3/classification.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda3\\envs\\jenv\\lib\\site-packages\\h5py\\__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "from keras.utils.np_utils import to_categorical\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import confusion_matrix, accuracy_score\n",
    "from sklearn.preprocessing import QuantileTransformer\n",
    "from sklearn import tree\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
    "    \n",
    "%matplotlib inline\n",
    "\n",
    "plt.rcParams[\"axes.grid\"] = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>followers</th>\n",
       "      <th>followings</th>\n",
       "      <th>follow ratio</th>\n",
       "      <th>muters</th>\n",
       "      <th>reputation</th>\n",
       "      <th>effective sp</th>\n",
       "      <th>own sp</th>\n",
       "      <th>sp ratio</th>\n",
       "      <th>curation_rewards</th>\n",
       "      <th>posting_rewards</th>\n",
       "      <th>witnesses_voted_for</th>\n",
       "      <th>posts</th>\n",
       "      <th>average_post_len</th>\n",
       "      <th>comments</th>\n",
       "      <th>average_comment_len</th>\n",
       "      <th>comments_with_link_ratio</th>\n",
       "      <th>posts_to_comments_ratio</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>anthowarlike</td>\n",
       "      <td>212</td>\n",
       "      <td>34</td>\n",
       "      <td>0.160377</td>\n",
       "      <td>0</td>\n",
       "      <td>56.409193</td>\n",
       "      <td>1.349465e+02</td>\n",
       "      <td>134.946458</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.654</td>\n",
       "      <td>265.146</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gokcehan61</td>\n",
       "      <td>4117</td>\n",
       "      <td>16596</td>\n",
       "      <td>4.031091</td>\n",
       "      <td>19</td>\n",
       "      <td>51.233260</td>\n",
       "      <td>1.840426e+00</td>\n",
       "      <td>6.897189</td>\n",
       "      <td>0.266837</td>\n",
       "      <td>0.378</td>\n",
       "      <td>143.148</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>mimikombat</td>\n",
       "      <td>773</td>\n",
       "      <td>701</td>\n",
       "      <td>0.906856</td>\n",
       "      <td>2</td>\n",
       "      <td>60.575495</td>\n",
       "      <td>1.503410e+02</td>\n",
       "      <td>388.205087</td>\n",
       "      <td>0.387272</td>\n",
       "      <td>4.340</td>\n",
       "      <td>762.985</td>\n",
       "      <td>0</td>\n",
       "      <td>125</td>\n",
       "      <td>3366</td>\n",
       "      <td>401</td>\n",
       "      <td>50</td>\n",
       "      <td>0.084788</td>\n",
       "      <td>0.311721</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>stixxzyy</td>\n",
       "      <td>238</td>\n",
       "      <td>4</td>\n",
       "      <td>0.016807</td>\n",
       "      <td>0</td>\n",
       "      <td>55.103692</td>\n",
       "      <td>8.356541e+01</td>\n",
       "      <td>83.565407</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>166.170</td>\n",
       "      <td>0</td>\n",
       "      <td>80</td>\n",
       "      <td>280</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>akintunde</td>\n",
       "      <td>2171</td>\n",
       "      <td>589</td>\n",
       "      <td>0.271304</td>\n",
       "      <td>9</td>\n",
       "      <td>62.343843</td>\n",
       "      <td>3.119804e+02</td>\n",
       "      <td>448.934538</td>\n",
       "      <td>0.694935</td>\n",
       "      <td>11.737</td>\n",
       "      <td>1025.171</td>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>1941</td>\n",
       "      <td>26</td>\n",
       "      <td>241</td>\n",
       "      <td>0.115385</td>\n",
       "      <td>0.807692</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>bryangav</td>\n",
       "      <td>718</td>\n",
       "      <td>80</td>\n",
       "      <td>0.111421</td>\n",
       "      <td>0</td>\n",
       "      <td>55.217102</td>\n",
       "      <td>2.791844e+02</td>\n",
       "      <td>77.046693</td>\n",
       "      <td>3.623574</td>\n",
       "      <td>3.779</td>\n",
       "      <td>183.609</td>\n",
       "      <td>8</td>\n",
       "      <td>62</td>\n",
       "      <td>3023</td>\n",
       "      <td>37</td>\n",
       "      <td>263</td>\n",
       "      <td>0.783784</td>\n",
       "      <td>1.675676</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>plouton</td>\n",
       "      <td>50</td>\n",
       "      <td>9</td>\n",
       "      <td>0.180000</td>\n",
       "      <td>0</td>\n",
       "      <td>44.422357</td>\n",
       "      <td>1.500954e+01</td>\n",
       "      <td>6.313641</td>\n",
       "      <td>2.377320</td>\n",
       "      <td>0.011</td>\n",
       "      <td>11.527</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>marzukie</td>\n",
       "      <td>1546</td>\n",
       "      <td>2585</td>\n",
       "      <td>1.672057</td>\n",
       "      <td>6</td>\n",
       "      <td>54.130093</td>\n",
       "      <td>9.463211e+01</td>\n",
       "      <td>94.632106</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.988</td>\n",
       "      <td>146.743</td>\n",
       "      <td>30</td>\n",
       "      <td>77</td>\n",
       "      <td>2597</td>\n",
       "      <td>361</td>\n",
       "      <td>90</td>\n",
       "      <td>0.019391</td>\n",
       "      <td>0.213296</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>lisnabuah</td>\n",
       "      <td>25</td>\n",
       "      <td>2</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0</td>\n",
       "      <td>42.741003</td>\n",
       "      <td>1.190729e+01</td>\n",
       "      <td>0.269269</td>\n",
       "      <td>44.220849</td>\n",
       "      <td>0.002</td>\n",
       "      <td>5.931</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>nappingkid</td>\n",
       "      <td>255</td>\n",
       "      <td>15</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>1</td>\n",
       "      <td>56.969551</td>\n",
       "      <td>1.773283e+02</td>\n",
       "      <td>177.328282</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.110</td>\n",
       "      <td>274.575</td>\n",
       "      <td>0</td>\n",
       "      <td>103</td>\n",
       "      <td>290</td>\n",
       "      <td>8</td>\n",
       "      <td>45</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12.875000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>itsmskali</td>\n",
       "      <td>118</td>\n",
       "      <td>24</td>\n",
       "      <td>0.203390</td>\n",
       "      <td>0</td>\n",
       "      <td>41.774677</td>\n",
       "      <td>5.015003e+00</td>\n",
       "      <td>3.569537</td>\n",
       "      <td>1.404945</td>\n",
       "      <td>0.022</td>\n",
       "      <td>4.982</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>rahmato</td>\n",
       "      <td>341</td>\n",
       "      <td>99</td>\n",
       "      <td>0.290323</td>\n",
       "      <td>0</td>\n",
       "      <td>34.397586</td>\n",
       "      <td>1.502713e+01</td>\n",
       "      <td>1.288114</td>\n",
       "      <td>11.665988</td>\n",
       "      <td>0.008</td>\n",
       "      <td>0.686</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>875</td>\n",
       "      <td>9</td>\n",
       "      <td>27</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.555556</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>theuniqornaments</td>\n",
       "      <td>305</td>\n",
       "      <td>14</td>\n",
       "      <td>0.045902</td>\n",
       "      <td>0</td>\n",
       "      <td>45.984113</td>\n",
       "      <td>1.863325e+00</td>\n",
       "      <td>0.046184</td>\n",
       "      <td>40.345844</td>\n",
       "      <td>0.054</td>\n",
       "      <td>12.777</td>\n",
       "      <td>1</td>\n",
       "      <td>39</td>\n",
       "      <td>369</td>\n",
       "      <td>2</td>\n",
       "      <td>19</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.500000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>alexcarlos</td>\n",
       "      <td>232</td>\n",
       "      <td>25</td>\n",
       "      <td>0.107759</td>\n",
       "      <td>0</td>\n",
       "      <td>52.324648</td>\n",
       "      <td>4.336502e+01</td>\n",
       "      <td>43.365019</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.064</td>\n",
       "      <td>83.009</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>1182</td>\n",
       "      <td>2</td>\n",
       "      <td>39</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>sharkhssn90</td>\n",
       "      <td>281</td>\n",
       "      <td>115</td>\n",
       "      <td>0.409253</td>\n",
       "      <td>0</td>\n",
       "      <td>26.253763</td>\n",
       "      <td>1.509236e+01</td>\n",
       "      <td>6.586708</td>\n",
       "      <td>2.291336</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.090</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "      <td>1106</td>\n",
       "      <td>25</td>\n",
       "      <td>121</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.720000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>omur61</td>\n",
       "      <td>976</td>\n",
       "      <td>1502</td>\n",
       "      <td>1.538934</td>\n",
       "      <td>1</td>\n",
       "      <td>56.939854</td>\n",
       "      <td>4.821556e+01</td>\n",
       "      <td>48.215558</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.902</td>\n",
       "      <td>239.101</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>123</td>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>philberlin</td>\n",
       "      <td>141</td>\n",
       "      <td>50</td>\n",
       "      <td>0.354610</td>\n",
       "      <td>0</td>\n",
       "      <td>31.309064</td>\n",
       "      <td>1.500171e+01</td>\n",
       "      <td>3.211032</td>\n",
       "      <td>4.671927</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0.305</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>chigz14</td>\n",
       "      <td>342</td>\n",
       "      <td>164</td>\n",
       "      <td>0.479532</td>\n",
       "      <td>2</td>\n",
       "      <td>56.755740</td>\n",
       "      <td>4.491221e+01</td>\n",
       "      <td>165.039345</td>\n",
       "      <td>0.272130</td>\n",
       "      <td>0.167</td>\n",
       "      <td>268.042</td>\n",
       "      <td>4</td>\n",
       "      <td>88</td>\n",
       "      <td>778</td>\n",
       "      <td>28</td>\n",
       "      <td>93</td>\n",
       "      <td>0.214286</td>\n",
       "      <td>3.142857</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>elysiian</td>\n",
       "      <td>1969</td>\n",
       "      <td>43</td>\n",
       "      <td>0.021838</td>\n",
       "      <td>7</td>\n",
       "      <td>60.425031</td>\n",
       "      <td>1.800332e+04</td>\n",
       "      <td>17074.531635</td>\n",
       "      <td>1.054396</td>\n",
       "      <td>291.260</td>\n",
       "      <td>1078.414</td>\n",
       "      <td>6</td>\n",
       "      <td>68</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>skizoweza</td>\n",
       "      <td>307</td>\n",
       "      <td>5</td>\n",
       "      <td>0.016287</td>\n",
       "      <td>53</td>\n",
       "      <td>59.502481</td>\n",
       "      <td>3.943580e+02</td>\n",
       "      <td>394.357979</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.600</td>\n",
       "      <td>526.632</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>coretan</td>\n",
       "      <td>908</td>\n",
       "      <td>76</td>\n",
       "      <td>0.083700</td>\n",
       "      <td>4</td>\n",
       "      <td>61.023030</td>\n",
       "      <td>2.803443e+02</td>\n",
       "      <td>481.469079</td>\n",
       "      <td>0.582268</td>\n",
       "      <td>13.339</td>\n",
       "      <td>767.718</td>\n",
       "      <td>0</td>\n",
       "      <td>28</td>\n",
       "      <td>2257</td>\n",
       "      <td>49</td>\n",
       "      <td>83</td>\n",
       "      <td>0.040816</td>\n",
       "      <td>0.571429</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>tonygreene113</td>\n",
       "      <td>1329</td>\n",
       "      <td>265</td>\n",
       "      <td>0.199398</td>\n",
       "      <td>8</td>\n",
       "      <td>49.221399</td>\n",
       "      <td>2.278498e+02</td>\n",
       "      <td>227.849765</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.193</td>\n",
       "      <td>77.221</td>\n",
       "      <td>7</td>\n",
       "      <td>48</td>\n",
       "      <td>911</td>\n",
       "      <td>570</td>\n",
       "      <td>128</td>\n",
       "      <td>0.629825</td>\n",
       "      <td>0.084211</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>tenpoundsterling</td>\n",
       "      <td>293</td>\n",
       "      <td>41</td>\n",
       "      <td>0.139932</td>\n",
       "      <td>0</td>\n",
       "      <td>51.745826</td>\n",
       "      <td>4.027079e+01</td>\n",
       "      <td>40.270792</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.042</td>\n",
       "      <td>64.298</td>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>962</td>\n",
       "      <td>167</td>\n",
       "      <td>124</td>\n",
       "      <td>0.053892</td>\n",
       "      <td>0.149701</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>copypast3r</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>5.021256e+00</td>\n",
       "      <td>0.509150</td>\n",
       "      <td>9.862030</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>eae</td>\n",
       "      <td>859</td>\n",
       "      <td>428</td>\n",
       "      <td>0.498254</td>\n",
       "      <td>0</td>\n",
       "      <td>57.780078</td>\n",
       "      <td>1.530711e+02</td>\n",
       "      <td>153.071146</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.217</td>\n",
       "      <td>327.817</td>\n",
       "      <td>0</td>\n",
       "      <td>107</td>\n",
       "      <td>1276</td>\n",
       "      <td>12</td>\n",
       "      <td>66</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.916667</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>papyboys</td>\n",
       "      <td>330</td>\n",
       "      <td>99</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>1</td>\n",
       "      <td>56.442663</td>\n",
       "      <td>2.003855e+01</td>\n",
       "      <td>120.254800</td>\n",
       "      <td>0.166634</td>\n",
       "      <td>0.046</td>\n",
       "      <td>239.335</td>\n",
       "      <td>1</td>\n",
       "      <td>116</td>\n",
       "      <td>1273</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>troonatnoor</td>\n",
       "      <td>409</td>\n",
       "      <td>144</td>\n",
       "      <td>0.352078</td>\n",
       "      <td>7</td>\n",
       "      <td>47.927954</td>\n",
       "      <td>4.434722e+01</td>\n",
       "      <td>44.347223</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>18.675</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>3757</td>\n",
       "      <td>2</td>\n",
       "      <td>289</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>nowonline</td>\n",
       "      <td>544</td>\n",
       "      <td>324</td>\n",
       "      <td>0.595588</td>\n",
       "      <td>0</td>\n",
       "      <td>52.441200</td>\n",
       "      <td>1.474777e+02</td>\n",
       "      <td>147.477713</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.679</td>\n",
       "      <td>75.321</td>\n",
       "      <td>0</td>\n",
       "      <td>24</td>\n",
       "      <td>6303</td>\n",
       "      <td>211</td>\n",
       "      <td>178</td>\n",
       "      <td>0.066351</td>\n",
       "      <td>0.113744</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>skizoweza</td>\n",
       "      <td>307</td>\n",
       "      <td>5</td>\n",
       "      <td>0.016287</td>\n",
       "      <td>53</td>\n",
       "      <td>59.502481</td>\n",
       "      <td>3.943580e+02</td>\n",
       "      <td>394.357979</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.600</td>\n",
       "      <td>526.632</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>susanli3769</td>\n",
       "      <td>1321</td>\n",
       "      <td>288</td>\n",
       "      <td>0.218017</td>\n",
       "      <td>3</td>\n",
       "      <td>66.699240</td>\n",
       "      <td>5.969675e+03</td>\n",
       "      <td>3778.127511</td>\n",
       "      <td>1.580062</td>\n",
       "      <td>138.835</td>\n",
       "      <td>4059.769</td>\n",
       "      <td>9</td>\n",
       "      <td>93</td>\n",
       "      <td>2200</td>\n",
       "      <td>167</td>\n",
       "      <td>51</td>\n",
       "      <td>0.005988</td>\n",
       "      <td>0.556886</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2969</th>\n",
       "      <td>promobot</td>\n",
       "      <td>2019</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000495</td>\n",
       "      <td>14</td>\n",
       "      <td>59.422674</td>\n",
       "      <td>7.716482e+05</td>\n",
       "      <td>684759.979606</td>\n",
       "      <td>1.126889</td>\n",
       "      <td>14070.622</td>\n",
       "      <td>594.764</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>1319</td>\n",
       "      <td>34</td>\n",
       "      <td>204</td>\n",
       "      <td>0.382353</td>\n",
       "      <td>0.264706</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2970</th>\n",
       "      <td>profitbot</td>\n",
       "      <td>164</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>2.150242e+03</td>\n",
       "      <td>39.087194</td>\n",
       "      <td>55.011423</td>\n",
       "      <td>35.945</td>\n",
       "      <td>0.007</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2971</th>\n",
       "      <td>tainika</td>\n",
       "      <td>427</td>\n",
       "      <td>2</td>\n",
       "      <td>0.004684</td>\n",
       "      <td>2</td>\n",
       "      <td>33.031369</td>\n",
       "      <td>2.167554e+02</td>\n",
       "      <td>23.790449</td>\n",
       "      <td>9.111025</td>\n",
       "      <td>7.706</td>\n",
       "      <td>0.560</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>740</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2972</th>\n",
       "      <td>pwrup</td>\n",
       "      <td>218</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>30.637104</td>\n",
       "      <td>4.597775e+03</td>\n",
       "      <td>150.942145</td>\n",
       "      <td>30.460509</td>\n",
       "      <td>56.886</td>\n",
       "      <td>0.384</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2973</th>\n",
       "      <td>dlivepromoter</td>\n",
       "      <td>310</td>\n",
       "      <td>2</td>\n",
       "      <td>0.006452</td>\n",
       "      <td>3</td>\n",
       "      <td>44.252143</td>\n",
       "      <td>6.395827e+03</td>\n",
       "      <td>102.260032</td>\n",
       "      <td>62.544743</td>\n",
       "      <td>93.149</td>\n",
       "      <td>11.461</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>749</td>\n",
       "      <td>1905</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2974</th>\n",
       "      <td>stef</td>\n",
       "      <td>764</td>\n",
       "      <td>76</td>\n",
       "      <td>0.099476</td>\n",
       "      <td>6</td>\n",
       "      <td>57.273246</td>\n",
       "      <td>2.097547e+03</td>\n",
       "      <td>2097.546919</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>88.592</td>\n",
       "      <td>362.545</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>763</td>\n",
       "      <td>1714</td>\n",
       "      <td>59</td>\n",
       "      <td>0.000583</td>\n",
       "      <td>0.008168</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2975</th>\n",
       "      <td>megabot</td>\n",
       "      <td>380</td>\n",
       "      <td>12</td>\n",
       "      <td>0.031579</td>\n",
       "      <td>3</td>\n",
       "      <td>37.507160</td>\n",
       "      <td>1.014453e+03</td>\n",
       "      <td>30.278106</td>\n",
       "      <td>33.504507</td>\n",
       "      <td>26.010</td>\n",
       "      <td>2.212</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4580</td>\n",
       "      <td>3353</td>\n",
       "      <td>1188</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000596</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2976</th>\n",
       "      <td>voterunner</td>\n",
       "      <td>559</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5</td>\n",
       "      <td>30.653266</td>\n",
       "      <td>1.607202e+03</td>\n",
