{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "D&D\n",
      "\n",
      "--- This is a classification problem ---\n",
      "\n",
      "1. Loading dataset from file...\n",
      "\n",
      "2. Calculating gram matrices. This could take a while...\n",
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 1.0} is: \n",
      "getting paths:   2%|▏         | 20/1178 [02:06<2:02:13,  6.33s/it]"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-d13a300af33b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     58\u001b[0m         \u001b[0;34m(\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'task'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'task'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mds\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m'classification'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNUM_TRIALS\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     59\u001b[0m         \u001b[0mdatafile_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'dataset_y'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'dataset_y'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mds\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 60\u001b[0;31m         extra_params=(ds['extra_params'] if 'extra_params' in ds else None))\n\u001b[0m\u001b[1;32m     61\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/media/ljia/DATA/research-repo/codes/Linlin/py-graph/pygraph/utils/model_selection_precomputed.py\u001b[0m in \u001b[0;36mmodel_selection_for_precomputed_kernel\u001b[0;34m(datafile, estimator, param_grid_precomputed, param_grid, model_type, NUM_TRIALS, datafile_y, extra_params)\u001b[0m\n\u001b[1;32m     99\u001b[0m             \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'gram matrix with parameters'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams_out\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'is: '\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 101\u001b[0;31m         \u001b[0mKmatrix\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcurrent_run_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mestimator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mparams_out\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    102\u001b[0m         \u001b[0mKmatrix_diag\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mKmatrix\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdiagonal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/media/ljia/DATA/research-repo/codes/Linlin/py-graph/pygraph/kernels/untilHPathKernel.py\u001b[0m in \u001b[0;36muntilhpathkernel\u001b[0;34m(node_label, edge_label, depth, k_func, *args)\u001b[0m\n\u001b[1;32m     64\u001b[0m             \u001b[0mnode_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnode_label\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     65\u001b[0m             \u001b[0medge_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0medge_label\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 66\u001b[0;31m                 range(0, len(Gn)), desc='getting paths', file=sys.stdout)\n\u001b[0m\u001b[1;32m     67\u001b[0m     ]\n\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/media/ljia/DATA/research-repo/codes/Linlin/py-graph/pygraph/kernels/untilHPathKernel.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m     63\u001b[0m             \u001b[0mds_attrs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     64\u001b[0m             \u001b[0mnode_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnode_label\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 65\u001b[0;31m             \u001b[0medge_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0medge_label\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtqdm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     66\u001b[0m                 range(0, len(Gn)), desc='getting paths', file=sys.stdout)\n\u001b[1;32m     67\u001b[0m     ]\n",
      "\u001b[0;32m/media/ljia/DATA/research-repo/codes/Linlin/py-graph/pygraph/kernels/untilHPathKernel.py\u001b[0m in \u001b[0;36mfind_all_paths_until_length\u001b[0;34m(G, length, ds_attrs, node_label, edge_label)\u001b[0m\n\u001b[1;32m    172\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0;36m2\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mneighbor\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mpath\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    173\u001b[0m                     \u001b[0mtmp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpath\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mneighbor\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 174\u001b[0;31m                     \u001b[0;32mif\u001b[0m \u001b[0mtmp\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mpath_l_new\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    175\u001b[0m                         \u001b[0mpath_l_new\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtmp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    176\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "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.untilHPathKernel import untilhpathkernel\n",
    "\n",
    "dslist = [   \n",
    "#     {'name': 'Acyclic', 'dataset': '../datasets/acyclic/dataset_bps.ds', 'task': 'regression'}, # node_labeled\n",
    "#     {'name': 'COIL-DEL', 'dataset': '../datasets/COIL-DEL/COIL-DEL_A.txt'}, # edge_labeled\n",
    "#     {'name': 'PAH', 'dataset': '../datasets/PAH/dataset.ds',}, # unlabeled\n",
    "#     {'name': 'Mutagenicity', 'dataset': '../datasets/Mutagenicity/Mutagenicity_A.txt'}, # fully_labeled\n",
    "#     {'name': 'MAO', 'dataset': '../datasets/MAO/dataset.ds',},\n",
    "\n",
    "#     {'name': 'MUTAG', 'dataset': '../datasets/MUTAG/MUTAG.mat',\n",
    "#         'extra_params': {'am_sp_al_nl_el': [0, 0, 3, 1, 2]}},\n",
    "#     {'name': 'Alkane', 'dataset': '../datasets/Alkane/dataset.ds', 'task': 'regression', \n",
    "#         'dataset_y': '../datasets/Alkane/dataset_boiling_point_names.txt',},\n",
    "#     {'name': 'BZR', 'dataset': '../datasets/BZR_txt/BZR_A_sparse.txt'},\n",
    "#     {'name': 'COX2', 'dataset': '../datasets/COX2_txt/COX2_A_sparse.txt'},    \n",
    "#     {'name': 'ENZYMES', 'dataset': '../datasets/ENZYMES_txt/ENZYMES_A_sparse.txt'},\n",
    "#     {'name': 'DHFR', 'dataset': '../datasets/DHFR_txt/DHFR_A_sparse.txt'},\n",
    "#     {'name': 'SYNTHETIC', 'dataset': '../datasets/SYNTHETIC_txt/SYNTHETIC_A_sparse.txt'},\n",
    "#     {'name': 'MSRC9', 'dataset': '../datasets/MSRC_9_txt/MSRC_9_A.txt'},\n",
    "#     {'name': 'MSRC21', 'dataset': '../datasets/MSRC_21_txt/MSRC_21_A.txt'},\n",
    "#     {'name': 'FIRSTMM_DB', 'dataset': '../datasets/FIRSTMM_DB/FIRSTMM_DB_A.txt'},\n",
    "\n",
    "#     {'name': 'PROTEINS', 'dataset': '../datasets/PROTEINS_txt/PROTEINS_A_sparse.txt'},\n",
    "#     {'name': 'PROTEINS_full', 'dataset': '../datasets/PROTEINS_full_txt/PROTEINS_full_A_sparse.txt'},\n",
    "#     {'name': 'D&D', 'dataset': '../datasets/D&D/DD.mat',\n",
    "#      'extra_params': {'am_sp_al_nl_el': [0, 1, 2, 1, -1]}},\n",
    "#     {'name': 'AIDS', 'dataset': '../datasets/AIDS/AIDS_A.txt'},\n",
    "#     {'name': 'NCI1', 'dataset': '../datasets/NCI1/NCI1.mat',\n",
    "#         'extra_params': {'am_sp_al_nl_el': [1, 1, 2, 0, -1]}},\n",
    "#     {'name': 'NCI109', 'dataset': '../datasets/NCI109/NCI109.mat',\n",
    "#         'extra_params': {'am_sp_al_nl_el': [1, 1, 2, 0, -1]}},\n",
    "#     {'name': 'NCI-HIV', 'dataset': '../datasets/NCI-HIV/AIDO99SD.sdf',\n",
    "#         'dataset_y': '../datasets/NCI-HIV/aids_conc_may04.txt',},\n",
    "    \n",
    "#     # not working below\n",
    "#     {'name': 'PTC_FM', 'dataset': '../datasets/PTC/Train/FM.ds',},\n",
    "#     {'name': 'PTC_FR', 'dataset': '../datasets/PTC/Train/FR.ds',},\n",
    "#     {'name': 'PTC_MM', 'dataset': '../datasets/PTC/Train/MM.ds',},\n",
    "#     {'name': 'PTC_MR', 'dataset': '../datasets/PTC/Train/MR.ds',},\n",
    "]\n",
    "estimator = untilhpathkernel\n",
    "param_grid_precomputed = {'depth': np.linspace(1, 10, 11), 'k_func': ['tanimoto', 'MinMax']}\n",
    "param_grid = [{'C': np.logspace(-10, 10, num = 41, base = 10)}, \n",
    "              {'alpha': np.logspace(-10, 10, num = 41, base = 10)}]\n",
    "\n",
    "for ds in dslist:\n",
    "    print()\n",
    "    print(ds['name'])\n",
    "    model_selection_for_precomputed_kernel(\n",
    "        ds['dataset'], estimator, param_grid_precomputed, \n",
    "        (param_grid[1] if ('task' in ds and ds['task'] == 'regression') else param_grid[0]), \n",
    "        (ds['task'] if 'task' in ds else 'classification'), NUM_TRIALS=30,\n",
    "        datafile_y=(ds['dataset_y'] if 'dataset_y' in ds else None),\n",
    "        extra_params=(ds['extra_params'] if 'extra_params' in ds else None))\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Acyclic\n",
      "\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",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 0.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 55108.96it/s]\n",
      "calculating kernels:  72%|███████▏  | 12079/16836.0 [00:00<00:00, 120786.37it/s]\n",
      " --- kernel matrix of path kernel up to 0 of size 183 built in 0.14220523834228516 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 122299.39it/s]\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd9885f0940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 0.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 43201.31it/s]\n",
      "calculating kernels:  91%|█████████▏| 15391/16836.0 [00:00<00:00, 37492.42it/s]\n",
      " --- kernel matrix of path kernel up to 0 of size 183 built in 0.44092249870300293 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 38669.33it/s]\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"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97a7c8cc0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 1.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 14834.32it/s]\n",
      "calculating kernels:  98%|█████████▊| 16542/16836.0 [00:00<00:00, 83180.09it/s]\n",
      " --- kernel matrix of path kernel up to 1 of size 183 built in 0.21779394149780273 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 82367.69it/s]\n",
      "[[ 1.          0.75        0.2        ...,  0.16666667  0.16666667\n",
      "   0.16666667]\n",
      " [ 0.75        1.          0.16666667 ...,  0.14285714  0.14285714\n",
      "   0.14285714]\n",
      " [ 0.2         0.16666667  1.         ...,  0.75        0.75        0.75      ]\n",
      " ..., \n",
      " [ 0.16666667  0.14285714  0.75       ...,  1.          1.          1.        ]\n",
      " [ 0.16666667  0.14285714  0.75       ...,  1.          1.          1.        ]\n",
      " [ 0.16666667  0.14285714  0.75       ...,  1.          1.          1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97a734208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 1.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 14372.93it/s]\n",
      "calculating kernels:  89%|████████▉ | 14989/16836.0 [00:00<00:00, 30137.62it/s]\n",
      " --- kernel matrix of path kernel up to 1 of size 183 built in 0.5662024021148682 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 30481.66it/s]\n",
      "[[ 1.          0.71428571  0.25       ...,  0.08333333  0.08333333\n",
      "   0.08333333]\n",
      " [ 0.71428571  1.          0.2        ...,  0.07692308  0.07692308\n",
      "   0.07692308]\n",
      " [ 0.25        0.2         1.         ...,  0.23809524  0.23809524\n",
      "   0.23809524]\n",
      " ..., \n",
      " [ 0.08333333  0.07692308  0.23809524 ...,  1.          1.          1.        ]\n",
      " [ 0.08333333  0.07692308  0.23809524 ...,  1.          1.          1.        ]\n",
      " [ 0.08333333  0.07692308  0.23809524 ...,  1.          1.          1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97a6b7dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 2.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 7832.94it/s]\n",
      "calculating kernels: 100%|█████████▉| 16768/16836.0 [00:00<00:00, 56401.22it/s]\n",
      " --- kernel matrix of path kernel up to 2 of size 183 built in 0.3272366523742676 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 55566.46it/s]\n",
      "[[ 1.          0.5         0.14285714 ...,  0.1         0.1         0.1       ]\n",
      " [ 0.5         1.          0.125      ...,  0.09090909  0.09090909\n",
      "   0.09090909]\n",
      " [ 0.14285714  0.125       1.         ...,  0.57142857  0.57142857\n",
      "   0.57142857]\n",
      " ..., \n",
      " [ 0.1         0.09090909  0.57142857 ...,  1.          1.          1.        ]\n",
      " [ 0.1         0.09090909  0.57142857 ...,  1.          1.          1.        ]\n",
      " [ 0.1         0.09090909  0.57142857 ...,  1.          1.          1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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Qa4+lMf/d8n4QuiwdXa6OaiOqXLWnE9cPIkqnOJj0NOlWokOqIfaYrFm02Vhn/rvx/CBs+h3WQflBhPUK99V2TG3GqBwMIM918S8YSV1oRw7Qf2QaLnb2AUUHxWNpbBxsR3qI3Q+Mt7Jozg5iuL8VzdlBbBxsx7LWAaz2Ptj5zmlI7zvuPr93xJ+Xm7ODfjvDaPV/VnKG+1v99+U7pwGA/00FAIm8+9xw5ERAlo4uN1DeX75ctaejt61QOug0HDlR0r9qMelp0i1Met/x2GOyrHUADxnK853TjH1XJPIOiumk/2zT77AOy1oHsDrrVOyr7Zgax+g9q6oA3ENKyUlpgTPNQfu2Rj+QRpkpm7pPenbrAhKNGfeAqcvdFty/6xas1l2tez4Dbm5C6vBJ99vVO4NQh5gAsKFFc7X25KgzjHUnOvDM4U+6b4w4g9Bl6ehydVQbUeV+ezoxzyCidIqDSU+jbgYd4o7JnN4VZlfrw58s62odPoNYOe+livqFdZjTu8Lsah3qq41sU71qEDOnIAhGGPXvKFUXsRjnJKZzV2Ih3nn0CnRsT6DtJ0f8+IvPvLbPN3nO6XUCB5H5zmn+Yd3WH34vYAJV31Kb7rnRb0c/BFNy1El0blY7tj31LQDBQ7sFO90g1JXzdgRk6UQdrqk2ospVezqmA0Olg86oedesUxxMepp0C7PuREfsMVGHjGG2PfWtyENdwB0DtRV6vWs9bvjcXRX1C+uQyDnIT02X6BXuq41sUz0ASF6w2zpmIvvRNv6jf7BbhfzJZd+fvLEYRARKJtEycwj5lraAaVM3eWb2ng6YMtP7jgfMfboJVH3QntFMUQEzmidHbUUyewf8ZbZuHlNnFMu7DgRk6USa51QbEeWm7YfJPKh00AmYd8eKQU8bU9/ytvhjorYIYdad6Ig0jQLeOUl/EsNwzaQ2JsawDlQYQWqgqUSvqky8hnouu63qAhNjBVEXE4RytR461OLmA/DcYYuFkYDJMzerKXIFETaB6uZPRaUVxOi316gprMc7sFp3osO4GgjL1am0gjB/W5aa4XoMh2am/lWLSU8bU181YxK1gnDbM5tGAXcM1KFjlIm4kg5RK4hqTLymegBwt+F95ZB7MWIwoy/pJnv5g9EPkG7ybHz3UMCUmX7vSMDcp5tA/VgFzewZDgdv9EyjAND47ge+eUs3j6k4iPt33RKQpRNlnjOZXfVykznNZB40xWLo5t2xUsk8HEViej72mPjmyhBzeldEmkYBLxZjhhuLMad3hbUZNhyLkZrSWKJXuK+25kvzGP2JVV3ATTlXKNbVv2AJdaGd2mKcvukEsKEDTenj/hZj9/Xfdi0aN51w3ae97QcAd+71tgirFm7xVxEqwAsAlqQ+M9qQVtd/7dVnTwbgLvNXeifdKnfBnlsfD8rS0eXGKDed5uttK0z5E3zrTZROcTDoadItzPK2A7HHhADjFmPVwi3GvitWv3AbmvuTWJ292I3m7LHYu4d0IEOZalvHSrahHhBvBcGYvCnnBEGoiGSUsiIzu5M/cc2X0Pr0q2DHwWf1YK1HjvoWjfLBWjcGXa29b6mtP/ye307lYC339DrK1VqXpVN9sFbpaXlcV+soneJgDtaqfJKf2TsQe0yig7XuiuVqbWtlsQvWCvbVRrapHgDs+MF91taGC369nX9/w/VWba35+NMV5RLRYgB/CzfN4zeZeW3o97MAfAfAVO89q5h5azmZsoIQhBoyXo5S2m12C+HeQ9NHRM8xs35Z1f0ANjPzY95Nd1sBXFRObn2vbwThLEa5Wo/T3Zz+bXbMnAegbrMLNgmc471uA1DRVFUXK4hwuPeGfVehuT8JfOqXJeHeylaubOJu+C5QbEoik05hpCkZGe6tbymUHPcZAPow0uRaT0amjM6b/gCVCW2OCuuOsuurctWejt52iQ46hv5Vi0lPk25hMlWMSVS490hT0th3RYP3HvVs66ehv0+lBwjXDffVdkxtxqgS45gPwuY2u68B+D4RrQTQDOC3KwmtiwkiHO7d3dmHtdmZbnahULi3spWv9YJulF/9plM3AvkCGk45gVRy+n4zuCft8+Wp923S9r/hMwjkC5E2+mgPwCi7fl9Jezo2ZxDK2Wc8wr1NekbpFtYh7phEhnt77ZU7g2jQnm39NMLh3sbQ9gp+EVFYjVEZmIFC0XqCmEFEu7Sf13mXT8WhG8CTzPx1IroGwFNE9FFmLs0i7FEXE4QgTEbcLYb1BHG0wiFlxdvsANwFYDEAMPM/E1EjgBkAIi/4qIsJQjJKjSIZpSZPRilgXD0pbW6z2wvgBgBPEtF8AI0Aynra1cUEIRmlRpGMUpMno5QbizE+E0TUbXZE9CCAXcz8HID/DOAbRPQlr/nf4wp+DnUxQcgKYhRZQUymFUSsLUZFPJ+GraGyr2iv3wLwm3Fk1sUEIQiTFXG1tkC2GKPIFmMSbTEYdX8vRl24WkvCmFEkYczkSRgzff65vOTJsC+Tmf/xyW9N3oQxgjBZkS2GBeUySulelSNNLQFvyWImGTiM1L0slYdkUfN20z31lJyMV1/3ztO3Hiqb04aWqwKydKI8AFUbUeXlDjB1TBmldA/SsWLS0/YQMO6YKE/IMOEtX5jh/lb/YHrdvA4rL8awDg0RelXyrIxifDJKyQRRkXIZpXSvyvNOOQFvyUTOCXkUjnpZrtQ9LDX85aUnR9VvOOWUnE8Ao9mcujv7SmQZ5eqoNiLKbc8tTBmluiP6VxUGPW33+HHHRHlChglblcL0aFcelPNCLadDIueg4cPSrU9VXqSGekD8jFKSck4QBDP2gVg1oz4mCGag6KBjewKHl+Yw9eXRy3LWvngT1izajJ4Hbkcilx9dORRGkMg7vo+AOsTqyQ5izaLNfhami3M5vxnlyw/Al6PqJ3KOfxio5ADwcxfM6V0RkKWjy9XxdY0oNx0+6m0rTPkTVLqzKJ3iYNLTpFuY4f7W2GNiugRItWfqu+L1rvXYeJl7WdKCnXdgZsQFO+V0SOQdNJxyKvbVRrapnsuDVnUBySglCEIFZAVhASUSoIY0TnafRPuWNtdL0LtNK3DL1r2nA7dnNRw5EbhhSr91S79xy0fz1PPlePVTh0/6NyrpNzKpb+o9tz4elKUT4QGo2ogqN93gZLqRypQc1di/KjHpaXO71PKuA7HHJCrt/cp5L0XexgWMJrVdnXXcnJQ2t1oZ0t4nh0vT3of7antjlmmM4uakHLGP5qwJdeEHISnnRpGUc5Mn5VzbvPP5t9bdbtXW1mt7xA9CECYbcgYhCIIZljMIQRAiOOsdpYjoFwAGATgARpj5SiKaBmAT3Gy5vwBwGzOPwwWSgnD2Ue8TxHgcoV7PzJdrByirAGxj5ksAbPN+FgQhBIPgFBNWj1pxJrYYSwFc573+DoAdAP60XAXJaj2KZLU2c/Zmta7vFcRYJwiGm0abATzuZdk9n5nV7aeHAJxfSYhktQ4iWa1LOVuzWtf7FmOsE8RvMfN+IjoPwItE9DP9l8zM3uRRAhEtB7AcAJLTpo5RDUGYmHCdTxBj2tww837v+QiAp+He7nOYiC4AAO/ZmFKbmdcx85XMfGWypXksagjCBGVcb9Y6I1Q9QRBRMxG1qtcAfgfAGwCeA/B5722fB/DsWJUUhLMVZrJ61IqxbDHOB/A0ESk565n5eSLqA7CZiO4C8D6A28aupiCcfZzVfhDMvAfAxw3lx+BezmGNpL0fRdLeT6K09xMgaW1deFJKVutRJKv1JMpqjfo/pKyLCUIQJieSUUoQhDLUQbaFssgEIQg1RLYYgiAYYZYJwgqxYowiVoxJZMXAWWzmHE/EijGKWDEmjxUDAIrF+p4g6iInpdzNOYrczTl57uZsnHshX/RwaUJiE29/9quSk1IQJhu1/3ouj0wQglAr5JBSEISy1PkSQiYIQaghsoKwgIhAySRaZg4h39IWMG3q6edGmloCaeWKmWTAnKmno1Op5PTr6fWUZkpOxquvpzHTrRvD/a0A3Buv4l51r9qIKi9nAtVROujoqfbGiklPWzNi3DFRKePChK1KYYb7W33T9rp5HVbp3sI6NEToVSkFXRRmXXdb1VXUgY2gLHUxQTAz2HEwdKgF5wwxkC/4pk09/dx5p5xAWrlEzgmlXhtNR7dST0Wn4Z9gqyvvvfoNp5wSEygA/zLZ7s74V937bUSU25pGTRfadkf0ryoMetqaEeOOiUoZFybslxKmJzvoWzHKpesrp0Mi56Dhw1LrSlXp9gz1gJhX7zHAdX71Xl1MEIIwWZEVhCAI0cgEIQiCmdqmk7OhPiYIZqDooGN7AoeX5jD15RHAc7te++JNWLNoM3oeuB2JXH707KEwgkTe8eMUlKddT3YQaxZtxuoX3Ex3F+dyfjMqbToAX46qn8g5vseikgPAv4l6Tu+KgCwdXa6Or2tEuclDUm9bYboNe07vipL+VYtJT5NuYYb7W2OPSSJv3t/rfz8Tr3etx8bL2rGsdQALdt6BmaarACrokMg7aDjlVOyrjWxTPZcHrer6jOMKgogWA/hbAEkA32TmtYb33Abga17LP2Xmsn/o+pggBGEyMo6OUkSUBPAogIUA9gHoI6LnmPkt7T2XALgPwG8y84B3XUVZ6vsIVRDOdtjyUZmrAexm5j3MnAewEe4tdzpfAPCouivXu66iLDJBCEItYbJ7ADOIaJf2WB6SdCGAfu3nfV6Zzq8B+DUi+r9E9JK3JSmLbDEEoZbYn0EcHYdozgYAl8C9O7cTwI+IaAEz/7JchZpDiQSoIY2T3SfRvqXNTYaSLyDRmMGeWx/H3O13oqn7JNruPQ1ubkLq8EnwlEY0HDnhJ05ZOW+HfzHr/btuwZ5bHwcALOn5zGhDWkISX45XP3X4JFbOewmA66WoHJHUYeCeWx8PytKJSHSi2ogqV+3p6G0rlA46xv5ViUlPk25hlncdiD0mKuFLmJXzXjL2XTGndwWa+5NYnXWwauEWPHP4kxX1C+tAhREkh5tK9Ar31Uq2oR4Qz1HK3T6MmxVjP4Cs9nOnV6azD8BOZi4AeI+I3oE7YZgHHbLFEISa4qadq/ywoA/AJUT0ESJKA1gG95Y7nWfgrh5ARDPgbjn2lBNaFwljMrM7+RPXfAmtT78Kdhx89s2DfpKY+Y8c9ZPHPP/+y4GkMM3ZwUDilEBGKe9bausPv+e3E04xF84opRKFRGWU0mXpVMocFVVuSkwSN6NUlE5xMOlpkzQls3cg9pgs2HmH0Wx7w+fuipVRyjahja7Dgp13uCvNCn21kW2qBwA7fnCfdWKXzEWdPPOBP7Rqa+9/+NOKcoloCYD/CtfM+QQzP0REDwLYxczPkXsN3tcBLAbgAHiImTeWk1kXWwxBmLSMo6MUM28FsDVU9hXtNQP4svewQiYIQagVDFCx1kqURyYIQagZNK4riDOBTBCCUEtqfwRYFpkgBKGWyAQhCEIkMkEIgmBkfB2lzggyQQhCDSFZQQiCEIlMEIIgRCErCEEQopEzCEEQjNgng6kZMkEIQi2RCUIQhCjkDEIQhGjqfIKomDCGiJ4goiNE9IZWNo2IXiSin3vP7V45EdHfEdFuInqNiD5xJpUXhIkMedGcNo9aYbOCeBLAfwPwXa1sFYBtzLyWiFZ5P/8pgBvhprC6BEAXgMe857IkUkXkWwjkJXlZ3nYAD0/Po2lKLnCRr57kRV3kurzLTf7xzN4BIJ1CZu+AmyxGu9RXoS73VW2EE8hk9g4AcC+zVWnJ1L0Z3NwUebGsLlcn6jJaVa7a08kYUrUpHXRUqjybS3YrYdLTpFsJ6VTsMVGX74bJ7B0w9l2hUtWpZ9vLhXUdhvtbvUuPg3qF+2o7plZjVImJbsVg5h8R0UWh4qXwUlcB+A6AHXAniKUAvuslpniJiKYS0QXMfLBcG8VCAukhBnuX5aw70YHisTSGTqaA/FH/Il/9n3rtsTSas4P+HzM3qz2YUcqTHcwe1Fc2o9SmWe0AojNKRV9o21dVRinVnk7cjFJ2l+yWx6SnSbcwmb0Dscekx7t8N8ymWe2xMkrZXi6sv68nO4juzlK9wn21HVPjGL1jVXWUib7FiOB87Z/+EIDzvdc2qbcBAES0XKXwdoZ9ULlLAAAQnUlEQVSGq1RDECY2xHaPWjHmpLXeaiF2F5h5HTNfycxXJluax6qGIExMxu/inDNCtRPEYSK6AAC8Z3VDj03qbUEQADflXJ2vIKyyWntnEP+bmT/q/fzXAI5ph5TTmPleIvq3AO4BsATu4eTfMfPVleSfk5jOXYmFeOfRK9CxPYG2nxzxM1l/5rV9fobrOb1O4Jwh3zktkN1Zz3i9auEWAG62a4W+x1Vy1EFTbla7n81Y35OrC1pXztsRkKUTtXdWbUSVm7Inm84DTJfE6tm8x4pJT9us0XHHRJ0hhNn21Lciz2yA0ct9m7ODeL1rvVXW7bAOiZyD/NR0iV7hvtrINtUDgOQFu62zWjdemOVZf2CXP/bn93/ZWu54UvGQkog2wD2QnEFE+wB8FcBaAJuJ6C4A7wO4zXv7VriTw24AHwK48wzoLAhnDRM+aS0zd0f86gbDexnAF8eqlCAI9YF4UgpCLalzM6dMEIJQK2p8AGmDTBCCUEtkghAEIRKZIARBMEGQLYYgCFHI3Zx2EBEomUTLzCHkW9oCEZx6ZGdm7+lAxGZ63/FAVKMe6akcbp7RIu4C0YKeHBX1mdk74Adu6VGAw/2tAIDlXQcCsnQioxBVGxHlpqhBUxSk0kEnEMU6Vgx62kQ0Lm+LPyYqGjPMuhMdkRGggDsGzf1JDMONBrWJpAzrQIURpAaaSvSqKpLVUM9lt1VdnzpfQVh5Up5pMrM7+RPXfAmtT78Kdhx89s2Dvvfk/EeO+l6Vz7//csBbsjk7GPAoDERzeh/CrT/8nt9OOLw7HM2pPOiiojl1WTqVojajyk0ee3GjOaN0ioNJTxtvwszegdhjsmDnHXi9a31J+Q2fuytWNKetp6euw4Kdd2DlvB0V+2oj21QPAHb84D5rj8emC7L8kTvtPCn/9a/q1JNSEIQzh5xBCIIQjUwQgiAYkbT3giCUQ6wYgiBEImcQFoST1m7YdxWa+5PAp35ZkrRWmcKUyctNQgoUm5LIpFMYaUpGJq3VrRZKjvsMAH0YaXLzFIxMGc2j4w9QmQStUclpo8x2qly1p6O3XaKDjqF/1WLS06RbmEwVYxKVtHakKWnsu6LBe496tjXD6u9TSY7DdcN9tR1TmzGqiEwQlQknre3u7MPa7EzwoZaSpLUqEenarINmLwkpAGw6dSOQL6DhlOPa2j3ZukkraPbq8+Wp923STGxhMyfyhchkJtGJTsyJW1X5pgiTno2ZU9nyxyNprUnPKN3COsQdk8iktV575cycDdqzTb/DOvR4SY4r9dU6aa3NGJVDziAEQYiCvEc9M+aktYIgjIFxTFpLRIuJ6G3v4qpVZd73WSJiIqroeCUThCDUkPFKWktESQCPwr286jIA3UR0meF9rQD+CMBOG/1kghCEWlK0fFTmagC7mXkPM+cBbIR7kVWYvwDwXwCcthFaF2cQqUHC4aU5tPQ6QNHB2hdvwppFm9HzwO3utXPe4aXKbNyTHcSaRZuxrHUAc3pXAAAuzuVAhRH3QK8w4u/t9IzQqq7+WgVC9WQHMdM7DFSHYQCQyLvPVBgxZpcOy41TPtNw+Ki3rVA66Kjr+KJ0ioNJT5NuJh3ijsnrXeuNdWZqh5Am1BioZ5t+h3V4vWs95vSuqNhX2zG1GaOyjG9GKdOlVYFrL727crPM/I9E9Cc2Qutigii0Ms5/NgNKJsEAVi3cgtUv3Aa+voi2nzS4hznJJF7vWo9180aDtR7KDo6mt3/2RnCqwU2pnmrwg7X0wCBVV3+tTG7L2w7ghowWrBXSkVMNxiCjsNw45ao9HVPbJkz9qxaTnibdTDrEHZPIYK3MXRX7rtLlFzNJq36HdViw8w6sWrilYl9tx9RmjCpiP0HMIKJd2s/rmHmdbWUiSgB4BMDvWbeIOpkgBGGyEmMFcbRCNGelS6taAXwUwA4iAoCZAJ4jopuZWZ94AsgEIQi1ZPy2GH0ALiGij8CdGJYB8PdKzHwCwAz1MxHtAPDH5SYHQA4pBaGmjJcVg5lH4N5q9wKAfwWwmZnfJKIHiejmavWTFYQg1Ipx9qRk5q1wb7fTy74S8d7rbGTWRUYpuZtzFLmbc/Lczdl8bpbnfdouo9Sr35jEGaXK5aTUA7dGmloCAVnFTDIQtKQHcqkgrKIWUKMHAyk5Ga++HgCkB/koM+iGlqsCsnSigoxUG1HlpqAgU5CTKSelHqQ2Vkx62gQsbdgXf0xUsFWYcArAMMP9rUhMz/vBXjaBUmEdGiL0qhS8FcVkyElZFxMEM4MdB0OHWnDOEAP5gh+gpQdunXfKCQRkJXJOKGhpNJBrpR7EpeF/e3hyVP2GU05JvkoAvs28u7OvRJZRro5qI6LcNo+lyZ+gO6J/VWHQ0y5gKf6YqGCrMGpyiGpX+aw0e8FetoFS4RVEw4elK5uqAtUM9QDgbquao1AdrODLURcThCBMSiSaUxCEckjCGEEQopEJQhCEKGQFIQiCGbl6zxJmoOigY3sCh5fmMPXl0QhOPbIzkcsHIjYTeScQ1ahHeq5+4TYAbpSnQo8WVHJU/UTO8f0N9ChAFbgzp3dFQJZOVBSir2tEucm/wRQFaQoe0qNYx4pJT9toybhjYopMVe1FRYAC7hhsvKwdy1oHsGDnHVaRlGEdEnkHDaecin21jdI0j9GDVnV9ZAVhARGQSCLfQsiedxycGo3gbO5PovfIFci3EBozyUDEZjGd9KMa9bsbe2dc4fpOAAGnHD1aUMlR9YuZpO9voOztALDxMteBqLk/aXTwCcvV8XWNKDf5N+htK5QOOqb+VYtJT5NuJh3ijglg1ln3czChJoeNg+0Y7m9FMTNSUT+TDqaycJs2sk314iK3e9virSDSQ4z+I9NwaeGYv4IYzjq49bxX0DM01//GN60gmrODGIZrJ7/1vFewOnsxACDxz1oiWpRfQTRnTwGAb28HgGWtrqfl6qwTkKVT7QpCtaejt61QOuiszjol/asWk54m3cIMozX2mEStIJqzp4x9V6jJYVnrAB7KDiKRS1fUz3YFEe6rjWxTvaoQPwgLvBXEgeuL6Hg2E1hB6Lkh5vRGryDCuSL0PBGKSisItZTX8wioZeSqhVsCsnSqXUGYtg6mPAqmpaypf9Vi0tM230LcMQHMKwj972dCbUEeUq7WFrkYbFcQ4b7a5nkwjVHc9Vy9ryDqIhZDbvceRW73njy3e7dMy/KCRf/Jqq2XNv7x5I3FEITJSr1bMSrmgyCiJ4joCBG9oZV9jYj2E9G/eI8l2u/u89Juv01Ei86U4oJwNkBFu0etsEkY8ySAxYbyv2Hmy73HVgDw0mwvA/DrXp2/99JxC4IQhuEeUto8akTFCYKZfwTguKW8pQA2MnOOmd+DG/t69Rj0E4SzmvHKKHWmGEvKuXuI6DVvC6IM9abU2xeOoQ1BOLsZx5u1zgTVThCPAbgYwOUADgL4elwBRLSciHYR0S5naLhKNQRh4qIcpc66FQQzH2Zmh5mLAL6B0W1EpdTbuox1zHwlM1+ZbGmuRg1BmNjYnj/U8xmECSK6QPvx0wCUheM5AMuIKOOl374EwMtjU1EQzl7q3YpR0Q+CiDYAuA7uzT77AHwVwHVEdDnc3dEvAKwAAC/N9mYAbwEYAfBFZq7oC5xIFZFvIZDn3KTnodTzU4bzTg6jNZCbUc9XqeeqVOiOUUqOyl0J9Pm5CPW8hf4ApVOR+RKjcimqNqLKTbkPTTkTjX8kQ/+qxaSnTV7GTBVjonJKhhlpSkbmsQRGc1mqZ5t+h3UY7m/F8q5SvarJx2mqVw317klZcYJg5m5DcaSrGTM/BOChOEoUCwmkhxjsxV/oeSiRP+rnpwznnWzODgZzM2r5KtW4615zQc+6Pl+eep+eizDsSYl8IdINODqXYl/Z8qjchzaelMFcnGOlVE+rvIxVjEmPl1MyjGqvnCdlg/Zs0++wDj3ZQaNe4b7ajqlt7spIGECxvmcI8aQUhFpS3/ODTBCCUEsm/BbjV0FqkHB4aQ4tvQ5QDCaJocJo8phwUphlrQOBxCl6KDh5svVISD0hiXqtYvp7soN+ohA9TFiFJ1dz1X2lclNiElOYtClEWk+UM1ZMetokTalmTF7vWm+sM1PbQphQY6CebRPa6Dq83rUec3pXVOyr7ZjaJpYpSx0ES5ajLiYIZ5qD9m2NSDRmwIURzJ5/CA99sxvo/iXa3mwC8gUkGjNYOW8HNrRche7OPjz0zW6szjqYPf8QACA/9XykBpqQn5pGakqjf4inoj0BBA6olBx1yNnd2Yf/OfXfAXAPChs+dA+g1J44OdwUkKVjOvjS24gqV+3p6G0rTPvy5HBTSf+qxaSnSbcwqYH4Y6KH4ofbM/Vd0XDK8aM9R5qSWDnv+xX1C+swp3cF9tz6eIle4b7ayDbVqwZZQVggh5RB5JCylLPxkJIYIDmkFAQhkjoP95YJQhBqiFy9JwiCmQlw9V5dpJw7JzGduxIL8c6jV6BjewJtPznip5n7zGv7/PRzc3qdQFq5fOe0QOo1PR2dn7PxnlBOSm/fqORk9roJYXOz2v1UY/o+VZ1or5y3I/ZV96qNqHJTajPTHtl0qq6n2hsrJj1tU7rFHROVMi7Mtqe+VfbyXmXBalY5KS1S4oV1SOQc5KemS/QK99VGtqkeACQv2G2dGu6c1gv5qiu+aNXW//nhn0nKOUGYbIgVQxCEaOpgBV8OmSAEoVYwQE59TxB1cQYhae9HkbT3kyft/TktF3LXx+62ausH//yAnEEIwmRDzJyCIEQjE4QgCEYY4kkpCIIZAtf9FmMsae8FQRgr45i0logWezfa7SaiVYbff5mI3vKuq9hGRLMryZQJQhBqBQNw2O5RAe8Gu0cB3AjgMgDd3k13Oj8BcCUzfwxAL4CHK8mVCUIQaggxWz0suBrAbmbew8x5ABvh3nTnw8zbmflD78eX4F5LURaZIAShlozfFiPurXZ3AfinSkLlkFIQakasS3FmENEu7ed1zLyumlaJ6N8DuBLAtRXfWw+elBLNOYpEc06eaM62pgv4mrm/b9XWC2+sKSuXiK4B8DVmXuT9fB8AMPNfhd732wB6AFzLzEcqtStbDEGoJUXLR2X6AFxCRB8hojSAZXBvuvMhot8A8DiAm20mB0C2GIJQU8bLD4KZR4joHgAvAEgCeMK76e5BALuY+TkAfw2gBcA/EBEA7GXmm8vJlQlCEGoFA3DGz5WSmbcC2Boq+4r2+rfjypQJQhBqRm1v7rahLg4piegDAMMAjtZalzEwAxNbf0D6MB7MZuZzbd7Y1jiTP5X9XSuhz+/+68kb7s3M5xLRrloMwHgx0fUHpA81oQ6+oMtRFxOEIExK5HZvQRCiYYDrO967niaIqrzC6oiJrj8gffjVMs5WjDNB3UwQ1bqN1gsTXX9A+lAT5AxCEIRIZIIQBMFM/ftByAQhCLWCARTlDEIQhChkBSEIQiQyQQiCYIQZ7JhvEqsXZIIQhFoinpSCIEQiWwxBEIwwixVDEIQyyApCEIQoWFYQgiCYEU9KQRCiYABi5hQEwQQDYDFzCoJghCVhjCAIZaj3FURdZLUWhMkIET0PNwu3DUeZefGZ1MeETBCCIEQid3MKghCJTBCCIEQiE4QgCJHIBCEIQiQyQQiCEIlMEIIgRCIThCAIkcgEIQhCJDJBCIIQyf8HIG+UAbd4JX0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97a6bb5f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 2.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 7431.02it/s]\n",
      "calculating kernels:  86%|████████▌ | 14515/16836.0 [00:00<00:00, 28858.84it/s]\n",
      " --- kernel matrix of path kernel up to 2 of size 183 built in 0.6057047843933105 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 29026.09it/s]\n",
      "[[ 1.          0.5         0.2        ...,  0.05882353  0.05882353\n",
      "   0.05882353]\n",
      " [ 0.5         1.          0.15384615 ...,  0.05405405  0.05405405\n",
      "   0.05405405]\n",
      " [ 0.2         0.15384615  1.         ...,  0.2         0.2         0.2       ]\n",
      " ..., \n",
      " [ 0.05882353  0.05405405  0.2        ...,  1.          0.93548387\n",
      "   0.93548387]\n",
      " [ 0.05882353  0.05405405  0.2        ...,  0.93548387  1.          1.        ]\n",
      " [ 0.05882353  0.05405405  0.2        ...,  0.93548387  1.          1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97c88e4a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 3.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 5369.56it/s]\n",
      "calculating kernels:  95%|█████████▍| 15929/16836.0 [00:00<00:00, 39718.66it/s]\n",
      " --- kernel matrix of path kernel up to 3 of size 183 built in 0.4883401393890381 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 39339.69it/s]\n",
      "[[ 1.          0.42857143  0.14285714 ...,  0.08333333  0.07142857\n",
      "   0.07692308]\n",
      " [ 0.42857143  1.          0.11111111 ...,  0.07142857  0.0625      0.06666667]\n",
      " [ 0.14285714  0.11111111  1.         ...,  0.44444444  0.36363636  0.4       ]\n",
      " ..., \n",
      " [ 0.08333333  0.07142857  0.44444444 ...,  1.          0.81818182\n",
      "   0.72727273]\n",
      " [ 0.07142857  0.0625      0.36363636 ...,  0.81818182  1.          0.90909091]\n",
      " [ 0.07692308  0.06666667  0.4        ...,  0.72727273  0.90909091  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97a789da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 3.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 5456.05it/s]\n",
      "calculating kernels:  95%|█████████▍| 15930/16836.0 [00:00<00:00, 26496.97it/s]\n",
      " --- kernel matrix of path kernel up to 3 of size 183 built in 0.6698620319366455 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 26501.42it/s]\n",
      "[[ 1.          0.45454545  0.2        ...,  0.05        0.05        0.04761905]\n",
      " [ 0.45454545  1.          0.14285714 ...,  0.04545455  0.04545455\n",
      "   0.04347826]\n",
      " [ 0.2         0.14285714  1.         ...,  0.16666667  0.16666667\n",
      "   0.15789474]\n",
      " ..., \n",
      " [ 0.05        0.04545455  0.16666667 ...,  1.          0.8         0.80487805]\n",
      " [ 0.05        0.04545455  0.16666667 ...,  0.8         1.          0.85      ]\n",
      " [ 0.04761905  0.04347826  0.15789474 ...,  0.80487805  0.85        1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978e45198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 4.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 4125.72it/s]\n",
      "calculating kernels:  87%|████████▋ | 14706/16836.0 [00:00<00:00, 28797.87it/s]\n",
      " --- kernel matrix of path kernel up to 4 of size 183 built in 0.6387767791748047 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 28389.45it/s]\n",
      "[[ 1.          0.42857143  0.14285714 ...,  0.07142857  0.05882353  0.0625    ]\n",
      " [ 0.42857143  1.          0.11111111 ...,  0.0625      0.05263158\n",
      "   0.05555556]\n",
      " [ 0.14285714  0.11111111  1.         ...,  0.36363636  0.28571429\n",
      "   0.30769231]\n",
      " ..., \n",
      " [ 0.07142857  0.0625      0.36363636 ...,  1.          0.66666667  0.6       ]\n",
      " [ 0.05882353  0.05263158  0.28571429 ...,  0.66666667  1.          0.6875    ]\n",
      " [ 0.0625      0.05555556  0.30769231 ...,  0.6         0.6875      1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978de1ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 4.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 4145.04it/s]\n",
      "calculating kernels:  97%|█████████▋| 16286/16836.0 [00:00<00:00, 23081.22it/s]\n",
      " --- kernel matrix of path kernel up to 4 of size 183 built in 0.771198034286499 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 23200.50it/s]\n",
      "[[ 1.          0.45454545  0.2        ...,  0.04444444  0.04444444\n",
      "   0.04081633]\n",
      " [ 0.45454545  1.          0.14285714 ...,  0.04081633  0.04081633\n",
      "   0.03773585]\n",
      " [ 0.2         0.14285714  1.         ...,  0.14634146  0.14634146\n",
      "   0.13333333]\n",
      " ..., \n",
      " [ 0.04444444  0.04081633  0.14634146 ...,  1.          0.67346939\n",
      "   0.65384615]\n",
      " [ 0.04444444  0.04081633  0.14634146 ...,  0.67346939  1.          0.72      ]\n",
      " [ 0.04081633  0.03773585  0.13333333 ...,  0.65384615  0.72        1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978d2a940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 5.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 2702.52it/s]\n",
      "calculating kernels: 100%|█████████▉| 16773/16836.0 [00:00<00:00, 20522.83it/s]\n",
      " --- kernel matrix of path kernel up to 5 of size 183 built in 0.7915527820587158 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 23292.51it/s]\n",
      "[[ 1.          0.42857143  0.14285714 ...,  0.0625      0.05263158\n",
      "   0.05263158]\n",
      " [ 0.42857143  1.          0.11111111 ...,  0.05555556  0.04761905\n",
      "   0.04761905]\n",
      " [ 0.14285714  0.11111111  1.         ...,  0.30769231  0.25        0.25      ]\n",
      " ..., \n",
      " [ 0.0625      0.05555556  0.30769231 ...,  1.          0.52631579  0.45      ]\n",
      " [ 0.05263158  0.04761905  0.25       ...,  0.52631579  1.          0.6       ]\n",
      " [ 0.05263158  0.04761905  0.25       ...,  0.45        0.6         1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978d0ef60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 5.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 3339.94it/s]\n",
      "calculating kernels:  91%|█████████ | 15263/16836.0 [00:00<00:00, 21436.26it/s]\n",
      " --- kernel matrix of path kernel up to 5 of size 183 built in 0.8369607925415039 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 21553.88it/s]\n",
      "[[ 1.          0.45454545  0.2        ...,  0.04        0.04081633\n",
      "   0.03636364]\n",
      " [ 0.45454545  1.          0.14285714 ...,  0.03703704  0.03773585\n",
      "   0.03389831]\n",
      " [ 0.2         0.14285714  1.         ...,  0.13043478  0.13333333\n",
      "   0.11764706]\n",
      " ..., \n",
      " [ 0.04        0.03703704  0.13043478 ...,  1.          0.56896552\n",
      "   0.53968254]\n",
      " [ 0.04081633  0.03773585  0.13333333 ...,  0.56896552  1.          0.62711864]\n",
      " [ 0.03636364  0.03389831  0.11764706 ...,  0.53968254  0.62711864  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978cb0668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 6.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 3268.25it/s]\n",
      "calculating kernels:  92%|█████████▏| 15541/16836.0 [00:00<00:00, 19632.15it/s]\n",
      " --- kernel matrix of path kernel up to 6 of size 183 built in 0.8672797679901123 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 20782.09it/s]\n",
      "[[ 1.          0.42857143  0.14285714 ...,  0.05882353  0.04761905\n",
      "   0.04545455]\n",
      " [ 0.42857143  1.          0.11111111 ...,  0.05263158  0.04347826\n",
      "   0.04166667]\n",
      " [ 0.14285714  0.11111111  1.         ...,  0.28571429  0.22222222\n",
      "   0.21052632]\n",
      " ..., \n",
      " [ 0.05882353  0.05263158  0.28571429 ...,  1.          0.45454545  0.375     ]\n",
      " [ 0.04761905  0.04347826  0.22222222 ...,  0.45454545  1.          0.48      ]\n",
      " [ 0.04545455  0.04166667  0.21052632 ...,  0.375       0.48        1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978c2fbe0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 6.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 3287.07it/s]\n",
      "calculating kernels:  90%|█████████ | 15155/16836.0 [00:00<00:00, 20839.57it/s]\n",
      " --- kernel matrix of path kernel up to 6 of size 183 built in 0.8515665531158447 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 21179.96it/s]\n",
      "[[ 1.          0.45454545  0.2        ...,  0.03703704  0.03773585\n",
      "   0.03333333]\n",
      " [ 0.45454545  1.          0.14285714 ...,  0.03448276  0.03508772  0.03125   ]\n",
      " [ 0.2         0.14285714  1.         ...,  0.12        0.12244898\n",
      "   0.10714286]\n",
      " ..., \n",
      " [ 0.03703704  0.03448276  0.12       ...,  1.          0.5         0.47222222]\n",
      " [ 0.03773585  0.03508772  0.12244898 ...,  0.5         1.          0.54411765]\n",
      " [ 0.03333333  0.03125     0.10714286 ...,  0.47222222  0.54411765  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978bb22e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 7.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 2719.39it/s]\n",
      "calculating kernels:  97%|█████████▋| 16349/16836.0 [00:00<00:00, 16223.47it/s]\n",
      " --- kernel matrix of path kernel up to 7 of size 183 built in 0.9544930458068848 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 19001.09it/s]\n",
      "[[ 1.          0.42857143  0.14285714 ...,  0.05555556  0.04347826  0.04      ]\n",
      " [ 0.42857143  1.          0.11111111 ...,  0.05        0.04        0.03703704]\n",
      " [ 0.14285714  0.11111111  1.         ...,  0.26666667  0.2         0.18181818]\n",
      " ..., \n",
      " [ 0.05555556  0.05        0.26666667 ...,  1.          0.4         0.32142857]\n",
      " [ 0.04347826  0.04        0.2        ...,  0.4         1.          0.4       ]\n",
      " [ 0.04        0.03703704  0.18181818 ...,  0.32142857  0.4         1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97c828e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 7.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 3022.28it/s]\n",
      "calculating kernels:  96%|█████████▌| 16160/16836.0 [00:00<00:00, 18882.90it/s]\n",
      " --- kernel matrix of path kernel up to 7 of size 183 built in 0.9133179187774658 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 19765.86it/s]\n",
      "[[ 1.          0.45454545  0.2        ...,  0.03448276  0.03508772  0.03125   ]\n",
      " [ 0.45454545  1.          0.14285714 ...,  0.03225806  0.03278689\n",
      "   0.02941176]\n",
      " [ 0.2         0.14285714  1.         ...,  0.11111111  0.11320755  0.1       ]\n",
      " ..., \n",
      " [ 0.03448276  0.03225806  0.11111111 ...,  1.          0.44594595  0.425     ]\n",
      " [ 0.03508772  0.03278689  0.11320755 ...,  0.44594595  1.          0.48684211]\n",
      " [ 0.03125     0.02941176  0.1        ...,  0.425       0.48684211  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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YSkFaRDGs14sAlWZBEcVQdtBcyAdvYSL0mrYIEFxsrTVLoDRZll42QbiQkox6zkSx1v220GYAye2mYl95frGlxtPvCC3unTefq6binNp2lRazxnGZ+2NkuYV4TrgCzgy5AnzfOimvGAIooblbUfv8FN7iXGlW9Jsb737jj/d+k9uRpSmxyvwoTY92p9fMMNNB6fIhLsyPflPkwJ+6447+dIXRrw0xCS4TxVgjUACbOgffMLPE5j6N1dt3f2FhzXlm3z7ByKwhWGWmFCaBtYODZwCrnWkiiNYDs2RpuhQmS98gsYnTxNpbRtFRLrSLAVUM/tXmQj4w7RqiVN5+lK41S4rzAOMPngMRqlnGyq3bqR457vqy6jxDr7fYvvq682NV/j+1b5hBxwbvxOygH8T2CbtCAFoDuSZWRp2uWEAI2Wa69/Mjnghov+o6rv/DE9go5qmPXs/Ewx7+Cmz/egvdjHj3G3+cO+79C/be9ctMzzSJv7SLZBS8DnSnLFOPWcKljGhMEywl6F8f4YBe5vjvuhBhdKzBxE3zTNVaHHloD2NHIBkR0hroCFZujLn+s0WPbM9Gz//8Gz69zJFfP0Q6avCa7iFJJlOCCx5Zpef0rJ4Tmgfdg7LjK7BwUDN6ytCZdr+Jx2D0uCUeE7Y8OBjmXN1miSEP/a6/PA8inPnFlw9sT0YgXLAYX0hGoHHC0Nyt8NqQ1sBrQ7hoqSxkRGOuT17X0tyt0V1nRmS+sO0bPc+nFH0oZur888iTF5h/762kFcHPma3GE7yuIR5RqBSq8ynRmC59Do2jLUzVI274TpszEI9pxr99sdfGagFRbMuFxcijZ1l6z+2oxGK1EC4kxA0P4wnGF4Jm5vrRykjrGjGgYkM41yFthE4bspZowidYTNHHnRlae+IsZBmdN78cr5067SmXB5mvSnaq1YJKLPrJ04N9ewHm+qaT8gVgesdSaS70Y+9dv8xz7/h/+PxKg9+87+cAWLmtS+2JCuGSG6Hh0qpZ+eEx9vzQCXjVImfuuI7DN45R27fMEg3AEiwL7R2GYNbHbxZ+jZ4polsFK1NoHIXl/Yp01I3kyqxPZQ7CZcOF11uqZzTNgxleU+E3hYWDMHrKDdDivXrBsrJbCJb7zl1gnSiGdIb4MvJjR2czmjs1ae4PrcxbklHBeO5zc7d7AIv9aQ3CRWht7Zkx0YSiOmeIRwTdhepc1mtzmBnVp6anFaGyZIhGc2eiB14Xxo5HLB4IaW11j9joqZjmbkfL7k4FWAXViwnRhE8auojD5XgQxAlo7WZtwG9mZBVFFgidad9taxvoOGEQLKSoTkparxMsJ3RmAipnM4LzK3R3NZzvIVSYaZ/wsLtWa0ypZaQjPpJZrEDS8NBdQ8G0tkrwWrHTQjPjGKgiQ03Ky8FZQpsC4kXD9EyTz680eN/IMr8JxGO9gRSN6QENokD/MXEDapNtdk8scoQGWSOFZR+vKaSjlmTUPWjFbOe+5IKinZDU1+YKpCOgMrc9GXX7nABRVM8LSc0N5PK9LngdSOqQ1YOBc60nIPQwwlXXXWNauXIVNaswYOfrji37l1UgTQVbDXp9WkdAyMrwKExaUaSVQT9Kln83Ye+Ry3xFmnMwbBi4uGO2yrFZMCkL56vOORvB2oGVVhRex2BChck0YixZIGRhzlPw9aD/o0DorlXSbPj+ITCBdjkbWrswqgii1pqUl4d83zIprwhe23LmBzxHn84y7J9PseUDJ+n+1g68pY5zNHYj4i/t4jfv+zl+E3jywx/jnq7hI7/1EbyOZfSke1iDpQTdipFOjChh+juWi0dcPsb0XEbnTIOLNJiIATyyikUlAELlnFP5S5ubvtlbCeNHU0bOKnKlGx2lOQ8ipbKQJ/j0JfMU/IpazvCtXYS0KujIqcbe/KCJMcCC7IMMi4bkA3dkNqIy3xuMOjakVe1ClbEhGzKQJLMDPIgsUGQVhUosYpx5pZbbA+0M1SAyw8ThDjrKqAX5ICxyRFZi/JWg1MRUnBEuaC68qsaWB3rXPdLJMMHzMyltmjqfSu5YrJ5pMcDyzNtWceaITEmGdBNGUwOZJZiHhZsbTH3rAuEFwFq8Tug4H51c0GUZZIbwQssRyfJwabDgu+iGk/u5M9OWbF+Ui2IU2s1GYYHYXhNDcF1c271bhWTUvcdjlnu6hjdVVN8+H7+ZkIz6A6p7UpcylOh1VPk5vGRJa72HK61JOaMPmBj5eSRKSGuKpNrHC1Aq1zb0wPYCYWLXzPBJLiCSat8sXZxvHar1MEhcaBCarNq7D1YJaVWhMotVggnX9ksldlARsk4T0RrEuDwUm8+qRZSodNRBOdNLu4vJZ2dTCoi8f6lHFqpSE7PSd0ww2N8s1BD4w4ldedsi4pyYuRpvAq9U90sBkWsXViuUCJh8pje2lzjne06TsNYJJmPz7E0c6UmbXNOwYNy1m8BznoJCQCjlmJaeh2jltIhCkF4BLFe3GMxGcE0ICOsLO76Rljd48QbgT/Yw9o9nsf9jzYUnxanmK7c5af+R3/oIAA//i4+x968+yPTH3KxUaA/Fg+11YCXPwh495WbueNRy43td4tVDDxzE+m7/jrvyUEh/hmDUs8V1ZIjrmjRXx3Vi8bqOD5CMeHhtW+7z2pbTP5bhX/RJZpLyvXYkYGWPRqUw89W+0EvehrshqwTEMA0iV4V1bEhruhREYZxhFSSBIowzkupaDeLSqyQ3ixyCJVBJblplOfdieWWgHWBtRMIYp3nE7h3I8yUMKk7JpsOS0u2txCQNn233LHH+9WNYBeGS01jSqlB9qO2YqeswKUlT978UkQiZcYM31KWA6E9yc3TrFBPW8JYjstGQqYfm6exu0JnxENO73olHc22pCHGK5MIjp8YHCtM/VJSgUoPtdnPeSY9rcaXYDHNuABb3YCEKROGvCMaznHh4JwfVQkn+6U5Zak84Hr3XcQ/D3r/6IM/92Cd553/82fJ8Usx6IkRjQuOYOzZqCLoDjYvweHTItX1Dl9uvd6Urumo8P4H0am31zQpJXeFFlsqiyb9L6ZwbOZORVoXKoiHNtYmp+3y6U0LjaO99eb8lmUgJz/nrzzirt69nF4uU1O1gKXca1jRe1+K1UtKapnY+IasodNeU7yrzBwZhe4smGaVklKa1VW0WGkR/CFMpxFrC+QgTasI592OrHW3bVHzCuajUCEzVI5zrIlHG+JEYREjqCuNJmevUa+95Bo24gStJht9OSo0rq/o5yzLDhB7KWnQrwYQeXiuBJEUlltHjXcRCPOYPMErL0ycuV0WiOA/B+khqetEKEfe8brS/68AC5hp3Ul4bTMpgq33DxPs4/fMHmXwqKfMv1EqbJ/+XrWXIU6W9UOboyS7JqE/lXAurhS/85R/3hUCnsZ4Lf+78Ws8u7Hc+Vs61yOqBS8JJDdlIwHM/XiHct0wtTGhHPtGxBvXTgt+yWA1Tj7UHOz4k07Ef3tzKGjPChB56qYMZCTn2U401YVO97Lnw4Dn3ADYPZmy9V/C6PXPF61qsgriumHp4FUeijwq8XuhtNddA0gwzWnWDAMAYzrzd1TxJRkDHkAWUXBOVuDDqyJmMxmM5U7XfPwE9LazQOgpToaCN9wkdqxWXXreVLBCsgpGzLjQKLmwqxjJyJkZSi4pSTNUjODE/eJ6i7YJ7UWwvnJvGOO5Mv/DN60E0b3M1NbyOceHQZ8/1ktNEeuzX/ntsLfG+rWShQieGzkxAsJjy1S/98w0zHnffMmb/h8+9fiOH8k9v/uL3MZPyMugPeRYhzOLdb/aiFatDoN0bXPiz/5h+exWcOWJ99yDqlZgDr7rAyb+5jqgDu999glP7wD/s0r2XDsCW+9aGJVeTiFZjdYiySOBSnWRo2HTsmAuZNnN/y+izGq+bJ3t1e20sHNRYDdP3DgmVPp+ASFaRkbR2/TSmFHajsxkLBzWVeUtni1C9YIkm3OBSqQujtrZrxh5cJ1S7HsO0z2TDWte2UqQVYfxYRHfKL0Oj4MKmjecSVJShWzEm9OhOBQTPFM7jPsem1nnsMBsUEHn2qU2SAQEhfb+tXIxIR3xMoFzui+0JCLGrk9ec8DOBwgSKpOHhNzOChY3l1pTXxrWvQVzzAqIfq0OZ/Q7J1SHQAkXoEgY1CN2KexoEkI0EaJwD1PjuIdo9scjZ+ljx66FhyctqEJ14HQ0ixVT9oWHT1dvS+vBQptcBq1lz/o0IiHKmLX6SZthq4OjTAMZsKHyqO33OzI1qEP397NMggDWh0QJZRaMyi6ReL0waBoPn6b8uo4doENoJ8n4NIvDL35pQY3xHgHI5GoMahAzRIFbDBFc+nDbXxdgIrIEkZuaRiFNvCzjwR0tlaNP++c4y5FnwG4pQZn84M/7SzEAI9BX/+sN4HVuGLmFV+DJK8KIEqzViDCpKOP+ZPUy3LF7HcPGMC42+/Bdcnd3Dn7xpeFhytYe/D5Kkbrbu35Ynh6mljPGj9TVhU6+V5SHTAoaz71qbzbnzzz2s6gtHlg1sQEAMqdqkltu9wWxsGT7VsWH0tMbrZGXItKi4ZZW48OTq9ov3IRpEmZnal0wlSrlwaSsBT5UhU3Ban+6mzL55lKknNYsHfLY80CpDk4O5GK7tks5dnL84Jk4Gi+jk11ubbSNxitf0nJDsdgf/zzQbrFORX1t4Zhnra6yvkShb818/H6wVEvPiDUEReSfwH3DBt/9krf23q/bvAf4AGM+P+Y28LMO6uDYERI7OjO8qQSlV/rH9EQ396yPlsf38BEScz+EG99C84l9/uIxuzPSp4NIfnSge1L7Q2souGH9WsNp9Bjj2O64s3N6PPEPrb+uDHe6fjYYNxCEPjBgDaeYeWg1xXcrIR2UBdHew+Ex13rDnM2vV0BM/lRGeDhhbbWIUM/iqxKR+rGH8KUGM16uyZd3g7056hEsZnSmP6jylX0ClFuMJ7W2K2oP5fVyTrCVDk7VKrkBfSTirFcmYj+4kZBWPZLTPxNBC5XzKzq82Ue2YynmP868fY/vTrl3bXzCm4JH0168UVR5jV/EUin/PhB46yZi7bRQvskweOz2Q0yFFhmj/PbQWWw8xvsYGCi2JY1ReASy8aESpvqUmfhhX+O4BEfkLa21/Jfl/AXzWWvvxfBmKO4HrL3fea0RAuAiG8fJoRkFGUYMRjQN6ufcL1TdTiayJcBTRjXf99k/3NdMXnejflg/0xjGIxoQscJ8BdOQejMe/cIi9Mssa9KuyG75cKb34q6MiaV0zcqb3oHWmFNULawf51H0B869Ohkc4CrUa1omAZKsOXzXrA2nVRUDSmqZ+PiELlMs+BdK6xmuldCf7K4avF2lRaz/3v+f/YzgfYSo+KMqICORRkaqHtxQ5DbCIglwOa9pZa8oBpRCTPOoxfixCkmFhDcXAPVOCGJClNsr3sJ7Chj72ik2MF7Wi1EaWmrBAI/88BlymsKfDNSEgstGQ9MY9rsBslnHqgy+jcTzDbxn2fm4O6cZsb3c4/rvT2IfHiMcs09+xJW05GhN2fi0piVKVcy1m7o1512+7Qrh7//KD6GWPyv5lbt82yz2PHWT6Po+0JnSnIVyAzhbLlocMJlDoGIKmIakLwbKbdfbcsULz99yfee5h5/VOxjNec8tRluMKzzyxize+6jDfvvNmOvtdhuO2L/os7VPUz1guva1L494qzb2W8adh/rUpO+52168S9/AGTUtadeQir+0e1HDZorIi76HnsJx5YInpB4Un/9ddSC1DXXQ2ebAodPbFNB4LSOpQnbNcui2jdsojq1p0R6idc2XyssANzjQUlm6AYEFIGq6Yzc6vJhhf8FupG5ja9SOtOJam8YXtX5nn1C8dJAtdrR8Av2XpbBXqsxZJwW9b4obQ3ubaHTsWk4WOudna6nIp/BXLxOGO40xkIMaWvgarxLEWPeUq0CcZldkVTv/STagEx9toWbLQlcwzAeiu03BUapEM4jHBa8Pk084JGl5ygi6a8PDbhsp513l/vo10YuZ+8mXo2FK5lJGMOAeqGEqirMlDnFMPzjnh4OuBknwbhXNSvmg+iI0sNfGvgC+KyH8H1IG3P99JrwkBsRrRhC3LxK3Gnh86AcDFI3tIRoSVXbbkOQwQcOztAAAgAElEQVTD3r/8IM+955P83PG3cM/TB2AbbNtzicWzW0nqlup5obPFEm9NAUXtginZgH5r8LxzX98Oty/z2h98CoBvHtvLE3ccwoTwxh95knsfOoTdH1Edjeg0Q5b2uRMtH4D6w1WW39jBP1qltRNqJ3wq84OFYKyA18oGaNBeJ0NFTigE0VoVdvI7mtZOTbwnxrY1kaeonAho3h7hzwa0drrjOocibFsjtQyxIcmopr3NNVQ9L4SXIK1CuCBICsFSnsAkAuIEgFhLEGUD0aBo3BIuCvGYRXedwB0/bLEeLB6CkdOK9lbL1BOG+ZcJY8egO6lpb1GMPZeR1IT2VoXXjHoFfaxFx710c8DlnmjlzDOc4LMC7e2C34K4IdQuWOIRoXLJ4rcydDdjZWfA1JMJnSkPFRuqF2OWrwsRQy60FLUjPaq1ZK6OqE4s7RnH1hTjJiMd4QSRB6OnMqQTIZHCFrkYV+iDgCsiSk2LyIN93z+RV4a/EnwA+LS19t+LyBuAPxSRW6wdVtHX4dqOsaxCdKzx/Aetgl72+Lnjb+GPrv8KwazP/Seu4yd3PwKA3d5TZYPzzy8rvQ50z9a55/B+AOSsM2kqea6F11K86dBROs0Q/3xAZ09CuADpdV10B0zLw2tDNJ2R1l8c/onugu4IwckAqWXUT/f+0vCSEO9Zq44HS7YUDgDxeE8DgMFw6vOhdk6ons+JShUnLABqF5wwa2/NKetxfkygytR3HRniUSELV5/1+aFj62b5i5bOjFC9aNGRpTZn0LHLg9F95kJnOncEtwYdvsX21efujg9GVMJFQxa498qlXp7Nd4OCar3BtTnnrLWv7nutFg7Pu9QE8MvAZwGstd8EKsDakul9uDY0CKEXEcBVn/ZbBqtlwGE5cdM8Z+64jrjhEq+8jmL0lCVqOIKNK7iSRyvy81X2L3PP0wc4dPdNHP7lj/OOp36Mj93/VrY9Y0hOV8gqEJyE5j4XBk3qimjMkYBaWzUTzXxWUNA86D4r33DfPTfxyjc8w4OPHKDxg3Pcd89NZOMZ3/mvN6Nu7bDvtSdZ+d1dzL4rZutfhyzth/HHfOJRmHlAEY8KnRkfr9N70JK6Gzh+y5BWXWZiWlXUVjnI0oqmci4DBSu73D1LRi2VZ0OaN8fUnw3Kz+P3h7R3WvSsR2dPgiz4pDVhxz0J0ZgmGhPq5zPmbtHUz7rsx6QmRBNh+d/0QrluUxHFqK7EpDWIJoWg6QRPd8rdx7Nv0ATLwtgxQzQmtLYqgqYrEDz1ZMzKdp/OtEf1kqWyYEkbFawnrgr2AEdDwIAOvF4SVpSRhs6E0AlMPJuysl0DQndaGJk1JDUPq31UaonGNI0T7n4tHhpxtSusJZxXjJ5OMA1XsUviFFIDAiNnEuKGxopLI++Oa2oXM+IRhdd1HAhbq/RMDBH3+yvEi1gPYiNLTZwE3gZ8WkRuwgmIVYuFDOLaEBDOGCsfjJXdUJ1zBWelj7wzVWu5eg6TbTpnGiQjjvKqO47fUGQiShF2VHD7tlnYBvdXr+MdT/0Yd930V7whfh8ru7Y6SrEF44PsbSHfqjo1e8mdJyyqPINL1Akz3nToKN8+swv2Jjw7P4MNDRfmG+y89RwAp5MtvHHfcwCc36pRy87bH08YTOgcoCp1NShq33Ql5wt/QyEYslDhr+S1M/Prgp4Pwm+njrxjBBNaomk3W3d2GtSyR3tHhooUatkjHoNkZ0zc1khoMJlgfEV72iMec8KlPaMwoaW91ZkKKoHJp4uZ32BFXJ/aqeMq5Gq3WOvuXQaZ72Zj60N3RqjPOg5HPCp0pp0AyXwwviJuaEye/JrUHJekPmtRXTcp6G7a80EYynCp6mZIkmFF6E4JKnHRKyuOw9Ctu/vVnXA+B69raW9RBMsund1veQQrBuOB5P97NOERzueaZB4K7Y5rfN89W1agO6ExnpSFb7oVQcdQ7xdkL4CRbC0k5sUREOstNSEi/wfwoLX2L4B/AnxSRP4n3Kj7Rfs8VOrvKRPjyEN7ynoOBeJRi7+y/jXe89hBji5N8cGXf4NnTmzjDd95H9+87fOkNYgPdPBa4LUEnnUhTL/l7FgoSEs9+OcD7n3oEJ1myPRoi8WzDdSKJjjiZqBTZybZdcMFTjYnuOfwfto7LeGcorXLUD+tSGuWypyQVsFr57Tpdk+DSPPEKq9tBta6KFA4KPsJReElIZzT6JbzL4RzCq+tMDMx4Zwa8D0U77oLna1CVsnrP1SE8JIrFhNeEmpne9edVnSZiDWMyKQjqF6wZBX30l1n9oSLlmjc0tzjTI9gye1PRhTdSSELhWDFkjR6bZWZoeHwecsEuiQjBcuWYNmiIujMuAzZYMlSvWgImpZgxRA03f3SsXOUAoSLCUldkdQUWSh0plbd58Av1zDJfFehKg0FHVuyoDBtIGi9WCaG2tBrQ+ez9k5r7Q3W2v3W2o/m2/63XDhgrX3SWvsma+1t1trbrbVffL5zXhMaRLG4io0TyDLqs4JKXWn6G/9DBEmKTRLGjsASDY7k9RzCSy4r8/HoENMP92VzRknJc5i+z2Px7FY+9a13sO0Zw8qurdz0LbeC1w88+pOc21rBeq79+vEi2QAwUD8OKurlDmx5wNAdV2TVkOZD29myZPEii9dOWZ7bzlTH0qxuB2CqY3nVP3qEv/3y7YS7V+h2RrFTMfZCJXf6CWOPz6+6EflgWV1RqjvoRwjI1X5g6skq0ZjOF//xCZopaVVhPPc5PlGQrlT5vvQTTbK099BVHqij8rVzvS54LUvt2WIRoT5qch/fQHKW5MQzKf5yRv1crx6EjgzBQkywUil/E87HVBYDque7nH9tHZTBb7nIRlqB4MRcr2BMPwqeQ5qvZ5pzDSaerTrNptKXzZlZ59AVp4VIlKDSEbxmQvWiR3ixTWfnCO1tAhbqZ62rmzGbX2teUarecP9REbXIqs7BWYSzCy2Hi5cQUSidZ31eYUUp2GRSvqhwtRysqwSFVxKMwFVnKujTXtRzRKU1Ialb7PYuyelKqTn8wKM/yTdu/f848NiHADC1DFPLK0oJa1bFVnFKWhGyqtMAoimLjvIBZIXWLkv9tLD4ipjKiYDKJWG2PU5Wsbx1z1G+fPI2tkwvs1gNyQIwgcWE/qpG8vfVY2TYzcgFYBa6mTANhXjcqb5pKCwdgOnHFAuHhNo5ob3NUjvntIb06AhyXY+BGY+5RKyi0pTRgq30UbiLoi193621SLtLFihUaOlMauKGUD/niiaYUNOZUqUWNt3M6ExqdNTzSBofupOOMGbDPLvVs4MLCxfrlRY+qpzXkdQ9R9jyhdYWj5FzqfNX5INaMoUymmREo6OM9lYfHVUwQe+ZaV4nSCpMBe5/KCpKWU8RTfqubQGd+4nSqmOUWgHxFJ7nuTyPwk+2wWpU5bXxooY5XxJcGwJCOfXS08r9v/lyeLVZF0ISY0C5uovBssCyT1ZxD9JDDxzE3tBF3ZVhfZ1XFNJuNhIXdqueFzhfdQPAQu2RKue2Vjjw2Ic48rMf54av/gIaSpLMAOMyydmFWlyRVwOVOUtlzjnjognBeIqxw9Cdgulv+KR5lfoTf7UXb8Jy72dfgTmQ0vqbLeg3LJE92+ANr3+a+U9tW3MfgDUCYhgjE+WuLx5xqnB1wVBdcH0ygbDlYReu3fKwJQ2FkbPu3YsswaJCDvcW9bn0tg7Rio9qKyQTugdjuLMvzLiaNl0wNJUiyGuBjp7Kw6KeIh5VWC2Mnk7LDNG0rhk9FeO1U7bdp0CgtUWRjFq8lrjBOYSeLSYfQMX+rPd/GAvBckKw6IRlPOaXXA2qnlvSr2NIqx7V+Qy9EmO2BMw87PoajXsuea6Y+bMMmxmsJ4TzcRnxMDVXUcpfdpMHytWhsHl5PFHKCZYrrChFbmJcy7g2BITBhY1ytbVYDk93cTToYqn5CNo7DF5T8jJxYH3L7defop32lqEXY9zvREoSFLhohfEdoaYwK2746i/wzJv/gH967hU8luWLmNgeRbms7pQ5IlNrp5TJXCgIFi1By7KyXaESSlsXnJNOxUJah8pZzzntTo7yQ299lLu/dQs32lVrbq6noQ7zI+Xqrt82JCOaOI+AWOXi9HG9qHblNAPjSfluNWR9yVjecxVUKqRVi98SvLNhr81hFZsLUpC1pDU9cJ+sElROdkprqhzgfjMjGXUMzLTiHJPhkkGlQjzOYHv9URvV12aRjCXOxLFaSGreQMGYpOblz06GilKyoILXzUhGPMRa/JXMVeCyrvyfZFL+14W/zmhBWcfgBKc5aE/KilJWiZtMrKGsOTaE0r4RbNakfBGxcmNMMOuTjjo9csDEGAnQKzHZSNDzG0BJggrOezT3uWhFmjskTS1DA//03Cv4d9se5oer+UK0+XL3/VDdlO6ko3QXDkbrWVTkVPsorzUTXoJWXsGqMi+09idUTvtEU270y2TM147vx9YyTGXV7V/HB6GGCYjcxIgarppUWsl/qpwjLRp3Id/KJfdZd52g0F1nUoQLrogv4AhOWzOwggkcKYhc7R6W0l4SmjoRcV4wpxikRjuHnpn2SWqKypILDVoRkroQzucmwojTDozvIjvW9y5bk1IgL/Xm1PnOpGNBWiUEyxnJiC5rR+jE+Qk8T0hGdGkuZjWfeMxzyZ7WmazBki2vVTLngzC+QqUZWdWjsACSmleWvUeBpIqgMDFe6MI5ls11MTYC1YnwnniOpXfcRP10l51fcvTqsXs6PPvf72PmYcduu/6z4Dc7JZ06qwfsuGuFrhrnuX9Y4cCrLqCB85/Zw8oul0+x5aGikKBTueVbVcBQP76Sq46Gx7Kb+eHqbXzps5/mwB9/CN2F17ztKW5rnOIPf/8dpFWwHuz4esT0471+F2skrC4CWxwTzHdclSN6TkYTaryljKyecuYtY6xcn2FHUt506Cj33XMTo8eFl/1sjz7/7TtvZuSUdeZRHy69MkUixcE/GcwwLZiPRR1GsZbxZ1ff70GykKSGtFFBFVWTMsvca6ZY3g/BkrByXcbICc3Kyx3zMzwWEu2LCJ+b5vr/mhesKYRYkVHZx4qsF9utRboJk+d739EKqzVn3rWdxomU7rhm6UCvb35LmHgmw2tleG2nCSwc8tn51xfcAbljs1p8hp45Yi3+OXEDOM2QKGb87GLZ3/GqK1p76Y07qVxKyaqK7rhm5mtnB0wduyrd2ypBMsPcD+/D6zqN129bKhdjR3DeICxCaq7ttTmvCQFxOYQLG5Ow4b5lTv7NdS5Po2UZf9aVmzOBo0+DIyKl1bUU6gIH/tj5JG6572e557GD3MNBRnE+Bx1Bd8rNNEVo0mp3TsdVoNxXhCiD+Q6molHdjHg8IFjsCYqs5jH+I2cZx+V23H/eEa22vm+Wex86ROW8e3A6+yOqFwN01/k7vI4LJW77iiapCfHYYD2Ioqq130rLaMPq8GRg7JpFf01Fo1YMSSNEjOXi6zJ0S6MiqJ/SNG9IaDwSklahfSBGXwwYPW5JR53TsRCQpVMxdWZekVdROH69rFdA1obOwSedhKziSt+1twlTjxvihvv//JZl/mWasSNCmNe7nHgmwYyEDNTj6G87G6woZT3llvVTuZMz175s4EFm6UwrOtMBlUuGkdMxZqQyUNXaVNdWtbaZpXYxpTvp7m08oogaFfjaOg/oOrjWTYxrykPiMjklrxbtnGP+iu1jVQ6yJd3q2u64WpjgdRy/wOu4YrJex7rCKip3KI7lyV0N5WzJgsGpFGinht9y38/y+Ov/GHwLfh7Xj8CLXJk3HRnndc+FQ3FuHTkNxepeezavGYm4/S7bCFCgOxmnnpvh1HMzZLu6GA2vueUoS1EF1VVYz5V6O3TduVJtD5YsKu6ZETou7kfvlVY1VjnbPK1qxyhcdczqpe9sbkZYARVnqDijOuthPUtnX8zK3hQ8S1J3bdefDQgWhbBpSiemlZ76jXICx1Q9skqupufHlGaVKtomt+thab+7f4gThuRO4MqcLRmRVly6eX8Wbvm5/7r69tlif/E58N0rz+6tXDJULjlzJZr0B8/Rn6WrBs+djCiskK9SJlQWX0C698ap1lcF15QG4aS2HWBPDrIqB9mSLhbvGJPtKGD3u08AcPFMz8QImj2bduRM5pacbwImn/WKqkeZ5TVve4p7HjvI3i/8Cs+98z/xhu+8j6WJrWQVYWVU2PH1weQqr5UNmBj+Sl4KL38XawkWnNagO/mMbV3bWEv1tAe3L/PKHadhn0v+Co5Uef2PPFnmezzzxC4mMkeBNrmyoLtw6UZXcm782dUJX2tNjNVYY2JYi+6kiMXF9zNLdc7SPZigFnz09jZytE73YM/E6G5LWV7xGDnax0KEoSZGuT03MYrvRQKW1Zq4YRk7CtEEdKYVcb4IkfFh7Fgh7N09bG3xqJzI2+3nTgwxMRBB9ZkYZWq7tZCbGMYTqvNuKcKkJqiV7oCJoZLhJkZSnSCrQFc0XsfiN6+cB7EZxfg7QnSswal9DLAswbEhC5OitVUTLrs07vrxtee4rXGKezgIUDIub/3yh8uwZXfKH2A+JiO9SIG/4kyL1SZGYVoUpkY/0hFLerbOPc397N5xCbPiZq+TzQnedOgoJ5sTnH7GRWeKepAA3UnIarmDdJWJUcTuy4pPQypdXc7EMKEHeSl6ddFpCl1dpdIWCrGS1SxSywBvXROjFJyF+p+bGErrXui4z8QIFwXddVpSUawHIFwU0hBUIohRJHWXx/JdmRjgeB2+Lp3RWd/6IRs1McCZq0nVsUKHLVJ0WVxl7WAjuDYEhLHYOGH02AoXX91g210LJXty2/0Zp98ubpVta10NSmuRTuy4C3lp8vppwT/c4Gx9jJf/wpMc+50bHf12uTcQJppp+SAXkQ5JsnKW/cPffwejuBl6aWIrt375wzz6Tz7Gzx1/C0d+90bqpwbLq4WX6IvdQ5gTI4t3iVOqZ3OGZz5rS+bK26GFscMuhAaaJtuZiixe19C8sJ3DHceRGKsKb/iVh/jrwzfzo4ec8/KvD9/Mtj8PQGSgpJ5rII86XLZo7aqSc2mGv9AFY9AdV0Z+9FSF2gUXbk5PKrxuhnnOCTBXUcoxNf2iDF//ojr03Zdidi+Ks8R9hWPb+aDWmonDrtye9RSN4xbj52Fbz9V3OPEexdhTPmkFtnw7Qi+0SjN0tfYimSkFh82FgqSZ8z30mwyhW0B4ZDZGJwbjKVRqUEutXm6QCLrbq7bVf23jzwYYT5XnVMnVqyj1UuHa1m+uAOs5Hq8EadXRjL22812kVcpU8ZcCPT+J7X3PU63TqpBWnT+lXzgA/OihJ0v25EsFr2vQUe7LiezQFPDsRWxfRxadGHSUlcIBQEUWHWVUT2vq5zI6283QdTm/q7YTg8Su5P2VQuVEMElNqRldCTZ9EFeAZKzC1KPtAedQc6fHzrszjv50hRs+vewketsVH5WoNyNYTR4esxz+5E3s/cgzPP6FQ+y5o2/1qjzHAnC2aZw6x2jmeA7W6zkkV0bdeY/87o28nhu579/9Hu96+88Mdvj5alLGvZyQAjovwa7SDB3XSWqOvg2UeQz9YlvHll2f8XmM2wbOc9tvfoev3fEKpu8Z1GqKHI1i9hxmYpBlg2QkrWCl01v2zlpUMko64VKq3XKBlIV0Cifs8h7N2LdWFa3tLwU4rJhvMrguhltST5NVJvGXDKbqOUdlDuMr/GbCzq+2UJ2U/ac1R99X59B3uj1uRP+KX/n1Sf/5i5XAkoSyViUgOfPRiqBTw/F31vE6sOfJLv0LC0niDS17b3PzxQQK/QIEhAXSFymb86XCNbFwTqOxy77xul/EnjwDWcbCe2+ldj7B62T4s5ecudHtcuTXD9E46vwK40dT0ppCRy7zbvR4p5eLMd8qTY/m7ynmvr4dr5PXcwgz/PMBWx5wpd2jMUXQtHQnhenHXUmyYmn67pRfmhXeUoc7v/xZ9v/NL+GdcKSEeFvC6248xkoS8tTD1/FzP/R1PvfZN+O9xnEDRv+4weJBzehJw9xtwvjTsHQQJp9w78GSUD9jytnZ1WFQVObdw+h1LUv7NNPfcc5BEypU5Favrs62sCJU/i+XaPTEN/cBoBJIrouoPVkhqVsq88LKqzuo0xWyqmtn8lEhXO6VnMsCYeFmV64uurFDbSSi8hdjhMuu+IpVEI8qKgsZacVlQvptw8jxFU7+qFsWQAyoGFQGnde2qN1bL8vBdWaE9u0dKk9WmX40BXEZpBderfCXhXARRk/3TAydMx/B+VKSEUW4kDp2ZJwhieHEe8ZIxlyWrNe2tLcLWWjdNUxarGfRbXH+kkQIF4WJwxkLhzRTT6Rg85XSuqYs+ec3U7xmxIn3jFM9b3O/glsDJG5IuVyf1Y6tuutvV0jz/J0sdM/iV+7e+MI5YzdutT/wif9mQ2Pkzjf/35sL5xRIRgTOr92ejhqW9yvAMnLWLaQb1zVe9DxC7vZlVs469uSbDh3l3pVDeVamo8+2djqGZEFwKoq49DskAfb/zS9x9Id+n1vv/wAAB8cXeezcdmphwp5bznK0NUNnT8L1dZcItbhlgrRqaW9VmFpG83qF1xHa2yCeyph4alB19LoWFnrCAaB+Zq3aq6Letie+uY8tt59ny+3nmam2ePTx69kyvcyF7QF2NEVlAT966EnuaN9KfbpNa65Gd8bH+KpMtbbi7Px43KJmK3R0hakLeXGcxGkioTGoyK1QqVIXdgToXJf7VoJ8cZ/ZEJ5zeR7dGeesTEah9miVJC8K3p3QxKPCyIm8ZkQDguXUaT2ZRcVZuYqXVYLXzVwtiMwMFJX1m4rmvoxwXpOFLpW+vc1Sn3XhbMnyFHqBaNxxRBrH85waC60dinBRmHy8nV+rqzfhtVw+S+a7VPIsBJVSCoi0CiOnLKqT4CcuB0h3nEZ6pdj0QbyI8JpuFapiJSpw2ZqFDT8M5x7exit3nMaOpKiRhG+f2YUdScusTK9j0Z3h9RnWtH+iwq33f4BHX/unvHfvowBkj48xf2yCnfUl7nnsIKqeMt9yA6Sot5CFUJ3VJJMGL9fIR4/oAZ9D2caqbf2f+wVDgdo54cIjW3nF1CzfObyHvYfOcumRGWq7m+7+VCx3PHwrquYe3tsOnaSzxbH/4oZl5WBSrskZLArBklC9IKjIDLSn888qcr6JYl9t0g0uv5ISHK9QvXmR+mlhZY8lu7FFFkIyZqhctNgb3ajPAmhe72bo8JIjoRX2f+8963uZNQ7A+llL7azFX1LUzlrShsFv5hT3vEpVZcFpQPWzmUvtzgXb8vWK1g7Fyv5CCGZOOOQDvHbBUL1oaO0QjA+1c5akbgkXXIEcfwXCJZMvEOwqXKk4vXIfhL32fRDfUwLiu8GbDh0ta0ju3nEJcCnbLwT/8uLL+N9nnuCZc279Sq+t+J93fAGAN+x7jql6m5PnJ2lvs4QLQmdn5nwbk24kRhO2zJ14sfCVUwfYsWeeYyddWPQtu4+g533Mri716TYv3+0qnO+qLRIsKbozLkdFVVPiMfA6khd94YpqRHbOjJT1PKOtKcuXnJpQvSBUqzHdaYu3vZdabgIhmhRM6FT7ZMRpGFeKwjzSkdCdFMKLznFRmesNJlfkxX3vTgnWE7y80IvJ+VDdqeGDLxob3B4uCNGES/5Tz1N1f6P4e0+UEpHjQBOXh5haa18tIpPAZ3ALchwHfsZau7DeOcDdKNvn8DNewaiUAYdlMplSmXX/rI7cAjs6cclF1T62XH99y2Q845vH9iJnK7zyDc/w7LxjL25Zsj3Hm3KJVy63IrdNW67keXipvFjibQkHxxd5aGEPNzz1Kp75wf/M3qUPUptu81P3/Sr+WMS9Dx5iat8C7zj0FPd/9RXMvypl7AmPeBy8J+sY7dLPje98Dv0aQpLzJ/y2848UC/b6rcEHJAtd8hPKLVCcbkmQyONiNMrWbYuczya48/7b+eE3P8JX7rqd+IDh0cev542vOMwXj9yIUjD6HCTzPnHDd36LnJiku06dzqpFARhKZ2dBJ3cl5QUWBUmEeDJDLlTRXeewy6q5EDwxxuhZIVkZIR6H7GQdlWSMnDZgNMmIxW9Z0rqQ9S991+cXc/U2cLwFrVAqLzuncr9ACl4bEuUyVONxS+USZL6Q1LRjYDYUXsuZHK2tHpU5dy1pTTutIF/JSwGkhnjEVcquzjkBhuQmRuyEp+46AVWsqmXy9V2VXPlAvtZ5EC+GBvHWvHxV4UD5DeBua+1B4O78+/NDu8K0iOC1i/g1vUEvQnDBozLnqh4VlGuva12BEyU9+nUfzfY1txyl8kSV8JLw4CMHWLwwiuq4BWtUDMmoECxaarMuA7CkT+fU7n4B9bobj/Hc/CRHvroXdXikLKn/xl3HMafq/NShRwgWNO3I56sn9xM0LfXjHsGyJb6pzchJ5/ALli2tPRmdaefwK6nZCrrTkm9z7Xemi89CWu1tL+5Ncl1EtdElO1slO1tl6VtbePutT1I/rvnaHa8gWBbSROMtKb55343wXI3GMafe188YJp42VOcsOnKmhaM3u6rORXsIdMd1bn8ruuOqLI9nNYQXPcI5TWVeaBxRNG+KqZ8WJp4oqPKuunX9jOu73zaMH8voTAsLNztTIR7zQISs4oRfPOYRj3lkFUU85rk1VhUlbbq1093LrGpJGu5+pFXnT4nGXPHa1nYhqwjLB6C105brZjROpoyeSpl5xFC7aEhGfZJRn3QkKJmo7a1Cdd6gO9bV2hTw2kXpPOcoz+oBWd0nrXukoz5Z3R/yYK8Pi5AZtaHX1cJL0fJP4Nb/I3//Bxv6VWZdPr51i7r4zaSkJBevrOIKyQZLFr+Z4rcMXisjbJqyiOrAQrrWshxXMCEEy7B1/xyqmhIsOcaj33Z2a9CymJCc+eecUcXnfsrtShJSCxPiiQwTWmrTbT546jr0DjQAACAASURBVE18cvc9mNCwmNbwV2Dv1CXevOcoXscQNyx+x5ItB5ggZ112LH5TlXUTyjaNm6HcNre9d0xxXN6vvG+en5EmGjOeYkNLd3vK3x49SNxwn8Xgjhkz6O0d0jFDMiJ4kcH4EI84H04W9s5rAld/EWvzdGw3sLIgDx0W9wWwviGaSYmmM5IRS3capOXR2mXpTjnPf1J35+xO5dcUudCp8SFccMluJq//aAKXYJf54l6Byut3uMI81nM1IcS6SIIYwV8G47sFf0zg1uQwnmOqGs9pDsGS5IVnhbSmyKpOOOuuKxDjzi95IV4n2KKGwnpCsOwIW2lNiMek7K/VCuMpjK8wef+uFAbZ0Otq4buNYljcSj0W+I95rf6t1tqz+f5zwNbnO4ng8gEKxbI9o/CXXXmvAU58ChdebwFLZcEnqQrJiOeWqusTJP0suGee2MUbf8SRjO675yZXfXpmkf+fvTePluS+7vs+v19tvXe/fZY3g1mBAQYYEABBYpUg0ZK5xKYVU4tFH8U8lkmRSewcH8d2kmM7dk5yLP/jEys2JTmOFNpSTHGRZJoUVxAmCBAEAQxnsM0+mOXNzHvzlu7XW+2//HGrq/stM5gBwXDM8J5Tp7urq2vpqrp1f/d+7/e7uriV7qyhfhw6WzVBQ6DAKpUqhvRWpOQ7ZQyvH76NnXdf5o53HufvbvsyH3ruo3zzW4fY493NmQ/9Dnuf/AgP/4Js69tzu+k9ZuGtKC7/dErpvM3qz3bxDpdZPCScm4Ny5iB0d3oplQtyAQ6GHoWldMhulfWeWP0kZ7V2j5TpbU0p72izb+8iR1/ZhblS4M6fOsMrz++he1+fLWNt7tt3jMNL27lv3zG+sfAAva1WJhYEhQsOTgf6U5KEs3tKKNwYVjGcrsLqJ6SeFt2JjJ5eJQqnpWF/l6hmYxJN7WUXFUPvkS7Negm9u0P9m2W6P9MlfalI806b/pRh4mVh0m7vUmz/VpBjN3SQYPlDjks1YLQeqWIUrgppUH/GEI4pVKrwWqBjTWHJ5A17rd0WY68bWnvlJhs7GbN8wBbhnO0pxSsO2/5TNztWGb44bRn2dLfKxek25UoP6qKNktpQupJir/oYW2M7FkbdfBXDmFt/iPGDOojHjDFzSqlp4GtKqWOjXxpjTOY8NphS6qPARwE8r3HDGyxesrLxcoY+7EnfwLXskQeO8+yLd2B3NUlDsswXLo0z0RcOSX+CnJ1qYHFR43QS4pLOYdMAf/Vnn+Z0d4pnXt7PB1/ej1MP+KU/9wzNuJSXQPd++jd4+N3HODR9mWNfaNDeZai/ZtF8IKT6Qpn+lJThWvcHdFvemjJmXBjiIAY5iO42TXGdckHqjTyp3tXi/TtO8WfH7+Ll3jZ0T3PgwTcEF2GBe6rI1I5LeSXjzxbrVFblok8uyulPPCG5sXyIx2KwDN1pR3AQegQHkZo1OIiBJR6YyyUsX2H3VY6DcI+UsbvgBxWaBxOss2UgpXIhpbigaO6X0nX5vCas2TkOAsMmOAglOAhARSmdXQk6UlJeDCCqGVb3CJlPMA52X6NiiMsGf1JhLIkm+hMWtTfkAeAtK5x+Sjgm/SxOWyjyurMKHULxquS34krWQRtB6mYgsV2a2llnHQ7i5m8n8+PsIIwxc9nrglLqjxEB0Xml1FZjzGWl1FZg4Rq//V3gd0GAUjeyveIVRXv/oJQkf2xcUrn47Wb20pfuwuwNeNcDpznyJ3dxMZpmx+0LtItbad4XMvlth7Cm8mSk3UtzJN/6kudn/uin6e+M0OWYh/ec5dkX7uDzxx/D6cDDv/Aaez/9G5z+5d9m75Mfgase6aMRjRdduo91aXy7THuXoXJB0dtqKJ3wqJ9ZWxazfYN9OckjCmDNMnqk1Dgw92s1vjHzALpgSGd9vBXFiWd3cfDRM5z8yl5+5hde5IuHD3HvHec5cnxnXu5cfo+PWZEbw25rSleElar0hkQT1QtZl2iW/yj1Y0gNbpDidHXONVm+YOGsGtq7FMnWAPtMgfLTZQorKVfuTHEnpHIz/R9KLN0jw5SFd4PdhamXUlp7LKIqFBZDEc7JokZvOWvo0hLi6yAeUr0Bky9Jq3VcVLT3ptRPKKxAoi8dGZx+guUbVm+zKSynLL5DnFrxasTV+wrERQhrhqRkuP1TUntWYYxKDI0TKd1tmv6U5COKCxKNBHWN15I+D281wVr10b0QY1k4mrcAtf4xbtZSSpUBbYxpZ+9/HvgnwH8A/ivgn2avf/p27ChAe3+SYyFG7XoRRD/Tynzm+F70oT6P7DnL+fYYAIVzbt6p2Z0VoFScJQ03iyDsB1fYVe6x1C0x160zsWeFXuBw24R4l4fffSyPJP6gPcFv/u4v095l8F4u51J3wZiUFINxQ2erRWFliKSMC4ruNi1ZfsRhdLYO1b1GkZQDW7kvzm/6Yimku89C2Smnlibp7Qtz5wDwgfuOcnhpO8u1IpXvFfPyoo5EYxPkSdy3DE7HxVtN80RtUB064kEE4a4gOIqmTTodYPo2/kxMWNcEy4JrV8cqhLt8Vu4UB5K86jH2ilQgWnst/HGD21J0t3k4vZTUVli+8GwC6MSQOAqn62D5KTpMsLoRyweFbSoqSz6nvSsbhiVg+RrL19g9aO9NCa9YgKE3aWNmbOyuwelIh6h3WuNPy0VgBSnuUp/Odi2t7xn3RjCu8LUitSCqyvXhd228xVKm1SHOytoEp/JmdqtHED9IknIG+LZS6gjwPPBFY8yXEcfwc0qpk4h68D/9wXdzaE5bYbeHu2333jz4GGhl7t8mwcyFS+NYfSmHvRUb4BwenJEbb2d5haMLoofBVY8/aE/w4eoSbtOQTES4LQFMDdix3CY5YOrtsmIppLtYojEhYKTBe3vZ5tTSJKeWhhKMiSeiM45gqfLMvOVnIXv/xi8LXYxJGuKg7KYFBblJwvoAvgxqZdiSbkUmb6xLXDmf7urNH6+VYRGsAOyOJCdBQFkDS11BW8p+qLwkPmrXavKzR+brUHATTlde1w9J36r9WOMgjDFnYF0HkcxfQvT/btwSkXcjijDGUFhO0YnhykMldvzhFREkiWK2PQUr+wVHoKMULzJc/C8SJp5zsBflxrD7oagsZ1TxW77q0Nqj6e+M6PzLWeZnLNztImoz12tw7j/uFtbpJYW71Mdd6udEK+5Sf6i3GEZU/2CM5rSQhKgthuf/033U24ZX+ofoPWZx7AsN0kcjfvN3f5l/3jS88L98kgP/+hP8+n/9BX7rM3+B0iOL+N+aZPWOBHfJYsuza7krjFI0XmMNDqBylmtqPiqluO2PwZ/wiL0CTCmK32jgFBTNO6D4jQbde8F6uk5/yvD00w+QeBDf5fOz73spX8/nvv4w1TcUYV0ATk7XMPXdpdENrW1GG3yOE2a+UMXtJLRnPcKqovSaQ2E5wW1FLN5TJC5B6aJm5gWflTs8CssRi5/oYuuUwufHpSQ5AVu/srCm8aq4bls5LX72/bZvFbOyqKKzxWL8qVSe4KlBJxHaT9B+TH+2jLsS0txfpHLex111Of8BqX64ixatvZrd/1ZAZMQyvJk+XKA/6eC1ZIjhthN0ZAirFm5b1M2d1RDn7LyQ1g5a3NeL/ryZmZ+Q1r4lc64ha7ay36J6ISXK2KzjgsK56ghKruii+qG8juhItPbIyWsccZh7f4heVXiLmm9+/R0kBYM9ZtChsE8nRYe0YBEXLdyVkLDh5nwOKoxo7reIiyaPBpYeiCm/YUsOY0XR3mVovOjS3mVoH4w48K8/wbG/8a/Y/6mP03hgkcW5OuyOKc7ZRBVDMF3CCobj1jijWbf7MYkngi+JZ+E017JGpa6FsyzoxNZuh9Qb9DPAlUegdkpRvApXHjGMH5WeiOJVRX9K8A7Gt/jSHz5CVDVENUNlTtE8FOFdcYiqhv40jL+a6WZkgKy85Aw567ez0Ka7RdOsaNxVKCwZ2rcpwOLSYxaleaidTwnLivYOD39cUb2gsL42RneLwRyA4mWBLqdjlZxkZoMzAunc1RriFBXFdLY5OH1JoFbnEnpTFlaoiYtKtFWzMnXiKVLHo9BKSQoWcz+jsToZ5gMoX05Ja3KsKk4hSQnrNu5qQnunQyHrjelPCIt2f8IW7I3jYS+Wc0Ys3kIOQvBft7aDuCWh1gOV6/VWvZDS3qHXwGOjqYjC0rWHGeVLkohafaTPzJM25YuaYDLFvr3Nn3vsCG4W9hcuZmQofpKTy46SzAJUz6d4TZXDp+uv2pQuG6a+b+hvTyhdUXQf6+KtKBovuvy3v/gF9n/q45z8tU/SfGWCffuuULxk42/JqOlWQ3SQ5JPTCnFaMm/wnbMarutLSLA7w/2qXopxVg2Fq+Ikpl4UncrOjpSpFxVLj0o83NmRiugQoALN+3/1WfY8fo477j1Pd7uhesLJ9klRvqSwO6FM7QBrVV4H86zVMN+HwrJh4nU5nt4WJf0R3ZSdX5Pvr96naN0O5flIHIGrSH5uhXi3T+20NGsFEwbdDbDaAbq7+aT6IaoXoHs+JAmlqwlOV+Dard02XiulsJJQmYtxWzHFhZDS5T46MngrEb1Juaa2fjtjF9uVEIwbrj6ArLsfovoByg+weyn+uC0VsoJgMbxWQlyUVx0Z3NVIls9+o3ry/ubsxoYX/1kOMX6Ydq0Ioj+p10QQQB5BXMuW3+NTPlykNFektRfCMWkR9vtVvn7+XtJ9MYXLdq5bETZcrCDF6sekBStnggJYvFeRlhKKcxaVMxZhAzoP90lWXUrnbZoPhDS+LQnJYAx+6zN/gcYDi7mT2POZ38C9p03haJXaIwtET0p5dxBFjGpNDuYlnoUz0JxwRTkMwMqGHcsHbMKawMatQNS0W3cmjB8WaraZJ21ae6F2ShNlUUZU0XzpDx8RCUDP4EaK6KE20VyZYEeM0oaplyRvoMMEtCJxLHQQCyx5EEH0Ato7FU7HQqXiLACa+ywqFxWFJUP9bEJY1jT3Ojgdg91Lsb42RrEKy4/50HbwFizSsgdxCrZGBZEwTsNIBKGFRi/7vHS3TXFBStxOx9DZbuG0NWFD4a0YVCLVKXfV4De8XHLv6n2a+inAaIwl/KSmmOVI4hTlh/QnbFJHUbwa409YBHWN0VLBGOigRmWNc9lbE0HwFghjbgG2hevaLekgorIWkNQm1t4hT4JShg2IpiJqp68Nca09W2T1kT5p16bxskPqKbqzKWYiZHpyle6T08Tl4fJuMxxUUDdwSDaOQXuXpr89wR73sV8rM/6VIqkLqz/bpfpCOc+meyuK0iMyrNj34EX2fOY3OPOLv83tv/9x4rph6egU9dWNmhY6SNbkIHSQ5E5h8Dpq9TMpvUmNPyVlOx0pxo5qVg4aaqcVnVn5v1b3pbgtTX86xZnt0pl0efzASU63Jll5Zgv6pSq6bnBXBORkd4b5EaMUth/n+zBKhut0wOkY+tOKJBJVrcYp6ZVYOaCJFyz8ccXU0Yirhxyqc9DdYbD2dqg/VRWuhTrobiDOIMgAWIObbQCbj2JQItFntKJ2NkXHWX9GJPtQaKbYgcJrJVLxOJvQnS1QvRjS2e6iY8PYMcP8uyVpaSwoXNWM9yXaUXECaYrXSkhdlVPaey3BpYgSl5RRi4sSQWDptyycA7f+EOPWcBBaYQo2yrJQiSSj4qKFt2zAdURoObayJFoGXikqoqKidMplda9h4ojoLKaejRroeQLt3QbndBG7B2FVMufFKxqzUKBZ9LAebhGer6LGw1x+Pld2hpxlybIsWvulRFk+Z8E5abzqzErt3TssIKjKBUUwlgnTfmsSdsfMPbUD9542t//+xznx1z7J/k99HGdfm9TZXLzXrAugBpiDNZaBNVZ3yo/KlwbErYa4pBh7Xd6XL0lJsXxJeA3KlxTBpSrFPnz/5bsBiKYNex68wN2NS3QSj6++clAAS8CArn7QMCXbEEYlZVuU52Xf3DOD76A/oSk0DfVTUsL1morOVpv6GUkijr9iiE9WaO8xUsW4fwXzeQ225Bg2/Ccpon9paYHjK4F/J56idFXwDiLia1FaSvDHLFRioROHxFX0ZlycrNrlNzRbvy1O2B/TWL7JmaiMJQpeUVnjriZUmkJukzoap0vGoC7/R1i3KVhafjtgstI3Fw4I8PcnDuLNLTWSqU8SjDF5TdnpS6Z8IMtefcPQ2SFkIFZgZKy90yIai7FaUje0WrHc1FnWu3EMutuhtz1h6ns606AElDiL5GSNn/2Zo3zrjb3YrewJMEJNl8v4JQnjr0Iv09sNxgzFeQlhnb5h8ZCiPCcgKLuvcJuweofoS/hbEgpHq8R1MxxufP5jWJ3Omr/hmurewSZ1tYyctnE6oT8hPwzroiFhlCGsyfv+lEjbWd7w1fYhGB+uKq4lXPjmTk7Xd2D3FOUe6N7qmu1sKr2XOU8dGfyG7INOoLic4jZjWnvcfDhYvRDRnnUoLRiChmAJxl5P6U8p+q83UME8hGoNtH6wfUASzyNVDKeXRRBa4Y8JLqM8Lzd+8WosJDNBQne2iLcc09nuUryc0DgT0Z2xc+m9uIiwj4EcT5riribEJUvoCFUW2UUpSUXEgFEKbzmCIISRhxpvIYL4sQVKva024A3MLrzUIWt+ke9U1qUZ1qVmHpUzpqKi9DR4VxzSiofuR6RFB91K8s7QpXfFlM45Mj6tKhH/7Um9P3UNDz90jG98925MSeTwkpKNNegBARlvAzpOaO0XJqjqKQunLc1GS/el0ngVQ+v+gNIJj2BcehrcJWlptjqa2iMLLB2dwtnXZs/nP8aZ//J3eM/n/7psIs9BkOUgWJuDaMmupK6d4/1VkEDGC9mfEbBR4gnGYnUv1E4LtNjuGvwJsOcVygYVSy/BgCQGoDTTpWeVUMWE1EmYmmwSf0vyIwOilsQd5CDsnJPRbvYy3oShoLHdTGnutZh41eD0skqCq+hsc9CJHI/lG1DQ3qlJ3tEmPVchrRRRiSiz6zAWSnrkPJMix50NAQDaOy3cpkEnkFpkjVNqqHDmiwZnXFAEVZe4pEhKNp1ttkQTBqy+ODRTzoqqmXZG0LClJ6UvwDlRRZdmLpMBpqhq3ItFuW5tS67hzVTY38TS9NZ2ELcEJ2XdmjQPFT9A9K4DuFe7qG4/56Fcfu/tOT/lgPZ+wDtpii662QGlOPnRbWv4Kge8DtIUJU/g/pSTX0D1V5ZJPSenvU8LNpeeqNP4+ctcODtF8aJNXJFmLts3WKFhdZe1gUOyPyldmYUlgefWzyR0tsrFveXZJsF0CWc1JKq5OKshqWNhdUKisQLf+Hf/ZgPH5cG9c7x++DZxYj3FzBNztD6/LRPdlQoFQHExJS5ocaJIlysISYrfsCguD6X3utN2TssXe4rGyf6a8ippSjhRxO7G+JMuxlJM/C3p59ARWKGivzukfMIlKUCwx8e65NE4DsXlBCsQ8RkdCQw5qlp4y1HefRpVbBm/p1C+0BO4tIZgqiR5gCs9zr+vjtuSfETlgkQ+qSs3aeeBPo2nC9J+nTkXFWeviZQ0U1djLCWMVErleiVGS+VEBwZvJSAp2DhNEcYxrg1pyqlfFUjp2KsyZLG7CTpJRTNDqZxlW5mMqFYL7V5/yqG9w5L2/W0KZeD4P/nbN8wdWdi33ez6Zx+7oXvk+F/+Rz/hpNzMrsVPud7W81WGZbWBq9LupySeviatXGdXQt429o5V4svlTLdCnMF6fkjbNxSWh+Iwg+8HtXNg7Y24zjbjuJzvVNl592XeOCPMUEvdEsqTJIAI+IqT6E1bxCWYeG3t8ENHBm8169fInvTlheGT7c3IoqxAQEkDrsvLp6cILcOjB07xbPsAppgwM7nKltvanFrZS/0NWfcgIhkwcw9uMJUKrNnpAoY1nJJuM8jFbvq3RbhHHXltOURVCHf52HMepaNFdGhy5+iPWdRPZixV2THSlWhDGckbDYZFA+ZpFafofoT241wXZFApcdpCWxdVFEGoKV7qrsFjbCacQ2KIbvNIXSnvOh1yDdibsR/94/n6dss7iBu1tT0aKm/iGjAW58tdh3PSVGKuHN6CnvW5f9tFnmnvBcRBJEVFcXnjb21/IAk4Om/jaV/vKKwgwT5XzDku/9HVg7y4spOlM2Pc8c7jnC8PkwRJQUqYo8OCgdr3Bp5KPYwy8lk30SNgBQkqNZSuKO6bmKNgx+yrXeWrrxyknPFcLn9/ivnJMWr+kENyTQIT8qEZZNWXTUR8VJCgsmRoabxHZ2dNjs0Dc6CDAxTu6uP+aUPo4zxR30rcbMgxIPMZbDsRB0GcorJSrLIUJquKqCgZVkVGrHRZOCy7WxSd7Zqxo8kaB6G0ljzDOgfR3aaIS4bqOWjvhrETN4+kvNWTlLckUOpHZY/ecRpgA3fl9ZrB3g4b5bgc8Fs+vOcsD+85S3u+IhRnnhohwVUZ1uKH+/x56sI+zpyfZq7XwFpyeGLHKZ7YcQqAbTuXCOtv37b6lyoUFxTuvI0/OTyuAcelFUl0M+C0/GGY0zE5V+WN2qC/xlt6i/tkbnD6EdktFUEMaOMGCUZYy0+pUoZPDT2i2sxGvsrCiuQj3LZURUByEk43zajQMwixRhg1leK5Z+4kaSQ8ePdpvnNmN2nHyeTwTKaYvZFDMtfmXMcjCWTq3jZOmOYK2oNtGsWmHJcHnQ/zoec+StR1UV2Lg4fOc/7EbknIRcOLsHGCTHRnRGUGcg5JHQ/H4evNClJGH1yDJLDJMvYo4bo0gc3Mlibnmw3e89Pf50vPv0O2MRVzdaWKE0nSEYb9I4MIQngrR7U5Vc74NXiSpwULtOQHVKQIxgxRI6F23KZrlUkLKSpVhA1JRieOxltNqVxMJVmqWKvNaWVsU7YelqoVGEejlELFqVRg1lVJBtyWqYtUgVxbyq1ZSTUt2PLfZ5+lYiFUfXFR/q+oJgC0m7W3M4JQSr0X+N+RsPf/NMZsaJRUSv0S8D8j/84RY8yvXm+dt5SD2MwqlxPsbjwMXa9h1qrU2aOywu4KUCYuC6+i3R3td7j2Say+oZj5y3NcaDdwT0lm2/YlKWkFKau7bBhpzwZpBU48MvyDxr6c0N2W9X8M1fJIChZ6ZJiRFCwO7p1jvlNl6cwYdk9z0Pkwrz78B+z57McoLFrS8XlIhhZ2YEgKEmIDlBYF+tudFl2QfFihpLrj9NI8/B6V6bMDIwxJ17DEE5o1s69H1HeYb42jQsVco4GzLMeV7A2IlwuMX0jxJx2sMCVxVCayIxgFp5cKriAVspnBvpSuGKxoiFo1lqJ4JSYtpDmLlLtq8ANIC+A2NZ0dKaQ67/r0VhIheVnnIFJHgEwqNsNStYbEFVEbx5ZEptP01x5zlkewQqifTYjqXp78RENUsrHCdOhwlLSh6wjSGiSJkNb0pt+Kg7jpn2xqSikL+JfAzwEXge8ppf6DMea1kWX2A/8D8KgxZiUjerqu3VIOYsArOVoL35R+LqOVy5dVagMdXW9KU7kk5CsDTiunO5KkNEYuoMET1hgOfvg1nn3xDrSveejnX+N8e4z2wlaCOqA3p4hjUec8kYUlyUcM+ByUEcn6/MlpjICgspzFZhR2ez77Mc586Hf4q288AcB3zuym4gjMPGxkLdk+XDpgoSPY9sza0pqODFaQOcUsgbeGgSo71jU8X/n+yX+l+wnukTLuu1r0LleY3rfEa6/u5NBPnWG21OTPnr6PQw+c5fj8XrY/PchOZi+ZIx9NUlq+lT/RrUEfiZaqgrBWC3Vd6bKin1o07wC9u4sDBGWXsecd3HaKt5qSOormnTZbn85QqIMkJW+epLR6oraWJykdC4yRRrPllLCqaO61mP16Z00OQgebJym7DxWwguy4AqhevMlmLQPm7SOkfRdwKuuyRin17xF+2JHHFH8D+JcDlnljzKZkTqP2Y5ODKF7ZPMIYTUrGRXEOcenah12Yt3C6imeO72VndWWDKM9o9DAYSqyfP2qDEHzTJGVP8caZab5zZjf/7NJ7ibou3qKVCwb/3W1fhqseViAVDLcp0UTYgGRic1KCJHMGqadJPL3RObyJWUEiIro+9C5UcZY1C4s1nGXNbGkYepxamiQpXPvxlzg6I1NZNwRyNt+fwryUCwtXFXq33Pzx5RLOFUcStNnhhmWN/xb1TIb7YOU4C5DSsBUN+R5uxrwV2ZfCskGHN79fo8+86003YNuBCyOfL2bzRu124Hal1DNKqeeyIcl17ZaKIH7Ydi1JvQ3LZRW0AfNUPn8TFSyjzQg4x2xY7nplTqu31qmprpUTyRwNfQ65hVzxa83vRiLkzaoYRst4e/TperNmBQarLxyTYc/G7isu9hrMlppYvqLfc7F4kypGMsxB5LwOI2XO0SqGFWY36khDpPaFRs4KU6xQKlJWJAzkP3AVY6TMqUOR5TNaAxJh3EgVA4QAx1iy7zq6/nW1qd346ZlUSr0w8vl3M9rGmzEb2A88AcwC31JK3WOMueag85Z3EE7nxv7B9v6E6kkra7xKKS6l9Cc03qrJG7/iot40aTewl750F/29AXfcdoUTr85y8cQ09aLQwluhCOmOAqXiwvWBUpWzEkHojNdhTQ7Cs5h5Yi6X6Xvm5f0cPHQeDsmw4he++99h9xTHP/JJ7v4Xn8BtGQFK+eIgZp608ccU7R3SiXizQKlrWVizMZbKqex6oVDYue9e5dXv7OFo0WDGE9SSR+U8+JPutYFS1nWAUkAwMwRKdXckhDVN4kH9G2WadxkoGELXsHKnojhvU1yS/37r0+BPl35goNTAelsU/oTAr8tzhnCyfENAKa9p6MxqCouG5YOKyrmbDD9QN5OkXHwToNQcsGPk82w2b9QuAt81xkTAWaXUCcRhfO9aK701HIQxmCjGvdSiffcktWebmCTFhBHViwGXHyqy48sr8gTqh1jGDPHzQQhaM/OsiLzGBcXl90fsxvAB2QAAIABJREFU/LSmuCCAncGNWUqHTzTlhzK+imIwBm0MlQuG4lWX+e/dxlj2hHj411/kz47fxeynHUrza8N6p6soLqmcjn7APj3gkFRhjNMMRIw2FVFaFafoIMJpwcLnt6Gy8mXNh/MndmP5UHHIk453/4tP8Mrf/FfsffIjPLr3NLOFJp9+9QHqn3VwuobiwloOAqNEY1OlUr1RBtzmOjBVmAgBS2YqMVi9GO1HFBYMKkmZ+U9lwqqNjsiSox6NFEChE0sUwlYSSnO9/BzKyjWFRfJtk6bY7SB/0ms/zlu2CxfbeTJx+jnR6hgArdxONlSyFF47QX9igQuvbaF4xWLyaETxQnv4NB/ZNsbIjT2SpMyJZoIQa7DMYJ9TmHw5ll6LokaHBu/yqvRlZPkt4zoSQeR/mIIkpWHXSR2NTgyVy2pNMvyG7e0rYX4P2K+U2o04hl8B1lco/gT4K8DvKaUmkSHHmeut9McmB3GtHMDNmPAyChLS8gX/8GfH7+J9d7z25j9+C2b54gjcluy72zR4rQGnY9Z70jI54hLgot/gq4//FmFF57qTP5R9Cw1u2+C1h6+Jt1a3M7wGsc9bMbeb4nRSnE6SEwbpyOB2U3RoWHh6G9PPg/Pw8jUJhd6q6UiGL2829NzMBtGp3UtufoiRAaVuZHrTVRkTA/8N8BXgdeCPjDGvKqX+iVLqL2aLfQVYUkq9BnwT+O8zishrH9/NHdGtawMMwsb5Fu4orVvBwvav7emDMYXbkpo4sMY5DBJ+o+P+xBPRlkFksp51Ov/tCNmLfLYJ6yp3SklBWJZFX5K8FBnWFY/uPc2vnfspPnXbtzgddfjHl94vjMsKUnfttlSUkroayx/d1tplNuOVGJhxNSZR4oA8cDuCXEyyZqzEE3xDVFZULqW5LuVwB7KXkbbt1B1eZtofVl2MI+Qzyo8JyxovEYyKjgxRWRygSsC2Ff1dIU7HpXOmQTVK5bfXiiD02gjCWBkOIrU3baqKyxY6FEUuHUp1Q41EGvm2RnMQOlPUcshawi209RYc9tsIgjLGfAn40rp5/3DkvQH+djbdkP3YOIhr2XpncD3nAGyoWozaZpBlKzD5EON6y62/KXUYZ8OItReV5RssX418htlCk4t+g9NRh71OZd161m7LqI3z1n++nqkwRSUpVrh23+zAEDoC47ZCSO3MIQ6IXUZv0mw/Ro91U6h1lAhIjWGVYhRTAQiNfbb/ibvutxschNl0iKESI8CnKB5yN6z5fyTBaFI1XPfIECNPUkIOqiNJhxFDBjLT8Vu4229xqPWPjYO4kSFGXLBwerFEFddYxvIlsWX54I+zZogx0KUYWOINkJRDWbr1EcT6yGHD9vK+ibVOQTAPMn361Qf46uO/xT++9H4APnXbt3jIvUuAOuuigwESUnIQai1qMLPr7c/1LPEGre+yzsRV14wgcgCTWRfhDG5W1kYQozYYQlgjZUP3kkNp3uA80iR5tv6DRRBwzdph6qibiiB0JFoeKnmLocDbGEH8MOzWcRBakZYLVE608pOolKI37bLleZ+5PzfG7BfmxaP7kbyG0fCJpYX12u7D9j+1OfehhInnXKa+18o3Ubgird12KyvHDX5vDIQRy/fHbHnKwgoNywcskpJhy5+6vODdx73/4AjnP7p7zS7n0OmUTW9EIGefHnBIYoQ7QAUJxcWU3rRFUoDeFkPjhCAkLx2wcpzDzJM29c86fPjLfyfXgnjIvYvn/tlvs+fzH+PAv+ps3OgmT+s1liVmh/+9lv1MUjQBGENhuUBnmyQp4zGBrPdn5DfecVEhX90L499dJ2oxoqy+WRFfredMyG42Sa5GRDWb/qSsw21Lu3dpPmbnVyN0EBNdqrD4iVUaf6uzocyZbzsdokjzZdJ0eL6zZZTnSuI0ruKsRlz4uTL+1pi7/td2lsDMKkOus5bSPltfeLBBYcWAknyJ3b5J0lrDLR9B3FpJSmvQq6Clhg+Z3L2iMpcOT/boBIKnLwsJqbHEWXgXXZbeGec9EIObOX8/sJF1qUATlZT0WFigA5lvlOJbX7xvzbpy57BuvWu+v8b+Dn4bFzRxSfZXR9JbIWNwcK44OFcc/DGdMRqR9UrIsgPSmQ02enybdC5udtyj/S0DSwrSzxAXpKwXFxSFJZniouxDUk7Wnofr2fplRvbRaIl6Ek8TFzTeihHi2Vj+m8TT+ZWqoxTr62M3ts31xzpqWufzE09hXM34sZSp56yNy11jnW47yftXUlevAV/dqL2NQKkfit0ahDGlbeaRrb9Kenkek6QE77kXd9lHBzF6fllKnr7P5b92D9U5KWVW5gLigoUVpsRFi+LFdq6LoVd7efnztf9plvEjFpYv/JGpZ/CWFROvhSSeJqwIXVlQs2ic7BLWXdFeXAkI6y6FK5nyc7uP83t9Xv3OHkoZatOfMES3BdiOQJN5Vwv3azVW7pOn5G1/LLoV1UuiKF0/k7K6U9M4nbC6U5CD5YU4H7YkRYvutDVU1g5S2jtcxk4IbiF1NTqUJKQ7L5HDl77+Rxz8zoeJX5dWaaMhmogpXnCISxkf5EAer5Cifc3EUfDaCUk2PEkcWD6oKCwKZV5aSilcthg7njDgpAwrKsdaxEWN3U+pnupw7oNZS2cqYCeVQO09V2h/bQsqBqdn8CcUT/zlF/nGFx5g4rUEHRsSVxP+2jIrr09QPasoLabY/TRzzCZvfNIJtLdb1M/GIt4bG6xexMlfK7Hz9nmuPrUNdxV6M4bafUv0np2EB1p4TkwQ2fSaRbZsW2HpyDRTLxmW79JMHY5RqQxlrGBIl1edi3CXfY5/vEDlmIvTlu5Ro4SeP6yLDoe3rOjtitj9GdHQ0Ikcj9Hw3f/n79wwsYu3a9Zs+Qd/84bukfO//vd+QhgzsLikca8hi9feLl66sGSRFDVxybquJqIqJXS3W1h9uamDyQSwcvryxFFEFWsNbPp6Nv2OeRa+PyP7OR1RLIXEkUVva8r7d5wSId1MK9Of8Eg96E1YhDWTazP0J7TQxG0iObee5ObN7OB3pMFrb/8jFIoh/rkqv/Su7/G51YdJygkqtXj87uM8/codlMZ7+H2X6EyB1LbySk1YU1gBdGdT0koClqE8N8gDSF+DHUhOYH1pNZhK0L4iqSSoQOM2Nav9AnYAQV36I6Kq4UvPvwNdlWPz67Lt9pEJcKG31VC9JKVGkyUl03CY7yhnSmo6NkOG70BxYWEMNZESFxXhtojmqxOoqiE9UyP2QccK3UhZvjJNNBUDlrBWVTUY8Cc0dt9QvpytM0s6qo5NWBdpwqgsFa2oYjC2OIjejoTiBQe7PySt0ZG5Kd6N3H4yxHh7LS7JlH8uiNjrtUxfdQl3hiRFQzA5eAKSdzgWWuka6PL17NXv7AHgz7/nJbzbV3GKEcH5ClHfobSjzZ8dv4s4608olkJiTxHWZFtWoPCnwBtgHlrDJ/KorSd72WyZUYtfr+U4iR1jTbYfnOczL9+Pt2cVCimJBwv9KqXxHtViwKN7T9PbKhe9P65o3S46nVYA5Yua8mmH0ikXt7N2u9aIhtDoPv76409x/7tP8lfe9V2oR0y8a57o5Tqre1Kigz1SF8LJmPJZi/J+qd2mjvBmFhYU3rIMW9b3Mehw2NvgdJINxD/usqb4ShFrVm7S23YsUrqiKN7ZpHxRUbkgDOjlC5riFUXxnIOOBXPS2qtp79Ss7htiGOxekiM86yc0pcuK3lZF77aY1DWYrT6FheHtUros8G27n6DDVNZxDamGa5ohJxt6s+lHZf/ZOYi3YqZnEe4M8RYzdN6UXO1h4+a991SxyxcPH6JeGsKVVd9i38SirHvWz4V0/Skh2fWnpNsv8eQiD+tqDeDoB7VCMeS9xz7Alw98kblXZ/CKEdWiJMzMVp+/tOX77BhrcvvYAgv9Kk5b4Y8rolomO7hd9i+qiuNIb2Lf/t2JB3nhyD7mgxq/cugFLr0hIsG1M5o4sPAnDKogN067VSS1FUFDoQMpZcYVQ2/rzQ9zU1ccTRTY6AMdzp2SzuXu6SGLjVR55L2/NSG1BTZv94YOrzO78RpIHfAnhz05iQvW+QL92QRvRaODt+u2UcPE0ptNPyK7JRyEUQyTSBlrsLH0muSSUoqoQp7AssJU8PUtoSjfmHCTQ3ObCh1oKi979PeE6EBTOOnhtlOqF9KMYCWblDQGDajOJXmm8kSajuDoK7vYs2eeS5fGGa93cVsaYxmOvrILdblA4bUi3WaRxkyb2tmU9q6U2lkJVwtLkvArLBrKcyZr8DGSHNTyHUrCVZPNs0KTXyMqSoekLvKniBT9uSq9yGXvv/8NTv/KbxO9UaEfOjx64BTW+QK/+dQHOP7GVo7Mb+fyag2joXLRULwix1Q5B3EB7K5M3rKs24oMsaclUZklEa2sYcqKpJQYhTa/+Mh3eerUfv74Tx/jfQ8cxe4qbvvF03jlUISWF4W74Z17z6ESQ/lyio4lAV2+CJXzWZKyMExWosjPw+B96kqHKFrAbHYPnHMexW9UUBlBDluCbN3yG7snFYb6MQu7n9Kf1PSnTZYYVjROpvn6B2b3DbWzBn86pXTOpnECdAxjRzQqhtIl6b8Z4B/y6+Wt3MfmBqcfkd0SDgJYQwgzyGqbwY2efeetGKKqIqqKsE5c0lIzHziYTaob/T0h7oomKkP5pIuxDHHVEBc1UVE0FeJSVnNXEBetfPvDEy/ri24LmN69xIXnt+NccZifG+Ox9x/BqoWoQHHgwTeIKgZlp7RaJeKConZKExegdWeC0xYGorgIzQPgN4TQZlCpMVrIXmSe/A9+Y+j8Um/wnrxaEU3EfOhnnuPi/Bjuji77/uDjnPrwJ+kda/DsS3dgNOy74zJEijCyWZ2v4K0IbNrpGirnoT8tKlP9GUNYh/60sGLFIw4hLojjij2NX9fEGdYjiTWf+/rDpB2HsJHyzS/ej3+oz/l/vwfrcFVu0q4irBuOPnm7VA1cRXnOEIzDyqGE7qwhLkgfhFGC1EwKeqSSoklcwRwMEJqdXQmd3QnhdEzz7hQdKYmAllyCcYiqCn9CHird7RD9bIvEE7Tt1GFD5WJK9YwmrIj2ZjJwPkrR2QFXH0wZe0WczspdBhUrurPieIIJQ9BQpLbGOIPf6mu2sl//wr/B6Udkt4SDGJB8AJDKBaniNBNnSSA1GCPqSaktug4qMaKkZWdNMmm6cTKG2ssuwZ6AYE9AaoEONPGWkNSG1j4oLqUiKmsLsMfpxpky9EAhOs0mQ+m1AgsnJ3EPrPLzP/cSKtQ899l7sU4XueeBsxx/bhd3PXqGUiXA+EJ8YmxoHjCMH9Y0DxicriEuK2qnobgcY3elgUvFkoRzeqnQrsfyHxSX44yQxmD5Sf5eSF5SihccPvf1hymWA+rlPuX9zVycx2jDwz/9KpeaNX7nPb9Pvdzn8UPHCeuK5p2GpYciVp7wMVq4ELxlhd0TnkW7n2L7AgJKLYXTz3Q2/FQk7vwUUjChJi2l1La02XpgAfveJsXvF+nshAf+4iuE7+zw6M+/THFeMfmuecKKYnUfLD4UC1nsFVuk/vqpEL6khtRSWP0Uqy//u91PsYKU1BLyF1JD+aLoozrLtrTcxxJVuCsWhUVDYdFQPScEPrUz4J+tkrgKr5my8CDMP2JovjOgs0so+KwglQSoEadZvGSx+K4Ef0tC5Q2RT1CxiA45LdH/FDHlNPt9clOI1dx+4iDe3H6YQ4yoDM6cmw8xjG3yIcbky2bDEGM0elk/xIjKBlON6TaLfPmp+/m5B48SlyCcSnjl+T0YC05+ZW8+xJg8YmjvSpn8vvRY1E7rfIihI/JhxPohxoDTYfC6cUg6jJDikiEpJ/RaReavNLhn+jJJJWX3n3yUs3/pd3numwfptYp87KsfYVulxdOv347RMPF9xdiLDqUjRZyuDDHIMBY6Io9UjBr8N4xEL9mkQXdsytvatOdqzF0cJ4oE+MXuLt8+uQ/9eoWnv3kPYQ3mLo6jEhh7zVA95pB4iuKCwenKeoOaRA1R1cq3EY9EElHVlnOtJYcTVUHF4hR0LNKKwXRMVBVi296MALD8CYXb1KgEWnstKuc1Yy9rvPMe5YuCYYjLQwxDMKZw21C8ZOMtWqRehlWJpZqBEr7TpOQQl23iskVUtonLN1kUHAClfpKDuL4pwxANkopakhpg4QdwV2OonUsJxhTBmISFqacI6hZ2bx0d3QgKrrhoUAl07glovOhSWND4+wPCqmbxHpVniQvLJqeGwzDyfvC0NgIUOu9iLziYrT5PfeUd2D2onrQxW32cruJnfuFFiBWd18dYvFcxflSx8ESE10qJqoIM9CdFlSvv4cgmlWb/Qzrs7xilghtO2X9lBOfgLltYSw7aTXj+qTuxOprH7zuWa4GSKB6/7xhHzs+i3QR31bD45306OyEYN0RlcFsC61ap9IPIcWfbS0fO0ehTLRXOSJ5pQAJuNSQ5Iyzc1SfLmETxCx/8Nh967zNyHnoWcRHmH08J68L10Z2ViBAjFRvLT3HaSb4N25d5GHDasZzr1OAtQ2EJ3FVFOJbgLSkKSzB2VDRdS/MplbkEK4DCkiFsCMZi8uWI1Ib2HjC2oXkokirESKt2ccEQVmW/jGXQgczTIZQvykOq0EyxehF2V6JApxtjd29eWWvjud18+lHZLYmDuJYNlL3XW1K4tp9bvjc78T2L3nZDtD3E9ORpUboipc6kAEFD0Tgp/RrXss47+7zvjtf44uFDlEsh4b6UbmRhOwlbxtpM7bjEFw8f4t47znNqaRLr6Tr+FJRPuLT2yjrCmmhk+hNgBfYaoBRISXS0l6M7bed8DgOg1Jp92h/x+N3HWehX+Utbvs9vrn6AfXdc5sVLO4i2ROz+4t/g7Af+Ne899gF++eCLXPQbHD5yN6XvF4mzvq/UM0Q1yROkNqSllIkXNG4nzXEQA4bwxFU5UApA3b1Kp1ngnv0XWe6XmGsU6DTEaRJYfO5LjxLNBti7wJnpU3i2RO11W3ID2xRRNSG1NakrhLxGCw4iqsh50LEhqljCWTEYBiA5HRUpzEQIkaZ9MMS95BCNpXhXLaxAmKr9KRHESScDwKU9K/Dx0iVFf8ZQOeUQZ7gVxxjwoXObIi4anFWFvyXNiY7TUkK/p0nKCdXTNtVzlggraZEe/FF3c/4w7JaIIG7UBmWn9XY9HETpgo0qJahSgtVTmJ6FKslF1ttihBHa54awEPpigS8ePoQuxeybWCReLmBf9IiXC9w3MceR4zu5947z+fL9KcEX9KdTClchrKd5N2RxfqPyF5CzT+fH/CbAKatp8/Qrd3BhpcGfXHkHFFJOndrCP7/3j8DXPH738bwEetFvMFsQLEJ/a4o/G+LPhlJyDMBZVbirCu/q0ElKAi9zpJvwTwS+g9WyWe6XGC/2sGsh3oJF4sK2XYuwr8uvHHoBZ1UxVe8QlRT+tMHfmkiFIdDoULaTOorUVfk2RcE7uzkd0d4ccFy6SxbesoZVB+0l6FUbK1DYbY3dBacDXlOe+t4KmMAiKqosgjP0thnCiYRgfPj/Dpij3KYMs/qzMcYR5K3TVVgdjdOViM3umnz51H7rQ4BbPYL4z8pBjAKkRu16EURSNJiehelZ9HdGqFKyaQQxUKq6niVFQ3myR7EUcmppkkfuO05SMNjjPoeXtqNLMUeO72S21OSJHacoXlX0pwzFBU1UA7elBb3p3tj2bsTSQpqDoKaLbWrjXQrjPv/wxAe57+6zPHN6L/ePXcj5JACiqqF4WVO46GK1bKKqIaxBVDMknsnxGjdiXiEiqceMF3ucWxmjUAxJXFnXar9Acr7M5068I8dW6EgAUnZnUD2CuPoWcBCekXwAkK46pF5K4hniqog/J67kCVJXsBAqlERjWFPYXYXTkpvabm+8ueOSlECdFQsVyToS15C6hqicbdN5m/ICP8lBvH32ViIIq6/yCEJnjmIQQSQFbiqCAOgultg3scgTO07x/LnbsHyVRxAAuhRzeGk7h5e2k3hgBSp7XRtBWP7GaAE2RgybLTNq2tf4fTcHQQH4ywVuH1vg8KnbAPLI4X+cP8T/NnMUyEBG1RQzE1BYGkYQG/6/ULgh7MCsab8eWLkgiKMpr0O7VaRW9HMQ0o6GRCtT9Q46gJ+aOSWks44IHemMA8Jb1DkprQ5Nvk0hsZVzuxnU2ukI4MpuW+hahBWobNkhCa4OkSkQXIeODGHDENUNeEnOQzHYBmTYiRCisQTjGOwuxGUBlQ2XHZLUviUeCLjxCsb/73MQxmAsjUlSMEI7BrD0jgaTX1yQVtskwWsavKbc2CqRk738gEInDt5cLK3EWkOcYOIESChdMSjj4bYMcUkISC3fpvXBNvHpCm5TOjfDOuh+hJsKcGnwXg0IUZKE8aMKf8rh5c5ujrc0WkPtjIyRv7HwAJWst2K5VpSn2V0+xrekS7SicWa7BJeq2L4kwNaTx1pBKkxSIw10jZP94U0x+pq1TU8chehMgefPHMRpSyVkfMVw+NTdlLWI0Bw+cjeHkcjh8zzKsV//JLu/8td5cP8brAQlrj6/g/60wekoLF9YnMaOZ7oTGQCouDDcrwHXg4oSgm9OMtY1fO+1Q4x1DKv1LYxdFJWxC8u7mLyc0j85w9hSwn/8t48x0YyYfzf8tXc/w2dPPEH5otDYlS72RjgkDM6AZ1kpCoAKB+dWbsrx18VhhBXJlfTPFPCaKfFFjbcqwkkqBa9p4TVjKpc0XjMmqLmM3b3I4qkJCmc93KahdF5OnIpT4Zo8VUIlhvCshVFgBwmlBWnqi0rS4OW2E+yrbWxLYyzhi8ivlZu69m/+J/9f2q0RQZgso2+yxFdi8uz56M1SWEmEVSjPqoNO1MYKxuhvWil2Dzo7YPxYROmykZAx1qjbeqhUwkVvRZbXQYzuR/n7UaEebzXFbRoq5zSpY6icF1m+6lxM6hjcpqHzQB+3CfWT8Iv3vETlpMMvPvZdiguKoOti9yEYkye4FSRrJh3E6CDeMF8F0YZpcIxeO8HyoTwnTqd8Saoh/S0p5UuG1qM+GPnsrCqsvmL3V/46Z//8v6Fsh8yWm/RnRI8itSWycVfJavwySY1/42dlpFpQXkgl1zKlKCzJk796IUSlMP9TCa07DE5HKgphVfOR9zzFZ8+8A2/FENYUYV0cgA4TVBgLHf5gCmOZoux9JJPTlYjD6aa0Zy2KiylON6V0NcbuSW+EsxpmkUhKd8Yi8TTl+ZSr58aY3r+IsQ0rjwVDSvxs3TpK6U/ahGVJzmKguBSTWoriUixYlX6CihOIk2yf5P3N2k9yEG+jBfWb393EFaFb+b1FWN88ZA9rN7auqKbwpwzhTExUk3WFFU04E4sq9Yor0vXZd1HV8HJzG4kLjx84+bb2YMg+6bzxKqoZ/EzYNqnHRBWwLhSIK/I5rkAwmfLg/jf4yPnH+b2dT/O+8WzI4UqviHQu3vj2g4YgK4OGrCMYk+0HY1KpqJxy0JFEbkFD1Mj+8MQ7+cj+50idQb/Ezd8BUUmSlkFd+DOCmiQ5g7olyUxbYRyd5wqsyKBjQbJu37PI4kqVcCzFO7UxGWQyXdHUGQrphFVLukarFmFV5wnKH9hu8SHGmx6lUur/UkotKKVeGZk3rpT6mlLqZPY6ls1XSql/oZQ6pZQ6qpS6/4e58zdrwTWcw81aOBOji3HuVDbLE0TV7LWWJbU8w+nW5Nuy/c1s0KkaZKpTupAQVdbu1yDnsBJItvePOnV+qSKMW8m1OPjebLtj4hTC8Wz7WVUgaGiCCXmipo7MGywzsLct0Qe54x89x6m98fIetPVPjrWxJq7PABVVVe7og4HDfxuV3nOMyS3czXkjOYjfB/4P4FMj8/4+8A1jzD9VSv397PPfA96HCHHsB94NfDJ7vb4pMLYFSoMR/UzL0RRWEtAWIMQltm8IxjRWXwg6MALw6U1bNOIELEvCvqx/QympUhTnhSm6PJ/QmxKGpsL3yoR1WH5PH/tsQcbeA65ENcLlOAgbLSm9GQW1VxzCuoOOsqx431C44JB4YLfliea2DJ/7+sNU5hQnottwI8XKM1uIpg1xLaE004Un1/0NA4Tkepq2zfgOM0akxJF9qJ+QnoPKOemt8F4voiOwO0KSUzzrSvXiSJGrz+/g/Mwsz3I3/wA4/pFPsu8PPk46ExAvu6TFBL6abVOPbHtwoWojMGtLUTubSkIw0EQVKCzK071yMSa1bIwF1TMyJGsck3Dd/k6N3/vue3FiQ+vOBHfCRyUGQ7rhWE2anYskYxTLAHCpLQ7G6Yqoce18QuooKpflVcda4Pm29NdEJeGUcNsp/c/PoFKIH4qIt8U5ndwAnBcXpUGtcTohKsnQq3oxxh+zcDui3ZFasi+K7AFv1LBd4GbsFueDeFMHYYz5llJq17rZH0TkuwD+b+ApxEF8EPhURq/9nFKqoZTaaoy5fN1t6EycxNK5BkDqSTOWsi1MDMqyaO+QsWZUUiQFnTUQZW3K1eIaRimVyqG1bpfuxMJVWLzbyhilJEvtdCDoOOhY4c8kxLUCacGSrs5+TFqwcFay8kanz8pdgjKMKmD3hQgldaVK4XSgO2soXVEEDYM/KWrhzUMR1RMO0UNt9EtV9jx4gQvf3EnPKhGu05gcNKzlcnWZWb2NCD1nuQdKsXxQKhDGkjxKfxqMJb0VcVEwAFFGCGPsrClr2lBYGJTvyBu87n/hlylON7narBCNZaF3VmVTI6HuQLXKafmE1axyEBuKC6IlEtUgLtnCzNVMSVxFc58waKWuwl01IpT7UID3RoHA8ojrSshlk3RtSJ2J++owkSRmVjmIygJfLy6mlC8nhGVNf1q4JaKyQiWitKUSQ1ixKC6lxAWL1l6L4oIgQivHXdyWIa2JkruKpC8mqGmKywkqAbctnbVxSZKhAwXx3oxN6VwBY/+yM1USAAAgAElEQVQkSbmZzYzc9FeAmez9jQiIAqCU+qhS6gWl1AtR1EUlCSZLBqaOXAhWmGJSqWyYJMHyDWElkz7LugwHDNQqlgatwas0eaW4K9I9GYxD+bLoTQ5adJMC6J4mLhowCh2n2J0IuxPm7weNXypJcZsDHQtB2oFEMKUr8tnys54GpM08rIN3xSGsQThXJqwb7m5cIqwbVDHJYLojUyeSad18qx9tmEhkvwqLirCeokPJo+hIqNEGvRVJYfg5KUjruNNRWZ7EkBQM6UzA/S/8Mi+989M8NPUGUd/B6sf5ZPeTTT9LJSnjp/Sky9aKMnBS0zDgtEw8gScbJb0TiSe9F+45Sch84tEn0f0Yy4/R/Rjtj04Ruh+jBu+DCB3GwlXpyvAurGh0bLC7kmewewavZSguSiu31zL4Y6LC7rbM8Py7MoxQ/v/L3ntHS3Ld952fe2+Fji+HyRkzSAMCBANAUowWoyRblCWa0ipwTa1ISLvrI+nYXofddTq2fI69Z9crKtmSbckSSZM0KYqkmQHCzCCIOMAAk/Obl1+nivfuH7+q6n4zCAOYFOdodc+p093V1VW3qqtu+P2+QfavkgySVJCu4wZnqABbKpcYloC3Cg+WNEPFGTqRuqr4L6HWVxXnnFPqhZ9CYTz6uyCalKO+EiovLkxebQyIPmFpMiOsRjXcBlm3qSLOkY45wtUicBcInDjMhZWHBZULSs4Grtg+lEh9lGFDTx7GosQ3DtDna8W8UHwy07bsx/qQTWY0TvmkYxLgql+WUYa/oYh3ZgSrAd08xOsrrJ8TzYhzd2nw65QgB5Ubmv4mYx61y0V6MdCoAmqticGK2Ipt5VhfV/NVry8cE53KZ+uB8+R6Zk3x3RDehVyXbCWgPrfGr118Kf9q64OcHUxyeXKfMBVTW4mymjgn94c9s+kLK1YqJy+5r+juknR0qZhkfUU8JVgQ6yu57hbiuRyVKD586k4mmr5MM0KxCSgFYJ1WOE8NG+tiGpaMSyNTzuMHM5qsCV4kXJcyXdvfKo2/cgKo629RtE/LCMLEhZDPmDRUpp/KlMGTaU1W6FIoC9GkxnoiY+dMcU3DAFeTC/B89gbPWv6CjiAWlFJbAYrXy8X6azEQvbqU5Koi1el3MyEq5W6TIU3uK4Kuxe9KKk/lDr9biK4U9O5yP865ag6qMiEGWU8eGr8LXs8JzXs2weshIJiS5m2dmK/YgsBVpDobrVhEVbOC9ZhB2nTE0yKAgpF9YlwxzC967B4oLSrNn3vsFrw+bJ9Zkwcts9UxlXVyc46sk4dRRjDkbvi+qJNtWDmepqqbM07qmIHXl20qxW8jDYU3KBriHGw9Z3GtxcceuYOfOvEmPrzviwX1mkrS31Zu3Qy/c468rnBGRlZOg87Luih07goHdMjqrpiayDqVA8rhzUasPjGN83RFkCuvg/OG9G/raYmBFOedFwzLrCbnlNfkf86KepToWJ3LVKTU17ChqxpS6XAKDI7RQiWHIbvXyAjFGgrbQVW9OqOgoJ87r9D0eIag6HPf939xRxB/Cvw88C+K10+MrP8VpdQHkeDk+vPFHwCIE+ypc6hbDqDXe5gnz+Nyi4kiBq++sVK43vLfVjbFGVwY0N7ogtacf+eeTYrXTouozPb7UoJ1gfbFkyFTT8rVbjy9hKsF8OkC6xD4LL18msVX5tTP16gvSUqsfbaGF1l02qb2pz7TV6hQRxMy7GxdyujN+bTPxvhdSQnMfnOZqccbeN2E2QcDvO4aztPo/gbZVyYY/xenrlLJdgf6BA83K9/O1Tsy5u9rYhIBBZVoxtpKjbymqV00NM9rggJchlKEa0r0EQtviOkHNKNd1eTR3ube7nOOdLKGGWRcntzH68x+7vud3+XQ77+/Ul6KdybUT0j2Y7AzJVgMmHzCp3XebnLDckaR1Qy11Qy1LMFMnTmUlThAsJ5RvzgoVKGaKOsx8XSPM29tiUhsWxy2o2mBpHsDeN1PfYev/oc7qa0IwlJnjvYZaXzDjsVEDm+gScYUjcs50cBUcZJwVdKvftcRrqZs+YZH41xfGtfAQzlH/I832IhC1KemaF5q0LgsCttl9sAZMImkTlECaLO+Yvn2CXrbFV5PprDxjgS+fu0Pkez8BW7/51yet4FQSv0JEpCcUUqdA/4PpGH4sFLqbwKngZ8qNv808HbgGNAH3vPfW8HnUri+sqzeMFS8jqY8GgvpC0qlbewH0zPEM5bohhS9GNC4LMIH2eQzi8x6satcvcrvn09otiyPf30fc7cvcMf0ee49ewAXe6QDn+AV63TOtjEDhW5kJG2PoFMa58r5dLd5oBBp+pEi7MuiIVEylL5SgPa5ik7kwTj0++/n6P/4W7z20R9nV3uVfuZzdHyOdj0mWhpj76susHh2F7WzpUT/MOsxeczK6KQcBXZh4rgEH0cbprHTsfTEwM++84v8uy+8gTtf8TRH/uwQ5q5Vfmz349y3cID7PnTnphu1P2OYOB4Xmh3ltCqnVtjQjq1nFSqznKLoVOjZtfjqacDSl7YRrgj1PJry2P6VfjGCtaI9UfMEVl26fSs5tzNvaZLuH+CdrpHXHPNf9jhz1d6fu/wgU5jXUq4li/HuZ/nqTc+wrQN++UXVRF9hNoOk/TaJx8jK4aLVUBimJbx/kIekFJLxe0O7eZR8l9XMUOKu6GVRimBdoWMY7EvRq77oWabDXkvm9Y6hqY98tr7IsRnthsIvZSmOXT0YRd11mqNTuHh8lponIjTzW9ZYWJ+if7GFv6HwBop+YoRbkIqRbnW50iKnX+poFqWUictDXWUfTGIrDwzR3BxeY9mZBBRRYNJCKUrDax/9cb5y+L/wS+fu5ujKHJ6xLFyawCz7PL20k8mMsr2qSnmtbQ1UNjQ1LrezgcGMrCsFcP7gsbs5fOdJ9jaXeSKDNDN86PE7ecuhJ7hfbcHrS+ajtuLwBm6oVTmyb7SSKWlxLkPZwKJeevQ3xXtHId4DtaViqlRuVt2T5boywC0/1Bn4J2q0zsLyXRlO+fxFK9cXktKUSkqaUWetoXjpMyxQPCSS/x/MydRiMO1VWgbVjTLyh5e/qxSjlKK7OxeiUawxW/uS+qxpsrommjDVPHZ0kf2W68v6jjZiw5uzFDYtHyKTKJxxHBhb5JZ95+knPipRzO1dJt0d09+VoTxLXlOiETmy9Oc08cRwf9VSqWONvFbHHb6/spQ3fun6pVPFrvYqv3Tubn5nx9eJUo+37n6CA7sXcMYR7OyRjI+6iHHFQ6me/TPDOpel3Rrw6JltfOLpw0QzjpdtP8OWmXXqOkFnMnpSmQSa40ldPbSlcKzb9FltPtfqIR/pFBipR6UWBYP5orEd2X74WvyoUP6Kp8RWIGkrzIqPfjH+nNc5kvL6IGuVJS+VlGwVnBxVeHpWzoUTi/p6Ee33Bjn1ZYEhK+MwBSdKWelZqws+sh/lHK3Ths7BFDyHOt6k1ld4UY4XuYpHEFpbMQyVdUQTYgLj9xRJW9MYZMRtNdx/EeTLfYMXZdW55IFhsDfh1Tce43OP3YJZ9nnT6x7i/MQERx7fhb+i8QaK4JUbmCjEixy5P9SQCDoiJJu0SlOb8hwhaWr8QXlswQyUaE8vLohXV5RSMcoGGmsk5tDPfI6uzHH4/F4efeUfs/fj/xMA226+zHyjw3HbFneq1GE9YWRaI+IpXqEChYO0ZarRTKncpJwjr+tCUzSjHqR0zteYvn2BjaU29z9+kH17LvOx79yJN++oLyrCSHge4aq4qaGGQVcodEWdq1TByymG9RU6kcyLMwqdxCPn7RjMibZp1nCMP6XIGx4qK+5FBXld47xidKJLhXNL85ymv80SzYHzHIPpFxekvJ7L9dNAWLe5EQCcewb5uU2yckVjorWAngoeQB5o4nFDYyFF53ZEoo3K3btKiY40Mt3DMWMPhaRNiG6ISQF70ifxC7n61XyT+pOyUFvLyQNx964VMnG1tZGJZZmiLXPkRd11nNF8qsnXOjfS3Nnh9Ycf5dPfuh1/RXPba0+wo7HGuf4Ej399HxMWBgXHIvElDz+YFwm89pl8Ew07DzXhhpXsDTJ9CjquokKb5IrGFYrsgCwmzjG5o36iwdFxmVa8fc+RSuPyc32fX/7Ie8lvE6XwoCNPpylDENpBJCMpVUjU+Z28Gs6X/zVaxIadke0unJvCdzLl8l/e5d0HH+JTp2+hNdvDPDqB3xXKedLWbOyHnV/INsUggGpqpzP3rDEIZ/TI/yBvGxdFhDZtKVZvy5l+LNsUg5BpyNUxiM4BQ+Osh9eDtKVoLL5I0drruFxfU4zvQ7lSQu65JOVA0IfPvi+9SQ4OGCoeFcazz1ZKJaThZ0/mu/Wrg2Y7GmvVa14fffifOeBaqS8Fqog3qIrFeKVd3jOpQm3al6+rurbrMRsrTR5ckcz15/o+b26k5HXHRG3wXLsp9BLcpvgI8JxYAX9DoaPN9YsGQ5KI7PPF80auy/KXU4xrLEUe2RmNMkaG/Uq8M52ncankySU+USxGV5wEnTp0VswVjbDxsqZoGZYBSWeG8YcqVqA1WIvTmvBESP9AQvPpgPBESN5wlRiI08Ix0JlD5UOpsaSpBDSVONKGxu9p0kbRUCglcZWRV4lVSIwl3hcxP7PBykOzfO7Jl+JmM/L9MZ+5/w5AEJtuKkfnBt2XntEk8hoeFWxBqZdY2uFJPRUmGQbhym3KUp17de0Fo4CW/L4NFIOdKdHSGGbZ58TadrbdfFlGDnXHiZ/8bW766s+irezbxAKhNrHwFPJQ4fUt5cXO68OAqesoVBEnyEMBXZm+QgWWcM0RTymCB1p87Oiriedyapc8BvPyH9bWJWs0eUSRh6aIOVBxRMrRiDNXjyAqmLZRlaYEChyK7r4cd9pgfZj/qoDClHW4XK5TZeQzcv1U7pj5lqG7E7p7ZLoRTT5343tlUVz/U4zrZwRhCy+MvIRJC9Bpk0fGlUsBN+YZPDNKvww1An5S+chSKlYXv1fWEu+LMSs+1kC0Jav8M8rF79vKr6L0sQh6rlrv92W935cF5ySuMvIqdZEYi7kQsqXZIZ3JmH3pAn4rwa6GHL7zJPU9HfJdESrWWAPWSCwhbUhd+lsVWbPwrxhsBlv5fbfpc7nN6Labp2rFML24RiayBIseB3cMA5LzjQ7Tty1y8PBZbvrqz/LEq/+QvO6q/ZmBLfbjKgxBec1NcdzS56KcTpZ+FMo5ao1EGqeGZTDnSHbHvPH2I0RbMoI1IcRZIw1gNK0KrQyLjm21HxPlmz9vWgoNi2R0uioxiNqCIVgv1M+3izCwSkQgV6fFcRKLLrwvdLGvwZwir4knR8nbeEHF8ReCzfl9LxILsKg0x/kedC1Y4VKYyOI8TX+uTeuIRNdUN4LcovoRzsoN1rqQ09tqMAPpNfpbNNFUyNZ7l6vj1LvJMB5h5fdoLTfLICY8OUP7lCPs5Gx0PcAj6GTkoWJjl2HbfeubK7422q0Mb46gEJ8hy/EvdwDw+xIYU56B3OKt9Zk42uDY6n7GIlg5twU/hamzlqML+8lrDgNi4rIqZKTWhQKgFSg29kPezNn2pd7mOpVNvmVT7zpaVJoPrwPS8/rrUQWfxjkmn/BZPLuLyQySc+0iIAkbgLZw4xPv58n3/hZv/9C7Nv+Xlb8JVYB2U0kK6LpSmHJEaDRjH5+itpzSuGzozyo4VePBb93GdOSor+QEGxk6zknHfJTTBOfXq/1U1748dgnJLmIGGC33S5IOt3EOHQbgHGMnG9SXcqKOIWkr/Itrm+I0xvc2MTVlBGGZfLqGiSxpU1zC/Rche3+9xyCuiwZCBQFmdo786HEA0te9hGCxh4ozGt88Lr1tHLP847dVfP7JowNsaMhrmnA5ZuzRJcYfSHBhgOoNaDwgN+LZ99xAPCEsy6xRKjnB5FMZeaAJ1jOyhoiA7Pn4Klk7BKVoHY/I2iH+sjyA498ccPLndzHYndKY6jO40BLZdQPOt6hc6tU8a+jekKLrGfOfbNPboqmtODq7FH4Xmgtyo8XjiualnPFTWSVln4eGaMZn+/3CINWJJZoJaJzv0wCsb9BpjvUNU9/cAKU4+TNbiGdz3vtD9/JHT72cNPHIM41LNLrriWHMrRvEkU9YS2nWEuIvz9BYsKLZMAljJy1JW5ix1oO8rmidtwKCUuAWFGlTVwHJUvb+7R96F5/+/Id4z5kf4jXjT/MbD7+ZifaApeNTKKvQcxH+4w2igxG1YzXGX7UA/3GOPFB0dktqOplwtE6LL4kNZWo4fiolLYxsVC4xlLRlML7GRJZtX+lw9P2zBOuaN7zjQT7zyK38nbs/w7/5o7/KX3/XfXz0T15XcXaclizHYItl9gEYzAotXacQzVkmnhT0ZR4qaqs5YydjzrxzG3kNspZj6rZFltZa3LbjPEe+fAPxfMbszlXSz8wydSSWjM2gyHYEL2JAfp03ENfPFOMaSlZT1NYttfViyBjn+BuZeFY+S8lDxFxm3VVK0sG6w9/IJbr+Ikp/pYG/rrE1K8YxgL+u0ZHG33CYNQ878Ai6OWkLgp7Y+/kF0Km0sjfPIGl/ZVDvmba5suhI8dDGDqKFJu+86SH0QoiKDY3dG3hdGKzVUAshg7UaS5fGhIfSF/aj1xumSKv9Jc9Qj3RYj9E6lcpU//ninaQbIS+bO4uONXtuvVD8Duj45IFjPJSGzy8ctr2eKFwLEEzSuLmvCh9OV4HQpE4ybSw/ez15/eKJg9TOBvzhGZEdWUxEqad09daZdArBqqhaZ/VCgDYVrIfXH55LKUIL4Hcga1gWzk6iz9R5+MwOvAGYnmbxzOTz/ifXWr6XXAyl1FuVUkcLwaa/+xzb/YRSyimlXvZ8+7xOGoiR4W6Be6iIObISrMXvO+K2Jm5LpN0GhrTtoQfZpnRl9RvADCBpO9YPFKrYFro7IG0belu8Qv9yxO+ywANU70vnK4r5YJATjMVwQw+VF85cuYIbejjf0dkDdi5GBTmdHR7BBnS2G2EczknKLJooPCA8VUSph1iM3C/XyXrZxl19fuV7C3kr50BzkTfc+TgfefwO8nZOe/sGvQttertyDt9wji23XObwDed4461PkjUU3a2G3jZFf7ulPytMUBH1lZHWaD1UVQ/5bANV/WWvGX+68t2448ZTHFndgrJw+uFtbJ9ZYzDrmN6ziokUO5trOAP9Oc1gq8V54lERzci1GFWyLuM+JpH/oUpVFjEE54H1HNum1slv7DLf6ICDJ9ZEDEYXTM2sJq/R9pQ8FP9OpyGedOQ7Iro7hyxYW2AdnAfRnMN5jt17F0nHc+qNhP6OnHw8wxtPqutSOZ29gAf5qlv/e5DFUEoZ4DcR0aabgXcrpW5+hu3awP8KfPNaqnedNBDf32KK1FmwvvlKl3Ji11p0CUZ6skWyWkNHWuTi1zVp5KEjRb41xg08zMVQ5rNdEZgxiatk3qv9pVcHCK6Uln+mbTZvDyrWfPCRlzEfbhAcq6MjTbsW48Icf35QmdqcXp3ky0cP4nddpSHpdYsh98goQidX12N0RGFGsCC/8fCbOXpsG+889sN87MDnOX1WZPXqlzQL623YPqAVSvzlC0duJG0o4nEZAZS9d9ocjhZK85zSVTwvRxCpMDyv1IK8vNHixw89wneP7gHg9JNbRq7dSP3bYrnnDYR+r1OF7fr0t+cj2w/POWs4TM/QS2QoEh0fw/kW/7JP1v0eQaqvtXG4tobnFcAx59wJ51wCfBARcLqy/BPgN4BrMnq4PhqICpqsJQXmqQrOWq5HC+rOFdoGFbTZiBJRme6sXlUx9O850WToiR288wX16LSieclWVF1rCsi1lpTk8H2ZTlXoHLzzIeFLViGw2ECG6CpXuFyQj+GJGljI5lIalx29HYr6okTIdU5BiYZwzV4F2362pUrrKoavxbVRufhjbp1f40++eRdveMeDBGua9UGNcCzGnmxy/tQMT5zfgnWKrfNrJOOK5kVHsIGYGRfMVW8g9fQiQRwyAi23xedyXQkhn2gPeNsdj7ISNdn7mfdy8m3/FhMptr/tND+y/zHU2TqX1sZQFn7j1R/BxNC4XFj8GUXjkqhAXQlXHy6MLMP1/oZoPvQXm3zik3fjNVOhu08lI1kZCq9R8J9qCCN2QjHYlwi+xDjGnzRDKnyR6jUxtE5rmjessXx8isYZD9uw1M/55HWHv+INU6jlYhjye17Irf+9y2I8r1hToRG70zn3qWut33URpLzW4kUWL2ITIMnE9jljEIN5xcRRaYadhmhWFVRqCfMnbS26AM9gCnPVvl7Rg5MN9OcmmQDyOqy/JEH1PMYeDRi8okfz/ibJuIZIU1vJAYPfs6wdMEwcyxlMa+orlrX9ptBy3PzvXwlkStuG2tKz12nsTZfYGNRY/tY8IfCVj7yU9LYB3tcm0DXwI+hOgDlWJwrqpMk4k+cEQBWuA6cE35GOAUrEXkRnwTB5bFg366uqz8nDIjAHLB2f4nNHZoRRCdz4e/fw5C9+gNv+1T2cDXcTWkifbHH4HUf5hx/6acYRr46ZR+DimyTqP/GQLypiI5ciH2Hhrh7SzD5sN4kD7fwrp4lzj9NHtop0XmKo3bkGx8aZe+s5NqIaSjkmgoS6l3JxYwyOTdDZn7PtvxrAkjY8dG5Z2+dhfZh5pBjRvHqDwXqN5tcn8SYc0ZzF+ZbB3hylHWlk6O6OaV0MiccEa4OC+Fm8Y5+rvIBpyYxS6oGRz79biC5d23GU0sC/Bn7hmo/I9dRAjAB3/DXxKsDoYvQg6aqkpRk/FZPVDKaboDIPnWTYml8w9dTmV0RbwHnQuJxz8W5D87zIoQWrCTY0hfiJw874OK1RmRVdSq0LYNWQ4NP4WhOAzl4nPheTjokHA3o7RAym8bUmtVVLvKJJxh3BesqF1xh2fT6jda6Aa685grWM6ced5O3zAryDzIH9vkXnltzXYBThSlqRhFRmCxLWsF6dz8/jxdDfZxk7odn9k8c588F9dHc52Nuj/qUm7ac98kDUpa0vwd76Yko86RFPiMBs1vAqYyJnlOg55MLKdEq4FcJBcHj9QitBg7KK3Xec5/TD26hf0mx/22lu+1f38MivfYCD9/089W80yeqKI588RO3uVfTRcYJOzsZuj5mvewVT1uJFlnjM4A0sWSjXAQSpOnWkkBtsa0zRy1/41G7MABpjwuLdsAE8FpLfmLD8iR2V4Eucg2g4SGzDX9UsvALapxXxBEw/bpl8Kiv4IzlOKRqfbTM2cCy+ZUDj0Tq1Jeht92lccAzmRI0sWDciTRhL9sUpRW35ijnktZRrbyCWnHPPFVR8PrGmNnArcG8hjrwF+FOl1I8550Ybnk3l+mkgRoJv6USIjlLR+HMFccsJvXbtgMiD+d2APNTkMyHhUlxts+kVUBmsHYL1/YZgQ5E1Rf056NYYTGva5zKyhqAfVaE9qWz5fnNwUOUQzYLe0UffkJCdHhfKb0fRf1WP4OEml24qxrbA0uE6jQVYui2ktuxYvVEzfsyyvi/A7zuaF3JRriqKzgQFSO5Qhur1yl6mAjoV5xePg94SsTZpGCzMYSYUd73+Mf7b0wdYuTuB2LBtzxIbgxo7J9Y4u7KHeCokbUE8nYv6tFYMZgreQe5QywXQKlMoNQQVCX27oHFb0HMRZy5PsePwJRZ2tTk8cYGz4W4O3vfzPPW6/8D+/D3snFtl5bPbeOmWczzcmqC3xae30zL1mKI/L85mU0+UYK9iWJ2Pnqu86kIBC+tEqNgTkZ3+dosLLF7fh0xXVoc6hcEWMQVau9HhfVfTPA9rN1vWbnbgO1asz+xDaSXKq5xwMnpbFa12xMYNHtb4xFOWrKlwypHHhQ5qmWXIAe1eeJDy2uML11K+DdyglNqLNAx/A/jp6lDOrQOV74JS6l7g15+rcYDrJQZRIdsszjpU5jbJi5VZjPpyhsrkoahupkKGbZPkXPkbwO87WucklTZ+wlJbdoVWoxP140LerbaeSyNQys1V70vEpsPviSJ2+J0m/ScnaJ/QqBwalxzudAOvB8F0RLjo0TrhkTWgdV6QgeFGTv3yUG6tQhpetVy9/ioE6Ujmw+87vAGEjzQwSwH+t9roDL55Zg/hiRrvvv3bBMuGpfUWg2PjPPXAbpoXLZ1DKd4AmudkFBWul8pMjmDDFXqdV9ZjZF2R/fEfb1B7qMG5h7eSpoaPf/4ulIX6N5rs/9J7OP7GP+CG8UVMBPfffytpW9Hdn9G4qPG7Ih03FJd5putC9T+XDYWyDr8jD2ltSeFqltbTPt4A2k95eJHEUYKuiBSXD3AeQH3Z0jplMANN7bxP/4a4apBKiUMTOdAweGICf9lD59A+qfE3FM3zinBV4hSb6lmcwwsp6gUsz/8IuQz4FeCzwBPAh51zjyul/rFS6sdeUMVGyvUzgriGEo8/N9HqmUoypujPu+L3RS/5DM120tI0ARs++yUZzIoadDpu8bb2Sbst0Iq0CXpvlygWS6pkT0S6GtA4p0maBQuzqYmmRA4OCpeuloff3UxgStoaEw3PM215eB3JAthAplSjJZoWYdxkJkPVcgY6wOspXrP7BPefOCz72BHzNw4+xEe5ndnxLoOn5zEdQzzlsL6jfUI8P8RJSsxidOagy0g9DH4nJw80eV0LtBqIDkbQ8Znes0orjLnk56RPtsjqip1zq/zi2Vfzezu/ys0TL2HypmWyUzOYriGatYSrirQl4sNp0xTGvkI4S5ulPqQqxGKNGPwW3JhkXEY38WyOCnN6ezXhgiEdt9QXhLLutCNrOry+wgUW6xuSliaeduRNS960qK5XucZnDUMQZ0W615FtTVDGknfqxBOiMyp6lGLka31dYTOcEk7OCy7fuxEEzrlPI6puo+v+92fZ9vXXss/rpIEYXlilBWdfZTFkJWiN09A+m5DXCuVjBV43wdY9zNowVmg9usgAACAASURBVFD9BuhvUUw/LkG53rwm6EBwDsLlhJlOTtaUG78UpBkKjKhKgKQs/dsHNB6p0z6l4OEmyQT058UWfvzLTdZuyZn70warN8lv5h+I6OwM2fHllLX9PrOPpHS3erTPpnS3+WR1hd8b1nkoikN1Lln9CmLVFe9f/xPf4dPfup3W0z7gg5KH5zv/6Ta8Mfjsb78abw984snXoENYjVtMLueMfS6vUobWd6wdMISrjnhKSGDKGpGJU4wIr1DUc/i+dqxGHjh6F2foITDsw+84ypFPHmLls9t4INrGzRMv4cgvf4Cbf/MexlcsY6ctNlCc+9GU8GxAbWkoRV8J6oyogC3fptj6NTmwUxKPsgd7/MxND/DBj76e4LhhMOfY/8aTHP/SXt71P3yJGa/Dn12+jfPr4+yfWuLBR/YTrlmWXgpb/5tMB9K6xosdKzdKgzz3oNC7D/zVpzny5RtoPxwKc1TJCCPbEWO1wz9eZ+6dZxj8P9uIx4wI9SrY2PXC05/XO1nrOmkgNgOl8tBg1rkKKKUsdHZKXjpcLYBSYz7hUvTMQCmlaVxyLN8id1/QESeqwSzU1gIGU4b22YS0bQqT1gKUwxVAqaLUjtRJm5DcKfDr/EyT5gVFNA29N/QwJ5ssH4Z8q/T4q4dCoilFPBHgdx2Lt/mMn7B0dvgyn7YMpwuUgBs3vBzOcaWB8ZXvv/jJO9Fth37NKp31Oi/bf5pHvnSQ1jsucf7cFNG8wZ8fMDkuw4HXzh/jz/7wNZjYEE+IHd7Ek2JmY71y7q6oL9uqHgpXzdGlnsP3469aYDyM2Nlc4wtHbuQ3Xv0R/uGHfpra3au8dMs57r//ViZvWubm37yHI7/8Ae762+9jY49HZ69l7JGQZFyc1cMNAUk5XWSmvFIiTxzMRe5vCJTST7X44JHXE8/mZE2N2t3j+Jf2Eu+L+dAfvREdSzq5v8Xx9OIUepfFGUXjguLiXx/ApRA3H9P8bp2pJ/PhtbWOY5+4AV2D1lsuceH8FK2jAclMjncxJK+Jl8jlj+1ieiMS7EQBs649/SKClD9AIta1FOWuJNP8AMq4P+de+dJfwT0g9p/m4H46N08z9uAF3Oo6Ls9xSYq74xAg04DFO0S4YctX11Fxju70IE4gDHD9CNJCyfrOAwAFfNdifU3a0rTODkgmQvwNQcU5T+MvbIDvYWseuhNhmzXMWjHOHkR0X7a7qrMNVKFcJDdvCQHOA4ELm9RRW8lkCBqU9GfAOnQujWCwElVOUQAuNFhfMjTO16jU4nyN6W3GQjvfoFeFBLb+8m3DOnmqSLmJ0pTKBVpcW3OF9ZxAmsO1nKStq0xBiY5UGUW60RGsi9u2DUS5qWwQKocr6/AWO6y+bE52YQqaeSHWpHMxOUrbCq8PtRWR3v/Gv/xtXvWr78PEEsOIxsXOLlzNSNtGyHmmUOVG+Ck4h9fLyJoeOnUESz1WXjJZZVbSpiLoWLJaKdYr8QSTOunhU1Hf+plf/wz/5e+8uZgqSAOUhYr22VgySN0UHWV097XJi+tAIUpjEmGTllgWlUN9IRKD4KIx05nlS/f+/e88T7ahKo25ne7gu371Wjbl4f/3V695v9/Lcn2MILTCXFyhnF3n43XaT63RvW0rzfvWK41KW/eIpmUEMfftHi7QLNw1zsSxhMaTvav3qzR5qImmDIMZzfSRhGTMEE0pFl4hKcst39AVAWxqQYa3qlA+Vml+xZAeoklDHkA8pWidswXF27F2k0frrOXyK2HyMeEALN3Tw3x+kvyHVzGfn6S30zH1mCOe0JjIMbOwuftQaY5Jy2Pb6nVUuxEY6hkgmY9oXLQM4glF86Kt2J6TRxyrt1vGnvCISrs9X7HwSnjPm+7lj5+S+837+hjBhhNBGisBvvpFEYQxo4G3MjNUisMiDaI/cPSnNfG4gKCCDUfQyelt8enuyzBdw9hpy8Yej1f96vv42r/+bQ7d/3O0v9Akmlb0lGHnF/pi+DOaOQJMT0xvVJpjeikql/8k6Mr0JzdiohN0ZZ1yknI2iVC080Djd3KifT4f+3tvJq8rLr4WfuUNn+N3P/pW4h0JU/8mqq6rKiQF47aHLbxYa6sSyLY1LaK+TuH3crzVvkx9iwZCZS9iOPCD75+fs1wfWYyyqFIzbCjAOlqSMb9C1ZXFbUJcjmIhZKO8punPSfyiu9UnaZfoRFepOTtduDiPUpWvfCiViMUmbcXaIejtyOluExRmNGUYzMoD5vVkX72tGk9b+lscvW6NtA1mf5csLM5LUSETq2VE6HbT8qzXS4hNNoCNA+IpsbFPkJbJbEZ/XhMueKQtCawOtjq6B1N+7o1f4UPHX8p7b/wa773xazgtwqt5CDYU+TRRDB+JjRT/S6X0XGAxOrsVG7s0nb0WGzo29sq5bez26O20NE97oEVQprPXYmLHoft/jqM/9B+LLJIcs8R6jMaAhrEZrvpf0oaM1OJxGSl1dgq/pbPDq3guWd1U6lMqF/GfeELz/jd8gf908mWk+wfUzlwtT2V9Mf2JphRxIfXX3WJI64r+jDB/rXfFtblChPday19U45zvTylSk3qQFjn3zV8r66gvpgIiKkq47iTifaVWZRGD6M1rxk+K6MdgxgMH9SUrdns+9OY04bqVCLQT6zcAFaXyvl/WzXH5ZZrWaZh+VObpacuxckh67+lHHWs3wOyDlvX9cmPWPjaFuxEm76ux8pqI8XvbdPY5Jp+wdHZp4tkGwVpcjVhszZBMBISrhXZEnBPPN6idk+mE802hmWGqOiU/t0Ln4WnqFwvjGq3obVdMf8sjD2HshKO3TdF+2pA1IFzy+chTrydcdfyR/xZxyM4ca3fFBKdD4jnxPQzWm4ydjqsgZV7XleBsHmoRYXGuQINC85wWFy+juPimjJmve0w9pvC7kq0496MpY4+EKJfR/kKTl3z9Hh7+2x9g76ffS+1sQDJVw8QyfdGJJWvIOerM0Z/3aV5M0HGOMhYdZ6wcVqSTGWNHfPyuYzCvuPj2lPZ3Q86/XqGswbZyvBVFNu1oHFfklzXdH+7ywX/zZnAwaUUEqLtPGKC1yzHeRsSlVxqa5xT1ywJBF1q8jGSsL36sawc9dq83SVseOivc5jXw6Au951/g9n/O5ToZQZQ9RtHrNwOcUQSryaYsAhbiSZ9oWpCT5VzYeqoQHjHVdEQyH6LTmDYUG7s8vEiQhJ3dwuCLphT9bYKHsL6qJOxcxb/QI/L2gv/PmpD7wkjEQTRrUQ7684qs7VjfZ4imJNAYjyvqFxWDWQUdX1SpOorBrCa/vTPE73talkLyrTqmJyCiaiRR8iFKhKfWrD4xLSa2DejtkEZ0sC2jt12uzfpBGGzN6e1wZC1HMil4jmhGFek8WD2cE5wSQwiVKPyxhNJiT9KFEt8Q3stwQWuSCbmmg1lHZ7fwZEDm7MmYYmOvprMbwrMBybiY4kbTkrrc++n3cvLt/5as4YZcC7P5GpQs0iHnQbg26URO7YJPb5dl/aCQq8KTIVkDaouaxkVN/bSPTqF2LiC6ZUDaUPBkC2vEji+aVmzs1kPAUjFqCZcVa4czkgm5Pzb2ynlZI+zgUjB4WCf1rOI8z3vn/+UI4hqKAjwjRC2rsaFBx5KlwBjJqClFMm4q+XYbaPLQkNUVujDXUcXDXb6CaDD05wVdV1uVHtbrDj0dvZ4imRAhVGcMapCi9PA9puitjSFcEwftZFzwEFlTMfWoPJSdPYrmGU3ahmBdEWxANC0+oFnTEV42JOMQvHSVwRMT2NMtapc2Nl0GHTvql0ao60DtUr+68VSUDV+Lxqt9UtHfKmCpZEIeJH/NYD1HMq4wA7CeRieQtR3hklyLvAbpmBwnmI6ITcg9r/4SHz51J6tPTDPxtMR0ymGz18sqdSjTLxSrjYyodCpTiLQpD/rEQz46k6CkAIoUtSUn59+19JQhb0HtbMANf/h+nv7Z3+ItH/1Z+e9yW8jjS0ZAOopYgqOFlynA1HcNaUsUqdO27D+vSeNX2gMoC/1ZTX3ZskadcC2jcdGILogVERkzULROygitjEH4XcfYUY/akpDx/L5kWLrbNOGqo7EgAUl/qYu/UsQglJKY1Qsp31sk5felXBdZjDE95e7y3oLetxvVG+CiSHj5cUxy902VuhTOoeKhahSBj+vKHGDlzfs3qU2l4z7hcoz1dAU0ysZq1cMXnF7ChT4qEwSl8z0uvH1rpUKUjDnCNcXk0QwTO/Ka9GTBxmYFqGRc5rz1xUScuJcSetsEDj7+3cvYyRa6F2ObIboXC98jTrCtOmfeMX6VQpWtiTpVbUHIXL2dOXPfUAQ9S9LUIsDCEIugbBmQq3KSZDVRfCqzDzZQm5y1Guf6YnVfFJU7svEaepCRN32cpzn/+ho/+84v8geP3U27NaAepFw4NyXbB5ZaI2Hs460qM2K9YVan9MUo0YVpc+iLUVtK8TsJTkEyVcNpCJciPvvxP2T/h9/Ha+96nG9+8jDjr1ngvXu+yu+c+CG635hF5dC84OS/CBT1lbwadZQIxpJNqVNX+WUIU7PgkPTkN343BeuwgdgfnH1zk2ANOjfkNM4aZr+bCCDLFdezbtCpNFwlF0bnjnNv9Ln1Vcd45Nx27GrI5MOah37n164529Cc3elu/PFry2I8+Hv/f85ilKgbr5wiGECi1V4nGRK3RjQMq6mAHqYXJ04URK5eihmk2FphKV/Y8zlPoaOC/Vna+VUBOM3Y6Yz+nGF9P4wfF+dnr5djUou/bsmaBc23CFCJ3JjFFhZzXi/HeUOiEaOEr6zQSfQ0JAqV5wTrEDzi0901RrMgf5nI0LgouAQZpmu8WGDQ4YguYrCWChelbjbpGOQ1qZMzinhMPDJM5CpNxcpURg9nlw4r19LTRTAvw+/Av/vCGzh850kePbONzvkavhNp+nDN4UyN2nKKDYu0bmFoKw8swnIsIMimwAqYxJG2DV5frl8Zc3BGs//D7+P4T/02bzryY/hduHRuin9+5K9x4I6z9BNoLDh6WxXts47GYkYe6uK8XUUiywNphJwrwVZi0TecpkhjUaqMYxQOqF2W2MLkw7roIIS+XRnleOByNezsNTgnatxPfv4GJs87ll6Wv3jBmOu4XCcxiOIqZXnBN8gr0lXWDiQoV3Eihq+q4EhgCyr3tE/WlBs9bwQid26UEK+spCOrYeqVZjzWEk0Y+lsUXqSIJ0VZqdSLyOte9V5lwhcpe8wyluA8jcoKaTRPFXUs9u8VDVxWKCIZmXKs35aST2Qk4450IiedyBnMO+IJidCLzb3EAbK6rrQL0jGPZNyrdAzKpWoAcoc/cEUDCaOaB1fyOyo+S2ar+X/ahjtf8TSHxhbww4y52xfIxizxjGVjH6zflJO2zTPoV8gxREFbuCej35vIVpyHcv6ucstr73qcNx35Mb54859iQ/DbMQfuOMu+9jJpS+JEwbqMCtKWKYhtwxGEM5JaVjlDrk7xqrOht2qlIJbbysktmpNMSjQjMZmKa1JuX+6ncn6Tz9Z3xIcGrB8E1co2UdSvtahCSez5lh9UuU5GEBRSc6MowRFi0ihxC67eTmlaFzN683I6jUKKLlyKNjEfcQ4TZRXfYih9L9+vH4Dpx2RoPpjRdHfA2ClH2pQHsQQPlUU5kYhXVqPjvEJFmmgkWlXKycXppnroJKN11hGs++ShSK+NHfUINhxrhyB6lQC0xr/YlLz8hIwUcl8EZAcz4gbVupBtUnvKQ8nVW1PIuLlCDcoNpxilVN3mP0BedJKjrKN53nHkzw7xRAb5jGNjqY3/cqlT8ECLwZymP6sYPyXOtyJfr6phfhaqinhVeqSaWBognEMh2QrxsoBvfvIwfhcOf+4eHv1bH+DAvb/Ase/s4rjdReuSIlyzWE/R3aHp7svY9SmhcDvtqilEVlfDB8qq6tVpOT9BqqpCdn8Y/AtWJc6gMli5zTHz6PD/dZT7LNcV18o6Zl6+QO/TW8hr0Dhfu2ZX903X/DofQVw3DcR/b3k2IpcNPczIfPu5yFgg5K54UpG05Z8blTh7JnJVOmZkiB0Z0pZHuJKTtqQuoyZdLvA2BbGcbyryl7uxiwZ6pkkUg947BH2t3ewIulKHtKmvErZJWxqbqGEMAulhzcDid/PqcylEYxOFv/bs5+98g/Ukwm/uWiXNDHdvP8P9jx/k3QcfAuBjR1+NnYvhVI20KQ1X6dEJIvbi90djEDKds56mvjSEI2cNGYF4vZTx1yxw6dyUjBzu/QWOvf7f84tnX03mNA987DDW04RrhfpV0wNEw6GMNdgX0XsP6yFp63gLqLkIuHZS4MZ+S/O8ZuNgTvCd76tgzA+kXCdTjOunxOMv/kZ7ocUGwvysPtcs6bj0QtnFBvZks/puNM5gEvfCTVpeYMkDeMfux4kjn+PrM+zbc5lPnb6FT52+hXgu5w2HnvqeHu+9e76K2TDsm1uG8/WKBXpyY5rclxgBSDzjuRS2XkzJmoWQTtNhTtWu+XcXTszQ2Nmhu1c6IPtiult3jcsPqFwnDYTYsQ31JEscg96sT3mV7uQQO3GVXmWhVVmpL5X2d5XO4xDfUKIC/Z7C7xV6iaV2ZeHUVc7rr5xzi+Ufm77XucxXr0J4quG5CN9ANC5rYUrSC8AqghVD0gswfYU3EOizNaoSSykXbyC8AJ0LmGhUL1Kn8jmrC3hHZ27ztlegNStkZJkVyCRtet/CAd5y6Anumj3FiRPzWKfo90Nqlzy+9NDNRfBTEKQ6hyzUFVI0DzV5TZHXdBWb0LlkfpwWCLMuHLSdUfzOiR+qYg7KQuY0r3/sr3HvrR+XTE0MaVtwGSZ2w5iKUtX7ink6ohFZbWeG90WFNylQmyaS6ZDXGfldka0okbaj6yqWbz2nf7FF44yHa+TXqh25+c7/SxzEtZSR2MJorAHJvw83c1cvRVHWMXYyJa8ZTJRRW8iwdW+TYtMmKf0rxT2cY/KpnOVbDLUlx/gJRxZKJsPEOX4npb81xItGotVOSGDWV4USkSbYGNFTfKbgkh2+du8U+njwiQlmgGRC0d1pmfyWj4klXrB6kyLs5OjE4Xmqijc0FiSSv3owoLmgqumEwpGF4vRUzpfLKQ+A9QxX9pEVi9RKpic3mtf91He470N3cr/ags7Am3eYRydoIkCh1jGP+oo4m+MKolhxvNVDIhNXyeR7QtmefgS8nqvShf15X1LHqzHdb8zST+BkS2IOD3zsMLkPt3z5Hh7/nz/AHf/sHvyeZHbqy5aVGz1sAGOnrMjb1xWdXZqJp3NWD3kViU5ZGQ2FKzB5zNLb4jOxkQz/f+d410/ey7y/zu/93z9G44hl5ZBPbcVVxC+npZGOJ6VxaCxaoinN5Dcdve3yAAcXfXb+wjEe/HdX/+XPWhwvqlH58yzXRwPhwOU5aqNLuncL3hOncLnF5UKIWb9lkokHLslNnKQopXBZhlIKMmlAWhcEiqtzx/nXtdl+XwdvPZbMQiTzXhN4w4c2y2TUUmROFOD1csaPiViKN3DoVHH6RzX1cz7b7+sRrmboSPwapd4Oz1dF+jQnXFXoOMPvyXhYZbkEJ9MMFWt51RqVZugkY+L+MXTpBZFKFB6rCToWk0oDUV/w0Pdc5vL92xjsEVZncMFn1+dSvChn/GSGTu1wCqIAS+VJiZMRUBlL0alFJdlmUE8uPpQqzfG6KdbTfPU/3IkHeH1Rfaovqsr4x2lVKE9lklFIXOFbIRmT2YeL1GqRDdCZYevX5GHwenJsBTQvJgW0OhdlrgVH2i0Dkro4D7jjn93Dd//+B9j30V8iXDTMfztn9pGk6tGVdfhdqC1Lwzz3YD40C1ZUZs6mnzF2Ws4TWwzmHPzpb75OXMUaMmKYfSQSVTMno628wEG0z1KNUlrnLb0tITqXoGfjElx8fP+Luvev53J9NBAgUwVjCtyAFh1EJQ9wuJqNTBMEK6FKz8Uiaq4yh+mJkO30EYPuJ8LMBNmO4kaJCgrz6DSlkJX3+jmhUcTjBm+Qoaxm/Amf5qUcPcgwWlJyQ7dwjRflWE8QgCbKq1SeVGo4HSpp2BX+IsupLwt5KQ9l2Jz7MgIpo+E6ld7y7JEtzB23osMZyIOkY2kYja8rlSUQhKkX5VijSNsefieTDEMxkpLpiN7cdRXDcqUBa9GRpbYi3ydthU4gjBxeLKnd2rrAjnWcYwpVJZ3YoYt2TqUWTpVFEeObrOlheqlMfSochKJ5QXAOwbqMRsI1qW/almnfvo/+Eid+4ne445/egylYmqVniEyrhMqvnMO5Yhow0kBYB8aMTCsL9C25JVyXaWXQFcCZ2B0Mh/bVtNRBJWrjhNIfdKQBTht6k/vYNd3yXP9ByuungXAWl2WiJpXnogGRW5SSG72eFz1eloHR8l0m2wLoWNKXNvRYO+BTW/BQcdFbZEP6tkpzaVzyXB6UPC/wCZq05WFiS31Rbry0qclqcOluxf5zpuhlR6jWWpSotAWVWumRUjvMcljBFqhMtlNZjit1M630siDTGBuoqmGwvipQk4IjqF8yRO9aoXtiAgD/VWukF1oycsjcpqwKIM7jRepx+H1BfkpywWKMgK6wFpWKM3lpeltmS2orglw0iahKayMwZqchHfOlMXQy9bFOV0xbo6myGDpzODVMd6o8lzSksWBESdzEjvbZwmF7h6a2JHoOfkeCsuGi4Y5/eg/f/Qcf4FW/+j7qi6nEfCw4XRyjQDuqQuGpGkE4aUxUKopRJVxbA6X2qEkkACoepGmFkUCp4jpbSkNkVzT4aUPh9+X6+H27KZB87ff99d1CXD8NBKBqIebiioy6CtLVqDZE65GLz/JDfZVWRKkTUTvfHSq4xcWDeiVmvgjSrR7ymXwqRWeO3pxH0lbMPRhjA83xn2hy4I83cyeqxqZIo5aNh+mlI9tkwxHHiFy9fHm1vkS4mrN2k0c07bAhbL0fZh5JSY+P0y72n39tnKV7NjBfmGTuW51Ndar0G5IcE2XVXNtci1bBSN105ujPGLyBI57UhKtWHMUDmDwiaVDlNNu+UhzfDacfsoMCb1DWp2h4VJJVx9Hx8H0eKBqLMmXp7hNxmNqSjKzqy5b5b+eYxFZ6Em9727spKdYlkMgr9qWucPcuwXGjx5b6+oJJycHv5ly8K6Dx8iUm/q7aFOMygbdJ60H0Jy29u+tMPpUVQWMnDcsLLNf7COK64GKMh/Pu7omfIF9eEeDTKw9jlrvycK2s4ZzDJQndH70dv5NjA039Qg8beJQuU/75laGi1CCqbObPvecm6kvSI2ah3NjBhmPy6agAQMkcdjDlMf2tRWxL3L11J8K2QsxqgUkYRJz4xX0ANC9Kr+E09LZL0K22qOjuyZl5ULNyi0ilbfuKaE82FnOWb/UYO2mr3qazyzD5ZEqwllRCtDbwSCYDYbECOsmI5hrUz15N9zYr4u79xK9vRceKYEV0IYJ16O7JaZ4zYly8IqjHYNlgQ4eOFVNPWPyeJW2UGSBIm3I+SYHebJ9xjJ2OC8iy8BFKe/s8NJg4Jzi/ztH3z+IV2R4QKPbOv3KaC5/aTdoWE9xk3GEP9tBPNRl/WobyaUMJZXsiZ+q7htaFXKYqJQeiKM7A6g0es48kksFILMFSn8985k+49Rs/Q2+pgRoYXDOjNd2nu9hkz97LdOOQre0NrFNkVuOc4vJHd7F+Y87ct2S6kDZl+tLfoknGYNv9McF6wtm/a2nWEta/O0Myk6MShWvkmEaGzTQuNuzctUT2+/MCzrLC8O3sgWP/4Nq5GK2pne7wW/7WNT0j3/jgr/9AuBjXTZpztAzFW9UmurdOXZE2g0rc9XlYdDothplFWk1cneUYuoBMOzXCn9gkmDqSFkVEVyghzZm4hYerCq+rKrdopyQ9qtMidVpYw9cvuyLFKL8N1tzwtKvzveJSlOuuFJAZEU7ZdXABNx8XKUyq7VVGJUyjUiWpWCXb6MxV51DWKa8pEYopthmKxzIiKKsqAduS5Rmsa3SmKjsCpyHOPcxAqNGyXvEzNz2AyoTEVR4jncyoXfRIW2oEJk5Vp3KxQVH31FaxnFu/8TM8dtd/Qg0M/oZCDQyv2n4Sf8njFTOnuW3mAnHmsTxoEJic8+vj+D2H39GVDSJKpnN5IBL6FCnMX7zxqyyemcRECn9VJPJ1x+Olu87yqgMnUAONb3K82FZy+V7sqC9uvo+vpXwPrfe+L+V5pxhKqd8HfgS47Jy7tVj3fwK/CCwWm/29QnIbpdT/BvxNIAf+F+fcZ6+pJqO6D6PYBdmnZMyMqhCBlV5AaPD76eaAoBo+1CqH/lZFbVGs6F3RW+Y1g/UVwUZK2vAofTirIfIohgJAa5rnNJ19EpQ0sTwUeV1k2wfz4sGQ1YX2bGJ56MTGTtY7o2ksFqIopQ/DyDFGMRrFiQ+Dm8XnK9WWFu/dhpq2pHd0SWMP/3SI8y3RrEZlkv5z0wmRL5kV54lDmd+zxOMFJb7nqC+Jo5VyQoUPO7aKJ1DhCsrPVI30G97xIF88cZBtU+tc3mjRX2xy+shWGmNialNbEmn6D35UBGbdUUVuBJA2dkT0HBoXy/+rxJkIzgGkIRo7NRIYtrKut9Rg339+Hyd+8rc5/M2f5kd2PcknP/tK7nrD43z8z+4Ww2YtCt2rGSS7Euoa6pdkFKkTccmqX3aMnS6CnUrO9bc+9jaYzslrji0vvcQrZ0/x7aXdfOeBG7DtjH/05o/yL//gp5jOM/y+kNRU7midf4F0b36wD/+1lGsZQfx74K3PsP7/cs7dXixl43Az4uhzS/GbDxS25M9frtQ+HJkDltOgcDUtiEVXmM2MEK5wrggEusrspnHREU8qwvWccMWRNSR41pszFfEm2MghL9ydHNX7UTKX13eEy4bWWekZvb6MGoJV0JnIzXX2i1pVsKbobjEEHUtvq8zlTSQByaymsIaKtFTxNSqDmuH64XW6LQAAIABJREFUiuz1LEuwIfoMPNUkrKc0z4NKNem4WAd092a4VKMmEpwWL4mga+luN+ShIg8V0bQWEVlLYd5LkaakUvYemtpAZY7rHJ955Fb0Ey3OL4/zI/seJ7xs8AaK2rLD1iy9AymMp0U9NWlT5PjyUNKmKhM9h9IMtwROVaAw54q6lY2HrCtHDoe/+dM8+so/5mMPvxRvoLj/8YN4AxHPNXGxj1yxa9syNpDG0GnR8shDx/oBCYKOnquJFKqZYX0YCyO+cPYQZ56ax9YswSWff/TtHxVxXje8JiWL9QUVx3P+t8+E9/nzLs/bQDjnvgKsXOP+/irwQedc7Jw7CRxDbMm/JyUZe+Ex1TwUw5v6oqO71ZCMSQwCoHVpCMIaBRM9W+lvlZtq9TZbaDfK+ni6SMmNOcafkm0GWy3t8zn9WUPrfE7aGhrT+H0rGgrB87fPz7dNf96RbEvZ+sqLRIt11m626FjhdeR82seKa7YoGhV2eySWg2dzkYjzoXUhlzRdIizSwayqjGuer/yduz/D1F2XuHXbRT78wMvJDwzItiSiwhRYWkd96PgM5hxqd4+gY2mdt6JCNS9Ts9pSkYJNN7+WJasXQc10aJzjmhnphOXNu55k7399Lyff+m/Jmo533vEgybgjGXdE0450wmJ9x+kzM5gIuruUCMYUZepx8ccYZWLmDYe5GJI35ImPEp9/8sMfASC8ZY13H36AtF38PyO35IuBWv9FRlL+ilLq54AHgF9zzq0iduPfGNnmKgvyZywKVIFVQBUaCkZDthkTUZrbZiV812iUdeR1H72hN2EkyiGp9RWNy9ILgSJqCkxZ5Q6MIhn3h7J15bRidLoxMsXIQxky+yeFHpjX/r/23jzakuwq7/ydc2K405tfvpyzqjJrkEqoqoRUlKRCSDaFkE03GGEEwjZ4SQwqudcyy/9At43bgDHd9vJawpaRkBsajGlWS0gyCDSAltQWFhpQVVFSTcrKyqFyfvN79917Yzrn9B87Iu59LzOrMgvhfDJ3rxUr496MF3EibsSOffb+9vcpiibgFPEGbB71mLS8mTPpXjSZJkgcYVfTWHf0Fgzty3Y7hZsd4iqkAan8bIfUbtUYhGxX1+OafNUK60/OsfbEASaR0F9YrSCbkLdodCHEpBItmAsB8bqUFRvrjsa6XKPBgiLoQdGW6CibVDRWqOflLhiSCHuj6inGv//P3wfAut9HC/AmFJXtJ2KCfojyEF82tahN0fBEW46Js46LfzsnPiVaE15LLkAXQ4dQ3RvdI5rGiihZ+dwRKEVnrs/rD57iY596gOZAced/epjjP/o+7vzNh/mR7/kcl9JJzvZmcF5x78x5PvjIa7DiI5l4XgBk0bqUbzdv0eRTntaS/PaveMMJnviz22lcNpxcvA00/MLxt6GPJPR7DT70sW/n1jc9T//Jg+RtXScp+/teQkrv5tcIXtBeqoN4H/CLyOn9IvBvgXfcyA6UUj8J/CRAI5iopxF4t12wpiSy9V5k2RgI18C22r9W1wzHXARZR9FKhIdROaF1r9qztRUZeLVzinMVi9YV/X0e9okmZDYt9XYXeXShhba9DNPzKeGqKJoKVgVGHaSK1oqtCXl15ra/IXwZyleVQS/bbGtz33GO/T+bR014eOMaveemYF+KW4nwypAuFDSXDPmMw3c1xYQjB4pzmmjLUzQ16ZSic9HSWCkRpInkIFqLFZbDo/SwlCjjGq7/3R/6ryxlEzy9vpczz+xDz2ZwYgr7sgwKzcTxgHzK1aI25ushynv6C4aJx4RDMuz5+nx37t+jmH7W1t9X22wttfns0/fx2r/xJH/65J289VWPcudvPszxf/g+7vr1h1FO1VWbk/ER1ISTRHImDNhBT4R9Z56G6eecvP3L4z796TvQgSebcczctUpWGA5Pr3Pic7eSLlj23X+Z8398hLm8IOpKDkLnMPvMjc0x/ocFSnnvL1frSqn/CPxh+fHFJMhH9/EB4AMgZc6aiRpKKGxFaOJr5xF1LTpzuFjXzViAQJ+dE9CTM3hbrivRn2isCgKwc96RzIwm/KBoCIzW5AoKWzMvVev1Z2tJZz3t84rGqgc8jVVJtvlA5tzprITHJhF9TW1z4g3JI8RrnnjDkswYmktFPYaKqAVAlYQzwzGU9fyqn0R7WddlvgXg1Ru4k5Pw2RnagD7ZJJ2VsD3sidBMvGSEW3HToHOINwXaHG06ok2JIPK2CNwk8xIdJAPD5EYh1QtH2ZRWhvemXHeOD//uG2XsDtoAZ5osvOUcK79/SFS2M2he1vzQ3/8M/+9//pugHKqAznnL+TcpGksS3se5E9hCscNBaFi7KxD4tFdl/slx622LfNv9Z/gvf/g6WgPFH6w8wI98z+e469cf5uvvfB+LtsfPXXyIlbTNRJjyuWdvBxrkE56FRySCiDfFKW7eZugdsdz2Ufmt3vtjv8ZPfPzHaV4wbG3O4zU805pG39mjYTyXH9/LL73zd/j3P/vDZB2JICqJQH7vBR6cKx+CXQ+UekllTqXU/pGP3w88Ua7/AfDDSqm4lCG/A/jydeyx/EeGo3I3zNSPVDdcoAj6BUFfEJE6t5h+tr1js+7OHHZ5hj1H0Lc4I4lFSRgWmEFR9l1YEaMdhV6X66Os1j7wNUtSkHhpbjICOw4GnmCgCAeuTEaCTqyUwPryQJqSpzFIbMm0xDb6s6pEWZUTqUL5a5U5lSIOC0xSHV9u8Or4ciypqAQJw38TgYVXSzCQ8mGQyN+qkl9mO0vUTuYoOX61vU5lMSlsJsI1KYlCj05hPuiiU5namUz6RIRPE0FmjnZmjh6nYsxSwwWl2EpjltMOJhEouM7gUjqJcopF22PBtJkOB2xkTabCAS419XmZ1A+XUjHLB77u8LxUTKMzVUcc0jgHRRaQpQE6g8v5dM2eNbrc8LP0P0CZ83eBNwHzSqlzwP8OvEkpdR8yxTgN/BRAKTf+QeApoAD+kff+Omo/26cTOslQaSYPwUi4H/SkJ0I5Lw1YDml82pnxHdHF0IWXByF3eBPKwz1wqDRHO1MyaBcEwY5pykhlQcbmhc3ZVje5J28ZaW1uycOlipLHsi9TG50U8vDkVhSzT1m0DdGpOCvJnPthhOCRc6reKiXt2WgHaL2U26R5gC6UvNVzCVm9EceQWUEiVuNypnoDC+RaeZGN897XgLG6elBWd2qsyQgqsl73fpjw04IvwYFSJQVcLg+X154/XLwHXfJT6szhjOhW2EjX0zKUrysXI3fgsMJQTce8Z//EJud607XDdBGSc4g9P3fxIabDAf/n3r/gwctHMQj2QjkoZgTkIdM8KXdqC8GGQVnp1P2Nsw/KtNGWORlbsp4XGt0oQMNnV+6sKxcivfjSHuRv+imG9/7tV/n6mk2t3vtfAn7pxoYxEkF4RzHdIrAOlRcSDZQPUNE2FO02NlJMFA4XGVzcwvRy9ObVIwhlYeugQLB14ekviNKWLjo185KNGiJvf2lHJDKKp1AK25J5+8BobDScs+tCsXGboWh7Nm8JpNTZ1QwOtbGxonewSbTp6R1qYCNF71CTosRIeKVQRg0vQxVVAGo0goCrAqX66030tBzPTUmE5LVof3gF3cOGZI9QzrvIS+PVuiFvN2oWJldyXiSzQqGvrSJeY8iHoEYwGrAtghBgkyREQR6S6SgjtTLHzwaKou05vzFFf58n2jTYSGMjCFYVtuHp79FMDkqJQePBDaNGXzrSnRGE84rNLKZoClmtbTmcV+hUsZK2Odmd58HLR/n8PR/h/kffRntmQDYpnBvJjJH2/LbCpNI1qjPqCKKbxvimJZnXddu4ncsJmznWavIJx0bWLK9LOU5NnaC+bhvNte1S2x29GGUVo9LFUNZBYPDObatiKAfRZi6CriUWIthMhUZuRDinrmIoRTalmHtKYNfplKnZooNujkktRTMYcjwERohplUKX66MVBJXLA1N1OqaTmq0j8tabeVqSoI1VR3ZJSozRWoYLY+K1nGQ6ZuJcRn9vRLxakE5Eov1YvsEBfKix0VDr0Xtp4qrGILoRvhaPQSn2HVhj9dJCjRAVbkaYPAnJnPBW5h154F1E6SC281gWTUPWMdJB6aUM6CKkO7N6IMu2dii/t1Lpqd6ugUh5YhJoBrlcpyWJuIK+4tjssqhs546wawmBYs7TOBfRXBFuSoFabw/Vvak0S8qKj5f8U+E0e1o91gpQVhFuaO6dOc/J+AgTYcqh1joGx/2Pvo0//9YP8vLP/wNaW55wzdBYk6DWpHJP9fYbXCScD95oImPBCpalaCJ6G5dD8n0epQWNuZk0CEEIisochBqhLrlu293+YZc4CO+F/6GaGmgl3AlF2dVZgp905hjskWggWpE3rZ2IRWRlNElZE9FKuD+YCxjMKybPWPKWAIOaSwH9vSHNFUveKS9DMdLtWa0Xw87MeF2RTkMw0CRzUhb0yhP2FBvHJMxfvk9KoGFXsX5Hk8aGY+2OGBcptg5GhH3P1sGIoqXQl7w0EVWCvUpKo1VjkMotOvXDJKZS0h2qlJyvUqw8vp98T4HphyT7LVPPGMJXbLDWmiBaV6x9i8fNpySpQWUanSo6FzQbt4V1e3LeUjRXHIN5LVUVJ4JDuhIOVr6ck5cVpbK9GusY7HNEa5qt23PMRE54vMXFzUlM6ll/mSRUfeR49KvH0Ecc0aYiOSpyBK3nFMkrBqzTZOGRQqpKO3sxnPST6ELy2LrsOnVecXJljuxIxpEDK5x5fp4PPvIa1ITjc8/ejktFlbw9M+Dln/8HPP3gb/PqP3kYkyi6h4RWIJsEFMRrHpMNuzYX1yZ494Of4VfddzJ7aJ319TYuNezdu8Hi8iT5wYyV0zMcKIQzpIpwKjzHjdg3/RTjv4tZBwuzsCTI7eDSOsmxPTSeOo8vivrhj5cHNC5Ks9La3ZMAzD2yAnkBSYrPRdOTLJe/A2afSdGZY/IUoCHsySnHS31M2sBsZSjvsa0QlWboMvKo18umL5/nzHxdOgpV4elckLfj1GlVC7m6QLQe+/MBJnd0nk+wDcNU2QRaVQGaFy22FRD0ctEhrRxE4QgDjelLs5bKLfFaKvkYQLlAHKcL6nHtedQDBl1Y3LOKYFBg/5+OaERYV0KWI/KmvJ1N7onXCykVFxUwyVE0pLpSUcTFazmmn1OJ9Srr5TPULe0qy9nzFdCFw54OcEEgkcmJaUzqCB6TqZgLDfG6RAlv/5lP8JH/7c3Sy7Koyc/GMp6+HbJAbatiKGZOOEy/wBglbelZweKHj9DqeZoautF+9iQCitM5QKPODWSTEa0tz6v/5GEe+Rfv48GffhfBwGFjRWtR9h9vCC7FJBaVFcz+0RQf+uSbWfAAc8x7GZPXe1hwftiH0s2JuvK3LlTopZfwtO/yKsbucBBawfLayGdN48QiycsPEn2pW4fYxWRMdHkLtGbuS4sQBgwOTwqJydP9q1Y+krmQ5lKG6eWs39Uh2nLE6zmDgx1cpHALEeGWJZsKmL64DlqmGGq0mgGgNGt3GSZPl7mHnqO3V2jP0inFzLMFgzlDcynH7w0YTGqizYjzf0Oz/795ll6lmXnGk0xrpk/mbB0ImDrp0cmwBdmPCu0AKIVtBJhqmjM6pvK71bu1CPBsSBVj41bRII3XRUR4/ms53UOBSPNNKmwO6WRE+7IjnRbF8qgr20Ybnv4+wQ/s+2JAI7V1emi0rEy1rkRntGgKMCsYeAZ7NN1jlnBN0z4PzRVH1tEsfyu0Lig++jNvxjYV/QXD1ndtwTMdWhcN08/aEiDmGcp5y3F7+0Imz9ghiE0pNl5mCbua5iXpyOzeVgHUIJ8o4dQzBbiy4SpRPPjT7+Lz73k/r3zPu4nXpArVXHMks8LkHW2U+z6qxdEo2V+45dk8pohXRSsl6CtcDPGmkOUoJy+HrHPjZYxxBHG9NpKsca0GKklHdCvKENt5kgOSDYuXPD40JHMBzeXimvsqGopkLsTui4i7lrypKfZFdI9owh7Eaw4XBgK1rSoXcGWN2kuJsrdXE294khld9jJI6bB7MCCbhvU7YvKWlMguvMHQvKRYvgeyOcvWQcmBbN4SkMwqpp/dDnxSviR3GQFG1b0Yo2OqronW0s59d8HEswHdW2HilGflPs/kc4awC5tHAjZvF03OfMoT9BRFy9O9TeMijw8d0Yoh3ILBgjgHryBaFy1ONTqtyAp8aKRAVI4jm4Z4Bfr7ZYyNZYhWDHNPOrb2awZzmnxC0TmtyDuSU1h8tca2HX6lCXss6TzMPeVQvbLTM3fYxlC7pHPeozKHya1Mv7wnWjOSHJ2C/gFwgWfijKr1OnXmKRZDsilP6wKs3VegnlQc/dC7UAcc/X3yoCd7DPu+JMzi1b6DvsDnO89Dfz8or0A78kkItuT6dc5C68JA8mFQiibdIFDKsx2gtwtt9ziIv4RtI7bdYe0LGb0DkrewhdCEVTwIeRumn5Wwui4V5AVE4VX3Nft0QTql6R3QuFDmnFPPFdimZv2YYfqEY/12TbMMNW3HwbIhXbDMPC4JzalTwsMwddIRbCZXtKqbfl5zPgAEm0Na/IoZa9SmThU0VjTdIyIanMzD3i96Lr/eMvM1TfcodM5o+gc84YYin/IUTc/CHcssr02wZ6ZL8Rd7yjIjVA1IlZ5pFc2YSjg4t0I+U5GpDIaU9DpXDPZ59jzq6O81bN5VYAYa27Yc/iRceIPGxpqH/6dP8TunXgMfm5OOVwV6MJAkbPmQVcfzRhF0SyYvM4wspo87tIV0UlG05fvmkgOnaV+2Ut71nmSmmt4EgGX2CUXw/Ut88b7f47bf/0nyKUWwVRK9lMeePmlJlzUbd4BJhMgn6KkyqhD2qcaq8I2awg3V1m/QQQBcIWC0y2x3OAilUY0Ykel22MlYKMsKh4pCQUZ6TzoTUsTyIAeDGBfpkuQkJGzEojcZhTUJLVqRzgT098kNFK/Ig21jRfuip3uLIp0OpEW7o5huxvgokB+7GctDGlcEtAV5W5zD1jG5eYuWobmqyVua/kFHvKrIJiVxBRAtVw/5UDIvmdHkHVHdnowCOd4Oq5xD/X9XmaeqOAIlTVXJnGawv6TeyxVBX+M7Kb2DMcp6BnsrWT8gtjROxaxv7MHNOFZUh+K1OZ2vC9+lSYUrwVXHHq3cVcMoHYmOI5IFh84V9lCC2wrBePJWQDoNhJ5wUaKFvKnxe1Mg5gMffgv5sQEzDoqmqGy7R4xMXazaFnZXsw2NVHHKBnXytlSUBgvSHAcChR/s88SbZdenU2UpUxKSrUXAwdLqBLf9/k9y6vs+wL1ffjsujIbHcDJVyFsKG3nyCUt2UZPOqBGgFYR9hTcGAsGSoF4a6vAbKaunlHoL8CsIv+D/5b3/P3b8/z8BfhzBKC0B7/Den3mhfb4kJOU33raH86P6h6PThWi9GGpOVK3eJahntN27NucJ+47WJQELTZzLaaz7UsNRvtNW9hFtlMeyvoZ4M9JWDhAkjnjdM/eIoX06kLZvB83lguYlTTjw2JZs0znv0AW0LzpsQ4RuGkuqRjhqC6P6mPXYRzgrhwtXLuW2JpXcw+zXNNGaYf4xObfwckRzCbI9BdGGIlw3NM8GdJ6OaV3yZLemAsF+pgWFlhxGItOlsDuiC+l8GVWM6ET64RRj+hnF7Nc8zSeaqFwx/Rch2nrmnrS0ToUkt6SoXHgs2481KWJFeigjerZJ2JdcgRmUCt12CMCqp3v1sSXpWn0f9gQh2lwU1u2pE4LInHl6iJAM+kKJX0GhvVY01xyNJ5uoQnHvl9/O49/2uwwFauS+M5kHDZ2zitYFQWBOnXKEPZg462guC3Rf1WP0w7+/wdv+GyWcU9Iq/AfgbwF3A28v6RdG7THgNd77exBQ+L9+0f3uBsq5STXrH9APEdxyGN8bQJ5J2TPLcN/6MoKSfg7vt9HKqTDE9/oAbH3HHfX+Wuf7uFik7pTz6K6E6W6yOQyNzy9LtFEJBkchq68/yGBe01h1dWWicz4TFKZSFC1DtJbVtPcuMuQTIT5QRKsZ2UxEY3FAsiCie+2nLuMmW6hBhm9GqEEmeIo0w7ebHH/HDGFX07ooY8ompaMx2pSbVGfQ36eY/1pRMkKbWmJPF8KGPZg1tJYsQb+cfijR6jCpw0UanTmK1vZW9tbzm1fQ3rvJJiopsJMx3mjyn1tj+TMHhH1Lw2DB07oo12TrqKVx2TB5yhF1q/yQ7MobWD8aCFejE9Rm0dKsvsww+4wlXs0J15NyPxPgoXOqy+m/M01jEZIF0cosWqXSVaL4oR/8//iD//BG6WtxgnDcuE24PCfPOEG1NjVbhxTTzzk2b9XCum2BEuUYr3umThUks4bJEz2UR6QAPPzxh3+Ldz7/7Tz62/fQWHUM9uiy9ClIUlfCv9PpEgez4khnhNC4f9ChM4lYZu9e5pG//cvXTQ03OXHQ3//qf3Q9m/KZ//pPX3C/SqnXAf/Ce//d5ef/FcB7/8vX2P5VwHu99w++0HF3SQRxbdPJ9aNPGksp0WaBygrMVnrDx2qsDo/VXLFEWw6TO1TmBGvxV2Cti57GmizxapnoW3U01jzNNVuCn4QxWWe+XHeEGxnx+guP6S+jV7mZxMSrnqBXNpqtCugqXvO0zxialz3N5auj6CveCxepK8ZQOd6dFq3L3wV9EdKNNgRoFW3A3nBDdCsq3sstKxiGHfvMp4S+vnfE0r+lIJkTXohs2lO01FB1fYe98/lv59eP/Dchnt1y9A568o4cTxaFK1XbXCifewdFfSzoS/VD5/CPb//MDV/nbyAfxEHg7MjnF6NaeCfwiRfb6e7IQYC82fMCZTQuqUBP5ZVRiv6de2g9eRHvRujuK9p6pAW86IS4UBF0A5bvnWD6ZEq40q+3UVlRRxCj+/FeOihtU6IHr1VNx+YCjXZw+i1tDn96gM6lVg7iXU1qcFahc0vYLZ1TWr5OC8m6q8IO6e+NF9xHYZl5UnIfvX3CruQiaQrKJhRhT8qeyoNtapR3JWpPbvCz39Vm9hnHxPl8SOleX0vptYjKlvjQ7xDOKdy2hKeyAtZS1mL6uWTk/2iW3iFpa09noWgJIhPkIUlnFElXUIk6l4ir4pSc/6onSKSdXllP0TIsPCrTg3Arr5N5jcW0Tu5175BEbtIWKr90n0QQQVfxH3/le3EtVTpsz8XXRhz407TmqqgeoNaSVKJu+2jFSiWlU2cEBGUSS7Sh6muly/vu0d++h/sHr+TP/+X7+JYv/j1u+XfxtuqRi41MSb2veTqnTntWXt4QAFkBrUuK9/78DwJfuvH7/vpsXin1lZHPHyg7om/YlFJ/H3gN8MYX23b3OAioH1ZxDk5Ki7k8xCYrnUbtGBzeuBqmrLMypM4FnRikUqJTg2x7+3SWy9Si3I8faedOpg2dcxnpbEjeKuvqhQMtUOKgm24PzQtHsJGW5cDSGVhPtFLijn3pDJxDJdkweeocKs1oLVnSTLN1UAtBy7Jn6pRl/ZghmQdQtM9L5CDiNOUNGyqS/QX5GcPEyZEqR2kmtdtvvJ2bjLaxl+OsnIYCVArtSy2S2QDbgHTOMXVcsXaPnPvezysZ84Ri8lQZqVXOvOrXUCWHhPNEadlT46SMq8qydbCZlBB6R+uswTYkAbh6j0ctJJjTDYoJT+upsvyZiW5F6/5lok/EQ43MHce+QhfDaPQo7X39kgCcRGzRlquJcN/yi3+vHiOAT4PtFQotx1i7N2Tmq4bGqieZUTRWb5CTsnSg12nLLzJ1uS6qBaXUQ8A/Bd7ovX/RMHtX5CCmor3+dVN/B7u6Bt6j77sbvdGDvMCtrQsUOy/I3vjK+m/ixZ5k+0tWa728gc9yqXokiZQrgeW3voKw5+r5ZDJtCHuO9rlE+iACecO4UNP++hKuI+2JeivBdRoyDsD3E06/6w6CHrQW5WbJShZoFyrCrqd3SDF93LF1UN7WC48lZFMBQd8xmAuIN6wIs2xa0umA5lJOuDEsdfooIJ+K6zm6yi3ZfJv4okAxR2nv9apQ4T/18/tRWwFTx6VCEww8W4eh87y85ZuLnq1bFNE6JcgHpk9ITqPqrSiamnRSGqh8yRzVWnR0ziZ1FUGQnxU9v+Q2wovrPP/WAzK28lVjUsgf3KT1qQmp1iQS3t/+fc9y4vfvYOqUlfxIqLj0gCFekehp6lRec1Juq2JoxepdIXu+mggWo3CEy33O/ELAT7zs87zvI38Lk0gj3SvecIKnP30H7/2xX+NSMc1vnH2QbhoTGcvi2gSzf9Rk46hm7knpvck6QrPXX9D0Dnpu+URKsJHyyT/6HY5++h3EJxoUrbIVPfQcfeV5jHIcf/IQP/vQx/itf/4/b+ODWL8LnvvZ66e9n+wc9A/c8/D1bMqnv/BzL5aDCIDjwHcijuHPgR/x3j85ss2rkOTkW7z3z17PcXdJBOGHClcg3rrqrairE46gX1B0yrJjSZziIl2Sv8o2O0lmRPdS6uGdCzlhWPItKkhnQ+KVDO01urBDYBIM10eYrZqXpXlK54KeDHvQ3ys3eNEWXoLeAZkWBD3PYD4k2rQM5oJ6Th5tWoqWwYXCZlWR8FbnPfpZWY+2rlbBUmXkpLSur1XnmYhsqkxyTkFjVdiskjlD1JUkZ9GUubnOpflIWU9/Iayh1kVD0Vy1JFOmhBTLlA1XgsYUolU50u5dkerahmhfJDNeAERnNIONBpMDkdJjSuFCz1OfvQPdEGHjdCJAW0/7nGL9lQWTXw+Eit9c5Y3qhPBHFV6Kd2Xo325k/Mrn3gxzFtUuMBdjnviz29GB5yc+/uPoTAkQrCmNV+9+8DN86JNvRueQt6TsnLcEmRmvla3yJRnN0U+/g5MP/QbHlt+F2T8QLYz1iOeXZ8jWGqiJgl/+3Pew38j0QjlhO2su3njO5xtV5vTeF0qp/wX4FHKlfqOkX/gF4CtMig95AAASkElEQVTe+z8A/g3QAT6kBN/yvPf+e19ov7vDQey4RlVoesVmZTcjUDoChXJSFbgW5Vxj1dLfE4he5KSpGZPx8nYyvRzXDLDNYOiMqjB0R9k02vLYEDaOSoTQXPYCqpnU9PZDc8kz2KMwmWhKxhuK7pGQoO9pLkkGvbNeCPhnQH2zvyBy8oWQlEhJMuwK4i/ow8q9nrlHNcvfVuAvBNIfsqkYHCoI1wzJPkt2SioAeVsYpaefE0KbxoaliHXdYq2sNM55Kq6IElVpVV1yLDqeZMHhA4/pGXjTGu0vzLD03QM6EwmDp6cp9mdMPB7T+e5LcHwPLlL0Z7VQzn89kCYnT+l0djw0WngjR0ueeM/GY/M0E2kXd12DbTsalw3ZjKN5QZiztIVkXhOtK37Vfaf0VihYfL0lWjXYyNM5K/tXm9TXOT7R4Njyu3juh9/P6x7/Ada/sJfk1ox8sQmRQ62GtBY1QVKILmtZGm3e5F6Mkl3+4zu+++cj6w/d6D53RxVjh+P1O/opahthFrpCI2KHXkRleUeihZrXoFzfKVJTw/93COeMfraRkLtWf5t3FL0FXQvOVOCdml1IQWNN5s/JnNl23KKlrxir9FjsvDbqyjHV10PjIpGlT/cW9G4riJc1vQMKVVTEsp5kn/RUFBOuvg71NdHyJvVa3u4ohgzPZaNW/RuN9EJUv8/sPUv42HHL7YvMvHyF7pkpsmlP62tNNpc6En0Yh43gwvlZUKo+ftFUJHPSnl7vXzEi0DNy7B3nn81birZn7/2XuOuB09z9yudBwcxdq9K6HUI2KedXNGH20LqcUgatswEmUbjYUbSuvBeKlsfsH/C6x3+AL9z7YaZeu8jfvPsZgvmEaDrl3tc8hwvZNr6R9pHrN8/VMS5XW26S7Y4IQikIo/rHd60QlYYopVBBINOF0tPmJfV9tBbiogAfadk2FTLUCtugSkapoqFqoFPYd6KFGYJtBpiBw7VCimaFXAxxTZnC6FzWTVL2BOTyNrYxtC5V1RUYzCuiTSnTFR0B7qSzMt2IumX1xGrSKU28IQrUXimKWPIerhnKlAFwjYC8FaDTchqltWxfQr99aFBai/Re9Z0S7oZoRaKC5rJn7W7PxAmDi0GniqKpiS8oXARBD4JUKO8A2peklFeRwFRvQ2+QfojygbVNXUd6NhbhIBMGLK93CNcCzrgFAFqXNMmCo7EMzoRoC7bbBAWdr0d47WisORprkE4LEjbse4qmwQdchZOydF5NU7eZmygQOTwND+w5zafP3kWShaAhK8xQUawE0dmGZ329zbyXxqvGWjkluyis6M4IF4SLDT4NhEaw0Kx/YS+v9X+XL973e9z75bdTrDTw2vPKl13gaX1HqW+icM2SOesGnYTCf0ORlH8VtjsiCA+4MgNcNixJaVD4IKqSpw11yaco1Q2dFahsWLbzZfkQV5ZIrRWgTlOo15Jp6doLB8ItYTLZj6mk4ysOiJIHoqqgUCqNZ5My5+zeIqCmoilEr7Yhi9fUXJP5hJC3pJMGk7paYQuk1Bik5Xy+LC8qW3JslmOqvgfq/x9dKHMTRRvyjqe4JUHnsHUYojVN0a6IXKpSHdjY0zvsyuSctDz394jKljfiGLKOAIKq0mDV2q3zIQbDZK6UwXPcc+g89lBCe28Ps2UYHLK4tqV3UJEsCD9n0fbkbc/WbUWdExrMaQbzSkRushLrkfoh5mNkqcZS8TWowuFbFhd5/nz5FjbOTvHP7vk4LvIcnl6naHmKdomB2C/kNS6V/MrmMegvaJIZ0f8QNGcJzbYeCocPPX49Irk14xWzl4aIy8mcw8eWCJWlaPqhhGE2EjXe8L3vr2+5SbY7HATDpNfwq52fXc1LuC00q7Z9gV2bFNIpTbQlRKl5S3IMRdOUFPsjYJTRcG5HaFdxDEw8L1l75SDqCuS3aMrndEpQfGEXsglD2Hdkk4Z4o+RmcB7bLNuES2jvdvg0277b9oZxV44rm/L4wNN4skkx5WifAx9IUlL4EBSu5YSarSnIxLDvyDqGoiEPZzJj0Lknm9AjwCBVz/vlmFfmSwCe+uwdNJ9o0r/QwU4WNC4ZCDytC6IRUnVw5rekBJsGZyRJWPFn4mCrTOzCVUBBXlTRtv3ugGkVvPr+Zzn71D584Plnn/0BiiMJJz53K/pwj/xwWtPE5fsy9h5YF+6HVUUwKJOSDgbzmnRakU0Pqf2PvvI84cIA1TP86aljdM9N1onLtx56jN984rW4Q8l2IJMX4eMbMo/kmK5nuUm2SxzEyNy2/mrnZ709fzDK1bhzLr9j1zaGeEPenFVIi1IEA1vW0kfCw9ErsuPqVG+J/r4ycojls40FJ+G1HEfbUrymK4pV0abFRmVyVCtMSdbiq5zDKM/k6LmN8FNuG4++ckyDfY54yTBYUKVIroTW0aZH9zXBYJiXyFuaaKtk1laitu1CVYr5MiKeq0auy9VzIenegmSPwzcs4UpAOutQWnQvvYJwSzoilfbYhsCkw74ry8PivOM1Xx/nijB9JGdRXxtkChBpi5soiFYME/u6KA3pgsUYoYYzjQJrNUp7FpcnUU4qLS6kzr/E626YN6o6V5UjW2vgIzkXrz2H9q7xnrVb+emZ00xN9OX7q+W1btDqnpcXWW6W7RIHsd1q0pQdpC2i6DTkmxSlqdFtd9zEupwjlnPsIBnONyuCUmrBXLbt92pU+t5IpGASweebRN4ayjGkZy/DVZMMj+m1qFpV9O0oVeL7uSLBujMBe7VtRpd4VeFDhw8d2ZQ0J9mWL8cnY7Ztiwt8rVdp0mFYHZTr1Xxduk5lSlaPpbru1QNRrWvFnsNr2JYjaBXk8wUmVfjE1DT7sj9P+FxTxlM+iCYr1b9mfK1tSX39RhYFrSW3TVXcK4VPDX/2lbv4+Qf/C8WRhO+99QnMyQYHb12mONkhONXAnGriVyPCczE4+bugL/khk1WM24rGipNKSumAjj95CNWw6J7hFfsv8qMPfp4373+a9z7+Jl79yNt45NUfRJ9pUvGkVkxYFVT+xm723T3F2B1Jyh1TDFXhILZ1OcrcNOhluEhIaylkTurNELVXXVDvfd1ANHG2hANHWm7MnsMkBSrQAqPNHaoQslxvJV6s16sfx0nY3jnriTdkxzaSdmIXKlqXpEko3rQkJa1duCmktVE3J29rmss52VRAvJrDhFDybwshCyedqtVnWwrUVKjHEgeB1nU5tn9rTvNsWDd8aSvt5vGasDbHG56J5wKCni8VoDxR14oWSFomR42iv1eYqKp+BxdWyV0PrsxHVDiIqsvVOvJP7GEaqJBSynm2bkmJNozoc6TCZ7nw1udZ/MgRlIWwJ2Cp9TsDGssCftLW4726ooNXaUUyq+mcd4wK5xw+skxoLP/6/34bnRQ+cvwN3Pqm5zn/x0f4pXf+DpfzaT67cicbWZPNpMHK6Rk5rxjaiwIDD/tyPbqHA3oHPVOnpcz8sw99jF/+3PfQWtQ88yd3SEKy6fGHEja6Le78rYc5/mPv48HH3iXXvJBoaOU7MpG6vpH7fpcnKXcFknJSzfoH1Hdi9i5AmuIzIaH1RYG+6xhqsweF9FH4PJcuzjSDIBDUJFDcd3stdBtf2MS1Y/RGHwKDGgii1Lcawx9kaVUqJLaEdAcBy991lNZSQd7R5E3Z1/SzJZKyhA6Pckj60GDbEd5ogs1Eqh6bCflsC4DouUv4iTZqkOKbsYzDaCi7OTdetUDekrIkULYRIwCj0uJ1z/SzwknpQi2OLtRkk6ZWGgsGdggB10r6RzKLbYXSWxGabb0YwVJ3SMYLcq1bDcgLfByBUazcN83mUUnKprOO9jlN93ZBUs5/WaYyM89aovWSSKaCL2tFPmEItmyNW3Chpmhqos0CnVqCNenALWbbeK0Il7c48WPzmL6AqubvF+G2CyfnoWmZ+VJEY82XZD+K3gHNxBlHkLoa0wKUIDZxhHU0VwWThTjGoqlpn+7KvWQkcXnuoelar3XtXsuBz0iEGSRlF29Dpl8VdLuKUD//nvdz9KM/RXzZkM5bJp4zPPGef3LdSMqp5n7/utvfcT2b8qkn/tV17/cbabskghBTQSBks6oopxZS0lOBGYZa1pX09koEfyuMQqxrByEPhEGHgTQelW/Kik4eQCkt+/EeMGAMQSL8hF5JVSLseXnYCocPNDbUhPkQ8elDgw9L8ZlAU7RCdL+McED2b/T2ZYSev3tY6NaLlidek6qImxzOy03u2Tokpc5gYEeYm6Tb0yvIpuQnrH5Ir8CHWrBUkUbnpi7jArjAEJgh1T5IZO0DjbIa35Br1juoyI8NCE9KQ1L/gKN1Vo6ydVjyGyZxdbemKp9ErxXppEGnQ2CTC8rvck/ofM37mXcCcRCrmm95/Qme+ZM7KG5L6H18H5vHHO3DXfoXO/QOgraKqCv5o5njBcm0wUaSBK44IfO2JuoOc021QliJIq0IZn3F8VlKDvQPunLqoZj5qiHrlFFBMIywioaqHUQVmR796E9x8vt/jXu//HZeOb/IV9fvvPGb/iZiHK7Hdo+DUAoCA9qgjKmbtlwkDqIm57C23q5yFCiNyV2NkfChwZf6Ej40+MDU31emy4dV1TeLwcZykzfWLIky5E2Z57vQiPPx5T7KH9WFBhuWD3DFAmVM7agwumQdMvW/aF2fQ7QpJLETZwBkDmytZOyLpuQPGstCkOMiXYOJXDAEFGnr5bsyQqj4IPBly3Woh38DJaTZbONC9OW4VTD8LuhBcKZB56x0lyYL8h3A1q0OVQhkvSqjjkYQynpcPMxruLAcp6J2psOxiHP66rmDzJz3FO0GtgHt85qtqE3rXFVpkvC/SvZWyl8yFSpP3XHFZ0A4NB01wSyBQNVdoEseUCWUcgU0Vn2Nnal6LFxTSpnKUyc0dSGq5VUJ9OXvfzfmJTACjHEQf1kbRVTuSBrKupzCYE9E0LMEPYtKLaaX40u6uKuiLKt96OElqGri60dDYXuuVKcLoV23sd5eeajGVz6sNtbb0Z6MbjdyTuVYegekGtK9TcqRvYNCjWYbMpaw7+neVj5g+RAFqayvKyE20vIWL7Povj7Xap1t/+/CavyK7chIGZqLDC7QpLMSJay8Nqe/32Nj4UjIO9A+p2mfl3Lh6HF9nVSlXh+iIkvHNXINhmNXuLWY5ddYigMpZgC9wxZVKPq3Z+QdqX7kLYHaBwOBvFNei+p623B7RUF4Kah/ExeqOscyeo28FiyJSRBx55Fr5pVEdKMIVG3Llvd5y13zi7z8/e/m6Xf9KvnUDT7snhrP8qLLTbLdE0F4X4OcfN2k5TGbSQ2awnt8YVG6kJyEUjXXQ7ReEK0luChA5YVwAUTSX6HKzs6KxwEo96Nr/QxVWBpLGelkg8mzBWFXdCN1PgRPmWYg4Kxyvq+VSLcpq9FZgUmFxarmg6h4FgoL1b+6PM+8QHnpmpw5LtvnHZEFnDhna3KYzplQNElzhzaqbrAKuik+NKTTLXTq0KVSlrQ5l0CwUL7XI2SvgIz/KnwQFBadWXygSQ9l7P1sgFdCITeY07SW5BjJjCLqesJeUT/0FX7Ba0V6WNNYyYd0cU6xeSSk8Ww+BDpVTsnJeGYeL7kvwoB40xE9okssh+bwPzzBxSePia5n7om6OZceMDSXNJ3zVkR1Aujv08w+41i5R9VTDJMKv0Rj2aOXvFDTF9v5IGbvXuYf3/4Z3vvzP0hj1XL+jQHNRVX3VlQOKCsZpeJVz8p3ZEw8FvPV9TsxOdz5nx7m+I++D/MzN3TTj5OU1zUIpZaAHrB8s8fyl7B5vrnHD+Nz+EbYLd77Pdez4VRjn3/94R+9rp1+8sS/+eubpPTe71FKfeVmXIBvlH2zjx/G53BTbBe8oF/IdoWDGNvY/lpamXzdzTZ2EGMb200zAQDuZttNDuIlEXDuIvtmHz+Mz+G/r1VVjF1su8ZBvFSG3t1i3+zjh/E53BQb5yDGNraxXdPGDmJsYxvb1W334yDGDmJsY7tZ5qnJh3erjR3E2MZ2M20cQYxtbGO7po0dxNjGNrarmvfSd7SLbewgxja2m2ljJOXYxja2a9p4ijG2sY3tqjYiobhbbewgxja2m2njCGJsYxvbtcyPI4ixjW1sV7cxknJsYxvbtcxTUybuVhs7iLGN7SaZB/y4zDm2sY3tqubHhDFjG9vYXsB2ewSxK1itxza2v46mlPokwsJ9PbbsvX/LX+V4rmZjBzG2sY3tmrb7lbXGNrax3TQbO4ixjW1s17Sxgxjb2MZ2TRs7iLGNbWzXtLGDGNvYxnZNGzuIsY1tbNe0sYMY29jGdk0bO4ixjW1s17Sxgxjb2MZ2Tfv/AaPRNAn4zUt0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978c6dc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 8.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 2696.37it/s]\n",
      "calculating kernels:  97%|█████████▋| 16317/16836.0 [00:00<00:00, 15728.06it/s]\n",
      " --- kernel matrix of path kernel up to 8 of size 183 built in 0.9730942249298096 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 18615.94it/s]\n",
      "[[ 1.          0.42857143  0.14285714 ...,  0.05263158  0.04166667\n",
      "   0.03571429]\n",
      " [ 0.42857143  1.          0.11111111 ...,  0.04761905  0.03846154\n",
      "   0.03333333]\n",
      " [ 0.14285714  0.11111111  1.         ...,  0.25        0.19047619  0.16      ]\n",
      " ..., \n",
      " [ 0.05263158  0.04761905  0.25       ...,  1.          0.37037037  0.28125   ]\n",
      " [ 0.04166667  0.03846154  0.19047619 ...,  0.37037037  1.          0.35294118]\n",
      " [ 0.03571429  0.03333333  0.16       ...,  0.28125     0.35294118  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97a787cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 8.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 2387.14it/s]\n",
      "calculating kernels:  95%|█████████▍| 15965/16836.0 [00:00<00:00, 18726.61it/s]\n",
      " --- kernel matrix of path kernel up to 8 of size 183 built in 0.9362361431121826 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 19610.03it/s]\n",
      "[[ 1.          0.45454545  0.2        ...,  0.03225806  0.03278689\n",
      "   0.02985075]\n",
      " [ 0.45454545  1.          0.14285714 ...,  0.03030303  0.03076923\n",
      "   0.02816901]\n",
      " [ 0.2         0.14285714  1.         ...,  0.10344828  0.10526316\n",
      "   0.0952381 ]\n",
      " ..., \n",
      " [ 0.03225806  0.03030303  0.10344828 ...,  1.          0.40243902\n",
      "   0.3908046 ]\n",
      " [ 0.03278689  0.03076923  0.10526316 ...,  0.40243902  1.          0.44578313]\n",
      " [ 0.02985075  0.02816901  0.0952381  ...,  0.3908046   0.44578313  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978c650b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 9.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 2988.94it/s]\n",
      "calculating kernels:  96%|█████████▌| 16202/16836.0 [00:00<00:00, 16129.73it/s]\n",
      " --- kernel matrix of path kernel up to 9 of size 183 built in 0.9728207588195801 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 18488.86it/s]\n",
      "[[ 1.          0.42857143  0.14285714 ...,  0.05263158  0.04166667\n",
      "   0.03333333]\n",
      " [ 0.42857143  1.          0.11111111 ...,  0.04761905  0.03846154  0.03125   ]\n",
      " [ 0.14285714  0.11111111  1.         ...,  0.25        0.19047619\n",
      "   0.14814815]\n",
      " ..., \n",
      " [ 0.05263158  0.04761905  0.25       ...,  1.          0.37037037\n",
      "   0.26470588]\n",
      " [ 0.04166667  0.03846154  0.19047619 ...,  0.37037037  1.          0.33333333]\n",
      " [ 0.03333333  0.03125     0.14814815 ...,  0.26470588  0.33333333  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978d4e278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 9.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 2951.21it/s]\n",
      "calculating kernels:  93%|█████████▎| 15681/16836.0 [00:00<00:00, 18424.91it/s]\n",
      " --- kernel matrix of path kernel up to 9 of size 183 built in 0.9399480819702148 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 19201.99it/s]\n",
      "[[ 1.          0.45454545  0.2        ...,  0.03225806  0.03278689\n",
      "   0.02898551]\n",
      " [ 0.45454545  1.          0.14285714 ...,  0.03030303  0.03076923\n",
      "   0.02739726]\n",
      " [ 0.2         0.14285714  1.         ...,  0.10344828  0.10526316\n",
      "   0.09230769]\n",
      " ..., \n",
      " [ 0.03225806  0.03030303  0.10344828 ...,  1.          0.40243902\n",
      "   0.38202247]\n",
      " [ 0.03278689  0.03076923  0.10526316 ...,  0.40243902  1.          0.43529412]\n",
      " [ 0.02898551  0.02739726  0.09230769 ...,  0.38202247  0.43529412  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978b8c2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 10.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 3043.96it/s]\n",
      "calculating kernels:  98%|█████████▊| 16557/16836.0 [00:00<00:00, 15571.14it/s]\n",
      " --- kernel matrix of path kernel up to 10 of size 183 built in 0.9549744129180908 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 18839.77it/s]\n",
      "[[ 1.          0.42857143  0.14285714 ...,  0.05263158  0.04166667\n",
      "   0.03225806]\n",
      " [ 0.42857143  1.          0.11111111 ...,  0.04761905  0.03846154\n",
      "   0.03030303]\n",
      " [ 0.14285714  0.11111111  1.         ...,  0.25        0.19047619\n",
      "   0.14285714]\n",
      " ..., \n",
      " [ 0.05263158  0.04761905  0.25       ...,  1.          0.37037037\n",
      "   0.25714286]\n",
      " [ 0.04166667  0.03846154  0.19047619 ...,  0.37037037  1.          0.32432432]\n",
      " [ 0.03225806  0.03030303  0.14285714 ...,  0.25714286  0.32432432  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97a6d9d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 10.0} is: \n",
      "getting paths: 100%|██████████| 183/183 [00:00<00:00, 3028.92it/s]\n",
      "calculating kernels:  93%|█████████▎| 15722/16836.0 [00:00<00:00, 18878.76it/s]\n",
      " --- kernel matrix of path kernel up to 10 of size 183 built in 0.9325990676879883 seconds ---\n",
      "calculating kernels: 100%|██████████| 16836/16836.0 [00:00<00:00, 19328.16it/s]\n",
      "[[ 1.          0.45454545  0.2        ...,  0.03225806  0.03278689\n",
      "   0.02857143]\n",
      " [ 0.45454545  1.          0.14285714 ...,  0.03030303  0.03076923\n",
      "   0.02702703]\n",
      " [ 0.2         0.14285714  1.         ...,  0.10344828  0.10526316\n",
      "   0.09090909]\n",
      " ..., \n",
      " [ 0.03225806  0.03030303  0.10344828 ...,  1.          0.40243902\n",
      "   0.37777778]\n",
      " [ 0.03278689  0.03076923  0.10526316 ...,  0.40243902  1.          0.43023256]\n",
      " [ 0.02857143  0.02702703  0.09090909 ...,  0.37777778  0.43023256  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978cae828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "22 gram matrices are calculated, 0 of which are ignored.\n",
      "\n",
      "3. Fitting and predicting using nested cross validation. This could really take a while...\n",
      "calculate performance:   0%|          | 3/27060 [00:00<18:30, 24.36it/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",
      "best_params_out:  [{'k_func': 'MinMax', 'depth': 3.0}]\n",
      "best_params_in:  [{'alpha': 0.10000000000000001}]\n",
      "\n",
      "best_val_perf:  10.9812536451\n",
      "best_val_std:  0.861232753185\n",
      "final_performance:  10.1842075866\n",
      "final_confidence:  3.12923259501\n",
      "train_performance:  5.61922024304\n",
      "train_std:  0.230901504969\n",
      "\n",
      "time to calculate gram matrix with different hyperpapams: 0.72±0.26\n",
      "time to calculate best gram matrix:  0.6698620319366455 s\n",
      "\n",
      "params                                                      train_perf           valid_perf                  test_perf                      gram_matrix_time\n",
      "----------------------------------------------------------  -------------------  --------------------------  ---------------------------  ------------------\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 0.0}     11.72±2.10           92814385.16±242556339.77    78600608.09±199250102.40                   0.44\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           44690392.23±179679716.39    41014301.88±164893771.02                   0.22\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 1.0}     105.62±137.57        238339560.63±452236057.25   309475332.66±779309582.14                  0.57\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 2.0}   51.45±44.26          1425851584.60±900093063.11  1586290825.33±4418987596.32                0.33\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 2.0}     98.00±50.67          4218.20±4151.86             3194.42±6673.99                            0.61\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 3.0}   329.49±229.08        2668267.76±13979272.21      1794130.25±9203452.67                      0.49\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 3.0}     54.63±25.67          623.46±388.89               540.37±568.43                              0.67\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 4.0}   396.56±211.40        27736.88±21125.76           41987.11±81398.97                          0.64\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 4.0}     43.32±22.68          453.79±233.86               625.22±627.50                              0.77\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 5.0}   296.63±174.84        15269.73±15527.01           18703.63±38479.32                          0.79\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 5.0}     50.15±29.63          658.10±962.15               456.40±600.07                              0.84\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 6.0}   463.97±261.96        27571.47±24849.99           33297.80±63758.04                          0.87\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 6.0}     56.68±45.05          692.62±1099.39              615.61±708.64                              0.85\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 7.0}   500.45±259.78        38544.97±35070.08           53454.07±112006.28                         0.95\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 7.0}     42.60±27.02          479.88±381.98               318.07±326.35                              0.91\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 8.0}   464.22±323.39        21876.52±19384.46           23863.57±54880.83                          0.97\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 8.0}     54.06±25.56          559.01±418.38               545.20±548.97                              0.94\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 9.0}   488.34±243.36        18617.12±13435.23           18484.54±33316.65                          0.97\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 9.0}     60.95±42.34          690.03±591.32               895.52±1479.86                             0.94\n",
      "{'alpha': '1.00e-10', 'k_func': 'tanimoto', 'depth': 10.0}  447.18±216.72        18711.03±17980.23           16306.86±23468.33                          0.95\n",
      "{'alpha': '1.00e-10', 'k_func': 'MinMax', 'depth': 10.0}    57.26±29.03          514.92±290.17               555.99±608.74                              0.93\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 0.0}     12.62±6.98           29362058.40±76729270.44     24865791.07±63031751.09                    0.44\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           14131850.77±56818778.28     12969411.78±52143130.50                    0.22\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 1.0}     313.92±438.82        78901843.43±141851617.01    103050770.41±258548549.43                  0.57\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 2.0}   56.59±62.29          450791635.38±284346951.03   501833409.33±1398073406.19                 0.33\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 2.0}     284.99±189.47        15626.23±17418.59           10980.96±24231.01                          0.61\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 3.0}   917.18±760.66        1179548.05±4597078.70       848597.00±2952242.60                       0.49\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 3.0}     71.97±39.99          836.97±697.52               717.00±876.13                              0.67\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 4.0}   1184.68±750.32       106211.67±95617.21          148144.85±295881.70                        0.64\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 4.0}     60.30±40.10          584.81±461.01               805.43±811.84                              0.77\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 5.0}   846.27±616.03        47516.93±47852.08           52577.03±107110.70                         0.79\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 5.0}     69.03±63.35          941.71±1985.09              735.48±1608.97                             0.84\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 6.0}   1271.60±889.40       74975.46±82881.24           106044.24±209548.81                        0.87\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 6.0}     76.26±87.68          1202.16±3286.70             777.26±1117.15                             0.85\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 7.0}   1454.80±852.23       114722.28±95205.24          163713.63±357815.17                        0.95\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 7.0}     50.26±39.28          547.26±477.16               364.48±411.16                              0.91\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 8.0}   1232.59±1089.96      59032.93±54320.86           71728.69±175307.35                         0.97\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 8.0}     70.80±45.20          683.96±592.64               646.68±589.07                              0.94\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 9.0}   1391.07±790.42       57564.08±40464.00           52727.82±101864.66                         0.97\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 9.0}     77.33±71.43          893.03±1064.63              1207.61±2702.64                            0.94\n",
      "{'alpha': '3.16e-10', 'k_func': 'tanimoto', 'depth': 10.0}  1242.77±757.43       52074.17±56276.40           48351.04±76502.84                          0.95\n",
      "{'alpha': '3.16e-10', 'k_func': 'MinMax', 'depth': 10.0}    73.74±55.51          579.40±325.72               701.22±904.88                              0.93\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 0.0}     15.46±22.54          9285292.38±24263954.30      7863427.43±19932397.67                     0.44\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           4469735.45±17969802.38      4102072.47±16491060.58                     0.22\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 1.0}     972.85±1391.61       36765597.17±46417633.48     50018459.46±124863314.53                   0.57\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 2.0}   56.59±62.29          142552683.53±89919108.10    158684663.63±442068091.61                  0.33\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 2.0}     809.34±544.13        44083.04±44109.54           29318.76±57975.73                          0.61\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 3.0}   2697.63±2474.07      1439596.10±2322121.35       1131710.80±2431308.20                      0.49\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 3.0}     97.17±83.39          1180.33±1586.14             816.58±909.96                              0.67\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 4.0}   3413.20±2418.30      324118.95±319882.48         427713.29±833395.14                        0.64\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 4.0}     79.06±75.61          829.34±1359.01              1078.92±1580.00                            0.77\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 5.0}   2683.29±2057.03      145440.83±134201.89         166786.18±327836.00                        0.79\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 5.0}     101.41±150.93        1191.13±3033.15             1380.21±4492.14                            0.84\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 6.0}   3655.02±2876.20      238750.99±223730.38         347129.21±688102.13                        0.87\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 6.0}     93.74±136.02         1874.55±6582.35             872.42±1376.90                             0.85\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 7.0}   4452.75±2975.98      390692.08±304937.95         526712.36±1070994.31                       0.95\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 7.0}     50.73±39.72          548.99±477.19               366.36±411.00                              0.91\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 8.0}   3890.31±3802.22      208489.24±211217.65         239767.17±608825.37                        0.97\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 8.0}     102.53±117.51        873.73±1232.05              760.44±685.57                              0.94\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 9.0}   4186.36±2670.79      175915.44±133323.12         159545.34±318016.52                        0.97\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 9.0}     89.27±110.43         945.25±1152.18              1250.93±2781.72                            0.94\n",
      "{'alpha': '1.00e-09', 'k_func': 'tanimoto', 'depth': 10.0}  3970.66±2434.42      187279.58±196744.15         165174.81±264192.31                        0.95\n",
      "{'alpha': '1.00e-09', 'k_func': 'MinMax', 'depth': 10.0}    80.84±70.03          606.04±357.30               760.01±1052.24                             0.93\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 0.0}     24.45±71.78          2936507.83±7672834.11       2486852.98±6303084.43                      0.44\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           1413445.06±5682436.00       1297183.06±5214828.41                      0.22\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 1.0}     2238.58±2958.38      22927212.76±19216773.38     35804275.97±92052502.84                    0.57\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 2.0}   56.58±62.23          45079127.62±28431995.22     50183060.45±139803106.64                   0.33\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 2.0}     2229.21±1767.02      122041.52±139063.61         90782.54±193278.22                         0.61\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 3.0}   8279.81±8094.13      3796166.44±4380461.59       3062281.07±7313169.59                      0.49\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 3.0}     125.73±167.39        1443.84±2333.36             917.63±1004.20                             0.67\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 4.0}   10934.75±7901.65     916188.11±778576.76         1436068.54±2699348.32                      0.64\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 4.0}     83.42±86.56          932.05±1799.77              1120.16±1611.97                            0.77\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 5.0}   8310.15±6979.92      456297.29±433469.31         523104.41±1061446.02                       0.79\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 5.0}     123.25±210.71        1275.79±3333.83             1719.10±5456.52                            0.84\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 6.0}   11912.60±8674.61     876197.04±865131.93         1160953.01±2129563.73                      0.87\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 6.0}     95.38±138.06         1887.93±6583.17             879.19±1378.36                             0.85\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 7.0}   14769.47±10083.57    1160168.62±934692.97        2325471.08±6651401.82                      0.95\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 7.0}     50.73±39.72          548.98±477.16               366.34±410.93                              0.91\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 8.0}   11522.45±11753.19    668557.59±760837.19         723746.60±1838073.78                       0.97\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 8.0}     134.15±214.40        966.09±1339.34              919.03±1119.78                             0.94\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 9.0}   12931.76±7493.00     604302.33±468416.18         527188.67±961726.02                        0.97\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 9.0}     119.15±258.73        1057.97±1506.01             1354.86±2979.11                            0.94\n",
      "{'alpha': '3.16e-09', 'k_func': 'tanimoto', 'depth': 10.0}  11669.25±8247.77     563579.37±625657.31         528390.04±858615.39                        0.95\n",
      "{'alpha': '3.16e-09', 'k_func': 'MinMax', 'depth': 10.0}    80.84±70.04          606.06±357.37               760.02±1052.46                             0.93\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 0.0}     52.88±227.49         929110.12±2426168.03        786864.76±1993030.33                       0.44\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           446995.34±1796938.26        410230.50±1649070.46                       0.22\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 1.0}     3259.61±4062.29      9760495.63±6030270.96       13522328.18±35363573.76                    0.57\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 2.0}   56.54±62.09          14256525.44±8989199.69      15871298.77±44216753.67                    0.33\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 2.0}     10384.46±9496.67     711825.28±978113.21         368083.60±624954.44                        0.61\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 3.0}   29275.98±43067.22    10521199.11±10572757.27     14104369.99±46041042.94                    0.49\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 3.0}     150.51±282.99        1513.24±2411.97             992.61±1186.59                             0.67\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 4.0}   68431.60±57785.59    8982240.07±18535005.25      7666392.18±15029695.74                     0.64\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 4.0}     83.39±86.48          930.92±1794.34              1119.64±1610.84                            0.77\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 5.0}   39347.80±66979.14    2533666.53±6244061.14       4926359.05±17464641.78                     0.79\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 5.0}     179.09±465.86        1365.72±3382.81             2314.22±6988.83                            0.84\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 6.0}   53213.05±61955.93    4169393.27±5950337.23       5506303.48±12130506.80                     0.87\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 6.0}     95.38±138.08         1888.37±6585.68             879.19±1378.45                             0.85\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 7.0}   46144.79±35829.20    4131124.80±3139222.41       5077236.69±9093095.79                      0.95\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 7.0}     50.73±39.72          548.98±477.16               366.34±410.91                              0.91\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 8.0}   48354.43±48378.04    4029416.03±6174957.56       2812607.02±6097896.77                      0.97\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 8.0}     136.17±223.70        970.20±1342.38              929.84±1167.47                             0.94\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 9.0}   60361.87±83506.55    3074410.39±4756071.40       3395991.07±10759778.98                     0.97\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 9.0}     213.60±769.66        1413.95±3201.02             1682.89±4087.57                            0.94\n",
      "{'alpha': '1.00e-08', 'k_func': 'tanimoto', 'depth': 10.0}  53731.75±77529.44    2581910.48±4047357.64       4023459.78±14369496.24                     0.95\n",
      "{'alpha': '1.00e-08', 'k_func': 'MinMax', 'depth': 10.0}    80.84±70.04          606.07±357.37               760.01±1052.32                             0.93\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 0.0}     142.78±719.89        295141.39±766733.19         250014.14±629804.81                        0.44\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           141379.98±568240.86         129754.11±521483.26                        0.22\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 1.0}     2823.26±4285.21      3878733.59±1885632.65       4658206.50±11773519.37                     0.57\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 2.0}   56.40±61.63          4509501.98±2840827.83       5020879.86±13989468.82                     0.33\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 2.0}     47935.83±66281.70    1273742.32±1752548.31       874531.44±1645675.67                       0.61\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 3.0}   43884.86±44936.13    8499386.13±6250347.97       10938209.91±28625354.55                    0.49\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 3.0}     152.67±293.91        1518.91±2418.97             999.21±1207.96                             0.67\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 4.0}   233191.23±266998.96  9512562.62±5966273.73       16457419.09±27384922.85                    0.64\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 4.0}     83.32±86.39          927.60±1776.95              1118.42±1608.32                            0.77\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 5.0}   181150.51±197515.77  5770798.45±4527857.67       6237708.87±12667390.55                     0.79\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 5.0}     190.36±524.19        1383.27±3397.30             2432.98±7429.98                            0.84\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 6.0}   249473.06±295522.90  7053757.19±7418945.43       18907279.61±48481090.99                    0.87\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 6.0}     95.38±138.10         1889.06±6589.85             879.09±1378.29                             0.85\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 7.0}   289396.23±256652.71  12533830.99±19368249.99     18338681.06±35507286.54                    0.95\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 7.0}     50.73±39.72          548.98±477.16               366.33±410.86                              0.91\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 8.0}   206725.09±253639.93  14542010.40±21639595.16     10721697.23±24846409.72                    0.97\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 8.0}     136.12±223.55        969.65±1339.76              929.72±1167.01                             0.94\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 9.0}   304705.16±447830.47  10174817.82±11436271.16     19245296.40±45154738.47                    0.97\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 9.0}     315.66±1327.32       1798.52±5236.11             2037.01±5694.63                            0.94\n",
      "{'alpha': '3.16e-08', 'k_func': 'tanimoto', 'depth': 10.0}  272170.57±279543.36  18144351.75±31080006.12     7830205.29±14544670.65                     0.95\n",
      "{'alpha': '3.16e-08', 'k_func': 'MinMax', 'depth': 10.0}    80.85±70.04          606.08±357.37               760.05±1052.31                             0.93\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 0.0}     186.45±959.08        94817.47±242064.08          80384.19±198804.24                         0.44\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           44735.88±179692.63          41059.66±164908.88                         0.22\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 1.0}     899.30±1354.41       1226158.40±596771.07        1478641.75±3724703.41                      0.57\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 2.0}   56.00±60.22          1427166.47±896527.67        1589597.03±4430542.19                      0.33\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 2.0}     57728.55±66368.59    1113987.15±1613781.95       1176519.83±3075644.15                      0.61\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 3.0}   41816.84±53999.40    3435730.10±2505786.06       15870891.20±74270324.93                    0.49\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 3.0}     160.88±335.96        1540.68±2450.95             1024.26±1294.98                            0.67\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 4.0}   196917.97±166940.89  5538558.64±4434735.77       14129923.79±33130682.62                    0.64\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 4.0}     83.13±86.09          917.48±1724.41              1114.78±1601.29                            0.77\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 5.0}   234393.31±212391.85  5124497.50±5148836.39       5917263.47±10072161.82                     0.79\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 5.0}     185.09±497.46        1372.56±3373.26             2371.71±7196.11                            0.84\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 6.0}   307924.29±299864.81  5129606.10±4767583.62       8333833.24±11106344.24                     0.87\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 6.0}     95.38±138.18         1891.28±6603.04             878.76±1377.67                             0.85\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 7.0}   459348.44±654947.96  9549852.20±13588073.64      15447268.70±44141638.62                    0.95\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 7.0}     50.73±39.72          548.99±477.18               366.32±410.73                              0.91\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 8.0}   306378.69±345192.72  10701109.99±12010800.55     5953820.61±7988863.92                      0.97\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 8.0}     135.98±223.15        967.93±1331.47              929.41±1165.90                             0.94\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 9.0}   409257.61±474727.59  8805945.42±7565244.81       7460025.64±8922773.94                      0.97\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 9.0}     296.87±1224.62       1727.16±4856.42             1970.11±5377.74                            0.94\n",
      "{'alpha': '1.00e-07', 'k_func': 'tanimoto', 'depth': 10.0}  478475.18±513172.97  12437489.02±13624484.72     13093236.36±23781807.78                    0.95\n",
      "{'alpha': '1.00e-07', 'k_func': 'MinMax', 'depth': 10.0}    80.86±70.05          606.15±357.42               760.18±1052.43                             0.93\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 0.0}     66.69±303.13         30101.82±76507.68           25529.13±62830.10                          0.44\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           14174.32±56822.83           13012.00±52150.11                          0.22\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 1.0}     291.23±427.40        387750.22±188599.30         475474.31±1181161.96                       0.57\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 2.0}   54.83±56.20          452384.50±281827.64         504337.68±1407058.16                       0.33\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 2.0}     35888.29±65938.35    797966.13±1888112.11        563951.41±1300625.91                       0.61\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 3.0}   19205.62±27840.84    1148208.19±925252.94        5098647.98±23767014.23                     0.49\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 3.0}     223.24±668.06        1711.43±2899.72             1213.61±2130.51                            0.67\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 4.0}   171938.26±186318.39  4138307.83±8826285.42       6513090.72±17027788.29                     0.64\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 4.0}     82.56±85.25          889.20±1578.58              1104.28±1580.79                            0.77\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 5.0}   211119.25±220353.69  3208881.33±4626153.64       3546050.16±5509698.76                      0.79\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 5.0}     171.55±429.80        1344.04±3306.55             2211.91±6608.69                            0.84\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 6.0}   255506.82±324730.95  3934229.27±4871294.68       5275976.11±8310878.56                      0.87\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 6.0}     95.38±138.41         1898.41±6645.27             877.76±1375.86                             0.85\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 7.0}   308705.82±296796.70  5180983.96±5485831.12       8797472.19±24725601.34                     0.95\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 7.0}     50.74±39.71          549.01±477.22               366.29±410.32                              0.91\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 8.0}   329998.38±328944.65  10326657.50±13875209.42     4977464.62±5657546.44                      0.97\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 8.0}     135.57±221.99        962.73±1306.22              928.53±1162.72                             0.94\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 9.0}   381681.40±400498.24  8581549.38±14644798.43      6013578.80±8979353.23                      0.97\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 9.0}     253.01±985.13        1560.23±3975.93             1812.74±4657.25                            0.94\n",
      "{'alpha': '3.16e-07', 'k_func': 'tanimoto', 'depth': 10.0}  510864.68±463058.85  9376467.39±8919247.16       11598341.45±20409768.43                    0.95\n",
      "{'alpha': '3.16e-07', 'k_func': 'MinMax', 'depth': 10.0}    80.90±70.08          606.35±357.56               760.61±1052.78                             0.93\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 0.0}     28.81±95.70          9627.61±24165.77            8173.89±19842.90                           0.44\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           4509.91±17967.99            4142.55±16492.65                           0.22\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 1.0}     134.23±226.90        138260.26±82771.01          492478.50±1942691.77                       0.57\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 2.0}   51.96±46.59          143960.74±87785.04          160713.05±449386.67                        0.33\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 2.0}     19285.07±46584.43    339587.85±744879.23         194457.60±413419.27                        0.61\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 3.0}   7354.17±11250.47     380257.06±286304.29         1620438.76±7479965.19                      0.49\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 3.0}     153.52±297.75        1506.17±2315.84             1004.65±1220.99                            0.67\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 4.0}   119808.53±208047.73  1539677.53±2975470.35       2488118.58±5714725.96                      0.64\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 4.0}     81.23±83.36          825.52±1257.33              1078.71±1528.63                            0.77\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 5.0}   204477.56±340959.65  3611645.57±11499986.70      2981689.93±8710673.51                      0.79\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 5.0}     146.23±308.82        1284.43±3144.08             1897.72±5542.08                            0.84\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 6.0}   205362.09±313002.83  3006301.38±5553059.36       3586332.63±7075324.55                      0.87\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 6.0}     95.41±139.25         1921.81±6782.91             874.84±1370.98                             0.85\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 7.0}   271189.11±358310.35  3640804.22±6558884.11       3871382.91±7959987.36                      0.95\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 7.0}     50.75±39.69          549.11±477.38               366.21±409.01                              0.91\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 8.0}   468974.42±719289.79  14420885.30±29076660.75     4645308.56±6818832.27                      0.97\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 8.0}     134.38±218.65        947.82±1234.35              926.06±1153.14                             0.94\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 9.0}   302401.43±482010.47  4104172.17±8203741.57       3383242.81±5868267.66                      0.97\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 9.0}     184.51±612.01        1297.21±2629.50             1559.83±3602.18                            0.94\n",
      "{'alpha': '1.00e-06', 'k_func': 'tanimoto', 'depth': 10.0}  503098.27±718031.08  6121082.01±8169834.21       9096423.38±23136798.67                     0.95\n",
      "{'alpha': '1.00e-06', 'k_func': 'MinMax', 'depth': 10.0}    81.02±70.19          607.01±358.02               761.99±1053.92                             0.93\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 0.0}     16.83±30.11          3130.78±7636.50             2665.19±6271.70                            0.44\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           1453.76±5681.01             1337.79±5216.78                            0.22\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 1.0}     37.90±42.14          39646.49±17914.67           50043.89±120230.07                         0.57\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 2.0}   46.99±30.60          46104.24±27017.39           51432.30±144293.85                         0.33\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 2.0}     9066.12±29878.60     116833.42±275329.09         63417.95±133910.71                         0.61\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 3.0}   2286.19±2825.71      124742.80±90404.89          511458.47±2332115.55                       0.49\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 3.0}     112.27±110.38        1372.89±2019.21             887.97±984.76                              0.67\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 4.0}   31997.23±49192.43    448879.30±910475.17         774643.85±1801278.69                       0.64\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 4.0}     79.01±79.91          732.46±822.62               1031.45±1411.34                            0.77\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 5.0}   117083.56±282584.83  1400106.23±4274174.09       1274473.63±3446384.89                      0.79\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 5.0}     117.54±187.61        1196.75±2800.38             1483.78±4193.72                            0.84\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 6.0}   108272.07±187243.70  1410521.52±2581994.72       1899079.62±4480045.61                      0.87\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 6.0}     95.78±142.88         2004.71±7262.16             867.97±1363.61                             0.85\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 7.0}   127628.91±200852.98  1339912.36±2239593.85       1413069.82±2547320.42                      0.95\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 7.0}     50.82±39.67          549.48±477.97               366.04±405.02                              0.91\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 8.0}   339503.61±873300.61  5866543.27±11820034.56      2197951.89±3456079.47                      0.97\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 8.0}     131.62±210.53        912.26±1065.92              920.61±1126.47                             0.94\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 9.0}   128376.87±259481.83  1390193.25±2685338.76       1214368.79±2160239.54                      0.97\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 9.0}     124.29±287.52        1057.78±1517.61             1310.97±2717.35                            0.94\n",
