PUBG_data_analysis-Heatmaps.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['sample_submission_V2.csv', 'test_V2.csv', 'train_V2.csv']\n"
     ]
    }
   ],
   "source": [
    "print(os.listdir(os.getcwd()+'\\\\pubgstats'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = pd.read_csv(os.getcwd()+'\\\\pubgstats'+'\\\\train_V2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>groupId</th>\n",
       "      <th>matchId</th>\n",
       "      <th>assists</th>\n",
       "      <th>boosts</th>\n",
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       "      <th>killPlace</th>\n",
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       "      <th>revives</th>\n",
       "      <th>rideDistance</th>\n",
       "      <th>roadKills</th>\n",
       "      <th>swimDistance</th>\n",
       "      <th>teamKills</th>\n",
       "      <th>vehicleDestroys</th>\n",
       "      <th>walkDistance</th>\n",
       "      <th>weaponsAcquired</th>\n",
       "      <th>winPoints</th>\n",
       "      <th>winPlacePerc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
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       "      <td>0</td>\n",
       "      <td>161.80</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>a930a9c79cd721</td>\n",
       "      <td>f1f1f4ef412d7e</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
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       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0.1875</td>\n",
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       "    <tr>\n",
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       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
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       "      <td>0</td>\n",
       "      <td>34.70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>95959be0e21ca3</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>1497</td>\n",
       "      <td>0.0000</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>311b84c6ff4390</td>\n",
       "      <td>eaba5fcb7fc1ae</td>\n",
       "      <td>292611730ca862</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.538</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>48</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2004.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1089.00</td>\n",
       "      <td>6</td>\n",
       "      <td>1500</td>\n",
       "      <td>0.7368</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
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       "      <td>47cfbb04e1b1a2</td>\n",
       "      <td>df014fbee741c6</td>\n",
       "      <td>0</td>\n",
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       "      <td>51.600</td>\n",
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       "      <td>0</td>\n",
       "      <td>64</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
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       "      <td>0</td>\n",
       "      <td>799.90</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>e5bb5a43587253</td>\n",
       "      <td>759bb6f7514fd2</td>\n",
       "      <td>3d3031c795305b</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.270</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>65.67</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2b574d43972813</td>\n",
       "      <td>c549efede67ad3</td>\n",
       "      <td>2dd6ddb8320fc1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.380</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>75</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>868.30</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>8de328a74658a9</td>\n",
       "      <td>f643df9df3877c</td>\n",
       "      <td>80170383d90003</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>137.900</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>451.70</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ce4f6ac165705e</td>\n",
       "      <td>da24cdb91969cc</td>\n",
       "      <td>535b5dbd965a94</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>37</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>6639.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2784.00</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>b7807186e3f679</td>\n",
       "      <td>3c08e461874749</td>\n",
       "      <td>2c30ddf481c52d</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>324.200</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1228.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>76.840</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2050.00</td>\n",
       "      <td>6</td>\n",
       "      <td>1462</td>\n",
       "      <td>0.8750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>8e244ac61b6aab</td>\n",
       "      <td>d40d0c7d3573a1</td>\n",
       "      <td>94e1c1cc443c65</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>122.800</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1237.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>60.290</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1666.00</td>\n",
       "      <td>5</td>\n",
       "      <td>1531</td>\n",
       "      <td>0.9000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>12d8d4bd94312c</td>\n",
       "      <td>fe52d481bae68b</td>\n",
       "      <td>6fd9e765ddd0c5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>80.710</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>72</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>105.10</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>62f2f0917d84b2</td>\n",
       "      <td>f61b698274d9f5</td>\n",
       "      <td>1d6cfe0f6f23b0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>81.710</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>25</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>519.9000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3674.00</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>92022479b92ce7</td>\n",
       "      <td>2f2c33f548c4b9</td>\n",
       "      <td>07948d723b9c0f</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>254.300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2367.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>15.290</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1787.00</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>7bd224781f064b</td>\n",
       "      <td>6dde607d151819</td>\n",
       "      <td>733af30cc00099</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>137.40</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>71cbdbc3b263e5</td>\n",
       "      <td>7b61f74b51906c</td>\n",
       "      <td>a329ac99449ad7</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>65.280</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>48</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>20.850</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3310.00</td>\n",
       "      <td>3</td>\n",
       "      <td>1479</td>\n",
       "      <td>0.9310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>02ace8c6e58461</td>\n",
       "      <td>a4bc548028f800</td>\n",
       "      <td>80f2b8448e474b</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>269.100</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2734.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1794.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>00341b1caa5420</td>\n",
       "      <td>d661a2d19e7ae9</td>\n",
       "      <td>f3956286eb39a5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>158.700</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>75</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>580.10</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>9b2961d4d51f91</td>\n",
       "      <td>799d0a4d61dc3c</td>\n",
       "      <td>e833ca2282169d</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>192.300</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2332.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1264.00</td>\n",
       "      <td>4</td>\n",
       "      <td>1494</td>\n",
       "      <td>0.7500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0b6fbdfb59c994</td>\n",
       "      <td>7a75c3e86934f6</td>\n",
       "      <td>8b0a78c005cea0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1011.000</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>4860.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2727.00</td>\n",
       "      <td>7</td>\n",
       "      <td>1603</td>\n",
       "      <td>0.9592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>736eda9b9c20b3</td>\n",
       "      <td>d35e80e4e64dd4</td>\n",
       "      <td>62fbe726028662</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>327.600</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3503.00</td>\n",
       "      <td>4</td>\n",
       "      <td>1496</td>\n",
       "      <td>0.9231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>4c45dc732689ec</td>\n",
       "      <td>8e0a0ea95d3596</td>\n",
       "      <td>37f43ba55ec0a4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>558.600</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1183.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2711.00</td>\n",
       "      <td>7</td>\n",
       "      <td>1494</td>\n",
       "      <td>0.8696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>91f5da9c3628eb</td>\n",
       "      <td>090fd12f3ca8a8</td>\n",
       "      <td>e8b8cf5d9231d3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44.280</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>78</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15.30</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>dbf611495bfda3</td>\n",
       "      <td>10cbb86844dee0</td>\n",
       "      <td>2cdae31ee18601</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>381.200</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1798.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1933.00</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>f9473c4f1cfdc4</td>\n",
       "      <td>8483976f3ba230</td>\n",
       "      <td>6057f846f3ed12</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>345.600</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3855.00</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>ac5b57ff39979c</td>\n",
       "      <td>857cc55b2b6001</td>\n",
       "      <td>e019e04dee4f19</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>87</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446936</th>\n",
       "      <td>ee62630c3a17e3</td>\n",
       "      <td>cc6b1b4264eb73</td>\n",
       "      <td>269a041abb69a5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>68.200</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>34.860</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2708.00</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446937</th>\n",
       "      <td>68100cdb23f1f0</td>\n",
       "      <td>9b8970931c5d00</td>\n",
       "      <td>ce5a23d8bb7883</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>127.400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1364.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446938</th>\n",
       "      <td>7718e7c0c355a3</td>\n",
       "      <td>54d5ce5a79e0f6</td>\n",
       "      <td>06def1c4d808d4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>64</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>72.210</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>173.10</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446939</th>\n",
       "      <td>36b218fd209b00</td>\n",
       "      <td>195337a8c2ae1d</td>\n",
       "      <td>fa1b1885f56b7d</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>151.500</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>56.14</td>\n",
       "      <td>1</td>\n",
       "      <td>1539</td>\n",
       "      <td>0.3830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446940</th>\n",
       "      <td>3eefd3ee81154a</td>\n",
       "      <td>19b7a730468b55</td>\n",
       "      <td>31045b7b933f3d</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2728.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1362.00</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446941</th>\n",
       "      <td>18e04b3b452a1a</td>\n",
       "      <td>8de4310ab2d2ae</td>\n",
       "      <td>054bfeb4d51fc4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>62.350</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>65.21</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446942</th>\n",
       "      <td>2c9f1610de0ecd</td>\n",
       "      <td>d64a0663e96058</td>\n",
       "      <td>5c9254fa96f53e</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>724.700</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>14</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>5076.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2162.00</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446943</th>\n",
       "      <td>0f0dd3fe907cef</td>\n",
       "      <td>5f251817449ae7</td>\n",
       "      <td>cf837481bd01f3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>82</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>57.59</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446944</th>\n",
       "      <td>914aec03b107db</td>\n",
       "      <td>a8c5116da13d88</td>\n",
       "      <td>02dd2c1a0b34de</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>175.000</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>2532.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1349.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446945</th>\n",
       "      <td>e8b6ed3ec93a76</td>\n",
       "      <td>3e5b779bd7cf12</td>\n",
       "      <td>95e5611e58f4d5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>81</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>57.19</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446946</th>\n",
       "      <td>f1aca3f5aeafd8</td>\n",
       "      <td>2c6765c0fc6d77</td>\n",
       "      <td>84d7e32c95913a</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2591.00</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0.7292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446947</th>\n",
       "      <td>cac9fe367120a1</td>\n",
       "      <td>d1398e8c0941f3</td>\n",
       "      <td>a27caa11cb4dfb</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>631.10</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.3830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446948</th>\n",
       "      <td>445aaa1ddc858e</td>\n",
       "      <td>b1efcbdb7ce674</td>\n",
       "      <td>05f6cd4077cd68</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>736.500</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1685.00</td>\n",
       "      <td>3</td>\n",
       "      <td>1500</td>\n",
       "      <td>0.7917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446949</th>\n",
       "      <td>138e004749faf9</td>\n",
       "      <td>dbe0096979e393</td>\n",
       "      <td>5256cd7403054e</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100.000</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>424.60</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446950</th>\n",
       "      <td>d05b0c4b2ff311</td>\n",
       "      <td>8248fa2552457b</td>\n",
       "      <td>88c002b589d411</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>203.500</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1559.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446951</th>\n",
       "      <td>0381eae18c429f</td>\n",
       "      <td>c0df2e78ccce86</td>\n",
       "      <td>be06c0c5f9a47e</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>85</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44.90</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446952</th>\n",
       "      <td>78b990601cafb6</td>\n",
       "      <td>aa64828a68bc21</td>\n",
