results.ipynb

{
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  {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>GPU</th>\n",
       "      <th># of GPUs</th>\n",
       "      <th>Server</th>\n",
       "      <th>Concurrency</th>\n",
       "      <th>Model</th>\n",
       "      <th># of Requests</th>\n",
       "      <th>BatchSize</th>\n",
       "      <th>Theta (inf/s)</th>\n",
       "      <th>Time to inference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>17:17:34.877750</td>\n",
       "      <td>V100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>5.027828e+03</td>\n",
       "      <td>6.517327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>17:17:41.398976</td>\n",
       "      <td>V100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>2.203535e+02</td>\n",
       "      <td>297.412985</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17:22:38.911229</td>\n",
       "      <td>V100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>3.408857e+02</td>\n",
       "      <td>384.504256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17:29:03.549374</td>\n",
       "      <td>V100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>5.580013e+02</td>\n",
       "      <td>352.343260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17:34:56.032155</td>\n",
       "      <td>V100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>6.849002e+02</td>\n",
       "      <td>382.747748</td>\n",
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       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>01:48:31.767956</td>\n",
       "      <td>V100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>3.349081e+06</td>\n",
       "      <td>10.018997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>01:48:41.789452</td>\n",
       "      <td>V100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>3.782617e+06</td>\n",
       "      <td>17.741385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>01:48:59.549581</td>\n",
       "      <td>V100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>3.865477e+06</td>\n",
       "      <td>34.722163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>01:49:34.312786</td>\n",
       "      <td>V100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>4.113221e+06</td>\n",
       "      <td>48.946212</td>\n",
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       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>01:50:23.305605</td>\n",
       "      <td>V100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>4.660628e+06</td>\n",
       "      <td>57.596411</td>\n",
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       "<p>165 rows × 10 columns</p>\n",
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      "text/plain": [
       "           Timestamp   GPU  # of GPUs  Server  Concurrency       Model  \\\n",
       "0    17:17:34.877750  V100          1       1            1  small_lstm   \n",
       "1    17:17:41.398976  V100          1       1            2  small_lstm   \n",
       "2    17:22:38.911229  V100          1       1            4  small_lstm   \n",
       "3    17:29:03.549374  V100          1       1            6  small_lstm   \n",
       "4    17:34:56.032155  V100          1       1            8  small_lstm   \n",
       "..               ...   ...        ...     ...          ...         ...   \n",
       "180  01:48:31.767956  V100          1       1            1  large_tcnn   \n",
       "181  01:48:41.789452  V100          1       1            2  large_tcnn   \n",
       "182  01:48:59.549581  V100          1       1            4  large_tcnn   \n",
       "183  01:49:34.312786  V100          1       1            6  large_tcnn   \n",
       "184  01:50:23.305605  V100          1       1            8  large_tcnn   \n",
       "\n",
       "     # of Requests  BatchSize  Theta (inf/s)  Time to inference  \n",
       "0            32768          1   5.027828e+03           6.517327  \n",
       "1            32768          1   2.203535e+02         297.412985  \n",
       "2            32768          1   3.408857e+02         384.504256  \n",
       "3            32768          1   5.580013e+02         352.343260  \n",
       "4            32768          1   6.849002e+02         382.747748  \n",
       "..             ...        ...            ...                ...  \n",
       "180          32768       1024   3.349081e+06          10.018997  \n",
       "181          32768       1024   3.782617e+06          17.741385  \n",
       "182          32768       1024   3.865477e+06          34.722163  \n",
       "183          32768       1024   4.113221e+06          48.946212  \n",
       "184          32768       1024   4.660628e+06          57.596411  \n",
       "\n",
       "[165 rows x 10 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import LogLocator, ScalarFormatter\n",
    "import numpy as np\n",
    "import math\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (12,7)\n",
    "\n",
    "v100_data = pd.read_csv('osmi-output/v100-results-localscratch.csv')\n",
    "v100_data = v100_data[v100_data['BatchSize'] <= 1024]\n",
    "small_v100_data = v100_data[v100_data['Model']=='small_lstm']\n",
    "medium_v100_data = v100_data[v100_data['Model']=='medium_cnn']\n",
    "large_v100_data = v100_data[v100_data['Model']=='large_tcnn']\n",
    "v100_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Timestamp</th>\n",
       "      <th>GPU</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>21:37:18.097776</td>\n",
       "      <td>A100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>small_lstm</td>\n",
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       "      <td>2.898254e+03</td>\n",
       "      <td>11.306118</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>21:37:29.407283</td>\n",
       "      <td>A100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>1.256962e+04</td>\n",
       "      <td>5.213839</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21:37:34.632584</td>\n",
       "      <td>A100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>1.334496e+04</td>\n",
       "      <td>9.821836</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21:37:44.503445</td>\n",
       "      <td>A100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>1.333992e+04</td>\n",
       "      <td>14.738318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>21:37:59.287547</td>\n",
       "      <td>A100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>1.462365e+04</td>\n",
       "      <td>17.926028</td>\n",
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       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>19:23:56.992362</td>\n",
       "      <td>A100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>3.830386e+06</td>\n",
       "      <td>8.760065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>19:24:05.754625</td>\n",
       "      <td>A100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>5.177404e+06</td>\n",
       "      <td>12.961876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>19:24:18.725391</td>\n",
       "      <td>A100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>5.020592e+06</td>\n",
       "      <td>26.733447</td>\n",
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       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>19:24:45.513405</td>\n",
       "      <td>A100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>5.030742e+06</td>\n",
       "      <td>40.019267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>19:25:25.551888</td>\n",
       "      <td>A100</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>5.041504e+06</td>\n",
       "      <td>53.245111</td>\n",
       "    </tr>\n",
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       "<p>168 rows × 10 columns</p>\n",
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      "text/plain": [
       "           Timestamp   GPU  # of GPUs  Server  Concurrency       Model  \\\n",
       "0    21:37:18.097776  A100          1       1            1  small_lstm   \n",
       "1    21:37:29.407283  A100          1       1            2  small_lstm   \n",
       "2    21:37:34.632584  A100          1       1            4  small_lstm   \n",
       "3    21:37:44.503445  A100          1       1            6  small_lstm   \n",
       "4    21:37:59.287547  A100          1       1            8  small_lstm   \n",
       "..               ...   ...        ...     ...          ...         ...   \n",
       "183  19:23:56.992362  A100          1       1            1  large_tcnn   \n",
       "184  19:24:05.754625  A100          1       1            2  large_tcnn   \n",
       "185  19:24:18.725391  A100          1       1            4  large_tcnn   \n",
       "186  19:24:45.513405  A100          1       1            6  large_tcnn   \n",
       "187  19:25:25.551888  A100          1       1            8  large_tcnn   \n",
       "\n",
       "     # of Requests  BatchSize  Theta (inf/s)  Time to inference  \n",
       "0            32768          1   2.898254e+03          11.306118  \n",
       "1            32768          1   1.256962e+04           5.213839  \n",
       "2            32768          1   1.334496e+04           9.821836  \n",
