopwHCtdWxFziVc6+S5DCZ+v9NunL+3mbeGd8LLLNtoCCGEPWaTmf/0/A8K22t0EzMTeXvL2zZjRBmYTHDtq3BVGT7m/PMLfH4LZJxzWVpCeKLNmzfTqlUrOnbsyIsvvojWmujo6DKtuRaeyemf1pVSZqXUt8AXQH+M9dLeeV/7A58rpb5TSpkBtNYJWuuxwBVALEWngYc6Oz9n0lpb83IfhLGm+iSQnfd1EXC91nqc1rrCi4a01vsxivTxGF3TzwHpwF7gLaCD1vrHip5HuI7Vqnn6222cz8y1GzvxhktoXDvQbpwQQghDu9rtGN5quN24+XvnszPe/oVN4SCloM/TMGgG2LmgUeDoOphzA5y3v6+1ENWNUooGDRowatQo1qxZQ1hYWGWnJCrIFcNfTwC35N3/ALgSY+3vlXnfA9yUF1dAa70eY4r0w8B54F9U0jRwrfWkQo3IVjoQv0RrPURr3VBr7Zv3dYjW2nbbUYo1SbN5Lq11mtb6da11N611mNY6UGvdWmv9hNbafrtoUanmrDvM2v0JduOubFWHkZfFuCEjIYSoXh659BEi/GxPndRopq6fisVqsRknyqjbWBj6CZi8HYs/vQM+GQiJh1yblxAeolevXlgsFqxWKydOnODzzz8nJkY+71UHriioxwAaY93wA1rrVVrrvXlfHwBex7iEWaxQzpsGPgtjGvhnGKPaH7kgRyHcat/p80z7xf626mEB3ky7tQOlN3MXQghRmhCfEJ7qVqx3ZzG7E3Yzb+88N2RUw7S7Be6YD94OzrBKOmQU1XEyY0AIUXW5oqDO3+RxUSnP/5D3tUlpL6C1jtda3w30BuzvLSSEB8vOtfL4/Fiycu3P/H/l5vbUDfFzQ1ZCCFE9DWoyiO71u9uNe2frO5xNP+uGjGqYZlfBXT+Av4PTWFNPw5zr4eh61+YlhBAu4oqCOr99ZuNSns9//Ly9F9Jar+NCp2whqqR3Vuxj5wn7XWVvubQh17WPdENGQghRfSmleL7H83iZvGzGpeakMn3jdJsxopyiusLdv0BwA8fiM5PhsyHwzzKXpiWEEK7gioJ6OcaU7jeUUpcVfkIpdSkwDWNK+HJHXswZDb2EqCybjyQx6/f9duMahvozaXBbN2QkhBDVX9NaTbm7rf0WLD8f/pl1J9e5IaMaqG5rGLsUIpo7Fp+bAV/fDtvnuzYvIYRwMlcU1BOBRCAS+FMpdTBvK6wDGFtKRWF0qH7BBecWwmOkZeXy5PxYrNp2nFLwxrCOhPg52MhFCCGEXfd1uI+GQQ3txr2y4RWyLFluyKgGCo2Be5ZCZEfH4q258N29sP7/XJuXEEI4kdMLaq31IeBy4HeMkerGGFthNcn7fjXQW2t9wNnnFsKTvLxkD4cT0u3Gjb2iCT2b2e5KK4QQomz8vPx4vvvzduOOpBzhk52fuCGjGiqwNtz1IzTu7fgxv02BlJOuy0kIIZzIFSPUaK3/0VpfDcQAg4HReV8baa37aa13u+K8QniK3/8+w5cbjtqNa1kviKcGtnJDRkIIUfP0iepD/5j+duM+2v4RR1Psv2eLcvILgTu+hdY32I81ecOIzyHEwfXXQghRyVxSUOfTWh/XWv+otZ6b9/WYK88nhCdITMvm6W+3243zNiveGtEJP2+zG7ISQoiaafxl4/H38rcZk23N5pUNr6C1nTU6ovy8/WDYp9B5lI0gBbd8AM2vdltaQghRUS4tqIWoabTWPP/dDuJT7a/He/yalrRtUMsNWQkhRM1VP7A+D3V6yG7c2pNrWXZEuky7lNkLBr8LVzxa8vOD3jT2shZCiCpECmohnOi7LSf4ZVec3biujcK4v08zN2QkhBBi5CUjaRHWwm7c63+9Tmp2qhsyqsGUgmumGLfCrpwI3cZWTk5CCFEBUlAL4STHk9J58YddduMCfczMGN4Js0m5ISshhBDeJm9e6GF/c5EzGWeYFTvLDRkJrnjUGK1WJuj+L+jzVGVnJIQQ5SIFtRBOYLVqnpy/jdSsXLux/7mxDTERAW7ISgghRL7OdTtzSwv704m//PtL/k782w0ZCS4dDWOXw8BXjJFrIYSogqSgFsIJPl5ziA2HEu3G9b+kLsO7RrshIyGEEBd7/NLHCfUNtRlj1Vamrp+KVVvdk1RNF9UFTPJxVAhRdck7mBAVtDfuPNOX7rUbFxHow6u3dEDJVXghhKgUoX6hPNHlCbtx289uZ8G+BW7ISAghRFUnBbUQFZCVa+GxebFkW+yPZLx6S3vqBPu6ISshhBCluan5TXSu29lu3MzNM0nISHBDRkIId1i5ciVKKZRSTJo0qbLTqVZ++uknJk2axKBBg7jkkkuoXbs23t7ehIWF0aVLF5588kn27rU/+FRVSUEtRAXMXL6PPadS7MYN7xrFgLb13ZCREEIIW0zKxMQeE/FSXjbjUrJTmLF5hpuyEkKIqik3N5cbbriByZMns2TJEv7++28SEhLIzc3l3LlzbNmyhRkzZtC+fXtee+21yk7XJWz/NhFClGrj4UT+b9UBu3FRYf68cEMbN2QkhBDCES3DWjK6zWhm75ptM+6HAz9wc/Ob6Vq/q5syE0KIqqdWrVr069eP7t2707RpUyIjIwkICODkyZOsXLmSTz75hOTkZJ577jlCQ0N54IEHKjtlp5KCWohySM3K5Yn5sWhtO04pmDG8E8F+3u5JTAghhEMe6PgAPx/+mbi0OJtxL61/iW9u/AZvs7yPCyHExby8vEhISMBsNpf4/ODBg3n44Yfp0qULSUlJ/Oc//+Hee+8tNb4qkinfQpTD1MW7OZaYYTfuvj5NuaxJuBsyEkIIURYB3gE8e9mzduMOJB/gs92fuSEjIYSomuwVx02aNGH48OEAnD17lr//rl5bE3psQa2UukIp9YlS6uPKzkWIwpbtimPepmN241rXD+aJa1q6ISMhhBDlcVX0VfSN6ms37v+2/R8nUk+4ISMhhKdKS0tj3rx5jBs3jk6dOlGrVi28vb2pU6cOffv25Y033iA1NbXEY99//33CwsIwm82sX7/e7rluvfVWlFKEh4eTmZlZYsz333/PsGHDiImJwc/Pj9DQULp27crkyZNJSkoq9bXHjBmDUorGjRsDcOrUKcaPH0/btm0JDg5GKcXKlSvt5lhWwcHBBfdL+zNVVZ485bs5MAbQwNjKTUUIQ3xqFs99t8NunI/ZxMzbOuHrVX2mswghRHWjlOK57s+x4dQGMi2lf8DLtGTy2obXeOfqd9yYnajJsixZHEuxf/G+OosOicbX7Dm7owwaNIhVq1YVezw+Pp7Vq1ezevVq3nvvPZYsWULr1q2LxAwfPpwXX3yRrKws5syZQ48ePUo9T3x8PIsXLwZg5MiR+Pn5FXk+KSmJoUOHsmLFiiKPZ2VlsXnzZjZv3sx7773HokWLbJ4HYP369dx4443Ex8fbjKuojIwMFi1aBIDJZKJly+o14OTJBbUQHkVrzbMLdpCQlm039qmBLWldP8QNWQkhhKiIhkENub/j/fx3y39txq08vpIVR1dwVcxVbspM1GTHUo5x8w83V3YalWrh4IU0D2te2WkUyM3NpX379gwePJiuXbvSoEEDtNYcOXKEhQsXMn/+fA4dOsSQIUOIjY0tUgiHhYVxww03sGDBAr7++mveeust/P39SzzP3LlzycnJAeCee+4p8lxWVhb9+/dny5YtmM1mRo4cyfXXX0+TJk3Iyclh9erVzJgxgzNnznD99dezdetWGjVqVOJ5UlNTufXWW8nMzGTChAlcc801BAQEsGPHDiIjIyv895WTk8OpU6dYt24d06ZNY9++fQV/psKj1dWBFNRCOOibTcdZvue03bjuTcIZ26upGzISQgjhDHe1uYvFBxZzMPmgzbjX/nqNHpE9CPAOcFNmQghPMXv2bFq0aFHs8e7duzN8+HDGjh3LwIED2bt3L3PnzmXs2KITbO+8804WLFhAcnIyCxcuZOTIkaWeB6Bjx45ceumlRZ6bMmUKW7ZsITQ0lOXLl9OlS5ciz/fq1Ys77riDnj17curUKZ5//nnmzp1b4nkSEhIICgpizZo1dOzYseDxbt262f/LKMXhw4dp0qRJqc8PHDiQN998s9yv76mcvoZaKdXHGTegtd2TCeEmRxPSmbx4l924IF8v3hzeEbNJuSErIYQQzuBt9mZij4l2406lneL/tv+fGzISQniakorpwvr378/gwYMBY33zxXr37k2zZs2AC0XzxbZs2cK2bduA4qPTqampzJo1C4CpU6cWK6bzNWrUiBdeeAGAb775hrS0tFJzfuaZZ4oU065Su3Zt5s2bx08//URISPWbwemKEeqVGOuehagWLFbNk9/EkpZtsRs7aXBbosJk5EIIIaqabvW7cWPTG1l8cLHNuM93fc6NTW+kRZjtD9dCiOrt7NmznDt3jqysrILH6tSpA1BQFBemlOLuu+9m4sSJrFixgqNHjxITE1MkJr/Q9vHx4Y477ijy3KpVq0hOTgZg6NChNnPr06cPYEy73rx5c8H3F7v4HBXVsGFDduwweg3l5uZy4sQJfvnlFz7++GMeeOABDhw4wHPPPefUc3oCV3b5Vk64CVHpPlh9kI2HS++WmG9g23rcemlDN2QkhBDCFZ7s+iTBPrbX9uXqXF5a/xJay9iBEDXN2rVrGTFiBBEREdStW5eWLVvSvn37gtuHH34IUGqTr7vuuguz2YzVauXTTz8t8lxWVhZffvklADfddBMRERFFnt+0aVPB/cjISJRSpd7atWtXEBsXF1diLkFBQTRt6twlit7e3rRr14527drRqVMnBg0axDvvvMP69etRSvH8888XG3mvDlwxQp0NeAPbgYUVeJ1OwE3OSEiI8tp9MoUZv+61G1c7yJdXbm6PUnIdSAghqqoI/wgeu/Qxpq6fajNuy5ktLDqwiCHNh7gnMSFEpZs0aRKTJ092KDYjI6PExxs0aMD111/P4sWLmTNnDhMnTiz47Lho0SISExOB4tO9Ac6cOVOuvNPT00t8PDQ0tFyvVx4