Corr_genes_function.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set(context=\"poster\", style='ticks')\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import six\n",
    "def render_mpl_table(data, col_width=3.0, row_height=0.625, font_size=14,\n",
    "                     header_color='#40466e', row_colors=['#f1f1f2', 'w'], edge_color='w',\n",
    "                     bbox=[0, 0, 1, 1], header_columns=0,\n",
    "                     ax=None, **kwargs):\n",
    "    if ax is None:\n",
    "        size = (np.array(data.shape[::-1]) + np.array([0, 1])) * np.array([col_width, row_height])\n",
    "        fig, ax = plt.subplots(figsize=size)\n",
    "        ax.axis('off')\n",
    "\n",
    "    mpl_table = ax.table(cellText=data.values, bbox=bbox, cellLoc='center', \n",
    "                         rowLabels = data.index, colLabels=data.columns, **kwargs)\n",
    "    \n",
    "    mpl_table.auto_set_font_size(False)\n",
    "    mpl_table.set_fontsize(font_size)\n",
    "\n",
    "    for k, cell in six.iteritems(mpl_table._cells):\n",
    "        cell.set_edgecolor(edge_color)\n",
    "        if k[0] == 0 or k[1] < header_columns:\n",
    "            cell.set_text_props(weight='bold', color='w')\n",
    "            cell.set_facecolor(header_color)\n",
    "        else:\n",
    "            cell.set_facecolor(row_colors[k[0]%len(row_colors) ])\n",
    "    return ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1899, 5)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene_symbol</th>\n",
       "      <th>BRCA</th>\n",
       "      <th>TN-BRCA</th>\n",
       "      <th>nonTN-BRCA</th>\n",
       "      <th>EndoR-BRCA</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AASS</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AATF</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ABCA2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ABCA2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ABCB5</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  gene_symbol BRCA TN-BRCA nonTN-BRCA EndoR-BRCA\n",
       "0        AASS  Yes     Yes        Yes         No\n",
       "1        AATF  Yes      No         No         No\n",
       "2       ABCA2  Yes     Yes        Yes         No\n",
       "3       ABCA2  Yes     Yes        Yes         No\n",
       "4       ABCB5  Yes      No         No         No"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_table(\"./datasets/correlated_gene_bigtable.tsv\", sep=\"\\t\", \n",
    "                   usecols = ['gene_symbol', 'BRCA', 'TN-BRCA', 'nonTN-BRCA', 'EndoR-BRCA'])\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Union 1295\n",
      "BRCA 922\n",
      "nonTN-BRCA 582\n",
      "TN-BRCA 472\n",
      "EndoR-BRCA 105\n"
     ]
    }
   ],
   "source": [
    "corr_genes = {'Union': set(df['gene_symbol']), \n",
    "              'BRCA': set(df.loc[df['BRCA']=='Yes', 'gene_symbol']), \n",
    "              'nonTN-BRCA': set(df.loc[df['nonTN-BRCA']=='Yes', 'gene_symbol']),\n",
    "              'TN-BRCA': set(df.loc[df['TN-BRCA']=='Yes', 'gene_symbol']),  \n",
    "              'EndoR-BRCA': set(df.loc[df['EndoR-BRCA']=='Yes', 'gene_symbol'])}\n",
    "\n",
    "for k, v in corr_genes.items():\n",
    "    print(\"{} {}\".format(k, len(v)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr_genes_labels = [k + \"\\n(n=\" + str(len(v)) + \")\" for k, v in corr_genes.items()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CancerMine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Driver 905\n",
      "Tumor suppressor 2128\n",
      "Oncogene 2716\n"
     ]
    }
   ],
   "source": [
    "cancermine = pd.read_table(\"/home/singuyen/epiCa/CancerMine/cancermine_collated_v13.tsv\", sep=\"\\t\", \n",
    "                           usecols=['role', 'gene_normalized'])\n",
    "\n",
    "databases = {'Driver': set(cancermine.loc[cancermine['role'] == 'Driver', 'gene_normalized']), \n",
    "             'Tumor suppressor': set(cancermine.loc[cancermine['role'] == 'Tumor_Suppressor', 'gene_normalized']), \n",
    "             'Oncogene': set(cancermine.loc[cancermine['role'] == 'Oncogene', 'gene_normalized'])}\n",
    "\n",
    "for k, v in databases.items():\n",
    "    print(\"{} {}\".format(k, len(v)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "databases_labels = [k.replace(\" \", \"\\n\") + \"\\n(n=\" + str(len(v)) + \")\" for k, v in databases.items()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "fraction = {}\n",
    "count = {}\n",
    "genename = {}\n",
    "\n",
    "import scipy.stats as stats\n",
    "pval = []\n",
    "M = 26674\n",
    "\n",
    "for d, g in databases.items():\n",
    "    fraction[d] = {}\n",
    "    count[d] = {}\n",
    "    genename[d] = {}\n",
    "\n",
    "    for group, genes in corr_genes.items():\n",
    "        t = len(genes) # Try set `t=len(g)`\n",
    "        c = len(genes & g)\n",
    "        f = c/t\n",
    "        p = stats.hypergeom.sf(c - 1, M, len(g), len(genes))\n",
    "        fraction[d][group] = f\n",
    "        count[d][group] = c\n",
    "        genename[d][group] = genes & g\n",
    "        pval.append(p)\n",
    "        \n",
    "import statsmodels.stats.multitest as smm\n",
    "adjusted = smm.multipletests(pval, alpha=0.025, method='fdr_bh')[1]\n",
    "\n",
    "pval_adjusted = {}\n",
    "i=0\n",
    "for d in databases.keys():\n",
    "    pval_adjusted[d] = {}\n",
    "    for group in corr_genes.keys():\n",
    "        pval_adjusted[d][group] = adjusted[i]\n",
    "        i=i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Driver</th>\n",
       "      <th>Tumor suppressor</th>\n",
       "      <th>Oncogene</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Union</th>\n",
       "      <td>130</td>\n",
       "      <td>285</td>\n",
       "      <td>329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCA</th>\n",
       "      <td>104</td>\n",
       "      <td>225</td>\n",
       "      <td>244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN-BRCA</th>\n",
       "      <td>54</td>\n",
       "      <td>91</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonTN-BRCA</th>\n",
       "      <td>69</td>\n",
       "      <td>124</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EndoR-BRCA</th>\n",
       "      <td>12</td>\n",
       "      <td>23</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Driver  Tumor suppressor  Oncogene\n",
       "Union          130               285       329\n",
       "BRCA           104               225       244\n",
       "TN-BRCA         54                91       118\n",
       "nonTN-BRCA      69               124       156\n",
       "EndoR-BRCA      12                23        30"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countdf = pd.DataFrame(count)\n",
    "countdf = countdf.reindex(['Union', 'BRCA', 'TN-BRCA', 'nonTN-BRCA', 'EndoR-BRCA'])\n",
    "countdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Driver</th>\n",
       "      <th>Tumor suppressor</th>\n",
       "      <th>Oncogene</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Union</th>\n",
       "      <td>0.100386</td>\n",
       "      <td>0.220077</td>\n",
       "      <td>0.254054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCA</th>\n",
       "      <td>0.112798</td>\n",
       "      <td>0.244035</td>\n",
       "      <td>0.264642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN-BRCA</th>\n",
       "      <td>0.114407</td>\n",
       "      <td>0.192797</td>\n",
       "      <td>0.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonTN-BRCA</th>\n",
       "      <td>0.118557</td>\n",
       "      <td>0.213058</td>\n",
       "      <td>0.268041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EndoR-BRCA</th>\n",
       "      <td>0.114286</td>\n",
       "      <td>0.219048</td>\n",
       "      <td>0.285714</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Driver  Tumor suppressor  Oncogene\n",
       "Union       0.100386          0.220077  0.254054\n",
       "BRCA        0.112798          0.244035  0.264642\n",
       "TN-BRCA     0.114407          0.192797  0.250000\n",
       "nonTN-BRCA  0.118557          0.213058  0.268041\n",
       "EndoR-BRCA  0.114286          0.219048  0.285714"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fracdf = pd.DataFrame(fraction)\n",
    "fracdf = fracdf.reindex(['Union', 'BRCA', 'TN-BRCA', 'nonTN-BRCA', 'EndoR-BRCA'])\n",
    "fracdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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OpV3NOrStUVsBqmRrf/yBtJykn06ZyJotm5n63EjuvWgwL3zxMfEZ/h688oyzef3We4guVIhHx74VNIgd/uFoFq76lzvOH0Treo46lasyef4cLhp+H41q1GJI3/7s3Bsqg6QcCQWokpdqk3nbVDlKihQtToNm7Zk99Qc2rFlOjbqNKVGqHEDaNICM9u72goPiIeaoigQUi4ll3JU30adJC3bs38e5b71wSHAK0LV+IwB+sgWZ6u+M288fq5ZzVtNWtKxWMy1AzcrGPbsAKBqjV6iSe38uns/yDetoUK0GdatUY9Hqf9OuPXr5UO4fdBUpKSnc/vpzvPDFRyHb+XLab2kLrdI79xTvn7vVm5VKPD8oQJW8tBLI/H9xaApmc2nmlAmsXDqfLr0uoFK12pmuFyoUDUCyv7q0kr96f4u/mj+jLRu9Ua5gbYkElC5SlB9vuIt2Neuwesc2+r7xDAs2rAtaDg6ubs4ocD7G3+nshs496FLP8db0SfyyZGGm8nXKVgAOZgkQyeipq2+iRsXKXPbUQ0G3HQ2MmkYXOhjujLztv1zdpx8HEuK5YsQjfDL5l6Btly9Vmua167Fmy2aWpXsjENCtZTsAZi5dlBePIhkoQJU8k9VCrWA+mrhMMx9zaf3qpcz7axIlS5fjjPOuOuRacnISK8xbDFC1preerVaDZkRHx7Ji8RwS4g+kvfIHiD8Qx4pFc4iJLUKt+k2P3kPIMSU6KorxQ++gXc06LNiwjt6vjWDdruAB4+JNG2hVvRZnNmnJJ3MOTa9cLCaWDrXrATDX/8e+bvkKXNjmZBKSkzIFqLGFojnfzy/54+J8SXIix4F+p5xGw+o1GfPzd0z4a9oh12pXqoKrXou9cfvTti99ZsitXN2nH7v27aXfQ3cGzYka0Ka+4/vhLzL2lwlc/vTDh1xrVrsepzRpzooN65i5RAFqflCifpFjSNtOvYmIiOCPX7/i3yX/pJ1PTEzg2w9fZevGtVSv7ahZrwkAMbGFadmhB3H79/Lth6+mjawmJycz/qPXOBC3j7ade2dK4i8S8OiZ59GxTn1W79hGt5eeDBmcArw5bRIA/3fuRTSqdDBfb5HoGEZefBWVS5ZmwsJ/WLbFeyX69vTJJCUnM6htR87zR6MACkVG8dKAS6ldrgLfLZyrJP4S0sgJXwLwwg3/oVr5imnnq5arwIf/fZzoQoV49ZtPiU9MoFe7Dtw+4BISk5I464H/ZBmcAkyeN4cde3Yz8NTTOblRs7TzlcqUZezdjxAZGcmjY98iVatM80XEifSNdc61wdv+s5+ZfZ9d+XzqQywwF1hrZqeHKFMGuBfoB9QCEv06r5nZ+0HKFwfuAgbizQPdgrd96ZNmlum9mXOuCzA5i26+b2aX+mVbAX8B55jZhCzq5JpGUEMb9ew9rFw6j6vueDrT6OZvEz5i4tdjiIiIoHqdRhQtVoJ1q5ayd/cOypSvzODbn6R02YN/Ue/ft4e3R9zJ1k1rKVO+MlVq1mPD6uXs2LqRKjXqceV/niK2cJGj/Yhh66Lu3uhz5K1XFHBPCl6ZosVY88hzFI2JZdaalSzatD5k2cvHvAHAmMuGMqjdKSQmJzFl+RL2JcTTvmYdKpcszZLNGzntxeFs8ueWAtx8ak+e638JkZGRzFi1gtU7tnFyrbrUKFOORRvX0/Wl4WzRIpQ0KS+8S2Svkwu6G2GjUFQUXzw0gr4nd2Jv3H5+XzCXQlFRnOyaUqJoMcb/OZXzHr2LxKQkpj3/Nh0aN2Ptls1M+mdWyDaHfziaxX6+3gtO7cHH9w0nMSmJX+fOIiEpka4t2lC8SFFe/fpTbnolrzeAPHal/PAnZJGqMrdOmADVOReDF+QtM7OzC6gPUcD7wIXAL8ECVOdcFWAqUAfYAMwESgMd8aZkvGxmN6crXxYv2GwK7AP+AKL88inARWb2dYZ73AK8AEzDS9qf0VQzey1d+deBc4HGZpZnk8EUoIaWVYAKsHT+TKb9/DnrVi0lKSmBMuUq07j1KXTqOYAiRYtnKr9/3x4mjf+AxXOms2/PTkqWqUDj1h05tfeFFC5S7Gg80jFDAepBvRo1Z8L1d+aobPrv12XtO3FNx9NoWa0msYUKsXLbVj6b+xdP//Iduw9kzrnbvWET7uzeh5Nr1aNIdDSrtm/j0zl/8b+fv2VfQnyePc/xQAFqZpGRkdxw1gAGn3EWjWvWJiU1lXn/Lmf0j98ycsKXpKamUiQ2lt1f/EpUVFS27XUbdv0h6abOOrkzd194Oa3rOeIS4pm/cjmvfP0Jn07JcWrzE4IC1MPknLsfeARoHmxU8SjcvwwwBujrnwoVoH4IXIQXyF5jZgf88y3wEv2XA3qb2Q/++THApcBsoL+ZrfbPNwW+B0oBzsw2pLvHKLx0UJ3NLPP2GJn7VAlYAYw1s6G5f/rgFKBKOFKAKuFMAaqEq7wOUE+IOajOufJ4r8DHH+3g1DkX4Zy7BG/0ti9eoBeqbAngPGAvcEMgOAUws3+Ax/yPF6UrfxGQDFwaCE798guAO4ESeM+eXmu80dWst9c42NYm4F3gaudcw5zUERERETlcJ8oq/uvxArW3Aiecc7XxXm9/BtwODAd6+eUWA6+YWbDyOdHNzCb5f66FNxoaDzyI91r95xD1KuLN99xiZruDXF/iH6v6x0Z4/w3NzIItI/zVP/bBe8bAVIcmwGIz25fD5wF4G+/7+B/gulzUExEREcmVEyVAHQzEAT8FuVYdmAFE483fLAV0AkY65wqbWWBj3r14gWZOpM/am4gX3D1uZiudc11DVTKz5UDnLNpt7x/X+sfACHioFQSB/dcaOOcKmVkS0AzvWVc65x4HBuAtrNqIF6w/bmY7MzZkZrOcc+uBQc65m81MG2OLiIhIvjjuA1TnXD2gLjDZzDLPzoeT8eZqXhwIzJxz1wAjgduAlwHMbCveXM9cMbN1wDWH1/uD/GkKt/kfP/OPS/Fe1TdxzpU1s4x7BgaC3UigLLAZ7/U+wJl4ifJ/wwt42wN3AGc75zqb2ZYg3ZiMN6WgI1lnARARERE5bCfCHNTAbkVzsyhzc4ZRw1HAfqCec65cvvUsh/zUVOOAMsBEM/sOwA9IvwWKAu8550qnq1MPeDZdM7H+MRCg/gbUMbO+ZtYTqA/8AjQEXg/RlcD3sOuRPpOIiIhIKCdCgFrTP64McX2HmS1Lf8LMkvFyiQIUaA4e51xR4CugG94zXJKhyA3AKrwFWMudc9855yYC84D1/hG8qQbgzUV1wNnpR0n9EeLL8VJV9ffTXWUUmINb4wgfS0RERCSk4/4VP1DBP+4KcT1UXs/A/M1IOKJFUofNOVcRLzjtgBecdvdX1Kcxs3XOufbAQ0B/oIffz8eAZ4DAHoG7/PKJHFxsdQgzW++cmw10AdoA4zMUCXwPKyIiIiKST06EADXaP4YaLc5pLs7DXSR1WPx0Tt/jJeyfj5f7dF2wsv5I6E3+V/o2Yvz6W0LMvw1mo38MtvdlIMPxifBzIyIiIgXkRAg0AguHKmRZKhuHu0jqcDjnWuNlHCiHt2XpuWYWdATYOdcWqBSYl5rBqXj/jWemK/8i3iv6oWa2OUidOv5xbZBr5f1jxsVYIiIiInnmRJiDGnidHWxOZdhxztUFfsQLTj8BeoUKTn0vA+Odc/WDXAvkK/0k3blOeNuWZtru1TnXDG8R1TYg2EbFgfyrQacIiIiIiOSFEyFAneYfOxZoL3LAOReBN42gPPAdXuqrhGyqfeUfn3bOBaYz4Jy7ES/H6TK8LVYD3vCPw51zjdKVr4CXvSAKeDrEfQPfw2lBromIiIjkieP+Fb+ZLXbOLQVaOedKhtihKVz0wlsQBd5+tu8654KVW2RmT/h/fhYYiLdAypxzf+OlimqGl4ngXD9Bf8BbQE/gfGCuc24K3sr9bni7aI3DW1x1CD947oS3qOz3I3hGERERkSydCCOo4O3kFAWcU9AdyUbXdH/uAwwK8dUzUMgf6ewBvIKX67QvUBjv1X9rM1uQ/gZmloIX0F4H/AOc4tdfBFwLXOSn2cqoG16y/7FmFn+EzykiIiISUkRqak4XsR+7nHMl8FIvLTKzLgXdn2ORc+5joB9Q38yCLaDKtY8mLjv+f/jkmHNRd286d+StVxRwT0QyS3nhXSJ7nVzQ3RDJJOWHP8F7+5snTogRVDPbg/faurNzrlVB9+dY45yrhrew6q28Ck5FREREQjkhAlTfs3j5REcUdEeOQcPx5rM+UNAdERERkePfCROg+vMmLwVOdc71Lej+HCv8nKyDgCvNLNSuWyIiIiJ55rhfxZ+emc3FW0gkOWRmf3OC/ZyIiIhIwTphRlBFRERE5NigAFVEREREwooCVBEREREJKwpQRURERCSsKEAVERERkbCiAFVEREREwooCVBEREREJKwpQRURERCSsKEAVERERkbCiAFVEREREwooCVBEREREJKxGpqakF3Qc5cemHT0RE5PgRkVcNaQRVRERERMJKoYLugJy4psxcU9BdEMmkS7saANQd8WkB90QksxXDzqfo4y8WdDdEMtl//y152p5GUEVEREQkrChAFREREZGwogBVRERERMKKAlQRERERCSsKUEVEREQkrChAFREREZGwogBVRERERMKKAlQRERERCSsKUEVEREQkrChAFREREZGwogBVRERERMKKAlQRERERCSsKUEVEREQkrChAFREREZGwogBVRERERMKKAlQRERERCSuFCroDxxvn3GBgVJBLKcAOYDEwFnjTzFLS1RsNXBGi2VRgP7AG+Bl43Mw2ZdGHWsCVwFlALaAksAGYDLxkZn/l4Dk+A87z+1zVzA5kV0dEREQkLyhAzT+bgZ/SfY4FygHtgNeA7s65C80sNUO9ecA/Gc4VAqr7dW8C+jvnTjKz9Rlv6py7EXjGv99qYDZwAGgKXAZc6py728xGhOq4c64cXnB7ACgDXACMyclDi4iIiBwpBaj5Z5GZXZrxpB/8TcEL+j4EvshQ5HMzezhYg865msB4oBnwCHBthuv3AsOBLcBQ4Mv0AbBzbiDwLvC0c267mb0dou+DgBjgYf9rKApQRURE5CjRHNSjzMy24Y1wAvTPZd3VwN3+x77prznnWuEFrXFANzP7IuPorJmNA4b4Hx93zsWGuNWVeNMKXgX+Bjo555rlpq8iIiIih0sBasFY5x9LHEbdVf6xbIbzNwPRwCtmtiCL+u8DvwETgWoZLzrnWgKtgL/MbAvefFk4GNiKiIiI5Cu94i8Ybf3jH4dR90z/OD9wwjkXBQzwP36UVWV/YVbXLIpc6R/f948fAE8Blznn7jGz/bntsIiIiEhuKEA9SvwgshxwDnAfsAJ4I4d1Y/FGO88HHvNPD09XpApQCkgE5hxBH6Px5p8m4AeoZrbROTcBOBsYCIw+3PZFREREckIBav45zTmXcYV+wEagh5ntDHLtIefcQ1m0ux0YZmafpztXxT9uM7Pkw+hrwNlAeeAzf65swDv+taEoQBUREZF8pgA1/2RMMxWJN8rZEm80dJpzrl+QnKTp00zFAKf45XcAt+AFj3EZ6iT5x+gj7HPg9f7oDOe/BTYBHZxzLc1s7hHeR0RERCQkBaj5J1SaqUi8lfjDgfHOubpmtjddkUPSTPmv3V8ErgOewEtRtYpDbfCPZZxzUYcziuqcqwT09j/e45y7M0ORwM/KEODG3LYvuTP1tx8Y9eYI7n7wORq45pmub9ywlq8/e5elNp99e3dToVJVTuvel66nn0NkZPZrH997+zkmTxzPlUOG0em0XvnxCHIciYyAQa3qMaBpLeqVK0lURASrd+3l28VreXOGkZCcckj5fo1rcHHLujSuWJqYqEg27NnPj0vX8+ofi9kdn3hI2SolijD1ukOSkhxi5tqtDPxwUn48lhwnIiMiGNK2OYNaNMaVL0NURCT/7tzFpwuW8Nz02cQnh/4nMToykilXX0iLShVo9NIoVu/ak+39XjqzG1e3ac6Qr39i7D+L8vJRJB0FqEeZv0jpSefcxUBzvDmpH2RRPtFPvt8Q6I4X1LbLsLPTJrzMANXwkvn/mVUf/Hyo5YHvzWyFf/oyDv48dMqi+qXOubvMbF9W95DDt3zpQj5BLN+HAAAgAElEQVR47+WQ19esWs7Tj91OXNx+6jdsSu26Dls4hw/efZnlyxZx7Q33Ztn+/LkzmDxxfF53W45TkRHwZv9OdK9Xhb0JiczZsI3E5FRaVy3Lfzo3pVvdygz6eDIHkrwg4LGerRnUqh7xScnM3bCdPfGJtKhSliEnOc5oUI2BH/zK1v3xae03qVgagEWbd2Jbd2W6/4rtezOdEwmIjIjgk4Fn0adBHfbEJzBj3UaSklNoX60yD3btSO/6degz9nPikpKC1n+wawdaVKqQ4/v1rFuLq9tkHjSQvKcAteAsxAtQa2RX0MxSnHNXAgvwdoR6Argj3fVU59zXwPV425NmGaDiLbRq6LfxrH9usH/sbGZTg1Vyzs0FWgAXAaGS/MsRmPXXFEa9PoL4AxlncXhSU1N5+/WniIvbz9XX30PHzqcDsGf3Tp558i7+nPoLbdp1ou1Jpwatv3fvbka9+UzQayLBXNiiDt3rVWHR5p1c9dnvbNrr/W5cpkgMb/bvRNtq5bi5Y2NGTJlPl9qVGNSqHhv27OfycVNYvt0bjSoSHcWzfU+iV4NqPNC9Jbd+OyOt/aaVvAD1zRnGV4vWHP0HlGPala2b0qdBHf7ZtIXzPvqa9Xu8sZNyRQrzycCz6VCjCvd0OYmHfp2WqW6H6lW4rUObHN+rTOFYXj+7R571XbKmPKgFp4F/zNHfyH6S/gf8j7f6+UrTewlvFf8tzrmGodpxzl2LF5zuBd7zz52EF/iuATL/X3xQYDepoTnps+Tc9m1bePu1//Ha84+QkppCyVJlgpZbOG8Wa1evwDVumRacApQoWZpBg28B4Jcfvgx5n/dHvci+vbupW69R3j6AHLcGNKsNwGMT56YFpwA74hJ44KfZAJzVyPs9+/xmtQB47vcFacEpQFxiMndPmElySipnNKhGTNTBf3oCI6jzNgVbMyqStUtbNAbgrh+npAWnANviDnDrhF8BuKBpg0z1ikYXYuQ5PVm5czfrd+dslP75Pt0oW6QIM9ZuzIOeS3YUoB5lzrkI/5V9G2An3talOfUSMBeIAl51zkUELpjZIuBpoDDwu3PurPTXnXORzrnBQODd8b1mttX/82D/+HHG3acyeB9IBto751rnot+SjS8/GcX033+mdt2G/PfhF6lcNfjA+vx/vDV1rdtlnoXRwDWjRMnSLLX5HIjLnK72z2kT+euPSZx93mVUrVEnbx9Ajls79sezbNtu5m7cnunavzu8ILRi8cIA7E1IwrbsYta6bZnK7o5PZEdcPLGFoihVOCbtfNOKpdmbkMi/27Of+yeS0bb9B1i8dTsz12cOGpdu3wFAleLFM117qmcXapcuyZBvfgr5+j+9C5o25IKmDRk+5U8Wbsn88y15T6/4809j59zYDOdigPZAbbxAb6iZZZ50FYKZJTvnbgB+x1vdfyVeCqiAB/BW8t8FfAOsdM7Nx1vl3w6o7t/3ATN7GcA5VxjvlT1kn+R/g3PuF+AMvFHU63Lad8la5ao1uOq6u+jQ6fQsFzmtX7sSgGrVawdvp0oNlu6ex/p1q6hbv3Ha+Z07tvL+6JeoW68Rfc6+kPfefj4vuy/HsWu/CP1SpUVlb0O7jXu9KSn3/Tg7ZNmqJYpQvlhhDiQmsyPOm4NaqnA01UoVY97GHVzdviH9m9Skdpni7I5PZOLyDbwwdSGb9x0I2abI+eO+CXmtbdVKAKzbc+gI6Rn1vHmkz0+fzfQ1G4JVPUSV4sV4rndXZqzdyDPTZvHymd2PrNOSIxpBzT8V8ZLep/86Cy8J/jtAOzMbl9tGzWwaB9NAPeWcK5vuWqqZ3Q2chvc6PgXoibf7VCIwyr/v4+maPBcoAywzs1k56MJ7/nGQc+5wtmqVIM4852JO6XJGtivwd+70RrFKlS4X9Hqp0t6Pw+5dOw45P/rNZ0hKTOCq6+4mMjIqD3osArd3agrA90vWZVMS/tOlGQC/LF9PUor3oqZpRW8qS/PKZbizSzO27Y/nj9VbiIqI4OKWdfn68h7UKZN59EskJx44rQMAXy5alnauTOFYXjurB4u2bOeRSdNz1M5rZ/WgcKEorv36R1JSs3rJKHlJI6h5zMxGcxjJ7M1sMAdftWdX9irgqiyuTwYm57Ctj8hm5DRD+fc5uA2qHGUJ8d5oUkxsbNDrMTHe+fSLrH79+Wvm//MXF156fcipAyK5NaxLMzrUrMCWfQcYOcOyLHtRizqc17QW+xOSeG7qwrTzTfwFUrZlF9d+MZW1u7ypKUWio3jyjLac06Qmz591Ev3GTMy/B5Hj0iPdTuHUWtXZtHcfz/9xcGT/+T7dKF+0CBeM+zbL9FMB17Zpzhn1azPsx8ks3a550keTAlSRY0hEhDfCGkFE0OuppPpHz+ZN6/n0gzdp2KgFp/c+72h0UU4At3VqwvUdGhGflMxNX//B9riEkGUvbFGHx3q2ISU1lXt+mMmKdHNN35m5hO+XrGVfQhI70rURl5jMPT/Mon2N8jSvXJZWVcoyZ0PmObAiwTxw2skM69SOA0lJXPr5BLbu935hD8wj/d+UGczesDnbduqUKcUTp3diyqp1vDLjsHcRl8OkAFXyjL8Ia3BOy7/1/s/51pfjVWxhbzFKQmJ80OuJCd4/8rGxhUlJSebt156CiAiuHDqMiIjgQa1ITkVFRPBIz9Zc0rIuBxKTuf6r6fy1dmvI8jd3bMztnZuSnJLKf3+YxbeL1x5yPSWVtFHTjA4kJTN99RbOa1qL5pXLKECVbEVFRPB8n65c3aY5cYlJXPzpeKauXg8cnEc6d+MWhk+ZkU1LXn7Vt87pSWoqDPnmp2zLS95TgCp5qTbe/FfJJ6XLlGPNquXs2rmdKlVrZrq+K22Oallm/zWV5UsXUKFiFb78dPQh5VYs83Y/mfzreBYumE2b9p1p275Lvvdfjl1Fo6N4+ZyOdK1bmV0HEhjyxbSQwWlURARP9mrL+c1rE5+UzH/Gz2BCDuapZrTFXyBVuJDmTUvWikVH8/6APpxRvzY74g4w8JNv04JTgGGd2lG2SGGWbN3BG2effkjdisWKAvB0z1PZl5jI07//ReMK5ehYoyorduziQX8ua8BJ1SoDcFXrZnSrU4OvFy/nK1uez0944lGAKnlpJfBbLsormM2latXrMG/ODDasW0WjJq0OuZaamsrGDWuIjIykarVabFi3GoAtmzewZXPwlarLly5k+dKFVKxUVQGqhFQyNpoxA7vQvHJZ1u/ez1Wf/c6SrbuDlo2JiuT1czvStW4Vdh1IYOgX05gRIpC95ZTGuPKleHHaQixIezVKFQNg457gG1eIAJQuHMu3l5xLm6qVWLNrD/0/+oqFWw4dcS8WEw1AhxpV6FCjStB2zmlUD4DRcxZQ3C9ft0wp6pYpFbR8oK0VO3YpQM0HClAlz+R2gdiUmWu0HDKXmrVoz/fffszfM6fRrWe/Q64tW7KAPbt30rBxCwoXKUqn03rR6bReQdsZPfIZfp80gSuHDAtZRgQgOjKCd87vTPPKZVmydReDP/k9La1UMM+fdRJd61Zh4544Bn86JWQgC9CoQil6N6zOsm17sK0LDrlWrmgsXWpXIiE5helrsp8vKCem6MhIvrjoHNpUrcTCLdvo98FXmdJKAQz95meGfhN8Wtm8Gy6nXtnSNHppFKt3eXOkp7COsf8sClr+1b49GNy6KUO+/ilkGTlySjMlcgxp2LgFVavXZuH8WUyeeHCPhz27d/L+6BcBOOPMCwqqe3Icur1zU9pULcf63fu55KPfsgxOL2lZl94Nq7MnPpFBH/+WZXAK8MHcfwG4pn0D2lY7mDqtaHQUT/VuR4nYaMb98y9b9wWfcy3ywGkdOLl6Fdbs2kPvMZ8HDU7l2KQR1Cw459oA04F+Zvb9UbxvS+A+oCtQHFgBjAVeMrN9QcqXAe4F+gG18HKezgVe89NCZSxfBLgDGAjUx1v0vRhv9PMVM0tJV/Zm4CGgpZnlfhKZ5KnIyEgGD7mTZ4YP4723n+P3SRMoVaY8tmgu+/ft4dRuZ9KqTceC7qYcJ0oVjuaKNvUB2LY/nvu7Z9xh+aA7xv/FTR29zSE2743j5lMahyz72MS57IhL4PeVm3jrryVc074hH13UlVnrtrIjLoF21ctTrmgsM9ZsYfikf/L2oeS4UaZwLDec5P1Mbt0fx1M9Q09TuvqrH49WtySPKEANwTkXg5fv88ejHJyeDXwCxAKr8QLk+sCTwAXOuT5mtjld+SrAVKAOsAH4ESgNdAQ6Oec6mNnN6coXB37F21lqO96c0RigA/Ai0MM5N8DMAgniXsXbNWoU3g5SUsDq1mvEfY+8zFefjmbxojmsW7uSipWrMeDCq+nSrU9Bd0+OIy0rl6VItPfPRPPKZWheuUzIsi9PX0zlEkUAqFeuJPXKlQxZ9pkpC9LSSg2f9A9/r9/GFW3q06RSaaIiIli1cy9vzjBGzVqaltRfJKN2VStTNNqbK9q6SkVaV6kYsqwC1GNPRKp2RQjKOXc/8AjQ3MwWZlc+j+5ZFm+0tBTwFHBfIFB0zt0CvAB8Zmbnp6vzId5Wpe8D15jZAf98C2AiUA7obWY/+OefBO4BfgHON7Od/vnaeMFtA+A6M3sj3T3Owts69RIz+zCvnldzUCUcdWnnbWZQd8SnBdwTkcxWDDufoo+/WNDdEMlk//23ACGSdB8GzUENwjlXHm8/+/FHKzj1DcQLTqcC96YbxcTMXgS+BwY451r5/SwBnAfsBW4IBKd++X+Ax/yPF6W7xxX+cUggOPXLrwSGBSmPmX0LLAQed85FH+EzioiIiGRJr/iDux4oAbwVOOGPMP4LfAbcDgwHevnlFuPN3QxWPie6mdkkoLn/+VszCza6+CvQ2/+aA1QE/gK2mFmw1QhL/GNVv0/FgaXAGjNbkV35DN4B/g8YQC62RhURERHJLQWowQ0G4oBg20dUB2YA0cAfeCOenYCRzrnCZvayX24vOd+zfpN/DIxo7wlRLsk/NgYws+VA5yzabe8f1/rl95J17tFDymfwDV6AOhgFqCIiIpKPFKBm4JyrB9QFJptZsHwqJ+O9ar843fzNa4CRwG3AywBmthW4NJe3N//YBXglyPVAMFohu4b8aQq3+R8/y0H5WOD+UOXNbIlzbiNwqnMu1syU90VERETyheagZhYYYZybRZmb08/fxFvhvh+o55wrF6JOTnwMHAAu9IPeNP4+9/39j7FZNeIHm+OAMsBEM/sum/IRwNt4C6QW+X8OZi5QBC9IFxEREckXClAzC2xwvjLE9R1mtiz9CX8x0xb/Y7HDvbGZbcBL6ZSCN2VgkXPuC+fcPLw5oK/6RRNDteGcKwp8BXTzn+GSrO7pnIvy2x4E7ADOy2J0NDCntkaOHkhERETkMOgVf2aB1+e7QlzfEeJ8YH5oJBz2IinM7D3n3Eq81+0dgWp4c15vw5sXewOwM1gjzrmKeMFpB7zgtLuZbQpW1i9fDPgQOBsvJ+oZZrY4i34Gviehk82JiIiIHCEFqJkF0iiFGl3Oae7Ow1kkBYCZTSZIUnzn3FX+H1cHudYQb25sHWA+Xu7TkDs/OecqAeOBtniLonqb2YJQ5X1R/lE/NyIiIpJvFGhktt0/ZrsQKSuHs0jKOVcSaA3sNLNgc2C7+8eZGeq1xss4UA6YBJxrZqFGgHHO1cJLWVUHmAecaWbBVu5nVN4/bs+ylIiIiMgR0BzUzAK5QKsUwL2r4AWYmVbw+yOe/YHdwA/pztfF2wGqHN4Wqb2yCU7LAj/jBaeTgS45DE7hYH7UJVmWEhERETkCClAzm+YfOx7tG5uZ4aWa6uScGxA47+8Y9QFQFHg2EID6q+/fxxvZ/A4v9VVCNrd5FagP/I33Wj9kMJuecy4SOAlIAGbl5rlEREREckOv+DMws8XOuaVAK+dcyRA7NOWnq4DfgE+cc7/jvU7vApTFWwA1PF3ZXngLosDb//Zd51ywNheZ2RPOucZ426mCtxnAyBDlt5jZ7RnONQdKAxPMbH+un0pEREQkhxSgBvc28D/gHGDs0byxmU1zznUFHsIbxU3BG1W9BxhlZknpindN9+c+WTT7G/AEXo7XCP/cqVmUX4W3nWt6gRHdtxARERHJRxGpqTldlH7i8F+p/4s38tiloPtT0PxcqavxRnNbmFme/NBMmblGP3wSdrq089L81h3xaQH3RCSzFcPOp+jjLxZ0N0Qy2X//LXBwEOyIaQ5qEGa2B3gG6Oyca1XQ/QkD5+EtkHokr4JTERERkVAUoIb2LF4+0REF3ZGC5JyLxpse8J2ZaUhJRERE8p0C1BD87T4vBU51zvUt6P4UoBvxFmhdXdAdERERkRODFkllwU+WH1vQ/ShIZvY88HxB90NEREROHBpBFREREZGwogBVRERERMKKAlQRERERCSsKUEVEREQkrChAFREREZGwogBVRERERMKKAlQRERERCSsKUEVEREQkrChAFREREZGwogBVRERERMKKAlQRERERCSsKUEVEREQkrESkpqYWdB/kxKUfPhERkeNHRF41VCivGhLJra2rdxV0F0QyKV+zFAD//LOhgHsiklmLFlUYP3VlQXdDJJO+nWrnaXt6xS8iIiIiYUUBqoiIiIiEFQWoIiIiIhJWFKCKiIiISFhRgCoiIiIiYUUBqoiIiIiEFQWoIiIiIhJWFKCKiIiISFhRgCoiIiIiYUUBqoiIiIiEFQWoIiIiIhJWFKCKiIiISFhRgCoiIiIiYUUBqoiIiIiEFQWoIiIiIhJWFKCKiIiISFgpVNAdOBzOuUnAabmo8puZdXXO1Qb+9c9dYGafZnGPn4EeQDczm5TDfq0EagW5FAdsAn4FnjSzpRnqpe9XMEnAdmAe8Ho2/Y4C+gKDgRZANSABWAB8CrxmZnHZPEcz/14Ad5vZ01mVFxEREclLx2SACvwErM1wriNQFy+w+ifDtUVB2njZOfermW3Lh/79jBeQgjdKXRRwwJXARc6508zsrxB13w9yrjTQBC9g7uGce8jMHs1YyDlXE/gI73sRj/d9mAtUBNr654c457qb2fos+n+lfzzglx9hZqlZlBcRERHJM8dkgGpmT2Q855wbjRegfm5mD+egmUrAC8Cledo5zxPBRl2dc9cDrwJvAS2DVTSzoP1xzkUAtwLPAQ865941s1XprpcDpgNVgTHAPemDUOdcFf++ZwITnXNtzWxfkPsUwvueLAP+BAbhBcY/Z//YIiIiIkfuRJ2DuhPYBwxyzp19tG5qZq8Ba4AWzrm6uaybambPA38BUUCvDEXewAtO3zWzyzOOkJrZBuB8vFf9DrgmxK364o24fg+M888NzU1fRURERI5EjkdQnXMPAw8BZ+MFSHfjzXFMBCYBD5rZvAx1TgGGAZ2BUsB64DtguJmtzVA2FZgF9AQeB84FyuHNzRwFPGtmSbl9wBC2AS8BzwOvO+emmNnOPGo7O+uBGkCJw6y/CmgPlA2c8F/tnwfsB+4KVdHM4pxzTwA3AqFe2Qde73+HN2q6HejnnKtsZhsPs88iIiIiOXY4I6jXAF/iBZw/4I1Gngv87pyrGijknLsBmOJfWwZ8hRfMXg/87ZxrE6TtEsBU4HJgPjAZaAA8BfzvMPqalZf8e1UFns3jtoNyzhUDGuF9z+ww6hcHuvgf56e7NBCIACaa2eas2jCzD82ss5m9GKT9CnhTADYDP5lZIvAhEM3BwFVEREQkXx1OgNoPuN7MmprZALzXxROBksDVAM651ngB4AGgp5l1NLML/LIPA+WBz51zsRnaboi34t2ZWS8zOwPo418b4gd4ecLMUvz+HgCudM5lfGWeZ5xzRfyA/HO8wP5BMzuQw7oRzrnSzrnueL8QVAL+BiakK9bIP4ZaeJVTl+IFo2PTjVa/4x+vdc6dqFNCRERE5Cg6nIBjqpm9HvhgZgnASP/jSf7xFr/tx83s53RlU8zsEbwpAbXwRv4yujv9/Ekz+wlvtLEEBwOxPGFmhjdtAeBN59zhvnbP6FfnXGrgC+/V+yzgDOApM3spVMX09fy6KcAO4BfgFLwg9UwzS05XrYp/3MSRGewfRwdOmNlsYA5QB2/6hYiIiEi+OpwA9c8g5wJzEwMjnKf6x3FByoKXCgmC5zLNSft56Rm8kceaQF7l+/wZL11U4Otz4A+8KQ53Oefe8POVBhOo8wHeyHSKf/4zoJGZ9Q4yFzQw2hl9uB12zrXFm1M8K+NcYrw5wKDFUiIiInIUHE6aqWCLiQIBUiDgDcxFXRmijUBS+soZzqeY2Z4ctJ9nzCzZOXcV3gjnUOfcODP7NWM551xj4L4gTSwKkvYqVJqpOngjoEOA5QQJiDOmmfKnBnwPDMBbgf9QxjrABv9YIci1nBrsHyv7GyGkV9w/nu2cq5pNDlURERGRI3I4AWpOErZHZHM9MHoYfxht5zkzm++vbn8EeMs51zxIsUp4OUEz+g3IlJc1xH3+dc7di7ej0zXkYMTWzGY75y7Ee8X/oHNumZmNyVBsln88iWw454rizQOehL8QyjkXA1ziF6nmfwVTCLgKL8uCHCXf//Qdjz39cMjrV1xyJUOuvD7otcTERK656QqWrVjGp2O+pErlqkHLiRyOpKQkJkz4jN9++5H169dQtGgxGjZswrnnXkLDhk2zrLtu3WqGDbuaAQMuY8CAy49Sj+V4N+P3H/nonWe46Z5nqNuwWZZlN65bxTOP3EjvfpfRo++FQcvs2L6ZH74cy+L5M9m7ZyfFipWkfuOWnHHOICpVqZkfjyC+/ErUvx5vzmIdvBX8GQVygB7pnMm89CReqqaWwPCMF/0R0ewC75xY4B9r5LSCmf3qnHsJb27vy865iWa2Ll2Rb/CC+1Odc+XNbGsWzZ2Ll/rrarygG7yFb2WBn80s6DxT59x5eNMMrnXODfcXmclRsGS5l/ChfZuTKVOmTKbrDeo1DFl35OjXWbYi2P+CIkcmMTGBJ564iwUL5lCoUDT16zciNrYw8+bNZtas6VxzzW307HlO0Lq7du1kxIgHSExMPMq9luPZymUL+eL9V3NUds+uHYx+5VGSk0L/DG7ZtI6Xht/O3j27qFCpGrXqdmDzxjX8/eckFsz5g+vu/B+16zXOq+5LBvkVoE7GC04vwAv8MgosjpqUT/fPNX8k8UpgBnAzXqql/NDAP67JZb378ALo6nj5Wy8IXDCzjc659/FW4T+Fn00hI+dcSeAB/+PIdCv1AymkPspcK823eDlRawK98fKkylGwZNkSAO4b9gAVylfMcb1/5s/lw0+D7ZwrcuQ++2wMCxbMoUKFytxzz3Bq1vTGHbZt28yTT97LW289T4MGTahdu/4h9VavXsH//d9DbNiQ278CRUL7Z9bvfPj2M8THx2Vbdv2aFYx+5TG2bs56tto340ayd88uuvW+gL7nX0VkpDfL8Ievx/LDl2P4bMxL3PFwzgJiyb38Shv0EpAM3O+c6xE46adMehBvEdUqvKAnbJjZ33iv3SPJPD/2iPl5YgOjs7mKHMxsL3C7//F859wZGYoMw9uA4Crn3GjnXKX0F51zNfDy1zYCVgT64W+BegbeAq7Ps7h/AvCx/1GLpY6iZcuXULZM2VwFp3FxcTw+4hGqVK5K+XJHMjVZJLhffhkPwNChd6YFpwDlylVk6NA7SElJYdy40Wnn4+MP8Mkn7/Lf/97Ahg1rqFixSsYmRXJt5/YtfDDyaUa/8hipKcmUKJn5LVNAQvwBvv9yDC88cRtbN6+nbPms/5m3BbOJiIjgjH6XpgWnAD3PupiYmFjWrV7OgbhMO4ZLHsmXANXMZuEFU0WAn51z05xz4/DSRT0CbAEGmtn+/Lj/EXoUWHiEbdznnBub7ut959zPeEF5M7xR2lxnDDCzT4Ef/Y8vp88j66/s7wysBq4AVjvnfnfOjXPOTcZblNUNWIyXm3a3X/VyvDnBP5jZjmy6EJj72tc5Vz23/ZfcW79hHXv27sE1yN1rpJfeeJ4NG9dz37AHiY3NmG5Y5Mjs2rWTnTu3ExMTS/PmmfdcqV+/MbGxhfnnn5kkJ3sZ8aZN+5Vx40ZRpEhR7rzzMU47LePv2CK5N+GLd5k5/Rdq1G7ILfe/QMUqoWfPzf7zV378eixFihTjqpsfok2Hblm2HRkRSWpqKrt3bjvk/IG4/SQlJVIoOoaY2MJ58hySWb4lXvdzfZ6GNz+yIXAO3hzO54BWZjYjv+59JMwsHm8h0JHMsTwdb0FV4Gsg3tzWqXjzSE81s+zfQwR3E97isgZ4282mMbPFQHPgHrzUWU3wpgW0wEvfdQve935FumqD/WNWr/cD7U8HluIFtNccZv8lFwKv98uWKcuzL49g4BXn0e3Mzlx05fmMGvs28QkZ1xnC9BnT+Gr8F1x43sW0bNbqaHdZTgCpqd5fj7GxhQ8ZWQqIiIggMjKS+PgDbN3qzZYqUaIUAwdeyYsvjuXkk7tkqiNyOCpWrsHFV9/Jrfe/QNXqdbIsW6x4Kfr0v4J7n3yHZq1PybbtRs3bATDm9eGsWrGYhIR4NqxdyehXHiMlJYVTe/YnMjJUxkg5Ujmeg2pmD+Ot/g527XeCLCAysyl4253mpP2QC5DM7PQc1B/MwWArVJmV5GChk5n9ycFMAzlmZrVzW8evt5IcLsAys6VAyF/Z/JHRp/yvnLSXq6E5Mwu9IkfyXGCB1PgfvqFEiZK0bNaKCuUqsHjpIt569w3+/Gs6Lzz9MrH+b/G7d+/iyWcep3bNOlx75XUF2XU5jpUsWZpixUqwZ88u1q1bRbVqtQ65vmrVcuLivBdku3fv/H/27ju+qiL94/gnJAFC71Wk8yyKdLBgW7uioqjrIhbsZde+uupaf2vvBVRWUewVFAt2RQRBRJSi8NCbSO8dAr8/5lwIyb1pJOQK3/frldchZ+bMmZO9G5/MmXmG2rXr0rHjQXTsmHdQIFIQiSLDlxgAACAASURBVFbfx7Nf+4PYr33+P4Pdz/4ny5YuYvb0STxx99XbzqempXNqzys4+Ij4iwClaGjrSpEkNmVqCFCPOOwo3nvtQx74v4fp82hfXn3uTZo1ac7438bxvxe3bezGw089yPIVy7j1xjsoU1qv9qV4lCpVikMPDa/on3rqPpYu3Z44ZPnypfTt+/C27zfnskpaJJmVr1CRzl2OpmxGOWrV2YtW7Q6kVp29yNy8iWFffsC8OdPzbkQKrbhW8cseyMx6kccodlbDv0jKWR5J5e7b72feH7+zV70GpKdv3yisbp16/OeGO7jginMYNPh9Lr/on3wz9Cu+GvIF5/W8gJa2Twn2WvYEPXpcyKRJ45g2bRJXX30OzZvvQ6lSpZgy5TeqVq1Oq1btmTBhDKmpegUqf04vPX0P48cM55Qel3Po0adsO//9Nx/x7itP8ezDN3PTvc9TvkKlEuzl7ksjqFKUGhHmHef3S/JQpnQZGjdsskNwGtOiWQtq1ajFunVr+W3SrzzS+yGaN23BBWdrerAUv4yMcvzf/z3JqaeeTaVKVZg4cRzz5s3h6KNP5r77nt02N7V8+Qp5tCSSfH79ZSTjxwxn37YH7BCcAhz01xPpeOCRrFm9ghHfKuNicdEIqhSlmYSdtfJLQepOqlatOgsWLeDlN/qzatVKGjZoyD0P/98OdZYuWwrAk88+RtmyGZzX43waNcx9MYFIfpQtm8FZZ13EWWfl/KPo999nk5KSQvXq+U+PJpIspvk4AFrsmzNLBUDL1p0ZPeIrfp+ljVCKiwJUKTLu3h/on9/6i2evKJGtbf8s1qxdQ+++T7By1Uru+s/dpKXm/L/rH/NDounNm8OeCxN+G8+E38bHbW/o8PC3w0nHd1OAKjttzpwZLFw4n9atO+YY4f/jj7ksWbKQ+vUbUrZsRgn1UKTw1q0N+U1TE6zSLxVNXcnM3By3XHaeAlSRJFUuoxxDhw9h+Yrl/DJ2DB3bd96hfOSPI1i+YjlNGzfj8QeeStjO387rzu/z5vLuK+9Tt0694u627CEGDHiF4cO/5rbbHqZ16447lH3xxQcAHHjg4SXQM5GdV6tuSPU9cfyPHPTXE3OU+69jAKjXoEmOMikaClBzYWbtgRFAN3f/dBfedxqQ26c+Pcs2pZhZFeAO4BSgPrAK+B64N8pdmr39DOB6Qn7WZsBWQgL//kAfd9+Spe6VUdtt3P33nXsyKYiUlBROOv4UXnmzP4/1eYTHH+hNzRphV6i58+byyJMhk9h5Pc/PrRmRYtGpUxeGD/+aN998gRYt9t02Ujpq1HcMHjyA8uUrcOKJp5dwL0UKp8MBR/DZoFf59ZeRDP/mQ7r89aRtZWNGfsMPQz8lvXQZ9j/0uBLs5e5NAWoCZlaasB3p57s4OK0MNAYWAF8mqJY1gKxGCEYNmAt8TAhSTwSON7O/RztQxepXAL4BOgJLCXNGSwMHAE8CR5rZae6eGV3yNGFr0xcJW6LKLnT+2RcwdsLPjJswlh4XnEGbVm0AGPPLT2zctJG/n3YWRx52dAn3UvZEXbocydChXzBmzEiuuupsmjffh6VLFzN16kTKlCnLv/71X8qXr1jS3RQplEpVqnPWRTfwSt/7GfBKb777chC16+3N4gXz+GPuDFJT0+hx4b+oWk1zrIuLAtTEbiTsgHXaLr5vW0LS/g/d/eJ81L+FEJy+DZwb7YSFmfUEXgWeNbMP3H1jVP8/hOD0K+B0d18e1W9E2Ea1G2GXqL4A7p5pZjcBH5pZD3d/o2geU/KjTJmyPPng07w14HU+++pTxvzyE+np6ezbshWnn3Imhx+S+1Z9IsXpuuvuYsCAVxg27EvGjBlJ1arVOOywYzn11J7Ur793SXdPZKe07nAw1972JF8Nfoupk8bx6y8jKVe+Im06HsKRXf/OXg2blXQXd2spW7dqnUp2ZlYDmA4McfddulWEmV1D2A72cnd/Nh/1xxG2N23jHi073F72K2G70/bu/nN0bh5QF2iabctTzKwb8D7huf8ap62ywF/cvUgyb2uRlCSjGntXBmDcuD9KuCciObVuXZePh88s6W6I5NC1SyPI566Y+aER1PguByoCz8dORCOMM4ABwLXAvcCxUb1JhLmb8ernx1/dfUj073bR8ad8Xht73V8f2BagmlkaUDn6dml0rgIwBZiTPTiNTI6O8VbSvAA8TBhRfjOffRMREREpMAWo8fUC1gFfxCnbCxgFpAMjCUFgF+A5Myvr7r2jeqsJc1jzY0GWf7cDMgEzs0eA1oRFTMOA/7p79u2XPgHaAE+b2cWE+ah1gHsIQeu77j4LwN1Xk3vu0U7RcW6csg8JAWovFKCKiIhIMVKAmo2ZNSWsoB/q7uviVNkf+BTokWX+5kXAc8A1QG8Ad18MnF3Ae5cBWgKpwCvAj4QFTa0Ii56ONbOzsi56Av4vuqYbOQPqe4G7CnDvW6NvB2Qvd/fJZjYfONTMysTmuoqIiIgUNW11mlNshHFsLnWujAWnkReBtUBTM6u+E/fej/BHwyrgKHfv7O6nuntzwrSCdKC/mdWJXRAF0a8DvwOzgQ+An6Pi84E8V9GYWQrQD2gOTIz+Hc9YIIMQpIuIiIgUCwWoOcWWns5MUL7M3XfY2yxKybQo+rZ8YW/s7qMJC5j2c/evspU9TljAVJ7wmh0AM3sIeIuwir+pu3dz9/bASUBV4H0z2yfRPc0slTC/tCewDOiey+hobE5tg4I/nYiIiEj+6BV/TjWj44oE5csSnI8lzi8FhV8k5e7zc6n3ISEZf4foHvsQEu6PB27IkrsUd//IzO4jvOK/Hrgwe2NmVh54gxDMLgWOcfdJudw/9jNR4jcREREpNgpQc4ptKp1odDm/qZEKu0gqN7HgtVx0PJSQ0uHrrMFpFoMJAWq77AVmVpuQ1L8DYVHUce7+ax73j21KrM+NiIiIFBsFGjktjY41c62Vh0IukjqTsNjpI3d/PU6VxtExtsq+SnTcHKdu1vOls92nIWHxVWPC6OsJ7h5v5X52NaLj0lxriYiIiOwEzUHNKZYLtG4J3LsW0IOQh3UH0UKmWMD7WXSMvY4/zszi/W8Z2wNz24KvaGvULwnB6VDgkHwGp7A9P+rkXGuJiIiI7AQFqDl9Hx0PLIF7vwmsBA42s2tjJ6Pg9HbgAMKI5wdR0aeElfv7AvdnDVLN7PDomq1Eqa8iTwPNCCv9j3P3RHNtdxC13RnYSP43ERAREREpML3iz8bdJ5nZFKCtmVVy95W78N6LzOwCwsKlR83sQsIo6X5AC8Ic1NPcfXNUf72Z/Y0QqN4AnGlmowmbCXQkzE+90d1HAJhZS+Bv0e1WETYXiNeVRe5+bbZz+xGmFHzi7muL6plFREREstMIanz9CAuCTt7VN3b3AYTR24FA7agPZYCngNbuPiVb/R+AtkBfwmjpSYR8pp8BR7v7w1mqH8b2fXIPJaSWivd1apyunRYdn49TJiIiIlJkUrZuze+i9D2HmVUkpIia6O6HlHR/SlqUK3U2YXFUa3cvkg/N4tkr9OGTpFNj78oAjBv3Rwn3RCSn1q3r8vHwmSXdDZEcunZpBNsHwXaaRlDjcPdVwCOEuaBtS7o/SaA7YYHUXUUVnIqIiIgkogA1sUeBCcBDJd2RkmRm6cA9wGB3f7ek+yMiIiK7PwWoCUTbfZ4NHGpmXUu6PyXoH0A14uxEJSIiIlIctIo/F+4+lrBAaY/l7o8Dj5d0P0RERGTPoRFUEREREUkqClBFREREJKkoQBURERGRpKIAVURERESSigJUEREREUkqClBFREREJKkoQBURERGRpKIAVURERESSigJUEREREUkqClBFREREJKkoQBURERGRpKIAVURERESSSsrWrVtLug+y59KHT0REZPeRUlQNpRVVQyIFNWvKkpLugkgODZtXB2Dg0Okl3BORnLof2oQ7Bk0o6W6I5HBXt1ZF2p5e8YuIiIhIUlGAKiIiIiJJRQGqiIiIiCQVBagiIiIiklQUoIqIiIhIUlGAKiIiIiJJRQGqiIiIiCQVBagiIiIiklQUoIqIiIhIUlGAKiIiIiJJRQGqiIiIiCQVBagiIiIiklQUoIqIiIhIUlGAKiIiIiJJRQGqiIiIiCQVBagiIiIiklTSSroDhWVmdwJ3FOQad08xs5lAQ6C3u1+ZS/u3Av8F7nL3O/PZp/7AeXGKNgFLgFHRfb+Ic22sX/FkAquAqcA7wBPuviGXfnQGLgQOBvYm/CEyA/gUeMzdf8/jOdKAuUBt4BN3PyG3+iIiIiJF6U8boALjgNeynWsCHAgsBHIEgdn8w8zedvfviqFv46P+xWQA9YGuwMlmdqW7905w7ZfAgmznMoDGQMfo6ygzO8HdN2etZGYZwJPARdGpX4Gvo+vbAtcDl5rZie7+bS79P54QnK4HjjWzRu4+M5f6IiIiIkXmTxuguvtAYGDWc2bWixCgTnT3s/NoIgV4wcxau/u6Iu7ewHijrmbWEfgWeMTM3nX3+XGuvcfdh8Rr1MwOAT4BjgbOJEuAbmYphJ/HccCPwGXuPiZLeQZwG3Az8LGZdXH3sQn6f350fIAwSn0RcGvCpxUREREpQnvyHNS5QDPg7l11Q3cfTQgiSwMFfm0ejfY+HX3bNVvxPwjB6QTgqKzBaXTtOne/BXgBKA/cGe8eZlYDODFqpzdhesKF0Wt/ERERkWK3Jweo/wA2A9eY2QG78L6x+Z8VC3n9rOhYLdv5a6LjTe6+Mpfr7wbGAr8nCDrPBtKBwe6+mDBvtQ5wciH7KyIiIlIge/Ko2BjgYeAmwqv+drktPCpCHaLjyEJef3x0nBA7EU0daAqsIEwBSMjdZxDmoybSKzrGpg+8DJwEXEq2KRUiIiIixWFPDlAhvOY+BWhJmGt5S3HcxMxKExZJ/RM4ijBH