{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "--- This is a regression problem ---\n",
      "\n",
      "1. Loading dataset from file...\n",
      "\n",
      "2. Calculating gram matrices. This could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 0 of size 183 built in 0.08850574493408203 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 0.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         1.         0.33333333 ... 0.33333333 0.33333333 0.33333333]\n",
      " [1.         1.         0.33333333 ... 0.33333333 0.33333333 0.33333333]\n",
      " [0.33333333 0.33333333 1.         ... 1.         1.         1.        ]\n",
      " ...\n",
      " [0.33333333 0.33333333 1.         ... 1.         1.         1.        ]\n",
      " [0.33333333 0.33333333 1.         ... 1.         1.         1.        ]\n",
      " [0.33333333 0.33333333 1.         ... 1.         1.         1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f89002ba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 0 of size 183 built in 0.3581843376159668 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 0.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.75       0.5        ... 0.16666667 0.16666667 0.16666667]\n",
      " [0.75       1.         0.4        ... 0.15384615 0.15384615 0.15384615]\n",
      " [0.5        0.4        1.         ... 0.27272727 0.27272727 0.27272727]\n",
      " ...\n",
      " [0.16666667 0.15384615 0.27272727 ... 1.         1.         1.        ]\n",
      " [0.16666667 0.15384615 0.27272727 ... 1.         1.         1.        ]\n",
      " [0.16666667 0.15384615 0.27272727 ... 1.         1.         1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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KoB/AOIAxY0yziMwB8HcAlgBoBXCPMaa44WIiKrnJOLO4zhjTZIxpTn39MIA3jDHLALyR+pqIznBTcRmyDsDTqcdPA7hzCl6DiE6zYoOFAfCqiGwRkQ2pbQ3GmI7U46MAGop8DSIqA8XOOr3aGNMuIgsAvCYiH3i/aYwxImJNEU0Flw0AEKstbtYeEU29os4sjDHtqf+PAXgRwGoAnSKyEABS/x8LeO4TxphmY0xz5XR3uisRlVbkYCEiNSIyM/0YwE0AdgJ4CcB9qd3uA/CzYjtJRKVXzGVIA4AXRSTdzrPGmI0i8j6AF0TkfgCHAdxTfDeJqNQiBwtjzEEAl1u2nwBwfSFtVYwDPRdPQ917Q8k2hoZQ1VWBwYuyVYEatgCVA6MA8meZXnJhB/yObc6ufxHvzx82cVWaCqooFbR6ub/ClXb2qN/vz7JeteX5863RVjt3VYMqZNaozd3zt6j33bR1mXrfyr4K56xRl9ULw9cpeXNXk7MN76zPNM2s0TCLFrrTkHpazku+fiK7raKvwEpZifxtXEWdiCYdgwURqTBYEJEKgwURqTBYEJEKgwURqTBYEJEKgwURqTBYEJFKWawbUjdjoblq/u+i85Zk1uX0nmRamXet0yM3V+asI+JlWxek8o6uzGPbuiIuQWudPniHfb2RqGuP+mnX/2z57DOR2ndllv751lsitZumWS807SvXv6jed+OJjxeU8WljW/PD64pr9jrbsGWRJnYVudapJSvUL35lN4DcbFHbOiBhbOuMHP3q32DkUBvXDSGiycNgQUQqDBZEpMJgQUQqDBZEpMJgQUQqDBZEpMJgQUQqDBZEpMJgQUQqDBZEpMJgQUQqDBZEpFLsWqeTY3wCZmgoM9u05+JpaNhyKrNOCABUdcUz64jUb86dEWpbF6TTM9PUtq7IgU3n523LabPPPhEvaHapf52RqLM3tbM2p2pdkj8rYNaojWtmp1cha5TcPX8Lft13SZQuZbhmd2rWJbGtPfLWu3Mi9wmwr+fhl55t6l1jZOA35xX0OtZ1RsZVE06Tzy/o1YjonMVgQUQqDBZEpMJgQUQqDBZEpMJgQUQqDBZEpFIW1b1r5zSa5tUPYcbuZD6EGRrC4Q2X5lTtnn1wNJN3se8/5t4vtlXintmafWzLw5h9/4ehfQqqsm1aa6zb/XkZf3LfT0LbD6LNPfj1h4sjte/K4zh41w8itZv2woC+kvpPj69U77u3awG+vNxeWV3rjd7LQr+/qeMCZxve6tppN63YHblPALCre6Fzn/aOZAVxb67EwkvDc2b8Oj7IzyP56FvfxciRD1ndm4gmD4MFEakwWBCRCoMFEakwWBCRCoMFEakwWBCRCoMFEakwWBCRCoMFEakwWBCRCoMFEakwWBCRCoMFEakwWBCRSlmsGyLjBr0XxjB9yxAAwAyPoKrHoH9Jdp9520cxLZFcN6Syqzr3+UvyF16I78juE09M5H0/qF5F2hWNbdbtO7Zdat0eP5n7dSFrYnjdPX+Lar9NW5dFat+1rkch9Shs7qntU+/7F3v0a5/0dtc461G43F6/LfT7r+5yt29be0NTjyLMmvmtzn3+IVWLonIgW3riWG9tQa/jfW6ajOufzzMLIlJhsCAiFQYLIlJhsCAiFWewEJEnReSYiOz0bJsjIq+JyL7U//Wp7SIi3xOR/SKyXUSumMrOE9HpozmzeAqAf0nwhwG8YYxZBuCN1NcAcCuAZal/GwA8PjndJKJScwYLY8wvAXT7Nq8D8HTq8dMA7vRsf8YkvQtgtogUd1+JiMpC1DGLBmNMR+rxUQANqceLAHgX5GhLbSOiM1zRA5wmuUpRwSsVicgGEdksIptHT+UnVRFReYkaLDrTlxep/9NLI7UDaPTstzi1LY8x5gljTLMxpjkWt6/yRUTlQ7V8oYgsAfBPxpiPp77+JoATxphviMjDAOYYY/5URG4H8BCA2wCsAfA9Y8xqV/t18Qaztu5OnLw2mcIc70/moKaXKwSA9mtqcpYz9LItT9h53VjmsW15Qxf/coRpjTcetm53pY9ruZYXTPvK9S9Gaj9qGrrW3i59CvdvVj2v3veFgTr8xZ5bo3Qpw7b0oNdfftq95KQt5VyTJh7GlkLud8NVyVR1b2q5bTnCMLblDrc/9DQGWo6qli90zg0RkecAXAtgnoi0AXgEwDcAvCAi9wM4DOCe1O6vIBko9gMYBPAFTSeIqPw5g4Ux5t6Ab11v2dcAeLDYThFR+WEGJxGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkQqDBRGpMFgQkUpZVPeGmYAZHsmkefdeGMO87YOZat4AUNVTnan2PXdHbnq3rXq3N8XbVv07ti28MrK/WndaUFq3vxr4VFXfTpuq6uFTnVLtVUgl8Xtq+/DfC2jbxpVWrakebqsQ/nrf5ZH7BNirbvul07y9lcD/aXNDwN52tmrgY+PT1M9XzQ2ZajPrFps1n/gvqNybnN1uhkfQ+R8+mTPnY9ahoUzw2H/v7Jzn2+ZxzDySDSC2YHJ0/XBon4LmaMxos/9w/cHlks99ENp+EO3cir62aCX7XcHof/32s5HaTSukXP+mjgvU+/Z21+DQzT+O0qWMlxLVod9/ucf9preV/f/TizZG7hMA/OKkfXkJr/eOLwGQ+4a/Y9nOgL3t/nFf/gdM25e/j+ED7aq5IbwMISIVBgsiUmGwICIVBgsiUmGwICIVBgsiUmGwICIVBgsiUmGwICIVBgsiUmGwICIVBgsiUmGwICIVBgsiUmGwICKVsih+I+MGJ5fOQP22EQCAGRlBvN+g//xsLKvfeQoynFz71F+/YmjxeF6bc/dka2FUDubXs3CtKVq3uM/+jd1zrJtjidy6IIWs+em1eqF9LVW/N3c1RWo/1h9euqCQehQ2tuIwQQpZI7SiL+asR+Hyb2sGQ7//Vwfya1X42QrIaOpRhLm5bodzn3QtitG+qsy2XX3u/np5n5tmxlWlLADwzIKIlBgsiEiFwYKIVBgsiEiFwYKIVBgsiEiFwYKIVMpi3ZC62Hxz5fTbMfLp5QCAyoFkPoV3kaHOtbNz1hHxsq0L0nFldn0P27oiLkGLDCU+M2Dd7srb0NIuMnTFNXsjtR81/0OrkEWG/vLTP1HvW2z+B2Bf88PrrU/+1NmGLdfjrw7cErlPgD13w+9bK5M/K29Oh20dkDC2dUae/b3X0Lm7m+uGENHkYbAgIhUGCyJSYbAgIhUGCyJSYbAgIhUGCyJSYbAgIpWyKH6DCQMzMpJJxjq5dAbqd/Zlit0AyCmGM3fPWM7TbcVt4n3ZQ7MVx6nbPS1vm5e/mE1aUPKVv1hOYld9aPuBr+soTpM2VcV1CilIY1PRF1PvW0ii1e3126Y8+UlTXMdWQOePFUlVYWxFafzSyVjeQjk/7VtZ0OvYiuUMjet/XzyzICIVBgsiUmGwICIVBgsiUimLWaezaheZtcvuB/YfAZCs7t37u805s0lrDvVnBjwP3507uGebITqzPTsIahsAbV0XPsAZNPuzpt0+AOkfEB29qye0/SDaWZuxjnik9l0DqFff9ZtI7aa5ZnZ6tXfoB4Er+mJ49PZnonQpw1WF+73jS5xt2AZJWz5bXL9eHXQPMv687xMAcgcp/+j8Vwt6ne8cuSlv27sPPIeTezs565SIJg+DBRGpMFgQkQqDBRGpOIOFiDwpIsdEZKdn21dFpF1Etqb+3eb53pdFZL+I7BWRm6eq40R0emnOLJ4CYMuzfdQY05T69woAiMhlANYDWJF6zmMiEn7bgYjOCM5gYYz5JYBuZXvrADxvjBkxxhwCsB/A6iL6R0Rlopgxi4dEZHvqMiV9w3wRgA89+7SlthHRGS5qsHgcwEUAmgB0APh2oQ2IyAYR2Swim0fHEhG7QUSnS6RgYYzpNMaMG2MmAPwQ2UuNdgCNnl0Xp7bZ2njCGNNsjGmOVerXmiCi0ogULETEm9N7F4D0nZKXAKwXkSoRWQpgGYBNxXWRiMqBs/iNiDwH4FoA80SkDcAjAK4VkSYABkArgAcAwBizS0ReALAbwBiAB40x+ZVniOiM4wwWxph7LZt/HLL/1wF8vZhOEVH5YQYnEakwWBCRSlkU7JUJg8TSmajeNQIAMGNjiCcm0L8o273aPaOQkeSq6v76FYlF+TU56vdla1hMGxzL+36lo7Ds6MJT1u2xFnsdidhgbh+OF7CauNeihbo6GD0t50VqP+a4S11IPQqbNfNb1fv+wwf6osOVA+KsR+HiLXZro1mV3FZcV1OPIsxN1aPOfb5zJPl7ae+ry2z718TFBb2O97lpo+P6BGueWRCRCoMFEakwWBCRCoMFEakwWBCRCoMFEakwWBCRCoMFEamUxSJDddPmmTXTbsTE6hUAgGmJZEKUdxX17uZ5OYsOedkWEepcmU2esi1C5BK0inrXqoA+BCxKVPDrKldRj1+pLV6WS7uIUVSFrKJ+w1Xb1PsWmywGuFdR/9bKnzjbKDYxzMa2urnfxktfBpCbAGZbNCiMbVGi/7ruEFp2DHGRISKaPGWR7m3MBMzYWOaMIrF0Jmr3dGfSuwHkpH/X78tNxbalc8dPZs8sbOngs1vC++RP304LOoPwp4dXt+SnBWu40rHTop4huNLJOwpIwbapHNCdGQGFnS2smd+qSscOY0vV9tKcNdhSxgv9hPezpWH7pc8ovKnh/03xPC9bevjAxEfq5/PMgohUGCyISKU8BjirP2bWXnAfJg60AkjOOh26c3XOwOX0w72Zy5KPbl+c83zbYGTtR9nTNdtlyuHbZoT2KWigsabD/vPyX7Z8dKt7JqGNdoBweme0OO+6zKm97WikdtNcg4he40er1ftWDgj+za3vRelShmsg8eCxuc42bJcyP7j+qahdAqCbPfreiSUAci9Zdqx5tqDXeeT4irxtP17/L/hoVy8HOIlo8jBYEJEKgwURqTBYEJEKgwURqTBYEJEKgwURqTBYEJEKgwURqTBYEJEKgwURqZTF3JBZFXPMGlyPisuXA8gWvfFOUe9vOs9a5Aawz/3oujw77yCokE2YoCnqx5vsafTaojXO11VOUe/71Eik9gspThNFIVPU5zd3qvctZM5JENcU9bubtzjb0BSqKZRmivq3P/H3AApfhczra/N35W1bffOH2LxtmHNDiGjyMFgQkQqDBRGpMFgQkQqDBRGplMXdEBE5DiABoKvUfTnN5oHHfC4o52O+wBgzX7NjWQQLABCRzcaY5lL343TiMZ8bzpZj5mUIEakwWBCRSjkFiydK3YES4DGfG86KYy6bMQsiKm/ldGZBRGWMwYKIVBgsiEiFwYKIVBgsiEjl/wNRYqqEk9QeugAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86f185c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 1 of size 183 built in 0.2037951946258545 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 1.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         0.8        0.14285714 ... 0.125      0.125      0.125     ]\n",
      " [0.8        1.         0.125      ... 0.11111111 0.11111111 0.11111111]\n",
      " [0.14285714 0.125      1.         ... 0.8        0.8        0.8       ]\n",
      " ...\n",
      " [0.125      0.11111111 0.8        ... 1.         1.         1.        ]\n",
      " [0.125      0.11111111 0.8        ... 1.         1.         1.        ]\n",
      " [0.125      0.11111111 0.8        ... 1.         1.         1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86ee2da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 1 of size 183 built in 0.4422006607055664 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 1.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.7        0.16666667 ... 0.05555556 0.05555556 0.05555556]\n",
      " [0.7        1.         0.13333333 ... 0.05128205 0.05128205 0.05128205]\n",
      " [0.16666667 0.13333333 1.         ... 0.22580645 0.22580645 0.22580645]\n",
      " ...\n",
      " [0.05555556 0.05128205 0.22580645 ... 1.         1.         1.        ]\n",
      " [0.05555556 0.05128205 0.22580645 ... 1.         1.         1.        ]\n",
      " [0.05555556 0.05128205 0.22580645 ... 1.         1.         1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86eafef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 2 of size 183 built in 0.33296751976013184 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 2.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         0.5        0.11111111 ... 0.07692308 0.07692308 0.07692308]\n",
      " [0.5        1.         0.09090909 ... 0.06666667 0.06666667 0.06666667]\n",
      " [0.11111111 0.09090909 1.         ... 0.55555556 0.55555556 0.55555556]\n",
      " ...\n",
      " [0.07692308 0.06666667 0.55555556 ... 1.         1.         1.        ]\n",
      " [0.07692308 0.06666667 0.55555556 ... 1.         1.         1.        ]\n",
      " [0.07692308 0.06666667 0.55555556 ... 1.         1.         1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86e5e518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 2 of size 183 built in 0.5694379806518555 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 2.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.4375     0.125      ... 0.03333333 0.03333333 0.03571429]\n",
      " [0.4375     1.         0.0952381  ... 0.03076923 0.03076923 0.03278689]\n",
      " [0.125      0.0952381  1.         ... 0.16981132 0.16981132 0.18367347]\n",
      " ...\n",
      " [0.03333333 0.03076923 0.16981132 ... 1.         1.         0.9245283 ]\n",
      " [0.03333333 0.03076923 0.16981132 ... 1.         1.         0.9245283 ]\n",
      " [0.03571429 0.03278689 0.18367347 ... 0.9245283  0.9245283  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86e17160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 3 of size 183 built in 0.5317063331604004 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 3.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         0.44444444 0.11111111 ... 0.05555556 0.05555556 0.05555556]\n",
      " [0.44444444 1.         0.08333333 ... 0.04761905 0.04761905 0.04761905]\n",
      " [0.11111111 0.08333333 1.         ... 0.35714286 0.35714286 0.35714286]\n",
      " ...\n",
      " [0.05555556 0.04761905 0.35714286 ... 1.         1.         1.        ]\n",
      " [0.05555556 0.04761905 0.35714286 ... 1.         1.         1.        ]\n",
      " [0.05555556 0.04761905 0.35714286 ... 1.         1.         1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86e4afd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 3 of size 183 built in 0.7160298824310303 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 3.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.38888889 0.125      ... 0.02631579 0.02631579 0.02777778]\n",
      " [0.38888889 1.         0.08695652 ... 0.02409639 0.02409639 0.02531646]\n",
      " [0.125      0.08695652 1.         ... 0.13043478 0.13043478 0.13846154]\n",
      " ...\n",
      " [0.02631579 0.02409639 0.13043478 ... 1.         0.94366197 0.83561644]\n",
      " [0.02631579 0.02409639 0.13043478 ... 0.94366197 1.         0.78666667]\n",
      " [0.02777778 0.02531646 0.13846154 ... 0.83561644 0.78666667 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f88f87e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 4 of size 183 built in 0.7884619235992432 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 4.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         0.44444444 0.11111111 ... 0.04347826 0.04166667 0.04347826]\n",
      " [0.44444444 1.         0.08333333 ... 0.03846154 0.03703704 0.03846154]\n",
      " [0.11111111 0.08333333 1.         ... 0.26315789 0.25       0.26315789]\n",
      " ...\n",
      " [0.04347826 0.03846154 0.26315789 ... 1.         0.95       0.9       ]\n",
      " [0.04166667 0.03703704 0.25       ... 0.95       1.         0.95      ]\n",
      " [0.04347826 0.03846154 0.26315789 ... 0.9        0.95       1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86e7d780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 4 of size 183 built in 0.8283765316009521 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 4.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.38888889 0.125      ... 0.02222222 0.02222222 0.02325581]\n",
      " [0.38888889 1.         0.08695652 ... 0.02061856 0.02061856 0.02150538]\n",
      " [0.125      0.08695652 1.         ... 0.10843373 0.10843373 0.11392405]\n",
      " ...\n",
      " [0.02222222 0.02061856 0.10843373 ... 1.         0.82417582 0.67010309]\n",
      " [0.02222222 0.02061856 0.10843373 ... 0.82417582 1.         0.70526316]\n",
      " [0.02325581 0.02150538 0.11392405 ... 0.67010309 0.70526316 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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DM69cn3jM+o6fMgwjd84lhIQgQHTksgVwtXRVqCGV8c361hd9gMLjxj2kw5Azn9pM5Y7B5KXvO7ZgJI2FJe566p/Y8/WfA2Dv5BRnPr0j5+JUHowcCCnO+3SGCwZdCcjFRiKu9X0qZRaPPLaLrdca4+jJZ4xHpf+Yg5ZQf3Gb/v0GXl7bFbHzrzs9mYXTMVKItC/AMx/qT9rXnbwYLoI8A6oec2hsMhNg/FtmX2O9pDSraWwQqAJEZXO9wUNQ3yzYelcXs1sls0CpFCMiRGK0FM02SMnh9+eLgmXVmFgKAeg/paltETixzdEuO0LB8CHzzGqbHGSg8QfzE9jpmJV5/f2ZQl6XYRYiijj11jG7bQ6TYd61K4PYnQsDJ03Hm2MOrXGBV4exxxr4g8aY2Zh0EQq8pqY1avq3/t6ZlFm0OymCU9oXzHUSFUsonTDFxZs30ByXyf07HQjL5htAx4u+B16D5HwtBW5L0Xe2TdBv1NesgbM95Nj71Iw8NGWfR5T0YfpHttI3FRIVRSIxB2WBco3xVstUtRNKM/q141Aq5ubKN879FYudCy8gNeRZ0p6v/xyHfvhTAPz54no+MrwTGUBth13RCorJfzZSSXG+dwzF/vv3ALDv1YfYeu0Fzn9jI9HuJs6oecL1sIS3ZDwitX1mRfPOFHFrnZ44C+HnXaf9+0vJeVkafMJDRLB4fYS3YGZRY5PCWzLbi9vNceUZnUzyzgh4S6bdxT2a0jTIelfbqwRliUgl+0RGskj6dwgW9/Qcshy1xnrPL68OrZHldnOvDkHVbLtNjQx63EMPZpFY7y8DogPwmhDZsKH2cMqgB48rmmOmT53MfrelcTqKOKZANDPekCBIPRcxs3AkhKnoH0sebjsGNeTJtTDuoE/gtjTFCwqnbc73h1wKCwGdYRfZCXEKpg9Bf+/Sp4nqHUXPCZTltjW645uwk9z8WPOGrNEardH3mF6QksXeySn+fNGoC78weIGPAJ2h/DGd4UKqhjSWSxfBSJ47+yMRW8fmk9+npiYJBhR6xEfMGdE1GFKE/cUV1BA3p4b4edxYep2B1FsRDFkVwBcEA2a7etLw76DPipV2NQ4GLBBnSRBUQVXzkberVUP0pdQQsOrcc1dNgyo4ywWq5D4gxl903cMq1JDLXnuFEKOgYj1XXeCwsCwQOl0vdaWUUUPEZdWQuE9hqfeaG5ZFbtvJqJ9hSeCUrLel6ObAf70ojpIWYYQInn3h9bAkTCR0qZifEz3g8SvRVcEs3Jbi1BuK7PyWfamjiModg2x9/6HEOClaHfADY8/49LV8ZNhE4X0EeOLffoyjQZ13f+i3ADPBKmcMKKvS8NOw5Az6csPXzIAfe3gPMoINNUXj0RQCPhZq3LYmLKUh2zIQeNP15W4xpVMQkKWJhwOCAxaum1ERvHqAUJrgUPrAs2AnacVcGWi0AC2NPhpHy8b/5eIquukSakjW+i+6/3c0655oEx7NTMbM3zn3bKBQnkzccPE7p12ZQK1VQSIiTVTqstmEChlpY0OKqVuNitWQjJV/4pGBXJ+E0vmJbxGcItI47RTurS0K9vwry2y819ivlCsRGqQfUZ429gKx1EiM2nm4d+qWTIy38ThqRf/RGuUp+6y1UfWU7Uc60OZaIjDnl6dcE0krJRdvHWDifrNQFUuuBWspSjNeMjaibgzPOlKgTBvDT9dx6h3jrYldwQUXLUw/4u9kWNttwwyzqkcP0N5KdFUwC7SNz8g8eBlqpltVg8yE3H9BVSTBUJ0hOBrU2elVE2MOQFgt4NY6hP1FvJaftmEHNV5twoqJJRCRTPYBlOY1YUkQlgRew1w7LAlUpbdkIQIXoXWiW4YVSWBXFplZFEUkEUrnVh0RpduFJXNwVJAmNkQKg+K0cG+vqQjLAlXJSxZiJQaxzMCZcSFmbBaiZfKFhGWHsJyxrmehFZnYEC0NAxNu/oUwIftxjE7MLPL2DRE66FCjS2lOkcsFkokwIopX8Lj7ustlHGrDoEIF2jIoR6AciZYQFUBZV2wcG2L6aY8tFpI5IoQwNoq4D1rnmIXIjGNUcFBxG9osKqogkWE+NgQhkHb+qYKDxLzQUUEkLmJVcOz1bR/ja9nYERGpxL2tisbeob0U7q0KjrleFw5GaJBewUgXXZik1dJVwSy0K9h8TyO3b2G3NLEeFsJdeV/+nNiYCfDuD/0WQsE3/ujPALjlsZ+i8GuGQRSWmivGc0CqFhRqEKQODN77q3dz39xuHn0qDaySLcnYV+d7GjiJIrPaZAY/ViWyzCJmPFnGlH0h5/6VkeE7S0WEq5GeotLXpvNUrGc5OG3B0P2pygRdRqss9QIudfcd+94kjDTDLDIqjcxIN46viQop3iSWLC681cc5axhZMBAh2w6VC3lRV/rGG1J+JH8PPcFxCXhKEZYnzK4kN0SeWchQExUkMhDJiqpcYb0kDtvuXEjg9GFVI0IYfUonBtnyQ4tpV8IwH0jWjStROhlztX2c0AK4hNJoVyT9MGNjvgt++qCjkoP0I1TRZeNXZpi+dRSAzrBAO+C0oFDTyX2NPL6UXtcyrKgocQouypNpsFrBePGWSRYanEYDOp0uF/jqqyeuGTjXaI3WaFV0dUgWQhjdP7MqR0WNdgQzXzE2iy0izZ2jPOMeTc63RrBbHvspAB6+6W95i/iJ5RfKtK9iqdEzUm0ctBXThx/6UeSiC4Mh79j3KACHa+MEwl3WVrydA05JgbaHqmy2LQdAJFJyN8knjHhTtYFk2gG/WEZZmHr1unla+0d63FoetJU22A2IysQtL2tEgkilBLszbTezimuZfsxvc1zpQJnSrFXbKi4yMNJbrkUHdATLs0tlIOPdJEUqzlv9wWAJMv0Tprvasdtg2hQ23F8I+k+Zc6OSGQYtSZfMjC1KdIvnMeQ+yhwbZSS0uOtSoIW24xirH2n/dPe2NOf3TRnp12sYycDxNZ1BmRvbbtKOsPeceXeE2U+kk+9MF74ruipAWYPumL6178e58LM3ACZxTeFiPQFhAZz+i8kcSCvGT8Sgq7BaoHDWirVC8MUHPs+er/9cAtoCY+uI80KsfygTit0j6tSbbaCLngm5tngAVSpw6L1Vbr7pCNMtY94fK9d55LFd9B9zKM5rOsPmsUw+0JXYJUuXiDqVC8YApws2VFkKY3CzoBtZb6PLRZ757XyUbhb4lQV9VY+Z/THoa+QJQWleEfQJlCMoLZjxDPokYUmwrls1uETUKT2iTgGEjQ7VNh0dXteaZNGPR35xfXpOSCK2izBVNcI+6wWqCbbcOW37tNxrkvyWy6NOdakAQZg3Qsd2iEihi2ZSnPpXkzgds2iMPBNS22TGLioZu1ZYgdGnrDck0hQWffzBAn1PnDPXILVl6B5Rp3qFqFN0GrciPC/9Px43rTl/+yYA3Gaa82Tg2+dNTths7M0lQtSb162nMeHmDNVP3f0RGjOnv39BWVmgVbzt1vKxEjFwKwZtATQ2R/SddqjvDHDvuXRCXwDRaJswbEuy0WbrtXX2378H6ZvxHbvtIM5oB2+/SapS32IeZA5wtMxucJnfWINj/ALa4KDkv2ab/v2jlwR9gQF+xUwiBn0V6vZ3Q6Od9LqL2yVhv2b83h5+z+Q+umJYHNl77CxMX9gMU8tsRvaFWi0ALKbYvXtJAJplFlkQl1AKwjyYSVhmoSOVZ4KWsqCumAaPK9yWNXBaht8Zdqi0211emcjce1e7osubYmJFrHcizsyWgX+LrOcF6D8dEWbsSbQ76I6fGmIBQme5VJRpo5ukv3ph4QXJLGIMRbxdafiE/UVjzLQUYzFiHEY3hYMZS3xPySJE95XykkVfCagTjIQIP31Am8bmmRuoWGi0NXplMQTPQrIQsWRRLq4sWVRKq8JxZCnGcfjVDETbEUn2K68BQovl+I3nIllYD8blJItni+nQsQfoOUsWGQZgmYXISBaXo6AicJsx7kPjxDksSqVnLVmI2OuyCskinh+xh61oDZ+Uika9WIVksaLo8CysllcHs9AagiDJwn3y9jK7PzGb4CqAHO4iySBEiqPwWn5uBTvz6R18ZHhngsMAePlv/jJeK6TvnIN3cSG9fq+8l0FoV/d0NJ22T+MzG9jQ1MnKcmy/wWm84d88yIxf5en/cr05drU4iO7f8WTq+Om1pcwFCImlBhMPDyQ4Dki9AjGOAyA45CxbNWvvXWKhYV46rxDSbpo2tvwPx1jwF/NeqRVX8Th8v8eKlUz8BCbdHaJuPDI5TIcmF8cQXzd1H1ocRHc7uQunL0g2B6rwA+OtymIMMsFlwpYkmHikY7JtSYFX8xOXqnalcYsHiuNvM8gv6YPXEGy8t45utRAZqUVHCuHIZat5Iknk7iHKBbkl0o/S4MZqiGL0iRZOOzTu0raNOm20IPDJpTCIUxp0k1aUTy1SmCvmsBfSXy5VrURr3pA1WqM1WhVdHZKFJX/IrHLbvtBctmItbRec+6NdeP/+ApXuYnBBPkYfIQiqgsZms0q//Dd/GYAH//DP+JOFzXzy+K2IezOh2L30ObsSiYw+qLWmOSGoTKVAquZ6gQzh4d95KUJp/vXv3w3Al267NnfeJSlX5yPK78uuGJn+hhVJc10mP2hs9Y5SKaM1KnMYDoDhj/YxGsO9ZTGRkM58oI0+XKX//pVD1JeFNvdK8JKJxky9Ab1XurDs0Bq1onYm4Y1Q6T1EBdNGY6Nk80Otnu3kKM4obldwIYRZrTP74v3mlnQCcuoMu8beY70qMQgsKhggnVeL2HFHI+1vEHHyLUNsfaKTD3SzEaXdEquWvSSLOH9J7FnJ2FUyNgt/qEBxHk69sUxx3kg3G//8tLm37Ny4RPIb3VckGCjkgXYvNFBWTAmkucuNCqkrdaxcpyH6l5/cdbzyoO+0ESO9lnkAf7KwmV8dOs1/Pv1mxmiueG5CPVxWlSmNclKRrHJBIyNwWhFCwanOpd2a0IN55BLb9Ni/TLQ02ZwqM5nJHydfsa5ZgPKsWpYs2GlHKdBKikSv9tse/TM9RNjLRSV2j1HWvRiDmFbIZ4GA8mycGezSakhYFnmGlNx4l/s13p17gTJ9ugQV58OcGiKth8m1aohyZaoC20xZzmqKmPXIS5K8zLFBNnf88n2FBR8tQHYEchXF6OLr5HKYNjp4WaAWPCuf6lXFLFZDT995DVs4d/kDgfpO8yT7zpmH/snjt/KfT7+Z42/9r7zlP7zlOV2/vlEk5QkAGpsFIoDionFJfW7/SwDYm6ve+PxQY30GaWnncN/F9K1ojstcvgcAp526zrQAGZk2SodLyNfOwaef1y4vo+aYlSxU6mEwkoX5P7Jp9VYKif9eUnvUQ4Y6wY/EMS2qIEBDYSkkKts4kkghAkXl/L8M9MAfLlCY9+k7rynUn9s1o2oRf7jYO5v9KuiqwFlUhzfrV+z6BcQzJ8yOKOLo/3UT6x+KkizchVNz4AeopRr9dxeSfBTBSMiGrzk5+LRyYPhIG3exQzhYxLtoU5LVUmniiw9/EYDbDryV4wcmecXNB3n50FE+/OiPADD4zyW0FCztVgweNG3Xt8DG+wJqmzxKCzaXQVMRViTlGR8UeDPmWtd/xpTau/vEXnw/NfC9cttx5jsVTi4Ms3XIYBqeuW8Hcq8xiPbfaaSmpW2CvrOa2VcEFM8UKO8ziWLkF4dZem2L8c+nXguvHiUvV1DNMwivZrhIaGt3FJZCRKgJ+1wjZdj4BW+uiZaSC13VXTqBS/tsldLGOsGRVKKrnhIs3tpGXrT1LqwR31sSrHvCzKn6BpmAsprb0yVYtCVOW7LxvlTkdhtG4gn7XNx6kHlRLTM73+Tgr9iwUqsCikAgQoHbtKunC249Tn5j7qu2RVLfFVA87zH5YIA/YHEn6yX+oMmz0Vxv+rvlHh+3ERBWPAozDcKBkm03I1l0zOA6jcCm64MLrx2hvjlVA92WIKhq3Dh9oRNLSVBYtH23gDC3AUPHwiTRTWdIUKhpm/zG3LsMNSMHjAom/QinZrxzJ94+RvWMAYBlo5SVm7afVe22fGGGqJo3cH7zqY+zVF9dDs41A+cardEarYpecGpITPtefSjZPvbwHsKKSGDF2oPhIyucaOm2A28F4GuP/a77AAAgAElEQVR77+TdlddyaH6Mlw8dZXTESAZLk2UQmvLWGouYFVWP+oCkei5MbQRS4NWXK8Sf2/8S3rHvUd687QAzfprM4d791yFCwYtvOMHJhWEAOhsDyvb/2lbD5MOKpr4VRN0l2t1kackcIXdAWPOoTPWu7+E2yNsprOToNjN5GEKF0wrIRp3GVH96mOp1eRRnaaMZk2hDes1206y6UdWe75nvMHKpT5o1qL5F4fiCYCRE1h1UNbJ9kciOoDibKcQUGcyE0wrMd8NKIu7l17OwYu6xOC9pj0c4bUnbruBhCSrHPfxhC6KyKf46I+DWTWW1mLy5NkIpCu0Q0Q7wYkNwJmGv9DPZ1y1Gwun0ls4da49VVXCbgsIUuDaQ0B8QFJY0/oBA+gonwe0IOkMCtwUdMz2QocCbt42F0bJ0CFGRy5LbAtFo4WQypQEpFmQVdFUwC6F1Mllicjo2orFHiHo2ZyaYqE4RpWAkBeY8bc/Pgniswef4AZNr8t2V1/Lpbfey6xu/zJ92fpi3bn8CgM+HY7Q2RkRHBnC2GAt40CikenU2wUykTfKWjGGufLzA31cMfP0d1+wH4LNP3EzlpIuMYOKWJZ749nYAXnLzEfaf3oQ4UybcZqxXA08WqN3YofJ0keawxDttZoRzTY1oqm9ZeEcvBrFsPywb57S6t8kN0XdOsFhOMwmt2zXL3NMmIrJgx0EfrtLe4lMsBfjKgsUssygfLNCatGJ3yaSbk+WQyhGP+nbroQjj/JldfY77lUmEk816XTrnJecDtDYHuUptpRmBCB1akxGtiViN0VTPQGtSERUFzXFzfFTUVE8a1SCOuxG9QF7xtwIhV+5v+aJVLyJoj2rKFwWFBcuoWyatXqGmbQo+CKou5fmI9qiL0FCoGUZa32RSE0SRSPrV7QmLr1ua1SjPhrjbN7k0q1EutCYE5anUw+Q17dxcdo+smq4KZvFsKc6ZCSbD1YaaQkSSgsVBrRSklaVX3HwQgEPzY+z6xi9z5Gf+jNsP3s6dx80LXjmvKV90qL2uwcBXTRxGfQuAT1B1kjDuysWAxmSBgRN5mPTwKy8wvVDllduO89knbgbgXTc8wt2De7ll8iT3PHE95c1mxX7qK3vg2iY3vvwwZz6+C4Cp1/qsu6/AzMtCyodLcKNN5nN3P+3XdGhNFPDqeW9IXFM0ZhBuIyIqObjNiLBiPUP1ME3/LkSSoal01jCpxX2pqX3rphlOHh9j7LpZps8Moc6bcSjsrjPwYD+1bW6SxFdvNvdf3x6y8WvWxjPpEvSDH5Zo3tCCunnZ/bEQ0ZG0x1K7S9ZdikoneWKzuNDA32lWVxUjMQNBcdqlMxa7PgXNrSaD9cBx6z4eEyxcm74RIwfNSzl3ncPSDo1XFzjWlOWPlJGRQguBa0O/AVMiQYHypEnMbPsogwjZCvAHBaEVDf0hReWcpLElrWjWHtMU5wTNCWGkFKA4C4tbXYqLJqy+OX7pSRvXaJV+ZPK9AlFZUDqncrlRmusFqqApzUBzQ+riL80KdLVsELpZd6qzekvEC5JZAES7zRPeOjZP49ENBBWR5KNQLgxeRg15+dDR5PtPOz/M7Qdv565r7uL2g7cDcGJyMIkQbE5a0XWjeZH8fklxMX1RC/Xeotyv33Af365t4cVbTcTsgSUjzdx/aidvuOGp5Lh7Zm7gJZvPANCy2AlZd2mPCpz+gPZ6wZYBw1imxweoDrQAj6BqjvWSeI8oV4Q47HPwar19hlHFxWlFSaxDlrZumkm2xzYtML/Yx9imBaYvGIx5p1ZEVqAw2cC3CNDslIsNc+11aYZrAFk1qoVqLp92bsNgZaKKi9uK0oQ0l6GYUZjrKWTDwfEFoeVDnZH80tkeXP5yRJX0GNkKiSqeya7mrSzfO60AMjU3OutSqakTqzyjabudEY1XExSshtcZhsKiUYtKc3n7otMCp5PWdJFd7tmYWXSGTZu9KFZhkt9DPQ97VvSCZBYnn1mfZOF+rhR7PUZH6rx1+xPcefyGhGEA7P3HD9DeEOKe6qO1Ma8jFmoK376objPCr0pKM/n2z51Yx0cXXmPamjRp3E8uDLN4ehARCA4NjjO1aLjb2GYzg/af3oQzZiaY0xS012ncoyX8UcWpp22E5noFS2UGICdZAMuqlbsNI1Eklbsz5DQNmCdO2hJPhMJ5j5OkVerHJhYJax7TtSGKw0Z68M/30dru0+tVKk259ICaIM+XCPvjbNnLZd+wz00ki7DsLAOTxW0AOLHnZzj/XEozkrCiCQYUzcl4LDSlGUFjE3QGHPyh9OUqzpsoZKeZ8aSVbWGhy8SLRGUPGUSIls0iP2Nh6ZGxoRRnZJKLNJZ0vVqa/MgfFBQXdOISjt2hnWFBVAYQSfmHpDBWfEcFN+l/tx5RXDB4JX/A/B97xnqN57OlNW/IGq3RGq2KrgrJIuF6ccm5SFGcA5SpZg5w3f8eJiUF+4851K2ceWpqkrFQU5rXvPdXDdT6ww/9KN7fGWOcN5vJY5CB5A7+szl/abLM58MxKuc1JyYH2fuPHwDgwK98jHceu41vPbM97WfToXR6ltLZPMy5fMJAnOPCMQAT90ta48YLciJKvSET0wqhYOHIxmRlDiPNMdYxAOz5WWNLeejQdqpDLTptj93jsxz71uakDWexyMD+1MBrxlAnHpVL5uCEfKRo1gDqSMYfVbRG0lVVq3WJnCEzKbqdwCXyvGVp9Qbfe4pDJ40UVB1u0m4VKDxp8BGFBde2Yz59B87n+9nLSBvr1JFi3f4Be6/xMU4+rV4UEXkGfu/aFV9LgYg0g0clfWcbzPyQ6YsaCPEuegwfAKdt9fpDF5Lr6jDEyQTyoZQJPovnUCZYbezxKv5gHPRlEiqrgknnlx0brxYhfXN+5aKHVwuonnUozLaZfqm5t/aoAYW5LUHV4vpEqPGOXbDPIw2/Hz5UpbAQdKXVMwZSNAadGdtIFXBhBlnwcuMsLlPGM0tXBbMw2bEjVGZie3VTACZOw08UJSUFtUzzMwQDymbhFtw3Z4oFy0UXXfQQjTa6r5Qk0dVRCj1O4xY0rY0R5YumElR7g2Es7zx2G3+z42tsf/p9eP3mfGdQo4tuLvQ3KTIUmijD5FqOSCZJe521Xk/bDFkCWhOa0rTpw+JeRXHKoTQD60txrkXBm7Y+zR3P3MhYuc4x211vZ43WTAUKeTF5WWnB9A+6DgQ3M1niYzvGHqOcdHIDtEdFkvlqwdYxHjwCC1skboukElzBpq+cPj/G0Kixr+wcmWGmVeX0XkHx6TKdUfNyOb6BLOts6Hq3Byd+aS2zEFKhnBjCnLof/UFJcd56oGbN3Fjc6STzQ7uCgRMh7RGJ2yyiR8x99g+2aF8cor5Z0Jq0DMBzE4+ZABPubS6YfsfMS2mE1Yc6Q24yZkLB0laXysWIxOhlv7Qr0Moc2Bl2cFsRtc0FBiOdHBMMReBoVMFJ0KsyEIwXUuRokpzXFTQ2FI03xIkh/iHKFQR9Eq+hUoCe0OC6JgS+K45qtXR1MAtpshsnOHY0QdVY6oeftDcTh0NLSf3F7YSJ6BGfsFQgLIk0ue6gyXgsXMdkPo4zRGcsv0u7ratva43oyAC11xlJxD1lLP7femY7259+H8ff8gm23/WLAGzedhHt9PfM7h27+7SdYLUtgtaGkKGNSwQnjHXJuaZG+OiAfWk09a2mjeoxh9aYZvHWDl++8xYAitfXuPOLtzK4b5ZvHt/Oa15jXLpfv/cG3vD6/ZySW3NDmEu+klUul+XSUDlGp+0yLaQER9KYNH0B8CdCSuc8Zl8SUZpycW2E+OyLFaPfgcakwLWehOZGc85Afwt1rzFaPLZ5CNUfsWfHeS72VxNJqtEqGLtFVx3ZhEGIjHvPhrdrYO5FttsxgjOC8nRqgNZS0tgAjg9DU+a+WiOSxoRDc71g+FDI0INGoly43kOULbS7YgO2HJkyz67K5AZnIdNxjlNzA+1hmQS8+YMmfmh+j0NlyhzbHhUU5zWFkkiOEwo6Ix5eS5us5DYuqnTBRTsGF9HYZrExHZlnWHa7NeJQmY4I+mSSJnJxu4fyoDinae5wE9d4aV5T6RFz9X0dGwL50oAx04gNRwDv2PcoT9WNC3JZiTxLMYR7kX6cLcY92pwUOWOm199h+12/yPHb/xsAH53fyt3Nly6PtlTL1ZCB4wpw6ZwbgTH7Qj46wMAJhTgGF18K/ccteGmzxmsI+r9RZOFWI5n0PdJPfUdI65vrYG+Lr99rXLrv/7F7+NgDt3Fdezp3PyvhLJ6VGgL0n4mIy/mVpz06IzD0lJkmvvU2DT0jaI/kZ1lx1r4sD40QDWckxFmXQ2qSykmP5lYj8nrzLvggOmk27dWoIYOH4ns133EN1aItmdo3pXCbkqAKnYFMasFzIVHJy51TmHPoO2te0jp21W77OTVEdKkhYgU1pDITJa708pxJkjN4XFGw6e8KNYnbVjk1pLGxROlih8amEjKI6D9t0/u7Rkpx2lA+m6ptseSXVUOKS3H7KpEsnNkI5Qj8qqT/VBoG4LaUyQ8DXVHOqwdarBk412iN1mhVdHVIFlpDqHJ6t9vWyEAlKeBQKuGCtV0R3hkj1AZDChmYYkCyZXjf4do4qlRANtqovhJOnEA2074BWBkId9AoUN+S4ijAGDOdQc3mbRf56LwR+X99+CR3lV6xgs3CydksGhslvi1PyLDFZ7SKNDaYQK9o2KfZMSua40NrY4jyHKStQtUaV8i2pD0ZMTzQYNHaN786dR0jGxeSojPpEK4gTfTK/5ktMhQjJNs+RIrGhMxl4/YHFLJj7UOD5lgZCJwOtMc1smNVABssFQwoStMWPdkfon2JN9ihtd58A4RFhW47Jilxtl89kKeJzSJSBP2pCA+mzks2aK41atSBoB+Ki9YVOSRpjhtwmHJlgvIN+xTtUYl2IRywjRRSfX7lIkMZm4Vr+twadpJAOqFMOL1yTfEhMDagoM8hLEncttnXHhG47QJBRRBWPDo2wC0sY4tLQdAXjzeJjSprswj6JNrRhMU0W7xypbVZmNKMWXd0+bu0WVwVUaeDzjp9a/HNNH/kxQBUztRNlusgRC0ZWOaJ37iBiUcCvEUjysYJesP+It50HVUp4lxMs3s//cFNCSS88RlTltAkrtHUNwomHskwhh45OEunF9FF18QDNK3RsuRx991/zY7P/VKSsPfWVzzDlvIcX/zUqwhLJLDbjfemiVq6IdfdqkH2f2fRnJdUmRLWeGVFYtn0USWXU7cPEl5fT857xzX7+ewTN1N+upQUNXrFOx5jtmNsMI8/aIy/gwfTCFHtCBybsHX21oDyYJstv9c1eXKp9DIvcxShnUzavmxCYVsuMv4/xgUkZOutnrttlKWd5nwZQGXXIq1nhnB21AkDe875IiPXzTI7V2XPH3byfbIw7HQcVVK+MEmxKAS6XDBlA7OW/1jFiKKE8R7/qVFkh7QEw6BpXPVFEAnWPeJQttnlRWiOmXmRy/a/PpfUIjUhBsoYR5Mq7BnbR5CJLcnk4EyOjY2+SqXMVGvOvHU91bOKsCSSDPIbvzhlFicntWnoOAdnN2nNxddMoNx8jtZDf/tH1OdfgNm9YyOPdpYbYqKiNiX8YoBK/L9jk6J0nXPzTUfYf/8eE8LeNJOrMmWs/ZULmtom8yCq58zIBVUHv18membprG0vbt9ec8fnfolj7/g47z7xWgDONwd48Oh2Kg6Up3VSe6Q5aSZPNnzcXGd5jgmvFiYh5NUlmxy4UkC2QzrryhQWOrTHjWGufDKgM1bhLT/5YHL+3Sf28rmD+3ALIbe87QnmO8Y9+PD5rbQeN1A+z4bAB+cHKM5rWuMCp50iLMfv8whLHu3xrmy/mgQu7i2lL5sMHZN1qct16jZD3DjYyhoBtRAEIxlod2RigcRtc8R5hxdPDNE8MojY0iI6VkVZQFJpW516q0jpQBl/NC5SYtvpUetUhoYRCSvxqEqBsM9D+gp3sZUyF1eiSi6iExH1mbnQ3hBQPuXR2hgyeZ9kYbdForoab0kyc2vI0HfMseVpRXExYviwQg1UCKuXr3WqpUhsFknFsMBkF49Rmbrome1IoUsps2iNm2fmLWVqnwxVcFxn1bVOvYZmcYfMMYuwzKrpqmIWsV96WbATlwgsiwPFsucIwXSrivQFwpeZ4C+RGGlipmCqYWuCioFwx8jMJOimKxBN+oJ3nzDBZ2AKG5X7fGRURqiUawulE4RlkkC3z0nS3rmNKGEQJvELufuKSi6yFSQwaLeRZoV26wHfuLid6QWDe3jltuPcd2i3iT05ZWJPAB4/shm3ZHI87J0wUtbTpQFKCrwlk3ksjlh0W9p4GbqEIKFMEpj4OyYdSiOKJ8FU8RuReTbKbJsALXBsxjJdMGL9wmw1gZZ7u2ZpW2miXi4lEOfWrJnN7rDOMYl4LPKShTY1RyNN0lOlkz7pghnTuJvxc3XsPlkWtDYDniYqOHSGLe6nqPBHNO5C6l3wBwRuWyRu3rRMoLbjkgmGs9zC7EuPE4iewWu64Bq1PJbIdArrVkVNe51t75n4epDcsG03vl623aDPBqdlpcBngexcM3Cu0Rqt0aroqpIsvpdqyFi5zthtBg15bL/JqtVcb1LiNTYLJh6yq4ZVMSoXrS2kmdEze6ght77iGc43B3KlEm957KdYGgIQScDO8OFMokTLvZ24QE0cFdpK3XBOO9WxAZO/QAiT89ERyf9amO1z50aSsooAr9lzmPOdQRbOD/CV08b2c+MNJ3iczYSjcGDKoCq9tlEZtGML8Fo1ZGm7JOjTjD6Vj7nJ2XMyuS9EmLEP2H6lf8Y6Ooka4s2nLmzRVBBp3IvDLI4a9aQTuAS+nY7DPpGtqlYeNOe1RDlpI5Fmuo2ikTYieaRTZKIjjagfRGZfbMBUCqfl52wWqlVBdCRaaYKKAY8B5j5DQWFeJBnSRGSCvZrjDoO1VhrJC2lNlW57TlyBLO67EMblHqm0BITnWtSpQmfsG0F/P9XTgqiY5uCUSy1Eu2NcvN02i7j9zPjIoN/k8MwWZlt9XeSri1l8L9WQRx7bhTPaYdPYfDIgMrS5LwKSyk5e3aRza0wWKNRTNaR8orcasqU8x4NHt1PuM0/slsd+iodv+ltu/OoHCEupGtIaK/RUQ+LfWTXEq6Uh5O68QTkFw2W8+Raq7CH9kKhkHpVT6xCWXPAlf3/ohmR89k5OcXJhGBEKhC0DuOiXeMmeE5xaGmZu0YaXRwYkBMZAV99ktqOSJiprOiP58LCsmJp9IWRomLfsYhZOK0S24ypGJGqIP1LOqyGRSXS8MGsh5IGgf6JO/ewAhbEmoWPutzVbZmzTAsFCP8FwKTeey9SQSJlw8kjjWE+TFhBWCyYdXTujhngOquAgApXI1+6Ca5ClNh9EVEjVEO0KZCQJY1RlaPKH+gMC1V8mqqYGThEqAwqMq4wlzDO1WSQGziBCK8PMzNgYhLAOFbqc2iy8mrA5U0wODgA1UEZKYWr92kU0MYx3kza5L7xmVxTrs/BvXB3eEDmqX+a9CXG9AVKdf/UQG//uBDoM0TVj8W/86Is48/aQaz7cMrpnXCWsWsKZraEqJeRMmuHpzE/vxFvSBAOCN/ysMQY+/DsvxWlFBP0upbnlK3+WvPMLUPDQUiLadrUtFjj7hlGT3ds+886QifR7/N99jA9O7eOB/3grANVTab7PZd6WXhBsS3LJelE8O2msdKMTb0gHXfK4+LIhwr6M7mn74zZ00regz+RzBAhs+sqf/rV7+PSRW7h1wwmGvBZfOGpgkaOf6UN5gv7D+eJIOQPiKiQLoXXqdXBtIZ9MCcjkfiPF3M3rklwM2SS92XIGMeRZRLDukbnl7XS7iR1pvBExeEoI43bsyjCVuGTDKPE6zL9kXVIKoHwxwB8yDCvyjG1CRjD1TvN8wrZH4WSRDfd3KB+ZRseu7LhP2QzdWckiSqXLpEJZ7EGJx8xmMIvh8EJplvZN4LQVyhMGYAWUjs0al3fGG4JM40SyJJQmmBzCH/JyBvZvP/DH1JbOvHC8IcnjtoObZB/OBgmF2hT/jR9GNvsVZpImWZWESOIFREiS1k7YpCoyXG4Y6yahTHtC69TnrzVhyXg90hXX5E744NQ+fm9iP69SLzN7u7NA5W6467da4T9tTGNad7202mRdyj70qCTwGtoYKmPfekkmBsw4BPp/nrqJH9/2JADrvBqv33oYgG8XbiIqiPx1uvvTzVRV+n/P2ab08nvNtFloKIRKK45FBYHbVqYfcYanhiYsi7whLuc67RrnRM2wz6zbKteNR8mc4zVV4hJVhRSjEDMyt6mILhiu63QEnYkwSc7Ts90e18zOtUuibrtLOLQUbjsiiuRy7IzSy6yPCTPquobTypeHWPa8L0FXBbOIJ1owah7ExIMWBpzhkAs7PLbeEXDwNytc+59qyX+yYVZ90erkxK/OsLBFinVSUvBf//7dnOqM8Ln9L+G6P0gxCr0gr1oKU8XddRJObX6T81V3hsz2A//xVl6lXsYDf/xxAG7/4Z9M7+/ZFEaOV5jM/eQAQoBottFyiGAgL1n4A8Lmg0xtP8qyYt8GfPV/bIQHIiP9IFOJZMv/eYhH77+GdfdnxqW7bzmYsErLE3ZTmLe/LCtfaIFhWo4mWanjFzLoi13LluFZyaOxQbDun+o9+tTFweyKrrNSUNvYJnSYcte4vKCOoqS+aFAZSyQLGUTJczffGi1gxx1WyrRu2iP/S4VrHm7kapRqrXuPjRBpv+IiTVGUZw5OhvlYG45Wmqg8gdNRnPhJSWHGjOfOjzbQfpCvs2NLGSZOl2ScNEwOEZWXu+5XS2vekDVaozVaFV0VNouBgU36FZt/Dn3cBPDrSHHhl29m9KkOXs3YFpxzs4kN4+CfXkv/fmPs8gdh4uEgV4peS0H/8Qay3k5sGgA0U1Tl3rsuAiYLd/l4geFXGhzCuRMme8PE/aZyeW2LsEFhBsK9/sEWzcliIi2Up31aYwX6zrQQkUbOm9Xvrq/fwc+fejUPntqWoBEHBxp88JovMxUM8fGDr+K/7fsUAO/5zK9x4+tMlNTpPzFIy4U9Jo/kzA9pyhckzeuMjWbdPxaZfnlE+Yyb9MtrGtUjqEhaY+nKUZ4xIqfXVMxda1a+0acCRKiIyg7SV0meyb6j82jH4fWf/VYyRl+6cD0Nv8DUuSFecs0Jvv34zuS/vlMO17/tGb51bKt5Pq6iv9qi/vgoI0+ZsWlMmrohQT9suu0Uh46YtIIjGxZptIqUHuinNGuDoWw4dWvUoTwTJbaKzqDEbWn6T7SY/pBZ1TuBS7tRwC2GBAslZNPac9a3EafKSB+qBmrC4m7Y8dLTHD49wYZ/cImsx605IVm6LjDYCUvrHteUZ0LCiqQ07dOaMDpc5Am8hqIx4VCeN/0tzgXIQCHbAcffPoDeaZM6LxaRLQdnfZOgYe0YvkSUI9xSQDBnjbSRQDsab8lh+EBaRKk9quk7YyTEjg3WkwFULtrrLkaULpq5cPAXylSPmijVoGrGXLkQDkWIUKBdjQitxBEJdv1Nm+b6Il7DtBWVBPvv/WPqcy9ABOezoTjqFCA4UCAoi0Sk1S70H19dO+/Y9yh/X7mB6YUqv37DfUkqvNZ4FS2htSEkHqYk1oN8Srvu9HYAP3/q1fzllvv5cPUsU0EabPFX52+lFhT5pWse4FstE1Kvd6fVweubzMQPKwaW7kw0aZSK7NhowEvntm5iYH2N8v2DdJPXVDCd92B4TfOj/1Rv2bM7B+cnD93Ke/Z8E4A3rX+KmaCf+9jFzuoMB9avT45rN0wIaqVqXuCCa1QPfyykud4wpsYmWwpgOORivcqeXSbZzfHpEcK2x9iZ9NpOyyAvy7OmT7EtQ2ZsP+NVa+wOClBt0gpc/GJIs2Fe6rDhwboA0XHwF42oHpUVh45MIopmHJrjpt3mpDYvdQfUHjP+xXuLOC2jfshOSGEhrqIuQGmq50yOFQDZiZDWg+G0BbHp1KmGxHG7omnVr/4Q3XLQUwXKSzauY0DjLQnCflNQyOmk76s/CG5bJLk8HV+w7jsWOJZJ2NuL4lR83eS0BE69Q3kqVYu9JZDB6lFZP7BqyN0n9nL3ib3J71duO863a1uWHTe0cWnZvl51QrrpwVPb+PDcDn5j5Fiy79dHH+DJMyZO5Tv1TXz+/I18/vyNAJxaGmZP9WJybDh+6YKWXlMnn/x+hddIP7n9zfS30yNRL0DzfJUvXbieL10wdp77zu/iNZNHuO/8ruSYF0+a8pHfOb+BZr1Is15ksr/GZH+NofV5b0owGi7bF5PbVMmnu1+uTSbstBROa+UJXZ+qUunrUOnr4M26jEwsURhLPVFOS1CYdilU8uMZrlueIcptx9c2L6PTDs2nFeG0I9x2hNOJ0gzf2famy4TTBm3qzZnFpTDnUJizleBmHZsz01BhQVBcNN9xfE5M/qDGH4BgJCIYiegMq+S62Wt7cw5eTfesG+LN51/t4oJx0zodEyYff3p5Aleiq0OysAaerEokQ53LmAQkRiDdyRvMYrdW7DJUiNRolDk/LkYLJCUFZ/xqEoT14q1nk+S6J6Iq7XXaJK4ZS6NHY49KmrY+hYyT8ZyEgctUMJB4SQDed/qNqEBy7PgEn3zjX/GO2f8VgDfsNOCxL5x4Ec2NVrU4X6C1MUKeLVPeVufYiXFzvS0+InSWGU2zRqu8u3P5WCcw4Egvs4yLQNDwjfj8P0/dxLu2PsJfHn45QOI5uefItejNLV6/9TBnmgaFVvWMhPHU2c24E3bl2tQg6Lj0FX3OHltH3w7zwkahgw7yBkARpf0SMUSb1KsktObwGTMG2gK2tm6ZwduSulP9CObODjE0uUTdJvCJJjs4J0qUiwGRJ2iPm/2yEFGcLqBdKJUCe13rbctC17NjlplPCUzbQrE0WhYAACAASURBVPXjhDycLxKs95EXKjj2mThTBURkkucW7drT2KwpLAra6xTqmMCzLm7lgXY0KgRinIcmHausxycyhnzlpTFJpRkTeetPhBSmXGSUGpC7vT/5m7w8/cBKFmu0Rmv07OjqkCyuMH32iZt51w2PcGBpMikpCCZnpnNNDfGosTn4rSJgjKQxGtNpmVodhXzFPwYHjB7866MP8L7TbwTgE5v/mRed3cbe8Qv8xqm3sWXAnHT3wb3s3nCRX9nzdT729bcB0Ly5Sd/+Cs0bWrQv9DGxYxaA2gPj6B9qE1RkTq0wfYoxCyluIKzIpHgzLFeh4lIAcXYMVQ3Z1L8AwE+OP8anzrycn9/9IHdfeBEPXjDGzDfseoa7//kmHuzfSqNlZOCbNxnjdHm8iXfQjFfDqaL6I+bKFTbuSGslVPo6tKUmKqc5OUQEuWjS2MNoDZJePeDmncZqWQ/MNZtBgYsXBxkfX7T3otm64yKLrRLFBXNeq1BIyhsClC9YdOs6l9bGEG/JIWiU7PmuQalauLWy+SiUKxDaFhmSKahKSGHqjJQ0qmz2l0bacLKPyq5F2i0jdYktTaJTFWQoiHMeO22BKkJhUQIqMWautNKruI6KSIMho5KJpA770uNaG0IoKtyLHv7GAKyBs3zaQxdcVNHNu8B7ALhWou+KWQghTgA1IAJCrfXNQogR4H8A24ATwDu11vMrtfFcafAJmyZtwEwkEckktd5qKpK9cpuxgN67/zoqJ13uHjT2i8XTxnA4Ma3QDoQ2FR5AY4NNAtMjzLybPnjNl/mr87fy2gO/jrJi84vObuPJWz/D5xtVfvvRt/POax8D4InD17DrmhmebGyietZcK6xU6DunqO/wqJ50mB8zGJSh05rpDX0UxiTYzHpZplHbmvat/1Rq7GyP5JlFWHZw2stv4p0veYSjdeMR+ujR19HyPf7Lhdfxa/v+if/3Gz8KwBcvvJjyjITUOcLjU8Z+4R0r0zcVIxclMnAJ+gfgtU3OTZmXp2+gTdjwqG1yE29IrNq1hyXlWZX0u7FeUprTpAHuho5MraNYNLaFi8dNecXy1hqnn1yP4wuqNvlNaxzW3zDF2dOjrAcq07bhpzwWb+oQdSRMG+ZTnxRJTstKoGiOG2YWFQReU9EZkHgtM7lKcyEyYRbGsBlTNGrUmmDE7PMwNhK9KSKy58uaS3tziLPg0ulPo3+dDtYbAp15W8ApMN4b87+mL07BV1b4/Q6FJUG7q5hSVNaIpoO2qkxnWBEMl+kMeznVU62ilmxM3ws15HVa631a65vt7w8BX9Na7wa+Zn9fnrpcuEktzPiTBdkE0uqJ9jil85+IfK3TjJ6mLWhmvlNhvlNBhAIZwS2TJ+kELiIwsRUxSKgzqpJts/rpBI6c/eT0Qa2ZCoaoBUW2TsyiA4kOJHvHL/D5RpWf6KsThQ4LQYWFoIKIYM6v8IahJ5L2/CH7whQjRASlYkCpGJi4ktG27UParxhpGo9L7n9ldGujX2f6rTMwa3sPC0GZml+i5pe4cd1ZgtBh/egi31zYAZGASFBd1zAgsNAlDB3C0GHnyCxjozX84SjXL38A/CHNQLGNWwxxiyF9RZ/KSNP2Je1jum3vJzPWKM26YoN1xQZDhRYbRpbYPjKHDiTOcAdnuENzsYweCQiGsn0QtALXXC9zv34/OMUIXdCookIVVXpdazOJQ8qzY2XC3ePxMvNReRoVSFQgKRUCRN2lUgiS8SoUQwgFKpCIgjKfyDAMt2nmmnLsx4WgXxBUTcavoN/mPrXXzefvELht4zZVBfOhoJAFM2fEkJ+5nsiPaRTbua4sgvNtwGvt9ieBe4EPfq8vsnh9uioGhxzCsiCopAFSfScufX6sbrz4hhNM3LLEPU9czxtueIpDg8aItnBkI60J84QuvtScEw37TDxstuP8Et3bMX384Kv4pWse4Dv1TXzyjX8FwG+cehu//ejb+c3Q4ejr/5I3PfMWAPa9+WmuqU7x+0ffxNTL4oAswcVbNKLh0n5pA2VF5aVXK0aqLYozy7OWeE2VkyYgjaItz/U2e3dLF/d8+wb27DbejhO1UX73xV/gd7/z4wC88sUGC/Lg0e3o69q8Z8d+TrVMJu9+r8226ix3Hhllep99DtuahG2XkbElnj66get2mnaPTY8SdFzWZVynbtMkPHZbpoJaXIO1ei7t21ePmujhKDSr8/Wbz7NrR1o/5fi3N6Eqisr6OrWtRhWSm5rUnhplfN8Uin5mX2TxG5s7FA9X0K5m+CYjolXuGMJthMiOg1vrUNExdkGCBq9uKp4DOM3ABKFhVIm2zfWxWBtEjnaYOjmSeEJafj9eS+DVRJIhvbFZUT0hqe2McHxBxd7G3LimNW6ye3fW2+ze/v/P3psHWXLc952fzKp6r97V9z0994WZwTE4CBAkLoISKN4iRVOUNhQ6rCVCtqUNSbYcXseGJa3DIYd3V7shr2kyaImSSZFeiSJFioAIUCJBgjgIEBhgMJj76jn67n6v311X7h+ZdbyeHnAgabVDeX4RE91TXUdWVtavfuf3Kyl+98rUqdUWeBUIMwiLucsOkeMQTnhYF91kLdhNgb3a1mPOeiH+35+yUMATQhM5fFIp9SlgXCkVs8fMAeN/y2tsKE7VuAQDG78EP0i2DmjP6Hx1kMMvbU9IimNKwTw6ZtHYqhIUbo2ZqR9a3DFqt3X3aK7ae/5PH/wjXmjv4Ex9OMl6bOlb5aM3vUzVL/Jjx97LX970NQB2fPFR9j4wz49OHuMrf6anq7ZH0XdSUr2rC2eLlPbrC4jnC9T7C3hbJZXz62IWRUl7WCZZIXclSugL69N6vENHe3P0WUAbgEfuOMxPDT8PwOeX7+HPFu8E4KGJk3z+8F3Jfs75PNwGL81P6/lyAiZKOkXaZ2pcmt0iOQ/qC8O8+50vJy/7TZMLrLSL1KfHcVfiKH/shlgUIl0wBNCtWAnz+K5xHfdo+TmWm0UWmmWWq2VdXwGM7Ftm+fwgnfMVKiY2sdbnMnhgmdVmgX6gPKMvJ7t5vAMtotU88+e1wpsclBRCRehaRDmb7oA+b2QL7FZEa8zGrRpk7VDzhshOgNcfMb5VZ2VWaiX8psP41hVWh0z3nmeRK3m01lzEqjlnf0DDdNaGOUFrIo1ZFBY0ipkw+IfC15CQoIuy4s7VaLoDJwpYXtqJ6g9GiAEPAkk03dEgRYAfCsJSns5YPklVhzmZxISuRf62yuI+pdQlIcQY8KQQ4lj2j0opJYTYUHUJIT4OfBzAzV9ZYHRDbsgNub7kb6UslFKXzM8FIcSXgLuBeSHEpFJqVggxCSxc5dhPAZ8C6CtvUutjFiKABJJNHwAqgiiifMaiOW0CY57QGIZhb2dinAfvgS2Lm3eAY0/p6snuJp877zrFkSf38MTSLQlJcRAqavv1tRqb40o6/fVz6kF6LaU0U3mMrWCu9bOf+2dJZWZcR/H48f0cPrkXEWrXY8cXHwXgzE98kt3f+jmiOZfoXl2L0HcoT+2eDuVXXdoTEd7L2m0SD6wRnSszfGRdUVGkK0mdxvquQv1z6LiX/l8Z90SkBUhxrOWZP7mdJ7femhw/uHWV7sUyn7/4dt5//4sAfO0bb+Ghdx3i88fv5OZJbUQeujDNUrWMO2+x9rC+7zCQRB2b8kiTb335DvzN+lrHzm1HerDpRAY02cQAyq1QQwcacz1XC5Jxn35GZ2PiAO78ZMCmzctcWtMBWe/JEfIDUH7LEtUJ/VUvuj7qsWHaN0eUHcHK/QZ82ZcMfrtAd0jg36IvVrqkuzStTojsBBRmTZ1D7IbUfaTB9BChgiBCKEX/CUF9Qbuv+RCCmzvUvzNG0fRDBkWwOwVGGgq7ox9IY1OO8qWI+XsE+XqE+7q5p7KkM2xiEAVTLVr2qfyVycL4IcIUZlW+14dX0TEh5ejz9r9uoewC7VFFYTF9J6y2wl6pUvSCno7o2K26FvkbKwshRAmQSqm6+f0R4LeBrwA/C/yO+fnnf9NrXE2a01EPfeHfRKQBsC2gFzo3tbhz88Xk72cYIT+v2bmcpknDGQKiwGBpgq7yC4oWTq3n9Emvx8xamordPbXArr1LrHhF9pbn2fuALgDb/a2f4+RDn+FTtSl+7w9+HIDWlKJw1KU1HRG5EZGpOMwf7qNwsMraqX4Ky3FvSJxBkdQ3p2OrXIzjABH1Tdqk7ZsxhVGuhdUNCYwbEoPy979zjgMmdXqxPsDB4Us8C9w7cZ5zDZ11sLY3eOLwAT548BCOudgdN1/gdGuUb83dTOlFnctrboqwPUEjLFO+q0rMlDqxu061XaB6cRh3NZsN0exehZUwuYfmuIW7GlFu+Ey+RSumTmBTbRS4f/N5ztRG2LRNuydzlX7Clk3UdJGnTUzngE/t7R32TC2w9PKWpKeoNaFYPRhqZrSWvvu17U7SG1JYErRHTTbEETjtqMclclcCZBBh17pUb46wh3T7QRhI3IKPf2tIy7hHGJoE0bCTdRtua9MdcokKIY1JO8mGhPkIpy51wdao3iZrLo3NJlbiKYoXtXKr7QvIL/a6kbW9ESoXYfd71EZyabFYKBg8UaE7lPLTAkRn/36yIePA00KIV4DvAV9TSv0lWkn8qBDiJPAj5v/XtYiLBQ4aRXHowrRWHoC7BOFUF3dR4S4q8gvXkJNdJz8ydZzvXNrBdy7t4McndCXnx8ae58nZm5J9ojmXT9Wm+Hj/ZfIrivyKIhjxya8qxFiH3KLF1MQqUxOruEtXu9LfvTw0cZJn57Zy74Subzg2P8ax+TFuGl/AXnJ4bn4bzy5s59mF7elBY11yVUWuqsivpMvrlrHZ9ad/03Lf2GnuGzvN3WPn2TOug5Kzi70u7MCY/gjkaoJcTdBcKiZ/s7qQqylyJq1aGGnxdy0TozXaS0U2j6bVAiOjabm7NxjiDYZEy4ZJr2phdRVBGYLyFaf7geI0emMOYqhLfrhNuJInP9zGGupiDXWvcvSbk+ui67S/OKXu3fwzRGd19ElFiuaH76J4ucPFd+iv1LZPHocwImq1qP3E7dS2m7qBJgye9CGCuZ/X2l0errD9v6ZWQoxvqNpp1+nyezXLb32roL3NY/ybNu0RSceUCd/+0HEm3DW+/pW76W7Xky2XHPb8l2U2IhnCIB7FnBkr900nTWFxCXdpRlK+pN2E+XsE/Sf0g16516N8NE9+RfHib38C0EHP//Cuz/PPv/mTfPCul/n6VzUH6s6HznLsxa16HFeTq4GqxP+/ChiLsiT1m0dpTqQveWsSSpf079W9et/BI4K1nWC3RNLtmKuZDMida0lZ+H19JzjTHeOzJ96C9VwfrSmTPViTSA+2/kmGCf5qY4qxRMKIxQenzN/N2MYMoZAJLvedC/HKkrUdAse8n8qG4dd8Vnc7DB3zUL+ute3u/kWefvw27CY09uhntv/fLZBgV/pBii2RRbrK4lGYuay/ZZrATWkK6lsklQtpb05QkFjdCKcRJmZ/azJPcbbL8s0uQ0e7VHdp06LznjUcK6TeKKDm9TbpCfZ8wqznDArY2r1b8Uoa4CiuLSrN60a49pDUGTAzlVYnovjS+StIhp6Z/wI1b/6aopw3yr1vyA25Idck10e5t1IaizAjlqEvtNvpPjrAqWhOSApLWjv6JYH0FWFO0l3TmrjcBpVzNLJVIY/oxgCyqUZd26aVaVBU9L2WY/4hD9mwsVp6+/MntkMkyB+oU3pRp1PbYxqINSrmEgBdZ7WNP1ggt2BQnAx9YXWPJCgqgjEPZ1abnK27WgTFIt5AhNUW1Pbo8fQdytOaUjT2+j1Bz+1f/jjvfsurPDO3ncId2pI495fbse+o44+Vke00DSoUyZjiL4fVCYjyNrLjExnCGtnyybKIRY4pW19aQ4QR1Z0WnmmN9oZD8gsWjYebiOMl8qaTceWBDoPP5GmPkZRVd4b1MQ9On+PJr98BwGPTN5MveXSWC+TvrqPapup2VFEsdwm+WcmMXyXPR2Qap5SpMLRWmqzuM/tG4A+GupNzRVDfHncQWrTvbWAdLVMywcnugKC2zaGxLWLwhGDuWW2dLBwo496+QuvVQYShvQyHK7qIT