       "3            32768          1   1.333992e+04          14.738318  \n",
       "4            32768          1   1.462365e+04          17.926028  \n",
       "..             ...        ...            ...                ...  \n",
       "183          32768       1024   3.830386e+06           8.760065  \n",
       "184          32768       1024   5.177404e+06          12.961876  \n",
       "185          32768       1024   5.020592e+06          26.733447  \n",
       "186          32768       1024   5.030742e+06          40.019267  \n",
       "187          32768       1024   5.041504e+06          53.245111  \n",
       "\n",
       "[168 rows x 10 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a100_data = pd.read_csv('osmi-output/a100-results-localscratch.csv')\n",
    "a100_data = a100_data[a100_data['BatchSize'] <= 1024]\n",
    "small_a100_data = a100_data[a100_data['Model']=='small_lstm']\n",
    "medium_a100_data = a100_data[a100_data['Model']=='medium_cnn']\n",
    "large_a100_data = a100_data[a100_data['Model']=='large_tcnn']\n",
    "a100_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Timestamp</th>\n",
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       "      <th>0</th>\n",
       "      <td>11:32:22.941477</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>2.340067e+03</td>\n",
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       "      <th>1</th>\n",
       "      <td>11:32:36.948436</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11:32:43.478151</td>\n",
       "      <td>CPU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>1.119919e+04</td>\n",
       "      <td>11.703708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11:32:55.215232</td>\n",
       "      <td>CPU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>1.083853e+04</td>\n",
       "      <td>18.139736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11:33:13.404246</td>\n",
       "      <td>CPU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>small_lstm</td>\n",
       "      <td>32768</td>\n",
       "      <td>1</td>\n",
       "      <td>1.091375e+04</td>\n",
       "      <td>24.019608</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>12:18:43.092765</td>\n",
       "      <td>CPU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>3.078138e+06</td>\n",
       "      <td>10.900885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>12:18:53.996281</td>\n",
       "      <td>CPU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>3.706597e+06</td>\n",
       "      <td>18.105252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>12:19:12.112624</td>\n",
       "      <td>CPU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>3.864083e+06</td>\n",
       "      <td>34.734692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>12:19:46.897462</td>\n",
       "      <td>CPU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>3.861086e+06</td>\n",
       "      <td>52.142482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>12:20:39.083999</td>\n",
       "      <td>CPU</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>large_tcnn</td>\n",
       "      <td>32768</td>\n",
       "      <td>1024</td>\n",
       "      <td>3.868813e+06</td>\n",
       "      <td>69.384452</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>165 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Timestamp  GPU  # of GPUs  Server  Concurrency       Model  \\\n",
       "0    11:32:22.941477  CPU          1       1            1  small_lstm   \n",
       "1    11:32:36.948436  CPU          1       1            2  small_lstm   \n",
       "2    11:32:43.478151  CPU          1       1            4  small_lstm   \n",
       "3    11:32:55.215232  CPU          1       1            6  small_lstm   \n",
       "4    11:33:13.404246  CPU          1       1            8  small_lstm   \n",
       "..               ...  ...        ...     ...          ...         ...   \n",
       "180  12:18:43.092765  CPU          1       1            1  large_tcnn   \n",
       "181  12:18:53.996281  CPU          1       1            2  large_tcnn   \n",
       "182  12:19:12.112624  CPU          1       1            4  large_tcnn   \n",
       "183  12:19:46.897462  CPU          1       1            6  large_tcnn   \n",
       "184  12:20:39.083999  CPU          1       1            8  large_tcnn   \n",
       "\n",
       "     # of Requests  BatchSize  Theta (inf/s)  Time to inference  \n",
       "0            32768          1   2.340067e+03          14.003018  \n",
       "1            32768          1   1.007397e+04           6.505477  \n",
       "2            32768          1   1.119919e+04          11.703708  \n",
       "3            32768          1   1.083853e+04          18.139736  \n",
       "4            32768          1   1.091375e+04          24.019608  \n",
       "..             ...        ...            ...                ...  \n",
       "180          32768       1024   3.078138e+06          10.900885  \n",
       "181          32768       1024   3.706597e+06          18.105252  \n",
       "182          32768       1024   3.864083e+06          34.734692  \n",
       "183          32768       1024   3.861086e+06          52.142482  \n",
       "184          32768       1024   3.868813e+06          69.384452  \n",
       "\n",
       "[165 rows x 10 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpu_data = pd.read_csv('osmi-output/cpu-results-localscratch.csv')\n",
    "cpu_data = cpu_data[cpu_data['BatchSize'] <= 1024]\n",
    "small_cpu_data = cpu_data[cpu_data['Model']=='small_lstm']\n",
    "medium_cpu_data = cpu_data[cpu_data['Model']=='medium_cnn']\n",
    "large_cpu_data = cpu_data[cpu_data['Model']=='large_tcnn']\n",
    "cpu_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/nkimball/.local/lib/python3.8/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils.\n",
      "  warnings.warn(\"Setuptools is replacing distutils.\")\n"
     ]
    }
   ],
   "source": [
    "from cloudmesh.common.Shell import Shell\n",
    "def save_image(filename=None, dpi=300):\n",
    "    # os.system(\"mkdir -p out\")\n",
    "    Shell.mkdir(\"out\")\n",
    "    plt.savefig(f\"out/{filename}.png\", dpi=dpi)\n",
    "    plt.savefig(f\"out/{filename}.svg\")\n",
    "    plt.savefig(f\"out/{filename}.pdf\")"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fig. 7.\n",
    "Throughput vs. GPUs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fig, ax = plt.subplots()\n",
    "# ax.plot(small_data['# of GPUs'], small_data['Theta (inf/s)'], label='Throughput/Small')\n",
    "# ax.plot(medium_data['# of GPUs'], medium_data['Theta (inf/s)'], label='Throughput/Medium')\n",
    "# ax.plot(large_data['# of GPUs'], large_data['Theta (inf/s)'], label='Throughput/Large')\n",
    "\n",
    "# ax.set_title('Throughput vs. GPUs')\n",
    "# ax.set_xlabel('GPUs')\n",
    "# ax.set_ylabel('Throughput (inf/s)')\n",
    "\n",
    "# ax.legend()\n",
    "\n",
    "# save_image(\"throughput-vs-gpus\")\n",
    "\n",
    "# plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fig #. Theta vs. Batch size"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we are comparing the effects of batch size on throughput. Batchsize is the number of samples per request and throughput is the number of inferences per second. Throughput is calculated according to the formula $\\theta = N*B/t$ where N is the number of requests sent to the server, B is the batch size, and t is the time to inference all N requests. For the following graphs, N is held constant at 32,768 requests. The total input size is a function of N*B. The three models used for the graphs are a small lstm model, a medium tcnn model, and a large cnn model. The small model takes input data of shape (8,48) and outputs data of shape (2,12), the medium model takes input data of shape (101,82,9) and outputs data of shape (101,82), and the large model takes input data of shape (3,101,82,9) and outputs data of shape (3,101,82,1). To perform regression on the data we took $log_2$ of the batch size and $log_{10}$ of the throughput, then fit a linear regression model to the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "small_v100_data_1 = small_v100_data[small_v100_data['Concurrency']==1]\n",
    "small_v100_data_2 = small_v100_data[small_v100_data['Concurrency']==2]\n",
    "small_v100_data_4 = small_v100_data[small_v100_data['Concurrency']==4]\n",
    "medium_v100_data_1 = medium_v100_data[medium_v100_data['Concurrency']==1]\n",
    "medium_v100_data_2 = medium_v100_data[medium_v100_data['Concurrency']==2]\n",
    "medium_v100_data_4 = medium_v100_data[medium_v100_data['Concurrency']==4]\n",
    "large_v100_data_1 = large_v100_data[large_v100_data['Concurrency']==1]\n",
    "large_v100_data_2 = large_v100_data[large_v100_data['Concurrency']==2]\n",
    "large_v100_data_4 = large_v100_data[large_v100_data['Concurrency']==4]\n",
    "\n",
    "s1_reg = np.polyfit(np.log2(small_v100_data_1['BatchSize']), np.log10(small_v100_data_1['Theta (inf/s)']), 1)\n",
    "s2_reg = np.polyfit(np.log2(small_v100_data_2['BatchSize']), np.log10(small_v100_data_2['Theta (inf/s)']), 1)\n",
    "s3_reg = np.polyfit(np.log2(small_v100_data_4['BatchSize']), np.log10(small_v100_data_4['Theta (inf/s)']), 1)\n",
