{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pyupset as pyu\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "from pickle import load\n",
    "import pandas as pd\n",
    "import glob \n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "gene_table = pd.read_table('gene_presence_absence.csv', sep=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Gene', 't_centrarchi', 't_lynn', 't_maritimum', 't_mesophilum', 't_ovolyticum', 't_rebecca', 't_soleae', 't_sp47']\n"
     ]
    }
   ],
   "source": [
    "col_names = list(x for x in gene_table.columns if x.startswith('t_'))\n",
    "col_names.sort()\n",
    "\n",
    "col_names.insert(0, 'Gene')\n",
    "print(col_names)\n",
    "\n",
    "gene_table = pd.DataFrame(gene_table, columns=col_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene</th>\n",
       "      <th>t_centrarchi</th>\n",
       "      <th>t_lynn</th>\n",
       "      <th>t_maritimum</th>\n",
       "      <th>t_mesophilum</th>\n",
       "      <th>t_ovolyticum</th>\n",
       "      <th>t_rebecca</th>\n",
       "      <th>t_soleae</th>\n",
       "      <th>t_sp47</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>aadR</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>aarA</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>aarA_1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>aarA_2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>aat</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>accA</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>accA1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>accA_2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>accB</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>accC</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Gene  t_centrarchi  t_lynn  t_maritimum  t_mesophilum  t_ovolyticum  \\\n",
       "0    aadR             0       1            0             0             0   \n",
       "1    aarA             0       0            0             0             0   \n",
       "2  aarA_1             0       1            0             0             0   \n",
       "3  aarA_2             0       1            0             0             0   \n",
       "4     aat             0       1            0             0             0   \n",
       "5    accA             1       1            0             0             0   \n",
       "6   accA1             0       1            0             1             0   \n",
       "7  accA_2             0       1            0             0             0   \n",
       "8    accB             0       1            0             0             0   \n",
       "9    accC             1       1            0             0             0   \n",
       "\n",
       "   t_rebecca  t_soleae  t_sp47  \n",
       "0          1         0       0  \n",
       "1          0         1       0  \n",
       "2          1         0       0  \n",
       "3          1         0       0  \n",
       "4          1         0       1  \n",
       "5          1         0       0  \n",
       "6          1         0       0  \n",
       "7          0         0       1  \n",
       "8          0         0       0  \n",
       "9          1         1       0  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = gene_table.groupby(\"Gene\").count()\n",
    "df.reset_index(level=0, inplace=True)\n",
    "\n",
    "df[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "t_centrarchi 2475\n",
      "t_lynn 3013\n",
      "t_maritimum 141\n",
      "t_mesophilum 578\n",
      "t_ovolyticum 930\n",
      "t_rebecca 3096\n",
      "t_soleae 1428\n",
      "t_sp47 692\n"
     ]
    }
   ],
   "source": [
    "grouped_d = {}\n",
    "for spname in df.columns:\n",
    "    if spname == 'Gene':\n",
    "        continue\n",
    "    sp_df = pd.DataFrame(df, columns=[\"Gene\", spname])\n",
    "    sp_df = sp_df.loc[sp_df[spname] == 1]\n",
    "    print(spname, len(sp_df))\n",
    "    grouped_d[spname] = sp_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "keep = ['t_lynn', 't_rebecca', 't_mesophilum', 't_centrarchi', 't_soleae']\n",
    "\n",
    "keylist = list(grouped_d.keys())\n",
    "for k in keylist:\n",
    "    if k not in keep:\n",