4LsBMm1Y/xTLJGCFhtWNTyfxqSV4G/4ZXCXFKt7JO6SIb7eoihftLGbGZpDBZGdx27p+NHKAybwulLgwK5LvH6xn/IOHQhrHxsgGjRzFUQJlmhrVFe71rdZuIt6vmrbbSIb8lVFdaeVWGG5mqR4skTk5nsLu5av3bW+PpRFhkY+FmWBEhuUbkuBu6zZmZJ9zX7CzpR7C5HCjUnZczxA6ZKJSm+F+m1dRp7K0RkWdEb09vJAmx/bepSvfO2tNHbohyM7GhhVdoIEJRohEtj+xIQF+s5qPIpcNU97k17MpUO6hFtEsHC3rqMAqN3ToXDUpXLW4V//2ucA2P7lj3P2xz/F9sd+kQ/f/hJ/8ZjG9hx6cJ6F46PY1XURVaWwu1e2XccUAnFrs1CZalghErcJtMnfdz6kabp6C3M27QlF8dvama7t0ccNPpNn5c4A95KTKImcwWl46vRuHv3xJwDwI5vL3QGesneinh/Am9TH22uCwC9gr2VcqfXdkOth5oSg/6T5NQKwaI8KukOK0gXD5nY5JP+XJdZ2KFb2x2jXMPFsQFiwCV3FrYYewgttjn57h15nZT03st5JOzozbojo4TrN0DmYeSwuRAn8X2ERGpsl/WeiBD7AXRVYnnZLEjdkwqE457OyP49agMGn9Yeu/o4WpxdHKE3VaZzX8Rg1HCAa+quZpQ1wVxVeWVJYUEQG3bsyE6IsQWdQ0Hc+zYxZHc3DK8Kod57Da08QXB/KAq5AJFaGryNuvdUKRT+85pTAMR9yv6yPVVIgHZPqssjwS2bOm/l9+W2mLblhUzyaZ+meAKviY582PBYdhy8du43+g8u0n9Opuc5kCELQHSlopjD0FygqOFj1bg9o7dIdCmtcB9DkJR2Zb93SprHD0SXcTVsXXAHlV3XWo3tLh3/+zZ8E4N1veZXtj/0iZ9/zad519H381ke/AMBvf/aneOC9h7nw57vT2+qEydcidO2eL4fVCpLtYNi3QkXk2shMGi1WGsu3SLxhvRhzoy38uSK1vaAKEcUz+rNY26UYft6mepNKlERnRM/9z9z8PT71F4/oi29p01dp0Vgtcv8HX0vnplPm/MogwV+lVaiyo+NOkWtjtf2kiSv+utvLTVYfNIjugYS2hQgF+SWLrumLWK5IUJpXY/CE6ecZl6zutfH6Fc7hkFee0oVh5VuXeehdh3ji+7cwOq4Vb9hfQLZ8VMFBrrWJinHDhv4QKMNBAiC7fvLSru6xEmDgzlhEYQ4W3qoondf30JqMKMxbOE0rbSRrQ2cgr48TsHKnfk5D5TYrC32IlpXw6cqWTVTRgVoRhgjDvVufluRXNTaoZ+K8rUmJcnTD3Mqkbl8HKMwLSsddVCHXC1tgXXsk4rpQFkqgtbaINXlE6AiUJZPKNP03fZdRDrpDmeMtrVSKJb2YvHxBny/7Lxbz5c9fNGmx3S1ag5LCSZfOhMAb1tfYPbbMaKHBc2e3w36t1Qf7mijLIVftptrZEkhPEwFpw8J8YeYkTVcvtsI2rdk6cyXK5y1EqEu4OasXQHtCp0dzpwu87z0a1u6Zue18+PaXeNfR9/H1fX/Bjm/8gr7e7g4vzU0zubYuwh2X9XZD1iOBAyn/qNLYG9ILUCJF81ZSW2CFBZEgVkf1MmpAm/vUJe1JU724bNEZgSgf4vWZZ2Y8gZONMfoOaIvh53Y8z0x3iCfCm3j6e/upbNUv5dpKCTyJVc8AC5m+DBmXMsfcn4kLIHGPGuVibs/vU0ROinJevAx+H/gl6AwYN7MEhQVN3aekINii18jOwWWeeOVm3FmbRVeXho806hBG+oX0A2QzE8Q2Y8iSBMVf6cKCShjec6clQQEqp6wEo8JuS6yuwmkqSrN6W3PSojQf0pywEKGidEavx3q/S6G/Q8fKE8U+CwLZNARLQZhYN46hfVChdjtAWzbK0v0kxdm0f8VuX8WyWA94/AZyXSgLEFdouMgBZQuGjpqbkdrSEEIQFjQkGcQLRhDZgu4R3dUY5TWPpzAM5CLDKBYrpMJBXZ67tlbAuZCH29bY0tdg5qiGjjvzwmbOCHjwwcN8+1uazKe2GUZlQGfMTfpBrI4mALJrXf3imfto7eskUHgxcM34jmVWR4u4eZ+o6SYl3N7Lg0QjPqNvWUqyHoU7lvmLx+7htz76BXZ84xc48yO/D8Du//pL/MY9f86nRz+czJXdDhJlERStnqIbO7YsCsayaAW6/TpvI/0w2Vd6PgjB2o4IMa4V0c6JRU5eHMOfDnBLHhzXfnNnMmDgsI3KKaTJPgaj2jK52BjA/5a2xP7Pk+8mKoeURlr860e+nIzpdGeM769swR8eS7ZZ7QAiRZS3dawlsSxMi/pSC/dePZ9+aNFqukS+xJrPERb1za+5GoVb+iLpQPb6BY0tAr8/Qkkov6QVzgudHYxOVVl2y9y74xwAS4NbsZoeYdHBrraJSlrZR7bUVBOWTImN275+0ZSisRUi4wL7Ez65Sw6t/V3cU9pKbW/2cS872M20Rd1uwdpWC2VD6Eq8AXN8K4dacMi3BR3TGxIhifpNCjiIEsXRGdYueeAKPFPO45cjopyieNlibQe6uQwozkpU0SUquWnMClBzf79dpzfkhtyQ/w7kOrEs3pz0nyDJJMQWhq5iNIGufasJY1n8c73Ir2lVLHeAtbdO8fEKi2N9MJFqXWdnnW9/6xY+/j4dsPvG/D5kq0ThvJ+a70Jg1bupeWpk5K/zXN6qi7vYorMx9afHGLigW6DX7o8Qz+uvnHhgjfzhPpovTLDzH+kurHN/uZ2hB+f57c/+FOzusPu//hIAJ3/mE2z/yse56WIvNmg8HmeFXjMzdkPiGiFTH2Ct+3ssE89BY5Me1xxbkFOK8gUBuNT26y/d4CsWtd0RuWULv2JqJ2a0Gb10cpL2fn2/hf4OXtdhqNTif//sh2mbcm+naiE92HF58YpxWuZ3GY8rdkOiCL6qrb5cpMF62mMCr19RuKzvZuBUiFeR1HbrICPolu/RlwNW99pAaLhktARfHSE/LHjB0mXku+druh29oQO/VkuvHcsEOJUlE0pCDX+gLYuRVyP8gnHHXrdZ2yoY+EaenLE+g9O6WtZpRkmguTGVo3zZY/FWF6ceMv6CXsfzb3G0W75OrKW1dB7MWhs4FeGVBJZUuEv6oOHD2qpuDyv6z6RBY7sdINYaWF2vJyu4Pgv5RnKdKAt1RVRW+iAClbbQGkwDpRSNzQLXrDO/rNtsg4LA6piy7ENDqMKyJuMpuog102igFLG9vvaQoaGrO4TzJToPdin3tWFNvyhWLU97qcgjDx/iPz39TgCGNlUZdW26o0Xshja7rU5A4NrYdR3HEGaBLd4b0meAaoVpqVZ3dFicKmEPdxgqt6n362tF58oUDlYJgGMv6oVr31Fn4fgoD7z3MC/NTfMb9+iq+e1f+ThnP/ApHv7Tf5zMld0Ok0URFuyeoqaYXzQJcLY0JkaUtw1gqwnY1VqgFIt3CPwR/bIPja9RCGxqFcPoZgJu1X0RxUsW3dtasKpNdeuAXsy2FaFe0oq4PS2wyz7T5SrT76nyyPARAM52R5Eonn7ynnScnQCUSlO9OUOwY6L8zkqL1bfpcSlTwlwabBPMlQjGTBdmLk/oKoJylHYKTwqWD9i0dngMHpfkTTozmGhTuy+gUPS4Z0JXnS2MbsVqeTpgXWsTFXNmDNKkOmWC6C3baYBz8aBEGkQqr09hdRSLdykKc/q5d4cUuarEaVpEMaFRGfxSnqAI3oDN8n69bzDZhboNQuKOGFQ2z9ZpXUxviAlwrm2T2A0d3IzRwDojVhLHaU6LpNw7VxWUTpR1gDP7gVi89tTp9VHBabhOg/s072Zuro5Ya/Zwnc7+44M9PCI/iOv06L/fROWQm/CKgO6dWJ91Kc53IYL2eK5ne9+hhQ25Ts99eJj3fuhZnjElzpcvD4EnGXrJIldXSVR8bbuk72yUcHoAPbwehaWI+la98/ARn7XN+uWYeMr45WNl7GoHf6iAvdala5Cy3It1uhMl/vqP/gs/P3M/QMJNkuUlAY2p0T5fwW4I/tH7nwbgzz97P/mqojOi0ZhiRm53RdMGev3p/LgGscppR7SHLIoL6VdI+hFrW52ES1VJzR42cLqbsJ0rRzOJRzmblf1FypdNfcCYjQwUP/GvnkxQxM+cG4NAsmf3ZU4e3YQy0P133nSWi/UB6k+PJYhlIgK7ExHkZQ+CuVeRFJZ1hifG6egO5miOW9gdRd+5js66mLE1NxWwuirB/Fj5n5o0jw4STHYZ+naeldtMqnesTXi5yK7bLjLznS0AlGcU+TUdiM9XQ7qDMWSB/sB5fTL50FmeInAlyiJpJEOhQ3XdSF/fbA6KFvmVruZ2cVOu03O/Yj4Gl4sMHDNB9OUId8UnzKXrWijD6hbpZ5LwxypFY8Ji9WCIXY1pEhSz/9vv0j3/Q8R1+v+VxNwi/uumKGpEUlyKaE5ISnO9lozTiPDLckMOkKwEB7TyWqzqr+1HDn6fPz9xC0GpjAhJKAVjAqCea6zj9cjiUcRNYbFkC642kpiXBOjhJol5SQAe3fs0v+c9iAJONHQwMShqHoqgqLkwc0ZZNKZ1FH/ktV6zVESaH7Ow0ssxIoOI8mWZNCUpCbwBeGKsKADKsz4iVD0cJV/0crQ9h22VZS5MDFDI64HtLC+xs7zE/7N1kNGXzZjiCH8r6DGpi60Q6evaAtnV18vVhFYeXpRsi6Ww4CH9kKCov/Zj5QYnRspsGq+yNjCBMl2flVKH6pjFiVOTlNZ5ta0xSd/pJlY3Z8amEIHCbklkhkU9V9MZpyRAqnQWUHq62S9mUbdaqcVnzRP/UQAAIABJREFUxVkYpQCJOl8CRyUKfej1Lna9i51hTo8cid0QyfkTgAilWNuiWyey3CLCv3Y8ixsBzhtyQ27INck/aMvijWQjoqAfZFXE8vi5/Qng71XP39rYvXNa0YZgv+uRumOR64hv9O+hJjEqa1/714bO8C/nD/LLw0/z0Ou/zNZxXefwamM6OSYmMHq5uId8VWC3xJUM49BD+AOkgccNiH7sdpp63ZhGPbNvBr5PGE6Y1mwZdI0UD06eouqnRVr1hv49JjcamKhjd0xhUoazZX0DmlqXgpfdANsWG+I2yG6A8COszDFD42ng2C6l1a3FUhfvnItl2g8CVyQcILIbYJmyed26ECEiKwmGqthCyFgWcbWv8LUVEVsWUmw8kcFigeKqoD2m8PrNM+mG+rhM5bBUVm81cWZ+NiIjktce37w+lEV8OyLus4/W/WQD0qH4bxnSlzj+IoToISKKF5eMwWqDDE5lAhbb+3ILE0xNAFwBpRQf2XuIPz1+kKdO6ArKB/ecZP/kPOfCMqErEkXQA0Cz7oFcQXO/gZ6I+yNEDKqT8T1RKiExAhIioyyJEcAfvuuP+R2pg7NfPWfiQWsaSVp3KipCExRubYqIygE8v24cYe/LmB2zBrI1c0PsM2eekRl7dg6T7UoTGn1x5nYA2p7D+7e9xp+duo2Ht55MFMfhhUl+fvez/OmFOxBRoXe+VIYwSQ/iyq5aRbpu4rkEiEF4M/ufvDiGattgR9ijilxeK4tK3qNjRfhhWr8hA3pIi9J7Ni5GttclQ4zeMzfZn9m5EaJXESqVkBS5SxKvL3NsfE9yg/Ot+z2yIbdoYXkZhfQmQpbXhbK4HsQvWTjNMOEDuRIOV8sXDt+FnQv42C0aNWq225+A/zpNhWdiFj+I18NpRfgJl0fUQ+wMOnuxUa9HLDEvCaTcJFleEtAAwceXxmg0XP7FHTr9+7tHPkDxcgxsnC6a0owkdHOEhV6/PqvooizCUqA0n0ZiWehz2VeJtQQFO/lb6OoGp6gc8Ms7vwnAYlBhya/w4V2v8PiFfXiBXppTfWs8PnczK40i44U04KcH1KssRGjGlJl2JQVBwUZaJuuTGV+Yt3q6Ae7aeZ6FVoWi4zFzatsV71FQVHQHzRfch+K8ojAnDB9HbFnoeVWORMQWS6ws4l4lSC0LKXpb8nO2jjVYQnN8mPuMCiGhK+mMh1gNkxbO2wg/1CXxSczC0gWM6y0L88Pb5EM3SyK+/kldXf5BK4v+w07CKwJ64SsLSgshftn0HKTvXKIo3kgKR13u/uBhHp/RPCPV2T5EIBhqKuy2wurqp9I2vB7rFUbM61GZgfZwqizqm/W1+17vvZ5WGiFB0SBarej0aMxLAiTcJFleEoDf+P6HUTMlck3Bl6cOAuAuCey2IigK7FaK7uyuKMKcoD5tY7fi3HxK9tMZEgmTN+gIf7cvBXxVUu9fvoqy6A6kc+tVNKjwR+98nt87/Q4AllYrRL7k7t1nWZnr1zD6wLv3PMMfnLwX+WIfjUnzpY50ViHm84glsjXbuaZCtMy4Hbp9ErujKM2pHmXRGcun2QgjF16bwJpqUa4pVhd1QHBZKpqXK0zdMs/sMR0o7jcZieJiRHfYTe9PgeXrscVzG7+QyhLJ+hCRDjBbHR2Qjd20yJLYjSt5bq1ygHdTgOpa9L+iT9gey5N3JFEmGxLmdVm7UKqnnB8FuTpk4X5kWxJt4JpcTa4rZSGyrsW6mvUeHpF4H7iCF0T/SSXcIjGvSHr+dchCxkRd74YQm5Eycy2la/FXu0XuntToUU9euBXha+6R7PkT3o4wdTt6eD2i1F9MuE5gQ/dKmH6OeLuIUl4SgK3jy5w5O97DSwLw64GFZa5377COsfxJfms6rpAetynZHrs8UWbu1mGcajRu6MU9pdelMmNXMQ9HlL7sItIcJbeN6LjLETlJ27e5f/Akz4e7EKZu4bnqDvzAIhhQFGd7x6V5PnqvL2LXRGX3JeX8yI41Hq/ZPpJvooZ8pobWqEclcoM69bF9aIWj7Rxt39bYsECUMzwcsbuQXM/8rjJji+u4ZO8cQOwKpfsIqdL/Z9Z0TFQlcyF+WWdeiouxm6qSZS1CkwJRIMiMKzQ1Sbkw9fJzEW/GDbmRDbkhN+SGXJNcV5bF37XERET+CUP2MqzBQlpjssekBk0UFJSsDQmDsvK2j7zM92a38sqpzQDcdss5ap5L9dQmU3hjCmaWNq6zyJIAuRnin8rF3uvGOBRXk5jECEiIjLIkRgCnH/4DfvqsNvOzmJ+dIY3bYXVFAoc3v0cQliO2fG3dhZTOethtC6eRAdsJImSQUuFtVKKcFXc1PTZf1YVTWUKjlUaRh7ee5PdP38vbbz3BSF5bRy8ubuE3b/0q/z7/Lsp/rQO6vSA56TVkGOkgeZR2r0o/wmnaSE+D62alsNBF+CGhqbP4xuk90LS5sDCItRX6M0UV28aXOf/CNJUZUxHZ0Bdevlmw7SudK+osIkemQDkijRGl2RBA6PFlsyEqp+MQIoh0azxAqFDtPMULNlEO2iaoOv58F6vRxbKsZN/IsbSVERu5mfkJczbyooudCYXJNwHPeX0pi6wJrhQx9D+wMTUAmWh2JvqMFL10AfE5YvM1BKeeadmONLGMU09jA2TPm8nALHdLtF8ZxDbkm6+wmTv3nKNVV4R5iEhdjsSfTjpCZWIS2630WknEPnNfcfel1dJl0HH3KEphtQPa5yv8nvdgMnW/I9/J8aUx1EwJy6zHnz77Dv54+zf5ftfjI0/+UwAG6ppSsLCgU6cxDkI47FOodEGlALfxfYR5mfyMRZogWuIeWZnAXTJf8TPTcxdXVUY5C6EU7qzNSVdnbpQvOdI/wcqlAe7b+V1WDHrtpQvD/JH7Nh3wzCoJ6HFt4uuFeQsZRkTx0jbrQiiFyltIo4RVnJFRqWIOLxexPUHUclHb2pRMxdrRSxNEoaC0INKUuAKvLOiOhb3rMrnnNPiqyIw7dguU0hmkddkuAOVYKCkTFDNhK/ILNvkVRZQTrO2O/ZrMg8pmBWOfpMftUihb4a6IxJWCH8LU6fUgcZArG+x6w/0NqnIwrOH+139YN6qbiGsY4gWevZa9ro4hLkt+o+uvdzcbDZdcU/RkML7f9bgzn0M2Ng7e2u31/7+ygnPD3wOFDEUaQ7pKfUAsWZpEqxPooF4Lug29BGUgWGqUsBqSY+1JxgzirmxazNYrPefIViX2vBBhhAi1You5NbAElhTIIEq3GZHdABFEqIJj7l0gPYG0FNk9g6ajeUUzAWxduSoRhQDRDZFODO2ncS5UZG1oWWTHIEBjZ4QqbUSMgcEMvF/8u9UBuwNhJo4hvQDRDRC2Smo5RKgbyXQ6ld6UO2ims4yy2JgCbGP5B6ssYm6Rq/GKJPSD5oudWBQ/QF55djfO/jr7x3V68vX5CVZqJfqK2jT1yvqhrdzkUJkJe5RGUJSazTzS3KMJpeBxL+H1cM/pfSPXweqGOhviBQkehb2qMyT/6P1PJyXce8oLfPXczfyLO57gy1MHk2Dmk7M38ZEn/ymyYXH6Y/8ZgH2f/CcUZxWdYd0bEhcZDX83R5jPU92Zrh53VfeG2O1I0woupatM+or6lhw5U8impCBwBX1n1mkfI2vbC5Rm9Ze6PeogQ81R8sEJjZV3qDpN08/x0I8e4jMv3YuV1y/PvoPnma1XaMyXaU2aF8L0hoR52VNE5pcl+ZVAuyPm5fH7c7RGbeyuojzTQmTcu9Z0SfeGmAzJnQ8d44XzWxkeaNB9bIyVH9E2+q4dc1yu9lF7ew7H8JEUFjWc3vBTebpTkm5/pjckUDrjYy5ldSNCVxJt0Bsivd5sTFC0yC93UKFKmumEUvi3NlmacqES4J7KJ+PPr+R0NiS27CKV8NooKxPAVgrZFXTuq9Nd1WaxLAYEKczID5QbAc4bckNuyDXJddF12ieH1VvtR5A7twGw8pYRhp48A0GAaurMsPe2A1x4JMeuP1xCOVZP16msNVFuHpZNJ5OQLL5/V/KlDz6otw/+XgmrExKUbKyYDbutg21ByekZU/7cEsqxQcoEHVzlHBbuH8PvEwQmZmF3tPb+Hz7+db44czv5/6Tx/rKsT+ur9LJVkdBrCuZnVs19FZCexvcUXkBoUJvslSZhf4HLD1QIYvCkosbCDEoa1yBb1hvzZ3Q0eBVHH/1PPHD4Q9w3dpoRp8EXzmvi48InBolygvxqr/vTExPIVnMaczf5e8YNsWomMGhLiAwiupuZX2OqL95RpjuUWgvxV9BppPUdMWq2CGD0lVbvfKrUvI7HFNkacyIOJCohiIoOwjeEwnHFqa0tPBGGqLwe2+zbKkgfkFC5ENAaNd2ZOWFiULDzUU3nu9gpc+7FaSafDSmfrCXt7BrnQiX33jM3cXl3VgwFIgaxW+UMGXIUEeXT31duHcDuKvxiGjepnKxr1Cw7bSRTttSd0lfUWSjam8q0h21k5jke+drv0lj9Yew6jbEVfHrwK/Q2DZ9PGKVoy5gXL0ZaThZOlNDiWR5Um/rNHg4N/mSgktJyEejjEv8yljAC2wTrYqyNKCJyIL+qcDO5886w4LOn7ub9217j6fCt6XmNrPcLr6zpyP4eB0hNcNeMOQu6IiJFvqqSst18VSuI4mVxRSGVZxIIRYP9+MDhD/HtW77Ev1k8gBQRj936GQDeX/l1wpxIIOXXj2f9uEUYgZAbZkPigLIygbvkGWWOFZEiV1f6WaOVRZTTPrXXl9Z0OHVF6BpFkgQ404Bzz9xGkakTSYOsIt4vg8atx5Cun3iNFRf18brdPuNGeDo24rQinn1Fl/nLrmTytnn8Q2O9Qd24tiQT/E3mxqJnP+KXObN2sy93An+ndLDc6irNmG7FCjb9eyKZ49ZjsYoI3NVwXRyKa5brS1n8HYpfSuv4N5KglEG7NhIW7QQN+42kPSZw1sxCMA/urVPnevYJC4aPY13AMChYVygLuxUSuhvHTGIU7rj010JnSjojIgE8sVupNREU0wBnZ0RRWDDo28P657vGTvNvFg/wW6NHWAib/NsFnVGxu3oxxeNOB6CzGKFrpRmZ+B5du6cNG0B2Nw4QJ+XQkAQhu4O6LR60NRHmBUFBK4Z4e7ytsKiSc6zPPCTnjeQVSj/KWfo4KRIQ4OzfhBAJ3mdnQJJrKPwilBaiBPQ3ymnlFTmSwWmN3Vqtlrh0aYhNntLl3rm0glOEEcqWiJh3JLEsMo1iRlkoGSGiNMaiHOtK6wN0FWpXQ/7HcbAob2MFkUHCN9eypang5IoW9cgReBXZEwDPlvz/ILm+lEU8YXEkxQD0gr6pyDETLDLbhdBfj3XcI5ElUJaZ3FyMFJ0HKVAiE53PmIhWO0z/nwX5zfyuLIHVSSdZWfrfgNNmxKknUaC4y1FZosd8tzrhlRFokfJ69MyFEAkKt8wsIOmFWF2SEl8lQVnaLbBbqTlvddPOUsvk00ecBlJELIRNxqwS/SYdosRVxhGZuelGvRkPKfS+8dc+/pPonVPQ5nBSX0CcvtaZheQeLJGUjId5kYxXKDPHkt4aBeghJorPGzOeJ9t87ZJI34w/dkPiMQUR0jxLy9PgRZan58NKqq61IrU8Rcs32RtLEakIJS3j4qThPxFEumo1tl7iP4kMSVFsWcRdoyYbIuL13TOpuoRc+ioBtQEzH36AiGRPI5kw9yky96vHpc/Rky59E2GI60RZmJJgYz5ZviJmH0s6SQPjhkRRaqJjTLF1phyAWw2Tc3VapmDGmPMyzHyBosjk5yV2OySIv6zGdFUi6qn/sDyF1U3bfa0uNKYFXz19Mw9vPZm8qJEjkzRkbEnE5xYRydcadPNVzGYe7xs5FqLrmz6H3nJvogjpkQDXAEn3qPTT0vFcTeD16/RonPX4wvk7eezWz/BvFx6k327zW6Ma6u5J+35CRxA6vTHv9Y1aye9Cf8WSbfEC7qZxAczYUQrlyMTqiGypy5qDtDdFROYFDjSUf6yfrZZC2nq7iseWvG+9boiKTBxFKt2qjVaoypGmMdNKsiFCKo3klXmhdEuBHotflAlnjQzSmEprxbTJe5LdN12ibk2j7LQmArT1oO8xijfosQixcUYhipLUu3Licae/E0XIQNdERKj0Q+VYCNvqaSRTtqG+uKKRTB+XtiWY5/gmQpY3siE35IbckGuS68Sy0KLK2lHte2Xxir+1J/JMf7PJuY9OsP1zKUN6DJAr2t2eOKFfktS2S5wmbPlvWkNf/CcdvI6De9Jl2xeXMhdWuJf0Z7pnQrqeDqbG1+p4LL/VZ+wpB7utr7a2XRK6irHPlXgpdztb/pcTevsvDl9xDwnK5wZNa866fWM0Z9H1DRxbGluRtRbuSiVhaQeNR1GakbgraVPc/B5BOKyPG/6uvnrhE4O8v/Lr2F3NZPWkrXE8n/nd/8z7Tryb6H9c15x/lQDnFV+urC8em9SW/sIJKcnVmr3HKoU77vYwtneHwL4MrakoAZrtP6UBb/376oz/Vf2qY7tiTHFAWAidLYiiBI1bT6JMA5N2bBX0Jadqj4ok22R19Fe9NBew83Pm3sIArzhB7tfnkD/bQeYyTzA0gDrrn7MUV9IFhtoSU2a7jMeiFNiZKtTdFXK1gHPvdcht1nM5+KsrKN/XcZDEfU6tjPVz09nfR67Ze/31mbk3kutEWei+fpWUt1pgWanfhUYmUo5k8GTUyzAGYBnfNfGVJYErCCoKoQShYdhSJ8tUlgTyoRXUlzJKYCO/LcYiyCIvhRGF/g6B6ySL2S8pwoIOHoU5wfe/sxeAXVYKSHnF+dfbfpm/J25XGKXgwusXgNIt0EHmvY7KgcajyKWZhLAc6RJuIMwbwpycSPcRGsAF4H0n3s1f7Hmc98iPXH1smXGLMNKoVFfMnUCsSxmuR6+KsxWRIwjdtEs3LOh4RVQMk/kN8xZBQTFVaV71PD0SK4FM6b+yZJIVSfczQZowXU9hTrscSurMTOjGLpLQCTdDZhUfrizBhSMT3CRn0jWplF4zMls+mYnhXKFATIo1+6xBb4vvN1KEjiByJAPHBY1WzIFY1d25WT5fKfW5IpX+NNeObAwGSXp5tZFiuYpcH3UWpU3q7ZM/TXhBNxWhIqofu4u+022spl7sYn4lqbs4/Zu3068/4PhlwcjhThprABBQuFBHNjpJHQagazZMtGn20/rL3zg6SOmyoHZQWxa5WQPe+v2IyNI0c3GTV3NcMvZig86YmwTR8itdukN53NmWrpKr6gaoh/7iCH944q20ZssJKGpUDvjonS9S9Qs88dItPHLHYQCe+ZPb6X+nrggVnxwFoLrTou98yPItmlJwbYdeeBPPweIdguJlkYzLbukvZliQ1Kft5GtRuahRo+12SHWntiwGT3YRgSIsaC6LOEbhnl8FKXnsm3/Kv5zX2BdPz++g7TnUGwUe3nWcJ147kEyxO5Nj50NnObOk59GxTdPeC4NaoaPBbEWgCEqC6O012ucMnP1Eh7BjI6s2w69k6ixMhiRGFQdojWs+z4HjDdr/q6GBDGzWmi75XEB9rYBq6W/enQfO8NJLu5CeoGwavtZ2RfzrR77Mv3/lEQYfKyXWUWtM4r5zkeWVMvKyTq33ndbAyUFBUFgKaY3q80aODrxW90r6Tuvj3VUdNHXWfE7+Y4d7950G4JW5KVqLJbbtnMcP9Zq8NDvIri0LjLoNjixq7pMglNhWRL1aZPDZHPVt6fItXdK4F52hOA5FQhDedz6idFEHoJb/VZu114eJHEVUiYNlMDRVwwtscnZAra7NI8cJGf8Dl9p2Jykr8CqC41/8XVoLF34I6yzehNT2xL8pgtMWQUEmyFNKQuHCtZ2nvG+VWkFD52+dXuI8unqpPeSgJLRHFTF5kdd3tbNsLD+75zn+su8ATU+/qNOVKqcbI9Q9lz27L/NTwxrD7smtt3KgoqkMT0zoxipvUNHsWnjDIVFOJpSCjU0FzetxObfBFcFupXUWfxOJIfoAPlO4zEpQ5omFffzE0Iu8PJ5iei41h/jVzU/wf8uHASjaPjtLi3z2zP20qjFnh6YS9Poi7hybI8b1Ga00qLVdwsPDxFrXaWtshaCtEmAbIHH3AO4dOwtA1S9wqTRAn9PhbH6IWlObWAutCnJUKyKvaoLaQ13+cOZeto+uUKWkQYmA9rjCb7lEbRu5Wb989pECdidCSYnVDbE7BpEqFNgdRfGywja9IVYnTArvRAbCsa/YIRqWTBbXOLwwCcDgcIPlZpFz88OEhmdF9HuoWg5KMcu9SXFv8Wh7OayOoDNqXBNPMKTj0Ekx4dVEFHqzWYWC/gg26y5OM6C4aCUl8lZXJLUk1yI3Apw35IbckGuSG8rCyNbppQ23e+NvQvVmJCbP+bGJI8m2D429zMX6ANsqGn3788v38Pllzcp1sT7ArlIa2PWG9RciN6pLnHdOLLJzQv99aHwNd3njL4zdVsm/rLiraVXrG8nT8zv4zNoYn1kb4+f6NCL4I2NHea2zOdnn7rEZAL60chezzT5mm33sjMc+2guQ0B2Mkm37x+YSfFCA/MqVLnDSaGXEyvB07HHn2OPOsau4wIMjJ9hW1PO4Z3SRPaOLXF4aYPPoKoMjaSA0atlcWhi44jrBUPpcp0dXmR5dvfLaXpwqN65HVWF1I11zsk6OLE5wZHGC0WKTblu7so2lEo2lEsOlFqvLZcLltA5freRwqhKx6iRET7F4AxF+n0IN+aghn2AwIL8Wkl8Lkd10jKvLFZx6rweRL+iAdmO5F2qA1RzCj3DqIZYXYXkRuXr4wxjgvDJQlcDRxc+lpz36ysNFXFas98gc13usrkGGrp/e+siuZc6fHWV0usroeM3sNqJZqi87dHW7B16fiaartExWhDG8m0qj60DTy7PkV3hqdhcf26rBff/o4r20PYfvzOzkN2/9Kn+2qPsyBreucnD4Eo9f2EdLW67kFyzaEwp/rogaCDl5UXeYyilFIbDJRZnshIpLwlPfP50XlUDQQSYoGOm57W33VrQ9J8GS+D9Wyvza0Jmkl+Td09qR+PLZWylN1/ml0W/xpbxG5x40YKZizqUzauZr0gdPkssHvHp5il1jWiF3Ahs/tHCy71z8DM1cZqH9QI/zS/P6Wk1fuxjvnzzMI1PHONvScZMoEJyfHWZ6fJXqmD5waKrGylKFSq7DsqOrWgFEPqS7UARLUclpZbacfbYqLW4TMn6+veOJIQ8JdQwC4NjsGFsmVnhlbirBET07NwKBRIQCZ1Vv87Z2EdU8YqyLst2kh8fLhUSOJLItZE4PIFQgohT7JJmyQNAdilCOQpjJ7CwV6Dh5RidrLM6mWKYyNPekuDLIeo1ynSiLv3/pXNIvhLupwcrRYUb3LbNaKxHU9VdhBHCXFct3hgwcMVV7BhX5jcqzY5m/PMBT7OLByVP8wcl7Afj53c/yH+fewcRwjd989f3Jvt2LZZ4F7p04z7OXTOD14SbFb5ep7UUTEE9rDVm+IKhVygy2ow25PLJit8MEsGY9XobVyVSrZqTeKPDEwj5AWxRxL8nHzj7MYlvP2R8f/H3e9/Vf4acP/QKWKTx6YNNpZpqDhCMefWcMR6h08MuKbj5HvuRxakHHg7yOQ6miTQbHjCtw0yxOkE+R0cOcSL74m4o6rlP3XR4ZPsKX52/n9dlxfmrf9wH4Tvsmfvm+b/DlS7eRM3GTlYsDiEgwXaxyDnBN+bs3bEMhRNZsjsxoDT0ByXxFuTc2usO8bguX3RCrI5PCv/7+FjMnxxnfsUSnrQO6t+6/yKFXdmC107J8ezaP1RGocy7S0+lhADHrwrCPtWqRM/GGRq284RhEx6J4WdLY4yOret2qfh8rH7J0ahhrtEMU6Puwlv/2r/p/t8rC3dTo+f/ixQFGp6ss1ntNVnf+yikKitYPDCLeufccO8tLCUkOwONzN/PPDn6T56o7AHjIYDl8/uLbuXfifM/x4rhGllaFCOoStxTbqjpy3x6yKOg2hR6l0RlKyXDtdtqH0jFcnE4zhePfyJx+eNdxfmJIW0KvdTZz39hpPnb2Yb6w/a955+sfAOBXTv0kAD++/VVm2kM9x1tLvYHX/KrEC3Ps2n6ZBYM6blVaLK70YQ0KYk84Hmd3QOCuKAKTUu0OSjDu0weGNH/hYtDHE8sHmC5WaY86fPW85kTZt/cinz72Nryukyzs3FCH/nKbl5ZSNwrAWbUo7KtTl0UKRT233X6XwnKkO13r0O03isPRDXpeRRDmjUuyksGg6A+4ZYtGE+5zOlx0u+wfnOOb06krUJqu02rkiToGoyIX4g9bWMUAf7ZAHOgNBwLc8zmsDrRPaRgzx4duQiykcAy5UWlTnZbXh1WziUb1PQwMNinlPZadENsOKeS0W7IYCsKibZDVM1QAP2y9Ido0ihIXQUUKy4+ZneLa3rT822r33qAMFMpXyBiWPlJJSbjIloFnXB3/lNb64VSX3JYm0WyJxbl+8gbRWfplqns1VYBXMcf0KwgVzpqfWhZRpEvHTdl4bOK99MpOXp/QabKHt2ql8OzcVv6vZ34UQsHbbz3B5w/fBcD773+Rc41hjs2P4e/Vx+dXJbU9EcUzDu3JEI7rQdT2BwhPUFwIe1CtRKSIQkVxIU07Oo0ggcRLgGsM0ZLdCnRvQty/ECmUUDzx2oGerMe7p19nsV3mna9/gL/a/xUA7njxJ/no3S8w0x7iNya+DsCnl+/DlpHu8j2gB5Aba9Ht2oyNrHH0pa0ow86uOhbCkxQWo8RqiNvAC0u6hDuO2BcWBXZXP8N/cUjXgATma3nrpsv8/PR3+aPL2nI79uoW5EiXX739G3yi8IAe6+QFvvvsfrbcMktQFKzt0/NQHG3SPjaAGgwYnNDZELFcNq3o2q1zV015uqNrEyxPJAo2dntFqHCWbQ6fMMooFNx7y0keP3QL9op+vQ65iglGAAAgAElEQVQt7EC2BU5L4BiEtea0pHzRQrytgQhcSqbO0JtQdLd3UYFgYFR/0KSMcJ/WikN6UZr+PdtHVIiw+nzypv+pcXSQtZxCjHfxLpRomw9HviWwmw3ygp4PnQiu3SW5EeC8ITfkhlyTXBeWxf/fok6Wye1u0K3n8WZLyfb+U7B8a5RQ3Ms3wTgdy62Tl3nilEbWfmTXMb42dyvl8QbPnt6e7PO1b7wFa3uDm8YXuPh17aKsPNBh8Jk8tV2K/LJFZ1J/OQZfsaju+1sUUrwJuXtshi+fvZU/Pvj7/Mqpn+SOF7X78dJd/40dX3wUe6TDh2Ye1fc5dZm5Zh/ecMjQSwZNfbyCLCnmmg5ipDfkbw11iV2qa5U9ozrj0pdr8yODr/Pp8/fzm6+8j5/aq2MWx4fG+Y/3/DGfmX87ndO6KOY7i3uhGDFerLMKDBzWS762t4waCBFdyaULOk40DXT7LN19KkSPmxa6gtBJu2G9Pk0D6KxB0BdhFfXz2TW5wHOntrNp8zKX0Of94B0v8+evHCTKW3hxF0AIXr8iONtPP1DbbepNFhz8wRB3zqZpAI+ChQJFV9eeuBnU+GjQp3A6j9fn0zFQefkdDcp5n+pChYGd1aQwrHWhQlB08PvsnrL9Hzo3pKeW34jVMYA0MZCpUokrUplRtEfTm5S+Lo22PD0JSqKPC83xYQqmGktc4ddpuXS2ePQ9W0EWob1dL2rLt6lukQy/SlJJZ3VBhCEysFDGFNaQ+Kq3ixUozVh0mhW+f3ovyhT9PP7d2yksSaIzA6h9HZzzejE89K5DPHH4AEfO7kDs1KcZfCbPyp0Bw8/bdEYyi3x3RPGShfQ9ZBa7IdLuWAzUkoxNiqQ1GdLOWz1xIo1xKr3dncmx1NRxiMfODFGarvO+r/8KAB+9+wUAdnzxUc78xCfZ/a2f465pXf328uwmOq0c/Udsag+atvf5PNIA9JRec+kOGL/bEwjfwfLDZFxZ2Pq4hV0/B4X09Pwe/v52cw+CZziAmuiwY2qJP3xZuyGF43l++dIvMH5wng+98zkANuVX+S9/+B6et3fQL6B5n+lRWXSpnLBpbMu0/vuKwnIAQlNDZIOc0lNYVuq25Vd8XZQVRZTPWngr+mU9f3Ir9k0Nlr43TnlN3/sTM3dT7oLdAsuktFuTguKsYvmuCBlYjGp9x8rNYNcsOtMemAKugW1V7MfK2E3D12vGUDqexy8pomqOOLXkfK+Cb4M1rPBPDyUuR18HnLqXZHWS+/qhS50K0duDgdbkGkDESvcRuu69vqVXG0aOTHozwCgL29LnjPtMgCyxZe2taQI/7/rUt9nkJpvEmfDQcbDb0JxMj+mMKZRl4fflEsWjbElkixSmzdToH/ighl97dXYqjVlUtsJO8AKbn91xCG7T5/388Tv54MFDPDe/jbVndIq0PQbuJYfqTYooH6Jy+nq5ZYvubS3WVguUL8eZDo1+FNmCbp9MFogMHDSLmqC+xUTrT4UgJKFrY3UNT6aZX2VJdj50ll/drHlRv7RyF780+i1++tAv9AQz7ZEOu7/1c5x86DP8uyXdC3PfvpPclJ/l0ZlHyb2uKyrbmwPdl1EMKL9jmTimv6lcY7lTorYyRb6aVnCKEDoDFu5qmAAqdysS2xG4tuSWO3UFZztwWGyW+Pmdz3Govhlnq37hz1cGCZaL1Dt5vvRXGrFsaP8S4d1rfGTHEZ56+q10TeDY3+TTuM0HAZvGdJbFq4zhrgSEBd16H9NZRrauX2mPWOSNAsiv+voDISX1fR6bDCjOcr3E5sEa3YEGs0s6zmBZEQHQaOSwavqcuW11qgNlKpN1InuA+lb9HHJ7a7RnKjiLDv6E/nBVZ/soDJq/10MsAzDs3dbEr+bBiXD7TYXvLoHT3+WmyQVOzI4RRabvpe4w+pJFd9BJAuJRXiSoW9ci14eygCtyv9LXwUQycHJxANRaV8QiAoWwVVJ+qyRph2G20zBurgHkgn55wnKEFwmstsBrpZF8GSj8sgaTSbZ1dZOUCFKeCBGqVNtn6ixeOLOVYrlLt+1wsaUzLM22MSsDi5n2EC/N60DizZOzOCLElhF+2Xy5qoLOsMbW9Pok0ozDr0SwmteQdEHGWjC1FpEjyNZUxJSPMQp3XHchw8hgYWaCv0pxZmk4KeGebfbxpfztWDLqCWZ+aOZR7pq+wL9b2sv/PHIcgE/Vpnh87VakL+gOmzLlkk9kW5QrHeYuDGGZ0ual1QqhZzEUpFilkS0QUr+YOqAYbzdfv1Cx0tHZhU5g0+rkmOkO8a6hw3x2VlsWrdUCWIof23qUP2vp/pZ3T7/OHz3/Nman+vGLgu6Q6acp+YRLecSQh23Sv74tULYwyl8keBaRLYgcXXcRN5JFjtQBv06ArNssrJqAeSi5a3iGLx27TZdzA0HZR7VtrIbEMaTG7aqL25AMFdusFAeT4rNO1yYqhkSuIG8yYLKiEFHZXDdtDvNrLqIQUupvJ1mP7lwRv5ZnpjCAX8sn9UZWU+NeiCjFw9D1SjcCnDfkhtyQv2O5fiwL2WsOaVzBzPbYDYFE4yf7SkCQslXLDBRe9ryZ36MYfsCJkE6E2tzp0ZxKQq4GrU2K/HLcaq20uS6BKEU/iv9l78CyI3J2wNbNq5QdbSLeNX2BV+anuGl8gYrTIe/oL+2hC9PccfMF3jN1hM89pdOtsVXRGdHmeTCqvxy5mRzWgTWUrKTwgwLNQiVSGD09NjRTmBBpu7vQsIIampD0c2GCF44dUjT8do9MHWPQbvLAJt1R+enl+wAdzHx5dhP37TvJp2pTAHy8/zJHC6f4k9F7KFw0Ac5cDlEOcKyQwYk1Rks6XmDJiNVOAU+OpeMyJNTps4yfn7kPCe+Y0K3GtaDAxdYAHxt8nv9w+cd4l0H7eu3sJkZG16j6BcJFHUN4an432IoPjLzMMX8f+SXjWoxHMNJFCIVr7rct4udpWrczMI/JuGLYjsw+asjDsvUnfGq4xnfnd7BjfInjtU0ATIzVmLs4hLJILBthKyJLcWFhkIpPUiVs2RG+pRBdiW3O2e04metmVpmlECsOXsFHmNJOa7hL3vVxrJDSWDNJM/udkhm/SPZNFs81yvWjLP6BSaW8MdlOq5FnLl9hW3mZiZKu8V2qljndGn1T5w8KAlav3G631YZQaXGR07XIzlIv+NBMc1Cf25jrc80+Oq0cN+VneXztVgCOFk6xL7euHyEjsaIAmCysYcuIS9lxd3Tgzc4rLEMgBL29IXFZdyvIsdCqcNIbZ75V4VxhJNlnrekyW+5PanFq7TTjYv0AXk+Nnq1xOqQXYnkx1KHA7kT4JalrPtDEQVcgwgOrrQIKKOfSi6213jjrowPzerxFt0tnLX/1fTcopMtK0LHJuxuz2cW4sHFQOXLeXHbv+lEW1rryaQXKsZj5gH6Jtnx6OYlZiAgcU4Dpl02Q0RHMfUD7eO7rBQZe3eAamZiFYwJVQWhTOJ6jsV1/5eOKzf5fmGFxdpS+Shvvea32Y3YzuxX0uHpWO7gC4KbxyjDeaEA0ITlySRfsFMZaOGcKLKzm+MqpFEnLnbf41tzNMNYlf6cuz3tw+hxPnd7Nz9z8PU42xrjY0HGPpZOT2FbEwOnelS+UZtYqtwOyvJlxDGU9U5jshiAyaNxKL1j/hUE+e0ajZzHaRcy5hCMe1lIuiRV5wyH9R2wenXk0SSf/yahuiDvzoU+y6/9l783jLbuu+s7v3me48xvum2tWjZJKkyVZAxos2Y6MDY7BIcEZwWmaDp8OiWk6HSBOGz6ZoMlA0xADoTEQaBw32AbT2JYHDZaRLcmax1LN9V69evN0pzPu/mPtc869ryRcdjr5lDu1P5/3efedd++5++yzz9prr/Vbv99DHwTg7v0nOFBd5uPHbmHDLbIOcxt7CXoe+17tswSp9MFftyA92+/ycsG7+dhTAkPPEKoffuEHKa1oPj0i3k1tWdGd8nj1RJ3mK/Kx3nyTIQ0fXvgbzKwlLN4v/fibR57hq0v7mX1mB8dTCSrvP9tFJSnepkJ3o1wDNfNy/FVdECf3yUc0nm6QlMUg9OqGypLi5PQIQxZaHiwM09gAry2CyXI9jvx9pkztQsL6ETk+7KTs3rXC8laN9gUJxupQM3RCJryKCxHl4ecbVJdSus06xj7JtQqkrk+6DukIOHYuVDbAXdqi3g4HwIkXETT/Be3yMBZpCmEkpL0AJsXfiNGdkPKyPRbFwiKVJIweS+g2i5XHbcfoSOPMyQ0rrxhUL4QwQmmNiTP0YkImYjn+gpy3NaPpzhh2fknRG9G5O3jszDQjYy3Sh5sko3biLgmJrhvGxYArhe6FRYrXflfzJUNn2iN9tYk7ZSP+rw1RW0hRqWLpJsWQBPfZfHub2lM1/JfK3PH3pFjrC5+/mf/h+x7kN/70AYaOrhA9bHk2rg0xT4/ira0PjuGbkRhtP54yyGSV/T9OUGnK6OtpzkfBiQq9CfJajwyZ2XzaYeNtXfyXK3kwM9t6HHzogxy//2MA/MzCDZztNolCl/YTk7n6t9dS+BG469tco36K/6zlwbiU5rMZNFz+1RtTBOOGyoK8p3EuobKk2TgEi/dYYt6uZteXDRiXqKr59Xukb788+04uPLYTxzEEm1brdHODnJovjAYzcdnvbOz6tGoac0nhuRnY3KdovlwIY8cLktZ3u2m+uncnPSqLESvXlzDL5Fie1Zkajpty/77XefCULdK7ZgWdyVokKcrOtdpCSjCkSEtg68wYOZFgtKI3ohh9vQi4uz2Ti2UNzIlvoajsSoDzSrvSrrRLapeHZ5GRquZ/a6nq8xziqrXYjiNSc0rngsJZS315fzQkFjeuuhjXQTmO/M4EWHQRJG3tsL/3pKTllNaMm0v8AdRHOxxoLvPM7qKwLG3EGMcZUKfOXuccj3YVas9o2rssUGaX7NfbTh2UiLyYfR3agezxk1jT3pkSVzR3D0kQ7892XUeUurCnyw/v/zq/9Pq7AagM9+juKvhK87ZNfaro9Lah1ibbzUlfs9oQR3g+O5Oazkzx+XAmwmhZef1Jyd92pxqYhRLd3TG6ZoODvngfd+8/wc8sSBzjX049z4moRWQ0X124Nh+H3loZFenBa+ijI1C6WBFzHAgi7gRFmXZvPCUZTjDKikZ3NFFDEY7FVE9Kn4OxlM6YpjttGDpj+OXZdwLwozsf4R9O78bdcpjau2q/y8u/V+mMR5NCldxRBT1C1glj6I1oonpBDxiOGLptTdyydS9lZQWYFY6tXO41NTpype7IQGgFjW7aPUvZiXh5bRq109LnLTeY0EXho7HeTbepSEpSyZp5Fr1REWAORiXYrWwg3u1BPcMz9XsT30LY4vIwFn17VPk7zbELOcLPFLM+P2ZbVtCje479PwXmoQ/70H+eTDZPJAA1UWMwANbr+ix366SNBM+W95pQ28K0Pvc9e72NPFZHcu5oLCYKLJdjI5EJMiSBqEz3I+25uKEiqhtOBrJ/LtVCzgcjDDU6nA2apHUxhGHg4dYj+qX45CR94/FmhiP7O39vgRfJH5LY5HGIYDSFUBPVDaU1TWCvQ9cMOhQQV2qNvKrLU3SgupyDt05ELQ54dQ5Ul/lKLWHEBn2XI5ckcAa1Uy+6TwWGJPs7rmfH5FBST1GhJqnbe5po4prgO3Ri+xqLVkZcFaTtek8AYwe8FVQtJkkUkzV5ECMzInKG2fbMDH6f6Z+nfXMrKRf0dFFdSH/jqmTTQF5n4k9xJUP+ithPplWSaedOlzepOwGd2GetKn0NXHcAK5TBtXUCJoGwDKkrx+KKwjjyv6Si8thatiXaPk+/lfZNjYVS6reA7wUWjTHX2WNN4D8B+4DTwF8zxqwpoeL+34H3AB3gh40xT3/TXmglnkMmxpJqopqDV3YZOpcJTjpAAloRDg+aw6TskJQV1QtyI8IhwHNFbNZzi+CpRYDm7wGiZoyuxITxYMTaf7HKuWsVh/fPcywVvgNvOMD47oDgbPY6l5yz3xU1IBqNGZncolYSq7BaqRI1hoiGDc2JTbYWJchZH2/TSgR083vH3gpAb6XCI+4BWmtVHkyupjYuq3qz1mFXfZ1lf89Af/sNhEn7H8JtY52mfRqchdFTWmMcTVwTzkwA1QzwSzFBySdMfCbHJfh6oW0Fe6sx9YyXwpHr//ixW4hCmVaR0RyoLvORiZf5ePMWbhyX/MeLegZHGYzXx9PQ389+w5GxVscqDzBnAU5vpEeaFN5JXKkQ1VPGmi227IMWN8RjYyQiKXnMnRL38V+PPIBa8XF3dLirKanhh5zbQFtB4TQtvBrLGG76WeXTYlGOK0XaPqoZ4kYKRpOUs2PgtjMJRDmWVBRxScSsU1/h27LzL505jOuktFpl3nVEorTLQY0tVwL9CjCWvTcui1cRV42o9SHGInXBeKCiIr4Tl5Rcxxsysl9auxTP4reBXwF+t+/YTwFfMsb8vFLqp+zf/xh4N3DI/twOfNT+/v+89WdDvp3WuUpcC91yqB736Fwvq56eL4xG6ZUKi4061TNyh7vTGtgiahbs3t5aj7BZobQwyI+x6x1nWWxJ5+ZOygTduX8Z7uswVOrxyokdvPsdws/w8Kdvpn7rOtdPzvPCpyTiX7ptC/P1Ee5534s89sS1/JMHPg3Av/m997PrPeusXlulfl4MqdsTuHdccQlGnLxv5bWYTKt08yp5eIZPdiEV3VAdJrnKV6brkd61wS191HfPn99BqRZy8KrzvPL0XgDUeEjtxTL1+1e4cE68iAxHseEmtJ8Q7+irC9fylVrCx5u38Mpd/5FfWBFR4Q9d/SU+376WP7j63ZQ2LKKyLbKOwYhLaS3O6zLChsbtGipzbe64WbZorbjEieUxSl7M+pkRjFWp7tzZJlkrsXJsjNG5LD2oWbslolyJAI/GcZnyDztX8757n+K51Z08virFe509NUqrEXHVobSqCcZkLqSuwu0m9MY8vC1Ld7gutTkqjGkdiFFlG3Qc7hLNNdh7+yzHR2WRKY93WZ8uo9sOadV6QR1NZ0q8gLCm2Twq83GqErB0bBynq/hsKDwdhJrd++1820rwV2Subh5KqFxw0KEYRYD2oZjKSI/wXB3GAxxP+hXMVhl7oUEwVsa10p2Jr0ln/2ISp/72TY2FMeZRpdS+bYffB9xnX/8O8DBiLN4H/K4RfYGvKaVGlFIzxpj5S+7RJbZv10hsb2k9oXVVCi0PXY+IG9lkcAnGUkpAZ6/cSG+42Kdk+Pztr7N27PgMhw/KZdf2F/j08wsjLJZirjlwni+eEIryaHdMHXhhcYbODsvp0fUIZ2xqbu9G/vnu7pgHxl7i/PmCVCdrru1Hf1Vhpulamw8vej9wkZBx93QjZ+G+dvICByeXOb44zmK7nvNRAAQjhjrkEO5+HEWe9djVZqTe5cbxOX5h5RD/eExqZD7dnuRkd4LqQoEHcCxnRWld0nmZp1TqwzLMd8Qd7MUybcdqHTabVSpVuS/dE0NQTTFjIWFDHvSklFKa88Heu96EnHdq1xqPzknV3o/tfRiA39jYiQ5iXA0qjPG2pH9GiwdWWTSimQroMM5Tp7qnoWNh3H6CKaWcXR6lPC/9DGoepQsebgfiasbEZSgvKzrTwt2SbXXZCWYkIvZchpo2xhN4lJfs9iVKci/W27g4P6ECh+5qBQ2YNZ/I1hTVljROO6RE4W269G3zLqF9u9mQqT4DcAGYsq93Av0k/LP22JV2pV1p3+HtPzvAaYwxSn0r8qrSlFI/CvwoQNkbkj1h/4oYCkIuV09KiwCPE4g+BkBcFWVqFTs5S7JykAKy1Njf/aXcdo/ey/g0NSpGAFQdN1ejzgKU7a6PtybDFJdSSEMJglk3WXVSeb0tmNrcscGpJXHRk1hcvWotoDbUo1YKObk0xtUzwp796umrmD4kaM7ZTcm+hBMGd1Ox3KuzuVrjRE9ce2/d4VQwQWfSpT4vK5+Ks0CbQ9goqk5L6zGp7+D0YroTspVqnI5RSYpKtK1ULZS0VGpQ0z0mGrKlWurW6cUuYc/DaXQwvcJldULFzvoGy7aAytEpM5VN5jb25mxQvbUyy5HLi3qGD139JT7dlmv4vloLT73Ak2O35NuQ1NMoY4gaji2IszDlmtD/KWNyBKmjDEHPx1EpSeAQ2GxNOhGiV31Sz8kDjsaBYCJmut4hdWu4tm/L63Vu23uG2Gge3RC+kajuoqOU1LWZuJoNTDsKt5fQa3r4dhviJakwjfViTDPEdC1toTIkjmG43mV5TLJd2jGEY8KHmtSs5+gZVCLbkrisiYblvM1Kh4VwFB0peoFcVxxKtSgILaIOLDViRdC6SdnkeiGm6+DUYokdOwbly/eFow5p1SccLRXbEE//V+GzWMi2F0qpGWDRHp8D+skOd9ljFzVjzG8AvwEwXJkx26P7KkEo4OKLH3QdFdkMHUlVoolNfswkWJq7lAF19b6MimONhbZCKyoYdLJ0hBgfbSDDsvScPPPSrxQ+UB1rr6PdLRH3LIlqZNNl2hC3PdKmIgpcVrt2MoWw3q3krwGq9YA4qnBmdRRCzTdW9+T/10jFaT8lHpYRu18lO69GTSXyLsfSgvE7MZKmlBsiBqfnDkCko8Sh1uixtDqECi0QrhmgIo+VXo3EQqLXehVcnRL0PGwBJCrSJIGDowyfb1/Lya4E6Tz1At9T7fEvkiLToFLb17jIbuXHEwFAza6KIU1iTa3WYyMoQ6hpTMgefu3UKGk9QYU6P69kdjRT1RZLyXiRSQkcTm6MMVzq5UTE2X3NxzPrg8KOYd8xe9+VMbDl5a59tFFC9zSrpXrO5aGUQYV2ntmq07ie4rZFklAl5NHSuY1hdDVGbbjsGRfQ2qkL48U97ctm6FiqpYPxBNUq0scxEgQ2qQFr4FVEEdzO0+XwLRSdXpp8oY1Z/GlfNuQXgZW+AGfTGPO/KKW+B/j7SDbkduCXjTG3fbPzD+kxc4f7ALxFgnvOypZIDVq5QoC1H7hpQM5QtyQKn8kTmnIJViwiUGmO/+RBho8V8oaASBxuM6SllQCVGHoTg9mQ2ssLGM8FrXPkm/E9zn/3FOodq6yvyARzFz10AqMvG/x2oU+6tUtkDzNpQWBAXrAxm+R4kdFjYS4vOPXQgvR1vIG72SMeqeBs9YjsKuWf3ySabPDARx/ld44JZ0Mmkdgvjwjw4NPXU553cTvk8oidT0/hb4lMoBOYHDdQXk8FMn8H1M/JhC6tFpT8waiistRnbCNDZ0IXK7i1tc1Xe7jrMt7Gk/So8TTrV9fzGEVvzEUlIsZ81/PvB2BxdYgk1tx24DRff20/xDKOD9z0Ik9e2EP8yBjeVvbAkKuW9eujtHZqhk8l6MTgWG7PYMRh7WpN9bxh6EyEt2njEI5i+aYqTtfQmLMr9U8sM/vqFP5Mm/JXGmxcL+8dmmyxeaHBh9/2J/z8n3w/ICzr/qbJeUQyMqbSqsFvGTqTOp9rleWUzqQWGUQb2lGpwWjpf20xztX03J7BXxPvNam4+Xsn/8UpAB5//hCjzzt2zBXVpZTEJ+elcCJDb1QPnB8kCxMOK/x7llk9Lzwb5WaPcz/1UTqvz1+Se3EpqdM/QIKZ40qpWeAjwM8Dn1BK/XfAGeCv2bf/GWIojiOp0w9eSif+SzWROBR5Q4DumEtlJaYz4VJd+vbEgzYPpAxTiBJtjJVZX6kTn/JQqSaqybi/mQhQv45nuU9k51IEgPrb5y4c5YcOCxsUh+GPzr6FHz/wEP/HifvzFOXhQ+d5vTxF0HJ5n2US/1RzGh1l6T6VY1ba05qkrBh7zrB9uRG6fj0gwqMjQ2m9n0PkL55v2XYje60SuOv59/PVGz4JwL9d3c9yVOcDo0/wI+t/m0ZJFoUj1QWO7F/gVzfexvRnbIFVBmHuDko1jr4eW4+rqHnwN6H5smxrtxdhDZ+IcMI03/L80J7H+T19O++ZeZGPPfcudu+Ve3z35AleHp3hXz717jzIF5fl3N0JzcSzPcpr2YMt20K3l+Zja7TC30wxDrlgUQYrzwh4/VVZkNI3kZh4aWmarXND+JNdNvdLzciuL0f4GyHG03k1auprSmsKZQQClHk8KjXM3ePhI0Yia2n30jcXl5IN+etv8q93vMF7DfA/XvK3X2lX2pX2HdMuDwRn1vrRcdsKXC5SKMtaysWoNJMOqpZl1jUxZKpSbjvpO2bssTgPag0Ag/p+6wg2To/gHRTpvCByIVKFmpbtn98uRICKfW72HoPbSRjgnMyuKwNJ2e/XvQjSvvSsMTi9mOOnJ/kjK7j8tpnjdEOPpbjB8lqDl7Tk91dbVUyk0bHi2fVd9ruyql1hTBqghbf98/oFiUwmAFSIFcub5X0ZcxSpCBpvr3jNOB/ddpKv7KknbvLi6hD/1mIc/qfmSX5pbR9fbl9NoxQwvy5p0icq+zjfGhaxnGxsciawQTCaSgQ7IOOZBW6zeymrblZJilG2urVIOT+xdRXvnXmBptsi9YsU7cubM9w4MsvzL+7Dbcv1RkOGZA1bLUvf/ZPVPFM1y+6vvOgDwRkwFkGbK5uRVQOrgWPKGFpbZdyWJqz4ZAW8Wf8Fik5+H5SW+0X22x7XiWJjqyroWWCk2b74efoL2uVlLJJtD6fVCQE7+OkbwJO3w29B3Ls+Ju6ByZUOBtCyzxVBwuK78//3va4e3KBzfJielT+MQpfGVAuVjljtC/tdSZ+RyOazKQxDFmQsjm8bi1xmMDOS/cbQQKzphhJAXY8qvHffiyxHDdJI07V9e/ve13lpeJrlVi2X/FMJpD4kJakdyNzXoCnR9fKKGdiF9BtANdAHe42ZX67pezCzMWTg4ei/Z8oYklizbAEzv7S2jw+NnuYjS0d5/45neKq+D4ClXp3373qGP9Y3EqXTg/fTbOurkeyASor7Jw9O37HsGhwKY2bPtxWV+R62UygAACAASURBVPzCtVTciGAy5m0zxwG4vnqOjaQGcXF/nY4i9Qy9cTPQjzwAmRkj+rpo+uaCfajzh72/5eUD2XshjbUYiUTlREiZsTSm4DBRRuXXmdcr2fEPmgnEWn6A9cXGG3KfvFm7vIzFf8WWeRBOtwAGJdVvPhzdV0dQewa5IVpzQ5QhJ0gB6I45VFbA6RMCAmzwSdTCMpWweiehZwlZG9u+Ly276DAmLdn+AmnJ5fCh87nAMsAnj9/I+w8+x22HTnHPqMQnfuvEnazOjeC0NPf9pWcB+EN24vQkZuF2TR6gdM+LAQlGFbENirm9vgDniKKyPDizeiNOzlpmtBDX+Nsq57MWjLiU7P+ihoOK4bYDx/nA6BMAfLl9NR9ZOsrPTbzEnc/9lVyL9heP/iGfWr2V06cnGR8uStSdQNKr/bKMUVUPekUIAjRsSDC32hu8F1HDIQ10fo8+tONB/unJ7+fesdd5bf4A57pC+nN99RyPrB6isXeDTU/uUO2sixNAZVER1V3CoaJvOhYvTBdOjPx2wAmKYjijwAmEHDgrMDOuwm1dTF5zcM8ix5lkYnKT9eetDGQjRSUeqafzAHNSktfbYxYYkd88uGtBski2XfC45HaZGAvBWOgBL2HwpuukWP3z9+Tv3b4NMQPbkCLtVKzs+Q3JVpbU4HYTyZj0fc5sM73O/hbJyTqtih3w0RB/ooNK6uJZ2PlYXisUw/rTXhUb4HQ7CZW+FbKyuu292QJojVnhPsvW5NgrOzk3XVTEvn3v63z23DWsXhjm64mgO++64Rh3H/gqr3Zn+O2nhdR2tGUIh6SfSUkRWZmUzo6UtJow/chgIFMZQ1zSlFcHGbhUKopdOduSAqeXWnU5e6gvLVtai/OgY+bZff21/fzI+t8GoFEKeP+OZ7jzub/C4zf+EQ93Zfb/s1Pfy90TJ5jetYq7Np73STpdpF6lT5LRUX0rbWkjQccWt9O3shtj8DcTCTDa9PwPf+ODhIHHry3djX/TBjc0JFD8J0s30Yl9WieHaczalHssmbaNozETz/aRIRmZq6lbkA730/NlfBa5sYhSSAw6tDgJp8ii9HvNx09OU5p3WZ8fJ9ktAUr/Sxq3HWEcnQeYnd6bG4uk7vD6s7vzlC4UEIRLaZeJsbBteyVlX1OZS/tmxuKN3p+ft3hYscYikx902lGu2p2U+jRM+42QKT4fRy5ppcB0JJEmdty+uIO8NykpVKrFYOQuauE6JiXJPoCk09Tgope7oqnv4IQCrgLQxpD6LqaUUrEFalutCutRhTB2IVEom3YcL7VYjetMels4pWSgD3FFqmxzas5ENFJVykBsQqVSsRiXVS4pKO83xDWnKErTSqjwthnt7Cf1dT75BVtgIFZ51mN+fYin6vsIIpeHu5r7rCX96chj0tskiFy8/J5nfRiMWUj8QbAEGYw9KTv5NmEA2m7It7XZ2MZxSrLlQQPi2NB0BZzWiX26sZePD1CkbN00j4kAhUr5wDYke6EGHl7ZJjBgxFJXC8iw3+ga5L4mCqVNzvepjC03t1sqOWatRHb+vF8GXCPn6H9cvoVtyBXymyvtSrvSLqldJp6FQmmF8W13tJbImTYo68LFJSF8MbYEXNnfxnEKopI+5uO4VpjMrIIx8ZUlylGF2pSrMXblG2iOlGzjOLkAknE0zJco72vRXRHgU2W4R3elQlJSeG0jRLqIZ6ETQ5LoQgPDU7SnBbFXPw9BwwrObMS0p+R17RXrsrpSTmxcjdEak2UdtEB0b7n6FAfqggN4ZP4gLyzOsGNok3cf/vNcpf2ppT3MnRtDtx2uuekMALOlq/C2jHg+BhwLmx8+Lp5VZ6pYNZ0euacRjGoqS8X4OpEhaOiCaV3L+8vLOqfCM669di1xg6woLKqJuvsDN73AkaqA0J6o7GOpV+cXj/4h/+zU9/LTkWymH7/xj/iZhRvYfK2JtuREbwbKSl1E1Dg1uLYPwYhLMCSygzo2hYqbVgRNDydIcXpy7N/d+gn+0bM/wE0zczz9xWv4rdp3ASLj+Ofz+2heu8xSQ+IYjWMu/oZh6AWfcEQTjPTHLBwSv8/FV0X/3F5flkZJ7EViFpmgkcozVfk9T+H6a87yUm2Gaj0gfVK2n71mQhnJANEXs0gd6YeQ39guGCjPOYzdcYF2IMHudqdE+ubcwBe1y8RYfOe05jUrtLqDIzyxax3z9fHcUAADk7i/lVeLLIjbK9z6bxWUNbs1khsLgA8eepzPXriOj71+J5GtRfnZGz7D75a/i/mtBvNbReg0KVtQlgPazbIhhrhiGHsDomO3Z2AtzZmtQeT8XE/l8ndGXfy5gXP0jYcTyFbhyQt7OLJfjMX51jDv3/UMn1q9lbsnTjDpCcHDzyzcwL+cep5P7r2R0hOCYu3fCgykTtvk8PAsNuBtJWA0TmguIqfNYhZZ3OWjs/fT6/jMd4YIR1LGqwK33F9ZYnOixFdePUT5vA00Z6JAkwbvuRhUFukVo5R6qlAozwOc6uKYhQVlFdumN34kTyyPwUqJ9oaPmpRz+E+nOJ0YHRY1HjpICzGhbanTpKSZm21CVCyM6lvAJl4mxsIGOEPbc6UgFY3SLHWaBd26extUT67n+qUqSQTzHieYPg1Pb+vi1Gl7pyauCDR39IVCakwZQ/lCUWINCDGqTmVLl2R4iZSV1WHKL1dwLYlvV1WI1huMWoxCe4d8786HBs8P4LUikQLejiExULcB10yH1Fltg1K4K21wNN6yPV+a4q122Hpskk/slVVuZHqLPzx3M6utKvqpIWKrKfoLpXdJHANoLUiKcsQyM1WWjATcMoanu7fY0WhT+b8Ha/8H97d9D2acUnZ1ke7O5l/KYD2PkdhEZa4YX0lXpqw8MsavbrxNPhZr/ljfyOnTk0zvWs2zIZuvNfnk3ht59e7/yHf/q7+5rW8XB7bR2s4H+0ApReq7qKQo7Zb+atz1LsQJxmaaXn5hDzpQnF2dobSumdsQWPSvLdxNmjiMPuHjWao8nYiu7ErT4J/fwCt7xfUbi2HpJxmyY5SPjUVwEic2IC99czyXjBjY8QrMj3pigrEFw8oNBU1j5WyA6oU2KJrRTw562P1j4wQTuKf8/J7DoNTCN2uXVBvyX7oNV3eY75r4QZJ5qV8wqaHzvlupnW4JczbA4gokCWm3x+yHbhn4/NRTAUlZ55RlRiuGX1hBdXqYahm1KYNrOt08ovfKvzqQf7583iM8MEh+M/6sIXUUq9fBsHCuEDUUOx5eJxyr5IEhb61HNFrOyW/Uhvw+/6sNJuvy+vVZqba89YBsBcZLbb544jAHp8QzOPHne5l56zx3T57gwV8SIZ+1a2D4dVh7W4/yKxXKd1ov4jNjrH1XyNSDHqU1SxzTR37TmnFz41ifj3Lym86MeEO188Ebk9+cXcU4mtavwp2TpwA4XL7Apxbews7qOn+5+Qz/6NkfkOMTS7zwjau4/pZTuaTg/dPHONUZ47GnrslZuLuTirhuiIZS7rj5WM5H4WopCqt+oU55vQhUqxSCYU15Lc0NbGfcobSR0jje4nP/z+8DsJy0+ePWAcbcFh89ex9TVfFClnt1fJ2w2quy8KRgMvSRFsO1LrdNnuGr/+HW3IvYOJyw95oLnF8dZnxY7lP3j6corxrisqK6LGUBIHUVbtcQNhSuzZqX10XUubQScO5/TnOF9/dMvsAfzL6VH9v7MD/7/HsB+ODVj/Mfj99Gp13OuTc6rRJp6OBWYqpfr7J1WO5lZbpF71wDp6uIpuw+JtRMfM0G5AND/bycY/EnerROD5PWY0YnpWr5YHOZ8VKbR84e4MjEYi5w9dixg+z9A0nX9wf/X3jwl2ivnLuk2pArAc4r7Uq70i6pXR7bkDfwbnQmPrxd1yA1b5BmRNy/tO9A2vez7fMAJH3blBjSyFrufrSnMgPpsiJ924+H6EdiFm5xELk5ajIrUW9Fsrq7KiWJHTp9qMpe7LIZly9CmwrMWUrFAfwUjO1Tf5EQfRiSfBxSk6fl+lPCOZS4Lz2XtV7s5lWrq54gP7eiMkvxUC6FN+R3UYmiG3s5JHojrtCJ/cHxMja9mShacSl/r6MEvZmPZ9/15hDubelmEI8CYNypMea2WE+qNPweI54s92Hq4uuYMHWwJFWUvZiaH9KOS1ZU2J43UYSJg+/H+VYt48hM/Qw2no0jJJ6SgKoNCCcZviQ1eG6Sr+BjTouGHzDmtCjbWv2m06bqR4ShS9lKVgau5afwY1IPkcZEhJXzuZwUAc7Eana7veKeVfyILc+gvDQXRm64ASNuh5IXU/eCfGwcLyV13QHRabloLrldHsbi/4et1/ah3rno+PGFcXY0xW1eaRdyf+utCqdrhUpZNJoADlhSlU5btkeZznt/cLS/CeryYuP7Zu/f3jbbZeZqEm0/WBWakgfGXuLBlaP5e945+jJ/zlGW2jU6PenRbGeExc52/GnRTiwX1xb0fGq1Hq5l2u5veVVm3/Vk7Y9bsnUcc1t8X63Fhxevkv4Mi9bpz77yXv7B4Yf4xPyt+We6XZ9VZbh34jjbmaMXVodIei5RXR70oW3796wvyhoLt2dwg4vHdmujwlJDYj0PbVzDqdUmXxo6SrsvEL7ZKRN2PVYzpvdYo7Zcuj2X4T7Gw2C9DMMxdD2qTZk/nYVazjwvUof2e7sl3C2NGo9ZWivGfs4fpt0tsdhtcK4lca2456JjibP0G4vvTLi3GWTKKjD2RTQ3a3pbBFfZFbR/NRosSrv4QVF9tSPd3RHYv6PRgmIpQzpmbOJRA3JGqb7z54G2Pg/JLcV5jcbePRJv6EQ+pVLMUKnH0d3zLLZlgi3MxNyzW+IZp6w2hr/i0J0QIE40ZEijIg5QG+0SlxoiowhFDYYt9upf2bN6jUw7NAMj5YG4/utIDSU/ZsiTp2YtqvHemRf49MJb2FVd54ad5wH4zTP3YKZ7fPDA1zhrJdw+MPp1Xg+n+PALP0hvzDJljack9RRvRESgx2oy+R2VshGUiftSn5lHkXp6AJmZpUeVMYxZkNR6UuXDi1fxzydf4OdUwnoiRjeMXX7rzF28dfwMrwxJ4dyRqWVm10e4tXaST6f35YpzaqqH5yX4fszVk5KROesfxF/L0sYpUU0MdWYoIlflHkW5LSXoykC1EdCNxVNoJz7XT86zGVfESwA+v3KUJNGYROdzvDrUo7feoDHRInVHcTfkuyZvXGB+cYRwLKFmvZB0ootK63lfshbHDtFIQs1LmBqSmMVmr0zgJByaWqId+YQZ+3msCq/42wRlXVbGYqBtR2xCgcTctg3JtgLZipoRrF4MA0/JKp8ylCMIHr+05BJMFFZIpYZwWFPp0wiWYqQsmt/X776HNTNM0XqZsBTTWqjj7RERm8VFia6/sLybg/svsLIuE2Dn7hVObowzvzSMLT2gtKoImobSskPqGZwFWcHDYUN8ocZYOx0ocMu2G14nvahwDUOOvsyh0La/27MdW5sVTpXkiTq12eSBHa/y8vwU3QmPD+76KgA/+9z3sn/HMs9u7eZdzRcA+MXz381Cp0FpRROMW5d6WFir0sRh/cwIm00rqhQ4EGqm+/go8urUbjqAzMzTo8bw0bP3AdDwxZj9nEr4yMTL/OT8zXLeRLO8VePmfWd4dI9A3u+fOMbHlu/g1+fuI66Tyy2SKMKFGs5Mh17i5d+VeGIQjKsKzyIh38JkHlo/yrW9UqVelqX/ucUdfOjwl/j3J+/D2G3EK0tTYjhihbNpKRqrESqBoxMXeN4bzbV311pV+Zxjiq2nV2jpupbYGCBNNOWxLr4bU/PEPTk1O8G6X2Xf1AqzS6Ok+VZGFVvmbzOn8d9sgNPtKNxOccP7DUXWSmsmX4m+1aY7mk67RH2qkAiYnNyAtotrVbzitkfc9pg7LWijmYkNSutQWofW3gR/XZGU7YNXTUmqKf66gsqli9l+q810XDbaFTbaFaaqLU51xvjr13yDpXaN3z1/J797/k7++pFvcOLcJPPdIX5v/k5+b/5O7hl9nVvHzhKOGMqLivKiwl0t1iJTTqlUAyrVAK8S0dz5JhVnf0Gbqm4yVd1kR2WDvzP951xVWuQn52/m38w8zb+ZeZqg6/GDh57mVDDB8vlhls8P87kL1xJ2fD685zPoAMpLOmfKTsspsaU3zCgOv52myzGbnTKbnTLDlR6/eeYempUOadcl7brcseMMSddF9TRpxZBWDFHgokPFE2f24gQQNlPCptAS1ke6qFCzd3SNvaNrdHtvXO0V91zCuRpD5YAza6OcWRvFLUeUKyHr3QrlSohfjvHLsTCQ/2e2/2aNxZV2pV1p31q7PLYhhsG4Qp984RuR7erI4NnYYVTFEvv2UbyJbNObb0Ugl6gvrWnKy1Ka3RtPBa4M6CShspJitKa2IJ/pjln5wqTY8kgFZXoRAY+e7hG3PYLZMmEmsF4xVPZu0dmocOrpXYxfIyXm4RfGudCQLcrMafvm1KF+PmGloameh01bdDZyPCH1S4SNlGqnr1LVSF9StygU0kkq26YkJapbXs0V2Sqp1KL8+jM5wC1HT+aByhdnd5DGiq90r+aaI7O8+vweAF5rTlF5rcSZxiidNQlSvnhKFB9qy4rGOYv/6GiRFKxU6NzZFl0PIJ0IWTs1Sm2nZvR1q3Vitx5RNZOItMPgCjITY1juybYtTF1+9pX3EsYuSaL51Es3AXDynb/FwYc+SBI4lM/LanyaSX7u3k/xt772I9QSqM9m25sKzv0rdHo+yy+LZ9d0lZAh221Hhoo0jozt+g0w8Q2LlEykb6Qp77r6FW5rnATgwZWjvLoyyZGRRf7e/Q8D8K9Pvovfu/83eD2c5lhX8B/DbpeN6yuc7TZ5/hvX4u6WTE90voZ6usJwACfPSwDXT2D9EIQjKTseLVCZH77zT/m1E/cyuzTKrgnhnx2tdnnb1Ou04hJ1N+BEW0iSrz5ygT/72n1s7tP4FtuS+or4W3CoLg9joSgkBgGUlpvlalQGTVUaLBV8Ula5NBxIDULqa8HIZ+fL6kX6a0ZU4UhllPC9yQQVO3T2Rui2Q1wtUmNGQ3uHTHqQfapxNTpOSUtO/t3G65OFsxJ36mwFxiMaR1dYnZPswt79i5x7cRrVjEirKStnJFJdGoGk4zIyuUVYlwvr3tmi9LkaGEU0BNnTEzY0SdlQWYlzwRtjvzt1FV67ADSp2EglbaIprdpgmSu1KSoWWHBOBa9E3u7ppw+iJyQmsHtylTPzY/z43V/kN1/9LvS47Mt/5fb/ix+f+7vEK1WwKb/xiU0222W6Ux4V6+ZHDUVcg6iekqyVIFPjWvVJ6wnDp8gNfOJribl0BX6d8VRktR5ojW8pyn0d8w8OP8RvnbmL5a0aP3SjcJEefOiDHL//Y3zg1Nt5cv1wPhc+8uj3c/vRE7zyxNV5SX57Z0p6egQdKtJKZkAgqiqcyJA6RXwitYHNsecVnqUdiKqS0kZrPvvUDXxhWOQEDs0ssrFR5bXSJF988W8A8L6bnuVvP/rfQ9vF6Cygq3C3NHHFMBxAsGXT6oEivGML81qdHXdIQPnMq9NMP2ZTt91E7jfwL554D6WTZcZvX+TMWTF45eGAz/SuY225wej4Vh73+PNvHGHvWsyQcXOIPogG66W2y8NYwEUBzkwK4I00P7bX4CsrGZCxYxkHvpkUQC6M3NN0ZxJUoEXI2Opp6hg2Djg4YaF+FjUyT8IUMOc3kQLQIajAod0tMTIjqdKNblm+o+dQnW7ROyMreP2ty6TtMp2eT2+/5SV4pc7mfoMORSszu7aNQ0Ijr5JtKVKLgBT6/2K8tKX+132Q9QGGrm1SADpUJD037++uqTU+PXcjYeDxE2/5IgC/vXAXUzctsNUr8d17RY9zPaowXx/m1RN1NkSlkHBMVNbHmi1Wjo1hxiwpreegQm29R3sP+/AzyryxFECGFg1Th0/M38pbx89w874znApk9UwChw+cejsfv+rL3NsST+3Q8BIPPXUUV6XEFWjvlPPWDm7QPj4MO3rstaty9NA0OlEF/WFf9YHWgOrrYyLeBUY0OzJJhI2gzA9c9wxfOHcErHTCV+f3Y0ItPBJ2TTT1BLWq2XPzBVZmd1A+JwHs9JoWWhvig51cJ+XQtXO0H9mJ6aNlBDCBS3Cgx0i5y75rJIj+1Om9AAw123QDn8QGOFUk+ArhheHbapeHsUgNJo4HHma3HaPCCBXZFTGO7YOfMnQmzlmmwBLDGKfgD1DI55IEFcV5zYhJ0ryKdeiMHOttKLpTDkOnDHEZOjNyXrcb4W1qRhZSAsuCVNowEMWoQOWUhyqMcAJPvis1GGss6mcg3HDgZIOWlcwrrSvqGwZ1ymFr7xCNC9KX9ekq+kQFf6NIe9bmU1avVYweS+mNSEUrQGu3pnFK4/SSXGymvylTaJ3qMCbFRQVJft06TAa3S1ZkNxNlqp9VhOsycXsnxlifTPHXNS7w0cq99vgQ3/+Or/GpL93BJzuyBUiWyjhdRfMVWLxH+lU96aETl61qhdE5k0sKZsrhTi8qCHFSPUABlxVWubb4SsVpDuHOAFevDO3i0T0HWc6o7c97PLl+mHtbwzx6/acA+Ptzt1M76/B4fDUlBemkGKzguVGGzxs24wpzZ2UrtaMbYxQ5WU7Gzq0ShY4VqVcUgrmObIdVlFB5rZR7ukvnp/jjgzV4pYFFdrO5MkYlUDhdcrh4d0pTWVCcOT3BUAz1s/b+mjqphmhPwKmnJf07dGSVhmUtc4KixqU8WyWpurzW2Qme9Kt6wid1odVM8Vc1lvqCkq26dbbhcN4Ik/Nm7UqA80q70q60S2qXh2fxRkVyjpI4QBYDUCqXvO9MOG/wXlUwTed+I8Vve46sbe2xylBlSH1Dd0JwDdmybLTk2rvN4vPBiMQ/0qrfR/yqJaCqVM6DCLJdSCopTleRzFjhXt+nO2lXql0dNodkOaqWIzga0VquUj/u2e9SGA/aU5q4VgDDUhc6M4r6eR9/IytLjqXkWSt6TS/3TnRkt2COIhoWb0H3YhSQ+g4qKkSRZMwUmwdTVFP6m3Zcmjs2WJ0dwW/2uHlGZGy/snSEnaU1mtcu8+5dIqP8yMIhNrplevNNlKXEC8ZSdKyIG6LNkZSyGItsqyorDv5mdhNBaSW8FxtJzmQWjLiiHK4U+oikocteTLfrc2RqmfsnjvG50rWABDNRsvX4+3O3A/ArO7/OVQduYMfeFbbOTWM6MuXDMdn766vaubxkb6SE15VCMrcL4VDBMYGReIYl1RL8RyLj1ptMUZN2zBLF/XtO8Uh0iHDNwv2rCQQap61x23ZsZmIwHlO71tg6NZmLBPX2hqiWg/ZSEitEXfUjgox/NHGpWDby3o4Y/JTR8S2qFu59vjOB8QyV8Q7dchVltyG6I3G9uKLQfaUO30zvpb9dHsZCa5TvF4Q2qSEY9XA3/ML18aTM2DgO3UnF8CkLfqoqjFakjs7dRpTBlH1Umsrv0KpQxXFeddo6KMeqpzzqs7B+tXy2vGz3eIlh6LSQ0tTPy83pTLqYik9c8wq0aJQS132cttxYZatk97/1HMeOz6C3XJzTYhTiqmH6+gW6kcvWS2OMHpVsiPmzMTbu6qGrMWMvynk39nlMPx6zdsSlsmho7ZF+TTwTs3LUpT1VUNq5rsqrToOhoqbBa7tSdapVXkHpbXlvWHWK62AczT954NP8zlnh65xbHGF1uYFKFcP1