       "      <td>55.684586</td>\n",
       "      <td>28.862607</td>\n",
       "      <td>54.023</td>\n",
       "      <td>0.377</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1450</td>\n",
       "      <td>364</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2977</th>\n",
       "      <td>dolphinbot</td>\n",
       "      <td>491</td>\n",
       "      <td>20</td>\n",
       "      <td>0.040733</td>\n",
       "      <td>3</td>\n",
       "      <td>53.403587</td>\n",
       "      <td>4.251952e+03</td>\n",
       "      <td>676.714372</td>\n",
       "      <td>6.283230</td>\n",
       "      <td>111.015</td>\n",
       "      <td>121.983</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3890</td>\n",
       "      <td>196</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2978</th>\n",
       "      <td>a-bot</td>\n",
       "      <td>219</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>53.438524</td>\n",
       "      <td>5.355319e+04</td>\n",
       "      <td>241.881990</td>\n",
       "      <td>221.402139</td>\n",
       "      <td>186.380</td>\n",
       "      <td>109.492</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1448</td>\n",
       "      <td>3</td>\n",
       "      <td>53</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2979</th>\n",
       "      <td>onlyprofitbot</td>\n",
       "      <td>737</td>\n",
       "      <td>2</td>\n",
       "      <td>0.002714</td>\n",
       "      <td>6</td>\n",
       "      <td>44.261115</td>\n",
       "      <td>1.832638e+04</td>\n",
       "      <td>408.403332</td>\n",
       "      <td>44.873234</td>\n",
       "      <td>397.923</td>\n",
       "      <td>11.293</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>321</td>\n",
       "      <td>4512</td>\n",
       "      <td>849</td>\n",
       "      <td>0.995789</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2980</th>\n",
       "      <td>mitsuko</td>\n",
       "      <td>571</td>\n",
       "      <td>3</td>\n",
       "      <td>0.005254</td>\n",
       "      <td>3</td>\n",
       "      <td>7.875607</td>\n",
       "      <td>4.760143e+03</td>\n",
       "      <td>140.708879</td>\n",
       "      <td>33.829727</td>\n",
       "      <td>87.038</td>\n",
       "      <td>136.749</td>\n",
       "      <td>1</td>\n",
       "      <td>133</td>\n",
       "      <td>9122</td>\n",
       "      <td>1461</td>\n",
       "      <td>688</td>\n",
       "      <td>0.517454</td>\n",
       "      <td>0.091034</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2981</th>\n",
       "      <td>therising</td>\n",
       "      <td>2307</td>\n",
       "      <td>3</td>\n",
       "      <td>0.001300</td>\n",
       "      <td>9</td>\n",
       "      <td>55.501262</td>\n",
       "      <td>1.058594e+06</td>\n",
       "      <td>10101.260613</td>\n",
       "      <td>104.798230</td>\n",
       "      <td>13501.338</td>\n",
       "      <td>183.309</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>1202</td>\n",
       "      <td>26</td>\n",
       "      <td>246</td>\n",
       "      <td>0.115385</td>\n",
       "      <td>0.038462</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2982</th>\n",
       "      <td>profitvote</td>\n",
       "      <td>228</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>1.924433e+04</td>\n",
       "      <td>239.974125</td>\n",
       "      <td>80.193351</td>\n",
       "      <td>236.230</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2983</th>\n",
       "      <td>whalecreator</td>\n",
       "      <td>300</td>\n",
       "      <td>1</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>2</td>\n",
       "      <td>43.233118</td>\n",
       "      <td>1.247114e+04</td>\n",
       "      <td>179.466896</td>\n",
       "      <td>69.489932</td>\n",
       "      <td>169.438</td>\n",
       "      <td>12.772</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>460</td>\n",
       "      <td>3727</td>\n",
       "      <td>116</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000537</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2984</th>\n",
       "      <td>smartsteem</td>\n",
       "      <td>8894</td>\n",
       "      <td>840</td>\n",
       "      <td>0.094446</td>\n",
       "      <td>30</td>\n",
       "      <td>67.148343</td>\n",
       "      <td>2.797561e+06</td>\n",
       "      <td>64242.207350</td>\n",
       "      <td>43.547095</td>\n",
       "      <td>42834.139</td>\n",
       "      <td>3646.316</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>3089</td>\n",
       "      <td>144</td>\n",
       "      <td>242</td>\n",
       "      <td>0.895833</td>\n",
       "      <td>0.118056</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2985</th>\n",
       "      <td>jerrybanfield</td>\n",
       "      <td>40033</td>\n",
       "      <td>622</td>\n",
       "      <td>0.015537</td>\n",
       "      <td>235</td>\n",
       "      <td>74.556851</td>\n",
       "      <td>6.251645e+05</td>\n",
       "      <td>70633.740798</td>\n",
       "      <td>8.850791</td>\n",
       "      <td>15507.759</td>\n",
       "      <td>46686.633</td>\n",
       "      <td>0</td>\n",
       "      <td>66</td>\n",
       "      <td>7282</td>\n",
       "      <td>305</td>\n",
       "      <td>218</td>\n",
       "      <td>0.475410</td>\n",
       "      <td>0.216393</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2986</th>\n",
       "      <td>steembloggers</td>\n",
       "      <td>2295</td>\n",
       "      <td>9</td>\n",
       "      <td>0.003922</td>\n",
       "      <td>10</td>\n",
       "      <td>66.732661</td>\n",
       "      <td>1.512927e+04</td>\n",
       "      <td>1209.712087</td>\n",
       "      <td>12.506504</td>\n",
       "      <td>359.111</td>\n",
       "      <td>3755.379</td>\n",
       "      <td>3</td>\n",
       "      <td>215</td>\n",
       "      <td>2940</td>\n",
       "      <td>2820</td>\n",
       "      <td>69</td>\n",
       "      <td>0.004255</td>\n",
       "      <td>0.076241</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2987</th>\n",
       "      <td>luckyvotes</td>\n",
       "      <td>646</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>11</td>\n",
       "      <td>37.269015</td>\n",
       "      <td>4.184728e+03</td>\n",
       "      <td>314.260330</td>\n",
       "      <td>13.316119</td>\n",
       "      <td>263.294</td>\n",
       "      <td>4.960</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>429</td>\n",
       "      <td>2693</td>\n",
       "      <td>66</td>\n",
       "      <td>0.001485</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2988</th>\n",
       "      <td>minnowvotes</td>\n",
       "      <td>1867</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>12</td>\n",
       "      <td>43.462100</td>\n",
       "      <td>2.472247e+04</td>\n",
       "      <td>2143.539471</td>\n",
       "      <td>11.533479</td>\n",
       "      <td>884.444</td>\n",
       "      <td>10.248</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>173</td>\n",
       "      <td>5986</td>\n",
       "      <td>66</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000167</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2989</th>\n",
       "      <td>chronoboost</td>\n",
       "      <td>288</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>56.322085</td>\n",
       "      <td>5.297082e+04</td>\n",
       "      <td>336.243069</td>\n",
       "      <td>157.537282</td>\n",
       "      <td>225.529</td>\n",
       "      <td>220.561</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "      <td>9814</td>\n",
       "      <td>95</td>\n",
       "      <td>87</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2990</th>\n",
       "      <td>alfanso</td>\n",
       "      <td>346</td>\n",
       "      <td>1</td>\n",
       "      <td>0.002890</td>\n",
       "      <td>0</td>\n",
       "      <td>42.117333</td>\n",
       "      <td>7.165804e+04</td>\n",
       "      <td>589.567530</td>\n",
       "      <td>121.543393</td>\n",
       "      <td>584.645</td>\n",
       "      <td>5.849</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>372</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2991</th>\n",
       "      <td>upyourpost</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>41.325609</td>\n",
       "      <td>1.997986e+04</td>\n",
       "      <td>45.237641</td>\n",
       "      <td>441.664451</td>\n",
       "      <td>41.951</td>\n",
       "      <td>5.414</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2237</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2992</th>\n",
       "      <td>rocky1</td>\n",
       "      <td>3991</td>\n",
       "      <td>36</td>\n",
       "      <td>0.009020</td>\n",
       "      <td>16</td>\n",
       "      <td>62.439752</td>\n",
       "      <td>1.487235e+06</td>\n",
       "      <td>31730.836331</td>\n",
       "      <td>46.870335</td>\n",
       "      <td>31142.082</td>\n",
       "      <td>2067.898</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>64</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2993</th>\n",
       "      <td>brupvoter</td>\n",
       "      <td>2063</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000485</td>\n",
       "      <td>18</td>\n",
       "      <td>61.051257</td>\n",
       "      <td>7.617913e+04</td>\n",
       "      <td>1581.247789</td>\n",
       "      <td>48.176591</td>\n",
       "      <td>1177.083</td>\n",
       "      <td>796.216</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>2186</td>\n",
       "      <td>6593</td>\n",
       "      <td>64</td>\n",
       "      <td>0.001213</td>\n",
       "      <td>0.001668</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2994</th>\n",
       "      <td>thebot</td>\n",
       "      <td>786</td>\n",
       "      <td>4</td>\n",
       "      <td>0.005089</td>\n",
       "      <td>8</td>\n",
       "      <td>53.337931</td>\n",
       "      <td>5.500106e+04</td>\n",
       "      <td>343.478066</td>\n",
       "      <td>160.129768</td>\n",
       "      <td>516.303</td>\n",
       "      <td>118.455</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2151</td>\n",
       "      <td>614</td>\n",
       "      <td>183</td>\n",
       "      <td>0.983713</td>\n",
       "      <td>0.003257</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2995</th>\n",
       "      <td>aksdwi</td>\n",
       "      <td>2262</td>\n",
       "      <td>42</td>\n",
       "      <td>0.018568</td>\n",
       "      <td>15</td>\n",
       "      <td>53.949899</td>\n",
       "      <td>4.453224e+03</td>\n",
       "      <td>4453.224464</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2365.907</td>\n",
       "      <td>201.199</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1708</td>\n",
       "      <td>76</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2996</th>\n",
       "      <td>cabbage-dealer</td>\n",
       "      <td>677</td>\n",
       "      <td>20</td>\n",
       "      <td>0.029542</td>\n",
       "      <td>4</td>\n",
       "      <td>59.595104</td>\n",
       "      <td>1.505787e+03</td>\n",
       "      <td>406.505335</td>\n",
       "      <td>3.704225</td>\n",
       "      <td>41.999</td>\n",
       "      <td>576.491</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>3545</td>\n",
       "      <td>2865</td>\n",
       "      <td>206</td>\n",
       "      <td>0.998953</td>\n",
       "      <td>0.001047</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2997</th>\n",
       "      <td>proffit</td>\n",
       "      <td>370</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>52.531199</td>\n",
       "      <td>4.971801e+03</td>\n",
       "      <td>1650.698223</td>\n",
       "      <td>3.011938</td>\n",
       "      <td>24.457</td>\n",
       "      <td>88.701</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>473</td>\n",
       "      <td>2341</td>\n",
       "      <td>170</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.002563</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2998</th>\n",
       "      <td>lovejuice</td>\n",
       "      <td>3997</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>36</td>\n",
       "      <td>61.078371</td>\n",
       "      <td>1.579660e+04</td>\n",
       "      <td>583.301412</td>\n",
       "      <td>27.081374</td>\n",
       "      <td>1015.622</td>\n",
       "      <td>1018.444</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2391</td>\n",
       "      <td>5234</td>\n",
       "      <td>180</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.006496</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2999 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  name  followers  followings  follow ratio  muters  \\\n",
       "0         anthowarlike        212          34      0.160377       0   \n",
       "1           gokcehan61       4117       16596      4.031091      19   \n",
       "2           mimikombat        773         701      0.906856       2   \n",
       "3             stixxzyy        238           4      0.016807       0   \n",
       "4            akintunde       2171         589      0.271304       9   \n",
       "5             bryangav        718          80      0.111421       0   \n",
       "6              plouton         50           9      0.180000       0   \n",
       "7             marzukie       1546        2585      1.672057       6   \n",
       "8            lisnabuah         25           2      0.080000       0   \n",
       "9           nappingkid        255          15      0.058824       1   \n",
       "10           itsmskali        118          24      0.203390       0   \n",
       "11             rahmato        341          99      0.290323       0   \n",
       "12    theuniqornaments        305          14      0.045902       0   \n",
       "13          alexcarlos        232          25      0.107759       0   \n",
       "14         sharkhssn90        281         115      0.409253       0   \n",
       "15              omur61        976        1502      1.538934       1   \n",
       "16          philberlin        141          50      0.354610       0   \n",
       "17             chigz14        342         164      0.479532       2   \n",
       "18            elysiian       1969          43      0.021838       7   \n",
       "19           skizoweza        307           5      0.016287      53   \n",
       "20             coretan        908          76      0.083700       4   \n",
       "21       tonygreene113       1329         265      0.199398       8   \n",
       "22    tenpoundsterling        293          41      0.139932       0   \n",
       "23          copypast3r         19           1      0.052632       0   \n",
       "24                 eae        859         428      0.498254       0   \n",
       "25            papyboys        330          99      0.300000       1   \n",
       "26         troonatnoor        409         144      0.352078       7   \n",
       "27           nowonline        544         324      0.595588       0   \n",
       "28           skizoweza        307           5      0.016287      53   \n",
       "29         susanli3769       1321         288      0.218017       3   \n",
       "...                ...        ...         ...           ...     ...   \n",
       "2969          promobot       2019           1      0.000495      14   \n",
       "2970         profitbot        164           0      0.000000       0   \n",
       "2971           tainika        427           2      0.004684       2   \n",
       "2972             pwrup        218           0      0.000000       1   \n",
       "2973     dlivepromoter        310           2      0.006452       3   \n",
       "2974              stef        764          76      0.099476       6   \n",
       "2975           megabot        380          12      0.031579       3   \n",
       "2976        voterunner        559           0      0.000000       5   \n",
       "2977        dolphinbot        491          20      0.040733       3   \n",
       "2978             a-bot        219           0      0.000000       0   \n",
       "2979     onlyprofitbot        737           2      0.002714       6   \n",
       "2980           mitsuko        571           3      0.005254       3   \n",
       "2981         therising       2307           3      0.001300       9   \n",
       "2982        profitvote        228           0      0.000000       0   \n",
       "2983      whalecreator        300           1      0.003333       2   \n",
       "2984        smartsteem       8894         840      0.094446      30   \n",
       "2985     jerrybanfield      40033         622      0.015537     235   \n",
       "2986     steembloggers       2295           9      0.003922      10   \n",
       "2987        luckyvotes        646           0      0.000000      11   \n",
       "2988       minnowvotes       1867           0      0.000000      12   \n",
       "2989       chronoboost        288           0      0.000000       0   \n",
       "2990           alfanso        346           1      0.002890       0   \n",
       "2991        upyourpost         69           0      0.000000       0   \n",
       "2992            rocky1       3991          36      0.009020      16   \n",
       "2993         brupvoter       2063           1      0.000485      18   \n",
       "2994            thebot        786           4      0.005089       8   \n",
       "2995            aksdwi       2262          42      0.018568      15   \n",
       "2996    cabbage-dealer        677          20      0.029542       4   \n",
       "2997           proffit        370           0      0.000000       2   \n",
       "2998         lovejuice       3997           0      0.000000      36   \n",
       "\n",
       "      reputation  effective sp         own sp    sp ratio  curation_rewards  \\\n",
       "0      56.409193  1.349465e+02     134.946458    1.000000             0.654   \n",
       "1      51.233260  1.840426e+00       6.897189    0.266837             0.378   \n",
       "2      60.575495  1.503410e+02     388.205087    0.387272             4.340   \n",
       "3      55.103692  8.356541e+01      83.565407    1.000000             0.000   \n",
       "4      62.343843  3.119804e+02     448.934538    0.694935            11.737   \n",
       "5      55.217102  2.791844e+02      77.046693    3.623574             3.779   \n",
       "6      44.422357  1.500954e+01       6.313641    2.377320             0.011   \n",
       "7      54.130093  9.463211e+01      94.632106    1.000000             2.988   \n",
       "8      42.741003  1.190729e+01       0.269269   44.220849             0.002   \n",
       "9      56.969551  1.773283e+02     177.328282    1.000000             1.110   \n",
       "10     41.774677  5.015003e+00       3.569537    1.404945             0.022   \n",
       "11     34.397586  1.502713e+01       1.288114   11.665988             0.008   \n",
       "12     45.984113  1.863325e+00       0.046184   40.345844             0.054   \n",
       "13     52.324648  4.336502e+01      43.365019    1.000000             0.064   \n",
       "14     26.253763  1.509236e+01       6.586708    2.291336             0.000   \n",
       "15     56.939854  4.821556e+01      48.215558    1.000000             7.902   \n",
       "16     31.309064  1.500171e+01       3.211032    4.671927             0.007   \n",
       "17     56.755740  4.491221e+01     165.039345    0.272130             0.167   \n",
       "18     60.425031  1.800332e+04   17074.531635    1.054396           291.260   \n",
       "19     59.502481  3.943580e+02     394.357979    1.000000             5.600   \n",
       "20     61.023030  2.803443e+02     481.469079    0.582268            13.339   \n",
       "21     49.221399  2.278498e+02     227.849765    1.000000             4.193   \n",
       "22     51.745826  4.027079e+01      40.270792    1.000000             0.042   \n",
       "23     25.000000  5.021256e+00       0.509150    9.862030             0.000   \n",
       "24     57.780078  1.530711e+02     153.071146    1.000000             1.217   \n",
       "25     56.442663  2.003855e+01     120.254800    0.166634             0.046   \n",
       "26     47.927954  4.434722e+01      44.347223    1.000000             0.000   \n",
       "27     52.441200  1.474777e+02     147.477713    1.000000             0.679   \n",
       "28     59.502481  3.943580e+02     394.357979    1.000000             5.600   \n",
       "29     66.699240  5.969675e+03    3778.127511    1.580062           138.835   \n",