       "      <td>8496e878b7ee1d</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>5.328</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1177.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446953</th>\n",
       "      <td>372304ea470cad</td>\n",
       "      <td>0db6cf38e79c9e</td>\n",
       "      <td>a530fd807f535a</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>57</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1025.00</td>\n",
       "      <td>5</td>\n",
       "      <td>1551</td>\n",
       "      <td>0.5926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446954</th>\n",
       "      <td>894c01c8e4524f</td>\n",
       "      <td>c33e793af077f9</td>\n",
       "      <td>deb3a91c03d0f3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.100</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>58</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2146.00</td>\n",
       "      <td>6</td>\n",
       "      <td>1502</td>\n",
       "      <td>0.5306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446955</th>\n",
       "      <td>b9155a229aedfd</td>\n",
       "      <td>570d9414a536f3</td>\n",
       "      <td>0c5ab888689674</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>60</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>604.8000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1158.00</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446956</th>\n",
       "      <td>dae05e0d743059</td>\n",
       "      <td>3902915a7a1943</td>\n",
       "      <td>97b64a07c05761</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>151.900</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>77</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>828.30</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446957</th>\n",
       "      <td>2a4163ccbe0e3b</td>\n",
       "      <td>2689c981578849</td>\n",
       "      <td>eebc058a45ff13</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>100.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>363.70</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446958</th>\n",
       "      <td>837349af7e8a35</td>\n",
       "      <td>58bc4104935623</td>\n",
       "      <td>2001300d4f5787</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>92</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446959</th>\n",
       "      <td>d29bfa313ad766</td>\n",
       "      <td>ac3f1b4a56e5ad</td>\n",
       "      <td>2f3b1af94739b3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>22.680</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>89</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40.25</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446960</th>\n",
       "      <td>69fa4c2d5431b1</td>\n",
       "      <td>2a3ad0e37fb6ce</td>\n",
       "      <td>818ccf2160343f</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>327.700</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>180.4000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>845.60</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446961</th>\n",
       "      <td>afff7f652dbc10</td>\n",
       "      <td>d238e426f50de7</td>\n",
       "      <td>18492834ce5635</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>74</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1292.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1019.00</td>\n",
       "      <td>3</td>\n",
       "      <td>1507</td>\n",
       "      <td>0.1786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446962</th>\n",
       "      <td>f4197cf374e6c0</td>\n",
       "      <td>408cdb5c46b2ac</td>\n",
       "      <td>ee854b837376d9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>44.150</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>81.70</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446963</th>\n",
       "      <td>e1948b1295c88a</td>\n",
       "      <td>e26ac84bdf7cef</td>\n",
       "      <td>6d0cd12784f1ab</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>59.060</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>66</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>2.184</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>788.70</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446964</th>\n",
       "      <td>cc032cdd73b7ac</td>\n",
       "      <td>c2223f35411394</td>\n",
       "      <td>c9c701d0ad758a</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>180.400</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2748.00</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0.8000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4446965</th>\n",
       "      <td>0d8e7ed728b6fd</td>\n",
       "      <td>8c74f72fedf5ff</td>\n",
       "      <td>62a16aabcc095c</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>268.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1369.0000</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1244.00</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.5464</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4446966 rows × 29 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Id         groupId         matchId  assists  boosts  \\\n",
       "0        7f96b2f878858a  4d4b580de459be  a10357fd1a4a91        0       0   \n",
       "1        eef90569b9d03c  684d5656442f9e  aeb375fc57110c        0       0   \n",
       "2        1eaf90ac73de72  6a4a42c3245a74  110163d8bb94ae        1       0   \n",
       "3        4616d365dd2853  a930a9c79cd721  f1f1f4ef412d7e        0       0   \n",
       "4        315c96c26c9aac  de04010b3458dd  6dc8ff871e21e6        0       0   \n",
       "5        ff79c12f326506  289a6836a88d27  bac52627a12114        0       0   \n",
       "6        95959be0e21ca3  2c485a1ad3d0f1  a8274e903927a2        0       0   \n",
       "7        311b84c6ff4390  eaba5fcb7fc1ae  292611730ca862        0       0   \n",
       "8        1a68204ccf9891  47cfbb04e1b1a2  df014fbee741c6        0       0   \n",
       "9        e5bb5a43587253  759bb6f7514fd2  3d3031c795305b        0       0   \n",
       "10       2b574d43972813  c549efede67ad3  2dd6ddb8320fc1        0       0   \n",
       "11       8de328a74658a9  f643df9df3877c  80170383d90003        0       0   \n",
       "12       ce4f6ac165705e  da24cdb91969cc  535b5dbd965a94        0       0   \n",
       "13       b7807186e3f679  3c08e461874749  2c30ddf481c52d        0       1   \n",
       "14       8e244ac61b6aab  d40d0c7d3573a1  94e1c1cc443c65        0       1   \n",
       "15       12d8d4bd94312c  fe52d481bae68b  6fd9e765ddd0c5        0       0   \n",
       "16       62f2f0917d84b2  f61b698274d9f5  1d6cfe0f6f23b0        0       2   \n",
       "17       92022479b92ce7  2f2c33f548c4b9  07948d723b9c0f        0       3   \n",
       "18       7bd224781f064b  6dde607d151819  733af30cc00099        0       0   \n",
       "19       71cbdbc3b263e5  7b61f74b51906c  a329ac99449ad7        0       1   \n",
       "20       02ace8c6e58461  a4bc548028f800  80f2b8448e474b        0       4   \n",
       "21       00341b1caa5420  d661a2d19e7ae9  f3956286eb39a5        0       0   \n",
       "22       9b2961d4d51f91  799d0a4d61dc3c  e833ca2282169d        0       1   \n",
       "23       0b6fbdfb59c994  7a75c3e86934f6  8b0a78c005cea0        0       6   \n",
       "24       736eda9b9c20b3  d35e80e4e64dd4  62fbe726028662        0       3   \n",
       "25       4c45dc732689ec  8e0a0ea95d3596  37f43ba55ec0a4        1       4   \n",
       "26       91f5da9c3628eb  090fd12f3ca8a8  e8b8cf5d9231d3        0       0   \n",
       "27       dbf611495bfda3  10cbb86844dee0  2cdae31ee18601        0       4   \n",
       "28       f9473c4f1cfdc4  8483976f3ba230  6057f846f3ed12        0       6   \n",
       "29       ac5b57ff39979c  857cc55b2b6001  e019e04dee4f19        0       0   \n",
       "...                 ...             ...             ...      ...     ...   \n",
       "4446936  ee62630c3a17e3  cc6b1b4264eb73  269a041abb69a5        0       1   \n",
       "4446937  68100cdb23f1f0  9b8970931c5d00  ce5a23d8bb7883        1       2   \n",
       "4446938  7718e7c0c355a3  54d5ce5a79e0f6  06def1c4d808d4        0       0   \n",
       "4446939  36b218fd209b00  195337a8c2ae1d  fa1b1885f56b7d        0       0   \n",
       "4446940  3eefd3ee81154a  19b7a730468b55  31045b7b933f3d        0       1   \n",
       "4446941  18e04b3b452a1a  8de4310ab2d2ae  054bfeb4d51fc4        0       0   \n",
       "4446942  2c9f1610de0ecd  d64a0663e96058  5c9254fa96f53e        0       4   \n",
       "4446943  0f0dd3fe907cef  5f251817449ae7  cf837481bd01f3        0       0   \n",
       "4446944  914aec03b107db  a8c5116da13d88  02dd2c1a0b34de        0       0   \n",
       "4446945  e8b6ed3ec93a76  3e5b779bd7cf12  95e5611e58f4d5        0       0   \n",
       "4446946  f1aca3f5aeafd8  2c6765c0fc6d77  84d7e32c95913a        0       0   \n",
       "4446947  cac9fe367120a1  d1398e8c0941f3  a27caa11cb4dfb        0       0   \n",
       "4446948  445aaa1ddc858e  b1efcbdb7ce674  05f6cd4077cd68        1       3   \n",
       "4446949  138e004749faf9  dbe0096979e393  5256cd7403054e        0       0   \n",
       "4446950  d05b0c4b2ff311  8248fa2552457b  88c002b589d411        0       0   \n",
       "4446951  0381eae18c429f  c0df2e78ccce86  be06c0c5f9a47e        0       0   \n",
       "4446952  78b990601cafb6  aa64828a68bc21  8496e878b7ee1d        0       0   \n",
       "4446953  372304ea470cad  0db6cf38e79c9e  a530fd807f535a        0       0   \n",
       "4446954  894c01c8e4524f  c33e793af077f9  deb3a91c03d0f3        0       0   \n",
       "4446955  b9155a229aedfd  570d9414a536f3  0c5ab888689674        0       0   \n",
       "4446956  dae05e0d743059  3902915a7a1943  97b64a07c05761        1       0   \n",
       "4446957  2a4163ccbe0e3b  2689c981578849  eebc058a45ff13        0       1   \n",
       "4446958  837349af7e8a35  58bc4104935623  2001300d4f5787        0       0   \n",
       "4446959  d29bfa313ad766  ac3f1b4a56e5ad  2f3b1af94739b3        0       0   \n",
       "4446960  69fa4c2d5431b1  2a3ad0e37fb6ce  818ccf2160343f        0       0   \n",
       "4446961  afff7f652dbc10  d238e426f50de7  18492834ce5635        0       0   \n",
       "4446962  f4197cf374e6c0  408cdb5c46b2ac  ee854b837376d9        0       1   \n",
       "4446963  e1948b1295c88a  e26ac84bdf7cef  6d0cd12784f1ab        0       0   \n",
       "4446964  cc032cdd73b7ac  c2223f35411394  c9c701d0ad758a        0       4   \n",
       "4446965  0d8e7ed728b6fd  8c74f72fedf5ff  62a16aabcc095c        0       2   \n",
       "\n",
       "         damageDealt  DBNOs  headshotKills  heals  killPlace      ...       \\\n",
       "0              0.000      0              0      0         60      ...        \n",
       "1             91.470      0              0      0         57      ...        \n",
       "2             68.000      0              0      0         47      ...        \n",
       "3             32.900      0              0      0         75      ...        \n",
       "4            100.000      0              0      0         45      ...        \n",
       "5            100.000      1              1      0         44      ...        \n",
       "6              0.000      0              0      0         96      ...        \n",
       "7              8.538      0              0      0         48      ...        \n",
       "8             51.600      0              0      0         64      ...        \n",
       "9             37.270      0              0      0         74      ...        \n",
       "10            28.380      0              0      0         75      ...        \n",
       "11           137.900      1              0      0         64      ...        \n",
       "12             0.000      0              0      0         37      ...        \n",
       "13           324.200      0              1      5          5      ...        \n",
       "14           122.800      1              0      2         25      ...        \n",
       "15            80.710      1              0      0         72      ...        \n",
       "16            81.710      1              0     14         25      ...        \n",
       "17           254.300      0              0     12         13      ...        \n",
       "18             0.000      0              0      0         79      ...        \n",
       "19            65.280      0              0      1         48      ...        \n",
       "20           269.100      0              1      8         18      ...        \n",
       "21           158.700      1              0      0         75      ...        \n",
       "22           192.300      1              2      3         15      ...        \n",
       "23          1011.000      6              2      2          2      ...        \n",
       "24           327.600      4              1      1          3      ...        \n",
       "25           558.600      3              0      4         11      ...        \n",
       "26            44.280      0              0      0         78      ...        \n",
       "27           381.200      2              1      2          7      ...        \n",
       "28           345.600      2              1      1          6      ...        \n",
       "29             0.000      0              0      0         87      ...        \n",
       "...              ...    ...            ...    ...        ...      ...        \n",
       "4446936       68.200      0              1      1         22      ...        \n",
       "4446937      127.400      1              1      4         31      ...        \n",
       "4446938        0.000      0              0      0         64      ...        \n",
       "4446939      151.500      1              0      0         35      ...        \n",
       "4446940        0.000      0              0      1         58      ...        \n",
       "4446941       62.350      0              0      0         79      ...        \n",
       "4446942      724.700      6              4     14          1      ...        \n",
       "4446943        0.000      0              0      0         82      ...        \n",
       "4446944      175.000      0              1      0         29      ...        \n",
       "4446945        0.000      0              0      0         81      ...        \n",
       "4446946        0.000      0              0      0         53      ...        \n",
       "4446947        0.000      0              0      0         61      ...        \n",
       "4446948      736.500      4              1      2          7      ...        \n",
       "4446949      100.000      1              0      0         32      ...        \n",
       "4446950      203.500      0              0      0         32      ...        \n",
       "4446951        0.000      0              0      0         85      ...        \n",
       "4446952        0.000      0              0      0         44      ...        \n",
       "4446953       30.100      0              0      0         57      ...        \n",
       "4446954       30.100      0              0      0         58      ...        \n",
       "4446955        0.000      0              0      0         60      ...        \n",
       "4446956      151.900      0              0      1         77      ...        \n",
       "4446957      100.000      0              0      0         32      ...        \n",
       "4446958        0.000      0              0      0         92      ...        \n",
       "4446959       22.680      0              0      0         89      ...        \n",
       "4446960      327.700      3              2      0          4      ...        \n",
       "4446961        0.000      0              0      0         74      ...        \n",
       "4446962       44.150      0              0      0         69      ...        \n",
       "4446963       59.060      0              0      0         66      ...        \n",
       "4446964      180.400      1              1      2         11      ...        \n",
       "4446965      268.000      0              0      1         18      ...        \n",
       "\n",