Ll99XB5Kqin/5++8h+S2TX73699lPy99GdKw68vyujOm0QnEFc3aLZGomZNhWjRrV2uamWS7jbmEDVE5y4K0wZACo0l9l+Ga+PA1P2RVGWbXR/jY8h2EHTnvz937KT7y6Pfz0FNHqZ2VuXTVgRs49d7/wKGHf5ihlmH6EYuEHdd0724RBS7+aQkuhkOy8MQVcANNaDNIqQeksHJnxMRjVpJSC3Q6Lbs0D63yjw5/HoBfPPYuHnr1CDdcNct1RyVA+Z9evoUfve0r7PWX+cLadQC0Y5/aDSEvr03hdmDzOpmP3oJHdV7hBGWCURunemmazi1yUyef1JRscP3dtzzPZ1+4jrXFBp0hMVbeZJejM/PUvYD63pCnl2Qrs2dojdlvHGL9gKZkhftSX3hNLrVdHsbCQrL74d5uN5W9WZRBmk3+47WgM1Es40JYWvBqGgdKUSxcATZ2If9Iwb4szctND0cN3ZkiVtKWsWX4hKbX1HSmFYnlKogaMP6UEKbkBVBRInGAOMMny+/Xz+1ElVLU4RaVUhGRnTs3RrXZYfKmBdbacqe616Uc3iF1GPOHJEDV2peSVFzCYUNUU0TD0se1Iy6d/SGNMy5OmAVTpT/aSQcYuXUomREdp3lNg4oSMk0JHaVFHVmaooBfeO4BrpqQYNnBHUs0/B67qus8vbybPdfPAzBV3eLr7n5+YP9LzO+QeMFfHn8GgA8v/I08L92dNsTVFEYiypUIhmVCT9c7TFVbnPv9/fk1ZNICTmDkWOa4Bdh6hoTbJgUS345L3DtxnFtrJ/n1ufv48J7PAPC3vvYj3H70BK5KeTyW7MSOvSsceviHef2+3+aWR36MzX3WOz0c4MQO2k2p3iTX65xq4m9JoNxtJ8Qlu3CkAvcefcrLazP8VoKKJbC+sVXh51/9bkCKuyYnN/CdmN9/RpQ77zx8kl975l7Stpdjrd1GBLMVnH0tSpB7Y5Vr1gkPOfTO1zhgjc2pC+M0vygLjhOlOanO51+9BtVxOHztLOu2zmZ5rcG5zVEqXkQ38git1/Tk8we4ajliWHt5vU3iqe9APgt/0tx6xz9Ef/W5/Jhz7WFW3zLK2ENnAUg3t8SgBAHpbUVRU1J2WbitROLDvj8RVKBRCmd1E9MLUOUSpmO1N3vFyPTuuro4R6kPyWldz5HX2wSjJbxOEURMXU3p7Bqm4ucUgHqzSzpUwVkVF9lsSb580jzz1wAAIABJREFU8237i/N7g67e9uKdxFMkJXkwqovWC9KKpKzx2olsifq2OKmnKC+HgwFOY0hLrqR07fndjQBTclBBgrGrke7FRYZJCVUhgHNhDZRi+f5+XWtI+sCDcbXvOhT4m4bIHnMiUbcvryW5bqcTCvalf3xlHCUy72/2CQ/5bxzgTKouTpDgLbZYuHc8v355AXEdtA0kCj7CsoDZt7g9csKab3zko9z20z+W900ZCIZVnj6srIrmqBMZtP3J7kXqKZualn7FFfFkK3Mtlm8ZyekFU3svvZbJt9fZvRNjmI2lpC3jCvzkT3yCf/9P/2ox3srOGfv5uKIYPh2RlDSltQinLXNk5cY6TiAVqdl3aIn1iyGICmi3SmHkRI+w4Q0ENZ957JfZWp+9pL3I5eFZKI1/4gL9sf14pELz6VVW3yZAoJHPvJT/Lxz2CfqyITsfbpF6Dme+R/AMjbOG8Uc3i5NtkxWAYj8aDCs6k4rmawm9YU04IuO2fHMV0wwZebycxwt0DLvOAinobiEl0P86a4mnRBwXoV4DqFwQIVuVwsp1irrYQVbvCWg8W5Zsyk9K0dmFx3dwwzte47lHDhPv6VF/WlaO1p6U0rJmz+e2MXuloLsxujuYIdFWQkD1SQkU42IuOq5SQ7fPa+uNC3wbYPMaee/ICy7tu9sEr9VEuAYoLct4Lt6f8Ov3fAyAX559J+u9CnOnxmkcd+nZrJDbkvTkzocL4+304gFjkfe/j3Wr30iACCMFY2kO367PGqKapEezrIfpuEw/otncp7ntp3+MJ/7VRwH4wKm38/QjRzAa4km5f4d/I6S8aCQjEsTCgwp53Ms4qmDgSowFjxmcwOR4Fadn6EyDvwWuzWAlJYUTGtyuyT2TjuNQWU1YOeryq//rX6Vr50r09g0cnfLT13yOn/m8SAjvOrJI+Z8IQETFaZ4NcQIIG4qoURiLxlmJQ8UVcFoUC0dg8C5s4W74g9mw8OJn483alWzIlXalXWmX1C4TzwJBcGYIS5OS+sJsHVuYc382pD0z2O3UIjjjurXkZSRomiE4M0bwvmxIe9pGpZuQlAyr1wxmWNKhmMZwl/WjHv6q1ZWopXI+V+eFeypNxZW3ABxl0XWdKU1nxhCPR2hfVoKNcRde8ggbEOwO0IEE1kyk6UzLinTTsJS5Lh6tEyYu9RtWODC6wpO9YlsTT3cxX9qmtt2fOx9wHrbtefoAT0apApSlNWjxhrpTcixuxqhSQjjm4q05VCfEm9k4UoelMtHOKC+KS6dkhfqbR57hl2ffCcCP7nyEA94K/3rkAR52rmZql0TWltfrJIGD+Uqf92v6AEt95De5sInWbBzOeFftnJjqQaLoWdZvt1uhvTOldnCD4DlBx4ZjCd1xTedwwNBpjw+cejsAH7/qy1y3MEN7o8x7rxeW4ledoyIqpZBy8n5W96wvmfejFMY6Za1dhSJYXDNEwymbrqY2l9EKGMrLGrdr8u1KVFPoyCFqyPnau+T3jx95jKoO+FrrQB6zaIV+kbVwFKQ2c9JUpL6QLadeBjLSGFeyZuFwn+jVCgw7FrGb9mVDviPJb4wZ3C4YtrFfFU3k/+yErhQCtzlTcX95+xuxbQGhxOVwWwKg2txvgVNrMnreokdvcQRVMdTm5H+9saxa0c3P6XRDEQKy9QvZw7l5TYTuOugtl9KSROu7O2M23hLglBJKr1cJj8pmefTRCms3JVTGOzz22RsBKL9llVce3c9973qWB5+7jokdEo+JPzPOxt0x7Z0+lUVxtbPUaVJy6E2W8getshjINimI6ewSN7Z6Vh741M+yIfkTCijK71gi6kgwzQWCxSpUEirXbNF9VbZ5ZiShccyldWNEsmwJXiwU/KtL+7nwmNSJ/MPp3ahajFrxed+9T/HonJDX3Lb3DCc3xli+aZLhE5ao2EgfooaDv5nk4xs0PfzNBHe9y95rhKM1TBwWVofwvIRwoUZalkni3L9CenqE9vFhhs9bg+hI1sOJBbT39CNHALhuYYYX7/h93n/8L/HwrJSzD82U8NdjkrKDv64IRy2q0lU4QcrWbpf6eXn6vK0YFae4rZDO0R6lilxH2YuJTw+z97ZZTswJslQ7htYBSNouumpBhm2X9lUaow1xxeHg7RK8/er6AZ48uZe07eWcKypSJNfK6+pCTHlR5s3mDSH+vEfqGUxT5kJ3VDE5ucHC3Ci1sU7Obra6WmH0WJ32jI+/aTOJNU1yetui8xe0y8NYGFNkLOzfOhD05ejLNnCYCPLQpAavY/LAmDI6l34beykLSAFJKojNJC2Kx/pWWc9Wjjs9Q+qDZ2tFUhvQG30ZWrslsJjtlY2LIDX7KeWTBBUJuzjGSD8Bd93Ng1lZ0Zq36ZAEkgY0riFdkwctaCrQhu5qhboNRXSeH8U48OA3rqc877JSFsx5aUxRqYY4gYe2e1cV2ayHEpr9nDouSoTnIk77uBkSgYQrBXFa1M0YgayvrNZJu33TwjHoDZctXcVYYiAVaFr7ElCg7CRV1p2ZfWYHjq0XcbcckkTh7ujw3OrO/JSx0QyXeqx0zWA2xBjSQOdZHJDr0WEKccL5VbHwvh+T9Fx8P8aZ6WAs+1Sn5wukekePTZsT1Fe1pRzcTQmGi0Bxe6PM+4//JT558At877F3A7AVNPok2lSB4OyTvyzS8/Ie4hS/HBHaPvhejDPVZb1bwVgtkMTJMlGa1MLCVSVBrTpUdrcIh4Z55fQMAFNTG6QtDxyDP2VTxZUAnhOmMadPbpFQE86I5zo1JjG6hcVhWr0SuhIT9DxcL5sj2X3m226Xh7HQGkp+X6FXSjTkoXsl4oZY95Inq7lyYrpjikJjHipLHknJKQBUGkzJky1CyUNFNgAZF8G/znQxamnJ4HQgqRqcThaoUnRnEkw1oYVYkHgogZJPUvMKQeWSL9/ne+Lie0X6ID0sT365LO+N2mVYKmG0YfQtSyycEbKM6Po2dORzrcN2pe1qTD1hYmqDpfIQd+4/DcCTzl5un55jvnOAuCqfcbIiNkRDNZsQSdXD6cWYiodrA5+m5FlRJQftqCLY5TqgNfp8Gb1bJumuiTUafsBLZ2eoVENGp+X43DmZuDsn1/P6hbIr/T6eThJsSr+m9q4yWWtxV/MEj6/u58f2PgzAoxtXs9St05iLhRkLpH+pCEmrOM0lBZ2eFJaZkpuzcIexUOFdPblAL/FyLorll8dJK4a9E2s5hDuJHfzTJao3reJ2Knkw873XP8/Dswf53mPv5k8PfxaAtwc/gtOJIXVk3PKqUwFlDZ2J8oCg0xPPwpRdovO13EC3gOZIm42tCuVZC7Db38M/U8LtKOJqgd0orSraoyVqmwbPkhvdeHSO55VhbavKbZY9bTWo0Tsji4WOCgPvLzkkFU1S12yULWBiy6PdcyBVmEgR2+1J9byDt7ZFoy/tX1qlMNaX0K4EOK+0K+1Ku6R2WeAshnTT3K4fQF8n5Yp6rYXpdHKdEID2e24a0BFRGXYi0wUp+Zi1DTmhVpz9kQJHMfWU7AeCUZfSWkxvzKO8YhFzqz2UMYTNQShb+dgF8FyMo3NUJr7Hyb+zg96OCF2xe8+ui7vuMv6sweukOcYAoLSW5JoewICuR30+ojcqjl1trsfmVfL9449JUCsZa6C3eiTDFZxWQDwqq6e7sEE8McTSTwW5LgmINkm/LgnAF08cJjlfxe0qbrnvVQBe+sQ1VJdSeiPa4iCKax5gkMaS5WZIymFNZWWQUyRs6D6IvdW0ONvF3bT3xhWPxzgOnT01/A35sqjuCvfGh5b5oT2PA/DE1lVsRWU+tONBfvgbH8z32v/u1k/w0dn7efmFPYy8XEgEOj1BIA7KFwpfp05MXuLeGxEuVacHtcWY0orMBeNoOjMlAYHZLe2Xf/s3+b7X38V7J5/jf/uj7+fudwpl4HvHnuWTyzdzbG2SZUuM679aobIoymP1uSSHY2MEc5L4qo9fpaiG7icBNlpSmiJfaPL3uB0BfMVVu2VJDEP/dJYXZ3dww+5Znv+6xFgmni6U7LP7kPjqTVXUF+6Ed931LMuBxK+WunW+9nc/TnDmOwlnkW0D+9Wa+mTXIJN5S/tKwTNfe1sZuv1fFi8AinLnRF7r2OBaYEuWK9dJiu7GpJVCBSojse0n/9UBVM56dC12SQVaytETCbDm0ee1GKebFOey11ddSlDG4LZjKn1l2JXlbTgIS/yjOxEkaQEnTw1OJ6T9yijHxsU1bU5tYroui50G516cxjTtFqnt4oYKHSqePCPI0HokffRbokjWz2eqYyhtpINM4Eb0MysrRWl7MORQWYkpr8a5HqdRSu5Rkg6Ml2idGkqrUQ4iy2pWjr86xf/L3psHWXLc952fzDpevavvY2YwFwYzOAbAEJRIECBpUBRlQ0sdFC3qoiTb8q7tpWwrdsP2KqyVbDlsyY5dWbuxa92WJVmkZR22JFJBkCJpHiBF8BCIgxgccx/d03f363fWlbl//LKqXg9AYmB7I0YRkxET0139XlVWVlbm7/j+vt/3a6nh+I79z/LR1ZP81Pl3k8SBqJkD/+ip9zAahOhYEW3JeYu4Urht9wDeNAIS07kqo/zBUDAQYVcW8miteIEt4Y7A/z0HvPuuM4/yRyc+ym/uLpA1LF9YljE705nnHfte5PFn76J+RS4+vC0j6PllFWexaJlAxtQf2gqM5d5Yg0IX420tyqqyNL+UtOznolxmxsv04bml/ZidkK90bycoSuddIF/0Vd1pPblOgdJVY9gVlWqeuHaEodM6PTizs0cS49XazbFYFP1VVXAJrUpoNriCF6WqzzD2netEkYFKsLf4rrtOgYYs/P3QgZKsUuSN67gOX0EGznoyUXC+oDVWAphK/lai7hoaq5XzxYv0nyJtaqdt6ZXwdG+Ul75sec1io6oHqDwv+6Z6ClMPyPbH3LY4xmPpGxpBgndgUEoNXFmbxgwitGeZnRIrJNYNrBaGMS/Zm22yWrJLdrz4ruC3rSmCQbFwS3oxr1eWhVWyWwe7e5+RVQqrFFnDo8A4GafFGe7v8879Ugwz4/eo+ymPzJ7hl9ffCo64+IH9S1wbTHB5a3+ZRjdhefq9i0Uuu7rKq5cniwSgpFNFMDRVqlBV5QEY+f87Fp7mN3cX+BsTa/xMophvy5i9Zf48r29c5I8WT7Hbl4yQv+uhU2c1KKoUv5G6kTx0CEoqwJTVVapSIQuaVQqlbHk8r2mxSJStgq3WcmxxgzPpAo1WTNKZKO8BN77lNRTlPC//B6GB8CwLrR7dUALrh5vbrykQcXMsFhawpnItkgSbpCV/BUC4k6IGMSp2LoELWqqRwiapy3u7aL1SzLxQcV4EXfcdJT9bDeFG331fzuOHPipOsTVXKJRJdSZa7zmv9WD/pzW5C8ClDRguKuprCSbUZYYi7KQv45tQuaGRSt2D340xBWR8lFF3BWxFLYweZag0Q+8OUWkmupyAilO8zpCZz8yxO7WvPLc/b7l89iitjqVrxMz0joA9OiQH4g+LhGL7SkZW1zTX5MUp3KbhvOTs55/K9goIWwfF7rIHn+H3JasyblnoJBc0qyvcU1q7nc9Q29Iop2VrAw+sJXp8kt94+lFAFoB4IePFa3cQPtAhcyb8kx+/h2TKUNvRNDbkvAUjmjcyldI4krUqFMSLwJ0/lKIwv59jfVU+E5trIT9WStCjwP/xn95N1rD8TKI489d+iXs/L9qqHzjzMB/wH6J1NmBmvUrZx9MwumvE9Ps19azqg84EJ1JQhVSwb4VOip3eypilQmTkOdazAua+R9vDWC599jDNLvijiNFDMheCxwPhNfEqCkCdSmFlcf5KsgIeefMLPPHh+8uF9An24cUf50bbzbFYuGadEKzSuhR4tS5Dktc9gsAvyWUKIVkb+AKE8nQJiALoHqyyJbmri8gjXe7omSsPD5y5bwINQSUK42ktGQKlpD9ykGTSsHNCE0+7qHiiyENDMuWXytUAw6hGuOM5Yh75ugk9BguhaE1YSzwlC1P9mmE4L9tleNEBgXy5J9OoofsW05S+eYMRphGy9TqDrbsXopkS1lIssL3eJJyWRXeyOaIZykK59S1OY/NPptAZjKYUXlJZYFkD8sgymPfxR1VtR+GmiAZpATMW0Fza9CoLTim8RO5X+W7s3WJhfU08GxF0Hat5U2IWnftTDh0RePso83nb/rNcGU5zqr3EjNMI+XfNNzPX6LPUmWRwUXZ1IYGxpE1vjyiR9RT+yKCyKsWZTHgkLU1WU9Q3Kwi39TTJdIhOK6j2W7/lWb6wfIT5do97P/+DPPewaKt+oDvLU/3D/IF9A8mk3HBtC2odGG2HmCAnaVfxFKvZE7MoLC3jjb1wtqj90ChdsZvlNQ9vkIm1UVQEG0t2YkC2HGHmUqYmBu6zU/hDhQkqUFhe0y5moVzMokqZfnVjP/nJHnFSvfbmNawAt7Iht9qtdqvdULt5LAvldnKooN96bxHRHgLfcXKbMm5RrX15NOY3u90kDzW+rzGOeLf8mx1bxYs2ft6xa5lmzsi32ILIxdfYmiEPPLerjF9XlWS64IhfQwk6GX/M3/d15XsXkfMCru6JqWxcfz0tMGR/YUi7WRVitWtiQWxqy+0zW+Xx55f2kfUDjh8T9ONGOC08DKECqmyINwJlFCawpTCNMtWQmkBVhVzFM/Gp7kHL98vYErLTq9yNm6/KsTGeQimYWOjx1oVzAJze3c/9jSvc37jCB9cfYJCJpfXgwmWO1df55dW3UkJYHLI3D9SeAK31XEWrqiDhxlcSdCz6pivLwjgekMKy+I7ZpzjTmect8+fF9egKnuQH25vkVvHY/EkGmQSV/Z6HNxQdEuObchyUQ8KaMfeocEOMpzBjAU5UEYCs3AjjKTyH6ygIcZRSHJjd4srIZ3qmx/aaBHQiX65jvWreWc+Nr7NyxwOcmxttjty2QS+uLOhrNw7gvIkWC9gTRQf2wrTHIdyv9NlxuLjSeyZRyXZdyA5aGJcfxABjgT653nhmZuznXBHsapKZIsMhjFqFKHHhc/hDl9GxlYm5RzHMViphWGG1fsXxKPo+nmGwkC832FmQJ91oxoyconN/uc3zQ3nRji5uyoufK5Z3JChWK2QDTPUPXHm3lX6P64vuUQYrKDsi8b39oS0zE1a/gp5q8au1+MOK+7NIJ++utDk9LcjF101dpZM3+fTWCQZZWMoB/tm1o+zO1zC5V2YcCtUwf2T3LGAql+yI1qCzyvwWJTH7ssWuSJkWbuJ/3vgG3rHvRV7fuMgH/Id4qi8Vz7lV/LWJDX56NyLclMUma1n8gdor5kzxM079qxqbcizHPmf12Fwssn6ZLed6NW8sG90mquexTbvMYBSyndZW91Co0CkLexTnLNhcsdFrEju06b7p7msi7705Foviubo6BeWKmqRW2OWPI431vMofLuITDnm4x7LQoocwecGQNhTKBY+Cbo7xNeFuVu7U1vNQ2pZIwrJ5Eq+wni4ZvNCauS97bDyU4e84eO+2Qucanef4gyra3jvg01qWnH8xEUygSyaroKcYLBTsVSlxW67RLjIJnuyC1sVjxouajK85/rqrvHRWXrTkYkSaK7KG5YBj4gK49KWDNNcEe9B5iywgrYEsWCbQe2ISzZUMEyjWX+/TcHUV0Y4tJ2HSVniJexaB7H7DOa9alJXUGoRbY5kpT8l6pzWj2YC6S1uOZgJ0bvnJt32Qn/2yQK2f+epRyBTtIx165ydLy2Dm5AaPv3CC6S+GJC5DkoeV9uj4Ir9zCmafEXBBsTCkDcXmwynTXw5orlY7OFrRPSSYl4lLEkt5aXuBx5+9iz9aPEXrbMAfWBFYfmz+JD+9G3H+r/w6J35b+DCiTelDY82ydbfPwBEotS9ogp5luKBIJuV+J85D57jQNwZdN8cLnMUAJs/njA7KM2usG2rbKVBZniqHnz71ITgFP/7x72PqOfnsxilLc1lLNsS9ySqDeBpsAMazZa1T2oJwWXPixDrPXZN504tD2hM3rgVwcywWLhuityWoNTi5j/oXzlTsWEDzYo+1hybY/9gS1vcqZqqCCSvPK8sih9nnMvxhjj/wuPAuATQd+8M+epSR14Mqeuwi9HsyACDn87Ss+kXdSq6pb+VMPROUkzTaMWQ1xer3DslXGhz7Qwkk1rd1VddQ1DnonGAo5DQ6MUQ7cl6djWEbygCuKetOyPKy/kXlBp3mXHr8MIUX4g0h6FviacW1FxbKgrr2ZeXqaCzBOQF93fF3nufzT59g+uAWg9RnsCVjc8cHcoyvmDjnlaxaXmzGUqcVeMmLZRev7ao9qVM/lr5V90B570E3L3VOwq5kUv7VB99dBs38vuzSu0Gb9tWKGnC9PU207BP0bJld8AeiZi7WRbVazP+56HqovOJpCD2Y/6wwXAX9vMLyGEtrOReSG/fZje029SsBu/0pZtZtGcwcZC3CTc2J334fZ35Y+DB+5PJf4lNP383Bj2hmT6e0rrpFwBrB8YzGQFlaMf8VWRy84jlaGTMvFpxGVOq6yOamclsuzlj4yf/0XryRQk8afJfCnn/KEHYcZL4IcIaa5mp1/nHLYjinefaJ4+X8GMYtets3rjJ0K8B5q91qt9oNtZvDsihaIdBTrMhjcQhljAgD5UbclGL3MlIWrsasELQqxYBULkI9QClWo3KDLnaksTJ2b5iS14PquLGynI7FUFQG9XVDMlGZiDqDbBTgxaoUHxLEYrGLVDGTaEsYobxBSq1EllY7S4VcdeJAcSr+63XMXIXOBAggSGcinDT5gnLBS0FpYmU8CzX49VELHWt2dppoz6IKHo48QyuhxfNGlZUlpe+aaCsvd/tkwqO2lVLbTkv3TXZJU41b8WUXEwp3ktKKC3LZOVtXamRObyOdkCK+5mUfnVUw7vZLPt4IdG4JutKBIhgc9c0eNXOdC25E5VWsXJCUlrCXk9U1YTHmShF0M1CUOIvwhRbD2zL8XY+srqi5OLHf88halmhT8SOX/xIAv3H4ce44cxydBWVMBCToq9zve2IVFMhKyrlQICzHhYOkT6qMrRXzo7bpnumOLhXFqriTxVLFMcB9/zqchcqd21xiQvgLGLMomjP3dZyLMNCYGpnKhIwWI+Z5ibfIXWTOmKoEPbeEHVkhPK0I+m4g09zRkhn5Hog7Y62Yz5kpQVU2NyjPgFWlSJHyxRSudXL8kZzTiwWbEF6qES9mJQ2ctZTnKoNaWqG1RLpV6s4Pct1xqDvVwkaWOy3Vwh+QY7Xdamxqu/ICNVavC4YCSUsBmsaafP7ilw+y/3WrLC3NYKzhxN1L8rnGPqwnIKESH+DOVbhsBVDIS8TEVpkpTVOrhHJOZXufG1amsc7GSquVLKrhri2lAPJtMIHA9NNWtQCEneKaFSdm0a7/3fjI4phXf1O5w4tkFm1l0wGwmXP1VEWVV1+zBD0fnYrfX3OlRt4Q/IHEKD71tNQc3XHmOOfe8Rs8+PH30bqWQlm9KdycylaYm3LRGAOLYUEUzuwedTmVGVlEMlO6bVgZKxCQWV6r7l/nkrIqAWCpy0xZ69yQarEwAdQ37N7g/3Xe99drN9diEckohOdWXpacGOfknPnc0t4/vhLH5hhP522fkljIpW+bwkuhcc0y8xXHh+4Gs+DRLHfwV2rWsnGfz/SZqk5isCCFSgcejzGh5uz3iQ944v3d6ntFxuE6jsySH9Na/E5cXkNuYKwfr5AFGuf4BOH5HOf4BOH5jBdyVD1j9tMytvs/n5M+tcBticVqj64ndObhP1jhynP7uOP3hntuWTluEagWi2AXWRC0hoLDcxwavydD5V6CpLpvNcpctmCM79MI32d9TdG5N6OQ0pp4NmS0YNmcsdz5W26MXoGrU46bEghW8FSiFCbyK+7KsYXU7yXgysxB0sPeSJCPo7tGjJzuR7QuMZTGmuXgR6S/Ogt48OPC6fnOv/x9mDGLVJCtupK4LNoYh2eROiVz3B1jIEOQRW38s8o2iLYMy2+D932zoC7/yw+9CTVMSgAjOCiAUtX5x+732lummHqxsmLkPq4fxK/dboqq08naon144rvIt8Ze4Afvx9/oli+N2d4BazGjmP6731AGtrJI0z7XxYReyYGAUoQX1rCjESqKsEN5Aeyoqi5b+RFhpPJiMZMLUt6izT8dE0/5jKY1jQ15kMNpj4VPX8NMNKpFpjvEtOvojsDHbU/+P/e/3ok3qlwVEIRkHskOGnYEDQow+ZJi5z75+eDH5Ly9/R6NNcP2nZ7ohhyRc8w9Y1h/QLP/cxm1TYlwlhDm0Ceejcq+1TZHMtHinPiA4AOipS5Yiw19VJqXeBO9tg1ac/qfHUDFY8n3XPRgs8mMYFMmcjZhaF3w6N6ToLtyrGBqaj8Z0V6SGx5NaXJXm9G7I0M7ZKidSaAbMPclzcSlYpGUhSlt+QS7WXkPyVRI0MsIlztc/FkJ0gZ+TrdTp9GO6W820JHc/6N3P89jXz6FqoukIMBowTBzYotOt87kxxol4rN3UDO4d0QYpcJHARz4tNvhlaS1i4yK4DFg626f2dNuETfiGkVLXT78sd/lu84IbH2U+2wNGxxo7fKW2bMAfPjafTyycJarw2kenZFK1gk9YtdE/Fn3BJ/43QcxbxIzZrDapHHVRyeU2RSdSdVsPGO57VMZ0YYTrv435zFW8aWVQxyfESSsVpbpcMgwD6h7KUNHz/7w1Dn+/b/8dkYzVTGbCeCl3/954stXXl4E9Qrt5rAsnMjQOPlNMl1DD1KUM+XUGPmN7KjVrlpfDTE1j6xeLBYQRKGYYlGIKkhvxti4eoeqRbK+JhM6nhPmbIBk0i9hu+kYYYmt18haYZUDzwx5qyY1JmPkN/aOPhmQrdcrgFA9x2tl2FQzijwWj4hT3F1bwJ+RCZA5EpO8plxRl6iRGyfik9Y1OlPE0x4PXSArAAAgAElEQVSeqx70XK2FqXnEU5UUgBfLGOggJ56UsQm3hd1ZaPU0xqWrdRiA1jx8z7lyXJ5b30eWa0aDkPsPX+PZl6TU1mtkJFsRtx3cYs2VbHvOEsijqCyqSlviH1sNKsrBqdHboVDcDecV0XaxkwIWkgntsmPSB1GB8wmigDvnJfDSCmLW2y2GWUAritl1NIAPts/zscm7yROv1B5VCzH/6M6P8q9e+FaM36gIbTTU6o7hym3g8aTwZGaRop5RQriNL77/YL8psx7+yEJiMPWgrFYF0VZ9KrmNvzx/mnlffKy6n/KW5kucCfbxR+vfAMBdrVVe7C0yV+thFQx7srgp64rCFGU61Fpb8qKmbY+gJ3/4rtk/56dOvwtPWZIx3PYD7ReZ8gZMeX0e25ZNcSmeRhlL2lbUXP2hVa/NDbmVDbnVbrVb7YbazWFZvIInpHJb+rXFRwqX6foIbknYW3x2HOb6NVSirw/yJFNmDx9FgXJMJqHuouIlf4B0Zqz/L48ppJ0aXitDzyRwTXaNyFkPUSul051kqyPmby2HPNPsm+9grVgWaQvq62JGh+c06T4XUzntk0wIenIPCrXYjcfGQZXo1IpvoSIyfoVBsZanVw4w0ZB+Hpne5oVrC0xODpgIRiVy8Pj+NS6dOcJmt0mey35zYLbD9qDOqDUWxTdyH2nT0pwcMnQs54GypJ0ata0K5VgiD52FocbOUaAw37kgJvys1+OTnXvo5yFPrx1gcVLiQ3+6eS8n9q/RiSPWlxcBMLni/3zpUephysDFJEBYuKMgIwwySgohG5UZAhOMZS4cGrN9QaNcfEw2comPjHJ/j7bqe5O388b6ef7F5e8A4G/c9jn+7cojrA3azETipn5k+R5GSUA7mhK4tqMxUK2UrCks3FnLBdZTReuSxtQAW8VdfmvlLfQGNWq1jIYvbuBfnX+SHM3vXHuQN8+c59unnwLgn7z4nXgWwg6lJeWNqlL+G2k3x2KBlezGWKBSZy4bUETWi5femj3ENlAAldRYuXSVNcGYMpsxDh/3h5WbNpq1NJY18bQlazg/MbXsHvFprFaqW1ldSeo2N9W5Mgf0cS9hsaDpoUcOBFs+6T6Xu73UJJ9NiXsN9GxM2nfcnveNiOopyxfnaDnB5mjD0jukqa+IalW4JJ/dPSITXo/J2KlMIOTWu06FKrMu4DaW4SgW4VwCaLoITOYGPM1gvYlxLOar65Mc3rfF5TOLXI1iHr7/DABPnL0d/+4eh6Y7vGH2MgCfWz2GBerrit2jcs5kSmpPsrYhXWqX9TS5Z9EjTdiz1T24BVhne1GvOvMk82Itv3P1jQC0w5gLWzPcv3CN/+XOT/BvL0k684XNBTqdBu+57yv88XFZiN9++AKffOEuFhY65DUYuKr+dNKQXZzEWxwyMyUvsJfWUDlYLf2oVOCEQT7o2XIcC/JelVs2hw2eSoSQ+L3J2/kPt3+S7zzzHawPpA+f2DnJmc15+oMay0pg90fmt9nsNPnxuz/KP/nK9+NtiEtZP96h3wvImsCki49oS/BchEkk01NsBmc257nvwDU6SZ3jTXHRfuXyI+RGc7i9ze9feD2faQurVncQMZMJeM+O14O8hpDlqy4WSql/B3w7sGatvc8d+2ngbwEue89PWGs/7P72j4H/EaGu+TFr7UdftRdFGfiYbkheE3h3mTDXstJbpV8m5lrohhQ8B+LveSjPc/87X3msyCtt7Y1Z9A/LRC5iFiZUNNZytu/0ShFm4wO+J+Qtxdd9T2DqRRTeFSp5+wZCKTwZo1ckQ9I4LkGsxmLK6qWZKmbx+ALpqZxjx1cYfuoAANt3aibPG9YesrTPegxOygo59fEa62+wJBMaf1CURXtYVwyXh6qcACYQBKo1Xul/1za1fNbXWFfQBo70V2uO3rHK/kal5vb0ygEWj21wcnqFx566H4DbDm2y8cVF4qkef/iC+MTHFjdohTHn900xc1o6MOxrsgZgNUfedJXLG6LlMdkaslVrMViol4FqsSCk0E5Uyx20PHRFhJ4qCX9nvR6fmLiX3azOL57/JmbqAlm+a2qNF2sLfOzKXfC8xFI+nZ7g1O1XCb2Mc715Qpek2vU1Rx68ys6wTqcrE2oqFGh8MYYFhqOIWQwXVJky90cuPeprDrR2+cvzovD8xvp5vvPMd/DBEx/he8+/A4DXty6TLPos9yeZdZbFcn+SqfaQX7/6VsJtxeCki1llHl5P440UsV9kkjSjeblufVOV0P/7F5b53Lk7mGgPudqU8v2H5y7wlvZL/NbKW/ifTnyOKU/G5peSt2FpkrQrEqO8VjGK3Ui7EcviN4F/A/z7647/X9banxs/oJQ6CXw/cC9wAPi4UupOa+3XD6OMm/GuCUWbwxiAMFI5kJYXX6cbkov4r06L4JUqsQkqH8NfvIJl4Q0h3LFYpYlnbSkUq1MLVrALYQEGCj2HexhzAYzZi4Mo3JB+iBp4hFsenrv70XCKdCajmyvCLY/tGbeIdGDQDzjfX+BwX84TbWiCgaV5ySPoWqKzErEL+zn1FQ+d5pJjh9LSUV6R43fPw1kcKjOVuWkEEKVcak/pcavLkOYBz6652oGNpoj4DNt88mADf0umyxKztHYV1zYmsR3ZEV/syM46saYIXIFc1rOEHRF9Oju9n+iaq2mYbQhlvxrDSjjXQ2eFC1o8B7GQVG756WfErI/ClP6wRp5rbK5YHcoi9D+//VN8/KvvhUTTcNZnsh1y373LfOArDzKjKknB5pLm3NI8NvZKFm6dGYFkp7L77sGbGMlOVBBut/nklrfMni2Dmf/islgU33v+HfzesU8A8Ojz387v3fX7nE09no0lVf3AgSs8FR/iQjzP74eH8J2Llp9r0VhV6AS8kSNHyiGetqSLKVNnvNKy+NHFT7I2bHNhfZaXtoXcaC1qMzAh97RXGJiQp7qHAfj5u36Xv9v8MdIJSgs8D8FEN25avGqA01r7GWDr1T7n2ruA/2itja21F4CzwIM33Jtb7Va71W7a9t8Ss/h7Sqm/BnwZ+AfW2m3gNuCJsc9cdcdec3sZ56auoNRWi/xb2RSOW1OVv+/h8xxvJaeCnMu0xMooRHsLf65IX41mFWFXV8cKbkOq89uin+PWUaKhnZG0MzynCaEODwiAsJYxTNrgBGeyBuBZ5ua7ZHXREukdtkTbisF+gz/UDA85lqlzHvGMCOyWrNFKiQenXR+L0I9SWAScU5ZjqzHux+J+qD6/dG2a6VkJ+R0/tsKFlTlOnbwKwFNrxwB41zd8hT+9/CCeZ8ha0q99Cx12BxHx6iTZalEpLNW/aROiuSFx0+3gnkUpS/0rUfnMBLLsvI+i3+WzlP7+yN3CBD7jiSn/0c17eX59kYfufAmAnzv/KO964Ck+d+0Yu5vCRWEbOb97+ht5+M7zvPDFu0tF9+GCRXuW3LPExxyd4/maMFRprptDMq4T5ytXVhCa8ucPX7uPutNN+Ru3fY5P7Jzk9a3LPPr8t0s/7/kT3vrMD7IzqHNwSvKW/2//m4jTgHZ9JKllJyOZLKRkDY9o3WN0h5hHej1k8gzky+GeyPw/fOl7WLo2zcxcl9CZr2+avUhqPB67epL7Z69xd+saAH/nmR+mPrQ0VkrKUfw+JRboRtp/7WLxS8A/R7zjfw78a+BvvpYTKKX+NvC3ASJ/4jV3YNwN+W9p/kD81NqWIp55uUlW27alX502b5wpRNVz7NAj3PRKnEV+uUE2l5LuhgRDRdiUwKc/Ep95Y73NIfdSt676eImhvirUcdGyExSKc8IdTRZpiWzfYMujG8uSHz+8xmZf3KOzlxcg0zz19DGaB7to57r98dMP0IohA6xTL1u5Kotcu0OpFO7FFn8gFaU7+yJqK3IPyWyOSgSBGo7B1l+t/fZZMVIbYcruICLPNXmu+fhX7wHg/W//VX74M38Lm2jqsZsXseZvP/g4v/yVR5ik6lu0oemJmiLhpdr1l3rF1jkO8195+fFHFs7ylqYsWP925RHObM6TLPr83l2/D8Bbn/lBPnvqP3Mu7fGh3n0APBBd5qnRYS6O5vhYskjiNg5/PaC+piSIf0b6pXOR18z3j2h9qCKV/rW738/79HtZ223RDGWx+uTKnbx14Rzfc+RJ2nrEp7ZFrvFf3vuH/NPgb9I/oKg57GNeo8Sj3Ej7r1osrLWrxc9KqV8D/sT9ugQcGvvoQXfslc7xq8CvAkzW99uXs3M7lumxnU85Tk4TQG3FlUunTr5QKUKHu7fO0lBaGLYLQeTxAGfBEB2uQti1DBYVQVcRuABY0BWC1zBSBF1ZtbNIgoBCiFp2ylkbey0ZP0qxqyFBr2Jz0pnCHswxqSboKga78qTmehblgDZBT4ILft8j6BuCvkfQt/iuvqU4Ns6OhC54IyQQWDI9e6rMkhS7CUqJmFuxg49bbkoxH3W5uCq7sur5qFzhDRWDXo3AqbWZmoc/gF4vxOsVPBtu3PqVZoc/VI7mHnRfvgMFg7UDuY33y+LuizLAaXzpPxoGfRmvJPFJhgE215AplEOGnkn2Qd9HJwrPoda9vuZIuCHaoXm1yfhDS973UanGd/dlPYtBlfGIYsyMJwFOE1bWRFkU5imuDqc5E0iaZW3QlqxHf5KzqZxgZ1DnXNrjjqDFoUA8+nPJAoeCLZ7YOSapWrfohkPpu5dY/LBCAJsFix/mWF2JJJ/PZtgd1YiHATt+9dZfHU2xm9Vp+jHrQ0HuXkzmHJOYLWkFjM8rYOa/dvuvWiyUUvuttdfcr+8Gvup+/iDwH5RSP48EOE8AX3zVE9qXp079gWidlsS8xumIWkPQZ29lZJpXKUAcMi0TjguV5WXq1OamXDjCjnup+2I5WF8TbstkB0Q02Eh2oeCS8EcepBk6yasxLrgmcmF/Kgrc0q2I+q5MuJpLLqQtyIceKjT4fVDbgTuvFfat6bzkVjCBcDKkLWhes6TyzPHiHBME+CNb9ksnLveuVMmPUB0HFedlVWRRH6FdAVVpb7gg6XPr+8i3i0olCLYVeQ3MyC/1YJNZ8IYWr+MRuMUinsldv3Ul8Rdrsros7qZhSrmDvGlQPS1mcEG46/ArXqyc1qmbByOnfZoZ6i5qGQUZW7GPNRZv18fU5cMvDfcJ+5QnBVfyfDUf274PlBSpFZaF8UE3Mkzilf3yYovOZf7oxJYvh8mlf0HXq/goTKU7+ujMsyUycybqs6wmmI36ZTDz4NQOH+rdx6Fgi+9uyWT4idWjfOvkM2RGqmSDCbm3bNvH+kqI7UsyZCFLiju1PVqn/6Vzsvx7O5LvT0dD5sMeT24d4htmrnB8QhKWIxsg7GwVfkR//bTDy9qNpE5/B/gmYE4pdRX4p8A3KaUeQNyQi8DfAbDWPqeU+j3gNGKl/t1XzYTcarfarfYXor3qYmGt/YFXOPzrX+fzPwP8zGvqhWUv36acaE9KdbzgTRlLMuWKmiJFfdXHhJVoj1Xgrzqei+tSstejQJMJRdryqW1KWXJRUNZYC4inhYS3f5uYeKMZRev0dQhO18cSKVqgJ3NFOmEJdxR9V4fijRS666Ny6B8ymElxOXq3heRHh6jNkMH+okYABvsCvCH091cmfO9AKFbGGMpxfKwqLtDiM1Vq8muN7XjLco2alFiK3QpJjsT412qoMKd/sKBjgsF+RXi0y3BHxkb5xf17DBcCN14alVnyukIPNCZ0zzKwZC2DMhWZ8ThnZIHIre5B+jxw9ROxH2AyTWNiRNZIMY5TctIfCjFvK2e46Cye/Rn9LMRvp2QNn4GjSEybCtP3UfW85BEtEboFH0RJo19wTowjSx34zVom9Ii7WuKZf2T5Ho7Mb7Pcn+SBA1cACWY+EF3mXLLAT6weBeBnF5/hF3YO8ebp8zzXuBNrivojS9YQ2sLMkVipDJRRjpuzelYnG8v09tX4s/x2Il/mUpz7XBrM8K4DT/N8fz9LA8FfPNi+gPWk/0UZifGgFMC6gXZzIDgVe6PyUGVCnNuglKrmj1aEOxLQ8SIPlWRoKM3yIqKuXkHBrIpfyO/hrqW+ndM54hN2oLYjVwm6Kf4wJ54JiNbExPNHYZlNUGPZEJSqIOa68n+DXUXYrVweU4PRoQzd9Wld1PQ8Gf7WkiGeifCAxjWJzBu/RmMlZTRVo7mas3tEJnlrOSFt1lyGYGys3P/iz1aZBFv0dHwYrhvb8eZ7psROBF2N2qnhjRTprFcWUSWTlsY1y85Ui8i5IUV2Kehb6mvybHTqo3PIaorBoiLaKHxwD79fFEy58cKidJGpGeuuqp6nSaoAs+r6jHbaEodw9HOd++v4XY3a0tRXixc9oHkqgat1/AHUt5zrlnr0b9eoLY/aVjEnbKm3USiNVeNq9yiKSYxHXL9dE/FiT+DloyRgs9Nkqj3kqVjCd3Ea8NToMIeCLb518hkAfmHnEH936grvOfct+AOInbZrtK2pr1l0CtoFaXVu6d+GAB3GHtnpwQGu9KfprbRInBbI3GQPTxn+ePl11LyMOJfjU96g7H+JfdSUVAA30m6OxcLaPRWhJRlNnld1/nnuYhsSQIunq65brbEKTM0d04CLVagsp+RfN6aU5vMl+0YyoRjN+tQ6lnhSMXRIudaSR/dQSDC09A/K7pk2FO1MeDHLHTvPHalOXv4OEOx6ZG2LzhWjOXkgYUfj7fj4A0X3jup+V9+kMPWcYMdj8z65lj+ArZM1rIb+Pq/0X9dPRWQNaC+ZipfTxSGUVngjMwZoEhi6yqtYSMGfYLWpOB+KfmtNd6cBTdmlsiRALcTYixFeI0O9WVKq2YVJNt9gaO/vMtOQ4MCVNQFGmUsRm/eLBZC0HYtYU0BOg30uXtAQwuDGSsWVWTBDebEWda6ifiG2QhiT5fhO9isIM4Yjn/Z8j3vnV/ii03G9PJwhq1sOf8MKly7OA7B4cJvT24t4R3tk51ts3isDmbaFQat+qEd/Wvo7dS6QuJNTCitgSIUV4Q/GhY2dFmlm+LPuCeZqMjbtaIofv/uj/PrVt3Ihlj606yMujuZ4YucYmbMg3jx9nvec+xb+4I6PczK6E+skLpJ7BmTNOhjIWkVkHOpLklnTSUWwlFqPb1t8lpnagEemJRvzW5ceYqo25C9Nn+Hx7RMkuSywf7jxDQR9qTr1XJDXCxQqvvFa0puDzyKYt296/d/Dfvmr5THvxDG6983T/rMLAMIT4fgs7EP3lRwOpuaz8boGeai47WNS049SqJ0uNo5RtRp24PgskqQ8/+Cb7wUog2l5qMscPEDrfI9sqiYMS+6lyhoB0YWNG+Kz2Py2u/ASwUOMa0jEbeWCY7aEE9e6ht5+SZFOvyRWTB55pW6lym2Z+gy6OcmUT207xXeyjKUsoOOzKBaLcHMovAtJRurQosHWQBbNV+KzUIqV77y97KtOJMimEymTV2OIRp2JOZu5uhmdyj21lvIqMGddJD9UJE1dan9mkWRJ6luZCAFDWfSWtnyCblreQzIZEPQzguUOS++UjIMJKNXUTEBZKyQq5VJLU2mdUrpw/9uP/i6/8E++p7yHrK5IJlTJQhVtC9kvCrxhXlEGumxI2tAE/QqerjJDdK3HlW+brTwWTygCw21VZtysljFUpoJJZA3pVx7B6R/9Rd7wU8IajpKAdx5Ulk0WKeqbQiHYWM+obch8Xnr7hOit6jF8kOfG3K+ekYwvzDyfkUV6T23IVx/7v+lv/kXis1AKfWF5XAcZWwuZ+Mo1Bg8IXDX69FdLuHfaDvAc0U1e0yw+vo0NPNYfkpRfczWj8eVtyI3olBZZlrGFcTTlRIkTTdjNGTgNjrAnn1l/4wQoqUtoX3H+4IRHdCbfw/pEJpYFhXq4i1kM55VwcgJBV47FMy6z4EFjBQb75O/Racl5x7MKZWSX23okZvqzNba+MaN5PiSZknMsfkmxedLjwGfT0jIYtxD8UV7uyip1P2djI5sKsYxSSvpejHcudG7do5T9lr7j8CeWpmCz6JywzP85dI/oEh4fzwAodu7STL3gsiZTiiyCcBd2701L8px0MgcFBz6hCbfcgmcLbIbek23yYg8di+XWvdNZmc7l8Tsewa5itOBStYf6xN0a0ZWw5Cg1nmL3vhQ11PziT30PQ8cu1j9oOf6mSzx/cT+BA83d9inrLAvw0spCs54CYxkd9EuuVIkNWchyzJs6JR+FNQpvI2RwclRCuJW2JImHGfpl1sMaTZxpbKp5w0+9jy//c2ENP/7JH8FkiuByjdRJZNaXPLxExJL0UmUR9u5OUH0PJlPsyM3nVoYfZMQ7EbWpEcZVBacjn+kXffJaVZGdB2pvUdmrtFt8FrfarXar3VC7aSwLfL8KuFmLaQSoJCB14juR5zkSUk3a9srjALVIsiHxdAFc8mgGAdYIc1Whgl4KJgDxVBm9onewWjOLc4xmLelUTrTiY3yXeanDXOCL0noRxQ98MemvEz8azVZWjClBd5LrNz5sLVQh/9WWJnfl2947BRVmt+p03z5gpjWkOxmRDmT3W31jQLY/JnvSwxu4QiMHNbehj/F0CR22YRXDyRoOIRgGMo6BJ0HjgimrEGsCRocrdy0Jc9S1iHwqI3Exh2AtYOs+CO/qMHKZCM83NKKYSc+wtV9Ksx84dJV90S6fuHQni/W4BP7P1AcsdSbxR22My2AVPJ+F5GNRDWt8RR75eIFPfZ/EBfJcE+9ELLxule1eAzuSAU6Xm/ixwtzTo2cFmDI6khCsBtTv2SEPJkm/WWCvf/+uz/K5nTtYXOzwunsFN/ji4/fh93MBjcV5KahtPIWXWRrrlUxh0M1QmcEGPoPVZilArFop9eMdsswjPyd9SBZS/PWAcKjItgu+T0u0rUnuGYAKOP7JHwHg7Nt/g5/duIszdy1wZkdiHoPDAY1fn5Tx0dVz9TcD8shgM017Ucamd2WCuKVBW+KtehnAjK6G1Ff7eHFYQv8LoakbbTfHYkGVpSibQxS+Ugnty44VGYnxuo6v1dwLERauwVT1PW8IeX3sHJ6tEIVUfqFKsvKB7alhGXNzmlcVyaRkDgqzuTiethXDBSmNB1lYAld/EjiM/73Hlzi3PsfW2gT1yRF2LajuvetT2xqWAc5iDKwSEtoyvZfm5WJQ8HWWH0/zCr051ppLimEiC1MyJYFIZlOiSyHx7WJCp9M5fsdjeLmNaUgfUs8y2q1x6OBmSbEXeSktL8b3DOsvzWGnJEuymkyjGxkL29WiVIyf30slTuOCeEHPln8fXXGSZAaYzLi2NoXNFa0p8eHVk3WSh7pobTEFW0HPo3FNkZzwqCvwXJVtQ8d86fwRTC/gGTdgzUEOuqo29QZOgMqTtGVtOy3V7UrkLtC46pdzJGtq+r0Ar6dpuIxM1vAEwj2krPjMGor6miVr1kVa0ckt/uzGXfzE3Iv86NI0P3T4CwD85sWHqbnsn8psOf+jNYUJPOL7Y3qXZDGJ1jV208P4ViQcXXejTSGMDsfmqTekJGG+kXZzLBbW+czjWAqXDSlXPmvLMvCXrYaZERRzAfFNChzB3jgC8LJz+EPIXe2GRLodsnOoMKGHP6T0y6VIyzg6/qo83Bb096bCLnixqFKZUGHGQhxeLJbG+HlNaMv0arcnq9Xpq5M0D3RRA4+RV6M2RtaD0i+n3DegCmm+Yj5nkv1RucWWWhPVOCvGFlY3vl5sy+Iif6Awvoe37eGNwLoJHa34jA4mBOsBxvFtFlH1jW6Ttx8VkpzT2/sYZCG9XoQ3VGSOuVqnCtXxUXklnaeue0574gXuuXluDJQBhgHJbA6epb8si8hkDPbFFtnxAelhV4QVGLw4YrTcpBko/vE9HwHgid4dmH4AnmW7K8HfVlYQ9jp6/rITbnzQ5culrEghKGNEl6YMcCqypsPUuLUwWvdK9GjxyDxPiQ6OkdhBcFliHmfuWuBHl6b5xdue4NQXBeL0/cee5FPZw3LdgnwJF+QNwK5FENjqWC44H5Uxlhmzwhg+TtxU3NsNtptjsdAKFQZ78v55K0SPMmqbLgDm+9g8R+msDE4WLdoIMKGurIVJDYEv2iCBLy4OVFohCPM0CBDL1IqVVpE76HDripCD9I9m1JdcYK5psWGAjYLKskgzbD3AOu4BXL47nlHCQTCTQ1i91PF2SNqGeF+Gcv6JqRtG8+4DqzJpWsc69C5NohOFMQGjfdWKE80NxTS/jn6/TB0Xi64nOw8aTFg96kI7gzE3BN8HTzOaUYzmHTx+JkWHOWE9YXh2kql5MXX7zRps10j3JdSKYjhnTfRXmvzphdfL6W8bst2o8+hdz/NYch8TM5IpGsUBh+e2yR9bqPo0RvVX0gFS7cRe4JMuOuaoXNGYGdAMMtLc48i0VEadX76dAw8t42vDhScFap3PJcTTijvuXWbnqYP8xEe/F4A77l1GpYpwcciDhy4BcKVxpywGBVYmKDAkyoGZ1B5JQWErM2I9uuHNWgYmU2LflnwUoztiOFPDDytN0qwhOIqslYPSZTDzzM48P3T4C5z64g/wzIO/A8CPLb+xJKPWmRbtGYTy0fgwdccWW6tSjBlPaawvbo5OK8tCp/Ks88jfa01cj2/6Ou1WgPNWu9VutRtqN4dlYdlrUkPFH1mQ8I65KC8TRnFprHEh2oIPUxXuyNc4h84qJKNOK7NX8BUCWtEFFWLKy6HS18G9bVHElYpyVxbrPahqnYJKQSUaVZy3laI7e2uFhy9MYWcz9MAHFGMlX6SJv8edKPtxPWQ+tyjf7mH2etn3xhm+jEMOut0zizW5hV6nRZCCdv5+tlZn6ugOO9cm0G1nzbkgo0400/dsArC50Sb2fTbiJiSaUew4RxOPCytzHN3jdlTWREmKDHuOkZQlnwxWm5j5IWGQ8dKKmGVhDpde2MeJk0tM3CXVnY0wpfPcPi6szNGuKw7etQZALwlRqaJZj9mKJSArymBUz7OA7jsZQH1sspMAAB5XSURBVJVTWT95NQ90pqoyglSBFlnIolBLr4fCnekwHCCxdp1bCT5HivqSWA6DwwG/efFhvv/Yk/zYsnCO/j8HvsQ7zKmxPtryHDa0bG+28eoOmZoFCJzMuSGFEemK4cp+F+014KxuClDWhJqxb9LfgnenEAyo3Z4IAxmLGYpjH3/zKaKlHsoJBamhy1fXa6jeAGohtlNxR678wMny59lnJZiRTIWEOwnJdEjogmvBtvwtm9pL7BmcX4HCNYqd8xkGXHnPIYYLlqArTz1ty8+zp3O8oSGvy4TOIkVjJRV1djfGpuYxWAzBQmM1kZ+B9qUBvUOOB/KLy/LZ6TaqN8S0G+j+CDMpfrW3sUs+2+b8P6wWj0KbpNAlMWmlz1FbE63Q9JS4ANMfbhAMDPGEgKTG2Z3zQDHYp2isSH9ru5W+aTwpeqcg3Bh+Pyee9su/F0G3iXM9dN+hpBwvqfU1/WMTROsyjvF0iDKWA//7WZ5bF6BVrxthMs3xw2ucPb+vZBK//57LnNuYRX1xspRnzEOn5G4qfAbAzgnNzGmDzm3J4h1Pata/EWaeVTTXMqJVB9DTiu2TLbCUQketf7bEc0v7Oba4waXPHiY7ITGVA7MdNrpNfvrUh/jJ//ReGZtNAXMpKzVDw0XHQ3JJE/Qso3lVigS1L8DuMYlNFZW7ygiE3BsqJs8bkrYLlq7n1HZSVGZL10MZ+MT7f51f2DnEz33+URpnZd5kDUvjmhI3s0h8ZRBPuViGrmJhWRNG+zL+4dse47E14dRYjLp88K9/iM3nN/4CgbL+f2rtKzlZQ5fCt7VtmdTheBT+NbbWkmG4MIb0vCJ+oTcy+KO8TEtl+4KvdYr/bs1ekh2xsS2IyDzSJHdXb3/jik9ty+KPYOOAg5HHVoKvsXVamfLZsJNhAs3gBvqdh6qEy/+3tu4V8bX9nsbP4SwL1K75JWHQc839sFljdvXVN7VkSlCONq921D39rn19r/urVw9gdkLOpAs0u5Aty5hdGfmongenXs4sFW0ZOser85oaGDe9ihhLvhyS7xeQVtxx5f8OTR5uekJS/CrDXtSS/HzHJ9qSsdg6muEPAwk+F+EqDXnNYgP5uUCRxvM5/q7HFzq3c3lHist2ojozr+FB3lSLhUrdRNcaxvgrQJCJylo23rKP+U8vlTUYBV/F9VFefwBZQ5PWVRn4u/xoHR0rmtcsM191ahGFMPJ4GhKwReRYqTERZkMWKYJdVQZFBREnSM8811x8t0ycIx8SnouSawIo+Sbc9WqdCoFZZngK2YLMuMi3qzspdC+NIPjy5VYZAR8uWKINzWgxx8Ye2iEHTShQ69xaaMvYpo1QIuae67ezqy9+W8DUi4qJS6YU79WJHUNS2rKOI9qQ3Tvs5qXEn3XUfSoz1T2AuIgITL1AHgb9DGUsn3/mBOGCs/rqIeSK+YVddq7NlViRRium3wnZPAULX3LPduTg8oHCj6trHfiMwh+KNeSV+qw+C1+SepPadlrph3qKxmqGl1QCxKcOLfGV7u00WjH+KMLMycs+PdNjmzY//vHvQzvJyXBH4w9h+W1w+LGswv3YHJ0LC/fUmSLXntP6UIDV4XXCyALFV0aQmSAvuBAUG7QrLlO55ec+/yg/3/E59/2/zENPvQeAg782S9iJhf28oIsMXVGjlRqX0vJ6DjbuUzxx6SiZC8J311qsbs1xo+3mWSysLXVNbZbtKRwDl/NOUmpdA2lWAq1U6kmuqPiOazXHyF3rWvRIzlvbbqATgXR73ZH7voM/J9ke/AR5XuEnivMqRTytaF+2jOZcnCORl9IfymIVbjgQ2VqvgoUXdSRA00HHVZJVhWBxTuNqv7pu0a8sRw1iyHN03+VZ3bGpF1RZTp9MWpIJi9fTTD6tSVuynQwXLLsn3At+Vna0YGAwnjBwS02BnCM81Kc3aJUu2/Ut2GWPYJPKLd4we1mcZLyozhoRkLbWI9wclouFjmXMp5+J2D0m1pGfQzafsvPMHPmhUYnVMF+aQi0YgoN9Wn9c1FaPXfA66gLraYFiu2vVhxm1micvYFotWBhFtDYoldQBnvnCcYIMks4Eo4eGTE2IG7K91oZcMfWcj+9o9HVuyWsiUvyJ335zKSlYxDuKfow3q8eEkV3TTnOm6JcNfScraMqshzKWxtk60ZbloafewxMP/AEAf2X1r+MNUnmGY8LIErPD5cbd2FjL6Lt9oq+2CMb2xes1eL5eu5UNudVutVvthtpNEeCcjPbZh6e/m3xtvTxmHnmAYKWLigsilh1snmPjmK0ffOOe708/38PU/NIntZ6i8eIajGKIati+2y3jahm9+PfvK3+ONoWgJZ621LZlhZ5+KcX4iuGMR82RyqZNzewTa+RTjQrssjvETNTR286t6YqF8Pw/OwpAsOWNqagLpgLHa2kOirXQ/mKdzj1icRz8mFx/MK+Jti3dg5qgbxnNyvGps4bdo5rJczn1VbmfIohqaj7DhVppekZrseABkozBQRffuNxHGYOp+UId6HAW3rUt8DQr/6YK9G5vtrGZQo08mrd1GVyQ+IKZTmm+WCN5XZ+08MEdSnXymYDmqozX0Cl2Z5Fi90RO0HG0enXJIDSvKCbPO2SilR00aXuEnawc39GMT9g11C93WPpZ6Ws9TOkOa2SZh8k1mcMz/OTDf8LPfPGde7RARgcy/odvfIaPvnAP05+Jyp10NKPYPZVAognX5bwzp102REHQM2UVsqioWzZOaeafqqpOdWppXO1x8Fcu8V2zfw6IpOCZzXnuX1jmRxc/CQgL96/d/X7OZzMlFd7JxjKnBwdIrccnf/eN9O52eJXNgGhN4SWCowDJemQNS7KQcfAjmvqqzJs//YPf4nvPv4Mr3SkOtYU1XCvLO2efYcobMKFH/OmuzPNvnXyGf/Av3sfuMco5nodw/v3/mvjS1b9AAU5j5EUeW7j87SFqMILUuSauvNzmOc3VvQKNXi9GxxleAZRSwCjGxolkqlL33az6XutqdS0TQLRsXIZDjoc7Kf0DNRrrlc1mPYsaxni+V6EgRzFaK9TIXcO5Uq1zjoC3a8t6k8YqJG0PfyRcD7wkL2bShtq6R9BTJE05b33TkLQ0tW0JQkabcjxpKvweRFspftdlhgo+izSn5lTIinEBUHFGbUtck8Kd8TJx54qaFpumqEyxe/pgeb9RVxHPGBrLmkEyIQsdUD9XI21a0p0ayqXs1Ja8nI11QzzhJmNNgo15DeorY8Q1VgBwjXVD2HHRQOtQkXmA309L9yZCXFA1SuhdlMxJN7D4XS21O7NDzJoEIn/53CPUzkfEd4zIG25qh4bHnr0PNRAUZZF1MCGE1wKS/WmZwYq2x7hMR3kpRCWKZNBc1oSdouoUdG5QwwRjFT91+l0A9AY17jtwjc+du4O1oSBLl65N8z79XnZHFYt4b1+NK/1pvm3xWT6dItWjQB4ZTOAJb2nh2YSS9fCHAWEnxhvIHCuEjB559t3M1WSTembzAL+0+zbunl7jhe2FkkHr4mAWL7E0VioUqk5VGUi+kXZzLBYoSvoe12zgpAsLHIDW8rPayzsBzk8LvJJ/QLDfnhR1eV517nHEo/sxr0l0/3pJAeOkANOmLhXJspoCTwsHRJG/1iKzqDwJylZMWfL34aLCuEBk1oRwVyyYPBRoLlCWn6ctW7I2dY961NekDsC63RnA05ZkUvg3/AJ96TAK1sk4Fi+a5yjklG/lOMiYWiscDUZXfBYuPlP0FaQ03QaW3p0pXsfHm5BJmkykmJ0QAkNzsghQyt+GMy1clT15DZJIdkU9loDKI0s8l9O+okuUJEZwMCbQIs/nbi0PNTqRY6blXtTAoOYymkFO6GcsnpTiu6vr08y9aY2paMiLA6lam57rsr3W5s6TV9l46jBpu7o3E1h0mJO3Ckq7QiJToT01xmfhIBWqOiawcA2e5ksrh/CcKVSrZXSSOhPtIRfWhTJhZq7L2m6LeBiU8+7P8tvprbSYqQmDVaFrajNNfH+MXYuYukOwItubbVit4Y0opRwBrnSneOTZd/OZ+/+QDzr5hs8vH+WeuVV8Zbh9YotrA7EGn1w6yExGSRkgc5fx2spXbTfJYsHLYadaX/dyq7IIrKwXGP+bqiLCX0tYaLyNixTZVxiFglbfeNX1rFddq5jM8rM7NkYTN66lasbOP5qxJRdlSY4y9oIW14rWLcaTYrTajiURIiqiDUXWsFUBWzk2thqD4tY8B05T1QSrRJt0+Z3qHBrT3psVUoFB7wSY+YRaKDNrtB1BYIgmY+pOr6Koo7A+YxT6CPV8YMnaVWBP1XNUz8d4Y1IEjh+ylAUsrMwiCKsU0wuyKNTDlPXtNosTXZpBwqVtGZyD89tcujzH0Xu2IHAFY2HKYCJmZ1R353Z9Cyx2JmFxdpdOVHfPqYnOKAO/ZQGhCxhanzLKZ1HlfDg+s0HiHnLDTzjeXOdqc6qUFAy9nGaYsuNHJQt35Gckic8j0y/xtHey5KNoL/akKCywJYTbq+ciieCz57kfau8wV+vzwX6D72xKMPY/zq3yTTMvMjAhnazBoYZA4T+T3YHVzZcXRt64YXErwHmr3Wq32o21m8OyUAq0t8ciMKGH9j1UXqioixuitCK9zmWwofBZmLDIayPmduZcmfHd1LVChwMkHlCwVtV2iutr6psZndsDvE2HW/A11vckvVqwjo+rqEPp8hifsigtcsrswwPO5gsN4XJQFg9Nnvbo3GVQMzHNVfH9O7f7tC/nDPZr6uuQtuSzs89aRnOeFDY5k1g7O9kEnuA+nB9qAs/FASrosvUrVGX5fzE2WtyrIg5Rq6eMNurYyZSp6T6952UHrx3rEXyxTe+4InYK8d5sTDbyadZh6px8fzStyeri4vVPZKjYxUeGHv5AEKSle2SELDevabxRFXcRbgkDnub4jNAmtn3ZnXdHEReuzuNHDg/RGBJNxnz54hEa58RsWx7MEywM2dhuM51B+3KBc9AMpxWra5PQlTHPQ7EWrBJ/vgqYIzGVTNwicG5IKuOpx4R6/ur8k/zK5Ud4eO4Ca5H4PG+avcgnV+6UPkbitsW5z9xkj9+69JDQAToXq3dlgmhd4yVSFAYC4S4sHhOqMdfR8szmAT6/fJT/OCfs4v/h9k/yge4sH167n4dnzvPuyScBeHr7NtYmFTqjDJZ7Ka+p3SSLBS9zFayvKpMf9rB7j3NaAqUC2bgS1x52b/cCj3NmjLsGxqdyDQqQkSfXMYEAmMrrfh12b6juI5uqzPmCaxNHcKNDEQpSUy4o6texoSGsZVgdln2ynhIknlf1z3oSV0ibGr93vWtRuCFFcr0wlxWZk14MNzXKmEqprVzkFGjFzIG9moijoIZXy2nWEnZdH1q1lNSHYDIusyG16P9r70xi5LjOO/57tfY60z1DzpAiLUoiKVKWFCuGES+yLCA24CCIbfiQUxAjAQzkECBAguSQSw655GAgVwHxKQGMIMjBsAVIQOCDY8UBgyi0LJmmSYYSRXI4nLV7pqeX6qpXL4fv1dLDkTQ62JxY9QGDaRZrqt9S9dW3/v8xYS0m9QrGLHHhZC71zoTxtpj7bjMhASZdL4/MK0dJIV7mKpjSNTxxSbMgXscbsRLME7maftAgDOVBe3H5Bi9PnpnZX+Mbnj65yp3dLsYtuFWNB0tLO+xNQobWBTCOS4q4ceX7SQrYDFEXmgUXX45O3g3GPNe+JnuNg04dnm9fZ2T9zDh1+fzSTe5OOhwPJGv27mgBV6V0wjG7+gSeb6EbWxaPQhfucYqUcOvQzHD6/u7im7y0+yJPWdcD4DuDRf6gvUVf/5yvtK7Stwvx5Nw6W9GjDE+ZmWzI+2K/7JOjoSwOyt7ahp6DeUNmT814JXIFX26WKf2dybAn911jvKyobVrekIx21UiqNNw2TG0ALItzzDC+7S8Kyj5b7Ae/5zBdtpSE675YG9pDn5iCrdAbHzd481Om6w3GC3Is7BsmXUX9vmLahsY9uaHHiyanBJzhDSFbA1OsZ6kZK0vf5g1lZnZ95TzDNCluib2tBsdP7rD5v4ts+Rq1LG/0/nobd9Fw8eQ6t+tSOpyB9qR9mFgUsqgrqVPjw/ROK/d5tUHwFtJiz7LGrf28IcLXIf/499vSOxT6CcNxyPnlDR5b3qI/FiW0l4T0NtvMLQzZW7CZm2MjWn5E3Y8Z+IrEZoZTD9ZWujj1hIw7I0vfZhWQOfqVHZfxS3o4X2vDWPt0XIkZ/PPqb/Fou8c/3n+ep9r3AXj17sf5/TOX2U3qXN4WeoCvPfJTvnfvE7zQvcFb3kUiy7+CY0g9I70+flbMJy8t+f5ifzvuiIvddTyV5orplfVn6euf86edO3x/uMQPdgSYes6biHWUltbWcCC41HvJ0VAWBw04CxYeyBsye2rOvG2vU65oK7s2ZcuifI36mmH0iHzOtC5KeEVHT4g7AKDsH5nSy5uZa5aDpjbVeVwTrMkyT0/FqJELi1Pcu7W8zqK+odg5FhAujahvi1nfP+sy927K9klFY9Ww+4Rcd/5tw/C0muWwyNCPLHdpvlJZJriM/qyyUmAe5FVxFIFXhMcXlnfZWJ3HPT7B8zTTO1Kr0TnbJ765wPXVpdyyaC7JWz/tQPeGyddY15V01x6LMD0b0XWlMtc4JSQ0R2y1/bwhecATuHBcOkZbfsT6uM0wDri70aVWFwut5UV0jw0YRwHBtlXEtQatM1PGsY8bG1xbDjOdVzQXR0QTHxOrfF+xAWJTvp+s1ZO6ZmbNs/uu7sZ0LLP75xbe5l/f+U2+ef7H+QP87OIqbWdC04v45IIQD10dniR0E17rncdJIOzYhsntOk4iHaOOHZdKKPGWFIsz50z4RW+Jx+e22bGMRJ9deJuvtK7y/eGSDXpeke+bnCJjg8+BehQHP3vvIUdDWTxky0Ig2u3xzHsw9nNanJu3Bn8IywLAyXLZicIEKSSOpOiy2n/7/TpxH3ijpr68STI3RNqM1S/NstgZNKjXy3lORZo41IOYsZ1HrIWpLU2LFHJi5+Jm+wbComXfZq6vie0cVJDCxMUbfzjLouWLZdPxx9zZ6zLVLqlWJIlowpvD48TaRWuVc+corbi8cZpp4korTXZdLWP2fE3iZ2ui3teyCHvqPS2LV3ufAOD3um/wo/Y5Ou6INwaPAnCxtcoPexfYGLdy7tGVUYdIezIHjxyFGy+V/TIU6flUiKrSYNay+LfdZ6h5CaujuTzr8fX5y/RTz1oUV/IsycvbSxIbGRdNa8rwwLP0flJlQyqppJJDydGwLODBhqT9QC77/i9jBc+KlWbeRvY8Y6TjsczOvp/r1BuDPzLUthRRp2xFyEVrPWFAAwRf4ACL5SCu06ykO+wXrNX1Oz5RN0VpD2+oiDPsz7EBrdAbtZwdPthxcCeG+prCGxsaq44db0LQV/lbrTwG7BqoUqlE9gZU5XHvB+/JfiuF72uGA+s/9wS0xd3y2NCKcCTjHd1pMzcBPfBxbeVhPBEXpb5DvjfeRBrXklAR3W3Q3JA5TLsuKpbK2fK65Xto9llAFtv0P66fk/XyUynxThSkiumWuEIXL9znP//nAipWhBmkxsjh0bke//3mWY6l0qIPAmC7vV1HxSqPB2HS0vcx49tjyDlm5dzi82c7N1mJJFP0N9e+ymBU46Xpi/z9hX8B4E/e/EP+7unvcmt6TNjMEe7Rjjviu5ufRBnh9QBB4a5tSSl57oZoKf2Ojmu4UqzN78y/ya3RIpdXTvOjROI5P+2d4sm5dea8CVcnp3h5W2o9vv2xH/Mp8xsYjxx0SftA7fCmxZHoDZlTC+bT6ot4J4Qv0kwmGAtyk9p+DufZC9J/kZV/254RFQaYyQT8ADMsevMnX3g6/1y/LRH+tBniDCN0KyxKoYcCsmNas+A33N8UXEpH5d2weB7rXzsnNHA22OnYm37h6jh/4DJx96K8FBvABB5xt44yBq83RjflJve2h8RLkmbzrwssPe0mahxhGrX8NyDAQHMt7v/2EqnNsuiwiP4HgyItrIMidpLxZi79JM5b6lVi8mKtSVfM4eZagj/MOnrT/IHQDU/KsBFmNn8wRYdukXpVwu7mbRT9POWUdXKsjTuU42kjgDRl5YvzTC3SlqMV0YLGiRx0S4Mdd23FR4cGN1KcuCTfn3pKkM7KrifSRxL2EpQuUNPSwGGy4FHbjHHjFP/+wG6Ow3RZFsrvSbzg+h/NoWKFcQ1f+NwVfrZ5EhDEL6MVwT2f9m07NS37vvcodH4x66JmgEJTe4/4Y1MQ+mS62RZH+UNjO4Dl3PraBGecSMaqVKF77ZtNvF1LqnRBxrv4wxB3avK0KkA0r6T/xcie5CRCBl7/25e48No3aNRkHyZTn1t//m2i2/+fGMlAbqxGhsNv23y1RtmS5aRbx4+SHEU6n10tBJ2iwmCmUWy4XEwt2JaHMp4L8BVMuyE21IZrUcXT1iysnRP4KF+QsvI4hO+TerDzhJPjWTiRwh/BtOPvQ8pyqK+xDynLI+oKb4eKUyZLMq7GNCFakDdO4FsQ31ooyOH1AKVT0qaMz42mmHpA77nZSstgw2V6KmYEOZ6Fc7dGbVvhTmDyeXlIxrdb1HqaaduZBb8ZCifGzuM+DdtY5Q8KZrBp2yGrso/nPJQxMpesfsMqhtawFO/ISuBdh2ixRtYZMe2GKG0IXtjM92Fn0IDE4dzpNW688bE8hrT4mfus3F3Aeydg0rU8Hr6yCO6zFujuYw5zxptBykrqiv5Zh3nHJ9hN8Szps3EVw5OCWta2GBNffv4NLq2eYam1x6VXnkV/XKKhZ05tsrnX5Pz5Dd66JNZN0FPUNw2da9KUFtuek2BHFMC0rYhtZq1xH4aPKFLP4I0KS9gooYVs3iNvYXCjgEAplE7RtQxo2vCXL77Kf+08zqV3H6P2M1Fyu09Ir0dSK5SCk8DwlDTEGYccEd14cOG1b3DthX/iO4PFfM3+rDFLEfF+cnSUBRR9IKlhv8WTYXLuD3jmGJtm9m/KOJ1FEC3T/KU30n6zPB9L6Vh2QxrR4k5C/tZ0EourqW0gzD58/jC1hLqz18nPMeCNMlCd4k3IzLxMHuhVpbXBGLy+mxd9geB9YhVpNlwvlki6SiDqibJxdDEGR88+bEpDrZfm43JKxVyOdmYDvQbccVpglipB3to/3+zfAl5kxzXRoA3b9+apLcjNqiMXEoedqIYzLQKJwyiA2MGZwZPMcEWZCY4HfWPnV8zL0YqwJ66RmtlTRbCbFWjJsc2oyTgKGAShwNNZkJi9KCSKPK6snsx7KZyk2HNHq7yYj1QeXH9kcmTy1BWUNuletad5SGvJWLhpsvG6UUqGh5qjcBvDq+vPcLvfIZl6OR5F2FOidHcLy2KyqCSjZy2LPJgZg1eb5nUYAN/aPpuXqR9GqgBnJZVUciiplMUvSXTtg91AHTh5+fCHvn7JqiiLMz74ek4jwWl8cIvhtK3QoXqgs/cgSfedk1W/HiTleWrfIQ3c3KoA6CwcjAU5HIUHHj9wPMHB358GAka8X+KmQ9wsxrUxbnF6oc/FzvoD557oDmjWI9xICK/LmJmpL/EhHRTHdKhmjunQxpYC++NLgDFbM+0rtF90te6X5dqAuVqUN5yBXDv1lfwE8uPG9vj+8fgSowCxKL61fZa/WriJ+yFyp0fLDclKj20pcvlxOKj8234Qey4r77aSeorWyhRdd3N4O38gfqI3mM4WNJV/52MpfV+pm7W+lTJadvHtvR3sWLM3SXPSGYC4Gc52htpr5uXYigJk1VVFCXsGj5bNxxanmdLaoBQmTHPyo6AvJro38th7XDo6AWpbirAn4LzDO+KG+CONk4jbU3Z//L2E1HUYnghz1yJ1lZRhY8uuy12YtiQ6C0Samf3IAptK3ChbDj9TNIehUYsYvCX+czRUNFJYGx2n0Ve5Ozds1wh6Du3b6Uw5f9Y2XnajRicMjTWFg5kpOZ8sGhrrzO5HVqhmijW/dWMZb9flZvMR5ndB37KM9tsB7ljxpS/9hNfGMl5vJG5IuJOy/mmD35fB1deVkNO5MDoj910w8Bie0Rg/zV/PauSiFiLSd2rUeqJIZG3J77ncxdMQG4e/PvcKf/H6H9NclTlvfEbj91zCrVnqzqRpJODtFKx3XNwjXmnyvZPPcXtXMjc/WHuKJ2svcVg5EtkQpdQGMAQ2H/ZYfsVyjGrOHwU5ynM+Y4w5/sGnHRFlAaCUet0Y86mHPY5fpVRz/mjIr8ucq5hFJZVUciiplEUllVRyKDlKyuIfHvYAHoJUc/5oyK/FnI9MzKKSSio52nKULItKKqnkCEulLCqppJJDSaUsKqmkkkNJpSwqqaSSQ0mlLCqppJJDyf8B/yoVl1jHjEIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86f26da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 5 of size 183 built in 0.9662420749664307 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 5.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         0.44444444 0.11111111 ... 0.03703704 0.03333333 0.03571429]\n",
      " [0.44444444 1.         0.08333333 ... 0.03333333 0.03030303 0.03225806]\n",
      " [0.11111111 0.08333333 1.         ... 0.2173913  0.19230769 0.20833333]\n",
      " ...\n",
      " [0.03703704 0.03333333 0.2173913  ... 1.         0.88461538 0.74074074]\n",
      " [0.03333333 0.03030303 0.19230769 ... 0.88461538 1.         0.85185185]\n",
      " [0.03571429 0.03225806 0.20833333 ... 0.74074074 0.85185185 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86e453c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 5 of size 183 built in 0.9853420257568359 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 5.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.38888889 0.125      ... 0.01960784 0.01960784 0.02040816]\n",
      " [0.38888889 1.         0.08695652 ... 0.01834862 0.01834862 0.01904762]\n",
      " [0.125      0.08695652 1.         ... 0.09473684 0.09473684 0.0989011 ]\n",
      " ...\n",
      " [0.01960784 0.01834862 0.09473684 ... 1.         0.74311927 0.56302521]\n",
      " [0.01960784 0.01834862 0.09473684 ... 0.74311927 1.         0.6173913 ]\n",
      " [0.02040816 0.01904762 0.0989011  ... 0.56302521 0.6173913  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86df2cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 6 of size 183 built in 1.2535755634307861 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 6.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         0.44444444 0.11111111 ... 0.03333333 0.02857143 0.03030303]\n",
      " [0.44444444 1.         0.08333333 ... 0.03030303 0.02631579 0.02777778]\n",
      " [0.11111111 0.08333333 1.         ... 0.19230769 0.16129032 0.17241379]\n",
      " ...\n",
      " [0.03333333 0.03030303 0.19230769 ... 1.         0.83870968 0.57142857]\n",
      " [0.02857143 0.02631579 0.16129032 ... 0.83870968 1.         0.71428571]\n",
      " [0.03030303 0.02777778 0.17241379 ... 0.57142857 0.71428571 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86df8f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 6 of size 183 built in 1.2414467334747314 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 6.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.38888889 0.125      ... 0.01785714 0.01785714 0.01851852]\n",
      " [0.38888889 1.         0.08695652 ... 0.01680672 0.01680672 0.0173913 ]\n",
      " [0.125      0.08695652 1.         ... 0.08571429 0.08571429 0.08910891]\n",
      " ...\n",
      " [0.01785714 0.01680672 0.08571429 ... 1.         0.68       0.48201439]\n",
      " [0.01785714 0.01680672 0.08571429 ... 0.68       1.         0.54887218]\n",