      "{'alpha': '3.16e-06', 'k_func': 'tanimoto', 'depth': 10.0}  264956.53±457749.50  2725465.43±5211066.49       4929913.91±13895927.65                     0.95\n",
      "{'alpha': '3.16e-06', 'k_func': 'MinMax', 'depth': 10.0}    81.41±70.54          609.13±359.50               766.47±1057.65                             0.93\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 0.0}     13.04±9.38           1040.72±2428.88             890.53±1998.81                             0.44\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           487.31±1795.52              450.84±1651.04                             0.22\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 1.0}     18.83±13.07          12810.74±5521.14            15915.12±38208.61                          0.57\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 2.0}   41.84±14.68          14816.54±8320.81            16448.62±46230.50                          0.33\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 2.0}     2598.00±6689.58      40013.41±100010.65          21421.53±45241.40                          0.61\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 3.0}   737.04±853.76        43297.40±30949.55           159989.68±706777.61                        0.49\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 3.0}     119.77±125.42        1443.99±1934.06             1020.03±1348.67                            0.67\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 4.0}   12277.13±24612.55    140505.45±280751.03         289446.32±659826.93                        0.64\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 4.0}     77.00±73.56          661.66±556.61               966.60±1175.26                             0.77\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 5.0}   64522.68±209425.72   635703.84±2194642.00        698440.52±2077992.34                       0.79\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 5.0}     100.00±126.58        1165.40±2402.33             1107.87±2685.49                            0.84\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 6.0}   101230.12±301605.87  2404904.67±9587507.52       961184.57±2272971.12                       0.87\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 6.0}     99.83±165.50         2386.66±9393.78             868.53±1421.54                             0.85\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 7.0}   41711.43±66870.00    441250.92±711416.10         426281.22±737844.27                        0.95\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 7.0}     51.30±40.11          551.70±480.68               366.81±393.86                              0.91\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 8.0}   145285.85±383491.33  2539350.80±6534624.31       999051.08±2116705.09                       0.97\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 8.0}     128.81±198.65        861.44±826.82               921.54±1072.69                             0.94\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 9.0}   42945.92±85266.37    457408.42±867388.97         435011.44±862611.63                        0.97\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 9.0}     93.30±126.49         921.16±980.93               1130.92±2035.17                            0.94\n",
      "{'alpha': '1.00e-05', 'k_func': 'tanimoto', 'depth': 10.0}  234418.01±921225.43  2628821.96±11005618.70      1592201.04±4500217.04                      0.95\n",
      "{'alpha': '1.00e-05', 'k_func': 'MinMax', 'depth': 10.0}    82.79±71.84          616.44±364.59               782.13±1070.93                             0.93\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 0.0}     11.83±2.84           351.02±778.69               302.94±643.13                              0.44\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           181.70±566.83               170.36±523.48                              0.22\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 1.0}     12.99±3.96           4199.37±1613.10             5321.64±12507.86                           0.57\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 2.0}   38.73±5.17           4755.65±2595.76             5251.36±14712.60                           0.33\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 2.0}     978.91±2604.69       13403.94±30958.56           7231.90±15048.33                           0.61\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 3.0}   277.70±278.46        23091.19±34284.21           57122.11±204479.74                         0.49\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 3.0}     127.36±191.21        2553.58±8439.06             1001.40±1502.68                            0.67\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 4.0}   11588.90±44961.42    48278.89±87612.72           200672.00±489151.10                        0.64\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 4.0}     85.21±79.50          1109.98±2918.04             1147.26±1524.17                            0.77\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 5.0}   16141.11±41602.81    261447.97±811737.92         178131.48±570075.32                        0.79\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 5.0}     237.38±876.73        1109.84±1765.76             1864.80±6250.11                            0.84\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 6.0}   7773.06±14603.12     125014.12±210726.06         138533.43±302584.04                        0.87\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 6.0}     526.35±2312.95       30506.47±162678.34          3282.95±14054.27                           0.85\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 7.0}   12492.33±19433.09    130258.74±198540.82         125207.14±201341.47                        0.95\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 7.0}     63.31±86.33          591.30±529.09               415.62±473.04                              0.91\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 8.0}   19705.49±45217.04    497885.57±1156235.51        175563.57±224783.93                        0.97\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 8.0}     457.26±1886.21       2059.83±7103.32             2491.36±8544.53                            0.94\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 9.0}   14394.35±29264.90    167588.55±303525.63         156523.82±274601.19                        0.97\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 9.0}     91.89±102.77         972.80±1010.16              1184.95±1996.53                            0.94\n",
      "{'alpha': '3.16e-05', 'k_func': 'tanimoto', 'depth': 10.0}  45356.13±124141.50   1296430.18±5915050.96       606415.57±1682981.95                       0.95\n",
      "{'alpha': '3.16e-05', 'k_func': 'MinMax', 'depth': 10.0}    89.32±79.72          648.18±387.66               855.42±1145.02                             0.93\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 0.0}     11.45±0.85           122.39±248.84               107.45±205.91                              0.44\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           85.05±178.28                81.67±166.99                               0.22\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 1.0}     11.20±1.19           1394.64±444.05              1838.20±4245.14                            0.57\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 2.0}   37.47±1.41           1535.04±815.98              1687.40±4657.88                            0.33\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 2.0}     169.25±292.71        3350.66±7665.69             2652.54±7187.49                            0.61\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 3.0}   176.96±184.22        28518.06±60743.51           47338.69±133677.63                         0.49\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 3.0}     182.78±497.54        1564.62±2863.30             984.82±1542.23                             0.67\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 4.0}   1808.81±3928.37      41812.05±148404.05          79198.59±286998.16                         0.64\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 4.0}     254.00±965.67        864.36±1198.14              1882.29±5521.00                            0.77\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 5.0}   4114.19±9446.03      41089.16±79316.13           24099.93±37106.79                          0.79\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 5.0}     115.59±185.00        1001.29±1459.48             1357.01±4183.70                            0.84\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 6.0}   2026.65±2667.79      22356.97±29818.77           36691.70±60069.48                          0.87\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 6.0}     90.51±113.71         1615.61±3790.37             728.43±842.85                              0.85\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 7.0}   4327.19±6131.85      48366.10±86401.98           69210.80±143006.67                         0.95\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 7.0}     53.92±47.24          616.92±667.21               399.22±403.85                              0.91\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 8.0}   6095.98±12914.59     163224.59±442721.94         48061.44±72017.63                          0.97\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 8.0}     117.41±126.28        1167.30±1744.24             1057.25±1393.64                            0.94\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 9.0}   6024.41±13693.31     58807.55±115132.17          58261.19±110949.09                         0.97\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 9.0}     87.09±77.51          909.30±903.19               858.67±958.58                              0.94\n",
      "{'alpha': '1.00e-04', 'k_func': 'tanimoto', 'depth': 10.0}  17694.31±50707.54    118689.92±284253.30         615337.73±3051285.94                       0.95\n",
      "{'alpha': '1.00e-04', 'k_func': 'MinMax', 'depth': 10.0}    116.30±122.77        834.88±683.13               1158.41±1544.82                            0.93\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 0.0}     11.34±0.42           48.09±78.93                 43.80±65.21                                0.44\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 1.0}   38.25±0.85           54.49±55.42                 53.62±54.47                                0.22\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 1.0}     10.69±0.46           464.32±127.29               631.26±1444.98                             0.57\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 2.0}   37.14±0.60           511.06±256.35               557.59±1467.45                             0.33\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 2.0}     129.64±277.03        1629.99±2273.48             1675.23±3503.28                            0.61\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 3.0}   90.99±91.72          4486.62±7900.13             5346.59±13592.75                           0.49\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 3.0}     184.17±343.01        1628.69±2958.01             2152.39±4134.33                            0.67\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 4.0}   360.85±454.60        5102.17±5369.15             11873.29±30602.71                          0.64\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 4.0}     160.39±488.55        790.00±1132.66              2572.40±8859.43                            0.77\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 5.0}   16818.46±88804.95    33203.48±127748.21          147385.28±759522.66                        0.79\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 5.0}     568.73±2566.58       5497.77±24073.15            4787.80±21540.43                           0.84\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 6.0}   1666.98±5725.35      21164.98±68290.05           18165.83±47324.02                          0.87\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 6.0}     110.22±178.88        2222.15±5940.65             1050.40±1628.97                            0.85\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 7.0}   60453.94±327024.49   350538.42±1875164.34        335407.33±1782300.24                       0.95\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 7.0}     57.75±56.18          697.41±741.69               365.90±296.12                              0.91\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 8.0}   5449.39±19263.02     180931.82±860613.90         27667.95±60695.55                          0.97\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 8.0}     102.41±148.84        870.52±1359.45              771.40±826.23                              0.94\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 9.0}   3609.63±8593.83      31472.72±92125.87           19648.05±35436.35                          0.97\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 9.0}     97.91±126.23         988.18±1147.35              1174.64±1466.66                            0.94\n",
      "{'alpha': '3.16e-04', 'k_func': 'tanimoto', 'depth': 10.0}  1470.91±1593.07      16032.66±20058.93           26306.07±60648.01                          0.95\n",
      "{'alpha': '3.16e-04', 'k_func': 'MinMax', 'depth': 10.0}    129.82±143.64        1067.38±1279.67             1114.09±1578.84                            0.93\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 0.0}     11.30±0.39           24.34±24.86                 23.43±20.47                                0.44\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 1.0}   38.24±0.85           44.82±16.61                 44.75±19.50                                0.22\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 1.0}     10.56±0.34           157.13±39.23                214.83±475.95                              0.57\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 2.0}   37.09±0.55           186.73±79.54                200.15±457.39                              0.33\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 2.0}     78.67±179.02         1865.17±4175.27             1668.29±3787.28                            0.61\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 3.0}   83.21±141.13         7197.72±31241.16            12277.50±45278.73                          0.49\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 3.0}     144.11±250.81        1543.70±2539.06             1005.65±1480.78                            0.67\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 4.0}   114.83±148.62        1406.63±1350.07             2774.19±7206.89                            0.64\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 4.0}     91.21±182.18         1368.02±3187.87             1957.37±5079.21                            0.77\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 5.0}   183.14±238.59        2916.71±5061.69             2255.04±3481.64                            0.79\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 5.0}     71.57±51.96          803.87±764.37               650.37±720.96                              0.84\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 6.0}   826.00±3081.32       2546.48±4466.45             6504.26±24309.26                           0.87\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 6.0}     84.24±121.18         1068.44±1617.84             727.53±825.36                              0.85\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 7.0}   268.15±392.68        2756.52±2524.50             3452.71±5441.02                            0.95\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 7.0}     86.69±116.26         1334.79±2345.85             746.43±1504.98                             0.91\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 8.0}   919.64±2013.27       9329.56±18368.90            8720.45±21253.94                           0.97\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 8.0}     123.95±172.41        1234.24±2268.59             1361.84±2472.38                            0.94\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 9.0}   3742.04±10646.23     10582.13±22541.17           17698.56±40765.81                          0.97\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 9.0}     311.35±743.39        5272.99±15592.57            2513.11±5030.03                            0.94\n",
      "{'alpha': '1.00e-03', 'k_func': 'tanimoto', 'depth': 10.0}  581.10±636.51        7704.50±12422.71            15610.74±55091.98                          0.95\n",
      "{'alpha': '1.00e-03', 'k_func': 'MinMax', 'depth': 10.0}    129.52±299.19        1084.33±1270.58             1733.20±5827.85                            0.93\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 0.0}     11.28±0.39           16.79±7.78                  16.96±6.63                                 0.44\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 1.0}   38.24±0.85           41.76±4.45                  41.95±9.57                                 0.22\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 1.0}     10.52±0.32           57.88±12.43                 77.07±152.29                               0.57\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 2.0}   37.08±0.55           84.23±23.66                 87.34±137.98                               0.33\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 2.0}     11.54±3.16           132.10±96.41                132.45±237.65                              0.61\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 3.0}   34.61±7.39           338.22±276.91               421.13±1016.98                             0.49\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 3.0}     288.41±666.24        5530.43±16818.39            2868.50±8429.68                            0.67\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 4.0}   37.88±23.45          402.86±375.80               599.36±1382.30                             0.64\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 4.0}     85.72±106.70         759.21±1102.52              1055.26±2107.15                            0.77\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 5.0}   62.18±77.60          824.82±1388.49              715.80±1203.49                             0.79\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 5.0}     58.35±48.65          574.00±396.50               440.77±367.16                              0.84\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 6.0}   172.93±390.54        751.59±686.98               936.39±1928.84                             0.87\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 6.0}     111.75±248.86        1130.19±1458.05             1452.52±4472.10                            0.85\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 7.0}   256.31±541.73        1377.67±1899.91             5526.71±21987.82                           0.95\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 7.0}     54.08±29.63          699.32±547.19               571.54±925.29                              0.91\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 8.0}   186.82±197.09        1626.09±1928.32             1132.34±1195.75                            0.97\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 8.0}     55.00±33.85          872.77±849.37               590.16±888.79                              0.94\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 9.0}   120.27±127.58        1638.63±3378.46             1027.42±1310.23                            0.97\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 9.0}     246.36±786.82        3200.02±10643.43            3219.36±9293.16                            0.94\n",
      "{'alpha': '3.16e-03', 'k_func': 'tanimoto', 'depth': 10.0}  243.14±353.59        2410.83±5592.24             3879.80±11147.33                           0.95\n",
      "{'alpha': '3.16e-03', 'k_func': 'MinMax', 'depth': 10.0}    67.06±63.04          727.05±615.22               798.61±1328.53                             0.93\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.76                                 0.14\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 0.0}     11.26±0.38           14.30±2.44                  14.84±2.96                                 0.44\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 1.0}   38.24±0.85           40.76±1.13                  41.07±7.34                                 0.22\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 1.0}     10.49±0.31           26.45±4.00                  32.88±47.57                                0.57\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 2.0}   37.05±0.55           52.08±6.18                  51.99±37.51                                0.33\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 2.0}     7.76±1.78            30.19±9.92                  25.78±25.54                                0.61\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 3.0}   29.78±1.67           99.89±32.66                 106.03±144.77                              0.49\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 3.0}     24.29±30.49          108.75±99.14                115.83±135.09                              0.67\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 4.0}   24.50±3.08           115.30±35.50                169.42±277.63                              0.64\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 4.0}     46.48±63.80          447.97±1169.90              332.20±438.07                              0.77\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 5.0}   21.51±8.22           107.29±50.91                126.88±133.11                              0.79\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 5.0}     73.56±111.04         375.57±455.86               446.18±902.20                              0.84\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 6.0}   31.31±27.74          264.16±505.43               167.74±161.64                              0.87\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 6.0}     68.58±187.14         456.95±1173.16              499.47±1412.95                             0.85\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 7.0}   35.94±30.55          302.12±498.55               264.87±355.04                              0.95\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 7.0}     409.92±1813.16       2435.15±10829.57            1683.51±6285.68                            0.91\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 8.0}   71.23±175.51         526.11±1324.92              450.98±1077.79                             0.97\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 8.0}     121.67±237.97        1037.84±3057.63             974.70±3213.67                             0.94\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 9.0}   53.08±59.14          360.25±397.51               348.92±408.36                              0.97\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 9.0}     60.61±81.08          360.30±251.39               410.53±698.99                              0.94\n",
      "{'alpha': '1.00e-02', 'k_func': 'tanimoto', 'depth': 10.0}  65.07±84.65          426.95±631.96               338.66±409.71                              0.95\n",
      "{'alpha': '1.00e-02', 'k_func': 'MinMax', 'depth': 10.0}    79.57±124.45         668.05±1119.39              491.69±780.27                              0.93\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.76±6.75                                 0.14\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 0.0}     11.25±0.36           13.30±0.89                  13.99±2.37                                 0.44\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 1.0}   38.23±0.84           40.34±0.99                  40.71±6.93                                 0.22\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 1.0}     10.47±0.28           16.59±1.31                  18.85±14.27                                0.57\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 2.0}   37.01±0.56           42.57±1.29                  41.27±8.13                                 0.33\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 2.0}     6.66±0.40            14.45±1.96                  13.16±7.27                                 0.61\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 3.0}   28.53±0.72           48.59±6.78                  47.91±25.28                                0.49\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 3.0}     5.28±0.32            15.86±2.52                  14.90±6.42                                 0.67\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 4.0}   21.60±1.05           50.18±8.21                  61.54±54.55                                0.64\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 4.0}     10.99±28.29          37.87±88.08                 41.31±80.43                                0.77\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 5.0}   16.43±0.99           41.45±6.46                  53.13±40.58                                0.79\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 5.0}     9.03±5.45            38.40±21.53                 37.06±40.07                                0.84\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 6.0}   15.52±1.44           49.39±9.41                  46.07±25.81                                0.87\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 6.0}     9.69±3.47            44.72±15.34                 41.58±33.24                                0.85\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 7.0}   16.30±4.48           66.06±50.12                 59.26±51.79                                0.95\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 7.0}     10.28±3.47           47.59±15.18                 42.17±28.87                                0.91\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 8.0}   15.97±2.20           61.93±15.72                 63.62±36.47                                0.97\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 8.0}     11.21±5.52           53.31±22.97                 47.91±34.47                                0.94\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 9.0}   16.32±1.95           70.08±38.05                 65.42±46.41                                0.97\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 9.0}     11.09±4.69           57.26±33.86                 53.14±31.82                                0.94\n",
      "{'alpha': '3.16e-02', 'k_func': 'tanimoto', 'depth': 10.0}  16.50±2.97           70.07±36.03                 68.30±51.20                                0.95\n",
      "{'alpha': '3.16e-02', 'k_func': 'MinMax', 'depth': 10.0}    14.55±14.53          67.91±63.08                 67.23±89.71                                0.93\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 0.0}   42.46±0.82           42.50±0.88                  41.77±6.75                                 0.14\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 0.0}     11.30±0.35           12.79±0.51                  13.53±2.31                                 0.44\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 1.0}   38.22±0.84           39.95±0.99                  40.35±6.84                                 0.22\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 1.0}     10.56±0.24           13.54±0.46                  14.38±4.26                                 0.57\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 2.0}   36.98±0.56           40.21±0.87                  38.49±4.85                                 0.33\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 2.0}     7.18±0.30            11.29±0.79                  11.12±3.38                                 0.61\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 3.0}   28.72±0.58           36.20±1.15                  35.30±5.09                                 0.49\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 3.0}     5.62±0.23            10.98±0.86                  10.18±3.13                                 0.67\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 4.0}   21.36±0.62           32.49±1.79                  35.03±9.76                                 0.64\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 4.0}     5.53±0.27            12.57±0.71                  13.56±5.70                                 0.77\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 5.0}   16.65±0.55           28.64±1.34                  32.09±10.04                                0.79\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 5.0}     6.17±0.41            15.05±1.31                  13.77±3.73                                 0.84\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 6.0}   15.03±0.70           29.47±1.78                  28.27±6.04                                 0.87\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 6.0}     6.85±0.49            17.30±1.44                  16.95±7.00                                 0.85\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 7.0}   14.77±0.49           30.60±2.22                  29.84±10.02                                0.95\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 7.0}     7.07±0.44            18.22±1.19                  16.22±6.11                                 0.91\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 8.0}   14.42±0.65           30.36±2.18                  30.37±8.36                                 0.97\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 8.0}     7.20±0.59            18.99±1.79                  17.61±4.97                                 0.94\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 9.0}   14.67±0.55           32.35±2.62                  32.08±10.79                                0.97\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 9.0}     7.33±0.45            19.82±1.86                  19.37±8.38                                 0.94\n",
      "{'alpha': '1.00e-01', 'k_func': 'tanimoto', 'depth': 10.0}  14.47±0.72           31.34±1.95                  32.11±9.56                                 0.95\n",
      "{'alpha': '1.00e-01', 'k_func': 'MinMax', 'depth': 10.0}    7.30±0.48            19.30±1.39                  18.95±6.50                                 0.93\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 0.0}   42.45±0.82           42.49±0.88                  41.78±6.72                                 0.14\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 0.0}     11.70±0.33           12.86±0.40                  13.58±2.42                                 0.44\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 1.0}   38.24±0.84           39.51±0.94                  39.92±6.81                                 0.22\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 1.0}     11.11±0.19           13.06±0.26                  13.29±2.32                                 0.57\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 2.0}   37.06±0.55           39.37±0.81                  37.68±4.75                                 0.33\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 2.0}     8.96±0.24            11.80±0.43                  12.17±2.52                                 0.61\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 3.0}   29.94±0.54           34.44±0.66                  33.66±4.90                                 0.49\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 3.0}     7.83±0.20            11.70±0.43                  10.82±2.42                                 0.67\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 4.0}   23.13±0.44           29.60±0.78                  30.47±4.66                                 0.64\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 4.0}     7.82±0.18            12.67±0.36                  12.98±3.55                                 0.77\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 5.0}   19.22±0.34           27.10±0.54                  27.97±4.67                                 0.79\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 5.0}     8.19±0.30            13.91±0.58                  14.03±3.25                                 0.84\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 6.0}   17.51±0.47           26.57±0.74                  26.56±4.97                                 0.87\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 6.0}     8.61±0.27            15.00±0.54                  14.71±4.37                                 0.85\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 7.0}   17.07±0.33           26.51±0.85                  26.07±6.05                                 0.95\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 7.0}     8.86±0.27            15.56±0.53                  14.69±4.13                                 0.91\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 8.0}   16.67±0.42           26.50±0.76                  26.00±5.65                                 0.97\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 8.0}     8.99±0.36            15.97±0.65                  15.12±3.76                                 0.94\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 9.0}   16.82±0.35           27.16±0.88                  26.92±6.03                                 0.97\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 9.0}     9.14±0.23            16.40±0.64                  15.89±5.29                                 0.94\n",
      "{'alpha': '3.16e-01', 'k_func': 'tanimoto', 'depth': 10.0}  16.71±0.49           27.13±0.76                  27.27±5.64                                 0.95\n",
      "{'alpha': '3.16e-01', 'k_func': 'MinMax', 'depth': 10.0}    9.12±0.34            16.11±0.51                  16.15±4.21                                 0.93\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 0.0}   42.44±0.82           42.48±0.88                  41.83±6.65                                 0.14\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 0.0}     13.71±0.28           14.75±0.32                  15.43±2.86                                 0.44\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 1.0}   38.46±0.84           39.28±0.88                  39.71±6.75                                 0.22\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 1.0}     13.66±0.16           15.24±0.24                  15.14±2.85                                 0.57\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 2.0}   37.35±0.52           38.84±0.70                  37.17±4.44                                 0.33\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 2.0}     13.26±0.19           15.55±0.31                  16.25±3.06                                 0.61\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 3.0}   32.11±0.53           35.23±0.71                  34.46±5.11                                 0.49\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 3.0}     12.87±0.14           15.95±0.27                  14.76±2.87                                 0.67\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 4.0}   26.91±0.39           31.45±0.64                  32.35±4.69                                 0.64\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 4.0}     13.29±0.12           17.07±0.27                  17.38±4.12                                 0.77\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 5.0}   24.42±0.34           29.85±0.46                  30.15±5.44                                 0.79\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 5.0}     13.87±0.18           18.30±0.37                  18.86±4.11                                 0.84\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 6.0}   23.28±0.37           29.38±0.59                  30.18±5.14                                 0.87\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 6.0}     14.42±0.21           19.24±0.42                  19.61±4.54                                 0.85\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 7.0}   23.05±0.31           29.45±0.72                  29.14±6.38                                 0.95\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 7.0}     14.80±0.18           19.96±0.38                  19.16±4.17                                 0.91\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 8.0}   23.04±0.38           29.98±0.70                  29.43±5.73                                 0.97\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 8.0}     15.07±0.23           20.41±0.46                  19.57±4.41                                 0.94\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 9.0}   23.24±0.29           30.39±0.77                  30.47±6.05                                 0.97\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 9.0}     15.24±0.20           20.72±0.52                  20.30±5.66                                 0.94\n",
      "{'alpha': '1.00e+00', 'k_func': 'tanimoto', 'depth': 10.0}  23.23±0.32           30.54±0.65                  30.21±6.33                                 0.95\n",
      "{'alpha': '1.00e+00', 'k_func': 'MinMax', 'depth': 10.0}    15.23±0.24           20.52±0.45                  20.67±4.75                                 0.93\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 0.0}   42.60±0.81           42.64±0.88                  42.18±6.47                                 0.14\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 0.0}     37.85±44.54          38.93±44.66                 38.85±43.16                                0.44\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 1.0}   39.31±0.82           39.79±0.84                  40.13±6.62                                 0.22\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 1.0}     21.75±5.51           22.95±5.50                  22.78±6.65                                 0.57\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 2.0}   38.35±0.50           39.19±0.63                  37.31±4.17                                 0.33\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 2.0}     24.60±8.11           26.33±8.22                  27.13±6.92                                 0.61\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 3.0}   35.51±0.53           37.39±0.70                  36.70±5.22                                 0.49\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 3.0}     27.96±24.39          30.65±27.96                 29.21±27.41                                0.67\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 4.0}   32.98±0.42           35.71±0.51                  36.83±5.58                                 0.64\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 4.0}     30.48±13.85          32.56±13.04                 33.70±16.53                                0.77\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 5.0}   32.56±0.64           35.70±0.77                  35.70±6.33                                 0.79\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 5.0}     83.98±250.09         87.23±250.31                86.72±248.36                               0.84\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 6.0}   32.73±0.65           36.33±1.00                  37.48±5.64                                 0.87\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 6.0}     82.05±176.50         82.86±170.13                85.94±180.26                               0.85\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 7.0}   33.24±0.44           37.00±0.67                  36.07±7.28                                 0.95\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 7.0}     40.42±31.47          41.86±27.91                 41.90±31.18                                0.91\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 8.0}   33.92±0.49           38.09±0.77                  37.21±6.93                                 0.97\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 8.0}     63.89±104.69         70.21±118.69                69.28±116.00                               0.94\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 9.0}   35.28±5.95           39.30±4.96                  39.81±8.91                                 0.97\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 9.0}     36.22±13.77          38.88±12.70                 39.42±13.90                                0.94\n",
      "{'alpha': '3.16e+00', 'k_func': 'tanimoto', 'depth': 10.0}  34.35±0.38           38.65±0.65                  38.02±7.26                                 0.95\n",
      "{'alpha': '3.16e+00', 'k_func': 'MinMax', 'depth': 10.0}    39.95±38.52          42.05±37.24                 42.28±34.20                                0.93\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 0.0}   56.08±23.80          55.77±24.18                 55.24±24.25                                0.14\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 0.0}     31.04±0.28           31.38±0.32                  33.57±4.62                                 0.44\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 1.0}   49.03±13.71          49.14±14.07                 48.66±17.96                                0.22\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 1.0}     32.40±0.33           32.82±0.36                  32.10±6.84                                 0.57\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 2.0}   70.71±111.39         70.82±111.62                68.53±112.65                               0.33\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 2.0}     34.90±0.36           35.69±0.40                  37.00±7.07                                 0.61\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 3.0}   43.70±1.84           44.39±1.78                  44.09±5.84                                 0.49\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 3.0}     37.32±0.43           38.33±0.51                  36.46±5.31                                 0.67\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 4.0}   44.36±0.60           45.51±0.67                  46.63±7.44                                 0.64\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 4.0}     39.72±0.38           40.96±0.50                  42.33±7.53                                 0.77\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 5.0}   46.22±0.59           47.58±0.68                  47.70±7.56                                 0.79\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 5.0}     41.89±0.46           43.40±0.50                  44.61±7.17                                 0.84\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 6.0}   47.93±0.53           49.47±0.63                  50.84±6.95                                 0.87\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 6.0}     43.26±0.36           44.79±0.53                  46.39±6.37                                 0.85\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 7.0}   49.65±0.62           51.36±0.75                  49.67±8.85                                 0.95\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 7.0}     44.44±0.41           46.11±0.58                  45.22±5.55                                 0.91\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 8.0}   50.60±0.55           52.52±0.73                  51.19±8.93                                 0.97\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 8.0}     44.95±0.44           46.63±0.61                  44.93±7.02                                 0.94\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 9.0}   51.17±0.55           53.04±0.67                  53.64±8.31                                 0.97\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 9.0}     45.32±0.52           47.05±0.72                  46.73±8.79                                 0.94\n",
      "{'alpha': '1.00e+01', 'k_func': 'tanimoto', 'depth': 10.0}  51.28±0.56           53.19±0.84                  52.70±8.39                                 0.95\n",
      "{'alpha': '1.00e+01', 'k_func': 'MinMax', 'depth': 10.0}    45.36±0.45           47.07±0.57                  47.39±7.62                                 0.93\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 0.0}   55.14±0.60           54.97±0.69                  55.66±7.03                                 0.14\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 0.0}     50.24±0.36           50.11±0.44                  54.00±6.23                                 0.44\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 1.0}   55.00±0.64           54.87±0.70                  54.65±8.18                                 0.22\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 1.0}     52.96±0.49           52.83±0.48                  51.87±9.55                                 0.57\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 2.0}   57.29±0.37           57.21±0.51                  54.44±6.51                                 0.33\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 2.0}     57.09±0.46           57.22±0.51                  58.61±9.50                                 0.61\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 3.0}   61.77±0.46           61.95±0.49                  60.98±8.36                                 0.49\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 3.0}     61.82±0.38           62.15±0.49                  59.88±6.44                                 0.67\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 4.0}   66.49±0.70           66.88±0.78                  69.01±9.71                                 0.64\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 4.0}     65.72±0.52           66.16±0.64                  68.10±9.69                                 0.77\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 5.0}   70.55±0.56           71.05±0.67                  71.31±9.05                                 0.79\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 5.0}     68.82±0.56           69.44±0.58                  71.11±9.68                                 0.84\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 6.0}   73.44±0.55           74.00±0.68                  75.27±8.61                                 0.87\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 6.0}     70.72±0.45           71.28±0.61                  72.53±7.57                                 0.85\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 7.0}   75.51±0.70           76.13±0.76                  73.54±10.51                                0.95\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 7.0}     72.06±0.45           72.69±0.62                  71.99±6.65                                 0.91\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 8.0}   76.49±0.69           77.25±0.74                  75.39±10.44                                0.97\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 8.0}     72.68±0.56           73.30±0.66                  70.82±8.14                                 0.94\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 9.0}   76.83±0.70           77.54±0.78                  78.33±9.39                                 0.97\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 9.0}     72.90±0.68           73.54±0.87                  73.19±10.58                                0.94\n",
      "{'alpha': '3.16e+01', 'k_func': 'tanimoto', 'depth': 10.0}  76.98±0.70           77.71±0.95                  77.45±9.60                                 0.95\n",
      "{'alpha': '3.16e+01', 'k_func': 'MinMax', 'depth': 10.0}    72.94±0.59           73.59±0.71                  73.81±9.29                                 0.93\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 0.0}   81.88±0.59           81.57±0.67                  82.68±8.68                                 0.14\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 0.0}     80.64±0.52           80.34±0.59                  85.23±7.13                                 0.44\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 1.0}   83.04±0.63           82.74±0.70                  83.10±9.35                                 0.22\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 1.0}     84.72±0.73           84.42±0.70                  83.25±10.24                                0.57\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 2.0}   86.79±0.48           86.50±0.59                  83.87±7.79                                 0.33\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 2.0}     89.61±0.71           89.45±0.76                  90.61±10.58                                0.61\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 3.0}   93.11±0.70           93.01±0.71                  91.70±9.73                                 0.49\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 3.0}     95.08±0.48           95.06±0.55                  92.41±7.01                                 0.67\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 4.0}   98.34±0.92           98.33±0.94                  100.49±10.64                               0.64\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 4.0}     98.84±0.85           98.88±0.92                  101.01±10.61                               0.77\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 5.0}   102.32±0.79          102.38±0.85                 102.40±9.42                                0.79\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 5.0}     101.62±0.87          101.75±0.86                 103.52±11.39                               0.84\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 6.0}   104.73±0.77          104.79±0.84                 105.92±9.07                                0.87\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 6.0}     103.31±0.66          103.36±0.80                 104.09±7.97                                0.85\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 7.0}   106.38±0.92          106.44±0.94                 103.63±10.68                               0.95\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 7.0}     104.33±0.59          104.41±0.69                 103.83±7.28                                0.91\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 8.0}   107.03±0.88          107.18±0.88                 105.03±10.71                               0.97\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 8.0}     104.88±0.74          104.94±0.79                 102.03±8.37                                0.94\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 9.0}   107.08±0.88          107.23±0.92                 107.79±9.50                                0.97\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 9.0}     104.87±0.96          104.94±1.10                 104.46±11.16                               0.94\n",