       "         revives  rideDistance  roadKills  swimDistance  teamKills  \\\n",
       "0              0        0.0000          0         0.000          0   \n",
       "1              0        0.0045          0        11.040          0   \n",
       "2              0        0.0000          0         0.000          0   \n",
       "3              0        0.0000          0         0.000          0   \n",
       "4              0        0.0000          0         0.000          0   \n",
       "5              0        0.0000          0         0.000          0   \n",
       "6              0        0.0000          0         0.000          0   \n",
       "7              0     2004.0000          0         0.000          0   \n",
       "8              0        0.0000          0         0.000          0   \n",
       "9              0        0.0000          0         0.000          0   \n",
       "10             0        0.0000          0         0.000          0   \n",
       "11             0        0.0000          0         0.000          0   \n",
       "12             0     6639.0000          0         0.000          0   \n",
       "13             0     1228.0000          0        76.840          0   \n",
       "14             1     1237.0000          0        60.290          0   \n",
       "15             1        0.0000          0         0.000          0   \n",
       "16             0      519.9000          0         0.000          0   \n",
       "17             0     2367.0000          0        15.290          0   \n",
       "18             0        0.0000          0         0.000          0   \n",
       "19             0        0.0000          0        20.850          0   \n",
       "20             1     2734.0000          0         0.000          0   \n",
       "21             0        0.0000          0         0.000          0   \n",
       "22             0     2332.0000          0         0.000          0   \n",
       "23             0     4860.0000          0         0.000          0   \n",
       "24             0        0.0000          0         0.000          0   \n",
       "25             0     1183.0000          0         0.000          0   \n",
       "26             0        0.0000          0         0.000          0   \n",
       "27             0     1798.0000          0         0.000          0   \n",
       "28             0        0.0000          0         0.000          0   \n",
       "29             0        0.0000          0         0.000          0   \n",
       "...          ...           ...        ...           ...        ...   \n",
       "4446936        0        0.0000          0        34.860          0   \n",
       "4446937        0        0.0000          0         0.000          0   \n",
       "4446938        0        0.0000          0        72.210          0   \n",
       "4446939        0        0.0000          0         0.000          0   \n",
       "4446940        0     2728.0000          0         0.000          0   \n",
       "4446941        0        0.0000          0         0.000          0   \n",
       "4446942        3     5076.0000          0         0.000          0   \n",
       "4446943        0        0.0000          0         0.000          0   \n",
       "4446944        0     2532.0000          0         0.000          0   \n",
       "4446945        0        0.0000          0         0.000          0   \n",
       "4446946        0        0.0000          0         0.000          0   \n",
       "4446947        0        0.0000          0         0.000          0   \n",
       "4446948        0        0.0000          0         0.000          0   \n",
       "4446949        0        0.0000          0         0.000          0   \n",
       "4446950        0        0.0000          0         0.000          0   \n",
       "4446951        0        0.0000          0         0.000          0   \n",
       "4446952        0        0.0000          0         5.328          0   \n",
       "4446953        1        0.0000          0         0.000          0   \n",
       "4446954        0        0.0000          0         0.000          0   \n",
       "4446955        0      604.8000          0         0.000          0   \n",
       "4446956        1        0.0000          0         0.000          0   \n",
       "4446957        1        0.0000          0         0.000          0   \n",
       "4446958        0        0.0000          0         0.000          0   \n",
       "4446959        0        0.0000          0         0.000          0   \n",
       "4446960        0      180.4000          0         0.000          0   \n",
       "4446961        0     1292.0000          0         0.000          0   \n",
       "4446962        0        0.0000          0         0.000          0   \n",
       "4446963        0        0.0000          0         2.184          0   \n",
       "4446964        2        0.0000          0         0.000          0   \n",
       "4446965        0     1369.0000          0         0.000          0   \n",
       "\n",
       "        vehicleDestroys  walkDistance  weaponsAcquired  winPoints  \\\n",
       "0                     0        244.80                1       1466   \n",
       "1                     0       1434.00                5          0   \n",
       "2                     0        161.80                2          0   \n",
       "3                     0        202.70                3          0   \n",
       "4                     0         49.75                2          0   \n",
       "5                     0         34.70                1          0   \n",
       "6                     0         13.50                1       1497   \n",
       "7                     0       1089.00                6       1500   \n",
       "8                     0        799.90                4          0   \n",
       "9                     0         65.67                1          0   \n",
       "10                    0        868.30                9          0   \n",
       "11                    0        451.70                1          0   \n",
       "12                    0       2784.00                6          0   \n",
       "13                    0       2050.00                6       1462   \n",
       "14                    0       1666.00                5       1531   \n",
       "15                    0        105.10                5          0   \n",
       "16                    0       3674.00                7          0   \n",
       "17                    0       1787.00                3          0   \n",
       "18                    0        137.40                2          0   \n",
       "19                    0       3310.00                3       1479   \n",
       "20                    0       1794.00                5          0   \n",
       "21                    0        580.10                2          0   \n",
       "22                    0       1264.00                4       1494   \n",
       "23                    0       2727.00                7       1603   \n",
       "24                    0       3503.00                4       1496   \n",
       "25                    0       2711.00                7       1494   \n",
       "26                    0         15.30                0          0   \n",
       "27                    0       1933.00                4          0   \n",
       "28                    0       3855.00                4          0   \n",
       "29                    0          0.00                0          0   \n",
       "...                 ...           ...              ...        ...   \n",
       "4446936               0       2708.00                7          0   \n",
       "4446937               0       1364.00                5          0   \n",
       "4446938               0        173.10                1          0   \n",
       "4446939               0         56.14                1       1539   \n",
       "4446940               0       1362.00                6          0   \n",
       "4446941               0         65.21                2          0   \n",
       "4446942               0       2162.00                8          0   \n",
       "4446943               0         57.59                2          0   \n",
       "4446944               0       1349.00                5          0   \n",
       "4446945               0         57.19                1          0   \n",
       "4446946               0       2591.00                7          0   \n",
       "4446947               0        631.10                4          0   \n",
       "4446948               0       1685.00                3       1500   \n",
       "4446949               0        424.60                3          0   \n",
       "4446950               0       1559.00                5          0   \n",
       "4446951               0         44.90                1          0   \n",
       "4446952               0       1177.00                5          0   \n",
       "4446953               0       1025.00                5       1551   \n",
       "4446954               0       2146.00                6       1502   \n",
       "4446955               0       1158.00                3          0   \n",
       "4446956               0        828.30                7          0   \n",
       "4446957               0        363.70                2          0   \n",
       "4446958               0          0.00                0          0   \n",
       "4446959               0         40.25                1          0   \n",
       "4446960               0        845.60                3          0   \n",
       "4446961               0       1019.00                3       1507   \n",
       "4446962               0         81.70                6          0   \n",
       "4446963               0        788.70                4          0   \n",
       "4446964               0       2748.00                8          0   \n",
       "4446965               0       1244.00                5          0   \n",
       "\n",
       "         winPlacePerc  \n",
       "0              0.4444  \n",
       "1              0.6400  \n",
       "2              0.7755  \n",
       "3              0.1667  \n",
       "4              0.1875  \n",
       "5              0.0370  \n",
       "6              0.0000  \n",
       "7              0.7368  \n",
       "8              0.3704  \n",
       "9              0.2143  \n",
       "10             0.3929  \n",
       "11             0.4043  \n",
       "12             0.9286  \n",
       "13             0.8750  \n",
       "14             0.9000  \n",
       "15             0.2766  \n",
       "16             0.7308  \n",
       "17             0.8211  \n",
       "18             0.1923  \n",
       "19             0.9310  \n",
       "20             0.6383  \n",
       "21             0.2143  \n",
       "22             0.7500  \n",
       "23             0.9592  \n",
       "24             0.9231  \n",
       "25             0.8696  \n",
       "26             0.1154  \n",
       "27             0.7234  \n",
       "28             0.9630  \n",
       "29             0.0000  \n",
       "...               ...  \n",
       "4446936        0.7308  \n",
       "4446937        0.7111  \n",
       "4446938        0.0385  \n",
       "4446939        0.3830  \n",
       "4446940        0.6250  \n",
       "4446941        0.1600  \n",
       "4446942        1.0000  \n",
       "4446943        0.1111  \n",
       "4446944        0.6875  \n",
       "4446945        0.1875  \n",
       "4446946        0.7292  \n",
       "4446947        0.3830  \n",
       "4446948        0.7917  \n",
       "4446949        0.1458  \n",
       "4446950        0.5000  \n",
       "4446951        0.1000  \n",
       "4446952        0.8462  \n",
       "4446953        0.5926  \n",
       "4446954        0.5306  \n",
       "4446955        0.4792  \n",
       "4446956        0.1071  \n",
       "4446957        0.4583  \n",
       "4446958        0.0000  \n",
       "4446959        0.0842  \n",
       "4446960        0.2414  \n",
       "4446961        0.1786  \n",
       "4446962        0.2935  \n",
       "4446963        0.4815  \n",
       "4446964        0.8000  \n",
       "4446965        0.5464  \n",
       "\n",
       "[4446966 rows x 29 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Id',\n",
       " 'groupId',\n",
       " 'matchId',\n",
       " 'assists',\n",
       " 'boosts',\n",
       " 'damageDealt',\n",
       " 'DBNOs',\n",
       " 'headshotKills',\n",
       " 'heals',\n",
       " 'killPlace',\n",
       " 'killPoints',\n",
       " 'kills',\n",
       " 'killStreaks',\n",
       " 'longestKill',\n",
       " 'matchDuration',\n",
       " 'matchType',\n",
       " 'maxPlace',\n",
       " 'numGroups',\n",
       " 'rankPoints',\n",
       " 'revives',\n",
       " 'rideDistance',\n",
       " 'roadKills',\n",
       " 'swimDistance',\n",
       " 'teamKills',\n",
       " 'vehicleDestroys',\n",
       " 'walkDistance',\n",
       " 'weaponsAcquired',\n",
       " 'winPoints',\n",
       " 'winPlacePerc']"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(train)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# DBNO means downed but not out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2cd43a489b0>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x864 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "f1 = (\n",
    "    train.loc[:, [\"winPlacePerc\",\"killPoints\", \"killPlace\", \"kills\", \"DBNOs\",  \"headshotKills\", \"assists\", \"longestKill\",\"heals\", \"revives\" , \"teamKills\" ]]\n",
    ").corr()\n",
    "plt.figure(figsize=(14, 12))\n",
    "sns.heatmap(f1, annot = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4.446966e+06\n",
       "mean     2.386841e-02\n",
       "std      1.673935e-01\n",
       "min      0.000000e+00\n",
       "25%      0.000000e+00\n",
       "50%      0.000000e+00\n",
       "75%      0.000000e+00\n",
       "max      1.200000e+01\n",
       "Name: teamKills, dtype: float64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[\"teamKills\"].describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    4.446966e+06\n",
       "mean     9.247833e-01\n",
       "std      1.558445e+00\n",
       "min      0.000000e+00\n",
       "25%      0.000000e+00\n",
       "50%      0.000000e+00\n",
       "75%      1.000000e+00\n",
       "max      7.200000e+01\n",