      " [0.01851852 0.0173913  0.08910891 ... 0.48201439 0.54887218 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f85512668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 7 of size 183 built in 1.61334228515625 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 7.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         0.44444444 0.11111111 ... 0.03125    0.02564103 0.02631579]\n",
      " [0.44444444 1.         0.08333333 ... 0.02857143 0.02380952 0.02439024]\n",
      " [0.11111111 0.08333333 1.         ... 0.17857143 0.14285714 0.14705882]\n",
      " ...\n",
      " [0.03125    0.02857143 0.17857143 ... 1.         0.8        0.47619048]\n",
      " [0.02564103 0.02380952 0.14285714 ... 0.8        1.         0.56818182]\n",
      " [0.02631579 0.02439024 0.14705882 ... 0.47619048 0.56818182 1.        ]]\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f85534668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 7 of size 183 built in 1.5151872634887695 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 7.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.38888889 0.125      ... 0.01666667 0.01666667 0.01724138]\n",
      " [0.38888889 1.         0.08695652 ... 0.01574803 0.01574803 0.01626016]\n",
      " [0.125      0.08695652 1.         ... 0.07964602 0.07964602 0.08256881]\n",
      " ...\n",
      " [0.01666667 0.01574803 0.07964602 ... 1.         0.64963504 0.43225806]\n",
      " [0.01666667 0.01574803 0.07964602 ... 0.64963504 1.         0.48993289]\n",
      " [0.01724138 0.01626016 0.08256881 ... 0.43225806 0.48993289 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f8555fbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 8 of size 183 built in 1.8512804508209229 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 8.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         0.44444444 0.11111111 ... 0.03030303 0.02439024 0.02325581]\n",
      " [0.44444444 1.         0.08333333 ... 0.02777778 0.02272727 0.02173913]\n",
      " [0.11111111 0.08333333 1.         ... 0.17241379 0.13513514 0.12820513]\n",
      " ...\n",
      " [0.03030303 0.02777778 0.17241379 ... 1.         0.73684211 0.41666667]\n",
      " [0.02439024 0.02272727 0.13513514 ... 0.73684211 1.         0.49019608]\n",
      " [0.02325581 0.02173913 0.12820513 ... 0.41666667 0.49019608 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f854dab38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 8 of size 183 built in 1.6855223178863525 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 8.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.38888889 0.125      ... 0.015625   0.015625   0.01639344]\n",
      " [0.38888889 1.         0.08695652 ... 0.01481481 0.01481481 0.01550388]\n",
      " [0.125      0.08695652 1.         ... 0.07438017 0.07438017 0.07826087]\n",
      " ...\n",
      " [0.015625   0.01481481 0.07438017 ... 1.         0.58169935 0.3964497 ]\n",
      " [0.015625   0.01481481 0.07438017 ... 0.58169935 1.         0.44785276]\n",
      " [0.01639344 0.01550388 0.07826087 ... 0.3964497  0.44785276 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f85504240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 9 of size 183 built in 2.147176504135132 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 9.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         0.44444444 0.11111111 ... 0.03030303 0.02439024 0.0212766 ]\n",
      " [0.44444444 1.         0.08333333 ... 0.02777778 0.02272727 0.02      ]\n",
      " [0.11111111 0.08333333 1.         ... 0.17241379 0.13513514 0.11627907]\n",
      " ...\n",
      " [0.03030303 0.02777778 0.17241379 ... 1.         0.73684211 0.38461538]\n",
      " [0.02439024 0.02272727 0.13513514 ... 0.73684211 1.         0.45454545]\n",
      " [0.0212766  0.02       0.11627907 ... 0.38461538 0.45454545 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f855b7b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 9 of size 183 built in 2.0564873218536377 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 9.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.38888889 0.125      ... 0.015625   0.015625   0.01587302]\n",
      " [0.38888889 1.         0.08695652 ... 0.01481481 0.01481481 0.01503759]\n",
      " [0.125      0.08695652 1.         ... 0.07438017 0.07438017 0.07563025]\n",
      " ...\n",
      " [0.015625   0.01481481 0.07438017 ... 1.         0.58169935 0.38728324]\n",
      " [0.015625   0.01481481 0.07438017 ... 0.58169935 1.         0.43712575]\n",
      " [0.01587302 0.01503759 0.07563025 ... 0.38728324 0.43712575 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f854d7160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 10 of size 183 built in 2.443324565887451 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 10.0, 'k_func': 'tanimoto'} is: \n",
      "[[1.         0.44444444 0.11111111 ... 0.03030303 0.02439024 0.02040816]\n",
      " [0.44444444 1.         0.08333333 ... 0.02777778 0.02272727 0.01923077]\n",
      " [0.11111111 0.08333333 1.         ... 0.17241379 0.13513514 0.11111111]\n",
      " ...\n",
      " [0.03030303 0.02777778 0.17241379 ... 1.         0.73684211 0.37037037]\n",
      " [0.02439024 0.02272727 0.13513514 ... 0.73684211 1.         0.43859649]\n",
      " [0.02040816 0.01923077 0.11111111 ... 0.37037037 0.43859649 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86de0b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 10 of size 183 built in 2.350839853286743 seconds ---\n",
      "\n",
      "gram matrix with parameters {'depth': 10.0, 'k_func': 'MinMax'} is: \n",
      "[[1.         0.38888889 0.125      ... 0.015625   0.015625   0.015625  ]\n",
      " [0.38888889 1.         0.08695652 ... 0.01481481 0.01481481 0.01481481]\n",
      " [0.125      0.08695652 1.         ... 0.07438017 0.07438017 0.07438017]\n",
      " ...\n",
      " [0.015625   0.01481481 0.07438017 ... 1.         0.58169935 0.38285714]\n",
      " [0.015625   0.01481481 0.07438017 ... 0.58169935 1.         0.43195266]\n",
      " [0.015625   0.01481481 0.07438017 ... 0.38285714 0.43195266 1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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tdD9dJx+EcwzvxINPHbxQi/V/A4Dxu3m7X+In3uAPMrtlsRcX5w1phv9hRRY/FZm8o9bLkDwdbETTXssEtgfCsmCHgiNmF4JcsWCHZPQ/M43xu/w8icQF93rEjy/Mswhybdtaf8CWwf1w/6OwfmkKOl+cwOyu2nOLTrrPrcaD3LzHbyD4AhEUVdsCz6Jt4GyjjTaawjWhWTTC7JPMxRnFAvRsMI0CAI7s+ibuW2LKT6ZRMGzffUIsF/5xcep/s3A1iGDkNusLbnM1UU+LuFbg1SSuJXi1iGsV1wQpK6X00F2x92Lit24GwBLXaNMFQcICgNGv9vtIWpw/wUlXZjIM7bwbM/LE849hw3MfEaQtwG/r6H2psTFLncgIjwP3cNBYGMc/nhAELo6zby5D+nUJWp6KfKC9B1pQsT2QLjJjWT1PASmWQaNhHH+wO/D3akTHXC4HwEhfStGG6dhMlCJr5+vJIxcD9tI8SAsRmKMfbJxTxIvINEX3vtYYizVYoG8zv+TmpQjPWYF8kY5hd7pMKhaspAbtRBNp9RqgGQ9HYRfrm5pzhV0QyaoRgkhcL730T8hmz9+4pCwv0YovV5OlOHGrmrSVGJGRW2Nh4OmFCUHVxCdSKGPlpoIgdAGM1CV3VaDl2ctdGCSB/20VjQhLpFhekPQFMOIXFxLc/asUDefbP1flRKzUgSXSvVtIwtssAUygCdJUI7SSIDhIUMQv6CBV3h49qUINCv1uBU0SrcLTZVCJuG7WIJJViyDmDe4N4RwKvhzNV5hm4aFzcy4G52FUox5fgkMtVgI1C6BQw9FY3jOHbHzA17ZYHgRnWC6kWSzM44Dvd87jMOt4YThDtBXuQ2D/muBDiD61yuloggfRCEEciVZgRmQoAZ4PzoFYLJrlTtghGdR7DkG8iVaP3cIluTaEBaWAYYgs3KN3x7DmkRnBqwDg411IFVcV4zwKtaT7vB5jX1+Dz3esFTwMANj9hw9CyxmIXZDr8iU4iGGCVHEZyHwexW8MYjDvSmPOzVj7e8yuMf73TijxYnkQzvk24iCQbB69r6Qa8jiAYC7HufuDR5LV3174uM2gFdJQK5wOqWI1x4NohAU8QQvxOEjFwMTbO31ty56fczkQi0UTmkX0dJbxNLzCIog30QBBvIxWNIu2N6SNNtpoCteGZuGA1/Wo5lwAft5FtLoYXACPQu8ggoux+w8fBMB4GH8+dTMeHdmG9M8aj1L1UpYVBgkwJvnXAUz/FTOi9v8542fkP7BIOdxkHgwzJqPYU6s5eNPRBv2+/mvB89zh31aQeEPD8pcv/ygpNg0rqHQ2V9RIj4fQdXSJNosF+mYkG6v1ahbof8YfKTt+Vw+WnVxiiHoT18xKhCDngPltblxDx/cW9hD6EDQ1vu6mIZcJiRH2smg59uL/+dTN+Kve1/Htn7wNQH3abyPExmjgulK48i656PQCyXcDfpfK9Yx8CsIXr7xnLDTbnNGR2Jf/UfVGhdbtR+XquDjl3BKFOJZudL/uhMXsk4OIojkXGtcsYheY0Hh0ZBu+/ZO34eSvP4z7/v7eRR2/MEh8AoNrFtFpdik5P2M9lpiergkEahYeARH0e2g2eCRPvKFh+k4d3Y9fuv41g+Y1CwnBOb4uHRbWLHTQkL+/V4q3wTSLypL4GIsOPnRwTfAsEh3L6e41HweGnToSloUzf7wDfS8ZIjOVNnoRMEzY2RzK3+sU7ku908Lg026sB0fyTNmNDXGMmd5cnU8cZFUKtr74AMqnE9iw4xx2pEfxzZdZSdbeZ1WYUaDYRwTRKLuaoH9/BYV+DZpj5FRzJoyEgsgEk9rKNDtW/Ovs++ARf87O27eyPJKHzg1h+wrmJ39970aYm5gnp/dRdkPn1kuIn6eYvtNA4g0Nuc1s1BvYq+DCHhMrHnPPV/EEvZkxv4Dgv/H28LQbAyKX3QddnmVTv2P/ZxrViJzWUFqtI3LafZnCFynmbjOgTlW9PGeA2BQ7ZiXp9iW7ulbfHfypO9LxvvB+WWH/OKZdyOD0r/fV7AMAQo6SWEkD0XF2r0IZ9l3sk1BJs216XinCSLD+GgkZxW7/M9N3MAdSMUBDqviuBimxl9UbFDb+S8H9ahbdr5eQH3I9PaG5Wo0wMsqo6KSigzgpIWd3M+O6WrBhxBae9qYP1pYbeOHsI8iUJ5qajLQNnG200UZTuO6mIRz9u92pSPHAAPQE8QWCJc80/r+XGn5v+l6cm0tjR3oUsTTTPkq9GowYUB4wwS8TWwZi4/65rZdVx3Fo/wZs331CaBLedoBRyA+dY4w6c8AUNyK3nMlvM0aRX06gTqnIbdbFCJ5z2kIzwaX25FKwWszbpaLu+66GV4vhKK3Wfd8MTMswev1qsTWhodDLNIpivztghebYyM+XAUCdrT2HhfoXBO9+vcfkvyVPU6HZGAmnb90StBzTPni0sZRh/SGOXYcE2HeqUxEAgJajvohlbzvfv5ajCOVcjaGSkBHKWcgNKCCmDdWJbDZiEioBhLDYMR6BWHt/m9Eq1IIdTPRroVzldSksvDkzF4vy6QQA4N70vXhy45NY960H8Si24f1rDgMAHn/+TpQHTIQvKEJItILIJBFTEC4wDh5Zi8Sk56E6z/Iu3s4Fx/kI8ivZQxM/K4k4EDOmIDzD/pdfaUMpLI1c1AjhixSmZ7rhnX5wYcGnJUEIzdPAKUdonsKMLK3ffIrBUS0YQvMUcpm1+wRV1gLAEsx4px6hnIVKYvHh+L6+zXi4N90SojM2ZJ21KRUJsm5DzfqFhZq1ACdJtZpnvzXz4nOE5qwawcKnMJW07JvO8L4sBdelsOA5MwHHZpG3AUjQWqgit2EHc3edm0tj3bcexMlffxj3Hr8Xj45sAwDEpijUvIzZ7SZ6n2c3hL0EFoyEImwksXEdhX4NqZN+gVLaWQSyGnqG5nxC41CS2SoOHlkLZTnTYl7fuxHYVMT23Scw9vn1AIALe3T07FMxs8NG/KwkhEj/88D42ygq3SGfrQIItleYMVl8A0C4ykbFbQPaBRbLMr8R4MxPo5fZJEqrmWbDtZvSaibEyt0ehqijYRT6CXpeY9eikpRRceJxsqsJZGdg45qA0Vm/7mg1tAuZGuEA+DWWSgcRy9zOVOkgyK5wH/PUadbP/IAissnLFbatnVq4P9xmIdZ1w6dVcC2CaS7E00ZQSchiWy1HkR/UoOUoqCKh2NfY0GvHWd+8sTe2RmrsFVx4qAXbJ0jUAkEoiJ0bkJ+jHq5LYQEA1nqmlq3smVvUNGRHelR8P4ptuPc40zDuPc68JOd7UzCcioqlXnZBuYahxyVh4ATgW/bi9q2ncCbTiZ4hpnefyTD236FzQ77pycHsWtzuGDtLnTy2REG5i4DGDJS7VdCY6fyugsYMAJIQAFxoeIUCACEogsANiV4jJ4d3amH0GiAFRXzzvpmR2ikIBzdsVqoyrlsNjPELGTjroZL2L3OBZIbdtpDHS24EaBJWyO3nQgZOsV3VdKRaYAS1aTlaMzXREwS25tcmZL3x1IAbOBtpIdW/taKx1MN1KSzOvrlMZOFeLLjXI5Yu4f1rDuPREVdgAMC2HzwkpiGlPv/N0/K20CzUHBMeNYncz0dwMMs0Ci4s5jIxMfU4k+pk657fD50bgtrFHjClAJS7KSKnNZgxKqYC5S44L63dkmZRDe/LCbBsUgCc6Y77khi9Bpv2FFQhHLi2EYTQHK0REqwdMJ2LFCQ0vMKhnqAIVVFjKung3yvpKnvJPEUlTWAkZVS82dCcl5VrFgCEgGgkKACAOpmruNDgQgBwBUFN/z02Cz2hIJSzoCecaYjHZmFpjUd7qrr/qRYC3v3w5UuFtjekjTbaaArXhGZBTApiWLA51dmmiJ+jkEu2qGa+6W8rLKjMspB+XRJ1PcaHo+gpWNAK/lR46gSbg6vFilDbvBTu3med+XevhsefvxOxKYrzvSls+8FDAIDD/+0L2Pnyh5Cf6YLkDKLajIzwmWlUD4zhM65qyNH/vIVSp5Nf8ecs90QH3EpppWPd4MRdighOg63v+NQhAMBTB7ZB6S6hPBOB0l2C+oJLSVLzEuKHF5nboUp9rn4Ael6roNLhbZXhpvjj+oftWfZj8r/U0ug7f8RUilBVHBMvnNMMqGmh881aDkgzUHIGYhMqQhN5jO9295E4DcTH3dFeOtOE0TyAjt99ONFcPzxV5EIzGpS8jtCMBnUqh+JtLN1ffrk7fve86m5PxibZgocaHk02LkxUg8mApMAtlNm8JoRFq/CGYfPQa71KHaOxMEihzL4DIkBNx5bF3aNqXva4SoGdL38IL+/8N6w9+SDsmGMTiBug0Tph0hX28hAnAtGMSML6X3by1IRnWDsA5IcIws69y2yxEJqUEZ4BRgvsYaZRC3etGcbe4hak4mWUIkxYFJdbkAsS6CLDtesm7HX6bYUk3xy+nJYQnmPXOLOa/Td12kZmtYTQvFuCgQsC6VQE9lq/wJhfDyTOAZVUlXrdwjkQw6xJuV9JsqpxWtYhYmVZP3PL/YKs85iNYo8CueJ/uSyNILvC3Ta5yIS9elrzTfWKfWog09Kb7l9Pa5B0C/mhMFIVC5Zau998vzsVCvOEvZZ7DWxNQaXbfw1DM859jCg1bnRJC5haXW8Jexuh92Btm7eClxfeVHgLodjnGi3DFxTMbmcXNnyBXZL8TBfWnnwQp37tYWz86qcAAHa8eaptqVNCuRuo9DFBADChgKOyEB78O+W0ZbZYsB9dxRpv0fH897YDG3TMH+2CuYGNMsnXNOx64BBGv9p8Kb9WUOmQUU5LzjITAlwwcIGQWS0hddpGOS2JNm/dltQz7KWspAj0FIW9toQcIvDm17DXloD/aK1v1UIAALQs9QweklhOnOcsUol5r5IEcl5Hz8vs5Sos4xnEKKJjS3PpetnD3Phd7FOF4ds1iGt+A3ScMYGJ4QqayKR7jUp9jftlRZQaozYXHkrB8gkSpWAt+WW/5oVFEFiWKG8GKMtJ189u2vbdJ5D/MquiXi94xs0VyXgUvc/LKPUSYcyUdMCOWdj41U/h+O98EQDwB+O34UQxuL5k9TQkMcbIXOEZ2ScUEmMmEmPA9C0K4qPsWPkhAqUExF+SML+JtSVf01AcoL5vANj1wCE89+R2rCm3llJNoEGmc4DngmQjUHiOaRap0+xacyHCBYUXXGhoOaDY6zEiZgjwShTRKSralTKAyShQbp4rQ01LCACOStIp1eBoFtFpE6GshEpSEr8BbLStOCo7z6qu5SjCczYiFwksR6GgzaQEDFDbw3MWJM6pcF7e6KQhShIqBRmSbkHJ69CczI/lZTFosyWYsTiIYSE+zu5LJeVxd572HITfN880RC6ZQmB42wAmSLiWAQCSbgbf+3b5wjbaaONS47rULLxFhRdrs+AsQ26jyK4mPqamNiNDiRuw4wb+YPw2AMDn+l/Ce6LrgjtVZbPIDSpCo6j0cckvg19y1uaOIoVVFkvb5kz3iwNUfJs9BorOaP/MyHoYK/TLZrMo9qk+rYFNLyTPctC6Cy9LU095Ry0i1vWU09SizcKrLQDVKQQBfm29dgw9SVDpDkFPEtieOhuMA+EvLEUWabMop2Voec9582mJ15Udk302i3JahqRHmNs9qgmNom6qwQCbhRVRatzlHNXtVkRBaIk2i2si6jQld9NdofegeDdjT0ZH8ywtnRNlCgBn/vebfVGoPEEvjyq1E2HIE64j/tifDAlKePEbLDqPh5cXBgl6X2rM0wifmRXGTF4hnUZD+OGPvo1133pQbMejVX/4xbfDiLsXftn+2gQ+zUC5yAQbDQf7+UnZAA2rGLu7E7n1rnC7fespRicfdl+ITR84Lpa5Paf3JQojgHY9s4M9Bxv/ZXHFi7z9axYzb+1FfrnbF04t93I4+Hp4VMPqb00urW8LTMEm9rh2oCC2aM9rJkIzXgaljNlNIQw82WISmmoExHtUY/5tKxCeMQACwfbs/GlrSXdm37miJqL11Z/+I7L55ow216Vm0Qw4Jdylg0NkuIqNURT62SjCg8I4hZsbpeqRDb3UcIDRxY+NDKATQGTKFbxeQ5MXQSOB10jFhYUd1SAVdRidUaizRUGN1i5kYHQbPy/JAAAgAElEQVRGfYLg4JG1glLuExDnhqC86bh9nBB442gEaomi1MnsJGqJ9bn/ebZZEAWbMyqr2Z5B5Cl1thgoMIKo1NN3uttFTmu+UHgzxvrFBUfyNG2Ojl2VnMZLruKBYuK3qpG22E8QHaco9hOk37RR7HM0KIcFOn2Lgp7XnPPMWpB0C6nThqBiLxbV5ROq7V8AizcpdocQnrfFC99qcuVqCjhQv6hzEG5YYbEQqinaXFBU58UIgpfpufXFB5xI1VpNoJGgqLZiV8MKK5CKunhBfbknyiYOnRuCmWUCr2doDtOjaRZ74smTYWY1IE6h5IloOxnZALUEMd3hWgYXGvX64v1eLPiLzF9gdcplhXq1CS4o+DZALXW8HhoxL6mmBmoX3jauUVghUkMl99HGkzLU5uohtwwaUJPUywjlL3yrIiqI8k1aiDptGzjbaKONpnBDaxY85wVP1++1WcRe8qt6fDqiLhC5umHHOZybS/vyYWx98QHHXkGF3SJ1stYmUk2S8a5X/8ZzPQTld5CKOnA+jds9ZRVXpRyf3PkIDp1n9onbd5/AwSNrYSYhcmekqwiWXKPgeTSSbwbnyWgW9WwW3ikA3yY8k4DRW7ttUIBapaLVTCNa7pteGzFaD2aAhh+ap74wc0m3UO5WEcsvrV/N2Cz0BGEp/KirITQqRNUsSPP5lW9cYcGDzZb3BCfmNXgAj5O4hqfK49OQ8Jng/e5Ij+LYyIBIkrP1xQdwZNc3sfPHn/IZOBcKIffZKQJsFtxWwW0XdpRNOeSyIZa9Kft6huZEYBrHmUyniHz1/sYjWwGg3OUk23HIja2EjQehkc2iehoCwJeWj4fEe4UFXw/NNRdC3gikZPgERHUwmHeaEWTgBPxzfB6YdqltFkEICkxbTEGopQSXXRPekKTURXep90BavwoAMP2WLvT+cATUNEGL7KWsvH0zzr5HwcavzIGqsq9KmDSfB42EgBnXkj/5gXWi9ujaj7ARePqv1kApmDBjCtRM4xukXpgV7knuDqXhECbf1ePbzogTqHmKl//ii3jf8D3I/i0bwSNjiyvWIzlV1aqNbxxEN0A1FfPbuwO9Gl7bgxEhYp1vu+NTr2LvkS3Ys/UoAGDvkS0AgFXfYf+JnFmiN6SJUZKjsKlH0N8XglKyEXtzeuENG2EBb0hpc79YlnS7JnRc0m2cvdd190bHCPoOFKCOBsRctIIm4jP0df2QdAvE87rKo7U5NRvBGqytj/vzo19CpnjhF9sbouUvjxA04sTn9eBTj/cN34PH1/8I78InLstxq6GUXMYq4AoG1s7b5BoDpldQABDLxx67+Qr02g+54h/lzIgEpWT7BEj1+uWE5MkmVS0oAFYVzUsNLw5S0IDtLk/fLMEIperis3t5qeVsZ9dpWj0zxXThngOzNb/lBlWs+r6O47+bxsYvuBKVaxikVPFV/tTjRKTp5yUFeQGgQ/s3YP2XFh4NSFVZuup1AGLqkf3bIbwLn8CzX/kyAOC+t753wf0HQuf5H+vzQNhvnTWahREhwstR009n23WPWBjBpprfb/q71/HiN7cjceDKlS8EumoEQb31UreCaG5x3BV3Z41H8CABUY2BZ/zP5snfTGP9Xy/RZtFEkSFbY5Tx83tcJtzQw2dbPtRSBE3bG9JGG200hWvDZhEfpLsHfxP2OSdHg01x8Td3omO4JHIASBMXhQ3jxGe3oeOYk7osSdD7SqWGsxAdzQu6Ny9S7C2sG/9PpnIe2r8BkUnCcmYCIpNV//MWzIiEUqfkBIUxCnfPoYIvmi80U0GlO4ToOeZG4cd64oXvY+fLH8L8SbeQrh2zcP9Olq/isZe340/vfAIA8I/feD/Cu5mmE/sKGzlmb1KQGrExtZMgeQpwkm6hf7+F8d0y4meJ6BeferD+uteB585QSjbm1jmcjNfYeVphGXLZghVm24fOMeve0DfHxf+5PSN8ToO1KQ/5TTenhjYHaHfP4OIZl4xAoxa6XlARcZLX6gl3LJq9pwT1KDMEGltYH7p/EEZonvWRT0kqHQpC8244Op+aRM9mceJj7rWUyyzjllx2gtUAlHcUEd/vkNccunduiMDYUoR0KoLBn+pCe9ATMqZ3EqhZIiqxdZwyoOQM2CEZUsWCmfAQunQbRkKBNseeR/5cEt3EmQ92w0iyffDEyt78pOEZ4lv3Qs0S9L5i4OJW91jpE7UaEPfCqJmy8IyNvrcHSh5QC1QEyMkGywoWhMGfZGBrCgsqAwtxP/DaF298Buf8TfziU5jHZRhRSVwwAIg2GZS53XEvIqsxyrTzVpY6ZZgR4sR3OKUAPPYhr6cjKG0dz4fxvuQ9vvZ9F1hN1Pt3HsIbRebSLa42BGO00MdeXisM5PslmD06slBh9jgJcfvYcmJ/rVKolGxEZmvbAAjBUg257O/7Uwe24e47WIZzYQTFFuxxcmu40LCrdxTP5P0W+UpKA1dYvdGndCwihAQdYwI5OukamXk/QvP+PnntGmTQFfY2WJlOG0DJ2R/GIiiKFIjOYNJBoR2NQu9g7WVHmJa6JJFPJLeafXe/akByyG9S2ax5OUIVC7IoMuRxe+sAN51WCwneFp4hUD0eDSPB1nOrKSSTIjTnJBhOE5RTtVOF2Bk2CJGK4XO1mnFANtg3AJh1ipeG5iikol7jgidW896R61ZYLBXVafp7huZEQl0vKn0WwjPBVb4aYf5kJ96XZEZPHoj2W5378aFHfx9SXxkj+W4cG1smts/morhpcAJj6GLH7bagzckgRSdArej2gRRlKKXgPngNnI3aq4UER/S8jL1RJhT2bD2KZ0bWY8/Wo9h7ZAvUKHvQ1vXN4PS5VULzAICbVrOsV6dSMYQy7v7K/c6IOCfBmGUamVqu3wfeVq9/1aBjESFEwq9EUd5RhFlSEJ10g8KiUxTGlhK8gXv8BQYAyTEPeQWF99sLr5DgkCoQhs/iIBWaRHjGEVDdQHiG+jWAClu3NAmSbotsbJLO8lhIOmBrbps4rkdQ8NwXQXkvQnN+DSM0bwfzOa5XA+fVAg/C6hmaE8lz6c+7Ue4GQpNyQPRo8/iD8dvwuf6XnOXdAAB7Moy/eOvj+PAYKwd/80amBh0bWwZlgN3g0IyM4gBFaEZGeYWO8Dn25DjKyBXBMyPrcdeaYTwzwsoT3LVmWLQbK3QhIABgKMau22hmFYoO0arcb4FG2DXTzsgwFpcVT4BrJBxksOTTNvg2ymBJBFuRwRJwgv3P1iSUHF6JHaJudu3FBfAGwhUUjKTH2/iyWmDfhWUS1AJFuZvC1iSoRSbMS45maXsCYO0GwbDVUw6vhsKXLxXaBs422mijKbQ1C7ApSTXTsQMsZ2Zmi4XUUa6++mtyAIymbcZkaBf9++R5O3+rc7/QKD7X/xIei21HZ38Gf3nufUgm2Bz+9eND6OzP4L6NR7Dv2dsBALO7DCRf05Bbb0GZVlHpZvtLH5ZQ6XYNf15Uux05R8HLVVCqvI/cwKmIdYjpxl1rhvHK1JDQLl6ZGhLtTz9zK05GXSPO0BqmWegpioSInJZRdnhO3nIKvBQAP3YzUIAaLQIArNkQ5E6eP9Tdhhs9C7MhX07RyEUn61c3QbnbPw2xmwiUI1VqO9FNn2ZS7qZQs0y74KEDfFnW3Voisk5hqxCFiCodjcdt6uTi8B7f1pimUvGUDuCahpL3ax1qgQABAWpXLAcnIeQMgBwAC4BJKb2NENIJ4DsAVgE4A+BDlNJgzvUS4PWGKAWnnkUL7m5RzXz/BiQmCQ4lnXR5jjckMsu8IXBS4TGwy9UoWpTj/p2HsO/CGnzo0d8XbY/FtuP0r3wZX8oM4K/33Sc8I0/tvwODG7MYyXcjNunkjjyhIT5uI3uLheRhCbO7WHtskiJbkFHqhDBmeoVGbtC9pV6jJveScKMe94ZUI37bDDKO0ZLbJJ4+eivefderePqZW531LoTmCPSVgFHUxLakKKPzHIQ3RK5ISIyyl2DqnQbkWTY1sDrZcrFPFd4QjkqH7GurXuegYxHYERtSSfJ5WcKvsGVeRV2fk5DZZEE9FQFgIux4iLqOyJjeCeeaOC9sdwhqzoTt2BF4SAA7FxtWSILiFFri3hBZN4WA4OCekXIXb6ModxGUu4j4Tc0Sx7BKYUYl8WJLOpA6U2tb0DvZcymXVCjzjkdLJTDjzHYRZLdQ8q7hs9whweyopaVTufnJxaWYhtxFKb2VUnqbs/4nAH5CKV0P4CfO+jUPHsJdjXItQ7YlSH1usE9nfwZfygzgk6ngFPi/0ntYLFfS9eeb3DNyudHdmxXH41pFveN392ahdJdqMnjrSRKQ0YoJjKXA6jSERqF3UOgdFNZsCHqKVmXoYjDSfi3M6zm71PAKjoW2C9rWiEo1n3pQ8vXPxYwHNi8al2Macj+AdznLjwB4FsAfX+qDLNV1yqMwtzuRm2IqkmIekdKxbuSH2P6mb3FT4fUwZWBB1+ljL2/H/TsPYSTfjb946+MAgL889z789b778NcATv/Kl7Hz5Q8BANbeM4I18Rn888m3o7jdGblKwNROQJlWMbvLgDLNRuXp7QSALjgUXiglu8ZFyrWOoO2BWq9D/qVuYBNz02XyYeEJyeTDWH8HYwweOz2AwgYdexyDp0AvsP+l7bi4mWkx3BMCAJERDaU1zmjsaBhBrlO5Yvv4H9FJ9yX3GjhlABg0fVOT8NEorDCFPmAg5+QXsdeWkNofRX53EYCKufWsvdxNkTjNXJjc3RmaqUAqm7DDCqSyCanivzZKDoGuU66ZAIDsMXByV6mss2VvMFhhgCB2wcbFbQSSThE/z84zv1xCsbdWOHS8wc7T6zoN4lTUM3CqBSo0Ei+upOuUAthLCKEA/plS+iUAfZRSzuyZANC3xGMEojoHZ6vgmgSvXs6LFFfbLMrdEFm4W7FZ/OmdT+CN4gCOjS0TXo9koiimHpyHAQBrv/Mg1rxjBncOjOCFf2eu09ktQPIUs13ETmgoOKUAOp9VUV7BphvVgiGIlMVtFnx6Ep7xB9BV2yzit81gRy+7Nq9MDeGVqSGQoox1q2fw5lEmYAmYtwZbITwlAJCKMy0q4VyvUMbtS353EbLzsvMXvNgXDpiGKAjNo4aUBfi1EVKSQUsKSEmGOuc8C1uKUI9GERnRhPs2F44gs8kCZkMAbMQm2L60HMH8JgBwXahmQoUCwA7JYp3DJWW5NgGACQ0vt0KqsE+5mwqtVKqwZW/5CiPJ3KYAha0RX3Gh6FTtM82nIWqGQHLeea99gmsRRowI74lXkFTSBKnjWg0pq5VpyFKFxdsppWOEkF4ATxFC3vT+SCmljiCpASHkkwA+CQBhLRW0SRtttHENYUnCglI65nxPEUL+E8AdACYJIf2U0nFCSD+AwDhaRwv5EsDo3q0cNzomoTi4tKKvr+/dCAAwB0zcvvsEXt+7EQeza12eBSLCE8KnIxzV046gacg/fuP9KK5mIyHnUbx+fAhP7b8DAJt6rP0OS/x76tcexvpnPwZ7Mgx6h8O4HJYxu0tH8jUNehqibsj0HRbC5zSkT9aG2LNpSPB1qd6+HvnJfrwLzw24hpryCh3hGRmnf7oKm955BgBw+qer8I57D2HvkS2Ca3Hs9ABmihq6MhRT72TnzacbANDxTEQwOuVJZmhLnK1Vi6MT/n5pHoJXxyE/4aDYJ0EfMABHs0g9E4EVAua36zAibPQkAJY9FsbFrQRWCJje6UThZgl6XrZRWCbBcKoPatNM4+FkLK2KlKVkKpAqtbaWjjf9lc/nNhJ0HaaQnE1tFZAMQMu5+yssUxCbMDD+VgVK0UbXEbZxZpXKjJFxV3sx40D6Vce14gmzT58wkVml+GwT3DhaTskIZ7yJeiikTNFnpJQAkBYC/xYtLAghMQASpTTnLO8B8P8AeBzARwH8jfP92GKPUQ/eimSLnYaYTgJbBc5UZFMRt3uMnKfRLQhZPJKzsIpdWK83pN40JLx7BmEwZiZHZ38GgxuZ0XBNfAZr3sFcE+uf/RiG3/V1fCkzgH96+P3sHAcoYic0URKAJ6dJDMvI3qIjd1b1xX6wbaRAbwibhrAXl8cdVMeG8H/N7jKE69QoaujuzWIGSXT3ZjFdYE9leYUuBAUnYw1tncNoIY3RN1aJl7riURjnN1BwYhKfTuQuBE1Dgr0hynyJTSccSCWJTWdKChMYAGbTbEpCSjKkC67N4uJWAnttCdaRMDoc3VdPAPPrJRhJdxpSWh5rwhviXHPuDclXML/JP8WwQxTZVbXqvZpz24qDFHpChR2iKHUrKDuuU+4OlT3+Q3kOqCxjEk0umcL2kBtQaghbuQHHYxcHjJj/9dbmkjV9ohead18vxRvSB+BnhJDXABwA8ASl9EdgQuJuQsgwgF9y1q9tnI/4bBjc+Bme4XRvRt3lZQhbwU2DEzg2tgzHxpbhzoERAMzrwWNEAMbo5F6S8BxFeI7VCgnNOt9zBGaPAbPHQPgSs/Iaobs3i5mppPCKzEwlxboyreLkZLewa3DoKQotyz5e2vdSvR8AIHdWxIfvz6u9AK7XQ8sQaBkCa9YlQcg6o1hzFiV3Y15KGEnmRvXu27ecYB/uBVGzBJJBYcYX571QqjIK8P1wO8Zi9xuEayLqNBXpp7sHfxPWOVZ/gdoU5ft2IjJRwoU7mURd/sibgGXBLpWR/5VbkV3JXly1QJE6xaT86Q87dS7f0DD0756aCk4eA+rJEZG5m01Dcssl5Ffa6H+epZvjvvE77z+E0UIaY4+uEqO7UiJY/a/BtStEhiheZOiOFSIorOhQuKMXqOBRTG9XkBxh+52+w0ZiWEZ4juLnf8NKJa7/n5/Cp+79Mb745C+jb9skCt9ncSTztxqIjqhY+d3mS/8F9rMOSut6UOpxX8BSj4TINHsB59ezsaVj2Mb8+uDCyJmbDfzqzpd8+3z8yV1Iv0lR6mb/lytO+YEftlAJ3jCR37Hc39dOWQRkAUBswoCtSciu9I+oPYeKmF8XQcfJEsb/yJ2OaT9kqg/PSTL0nTMLdoMG5MQobV/pS5yTX64hfl6HZLA2W5UgGTZkTxBXpSeK0HQRc1uSSB/NIrOBPeeTb3Pfx85D7lje+wPGC/LmvjA3LEdpmT+QLzLBjMxGUoOa9QSNGTak07Uu+xfm/gMZY7opX2+b7t1GG200heuS7p1dKbuqpMOtsCIyWMAyA42GQYpl9p2tzf4054ySZowiflbChT06SEERdOinDmwDjVrALbowLhYHKGhYhR3VRA0NXgBIG2eqOs9wNXuTAivMokdDTtTq7C4DlRMaKmkKpcTcowCzQxQHKLK3GFj/P1nF9uHf/CLW/Mfv4dZdJ3H4/CCsW5na3fGqivlbDZi9SUgV/yhnh/y3U6qYsEOK+AYAOePPCE0dN6F8kRnQMms16ClOQaYIzQMT77QRH1FYQWOw9c5DBHqKiLbiMqegdMTEE//5VgCAnqSwOkxEKgQzt7gahRUCrA4TvQcSNfelHuSLOcxt8JQfTAJaFlBzFNk1vNaHivmbKGLngdgFnlODILcijOwaguRZCWQfU4VKyygKWyii45KI+KQdTfSnSjMjhoncoALNeR71GIFWoMis1kRboU9CbNKGWlB9tTtsNQZZp7AiqtAowhMyyssshCdkFB2qfHiGAqmEOB5HpSsEyaDIDimCxp4fclysRVss8/X4TMB8JNMa5f66Q2SaotSzNAZe/LxTwXw5QW6zjp59KqPkOj5zpbuEu9YM4/nvbRfTEI7qvAA8bb8XqREb+X4J2pws/p98jVG4AUa4Sjqa5ewuHbETGpKnVDzw+z8GAKz5j9/DyH/5ZyYwbhnByUcZn2H+VgOhcQXKfG2FG6lUaxfgbeK36oe9Kolt4ryJYoU9FpEpoNQL9LwoA6CYZxUG0POijOldFuIjCipOnojQvGMkVMO47wMvAAAOz7FygKfmh5A+BnHPwjMAxlRIudZS2SfP+I2hpS4JRoKVdwCA+LiFyEWC7CpgbpP7UqafrUBPhGBrEuidbL5kZSJIvRSCEXejOkmhTk5CLwK8B7EpC5LBr4PLgeFTk9A8M5gqRQNhJ+dwuSeM8HQZhd4YYgB6DrD+zm2mUPISysssdBxxBrQocdP+e6ZBWtZAYVlICAoAiE04rNakKpYBgBg2UAq43vQGz2dR6iE1mkWr4KXz1CkViTc0zOywQWMGIqfZk1OeibBkLxv8mgXA0uXzCmE8Tb9cNcpP7SQwe3SQoiw0i9x6C9lbHGu6w8wEmBApDlAUNhj44pO/DAC4dddJITDWPfsx3PsbBwEA+752O2LvnYD5Y9ey7dUwgrQLbzvXLGhIBvEwFLnQuLhFFQLA6LSgzsoww6xodOoNto/cCiYw5jdQIST4f2h/uVazyBIU7nWFmw2gNBdB/z53vs37wvvFNR4O+aKB8bd7AqMc74OWZSxMAJgcVBCZBuQK0H2Y7a/UJWFufQhGgkApmEKzkJdRmP/LPIrn3OtIYxEmTFXF/a6GI2y9I/zMzYovt4RSAKZ2qL62yCSFVlBRcEoiqnmKQm9M2Eum73Bf2uh5Gdq8LASQlqEi7T8xTNGHwrIQzAiBUqIi9L7U5cQ2XbRR6grDiBKxnh4PKB1AfgHKFy6V2594gwmA3GYdZkxB/KyEcrcqSucp3SWk4mXMH+1y3ZdOTES1JuHVMjiSp4CsQzkur3BSsU2rSB5mN4czMwFAd/I8xE5o6HgXM1wePj+IW28ZwbpnP4aT7/o6Nn2FTU/QR5EZ7sGm+eCU/UHaha+dP+x10uLHR92s4aF5pjkoZSA+ooipRmiex3tQISQ4QmEDFWY7xgc3v4rDc4M4NT+E2M+SKDh0Gi1LEAECNQver6D+8eBBBiqEBEf6TRt6gsBIEFH/xUgQpE+YmHPcoCXnHMLrM6A/70AqDxiOdi40C37soGsUoFmkRtwXXRuh0GMEsUkqanRoBQlqwYZSsBBxWEelXhWRKQOZ1Rok0xZaRH4VUFxuQclL0Dy3OEizYDkw2P+4dsHzYhhRCZGLFiKOS18pWje+ZtF5LPihDtIsuABoBrnNTgWyKRXhGYL8Shs0ZgrNQn0hjlIkDtOrWTgvfzOaRXYtEy6kKIvENZVuS0SPKtOqoHAnX9NgRoDCBh2q4/WwbjVw8tH1uPc3DmLTVz6FN3+XeUm2f/YhdN8xDbPj8mgW+SEpQLOAT7OodLAi0MVlqNEsrDcT6GQeYux96a0wEoAGwHh7Fh9Y45Yg+O7Lt8FOtKZZuPFAfs2CY26TJDQLXsvWCknI97v76nqN7aM40YHCSrZNbAXbCf3+4jSLzBqpRrNg2gQRbZFJAq0g+TQLfbUGI05gK5IIl1fyQHK4drQP0iyMqBSgWbjCo9QlezQLCeHI0jSLtjekjTbaaArXvGYRhORZy8ezAAC5ZIGfTm6zDvLvTj2ROvUgB/Y62y4nHp6FinKXu01xuYXkaxp2PcCCv54ZWQ9SNqBdyPj2JZeNGv5C/34LBSe1G0+Flz4sIeaMQNPbCTqfdSJJ77AYz+Koiqk7/V6PfV+7Heij2P7ZhwAAh/7sC9jyPx5CciqYZ1FP+vN20c865UF6Xql4eBYSSj2E8SyGJcw7MWOcZxGdcHkW0QnHeDlrY26Tm8eBI/1oHHu7mS1DrlCk4XpgfMhXfXMYJpY/7VWZ7RqeRdcRl2dR8GgTnGcBMIo4x+CzFMUeCcZZdhJk/kzwRfGA8yy8k6/eVwxhzEyddngWr7s8i9Rpl2eRdAJ1vTwLuWRg2QGmZWaH6lSBz7BrRT08i/hoSfAs4g5N3suziI/6eRY0F3DT7StA976aqO86ZUi8oS3oOr2wh910dUqFUiAYfxsFjRkgTnITNS9BLkjY9cAhPPfkdnasFTpoWA+ehswxOwZ3nY7vlsU0hKPSDWQLsmP70FFewdrD5zRkb9GRBRAdZlMW7vWIvXcCmeEedN/BzOhb/sdDOPq/fQF7nvuY2O+lmIZITnHf6R0h3zQEsFG5oMAKU8iO3OWErMxmE+osO7/MZsegOCML+rSRYEZObXUOk30RRNJOHVcA9605itcPbBbHX3gaksPkbf5zM5I21CwRXpZytwa5wqjcsQs8WS7BxS0RFAaZ61R1KtUVlxFM7ZSgbcmg4Bg5aUdiUdMQrzGTGyzL6ZA4Fi9xqRVC0J3n1YgTxDoSKKcJzGQIM1vZfTejbjxMuccVSb1e16lz7PxQBKZTPIpPNypJT4KbZW7/lRJFeomu02uCwclrndq33QQAUGZyILmCr9bpzK/d4qsjslCt0+P/11p0HCOirggQnOEqNMN+89YCAYD44fHAWqfnf6UXmz5wXFDCeWatnldoTcaqxJjpa/OGkEdmLRHHkT6pi9iNnp8xhqjZm4QyX4LZERHfAKBMZWH2JrH3378u8mHw2iTeuiQAy6mhTSlQCgRr72GGhMl/WQ2lTFHucDkSABBygo68PABvTQ9ez8OLYp8quBMAYIUIUsdyIgTai8KaVM213vR/v+6rTQJA1CcxI2y/ZGUBRlFD77MqYhOu/YrXIvUyJ42EIo4hrnlCFeHu0dG8Lw8Fj7fQZtkzNvxAComzBMU+io5hVnMEYMl1IpME5R1FdD3JRvLwrCX6IJfdPvASg7Ym+9q869VQM2XYmufFDsg7MfzbLLgvNQxEp9kxwpO1Vesk3fTty4vc6gjyyyVfzouRR/4epfHRG7tuSDNgBjGWHAcAij0yotOW+PaCVzJfKM1/bj172Mwse7hvd+qOGBEZgCTKBAbV6aiu6+Hdpjo5TTXhqhrefBje2iTemJP7dx7CYy9vhw5gLOsYRMMAQJwRiQqBwanpHadqPTty2aqp5wEA0WDmeyC8LzFffurANuxxapTshVN+wKlP4s0DCgD7Tm1Hathv7K5OThOqWDXp+xWwpDVAbRp/LiQ4yGAJxXIE9toS9Em31tCyP7cAACAASURBVAgZLKGECLSjUTG14Ch3ykgfWVpZRVIx/B61OpT8xGnnmE5dkfjx4DySQd45ADBiTOvw5rmQgjcN3m/zm7bRRhu/yLihNYtGCNIgmikeBEDUGGm4/yaL/SzUzjUMr6YhVUxRxAiAKGTkLWIEACN5Ny/FYJK5B89GuqGUKZRS8PSzXnGfRgWBmkFQwZ7oeZllQAEraDRaSGO0kBZaBQBR3Mjsr9UaFntcjtqCQRrsta624U3ZRwZLiJ6IiLwVVsidAgUVHmoJCwT3AayIUXjWhhkmrmbQxP+8CCprKFntIkOXDbwg0fQoY1KtSs2iZ2gO9OfdNVXNrxR4ISNvESMA+Iu3Po6/xPsAQFQ/S5YozDCEYYzb9XlkbNdRXFF40/LxkgN3eXJ77j2yBXetGcbewpagv19SeHN8FvvqCFNPOUVv0aIrBbVoi0JEi8FSCg+1hYUDbq9YKM1/ddlDgOXt7ACglqgQGAvV9fDV8vAsc9ghpS4bE3DrkgBubRJvXRKAJQg+NrYMZl4Vhs9nfn6HkxPD/9BEHe9BK7U8giAVg/vMk+DyZXYs+AQD4NYq4VCjOssDWpKbquvRCIRSnxYganE4bV5NQnslimqnuxUi0BPu9dFyFiIXbbGfpfRrIdghlnHL95wEeWsWQLV2QVsY325oYcG9IbyuCHcqRactX8JdjmbqgSSGlUBviFpi3hCeVavUKSMyWzu94B6QxJgpPCOJMTehbvwN//G40OCuT8lp43VJAIjaJN66JADw1/vugzalIFog2NfPtg3PUShlCjMc7A3xeji8fQ+q32FGJF8BH7lCoVYVZhbbOslw+TLAkgNzbwjPXt6x5SLmj7pkl3ff9Sr2HtmC3gOSz2PFM1d5R3orJEHN+VVzb7ar8KQN2SMseBJcr6Ez/EoUpT6KUIZCP8V+N9I2wuMyMpssEIu9rDzxb3jWEvtZLOSSNzGwGWigtDQgu0qCrLvZzoLqgDRCdX0RJQ/YavPSom3gXCS2rxitW2vkSoPbKLx1Saprk9w5MII7B0ZgBjB+rya6e7Po7s2KTGA8szgH1zKCao9cDugpKrJwGWkbRtqG3FkRnhEOS7s6U04AC9YSqfu/qniqVjNotYVFG2200RRu6GnI5eBZ8CmIl2dxJtMJ41i3w7VgaKYIkHebal7GQjwLXsQIgChk5C1iBLBCRu8bZh4TL/+i3EFQ6SQwSxBekewa9igM7Ksl+shlSxT/8bVXWkickjNqlvMvdcPa5LJrb1p9Ac+MrMf6O86KRMDPjKzHnq1H8VRxG3perlTts/oYtd4PLxdDzvv/X82z4AZOeVZFbgVExTOA2TNS+6OITbhENQCYW69i4KfBEcDNglRnDA/wcsg6S+hDbIgiROlDLdTrBGDGYzUGTh4G3wxuWGGxULmAaqHQrIETAJQ3o0CcXWReyex8qavGG9KsgTMI3FZRz3WqTUXw2MvbRdtfghkztSn3lr5v+B48vv5HeLmi41ef+jQAoLcMlNMEoVmHxdfJ63zWF5Lc6Llk42eVgVObA4pnWVEnBcDJaDfo2RiGPEZPejaGZ7AeUqk5JbiREZRqSqCbk7fxKFFkgPIO90XkQkTLUp+NRE/IvgJDlwwBhsvwDEs0TCiFrS1+QhCa9z+TpIXk+DessGgVIsV7k1wLJe94PZLAmUxnzYUM4k1Ut3nXq39bSLNQCgTVZjAzryJa8Auslys6doY0SIXgF12uSg7VCneiFXhHfL6slCiUktvfclFDuEQwWkgLzUIpEZSLGmQ05kw0g2pBUb2u1EncxWNi5Ar10ctlXYIdIleEZyHrfkHV7P9q9lOlSQSXAAvGDSsseG2RenVFqr0hzWgUAKu6jk1FX+mAuUwMHRHic53OrdMWFRsSdii9Xi9IkDdk7T0jgsI9mMzi2Ngy5iHpXyNKDuy7sAa/+tSnIRVknPq1hwEAt5x5COE5inKaOC8re1p4WrfcStcCurjYkGDXaWl5rCY2ZHaXIcoMZPJhqABWv/MC3jw6hGNR5tFRN+WBogZtnkDvcb0OlyM2ZH67DnlWhR2xkdofxfx2RxwPGCAlGRe3SkjyfCcFCi1noedlIvbD+nV5YkOyqxxOB3G5EmZPbR2QRrEhkg7MbVAExdvWAOu5tjekjTbauMS4RqJOO+lbpD1QVrAEr/mblyG2/6SoEwIAdPtGjO+OY+jRC6CqIvJUiBD0SBh0zs0zkX33BihFG2ZUwth7mLRf/zUTUtmAHVZF9Wju07aj/ixbytkpwIk65bVAEA5h/vZ+GBEiKoRxXsX2TzM+wLpH2LGIubjrqo4xooIdj4LoBqimim+AhZLb8Shmd6SFG5RnSzIjhBUo8rhHuWpddsg4r/3xF7D6iU9g+8YzWB6dx/cP3QoAWPuvzjQsW2vgbAVS2QxWjwPm4bmNHagka8crr7Yi/l6yER/O1LS3hAXU9uzNLj1ezVsw4n5tQM1bmHnQHfXJvg70vlKuyW/SKhaq5QIA5dXdLCeF4moCoTMX6/8hAPqKzpq2gwf+CdnC2C921KlSXFot1HownOmG6pnrlzoJ9h7Zgj1bj2IEmy7LcauhlClYJU84JCuXcCUERAcRQoJXMlv9xCdw+r4v44Mn78b5Ygd+vOdzAIDf/cEfsn0tUVi0ArliI+RJi2eGCJQK9QmQUNaGGboynAY179prvIKCx4PIui0S/gIAvXMe5vEYmk/muHhIhg3JsAADsCKLf23lYpXdpgVl4YYVFmZUaigweN0PL1vOCisiqU0jlDqJ0Cg49mz1B1Vwz0G1wTDIo+CtOVqdJ4mGZKZZ8GQwedZW7iAivoNrFQBjZnJUOl2vBxca2zeewQdP3o3vrXsKJ4wC/uQsq63KR/Pq5DmAv/6IF4Hb1rl+QfPoSlIWDFC5QmGFiFi3QnwbCVYIUEvB+6g5fpWx0fsfqXoEr9J2jLjM6nhoBLJORdJfl4ClIO/k7ZQrBBhOQTKMRdGuvajW7oOKFZsxBZIu+V5uqrTmnbIVCYj6+0ql5gXxDSssFkKQUGhGUACoERTB+28+erNRO88g5UuuW7Ec7aF2VPBa9E1PP7khc3l0HueLHThhFLBBjdX8v54XJqh9IY+Nb9sAj4ESMN3gQkOuuOtcgwrax2KOK1AlPFwNwv/t7svNpm2FKBMYAftpFc1UMpd0m+XSoBRUlZr+n28fps3qh3jR9oa0Pg3hWgXXOBpdGK/XQy1RlLskMQ1x9yc31Cq82kSQZsE1ikbwu/oCBEeJotJJIHvIV98/dCt+vOdzQqP43rqnAADvCH0SQLC20AoaaRb8xV1IQ7A8Sctkz6yoGc2iYd8A/4vNNYKAl51rFYBfaETH3XbylnnYP41dcs1iIdiOsFiMZiFXC4sW0PaGtNFGG03hmtIsaIy5GOJHp2rGyXJPGAP7chh9/4CvQrrI3l1VQMWMSiKx7+pvs5Fj+LcVAAoSb2hY/gN/Tjhu0fbJ6nKVsa9cwcwOiv7nmUYBsCrsZgRY9R3g2GM346a/ex0AMPpAf8351RC3GvzGM18HFd2R8kWEMkmRCg9g+SiiF6iIHgUYhZszMzmPYu2/WvjdH/yhsFFwjeK5L34Jq5/4BDZ/tnFSnwVRRyWXPaUBea/VrjBMT8V2PUkQmaYoeiIjtSyFniTIrJOx7uDS+hZUAd0PN9q17MlTwbOHRycqGPqR6w2x9mkY/6MCog8u8ZpZTUwnhtKQizouvDOF/Bq2/abPtOaF0W/uQaS0eAPndadZ1Cs61AwSb2jo2aeKAkOXAy9+czte/Ob2hTe8xsC9JG20Bq935Eqg+4iOzkMSOg9d+Vf3muBZpCL9dHfvh2GNs1oY1KYo37eTMe5Kzos9Myt4Fxc+vRPJs0426qiEjuGCsDVwaOPZmlIA1KMpHPs7lsQm8YaG8EWKeafkHk9j3/NaBVZIQqVDRnSSCahin4qOI/MwOt08AjVV1J1jLX8sg6cObGOp4xxYYZbDAWBBVHzZfrxL1D1d/a/sfmTWakicN3Fxi4r4qI38EHs4el6pYHpHCPHztugXt41YYRnFPnek9v7OmZmp40xjqa6url5go+MT+x/H2w9/EABwYbiHXcs5Cea6EpSTLoNSmyco3laEfdGfFb335wRhJ0DO634cv5Miccqp+bqW/R4bldF11C/8K0kZoaxVsx4dmceJ33F5EHKF2TbkCqDm2D0b3HMOE99n9RW0rFPBfJDgvg+8gMef3IX+F9xR1YjJyP56FuXhFJInWVt83IKaN2FpEmTdhhH3eFJ0G9mVKjpOOqUonSQ/UlHH8Y93iKpm5qEOyDpQ7LfdSmc/7wB5iz/YrJCJIJYqoTycQv9+C1M7ZHFdO0ZqNSAzzO5//FwJsuPePv5gCtHzMpQCYDq2aqXASgjonU6+jQm23/IyC2v/XYcZUaBw1nJEwSv7P4/c/Pkbm2fBiwwBQGJUgRmRYXkCs7Tx5vaT26zDPK0BoDB6DXATY6VDgRUiKKcl0caWm8fddxzG3qibDk6N6sjkHcbUprzI3fDcQLfIO1nqYYJITxEUK7xKuVtSsNTDChfHzwcfM4jQ1ArefviD+Nm27wEAPhi9GwBw6PgqvHfDUXy/cKtnSwUPbXsOXxveJVpSkTKKb/SBTzRK3R5jYLqE3FrNWWbnGt/vChrJiXtQKhKkig3boWh7PSbaajfMtFJWWV3VsgrLKfg7OtcBSwR2OfU7ei189+XbgD72gpQ7WN8qaQmFc0moOpB36rckz9qCPi7pdlUciI34uCWyexPDFWhcWAFApcsticjrkaDfBs4lfdshQf9/9t48SJLzPO/8fXlU1l3V9/T0nI2ZwWAG9w2DFEBQAkVCJE2IpilKa1KHKQvaoLyULXsdG7EbsX9YEXZoba2DtLSyDB2kRImHSRokCJIAhgTAwQ0MZgYDzKB77r6vuivP/ePLLyvr6JnuGYACiH4iOiorO+/KfPP93uN5sM8mcMNhombL/1XGPRI9tDwKk/KadbKLu+kAzRa46TD1bYjIUIA0EiCNhl5zEY4fOwd/XcWD77hhyAY2sIF/GLxjPYs3G9Kr6EazCMlLiF+pVOq9Vx+JSGnfN36cRw7vZ3C4xEol2cY16dQSYVNVqO1QDEjNSlUwa9kI1cEAtHBe7zfCaizhnZR4q+H88aHIo/j6ru/zufO3wJUnOVsromfkNdrUX2J+aoQnFq+gXpfewrVbzgHwen4TiXLr2FQLd7CUiDyKYEmuEx9uKHR2Vsa/3zfezSb80MR+2CmPy57MEexo4NcNkvOt4VjqtAnXlYDWMKrR3/II7PDtrtsd++74blZcWUXZA43jBQAyu1sKZyrNKm5bJni6iBlTbDcrArMiG84028UI46ZGRaMxJNBs2egFsgFMDXviHo0a4rpp2rwJkJ6E8ipAtrgLx0OPra87HsLfqOBcF+o7bcxZE2fYiRkNnUaflOlTw4/mJcSy4mzVyjjMz+a59+oj0ffGNpvB4RLzs3kKQ3Jf1jLUh8Fc1GkWg0gmUEr1vTWl7J343Plb+OPNz7Lr8c/woT1HYIucf+jsGN6oy2dGn+RB7gRksRfAyVIQDT8ag0FUM2GuaLh9l3c8B6Z2RdOVusV940e4b/yINBghxFQSbbRBY1De2snRKszKh9dLaDTD39JPBJgVgZMNMAsqlnV5fB0AlZks2W0lKjNZMrF5atoMuX5qm+T+xdYafsLCqIWdpFmfxLIeGQp5rKvvrz7sYy3Ght/hdGOTR3Jax0+8eTHJd62xSIWtxvWdNqnJBPWdNqIqpf4kfJJLPis7NQqT6uGUP0S8eGs1JE8neIT9XZ7Fo0euxx1yeOTw/kgHNTmvM0+eweESxpxs9pm+y2fooB4R66rmsNSc1B7Vm82Lck+0FX51vLFXq75MLGm8+NoO+eXKk+x6/DOcuPtBdj3+GTb1y4DdH93yd/z+Nz7N7z3+q5G3wRaYreWw84Lsudb1Up6F3hRwMhlN2/kA8KNYhYpRqOn4fDVdqbdiHPeNH+HA1C7mzhf5+E3PAfDQy3dw38d+wkMT+9HKoRDyVIZcGe4dP8JBbsVakttq9Mv9mRWB96p6lBsRsczFCGYCU15X4XiYlVYswrM07CMFRC6IDEN2pIJxuIhZCSIt1PR0qH/6cgbNdnBDrdLshE51i09qVqM+LI81Ndv7WBLLAYllwfLVXmQkVOwj/5qOXWh9N2uXbzTetcaivrM9fao8C6rt3RlWD8a0ixkKkJqd94bDDoXHJnZzz/te4oXZraxUkuzaKbMhkwd2RLwOCtkJAwhobHbJThg0NocP93ENLxmE/BJyVtxoNIuxKtGYgWgWw6xHuE6vXg8Ad1edD++R7v7ZWpEP7TnSZjAAPr/4CQTw4Rte4oV56R3N1nKs1JNRFkJBZZdK+x20lNyfXTfQl40w09G+f5X9UMYjvkx8GPLQxH629i3DZvjak1KpKHldiW/8UAZcVeNtkPSpjml89fmblWMk/78IK7vl9Qks+elkjQtmQ/yERiDCfpyY5EFt1I+2kR2RFiIB1MqF1vSmlicTR2L/Mu6JHG6YYGv2+/QdkX0+ybmWtoublvelrokoG1LbLIcf2Qk9qr1QcLMamt0anhg1HS/drdC+0RuyBsQ9CzUMEVWjbRiysrP3MGQtnoV+LBtpdsaHIY8+JjMKu289xbEj8kHbe9dJ5qpZ5mfzJHeHWYAGLO+BwlGD2qaAwlG5v+XdkrnJWnZ7ehbx2ETcs+gkrlnNszBOpKKsh55xYIuMUSiDATJjMrzlHC/Mb+UPrngYgB+s7OdsrchJCiztDZW9Cx5BUt6s+SNmNDRQPRVWye3yLFQcQ823Sq1pZRRAGoGlVJO7Rk9wADk8qRwcwtvm8PGbnuPrR+U53Dk+ySt/tw9r3zJOeoCVK8LfcsCncFyjtinAQXkZ8gWiYhVmpbN3xG+TjlCQsQm5Dfd8EeOGZdwXi6RDWYQahciTUKhtEqSnA+a3pCgAudNhNiMhKO0GLxGgh16BlwiiFHO8nD59XnpAcUORD/lm7YJUY0/Ohb//SoDeQ9NlPTGLjWzIBjawgTXhXetZxBGPWZizylXzKUz2jlmsB7tG5jtiFgO4Qw6vTm5GOYCTB3ZEQU7j++0xi/I2sJZF5NUUj/ss7/7p2PhN/SUOnR3jj275Oz6/+ImoWOuJa7/O7r/+Hdw+l88vfgKQ2RAVs+g7Jq9XfVCnEQY7nVz7tmXMYn1Q2RQr6XDj5rO8cH4LXz96PXeMSy7Cg/lBPn7TcxxaGsMI4yNP1neTsaAvWWcFKLwhj20FDScrx/TWQssVd7JGNOSIexZeGMNQnKVqWJCo2TjZIIoNNDa7iNN5GPDRbblOYv8KTqUIiCgbIvclMM8mAJ/yNrl+YhnsYkBiWYtqJxLLGr6p45saiZhn4aYFyVmoZGUWBWRBFoBRE9E0gObw7hyGpOaCMCtw6UguqAspDUXuaAI3FY9l6JGhWG8xFkjmakgweXoHzja5zUcfux5rSWAtJajusbHmpYv4cx96kUcO72f5yADGbnle/S8K5m73GDqoy56JWXm8y7u1nnGUNwuJZYG6LeanRvBGXX7/G59GAMNhenT3X/8Ox3/ti+x86J9HKdNDZ8fwqiYj53xm7pJuceq0Fg05MueCNqGgtgKlNSL1ikp9pniJfdiDAYw2OPjkVeE+BN/9yh3Ur6lz/4cORus9/pPbeeOFrfSbMH9D2OcxBenpgJVdtAUolYG4WBo1HrNITws0W/WP6JR2Qf5Eq1vV+24B3Q5kkHFWrlMb1kjP+lRCI9F/TF6zyqhOck4+6Cpm0RgK0ByvK22bmfIpb9eiKk1oGcNmAXKnWsZCdy5/GPKONBaXaygAlm5uv3CNwaCr1iIer4BWzGItAc7EL8xz+/AZHjm8n6t2SnWwE+lB7O3y//eOH4er5bRa5kR6EOsp+eqxC4LshMHyHql9UpO6xqSnYWWfS2reJB32wsVjF3F5gbiuhyoDLyzLhrvVApy1m2s8cO2PAHhi8Qo+M/okv/f4r7YFM90+N+ol+dz5WwDYsmeZHckF/vqFD5A/Ela8xmjyF27wI89AIT1jRcFLFZdw8gZmyY1iGF48S3JLKxrabJjcMT7JXD3LCWRZeqlokJgx8OsG3/qODHTqe8vYV0H/vnmsp/opHA/Ln/thZRc4uSCqs/BelN6EIgKOBzhVwFNVPOox0qSV3a0Ap2hqGMN1FvMWifBl4OQCzLLArLTOpTbq42Q1kruX4ZkcpW1y2cq4R3ZCJ7Es8ENHILEsIk/G9AKEG2qWXCWw+2UmpFVnIdOldr8fZUjkNjSyp6R3oio4fVP72fcs3gyo4cZqxVggjcOlvsUXTvbxWKVbK9CptZLmanhy1c7zbM0sMZfNUilKY2E0ZGGWHILIT3VM5qLeTQsfwluFgm6tZeD+ghWVcNfrCR7kTvSM0xbM/PziJ7h2y7moDgPgjxbHOdmQXZvKSDiF1jEmZ3XsRuf1aB2TMg6uJdBjBsKNEeHUl1pFVaKh8frSEHv65jiTlFbcnkriWbBnfIoTKWlAPjJ+hIdevkMeT1rQCGko3WyAtShwcgGiqdKlMmDoXSB9qrgktHjqtCygHBNM3uYg3kh3eCwiSqUCofEAF9nfpOosjIqGm5Z1IGpoE6+V8E0tGgollgV2f3tBllEDagLQQi9RzQ+iY1ef68VGgHMDG9jAmvCu9Sw60cvDsJYvz7uAltcAsHV8KSr3juPVyc1svXqJG4fP8PSy7KysbWp5FUD0mZ4WrOzzgMsfil0M1245Jyszw4KrH6zsj+YfOjvGlj3L/NGilEX8fP8Erzuv8Gj+FpLzagsadtjAZec1vGLnsGd9FZNDm1s/RKVuybTp1C5u3Cy76g5OXkUwKodZImwuOzQqGePvGj3BU84AyTCduTIQRMFGNYS4VKhhBsjScWclRTDoYVaMaJ6adjrEiCszWbJOgJtWfJ8+Wuh8rqX6sn0IQiTg7CdoE3M21qd02BMbxuItQpBehVOzpsvO02EoZOWNPV9LcKa6vlro9Q43Vlu+FwqpdiIhVXB1tlaMvntVkx3JhWjo8brzSk9OTwU/2bqhVXFW3Fispes0XsHZbJhMNQpU6hZzydYT6NcNlhqpaOiy1IgJE11E1zPeadqr69RPaD27TuMQTa2LuEkNc1ZDXCUsSLQ4R3se40Vo8TRbrGpkNMfvilmsB28PYxEE4PsEKjIb+CSWHYTjsXCrHHsOfHNWchV6Hqm5AKMhT9hNamhNDwOYuVXGIfKTAaJpg+PIH08Rm8YYiXInw1nTCazlgOpoWCgUUubP/HId7Y1Q4zLsjHZTAtFwMBdj2hHhd6X9oPY18BOTZiHBG4UMZ1Z2AGAXAvpPQ7OQ5annWgQ5AysBZ47uwC4E2NeExTcpl7qZJBhtYCUdvGMy95hc9KnP6xRe7Sh9BLSag7nY+xIrpTDFg6mKe6Iin/D4h58WYZu5bAo7GTJVJUoBJ5EViXZeMHLO569f+EC0/UfzMtB5+Pe+wM5vSfatPbvPs9JMUjkwHAbrIo4sAIpHuzv0rLnex4/jkvxBi88iCRx94irylYC5rLw2g5UAO2vgPj/I8GwYMD02wEDN44dztzM4W2f6NvmbfvruH/Hlb91F/kSroCp1un3nRse1TMSuUxzDz0hdE1BSESL8lPdC9oycVjo20fZrPtnzGqmpBqXt0tBqDUHx5jnmjw7SfzimEXJaHkycpHfgqDzvds3cUP+lQ0vXqPvocyttvpzO6kavF94exmKdSC55NPour+knMysvUnVYp7RTMPSySzOv0yy2fiD/ijqFx1LUhtstvWg4F/wOkJqXTNDWCtSG5bzcaTk/NQ8L+3RyZ6Rhmr3LofhigvQs/Nx9YZ/DN8I+h2/cQfNK6JeKhCztFSTnxSUxXQMXZaKWxDUhEUtZNoWpXg9Vmdl3TKZHZVWmPAc19Nj5rc8y+ZE/BeCTk/fQl6zxYnaIwomWCLOSz1uvRmhmtv2t2ihqVDdpJEO5A2vZx6wJlsd1zoWZJqMk2PZ9m0bRwi6Y/NoHDwDw5WM3kznXIo1Zy7WB3oza1oqP5qr6BihvNcidcSPPxKjJ7IpedzFDJrzmgIW5YlPemsZa0klPh/0v22D2+CDD++Zxj8kXZWWrYOjxcL+x/Rt1l8pmC99s3Z/5U9IrtHMmycVWxka4Qdu6EX6WafU2sIEN/MPgHelZXK5XAbJBCaAWDj86vYpouUJrnl1YuxW2c1rkkTRGlUXX0cPxa2PUwwoZkfRFk2YB4mNVOx9waGkMOx9w/76XeOS5O8L/BF3VkG8mnKzexnAlPYewCrMgz6M+qJM6LTtKW+lRucye3ef55OQ9APztzkf5UnmAp4d24UwbNPrl9YunFNeDRrH93dboF7hZaITXzaxqOBk5L/96yIjVD07GoNEvKEx4fPnYzQB8au9zfO2Zu+UyxbX/rr0QH1oAOBmBndcxaiL6v5qOr2PUDJyMQDh+JBgl+hsMDZSZW8iRCe+9RPeIE5Deg1ovPk9+thjeAIy61yVgtV68I43FW4FehgKkgUisXHrmoTHqEaS8cBpyZ7S2Ssa2Yyi0plXmwCu6HFoaazMQl1IqfSlQfBSNwYDkvIiawhqDrcrM6JjCrMdKM0lfUsZ0vlQe4FdzC/z74SpOtoCbu7zjbvS377MZGh8vrJ3InZHLNAc9rJD/wwuDfWrZOFSnp9N/mdmQtIhawJsFWUzVLIgoAxGfdtO9X3SqRX1ooBx9LudTPZftRPx+MuqqlkKEBkPNX58gUS9c1FgIIf4c+CVgNgiCq8N5/cBXgB3ASeATQRAsCSEE8J+BDwE14DNBELxwOQdYmFiD/FeI/OSb9xD1P5xiebeMW/BC+uIrvElQlYeppuCN5a2kSvIzzn8S56J8u6FyYJgXs3Ks/fTQLv79Z2IXcwAAIABJREFUcJXDt3+Jq59+oG05e+zSWdovB9YzMnPyF/PvpTgXsHzNT4dI6GJILsjjWH52OJpXvGW2tcB//2kfUTfW4lk8CPwX4C9j8/4t8MMgCP5QCPFvw+//BvggsDv8uw34Yvj5piOeDbkUlHaq7AdYy0Hbd4XcaSiTIj3bTgLrF1rGQ1up4RfSkc6HwuIv1gnOpTCXNBInQ5arkYDZu+RDkppIUPlH8nVTfCzF8p4Ar99h5LGwL+M66HsVqh8qkXkij/Me6Yv2/Y8sMyMpquNprHmZH1QZDT9p4OZirme51dZc3yIjeZkJGWFTCmFK5Uvpeky9N0D0yelgKYG5Ir2I0n4nKuN2crLXY+EGn+Rs2BKd1/CTPr4JhZAt25k2cLIFrn76AZklefi3ALjhlglOrvRT31aMejE0W7753KyJUXHwE3p4nDI4aMysUN3RejuqvhprsfVWnfp5l8IrGvnXddIzreHR7M0Gehjry5xXqVEd66MzBGf7MRbkNXCH8ujVJkHCQNguXiZGKOx4eBkTvRQS5zbCDTouy3uISrn9hGTYXrzGpz5kRPPqQwZGzaA+3HqhmRW5fS9tMHNPK7g68BN5nd0zQ9E8d7gS/k42NOW+S9vl9hOlgMaAvA61EY3aaED2tMBNi8h7avRbjE5nCUw9yoAEpg7zax/SX9RYBEHwIyHEjo7ZHwXuDqf/AngcaSw+CvxlIPUFDgohikKI0SAI1si1vXZcqpHoRLNPpkT1hqTqd0PPz1pW8Yogij3EYxai6fScVjCPpHH213AWLZxYCYW+KG+E+riNfi5kcxqW+9EXTeqDLaFg1QNTHQv4WEj88sjgHaT6KtHDEofWcLt+UGVIlGHpWqcjI5F7Q29j4Xb7gJNJtJQb8VGAdH1Fnx2VcLcKrvQo69HoD6Khx86Hf4vJX/wzQNL1PT09zpWLrWNSmRGjIqfVr6uMCLQXTzk5gZf38C0dLRwSpSdMvAS42VZcxMlA9rRsGINWDKo+HFB9eRiR86MMycEvXxs9SMLx0Kvt18yw3VaqMZY50e3WMKOeDfASsmw7cz5s/tsjU/VmLUCzY+JFtYDlPbL+IXNcXsfaqI9d6B6m6uVGtF+VkTHq0khobmtIZdRahEPxQqz0rAdNGxE7JdEE/LV7Vpf6xI3EDMA0MBJOjwFnYsudDedtYAMbeIfjsgOcQRAEQoh1BwuEEJ8FPguQNNYf3r/cYYiCGnY0w7e/1937FQkQ27EAZGBJD0E0HDldaa96dPbX5DAkNttLgtcfCv8smogx6e7rM+nW/Am5Xc+StQs+kCi13jR6M8ABmoNWl7fQaxjiJw20hktzULq8Rqn9OKNhSPi9fIXXxcKtN4WkwmteONArKzPNqI4invW44ZaJqEP1jzc/y2wzx0z/eGsYEi4nhyF0DUM02ishzbKGbwWY5Vgn57hD4RUTv8OJqmwT+JaqwAzXrwqcGypowNcmrwNgUyYRDUOACw9D1D8cl2a/h2aHma2w+avZ71HdrOZBdbPkmGgfhkiP0k3p1EZDir+si+Z0M/R6uZC/tGoTII9BZUJ8o3WdNaf9PlUeR21Yp2Aluoch2tqfn0s1FjNqeCGEGCXq0uccsDW23JZwXheCIPhT4E8BCslN//CyaKvAv6IOM29egFNfNCPDcCF4RRfOmdSXUqRACuUAfUguyme45U07povBzgfoy0bb9/XwUdhjDidX+nl6WvaRzDZz/O3OR3kf4+s6DqPUurGdnN81rZd0nFUqzr18dzbALlls2rLI/MsqqHhpDRRGrPXcqIb7W4XwNxoeZYNwmNBR8FcxcNNyCFHZFhZ1VVd/oI0a0fIghybxIq03oyckOra1yBeGMYv/GcuG/AdgIRbg7A+C4A+EEPcB/ysyG3Ib8MdBENy6ymYj5LX+4DbtXvSr5MBSlKoEtVokVwhQv/e6NjlDJYgcyROmkgRLLaHYs79+FflTXiRvCL15KFTpdlySEMB67TwkwzeLkj1MWsz93Gbm3utELe5qfNh/zGlrG6+NmKRnnDauibi8YHrGiaZzpxqRvGD/U5L7whvIoZUb+Llk9AlSMNkbyLH9ixN8/5lr5bZC/Yi4PCJIicTEkryBlDzilv8p29ubeb2t78IsyTf83I0W2TOK/7JbRjAOVasSR/HoSs/KzPq2AlYYo2j2y+v62H//M8a/9tuAZBUHumQS3V11/AWL0R+LNk0UxWYV798obTfpO97uVjhZg8qoTmrBJ3OujhbnodhXRHMCsidl8PDEJ/NkzgkagwH5CSl9CNI4JucFH/ynP+HAH8tslbXiR4Q4dq51HaxlD832cTM6TiYsI591qA/3rnLQnID0VAMnL70Js2RHhLxxnP2/Q57Q7xXITodxFa+738Wou7gpIzIYRi0MHKd1qsM6le20keqc+v/+H5qnzrw58oVCiL9BBjMHhRBngf8T+EPg74QQvwmcAj4RLv4dpKE4gTTTv76Wg3iroCQOc2fkaTb7TaxFJ/q8FFS2hG+GsEvVGZbcGKoOX32uJuoTn7/a9FrwyOH93HvrIfnl1pY+Sbyr1dtboXYqg1EX0bxmfgCr1N1YptTMO7VHQTZ5xYlzo2NepVioF+IUdWp6/Gu/zcQv/wkA95/4BWZrOf7giof5PJ8glZIP9b6BObbsWeZ7Kzez9YfdBLpx9B1vthkPta++43K9zj6I3Mn21+7H3n+Qrx+9XhbB/eUdoTARfCzUJnnoG3eQDdvEfFOg21IOsfBG9+vbqDkkY60muZOr329aw+3JYhVH43ghzHDA8ri8n8ce7d0Obax0G5vEAsxdV8Tu97D7Y8tWL7jb9u1ebIEgCH5llX+9v8eyAfC7a9/9BjawgXcK3rUVnHqj21VeC8U/tAh+L7j9pn9BEaCLCQQpiKbX9qmmlYgRwL1Xt/Q0jDmTefKt7+GnEmRWomoXYs7q9CBUu3hcCEgtF5/XuV7bsrYXDU/UGokljftPtEslPjh1J5v6S0wvynM4dHaMQ4ytmfniQuJA8eBeHGreQxP7uX/fS4AMMGdT8g19YGoX940f4ZEn7ojcfict0Jy3oLXKXUV+clFKCYgk2KtUG18MfiJo4+tsbPIQ66hJe9cai0uFUjCLQw5J9I5W4Z8ezlT7Im2SOBSvZ6OWaOsLcC3RNQxRJcO99EffSszWZCZMUfTdf+IXuH/LSzyRvgKQxuLaLed4sbrjLT+WZsPkwNQuKnULezDgg6OyumyqUehaVnNkILF5CWTOlwulVLZe2P1+FN8C2gzHWvCuNRbKg4gHvC7Vq5DBTr+NQ0AphnV6EEoxTG/6kUpYetqL5ncG8wNLR9gOgRX+sBU5TymegTQWKmZR3L/AjcOy1OWxid0EpzIk64Kdd8nA6TwZjGaAZ4k27yI1F/Y25HWMMEXZpmjWI8Dp5A3cmNExmtqqfBQqJaqmQQYvFa/ng1N3cv+JX+Dru77PNU9/KlrvgWt/xMnGAEdmjEj6D3oHODvp+4F20t0OgaCIBDf0LO7f91IkLfDSs/sibdW7Rk/w0MR+7LEAzQ1jUks+mhNgLfnRdi4VuhZPffqIenf8orrDBQx8AzJnQ/Ghde43sahR29L+G/rrsADvWmNxqcMQ5Vm4mdAdjcSU2z2LiymG6Q2vja5vtQDnasMQ/ViBR2pyGKJUz16Y3crykQEePSLZq3bfeoqt48c5U+2L1M9GmgHNvGLOFpFwcW1E3oAjzzs9hyG9PA6z5LaR615oGGJUnLYqTQDjRJbPh7HxTf0l7t/yEtc8/Sleue3LfKsqs1Off1aSA9sjLmal/RguRtcP3apibcfUoUz+tSdvJUj6PHlkN9o19cizODC1i2yqSfNcnnSMU8NJC1au0Ci8cXl9LnGVsdWGIZmTBunpAOHD/PWKYXx9+7X7/UixDMA3YX4dlCLvWmNxqZ4FEBmKC27fUiLKvY2Al9Qvugys7lm4qQAzfeG4ScT9mVni1fTmcG5YcGQRUc91YrXYxGqxjNW+t/0voUexClVwBURZj+nFfDT0+FY1zUcyMsPweaRC+4urbrkdndmQeAxjNVYoJXIMoC8bkgIw1vCp6Pzi73EZu1idwu6SYWirGow3G9o6bdwG+c0GNrCBNeFd61lcKlTMoiVz2Dtm4aa0ntoeKjaRnmktm1hh1ZjFahDbq1FQ85HD+3nksBRhVirt0IpZGHWBuVeJVhhYJZ9mXkNvBpF3odTP48Vaeky0uJfiuWdpHTGL1d+yMr7gRdMgYxb7BmSQ49DZMQ6dHeOBa3/E55/9BJ8P1ztx94N87vwt5I+Yb0rMIu5dRDGLFTnvl+98hm/88HaSo1W0Z/N8tS6rZveMT3H86FhbzCI9K2MWfa/y5scsengW8ZhFX5j8Wm/MIjuhU7qydf6JRW0jZvFWolfKtFfMIl5tGEc8NhFfZr1FWXGxonjM4pHD+6P59159hMfYTaOWgNjybhSriDNzyelij/H3akVZsPpQpmsbtt817S9YbNkjAzeHkFmPk42BlgQBrSzJrrGbGXr5wkVZegcjN7THLDqHIUbHmF8FNEHS+6fCVv1r+85xZrQIL+exlsIW9zCF2ux7k2MWq8Ao6ZgVyaXZCLuR9efXt183TZtKmWaLd2DqNAACH1EP7zzfB8eN2LyBiO3bHcxinlsEJwxOhezdwnba2LtVdB9AC4ODdtZC+AZ2ViN3uFUaDpA43/49cL0uxm7huCTPJMhPBhGzVrOZwFoCI4xg18M27vyx7uq6C11sYzkk+Qn3qfgx9AWn7RPHRV8oM/x4nh+/IRnC3VGPR6r7EXWd4WdaTFzfr12LVtfQIVKnMsOMgNnBKbSyS3o2m79/mUKqq5DeGjOt66tu19Efj/C9Ffn21oEXqzs4MmNgj7hRjCJ/xGTX2M2c+NUv8qE/+dhlHVon2a5Waq+8rD+2RYYqZvIkbCgVpZ/3zddliffoi26X57IyrmNMX+Y160Wk24Hh54ok522qo2ZEBanNr1xkrXaYlSLpmbj3F3D+AkHpTqypN+StRiG5Kbij75fx5hbkjMDHf8/1mLNlSekPBIvLBEFAUK+z9CvtTVR9xyp4lo5vxXLIb8zJno6kRRASu9BsvQYn/7ero+n0VBD9AKoLtf+YjWdplLfo5M7KH7OZ1+h/du6C5DdBWdbPvv4Hu6Ku0iDkrVDf1TzVUFZ8McHKXg+9v8nmv5EewNIeg/xJj6n3CIqvCpavkr/Tlkd9Zm422Pyk3UZuA7LrVHWXAm3kOPaQPIbkOXmcXeQ3s/LEX/uX2yMmrvvGj0R1B/eNH+FrT8o2H9Fnk3olhX9LKZIUHNq8TKVukfxBLmLhbhS1iAqvusNr1wMtaYz+xOs5bIjPU98TZ5b4zo++AcBpt8J/nH0fY9Yyf3X8VpqNMBXbCM2xrZF/TU6XrnRJzOmY+0v0/0Um6pkobdepbgk9nKz8fbd9U2BWXbyEJrVNMy3zrjQ3VK+FSsMapQbHHigiwm7Tf3bPj/jysZv51N7n+MpX7wbgno88z6PfugmjBvVQ2dyshv0Zuxts/qbJ/LUhZ+iwS+6EgeYQaZ1qDgwclr+l3vQibotTH+nHLvoYVa2dVQtYfHkIp+gxsl1KCDQeHmb4+e6y9Gde+gKl8rk1VXltBDg3sIENrAlvj2HIBt5RsJIObbnFnxJOuzJIu83IMhYWqWST3UETFwNPhWgSfosbw+x+gQYdqU8vofVU6vJNDT8hoi72wGgtEySkRoyCZTnhtuS2hxJlvESA5gh8KyQZVrwalotvJC6aglVBYT1Wb+Ob4V+PdX0zgITftmxgXFqZuMKGsXiLoDckcU0n1PBDB0Q9Jt9X13Drcc4I+WmWNCAIP0FttTOQF+13lTHoast3r0/k1gPREOShif0Ru/eNm8/yEvtoNkxEQ4uWazZMenAHAZIz08mFcZOyhpPrDkb2Os749/84+z4Axqxl/s3A8YhM555trwPw0BM3ccstr/P8qW2gKI5tDc2Gq0emOMvu9mNa1PASLXVxzWkPGMalAn1TQ7ODnvKBxoIRGYGHz19FeS7Lw9ZVEREOSFIczZH7jNarQfV8Gs1t0e1Zs0bEpt4ScBLRdYgHaTUHknMa9TGXuQVZNu+HJDxWVcPLaMxMyW6gghMKDV0GNowFLe0QaDFmAVGlo/pcjcK/F7xkK9cQj1X4KR8j5cKYSxAah9qIhhirYwD1/lAysQT1gVCvI9fab71fx8mHacNmd2DMixVGGTEO4Qs1WLWvrzwHCRW32Nq3zFLYWPXC+S3YgwF3jE/y+pIklb1r9ARTjQJHn7gq0vdo9Is2Cn5FQKMeLD+MDcTROS/+fSxW8qqyJJ9DkukoPH9qGwPFCktZeR0zw1WcuTzDVpmzQKOgyvHlMbjZgGBAxsV808CshgHmVWIWyrDES8e9nB/FLAA2bWnXPfzJwk464WQCjJrA2FzDN9IY4S1S3S3T8narF7BtOjB1iCngNYbktVESAso4NIcvUbHuAtgwFiGspXZDAUQan5cC5VkE51KRsfAWLbS6Fs1TnoW92YG6gb5oxt6+AU5ORAIz6tPJCcyS+Kl4Fg9N7Oe+8SPMnS/CZmkQAL5+9HoYbTBXz7KnT9ZJqEBovhJQ3RTWUcQUw61FEQWgFRWeZnenoS/kWfzVcRlgVUOPzyEp+m5/6ePRMm4pwY7ti8yMyYfmhpEpXjyS59HTe8iktVjHplSpd7OxrJnjtw1DOj2L+Lz4MEQPKf4AZuYKfPq6gzz4zJ3RQO31syORx6WYqxSj186hBZaNdIvRytYicWMtNEDxYUZn+tfcVMNebPlz+pKB5gicooc1a+Bm3rxq0HdtgNNaaqf97zQUIAuV1uNNtK27ItoMBYDe34xSmADmkialAs6HvJv9DmY5wCwHVMcEZrnbUPWa92bCLAvEVBIxJW/Ahyb28/GbnmN+op8DU7s4MLWLO8YnEVNJTkwN8cL5Lbxwfgt7+ubY2reMnRUkFwOSi0HUA6KgNUXExB2nxVsrmg2TZsOk0rC4dfgUs80ct7/0cQ5e/1UOXv9VjLLgwze/yLBVxpgzMeZMDs+MYlYEX7j+S2hOQGJZ/ikYFYF+3kI/b11gzxeHtajJIUbZ5MFn7kTYGkZNGodsvi6nqzFmsqrAqAYcf3lrxM7tpuUwpLlFGtHmFjua7oVECfRXsoxsX2RmqsjMVBGjKo2NNSv9AKOqyb/a5d8371pjsYENbGB9eMcOQy6X3Vt5EkpkqFkUNPvavQ2rJKPc6Tk1/lv75WrcWINzKZIxNTPPkqzf/qJFMtQVASg8lmIx1G/NTIeRdMskO+UxM2bQd8xnaa88z4HDDo3BBE7OwFpHzMLJhYI0q7SQK4zde5ozS9KFtydlLOChl+8geV2JykEZnziYHyRzTlAqGtihB3Jw8ioABisB1rL8bcyqRi4Uhpj6eZd0yFxeG3fQS3pPzswLxSyiOgpkMFPhyud/B4DXfvOLXPnf5LQVEuM2j+e56SPH+M2//x0GCUjPy2tm1jQW/3EVu2SROyaPK54F6ZURWdxrMPxC9zW/6b2vcaokb6j62X6ErWEO1tl3/VkAnnlpN7fef4xTpT725Jfa1j1V6sN/bgjnBumGiWNZRh8xkJWK6nwDVq5I4GQEI896UcyifmcF19alilkYo3AzPsFI65qqgGew1yYzncRNCYx6ixrQW8fz8441FpcrAZCekhesNioFhpp9Ms7QCTsvsErt+xJNJ5ICWA3Zp9LURgIaN9bairKSL6SxCwFeMsA8Ig2JZ8khidPnR4HI5asCUguC1BzYOfkJ4cPTlAVXvcqEzXJrntZw8cNO2k7ZgE5xIYXpb2/DC6PwwY4GYirJfR/7Cd/44e142+RN+vGbnuO7X7mDxIwRtbgHow38uoGdNTBrSuBHREVZhVe0KJ1ZeMXEyUDf8Uar9Ds875ZCmR997xVvUVkPt5TgA++R9Z5X/rff4bXf/CK3v/RxSk9Jxm7fCnj1q3u56ePHOPXSnih9Wt2skXoiixXjMTKrLk7GiIKZKtgJMqU6+IodBTa9VOvROfTw3qiDU2z10Msarp3m6DN7Aci+d4mjX9+LUQ04mhmJ1jOqsnS7v+EhjskAT3IBpu72yZwyqG6X+8qcMhh9si4zMrES9dST4Tq/OMv80cFwmxpMpEiU2gOj2TMm1lK97WUIoDfWPhx8xxqLNxOrZUPKW8KqukvIhii4dQNjrFuv1d7skJqQd+ryDXYU7FSSdJmzUNohA45OTkQ9GKXtBvZbqKIeh1830EYbPDQh+00+ftNzABxaGqN+TR2/brBnvCU2t9RI4T4/yPK4PBc3C81B+SbOv65HAc9OXY81I0wvuhhR1mPH9vbMg4ph7F7+DAC7RuaZPrWNpUYaJy2ohpma6haf3IRGfSiIgpNcoiqvk5HBUgBhC1J7l6kfK0b/r5zLk+1Yx01LstzG7gbuRIJkWLxcGw0QtkZ1u4sIz7e63YUne++7ss0nCehbpZeqvSL3ZOfX34J+MbwjjUVyyaPRtz5KsE5YK62AT21UkJ8McJPthgMgd9aLjMV6MiNyWUF6JhFR/idWBNZKgLUCZUyssLTfSblo5802tfbMeTn0GDzkYWc1EhX5BqiO6pEs3lsBddwAyXmTxqCBVk6RJMyCAMbJJPd/6CDf+s7tnEjJoYmYSqI3YXjW51xYSZ9/XY/UzNMzfpvo0KVAlXBLDyXBUjbFzFgRY05eX6siKD01zO7lz3D87gcB+OTkPSxUAk4+tZVUWkQl3rkJjdS8j13USKyt2nlVpOZEFLw0qhplChROAiETeP6YjuYEmDUitfX6kMCsgVhI4JsiEkbWHAEIKtt0sqfl9ivbdKD7yU+UAhLLGsvPDkdp+uxZuf3OTF6nZMClYCPAuYENbGBNeEd6FpfrVYAshILWsEMFODuhvApoDUMuFq8AKG8V2GHhj0qfVhct7FBMx7+iTjkZxjLC79VFi8KxsPYirLeoD2hSBDgWuGwMCtwpM/rx4rELFcgE2oq2lKyhki9UjWSdqI4JGsOt9ZKjVWpTGYKkz53jkwA8WZeVkPreMh8JBZsPjY6x1EjhHBvAKCkJv1bJM2hdamHpOWPVRjIVw4g3lpWuDJdN+GBrZIar3DAyxeHiqNzf8Ty+FbBrZJ5PTt4DwN/ufJR9I3sx969gnMxjVFrCyKDR2ORFYkCFyVa8QnPai7LkNRPRGzpeg9EsBjTDUYdvBmR2rlBuFqOhSbMohyl+7LZpFmUdhbG5in8kE0kRVraBURW4aZ9GWJTnpn3c8Fj8tIlelr9PY0DQGPIJsq1rWKvLoa1dCHDTLY8psfIuLvfOnld6jzqiKcun9R7ZgdWgDEN+MsAqeZS2GVFmBKROaP+rvsw6hMHBeEfnxeDsr5E4kiY9G8Dr0ih4lmBlrzzGwlPpaHrTN5MsXC3QgKEX5dizvC1J3+NNlnZb9L3uUhmVRmToxRoL+1N4ltaW7bgYvAtQ3sVx38d+Ekklpk6bMJsnV4bqmMYrf7cPgIwFj//kduyrZKYkjoGax7bvy98m/rDN3myQPS2vbWVb+GCM6pEA0FqQmFP6pzqaDc5cnheP5KPhzU0fOcarX93L9KltLFTkvvaN7OXoA19g3xceID3vkg/V1tyUxplfCkhMGxS7idF7Yv5anc0/6j5eZ3uTT193EICvfPVu/IN9+CM+V3/4NQAOf3sv/+RXHgfg1comAI7OjbApX+L1V7eQXPKZvkOeQ/a0Rv6U2kfLIC3ulZZm5NnWcCT9/lnsZ4dJnE7ghhVgmgONwYD+62REfPlZGejN/twc7mQfbkqLeFR8412SDalsboWxUzNmV4u6fpEUoYoKl3YK4peh2Sd/tMy0SW3IwM4Lmnn5S9h5Qea1tR2f9kYKuxjg7G8PbppvpHD6fCr/qAaL0vgsXC2kpiqwvEvuqzQusHMWTk6wFPMWlnelqI4JslO8JfjWd26HkfBmDRW57h0/wlefvxlrnyy37kvWeeOFrfTva0klqurOH87dTqMozyte7q3bsBJyy/iWj5f3GHhlfaNgc3+LquvqkSmGrTKPnt7DF67/EgC/+fe/w00fP8ZSI83Jp7aG66yw7wsPcPSBL/Cez/02pUH50JV3QOq0wMkELEobyOYnWoQ6uu23pU81x2fwUIw0OcZmJRYSfPlbdwHgbPLCxjJpJAC025f4+7+5G6MKbuhdOZmA6dk+2OvhG4LEcthjs81n5Tofc9aMVO/MWZOxA90xi9oPhyEvjUbUGzIh75/Fl2UsidCzs789RL5cx6iLqEckMMS6siFvDz4Lcyi47drfJXjpqJwRBOi7dlK9aojMMyflrHIFfB/fdhDX7Y3WDSyd2RtlBHj0sZaFEMtlAttGJBIEoVZpECsvdm9oNRXFCWSdUL8zM1HC7UuhV+zYcgbm1BJBwiRIyJtOq9Tws2m05ZDPoio9g8ZN47H1LvxQeJaGlxDodkBqVh6r7HLUMKrdbzLf1DCXG12aokHCaDsXvSIVwYXtRsrgotaRijBDQzQvrWft5u3txxY7difm1vqmwFrxo3m6I4NoqdkmdiEc8tR6e3pRmrRktyt6xxCfLxwPfaFM+bpN0b5bx6R1Be+ctIhccKMmayt8U/DEH/8Jd/32Z+Xx1kOOkpiUpVF18VKtoUi8/0OVd+shwbOfDM9xrkzp2sHW29oUuEmNRNnr6nKNH6d6w9s5nY/9H9/noX99T7iM3I6X1CMiZy+pk5xvEOga+koDEZI81bcVujwD9fAHukB47ddFac3GcfDwn1Cqri3C+/bwLISGdnaW+K3l59JkXp2jeusOANI/PBz9z8snsPOtAeCmJ5cIEgZT75PWNHfeJff0hX10JxzDOzmd2qBGYdLByek0w1jB1D+S45Sh5y2cTOtaDk/Jh0rYLUsfn46OP6HR6JcPgGoISy34JBcN80sbAAAgAElEQVTlWS7tNslMyx927iZB8Zhcb+pfhcLPPy4SvHcZ8eMi9U0BAy+HdSEjGmYlYOSJjlpqQNgueocBUQall1ixvADd8xvF1oPb7NMiKrmVK8Kx/Rs+8zcEFI7rNELdzGSYwZy+LcWvffAAAF8+Jocz1jNZMud9moWQ4Sm8XEPPts5hNebt+PzOh69RkL0eibC/TBmFalGLsh5GRZA/41MaNLnrtz/LgT/5UwDGf/AbFJ+ycNOC8hbpCW35XgXjYvqt4fXSyq2iHM1tzzo0hwWJMuh11Uci3+Zx4+mbJmbJpTxm8N1/eTf1UfkoLoQ0/7/9ge/zlf98LwDVzYKdf1MNr4fbtq/6oIYfi0Xkzsh9OEkNM+Y1aJ6PPt99cp3sYRfCRjZkAxvYwJrw9vAs1om4V3GpcHLy7VkbDMeKm3tfiuomjUTYvGXn1h5NtnM69QGNxmCr6KcxKBg4rMvKxsGARDnsMC0J7Fz79uubAryVFPqmgOTuFWrTrSKf2qbLi2pfCE5GjyT5Gv2y47HRr5FchOZA6GGgkZ6S/1ddmysD8vPTd/8o8ig+tVcWcf3F/HvRbD3MQLQo5daL0vb2oYpsM29lIsyaRnWzFhVcgcx6uCmN8g7In/IY/8FvADDx83/OvtcekOd5iXKACvU+HbOu2NEFdl5QxiAzK9/a1WE9mvYU+3tSQ0/ruCmB5rU4XZM7S3x6z0H+4vXb8TZf+Do5OR03KdooDDQ3LF03BHa25Quk5l0SXVtYH96RxgJardhrjfJ3QhmJRDnAKnuUQ2OhDENuErxE+AMuqZtJrqPiFSCHIEHCRNTaa8XnbhIk5yVxidpmY1AwF7Y05CZhOQy9DD3vs7xbw8kH5L8rdTWr+wMKz1m4718meLpIdXvI6fB4wOxNGs1NORKL9fAYQmLhhIHd32Kwiv+/uUkGwKyzoc9uGtKlNttvgdKvlKielnXCZllEmYaV3T6F4yqdCenpgJVdsvVczQP48rfuInNOTn/tmbtx01CcC7A+OkP1ZRmZd26oYJcsVvYVyZ1s54V002Yb67b6rpVq0dACWiQyVqyLd/EfV0k9kY0KriRk1iN1OmQvf0oOOfa99gBHf/cLjP/gN7AmZH+L059Grzv4po7meHip2O/s+tRHk6TPy2uqxKlEw2HhptZxmUuCxAosXeuzmJEGIjlpsHStQK+YuCPhelVBkAlInA1wkzr5X5IR6+mlHH/15x9AA1JLscLBK+R4LzVVRVTlvTZ7k45ZEhh1maYG8A2N2hYfs0TYByLnL19psmMxj2fpUdbQs3SCubWbgLe9sUidra552dz5SyP8aOZabyz1ds9OeZS26dTGZI9G/H9rgVmK0ez3WE++DeTNUN0kDUUc6SkNJwu103kKsfBEbUgjsX8FHn1raO0axwuYsa5oJxtEBqO2KawxsAUruyRdvpNrP+78CS2K+CssX+MTnO1HhG3pGpIgRnMGL+kYg0SAlwhws/JP1U7YJQsrIUlxbUXAs8kjMW3gZAKa/WZb7cH4D36DiZ//c3Z+87PRPN/UCQyti+Uszl8BrYCsaDgEGZfkpDRCzWEPNyMQtsCatcJtBlizOkYNGrH3uzFr0djZpFk0mXl9uG37XhJKV4TTqYDMdPd1sBYFpT0u1rweldVb89KA6HWBXie6r1IzAt/QCEwNPwx8Bj2a5S6Et72xWA2X6lF0Qj3Ieg+xYID0OdHic4zhYgHO5EJAeSdoTfDD8gytKT0NIKJOA3ByrfnqDa3Z4If7dbKQ2SaDU86pItXTeRKLPYJVtht5E/F5QNf8CB0BzvwJWRgEYA96mIUm3qsZAsvHCT0ra0F6HPaghwhFlBVzdzwM1iwGOP1hoHHBiAKfX5u8jvmXh7niZOscVCDTdDyE40UPoxIAghYLN8iMUMRw1ZQXOOoetYKohNvJaBSPw+I+sBadKJjZGPaxJpLs/OZnmfyoDHp+8L/+CsL1CQwt+owjW2q0Aq6xwGD6dYtEWLrvpjXcPhdjyaAwIc994WpB32s+RiMgEWtKNGs+zWGD1JxDNjQ21RvqODn5IpCl3/IzfSqMIDtuFJS0loLIODh5xeDVCiJLr0J+z53xMOa7g/6rBr57YCPAuYENbGBNeFvUWeRFf3Cb9vMYO2WOP6jWoN6IdEIAvDuuadMRIaydULogwkoQlFqWc+GjLWWuvmPSj3fyCcySHX2C1P0A2rRAALST04iwfzkI9ymsBNMf2tbVbGYtSZ0RJamnYJSdtlLsuK6HNd+MSrATc3XqW6Tvnn1BciAExRyiWifIpKJPCOtHijle/0x/lw6J6OhuDc6lSM0IjIbsbAUY+46OWfFwsjq63fu312KFSQqdeh4QMmHHzlezfVKnV3qmY92hPHpV/mZeRl6DifvTfOz9svLxoYn9NBsm9+97KdInASkpeGBqF/XHhug/Fk8btsqyo+vb0VYO7VWk1kIzKncHGaOAVgn8d7/7N+x8+Lf48LUvc+BLt+C9V7oL/8vuZ/izV+5EeyNFalb+9ql5H7Pmy3qTxcvju4xXHgvHQ2t0e6qv/3qRzFkNO0/UodpLB+RCOH1vuk1fZGaqyNwf/Bdqc2feQXUW/wAQze4fZC08FdAuSrQaOg2FguKb0Bpu28WP81C0QT148QfQccmdEtQa0oCo6k8g4svohL6ozksZgt6Gohd/RKeGqDIc8R4OuDDPp15tRi68MhqZc5mok/X+fS9xYGoXXz96PUHSR1+WV+cbP5RqYCmIDIEqFFOCQHF09nMoY6LbPl7KaKujUMFMVY258+HfYvIX/4xPTt6Dk2m53X/2yp18cM8RDjx7SxQ4rQ9qMA96R69InKuzF4HOxdDLUACkZjSMakBiRQbKLwVuxo/KvwEYdt+B8oX/AFBGQcR+nLUYCuhuY+8FVXreaTDUw+UnjbZlVq3yNA2wnfashWlQGwnajIRCfSSIlM70RRPCsbSfar8rVMVoJzofvvh85WnECWtWW74TqoI0Pt0YDLh/30vR/Erd4o7xSZ48shs/lB1IjoYB7pl8tK8LMVp1UvXH/99ZUaqCmSo28eFrX+aTk/fwtzsf5WqnVSX8wT2yWa7RH0SBa6MWRIai13FciqEACHQ9qtCMoz7ioznKEF3SptEc0cbpOTK6zNw6DvNn1lhcjPPiUj2L2qig75iPF6qHKw6MziGI1vR6ehbqQev836pv5VU8i+JxsGdaQ6faSEDihXTI0xH2P2wL6f2QjWsAZsVuG4KoXLzqcBw40ujpWfSiursQE3cnhO12VWnmJ+CRv5SNaJ4F9mDAS8/uQ7umHmkYac/mcXIBCbu3EHLbcZrdAkFxz6L7fx4+rT6PA1+6BScDVzt7Ofx7X2Dnw78FwPeO3IyfgMJpIlo+J61RGdUpj/vs+Pab51n0MhQAhdcEZi3ArPrM3nxphqj/ujn8vxuKvvsMoa1Dj/tn1lhcrI39sjyLEa2rnb3TM3BzsoW80yioFnKt6bViFg03mt/V17qKZ9GrBb4B2GGjGkg2cQUVs8hMhS3wWa2nZ+FkjYvGLNSnkzW6hiFGO3FVBC9jdcUsqmMialbLppp8cPQEB6Z28cGwKQ3gq/WbSfXVKRUzFCbadTwUBV7b5VolZuGbGtZCe2+EqqNQnoX33pVo6KGGJEAkZvTo4i3gh1maWkBq3sfNdHs7vb6vFX7S7DkUaQwJmAtoFnWc4dUZvy8G2TgZ7isREKxjRLORDdnABjawJvzMehZvJXqR5Py0YReDruwHgNPnt3kUwbmUJCLe3Hpb6XYQVacq7+Kt1iPpBTsf8LGQPOfA1C6mGgXuCr2LSl16H3vGp7i27xzffP12YB0+8yVAZT0+uOcI3ztyc+RR/PHmZ2XQMxtE9RQgg5vJuZ/OdWv2+xg1Dd8E66wq/FlfFmbmVD906JAEGzGLtxa91Ms6sRbFsPgyqymJrYbUjKBOizVcITmlY9e758d1VS8Ezfa7YgGdx6qCnReLIbSt36bRGZZBz4uIDPi+0Gg8NLGfbKpl7I4fHePMaDFcrxUXUGnTTnd/tYCr5nQXWXUWXilDAa2COKAV9KzsjTg0nXRLJPnNhOihpQqyvN2oBiDALlzatrWsgznRqvxtbmRDWsietyMmLQAzTJupGotLwdDLLnPXGRF5jmLW0my/jcauOWhdUNfDKLfiF8ZKc90VqY0bJRMXQLoHExfIoGaiFKA3AxauVlT7TvhQG20GID0tH9CF/SmyU2E1ZSxd2kuX1Ml20s5pqzYreRkTI6wW9DIyVvDBf/oTHvqGDHA+8oT8tMcCmufyqOiRPRbAy3lGX3Qjw+AnBJoddBmKxb0Gg6+0/7Z+QjB/rc7gIa8rG1IflT0h2bDOQnsjxYFnb6HRH1A4HcYokCXvV1dk0PO2fyt1SZIrvuTvWPBZ3GtFxqV4wkVzA9y0RmmbNND9x5yI6UpBCw/TrAUUJhvUhuUGMueJaPPi+KcffxyAb/+/d7HpYEhzcGWKRNlHizkYRt3HTWk0wmbAdNjAVhvWKTwFlW2tymEwYGDt3snbpyhLvB99QHbD+NtGEa9NRmQ3APr4togMR2haRGQTkdskTIJKq4/Ev+YKRNPrIsdRGY9AD9OWlbAoK9telCXOzYBqGFPl3AkTZ/dmmoOtR8IseXiWxrn3GaTPCTY/JiN8bj6JUbHbymnjjV6JxTpuVm7HXKy1Gr2OhKo8hRyi1iBIJ6NPAFbKUMixeOtQlELT7QC9KYlUlE4HQGbaR2/KrEV5m9xX48MriB8XqYSNaekpeVNtfVg2mNn9qegNHvcGOhu8QKYeO9mkzKnlnhwJXl8OraGIY+SxLF6Xj60bdm32aaRnW0apNiz5NLLnbAIt1l25SlFWnLAG2vU9zJVGGw+F1y8L4fTQWJx//yCpeUnok573qA2GNH4mmKEX8fQffhGQfSXZl5Jsevry3QvNbi/K6pWpW75uAM0N8ExBak7+P7GyvpdebXOqTW9HcwNe+f5/orx8dk1hzo0A5wY2sIE14Wd6GHIh9Gr+Uu3mF4NZ8iL6vdXQ6VXE58t9uW3CwUal91tCMSOpzyCcVoxb0N5Ul5n2W8HLWBzEDHUt1HtVbwo8q9urNGpOVz1EYOo928b1mo0Wo8Nbje0KkF6FYpkK51krfsR+5aQlc7Zi5VKeRnrWj6aV1xBR3NXdrjhE3JOQ25HbE64v05JxhquaLRvWQk8oNe9TH5Qiwk5ai+IT6viSK35PPgwA4Sk6Oy36rqbXg15eBbTkOo3q5XFvGDH2LN8QqvF5bete1p7fxhDrYPpeDySztBfFPzRbGo70OUFt7Kc3pIvHG1RBWCIc6+qxcgI7p6Pbrf8puj6OF9CbAnGbHH54P5ZDA3XT/zQgg6ThOTgavikNhuT1VN2TP71ratb8qIS7MqpHpd26E0BNHkv2JTkcVHwYdx36LNbipcfA1gp1HYyG1yppX7nACj3gJjWs5dYLTId3rrEQSflDaGdnu84hzsmZfe70RbcV5+nc9KSMRsY5OrNHF9r3HXoavTyOOBb3WhQmW8s0Bk2aOcHIM1WChMaJX5Npkt0PLnSt28mRGfc89Ep7wZDo0YwVR5zjEyTPZ5zjEyTPp2TqEgw9Lx++4RcauK9l0Bx5Dv4BOW6f+ldVxI+LjP2gu6qq02NI1OxV/7cqOipQFXrxfa5coeGHrNR9r8r5K+M6Wx7uvqbrQsc1FQ2nrSjPN0VUwl0ebxVcqfRoasFvi1HcdUhyen7o7l++rMO62G+tYJZcZm5J4b9HWontv9/Nw3ohVO/MkepI9Qp/7dbibRHgLCRGgjtyH8VbDlmcggBxw370pTKEHZ/+SikKeDbuu6mNKSs9WSKwdPxY/4F5cuaC7N7Tn74OYFXKvMFDNey+BHZWI7kUirr06fT/5HxbMHQ1du+Tv3sVui05LBR8S/ZDgEwbqunisRZr1pZH5Y1THpO0bPPXSF6ElXF54w6/4DB7o8mmg803lykrZPc+9u/GMcvt18KsCGqjfhQMdbIB6WnBym4/WlaR4Aw/I4cXILkdFPv38h7QbSU+5GFUNAYPBWtmyjKml3n1X4+G5+ljLBh4OR+93HL1b3rvaxx6eC9OJiA11xL4cbY3EQsJRp8MInLdep/Owk0+QcYl/bqs6dj09IVFWBf3Wgy93H68xlyZ7zz+tWh4Etit49mxXbLNnzw1xNDoCsvlFB/efbht/TcqQ5x7cJzFe+TwKHEiFemrxOGbUopi84/K6FV5H7/6+Rxbtyxw/vAIwXDICl8Nh9Fm6CGG/SSZ4SrFL7UrrvqG4OXH/hP16Z/xrtM3k/wmHbqbdq5FgQdgVKWRUC5/Yh1anU4+wEGS58QRZ9BS0O0AMyRFifZVDWRqbkYxHbVStGr6rYAi2QHJmqUgyW3UMcrUZWD5UA7LnxWfaN1vY7tW436zomGEz5lmK29ifechbHXtNHwrQNgC3woiir1TpT40R1LtKe3RZhE+fd1BvvytuzDqLS9IcWYmJ622Qqt4lqWrhDuWF44P1xTjFsD43/8LeX22VikkpAHQl0zee8MbvJEd4sfTkv6qbsuHutk0GKr4aOeS0faMRvd1aaRa10/hgdse44uP/TxWScMJGwUSdYE96vDAbY8B8IUn3g9AKuFgVjy8pNYmF6Cto65rIxuygQ1sYE14x3oWbzZW49e0s1rkYawHaphRGwvaqPQU9HnRNkQB2ng47YzAWob6iCAxEVAfkdsoTIKTFW25+bVgrcu7LxYjFu/M7hUqM1k8SyM7UsE9LyspG5td0tN6RKkHRBR7Tkq0vQGVVoifgHpWqZMJjCpYy+s7h392z4+i6YfPXwXAzFyBRpjBqp/tR2z1ELbAqKoGr4CvfPVunE1eFEAFycJtLgnJmZmWy/YfazWA9WoEK56I1czEMh2BrTH+9/8CgIl/8l+55ulPce+2Y3z7e7cB8NEPPM23v3cbRlVETOKGYjgfr+IbrTe8m5JM35oLfvh0ai4UTjlduil/9j/uRWxv4FaT7LlRxvHeN/Qa3z53LX/yvV/AK7o88J4fAvAXf/UBsthtCmTCC9YVQN4wFkim70Q5wM6JNqNRGzFJVHzcTKtTc72IxyYkV6LkRGgMBpGxWLpSutNmSVDZIn3dRDWgPGZgVKXhMMJ6M/X/twp6LLBfPZ0nu62EfUQOR4wbZLxDnM5T2gXGcJ3ENhlfcFZSBIBZF5S3ytvKybTEgI0qXVymF2pp74VItMhyKM9l2bRlkU9fd5AHn7lTHpetoZc1UnuXKSOPObNzBf9gH0HCx03qNIdDct+8ZOF2MwK3b22+eHx41fW/cIh0zdOf4pXbvsz4D34jerh+PH0Fui0NgDISbibAqAo+vPswB7K3YdRCUuRtLvaSQaCDCG1poEPudNA1DNAcwdjwMmeqQ+TDIc9/ffHnCJYTBBmfxJTJF55+n7wO0TpBl9FZKy5qLIQQfw78EjAbBMHV4bz/C/jngNIL/HdBEHwn/N//Dvwmsuvnc0EQfO+SjuyniPS83yYNEM2fcaiNmKRn1s82ogxEnJhXzXPyQZsRGTgUUNohGb6zZ+XTurIzQe6cy+yNJpmZlmeRfcWm0We1yRSuBWtdvjbqt8UtKjNZRC4ggfQ65AH75E/AYt5CvCGDvUHILu2kBLkz8uGz83rkWSxe42NU5DVu9nt4CQ03o3dVhV4ISocE4GFLehYPPnMnIgwqmoN1XDtN/ViRwkm5XLlZxB8J40Blj0TIvFjGYOlaX3ohS+oxsC8Ys3DTGma4fmeKWdsqrfm9245FMQzlbWzOljjUN4CREJF+6f/f3pkHSXKW6f335VVnd1cfVT3dc2hmpBmNjtUB6DKHDhBysJaBDcOasBezirWwZP5whMOxsQ47vI4NYoOw18ZmjYS8RuxqwxgwBFqxgJBZsRwLIwkkodFoDmk0R89M313dXVlHXp//+PKq7uru6jnECNUT0VHVWVmZX2Zlvvl+7/E8wjbwCpInjl5LuRpQ3RfewGaAtSRXeRaR3kgarRGfiSMVDFvjTE0Zx6FBm4/e+EM+v/9O+m+o8tGdPwfgiyfviQ1F5E1s1mh041l8CfhT4C9WLP+vUsr/nF4ghLga+MfANcA48P+EEHullBe86OF8dUMiWMsS3QmwlkXHqYhVCxIXvrC5GzQ7K8jOKiEcAHMZmsNhIHBZ0gyZ8KOybXNJxEVEli3jYKZpB+SmorqDALN2cQOckW5I/qxGATBrUF8eIB9mVXVHcWFYs3osE2DW1KVkNvzYYzDqyZSkUTYonAmlD8bVeXQLGtkNBKzT+Mr/vQMA35JxZiUH8T6uvmGCg89EDFdqX5mq4Np7D3PgiX0EphdLChamfeYLPpnpTMzCDetPQ5Z26OSmwq3r7VmPKJj5xJO3YKACncc+8jAAe7/0AJ/76KO8WE90ZOfcAsOmzZcO3oKX1QhCMeWBFywKk6tvl+Vxg/qYZOeZZNnNbzvK/peuwFoSTD2rdGA1V/CFw3dT2LVMwzH5wpN3A/De33yeV174jXDKExoLQ7RJI2yEDe80KeUPgTUoTVbhg8D/kVK2pJSvA68CN2/wnR566OFNgPOJWXxKCPFx4DngX0spF4CtwM9S60yEyy44LmTq1GhpGwQ4N+dRQBKraI6wYhqSBPm0VuQOqu+4/UknpT2qkalqKsBpa6kAp3ZRA5xyfwnGwhLpW6rUpooUR2tYQD2MA1jXLOJ/Z6BNYCgKcBZPCYx6KNGX19oCnNW9hMeuXnPTm5ve3fUPlUtdDucSP53bxZGJUYr9qp7kmRf2UHz3ArXT/fQfUr9ZqyQ58MQ+tFsX4FAfMhQRtis62dcNAlMyd61aVjizco/tGDrUebzHT5TRF9SP+MF79vOjycsZLy6x90uqQ/XIJx7iqkceRG9AfXx1gBOSmIe9VeL26WQWJK1BtSyzICm95jBwov0affF7+xAjPvUdHiPbVDypXKhxcmGQ1pF+vJLP9muVK/STr99IuelgpmIWOopLtFucq7F4CPgj1JX/R8CfAPdtZgNCiPuB+wGyet+mB3CpT0OiWMW5TkMKU8G605CLFbMQt1QhnIbI/SUKgHGgRH2LKsQCcGslVRuSkjfsZhrSd1y9t8fDZRWTvuPdG4y/+Sul/ZiehmQB6qpG4ebfOsTBb+yjSFIenakKPvKxH/C1L98BeIjQBS9M+yxcJ8hM6wwe7i7QOr/PZPTZ1eMtjy3y7htfA9Q0RHcEvxwc5nMffRSAqx55kFfu/zwvtFo8Nq9a8efdAgutPL88sbUtcFo4LeibUNdbWoWserlFbYdk9zeSZfd95Ekeevp95E8aLM0OA1Cvj9AaDhi/UX357PNqenL/7zzJX790F62ijtGIeEE2Nw05J2MhpZyK3gsh/ifwrfDf08D21KrbwmWdtvEI8AioCs7NjiHipNAzelyirZ9DP0hm2cdc8mn16bHuKajGLnWDWXGT12ZvUHNZxg1coJ6okbGwlpNCLGvZwwwrEfWwlNq0VeWiZZsYto9lJ59b9iqmzguKuMAqrCY2a0rCMImVhOSxNS1eJ4JRD1a1iavlRlygFUX+N4u4qMsVbQzXUQHWiaXB+H3UUp7OxmiubOO00GsmRr1zEdRmUF3O8VqxHO4nzHpYIo5R6A14odXihkyGx8LvHF8eYsBqIm0DzZPojZDnpCnb0psJOl97uq0pJrSwl0ZvKlWyeTvURGlcOBHtczIWQogxKeXZ8N8PA1EN618B/1sI8V9QAc49wDPnPco3ACurNyN4BR2r24hNB7gFERsMp0+s0jRtWzflYEXBP3tUIzetXgH6j6pU6sVROl0xnqIyGG5R4BZl23KmV68LYcYgVRHp5dVF3qhItDBr0agk+qmbQaMcTttSVZtGXaU/Afb2L3CwMArQ1jH6Sm3LKv1VP6fhjTo0sWJJwcw5/s737jkQV2Y2KwGGnWQ9QE09Hpu/jceAPxn7BQAfqpW5t/IiB8+OEhh5nDG1fnPZIjfb2VteaWS/evzteCUff8mIa2OEK/BKPp5tkSs4NMeU4X565sp4+hG/Ghc4GyKE+DJwBzAihJgA/gNwhxDiBpR/fRz4JICU8mUhxFeBgyiCwH95MTIhPfTQwxuPDY2FlPJjHRb/r3XW/zTw6fMZVDdw+1WFj5/RMObMVY1kWpcNiq0+PZ6CqKKskJJ/1sIZDNmltqjHUnNQJ3tsE2PsU0LL9pZwCuEkIjX2eOJl2FsM6lvVZ61y0qTWLGcxa5JGxYynAK1yHrd44VzLlbAXc9AX9XOItlhFfUuqYK2iUR8LVjWdAbSG1TQpqozshLSn0i3MMCjohw9ttyBxC8nyCF4eGuWkkezgzChuQeLlNAJTzUu8rIawN3cetXU60aNeD8MWeAWJsA3m3EK8bN4tcHx5iA/V1HTlm3ue5ENH76HU18DLFtAs9Uz1s+BlV49L82QslJzep1lq4s0WUuupV930sRdy6OH0teZkYk+i7fXN2qK+GVzomEVtq7UqZqE5Pl7Rirs3NWdzzn8Us4imIYEJy7tUILNwJojJZQuTLk6oIZKZCWn+zALZmSZ2pUBu2sXZZcWfF0qbDwh3i8JAAydkjzZrtMUq8pNhUVlRkJ8OcIudYxZmSPdm1FNdwLVMqqksCnyee6zAqCduuZGKCxm2xLCTmIXmCLb0LzE5PYjRCDCX1N2k53VkQWJMZxSPxQVEZDCGzYTmcaGVZ8Bqcm/lRQA+dPQevrnnSfb+8OMMN2XcLZqZ71wG7/QZq5TIHEfHd3UK84LWULJctzVc88JX+r5pjUWznOrSOw/PYnncgHGjo2dR254Ny73VhNwpal17FuaSYHmXxLe0uFLTWhZEN8jcdcn7s7cZcbn3wjUqE6E7ErtSwC0KFndZsTexcE0/zUFBbnrVLi8ImkcH8MJqzMDSEdvrWC8WsK6pMrtNGUtzwvLZ4OMAABuWSURBVKK2Q5DdU43J6GtT6hwVz2gsb1fekVtofxJGqdOQ72vTxDbNParwycx42GfyGON1dpXnOPqiiqmfWBqkWRY09zQRc+pmMcZtjryyDfb55Gd0lreq39fLCawJSXNXi1ZFLdv1jQ47TcFcI834Wq1MqxVee7tt7t1zgCeOXsuXDt4SL/vlia1I2+DgWRVTKfU12PvDj3PkPX/BO77/ACL0Ghav8QCTwEyyZIFJGy9pBNe2ePCWp3mY93DT7hMA7D+0G83yKRQc7OlC3Lo+caTCNk+2FWUBm+o6vTT4LIwReduV9+O/cjReZmzfRuvyCtZLxwEIQjJe6Tho1+1r43CoXhOWuv4syTXJZRtcB0wLWqv5LLybVLlwJF0njXZF8MypKsFAXhGohgQvQd5CPzOXkOdCQqq7HI6vrryQ+ruuVK7jClnDyDXXHElgRbqZAY0RA82V9B1Tj+pILQtA8wKCmErOxevPYCy10CISmog8xTTwSsk0xqjW488jlXh9vhYer47wfKQRRtkXVFSy9q7Lk/2GY9QcueaUwo2Ox1Xan/nTTYKs2maa1t7PJ+phXk59blUd9BXl3n7ebFsW/a/NLrJ4yzaA+IIPDEFgJBd8YKhsgpcVqSAeZBcCAkPw4X//FN/5V3eo8fpS9YqU9JgAN93C3gnSEOj19rtLn11i+o5xrFoQj80tCjLVYBU5bjRmUFMNoylxi4Ln/uNDvPtTn1TbayqSZT+jtZUHmLZHoGuYC000WxnN2tXDOAWt7YbX/GQ/6f0BZGfdVfIHzz33P1ha6o6w99LwLIQGk7Nti2QxR+a1aVq/sRMA46cvx5+5g7m49iGwdAZ/PovMGMzfqnLK+SmXzC9t1kNtu5pXm3aAWfOpj5rx/wD1d5TxwwuueFZdTK0BndKZ7lyWuWtNMgsSzSF2c1slLS60KU4E1LaF+qIHXJolDa8IgaGmGFPvlJSf0Zi5OaB0QIuVs7c84zB7rcWWn/qJsegCkde1UfJ3+m16XCCkXH2Jlxd4edXMBLC8QzB0yGdphx4X9UTGZOmyAvnJyCioPH52LmDqLo/CUWVk62HR12XfsVYZi/Uwe13Itm2pzIrRCLMhoX10b6whDhXJzkF2LhnD5G0Cq6rx1//mLhpj6jy0SoL+f3CWqSMViq9H5DfrM3XXKxZ9x1c/iufvasZ8FJqnpkfVfSIu4Y7Op97Q4qyHZvkEtolwBe/+1Cf50Z9+AYBd3/49csczZKrJ9q1FVUgVGAJzIVk+c52Bn5OItiEJ3KGAzJSOn5Nxf4nehPEfa5CqS5K6iNQYu0KPz6KHHnroCpeGZ3EO2GyB1FpwCxpuQWv7H4if+rkpSWsgbHxaJ7rfCa1BgeZAYzQZaxRRj7YPsLjTJLDUZ1PvDBmcJnUWrlbvazuJmcCXtpvxk7QTtA6M4puBVRXUdkdBXg2vGFA8ptMaCuJpk1WF2phObbcfd5L6VoC0JFpTUNuhtiWGmpSHl6k+WwESj0IWPUTNaBd78iJW70C9NxI18gitSnJsmWkDe48DjkZmWl3GkVdRH0syB7UdUDypUdsRoLkBczeE53fXEpMLyouzbwzpB3/sozVdpK4jfJ8gm0wFhRtQOJNwjqZZuK1Xk8C3l5PUd3hgBgy8oOIm9lZJ4bSadjSXwyxeVgUzF6/x0JuSXd9Wiu2vf+DPuOIHn8ABrIPqh26VBKXvhWNMqaybNfBzqvCqsTVkKD+t4xgBbp+GuSwIwsxW/+uQPVuLjw1A6vqmaALetMbifJEJeTVbKbX1tAboehCuhzTXP3WDRzyaA3rc0xFh4LiHm9eoVxIxnWZJa6v0BGhuUTdifkKnvs2n/2hiXKzFMB7Rgei1bWqS4tiM4xfRMXQQAgIoHfOwFtU5aZYFVlXH3hYw+LJgaY9axylJsjOC4jE9NlyaBSAovWOG6aOqjr08vBxvd/inJs5AVLJu4eVBX1rNeSka4U3oJRT+EfpeTc55c0RiTptojqAV6neOfc/g7B1B2LIeZUoE/Sc8Fq9vvyn+2d6f8dgX71GnqU/d7FpTVWVFN9NKNXN92e9IUFw8KeMq0FZJ4CwYWEsy7h51+3T6Jnz0ZhAXXHlZEWY9TPRWi9xxNRW64gef4NU7vsT1z3yM5T1h6/1EJubdTP/mpWMejarO/HUBudPqNyuclhROR+cpRbcw7SmCYpJjErgIv0d+c8lAc9q5GzvBK4K+0L4sO6nT3OJjVfX46f1GIxp7bloDJH7IuG1VNZpliVUVMQt3hNmDI1SuVvGnmbm+NoORxko+ya7Gk7p3s7MCp1/FL8zpyAOQFE4Y2Jd51ELpQC+vjIQ5beJnfT55z1MA/PmRW9FQT/gLCc1TZDXpoGNmYe0bMjBVADOKUTjA9c98jBdv/jJXPqoa0dxtaxMJBwZY81qK+yJpP1+PrOdccMkbC2tKXWzdOEvnQlKzFsovONTGTBqjAvP1c9/ORoYCaBMbGnpeGYb6GJQOaGiuxKq2r98svzEZrGjsjUpAdkbEzVteXnkWgZkE7yKjMXRA4B1ShUeFAUG1P0fppmm8U+W2bdd2bL62IUhmBXE6Ou1ZgDIUwtEohmoRzWENCHArLnpT8pX/9n4A/HFBbkGydDmrip3OB4GhGK6C1J3VGhRtTWFpaG67GJR1MM/yHo0rH32Aw7+rpBKvf6ZTXWT4fQ+coYDsdMjDkcp+bLaceyP0Apw99NBDV7jkPYs3O855GjKrUpbW4q+uDuZcpiEAte1hIHRp1UcxIkLdTY3nAkxD7PH2p62fW11GfT4412lI9Du3SgJzIoO7rRV7FC/e/GU+wG93/v4bOA25JIqyIhV1Y6siOpD1BrLValNRF9fvaxMd2khFvX7XNfH7/OvqqvX7MujLrfgVNq+ivnj77pjgF5Ju1f7XG2iOH2dpAkvHmm+sq6Ievc9MLm9aRf3o71WS4wu1SYJMOymu7iijozuK4xNg7O9aaG6AVzA6RsIbFTMmpekk9gNKPV1zfbz8al3YzMn5jsFTrzKAHuqM+n3qWM78gR9rk2Tmw56ZnR6F48kzzN7pYSzpVJ6TZGfD/Vtax7EvXm4xeKjZtswrGMzvMxk65GJVW+jzqWvkclUjnT+hCtIO//MhclMajdGAgcOCZtRfMhSQmdf47X/0A5784/eoc9NMNFiXtxqxyz9wwkV4Ej+nqepgoPSaQ/Xy9idGdCObdUnfqRatkjqXubONJJiZwref+gofOnoPE3+5Oy6/9y2h+FZSRkFvBvhZLVZ6y8+o669eNqhvEdh7Hayzal/OiM/UZz5L87XTb6KirIuE7EyTIN07EsbaIkNxTtucdamPJHwSfWdCsV/Hj/+ANmWwi4W+MJaSnY/ITIiNAkDhTIBpS/RWQGM4SUVqro/maG1pyYhHo1HZWBhaEdpemGbi4smIOyO64I24ByX636xBdnbjAjTFJr62x7KRUHFhQsOwJZobiiLPRPwbWtx/svJpbS55OFeZccA2MEU8t6+PqXUHTghqO9q5PNKcHIGubRhfiHpJbmk+EPeOzNxgwhktrh4F0HQRV7ZG4wHVuJipStyzZmyYNddgJNe9BOIlZSxkSmdURvlkGebfmw74Aa0rx7FePgVRrtjz1XtPxMsAzGUPqQmkECBCCb3rFDt1fsolczL0+yOV8taKi9H3wdeS96D+F5Ctpp5q4bUjwteJ96t9bP3+osrFp1JdQkr0hhnuz8VcDC8Qx00IY8J9CdcDz2t/Dc+LcD0Gksp4vKzArAd4Oa2Nyl8Eap/qn3C4hgA3XJ7yKs/cPsDIAYfiyUaiPJ4yCLom0JpqDFb4avqy7ebU3EB5FR08C91OVNSjJ6f55FCcehWh4xQYatwRAgOEJ7HHTPqPhwpfLZXClKbeNsbRZ320FRWhQT5ht9IXm226ormzoZfhRmzkxOpkph3QCp/OganO3xOfux3TDG96O8Bo+kzdlGP8h50zPmly3d3r9J0IN4grM4Xvd0yJT/zlbm5pPsD+zzzE7qcUKd3ez66dUiqu+D9/EqpX9yFFqqWhKjl9pn/tga3AJWUsLjTWK9zqJEbbTf1EfdQks+DH9Rnpgi5ppoqv6k7HHz3dr6HVOyxfiWgbK4SF8zM+zbBYrDUo4sKvwSNeXDxWryT9Lul5s58zwvFq8c1e2+1jLZqU93d+0nSsifAC9EbnYa9Cy4mnJxJlLIqTPtXdaixOSdCoBBQmBLM3JGMdfFnVe9THBIMvtU8xWFEHsep/VG1EPF6/3YiJsMciGld2Dpoj6ok//Q4Nt6LGmZmwcAZgy8/8NsEpt2AQvGsR/cnzK4TrdJ2shFmTZKo+u5+6j2N3K6nED3x6c4LMMzf1UX42xWS+ybhGLxvSQw89dIVLIsA5YFbkbYV78ZeS8Ll+1R7Ekh1PTYLwM+k4+Lff2PZ963QVTAOZalEXp2fW7Tqt/tYN8fvMgk9gCdyCFjeS5SdsAsvAzxnxFMHPGWQPn+2q6/TUv7gWoE3EOLCIm9N0N2FvHjzixcGw8gtqO63hDNaSi71F8S1E3kLxVIPa9hzFk402LwVYt+vUKyt305xURRtrdZ0e+sMr4u/nJ6LuUEl9HPKhW+3lBYWzAQtXCaxq+1x7+KCLEZ6viKMDYOkyAyMUI/Zy6jv9Jz3yp9o9mfW6Tl//hOK0TLdvQ5J1abyzRu4nxXBZKPI0LMi/d5r69ysMH3DioKTbpzP9dp3MvIi9rtKr67tJC1fmGH6pfbz67BIH/105FiL+s2++H80VtEZ8bn6bmiu++L193PcRpbX11eOKdLjhmDiOjmtbbH9CY+a6kPC4piozV6I5oGOPC7Z/dzHuOv32D77OrsfvJ3faiJnWjYagOerx/re/BMBTP7sOgI+8ez/7/+1NBJmEVV7qguee+e+//irqFxKtQT02EulpRWskg2H7sdvubYLd26iplKjafhjEsyVeUX0WLQNY3GkQWGp5Y0vYvehK7C2Z8MbS4hussSUbv78YyE/oePnEwDUqAVZV4AwlrfbZaVi+TMMZ8nFC0hVrPjlvtfGQKWvFOCOyYlAVnJvls3BKSSA3O6PRLAeYW+o4L6kT7YXq7LUdAVZVjadZDnCerUA/+FmNxkhSbm0uCZb2emRm1fdKr66/f2u5cyHZ9m1zPPT0+wAQlzXZWqkycaTC/peU4RUjPg89/T50W8MrqWmMWWriuzoP3vI0X/+bu/FzYYYjB42qvqr1PjcXwJn2icCux+/n9Q8+wq7H72fnFYpD+9TMICxaPPXKVWizFtqYMixf+9EtbMtEHKYJU5a2iTj1W9ZYrDQOaSORhlfQz0kY2bQluktbb0jLEuSmZEwKE1VuRkbFS0WllrYb5OaC+GkcvV5sGHZSlenlITOvUb3Wp3hMjxvMakVVjm7NazhD6jxGr4q6Ljlmpz+quZCpi1+s2wy39tjCKkVL0tgaei/zWUb/nmICqj5bIfv3p8mG70E1rVknLfLvnYZfDMVZB7dPYDQgM6vHVIcbYS2imDMHRsmEpL+eneWUXcawNaylRL80f9JAb4K/FD54ZgsU5gUP8x5GPeI2c6MhmL8uaDu31rxGYUq2ZT0AcqeN2GDc+fIHAdBfz0FWQl2lasUplZUrzAi0ltvmWQiPWBqhG7xljcVaxuHCbV+03fwR0saj0+cRciEfQ2NYIzeXpD6Lkz7uJrQeNguvQOxZpC/WyFAAca9K9Hk3aA63G4hz6Q0p3ZTQg6X7TqbOhhqsFY/ZgyPo2+ukz5CXU+uvVLtqDSm9ULf//K4FWWnhorypvW87Sb/V5ExtIJYUHNlWDXU9RMzCHe3/pt0nOElMIUZjq0/utPIskhLuzvt1+yQ7r5jizpc/yNPXPA7AnSijceKM0hG5bFzxr0z97flrffUCnD300ENXeMt6FmmkU6HR9AQgM9uiNZLpKJqzEXRX4pHIz0F7nCKzkExHBo6rAKdXhNxkSJm2PUdhskVjOIdZTzyL3GSTVn9+07wV3a5v2O0NSNa8Fk9L+g9HreuSgdcCQI89BKckw/V8+k+oY3D6TIxQPKc+qqVEgtS0yjiH8xohcHSmzpbQFwwy4fTEKwQYtob2UpHihDrn9YaF5kJwLIfedOg7FbafeyaBoZGZ1dG7FOKJlLxWjcU2scJt3Fk+zMPPv4ehQTsuIy8XatTrI+hNYq7NaEqz/9ButvqKkxQUH0XhdDsFn+Yp4SFNbx+n0RCcmhlEfz0XexRPX/M41z/zMfTJDF6/z80jipvzW/7WeAoSxSyEl9QHdYOeZ3GRkDYMayGwuutK7fzdzdn5wDK6+k6zLGlu8Wlu2ThOs7IvpFOfSISomhHAGVCxDC93/s+qdF+HHO1cmdsckR3HVt+2uc5XL7f27eKMuThjLk+cvg5Ztfjozp/j9ge4/YHSHh0OaA1JJQBU8nFGfNWXYvlonsQdCnCHAuqXde6c9rPaqv03Rz38RQs/mxxb1N4utzco71hgyLAZMmy8oowNhdaSSUZkEzPanmdBkg1ZyZrl54xzzoZESAvcplvR08akOaDHWZJID8WsBzj9Jrk5lTaNYhjR5xcL6ThExKnRf1jHK2o4qo0Doy5oDUTrRkHH8LNGEKdMnb4k2BmVdaeRDoR2g/kXy+H3JBlbo1XxcEt+zJQFKo3q9CeBVWdAMnT9DPMvlpG6wM0mrdzmkpL6W0mxvxaagxqFiQ4fmEGcOv3Ck3cjCwGf338nhV0qptI60s/4jZPM23k8W50o3fRxTYtCwSEwLDJTYZFfX+dW82ZJxTHSYa73v/0lnnrlKqhbcYxCn8xwRV0R6Pz+1A08vP92ALJ7a/Dj1eQdUu/+N+h5FqhpSGQkTDuIpyJ6w8Mr6OgND73hnVNWpDWo8viZBdmW9UhXVGYX/TjVai45mEsObl7DWnLxclEpt1DvlzbukbhQaG7xyU7qOAOqA9VaVH9eXpJZlFjzGlZV1VpojlrHy2lYy274p5qtNFeeU/ZjJdySj1vy8Qe9mGIvbShAGQrNVdkXa0liLSY3g/Al5rKPuaye5l7YvmM01N+FgF/ysGZ1RkaTmqEoXQqQKzjkCg5uaDTs6QKaJ/Fz6i8SbWqn61/bY9Nm2x8eXr/P0IDN70/dwGdGX6B/xKZ/ZH3y6m7R8yzeYKyXAekENy/IzXFRMyBpRN5EBMWkreossjPnznuaNhZePmIO35zxHb0sESONMiBRnAJUHKMTqs9WoMM0xGgQqsJ1d27z02uM19X4/I/fC8CD7/o+n99/Jx/d+XO+8OTdAGy/doqzz29RBVNjUX+MGrOstAgMK2n86utsGPIz3ipP7KmfXYc21kScysVZj5tHTjBk2Dy8/3a+O3IVL978ZQCufPQBpO4jvHZvYjO0ej3PooceeugKb1rPIq0bcj4w7QDdCTBt0bH2wrD9OJPgbzIgl1mQZFIdqqYtaJai6U4Sy9CcsPCqlrBZm/UA4QaqMKvuk5tLWswvZoFWNPUAxYWhxiIx6jqZkKBFc1W2x6pqsW5IlOkwGkFc6GM0/Fi4pzmUiZ/M9UpETKNjdakcB9D8riq0CkwYSMUZojHIfQ7FU2Y4xpCoZxGK75nBeULFOzRfnd/crEf1SpPclIgzJBuhXtHJTa1eXqjY5Cw1oD9/7B4KwBdP3sN7f/N5AH7y9Ru5/3dUuffTM1cCSnsUlFIYKF0PUCzc+enVWaJ6xcAeF+RPJss+8u79fO1Ht1CYEXEdxbf8rXhFSXZvDcc1Yh7Pw7/7ELf/9H6kkRSASUMVp3WLS6I3JCK/0cshT2OrRbCin0Pfd0VbrwhuOHePej9MA2knlT7urVfH763TYT9EIYuwm/ErqN4OoK3fA4Cp2Y7kNwvv3xMHQ9MYOLy6TXlV52mqd8Oo1gnyar6pLdbj3g3jqIqgib4iNJqQyyavgFyuIfqKzN82Fqde08HSdIVoesoTSRBUnleT88DQ2pTOnAFlCLNzTqy6lW7/TvdsRO+lqa9qUddnFju2qMuBYkxcREYd9/StQ9THEg5PZ6i9chGIGcTNGow+q35faYiOlYetQYvMQntMRxoq62Iuu2iOjz6bxBL8kX4CQ8OYVb/dsX+6Ba8QoLmCoetn4vWmTgyhFV0G/i5L8UxybF5Wwx7T6DvlY9baj1lzJW6fMop6M4hd/0QpLYlNWIsefij+kz1bQ3Tonj354dE4DjNzk1q2/Um/rSITWPV/esrxt488wpWPPtCWPZn8489Sn+71hlwUpGsyIkQB0YhjAVSqciPFsCiVeS5zwbTuiBqXDFvV22s5MtUA3ZUs7E1+ar3uQd5AuAF66MnkwpoHt9+KZQf1DQhuVhLNBKa2puKZNHVEK3kPULsMnKGwPXxST2QPDidbWbrSx5rXyE9t/FDzcoLMQqflGkZDwErKkoyOTB1D6aZpqs9WaG1zCL5aZmlXeC63OZjHctR2SLJhD4zRDMhUPXIzktaggR9mWfSQQStSEAMwXUmr2PnMBIZQcgehsZC63kbXH8He6+CeNZFCi9vM4x6PTPKbp+sooN2LiEiAI7q+W8eP89h/6jisjugZi4uEboqgzkcQKJ2S7W483a1nNLw2Bq11t+kGqzyLtZD2UqL32RkRN6JdCKw1PUtPjdLQWz7BJgJ82dlEzHrVtpopnghTiT7HfJimiAu6OnkWae3RlZwbEawUw1WEdN1EvO81PAvhgZ+VcR0GwO6n7kP4T2984NH+ul6zhx56eEuj51lcJFzsachaXkW6Nb59X91t18sZb9g0JK1/kg6spvkqknLzjT2AtYq8AkMoOsENpiFTZ0tQ8RgdqxJQbqv6VHUdRht7dnSsgSGSJ7ifeBOR96Cz2qNYybkZfX+taYgz4qO5BplqUgYuQ77NtDDyytRovP3wTr91/HhMy3fs7i+S30R+4NfaWJgLjZCnMTybUVDTbq7zrfVhVR1ag7k4ThEFtoTrx3+w+XLsc0FxQo0hInDNzwiWx424UjQ/42PUAzQnIBdWCOp1LxxnO2FvJBvYGs7wRsEZCig/E2aH6gHgU5/VyM8mRioiz+07ufFv1hzUyE2vXl6v6FjLq29AucLYDf/UxGhIvJ+XyS4HDB0IA8U5tZx/Mo2xfxBQRkFzJUbNYfltGXIzat3CZLKfhb3qnFd+4TN3dfv1EBnD3IwkO7dxNatZanLfu37C43/4PrJz6svTN2bJVCW5VEBZeMowRJSL2UX12ek7NAYOCX60cCN94fVx9dEHubb8B+vuN41LIhsihJgBbGD2Vz2WNxgj9I75rYBL+Zgvk1KWN17tEjEWAEKI56SU7/hVj+ONRO+Y3xr4dTnmXoCzhx566Ao9Y9FDDz10hUvJWDzyqx7ArwC9Y35r4NfimC+ZmEUPPfRwaeNS8ix66KGHSxg9Y9FDDz10hZ6x6KGHHrpCz1j00EMPXaFnLHrooYeu8P8BWGCfnZ6mbLgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f86e5e1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "3. Fitting and predicting using nested cross validation. This could really take a while...\n",
      "calculate performance:   0%|          | 2/13860 [00:00<13:28, 17.14it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/ljia/.local/lib/python3.5/site-packages/sklearn/linear_model/ridge.py:154: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead.\n",
      "  warnings.warn(\"Singular matrix in solving dual problem. Using \"\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                                            \n",
      "4. Getting final performances...\n",
      "\n",
      "best_params_out:  [{'depth': 2.0, 'k_func': 'MinMax'}]\n",
      "best_params_in:  [{'alpha': 0.07943282347242814}]\n",
      "best_val_perf:  9.997519678873179\n",
      "best_val_std:  0.8300102352356199\n",
      "final_performance:  10.733201547185335\n",
      "final_confidence:  5.674809916065444\n",
      "train_performance:  5.4765013560475015\n",
      "train_std:  0.23352968995162204\n",
      "time to calculate gram matrix:  0.5694379806518555 s\n",
      "\n",
      "params                                                      train_perf       valid_perf       test_perf           gram_matrix_time\n",
      "----------------------------------------------------------  ---------------  ---------------  ----------------  ------------------\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}   42.32±0.81       42.41±0.79       43.41±6.46                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}     11.33±0.42       14.84±3.42       14.33±3.66                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}   38.22±0.71       41.10±1.37       41.97±6.37                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}     10.47±0.27       26.86±7.07       18.53±24.16                     0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}   34.88±0.52       42.17±3.52       41.20±13.03                     0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}     6.04±1.42        24.64±7.70       29.59±31.75                     0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}   28.11±0.49       66.39±18.97      84.47±114.38                    0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}     51.98±193.56     203.10±618.19    198.30±673.21                   0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}   19.95±1.57       54.94±14.26      40.43±57.71                     0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}     42.18±95.39      268.51±577.11    169.75±280.85                   0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}   18.09±1.62       58.68±21.89      33.96±12.40                     0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}     45.42±64.13      253.47±261.03    349.89±490.15                   0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}   14.49±0.97       69.15±13.11      79.04±116.21                    1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}     101.44±318.73    740.76±2656.68   699.40±1944.24                  1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}   14.48±1.34       73.34±30.65      78.79±81.69                     1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}     199.01±686.71    1064.00±3605.01  1224.24±3274.23                 1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}   14.90±3.57       79.58±21.24      105.43±115.74                   1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}     96.65±180.19     395.95±314.77    672.60±1045.01                  1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}   14.43±2.48       82.87±20.21      82.90±86.66                     2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}     68.04±68.71      404.44±372.45    351.74±344.39                   2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '1.00e-02'}  14.39±2.22       72.83±20.96      73.24±86.32                     2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '1.00e-02'}    67.44±149.21     411.60±914.99    468.77±744.76                   2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}   42.32±0.81       42.41±0.79       43.41±6.46                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}     11.32±0.42       14.35±2.39       13.99±3.09                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}   38.21±0.71       40.71±1.07       41.76±6.20                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}     10.46±0.27       22.60±4.98       16.75±17.01                     0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}   34.89±0.52       40.71±2.35       39.66±9.78                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}     5.25±0.53        17.97±3.79       21.40±22.78                     0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}   28.05±0.49       55.14±13.11      67.61±77.83                     0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}     30.91±73.52      133.89±328.37    117.78±294.95                   0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}   19.66±0.92       44.88±9.52       34.52±38.66                     0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}     47.58±113.12     210.11±422.78    107.80±169.12                   0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}   17.71±0.95       47.66±15.05      30.17±8.10                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}     69.13±158.72     370.77±980.73    263.75±422.53                   0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}   14.14±0.72       53.96±9.05       60.65±80.08                     1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}     36.25±36.61      199.29±170.57    198.99±212.11                   1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}   13.95±1.12       56.42±18.09      61.81±57.55                     1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}     207.92±631.69    1115.80±3523.44  463.61±927.33                   1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}   14.30±2.51       61.86±14.80      80.17±79.28                     1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}     832.03±4232.86   1984.30±9289.73  7236.35±38021.47                1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}   13.53±1.02       62.28±9.70       61.63±58.57                     2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}     37.59±33.06      187.44±114.59    226.13±266.69                   2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '1.41e-02'}  15.08±3.41       63.87±21.09      60.31±59.63                     2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '1.41e-02'}    29.87±21.20      197.52±203.13    255.95±271.57                   2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}   42.32±0.81       42.41±0.79       43.41±6.46                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}     11.31±0.41       13.96±1.68       13.72±2.74                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}   38.21±0.71       40.45±0.95       41.60±6.09                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}     