    "m1_reg = np.polyfit(np.log2(medium_v100_data_1['BatchSize']), np.log10(medium_v100_data_1['Theta (inf/s)']), 1)\n",
    "m2_reg = np.polyfit(np.log2(medium_v100_data_2['BatchSize']), np.log10(medium_v100_data_2['Theta (inf/s)']), 1)\n",
    "m4_reg = np.polyfit(np.log2(medium_v100_data_4['BatchSize']), np.log10(medium_v100_data_4['Theta (inf/s)']), 1)\n",
    "l1_reg = np.polyfit(np.log2(large_v100_data_1['BatchSize']), np.log10(large_v100_data_1['Theta (inf/s)']), 1)\n",
    "l2_reg = np.polyfit(np.log2(large_v100_data_2['BatchSize']), np.log10(large_v100_data_2['Theta (inf/s)']), 1)\n",
    "l4_reg = np.polyfit(np.log2(large_v100_data_4['BatchSize']), np.log10(large_v100_data_4['Theta (inf/s)']), 1)\n",
    "\n",
    "def formula(regression):\n",
    "    return f\"log(Θ)={regression[0]:.2f}log\\u2082(b)+{regression[1]:.2f}\"\n",
    "    # return f\"Θ=10^({regression[0]:.2f}log\\u2082(b)+{regression[1]:.2f})\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(small_v100_data_1['BatchSize'], small_v100_data_1['Theta (inf/s)'], label=f'Concurrency=1, ' + formula(s1_reg), marker='o')\n",
    "ax.plot(small_v100_data_2['BatchSize'], small_v100_data_2['Theta (inf/s)'], label=f'Concurrency=2, ' + formula(s2_reg), marker='o')\n",
    "ax.plot(small_v100_data_4['BatchSize'], small_v100_data_4['Theta (inf/s)'], label=f'Concurrency=4, ' + formula(s3_reg), marker='o')\n",
    "ax.set_xscale('log', basex=2)\n",
    "ax.set_yscale('log', basey=10)\n",
    "ax.set_ylim([1, math.pow(10,9)])\n",
    "plt.xticks(small_v100_data_1['BatchSize'])\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_title('Throughput vs. Batch size (Small Model)')\n",
    "ax.set_xlabel('Batch size')\n",
    "ax.set_ylabel('Throughput (inf/s)')\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-batch-size(small-model)\")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(medium_v100_data_1['BatchSize'], medium_v100_data_1['Theta (inf/s)'], label='Concurrency=1, ' + formula(m1_reg), marker='o')\n",
    "ax.plot(medium_v100_data_2['BatchSize'], medium_v100_data_2['Theta (inf/s)'], label='Concurrency=2, ' + formula(m2_reg), marker='o')\n",
    "ax.plot(medium_v100_data_4['BatchSize'], medium_v100_data_4['Theta (inf/s)'], label='Concurrency=4, ' + formula(m4_reg), marker='o')\n",
    "ax.set_xscale('log', basex=2)\n",
    "ax.set_yscale('log', basey=10)\n",
    "ax.set_ylim([1, math.pow(10,9)])\n",
    "plt.xticks(medium_v100_data_1['BatchSize'])\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_title('Throughput vs. Batch size (Medium Model)')\n",
    "ax.set_xlabel('Batch size')\n",
    "ax.set_ylabel('Throughput (samples/s)')\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-batch-size(medium-model)\")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(large_v100_data_1['BatchSize'], large_v100_data_1['Theta (inf/s)'], label='Concurrency=1, ' + formula(l1_reg), marker='o')\n",
    "ax.plot(large_v100_data_2['BatchSize'], large_v100_data_2['Theta (inf/s)'], label='Concurrency=2, ' + formula(l2_reg), marker='o')\n",
    "ax.plot(large_v100_data_4['BatchSize'], large_v100_data_4['Theta (inf/s)'], label='Concurrency=4, ' + formula(l4_reg), marker='o')\n",
    "ax.set_xscale('log', basex=2)\n",
    "ax.set_yscale('log', basey=10)\n",
    "ax.set_ylim([1, math.pow(10,9)])\n",
    "plt.xticks(large_v100_data_1['BatchSize'])\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_title('Throughput vs. Batch size (Large Model)')\n",
    "ax.set_xlabel('Batch size')\n",
    "ax.set_ylabel('Throughput (samples/s)')\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-batch-size(large-model)\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Throughput vs. Batchsize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(small_v100_data_1['BatchSize'], small_v100_data_1['Theta (inf/s)'], label='Small LSTM', marker='o')\n",
    "ax.plot(medium_v100_data_1['BatchSize'], medium_v100_data_1['Theta (inf/s)'], label='Medium CNN', marker='o')\n",
    "ax.plot(large_v100_data_1['BatchSize'], large_v100_data_1['Theta (inf/s)'], label='Large TCNN', marker='o')\n",
    "ax.set_xscale('log', basex=2)\n",
    "ax.set_yscale('log', basey=10)\n",
    "ax.set_ylim([1, math.pow(10,9)])\n",
    "ax.grid(True)\n",
    "\n",
    "plt.xticks(large_v100_data_1['BatchSize'])\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "\n",
    "ax.set_title('Throughput vs. Batch size (Concurrency=1)')\n",
    "ax.set_xlabel('Batch size')\n",
    "ax.set_ylabel('Throughput (samples/s)')\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-batch-size(concurrency=1)\")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(small_v100_data_2['BatchSize'], small_v100_data_2['Theta (inf/s)'], label='Small LSTM', marker='o')\n",
    "ax.plot(medium_v100_data_2['BatchSize'], medium_v100_data_2['Theta (inf/s)'], label='Medium CNN', marker='o')\n",
    "ax.plot(large_v100_data_2['BatchSize'], large_v100_data_2['Theta (inf/s)'], label='Large TCNN', marker='o')\n",
    "ax.set_xscale('log', basex=2)\n",
    "ax.set_yscale('log', basey=10)\n",
    "ax.set_ylim([1, math.pow(10,9)])\n",
    "plt.xticks(large_v100_data_2['BatchSize'])\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_title('Throughput vs. Batch size (Concurrency=2)')\n",
    "ax.set_xlabel('Batch size')\n",
    "ax.set_ylabel('Throughput (samples/s)')\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-batch-size(concurrency=2)\")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(small_v100_data_4['BatchSize'], small_v100_data_4['Theta (inf/s)'], label='Small LSTM', marker='o')\n",
    "ax.plot(medium_v100_data_4['BatchSize'], medium_v100_data_4['Theta (inf/s)'], label='Medium CNN', marker='o')\n",
    "ax.plot(large_v100_data_4['BatchSize'], large_v100_data_4['Theta (inf/s)'], label='Large TCNN', marker='o')\n",
    "ax.set_xscale('log', basex=2)\n",
    "ax.set_yscale('log', basey=10)\n",
    "ax.set_ylim([1, math.pow(10,9)])\n",
    "plt.xticks(large_v100_data_2['BatchSize'])\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_title('Throughput vs. Batch size (Concurrency=4)')\n",
    "ax.set_xlabel('Batch size')\n",
    "ax.set_ylabel('Throughput (samples/s)')\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-batch-size(concurrency=4)\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fig #. Theta vs. Concurrency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "small_v100_data_b32 = small_v100_data[small_v100_data['BatchSize']==32]\n",
    "medium_v100_data_b32 = medium_v100_data[medium_v100_data['BatchSize']==32]\n",
    "large_v100_data_b32 = large_v100_data[large_v100_data['BatchSize']==32]\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(small_v100_data_b32['Concurrency'], small_v100_data_b32['Theta (inf/s)'], label='Small LSTM')\n",
    "ax.plot(medium_v100_data_b32['Concurrency'], medium_v100_data_b32['Theta (inf/s)'], label='Medium CNN')\n",
    "ax.plot(large_v100_data_b32['Concurrency'], large_v100_data_b32['Theta (inf/s)'], label='Large TCNN')\n",
    "\n",
    "ax.set_title('Throughput vs. Concurrency')\n",
    "ax.set_xlabel('Concurrency')\n",
    "ax.set_ylabel('Throughput (samples/s)')\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-concurrency\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# K80, P100, V100, A100, RTX2080Ti, RTX3090\n",
    "small_v100_data_c1 = small_v100_data[small_v100_data['Concurrency']==1]\n",
    "medium_v100_data_c1 = medium_v100_data[medium_v100_data['Concurrency']==1]\n",
    "large_v100_data_c1 = large_v100_data[large_v100_data['Concurrency']==1]\n",
    "\n",
    "small_a100_data_c1 = small_a100_data[small_a100_data['Concurrency']==1]\n",
    "medium_a100_data_c1 = medium_a100_data[medium_a100_data['Concurrency']==1]\n",
    "large_a100_data_c1 = large_a100_data[large_a100_data['Concurrency']==1]\n",
    "\n",
    "small_cpu_data_c1 = small_cpu_data[small_cpu_data['Concurrency']==1]\n",
    "medium_cpu_data_c1 = medium_cpu_data[medium_cpu_data['Concurrency']==1]\n",
    "large_cpu_data_c1 = large_cpu_data[large_cpu_data['Concurrency']==1]\n",
    "\n",
    "small_v100_c1_b32 = small_v100_data_c1[small_v100_data_c1['BatchSize']==32]\n",
    "medium_v100_c1_b32 = medium_v100_data_c1[medium_v100_data_c1['BatchSize']==32]\n",
    "large_v100_c1_b32 = large_v100_data_c1[large_v100_data_c1['BatchSize']==32]\n",
    "\n",
    "small_a100_c1_b32 = small_a100_data_c1[small_a100_data_c1['BatchSize']==32]\n",
    "medium_a100_c1_b32 = medium_a100_data_c1[medium_a100_data_c1['BatchSize']==32]\n",
    "large_a100_c1_b32 = large_a100_data_c1[large_a100_data_c1['BatchSize']==32]\n",
    "\n",
    "small_cpu_c1_b32 = small_cpu_data_c1[small_cpu_data_c1['BatchSize']==32]\n",
    "medium_cpu_c1_b32 = medium_cpu_data_c1[medium_cpu_data_c1['BatchSize']==32]\n",