      "{'alpha': '1.00e+02', 'k_func': 'tanimoto', 'depth': 10.0}  107.22±0.90          107.36±1.04                 107.01±9.80                                0.95\n",
      "{'alpha': '1.00e+02', 'k_func': 'MinMax', 'depth': 10.0}    104.89±0.83          104.98±0.88                 105.15±9.75                                0.93\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 0.0}   112.04±0.85          111.67±0.91                 112.79±9.36                                0.14\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 0.0}     111.74±0.71          111.43±0.75                 116.59±7.26                                0.44\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 1.0}   113.04±0.87          112.69±0.93                 113.42±9.67                                0.22\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 1.0}     114.97±0.93          114.60±0.89                 113.16±10.11                               0.57\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 2.0}   115.86±0.72          115.50±0.76                 113.04±8.07                                0.33\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 2.0}     118.04±0.99          117.75±1.03                 118.67±10.86                               0.61\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 3.0}   120.01±0.95          119.76±0.96                 118.38±9.88                                0.49\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 3.0}     121.56±0.67          121.34±0.73                 118.40±7.30                                0.67\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 4.0}   122.94±1.12          122.71±1.13                 124.56±10.71                               0.64\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 4.0}     123.40±1.10          123.20±1.13                 125.43±10.81                               0.77\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 5.0}   125.22±0.96          125.03±1.00                 124.83±9.38                                0.79\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 5.0}     124.88±1.19          124.74±1.18                 126.45±12.05                               0.84\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 6.0}   126.38±0.93          126.17±0.97                 127.19±8.98                                0.87\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 6.0}     125.85±0.82          125.62±0.94                 126.07±7.99                                0.85\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 7.0}   127.37±1.08          127.14±1.08                 124.32±10.43                               0.95\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 7.0}     126.38±0.74          126.18±0.80                 125.68±7.48                                0.91\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 8.0}   127.64±1.04          127.47±1.05                 125.24±10.56                               0.97\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 8.0}     126.78±0.86          126.56±0.88                 123.53±8.28                                0.94\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 9.0}   127.51±0.99          127.36±1.02                 127.73±9.29                                0.97\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 9.0}     126.62±1.14          126.39±1.26                 125.80±11.15                               0.94\n",
      "{'alpha': '3.16e+02', 'k_func': 'tanimoto', 'depth': 10.0}  127.62±1.02          127.46±1.10                 127.03±9.57                                0.95\n",
      "{'alpha': '3.16e+02', 'k_func': 'MinMax', 'depth': 10.0}    126.59±0.99          126.38±1.02                 126.60±9.74                                0.93\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 0.0}   130.05±1.03          129.66±1.08                 130.72±9.48                                0.14\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 0.0}     129.77±0.81          129.44±0.85                 134.66±7.24                                0.44\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 1.0}   130.52±1.02          130.14±1.08                 130.98±9.66                                0.22\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 1.0}     131.61±1.05          131.21±1.01                 129.58±9.99                                0.57\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 2.0}   131.96±0.85          131.57±0.86                 129.20±8.08                                0.33\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 2.0}     132.76±1.15          132.40±1.18                 133.20±10.92                               0.61\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 3.0}   133.67±1.06          133.34±1.07                 131.96±9.82                                0.49\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 3.0}     134.46±0.78          134.13±0.85                 131.05±7.43                                0.67\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 4.0}   134.67±1.21          134.34±1.22                 135.99±10.65                               0.64\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 4.0}     134.82±1.21          134.53±1.23                 136.79±10.84                               0.77\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 5.0}   135.68±1.04          135.38±1.06                 135.08±9.33                                0.79\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 5.0}     135.43±1.35          135.17±1.34                 136.83±12.26                               0.84\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 6.0}   136.04±0.99          135.71±1.02                 136.69±8.89                                0.87\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 6.0}     135.91±0.88          135.57±1.00                 135.90±7.97                                0.85\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 7.0}   136.65±1.14          136.30±1.13                 133.49±10.28                               0.95\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 7.0}     136.15±0.82          135.84±0.86                 135.38±7.53                                0.91\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 8.0}   136.71±1.11          136.41±1.12                 134.15±10.46                               0.97\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 8.0}     136.47±0.91          136.12±0.92                 133.07±8.21                                0.94\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 9.0}   136.50±1.03          136.22±1.05                 136.51±9.15                                0.97\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 9.0}     136.24±1.22          135.89±1.33                 135.24±11.09                               0.94\n",
      "{'alpha': '1.00e+03', 'k_func': 'tanimoto', 'depth': 10.0}  136.59±1.06          136.31±1.12                 135.85±9.43                                0.95\n",
      "{'alpha': '1.00e+03', 'k_func': 'MinMax', 'depth': 10.0}    136.17±1.06          135.85±1.09                 136.09±9.71                                0.93\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 0.0}   137.41±1.10          137.01±1.14                 138.05±9.49                                0.14\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 0.0}     137.04±0.85          136.71±0.89                 141.94±7.22                                0.44\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 1.0}   137.59±1.08          137.20±1.15                 138.06±9.64                                0.22\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 1.0}     138.17±1.10          137.74±1.06                 136.04±9.95                                0.57\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 2.0}   138.32±0.89          137.91±0.90                 135.58±8.07                                0.33\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 2.0}     138.40±1.22          138.00±1.25                 138.75±10.93                               0.61\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 3.0}   138.85±1.10          138.49±1.11                 137.12±9.77                                0.49\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 3.0}     139.26±0.83          138.89±0.89                 135.76±7.47                                0.67\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 4.0}   138.99±1.24          138.62±1.25                 140.20±10.61                               0.64\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 4.0}     138.99±1.25          138.66±1.27                 140.94±10.85                               0.77\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 5.0}   139.47±1.06          139.13±1.09                 138.80±9.31                                0.79\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 5.0}     139.23±1.41          138.93±1.40                 140.57±12.33                               0.84\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 6.0}   139.51±1.01          139.14±1.04                 140.10±8.85                                0.87\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 6.0}     139.52±0.91          139.13±1.02                 139.43±7.97                                0.85\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 7.0}   139.96±1.15          139.57±1.15                 136.76±10.22                               0.95\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 7.0}     139.65±0.85          139.29±0.89                 138.84±7.55                                0.91\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 8.0}   139.94±1.13          139.60±1.15                 137.33±10.42                               0.97\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 8.0}     139.93±0.92          139.54±0.93                 136.48±8.18                                0.94\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 9.0}   139.71±1.04          139.38±1.06                 139.64±9.10                                0.97\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 9.0}     139.68±1.25          139.28±1.35                 138.61±11.07                               0.94\n",
      "{'alpha': '3.16e+03', 'k_func': 'tanimoto', 'depth': 10.0}  139.78±1.07          139.46±1.13                 138.99±9.37                                0.95\n",
      "{'alpha': '3.16e+03', 'k_func': 'MinMax', 'depth': 10.0}    139.60±1.09          139.22±1.11                 139.49±9.69                                0.93\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 0.0}   139.96±1.12          139.55±1.17                 140.59±9.49                                0.14\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 0.0}     139.55±0.87          139.21±0.90                 144.45±7.22                                0.44\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 1.0}   140.03±1.10          139.63±1.17                 140.50±9.63                                0.22\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 1.0}     140.40±1.12          139.97±1.08                 138.24±9.94                                0.57\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 2.0}   140.50±0.91          140.08±0.91                 137.76±8.06                                0.33\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 2.0}     140.30±1.24          139.89±1.27                 140.63±10.94                               0.61\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 3.0}   140.59±1.11          140.23±1.12                 138.85±9.76                                0.49\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 3.0}     140.86±0.84          140.49±0.91                 137.34±7.48                                0.67\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 4.0}   140.43±1.25          140.05±1.26                 141.60±10.60                               0.64\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 4.0}     140.38±1.27          140.03±1.28                 142.31±10.85                               0.77\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 5.0}   140.73±1.07          140.37±1.10                 140.03±9.30                                0.79\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 5.0}     140.49±1.43          140.17±1.42                 141.80±12.35                               0.84\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 6.0}   140.65±1.01          140.27±1.04                 141.22±8.84                                0.87\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 6.0}     140.71±0.91          140.30±1.02                 140.59±7.96                                0.85\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 7.0}   141.05±1.16          140.65±1.16                 137.84±10.20                               0.95\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 7.0}     140.80±0.86          140.43±0.90                 139.99±7.55                                0.91\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 8.0}   141.01±1.14          140.65±1.15                 138.38±10.40                               0.97\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 8.0}     141.07±0.93          140.67±0.93                 137.60±8.18                                0.94\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 9.0}   140.76±1.05          140.42±1.07                 140.67±9.08                                0.97\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 9.0}     140.81±1.26          140.40±1.36                 139.72±11.06                               0.94\n",
      "{'alpha': '1.00e+04', 'k_func': 'tanimoto', 'depth': 10.0}  140.83±1.07          140.49±1.13                 140.03±9.35                                0.95\n",
      "{'alpha': '1.00e+04', 'k_func': 'MinMax', 'depth': 10.0}    140.72±1.10          140.34±1.12                 140.60±9.68                                0.93\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 0.0}   140.79±1.13          140.38±1.17                 141.41±9.49                                0.14\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 0.0}     140.36±0.87          140.02±0.91                 145.26±7.21                                0.44\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 1.0}   140.82±1.11          140.42±1.17                 141.30±9.62                                0.22\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 1.0}     141.12±1.13          140.69±1.08                 138.96±9.93                                0.57\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 2.0}   141.20±0.91          140.78±0.91                 138.47±8.06                                0.33\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 2.0}     140.91±1.25          140.50±1.28                 141.24±10.94                               0.61\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 3.0}   141.16±1.11          140.79±1.12                 139.41±9.75                                0.49\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 3.0}     141.38±0.85          141.00±0.91                 137.84±7.49                                0.67\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 4.0}   140.90±1.25          140.51±1.26                 142.05±10.60                               0.64\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 4.0}     140.82±1.27          140.47±1.29                 142.75±10.85                               0.77\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 5.0}   141.13±1.08          140.77±1.10                 140.42±9.30                                0.79\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 5.0}     140.89±1.44          140.57±1.43                 142.20±12.36                               0.84\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 6.0}   141.02±1.02          140.63±1.04                 141.58±8.83                                0.87\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 6.0}     141.09±0.92          140.68±1.03                 140.97±7.96                                0.85\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 7.0}   141.40±1.16          140.99±1.16                 138.18±10.20                               0.95\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 7.0}     141.17±0.86          140.79±0.90                 140.35±7.56                                0.91\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 8.0}   141.35±1.14          140.98±1.16                 138.72±10.40                               0.97\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 8.0}     141.44±0.93          141.03±0.94                 137.96±8.17                                0.94\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 9.0}   141.10±1.05          140.75±1.07                 141.00±9.08                                0.97\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 9.0}     141.17±1.27          140.76±1.36                 140.08±11.06                               0.94\n",
      "{'alpha': '3.16e+04', 'k_func': 'tanimoto', 'depth': 10.0}  141.17±1.07          140.83±1.13                 140.36±9.35                                0.95\n",
      "{'alpha': '3.16e+04', 'k_func': 'MinMax', 'depth': 10.0}    141.09±1.10          140.69±1.12                 140.96±9.68                                0.93\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 0.0}   141.05±1.13          140.64±1.18                 141.67±9.49                                0.14\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 0.0}     140.62±0.88          140.28±0.91                 145.52±7.21                                0.44\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 1.0}   141.07±1.11          140.67±1.18                 141.55±9.62                                0.22\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 1.0}     141.35±1.13          140.92±1.09                 139.19±9.93                                0.57\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 2.0}   141.43±0.92          141.01±0.91                 138.70±8.06                                0.33\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 2.0}     141.11±1.25          140.70±1.28                 141.43±10.94                               0.61\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 3.0}   141.34±1.11          140.96±1.12                 139.59±9.75                                0.49\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 3.0}     141.54±0.85          141.16±0.92                 138.00±7.49                                0.67\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 4.0}   141.04±1.25          140.65±1.26                 142.19±10.59                               0.64\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 4.0}     140.96±1.27          140.61±1.29                 142.89±10.85                               0.77\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 5.0}   141.26±1.08          140.90±1.10                 140.55±9.30                                0.79\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 5.0}     141.02±1.44          140.70±1.43                 142.33±12.36                               0.84\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 6.0}   141.13±1.02          140.74±1.05                 141.70±8.83                                0.87\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 6.0}     141.21±0.92          140.80±1.03                 141.08±7.96                                0.85\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 7.0}   141.52±1.16          141.10±1.16                 138.29±10.20                               0.95\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 7.0}     141.28±0.86          140.91±0.90                 140.47±7.56                                0.91\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 8.0}   141.46±1.14          141.09±1.16                 138.82±10.40                               0.97\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 8.0}     141.55±0.93          141.14±0.94                 138.08±8.17                                0.94\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 9.0}   141.21±1.05          140.86±1.07                 141.11±9.08                                0.97\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 9.0}     141.29±1.27          140.87±1.36                 140.19±11.06                               0.94\n",
      "{'alpha': '1.00e+05', 'k_func': 'tanimoto', 'depth': 10.0}  141.28±1.07          140.93±1.13                 140.46±9.34                                0.95\n",
      "{'alpha': '1.00e+05', 'k_func': 'MinMax', 'depth': 10.0}    141.20±1.10          140.81±1.12                 141.08±9.68                                0.93\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 0.0}   141.14±1.13          140.73±1.18                 141.76±9.49                                0.14\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 0.0}     140.70±0.88          140.37±0.91                 145.61±7.21                                0.44\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 1.0}   141.15±1.11          140.75±1.18                 141.63±9.62                                0.22\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 1.0}     141.43±1.13          141.00±1.09                 139.26±9.93                                0.57\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 2.0}   141.50±0.92          141.08±0.91                 138.77±8.06                                0.33\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 2.0}     141.17±1.25          140.76±1.28                 141.49±10.94                               0.61\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 3.0}   141.39±1.11          141.02±1.12                 139.65±9.75                                0.49\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 3.0}     141.59±0.85          141.21±0.92                 138.05±7.49                                0.67\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 4.0}   141.09±1.25          140.70±1.26                 142.24±10.59                               0.64\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 4.0}     141.01±1.27          140.65±1.29                 142.94±10.85                               0.77\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 5.0}   141.30±1.08          140.94±1.10                 140.59±9.30                                0.79\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 5.0}     141.06±1.44          140.74±1.43                 142.37±12.36                               0.84\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 6.0}   141.17±1.02          140.78±1.05                 141.73±8.83                                0.87\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 6.0}     141.25±0.92          140.84±1.03                 141.12±7.96                                0.85\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 7.0}   141.55±1.16          141.14±1.16                 138.33±10.19                               0.95\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 7.0}     141.32±0.86          140.94±0.90                 140.51±7.56                                0.91\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 8.0}   141.49±1.14          141.12±1.16                 138.86±10.40                               0.97\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 8.0}     141.59±0.93          141.18±0.94                 138.11±8.17                                0.94\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 9.0}   141.24±1.05          140.89±1.07                 141.14±9.08                                0.97\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 9.0}     141.33±1.27          140.91±1.36                 140.23±11.06                               0.94\n",
      "{'alpha': '3.16e+05', 'k_func': 'tanimoto', 'depth': 10.0}  141.31±1.07          140.97±1.13                 140.50±9.34                                0.95\n",
      "{'alpha': '3.16e+05', 'k_func': 'MinMax', 'depth': 10.0}    141.24±1.10          140.84±1.12                 141.11±9.68                                0.93\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 0.0}   141.16±1.13          140.75±1.18                 141.78±9.49                                0.14\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 0.0}     140.73±0.88          140.39±0.91                 145.63±7.21                                0.44\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 1.0}   141.18±1.11          140.78±1.18                 141.66±9.62                                0.22\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 1.0}     141.45±1.13          141.02±1.09                 139.28±9.93                                0.57\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 2.0}   141.52±0.92          141.10±0.91                 138.79±8.06                                0.33\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 2.0}     141.19±1.25          140.78±1.28                 141.51±10.94                               0.61\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 3.0}   141.41±1.11          141.04±1.12                 139.67±9.75                                0.49\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 3.0}     141.61±0.85          141.23±0.92                 138.07±7.49                                0.67\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 4.0}   141.11±1.25          140.72±1.27                 142.25±10.59                               0.64\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 4.0}     141.02±1.27          140.67±1.29                 142.95±10.85                               0.77\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 5.0}   141.31±1.08          140.95±1.10                 140.60±9.30                                0.79\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 5.0}     141.08±1.44          140.75±1.43                 142.38±12.36                               0.84\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 6.0}   141.18±1.02          140.79±1.05                 141.74±8.83                                0.87\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 6.0}     141.26±0.92          140.85±1.03                 141.13±7.96                                0.85\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 7.0}   141.56±1.16          141.15±1.16                 138.34±10.19                               0.95\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 7.0}     141.33±0.86          140.95±0.90                 140.52±7.56                                0.91\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 8.0}   141.50±1.14          141.13±1.16                 138.87±10.40                               0.97\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 8.0}     141.60±0.93          141.19±0.94                 138.12±8.17                                0.94\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 9.0}   141.25±1.05          140.90±1.07                 141.15±9.08                                0.97\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 9.0}     141.34±1.27          140.92±1.36                 140.24±11.06                               0.94\n",
      "{'alpha': '1.00e+06', 'k_func': 'tanimoto', 'depth': 10.0}  141.32±1.07          140.98±1.13                 140.51±9.34                                0.95\n",
      "{'alpha': '1.00e+06', 'k_func': 'MinMax', 'depth': 10.0}    141.25±1.10          140.85±1.12                 141.12±9.68                                0.93\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 0.0}   141.17±1.13          140.76±1.18                 141.79±9.49                                0.14\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 0.0}     140.74±0.88          140.40±0.91                 145.64±7.21                                0.44\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 1.0}   141.19±1.11          140.79±1.18                 141.66±9.62                                0.22\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 1.0}     141.46±1.13          141.03±1.09                 139.29±9.93                                0.57\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 2.0}   141.53±0.92          141.11±0.91                 138.80±8.06                                0.33\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 2.0}     141.19±1.25          140.78±1.28                 141.52±10.94                               0.61\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 3.0}   141.42±1.11          141.04±1.12                 139.67±9.75                                0.49\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 3.0}     141.62±0.85          141.23±0.92                 138.08±7.49                                0.67\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 4.0}   141.11±1.25          140.72±1.27                 142.26±10.59                               0.64\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 4.0}     141.03±1.27          140.67±1.29                 142.96±10.85                               0.77\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 5.0}   141.31±1.08          140.95±1.10                 140.60±9.30                                0.79\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 5.0}     141.08±1.44          140.75±1.43                 142.38±12.36                               0.84\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 6.0}   141.19±1.02          140.80±1.05                 141.75±8.83                                0.87\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 6.0}     141.26±0.92          140.85±1.03                 141.14±7.96                                0.85\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 7.0}   141.57±1.16          141.15±1.16                 138.34±10.19                               0.95\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 7.0}     141.34±0.86          140.96±0.90                 140.52±7.56                                0.91\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 8.0}   141.50±1.14          141.14±1.16                 138.87±10.40                               0.97\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 8.0}     141.61±0.93          141.19±0.94                 138.13±8.17                                0.94\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 9.0}   141.25±1.05          140.91±1.07                 141.15±9.08                                0.97\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 9.0}     141.34±1.27          140.92±1.36                 140.24±11.06                               0.94\n",
      "{'alpha': '3.16e+06', 'k_func': 'tanimoto', 'depth': 10.0}  141.33±1.07          140.98±1.13                 140.51±9.34                                0.95\n",
      "{'alpha': '3.16e+06', 'k_func': 'MinMax', 'depth': 10.0}    141.25±1.10          140.86±1.12                 141.13±9.68                                0.93\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 0.0}   141.18±1.13          140.76±1.18                 141.80±9.49                                0.14\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 0.0}     140.74±0.88          140.40±0.91                 145.64±7.21                                0.44\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 1.0}   141.19±1.11          140.79±1.18                 141.67±9.62                                0.22\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 1.0}     141.46±1.13          141.03±1.09                 139.29±9.93                                0.57\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 2.0}   141.53±0.92          141.11±0.91                 138.80±8.06                                0.33\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 2.0}     141.20±1.25          140.78±1.28                 141.52±10.94                               0.61\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 3.0}   141.42±1.11          141.05±1.12                 139.67±9.75                                0.49\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 3.0}     141.62±0.85          141.24±0.92                 138.08±7.49                                0.67\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 4.0}   141.11±1.25          140.72±1.27                 142.26±10.59                               0.64\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 4.0}     141.03±1.27          140.67±1.29                 142.96±10.85                               0.77\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 5.0}   141.32±1.08          140.95±1.10                 140.60±9.30                                0.79\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 5.0}     141.08±1.44          140.75±1.43                 142.38±12.36                               0.84\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 6.0}   141.19±1.02          140.80±1.05                 141.75±8.83                                0.87\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 6.0}     141.26±0.92          140.86±1.03                 141.14±7.96                                0.85\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 7.0}   141.57±1.16          141.15±1.16                 138.34±10.19                               0.95\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 7.0}     141.34±0.86          140.96±0.90                 140.52±7.56                                0.91\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 8.0}   141.51±1.14          141.14±1.16                 138.87±10.40                               0.97\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 8.0}     141.61±0.93          141.19±0.94                 138.13±8.17                                0.94\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 9.0}   141.25±1.05          140.91±1.07                 141.16±9.08                                0.97\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 9.0}     141.34±1.27          140.92±1.36                 140.24±11.06                               0.94\n",
      "{'alpha': '1.00e+07', 'k_func': 'tanimoto', 'depth': 10.0}  141.33±1.07          140.98±1.13                 140.51±9.34                                0.95\n",
      "{'alpha': '1.00e+07', 'k_func': 'MinMax', 'depth': 10.0}    141.25±1.10          140.86±1.12                 141.13±9.68                                0.93\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 0.0}   141.18±1.13          140.76±1.18                 141.80±9.49                                0.14\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 0.0}     140.74±0.88          140.40±0.91                 145.64±7.21                                0.44\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 1.0}   141.19±1.11          140.79±1.18                 141.67±9.62                                0.22\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 1.0}     141.46±1.13          141.03±1.09                 139.29±9.93                                0.57\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 2.0}   141.53±0.92          141.11±0.91                 138.80±8.06                                0.33\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 2.0}     141.20±1.25          140.79±1.28                 141.52±10.94                               0.61\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 3.0}   141.42±1.11          141.05±1.12                 139.68±9.75                                0.49\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 3.0}     141.62±0.85          141.24±0.92                 138.08±7.49                                0.67\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 4.0}   141.11±1.25          140.72±1.27                 142.26±10.59                               0.64\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 4.0}     141.03±1.27          140.67±1.29                 142.96±10.85                               0.77\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 5.0}   141.32±1.08          140.96±1.10                 140.60±9.30                                0.79\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 5.0}     141.08±1.44          140.75±1.43                 142.38±12.36                               0.84\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 6.0}   141.19±1.02          140.80±1.05                 141.75±8.83                                0.87\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 6.0}     141.26±0.92          140.86±1.03                 141.14±7.96                                0.85\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 7.0}   141.57±1.16          141.15±1.16                 138.34±10.19                               0.95\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 7.0}     141.34±0.86          140.96±0.90                 140.52±7.56                                0.91\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 8.0}   141.51±1.14          141.14±1.16                 138.87±10.40                               0.97\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 8.0}     141.61±0.93          141.19±0.94                 138.13±8.17                                0.94\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 9.0}   141.26±1.05          140.91±1.07                 141.16±9.08                                0.97\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 9.0}     141.34±1.27          140.92±1.36                 140.24±11.06                               0.94\n",
      "{'alpha': '3.16e+07', 'k_func': 'tanimoto', 'depth': 10.0}  141.33±1.07          140.98±1.13                 140.51±9.34                                0.95\n",
      "{'alpha': '3.16e+07', 'k_func': 'MinMax', 'depth': 10.0}    141.25±1.10          140.86±1.12                 141.13±9.68                                0.93\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 0.0}   141.18±1.13          140.76±1.18                 141.80±9.49                                0.14\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 0.0}     140.74±0.88          140.40±0.91                 145.64±7.21                                0.44\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 1.0}   141.19±1.11          140.79±1.18                 141.67±9.62                                0.22\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 1.0}     141.46±1.13          141.03±1.09                 139.29±9.93                                0.57\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 2.0}   141.53±0.92          141.11±0.91                 138.80±8.06                                0.33\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 2.0}     141.20±1.25          140.79±1.28                 141.52±10.94                               0.61\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 3.0}   141.42±1.11          141.05±1.12                 139.68±9.75                                0.49\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 3.0}     141.62±0.85          141.24±0.92                 138.08±7.49                                0.67\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 4.0}   141.11±1.25          140.72±1.27                 142.26±10.59                               0.64\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 4.0}     141.03±1.27          140.67±1.29                 142.96±10.85                               0.77\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 5.0}   141.32±1.08          140.96±1.10                 140.60±9.30                                0.79\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 5.0}     141.08±1.44          140.75±1.43                 142.38±12.36                               0.84\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 6.0}   141.19±1.02          140.80±1.05                 141.75±8.83                                0.87\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 6.0}     141.26±0.92          140.86±1.03                 141.14±7.96                                0.85\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 7.0}   141.57±1.16          141.15±1.16                 138.34±10.19                               0.95\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 7.0}     141.34±0.86          140.96±0.90                 140.52±7.56                                0.91\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 8.0}   141.51±1.14          141.14±1.16                 138.87±10.40                               0.97\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 8.0}     141.61±0.93          141.19±0.94                 138.13±8.17                                0.94\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 9.0}   141.26±1.05          140.91±1.07                 141.16±9.08                                0.97\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 9.0}     141.34±1.27          140.92±1.36                 140.24±11.06                               0.94\n",
      "{'alpha': '1.00e+08', 'k_func': 'tanimoto', 'depth': 10.0}  141.33±1.07          140.98±1.13                 140.51±9.34                                0.95\n",
      "{'alpha': '1.00e+08', 'k_func': 'MinMax', 'depth': 10.0}    141.25±1.10          140.86±1.12                 141.13±9.68                                0.93\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 0.0}   141.18±1.13          140.76±1.18                 141.80±9.49                                0.14\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 0.0}     140.74±0.88          140.40±0.91                 145.64±7.21                                0.44\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 1.0}   141.19±1.11          140.79±1.18                 141.67±9.62                                0.22\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 1.0}     141.46±1.13          141.03±1.09                 139.29±9.93                                0.57\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 2.0}   141.53±0.92          141.11±0.91                 138.80±8.06                                0.33\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 2.0}     141.20±1.25          140.79±1.28                 141.52±10.94                               0.61\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 3.0}   141.42±1.11          141.05±1.12                 139.68±9.75                                0.49\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 3.0}     141.62±0.85          141.24±0.92                 138.08±7.49                                0.67\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 4.0}   141.11±1.25          140.72±1.27                 142.26±10.59                               0.64\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 4.0}     141.03±1.27          140.67±1.29                 142.96±10.85                               0.77\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 5.0}   141.32±1.08          140.96±1.10                 140.61±9.30                                0.79\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 5.0}     141.08±1.44          140.75±1.43                 142.38±12.36                               0.84\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 6.0}   141.19±1.02          140.80±1.05                 141.75±8.83                                0.87\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 6.0}     141.26±0.92          140.86±1.03                 141.14±7.96                                0.85\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 7.0}   141.57±1.16          141.15±1.16                 138.34±10.19                               0.95\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 7.0}     141.34±0.86          140.96±0.90                 140.52±7.56                                0.91\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 8.0}   141.51±1.14          141.14±1.16                 138.87±10.40                               0.97\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 8.0}     141.61±0.93          141.19±0.94                 138.13±8.17                                0.94\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 9.0}   141.26±1.05          140.91±1.07                 141.16±9.08                                0.97\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 9.0}     141.34±1.27          140.92±1.36                 140.24±11.06                               0.94\n",
      "{'alpha': '3.16e+08', 'k_func': 'tanimoto', 'depth': 10.0}  141.33±1.07          140.98±1.13                 140.51±9.34                                0.95\n",
      "{'alpha': '3.16e+08', 'k_func': 'MinMax', 'depth': 10.0}    141.25±1.10          140.86±1.12                 141.13±9.68                                0.93\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 0.0}   141.18±1.13          140.77±1.18                 141.80±9.49                                0.14\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 0.0}     140.74±0.88          140.40±0.91                 145.64±7.21                                0.44\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 1.0}   141.19±1.11          140.79±1.18                 141.67±9.62                                0.22\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 1.0}     141.46±1.13          141.03±1.09                 139.29±9.93                                0.57\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 2.0}   141.53±0.92          141.11±0.91                 138.80±8.06                                0.33\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 2.0}     141.20±1.25          140.79±1.28                 141.52±10.94                               0.61\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 3.0}   141.42±1.11          141.05±1.12                 139.68±9.75                                0.49\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 3.0}     141.62±0.85          141.24±0.92                 138.08±7.49                                0.67\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 4.0}   141.11±1.25          140.72±1.27                 142.26±10.59                               0.64\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 4.0}     141.03±1.27          140.67±1.29                 142.96±10.85                               0.77\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 5.0}   141.32±1.08          140.96±1.10                 140.61±9.30                                0.79\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 5.0}     141.08±1.44          140.75±1.43                 142.39±12.36                               0.84\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 6.0}   141.19±1.02          140.80±1.05                 141.75±8.83                                0.87\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 6.0}     141.26±0.92          140.86±1.03                 141.14±7.96                                0.85\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 7.0}   141.57±1.16          141.15±1.16                 138.34±10.19                               0.95\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 7.0}     141.34±0.86          140.96±0.90                 140.52±7.56                                0.91\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 8.0}   141.51±1.14          141.14±1.16                 138.87±10.40                               0.97\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 8.0}     141.61±0.93          141.19±0.94                 138.13±8.17                                0.94\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 9.0}   141.26±1.05          140.91±1.07                 141.16±9.08                                0.97\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 9.0}     141.34±1.27          140.92±1.36                 140.24±11.06                               0.94\n",
      "{'alpha': '1.00e+09', 'k_func': 'tanimoto', 'depth': 10.0}  141.33±1.07          140.98±1.13                 140.51±9.34                                0.95\n",
      "{'alpha': '1.00e+09', 'k_func': 'MinMax', 'depth': 10.0}    141.25±1.10          140.86±1.12                 141.13±9.68                                0.93\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 0.0}   141.18±1.13          140.77±1.18                 141.80±9.49                                0.14\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 0.0}     140.74±0.88          140.40±0.91                 145.64±7.21                                0.44\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 1.0}   141.19±1.11          140.79±1.18                 141.67±9.62                                0.22\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 1.0}     141.46±1.13          141.03±1.09                 139.29±9.93                                0.57\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 2.0}   141.53±0.92          141.11±0.91                 138.80±8.06                                0.33\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 2.0}     141.20±1.25          140.79±1.28                 141.52±10.94                               0.61\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 3.0}   141.42±1.11          141.05±1.12                 139.68±9.75                                0.49\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 3.0}     141.62±0.85          141.24±0.92                 138.08±7.49                                0.67\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 4.0}   141.11±1.25          140.72±1.27                 142.26±10.59                               0.64\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 4.0}     141.03±1.27          140.67±1.29                 142.96±10.85                               0.77\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 5.0}   141.32±1.08          140.96±1.10                 140.61±9.30                                0.79\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 5.0}     141.08±1.44          140.75±1.43                 142.39±12.36                               0.84\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 6.0}   141.19±1.02          140.80±1.05                 141.75±8.83                                0.87\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 6.0}     141.26±0.92          140.86±1.03                 141.14±7.96                                0.85\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 7.0}   141.57±1.16          141.15±1.16                 138.34±10.19                               0.95\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 7.0}     141.34±0.86          140.96±0.90                 140.52±7.56                                0.91\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 8.0}   141.51±1.14          141.14±1.16                 138.87±10.40                               0.97\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 8.0}     141.61±0.93          141.19±0.94                 138.13±8.17                                0.94\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 9.0}   141.26±1.05          140.91±1.07                 141.16±9.08                                0.97\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 9.0}     141.34±1.27          140.92±1.36                 140.24±11.06                               0.94\n",