10.45±0.27       19.58±3.51       15.50±11.98                     0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}   34.90±0.52       39.68±1.59       38.62±7.79                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}     5.00±0.42        14.68±2.81       17.01±16.71                     0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}   27.99±0.49       47.19±8.97       55.71±52.05                     0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}     17.81±30.36      54.41±77.99      77.22±161.79                    0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}   19.59±0.78       38.11±6.47       30.70±25.44                     0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}     16.41±24.71      72.53±101.17     69.27±145.21                    0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}   17.47±0.62       39.95±10.23      27.61±5.54                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}     80.91±249.44     455.85±1356.56   353.46±1028.08                  0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}   13.97±0.59       43.44±6.19       47.99±54.52                     1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}     18.35±18.86      127.61±196.94    102.08±117.13                   1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}   13.62±0.97       44.82±10.55      49.58±40.28                     1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}     30.56±38.74      158.08±193.73    190.97±313.69                   1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}   13.68±1.78       49.42±10.10      61.15±54.11                     1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}     130.65±499.79    248.13±379.19    558.04±2064.02                  1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}   14.15±2.16       52.37±9.10       50.91±39.62                     2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}     52.54±69.20      256.53±340.01    212.27±241.27                   2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '2.00e-02'}  15.58±9.62       48.54±13.06      55.56±58.51                     2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '2.00e-02'}    83.81±194.46     588.26±1568.45   322.88±617.46                   2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}   42.32±0.81       42.41±0.79       43.40±6.46                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}     11.31±0.41       13.66±1.20       13.51±2.51                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}   38.21±0.71       40.25±0.91       41.46±6.01                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}     10.45±0.26       17.43±2.47       14.61±8.44                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}   34.91±0.52       38.95±1.15       37.91±6.63                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}     4.89±0.31        12.34±1.78       14.14±12.47                     0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}   27.92±0.49       41.57±6.07       47.34±33.96                     0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}     5.56±1.59        17.74±5.03       17.52±13.19                     0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}   19.58±0.69       33.40±4.34       28.06±16.37                     0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}     10.67±10.41      58.97±103.68     34.23±33.80                     0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}   17.33±0.47       34.54±6.84       25.84±4.06                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}     10.77±7.93       49.39±33.46      43.68±39.86                     0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}   13.91±0.52       36.18±4.19       39.31±36.48                     1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}     12.07±9.08       61.36±57.20      72.92±111.20                    1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}   13.44±0.84       36.93±6.24       40.83±27.89                     1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}     15.52±11.99      86.53±129.75     79.59±97.06                     1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}   13.25±1.31       39.93±6.89       47.84±36.09                     1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}     25.53±44.06      136.67±341.60    169.13±467.04                   1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}   13.08±0.78       40.73±5.19       39.89±26.19                     2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}     15.80±13.47      67.13±36.88      64.90±52.90                     2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '2.82e-02'}  13.12±0.71       38.00±6.65       38.18±28.73                     2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '2.82e-02'}    21.19±22.84      101.93±116.64    121.58±144.93                   2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}   42.32±0.81       42.41±0.79       43.40±6.46                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}     11.31±0.40       13.42±0.89       13.32±2.37                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}   38.21±0.71       40.10±0.89       41.33±5.94                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}     10.45±0.26       15.89±1.75       13.97±5.99                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}   34.93±0.51       38.44±0.92       37.42±5.98                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}     4.94±0.27        11.02±1.32       12.37±9.44                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}   27.87±0.49       37.63±4.06       41.53±21.44                     0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}     4.88±0.41        13.55±1.79       12.90±7.69                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}   19.63±0.63       30.15±2.88       26.26±10.33                     0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}     6.42±3.13        21.05±9.59       18.93±13.63                     0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}   17.26±0.39       30.75±4.48       24.62±3.31                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}     7.14±3.76        26.32±17.76      26.57±23.12                     0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}   13.95±0.48       31.20±2.81       33.42±23.83                     1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}     7.27±1.01        29.10±6.02       30.17±16.80                     1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}   13.38±0.73       31.61±3.81       34.62±19.07                     1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}     8.26±1.28        32.71±5.48       31.17±14.12                     1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}   13.11±0.97       33.75±4.66       38.52±23.24                     1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}     8.91±2.12        37.38±12.89      35.01±18.16                     1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}   12.86±0.45       34.14±3.22       33.68±16.95                     2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}     9.38±4.11        37.88±20.27      37.65±26.16                     2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '3.98e-02'}  13.04±0.59       32.84±4.64       32.77±19.75                     2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '3.98e-02'}    8.63±1.80        35.88±10.73      40.20±22.02                     2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}   42.32±0.81       42.41±0.79       43.40±6.46                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}     11.31±0.39       13.22±0.70       13.17±2.27                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}   38.21±0.70       39.96±0.87       41.20±5.89                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}     10.46±0.25       14.78±1.24       13.50±4.33                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}   34.96±0.51       38.06±0.81       37.08±5.62                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}     5.13±0.24        10.29±1.02       11.30±7.25                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}   27.83±0.50       34.90±2.69       37.58±13.07                     0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}     4.95±0.22        12.13±1.12       11.41±5.56                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}   19.76±0.58       27.96±1.87       25.06±6.65                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}     5.30±0.38        14.45±1.82       14.54±5.92                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}   17.27±0.35       28.13±2.85       23.77±3.00                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}     5.90±0.63        18.01±2.46       19.05±11.16                     0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}   14.09±0.46       27.84±1.87       29.47±15.11                     1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}     6.70±0.63        22.31±3.43       22.82±11.06                     1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}   13.44±0.64       28.09±2.41       30.28±12.97                     1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}     7.19±1.17        24.49±5.14       22.81±10.78                     1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}   13.14±0.75       29.56±3.22       32.00±14.26                     1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}     7.42±0.86        25.37±3.62       23.82±9.67                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}   12.94±0.39       29.96±2.22       29.91±10.66                     2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}     10.82±19.08      43.73±102.72     32.02±42.58                     2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '5.62e-02'}  13.29±0.83       30.58±5.83       30.05±13.67                     2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '5.62e-02'}    7.55±1.58        25.66±5.21       30.04±22.79                     2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}   42.32±0.81       42.40±0.79       43.40±6.46                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}     11.33±0.38       13.06±0.58       13.05±2.20                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}   38.21±0.70       39.83±0.85       41.06±5.84                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}     10.49±0.24       14.00±0.90       13.16±3.25                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}   34.99±0.51       37.79±0.76       36.82±5.42                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}     5.48±0.23        10.00±0.83       10.73±5.67                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}   27.83±0.50       33.09±1.81       35.05±7.94                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}     5.28±0.18        11.53±0.82       10.81±4.25                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}   19.97±0.54       26.58±1.21       24.32±4.85                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}     5.48±0.27        12.99±1.12       13.63±4.95                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}   17.37±0.33       26.38±1.79       23.22±2.93                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}     5.96±0.43        15.63±1.50       16.45±7.82                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}   14.35±0.44       25.65±1.29       26.90±9.40                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}     6.62±0.45        18.62±2.24       19.24±8.12                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}   13.63±0.57       25.84±1.58       27.33±9.08                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}     6.79±0.39        19.49±1.87       18.00±5.14                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}   13.33±0.60       26.88±2.23       27.53±8.25                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}     7.06±0.58        20.60±1.93       19.31±7.21                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}   13.15±0.36       27.20±1.56       27.17±6.93                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}     7.16±0.66        20.80±1.85       20.69±7.71                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '7.94e-02'}  13.32±0.49       26.90±2.22       26.86±9.78                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '7.94e-02'}    7.05±0.45        20.39±2.19       20.95±7.88                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}   42.32±0.81       42.40±0.79       43.39±6.45                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}     11.36±0.37       12.94±0.51       12.96±2.15                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}   38.21±0.70       39.71±0.82       40.92±5.81                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}     10.55±0.23       13.46±0.67       12.93±2.61                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}   35.04±0.51       37.58±0.73       36.62±5.31                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}     5.98±0.23        10.03±0.70       10.55±4.54                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}   27.88±0.50       31.98±1.27       33.57±5.36                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}     5.79±0.18        11.39±0.65       10.71±3.40                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}   20.27±0.51       25.83±0.82       23.96±4.30                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}     5.90±0.23        12.47±0.81       13.37±4.54                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}   17.59±0.31       25.30±1.19       22.92±2.97                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}     6.30±0.34        14.56±1.07       15.11±5.74                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}   14.75±0.43       24.33±0.97       25.35±6.23                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}     6.84±0.35        16.57±1.21       17.37±6.59                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}   13.99±0.51       24.50±1.09       25.46±7.01                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}     6.96±0.32        17.39±1.33       16.17±4.01                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}   13.72±0.51       25.28±1.55       24.62±4.92                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}     7.18±0.49        18.26±1.35       17.12±6.04                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}   13.54±0.33       25.49±1.17       25.72±5.32                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}     7.26±0.45        18.38±1.27       18.32±5.70                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '1.12e-01'}  13.72±0.47       25.49±1.62       25.50±7.65                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '1.12e-01'}    7.20±0.35        18.18±1.51       17.80±5.96                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}   42.32±0.81       42.40±0.79       43.38±6.45                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}     11.43±0.37       12.87±0.47       12.91±2.12                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}   38.22±0.70       39.59±0.80       40.77±5.78                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}     10.64±0.22       13.13±0.51       12.79±2.28                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}   35.09±0.51       37.42±0.71       36.46±5.26                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}     6.66±0.23        10.33±0.62       10.68±3.77                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}   28.00±0.50       31.39±0.97       32.86±4.47                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}     6.48±0.19        11.56±0.54       10.96±2.86                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}   20.70±0.48       25.57±0.63       23.90±4.23                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}     6.52±0.21        12.45±0.63       13.52±4.42                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}   17.97±0.30       24.80±0.94       22.84±3.08                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}     6.87±0.29        14.21±0.84       14.53±4.47                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}   15.33±0.43       23.71±0.85       24.59±5.09                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}     7.32±0.31        15.70±0.92       16.53±5.82                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}   14.54±0.46       23.87±0.84       24.45±6.22                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}     7.41±0.28        16.42±1.04       15.39±3.73                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}   14.32±0.45       24.50±1.14       22.96±4.18                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}     7.61±0.44        17.11±1.01       16.11±5.53                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}   14.14±0.31       24.60±0.99       25.11±5.14                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}     7.69±0.39        17.24±1.00       17.22±4.66                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '1.58e-01'}  14.32±0.45       24.82±1.27       24.86±6.77                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '1.58e-01'}    7.64±0.30        17.14±1.12       16.22±5.12                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}   42.31±0.81       42.40±0.79       43.37±6.44                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}     11.54±0.36       12.88±0.44       12.94±2.10                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}   38.24±0.70       39.49±0.77       40.64±5.77                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}     10.81±0.21       12.98±0.41       12.75±2.15                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}   35.17±0.51       37.31±0.70       36.33±5.23                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}     7.52±0.23        10.87±0.56       11.09±3.30                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}   28.19±0.49       31.18±0.79       32.66±4.29                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}     7.33±0.20        11.99±0.47       11.47±2.53                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}   21.26±0.45       25.70±0.56       24.08±4.26                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}     7.34±0.19        12.78±0.52       13.98±4.43                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}   18.54±0.29       24.77±0.87       22.96±3.23                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}     7.68±0.26        14.36±0.69       14.49±3.73                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}   16.12±0.42       23.65±0.81       24.46±4.97                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}     8.05±0.28        15.52±0.77       16.36±5.48                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}   15.34±0.42       23.79±0.74       24.13±6.08                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}     8.15±0.24        16.19±0.85       15.28±3.79                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}   15.17±0.41       24.36±0.91       22.36±4.57                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}     8.33±0.39        16.75±0.80       15.87±5.44                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}   14.98±0.29       24.36±0.90       25.17±5.35                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}     8.41±0.35        16.90±0.83       16.94±4.25                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '2.24e-01'}  15.17±0.43       24.73±1.10       24.78±6.55                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '2.24e-01'}    8.38±0.26        16.89±0.90       15.61±4.90                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}   42.31±0.81       42.40±0.79       43.36±6.43                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}     11.74±0.35       12.98±0.42       13.06±2.11                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}   38.27±0.69       39.40±0.75       40.51±5.78                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}     11.09±0.20       13.04±0.35       12.83±2.15                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}   35.27±0.51       37.24±0.68       36.24±5.23                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}     8.56±0.23        11.65±0.51       11.75±3.10                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}   28.48±0.49       31.21±0.69       32.75±4.31                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}     8.38±0.20        12.66±0.41       12.24±2.36                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}   21.97±0.44       26.13±0.53       24.47±4.30                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}     8.37±0.19        13.42±0.46       14.74±4.52                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}   19.34±0.29       25.12±0.83       23.28±3.44                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}     8.74±0.24        14.90±0.59       14.90±3.35                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}   17.15±0.42       24.03±0.78       24.80±5.04                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}     9.07±0.27        15.85±0.68       16.73±5.37                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}   16.42±0.39       24.16±0.70       24.35±6.16                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}     9.19±0.21        16.51±0.72       15.71±3.95                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}   16.30±0.38       24.72±0.79       22.63±4.92                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}     9.37±0.34        17.00±0.67       16.20±5.57                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}   16.11±0.28       24.66±0.84       25.76±5.49                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}     9.46±0.31        17.17±0.73       17.31±4.21                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '3.16e-01'}  16.31±0.42       25.11±1.00       25.17±6.56                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '3.16e-01'}    9.45±0.23        17.22±0.77       15.71±4.99                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}   42.31±0.81       42.39±0.79       43.34±6.42                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}     12.07±0.33       13.24±0.39       13.33±2.16                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}   38.31±0.69       39.33±0.73       40.40±5.80                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}     11.55±0.20       13.34±0.30       13.09±2.24                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}   35.42±0.51       37.23±0.67       36.19±5.23                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}     9.81±0.23        12.68±0.48       12.69±3.09                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}   28.87±0.48       31.40±0.63       33.02±4.40                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}     9.64±0.20        13.58±0.37       13.27±2.32                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}   22.87±0.42       26.76±0.52       25.03±4.36                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}     9.67±0.19        14.35±0.43       15.78±4.65                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}   20.38±0.29       25.77±0.79       23.81±3.69                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}     10.11±0.23       15.80±0.51       15.71±3.18                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}   18.44±0.42       24.75±0.74       25.48±5.10                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}     10.42±0.26       16.63±0.62       17.57±5.37                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}   17.80±0.37       24.89±0.68       25.00±6.34                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}     10.58±0.18       17.31±0.63       16.59±4.12                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}   17.76±0.36       25.47±0.72       23.50±5.19                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}     10.77±0.29       17.76±0.58       16.99±5.82                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}   17.57±0.27       25.39±0.79       26.75±5.54                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}     10.88±0.28       17.96±0.67       18.22±4.33                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '4.47e-01'}  17.78±0.41       25.88±0.95       25.95±6.61                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '4.47e-01'}    10.89±0.22       18.04±0.69       16.42±5.18                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}   42.30±0.81       42.39±0.79       43.32±6.40                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}     12.60±0.31       13.71±0.37       13.80±2.28                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}   38.39±0.68       39.31±0.71       40.32±5.85                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}     12.27±0.19       13.94±0.27       13.57±2.42                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}   35.64±0.52       37.28±0.67       36.20±5.25                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}     11.30±0.23       13.97±0.44       13.91±3.22                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}   29.37±0.48       31.73±0.59       33.40±4.54                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}     11.16±0.20       14.80±0.33       14.57±2.39                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}   23.95±0.42       27.58±0.52       25.77±4.44                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}     11.26±0.20       15.60±0.42       17.13±4.83                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}   21.69±0.30       26.66±0.74       24.57±3.97                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}     11.81±0.22       17.06±0.45       16.92±3.13                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}   20.01±0.42       25.75±0.69       26.39±5.19                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}     12.13±0.26       17.82±0.58       18.86±5.46                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}   19.51±0.36       25.93±0.68       26.02±6.55                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}     12.37±0.16       18.54±0.56       17.90±4.30                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}   19.55±0.34       26.55±0.66       24.82±5.49                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}     12.59±0.25       19.00±0.51       18.24±6.12                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}   19.39±0.28       26.46±0.76       28.07±5.58                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}     12.71±0.25       19.21±0.62       19.61±4.52                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '6.31e-01'}  19.60±0.41       26.98±0.91       27.08±6.66                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '6.31e-01'}    12.75±0.21       19.31±0.63       17.67±5.38                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}   42.30±0.81       42.39±0.79       43.29±6.38                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}     13.41±0.28       14.47±0.35       14.54±2.46                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}   38.52±0.68       39.34±0.69       40.29±5.91                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}     13.32±0.18       14.90±0.26       14.33±2.68                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}   35.92±0.52       37.41±0.67       36.27±5.26                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}     13.05±0.23       15.54±0.40       15.45±3.41                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}   30.00±0.47       32.18±0.58       33.91±4.69                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}     12.99±0.19       16.34±0.30       16.20±2.54                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}   25.23±0.41       28.58±0.53       26.68±4.55                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}     13.21±0.21       17.20±0.43       18.84±5.04                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}   23.27±0.31       27.79±0.69       25.60±4.27                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}     13.90±0.21       18.72±0.41       18.55±3.15                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}   21.88±0.42       27.03±0.64       27.52±5.32                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}     14.27±0.27       19.46±0.55       20.59±5.60                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}   21.56±0.38       27.29±0.68       27.39±6.77                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}     14.60±0.16       20.23±0.51       19.65±4.53                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}   21.70±0.34       27.96±0.62       26.53±5.83                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}     14.86±0.23       20.70±0.46       19.97±6.43                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}   21.57±0.30       27.90±0.73       29.71±5.64                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}     14.99±0.23       20.93±0.58       21.48±4.74                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '8.91e-01'}  21.80±0.42       28.42±0.87       28.58±6.70                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '8.91e-01'}    15.06±0.22       21.04±0.59       19.43±5.60                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}   42.31±0.81       42.40±0.79       43.26±6.35                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}     14.56±0.25       15.56±0.33       15.59±2.73                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}   38.70±0.67       39.42±0.68       40.32±5.98                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}     14.77±0.18       16.26±0.25       15.42±3.02                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}   36.29±0.53       37.63±0.67       36.42±5.28                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}     15.10±0.22       17.41±0.37       17.34±3.65                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}   30.81±0.47       32.79±0.58       34.58±4.87                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}     15.20±0.18       18.26±0.28       18.19±2.79                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}   26.74±0.41       29.76±0.55       27.78±4.69                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}     15.57±0.23       19.21±0.43       20.93±5.32                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}   25.13±0.32       29.17±0.64       26.93±4.56                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}     16.42±0.21       20.81±0.37       20.61±3.28                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}   24.06±0.42       28.62±0.59       28.88±5.51                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}     16.88±0.28       21.56±0.53       22.79±5.82                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}   23.96±0.40       29.00±0.68       29.16±6.98                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}     17.32±0.17       22.40±0.47       21.89±4.82                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}   24.22±0.35       29.73±0.61       28.65±6.16                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}     17.62±0.24       22.89±0.42       22.19±6.72                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}   24.15±0.33       29.71±0.70       31.69±5.73                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}     17.76±0.22       23.12±0.56       23.83±4.97                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '1.26e+00'}  24.40±0.44       30.23±0.84       30.48±6.73                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '1.26e+00'}    17.86±0.24       23.24±0.56       21.70±5.88                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}   42.33±0.81       42.42±0.79       43.23±6.31                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}     16.11±0.22       17.06±0.31       17.01±3.09                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}   38.94±0.66       39.58±0.67       40.42±6.06                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}     16.66±0.17       18.05±0.23       16.87±3.45                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}   36.77±0.53       37.96±0.68       36.66±5.29                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}     17.50±0.22       19.62±0.34       19.61±3.93                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}   31.82±0.47       33.61±0.57       35.43±5.08                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}     17.82±0.17       20.60±0.26       20.58±3.13                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}   28.48±0.41       31.17±0.56       29.09±4.87                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}     18.40±0.25       21.67±0.44       23.46±5.68                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}   27.29±0.34       30.84±0.60       28.63±4.84                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}     19.43±0.20       23.37±0.35       23.11±3.54                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}   26.58±0.43       30.56±0.53       30.54±5.76                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}     19.99±0.29       24.17±0.53       25.48±6.11                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}   26.75±0.42       31.11±0.68       31.36±7.18                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}     20.56±0.18       25.07±0.44       24.63±5.20                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}   27.14±0.36       31.91±0.61       31.18±6.49                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}     20.91±0.27       25.59±0.40       24.93±7.01                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}   27.14±0.36       31.95±0.68       34.05±5.84                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}     21.06±0.23       25.82±0.54       26.69±5.21                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '1.78e+00'}  27.41±0.45       32.46±0.81       