9YcCXF8OaAFcRXi1v4rw+j3mL9FxjLtv2Yl+tgPaRO3EFnl9ACwGjjazJu4+vbDti4iIiOTHHh2guvsGM7sAGAbcEC1cGpPXdflwh5klSoH1LXBWLtd+Y2a5te1Ar2yr6utGx+yr/wsqtjjqxW03c99oZq8BVwMXExZZiYiIiBSbPXkOKgDuPgJ4ghCsv2hm6UXQ7HjCK/LY19uEdE8rgcOAIdFipHi+zHLdIGBNdH5CdG1Ld88+PSCWbqrQfY9Gec8CNgKvZyvuFx0vKKKfj4iIiEhCe/QIahb/IcyzbE14zX9XvEpm9mq883FSWiVKM1UReAk4lTC3M95K/h3STEWB7IfAAYRUTycSgsis/oiONeP1L59OAqoTAuKBcUZxM4FahCkR7+zEfURERERypQCVkILJzC4CvgH+Y2aJFgP1THA+r5yrsfusMrPLCCvijzez+nnt6uTui82sG2FU9mjgGcIuUVn9FB3bmVla9gT+2ZnZv4E5hF2ilkWnY6/3yxNGahO5FAWou9yChX/w6hsv8tOYH1i+YhmVK1Whc6eDOO/si6lWtfoOdYeP+Jb3Br3N1GlOSqlSNGrYhJO7duevhx1TQr2X3c1Pw7/g3f6PcumND9Goeasc5T7+R4Z/+T5zZ05m44b1VKxcjRatOnJE179TuVref0e/98qTjBr6Caf3uo4OXY4ujkeQ3VTbBlU4tf1e9PtuOrOXrt2hrFLZdK4/NvEUullL1vDCsBk7nCuVAvs3qU6bBlWoXr4MW7ZuZd7ydXw3ZRHTF61J0JIUBQWoEXf/1syeAa4gzMH8KE6dlCK4z0IzW0zYqWkvtqedyuuaywir6C8ws/fd/cMs5VPMbCJhsdfR5LKS38zqA/cSpnd0AJaZWR1CDtVVQC13Xx/nulpRX48ws+buPiXfDy07ZfKUifz71qtZs2Y1jRs1pUXzlkyeOolPPvuAseN+4qnH+lGxQiUAXnjpWd5852UAmjRuTq2atZk8dRL3PXQno8eM4rqrbiY1NbUkH0f+5GZNm8gHbzyTsHzIJ2/z2cAXSUkpxV6NW1CxUlXmzZ7GqKGD+fXn4Vxyw0PUqtsg4fU+YTSjhuaajEQkrr2qZnBC67oJy+tWKQvA/BXrWLAyZ9KeJat3PJdaKoWeBzSkac0KrNmwmWmLVlOhTBpNalagUY3yvDlqNj5/VdE+hGyjAHVH/yasku/A9oVHRcrMqhJepUPYLCBf3P09MxsEdAOeMrOv3D3rn4ePAM8DD5rZt9nKsnqAEJyOzLIg7FwgFRgULziN7r/QzD4j/HwuBm7Mb9+l8DZu2sh9D93JmjWrueLSaznlpDPC+Y0buP/huxj2/RBeea0fV1x6LT//Mpo333mZ9LR0br7xLg4+6HAANmzYwKNP3scXXw2mRbO/0O2k00vugeRPbcKY4bz74iNs3BB/870F82bxxfsvUbpMBhdcew8Nm7YEIHPzZj56qy8jh3zEu/0f5YqbH4t7/do1qxjQP36ZSG5a1q3EKe3qUyYt8R/gdSuHAHXY1MWMn7sizzYPbV6TpjUrMGPRat4YNZsNm0OSnH3qVeKMjg3o1rY+D382iS1bi+YZZEd7/CKprNx9NSH4AqhX1O1H240+RfjDYEher/fjuBpYCzQk59ajLwDfAa0Ii7B2eO9mZuXN7HHCNIWNhJRXMedFxzfzuP/L0fH8aFGVFLOh333F7/PmcMThx2wLTgFKly7DZRdfTdUq1Zj7+2wABn82CIDTu/fYFpwClClThmv+eSOVK1fh1TdeIDMz1xkgIjmsWLqIt/s9zGvP3M2WLVuoUKlq3Ho/j/yaLVu2cPDRp24LTgFS09I48cxLKV+xMnOmT2LZkvgJRwa91pu1a1bSoHGumUxEtqlUNo1T29fn7533plRKCqvWb0pYt07lDAD+WJ737uZppVI4oGl11m3M5O3Rc7YFpwC/zVuJz1/Fhs1bqFmx7M4/hMSlEdRs3P0LM3sBuGAnmuluZs2ynasAHA5UJuQVvbwQfZtlZncTXtFfb2Yvu/ukqGyrmXUF3gOOBMab2VhgKmFe6YHRvZcDZ7n7TwBmtj+wD7AU+DyPLnxA2AygBtCdvANa2UnffT8EgNNO6ZGjrFbN2rz16vaZKDNnhRS1B3Q+OEfdjIxytGjWkh9/GsHkKZNo+Zec8wZFEvn8/Zf5eeRX1G/YnNN7XcsHbzzD6pXLctRLTU2jzl6Nadwi5+crNS2NqjXqsGbVClYuX0rV6rV3KP/lhyGM+3Eox5xyHksXz2fODC+255HdxxEta9O2QVV+X7aW93/+nRNa16Ni2fjJZupWLsuGzZksWZ19nXFOzWpVoGx6KiOnL2Htxswc5W+Omr3TfZfcKUCN7zrgWEJy/cLYL/qK2QKsBqYBnwGPu3thc5Y+Qngl/xegDyEYBbYtwjoW6BF9tQP2BTYRAtWPgSfcfX6W9mKLowa6e+I/PUP7683sHeAi4DIUoBa7qdMmk56WTpPGzVi4aAHffPs58+bNpVKlyhx80OFYi3221d2yJfyFn5FRLm5bsbmns+fMVIAqBVKzbgPOOP962h5wBKVKJX7xdnS3czi62zlxyzZuWM/CeeE/6pWr7phlb+XyJXzweh8aNDYOO/4M3nvlqaLrvOzWFq/ewMAxcxk3Zzm5vWnPSE+lSrnSzFu+jgObhkVP1cqXYf3mTCbPX8UQX8iq9dvfLtWtEkZbf1+2ltSUFFrWq8Te1cpRKgVmL13LhN9X6NV+MdutAlR37w/0z6NOo3y0s4KwgKmg9+/F9q1CC3pto3zW20hYDJWoPBN4NfrKT3uXEYLNfHH3i9k+DUKK0cZNG1m0aAE1atRi6LCvefTJ+9iwYfsU4bfefZUzuvfk4gv+AcBee+3NnLmzmPDrWBo1bJKjrSlTJwGwYsXyXfcQsls4/Pi/7XQb3376Nhs3rGOvRi2okm0l/4CXHmfz5k2cccG/KFVKi/gk/4ZNWZyvenWi+af1qmRQq1IZZi1ey8p1a6hXNYOOjaphdSry4vAZ20ZXq5UPs9hSUlK45LCm264H6NS4Ogc1q8GrI2axeoOmTBWX3SpAFdmdrF0bUpisWrWShx77L4cefARn97iAKpWrMnrMDzz1zMO8M/A16tWrT9fjTuHoI05gxMjvePGVvjRt2oKWti8AmzZt4um+j7FkafhFvnFTrgPlIkVu0vhRDBn8FikppTj+9B2z5I0c8hGTJ4ym65mXULNOgccFRPIltkBqwcr1vP7DLJavDb8H01NTOLltfVrvVYXTOjTgf99OA6BstNjq+FZ1WbtxMy9/P5O5y9ZStVxpjmtVh8Y1K3Bmpwb0y5aWSoqOAlSRJLVxY/hLfsOG9XRo15mb/nXntrLDDz2KjIwMbrvrBl5740VOOLYbBx90GMcfcxKffP4h195wKda8JVWqVGXKtMmsWbOao488gS++GkxaLqtcRYrapHGjeO3Ze9iyZQvHdT+fJtZ6W9mShfP45N1+NG7Rii5HnlKCvZTd3YhpS/jtj5Vs3LxlhzmlmzK38sEvv9OwennqV8lgr6oZzF22jrTUkFUyLTWFV0bMZFkU0M5fuZ5XR87iyiObs3f18jSpWV75UIuJAlQpMmbWiwJMcfj8o++LrS+7g7JlM7b9+6Su3XOU79+pCzWq12TxkkXMmzeX+vUbcO1VN/MX25cPPh7A1OlTKFeuHO3bdubcnhcxdNhXAFQoX3GXPYPs2UYP+4z3Xn2KLZmZHHHiWRyWZarAli2ZvPPCI0AKp/e6npSUnU4zLZLQVtg2aprdpsytzFi8mrYNqlKvSghQN0ar9qcuXL0tOI3ZvGUrY+cs5zCrReMaClCLiwJUKUqNyH0XKimA8uXKk56WzqbNm6hdK35a3lq16rB4ySJWrFxO/foh+fnxx57M8ceenKPunDmzwjU1a+coEylqn7//Mt98/AYpKSl0PfMSDj7q1B3Kf/35e2ZN+41qNevwxaCXdyibPT3Mlx713SdMnfgz+7bvQqv2XXZZ32XPszpaIJWeGhYBxkZZl6+Nv+J/xboQtJYrrTCquOgnK0VpJvBtAeormM1FamoqDRo0YvqMKSxZupimTZrnqLNs2RIAKleuyqLFC5k9ZyYNGzSmRo2c20n+Mn4MKSkpNG/2l2Lvu+y5tm7dysCXn2D0sM9IS0vnjAv+RetOh+aot3F9WPC3dNF8li6an6McYPa0icyeNpHqteopQJWdcrjVpFalsgyZtJCFq3LuIlW1XFgUFQs8F6wMn89EKasqlAnh0xotkio2ClClyOQni0JWs6YsUZKOPHTqcADTZ0xh6LCv6NzxwB3K5sydxYKF86lerQZ169Rj8Gcf8GSfB+lx5nmcf86lO9QdOWo4ixcvZL9WbalatdqufATZw3z89nOMHvYZZTLKce4/7thhzmlWHbocTYcuR8ctG/DS44we9hmn97ouYR2RgqhdqSz71KvM4lUb+HrSwh3KypdOpWmtCmzesoWZi8Pr+ikLV3E8dWlaswJl0krtkKgfoGmtCgDMWpJo00bZWQpQc2Fm7YERQDd3/7QE+3EzITn/Xe5+Z5bzhwPf5KcNd982wcvMUgkbBZxHSFmVCkwn5DV9KOt2p2Z2EvAOsL+7j93ZZ5GCOfGEUxj00bt8+fWntG/bmSMOPwaAVatX8tiT97NlyxZOPvE0SpUqRecOB5CWlsaHHw3kmCO7Ur9eWBE9Z+4snuzzIADn9VSGMCk+PmE0w798j1KpqfS68i4aNVe+XUkOo2cuY596lTmwaQ2mLFzNnKUhsCydWopu7epTNj2VUTOWbEsbtWT1Rnz+SqxOJU5tvxfvjp7D5ijxaZdmNWhYvTwLV61n+qLVJfZMuzsFqAlEW3m+BnxewsFpa+DOBMULCH1M5CCgMfBLlvZSgUFAV8LmASMJifwPAP4P6GpmR7j7WgB3/9DMhgCvmVm7vJL5S9GqXasu1199C/c/fCf3P3wn7773BjWq12TipAmsWLmctq07cEb3nkCYj9rrnEt5/sU+XHblubTZrx2ZmZmMHT+GzZs3c1GvK2i9X7sSfiLZnX31QUi/XKFiFX74djA/fDs4br2/dv07teruvSu7Jnu4aYtW8/3UxRzUrAYXHNyY2UvWsnbjZhpWL0/5MmnMXLyGz3/dcarJB7/Mo1eXMrSsW4lrjm7B3GXrqFa+NLUrlWXdxkwG/jQ3180BZOcoQE3sRqAFcFpJdSAKkl8B4u577+4TgbMTXLsv8CNha9NuWYouIgSn44AT3P33qH4NwlamBwK3ATdnueZGQpD7L+C+wj+RFMZhhxzJXvUb8Nqb/Rk/4Rdmz5lB3Tr1Ob17D047pQdpadv/b/y303pSuVJl3v/wHX4e+xPly5enbesOnN79LNq37VSCTyG7u40b1jN35hQg7Az1yw+JX+50OuQ4Baiyy33263zmLFvL/o2rU7dKWVJIYemajQyfupgR0xbn2Blq9YbN/G/oNA5uVoN961emWa0KrNuUyS9zlvGtL2Lpmry3TJXCS9m6VfF/dlGwNh0Y4u45l0Pvun48QAgOvwMOIdsr/lyuKw38BLQCerr761nKRhBGS49w92+yXdeGEIjOdPfG2coGE0Zkm7j70p15rhjNQZVk1LB5dQAGDp1ewj0Ryan7oU24Y9CEku6GSA53dWsFUGT54jSCGt/lQEXg+dgJM2sEzAAGANcS5oQeG9WbBPRx93j18+Ov7j4k6wkz60IYsXwOmE0IUPPrKkJw+nnW4DSyOOrvqDjXTY6O9eKU9QOOBy4B7i9AX0REREQKRAFqfL2AdcAXccr2IgR36YT5m5WBLsBzZlbW3XtH9VaT+/zQrBZk/cbMygMvEQLT64Gr89txM6tFeEW/Bbgue7m7n5TL5bF3wHPjlH0GbCT8bBSgioiISLFRgJqNmTUFmgBD3X1dnCr7A58CPdx9eXTNRYSRzmuA3gDuvpgE80Pz4dGoD0e4+yozK8i11wOVgLfd/df8XmRmKYRFUhBG5x+9zgAAIABJREFUiXfg7qvNbAxwgJnt7e6zC9IpERERkfwqVdIdSEKx5PG5pVS6MhacRl4E1gJNzaz6ztzczGKv0Z/M/to/H9eWB2J5hAo6ynkv4dkXAA8lqBP7mRxewLZFRERE8k0Bak6xpaUzE5Qvc/epWU+4eyawKPq2fGFvbGbVCHM9J7PjKvr8Og+oCnzp7j8X4L7/B9wEbAD+5u6LElSNzaltUIi+iYiIiOSLXvHnFNsjckWC8mUJzsf2OysFhV4k9TRQC+ieYHpBXs6Mjq/kp7KZpQF9CCO266P7Ds3lktjPpFYh+iYiIiKSLwpQc4ptvJtodDm/qZEKtEjKzDoSAswFwD/N7J9ZymPbsXQ3s2aE+bH/y9qAmdUkLNbaQEjEnyszq0DYIeo4olypeQSnEHacAn1uREREpBgp0MgpluOzZq618lDQRVLRtqUAtYGeCartF31tBv6Xrew4QgD5mbsnGv2N3asqIUNBB2AOIWF/fhLr1YiORZIHVURERCQeBag5xXKB1t2VN41e8cdNcGtmtwL/JfdE/ftHx+G53SdK4j+YEJz+Bhzr7vHSSsUTy486OddaIiIiIjtBAWpO30fHA0u0FwXXMTrGS8Cf1f8RdpKaAxyey4KoeGI/k+9zrSUiIiKyExSgZuPuk8xsCtDWzCq5+8qS7lM+xbYmTbg/Y5Ql4Kro20XAY4lyrLr7DtMTomkBrYCJ7j5tp3srIiIikoAC1Pj6EfKIngy8WsJ9yVOUZL86YQHX77lU7QxkRP9uH30lkn3+7KmEKQjPx6krIiIiUmQUoMb3NHADcClRgOruM0kwRzQqb1ZcnXH3u4G7cynfSj7+t3T3T8nlGfJwKWHUtW8hrxcRERHJFyXqj8PdVwGPAAebWduS7k9JM7NOhNHXB919TUn3R0RERHZvClATexSYQOJtP/ckDxG2OX2ypDsiIiIiuz8FqAm4+wbCPMxDzaxrSfenpJjZKYRV/2e7+8aS7o+IiIjs/jQHNRfuPhYoU9L9KEnu/j5QtqT7ISIiInsOjaCKiIiISFJRgCoiIiIiSUUBqoiIiIgkFQWoIiIiIpJUFKCKiIiISFJRgCoiIiIiSUUBqoiIiIgkFQWoIiIiIpJUFKCKiIiISFJRgCoiIiIiSUUBqoiIiIgkFQWoIiIiIpJUUrZu3VrSfZA9lz58IiIiu4+UomooragaEimw9ZtLugciOZUNvxY3rdpQwh0RySm9YhnWL1tX0t0QyaFs1YwibU+v+EVEREQkqShAFREREZGkogBVRERERJKKAlQRERERSSoKUEVEREQkqShAFREREZGkogBVRERERJKKAlQRERERSSoKUEVEREQkqShAFREREZGkogBVRERERJKKAlQRERERSSoKUEVEREQkqShAFREREZGkogBVRERERJKKAlQRERERSSpp+alkZocD3xSg3cbuPrMwHcqlD7cC/wXucvc7d6KdmUDDBMWZwCpgKvAO8IS7byhA23cCdyRodykwFnje3d+Kc+0Q4LAETW8B1gAzgQ+BB9x9ZS79aAlcCBwN7A1kALOBrwjPNCkfz/IT0B6Y6O775FVfREREpKjkK0DNYg3wfj7qrS5EX3a1L4EF2c5lAI2BjtHXUWZ2grtvLmDb04ERWb4vC9QGDo7a7OjuNyS4dkR0fValCYFmJ2A/4EQz6+LuO/yczSwVuBO4hTA6PgX4HkgBWgOXARea2Xnu/kaizpvZfoTgdD3Q0swOcffv8nxqERERkSJQ0AB1sbufXSw92fXucfch8QrM7BDgE8II5JnAawVs+zt37xWn3caEAPRfZva6u/8c59r/uXv/BP3aF/iCEGxeDdyTrcrTwCWEEeBL3P2bLNemAZcDjwMvm9lSd/8sQf/Pj473EwLeSwEFqCIiIrJLaA5qHNFo4dPRt12LsN0ZwHPRt6cW4vpfgbvj9cvMuhKC0z+Aw7IGp9G1m939KULAmUYIPnMws3SgJ7AceABYBJxuZtUL2l8RERGRwijoCGqBRPM9KwANgNuAHkA9YB7wBmEUc022a6oSXlGfDtQBHLgvj/ucQBhR7Mz2+ZYDCXM1lxWy+7OiY7VCXp/I79GxYiGvT9Sv66LjPe4+L5frHwdOAcaaWTV3X5qtvCtQC3jb3deb2ZvAlcB5wKOF7LOIiIhIvhVrgBpJBQYDBxJeb/8KHAncDLQgBKIARKN03wL7EoLMj6I6bwK/xWvczO4H/k1YiPQdsAQ4IDr3NzM7opALto6PjhMKcW1uOkTHkYW8/oTouK1fZlYLOBzYCuRYgJWVu6/K0od4ekXH2LSGlwkB6iUoQBUREZFdYFcEqFUIC4/auLsDmFkr4EfgVDNrlCWAvIsQnL4NnOPuG6P6/ybOK2kzO5kQiC4EjnX3X6LzpYE+wEWEkdoD89NRMytHCIivIowkrgJ6F/yRc7SbRlgkdTZwASE4HViA6zMImQd6EeaRbgYezFKlBWG6xgx3X7wT/axFCIAXEP6owN1Hm9k4oLWZHZ5o3q6IiIhIUSlogNrQzLbmUecJd78m27m7Y8EpgLtPMLNvgWMJo3kzzawMIQBbB1waC06j+g+Y2anA/tnavTY6XhMLTqP6G83sckLapgMSrEL/xsxyew4HehVy9PU8MzsvQdlEoKu7b0pQ/qKZvZhL278Dl7n7qCzn6kbH7FkJCupsIB14NVvmgheBxwiLpYbs5D1EREREclUcaaZGxzn3Q5xz86Nj+ejYMfr31+6+PE79QWQJUKNRyYMIo4nvZa/s7pvNbABwEyFQzR6gZk0zVQE4Krr/BOAfhJX4eQXjiWRPM5UGVCWkbmoJfG9mXd19Wpxrs6aZKgv8lTDfdA5wBfBpnLRXse/TC9nfmF7RsX+2868SFkx1N7Oa7r5oJ+8jIiIiktCuSjMVL+CMBVWxTAL1ouPvcepCSFKfVXVCftC57r4+wTUzomOdOGU7pJkysxqEJPgHALcCJwIbs15gZo8BNeO0dU22V+uJ0kyVJoxEXgEMMrPW7r4lW7Ud0kyZWXngdeBkwkYFw4HsC7/+iI7x+pYvZtaBkGM1E+gdZ3R5EyGA7wU8VNj7iIiIiORlV6WZKuxIZFbZRw1T8tF2anTMczeoKMDsRpjPejTwTJxqpxJSMGX/qpBX+9E9NhKmJSwhzLU9IB/XrAH+Tpga0BZ428xSslX7lfCMe5tZ7bzaNLNLzewCM6ub5XQs92kqYcQ5+1dspPuSOPeXXWjgoPewNvsyesxPccu/HfYdF152MZ0POZBWHdrw1+OO4vb/3sX8BfPj1hcprMzMTF5/6w3OPLcHnQ7Znw5dOtHtb6fy7PN92bAh56/dDwd/xFm9etLp4M7sf9iBnHPheXzw8Ycl0HPZE2RmZvLaW69zxtl/o9OhnTnkmEO59KrLGDp8aNz6M2fP4t+33cQxJx/L/ocdwOk9z+CNd95ky5bs40iyKyRTHtS50THRNqR1s32/hDDCWdfMyia4pkl0zNfcTHdfSNhtCeACMzspW3kjd0+J8zUzP+1HbWwkJNKHkH4rP9esA84ljG4eBfwzW/kq4Ovo2+65tRX9rB4E+hEtHovm//YgBPt7x3tGwmj1YqAZcER++i1F7+exv/Df++9NWP6/fs9xyT8u4/sfRtK4UWMOPeRQAN56921OPfMMps3IvkmZSOFkZmZy5fVXc+9D9zFj5gza7NeaTh06smjRQno/24fzL72AdevXbav/1DO9ufn2W5g02Wnbph3t27TDpzi33PEfbv9vvB2iRXbO7XffwYOPPci8P+axf8fO7GMt+ennn7jy+qvo+8L/dqjrU5ye5/fk0y8+pW6duhx0wEHMXzif+x+5n//cdWsJPcGeLZkC1NGEqQAHJBgFPCHrN9EioxGEaQo5kt5Hc1Rj54fktxPu/h5hvivAU9HK/iITbUfaOPp2TgH6NZrtGQXuzjb6CfBIdLzDzHJ71X8bUIntabwgjBxXA4a7e9w+RT/vWAqrS/Pbbyk6n3/5BRdefglr166NWz512lQe7/MU5cqV4/X+r/DWK6/z9ONP8fmHn3DWmX9n6bKl3HK7ftFK0Rjw/kCGDhtKi+Yt+PDdQTz/9HM8++QzfPzeR7Rp3YZxE8bz7PMhCBg3YRx9+/2PalWr8t6bA3iuT1+eefJpPnx3EPXq1mPgoPcYOaqwmfdEcvrsy8/46JOPaNSwER+8PYjej/am71N9efOlN6hYoQLPPv8ss2aHtOJbt27l1rtuY/Wa1dxzxz289L/+PPbAo3zw9iBaNGvB4M8G8+XXX5bwE+15kiZAjQKgpwkjdS9Fcy8BMLOLCSv+s3ssOj5uZm2z1E+P2moK/JhtxXt+XA2sJYzmFtl/0aOg+R5CIvxpFDwX6u2E+aaV2B6QAuDuXxFyl9YGRphZl2z3To/Sdd1CGCn9Z5ZMCb2i45t53P/l6HhKfqYSSNGYv2A+N/7nZq68/hq2ZG6hRvX4m3oN+uhDMjMzOf+c82jXZtv/HUhPT+eWG26iWtVq/DJuLL/Py20fB5H8GfRR+Dv+putvpHat7b8Oqlapym03hV+bn37+CQAffTIYgIvPv4iGe29/SVa7Vm3+fsaZAAwbMXyX9Fv2DB9/Gj5zV19xFdWz/M5s1qQZJxx7Alu2bGHEqLCWecSoEUyeOpmO7Tty4vHbN2msVrUat9xwMwCvv/PGLuy9QMEXSdUws1fzUW+gu+c7z2cWdwOHEILRaWb2HSFI7EQI5naYs+nug8zsYeBfwGgzG8r2RP17ERZJ9ShoJ9x9lpndDdwLXG9mL7v7pAI0cUicn1MG0IUQQK4Fzo+zQCqvfq00s+sJi6Z6mNnz7v51liqxeaQ9gWFm5oS5q6mEn0lNYD1whbt/CGBm9YBjCNMH3s3j/qOiNi26V9ztUqVoPd77SQZ99AGt9t2Xe++6m7vvv5fFS5bkqJeeno61aEGnDh3jlu1Vvz5Lly1l4aKF1K9XL0cdkYKoUqUKjRs1ptW+rXKUNYqC0IWLQsKPG6/9Fz3OOJMaNWrkqBt7I5CauivScsue4pH7Hmbm7Fk0bLB3jrI12T5zw0d8D8ARh/01R912bdpRrWo1fh77M2vWrKF8+fI56kjxKOhvhPKE4CcvUylAIvoYd19nZscC1xPmXJ5E2NrzcmA1cRYVufsNZjaMsNtRR8II7Azg/4DHEqSsyo9Hoj78hZD0/8gCXNuE7fNfIYxYriE8y9uEXLHxUkzlyd3fMLOLCPNA+5hZm9hIaDQKfbaZvUXYmrQzYWrElujebwGPZ7v3uYQA9kt3z89c3VcIf0hcYmYP7EQqLsmnJo0a88Dd93Jy15MoVSrxS4+rrvgnV13xz7hla9euZer08D97ndoa/Jad1+exxHuYTPgtbHQXG1lNS0ujcaPGOeqNmzCON955k7TUNI4/5rji6ajskdLT02netFmO898OG8oXX39BuXLlOOLQEJBOmxF+NzZrkrM+QKOGjRjzyximzZhO61b7FV+nZQf5ClCjdEwFXrnt7o1yKbuIsNNT9vPrCAHQ3XEuizt66+6D2D5vtNB9ylZvIyFnab65+53AnQW5Jsu1hxegbq7BcjQ6mq+lse5+PwUYCXX3ewjTFGQXueTCi3e6jede7MfatWvZb99W1K2TffqySNHZunUrvZ99GoCjjzgqbp1b77qdyVOc3yZNpErlKjx07wP8pUWuG6eIFNr69ev5z123Mn3GdKbPnE7dOnW55467t736X7w4ZImMN8IPUKN6OL90ac43V1J8kmYOqogUj2+/G0rffs9RqlQpbrj2+pLujuzmHu/zJKPHjKZ69eqcf26vHOUbN25k0EeD+G3SRABKlUph8tQpZGZm7uKeyp5i/oL5fPnNl0yfuT2LyeSpU7b9O5ZtomyZ+AmBypYpA8DadfEXqErxUIAqshsbMvRbrrz+GjIzM7n2yqvZv1Pnku6S7MZ6P9uHfv37Ubp0aR657yGqVa2Wo05KqRS++eQrfvh2BH2feoZKFSvxzHPPcs+DidOnieyMWrVq8+1nQ/ju86E8dM+DbN68mfsfuZ8XXg67ipdKCS+IU1LivyjeGqVb37pVM9p2Jc1KlyJjZr3YnhEgTz7212Lri8C77w3kjrvvYvPmzfzj0su55IIcM2pEisTmzZu554F7eee9dylTpgyPP/goHdvnXKwHkJ6Wvu1VapcDu/DsU89w6pndGfD+QC654GLq1I638Z9I4ZXLyKBcRgYAxxx5DHVq1+Hci8+j30v96HnmWWSUC9kk420uEc6HhDcZURuyayhAlaLUiLDrlJSwx3s/yTPP9SUlJYWbb/g3vc4+t6S7JLuptWvXct1N1zPs++FUqliRJx95ImFwGs9e9feiTeu2jBw1kslTpihAlWLXulVrGtTfi9lz5zB33lxq1aiJT3YWL1kcdzHf4iXRHNXqhd5NXApBAaoUpZnAtwWor2C2iIWE03fw7nsDKF26NA/cfR8nHKvV0VI8VqxcycX/uITfJv5Gndp1eOaJPjRv1jxHvef792OiT+KWG26ierWceXxLly4NhJFYkZ21detWHu/9OH8smM+9d95DWlrOUCc9y2euaZNmfPf9MKbPmE6nDp1ytDVj1gxSU1Np2rhJjnak+ChAlSLj7v2B/vm+YP1mTegpYvc//CDvvjeAChUq8MwTvencsVPeF4kUwqZNm7ji6iv4beJvNG3SlL5PPZNw9POHH0cx4ocRdGrfgb+f8fcdylauWsm48eMAaPmXAiVOEYkrJSWFr4d+w+w5sznphBM55KBDdiifO+93Zs2aRUZGBo32bkSXA7vQ/9X+fD30G848/cwd6v4y7heWLVtGx3YdlAN1F9MiKZHdxNDh39H/1ZdJS0uj71NPKziVYtX72T6MHT+OOrXr8GLffrm+mj/j1NMAeOrZPkydNnXb+ZWrVnLz7bewfMVyjj36WOrW0et9KRqnnxI+cw88+iALFm5P8b1g4QL+feu/2Zy5mTNPO5MyZcrQsV0HmjZpyshRIxnw/oBtdZcuW8q9D90HwDlnaZrUrpaiVWmJmVl7YATQzd0/LaE+lAHGAnPdPW5SQTNLJeSUvQxoTtip6mvgdnefHKf+bYSNDBK52N2fj+peCdwBtHH333fmWXLQCGqhnHNhL0aN/pHXXnyZju07bDv/t7N7MHb8OGrXqp1rcHr5xZfQtEnTXdDTP6my4cXSplXxF0wIrFixgiNPOJr1G9azz19a0jiXV58P/Df8B/7Oe+7i3fcGkJaWRod27SmdXppxv45nxYoV7LvPvjzXpy+VKlbaVY/wp5VesQzrl60r6W4kvU2bN3Htjdfy3ffDyMjIoF2bdmRuzmT8b+NZu3Ythxx0MI898Bjp6ekAjP91PJdceWmUL3o/ataoyeifR7Ny5UpO69ad22++vYSfKPmVrZoBhciZn4he8SdgZqUJe9t/XoLBaSrwEmFr0bm5VH2esHp+MfAZ0AA4E+hqZoe6+8/Z6reLju8Rgtnspmb599PApcCLhC1RJQmtW7eO8b+G3XsWLFzAh4M/Slj3jO6nKUCVnTL+1/Gs37AegN8mTdyW0zSebQHqf+6gQ7sOvPXu24wbP44tW7fScO+GXHju+fT8e0/KRLkmRYpCelo6Tzz0BG8NeJtBHw3ip59/IiUlheZNm9PtxG6c1q37Djvz7bfvfrza7xWe/t8z/PjTj0ydPpW9G+zNVZdfRfeTTy3BJ9lzaQQ1ATO7FbgL2M/dfyuB+1clbCvaNTr1VbwRVDPrDgwAxgBHuPuK6PylwLPAOKBt1i1JzWwGUAeo6O55rkowsxMJO1Od5e5v7NSDZaURVElGGkGVJKYRVElWRT2CqjmocZhZDeBG4ONdHZyaWYqZnUV4rd8VmJ7HJf+KjtfFglMAd+8LfAm0Bg7P0n4VQjqosfkJTqO2PgJ+A+42s/T8PYmIiIhI4egVf3yXAxUJr84BMLNGwAzCaOW1wL3AsVG9SUCf2LzNbPXz46/uPiT6d0PC1IINwO3A94RAM4co2DwAWAp8F6fKe8BRwPHAN9G52Ov9n/LZt5gXgIeB04A3C3itiIiISL4pQI2vF7AO+CJO2V7AKCAdGAlUBroAz5lZWXfvHdVbTQg082NBln9vAvoBd7v7TDM7PJfrWhKG039z9y1xyidFx/2ynIsFqGvM7CXC6GotYDIhIO+ToK0PCQFqLxSgioiISDFSgJqNmTUFmgBD3T3eRJ/9gU+BHu6+PLrmIuA54BqgN4C7LwbOLuj9o5Xy+d2Tsm50/CNBeex87SznYgHqDcA84IeonQ7Ak8DhZnZG9iDV3Seb2XzgUDMr4+6aoCciIiLFQnNQc4rtbjQ2lzpXxoLTyIuE1fBNzSznNinFJ5Y1ON5KfAijwAAVspyLBahPAI3cvbu7Hwh0AmYD3YF/JGhvLJBBCNJFREREioUC1Jz2jo4zE5Qvc/esaZhw90xgUfTtrtxqIjbKmWg1fEq2I4Tgcj/gWnffFDvp7mOBq6JvEwWosTm1DQreVREREZH80Sv+nGpGxxUJypclOB9bEV8KdmqRVEGsjo4ZCcrLRsc1sRPuvgaYkKD+YCATMDMrH9XNKvYzqVWIvoqIiIjkiwLUnGJplBKNLuc3d2dhF0kVxLzomGh/wLzmqO7A3TeZ2VJCkF6OLIFtJDU66nMjIiIixUaBRk5Lo2PNXGvlobCLpAroN8Jr/pYJymPnxwOYWUNC6qot7n5x9spmVoHw3OvY/nPIqkZ0jFcmIiIiUiQ0BzWn2N71dXOtlQSiV/DDgFpmdlCcKqdEx8HRcSVwLnCRmTWLU/+c6PhlNK82u3rRcXKcMhEREZEioQA1p++j44El2ov8ezp2jHbAAsDMLiEk6R8Tm9/q7suAd6Iq/aJE/7H6HYC7CSOy92a/iZmVAjoDGyl4kn8RERGRfFOAmo27TwKmAG3NrFJJ9ycv7v4W8DbQBphsZgPN7AegL7CcMGKa1dWAA4cCU83sAzP7mpAPtSphdf/IOLfaD6gCfOXuidJaiYiIiOw0Bajx9SMsCDq5pDuSTz2B6wiLpk4A6hN2e+rs7r9mrejuiwgjofcR5pIeC7QFPgeOcPcnE9zjtOj4fIJyERERkSKRsnVrfhel7znMrCIhRdREdz+kpPtT0swslZDEfynQ2t2L5kOzfrM+fJJ8yoa1o5tWabM0ST7pFcuwflm8TQ5FSlbZqhmwY971naIR1DjcfRXwCHCwmbUt6f4kge6EBVJ3FVlwKiIiIpKAAtTEHiUktH+opDtSkswsHbgHGOzu75Z0f0RERGT3pwA1AXffQMhjeqiZdS3p/pSgfwDVgAtLuiMiIiKyZ9AcVCk5moMqyUhzUCWJaQ6qJCvNQRURERGR3ZoCVBERERFJKgpQRURERCSpKEAVERERkaSiAFVEREREkooCVBERERFJKgpQRURERCSpKEAVERERkaSiAFVEREREkooCVBERERFJKgpQRURERCSppGzdqu3QpcTowyciIrL7SCmqhtKKqiGRQiiyD/KezMx6AY2Ame7ev0Q7I5KNPp+SrPTZTG4KUEX+/HoBhwHfAv1LtCciOfVCn09JTr3QZzNpaQ6qiIiIiCQVBagiIiIiklQUoIqIiIhIUlGAKiIiIiJJRQGqiIiIiCQVBagiIiIiklQUoIqIiIhIUlGAKiIiIiJJRQGqiIiIiCQVBagiIiIiklS01anIn19/YAgws0R7IRJff/T5lOTUH302k1bK1q1bS7oPIiIiIiLb6BW/iIiIiCQVveIXKSZmdjjwTZyiTGAtMAf4Gujj7pMK0e5X7n7UzvdUdndmdidwR0GucfeU4umN7I7MLBXoCfwNaA/UIPye+w14D/ifu68ouR7Kn40CVJHitwZ4P8v3aUBloA3wT+BiM7vU3V8qic7JHmEc8Fq2c02AA4GFwBe7vEey2zCzJoTfcfsR/gD/ERgO1AbaET5n15nZae7+fYl1VP5UNAdVpJhkGemc5e6N4pSnAJcCT0WnjnX3r/PRbjlgb2CNu88psg7LHsXMegEvAt+6++El2xv5szKz+sBPhGD0LeB6d/89S3ll4EbgZmAT4ffckBLoqvzJaARVpIS4+1bgWTOrBDwAPGJm7aPzuV23Fsj3lAARkWL0EiE4fcbdr8heGL3W/4+Z/Q70Afqb2X7uvmoX91P+ZBSgipS8R4GrgLbAAcAIMxsCHAa0Ap4B9gcWARcCG8gyB9XMTgA+Br5x9yOyN25mrYDxwDh3b5Pl/P7ATcDBQEVgNvA28EDW/3hkGQl+BJhHGAkpB3zt7icV2U9BkoqZNQJmANPcvVmc8qlAU6Cxu8+Mzg0hfG4rEqavXAg0IMy3fsrdnzSzasB9QDfC52gccLO7fxfnHicAVwOdgQzCZ3Qg4TO6LEu9w9FndJeLfoccSfjddF1udd39aTM7C+gCnAM8nWUU/0rgF+BOoBNhAfcPwP+5+9A49zXgX8AxQC3C52swcI+7L8pWd1/C77kjCfNiFwFfAffGm/tvZg2B26K2awITgYeAVOAV4Hx375+lfhrhTdj5QEvCFIefgSfcfWC2tu8kzAU/KWrv30BrwsjyEOB2dx8fp0/5+l29u9EqfpES5u6bgU+jb4/MVjyQMFfwY2ALMCZOE58T5hEeZmZ14pT3iI6vxk5E/2EYDpwMTAc+AsoC/wGGR0FEdicBDxP+QzIamJLHo8me6y3gv4QA9zvCZ/gJM7sV+B7oTpinOI0QsHxtZq2zNmBm9xM+90cSPnMfEYLOfwM/RQF0dvqM7lqnRMd33H19Pur3j449s50/lhCgNeb/27vzOLvm+4/jryDErtbadx/hh4SKNRFqiSixBrU0lmrpj9qLoi2KVu2kRbShobS1/WxVSyOCWEJDLR9r7GstsW8zvz8+3zNzcnLuzL2Tydw7mffz8ZjHmXvO9yz3zJnXNFrGAAAgAElEQVTv/dzvGsHjK8Tf/Q4z659PaGabE3/b/YEPiGcE4ovMBDNbOJd2e6L5wZ5EHnk98C4RIE80s60Lx16VCIz3Az4mnrn5gCuJL1wU0vcGbgQuIJ7xccTzPQC4xsx+XeE+7J+uZX7gtvQ+tgfGm9kShXOMoPa8eqagAFWkMWTf5K2wvjewurvvCCxXLB2AlgD3KuL/eeeSY+9KBLdXAphZX+AiIgMe5O7rufvORGnYRURHhwtKjrMKcKi7b+HumxAlGCJlNgbWdfct3X0L4NC0/mTgfWAVd9/W3fsTz+VswL7Zzma2HRGIvg18x903Tc/oCsAoIpD5S8l59Yx2rfXS8uEq049Ny/6F9d8jmjmtkvK61YnSyt7kAkMzm4doUjAPsJ+7r5Wei77ApcTzcXJKuzjRMbA3sJe793P34akWaT+iRP4vZrZY7jouJpornELku7sQefJ5ufeadyIwhOhkuJK7b+3uQ9L1PA8cZ2Zbluw3DDjQ3Vd3953SOe4iguH9cu+3o3n1TEEBqkhj+CAtFy6svywbmsXdm9rY/89puWt+pZkNIDKzf+U6LvwUmJ2oTro3S+vuX6VtrwG7ps4PeV8QmWKWvq3rkZ7tYnf/d+711bnfj8lXzwN/T8t8M4LD0vLQ/HHc/UvgQKJkdH0zG1g4r57RrrVoWr5VZfo303JOM/tWbv0rwAnu/g20tM8fmbYNyKUbBiwBXOPuf8xWpv2OIoLC7LgHECXuo9x9TO4YpH0vI0owDwBIJbUDier5E7O+AOnYhwOeP4aZzUE0TficCIDfyx1/MpGXAhxRch/udfc/5NJ/CVxS8n47mlfPFBSgijSG2dOy2EFqUjU7u/vDRCnsRma2VG7TbmmZz6A3Tctpxmh19y+IUo5ZiMw67+m0XaQ9Ewqv8yX//y5sy76c9YGWNn0bAl8T42dOJdUYXJNeblLYrGe0a2UxxFdVpv8693t+nN2HSr5MZMHs3Ll1g9PyxuKB3f19d1/J3bM8b1Ba/rXCtVyVltkzlI0pfUOxo2oKUovP4tpEgPuku5cF6HcS73fjNEZs3gMl6cveb0fz6pmCOkmJNIasHdF7hfXF120ZQ1RN7QKcnYaxGg58RusHOkSnFYDHoq9BRUsXXtdyLdKzTfWsuHtzeta+KRmsvfilbCHiC9urbbRrfDEti22u9Yx2rdeI6uxizU8l2d/rM3d/L5f/fFCSNgtm8wVpi6dlNcPrZW05J1fYXnyGlknLlyukLx4nyx/XNrO2Rl6Zjcjf81/Sqn2/Hc2rZwoKUEUaQ7+0fKywvpYqyjFE+6vhwNlECcKSwFWFnp7Zt/krmTY4yHtuOq5FZn7FUqG8akvUymQla209m9m5i6Wleka71qNEyeP6lLcJLsracRbzuWoHZK8lZmnvOSo+Q73TslLNcnFmtWz/F4mOUW0pXkO177ejefVMQQGqSJ2Z2ZxANjzUnR09jru/ZGb3AINSNX/WHnVMIekbwLLAz9z91Y6eT2Z6WbBX6XNigRl03v8CXwKLm1mfCqWoK6RltW0fZca4kmj7ubuZHZvGaG5L1gGomCdVK6sGX6pso5ntRjw7txLDjRnxrLxQkrz4DGV54TIlaWHaUso30vIFd9+z7cvusB6dV6sNqkj9/S/RsP9Rd584ncfKMv5hwA5EtdJthTTZuIJDyw5gZreZ2f2pg5X0XB+n5cLFNnRpHMoZEqCmDiD3E4HxDsXtqY1qtn7sjLgGqU7qwHY9MV7o+W2lNbMfAFsQgWNHA9Sso9DWxQ3pi/6l6edrWvO5XSoca3hajk3LrJ3n90qO3atk/UNE86l1zWyRkn3WMLPnzOyatH9H9Oi8WgGqSJ2Y2Sxmti/RbvRrYrD+6fU3osrqGKJt1VWpU0neeUTp2Gn5XtBm1svMTiQGqF6eKjtoycwp9Up+jei0kR/6Zj5ae1jPKGen5TlmljV/ycadHEmMTPGQuz84g69D2vcjovRxXzO7qjgWs5n1MbOfE4FjE/ADdy9rg1mNq4kS9uFm1hJ4pi8t5xK99v+avuRcAnwC7G9mU427amb7EGOhfkgKllMv+YlEm9Ljc2l7EYPrZ+P0Zr37PyGGPJsPuNzMFsrtsxAxAcGKwMvtzQ7Yhh6dV6uKX2TGW9jM8iUGsxIlpv2IMfe+APZ29/HTeyJ3/8DMbqR1PNRpSirc/WEzO4KYwepuM3sEeIkYU29lolRgZ/WGFuIZORO4yMz2JDohDSJKV+9m2l70ncLdbzCz3xHjmD5sZuOIwGR9onr3RVonoJA6cve3UwnetUSzop3M7AGipHQB4m82L1E9/313n6ZHeg3nmpKew+uAv5rZQ0Snpv5Elf3TpLFv3f01M9ubaBs7xsyOJIYnWwVYiwhe93T313On2IcotTw5NRd4kpjNry/RTGAFpm5ffQzRm38I8LyZPZi2D0zveQJwPB3U0/NqlaCKzHhzEzOnZD/DgQ2I9kVnAqu6ezUdDKqVjYn6TKUSJnc/hxjC5EaijdM2RH5wGdCvM4Jl6f7c/SxiAP1HifEZNwRuSL+/2caunXHuo4jZdcYSQcA2wBTgJGBtd39+Rp5fqufubxCTM+xJzGy3MtEMY3Vi9rufEPlch4PT3Ln+QTx/VxN51zCisO1cYKN8h9A01ei6RJC6eEq7AFHyuba731Q49uMp/VVE4cF2RBC4E/HcQ5S6Zuk/JWa8OpzWWdE2JjotHQl8N5W0Ts/77bF5da/m5o6WPIuIiIh0f2a2ANERanLZ/PZmdgMRsPZ196eL26XzqQRVREREerpvE8NfTTSz+fMbzGwIUXL5lILTrqMSVBEREenxUvv97xFNSe4l2qmuQDQxmQJs6e5ls0DJDKASVBEREZFoa3og8ATRFnVbokPrRUB/BaddSyWoIiIiItJQVIIqIiIiIg1FAaqIiIiINBQFqCIiIiLSUDSTlMh0MrO1ibnDh6VBpLvqvGsBPwcGA/MQM52MAc4vGxw6zae+P/BjYiDtT4G7gBPd/ZmS9CcQg6JX8kN3H5XSHkxMB7iWu782HW9LRGYidcwfVwOOJQa5X5QYYP9e4HR3n5BLN4KYlrQ9L7n7cm2c75dEHri0u79aIc3CxMxS2wFLAh/Qmgc/m0u3BODAke5+URXXNlNSCarIdDCz2YErgH92cea7LfAAsAsx08ntQC/gNGCcmS1astso4A/EVJG3AZOJqQknmln/kvTZuuuI91j8eS6XdiQxs1A1Gb2I9AB1zB8HAxOJma2mADcDrxEzSd1jZrvmkj9Pef6W/byd0j3axvm2JwoL2rqm5YlZtX4KfJOu6UNgN2CCmS2XpU3Tr/4aONvMVqziLc+UVIIqMn2OJuZ23qmrTmhmCxLTmc4B/Ab4ubt/k7YdQkz5NxLYObfPjsAIIoPczN0/TOt/RASto82sn7vnh/XoD3wODHf3r9u6Jnf/xsyOAW40s907eepWEeme6pE/9iamAe0DHOzuF+S27UHknZeY2Z3u/q673wPcU+FY3wV2B14k8s+yNAcB59B+PPUnYqaqM4Bj3L3JzGYBzgayfHtYLv05wP8SeflW7Rx7pqQSVJEOStU1RwM3u/uTXXjq4cD8RHXVsVlwCuDu5wH/AHYys365fY5My8Oz4DSlvwi4A1iTaCoAtEz7txwwqb3gNHesm4AngVPSh4SI9FB1zB83A5YB7skHpwDufgVwAzAvMTNURakgYAxRM7V3Pt9M21c1s5uBC4mS0GmmR82lHQhsAox396PdvSldTxNwDFGbtVxqhpVd6+fAecCWKVDucVSCKtJxBxIZ3ahsRaqmeRG4BjgMOJX49jsv8DRwYdZus5C+Gpu6+1hgjfT6pkKJZ+ZfwJD08+8UbK4PvEd5ScF1wObA1mlfaK3en1jltWX+CPyOKDG5qsZ9JTGzocChxN/6W0T15G3Aae7+SkozGvgBsJe7jynsvydRUnSZu49I6wYTf99z07bfAQOID9axwC+L0ziaWTMwCdiCKOkZShRsPEq05butkH4y0R56c2A00Ddd+/bu/lhKMwQ4nBgIvQ/wLHA5cJ67f1k4Xl+iXd8Aos3e+8QXs9+5+/0dTZvSbwgcBWxMfOF7HbgFODXfhrDwP30t8FtgIeA/wIbu/lXx2ALUL3+cC3iY+KJeJmtvv0Q7xzuJmP70EncfX7L9D0TQeTvRtn8c8T7KZCXIZxc3uPtnwPIV9htN3KOjgDvbud6ZjgJUkY4bQWv7z6KlgAeB3sAE4gNwI6JqqU/um/3HRDunaryVllnNR6Vv7FmJZ9/cshfwZPbNvSALStbIrcsC1E/M7DKidHVRInMfRXyQlB3rRiLwGYEC1A4xsx2AvwNfEV8oPiT+HgcCO6amGG9OxynWAO4mpnG8legwtyswxMy2cPeHCunnSemXJz4k5yI+mDcxswNLOnH0IdrXZcdfDXgqvbfjgZOBL4n/j3eIAPEMYKiZbe3uX6S0K6bzLkK0t54ILAvsCGxnZkPd/fZa06b0BwHnE/9LE4BXgX7EPd7FzLZy90cK76s/sH06/hPAFAWnbRpBHfJHd7+O+NJdybppWdqRCcDMVic6k35EdGoq8xBwprvfmPZp69rWTssHU8ny94H/Sce/2d3vKtvJ3d82sweJUtQlUtvUHkMBqkgHpA/EFYBx6Rtw0XrEN/jd3f2DtM/+wCVEydgFAO7+LtGQvxaelgOJ6qWijdNykbRcPC3fqHC8bP1iuXVZgHoUUbL0QDrOOkS102Az26UYpLr7M2b2JjDIzObIgg2pye+AJqBfVqKZqv7GEB0qfgz8cjqOvxlRYjrM3aek458I/AoYZWb9C3/XFYlnoJ+7e0q/BXAT0YnjlqxUN5mbKF0c6O5fmdksqb3d5kRw+jIw1N2fSMeaG7iS6Nn8C+C4dJzjiGe4ZbSIlP4g4rn/Oa3BT9VpU4fA84n21cPc/Y60fhbgBOLeXmtmVnh+VwDOdvfDc+mlRJ3zx7auazOiV/9nxJenSk4EZgV+7+5vlyVw96NqOPVKabkq8cV9ody2w83sCmBEheZUdwMbELUSl9dwzm5P/2AiHbNJWk5qI83BWeab/IkY2mlFM1uowj7VuJr4cN01Zeot0pApO6SXc6Tl3Gn5aYXjZR8g8+TWZQHqucBy7r6ju29AlD68TJRM/aTC8SYBcxIfQlK7xYnS05ZS0tTO+OfAQUQp9fT4EtgjC06Tk4lq+zWBDUv2+WkWnKbruZ3ovDEn0cyg6PdZ6WIu2M3aQR+cBadp+ydEFelnwE/MLHtusy9W+eAX4GIiiPltbl0taQ8hPvtOyYLT7Drd/VdE8L4s0da76Nx8+pLtEuqZP5ZKzQWypjCnpeC3LN0yRP72BSVV8h00P9BM1IxMJErr5yeaVb0E7EHlIf2yezi4k66l21CAKtIxy6Tl5Arb33f3/DBMWZDxTno597S7VMfd3wB+RJSyXWJmT5nZdWb2ONEGdGRKmlU/Zh+kZe1VIar/80uI4HIN4LB8Naa7TyI+4KFygJq1GVu6ircj0xpHBH4PmdkJZraOmfVy9xfc/ffuXmu74KJ7ilWFqS3z/6WXmxTSf050LCnK1hXTQyEwSSXAg9LLfxUTu/s7xAgT89H65WhcWl5tZuea2RapVP5rdz/X3W/JHaKWtNl1/LXkuqG1aUrxfX3o7i9V2EemVrf8sUwq0f0X8UXmZmIIp0r+l6hd/vN0NqXJ60Pkr68C27j7JHef4jH01rbEsFOHmtl8Jfv22PxUVfwiHZNVn39YYfv7FdZnVTizQIc7AeDul6cOKccT1T9LEm26DiVKog4iBoGGaMcFEfSU6ZOWLYP7p1Kt/1RIfwuRoZqZze3TTgqQ3ZOysVilfQcQwV8/olTlJOBtM7sRuKikjWitnquwPit9LHYeealCW8tK6SE65OUtROvzN6Wd9npLE+0SzyTuwa7El6JDgE/N7A6i89e1uX1qSZtd7+QK58/+H7/dznuSyuqaP+aZ2bpErcNiREfDndsp/c5Kzv9c5Xmr8QnRgeqSYjW+uz9uZhOINrjrMW2b3R6bnypAFemYbBilSrUQlUorizrSSQoAdx8HbFlMZGb7pl9fTsustKz4gZtpr43qVFK7wveID6G5yAW2STZUivKXDnD3l81sHaJKbxjR9mw1YD9gXzM72N3L2h7nzdrGtm8qrO9VYXut6aG11L54PZ/SdgcWSE0bUlC8m5mdQlS5bkn00N+O6Pj0N3cfXmtapq4pKJNda7H9tKr0q1f3/BHAzLYD/kLkU1cTw0V9WUyXS78O0bzjdaCs535HvUMEqJMrbH+JCFAXLtnWY/PTHveGRTpJVpqySJup2tGRTgCpGqg/8EGqci/aLC0fTssniQ/XviVpya1/PB1/WaKTQJO7/7Dk/PMQ7/szykuVskxWJU4dlEp47ko/mNmSwMHAz4DTzexiWgOmsnx8gTYOv2SF9cumZbEdZ6XheCqlL/NfosnJbMAPPDd2b3vc/T9Eaf5JZjYvMWTPhURv+/U9N21llWlfJ0YkWJ7y0uQV0nKagEeqVrf8MWNm+xCdrmYFziKmDW0vMB6altd3chvjx4nnqtL/UlZ48E7Jth6bn6oNqkjHZGPpLd5mqhljcaIjxzSlaGa2GNFJagpRnZVV148HFk1jPxZtn5ZZO70pwN7A/ma2Ukn6vdLyjgqBRpYJP1OyTdpgZiub2WNpAPAW7v6aux8DvEt0ZvsWrU03ykrG12/jNJuY2VyF8/YiShsB/llIv4CZbVBynGzWm2L6aaRSqwnA7MA0g46b2RxmNtHM7jGz5cysl5ndYWavmVmf3HE+cvfRtD6ry9SSNi2z9qq7VLjcrKR1bHvvSyqqZ/6YTT06iohxjnD3I6oITqG1Y+e9nXxJ2YgB03S8Sx3CvkOU2Jc13+mx+akCVJGOuS8tyz64Z6jUm9qBjcysZQrBVGJ0JVGddZZPPfNJ1nFqZBqHL9vnAKIK+ZFc+9b3gb+lJJdaDPSfpV8HOIUovTu1eG1p6J0BRE/x6e3M0xO9QLQ1G5I+ZFukoZ0WJtqEvk0q8QZG5DtXmNkwKgdfEKWrI81stpS+F9HOdU1gbIVS+d8XnputieGu/ktrz+j2nJOWfzCz/8kdazZi2Ke1gXncfXIKJj4gPpxPzg/pZGZLEUOsNQETa0mbVp9PNEs43nIz9KRA90SiE9VLxDBa0jF1yx/N7NvEiACzAMe5+1k17P6dtHywky/rL0TJ/WAz+1m2Mn2huojoHHh5Ic/OZPfwvpJtMzVV8Yt0gLs/bWbPAv3MbL7CkD1dYV9ifLy/mdl4ovpnILAg0cFmquDR3a82sx2Jb/DPmNlYoqp3APHhvnfh+D8lAoZBwHNmdh9RcjeIyPgPzVet5qxBBEC3unulYa2kAnf/xsx+TMxYdJ2ZPUy0W1ucGP7pG6KXMUSbuhMBI/6m9xKlhN8hOnjsRbk3iOdgUDr+6kQb15eJ4Z6KmokP0GfN7F9Eh6eBRInPCHf/b5Xv7VozO4foyPdIOveb6XqXJqo3d8vtchTRDvdIYoKCSUTv7o2JL2G/cffna03r7hPN7DBiyKg7zOx+WgfqXzldx3A9vx1X5/zxUCIP+gpYw8wqfYG6Nt95zszmJDpSNVG5rWiHuPsUM9uNKM0/PQ0H6MSzvyTxZfPoCrsPJP7vb6mwfaalElSRjruUaN+0XXsJO5u730d8IN9BtEfdFHie6AG+c4Ve13sQU0y+TrS1WpIYUmdAflzKdPx3iOD1NCL43Yr4AP8nsJm7n1fh0rIS3VEVtks73P16YprafxDt1rYnBvq+BljP3W9K6aYQHSsuJ/LybBrSPSgp3c55kvii8SYxxM28RKnigFzAl9dENBm4gyhtXx24Htggu5Ya3tthRBOUu4m2z1sTHafOB/oXxlp9kQjK/0w0DdiWqIJ9ENg1NXmoOW1Kfz4xjNSNwCrE/3AvYtzLfu7e2SVoPVG98sfBadmbmLFpjwo/axb2y9rLvlXsad8Z3P0eYC3gMmIM1CHEEG6nARsVxoQFWobHWgu4JQ0v2KP0am6utjOdiOSlKvUXgafcfWC9r6fe0liXLxMB7ZpVtvmSLmJmg4mxIO90982r3KcZ+MbdVdsmNVH+OP3M7DdEyeqAThherttRCapIB7n7R8T4ixubWb96X08D2JFoB/grBaciPZvyx+ljMQXwPsDNPTE4BQWoItPrLGJYmzPqfSH1ZGa9idlZbnH3v9f7ekSkISh/7LijicktDmkv4cxKAarIdHD3L4hx+gaZ2Tb1vp46+gnRQWu/el+IiDQG5Y8dY2ZLEB3+DnP3F+p9PfWiNqgiIiIi0lBUgioiIiIiDUUBqoiIiIg0FA0dIiLSzZnZ2sD9wDB3/0cXnnc14FhiHN5FgQ+JaSJPrzCRQ37fXsCdwDLuXjalbjZ4+hHExAIrEZMGPA2MBi4smy/dzPYkJjNYgyiEcWJmoQvyU/OmnuUPAdu5+63F44hIfakNqohIN2ZmswOTgOfcfdsuPO9gYo7xPsBTRCC4PDGw+NfAnu5+dRv7n0F0BHm+LEA1s3mIcVu/Q4yt+yAxCP/6xOxQNwA7FYLO3xKzSn0BjEvXMZCYBe16YMf8EGhm9gdiIoS+aYpfEWkQquIXEenejiZmQ/pZewk7SxpW7DIiOD3Y3Vdz9x3cvR/Ra3tW4BIzW7hk3z5mNooITtvycyI4vRNY0d23dvfvEjNZPQsMIzc1q5mtkY75DjFRxJbuPhRYlZi6cntirN68XxAzaZ1ey/sXkRlPAaqISDeVAsCjicG8n+zCU28GLAPc4+4X5De4+xVE6ea8wFRDC5nZEOARYjiy9obP+UFaHpCfBtLdJxOlpAC75dJvQUxXOsbdn8mlfw0YmV4OKlzrW0SgvZ+ZrdLO9YhIF1IbVBGR7utAIhAcla0ws+WIKSavAQ4DTgW2SumeJtpulqWvxqbuPpaoYn8YqNTeNQsQlyisvxVoAs4Hfg+UBtWpev9Z4JUK40CWHT9rj7pkSfqsJPe9km2XEvfxcODHZdcjIl1PAaqISPc1AvgMuL1k21JEu83ewARgfmAjouq9T67k82PgiirP9xaAu18HXNdGunXT8tXC+r8DJ7n74ykwLuXuHwOb1Hj824hOVLuY2aNE4PkVUa3/U+B94I8l55poZq8De5jZwe7+VRvnFZEuogBVRKQbMrMVgRWAce7+WUmS9YgSzt2zKnIz2x+4BDgUuADA3d8l2o121nVtRvTq/4woMW3h7rt0wvHnAI5PL6/JHfspMzsAOBc4Lf1k7gP2cfdXKhx2HNFcYIP0u4jUmdqgioh0T1kJ46Q20hycb79JDLf0KbCimS3U2ReUSkXHpJenpeC3M4/fiygZXZkYOeDSQpLxwB3AJ8Bd6fePgAHAQWn/Mtk9HNyZ1ysiHacAVUSke1omLSdX2P6+uz+XX5GGZHonvZy7My8mlej+C1gcuBn4dScff1aiin4Porp+xzTXe7Z9faJJwwrA/7j7d919C6IX/yNENf+vKhw+a4O7dGdes4h0nKr4RUS6p0XS8sMK2yuN6/l1Ws4CHe4kNRUzWxe4EViMaAu6c9kg+h1lZnMDfwG2JTo6benuTxeSnUN0BNs39fQHwN1fN7PdiXFaDzOz093908K+2T1ctLOuWUSmjwJUEZHuqXdaVqoJq3YWlpo7SeWZ2XZE8DgXcDWwt7t/WeXx2mVmixElsusQnaKGuPsThTRzEtX4H7r7Q8VjuPsLZubEGKorAY8VksyalvpMFGkQ+mcUEemesiGTFmkzVTump5OUme1DdLqaFTgLODI/U9P0MrNliWYDywOPA0PdvTgyAMQIBb1oLR0uk22bvWRbW8NQiUgdqA2qiEj3lI0Fung9Tm5m2xPjr84CHOHuR3RycLog0clpeaJn/cAKwSnA20RwuZCZDSg51pJAX+BLYizYomw81WdKtolIHShAFRHpnu5Lyw26+sRm9m1iRIBZgOPc/awZcJqRRHX8o0S1fqW2tqT2rtnkA6NSQJpd68LEyAKzA39MY6wWZffwvpJtIlIHquIXEemG3P1pM3sW6Gdm87n7lC48/aHAAsRA+GuY2ZgK6a5192trPbiZ9QWGp5cfEZMLlCV9x90PS7//gmiHOhh4zszuJtrhrp+udQJwZMm5ehETGLxPDFMlIg1AAaqISPd1KXA6sB2t4492hcFp2Rv4fhvpngNqDlCJMV6zMUsHtZHuJWI6V9z9czPbEjgI2AsYSJTwPkPco3Pyw1LlbAosCJxfYbuI1EGv5uZOazIkIiJdyMzmJYaIesrdB9b7erojM7saGAas1EYbVxHpYmqDKiLSTbn7R8CZwMZm1q/e19PdpLaq2wOjFJyKNBYFqCIi3dtZwH+AM+p9Id3QqcTMWifU+0JEZGoKUEVEurHUbnJPYJCZbVPv6+kuzKw/MW3qPu5eadYtEakTtUEVERERkYaiElQRERERaSgKUEVERESkoShAFREREZGGogBVRERERBqKAlQRERERaSgKUEVERESkoShAFREREZGGogBVRERERBqKAlQRERERaSgKUEVERESkoShAFREREZGGogBVRERERBqKAlQRERERaSgKUEVERESkoShAFREREZGGMlu9L0B6sM+/bm5uzl7ELy2vm7NF2+tbFu2sLx4/d+LW9Wldc35dFdfW8Wsof4+t5y+5xjbTt25v7z4Wz1F2jKn3ry598b1RYb+mCvuVrW+qcM6mdu5nU3vrC9dW8/riPahifVMhTVPL+652ffk1dXT/adbXsH+t+05zP6d5L82l+zcXrrXW41RMn7v+5uI5C+9tmuez2vfWci1NhWtrStvT+pbXzYXXTYXramd97jztnaM17dTHqvqaKl5ry11Ji6bspqT1hdfVpK/xGM0dPmcnX3tx2dRcsq1p2jRtHaPddB08XsX0FTYTihEAAAwgSURBVN5T2XsBmm57oBedRCWoIiIiItJQFKCKiIiISENRgCoiIiIiDUUBqoiIiIg0FAWoIiIiItJQFKCKiIiISENRgCoiIiIiDUUBqoiIiIg0FAWoIiIiItJQFKCKiIiISENRgCoiIiIiDUUBqoiIiIg0FAWoIiIiItJQFKCKiIiISENRgCoiIiIiDUUBqoiIiIg0FAWoIiIiItJQFKCKiIiISENRgCoiIiIiDaVXc3Nzva9BRNphZiOA5YDJ7j66rhfTw+je14/uff3o3teP7n2Yrd4XICJVGQFsAtwNjK7rlfQ8I9C9r5cR6N7Xywh07+tlBLr3quIXERERkcaiAFVEREREGooCVBERERFpKApQRURERKShKEAVERERkYaiAFVEREREGooCVBERERFpKApQRURERKShKEAVERERkYaiAFVEREREGoqmOhXpHkYDY4HJdb2Knmk0uvf1Mhrd+3oZje59vYxG955ezc3N9b4GEREREZEWquIXERERkYaiAFVEREREGoraoIo0ADNbFjgR2ApYFHgHuBk40d3fLKRdBfgVsDGwEPAccDEw0t2buvK6uyszGwH8CRjo7uNLtm8NHAqsC8wDvAHcCpzi7q+WpF8C+AWwBbA48DIwBvitu38xg95Gt1TFvV8fOB7YkLj3rwD/B5zk7u+XpF8AOBbYAVgaeAu4BviVu0+ZQW+jWzCzWYEDgR8AfYFZgReAq4Az3P3zNvadHXgIWBNY3t0nl6TRc9+GdP9/AuwHGPAp8DBwrrvfXJK+prx9Zr//KkEVqTMz+w4wCdgXeI8ITJuAHwLjzexbubRrER8auwEvAf8gPpTPBy7v2ivvnsxsA+J+Vdp+DHALsDng6XeAHwGPmNmqhfRLAQ8ABwAfEH+/+YCTgH+YWe/Ofg/dVRX3fhhwD7AN8Cxx7/sQXxYeNLNFCunnA+4Gjib+Z25Ky8OB+81s/hnwNrqFFBzdQNzvVYEJRMebJYhnc6yZzdXGIU4mgtNKx9dz374/AecCywF3AhOBTYCbzOyEfMJa8/aecP8VoIrUkZnNAVwJzA8c4u5ruvsOwMpEKdCKwC9T2l5ERjUfsJe7b+zuOwKrAI8Be5jZTl3/LroPM9sRuI0omSvbvhpwCvAxsLG7b+Du2wMrASOBRYgPnbyRwFLACe6+trvvnNLfAQwGDpkBb6XbqeLezwZcRHwu7eTu66V7vyJwI3FPTyzsdgoRRF0CrObuuxD/D38Gsr9lT7U/Eeg/Bqzq7pu7+9ZE3nI/sB5wQtmOZrYRcGQ7x9dz3wYzGw7sRXzJXcXdt3H3LYC1gQ+BX5rZyiltR/L2mf7+K0AVqa/hxAfGFe7eUrKUqt4OI6orLa3egvgwHuvuY3Jp3wEOSi+7faY0I5jZUmZ2ORH0z0rc1zJ7pe1nufv92Up3/4ooxXsHWD81ycDMDPge8Dxwai79J0S13jfAwZ3+hrqRGu79msBiwCR3vzZbmf4XTk4vB+WOuwARhE0BjsiqQN39a+L/4X1gPzObu3PfUbcxIi0PdffXspXu/i5R7Q9RWjeVdL8uA14EXi87sJ77quyZlse4e8sz7+5PAFcQ8deWaXVNeXtPuf8KUEXqK/tWfFZxg7u/4u7fdvchaVW2vL4k7b3A28DGZjbvDLnS7u0UIvh8GFgfeLpCui+JEotxxQ0pSH0xvVwiLbcCegE3FtuIufvLwCPAsqlktqeq9t5n92/RVJqat3BavpdbNwiYE7jL3T/KJ3b3j4mSpDmJKtWe6F3iXj9Ysu2ZtFyiZNtZwPJEgPtZhWPruW/fzsAaRNv1oiyP/jota83be8T9VycpkfpamwiKJpnZ0sD3iWqa/wLXuPtDubSrp+V/KhzLiQ5WqxFtk6TV00RHkTHu3hQFENNy918QnQ6mkUqWsgw/6yjV3t/kaaKj1RrAk7Vf9kyhqnsPPEF0iFoa+LOZHU90TtuAqM5sYuovctXce4h7f0uFNDMtd9+2jc3rpuVUHf5S58ADgDPdfXwbfys99+1w9y8puT9m9j1gF6IZURaQ1pq394j7rwBVpE5S+9OliQ+JXYBLgXynhZ+Z2RnufnR6vXhavlHhkNn6xTr7Wrs7dz+9Ew7zM6L95EPu/kpap79JO6q99+7+lZntDFxLVD3nq59fB7Z293/m1uned0Bq73hSenlNbv2CRB70FDGKQlt072tgZnPS2i66L9Hbfq9c1X+t97NH3H9V8YvUz3xpuSDRQP46or3pt4gP5/eAo8zsgJQua0v3aYXjZdVxpZ1QpOPMbChwHFGKd3Ruk/4mnes5on3eN0TV9E3Eh+0SxP/Cgrm0uvcdcyrR7OEt4Izc+qwT4N5tDT+V6N7XZhmiOVff3Lr8CAm13s8ecf9VgipSP33Sci7gn+6+Z27b1Wb2MfEBfaKZXUJrG71K8xP3KiylE5jZNsDfiQ4+x7j72Nxm/U06iZktBIwHlgQ2z+5zqmm4gOgQdT2tHaV072tkZicBxwBfAMNTJxzMbHdgV2Kc34erOJTufW1eJdpRNxHD150LnG9mc7v7b6j9fvaI+68SVJH6+ST3+8jixjSQ82vEB/ZKRJsliI4fZbKA95MK26VGZrYvERT1IQaK/00hif4mnecoYrzOk/NfAtKA4wcR7fAGmtnAtEn3vkpmNpuZXUQMK/U5sIO7j0vblgAuBP5Na9V/e3Tva+Dun7j7f939fXf/G7AjEVweZ2Z9qP1+9oj7rwBVpH4+JDpIAUyukOaltFyY1iFfvl0hbXvtkqQGZnYy0SZvVuCw1IGqSH+TzjM4LW8vbkgjKNyRXvZPS937KpjZPMQ4stmA7lu5e75n+XFEs6LPgD+Z2Zjsh9Y2jGendVkVte79dHD3CcQQUfMBK1D7/ewR919V/CJ14u7fmNlTwFpEG7tJJcmyDOgdosfmUKKh/dh8otTxYVWi7V637bXZCNK9vIQYT/ALok3eXyskz3rRVhrOJftAf7zzrnCmtUBafl1he7Z+9rTUvW9HmoXudmAdYoSEoe5e7PmdtVPcIP2U2T4tRxGdqHTv25DykN8QbU/3TGPzFmVTkfam9ry9R9x/laCK1FdWkjG8uCENxrwc8W35BWLqO2j9sMjbkOjgML44JqTU7EwiOJ1ClDZVCk6h9W+ynZlNlZ+a2TJEad9L7q4vDe3LhoUaWtyQpu3cLL3MvsiNI0r9Ni8Oxp9KDTcnqkLvmSFX2+DMbHZieK11iMBmw5LgFHcf4e69yn6IUj6A5dO6sem1nvs2uHszkU/vSutg/C3MbHmiQ+wnRNOVWvP2HnH/FaCK1NcfiExqbzP7frYylXyMIv5HL0yDMd9NjBW5hZn9MJd2EVrbsJ7ZVRc+MzKzIcQMXl8D27j73W2ld/cXiQ8LI9d+LwVMo4jmAfqbVOfitPx5mmoTaJkC9QxiTMcngLugZdacy4jq6ZHZ4P5peSFRIntxD/7CdhIxMcIrwGB3f7Wd9FXTc1+V7Hk+z8yWylaa2ZLAVUQN9oVpxISa8vaecv97NTdX6gQmIl0hzdl8BZFhPUJ0jNqAaHd6FzAktcHDzAYAdxLVcg8QpauDiQ/pS9z9gOLxZVpmNpYYamegu4/PrZ9AzFH+GoWqtoJfu/tTaZ8VgHuJ5hj/IUpENiTagd0KbFehiq9HqnTv07bTiF7mzcAEYgad/kRV6VvAZvlSoTTs1H3EB/ULxP/P2kS7vkeBQWlWqR4l3ZdXiU40jxDV8qUKo4cUj/McsCJRgjq5sE3PfRvMrDfRwXIoUQgxnsjj1yPy71uIzmpfpvQ15e094f6rBFWkzlIV8rrEoNnLEPMyv018ULcEpyntg0QGdw2wMlF99BLwY1rn15YOMLO5aJ1hZ0lgjzZ+WgbAdvcXgAHAaKIqbhtiHvhjgR27+4dEV3L3Y4FtiQ5RfYkP9yZimKn+xSpLd3+P+FA+j2jLt21K/1tg054YnCYDaO3hvTZtP8sdoue+bSnf3g44hJhadhOi4OEJIr/eNgtOU/qa8vaecP9VgioiIiIiDUUlqCIiIiLSUBSgioiIiEhDUYAqIiIiIg1FAaqIiIiINBQFqCIiIiLSUBSgioiIiEhDUYAqIiIiIg1FAaqIiIiINBQFqCIiIiLSUBSgioiIiEhD+X/C3RF9uSI1hgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 