       "...          ...           ...            ...         ...               ...   \n",
       "2969   59.422674  7.716482e+05  684759.979606    1.126889         14070.622   \n",
       "2970   25.000000  2.150242e+03      39.087194   55.011423            35.945   \n",
       "2971   33.031369  2.167554e+02      23.790449    9.111025             7.706   \n",
       "2972   30.637104  4.597775e+03     150.942145   30.460509            56.886   \n",
       "2973   44.252143  6.395827e+03     102.260032   62.544743            93.149   \n",
       "2974   57.273246  2.097547e+03    2097.546919    1.000000            88.592   \n",
       "2975   37.507160  1.014453e+03      30.278106   33.504507            26.010   \n",
       "2976   30.653266  1.607202e+03      55.684586   28.862607            54.023   \n",
       "2977   53.403587  4.251952e+03     676.714372    6.283230           111.015   \n",
       "2978   53.438524  5.355319e+04     241.881990  221.402139           186.380   \n",
       "2979   44.261115  1.832638e+04     408.403332   44.873234           397.923   \n",
       "2980    7.875607  4.760143e+03     140.708879   33.829727            87.038   \n",
       "2981   55.501262  1.058594e+06   10101.260613  104.798230         13501.338   \n",
       "2982   25.000000  1.924433e+04     239.974125   80.193351           236.230   \n",
       "2983   43.233118  1.247114e+04     179.466896   69.489932           169.438   \n",
       "2984   67.148343  2.797561e+06   64242.207350   43.547095         42834.139   \n",
       "2985   74.556851  6.251645e+05   70633.740798    8.850791         15507.759   \n",
       "2986   66.732661  1.512927e+04    1209.712087   12.506504           359.111   \n",
       "2987   37.269015  4.184728e+03     314.260330   13.316119           263.294   \n",
       "2988   43.462100  2.472247e+04    2143.539471   11.533479           884.444   \n",
       "2989   56.322085  5.297082e+04     336.243069  157.537282           225.529   \n",
       "2990   42.117333  7.165804e+04     589.567530  121.543393           584.645   \n",
       "2991   41.325609  1.997986e+04      45.237641  441.664451            41.951   \n",
       "2992   62.439752  1.487235e+06   31730.836331   46.870335         31142.082   \n",
       "2993   61.051257  7.617913e+04    1581.247789   48.176591          1177.083   \n",
       "2994   53.337931  5.500106e+04     343.478066  160.129768           516.303   \n",
       "2995   53.949899  4.453224e+03    4453.224464    1.000000          2365.907   \n",
       "2996   59.595104  1.505787e+03     406.505335    3.704225            41.999   \n",
       "2997   52.531199  4.971801e+03    1650.698223    3.011938            24.457   \n",
       "2998   61.078371  1.579660e+04     583.301412   27.081374          1015.622   \n",
       "\n",
       "      posting_rewards  witnesses_voted_for  posts  average_post_len  comments  \\\n",
       "0             265.146                    0      0                 0         0   \n",
       "1             143.148                    3      0                 0         0   \n",
       "2             762.985                    0    125              3366       401   \n",
       "3             166.170                    0     80               280         0   \n",
       "4            1025.171                   19     21              1941        26   \n",
       "5             183.609                    8     62              3023        37   \n",
       "6              11.527                    0      0                 0         0   \n",
       "7             146.743                   30     77              2597       361   \n",
       "8               5.931                    0      0                 0         0   \n",
       "9             274.575                    0    103               290         8   \n",
       "10              4.982                    0      0                 0         0   \n",
       "11              0.686                    0     23               875         9   \n",
       "12             12.777                    1     39               369         2   \n",
       "13             83.009                    0     50              1182         2   \n",
       "14              0.090                    0     18              1106        25   \n",
       "15            239.101                    1      2               123         1   \n",
       "16              0.305                    0      0                 0         0   \n",
       "17            268.042                    4     88               778        28   \n",
       "18           1078.414                    6     68                57         0   \n",
       "19            526.632                    0      0                 0         0   \n",
       "20            767.718                    0     28              2257        49   \n",
       "21             77.221                    7     48               911       570   \n",
       "22             64.298                    3     25               962       167   \n",
       "23              0.000                    0      0                 0         0   \n",
       "24            327.817                    0    107              1276        12   \n",
       "25            239.335                    1    116              1273         0   \n",
       "26             18.675                    0     16              3757         2   \n",
       "27             75.321                    0     24              6303       211   \n",
       "28            526.632                    0      0                 0         0   \n",
       "29           4059.769                    9     93              2200       167   \n",
       "...               ...                  ...    ...               ...       ...   \n",
       "2969          594.764                    0      9              1319        34   \n",
       "2970            0.007                    0      0                 0         0   \n",
       "2971            0.560                    0      0                 0         6   \n",
       "2972            0.384                    0      0                 0         0   \n",
       "2973           11.461                    0      0                 0       749   \n",
       "2974          362.545                    0     14               763      1714   \n",
       "2975            2.212                    1      2              4580      3353   \n",
       "2976            0.377                    1      0                 0      1450   \n",
       "2977          121.983                    1      0                 0      3890   \n",
       "2978          109.492                    0      1              1448         3   \n",
       "2979           11.293                    0      1               321      4512   \n",
       "2980          136.749                    1    133              9122      1461   \n",
       "2981          183.309                    9      1              1202        26   \n",
       "2982            0.020                    0      0                 0         0   \n",
       "2983           12.772                    0      2               460      3727   \n",
       "2984         3646.316                    0     17              3089       144   \n",
       "2985        46686.633                    0     66              7282       305   \n",
       "2986         3755.379                    3    215              2940      2820   \n",
       "2987            4.960                    1      1               429      2693   \n",
       "2988           10.248                    1      1               173      5986   \n",
       "2989          220.561                    0     19              9814        95   \n",
       "2990            5.849                    0      3               372         0   \n",
       "2991            5.414                    1      1              2237         0   \n",
       "2992         2067.898                   15      0                 0         5   \n",
       "2993          796.216                    4     11              2186      6593   \n",
       "2994          118.455                    0      2              2151       614   \n",
       "2995          201.199                    1      0                 0      1708   \n",
       "2996          576.491                    4      3              3545      2865   \n",
       "2997           88.701                    2      6               473      2341   \n",
       "2998         1018.444                    0     34              2391      5234   \n",
       "\n",
       "      average_comment_len  comments_with_link_ratio  posts_to_comments_ratio  \\\n",
       "0                       0                  0.000000                 0.000000   \n",
       "1                       0                  0.000000                 0.000000   \n",
       "2                      50                  0.084788                 0.311721   \n",
       "3                       0                  0.000000                 0.000000   \n",
       "4                     241                  0.115385                 0.807692   \n",
       "5                     263                  0.783784                 1.675676   \n",
       "6                       0                  0.000000                 0.000000   \n",
       "7                      90                  0.019391                 0.213296   \n",
       "8                       0                  0.000000                 0.000000   \n",
       "9                      45                  0.000000                12.875000   \n",
       "10                      0                  0.000000                 0.000000   \n",
       "11                     27                  0.000000                 2.555556   \n",
       "12                     19                  0.000000                19.500000   \n",
       "13                     39                  0.000000                25.000000   \n",
       "14                    121                  0.000000                 0.720000   \n",
       "15                     32                  0.000000                 2.000000   \n",
       "16                      0                  0.000000                 0.000000   \n",
       "17                     93                  0.214286                 3.142857   \n",
       "18                      0                  0.000000                 0.000000   \n",
       "19                      0                  0.000000                 0.000000   \n",
       "20                     83                  0.040816                 0.571429   \n",
       "21                    128                  0.629825                 0.084211   \n",
       "22                    124                  0.053892                 0.149701   \n",
       "23                      0                  0.000000                 0.000000   \n",
       "24                     66                  0.000000                 8.916667   \n",
       "25                      0                  0.000000                 0.000000   \n",
       "26                    289                  0.500000                 8.000000   \n",
       "27                    178                  0.066351                 0.113744   \n",
       "28                      0                  0.000000                 0.000000   \n",
       "29                     51                  0.005988                 0.556886   \n",
       "...                   ...                       ...                      ...   \n",
       "2969                  204                  0.382353                 0.264706   \n",
       "2970                    0                  0.000000                 0.000000   \n",
       "2971                  740                  0.666667                 0.000000   \n",
       "2972                    0                  0.000000                 0.000000   \n",
       "2973                 1905                  1.000000                 0.000000   \n",
       "2974                   59                  0.000583                 0.008168   \n",
       "2975                 1188                  1.000000                 0.000596   \n",
       "2976                  364                  1.000000                 0.000000   \n",
       "2977                  196                  1.000000                 0.000000   \n",
       "2978                   53                  0.000000                 0.333333   \n",
       "2979                  849                  0.995789                 0.000222   \n",
       "2980                  688                  0.517454                 0.091034   \n",
       "2981                  246                  0.115385                 0.038462   \n",
       "2982                    0                  0.000000                 0.000000   \n",
       "2983                  116                  0.000000                 0.000537   \n",
       "2984                  242                  0.895833                 0.118056   \n",
       "2985                  218                  0.475410                 0.216393   \n",
       "2986                   69                  0.004255                 0.076241   \n",
       "2987                   66                  0.001485                 0.000371   \n",
       "2988                   66                  0.000000                 0.000167   \n",
       "2989                   87                  0.000000                 0.200000   \n",
       "2990                    0                  0.000000                 0.000000   \n",
       "2991                    0                  0.000000                 0.000000   \n",
       "2992                   64                  0.000000                 0.000000   \n",
       "2993                   64                  0.001213                 0.001668   \n",
       "2994                  183                  0.983713                 0.003257   \n",
       "2995                   76                  0.000000                 0.000000   \n",
       "2996                  206                  0.998953                 0.001047   \n",
       "2997                  170                  0.000000                 0.002563   \n",
       "2998                  180                  1.000000                 0.006496   \n",
       "\n",
       "      class  \n",
       "0         0  \n",
       "1         0  \n",
       "2         0  \n",
       "3         0  \n",
       "4         0  \n",
       "5         0  \n",
       "6         0  \n",
       "7         0  \n",
       "8         0  \n",
       "9         0  \n",
       "10        0  \n",
       "11        0  \n",
       "12        0  \n",
       "13        0  \n",
       "14        0  \n",
       "15        0  \n",
       "16        0  \n",
       "17        0  \n",
       "18        0  \n",
       "19        0  \n",
       "20        0  \n",
       "21        0  \n",
       "22        0  \n",
       "23        0  \n",
       "24        0  \n",
       "25        0  \n",
       "26        0  \n",
       "27        0  \n",
       "28        0  \n",
       "29        0  \n",
       "...     ...  \n",
       "2969      3  \n",
       "2970      3  \n",
       "2971      3  \n",
       "2972      3  \n",
       "2973      3  \n",
       "2974      3  \n",
       "2975      3  \n",
       "2976      1  \n",
       "2977      3  \n",
       "2978      3  \n",
       "2979      3  \n",
       "2980      3  \n",
       "2981      3  \n",
       "2982      3  \n",
       "2983      3  \n",
       "2984      3  \n",
       "2985      3  \n",
       "2986      3  \n",
       "2987      3  \n",
       "2988      3  \n",
       "2989      3  \n",
       "2990      3  \n",
       "2991      3  \n",
       "2992      3  \n",
       "2993      3  \n",
       "2994      3  \n",
       "2995      3  \n",
       "2996      3  \n",
       "2997      3  \n",
       "2998      3  \n",
       "\n",
       "[2999 rows x 19 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data.csv', index_col=None, sep=\",\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "feature|content-creator average|scammer average|comment-spammer average|bid-bot average\n",
      "-|-|-|-|-\n",
      "followers|934.567|743.205|487.444|2329.059\n",
      "followings|994.253|781.329|648.279|1729.388\n",
      "follow ratio|0.448|0.640|0.738|0.417\n",
      "muters|4.806|8.739|1.815|14.072\n",
      "reputation|48.778|20.286|38.383|45.869\n",
      "effective sp|1295.871|4730.600|238.016|213270.866\n",
      "own sp|1172.162|883.900|190.076|12649.868\n",
      "sp ratio|22.412|3075207.413|36.986|78.479\n",
      "curation_rewards|94.911|145.473|3.793|4951.593\n",
      "posting_rewards|1058.545|317.027|68.817|1009.702\n",
      "witnesses_voted_for|3.806|3.712|2.493|2.261\n",
      "posts|57.722|24.042|55.309|14.971\n",
      "average_post_len|1174.637|1100.460|1276.239|1925.659\n",
      "comments|168.451|1126.868|309.525|2635.248\n",
      "average_comment_len|82.626|87.517|41.009|417.008\n",
      "comments_with_link_ratio|0.058|0.151|0.053|0.487\n",
      "posts_to_comments_ratio|3.706|1.571|0.460|0.190\n"
     ]
    }
   ],
   "source": [
    "columns = ['followers', 'followings', 'follow ratio', 'muters',\n",
    "           'reputation', 'effective sp', 'own sp', 'sp ratio', 'curation_rewards',\n",
    "          'posting_rewards', 'witnesses_voted_for', 'posts', 'average_post_len', 'comments',\n",
    "          'average_comment_len', 'comments_with_link_ratio', 'posts_to_comments_ratio']\n",
    "\n",
    "print('feature|content-creator average|scammer average|comment-spammer average|bid-bot average')\n",
    "print('-|-|-|-|-')\n",
    "for column in columns:\n",
    "    print('%s|%.3f|%.3f|%.3f|%.3f' % \n",
    "          (column,\n",
    "           df[df['class'] == 0][column].mean(),\n",
    "           df[df['class'] == 1][column].mean(),\n",
    "           df[df['class'] == 2][column].mean(),\n",