32.82±6.79                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '1.78e+00'}    21.18±0.25       25.94±0.54       24.49±6.24                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}   42.39±0.81       42.48±0.79       43.22±6.27                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}     18.35±0.66       19.20±0.71       19.08±3.44                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}   39.27±0.66       39.82±0.66       40.61±6.15                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}     19.00±0.16       20.28±0.22       18.70±3.97                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}   37.36±0.54       38.41±0.69       37.03±5.29                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}     20.29±0.22       22.19±0.32       22.27±4.28                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}   33.07±0.47       34.66±0.58       36.51±5.32                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}     20.89±0.16       23.38±0.26       23.41±3.57                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}   30.51±0.42       32.84±0.58       30.63±5.09                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}     21.77±0.36       24.70±0.65       26.52±6.25                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}   29.80±0.35       32.85±0.58       30.76±5.15                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}     23.06±0.59       26.52±0.62       26.23±4.19                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}   29.49±0.43       32.91±0.49       32.55±6.12                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}     23.87±1.26       27.51±1.30       28.92±6.69                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}   29.94±0.44       33.66±0.67       34.04±7.41                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}     24.34±0.21       28.27±0.40       27.93±5.64                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}   30.48±0.38       34.54±0.62       34.17±6.83                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}     24.76±0.34       28.84±0.44       28.26±7.30                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}   30.56±0.39       34.66±0.66       36.85±6.00                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}     24.90±0.25       29.05±0.54       30.06±5.48                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '2.51e+00'}  30.85±0.46       35.14±0.77       35.62±6.91                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '2.51e+00'}    25.13±0.54       29.26±0.78       27.82±6.67                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}   42.52±0.81       42.61±0.78       43.25±6.22                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}     26.55±9.61       26.88±9.46       26.63±10.74                     0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}   39.71±0.65       40.18±0.65       40.93±6.27                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}     23.99±5.74       25.41±6.73       22.92±7.41                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}   38.13±0.55       39.04±0.69       37.56±5.29                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}     27.75±15.90      29.37±15.83      29.32±15.18                     0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}   34.60±0.48       36.00±0.58       37.86±5.62                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}     30.56±22.50      33.06±23.69      32.82±23.23                     0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}   32.88±0.43       34.86±0.58       32.44±5.36                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}     27.29±5.35       29.63±5.42       31.61±7.82                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}   32.70±0.36       35.27±0.55       33.38±5.51                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}     40.98±41.35      43.13±38.99      44.21±45.43                     0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}   32.85±0.43       35.74±0.46       35.01±6.63                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}     31.25±6.27       33.76±5.10       35.64±9.24                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}   33.59±0.45       36.72±0.67       37.25±7.71                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}     33.45±7.70       36.26±6.78       36.34±8.64                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}   34.28±0.40       37.67±0.62       37.63±7.23                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}     41.87±30.47      45.51±31.78      44.91±32.47                     1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}   34.45±0.42       37.88±0.64       40.12±6.23                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}     45.92±34.01      47.48±27.86      50.03±37.75                     2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '3.55e+00'}  34.86±0.73       38.41±0.93       39.02±7.21                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '3.55e+00'}    85.04±145.54     89.49±150.88     89.98±154.82                    2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}   42.81±0.81       42.90±0.81       43.40±6.17                      0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}     23.32±0.25       23.89±0.32       23.74±4.59                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}   40.32±0.64       40.71±0.64       41.44±6.44                      0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}     30.52±12.51      31.20±12.68      28.34±12.47                     0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}   39.15±0.55       39.93±0.70       38.35±5.32                      0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}     47.17±59.52      47.48±55.53      47.51±56.52                     0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}   36.51±0.49       37.71±0.58       39.57±6.02                      0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}     38.64±15.76      40.63±16.80      40.58±17.77                     0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}   36.88±4.84       38.59±5.24       35.87±7.48                      0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}     35.08±9.77       36.96±10.33      38.06±11.35                     0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}   36.26±0.92       38.37±0.99       36.75±5.90                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}     35.06±9.77       37.36±10.04      37.19±9.71                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}   37.64±2.55       40.15±2.93       39.01±7.64                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}     33.68±2.30       36.14±2.69       37.35±7.63                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}   39.71±7.54       42.36±7.37       43.13±11.67                     1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}     34.93±5.09       37.38±4.48       37.07±7.38                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}   64.08±51.87      65.46±49.67      67.67±51.51                     1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}     34.35±0.89       37.10±0.92       36.94±8.06                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}   40.68±5.18       43.66±6.23       45.73±9.16                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}     34.50±1.01       37.19±1.25       38.59±6.19                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '5.01e+00'}  45.50±24.39      48.01±21.96      49.16±25.10                     2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '5.01e+00'}    34.90±1.45       37.48±1.17       35.60±7.79                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}   46.66±10.75      46.44±9.92       47.35±13.11                     0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}     26.89±0.26       27.34±0.31       26.99±5.18                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}   89.38±255.20     92.15±268.95     90.31±254.10                    0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}     28.75±0.33       29.45±0.35       26.51±6.16                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}   43.15±8.85       43.69±8.44       42.06±10.20                     0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}     31.35±0.42       32.39±0.42       32.56±6.02                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}   55.06±63.86      56.68±65.01      58.88±68.54                     0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}     33.39±0.36       34.76±0.43       35.08±5.42                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}   44.91±18.28      46.05±17.53      43.03±19.36                     0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}     35.36±0.46       36.94±0.57       38.69±8.14                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}   98.41±111.49     102.58±116.80    97.45±110.18                    0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}     36.98±0.40       38.94±0.63       38.29±6.16                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}   64.43±49.84      65.76±47.91      63.19±49.36                     1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}     38.37±0.51       40.39±0.65       41.66±8.12                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}   50.90±14.75      52.54±15.28      53.93±16.98                     1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}     39.41±0.53       41.56±0.61       41.49±7.16                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}   50.89±13.20      52.96±13.70      53.03±14.54                     1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}     39.84±0.58       42.12±0.63       41.75±8.64                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}   58.06±41.50      60.30±44.49      60.68±40.70                     2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}     39.90±0.57       42.14±0.84       43.43±6.49                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '7.08e+00'}  1400.75±7387.37  1620.99±8583.99  1383.33±7280.24                 2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '7.08e+00'}    40.13±0.52       42.34±0.80       40.79±8.35                      2.35\n",
      "{'depth': 0.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}   51.17±11.57      51.06±11.27      51.51±12.80                     0.09\n",
      "{'depth': 0.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}     31.04±0.31       31.35±0.35       30.84±5.68                      0.36\n",
      "{'depth': 1.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}   67.11±78.15      67.15±78.78      67.95±80.94                     0.2\n",
      "{'depth': 1.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}     33.18±0.33       33.73±0.36       30.28±7.09                      0.44\n",
      "{'depth': 2.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}   71.87±66.66      72.27±66.16      70.60±64.13                     0.33\n",
      "{'depth': 2.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}     36.15±0.45       36.94±0.43       37.33±6.71                      0.57\n",
      "{'depth': 3.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}   67.22±58.95      68.20±62.46      68.66±55.42                     0.53\n",
      "{'depth': 3.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}     38.72±0.36       39.83±0.42       40.16±6.14                      0.72\n",
      "{'depth': 4.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}   47.93±6.57       48.57±6.26       45.27±10.05                     0.79\n",
      "{'depth': 4.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}     41.20±0.47       42.46±0.58       44.24±8.95                      0.83\n",
      "{'depth': 5.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}   45.87±0.91       46.90±0.85       45.87±6.75                      0.97\n",
      "{'depth': 5.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}     43.16±0.40       44.77±0.65       43.91±6.98                      0.99\n",
      "{'depth': 6.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}   47.41±0.68       48.80±0.79       47.26±8.65                      1.25\n",
      "{'depth': 6.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}     44.75±0.48       46.36±0.61       47.58±8.88                      1.24\n",
      "{'depth': 7.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}   48.76±0.61       50.31±0.72       51.46±8.88                      1.61\n",
      "{'depth': 7.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}     45.87±0.52       47.60±0.59       47.71±7.76                      1.52\n",
      "{'depth': 8.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}   49.92±0.63       51.55±0.71       52.35±8.50                      1.85\n",
      "{'depth': 8.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}     46.37±0.58       48.19±0.61       47.75±9.25                      1.69\n",
      "{'depth': 9.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}   50.28±0.51       51.91±0.59       53.72±7.41                      2.15\n",
      "{'depth': 9.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}     46.43±0.56       48.21±0.82       49.46±6.97                      2.06\n",
      "{'depth': 10.0, 'k_func': 'tanimoto', 'alpha': '1.00e+01'}  50.52±0.57       52.17±0.74       52.95±8.36                      2.44\n",
      "{'depth': 10.0, 'k_func': 'MinMax', 'alpha': '1.00e+01'}    46.70±0.56       48.44±0.84       47.08±8.98                      2.35\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "calculate performance: 100%|██████████| 13860/13860 [15:31<00:00, 12.99it/s]"
     ]
    }
   ],
   "source": [
    "%load_ext line_profiler\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import sys\n",
    "sys.path.insert(0, \"../\")\n",
    "from pygraph.utils.model_selection_precomputed import model_selection_for_precomputed_kernel\n",
    "from pygraph.kernels.untildPathKernel import untildpathkernel\n",
    "\n",
    "datafile = '../../../../datasets/acyclic/Acyclic/dataset_bps.ds'\n",
    "estimator = untildpathkernel\n",
    "param_grid_precomputed = {'depth': np.linspace(0, 10, 11), 'k_func': ['tanimoto', 'MinMax']}\n",
    "param_grid = {'alpha': np.logspace(-2, 1, num = 21, base = 10)}\n",
    "\n",
    "model_selection_for_precomputed_kernel(datafile, estimator, param_grid_precomputed, param_grid, \n",
    "                                       'regression', NUM_TRIALS=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- This is a regression problem ---\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 0.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 0 of size 185 built in 0.09047365188598633 seconds ---\n",
      "[[ 1.          1.          0.33333333 ...,  0.33333333  0.33333333\n",
      "   0.33333333]\n",
      " [ 1.          1.          0.33333333 ...,  0.33333333  0.33333333\n",
      "   0.33333333]\n",
      " [ 0.33333333  0.33333333  1.         ...,  1.          1.          1.        ]\n",
      " ..., \n",
      " [ 0.33333333  0.33333333  1.         ...,  1.          1.          1.        ]\n",
      " [ 0.33333333  0.33333333  1.         ...,  1.          1.          1.        ]\n",
      " [ 0.33333333  0.33333333  1.         ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 43.616902\n",
      "With standard deviation: 2.132120\n",
      "\n",
      " Mean performance on test set: 41.620214\n",
      "With standard deviation: 6.453003\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 1.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 1 of size 185 built in 0.1754138469696045 seconds ---\n",
      "[[ 1.          0.8         0.14285714 ...,  0.125       0.125       0.125     ]\n",
      " [ 0.8         1.          0.125      ...,  0.11111111  0.11111111\n",
      "   0.11111111]\n",
      " [ 0.14285714  0.125       1.         ...,  0.8         0.8         0.8       ]\n",
      " ..., \n",
      " [ 0.125       0.11111111  0.8        ...,  1.          1.          1.        ]\n",
      " [ 0.125       0.11111111  0.8        ...,  1.          1.          1.        ]\n",
      " [ 0.125       0.11111111  0.8        ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 40.832861\n",
      "With standard deviation: 3.441465\n",
      "\n",
      " Mean performance on test set: 38.844613\n",
      "With standard deviation: 6.446482\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 2.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 2 of size 185 built in 0.3448960781097412 seconds ---\n",
      "[[ 1.          0.5         0.11111111 ...,  0.07692308  0.07692308\n",
      "   0.07692308]\n",
      " [ 0.5         1.          0.09090909 ...,  0.06666667  0.06666667\n",
      "   0.06666667]\n",
      " [ 0.11111111  0.09090909  1.         ...,  0.55555556  0.55555556\n",
      "   0.55555556]\n",
      " ..., \n",
      " [ 0.07692308  0.06666667  0.55555556 ...,  1.          1.          1.        ]\n",
      " [ 0.07692308  0.06666667  0.55555556 ...,  1.          1.          1.        ]\n",
      " [ 0.07692308  0.06666667  0.55555556 ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 35.746142\n",
      "With standard deviation: 1.611340\n",
      "\n",
      " Mean performance on test set: 35.291451\n",
      "With standard deviation: 4.781298\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 3.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 3 of size 185 built in 0.5539388656616211 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.05555556  0.05555556\n",
      "   0.05555556]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.04761905  0.04761905\n",
      "   0.04761905]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.35714286  0.35714286\n",
      "   0.35714286]\n",
      " ..., \n",
      " [ 0.05555556  0.04761905  0.35714286 ...,  1.          1.          1.        ]\n",
      " [ 0.05555556  0.04761905  0.35714286 ...,  1.          1.          1.        ]\n",
      " [ 0.05555556  0.04761905  0.35714286 ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 28.464581\n",
      "With standard deviation: 3.001371\n",
      "\n",
      " Mean performance on test set: 29.484499\n",
      "With standard deviation: 3.903507\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 4.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 4 of size 185 built in 0.7706489562988281 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.04347826  0.04166667\n",
      "   0.04347826]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.03846154  0.03703704\n",
      "   0.03846154]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.26315789  0.25        0.26315789]\n",
      " ..., \n",
      " [ 0.04347826  0.03846154  0.26315789 ...,  1.          0.95        0.9       ]\n",
      " [ 0.04166667  0.03703704  0.25       ...,  0.95        1.          0.95      ]\n",
      " [ 0.04347826  0.03846154  0.26315789 ...,  0.9         0.95        1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 19.251747\n",
      "With standard deviation: 3.428930\n",
      "\n",
      " Mean performance on test set: 22.669312\n",
      "With standard deviation: 6.280526\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 5.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 5 of size 185 built in 1.015580415725708 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03703704  0.03333333\n",
      "   0.03571429]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.03333333  0.03030303\n",
      "   0.03225806]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.2173913   0.19230769\n",
      "   0.20833333]\n",
      " ..., \n",
      " [ 0.03703704  0.03333333  0.2173913  ...,  1.          0.88461538\n",
      "   0.74074074]\n",
      " [ 0.03333333  0.03030303  0.19230769 ...,  0.88461538  1.          0.85185185]\n",
      " [ 0.03571429  0.03225806  0.20833333 ...,  0.74074074  0.85185185  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 16.886016\n",
      "With standard deviation: 2.605194\n",
      "\n",
      " Mean performance on test set: 21.795626\n",
      "With standard deviation: 5.522502\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 6.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 6 of size 185 built in 1.3330223560333252 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03333333  0.02857143\n",
      "   0.03030303]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.03030303  0.02631579\n",
      "   0.02777778]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.19230769  0.16129032\n",
      "   0.17241379]\n",
      " ..., \n",
      " [ 0.03333333  0.03030303  0.19230769 ...,  1.          0.83870968\n",
      "   0.57142857]\n",
      " [ 0.02857143  0.02631579  0.16129032 ...,  0.83870968  1.          0.71428571]\n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  0.57142857  0.71428571  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 13.109746\n",
      "With standard deviation: 2.584308\n",
      "\n",
      " Mean performance on test set: 20.604920\n",
      "With standard deviation: 5.499831\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 7.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 7 of size 185 built in 1.602663278579712 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03125     0.02564103\n",
      "   0.02631579]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02857143  0.02380952\n",
      "   0.02439024]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17857143  0.14285714\n",
      "   0.14705882]\n",
      " ..., \n",
      " [ 0.03125     0.02857143  0.17857143 ...,  1.          0.8         0.47619048]\n",
      " [ 0.02564103  0.02380952  0.14285714 ...,  0.8         1.          0.56818182]\n",
      " [ 0.02631579  0.02439024  0.14705882 ...,  0.47619048  0.56818182  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 12.015210\n",
      "With standard deviation: 2.592798\n",
      "\n",
      " Mean performance on test set: 20.347932\n",
      "With standard deviation: 5.176314\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 8.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 8 of size 185 built in 1.8121819496154785 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02325581]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.02173913]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.12820513]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.41666667]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.49019608]\n",
      " [ 0.02325581  0.02173913  0.12820513 ...,  0.41666667  0.49019608  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.798096\n",
      "With standard deviation: 2.130816\n",
      "\n",
      " Mean performance on test set: 19.822797\n",
      "With standard deviation: 5.137687\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 9.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 9 of size 185 built in 2.2172586917877197 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.0212766 ]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727  0.02      ]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11627907]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.38461538]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.45454545]\n",
      " [ 0.0212766   0.02        0.11627907 ...,  0.38461538  0.45454545  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.799656\n",
      "With standard deviation: 2.095494\n",
      "\n",
      " Mean performance on test set: 19.873364\n",
      "With standard deviation: 5.103689\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 10.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 10 of size 185 built in 2.4100613594055176 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 11.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 11 of size 185 built in 2.7440149784088135 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 12.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 12 of size 185 built in 2.723442316055298 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 13.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 13 of size 185 built in 2.6163382530212402 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 14.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 14 of size 185 built in 2.629500389099121 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 15.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 15 of size 185 built in 2.664158821105957 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 16.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 16 of size 185 built in 2.7301340103149414 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 17.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 17 of size 185 built in 2.6328580379486084 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 18.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 18 of size 185 built in 2.592944383621216 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 19.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 19 of size 185 built in 2.6368520259857178 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 20.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 20 of size 185 built in 2.52734375 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.778685\n",
      "With standard deviation: 2.100015\n",
      "\n",
      " Mean performance on test set: 19.870809\n",
      "With standard deviation: 5.092173\n",
      "\n",
      "\n",
      "  depth    rmse_test    std_test    rmse_train    std_train     k_time\n",
      "-------  -----------  ----------  ------------  -----------  ---------\n",
      "      0      41.6202     6.453         43.6169      2.13212  0.0904737\n",
      "      1      38.8446     6.44648       40.8329      3.44147  0.175414\n",
      "      2      35.2915     4.7813        35.7461      1.61134  0.344896\n",
      "      3      29.4845     3.90351       28.4646      3.00137  0.553939\n",
      "      4      22.6693     6.28053       19.2517      3.42893  0.770649\n",
      "      5      21.7956     5.5225        16.886       2.60519  1.01558\n",
      "      6      20.6049     5.49983       13.1097      2.58431  1.33302\n",
      "      7      20.3479     5.17631       12.0152      2.5928   1.60266\n",
      "      8      19.8228     5.13769       10.7981      2.13082  1.81218\n",
      "      9      19.8734     5.10369       10.7997      2.09549  2.21726\n",
      "     10      19.8708     5.09217       10.7787      2.10002  2.41006\n",
      "     11      19.8708     5.09217       10.7787      2.10002  2.74401\n",
      "     12      19.8708     5.09217       10.7787      2.10002  2.72344\n",
      "     13      19.8708     5.09217       10.7787      2.10002  2.61634\n",
      "     14      19.8708     5.09217       10.7787      2.10002  2.6295\n",
      "     15      19.8708     5.09217       10.7787      2.10002  2.66416\n",
      "     16      19.8708     5.09217       10.7787      2.10002  2.73013\n",
      "     17      19.8708     5.09217       10.7787      2.10002  2.63286\n",
      "     18      19.8708     5.09217       10.7787      2.10002  2.59294\n",
      "     19      19.8708     5.09217       10.7787      2.10002  2.63685\n",
      "     20      19.8708     5.09217       10.7787      2.10002  2.52734\n",
      "\n",
      " --- This is a regression problem ---\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 0.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 0 of size 185 built in 0.1027534008026123 seconds ---\n",
      "[[ 1.          1.          0.33333333 ...,  0.33333333  0.33333333\n",
      "   0.33333333]\n",
      " [ 1.          1.          0.33333333 ...,  0.33333333  0.33333333\n",
      "   0.33333333]\n",
      " [ 0.33333333  0.33333333  1.         ...,  1.          1.          1.        ]\n",
      " ..., \n",
      " [ 0.33333333  0.33333333  1.         ...,  1.          1.          1.        ]\n",
      " [ 0.33333333  0.33333333  1.         ...,  1.          1.          1.        ]\n",
      " [ 0.33333333  0.33333333  1.         ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 42.787136\n",
      "With standard deviation: 0.675806\n",
      "\n",
      " Mean performance on test set: 42.645892\n",
      "With standard deviation: 6.560629\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 1.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 1 of size 185 built in 0.18301701545715332 seconds ---\n",
      "[[ 1.          0.8         0.14285714 ...,  0.125       0.125       0.125     ]\n",
      " [ 0.8         1.          0.125      ...,  0.11111111  0.11111111\n",
      "   0.11111111]\n",
      " [ 0.14285714  0.125       1.         ...,  0.8         0.8         0.8       ]\n",
      " ..., \n",
      " [ 0.125       0.11111111  0.8        ...,  1.          1.          1.        ]\n",
      " [ 0.125       0.11111111  0.8        ...,  1.          1.          1.        ]\n",
      " [ 0.125       0.11111111  0.8        ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 38.880117\n",
      "With standard deviation: 0.623999\n",
      "\n",
      " Mean performance on test set: 39.174317\n",
      "With standard deviation: 6.195371\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 2.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 2 of size 185 built in 0.33235955238342285 seconds ---\n",
      "[[ 1.          0.5         0.11111111 ...,  0.07692308  0.07692308\n",
      "   0.07692308]\n",
      " [ 0.5         1.          0.09090909 ...,  0.06666667  0.06666667\n",
      "   0.06666667]\n",
      " [ 0.11111111  0.09090909  1.         ...,  0.55555556  0.55555556\n",
      "   0.55555556]\n",
      " ..., \n",
      " [ 0.07692308  0.06666667  0.55555556 ...,  1.          1.          1.        ]\n",
      " [ 0.07692308  0.06666667  0.55555556 ...,  1.          1.          1.        ]\n",
      " [ 0.07692308  0.06666667  0.55555556 ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 35.348332\n",
      "With standard deviation: 0.727833\n",
      "\n",
      " Mean performance on test set: 35.604226\n",
      "With standard deviation: 4.539211\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 3.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 3 of size 185 built in 0.5400393009185791 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.05555556  0.05555556\n",
      "   0.05555556]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.04761905  0.04761905\n",
      "   0.04761905]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.35714286  0.35714286\n",
      "   0.35714286]\n",
      " ..., \n",
      " [ 0.05555556  0.04761905  0.35714286 ...,  1.          1.          1.        ]\n",
      " [ 0.05555556  0.04761905  0.35714286 ...,  1.          1.          1.        ]\n",
      " [ 0.05555556  0.04761905  0.35714286 ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 28.047646\n",
      "With standard deviation: 1.077805\n",
      "\n",
      " Mean performance on test set: 30.192177\n",
      "With standard deviation: 5.110324\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 4.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 4 of size 185 built in 0.8054666519165039 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.04347826  0.04166667\n",
      "   0.04347826]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.03846154  0.03703704\n",
      "   0.03846154]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.26315789  0.25        0.26315789]\n",
      " ..., \n",
      " [ 0.04347826  0.03846154  0.26315789 ...,  1.          0.95        0.9       ]\n",
      " [ 0.04166667  0.03703704  0.25       ...,  0.95        1.          0.95      ]\n",
      " [ 0.04347826  0.03846154  0.26315789 ...,  0.9         0.95        1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Mean performance on train set: 18.878595\n",
      "With standard deviation: 1.711897\n",
      "\n",
      " Mean performance on test set: 23.751530\n",
      "With standard deviation: 7.808559\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 5.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 5 of size 185 built in 1.0195980072021484 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03703704  0.03333333\n",
      "   0.03571429]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.03333333  0.03030303\n",
      "   0.03225806]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.2173913   0.19230769\n",
      "   0.20833333]\n",
      " ..., \n",
      " [ 0.03703704  0.03333333  0.2173913  ...,  1.          0.88461538\n",
      "   0.74074074]\n",
      " [ 0.03333333  0.03030303  0.19230769 ...,  0.88461538  1.          0.85185185]\n",
      " [ 0.03571429  0.03225806  0.20833333 ...,  0.74074074  0.85185185  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 16.339135\n",
      "With standard deviation: 1.397693\n",
      "\n",
      " Mean performance on test set: 23.482309\n",
      "With standard deviation: 7.727117\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 6.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 6 of size 185 built in 1.2962956428527832 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03333333  0.02857143\n",
      "   0.03030303]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.03030303  0.02631579\n",
      "   0.02777778]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.19230769  0.16129032\n",
      "   0.17241379]\n",
      " ..., \n",
      " [ 0.03333333  0.03030303  0.19230769 ...,  1.          0.83870968\n",
      "   0.57142857]\n",
      " [ 0.02857143  0.02631579  0.16129032 ...,  0.83870968  1.          0.71428571]\n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  0.57142857  0.71428571  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 12.523830\n",
      "With standard deviation: 1.040404\n",
      "\n",
      " Mean performance on test set: 22.745367\n",
      "With standard deviation: 8.028051\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 7.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 7 of size 185 built in 1.5462064743041992 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03125     0.02564103\n",
      "   0.02631579]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02857143  0.02380952\n",
      "   0.02439024]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17857143  0.14285714\n",
      "   0.14705882]\n",
      " ..., \n",
      " [ 0.03125     0.02857143  0.17857143 ...,  1.          0.8         0.47619048]\n",
      " [ 0.02564103  0.02380952  0.14285714 ...,  0.8         1.          0.56818182]\n",
      " [ 0.02631579  0.02439024  0.14705882 ...,  0.47619048  0.56818182  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 11.371668\n",
      "With standard deviation: 0.925446\n",
      "\n",
      " Mean performance on test set: 22.831602\n",
      "With standard deviation: 7.978369\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 8.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 8 of size 185 built in 1.8658208847045898 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02325581]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.02173913]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.12820513]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.41666667]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.49019608]\n",
      " [ 0.02325581  0.02173913  0.12820513 ...,  0.41666667  0.49019608  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.132106\n",
      "With standard deviation: 0.525580\n",
      "\n",
      " Mean performance on test set: 22.586071\n",