    "large_cpu_c1_b32 = large_cpu_data_c1[large_cpu_data_c1['BatchSize']==32]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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eOSzznCuAi4iIiEjQ3XxOFv/6iUKyEqMwOD3f//qJQm4+J2tYrr906VLKysq49dZbe7dddtll3Hrrraxfv57s7Oze6QofffRRHn/8cXJzc2loaOCee+4B4J577qGhoYHc3Fwef/xxvvvd7w5LbRqCIiIiIiIhcfM5WcMWuI+59s03Y62lpaWld9trr7026LE5OTls2rTpmO2RkZH89re/Hfba1AMuIiIiIhJECuAiIiIiIkGkAC4iIiIiEkQK4CIiIiIiQaQALiIiIiISRArgIiIiIiJBpAAuIiIiImPO2rVrMcbw4Ycf9m5btGgRiYmJXH/99f2O3blzJ/PmzSM3N5fbbruNrq4uADo7O7ntttvIzc1l3rx5VFdXD0ttCuAiIiIiEhrlq+B7c2B5ovO1fNWwXXrlypVceuml/ebxvv/++3n66aePOfaBBx7gvvvuY9u2bSQlJfHkk08C8OSTT5KUlMS2bdu47777eOCBB4alNgVwEREREQm+8lXwwpegeQ9gna8vfGlYQviRI0d4/fXXefLJJ1mzZk3v9oULFxIXF9fvWGstGzZs6F2y/s4772Tt2rUAPP/889x5550ALF68mPXr12OtPeP6tBKmiIiIiAy/F78C+zYff3/N2+Dr7L+tux2e/yK8+9Tg50wshGtPvhz8888/z6JFi5g5cybJycm8++67nHfeeYMe29DQQGJiImFhTizOzs6mtrYWgNraWiZNmgRAWFgYCQkJNDQ0kJqaetIaTkQ94CIiIiISfAPD98m2n4KVK1dy++23A/DJT36SlStXnvE1h5N6wEVERERk+J2sp/p7cwLDTwZImAR3rTvt2zY2NrJhwwY2b96MMQav14vL5eKxxx7DGHPM8SkpKTQ1NeH1egkLC6OmpoasrCwAsrKy2LNnD9nZ2Xi9Xpqbm0lJSTnt2nqoB1xEREREgm/h18ET1X+bJ8rZfgZWr17NHXfcwa5du6iurqayspJp06bx2muvDXq8MYYFCxawevVqAJ566iluuukmAG688Uaeeuqp3uteeeWVg4b4U6UALiIiIiLBN3cJ3PB9p8cb43y94fvO9jOwcuVKbrnlln7beoahXHbZZdx6662sX7+e7OxsXnrpJQAeffRRHn/8cXJzc2loaOCee+4B4J577qGhoYHc3Fwef/xxvvvdk48/HwoNQRERERGR0Ji75IwD90CvvPLKMdu+9KUvnfCcnJwcNm3adMz2yMjIftMYDhf1gIuIiIiIBJECuIiIiIhIECmAi4iIiIgEkQK4iIiIiEgQKYCLiIiIiASRAriIiIiISBApgIuIiIjImLJv3z5uv/12pk+fzuWXX851113Hhx9+SFRUFMXFxeTn53Pvvffi9/vZuHEj119/fb/zP/e5z/UuzDMSNA+4iIiIiITEuh3rWPHeCva17mNizESWnbuMkpySM7qmtZZbbrmFO++8k2eeeYaWlhZ27NjB/v37mT59OqWlpXi9Xq688krWrl1LcnLyMLVm6NQDLiIiIiJBt27HOpa/sZy61joslrrWOpa/sZx1O9ad0XVfeeUVPB4P9957b++2oqIiJk2a1PtzWFgYF198Mdu2bTuje50u9YCLiIiIyLB7dNOjVDVWHXd/+cFyuvxd/bZ1+Dr4+l++zuoPBx/+MTt5Ng9c8MAJ77tlyxbOO++8Ex7T1tbG+vXrefjhh0943EhRD7iIiIiIBN3A8H2y7cNh+/btFBcXc8kll1BSUsK1116LMWbQY4+3fTioB1xEREREht3JeqqvXn01da11x2zPiMngF4t+cdr3LSgoOO4DlD1jwPtKSUnh0KFD/bY1NjaSmpp62jWcjHrARURERCTolp27jEh3ZL9tke5Ilp277Iyue+WVV9LZ2clPf/rT3m3l5eXs2bNn0ONnzJjB3r17qaysBGDXrl2UlZVRXFx8RnWciHrARURERCToemY7Ge5ZUIwxPPfcc/zjP/4jjz76KOHh4eTk5PDEE08MenxERAS/+tWvuOuuu+jo6MDj8fCzn/2MhISEM6rjRBTARURERCQkSnJKzjhwDyYzM5NVq1YB0NLSQlxcHOA8oDmYSy65hLfeemvY6zgeDUEREREREQkiBXARERERkSBSABcRERGRYWOtDXUJQXU67VUAFxEREZFhERkZSUNDw7gJ4dZaGhoaiIyMPPnBfeghTBEREREZFtnZ2dTU1HDw4MFQl9Kro6PjlAPyqYiMjCQ7O/uUzlEAFxEREZFh4fF4mDZtWqjL6Gfjxo2cc845oS6jHw1BEREREREJIgVwEREREZEgUgAXEREREQkiBXARERERkSBSABcRERERCSIFcBERERGRIFIAFxEREREJIgVwEREREZEgUgAXEREREQkiBXARERERkSBSABcRERERCSIFcBERERGRIFIAFxEREREJIgVwEREREZEgUgAXEREREQkiBXARERERkSBSABcRERERCSIFcBERERGRIFIAFxEREREJIgVwEREREZEgUgAXEREREQkiBXARERERkSBSABcRERERCSIFcBERERGRIFIAFxEREREJIgVwEREREZEgUgAXEREREQkiBXARERERkSBSABcRERERCSIFcBERERGRIFIAFxEREREJIgVwEREREZEgUgAXEREREQkiBXARERERkSAKC3UBIiIiIiLDbd3Gh1ix4zn2uWDiz2FZzi2UzH8k1GUBCuAiIiIiMsas2/gQy3c+R4fbAFDnhuU7nwMYFSFcQ1BERERE5OxnLTTX0rx5Ff+241k6XKbf7g6XYcWO50JUXH/qARcRERGRs09rA/XVr1K5eyNV9VupbK+jwmWp9YSBe/A+5n2jpOtZAVxERERERjXb3sS+6o1U9ITttn1UurwcCDsaZSdHxjAnNpvFaUU8vW01jQN6wAEm+oNZ9fEpgIuIiIjIqOHvamXPjvVU7n6VyoYtVLbVUWm8NLndALgs5EREMi82m9lpReRNWcDsiecSFx7Xe40Mn88ZA94nhEf6Lctybgl6ewajAC4iIiIiIeHtbmfnzpedsF2/hcq2fVSZblpdzliRMGuZ4YliYcx0J2xPvZKZmecTFRZ1wuv2PGjZOwuKX7OgiIiIiMg409XdzkfVG6jc/SpV9U7P9gd00xnopY60llnuKG6ImUZeehF5UxeSm3UhHrfntO5XMv8RSuY/wsaNG5k/f/4wtuTMKYCLiIiIyLBq62rlw90bqdj1KlUNW6lsq2MbXXiNE7Zj/X7yTBRLYqeQlzaX/KkLmZp9CW73+Iim46OVIiIiIjIiDnc2U1XzFyp3HR2zvdN2YQNhO8nnJ99EcklMDnnpxeRPuZKsyZfgOs2e7bFAAVxEREREhqShvYHKvX+laverVASGkdTQ3bt/gtdLnonkmpip5KUVkzftSiZkX4LxRISw6tFHAVxERERE+rHWsr9tPxX73qVq95+prN9CRVsdB/qE7Und3eQTwSdjJpOXXsTsqVeSMvkS8Jz4AUlRABcREREZ89ZtfOjojCA/7z8jiN/6qWmpoeJAqTOU5OBmKtvrOGS9ALisZVp3NxfYcGbHZJGfXsSsqVcSP+kiiIwPZbPOWgrgIiIiImPYuo0POXNiu50x2XVueKj6OV74n010ulxUtdVxBB8QmPavq5sFfjezY7PJSyti5pT5RE+6EGJSQtmMMUUBXERERGSMOtB2gEcHLEgD0G0Mf2mvZW5nFyU+Q15sFnlpxeROvpzwSRdAfGaIKh4fFMBFRERExoBuXzdVjVWU1f6FsprXKWv6iDpfGwyyJDuAAX5960uQNBXM4MfIyFAAFxERETkL1bfXU1a3ibLqDZTVl7G1fT+dWAAmer0UdXZxhyeZn7vbqHe7jjl/oh9InhbkqgUUwEVERERGvW5/Nx82fEBZ9cuU7n2T8sM7qPV3AOCxlrzOLpbYcIoSplGUeRETp86HjCIIjyG5Zwx4n57wSL9lWc4tIWqNKICLiIiIjDIN7Q2U7XmNsl3rKWvYytbOejoCvdvpXi9F3X6WRk2gKLWYvKkLiJh8EcRNHPRaPbOd9M6C4u8/C4oEnwK4iIiISAh5/V4+OriFsh1/cIaUHNnNHtsJOLOS5HV1s9gVS1HiDIqyL2PitAWYtFngcg/5HiXzH6Fk/iNs3LiR+fPnj1BLZKgUwEVERESC6FBbA+U7XqJsz6uUNVayufsQ7YHRIaleH0U+F7fGZFE04Tzyc64mMvt8CI8JbdEyrBTARUREREaIz+9jW93blG1/kbL971LWtpddgdUk3dYyq9vHzeFJFCXlUTR5Plk5V2HiM0JctYw0BXARERGRYdJ8ZB9lH73QOw3gFl8LrYHe7WSfj7lEcEvsdIoy5lGQey1REwpPaSiJjA0K4CIiIiKnwe/zsn3XRsp2/pGyg2WUte9jp8sPOMu3z/TB9RFpFKUWUjx1IdnTFmIiYkNctYwGCuAiIiIiQ3C4cSebP3qesto3KWvZyWZ/Gy2Bqf0SfX6K3DHcEJ9DUebFzJl5I9FJU0NbsIxaCuAiIiIyvpSvgvUPc0VzDbyfDQu/DnOX9DvE39VK9fY/UlbtTANY2lXPDpfFGoPLWnKtm0VR2RSlFVGcs4jJky/HuDWURIZGAVxERETGj/JVrHv5flbER7MvKZuJXh/LXr6fK5p3sZkuSgPTAJbTRUtg9ch4v2WuJ4Frk2ZSlH0ZhTNuICYmLcQNkbOZAriIiIiMG+tee5jlSbF0uJxwXecJ48HkOOz2p8AYjLVMd4dzdcx0iiacR9H065iacR4uc+xS7iKnSwFcRERExiafl84DW9lWvYHKfe9SdXgHz0ZDt6t/mLbGEOvz8f/mfYPC6YuIi0wIUcEyXiiAi4iIyNmvq40jte9QtesVqg6WUdmym0pfKzs9brzGeVAy1hq6zeCnt7pcXFxwWxALlvFMAVxERETOLq0N1O9+jcrdr1HVUEFl216q6GKP52isSXW7mR2VyfykGczOmEfelPlkJUxh0crLqetuPuaSE8MTg9kCGecUwEVERGR0shZ7qJqa6lep2vsWlYc+oLLjAFUuS33Y0RlHsj3h5EVlcXNKHrOzLyEv+1LSYtIHveSyCx9k+esP0WG7e7dFGg/LLnxwxJsj0kMBXERERELP1413fwU7dr1C1b53qWzeTlXXIT4Ic/XORuK2kBMZy8UxWcxOm8vsyZczO+N84sLjhnybkpwSAFa8t4K61joyYjJYdu6y3u0iwaAALiIiIsHVeYT2ve/y0e4/U7X/fSpbdlHlO8KHHg9dgYVtIoGZMclcGzeV2RPOJW/KfGakzSHCHXHGty/JKaEkp4SNGzcyf/78M76eyKlSABcREZGRc+QAzTVvUbX7z1TVb6WydS9VdLLTE4Y/8HBkXJiL/OhMlibOYHbG+eRNvoIpiTmEuRRTZGzSb7aIiIicOb8f27iDA3veoKr2DSoPfUBV+wGqXH5q+zwcmR7uIS9qKlcl55GXdRGzsy8mMzYLY44zPYnIGKQALiIiIqfG24X/QAV7dv+Zyr1vB8ZrN1LlcdHYZzn2KVHRFMZkc2vqHPImXcbsjI+RHJkcwsJFRgcFcBERkXFs3caHWLHjOfa5YOLPYVnOLZTMf+ToAR2H6a4rZfuuV6k8UEpVSzVV3iN8EB5Ga2BBmzADuTHJXB43hdkTismbdAWz0guJ8cSEqFUio5sCuIiIyDi1buNDLN/5HB1uZ/hHnRuW73yW6pq3SHKFUXWklio62RbuoTswRCQqzDArOoMbEnLIz7iA2ZMuY3rSDMLd4aFsishZRQFcRERkPGo/xBM7nqXD3X9Z9g6Xix/79oEPkiLCmB05hc8kz3bGa2fOY3L8FNwu93EuKiJDoQAuIiIy1nm7YP8W6ne9Rtme1yhr/ohS28a+iONM6Wctf7r1ZSZET9DDkSIjQAFcRERkLLEWmnbjq9nEtuqNlB4spbTjAKXhbmo8HgA8EYb8iEnEtB+gdZB8neGHiTETg1y4yPihAC4iInI262iG2vc4vPsNymvfoPTwdkpdPjZHhNPmcoEbUuMSKI7P4fasiymaPJ/8lHzC3eFHx4C7jqbwSL9lWc4tIWyQyNinAC4iInK28HnhQAW25m2qd79O6cEyyvd6+/kAACAASURBVLoPURYZzrZw5yFIV4yHWZGZ3JhWRPHkBRRNOJes48yz3TPbSe8sKP5BZkERkWE35ABujIkBOqy1vhGsR0RERMAZSnK4Fmreob3mLbbUbqLsSDWlHhdlEeE0ud0QBXExyRQn5LIo6yKKMy+iMLWQaE/0kG9TMv8RSuY/omXZRYLouAHcGOMCbgc+DZwPdAIRxph6YB3wE2vttqBUKSIiMtZ1HoG972Nr3mZfzZuU1m+h1LZTGhnOB+Hh+NwGEmKYFpHKgvRiirMvpTj9HKYmTMVlXCe/voiMGifqAX8FeBl4ENhirfUDGGOSgQXAo8aY56y1vxr5MkVERMYQvw8OVkHNO3TXbKKy7h1K2/dSFu6hNDKCA2FhEB9GlEmiMHEGd2deRPHE8yhKKyIhIiHU1YvIGTpRAL/KWts9cKO1thFYA6wxxnhGrDIREZGx4nAd1L4DNe/QULuJssZKSt2WsshwtkZE0BllICqRrIhkPjbhXIozLqAorYiZSTMJc+lxLZGx5rj/qnvCtzFmOlBjre00xswH5gK/tNY2DRbQRURExrWuNqgrhZp38NW8zbZ971HmbaI0IoLSyAj2eMIgJQ6PcZOfmMvtGfMoSi+mKK2I9Oj0UFcvIkEwlLfVa4CPGWNygZ8CzwO/Aa4bycJERERGPb8f6j/s7d0+XPs2m5t3UBrhoTQynM2RUbQmuoBkUsLjKU4/lyUTzqM4vZi8lDwi3MdZCEdExrShBHC/tdZrjLkF+IG19gfGmPdHujAREZGgK18F6x/miuYaeD8bFn4d5i45uv/IAah5B2rfwda8za795ZS6uimNiKAsKortUW5sVCouDDMTpnP9RCdsF6cVH3cqQBEZf4YSwLuNMUuBO4EbAts09ltERMaW8lWse/l+VsRHsy8pm4leH8v+9C+UfPRH8Ptor32HrR37nbAdGUFpVDRNE+IBiAuLoSj9HBalF1OcXsyc1DnEeGJC3CARGa2GEsDvAu4Fvm2t3WmMmQY8PbJliYiIBJG1rHv1GyxPiqXD5UzpV+cJ46GUeH53YCPN4ZF8kGTwMgGAafFTWZB+DkVpRRSnFzMtYZqmAhSRITvRPOA/BV4EXrbWfqlnu7V2J/BoEGoTEREZGd3tsPd92LMJat7mUM0m/i3J0xu+ew8zhjejIvlYxgXcleb0bs9NnUtiZGKICheRseBEPeBPAtcC/2SM6QL+CPzBWlsWlMpERESGg7XQtBtq3oY9m2iqeYuKpm1UeNxURISzNSqavWmRJ7zEz6/5eZCKFZHx4ETTEP4V+Cuw3BiTAlwN/LMxZi7wHk4YXxWcMkVERIaoux32lkLNJpp3v0HFgVK2+tuoiAinIiKC2gg3TEgBYHJsFnNTC7k9JZ+nyn5Cg7f1mMtNDFdvt4gMryHN7m+tbQBWBv5gjDkPWDSCdYmIiJyctdBc44TtXW9QufcttrbW9PZu13g8kBgOhJMdlc6c9GKWpBZQkFJAXkoe8eHxvZdKj05n+esP0dFniYtI42HZhQ+GoGEiMpadNIAbY5YBvwBagP8CzgUetNZ+e4RrExER6a+7A+rKOLzrNSr3vE5F04dstR1URISzx+OBcCA8nqyIZApSC1k84RwKUgvIS8476RLuJTklAKx4bwV1rXVkxGSw7NxlvdtFRIbLUHrA77bWrjDGXAOkAHfgzILy0ohWJiIi0lxDS/Wfqdz1ChUHt7C18yAV4WHs9gRmw41xk+XJID9pFp/IvJD8tDnkJ+ef9kOSJTkllOSUsHHjRubPnz987RAR6WMoAbxn1YDrcJag32q0koCIiAw3bydH9vyVyh0vUbHvHbYeqaHC7WNXT9gOg8yIFPLjp3FL5jzyM+aRn3L6YVtEJFSGEsDfNcb8EZgGPGiMiQP8I1uWiIiMda0N26j86H/ZuvctKpq3U+E7QrXn6P+WJkZFUhCTzY0TzqFgygLy0gpJjkwOYcUiIsNjKAH8HqAY2GGtbQvMiHLXyJYlIiJjSVt7E5Xbfs/WPa9S0VhFRWcD1W6wgQ9UJxgXBbHZXJ86h/wpC8jPvoSUqJQQVy0iMjKGEsAtkA9cDzwMxAAnnjBVRETGrbbuNqr2/IWK6pfZerCcivZ97KS7N2yn+y35EUlclziT/OxLyJ9+LalxGSGuWkQkeIYSwH+EM+TkSpwA3gKsAc4fwbpERCTE1u1Yd3RGkNWDzwjS1t3GB/Vbqahez9Z971DRsoud/g78gSeF0r0+8l3RLIqfTkHGBeTnlpCaXhCC1oiIjB5DCeDzrLXnGmPeB7DWHjLGhI9wXSIiEkLrdqzrNyd2XWsdy1//GtXN1SQaNxW1b1LR9BE7ult6w3aq10eB38XV0RkUpJ9Dfs7VpE25DMIiQtgSEZHRZygBvNsY48YZioIxJg09hCkiMqateOs7/RakAeiwXn5c/mMAUrw+Crq7uSo8hfzkfAqmXEF6zlWQkBWKckVEzipDCeDfB54D0o0x3wYWA18b0apERCRorLXsa91HeX05mw9upry+nLquZhhsxllreTnnDtKnzsdkFqt3W0TkNJw0gFtrf22MeRdYiDMn+M3W2soRr0xEREZEa3crW+u3Ul5fTvnBcjbXb6a+vR6AcFc4eSl5xFhL6yABPMPrY8LlDwS7ZBGRMeW4AdwY03ey1QPAyr77rLWNI1mYiIicOZ/fx/bm7b1Bu/xgOdubtmOdUYVMiZ/ChRkXUphaSFFaETOTZuJxe1j3gzyWx0KHy9V7rUi/n2Wd7lA1RURkzDhRD/i7OOO+B1v10gI5I1KRiIictgNtB3qHkWyu38zW+q20edsASIhIYE7qHK6ecjWFaYUUphaSEJFw7EV83ZTYKKivY0VSIvvC3Ez0+lh2uI2Sqx4LcotERMae4wZwa+20YBYiIiKnpt3bTkVDRb/Ava91HwBhrjBmJ83mptybKEwtZG7aXCbHTcYMNq57oJeXQ+N2Si74G0o++AO2uQaTkA1XPQZzl4xso0RExoGhPISJMeYTwKU4Pd+vWWvXjmhVIiLSj9/6qW6u7n1QcnP9Zj489CE+6wMgKzaLc9LOoTDf6dnOS8kjwn0aD0hWvgBv/gdc8Ldw3WNw3b/z6saNzJ8/f3gbJCIyjp00gBtjfgTkcnQM+L3GmI9ba/9hRCsTERnHGjsaj/ZsH9zMlvottHS3ABDriWVO6hzunnM3c9PmUphaODzLtjfugLV/D5nnwtXfOvPriYjIoIbSA34lkGet7ZkH/Clg64hWJSIyjnT6OqlqrHIC98FyyuvLqT1SC4DbuJmRNINF0xb1DiWZljANl3Gd5KqnqLsdVn0WjAuWPKXpBUVERtBQAvg2YDKwK/DzpMA2ERE5RdZa9rTsOToF4MHNVB2qwuv3AjAhegJz0+Zy26zbmJs2l7zkPKI90SNf2IsPwL7N8KlVkDh55O8nIjKODSWAxwGVxphNgZ/PB94xxvwOwFp740gVJyJytmvubGZz/ebe4SRb6rfQ1NkEQFRYFAUpBdyRfwdFqUUUphWSHp0e/CJLV8J7T8Gl/wQzrwn+/UVExpmhBPCvj3gVIiJngXU71rHivRXUtdaRsTqDZecuoySnpHd/t6+bDw992O9ByerD1QAYDNMTp3Pl5CspTHUelJyeOJ0w15CehR85+yvgf++DKZfCgq+GthYRkXFiKCthvgpgjInve7wW4hGR8WTdjnUsf2M5Hb4OAOpa6/jGG9+g7EAZYe4wNh/cTGVjJZ2+TgBSo1IpTC3snQawIKWA2PDYUDbhWJ0tzrjviDhY/CS4Q/xmQERknBjKLCh/CzwMdAB+nIV5tBCPiIwr33v3e73hu0enr5OVH6wkwh1Bfko+t826jcK0QuamziUjJmNoc26HirXwwjJo3A6f/R3ETQx1RSIi48ZQujvuB+ZYa+tHuhgRkdGgvr2eioYKKhsqqWiooKKxgv1t+wc91mB481Nv4nF5glzlGXr7Z7BlDSz8Oky7LNTViIiMK0MJ4NuBtpEuREQkFA60HegfthsqONB+oHf/1PipnJN+Dq/Xvk5LV8sx50+MmXj2he/ad+EPD8KMq+GS+0JdjYjIuDOUAP4g8IYx5q9AZ89Ga+2XRqwqEZFhZq1lf9t+tjZs7Q3blY2V1Lc7H+4ZDNMSpnFBxgXkJeeRn5LP7OTZveO2B44BB4h0R7Ls3GUhac9pa2uEVZ+DuAy45SfgGub5xEVE5KSGEsB/AmwANuOMARcRGdWstext3duvZ7uysZLGDufZcZdxkZOQw8WZF5Ofkk9+Sj6zkmadcL7tntlOemdBiTl2FpRRz++H5+6Fljq4+yWITg51RSIi49JQArjHWvtPI16JiMhpsNZS01JDRWNF7xCSysZKmjubAQgzYUxPnM7l2Zf3hu2ZSTOJCos65XuV5JRQklPCxo0bmT9//jC3JAj+8gR89BJc+xhknxfqakRExq2hBPAXAzOhvED/ISiahlBEgspv/ew+vJvKxqPjtSsbKmnpdsZmh7nCmJE4g6smX9UbtmckzSDCrWXV2fkabHgECj4BF/xNqKsRERlxa9+v5bGXPqC2qZ2stzZw/zWzuPmcrFCXBQwtgC8NfH2wzzZNQygiI8rn97Hr8K5+PdtVjVW0drcCEO4KZ2bSTBZNW9QbtnMTcwl3h4e48lGoZT+svhuSp8ON34fRPD2iiMgwWPt+LQ8+u5n2bh8AtU3tPPjsZoBREcKHshDPtGAUIiLjl9fvZWfzzn4921WNVbR72wGIcEcwK3kW1+dcT0FKAXkpeUxPnH72zT4SCj4vrLnHWXTns887i+6IyLgzmnuDh8JaS5fPT0e3n85uHx3dfjq8Pjp6vu8OfO91vv/2usre8N2jvdvHYy99MCraPaRlz4wxc4B8ILJnm7X2lyNVlIicBcpXwfqHuaK5Bt7PduaTnrvkpKd1+7vZ0bSj33jtDxo/6J1dJCositnJs7kl9xbyU/LJS8kjJyEn9Eu2n602fgeqX4ObfwwT8kNdjYiEwEj0Bnf7/HR6+wTfQAju9PYNxIGv3r77ewL0cUL0cfZ3ev1Ye+avxd6m9jO/yDAYykqY3wDm4wTw3wPXAq8DCuAi41X5Kta9fD8r4qPZl5TNRK+PZS/fTwn0C+Hdvm4+avqo30wkHzR+QJe/C4DosGhmJ89m8czFvcNIpsZPxe1yh6ZdY82HL8Fr/w/O/SwULz358SIyJv3bS1WD9gY/9PwWqva19IbmzgFhuW8I7hzQy+zzn34ajghzEelxE+kJfA1zvo/wuEmI8hAZF9F/v8dNZJizv2d7ROAc59y+xzr7bv3xm+w73HHMvTMTT/0B/JEwlC6lxUAR8L619i5jzATgVyNbloiMWn4f6179OsuTYukIzCFd5wljeVIse/7yMMkR9Ibtjw59RLe/G4BYTyx5KXksnb2UvBRnnu0p8VNwGc1DPSKadsOzfwsTC+Hafwt1NSISBK2dXrYfPMK2A0d6v247cIS9TccGUYCWDi9Pvr6DyDB3INz2CcZhbqLC3SRFhxPpcRMxICwPDNARA8JypMc96DERYS5MEJ5D+cq1s/v1+gNEedzcf82sEb/3UAwlgLdba/3GGK8xJh44AEwa4bpEZLRob4Lad2DPJtjzV6h5hxXp8b3hu0eHy8UPo4G3HiE+PJ68lDw+k/8Z8pOdnu3suGyF7WDxdsJvPwfWD7c+BZ7R0eMjImfOWkv9ka5+IXv7wSNsP3CEvc1Hg3aYyzAlJZrpabHsP9zJkU7vMdfKTIzkja8sDGb5QdMztKZ33Hti1Kga9z6UAP6OMSYR+C/gXeAI8OaIViUioWEtNGx3gvaevzqh+2AVTS5DWWQkZclZlE2dTl3XcWYhtZYXP/kHsmKzgtLDIcfxx685y80veRpSpoe6GhE5DT6/peZQW7+ebCdst9Lc3t17XHS4m+lpsczLSSE3PZbpabHkpscwOTmG8DCn02PgGHBweoO/fM3soLcrmG4+J4ubz8kalWs3DGUWlL8PfPtjY8wfgHhrbfnIliUiQdHVBnvfPxq29/wVX3sj2z0eymITKE2aSHliAdXewwC4jZdZ8RlEH2ygbZCAneH1kR2XHexWSF9b1sCmn8KF/wD5N4a6GhE5iY5uHzsOth4N2oHe7J31rXR6jy5AnhobwfS0GK6fm9EnaMeSkRB50g6P0d4bPB4N5SHMS4BSa20rcClwrjFmhbV214hXJyLDq7mmX9hm32YO42NzRASlSRmUZWdT7k+mNfCQZFK4m6L0Im5KK6IorYiClAKiPdGs++Eclkf7+w1DifT7WdaphydDqv4j+N2XYNI8+Pg3Q12NiPTR1NY1aG/2nkNtvbN7GAOTkqLJTY/l8plpTE+L6Q3bidFntsbBaO4NHo+GMgTlP4EiY0wR8M/Az3BmQLliJAsTkTPk64Z95UfD9p5N+A/XUu0Joyw6jrKkDEqnz2aHtwWLxWUsM+ImUJJWRFF6EcVpxUyKmzRoz0rJZV+HnllQwtzOLCiHmim58P4QNFQA59OMVZ+FsAhY/Atwa450kWCz1lLX3HE0ZAd6s7cfPEL9ka7e48LDXOSkxjA3O4FPnJvV25s9LTWGSI86MsaDoQRwr7XWGmNuAv7DWvukMeaekS5MRE5Ra32/sM3e92j1dbI5IpzShHTK0pMpT4vmsL8TgPhwF3PT5nJtWjFF6UUUphYS44kZ2r3mLqEEKFn/MLa5BhObDt4weP17kP0xmHbZyLVTjmUtrPtnOFAJn1kDCfpYWWQkdXn97G5s7deT3fMwZFvX0XHWCVEectNjWTh7AtPTnd7s3LQ4spKicLv0nMx4NpQA3mKMeRD4DHC5McYFqGtFJJT8fjhY1W84iW3czu6wMMqiop3e7Wm5bPO24Mf5bDM3Lo2PB4aSFKUXMTV+6pnNSjJ3Ccxdwqs9H2c27YFfL4ZffQJu/k8oXDw8bZWTe/9pKPsNXPEVyB2bMxqIDKehrgp5pNPL9gG92dsOHmF3QxvePvNgZyZEMj09ltvOn9Tbm52bHktKTLgeSJdBDSWA3wZ8CrjHWrvPGDMZeGxkyxKRfjoOHzMVYFtXC1sjwimLTaIsMYWypJkc8jtTUMV63BSmFrAwvZiitCIK0wqJD48f2RoTJ8Hdf4BnPu0sfX54L1z8f5xBjTJy6sph3b9Azny44suhrkZk1BtsVcivrCnnwwMtZMRH9vZmbztwpN9CLmEuw9TUGGamx3HtnIm9vdk5aTHERGilXjk1x/2NMcYY69gHPN6z3Vq7m8AqmD3HjHyZIuOItXBoZ7/hJHb/VmrDXJRFRFKWNJHSSZP40HcEX6B3e2pcCpcHeraL0oqYnjA9NKtJRiXBZ56FtffCnx6Cw7VwzXdAK1uOjI5mZ9x3dDJ84md6nUVOoq3Ly7fWVR6zKmSH18+PXtkOQEy4m9z0WC7OTenXmz05ORqPW2sZyPA40Vu2V4wxa4DnA6EbAGNMOM5sKHcCrwD/PaIViox13e2wt/TocJKaTXS2HaQiPJzSmATKElIpy51Bvc/piYkKC6MwNY+704ooTi9mbupcEiMTQ9yIPjyR8MmfQ1wmvPVDpyf8Ez/VYjDDzVp4/h+cFS/v+j3EpoW6IpFRpbG1i617m9m69zBb9x6mYm8zO+pbOVG34ZsPXsnE+JNP6ydypk4UwBcBdwMrjTHTgCYgEnADfwSesNa+P/Iliowxh+v6TwVYV8Y+46c0MoKyhHTKJqZRaWPwWmf+1+zYJC4MDCUpSitiRtIMwlyj/ONOlwsWfcd5GPClr8Ivb4alK52eWhkeb/0IKl+Aq78Fky8MdTUiIWOtpbapvV/Q3rr3MHV9VoXMSowiPzOeG4oy+eWbu2hs7TrmOlmJUWQkqKNAguO4/xe31nYAPwJ+ZIzxAKk4y9I3Bas4kbNG+SpY/zBXNNfA+9mw8OvOQ4q+bti/pc9wkrfpbt5NZUQ4ZVExzuwk03LY728HIMLtoSBlJncEpgGcmzaX1KjUEDfuDFz0DxCfCc/+Lfz8Gvj0akiaEuqqzn67/wp/+jrMvh4u+mKoqxEJGp/fsuPgkUDYdoJ2Rd1hmtqclSFdBnLSYrlgWjIFmfEUZCaQnxFPUszRObSnpsQMuirk/dfMCnp7ZPwaUjeatbYbqBvhWkTOTuWrWNczJ3ZStjMn9h//iZI//zs07+Ggv4OyiAjK4lIoS41ja8o0uqzzH/6MmETOCQwlKUorYlbSLDxjbf7mglsgJh2eWQpPfhw+/VvIKAp1VWev1npYfRckZMNNP9RDrjJmdXT7qNrXQkWfsF217zAd3c6ng+FhLvImxnHtnAzyM+MpyIwnb2I8UeEnfhZCq0LKaDDKP8cWGaWshZZ9sH8L6zY8yPKk2N5VIes8YXwtNZHfdDbTMHkStYHebY/LQ35KLrf3TAWYVsSEmAmhbEXwTL0E7n4JfrUYfnEdLPmlpss7HX4fPPs3Tgj//J8gahSN/Rc5A81t3Wytaw6EbSdwbz/Yii8w1V9cZBgFmfF8et6U3p7t6WkxhJ3mQ5FaFVJCTQFc5GR8Xmj4CPZtcVaW3LcZ9m3GttVTG+bmu5kT+y3JDuA1hi0RHhZOupSlgbCdn5JPuPvMlhI+q6XnwedfduYK/80SuPEHUPypUFd1dvnzv8P2DXD9E/oUQc5K1lr2H+7s83Ck87XmUHvvMRPiIyjITOCagom9YTs7KUoPRsqYctIAbox51Fr7wMm2iYwJHYdh/1YnZO93gjYHKsHbQYPLxdaoGDYnZ7AlK4utNplDvo7jXsoCj89//Lj7x6X4DLjrRfifz8DaLzjTFF72LxpGMRTbX4GN/wpzb4fzPhfqakROyu+3VDe09j4cuXWv08Pd0OcByGmpMRRNSuRT8yZTkJlAQWY8qbERIaxaJDiG0gP+cWBg2L52kG0iZw9rnfAX6M3u/XNoJwCtxlARn8rm5Ey25Baxxd9KXfdhAAydTI/N5orUOcxJmcOP332Ceu+RY24xMVzDAwYVGe88jPm7L8KGb0FzLVz37+DWB3LHdXgvrPk8pM2G6x/XGxYZdTq9Pj7af6TftH+VdYd7l2X3uA0zJ8Rx5ex0p1c7K4G8jHhitYCNjFMnWojnC8DfAznGmPI+u+KAv4x0YSLDxtcNBz84GrJ7erbbDwHQBXyQNo0taRlsyZ7KFl8LO9sPYrHAIbI8WcxNvYhPpcxhTuoc8lPyifZE914+NjyW5a8/RIft7t0WaTwsu/DBIDf0LBIWDrf8xJkh5fXvOePpFz8J4TGhrmz08XXDb+9y5otf8pReIwm5lo5uKuta+oXtbQda6PY547Vjwt3kZ8az5GOTeh+OnJEeR3iYFrER6XGit56/AV4E/hX4Sp/tLdbaxhGtSuR0tTc50/719mqXO+Hb53zk6QuLZOeEmWzJOZ8tER62eFv4oLUGr98L3TUku5OZkzqHRamLmZMyh4LUApIjTzx3dUlOCQAr3ltBXWsdGTEZLDt3We92OQ5j4KrlEJ8FL34ZnroBPrUKYs7iaRdHwvpvwp634JNPQpqmSZPht/b92qMzgry1od+MIAdbjo7X7pmNpLqhrffc1Nhw8jMTmD8rrXe89pTkaFwufUojciInmge8GWg2xgwcahJrjIntuzqmSNBZC027Ag9G9hlC0nz019LGpLF3Qh5bim5ki8fNFm8zFYerafM2QVsTMd0xFKQUcMeUBcxJmUNhaiETYyae1oM+JTkllOSU6In603HB3zg94avvcaYp/MwaSM4JdVWjQ+X/whs/gPM/D4WLQ12NjEFr36/tNyd2bVM7//LbMn7y6nYaWrs40NLZe+yk5CgKMhL45LnZFGQ5YTs9LkIPR4qchqEMvlqH8zyZwVkJcxrwAVAwgnWJHOXtdB6E7NezvQU6mwMHGEidQWN2MVvyr2JLmJst3YfY2ryNxo5qOFSNx+VhdvJsbpx+I4VphcxJmcPUhKm4jD4SHRVml8CdLzizo/zs405PePZ5oa4qtBp3wtq/h8xz4JrvhLoaGUO8Pj876lvZureZr63d0m9BGv5/e3ceH3V1/X/8dbKHhBCSQBJ2EAQSkN0VEFwAxQp1x1o3WvVbpVitqG2t1m60aivVamtbRH+1UOoublCUirsiW1gEVBRCEgiQhISQ9f7++HwSAiQQIJnJ8n4+Hjwy85nPzJzLJJmTO+eeC5RXOjZuL+TCwZ2qF0b2T42jXXQL26NAJIiOmIA75wbWvG5mQ/Fqw0Ua3t5dfqu/Gsl27udQWe7dHt4GkgdQNGAya+MSyQgLIaNkJxm71rGtaAXsBcM4If4ERncZzQC/bvvE9ie2vA1uWpquI2DqIvjnRfDUBXDJk9B3QrCjCo6yfTD/aq9M59KnIExdIeTYlJRXsCHbWxyZ4ZeSrMvav5lNXSoqHX+4bHCAohRpfY56+bFz7jMzO6UxgpEWoq5t2WuqrPQ6jlQvjPQT7oLM/ee0TYWUgZSeeC4b4jqQEeJYXZzFmp1r+XLXEtwub8FP59jODOwwkCn9ptS6SFKakaTeXq/wf13m7Zx5wR9bZ8u9N+70/hCd8m9o3z3Y0UgzUVRSzrosb1FkRmY+GdsK2Jizh/KqzWwiw0irsZnNgM7tuPbJj9mWd2g71U7x0YEOX6RVqU8f8NtqXA0BhgLbGi0iad5WzYdXfghlxRhA/hZ4+Ydesh2bvL98JCcDSv3WfRYKSSdC9zOoSE5nc7uOZIRUsnrPZtbkruHzrFcoy/Q6jCREeYskx/ccX+9FktLMxHaEaxZ4262/Mt1rUzj2J62n9d7Kf8OyOXDGra33EwA5ory9pdW9tTMyC8jYls9XuUU4L9cmMSaC9M7tGNu3A+md2jGgcxxd2x+6OHLG+H4H1IADRIeHcsd4LfgVaUz1mQFvW+NyOV5N+HONE440e4vv99ql1VReDG/7NawRbSFlAAy+Epc8xG5dbQAAIABJREFUgKx2qay2Etbs3kjGzgzWfD2XveXeCvuY8BjSEtO4Ku2q414kKc1MZCxcMRcW3Arv/N77ZORbs6CllxFtX+eNufsZcNY9wY5GmojtBfu88hE/0c7ILCAzb//v2c7x0aR1imPSoM7VM9vJcfVbHFnV7aS6C0p89AFdUESkcdSnBvwXAGYW5111exo9KmmeyvZB/hZejWnDrPbxZIeFklJewfTdeUws2suuG5eQUV7Amp1rWZ27mjWbZrNrn9fRsuYiyQFJXrKtRZKtXGiYt119uy7eDpB7suCypyGy7ZHv2xyVFHp13xGxcMlsbUzUCjnn2Lq72C8fyfdLSQrILdzfiaRXUgxDusXz3dO6M6BTO9I6xZEQE3Fczzt5SGcmD+msLk4iAVSfEpThwJP4M+Fmlg9Mdc592sixSXNRVux9ZP7uw7wa04b7khLYF+IlzlnhYfykQyIzkxLJW3g1sH+R5KjOoxiYNFCLJKVuZjDmLq9X+CvT4cnz4Tv/gbYpwY6sYTnnjW/nJrj6pZY3PjlERaXjq9xCr3wkM7+6nKRgn7fgPDTE6NMxljNP7MAAv+Vf/9S2tI3S70mRlqA+UyyzgR8455YCmNlI/9hJjRmYNAOle2HZk/DeLCjMge4jeTh8B/sqDixBqTRjX0gYtw+dTnpSOmmJacSEazc/OQpDv+slpfOv8doUXvUcdDgx2FE1nE//ARnPemUnPUcHOxppYDW3ac/I9BLtdVl7quuuI8NC6JcaxwWDOjHAr9c+MbktUeGhQY5cRBpLfRLwiqrkG8A5966ZlTdiTNLUlRbBp7PhvT9B0XboMYqSi/7K/H1byf7k97XepcRVcO2AawMbp7Qsfc6Faxd4HVJmj4Mp86DbqcGO6vhlfgZv3A19xsHI2458vjRpe0sP7ESyZlsBG3L2b9Me63cimXJyt+p67RM6xBAWqnI7kdakPgn4/8zsr8BcvA15LgeW+P3Acc591ojxSVNSWgSf/N1LvPfmQs8zKRs9m5fKcvjLsl+TszeHiJAISitLD7lrSow+UpcG0Hmo3yv8YnjqQrj475B2YbCjOnbFu+E/13gdgr79VwhREhZsh9uW/WD5e8uqt2mvqtn+YkdhdSeShJgI0jvF8b1Rvbxku1M7ummbdhGhfgn4IP/rvQcdH4KXkJ9V253MbDZwAbDdOTfAP5YA/BvoAWwGLnPO7TZvqfYs4HxgL3BtVWJvZtcAP/Mf9lfOuaf848OAOUA08Bow3bmqX3vSoEoK4ZO/eVti790JvcZSceYMXq/YxWPLf8uWPVs4qcNJ/Hrkr8ktzuW+9+9jX8X+vrJRoVFMHzo9iAOQFiWhp5eEz73CW7R43u/glBuDHdXRq6yEF26Cgiy4/g1oo3aawVbbtux3P78agNN7J7Imc3/bvzVZ+WzZtb/crlO7KNI6teOCk1Kr2/6lxEWpa5OI1Ko+XVDGHuNjzwEeBZ6ucewuYLFzbqaZ3eVfvxM4D+jj/zsFeBw4xU/Y7wWG4yX7y8zsZefcbv+c7wMf4SXgE4DXjzFWqc2+Avj4Cfjgz1C8C044G3fmnbxFIY8uf4BNeZvo274vj571KKO7jD7gjWbWZ7PIKsoiNSaV6UOnM7HXxCAORFqcmERvseLz34fXZ0D+VjjnF81rBvn9WbDhDTjv99BleLCjEbxWfAdvy15cVsFt81dQWWN6p2dSDCd1iefKk70NbdI7xZEYq91KRaT+6tMFJRK4GG/Wuvp859z9h7ufc+4dM+tx0OFJwBj/8lPAErwEfBLwtD+D/aGZxZtZqn/uIufcLj+WRcAEM1sCxDnnPvSPPw1MRgl4w9hXAB/9FT78s/cReZ9xuNEz+CCkjEeWP0zGzgx6xPXggdEPMK7HuENaBU7sNZGJvSaqpZU0rog2XlvC12fA+3+Cgm0w+bHmsW375vdg8S8hbTKcfEOwo2nVCkvKWbUljxVb8w7orV1TpYOfX5BGeqc40jrFqROJiBw3O1LVhpm9AeQDy4DqqQHn3ENHfHAvAV9QowQlzzkX7182YLdzLt7MFgAznXPv+rctxkvMxwBRzrlf+cfvAYrxEveZzrlz/OOjgDudcxfUEccNwA0AycnJw+bNm3ek0BtcYWEhsbGxAX/eoxFaXkSXra/QZevLhJcXkZs4gq+7X87KiFBeyXuFTSWbSAhN4Lz48xgRM4JQO/wK/eYw5oamMQeBc3Td8jwnfPk0u+MHsib9LsrDGzee4xlzRMluhi37ERWh0Swb9hAVYW0aOLqGF/TXuIFUVDoyCyv5Mr+SL/Iq+TK/gm2Fjqp3wRDjgJnuKolRxkNjmv7rdLxayut8NDTm1iFYYx47duwy51ytH3HWpwa8i3OuwfdDds45MwtIzbZz7gngCYDhw4e7YMzKNunZ4OI8+PBx+ORxKMmHvufDmTPYERnFP5Y/wtLMpSRGJXL3yXdzyYmXEBFav00fmvSYG4nGHCxjYeVI2r90MyM3/hq+8yy0a7yd/I55zJUV8PQkqNwHU19lVHJ6g8fWGJrGa3z0svKLWfFNHiu25LF8Sx6rt+ZXl5i0bxPOoK5JXNo1nsH+vyWf76h1W/Z7Jg1kTCvYGbK5vs7HQ2NuHZrimOuTgL9vZgOdc6sb4PlyzCzVOZfll5hs949nAl1rnNfFP5bJ/pKVquNL/ONdajlfjsbeXV7i/dFfoKQA+l0AZ87gy+i2PLriURZ9vYi4iDhuHXorU/pNoU14y58BkmZs0OXQNhnmXQX/ONdLwpPTgh3Vgd7+DWxeCpMeg2aSfDcXhSXlrNrqJdsrvslj5dY8cgq8HSQjQkNI6xTH5SO6Vifb3RPbHLJAUtuyi0ig1JmAm9lqvIWPYcB1ZvYlUAIY3gT2sWzE8zJwDTDT//pSjeO3mNk8vEWY+X6S/ibwGzNr7583DrjbObfLzArM7FS8RZhXA48cQzyt095d3sLKj/4KpXug/7dg9Ay2xibw+MrHWfDlAqJCo7hp0E1cnXY1bSNa6Nbf0vL0GgPXvw7PXAqzJ8AV/2w6G9tsXARLH4Qh34Uh3wl2NM1aRaVjQ86e6mR7xZY8Nm7fU10+0iOxDaf1SvSS7W7t6Z/alsiw+m1qo23ZRSQQDjcDXms9dX2Z2Vy82eskM9uK181kJjDfzKYCXwOX+ae/hteCcBNeG8LrAPxE+5fAJ/5591ctyAR+wP42hK+jBZhHVrQTPnjU62xSWghpk2D0DLbHdeSJVU/w3MbnCLVQrk67musHXE/7qPZHfkyRpiZloNem8JlLvH7hkx+HgZcEN6a8LV7HluSBcP4DwY2lGcrO38eKLbtZ7ifcqzPz2VvqlYnEtwlnUJd4JgxIYXC3eAZ3iad9TP3K5EREgqXOBNw59zVU9+4+2J4jPbBzbkodN51dy7kOuLmOx5kNzK7l+KfAgCPFIUBRrtfD++O/QdleSJ8Mo2ewu10qszNmM3f9XCoqK7j4xIv5/sDvkxyTHOyIRY5PfFevt/a8q+C5qV6HlNOnQTB6MpeXwn+uhYpyuOwpCI8OfAzNSFFJOau25rNiSx4rt3iz29kF3r4C4aFGWqd2XDqsi5dsd21Pj1pKSUREmrr61IB/hlefvRuv/CQeyDazHOD7zrlljRifHI/CHV57tk/+DmXFMOAiGD2DwvguPL32aZ5e/DTF5cVc0OsCbhp0E13bdj3yY4o0F9Ht4bvPwws3wqJ7oCATxv8GQupXitBgFt0DmZ96LRMTTwjsczdxFZWOjdv3VJeRrNiSx4ac/aUk3RPbcEqvhOq67bROcfUuJRERacrqk4AvAp51zr0JYGbj8PqCPwk8hlezLU1J4XZ4bxZ8OhvK98GAS2D0jylu34256+cy+63Z5Jfkc273c7l58M2cEK+kQFqosEi4eDbEdfbKrwq2wUVPBG4Wes0L3iLnU3/glXy1cl4pSVWyvZvVW/Mp8ktJ2kWHM6hrPOPSUxjSNZ5BXeNJUCmJiLRQ9UnAT3XOfb/qinNuoZk96Jy70d+kR5qKPTn7E++KEhh4GYz+MWXte/Dsxmd54u2byC3OZWTnkUwbMo20xCbWIUKkMYSEwPhfe0n4mz+BpyfDlLmNv/V77iZ4aRp0GeHt0tnK7C3dX0pSNcN9QClJahyXDOvCIH92u2dSjEpJRKTVqE8CnmVmdwJVu9dcjtdOMBSobLTIWogXl2fub2n14VuN09KqIMtLvJc9CRVlcNLlMPrHlLfvzitfvMJfltzCtqJtDEsexkNnPsTQ5KEN+/wizcFpP4C4VHj+Rpg93mtT2L574zxX6V6YfzWEhsOlcyCsZc/kVlQ6Nm0vZMWW3V7P7W8OLCXpltCGk3v6pSTd4klLjSMqXKUkItJ61ScBvxKvg8mL/vX3/GOh7O9iIrV4cXnmAZs6ZOYVc/fzXjv1BknCC7bBuw/DsjlQWQ6DpsCo26hM6MnCrxfy53duZXPBZtIT07n3tHs5rdNpmmGS1i392xCbDHOv8HuF/wdSBzX887z2Y9i+Fq56Ftp1OfL5TVRdEwg5BTVKSb7JY9XWvOpSkrioMK+UJC2Zwd3iGdQlnsRYfVgqIlLTERNw51wuMK2Omzc1bDgtywNvfn7AjmoAxWUVPPDm58eXgOdvhXf/CJ89Da7ST7xvx7XvwdLMpTyy4C7W71pP7/jePDzmYc7qdpYSb5Eq3U+H6xd6bQqfPN/rTNL7nIZ7/M/+H6x4BkbPaNjHDbDaJhBum7+Ce1/OIL+4HICwECOtUxwXD+vCoC7e7HbPxBhCQvT7RkTkcI6YgJvZ23gb8hzAOXdWo0TUgmzLKz6q40eUtwXe/QMs/6eXeA/+Doy6Hdp355PsT5j1+j2s3LGSLrFd+O2o33Jej/MIDXTHB5HmoGM/v1f4pfCvy+Fbf2qYzXGyV3uz3z3PhDF3Hf/jBVBFpePrnUWsz97D+qwCnnjnS/aVH1hlWOmgtNxxzwVpDO4aT3onlZKIiByL+pSg/LjG5Si8DijljRNOy9IpPprMWpLtjnFH+XFs3jew9CFY/ox3fchVMOo2iO/G6h2r+dPC7/Nh1od0bNORn5/2cyb3nkx4SHgDjECkBYtLheteg/nfhZd+4JV0jf7xsfcK35fv1X1Ht4eL/xH4dodHIX9vGeuzC1ifvYd1WQWsy97Dhuw91bPdIUZ1/fbB9pVVMHVkzwBGKyLS8tSnBOXgPt/vmdnHjRRPi3LH+L4HfIRbJa+olFdWbuNbgzod/gF2b/YS7xX/AguBYdfAGbdCfFc+3/U5j741jSVblpAQlcCMETO4rO9lRIaq1lKk3qLi4Mr/wMvT4O1fQcFWOP8hCK3P3EQNzsFLt8Dur+HaVyG2Q+PEe5TKKyrZvHMv67IKvIQ7y0u4t+Xvqz4nvk04/VPimHJyN/qltqV/Shx9kmM5+6H/1TqB0CleGwmJiByv+pSg1OzVFQIMA9o1WkQtSFWdd/Uipvhorh/Zg1dXZTFt7nLe3ZjLvRem0SbioJdh11ew9EFYOQ8sFIZf7yXe7TrzdcHX/PmdGbzx1RvEhscybcg0rup/FW3C2wRhhCItQFgEfPsvENfJK/Hakw2XzIaImPo/xkd/gXUvw7m/hO6nNV6sh7G7qJR1NZLs9dl72JCzhxK/jCQ0xDihQwwjeibQLyWOfqltSUuNo2PbyFrXiNQ2gRAdHsod4/sGbEwiIi1VfaZ5luHVgBte6clXwNTGDKolmTykM5OHdGbJkiWMGTMGgKtP68HD/93AY0u+YNk3u3n0yiH0S4mDnV94M94r50FIGIz4HpwxHeI6kVWYxV/fv48XN71IRGgEUwdO5dr0a2kXqb+FRI6bGZxzL7TrDK/dAU99C6b8u34z2Vs+hoU/g74Tve3uG1lZRSVf5RZ5pSNZe6pntqt6bAMkxkTQPzWO757anf6pXrLdu2PsUe0iWdsEQqO0URURaYXqU4KiYr8GFh4awh3j+3H6CUnc+u8VTHv0Wf7S7S16Zb2GhYbDKTd6iXfbFHKLc/n7xzOZ//l8AKb0m8LUgVNJik4K8ihEWqAR34O2qfDsVK9N4VXPHX77+KKd8J9rvU1+Jj927PXjdcgtLGG9n2Sv82e2N20vpLTCm9UODzVO6BDL6Sck0i+1bfXMdse2UQ3y/LVNIIiIyPGrTwlKOPB/wGj/0BLgr865skaMq1U4I343S/vMJWLt85RkhvHf+G9z8nfuo13HruSX5DPns1k8s+4ZSitKmdx7MjeedCOpsanBDlukZes3Ea55Bf51GfxjHFw5H7oMO/S8ykp4/vtQlAtTF0J0/DE/ZWl5JV/sKDwg0V6fvYcde0qqz+nYNpJ+qXGM6pNUPavdKymWiLCQY35eEREJjvqUoDwOhAOP+de/6x/7XmMF1aKsmg+L7+fM/K2wvAuc/XNv4493HoCM54gKi8KddjPPhU7iF2/vIGn2Ks497Tn+mzmfwrJCJvScwM2Db6Z7XCPt2Ccih+o6wmtT+M+LYM5EbzfLvhMOPGfpg/DFYrjgj9BpcL0e1jnHjj0lrPNb/VV1Idm0vZByv+1IRGgIfZJjGd2nA/1T23rJdkpbbWYjItKC1CcBH+Gcq7lV3FtmtrKxAmpRVs2HV34IZcUYQP4WeOEmcBUQHuPVi542DYvtwKUVJWS2mcMzn8/hhc2FdI86mdnjZ9AvUQueRIIiqTd877/eTPi8KTDxD97CzMX3c2b+Fu+cLqfAsOtqvfu+sgo2bS+sTrKrarV3FpVWn5MSF0X/1LaM7deRfineosgeSTGEh2pWW0SkJatPAl5hZic4574AMLNeQMUR7iMAi++HsoPaeLkKiGwLP1wJMYmUVZbx4ob/8JeVf2H73u2MSD2Fyl0TWLI8mvvyd/Hw5ftIadcw9ZwicpRiO8I1C+DZ62DBrVRaGCGunKpK7/KslYSu/g853S9kXXaBl2j7Ndtf7Ciiwp/VjgwLoW9KW87u39Gf0fZmtdvHRARvbCIiEjT13YjnbTP7Eq8TSneg9ikfOVD+1tqPlxRSER3P618u4LEVj7FlzxYGdxjMzFEzGZEyAuccz564lZ+/tIbzZr3DQ5cN4qx+yYGNXUQ8kbFwxVzKf9OVsIq9B9wUVrGPzOfu5oyS/S0LO8dH0z+1LePSUqoXRvZMiiFU27OLiIjvsAm4mYUCg4A+QFUtxOfOuZK67yXV2nXh1fKdzGofT3ZYKCnlFfxwdx7R0Yk8+solbMrbRL+Efvz57D8zqvOo6l68Zsalw7sytHt7bvnXcq6f8ynXn9GTO8/re1RtxETk+JVVVPLhl7s5o7wYasmhU9nJLy5Mp39qHH1T2tIuWrvQiojI4R02AXfOVZjZFOfcH4FVAYqpxXh1yLe576sX2OfPfGWFh/GTDok4M3q6Ch4880HO7X4uIVZ7vecJHWJ54QenM/P19cx+7ys+3ryTR6YMpWfSUWwQIiJHrbi0gnc27uDNjGz+uy6Hgn3lvBuRSBfLPeTcbS6Ra07vEfggRUSk2apPCcp7ZvYo8G+gqOqgc+6zRouqhZiV+1F18l3FmdEush3PX/g8YSFH/u+PCg/lvgvTOf2ERGY8t4oL/rSUX04ewEVDuzRW2CKtUn5xGW+v384bGdn8b8MOissqaBcdzrlpKUwYkMLfnruKO8sfo43tX0S510Xw94iruC94YYuISDNUnwS8qr/W/TWOOeCshg+nZckuyq71eEFJQb2S75rGpacwsEs7ps9bwW3zV/LuxlzunzyA2MijexwR2W/HnhIWrc3hjTXZfPBFLmUVjo5tI7lkWBfGp6dwSq+E6o4kRSU38PMXyrnVzaOT7WSbS+RhrmDkxBuCPAoREWlu6rMT5thABNISpcSkkFWUVevxY5HaLpq53z+VR97ayJ8Wb2T5ljwemTKEAZ21Hb1IfW3ZtZc312Tz5ppsPv16N85B98Q2XH9GT8YPSGFwl3hCalkw6W3B/gMuf/Nsbc0uIiLHpT47YUYCFwM9ap7vnLu/rvuIZ/rQ6dz3/n3sq9hXfSwqNIrpQ6cf82OGhhi3nnMip/VKZPq8FXz7sfe4+7z+XHdGj+pFnCKyn3OOTdsLeSMjmzfWZLNmWwEA/VLaMv3sPoxPT6FfStt6/fxoa3YREWkI9alfeAnIB5YB6n5yFCb2mgjArM9mkVWURWpMKtOHTq8+fjxO6ZXI69NHccezq7h/wVre25TLA5cOIkF9hUVwzrFqaz5vrMnmzYxsvsz1lq8M7RbPT87vx/j0FLonajGziIgER30S8C7OuQlHPk1qM7HXRCb2mtgoM2btYyL429XDeOr9zfzmtfWcN+sdHr58CKedkNigzyPSHJRXVPLJ5t3V5SVZ+fsIDTFO65XIdSN7Mi4tmeQ4bWolIiLBV58E/H0zG+icW93o0chRMzOuPaMnI3omMG3ucq78+4dMG9ubH57dhzBtZy0t3L6yCt7/Ipc3MrJZtDaH3XvLiAwLYfSJHfjxuL6c3b8j8W30qZCIiDQtdSbgZpYBVPrnXOfvhFmCtxWFc86dFJgQpT7SO7XjlVtGcu/La/jTW5v44MudPHzFEDrHRwc7NJEGVVhSzpLPvXaBb6/fTlFpBW0jwzirf0cmpKdwZt8OtIlQdyAREWm6Dvcu1Zn9LQilGYiJDOPBSwcxqk8SP30hg/NnLeV3F5/EhAHH1nVFpKnYVVTKf9fl8GZGNks35VJaXkliTAQXDu7E+PQUTjshUbvEiohIs3G4BPwr59zXAYtEGsykwZ0Z1CWeaXOXc9M/l/HdU7vz04n9iQpXgiLNR1Z+MQvX5PBGRjYffbWTSged46O56pTuTBiQwrDu7QmtpV2giIhIU3e4BLyjmd1W143OuT80QjzSQHokxfDc/53OA2+u529Lv+KTzbt49Moh9O7YNtihidTpyx2FvLnG2xhn5ZY8AHp3jOUHY3ozYUAK6Z3i1G5TRESavcMl4KFALF7NtzRDEWEh/HRiGqf3TuLH81fyrUfe474L07hseFclMdIkOOdYs62AhWu8Ht0bcgoBOKlLO+4Y35fx6Sn07hgb5ChFREQa1uES8CxtttMyjO3bkdenj+JH81dw53OrWboxl99cNJC4qPBghyatUGWl47NvdldvjLN1dzEhBiN6JHDvt9IYl56ixcMiItKiHS4B1xRpC9IxLoqnrz+Fv/zvC/6waAMrt+bxyJShDO4aH+zQpBUoLa/kwy938saabBauySG3sISI0BDO6J3ItLN6c07/ZBJjI4MdpoiISEAcLgE/u7Ge1MxmAxcA251zA/xjCcC/8ba83wxc5pzbbV6txCzgfGAvcK1z7jP/PtcAP/Mf9lfOuacaK+aWIDTEuHlsb07tlcAP567gksff58fj+3LDqF6EaDGbNLDi0gr+t2EHb67J5r/rctizr5w2EaGM7duR8QNSGNu3A231KYyIiLRCdSbgzrldjfi8c4BHgadrHLsLWOycm2lmd/nX7wTOA/r4/04BHgdO8RP2e4HhgAOWmdnLzrndjRh3izCsewKvTR/FXc+tYubr63lvUy5/uGwwHdpqBlLq78XlmTzw5udk5hXT+cO3uGN8X8b268hb673OJf/bsIN9ZZXEtwlnfHoKE9JTGNknSd14RESk1QvKbhXOuXfMrMdBhycBY/zLTwFL8BLwScDTzjkHfGhm8WaW6p+7qOoPBTNbBEwA5jZy+C1Cu+hwHvvOUP718Tfc/8pazpu1lD9ePohRfToEOzRpBl5cnsndz6+muKwCgMy8Ym6bvwLnvL+Gk+MiuWx4Vyakp3ByzwTtyioiIlKDeXltEJ7YS8AX1ChByXPOxfuXDdjtnIs3swXATOfcu/5ti/ES8zFAlHPuV/7xe4Bi59yDtTzXDcANAMnJycPmzZvXyKM7VGFhIbGxTbObw9Y9lTy2ch/bCh3n9wznoj7hhDVASUpTHnNjaS1jvvXtveSVHPq7IyoU7hgRRc92IYS04E47reV1rtLaxgsac2uhMbcOwRrz2LFjlznnhtd2W5Pcr9k558yswf4ycM49ATwBMHz4cDdmzJiGeuh6W7JkCcF43vq6eHwF9y9Yy9yPv2FbeQyPTBlC14Q2x/WYTX3MjaGljtk5R0ZmAQvXeosoa0u+AUoqYOrkRls+0mS01Ne5Lq1tvKAxtxYac+vQFMfclBLwHDNLdc5l+SUm2/3jmUDXGud18Y9lsr9kper4kgDE2SJFR4Ty24sGMrJ3Enc9v4rzZy3lNxcN5FuDOgU7NAmSsopKPv5qFwvXZLNwbQ5Z+fsIMTi5ZwLtosPILy4/5D6d1D5QRETkiJpSAv4ycA0w0//6Uo3jt5jZPLxFmPl+kv4m8Bsza++fNw64O8AxtzgTT0rlpC7tmD5vOdPmLue9Tbnc+610oiO0cK41KCop550NO1i4NofF63Io2FdOVHgIo/t04PZxfTmrX0cSYiIOqQEHiA4P5Y7xfYMYvYiISPMQlATczObizV4nmdlWvG4mM4H5ZjYV+Bq4zD/9NbwWhJvw2hBeB16XFjP7JfCJf979jdy5pdXomtCGf994Gn9ctIHH//cFn369m0evHEK/lLhghyaNILewhMXrcli4Joelm3IpLa+kfZtwxqWnMC4tmVF9OhzyB9jkIZ0B9ndBiY/mjvF9q4+LiIhI3YLVBWVKHTcdUjzqdz+5uY7HmQ3MbsDQxBceGsKMCf04/YQkfjR/BRc++h73XJDGVad00zb2LcDXO4tYuCaHhWuz+fTr3TgHneOjueqU7oxLT2Z49/ZH7FwyeUhnJg/p3CRr60RERJqyplSCIk3QyD5JvD59FLfPX8k9L2bw3sZcfnfxSbRrow1UmpODF1F+nrMHgP6pcfzwrD6MT0+hf2pb/XElIiISAErA5YiSYiN58toR/OPdr/jdG+s5/09LmXXFYIb3SAh2aHIYZRWVfPLVLhauzWHhmmy2+YsoR/RI4J6wCazOAAAVHUlEQVQL0hiXlnzcnW5ERETk6CkBl3oJCTG+P7oXJ/dMYNrc5Vz+xIfcenYffjC2N6Haxr7J2FvqL6Jck8Pi9dvJLy4jMiyE0Sd24EfnnsjZ/ZNJiIkIdpgiIiKtmhJwOSqDusbz6g9H8tMXMnho0Qbe/2InD18xmOS4qGCH1mrtLCxh8brtLFybzdKNuZSUe9u/n9M/mXHpyYzqk0SbCP2oi4iINBV6V5aj1jYqnFlXDGZknyTufWkN581ayoOXnsRZ/ZKDHVqr8c3OvdX13J9