    "           df[df['class'] == 3][column].mean()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6uMiKHiqyooeLbMMXG/pchvfee88OPPBA27Jli5mZbdu2zebMmWP333+/mZktXLjQTjnlFDMzu+CCC+zss8+25uZm+/vf/26DBw+2d955x5qamqywsND+/e9/m5kZYE899ZTt2LHDTj31VDvuuOOsvr7eVq1aZRMnTjQzs7vuustuuOEGMzPbvXu3TZ482SoqKmz58uW2xx572Mcff2xNTU12xBFH2Msvv2xmZvvvv39LOdu78sor7eGHHzYzs7q6OqupqbENGzYYYCtWrDAzs4suush+97vftdQz5Nxzz7UlS5aYmdmMGTPspz/9qZmZ3XbbbTZixAjbtGmT7d692/bdd1/bunWrbdiwwdLT09vU/aKLLmr5dwn9e1177bX20EMPmZnZ559/bmPHjrXq6mq77777bN99921Thtb6shKbWuAiIgmofHM5GNQ21YIFj/to2bJlnHnmmeTl5QEwdOhQXn31Vb797W8DcN5557XZg7uzLUHT0tJatgQFyMrK4oQTTgAC25XOmDGDzMxMxo8f33LNc889x4MPPsikSZOYOnUq27ZtY926dQAcfvjhjBw5krS0NCZNmtTynO4ceeSR/Pa3v+Xmm2/mo48+IicnB4D99tuvZXvSc889t6Uuy5cvZ+rUqYwfP55ly5axevXqlnudfPLJLWU/9NBDGTFiBNnZ2RQUFPDxxx8DsP/++7ep+6xZs1r+XVrX8aabbmLSpEkUFxeze/fulmzGcccdx9Ch0d9fQAFcRCQBFQ4rBAc56Tnggsd9ZGadbh/aWuvHe9oSFCAzM7PlOV1tL2pmLFiwgFWrVrFq1So2bNjQkk5ufd/09PRO+4mffPJJJk2axKRJk3jzzTf59re/zZIlS8jJyeH4449n2bJlHcoeOt69ezff/e53eeKJJ3j33Xe59NJL2b17d6/qGM4WqmbG3/72t5Y6VlZWcvDBBwOx2xpVAVxEJAH5hvgomVPCNVOvoWROCb4hvj7fc9asWZSUlLBt2zYAtm/fzrRp0wgtPf3II48wffr0Pr9Oe8cffzx33HEHDQ0NAHzwwQfs2rWr2+eEVq0DOO2001oC45QpU6ioqKCgoIDvf//7nHzyybzzzjsAVFZW8uqrrwLw6KOPMn369JZgnZeXR3V1NU888UTU6xeq44IFC1r61//973/H5HVai+lSqiIiEjnfEF9UAnfIoYceys9+9jNmzJhBeno6hx12GLfffjsXX3wxv/vd78jPz+e+++6L2uuFXHLJJfj9fgoLCzEz8vPz+fvf/97tc+bNm8eJJ57IiBEjWL58eZvHHnvsMR5++GEyMzPZZ599+OUvf8mOHTs4+OCDeeCBB7jssssYO3YsV1xxBQMHDuTSSy9l/Pjx+Hw+ioqKol4/gF/84hf84Ac/YMKECZgZPp+PpUuXxuS1QmK6mUm8TJkyxd58882o3jMZ12YOUd28SXXzlrVr13LwwQcn7Zrh8a6X3+9nzpw5vPfeez1f3EuxrFvo76KdsDYzUQpdRETEgxTARUTE83w+X0xa34lMAVxERMSDFMBFREQ8SAFcRETEgxTARUREPEgBXEQkRfj9fsaNG9fh/CWXXMKaNWs6nL///vu58sorO71Xbm5ur177/vvvZ9OmTb16jnRPAVxEJMX95S9/4ZBDDonpayiAR58CuIgknVhswxkPdRs28MUTT1C3YUPU7tnY2Nhhy83i4mJCi1/dd999HHjggcyYMYNXXnml23v96Ec/orCwkFmzZrF161YAVq1axRFHHMGECRM47bTT+Pzzz3niiSd48803Oeecc5g0aRK1tbVRq08qUwAXkaTir/Izd+lcbnr9JuYunevZIF63YQMbTj+D//zmt2w4/YyoBfH333+fefPm8c4777DHHnvw5z//ueWxTz/9lF/96le88sorPP/8852m1UN27dpFYWEh5eXlzJgxg//+7/8G4Pzzz+fmm2/mnXfeYfz48fz617/mzDPPZMqUKTzyyCOsWrWqZfcw6RsFcBEPqdhSzWNllVRsqY53URJWLLbhjIfat94CwIKt1dBxX3W15SbA66+/TnFxMfn5+WRlZXH22Wd3eZ+0tLSWx88991xee+01qqqq+OKLL5gxYwYAF1xwAS+99FJUyi0daTMTEY+o2FLNnAUrMAPn4LZjsuJdpIQUi2044yFn8mQAXLC1Gjruq8623OzuGKCpqYnJwdc/+eSTuf7663u8r8SeWuAiHlHm344Z1DY0YQa76jvumyyx2YYzHrJHj2b04r+xz8/+H6MX/43s0aOjct/OttwMmTp1KqWlpWzbto2GhgYef/xxILBPd2g7z1Dwbm5ubtma869//StHHHEEQ4YMYa+99uLll18G4KGHHmppjbfeHlSiQy1wEY8o8g3FOcjJTMc5GJSl/327Eu1tOOMle/ToqAXukM623PznP/8JwIgRI7juuus48sgjGTFiBIWFhTQ1NXV6n0GDBrF69WomT57MkCFDWLhwIQAPPPAAl19+OTU1NRQUFLRsT3rhhRdy+eWXk5OTw6uvvqp+8CjQO4CIRxTk57J0/nTK/Nsp8g2lcnV0t8yV5Ofz+TodmFZaWtry80UXXcRFF13U472qqwPjMG644QaAltb1pEmTeO211zpcf8YZZ3DGGWdEUmzpggK4iIcU5OdSkB9YQKMyzmURkfhSH7iIiIgHKYCLiPQTM4t3ESSB9PXvQQFcRKQfDBgwgG3btimICxAI3tu2bWPAgAER30N94CIi/WDkyJFs3LiRL774ok9v2olq9+7dSVkviF3dBgwYwMiRIyN+vgK4iEg/yMzMZPTo0ZSWlnLYYYfFuzhRl6z1gsStm1LoIiIiHqQALiIi4kEK4CIiIh6kAC4iIuJBCuAiIiIepAAuIiLiQQrgIiIiHqQALiIi4kEK4CIiIh6kAC4iIuJBCuAiIiIepAAuIiLiQQrgIiIiHqQALiIi4kEK4CIiIh6kAC4iIuJBCuAiIiIepAAuIkmpYks1j5VVUrGlOt5FEYmJmAVw59wA59wbzrm3nXOrnXO/Dp4f7Zx73Tm3zjn3mHMuK3g+O3i8Pvi4r9W9rg2ef985d3ysyiwiyaFiSzVzFqzguiVrmLNghYK4JKVYtsDrgK+Z2URgEnCCc+4I4GbgVjMbC3wOfCd4/XeAz81sDHBr8Dqcc4cA3wQOBU4A/uycS49huUXE48r82zGD2oYmzALHIskmZgHcAkIfezODXwZ8DXgieP4B4NTgz6cEjwk+Pss554LnF5lZnZltANYDh8eq3CLifUW+oTgHOZnpOBc4Fkk2zsxid/NAS/ktYAzwJ+B3wGvBVjbOuf2Ap81snHPuPeAEM9sYfOxDYCpwXfA5DwfPLww+54l2rzUPmAcwfPjwyYsWLYpqXaqrq8nNzY3qPROF6uZNqlv36hub2VXfyKCsDLIyEme4T7L+3pK1XtD/dSsuLnbhXJcRy0KYWRMwyTm3J/AkcHBnlwW/d1Zg6+Z8+9e6G7gbYMqUKVZcXBxJkbtUWlpKtO+ZKFQ3b1LdvClZ65as9YLErVu/fCw1sy+AUuAIYE/nXOiDw0hgU/DnjcB+AMHHhwDbW5/v5DkiIiIpKZaj0PODLW+ccznAscBaYDlwZvCyC4B/BH9eEjwm+PgyC+T3lwDfDI5SHw2MBd6IVblFRES8IJYp9BHAA8F+8DSgxMyWOufWAIucczcC/wYWBq9fCDzknFtPoOX9TQAzW+2cKwHWAI3A94KpeRERkZQVswBuZu8Ah3VyvoJORpGb2W7grC7u9RvgN9Euo4iIiFclztBMkRTkr/KzeN1i/FX+eBdFRDwmpqPQRaRr/io/c5fObZlrUTKnBN8QX7yLJSIeoRa4SJyUby4Hg9qmWrDgsYhImBTAReKkcFghOMhJzwEXPBYRCZNS6CJx4hvio2ROCeWbyykcVqj0uYj0igK4SBz5hvgUuEUkIkqhi4iIeJACuIiIiAcpgIuIiHiQArhIkqjYUs1jZZVUbKmOd1FEpB9oEJtIEqjYUs2cBSswA+dg6fzpFOQn597MIhKgFrhIEijzb8cMahuaMAsci0hyUwAXSQJFvqE4BzmZ6TgXOBaR5KYUukgSKMjPZen86ZT5t1PkG6r0uUgKUAAXSRIF+bkK3CIpRCl0ERERD1IAFxER8SAFcEkZ/io/i9ctxl/lj3dRRET6TH3gkhL8VX7mLp0LBjgomVOiTURExNPUApeUUL65HAxqm2rBgsciIh6mAC4poXBYITjISc8BFzwWEfEwpdAlJfiG+CiZU0L55nIKhxUqfS4inqcALinDN8SnwC0iSUMpdBEREQ9SABcREfEgBXAREREPUgAXERHxIAVwERERD1IAFxER8SAFcBEREQ9SABcREfEgBXAREREPUgAXERHxIAVwERERD1IAFxER8SAFcBEREQ9SABcREfEgBXAREREPUgAXSRIVW6p5rKySii3V8S5KQtG/iySrjHgXQET6rmJLNXMWrMAMnIOl86dTkJ8b72LFnf5dJJmpBS6SBMr82zGD2oYmzALHon8XSW4K4CJJoMg3FOcgJzMd5wLHon8XSW5KoYskgYL8XJbOn06ZfztFvqFKEwfp30WSmQK4SJIoyM9VgOqE/l0kWSmFLiIi4kEK4CIiIh6kAC4iIuJBMQvgzrn9nHPLnXNrnXOrnXP/FTx/nXPuE+fcquDX11s951rn3Hrn3PvOueNbnT8heG69c+6aWJVZRETEK2I5iK0R+JGZlTvnBgNvOeeeDz52q5n9vvXFzrlDgG8ChwJfAV5wzh0YfPhPwHHARqDMObfEzNbEsOwiIiIJLWYB3Mw+BT4N/rzTObcW2Lebp5wCLDKzOmCDc249cHjwsfVmVgHgnFsUvFYBXEREUpYzs9i/iHM+4CVgHHAVcCGwA3iTQCv9c+fcH4HXzOzh4HMWAk8Hb3GCmV0SPH8eMNXMrmz3GvOAeQDDhw+fvGjRoqjWobq6mtzc5JyK4qW61TfVU9NYw8CMgWSlZ/V4vZfq1luqmzcla92StV7Q/3UrLi524VwX83ngzrlc4G/AD8xsh3PuDuAGwILf/we4GOiswEbn/fQdPnWY2d3A3QBTpkyx4uLiqJQ/pLS0lGjfM1F4pW7+Kj9zl84N/PYdlMwpwTfE1+1zvFK3SKhu3pSsdUvWekHi1i2mo9Cdc5kEgvcjZrYYwMw+M7MmM2sG7uHLNPlGYL9WTx8JbOrmvKSY8s3lYFDbVAsWPBYRSVGxHIXugIXAWjO7pdX5Ea0uOw14L/jzEuCbzrls59xoYCzwBlAGjHXOjXbOZREY6LYkVuWWxFU4rBAc5KTngAsei4ikqFim0I8CzgPedc6tCp77f8C3nHOTCCRC/cBlAGa22jlXQmBwWiPwPTNrAnDOXQk8C6QD95rZ6hiWWxKUb4iPkjkllG8up3BYYY/pcxGRZBbLUegr6Lxf+6lunvMb4DednH+qu+dJ6vAN8Slwi4igldhEREQ8SQFcRETEgxTARUREPEgBXERExIMUwEVERDxIAVwk3rauh/IHA99FRMIU86VURaQbW9fDXcfQsj7sZS9B3ph4l0pEPEAtcJF4qlwJGDTUBL5Xrox3iUTEIxTAReJp1DTAQebAwPdR0+JdIklE6maRTiiFLhJPeWMCafPKlYHgrfS5tKduFumCArhIvOWN0Rtyoti6PvE+TLXuZskcGDhOlLJJXCmAi4g3xDq4JmpLV90s0gUFcBFJfP0RXBO1patuFumCAriIJL7+CK6J3NJVN4t0QgFcROLGX+UPb3/3/giuaumKxyiAi0hc+Kv8zF06tyUrXjKnpOsg3l/BVS1d8RAFcBGJi/LN5WBQ21RLTnoO5ZvLu2+FK7iKtKGFXEQkLgqHFYKDnPQccMFjEQmbWuAiEhe+IT5K5pSE1wcuIh0ogIukoIot1ZT5t1PkG0pBfm7cyuEb4lPgFomQArhIiqnYUs2cBSswA+dg6fzpcQ3iIhIZ9YGLpJgy/3bMoLahCbPAsYh4jwK4SIop8g3FOcjJTMe5wLGIeI9S6CJJqqtFUgryc1k6f3pC9IGLSOQUwEWSUE+LpBTk5ypwi3icUugiSaj1IilY8FhEkooCuEgSSsTN5FC/AAAgAElEQVRFUvxVfhavW4y/yh/voogkBaXQRZJQoi2S0qt1z0UkLArgIkkqkRZJ6fW65yLSI6XQRfpBqqePEzGlL+J1aoGLxJjSx4mX0hdJBgrgIjGm9HFAIqX0RZKBUuiSECq2VPNYWSUVW6rjXZSoU/pYRGJBLXCJu2TfXEPpYxGJBQVwibvWm2vkZKZT5t+eVAEclD4WkehTCl3iTptriIj0nlrg0j+2rofKlTBqGuSNafNQWJtrdPN8EZFUpAAusbd1Pdx1DC3zqC57qdMg3mXaPIzni4ikGqXQJfYqVwIGDTWB75Ur+/f5IiJJSAFcYm/UNMBB5sDA91HT+vf5IiJJSCl0ib28MYG0d6R92H19vof4q/yabiYiYVEAl/6RN6Zvgbevz/cALbkqIr2hFLpIgmi95CoWPBYR6YICuEiC0JKrcbB1PZQ/GPgu4jFKoYskCC252s80PVE8TgFcJIFoydV+1Hp6YubAwLECuHiIUugikpo0PVE8LmYB3Dm3n3NuuXNurXNutXPuv4LnhzrnnnfOrQt+3yt43jnnbnfOrXfOveOcK2x1rwuC169zzl0QqzKLpBp/lZ/F6xbjr/LHuyj9LzQ98cSblT4XT4plCr0R+JGZlTvnBgNvOeeeBy4EXjSzm5xz1wDXAFcDJwJjg19TgTuAqc65ocCvgCkEOqvecs4tMbPPY1h2kaSnaWukxPRESV49tsCdc//lnNsj2EJe6Jwrd87N7ul5ZvapmZUHf94JrAX2BU4BHghe9gBwavDnU4AHLeA1YE/n3AjgeOB5M9seDNrPAyf0sp4i0o6mrYl4mzOz7i9w7m0zm+icOx74HvAL4D4zC3uOi3POB7wEjAMqzWzPVo99bmZ7OeeWAjeZ2Yrg+RcJtMyLgQFmdmPw/C+AWjP7fbvXmAfMAxg+fPjkRYsWhVu8sFRXV5Obm1x7VIeobt7U17rVN9VTUVXRclwwpICs9KxoFK3P9HvznmStF/R/3YqLi10414WTQg/d6OsEAvfbzrmwbg7gnMsF/gb8wMx2dPPUzh6wbs63PWF2N3A3wJQpU6y4uDjcIoaltLSUaN8zUahu3hSNuiXq0q36vXlPstYLErdu4QTwt5xzzwGjgWuD/dnN4dzcOZdJIHg/YmaLg6c/c86NMLNPgynyzcHzG4H9Wj19JLApeL643fnScF5f4qNiS3X3e3tLwtC0NRHvCieAfweYBFSYWY1zbm/gop6eFGylLwTWmtktrR5aAlwA3BT8/o9W5690zi0iMIitKhjknwV+GxqtDswGrg2j3BIHFVuqmbNgBWbgHCydP11BXEQkBsIJ4JOC3wtapb+rnHMZZtbYzfOOAs4D3nXOrQqe+38EAneJc+47QCVwVvCxpwik6dcDNQQ/JJjZdufcDUBZ8LrrzWx7GOWWOCjzb8cMahuayMlMp8y/XQFcRCQGwgngfwYKgXcI9EePC/68t3PucjN7rrMnBQejddXhPauT643AILnO7nUvcG8YZZU4K/INxTnIyUzHucBxwtm6PiW2JhWR5BZOAPcD3zGz1QDOuUOAnwA3AIuBTgO4pKaC/FyWzp+euH3gWv9aRJJEOAH8oFDwBjCzNc65w8ysoheD0SWFFOTnJl7gDtH61yKSJMIJ4O875+4AQhOrzwY+cM5lAw0xK5lILGj9axFJEuEE8AuB7wI/INCnvQL4MYHgPTNmJROJhdD618naB67+fZGU0WMAN7Na4H+CX+1VR71EIrGWrOtfq39fJKWEsxb6UcFdwz5wzlWEvvqjcCLSC63797HgsYgkq3BS6AuBHwJvAU2xLY6IREz9+yIpJZwAXmVmT8e8JCLSN8nevy8ibYQTwJc7535HYM53XehkaKtQEUkgydK/31gH5Q/qg4hIN8IJ4FOD36e0OmfA16JfHJH40SYsCWLretj6Prz+32gwnkjXwhmFrqliEjmPTGvSJiwJJDT4TovtiHSrywDunDvXzB52zl3V2ePtdhgT6chD05q0CUsCGTUNPnhKg/FEetBdC3xQ8Pvg/iiIJCEPLVvqiU1YUkXeGMj7Khx4c8JnbkTiqcsAbmZ3BX+82cx291N5JJl4aFpTwm/CkmoysqHw/HiXQiShhTOI7T3n3GfAy8BLwCtmVhXbYklS8Ni0poTehEVEpJ1wBrGNcc6NAo4G5gB/ds59YWaTYl468b5kmdYkIpJgegzgzrmRwFEEAvhEYDWBDU1EREQkTsJJoVcCZcBvzezyGJdHRDxMc+lF+k84AfwwYDrwbefcNcA64F9mtjCmJRMRT9FcepH+1eNuZGb2NvAAcB+wDJgB/CLG5RIRj2k9l94scCwisRNOH/ibQDawkkDf9zFm9lGsCyYi3qK59CL9K5wU+olmtiXmJRERT9NcepH+FU4Ar3fO3QIcEzz+F3C95oKLSHuaSy/Sf3rsAwfuBXYCc4NfOwj0h4v0O3+Vn8XrFuOv8se7KCIicRVOC/wAMzuj1fGvnXOrYlUgka74q/zMXTq3ZW+Ukjkl+Ib4YvZa5ZvLKRxWGLPXEBHpi3ACeK1zbrqZrQBwzh0F1Ma2WCIdlW8uB4Paplpy0nMo31wek+Danx8UREQiFU4AvwJ4wDk3BHDAduDCWBZKkkgU9wMvHFYIDnLSc8AFj2Ogvz4oiIj0RThroa8CJjrn9gge74h5qSQ5RHk/cN8QHyVzSmKe2u6vDwoiIn3RZQB3zl3VxXkAzOyWGJVJkkUM9gP3DfHFvDXcXx8URET6orsW+OB+K4UkJw/tB95ef3xQEBHpiy4DuJn9uj8LIknIY/uBi/QnbfwifdVdCv327p5oZt+PfnEk6Wg/cJEOtPGLREN3KfS3+q0UIiIppPXGLzmZ6ZT5tyuAS691l0J/oPWxc25w4LRVx7xUIgJoQZlkpY1fJBrC2Y1sHPAQMDRw6LYA55vZ6lgXTiSVaUGZ5KWNXyQawlnI5W7gKjNbDuCcKwbuAbwzpFjEg7SgTHJL1I1fNLjOO8IJ4INCwRvAzEqdc4NiWCYRQQvKSP/T4DpvCSeAVzjnfkEgjQ5wLrAhdkUSEUjuBWXUyktMGlznLd1NI3vIzM4DXgZ8wGICa6H/C7ioX0onkuKScUEZtfISlwbXeUt3LfDJzrn9gQuAmQSCtwUfc7EumIjXaQR559TKS1waXOct3QXwO4FngALgzVbnQ4G8IIblkjhTirNvNIK8a2rlJbZEHVwnHXU3D/x24Hbn3B1mdkU/lkniTCnOvtMI8q6plScSHeFsJ6rgnWK8kOKsvHI+u156iUHHHMOoPy6Id3FahNLmwwcO1wjybqiVJ9J34YxClxST6CnOyivns+uFFwDY9cILVF45PyGCePu0+a3Ft/JZzWfqAxeRmFAAlw7inuLcur7bHcx2vfRSt8fx0j5t/lnNZ5w+9vR4F0tEkpQCuHQqbinOrevhrmNoacZe9lKHID7omGNaWuAAXxQW4K/yx72Vq4VXRKQ/pcXqxs65e51zm51z77U6d51z7hPn3Krg19dbPXatc269c+5959zxrc6fEDy33jl3TazKKwmiciVg0FAT+F65ssMlo/64gEHHHguZmbxxYBr/dewnzF06F3+Vv79L20Zo4ZVrpl4T0ajzii3VPFZWScUW7RckIj2LZQv8fuCPwIPtzt9qZr9vfcI5dwjwTeBQ4CvAC865A4MP/wk4DtgIlDnnlpjZmhiWW+Jp1DTAQebAwPdRnS+5P+qPC1i8bjF/ev2mNiO9m+vz4jq6OdKFVzTyX0R6K2YB3Mxecs75wrz8FGCRmdUBG5xz64HDg4+tN7MKAOfcouC1CuCJqof+6x7ljQmkzcO4R/uUdX7GQR2CoFd4YeS/iCSWePSBX+mcO5/A4jA/MrPPgX2B11pdszF4DuDjduen9ksppffC6L8OS96YsJ7Xfq3w1z9I6xAEh/f+1eMi0Uf+i0jicWbW81WR3jzQAl9qZuOCx8OBrQTe4W8ARpjZxc65PwGvmtnDwesWAk8R6KM/3swuCZ4/DzjczOZ38lrzgHkAw4cPn7xo0aKo1qW6uprc3ORsEUWtbjXbYMcnYM3g0mCPfWHg3n2/b5jqG5tZt/nL/uOxw3Kp313jmd9bfWMzu+obGZSVQVZGz8NTvPQ3mcx1661krVuy1gv6v27FxcVhLVfery1wM/ss9LNz7h5gafBwI7Bfq0tHApuCP3d1vv297yawdzlTpkyx4uLi6BQ6qLS0lGjfM1FErW5b18Nd8+lzC7wPxrRbAla/t/hr279fH1b/vlfqFolkrVuy1gsSt279GsCdcyPM7NPg4WlAaIT6EuCvzrlbCAxiGwu8QWDd9bHOudHAJwQGun27P8ssvdCL/utY0QpfiUf9+yKxEbMA7px7FCgG8pxzG4FfAcXOuUkEmmh+4DIAM1vtnCshMDitEfiemTUF73Ml8CyQDtxrZqtjVWaJgjD7ryV1qH9fJDZiOQr9W52cXtjN9b8BftPJ+acI9IdLMujrKHXxnLiv7CeSpLQSm/SfaI1SF89R14ZI9MVsJTaRDsJYZS2ZaGU1EYkltcCl/4S5yloy0MpqIhJrCuDSfxJglHp/0chrEYk1BXDpXykySj008jo7I42m5mb22WNAvIskIklGfeASvq3rofzBwPcu+Kv8LF63OO47g/VZGHXtTkF+LnecUxhMoTuueKRcfeEiElVqgUt4whhB7q/yM3fp3JZLItlSMyFEabT8f3bsJj3NKY0uIjGhFriEJ4wR5OWby8GgtqkWLHjsRVEaLa8FTEQkltQCl/CEMYK8/faehcMK+/aa8Vr0JUqj5bWAiYjEkgK4hCeMEeTtt/fsU/o8nou+RHG0vBYwEZFYUQCX8IUxgtw3xBedfu/WaezMgYHj/myFp8hoeRHxLvWBS2JKoUVfREQioRZ4CvFX+SNOb1e022c75lJo0RdJLP3+ty4SIQXwFNF6ilczzcwbP4/ZvtlhBfK4LQuqNLb0My2BK16iFHqKaD3Fq66pjjvfuZO5S+eGteBK62VBzQLHIslIf+viJQrgKSI0xSvTZQLQ0NwQ9lxtzWeWVKG/dfESpdBTRGiK13MfPcc979yDw7XM1fZ/4u/2uZ6ZzxyveeOSNDzzty6CAnhK8Q3xMW/CPGbvP7vNYDY//h6fm/DzmXs5b7z1gD4gOnPXE40+0EQk4f/WRYIUwFNQ1OZqR0HURvz2Yt54+wF9Lvifp9dvby+eC+GISL9QAJe4ieqI317MG289oC/TZYILjAnISc+hfHN5cgTweC+EIyIxpwAucdN6xG+fd+vqxbzx1mu2h1rgGekZ0Vm/PVFoIRyRpKcALnET9RG/Yc4bb79mOyRhH7gWwhFJegrgEjfxHPHbfhxA0gTu1rQQjkhSUwCXuNKIXxGRyGghF4kLf5WfxesWh7USnIiIdKQWuPS71tO4kmrqlohIP1ILXKhvqu/X1nDraVzhLucqIiJtKYCnOH+Vn4qqCm56/aawNzfpq9bTuJJq6paETV0oIn2nFHqKC7V+a5tq+20hk9bTuIYPHN5SBqXRU4O6UESiQwE8xRUOK+QZnun31nDoDVtv5KmndRdKUq1+J9LPFMBTnG+Ij4IhBVwz/pp+X8hEb+SpSV0oItGhAC5kpWdx+tjT+/119UaemtqvhKcPbSKRUQCXuNEbeepKpB3xRLxKAVziSm/kIiKR0TQyERERD1IATxZb10P5g4HvXpYs9RARiTGl0JPB1vVw1zG0zMe67CVv7kIVST22rteWmSKSkhTAk0HlSsCgoQYyBwaOvRjMeluPZPngIiISAaXQk8GoaYALBD1c8NiDeluP1gEfCx6LiKQGtcCTQd6YQOvT66nk3tYjWT64iIhEQAE8WeSN6Tzgea2PuKt6dHVtMnxwERGJgAJ4MkuFPuLeBPw+qthSTZl/O0W+oRTk5/bLa4qIdEUBPJnFYnCb11r0UVKxpZo5C1ZgBs7B0vnTPR/E/VV+rYIn4mEK4Mks2n3EqdCi70KZfztmUNvQRE5mOmX+7Z4O4NrSU8T7FMCTWbT7iJNluloEinxDcQ5yMtNxLnDsZdoJTsT7FMCTXTT7iHto0SdzSrYgP5el86cnTR+4doIT8T4F8FTSRf91fVM9i9ct7jnwdtOiDzsl6+E+9IL8XM8H7hDtBCfifTEL4M65e4E5wGYzGxc8NxR4DPABfmCumX3unHPAH4CvAzXAhWZWHnzOBcDPg7e90cweiFWZk1oX/df+Kj8VVRXc+/q94fWFdtGiDysl66E+9FQYca6d4ES8LZYrsd0PnNDu3DXAi2Y2FngxeAxwIjA2+DUPuANaAv6vgKnA4cCvnHN7xbDMyauLVcvKN5cDgcCLfXncW2GlZMNdOS3OG5qERpxft2QNcxasoGJLdVzKISLSnZi1wM3sJeecr93pU4Di4M8PAKXA1cHzD5qZAa855/Z0zo0IXvu8mW0HcM49T+BDwaOxKnfSCvZfN2fk0NRs/GfwRPYjEGif4Zk+94WGlZINZ1R8f7XSu0nlJ9uIcxFJTi4QM2N080AAX9oqhf6Fme3Z6vHPzWwv59xS4CYzWxE8/yKBwF4MDDCzG4PnfwHUmtnvO3mteQRa7wwfPnzyokWLolqX6upqcnM98ibeWAf11ZCVCxnZLacb6mrZsm07uxhAPZmMHZZLVkYaO3buoDmrmYEug6zGug7P64+ytajZBjs+AWsGlwZ77AsD94745Tr9vTXWwdb3vzzO+2qbstQ3NrNu85et7tC/U6Lx1N9kL6lu3pOs9YL+r1txcbEL57pEGcTWWWGtm/MdT5rdDdwNMGXKFCsuLo5a4QBKS0uJ9j1jopsW7GNlldywYk1Ly/K6sWM4u2hUoG7jRiZG//TW9XDX/G7L4a/y8+yHK2mqGc0JXx3fbeu4099b+YPw+n9/OR3uwJuh8Pw2l4zxQB+4Z/4mI6C6eU+y1gsSt279HcA/c86NMLNPgynyzcHzG4H9Wl03EtgUPF/c7nxpP5TTu7qZq93tXOZozPGOxgjzHuauv/LJK1z54nwamgxI44/Lf8DSy0/rXZANI5WfTCPORSQ59XdecAlwQfDnC4B/tDp/vgs4Aqgys0+BZ4HZzrm9goPXZgfPSVe6CU4F+bncddEoTjn6Y+66aFTbABV6XsYAaG6Ewfv27nVDLf+nrw58780AtPaD1vLGQOH5VNg+PFZW2TKIzF/lZ/6y+TRaAy6tEWiG7A2U+bd3e3t/lZ/F6xbjr/J/ef/LXoITb+5VpqHDfURE4iiW08geJdB6znPObSQwmvwmoMQ59x2gEjgrePlTBKaQrScwjewiADPb7py7ASgLXnd9aECbdKGHudo/WnkhGCzbcg8lQ1tNGcsbA3MfgkXfDPQ9l5zXuzR6pC34LlL+na09vuqLctJc4DNnYOiGQd3obldFq2+q7zA/vbk+jzJ/FkW+0ynIC6+VraVHRSTRxHIU+re6eGhWJ9ca8L0u7nMvcG8Ui5b8Ip2rvfMTSMvoPgh3lSaPdN31LgJ/ZyPBpx5YSJpLIzs9myZr5qx9f8k35xzbbaq7prGmTZ2f/XAlf/j70F5vSqKlR0Uk0STKIDbpBz3O1e4pCHc3xSvSdde7eM3O+ut9Q3J7vXrYwIyBbercVDMas6qWDwbPvP8u+3zxaY/309KjHaXCYjciiUwBPIX0OFe7pyBcuZLK5QPY9Ukmg/ZtYNSJ7Vrokay73sVrdrX2eG9XD8tKz2pT5+b6PP743IrAB4OsLdzn/yXOT49pcS092lYybq8q4jUK4CmmxwDYTRCuvHM5uzZmAbBrYxaVdy5n1N3nd3ptr3TxmtEaCd6+zqEPBl+kr2DhmvDT4km39GgfZg1osRuR+FMAl7Dteq2c1lPzA8df8kpKNfTBwF81jYVrb0vNtHgfV7xLtu1VRbxIAVzCNuiYY9j1wgttjkNimVKN1TalSZMWj6Ql3cd5/8m2vaqIFymAS0AYQWDUHxdQeeV8dr30EoOOOYZRf1zQ8lhYKdUIAk1vp2/1Ngvg+bR4pC3pSGcNtKLFbkTiSwE8SfSpldpYF3YQaB20W+sxpRphoOnN9K3OsgBJL9KWdKSzBkQkYSiAJ4HuWqlhBfb6ajoNAr1oMfeYUo0w0PRm+lZnWYDhPb6Cx/WlJR3JrAERSRgK4Emgq1Zq2OnnrFw6BIEIWszdplQjDDS96afuLAtQuboirNfxLLWkRVKWArgHtW9Vd9VKDTv9nJHdMQiUP0hXLeYu+5m7a7H3IdCE20/dWRagMuxX8TC1pEVSkgK4x3TVqu6sldqr1cPaB4EuWsxdjjYPp8XeWaCJxg5mrWhgVR9E+XchIrGlAO4xXbWqO2ul9mmaVBct5i5Hm0fSx93HucgSRfpdiHiOArjH9HZN7j5Nk+qkxdy6n9nnNvG1mo9h68zI+rijsQd5gvHKYjYdJOHvQiTZKYB7TEwXHwkjhRrqZ177XjknvvIz0lYAK4Ittt72cfcQ9L0WDD29PngU5oWLSP9SAPegmCw+0osUakF+LgVD/IFVVVu32ArP712rrZuBbV4Mhp5eH1yj2UU8RwE8SfV6YZfeplCj1WLrYgS1F4Nhf60PHvrd5jZF+d9Do9lFPEUB3EPCDcq9XX4U6H1AjnGLzYubZfTH+uCtf7cXD7wYf5Xf20vBikjEFMA9ojdBuTfLj7aIJCD3osXW04eP9o97dbOMWE9ja/27DR0rgEcuVhvliPQHBXCP6E1Q7u1I9Ra9TKF2++bXakCcPzOj2w8fXX040Zzujtr8bkmxLVCjLKJMlUgCUQBPcKGR2F/JOyjsoNwf22R2++bXbkBc+Ym/7PbDR0QZgxTT+sNS6HebW5mrf6c+0N+deJ0CeAJrPxL7rovuZ0vj/4UVlHs7Ur39lK2epnB1++bXbkBcYd1uDMh02RgdP3xEnDFIEZ19WDp97OmUflIa76J5mv7uxOsUwBNYaCT2bvcfcnIreXnDbg7aL/qvU9/Y3OaDwh3nFHLFI+UdpnC1Durdvvm1GxCXnjeTXS/sDdkboG40zfV5bV6/PzIGCSHCpUrVUoyNlPm7k6SlAJ7AinxDcVlbGDRyAWA8+vHjZH+STVpaWlT766p210LuW+yuHsUA24clb2/qMIUL6DAvu8s3v3YD4lZuyMLq86ndNbTLKWExmdueSPqwVKlairGT9H93ktQUwBNYQX4u//WNdO5812ikAYC65jpyXPRaYf4qP1vrPyYt/+8Mync0b/wBJ08s5On3/tNmCldn87LPLurmza/VgLgiq/bclLCo68NSpWopikhnFMAT3Ljh+9P4bkPLcabLjGorrHxzOQ5waQ1kumwu+0Y6M746rNMpXO2DcLhTcLw6JSyq+rjwjVqKItKeAniC+6zmM7LTs6lrqiMrLYsTRp/ApeMvBWDxusV9bpEVDivkGZ5pSc8ef0AgsLSfwtU+CKdlbe3VFJxEmBIW1zm/WqpURKJMATzBFQ4rJM2ltQTYUPCO1vxV3xAfBUMKuGb8NWG1pENBePG65/o0sKq/NypJiDm/WqpURKJIATzBddb/uXjd4qiOSs5Kz+L0saf3eF3rFmxPA6v+9f5mlry9iZMnfoUZXx3W5rF4bFSikdwikmwUwD2gff9nPEYld9aC7WpgVcmqt/jZ0/+ksdbH38o/4YGLitoE8a42Kukuxd3XFrtGcotIslEA94D2ga3Po5IjmI/cWQv29LGnd3htf5Wf37x9Gdn7NJONY9eG+Sx5e1ObAN7ZRiXdpbjDarF3Uid/lZ8v6r5o2fBDI7lFJJkogCeQzlqg/io/c/95Fs1NjTQ7WDDrjxy171GRj0reuh7unA7WBC4dLl8R1tPCacFWbKnmllefpqm5GZfWgDVnkpHj5+SJX29zXWcD4u559x6am5sD0+Tapbh73Fq0kznWofXXL865mLlL57Z8IIhZ4I5wkRYRkUgpgCeIUKCmuQnS0ik56XF8Q3yUf/gMzQ011KWlQbMxf9mVLD75ycgD0Zq/Q2Nt22Om9Pi0nlqwoVZyY9pAsvZ3WHMm4Dj14KM69IHDlwPiQi3vZgsE7+y07A4fEPbZYwBNzUZ2Rlrn88g7mWNdPjgXDJqtmcamZp79cCWXFbYtc9T0YZEWEZFIpcW7ABJQ/uEz0FBDrTVAQ03gGCis200zjlD+OM0skM6Olpptga+t63u81DfE12Xa/O5/P4plbKF+dx67NsyncfPJNG/8AVccdWS39wyl5uua6shOz+b40cd3SJ9f8Ug5zoGZccc5hR3T553MsS4cVogB4KhvMv7wv01UbKkO8x+ll1p/gMCCxyIisaUAniAK63YDjpzmZsAFj8E3dg4Ltu0gE8hubiYtLbNvA7AOORUyciA9C9Kz4c37YMcngRZkGEG8vVAL+oXP7iZzv1s5ddBTfNWauLLoHJZeflqPA85ap+YdaQyqL+LZD1fir/IDX6bP6xqbSU9L4z87dne8SWiO9Yk3t7R+fUN8XOT7A9a4J7s2zMfq81uWhI26Pi7Skur8VX4Wr1vc8juXFLN1PZQ/GNH7T6pTCj1B+MbOoeSl31OelUFhfSO+k+YEHsgbw1EXLmPxuqWUZw+g8IAT+taPmzcm0O9duRKqN8PL/wPWHOgTf/l/4OgfRbTRRl3zbnJo5qhB/8stbjFpE16GvJ5Hi4dS889+uJI/PLuFvzbcAB8Zf1mTweMnlVDkywtvGdZO5lif8NXxPF25hQG2V2yXcNUiLRFLiPn5Ej/qfuoTBfBEkTcG33dK8XUWBPLG4Mv7Ab7e3rOrgVWhYLd1Pbx8C+CgcTesXgxr/hHZRhsuE6inqGYnaS6r12t979mUBun3A4ZLa6CpOa1lpHuky7AW5Ocydlgu140dE/sFY1JkkZbu5vdHQvPzU1wf9ggQBfDE0kkQiHj5z3A+2YZajitWQsaAQBDv7UYbDY2UFGpYdZoAACAASURBVHyb8qZdFL5yBz6XRSRp5Gl7fs7sus9YBjQ3Z5KemdbSVdCXZVizMtI4u2hURM9NJtFY+e5f72/mgvvKADqd3x8Jzc9Pcep+6hMF8AQWaXrRX+WnfNWdFGY4fLW7Og3KrT8YkDs8MKUsjP+J/FV+yj98hsK63fjyxkPJefgwfDiY+xDs/KT3aeSt69mv5ERucc1U/Ced0qN/yrHjT1FLLEqitfLdkrc3dTjuawDX/PwUp+6nPlEAT2Ct04vZ6dnc8+49XDr+0m7f5L4M+s0wbC9KNoOv0doE5fYfDG7c50Y+nvs0n76znBETZrJfF/8TtUx1a6gBHCX/2YrPDBp348/JpfyjpyksurLNHPaw3piDabS0xlrGuIGMGbgX6I08anqcRx+mkyd+hb+Vf9LmOBpiNT+/v9fblwilSPdTLCiAJ4Iu+qoD6UQj26VT11THsxue5fmPnufW4lv5rOazTgPjl0G/jpzMAZRP/ha+SZdD3piWgLq1dmubfscdddUc/1AzZgfh3v6UpfMP6PQN7zn/czQ219OQlkZOczPPDcwhr6mJ4c1Z/GDvITRtepH0f/6Lx096HOjFhisJnEZLpCAQaVk6W/kuEjO+OowHLiqKah94rMRjvX2R/qYAHm/d9FX7Ghop+eRT7snN4dmBWdRRRzbZzF82nwyX0Wlg7NCnWHQlDPG1aXVb8L/QNdac3WMLzV/l5+5376bBmsGMJue4e49BpGVk09DcSCPNYI00NDXynP858gbmhT84qa9ptBitgpZIQaCzsoT0lOmI5n7sM746LKEDd0i0sg4iiUwBPN66G4VZuRJfYxOXfr6d5wfuQw5pNFoTaWnpXQbGrvoU24/2vXT8peQNzKNwWCEflFXgXH1LC+0redUd9hov31xOWnDZgMy0TKbn+ni15mNqm+rIIANo/rJOLoLBST2k0bpsfYY5DSWS1msiBYHOyjKc8MdJJMJ+7P0pWlkHkUSmAB5vnaWPQy3KwfsCDh8ZlHzyH8oH5TK8yfjhPsO7DYyd9Sm2D6izfbO/7KvO8Le00L6SV82PVl7YNiA0NFK4tRJatdrnTv0xr5b+kOz0bJqam8ggEzMjPS2d2fvPjurgpH+9v5lLH3wT5xzpaa5tSziMaSiRtqQTKQh0VpbK1RWahtWFaGYdRBKVAni8BdPHW1Yv543mrzLh813sV3IiLRF07kPw3hP4Vi/GV/UFZA6k5IBzKM8b1avA2FNADbXQOuw1/uEz+J6+Hh9GSUY65cf9vGUxmVuLb2X+svk40qhvMpo/PxZ2TaC5Pq/lNfsaTCq2VHPpg29R32RAYD30Ni3hMPrPI21JRxwEYpDS76wslWgaVndSLesgqUcBPAFU2D7MeXE/zGo4wy3l+qxm0hprA0Fp5yeB1dHW/CMw0jsri8IRh3G6b0avXyecgNohINTtJtTC9TEQHwNbRoh/VvMZGS6D2uZaIJOGukFkBJcsjdYbZ5l/O859eWxmbVvCYfSfR9qSjmjQWAxXluosIGkalkjqUgBPAK1biG9lHkSTQVrGAGhuDKTR88bgP+dR5r78Q3Bp8MpPKNkrNktOtgSE1nO9u2jhhoJ9dtoAdjc3k9FwQNRTzUW+oaSnObIz0jCDe86f3DGY9tB/HklLOuIBbO1S+ltWL2fZwKyYpnFjuk2qiCQsBfAE0LqF+JH7Clu//hdGPHVRIFiXnAeXvUR5wzZwGV32dYYz57q7a9o81tCI7+nraZPG72SBltatv/yMg9i0NTfqgSpafZm9TadGPICtVUq/2eD8F9Px25q4j2IXkeQTlwDunPMDO4EmoNHMpjjnhgKPAT7AD8w1s8+dcw74A/B1oAa40MyiuJ9m/LUPUiM+XgxpGW0GZhUecExLatswttZuxV/lx9duilhXI5HbTyO7dMKlLYPN6pvq2z6/4Nv4gq3IxvQcPt9UQf6MSzste5vW3+jY/fv0d+CLKO0e6vsOfuB5usqHf1lNQoxiF5HkE88W+Ewz29rq+BrgRTO7yTl3TfD4auBEYGzwaypwR/B7UmkdpPy79ue5wTlgA5i9uwHfqGn/v70zj4+quvv/+9xZs0AWEgKyTSIIooiExYILVC0qdUULttZaN7Qqrba20vZ5ntr+Wts+T6212IpAXbAugKJSRQWVRUARiGyCCIQhbCEJEEK2mbn3nt8f985kkkzIYrYJ5/16Yebee+bOPXPH+cx3Od9vxNpd6l/K7K2zmbtlLrO3zGbasGnWCRrJRI7OVgaYtWkWc7fOZcHVC6jUK2s/3+Olv4Rq6aFACKZ9toM/9N/OxdlD6113i2u1d3KabfmX7MacdTGmlGhCoN37MWfLXojlqztFFrtCoeh6dCYX+nXABPvxC8AKLAG/DpgnpZTAp0KIVCFEbynl4Q65yjbGf8LPd1Y/THVKEgDPCBf3HPqIiS4nvhQfGYkZaGg1QrxlFprQEIhTZiKH49UuzUXIDBGSIZzSSV5RHsnO5NqJa2deybsXDmXZ6vl82OcTJCv4yccfsyh9YT23fVu1gjzluu+mZniX7IbKo9bfFiSSNcfyL/5iOUkhg0QRoFJ6qPhiOTnj71ZLmRQKRZshLF1s5xcVYi9wHOur/xkp5WwhRKmUMjVqzHEpZZoQ4m3gT1LK1fb+D4FHpJQb6pxzGjANICsra+Srr77aqtdcXl5OcnLbfwGXBko5XHGY6PsiEAghyEnJASD/RD5SWtXUADShkZGQgVNzkuhMxO1wxzx30AhSFiyjuKoYgZXanZOSQ7AqiDvBTaVeSaIzEYDiijJKq6oRzpOARAhB76TepHpSCRpBKvVKdFOnpKoEU5oIBJkJWWQkNm5lBnWTiqBOktuJ26nFPL6rqDyyPahnsjVOD0DJzpqBGYPB6Yn9IvbYck8vkgOFpx7bCpw4WU63k3si2ye7nUlKt7b9vLTXZ7IjUHOLP7rqvKD95zZhwgTR+KiOs8AvlFIeEkL0BJYJIb48xdhYE6n3q0NKORuYDTBq1Cg5YcKEVrnQMCtWrKC1zxkL/wk/f/jPH6g2qmvtT3AkMGPYDCYPmoz/hJ+l+5YyZ8scS4gFLLgstvUby8Ud3peVmMWRyiMkFyQz8bKJkWM3Lv4OAd2InMPt0HA6NBZctgCgVizdlJKAbgICc/uDvH3vxFNamrWzu4ORxK7o61z3lcZTK7dHYsePDhrI1OwgfPw47F5U0/b0rD9D7g9iv1DePFj3R1bkPMKE/D+femwrkF9czv0zixjJl2xkCP+YPqHNLe7mfiY7U133xmiv/986gq46t646L+i8c+sQAZdSHrL/Fgkh3gDGAEfCrnEhRG+gyB5+AOgX9fS+QO2+hl0IX4qPhdcsZKl/Kcerj7Nw10I0NExMSiprEtemnTeNiQMmnjL+XMvFjWTBmbfgG3Q1PtudfNN/bsI0Te5Ovjty3ryiPHTTRGghpOkiWPxNzunbjz9/+3p8Kb56hV7G9ZjCh9uqqCrvj1c2vgY8Vna35i6p5Yp/fNzztRLIxqUeh2euAmlY4u300mjTEzsbPCg0FiV6yU0fQP13qPXIyUzmH9OnsN5/jDs6oUB2prruCoWidajvv2xjhBBJQohu4cfARGAbsBi4zR52G/CW/Xgx8ANh8Q3gRFeNf0eTkZjB1CFTee2a17jrvLsQCOZuncuUt6fgP+EHLLGfPGhyg3HnWolroUryPv2bVWSkZDdL9y0lYAQIyRBSSpbuWwpYsXKnpiFNFyAIlQ/j4qxvM/P9UlbuLKpX6GXK2d+G8jF4Za8mJWrFyu6udZ0SivUveXv6RTx67VDenn4R/U5uBmSNeJ8zufECKRkDWXPD39jjcvJYRhpT1vw88r61FTmZyUwd3b/NhDG/uJz56wvILy5vfHAdon84SWltKxSK+KYjLPAs4A1rdRhO4GUp5XtCiPXAAiHEnUAB8B17/BKsJWS7sZaR3d7+l9x++E/4+c5/voMhDRzCwcJrFpKRkIFANLvedURshQMwya04CVKD7W9CSvfag+2ghC/Fx+vXLuSVLSvYdzCLc8cP5C/LvgLg9byDvHD76HqVv96e3r9R12y0i7xuYpfmrl8O1JcSlUAm6pRLvfhnjSal+U/4mb7xT9yVeBcBM4RLiqa9b23U2ezrcqpuZE2hM9V1VygUrUO7C7iUMh8YHmP/UeCyGPslcH87XFqHERE3Vw+WfvlqJP4dIsRS/1Im+ia2uN71XTk3wGezmXiyDJ+uWztX/YWJ35/PHIcXQxoIIazXsPGl+PjlxT8E4GcLNtU63+LNh3h88Pm1hLCxbO1Y2epTR9c8v9FyoC1oN5pXlIewHUxSQtA0yHQOOfWT2rAM6teloW5kTaWpy+ImP7Wazw+cYETfFBY90LwfCQqFon3pTMvITktqxM2EUDU3lldCt0TCBcC/OPYFE30TYwrcmoNrWLJ3CZOyJ3Fhnwtjn9fQoXsSE0+W1RwUAt+xfSy8ZqG1jKwguUHL9NrhZ/B63sFa29HUTYyKlShVt2PW0n1LyUjIqDWXhsqB1pyvFznNSELL7ZmLlAKr4bkD4/DtHCpJPnWxmSZ0NusoGupG1hwa+6E1+anV5B04AUDegRNMfmq1EnGFohOjBLyDqRG3AAlI0vQQHgmG0NAxWXNwDZ8c+oQnJjwReY7/hJ8FOxfw4o4XAVi8ZzG/GfUEN51zeeT4nK1zMKVJQIbwItmQmIyvrLRWAlhYNFccXNHg9Y0f3JMXbh/N4s2HuHb4GYwf3DNyrK5b9+lbcvnRS3n1EqWi4+YmZu3s+VOsHf86iVe+FB9PXvwCWz7bjLH/Zwg9M+I2bjAb+xSdzVpasKalmd91X6+hbmStyee2eDe0rVAoOhdKwDuYGnHzgFnNxKDJxKJS5gybyHsleQSMAG7NzfSPpuMUTkysNdchMxQ5h5Twm49eIrfnNyIZ3aZpEjADSNNFAFhdMYELr7mK3uIY/vQB5B3fQq5dHKYxxg/uWUu4w9R16y7efChm/fBoF3lJZQlzt85tUjy/ufXI64rlxdlDqdpTyKNXDazlIWjwR0EdV73f5SRv1yKyErN4aMVDzS5Y09IfIA0VyGnrkrIj+qZELPDwtkKh6LwoAe9gIiVS9y2FiqMwJAFfxjBGvn0ni9OsL+ugGcSJiyqqcAkXCDCktU47XO8l82Q/SlbN5UC2FyQEzABOXARPDudkyXjel70Yaw7lgrPMeuLQZOokeNV16147/Aze3VYYM1EqbO37T/iZu21uk+L5jSVeRVupZjAjpli6nRpTR/ePPKfRHwV2Z7NoEdWljiY0AkagWUmEzf0BEp5PSVVJo6Vx24JFD1ykYuAKRRyhBLyTMHfrXJAwV8ATwW/z+9RwBrZAmIIQJl6nF4REIHA6nOjSIFB2FpknBrEkMIvCXS42HfAg09PspicQOHEpXpkZtWRraT1xSKeJjTqiErz2T3mX9aVpPH1LLoVl1RELt7FEqeb0rz7V+epaqT8c8GSTxLKp2djRcXuP5sGUZrOTCJuT+V232YxEtihp8euiRFuhiB+UgHcgEYursrbFtSR0FA1ptROVEtAYVziCM84dzA8vuRmgluVZsmouhbtcTM1KxUDwi39Xcu5+gSN3OJ4nbmh0yZb/oL/xi41K8DKdCTzz4ku8Li+t5xpuipu3bsLaqeLLDZ2vbmKcI3EvQqQ3KpZNzcauu979yQlPcqTySL1rbOzam1oLve587h52NxmJGc2OuSsUitMHJeAdRLTFFY5rh8Vi0tlTWVb4CS4jhC4lfztSwkXVi3FudqKNvQkyBtZexjX+amYf/DvVQjDjFYPz9gFI2LCJ4gemcsHsf+BLscTDl+LjiQlPsGTvEkakfZN1X2mk6Wbkmhq0jO0EL39CMutdLj41s6iqtKzd93ZupVfp4RaJTVMbotSNb9cV2KFp53PfBBcAk4b1PqVYxvxRsOtD2PYanHsTDLqsSZ6Chq49+n2EjCa9D3XnM9E3UQm3QqE4JUrA25mGrO4bB91IWaiMSdmT6JPch7uG3W0lQudv5vjRNzjkggF6tVWE5ZKHa580YyCMngZfvcQwOzVZYOlKwpZ8Ji+ezMxLZ3Jhnwvxn/Dz0IqHME3JW7vew9j/IA8MTKHsiw94LO8XaGhomlZfSDMG4r/lFaasehBDSoJpL5Jw+HaEkc5z/v9B+Gl2gtd6/zFKHWsbjffGTgarEdhM5xDuea4gcnzSsN7Nuym7PoSXJluPN78MtyyKiPip5lLXas4rstrU17jCoWLvdGQws9EktqaGFlbuLIqsCFAoFKc3SsDbkYasbomM1Dx/3/++1X0MgYkJho7WIw2A+QcLSakIxoxYTxx6M7N3zWd7P53zCrA7lQm29oeQGWL6R9NZdO0ilvqXEjJ0dBkCXOiuPSDO4/cbfo6BVejFg6e2kNrJa3mV+zGNIEFNAyHx9HmOmwfdxaL85iVc1RJkt0FS9qmL1DSUDBYW2PnrCzBMq6mKx6k1mixWj22v1d8eVK+mUD3qWs25PXNribpLeMCzl6qK9CYlsTX2g2HlziJue249YFXFe+qbbdddTaFQdH6UgLcjdS22u867i4yEDEqqSpi7Za79pW9lmYfMEA7hACSGpuE1TdZ5E+nmvYhvxzi3L8XHtEFTeOx7L/HLlw3O2W+J95++Z99iKfjLmgWsLZlfawmaFszBqVXiNIMYmhVzN6VVtWz++gLGpR6n34KrAEmuJjF6ZxA2dZ0I0pPdza4SV0uQyeR235P0ymrYBd9YMliv7l67IxoEdJNe3b1NvCM2595kWd7R2zS+9rtBq9l+PyRAILvVypcu3ly7h09pZaiBkQqF4nRACXg7Ui/OOWBizdKqrXMjhU5MaYmRIQ2QEo+UCOA/Vbfyp74pVqvM8DplWzwOlh9k5lcvgxA8douzpuGqBIdwEjTgoy+L0dKklRtnOjCOXcrVZ59Hv4SdaJUCj2liCsHvM78dcUnfKD7id24TTa8CbxKaHe9FSnBoTOw+mIk53yPP4yU3/Wx8e1ZBf712BbNGlp9dOXgYOZljG3zfGksGKyyrxuPUIhZ4YVl1A2dqgEGXWW7zqBh4U2Pzda3muqJuBjNarYVn3ap4qYmur3U+hUIR3ygBb0castii92clZvHAhw9EnuOSkisqKrnjZJDMgUV0f/mboDnwuz1M6dMbK9hqMjazjuVrd1F3mpILK8r5vPpSDlf2JjFNRDqNiWA/zhq4HWdJdxYUlZLndpIb1PliwESkrKQqZLDRNQRDguZKJM/jweH0gBnEhca0vpfje+m7IA18pgGaBsJBrTriuz6EV2+2MuqFA+5ZRU7mwCZnZ4c5VXb7aF86Dk18PUt30GW13Oax4ttNTSqrK+qtVXylblU8eXh7q5xXoVDEJ0rA2wvbCvX1H4dv0OR6x3z2sUXHt+AQDnSpR1zVd5eW4TMF/j1v8EGSl9zqAHkuDcwQVdLAY5oc3fcxeN0157R7gGtIPk30EEr8hMT0dZjFk7l1bH9kKJU3XI8x5wuTO5PuJOmavzK5uhr6j8OUvRDLV5PgcrBPnEHhze/T7+RmctMHwOqHSTBNQDLx0xfANMAIWq9p2q8driMOlniHjzu9kfrisQS5JeVK/Sf8bCrN45nbh3CoJLlVLF2IHd/uDERXxVuhBFyhOK1RAt4e2EVQ/E5BnttN7g3P4/ONr3Us7KvNveUVhBA4sPT7v0qO4jMk/vS+TEnWI6d8ougYIHCZJgEh2Oxx1ZRlE1ad8TEVQcYEQ8xJScTUJAIDT+83+e55i8grykMetMutSsn0jX9i5qUzOXJ8C7k9nbUs5H6ZycBwfMCCw7eQ9+nfyK04ST/pQDd0bJvbmoHDTaSOeMFay/IOI81a9cWjaarLuvHnNN7OtCk/DppTcEahUCg6AiXg7UHBWvxOwZSeqdb2xw+xIG2RFf/e9TZ5iW5yK07iE244/DmGNDAABPwxI53cg4XkBYohOY0qTSPBNDnidPLEkDu5f/ss65x297KIiAPJOZdwbkI/DP8bYJ0Rh9Bq4rMRk9kiXG9dIrn7vLuZeNZEfCk1HcbGpR7HF9LxVVRjSBfVusmjobv4vetZTDRAUjXqQdJHT62JgQuHZXlLE25+tcHuXi1xWTf1OS35cQCNZ4U3l5Y2NjldUe+XQnFqlIC3B/3Hkee23NtVmkaCLaIAU/a8BKlJkJrEgiOl5Hm8NQloQmBISZ7XQ251AMB2X0NuMERemR+nw4NhBiPudoSIPF5TvIk1YhNC0yxXNyCltGptAzMvncn0j6YjbPHXhEaVUQXArE2zmLt1Lo+Pe557nitggDzENdoMTJeGBizufjN/LzyXvbI3G4KDGa19yVZtKD/MuJzRMp316wusFqD3rLLWrgOkDWjwS7klLuumPufrxLNbi6/TWe10JKib6v1SKBpBCXh7kDGQ3Bueh48fIkFoILSaNcPIiFW9we2g244vozLIrezzLF0nz+thRskxNiZ4mVRegc/QYOA1aIUrcZoSPZwZDiAELuEiYAYiy9IAq5uZaTD3838wd/MzLLj2dRZdu4hNn25i5gUzeWjFQ7g0FyEzREiGcEon7+xag5T9GGZuBw0rG92ViKN7L/Yetgqm7JW92Wv0xus5Sn71R/x2liNSvOT9W3vT7+O/AhJz1ePcH/wDfnlGvS/llrism/qczhDPbm5jk9OdiqCu3i+FohGUgLcTPt94nnDNZMneJUzKnlQjNtKMWNUjKys446sX+XlyIo9lpKIhMRBMz8pE09wE0NGAd7t1Z+boX3MkdJQnMi5iye43eTcpkZCm4ZAS7/ERVKZsw+NwWs1QhGY1PzFDaGbI+sGgV5O39SUmX/Rr/B4/F/a50OqK5l/K7K2z0dAwMUlNDiDcxWwNDgXAdCagIRhx0VU4dx1EN60fDS5PMQm+p1i4F7S+koq90/HKXhzespw+0lqGpmteRvIlO0JZMb+UW+KybspzWvLjoKX9vxuiOY1NOivt6dJOcjsRIhjX75dC0dYoAW8nokuYvpu/lF+N/COau4xfDX6I6lW/Jre6Gl9IZ5/Lyf9lWn2YTTsBzECAXSXNxKridv/6x3A73GAEeaK8gmVJiThNEx0H7mPDeL58GVsTXYwOBOHbT5CX4CHr8wU8VLE18oPBu+k/zCWZ3qGBPJP3MkZlNlcO/h4TfRNZum8pc7bMYVH+PJKy4RrfkxzNWka/k5uh/zj6ZQzkX7f15u55GxBC4Ez5AjAISR1wkZBcAOW9oP9Yvtoh2JScwvnVITbIwTG/lL+OODTluc35cRArZt7U9dwNCX9OZjJP35IbWQIWb9Zke4cA3E6t2UsNFYrTDSXg7UReUR6mKQmY1UjTxaOfPYzX6cKUkF75E8aan3NOt5UcdTjQpARNRAQkFiam1erSNPnC4+au0jKkcLDw5HQukIUMCOkMKau0Br9xP77vLYQRd7Ng/hQ2ej1k6To/zQJj12zu7H4//zwwFw348sNv8P1Jt5GRmoFAUmVUk+Dw0CvrMP0GTQaGR65h/OCevPfgJaz6/F2eKvyAgLRLsTo17hz3La4cPIz3dm5lVp/eCAwkDqacMZDb07NrvpRLdlP8xXLu/9BBvtkbKSVzfjAqslSqMdpCWOrGzN/fs5Yn30xv9DVOlSyXX1zOj17KQ0p4d1th3MV0OyIE0JTOdgrF6YzW+BBFa5DbMxdTYhdRMQFBwKwGTA732MCbA77gTz3SmJPWHVNz47TXWjvsuLaQ0opx29vSDpQHhOCZ1BTmpnbnX2kp/PyCZHrIUg644PXkJPxOJ0jDWo+dNgDf1AVc4hzIIadVRzuoWR8BoYXwEGBs0tuc8/Y19Cs+AaFqy1oPVZPr6hFzXjmikO5f/ALNXuvtEk7uOW8a9100lpzMZByJey2vgWblvGdmHmTq6P4R8eaZS0hb9d+8LmZwhnGQoCG5e95G8ovLm/S+/vvTfQRCBlUhAyktoQmTX1zO8cpgk88Vfa+iY+ZGZXZEvOq+RjTRwo8kkqgItQXwVOforHSFEICi8zL/swIm/3MN8z8r6OhLiSuUgLcTvhQfT178ArLkeozDtwMaLuEiJIO4kreDCGFoEgMTEx0pBA4prcVfUiKFwCklQwJBvmG4rOQ0wCEluhBUaRqmqVO+5bdc432LW/r05M890pjSp5cl4kKz1mUPugz94l8wutqyzj22O10zNQQwtroCgKRNy1hQdJwZR4+zoOg4vmP76k+qZDd8/Di5gZoMeacQTPRNjAy54sxxJLicuISHBJeTK86MWge+/U0wQzjtzPfR2pcAmFKyZOvhRt/TlTuLeHaNH8PO3TOkGRGWsGV+qLSaq2eubpaIh2PmMy6YwYKrF3Dl4GFNEq+6wh+uJ59fXB73AhguZ/votUPjznug6NzM/6yARxZtJa+glEcWbVUi3gyUC70duTh7KP/54U9Z7z9Gf89g3v54Ou8nugmEf0bZPlqJXdTMbi4SXhqmC8EujxuHDBAyBQ4hrAYk9nMDQpCl6yxPcqMDITu7PS8xEV+VESmi0lscI99hud0NNHqlpXCxdzL375lFZsgBwK6eV3Ld8RX4dFsd6xZgCRegkQY+vZoFRyDP4yH3hn/Wqw2+8JoYCWQlu2HVX8AI4nc62ZDoZX1ZLzBANyVPLd/daF/vus09vnlWz8j4sMVrShmxeGOdq6H4ed2YeVPisdHJcnVbnL49/aK4j+kql7aiLZi/YX+97alj+nfQ1cQXSsDbmciXYN4KepdXsjTRXav4ClJihtdzR+0Li7gBUV3DoiuvCRymyXaPmzmpKYTs8SaQO/yH+M+8nLzjW8h1OTns7MlPevVAYi1Tu7PSSc/km7g3lEifxI0cCYxizvjJMGFcrSYk0RR/sZw008RpVIPTi2/wdfgu/lnMQi1mMINQ6Sj2O8vJK1pkCXnBWhACv9PJlD691NYw9wAAIABJREFUMIQLPf1VXHunEwpkIBCNxlnrNvf43gU1/9Nfom3hMTGbMvE9hPDEtHibEz9vqnhFtzitGzOOhA4UCkWEqaP6kVdQWmtb0TSUgHcQ/vQBLE3wMDioW2VQowqwhHGalsCa9iGzTrU1GX4OgAQDDX/WaPTAV9ZacFPy3V5XwKg7I8lVEqg8OgpHdwdSMxGmg5BmsnXjvynzvc0xBE5tFwfLJ7G+JJnRvsnkZNQWnfzicu77QON1zSSIBy8aWgPiHRFJZzGOfn/D69TQNMGCC/8PH4INSd2QQFAYSFMD7148Rs9Tupkjmd69cms194gkvu36kN7/uYXrNVgpLuXD65LpHUM42zIxq1O6zOt0hVMoOgNha3v+hv1MHdVPWd/NQAl4B+A/4efGVQ8RTEmKNB2JEBZxU2NSRRlXlVfwYFYmwUix8TqWOeAwTQycdD9yKUuzlqHbwh5CI+C5hLw974GhUyVDuNDQuq9GChMkuNHpboa4PPVFvhSpIECXQf7+xn9Rfvxqnhcw7zKD6jPGsLY0jdG+dJZsPcyXoV5cLR5jqGcjiUP6cL/LiS/GXMMiqbv24MDKwk8QCeSFjuK7ZxXu5S8RKH8Lq4OqgOpsrj6vN/d/c2CTM70fH3x+7UHbXsM+GwC9C96BkVfXO1dbimxjLVDbnTo19yPd4hSKNqSpy0OnjumvhLsFKAFvL6Ksn6W7XiNoBiNNR6L1G6xtgeSMkMnaBC8GUdZ2lNtcA3JPeDhSdT47Ki5ieLf3+QppJaxJiUDyxsHf87e8IujRjQRAx8QDBISGyzS5vbSCjKwK9tdarybJ8mzl/3nWMiCk41jpIMmQPG/+iecF/Ci7iP5uBwe6FVKcsQ5XpcbKtxfHrDEeFkln6ExA4NG8NdXQUnycO+FnBJ/OxnDlo1f58MieDYo31M709mheZq1bxrQR3609/tybYPPLtbdj0NYi26lixgVrAQmhyppucUrAFW2IKh/c9igBbw/qWD+lQy+qORYV3w5b11ICQvKv1GQrll13nL1tAlu7VfFq+TusPPdcyjXBzpMiUlpVaiDNEEsS3DxxpJhCp5Neus5DWZl4TdOOgEsqhJOJFZXMTe2OLkEX8HGim7WJPZh/sJhBejU6Hi41P+F+51scPKRRnd2DBJyYwkSXIAwP7+9Zyz25vlpTjxbJMzJGsv34JoqL+/D2xhCThpWTk5nMkh9NjmSdN5a4Fs709mheqnWTtz71snj16tpfDoMug1sWWZZ44pm1+nzXpcki21L3c2dxW/cfBwhLvMPd4hSKNkSVD257lIC3Ag1V31q5s4jFmw9xv+NNcsyQlXGdkMwrZTusAWExNs2obmL2Q2llkdcINzUudFkz0JSS15K9LKqYgwmW+1xYncGQkgAG7yd6WJaYyfyDhfhCOvMPFrIkKYm5qSk8n5rMne4gB50O7iwtY3VCApu9bkxNw5SS17t5+UWZAF3idAgEJls91sdGaqb1E8B0EETy5DsG3+pXXu9/0rBI5heXc/ez+6gOlQNf8dTy3cy5YwDbj29Cc2dzTVYi/fYvAtGw2IUzvWetW8Zbn3qpqkwnwRUjy3zQZda/FSu+xp21aan7uTO5rTMGWq/fGX5MKE4LOmUeSGuz60PLUDj3plMaCm2FEvCvSUPVt1buLOK259aTLQ7Ty/0UUoQQQJ7bZbcKrbGsk02TcofDPqOdaUaUtR0mEge3/0pJSAjmd0tEwy7KIsNKbw0TUhLQNJzAawMu4ie7PyZb1+lhgEBQrWlI4Me9euK0l6JFx9kPuTxUDJxI6ajpZO4sRlv/OiOiOqMZmouqY9+i6sQ5OI0eLNl6mAcuHRTzvVrvP4Zh1szJdBTx44//m5BhNSO9dMVhTCSa0CJiFyuG5kvxMW3Ed1m8ejUJdv5fg18OegDy5n090Wqp+7mzua0zBjb4+qp1Z2xauyb+6USnywNpbXZ9CC9Nth5vftny+rWziCsB/5o01Kpy7WfrmOJYSQalSKwiKTjc5J53K+LAW5FKaoBVdS0i4DbC/k8k5k0kVu40JVJYrUFNTUMIF4YM1ctil9TEznUhmKf7uckl8IXgguoKNEcPXEYIEGjS6ormMk0r291+3cll5TxUOJBbc3vzeaXkI+NhnuYvzDt4lK2JXvpePovbF0pkyKSvOMThFcvZ3+/79EtLqmftjfal49AEIbvyiiPRb01NCyFMjU1eF0PKT0TELl/2ajCGVvfLAWD++oLaXxQlu6FkJ6z7I1/LAm6p+zlO3NYqVhmblvaRV9TQqfJAWhs7WbbWthLw+KJeq0pXD/wf/jeDiudxTkIQX0hHIjEcCTg0jURnf/5xuJD7e/W0irUAJ5xRt0HEsLwhKjvdxACcEis+bgqCCB4ceDf/zH8WDdBNA4kl7tGiLpCs8yaSrZcRxGmtI3e47GVcTjQTQrgIHLqGXkmf87vK9VxQpTNa/JUb5mWyT5xBQD+Pa/lfRsud3DP1FvoNGs4DJbt468NVvOn8FQJwvzIPhO0JEA64dzVkWIlpS358cSTePTw7m5+ueYdQyLqG86tDkW5n9B/H+r2xY2j5xeUcfvDHpG/ZwNjx49F/88fYAlSw1nrvWmAB17ZIm+5+bunzOhIVq4xNZ+gjr+jENDFZti1RAv41qdWq0tUD5t/ClJ4pkJYMafDvQ8dxDplGTnYO+7sNZ8OL/831IsBbBw4zJ7U77yUl2q5v+4SROHfDIi4hUqhFCCvW7aw6g0WFR1nqcfJMShLBOglvlnw7GF6tUyE95Hk9hEwBmt3lzHbbVx74PjKUTh9tJ1k6JIggldLDaO1Lvgr1wuPUOPe8kdzxzan0s7/kJw3rTeGKnQggUQQwpRNMvea6t78JlzwMWL/Io13sC9MX8P6etRiV2SRdlIhmdzsjYyCjZXm9GFp+cTnLp97O2EPbkEDFBx9w7HgFMmdKfQHqPw6+WtKoBVzXfRzbIm3Y/Rx9npY8r6M5LWKVLaAz9JFXdGKik2VVDDx+iZTdzJvHIrf1llbZZUy3JbqZbIvJ2r1ulslxXC9WMiCkc3dpGcuSEnGZpi3I9gnDf2MJeZ3lZFKAVwY5UfYG85PcbHA57RC6lY3evyyTAmcCVdJN8Pgl3FfZnUnaOk6UV0KP7UjTts41E2m6cHoO4u77EtswuY10/nhE45jbxbqKXiRgfcE/OELUSjbLyUzmnltvwfXqPEyRgGbq9ZfGERVPdPWwaqv3H4cvY2CdzPWabmeau4TrL1vPVyX7uXnIFHIyk5m/voCRh60kwHBUIX3LBsSZU+oLUMZAyBgMZ/25QQs4lui21CKNV0u2y8cqW0hL+sgrTjPCybIdhBLw1qT/OHKDOiCsLl6ak9yqKvxr/0rexqcYMvBmnhdn8V/mNH6rzUECl5dX8HY3+wsz1pKx8L4Y68CREodpYiJ4oWIboeTEmmuRVkb6npSjgMQJOJMKMPZ+l6vdb/Nhkgc3yYTC/WxMDTDBWWE9WdMJSDcP987AoTkxMl/i1j7/w639sum34CpMaWJIKLz5ffoNGk6/QcPhR6vx73qbPKOC3NX/xBcMWCrbe0RUPNHqbrag6LhVZ72BuLT/hJ/JiycTMkMA/HbDJ/ROncVo33CW9z47YoELIGn8+IYFyOmB3B/Uv1f28q4dJ3xICdWikITkAt7bmdLk5iV1iWdL9uvEKrtyAlxz+si3OZ1lSaKi06AEvDXJGIjvzhUsCIvYxzPB1JnSO8M6XvIfXvWWcKT37fxr/zeY02e/lfUN9QU72v0dbYmHH1sdSREITAEGUc8l+hQy6pQmGd3XcluPdKvZiZWmbjnXhYGUDpLS1mDgAOlGc0gEDgKm1Sp04YHf8r2E2zCliaZXUS09PPPiS9wx/UxyMpPxu5xMyX/ZMov79OLxw4UcdjgYvuBW3h79UzueGCABSZ5DWgLeQFza6p9u1tq3ZO8S/nDRhTD/uUgMPGn8ePo/NROg6eIRtbzrKglPuB+msO/LgOQ5/9tMGragRRZpZ7Vk21JgVQJcO9GZliQqOg1KwFuLkt2W9enxktt7BJM/fxV0k0UJVt/tsEv9c7eD6/fN4lByIjpp9US3nlDXdaPbj4cFAuzwuNE1gTCFZdmGTxVOWgtvyxqP9iEykXwVWWPukFY+vJBgaCYe0+Te0uO8FbySPaFzSOg/L/LSutRZWFXGgxKqpQcJrDcHM8x2FUcn/bjQ+EnPNJz29Z7z2TaMAZIEhwfManIN6+L2dxvO2rrZ41jxRk3TMEwjsm9S9iTAthZferb59yhM1PIuzZXIrefv58ljgpAMInCSV5TH5EGTWyREnS3rtq0FNl7DBnFHZ1uSqOgUKAFvDUp24//XBL7TMxUDcADzDx8l2whwvrVk2nKpA7nVARx2kRWjoRg31FsSBjD+hMEeRyZuw8GX3YvQhTVO2sMizd1N08pAD58Hy1KXwqDM7IvX4UGTIWu5mGmZ8pFzARMrqkivLuTn+g1ox4fjTN1onwvWb9rEmhFPsOSTjaw3h7BX9qJXd681t5651tI100kIAxfW0jSn3SVttOt3TBxZFYmB7+82nCtePIyUh+uJiy/Fx6JrFzF/53wOlR9iyuApXNjnwtaxJuss7xp/7g38Y/UanKYLkF0qWWm9/xgD5CGGmdvZqg1tdYGN57BBXBEnSxIV7YsS8NagYC1LE1xUC0AIQlLyQYKTHwYcDAgGmH+wkM+9HnKrAwwI6fhdTl7t3s16bl0LPEyMePjKFAdCltodykSUlQ5gtRO9t7SMY5rGyyndrbXmUWMEMHTQHnaWhSIvE+knLgRO0+Su0hP4Qjr/NM9GuItxdN9iXwe4peR3lZ+QvXENfxSPsVdaWemFZdWAJbo3nPErXt73KBKNkJB2LF4jlLGBS4fcw+RBI63z+WDt+gKkPNyg9eZL8fHImEci2yt3FnH3vA0IIXBookFrMr+4PLJU7aw6bnigXlUyH7Dg4GHy3E5ygzq+kF7/OXFC3cIj41KPc402I/Lr7mjqMqD1mkZ01rBBl0NV0lPEQAl4a9B/XHgdVgSJxIWBCWTrOtnlOlJixYn79KK6oRrndV3ndf5qGHY/cNDqFF3RgHMCAR7KykRIK0O99vkFBw7vA/tHfKQ8q30duhCcEwgSEk4edb3AJ0m3EO7SK6Tg9tKTDNEr0bUERms7KXD1qWd19UithH0aQgshTc1a5iYkbk3DmbQPGBkZO9qXjnAXk9htLwSyT2m95ReXc/e8jQQN66Jdjtj9wvOLy5n094+pDlnC/fPzDAYW1y/vWqsq2aq/4AsG8FWdjFv35PzPCnhx4wYOJf0RpyZqCo+c3Izp0tD0KkxnAv1ObiY607816Gxhgy7LKSrpKU5PlIC3Bsf3MbH8JLNTkjClRAOuqKgC4JMED+8mJ3FVeQUXVQfI83rQEbUt7Bju8gi11nJjud1N2+oWAgfw7ZPldDMlJzSNv6alEcJOKo8SZwfwq+JjbPaeZDHJhAPmItQdYVvqHtPkiNOJmwBOl4tfZKfy22oHuimQSC6rCFApPbgE3HPrLQyz24uGv7zzi8sxKrNxOxwEjajLlhBEkukcAoD/9juo+uwzGDGMpCv3YNhu/P/9MIPvjhgZ6esd7S5f7z9W620JGVGB/SjqlmuVxKiTHk3Jblj1FzCCNRccZ+7J+Z8V8MiirbhStuDxGoRkqKbwSP9xVmlaV2KkQI5CoegaKAFvDba9xgBd57WDhWy0XeU+XWdNgocf9bLEaHFyErMKi+il65F4c0zqLh2L3h/G3h22vt9JTkIDQkKLGh8eK3CZJveUnmBKRTn57pToF8MRSkEi7O5kUOJwkO9JJMcUjDj/eqpezUF68qkuH8CDpsFobSc5Fw7mgy+eY8oZI8nZL9lfOpy39ify1PLdVla8Yzpa4l6qywcA4Ezw4wydyaGSZPy/u4OqTz6xXn3DJh4uEfz+uw6k6eLDvet4b5PJC7ePpl96IlfPXI1uSAwpeeiy+vXV//utbYzOru22rVuuVdBIXLZgbc377HBbBWfizMqZv2E/gNWOFYGQ7prCIym+NnO9qjrhCkXHogT861KyG7ypAAwI6QwI6ZGGYQui13dLyYJuyQwNBtHsGuZAw9Z33f11l5lFjTEAI7woOvqpElymiRMrMW2v08nCcOzd/kFgJh4EBCO7Xca68lXM7pHJv5As6HM1Xxw4gQxmUlWRbldg602fAb34644ZCGBr6Qf0KDrByIoAb+l/pNroBYDbzCR4PAOXJggaJpqZhdAEo33pluUdnhJw9j6JhhsDS4AAFm8+xJjsdHRDEjQsV/hfln3Fw986iyc+2IURTswT9d3odcu1DjL3n9q9Wzc5aOj1DY9tJu21PnrqqH7kFZQig5lU7J3O1ItC3HvBt2pEtQ1cr6pOeOdC/Zg6PVEC/nUo2Q2zLgJpIHFgSWmNgPbWjVrDk02TuakpteLWsQS53nrwemVRoWbNWHhL2oeEdUQC0sk3St0MoxABLElKJig0O/5tC7hmIgT0yOqGy++26j6bJhu2vMh1J+cwgD+wz451PzhC8PvP5kb6rCDhvUQnIysCjGAHu+iFwxZtl8Ma8OfJw8COk+dkJuMfMyZigQO4Rp7PzTlXMHsZyGAmANcOP4N+6YkRoQ6z92gFr0zuwZtvvcZGhrBf6xPTuo4u17pixcFT3EDaLDmoPddHTx1jJaXN37CfqaOGRbbbkqX7lqIbem13vRKODkH9mDp9UQLeEsIVkXa+D7oV6xZYCWqfez2MsF3oN58sZ2H3ZAw7Bt3NlDWtRGOJtL3/wdcNRubDxhz42032LTpVWdXw4/CF2Od0l53Fx6m7WU83nkvtxnVllXWeCxpWQtxo9xCWyXdJEA7AZFTFSXRDY6T4ku+PGcAkxzrS58/kWwku1vZIibjoh1Xp9nrwIfbLWglmIUNytusI2fu/Ysz4qyHDXh723LORGHjCmDH4nnuWs0t2M/nk+yw62oNxYy6IxMAfu/5cHlm0NXLJU7MDjFl6A6O8VhW4Ddc9z6bSpWjur2l1xLJQG6p61cRqWO29PnrqmP7tItxgCcacLXMISWs1g4nZpZbexRuq6crpixLwZuL3ryRv0a3kVlbi00P4nU7yvB566jo/zcqMjJt/sJBsOy7+uddDlq7zk6zMSBOSWkRZ4Q++bjB2l/V47C7gNd0S8XoZ6dQSbxmj2Euw+w4kTqo1Dc3UWBz8FlKuA2qWVgVLz8fhTudb70znHLfGZq+LkVWVDLCXUpkmfGfjLbiEAWYITWq4pSSoabhNk63yTOaEvo/f5cSVsB6qfQg9i7NdhbyuzcC7Q4Mv/zdSOcp/wk/er64mt+f/WF8ydoWpwUh+iYCrVgGWgE8d059eKV4Wbz7EtcPPYEzFe4BE06soSEjmJ5t/BcLZ+lZHQ1WvmlENqyuvj84rygv7eXBpLqYNm6YEowNRTVdOX5SANwP/CT83rXwAM60bWlo3/nakOCLaurB6agfCFde8HqiGz21xX9AtObb1XYeR+dbf8Cqv8DbQsAVedwla5LEDkEjThYGg6OQ4PE4NZ9oahIAZL+sMK/gM/4PjEJgMCgUYGKyKPD0oHVzCRvY6NLZ7HYyoluQGDRwQSXpb7hzMHZ+9xqjD+9iYDd4gDD8gMHy98Y6zli+Fl2b5Xc76rr5GKkyNH9wzYpFTUhOvznO7MREEjCo8Dk/rWh0NXVMzqmF15fXRdQVjom9iR1/SaY1qunL6EjcCLoS4EngSq9DZXCnln9r7Gl59ZwYBKcEuQzortTtBrGIoHtPEpKbiWpauc2OfXhjY2eJhGso+t49tzLEs7/CojTnW3xmvGAwrgK394U/fddjjiVFyVfDQazq5e2FjtsEfLrgLh7MMvcqHDGZi6Em4bPEesc86jVvXKVyeTPY3j9f6TeDCIMf7Bbf2yYg0DlnQfzILMofyxt7lvHhiA9OWr2bMAWvOY3dHJoIj/xAFFUn4JgrClaNiuvqaU2EqKl6d5fUSWP//AAgYAbISsxq7fU2noWtqZjWsTrM+upWbYHQmweiQRiqdsKlIp2q6omg34kLAhRAO4B/At4ADwHohxGIp5fb2eP2n172Du9jPwsDWWpbzZq9VQhQpMYGZR4pJeqUbnoCTIN14wXZVfzbIimXPflynexDK3DDtZzVv/YyXdYbbYrp5ABz3Qmo1lHrhbzc6aontiH3w8p8M65w3OiLibVnTIJ1B3CEXEsHY3ZL/7La6nuX1GMj/XHwvWuVwnGIlwwosF3l4NlVFCXy5yAEhJ7h0zpx8HLcw2Op1IIFq27OQl9aHyed9l0Rd8uO5qxm9q2a5VnR6nQSqSrxw1W8iX3S5Lmcty+3s/3ubHZ/+lqRvXEH/e7/ZtC9EO159ZNciPJqLgBnCo7k4UnmkBXf2FK8RK7EtXqphRQsMtEkTjM4gGB3SSEU1FVF0IrTGh3QKxgC7pZT5Usog8CpwXXu88NPr3uGfOx4hoAmCsdze9j4dSH+lG56ACxC4cOHAcheM3QUv/lEnJWiJW0oQZj9uCWhYnDWsfyP2QVq1NS6t2rK8z98HICNiGz7ng68bEfEesQ+cUuIOuazLCl+efd5RR3fz+zXP4DB68veL51E4qC/WWWvGyZAb0JAhN3sWpVku/OoAgrBnQZAbqCa/uBznL15lzK6aa4r2K4St9YQxF1itPO0vuLDlNuOCGbyw8lxY9QkEg1Ss+pSCZ9c364sw19UDTQ+SYJpoepBcV48mP7dJZAysde2N7u8shAXm3Uesv9vfJOL2R9phgK5BdKKglNQr9tMmRIdRutj7qYg/hDyVS7eTIIS4CbhSSnmXvX0rcIGU8oGoMdOAaQBZWVkjX3311VZ57V3HCgjJcjIdmRQbxacYKckpbN6583sJsgtrRDD2WesuGKt9bG8TzlGDQBs8BLdTI6ibmDt3ABDs2RN3UVG90d50K8s4iKBSEyRKcGcM5nhQ4N2726rgFkW5BzQJiUHQkpJx+wY0eCXV27fXKU4j8A4d2qRZAFB5lGDZQSoF1nV17wOJ9UW8vLyc5ORO4MZuA2LOrfIolB3E6k6nQXIWlEd5JzIGWz3SOzlNuW9B3WRXUXlke1DPZNzONrZJ9ACU7KzZbsH72VU/k111XtD+c5swYUKTvtLjwoVObA2rpR5SytnAbIBRo0bJCRMmtMoL71j3Dk/v+F9+1O0+nj75z1rHHEB4pbdHSl6cXQ0BV9QF1lx2EHBHPfeEG57+qYMZi42IezwWW/rDgMOQEqp/LK9vbxzX7KXbYo0eBy3LP/ptCb9++CoSxo7Fd/99NXN77nnkxvUUTH+AATOfqn1yD5x9w6Ga7VQffP91yBhIfnE5y/8yh7GHtkUOF50/gn2/uJorzhzXJNdqwWuvU/HBB5HtpMsvp/99953iGXUo2Q3PTKcxV+aKFStorc9CZyPm3GK9L9D53f51aOp9G9ghMfAzv9b72VU/k111XtB55xYvAn4A6Be13Rc41MDYVuVHF3wbAHeBn+6GQYJpkiQlt5aeZHggyLLkRDQkF1c7cd9/MeX/yMMdsGLf4V4hm33JvHPtGTw0axeJQUmZC+570Orj/depHn650GTIXkuh9/jOwGEGyd5/FG1Ib8wbk9jffSKpv30BKsqtBDqHg2PnjWLc3/5OjiiEi9fi/+sSqj7fRkJfF1Qdp6ooAUlNjCRh7Fh8z9XuoX32S/Pw334HIEgYO5aqHTugtBRSUzn7009g7rfgwAboOwruWhZ5Xk5mMsx/jsMP/pj0LRtIGj+eoU/NZEIz3tf+T82k4IHpVKxaRdIll9D/qZnNuzHxEo9ub04Vv++CdEiioGoqougkxIuArwcGCSGygYPAzcD32uvFf3TBt1lRtYI139lR71i9Ct3T6j//XOAWgCgD8/PoAXfUHhvN2eEH1z5AbKwvE9+/f9DA8VPje+5Z/CtW1LLMI0SJdl1yMpPJeenZBo83hWaLdl3UF2ls1PuiUJwWxIWASyl1IcQDwPtYnutnpZRfdPBlKRQKhULRYcSFgANIKZcASzr6OhQKhUKh6AzEyzIyhUKhUCgUUSgBVygUCoUiDlECrlAoFApFHKIEXKFQKBSKOEQJuEKhUCgUcYgScIVCoVAo4hAl4AqFQqFQxCFKwBUKhUKhiEOUgCsUCoVCEYcoAVcoFAqFIg5RAq5QKBQKRRyiBFyhUCgUijhECbhCoVAoFHGIEnCFQqFQKOIQJeAKhUKhUMQhSsAVCoVCoYhDhJSyo6+h1RFCFAP7Wvm0GUBJK5+zs6DmFp+oucUnXXVuXXVe0P5zK5FSXtnYoC4p4G2BEGKDlHJUR19HW6DmFp+oucUnXXVuXXVe0HnnplzoCoVCoVDEIUrAFQqFQqGIQ5SAN53ZHX0BbYiaW3yi5hafdNW5ddV5QSedm4qBKxQKhUIRhygLXKFQKBSKOEQJuEKhUCgUcYgS8CYghLhSCLFTCLFbCDGjo6+nuQgh/EKIrUKITUKIDfa+dCHEMiHELvtvmr1fCCH+bs91ixAit2Ovvj5CiGeFEEVCiG1R+5o9HyHEbfb4XUKI2zpiLtE0MK9HhRAH7Xu3SQgxKerYL+157RRCXBG1v9N9XoUQ/YQQy4UQO4QQXwghfmLv7wr3raG5xf29E0J4hRCfCSE223P7rb0/Wwixzr4H84UQbnu/x97ebR/3RZ0r5pw7ilPM7XkhxN6o+3a+vb/zfSallOrfKf4BDmAPkAO4gc3A0I6+rmbOwQ9k1Nn3v8AM+/EM4M/240nAu4AAvgGs6+jrjzGfS4BcYFtL5wOkA/n23zT7cVonnNejwMMxxg61P4seINv+jDo66+cV6A3k2o+7AV/Zc+gK962hucX9vbPf/2T7sQtYZ9+PBcDN9v5ZwI/sx/cBs+zHNwPzTzXnTjq354GbYozvdJ9JZYE3zhhgt5SMT3/JAAAF5ElEQVQyX0oZBF4Fruvga2oNrgNesB+/AFwftX+etPgUSBVC9O6IC2wIKeUq4Fid3c2dzxXAMinlMSnlcWAZ0Gjlo7akgXk1xHXAq1LKgJRyL7Ab67PaKT+vUsrDUso8+/FJYAfQh65x3xqaW0PEzb2z3/9ye9Nl/5PApcBr9v669y18P18DLhNCCBqec4dxirk1RKf7TCoBb5w+wP6o7QOc+n/OzogElgohNgohptn7sqSUh8H6AgJ62vvjdb7NnU88zfMB22X3bNjFTBzPy3arjsCyeLrUfaszN+gC904I4RBCbAKKsMRpD1AqpdTtIdHXGZmDffwE0IM4mZuUMnzf/mDftyeEEB57X6e7b0rAG0fE2Bdva+8ulFLmAlcB9wshLjnF2K4w32gamk+8zPNp4EzgfOAw8Li9Py7nJYRIBl4HHpRSlp1qaIx9nXp+MebWJe6dlNKQUp4P9MWyms+ONcz+G9dzE0KcC/wSGAKMxnKLP2IP73RzUwLeOAeAflHbfYFDHXQtLUJKecj+WwS8gfU/4ZGwa9z+W2QPj9f5Nnc+cTFPKeUR+0vGBOZQ43aMu3kJIVxYAveSlHKRvbtL3LdYc+tK9w5ASlkKrMCK/6YKIZz2oejrjMzBPp6CFRaKl7ldaYdEpJQyADxHJ75vSsAbZz0wyM66dGMlZizu4GtqMkKIJCFEt/BjYCKwDWsO4WzJ24C37MeLgR/YGZffAE6EXZydnObO531gohAizXZtTrT3dSrq5B/cgHXvwJrXzXbWbzYwCPiMTvp5teOg/wJ2SCn/GnUo7u9bQ3PrCvdOCJEphEi1HycAl2PF+JcDN9nD6t638P28CfhIWpleDc25w2hgbl9G/aAUWLH96PvWuT6T7ZEpF+//sLIPv8KK/fy6o6+nmdeeg5X9uRn4Inz9WHGpD4Fd9t90e78A/mHPdSswqqPnEGNOr2C5JENYv37vbMl8gDuwkml2A7d30nm9aF/3FqwvkN5R439tz2sncFVn/rwCF2G5FbcAm+x/k7rIfWtobnF/74DzgM/tOWwD/sfen4MlwLuBhYDH3u+1t3fbx3Mam3MnnNtH9n3bBvybmkz1TveZVKVUFQqFQqGIQ5QLXaFQKBSKOEQJuEKhUCgUcYgScIVCoVAo4hAl4AqFQqFQxCFKwBUKhUKhiEOUgCsUXRwhxI+F1SnrpQaO/1AI8ZT9+FEhxMPte4UKhaIlOBsfolAo4pz7sNbd7u3oCwkjhHDKmlraCoWiBSgLXKHowgghZmEV3VgshPiZEOJNu0nDp0KI8xp57vn2uC1CiDfsSlM9hRAb7ePDhRBSCNHf3t4jhEi0K1y9LoRYb/+70D7+qBBithBiKTBPCHGOsPoxb7JfY1Abvx0KRZdCCbhC0YWRUt6LVZf5m4AP+FxKeR7wK2BeI0+fBzxij98K/EZa9fS9QojuwMXABuBiIcQAoEhKWQk8CTwhpRwN3AjMjTrnSOA6KeX3gHuBJ6XVTGIUVvU5hULRRJQLXaE4fbgIS1CRUn4khOghhEiJNdDenyqlXGnvegGrRCbAWuBC4BLgMazexwL42D5+OTDUKiUNQPdwPX5gsZSyyn78CfBrIURfYJGUclcrzFGhOG1QFrhCcfrQWm0PP8ayvgdgNbEYjvXjYJV9XAPGSinPt//1kVKetI9VRF5YypeBa4Eq4H0hxKUtuBaF4rRFCbhCcfqwCrgFQAgxASiRDfTkllKeAI4LIS62d90KhK3xVcD3gV3SapV5DKsJxxr7+FLggfC5hBDnx3oNIUQOkC+l/DtWs49TxuQVCkVtlAtdoTh9eBR4TgixBaikpu1jQ9wGzBJCJAL5wO0AUkq/7R4PW9yrgb5SyuP29o+Bf9iv47TH3Rvj/FOB7wshQkAh8LsWzkuhOC1R3cgUCoVCoYhDlAtdoVAoFIo4RAm4QqFQKBRxiBJwhUKhUCjiECXgCoVCoVDEIUrAFQqFQqGIQ5SAKxQKhUIRhygBVygUCoUiDvn/YFOnbWU3GUwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df[df['followings'] < 4000]\n",
    "df1 = df1[df1['followers'] < 4000]\n",
    "df1 = df1[df1['muters'] < 20]\n",
    "df1 = df1[df1['sp ratio'] < 200]\n",
    "df1 = df1[df1['follow ratio'] < 3]\n",
    "df1 = df1[df1['posting_rewards'] < 2000]\n",
    "df1 = df1[df1['curation_rewards'] < 250]\n",
    "df1 = df1[df1['posts'] < 400]\n",
    "df1 = df1[df1['comments'] < 8000]\n",
    "df1 = df1[df1['average_post_len'] < 6000]\n",
    "df1 = df1[df1['average_comment_len'] < 1000]\n",
    "df1 = df1[df1['posts_to_comments_ratio'] < 10]\n",
    "\n",
    "def add_legend():\n",
    "    plt.legend(['content-creator', 'scammer', 'comment-spammer', 'bid-bot'])\n",
    "    \n",
    "def make_scatter_plot(d, x, y):\n",
    "    sns.FacetGrid(d, hue=\"class\", size=7).map(plt.scatter, x, y, s=8)\n",
    "    add_legend()\n",
    "\n",