       "Name: kills, dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[\"kills\"].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x2cd42532ba8>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XN06lynDpha5cer4LzjVq4VS1ug0KLfKCvTvZuzB2YgsBt4CtGDvbTcneyT6ltd6babuymdZNV0rtBfoBr+bwOn5Kqe1KqQOAP1DF9JreWutQAK31TdP86iDTzx5gN1AJY6cbIL/pdXYCZ4EfgBZAbSDGtK4FUN4UbwDuXDn0LBCvtY4xvV6y1jota0GVUv2UUjuVUju//2Xe3f5u/wnxcYl4emd8UHt4uZGYkGQRkxCXiKeXMcbR0ZFChQty5fJV07YZo96eXu4kxmeMljQPaMKh/Ye5eOES9pIYn4SnV0YZ3b3cSEq4mC3Gw9s4Au/o6EihQgW5ejnZIubksdOk3LjJ05XKm5c1adGIPw8c4W875gem8ntlnEFw93LjQsKF7DGmunJ0dKSgKcdqtaowdNxAwmNC6dWvO68N6kPPV7rYtPx34144PwlX/zE/T0y+YZ4Ockfo7pMEVS0NQI3SJbiVZuDKI9BZu5u/Ey5S3DNjdO0pz+JcTnzw4+dykjE26Vwih7YdpFzV8vfZwjb+ib/EE17FzM8LeBbjRuLdT7dnnk5SvGZF6ozpQZdts6jctyXV32rHcy8FWr3MOcn8PgHjWbykLO+lhPgkc7t3p724ctlyrrWxvUjh6UoVALiQaGxzLl28TOTK9VSrVdmaaWSTFH8BN6+MkWs3zxJcyNIOJsVfwN0U4+joSMHCBUnO1A4GtPe3mCqS2e1bt9kUsYWmLR9weoYVpF+8gEOJjHbQoXgJ0v+2zFFfS4ZU4/Sym6uW4/T0MwDka9SU1MN/ws0UuJnC7Z3bcX7O8iLrf610g+1+7MSunWytdSpwGngZ2IKxY+0HVMB4YWFmmT+dDFhetDncNFc6UGt9MPNGSilX4Cugi9a6GvAd4EqO44jGTYAppv35aK0raq3vnK9OybT8La31bVP8z5mWP6u1nmCKv6m1NmTa732HhbTWs7XWdbTWdfq+2PN+4Y+1/XsOUbZ8aUqW9sbZ2YmQjsFErrI85Re5ej2de7QDoFW7QLZu2mFcvmoDIR2DcXFxpmRpb8qWL82+3RmHRkinVixbssp2yeTg4J6/KF2+FN6lPXF2dqJ1h0CiwjdaxESFb6J9tzYABIX4s33zTgC8S3vi6Gic0+tZ0oOyFUoTm+mOHK07Btl9qghY5ujk7ESrDoFEhVt+fzbm2BqAoBA/c4592venZd2OtKzbkd9mL+C7T39m3o95dh3z/0sV76c4e+kasZevk5pmIPzAGZpV8raI8SxSgO0njafuT164yu20dJ58Ip89ivtAju87hmc5L9xKuePk7ETjkKbErNn+QNs+UfgJnFyMTXKhJwtRqc5zFhdM2tPFvScpXM6DgqVK4ODsSPn2DTgXsdsipnC5jM5rqQAfkk8Zp6Ct6vQ+ixoMYVGDIfz5fTj7P1/GXz+tsWn57ziw50/KlC+Fd2kvY3vRMSiH99JG2nc3thctQ/zZZm4vvMzthVdJD8pVLEPsuTjyF3ClwBMFAMhfwJXGzetz7K8TNswK/tp7hFLlSuJZygMnZycC2/uzKWKLRcymiC207hoMgF/bZuzcnFF/SilatG3OmkwXNeYvkJ+n3IxfrBwdHWnUoj5njp+1QTY5SztyGEfvkji4e4CTE/ma+3N7W7RFjCqW8UXQpUFj80WRhguJOFevAQ6O4OiIc7Ua2S6YFI+uR+HuIhuBYcArGKd6zAR2aa11jqe+cs/V9PuiUqog0AVYpLVOVkqdV0p10Fr/oZTKBzgC4cD7Sqk5WuvrSilvIFVrnXSX/a8FliqlZmmtk5RSxYBCWuus74LDgJdSqq7WOsY0kp6S02i2LQ0fP5WYPfu5ciWZFh168carvekc0tKeRTIzGAyMf3cKvyz8GgdHBxbO/YNjR04wZOQbHNh7iMjVG1jwWyizvv6QqJgwrl5J5q2+IwA4duQEK5ZGELElFIPBwHsjJptv3+Sa35UmzRswZuj7Fq8X1MafCVNHUuypJ/lx3hf8efAIfboOsGp+H46awez5n+Hg6EDovDBOHDnFwBH9OLTvL6LCN7F47jKmfjGBVdsWcfVKMsNeN951o1Y9H/q+9SJpaWmkp6fz/shp5rsDuObPRyPfekwcNsVqZX9QBoOByaNm8O38T3F0dCB03nJOHDnFmyNe49C+w6wP38SSuWFM+WI8K7ct5OqVZIa/bpu7u/x/ODk6MLJNHQb8EkV6uqZ9rfJUdCvKV2v3U9m7GM0rlWRocC0mLd3OnC2HQcHEjg3Mp/NbzVzKP7dSSTWkE3X4PF+/6G9xZxJ7SDek8/173zL2lwk4ODqw7vdIzh87R/ehz3Ni/3F2Ru6gQvWKjJg9mieKFKROQF26D3meIYEDKfl0KfpNfgOdrlEOitCvFz8ynWxtSGfb2J8JmjsC5eDAsQUbuHI0lprDOnNx3ynOrdnNcy8F4dm0CulpBm5f/YdNg615/fzDMRgMfDByOt8vMLYXS+aGcfzISd56tx8H9xrbi0VzlvHRlxNZvX0xVy8n887rYwCoXb8Gr73Vh9S0NHR6OpPeNbYXJct48flP0wFwcnRk+ZJwNkdts3leM8Z8yqdzp+Pg6MDy+as4dfQ0rw1/mcP7jrApYgth81Yy/rPRLIyeQ/KVZMYNmGTevmaDGiTFXyDubMYgQ/4Crkz/aTIuLs44ODqwK3oPob8ss2leFtINXP/yE4pMngEODtyMWInhzGkKvPgKaUcPc3vbFvK374xLw8ZgMJB+7RrXP54KwO1NG3CuUYui3/4PtCZ15w5ub99ynxcUjwqVmzl3VimAUi2A1UBRrfU/SqmjwDda65lKqdOY5mpjvB1fVdM2w4CCWusJd7tVX+blSqkPgB4YR83PAWdM2z6N8W4kxYFUoKvW+qRSahDQ17Sr60AvrfUJpdR1rXXBHHLoDozCeGYgFeNtBLdljVdK1QU+xzgvPAUI0Fpfv9vfJvXiyUd3AudDeubZjvYuglUUcHK9f9C/TE5zdB8HMZ+1sncR8lzvEbvsXQSraJNW2N5FsIppqUftXYQ8V8SpgL2LYBXLqz12H8MAFA/fYPcG/tZfUTb74+Z7zs8u+dp9JFtrvRZwzvT8mUyPy5oeXgSqZlo+I9Pjl+6y35cyPR4LjM0h5hjGOdpZl38KfJrD8mwdbNPyBRgvarxnvGk+doOc9iGEEEIIIR4fdu9kCyGEEEKI/xj5ZzRCCCGEEEKI3JKRbCGEEEIIYVt2/CcxtiIj2UIIIYQQQuQxGckWQgghhBC2JXOyhRBCCCGEELklI9lCCCGEEMKmMv4h9uNLRrKFEEIIIYTIYzKSLYQQQgghbEvuLiKEEEIIIYTILRnJFkIIIYQQtiV3FxFCCCGEEELkloxkCyGEEEII25I52UIIIYQQQojckk62EEIIIYQQeUymiwghhBBCCNtKl39GI4QQQgghhMglGckWQgghhBC2JRc+CiGEEEIIIXJLRrKFEEIIIYRtyT+jEUIIIYQQQuSW0lrbuwziLso9VeOxq5yjR0LtXQSr8CwfbO8i5DmllL2LYBX5HV3sXQTxgFIMt+1dBKvI5+hs7yLkuce1L/G4toPnLx20e2I3t86z2UHj2rCnXfKVkWwhhBBCCCHymMzJFkIIIYQQtiVzsoUQQgghhBC5JSPZQgghhBDCtmQkWwghhBBCCJFbMpIthBBCCCFsSmuDvYtgdTKSLYQQQgghRB6TkWwhhBBCCGFbMidbCCGEEEIIkVvSyRZCCCGEECKPyXQRIYQQQghhW1qmiwghhBBCCCFySUayhRBCCCGEbcmFj0IIIYQQQojckpFsIYQQQghhWzInWwghhBBCCJFbMpIthBBCCCFsS+ZkCyGEEEIIIXJLRrKFEEIIIYRtyZxsIYQQQgghRG7JSLYQQgghhLAtmZMthBBCCCGEyC0ZyRZCCCGEELYlI9ni38LXvxFrty8lKiaM/oNeybbexcWZz7+fRlRMGKERv+Fdysu8bsDgV4iKCWPt9qX4+jUCoHzFMqxYv8D8s/90NC+//gIArdsFEh69hBMX9lDNp7JtEsyFsZNn4tumBx169bd3UR7I5Glj2bF3DRu2LKN6jZz/njV8qrBxaxg79q5h8rSx5uUT3h/B1p2r2bBlGT/P+ZLCRQoB4OzszGdfTWHj1jDWRy+jcZN6Nskls8kfjWHHngjWR989r+o+VdiwZRk79kQw+aMx5uXj3x/BlphVrI9exk+/fWHOq3PXEKI2/WH+Sbz8F1WrVbJJPndMnDKSjTtXEL5pMVWrP5djTLUalYnYvISNO1cwccpI8/IiRQszZ8lsNsQsZ86S2RQpUhiADl3aEL5pMeGbFrNk9a88V+WZxyqP8hXLsmrDQvPPoTNbebV/L6vnaI1j0MnJiS++nsqGLcuI3rGSQUP7WT2PSVNGsXnnStZsWnLPuorcvITNO1cyacoo8/KiRQszd8l3bIpZwdwl35nr6o4aNaty5sI+2rQLNC8bM2Eoa7f8QdS2ZRb7sqZJU0exedcq1my+T47RoWzetYpJUzPK1bZ9EOu2LOXc3weo7lPFvPzJJ4uwcNn/OHouhg+mjclpl3nOGnUV1MqPNZuWEL5hESvWLqBu/ZrmbexRV+LB/Sc62UqplUqpoveJ+UkpdUoptVcptVsp1fA+8ZOUUgH3iWmulGr0MGXODQcHByZNG81L3d4gqFFH2nUKpuKz5S1iuvXqyNUryfjVDeGHr39j5PjBAFR8tjwhHYNp2bgTfbq+waTpo3FwcODk8TO0ad6dNs27E+Lfk5s3bhKxYh0ARw4fZ0CfIezYssvaqT2UDq0D+WbmB/YuxgMJCGpG+QplqecTyNBB45g+a2KOcdNnTWTooHHU8wmkfIWytAj0BWB9VDRN6rehWaN2nDh+isFDXweg90vdAPBtGEKX9i8x6cORKKVskxQQEOhrzKtmEO8MGse0mRNyjJs+cwLvDHqPejWDjHkFGPPaEBVN0wZtad64HSdOnGaQKa/FC8Pwa9oBv6YdeOP1EZw9G8vBA4dtlRZ+AU0pW6EMvnXaMHLIRD78eGyOcR/OGMvIIRPxrdOGshXK0DygCQBvDn6V6A3baVa3LdEbtvPG4FcBOHf2PN3avkzLpp35bMa3TP1k/GOVx8njp2nVrCutmnWljV93Um7cZPXytVbN0VrHYLsOwbjkc6FZo3YENOvEiy91p1Rpb6vl4R/QlHIVStOkTmveHTKBKR+PyzFuyoxxjBgykSZ1WlOuQmn8zHXVl+gN22hatw3RG7bxpqmuwPjZMXr8EDasizYvq13Phzr1axLYpBMtGnWgRq0qNGxc12r5AfgHNqVchTI0qd2KdwdPYMrH7+Wc48fv8e7gCTSp3YpyFcqYczz813Fee3EQ27bstIi/ees20yZ/zvvvTbdq+e+wVl1t3riNwKadaNmsC8PeGsf0T42fE/aoqzyl0233Yyf/iU621rq11vrKA4QO11r7ACOBb++zz/e01pH32V9zwOqd7Bq1qnLm1DnOnYklNTWNsNDVBLZqbhET2MqPxfOXAbBq2Roa+dYzLW9OWOhqbt9O5fzZWM6cOkeNWlUttm3sW58zp88Rez4egBNHT3Hy+Blrp/XQ6vhUo0jhQvYuxgNp1boFv88LBWBXzD6KFCmEu3sJixh39xIUKlSQnTv2AvD7vFBatzF+v1u/LhqDwQDAzph9eHl7APBspYps2rAVgIsXL3H16jV8alWzSU4AwW1asGDeHwDs2rmPIkUK3z2vGGNeC+b9Qau2LQDLvHbF7MXLyyPba3Tq0obQRcutmUY2Qa0z3kd7du6ncOFCuLkXt4hxcy9OwUIF2R2zD4DF85fRsrU/YHwfLpq/FIBF85cS1NoPgF079nH1arJxvzH78fR0f2zzaNysPmcztSfWYq1jUGtNgQL5cXR0xNXVldTUVK5du261PIJa+7HIVFe771lXT5jralGmugpq5cdCU10tnL/UvBzg5X7PszJsDRcvXDIv01qTL58LLi7OuORzwcnJmQsX/rZafgAtW/tb5FikSM45Fir0BLsy5RjcxlhXx4+e5MTx09n2m3IjhZhtu7l187ZVy3+Hterqxj8p5u3zP5EfbXpsj7oSufNYdLKVUiOUUm+bHs+oLj8/AAAgAElEQVRSSq0zPW6hlPpNKXVaKVVcKVVWKfWXUuo7pdQhpVSEUip/DrvcCFQ07cNHKbVNKbVfKRWqlHrStPwnpVQX0+PTSqmJphHwA0qpSkqpskB/YIhpdLypUqqrUuqgUmqfUmpjXuXv4elGfGyC+XlCXBIeWT7c3D3diI8zxhgMBq4lX+fJYkXx8HQnPjbRHBcfl4iHp5vFtm07BRO2ZHVeFVdk4unlTuz5jLqLi03E08s9W0xc7L1jAF7o3Zm1a4yH1aEDhwlu3QJHR0dKlylJDZ8qeHtn76hai6dnljLHJeCRpcweXu7ExWXExMcl5Ngpe75XRl6Zte/UmiWLVuRhqe8v+3st+/vFw9ONhLjEHGOKuz1FUuJFAJISL1K8xFPZXqN7745Erd1sjeJblNFeebTr1Iqli1flSR73Yq1jMGxpODdupHDw6Gb2HIriy89/5Mrlq1bKAjyy5GFso92zxcTHZW3HjTFZ6+qpEsVM27jRqk0Lfv3f7xb72h2zjy2bY9j1VxS7/4piw7pojh89aZXcMsrv9hA5JmQ7Zu3NWnUFxi+N67ct45f5X/HOW8YRcnvUlcidx6KTjbFT3NT0uA5QUCnlDDQBNmWJfRr4UmtdBbgCdM5hfyHAAdPjX4B3tdbVTcvudh73ota6FvA1MExrfRr4BpiltfbRWm8C3gNaaq1rAO1y2olSqp9SaqdSaue1mw/2jTSnaQBa6weKyWkGgSZjW2dnJwKCm7FyacQDlUXkzv+n7jIbMqw/aWkGFi4wjqLM+XUR8XEJRG5YwodTR7Njxx4MaYY8LPm95XVei35fZrG8Vu3qpNxI4fBfx/KgtLmQY5kfJCZrUM4aNqlL916dmDJh1sOU7sHZKQ9nZycCg5uzwgbtibWOwVq1q2MwpFPt2abUqd6CNwa+QpmyJfOw5JbyKo+sJkx+l8kTZ5Ge5eKzsuVK8fQz5albtQV1qvjT2Lce9RvWfoiSP7iHz9FqRXoo1qorgNUr1tK8QTte7fU2w0cNBOxTV3kqPd12P3byuNxdZBdQWylVCLgF7MbY2W4KvA1kvhrglNZ6b6btymZaN10pNRa4ALyqlCoCFNVabzCt/xlYeJcyLMm0z053iYkGflJK/Z4p3oLWejYwG6DcUzUeqAmJj0vEM9MopYeXG4kJSRYxCXGJeHp5kBCXhKOjI4UKF+TK5aumbTO+aXt6uZMYf8H8vHlAEw7tP2xxOlH8/7zy2gv07mOcM7139wG8S2bUnZe3OwnxlnUXF5tgngaSU0z35zsSFOxHp5A+5mUGg4Gxo6aYn69cM58TJ07ndSoWXun7vDmvPXsOWJbZy4PELHnFxyZYTAPx9PIgIdNx271nBwJbNqdzu5eyvVbHzm0IXWybUewXX+1BzxeN38X37zmY5b3mnuN7LfOIqTHG+J66mPQ3bu7FSUq8iJt7cS5mOrVbqfIzTPt0Ii92G2CVkdFHIY/mAU05uP8vi/i8ZItjsHPXtqyL3ERaWhoXL15ix7bd+NSsxpnT5/Msjz6v9uD5F7sAsG/PQYs8PHOoq/i4BIuzW5ljstbV36a2vLpPFb783jhXuVixJ/EPbEpamoFyFcqwe+c+8xSFqMjN1KpTne1b8/YanD59e/KCKce9ux8mR49sMfZgi7rKbPvWXZQpV4onixUluG2ATepKPLzHYiRba50KnAZeBrZgHL32AyoAf2UJv5XpsQHLLxrDTaPOgVrrg7ksxp39Zt1n5nL2B8YCpYC9Sqns51gfwv49hyhbvjQlS3vj7OxESMdgIldtsIiJXL2ezj2Mg+et2gWyddMO4/JVGwjpGIyLizMlS3tTtnxp9u3OSD2kUyuWLbH+qd3/kh+/m4Nfk/b4NWnPyhWRdOvZEYDadWuQnHydxMQLFvGJiRe4fv0fatetAUC3nh1ZtdJ40Zh/QFPeHvwavbr3JyXlpnmb/PldKVDAOBOqmV8jDGkGjh45Yd28vp9rvihx1fJIuvfsYMyrTg2Sk6/dPa86xry69+zA6hWmvFo05a3Br9G7xwCLvMA4EtSuQ7DNOtm//DDffNFe+Ip15vdRzTrVuZZ83Xx6946kxIv8c/0fatapDkDnHu2IWBkFwJrV6+nSoz0AXXq0Z80q43Ivbw9m/zKLwQNGceqEda53eBTyaN/ZulNFbHEMnj8fT1Pf+gAUKJCf2nVrcCyPT9H//MN8WjbrQstmXVi9Yh1dTHVV6x51df36DWqZ6qpLlrrqaqqrrj3aE2Gqq0Y1g2no05KGPi1ZsSyCMcM/IHzlOmLPx9OgUR0cHR1xcnKiQaM6eZ4fwM/fzyPItzNBvp0JX7nWIsfkB8wxfOW6PC9XbtmirsqWK2Xevmr153BxdubypSs2qyur+Q9c+Pi4jGSDccrIMOAVjNM6ZgK7tNb6Ye+qoLW+qpS6rJRqapru0RvYcL/tMrkGmO+XpJSqoLXeDmxXSoVg7Gz/v4d0DAYD49+dwi8Lv8bB0YGFc//g2JETDBn5Bgf2HiJy9QYW/BbKrK8/JComjKtXknmr7wgAjh05wYqlEURsCcVgMPDeiMnm04eu+V1p0rwBY4a+b/F6QW38mTB1JMWeepIf533BnweP0KfrgP9vGnlm+PipxOzZz5UrybTo0Is3Xu1N55CW9i5WjtaErycgqBkx+yJJuZHC229knHSJ2rwUvybGBnf4kPF8/vVUXPO7snbNRiIjjIfh1Bnvkc/FhUVLfwKMF2gNGzKe4iWeYmHoD6Sna+LjEhnQb7ht84rYQEBQM3bsXWPM683RGXlt+gO/psbOz/ChE/j8qym45ndl3ZqNRJrmvU6dMQ4XFxcW/fE/AHbu3MfwIcaZWg0b1yUuLiFPRw4f1Lo1m/AL9GXTrpWkpNxk2MCMu3Ks2rCQVs26AjBm2Pt8/OUHuLq6EhW5mahI46y1rz75ga9/nEH3Xh2JOx9P/5ffAWDQiP48WawoH0w37s+QZqBtix6PVR6u+V1p2rwho4ZMslpemVnrGPzxuzl89tUUNm1bjlKKeXOW8OehI1bLY92ajfgHNmXzrlXcTElh6MCMO1aEb1hEy2bGUdTRw95npqmu1kduYp2prr745Hu++fFjevTqROz5ePq/PPSer7diaQSNm9YjMjoUrTXr124mMjw3H3u5tzZiI/6BvkTvXkVKyk2GvplxPEZsXEyQr/EMzKh3JjHrqw9xdc1HVORm1q0x5hjcpgUffDSaYsWL8cuCrzh04AgvdDHeWnHbvggKFiqIi7Mzwa396dm5H8esNOBgrbpqHRJI5x7tSEtN4+bNmwx4dRhgn7oSuaMedI7do04p1QJYjXF6xz9KqaPAN1rrmUqp05jmagPLtdZVTdsMAwpqrScopX4yrVuUZb8+GOdWFwBOAi9rrS9njr+zf631RaVUHWCG1rq5UuoZYBGQDrwFDME4J1wBa4HB+h4V8KDTRf5Njh4JtXcRrMKzfLC9i5DnbHnLP1vK7+hi7yKIB5RisM1dIWwtn6OzvYuQ5x6XvkRWj2s7eP7SQbsnlhI61WYHTf6OI+2S72Mzkq21Xgs4Z3r+TKbHZU0PLwJVMy2fkenxS3fZ716gQQ7LX8r0uGymxzsx3roPrfVRoHqmzbJehCmEEEIIIR5Dj00nWwghhBBC/EvYca60rTwWFz4KIYQQQgjxKJGRbCGEEEIIYVt2vH+1rchIthBCCCGEEHlMRrKFEEIIIYRtyUi2EEIIIYQQIrdkJFsIIYQQQtjWY3pv9cxkJFsIIYQQQog8JiPZQgghhBDCtmROthBCCCGEECK3pJMthBBCCCH+05RSwUqpI0qp40qpkTmsL62UilJK7VFK7VdKtb7fPmW6iBBCCCGEsK1HaLqIUsoR+BIIBM4DMUqpZVrrPzOFjQV+11p/rZSqDKwEyt5rvzKSLYQQQggh/svqAce11ie11reB+UD7LDEaKGx6XASIu99OZSRbCCGEEELYlrbdSLZSqh/QL9Oi2Vrr2ZmeewPnMj0/D9TPspsJQIRS6i3gCSDgfq8rnWwhhBBCCPHYMnWoZ98jROW0WZbnPYGftNYfK6UaAr8qpapqffdvC9LJFkIIIYQQtvUIzcnGOHJdKtPzkmSfDvIqEAygtd6qlHIFigNJd9upzMkWQgghhBD/ZTHA00qpckopF6AHsCxLzFmgBYBS6jnAFbhwr53KSLYQQgghhLCtR+jfqmut05RSA4FwwBH4UWt9SCk1CdiptV4GvAN8p5QagnEqyUta3zsJ6WQLIYQQQoj/NK31Soy35cu87L1Mj/8EGudmn9LJFkIIIYQQtvVozcm2CpmTLYQQQgghRB6TkexHWAEnV3sXIc95lg+2dxGsIv7kansXQTyg/F5N7V2EPFeqUHF7F8EqbqWl2rsIVlHIuYC9i5DnbqTdtHcRrOJW6uN5DD4SZCRbCCGEEEIIkVsyki2EEEIIIWzLhv/x0V5kJFsIIYQQQog8JiPZQgghhBDCpnT6o3OfbGuRkWwhhBBCCCHymIxkCyGEEEII25K7iwghhBBCCCFySzrZQgghhBBC5DGZLiKEEEIIIWxLbuEnhBBCCCGEyC0ZyRZCCCGEELYlt/ATQgghhBBC5JaMZAshhBBCCNuSW/gJIYQQQgghcktGsoUQQgghhG3JSLYQQgghhBAit2QkWwghhBBC2JaWu4sIIYQQQgghcklGsoUQQgghhG3JnGwhhBBCCCFEbslIthBCCCGEsC35j49CCCGEEEKI3JJO9mOoiV8Dlkf/zqpti+j71ovZ1ju7ODNj9ges2raIeat+wKuUJwDValZm8dpfWbz2V5as+40WrZoBULZCafPyxWt/ZfvxdfTu18OmOd0xedpYduxdw4Yty6heo3KOMTV8qrBxaxg79q5h8rSx5uUT3h/B1p2r2bBlGT/P+ZLCRQoB4OzszGdfTWHj1jDWRy+jcZN6Nsklt8ZOnolvmx506NXf3kXJU/+2vGbNnMThPzeze9caavpUzTGmVs1q7NkdyeE/NzNr5iTz8ho1qhC9KYydMRFs27qSunV8LLarU7sGt1LO0qlTG6vm4OvfiLXblxIVE0b/Qa9kW+/i4szn308jKiaM0Ijf8C7lZV43YPArRMWEsXb7Unz9GgFQvmIZVqxfYP7Zfzqal19/AYDnqj7LkvBfWbF+AUvXzqVGrZz/ZtYwbfp77N2/ji3bV1LDp0qOMT4+Vdm6YxV7969j2vT3sq1/a1Bfkv85SbGnngSgcOFCLFj4HdHbVrA9ZjUv9O5i1Rwy8/VvROS2UNbtWEr/t1/Ott7FxZnPvp/Kuh1LWRL+C96mtr3ok0WY88dsDpyOZsLUd83xrvld+WHeZ6zZuoTVmxcxYtzbNsslqw8+Gs3W3atZF/0H1e7StlevUZmo6KVs3b2aDz4abV4e0r4lG7aGEXfpkEU9Ozs788mXHxIVvZS1m0Np1KSu1fPIbOr0cezat5bN25ZTvUbOx18NnypEb1/Brn1rmTp9nHn56HGD2bxtORu3LGPx0p/w8HADoEjRwvw67ys2b1tO5PrFPFf5aZvkYhU63XY/diKd7LtQSr2klLqglNqrlPpTKfVapuVf2Lt8d+Pg4MCYqcPp//xg2jXtQeuOQVR4ppxFTOfn25F85RqtGnThl2/nM3TcmwAcO3yCbkEv0blFb/r1GMT4GSNxdHTk9ImzdG7Rm84tetM1sA83U24SuXK9zXMLCGpG+QplqecTyNBB45g+a2KOcdNnTWTooHHU8wmkfIWytAj0BWB9VDRN6rehWaN2nDh+isFDXweg90vdAPBtGEKX9i8x6cORKKVsk1QudGgdyDczP7B3MfLcvymvVsH+PF2xHJUqN2HAgHf58ospOcZ9+cUUBgx4l0qVm/B0xXIEt/QDYOrkMbz/wUzq1A1i4sQZTJ0yxryNg4MDUyaPISJivVVzcHBwYNK00bzU7Q2CGnWkXadgKj5b3iKmW6+OXL2SjF/dEH74+jdGjh8MQMVnyxPSMZiWjTvRp+sbTJo+GgcHB04eP0Ob5t1p07w7If49uXnjJhEr1gEwasIQPp32DW2ad2fWlK/M+7K2oJbNqVCxLD7V/Rk0cDSzPnk/x7hZn77PoIGj8anuT4WKZQkMamZe5+3tib9/E86ejTUve61fbw4fPk7jBm1o3ep5Jk8ejbOzs9XzcXBwYOJHI3m5+0BaNu5MSKdgKj6Tpd5e6EDylWv412vPj9/M4d3xgwC4desWs6Z8xZQJs7Lt97svfyGwYSdC/HpQu14NmrVobPVcsmoR6Ev58mVoWCuYYYPG89HH2b/sAHw0czzDBo+nYa1gypcvg39AUwAO/3WMV3q/xbYtOy3ie/XpCoBf4/Z07/Aq4z9412Zte2BQMypUKEvtGi0Y/NZYPv4k58+rjz+ZxOC3xlK7RgsqVChLgOnz6vNPvqdJg7b4NmpH+Op1jBg1EIB3hg3gwP6/aNKgLQP6DWfKtHE57lc8GqSTfW8LtNY+QHNgslLK3c7lua9qtSpz7tR5zp+JIzU1jZV/rMEv2Ncixj/Yl6W/rwAgImwdDUzf7m+m3MJgMACQz9Ulx1tYNmhal3OnzxN/PsG6ieSgVesW/D4vFIBdMfsoUqQQ7u4lLGLc3UtQqFBBdu7YC8Dv80Jp3SYAgPXros357YzZh5e3BwDPVqrIpg1bAbh48RJXr17Dp1Y1m+SUG3V8qlGkcCF7FyPP/ZvyCglpya9zFgGwfcduihQtYh5husPDw41ChQuxbfsuAH6ds4h27YIB0FpTyJRr4SKFiItPNG838M1XWBK6gqQLf1s1hxq1qnLm1DnOnYklNTWNsNDVBLZqbhET2MqPxfOXAbBq2Roa+dYzLW9OWOhqbt9O5fzZWM6cOpdtZLqxb33OnD5H7Pl4wJhzwUIFAShUuCCJCResmt8drdsEMG+usb2IidlLkSKFcffI0l54GNuLHTv2ADBvbiht2gaa10/5aCzjxk5FZ2oMNZpCBZ8AoOATBbh8+QppaWnWTidbvS0PDc9WbwGtmrN4fhgAq5ZF0qipsd5Sbtxk5/a93Lp5yyL+ZspNtm02dkxTU9M4uP8wHl6Wx7MttGztz+/zlwKwe+c+ChcpjFuWtt3NvQQFCxVkV4ypbZ+/lOA2LQA4dvQkJ46fzrbfZ56twKYN2wBj2558NRmfmrY5k9K6bQDzTZ9XO+8cfzl9XhUuSIzp+Js/L5Q2Icbj79q16+a4JwoUMB+Dz1aqyMb1WwBj3qVLl6SE21NWz0c8nMeik62UKquUOqyU+l4pdVApNUcpFaCUilZKHVNK1TP9bFFK7TH9fta07VCl1I+mx9VM2xfIvH+tdRJwAiiT5XVDlFLbTfuMvNMJV0oVVEr9Tyl1QCm1XynV2bQ8SCm1VSm1Wym1UClVMK//Fu4ebsTHZXxwJ8YlZftgcfMsQUJsEgAGg4Fr165TtFgRAKrVqsLSDfP4Y/1cJg2fau6U3tGqYyArQyPyutgPxNPLndhMnfu42EQ8vdyzxcTF3jsG4IXenVm7ZiMAhw4cJrh1CxwdHSldpiQ1fKrgbeqAC5GZt5cH58/FmZ/Hno/H28sjW8ydDmbWmKHDxvPRlLGcOhHDtKnjGDPWOBLu5eVBh/bBfDv7V6vn4OHpRnym90hCXBIenpbvEXdPN+LjjDEGg4Frydd5slhRPDzdiY/NaF/i4xLx8LTslLXtFEzYktXm55PGTGPUxCFE7w9n9KR3mP7+Z9ZIKxsvLw/OZ66HuAS8PC3rysvTg9i4jL9FbGwCXqa6atW6BfHxCRw8cNhim9nf/MIzz1bg6IltbN2xineHv2/RCbcWD0/Ltj0+LhF3zyydtkx1m7neHkShwgVp0dKXLRt35F2hH5Cnp2W7HR+XgGeW48ozh/w9Pe897nXo4GGCW/ub2nZvqvtUwaukbdp2T093i3YgLi7hAT6vEixyGjt+KAcPb6Jr93ZM/uBTAA4eOEzbdi0BqFW7OqVKe5mP2X+ddG27Hzt5LDrZJhWBT4HqQCXgeaAJMAwYDRwGfLXWNYH3gMmm7T4BKiqlOgL/A17XWt/IvGOlVHmgPHA8y2tuBhqY9jkfGGFaPg64qrWuprWuDqxTShUHxgIBWutawE5gaNYklFL9lFI7lVI7L6ck5f6vkMOZMI3OEpI96M6HxIHdh2jfrCfdW77Ma4P64JLPxRzj7OyEX1BTwsPW5b5ceSCn03xZP9weJGbIsP6kpRlYuMA4Ujfn10XExyUQuWEJH04dzY4dezCkGbLtR4iHPgZN78HX+73IO8MnUK5CXd4ZPpHvvv0YgJkfT2TU6Mmk2+C+sf+f91FOZ9ozty/Ozk4EBDdj5dKML+K9Xu7GB2On07h6Sz4YM52pn014+MLnwv8nz/z5XRk+4k0+fP+TbOtbBPhy4MBfPFOhAU0atmX6zAkUKpTn4yXZ5fS3z9J3eJCcc+Lo6Mins6fy83fzOHcm9r7xee3/+766m3m/LSEuLpHw9QuZNGUUO7fvJc1GbfvDH38Zjz+YOJOqlZqycMEyXnu9NwCfzPyWokULs3HLMvr1f5H9+/6Uz6tH2ON0C79TWusDAEqpQ8BarbVWSh0AygJFgJ+VUk8DGnAG0FqnK6VeAvYD32qtozPts7tSqglwC2Pn+1KWN0VJYIFSyhNwAU6ZlgcA5isDtdaXlVJtgcpAtGkfLsDWrElorWcDswGquNfP9devxPgki2/L7l5uJCVczBbj4e1GYnwSjo6OFCpUkKuXky1iTh47TcqNmzxdqTyH9hlHcpq0aMSfB47w94VLuS3WQ3vltRfo3cc4Z3rv7gN4ZxqF8PJ2JyHe8otIXGyCeRpITjHdn+9IULAfnUL6mJcZDAbGjsqYW7tyzXxOnDid16mIf6kB/fvw6qvGi/h27txLyUwXAXqX9LSY8gFwPjYe75KeljGmEbgXe3dlyFDjfNNFi8KY/c10AGrXqs6c374CoHjxYrQK9ictLY1ly8LzPJ/4uEQ8M71HPLzcSEywfB8lxCXi6eVBQpypjShckCuXr5q2zWhfPL3cSYzPmP7RPKAJh/Yf5mKmNqJTjxAmjvoIgBVLI5jy6fg8z+mO1/r1ps/L3QHYvWs/JTPXg5cH8QmWdRUbZ3kmwtvbg/j4RMqVL0OZsiWJ3rbCvHxTdBh+zTrQq3cXZn78DQAnT57hzJlzPPNMeXbt2m+1vMB4xiFz2+7p5U5Slqk3Caa6TYi3rLf7mTxzLKdPnuV/387N83Lfzct9n+eFPsaLRvfuPmjRbnt6eZCQJbe4uMRs+Wdt/7MyGAyMHz3V/DwsfC6nTpzJi+LnqG+/XrxousZn964DFu2Al5fHA3xeeZCQ5RgFWPT7MhYs/p6pH37KtWvXGThgpHndvkPrOXPmfF6nYhNa/hnNv0rmyWbpmZ6nY/wy8T4QpbWuCoQArpninwauA15YWqC19tFa19dah+bwmp8DX2itqwGvZ9qngmxfsRWwxrQ/H611Za31q7lL8f4O7vmL0uVL4V3aE2dnJ1p3CCQqfKNFTFT4Jtp3M969ICjEn+2mOXnepT1xdHQEwLOkB2UrlCb2XMbprtYdg2w+VeTH7+bg16Q9fk3as3JFJN16dgSgdt0aJCdfJzHRsiFOTLzA9ev/ULtuDQC69ezIqpVrAfAPaMrbg1+jV/f+pKTcNG+TP78rBQrkB6CZXyMMaQaOHjlhi/TEv8DX3/xMnbpB1KkbxLJl4fR+wdgxqF+vFslXk0nI2kFNSOLatevUr1cLgN4vdCEszNhZjotPpJlvQwD8/Zpw7Ljxe/nTzzak4jMNqPhMAxYvWcHAt0dbpYMNsH/PIcqWL03J0t44OzsR0jGYyFUbLGIiV6+nc492ALRqF8jWTcYpBJGrNhDSMRgXF2dKlvambPnS7Nt90LxdSKdWLFuyymJfSQkXqN+4DgCNfOtx+sRZq+QF8N3sX2nSsC1NGrZlRdgaej5vbC/q1vUhOflatvngiQnG9qJuXeNdXno+35GVKyL589ARKpStR7XKvlSr7EtsbAJNG4eQlHiRc+fiaN7ceFeVEm7Fefrp8pw6fc5qOd2RUW9eODs70bZjSyJXr7eIWbt6A517hADQql0AWzfF3He/Q0e9QaHChXh/zHRrFPuu/vf9XAKadiKgaSdWr1hLtx7tAahVpwbXkq+RlKVtT0q8wD/X/6FWHVPb3qM94SvvfVY1c9vu27wRaQbrtu3fz/4N30bt8G3UjpXL19DD9HlV587xl9Pn1bV/qGM6/nr07MjK5ZEAlK+QMTs1uE0Ljh49CRiv5bhzoe2LL3VnS3SMxfxt8Wh5nEay76cIcOc82Et3FiqlimCcZuILfKGU6qK1XvQQ++yTaXkEMBAYbHqNJ4FtwJdKqYpa6+Omed8ltdZHHzKfHBkMBj4cNYPZ8z/DwdGB0HlhnDhyioEj+nFo319EhW9i8dxlTP1iAqu2LeLqlWSGvW68zV2tej70fetF0tLSSE9P5/2R07hyyTgK4po/H4186zFxWM53U7CFNeHrCQhqRsy+SFJupPD2G6PM66I2L8WvibGRHj5kPJ9/PRXX/K6sXbORyAhjB2LqjPfI5+LCoqU/AbArZi/DhoyneImnWBj6A+npmvi4RAb0G27z3B7E8PFTidmznytXkmnRoRdvvNqbziEt7V2s/7d/U14rV60lONifI39FcyMlhb59M2Z87YyJoE7dIAAGDhzFDz/MIr+rK6vDo1i12tgZ6N9/ODNnTsLJyYlbN28yYMCIHF/HmgwGA+PfncIvC7/GwdGBhXP/4NiREwwZ+QYH9h4icvUGFvwWyqyvPyQqJoyrV5J5q6+xnMeOnGDF0ggitoRiMBh4b0TGFBfX/K40ad6AMUMt7+IxavAk3ps8AicnR/6PvfsOj6L6Gjj+vSn8KKFDGr1Z6CVBakiAFAIJXUCqAgKKiiCKgMj/onUAACAASURBVFJEmogdBcurCAJSQ02BQAg99Ca9p9JDCUiS+/6xy5JNAYLZDej5PM8+2Z05M3tudmf27pk7s3fv/s3IoeMz5GQJISHr8fH1ZN+B9dxOusMbAx78rzdtXUmThm0AePedj/h+1lTy5c1LWGgEoSEbHrreqZO/4YdZn7F1xxqUgjEfTeHK5auWbApgeN3GjpjCbwtnYGNjw8I/gjh+9BRDRgziwN7DrAuOYMHcZUyfMYHwHUFcv5bI2/0fVDw37l6FQ8EC2Nvb4+3vRe9Ob3Dzxk0GD+vPiWOnWBE+D4DZPy/gzzmZ1ZQsZ21oBC28Pdi2J4Sk23cY8uaDy/OtjVxCy6YdAPhg6Di+mjGJvPn+R3hYpOm8mlZtWvLplFEUL1GMOX/+wMEDR+jWsT8lShZj3uKfSE1NJS42gbcGfJDp81tCaMgGvH092b0/nKSkJN4c+OC5N25Zjkcjw5fYYUM+ZsbMqeTNm5e1YRGEGT+vxowfTpUqFUlNTeX8uRiGvmO4isjzz1fm+1mfkZKawtEjJ3grzefgM+c/8GM0yhonbFiaUqo8sNJYpUYp9avx8aL784D+wG/ARSAc6Km1Lm886XGv1vprpVQZYD3QCPAH3LTWg9M9V5/705VSbYEvMHS0twHuWmtP4wmN3wH1gBRgnNZ6iVKqOTAF+J9xdaO11suzateTDBd52sUnWf7DKDfEngp+dJB4KuRzbZrbKeS4MgVL5HYKFnH5zo3cTsEiSuQrnNsp5LjbyXceHfQMupt8L7dTsIirN0/k+nVqb33ay2p9nAKjZudKe/8Vnex/K+lkPzukk/3skE72s0M62c8O6WQ/W56KTvaEHtbrZI+ekyvt/TeNyRZCCCGEEOKp8F8aky2EEEIIIZ4G/4Ex2VLJFkIIIYQQIodJJVsIIYQQQliXXCdbCCGEEEIIkV1SyRZCCCGEENYlY7KFEEIIIYQQ2SWVbCGEEEIIYV1axmQLIYQQQgghskk62UIIIYQQQuQwGS4ihBBCCCGsS058FEIIIYQQQmSXVLKFEEIIIYRVafkxGiGEEEIIIUR2SSVbCCGEEEJYl4zJFkIIIYQQQmSXVLKFEEIIIYR1SSVbCCGEEEIIkV1SyRZCCCGEENYlP6suhBBCCCGEyC6pZAshhBBCCOv6D4zJlk72U0yhcjuFHKfUv69NQgjLSNX//g9hIcS/l3SyhRBCCCGEVen/QCVbxmQLIYQQQgiRw6SSLYQQQgghrEsq2UIIIYQQQojskk62EEIIIYQQOUyGiwghhBBCCOtKlR+jEUIIIYQQQmSTVLKFEEIIIYR1yYmPQgghhBBCiOySSrYQQgghhLAuqWQLIYQQQgghsksq2UIIIYQQwqq0lkq2EEIIIYQQIpukki2EEEIIIaxLxmQLIYQQQgghsksq2UIIIYQQwrqkki2EEEIIIYTILqlkCyGEEEIIq9JSyRZCCCGEEEJkl1SyhRBCCCGEdUklWwghhBBCCJFd0skWQgghhBAih0kn+1+usVcDVmxewOptC+n7Vs8M8+3z2DNt1gRWb1vIH2t+xrWMi9l851JO7DgVTp9Br1gr5YeaOGUUO/aEsmHzcmrWqpppTM3a1YjYspwde0KZOGWUafqYT95nS9QaNmxezq9zvqVQ4YIAdOwcwPrIZaZb/NW/qF7jBau0JztGT5yOR+uutOsxMLdTyVHPWru+mD6eI4c3sXtXGHVqV880pm6dGuzZvZYjhzfxxfTxpum1alVjc+QKdkaFsm3ratzdagMQEODD7l1hpumNG7lbtA0ezRuxbnsQ66NWMPCd1zLMz5PHnm9+msr6qBUsDZ1DqTKupnmDhrzG+qgVrNsehIdXIwAqVi7Hqg0LTLf9Zzbz6oDuALxY7TkWB89mTeQifpr7NQ4FC1i0bVn5bNoY9h1Yz7bta6hVu1qmMbXrVGf7jjXsO7Cez6aNMU0fOeodjp3YypZtq9iybRU+vp5WyjprHs0bsXbbUsJ3BDHw7VczzM+Tx56vf5pM+I4gloTMppRx316kaGHmLpvFgTObGTv5A2unnaUJU0aydXcw4ZuXUSOrfXutqqzfHMTW3cFMmDLSND2grS8RW1cQc+WQ2Wtrb2/Pl999yvrNQazbtJRGTSy7XT3K5M8+Yte+dWzatpKatTJ/D9aqXY3N21exa986Jn/2UYb5g9/uy9WbJyhWvKil07W8VCvecsl/tpOtlBqqlDqilDqglNqnlJqulLLP7bxyko2NDaMnv8egV94lsGk3/Nv7UPG58mYxHV4JJPFaIv4NOvP7zHkM/ehNs/kfjB9C5LqtVsw6ay29PahYqTz16/gw7J2PmDp9bKZxn00fy7B3PqZ+HR8qVipPi5YeAESs30zTBm3wbBzIyZNneGfoAAAWL1yBV9N2eDVtxxsD3ufcuWgOHjhirWY9tnb+3vwwfUJup5HjnqV2tfJrTpXKFXihahMGDfqA776dlGncd99OYtCgD3ihahOqVK6An68XAJMnjuKTCdNxc/dh3LhpTJ5k+BIYHr6JuvW8cXP3of/rw5g5c5rF2mBjY8P4qSPp8/Ib+DRqT2AHPyo/X9Es5uUe7bl+LREv9wB+/n4OI8YMAaDy8xUJaO+Hb+MO9O78BuM/G4mNjQ2nTpyltWcXWnt2IaB5N+7cvkPoqnAAJn01hqnjv6JV006ErArn9cF9LNa2rPj4elKpcnlq1fDircEf8uVXmb/fvvxqAm8NHkmtGl5Uqlweb59mpnnffvMLjRq0plGD1oSGbLBS5pmzsbFh3JQRvNplML6NOxLQwY/Kz6V7Dbu3I/HaDZrXb8svP8zlgzHvAHD37l2+mDSDSWO/yI3UM9XC24OKFcvRsK4f770zhimff5xp3JTpY3hvyBga1vWjYsVyNG/ZFIAjfx3ntZ5vsW3LTrP4Hr07A+DVuC1d2vVlzIQPUEpZtjFZ8PZpRqVK5alXqwVD3hrN51+OyzTu8y/HM+St0dSr1YJKlcrT0tvDNK9UKRc8mzfh/Lloa6Ut/qH/ZCdbKTUQ8AEaaK1rAO5AApAvk1hbK6eXY2rUrcq50xe4cDaG5HvJrFkWRnM/D7OY5n5NCfpzNQChK9bzUhO3B/NaeXDhbDQnj562at5Z8WvdggXzlgGwa+c+ChcuhJNTSbMYJ6eSFCzowM6ovQAsmLeMVm1aALAhfDMpKSmG5aP24urqnOE5OnRqzdJFKy3ZjCfmVrsGhQsVzO00ctyz1K6AAF9+n7sIgO07dlO4SGGcnR3NYpydHSlYqCDbtu8C4Pe5iwgM9ANAa01BY1sLFS5ITGw8ALdu3TYtXyB/frS23AlBtepW5+zp85w/G829e8msWBqMdytPsxjvVl4snr8cgDXLw2jkUd843ZMVS4P5++97XDgXzdnT56lV17ya39jjJc6eOU/0hVgAKlYuz/Ythv/Fpg1b8QtoYbG2ZaVNG2/mzV0CQFTUXsO+wzndvsO5JIUKOrBjxx4A5s1dQkCAj9VzfRzpX8OVS0MyvIYtW3myeP4KANYsX0ujpobXMOn2HXZu38vdO3etnXaWfP2b8+f8IAB279xHocKFcEy3b3d0KolDQQd2Gfftf84Pwq+14b10/NgpTp44k2G9zz1ficiIbQBcunSFxOuJ1K6T+dEnS/Nv05L585YCsPP+ezCzz69CDkQZ34Pz5y2ldYC3af6nU0YxdvQUi+4frEmnaqvdcstT3clWSpVXSv2llPpRKXVIKRWqlMqnlNqglHIzxpRQSp0x3u+jlFqmlFqhlDqtlBpsrFjvUUptU0oVM656FDBIa30NQGv9t9Z6stY60biem0qp8Uqp7UBDpVQL4zoOKKV+UUr9zxh3RilVwnjfTSm1wXh/rFLqd6VUuFLquFKqv3G6i1Jqo1Jqr1LqoFKqqSX/f47OJYmLSTA9jo9JwDHdB4ujS0niog0f9CkpKdy8cZMixQqTL39eXhvckxnTfrZkitni4uJETHSc6XFMTBzOrk5mMc6uTsTEPIiJjYnDxcU8BuCVHh1ZF7Yxw/S2HfxZsmhVDmYt/k1KuTpz4XyM6XH0hVhKpfuyVsrV2dTBTB8z9L0xTJk0mtMno5g6+SNGjX5QCW/b1o+DByJYHvQb/fsPs1gbnF0ciU2zHcXFJOCcbhtxcnEk1rgdpaSkcCPxJkWLFcHZxYlY4/4CIDYmHmcX8y8ZbTr4sWJJsOnxsb9OmDqA/m19cCmV8cutpbm4OnEhzWsSEx2b4Uu2q6sz0dFpXrfoOFzS7F8GDOzFtu1rmPHDFIoUKWT5pB/C2cWR2Bjz18HJJV2HLc3rnPY1fBql37cb9tuO6WIytjmzfXtahw4ewc+/Oba2tpQtV4qatavhWtr67z8wtDHtfiEmxvz9BYb3qdlnXPSDz69W/i2IjYnj4MGn7yiryNpT3ck2qgJ8p7WuBlwDOj4ivjrwClAf+BS4rbWuA2wFeimlCgIOWuuHlWcLAAe11i8BO4FfgS7GqrcdMOgx8q4JtAYaAh8rpVyNeYVorWsDtYC9j7GeJ5bZYbH03+cUmcRozZvD+/P7zPkk3U6yUHbZl2l70n2jf5yYd98bSHJyCov+XG42vW69miTdTuLIX8dzIFvxb/TE70Hjljfg9V4MGz6WCpXcGTZ8HD/O/NwUExQUTPUazejYqS/jxg7P4cwfkd9jbkeZHWnXafYq9vZ2tPRrxuqgUNO0998eQ8++XVm+bh4FHPJz7+97/yD7J/PkbTb8/enHudSo1oyGDfyJj7vIxMmjMsRaVWavQ7qd++O0+WnxT7errMybs4SYmHhCNixk/KQP2bl9L8nJKf8s2Sf0T96D+fLlZejwQUya8KXF8ssVqdp6t1zyLFwn+7TW+n5ndBdQ/hHx67XWN4AbSqnrwArj9AMYOr6KNH1NpZQvMAUoAryitd4CpACLjSHPG3M4Znz8G/Am8Kh3e5DWOglIUkqtx9DpjwJ+MY79XpamXSZKqdeB1wFcClagWD7H9CGPLT42AWfXB8s7uTpyMe5ixphSTsTHXsTW1haHgg5cv5pIjbrV8G7TnKEfDaZgYQd0aip37/7NvF8WPXE+T+K1fq/Qs/fLAOzZcwDXNFUwV1dn4mMTzOJjo+PMKlQurs7ExT2I6dKtHd6+nnQM7JPhudp3bM3SxVLFFuYGDexN376Gk/h27txL6TQnAZYq7WIa8nHfhehYSpV2MY8xVuB69ezMu0MN400XLVrBrB8+y/B8kZu2U7FiOYoXL8rly1dzvD2xMfFm1WRnV0fi48y3o7iYeMO2E5OAra0tBQs5cO3qdeOyD6pvLq6Gfcd9ni2bcGj/ES5dvGKadur4GXp1MpzUWqFSOZr7mA9Zs5TXB/Skz6tdAdi1az+l07wmrqVciE33ukVHx1KqVJrXrZQzccaYhIRLpun/98s8Fi3O3SN8cTEJZlVQF1cnEtLt2+OMr3NcrPlr+LR4td8rdO/dCYC9uw+a7dsN+23z9sTExGdoc1y6/X96KSkpjBk52fR4RcgfnD55NifSfyz9Xu9Brz6Gz6/duw6Y7RdcXZ0z5B8THWf+GVfKmbi4eCpULEu58mWI3LrSND1iUxAtmnUwe2+Kp8+zUMlOO3AsBcMXg2Qe5J73IfGpaR6nAnbGISG3lFIVALTW9yvLB4E8xtg7Wuv7X3cfdpbEw/JI/9VJa603Ah5ANPC7UqpX+hVqrWdprd201m7/pIMNcHDPX5StWIZSZV2ws7ejVTtv1odEmsWsD4mk7cv+APgEeLF9k+HEkd5tB+Lr3h5f9/bMmbWAH7/6zeodbIBffvrDdFLimpVr6dKtHQD13GqRmHiD+Ph0XxriL3Lz5i3qudUCDJ3q4FXrAGjeoilvDelPz66DSEq6Y7acUorAdn7SyRYZfP/Db7i5++Dm7sPy5SH07G7oGLxUvy6J1xPNvsQBxMUlcOPGTV6qXxeAnt07sWJFCAAxsfE082gIQHOvJhw/YTigVqlSedPydWpXJ08ee4t0sAH27zlE+YplKV22FPb2dgS092PtmgizmLXBG+jYNRCAVoHebI3cYZi+JoKA9n7kyWNP6bKlKF+xLPt2HzQtF9ChFcuXrDFbV/EShlF6SikGD+vP3P9baJF2pTdr5u+mExVXrgilW/cOALi71zbsO9IXHOIucuPmTdzdDVd86da9AytXhgGYjd8OCPTl8OFj5KYHr6Er9vZ2tGnvy9rgDWYx64Ij6Ng1AIBWgS3ZGhmVC5lm7f9++oOWTTvQsmkHglet4+WubQGo61aLG4k3SEi3b0+Iv8itm7eoa9y3v9y1LSGrwx/6HPny5SV/fsOpVh6ejUhOSeHY0ZMWaE3mfpo1B49GgXg0CmT1yjC6dmsPgNv992Bmn183buFmfA927dae1SvXcvjQMZ6r8BK1qnlSq5onMdFxNGvS9tnvYP8Hri7yLFSyM3MGqAfsADo9wfKTgO+VUl211teU4RhN+k7yfUeA8kqpylrrE0BP4P4n0v081pBxGEtbpdQkDENPPIERSqlyQLTW+kelVAGgLjD7CfJ/LCkpKUz8cBoz53+Fra0NS+et5OTR07z5fn8O7TvChpBIlvyxgknfjmH1toVcv5bI8AEZLxn0tAgLjaClTzN27A0j6XYSb7/54BJO6yOX4dXU0AEfPnQs38yYRN58eQkP28ha49jrydM+Ik+ePCxa9n8A7Ny5j+HvGi7T1bCxOzExcZw9c8HKrXp8w8dMJmrPfq5dS6RFux680bcnHQN8czutf+xZatfqNevw82vO0b82czspiX79hprm7YwKxc3dcKLc4MEf8vPPX5Avb16CQ9azJtjQGRg4cDjTp4/Hzs6Ou3fuMGjQ+wB0aO9Pjx6duHcvmTtJd3il++OMSHsyKSkpjPlgErMXfo+NrQ0L/1jG8aMneXfEGxzYe4i1wREsmLOUL77/lPVRK7h+LZG3+hnyPH70JKuCQgndspSUlBQ+fn8iqamGT7C8+fLSxLMBo4Z+YvZ8AR386NXXUFEOXrWOhX8ss1jbshISvB5fXy/2H9xA0u0kBg583zRvy7ZVNGrQGoAh73zEzJmfkTdfXsJCI0xXEZkw4UNq1nwRreHsuQu8/dbIzJ7GalJSUhg7Ygq/LZyBjY0NC/8I4vjRUwwZMYgDew+zLjiCBXOXMX3GBMJ3BHH9WiJv9x9hWn7j7lU4FCyAvb093v5e9O70BieOncq19qwNjaCFtwfb9oSQdPsOQ9Ls29dGLqFlU8MXpA+GjuOrGZPIm+9/hIdFms6radWmJZ9OGUXxEsWY8+cPHDxwhG4d+1OiZDHmLf6J1NRU4mITeGtA7l2yMDRkA96+nuzeH05SUhJvDnyQy8Yty/FoZPhSO2zIx8yYOZW8efOyNiyCsNCIrFYpngHqaR2jBYYTH4GVWuvqxsfvAQ7AfOBP4CYQDvTQWpdXSvUB3LTWg43xZ4yPL6WdZ+xUDwP6Y6h03wQ2AxO01teVUje11g5p8mgBTMPwpSQKw0mTd40nLv4MxAPbjev3VEqNBVyBSkBZYKqxY90bGA7cMz5nr4eNDa/u1ODpfXGeUPwdy1TnclvMyTWPDhJPhXyuFj3fOFeUKVgit1OwiItJibmdgkU45n86T0D8J24n33l00DPobrL1zyGwhqs3T+TOtQzT5tDZ02p9nKILN+RKe5/qTvazytjJvqm1/kcXu5VO9rNDOtnPDulkPzukk/3skE72s0U62dbxrA4XEUIIIYQQz6pcHCttLdLJtgCt9djczkEIIYQQQuSeZ+HqIkIIIYQQ4l/kafvFR6WUn1LqqFLqhFJqRBYxLyulDht/IPGPR61TKtlCCCGEEOI/SyllC3wHeAMXgCil1HKt9eE0MVWAD4HGWuurSqlHXmdZOtlCCCGEEMK6nq4x2fWBE1rrUwBKqflAW+Bwmpj+GH6B/CqA1vrhv4aEDBcRQgghhBD/Ykqp15VSO9PcXk8XUgo4n+bxBeO0tJ4DnlNKbVZKbVNK+T3qeaWSLYQQQggh/rW01rOAWQ8JyewSf+kHc9sBVTD8wGBpIFIpVV1rfS2rlUonWwghhBBCWJV+uoaLXADKpHlcGojJJGab1voecFopdRRDpzsqq5XKcBEhhBBCCPFfFgVUUUpVUErlAboCy9PFLAO8AJRSJTAMHzn1sJVKJVsIIYQQQljXU1TJ1lonK6UGAyGALfCL1vqQUmo8sFNrvdw4z0cpdRhIAYZrrS8/bL3SyRZCCCGEEP9pWuvVwOp00z5Oc18DQ423xyKdbCGEEEIIYVVP2Zhsi5Ax2UIIIYQQQuQwqWQLIYQQQgjrkkq2EEIIIYQQIrukki2EEEIIIaxKxmQLIYQQQgghsk0q2UIIIYQQwqqkki2EEEIIIYTINqlkCyGEEEIIq5JKthBCCCGEECLbpJL9FIv6ulVup5Djnh+0KLdTsIh8rk1zOwXxmJJiInM7hRzXu96w3E7BIhrmL5DbKVjEl0mHczuFHFc+v1Nup2ARC0vZ5nYK/15a5XYGFieVbCGEEEIIIXKYdLKFEEIIIYTIYTJcRAghhBBCWJWc+CiEEEIIIYTINqlkCyGEEEIIq9KpcuKjEEIIIYQQIpukki2EEEIIIaxKxmQLIYQQQgghsk0q2UIIIYQQwqq0/BiNEEIIIYQQIrukki2EEEIIIaxKxmQLIYQQQgghsk0q2UIIIYQQwqrkOtlCCCGEEEKIbJNKthBCCCGEsCqtczsDy5NKthBCCCGEEDlMKtlCCCGEEMKqZEy2EEIIIYQQItukky2EEEIIIUQOk+EiQgghhBDCqmS4iBBCCCGEECLbpJIthBBCCCGsSi7hJ4QQQgghhMg26WT/y20+HkPbr1YQ8OVyftl4KMP82Gu36PfLWrrMWEPn71YTeSwagGu379Lvl7U0nPAnk1ZGWTvtLI2bNIKNO1cRErmY6jVfzDSmRq2qhG5awsadqxg3aYRpeuEihZi7ZBYRUSuZu2QWhQsXAqBdp9aERC4mJHIxS4J/58Vqz1mlLWl9MX08Rw5vYveuMOrUrp5pTN06Ndizey1HDm/ii+njTdNr1arG5sgV7IwKZdvW1bi71TZbzq1eLe4mnaNDh9YWbUN6lmhTQIAPu3eFmaY3buRulbZk1+iJ0/Fo3ZV2PQbmdirZUrNZHaaFf8v0iBkEDOqQYf4L9avy6app/H5yEfX9G5qmV21YnYmrp5tuvx5dgJtPfWum/lBlPWvSY8Nn9Iz8nHpvBGSYX71Hc7qFTaJr8Kd0XPwRRau4ApC3iAPtF4xkwJGfaPZJL2unnYFH80aEbVtC+I4gBrzdJ8P8PHns+fqnyYTvCGJxyG+UKuMCQJGihZm7bCb7z2xizOQPTPEFHPKzYv080y3q6DpGT3jPWs0xaeBZnwWRs1m4eS49B7+SYb59Hnsm/PAxCzfP5eeVM3Ap7QyAb/uWzA77yXTbciGcKtUqA2Bnb8eIqcP4M/J35m+cjZe/h1XblF7ehu44L/oV5yWzKdi7a4b5+dv44hq6GKe5M3GaO5MCbf3N5qsC+XFZtYAiw9+yVsoWp1OV1W655ZnrZCulNiil3Iz3b2Yyv7xSKkkptUcp9ZdSaodSqnea+YFKqRHpl0szv7ZSyj+r+c+SlNRUJq3cyXc9vVgyuDXBB85yMuG6WcyPEQfxqV6OBW+0YnLnxkxcuROA/9nZ8maLmgz1rZMbqWfKq2VTylcqh4dba0a8O45PPx+dadyn00Yz4t1xeLi1pnylcni2bALAm0P6sjliO83c27A5YjtvDOkLwPlzF3i5zav4Nu3I19NmMvnLMVZrE0Arv+ZUqVyBF6o2YdCgD/ju20mZxn337SQGDfqAF6o2oUrlCvj5egEweeIoPpkwHTd3H8aNm8bkSaNMy9jY2DBp4ihCQzdYoykmlmpTePgm6tbzxs3dh/6vD2PmzGlWa1N2tPP35ofpE3I7jWxRNja8+snrTO39CcNbvk2jwCaUqlLaLOZSzEV+GPYNW4I2mk0/vPUgI/2HMtJ/KJ92+5i/79xl/8a91kw/S8pG4TmhN8t7TWVu8/d5rm0DUyf6vqPLtjLP+0Pm+41i9w+raPpxDwCS795j27RFbJ7wR26kbsbGxoaxUz7gtS5v4du4IwEd/Kj8XAWzmM7d23H9WiLN67fl/36Yywdj3gHg7t27TJ/0PZPGfmEWf+vmbQK8upluMRfiCFkVbrU2gaFd7018h3e7f0A3z974tG1O+SrlzGICu/mTeO0mnRt3Z96Pi3hz9OsAhCxdSy/vfvTy7se4tz4l9nwcxw+dAKDPOz24eukaLzftSbdmvdm9bZ9V22XGxoai77/NxXc+JO7l18jv0xy7CuUyhN0O20B89wHEdx/AraDVZvMKD3yVu7tzsQ3iiTxznezHdFJrXUdr/SLQFXhXKfUqgNZ6udZ68kOWrQ38KzrZBy9cpkwxB0oXc8DezhbfGuXYcOSCWYxSilt37wFw887flCyYD4B8eeyoU86RPHa2Vs87Kz7+XiyevxyAPTv3U6hQQRydSpjFODqVwKGgA7ujDDujxfOX4+vfHADvVl4smh8EwKL5Qfj4Gzp0u3bs4/r1RMN6o/bj4uJklfbcFxDgy+9zFwGwfcduChcpjLOzo1mMs7MjBQsVZNv2XQD8PncRgYF+AGitKVioIACFChckJjbetNzgN19jydJVJFy8bI2mmFiqTbdu3TYtXyB/fvRTOqjPrXYNChvzf1ZUrl2F+DOxJJyPJ+VeMltXbKKet3k1+tKFi5w/cpbU1Kz/7y/5N2Tfht38fedvS6f8WJxqV+LamXgSz10k9V4Kx5Zvo6JPPbOYezeTTPft8v/PNFg0OekusVHHSDbuI3NTrbrVOXv6AufPRnPvXjIrl4bQspWnWUzLVp4smb8SgDXL19GwqeFIT9LtO+zavvehr0n5imUoXqIoUVt3UjDufQAAIABJREFUW6wNmala5wUunIkm5lwsyfeSCQsKx8O3sVlMU9/GrF4YDMD6lRG4NamXYT3e7VoQtmyd6XFAV39++2YuYNifXL9yPcMy1pKn2gvcOx9NSnQsJCdzO2w9+Zo1euzl7V+ogm2xotwx7iv/LbRWVrvlllzrZCul3ldKvW28/4VSKtx4v4VSao5S6nul1E6l1CGl1LhHrKuEUmqrUirD8XCt9SlgKHD/ufoopb413u+slDqolNqnlNqolMoDjAe6KKX2KqW6KKXqK6W2GCvjW5RSz6dZzxKlVLBS6rhSamqafPyUUruN611nnFZAKfWLUirKuK62OfF/fJiEG0k4Fy5geuxUKD8JibfNYgZ61WDVvtP4TFvK4DkbGNHazdJpPTFnF0dio+NMj+Ni4nF2ccwQExcTn2lMCcfiJMRfAiAh/hIlShbP8BxderZn/bpNlkg/S6VcnblwPsb0OPpCLKVcnTPERF+IzTRm6HtjmDJpNKdPRjF18keMGm2oGru6OtOurR8zZ/1uhVaYs1SbANq29ePggQiWB/1G//7DLNyS/46izsW4HHvJ9PhK7GWKOWfcRh6lYWBTtgRZdxt6mALORbkZc8X0+GbsFRyci2aIq9G7Jb02fU7jkV2J+Hi2NVN8LE4uJYmNSbv/S8Apw/6vpGkfmZKSwo3EmxQtVuSx1t+mgx+rloXmXMKPqaRzSRJiLpoeJ8RepKRLyQwx8caYlJQUbibepHCxwmYxLQO9CF1mqMI7FHIAYMD7r/FbyCw+nTmWYiUyvubWYluyBCnxD9qYEn8R25IlMsTlb94Upz9+pPjkMdg6Gf8HSlFkyECufT3TWumKHJSbleyNQFPjfTfAQSllDzQBIoFRWms3oCbQTClVM7OVKKWcgFXAx1rrVVk8127ghUymfwz4aq1rAYFa67+N0xZorWtrrRcARwAPrXUd47yJaZavDXQBamDomJdRSpUEfgQ6Gtfb2Rg7CgjXWrsDXsBnSqkCpKOUet345WLnz2t3ZtGcx5NZkU8p8290wfvPEFinIqHvtefbHp6MXrzloVWqXKUyfhvN0MZMYx6vPQ2buNOlR4cMh1QtLf1rAhlzzjQGQ8yA13sxbPhYKlRyZ9jwcfw483MApn8+jg9HTiQ1NdUCWT+cpdoEEBQUTPUazejYqS/jxg7P4cz/uxRPvu3cV8SxKGWeL8v+jXtyKq1/LPP3Ysa4A7+tZXaTYWyZNB/3t9tZIbPsyawdGRryD/Z/bdr7smJJyJOk9o9k1qz07cq86Q9iqtV5kTtJdzl19DQAtna2OLk6sj/qIL19X+fgrkO89fGgnEw7ex6jjXcitxIT2J34V/pzZ8cuio0xjJ136BTInc07zDrp/xY61Xq33JKbnexdQD2lVEHgLrAVQ2e7KYZO9stKqd3AHqAaUDWTddgD64D3tdZhD3murI4VbAZ+VUr1B7IaF1EYWKiUOgh8YczlvnVa6+ta6zvAYaAc0ADYqLU+DaC1vl9C8QFGKKX2AhuAvEDZ9E+mtZ6ltXbTWrv1bfnPqspOhfIRd/2W6XF84m3TcJD7lu4+hU91Qxq1ypbkbnIK127f/UfPm5N69e3KmoiFrIlYSEJcAi6lHlRDnV2diI9LMIuPi4nH2dUpXYxh53Qp4bJpeImjUwkupRlC8ULV55j61Tj6dX+ba1ctf1hx0MDe7IwKZWdUKDGxcZQu82CMaKnSLmZDPgAuRMdSqrSLeYyxYt+rZ2eWLjWM31u0aAXu7oaTBOvVrcncOTM4cWwbHTu05tuvJxIY6PtMtymtyE3bqVixHMWL516F6t/kStxlirs8qK4VcynO1fgrD1kiowatG7MzZDspySk5nd4Tuxl7BQfXYqbHDi7FuBV/Ncv4Y0HbqOibcThCbouLScDFNe3+z9G0bzOLMe4jbW1tKVjI4bH2Zy9Uq4KdnS0H9/2Vs0k/hoTYizi6PqhcO7qU5GLcpQwxTsYYW1tbHAo5kHg10TS/ZdvmZkNFrl+5TtLtJDasiQRg3coNPF+jiiWb8VApCZceVKYBW6eSpFwyH8KXej0R7hmGJd1atpo8LxryzVOzKg4vt8UlaC5F3hlAAX9vCg/uZ73kxT+Sa51srfU94AzwKrAFQ8faC6gEJAHvAS201jUxVKrzZrKaZAyd9Uf1HOoAGfYeWuuBwGigDLBXKZXZsdFPgPVa6+pAQLo80vZGUzBcd1wBmZUOFIbqdm3jrazW2qJ7tGqlinPuyg2ir97kXnIKIQfO0uyFUmYxLoXzs/2UoWNz6uJ1/k5OpWiB/1kyrWyZ/fN8WjXrTKtmnQlZFU7HroEA1HGryY3Em6bhH/clxF/i1s1b1HEzHPjo2DWQ0NXrAQgL3kCnroZROp26tiVsjWG6aylnZs3+giGDPuT0ybNWadf3P/yGm7sPbu4+LF8eQs/unQB4qX5dEq8nEpf+y0NcAjdu3OSl+nUB6Nm9EytWGKpOMbHxNPMwXOmhuVcTjp8wVHOqPN+Qys81oPJzDVi8ZBWD3x7J8uWWq1RZo02VKpU3LV+ndnXy5LHn8uWsO0zi8Z3cdxznCi6ULOOIrb0dDQOasCsse1cWahjYhC3LIy2U4ZOJ33eKIuWdKVSmJDb2tjwX2IDTYebjjguXf/DFvHyL2lw7E5d+Nblu/55DlK9YhtJlXbG3t6NNe1/WBUeYxawLjqBD1zYAtApswdbIx3v9Ajr45UoVG+CvvUcpU6E0LmWcsbO3w7ttcyJDt5jFRIZuwb+z4XwNrzbN2LnpweunlKJFG0/CgsxP2NwUtpW6jQxfzt2b1OP0Mevs2zPz9+Ej2Jctha2rM9jZkd/bi6SN5m20Kf7gi2A+j4bcO30OgCsfTSI24BVi23bn2lczubU6jOvf/mTV/C0lVSur3XJLbv8YzUYMnenXgAPAdAyd5kLALeC6cThIKwzV3/S0cdmFSqkRmZ3QqJQqD0wDvslkXiWt9XZgu1IqAENn+waQ9oylwkC08X6fx2jTVuA7pVQFrfVppVQxYzU7BHhLKfWW1lorpeporS16TNXO1oYRrd0YNHs9qamatnUrUtmxCDPW7adqqWJ4vlCaoX51GR+0nblbjoCCce0bmA5LtpoexK2797iXksr6Ixf4vldzKjkWfsSzWk54WCRe3h5E7lpNUtId3hv84OoiayIW0qqZYWTOqPc+4fPvJpA3b17Wr93E+rWGD/0ZX/7M979Mo0uP9sRciGXgq4bxvO+8P5CixYow4TPD+lKSU2jTIuMllixl9Zp1+Pk15+hfm7mdlES/fkNN83ZGheLm7gPA4MEf8vPPX5Avb16CQ9azJtjwoTJw4HCmTx+PnZ0dd+/cYdCg962We1Ys1aYO7f3p0aMT9+4lcyfpDq90z8VDwA8xfMxkovbs59q1RFq068EbfXvSMcByRxFyQmpKKr9+/CMjZo/BxtaGDX+uI/r4eToN7cap/SfYvTaKijUr8+6sDyhQ2IG6Ld3p9G5X3vc2XMGiROmSFHctwV/bMl4qNDfplFQiPvqNwDnvY2Nrw+EFEVw5Fs1LwzqSsP80p8N2U7OPD2WaVCM1OYW712+x9t0H4197b/mCPAXzYWNvR0VfN5Z1n8zV4zEPeUbLSElJYdyIKfy68DtsbGxY9Mdyjh89xZARAzmw9zDrgjfy59xlfD7jE8J3BHHt2nXe6f+hafmI3StxKFgAe3t7vP096dPpDU4cM3x59W/rTd+ub1u9TffbNW3UV3z1x2fY2Nqwcv4aTh87Q//hr3Jk31EiQ7ewYt5qxnw9koWb55J4LZGPBj243GedBrVIiL1IzLlYs/V+N2EmY74ZybvjBnP18jUmDJ1i7aY9kJLK1anfUPLrKShbG24uX0PyqbMUGtCHv/86yp2NWynYtT35PBqhk1NITbzBlXFTH71e8dRTuXl2vlKqBRAMFNFa31JKHQN+0FpPV0r9CrwEnMJQMV6utf5VKbUBeE9rvVMpdVNr7WA8YXEFEASsxlC1PoKh6nwD+F5r/X/G5+wDuGmtByullgBVMFSZ1wFDgKIYOsT2wCTgHPAbcBEIB3pqrcunXY9xvSuBaVrrDUqpVhjGbtsACVprb6VUPuBLoJHx+c5ords87P+TtGDcUzo4+sk9P2hRbqdgETE3s3dYXeSepJinq9KaE3rX+3eeANowNcNpK/8KXyYdzu0UclzJPIVyOwWLWFjq6bnCVk4qE7Uu98q7RkdfaGW1Ps7zR9bkSntztZKttV6HoTN7//Fzae73yWIZzzT3HYx//8Z8yEg+sqC1/hX41Xg/468twBUg/S9cpP11ko/Sr8f4uE2a+2uANemeNwkYkFVeQgghhBDi3yO3h4sIIYQQQoj/mNz8JUZr+bf+GI0QQgghhBC5RjrZQgghhBBC5DAZLiKEEEIIIawqF6+7YTVSyRZCCCGEECKHSSVbCCGEEEJYlZz4KIQQQgghhMg2qWQLIYQQQgirys2fO7cWqWQLIYQQQgiRw6SSLYQQQgghrEpLJVsIIYQQQgiRXVLJFkIIIYQQViXXyRZCCCGEEEJkm1SyhRBCCCGEVcnVRYQQQgghhBDZJpVsIYQQQghhVXJ1ESGEEEIIIUS2SSVbCCGEEEJYlVxdRAghhBBCCJFtUskWQgghhBBWJVcXEUIIIYQQQmSbVLKfYj3f35XbKYjHVKZgidxOQTym3vWG5XYKOe63XZ/ndgoW4Va9R26nYBHJOjm3U8hx8Xev5nYKFtE5umhup2AR23I7gf8I6WQLIYQQQgirkkv4CSGEEEIIIbJNKtlCCCGEEMKq5MRHIYQQQgghRLZJJVsIIYQQQljVf+C3aKSSLYQQQgghRE6TSrYQQgghhLAqGZMthBBCCCGEyDapZAshhBBCCKuS62QLIYQQQgghsk0q2UIIIYQQwqpSczsBK5BKthBCCCGEEDlMKtlCCCGEEMKqNDImWwghhBBCCJFNUskWQgghhBBWlfof+MlHqWQLIYQQQgiRw6STLYQQQgghRA6T4SJCCCGEEMKqUuXERyGEEEIIIUR2SSVbCCGEEEJYlVzCTwghhBBCCJFtUskWQgghhBBWJT+rLp55tZvV5avwGXwTMZN2gzpmmP9i/WpMXfUFC04upYF/I7N5C04t5bPVX/LZ6i/54KdR1ko5g3GTRrBx5ypCIhdTveaLmcbUqFWV0E1L2LhzFeMmjTBNL1ykEHOXzCIiaiVzl8yicOFCALTr1JqQyMWERC5mSfDvvFjtOQAqVi7PmoiFptuhs1vpO7BHjrbHo3kj1m0PYn3UCga+81qG+Xny2PPNT1NZH7WCpaFzKFXG1TRv0JDXWB+1gnXbg/DwamTMuRyrNiww3faf2cyrA7oD8GL151kS8jurNiwgaN0f1KpbPUfbkmvtqvYci4NnsyZyET/N/RqHggUs1q6s1GxWh2nh3zI9YgYBgzpkmP9C/ap8umoav59cRH3/hqbpVRtWZ+Lq6abbr0cX4OZT35qpP7HRE6fj0bor7XoMzO1UHqmR10sEbZrHiq1/8trgnhnm2+exZ+rM8azY+idzVv+Iaxlns/nOpZzYenItvQZ1M017pd/LLN4whyURc+je/2WLtwGgWfPGhG9fTkTUSgZlsV19+9NUIqJWsix0LqXTbFdvDOlLRNRKwrcvN21X99nY2LB6/QJ++eObDOscN3kEh89uy/