+vYtKfxHllad0Y1xaCiN6HHkRpYiIiASHEnA5JmbGZcO7MrRbe27512dcP+dTpo7syYwJfYkMU8/whuacY822gupNcdZn719EOe2sPoxLTyYtNU6LKEVERJoBJeByXHp3jOXFm8/gt6+t4x/vfsVHX+1k0qDOzHl/s9cf+sO31B/6GNW1iHJ4jwR+NrE/49NTtIhSRESkGVICLsctKjyUX0wawBm9k5g+bzm/fm1d9W2ZecXc/fxqACXh9VDXIspRfTpw67kncna/jiTGRgY7TBERETkOSsClwYxLTyEuOpzispIDjheXVfCTF1bzxY5CEmMiSIiNJCkmgsTYSBJiImjfJrxV1yvXtoiyXXQ4Z/fvyLi0FEafqEWUIiIiLYne1aVBbS8oqfX43tIK/vz2JirdobeZQfs2EV5yHhNBUmwkibERJMZEkhAbcUCynhQbQVxUOCHNvPVh9SLKtTl8unn/IsopJ3djXHoyJ/dIaNV/lIiIiLRkSsClQXWKjyYzr/iQ453jo1k6Yyx5xWXsLCwht7CUXUWl7CzyLu8sLPGuF5ayLruAXUWl5O0tq/U5wkKMhFqSde+rl6zXvBwTERr0xYnViyj9eu6qRZT9Utpyy1l9GJeWTHonLaIUERFpDZSAS4O6Y3xf7n5+NcVlFdXHosNDuWN8X0JqJM596tGxsKyikt1FpXUm67mF3rEtW/ays7CUwpLyWh8nMizkoMS87mQ9MSaCqPCj7+Ly4vJMHnjz8wMWnl5wUiofb97FwjU5LFqbQ2Ze8QGLKMelpdAtUYsoRUREWhsl4NKgqhZaViej8dHH3AUlPDSEjnFRdKznJj/7yirYWVTKrsJScotK2FlLsr6zsJSNOYXsKCyhtLyy1seJiQg9MFmPifAux0aSFOv9AZEY411uHxPBq6uyDvijIzOvmNvnr+Tu51dRXFZZvYhy+jl9tIhSRERElIBLw5s8pDOTh3RmyZIljBkzJmDPGxUeSuf4aDrHRx/xXOccRaUV7CwsYadf+nLAZT9Zz8wrZtXWPHYVlVJeWwE7Xg27O+imCueAEP5y1VBGn9hBiyhFRESkmrICaZXMjNjIMGIjw+ieGHPE8ysrHQX7ympN1v/43w213mdfWQUTBqQ2dOgiIiLSzCkBF6mHkBAjvk0E8W0iOKHDgbfN/3RLrQtPO9VjJl5ERERaH/U5EzlOd4zvS/RBCzerFp6KiIiIHEwz4CLHqSEXnoqIiEjLpwRcpAEEa+GpiIiIND8qQRERERERCSAl4CIiIiIiAaQEXEREREQkgJSAi4iIiIgEkBJwEREREZEAUgIuIiIiIhJASsBFRERERAJICbiIiIiISAApARcRERERCSAl4CIiIiIiAaQEXEREREQkgJSAi4iIiIgEkBJwEREREZEAUgIuIiIiIhJATSoBN7PZZrbdzDJqHEsws0VmttH/2t4/bmb2JzPbZGarzGxo8CIXEREREamfJpWAA3OACQcduwtY7JzrAyz2rwOcB/Tx/90APB6gGEVEREREjlmTSsCdc+8Auw46PAl4yr/8FDC5xvGnnedDIN7MUgMTqYiIiIjIsTHnXLBjOICZ9QAWOOcG+NfznHPx/mUDdjvn4s1sATDTOfeuf9ti4E7n3Ke1POYNeLPkJCcnD5s3b15AxlJTYWEhsbGxAX/eYNKYWweNueVrbeMFjbm10Jhbh2CNeezYscucc8Nruy0s0MEcD+ecM7Oj/ovBOfcE8ATA8OHD3ZgxYxo6tCNasmQJwXjeYNKYWweNueVrbeMFjbm10Jhbh6Y45iZVglKHnKrSEv/rdv94JtC1xnld/GMiIiIiIk1Wc0jAXwau8S9fA7xU4/jVfjeUU4F851xWMAIUEREREamvJlWCYmZzgTFAkpltBe4FZgLzzWwq8DVwmX/6a8D5wCZgL3BdwAMWERERETlKTSoBd85NqeOms2s51wE3N25EIiIiIiINqzmUoIiIiIiItBhKwEVEREREAkgJuIiIiIhIACkBFxEREREJICXgIiIiIiIBpARcRERERCSAlICLiIiIiASQEnARERERkQBSAi4iIiIiEkBKwEVEREREAkgJuIiIiIhIACkBFxEREREJICXgIiIiIiIBpARcRERERCSAlICLiIiIiASQEnARERERkQBSAi4iIiIiEkBKwEVEREREAkgJuIiIiIhIACkBFxEREREJICXgIiIiIiIBpARcRERERCSAlICLiIiIiASQEnARERERkQBSAi4iIiIiEkBKwEVEREREAkgJuIiIiIhIACkBFxEREREJICXgIiIiIiIBpARcRERERCSAlICLiIiIiASQEnARERERkQBSAi4iIiIiEkDNIgE3s9lmtt3MMmocSzCzRWa20f/aPpgxioiIiIjUR7NIwIE5wISDjt0FLHbO9QEW+9dFRERERJq0ZpGAO+feAXYddHgS8JR/+SlgckCDEhERERE5Bs0iAa9DsnMuy7+cDSQHMxgRERERkfow51ywY6gXM+sBLHDODfCv5znn4mvcvts5V2sduJndANwAkJycPGzevHmNH/BBCgsLiY2NDfjzBpPG3DpozC1faxsvaMythcbcOgRrzGPHjl3mnBte221hgQ6mAeWYWapzLsvMUoHtdZ3onHsCeAJg+PDhbsyYMQEKcb8lS5YQjOcNJo25ddCYW77WNl7QmFsLjbl1aIpjbs4lKC8D1/iXrwFeCmIsIiIiIiL10iwScDObC3wA9DWzrWY2FZgJnGtmG4Fz/OsiIiIiIk1asyhBcc5NqeOmswMaiIiIiIjIcWoWM+AiIiIiIi2FEnARERERkQBSAi4iIiIiEkBKwEVEREREAkgJuIiIiIhIACkBFxEREREJICXgIiIiIiIBpARcRERERCSAlICLiIiIiASQEnARERERkQBSAi4iIiIiEkBKwEVEREREAkgJuIiIiIhIACkBFxEREREJICXgIiIiIiIBpARcRERERCSAlICLiIiIiASQEnARERERkQBSAi4iIiIiEkBKwEVEREREAkgJuIiIiIhIACkBFxEREREJICXgIiIiIiIBpARcRERERCSAlICLiIiIiASQEnARERERkQBSAi4iIiIiEkBKwEVEREREAkgJuIiIiIhIACkBFxEREREJICXgIiIiIiIBpARcRERERCSAlICLiIiIiASQEnARERERkQBq1gm4mc02s+1mlhHsWERERERE6qNZJ+DAHGBCsIMQEREREamvZp2AO+feAXYFOw4RERERkfoKC3YAgWBmNwA3+FcLzezzIISRBOQG4XmDSWNuHTTmlq+1jRc05tZCY24dgjXm7nXdYM65QAbS4MysB7DAOTcgyKEclpl96pwbHuw4Akljbh005pavtY0XNObWQmNuHZrimJt1CYqIiIiISHOjBFxEREREJICadQJuZnOBD4C+ZrbVzKYGO6bDeCLYAQSBxtw6aMwtX2sbL2jMrYXG3Do0uTE3+xpwEREREZHmpFnPgIuIiIiINDdKwEVEREREAkgJeCMzs9lmtt3MMoIdSyCYWVcze9vM1prZGjObHuyYAsXMQs1suZktCHYsgWBmP/Jf4wwzm2tmUcGOqaHV9fNrZtPMbL0//t8HK77GYGZRZvaxma30x/cL//gzZva5/3rPNrPwYMfakMws3sye9V/XdWZ2Wo3bbjczZ2ZJwYzxeNX2/WxmD/hjXmVmL5hZvH883MyeMrPV/v/H3cGL/NjU9X5kZveZWaaZrfD/nV/jPieZ2Qf++aub4+81M9vsx77CzD71j13qj6nSzIbXOPdcM1vmn7/MzM4KXuT1V8f3coKZLTKzjf7X9v7x7/jf36vN7H0zG3TQYwXlvVsJeOObA0wIdhABVA7c7pxLA04FbjaztCDHFCjTgXXBDiIQzKwz8ENguN+DPxS4IrhRNYo5HPTza2ZjgUnAIOdcOvBgEOJqTCXAWc65QcBgYIKZnQo8A/QDBgLRwPeCF2KjmAW84ZzrBwzC/1k2s67AOOCbIMbWUOZw6PvRImCAc+4kYANQlWhfCkQ65wYCw4Ab/X03mpPDvR/90Tk32P/3GoCZhQH/BG7yf7bHAGVBiLshjPXHVpVsZwAXAe8cdF4u8C3/db4G+H8BjPF4zOHQ7+W7gMXOuT7AYv86wFfAmf4Yf8mhCzKD8t6tBLyROefeAXYFO45Acc5lOec+8y/vwfum7hzcqBqfmXUBJgJ/D3YsARQGRPtvWm2AbUGOp8HV8fP7f8BM51yJf872gAfWiJyn0L8a7v9zzrnX/Nsc8DHQJWhBNjAzaweMBv4B4Jwrdc7l+Tf/EZgBNPuOBbV9PzvnFjrnyv2rH7L/dXVAjP/zHQ2UAgWBirUhHMP70ThglXNupX+fnc65isaPtPE559Y55w7ZBdw5t9w5V/W7ew3e7/TIwEZ39Or43TwJeMq//BQw2T/3fefcbv94ze/xoL53KwGXRuPPlgwBPgpuJAHxMN6bdGWwAwkE51wm3szvN0AWkO+cWxjcqALmRGCUmX1kZv8zsxHBDqih+R/JrgC2A4uccx/VuC0c+C7wRrDiawQ9gR3Ak/5H0X83sxgzmwRkViVkrcD1wOv+5WeBIryf72+AB51zzXYyqZb3o1v8soTZVaUKeD/bzszeNLPPzGxGEEJtCA5Y6JeU3HAU97sY+KxqcqEZSnbOZfmXs4HkWs6Zyv7vcQjie7cScGkUZhYLPAfc6pxrVrMmR8vMLgC2O+eWBTuWQPHfsCbhJS6d8GbKrgpuVAETBiTgfaR9BzDfzCy4ITUs51yFc24w3kzRyWY2oMbNjwHvOOeWBie6RhEGDAUed84NwUs87wN+Avw8iHEFjJn9FK9k4xn/0MlABd7Pd0/gdjPrFaTwjkst70ePAyfglVhlAQ/5p4YBI4Hv+F+/bWZnBz7i4zbSOTcUOA+v7Gb0ke5gZunA74AbGzu4QPA/qTvgUyu/fHAqcKd/Pajv3UrApcH5M2TPAc84554PdjwBcAZwoZltBuYBZ5nZP4MbUqM7B/jKObfDOVcGPA+cHuSYAmUr8LxfjfEx3sxJs16cVxe/DONt/FpLM7sX6ADcFsy4GsFWYGuNmf5n8RLynsBK/2e7C/CZmaUEJ8TGY2bXAhcA33H7Nwe5Eq8mvswvs3oPGF7HQzRZtb0fOedy/D8yK4G/4f2xAd73wTvOuVzn3F7gNbzvg2bF/4SyqjzuBfaPr1Z+GcYLwNXOuS8aP8JGk2NmqQD+1+ryQDM7Ca/MZJJzbqd/OKjv3UrApUH5M4H/ANY55/4Q7HgCwTl3t3Oui3OuB95CxLeccy19Nvgb4FQza+O/5mfTShagAi8CYwHM7EQgAm8hU4tgZh1qdMKIBs4F1pvZ94DxwBQ/cWkxnHPZwBYz6+sfOhvvo/iOzrke/s/2VmCof26LYWYT8D6Cv9BPOqt8A5zlnxOD94nP+sBHeOzqej+qStJ838ZboAjwJjDQ/70WBpwJrA1UvA3BL51qW3UZr669zi5s/s/6q8Bdzrn3AhNlo3kZbyEp/teXAMysG94k0XedcxuqTg72e3dYoJ6otTKzuXgrqZPMbCtwr3PuH8GNqlGdgVcfutqvIQX4SdUqc2kZnHMfmdmzwGd4H1svpwlu9Xu8avv5BWYDs/32V6XANTVmDVuCVOApMwvFm6SZ75xbYGblwNfAB37FzfPOufuDGGdDmwY8Y2YRwJfAdUGOp8HV8f18NxAJLPJf1w+dczcBf8ariV8DGPCkc25VUAI/drW+HwFTzGwwXonCZvyyC+fcbjP7A/CJf9trzrlXAx718UkGXvBfyzDgX865N8zs28AjeJ9gvWpmK5xz44FbgN7Az82sqtxqXFNfXF7H9/JMvJLAqXi/qy7zT/85kAg85v+/lNfoDhM02opeRERERCSAVIIiIiIiIhJASsBFRERERAJICbiIiIiISAApARcRERERCSAl4CIiIiIiAaQEXESkmTOzCjNbYWYr/S20D7spkpnFm9kP6vG4S8zsmNp1mdlrVf3ERUTkQErARUSav2Ln3GDn3CC8vs6/PcL58cARE/Dj4Zw7399JU0REDqIEXESkZYkDdgOYWayZLfZnxVeb2ST/nJnACf6s+QP+uXf656w0s5k1Hu9SM/vYzDaY2aiDn8zMUs3sHf+xMqrOMbPNZpZkZjf5t60ws6/M7G3/9nFm9oEf23/MLLYx/1NERJoSbcQjItLMmVkFsBqIwtvJ8izn3DJ/O+02zrkCM0sCPgT6AN2BBc65Af79zwPuAc5xzu01swTn3C4zWwIsc87dbmbnA7c558456LlvB6Kcc7/2d89s45zbY2abgeHOuVz/vHDgLeD3wAd4W0Of55wrMrM7gcgWtrOmiEidtBW9iEjzV+ycGwxgZqcBT5vZALwtxH9jZqOBSqAz3lbVBzsHb6vxvQDOuV01bnve/7oM6FHLfT8BZvsJ9ovOuRW1nAMwC3jLOfeKmV0ApAHv+VtDR+Al5SIirYIScBGRFsQ594E/290BON//Osw5V+bPSkcd5UOW+F8rqOU9wzn3jp/gTwTmmNkfnHNP1zzHzK7Fm3W/peoQsMg5N+UoYxERaRFUAy4i0oKYWT8gFNgJtAO2+8n3WLwkGGAP0LbG3RYB15lZG/8xEo7i+boDOc65vwF/B4YedPsw4MfAVc65Sv/wh8AZZtbbPyfGzE48upGKiDRfmgEXEWn+os2sqvTDgGuccxVm9gzwipmtBj4F1gM453aa2XtmlgG87py7w8wGA5+aWSnwGvCTej73GOAOMysDCoGrD7r9FiABeNsvN/nUOfc9f1Z8rplF+uf9DNhw1CMXEWmGtAhTRERERCSAVIIiIiIiIhJASsBFRERERAJICbiIiIiISAApARcRERERCSAl4CIiIiIiAaQEXEREREQkgJSAi4iIiIgE0P8Hs7tepXOwvNwAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(small_v100_data_c1['BatchSize'], small_v100_data_c1['Theta (inf/s)'], label='V100', marker='o')\n",
    "ax.plot(small_a100_data_c1['BatchSize'], small_a100_data_c1['Theta (inf/s)'], label='A100', marker='o')\n",
    "ax.plot(small_cpu_data_c1['BatchSize'], small_cpu_data_c1['Theta (inf/s)'], label='CPU', marker='o')\n",
    "ax.set_xscale('log', basex=2)\n",
    "ax.set_yscale('log', basey=10)\n",
    "ax.set_ylim([1, math.pow(10,9)])\n",
    "plt.xticks(small_v100_data_1['BatchSize'])\n",
    "plt.yticks([1, 10, 100, 1000, 10000])\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.yaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_title('Throughput vs. Batch size (Small Model)')\n",
    "ax.set_xlabel('Batch size')\n",
    "ax.set_ylabel('Throughput (samples/s)')\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-batch-size(small-model)\")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(medium_v100_data_c1['BatchSize'], medium_v100_data_c1['Theta (inf/s)'], label='V100', marker='o')\n",
    "ax.plot(medium_a100_data_c1['BatchSize'], medium_a100_data_c1['Theta (inf/s)'], label='A100', marker='o')\n",
    "ax.plot(medium_cpu_data_c1['BatchSize'], medium_cpu_data_c1['Theta (inf/s)'], label='CPU', marker='o')\n",
    "ax.set_xscale('log', basex=2)\n",
    "ax.set_yscale('log', basey=10)\n",
    "ax.set_ylim([1, math.pow(10,9)])\n",
    "plt.xticks(medium_v100_data_1['BatchSize'])\n",
    "plt.yticks([1, 10, 100, 1000, 10000])\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.yaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_title('Throughput vs. Batch size (Medium Model)')\n",
    "ax.set_xlabel('Batch size')\n",
    "ax.set_ylabel('Throughput (samples/s)')\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-batch-size(medium-model)\")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "ax.plot(large_v100_data_c1['BatchSize'], large_v100_data_c1['Theta (inf/s)'], label='V100', marker='o')\n",
    "ax.plot(large_a100_data_c1['BatchSize'], large_a100_data_c1['Theta (inf/s)'], label='A100', marker='o')\n",
    "ax.plot(large_cpu_data_c1['BatchSize'], large_cpu_data_c1['Theta (inf/s)'], label='CPU', marker='o')\n",
    "ax.set_xscale('log', basex=2)\n",
    "ax.set_yscale('log', basey=10)\n",
    "ax.set_ylim([1, math.pow(10,9)])\n",