    "make_scatter_plot(df1, 'followers', 'followings')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_scatter_plot(df1, 'muters', 'reputation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_scatter_plot(df1, 'follow ratio', 'sp ratio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_scatter_plot(df1, 'curation_rewards', 'posting_rewards')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_scatter_plot(df1, 'posts', 'comments')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aZI8//riZmT366KN26aWXmpnZ1KlTbcqUKVZdXW3PP/+8HXPMMbZ+/XqrqqqyoUOH2n/+8x8zMwPs73//u5mZXXbZZXbuuefazp07bd26dTZ48GAzM5s9e7bdc889ZmZWUVFhw4YNs02bNtnSpUutU6dO9sknn1hVVZWdddZZ9uqrr5qZ2YknnliTzrpmzJhhTz75pJmZHTx40A4cOGCbN282wFasWGFmZtOmTbP77ruv5nMGff3rX7dFixaZmdnYsWPt+9//vpmZPfDAA9azZ0/bunWrVVRU2AknnGA7duywzZs3W2ZmZq3PPm3atJp8CebXnXfeaU888YSZme3evdv69etn27Ztszlz5tgJJ5xQKw2hGvhehBXnVAIXEUlCa7evBYPyqnKwwHYLLVmyhMmTJ5ObmwtAt27dWLVqFV/72tcAuOaaa2qtwV3fkqAZGRk1S4ICtG3blgsuuADwlhQdO3YsWVlZDBw4sOaYF198kXnz5jFkyBDOPPNMdu7cyYcffgjAiBEj6NWrFxkZGQwZMqTmNY0ZOXIk9957LzNnzuTjjz8mOzsbgN69e9csT/r1r3+95rMsXbqUM888k4EDB7JkyRLeeeedmnNdcsklNWk//fTT6dmzJ+3ataOgoIBPPvkEgD59+tT67BMmTKjJl9DP+Itf/IIhQ4Ywbtw4Kioq2LJlCwDnnnsu3bp1C/8PFSYFcBGRJDS0+1BwkJ2ZDS6w3UJmVu/yoaFCn29qSVCArKysmtc0tLyomTFr1izWrVvHunXr2Lx5c011cuh5MzMz620n/vOf/8yQIUMYMmQIb7zxBl/72tdYtGgR2dnZnH/++SxZsuSotAe3KyoquOWWW3jmmWd4++23ueGGG6ioqIjoM4azhKqZ8eyzz9Z8xpKSEk4++WQgdkujKoCLiCQhX2cfCyct5I4z72DhpIX4OvtafM4JEyawcOFCdu7cCcCuXbsYNWoU8+fPB+Cpp55i9OjRLX6fus4//3weeeQRDh8+DMAHH3zA/v37G33NMcccw759+wD4yle+UhMYhw8fzqZNmygoKODb3/42l1xyCevXrwegpKSEVatWAfCnP/2J0aNH1wTr3NxcysrKeOaZZ6L++YKfcdasWTXt6//5z39i8j6htJyoiEiS8nX2RSVwB51++un8z//8D2PHjiUzM5MzzjiDBx98kOnTp3PfffeRl5fHnDlzovZ+Qddffz1+v5+hQ4diZuTl5fH88883+pobb7yRCy+8kJ49e7J06dJazy1YsIAnn3ySrKwsjjvuOH784x+zd+9eTj31VObOnctNN91Ev379+OY3v0mHDh244YYbGDhwID6fj8LCwqh/PoAf/ehHfOc732HQoEGYGT6fjz/96U8xea8gLScaAS2Z6FE+eJQPRygvPFpO1JOI5UT9fj+TJk1iw4YNcX3fxmg5URERETmKAriIiKQ8n8+XVKXveFAAFxERSUEK4CIiIilIATxcO4rhwE7vUUREJMEUwMOxoxhmj4G9n3qPCuIiIpJgCuDhKFkJGFi191iyMtEpEhGJmN/vZ8CAAUftv/7669m4ceNR+x9//HFmzJhR77lycnIieu/HH3+crVu3RvQaaZwCeDjyRwEOXIb3mD8q0SkSEYmaP/zhD5x22mkxfQ8F8OhTAA9Hbl+4aTl0OsF7zO2b6BSJSCtwcPNmvnjmGQ5u3hy1c1ZWVh615Oa4ceMITnw1Z84c+vfvz9ixY3nttdcaPdd///d/M3ToUCZMmEBpaSkA69at45xzzmHQoEF85StfYffu3TzzzDO88cYbXH311QwZMoTy8vKofZ7WTAE8XLl9ocOxCt4iEhcHN29m8+VX8Nn/3svmy6+IWhB///33ufHGG1m/fj2dOnXi4Ycfrnlu27Zt/OQnP+G1117jpZdeqrdaPWj//v0MHTqUtWvXMnbsWH76058CcO2113L33Xezfv16Bg4cyE9/+lMmT57M8OHDeeqpp1i3bl3N6mHSMgrgIiJJqPzNNwGwQGk1uN1SDS25CfDvf/+bcePGkZeXR9u2bZkyZUqD58nIyKh5PniePXv28MUXX9QsiDJ16lSWL18elXTL0RTARUSSUPawYQC4QGk1uN1S9S252dg2QFVVVc1ynj/+8Y/DOq/EngK4iEgSatenD32ee5bj/ucH9HnuWdr16ROV89a35GbQmWeeybJly9i5cyeHDx/m6aefBrx1uoPLed59990AVFdX1yzN+cc//pHRo0fTuXNnunbtysqV3kidJ554grFjxwK1lweV6NByoiIiSapdnz5RC9xB9S25+de//hWAnj17ctdddzFy5Eh69uzJ0KFDqaqqqvc8HTt25J133mHYsGF07tyZBQsWADB37lxuuOEGbrvtNgoKCmqWJ73uuuu4+eabyc7OZtWqVWoHjwIFcBGRVsLn89XbMW3ZsmU1v0+bNo1p06Y1ea6ysjIA7rnnnlr7hwwZwpIlS45aRvOKK67giiuuaEaqpSGqQhcREUlBCuAiIiIpSAFcRCROzCzRSZAk0tLvgwK4iEgctG/fnp07dyqIC+AF7507d9K+fftmn0Od2ERE4qBXr15s2bKlZsrRdFZRUdGiwJQumsqH9u3b06tXr2afXwFcRCQOsrKy6BPlIWHJatmyZZxxxhmJTkbCxTofVIUuIiKSghTARUREUpACuIiISApSABcREUlBCuAiIiIpSAFcREQkBSmAi4iIpCAFcBFJGZtKy1iwpoRNpWWJTopIwmkil3DtKIYDO73H3L6JTo1Iq7OptIxJs1ZgBs7BC0WjKcjLSXSyRBJGJfBw7CiG2WNg76fe447iRKdIpNVZ49+FGZQfrsLM2xZpzRTAw1GyEjCwau+xZGWiUyTS6hT6uuEcZGdl4py3LdKaqQo9HPmjAAcuw3vMH5XoFIm0OgV5ObxQNJo1/l0U+rqp+lxaPQXwcOT2hZuWw+q3vEe1gYskREFejgK3SICq0MOV2xc6HKvgLSIiSUEBXEREJAUpgIuIiKQgBXAREZEUpAAuIiKSghTARUREUpACuIiISApSABcREUlBCuAiIiIpSAFcREQkBSmAi4iIpCAFcBERkRSkAC4iImErmVHEu4MGUzKjKNFJafUSFsCdc991zr3jnNvgnPuTc669c66Pc+7fzrkPnXMLnHNtA8e2C2wXB573JSrdIiKtVcmMIvYvXgyHDrF/8WIF8QRLSAB3zp0AfBsYbmYDgEzgv4CZwP1m1g/YDXwj8JJvALvNrC9wf+A4ERGJo/3Llze6LfGVyCr0NkC2c64N0AHYBpwDPBN4fi5wWeD3SwPbBJ6f4JxzcUyriEir13HMmEa3Jb6cmSXmjZ37f8D/AuXAi8D/A14PlLJxzvUG/mFmA5xzG4ALzGxL4LmPgDPNbEedc94I3AjQo0ePYfPnz49qmsvKysjJyYnqOVOR8sGjfDhCeeFpDflw6JNPqN63j4xjjqFt7971HtMa8iEczc2HcePGhVVAbRPxmaPAOdcVr1TdB/gCeBq4sJ5Dg3cX9X2Yo+48zOx3wO8Ahg8fbuPGjYtGcmssW7aMaJ8zFSkfPMqHI5QXHuWDR/ngiXU+JKoKfSKw2cxKzeww8BwwCugSqFIH6AVsDfy+BegNEHi+M7ArvkkWERFJHokK4CXAWc65DoG27AnARmApMDlwzFTgL4HfFwW2CTy/xBJV9y8iIpIEEhLAzezfeJ3R1gJvB9LxO+B24FbnXDFwLPBo4CWPAscG9t8K3BH3RIuIiCSRhLSBA5jZT4Cf1Nm9CRhRz7EVwJXxSJeIiEgq0ExsIiIiKUgBXEREJAUpgIuIiKQgBXAREZEUpAAuIiKSghTARUREUpACuIiISApSABcREUlBCuAiIiIpSAFcREQkBSmAi4iIpCAFcBERkRSkAC4iIpKCFMBFRERSkAK4iIhIClIAFxERSUEK4GHyT5tOxTsb8U+bnuikiIiIKICHwz9tOuWrVgFG+apVCuIiIpJwCuBhKF+9utFtERGReFMAD0P2iBGNbouIiMSbAngYfHMeI3vkSMCRPXIkvjmPJTpJIiLSyimAh8k35zHan36agreIiCQFBXAREZEUpAAuIiKSghTARUREUpACuIiISApSAJeW2VEMa+d5jyIiEjdtEp0ASWE7imH2GMAABzcth9y+iU6ViEiroBK4NF/JSsDg8AHvsWRlolMkItJqKIBL8+WPAhxkdfAe80clOkUiIq2GqtCl+XL7etXmJSu94K3qcxGRuFEAl5bJ7avALSKSAKpCFxERSUEK4CIiIilIAVxERCQFKYCLiIikIAVwERGRFKQALiIikoIUwEVERFKQAriIiEgKUgAXERFJQQrgIiIiKUgBXEREJAUpgIuIiKQgBXAREZEUpAAuIiKSghTARUREUpACuIiISApSABcREUlBCuAiIiIpSAFcREQkBSmAi4iIpCAF8ATbVFrGgjUlbCotS3RSREQkhbRJdAJas02lZUyatQIzcA5eKBpNQV5OopMlIiIpQCXwBFrj34UZlB+uwszbFhERCYcCeAIV+rrhHGRnZeKcty0iIhIOVaEnUEFeDi8UjWaNfxeFvm6qPhcRkbApgCdYQV6OAreIiERMVegiIiIpSAFcRCRN+KdN593TB+CfNj3RSZE4UAAXEUkD/mnTKV+1CqqqKF+1SkG8FVAAFxFJA+WrVze6LelHAVxEJA1kjxjR6LakHwVwEZE04JvzGNkjR0JmJtkjR+Kb81iikyQxpmFkIiJpQkG7dQk7gDvn2gFXAL7Q15nZ3dFPloiIiDQmkhL4X4A9wJvAwdgkR0RERMIRSQDvZWYXxCwlIiIiErZIOrGtdM4NjFlKREREJGyRlMBHA9c55zbjVaE7wMxsUExSJiIiIg2KJIBfGLNUiIiISETCrkI3s4+B3sA5gd8PRPJ6ERERiZ6wA7Bz7ifA7cCdgV1ZwJPNfWPnXBfn3DPOufecc+8650Y657o5515yzn0YeOwaONY55x50zhU759Y754Y2931FRETSQSQl6K8AlwD7AcxsK3BMC97718A/zewUYDDwLnAH8LKZ9QNeDmyDV33fL/BzI/BIC95XREQk5UUSwA+ZmQEG4Jzr2Nw3dc51AsYAjwKY2SEz+wK4FJgbOGwucFng90uBeeZ5HejinOvZ3PcXERFJdZEE8IXOudl4wfMGYDHw+2a+bwFQCsxxzv3HOfeHwA1BDzPbBhB47B44/gTgk5DXbwnsExERaZWcV6gO82DnzgXOwxtC9i8ze6lZb+rccOB14Gwz+7dz7tfAXqDIzLqEHLfbzLo65/4G/NzMVgT2vwx838zerHPeG/Gq2OnRo8ew+fPnNyd5DSorKyMnJyeq50xFygeP8uEI5YVH+eBRPniamw/jxo1zYR1oZnH/AY4D/CHbXwL+BrwP9Azs6wm8H/h9NvDVkONrjmvoZ9iwYRZtS5cujfo5U1Gq5sNH2/fZ/NUf20fb90XlfKmaD7GgvPAoHzzKB08L8iGsWNrkOHDn3D4C7d51n/Liv3UK606h9k3DZ865T5xzJ5vZ+8AEYGPgZyrwi8DjXwIvWQTMcM7NB84E9ligql0kHJtKy5g0awVm4By8UDSagjyVEEQkdTUZwM0srJ7mzrmuZrY7gvcuAp5yzrUFNgHT8NrkFzrnvgGUAFcGjv078GWgGG/8+bQI3keENf5dmEH54SqyszJZ49+lAC4iKS2a64G/DIQ9PtvM1gHD63lqQj3HGvCt5ictCnYUw4Gd3mNu34QmRSJX6OuGc5CdlYlz3raISCqL5kxq4TW6p6IdxTB7DOz91HvcUZzoFEmECvJyeKFoNHddcpqqz2OoZEYR7w4aTMmMokQnRSTtRTOAh9+dPdWUrAQMrNp7LFmZ6BRJMxTk5TClMF/BO0ZKZhSxf/FiOHSI/YsXK4iLxJjmMg9H/ijAgcvwHvNHJTpFIkln//LljW6LSHSpCj0cuX3hpuXQ6QTvUW3gIkfpOGZMo9siEl2RLGbyRBP7jup8llZy+0KHYxW8RRqQ/9AsOk6cCG3b0nHiRPIfmpXoJImktUh6oZ8euuGcywSGBbfNbFe0EiUiqUlBWyR+miyBO+fuDEzmMsg5tzduI7vPAAAgAElEQVTwsw/YzpGJVkRERCSOmgzgZvbzwGQu95lZp8DPMWZ2rJnd2dTrRUREJPrCrkI3szudcycAJ4a+zszU1VRERCTOwg7gzrlfAP+FN195VWC3AQrgIiIicRZJJ7avACeb2cFYJUZERETCE8k48E1AVqwSIiIiIuGLpAR+AFjnnHsZqCmFm9m3o54qERERaVQkAXxR4EdEREQSLJJe6HOdc9lAvpm9H8M0iYiISBMimUr1YmAd8M/A9hDnnErkklQ2lZaxYE0Jm0rLEp0UEZGYiqQK/S5gBLAMwMzWOef6xCBNIs2yqbSMSbNWYAbOkZbrfvunTad89WqyR4zAN+exRCdHRBIokl7olWa2p86+9F0DXBp0qLI6KUu5a/y7MIPyw1WYedvpxD9tOuWrVkFVFeWrVuGfNj3RSWrYjmJYO897FJGYiKQEvsE59zUg0znXD/g2sDI2yUo+JTOKqDjtVEqeebZVL9iwqbSMD7eX8dArG5OulFvo64ZzkJ2ViXPedjopX7260e2ksaMYZo/Bu793WoJXJEYiKYEX4a1IdhD4E7AX+E4sEpVsSmYUsX/xYjBj/+LFlMwoSnSSEiZYqk3GUm5BXg4vFI3mrktOS6obi2jJHjGi0e2kUbISMDh8wHssaTX3+SJxFXYAN7MDZvY/ZlZoZsMDv1fEMnHJYv/y5Y1utybBUm2ylnIL8nKYUpifdsEbwDfnMbJHjoTMTLJHjkzeNvD8UYCDrA7eY/6oRKdIJC1FMhf6cOAHgI/ai5kMin6ykkvHMWO8EnjIdmtVkJdDv+453NWvL4W+bmkZKJNZ0gbtULl9vWrzkpVe8Fb1uUhMRNIG/hRwG/A2UB2b5CSn/IdmedXmztFx4sRW3QYO0LZNBlMK8xOdDElmuX0VuEViLJIAXmpmrXbcd/5Ds9i0bBn5t9yS6KSIiIhEFMB/4pz7A1B3LvTnop4qERERaVQkAXwacAreimTBKnQDFMAlpfn3+Fm7fS1Duw/F19mX6OSIiIQlkgA+2MwGxiwlIgng3+PnqheuqhmyvHDSQgVxEUkJkYwDf905d1rMUiKSAGu3rwWD8qpysMC2iEgKiKQEPhqY6pzbjNcG7gBrDcPIJH0N7T4UHGRnZoMLbIuIpIBIAvgFMUuFSIL4OvtYOGmh2sBFJOVEsh74x865rkDvOq/7OOqpEokjX2efAreIpJxIZmK7B7gO+Igjq5AZcE70kyUiIiKNiaQK/SrgJDM7FKvEJDOtRpYYm0rLWOPfpWlbRUTqiKQX+gagS6wSksy0GllibCotY9KsFdy1aCOTZq1IuvXHJYVofXJJQ5GUwH8O/Mc5t4HaM7FdEvVUJRmtRpYYa/y7MPOWLs3OymSNf5dK4RI5rU8uaSqSAD4XmEkrXMxEq5ElRqGvG84l79KlkiJC1yfP6uBtK4BLGogkgO8wswdjlpIkptXIEqMgL4cXikarDVxaRuuTS5qKJIC/6Zz7ObCI2lXorWLqKq1GlhgFeTkK3NIyWp9c0lQkAfyMwONZIfs0jExEkp/WJ5c0FMlELuNjmRAREREJX9jDyJxznZ1zv3LOvRH4+aVzrnMsEyciIiL1i2Qc+GPAPrwJXa4C9gJzYpGotKGxpyIiEiORtIGfZGZXhGz/1Dm3LtoJShsaeyoiIjEUSQm83Dk3OrjhnDsbKI9+ktJE6NhTLLAt6W5TaRkL1pRo1jgRiblISuDfBOaGtHvvxlvcROqjsaetTnDqVzNwDl4oGq0hcCISM5H0Ql8HDHbOdQps741ZqtKBxp62Opr6VUTiKZJe6Pc657qY2V4z2+uc6+qc+1ksE5fycvvC0GsVvFsJTf0qIvEUSRX6hWb2g+CGme12zn0Z+GH0kyWSejT1q4jEUyQBPNM5187MDgI457KBdrFJlkhq0tSvIhIvkQTwJ4GXnXNz8MZGTcdboUxERETiLJJObP/nnFsPTAQccI+Z/StmKRMREZEGRVICx8z+Cfyzvuecc6vMbGRUUpVudhSrN7qIiERVRAG8Ce2jeK70oRnZREQkBiKZia0pFsVzpQ/NyCYiIjEQzQAu9dGMbCIiKSnZp0aOZhW6i+K50odmZBMRSTmpMDVyRAHcOXci0M/MFgfGgbcxs32Bp6+JeurSRW5fBW4RkRSSClMjRzKV6g3AM8DswK5ewPPB581sQ3STJiIikhipMDVyJCXwbwEjgH8DmNmHzrnuMUmViIhIAqXC1MiRBPCDZnbIOa+p2znXBvU8FxGRNJXsUyNH0gv9FefcD4Bs59y5wNPAX2OTLBEREWlMJAH8DqAUeBu4Cfg7WolMREQkISKZC70a+H3gR0RERBIo7ADunHubo9u89wBvAD8zs53RTJiIiIg0LJJObP8AqoA/Brb/K/C4F3gcuDh6yRIREZHGRBLAzzazs0O233bOvWZmZzvnvh7thImIiEjDIunEluOcOzO44ZwbAQT711dGNVUiIiLSqEhK4NcDjznncvDmPd8LXO+c6wj8PBaJSyo7iuHATu9R06KKiEiChV0CN7M1ZjYQGAIMMbNBZrbazPab2cLYJTEJBNf03vup97ijONEpEhGRVi7SxUwuAk4H2gdnZDOzu2OQruQSXNPbqqlZ01ulcBERSaBIFjP5LTAFKMKrQr8SODFG6UouwTW9XQZa01tERJJBJJ3YRpnZtcBuM/spMBLoHZtkJZngmt6dTvAeVfoWSV87imHtPDWVSdKLpAq9IvB4wDl3PLAT6BP9JCWp3L7QYYuCtzRoU2lZUq9cJGEI9nfBAKcbdklqkQTwvzrnugD3AWvxvuEtmlbVOZeJN5Pbp2Y2yTnXB5gPdAu8xzWBFdDaAfOAYXg3DlPMzN+S9xaJpk2lZUyatQIzcA5eKBqtIJ6Kgv1dDh+ArA7q7yJJLawqdOdcBvCymX1hZs/itX2fYmY/buH7/z/g3ZDtmcD9ZtYP2A18I7D/G3hV932B+wPHiSSNNf5dmEH54SrMvG1JQcH+LlkdUH8XSXZhBfDAQia/DNk+aGZ7WvLGzrlewEXAHwLbDjgHeCZwyFzgssDvlwa2CTw/wQW7wcdL6DhwkToKfd1wDrKzMnHO25YUFOzvcuFMVZ9L0nNmddcnaeBA534KrAees3Bf1Pj5nsGbAOYY4HvAdcDrgVI2zrnewD/MbIBzbgNwgZltCTz3EXCmme2oc84bgRsBevToMWz+/PktTaan8iDseJ+ydseRc/AzyD0Z2rSLzrlTUFlZGTk5qh6umw+HKqvZf6iSjm3b0LZNJP1DU5++Ex7lg0f54GluPowbNy6sAmokbeC3Ah2BKudcOd5QMjOzTpEmzjk3CdhuZm8658YFd9dzqIXx3JEdZr8DfgcwfPhwGzduXN1DmmftPPj3z1lWcDvjNs2E/jNh6LXROXcKWrZsGVHL2xSmfDhCeeFRPniUD55Y50Mk64EfE8X3PRu4xDn3ZaA90Al4AOjinGtjZpVAL2Br4PgteEPWtjjn2gCdgfg1MmocuIiIJJlIJnJxzrmvO+d+FNjuHVjQJGJmdqeZ9TIzH96ypEvM7GpgKTA5cNhU4C+B3xcFtgk8vyQa1fhh0zhwERFJMpE01D2MN3nL1wLbZcBvopye24FbnXPFwLHAo4H9jwLHBvbfCtwR5fdtWm5f6HCsgreIiCSFSNrAzzSzoc65/wCY2W7nXNuWJsDMlgHLAr9vAo4q1ZtZBd7UrSIiIkJkJfDDgYlXDMA5lwdUxyRVIiIi0qhIAviDwJ+B7s65/wVWAPfGJFXJSOPARUQkiUSyHvhTwPfxxm5vAy4zs6djlbCkovXARUQkyYTdBu6c+zWwwMyi3XEt+Wk9cBERSTKRVKGvBX7onCt2zt3nnBseq0QlHY0DF0lZm0rLWLCmhE2lZYlOikhURTKRy1xgrnOuG3AFMNM5lx9YeCS9BceBr35L48BTxY5ir6Ykf5T+Xq2YVomTdBbJMLKgvsApgA/YGNXUJDOtB546tKazBISuEpedlcka/y4FcEkbkczENtM59yFwN7ABGGZmF8csZcnmD+fCtnXeoyS30DWdg30WpFXSKnGSziIpgW8GRgEFQDtgkHMOM1sek5Qlkz+cC1tWw8kXeY9/OBeufynRqZKGaE1nCSjIy+GFotGs8e+i0NdNpW9JK5EE8CpgCd4iI+uAs4BVeGt4p7ctbzS+Lckl2GdBbeCCF8QVuCUdRdIL/dtAIfCxmY0HzgBKY5KqZNNreOPbknxy+3pLvip4i0iaiiSAVwTmJMc5187M3gNOjk2yksz1L0GvwBTtvUao+lzS045iWDtPExWJpIhIqtC3OOe6AM8DLznndnNkve70d/1LsGwZjPtOolMiEn3quS+SciIZB/6VwK93OeeWAp2Bf8YkVSISX6E997M6aLZBkRTQnHHgmNkr0U6IiCSQeu6LpJxI2sBbtzivRlYyo4h3Bw2mZEZRXN5PWrlgz/0LZ6r6XCRFKICHI86rkZXMKGL/4sVw6BD7Fy9WEJf4UM99kZSiAB6O+lYji6H9y5c3ui0iIqIAHo44r0bWccyYRrdFREQUwMMRbB/sdEJc2gfzH5pFx4kToW1bOk6cSP5Ds2L6fiIiknqa1Qu9VYrzamQK2omxqbRM82aLSEpQAA9XaC90dfJJS1o7WkRSiarQwxHnXuiSGKFrR5t525KcNpWWsWBNCZtKyxKdFJGEUQk8HPX1Qo9SKfyV97ez6K2tXDL4eMae3D0q54yW1ladrLWjU4NqSkQ8CuDhiFEv9Ffe387UOWsAeHbtp8ydVpg0QTzqF8kdxUm/vKfWjk4NoTUl2VmZrPHv0t9KWiUF8HAEe6GvfiuqvdAXvbX1qO1kCeBRvUim0EIZabV2dArcNDWHakpEPArgCXTJ4ON5du2ntbaTRVQvklooI/5S6KYpUqopEfEogIcjeDE86Q6YXdTii2Fo2/LcaYVJ2QYe1YukFsqIvzS/aUqrmhKRZlIAD0cUO7HV17b8y6uGRDW50RK1i2SwCSINq3OTlm6aRNKeAng4otiJrdV2wMnt22oDd0J68+umSSTtKYCHIxqd2AIdikZ1GawOOK1IQoc8teKbJome1jacNJUogIerJVOphnQo6o3jX9f8g5VfdNU/RCvQZI1LmvYUl/SgMffJTQE8Hup0KOq97y2mFF6b6FRJHDTamz+Ne4pLemi1TX4pQgE8HtShKC0dqqxmwZqSRmtSGu3Nn+Y9xSX1acx9clMAjwd1KEo7m0rL+HB7GQ+9srHJqsUGe/Prxk6SnMbcJzcF8HhRh6K0ElzopEVVi7qxkxSgMfcNK5lRxP7ly+k4ZkxCloDWamThCl1OVNJCS1a0ClYltrhqMbcvDL1WwVskxZTMKGL/4sVw6BD7Fy+mZEZR3NOgEng4dhTDb0fDSXfCb78FN69IqwtuaxwmEtq7tsqqGd+/O187Mz/s2fAK8nLo1z2Hu/r1bVX5ls5a4/+BNN/+5csb3Y4HBfBwbHweKssB8x43Pg9jvpfoVEVFax0mEtq7FuBfGz/nXxs/j2hFuLZtMphSmB/LZKaVZA6QrfX/ICwa6livjmPGeCXwkO14UxV6KxcayMyOtO2mu2Dv2kxXe3/dFeLCtqMY1s5TE0sDggHyrkUbmTRrRbOaLWKptf4fNCk41PEft3uP+n7XyH9oFh0nToS2bek4cWJC2sBVAg/HaZfB8v/zfm/TzttOE2kzTCTCUkKwd+2Tr3/MY6/5a/Y3a0U4jeduUrKPJ06b/4No01DHRiUiaIdSAA+X1XlMEykzTKSxAN3MAFqQl8OPLz6dsf3zWrYinC5yTUr2AJky/wfxVs9Qx2RuCmltFMDDsfF5qDro/V51MK3awCEFhok0FaDrBtCNz0NO97BL42NP7t6ypVw1nrtJqRAgk/7/IBHqDHXcZMepr0ASUQAPx4GdjW9LbDVVwg0NoGaw/P/zri7xqs7WeO6wKECmqJA5LNasKUnqppDWRgE8HAe+aHxbYqupEm5oAC3bDq/+Mv7V2ZqoR1qBZG8KaW0UwMNxaG/j29K0lgxFCaeEGwygO4rh1V+pOlvSRjK1OadCU0hrogAejmHT8T+8goq8LPxLuuC7enqiU5RaotFLO9wSbhJVZyfThTdlaMxxLck4Pj1hTSH6bhxFATwM/nufonx7BwDKt3fAf+9T+OZMSHCqUkhDbdix+odMgursZLzwJj0NxztKsg+/ixt9N+qliVzCUL56daPb8dSS+bsTpr427DSfIKK1TQwSXFq1Rd/L0Bs9LLDduqnNOUDfjXqpBB6OIUOxN9cAgfu/IUMTkowWleoSWf1UX7X22nmk69jpTaVllO47iGGt4sIbydKqjdJwvKOozTlA3416KYCHYf13fkbWrTeQDbyXl8/h7/yMU+PwvnXbUJtdnZYE1U+v7OzEouJBXNKxE2Nz8f4BzSCzrfeYJv+QoTdZAN8afxJfHtgz7AtvKrabR2VpVUiq/gvJRMPv0HejAQrgYRjVZTe556zl9a5fZtw5a9nRZTcQ20Us6ittN7s6LcEzhb3y/namzvFqMJ5d+6m3YMixcXv7uKp7k5V3TLuIgncqtpsX+rrxjw+jVM2bBP0XJEnpu3EUBfAw9N72EuYO4ZzR3h2i97aXoN/gmL5nfaXtKYX5zatOS3D1U90FQha9tZWxfdd7UaryUFpVobekzTJVOyxpaVWRxFAAD5Or8xhrDQWCZlWnJbj66ZLBx/Ps2k9rbXNsDknXphWFfgItabOMJPgnW1W7llaVuNFwshoK4OE47TJvek4ctMmOy2pkUe+8ksDqp7End2futMI6C4Z0j/9NRQwWRKlPc9ssw/2bp2pVu0iLJUF/nmSiAB6O3L5w8wp4/c24LmKSbJ1XgqW+rpXVEb+23gVD4nlTEemCKAmq0g/nb56qVe0NCa1NAJKqZkGSTJL8nyYLBfBIlH0Ob/3Sm6qzld35hZb6Zpx6iL6lZXG9wLa4yjiSBVGSpUq/Aek0Njj0e2WBtXodTjULUr8U+j+NBwXwcAUnDmild36hpb7gdrwurlGpMo5kQZQGqvSTpd05ncYGh36vsjK9HiaHq6rTomZBYkDDyWpRAA9X/ij44O+t9s4vtNQHVXEt9UWlyjiSBVHqUd9NRCIlW/NKc4V+r4Il8DYZGSlfsyAxpOFkNRTAw5XbF3JPhv4zW+WdX0FeDv+6pifb1i9lT87JcQ0eUasybsE/fn03ET2alwoJUbc2AVp3G3iy1PJIalAAj0SbdjD02kSnIjF2FNN74YX0xlh20p2wo1/cbmKSocq4vpuIknc2xT0d6ahubUJrDVz1NhW5z1RdLA1SAJfw1FpMgLj3AUh0lXF9NxElCUuNpKO6tTzvblhLwcr/QkOmpCEK4BKeWp3AaHV9ACDxNxGS3urW8ozIeB8NmZLGKIBLeEI7ge3qoQuJSJTVreXJc5/BCg2ZkoYpgEv4gp3Ali1LdEqapM5AidFYvutv0rTatTwaMiWNUwCXtKOpRhOjsXzX36SZNGRKGpGR6ASkjB3FcGCn9xgFm0rLWLCmhE2lZVE5nxwR2hnI7Mh61RJbjeV7Uv1NdhTD2nlR+19OdboWpS6VwMMRnEf7pDtgdlGLe4OmbGkkuBhIZXKPgE6nqUZTSWP5njR/Ey2GUUvKXosEUAAPT3AIlVV7jy3sDZqSi1GEXvhOuhN2nJS0F75kGDceb8nQvtxYvifN30SLYdSSktciqaEAHo78UWCBO3azFvcGDZZGTs36nGHuPUZ16Qkk+VrKCR4HHqmjhnyl8RrCiSxF1V2hrrGhdkkxDE+LYdSSNDUj0iwK4GHyv5hNxZQ2+F/Mxndzy84VnJb0uPnXkekgY+GTyV+Vl8rjwNO82jRRpahEr1DXLFoMo5akqRmRZlEntjD4p11H+fZ2AJRvb4d/2nUtPmfvfW+RleHIqCynplo+jiLuuBK88F0405sTPpUufLVqD+Kf17EW9VJUmJ286luhLhn4p03n3dMH4J82vf4Dcvt6UyKn0nc4hgrycphSmK/gnYJUAg9DefHORrebJYFVecGSU1W1YWb8/trhjD25e9MvTKFx4LWkebVpVEtRjdRWLFhdwoI3PmHK8N5MGZEflxXqIm3b90+bTvmqVQCUr1qFf9p0fHMei3q6RJJBQgK4c643MA84DqgGfmdmv3bOdQMWAD7AD1xlZrudcw74NfBl4ABwnZmtjVd6swf1p/yt92ttt1gCq/LW+HdRVW0cDLRb3jDvTf75nS+1/A48WduZU7naNMw8jVr7cgOdvBasLuH2596mj9vGm5/+mZyyS7jonDE1Nw5d9xRHvQTXnLb98tWrG90WSSeJKoFXAv9tZmudc8cAbzrnXgKuA142s1845+4A7gBuBy4E+gV+zgQeCTzGhW/BX/BPuRSA7MEn41vwl+icOEGTNBT6umFmNdvO4S2c0Nnf/ACX7O3MqTghRiLytIHaigVvfEIft40X2v4AgIzlT8Cg1yjI60tBXg7LlkV/ZbbmtO1njxhRUwIPboukq4S0gZvZtmAJ2sz2Ae8CJwCXAnMDh80FLgv8fikwzzyvA12ccz3jmugOxwIu8FiP0HbD5k4UEeUJJupr5w5WSd5z6QDaZDgyHPjYyoWvTYF/3O4FjOa8fxzbmVNy4olw/7ahxyWi7T60r0PIDcOU4b0pzHgPgI7uIFkZLubpaU7bvm/OY2SPHAmZmWSPHKnqc0lrLrQklpAEOOcDlgMDgBIz6xLy3G4z6+qcewH4hZmtCOx/GbjdzN6oc64bgRsBevToMWz+/PlRSeMh/8dU7y/jUPfutN2+nYyOObT1nXjkgMqDsCNQxR7MThd4zD3ZW0e8KaHniOR1DaW5spoPtx8JcP26eyWX0H1ZdoiOroI2VNHD7QGqwWVApxMavlEBysrKyMmpUxJqbvorD8KhMmibE9bx9X2utm0S0xez3nyo41BlNeXlB+hctqnp70TdPOzaB3ZvPrId+roI8y0a9uwro1PZRzic91lC0hNOXjTHocpq9h+qpGPbNgn7O0ciVvmQapQPnubmw7hx41zTRyW4E5tzLgd4FviOme31mrrrP7SefUfdeZjZ74DfAQwfPtzGjRsXlXS+e/rpUFXFx0VFnDhrFmRmcuo77xw5YO08+PfPvZJSZltvX9Uhrxqy/0yvx2sTbZmlr/yerh/eS5uq8tqva6YFa0p46JWNNdWPd/Xz3jO476SMz1iUdScAGRiZDtpmtSGcqtply5ZRb97uOCmyduZmVBHX97mmFCZmDH2D+RAQbMO9nOX8wD1OB3ew8b9t6Pcoq4NXCh725aPzNJHNFQ18j5vKi6QWxb4bKZ0PUaR88MQ6HxIWwJ1zWXjB+ykzey6w+3PnXE8z2xaoIt8e2L8F6B3y8l7A1nilNfvU3pRv8NfariW03TBYoxHahtjEBXdTaRnfejmTZ101h2hHe4OMKE0WU7f6MbjvLI5Uh+63dmwbeAsFfQpadhGLtJ25GbNipdLEE8E23Ncq+0NbqMzMpk1jveDra3+uL08TNJuY1/zSlkLf5RTkNlKqiHNnxhbNQpfsfTdEGpGoXugOeBR418x+FfLUImAq8IvA419C9s9wzs3H67y2x8y2xSu9vt8+hP+K8wDI7nEI328fqn1A3V7OUPsCtnYejV1w1/h34bfjuejwvZyd9QEjz57ERS28iDQ0tCi4b1SXnrRf8AQHq9rTvo2jYOzX43/haqDDVPCCPKrLbnrve6tWIAhOgrNt/VJ6DhpP7yQeuxq82fisTS+usF8wb0wVeaePbzifw+0tn4BhcWH3CI9zQGzxLHSaWlVSWKJK4GcD1wBvO+fWBfb9AC9wL3TOfQMoAa4MPPd3vCFkxXjDyKbFN7ngm1iGv9thfBMb6DhVt6QU+nsTF9zQC/1z9GL6gKFRSXN9Q4uO7MuHm1eQmcihVfUErOAF+UTbysUZd1CdlUGGyzgSCHYU03vhhfTG4L3/S+oSU92bjbx+g5t+UTi1GAkYFhd2j/A4B8QWz0KX5nMESHpLSAAPdEZrqMF7Qj3HG/CtmCaqMRufp2Rpeyq6ZVGytD35Y5+HMd8L//VNXHATNp1hSLCI6WIYDVSp+vf4Wbt7PUNPGoOvsw84ckEeWL0RMvBmqgsNBGEGCP8eP2u3r2Vo96E15467WN5sxHlYXNhNF80NiE1Uuzf0/QwrXY2dO5XnCEh3yTqvRBLRTGxhKHn4JfZv9eYA37+1AyUPv0R+JAE8DIlc6CGmi2E0UKXq3+Pnqheuqtm9cNJCfJ19NRfktzNOA6C6TTYZoYEgjADR0LnjJnjhKdtOulTPhn2TGQyIG58P/+Rh9BFp6PvZZLrCqdJPxTkC0p36JoRFATwM+zdsbXS7SUn+ZYzpYhgNlJjXbl8LBuVV5WRnZrN2+1p8nX21Lsg7u7x0VBt4OCWmhs4dF6F/6/o6NKawiG4yX/0VYN5jU9/3JmpVmvp+NpoutXHHXixKyvq7hUUBPAwdh/Rh/xsf1NqOSBy+jC2pAo9pz+4GSsxDuw8FB9mZ2eAC2wG12ump3W5cX7V7XQ2dOy5rZof8rSszs9k7vIhuPXq3rmrASL/vYfQR8bmtDGv7Hm9yCoW+0eGnRW3csRWrwklL/26tpPpdATwM+Q/8ipL/8nqhd+x1iPwHftXEK+qeILYXkZZWgce0Db6BErOvs4+FkxaG3069oxj/hy9w1UdP4XWfMBaedDW+fpOO+get79xRbSYIXhwqexz9XP4oqg0qrB1UVnP1qp78pqiJYVfx0NwLWnNeF+n3vak+Iu4z/tb2f6g2I8M5MtwYIMy0qI07tmJVOGnJ3y3JazyjSQE8HLl9yZ//IptWv0X+/Be9fWvnhf/FauFFxD9tOuWrV5M9YkS9U0NGowo8pm3wDbQx+jr7wqvaDvxDru3QFrp0pDwjg0iuYeoAACAASURBVOzqata+/gC+JfV3Dqt77mjk0abSMt7dsJYLX5tChgNOutObvKbO6IN/nL2AVUtf4LXD/fmszfFxW5+7Qc29oDX3dc35vjfWDl2ykgxXT4fGcKmNO3ZiWThp7t+tFVW/K4CHK7cvdNji/d7ci1ozvkThLI+YSpObNKTR6u3AP+TQ/fugSw7ZZBzZdm3jMgFMsAR/A88x0R2inasEoPSdpSzp0LZWuk8dMJTblh7A2pAcf4/mXtBaciGMZtBUNXjySsYajlb0fVEAj1Sc7+7KV/+7znZgecSQqs2CvL6JGYYWJU1Wbwf+IX2uLQu3f8Has7/J0NcewefaEu4/aEubCdb4d3GibeXmjD/TlkpvHl8zrn05E79trJXuAvcZr0z4hNXVJ3PqgKGJ/3s094KWLBfCJAsScelLkUqCf4/g4jaJDuJJ9n2JJQXwSEXpohasjh2R8X7Ds3PtKCY7t4Lyz7MCO5y3PGI9VZsFed7r1/h3AcTkwhIcW51TlVOTvmj8kzRZvR3yD+nLH4Uvty+cMiXi9w42EwRXM6vvAhy8OB/XqT2f7a2oOabQ14233XsYDuegOiOL8nZ5+K1b7XS7z2D2GPIwLsLBwOWE3V4bhmYFj+Ze0JLpQpgk1eAxHXKZquprakm0JPm+xJoCeLh2FMOBnUCvFl/UNpWW8a1ZC3nW3QFA9auZZNz86tHnKlmJ77wD+P/VlvLS9mSf7vOqz+uZmnWTHVfvheWV97ez6K2tXDL4eMae3L3ZHz90bPX0DtPx+1/B99RXiUZHkbCqt+ub6S7cdtx6Znqr7wIcfK6q2jhYWU27NhlkZriaY2665mqy5s+j2mWT4TJo07Hr0ekueY5Y1dBEHDx2FFP6ztIjNQHNWRyniXwO3lB0rayud3+6lVJDbzYBpj72b169/ai5p5JjIqF4qa9WksACQ62kN3iiKICHI3iHedIdMLvIC1YtWClsjX8Xw3gPw1tMpNKyyajvQh+sOj7/EHAYbnqo1v7QWoA1m48uxX6y6wBT56wB4Nm1nzJ3WmGzg3jo2GqAtcV/xRelQNWc6u2wAkQ9JYM1/rYNlvaDF+eDgWB0sLK61jG9+w2Gb66ouSBlbdjCC0XDa6fDxa7aOaKOeDuKqf7tl+h4uIrxwBVLf8Fviq6KajANvaGYceoh+paW1dRwpGsptdDXrSZ4A3yyu4LLH1rBczOODG1L+ERC8VZfreSGLa2qN3iiKICHo2QlWBVYtffYwlJVoa8bj3MKDjhg7WjvGrjQh1ZhHnNC7TamOrUAhVZ2VGnwN0uLa51u0Vtbmx3Aa42tBob2vRj+/Ueq22RzuLKaGcuymFhZwnGd2zerxB92L/hAqfJbL2fit+MbDxB1Sgb+D1/gi3bdcW2ryCbvqNJ+sCagXZsMDlZW0ybDYVjtGoFaJdItFLjPKMhcGQjcfWNa7RxRR7ySlVSb0SGw2tww3ot6b/i6pdHg+WM6MVCCFeTlBAYxHvGfLXtqHZPQiYQSod7v/JZW1Rs8URTAw3HMCVBZ4f1eWeFtt0BBXg6/KbqKpRv6MiLjfTo0tUIV1H8nG/Ka+kqxlww+nmfXflpzzCWDj292mkPHVueU5ODzjeWTq/7Bw3Of5PWqk9lc3omXnnu75viWlvjrFbij71pdzbOumosO38tnbXo1HCBCSgb+Npk1Y8g79oFpvl9zwckDj5rR64Wi0fz97W3MenUlrv1mOFjQcHoqDzb8d4nBhaqpmopatRL5o8hwjgPWDge8ySlMj3Jv+NAbCqiquaFIh1ERjTmjV2fWhgTtM3p1rvV8Y5MUpa36vvNR7ASZrk0yLaUAHo59n0Kb9t7vbdp72y1UkJdDwfgxwJimDw7zTrZuKXbsyd2ZO60wKm3gcGRs9bJPlwGw8ouuzK8aVzNjaF0tKfHXK5APbarKqaINl2St5vf0ajhAhJQM1nIANj5WUyo6rsc2CvJG1vuyDduLycp/kGBg/uf7/bilvmMPlRHvEkZDNRX1Vlvf/Cr7A23gv4lBb/jQG4que4rDn588xT03YzSXP7SC/2zZwxm9OteqPodmTFKUrqJUG5XOTTItpQAejuCdZPAn3sNpIr2TDek4MvbkvtENoiEKfd1ok+E4XFV/BG+oxN/Y3XTocxltd9S+COaPqplffGsW9OrwLx6deHnj/8yBksHQPX5497FGS0U1F4qc1WTmGS7jMFadRWaHzUA9AbxtDkkxzIoG2scL+5I3ti8X7Sj2Ote56HckCt5QLFu2qd796apu0K7rqEmKWmtnrijURqVzk0xLKYCngkjuZOPYcaQgL+f/Z+/M46Oq7v7/PneZyYRACGRlCcNWNgEbBBXcsC0qYmtRsf5sbW0V9VFc6tM+XezTTa1drKXqUyourUqRqLQqouLCIiCLjKwCsg0JW8IuIcnM3HvO7487czMzmUkmbAbNp68XdjJ37j333Jnv57t/eevuC3h87mbW7/6U757rbzYGnkkWuFIgPHtp1/NRZ+ZsLBEovw9c8N8EF/2Ja4s7Oydc9TPKe/Rv1srJxCqKCYr6mh60KxBoePCYOpf0TkPMhrdFFsbJdAOmdVu3JRI14LMi0bZncFz4vIdkjgdtBJ4JKhY7bEOUdT6LZIxMNdlTnDjSqyCHhyecmfC3piz+prTp+Pey22/DlpKICiUmAg28ksCKxwGclqpCyzhJKNkqqrhjEkcXLKDdBRdQ+tijrqDIUsXIHXcz6XKdSzp1xb9lAZRax7yPwcNB3tqymMmv26hwQUrF5XiJPa3bui2RyMFnSaJtz+C48HkPyRwP2gg8E8Rc2ELjs3aVNovW0j0rDZrSphOSokI90TUNgySXd34fyr75D3j/HnxCA6FlniQUZ4FV/GoyR995B4Cj77xDxR2T6PXYo4mCItqUJa3QT5fEFodYSZFlS7RuiqPbJpGlil3F5UTG91K6rVv59+GU4bMk0bZncNz4vIdkjhVtBJ4J8vtQOeENatdtpHLCG3RP88NvFZmSJyBxZOveGmav2c2Bo2E0zz4KCnZySe+RJyQZpyltOvm9nTXDeH3TIi7vOyrh2n7/hZTnzXTc4WbntBZyQjONiJVAtkfnd0449uiCBY2fX6BpoW/VH8GSEsNOP2QjVlIUUSHAxJdTQY8aycW1lbBvdJN16enQou9Z9PsQ3DSLgDeLMtPA38ThreI7fDLwWZJoa+po14bPFdoIPANs3VvDuOd2c3v/LP77ud3MmtQ7ZfJVq8mUjHe3tzDut3VvDWP/+j71EenGodmlePJjgxevODENKZrSpuPbnd7yTAVKdefVhRXMmlSa8Bl/rr8RKcdbwPHNNBTwC+/ljFPSnWjVbmhPjn64qeHCZ5/b+Pk1IfS37q1h26eCkZYkjBfTVuxpP5TFyyqY8WEl157VnWtHlCaUFCkdbj9zADcsuxNtIbBQMHLCGy2K7x3L9yxoGkzY+i9nI9Y/nbaxSKv6DqfBMSsYnzWJfkFae7bh1KKNwDNAbJBFRzz0UOGUVlKrzJQ8hrjf8uABbOlkehu+IOBkY9sy81hzbHZ3wJtFWe9Lnc+0UJGYvWY3EVsSsRWmLpi9Zjd3XNw38aAm3KLxzTSUNPnTrsN8NSLJMn1oCGfG+68muzHwD777I9SrHzfK4k4n9JcHDxDG5PLwgwzXNvCRNYDgP3YQsXcAcLByPT0raxhx4bjE5LktC5xihuiaux9ZxaxJ45smpbi9OxaLPdPGIif8O3yCk8aOW8E4BhL93Hok2vC5QBuBZ4CRHQ9yhfYTlvBzXtYeYH/Ht3F7/UbRWjIlE9zGxxD3G+7vhB4tDbPq/HgRTimVmWGsed9mgk9dxITCjs61P36K8vP+1KK+6Vv31vDY3M1ueVrEVjw2dzNjB5eknFKWykKOWb6m8BJGUVkzhKvUQ/x6wKeMuHAc5Peh9LFH3eOtvY072QFphf5wfyfe2AQ7tC5ss0vAWQEAPcVuZnl+hr4G2PAH/LcswN93fHTNVqM198pvIr6XpIS11GKP34vmGouc0O/wSUgaO9VK8ungkTgdcDKVoC+6gtVG4Bmg+5FVSAM0ocgynNcwNOGY1pAp2agH86g/4m9h3K9XQQ6z7zyf55dsZ+OeTnTJe4g+pXszj4FXLCbgMQDlZIlLu0V90+dvrGbyu5tcL0AMSsHjczdz++g+Ddnbqpj1I19IOdEtVjYWy/7OUgVsF5B/wQTIb/xsWvr8ehXk0Lcwh7uKu/PY3M0IBJa0idgwXNsAQBYhQE+835a6cpOUsHiLfWTHg3SvbL6+O9PGIif0O3wSksZOtZLcKr1qpxlOphLUpmC1EXhmaN8VzQ4BOP9N00r1hGdKttAF2chVGtmP/xjjfi8sr0Qp+KgSZo36Ov7cDO+rdCRnhiIA+KQEQ7h90xMUiRT3Nn9jtTt8BcDQwJJg6oKQJZm1ejdvrN3DrElOE42GH293Zg0splfSnvnz+3BLmZ+vdc9MS2/p8/MYGndc1Jexg0uYvWa380cF69fV4Dn8PGjO/Va2H8ri+PGlLXHlpvAy9MrPiWbIX0amFm6jxiJpkMnI1WNd9/HiVCvJrcWrdjrjZCpBbQpWG4FnhpPQSrVZNOGCTOc2SukqzfW32PJJ9cOI/b24QxYHa8NsjU6eSsZWVcyDtZN4fuef+SjLy4jwfifZLF6RgJT39uqqXQnnGtKtI3d9pS+vrtrFrNW7E6aDAY1/vGnKvk5FCcr/zdsSZwlcjimGQcViKtsP5ZLndqPUboSAv11fljBnvFmks9hPYlnUCbFsTlLS2KksJ2oNXrVGOM06up1MJahNwWoj8MxQOhKE7tSBC/3UlKCkEdBNCddj6cGcal54/A/DL3Zx5t4t3P6aj62yhJAl+fmQOp5+9Dfc8p3rnRGbUWzdW8PjczdTpPbTPaL4kvWpM7XphW/BbR84I1j3bYb3H3amuln1CfeWPHzlrq/05cJ+hXTvlM0ba/c0+qH6xS6GeTawgv4M9593UmdxN4V0bUzJ78Pi5RUotZu6iI3X0Lj52RXommgZMZ7kQREZ3c+xkNfnIPP6VCoMzcZzT8OObidTCWqVCtYpRhuBZ4KYNbFs1Qn50WSUeJFGQDcnXJNdpU1dK95lHT89LPbDWL82wGWLfo5coZzpX/aDIKA3R7le/APzhWed+dj5fZi/sZqbn/0QBXST/dA80lUyEFrDKNS/X9BA3kZWwr2lG76S8oe6bzOve36OVApNCDRxwWdW65tpcxpbSoQQJ8bldxLLotosm1OPjLwep2lHt5OpBH3RG7y0EXimyO8D2TtOCHln5J6ME9DBP8+m7sIr8Y0YwfA//DUz4ZrB3Oxkl3X89LBeBTn0yg2CAM2qI4yXkcZGIlIB3ckWIaTwQcVitqpibn52BeFo1vgOvQv/KP0dN+/8OUKL81rEBFCMvAeNh/PvTdjTC/sVpmzFGt9uFaBX5WK06NpcYVZ2w3GR2rFmtGbanKa4Qxa3TQucOGI8SRZum2Vz6pGR1yMTBbU5F/tp5oJvQ9NoI/AMsXVvTZOx30zRIvdkfh+CP3qQug9XAVD3wQf4fnwns/7w14xcbc3NzW52XnicwMhSMHLUFRTkeDm6eSnS8KEJzalN3nbAsbRxSqjOFRsZe8G30fI+SCEs4gRQEnknI74kTobzExSft74zlO6phNkxktqxxH3DdpiZm2ZSVlhGrwJ/s81pgNOGGL/ols2pRkZej+a8Ls252E9DF3wbmkYbgWeArXtruP3Rcr7T38vtj5bz+KQJTdftNqHhNvlDTfHZumXLEj5ft2wZA9II15gFeXHtXAqic7PDeBllfsLMFHOz413WZ3/JZr+2kEU7i6iqrXJi6HECQysdyeXRNc07fAit3x/cdQ5XNeiaoJ+xh5n6z8gyNPTyaXDLArZ2H8/ybQfocuRj9lobKLt+Ov4D26F0JFtVMcvTZDonlMShuM87jh6qO+sjRfhMncWH8rj2eFzISXvd0rhv8HCQrYe38vTSpxumpaXKOYi7ztZoD/TWTt4nG1/02t1UyNjr0ZSC2pyL/TR1wbchPdoIPAOsXxvgZRFt5CIeYO7aPvQafUHjAzPQcNP+UNN81jdiBHUffADRdyp7DODI8qWM0DcmEFe8BfkPofO6B7So5XzuqHF8/4yylELhwn6F9CiuZcKsCUgpCckQXt2LJjTKx5UjVTHL7YsYrjo5ZVrgjNEsuyHhnv5+YynLlr5CVdCkV30NaNnsXTeXce92x9arMUsn4zUEuhY9b5JFnWzxJpTESUl47zO8rNVylfkQ20UXRxnJzzk2AZRir4f7i1sU9w1UB4BmupvFXUcquD38QNpwhnv859y9ebrX7p5M5eO4vR7Nudjbhqp87tBG4BlghLYRcBq5NLxOQeAZargpf6jxnzWynEzt8+/F/8zTBG/8PkeXLmNFXk+ePGsEt82/hvyITS+pXKKPtXsdLD9mjTaQN0bNYFBWINrOtDR1HXeUMALUgoKQdGrdQ7YzwvOtLYuZ/J9OzQrb4OEg9y7+HijJjKI8yqvBbymWyX7Y8ijStxVQhGUYL1kEqgNEDp3VpMXrlsQJEwhz1tEjZJkmvx7wKfkXHLsHJH6vgypMoF17yjbNote5d7fIvV1WWMabvNl0d7O4Zyp1H8PY4HoQGln4n1P3ZkJnwFz/aV272+qVj+Zc7MeZ+Jj8LNvw2aONwDNAwaDRyPd1QCPL1MkeNDr1gcej4cY+a2Q5SV7rZsLHr8AtC/A/8zT3lq9k5tqV5Pb8C3+mPQIorz7ktEvN7+O2e0VzTreq87NMWNPEAIs4wigzdOhaglfzuhY4Auzanih1uFE9eHIuQIO1HMJnZhEYdh3+M29lgCpGvbMgoSWrjJKd7NgJhdPnXKEaWbxuSdyWNyl7+378wgOIaBvUzNqOpiXB0pEEDZ0JhSXOsVumUT7wyibj2MnCyx+x6OXtxE/832/o957umZrZaApW0D+9hf85dG826gw4rpzh/vzTNsP9tFA+mssBOcYckVTPso3EP3u0EXgmyO+Dduv7sGyV8990P4Dj0XBjn33/YYe8U9RIv7rlP9gIbE3DJyUBjwd/VEnofmQV0tTQrDqk4WPNrlewpEVERlK7eOOtUE97ftX5EhboPTira080z6du4thjcxa6wra4QxbjHl3I7f3D/PzRha4F0qiBzPA7INdPL2DqDWdx87MriFTchZEdZPLVV+PP9bN1b02zW+LP9eMvuxVKv9r8njZRX55qrwNfuw/WPkGdimBKxVtbFnNLmb/xsaRpUTvtOjy9f8L4lQ/BLV9N+0wrJ7zB7tVzKRkymsc79k5v4X8O3ZuphqiM7zv+pCfynSxL8YtcXpfpQJw2nFq0EXimyLSMrBkNt0nhkt/Hycz++JVGgvzCfoU8cNkVPLhqFprQkJqk5CsPN1yrdKSTFW5mU2HoPLF3GRHptDRVKMrMzhB41rE+TYMAtRR5Te7p3BlQ1O+ZTaTyHl61LGZNGuO63OOFbcwCkUqhFK4F4s/188hFjzB722zG9hzr3lfwcJD9WoCnburPrn2DEgT2mxvXoLVfTqimFCOa3BWr725E1s1ZDTHLO0V9ebr9Lut9Kerjp1ERCKOY/LrN17qnrjBoJLxivd2VBFRaRSE2hlap/ohVzhjaa4eXNjrOvcfP2czodENUUoWQThTpnkxL8YtcXpfpQJw2nFq0EXim2PQuHNrp/LfvV47pFBkJlyRBHjQNAtFSpQlnDqMk91lufeklZF1PfrAFZpXUNPTXjn4uQC3ax08DYAqTm3tf5U4DCxo6E7qWAAKrsDMaipCyUVJiZ61EP/K1BNdgsrAVAjQhEiyQ4OEg98y7BxS8vf1tyseVA6S41xz3+GeCd6EVWLQrEES230Vxh7K0LvBmhXtcfXkwqx2BnmdTdvbdYBpp99uf6+dG/2QeW/w2dTWlZKmCtC7RRsIr1ttdaDSlKLTY5XoKO5c1u6cnIKEuZWfAFOc9kaR7si3FL0p5XXKy3rF0eWzDyUcbgWeCTe/CtPHQ79cwbRJcP/OYSDxj4RIV5KkE2659OchPR0RJgURSiH6u7HAQ1j/tEs6gcIiZ2R7Kjh4h4GkP0qZORdAxsYhO/RI2noK5WPVDnbakKRCzQFYtX8ysSSMTYuBuBrvmdTO0091roDqA06AtgpImWvY2bpsWYP5XKilIigMHTYNrXrsGS1og4LGLH2NU11GJCysdCUoR9PqYUNQJIpWw6EfcdMZN6fd732ausdfyWk03tsoibKUo7pDlnjKZ4BoJr7jOfME0ikJrdbnGf68UipuH3MyYHmMS9uZEJdQldAZMc94TSbon3VL8AlcKZDoQpw2nDm0EnglWPN34dQsJPHg4yL66fShUxsIllWAb7h/TLCnEE05RdhH3zL0bOraDjjk8sv9TlNBQtomFIHzwHDx5SxCa7fxgs7Y1uaZeBTlUZHsSrJCi7KKGDHYZoii7iK45XVMK0q17a9hTVYKiYVZ3fU0PshQsk/24PCkOPCc4h3q73rmQgjvevYN/f+PfCYKk8uBRiqXkw2wvoJxkOt0HtQdAWfiiSXnufkeJpJOU/FtXXG49wA6tK7dNCzBr0nlonn0pCTlBeMWFVAKbZqYkoJjC404qOwlorqwp1fvx3yuAKSun8OSaJxss35OVUJfmvCeSdJuzFI/LVR+ngAQNncDX7kufwHiKcDLi/adFsl4bgDYCzwwdS5t+3QwaWTyDb2aMf0yzP7iYYPNqWVhSIcMdWHloDk9dnY2+aQMlQ0bTPc0PK0Y4MzfNBIQzm1uYVF38M26sHcpfF71F6KhzfU/ecpSMuoPre7X4B1tVtQav0AkpG6/upaq2ilFdRzUSpAmavWcS37nI5rl5OlmqACFgwBllMDgpDrzrvUbXi7fQtu6t4ennpvEzAWfV1kJebrT0TDFmwWOMQRHweCj75j8a9rtiMbaU6HYd9crLMLGBLVaJK6zMji2zCNMR0Na9Ncxes9udF/5/87acsnnIydeOfz+2XlMzicgIERXBUEbDfbYkoS5mkVpFzS84zXlPtHs2naV43K76uMTPCYUlsPaJ1BUepwgnK97fWj1HbWiMNgLPBGf9AJZNdf6/Zjqvm0G8ZpxsSQ998BXq1v6V4IgR+J95Ou05/Ll+Hh75DyfmHcnlV/b/kGWAZoUorz5I1/W/5/VRMxgQ36QlycXXiFx6X4pefZidR4+yOGKxTZUQqbgLzbcN6nshrAL3B5tqUlkj7NtM2dv3oxV2xIcCXbgE5grSfZsh8CzrD/sbNHsK6JU1kFm3dkqyEBPjwB3lMJQ0QFgA2EpgHe3hvv+vwArmtotwfUSnRwT+tecgqy/5BWWhevzbfw+RWvxWNhzYDv7oh0pHYklFvfICsFz2Rxe4wkrztMwiTEVAMXKN2JJuchfDtQ2s0QaeknnI8deO2Arh2Ysvp4I3N+byXwXnuuudE5zDE2ueQENLvM9ME+riXeK9fwr7ejdfwpTmvC11zx6L5XncrvqoAhJo1x5Q1KkIvnjF5xTjZMX7v8jJeqcb2gg8U2gGzmSP5rcsWTN+5KJHXEK49/kaOgSPAE5v8+CN33dJPJVQisW8rewl6ChCMoIPxRyPRgddZ8nCGfxobq1jXYk9BJ+6iIDHoCxs4f/BPPz5fRLJJWJB+WX81iOxDZhR9jwjzx4PkPCDjU0q6yl2o6/agO/Kaxgx/OzGN1uxGL9lU75zNx+2a4+n2wRkOL/h/Tghf5mCx8QDBM0uLlkmJwXF7wHAyx+/T+2O72B4d6IEWEcG8+MNeyjyVaN59vHCrh9CoWICJVy84xz+++pbGN93qHPd9/6QYO3Fn7t67Ku89J8XWS77s02V8P1Rfr59To/oWnIS9kyG85mRpuVr7B79FYudkr7oc1u/NsB43mO7ymOK5xGireLZ3/FtwPHgtLSrV/L3I52lFCP2GHm36/kooHgmOIuxgxvCAROHTmSMf0xqIswkoS7eJR57fZxVGpngWC3P43bVRxWQsk2zYMs0fIjPNCO7rLDM6aWgmU6lyQlcxxclWe90RxuBZ4KKxdG5mFFfZTOCKlkzrqqtcglhwO/+F7DdY2O9ztMJpZiQ1sK9AIGQBpIIT3TsgADq+QBVeQ7LgwfQrFlMKOxI7CTlm2bhz7870boJPAsoNKsOzczm2112QVzGeQyvrtpFT7GbWZ6fAWDMfg56Lko7l7oUk/qjIW7adoi962byxHWXOlZ7nJDXzGye/YrNe9kDm+1/LpEIBFIpsrspjm6bhAoXJKzP7LgcUG4ynD10cMN88hTZ/MlKVd6lZ9BvZxG/+vIwehTXEqieg+ZpaNTiP1JDJYcZ+9yG9N23UiVmAZcumsBoIdFNG4nAJyJIw0f3I6uAoS3u6pXq+9GrwJ/SUoondnK2Y+oCS4URNLYWjysxKcElzimrXT9Wy/OEuOrz++DPv5vygVe2ioxs5cTlUNEukW34YqGNwDNBTFDFlQ01hVSafkxQBkfMSuhtLr5UBPs2Ezi42hVKpmYyJziHiUMnuu6sx+duZtb6u5CerbT37KY+fykhbJQEzbeN4f5vEqjMApQT75aSgDfL9Ro3uhczG5SCmmqHhJKI+etDu6Cv2gBAOxHC1nypFZcoUc6aO437al5BMh+TBUycrnjj9qvQOvUgkJ1FWVjDbykKBo3m2vzUOQTxgtkUJgiIyAhew0v3HntZv6mBwL8+tAuaZxSzdk5BSRMQXDv4wsZri643PtHMq3uZ9N4kDGGAgO/kPMKEWfc0atQCimKp6KEeTN8CNUVi1t4jIdpFJNkiRJ3y4NUV6Nlocd+dliYKpSOtVJZSvAu0S34p9y5+HVOdhKzseCXpQNEpy8o+Hkv6RGVSn4jztCQMkOrYQHUADY2QCuGjrbnKFxFtBJ4JooLKWrKS10e+wABV3DDYIwWaaJSL/gAAIABJREFU0vT9zzzN+m9fR2TFStZ3h4e/XkX5UxdRdu00R5vGIa0pq6e4iW69CnK4fXQf3li7h161Fv2svSzSDLw4rUknX301vQpy0DyXwsdP4ZM2mDplvS9Ney/BVf8ksPo5yj54BP/7f25UKnRhv0J8V17Dzjn/YrUvmxIpqaLWKVFLcc7dvfsiV8WXhgV5c+Ma/rH9R1DQGZTkkWE/oergaspMI6HZS2yf4gVzzAI3dIdk77t0JK91/5i1WzrznWFnRWPyhfyq9vfM3DSL8X3HcX7PgWmfSfy5LWWhoblkOHvb7NSNWiK16IaPfp4VbG9fBKGejRJ6KtsPJaRprMzN46ywhb90JMvW7GI0cFR5EcCCYX/lopJIQty3pYlC6UgrHQnEE3t5p/RW53EP54gpSfPmtfyzLUCzZX2nGVoSBkh3bFtzlTa0EXiGqPnP3ejZX6X90kcYN/cX6V2e0SQyf+lI/H3HpzzX+l9ew0MfbKRORfBKydQcH1dtXsrgDpew/OArgEPic7bPYeKQiYAjkN/6TgnFL3wPXUDFLqNRGYsM5/M9/1/Rs7dxSe+R6QWCaTBh1+vc+4aPTyt9rC8MM+CyOOt632b4+D8URg4zobQEqWwnw3zdk2jrn+b+4vsbnfOS3iN5Yp1OyAIQiFAv9Oxtbo90r+5l0oqHMISBRDJx8EQG5Q9yG8DEBFO8YAbcUri7595DXcSCLMGv37qb4T2/iebZxx9W/gwU/GHlYs7q1iftPTcqrZt3Dz7hBWUxttNQ3gq+hSlMJLKhUUu0q92iLkvJUqBrGprnfMB57mFLcskLqzG6FaFhYxomL5oGA84o46q5DzGMDaygP4+PuMINU8TQ0kShVKSVKQk0shaj39HK9kOjneIcV+wdo/swdnBJq4t9prvP4+3Y9lkqAC0JA6Q79vOgyLTh+NBG4Jngn99g37NrCF17Gf3n72DKhb9leXB66nGQzTTAcOughYbXloSE4K1sD7MqpxM5fC5ax2i4HThUf4i/B/6FXduTK4qy6b52Cgin41gXmcWCxdVsb5eNP7ehpKiH2sUwsQH9O4Mgt/GtBA8HmbpmKj98vo7BFc7fVJXJxgdepN/PgfZdYcb1YNURyGkHnfMIac6ElJAM4RM+aq3alMM9Xu5zPe/YAqO2C5f3OsTRTl/iqRRWL8CU1VMAHBdgtAHM1DVTubnbGMYfqYE8y4k3RkvhbCld6x7vNrfcK7mBTFNCzA1jHA5ydbevsHPdy0yoraPraz9EdClyoiQIyOuR0NVOfPw0EVmHkeSmPBq2wLsNCShNoincft+PT5rA8uABvp8m1h/bu2uHp19vuvXHcEyx4LjvaHx4AOCVdxcQmbeU757rp9PwCSdlWtVnkT2efM3WMJijJdZzU8eeLs1VPmuF6fOKNgLPAMGnVlFX7QOgrtpHt/k76XZnCpdnMw0wEuug7+LSwe+w4OCHhDSNLBkmK2JxVJnomkLXNGZsLCdkSTTg4nm7kcpG2CHqlQdpK57Z2YVtzyznnzcOZ8+n9fRQu3hJ+wkCMKc/C/+1MKEVaczylEpybZS8ndQ8gVz3CXL2j9GUHe3xDWX1ISQgpEAKBcpA6aCUzjf/cxUKGyEEj531U0b9+278KG5Ssc5ugoKFgvLrpxOI7HevbSqTiIo4sW3di1TSnYI2e8trzNn0Ci9WH8RvKVcBKissQ9c0whEn1h1zZe8ON24g0+jZpRDe17x2jdMcJtvDIp/JX56v56ldtawphT/+Py8zNs7gf0b8T8qudvE95dt5DAj1BJxJa7qpNdnvO7aeE0UeGZNAfGlhxWKChiCgw5mWxrDIBjbrxXSTu3jV+ClZhGEpsOKvcOvCjEk8bIebva/PIns81TUzVQhO5uzvlljPp7ul3RoUps8r2gg8A9RV+2INR1EI6qt9DEz1g26mAUZC4hIFXBTpxUJW4JMOYZ5bbzJnxz3cdrmOMGqYsvIJhBZBSI2VWSb9a2qxNC+vh0fwuH0l21QJ4GRk3z66D6vFegCqTZulWV76fzCVmrKvM+m9SWho2MrJfreUxcelMGS7iv2m8BSG0aw6ZxBIlISdfwUKgVAa/Q/05Pw+V7Pr8GEiKuwm5t++/AFe1gS9Q0dB9zg3a4XBzKbd9k+IZF9CScdOTu3x9jlMXT0VgUABV3e9j2DNK3xwYDmWAEvAHI/GRMtyFSB/rp8XryjnrS2LsWt7cum4wfQqyGHlpiq8updQ1EVfVVuVsN/JWe0TB08EgbsPCMF//8um004TgC9vhx/9K8RD/+95zut6HqO6jkoUnmZnN7kNBJ6zn+FvEy5h+kf59OhaxXVDLmpWMDUijy1v4if7mFpzxtYW25eE8r0YkrxCwSseZkJhnvt68rCLKd7Xm93z5qIjXe8Pym6y2iJZMaq1apslxfh792pZTFn6NhO/fN0xhQ/SIXldqcg6E4Ug0yqB4yH55qznRl6uDEmvtVm7bZPMTh7aCDwDSHDreAGXzBuhmQYYyYlLXz7zSspnTiXgMTgzFGH9eddyZ7QpS/BwkKmrnyQcMVHAmfURbN2HUvB31UDeALk+h4AGjLiEypXPcUNXJ1tb7puF/c6bWMhGS33g/xn8fJrFwEowC+vpftFhapWXLDS06/5FsGIef9y5gpC9CzSbLCm5Sn3IlSsX8Y8BDyWcy1aSN7NMbqz3ssc0CHhMvhzy4LdtbnhXJ6g+doXgxCETGdNjDG9tWczk122e25jFGXmHId6hIXTATlCA/BGLM45sYnZkCbvDkl6MoqywDE1oaQVxfI92cNz2utAdN3kUAytxXytwwwqzt81u3HN990fEe1is+iPcOS2AUgLxcTHX9k9BoElIIA8UZW/fD5ZNxj3Hkxr1yHA+k//TCaUO89ichY2JJskrFKheAWZWtN2sl92+Wu64uC+V3b+NNv1ZlLSc3RB62iEtqSyqbCO7MSmmaSrk1bKotySvLMni1YUp1pwCyQSW6brSVYQ0pxDEK9umLpi9Zjd3XNw34ZhUJH+ikKnV2hrDA8loS7Y7eWgj8AygCYFSDbStQULpVaIWnr5RRa+CHP5+Yymvb1rE5X1H0b3nQPjBPPxRIaeZRkIt8otXlDNl6dus3dKZD4d24Pnlc1ih+lOplfDtnvV03Pchbx3pyfRlOi8sr+SX4wbyiOdsFJup1zSEVI4lJQSulCFGWIIHrjfwScn/7A/R84jG3+xv0Gfw+QytmMeEnbOwEShho0vnE+fUHyWoe5C6E8eOnVIBz1pj2GSYLChZgiUlGopO27/NTllCyEoslfLn+okcihCp30TEtjlYMwpv3idIJdEQjBn8HRj6XXcSW1HEYuG7P+X59k4Y49Wdc5ny1SmJ7VrNzvi3LIBSy93/+B7t4CQGGrrBLUNuIboRmMPmwocrXaVsTalzX8rOIhjNuHcFIopyQ3csZgRHVVaLe0YnkMe+CrdbXEY9x1PkWCwPeppeQ5JXqKzPFVC1oJEw7d53KPzXIvj4P87nBl6ZdkhLKouqk96pccOgpLXGmgpNWfo2ryzJoq62U+OBPMn3m0IZTkdS6eaPpyLr5iza4f5ODVUhtuKxuZsbJfilKgXMoKFsRsjEaj2e8MCpxOkeAmjNaCPwTBB1FTcg7AinWxawVRVn3JAjeDjIvYu/Bwre2zuV8k7l+GOTx4LzmfD+PU6tudAoH1fO9j3ZvPBeFwDu2x7Co48mbEv6Gbv4aeVPEcBtBowLP8guvSu/eGUd3T3nI9kCSqFcd6hCA6TT84GfTI8wuALWdYdHrtMYVh/CRkcqGLPmh8xu74HOeYQ1DUPoGDV+/nloKQURnVfbO9a+62oFUAaf1p3P275teIRAaRaWNNjTaS0cKMQnCt1SqeDhIG9tWcxjCy0idmcAdkQG8sywP7G7+h3K+lyB33+hK5xiFrSWE50UFr3w7PUzGFW1xcn2zxuSQBaVE95g8aE8tkU+whAGlnLasMZqyxP60D8/kfXX34C14kNWFRXzwLgCDPUJb25/hXd2vMZNg5Mmmn3tPtflrQc2o3VYhq+uZ0IL2ubgkkde093iGmWOv/8w7szzKOEP949PWY6WcJ44r5A/vw/leWmEaX4fuOC/3ZfphrSksqiCO4MpGwYlKyf+XD8Tv3wdry5ciM8kfQldEwmh6UgqnaV3LIlevQpyuGN0Hya/u8npaIdopGikKgWsWLe1RddJh0ys1mMND6TESZ6ydrok251uaCPwDCClSnChSwxAQcVi1h/2M573WGR9iT1Gt4QfeSbxOH+uHza9S+C1GyGvvdOERffywsev8cbaKszOdVhHBqPCBdhK4TN1hqkNCHAbhXzL9xLPeQewt/7LbLXzyREaIBtYVinyLJv9uslPX4jw5e3On4dWwJR/1LPsGzkMrg2jLIWGYlh9KGpwKmxhY7Wr4JbqH3KOXcWSeh/fitsLHZ1v9fsBPc+4kC75w/jhwleRtoYUFlr7Vfjy1vGDnn/l0n6D3Slfli0xuivEtkkYdiF3jO7DuUP6Ag1167G9ilnQUtOiprGjKY1d+R8IvQgIOP+HxMhCGj7+/tw0XtTPwCx9GqE55O3RPdwy5JbEsZlRrL77fv539jykZyui7gjkbCKiQhjK5/JHbKBMieEHq5pF1QEqa/aTVfwqSgkmn/9PNM8+Zm6aQ1F2EVW1VQluzbSE2US3ONf9GSOzGHkbWYCgsv1QlgcP8Lfry9jzab0bh01poZbd4F42U2HaFCE2KmkjmPjhJvJBMiqhayIhtCXrcpEBQSU/p7GDS/i/eVswtNSKRqr7qGh2VzNDJlbrsYYHGuEEjo891Wht8f5TjTYCzwBa+3aoI0cbXpsWIKB9Vy6bfS2jhQ0euEo95M7Sdi1IJZFK8ujFjzb6wRUY/Xl97gLGvv8tyjQJee3xSkmYMM9veApMG28BePPncnTbnTw47mIQ0JM8mPVP6pSHPabkqa6VQCVe5qMfPgeFQsSbyEJwwDRRSrkx3phTwaj28If8DoRtQeft/blDCXpEItx06DBTOuZiRc+zL6eO1UcGcG7pPKAk7tSCbw0ahz+3FFY8x1927eT2wk6AQGgWUmno2dvoVXAuMzfNcWSyCgEm3nZBqCli7OCG88X2bl/tPiQSUzhZ67H7EAh+1XUMJbunM9MrONMS0aY6DlnYUrFc9kP6GiwhQzhu81hNfTK65Ndglk4m5mbx6AJD87nW+oAO53HrSy9RUteOoVtuYKvPZFJRHjd1+C/C0kmgW//pQu5d/CRSSSepTnNGmF7T9xpe2vSSE7ZIFZNM0y0uQcGLkVmMvAeNp/KMW7nkud0otbuR5ye5o118P4GWoMmGRM0pATHlJOaST0KzvbabUABavK4MCKolrWpbdB/Hgeb2ON0+pN2DdArMyRofe5LRGuP9pxptBJ4BBiz/kPXDzwJA5PgY8MRP3ZIcTTiWsKX7ePYCm4I4IRoT5gCT3r2DmX2/S/moPxKI7KfA6M8tz1Qwnve4WIBfWjxStZdJxYXYEhB2nJtaMvFrcHY/SaA6QGFhGauuepb5yx9mV8ipQw5pGl6h6FESYpsToiYubA9CYQiDdaUWQ7fHqEqxvocgpCxM3UNxv4/5/eZL8UdsdtcYGPnr0RHYQnFjvz7cseZeph7Mwm53rnvay3qMd70IvHYHVTntMAA7GhyPSJvJr9uMbb+Ksn0VgMKjeQlJCxnJBa2aGRte4jrPRY2ScASC87ufz/zK+W7muC503jmg81BRRzeDfnLHMzg3asnuaT+Ubf/YiVWn48Up77KFoKMclvb57rU2kGVohGQ9Xi2LiUNuJj873xWKSz+pQH46gjL5Dhiw0nA8Fe7TUdLViGLPO+Y5mL5xurt2r950rXpa92cymZ1/L4u3eVBqd8rYd1lhGTKauBhREaau+jtjjtbi7zvOFcyZWi7H7fp8/8/OxqTo9tckmkkIbdG6MiColrSqbU3IaB+aU2BaMj62FeF44v2Zfv9bu4XfRuAZYsC/fk/Vup0MmP5H6PuVuHecL76BoGDQaPevRdlFWNJyX2t2mMCSvzC+Noz/lgXM2ObBlopF9pfY3s5gXk471ntMECYIC1QDAXt0nQt69XUtels6WcuWEQHdiQ17pUQzDc4tuIJt2z9CKQuiAw5iOWxSSLw/upz9v/s3ebsMIsUWD1+fiyEhosJ8Ur+MLd2ckZyDvjoT40A901bNg/peVFsrUabikiOf8oZTlwXA/BU7eL/0Y85f+xJBw2CTaWIDhpRY6NTt+QZfCkcofuESTE3wiNfk9gLHQvd0/ScgmLZZMHP7//HieX8ksPk1pLQJyTBe3cugzoNYvHMxtu2QYMQWvFdhY3b2gGYhpMEreyo5d8ilkN+H7sDUG0q4+dkVhIJ3QtY2rDq/O8Es1VjUssIyNE3gwYOlIuT78hkf10UvFutcozmtWguUjox6A0zN5NGLH6VrTleeXPOkW9amoSGRDSVrOOSeqlY9hrSWZQoyG65q0rZi9ef6mTh4IlNWTyEiIwirnsCSv+B/7w9OG910rvoTjeO17KLeia17a1je1DS4NHCFb6ce+JshqNacKX3cJNLcc8h0fGwrw7E+s5Zk+Ld2C7+NwDPBpndh2njo92uYNgmun+mQeJovfvBwkLvn3u0mvpnoaCjKjh5BYvLh/FnQfTwhSxL0GFzTtRi0GNlbzvxrFAgbXehoQrBu/7oEi941P4XAkJIzfUP57tn30TWnlOeXbkcreRpQLnmDY73+dtc7iG9nRQ1Gg3GdLmdm9SsIAWHNOde72R4qX3uZGfZFRGzH87DC7O/M0NY9gMBAYQmoz1vI3e9/yF/738hdh4oJxdwGQqCkjq94Fv12nIMugEgtVdl56AJszSKu5wu2FAT+/T2KbItQfi4IQcgOMajzIF684kXmBOeweuch3v3QyWo3Os8FaaIQXN43sdzrws6f8tqordz2vpetoeHu319dtSvtXPOvlX6NV7e+CsAvP/hldGGOUIh3pc5RD/ObDQ87bwp49OJH3XKz2IztKaunoKRCIhOS6Lya2ahWPRlpLaqkMZzNxZHH+Mfw5NonMRRAmKJQLTOzsynbNItAfmmDiz1ucA6c4OYlJ8Cya+nUthgajfT95l+o2rXMSZJMQVCtNVP6hJBIJs/hBIx5PdU41meWqeXeGjP6k9FG4Jlg7UuNX8es8BRf/DnBOU6nryjOLzqLe1a+QakUhGyLnwfaEwysxdQF+IJOzDp6rJIa8mg/jPYbUIB07FlQJFhzzsEOA+qAts3LrZUvMeXqq7nrkgKmrDWwVBhw4tQOkcRiyZrr8v33vlecMwgLlMISgqkd2tHxcBGRsHN+UxdsF11YNfZVHp33F84FLM3RDMKahhdJec0mLE3H1VoUCM1Cx4Rhioo1Bn6RTVnYQkXd6zHlQkkdXZeUhcMEdIWpFBEhMIVDeKO6jmLi0Ils7VLDe0sWkmXsxT4wmnN7debGM7+ROMQk6i7sLSWveSTjwg+6NfNfH9ql0aONCciwHU74+2+W/AaP5kmIh2qefXzz1Uew4p5DPCH7c/3kZ+djCIM66jCFh75ZA9hydCWgkDJMUcSipchkYAn7NhPcNIuAN8vtj18+rpzAljcpeu9B7i4qxAb0zc/xl9K/Ej8454k1TzDGPwYZzk9JlsdsAZ4Ayy7l1DaxJ6XSnC5hNL4PP1ULKM9LJMEGpSXR89IixGLM1rEVkqXb4+ZIJKNn8xlb2CfTDX0sIZ5MLffW7JWJoY3AM8EZVxNcV84hTSNoGPjPuLrp40Xiy0G5ffBbNpZy3rSkIqIUZtY+TM9R9wMOH2sIhNM5LTo33FY2g/IHoTkV6A6Uzrc+PUyuVHS2bB4s/giNAHcueJlfDL4VU9fRldOq9L6z7+O3S37b8NHoPw6BKhAKJTWEcGK5UjPZnbOH7Kyj2HV+Luw5gOvP7sGIfoV8I/sHVG/YhEcqwsJxlStdsGDHAmyXvKPELxURLcLCA8tY3LWE8t7X4+87jvsOrOY3S36DUBpoGtf2/S7n5xYReOt/AEkkasVHVMRxOUeFY6/Skdz1jQM8vvZP6OisParTfY8P2nucmvFYbTUKw64jjJdz9I1U2F148JtnpLS+YwIyWTmKn1YWE5pvbVlMxHL0H6WcPUyeClaUXeRmrddbkpKNudxiHuS/i/PQlOKeFQ9R3nVEi2J1zVpg+zYTfOqihlnwHz9F+RUvOsKt7Fb+cGQ79cFZzp7KMOv2rePmITczZeUUIiqChkagOkDk0FmNyDJWOeBashc9kpBh3yyO07JLLtUa2fEg/P0y4uO5qUICTU2fiyfBY7XwExAfY+79U9jXu0X33NQzbopEWmSdf0YWdmt0Q2dqubdWr0w82gg8AwRNgwldi/m+oTOhazHlpoG/iePH9BjDE6ufQEqJpmmMIctxdasIIbwM1zYQ1A2ye/6VaKNS6g+ehy0VnrxliHYbsGmw1JRULNy5EF3oABjCpP7gxczbP4AB3hXMLV0E2CDAUorfrH6c/x1yO7Qvcr94mw5t4vn1zwMkuNUBIgfPQUOg5y1E4BCnN/9dFBoRWzF/213M27iX+68p4k/rfsaNvhuRuoGpFGgatpKusgEwvC7EDw4fZnr7XBbkZBGyQ+joTLX3MjZUxe+WPoCIKg6PfWUyAJPem4TIz8OWFvFF9+VrnqFk5RuURmw+yDJ5rLAjABYSEQkRWPIIOxf9mUmFnQGBxOZ/s72Mr4UsBedddAU3R7vbpUK8gLSVzXndzuPCrhfy0PKHMJThVgvMWF5BaBcYSGzpPIc8T0nK7lc/Gf4Tpq2ay9qNvVhV255zOr+GrhT1moZPaBm54mIKwb7afU278aL14XOyTCwUEU3DJ233uODhINO3v5l4cuF8R59c86R7j2WFZciOjeuaA9VzGixZLXGO+qkQxsmhgu6VM0mO5wba5zTZwMWZZnc3pmaiUAkk2NK57CkRH2OOvW4BWTZlZTdFIqeDi7e1rjFTy72116+3EXgGCGx+DQAZtZQDm1/D778w7fH+XD8vnfcwgc2vOTG3nK7w3h+Qhg8RkXzEALJy1yKJuJ8RSqBCRYBya5djsLF5YcML6JruauI/v+RSPty5jTrRHnZFM8qiZoStFL9Z/Td+duYz7KzZydQ1UxmW3Q1dSic7XDid1ZQUgIF98BykL4iuTBARR0ADVrTcS/lWkZd9hCcWbsHuYKGUQiknxitV4zatX7IkxcpkYbbXpWIbm1lbZjF76+tOcp8QIG1mr3+BN3YvIiIjjc4DML9qGR8UdaR85x6eyWnfEPtXCgkUheqYVFxIRDXs2S87taeo7EZGDbqey5sRpOkEZFG7Iso/KaedKOCW51fQIxzhZe0njDF1VmaZPFl3F527eCHwLAEa+oB7dS+/XXI/ERvMrosJbpvElJo7UQXT8Ok6CK1ZV1y8QmBJG1uBJ1qWlvDZqOU9J8vk7x2yHc+FUkhNJIxj1YXuxuENYbi18PH3LcP5KWvKNU+SJStSW7InEwmhAtE4nltmGmnrwmNKjMLpYqSESjh3S+eyJyN4OEiAWsrcDn20ONbfnKs2HYmcDi7e02GNpzPaCDwDlBR+FSrfQETpqKTwq01/YN9m/NOuw49y5krfsgBuWYBWsZhVRiH9d6whN7SXDYcbrGEtbzHGrhuJtz7joQudiYMnouwc9h/K5vcf/QxBXFIbNJxMCGwp+MW7U/HkLwLgVaCbZbHDNN3DraO9CFVfiQoX4NU1QODVsqLtURVelUW9tPAWvkMtNrXgZp8nuJwT2rLBlp7n8K7eAbt6YcLfJRJNJR47a+c8dGGSDGfYicLGIeoHOnVkuc/rvBndov/dd4Aqw0CLaxMbQ7l9gKqDqykKVbXM5UtDEmIsj0HrZuDb76eiXqe/VUufOh9jzqpn9cFN8OHvKDN06FoSbfZigRLR0acG3s5z2XngYsyKH3LDVw/RKdvb7PXjrRYlTcJ7R6Ps9jxw2RWJ8c9Ns5hQ2NGxvKOKmSkMJg65JcEFq2kaXrxInH4EyfXCTbmR44nenaP+WQrjFPFcPzTp6gxUB5yxtSqEL2kkbLpkwExHo8a6BcqSAh7tcSVE+h3zUJqWumpPBxfv6bDG0xltBJ4BKkID6VPxdTr0N+hT8XUqzhjIuUnHJGTvVjoutaAKE2iXQ9m8+/FfdB/B3hdwZ2yUZRQxoamhMe6sbM7peC+/Xv+nhAEkpjCxkWzZ0ZFXlrRHa78coyCC0iwMKZFJ5GVIiYnE49mNm5qlaCBv5ZixRrsKQoDX0Bg3YAjnDvo97+9+myLtXDrn1vLOzn+z8eAnKJXY1Q1IUBaSsfzAOgKa3ujvOjqa0BAy7FhEQiCEjkK5DVtMzUQXOl/r/nVe3fpvNCxCQrDUF2ul6tzLObV1jD9aS9Aw0IjF2xvWsmDHAhbuXEhYhvFqXjRNSzvi8prXrol6BeCxix+jqrYqSUGx2NR5KzfQiReqNHrZik7tvHAYiNTiJ5spxdfwnY/qkZFc9JJnAQOEhdFhNUaHtdi7b6B80/MYmuDJtU826X6OWS0aHmwgUuN04lv6ic6EMxuOC3izIOo2RylMYWDoJmP8Y9xjMhGgzbmR4y3Az1IYJ5BqXGe55DUmozkrMLnWO9O4bfKwnEkVr/BQl2TJkBkyddWmmlDW2knxlK7xJLeEbW1oI/AM0JPdTJVPsdT+OVPlU6zjSqDUfT/Zgnnq6kLW5PiY2qGzY0ce+ZCbp42BETcn1IZDXDxa2FzRMUTXd3/Bt3KyeaF9NlJoSBQRFUHZ8Hr1Q4Q938YwdmFg45HS6aamGrLCdeV0YfvdnoM8b+XxYYfYhaL/SIkO2NHjs/Pnow5fzJXDe/DDRT+jLmKBeBPiR0tGXdbugol7nQK2stGUllBCdU7ROfTp1IfpG14ATSdmytvKKZX7Vr9vcV6381gM9h4iAAAgAElEQVS3b50Ty/90MPZehSh0KgBUrJVqdD19IhEnodCyKN+zn0CWDy78MW/sDbB0z1LnutHDQzKET6R2+SZUDCi4/d3befwrj6MLnUg0xCEEICSW8PLUgPO5eehtTlhk12zXlbta9kSp9dTX55JVeTcDByxjS+1ibBFGSROt/Uo0kVksMEa601fP44m3QYWd6XLJWfRlvS+Fj5/CJ22kJpg45BYG5Q9yLPgoYsI+XXZ18HCQQ/pihMcZcducGzm25tg1TqZgjicrgGteu8b9vrwYTdJLdWzymlpqBWYat41vmAOgCc0Zq3qc99qcxZ9pQlhG2d+fJ8I7jVvCHivaCDwDHPlkAQBaNH525JMFMPxs9/0EC6bTCm756GVEx/bRH7dDlFM6+OCTGVjYjbhPCMe9fNu6KejFnVEQTQlTrpXrZD5HyO72TxAyWmIm+MGBI/y9Uyw2LLCFwCMl+0yD275yGys9q3h05aNxF9MQQsdAw9IimB1XY3Raxwd7ryZshxFa4/W5i4yDFlUu4qGjY2Pj0TxIJAKBT5ig6Xxv8Pe4491JWNJylBbpZHODQ+IzPpnBed3OY+qaJ7GlBBR6gU18W1hd6JyRU8ramiAv5nXi5Y55lPf9Pv6sPPzRXuL3r5vqlkjFEBtikmx5BQ8HWXdgXcLfbGWzbt86t/b8YP1BXtz0otNlTYZ468hm3l70I8rHlUN+P/jS7wl26sHjC3+EVmDRrkAgd9zN3Wfdxg8XLUVIL+jw84uv5w8rf4ZPpM4mTtUO86fnf4+RhdVM/2gFPbpW0aM4kRz8uX4eGf0XZm+bzdieY+ma09UV8Cr6Pw0trbCPJ4R2PeFG/2Qu7Te4yWE88fPcT2YiWzJZXd33alfRihBJqF3PhNhaYgVmGrf15/p59OJHmfTeJDShoQnNGat6nPfalMWfaUJYptULmRLeCe0PcLJwklrCtuZubG0EngF2534ZABmN38Zex+AmwnRagV74ItEKIwdRNoxoGqYQTnxUqJQkqQRYiLgC6VQu6gbL2JIa//b0Aard0jUNDaUbnH3Vs8h2g8gNljAir5JlB18BFB7dS/3e0eDZgWi3HksLI6TJtPXTkMiGEaEp1mdqJlI6xCyEhhZNZIMoueafweDOg5m+cToaGrod5qZPjzKmPkKgag0y/txx14iFEMrXv0pdxIrGj3V0zbHTY+V1d3W9kkd3vIQtBDY2XmESKOiOP2pdBjbNRBNa4pqFybDiYWQb2eys2en+AGMCzulqlwThCOcYQZzX7Tz+tupvrN+/npAdahihaXSCshsIbJqJAIQWwcTgaz2eJmu3xdFtk8C7DUI9KbvsnJRWYHOCtkdxLQH7lwS2w78r/i/h/eDhIPfMuweU40kY2XWk2+zH1ExH6VChtMI+mRCKi3bTqyC1Czi2Tsu23N70Pt3H9NXz2Lf7TEbnnrj69lRr21mzs9EzSnfs8SbXtcRiH9V1FDO/PtM9NvhRsMXXa4nFn2lCWEbnzJDwTkip3anASWgJ2xrL4OLRRuAZYOTZ5/DGIwNpV2jwxsKBjLzjnIT3Y3O+b1/w4zQpaGBioGk6wrYTiYwoT0Nq5kyY440bA0Y4GbU7hBcz9mcFVs1AIgfHsj00gNueXkjEllh6b9r1NAGFDcj6buh574KItidVqTPA4zEgbwAl7UqYv2O+k1yWVDdtK5v1+9ezau8q5zWO9XwQyZwsk4O7lqBrGralgXCUEE06VrwhDDRNo0g7F3gHJU0cn4RCRUu27N03ErbfQtMa9skiAgqeWPUECBjUeRCa0PBoHsIyjKmZCCFYsnsJAO9VvufOEY8JuLBMbOACznni67rvmXcPUkonnq43ZIMHdwaBBsHqFSYhGeZdWc3cjX/iy+obLDowyo0rXzu8sRXYnKBt6v349wAWVCzAwsKrexEIdxhMculUDMdCCLHviqmZ2EpFXfw78Q+2mL8xdavaVGhKMMYPs4mtbUK/CSzatcgtzRzUeRAzN82krLDspGQ6t8Rijz+20VS2DNDc+uMVnUwVi4z2JEPCa0mpXWytOfZnQPAnoWFNay2Di6GNwDNA6Mc3MXBnFRXAwJ1VhH58EzzzQsIxe60NCc1XAOLN2e5aJ348+jfc+s6trgWdQOLgtC4XAg2BJgz6ejux267jkHUk+gEQKuYgFggBnpzKuOsJQrUldM6dxaIFS+ihhrHeLkLoEN57EUrAlwsvImB+5F5fExpCiYR1Kykgqdxm/cH1rD+4vtHeGFLSJ2KzNSu7ERlaQvB8bnvnxf4VeDQP5xR+laV730aXNhqKCZ8exTP4Rq4ZdgMynM/zi45A7rtoHVa492xXX4Oo70fZgA5oG/+EKZ1mLwK9oe0pzrCQyaMnU1VbRVF2Eev2rePt7W+z4eAG95jZ22YzqusoV8DFyD4GU5is27/OtWxjTUBCMoQhDEZ1GcU9w+5xypOiwjpmsU2d9QPesvcQ0jR8UtLT9wGByAVNxpWbE7RNvR97z9RMIjKChYUpTC7xX8LYnmO5a+5dKKkalU7F0BJLM34dEsnEwRMJrO/Om+GGGHBTrWqTkU4wJg+zuepLV5HnzaNrTldeuuKlBKUqnvwbjTdtodvzs3STNvUcUik6mXSLy+jZZkh4mZbaxa/1+9nfJ3g4eOrJ7gQ3rGntZXBtBJ4B7GWr4nugYS9blfD+op2LmL9jfpPnCMp9rNu/rhFhqFAXhHdXkqdcYGGxPlTd8Cfl/KNH25269dAJH1P4Ct+mFsV0YHK7//Db+nvY22N69AQKmXeUO8+4gCnrNMBE05yhHIYykEgm9L6R6ZueBpG6xjt+PV4l0YDbDhzhh0VZ6LqBHVePnez+t6TFiv3vgVDYCGzgpQ7tMHb8m2uG3eB4Mr49jNsX/Mn1ZAgBX/7SAe4f5bjtynOy+NvKJ5ijDmKR6AWQUlJVW8X4vuNd97JlJ7p2x/YcC0Tjxxc9wqT3JjVkwAsTQzdiW+XWdcfc7JayWLRrEfcMu6fRdvhz/dw8+CbeXnE/Puns2zdG3cBgc2CTccPmBG2692OE88hFj7Bwx0Ke3+A06YmoCGN7jqWqtipt6VTy+TNJBku1jvlZ1by5crl7TKpWtemQTjAmt0CdsXEGhjDczP3xfcczM8XY1fF9x2cclkhGa3CTprP4M7EAm3pmzd5HBoSX0fx2GnuEWpu1eixILqM8FcmbLUEbgWeAI71McjdFEl7Hd8pKSBKLR5ypLYTgUP0hQKCUBiisg6MwOi5s9LHkWLSTBQ0okEIw9tNaZue2S3u5WIB5cuf2dPfN5ZAddTcDqw8uYvXBRU5iF46VE7NaywrLmBOcg6QhgzstlJNo981PaymxJPmV36H/WTaL97+QtilLQuOXmBtcE1jKcpOS9lobMDSdiGxQHm4ffo0rNGTJFbz2ejVayZNJ9+zc9r7afe6zibl8TWEyMH8gtw29zR08EjwcZPa22S7JeXUvl/gv4ebBNwPw5NonXXK5pv81zNgww3EfK5i6Zqp7XDz8Q66jHAisL6dswAT8Q65jeKOjGicE+XP9yHA+Sz85gPTXNBKQqUg2nnBuGnyTOwXNq3vdZ5lMkM1Zmc0RWfI6LuxXyD9vHM6rq3bRM3dfxtZ37FypFJNMWqA2ZxW11O3Zmt2kmbjXT4XykWqsavL3KWGttD5r9VgR28/PWslLhTYCzwAvXJvHkBnVdAE+6AsvXG1S/Z9voKFhkVnyjq3saKIYLjmaeU6TlZglHZ+zJqKEnUhQAqlIIO/Y2MpU2GoaYFdELyESsrNjoy69yutmMQeqAxwMHUw4x7eP1IJSbPYYLM/KxooRsAYWGjM6tGdGhzysHYU8MfybdN+q+NeGf7mTuL7V71vsOrqLBTsWuCVl8fcTw7r96wgeDlJWWIaIcy2Ymsn/b+/Mo6Sqrj387Rq66aahgWZuDA2KogZjEFBDDCQqGnSZLOVhiMkTTZyeIcYkKw9eTFbMMpEk74UkvkQixCFqBOewjAo8I0qMMkhkcGhAaJSxmaem6eqq/f44p4qq6qoeaKC66P2tVavuPffUqXt21b2/M+x7dnlJeWJ/SdUuCO4FDblgKRJmVL+L6FvSl6dXP83MlTOZuWom00ZPS7nx3TPyngY9tJi6Z3gLA4UEJMBNQ25K5Jk2elqKd/cza56BqPNEf2n9S8zfMJ97et+TKC/xuFP/C6GoELLcvDI5BAGNOgk1FqijKFgE6qZCkm/y6QIJpHio33TOTYkV2eIcjZCNOqMno87oyYIFCxrNl4lMPcT0Hs+dC+5s4Lnf1KhFS4c92/IwaVN1zVXjI1vDIX6uJR+VNDiPvPBkz0JbbeSZgDcDAX5zTZDbOgn3XxMEvzxKNuFMkOyQJpLIL64DTkKh427ZmT6nkjpUnjZsXlpQyu66I6IbIOAeIErLl/5oVVCChCSUEKQ5H85xzk+qhGOayD+oLsLUrm4eOyzC2P7jkZ2SeMZbA0pYAtx+RZBAwQ5mVc5K1LNe6xMOSG9ueROJSgOHuaAEiWqUNza9wZtb3mTa6GkpQ/cBv3Y4uIuob/fBcHgA4MKVBkMB7jzvTpZVL0OQxNDri+tfZNroaby7890GownxizHeY433vDN5d8/fMJ8nr3ySycMnc/ebdwMughcKOw7t4I1NbyTyxh+da+wRq0wOQfGfPJOTUKYbZbrgjKkYw5iKMRkfRYtvJw87A0x/ZzozV6YuKHO8hKyl88vJ553ckGru8HBLn/tuaf4TTWN1zVXjI5ugxV/zPpqXcDKsKG18tb98oK028kzAm8Gm6MHMB9IXN0mnsUVP4t7k6dk1LSFpPyhBYhpLEeM9dXtSyhjRawTFhcUs3LiwwVB2UIKMOmUU408fT3lJOTOW/Jq5m1/nsM93OHqYIglz7cEaZpcUE1Dlnm6dCag6x6xAkGHlZ1ESLeG2QbcxY8WMhEf6nsjHzK6c3aCXPfuD2Ty1+inGnz4eRZlVOSuxmE2QIH069mHbwW2JxVZeXP9iytrdMY3Rq7hXioj99Oqf87Ol4qcm3PckO6UdjrpGybyqeYlnoZNXP0u/GJPFGxrenOIxvpMbbBGNsLdur3sG2Du5xZ83j8QiWVvpfbsfINB5MUWHBiD1PRIOQdmchDLdKJMDdaQLdjbSHd4iGiGkoZTGUTYv59Y4eLVmiDdTQ+poPMOPR/62Qq4aH40JWtXeKtbtXceDix5M/OZLqgKtDxqTQ9pqI88EvBms4XBqQoOx7iZIytNA85NWFzvyLg3SB3cbzPBew3n0/UcTZcV728ks2raIDkG37Gi8d5vM2WVnU15SzrIPX2bsO88zv6wzhTiBLgwWAkLXGIRUORQIUChh9zhPIAQSoFdxL7bXb+fssrMZN2gcT1Q+QVSjPPbBY4kgKMlENAJRmFU5i6CEGNntq7y248+Ae9Rs28FtLvqZD9YxdsBY5m+Yn7J297aabSki9q/drxIOBjkUrUNiwrwN87j5nJuZNnoat79yu/veWAQVF+kt/Vnolg7BIqSEcg0QIBgIoqpuQRuNJbyzBXGOcFnmK7/3z4kU9VZiCr+96JHETSybk1C2G+XRCNSTVz7JvKp5PLDygcQCL/HGUSwWS9g72cu5tXOsrRl6bKvDlm2NXDQ+GruG4o3C5N9teMWYVgWNaQu0xUZeXgm4iFwO/BYIAjNVdeqJ+N4GS320RLyTaLAuS6KH7vVaBQkk/K9TPM0nnDGBt6vfTilvRO8RLN22NKXXG48WFZYwAQmkCHhUo0xfPp0HVjxAIBaDss5M21bNtsJieg29gW19hziB2L2BmQvvpEgCIAF+62NAx+ckbyi6gR/9348ISahBAyEu4ooSFCdyEY0QiUWoi8GrH76HdAojAdfrj2ikwTB2pkeCkkVs7ICxzK2am/j8jBUzGNN/DNtqtqWek/i5YRr2EloyBAswc+XMRKPirvPvYuqSqYnVt5KdAIGsDYPE0H2slqJgEdvrPwDOAjI7CWU6l9bcQCpK3eI0ycPty6rT1vP++ySeverZxPe0VkRbM/TYVoctDUe2a2hoz6G8zMtpPhnN82Q3WkbeCLiIBIHfA5cCG4ElIjJHVd87Ed//2NQoWyYpj90X5WuT44E60uanm6DBELkvAgGJwfl7Sni7a43vVQun1HZnZ4FweslV/OmlHnTvcUbKRztsPZPJnbtx7765RIkRIAgqFARCfjlSISipj3bVR+sJBIJEtZ4ilI3hIsYdqCF4qJZda99nxerDnF1ygCcvmsayyM4U0XDzqDHUjw6kD5cHEH7X/0tsC4YYGuwIfT7NrC0rmL3mEQAiKIf2DqG40wo05oJ9FATCDRzIYnXdiewZRqyLa6VXlFbwP595mL+teYMrBo1kZPlZjBs4kVlr/0RU6xEkIUgu8laYmMa477wplJePYFn1MnqEBrNodSCjlzekOtgAvL/qIy4K7KRH13roflqD0JsT+/eh+74tPHlx5mU708sc2KMkoyA1x7En440yfQ3rLGtaZyo/vbz09byTRbq1ItqaBkhTn81mu8Zs+vGa5WxZ8Sp9zvk8kS6nNmn79LJa6oiVl45bTf23mlg/vaK0goGlA5k8ZHLK75atkWocPXkj4MAIYK2qrgMQkVnAl4DjLuCP3VtDmAIAwjgx/9oUb7qM89tJQ+AIojEXjMPtIqqM3X+QuZ06Uu+zFaL88GAlHITFHYoZUVtDr8hGlABX1l3Let0HW8oIdLyBwtLldNv7CabWuwGIc8JBbgxdy9YaF6oqVFRF/aEKt91pJR26vwLixDasSl00SChYyCFirNx/Ll/SuQTe+gNdFUYBtYQpC4epuHUhJN00h4bLIFKLFPkhAw2iflW1kAS5Zc8eRn70B6ivhVAHYgR4re5n1IbugA7r0NoBBA935+D6SYSKqojWd6a+YB8zxo9PEb1MXtq3PPQRqqcw5x8fcf913fnzK6UE+rln2TWY5Hk98lcse24iQ+vqqHjuO3DL68S6jGnUgSb5OxWlgs08G5gCQGxhkMCtC6nofloDZ5xvnRkiVtc9438ms9NOwxjcR+XYk76G9fhH4cmvH9n3a1o3x3GoorThet7pIxWtHQFozdBjts9mq1tjdf54zXLKHruUMoAVP+fq2L1soDyrbdLLuv+6odz2+LJm/1556bjV1H8ry38tnYJgQbMWnDFah2gmAWqDiMg44HJV/abf/zpwvqp+KynPzcDNAL169Tpv1qxZGctqKbXvuoAXdT17UlDtFldZ1zsxiU23aIxOsRj7AwF2B4M4GRBKo1E6xEJUh2NoUlddUAbW1SPAvqBzSe8cVQrcMz5HHNzErb++hTJ2aaeUc+om++nDTgKiWfPEKQ3spSi4FwFKoko1XagJFhCpD9ONQ/RlJxJfrSsxbB+A0nIoLjtSUM1O6vZtoqawN8HDW6mWjhwO1blBBIGBdREKUhZ/CbBZy9ipJQRE6NnJxcLetu9wYu4+IELfLh3oWuwaSLtr6ti8p5aYauIYkJJWWhRm76EIMSIEgnX07NiZHiUdE+fIvk0koqV0Lmc3nRqUGf++9O8UEbqyL2HbdDsk5+1dBKEORSllZSoz03c2N09G0uvYoQvU7kmpM8VlLSq/LlpHTX0NxaFiCoLNOIc0Dhw4QEnJiROnbHVrrM41e6rpULOlwTXT3N8n8b9rxJ7Jdjjq3zeXNPXfyvJfS+dE/x/aKkdrh9GjRzdrbDefBPzfgMvSBHyEqk7KlH/YsGG6dOnSY/Ld7w8+FQizYdIk+t93H3VEeHAS9KmPcO3+gwyod71bBapCIZZ1KGRo7WEqIvX8IHIzNxY/xqsdC9gXgK6xGGMO1tA7AopQRIQ6QhQkPU8e3z9E2PfAf8567ZM4Hg4K/WKbeaHgvxJp6XmSGRTcyvOhKSl5r7lkFP89fzUDZAt/K5hMkUQSw/u1hCkMhwncujC1de1b5wsGTmbEB/dwTWwqGwrC3HFFkMu6lVPx+ATQaEoP/Iq6n1GlfVN6IK9VVnPTn5ciIgQDktIzac5z0o32hDJEWFqnvY+6B94hHEyxQ2oPvI4vXvqFrEPyTfW+jrqHdgx74MeKBQsWMHr06ONSdiZa0wOPczx64Ml2aM898BP9f2irtMIOJ52AXwj8RFUv8/tTAFT13kz5j6WAgxPxDZO+S//7fk2XyRfB5mUEewyiZ7/TnamLy6BjL/avfo112ptOBzcwP3ARXYZcTsnBKkYEKlFgzZJ5PLxvKFX1PRgmH7BRyzglsIv+ZcWcH1zNhpJzKCkMESztx5q1lVQWfpLO5WeyaP0uBvfpxFWf6svWfbWgsK5yOVeXfUTxoM/y14+L2XWwjm4dCxhSXsrKTXsBGFJeytZ9tQxgC1tXvcri6BlcetFIRp3Rk9cqq5mzfDPXDjjMiEML2XXwMCtiAzm75AA9zv585iUWd6xlweLlnDroNP65p2vq3F58bqxTOezfBJ/4DOu0d4vnKTMda9FcZIY5uqbmIhvOgS9jRKAyox3iebvuXcuYS76Q9T/TnPnPo54jbcUc+PEgFzfstjgHnm6H9jgHDibgcUzAPSISAlYDFwObgCXAV1X13Uz5j7WAg/0p45gdHGaHI5gtHGYHh9nBcbwFPG+c2FS1XkS+BczFPUb2YDbxNgzDMIyTnbwRcABVfRF4MdfnYRiGYRi5JtB0FsMwDMMw2hom4IZhGIaRh5iAG4ZhGEYeYgJuGIZhGHmICbhhGIZh5CEm4IZhGIaRh5iAG4ZhGEYeYgJuGIZhGHmICbhhGIZh5CEm4IZhGIaRh5iAG4ZhGEYeYgJuGIZhGHmICbhhGIZh5CEm4IZhGIaRh5iAG4ZhGEYeYgJuGIZhGHmIqGquz+G4ICLbgQ3HuNjuwI5jXGY+YnZwmB2OYLZwmB0cZgfH0dphh6pe3lSmk1bAjwcislRVh+X6PHKN2cFhdjiC2cJhdnCYHRzH2w42hG4YhmEYeYgJuGEYhmHkISbgLeOBXJ9AG8Hs4DA7HMFs4TA7OMwOjuNqB5sDNwzDMIw8xHrghmEYhpGHmIAbhmEYRh5iAt5MRORyEakUkbUiMjnX53OsEZEHRaRaRFYlpXUTkfkissa/d/XpIiK/87ZYISJDkz5zvc+/RkSuz0VdWoOInCIir4rI+yLyrojc4dPblS1EpIOILBaR5d4Od/v0ASKyyNdptogU+PRCv7/WH69IKmuKT68UkctyU6PWISJBEfmXiLzg99udHUSkSkRWisg7IrLUp7Wr6wJARLqIyNMi8oG/T1yYMzuoqr2aeAFB4ENgIFAALAfOyvV5HeM6fg4YCqxKSvslMNlvTwZ+4bfHAi8BAlwALPLp3YB1/r2r3+6a67q10A59gKF+uxOwGjirvdnC16fEb4eBRb5+TwJf8enTgdv89n8A0/32V4DZfvssf70UAgP8dRTMdf2Owh7fBf4CvOD3250dgCqge1pau7oufB0eAb7ptwuALrmyQ86NkQ8v4EJgbtL+FGBKrs/rONSzglQBrwT6+O0+QKXf/iMwIT0fMAH4Y1J6Sr58fAF/BS5tz7YAioFlwPm4VaVCPj1xXQBzgQv9dsjnk/RrJTlfvryAfsArwBeAF3y92qMdqmgo4O3qugA6A+vxDuC5toMNoTePcuDjpP2NPu1kp5eqbgHw7z19ejZ7nFR28sOfn8b1PtudLfyw8TtANTAf12vco6r1PktynRL19cf3AmWcBHYAfgP8AIj5/TLapx0UmCcib4vIzT6tvV0XA4HtwEN+SmWmiHQkR3YwAW8ekiGtPT9/l80eJ42dRKQEeAb4jqruayxrhrSTwhaqGlXVc3E90BHAmZmy+feT0g4iciVQrapvJydnyHpS28EzUlWHAl8EbheRzzWS92S1Qwg31Xi/qn4aOIgbMs/GcbWDCXjz2AickrTfD9ico3M5kWwTkT4A/r3ap2ezx0lhJxEJ48T7cVV91ie3S1sAqOoeYAFuDq+LiIT8oeQ6Jerrj5cCu8h/O4wErhKRKmAWbhj9N7Q/O6Cqm/17NfAcrlHX3q6LjcBGVV3k95/GCXpO7GAC3jyWAIO852kBzjllTo7P6UQwB4h7R16Pmw+Op/+797C8ANjrh43mAmNEpKv3whzj0/IGERHgT8D7qvrrpEPtyhYi0kNEuvjtIuAS4H3gVWCcz5Zuh7h9xgF/Vze5Nwf4ivfOHgAMAhafmFq0HlWdoqr9VLUCd93/XVWvo53ZQUQ6ikin+Dbu/7yKdnZdqOpW4GMROcMnXQy8R67skGungHx54bwJV+PmAX+Y6/M5DvV7AtgCRHCtw2/g5u5eAdb4924+rwC/97ZYCQxLKudGYK1/3ZDreh2FHT6LG8paAbzjX2Pbmy2Ac4B/eTusAn7s0wfihGct8BRQ6NM7+P21/vjApLJ+6O1TCXwx13VrhU1Gc8QLvV3Zwdd3uX+9G78Htrfrwp//ucBSf208j/Miz4kdbClVwzAMw8hDbAjdMAzDMPIQE3DDMAzDyENMwA3DMAwjDzEBNwzDMIw8xATcMAzDMPIQE3DDMAzDyENMwA3DyDkiMlFE+jaRZ4GIDDtR52QYbR0TcMM4iRGRYK7PoZlMBBoVcMMwUjEBN4w2hIg876M9vSsiN4vIbSLyy6TjE0XkPr/9NRFZLCLviMgf42ItIgdE5Kcisgi4UER+LCJLRGSViDzgl4tFRIaLyAoReVNEfiUiq3x60O8v8cdvaeR8R4vI6yLynIi8JyLTRSTgj00QkZX+e3+RVPbDPm2liNwpIuOAYcDjvi5FzbDTGH/ey0TkKR98BhGpEpG7ffpKERl8lD+FYbR5TMANo21xo6qehxO0bwPPAlcnHb8WmC0iZ/rtkeoihkWB63yejri47uer6j+A/1XV4ar6SaAIuNLnewi4VVUv9J+P8w3cms3DgeHATX797myMAL4HDAFOBa72w+G/wAX/OBcYLk97GDMAAALPSURBVCJf9tvlqvpJVR0CPKSqT+OWprxOVc9V1UONGUhEugN3AZeoi461FPhuUpYdPv1+4PuNlWUY+YwJuGG0Lb4tIsuBt3DRigYA60TkAhEpA84A3sAFUTgPWCIuZvfFuPWqwYnxM0llfl5EFonISpygnu0DlXRS1X/6PH9Jyj8GF4DhHVws9DJc8I1sLFbVdaoaxa2p/1mc8C9Q1e3q4mI/DnwOWAcMFJH7RORyoLFQrdm4ADgLeMOf4/VA/6Tj8QhybwMVR1G+YeQFoaazGIZxIhCR0bioXxeqao2ILMAFx5gNjAc+AJ5TVfXD4I+o6pQMRdV6MUVEOgB/wAVR+FhEfuLLzBSPOHEqwCRVbW50pPSACtniHaOqu0XkU8BlwO2+Xjc283uSz2++qk7Icvywf49i9zjjJMZ64IbRdigFdnvxHozraYLrUX4ZmIATc3ARj8aJSE8AEekmIv3TC8SJNcAOP088DpyQAvt9iENwoTLjzAVuExcXHRE53YeQzMYIcaF2A7hh/X/geu6jRKS7n5ufALzmh78DqvoM8CNcLGWA/UCnRq1zhLeAkSJymj+/YhE5vZmfNYyTBmudGkbb4WXgVhFZgQs5+RYkeq3vAWep6mKf9p6I3AXM88IZwfVoNyQXqKp7RGQGLpRhFS62fZxvADNE5CCwANjr02fihp6X+Z7+dlwDIhtvAlNxc+Cv40YJYiIyBRc3W4AXVfWvvvf9UNzRDYiPIDwMTBeRQ7gRiKzz4Kq6XUQmAk+ISKFPvgsX7tcw2g0WTtQw2ikiUqKqB/z2ZKCPqt7RwjJGA99X1SubymsYxrHFeuCG0X65wveSQ7ie+8Tcno5hGC3BeuCGYTSJiAwBHk1LPqyq5x+H73oO532fzH+2wKnOMNoFJuCGYRiGkYeYF7phGIZh5CEm4IZhGIaRh5iAG4ZhGEYeYgJuGIZhGHnI/wMfE8iOAHNAWQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_scatter_plot(df1, 'average_post_len', 'average_comment_len')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_scatter_plot(df1, 'comments_with_link_ratio', 'posts_to_comments_ratio')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "class_names = ['content-creator', 'scammer', 'comment-spammer', 'bid-bot']\n",
    "\n",
    "def plot_confusion_matrix(cm):\n",
    "    plt.figure(figsize = (10, 10))\n",
    "    sns.heatmap(cm,\n",
    "                annot=True,\n",
    "                cmap=\"Greens\",\n",
    "                xticklabels=class_names,\n",
    "                yticklabels=class_names,\n",
    "                fmt = '0.0f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.7210 - acc: 0.7114\n",
      "Epoch 2/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.5164 - acc: 0.8088\n",
      "Epoch 3/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.4822 - acc: 0.8137\n",
      "Epoch 4/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.4537 - acc: 0.8244\n",
      "Epoch 5/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.4396 - acc: 0.8333\n",
      "Epoch 6/100\n",
      "2249/2249 [==============================] - 4s 2ms/step - loss: 0.4324 - acc: 0.8328\n",
      "Epoch 7/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.4184 - acc: 0.8435\n",
      "Epoch 8/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3980 - acc: 0.8390\n",
      "Epoch 9/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.4070 - acc: 0.8408\n",
      "Epoch 10/100\n",
      "2249/2249 [==============================] - 3s 2ms/step - loss: 0.3934 - acc: 0.8462\n",
      "Epoch 11/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3905 - acc: 0.8497\n",
      "Epoch 12/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3767 - acc: 0.8510\n",
      "Epoch 13/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3787 - acc: 0.8559\n",
      "Epoch 14/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3658 - acc: 0.8631\n",
      "Epoch 15/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3628 - acc: 0.8595\n",
      "Epoch 16/100\n",
      "2249/2249 [==============================] - 4s 2ms/step - loss: 0.3639 - acc: 0.8519\n",
      "Epoch 17/100\n",
      "2249/2249 [==============================] - 3s 2ms/step - loss: 0.3524 - acc: 0.8604\n",
      "Epoch 18/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.3331 - acc: 0.8648\n",
      "Epoch 19/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3454 - acc: 0.8657\n",
      "Epoch 20/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3293 - acc: 0.8671\n",
      "Epoch 21/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3289 - acc: 0.8644\n",
      "Epoch 22/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3342 - acc: 0.8715\n",
      "Epoch 23/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3287 - acc: 0.8666\n",
      "Epoch 24/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3178 - acc: 0.8684\n",
      "Epoch 25/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.3291 - acc: 0.8653\n",
      "Epoch 26/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3112 - acc: 0.8719\n",
      "Epoch 27/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3202 - acc: 0.8715\n",
      "Epoch 28/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3068 - acc: 0.8795\n",
      "Epoch 29/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2985 - acc: 0.8724\n",
      "Epoch 30/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3087 - acc: 0.8742\n",
      "Epoch 31/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.3029 - acc: 0.8791\n",
      "Epoch 32/100\n",
      "2249/2249 [==============================] - 3s 2ms/step - loss: 0.3003 - acc: 0.8759\n",
      "Epoch 33/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2941 - acc: 0.8826\n",
      "Epoch 34/100\n",
      "2249/2249 [==============================] - 4s 2ms/step - loss: 0.2970 - acc: 0.8755\n",
      "Epoch 35/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2818 - acc: 0.8893\n",
      "Epoch 36/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2968 - acc: 0.8764\n",
      "Epoch 37/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2926 - acc: 0.8795\n",
      "Epoch 38/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2830 - acc: 0.8853\n",
      "Epoch 39/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2997 - acc: 0.8857\n",
      "Epoch 40/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2753 - acc: 0.8831\n",
      "Epoch 41/100\n",
      "2249/2249 [==============================] - 4s 2ms/step - loss: 0.2727 - acc: 0.8857\n",
      "Epoch 42/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2835 - acc: 0.8906\n",
      "Epoch 43/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2710 - acc: 0.8911\n",
      "Epoch 44/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2691 - acc: 0.8880\n",
      "Epoch 45/100\n",
      "2249/2249 [==============================] - 4s 2ms/step - loss: 0.2700 - acc: 0.8822\n",
      "Epoch 46/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2721 - acc: 0.8871\n",
      "Epoch 47/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2576 - acc: 0.8911\n",
      "Epoch 48/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2638 - acc: 0.8888\n",
      "Epoch 49/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2680 - acc: 0.8888\n",
      "Epoch 50/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2612 - acc: 0.8937\n",
      "Epoch 51/100\n",
      "2249/2249 [==============================] - 2s 950us/step - loss: 0.2684 - acc: 0.8862\n",
      "Epoch 52/100\n",
      "2249/2249 [==============================] - 2s 989us/step - loss: 0.2535 - acc: 0.8866\n",
      "Epoch 53/100\n",
      "2249/2249 [==============================] - 2s 952us/step - loss: 0.2636 - acc: 0.8933\n",
      "Epoch 54/100\n",
      "2249/2249 [==============================] - 2s 976us/step - loss: 0.2592 - acc: 0.8937\n",
      "Epoch 55/100\n",
      "2249/2249 [==============================] - 2s 954us/step - loss: 0.2558 - acc: 0.8924\n",
      "Epoch 56/100\n",
      "2249/2249 [==============================] - 2s 950us/step - loss: 0.2932 - acc: 0.8955\n",
      "Epoch 57/100\n",
      "2249/2249 [==============================] - 2s 953us/step - loss: 0.2505 - acc: 0.8964\n",
      "Epoch 58/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2601 - acc: 0.8920\n",
      "Epoch 59/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2311 - acc: 0.9026\n",
      "Epoch 60/100\n",
      "2249/2249 [==============================] - 2s 928us/step - loss: 0.2473 - acc: 0.8991\n",
      "Epoch 61/100\n",
      "2249/2249 [==============================] - 2s 941us/step - loss: 0.2426 - acc: 0.9004\n",
      "Epoch 62/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2570 - acc: 0.8951\n",
      "Epoch 63/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2425 - acc: 0.9000\n",
      "Epoch 64/100\n",
      "2249/2249 [==============================] - ETA: 0s - loss: 0.2393 - acc: 0.898 - 3s 1ms/step - loss: 0.2398 - acc: 0.8991\n",
      "Epoch 65/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2336 - acc: 0.8986\n",
      "Epoch 66/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2583 - acc: 0.8937\n",
      "Epoch 67/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2629 - acc: 0.8977\n",
      "Epoch 68/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2355 - acc: 0.9057\n",
      "Epoch 69/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2432 - acc: 0.9008\n",
      "Epoch 70/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2401 - acc: 0.9040\n",
      "Epoch 71/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2509 - acc: 0.8946\n",
      "Epoch 72/100\n",
      "2249/2249 [==============================] - 4s 2ms/step - loss: 0.2278 - acc: 0.9066\n",
      "Epoch 73/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2412 - acc: 0.9035\n",
      "Epoch 74/100\n",
      "2249/2249 [==============================] - 2s 990us/step - loss: 0.2476 - acc: 0.8977\n",
      "Epoch 75/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2276 - acc: 0.9071\n",
      "Epoch 76/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2266 - acc: 0.9022\n",
      "Epoch 77/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2520 - acc: 0.8986\n",
      "Epoch 78/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2057 - acc: 0.9102\n",
      "Epoch 79/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2586 - acc: 0.8986\n",
      "Epoch 80/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2242 - acc: 0.9084\n",
      "Epoch 81/100\n",
      "2249/2249 [==============================] - 4s 2ms/step - loss: 0.2275 - acc: 0.9084A: 0s - loss:\n",
      "Epoch 82/100\n",
      "2249/2249 [==============================] - 3s 2ms/step - loss: 0.2355 - acc: 0.9013\n",
      "Epoch 83/100\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2339 - acc: 0.9048\n",
      "Epoch 84/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2449 - acc: 0.9040\n",
      "Epoch 85/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2191 - acc: 0.9044\n",
      "Epoch 86/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2289 - acc: 0.9048\n",
      "Epoch 87/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2378 - acc: 0.9062\n",
      "Epoch 88/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2022 - acc: 0.9169\n",
      "Epoch 89/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2597 - acc: 0.9008\n",
      "Epoch 90/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2133 - acc: 0.9097\n",
      "Epoch 91/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2150 - acc: 0.9129\n",
      "Epoch 92/100\n",
      "2249/2249 [==============================] - 2s 1ms/step - loss: 0.2276 - acc: 0.9088\n",
      "Epoch 93/100\n",
      "2249/2249 [==============================] - 2s 979us/step - loss: 0.2081 - acc: 0.9115\n",
      "Epoch 94/100\n",
      "2249/2249 [==============================] - 2s 985us/step - loss: 0.2126 - acc: 0.9097\n",
      "Epoch 95/100\n",
      "2249/2249 [==============================] - 2s 971us/step - loss: 0.2123 - acc: 0.9075\n",
      "Epoch 96/100\n",
      "2249/2249 [==============================] - 2s 975us/step - loss: 0.2366 - acc: 0.9093\n",
      "Epoch 97/100\n",
      "2249/2249 [==============================] - 2s 946us/step - loss: 0.1918 - acc: 0.9204\n",
      "Epoch 98/100\n",
      "2249/2249 [==============================] - 2s 975us/step - loss: 0.2260 - acc: 0.9146\n",
      "Epoch 99/100\n",
      "2249/2249 [==============================] - 2s 975us/step - loss: 0.2329 - acc: 0.9097\n",
      "Epoch 100/100\n",
      "2249/2249 [==============================] - 3s 1ms/step - loss: 0.2060 - acc: 0.9097A: 0s - loss: 0.2029 - acc: 0.\n",
      "accuracy: 0.859\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X_cols = columns\n",
    "y_cols = ['class']\n",
    "X = pd.DataFrame(QuantileTransformer().fit_transform(df[X_cols]))\n",
    "y = to_categorical(df[y_cols])\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=0)\n",
    "input_dim = len(X_cols)\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Dense(85, input_dim=17, activation='relu'))\n",
    "model.add(Dense(40, activation='relu'))\n",
    "model.add(Dense(20, activation='relu'))\n",
    "model.add(Dense(4, activation='softmax'))\n",
    "\n",
    "model.compile(loss='categorical_crossentropy',\n",
    "              optimizer='nadam',\n",
    "              metrics=['accuracy'])\n",
    "\n",
    "model.fit(X_train, y_train, epochs=100, batch_size=1, verbose=1)\n",
    "score = model.evaluate(X_test, y_test,verbose=0)\n",
    "y_pred = model.predict_classes(X_test)\n",
    "\n",
    "print('accuracy: %.3f' % score[1])\n",
    "cm = confusion_matrix(np.argmax(y_test, axis=1), y_pred)\n",
    "plot_confusion_matrix(cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "accuracy: 0.951\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "X_cols = columns\n",
    "y_cols = ['class']\n",
    "X = df[X_cols]\n",
    "y = df[y_cols]\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=0)\n",
    "input_dim = len(X_cols)\n",
    "\n",
    "model = tree.DecisionTreeClassifier(max_depth=8)\n",
    "\n",
    "model.fit(X_train, y_train)\n",
    "score = model.fit(X_test, y_test)\n",
    "y_pred = model.predict(X_test)\n",
    "\n",
    "print('accuracy: %.3f' % accuracy_score(y_pred, y_test))\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "import graphviz\n",
    "from sklearn.tree import export_graphviz\n",
    "\n",
    "dot_data = tree.export_graphviz(\n",
    "    model,\n",
    "    out_file=None,\n",
    "    feature_names=X_cols,\n",
    "    class_names=class_names,\n",
    "    filled=True,\n",
    "    rounded=True,\n",
    "    special_characters=True)\n",
    "graph = graphviz.Source(dot_data)\n",
    "\n",
    "graph = graphviz.Source(dot_data)\n",
    "graph.format = 'png'\n",
    "graph.render('dtree_render', view=True)\n",
    "\n",
    "plot_confusion_matrix(cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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