dOnTgpZde4sEHH2T27NncdtttDBgwwG3ndzVXFNTbga5AjtbasX91JVBK3YUU1KISZeZYeHxeLDkW+6MQrw9tT0SQ52ztIIQQonyGthzK9/u/Z0e87S0SZ2yaQb+ofoT6hbonMSFEpfntt98KiummTZvy1FNP0atXL2JiYggMDMTLyyip/vOf/zB1qu0LcuPGjWPx4sUcPHiQ1atX07dvX+DCdO+oqKgSi02L5cLSwy1btuDt7e1Q7lFRUSU+bja7d2vXm266iQcffBCAb7/9VgpqOzZiFNTtlVI+Wmv7ewwJ4YFm/PoPe0+ftxt3+2UxXNW6nhsyEkII4WomZeKFHi9w20+3YdXWUuOSspKYuWUmky6f5L7khBCVIn8qd1hYGOvXry9YK32x/BFmWwYNGkRkZCSnTp1i9uzZ9O3blxMnTrBs2TLAmBZuMhVflVt4CnidOnVKLZQ9VeG/syNHjlRiJs7nioL6L+BfGNO+O+V9L0SV8ueBBD78w/b2KQCNIgKYOOgSN2QkhBDCXS6JuITbW9/O3D0lbzeTb8G+BQxpPoROdTu5JzFRY0SHRLNwcEVWTlZ90SHRlZ1CgV27jJ1errzyylKLaSi6zrk0ZrOZMWPG8Oqrr/Ltt9/y7rvv8umnn2K1Wgsal5Wkc+fOBffz13JXJSdOnCi4HxQUVImZOJ+rCup83ZCCWlQxKZk5PPXNNuz1mzEpmDG8I4G+sp27EEJUN//u9G+WHV7G2YyzNuNeWv8SX9/wNV4m+V0gnMfX7EvzsOaVnYbIk5ubC2BzC6qtW7eyYcMGh15v7NixvPbaa6SlpTFv3jzmzJkDGN2587fWulj//v0JCAggPT2dt99+m+HDh1ep3j3ffPNNwf327dtXYibO54ou338DY4B7qEAxrbX+VGtt0lq7d4K/qPEm/7CbE+dKbiZR2IP9mtOlUbgbMhJCCOFuQT5BPNPtGbtxe5P28uWeL92QkRCisuTvQb1mzRr2799f7PmzZ88yevRoh1+vWbNm9OvXD4CJEyeyb98+oORmZPlCQ0P597//DcC6det4/PHHsVpLX5Zy+vRpPvroI4dzKq/vv/+eU6dO2YxZvXo1U6ZMAcDLy4vbb7/d5Xm5k9Mvp2pjH4nPnP26QrjDLztPsWDLcbtxbRuE8MjVsgepEEJUZwMbD+S7fd/x56k/bcbNip3FgMYDqB9Y302ZCSEqIjY2tmBU2JarrrqKmJgY7rzzThYvXkxaWhp9+/bl2WefpUuXLoBR3M6YMYO4uDh69uzJn3/afr/IN27cOH7//feCba1CQkLs7i89ZcoUVq1axYYNG/jvf//LypUruffee+nUqROBgYEkJSWxa9culi9fzs8//0z79u0ZN26cQ/mU1/fff8+IESMYNGgQV199NW3btiU0NJSsrCwOHDjA4sWLmT9/fkHx/5///IdWrVq5NCd3k/lJQuQ5cz6T576z3dUVwMfLxMwRnfDxcuU27kIIISqbUooJPSZwy6JbyLaW3mM1PTed1ze+zox+M9yYnRCivBYtWsSiRYvsxi1cuJCYmBiGDh3K3XffzezZszl58iSPPPJIkTiz2cxbb71FUlKSwwX1LbfcQlhYGElJSQCMGDGCgIAAm8f4+vry66+/MmbMGL777ju2bdtWMGpdkpCQEIdyqajs7GwWLlzIwoWlr/v39/fnpZde4oknnnBLTu4kFYEQgNaa8d9uJyk9x27s+Gtb06JesBuyEkIIUdkahTRiXHv7Izy/HvmVNSfWuCEjIURl+OSTT/j888/p3bs3wcHB+Pr60qhRI0aPHs26det49NFHy/R6fn5+DBs2rOB7W9O9CwsODmbBggX88ccfjBs3jlatWhEcHIyXlxfh4eF069aNhx56iCVLlvDrr7+WKafyeP311/nkk08YM2YMXbt2JTo6Gl9fX/z9/WnYsCEDBgzgtdde48CBA9WymIZKHqFWSgVgbLGF1np1ZeYiarav/jrG73ttN54BuLxZBHdf3tj1CQkhhPAY97S/hx8P/sjR80dtxr28/mUW3rQQPy8/N2UmhHBUv3790PY6ztoxatQoRo0aVerzkyZNYtKkSQ6/3s6dOwFo06YNPXr0KFMuvXr1olevXmU6BmDOnDkOTXd3VN26dbn77rtL7U5eE1T2CHUTYCWwopLzEDXY4fg0pv64225csJ8XbwzriMlUdToqCiGEqDhfsy8TekywG3c89Tgf7XB9EyAhRNW3d+9e1q1bBzg+Oi08U2UX1PmkQhGVItdi5Yn5sWTkWOzGTr2pHQ1C/d2QlRBCCE9zeYPLubbxtXbjPt75MYeSD7khIyFEVTZt2jTAmPo9ZsyYyk1GVIinFNRCVIr/W3WALUfP2Y0b1D6Smzo1cH1CQgghPNbT3Z4m0DvQZkyuNZeX179c4amlQojqJSMjg/3797N9+3amTJlSMO36vvvuIyIionKTExUiBbWosXaeSGbm8n124+oG+/LSkHYoJRMphBCiJqsbUJeHOz9sN25D3AaWHFrihoyEEFXF5s2badWqFR07duTFF19Ea010dHSZ1lwLzyQFtaiRMnMsPDYvllyr/RGE14d2ICzQxw1ZCSGE8HQjWo3gkvBL7MZN3zidlOwUN2QkhKhKlFI0aNCAUaNGsWbNGsLCwio7JVFBUlCLGmnaL3+z/0yq3bjRPRrRr1VdN2QkhBCiKvAyefFCjxdQdtq/JGQm8M6Wd9yUlRDC0/Xq9f/t3Xd8FNX6x/HPkxAg9CpFigiIKCAICCoIWK8IWEC4F1BBsNyfvTeUotjF3q4FuF4sKE0UGyKgKIgUpSiKgAoivQgkIeX8/phN2ITsbrLJ7qZ836/XvDKz88zMkx0S8uw5c04X0tPTycjIYNOmTbzxxhs0atQo1mlJIVBBLaXOgrXbGb9gQ8i4JrUqclfPYyOfkIiIFCuta7fm4mMuDhn3zpp3WLV9VRQyEhGRWIlpQe2cW+Wci3POxccyDyk99iSlcuu734eMi48zxvU/gQplYzpVu4iIFFHXn3g9NcrXCBrjcIxZOIb0jNAzSYiISPGkFmopVUbOWMnmPckh467t0Yx2jfRMi4iI5K5quarc2uHWkHGrd6xm8s+To5CRiIjEQkwLajMrY2a1fUvUmgLNrIqZ/dPMnjCzeWa21sz2mNlBM9tqZnPN7HYzCziGvZm5/C4FyHdupK9RGnzww59MX/5nyLg2Dapy7enNopCRiIgUZ72O7kXHuh1Dxj2z9Bm2J22PQkYiIhJtUS+ozew4M3vGzFYDycBfviXZzH40s2fNrFWE0zgJeAu4GTgNaApUARKA2kA34BHgJzM7p5Cu+XMhnUfC8NeeZO6ZtjJkXPmEOJ4c0JaEeHXeEBGR4MyMEZ1GUCYueJvAvtR9PLb4sShlJSIi0RTNVuE44DHgerxCPufwmAa0AI4Brjaz54BbnHMZEUrpD+ALYIlvfbMvrwZAP+AioBbwvpmd5JzL+eBt6zxc4zIgsz/YxELI+TtgaCGcp1RxznH7lB/Yk5QaMvauc1vStHalKGQlIiIlwdHVjmbI8UN4dcWrQeNmrZ/Fhc0vpHO9zlHKTEREoiGaIy69CVzMoUJ6FfAtsMW3XQfoCLQC4vEK7/rAgAjk8oVzLtg49ZPN7AJgGlAWGIlXYGdxzoVs7jSz0zLDgf+Fl2o2+/NyXcnufwt/Y/7P20LGdW1ei0s6N45CRiIiUpJc2eZKPlr/EZv2bQoaN3bhWKb0mULZ+LJRykxERCItKv1azeyfQH/f5vdAJ+dca+fcMOfc3b5lmHOuDdAJWIZXePfzHVuonHMhh9t0zk0H1vg2u+b3GmbWAq9rOcBc59zv+T2HFNyv2/YxdtaPIeOqJibwWL8TiIsLPq+oiIhITollErnrpLtCxm3Yu4HxK8dHISMREYmWaD0oeqXv689AF+fc4kCBvn2n4RWzBlwV+fQC+tv3tXwYx17qt14Y3b0ln1LTM7j5neUkp4Z+auCBC1pRt2o4t1lERAS6NezG6Q1PDxn3yopX+OPvP6KQkYiIREO0CuoT8Lo9P+Kc2x8q2BfziN+xUedrYW7r2/wpn8caMNi3uR+YUniZSV49/8Vavt+4J2RcnxPq0/uE+lHISERESrI7T7qTxDKJQWNS0lN4cNGDOKeJOURESoJoFdSZDwv9kI9jMmMTCjmXgMysgpk1N7ObgXkcesb8qXyeqjuQ+Yz2VOfcvsLJkGPNbJGZ7TazZDPbaGYzzOxSM4va+1QcLP9jN8/OWRsyrm6V8tx/fqQHlRcRkdKgXqV6/N8J/xcy7qtNXzH799lRyEhERCItWoOS/Qa0BKrm45gqfsdGjJkNAYI90PQw3oBq+eHf3fu/+c0piDq+JdORvqUPcIeZ9XPOhX5gOAAzaxAipG7mSlJSEklJSeFeKqKSUtO58e1lpGeE/vR/7PnHUtbSSEpKi0JmhSc5OTnXdSmZdL9LF93v4q1vk75MXzudX/f8GjTu4UUP0656O+LT47Ne0/0uHfzvc2ZPhYyMSE1qI7Hmf291nwuXc46MjIw81ySRql2iVVBPAe4F+uJNVZUX/fC6iU+LVFIhLAeuDPa8d27MrALe9wmwEZhTCLlkAJ8Ds/AGddsBVAZOxHvGvCVwHPCFb4qvcAdAy/NDXfPnz6dWrVphXiay3lsXx4YdoTtfnFY3g31rv+PT0A3ZRdr8+fNjnYJEke536aL7XTydnn46vxK8oN6atJURs0ZwbuK5Wa/pfpc+ycnJxMXFsXfv3linIlGwb19hdVqVtLS0rAa+n37K29O527dvj0gu0eryPQ5YB1xlZv1DBZtZP7xCcT3weIRzm443p3RrvFG5/4VXxLcF3jKzXvk83wV4xS7A/wppHu2LnHNnOufGOec+d84td8596Zx7Gu8Z88xBz+qQ/+7pJcqPu40vt4T+Z10n0dG7kT4lFBGRwte4TGNOLHtiyLhvUr5hc/rmKGQkIiKRYtEaFMPMjgLeAToAM4EJwGJgK15LdOY81JfhdWH+DujvnItol+9AzOwSvELVAcOccxPyeNzHwDm+zZbOuXwNaBYOMysDrARa+F5q4JwLPhlm7ufJS5fvxQA///wzDRqECo+u3Ump9HlhEdv2HQwaVybOeGtYe1rVrxI0rihLTk7Oask47bTTKF9eI5SXZLrfpYvud8mwO2U3/T7qx96DwVsej69+PAMyBhBncbrfpUTmz3jNmjWpXr06ZcuWpWnTprFOq8SbO3cuZ5xxBgD33XcfI0eOjMp1MzIyslqmK1WqRFxctNozY++jjz6iV69DbZOF+b7/+uuvpKamEh8fT6NGjUIfAGzcuJFjjjkmc7Ohc25jYeQSlS7fZuY/77MBvX1LwEPwCu913oDZuXLOuYjl75x7w9c63R94zszed87tDHaMmdUDzvRtLo5GMQ3gnEszs9eAR30vdSP/z30T6h+V/71ITEwkMTH4SKbR5JzjgWk/hiymAW44ozkdm9YJGVdclC9fvkjdC4ks3e/SRfe7+EpMTOSWDrcw8uvgfzyu2rWKJYlL6Fiuo+53KZT5t1VpKrJixf89NrOYvOdxcXGl5l7v37+fa665Jttrhf2+Z54vr783I/X7NVp31PyWnNu5LXmJCVhpF6IZvq8VgX/kIX4QkDm6SGEORpYXq/3Wj4zytWPu/e//5MMfQneba9eoGv/urk+BRUQk8i5odgFta7cNGfdp8qfszwg5q6iISLFx77338ttvv3HEEUfEOpWIi9agZKOjdJ3Cts1vvXEe4i/xfT0IvFX46QRVaie0/HN3EvdOXxkyLjEhnnH921ImvnR8MigiIrEVZ3GM6DyCAR8MIN2lB4xLckl8nPwxF3JhFLMTEYmMJUuW8Mwzz1CuXDnGjh3LFVdcEeuUIioqBbVzrrgW1P4tvUGH5TOztkAb3+Ys59yOSCUVwHF+639G+doxk5HhuO2979mbHHraq3vOa0mTWhWjkJWIiIinRY0WDG45mImrJwaNW3ZwGcu2LeOURqdEKTMRkcKXnp7OFVdcQXp6Ovfddx/NmjWLdUoRp6a64C72W18RItZ/7ung/2sWMt+gZJf7vVRq5t2Y+M0GFqwN/dlF9xa1GdQpbwMWiIiIFKb/a/t/1KkQeuyOR5Y8QmpGahQyEpH82r9/P++88w7Dhw+nbdu2VK1alYSEBGrXrk23bt14/PHHA06L9fLLL1O9enXi4+NZuHBhyGv17dsXM6NGjRoB56efPn06F198MY0aNaJ8+fJUq1aNDh06MHr0aHbt2hXw3EOGDMHMOOqoowDYvHkzd9xxB8cffzyVK1fGzJg7d27IHAN58sknWbZsGccccwx33HFH2OcpTqLV5btIMbMhwNvOudz/hXoxNwE9fZvrgS+DxMYDA32bO4AP85HLBLyRzQF6OOfm5tjfA1jmnNsd4PgE4BW8uagBZjrn8jyfdHH2y5a/efij0OO+Va+QwKN92xBkgDsREZGIqZBQgTtPupOb5t4UNG7d3nW8sfoNLm91edA4KfkyUlJI/f33WKcRUwmNGhFXrlys08hy3nnnMW/evMNe3759O/Pnz2f+/Pm88MILzJo1i2OPPTZbTP/+/Rk5ciQpKSlMmDCBzp07B7zO9u3bmTlzJgADBw48bOT/Xbt20a9fP+bMmZPt9ZSUFJYsWcKSJUt44YUXmDFjRtDrACxcuJDevXsX2vzMGzZsyBrF+8UXX6RcEbp/kRSTgtpXBJ4ItAJq+F7eiTf101LnXKQ/nh0FPGFmU4CvgF/xunRXxpuPehBwqi/2IHClc0EefvKmycr86PmtQs7/MuB9M3sfmAusAfYClYD2wJUc6u69FbihEK9dZB1My+CmyctJSQs9l/SDF7bmiCqahkRERGLnjEZn0PXIrny5KeDn8wC89P1L/OOof1C/Uv0oZSZFUervv7Oud59YpxFTR898n3LNm8c6jSxpaWm0bt2aPn360KFDB+rXr49zjt9++41p06YxefJk1q9fzwUXXMDy5cuzFcLVq1enV69eTJkyhbfffpsnn3wy4IjTkyZNIjXVKyUuvzz7h2spKSmceeaZLF26lPj4eAYOHEjPnj1p0qQJqampzJ8/n3HjxrF161Z69uzJsmXLaNw492Gg9u3bR9++fUlOTuaee+7hrLPOokKFCqxYsYJ69eqF9R79+9//5sCBAwwaNIjTTz89rHMUR1EtqM2sAnAvcAVQPUDYLjP7D/CAc+5ABNOp4csj2FPyG4HLnXOzQ5zLv7t3JEb3roTXAj4wSMwK4J/OufURuH6R8+ycX1i5KfjcngAXtTuSc1uH90tBRESksJgZd3W6i29nfEtKekrAuKS0JB7+9mGeOf2ZKGYnIqGMHz+e5rkU+J06daJ///4MGzaMc845hzVr1jBp0iSGDRuWLe7SSy9lypQp7Nmzh2nTpjFwYO5/1o8fPx6AE044gRNPPDHbvjFjxrB06VKqVavG7Nmzad++fbb9Xbp0YdCgQZx88sls3ryZu+++m0mTJuV6nR07dlCpUiW++uorTjjhhKzXO3bsGPrNyMWbb77Jxx9/TLVq1Rg3blxY5yiuovYMtZk1ApYDt+MVs4GmwqoB3AEsM7MGEUrnHOAWYCrwA7AFSAP+xmutngIMBVo45z4LdiIzqwJkfoT4o3NucSHn+ghwEzAZrwV/C5CK16L+K/AO3rPe7ZxzqwOdpCRZ8tsunv9ibci4I6slMur846OQkYiISGgNKzfkyjZXhoz74o8vmPvH3IjnIyJ5l1sx7e/MM8+kTx+vJJg+ffph+7t27UrTpt7UrZlFc05Lly7l+++/Bw5vnd63bx/PP/88APfff/9hxXSmxo0bc++99wLw7rvvsn9/4Cn5br/99mzFdLh27tzJTTd5j7Q89NBDpWKqLH9RaaH2dfH+CMgc5u0nYDywCPjL91pd4CRgCF4X5ubAR2bWzjkXegjnfHDOrcHrOl3gj0+cc3uBCgU4fgje9xxo/4/Aj8BT4V6jJNmfksYtk5eTkYdJwh67uA1VyidEPikREZE8GnL8EGb+OpMNezcEjXto0UOcVPckKiSE/SeGiETQtm3b2L17Nykph3qc1K5dGyCrKPZnZgwdOpQRI0YwZ84cfv/9dxo1yj5gbmahXbZsWQYNGpRt37x589izZw8A/fr1C5rbaaedBkBqaipLlizJ2s4p5zXCdeutt7J161Y6derElVeG/tCwpIlWC/VwvEGzHDAWaO2ce8w5N98597Nvme+cexxv6qkHfMcd5ztWBICxs35kw47QTwIM79KEU5rWikJGIiIieVc2viwjOo8IGffn/j/5zw//iUJGIpJXCxYsYMCAAdSsWZMjjjiCY445htatW2ctr7zyCkDAQb4uu+wy4uPjycjIYOLE7JMCpaSk8OabbwJw/vnnU7NmzWz7v/vuu6z1evXqYWYBl1atWmXF/vXXX+SmUqVKHH300fl/E3KYO3cu48ePJz4+npdeeom4uNI3iVS0vuOL8Yrp6c65e4MN8OWcy3DO3QdMw+sCfnGgWCl9mh9RiXJlgv+zPaZOJW49p0WUMhIREcmfTvU6cd7R54WMm7hqIr/u/jUKGYlIKKNGjaJLly5MnjyZnTt3Bo1NSkrK9fX69evTs6c3idCECRNw7lCXyxkzZmSdN2d3b4CtW7eGlfeBA7k3RFWrVi2s8/lLSUnhqquuAuD666+nbdu2BT5ncRStQckyPyZ5PR/HvAZciDfqtggAQ09tQtfmtbjxneW5DkqWEG+M69+W8gnxMchOREQkb27tcCvz/5jP36l/B4xJc2k8sPABXj/ndU39KBJDn3/+OaNHjwbg6KOP5tZbb6VLly40atSIihUrUqaMV1Ldd9993H///UHPNXz4cGbOnMm6deuYP38+3bp1Aw51927QoAFnn332Ycelpx9qj1y6dCkJCXl7rLFBg9yHpIqPL/jfylOnTuXnn38mISGB4447jrfffvuwmNWrDw3xtHLlyqyYTp060aRJkwLnUBREq6Cu6vv6Zz6O2ez7WqWQc5FirtkRlZn671N5ds4vPP/F2mzPU9901jG0OrJq4INFRESKgFqJtbjhxBt4YNEDQeO+2/IdM9fNpE/T0j2FkkgsZXblrl69OgsXLsx6VjqnUC3X4M1nXa9ePTZv3sz48ePp1q0bmzZt4tNPPwW8buG5dZv27wJeu3btgIVyNGU+P56amsoVVwSbOMkzZcoUpkyZAngfIKigzp+dwBFAE2BZHo/JfIdD/8uUUqdsmThuObsF3VscwS2Tl7NhxwE6NK7OVac1jXVqIiIiedLvmH5M/WUqq3cGn6Tjie+eoFuDblQtpw+MS4uERo04eub7sU4jphJyDNgVS6tWrQKgR48eAYtpyP6ccyDx8fEMGTKEhx56iPfee4/nnnuOiRMnkpGRkTVwWW7atWuXtZ75LLcUDdEqqJcC5wLX4E1VlRf/h/fcdV4LcCmF2jeuzofXd+WxT9Yw9NSjiI9TlzgRESke4uPiubP9nVz22WU4Ak9fsTN5J08vfZr7Tr4vitlJLMWVK0e5ENM0SfSkpXkTDgWbgmrZsmUsWrQoT+cbNmwYDz/8MPv37+edd95hwoQJgDc6d+bUWjmdeeaZVKhQgQMHDvDMM8/Qv3//mD8KMmTIEIYMGRI0Zu7cufTo0QOAkSNHMmrUqMgnFmWFPiiZmWWYWZqZHef38lu+r93N7HUzqxjk+Apm9ipwuu+lNws7RylZKpYrw6g+x9O4ZsB/ViIiIkXSsdWPpVPZTiHj3v35Xb7fdvhUPCISeZlzUH/11VesXbv2sP3btm3jkksuyfP5mjZtSvfu3QEYMWIEv/zyC5D7YGSZqlWrxrXXXgvA119/zU033URGRkbA+C1btvDqq6/mOScJX6RaqHN+XDIJuBo4BbgM6Glmk/Hmod6K1xJdB+gE9Acy+1IscM5NilCOIiIiIjF3ZuKZrExdyT63L2jc/d/cz9u93qZMXLQ6GIqUTMuXL89qFQ7m9NNPp1GjRlx66aXMnDmT/fv3061bN+68807at28PeMXtuHHj