      "{'alpha': '3.16e+09', 'k_func': 'tanimoto', 'depth': 10.0}  141.33±1.07          140.98±1.13                 140.51±9.34                                0.95\n",
      "{'alpha': '3.16e+09', 'k_func': 'MinMax', 'depth': 10.0}    141.25±1.10          140.86±1.12                 141.13±9.68                                0.93\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 0.0}   141.18±1.13          140.77±1.18                 141.80±9.49                                0.14\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 0.0}     140.74±0.88          140.40±0.91                 145.64±7.21                                0.44\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 1.0}   141.19±1.11          140.79±1.18                 141.67±9.62                                0.22\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 1.0}     141.46±1.13          141.03±1.09                 139.29±9.93                                0.57\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 2.0}   141.53±0.92          141.11±0.91                 138.80±8.06                                0.33\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 2.0}     141.20±1.25          140.79±1.28                 141.52±10.94                               0.61\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 3.0}   141.42±1.11          141.05±1.12                 139.68±9.75                                0.49\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 3.0}     141.62±0.85          141.24±0.92                 138.08±7.49                                0.67\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 4.0}   141.11±1.25          140.72±1.27                 142.26±10.59                               0.64\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 4.0}     141.03±1.27          140.67±1.29                 142.96±10.85                               0.77\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 5.0}   141.32±1.08          140.96±1.10                 140.61±9.30                                0.79\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 5.0}     141.08±1.44          140.75±1.43                 142.39±12.36                               0.84\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 6.0}   141.19±1.02          140.80±1.05                 141.75±8.83                                0.87\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 6.0}     141.26±0.92          140.86±1.03                 141.14±7.96                                0.85\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 7.0}   141.57±1.16          141.15±1.16                 138.34±10.19                               0.95\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 7.0}     141.34±0.86          140.96±0.90                 140.52±7.56                                0.91\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 8.0}   141.51±1.14          141.14±1.16                 138.87±10.40                               0.97\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 8.0}     141.61±0.93          141.19±0.94                 138.13±8.17                                0.94\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 9.0}   141.26±1.05          140.91±1.07                 141.16±9.08                                0.97\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 9.0}     141.34±1.27          140.92±1.36                 140.24±11.06                               0.94\n",
      "{'alpha': '1.00e+10', 'k_func': 'tanimoto', 'depth': 10.0}  141.33±1.07          140.98±1.13                 140.51±9.34                                0.95\n",
      "{'alpha': '1.00e+10', 'k_func': 'MinMax', 'depth': 10.0}    141.25±1.10          140.86±1.12                 141.13±9.68                                0.93\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "calculate performance: 100%|██████████| 27060/27060 [19:53<00:00, 22.66it/s]\n",
      "\n",
      "\n",
      "Mutagenicity\n",
      "\n",
      "--- This is a classification problem ---\n",
      "\n",
      "1. Loading dataset from file...\n",
      "\n",
      "2. Calculating gram matrices. This could take a while...\n",
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 0.0} is: \n",
      "getting paths: 100%|██████████| 4337/4337 [00:00<00:00, 15903.66it/s]\n",
      "calculating kernels: 100%|█████████▉| 9401970/9406953.0 [02:18<00:00, 74573.38it/s]\n",
      " --- kernel matrix of path kernel up to 0 of size 4337 built in 138.86686968803406 seconds ---\n",
      "calculating kernels: 100%|██████████| 9406953/9406953.0 [02:18<00:00, 67873.28it/s]\n",
      "[[ 1.    0.6   1.   ...,  0.75  0.75  0.6 ]\n",
      " [ 0.6   1.    0.6  ...,  0.75  0.75  1.  ]\n",
      " [ 1.    0.6   1.   ...,  0.75  0.75  0.6 ]\n",
      " ..., \n",
      " [ 0.75  0.75  0.75 ...,  1.    1.    0.75]\n",
      " [ 0.75  0.75  0.75 ...,  1.    1.    0.75]\n",
      " [ 0.6   1.    0.6  ...,  0.75  0.75  1.  ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97a7f8860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 0.0} is: \n",
      "getting paths: 100%|██████████| 4337/4337 [00:00<00:00, 11690.48it/s]\n",
      "calculating kernels: 100%|█████████▉| 9406067/9406953.0 [04:53<00:00, 32433.61it/s]\n",
      " --- kernel matrix of path kernel up to 0 of size 4337 built in 294.33339285850525 seconds ---\n",
      "calculating kernels: 100%|██████████| 9406953/9406953.0 [04:53<00:00, 32000.36it/s]\n",
      "[[ 1.          0.17333333  0.57894737 ...,  0.4375      0.35        0.4516129 ]\n",
      " [ 0.17333333  1.          0.17808219 ...,  0.30769231  0.42857143\n",
      "   0.29487179]\n",
      " [ 0.57894737  0.17808219  1.         ...,  0.41935484  0.33333333\n",
      "   0.43333333]\n",
      " ..., \n",
      " [ 0.4375      0.30769231  0.41935484 ...,  1.          0.74358974\n",
      "   0.63888889]\n",
      " [ 0.35        0.42857143  0.33333333 ...,  0.74358974  1.          0.5952381 ]\n",
      " [ 0.4516129   0.29487179  0.43333333 ...,  0.63888889  0.5952381   1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978d5afd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 1.0} is: \n",
      "getting paths: 100%|██████████| 4337/4337 [00:01<00:00, 3708.54it/s]\n",
      "calculating kernels: 100%|█████████▉| 9405707/9406953.0 [07:31<00:00, 22078.18it/s]\n",
      " --- kernel matrix of path kernel up to 1 of size 4337 built in 452.8485608100891 seconds ---\n",
      "calculating kernels: 100%|██████████| 9406953/9406953.0 [07:31<00:00, 20826.41it/s]\n",
      "[[ 1.          0.42857143  0.9        ...,  0.63636364  0.58333333\n",
      "   0.36842105]\n",
      " [ 0.42857143  1.          0.4        ...,  0.66666667  0.61538462\n",
      "   0.55555556]\n",
      " [ 0.9         0.4         1.         ...,  0.58333333  0.66666667  0.35      ]\n",
      " ..., \n",
      " [ 0.63636364  0.66666667  0.58333333 ...,  1.          0.9         0.44444444]\n",
      " [ 0.58333333  0.61538462  0.66666667 ...,  0.9         1.          0.42105263]\n",
      " [ 0.36842105  0.55555556  0.35       ...,  0.44444444  0.42105263  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97846d278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 1.0} is: \n",
      "getting paths: 100%|██████████| 4337/4337 [00:01<00:00, 3682.31it/s]\n",
      "calculating kernels: 100%|█████████▉| 9405464/9406953.0 [07:44<00:00, 20821.78it/s]\n",
      " --- kernel matrix of path kernel up to 1 of size 4337 built in 465.70522594451904 seconds ---\n",
      "calculating kernels: 100%|██████████| 9406953/9406953.0 [07:44<00:00, 20250.39it/s]\n",
      "[[ 1.          0.14556962  0.43902439 ...,  0.42424242  0.3255814   0.421875  ]\n",
      " [ 0.14556962  1.          0.11392405 ...,  0.24852071  0.35882353\n",
      "   0.24550898]\n",
      " [ 0.43902439  0.11392405  1.         ...,  0.27142857  0.25287356\n",
      "   0.28358209]\n",
      " ..., \n",
      " [ 0.42424242  0.24852071  0.27142857 ...,  1.          0.6744186\n",
      "   0.44047619]\n",
      " [ 0.3255814   0.35882353  0.25287356 ...,  0.6744186   1.          0.42424242]\n",
      " [ 0.421875    0.24550898  0.28358209 ...,  0.44047619  0.42424242  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd978581be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 2.0} is: \n",
      "getting paths: 100%|██████████| 4337/4337 [00:02<00:00, 1887.80it/s]\n",
      "calculating kernels: 100%|█████████▉| 9406193/9406953.0 [22:41<00:00, 7586.65it/s]  \n",
      " --- kernel matrix of path kernel up to 2 of size 4337 built in 1364.0251250267029 seconds ---\n",
      "calculating kernels: 100%|██████████| 9406953/9406953.0 [22:41<00:00, 6908.07it/s]\n",
      "[[ 1.          0.37037037  0.63157895 ...,  0.61904762  0.5         0.28205128]\n",
      " [ 0.37037037  1.          0.28571429 ...,  0.56        0.46666667\n",
      "   0.30952381]\n",
      " [ 0.63157895  0.28571429  1.         ...,  0.43478261  0.46153846  0.225     ]\n",
      " ..., \n",
      " [ 0.61904762  0.56        0.43478261 ...,  1.          0.7826087   0.3       ]\n",
      " [ 0.5         0.46666667  0.46153846 ...,  0.7826087   1.          0.29545455]\n",
      " [ 0.28205128  0.30952381  0.225      ...,  0.3         0.29545455  1.        ]]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd97035e080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 2.0} is: \n",
      "getting paths: 100%|██████████| 4337/4337 [00:02<00:00, 1814.51it/s]\n",
      "calculating kernels:  60%|█████▉    | 5616647/9406953.0 [06:52<04:20, 14551.18it/s]"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-1-988dab4f6adf>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     55\u001b[0m         \u001b[0;34m(\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'task'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'task'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mds\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m'classification'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mNUM_TRIALS\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     56\u001b[0m         \u001b[0mdatafile_y\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'dataset_y'\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'dataset_y'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mds\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 57\u001b[0;31m         extra_params=(ds['extra_params'] if 'extra_params' in ds else None))\n\u001b[0m\u001b[1;32m     58\u001b[0m     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/media/ljia/DATA/research-repo/codes/Linlin/py-graph/pygraph/utils/model_selection_precomputed.py\u001b[0m in \u001b[0;36mmodel_selection_for_precomputed_kernel\u001b[0;34m(datafile, estimator, param_grid_precomputed, param_grid, model_type, NUM_TRIALS, datafile_y, extra_params)\u001b[0m\n\u001b[1;32m     99\u001b[0m             \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'gram matrix with parameters'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams_out\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'is: '\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 101\u001b[0;31m         \u001b[0mKmatrix\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcurrent_run_time\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mestimator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mparams_out\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    102\u001b[0m         \u001b[0mKmatrix_diag\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mKmatrix\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdiagonal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/media/ljia/DATA/research-repo/codes/Linlin/py-graph/pygraph/kernels/untilHPathKernel.py\u001b[0m in \u001b[0;36muntilhpathkernel\u001b[0;34m(node_label, edge_label, labeled, depth, k_func, *args)\u001b[0m\n\u001b[1;32m     75\u001b[0m                 \u001b[0mnode_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnode_label\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     76\u001b[0m                 \u001b[0medge_label\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0medge_label\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 77\u001b[0;31m                 labeled=labeled)\n\u001b[0m\u001b[1;32m     78\u001b[0m             \u001b[0mKmatrix\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mKmatrix\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     79\u001b[0m             \u001b[0mpbar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/media/ljia/DATA/research-repo/codes/Linlin/py-graph/pygraph/kernels/untilHPathKernel.py\u001b[0m in \u001b[0;36m_untilhpathkernel_do\u001b[0;34m(paths1, paths2, k_func, node_label, edge_label, labeled)\u001b[0m\n\u001b[1;32m    122\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    123\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# MinMax kernel\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 124\u001b[0;31m         \u001b[0mpath_count1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCounter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpaths1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    125\u001b[0m         \u001b[0mpath_count2\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCounter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpaths2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    126\u001b[0m         vector1 = [(path_count1[key] if (key in path_count1.keys()) else 0)\n",
      "\u001b[0;32m/usr/lib/python3.5/collections/__init__.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m    528\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'expected at most 1 arguments, got %d'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    529\u001b[0m         \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mCounter\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__init__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 530\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    531\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    532\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__missing__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.5/collections/__init__.py\u001b[0m in \u001b[0;36mupdate\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m    607\u001b[0m         \u001b[0miterable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0margs\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    608\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0miterable\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 609\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miterable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mMapping\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    610\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    611\u001b[0m                     \u001b[0mself_get\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/lib/python3.5/abc.py\u001b[0m in \u001b[0;36m__instancecheck__\u001b[0;34m(cls, instance)\u001b[0m\n\u001b[1;32m    182\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0msubclass\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_abc_cache\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    183\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 184\u001b[0;31m         \u001b[0msubtype\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minstance\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    185\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0msubtype\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0msubclass\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    186\u001b[0m             if (cls._abc_negative_cache_version ==\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "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.untilHPathKernel import untilhpathkernel\n",
    "\n",
    "dslist = [   \n",
    "    {'name': 'Acyclic', 'dataset': '../datasets/acyclic/dataset_bps.ds', 'task': 'regression'},\n",
    "#     {'name': 'MAO', 'dataset': '../datasets/MAO/dataset.ds',},\n",
    "#     {'name': 'PAH', 'dataset': '../datasets/PAH/dataset.ds',},\n",
    "#     {'name': 'MUTAG', 'dataset': '../datasets/MUTAG/MUTAG.mat',\n",
    "#         'extra_params': {'am_sp_al_nl_el': [0, 0, 3, 1, 2]}},\n",
    "#     {'name': 'Alkane', 'dataset': '../datasets/Alkane/dataset.ds', 'task': 'regression', \n",
    "#         'dataset_y': '../datasets/Alkane/dataset_boiling_point_names.txt',},\n",
    "#     {'name': 'BZR', 'dataset': '../datasets/BZR_txt/BZR_A_sparse.txt'},\n",
    "#     {'name': 'COX2', 'dataset': '../datasets/COX2_txt/COX2_A_sparse.txt'},    \n",
    "#     {'name': 'ENZYMES', 'dataset': '../datasets/ENZYMES_txt/ENZYMES_A_sparse.txt'},\n",
    "#     {'name': 'DHFR', 'dataset': '../datasets/DHFR_txt/DHFR_A_sparse.txt'},\n",
    "#     {'name': 'SYNTHETIC', 'dataset': '../datasets/SYNTHETIC_txt/SYNTHETIC_A_sparse.txt'},\n",
    "#     {'name': 'MSRC9', 'dataset': '../datasets/MSRC_9_txt/MSRC_9_A.txt'},\n",
    "#     {'name': 'MSRC21', 'dataset': '../datasets/MSRC_21_txt/MSRC_21_A.txt'},\n",
    "#     {'name': 'FIRSTMM_DB', 'dataset': '../datasets/FIRSTMM_DB/FIRSTMM_DB_A.txt'},\n",
    "    {'name': 'Mutagenicity', 'dataset': '../datasets/Mutagenicity/Mutagenicity_A.txt'},\n",
    "    {'name': 'PROTEINS', 'dataset': '../datasets/PROTEINS_txt/PROTEINS_A_sparse.txt'},\n",
    "    {'name': 'PROTEINS_full', 'dataset': '../datasets/PROTEINS_full_txt/PROTEINS_full_A_sparse.txt'},\n",
    "    {'name': 'D&D', 'dataset': '../datasets/D&D/DD.mat',\n",
    "     'extra_params': {'am_sp_al_nl_el': [0, 1, 2, 1, -1]}},\n",
    "    {'name': 'AIDS', 'dataset': '../datasets/AIDS/AIDS_A.txt'},\n",
    "    {'name': 'NCI1', 'dataset': '../datasets/NCI1/NCI1.mat',\n",
    "        'extra_params': {'am_sp_al_nl_el': [1, 1, 2, 0, -1]}},\n",
    "    {'name': 'NCI109', 'dataset': '../datasets/NCI109/NCI109.mat',\n",
    "        'extra_params': {'am_sp_al_nl_el': [1, 1, 2, 0, -1]}},\n",
    "    {'name': 'NCI-HIV', 'dataset': '../datasets/NCI-HIV/AIDO99SD.sdf',\n",
    "        'dataset_y': '../datasets/NCI-HIV/aids_conc_may04.txt',},\n",
    "    \n",
    "#     # not working below\n",
    "#     {'name': 'PTC_FM', 'dataset': '../datasets/PTC/Train/FM.ds',},\n",
    "#     {'name': 'PTC_FR', 'dataset': '../datasets/PTC/Train/FR.ds',},\n",
    "#     {'name': 'PTC_MM', 'dataset': '../datasets/PTC/Train/MM.ds',},\n",
    "#     {'name': 'PTC_MR', 'dataset': '../datasets/PTC/Train/MR.ds',},\n",
    "]\n",
    "estimator = untilhpathkernel\n",
    "param_grid_precomputed = {'depth': np.linspace(0, 10, 11), 'k_func': ['tanimoto', 'MinMax']}\n",
    "param_grid = [{'C': np.logspace(-10, 10, num = 41, base = 10)}, \n",
    "              {'alpha': np.logspace(-10, 10, num = 41, base = 10)}]\n",
    "\n",
    "for ds in dslist:\n",
    "    print()\n",
    "    print(ds['name'])\n",
    "    model_selection_for_precomputed_kernel(\n",
    "        ds['dataset'], estimator, param_grid_precomputed, \n",
    "        (param_grid[1] if ('task' in ds and ds['task'] == 'regression') else param_grid[0]), \n",
    "        (ds['task'] if 'task' in ds else 'classification'), NUM_TRIALS=30,\n",
    "        datafile_y=(ds['dataset_y'] if 'dataset_y' in ds else None),\n",
    "        extra_params=(ds['extra_params'] if 'extra_params' in ds else None))\n",
    "    print()"
   ]
  },
  {
   "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",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 0.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 0 of size 183 built in 0.11041831970214844 seconds ---\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 0x7f7cb8e93f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 0.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 0 of size 183 built in 0.38330578804016113 seconds ---\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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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7cb6dedd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 1.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 1 of size 183 built in 0.1993114948272705 seconds ---\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 0x7f7cb6d5bd68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 1.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 1 of size 183 built in 0.5098922252655029 seconds ---\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 0x7f7cb6ceae80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 2.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 2 of size 183 built in 0.33618664741516113 seconds ---\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 0x7f7cb6cef0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 2.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 2 of size 183 built in 0.56915283203125 seconds ---\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 0x7f7cb6e2ae80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 3.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 3 of size 183 built in 0.5237185955047607 seconds ---\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 0x7f7cb6dbeda0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 3.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 3 of size 183 built in 0.6988370418548584 seconds ---\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 0x7f7cb6d4b9e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 4.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 4 of size 183 built in 0.7394986152648926 seconds ---\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 0x7f7cb6cc18d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 4.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 4 of size 183 built in 0.870086669921875 seconds ---\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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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7cb53e0908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 5.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 5 of size 183 built in 1.0799925327301025 seconds ---\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 0x7f7cb53bdfd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 5.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 5 of size 183 built in 1.0829052925109863 seconds ---\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 0x7f7cb531f908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 6.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 6 of size 183 built in 1.2987947463989258 seconds ---\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 0x7f7cb52dbb38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 6.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 6 of size 183 built in 1.317399024963379 seconds ---\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 0x7f7cb529da90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 7.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 7 of size 183 built in 1.5710387229919434 seconds ---\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": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7cb5228208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 7.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 7 of size 183 built in 1.4747083187103271 seconds ---\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 0x7f7cb523aac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 8.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 8 of size 183 built in 1.8554940223693848 seconds ---\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 0x7f7cb5186be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 8.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 8 of size 183 built in 1.733067274093628 seconds ---\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 0x7f7cb6dd4f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 9.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 9 of size 183 built in 2.201777219772339 seconds ---\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 0x7f7cb6d83908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 9.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 9 of size 183 built in 2.023785352706909 seconds ---\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 0x7f7cb5204c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'tanimoto', 'depth': 10.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 10 of size 183 built in 2.3982086181640625 seconds ---\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 0x7f7cb6d0d320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "gram matrix with parameters {'k_func': 'MinMax', 'depth': 10.0} is: \n",
      "\n",
      " --- kernel matrix of path kernel up to 10 of size 183 built in 2.323643684387207 seconds ---\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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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7cb6d36828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "22 gram matrices are calculated, 0 of which are ignored.\n",
      "\n",
      "3. Fitting and predicting using nested cross validation. This could really take a while...\n",
      "                                                                        \r"
     ]
    },
    {
     "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",
      "best_params_out:  [{'k_func': 'MinMax', 'depth': 2.0}]\n",
      "best_params_in:  [{'alpha': 0.1}]\n",
      "\n",
      "best_val_perf:  10.231761388304456\n",
      "best_val_std:  0.6348164522571891\n",
      "final_performance:  10.670706158962634\n",
      "final_confidence:  5.197078510391227\n",
      "train_performance:  5.8060420677138325\n",
      "train_std:  0.20976768885688923\n",
      "\n",
      "time to calculate gram matrix with different hyperpapams: 1.15±0.72\n",
      "time to calculate best gram matrix:  0.56915283203125 s\n",
      "\n",
      "params                                                      train_perf            valid_perf                 test_perf                     gram_matrix_time\n",
      "----------------------------------------------------------  --------------------  -------------------------  --------------------------  ------------------\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 0.0}     14.11±10.64           139133319.10±365663824.06  99055450.57±317003668.09                  0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 1.0}   38.58±0.59            62860473.93±180853211.35   32879292.40±101016177.80                  0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 1.0}     67.11±56.60           399999424.07±671923390.29  527445721.25±2397198784.07                0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 2.0}   35.78±5.60            407096840.42±320863867.81  983575254.36±3283901647.61                0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 2.0}     84.51±42.76           4326.62±4203.90            4040.78±5729.75                           0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 3.0}   239.67±320.71         243507173.25±926668056.15  2311116.12±5071531.44                     0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 3.0}     37.71±20.67           660.44±704.05              789.72±1245.10                            0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 4.0}   197.46±182.95         190334.76±208196.44        125991.01±400573.85                       0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 4.0}     36.87±18.91           394.59±249.67              565.68±663.02                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 5.0}   295.40±216.74         137292.31±155473.18        91513.51±259348.95                        1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 5.0}     58.57±37.35           745.46±539.44              533.25±777.44                             1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 6.0}   451.98±319.19         444796.76±823919.52        561350.67±1446400.89                      1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 6.0}     68.71±44.97           1185.26±2372.80            896.51±999.89                             1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 7.0}   456.63±248.34         258796.95±239154.10        236236.28±810839.92                       1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 7.0}     79.48±45.14           1087.94±1399.03            832.64±983.87                             1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 8.0}   427.36±250.68         221143.69±284987.91        147686.31±309681.37                       1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 8.0}     58.65±39.20           793.76±658.68              882.20±1618.34                            1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 9.0}   547.63±227.51         203225.54±303562.50        436442.47±868829.71                       2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 9.0}     60.80±36.01           658.32±429.68              650.40±932.75                             2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-10', 'depth': 10.0}  544.79±253.00         165113.61±188235.59        120967.35±271939.84                       2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-10', 'depth': 10.0}    67.11±35.10           860.62±622.56              877.21±1141.87                            2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 0.0}     20.06±34.31           44186628.33±115547999.28   31432348.98±100205168.98                  0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 1.0}   38.58±0.59            19871895.43±57176048.58    10392508.79±31927715.50                   0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 1.0}     194.66±183.15         128112896.20±211665627.97  167478838.67±758097839.19                 0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 2.0}   35.78±5.57            128743791.99±101466948.21  310997086.42±1038886001.47                0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 2.0}     258.77±274.25         12910.89±15722.92          19970.23±50615.88                         0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 3.0}   692.54±1006.56        82432103.88±291833083.63   7121746.14±15784016.40                    0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 3.0}     47.91±33.93           774.96±745.32              905.61±1351.33                            0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 4.0}   539.36±556.84         518135.72±475726.55        394947.11±1316697.87                      0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 4.0}     46.24±31.29           455.73±303.12              663.63±790.89                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 5.0}   918.51±734.51         442067.00±492171.57        290044.73±811738.71                       1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 5.0}     76.18±62.50           882.85±737.91              705.70±1204.70                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 6.0}   1441.22±1049.07       1055267.83±1446222.62      1514669.22±3553701.50                     1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 6.0}     88.62±72.21           1414.71±2808.62            1070.97±1129.70                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 7.0}   1367.03±714.38        760181.60±718719.26        714209.59±2096712.58                      1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 7.0}     125.37±110.26         2112.55±4108.33            1253.69±1605.93                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 8.0}   1293.62±719.60        472077.20±420465.93        356731.54±656998.77                       1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 8.0}     75.03±71.52           914.18±919.34              1064.00±2086.22                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 9.0}   1687.72±772.89        571837.71±532420.77        947459.22±1563830.97                      2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 9.0}     73.44±55.61           725.41±442.50              767.22±1133.57                            2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-10', 'depth': 10.0}  1457.18±709.18        487251.75±562207.65        405863.73±993871.47                       2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-10', 'depth': 10.0}    95.24±69.56           1175.82±990.01             1092.84±1347.50                           2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 0.0}     38.92±109.21          14586454.16±36475856.90    10289150.96±31639224.01                   0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 1.0}   38.58±0.59            6284340.52±18081554.60     3286550.65±10096955.95                    0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 1.0}     597.68±583.29         45609051.52±64869750.00    55067222.49±239525308.81                  0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 2.0}   35.77±5.50            40734846.86±32052772.39    98313928.72±328386256.01                  0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 2.0}     660.78±477.19         38460.50±42974.91          38730.55±58312.02                         0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 3.0}   2115.33±3169.73       43219664.24±95827049.53    22356678.82±49911051.39                   0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 3.0}     66.19±92.42           881.52±877.16              1087.03±1784.96                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 4.0}   1706.02±1866.54       2228992.25±3666044.38      1315487.74±4258398.15                     0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 4.0}     51.32±38.30           496.72±374.32              686.12±803.21                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 5.0}   2899.19±2317.34       1442141.97±1568927.95      927670.69±2928901.46                      1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 5.0}     91.88±109.71          908.69±747.68              807.01±1385.34                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 6.0}   4400.95±3414.80       3778222.54±6304179.91      5658347.07±14690380.03                    1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 6.0}     99.59±97.36           1460.77±2888.27            1125.71±1178.28                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 7.0}   4887.55±2895.85       5724566.40±9960547.50      2617788.52±8341716.17                     1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 7.0}     182.40±229.65         2929.96±5361.16            1633.72±2154.83                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 8.0}   3535.99±2266.77       1808859.19±1817802.52      1433690.49±3313059.83                     1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 8.0}     79.29±78.37           932.70±958.88              1101.33±2090.06                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 9.0}   4989.94±2269.98       1669601.93±1698312.42      3804177.84±6054425.03                     2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 9.0}     99.12±120.63          869.85±728.55              1036.82±2030.71                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-09', 'depth': 10.0}  4794.03±2696.58       3023074.96±6321243.28      1189752.38±2894973.51                     2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-09', 'depth': 10.0}    126.48±136.79         1371.51±1286.93            1238.78±1468.32                           2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 0.0}     67.56±188.71          5499069.70±12494742.28     3766867.51±10324052.21                    0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 1.0}   38.58±0.59            1987278.26±5717748.36      1039325.22±3192948.09                     0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 1.0}     1655.54±1552.02       26483644.47±21839814.90    20492979.66±75891337.38                   0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 2.0}   35.73±5.30            12898579.80±10117964.47    31088449.67±103836855.91                  0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 2.0}     2015.84±1702.68       162673.90±337073.64        171058.51±458394.84                       0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 3.0}   7159.00±11811.67      51059967.24±45469692.35    65824387.28±161042478.52                  0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 3.0}     88.56±174.71          980.05±1032.66             1164.64±1856.14                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 4.0}   6631.47±12179.35      7221868.64±10951832.81     6929409.19±25921319.75                    0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 4.0}     56.93±53.63           517.33±407.69              699.37±799.44                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 5.0}   8694.20±6956.39       5053285.16±5383589.17      2734044.40±8959603.89                     1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 5.0}     100.82±128.73         939.39±764.30              870.24±1438.28                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 6.0}   22137.04±19770.99     28197340.13±42281242.19    22946187.79±54501546.50                   1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 6.0}     105.96±121.31         1469.36±2886.78            1149.08±1195.46                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 7.0}   18481.58±16861.99     14940307.30±24595280.70    10298025.04±24186799.15                   1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 7.0}     258.84±497.26         4125.06±9134.89            1906.86±2644.32                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 8.0}   15588.37±14193.37     8966885.24±17005064.04     5412566.74±9050863.67                     1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 8.0}     80.50±77.98           939.82±955.26              1118.70±2090.94                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 9.0}   31988.99±37835.18     21477332.19±48090896.48    48860111.20±114004280.94                  2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 9.0}     109.15±148.12         943.27±928.09              1218.60±2881.84                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-09', 'depth': 10.0}  20460.38±16007.72     12557581.84±25942533.43    4531280.61±8193305.04                     2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-09', 'depth': 10.0}    180.20±324.52         1495.68±1444.98            1505.18±2180.20                           2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 0.0}     49.71±121.08          1777725.88±3939524.24      1228429.72±3256744.36                     0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 1.0}   38.58±0.59            628463.23±1808115.18       328691.85±1009706.65                      0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 1.0}     2351.95±2845.46       11750316.81±7446939.87     7179043.93±23948557.55                    0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 2.0}   35.63±4.75            4093265.23±3182700.72      9831080.78±32836011.26                    0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 2.0}     10624.08±19482.89     706438.98±1361151.29       877671.95±2514280.87                      0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 3.0}   7738.02±12323.72      29864604.86±16183312.89    52476898.46±134399538.92                  0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 3.0}     106.68±222.57         1024.96±1160.67            1259.16±2143.10                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 4.0}   17655.05±22844.98     15146949.66±11355908.20    13292349.30±44462910.62                   0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 4.0}     57.49±55.90           519.39±412.64              700.71±799.48                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 5.0}   42363.51±46166.44     37475264.80±73466828.95    12990930.96±30953275.67                   1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 5.0}     106.85±141.84         968.17±812.22              919.30±1514.80                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 6.0}   52105.19±50501.55     19343582.62±15244364.26    29478265.51±54321962.94                   1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 6.0}     105.92±121.15         1469.29±2886.71            1148.95±1195.33                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 7.0}   100615.25±120799.84   47941296.71±80307033.13    53473794.34±159668695.03                  1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 7.0}     296.79±673.35         4459.90±10038.00           1993.09±2804.86                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 8.0}   80078.61±83548.11     18062527.52±17891619.50    16561214.28±35828170.08                   1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 8.0}     84.34±80.41           962.53±954.58              1173.50±2121.95                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 9.0}   105801.92±85784.07    20758369.78±23833194.18    36065001.33±57475693.71                   2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 9.0}     109.12±148.02         943.05±927.33              1217.78±2877.73                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-08', 'depth': 10.0}  96819.43±90227.16     24705971.84±37375951.55    12786588.68±24608055.67                   2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-08', 'depth': 10.0}    289.35±879.01         1597.23±1568.34            2230.26±5803.31                           2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 0.0}     23.48±38.08           562436.20±1245906.61       388671.53±1029890.87                      0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 1.0}   38.58±0.59            198765.14±571774.64        103967.43±319298.32                       0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 1.0}     1356.33±2032.60       4071018.74±2505013.30      2453408.37±7576548.77                     0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 2.0}   35.40±3.54            1304301.26±996825.93       3108951.83±10383989.94                    0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 2.0}     32825.96±38356.29     2167144.66±6237905.52      1482683.23±3218072.65                     0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 3.0}   3527.94±5335.20       10428636.90±4713593.05     17061924.28±43365787.32                   0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 3.0}     118.68±270.12         1053.86±1261.33            1321.53±2376.01                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 4.0}   16008.64±15022.07     8008646.37±5212612.43      6385596.91±20555889.53                    0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 4.0}     57.47±55.82           519.27±412.42              700.70±799.67                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 5.0}   114800.49±145441.11   14547468.93±16587920.64    15555519.66±38390629.33                   1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 5.0}     106.84±141.81         968.14±812.07              919.29±1515.05                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 6.0}   144486.57±192587.85   14612703.47±8568821.66     32786247.78±81959044.86                   1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 6.0}     105.92±121.15         1469.22±2886.51            1148.97±1195.37                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 7.0}   268611.96±343336.70   18460794.67±23298507.31    20417956.06±35135707.64                   1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 7.0}     296.20±671.52         4448.32±9996.95            1990.28±2797.41                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 8.0}   283053.27±283098.78   18812117.37±20870135.69    18252521.71±33733453.92                   1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 8.0}     88.19±87.97           985.28±969.99              1228.46±2194.29                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 9.0}   239098.05±186897.51   15059173.76±7755938.03     23501311.87±28775633.38                   2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 9.0}     109.02±147.73         942.35±924.95              1215.11±2864.07                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-08', 'depth': 10.0}  281485.99±393430.95   14827956.59±10173863.70    32282771.03±65886576.27                   2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-08', 'depth': 10.0}    498.88±2014.53        1791.96±2215.59            3622.48±13329.39                          2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 0.0}     15.19±11.82           178034.48±393917.94        123063.40±325628.55                       0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 1.0}   38.58±0.59            62882.66±180809.71         32903.22±100971.74                        0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 1.0}     434.65±642.72         1287372.87±792206.82       776331.31±2396401.07                      0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 2.0}   35.09±1.90            416851.21±312487.53        983160.67±3283693.32                      0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 2.0}     34174.78±28558.08     1179679.13±1466643.27      763367.56±876496.59                       0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 3.0}   1138.64±1682.69       3298452.07±1490366.61      5395401.89±13711765.59                    0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 3.0}     118.28±268.33         1053.86±1259.78            1320.06±2368.58                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 4.0}   14390.09±22361.88     2605820.02±1695799.23      2104201.92±6493420.11                     0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 4.0}     57.41±55.61           518.89±411.77              700.71±800.29                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 5.0}   116758.94±123742.10   4483198.10±4197612.77      4353706.15±9060406.94                     1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 5.0}     106.82±141.74         968.05±811.63              919.32±1516.08                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 6.0}   168304.70±199780.66   7322859.44±9067250.05      9622427.07±15169513.30                    1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 6.0}     105.93±121.23         1469.01±2885.79            1149.12±1195.57                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 7.0}   215500.20±229311.72   9018650.17±12698557.63     8407335.56±13677944.39                    1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 7.0}     294.46±666.28         4414.15±9876.06            1981.98±2775.49                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 8.0}   213427.29±188423.80   9339596.97±11572405.41     8607197.72±11651408.84                    1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 8.0}     88.23±88.05           985.54±970.11              1229.06±2195.50                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 9.0}   329318.51±233361.76   9907297.21±7971489.87      20905976.69±29737436.99                   2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 9.0}     108.71±146.82         940.20±917.58              1206.86±2821.96                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-07', 'depth': 10.0}  428910.88±537991.85   11832396.10±10215139.07    16226225.42±25833679.17                   2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-07', 'depth': 10.0}    508.21±2066.14        1799.75±2251.19            3685.03±13672.21                          2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 0.0}     12.57±3.55            56473.71±124498.77         39068.62±102923.61                        0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 1.0}   38.58±0.59            19912.87±57175.82          10430.75±31930.85                         0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 1.0}     143.35±203.18         407084.35±250542.76        245980.83±758297.02                       0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 2.0}   34.86±0.86            132921.72±98541.45         310925.87±1038388.08                      0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 2.0}     35727.78±30627.15     1090478.94±1296251.82      697030.88±984455.44                       0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 3.0}   382.66±528.48         1043687.35±471078.96       1706089.31±4334384.34                     0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 3.0}     117.22±263.53         1054.39±1256.91            1316.42±2349.09                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 4.0}   5018.12±7914.25       825781.29±534642.31        