      "With standard deviation: 8.067887\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 9.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 9 of size 185 built in 2.185042381286621 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.0212766 ]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727  0.02      ]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11627907]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.38461538]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.45454545]\n",
      " [ 0.0212766   0.02        0.11627907 ...,  0.38461538  0.45454545  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.078464\n",
      "With standard deviation: 0.518149\n",
      "\n",
      " Mean performance on test set: 22.766801\n",
      "With standard deviation: 8.005709\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 10.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 10 of size 185 built in 2.35276198387146 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 11.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 11 of size 185 built in 2.6274359226226807 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 12.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 12 of size 185 built in 2.7209105491638184 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 13.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 13 of size 185 built in 2.699059247970581 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 14.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 14 of size 185 built in 2.6328344345092773 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 15.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 15 of size 185 built in 2.6556999683380127 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 16.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 16 of size 185 built in 2.621814012527466 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 17.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 17 of size 185 built in 2.5938243865966797 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 18.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 18 of size 185 built in 2.65336275100708 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 19.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 19 of size 185 built in 2.628486156463623 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 20.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 20 of size 185 built in 2.682689666748047 seconds ---\n",
      "[[ 1.          0.44444444  0.11111111 ...,  0.03030303  0.02439024\n",
      "   0.02040816]\n",
      " [ 0.44444444  1.          0.08333333 ...,  0.02777778  0.02272727\n",
      "   0.01923077]\n",
      " [ 0.11111111  0.08333333  1.         ...,  0.17241379  0.13513514\n",
      "   0.11111111]\n",
      " ..., \n",
      " [ 0.03030303  0.02777778  0.17241379 ...,  1.          0.73684211\n",
      "   0.37037037]\n",
      " [ 0.02439024  0.02272727  0.13513514 ...,  0.73684211  1.          0.43859649]\n",
      " [ 0.02040816  0.01923077  0.11111111 ...,  0.37037037  0.43859649  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.075607\n",
      "With standard deviation: 0.672820\n",
      "\n",
      " Mean performance on test set: 22.869720\n",
      "With standard deviation: 7.944560\n",
      "\n",
      "\n",
      "  depth    rmse_test    std_test    rmse_train    std_train    k_time\n",
      "-------  -----------  ----------  ------------  -----------  --------\n",
      "      0      42.6459     6.56063       42.7871     0.675806  0.102753\n",
      "      1      39.1743     6.19537       38.8801     0.623999  0.183017\n",
      "      2      35.6042     4.53921       35.3483     0.727833  0.33236\n",
      "      3      30.1922     5.11032       28.0476     1.0778    0.540039\n",
      "      4      23.7515     7.80856       18.8786     1.7119    0.805467\n",
      "      5      23.4823     7.72712       16.3391     1.39769   1.0196\n",
      "      6      22.7454     8.02805       12.5238     1.0404    1.2963\n",
      "      7      22.8316     7.97837       11.3717     0.925446  1.54621\n",
      "      8      22.5861     8.06789       10.1321     0.52558   1.86582\n",
      "      9      22.7668     8.00571       10.0785     0.518149  2.18504\n",
      "     10      22.8697     7.94456       10.0756     0.67282   2.35276\n",
      "     11      22.8697     7.94456       10.0756     0.67282   2.62744\n",
      "     12      22.8697     7.94456       10.0756     0.67282   2.72091\n",
      "     13      22.8697     7.94456       10.0756     0.67282   2.69906\n",
      "     14      22.8697     7.94456       10.0756     0.67282   2.63283\n",
      "     15      22.8697     7.94456       10.0756     0.67282   2.6557\n",
      "     16      22.8697     7.94456       10.0756     0.67282   2.62181\n",
      "     17      22.8697     7.94456       10.0756     0.67282   2.59382\n",
      "     18      22.8697     7.94456       10.0756     0.67282   2.65336\n",
      "     19      22.8697     7.94456       10.0756     0.67282   2.62849\n",
      "     20      22.8697     7.94456       10.0756     0.67282   2.68269\n",
      "\n",
      " --- This is a regression problem ---\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 0.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 0 of size 185 built in 0.3893899917602539 seconds ---\n",
      "[[ 1.          0.75        0.5        ...,  0.16666667  0.16666667\n",
      "   0.16666667]\n",
      " [ 0.75        1.          0.4        ...,  0.15384615  0.15384615\n",
      "   0.15384615]\n",
      " [ 0.5         0.4         1.         ...,  0.27272727  0.27272727\n",
      "   0.27272727]\n",
      " ..., \n",
      " [ 0.16666667  0.15384615  0.27272727 ...,  1.          1.          1.        ]\n",
      " [ 0.16666667  0.15384615  0.27272727 ...,  1.          1.          1.        ]\n",
      " [ 0.16666667  0.15384615  0.27272727 ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 12.207923\n",
      "With standard deviation: 0.700182\n",
      "\n",
      " Mean performance on test set: 12.682718\n",
      "With standard deviation: 2.748815\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 1.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 1 of size 185 built in 0.4729621410369873 seconds ---\n",
      "[[ 1.          0.7         0.16666667 ...,  0.05555556  0.05555556\n",
      "   0.05555556]\n",
      " [ 0.7         1.          0.13333333 ...,  0.05128205  0.05128205\n",
      "   0.05128205]\n",
      " [ 0.16666667  0.13333333  1.         ...,  0.22580645  0.22580645\n",
      "   0.22580645]\n",
      " ..., \n",
      " [ 0.05555556  0.05128205  0.22580645 ...,  1.          1.          1.        ]\n",
      " [ 0.05555556  0.05128205  0.22580645 ...,  1.          1.          1.        ]\n",
      " [ 0.05555556  0.05128205  0.22580645 ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.279220\n",
      "With standard deviation: 0.914688\n",
      "\n",
      " Mean performance on test set: 12.609828\n",
      "With standard deviation: 2.372778\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 2.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 2 of size 185 built in 0.576836109161377 seconds ---\n",
      "[[ 1.          0.4375      0.125      ...,  0.03333333  0.03333333\n",
      "   0.03571429]\n",
      " [ 0.4375      1.          0.0952381  ...,  0.03076923  0.03076923\n",
      "   0.03278689]\n",
      " [ 0.125       0.0952381   1.         ...,  0.16981132  0.16981132\n",
      "   0.18367347]\n",
      " ..., \n",
      " [ 0.03333333  0.03076923  0.16981132 ...,  1.          1.          0.9245283 ]\n",
      " [ 0.03333333  0.03076923  0.16981132 ...,  1.          1.          0.9245283 ]\n",
      " [ 0.03571429  0.03278689  0.18367347 ...,  0.9245283   0.9245283   1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 2.588811\n",
      "With standard deviation: 0.557162\n",
      "\n",
      " Mean performance on test set: 8.060609\n",
      "With standard deviation: 2.470450\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 3.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 3 of size 185 built in 0.7169125080108643 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.02631579  0.02631579\n",
      "   0.02777778]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.02409639  0.02409639\n",
      "   0.02531646]\n",
      " [ 0.125       0.08695652  1.         ...,  0.13043478  0.13043478\n",
      "   0.13846154]\n",
      " ..., \n",
      " [ 0.02631579  0.02409639  0.13043478 ...,  1.          0.94366197\n",
      "   0.83561644]\n",
      " [ 0.02631579  0.02409639  0.13043478 ...,  0.94366197  1.          0.78666667]\n",
      " [ 0.02777778  0.02531646  0.13846154 ...,  0.83561644  0.78666667  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.272670\n",
      "With standard deviation: 0.760432\n",
      "\n",
      " Mean performance on test set: 9.755135\n",
      "With standard deviation: 3.049170\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 4.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 4 of size 185 built in 0.8342421054840088 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.02222222  0.02222222\n",
      "   0.02325581]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.02061856  0.02061856\n",
      "   0.02150538]\n",
      " [ 0.125       0.08695652  1.         ...,  0.10843373  0.10843373\n",
      "   0.11392405]\n",
      " ..., \n",
      " [ 0.02222222  0.02061856  0.10843373 ...,  1.          0.82417582\n",
      "   0.67010309]\n",
      " [ 0.02222222  0.02061856  0.10843373 ...,  0.82417582  1.          0.70526316]\n",
      " [ 0.02325581  0.02150538  0.11392405 ...,  0.67010309  0.70526316  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.032293\n",
      "With standard deviation: 0.728380\n",
      "\n",
      " Mean performance on test set: 10.319167\n",
      "With standard deviation: 3.616673\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 5.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 5 of size 185 built in 0.9938209056854248 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.01960784  0.01960784\n",
      "   0.02040816]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01834862  0.01834862\n",
      "   0.01904762]\n",
      " [ 0.125       0.08695652  1.         ...,  0.09473684  0.09473684\n",
      "   0.0989011 ]\n",
      " ..., \n",
      " [ 0.01960784  0.01834862  0.09473684 ...,  1.          0.74311927\n",
      "   0.56302521]\n",
      " [ 0.01960784  0.01834862  0.09473684 ...,  0.74311927  1.          0.6173913 ]\n",
      " [ 0.02040816  0.01904762  0.0989011  ...,  0.56302521  0.6173913   1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 0.923543\n",
      "With standard deviation: 0.660532\n",
      "\n",
      " Mean performance on test set: 10.659250\n",
      "With standard deviation: 4.120523\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 6.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 6 of size 185 built in 1.1753439903259277 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.01785714  0.01785714\n",
      "   0.01851852]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01680672  0.01680672\n",
      "   0.0173913 ]\n",
      " [ 0.125       0.08695652  1.         ...,  0.08571429  0.08571429\n",
      "   0.08910891]\n",
      " ..., \n",
      " [ 0.01785714  0.01680672  0.08571429 ...,  1.          0.68        0.48201439]\n",
      " [ 0.01785714  0.01680672  0.08571429 ...,  0.68        1.          0.54887218]\n",
      " [ 0.01851852  0.0173913   0.08910891 ...,  0.48201439  0.54887218  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 0.878589\n",
      "With standard deviation: 0.603598\n",
      "\n",
      " Mean performance on test set: 11.102521\n",
      "With standard deviation: 4.330554\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 7.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 7 of size 185 built in 1.4358420372009277 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.01666667  0.01666667\n",
      "   0.01724138]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01574803  0.01574803\n",
      "   0.01626016]\n",
      " [ 0.125       0.08695652  1.         ...,  0.07964602  0.07964602\n",
      "   0.08256881]\n",
      " ..., \n",
      " [ 0.01666667  0.01574803  0.07964602 ...,  1.          0.64963504\n",
      "   0.43225806]\n",
      " [ 0.01666667  0.01574803  0.07964602 ...,  0.64963504  1.          0.48993289]\n",
      " [ 0.01724138  0.01626016  0.08256881 ...,  0.43225806  0.48993289  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 0.944049\n",
      "With standard deviation: 0.694844\n",
      "\n",
      " Mean performance on test set: 11.352962\n",
      "With standard deviation: 4.305459\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 8.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 8 of size 185 built in 1.7005987167358398 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.015625    0.015625\n",
      "   0.01639344]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01481481  0.01481481\n",
      "   0.01550388]\n",
      " [ 0.125       0.08695652  1.         ...,  0.07438017  0.07438017\n",
      "   0.07826087]\n",
      " ..., \n",
      " [ 0.015625    0.01481481  0.07438017 ...,  1.          0.58169935\n",
      "   0.3964497 ]\n",
      " [ 0.015625    0.01481481  0.07438017 ...,  0.58169935  1.          0.44785276]\n",
      " [ 0.01639344  0.01550388  0.07826087 ...,  0.3964497   0.44785276  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.033979\n",
      "With standard deviation: 0.775622\n",
      "\n",
      " Mean performance on test set: 11.298981\n",
      "With standard deviation: 4.349648\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 9.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 9 of size 185 built in 2.0194287300109863 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.015625    0.015625\n",
      "   0.01587302]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01481481  0.01481481\n",
      "   0.01503759]\n",
      " [ 0.125       0.08695652  1.         ...,  0.07438017  0.07438017\n",
      "   0.07563025]\n",
      " ..., \n",
      " [ 0.015625    0.01481481  0.07438017 ...,  1.          0.58169935\n",
      "   0.38728324]\n",
      " [ 0.015625    0.01481481  0.07438017 ...,  0.58169935  1.          0.43712575]\n",
      " [ 0.01587302  0.01503759  0.07563025 ...,  0.38728324  0.43712575  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.003187\n",
      "With standard deviation: 0.572070\n",
      "\n",
      " Mean performance on test set: 11.332669\n",
      "With standard deviation: 4.324120\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 10.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 10 of size 185 built in 2.243326187133789 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.015625    0.015625    0.015625  ]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01481481  0.01481481\n",
      "   0.01481481]\n",
      " [ 0.125       0.08695652  1.         ...,  0.07438017  0.07438017\n",
      "   0.07438017]\n",
      " ..., \n",
      " [ 0.015625    0.01481481  0.07438017 ...,  1.          0.58169935\n",
      "   0.38285714]\n",
      " [ 0.015625    0.01481481  0.07438017 ...,  0.58169935  1.          0.43195266]\n",
      " [ 0.015625    0.01481481  0.07438017 ...,  0.38285714  0.43195266  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.002272\n",
      "With standard deviation: 0.570937\n",
      "\n",
      " Mean performance on test set: 11.343515\n",
      "With standard deviation: 4.327265\n",
      "\n",
      "\n",
      "  depth    rmse_test    std_test    rmse_train    std_train    k_time\n",
      "-------  -----------  ----------  ------------  -----------  --------\n",
      "      0     12.6827      2.74882     12.2079       0.700182  0.38939\n",
      "      1     12.6098      2.37278     10.2792       0.914688  0.472962\n",
      "      2      8.06061     2.47045      2.58881      0.557162  0.576836\n",
      "      3      9.75514     3.04917      1.27267      0.760432  0.716913\n",
      "      4     10.3192      3.61667      1.03229      0.72838   0.834242\n",
      "      5     10.6593      4.12052      0.923543     0.660532  0.993821\n",
      "      6     11.1025      4.33055      0.878589     0.603598  1.17534\n",
      "      7     11.353       4.30546      0.944049     0.694844  1.43584\n",
      "      8     11.299       4.34965      1.03398      0.775622  1.7006\n",
      "      9     11.3327      4.32412      1.00319      0.57207   2.01943\n",
      "     10     11.3435      4.32726      1.00227      0.570937  2.24333\n",
      "\n",
      " --- This is a regression problem ---\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 0.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 0 of size 185 built in 0.3775763511657715 seconds ---\n",
      "[[ 1.          0.75        0.5        ...,  0.16666667  0.16666667\n",
      "   0.16666667]\n",
      " [ 0.75        1.          0.4        ...,  0.15384615  0.15384615\n",
      "   0.15384615]\n",
      " [ 0.5         0.4         1.         ...,  0.27272727  0.27272727\n",
      "   0.27272727]\n",
      " ..., \n",
      " [ 0.16666667  0.15384615  0.27272727 ...,  1.          1.          1.        ]\n",
      " [ 0.16666667  0.15384615  0.27272727 ...,  1.          1.          1.        ]\n",
      " [ 0.16666667  0.15384615  0.27272727 ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 12.120872\n",
      "With standard deviation: 0.500467\n",
      "\n",
      " Mean performance on test set: 12.579966\n",
      "With standard deviation: 2.732346\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 1.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 1 of size 185 built in 0.4563324451446533 seconds ---\n",
      "[[ 1.          0.7         0.16666667 ...,  0.05555556  0.05555556\n",
      "   0.05555556]\n",
      " [ 0.7         1.          0.13333333 ...,  0.05128205  0.05128205\n",
      "   0.05128205]\n",
      " [ 0.16666667  0.13333333  1.         ...,  0.22580645  0.22580645\n",
      "   0.22580645]\n",
      " ..., \n",
      " [ 0.05555556  0.05128205  0.22580645 ...,  1.          1.          1.        ]\n",
      " [ 0.05555556  0.05128205  0.22580645 ...,  1.          1.          1.        ]\n",
      " [ 0.05555556  0.05128205  0.22580645 ...,  1.          1.          1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 10.224322\n",
      "With standard deviation: 0.734261\n",
      "\n",
      " Mean performance on test set: 12.621509\n",
      "With standard deviation: 2.188664\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 2.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 2 of size 185 built in 0.5852782726287842 seconds ---\n",
      "[[ 1.          0.4375      0.125      ...,  0.03333333  0.03333333\n",
      "   0.03571429]\n",
      " [ 0.4375      1.          0.0952381  ...,  0.03076923  0.03076923\n",
      "   0.03278689]\n",
      " [ 0.125       0.0952381   1.         ...,  0.16981132  0.16981132\n",
      "   0.18367347]\n",
      " ..., \n",
      " [ 0.03333333  0.03076923  0.16981132 ...,  1.          1.          0.9245283 ]\n",
      " [ 0.03333333  0.03076923  0.16981132 ...,  1.          1.          0.9245283 ]\n",
      " [ 0.03571429  0.03278689  0.18367347 ...,  0.9245283   0.9245283   1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 2.718851\n",
      "With standard deviation: 0.732922\n",
      "\n",
      " Mean performance on test set: 7.429032\n",
      "With standard deviation: 2.693953\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 3.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 3 of size 185 built in 0.7065560817718506 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.02631579  0.02631579\n",
      "   0.02777778]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.02409639  0.02409639\n",
      "   0.02531646]\n",
      " [ 0.125       0.08695652  1.         ...,  0.13043478  0.13043478\n",
      "   0.13846154]\n",
      " ..., \n",
      " [ 0.02631579  0.02409639  0.13043478 ...,  1.          0.94366197\n",
      "   0.83561644]\n",
      " [ 0.02631579  0.02409639  0.13043478 ...,  0.94366197  1.          0.78666667]\n",
      " [ 0.02777778  0.02531646  0.13846154 ...,  0.83561644  0.78666667  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.540000\n",
      "With standard deviation: 1.138134\n",
      "\n",
      " Mean performance on test set: 9.024680\n",
      "With standard deviation: 2.508084\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 4.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 4 of size 185 built in 0.8479568958282471 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.02222222  0.02222222\n",
      "   0.02325581]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.02061856  0.02061856\n",
      "   0.02150538]\n",
      " [ 0.125       0.08695652  1.         ...,  0.10843373  0.10843373\n",
      "   0.11392405]\n",
      " ..., \n",
      " [ 0.02222222  0.02061856  0.10843373 ...,  1.          0.82417582\n",
      "   0.67010309]\n",
      " [ 0.02222222  0.02061856  0.10843373 ...,  0.82417582  1.          0.70526316]\n",
      " [ 0.02325581  0.02150538  0.11392405 ...,  0.67010309  0.70526316  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.360291\n",
      "With standard deviation: 1.423990\n",
      "\n",
      " Mean performance on test set: 10.081112\n",
      "With standard deviation: 3.647700\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 5.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 5 of size 185 built in 1.0008597373962402 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.01960784  0.01960784\n",
      "   0.02040816]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01834862  0.01834862\n",
      "   0.01904762]\n",
      " [ 0.125       0.08695652  1.         ...,  0.09473684  0.09473684\n",
      "   0.0989011 ]\n",
      " ..., \n",
      " [ 0.01960784  0.01834862  0.09473684 ...,  1.          0.74311927\n",
      "   0.56302521]\n",
      " [ 0.01960784  0.01834862  0.09473684 ...,  0.74311927  1.          0.6173913 ]\n",
      " [ 0.02040816  0.01904762  0.0989011  ...,  0.56302521  0.6173913   1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.085175\n",
      "With standard deviation: 1.062063\n",
      "\n",
      " Mean performance on test set: 11.300476\n",
      "With standard deviation: 4.441634\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 6.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " --- kernel matrix of path kernel up to 6 of size 185 built in 1.1979196071624756 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.01785714  0.01785714\n",
      "   0.01851852]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01680672  0.01680672\n",
      "   0.0173913 ]\n",
      " [ 0.125       0.08695652  1.         ...,  0.08571429  0.08571429\n",
      "   0.08910891]\n",
      " ..., \n",
      " [ 0.01785714  0.01680672  0.08571429 ...,  1.          0.68        0.48201439]\n",
      " [ 0.01785714  0.01680672  0.08571429 ...,  0.68        1.          0.54887218]\n",
      " [ 0.01851852  0.0173913   0.08910891 ...,  0.48201439  0.54887218  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.064431\n",
      "With standard deviation: 1.001911\n",
      "\n",
      " Mean performance on test set: 12.186014\n",
      "With standard deviation: 4.888158\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 7.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 7 of size 185 built in 1.4372029304504395 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.01666667  0.01666667\n",
      "   0.01724138]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01574803  0.01574803\n",
      "   0.01626016]\n",
      " [ 0.125       0.08695652  1.         ...,  0.07964602  0.07964602\n",
      "   0.08256881]\n",
      " ..., \n",
      " [ 0.01666667  0.01574803  0.07964602 ...,  1.          0.64963504\n",
      "   0.43225806]\n",
      " [ 0.01666667  0.01574803  0.07964602 ...,  0.64963504  1.          0.48993289]\n",
      " [ 0.01724138  0.01626016  0.08256881 ...,  0.43225806  0.48993289  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.199119\n",
      "With standard deviation: 1.340313\n",
      "\n",
      " Mean performance on test set: 12.753387\n",
      "With standard deviation: 5.145288\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 8.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 8 of size 185 built in 1.68448805809021 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.015625    0.015625\n",
      "   0.01639344]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01481481  0.01481481\n",
      "   0.01550388]\n",
      " [ 0.125       0.08695652  1.         ...,  0.07438017  0.07438017\n",
      "   0.07826087]\n",
      " ..., \n",
      " [ 0.015625    0.01481481  0.07438017 ...,  1.          0.58169935\n",
      "   0.3964497 ]\n",
      " [ 0.015625    0.01481481  0.07438017 ...,  0.58169935  1.          0.44785276]\n",
      " [ 0.01639344  0.01550388  0.07826087 ...,  0.3964497   0.44785276  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.358221\n",
      "With standard deviation: 1.843147\n",
      "\n",
      " Mean performance on test set: 13.047098\n",
      "With standard deviation: 5.271835\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 9.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 9 of size 185 built in 1.9654510021209717 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.015625    0.015625\n",
      "   0.01587302]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01481481  0.01481481\n",
      "   0.01503759]\n",
      " [ 0.125       0.08695652  1.         ...,  0.07438017  0.07438017\n",
      "   0.07563025]\n",
      " ..., \n",
      " [ 0.015625    0.01481481  0.07438017 ...,  1.          0.58169935\n",
      "   0.38728324]\n",
      " [ 0.015625    0.01481481  0.07438017 ...,  0.58169935  1.          0.43712575]\n",
      " [ 0.01587302  0.01503759  0.07563025 ...,  0.38728324  0.43712575  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.360024\n",
      "With standard deviation: 1.848342\n",
      "\n",
      " Mean performance on test set: 13.178933\n",
      "With standard deviation: 5.277067\n",
      "\n",
      "\n",
      " #--- calculating kernel matrix when depth = 10.0 ---#\n",
      "\n",
      " Loading dataset from file...\n",
      "\n",
      " Calculating kernel matrix, this could take a while...\n",
      "\n",
      " --- kernel matrix of path kernel up to 10 of size 185 built in 2.2494258880615234 seconds ---\n",
      "[[ 1.          0.38888889  0.125      ...,  0.015625    0.015625    0.015625  ]\n",
      " [ 0.38888889  1.          0.08695652 ...,  0.01481481  0.01481481\n",
      "   0.01481481]\n",
      " [ 0.125       0.08695652  1.         ...,  0.07438017  0.07438017\n",
      "   0.07438017]\n",
      " ..., \n",
      " [ 0.015625    0.01481481  0.07438017 ...,  1.          0.58169935\n",
      "   0.38285714]\n",
      " [ 0.015625    0.01481481  0.07438017 ...,  0.58169935  1.          0.43195266]\n",
      " [ 0.015625    0.01481481  0.07438017 ...,  0.38285714  0.43195266  1.        ]]\n",
      "\n",
      " Saving kernel matrix to file...\n",
      "\n",
      " Mean performance on train set: 1.362078\n",
      "With standard deviation: 1.854262\n",
      "\n",
      " Mean performance on test set: 13.253773\n",
      "With standard deviation: 5.264247\n",
      "\n",
      "\n",
      "  depth    rmse_test    std_test    rmse_train    std_train    k_time\n",
      "-------  -----------  ----------  ------------  -----------  --------\n",
      "      0     12.58        2.73235      12.1209      0.500467  0.377576\n",
      "      1     12.6215      2.18866      10.2243      0.734261  0.456332\n",
      "      2      7.42903     2.69395       2.71885     0.732922  0.585278\n",
      "      3      9.02468     2.50808       1.54        1.13813   0.706556\n",
      "      4     10.0811      3.6477        1.36029     1.42399   0.847957\n",
      "      5     11.3005      4.44163       1.08518     1.06206   1.00086\n",
      "      6     12.186       4.88816       1.06443     1.00191   1.19792\n",
      "      7     12.7534      5.14529       1.19912     1.34031   1.4372\n",
      "      8     13.0471      5.27184       1.35822     1.84315   1.68449\n",
      "      9     13.1789      5.27707       1.36002     1.84834   1.96545\n",
      "     10     13.2538      5.26425       1.36208     1.85426   2.24943\n"
     ]
    }
   ],
   "source": [
    "%load_ext line_profiler\n",
    "\n",
    "import sys\n",
    "sys.path.insert(0, \"../\")\n",
    "from pygraph.utils.utils import kernel_train_test\n",
    "from pygraph.kernels.untildPathKernel import untildpathkernel\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "datafile = '../../../../datasets/acyclic/Acyclic/dataset_bps.ds'\n",
    "kernel_file_path = 'kernelmatrices_path_acyclic/'\n",
    "\n",
    "kernel_para = dict(node_label = 'atom', edge_label = 'bond_type', labeled = True, k_func = 'tanimoto')\n",
    "\n",
    "# kernel_train_test(datafile, kernel_file_path, treeletkernel, kernel_para, normalize = False)\n",
    "\n",
    "kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, \\\n",
    "    hyper_name = 'depth', hyper_range = np.linspace(0, 20, 21), normalize = True)\n",
    "kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, \\\n",
    "    hyper_name = 'depth', hyper_range = np.linspace(0, 20, 21), normalize = False)\n",
    "\n",
    "kernel_para['k_func'] = 'minmax'\n",
    "kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, \\\n",
    "    hyper_name = 'depth', hyper_range = np.linspace(0, 10, 11), normalize = True)\n",
    "kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, \\\n",
    "    hyper_name = 'depth', hyper_range = np.linspace(0, 10, 11), normalize = False)\n",
    "\n",
    "# # kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, normalize = False)\n",
    "\n",
    "# kernel_para['depth'] = 10\n",
    "# %lprun -f untildpathkernel \\\n",
    "#     kernel_train_test(datafile, kernel_file_path, untildpathkernel, kernel_para, normalize = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# results\n",
    "\n",
    "# kernel Tanimoto with y normalization\n",
    "  depth    rmse_test    std_test    rmse_train    std_train     k_time\n",
    "-------  -----------  ----------  ------------  -----------  ---------\n",
    "      0      41.6202     6.453         43.6169      2.13212  0.0904737\n",
    "      1      38.8446     6.44648       40.8329      3.44147  0.175414\n",
    "      2      35.2915     4.7813        35.7461      1.61134  0.344896\n",
    "      3      29.4845     3.90351       28.4646      3.00137  0.553939\n",
    "      4      22.6693     6.28053       19.2517      3.42893  0.770649\n",
    "      5      21.7956     5.5225        16.886       2.60519  1.01558\n",
    "      6      20.6049     5.49983       13.1097      2.58431  1.33302\n",
    "      7      20.3479     5.17631       12.0152      2.5928   1.60266\n",
    "      8      19.8228     5.13769       10.7981      2.13082  1.81218\n",
    "      9      19.8734     5.10369       10.7997      2.09549  2.21726\n",
    "     10      19.8708     5.09217       10.7787      2.10002  2.41006\n",
    "     11      19.8708     5.09217       10.7787      2.10002  2.74401\n",
    "     12      19.8708     5.09217       10.7787      2.10002  2.72344\n",
    "     13      19.8708     5.09217       10.7787      2.10002  2.61634\n",
    "     14      19.8708     5.09217       10.7787      2.10002  2.6295\n",
    "     15      19.8708     5.09217       10.7787      2.10002  2.66416\n",
    "     16      19.8708     5.09217       10.7787      2.10002  2.73013\n",
    "     17      19.8708     5.09217       10.7787      2.10002  2.63286\n",
    "     18      19.8708     5.09217       10.7787      2.10002  2.59294\n",
    "     19      19.8708     5.09217       10.7787      2.10002  2.63685\n",
    "     20      19.8708     5.09217       10.7787      2.10002  2.52734\n",
    "\n",
    "# kernel Tanimoto without y normalization\n",
    "  depth    rmse_test    std_test    rmse_train    std_train    k_time\n",
    "-------  -----------  ----------  ------------  -----------  --------\n",
    "      0      42.6459     6.56063       42.7871     0.675806  0.102753\n",
    "      1      39.1743     6.19537       38.8801     0.623999  0.183017\n",
    "      2      35.6042     4.53921       35.3483     0.727833  0.33236\n",
    "      3      30.1922     5.11032       28.0476     1.0778    0.540039\n",
    "      4      23.7515     7.80856       18.8786     1.7119    0.805467\n",
    "      5      23.4823     7.72712       16.3391     1.39769   1.0196\n",
    "      6      22.7454     8.02805       12.5238     1.0404    1.2963\n",
    "      7      22.8316     7.97837       11.3717     0.925446  1.54621\n",
    "      8      22.5861     8.06789       10.1321     0.52558   1.86582\n",
    "      9      22.7668     8.00571       10.0785     0.518149  2.18504\n",
    "     10      22.8697     7.94456       10.0756     0.67282   2.35276\n",
    "     11      22.8697     7.94456       10.0756     0.67282   2.62744\n",
    "     12      22.8697     7.94456       10.0756     0.67282   2.72091\n",
    "     13      22.8697     7.94456       10.0756     0.67282   2.69906\n",
    "     14      22.8697     7.94456       10.0756     0.67282   2.63283\n",
    "     15      22.8697     7.94456       10.0756     0.67282   2.6557\n",
    "     16      22.8697     7.94456       10.0756     0.67282   2.62181\n",
    "     17      22.8697     7.94456       10.0756     0.67282   2.59382\n",
    "     18      22.8697     7.94456       10.0756     0.67282   2.65336\n",
    "     19      22.8697     7.94456       10.0756     0.67282   2.62849\n",
    "     20      22.8697     7.94456       10.0756     0.67282   2.68269\n",
    "    \n",
    "# kernel MinMax with y normalization    \n",
    "  depth    rmse_test    std_test    rmse_train    std_train    k_time\n",
    "-------  -----------  ----------  ------------  -----------  --------\n",
    "      0     12.6827      2.74882     12.2079       0.700182  0.38939\n",
    "      1     12.6098      2.37278     10.2792       0.914688  0.472962\n",
    "      2      8.06061     2.47045      2.58881      0.557162  0.576836\n",
    "      3      9.75514     3.04917      1.27267      0.760432  0.716913\n",
    "      4     10.3192      3.61667      1.03229      0.72838   0.834242\n",
    "      5     10.6593      4.12052      0.923543     0.660532  0.993821\n",
    "      6     11.1025      4.33055      0.878589     0.603598  1.17534\n",
    "      7     11.353       4.30546      0.944049     0.694844  1.43584\n",
    "      8     11.299       4.34965      1.03398      0.775622  1.7006\n",
    "      9     11.3327      4.32412      1.00319      0.57207   2.01943\n",
    "     10     11.3435      4.32726      1.00227      0.570937  2.24333\n",
    "\n",
    "# kernel MinMax without y normalization\n",
    "  depth    rmse_test    std_test    rmse_train    std_train    k_time\n",
    "-------  -----------  ----------  ------------  -----------  --------\n",
    "      0     12.58        2.73235      12.1209      0.500467  0.377576\n",
    "      1     12.6215      2.18866      10.2243      0.734261  0.456332\n",
    "      2      7.42903     2.69395       2.71885     0.732922  0.585278\n",
    "      3      9.02468     2.50808       1.54        1.13813   0.706556\n",
    "      4     10.0811      3.6477        1.36029     1.42399   0.847957\n",
    "      5     11.3005      4.44163       1.08518     1.06206   1.00086\n",
    "      6     12.186       4.88816       1.06443     1.00191   1.19792\n",
    "      7     12.7534      5.14529       1.19912     1.34031   1.4372\n",
    "      8     13.0471      5.27184       1.35822     1.84315   1.68449\n",
    "      9     13.1789      5.27707       1.36002     1.84834   1.96545\n",
    "     10     13.2538      5.26425       1.36208     1.85426   2.24943"
   ]
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