+Ouvvzj55JP55ptv8pTD8OHD+eKLL7KmtapSpUrI+aXHjBnDvHnzWLRoEU8//TRz587liiuuoG3btlSsWJFdu3axatUqZs+ezUcffUTr1q0ZPlwzEEdaVH4jO+ecmfUGPgQ64z1PfY1vySmzGP8GOD8a+YmIiIjESnkrT8/Enkw+MDlo3Jpda3jrp7e45Li8t4SJyOFmzJjBjBkzQsZNmzaNRo0a0a9fP4YOHcr48eP5888/uf7667PFxcfH8+STT7Jr1648F9QXXXQR1atXZ9euXQAMGDCAChUqBD2mXLlyfPbZZwwZMoSpU6fy/fffZ7Va56ZKFY3tHA1Rm3nbObcL6AJcB/yIVzjntvwIXAt09R0jIiIiUqK1TmjNSXVOChn33LLn2LJ/SxQyEhF/r7/+Om+88QZdu3alcuXKlCtXjsaNG3PJJZfw9ddfc8MNN+TrfOXLl+fiiy/O2g7W3dtf5cqVmTJlCl9++SXDhw+nRYsWVK5cmTJlylCjRg06duzINddcw6xZs/jss8/ylZOEJ6p9hpxzGcDzwPNmVg9vfuoavt07gZXOuc2BjhcREREpicyM2068jYGfDCQ1IzVg3IG0Azy6+FGe6P5EFLMTKf66d++Oc4EH/8uLwYMHM3jw4ID7R40ala9Bt1auXAnAcccdR+fOnfOVS5cuXejSpUu+jgGYMGFCnrq7F5bCeN+Luqi1UOfknNvsnPvMOfeOb/lMxbSIiIiUVo0rN2ZY62Eh4z797VMWbFoQhYxEJFLWrFnD119/DeS9dVqKppgV1CIiIiKS3fDWw2lYuWHIuLGLxpKclhyFjEQkEh555BHA6/odauopKdoi2eV7vJkFnqwt75xz7oxCOI+IiIhIkVYuvhz3dLqHq2dfHTTuj7//4LWVr3FN29zGdxWRoiYpKYmtW7eSnJzM9OnTs7pdX3nlldSsWTO2yUmBRLKg7lAI5zC8KbVERERESoVTjzyVsxufzae/fRo07rUVr3Fek/M4qupR0UlMRMK2ZMkSevfune21hg0b5uuZaymaItnlO9Ao3vlZREREREqd2zveToUywafQSc1IZeyisSV+wB+RksTMqF+/PoMHD+arr76ievXqsU5JCiiSLdStnHOrI3h+ERERkRKpTsU6XNvuWh5d/GjQuIWbF/Lxho85t8m5UcpMRMLRpUsX0tPTiYvTEFYlje6oiIiISBH0r2P/xbE1jg0Z9+jiR/n74N9RyEhERHJSQS0iIiJSBJWJK8OIziOwEE/BbU/aznPLnotSViIi4k8FtYiIiEgRdULtE+h7TN+QcW+veZvVO/SknYhItKmgFhERESnCbjzxRmqUrxE0JsNlcP8395OekR6lrEREBFRQi4iIiBRpVctV5ZYOt4SMW7ljJe/9/F4UMhIRkUwqqEVERESKuN5H96ZDnQ4h455e+jTbk7ZHISMREYHIFNRNgKOBnyNwbhEREZFSx8wY0XkEZSz4jKd/p/7N4989HqWsRESk0Atq59xvviWtsM8tIiIiUlo1rdaUy46/LGTch+s+ZNHmRVHISERE1OVbREREpJi46oSrqF+xfsi4BxY+wMH0g1HISESkdFNBLSIiIlJMJJZJ5K5Od4WM27B3AxNWTYh8QiIipZwKahEREZFipHvD7vRo2CNk3H9++A9//P1HFDISESm9VFCLiIiIFDN3nXQXiWUSg8akpKfw0KKHcM5FKSsRkdJHBbWIiIhIMVOvUj2uPuHqkHFfbvqSz3//PAoZiYiUTiqoRURERIqhS467hGbVmoWMe/jbhzmQeiAKGYmIlD4qqEVERESKoYS4BEZ0HhEybsuBLbyw/IUoZCRSdM2dOxczw8wYNWpUrNMpUbp375713oZaSiIV1CIiIiLFVPs67Tm/6fkh4/734/9Ys3NNFDISESldysQ6AREREREJ380dbuaLP75g78G9AWPSXToPLHyAiedOJM7UniIiha9Dhw6MHz8+1mlEnQpqERERkWKsRvka3NT+JkZ/Mzpo3PJty5m+djoXNb8oSpmJSGlSsWJFWrVqFes0ok4fUYqIiIgUcxc1v4gTap8QMm7cknHsSt4VhYxEREoHFdQiIiIixVycxXFv53uJt/igcXtS9vDkkiejlJVIybF//37eeecdhg8fTtu2balatSoJCQnUrl2bbt268fjjj7Nv375cj3355ZepXr068fHxLFy4MOS1+vbti5lRo0YNkpOTc42ZPn06F198MY0aNaJ8+fJUq1aNDh06MHr0aHbtCvyh2ZAhQzAzjjrqKAA2b97MHXfcwfHHH0/lypUxM+bOnRsyRzlEXb5FRERESoAWNVowsOVA3lj9RtC4aWuncWHzC2l3RLsoZSb5lZaazp5tSbFOI6aq1k6kTELwD4ii6bzzzmPevHmHvb59+3bmz5/P/PnzeeGFF5g1axbHHntstpj+/fszcuRIUlJSmDBhAp07dw54ne3btzNz5kwABg4cSPny5bPt37VrF/369WPOnDnZXk9JSWHJkiUsWbKEF154gRkzZgS9DsDChQvp3bs327dvDxonwamgFhERESkhrml7DZ9s+IStB7YGjRvzzRgm955MQlxClDKT/NizLYm3x3wb6zRi6p/3nUTN+pVinUaWtLQ0WrduTZ8+fejQoQP169fHOcdvv/3GtGnTmDx5MuvXr+eCCy5g+fLl2Qrh6tWr06tXL6ZMmcLbb7/Nk08+SWJiYq7XmTRpEqmpqQBcfvnl2falpKRw5plnsnTpUuLj4xk4cCA9e/akSZMmpKamMn/+fMaNG8fWrVvp2bMny5Yto3HjxrleZ9++ffTt25fk5GTuuecezjrrLCpUqMCKFSuoV69eWO/RTz/9RKdOnVizZg3JycnUqlWL9u3b07dvX/71r3+RkFAyf9+ooBYREREpISomVOTOk+7k5rk3B41bu3stk1ZPYkirIdFJTKSYGz9+PM2bNz/s9U6dOtG/f3+GDRvGOeecw5o1a5g0aRLDhg3LFnfppZcyZcoU9uzZw7Rp0xg4cGDA6wCccMIJnHjiidn2jRkzhqVLl1KtWjVmz55N+/bts+3v0qULgwYN4uSTT2bz5s3cfffdTJo0Kdfr7Nixg0qVKvHVV19xwgmHxl/o2LFj6DcjgC1btrBly5as7U2bNrFp0ybef/99HnnkEd577z1atmwZ9vmLKj1DLSIiIlKCnNnoTLoc2SVk3Avfv8DmfZujkJFI8ZdbMe3vzDPPpE+fPoD3fHNOXbt2pWnTpgABp5ZaunQp33//PXB46/S+fft4/vnnAbj//vsPK6YzNW7cmHvvvReAd999l/379wfM+fbbb89WTIcrLi6OM844gyeeeILZs2ezbNky5s+fz1NPPZVVQK9evZoePXrw+++/F/h6RY0KahEREZESxMy4u9PdlIsvFzQuKS2Jh799OEpZiZQs27Zt45dffmHlypVZS+3atQGyimJ/ZsbQoUMBmDNnTq6FZWahXbZsWQYNGpRt37x589izZw8A/fr1C5rbaaedBkBqaipLliwJGJfzGuGaOnUqs2fP5uabb+aMM86gbdu2dO3alRtuuIHvv/+eyy67DPBasG+88cZCuWZRooJaREREpIRpWLkhV7S+ImTcnD/mMO+PwwdaEpHDLViwgAEDBlCzZk2OOOIIjjnmGFq3bp21vPLKKwABB/m67LLLiI+PJyMjg4kTJ2bbl5KSwptvvgnA+eefT82aNbPt/+6777LW69Wrh5kFXPzngv7rr79yzaVSpUocffTR+X8TclGtWrWA+xISEnj11Vdp0aIFANOmTWPTpk2Fct2iQgW1iIiISAk0tNVQjqpyVMi4h759iKS00j2itEgoo0aNokuXLkyePJmdO3cGjU1Kyv3nqX79+vTs2ROACRMm4JzL2jdjxoys8+bs7g2wdWvwgQYDOXDgQK6vByuCC1uZMmWyPVOe22jpxZkGJRMREREpgcrGl2VE5xEM/3R40LhN+zbxnx/+ww0n3hClzESKl88//5zRo0cDcPTRR3PrrbfSpUsXGjVqRMWKFSlTxiup7rvvPu6///6g5xo+fDgzZ85k3bp1zJ8/n27dugGHuns3aNCAs88++7Dj0tPTs9aXLl2a5xGzGzRokOvr8fHRnZLsuOOOy1ovaS3UpbKgNrMqQE+gI9ABOBKoDSQCu4HVwCzgNefcjgDn6A58kcdLjnbOjSpIzr5rVgCuBS4GmgLlgD+AD4FnnHO/FfQaIiIiUnJ0qteJnk16Mmv9rKBxE1ZNoPfRvTm6WuF0ARUpSTK7clevXp2FCxdmPSudU6iWa/Dms65Xrx6bN29m/PjxdOvWjU2bNvHpp58CXrfwuLjDOxH7dwGvXbt2wEK5qDKzWKcQMaWyoAZOAt4KsK820M233GZmg51zn0QtswDMrBlekZ9ziMEWvmW4mQ1yzn0Q9eRERESkyLqt4218ufFL/k79O2BMWkYaDyx6gNfOfq1E/+FbXFStncg/7zsp1mnEVNXauc/THAurVq0CoEePHgGLacj+nHMg8fHxDBkyhIceeoj33nuP5557jokTJ5KRkZFt4LKc2rVrl7We+Sx3cbJ69eqs9fr168cwk8JXWgtq8Fp2vwCW+NY34z1T3gDoB1wE1ALeN7OTnHOHD9d3yOXA4iD7w3vowcfMKuO1QmcW068AbwNJQA/gLqAK8I6ZneqcW16Q64mIiEjJUSuxFtedeB0PLnowaNzivxbzwboP6N20d5Qyk0DKJMRTs36lWKchPmlpaQBBp6BatmwZixYtytP5hg0bxsMPP8z+/ft55513mDBhAuCNzp05tVZOZ555JhUqVODAgQM888wz9O/fv9h8+JWWlsbrr7+etZ05CnlJUVoHJfvCOdfIOXeZc+4Z59w059xC59zXzrnJzrn+eEU1QFlgZIjzrXfOrQyyFKigBm4DjvGt3+6cu9I5N8c5941z7kHgHCANqAA8VcBriYiISAnT/5j+HF/z+JBxj3/3OHtS9kQhI5HiI3MO6q+++oq1a9cetn/btm1ccskleT5f06ZN6d69OwAjRozgl19+AXIfjCxTtWrVuPbaawH4+uuvuemmm8jIyAgYv2XLFl599dU85xSuL774gt27dwfcn5qayvDhw/nxxx8B6N27Nw0bNox4XtFUKluonXPpeYiZbmZr8LpTd418VrkzswTget/mj8ATOWOcc1+b2WvAVUA3M+vonAvWYi4iIiKlSHxcPPd2vpd/ffgvHC5g3M7knTyz9BnuPfneKGYnEl3Lly/PahUO5vTTT6dRo0ZceumlzJw5k/3799OtWzfuvPNO2rdvD3jF7bhx4/jrr784+eST+eabb/KUw/Dhw/niiy+yprWqUqVKyPmlx4wZw7x581i0aBFPP/00c+fO5YorrqBt27ZUrFiRXbt2sWrVKmbPns1HH31E69atGT48+KCEBTVx4kT69OlDnz596N69Oy1atKBKlSrs27ePJUuW8J///Ceru/cRRxzB008/HdF8YqFUFtT5kPmwUfkY5tADqOpbn+icC/RR1AS8ghrgQoJ3QRcREZFS5vhaxzOgxQDeXvN20Lh3f36XC5pdQOvaraOUmUh0zZgxgxkzZoSMmzZtGo0aNaJfv34MHTqU8ePH8+eff3L99ddni4uPj+fJJ59k165deS6oL7roIqpXr86uXbsAGDBgABUqVAh6TLly5fjss88YMmQIU6dO5fvvv89qtc5NlSpV8pRLQe3bt48333wzax7t3LRu3Zq3336bJk2aRCWnaCqtXb5DMrMWQFvf5k8xTKWL33qwSdu+AzInmjs1cumIiIhIcXXdiddRs3zNoDEOx/0L7yctIy1KWYkUfa+//jpvvPEGXbt2pXLlypQrV47GjRtzySWX8PXXX3PDDfmbdq58+fJcfPHFWdvBunv7q1y5MlOmTOHLL79k+PDhtGjRgsqVK1OmTBlq1KhBx44dueaaa5g1axafffZZvnIKxx133MGTTz5J//79adWqFXXq1CEhIYFKlSrRtGlTBgwYwLvvvsuyZcuyTZ1VkqiF2o9vWqojgd7A7Rx6f54KcehYM2sA1MUrajcAc4EXnXM/FzAt/395AQt751yama0F2gAtC3hNERERKYGqlK3CbR1v484v7wwa9+POH3lnzTsMajkoSpmJRFb37t1xLvDjDnkxePBgBg8eHHD/qFGjGDVqVJ7Pt3LlSsCbo7lz5875yqVLly506dIldGAOEyZMyFN397xq2bIlLVu25MYbbyy0cxY3pb6gNrMhwPggIQ8DgfsveE7xWy+L17LdFrjezO7Hm4c63J/gzEnm9jvndoeI/QOvoK5tZuWccyn5uZDvQ4Fg6mauJCUlkZSUlJ/TSyFKTk7OdV1KJt3v0kX3u3SJxf3uUbcHHY/oyOKtwZ8Oe3bps3St05XaiYGnCZL887/PmX8eBhtcSoo3/3vrv75mzRq+/vprAIYOHap/A2FwzpGRkZHnmiRStUupL6iDWA5cGWJwr83AVOArYB3eSNuNgF7ApUAC3gjhZYG7w8yjsu/rvjzE+o/lXwnIV0GNV5Dnyfz586lVq1Y+Ty+RMH/+/FinIFGk+1266H6XLtG836ekn8JSlpJO4HFa96ft586P72RAxeI1321xkpycTFxcHHv37o11KhIF+/Yd+nN+7NixgNf1+6KLLtK/gXxKS0vLauD76ae8PZ27ffv2iOSighqm4z1/DJAINAX64w3s9ZaZ3eic+yCX4xYDjZ1zqTleXwpMN7P/AJ/iDSh2p5m9E2Iu60AyB0Q7mIdY/wI6MYxriYiISClQO742Xct1ZW7K3KBxK1JX0D61Pc0SmkUnMZESKikpic2bN3PgwAFmzZqVNYDXZZddRo0aNWKcnRSEFfRZgpLKzC4BJgIOGOacmxDGOQYDb/g2X3XOXRHGOVbhPUe9xTlXN0TsO3gfBgDUcs7tyOe18tLlezHAzz//TIMGocIlUpKTk7NaMk477TTKl4/lQPQSabrfpYvud+kSy/udnJbMvz75F5v2bwoa17BSQ948503KxZeLUmYlW+Y9r1mzJtWrV6ds2bI0bdo01mlJhGRkZLBv3z6++uorevfunW1fw4YNWbZsGdWrV49RdsXXr7/+SmpqKvHx8TRq1ChPx2zcuJFjjjkmc7Ohc25jYeSiFuoAnHNvmFkvvAL1OTN73zm3M5+neRt4HqgCdAszlcypuyrlIbai33peuohnE+oflZllrScmJpKYqEbwoqB8+fK6F6WI7nfpovtdukT7fieSyIiTR/Dv2f8OGvfHvj94a+1b/Ltt8DjJv8y/reLiNPFOaWFm1KtXj9NPP52xY8dSs2bwUfclMDMjLi4uz783I/X7VT+9wWVOUFcR+Ed+D3bOpQGZo3wfGWYOmUVuRTOrFiK2oe/rtvwOSCYiIiKlT5cju3BW47NCxr2y4hV+2/tbFDISKZm6dOlCeno6GRkZbNq0iTfeeCPPLatStKmgDm6b33rjMM9R0D71q/3Wjw0UZGZl8J7/BvixgNcUERGRUuKOjndQoUyFoDGpGamMXTi2wNMOiYiUNCqog/NvVc53F2pfkZvZUf/PMHP4ym89WLfxDhzq8r0gzGuJiIhIKVOnYh2uaXtNyLhvNn/DJxs+iUJGIiLFhwrq4C72W18RxvED8Eb5BpgXZg5zgT2+9cvM/0Hm7Ib4rU8L81oiIiJSCg1sOZAW1VuEjHt08aPsO5jvNgYRkRKrVBbUZjbEzIIOo2lmNwE9fZvrgS/99lU3s+4hjj8JeM636YAXA8RNMDPnWw47p3PuIPCMb7MlcGsu5zgZGObbnBdi7mwRERGRbMrElWFE5xEh47YlbeO55c+FjBMRKS1K6yjfo4AnzGwKXpfqX/G6dFcGWgODgFN9sQeBK51z6X7HVwW+MLMf8OaxXgJsBtKBRkAv4BKgrC/+cefckgLk+xhea/cxwKNm1gxvBPEkoAdwN969TAJuLMB1REREpJRqe0Rb+jbvy5RfpgSNe+unt+jTtA/H1TwuSpmJiBRdpbWgBqgBXOFbAtkIXO6cmx1gfxvfEkg6cD8wJqwMfZxzf5vZecAsoDlwpW/xtxcY5JxbXpBriYiISOl1U/ubmPP7HHal7AoYk+EyeGDhA7xx7hvEx8VHMTsRkaKnVHb5Bs4BbgGmAj8AW4A0vDmffwWmAEOBFs65z3I5/k+856vH4bVwr/cdmwpsxxsUbCzQzDk32hXCkJjOubVAO+AO4DtgN3AAWAM8CbRxzn1Q0OuIiIhI6VW1XFVu7nBzyLgV21eEbMkWESkNSmULtXNuDV4hOi7M4w8C7/mWguYyhOwDigWL3Q886ltERERECt35Tc9n2i/TWLp1adC4p5Y+xemNTqdWYq0oZSYiUvSU1hZqEREREcmFmXFv53spY8HbXf4++DfjvgurbUJEpMRQQS0iIiIi2TSr3oxLjr8kZNzMdTNZ/JcmFxGR0ksFtYiIiIgc5uo2V1OvYr2QcQ8sfIDU9NQoZCQiUvSooBYRERGRw1RIqMCdJ90ZMm7dnnVMXD0xChmJiBQ9KqhFREREJFenNzqd7g26h4x7+fuX2fj3xsgnJBJjEyZMwMwwMzZs2BDrdKQIUEEtIiIiIgHd2elOyseXDxqTnJ7Mw98+TCHMFCoSNfPmzcsqjs2Mr7/+OtYpFYohQ4Zk+74++uijkMdkxg4ZMiTyCZYwKqhFREREJKAjKx3JVSdcFTJu3sZ5zPljThQykkgbN24co0aNYty4kj2K+8SJ2R9V+O9//xujTCJr5MiRsU4BOFS0jxo1KtapFCoV1CIiIiIS1GXHXUbTqk1Dxj387cMcSD0QhYwkksaNG8fo0aNLdEGdlJTEe++9B0ClSpUAmDx5MikpKbFMKyIWL17M+++/H+s0SiwV1CIiIiISVEJ8AiM6jwgZ99f+v3jp+5eikJFIwUybNo2///4bgGeeeQaAXbt2MXPmzFimVehq1aoFeK3UeiQjMlRQi4iIiEhIHep2oE/TPiHj/rv6v/y86+coZCQSvszu3W3atGHo0KG0aNEi2+slxe233w7A8uXLmTp1aoyzKZlUUIuIiIhIntzS4RaqlK0SNCbdpfPAwgfIcBlRykokfzZv3szs2bMBGDx4cLavH3/8Mdu2bSvwNdLT05k4cSK9e/emZcuW1KlTh9q1a9OlSxfGjRtHUlLSYcf88ssvVKpUCTOjXbt2HDx4MNdzp6Wl0alTJ8yMxMREVq9eHTCPa665hjp16gBeK3VGRsF+Lv/66y/uueceOnToQI0aNShXrhwNGzakf//+We9pTkcddRRmlrU9evTobIOmFffB0FRQi4iIiEie1Chfgxvb3xgybtnWZcxYOyPyCYmEYdKkSaSnpxMXF8fAgQMBGDRoEGZGamoqb731VoHO//vvv9O+fXuGDBnCrFmz+Ouvvzh48CA7d+5kwYIF3HLLLbRp04aff87ek6N58+Y8+eSTgNeiPGJE7o9ZjB49mm+//RaARx99lOOOOy5gLhUqVODOO7355FetWsU777wT9vc1adIkmjVrxoMPPsiSJUvYtWsXBw8eZOPGjbz77rucddZZDB8+nLS0tLCvURypoBYRERGRPOvbvC9tarcJGTduyTh2J++OfEIi+fTGG28A0L17d4488kgAmjRpwimnnAIUrNv3jh076NKlC99//z3lypXjmmuuYcKECcyZM4fPP/+cu+66iwoVKrB27VrOPfdc9uzZk+34K664gvPPPx+AJ554gi+++CLb/gULFvDQQw8B8I9//INrr702ZE5XX3019evXB7xiPD09Pd/f1+TJk7nkkkvYv38/Rx99NOPGjePjjz9myZIlTJkyhZ49ewLw2muvZXUzz/Tpp5+yYsWKrO1///vfrFixItsyduzYfOdUVKigFhEREZE8i7M47u18L3EW/M/I3Sm7eXLpk1HKSiRvli9fzg8//AAc6uadKXN7yZIlQbtRB3P99dfzxx9/0LhxY3788UeeeeYZzj//fNq1a0f37t158MEH+eqrr6hYsSLr1q3j0UcfPewcr776KnXr1iUjI4NLL72UXbt2AbB3714GDx5Meno6tWrVYvz48dm6UgdSvnx57rnnHgDWrFnDpEmT8vU9bd++nSuvvBLnHJdffjlr1qzhpptu4pxzzuHEE0/koosu4sMPP+Tuu+8G4Omnn2bNmjVZxx9zzDG0atUqa/uII46gVatW2ZbMDzaKIxXUIiIiIpIvx9Y4loHHDgwZN/WXqSzbuiwKGYnkTWbrc2JiIn379s22r3///pQtWzZbXH5s2LAhq0v1c889R5MmTXKNa9euHddccw0AEyZMOGx/rVq1mDBhAmbGxo0bufrqqwG49tpr2bBhAwCvvPIKdevWzXNuw4cPp1GjRgCMGTMmX92yX3zxRfbs2cORRx7JCy+8QJkyZXKNGz16NEceeSQZGRklbnC3YFRQi4iIiEi+XdvuWo5IPCJk3P0L7yc1IzUKGYkEl5aWxptvvglA7969qVIl+wB7NWrUyOq6PGnSpHwP4PXhhx+Snp5OhQoVOPfcc4PGnnbaaQD8+eef/P7774ftP+ecc7juuusAr7v1wIEDs7qqDx8+nAsuuCBfuZUtWzbrmexff/0110I+kMw5rHv16kW5cuUCxpUpU4aTTz4ZgG+++SZf+RVnKqhFREREJN8qJlTk9pNuDxn3y65fePPHN6OQkRSGgwcPsmnTJgA2bdoUcKTp4uiTTz5hy5YtwOHdvTNlvr5x48bDnl8O5bvvvgPgwIEDlClTBjMjPj6e6tWrU716deLj47NGte7Vq1fWcX/99Veu53vkkUc4/vjjAbIGSmvevDlPPfVUvvLKNHToUI4++mgAHnjggTzd2/T0dJYvXw7Ayy+/fNjo3DmX9957L+j3VBKpoBYRERGRsJzd+GxOrX9qyLjnlz/PX/tLzx/YxdWyZcvo2LFjttc6duzIsmUlo9t+ZjfkmjVr8o9//CPXmF69elGtWrVs8Xm1devWsPI6cOBArq+XL1+e5557LttrEyZMoGLFimFdp0yZMtx3330A/Pbbb7z22mshj9m5c2dYo3YH+p5Kotw7wIuIiIiIhGBm3N3pbi6ccSEHMwK3diWlJfHIt4/wZA8NUlYUHTx4kLFjx/Lggw8eVjz98MMPnHTSSdx9993cc889Wc8YFzd79uzJ6rq8Y8eOPH0fU6dO5YUXXshzAZs5enatWrWyWrczMjLYt28fAJUqVSIu7vD2zEDPWgM8++yz2bY//fTTrNHIwzF48GAefPBBfv75Z8aOHcvll18etBu3/4jgw4cP54YbbsjTdYrrv5NwqKAWERERkbA1qtKI4W2G88LyF4LGzf59NvM3zue0BqdFKTPJi2XLljFkyJCska8B2rRpw4033shTTz3FDz/8QFpaGmPGjGH69OlMmDCBdu3axTDj8EyePJnk5OR8HbNv3z6mTp3KJZdckqf4mjVrAvD333/TsmVL4uPjycjIYO/evQBUqVIl14I6kNdff52pU6dmHbt3717Gjh3LueeeS6dOnfL1vWSKj49n5MiRDBo0iE2bNvHSSy8FLZJr1KiRte6cyzZat3jU5VtERERECmRYq2E0rtI4ZNyDix4kKS0pChlJKAcPHmTkyJGcdNJJWcV0ZpfgxYsXM3ToUBYvXsx9992XNapzZmv1yJEji92z1Zndt+vVq8dbb70VcmnQoEG24/Ii84OGlJSUrOepw7Vu3bqsQrdVq1YsWbKEatWqkZaWxuDBg9m/f3/Y5/7nP//JcccdB8DDDz9MUlLgn8myZctmPce9YMGCsK9ZkqmgFhEREZECKRtflns63RMybtO+TbzywytRyEiCyXxW2n/6pDZt2vDtt98yevTorO66ZcuWZfTo0Xz77be0adMGIKu1ujg9W71+/fqsYrBv377885//DLlkTqk1Z86crEHaQundu3fWvNDhDhwGXjfrwYMHs2/fPsqVK8ekSZNo1qwZL730EgBr167lxhtvDPv8cXFxjB49GvAGD3v++eeDxvfp0weAn376iU8++STs65YvXx7wPnAoSVRQi4iIiEiBnVz/ZM49KvhUQQDjV41n3Z51UchIcrNt2zZOPfXUXFulA3XlbteuXa6t1aeeeirbtm2LWu7h+u9//4tzDoB+/frl6ZjMuIyMDP73v//l6ZgWLVpw8cUXA/D2228zbty4oPHr16/PGr3b39ixY7OmnXrwwQezPswYMGBA1ijkr776KjNmzMhTXrnp27cvJ5xwAuCNJh7MDTfcQKVKlQBvpPBVq1YFjf/www+zPUKQqV69eoA3bVdJooJaRERERArFbR1vo1JCpaAxaRlpjF04NqvAkeiqXbs2t912G5B7q3QgubVW33777dSuXTviORdU5vzNRxxxBF27ds3TMaecckpWAZh5fF68+OKLWVNT3XLLLfTo0YM33niDxYsXs2zZMmbPns0TTzzBWWedRbNmzZgyZUq247/99lvuv/9+AM444wxuuummbPuff/55Gjf2Hq+44oorsqYByy8zy2ql3r59e9DYOnXqMHHiRMyMzZs306FDB/7973/z/vvvs3TpUhYtWsSUKVO44447aNq0Kb169cp1bu3MwdTef/99Xn75ZVauXMnatWtZu3Zt2COkFwUalExERERECkXtCrW5tt21PPztw0Hjvv3rWz5c/yG9ju4VNE4i45577qFWrVpcddVV+R6NObO1+uWXX+aqq66KUIaFZ8GCBVktohdeeGGeBwWLi4vjwgsv5IUXXmDVqlUsWbKE9u3bhzyuRo0aLFiwgP79+/Pll18yf/585s+fHzC+SpUqWev79+9n8ODBpKWlUb169awiNmf8G2+8Qffu3dm2bRuXX345H374YZ6+p5zOP/98OnTokKfnvS+66CJmzJjBkCFD2LlzJy+99FJWF/Sc4uLich0Z/dZbb+W9994jJSWFq6++Otu+yy67jAkTJoT1fcSaWqhFREREpND8s8U/aVmjZci4xxY/xp6UPVHISHIqW7Ys1113XdhTGxX0+GjyH1Qs87novPKPz8/gZHXr1mX+/Pl88MEHDBw4kKOOOooKFSqQkJBA7dq1OeWUU7jllluYN28er7/+etZxN910E7/88gsAL730EkceeWSu5+/atSt33HEHALNmzeKFF4KPsB/MmDFj8hzbu3dv1q9fz+OPP87pp59OnTp1SEhIIDExkSZNmtCrVy/GjRvHhg0b6NGjx2HHt23blm+++YZ//etfNGrUKOh0XcWJqbuN5JWZNQD+APjjjz+yRj+U6EtKSuLTTz8F4OyzzyYxMTHGGUkk6X6XLrrfpUtJvd8rt69k4IcDcQT/O3NAiwGM6DwiSlkVDZn3vGbNmtSoUYOEhASaN28e67QkQgoybZYE9ssvv5CWlkaZMmXy/POzceNGGjZsmLnZ0Dm3sTBy0R0VERERkULVqlYr+rfoHzJu8prJrNi2IgoZiYhEhgpqERERESl01594PTXL1wwa43Dcv/B+0jPSo5SViEjhUkEtIiIiIoWuStkq3Nrx1pBxP+78kbfXvB2FjERECp8KahERERGJiPOanEenup1Cxj237Dm2HSj68xmLiOSkglpEREREIsLMuLvz3ZSJCz5T677UfTy2+LEoZSUiUnhUUIuIiIhIxBxd9WiGHj80ZNxHGz7i6z+/jkJGIiKFRwW1iIiIiETUlW2u5MhKuc+p6+/BRQ+Skp4ShYxERAqHCmoRERERiajyZcpzd6e7Q8b9tvc3Xl/5ehQyEhEpHCqoRURERCTiTmtwGmc2OjNk3Ltr3iU5LTkKGYmIFJwKahERERGJijtOuoPEMokB95/f9Hze6/Me5cuUj2JWIiLhU0EtIiIiIlFRt2Jdrml7zWGvN6vWjAn/mMADXR6gRvkaMchMRCQ8KqhFREREJGoGthxI8+rNAUgsk8hN7W9icu/JtK/TPsaZiYjkX/BJAUVEREREClFCXAL3db6P8SvHc8dJd1C/Uv1YpxQTzjkA0tPTcc5hZjHOSKR4cM6Rnp4OQFxc7NuHVVCLiIiISFS1PaItT5/+dKzTiKnMQto5R0pKCuXL67lxkbxISUnJ+kCqbNmyMc5GXb5FRERERKLu4MGDWet79+6NYSYixYv/z0vFihVjmIlHLdQiIiIiIlHmX1Dv2LGD+Ph4qlWrRnx8fAyzEim60tPT2b17Nzt27Mh6rVKlSjHMyKOCWkREREQkytLT06levTp79uwBYOvWrWzdupX4+Hg9T13CpKWlAbBt27YYZ1J8+T83nal27dpFosu3CmoRERERkRioVq0aQFZRDRxWNEjx5pwjKSkJgMTERH1YUkiqVq1KzZo1Y50GUEoLajOrAvQEOgIdgCOB2kAisBtYDcwCXnPO7QhwjgTgDOAcoBNwDFAV2A+sAz4HXnTOrSuEfOcC3fIS65zTT6mIiIhIMWBm1K9fnxo1arB7924OHDiggrqEycjIyCqoK1WqVCRGpS6u4uPjqVChAtWqVStSg/iVyoIaOAl4K8C+2njFazfgNjMb7Jz7xD/AzGoDPwK5fSxSFWjnW643s9udc6V7GEsRERERCah8+fLUrVs31mlIBCQlJfHTTz8B0L59exITE2OckRS20lpQA/wBfAEs8a1vxhv1vAHQD7gIqAW8b2YnOee+9zu2HIeK6eXADGARsAWvoD4XuA4oDzxlZknOuf8UQs7fAUML4TwiIiIiIiJSQKW1oP7COdcoyP7JZnYBMA0oC4zEK7AzOeAz4D7n3MLczm9mU/AK9kTgUTN7yzn3dwHz3u+cW1nAc4iIiIiIiEghKJWd+J1zIR9Occ5NB9b4Nrvm2LfJOXd2gGI6M2YR8IJvsypwVnjZioiIiIiISFFUKgvqfMhsUQ73qfcv/NabFjAXERERERERKUJUUAdgZi2Atr7Nn8I8TTm/dQ3ZKCIiIiIiUoKooPZjZhXMrLmZ3QzM49Az5k+FeUr/qa5+LEhuPsea2SIz221myWa20cxmmNmlvmm8REREREREJEpK66BkWcxsCDA+SMjDwJthnLceh0bk3kb27t/hquNbMh3pW/