667225.90±2052904.55                      0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 4.0}     57.22±54.96           517.73±409.74              700.75±802.28                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 5.0}   119256.87±206769.36   1806896.24±1572692.21      1605305.73±3048081.82                     1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 5.0}     106.76±141.54         967.81±810.39              919.57±1519.67                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 6.0}   124243.85±156915.17   2877265.80±3132732.92      3686225.21±5194704.27                     1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 6.0}     105.95±121.35         1468.35±2883.57            1149.49±1196.07                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 7.0}   175613.03±175436.30   4927949.35±6296166.18      3508754.51±4473816.03                     1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 7.0}     289.19±650.07         4312.60±9523.00            1957.23±2711.50                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 8.0}   188645.92±162319.18   5838368.60±8403391.46      8702714.82±15965427.25                    1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 8.0}     88.33±88.26           986.26±970.39              1230.68±2198.93                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 9.0}   354573.46±309067.36   8117846.32±10350828.69     20605681.88±53741199.57                   2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 9.0}     107.81±144.16         933.81±896.07              1182.46±2698.06                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-07', 'depth': 10.0}  388489.67±443334.64   7649472.05±7910305.16      9594689.41±12431003.36                    2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-07', 'depth': 10.0}    539.88±2241.24        1826.40±2375.60            3897.18±14835.10                          2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 0.0}     11.76±1.01            18024.89±39308.21          12500.15±32504.10                         0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 1.0}   38.58±0.59            6324.63±18079.35           3324.34±10098.20                          0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 1.0}     51.50±64.20           128712.47±79257.74         78262.50±240288.24                        0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 2.0}   34.77±0.69            42221.36±31157.91          98347.15±328363.78                        0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 2.0}     22030.56±29969.07     729804.92±1439749.00       468961.95±1053738.30                      0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 3.0}   142.64±165.84         330550.99±148813.22        539525.63±1369516.10                      0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 3.0}     114.28±250.33         1058.61±1256.77            1307.76±2297.45                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 4.0}   1689.64±2613.28       269859.79±159896.76        211714.35±649028.00                       0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 4.0}     56.67±53.05           514.32±403.72              701.19±809.21                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 5.0}   41644.23±74875.55     610425.44±596884.31        539318.40±1075515.09                      1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 5.0}     106.61±141.00         967.24±806.83              920.65±1532.43                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 6.0}   89966.18±171526.35    1067353.63±1251046.45      1344907.52±1815335.52                     1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 6.0}     106.00±121.70         1466.28±2876.56            1150.71±1197.69                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 7.0}   73407.85±95593.32     1848743.39±2895030.05      1176107.23±1442334.13                     1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 7.0}     275.09±606.00         4051.05±8655.45            1892.52±2553.74                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 8.0}   162203.74±252647.48   3269017.62±5206871.08      10582934.87±26826985.38                   1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 8.0}     88.67±88.99           988.68±971.51              1236.12±2210.59                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 9.0}   381707.78±857569.42   6451659.75±12692709.97     11644098.95±21434296.42                   2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 9.0}     105.42±137.43         917.06±842.13              1119.28±2381.73                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-06', 'depth': 10.0}  370938.66±594951.97   3817072.22±4170134.02      5034518.98±5937319.06                     2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-06', 'depth': 10.0}    689.73±3066.97        1957.48±3018.17            4898.25±20318.14                          2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 0.0}     11.54±0.41            5845.02±12386.45           4079.74±10250.03                          0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 1.0}   38.58±0.59            2027.65±5715.95            1077.09±3194.11                           0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 1.0}     22.77±20.27           40684.09±25104.22          25255.95±76526.46                         0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 2.0}   34.75±0.70            13394.71±9853.18           31123.87±103834.17                        0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 2.0}     11197.74±20344.44     261985.31±532512.95        219003.25±624610.31                       0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 3.0}   65.18±54.44           104854.27±46970.84         170713.73±432568.51                       0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 3.0}     108.41±222.51         1104.73±1379.05            1307.19±2210.42                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 4.0}   530.80±768.95         83860.14±52477.93          67486.25±205161.09                        0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 4.0}     55.31±48.27           505.57±387.68              705.52±837.63                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 5.0}   13069.39±23584.47     200763.06±221089.55        176193.10±368838.55                       1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 5.0}     106.39±139.87         967.05±799.33              927.96±1589.68                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 6.0}   32536.63±66580.17     348653.38±404557.37        441009.44±582226.29                       1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 6.0}     106.20±122.88         1460.20±2854.81            1155.42±1203.28                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 7.0}   25199.52±39540.49     584045.40±833290.31        390922.88±510240.13                       1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 7.0}     245.41±507.47         3550.66±7178.60            1764.08±2278.80                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 8.0}   114374.73±241436.09   1678943.19±3452178.41      6319465.55±20480515.45                    1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 8.0}     89.98±92.23           997.75±978.04              1256.75±2256.79                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 9.0}   283899.64±873729.65   7892904.46±27824053.77     4844461.05±10972963.86                    2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 9.0}     100.62±124.89         884.25±745.93              999.47±1809.75                            2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-06', 'depth': 10.0}  339175.36±964202.12   2387809.38±4305298.13      2862994.24±4816740.98                     2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-06', 'depth': 10.0}    3577.30±18897.75      4623.05±17463.09           24097.62±125467.72                        2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 0.0}     11.48±0.35            1950.09±3902.40            1379.07±3235.52                           0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 1.0}   38.58±0.59            668.82±1806.31             366.45±1010.85                            0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 1.0}     14.02±6.41            13005.88±7752.97           8502.28±24859.33                          0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 2.0}   34.75±0.70            4261.84±3114.54            9866.09±32831.66                          0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 2.0}     2510.86±3869.85       76960.08±152099.32         56397.66±143159.76                        0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 3.0}   39.65±19.59           33332.97±14774.73          54091.48±136635.67                        0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 3.0}     100.31±190.67         1186.41±1653.24            1331.08±2217.95                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 4.0}   183.56±238.55         26573.33±16182.03          21576.53±64937.96                         0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 4.0}     53.35±40.76           490.07±354.28              750.54±1022.37                            0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 5.0}   3902.36±6741.38       75112.26±128301.16         65844.22±169461.34                        1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 5.0}     110.53±145.42         990.93±827.20              1042.62±2215.93                           1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 6.0}   9885.67±19977.01      111324.38±124633.32        140450.94±183026.97                       1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 6.0}     107.50±127.01         1446.40±2790.04            1181.41±1231.01                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 7.0}   10261.56±19747.35     544526.27±2279678.53       351031.05±1368888.02                      1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 7.0}     204.02±349.41         2993.93±6033.83            1611.60±2023.34                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 8.0}   26725.56±39713.25     575282.09±1559304.79       734255.91±1738271.07                      1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 8.0}     98.65±123.74          1053.87±1075.23            1387.64±2620.25                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 9.0}   45819.16±114556.07    885163.32±1742465.90       776484.38±1412569.30                      2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 9.0}     94.74±108.97          849.00±643.98              868.94±1270.52                            2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-05', 'depth': 10.0}  125865.76±372111.27   706606.29±1153308.30       1210261.13±2154270.70                     2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-05', 'depth': 10.0}    265.08±799.77         1504.58±1414.17            2160.43±5388.19                           2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 0.0}     11.46±0.33            666.30±1239.28             479.89±1030.62                            0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 1.0}   38.58±0.59            239.13±569.97              141.72±320.48                             0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 1.0}     11.47±2.03            4261.88±2278.74            3040.83±8518.75                           0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 2.0}   34.75±0.70            1372.05±983.53             3143.85±10378.68                          0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 2.0}     639.79±939.32         23271.72±43557.62          14262.43±27883.87                         0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 3.0}   31.63±6.75            10687.04±4536.65           17222.01±43140.37                         0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 3.0}     119.60±280.73         1235.08±1886.59            1996.41±5685.95                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 4.0}   79.97±86.26           8761.87±5170.48            6887.56±19858.29                          0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 4.0}     61.86±71.26           501.15±341.66              1423.00±3893.80                           0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 5.0}   1104.02±1763.08       17218.74±13158.44          14356.40±26429.47                         1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 5.0}     105.76±153.92         1046.13±1056.01            897.88±1558.82                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 6.0}   2923.40±5534.15       44831.85±45070.14          50011.38±72115.70                         1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 6.0}     113.66±148.23         1420.36±2640.89            1281.57±1421.66                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 7.0}   3071.63±4704.01       101985.24±197311.12        50131.08±82349.42                         1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 7.0}     211.46±271.95         3678.58±10872.36           1774.72±2441.15                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 8.0}   191952.94±1021308.28  75782.33±106684.52         3388917.85±18102160.22                    1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 8.0}     96.13±100.28          1064.62±1014.12            1380.17±2697.44                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 9.0}   30842.63±147470.80    627669.20±1986141.29       231203.73±563606.50                       2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 9.0}     514.67±2315.54        5719.97±26731.21           1596.83±4350.42                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-05', 'depth': 10.0}  493381.51±2269794.01  929473.25±3967935.90       2204955.97±7898655.66                     2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-05', 'depth': 10.0}    153.58±226.27         1484.92±1794.70            1540.41±2394.35                           2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 0.0}     11.45±0.33            229.96±396.31              169.55±330.62                             0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 1.0}   38.58±0.59            103.24±179.01              70.66±102.26                              0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 1.0}     10.75±0.64            1417.74±673.66             1114.81±3082.07                           0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 2.0}   34.75±0.70            458.21±309.94              1018.20±3278.40                           0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 2.0}     390.48±675.27         20791.63±56612.21          7030.00±12351.17                          0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 3.0}   29.54±2.12            3720.98±1313.46            5746.10±13557.07                          0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 3.0}     84.42±119.98          1298.22±1824.30            1276.23±1959.47                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 4.0}   53.05±65.72           3121.99±1979.54            3465.67±8125.69                           0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 4.0}     348.56±1680.31        552.57±926.23              1177.13±3241.46                           0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 5.0}   388.28±582.52         7978.45±6631.72            5290.97±8144.48                           1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 5.0}     183.14±450.63         1474.14±1755.32            1887.71±5248.97                           1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 6.0}   746.90±1369.15        14057.93±21553.13          16442.79±22352.19                         1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 6.0}     189.11±552.00         1375.48±2317.50            1480.88±2291.01                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 7.0}   727.47±1169.12        19715.00±32069.60          23603.76±57065.69                         1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 7.0}     198.26±340.58         2179.44±3962.19            2271.97±4733.76                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 8.0}   1664.14±3435.79       15866.23±20018.54          19977.96±33516.31                         1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 8.0}     106.72±92.76          1443.27±1689.37            1946.87±5647.27                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 9.0}   2132.72±7627.62       22538.80±41734.61          28245.20±46843.37                         2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 9.0}     133.50±281.90         1312.90±3033.16            1192.29±2016.33                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-04', 'depth': 10.0}  13051.43±34624.99     124343.63±456898.63        126985.45±428940.61                       2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-04', 'depth': 10.0}    129.38±233.89         1353.14±2157.71            1083.44±1249.92                           2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 0.0}     11.44±0.33            83.49±126.15               64.23±105.82                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 1.0}   38.58±0.59            60.28±55.40                48.19±33.54                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 1.0}     10.58±0.35            471.30±210.58              394.10±1084.48                            0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 2.0}   34.75±0.70            169.45±97.24               346.16±1033.08                            0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 2.0}     229.58±442.91         7492.94±16974.83           4313.17±9725.45                           0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 3.0}   29.39±2.92            1528.24±2321.02            1753.93±4288.05                           0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 3.0}     91.33±109.57          1203.66±1786.66            1531.67±2675.38                           0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 4.0}   26.37±12.18           929.86±495.93              744.93±2009.33                            0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 4.0}     62.28±81.44           629.15±1057.48             696.63±772.79                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 5.0}   91.71±95.57           2497.41±4089.17            2618.76±4455.21                           1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 5.0}     82.41±92.56           808.17±574.67              772.00±1388.33                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 6.0}   182.93±291.98         3155.84±4235.62            3824.10±5010.13                           1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 6.0}     162.79±208.31         1568.42±2018.40            1944.28±2744.73                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 7.0}   212.86±329.93         6617.34±17966.26           3340.23±3333.63                           1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 7.0}     120.17±105.86         1288.23±1264.35            1310.51±1776.64                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 8.0}   248.63±339.48         4822.92±10848.15           6058.56±19581.12                          1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 8.0}     160.76±248.19         2237.25±4617.49            2556.71±6531.43                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 9.0}   463.84±1212.10        6544.81±11783.73           8545.11±20534.29                          2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 9.0}     138.95±239.56         1705.46±4151.55            1428.28±3652.01                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-04', 'depth': 10.0}  1324.91±2654.32       12635.15±21465.83          14019.48±40664.23                         2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-04', 'depth': 10.0}    118.73±123.23         3362.06±10154.45           1547.72±2144.62                           2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.75                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 0.0}     11.43±0.33            35.80±39.78                29.77±33.94                               0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 1.0}   38.58±0.59            46.70±16.36                41.09±12.57                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 1.0}     10.55±0.32            159.09±67.10               136.79±360.11                             0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 2.0}   34.75±0.70            78.39±30.07                133.82±323.10                             0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 2.0}     45.86±77.93           885.07±921.87              826.16±1066.10                            0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 3.0}   29.15±2.11            413.15±273.17              653.51±1590.25                            0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 3.0}     1149.66±5949.93       32406.58±173126.08         38514.39±203148.90                        0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 4.0}   22.69±7.57            385.51±415.41              247.84±620.40                             0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 4.0}     48.92±41.82           659.94±683.91              720.45±839.27                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 5.0}   34.55±22.12           453.52±174.27              419.18±707.83                             1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 5.0}     71.05±68.08           1152.32±1874.31            781.47±1485.79                            1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 6.0}   51.39±56.89           856.63±1180.92             1068.12±1333.94                           1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 6.0}     113.67±140.85         1632.50±3699.16            1520.00±2107.57                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 7.0}   59.34±79.65           739.36±523.67              818.29±960.19                             1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 7.0}     129.16±138.39         1740.25±2937.72            1589.73±2682.74                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 8.0}   59.05±44.84           1188.18±1668.04            1029.04±1571.61                           1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 8.0}     70.43±51.20           1182.80±2211.01            862.65±1076.67                            1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 9.0}   65.62±73.03           842.48±377.57              922.20±1156.40                            2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 9.0}     85.34±69.72           1107.82±1269.14            972.09±1386.55                            2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-03', 'depth': 10.0}  171.68±419.99         2768.29±10276.06           1047.81±1534.16                           2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-03', 'depth': 10.0}    126.62±135.93         1298.72±1459.88            1612.57±2299.04                           2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.74                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 0.0}     11.42±0.32            20.52±12.36                18.70±11.21                               0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 1.0}   38.58±0.59            42.42±4.18                 38.85±7.12                                0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 1.0}     10.54±0.31            58.55±21.24                51.19±115.44                              0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 2.0}   34.75±0.70            49.85±8.87                 66.83±98.81                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 2.0}     28.95±85.83           176.62±295.25              242.57±541.09                             0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 3.0}   28.56±0.47            138.09±45.02               200.35±424.79                             0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 3.0}     197.54±774.72         2504.09±7453.45            3527.62±11169.11                          0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 4.0}   19.82±1.64            110.08±45.69               94.72±204.32                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 4.0}     58.86±111.45          934.09±2080.38             731.36±1444.56                            0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 5.0}   21.30±4.94            153.48±54.28               141.23±228.54                             1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 5.0}     175.45±416.92         1157.90±1796.23            1277.95±2518.65                           1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 6.0}   20.72±11.02           180.12±61.64               282.22±406.93                             1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 6.0}     105.33±104.13         1831.45±2805.32            1170.03±1290.20                           1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 7.0}   22.35±14.49           210.51±71.34               242.18±291.31                             1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 7.0}     207.34±330.88         1773.43±2335.57            2655.35±4827.20                           1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 8.0}   21.69±8.12            234.31±176.54              214.55±280.03                             1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 8.0}     64.53±60.75           887.21±863.41              1264.22±2736.52                           1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 9.0}   20.45±7.55            224.83±68.23               264.80±327.61                             2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 9.0}     329.54±1395.22        1555.62±2892.05            1996.65±5963.63                           2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-03', 'depth': 10.0}  28.38±18.50           251.94±115.90              216.33±281.27                             2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-03', 'depth': 10.0}    152.11±185.65         1376.86±1277.94            1875.64±3105.96                           2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 0.0}   42.37±0.73            42.31±0.79                 42.94±5.74                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 0.0}     11.39±0.31            15.58±3.74                 15.05±4.30                                0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 1.0}   38.57±0.59            41.09±0.87                 38.16±6.07                                0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 1.0}     10.51±0.30            26.77±6.66                 24.05±36.19                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 2.0}   34.76±0.70            41.06±2.45                 45.81±28.50                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 2.0}     6.42±2.53             27.75±8.95                 33.52±41.69                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 3.0}   28.41±0.46            62.81±13.46                80.92±126.86                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 3.0}     17.39±18.28           80.99±74.13                103.81±121.33                             0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 4.0}   19.24±0.69            49.49±13.79                45.01±59.47                               0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 4.0}     20.79±25.05           102.70±82.91               116.94±143.15                             0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 5.0}   18.07±0.91            60.83±15.88                55.34±65.69                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 5.0}     65.54±109.48          351.08±441.91              333.41±561.88                             1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 6.0}   14.84±2.20            64.89±16.45                97.04±124.42                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 6.0}     74.50±94.34           503.91±607.95              730.98±1199.49                            1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 7.0}   14.55±1.79            72.00±11.67                83.05±90.18                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 7.0}     72.06±103.82          384.73±436.56              474.43±727.46                             1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 8.0}   14.22±1.79            77.09±22.90                72.86±79.84                               1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 8.0}     52.09±53.91           475.76±850.91              341.69±356.28                             1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 9.0}   13.92±1.12            79.93±20.48                91.85±99.30                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 9.0}     35.49±25.07           250.38±165.67              237.70±302.25                             2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-02', 'depth': 10.0}  15.67±4.77            84.84±28.36                81.07±93.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-02', 'depth': 10.0}    131.65±447.41         1192.76±4964.59            527.77±836.69                             2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 0.0}   42.37±0.73            42.30±0.79                 42.94±5.74                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 0.0}     11.37±0.30            13.82±1.14                 13.66±2.51                                0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 1.0}   38.57±0.59            40.59±0.70                 37.88±5.85                                0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 1.0}     10.48±0.28            16.81±2.09                 15.73±11.09                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 2.0}   34.80±0.70            38.40±1.10                 39.23±8.11                                0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 2.0}     4.89±0.24             12.52±1.78                 13.68±11.99                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 3.0}   28.21±0.45            39.00±3.66                 43.13±33.30                               0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 3.0}     5.04±0.51             15.62±2.27                 16.44±11.05                               0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 4.0}   19.23±0.61            30.98±3.79                 30.07±15.39                               0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 4.0}     9.58±16.63            26.62±18.44                36.56±80.43                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 5.0}   17.38±0.39            33.66±4.49                 30.65±17.47                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 5.0}     13.41±17.65           57.93±101.84               53.31±67.95                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 6.0}   13.90±0.73            33.00±4.41                 42.53±36.07                               1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 6.0}     8.85±2.94             37.96±13.90                34.38±16.41                               1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 7.0}   13.40±0.59            34.60±3.20                 37.89±25.67                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 7.0}     9.71±3.69             43.04±14.11                43.54±34.93                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 8.0}   12.89±0.62            36.58±5.25                 34.99±21.05                               1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 8.0}     24.73±73.50           72.42±118.04               179.53±711.71                             1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 9.0}   12.99±0.57            37.96±5.90                 40.43±28.03                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 9.0}     15.68±23.07           84.08±189.67               62.92±73.43                               2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-02', 'depth': 10.0}  13.41±1.30            39.47±6.70                 40.86±31.46                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-02', 'depth': 10.0}    12.18±7.57            55.18±30.96                59.04±50.04                               2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 0.0}   42.36±0.73            42.30±0.79                 42.94±5.73                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 0.0}     11.41±0.28            13.07±0.48                 13.02±2.17                                0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 1.0}   38.57±0.59            40.18±0.70                 37.62±5.77                                0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 1.0}     10.54±0.24            13.63±0.72                 13.11±3.68                                0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 2.0}   34.92±0.70            37.48±0.95                 37.17±5.32                                0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 2.0}     5.81±0.21             10.23±0.63                 10.67±5.20                                0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 3.0}   28.16±0.45            32.09±1.01                 31.87±6.91                                0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 3.0}     5.58±0.20             11.33±0.81                 11.48±4.04                                0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 4.0}   19.89±0.61            25.86±1.06                 26.17±5.23                                0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 4.0}     5.72±0.33             12.59±0.81                 12.08±3.91                                0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 5.0}   17.64±0.36            25.83±1.23                 23.73±3.96                                1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 5.0}     6.36±0.42             15.42±1.17                 16.03±6.09                                1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 6.0}   14.55±0.47            24.51±1.10                 26.86±9.65                                1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 6.0}     6.65±0.46             16.68±1.44                 15.98±4.24                                1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 7.0}   13.94±0.51            24.76±1.17                 25.57±6.80                                1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 7.0}     6.82±0.40             17.59±1.24                 17.77±6.39                                1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 8.0}   13.38±0.39            25.55±1.12                 24.52±4.57                                1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 8.0}     7.01±0.54             18.32±1.40                 19.52±6.57                                1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 9.0}   13.51±0.49            25.87±1.82                 25.24±6.73                                2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 9.0}     7.18±0.57             18.82±1.30                 18.21±9.61                                2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e-01', 'depth': 10.0}  13.62±0.48            26.63±1.58                 28.22±8.70                                2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e-01', 'depth': 10.0}    7.22±0.92             18.88±1.53                 19.04±9.02                                2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 0.0}   42.36±0.73            42.29±0.79                 42.94±5.70                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 0.0}     11.80±0.26            13.03±0.35                 13.04±2.20                                0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 1.0}   38.61±0.60            39.79±0.64                 37.41±5.73                                0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 1.0}     11.10±0.21            13.10±0.40                 12.57±2.12                                0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 2.0}   35.18±0.70            37.10±0.88                 36.59±5.35                                0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 2.0}     8.57±0.19             11.80±0.33                 11.96±3.26                                0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 3.0}   28.77±0.46            31.41±0.73                 30.32±4.72                                0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 3.0}     8.35±0.19             12.62±0.47                 12.66±3.11                                0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 4.0}   21.78±0.61            26.06±0.78                 26.69±5.23                                0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 4.0}     8.39±0.20             13.53±0.43                 12.72±2.92                                0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 5.0}   19.46±0.31            25.32±0.66                 23.66±3.59                                1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 5.0}     8.78±0.15             15.01±0.53                 15.24±5.51                                1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 6.0}   17.17±0.36            24.15±0.74                 24.94±5.78                                1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 6.0}     9.03±0.24             15.85±0.58                 15.93±4.64                                1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 7.0}   16.50±0.39            24.14±0.75                 24.39±5.05                                1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 7.0}     9.16±0.26             16.40±0.58                 16.38±4.80                                1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 8.0}   16.15±0.37            24.76±0.92                 24.29±4.70                                1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 8.0}     9.36±0.35             16.73±0.69                 17.81±5.16                                1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 9.0}   16.25±0.41            24.79±1.01                 22.91±4.70                                2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 9.0}     9.49±0.31             17.09±0.54                 16.14±4.40                                2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e-01', 'depth': 10.0}  16.27±0.39            25.27±0.77                 26.39±5.01                                2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e-01', 'depth': 10.0}    9.52±0.38             17.19±0.64                 15.96±4.67                                2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 0.0}   42.35±0.73            42.29±0.78                 42.95±5.61                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 0.0}     13.78±0.22            14.80±0.31                 14.89±2.27                                0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 1.0}   38.91±0.60            39.69±0.62                 37.53±5.72                                0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 1.0}     13.79±0.18            15.40±0.32                 14.60±2.58                                0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 2.0}   35.94±0.67            37.31±0.81                 36.81±5.14                                0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 2.0}     13.71±0.16            16.26±0.25                 16.25±3.45                                0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 3.0}   30.52±0.48            32.62±0.64                 31.72±4.97                                0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 3.0}     13.68±0.20            16.98±0.39                 17.23±3.67                                0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 4.0}   25.54±0.58            28.86±0.73                 29.80±5.67                                0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 4.0}     14.05±0.16            18.02±0.34                 16.97±3.57                                0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 5.0}   23.90±0.31            28.28±0.56                 27.39±4.48                                1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 5.0}     14.63±0.25            19.30±0.49                 19.30±6.16                                1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 6.0}   22.61±0.37            27.51±0.64                 28.45±5.94                                1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 6.0}     15.08±0.19            20.14±0.46                 20.24±5.54                                1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 7.0}   22.34±0.29            27.80±0.73                 27.75±5.55                                1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 7.0}     15.40±0.21            20.79±0.48                 20.65±5.54                                1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 8.0}   22.35±0.42            28.54±0.73                 28.84±5.50                                1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 8.0}     15.69±0.28            21.18±0.67                 22.28±5.98                                1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 9.0}   22.59±0.36            28.68±0.69                 26.52±5.30                                2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 9.0}     15.89±0.20            21.59±0.48                 20.35±4.65                                2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+00', 'depth': 10.0}  22.56±0.31            28.98±0.65                 30.12±5.97                                2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+00', 'depth': 10.0}    15.97±0.24            21.70±0.66                 20.10±4.70                                2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 0.0}   42.51±0.71            42.44±0.75                 43.16±5.40                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 0.0}     35.85±28.67           36.61±28.91                37.23±29.27                               0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 1.0}   39.86±0.61            40.33±0.64                 38.49±5.74                                0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 1.0}     25.55±21.56           27.44±25.24                25.19±18.77                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 2.0}   37.74±0.64            38.62±0.76                 38.03±4.53                                0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 2.0}     23.76±7.38            25.83±8.54                 25.68±8.83                                0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 3.0}   34.28±0.51            35.71±0.62                 35.23±5.36                                0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 3.0}     23.45±0.97            25.80±0.95                 26.44±5.07                                0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 4.0}   31.87±0.53            34.04±0.74                 35.54±6.87                                0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 4.0}     24.70±1.82            27.49±2.21                 26.09±5.54                                0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 5.0}   31.59±0.43            34.27±0.57                 34.81±5.23                                1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 5.0}     29.47±13.88           32.35±12.91                31.69±15.21                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 6.0}   31.66±0.44            34.59±0.64                 35.66±7.10                                1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 6.0}     31.06±19.05           34.82±21.67                33.98±20.28                               1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 7.0}   32.31±0.38            35.64±0.71                 34.88±6.66                                1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 7.0}     29.36±7.33            32.70±6.81                 32.21±9.70                                1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 8.0}   32.83±0.42            36.55±0.55                 37.40±6.93                                1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 8.0}     38.22±38.52           40.44±32.20                43.32±44.36                               1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 9.0}   33.39±0.34            37.02±0.51                 35.23±6.39                                2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 9.0}     34.75±17.11           38.26±16.78                36.43±16.55                               2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+00', 'depth': 10.0}  33.35±0.34            37.27±0.58                 38.83±7.28                                2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+00', 'depth': 10.0}    50.55±53.97           54.60±56.70                55.18±66.28                               2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 0.0}   76.35±74.48           75.55±73.76                76.03±72.42                               0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 0.0}     31.08±0.31            31.37±0.36                 31.66±5.60                                0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 1.0}   73.04±59.35           73.80±60.84                71.72±59.53                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 1.0}     33.09±0.34            33.62±0.35                 33.13±6.09                                0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 2.0}   103.91±277.36         97.82±243.23               104.49±283.44                             0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 2.0}     36.12±0.35            36.95±0.52                 38.07±6.53                                0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 3.0}   149.56±435.93         150.65±444.17              149.70±432.27                             0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 3.0}     38.56±0.46            39.75±0.59                 40.84±7.55                                0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 4.0}   59.24±53.79           58.94±48.43                59.96±54.14                               0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 4.0}     41.20±0.48            42.53±0.58                 40.77±7.40                                0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 5.0}   45.92±2.00            46.92±1.68                 47.95±5.94                                1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 5.0}     43.25±0.62            44.78±0.77                 44.05±8.67                                1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 6.0}   47.29±0.58            48.63±0.68                 49.77±9.22                                1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 6.0}     44.63±0.61            46.29±0.70                 45.32±9.48                                1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 7.0}   49.02±0.64            50.46±0.76                 49.12±8.29                                1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 7.0}     45.69±0.53            47.49±0.67                 46.37±8.82                                1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 8.0}   49.94±0.55            51.59±0.59                 52.22±9.56                                1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 8.0}     46.31±0.45            48.03±0.61                 48.96±9.69                                1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 9.0}   50.75±0.44            52.26±0.54                 51.60±8.16                                2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 9.0}     46.84±0.47            48.65±0.57                 47.29±8.42                                2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+01', 'depth': 10.0}  50.71±0.64            52.54±0.69                 54.61±9.20                                2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+01', 'depth': 10.0}    46.84±0.54            48.72±0.68                 46.59±8.52                                2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 0.0}   55.08±0.53            54.88±0.55                 55.28±6.91                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 0.0}     50.34±0.40            50.18±0.42                 50.35±8.72                                0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 1.0}   56.03±0.51            