nGpJHT+wuA1wb2IGTzEoI3LearWZPJ8788APTq15X1USs4fXkfRYsVsWi77mvgWZ8FkbNZuHkuPQe/kmG+fR57JvzwMQs3z+XnlTNwKW14//m2b8nssJ9Mty0XwqlSrTIAdvZ2jJg6jD8jf2f+xtl4+XtYpS3iyT31nWyl1HilVMtsxJdXSiUppfYopf5SSu1QSvVOMz9QKTXiIcvXVkr5/9O8nwY2Njb0+2QAn/Yex7st36RJoAelq5Qxi7kUc5Hvhn3FpqCIDMv/fedvhvsPYbj/EKb0+9RaaZvxatmU8pXK4eHWmhHvjuPTz0dnGvfptNGMeHccHm6tKV+pHJ4tmwDw5pC+bI7YTjP3NmyO2M4bQ/oCcP7cBV5u8yq+TTvy9bSZTP5yDACnTpyhVbPOtGrWmdZeXUi6fYfgletyrD02NjaMnzqSPi+/gU+j9gR28KPy8xXNYl7u0Z7r1xLxcg/g5+/nMGLMEAAqP1+RgPZ++DbuQO/ObzD+s5HY2Nhw6sRZWnt2obVnFwKad+PO7TuErgoH4MOx7/LV1B9o7dmFLybNMK0rp1m7XZO+GsPU8V/RqmknQlaF8/rgPhZpV1aUjQ2vfvI6U3t/wvCWb9MosAmlqpQ2i7kUc5Efhn3DlqCNZtMPbz3ISP+hjPQfyqfdPubvO3fZv3GvNdN/Yu38vflh+oTcTuORbGxsGDnpPd54ZRjtPV7Br31LKj5X3iym/SsBJF67QUDDl5kzcwFDRr9hNn/4uLfZFP6go1n5hYp07BFI91Z96dy8Nx7ejSlbwfw1t0Q7Ppk6kt4vD6Jlo3YEdmhFlXTbVZceHbh+LZFm7m34+fvfTdtVFeN25d24Pb07D2LCZ6OwsXnwkf/agO6cOHY6w3PWqF2VQoULWrxdOb2/cHJxpM/rrxDYoht+TTpia2tDQAc/AHZu30uPDgO4cC7aou1K2773Jr7Du90/oJtnb3zaNqd8lXJmMYHd/Em8dpPOjbsz78dFvDn6dQBClq6ll3c/enn3Y9xbnxJ7Po7jh04A0OedHly9dI2Xm/akW7Pe7N62zyrtsRSNstottzz1nWyt9cda67XZXOyk1rqO1vpFoCvwrlLqVeP6lmutJz9k2drAv6KTXbl2FeLOxJJwPp7ke8lsXhGJu/dLZjEXLyRw9sgZUp/Sn17y8fdi8fzlAOzZuZ9ChQri6FTCLMbRqQQOBR3YHWXY4Syevxxf/+YAeLfyYtH8IAAWzQ/Cx98LgF079nH9eqJhvVH7cXFxyvDcjZu9xLkz54m+EJtj7alVtzpnT5/n/Nlo7t1LZsXSYLxbeZrFeLd60OY1y8No5FHfON2TFUuD+fvve1w4F83Z0+czVKYbe7zE2TQ5a61xKOgAQMFCDsTHXcyxtuRmuypWLs/2LbsA2LRhK34BLSzSrqxUrl2FeOO2lXIvma0rNlHP27wafenCRc4fOfvQbesl/4bs27Cbv+/8bemUc4Rb7RoULmTZDlhOqF6nKudPXyD6XAzJ95IJXrYWT9+mZjFevk1Z/ucaAMJWrqd+E7cH8/w8uHAuhpNHH3RCK1Qpx/5dB7mTdJeUlBR2bd1Dc/9mFm1H7brVOXP6XLrtysssxruVp2m7Wr08jMYeLxmne5m2q/Pnojlz+hy1jduVs6sTzX08mD9nidm6bGxsGDV2KJPGfmHRdllqf2FrZ0vevP/D1taWvPnykRBr2N8dPnCE6PMxFm1TWlXrvMCFM9HEnIsl+V4yYUHhePg2Notp6tuY1QuDAVi/MgK3JvUyrMe7XQvClj0o8gR09ee3b+YChn379SvXLdgKkROs2slWShVQSq1SSu1TSh1USn2glFpinNfWWIHOo5TKq5Q6ZZz+q1Kqk/H+GaXURKXUVqXUTqVUXaVUiFLqpFIq0+OXWutTwFDgbeM6+iilvjXe72zMY59SaqNSKg8wHuiilNqrlOqilKqvlNpirIxvUUo9n2Y9S5RSwUqp40qpqWna6aeU2m1c77o0bf9FKRVlXFdbS/2f7yvmXJxLsZdMjy/HXqKYc/HHXj7P//IwZcXnTFz6Ge4+Lz16AQtwdnEkNjrO9DguJh5nF8cMMXEx8ZnGlHAsTkK84X+QEH+JEiUztr9Lz/asX7cpw/TADq0IWrwmR9qRNlfz9iTgnK6D7+TiSGyMISYlJYUbiTcpWqwIzi5OxEY/aGdsJv+LNh38WLEk2PR4/KipfDjuXTbvD2Hk+GF89snXOdqe+6zdrmN/nTB9KPu39cGllPmhfksr6lyMy2m2rSuxl7O1bd3XMLApW4IyvvfEP+PoUtJsn5AQexEnl5JZxqSkpHDzxi2KFCtMvvx5eXVwD36Y9otZ/Ikjp6jXoDaFixYib77/0aRFI5xdzd+nOe1xtg1nFydi0rTjwXaV2b7TsE2O+fR9Jo6dTmqq+ajY3v26ERa8wbTPtBRL7C/iYxP48dvf2LwvhO2H13Ij8QaRG7ZatB1ZKelckoSYBwWNhNiLlEz3/ivpXJJ4Y0xKSgo3E29SuFhhs5iWgV6ELjMcvXMoZCiWDHj/NX4LmcWnM8dSrERRSzbD4lKteHscxr7bUaXUiUeMeOiklNJKKbesYu6zdiXbD4jRWtfSWlcHfgDqGOc1BQ4C7sBLwPYs1nFea90QiAR+BToBDTB0jrOyG3ghk+kfA75a61pAoNb6b+O0BVrr2lrrBcARwENrXcc4b2Ka5WsDXYAaGDrmZZRSJYEfgY7G9XY2xo4CwrXW7oAX8JlSKsNAUqXU68YvEDtP3Tz7kCY9msrkEInWj1+xHtiwLx8EDOPLt6fx6sf9cCpr3Y4MACqzNjxOzOO1s2ETd7r06JChcmNvb4e3nyergkIfO9XHoR4j16xiMpmM5sGy9vZ2tPRrxuo0Ofd49WUmjP6MxjV9mTDqMyZ/PfbJk38Ia7fr/bfH0LNvV5avm0cBh/zc+/veP8g++/7ptgVQxLEoZZ4vy/6Ne3IqLWGU6Xsqw/sx85hBw/sxZ9Z8km4nmc07ffws//ftHGYu+IoZf3zBsUPHSU5Oycm0M/oH7ch0e0PT3MeDy5eucHDfX2bzHJ1L0rqtN7/+OO8fpfw4LLG/KFS4IN7+XnjU9adBNW/yF8hHu86tcyzn7Mgsx/QfXI96j1ar8yJ3ku5yyng0xdbOFidXR/ZHHaS37+sc3HWItz4elJNp/6cppWyB74BWQFWgm1KqaiZxBTEUbbPqo5qxdif7ANBSKTVFKdVUa30dOKGUehGoD0wHPDB0uCOzWMfyNOvarrW+obW+CNxRSmV1RkNWA3I2A78qpfoDtlnEFAYWKqUOAl8A1dLMW6e1vq61vgMcBsph6PBv1FqfBtBaXzHG+gAjlFJ7gQ1AXqBs+ifTWs/SWrtprd0qOpRLPztbLsddooTLg6EVxV1KcDX+ykOWMHc1wRCbcD6eQ9sOUqF6xUcskTN69e1qOvEwIS7BrErp7OpEfFyCWXxcTDzOrk7pYgwVgksJl03DSxydSnDp4mVT3AtVn2PqV+Po1/1trl01P+zm2bIpB/f/ZRafE2Jj4tO1xzHT9ri4GmJsbW0pWMiBa1evG5d90E4XVyfiYx9USzxbNuHQ/iNcuvjgNe7QNYDgFYbDjauCQi124qO123Xq+Bl6dRpIYIturFgSzLkzFyzSrqxcibtM8TTbVjGX4tnatgAatG7MzpDtpFi6o/YfFB9z0Wyf4OhSkoS4S1nG2Nra4lCwANevJlKjTlWGfPQmq6MW073/y/R7uzddXzOcNL503kq6+rzKa+3f4Pq1RM6dtuz7Li6zbSPdkK/YmHhc07TDfLtKt++MTcDtpdq09PNk0541fPPjVBo1rc+XP0ykeo0XKFehLBE7V7Jpzxry5c9LRNRKi7TLEvuLJs0acP5sNFcuXyU5OZmQleuoW7+WRfJ/lITYizi6PqhcO7qU5GK6919C7EWcjDG2trY4FHIg8WqiaX7Lts3Nhopcv3KdpNtJbFhj6BqtW7mB52tUsWQzLO4pq2TXB05orU8ZC67zgcxGHHwCTAXuPM5KrdrJ1lofA+ph6CBPUkp9jKEz3Qq4B6wFmhhvG7NYzV3j39Q09+8/zuqShHWAv9JP1FoPBEYDZYC9SqnMjvd+Aqw3Vt4DMHSO0+cCkGJ8fgVkVtJSGKrbtY23slrrDDnlpBP7juNSwRXHMk7Y2dvROKApUWGP9eWLAoUKYJfH8O8sWLQgL7i9yIXj5y2Zrsnsn+ebTj4MWRVOx66BANRxq8mNxJsZDmUmxF/i1s1b1HGrCUDHroGErl4PQFjwBjp1NWwnnbq2JWyNYbprKWdmzf6CIYM+5PTJjEcM2nbM+aEiAPv3HKJ8xbKULlsKe3s7Atr7sXaN+Umna4M3mNrcKtCbrZE7DNPXRBDQ3o88eewpXbYU5SuWZd/ug6blAjq0YvkS85wT4i7yUmPDEa1GHvU5c/JcjrcpN9pVvEQxwFDtGjysP3P/b6FF2pWVk/uO41zBhZJlHLG1t6NhQBN2hUVlax0NA5uwZXlWtQTxTxza+xdlK5amVFkX7Ozt8GvXkohQ82E5G0IjCXy5FQDebbzYsdkwxv/Vdm/g794Rf/eOzP3xT376+jfm/7IYwHR43rmUEy38PVmzNMyi7di35xAVKpajTJrtKmzNBrOYtNuVf6A3W4zbVdiaDabtqkzZUlSoWI69uw8y9ZOvaVDDmyZ1WvFW//fZErmDIQNHEh4WiXvV5jSp04omdVqRdPsOzdzbWKRdlthfxETHUcetJnnzGT6iG3m8xMlMTuy0hr/2HqVMhdK4lHHGzt4O77bNiQzdYhYTGboF/86GEzO92jRj56bdpnlKKVq08SQsKNxsmU1hW6nbqDYA7k3qcfrYPzva/V+SdpSA8fZ6upBSQNpOzgXjtLTrqAOU0Vo/9rdPq14nWynlClzRWs9RSt0E+gBfArOB2Vrri8aOrjNwKIeeszwwDchwnSKlVCWt9XZgu1IqAENn+waQ9syewsD9U5L7PMZTbgW+U0pV0FqfVkoVM1azQ4C3lFJvaa21UqqO1tqix4lTU1L56eOZjJ49FhtbG8L/XMuF4+fpMvQVTu4/wc61O6hUszLvzxpJgcIOuLV0p8u7r/Cu92BKVynD6xPfQKdqlI1i6feLrdbJTis8LBIvbw8id60mKekO7w3+f/buOzyK6mvg+PfuJghIEQRSkC7ojxog9BZCQu+gAtJUmgiCqPQm0hEsoCBggZfee0l3LWiBAAAgAElEQVRCQqiB0HvvqbQQEESyue8fu4RsEkokuwt4Pjx5yM7cmT0nszN798yd2Ud3F1kfvJh6NcyjcQZ99S0Tfx5J+vTpCQrYRlCAufPyyw+/MfX37/igbTPCr0TQ7aMvAejVtxvZsr/ByAnm9ZniTDSs1QqA9BnSU82rEgO+eNIIpH/HZDIxrN8YZi+eisFoYPG8FZw+eZYv+nfn8IGjBGwIZuGc5Xw/dRRBoau5FRNLz059ATh98ixrV/rht2M5JpOJoX1HJ4ypTJ8hPVW9KjKoz7dWzzeg9wiGju6Lk5OR+/f/YWCftM/JEXk1al6X9p+Yt9eGtZtYPG+FTfJ6nHhTPH8OnUH/2cMwGA1sXrSJsNOXadmnNecOnWFfQCgFS77NF9P78XrWTJTxKUfLL1rR17cXADneysmb7jk4HpImhzm7+XrYWEL3HyImJpZaTdvS/ZN2tGhUx9FhJWMymRgzcBJT53+PwWhkxfw1nD15nu59O3H0wAmC/baxfN4aRk0Zyuqdi4iNiaVv16FPXe/EmaPImj0rcQ/iGD3gO27fum3zPIb2G83sxVMxGo0ssuxXffp359CBYwRs2GzZr0YTHLqGmJhb9EiyXwXsWEGcycSQRPuVo9nieHFg72HWr/JnTdAC4uJMHDt8gvmzlgDQsUsbuvTsSM5cb7J+62I2+2+jf+9vbJrfd4N+5Md5EzAYDaxZsJ7zpy7Q+euPOHHwJFv9drB6/jqG/TSQxdvnEhsTy5BPHx2bS1csRXTEVcIvWV90//PIXxk2eSBffNODm9djGNlnnM1ysAd73vVDaz0dmP6EJikO8kmYqZQB82iGjql5XpXacYTPQylVB5iAuer8APgUc2c6BmiktfZTSk0HXLXWjS3L/Ams0VovUUpdADy11teUUh0tv/ewtLsAeAKZMFetT2CuOt8Gpmqt/7C0S1jOctFlYcx/3E1AbyAb5g6xMzAGuATMAq4CgUA7rXX+FJ5/DfCd1nqzUqoe5rHbBiBaa+2rlMqA+QNFZcvzXdBaP7FM0DJf4xfzlh/PYfdtx1QWbM2oXvgb9QiLSpnsM+zJnmbtnejoEGzCs3ja3qP+RRHz4I6jQ0hzhlf0K7JdXnu5Ly58nJDwzQ7fYGtdWtutj9Mgav4T81VKVQKGa63rWB4PANBaj7E8zgqcBR7uvK7ADczX8+157Hrt2ckWqSOd7JeHdLJfHtLJfnlIJ/vlIZ3sl8uL0Mle7Wq/TnajyKd2sp2AU0AtzKMXQoE2WusUTzcqpTYDXz2pgw0vwX2yhRBCCCGEsBWtdRzQA/NIhuPAIq31UWX+QsTG/3a9dh2TLYQQQgghxItGa70OWJdkWooXa2itvZ5lndLJFkIIIYQQdhX/ig4xSkyGiwghhBBCCJHGpJIthBBCCCHs6pW7s0MKpJIthBBCCCFEGpNKthBCCCGEsKsX46uRbEsq2UIIIYQQQqQxqWQLIYQQQgi7ildydxEhhBBCCCFEKkklWwghhBBC2JXcXUQIIYQQQgiRalLJFkIIIYQQdiV3FxFCCCGEEEKkmlSyhRBCCCGEXcW/+jcXkUq2EEIIIYQQaU0q2UIIIYQQwq7iefVL2VLJFkIIIYQQIo1JJ1sIIYQQQog0JsNFhBBCCCGEXcmX0QghhBBCCCFSTSrZL7AGcVkcHUKaCzb94+gQbOJ+3ANHh5Dm4vWrWWeolPF1R4eQ5jyLt3V0CDax58gcR4dgE3U9ujk6hDTnpIyODsEmvAxvOjqEV5bcwk8IIYQQQgiRalLJFkIIIYQQdiVfqy6EEEIIIYRINalkCyGEEEIIu3o1r/qxJpVsIYQQQggh0phUsoUQQgghhF3J3UWEEEIIIYQQqSaVbCGEEEIIYVdydxEhhBBCCCFEqkklWwghhBBC2JVUsoUQQgghhBCpJpVsIYQQQghhV1ruLiKEEEIIIYRILelkCyGEEEIIkcZkuIgQQgghhLArufBRCCGEEEIIkWpSyRZCCCGEEHYllWwhhBBCCCFEqkklWwghhBBC2JV2dAB2IJVsIYQQQggh0phUsoUQQgghhF3Fy5fRCCGEEEIIIVJLKtlCCCGEEMKu5O4i4qWX26skzbdMoMW2iZT4rFGy+e+086ZpwBga+42i/vIhZC3sbjX/dfc3aXtqJsW71rdXyE80etwgdu/3Y/P2VZQsVTTFNiU9ihG8YxW79/sxetyghOnDvu3LjtD1bN6+ij/nTCFL1swAODk5MWXqWIJ3rGL77nX06tPFLrkkNn7CUA4cCmTHrnWU8iiWYhsPj+Ls3L2eA4cCGT9haLL5PXt1Ivavc2R/MxsAWbJkZuHiGWwPWcuu0A182K6lTXN4kgnfDePg4SBCdq1/fH6li7Nr93oOHg5iwnfDEqYPHNSLU2d2siNkLTtC1lK7jpedon6yvF4labt5Au22TqRs9+T7VvG23rT2H0OrDaNosXQI2Sz7Vvo3MtFs4UC6nphJjW/b2zvsZCrXrMDKbfNZvXMRH/dol2y+czpnxv86gtU7FzFn3Qzc87hazXfN7cLOswG0/7R1wrQ2nd5n6eY5LAuew4ed37d5Ds9j8OhJVG/QiqZtuzk6lOdSzsuTP4N/Y/a2P2j12QfJ5peoUIJp63/G78J6qjeo5oAIn42nV1lmbp7BH1t/4/3u7yWbX7xCcaasm8y682uoWr9qwvSCRQvy/YpJTA+YxlS/X6jRqLo9w36qgjVK0iVwAt2CJ1Lx0+THi3Kd6tE5YByfbBhN63kDyJL7zYR5NQe0opP/WDpvGofv8OT7qHhxvbCdbKXUOqXUGylMH66U+uopyw5XSoUppQ4opU4rpZYppYommj8z8eMUlu+olHJ/3PyXhTIoKo7qgF/b8Syv2ZeCTSsm60SfW76TFT4DWFV7EId/WUv5YW2t5pcf/iFXgg7aM+zH8vGtTsFC+SlfujZf9hrC+EnDU2w3YdJwvuw1lPKla1OwUH5q+ZgPtsFB26lWsSFeVRpz9uwFevXpCkDjpnVJ91o6alRujE+N5rTv+AF58ua2V1rUruNFobfz41HSm149BvL9D9+m2O77H7+lV4+BeJT0ptDb+fGtXSNhXu7cbnh7V+XSpbCEaZ27tOPEiTNUqdiA+vXaMHr0QJydnW2eT1IP8ytVoiY9ewzghx9Hptjuhx9H0rPHQEqVqJksvymTf6dyxQZUrtgAv42b7RT54ymDwmtkB1a1H89c774UaVIxoRP90MkVO5nvO4AFdQexb9paqg0171tx9x8Q8t0Sto+c54jQrRgMBgaO+Yrubb6kWfU21G3mQ8Ei+a3aNGvTiNiY2zSq9D5zfl1I78HdreZ//c3nbAsMSXj89rsFadG2MR/W+4T3vDtQ3bcKeQu8ZY90/pWm9X2ZNinl1+TLwmAw8PnIHgxoN4iPa3bGu4kX+QrntWoTHRbN+D7fsWlFoIOifDqDwcBnIz9jcPshdPbuSs0mXuRNksfVsGgm9plI0Iogq+n3791nQu/v6OLTjUHtBtN1WFdez/K6PcN/LGVQ1P62A4s6jGe6T1+KNq7Im0mOF1FHL/BHwyH8VncgJ9btpuYA84fW3GUL85ZnEX6rM4CZvv1xK1WQvBX/54g00ly8HX8c5YXsZCulFNBQax3zHKv5XmvtobUuDCwEApVSOQG01p201seesGxH4KXvZOcoXYjbF6K4c+kq8Q9MnFsZQt46Za3aPLhzL+F3p4yvgX50U528dcpy+9JVYk6G8SKo26AWC+evAGDvnoNkzZoFF5ecVm1cXHKSOXMm9oQeAGDh/BXUa1gLgM2B2zGZTOblQw/g7m6uyGmtyZgxA0ajkfTp0/PgwQNu375jr7So38CH+fOWAxAaesCcl2uSvFzNee3evR+A+fOW06Chb8L8MeMGM2TwWHSi7afRZM5kfpPJ9HpGbt6MIS4uztbpJNOwoS/z5y4DnpxflsT5zV1Go0a17R7rs3LxKETMhShiLfvWqVUhFKz9bPtW3L37RISeIu7+A7vGnJLipYty+fwVwi6FE/cgjg0rAvCqY13lrFmnGqsWrQfAf00Q5at6PppXtzpXLoVz9uT5hGkFCufj0N4j/H3vPiaTib079+NdvwYvKk+PEmTNktnRYTyXdz3eIexCOBGXIol7EEfQymAq165s1SbqShTnjp9Hx7+4N057x6MI4RfCibTksXlVMJVqV7RqE3UlmvMnLhCvrfMIOx9G+IVwAG5E3eDW9RiyZs9qt9ifxN2jEDcvRBFz2Xy8OL46hCK+1seLSzuPE/f3PwCE7z9DFrfs5hlaY3zNGaOzE8Z0zhicjPx17Za9UxD/0gvTyVZK5VdKHVdK/QLsA0xKqRyWeYOUUieVUgHAO4mWKaSU2qCU2quU2qqUejeldWutFwJ+QBvLcpuVUp5KKaNS6k+l1BGl1GGl1BdKqZaAJzDXUgnPoJQaqpQKtbSbbvkQ8HA945RSu5VSp5RS1SzTjUqp7yzrPKSU6mmZXlYpFWyJd6NSys1mf1Ago2s2/gq/kfD4bsQNXnfNlqzdux18aLF9IuUGt2LX0NkAOGV4jRKfNeTApGW2DDFV3NxcCA+LTHgcHh6Jq7uLVRtXdxfCwx+1iQiPxM3Nug1Am7Yt2OS/BYDVKzdy9+49jpzaxv6jQfw8+XdibtrvIObu7sqVKxEJj8PCI3F3sz4l7+7mSliivMLCIhM+JNSrX4uIiEiOHD5htcz0abMp8k4hTp0NYefu9fT7+lurTri9uLm7WOUXHhaREPtD7u6uhIUl+huEReKWaNt27daekF3r+WXaON54I4vtg36K112zcSfRvnUn4gaZUti3SnTwof22iVQZ2Ipgy771IsnllpPI8KiEx9ERV3Fxy/nYNiaTiTu3/+KN7FnJkDE9H/Voy7Tvfrdqf+bEOcpW9CBrtiykz/AaVWtVxtU9l+2T+Q/L4ZaDqxFXEx5fjbxKDrc3n7DEi+lN1xxcDX+Ux7WIa+RwTX0e73gUwcnZiYiLEU9vbAeZXLMRG/HoeHE74gaZUzhePFTqgxqc3Ww+gxy27wyXdh6jZ+gUeoZO4dyWw1w/E27zmO1B2/HHUV6YTrbFO8BsrXVp4CKYO6ZAK6A00Bwol6j9dKCn1ros8BXwyxPWvQ9I2gn3AHJrrYtrrUsAf2itlwB7gA8tlfB7wBStdTmtdXEgA9Aw0TqctNblgd7Aw4GkXYACQGmtdUnMHXZnYDLQ0hLv78CopEEqpboopfYopfZs/uv0E9J5OstnASsp9bFOzApgaZUv2TNqAaV6NQWg9FfNOTpjA3F37z9XDGkp5Xx0qtt88VU34uJMLFm0CoAyZUtiMsVT4p1qeJasRfceH5Mvv/1Obz9PXhkypOfrvp8x6tsfks2v5VOdw4ePU6RQRapWasiEScPJnDlT2gX+jP59fub/Z86YS4liNahUsT5RkVcZPXZQsrb29qz71uFZAcyu+iU7xiyg3OdN7RBZ6qSQRgrbJuU2n37diTnTF3Dv7j2reedPX+SPKXP4deGP/DLve04dPU1cnCktwxbPwBEfqJ9Xyq+11K0je65sfP3D10z88vsX5m+geLbjBUCxZlVwLVGQXb+uBSBbPhfefDs3Uyp+zpQKPclfuSh5yr+T8sLihfOi3V3kotY6JMm0asByrfVdAKXUKsv/mYDKwOJEb3ivPWHdKd2R8RxQUCk1GViLudqdkppKqb5ARiA7cBRYbZn3sNS7F8hv+d0HmKa1jgPQWt9QShUHigP+lniNQLKP2Vrr6Zg/PPBH7rbPdYT4K+IGr7tnT3ic0S07d6NuPrb9uZUhVBrzEQA5Sr9Nvgbl8RzUinRZMkK8xnT/Acf/9H+ekFLt405taNfBfOHU/v2Hcc/9qALq7u5KVES0VfuIRBVeADd3VyIjH7X5oHVTfOt40aJxx4RpLd5rSGDAVuLi4rh27Qa7Q/bhUboEFy9csVFW5vHSHT4yX5y0b+8h3nrr0UmN3O6uRERGWbUPC48gd6K8cud2JSIiigIF85Ev/1tsD1mbMH3r9tXUrNGUtu1aMmniNADOnbvIxYuXKVKkIHv3HrJZXg916dqOjh+1AmBvkvzcc7sREZEkv7AIcudO9DfI7UqkpU109LWE6X/8Pp8lS3+zZejP5E7EDTIl2rcyuWXnryfsW6dWhuA16iN7hJYqUeFXrc4G5XLLSXTktRTbREdcxWg0kinz69y6GUuJ0kXxaViT3kM+I3OWTOh4zT/3/2HB70tZPn8Ny+evAaDngK5EJaqyirR3LeIaOROdgcjpmpPrkTeesMSL6VrENXK6P8ojh1sOrkddf+blM2bKyIg/RzBrwixO7D/x9AXs5HbkjUfDP4DMbtm5k8LxIn+VYlTu0Zi574/C9I95aF+Rup6E7z/DA0vB62zQQdxLv83l3SftE7wNyX2y7e+vx0xPqbNpAGIs1eaHP0+6GqA0cNxqpVrfBEoBm4HPgJlJF1JKpcdcIW9pqXbPANInavKw1Gvi0YcWlULMCjiaKNYSWmubDjq9duAcWQq4kilPTgzORgo2qchlv31WbbIUePQGm8fHg9jz5iEJ65t/y5KKX7Ck4hccm7mRQ5NX2b2DDfD7zHnUrNaUmtWasn5NAB+0NlcDy3qWIjb2NlFR1m/eUVFXuXPnL8p6lgLMneoNazcB4F2rGj17d6Zdq0+5d+/vhGWuXImgWvUKAGTMmIGy5Upx+tQ5m+Y1Y/r/UbVSQ6pWasja1f60btMMgHLlPMx5RSbJK9KcV7lyHgC0btOMdWsDOHb0JIXyl6dE0eqUKFqdsLBIqlVpRHTUNS5fDsfLyzwuM2euHBQuXJDzFy7bNK+Hpv/6fwkXKq5Z7UfrD5s/Nb/bd+48yu/D5qxZY369JR6/3ahxHY4dO2WXHJ4k6uA53sjvShbLvlWkcUXO+1vvW1nzP9q38tfyIOZCZNLVONzRA8fJW/Atcud1w8nZibpNfQj222bVZrPfVhq/Xw8A34Y12b19LwAfNe1O/XItqF+uBXNnLGLmT7NY8PtSALLnMJ8Kd83tQq36Xqxfbv9jx3/JiYMnyV0gN655XHFydqJmkxrs8N/p6LBS7eTBU+TO745LHhecnJ3walyDEP+kdbeUOTk7MXTGEDYt3cTWtduevoAdhR88R7YCrmS1HC/+16gip5McL1yK5aPumI9Z8skk7l6PTZgeG3aNPBXeRRkNGJyM5K34v1dmuMh/wYtWyU7JFuBPpdRYzPE2An7VWscqpc4rpd7TWi+2jJMuqbVOdisMpVQLoDbwZZLpOYB/tNZLlVJngT8ts24DD6+EedihvmapnrcEljwlZj+gm1Jqs9Y6TimVHTgJ5FRKVdJa77QMHymitT6aqr9GKmhTPCGDZ1F7Xl+UwcDphcHEnAqj9FctuHbwPJf99/G/jrVxq1aM+DgT/9z6i629f7VVOM/N3y8Yn9o12H3An3t37/H5ZwMT5gVtXUHNauYO+Nd9hjP5lzGkz5CeQP8tBFjGXo/9bgjp0qVjyYo/ANiz5yBffzGM32fM5adfxrA1ZA1KKebPXcaxo/arEmzcGETtOl4cPBzE3Xt/071r34R523auoWol8+ikL3oNYer08WRInx5/v+Cn3mVj/NjJTJs+gZ2716MUDBsyjhvXH19ttZWNG4KoU6cmh45s5t7de3Tr9ii/HSFrqVyxAQC9ew3h118nkD6DdX4jRw6gZMn/oTVcvHSFz3sOTOlp7Eqb4gkeMovGc/piMBo4tjCYG6fCqPBlC6IPnee8/z5KdqxNnqrmfev+rb8I+OLRvtVhx/eky5wBg7MTBet4suLDsdw8bf83TpPJxJiBk5g6/3sMRiMr5q/h7MnzdO/biaMHThDst43l89YwaspQVu9cRGxMLH27Jr99ZFITZ44ia/asxD2IY/SA77h967Ydsvl3vh42ltD9h4iJiaVW07Z0/6QdLRrVcXRYqRJvimfykCmMmzsag8HA+oUbuXjqIh2/as/Jg6fY6R/CO6WK8M3MYWTKmplKvhXp0Kcdn9Sy/+1KnyTeFM/PQ6Yyes5IDEYjfgv9uHjqEu2/bMepQ6cI8d9FkVJFGDpjCJmzZqKiTwXa92lLF59uVG9YjRIVipMlW2Z83/MB4Ls+kzh3zLYFk2ehTfH4D51Fq9l9UUYDhxYFc+10GNX6tCDi0HnOBOyj5sDWpMuYnma/fA5AbPh1lnSaxIl1u8lXuRid/MaAhnPBhzizab+DMxLPSr0wY5aUyg+ssYx7Ril1AfDUWl9TSg0C2mMep30FOKa1/k4pVQCYCrgBzsACrfUIpdRwoDNwFXgdOAIMenhHEaXUZsxjuB8Af/Cooj9Aa73e0ikfDdwDKgGDMI8LvwBcxjysZfjD9Wit91g67Hu01vmVUk7AeKCu5TlmaK2nKKU8gJ+ArJg/MPygtZ7xuL/J8w4XeRH1vRPq6BBs4n6c4+8UkdaSXr3/qhjzZhVHh5DmZj5wfEfCFvYcmePoEGyirsfLfU/ulDgpo6NDsAkvw8t3AemzGHBxjsMHa4zNZ78+Tn8H5fvCVLK11hcwj1l++Dh/ot9HkcJFglrr85g7skmnDweGP+G5vBI9LJPC/KXA0kSTBlt+HrserfU1LGOyLWOx+1h+Erc/ALxYd8gXQgghhBBp7oXpZAshhBBCiP+GV/NcqbUX7cJHIYQQQgghXnpSyRZCCCGEEHYV/x+oZUslWwghhBBCiDQmlWwhhBBCCGFX8Y4OwA6kki2EEEIIIUQak0q2EEIIIYSwq1d/RLZUsoUQQgghhEhzUskWQgghhBB2JWOyhRBCCCGEEKkmlWwhhBBCCGFX8crREdieVLKFEEIIIYRIY1LJFkIIIYQQdiXf+CiEEEIIIYRINelkCyGEEEIIkcZkuIgQQgghhLCrV3+wiFSyhRBCCCGESHNSyRZCCCGEEHYlX0YjhBBCCCGESDWpZAshhBBCCLv6L9zCT2n96if5svpfrvKv3Ma5HXfX0SHYRDqDs6NDEM9I8ep9zVicjnN0CDbxdgZXR4dgExsOTHN0CGmuZNFWjg7BJv6JfzX3rbPX9jn8QNgvf2u79XHGXZjvkHylki2EEEIIIezqlasipkDGZAshhBBCCJHGpJIthBBCCCHsSu4uIoQQQgghhEg1qWQLIYQQQgi7+i/cXUQq2UIIIYQQQqQxqWQLIYQQQgi7evXr2FLJFkIIIYQQIs1JJVsIIYQQQtiV3F1ECCGEEEIIkWrSyRZCCCGEECKNyXARIYQQQghhV/o/cOmjVLKFEEIIIYRIY1LJFkIIIYQQdiUXPgohhBBCCCFSTSrZQgghhBDCruRr1YUQQgghhBCpJpVsIYQQQghhV69+HVsq2UIIIYQQ4j9OKVVXKXVSKXVGKdU/hfl9lFLHlFKHlFKblFL5nrZO6WQLIYQQQgi7ikfb7edplFJG4GegHlAUaK2UKpqk2X7AU2tdElgCjH/aeqWTLYQQQggh/svKA2e01ue01v8AC4AmiRtorYO01nctD0OAt562UulkCyGEEEIIu4q3449SqotSak+iny5JwskNXE70+Ipl2uN8Aqx/Wo5y4aMQQgghhHhlaa2nA9Of0ESltFiKDZVqC3gCNZ72vFLJfgVVrVmRdTsWs2HXUjr1bJ9svnM6ZyZNH8WGXUtZsP533PO4AVCidFGWBc5hWeAclgfNxae+V8IyAXtWsHLzPJYFzmGx3yx7pQLAiDED2LZnHf5bl1G85P9SbFOiVFECti1j2551jBgzIGH6G29kYd6yGWwNXcu8ZTPImjWL1XKlShfn4tWDNGjsmzBt0PA+bNqxgqCQVVbrsoXq3pUJCFlO4O6VdPv8o2Tz06Vz5qeZYwncvZJlG2eT27Kt3siWlbkrpnP4wnaGj+2X0D59hvT8Nv8n/HcuY8O2JfQd8rlN438WaZ2jI1X3rox/yDICd6+k6+cdk81PnMvSjbOS5PIrhy5sY1iiXF7PlJHVQfMTfkJPbmLwyK9snkcN7yoE7lpFcOgaPu31cYp5TJk5nuDQNazwm8tbedwT5nXv/QnBoWsI3LWK6jUrWy1nMBhYF7SQ3+dNTrbOb8b259jFkLRPJpXKeXnyZ/BvzN72B60++yDZ/BIVSjBt/c/4XVhP9QbVHBBh2hg8ehLVG7Siadtujg7lqWzxnjXyh8FsO7qBVcHz7ZWGlbQ+VgA4OzsxatJgAnYtx2/nUuo09LZHKjaj7fjvGVwB8iR6/BYQnrSRUsoHGAQ01lrff9pKpZP9DJRSXkqpNZbfOyqlplh+NyilZimlfldm65RSb1jm3bH8n18pdcResRoMBoaM60uX1r1oVPUDGjSvQ6EiBazatPywMbdu3aZuhRbM/nU+Xw3pAcDpE2d5z7cDzb3b0uWDzxk+oT9GozFhuQ7NP6W5d1veq93BXung7VONAoXyUtWzPv2+GM6YiUNSbDfmuyH0/eIbqnrWp0ChvNT0qQrAZ707sT04hGrlGrA9OITPen+SsIzBYGDgsC8IDtyeMK1seQ88K5TGt2pzalVuSqkyxahUpZxNcjMYDHwzrj8ffdCDOlVa0Kh5Xd4uUtCqzfsfNiU25jbe5Zvw+7S59BvWC4D79+/z/ZhfGDP8+2TrnfHzbHwrNadRzVaULV+KGrWq2CT+Z2GrHB3BYDAwfFw/Pv6gZ6JcrPet9z5syq2YWLzLN+GPJLlMGjM1WS5/3blLo5qtE37Cr0SycW2gzfP4dvxAOrz/KT6Vm9K4eT0Kv2O9TT5o25xbMbHUKNeQ36b+H/2H9Qag8DsFadSsLr5VmtHhvU8ZOWEQBsOjt5GPu37ImVPnkz1nCY+iZMma2aZ5PQuDwcDnI3swoN0gPq7ZGe8mXuQrnNeqTXRYNOP7fMemFbbdDrbWtL4v0yaNdHQYT2Wr96wVC