648x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid_kws = {\"height_ratios\": (.9, .05), \"hspace\": .5}\n",
    "fig, (ax, cbar_ax) = plt.subplots(2, gridspec_kw=grid_kws, figsize=(9, 9))\n",
    "\n",
    "g = sns.heatmap(countdf, annot=True, annot_kws={\"size\": 22}, fmt='.0f', ax=ax,\n",
    "                linewidths=.5, cmap=\"PuBuGn\", \n",
    "                cbar_ax = cbar_ax, cbar_kws={\"orientation\": \"horizontal\"})\n",
    "\n",
    "g.set_yticklabels(corr_genes_labels)\n",
    "g.set_xticklabels(databases_labels)\n",
    "\n",
    "fig.savefig(\"plots/corr_genes.CancerMine.svg\", transparent=True, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Driver</th>\n",
       "      <th>Tumor suppressor</th>\n",
       "      <th>Oncogene</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Union</th>\n",
       "      <td>9.046064e-29</td>\n",
       "      <td>5.999063e-58</td>\n",
       "      <td>1.034341e-57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCA</th>\n",
       "      <td>4.956228e-27</td>\n",
       "      <td>7.913295e-54</td>\n",
       "      <td>6.047447e-46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonTN-BRCA</th>\n",
       "      <td>2.121915e-19</td>\n",
       "      <td>3.794457e-24</td>\n",
       "      <td>4.326309e-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN-BRCA</th>\n",
       "      <td>8.149432e-15</td>\n",
       "      <td>3.034817e-15</td>\n",
       "      <td>1.859056e-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EndoR-BRCA</th>\n",
       "      <td>2.337348e-04</td>\n",
       "      <td>7.636376e-06</td>\n",
       "      <td>1.316805e-07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Driver  Tumor suppressor      Oncogene\n",
       "Union       9.046064e-29      5.999063e-58  1.034341e-57\n",
       "BRCA        4.956228e-27      7.913295e-54  6.047447e-46\n",
       "nonTN-BRCA  2.121915e-19      3.794457e-24  4.326309e-30\n",
       "TN-BRCA     8.149432e-15      3.034817e-15  1.859056e-20\n",
       "EndoR-BRCA  2.337348e-04      7.636376e-06  1.316805e-07"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf = pd.DataFrame(pval_adjusted)\n",
    "pdf = pdf.reindex(['Union', 'BRCA', 'nonTN-BRCA', 'TN-BRCA', 'EndoR-BRCA'])\n",
    "pdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "pdf.loc['Union'] = pdf.loc['Union'].round(59)\n",
    "pdf.loc['BRCA'] = pdf.loc['BRCA'].round(55)\n",
    "pdf.loc['TN-BRCA'] = pdf.loc['TN-BRCA'].round(21)\n",
    "pdf.loc['nonTN-BRCA'] = pdf.loc['nonTN-BRCA'].round(31)\n",
    "pdf.loc['EndoR-BRCA'] = pdf.loc['EndoR-BRCA'].round(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff2171c4c88>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "render_mpl_table(pdf, header_columns=0, col_width=5.0, row_height=1.5, font_size=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CancerMine - Breast cancer associated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Driver 223\n",
      "Tumor suppressor 541\n",
      "Oncogene 653\n"
     ]
    }
   ],
   "source": [
    "cancermine_breast = pd.read_table(\"/home/singuyen/epiCa/CancerMine/cancermine_collated_v13.breast.tsv\", sep=\"\\t\", \n",
    "                                  usecols=['role', 'gene_normalized'])\n",
    "\n",
    "databases = {'Driver': set(cancermine_breast.loc[cancermine_breast['role'] == 'Driver', 'gene_normalized']), \n",
    "             'Tumor suppressor': set(cancermine_breast.loc[cancermine_breast['role'] == 'Tumor_Suppressor', 'gene_normalized']), \n",
    "             'Oncogene': set(cancermine_breast.loc[cancermine_breast['role'] == 'Oncogene', 'gene_normalized'])}\n",
    "\n",
    "for k, v in databases.items():\n",
    "    print(\"{} {}\".format(k, len(v)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "databases_labels = [k.replace(\" \", \"\\n\") + \"\\n(n=\" + str(len(v)) + \")\" for k, v in databases.items()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "fraction = {}\n",
    "count = {}\n",
    "genename = {}\n",
    "\n",
    "import scipy.stats as stats\n",
    "pval = []\n",
    "M = 26674\n",
    "\n",
    "for d, g in databases.items():\n",
    "    fraction[d] = {}\n",
    "    count[d] = {}\n",
    "    genename[d] = {}\n",
    "\n",
    "    for group, genes in corr_genes.items():\n",
    "        t = len(genes) # Try set `t=len(g)`\n",
    "        c = len(genes & g)\n",
    "        f = c/t\n",
    "        p = stats.hypergeom.sf(c - 1, M, len(g), len(genes))\n",
    "        fraction[d][group] = f\n",
    "        count[d][group] = c\n",
    "        genename[d][group] = genes & g\n",
    "        pval.append(p)\n",
    "        \n",
    "import statsmodels.stats.multitest as smm\n",
    "adjusted = smm.multipletests(pval, alpha=0.025, method='fdr_bh')[1]\n",
    "\n",
    "pval_adjusted = {}\n",
    "i=0\n",
    "for d in databases.keys():\n",
    "    pval_adjusted[d] = {}\n",
    "    for group in corr_genes.keys():\n",
    "        pval_adjusted[d][group] = adjusted[i]\n",
    "        i=i+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Driver</th>\n",
       "      <th>Tumor suppressor</th>\n",
       "      <th>Oncogene</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Union</th>\n",
       "      <td>33</td>\n",
       "      <td>86</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCA</th>\n",
       "      <td>27</td>\n",
       "      <td>69</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonTN-BRCA</th>\n",
       "      <td>18</td>\n",
       "      <td>42</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN-BRCA</th>\n",
       "      <td>14</td>\n",
       "      <td>37</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EndoR-BRCA</th>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Driver  Tumor suppressor  Oncogene\n",
       "Union           33                86        89\n",
       "BRCA            27                69        66\n",
       "nonTN-BRCA      18                42        46\n",
       "TN-BRCA         14                37        33\n",
       "EndoR-BRCA       2                 6         9"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countdf = pd.DataFrame(count)\n",
    "countdf = countdf.reindex(['Union', 'BRCA', 'nonTN-BRCA', 'TN-BRCA', 'EndoR-BRCA'])\n",
    "countdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Driver</th>\n",
       "      <th>Tumor suppressor</th>\n",
       "      <th>Oncogene</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Union</th>\n",
       "      <td>0.025483</td>\n",
       "      <td>0.066409</td>\n",
       "      <td>0.068726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCA</th>\n",
       "      <td>0.029284</td>\n",
       "      <td>0.074837</td>\n",
       "      <td>0.071584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonTN-BRCA</th>\n",
       "      <td>0.030928</td>\n",
       "      <td>0.072165</td>\n",
       "      <td>0.079038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN-BRCA</th>\n",
       "      <td>0.029661</td>\n",
       "      <td>0.078390</td>\n",
       "      <td>0.069915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EndoR-BRCA</th>\n",
       "      <td>0.019048</td>\n",
       "      <td>0.057143</td>\n",
       "      <td>0.085714</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Driver  Tumor suppressor  Oncogene\n",
       "Union       0.025483          0.066409  0.068726\n",
       "BRCA        0.029284          0.074837  0.071584\n",
       "nonTN-BRCA  0.030928          0.072165  0.079038\n",
       "TN-BRCA     0.029661          0.078390  0.069915\n",
       "EndoR-BRCA  0.019048          0.057143  0.085714"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fracdf = pd.DataFrame(fraction)\n",
    "fracdf = fracdf.reindex(['Union', 'BRCA', 'nonTN-BRCA', 'TN-BRCA', 'EndoR-BRCA'])\n",
    "fracdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "grid_kws = {\"height_ratios\": (.9, .05), \"hspace\": .5}\n",
    "fig, (ax, cbar_ax) = plt.subplots(2, gridspec_kw=grid_kws, figsize=(9, 9))\n",
    "\n",
    "g = sns.heatmap(countdf, annot=True, annot_kws={\"size\": 22}, fmt='.0f', ax=ax,\n",
    "                linewidths=.5, cmap=\"PuRd\", \n",
    "                cbar_ax = cbar_ax, cbar_kws={\"orientation\": \"horizontal\"})\n",
    "\n",
    "g.set_yticklabels(corr_genes_labels)\n",
    "g.set_xticklabels(databases_labels)\n",
    "\n",
    "fig.savefig(\"plots/corr_genes.CancerMine.BRCA.svg\", transparent=True, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Driver</th>\n",
       "      <th>Tumor suppressor</th>\n",
       "      <th>Oncogene</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Union</th>\n",