55.89±0.50                 55.37±6.70                                0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 1.0}     54.10±0.46            54.07±0.52                 54.03±8.16                                0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 2.0}   58.38±0.38            58.44±0.43                 56.10±6.08                                0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 2.0}     58.93±0.45            59.07±0.62                 60.90±8.52                                0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 3.0}   62.07±0.60            62.12±0.69                 63.08±8.16                                0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 3.0}     63.56±0.52            63.96±0.60                 65.35±9.63                                0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 4.0}   66.00±0.75            66.27±0.83                 67.98±11.07                               0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 4.0}     67.83±0.56            68.34±0.67                 66.68±9.42                                0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 5.0}   69.92±0.60            70.33±0.66                 72.12±7.52                                1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 5.0}     70.80±0.68            71.41±0.83                 70.46±9.99                                1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 6.0}   73.03±0.82            73.57±0.87                 75.34±11.95                               1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 6.0}     72.70±0.72            73.37±0.75                 72.05±11.11                               1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 7.0}   75.24±0.67            75.77±0.68                 73.99±9.76                                1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 7.0}     73.87±0.62            74.64±0.75                 72.98±9.45                                1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 8.0}   76.22±0.73            76.82±0.78                 77.37±11.33                               1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 8.0}     74.42±0.74            75.07±0.78                 76.19±11.49                               1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 9.0}   76.84±0.60            77.45±0.71                 77.09±9.84                                2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 9.0}     74.89±0.59            75.56±0.72                 74.39±10.06                               2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+01', 'depth': 10.0}  76.70±0.78            77.49±0.76                 80.65±9.97                                2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+01', 'depth': 10.0}    75.01±0.68            75.77±0.75                 73.38±10.53                               2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 0.0}   81.92±0.57            81.61±0.58                 81.28±9.79                                0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 0.0}     80.91±0.64            80.57±0.62                 80.41±10.38                               0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 1.0}   84.66±0.58            84.38±0.58                 84.26±7.81                                0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 1.0}     86.11±0.64            85.86±0.69                 86.01±9.12                                0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 2.0}   88.57±0.45            88.42±0.48                 85.09±8.50                                0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 2.0}     91.65±0.64            91.52±0.74                 93.01±9.40                                0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 3.0}   93.16±0.68            92.95±0.72                 94.42±9.27                                0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 3.0}     96.55±0.81            96.53±0.83                 98.09±10.42                               0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 4.0}   97.80±1.00            97.77±1.03                 99.33±11.49                               0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 4.0}     100.72±0.81           100.77±0.87                99.36±10.00                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 5.0}   101.68±0.73           101.71±0.81                103.36±8.24                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 5.0}     103.31±0.87           103.43±0.96                102.52±10.09                              1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 6.0}   104.32±1.12           104.38±1.13                106.61±12.28                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 6.0}     104.93±0.97           105.05±0.98                103.74±11.03                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 7.0}   106.22±0.87           106.27±0.86                104.24±9.82                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 7.0}     105.84±0.80           106.02±0.88                104.04±9.05                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 8.0}   106.77±1.01           106.82±1.02                107.61±11.37                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 8.0}     106.05±1.04           106.15±1.04                107.38±11.62                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 9.0}   107.16±0.90           107.27±1.00                106.95±10.09                              2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 9.0}     106.43±0.87           106.50±0.94                105.51±10.38                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+02', 'depth': 10.0}  106.91±0.93           107.13±0.88                110.60±9.38                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+02', 'depth': 10.0}    106.58±0.94           106.73±1.01                104.38±11.09                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 0.0}   112.17±0.96           111.82±0.94                111.10±10.96                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 0.0}     112.18±0.92           111.81±0.90                111.41±10.67                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 1.0}   114.31±0.75           113.99±0.77                113.98±7.98                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 1.0}     115.82±0.86           115.48±0.86                115.67±9.34                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 2.0}   117.18±0.79           116.95±0.77                113.20±9.18                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 2.0}     119.30±0.88           119.03±0.94                120.04±9.60                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 3.0}   119.79±0.91           119.45±0.92                121.01±9.91                               0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 3.0}     122.10±1.06           121.83±1.09                123.50±10.66                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 4.0}   122.57±1.17           122.38±1.20                123.72±11.23                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 4.0}     124.53±1.01           124.32±1.04                123.02±9.97                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 5.0}   124.74±0.87           124.52±0.94                126.00±8.40                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 5.0}     125.86±1.01           125.70±1.06                124.80±9.90                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 6.0}   126.04±1.29           125.83±1.28                128.12±12.03                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 6.0}     126.70±1.11           126.51±1.11                125.29±10.65                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 7.0}   127.23±0.99           127.02±1.00                124.97±9.57                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 7.0}     127.20±0.91           127.06±0.98                124.92±8.74                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 8.0}   127.30±1.17           127.07±1.16                128.07±11.10                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 8.0}     127.08±1.19           126.90±1.18                128.10±11.33                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 9.0}   127.56±1.04           127.38±1.12                126.97±9.85                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 9.0}     127.38±1.05           127.14±1.10                126.22±10.26                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+02', 'depth': 10.0}  127.22±0.98           127.13±0.93                130.65±8.76                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+02', 'depth': 10.0}    127.52±1.12           127.36±1.16                125.04±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 0.0}   130.22±1.18           129.85±1.17                129.01±11.19                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 0.0}     130.31±1.10           129.91±1.07                129.41±10.66                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 1.0}   131.15±0.84           130.80±0.87                130.84±7.89                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 1.0}     131.86±1.00           131.48±0.98                131.68±9.38                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 2.0}   132.62±0.95           132.34±0.92                128.47±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 2.0}     133.30±1.02           132.96±1.07                133.71±9.63                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 3.0}   133.38±1.07           132.98±1.07                134.52±10.19                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 3.0}     134.35±1.19           133.97±1.23                135.68±10.75                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 4.0}   134.52±1.24           134.25±1.27                135.47±11.03                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 4.0}     135.49±1.10           135.16±1.12                133.90±9.91                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 5.0}   135.38±0.95           135.05±1.00                136.44±8.44                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 5.0}     135.97±1.07           135.69±1.12                134.78±9.79                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 6.0}   135.80±1.35           135.48±1.34                137.74±11.89                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 6.0}     136.31±1.16           135.99±1.16                134.81±10.46                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 7.0}   136.55±1.03           136.21±1.06                134.19±9.43                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 7.0}     136.57±0.97           136.30±1.03                134.08±8.62                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 8.0}   136.36±1.23           136.01±1.22                137.09±10.95                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 8.0}     136.29±1.25           135.98±1.23                137.15±11.16                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 9.0}   136.56±1.09           136.25±1.15                135.78±9.70                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 9.0}     136.54±1.13           136.17±1.17                135.27±10.18                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+03', 'depth': 10.0}  136.17±0.98           135.94±0.95                139.48±8.48                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+03', 'depth': 10.0}    136.68±1.19           136.38±1.23                134.07±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 0.0}   137.59±1.27           137.21±1.26                136.34±11.23                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 0.0}     137.62±1.17           137.21±1.14                136.67±10.64                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 1.0}   137.88±0.87           137.51±0.90                137.58±7.83                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 1.0}     138.13±1.06           137.73±1.03                137.92±9.38                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 2.0}   138.65±1.01           138.35±0.98                134.45±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 2.0}     138.59±1.07           138.23±1.12                138.89±9.64                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 3.0}   138.55±1.14           138.13±1.14                139.65±10.28                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 3.0}     138.87±1.24           138.45±1.28                140.18±10.77                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 4.0}   138.96±1.26           138.65±1.29                139.83±10.95                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 4.0}     139.47±1.13           139.10±1.15                137.84±9.89                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 5.0}   139.26±0.98           138.88±1.03                140.24±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 5.0}     139.61±1.10           139.28±1.14                138.37±9.75                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 6.0}   139.32±1.38           138.95±1.36                141.19±11.84                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 6.0}     139.73±1.18           139.37±1.17                138.21±10.39                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 7.0}   139.88±1.05           139.50±1.08                137.49±9.37                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 7.0}     139.90±0.99           139.59±1.05                137.35±8.58                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 8.0}   139.59±1.25           139.20±1.24                140.32±10.90                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 8.0}     139.57±1.26           139.21±1.25                140.37±11.10                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 9.0}   139.78±1.10           139.42±1.16                138.93±9.64                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 9.0}     139.80±1.15           139.38±1.20                138.48±10.15                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+03', 'depth': 10.0}  139.37±0.99           139.08±0.95                142.63±8.38                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+03', 'depth': 10.0}    139.93±1.22           139.59±1.25                137.28±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 0.0}   140.14±1.30           139.76±1.29                138.87±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 0.0}     140.13±1.19           139.72±1.17                139.17±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 1.0}   140.18±0.89           139.82±0.91                139.89±7.81                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 1.0}     140.25±1.08           139.85±1.05                140.05±9.38                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 2.0}   140.70±1.02           140.39±0.99                136.48±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 2.0}     140.37±1.09           140.00±1.14                140.63±9.64                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 3.0}   140.30±1.16           139.86±1.16                141.38±10.32                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 3.0}     140.38±1.26           139.95±1.30                141.69±10.78                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 4.0}   140.45±1.27           140.12±1.30                141.28±10.92                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 4.0}     140.79±1.14           140.41±1.16                139.15±9.88                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 5.0}   140.55±0.99           140.15±1.04                141.50±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 5.0}     140.81±1.11           140.47±1.15                139.55±9.74                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 6.0}   140.48±1.38           140.10±1.37                142.33±11.82                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 6.0}     140.86±1.19           140.49±1.18                139.33±10.36                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 7.0}   140.98±1.05           140.58±1.08                138.57±9.36                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 7.0}     141.00±0.99           140.67±1.06                138.42±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 8.0}   140.66±1.25           140.25±1.24                141.38±10.88                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 8.0}     140.64±1.27           140.27±1.26                141.43±11.08                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 9.0}   140.84±1.11           140.46±1.16                139.97±9.62                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 9.0}     140.87±1.16           140.43±1.21                139.54±10.14                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+04', 'depth': 10.0}  140.42±0.99           140.12±0.95                143.66±8.35                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+04', 'depth': 10.0}    141.00±1.23           140.64±1.26                138.33±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 0.0}   140.97±1.30           140.59±1.30                139.70±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 0.0}     140.95±1.20           140.54±1.18                139.98±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 1.0}   140.93±0.89           140.56±0.92                140.64±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 1.0}     140.94±1.08           140.53±1.05                140.73±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 2.0}   141.37±1.03           141.05±1.00                137.14±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 2.0}     140.95±1.09           140.57±1.14                141.19±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 3.0}   140.86±1.17           140.42±1.17                141.94±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 3.0}     140.87±1.27           140.43±1.30                142.17±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 4.0}   140.92±1.27           140.60±1.30                141.75±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 4.0}     141.21±1.14           140.82±1.16                139.57±9.88                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 5.0}   140.96±0.99           140.56±1.04                141.90±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 5.0}     141.19±1.11           140.85±1.15                139.93±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 6.0}   140.86±1.39           140.47±1.37                142.70±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 6.0}     141.23±1.19           140.85±1.18                139.69±10.36                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 7.0}   141.33±1.06           140.93±1.09                138.92±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 7.0}     141.35±0.99           141.01±1.06                138.77±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 8.0}   141.00±1.25           140.58±1.24                141.72±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 8.0}     140.99±1.27           140.61±1.26                141.77±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 9.0}   141.17±1.11           140.79±1.16                140.30±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 9.0}     141.21±1.16           140.77±1.21                139.88±10.14                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+04', 'depth': 10.0}  140.75±0.99           140.45±0.95                143.99±8.34                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+04', 'depth': 10.0}    141.34±1.24           140.98±1.26                138.67±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 0.0}   141.24±1.31           140.85±1.30                139.96±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 0.0}     141.21±1.20           140.80±1.18                140.24±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 1.0}   141.17±0.89           140.80±0.92                140.88±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 1.0}     141.16±1.09           140.75±1.05                140.95±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 2.0}   141.58±1.03           141.26±1.00                137.35±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 2.0}     141.13±1.10           140.75±1.14                141.37±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 3.0}   141.04±1.17           140.60±1.17                142.12±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 3.0}     141.02±1.27           140.58±1.31                142.32±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 4.0}   141.07±1.27           140.75±1.30                141.90±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 4.0}     141.35±1.14           140.96±1.16                139.70±9.88                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 5.0}   141.09±0.99           140.69±1.04                142.03±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 5.0}     141.31±1.11           140.97±1.15                140.05±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 6.0}   140.97±1.39           140.58±1.37                142.82±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 6.0}     141.34±1.19           140.96±1.18                139.80±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 7.0}   141.44±1.06           141.04±1.09                139.03±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 7.0}     141.46±1.00           141.12±1.06                138.87±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 8.0}   141.10±1.26           140.69±1.25                141.83±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 8.0}     141.10±1.27           140.72±1.26                141.88±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 9.0}   141.28±1.11           140.90±1.17                140.40±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 9.0}     141.32±1.17           140.88±1.21                139.99±10.14                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+05', 'depth': 10.0}  140.86±0.99           140.56±0.95                144.10±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+05', 'depth': 10.0}    141.45±1.24           141.09±1.27                138.78±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 0.0}   141.32±1.31           140.94±1.30                140.05±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 0.0}     141.29±1.20           140.88±1.18                140.32±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 1.0}   141.25±0.89           140.88±0.92                140.95±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 1.0}     141.23±1.09           140.82±1.05                141.02±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 2.0}   141.65±1.03           141.33±1.00                137.42±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 2.0}     141.19±1.10           140.81±1.15                141.42±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 3.0}   141.10±1.17           140.66±1.17                142.18±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 3.0}     141.07±1.27           140.63±1.31                142.37±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 4.0}   141.12±1.27           140.79±1.30                141.95±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 4.0}     141.39±1.14           141.00±1.16                139.75±9.88                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 5.0}   141.13±0.99           140.73±1.04                142.07±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 5.0}     141.35±1.11           141.01±1.15                140.09±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 6.0}   141.01±1.39           140.62±1.37                142.85±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 6.0}     141.38±1.19           140.99±1.18                139.84±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 7.0}   141.47±1.06           141.07±1.09                139.07±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 7.0}     141.50±1.00           141.16±1.06                138.91±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 8.0}   141.14±1.26           140.72±1.25                141.86±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 8.0}     141.13±1.27           140.76±1.26                141.91±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 9.0}   141.32±1.11           140.93±1.17                140.44±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 9.0}     141.36±1.17           140.91±1.21                140.02±10.13                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+05', 'depth': 10.0}  140.90±0.99           140.59±0.95                144.13±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+05', 'depth': 10.0}    141.49±1.24           141.12±1.27                138.81±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 0.0}   141.35±1.31           140.96±1.31                140.07±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 0.0}     141.32±1.20           140.91±1.18                140.35±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 1.0}   141.27±0.89           140.90±0.92                140.98±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 1.0}     141.25±1.09           140.84±1.05                141.04±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 2.0}   141.67±1.03           141.35±1.00                137.44±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 2.0}     141.21±1.10           140.83±1.15                141.44±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 3.0}   141.11±1.17           140.68±1.17                142.19±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 3.0}     141.09±1.27           140.65±1.31                142.39±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 4.0}   141.14±1.27           140.81±1.30                141.96±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 4.0}     141.40±1.14           141.01±1.16                139.76±9.88                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 5.0}   141.14±0.99           140.75±1.04                142.08±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 5.0}     141.36±1.11           141.02±1.15                140.10±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 6.0}   141.02±1.39           140.63±1.37                142.86±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 6.0}     141.39±1.19           141.01±1.18                139.85±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 7.0}   141.49±1.06           141.08±1.09                139.08±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 7.0}     141.51±1.00           141.17±1.06                138.92±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 8.0}   141.15±1.26           140.73±1.25                141.87±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 8.0}     141.14±1.27           140.77±1.26                141.92±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 9.0}   141.33±1.11           140.94±1.17                140.45±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 9.0}     141.37±1.17           140.92±1.21                140.03±10.13                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+06', 'depth': 10.0}  140.91±0.99           140.60±0.95                144.14±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+06', 'depth': 10.0}    141.50±1.24           141.13±1.27                138.82±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 0.0}   141.35±1.31           140.97±1.31                140.08±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 0.0}     141.33±1.20           140.91±1.18                140.36±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 1.0}   141.28±0.89           140.91±0.92                140.98±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 1.0}     141.26±1.09           140.85±1.06                141.05±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 2.0}   141.67±1.03           141.36±1.00                137.44±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 2.0}     141.21±1.10           140.83±1.15                141.45±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 3.0}   141.12±1.17           140.68±1.17                142.20±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 3.0}     141.09±1.27           140.65±1.31                142.39±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 4.0}   141.14±1.27           140.81±1.31                141.97±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 4.0}     141.41±1.14           141.02±1.16                139.76±9.87                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 5.0}   141.15±0.99           140.75±1.04                142.09±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 5.0}     141.37±1.11           141.02±1.15                140.11±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 6.0}   141.03±1.39           140.64±1.37                142.87±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 6.0}     141.39±1.19           141.01±1.18                139.86±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 7.0}   141.49±1.06           141.09±1.09                139.08±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 7.0}     141.51±1.00           141.17±1.06                138.92±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 8.0}   141.15±1.26           140.74±1.25                141.87±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 8.0}     141.15±1.27           140.77±1.26                141.92±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 9.0}   141.33±1.11           140.95±1.17                140.45±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 9.0}     141.37±1.17           140.92±1.21                140.04±10.13                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+06', 'depth': 10.0}  140.91±0.99           140.60±0.95                144.15±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+06', 'depth': 10.0}    141.50±1.24           141.13±1.27                138.83±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 0.0}   141.36±1.31           140.97±1.31                140.08±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 0.0}     141.33±1.20           140.92±1.18                140.36±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 1.0}   141.28±0.89           140.91±0.92                140.99±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 1.0}     141.26±1.09           140.85±1.06                141.05±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 2.0}   141.68±1.03           141.36±1.00                137.45±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 2.0}     141.22±1.10           140.83±1.15                141.45±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 3.0}   141.12±1.17           140.68±1.17                142.20±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 3.0}     141.09±1.27           140.65±1.31                142.39±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 4.0}   141.14±1.27           140.81±1.31                141.97±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 4.0}     141.41±1.14           141.02±1.16                139.76±9.87                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 5.0}   141.15±0.99           140.75±1.04                142.09±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 5.0}     141.37±1.11           141.02±1.15                140.11±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 6.0}   141.03±1.39           140.64±1.37                142.87±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 6.0}     141.39±1.19           141.01±1.18                139.86±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 7.0}   141.49±1.06           141.09±1.09                139.08±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 7.0}     141.51±1.00           141.18±1.06                138.92±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 8.0}   141.15±1.26           140.74±1.25                141.88±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 8.0}     141.15±1.27           140.77±1.26                141.93±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 9.0}   141.33±1.11           140.95±1.17                140.45±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 9.0}     141.37±1.17           140.93±1.21                140.04±10.13                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+07', 'depth': 10.0}  140.91±0.99           140.60±0.95                144.15±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+07', 'depth': 10.0}    141.50±1.24           141.14±1.27                138.83±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 0.0}   141.36±1.31           140.97±1.31                140.08±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 0.0}     141.33±1.20           140.92±1.18                140.36±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 1.0}   141.28±0.89           140.91±0.92                140.99±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 1.0}     141.26±1.09           140.85±1.06                141.05±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 2.0}   141.68±1.03           141.36±1.00                137.45±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 2.0}     141.22±1.10           140.83±1.15                141.45±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 3.0}   141.12±1.17           140.68±1.17                142.20±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 3.0}     141.09±1.27           140.65±1.31                142.39±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 4.0}   141.14±1.27           140.82±1.31                141.97±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 4.0}     141.41±1.14           141.02±1.16                139.76±9.87                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 5.0}   141.15±0.99           140.75±1.04                142.09±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 5.0}     141.37±1.11           141.02±1.15                140.11±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 6.0}   141.03±1.39           140.64±1.37                142.87±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 6.0}     141.39±1.19           141.01±1.18                139.86±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 7.0}   141.49±1.06           141.09±1.09                139.08±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 7.0}     141.52±1.00           141.18±1.06                138.92±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 8.0}   141.15±1.26           140.74±1.25                141.88±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 8.0}     141.15±1.27           140.77±1.26                141.93±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 9.0}   141.33±1.11           140.95±1.17                140.45±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 9.0}     141.37±1.17           140.93±1.21                140.04±10.13                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+07', 'depth': 10.0}  140.91±0.99           140.60±0.95                144.15±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+07', 'depth': 10.0}    141.50±1.24           141.14±1.27                138.83±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 0.0}   141.36±1.31           140.97±1.31                140.08±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 0.0}     141.33±1.20           140.92±1.18                140.36±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 1.0}   141.28±0.89           140.91±0.92                140.99±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 1.0}     141.26±1.09           140.85±1.06                141.05±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 2.0}   141.68±1.03           141.36±1.00                137.45±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 2.0}     141.22±1.10           140.83±1.15                141.45±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 3.0}   141.12±1.17           140.68±1.17                142.20±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 3.0}     141.09±1.27           140.65±1.31                142.39±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 4.0}   141.14±1.27           140.82±1.31                141.97±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 4.0}     141.41±1.14           141.02±1.16                139.76±9.87                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 5.0}   141.15±0.99           140.75±1.04                142.09±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 5.0}     141.37±1.11           141.02±1.15                140.11±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 6.0}   141.03±1.39           140.64±1.37                142.87±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 6.0}     141.39±1.19           141.01±1.18                139.86±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 7.0}   141.49±1.06           141.09±1.09                139.08±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 7.0}     141.52±1.00           141.18±1.06                138.92±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 8.0}   141.15±1.26           140.74±1.25                141.88±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 8.0}     141.15±1.27           140.77±1.26                141.93±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 9.0}   141.33±1.11           140.95±1.17                140.45±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 9.0}     141.37±1.17           140.93±1.21                140.04±10.13                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+08', 'depth': 10.0}  140.91±0.99           140.60±0.95                144.15±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+08', 'depth': 10.0}    141.50±1.24           141.14±1.27                138.83±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 0.0}   141.36±1.31           140.97±1.31                140.08±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 0.0}     141.33±1.20           140.92±1.18                140.36±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 1.0}   141.28±0.89           140.91±0.92                140.99±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 1.0}     141.26±1.09           140.85±1.06                141.05±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 2.0}   141.68±1.03           141.36±1.00                137.45±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 2.0}     141.22±1.10           140.83±1.15                141.45±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 3.0}   141.12±1.17           140.68±1.17                142.20±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 3.0}     141.09±1.27           140.65±1.31                142.39±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 4.0}   141.14±1.27           140.82±1.31                141.97±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 4.0}     141.41±1.14           141.02±1.16                139.76±9.87                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 5.0}   141.15±0.99           140.75±1.04                142.09±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 5.0}     141.37±1.11           141.02±1.15                140.11±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 6.0}   141.03±1.39           140.64±1.37                142.87±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 6.0}     141.39±1.19           141.01±1.18                139.86±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 7.0}   141.49±1.06           141.09±1.09                139.08±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 7.0}     141.52±1.00           141.18±1.06                138.92±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 8.0}   141.15±1.26           140.74±1.25                141.88±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 8.0}     141.15±1.27           140.77±1.26                141.93±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 9.0}   141.33±1.11           140.95±1.17                140.45±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 9.0}     141.37±1.17           140.93±1.21                140.04±10.13                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+08', 'depth': 10.0}  140.91±0.99           140.60±0.95                144.15±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+08', 'depth': 10.0}    141.50±1.24           141.14±1.27                138.83±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 0.0}   141.36±1.31           140.97±1.31                140.08±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 0.0}     141.33±1.20           140.92±1.18                140.36±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 1.0}   141.28±0.89           140.91±0.92                140.99±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 1.0}     141.26±1.09           140.85±1.06                141.05±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 2.0}   141.68±1.03           141.36±1.00                137.45±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 2.0}     141.22±1.10           140.83±1.15                141.45±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 3.0}   141.12±1.17           140.68±1.17                142.20±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 3.0}     141.09±1.27           140.65±1.31                142.39±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 4.0}   141.14±1.27           140.82±1.31                141.97±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 4.0}     141.41±1.14           141.02±1.16                139.76±9.87                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 5.0}   141.15±0.99           140.75±1.04                142.09±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 5.0}     141.37±1.11           141.02±1.15                140.11±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 6.0}   141.03±1.39           140.64±1.37                142.87±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 6.0}     141.39±1.19           141.01±1.18                139.86±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 7.0}   141.49±1.06           141.09±1.09                139.08±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 7.0}     141.52±1.00           141.18±1.06                138.93±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 8.0}   141.15±1.26           140.74±1.25                141.88±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 8.0}     141.15±1.27           140.77±1.26                141.93±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 9.0}   141.33±1.11           140.95±1.17                140.45±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 9.0}     141.37±1.17           140.93±1.21                140.04±10.13                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+09', 'depth': 10.0}  140.91±0.99           140.60±0.95                144.15±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+09', 'depth': 10.0}    141.50±1.24           141.14±1.27                138.83±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 0.0}   141.36±1.31           140.97±1.31                140.08±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 0.0}     141.33±1.20           140.92±1.18                140.36±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 1.0}   141.28±0.89           140.91±0.92                140.99±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 1.0}     141.26±1.09           140.85±1.06                141.05±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 2.0}   141.68±1.03           141.36±1.00                137.45±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 2.0}     141.22±1.10           140.83±1.15                141.45±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 3.0}   141.12±1.17           140.68±1.17                142.20±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 3.0}     141.09±1.27           140.65±1.31                142.39±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 4.0}   141.14±1.27           140.82±1.31                141.97±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 4.0}     141.41±1.14           141.02±1.16                139.76±9.87                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 5.0}   141.15±0.99           140.75±1.04                142.09±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 5.0}     141.37±1.11           141.02±1.15                140.11±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 6.0}   141.03±1.39           140.64±1.37                142.87±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 6.0}     141.39±1.19           141.01±1.18                139.86±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 7.0}   141.49±1.06           141.09±1.09                139.08±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 7.0}     141.52±1.00           141.18±1.06                138.93±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 8.0}   141.15±1.26           140.74±1.25                141.88±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 8.0}     141.15±1.27           140.77±1.26                141.93±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 9.0}   141.33±1.11           140.95±1.17                140.45±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 9.0}     141.37±1.17           140.93±1.21                140.04±10.13                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '3.16e+09', 'depth': 10.0}  140.91±0.99           140.60±0.95                144.15±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '3.16e+09', 'depth': 10.0}    141.50±1.24           141.14±1.27                138.83±11.15                              2.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 0.0}   141.36±1.31           140.97±1.31                140.08±11.24                              0.11\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 0.0}     141.33±1.20           140.92±1.18                140.36±10.63                              0.38\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 1.0}   141.28±0.89           140.91±0.92                140.99±7.80                               0.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 1.0}     141.26±1.09           140.85±1.06                141.05±9.39                               0.51\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 2.0}   141.68±1.03           141.36±1.00                137.45±9.27                               0.34\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 2.0}     141.22±1.10           140.83±1.15                141.45±9.65                               0.57\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 3.0}   141.12±1.17           140.68±1.17                142.20±10.33                              0.52\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 3.0}     141.09±1.27           140.65±1.31                142.39±10.79                              0.7\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 4.0}   141.14±1.27           140.82±1.31                141.97±10.91                              0.74\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 4.0}     141.41±1.14           141.02±1.16                139.76±9.87                               0.87\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 5.0}   141.15±0.99           140.75±1.04                142.09±8.46                               1.08\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 5.0}     141.37±1.11           141.02±1.15                140.11±9.73                               1.08\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 6.0}   141.03±1.39           140.64±1.37                142.87±11.81                              1.3\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 6.0}     141.39±1.19           141.01±1.18                139.86±10.35                              1.32\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 7.0}   141.49±1.06           141.09±1.09                139.08±9.35                               1.57\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 7.0}     141.52±1.00           141.18±1.06                138.93±8.56                               1.47\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 8.0}   141.15±1.26           140.74±1.25                141.88±10.87                              1.86\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 8.0}     141.15±1.27           140.77±1.26                141.93±11.07                              1.73\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 9.0}   141.33±1.11           140.95±1.17                140.45±9.61                               2.2\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 9.0}     141.37±1.17           140.93±1.21                140.04±10.13                              2.02\n",
      "{'k_func': 'tanimoto', 'alpha': '1.00e+10', 'depth': 10.0}  140.91±0.99           140.60±0.95                144.15±8.33                               2.4\n",
      "{'k_func': 'MinMax', 'alpha': '1.00e+10', 'depth': 10.0}    141.50±1.24           141.14±1.27                138.83±11.15                              2.32\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "calculate performance: 100%|██████████| 27060/27060 [24:52<00:00, 23.39it/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(-10, 10, num = 41, 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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