9bSpVUvu+cDtjlWAHTv04nrV2/gU6EZdSQhZfoAACAASURBVCq3ZPeOfXbJ5z8iFCislCqglEoHtAJWJW6glCoN/Iq5gx39LCv9T3SyLR3gNM1VKaWAaYAz0Emb1ddax6Tl86RWyTLFuHT+ClcuhvPgQRzrlvvhXbe6VRvvujVYuXAtABtXB1KxmrkT+fe9+5hMJgDSpX/tWT/92VTt+jVZssD8Ot+35xBZsmQml0sOqza5XHKQKfPr7As9CMCSBauoU9/8Cb92vZosXrASgMULViZMB/ioSxvWrfbn2tUbCdO01rz2WjrSpXMm3WvpcHJy5urV6zbJrVSZ4lw8f5nLF8N48CCONcs34lvPy6qNTz0vli5YDcD6VQFUrlYegHt3/2bPrgPc/9v6g/Tf9/4mZNseAB48iOPIoRO4uueySfzPwhY5Ooo5lytWufikkMuyBWsAWL9qE5Us+9a9u3+zd9cB/vn7n8euP3/BPLyZIxuhO237xulRpjgXzl9KyGP18g341qtp1ca3nhdLLfvdulX+VKlewTK9JquXb+Cffx5w+VIYF85fwqNMcQBc3V3wrl2dBXOWWa3LYDAwaHifF+LD0rse7xB2IZyIS5HEPYgjaGUwlWtbV+OjrkRx7vh5dLzjj3/Pw9OjBFmzOP6DzdPY6j1rT8h+YmJi7ZSFNVsdK95r05ipP/4OmN+rbt5waHfjudlzTPbTaK3jgB7ARuA4sEhrfVQpNUIp1djSbAKQCVislDqglFr1mNUleGU72ZYK8nGl1C/APqCdUuqwUuqIUmpconZTLYPgjyqlvkk0va5S6oRSahvQPIWn+BF4E2ivtY63LHNBKZUjhbYP11lMKbXbsnEOKaUKp1W+D+VyzUlkWFTC46iIaFzcclq1cXHNSYSljclk4vbtO7yRPStgPuCt3rKAlcHz+ObrcQkHMK3ht0WTWeI/i/faNU3rsB/L1c2F8LDIhMcR4VG4urkkaxMRHpVimxy53iQ66hoA0VHXeDNndssyuajXoBb/98ciq3XtCz3Ijm2h7D0exL7jQQQHbufMqXM2yi1XsriTbSu3XERY8jeZTNyOvUO27G880/ozZ8lErTrV2bFld9oFnUq2ztGeXNxyEhH+6LUYGR6Ni5v1BxhXt5z/OpeGzeuydoVf2gX8GK5uLgn7PzzcX5Lm4UJ4eKJjhCUP10TbCiAy0b42bFRfRg+fRHy89Vtah06t8d+wOWE/dKQcbjm4GnE14fHVyKvkcHvTgREJW71nOZItjhWZs2QC4IsB3VkZOJfJv41LeD8TaUNrvU5rXURrXUhrPcoybajWepXldx+ttYvW2sPy0/jJa3yFO9kW7wCzgQbAt4A34AGUU0o97CkO0lp7AiWBGkqpkkqp9MAMoBFQDXBNst42QFmgleXTz7PqBvyotfbAPGj+StIGia+Ajbn3TGcjki6fbJrWT2/zsABwaN9RGlVvxfu1O9L58w6key0dAG0adqKFT3u6tO5Nm4/fw7Ni6VTH9m+knI9OdZukho/ux+hvvk/WIchfIA+FixSkXPFaeBbzpkr18lSoVPZfRP4MUtoMz7CtnpYbgNFo5MfpY5k1Yz6XL4b92wifnw1ztLeU95tkyaTQ5NlyadisDquXbfw3oaVOimkk3adSbpPitkLjXbs616/d4MjB41bzcrnmpEETX/6c4Zhxsc/iRXyt/ZfY6j3LkWxxrHBycsIttyt7dx2gifeH7N9ziAHffPG8oQobe9U72Re11iFAOWCz1vqqpVM8F3h4Pup9pdQ+zDcZL4b5JuTvAue11qe1+VU/J8l69wH5MN9XMTV2AgOVUv2AfFrre0kbaK2na609tdaeb2RI/Wn+qIhoXHM/qvS6uOUiOvKqVZvIiGjcLG2MRiOZM2ci5uYtqzbnTl/g3t17FH63EABXLVWoG9duErBuMyXKJL1He9rp8EkrNgYvYWPwEqIio3HP/egzjpu7C1GR1h8+IsIjcXN3SbHNtejrCcNLcrnk4LplaEhJj2L8PHMCOw9spEHj2oyaMJg69b2p29CHfXsOcveve9z96x5BAdso41nSJnlGhkcnizvZtgqPws2Sv9FoJHOW5NsqJaMnDebCuUv88eu8tA06lWyZo72Zc3n0WnR1z0VUslyi/1Uu7xYrjJOTMVkn1RbMf++k+4t1HhHhUbi7JzpGWPKISLStwDxEJCoiGs8KHvjU9WLb/vVMnjGeytXK88O00RQv8S75CuQleM8atu1fT4aM6QkOXWPzHB/nWsQ1ciaqkuZ0zcn1yBtPWELYmq3esxzJFseKmzdiuPvXPfzWBgGwfmUAxUq+a4Po7ecFu/DRJl71TvZflv9TujULSqkCwFdALcs3+KwF0ltmP2mrnADeBxYqpYo9azBa63lAY+AesFEpleaXBh/ef4x8BfOQO687zs5O1G9Wm6CNW63aBG3cQpMPGgBQp5F3whje3HndEy4acX/LlQJv5yPscjgZMqYn4+sZAciQMT1VvCpw+vjZtA49wazfFlCnRkvq1GjJhrWBtGxlPiNTxrMkt2PvJDvtHB11jTt37iZ0hlu2aozfOvOByH/DZt5rZb6f/HutmuC33jy9cum6VPKoQyWPOqxd5cegr0eycV0gYVciqFjZE6PRiJOTExUre3LaRsNFDu0/Sv6CeXnLsq0aNqtDwIbNVm02bQimRatGANRr7MPOraFPXW+fAd3JnCUz3w6aYIuwU8VWOTqCOZc8Vrls2hBs1WbThmCat2oIQL3GtZ45l0bN69qnig0c3H+UAgXzkSdvbpydnWjUrC7+6zdbtQnYsJkWlv2ufmNfdmw1DznyX7+ZRs3qki6dM3ny5qZAwXwc2HeE8d/+RMUSvlQtXY+enfuyY+tuencbSKD/VsoV9aZq6XpULV2Pe3f/pka5hnbJMyUnDp4kd4HcuOZxxcnZiZpNarDDf6fD4hG2ec9yNFsdKwL9tlCxqicAlauX58xJ27w3ibTzX7lP9i7gR8t46ZtAa2AykAVzR/yWUsoF89dpbsbciS6glCqktT5raW9Fa71DKdUNWKuUqq61vvS0IJRSBYFzWuufLL+XBNL0EnaTycTI/hOYufAnDEYDy+at5szJc/Ts14UjB44TtHErS+auYtzP37Bh11Ju3Yzly66DAChboRSde3bgQVwcOj6eEf3GE3PjFm/lc2fyn+YOm5PRyJplG9kWZJ9bcQX6b8Hbtxrb9q7n73v36NPj0d1FNgYvoU6NlgAM/OpbJv08kvTp07M5YCuBAeaD9JQfZjLt94m0atucsCsRdPuozxOfb+1KP6pUK0/A9uVordm8aRsBG4OfuMy/ZTKZGN5/HLMW/4LBYGDxvJWcPnmO3v0/5fCBY2zaEMzCuSuY9MtIAnev5FZMLJ937p+w/JZ9a8mU+XWcnZ3xrV+TDi27c+f2HXp82Zkzp86xOtB8in72bwtZNGe5TXJwRI62GiP/LLl8038cfy7+GYPBwJJ5qyy5dLPksoVFc1cw8ZdvCdy9kpiYW/Tq/OgWkMH71iTKxYuOLbsn3ImjfhNfPmlln9stmkwmhvYbzezFUzEajSyat4LTJ8/Sp393Dh04RsCGzSycs5zvp44mOHQNMTG36NGpLwCnT55l7Uo/AnasIM5kYkjf0cmGXL3I4k3xTB4yhXFzR2MwGFi/cCMXT12k41ftOXnwFDv9Q3inVBG+mTmMTFkzU8m3Ih36tOOTWkm/t+LF9/WwsYTuP0RMTCy1mral+yftaNGojqPDSsYW71kA3037lvJVyvJG9jcIOrCaKeNnsHTeU69TS7OcbHGsGPfNT0yc+i2DR37Fjes36dtzuF3ysZWX58jx76lXdTyaUio/sEZrXdzyuA0wAHNVe53Wuq9l+p9ABeAccB9YpbX+UylVF/gBuAZsA4prrRsqpTpi/u76HpblPwK+xjx2e69l3jWl1B2tdabEcSilBgBtgQdAJNBGa/3Yc5X/y1X+lds4t+PuPr3RSyidwdnRIYhnpFI+sfVSi0vVpSEvj7czJL0c5tWw4cA0R4eQ5koWbeXoEGzin/hXc986e22fww+EHfK3sFsfZ9aFpQ7J95XtZL8KpJP98pBO9stDOtkvD+lkvzykk/1yeRE62e3yNbdbH+f/Li5zSL6v+phsIYQQQggh7O6/MiZbCCGEEEK8IF65U/UpkEq2EEIIIYQQaUwq2UIIIYQQwq7i/wO1bKlkCyGEEEIIkcakki2EEEIIIezKkd/EaC9SyRZCCCGEECKNSSVbCCGEEELY1X/hGx+lki2EEEIIIUQak0q2EEIIIYSwK7m7iBBCCCGEECLVpJMthBBCCCFEGpPhIkIIIYQQwq7kFn5CCCGEEEKIVJNKthBCCCGEsCu5hZ8QQgghhBAi1aSSLYQQQggh7EprGZMthBBCCCGESCWpZAshhBBCCLuSL6MRQgghhBBCpJpUsoUQQgghhF39F+4uIp3sF1hWp4yODiHNxT74y9Eh2MTduL8dHYJ4Rvkzujg6hDQXdf+mo0OwCSdldHQINlGyaCtHh5DmDh1b4OgQbKJSiQ6ODkG8xKSTLYQQQggh7Eq+8VEIIYQQQgiRalLJFkIIIYQQdiV3FxFCCCGEEEKkmlSyhRBCCCGEXck3PgohhBBCCCFSTSrZQgghhBDCrv4L98mWSrYQQgghhBBpTDrZQgghhBBCpDEZLiKEEEIIIexKvoxGCCGEEEIIkWpSyRZCCCGEEHYlX0YjhBBCCCGESDWpZAshhBBCCLuSL6MRQgghhBBCpJpUsoUQQgghhF3JmGwhhBBCCCFEqkklWwghhBBC2JXcJ1sIIYQQQgiRalLJFkIIIYQQdhUvdxcRQgghhBBCpJZUsoUQQgghhF29+nVsqWS/kip6lWfh1tks3j6Xdj3aJJvvnM6ZkdOGsnj7XH5b8wtub7kCUKeZD7P9Zyb87LgSSOFibwPw/dzx/J//TOYF/UHfsX0wGBzz0hkxdgDb9q7Hf9syipf8X4ptSpQqSsD25Wzbu54RYwckTG/YpDaBO1Zy+fphSnoUS5ieLVtWFq/6g1OXQxk5fpDNc0hq5LiB7Ny3gcDtKyhRqmiKbUqWKkrQ9pXs3LeBkeMGJkxv1KQOwTtXE37jKKUS5eTs7MwPP48iaPtKNm1bTuWq5WyeR1KvYl622LecnJ3oP/5LFm39PxZsmU3N+tVtnkd178ps2rWSoNDVdOv1cbL56dI5M3nmeIJCV7Pcbw6587gnzPu098cEha5m066VVK9ZOWH6x93asnH7MjZsW8qP08eS7rV0ALTv1Iqg0NWcv36QbNnfsHluKfH0KsvMzTP4Y+tvvN/9vWTzi1cozpR1k1l3fg1V61dNmF6waEG+XzGJ6QHTmOr3CzUa2X7bPEnVmhVZt2MxG3YtpVPP9snmO6dzZtL0UWzYtZQF63/HPY8bACVKF2VZ4ByWBc5hedBcfOp7JSwz8ofBbDu6gVXB8+2Vxr82ePQkqjdoRdO23RwdylNVqlmepVvnsnzHfDr0+DDZfOd0zoyeNpzlO+bz59pfE44VAG//rxC/r57Kws2zWRD4Z8K+1L1/Z9bsWcKWMxvtlod4PnbtKSml8iuljjxm3gillM8TlvVSSq15yvq9lFK3lFL7lVInlVJblFINnyPW5O+iLziDwcBXo3vxxYf9aO3VgdpNvMlfOJ9Vm8at6xMbc4f3qnzI/BlL+GxwFwA2Lg+gvW8n2vt24pueo4i4HMnpo2cAGNR1OO18O9Gm5kdkezMr3o287J0a3r7VKFAoH1XL1qNf7+GMmTg0xXZjJg6lX+/hVC1bjwKF8lHTx/ymeeL4GTq370XIjj1W7f++/w/jR0/m26ETbJ5DUrV8q1OwYD4qlanLV72GMe4xOY2bNIyveg+jUpm6FCyYD2+fagCcOH6aj9v1TJZT2w7mjkTNKk34oOknDBvZD6WUbZNJ5FXMy1b7Vsdebbl5LYb3q7WjdY0O7As5aPM8RowfSMf3u1O7cjMaN6/L2+8UtGrzfttm3IqJpWa5Rvw2dQ79h/UG4O13CtKoWV3qVGlOh/e6M2LCQAwGAy5uuejYpQ2Na7WmbtUWGI0GGjWvC8CeXQdo27wrVy6F2TSvxzEYDHw28jMGtx9CZ++u1GziRd7Cea3aXA2LZmKfiQStCLKafv/efSb0/o4uPt0Y1G4wXYd15fUsr9sz/AQGg4Eh4/rSpXUvGlX9gAbN61CoSAGrNi0/bMytW7epW6EFs3+dz1dDegBw+sRZ3vPtQHPvtnT54HOGT+iP0WgEYMWCtXRp1cvu+fwbTev7Mm3SSEeH8VQGg4F+o/vw+Ydf8V6NdtRp6kOBIvmt2jRp3YDbt27TrHJr5k1fRM/B5g8ORqORb6cMYUy/7/jAqz1dW3xO3IM4ALb4badD/a72Tsdm4tF2+3GUF6aSrbUeqrUOSINVbdVal9ZavwN8DkxRStX6F+vJD6TYyVZKvbDDbIqWfpcrF8IIvxRB3IM4/FcGUr1OFas21epUYd3iDQAErQnGs2rZZOvxbVoL/xWbEh7fvXMXAKOTEed0zuCACxbq1PdmyYJVAOzbc4isWTOTyyWHVZtcLjnInPl19oaaOypLFqyibgPz5j9z6hxnz1xItt57d+8RGrKP+3//Y9sEUlCnvjeLFqwEYN+eg2TJmoVcLjmt2uRyyUmmzJnYG3oAgEULVibkdPoxORV5pxBbg0MAuHbtBrG3YvEoXdyGmVh7FfOy1b7VqFV9Zk2eC5i/ZvjWjVs2zAJKlSnOxfOXuXwxjAcP4li9fAO+9bysY6xXk6WWfW39Kn8qVy9vme7F6uUb+OefB1y5FMbF85cpVcb89zc6GUmf/jWMRiPpM2QgOuIqAMcOnyDscrhNc3qSdzyKEH4hnMhLkcQ9iGPzqmAq1a5o1SbqSjTnT1xIdiFW2Pkwwi+YY78RdYNb12PImj2r3WJPrGSZYlw6f4UrF8N58CCOdcv98K5rXVn3rluDlQvXArBxdSAVq5nP9Px97z4mkwmAdOlfs7p12p6Q/cTExNopi+fj6VGCrFkyOzqMpypW+n9cvhBGmOVY4bdyEzXqVLVqU6NuNdYsMh8rNq3ZTPlq5mNFxRrlOH38LKePnQXg1s1Y4uPjATiy7xjXo6/bMRPxvJ67k62UGqeU6p7o8XCl1JdKqa+VUqFKqUNKqW8SLWJUSs1QSh1VSvkppTJYlvtTKdXS8ns5pdQOpdRBpdRupVTmJM/5ulLqd8v69yulmqQUm9b6ADAC6GFZLqdSaqlluVClVBXL9BpKqQOWn/2W5xsLVLNM+0Ip1VEptVgptRrwU2YTlFJHlFKHlVIfWNb1f4njUUrNVUo1VkoVs+RywPI3Kfy8f/uU5HTNSXT41YTH0RFXyemWM1mbKEsbk8nEndg7yd44fBrXxG9FoNW0H+aNZ/2hFfx15y6Ba4JtEf4TubrlIjwsMuFxRHgUrm4uSdq4EBEelahNJK5uuewWY2q5ubkkySkStyTxurnlSpJTFG5J8k7q6JET1K3vjdFoJG++3JT0KIZ7otORtvYq5mWLfStTlkwAdO37MbM2TmfUr8PJniObLdPA1S0XEYm2TWR4dLL9yMUtFxHh5jYmk4nbsXfIlv0N8/4VZr3NXN1yERURzYwps9h+cCO7jgVwO/Y2WzfvtGkez+pN1xxcTbTdrkVcI4frm6lezzseRXBydiLiYkRahvfMcrnmJDLR3z4qIhqXJK8/F9ecCdvHZDJx+/Yd3rC8/kqWKcbqLQtYGTyPb74el9DpFmkvl2tOosKiEx5HR1wll2uSgpBrDqLCzW3Mx4q/yJo9K3kL5QGtmTx/InP8fqN995fuhLpIJC0q2QuADxI9fh+4ChQGygMeQFml1MOP3IWBn7XWxYAYoEXilSml0gELgV5a61KAD3AvyXMOAgK11uWAmsAEpdTjzuHtA961/P4j8L1luRbATMv0r4DPtNYeQDXL8/XHXBX30Fp/b2lXCeigtfYGmltyexjjBKWUm2WdH1lyyQpUBtYB3YAfLc/hCVxJKVilVBel1B6l1J7ou6mv/qR45jxJdSalNjpRm2Kl/8ff9+5z7uR5qza92/SlYekWpEvnjGfV0qmO7XmlNCxAJ8stpTY2C+m5/eucnnL6a/6cZYSHR7Fx82JGjBnAnl0HiIuz35vqq5iXLfYto5MRF/dcHAo9Qoc6XTiy9yg9h36almEn8+/3I51yfmiyZM2Mb/2aVC9Tn4rFfMn4egaavtcgzWJ+Hilvk9StI3uubHz9w9dM/PL7ZH8re3mWY1uKQ6csbQ7tO0qj6q14v3ZHOn/eIWGcr7CBZ3nNPeaFaTQaKVW+BIM/G8EnTbrjVa8a5VI4I/YqkOEiz0BrvR/IpZRyV0qVAm4CJYHawH4edXIfVm7PWyrMAHsxD8tI7B0gQmsdall/rNY6Lkmb2kB/pdQBYDOQHshLyhK/kn0wDx85AKwCsliq1tuBSUqpz4E3Uni+h/y11jcsv1cF5mutTVrrKCAYKKe1DgbeVkrlAloDSy3r2wkMVEr1A/JprZN+cMCS73SttafW2jNXRveUmjxRdMRVcrk/qm7kcsvJ1chrydq4WNoYjUYyZclE7M1Hpwt9mnhbnc5O7J/7/7DVbwfVkpz6spUOnVrjt2UpfluWEhlxFffcj6qWbu4uREVGW7WPCI/Ezd0lURvXZG0c7aNObQjYuoyArcuIjIxOkpMrkZFXrdqHh0clycmFyIgn52QymRg2cCw+1ZrTsU0PsmTNzPmzF9M2kSRe1bwessW+devGLe7dvcfm9VsB82njd0rY5CRXgojwKNwSbRtX91zJ9pHI8Cjc3M1tjEYjmbNkIubmLcuy1tssKuIqVWtU5PLFMG5cv0lcXBwb12yiTPlSNs3jWV2LuEbORNsth1sOrkc9+yn3jJkyMuLPEcyaMIsT+0/YIsRnEhURjWuiv72LWy6ik+xTkRHRCdvHaDSSObN5uyV27vQF7t29R+F3C9k+6P+o6IiruOR+dOYul1tOrkaldKwwtzEfK17n1s1YoiOusm/nQW7duMX9e/fZHhjCuyWK2DV+kXbSakz2EqAl5or2Aswd2zGWKrCH1vptrfVvlrb3Ey1nIvltBBVPv7OLAlokWn9erfXxx7QtDTycZwAqJVout9b6ttZ6LNAJyACEKKXefcy6/koSw+P8H/Ah5or2HwBa63lAY8xV8o1KKe+n5PivHD9wkjwF3sItjytOzk74NvFmq98OqzZb/XZQ/z3zRUk1G9Zgz7Z9CfOUUtRq6IX/ykdDRTJkzMCbubID5oNB5VoVuHjmki3CT2bWzPnUrt6C2tVbsHHdJlq2agxAGc+SxMbeITrpgSvqGnfu3KWMZ0kAWrZqzMZ1gcnW60h/zJyHT7Xm+FRrzoa1m3i/lXl0URnPUtyOvU10lPUbZ3TUVf668xdlPM2dlvdbNXlqThkypCdjxgwAVPeqTJzJxKmTZ22QzSOval4P2WLfAtjmv5MylT0AKFe1LOdP2fZDw6H9R8lfMC9v5c2Ns7MTjZrVJWC99fCvgA2baWHZ1+o19mXn1t3m6euDadSsLunSOfNW3tzkL5iXg/uOEB4WSWnPkqTPkB6AytUrcPaU9ZkwRzl58BS587vjkscFJ2cnvBrXIMQ/5JmWdXJ2YuiMIWxauomta7fZONInO7z/GPkK5iF3XnecnZ2o36w2QRu3WrUJ2riFJh+YzyDUaeRNyDbzhcO587onXOjo/pYrBd7O59Bx8q+6YwdOkKfAW7jnccPJ2YnaTWqxZaP162fLxm00fN98rKjV0ItQy7Fi5+ZdFC5aiNcymK9vKFPRg3OnLtg7BbvQWtvtx1HS6gK+BcAMIAdQAygBfKuUmqu1vqOUyg08eMZ1nQDclVLltNahlkpz0qrvRqCnUqqn1lorpUpbKupWlFIlgSGYO9AAfpjHZ0+wzPfQWh9QShXSWh8GDiulKmGuvF8GnnSFxRagq1JqFpAdqA58bZn3J7AbiNRaH7U8V0HgnNb6J8vvJYE07/2ZTCa+G/QjP86bgMFoYM2C9Zw/dYHOX3/EiYMn2eq3g9Xz1zHsp4Es3j6X2JhYhnw6ImH50hVLER1xlfBLj8YdZsiYngl/jiZdOmcMRgN7t+9n+exVaR36U23y24K3b3W271vPvXt/0+ezwQnz/LYspXZ188ijAV+O4PtfRpE+/WsEBWwj0N/8RlS3QS1GjhtI9hzZmb3wF44ePsmHLc13fwg56EemzJlI5+xM3fretG7RhdN26LwF+AVTy7c6Ifs3cu/u3/T+7NFt7AK2LsOnWnMA+vX5hh9/GUP6DK8R6L+VTf5bAKjX0IdR4wbxZo7szFk0jSOHT9C6RWdy5MzO/KUziY+PJzIimp5d+9k8l1c9L1vsWwA/j/yVYZMH8sU3Pbh5PYaRfcbZPI9h/cYwe/FUDEYDi+et4PTJs3zRvzuHDxwlYEMwC+cs5/upowgKXc2tmFh6duoLwOmTZ1m70g+/HcsxmUwM7Tua+Ph4Duw9zPpV/qwJWkBcnIljh08wf9YSADp2aUOXnh3JmetN1m9dzGb/bfTv/c2TQkxT8aZ4fh4yldFzRmIwGvFb6MfFU5do/2U7Th06RYj/LoqUKsLQGUPInDUTFX0q0L5PW7r4dKN6w2qUqFCcLNky4/ue+eZX3/WZxLlj5+wW/0Mmk4mR/Scwc+FPGIwGls1bzZmT5+jZrwtHDhwnaONWlsxdxbifv2HDrqXcuhnLl13NtyQtW6EUnXt24EFcHDo+nhH9xhNjucD2u2nfUr5KWd7I/gZBB1YzZfwMls6z//H9WXw9bCyh+w8RExNLraZt6f5JO1o0quPosJIxmUxMGPg9k+dPxGg0sGrBWs6dukDXrz/h+METbPHbzsr5axkxeTDLd8wnNiaWgd2GA//f3n3HWVGdfxz/fHdZmgiIIEVREbELFlBElCKIGoQY3nv3OQAAIABJREFUNWKJvccWozEaDKJGo0YTfyb2buwtEGwgSAdpCtg1ioWOdAVpz++PM3cbCyr37h1m9nnzuq/dmTvcfc7uLWfOPOc5sGzJcp6871kef+0BMGPM0PGMGRrmN1zS9wJ6HNONmrVq8srkFxnw1CDuv/2RGFvqfoxy1cOXNB1YYGZdou1LKencLgdOIYxcDzKzvaJjrgDqmNl1kh6N7ntBUjvgLsLI8gpCmkdb4Aoz6xlNlvwHId9ZwIxof2dgAPA5UBuYB9xqZv+Nfl5D4F/A7oQTjJFmdr6kuwi53WuBD4DTgXXA64QTh0cJaTBtzSwziVLArcCRhJH3G83s2VK/j9eB/5jZvdH21dHvYDUwBzipVOpJhdo367wZZxNvmq9XzP/xgxJora2LOwT3E+1Ye+OTK5No7g+L4g6hUuyyCSlzSfDVD+mrEDHtg2fiDqFSHLT3aXGHUCkmzR6Vv5quG3BAs0556+NMmDUilvbmrJPtSkiqDUwH9jOzTa7H5Z3s5PBOdnJ4Jzs5vJOdHN7JThbvZOfHZlMnOy2iBXU+Au7KpoPtnHPOOZdWlsd/cdlsF1VJqmhBnQ1VOnHOOeecc1WAd7Kdc84551xeVYV0ZU8Xcc4555xzLsd8JNs555xzzuVVnCsx5ouPZDvnnHPOOZdjPpLtnHPOOefyynOynXPOOeeccz+bj2Q755xzzrm88pxs55xzzjnn3M/mnWznnHPOOedyzNNFnHPOOedcXsW53Hm++Ei2c84555xzOeYj2c4555xzLq/WeQk/55xzzjnn3M/lI9nOOeeccy6vPCfbOeecc84597P5SLZzzjnnnMsrz8l2zjnnnHPO/Ww+ku2cc8455/LKc7Kdc84555xzP5uPZG/GBu2dvrO8fSYq7hAqxQ+rV8cdgvuJnt+2MO4Qcu74mVvFHUKl6FywddwhVIoH182NO4ScO2jv0+IOoVKMm/5Y3CGkludkO+ecc8455342H8l2zjnnnHN55TnZzjnnnHPOuZ/NR7Kdc84551xeeU62c84555xz7mfzTrZzzjnnnHM55ukizjnnnHMur3zio3POOeecc+5n85Fs55xzzjmXV2br4g6h0vlItnPOOeecq9IkHSHpY0mfSfpjBffXkPRsdP/bknb8scf0TrZzzjnnnMurdVjebj9GUiHwL+BIYA/gREl7lDvsLGCRme0M/B245cce1zvZzjnnnHOuKjsA+MzMPjezVcAzQO9yx/QGHou+fwE4TJI29qDeyXbOOeecc3llZnm7STpX0qRSt3PLhbMt8HWp7W+ifRUeY2ZrgCXA1htro098dM4555xzqWVm9wP3b+SQikaky+eZ/JRjyvBOtnPOOeecy6ufkiudR98AzUttbwfM2sAx30iqBtQDFm7sQT1dxDnnnHPOVWUTgVaSWkiqDvQBBpY7ZiBwWvT9ccAwM/ORbOecc845t/n4kf5pXpnZGkkXAW8AhcDDZva+pOuBSWY2EHgIeELSZ4QR7D4/9rjeyXbOOeecc1Wamb0KvFpu359Lfb8SOP7nPKZ3sp1zzjnnXF6t24xGsiuL52Q755xzzjmXYz6S7Zxzzjnn8so2r+oilcJHsp1zzjnnnMsx72Q755xzzjmXY97JTrmitgdQ/8En2OqRJ6n165PWu79G9yNo8OwA6t/9IPXvfpAaR/yi+L7aZ51P/fsfpf4Dj7PFBZfkM+wyrr/5akZPepUho15ir9a7V3jM3m324M3RLzF60qtcf/PVxfvr16/LUy89wKiJr/DUSw9Qr15dAA4/sgtDRr3EGyNe4JWhz9LuwH2L/8+frrucoWP/w1vjB5Z5rMry19uuZfLUoYweP4jWbfas8Jg2++zJmLdfYfLUofz1tmuL919z7WWMHj+IkWMH8uKAR2nSZBsA6tWvyxNP383o8YN4c/iL7L5Hq0pvx8Zk08aMiy45i0XLP6PB1ltVdrg/Sc2D2tHkhUdp8tLjbHna+pWcavfsQbPBL9L4yfto/OR9bNH7qDL3a4vaNH3lWepfeXG+Qq5Q+84H8Oyox3l+zJP85qL13yOKqhdx471/5vkxT/LQoLtpul0TAHoc043HhzxYfBv7zTBa7bkzANWKqvHHW3/Pc6Oe4JmRj9PlqEPz2qbydurUmnOH3cb5I26n/QVHr3d/u7OP5Jw3b+Gs12/ixKeupu62JSsld7m6D2cP+SvnDL2F7tf9Jp9hr+fQrh0YMv4lhk0YwHmXnL7e/dWrF/F/D/6VYRMG8OIbj7Ft86YA1N+qHk/+5z6mzRhNv79eVeb/FBVV4y939OXNt19m8LgX6dGzaz6aUsZBXQ7gxVFP8vLYpzntopPXu7+oehE33XsdL499mkdfua/4OQiw8+4tefi/9/Ds8Md5ZtijVK9RHYAL/3gOgya9wMjP3shbOzZV35vu4NBf9OGXp5wfdyh5lc9l1eOSyk62pEaSVks6r5Ie/3pJ3bJ8jOW5imeDCgqo89vLWNr3Dyw65zRqdDmMwu13WO+wH0YOY/GFZ7P4wrP54fVXAKi2x54U7bkXi88/k8XnnU61XXajqPU+lR5yeV27HUKLltvTse1RXPW767j59vU7XwA3/+1a/vC7/nRsexQtWm5Pl24dAfjtZWczZsR4Dmn3C8aMGM9vLzsLgNEjx9P9kF/Ro9NxXHHxtdx2Z38A9j9gH9oeuC/dO/6Kwzr8kjb77clBB7ertPZ1P7wTLVvuyP5tDuOyi/ty+z/6V3jc7f+4nssu7sv+bQ6jZcsd6dY9dFru+seDdGzfk0M79OKN14fxh6svAuD3V1zA9Gkf0rF9Ty4490puvrXi31s+ZNtGgG23bUrnrh35+quZ+Qp74woK2OoPlzD/0quZ8+szqX14V6q1WP+19f2Q4cw9+Tzmnnwe3w0oUxmKeuefwQ9TpuYr4goVFBRwxU2X8ruTr+LEzqdxeO+u7NiqbDt6nXgUSxcv5/iDT+bpB17gt33PBeCNl9/k1O5nc2r3s+l/8V+Y/fUcPn3/MwBOv/QUFi1YzK8P+Q0ndjqNKePja6cKxOE3nMZzp93K/d3+wB692rN1q2Zljpn7/gwe6XktDx1xDR+9OoEuV58IwLb7t2K7trvwUI+rebD7H2naZie2b1/xiX5lKygo4LpbruLMEy6mx8HHcvSvjmDnXVqUOeb4k3/JksVL6XpAbx6590mu6ncpAD/88AN33HwPN1/39/Ue98LLz+bb+QvpduAx9OhwHBPGTslLezIKCgq46qbLueTkKzi+02/o8ctutNhlxzLH9D7xFyxbsoxjOpzIU/c/x8V9Q2e0sLCQG/55LTdf9TdO6Hwq5x17CWtWrwFg5OAxnHZUpXQBcu6XR3Xn3jtujDsMVwlS2ckm1DEcD5xYGQ9uZn82szfL75dUWBk/b1NV23V31s6aybo5s2HNGn4YPozqB3X8af/ZQNWrQ7VqUFQE1QpZt2hR5QZcgcOP6sILz4RFl6ZMmkbduluyTeOGZY7ZpnFD6my5BVMmhg/yF54ZSI+jwmjM4Ud24flnBgDw/DMDivd//92K4v9fa4taxdMvzIwaNapTvXoR1WtUp1q1IubP/7bS2ndUz2488/TLAEya+C716tWlceNGZY5p3LgRW9atw8QJ7wDwzNMv84ujuwOwbFnJudoWtWsXn7HvutvOjBw+FoBPP/mc7bffjkbbbE0csm0jwF9u+RPX9b1ls1m8oPqeu7H665msnRleW98PeYtanTr85P9ftFsrChtsxcq3J1dilD9uj31345sZM5n11WzWrF7DkAHDOLTHwWWOOaTHwbz6/OsAvDVoBG077r/e43T/5WEM+c/Q4u2j+xzFY3c9CYTX1JKFSyqxFRvXbJ+WLJoxl8Vfz2fd6rV8+N/x7NK9bBu+Gvcha1auAmDWO59Rt2mDcIcZhTWKKCyqRmH1IgqqFfLdgnja0ma/vfjyi2/4+suZrF69hkEvv0G3IzuXOabbkZ156ZlBALw2cCgHHRIGCFZ8v5LJb7/LqqiNpR1/Ui/uufNhIPytFi1cXLkNKWfPfXfn6xkzmRk9BwcPGEqnHmU/pzodcQiDngvPwaGDhnPAIeHv175TOz798H98+sH/AFiyaCnr1q0D4L0pH/DtvMp7786ltvvsTb26W8YdRt6tw/J2i8uPdrIl/UHSJdH3f5c0LPr+MEn/lnS4pHGSpkh6XlKd6P4/S5oo6T1J90tStH+4pH9IGhvdd0C0v4Gk/0iaJmm8pNbR/uskPRz9v89LxbKFpFckTY0e54RSYZ8I/B7YTtK2pdpyRBTnVElDo31bSxos6R1J90n6UlJDSTtKeq/U/71C0nXR949KOi76fkbU1tHA8ZJaSnpd0mRJoyTtFh3XIvo9TZR0wyb9tX6mgq0bsm7+vOLtdQvmU9Cw4XrH1Ti4E/XveZgt+/anoFHo/Kz58H1WTX2HBk+/RIOnX2L15Ims/frLfIRdRpOmjZk1c07x9uxZc2nStPF6x8yeNbfCYxpuszXz5i4AYN7cBWzdqEHxcUf84jCGjx/I48/cze8vDiO9UyZOZezoiUz+8C2mfPgWI4aN4bNPPq+09jVt2piZ38wu3p41aw5Nm5VtX9NmZX8Hs2bOoWmp30Hffpfz3kejOP6EXtx0450AvDf9I3r26gHAfvu3pvn2zWjWrAlxyLaNRx51GLNnzeG99z7KT8A/QWGjhqydO794e+3c+RQ2Wv+1VbvrITR+6gG2/ms/CjMnFhL1Lzufxf93X77C3aBGTRoxb1ZJO+bNnk+jpo3WO2ZudMzatWtZvnQ59RrUK3NMt15dGPyfYQDUqVsHgPP+cCaPvXE/f7nvOho0jC/Fp06TrVg6e2Hx9rLZC9myyYbjaXNCJ/43PJywz5zyGV+N+4CLJ/6Tiyf+k89HTufbz2ZVeswVady0EbNnlbxG5syaR+Om25Q5pknTRsyOXkdr165l2dLlbNWg/gYfc8vob/W7qy9kwLAnueuhW8q8R+bDNk0aMXdmyefUvNnz2aZJuYGUJg2ZOyscE56D31GvQT22b9kczLjr6dv59+CHOPXC9dOdnIvTTxnJHgkcEn3fFqgjqQjoCEwH+gLdzGw/YBJweXTsP82snZntBdQCepZ6zC3MrANwIfBwtK8/8I6ZtQauAR4vdfxuQA/gAKBf9POPAGaZWZvoZ7wOIKk50MTMJgDPASdE+xsBDwDHmlkbSlbt6QeMNrN9CevSb/8TfiflrTSzjmb2DHA/cLGZ7Q9cAdwdHXMncI+ZtQPmbOBxkHSupEmSJj1eqmOyScJ5TVnlTuhWjR/LwtNOYPEFZ7L6ncnUueIaAAqabUu15juw8OTjWXjScRS12Y9qe7XOLp5NoAraUH4086ccU5HXXxlK5/a9OOuUS7gySrPYsUVzWu2yE+32Ooy2e3bl4EMP4MCD1h+5y5VNb1/J9zf2v4O9djuE558dyDnnhZzRf9xxH/Xr12Xk2IGce/6pTJv6AWvXrM1t8D9RNm2sVasml195ATff+I9Ki2+TVPDSolybVo4ax6xeJzP3pHNYOWEyDfqFXNg6x/Vi5ZgJZTrpcanoLaJ8Oyp8Gyl1zJ777s7KFT/w+cdfAFBYrZDGzbZh2sT3OK3Hubw3+X0u/vMFuQz7Z1EFf6wNvT3seczBNNl7J96+L6TNbbVDY7beeVv+2f4S/nngxezYYQ+aH7BrZYa7QRW9RtZryM98L6xWrRpNt23C5LffpXfXk3ln0jSu7v+7bEP9eX5CszbwJKSwsJA2B+xN399ez1m9L6TzkYfQroIrLW7z5DnZwWRgf0lbAj8A4wid7UOAFcAewBhJ7wKnAZmEvi6S3pY0HegKlJ7t9DSAmY0E6kqqT+i0PxHtHwZsLSkzXPKKmf1gZguAeUBjQge/m6RbJB1iZplreH0InWuAZyhJGWkPjDSzL6KfkRnaOBT4d7TvFWBTciKeBYhG8TsAz0e/j/uAptExB2fanWlnRczsfjNra2ZtT92u6YYO+0nWLZhPQaOSkY6Cho1Y9+2Csj9v2VJYvRqAla8NolqrXQCo0eEQVn/0AaxcAStXsGrS2xTtXvGEtVw77aw+vDHiBd4Y8QJz58yj2bYlI7BNmzVm7px5ZY6fXW5ktPQxC+Z9W5xesk3jhnw7fyHlvT1uMju0aM5WDepzRM9uTJk0le+/W8H3363grTdHs1/b3J5cnH3uKYwcO5CRYwcye/Y8ti31d27WrAlzZpdt36yZc8r8Dppt24Q5c+ZS3gvPDaRX7zB6vWzZci664I8c2qEX559zBQ0bNuDLL7/JaTs2JldtbLHT9uywY3NGjRvE1PeH02zbJowYPYBttll/1Dif1s5bUDIyDRQ2bsTaBWUvTa9bUvLa+u4/r1J99zD5tHrrPajz6940HfAk9S89jy2O6k69i87OX/ClzJs9n22albRjm6aNmD9nwXrHNI6OKSwspE7dOixdtLT4/m69u5ZJFVmycAkrvl/B8NdGAeHy/q57xzfxdtmchSXpH8CWTRuwfO76b/M7HrwnHS7qxQtn38HaVSGvd5cj2jLrnc9Y/f0PrP7+B/731lSa7btz3mIvbc6seTQtdTWqSbNtmDtn/vrHRK+jwsJCtqxbh8WLNpzesmjhYr7/bgWDX3kLgNcGvMmerXerhOg3bN7s+TTetuRzapumjZg/t6LnYDgmPAe3YMmipcybPZ8p46ayZOESfljxA2OGjWe3vXfJa/zObcyPdrLNbDUwAzgDGAuMAroALYEvgCFmtk9028PMzpJUkzCCe5yZ7U0YQa5Z+mHL/xg2MDYUff2h1L61QDUz+wTYn9DZvllSZn35E4HTJc0gjEy3kdQqevwNnc5UtH8NZX8/NSs4JuO76GsBsLjU72MfMys9Syavp1NrPv6Iwm23o6BxE6hWjRqdu7Jq/Jgyx6hByYdP9fYHs/arkBKydv5cilq3gYJCKCykaO82xfdVtsceeoYenY6jR6fjeP2VYRzXpxcA+7VtzbKly4vTPzLmzV3A8uXfF3eGj+vTi8Gvhg+NIa8P5/g+vQE4vk9vBr8W9u/Yonnx/9+r9e5ULypi0cLFzPxmNu07tKWwsJBq1arRvkNbPs1xusiD9/+bQzv04tAOvXh10BD6nHgMAG3b7cPSpcuYW26Ec+7c+Sxf9h1t24WJp31OPIZXB4UpATu1LJmkdsQvDuOTKNa69bakqKgIgFNPP4GxYyaWyd+ubLlq4wfvf8IuLQ6kzZ6dabNnZ2bNnEOnjr2ZN2/Bej8zn1Z98BFF229LYbPw2qrdvQsrRo4tc0zB1iWvrVqHHsTqL74CYOG1NzP76JOY3ftkFt95H9+9OoQl/3wwr/FnfPjuxzRvsR1NmzehWlE1uvfuyqjBZdsxavBYjjr+CAC69OzEpNElE+MkcVjPzgwZMKzM/xk9ZBz7dQh/y3Yd9+eLT/KfapYxa+rnbNWiCfWaN6KgqJDdj27Pp0PKTu5rvOcOHHHzmbxw1h18/23JCcTSmQtofuBuqLCAgmqFbN9+99jSRaa98z477tSc7bZvRlFRNXoe04Ohr48oc8zQ10fwqz7hovGRvQ5j3KiJP/q4wwaPpH3HtgB0OPQAPvu48tLjKvLBux/RvMV2NGvelGpF1Ti892GMfGN0mWNGvjGanr8Oz8HDenZmYvQcHDf8bVrt0ZIatWpQWFjIfu334fNPZuQ1frfp1pnl7RaXn7ri40hC6sOZhE7tHYQR7vHAvyTtbGafSaoNbEcYbQZYEI3uHge8UOrxTgDektQRWGJmSySNBE4GbpDUGVhgZksrvEQGSGoGLDSzf0eVOk6XtCshFaV0HnZ/wuj2vVGsLczsC0kNotHszM+9UdKRQCZZby6wjaStgeWEdJfXN/ZLiuL9QtLxZvZ8lIfe2symAmOiOP4d/bzKt24ty//1D+rd9DcoKGDl4FdZ++UMap96Jms++YhV48dSq/exVD/oYFi7lnXLlrH89r8CsGrUCIra7Ef9+x4BM1ZPmsCqt8f+yA/MvWFDRtK1+yGMnvwaK1es4PKLSqpkvDHiBXp0Og6Aa664gTv+dSM1a9Zk+JujGPZmGEX75z8e5N6Hb6fPKb9i5jezOf+MkM101NHdObZPL9asXsPKlSu54KwrAHhlwGAOPuQA3hzzMmbG8KGjefONEVSWwW8Mp3uPzkyZNowVK1bw2/NLymuNHDuQQzuEE4zfX/Zn7r7vVmrWrMmbQ0YwZHCIqd/1V9Kq1U6sW7eOr7+axeWXht/PrrvuzD3338badWv5+KPPuPjCyi9FuCHZtnGztHYdi269i0b/dwsqLGD5wNdY8/mX1D3vdFZ9+DErR45jyz7HUOvQDtiataxbuoyF/W+NO+r1rF27lr/96U7ufOo2CgoLGPTMa3zxyQzOufIMPpr6MaMGj+W/T79Kv/+7hufHPMnSxUu59oLri///vu3bMG/2fGZ9VTa17V833ke/u67hd/0vYtG3i7nx8lvy3bRitnYdQ/78GH0e/wMqLGDacyNY8OlMDrn8WGZP+4LP3pxCl2tOpHrtmhxzdyhVunTWt7xw9h189OoEduiwJ2cPvhkMPh8xjc+GvhNLO9auXUv/P97Co8//i4KCAl54aiCffvw5l/3xfKa/+wFDXx/Jc0/+h9vvvoFhEwawePESLj2n5HU/Ysog6my5BUVFRXQ/qjOnH3chn33yBbf0/z9uv+cG+t54BQu/XcQfLr4u7+267Zq/c9fTt1NYWMDAZ17h809mcN6VZ/Hh1I8YOXgMA55+hevv6svLY59m6eKlXHN+iHHZkuU8ed+zPP7aA2DGmKHjGTN0HACX9L2AHsd0o2atmrwy+UUGPDWI+29/JK9t+6mu7PdXJr4zjcWLl3LYL0/hwrN+w7FH94g7LJcD+im5KpIOI3Qw65vZd5I+Ae41szskdQVuAWpEh/c1s4GSbiR0KmcAXwNfmtl1koYTUk46AXWBM81sgqQGwCNAC+B74FwzmxZNNlxuZn+LYnmP0OHdFbgNWAesBi6I9tc0sz+Wir018IyZ7RF1om8ijDjPM7PuUSf6aaAhMAL4FbC/mS2IJlleQhixnwnMiNrwKDDIzF6IRszbRqksSGoB3ENIEymKfvb10f6nCCc2L0a/pzob+70v6NFp8yilkEP7TEzGbO+f67tVK+MOwf1E03Zfv9Re0h0/M558+8rWu2i7uEOoFA9+90HcIeTcVkVbxB1CpRg3/bG4Q6gURQ13qngEM4+2qrNz3vo4i5Z/Fkt7f1InO6c/MHSyrzCzSXn9wT9R+U5znLyTnRzeyU4O72Qnh3eyk8M72cninez8+KnpIs4555xzzuVEnPWr8yXvnWwz65zvn/lzmNmOccfgnHPOOeeSzUeynXPOOedcXm0uK/hWprQuq+6cc84551xsfCTbOeecc87lVZz1q/PFR7Kdc84555zLMe9kO+ecc845l2OeLuKcc8455/LKqkAJPx/Jds4555xzLsd8JNs555xzzuWVT3x0zjnnnHPO/Ww+ku2cc8455/LKF6NxzjnnnHPO/Ww+ku2cc8455/LKq4s455xzzjnnfjYfyXbOOeecc3nlOdnOOeecc865n81Hsp1zzjnnXF75SLZzzjnnnHPuZ/ORbOecc845l1fpH8f2kWznnHPOOedyTlUhJ8b9OEnnmtn9cceRS2lsE3i7kiSNbYJ0tiuNbYJ0tiuNbYL0tqsq85Fsl3Fu3AFUgjS2CbxdSZLGNkE625XGNkE625XGNkF621VleSfbOeecc865HPNOtnPOOeeccznmnWyXkcY8sDS2CbxdSZLGNkE625XGNkE625XGNkF621Vl+cRH55xzzjnncsxHsp1zzjnnnMsx72Q755xzzjmXY97Jds4555xzLse8k+2cc84551yOeSe7ipK0haSCUtsFkmrHGVOuSdpKUuu448gFSbUlXSvpgWi7laSecceVDUkHS9oi+v4USXdI2iHuuHJBUi1Ju8YdRy6ltE2NJT0k6bVoew9JZ8UdV7YktZRUI/q+s6RLJNWPO65spLFNLv28k111DQVKd6prA2/GFEvOSBouqa6kBsBU4BFJd8QdVw48AvwAHBRtfwPcGF84OXEP8L2kNsAfgC+Bx+MNKXuSjgbeBV6PtveRNDDeqLKTxjZFHgXeAJpF258Al8UWTe68CKyVtDPwENACeCrekLKWmjZJWiZp6YZuccfncsc72VVXTTNbntmIvk/DSHY9M1sK/Ap4xMz2B7rFHFMutDSzW4HVAGa2AlC8IWVtjYUaor2BO83sTmDLmGPKheuAA4DFAGb2LrBjjPHkwnWkr00ADc3sOWAdgJmtAdbGG1JOrIvacgzwDzP7HdA05piylZo2mdmWZlYX+AfwR2BbYDvgKpI/eOJK8U521fWdpP0yG5L2B1bEGE+uVJPUFPg1MCjuYHJolaRagEG4dEoY2U6yZZKuBn4DvCKpECiKOaZcWGNmS+IOIsfS2CYI74NbU/K6ag+koZ2rJZ0InEbJ+2DSX1tpbFMPM7vbzJaZ2VIzuwc4Nu6gXO5UizsAF5tLgeclzYq2mwInxBhPrvQnXP4dbWYTJe0EfBpzTLnQj3CpvrmkJ4GDgdNjjSh7JwAnAWea2RxJ2wO3xRxTLrwn6SSgUFIr4BJgbMwxZSuNbQK4HBgItJQ0BmgEHBdvSDlxBnA+8Bcz+0JSC+DfMceUrTS2aa2kk4FnCCd6J5KOKyku4is+VkHRhMf2wERgV0LawUdmtjrWwHJA0sFmNubH9iVRNOLWnvD3Gm9mC2IOKWuSmhDSEAyYaGZzYg4pa9EE4j8Bh0e73gBuNLOV8UWVnTS2KUNSNUreBz9Ow/tgGkUTvV81s3Vxx5IrknYE7iQMmhgwBrjMzGbEF5XLJe9kV1GSxpnZQT9+ZLJImmJm+/3YvqSRdAwwLHPJPppV39n12AUsAAAdKklEQVTM/hNvZJtO0tnAn4FhhA5OJ+B6M3s41sBclSHpt8CTZrY42t4KONHM7o43sk0jaTpR6ktFzCyx1ZYk/Zsw8ftFwnybD2MOybkf5Z3sKkpSf2Aa8JKl4Ekg6SCgA6EywN9L3VUXOMbM2sQSWI5IetfM9im37x0z2zeumLIl6WOgg5l9G21vDYw1s0SXiZM0BDi+XMftGTPrEW9kmy6NbYL0va5+rASmmX2Zr1gqg6S6hJSKMwgnE48AT5vZslgD20SSdiFUWWpsZntFJWd7mZlPfkwJn/hYdV0OPE+YULc0U1Io7qCyUB2oQ5hnsGWp21LSkWNZ0Ws16XMqvgFKfzguA76OKZZcapjpjAKY2SJgmxjjyYU0tgmgQFJxlZ5o8m31GOPJipl9ubFb3PFlK6oc9SIhh7kpodLIFEkXxxrYpnsAuJqSqlHTgD6xRuRyKukf0m4TmVkaSqUVM7MRwAhJj6bhw6QCk6J63/8ijOBcDEyON6SszQTeljSA0KbewARJlwOYWVLrm6+TtL2ZfQXFo4tJv1qUxjZByC1/TtK9hPacT1QLPIkkLaPiv4sAi8rGJVJUq/1MoCXwBHCAmc2L5gt8CNwVZ3ybqLaZTSh1ngewJq5gXO55J7uKikZvTgZamNkNkpoDTc1sQsyhZauGpPsJNXyLn99m1jW2iHLjYuBa4FnCB+Zg4LexRpS9/0W3jAHR16SfAP4JGC1pRLR9KHBujPHkQhrbBKEu8XnABZS8rh6MNaIspG3wpJzjgb+b2cjSO83se0lnxhRTthZE5VgzJSSPA2bHG5LLJc/JrqIk3UNYgKGrme0e5VgONrN2MYeWFUlTgXsJo7zFpZDMLOmjvi5BJDWkpBLMuJRUgkldm9JGUl0zWxqteLseM1uY75hySVJjIPMZNcHM5sUZT7aiErP3E+YTLQK+AE5O6dXYKslHsquuA81sP0nvQMixlJTYXMRS1kQF/VNFUiPC0uN7AjUz+5M8Qi/pLSq4tJ3kNpVSA1hIeI/dQxLlR+ASKHVtknQwYTXLHQjtyqRV7BRnXFl4CuhJGGQwyq4Ka0BS24Wk44G/AcMJ7bpL0pVm9kKsgW2iqJRuWzPrJmkLoCCpEzjdhnknu+paHU3yyVymakS0tHDC/VfShcDLlFoRMekjOMCThFSRnoS80dOA+bFGlL0rSn1fk7DSWeLzESXdQlho531KXlMGJLZDmsY2RR4Cfke5K19JZWY9o68tyt+3odHtBOkLtMuMXkefWW8Ciexkm9k6SRcBz5nZd3HH4yqHp4tUUdEqUycA+wGPESpw9DWz52MNLEuSvqhgd5JHpgCQNNnM9pc0LVPrVtIIM+sUd2y5lIY2RaUJW5tZ0pe9L5bGNgFIetvMDow7jlyR9KCZnV3B/u2A181srxjCyglJ081s71LbBcDU0vuSRtK1wArCAEpxRzsFg0Iu4iPZVZSZPSlpMnAY4dLbL9NQ3L+iEZyUyKxCN1vSL4BZwHYxxpO1ciNrBcD+QJOYwsmlz4EiSl1JSYE0tgngLUm3AS9R9srXlPhCykpRtGjLqZmVESXtAbwC9I81suy9LukN4Olo+wTg1RjjyYXMhM3Sk9gTndbjyvKR7CpGUk1CusHOwHTgITNLwyX6rmY2TNKvKrrfzF7Kd0y5FC0pPApoTihVVRfob2YDYw0sC9FVh0ze6BrCpJ/rzWx0rIFlSdKLQBtgKGU7bpfEFlSW0tgmKJ4XUJ4ldV5AVDXqPmArQr3lAwmjpOeb2StxxpYL0ft7R8J7xkgzeznmkJzbKO9kVzGSniWMio4CjgRmmNll8UaVPUn9zayfpEcquNvMLKklnlzCSDqtov1m9li+Y8mVNLYpzSTdSUgF3AH4tZmNjzmkrETzh94ws25xx5ILaR8UciW8k13FlM5rk1SNUAZpv5jDchsg6S42suhHkkcSJRUR6hMfGu0aDtxnZqs3+J+cy7Eo/ap81Z7r44to05V6vxBwEjCFsFALkPj3i4HAb8xsSdyxZMsHhaoOz8mueoo7MGa2ptxKU4knqR7Qj5KO2whCCkJS35gnxR1AJbqHkOd7d7T9m2jfehO3kkRSK+BmYA/KdtwSm2eZxjYBRCs91ga6EBahOQ5I8oJckzbwfRqsBKZLGkLZSYKJO3Ews37R1zPijsVVLh/JrmIkraXkDUpALeB7UrDsLhTnjr5HqJgCoePWxswqvCyXBFGpqh2Az8xscdzx5IqkqWbW5sf2JY2k0YQTvb8DRwNnEN5r+8UaWBbS2CaATLWeUl/rAC+Z2eFxx+bK2kDKkpnZ43kPJkck/bmi/Um9kuLW5yPZVYyZFcYdQyVraWbHltruL+nd2KLJkqSzgZsIy4+3kHRukic7lrNWUksz+x8Ur36W+FrFQC0zGypJ0cpt10kaReikJlUa2wShfBrA95KaAd8Cia1QJOm/bDy9rFcew8m1+mZ2Z+kdki6NK5gcKV0fuyZhHYTEV/lyJbyTXYVJ6gi0MrNHoiWTtzSziupMJ8kKSR0zFSqiFd1W/Mj/2ZxdBuxpZvOjTuiTQFo62VcSSqh9TriSsgNhhDTpVkY1fD+NFpuYCWwTc0zZSmObAAZJqg/cRshfNkLaSFL9Lfr6K0I5zH9H2ycCM+IIKIdOA+4st+/0CvYlhpndXnpb0t9Iz/u7w9NFqixJ/YC2wK5mtks0ivO8mR0cc2hZkbQPIVWkXrRrEXCamU2LL6pNJ2lK6Ymp5beTKuqwtSestLcroZP9URoWO5HUjjAaVR+4gVBu8VYzezvWwLKQxjYBSKqRec5JqkEYTVyZ9OehpJFmduiP7UsCSScSJnF2JFTFyqgLrElLxREASVsRihG0ijsWlxs+kl11HQPsSxi9wcxmSdoy3pCyZ2bvAm0k1Y22l8YcUra2k/R/G9pO4qQfKF5S+HYzOwhI5AnQRuxoZhOB5UQj85KOB5LcIU1jmwDGEUrdEXWsf5A0JbMvwRpJ2snMPgeQ1AJoFHNMm2osMBtoCJQe+V1Gwt87JE2nJL2nkPA38nzsFPFOdtW1ysxMkgFI2iLugLIh6UDgfqAlYZGdM9OwgiUhpaK0ybFEUTkGSzqWMNEsTZfUrgae/wn7kiRVbZLUBNgWqCVpX8KVFAijo7VjCyx3fgcMj1KxAHYEzosvnE0XzQH4UlI3YEV0gr4LsBvhvT7Jepb6fg0wNw2Lw7kSni5SRUm6AmgFdCeU5joTeMrM7oo1sE0kaRLhQ38k0As428x6xBtV7kiqaWYry+1raGYL4oopW5KWAVsQPlxWkvAKN5KOBI4Cfk1YZS+jLrCHmR0QS2BZSGOboLhSxemElLmJlHSylwGPpmExkCj9ZbdoM/GpWJImA4cQVrMcTyhR+L2ZnRxrYFmQ1GBj95vZwnzF4iqHd7KrMEndgcMJHzBvmNmQmEPaZGnNXc6QNA04N7NyWzQCfLOZ7RJvZC5DUhtgH8Ll3tKluZYBb5nZolgCy0Ia21SapGPN7MW446gMkvZi/brmSS53N8XM9pN0MaHaza2S3jGzfeOObVNJmgE0J8wdEmHOw1fR3Zb0OvTO00WqrChHb1SmYy2plqQdzWxGvJFtsvrllqgts52CkamTgYclDQeaAVsDXWONaBNFSyTXMrPl0XZ7oHp09ztmtiy24LJgZlOBqZKeyqxaGU1kap7Uzmga21TOdtH8jWXAA4Rc7D+a2eB4w8pONLG9M6GT/SpwJDAaSGwnG5CkgwjvhWdF+5Leh3kdGGhmr0LxlaNuZvb7eMNyueIj2VVUlF7RwcxWRdvVgTFm1i7eyDbNBpanzUjFMrWSfgk8QegQHGpmn8Uc0iaJylTNM7Nbo+0vCAsI1QSmmNlVccaXrehEqBehA/AuMB8YYWaXxxlXNtLYJihZ/EhSD+C3wLXAI0m/ChZNqGtDOGltI6kx8KCZHR1zaJtMUifg94TPqVuikqaXJXXyN4QUGDPbv9y+SWbWNq6YXG4l/SzQbbpqmQ42gJmtijraiWQpX55W0kOESZ2tgV2A/0r6p5n9K97INslhQOmTucVmdrQkUbZEV1LVM7Ol0UJCj5hZvyjdJ8nS2CYoycU+itCuqdHzMOkyEwTXRCP184BEpx6Y2QhgRGaSflQ5JbEd7MgCSX0J9cwNOIWwIJJLiYK4A3CxmS+pePUvSb2BxE6iy5BUQ9JJkq6R9OfMLe64cuA9oIuZfWFmbxBqTCd1tK2g3Az6qyBcbgDqxBNSTlWT1JQwWXBQ3MHkSBrbBDBZ0mBCJ/uNqIzpuphjyoVJ0SI7DxAqEk0BJsQbUnYkHSTpA6IVESW1kXR3zGFl60RC2b6Xo1ujaJ9LCU8XqaIktSSsHtiMMJrzNXBqUlMQMiS9DiwhfLAUL9FdfmUtFx9JHwIHlM+9llQPeNvMdqv4fyZDVD/6WmC0mV0YXda+zcyOjTm0TZbGNkHxokj7AJ+b2WJJWwPbJnXxqopI2hGom/Q2SXobOI6Qw7xvtO89M9sr3sic2zDvZFdxkuoQngeJnGxWXlrfdCW1IpRaLF8tIHGXgCVdDnQDzjezr6J9OwD3AEP9hMhVNkm7mdlHkiq8GmRmU/IdU65FVyozKzyOMLP/xhlPtiS9bWYHlq4oksmpjzu2TSVpCHC8mS2OtrcCnklT+dmqznOyqzBJvwD2BGpm0hDNLOmrTY2VtLeZJX2RgvIeAfoBfwe6EFbdS2TuqJndIel7YLRKFkFaDvzVzO6JMbSsSPpDVFbsLkpWcSuWxAlaaWxT5HLgXMquIJhhJLRyT4akvxLmPTwZ7bpEUgczuzrGsLL1taQOgEXzhy4hSh1JsIaZDjaAmS2StE2cAbnc8k52FSXpXsLKZl2ABwmX4RKdsxfpCJweVaz4gZIFTlrHG1bWapnZUEmysALadZJGETreiWNm9wL3puxKSuYDf1KsUeRWGtuEmZ0bfe0SdyyV5ChgHzNbByDpMeAdwoJdSXU+cCdhpc5vgMGEijBJtk7S9uWu6Hl6QYp4ukgVJWmambUu9bUOYXnrw+OOLRvRm9R6oo5pYkkaQ1jt7AVgGDCTMPK7a6yBZSGamHUqYcnn4hP+BI+OugSJ8q9PomRVxA8Jq94mfpW9qPJL50xbFFYWHJ6CwYZUkXQEcD8wItp1KHCemb0eX1Qul7y6SNW1Ivr6vaRmwGqgRYzxZCUqUwWhhnRFt6S7jHDl4RJgf0Kpp1NjjSh7rxI62NMJE1Uzt8SSdJqkKZK+i26TJCX675TSNu1OqNizP/AJ8CkhveI9SUmfeCvgb8A7kh6NRrEnAzfFG9mmk9RF0kuS3o9uL0jqHHdc2Yo60/sBzwLPAft7BztdPF2k6hoUjSTeRijvZIS0kaR6CuhJ+DAxyuYrGwmvEUtowxPADkBRtO8BQt3spKqZ9MVMSos6npcR8n2nEJ6D+wG3SUrkktZpbFPkBuBSM3uu9E5JxwJ/ARJbNcXMTNKlhDKf7Qh/s6vMbE68kW2aaO7QP4Hrgf6UPAcflnRRZrXEpDKzBYTP45bA+ZL6pHHyflXl6SIOSTUIHZ4lcceSLUlPACMJS8Z/FHc8uSLpY+BKwqhvcR3fJKfBSPodYcLjIEL+PABJvVwvaTzQx8xmlNu/I6FiQPsYwspKGtsE4fW0oVSrjd2XFJL+BTxqZhPjjiVbCquNXmpmU8vtbw3cZWadYgksB6La8ycQ0pZaEypIvZTCiftVlo9kVzGSfrWR+zCzl/IZTyV4hDD58a6olu87hA73nfGGlbX5ZjYw7iBybBXhSsqfKJnsk+SrDnXLd0YBzGxGqXSmpEljmwC+28T7kqILcJ6kLwntSfIE8CblO9gAZjZNYbn4xJF0DmHRme0IaSJnAwPMrH+sgbmc80521XP0Ru4zINGdbDMbJmkE4TJpF8KM9L0Is9KTrJ+kB4GhlB31TfLf63Jg5+hyaRqs2MT7NmdpbBPANlG99vJEWHUv6Y6MO4AcSuMJ0b+AccBJZjYJQJKnFaSQd7KrGDM7I+4YKpOkocAWhDewUUA7M5sXb1Q5cQahCkIRJekiST8peh/4Pu4gcmj3qKpDeSK5o/NpbBOE+QxbbuC+JM9NAZKdRlaBlpIquoqX5OdgM+B44I5oNP45SubauBTxnOwqRtKBhJJBLQn5vWeaWdIL+heT9HdCxYAfgDGE/OxxZpbkUTckTTezveOOI5ckvUxYDOktyo7OJ7KE34bKR2YkseOTxja5ZJG00ZxrMxuxsfs3d5K2A/oQ0kdqAy+b2TXxRuVyxTvZVYykSYQFCUYCvYCz07iEa1T3+wzgCkJOX42YQ8qKpAeAv5vZB3HHkiuSTqtov5k9lu9YcknSkWb2Wrl950cL8CRalIdduqZ5IiepZkjaBbgHaGxme0WT6XqZ2Y0xh+YqIKkWsL2ZfRx3LJUhej6e6LnZ6eGd7CpG0hQz229D20kn6SLCoi37A19SUmlkWKyBZUnSh4SrD2lbyTJ1JI0F+maec5KuIiwMktg8WUnnEUqoraDUJFUzS+rlegCi+RtXAveZ2b7Rvve8hNrmR9LRhPrf1c2shaR9gOvNrFfMoW0ySccDr5vZMkl9CaUJbzSzKTGH5nLEc7KrnvrlKoyU2U74RDqAWsAdwGQzWxN3MDl0RNwB5JqkL6hgCeGkd9wIV4gGSbqS8HfbLdqXZFcAe6ZokmpGbTObENZvKZam9400uQ44ABgOYGbvRqUkk+xaM3teUkegB+Ek4h7gwHjDcrnineyqZwRlK4yU3k76RDrM7La4Y6gMKc19bVvq+5qEiUANYoolZ8xsgaRewJuExZGOs+RfMvwf6ZqkmrEgWgTEACQdB8yONyS3AWvMbEm5E6KkWxt9/QVwj5kNkHRdjPG4HPN0EefcZkPSaDPrGHccm0LSMkpWGzWgOmFU1AipFYmtKy1pX0IN+rdJwSTVjKiW/v1AB2ARIR3rlIpqg7t4SXqIUML0j4QVOS8Biszs/FgDy4KkQcBMoBshxXEFMMHM2sQamMsZ72RXUdEqj8cCO1J2ItP1ccXkqhZJpecCFBBGti/wD5jNj6QJwGjWX3E00ZNUMyRtARSY2bK4Y3EVk1SbsHDV4YQT2TeAG8xsZayBZSFq0xHAdDP7NFoBcm8zGxxzaC5HvJNdRUl6HVhCuJyduWSFmd0eW1CuSpH0FiU52WuAGcDfzOyT2ILKQrmThvUkeTKTpLFm1iHuOHJlAwvRFDOzO/IVi6vaJBUCjSk72PVVfBG5XPKc7KprOzNL3WQ6lyhHsv7VlD6EKhZJtLETVAO65iuQSvCWpHOB/1I2XSSpJfwyC9HsSlgdNrPYydGEikRuMyHpv1QwQToj4dVFLgb6AXMpu8iYV41KCR/JrqIk3Q/cZWbT447FVU3R1ZTFwBT8aspmLaoEU14aSvgNBo7NpIlI2hJ43gcgNh9pXoxG0mfAgWb2bdyxuMrhI9lVV0fg9OjD0+suuzik9mqKpL2APQhVUwAws8fjiyg7ZtYi7hgqyfbAqlLbqwhXVtxmItOJjvLmV5jZumi7EEj0ImPA14S0TZdS3smuuhK7MIZLjbGS9k7b1RRJ/YDOhE72q4TX2mggcZ1sSV3NbFi52vrFUlBX/wlggqSXCZfpjyGBf6cqYiihCsfyaLsWMJhQGSapPgeGS3qFsmlYPicgJbyTXcVIqmtmSwGfRe/iltarKccBbYB3zOwMSY2BB2OOaVN1AoZRtrZ+Rhrq6v9F0muEVWIBzjCzd+KMyW1QTTPLdLAxs+VRdY4k+yq6VY9uLmW8k131PAX0JFQVydT0zTAg0TmWLlHSejVlpZmtk7RGUl1gHgl9XZlZv+jrGXHHkkuZwQZJDQhVbWaUuq9Bgid0ptl3kvbLVOmRlKkrnVhm1h+K5wJY6ZMIlw7eya5izKxn9O1owiz6UWb2UYwhuSoqpatYAkyUVB94gHAyuxyYEG9I2ZH0P2A8MAoYaWYfxBxStp6SdDSwgFIdbEoWEkrkSVHKXQY8L2lWtN0UOCHGeLIWzd14gmilW0kLgFPN7P1YA3M549VFqihJXQmX6w8hfKC8Q+hw3xlrYM4lnKQniE5ggZVAXTObFm9U2YkWrzqQ8H5xMLAbMNXMjok1sCxJmmJmG61v7jYfkooIZRcFfGRmq2MOKSuSxgJ/MrO3ou3OwE1pqklf1flIdhUVTWYaQagR2wU4H9gL8E62c9l5hHACexfhBPZdSSMTfgK7FlgdfV1HqOs7L9aIcmOspHZmNjHuQFzFNjL5tpWkpE++3SLTwQYws+FRFRWXEj6SXUVJGgpsAYwjjLiNNrM0fGg6F7uovFjpE9gVZrZbvFFtOknfE5ZUvwN4My11fSV9AOwCfAl8R3om36aGpP5m1k/SIxXcbWZ2Zt6DypGoqs0UQsoIwClAWzP7ZXxRuVzyTnYVJenvwP6Eqg5jCJe3x5lZoieSOBe3NJ7ASupNGJ0/gFBLeiwhN3torIFlSdIOFe1P8XwBtxmRtBXQn/DaEuFz+DozWxRrYC5nvJNdxUmqA5wBXAE0MbOkF/d3LlZpPoGVtBuhKsxlwDZmVivmkFwVEc0LOJawWFBxqquZXR9XTLkiqR6wLrPyqEsPz8muoiRdRJjEtD/hUunDhFE351wWzOx3UOYE9hGgCQlenU7Si8A+wGeE94nfkPCKKS5xBhBWR5xMqYVbkkxSO8Jn75bR9hLgTDObHGtgLme8k1111SLkV042szVxB+NcWqT0BPZtwkItSyVdSxjJvoFQlci5fNjOzI6IO4gcewi40MxGAUjqSDgp9zkBKeGd7CrKzG6LOwbnUiqNJ7CnmNmtUSegO3A7cC+hrJ9z+TBW0t5mNj3uQHJoWaaDDWBmoyV5ykiKeE62c865jZL0jpntK+lmYLqZPZXZF3dsLt0kTScsEFQNaAV8TkgXSXwlmGj+Rm3gaUIbTwAWAS8CZFa3dMnlnWznnHMbJWkQMBPoRkiDWQFMMLM2sQbmUm9DFWAyklwJRtJbG7nbzKxr3oJxlcI72c455zZKUm3gCMIo9qeSmgJ7m9ngmENzVUiUrtTKzB6R1AioY2ZfxB2XcxvinWznnHPObdYk9QPaArua2S6SmgHPm9nBMYeWFUm/APYEamb2paEsoQsK4g7AOeecc+5HHAP0IqzMiZnNIip9l1SS7iXkYV9MyDE/HthoeoxLFu9kO+ecc25zt8rCpXcDkLRFzPHkQgczOxVYZGb9gYOA5jHH5HLIO9nOOeec29w9J+k+oL6kc4A3gQdijilbmVVgv4/SX1YDLWKMx+WY18l2zjnn3OZuHWFRp6XALsCfzWxIvCFlbZCk+sBtwBTCKP2D8YbkcsknPjrnnHNusxZNfPw1sBB4BnjBzObGG1XuSKoB1DSzJXHH4nLHO9nOOeecSwRJrQmTBY8FvjGzbjGHtMmi0pi/B7Y3s3MktSJUTxkUc2guRzwn2znnnHNJMQ+YA3wLbBNzLNl6hLB65UHR9jfAjfGF43LNO9nOOeec26xJukDScGAo0BA4J8lLqkdamtmthAmPmNkKQik/lxI+8dE555xzm7sdgMvM7N24A8mhVZJqUVKWsCVhZNulhOdkO+ecc87lmaTuQF9gD2AwcDBwupkNjzMulzveyXbOOeecyzNJTwDTCfWyPwfeNrMF8Ublcsk72c4555xzeSapK9AROATYCXgXGGlmd8YamMsZ72Q755xzzsVAUiHQDugCnA+sMLPd4o3K5YpPfHTOOeecyzNJQ4EtgHGE1Szbmdm8eKNyueQl/Jxzzjnn8m8asArYC2gN7BVVG3Ep4ekizjnnnHMxkVQHOAO4AmhiZjViDsnliKeLOOecc87lmaSLCJMe9we+BB4mpI24lPBOtnPOOedc/tUC7gAmm9mauINxuefpIs4555xzzuWYT3x0zjnnnHMux7yT7ZxzzjnnXI55J9s555xzzrkc8062c84555xzOfb/ytsvvfRn+9EAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f2 = (\n",
    "    train.loc[:, [\"winPlacePerc\",\"winPoints\", \"maxPlace\", \"numGroups\", \"walkDistance\", \"swimDistance\" , \"rideDistance\", \"roadKills\", 'vehicleDestroys', \"weaponsAcquired\" ]]\n",
    ").corr()\n",
    "plt.figure(figsize=(12, 10))\n",
    "sns.heatmap(f2, annot = True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}