oAd5hZP+dc2IW7mTUIEZI1n0NSUlLWnHoSfcnJybmuS8mk+1266H6XLrrfpY/ueemi+110RKp2MedcRE5cXAQpqJcDVzrnFodxTsObSqu376XrnXPPFiDHOUAGMAv4HtgBVAZOBK4CWvpCtwAnOed+D/M6ef7H8Oqrr1KrVq1wLiMiIiIiIhJV27dvZ/jw4ZmbDZ1zGwvjvKW+hRqYjje/M3hTXDUF+gMXAm+Z2Y3OuQ/yec67OVRMfwE8X8AcL3LO7c7l9S/N7AXgFeAyvNbrp8g+xVdE7Ny5M9KXEBERERERKRQ56pf4wjpvqW+hDsTMLgEm4s05Pcw5NyGPxw0C3gAMWA+c4pz7K1J5+q5ZBlgJtPC91MA5tymM84Tq8t0G+DC/5xURERERESlCOjrnvgsdFpoGJQvAOfcG8C7ee/ScmdUIdYyZnYfXfdyAv4CzIl1MAzjn0oDX/F7qFig2xHk2BluArYWSsIiIiIiISAmgLt/BzcDr/l0R+AdBBiczs+7Ae0ACsAs4xzn3a+RTzLLab/3ICF1jBdDRt74NTQUWS3WBzOf7O+J9gCMll+536aL7Xbrofpc+uueli+530REP1Patryisk6qgDm6b33rjQEFmdhIwEygP7APOdc79EOHccop4333nXAqHnjeXGPLGvcvyV2ENqiBFk+536aL7Xbrofpc+uueli+53kfNbYZ9QXb6D82/p3ZdbgJm1AT4GKgHJQG/n3KIo5JbTcX7rf8bg+iIiIiIiIqWKCurgLvZbP6xbgJkdA3wKVAdSgb7OubnRSS1bHmWAy/1emh/tHEREREREREqbUllQm9kQMysfIuYmoKdvcz3wZY79jYDZeFNVpQMDnXOzwshlgpk539I9l/09zKxakOMTgFc5NBf1TOfcH/nNQ0RERERERPKntD5DPQp4wsymAF8Bv+J16a4MtAYGAaf6Yg8CVzrnsgbgMrOaeMV0Q99LTwA/mVmrINfcFc5UVnjzS79vZu8Dc4E1wF68LubtgSs51N17K3BDGNcQERERERGRfCqtBTVADeAK3xLIRuBy59zsHK+3Bpr7bd/uW4KZCAzJZ46ZKgEDfUsgK4B/OufWh3kNERERERERyYfSWlCfA5yH1wrdDK/bdk0gCa+VdznwATDZOXcgRjlmegQvn5PxWqJr430YkAJswRt1+z1gmn8ruoiIiIiIiERWqSyonXNr8LpOjwvz+LmAhYrL47mGEKTl2jn3I/Aj8FRhXE9EREREREQKhzkX8emLRUREREREREqcUjnKt4iIiIiIiEhBqaAWERERERERCYMKahEREREREZEwqKAWERERERERCYMKahEREREREZEwqKAWERERERERCYMKahEREREREZEwqKAWERERERERCYMKahEREREREZEwqKAWERERERERCYMKapFizMweMTPnt3SPdU5S+MyskZmNNrPvzGybmSWb2R9m9qWZjTGzVrHOUQrOzMqa2XAz+8TMNptZipntM7M1ZjbezE6JdY4SmpkdYWa9fD+bH5nZdr/f0RPCON+5ZjbNzDb6/k1s9G2fG4H0JZ8K436bWQUzu8jMXjSzxWa2y8xSzWyHmX1jZqPMrG6EvxXJg8L++c5x7gpmts7vfBsKJ2uJtDKxTkBEwmNmbYGbY52HRJaZXQc8BFTMsauBb+kCVAFujG5mUpjMrDHwIXB8jl1lgWN8yxAzexa4wTnnopyi5N2WwjiJmcUB/wGG5dh1pG+5wMxeBa5yzmUUxjUlLAW632bWBlgAVMpldw2gs2+5ycyudM69U5DrSYEVys93AGOAJhE8v0SIWqhFiiG/P7TKAFtjnI5EiJmNAJ7BK6Z/Bm4DugPtgDN9218D+mO6GDOzBLIX0z8AQ4CTgbPx/sja79t3HXBHlFOU8P0OfBrmsWM5VEwvA/4FnOT7usz3+nDggYIkKIUqnPtdhUPF9ALgLuAs4ETgHOBlvN/xVYBJ6plQpBTk5zsbM2uH98F4MvB3YZxTosf0IbdI8WNmNwJPAj8B0/D+Awbo4ZybG6O0pBCZ2RnAbN/mf4HhzrnUALFlnXMHo5acFCoz6we869v8BujqnEvPEdPety8B2A3Uds6lRTNPyRszGw0sBhY757aY2VHAet/uic65IXk4xzHAKrwPTb8DTnPOJfntrwDMAzoAaUBL59zawvw+JG8Ker99j3LcAIx2zq0OEHM+3v/1BvwKNFcvldgojJ/vXM4ZDywC2gP34X2Q1hj4zTl3VCGkLRGmFmqRYsbMGgH3+zavBlRIlTC+Hggv+ja/B4YFKqYBVEwXe/7PRj+Us5gGcM4tAT7wbVYDWkYhLwmDc26kc+4D51xBuobeyKHH8q7zL6Z91ziA11sBX9xNBbiWFEBB77dz7mvn3IBAxbQvZgYw1bfZFK+XksRAIf1853QDXjG9BnikEM8rUaKCWqT4eR6ve9hE59y8WCcjEXE20Ny3/ohaIku8sn7r64LE/RrgGClBzMyA832bPznnFuYW53t9jW/zfN9xUnJ94bfeNGZZSKHyjZ8xxrd5tT4gL55UUIsUI2bWH+gF7ARujXE6EjkX+746DrVKYmY1zKy5mdWITVoSIWv81o8OEpf5R7QDfolcOhJjTYD6vvVQH5pm7j8SOCpSCUmRUM5v/bBeLFJsvYA3TsobemSv+FJBLVJMmFk14Gnf5h3Oue0xTEciq7Pv6wbn3N9mNtDMVgA78AYn2+GbSulWMysX+DRSTLwF7PWt3+F7ni4b34A15/k233TO7c0ZIyXGcX7rP4WI9d+vxwBKtm5+6z/GLAspNGb2T6AnsAu4JcbpSAGooBYpPh4F6uKNAvpajHORCPE9P32sb3O7mT0NTAJyzjV9DPAYMMf3YYsUU74Pxy4BDgCnAovN7FIz62xmZ5rZSLyWyLLAUvSHV0nXwG99Y4jYP/zWG0YgFykCzOwEDn2gtsI5p4K6mDOz6sBTvs07nXPbYpiOFJAKapFiwMy64k2Pkob3jI1G9yy5qnLod3Nr4HpgMzAYb07SCngtFZnPVZ4CvB7lHKWQOefexxuU5lWgLTARb1Tvz4BReMX2jXgjgEdyHlSJvcp+6/tCxO73W89tHmMp5ny9kF4FMnuu3BPDdKTwPAbUwfs9/0qMc5ECUkEtUsSZWVm8OacNeNI5tzLGKUlkVfRbL49XSPVwzk1yzu1yziU55+YDp+ONAA5woZl1inaiUnh8P+eX4g1GldvgUnXwPlQ5M5p5SUyU91sPNUBRit96YgRykdh7Dm96NPAGI50Zy2Sk4MzsNOBy1EhSYqigFin67sbrAvw7MDrGuUjkJefYftU5tyZnkG8aHf+WigERzUoixswq4s05fhdeL4RH8Z6HLYfXY+Fs4Cu8P6qnm9nNMUpVosP/d0Co0dz9x1BIChglxZKZ3YXXOw28uY+viWE6Ugh8PQ4yG0meds79EOOUpBCooBYpwszsWLw/ssGbi3R/sHgpEf7Osf1pkNjP8T7hBugYmXQkCkYBXX3rw5xzdzjnfnLOHXTO7XXOfQb0wJs2x4DHfM9USsnk/zsgVDdu/x4tobqHSzFiZlcBD/o2fwJ66m+AEuEeoAXe+AcjY5yLFJIysU5ARIK6Ca+FYh1QwTciZE7+g1WdbmZ1fesz9Z9v8eOcSzGzbUBt30t/BIlNNrPteIPV1Q4UJ0WXb+7gy32bPzvnJuYW55xLM7N78Vqq44AheL8fpOTxH4isQcAoj/9AZAF/V0jxYmb/wptOCeA34CzN7FFi3OH7OhvoHWD6+MwPyir6/d231Tk3J9LJSXhUUIsUbZnd+Y7Gm1onlHv91puQfcAaKT5WAd1964dNoZRD5v60oFFSVNXB6+YNsCxE7BK/9WMDRklxt9pvPdR99t+vkZ9LADPrA/wX74OzzcAZzrlQo71L8ZH5GMdQ3xJMLQ797TcPUEFdRKnLt4hI0TPfb/3oQEFmVgXvP1yATRHNSCLF/4OQUB9yJwQ4TkqW9cCfvvVuwQKB03xfNwEbIpWQRIeZnQFMxvtdsAOvZfrX2GYlIqGooBYpwpxzQ5xzFmwh+0BlPfz2bYhR2lJwU/zWLwwSdyGHRoT+MnLpSATtBPb61k82s2BFtX9xtT5yKUks+Ub8neHbPNbMOucW53s9s4V6hkYKLt7M7BS8+14O2AOc45xbFduspLCF+pvO93fdb77w3/xe7x7DtCUEFdQiIkWMb9TPj3yb//K1WmTje1b+Ad/mQWB8lNKTQuScywA+9G3WJ8Acs2ZWHXjE76UPIpyaxNZTQLpv/VkzyzYllm/7Wd9mmi9eiikza4v3e6Ai3qNa5znnlgQ9SESKDD1DLSJSNN0InAxUAz4ws6eAWXhT45yEN/p75oBF9zrn1OW7+BqDN/90BWCUmbUHJuINRlge6Iz376GRL/5z51yw0d8lhsysC9DM76VafuvNzGyIf7xzbkLOczjnfjazx4A78aZLW2BmjwC/Ak3xBjZq5wt/zDn3S6F9A5IvBb3fZtYU+ATvdz3ACGCPmfkPOJrTVufc1jBTlgIojJ9vKXlMPYREijczG8WhqRd6OOfmxi4bKUy+/7jfwxu4KjcOGOucuzfAfikmzOxMvMFnaoUInQP0c87tinxWEg4zmwBcltd4XxfP3M4TB7zCoVHgc/MacKWvp4PEQEHvt68Ay28Po9HOuVH5PEYKQWH9fIe4xgagMV6X76Pye7xEn1qoRUSKKOfcV2Z2PHAdcAHeyO1l8UZ+nQs865wLNTK0FAPOudm+eeeHAecCx+O1WKUBfwGLgTeB9/WsbOngK5KHmdkU4Eq8ueZrAdvx/j287Jz7KMgpREQkCtRCLSIiIiIiIhIGDUomIiIiIiIiEgYV1CIiIiIiIiJhUEEtIiIiIiIiEgYV1CIiIiIiIiJhUEEtIiIiIiIiEgYV1CIiIiIiIiJhUEEtIiIiIiIiEgYV1CIiIiIiIiJhUEEtIiIiIiIiEgYV1CIiIiIiIiJhUEEtIiIiIiIiEgYV1CIiIiIiIiJhUEEtIiIiIiIiEgYV1CIiIiIiIiJhUEEtIiIiIiIiEgYV1CIiIiIiIiJhUEEtIiIiRZ6ZbTAzZ2YTYpzHBF8eG2KZh4iIFA0qqEVERKLAzLr7CjFnZqNCxNY1s9V+8S+amUUp1RLNzBLMbJCZTfMV6QfMLNXMdpjZcjObZGbXmdkxsc5VRESKvjKxTkBEREQOMbMjgTlAZkH3tHPuxthlVHKYWQvgPaBVLrtr+JYTgIG++ETnXHL0MhQRkeJGBbWIiEgRYWaN8Irppr6XHnPO3R7DlEoMM6uJ997W9700D/gfsBo4AFTHK7R7AP8AEnM7j3NuCDAkstmKiEhxoYJaRESkCDCzJngF31G+l8Y650bELqMS504OFdOjnXOjcon5AnjWzCoDQ4H0KOUmIiLFlApqERGRGDOzZnjFdEPfSyOdc2NimFJJdL7v6xYg6HvrnPsbeCbiGYmISLGnQclERERiyPdc7zwOFdN35aWYNrMLzOxdM/vdzJLNbLeZfWdmI82sepDjso1SbWb1zOwRM1tlZn/79nUPEFvNzMb4Yvf7rjnfzAbl8XutamZ3mdkCM9tmZgfNbLOZzTSzfhEeeK2R7+t651xGuCcJNsq330jkeVqCXKOZmT1pZivMbI+ZJZnZOt+1O4Sbu4iIFD61UIuIiMSImR0HfA7U9b10s3PuyRDHVMcbWOv0HLvKAe19y/+Z2fnOuYUhztUZmAnUykOuLYCPOdQlPVNXoKuZneycuzbI8WcA7wA1c+yqC/TyLbPMbIBzbl+ofMJwEO89amZmZZxzaRG4RoGZ2a3Ag0BCjl1NfMulZvaAc+6+qCcnIiKHUUEtIiISA2bWBpgN1AYccJ1z7vkQx5TzHXMi3vO9bwKzgPV4BdhpwM3AEXjFaTvn3G8BTlcJmAKUB8YCn+ENztUa2JwjtgJe4V0TeMCXwz6gHTASaABcY2YznXOf5JL3qcBHvhy3AM8C3wN/4j3XPAAYDPQEJgJ9g70PYVoKdMP78OApM7vZOXewkK9xNlA2yP5jgLfx3offc+40s9uAR32bPwAvAr8Au4EWwLXAycC9ZrbdOadu6SIiMaaCWkREJPpOwCuOauIV01c5517Jw3H34RXTu4EznXNLcuz/yswmAd8A9fBaOgN1x66JVxR3cc597/f64lxia+MViic751b5vb7EzOYCK/AK8/8DshXUZpaAN5p2Al4Ld1/n3AG/kKXAB2Y2H/gPcJGZneWc+yxA3uF6Fq+gBrgG6GdmM4AFwLfAGudcwG7YeeGc+znQPjOrhvcBRgKwn0PPdGfuPw7vgw2A0XgDp/nns8TM3sb7wGEwMNbM3nDO7SpIziIiUjB6hlpERCT6LuBQ1+f/y0sxbWaV8ApBgHtzKaYB8LVI3+/bvNjMKgY57aM5iulg7s1RTGdeby0w3bfZJZfj/onXTTwZuDRHMe1/nlfwCluIwLRUzrkpeIVqZpFaB7gSr0D9EdhpZjPMbKDvQ4BCY2ZlgHfxWqgd3vuwPEfYLXjF9nccXkxnfg8ZwHVACl4Pg36FmaeIiOSfCmoREZHo8y+WeptZsG7CmboBVX3r74WIne/7moD3THUgk/JwXfDyfTPI/szivoavJdZfH9/Xec65bSGuk5n3yXnMK198U2V1wnv/knPsroaX6yRgVSEP/vUUcKZvfaRzbmouMb19X6cEayl3zu3G6xEAEXqfREQk71RQi4iIRN+LwGrfek/gLV8rZjD+Bd7mEKNHr/SLrUvu9jnn1uUx3+3OuR1B9u/0W68cIO9z8jDq9a0hci4w59xi59zFQA28gd3uwiuw/Yv95sBcM2tV0OuZ2dUc6lnwjnPu/lxiGuN1qwd4KA/vU+Z7GrH3SURE8kYFtYiISPRtw2uxXOvbvgiYYGbB/l8+IsxrVQjw+u58nCPXbtp+/Kehis+xL5y8E8M4Jl+cc0nOuS+ccw/7Cux6wIXAH76Qingty2Ezsx54z26D15V7aIDQwr63IiISJRqUTEREJAacc5vN7HTgS6Ax3uBhSWZ2ZYAuv/6F6olAah4vtTHA6+l5TrZgMvP+CLg9StfMN+dcOjDdzH7FK37LAqebWQ3n3M7gRx/OzJrhtXyXwRs1/QLnXFKAcP97Owbveeu82J/fvEREpHCpoBYREYkR59wfvvmZ5+NNHzUcSAKuzyXcv8v1NudcoEK5qNmB972Vdc6tDBUca865FWa2CG9+bQOakr1Le0hmVhVvmrEaeM9qn++c2xTkEP97m1oc3icREfGoy7eIiEgMOed+Bc4Atvpeus7MHs4ldJnf+qkRT6zwZObdIY+DrxUFf/qt52sqLTOLx5tr+ljfS5c753KbiszfOmCPb7043VsRkVJPBbWIiEiMOed+As7iUEvoHWZ2X46w2Rx6lvl6M7No5VdA7/u+ViXwM8QRl9f3yxd3om/TARvyeakngH/41h90zr0V6gBfd/NZvs2zzaxlPq8pIiIxooJaRESkCHDO/QCcA+z1vTTazG7x278beM63eQrwZLBBzMysjpkNj1C6+TGRQwN9PW5mpwULNrMuZtYtAnnMN7NBeWglH4k3yjfAAufc9rxewMyuAG7wbU4HRuQjv4fwnmuPA94zswZBrhPv+14CxoiISHToGWoREZEiwjn3nZn1BD7BG2X6cTM74Jx70RdyH9581J3wCrfuZvYKsBxvgKrqwPF4I4ifizdf8atR/SZycM6lmFl/YC5QCZhjZm/jFZzr8QrIenjzZV8ItAauA+YVciotgf8Bz5jZdOAr4Fe8rtaVfNcdzKEu1wc5NI1XSGbWAnjet7kZeAQ4PljDuP+z0r5nt28FngSOA1aa2X+AOcAWoDxwFN7c0/3w3rPWBB50TkREokAFtYiISBHinFtgZn2AD/GKqOfNLMk5N8FXnJ4FTMCbausEDrVa52ZvkH1R45xbaGbdgclAQ7wRzQcFOSQSeW8EauINFHa5bwlkMzDUObcoH+evByT4rX+Th2OyVdvOuafMbD/edF1Vgdt8S24O4g14JiIiMaSCWkREpIhxzs0xs4vwWnHLAq/5iup3nHN/A33NrAtwGd5o1PXx5m7ei9fq+i1eQf5pLPLPja+obg4MAXoD7YBaeHNYbwN+xGuVnuKcWxOB67c1s3Z4z6qfgtdiXQ+vJ8ABvFbgFXjvW+b7HHXOuVfM7H3gKuBsoAVQDUgBNvly/Azvfcpzd3QREYkMy32qSxEREREREREJRoOSiYiIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiIRBBbWIiIiIiIhIGFRQi4iIiIiIiITh/wGtazLlUdY1gAAAAABJRU5ErkJggg==\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(5, 3.5))\n",
    "fig.set_dpi(fig_dpi)\n",
    "\n",
    "kernel_parsed_results = [(list(), list()) for _ in kernel_layers]\n",
    "for row in kernel_results:\n",
    "    kernel_parsed_results[int(row[0]) - 1][0].append(row[2]) # top-1 accuracy\n",
    "    kernel_parsed_results[int(row[0]) - 1][1].append(row[1]) # kernel size (x value)\n",
    "\n",
    "for idx, l in enumerate(kernel_parsed_results):\n",
    "    plt.plot(l[1], l[0], '-', label=f'Layer {idx+1}', lw=lw)\n",
    "\n",
    "for idx, l in enumerate(kernel_parsed_results):\n",
    "    # print(l)\n",
    "    # print(l[0][l[1].index(default_kernel_sizes[idx])])\n",
    "\n",
    "    if idx == len(kernel_parsed_results) - 1:\n",
    "        label = 'AlexNet'\n",
    "    else:\n",
    "        label = None\n",
    "    plt.plot([default_kernel_sizes[idx]], [l[0][l[1].index(default_kernel_sizes[idx])]], \"2\", label=label, ms=\"8\", c=(0, 0, 0))\n",
    "\n",
    "plt.title('Accuracy for Varied Convolutional Kernel Size')\n",
    "plt.xlabel(\"Kernel Size\")\n",
    "plt.ylabel('Top-1 % Test Accuracy')\n",
    "\n",
    "plt.grid()\n",
    "plt.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('kernel-accuracy.png')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "pythonjvsc74a57bd0333605e348ea7c6bf4ca805dbc845da062650cb5bf1d8f33f5f4a9d3bca7d68b",
   "display_name": "Python 3.9.3  ('.venv': venv)"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.3"
  },
  "metadata": {
   "interpreter": {
    "hash": "333605e348ea7c6bf4ca805dbc845da062650cb5bf1d8f33f5f4a9d3bca7d68b"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}