    "        del grouped_d[k]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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SpLrPwFzEIqITsCWl9L0qc0dGRKeUUlkBW5MkSZKkOs8t2cVtJbAiIj5fZW4i8D+FaUeS\nJEmS6g8Dc/E7EngmIv620I1IkiRJUn1iYC5+ZUBz4OmI+HKhm5EkSZKk+sLAXPweA64APgU8AXyp\nsO1IkiRJUv1gYK4FUkp3A39P+UvaTj3cn4+IqRGxISJerzI3MSLWRMSiil+Dq1y7PiKWRcTSiDin\nyvxpEfF6RLwdEXfk+NsqCmvWrGHLli0ArFixgkcffZS33367wF1JkiRJKgYG5loipTQduBDY+wl+\nfBqQtZ37tpTSaRW/ZgNERHfg60B3YAhwV0RExffvBsallLoCXWv7FvHJkyczYMAA+vfvz1133cWQ\nIUOYNWsWw4YNY+bMmYVuT5IkSVKBeaxUcfsM8N7+QUrp4YhYAhx7OEVSSr+LiM4ZlyJjbhjwHyml\nPcDKiFgG9I2IVUCLlNKCiu/NAIYDzxxOL8VkypQpvPnmm3zwwQd06tSJFStW0LZtW7Zu3cqgQYMY\nO3ZsoVuUJEmSVECuMBexlNKqlNLWg+aWppR+m6db/GNELI6IeyOiZcVce2B1le+srZhrD6ypMr+m\nYq7WatKkCc2aNeOoo47i+OOPp23btgC0atWKlFKBu5MkSZJUaAbmIhMReyPi1iqfs37tycOt7gI+\nm1I6FVgP3JqHmpm2bduW07i67hcR7N69m23btvH0009XXl+/fj379u37xP06duzYsWPHjh07duy4\n9o6rckt28Qn+slU6a8t0XqSUNlUZTgF+WfF5LdCxyrUOFXOHms80adKkys99+vRh6NChuTVcDR5/\n/PHKzx06dKj8vGXLFm69tdr+/kCSJElSLRFuPS0uEfG3wJqU0oqKz5kOd1t2RHQBfplSOqVi3Dal\ntL7i8z8Bp6eULoiIE4EHgH6Ub7n+DXBCSilFxEvAlcAC4GngJ/tfFnbQvVI+/lyVlJR87O/Omzcv\np3vtf1N269atc6ojSZIkqVbKXKx0hbnIVA3CB4fi+IRJNCIeBM4EjoqIMmAiUBIRpwL7gJXAtyru\n+WZEPAy8CewGSqvc8wrgPuAIYFZWWK5NysrK+P73v8+cOXM48sgjSSnx3nvvMXDgQH784x/TpUuX\nQrcoSZIkqYBcYS5iEXE5cDrlYfYfgP8f2AaMSCnNL2Rvf01tWWH+/Oc/z9VXX82oUaNo2LAhAHv3\n7uXnP/85d9xxBy+99NJh15QkSZJUK2WuMPvSr+I2HjgFSMAPKF/ZbQv8ayGbqis2b97M6NGjK8My\nQMOGDRkzZgzvvvtuATuTJEmSVAwMzMWtC+Vbo48HjgT+HpgL9CpgT3VG7969KS0tZf78+axbt451\n69Yxf/58SktL6dXLf8SSJElSfeczzMXtCMqfI+5K+SrzbKAPMKCQTdUVM2bMYOrUqUycOJG1a8tf\n+N2hQwfOO+88xo0bl3P9NWvW0KxZM1q3bs2KFStYvHgxp5xyCl27ds25tiRJkqTq5zPMRSwilgFH\nAxuBVimlYyteyHVGSqnDX//pwqktzzBXp8mTJ3P77bfTpEkTrr76au644w6++MUv8sILLzBhwgTG\njh1b6BYlSZIk/YVvya6FplH+7HJL4LaKuTOA1wrWUR02ffp0LrroorzUmjJlCm+++SYffPABnTp1\nYsWKFbRt25atW7cyaNAgA7MkSZJUC/gMcxFLKf0QGAgMAb4XEY2BCyk/C1l5Nnny5LzVatKkCc2a\nNeOoo47i+OOPp23btgC0atWKfO3qWLNmTeX50StWrODRRx/l7bffzkttSZIkSQbmopdSei6l9Ewq\ntzul9NuU0opC96W/LiLYvXs3AE8//XTl/J/+9Cf27duXc/3JkyczYMAA+vfvz1133cWQIUOYNWsW\nw4YNY+bMmTnXlyRJkuQzzKoGtekZ5pKSEiKClBILFy6kT58+pJSICObOnfuJagKUlZXRrl07Gjdu\nfMD82rVrWbp0KWedddYnrg1w8skn8/LLLx9yy/eiRYtyqi9JkiTVMz7DLB3svvvuAyClxLnnnsu0\nadPyUrdTp06Vn/dvm27dujXt27enffv2Odffv+W7WbNm1bblW5IkSarvDMyq1zp37lz5uWnTpgeM\nc1FWVsb3v/995syZw5FHHklKiffee4+BAwfy4x//mC5duuRUf/+W78aNG1fLlm+PxJIkSZJ8hlmq\nlGuIrWr06NGMGDGC9evXs2zZMpYvX84777zD8OHDGTNmTM71H3/88crPHTr85YSxd999l1tvvTWn\n2j4fLUmSJJXzGeYiFxEDgNOBFlXnU0o3F6ajj1abnmGuLieccALLli077GufRNUt3/ng89GSJEmq\nh3yGubaJiEnAjYe4XLSBubZJKfHAAw/wxz/+kZtuuomysjLWr19P3759P3HN3r17U1paykUXXUTH\njh0BWL16NdOnT6dXr14591ydW759PlqSJEkqZ2AubuMp/5uON4B3AdNKNSgtLaVBgwbMnTuXm266\niRYtWjBy5EgWLFjwiWvOmDGDqVOnMnHiRNauXQuUb50+77zzGDduXM49jx49mquvvpoHHniAhg0b\nArB3715+/vOfM2bMGF566aVPXLu6n4+WJEmSagu3ZBexiNgGPJtSGlXoXg5HbduSfdppp7Fo0SJ6\n9erFq6++CkDPnj157bXXPnHN6ladW76r+0gsSZIkqQhlbsn2pV/F7WGgXaGbqOsaN27M3r17iSj/\n78imTZto0CC//9WYPn16Xuvt3/I9f/581q1bx7p165g/fz6lpaU5b/nu1KlTZVjesmVL5TPS7du3\nNyxLkiSpXnFLdnE7EugfEUuBV4DdFfMppZT7vl4BcOWVVzJixAg2btzIDTfcwCOPPMIPfvCDvN5j\n8uTJXHTRRXmrV51bvqv7SCxJkiSptnBLdhGLiIMfGE2UbxVIKaWGBWjpY6ltW7IB3nrrLebMmUNK\niUGDBtG9e/ec6h1s/7bv2uDzn/88V199NaNGjfrQ89F33HFHTs9HS5IkSUUqc0u2gbmIRcR9HOJF\nXymlS2q2m4+vNgbm6lBSUkJEkFJi4cKF9OnTh5QSEcHcuXPzeq/p06fnbQW7Jo/EkiRJkoqEgVk1\no7YE5iVLlnDZZZexdu1ahgwZwi233EKrVq0A6Nu3Ly+//PJh16xq1apVQPmxVeeeey6zZs2qvNa5\nc+ecah8snyvYY8aMoXXr1plHYm3evJmHH344L/eRJEmSiojnMNdGEXEK8G2gE7AK+GlK6fXCdlU3\njB8/nkmTJtG/f3/uvfdeBgwYwC9+8QuOO+44du/e/dEFPkLVUNy0adO8h+TqUt1HYkmSJEm1hYG5\niEVED+BF4Agqnl0GxkbEGSmlxQVtrg7YsWMHgwcPBuC73/0uvXv3ZvDgwcycObPyjdn5Uh0vyqq6\n5Xv58uUMHDgwL1u+mzRpwvjx4xk/fnweu5UkSZJqH7dkF7GIeBI4D3gD+G/gJOBk4JcppWGF7O2v\nqS1bsnv27Mnzzz9Py5YtK+def/11Ro4cyZYtW3j33XcPu2ZNqqkt3/l8PlqSJEkqUp7DXAv1Af4r\npXRKSukbKaUewH8Bpxe4rzrh2muvZenSpQfM9ejRgzlz5nD++efn5R4pJe6//35uvvlmoPzIplyf\njd6vc+fOdO7cmS5dulRu+d7/K58mT56c13qSJElSbWFgLm4tgD8eNPc/wKcL0Eudc8EFF9C/f/8P\nzXfq1IkpU6bk5R6lpaW8+OKLPPTQQwC0aNGCK664Ii+1q/JsZEmSJCn/fIa5uC0DRkfEa5Rvyz4J\n+Dqw9K/+lHJ2zz33cPnll+dcZ/78+SxatIhevXoB0KpVK3bt2pVz3YM99thjea1XXc9HS5IkSbWJ\ngbm43QVMAW49aP7fC9BLvZKvZ/sbN27M3r17K18itmnTJho0yN/GjpQSDzzwAH/84x+56aabKCsr\nY/369fTt2zenuvfdd19l/XPPPZdp06bloVtJkiSpdjEwF7efASdQfqzUp4APgH9LKeVnv7AOqUmT\nJnmpc+WVVzJixAg2btzIDTfcwCOPPMIPfvCDvNSG8i3fDRo0YO7cudx00020aNGCkSNHsmDBgpzq\n1tYjsSRJkqR8MjAXsYpXTV8XETcCxwCbU0r538+rD5k4cSKXXHJJznUuvPBCevfuzZw5c0gp8cQT\nT9C9e/c8dFiuJrZ8+3y0JEmS6isDc5GJiC8Ba1JKf6z4XNXx+7f2ppSer/Hm6pgePXpkzqeU2LBh\nQ97u061bN7p165a3elVV95ZvyP/z