       "      <td>2.195865e-08</td>\n",
       "      <td>2.576834e-21</td>\n",
       "      <td>5.340861e-18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCA</th>\n",
       "      <td>2.885466e-08</td>\n",
       "      <td>5.081571e-20</td>\n",
       "      <td>2.613645e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonTN-BRCA</th>\n",
       "      <td>3.025538e-06</td>\n",
       "      <td>4.364579e-12</td>\n",
       "      <td>7.845303e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN-BRCA</th>\n",
       "      <td>6.013023e-05</td>\n",
       "      <td>7.298013e-12</td>\n",
       "      <td>1.246961e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EndoR-BRCA</th>\n",
       "      <td>2.191280e-01</td>\n",
       "      <td>2.165176e-02</td>\n",
       "      <td>1.286131e-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Driver  Tumor suppressor      Oncogene\n",
       "Union       2.195865e-08      2.576834e-21  5.340861e-18\n",
       "BRCA        2.885466e-08      5.081571e-20  2.613645e-14\n",
       "nonTN-BRCA  3.025538e-06      4.364579e-12  7.845303e-12\n",
       "TN-BRCA     6.013023e-05      7.298013e-12  1.246961e-07\n",
       "EndoR-BRCA  2.191280e-01      2.165176e-02  1.286131e-03"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf = pd.DataFrame(pval_adjusted)\n",
    "pdf = pdf.reindex(['Union', 'BRCA', 'nonTN-BRCA', 'TN-BRCA', 'EndoR-BRCA'])\n",
    "pdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "decimals = pd.Series([9, 22, 19], \n",
    "                     index=['Driver', 'Tumor suppressor', 'Oncogene'])\n",
    "pdf = pdf.round(decimals)\n",
    "pdf.loc['EndoR-BRCA'] = pdf.loc['EndoR-BRCA'].round(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7ff2153e1780>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "render_mpl_table(pdf, header_columns=0, header_color='#67001f', \n",
    "                 col_width=5.0, row_height=1.5, font_size=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Others"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TSGene 5196\n",
      "BRCATSGene 589\n",
      "NCG6Onco 282\n",
      "NCG6Cancer 2372\n",
      "Union 7260\n"
     ]
    }
   ],
   "source": [
    "tsg_dir='/home/singuyen/epiCa/TSGene/Human_TSGs.names.and.aliases'\n",
    "brcatsg_dir='/home/singuyen/epiCa/TSGene/BRCA_down_regulated_TSgenes.genes'\n",
    "onco_dir= '/home/singuyen/epiCa/NCG6/NCG6_oncogenes.genes'\n",
    "cancer_dir='/home/singuyen/epiCa/NCG6/NCG6_cancergenes.genes'\n",
    "\n",
    "with open(tsg_dir) as file:\n",
    "    tsg=set([line.rstrip('\\n') for line in file])\n",
    "\n",
    "with open(brcatsg_dir) as file:\n",
    "    brcatsg=set([line.rstrip('\\n') for line in file])\n",
    "\n",
    "with open(onco_dir) as file:\n",
    "    onco=set([line.rstrip('\\n') for line in file])\n",
    "\n",
    "with open(cancer_dir) as file:\n",
    "    cancergenes=set([line.rstrip('\\n') for line in file])\n",
    "\n",
    "databases={\n",
    "            'TSGene': tsg, \n",
    "            'BRCATSGene': brcatsg, \n",
    "           'NCG6Onco': onco, 'NCG6Cancer': cancergenes, 'Union': cancergenes.union(tsg, brcatsg, onco)}\n",
    "\n",
    "for k, v in databases.items():\n",
    "    print(\"{} {}\".format(k, len(v)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "fraction = {}\n",
    "count = {}\n",
    "genename = {}\n",
    "\n",
    "import scipy.stats as stats\n",
    "pvalues = {}\n",
    "M = 26674\n",
    "\n",
    "for d, g in databases.items():\n",
    "    fraction[d] = {}\n",
    "    count[d] = {}\n",
    "    genename[d] = {}\n",
    "    pvalues[d] = {}\n",
    "\n",
    "    for group, genes in corr_genes.items():\n",
    "        t = len(genes) # Try set `t=len(g)`\n",
    "        c = len(genes & g)\n",
    "        f = c/t\n",
    "        p = stats.hypergeom.sf(c - 1, M, len(g), len(genes))\n",
    "        fraction[d][group] = f\n",
    "        count[d][group] = c\n",
    "        genename[d][group] = genes & g\n",
    "        pvalues[d][group] = p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TSGene</th>\n",
       "      <th>BRCATSGene</th>\n",
       "      <th>NCG6Onco</th>\n",
       "      <th>NCG6Cancer</th>\n",
       "      <th>Union</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Union</th>\n",
       "      <td>126</td>\n",
       "      <td>78</td>\n",
       "      <td>46</td>\n",
       "      <td>262</td>\n",
       "      <td>337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCA</th>\n",
       "      <td>92</td>\n",
       "      <td>58</td>\n",
       "      <td>33</td>\n",
       "      <td>195</td>\n",
       "      <td>247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonTN-BRCA</th>\n",
       "      <td>63</td>\n",
       "      <td>38</td>\n",
       "      <td>19</td>\n",
       "      <td>117</td>\n",
       "      <td>158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN-BRCA</th>\n",
       "      <td>49</td>\n",
       "      <td>25</td>\n",
       "      <td>14</td>\n",
       "      <td>77</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EndoR-BRCA</th>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>23</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            TSGene  BRCATSGene  NCG6Onco  NCG6Cancer  Union\n",
       "Union          126          78        46         262    337\n",
       "BRCA            92          58        33         195    247\n",
       "nonTN-BRCA      63          38        19         117    158\n",
       "TN-BRCA         49          25        14          77    110\n",
       "EndoR-BRCA      15           6         6          23     34"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countdf = pd.DataFrame(count)\n",
    "countdf = countdf.reindex(['Union', 'BRCA', 'nonTN-BRCA', 'TN-BRCA', 'EndoR-BRCA'])\n",
    "countdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TSGene</th>\n",
       "      <th>BRCATSGene</th>\n",
       "      <th>NCG6Onco</th>\n",
       "      <th>NCG6Cancer</th>\n",
       "      <th>Union</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Union</th>\n",
       "      <td>0.097297</td>\n",
       "      <td>0.060232</td>\n",
       "      <td>0.035521</td>\n",
       "      <td>0.202317</td>\n",
       "      <td>0.260232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCA</th>\n",
       "      <td>0.099783</td>\n",
       "      <td>0.062907</td>\n",
       "      <td>0.035792</td>\n",
       "      <td>0.211497</td>\n",
       "      <td>0.267896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonTN-BRCA</th>\n",
       "      <td>0.108247</td>\n",
       "      <td>0.065292</td>\n",
       "      <td>0.032646</td>\n",
       "      <td>0.201031</td>\n",
       "      <td>0.271478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN-BRCA</th>\n",
       "      <td>0.103814</td>\n",
       "      <td>0.052966</td>\n",
       "      <td>0.029661</td>\n",
       "      <td>0.163136</td>\n",
       "      <td>0.233051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EndoR-BRCA</th>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.057143</td>\n",
       "      <td>0.057143</td>\n",
       "      <td>0.219048</td>\n",
       "      <td>0.323810</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              TSGene  BRCATSGene  NCG6Onco  NCG6Cancer     Union\n",
       "Union       0.097297    0.060232  0.035521    0.202317  0.260232\n",
       "BRCA        0.099783    0.062907  0.035792    0.211497  0.267896\n",
       "nonTN-BRCA  0.108247    0.065292  0.032646    0.201031  0.271478\n",
       "TN-BRCA     0.103814    0.052966  0.029661    0.163136  0.233051\n",
       "EndoR-BRCA  0.142857    0.057143  0.057143    0.219048  0.323810"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fracdf = pd.DataFrame(fraction)\n",
    "fracdf = fracdf.reindex(['Union', 'BRCA', 'nonTN-BRCA', 'TN-BRCA', 'EndoR-BRCA'])\n",
    "fracdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TSGene</th>\n",
       "      <th>BRCATSGene</th>\n",
       "      <th>NCG6Onco</th>\n",
       "      <th>NCG6Cancer</th>\n",
       "      <th>Union</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Union</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>8.050696e-16</td>\n",
       "      <td>4.904856e-13</td>\n",
       "      <td>2.659953e-38</td>\n",
       "      <td>0.846665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BRCA</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>9.506327e-13</td>\n",
       "      <td>1.106831e-09</td>\n",
       "      <td>4.001191e-31</td>\n",
       "      <td>0.629305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nonTN-BRCA</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.390584e-09</td>\n",
       "      <td>1.602271e-05</td>\n",
       "      <td>2.857454e-17</td>\n",
       "      <td>0.531283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TN-BRCA</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.894837e-05</td>\n",
       "      <td>5.489107e-04</td>\n",
       "      <td>1.393025e-07</td>\n",
       "      <td>0.977441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EndoR-BRCA</th>\n",
       "      <td>0.933856</td>\n",
       "      <td>2.906836e-02</td>\n",
       "      <td>8.884011e-04</td>\n",
       "      <td>4.058988e-05</td>\n",
       "      <td>0.140259</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              TSGene    BRCATSGene      NCG6Onco    NCG6Cancer     Union\n",
       "Union       1.000000  8.050696e-16  4.904856e-13  2.659953e-38  0.846665\n",
       "BRCA        1.000000  9.506327e-13  1.106831e-09  4.001191e-31  0.629305\n",
       "nonTN-BRCA  1.000000  3.390584e-09  1.602271e-05  2.857454e-17  0.531283\n",
       "TN-BRCA     1.000000  5.894837e-05  5.489107e-04  1.393025e-07  0.977441\n",
       "EndoR-BRCA  0.933856  2.906836e-02  8.884011e-04  4.058988e-05  0.140259"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pdf = pd.DataFrame(pvalues)\n",
    "pdf = pdf.reindex(['Union', 'BRCA', 'nonTN-BRCA', 'TN-BRCA', 'EndoR-BRCA'])\n",
    "pdf"
   ]
  }
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