0ZIkSVJtYWAuPvOAO4DvAM8BWQ/TJvx3l7MNGzbwzDPP0KpV\nqwPmU0qcccYZOdVesmQJl112GWvXrmXIkCHccsstlffp27dv3o6Wqs4t39X1fLQkSZJUWxi6ik9w\n4KHZWQdoZx6qrcMzdOhQdu7cyamnnvqha2eeeWZOtcePH8+kSZPo378/9957LwMGDOAXv/gFxx13\nHLt3786pdlXVueW7up6PliRJkmoLA3ORSSk1yPqs/Js6deohrz344IM51d6xYweDBw8G4Lvf/S69\ne/dm8ODBzJw5s3L7dL5U15bvmjoSS5IkSSpWBrIiFhE/i4gxB82dERGlhepJH9/27dsrP5eUlPDo\no48yduxYVq1alXPtJUuW0L9/fzp27Mjll1/O1q1bK6/la8t0TTwfLUmSJBUz/99vcbsYODj9fA24\ns+Zb0eG49tprWbp06QFzPXr0YM6cOZx//vk519+/5XvJkiV07dqVAQMGsGLFCoC8bfk++PnoAQMG\nMGHChLzUliRJkmqDKD+5SMWkytuxnwMeAf6tYtwA+CHQJ6WUn4OCq0FEpHz8uSopKfnY3503b17O\n96tNevbsyWuvvVY5njdvHpdffjkzZ86ktLSURYsW5eU+b731VuXz0YMGDcrrkViSJElSEcl8btJn\nmIvTc5S/CTsBIyt+VfXHmm5I+XPPPfdw+eWX51xn+/bttGzZEvjLlu+RI0eyZcuWnGvvd/Dz0Tt3\n7qR58+Z5qy9JkiQVM7dkF6+o8p/7f+0D/ge4plBNKXf5WH2v7i3fh3LiiSdWW21JkiSp2LjCXIT2\nvx07IvYBd6SUDMh5djjbvSG/W76bNMl9N/0FF1yQOd+pUyemTJmSU+3bbrstcz6lxM6dO3OqLUmS\nJNUmrjAXt88ANxe6CeXXxIkTq7X+Pffck9PPT5gwga1bt7Jjx44Dfu3cuZN9+/blqUtJkiSp+LnC\nXNx+AHSNiDNSSnsjohHwe+APKaW/K3Bv+it69OiROZ9SYsOGDdV671y3fJ922mkMHz6c3r17f+ja\nvffem1NtSZIkqTYxMBe3IcBTKaW9ACmlPRHxh4p5FbENGzbwzDPP0KpVqwPmU0qcccYZ1XrvXLd8\nT5s2jaOOOirz2iuvvJJTbUmSJKk2MTAXt0/x4W3zUTGvIjZ06FB27tzJqaee+qFrZ555ZrXee+LE\niVxyySWf+Oc/97nPHfJamzZtPnFdSZIkqbYxMBe3lcD5EXEf8AJwBjACWFXAnvQxTJ069ZDXHnzw\nwZzrF2rLd76OxJIkSZJqAwNzcXsEuBH4zUHzDxegFxWRQm35zseRWJIkSVJtYWAubv8LGET5yvJ+\nLwD/uzDtqFgUast3Po7EkiRJkmqLcMWo+EXEF4DOlG/FfiEV+b+0iMhLi4dzVvLhnpNcyHOYa7NO\nnTpRVlZW6DYkSZKkfIusSVeYi1xEfBo4DugIPA6cEBHvpJR2FLYz1VWFPBJLkiRJKiYG5iIWEX9D\n+RbsjkACpgJvAHcA3ytga6rDCnkkliRJklRMDMzF7YdAJ+DPQJOU0vqIeAE4BwNz0art270LeSSW\nJEmSVEwMzMVtIPAs5avKV1bMvQ18rWAdqc6r7iOxJEmSpNrCwFzcjgTWHDT3qUI0ouJRnS9DkyRJ\nkvQXDQrdgP6qFcDZlD/DTESMAIZXzEuSJEmSqpGBubjdC7QHRlSMH6F8hXlKwTqSJEmSpHrCwFzc\n/h24B9hH+blg+ygPy/cUsilJkiRJqg98hrmIpZT2Av8QEddSvtK8NqW0vcBtqQ6r7W/4liRJkvLJ\nFeYiFhEnRMSXgPeAPcD/jogfRUSzArcmSZIkSXWeK8zF7W7ghJRS54h4GOgBJMrfnj2+oJ1JkiRJ\nUh3nCnN5/cW9AAAgAElEQVRxOxF4KSKOoTwsP0b5MVPnFrQrSZIkSaoHDMzF7ShgI9CV8pXlCcBT\nwLGFbEqSJEmS6gO3ZBe3bcAXKD9Kahfl5y9/Gni/kE1JkiRJUn1gYC5uv6P8DOaewNyU0t6I6A4s\nL2xbkiRJklT3GZiL2xXADqAp8M8R0RT4b8qDtCRJkiSpGhmYi1RENAEuB+aklGZWuTSuQC1JkiRJ\nUr3iS7+KVEppF3AtcEahe5EkSZKk+sjAXNyepfz5ZUmSJElSDXNLdnFbC5wbES8AzwF/2n8hpXRz\noZqSJEmSpPrAwFzc/oHy85f7A/0OumZgliRJkqRqZGAubs9THpglSZIkSTXMwFzEUkpnFroHSZIk\nSaqvfOlXkYuIT0fE30XEhIj4VER0jYgWhe5LkiRJkuo6A3MRi4i/Ad4ApgH/H9CyYnxTIfuSJEmS\npPrAwFzcfgh0AnYBpJTWAy8A5xSyKUmSJEmqDwzMxW0g5Wcx/3uVubeBzoVpR5IkSZLqDwNzcTsS\nWHPQ3KcOt0hETI2IDRHxepW5VhHx64j4Q0Q8ExEtq1y7PiKWRcTSiDinyvxpEfF6RLwdEXd8kt+Q\nJEmSJNUWBubitgI4G+gIEBEjgOEV84djGvDlg+auA55NKX0OmAtcX3GPE4GvA92BIcBdEREVP3M3\nMC6l1BXoGhEH15QkSZKkOsPAXNzuBdoDIyrGj1C+wjzlcIqklH4HbD1oehgwveLzdMqDOMBXgf9I\nKe1JKa0ElgF9I6It0CKltKDiezOq/IwkSZIk1TkG5uL278A9wD4gKv5zSsVcro5NKW2AypeJHVsx\n3x5YXeV7ayvm2nPg9vA1FXMfadu2bTmND1eh6+e7Xl2r79ixY8eOHTt27NhxMY+ranTIKyq4lNJe\n4B8i4lrKw+nalNL26rpdPotNmjSp8nOfPn0YOnRoPstLkiRJUrWLlPKak5RHEbEXuCOl9J0qc/8E\nfCOl1Pcwa3UGfplS6lExXgqcmVLaULHdel5KqXtEXAeklNItFd+bDUwEVu3/TsX8GOBvU0rjM+6V\n8vHnqqSk5GN/d968edVW+3DrV2ftw61fTP9cJEmSpCIWWZNuyS5uwYf/xX0W6J2HWr8ALq74fBHw\nZJX5MRHRJCI+AxwPvFyxbXt7RPSteAnY31X5GUmSJEmqc9ySXYQi4mdVhudUGTcAhgLvH2a9B4Ez\ngaMioozyFeMfAz+PiL+nfPX46wAppTcj4mHgTWA3UFplufgK4D7gCGBWSmn24f/uJEmSJKl2MDAX\np4spf6Y4UX6804kHXZ9zOMVSShcc4tJZh/j+j4AfZcwvBE45nHtLkiRJUm1lYC5O+497ughYCrxc\nMd5D+Wrw/ylEU5IkSZJUnxiYi1BK6RKAiOgCPJJS+mlBG5IkSZKkesjAXMRSSiUAEdEKaHHQtbKC\nNCVJkiRJ9YSBuYhFRH/gfuAzB11K+O9OkiRJkqqVoau43UP5MVIHyzwjTJIkSZKUPwbm4nYC8Abl\nb81+l/KVZUmSJElSDTAwF7fFwLKK45wkSZIkSTXIwFzcHgV+EBH7j5bavf9CSun5gnUlSZIkSfWA\ngbm4/S/Kt2H/4KB5X/olSZIkSdXM0FX8sl7w5Uu/JEmSJKmaGZiLWEqpQaF7kCRJkqT6ykAmSZIk\nSVIGV5iLUET87CO+klJK42qkGUmSJEmqpwzMxeliDn3mclRcMzBLkiRJUjUyMBen5zl0YJYkSZIk\n1QADcxFKKZ1Z6B4kSZIkqb7zpV+SJEmSJGUwMEuSJEmSlMHALEmSJElSBgOzJEmSJEkZDMySJEmS\nJGUwMEuSJEmSlMHALEmSJElSBgOzJEmSJEkZDMySJEmSJGUwMEuSJEmSlMHALEmSJElSBgOzJEmS\nJEkZDMySJEmSJGUwMEuSJEmSlMHALEmSJElSBgOzJEmSJEkZDMySJEmSJGUwMEuSJEmSlMHALEmS\nJElSBgOzJEmSJEkZDMySJEmSJGUwMEuSJEmSlMHALEmSJElSBgOzJEmSJEkZDMySJEmSJGUwMEuS\nJEmSlMHALEmSJElSBgOzJEmSJEkZDMySJEmSJGUwMEuSJEmSlMHALEmSJElSBgOzJEmSJEkZDMyS\nJEmSJGUwMEuSJEmSlMHALEmSJElSBgOzJEmSJEkZDMySJEmSJGUwMEuSJEmSlMHALEmSJElSBgOz\nJEmSJEkZDMySJEmSJGUwMEuSJEmSlMHALEmSJElSBgOzJEmSJEkZDMySJEmSJGUwMEuSJEmSlMHA\nLEmSJElSBgOzJEmSJEkZDMySJEmSJGUwMEuSJEmSlMHALKlGvffee6xYseJD86+//noBupEkSZIO\nzcAsqcY8/PDDdOvWjZEjR3LSSSexYMGCymsXX3xx4RqTJEmSMhiYJdWYH/7whyxcuJDFixczbdo0\nxo4dy+OPPw5ASqnA3UmSJEkHalToBiTVH3v37qVdu3YA9O3bl3nz5jF06FBWr15NRBS4O0mSJOlA\nrjBLqjEtWrQ44Pnldu3a8dxzz/Hkk0/yxhtvFLAzSZIk6cNcYZZUY+6++2727dt3wFyLFi2YPXs2\nDz/8cIG6kiRJkrIZmCXVmJ49e1Z+3rJlCwCtW7emcePGXHjhhYVqS5IkScrklux6LiJWRsRrEfFq\nRLxcMdcqIn4dEX+IiGciomWV718fEcsiYmlEnFO4zlUblZWVMWbMGI455hj69etH3759OfbYYxkz\nZgwrV64sdHuSJEnSAQzM2gecmVLqlVLqWzF3HfBsSulzwFzgeoCIOBH4OtAdGALcFb6pSYdh9OjR\njBgxgvXr17Ns2TKWL1/OO++8w/DhwxkzZkyh25MkSZIOYGBW8OE/B8OA6RWfpwPDKz5/FfiPlNKe\nlNJKYBnQF+lj2rx5M6NHj6Zhw4aVcw0bNmTMmDG8++67BexMkiRJ+jADsxLwm4hYEBGXVsy1SSlt\nAEgprQeOrZhvD6yu8rNrK+b+qm3btuU0PlyFrp/venWpfu/evRk3bhzz589n3bp1rFu3jmeffZbS\n0lJ69er1ifp17NixY8eOHTt27Dif46p86Ze+kFJ6JyKOAX4dEX+gPERXdfD4I02aNKnyc58+fRg6\ndGhOTapumDFjBnfeeScTJ05k7dq1ALRp04bzzz+fcePGFbg7SZIk6UCR0mFnIdVRETER2AlcSvlz\nzRsioi0wL6XUPSKuA1JK6ZaK788GJqaU5h9UJ+Xjz1VJScnH/u68efOqrfbh1q/O2odbv5j+uUiS\nJElFLPPdTG7JrsciollENK/4/GngHGAJ8Avg4oqvXQQ8WfH5F8CYiGgSEZ8BjgdertGmVadMnz79\no78kSZIkFYiBuX5rA/wuIl4FXgJ+mVL6NXALcHbF9uxBwI8BUkpvAg8DbwKzgNK8LCWr3po8eXKh\nW5AkSZIOyWeY67GU0v8Ap2bMbwHOOsTP/Aj4UTW3JkmSJEkFZ2CWVKNKSkqICFJKLF++nIEDB5JS\nIiKYO3duoduTJEmSKhmYJdWo++67D4CUEueeey7Tpk0rbEOSJEnSIRiYJdWozp07V35u2rTpAWNJ\nkiSpmPjSL0kF06VLl0K3IEmSJB2SgVlSwTz22GN5r/nee++xYsWKD82//vrreb+XJEmS6jYDs6Qa\nl1Li/vvv5+abbwagrKyMl1/O/Ujvhx9+mG7dujFy5EhOOukkFixYUHnt4osvzrm+JEmS6hcDs6Qa\nV1payosvvshDDz0EQIsWLbjiiityrvvDH/6QhQsXsnjxYqZNm8bYsWN5/PHHgfKQLkmSJB0OX/ol\nqcbNnz+fRYsW0atXLwBatWrFrl27cq67d+9e2rVrB0Dfvn2ZN28eQ4cOZfXq1UREzvUlSZJUv7jC\nLKnGNW7cmL1791aG2E2bNtGgQe7/c9SiRYsDnl9u164dzz33HE8++SRvvPFGzvUlSZJUvxiYJdW4\nK6+8khEjRrBx40ZuuOEGBgwYwIQJE3Kue/fdd7Nv374D5lq0aMHs2bP52c9+lnN9SZIk1S9uyZZU\n4y688EJ69+7NnDlzSCnxxBNP0L1795zr9uzZs/Lzli1bAGjdujWNGzfmwgsvzLm+JEmS6hcDs6Qa\ntWfPHho1akS3bt3o0KEDb731Fm3atMlL7bKyMr7//e8zZ84cjjzySFJKvPfeewwcOJAf//jHnvss\nSZKkw+KWbEk15r777qNNmzZ07dqVX/3qV/To0YNrr72Wnj17Vr4xOxejR49mxIgRrF+/nmXLlrF8\n+XLeeecdhg8fzpgxY/LwO5AkSVJ94gqzpBpz66238oc//IEdO3bQs2dPXn31VY477jg2bNjA2Wef\nzTe+8Y2c6m/evJnRo0cfMNewYUPGjBnDjTfemFNtSZIk1T8GZkk1pmHDhhx99NEcffTRNG/enOOO\nOw6ANm3a5OXYp969e1NaWspFF11Ex44dAVi9ejXTp0+vPMJKkiRJ+rgMzJJqTLt27bj++uvZsWMH\nn/vc57j66qv52te+xrPPPkunTp1yrj9jxgymTp3KxIkTWbt2LQAdOnTgvPPOY9y4cTnXlyRJUv3i\nM8ySasz999/PEUccwSmnnMKcOXM45phj+Nd//Vfee+89pk2blnP9Jk2aMH78eGbPns2SJUtYsmQJ\nv/rVrygtLaVp06Z5+B1IkiSpPnGFWVKNOeqoo5g4cWLl+IYbbqjW+02fPp2LLrqoWu8hSZKkussV\nZklF4Z577sl7zcmTJ+e9piRJkuoPA7OkopBSKnQLkiRJ0gHcki2pRr311lusXbuWfv360bx588r5\nzp0756V+SUkJEUFKieXLlzNw4EBSSkQEc+fOzcs9JEmSVD8YmCXVmJ/85Cf89Kc/pXv37owbN47J\nkyczbNgwACZMmMDgwYNzvsd9990HlK9Yn3vuuXl5mZgkSZLqJwOzpBozZcoUFi5cSPPmzVm5ciWj\nRo1i5cqVXHXVVXnbkl11pbpp06Z5W7mWJElS/WNgllRj9u3bV7kNu0uXLjz33HOMGjWKVatWVcsz\nzF26dMl7TUmSJNUfvvRLUo1p06YNixcvrhw3b96cp556is2bN7NkyZK83++xxx7Le01JkiTVHwZm\nSTVmxowZtG3b9oC5Ro0aMWPGDJ5//vm83SelxP3338/NN98MQFlZGS+//HLe6kuSJKl+MDBLqjEd\nOnT4UGDe7wtf+ELe7lNaWsqLL77IQw89BECLFi244oor8lZfkiRJ9YPPMEuqc+bPn8+iRYvo1asX\nAK1atWLXrl0F7kqSJEm1jSvMkuqcxo0bs3fvXiICgE2bNtGggf9zJ0mSpMPj/4OUVOdceeWVjBgx\ngo0bN3LDDTcwYMAAJkyYUOi2JEmSVMu4JVtSnXPhhRfSu3dv5syZQ0qJJ554gu7duxe6LUmSJNUy\nBmZJNaKkpOSwvj9v3ryc7tetWzcaNWrEa6+9Vi1nPEuSJKnuc0u2pDqjpKSEzZs3AzBz5ky+8pWv\n8Ktf/YrRo0dz5513Frg7SZIk1TauMEuqMzZt2sTRRx8NwE9+8hNefPFFjjrqKN5//3369+/Pt7/9\n7QJ3KEmSpNrEFWZJdUbjxo1Zu3YtAM2bN+fTn/40AE2bNmXv3r2FbE2SJEm1kCvMkuqM22+/nXPO\nOYeRI0dy0kknMXDgQL785S/zu9/9jksuuaTQ7UmSJKmWMTBLqjPOPPNMXnjhBR588EF27NhB7969\nOeKII7jzzjvp1q1boduTJElSLWNgllSntGzZkvHjxxe6DUmSJNUBPsMsqV645557Ct2CJEmSahkD\ns6R6wbOYJUmSdLgMzJLqhSZNmhS6BUmSJNUyBmZJ9cLEiRML3YIkSZJqGV/6JanO6NGjR+Z8SokN\nGzbUcDeSJEmq7QzMkuqMDRs28Mwzz9CqVasD5lNKnHHGGQXqSpIkSbWVgVlSnTF06FB27tzJqaee\n+qFrZ555Zl7v9e6773LUUUfltaYkSZKKi88wS6ozpk6dyoABAzKvPfjgg5+47nXXXcfmzZsBeOWV\nV/jsZz9Lv3796Ny5M7/97W8/cV1JkiQVNwOzJH2Ep59+mqOPPhqA733ve/znf/4ny5cv5ze/+Q3f\n+c53quWe7777brXUlSRJ0sdnYJakj7Bnzx727NkDwAcffMDpp58OQNeuXfnzn/+cc31XsCVJkoqT\ngVmSPkJpaSlf+cpXmDt3LoMHD+aqq67it7/9LRMnTsx8XvpwFWIFW5IkSR/Nl35J0kf49re/zSmn\nnMLdd9/NsmXL2L17N8uWLWPYsGH88z//c871969gN2rUKO8r2LNnz2bw4MEAbN++nWuuuYYFCxZw\n8sknc/vtt9OmTZuc+5ckSaqrXGGWpI+hU6dO9OnThwEDBnDWWWfx1a9+lW984xs0btw459rVuYI9\nYcKEys/f+c53aNeuHb/85S85/fTT+da3vpVr65IkSXWaK8yS6oSSkpKP/d158+YdVu3Jkyfz9NNP\n86UvfYlXXnmFXr16sXr1avr3789dd92V85FVVVew3377bfbs2cOyZcsYPnx4Xlaw93vllVdYvHgx\nAP/0T//E9OnT81ZbkiSpLjIwS9JHuPfee1m8eDENGzbkmmuu4Stf+QrPPfcc3/rWtxg2bBivvvpq\nTvV37dpFWVkZl112GWeddRYPPPAAL7zwArt37865940bN3LbbbeRUmL79u2klIgIAPbt25dzfUmS\npLrMLdmS9DHsf0v2n//8Z3bu3AmUb9POR6i95JJLePrpp5k8eTJjx47l0UcfpX///ixYsIBLL700\np9qXXXYZO3bsYOfOnVx88cWVb+Nev359ztu9X3nlFUpKSvjmN7/J6tWrOfvss2nZsiWnn356zn+J\nUBP1JUmSPoorzJL0ES699FJOP/10+vXrx3/9139x7bXXArBp0yZat26dc/0lS5bw+uuvs2fPHtq3\nb8+6deto2LAh3/zmN+nZs2dOtVu1asWIESPo2LHjAfNt27ZlxowZOdUuLS3lX/7lX9i2bRtnnHEG\nt99+O7/5zW+YM2cOpaWlvPjii0VdX5Ik6aO4wixJH+Gqq67ioYce4stf/jJPPPEEl1xyCQDHHHMM\nzz//fM719+7dy65du9ixYwfvv/8+27dvB8pXs/fu3ZtT7RtvvJF+/frxxS9+kbvuuotNmzbl3O9+\nu3fvZsiQIXzjG98gIhg1ahQAgwYN4k9/+lPR15ckSfooBmZJ+hhOOukkRo0aRbdu3fJe+5vf/Cbd\nunXj85//PLfddhsDBgzgsssu4/TTT+fiiy/OqfZnP/tZ1qxZw4033sjChQs58cQTGTx4MNOnT2fH\njh051W7cuDG//vWv+fnPf05KiSeeeAKA3/72tzRp0iSn2tVdf82aNVx66aVcd911bN++nUsuuYRT\nTjmFsWPHsnHjxpx7lyRJdYOBWZIK7Prrr2fevHm8+OKLXHbZZTz11FOcffbZ3H///Xzve9/LqXZE\n0KBBA8455xymTp3KunXrKC0tZfbs2Xz2s5/Nqfa//du/8aMf/YjHH3+c3//+9/z0pz+lZcuWXHPN\nNfz0pz/NqXZ117/44ovp2bMnRx55JP369aNbt27MmjWLvn37Mn78+Jx7nz17duXn7du3M27cOHr0\n6MEFF1zAhg0bcq4vSZJqRqSUCt2D6piISPn4c1WdxwQdTu3DrV+dtQ+3vv9c8lO7NuvVq9chX5D1\n/vvv06xZs7zeb+zYscycOTOvNauj/qmnnlp5xFanTp0oKyurvPbX/pl9XKeddhqLFi0Cyp+Bb/v/\n2Dvv8KiK/Y2/s303HUIKoaP0qkgRELyIgiAtBCk2QK7l6k8QFRW8gqD04hWvFwT12miBEBQBKVJV\nIDTpPZRQTCA9u5vs7vz+CJubcs7u2XP2QBa/n+fh0ZyZfXf2PXPOme/MnJmYGIwaNQqrVq3Ctm3b\nSkbLCYIgCIKoNDChg7ToF0EQxF3MsmXLRNOUBst9+vSpcGzLli0lx9esWVNp9Ut36j3zzDNl0pS+\nN14e2v+aIAiCIAIXCpgJgiDuYho0aKCa9qVLl9C0aVM8//zzYIyBc469e/di7NixlV6/b9++yMvL\nQ3BwMKZMmVJy/MyZM37xjPa/JgiCIIi7A3qHmSAIgpDFvn37cP/99+PDDz9EWFgYunbtCrPZjC5d\nuqBLly6VWv+DDz7AoUOHcOzYMQDFC4nNnj0bFy5cQGJiouKyq7n/NUEQBEEQtw8aYSYIgvCC2u9f\nByoajQZjxoxBQkICxowZg+joaDgcjoDQf/fdd7Flyxa4XC507doV27dvR69evTBp0iQcOHAAb7zx\nhiL9999/HydOnEBaWhratWuH4OBgAMX7Xw8dOtQfP4EgCIIgiNsABcwEQRCEImrUqIEVK1Zg7dq1\nCA0NDQj95ORk/PHHH7Db7YiJicHly5cRGhqKN954A+3bt1ccMH/yySeYP38+GjdujJEjR+Ljjz9G\n3759ARQH6z169PDHzyAIgiAIQmUoYCYIgriD3E2j17169UKvXr0CQt9gMECr1cJisaB+/folgbjZ\nbIZGo/xtpYULF2Lfvn0IDg5GamoqBg4ciNTUVLz22mug3SkIgiAIInCggJkgCOIuhrbbEsZgMJRs\nq7Vv376S49nZ2SWLcynB5XKVTMOuU6cOtm7dioEDB+LChQuKA+bdu3ejcePGCA0NhdVqxbRp07B/\n/340adIE7777LsLCwhSXnyAIgiCIYihgJgiCIP5ybN++HUajEQDKjCgXFRX5Zdun6OhoHDx4sGSB\nr+DgYPz4448YMWIEDh8+rEh7xIgROHToEADgtddeg8Viwbhx47B582YMHz4cq1atUlz+0jzzzDP4\n+uuv/ap5O7T9rb9r1y5ERESgSZMm2LZtG1JSUtCqVSt069at0uurXXa1OHHiBJKTk5GWlgYAiIuL\nQ58+fdC4ceNKrx+o2mrrB6q22vpql51QBgXMBEEQxF8Od7BcnsjISERGRirW//rrr6HTlX3E6nQ6\nfP3113jhhRcUabtcrhLtlJQU7N+/HwDQqVMnxStwl9/7mnOOX375BVlZWQCU7X2tprba+movEqem\nvtpl98SXX36J4cOHy/rs9OnTsWTJEgwePBht27YFAFy+fBlDhgzB4MGD8fbbbysqm5r6gaodyGUn\nXwg1YfQuFeFvGGPcH/VKzamkar43qvY7qeSLcn3yxT/axJ0hISEBjz/+OIYPH47hw4fjH//4B9q0\naYNTp05h2LBh2Lt3r2zt++67D02aNCmz9/WQIUOwdOlSAFC0nZea2mrrN23aVHCROKvVivbt25eM\n+FdGfbXL7olatWrh4sWLsj7boEEDHD16FHq9vszxwsJCNG3aFKdPn1ZUNjX1A1Vbbf1A1VZbX+2y\nEz4h+E4W7cNMEARBEAHEokWLsG3bNtSvXx/Hjh1Dhw4dUK9ePYwaNQqLFi1SpJ2SkqLa3tdqaqut\nr/YicWrqq132Fi1aCP5r3rw5rl+/LltXo9HgypUrFY5fvXrVL+VWUz9QtdXWD1RttfXVLjuhHJqS\nTRAEQcgikEfeA5mwsDB89dVXyMnJwfnz5+FwOFCjRg1ER0cr1lZz7+tA3rdb7UXi1NRXu+zXr1/H\nhg0bEBERUeY45xwPPvigbN158+ahW7duuPfee1GzZk0AwMWLF3HmzBnMnz9fUZnV1g9U7UAuO/lC\nqAkFzARBEAQRgISGhqJly5aqaKu5t3Yg7tut9iJxauqrXfbevXsjLy9P8P35rl27ytbt0aMHTp06\nhT179pRZCOmBBx6AVquVrXs79ANVO5DLTr4QakIBM0EQBPGXg97tloaae2sH0r7dai8Sp6a+2mVf\nvHixaNr333+vSFuj0aB9+/aKNO6UfqBqq60fqNpq66tddkIZNDGe8AnGWA/G2AnG2CnG2Lg7XR6C\nIAiCIAiCIAi1oBFmQjKMMQ2A+QC6AbgCYC9jLJlzfuLOlowgCKLyQO9fEwRBEMTdA40wE77QFsBp\nzvkFznkRgKUA+t7hMhEEQRAEQRAEQagCBcyEL8QBuFTq78u3jhEEQRAEQRAEQdx10JRsQnWysrIQ\nHh4u+281vk8Jd6K8pE/1Raoe6d95fSV40/d1undSUpJPfvi6GJovfsuZqi5VX+40eDX0S0+xl6Lf\nv39/WWWXoq92faG/6W/6m/6+W/8uDQXMhC+kAahV6u8at45VYOLEiSX/36ZNG/Tu3dvnL/OlQSNX\nWw19OQ0ONfV9wdcGsK/aUvRuh75cbTX0qb6Ia0vRo/pC9cWtLUWP6ov/y08QBHG3wzjnd7oMRIDA\nGNMCOIniRb+uAtgDYAjn/Hi5fJzqFUEQBEEQBEEQAQQTOkgjzIRkOOdOxtgrAH5G8fvvi8sHywRB\nEARBEARBEHcLNMJM+B0aYSYIgiAIgiAIIsAQHGGmVbIJgiAIgiAIgiAIQgAKmAmCIAiCIAiCIAhC\nAAqYCYIgCIIgCIIgCEIACpgJgiAIgiAIgiAIQgAKmAmCIAiCIAiCIAhCAAqYCYIgCIIgCIIgCEIA\nCpgJgiAIgiAIgiAIQgAKmAmCIAiCIAiCIAhCAAqYCYIgCIIgCIIgCEIACpgJgiAIgiAIgiAIQgAK\nmAmCIAiCIAiCIAhCAAqYCYIgCIIgCIIgCEIA3Z0uAHHXwu50AQiCIAiCIAiCIJTAOOd3ugwEQRAE\nQRAEQRAEUemgKdkEQRAEQRAEQRAEIQAFzARBEARBEARBEAQhgL/eYaZ53b5zN7/jS/WBIAiCIAiC\nIIhAQjA+oxFmgiAIgiAIgiAIghCAAmaCIAiCIAiCIAiCEIACZoIgCIIgCIIgCIIQgAJmgiAIgiAI\ngiAIghCAAmaCIAiCIAiCIAiCEIACZoIgCIIgCIIgCIIQgAJmgiAIgiAIgiAIghCAAmaCIAiCIAiC\nIAiCEIACZoIgCIIgCIIgCIIQgAJmgiAIgiAIgiAIghCAAmaCIAiCIAiCIAiCEIACZoIgCIIgCIIg\nCBD9/E4AACAASURBVIIQgAJmgiAIgiAIgiAIghCAAmaCIAiCIAiCIAiCEIACZoIgCIIgCIIgCIIQ\ngAJmgiAIgiAIgiAIghCAAmaCIAiCIAiCIAiCEIACZoIgCIIgCIIgCIIQQHenC0DcfeTn59/pIhAE\nQRAEQRAEQUgmKChI8DgFzERAwDmHy+UC5xyMMWg0GjDG/Kbt1meMlegHAoHsS0FBAXJycuB0OhEc\nHIzQ0FC/lb2oqAjZ2dmwWq0wm80ICwuDXq/3izYhDOcc2dnZyM/Ph1arRVhYGMxm850u1h3H7Ute\nXh50Ol1A+VL+OgoPD4dOR80GNXG5XCXXkV6vR1hYGEwmk9/08/PzkZubq8p9V01uhy85OTlwuVx+\n96WwsBDZ2dmw2WywWCwIDw+HVqv1i/bt9CUkJAQhISEBV18MBgNCQ0P96kteXh5yc3NLfAkNDfWb\ntpr1hZAPPfmISo3D4UB2dj6sVisKC12wWh0wm3UwGDQwmUwIDw+W3YBzuVywWm24cSMHAEd+vgNa\nLUNwsB6caxAZGQqDwaDo4VD8HVY4nU64XC5oNBpotVqYzWZFwacnX8xmE8LClPlis1qRc+MGOABH\nfj6YVgt9cDA0nCM0MlK2L06nE/v378fKlStx/PjxkiDW6XQiLCwMAwYMQLdu3UR7+Lxx6dIlJCcn\n45dffgEAaDQauFwuAEC3bt3Qt29fxMXFydJ2o9Y5DVTtvLw8bNy4EUlJScjNzYVOpwPnHA6HA02b\nNkV8fDxatWql6DuysrKwadMmpKamIj8/H0FBQahTpw66d++OsLAw2bqAur78/PPPWL16dQVfmjVr\nhvj4eLRs2VLRd6hV9tTUVCQnJ2Pbtm0lHWXujrPu3bujT58+iI2Nla2vZtkDVTsnJ6ekvuTn55ep\nLy1atEB8fDxatGgh+767e/durFy5EmfOnCm57zocDkRGRmLgwIHo2rWrooBCLV+ys7NLfCkoKIBO\np4PL5YLT6UTLli0RHx+P5s2bK/IlMTERZ8+eLeNLtWrVMHDgQHTp0kW2L+fOnUNSUhJ27dpV5jrS\naDTo0aMHevfujejoaFna2dnZ2LBhA5KTk2G1WqHVakt8adWqFeLj49GsWTNZvjgcDvz+++9YuXIl\nzp07V8aXqKgoDBw4EA899FClrC9ZWVklvthstjK+tG7dGvHx8WjatKkiXxITE5GamlrSxnI4HIiO\njsbAgQPRuXNn2b6cOXMGSUlJ+PXXX6HRaKDRaOB0OqHT6dCzZ0/06tULUVFRsrQJ5TDOuT90/CLy\nF6Pyd9HJJD8/X3F9cLlcuHbtJuz2QixZcgr//e9xpKX9b6p3bKwFTz/dCE891QhGox6xsVUl32Q5\n58jJyUNubj5+/fUqFiw4gt27r5ekG41a9O5dBy+91BxxcSGIjo6AwWDwqfxFRUUoKChAYWGhaB6D\nwQCLxeLTyGdpX7777iS+/voErlz5ny/VqwfhmWcaYdiwhjAa9YiJ8c2XvOxs5Ofl4crOnTi6cCGu\n79lTkq41mVC3d280f/llBMXGompMjE9lP3r0KKZOnQq73Q6r1SqYx2g0gnOOhIQEDB48WPJDLScn\nB1OnTsXJkyfhdDrhdDor5NFqtdBqtWjcuDHeeecdBAcHSy47oN45DVRtzjm+/fZbJCUlgTEGu90u\nmM9kMsFisWD8+PFo2LChT2U/deoUli9fjn379oExVuY3GAwGcM7Rpk0bJCQkoEGDBj5pq3mNfvPN\nN0hOTvbqS1BQEMaPH19pyp6VlYUpU6bg3LlzoteRTqcDYwwtWrTAuHHjYLFYKkXZA1Xb5XLhyy+/\nxI8//lihjpfGZDIhJCQEEyZMQP369SXr79u3D7NmzYLD4RC975pMJnDO8eyzz6JPnz6StQH1fHE6\nnfjiiy/w008/efUlNDQUEyZMQL169STrp6SkYNasWXA6nV59GT58OHr37i1Z+8aNG5g8eTIuXbqE\noqKikk7b0rivo/vvvx9vvPGG5CDL6XRi0aJFWL9+vagvjDEYjUaEhYXhvffeQ506dSSXfe/evZg9\ne7ZXXwBgxIgRePzxxyVrA+rWl4ULF+Lnn3/26kt4eDjee+891K5dW7L+7t27MWfOnJJAXwi3LyNH\njkTPnj0la6enp2Py5MlIS0vzWl/atm2L119/HUajUbI+4RtBQUGCDU8KmBVQvXp1XL16VXL+2NhY\nXLlyxf2nTwEzY8wFYCDnfJWXfF0AbAFQjXN+s9TxyQDG3/rzCOe8hS/f7wtKA2aXy4UrV9KRmHga\nH3ywB4WFFW8ebvR6Dd55pw2GDm2I2NhIr9NWOOfIyMjC+fM38dRTP5cJNoXo2jUOn37aFdHREZIf\naFarFXl5eZLyAkBwcLCkKZpuX5YvP4UpU/Z69WX8+DZ48smGqF5dmi9ZGRm4cfYsfn7qKRRcu+Yx\nf42//Q1dPvkEVWJiJN24d+/ejRkzZogGD+UxGo3o1KkTRo8e7TVovnnzJl5//XVkZWXB4XB41dbp\ndIiIiMCcOXMQEREhqTxqndNA1Xa5XJg5cyb27Nnj0zl99913cf/990vK/9NPP2Hx4sUoLCyEp+cU\nYwwGgwEjR46U3HhT05fp06cjJSXFJ18mTJiA1q1bS8qvVtn//PNPjB07tuQ1CW/o9XpERkZi9uzZ\nkqcjBmJdV1Pb6XTio48+wsGDByXXF5PJhH/+859o0cL7I3zz5s349NNPPQYnpTEajejRowdGjRol\nKb+avkyePBmHDx/2yZeJEyeiWbNmXvNu2rQJ//73v33ypVevXhgxYoTXvFeuXMEbb7yB/Px8yddR\nbGwsZs6c6XVmldPpxAcffIAjR4745MukSZPQtGlTr3k3bNiABQsW+OTLE088geeee05SfrXqi8Ph\nwMSJE3H8+HFJvrgD58mTJ6Nx48Ze869fvx4LFy70yZd+/frh6aef9pr38uXLePPNN5Gfny8YKJfH\nYDAgLi4O06dP97mzkpAGBcwqwBhD165dJeffunVr6YafWgGzDkAVzvmf5Y5bAAQDeBPAY5U1YOac\nIy0tHV9+eRTTp++T/LnXXmuJl15qibi4ah4DrKysXBw/fh39+v2I/HzvwRUANG9eFcuW9UBsbKTX\nHk9fHwhuvD0Y3L4sWnQYs2YdkKw7dmxrjBrV3KsvOZmZuH7sGNb27w9HQYEk7ciWLfHYkiWIjI31\n6MuJEycwfvx4yQ94N0ajEX369MGzzz4rmsdqtWL06NG4du2apMaJG61Wi+rVq2Pu3LleO0LUOqeB\nrL1w4UJs2LBB1jmdPn067rnnHo/53MGyL/pGo1FS0KymL//5z3+wceNGn30xmUyYMWOG1xEytcqe\nn5+PV199FRkZGZIabW50Oh1q1aqF2bNn37F7YyBrz58/H7/88ous+jJr1iyPI4cHDx7EBx98ILmR\n78ZoNGLYsGEYMGCAx3xq+jJv3jzs2LHDZ1/MZjPmzJmDmjVriubZv38/pkyZIsuXp59+Gv369RPN\nk5OTg1deeQWZmZkeO/nKo9frUa9ePUyfPt3jq1Rz5szBrl27ZPkyd+5c1KhRQzRPSkoKPvroI1m+\nSBmBV7O+zJw5E7///rssX+bNm+fxNa09e/Zg2rRpsnzx9jzKysrCK6+8guzsbJ/rS4MGDfDRRx/R\nu80qIBYwB8bKRoRkOOeO8sHyreMFt477fse6jRQUWLF//3WfgmUA+PjjQ/j11yvIzxcP9pxOJ3Jz\n8zFkyHrJwTIAHD58A+PG/Ypr1256zFdUVCTrgQAUv+9YVFQkml5QUIC9e6/5FCwDwOzZB7Bnz1UU\neAiCnU4n8nNzsWHoUMnBMgBkHDqE3959Fze9jEb/61//8vlBBgB2ux2rV69GRkaGaJ5169YhPT3d\np2AZKP7N169fx88//+wxn5rnNFC1r169ivXr18s+p59++qnHPKdOnfI5WHZrL168GKdPnxbNo6Yv\nly9fxs8//yzLF5vN5tUXNcuenJyMzMxMn4JloHhkJy0trWTNADECta6rqZ2amootW7bIvo7+85//\niKZzzjFv3jyfG/lu7W+++Qa5ubmiedT05dy5c7KCZaD4OvLki8vlUuTL119/7fF3r1ixAjk5OT4F\nP0CxnxcuXMCuXbtE85w5c0ZWsAwU+7JgwQLRdKW+fPHFFx7bGGrWl1OnTskKloFiXz7//HPRdKfT\niY8//li2L4sWLfLoy9KlS5GXlyervpw9exa7d+/2uVyEfChgrgQwxt5njB1mjH3EGMtmjF1ijA0X\nyFqLMfYLYyyfMbaNMRZbSqMdY8xV6l8VGeU4zxh7vdTfA2+NbIMxVvuW7kLGWA5j7B3G2GbG2E3G\n2FOyfng5OOe4cSMHH398UNbn//Wvg7h5M1f05pObm4/k5HPIyLD5rL12bSqs1iKvQa0SxD5f7Euu\nAl8O4cYNcV/yc3NxNikJths3fNY+/8MPKLLZRKdCnzlzBtevXxdMk8qPP/4oeNzlciEpKUnWwwwo\nXoly1apVHh9Wap3TQNZOTk72ObAqzYULF3Dp0iXR9OXLlys6p8uXLxdNV9OXNWvW+NxxU5rz588j\nLS1N1ndLQezzTqcTa9as8Xhv84TdbseKFSvoOvLx88nJyZJeIRGCc46TJ0/imkhn5eHDh2UHKEDx\n7LmNGzeKpqvpy+rVq2XXRc45jh07hj//rDBmAAA4dOiQorIzxrBp0ybBtKKiIqxfv172ObXZbEhM\nTBRNT0pKUuTLkSNHRDufDxw4AJvN93aRG8YYNm/eLJquZn1R0gbgnOPQoUO4IdL22b9/v2xtoHjR\n0a1btwqm2Ww2bNq0SbX6QvgfCpgrD40AxAF4AMAMAIsYY+VfrvgHgIkAOgKoCeC9UmkpAGIAxMN/\nU+R5OS0OYDOA9wF8COBzAP8E8I4/vqyoqAiZmbYyC3D5wsGDGbh+vUDwocI5R25uARYtOipL2+Xi\n+OKLY8jMFO51d7lcim6sQHFjXygQKSoqQkaGFSkpwo0Ab6Sk/ImMDKuoLwW5uTi2eLEsbe504vhX\nXyE3M1MwXUnjByj+7T/99JOgxsGDBxU95IHi3uvDhw8Lpql5TgNV2263K3rIA8UBWnJysmBaVlYW\n9u3b53OPuxvOOVJSUpCdnV0hTU1fbDYbNm/erChgdgeuQqhZ9j179igqN1C8jsCpU6cE0wK1rqup\nXVBQgG3btinqeOKci3Ymrly5UtG9sbCwEElJSbfdl/z8fOzcuVOxL2vXrhVMU+qL3W4X7WTdtWuX\n7PuWmytXruD8+fMVjufl5eG3335T5AsAUV8SExNV80XN+pKTk4Pff/9dse/r1q0TPJ6YmCi6wJcU\nbDYbVq5cKVi+HTt2yNZ1k5qa6rHzmfAvFDBXHpwAXuGcn+Kcf4LiALj8ChNfcM63cc4PAliC4uAa\nAMA5d96acu153rByVgNYh+LgOQnARgDSlxr0QEGBDUuXCje6pPL99yeRk1OxN9LhcCA93YozZyo2\npKWSlHQWdrvwjV/JTdWbTl6eFUuWnFSku2TJSeTlVdR2OBwouH4dOefOydY+l5QEu8jDdu/evYof\n8pxznD17tsLx3377TbHvdrsdv/32m2Camuc0ULVPnjypeFsep9Mp6vmmTZsU7/EpNgqkpi8nTpxQ\n/C6Z0+nEr7/+Kvk75SCks2vXLsX6hYWFotMDA7Wuq6l99OhRxftZOxwO0Sm8Bw/Km41UmoKCgtKL\nlJagpi9Hjhzxiy87d+6scJxzjj/++EORNlAc1Ast9rpjxw7FHbgOhwMpKSkVjv/xxx+KfSkqKhL0\nxeVy4ehReQMJpcnJyRGcTaZmffGXL0LBq9PpxLFjxxRpA0BmZibS09MrHN++fbvi+uJyuQTrC6EO\nFDBXHtI456WHL48CKL93ROmo4SYAn6ddK4VzbgdgLfX/NgDSlhr1gs1WhD//VHZzTU+3orCw4uiX\ny+XCjRvKbk7p6Vbo9RrB3kKlIzSedOx2h2Jfrl+3wmarOErrcrlg9fCOsBSs6elgIg8tfzwsGWOC\n79PdvKm8b4hzjkyR0XE1z2mgant6r9EXxOpFamqqX0YjUlNTKxxX0xc57y0KIeaLmmUXq/++QNeR\nb9q5ubmKOxIB4amqdrvdL3VRq9UKXu+B4Et+fsXdL2w2m+LOOEDcl6ysLMXaTqdT8DrKzc31i+9C\nvlitVsWdoECxL0KvAQRqfXHvha4UnU4n6IvQLChfcTgcyMnJUaxDSIMC5spN+bt7+UjQ33s5l3/K\n3ub6ofzn+OF56EFbXNwfN20Aog0d5aNuyjU8it+FqHlOA1VbbYQaLv7SUdMX1a6tWwTyOQ3Uuh7I\nnqtJIPii9vV4u2GMqfqb1DwXgVBfCEIKFDBXHuIYY6U3s2yKsiPK/iIP4iPCWSjeespNLRW+XxST\nSYfoaGWD1dWqmWE0VuwV1Gg0iIxUrl1U5BJ8cPmjhxYQftAbjTpERUnbA1qM6GhxX8zVqinSNler\nBi7ynrLUfU49wTkX3Oe1ShXlEywYY6J7Mat5TgNVOyQkxC/aYvXC2z6kUhHSUdsXfzRoxfbVVLPs\nUvci96ZL15F07ZCQEL/oC9UXo9Hol7rodDoFr/dA8EXo+jeZTH4JusR8CQ8PV6yt1WoFryN/3V+E\nfDGbzX7xxeFw3FX1JSgoSNFaHW7EfPFHfdHpdAgLC1OsQ0iDAubKgxbAx4yxBoyxVwHcD+ALqR9m\njEUwxqIBVEXxUG00YyyaMVb+TrAPQF3GWK9b6eZyab0ZY2bGWDUAz5X/Ggn/LxuLxYTBgxsq0hg6\ntCFCQio2InQ6HSIjTWjQQP5NasCA+jCZjIJp/toLT0gnONiMoUOV+TJkSEMEB1cMUnQ6HSxRUQir\nX372v3Tqx8fDKBIAtWvXTvEDTaPRoL5A+Tp27Oh1D2VvGI1GPPjgg4Jpap7TQNVu1KiR4hEDrVYr\n6nmdOnVgMBgU6RsMBsH9aSu7Lzqd7o7Uxc6dOyvu2DIYDGjfvr3k75TD3XQdNWvWTPFUVZ1Oh06d\nOgmmtW7dWnGAFRQUhOrVq1c4rqYvzZs3Vxyk6PV6QV8YY2jVqpUibaA4SIuNja1w/KGHHlJ8HWm1\nWjzwwAMVjjdv3lxxfdHr9XjooYcqHNdoNGjevLkibaA4AIyKiqpwXM360qpVK8W+GAwGdOnSRfD7\nmjVrpkgbKO7Yj4yMrHC8S5cuitsvGo1GsL4Q6kABc+XhOIAMFC/2NQ7AKM556RUHvHUBrgJwBcCK\nW3mP3Pp7bOlMnPOtAGYB+PpW+qhSyR8AsAO4fEtvWbnvKL9ittSySUKv1yM83Ij27WNkfb5162qI\nirJAr9dXSGOMITQ0CCNHNpWlrdUyDB/eGBERwiNs/hhJFdPR6/WoUsWMBx6o+DCSwgMPRKFqVbOo\nL5aQEDQZOVKWNtPp0PiZZxAiMrrUr18/we+Vil6vR69evQTfJWrRooXoiJxUQkJCRB+Kap7TQNU2\nGAx49NFHFb3bpdVq0bdvX8G0Rx55RPFoB+ccjzzySIXjavpiMpnwyCOPKPJFo9GgT58+kr9TDkI6\nbdq0UfyuXmRkJBo0aCD5O+VwN11HZrMZXbp0URRMMMbwxBNPCKbFx8fDaBTu3JWC0WhE//79BTs7\n1fTFYrGgc+fOioOs3r17Cx4fMGCAoiDFaDRiwIABgp0RDz74oOJOiho1agh29gUHB6Njx46KO58f\nf/xxwePx8fGKzqvRaER8fLzg71ezvgQHB6N9+/aKfOGco2fPnoJpSn0xmUyivoh1dvlC3bp1ERcX\np1iHkAYFzJUIzvmbnPNQznkNzvmX5dK0nPNVpf6ezTmvV+rvh2/lKf/vA4HveZtzXvVW+r9KHb/E\nOe98K60z53wK51x7K+2Ct/9XCmMMkZGhGDNGXi/w6NGtULWq+NSl4GAL+vSpi2rVfL8B9u5dByaT\nXrRhqdFo/DIyJnTjZ4yhatVQjB7dWpbua6+1QtWqoaK+BIWEoF7//jAJ9IJ6o26fPtAbjaK+1KtX\nT7A33hfEHvIajQb9+/eX7bunxo9bX61zGqjaANCnTx9FDZQ6deqgRo0agmnh4eG4//77ZTc8GWNo\n06aN4DQ1tX154oknFPlSv359wRE9QN2ya7Va9OnTR3bHltFoxMCBA0XTA7Wuq11f+vXrJzswZIyh\nUaNGgiN6QPEItpLXJzjn6N69u2Da7fBFbgcOYwxNmzYVHNEDgJYtWyp67YNzjm7dugmm6fV69OzZ\nU/Z1ZDKZPF5H/fv3l63NGEOLFi1QtWpVwfRWrVopCgw553j44YcF09SuLwMGDFDkS+vWrUVfJ7nv\nvvsUdTxxztG1a1fBNKPRiO7du8uu697qC+F/KGAmKhVmsxmtWkVh/Pg2Pn1u7NjWaNcu1uOIo1ar\nRWhoEJYu7YHgYOk32JYtIzF16oOIifH8zqzS0U5Pn7dYzLj//mi8/fb9Pmm+9dZ9aNMmBhaL+MNQ\nq9UiOCQEPZYsgc6HxkRkq1boMGUKImI8zwj4v//7P1kPHXdDXKzxAwA9e/ZEVFSUzw1PrVaLmJgY\nPProox7zqXtOA1M7JiYGvXr1kn1OX3nlFY95Bg0aJLuBZTAYMGjQINF0NX2Ji4tDjx49ZPliMpnw\nj3/8Q/Z3S8HT5/v27YuqVav6HPDrdDrUrFlTtFEo5bulcDdeR7Vq1UK3bt1k15eXX35ZNJ0xhjFj\nxsi6joxGI5599lkEBweL5lHTl7p166Jr166yfXnxxRdF05X6MmLECI8B98CBAxEWFuZzh59er0e9\nevXQsWNH0Tz16tVD586dZfvy97//XTRdo9Fg9OjRsn0ZNWrUHbuO7rnnHnTs2FGWL2azGaNGjRJN\n94cvnjoiBg8eLOv9dIPBgAYNGqBt27Y+l4uQDwXMRKWCMYbY2Eg8/XRjTJ/+IIxGz4GQwaDB5Mnt\n8fzzzVC9eqTXG09oaDDq16+KH398AjVrijcI3HTvXhPff/8YoqOreO3F1Ov1HhsZnggODvaozxhD\n9eqReO65Jvjoow6SfPnww/YYMaKpJF+Cw8IQec89eOKHHxAkYYpPrUcfxWPff48q0dFefWnQoAHe\nfvttnx5oRqMRXbp0wdChQz3mM5lMmDp1KqpUqSK5p1av1yMyMhIffvih1zKpeU4DVRsAhg8fjg4d\nOvh8Tt977z3Uq1fPY74GDRpg5MiRPjeAjEYjRo4ciXvvvVc0j9q+PP/882jXrp0sX4SmYpZGzbJb\nLBZMmzYN4eHhPl1HMTExmDJlyh29NwaqNgC8+OKLPo9imUwmvP/++6hZs6bHfC1atMBrr73mU2Pf\naDSiV69eoq9MuFHbl5dffhmtWrXy2ZdJkyaJzl5x06pVK7z66qs++9KnTx/Rqd5uQkJCMG3aNISG\nhkruxDUYDIiLi8PEiRO9fubVV19FixYtJPvCGIPZbMYHH3zgderufffdh5dfftlnX/r37y86pdmN\n2vXltddeQ7NmzXz2ZfLkyV5nwLVp0wYvvfSSz74MGDAAPXr08JgvLCwM06ZNQ0hIiE/1pWbNmvjn\nP//pt/fDCWkwPy3V/pdc77169eqCG9iLERsbiytXrrj/vLv2PShFfn6+4vrgcrlw/fpNFBYWYcWK\n0/jyy+O4cOF/ex/WqBGM4cMb48kn74XBYEBMTBXJoyOcc+Tm5iMnJw979/6JBQsOY9euq3BfChaL\nDn371sWLL7ZAVJQZMTFVfZryY7VaBffdEyM4OFjydCiXy4Vr14p9WbbsFP773xO4ePF/vtSqFYJn\nn22EJ59sAINB77Mv+bm5yMvJwfXdu3Fk4UJc3bWrJF1nsaBev35o/uKLsFSrhioxMT75cvz4cUyd\nOhUFBQWw2YT3xDYajeCcY/DgwUhISJDc85qXl4epU6fi+PHjcLlcggvH6HQ6aDQaNGvWDOPGjfNp\nap6a5zRQtTnn+P7777Fy5UowxmC32wXzmUwmBAcHY/z48R6D2fL89NNPWLx4MQoLCz2+18wYg8Fg\nwMiRI0Wn75dHbV++++47rFq1StQXxhiMRiNCQkIwfvx43HPPPZLLombZs7OzMXXqVJw6dQpOp1Nw\nQR2dTlcylfHNN9/0aSpnoNZ1te/pX3/9NdasWeO1voSFhWHChAmoW7eu5LIcPHgQM2fORGFhoeg+\n3+73eocPH45evXpJ1lbbl6+++go//vijV1/Cw8MxYcIEr51Opdm/fz9mzZqFoqIir76MHDnSa1BY\nmszMTEyZMgXnz5+Hw+EQXBDQ/exs27YtXn/9dcnBnsvlwhdffIGffvrJqy8RERGYMGECateuLbns\n+/btw6xZs+BwOLz6MmrUKDz22GOStdWsL06nE4sXL8a6devAGENhYWGFPG5fqlSpgvfee89rp1Np\n9u7dizlz5nj1hTGGUaNGeZ29VpqMjAxMmTIFly5dQlFRkcf68uCDD/rcEUb4RlBQkGDDkwLmOwcF\nzBJwOp3Izs5DQYEVTieHzeaAyaSDTlfcQxgaGiT7HRDOOaxWKzIycqDVAvn5Dmi1DGazDoAGkZFh\n0Ov1st6nLCoqQkFBgeBN243BYIDFIrxImTfEfNFqGSwWM8LCgmX3PrpcLthsNuRkZABaLRz5+WBa\nLXRmM7QAQiMjZfvicrlw6NAhrFy5EgcPHiyTFh0djfj4eDz88MOy36dKS0vDDz/8gLVr15YEWe6H\n5KOPPoonnnhC9jvVap7TQNUGgIKCAmzevBmrVq1Cenp6mbT7778f8fHxaN68uaz6cvr0aSxfvhwp\nKSkVGkEGgwGcc7Rp0waDBg3yKRgH1PclPz+/xJeMjIwyaW3atMGAAQNk+6J22S9duoQ1a9Zg/fr1\nZa4jk8mEHj16oHfv3oiOjvZZV+2yB6o2UNzpt2nTJqxatQo3b94sk/bAAw8gPj4eTZs2lVVfnE4n\n9u3bh8TERBw7dqxMWlxcHBISEmRP970dvmzcuBFJSUkVfGnXrh0GDBiAJk2ayPYlJSUFK1euLblj\ncgAAIABJREFUrOBLjRo1kJCQgE6dOsl+jzU1NRVr1qzBxo0by1xHZrMZjz/+OHr37u3xlSNP5Obm\nlviSmZlZJq19+/YYMGAAGjduLNuXvXv3IjExESdOnCiTVrNmTQwcOBCdO3eWFbSpXV9ycnKwceNG\nrF69uoIvHTp0wIABA9CoUSPZvuzZsweJiYk4efJkmbRatWohISEBHTt2lB3Mnj9/HqtXr8aWLVvK\n1BeLxYLevXujZ8+esusLIR0KmCsfFDD7AOe85B9jrOSfv7WB4vdW/KXtcrlgtVrhdDpLyq7VamE2\nm/2yf2Cg+gIA48aNw9GjRwEAjRs3xowZM/ym//bbb+PIkSMAirf8mT59ut+mL6l5TgNVGyiuL2+9\n9RaOHz8OAGjatCmmT5+uWBcoHvnctGkTUlNTkZ+fj6CgINSpUwePPPKI4n0oA9kXtcte/hqdNm0a\nXUcBXF8A4K233ioJDps0aYIZM2b4RZd8EUfN6yhQfaH6Io6a9YXwjljArGwvCYK4TfgzELyd2hqN\nRtGqnN4IVF/c+m60Wq1q36XT6fz6sFHznAaqNoCSBk/pv/1FWFgY4uPj/aZXmkD25XaU3Y1Wq6Xr\nSGVtQN36AqBMMOKPwKS0FvkijJrXUaD6QvVFHDXrCyEfWvSLIAiCIAiCIAiCIASgEWbC76jZa0jc\nPZTuNdVqtX6tN2pqE+KQ78IEqi+BWu5Ah+6NwgSqL2p7HshlV5NA9SWQPb+boYCZCAjcKx+7XC5o\nNJqSFY/9Aee8zEqWWq1W9kJitxs1fSGEcTqduHLlCvLy8qDT6RAREREwC3Hk5eUhPT0dVqsVZrMZ\n0dHRivfIdONwOMqs2FpUVOQX3dL67lWb3XXdX9PsAtmXQMXhcJRcRwaDAVWqVEGVKp73uveFP//8\nE1lZWXC5XAgJCUFMTAxNbUTZ+me320ueHf4gNzcX6enpsNlssFgsiI6Olr2A4+2Ec15mESp/+1J6\ntXmbzVZyn/EHRUVFZe4vQjtEyEVtX3JycpCRkUH1hQgIAiMqIP6y2O123Lx+HVabDfbMTDgKCqCz\nWGCMiIDJaESV6GgYjUZZDWeHw4GcrCxk3biBooICFOXmgmm1MEZEQKfTIbJ6dQQFBSlqlDudTuTm\n5pZsFaDRaKDX633ad6887pu1mC9mkwlVoqNhMBgUlT0zMxPr16/HuXP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tZJCCJ18C9TrK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Rdf/BH/+c9pPHyYU2WVlQ2UUjx8+BgnTtxHly7bsXDhaQtnGQCOH8/Cm2/+iiFD9uDevccoLtZy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\n56VNmzZ06tSpyePRXusWLM55550X9X0f7XY7N910k+m2tLQUJ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QZKKQfwD8Du+1mstf6V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\nFkIIIYQQQgghTPx/zu4hggLq8zQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1098055f8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pplot=pyu.plot(grouped_d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}