    "plt.xticks(large_v100_data_1['BatchSize'])\n",
    "plt.yticks([1, 10, 100, 1000, 10000])\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.yaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_title('Throughput vs. Batch size (Large Model)')\n",
    "ax.set_xlabel('Batch size')\n",
    "ax.set_ylabel('Throughput (samples/s)')\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-batch-size(large-model)\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recreating fig. 4 from OSMI-Bench paper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "a100_fig_4_data = pd.read_csv(\"osmi-output/a100-results-localscratch-fig4.csv\")\n",
    "v100_fig_4_data = pd.read_csv(\"osmi-output/v100-results-localscratch-fig4.csv\")\n",
    "cpu_fig_4_data = pd.read_csv(\"osmi-output/cpu-results-localscratch-fig4.csv\")\n",
    "\n",
    "a100_small_fig_4_data = a100_fig_4_data[a100_fig_4_data['Model']=='small_lstm']\n",
    "v100_small_fig_4_data = v100_fig_4_data[v100_fig_4_data['Model']=='small_lstm']\n",
    "cpu_small_fig_4_data = cpu_fig_4_data[cpu_fig_4_data['Model']=='small_lstm']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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+5syZc0mxiYiIiEjt8vnE/Hw15jW1bGsqD769k9SMXCyQmpHLg2/vvKTkfOrUqaxYsaL0qXdycjKHDx9m5MiRjBkz5pxuLtZaVq1axdSpUwGYMWMGy5YtA+Ddd99lxowZpedduXIlTpdKEREREWkIfL5dYnV9zMv67fIv+PLw6Sq3bz2YQYGnuNxYbqGHXyzdwaKNBys9pmdUK34a36HKc4aFhTF48GA++OADJk+ezOLFi5k2bVqVEzTT09MJDQ0lIMD5scbExJCa6rwxSE1NpX379gAEBAQQEhJCeno6ERERVd+0iIiIiNQbn39iXlsqJuXnG6+psuUsJWUsIiIiInL58fkn5jX1m0m9qt0+fO4qUjNyzxmPDg3mn/8ztMrjsrKyqj3v5MmTuf/++9myZQs5OTkMHDiwyn3Dw8PJyMigqKiIgIAAUlJSiI6OduKIjubQoUPExMRQVFREZmYm4eHh1V5bREREROqPnpjXktljuxMc6F9uLDjQn9lju1/SeVu0aMHo0aO54447zvu03BjD6NGjWbp0KQALFy5k8uTJANx4440sXLgQgKVLl3LdddepZ7mIiIhIA+LziXltTf6c0j+ax751NdGhwRicJ+WPfetqpvSPvuQYp0+fzvbt28sl5iNHjuSWW25h5cqVxMTElLZVfPzxx3nqqaeIjY0lPT2dO++8E4A777yT9PR0YmNjeeqpp5g7d+4lxyUiIiIitcfnS1lqOvmzJqb0j66VRPyc806Zck4HlU8//bTSfTt37szGjRvPGQ8KCuLNN9+s9dhEREREpHb4/BNzEREREZGGQIm5iIiIiEgDoMRcRERERKQBUGIuIiIiItIA+HxiXltdWURERERELoXPJ+bW2uXW2rtCQkK8HYqIiIiI+DCfT8wbg2XLlmGM4auvviodGzduHKGhoUycOLHcvvv372fIkCHExsZy6623UlBQAEB+fj633norsbGxDBkyhOTk5Pq8BRERERE5DyXmtWnHEvhzb3g41Pl7x5JaOe2iRYsYMWIEixYtKh2bPXs2r7322jn7zpkzh/vvv5/ExERat27N/PnzAZg/fz6tW7cmMTGR+++/nzlz5tRKbCIiIiJSO5SY15YdS2D5fZB5CLDO38vvu+Tk/MyZM6xZs4b58+ezePHi0vExY8bQsmXLcvtaa1m1ahVTp04FYMaMGSxbtgyAd999lxkzZgAwdepUVq5cec6iRSIiIiLiPT6/8meNffAAHNlZ9faUz8GTX36sMBfe/RFsXlj5Me2uhhG/rPay7777LuPGjaNbt26Eh4ezefNmBg4cWOm+6enphIaGEhDg/FhjYmJITU0FIDU1lfbt2wMQEBBASEgI6enpREREVHt9EREREakfemJeWyom5ecbr6FFixZx2223AXDbbbeVK2cRERERkcuHnpjX1Pi51W//c2+3jKWCkPYwc0XVx2VlVbnp5MmTrFq1ip07d2KMwePxYIzhySefxBhzzv7h4eFkZGRQVFREQEAAKSkpREdHAxAdHc2hQ4eIiYmhqKiIzMxMwsPDq78nEREREak3Pv/EvNb6mI/5NQQGlx8LDHbGL9LSpUv53ve+x4EDB0hOTubQoUN06tSJTz/9tNL9jTGMHj2apUuXArBw4UImT54MwI033sjChQtLz3vddddVmtyLiIiIiHf4fGJea33M+0yDSU87T8gxzt+TnnbGL9KiRYu46aabyo3dfPPNLFq0iJEjR3LLLbewcuVKYmJi+PDDDwF4/PHHeeqpp4iNjSU9PZ0777wTgDvvvJP09HRiY2N56qmnmDv3PJ8AiIiIiEi9UilLbeoz7ZIS8Yo+/vjjc8buu+++ao/p3LkzGzduPGc8KCiIN998s9ZiExEREZHa5fNPzEVEREREGgIl5iIiIiIiDYAScxERERGRBkCJuYiIiIhIA6DEXERERER8x44l8OfejEqY4qxDs2OJtyMqpa4sIiIiIuIbdiyB5fdBYS4GnMUhl7sd72qxs97F8vkn5rW2wFAdOXLkCLfddhtdunRh4MCB3HDDDXz99dcEBwfTr18/evbsyd13301xcTEJCQlMnDix3PHf//73SxccEhEREfFpKx+BwtzyY4W5zngD4POJea0tMASs2LeC65deT5+Ffbh+6fWs2LfiUmPjpptuIj4+nqSkJDZv3sxjjz3G0aNH6dKlC9u2bWPHjh18+eWXLFu27JLjFxEREbksWQtHdjlPyCuTmVK/8VRBpSy1ZMW+FTy87mHyPHkApGWn8fC6hwGY0HnCRZ3z448/JjAwkLvvvrt0rG/fviQnJ5d+HxAQwLBhw0hMTGTw4MEXHb+IiIjIZaW4GFI3we7lzp9T+6veNySm/uKqhhLzGnp84+N8dfKrKrfvOL6DguKCcmN5njx+vfbXLP268lKSq8Ku4t4e91Z5zl27djFw4MBq48rJyWHlypU88kjD+AhGRERExGs8RXBgjZuMvwdnjoBfIHSOhxH3O9s/+mX5cpbAYBjza29FXI4S81pSMSk/3/ilSkpKol+/fhhjmDx5MuPHj2f16tWV7muMqZMYRERERLyuMA/2fewk43veh9xTENgMYr8BPW6EbtdDUJmS5aCWsPIRbGYKJiTGScobwMRPUGJeY3MGz6l2+/VLryctO+2c8cjmkbw87uUqj8vKyqpyW69evaqcuFlSY15WeHg4p06dKjd28uRJIiIiqgtdREREpHHJz4K9/3GS8b0fQcEZaBoC3cdDj0nQ5Tpo0qzyY/tMgz7TWJ2QQHx8fL2GfT4+P/mztswaMIsg/6ByY0H+QcwaMOuiz3ndddeRn5/PCy+8UDq2Y8cODh2qfOJC165dOXz4MLt37wbgwIEDbN++nX79+l10DCIiIiINQnY6bH0d3rgVnugCS++A5LVw9S3w3bdhdiJ86+/QY2LVSXkDpyfmtaRkgue8LfM4kn2Eds3bMWvArIue+AlOCco777zDT37yEx5//HGCgoLo2LEjf/nLXyrdv2nTprz++uvMnDmTvLw8AgMDeemll6iNjjMiIiIi9e70YfhqBez+l5OEWw+EdIBBP3CejLcfDH7+3o6y1igxr0UTOk+4pES8MlFRUSxZcu6KVLt27ap0/+HDh7Nhw4ZajUFERESk3qQnne2kkrrJGWtzFYz8qZOMt+sDl+n8OSXmIiIiIuI91sLRL84m48e+cMaj+jsTM6+aBG26eTfGeqLEXERERETqV3ExpG52SlRKe4wbuHIYjJsLV02A0A7ejrLeKTE/D2utT7UbtNZ6OwQRERG5HHmK4MBaJxH/6j3ISnN7jI+CET+B7jdAiyu8HaVXKTGvRlBQEOnp6YSHh/tEcm6tJT09naCgoPPvLCIiInI+hXmwL8HtMb7C6TEeEAxd3R7jXa+H4FBvR9lg+HxiboyZBEyKjY09Z1tMTAwpKSkcP368zq6fl5fXoBLhoKAgYmIaxrK0IiIi0ghV22N8InQZ02jbGdY1n0/MrbXLgeVxcXE/rLgtMDCQTp061en1ExIS6N+/f51eQ0RERKRO5Zx0Vt3cvRySPgZPPjRv4/QY7zEJOo6EgCbejrLB8/nEXEREREQugo/1GK8PSsxFREREpGbSk5yJm7uXQ8rnzlhEdxhxv5OMR/Zt8D3Gl21N5ckP95CakUv0hlXMHtudKf2jvR0WoMRcRERERKpiLRz78myP8aPuAoeR/eC6h5xkvE1378Z4AZZtTeXBt3eSW+gBIDUjlwff3gnQIJJzJeYiIiIivmrHElj5CKMyU2BrjLOgT++pTo/xr9xk/OQ+wECHoTD2MWcCZyPtMf74v78qTcpL5BZ6ePLDPUrMRURERMRLdiyB5fdBYS4GIPMQLLsHVvwc8jOdHuOdroVh9zkL/jTiHuP7T2Tzytr9pGXmVbr9cEZuPUdUOSXmIiIiIr5o5SNQWCEhLS4CTwF868VG32PcWsuaxBO8vDaZVV8do4m/H8GB/uc8MQeICg32QoTnUmIuIiIi4mtSNjtPyCtTlAd9ptVvPLUot8DDO1tTeXntfvYeO0NEiybMGtOV71zTgXWJ6eVqzAGCA/2ZPbZh1MkrMRcRERHxBcXF8PW/Yd0zcHAdYAB77n4hjXOhwbTMXF5df4BFGw+SkVNIr6hW/OmWvkzsG0nTAKdtY0kdeWlXltBgdWURERERkXpSmAvbF8P6v0J6otNrfNxcaNIcPvhF+XKWwGBnAmgjYa1ly8EMFqzdz793HcFay9he7Zg5vBODOrbGVNK6cUr/aKb0jyYhIYH4+Pj6D7oaSsxFRERELkfZ6fD5S7DxBcg54fQYv3k+9JwC/m4KGBAEKx/BZqZgQtyuLI2gjKWgqJgPdqWxYM1+tqdk0jIogDtHdOJ711xJ+7Bm3g7voikxFxEREbmcpCfBhudg6z+gKBe6joVhP4aOI85d/KfPNOgzjdUN8OlxZdLP5PPGZwd5bcMBjmXl07lNcx6d3ItvDYihedPGn9Y2/jsQERERETi0EdY9DbvfA/9A6HMrDP0RXHGVtyO7ZLvTTvPy2v0s23aYgqJiru3WhiemduTarm3w82vYK41eCCXmIiIiIo1VsQf2vO9M6Dz0GQSFwsifweC7oGVbb0d3STzFlpW7j/Ly2mTW70snONCfWwbGMHN4R2KvaOnt8OqEEnMRERGRxqYgB7a/AeufdVbmDL0Sxj8B/b/rTOpsxLLyClmyKYWF65I5eDKHqJAgHhx/FbcN6kBIs0Bvh1enlJiLiIiINBZnjsPnL8LGFyH3JEQNgFtegasmnZ3Q2UjtP5HNwnXJvLnpENkFHgZ1bM0D46/i+p5tCfD383Z49aJx/wRFREREfMGJvc7T8e2LnAWAut/gTOjsMPTcCZ2NiLWWdUnpLFizn1V7jhHgZ5jUJ4qZwztxdUyIt8Ord0rMRURERBoia+HgBqd+fM/74N8E+k2Ha/4X2nTzdnSXJK/QWZ3zlbXJ7DmaRUSLJvz4uq58d0gHrmgV5O3wvEaJuYiIiEhDUuyB3cudhDx1EwSHwahfwKAfQos23o7ukqRl5vKauzrnqZxCeka24smpfZjUN4qgQH9vh+d1XknMjTELgInAMWttb3csDPgn0BFIBqZZa08ZZ8mmecANQA7wfWvtFveYGcCv3NP+zlq70B0fCLwCBAPvA7OstZWsOSsiIiLSQBRkO73HNzwLp5KhdSe44Y/Q7zvQpPEumgOw5eApXl6bzAc70yi2lm/2bMsdwzsxuFNYpatz+ipvPTF/Bfgr8GqZsQeAldbaucaYB9zv5wDjga7unyHA88AQN5H/DRAHWGCzMeZf1tpT7j4/BD7DSczHAR/Uw32JiIiIXJgzx5zVOT9/CXJPQcwg+OajcNUE8Gu8T5ELPcW8vzONl9cms+1QBi2DApg5vCO3D+3YqFfnrEteScyttZ8YYzpWGJ4MxLtfLwQScBLzycCr7hPvDcaYUGNMpLvvR9bakwDGmI+AccaYBKCVtXaDO/4qMAUl5iIiItKQHN8D6/8K2xeDp9BJxIfdBx2GeDuyS3Iyu4BFGw/y6vpkjp7Op3NEcx6Z3IubL5PVOeuS8VaFh5uYv1emlCXDWhvqfm2AU9baUGPMe8Bca+0ad9tKnIQ9Hgiy1v7OHX8IyMVJ6Odaa7/hjo8E5lhrJ1YSw13AXQBt27YduHjx4jq736qcOXOGFi1a1Pt1vUn37Bt0z77B1+7Z1+4XdM+1zlpCMr+g/aFlRKR/jsevCUfajSEl5kZym0XVzTVroDbu+VBWMR8dKGT94SIKi6F3uD/f7BjA1RH++DXAchVv/W6PHj16s7U2rrJtDfJti7XWGmPq/B2DtfYF4AWAuLg4Gx8fX9eXPEdCQgLeuK436Z59g+7ZN/jaPfva/YLuudZ4imD3u86EzsNboVkExP8f/oPuJLp5BNG1e7ULdrH3XFxsWfXVMRas3c+6pHSCAv24ZVAHZg7rSNe2DXt1zob4u92QEvOjxphIa22aW6pyzB1PBdqX2S/GHUvlbOlLyXiCOx5Tyf4iIiIi9Sv/DGx9DdY/B5kHIawLTPwz9J0OgcHeju6iZeUV8uamFBauT+ZAeg6RIUHMGXcV0we3J7RZE2+H12g1pMT8X8AMYHovOMcAACAASURBVK7797tlxn9kjFmMM/kz003ePwT+YIxp7e53PfCgtfakMea0MeYanMmftwPP1OeNiIiIiI87nQYb/w6bFkBeprMQ0Pi50G08+DXeVSwPpGfzyrpk3tyUwpn8IgZe2ZrZY7sztlc7An1kdc665K12iYtwnnZHGGNScLqrzAWWGGPuBA4A09zd38dplZiI0y5xJoCbgD8KfO7u90jJRFDgXs62S/yAaiZ+GmMmAZNiY2Nr6/ZERETEVx3b7ZSr7FgC1gM9JsHQH0P7Qd6O7KJZa1mflM6Ctcms/OooAX6GCVdHMnN4J/q2D/V2eJcVb3VlmV7FpjGV7GuB/63iPAuABZWMbwJ61zCW5cDyuLi4H9ZkfxEREZFyrIX9nzgJeeJHENgM4mbCNfdAWGdvR3fR8go9vLstlZfXJvPVkSzCmjfhx6Nj+e41V/r06px1qSGVsoiIiIg0Hp5C+GIZrHsajuyA5lfAdb+CuDuhWZi3o6uRZVtTefLDPaRm5BK9YRWzx3bnms7hvLYhmTc+c1bn7BHZiiem9uFGrc5Z55SYi4iIiFyIvNOw5VXY8DycToGIbnDjM3D1NAhsPE+Sl21N5cG3d5Jb6AEgNSOXny3ZTrG1YOCbPdoyc3gnrums1Tnri88n5qoxFxERkRo5fdhJxje/Avmn4coRMOFP0PX6Rjmh88kP95Qm5SU81tK8qT8f3HctHcK1Omd98/nEXDXmIiIiUq0ju5wVOne+CbYYek6BYT+C6IHejuyC5RV6+Dz5JKv3HCc1I7fSfXLyPUrKvcTnE3MRERERwOmksvIRRmWmwNYY6H2zUzuetAoCm8OgH8I1d0Prjt6OtMastSSn57B6zzFWf32c9fvSySsspom/H00D/MgvKj7nmKjQxttfvbFTYi4iIiKyYwksvw8KczEAmYdg7V+gaSsY8xuny0pw6/OdpUHIzi9ifVI6q78+zuqvj3PwZA4AnSKac9ugDozq1oYhncP4zxdHy9WYAwQH+jN7bHdvhe7zfD4xV425iIiIj/IUOn3HUzfDh7+EwkpKO4Jawcif1n9sF8Bay56jWaze4yTinyefpNBjadbEn2FdwvnhyE5c260NV4Y3L3fclP7RAGe7soQGM3ts99JxqX8+n5irxlxERMQHWAunkp0kPHWL83fadiiqvM66VGZqvYR3oTJzC1mbeIIEt0Tl6Ol8AK5q15I7hndiVLc2DOzYmqYB1bc3nNI/min9o0lISCA+Pr4eIpfq+HxiLiIiIpeh7BNnE/CSP7nuAuEBQRDZD+LugOgBziTOhZOc8pWKQmLqN+4qFBdbdh3OLH0qvvVQBp5iS8ugAK7t2oZR3dowslsEkSGqD2/MlJiLiIhI41aQ4zz9LpuEZxxwthk/aNMDrprgJODRA+GKHuAfWP4cY35dWmNeKjDYGfeSE2fy+XTvcVbvOc4ne09wMrsAgD4xIdwb34VR3drQr30oAf6Nr1WjVE6JuYiIiDQeniI4/lWZJHwLHPsSrDuBMaSD8xR80A+cJDyyLzRtcf7z9pnm/L3yEWxmCiYkxknKS8brQZGnmK2HMkqfiu9MzQQgvHkTRnVznoqP6BpBRIum9RaT1C+fT8w1+VNERKSBshYyDpZPwtO2QaHTZYSgUCf57j7efRo+AFpccfHX6zMN+kxjdT3WW6dl5pYm4msST5CVV4S/n2FAh1B+fn03RnW7gl5RrfDz08qbvsDnE3NN/hQREWkgck6eWxeec8LZ5t8UIvvAgNshOs5JwsM6QyNbKj6/yMOm5FNOK8M9x9lzNAuAdq2CmHB1JKO6tWFYbAQhwYHnOZNcjnw+MRcREREvKMyFIzshZdPZJPzUfnejgTbdodvYs5Mzr+gFAU28GvLFOpCeXZqIr0tKJ7fQQxN/PwZ3CmPqwBhGdW9D1ytaYBrZmwypfUrMRUREpG4Ve+DE1+WfhB/9AoqLnO2top0EfOAMty68n9M/vJHKKShiw7700hKV5HSn9KZDWDNuiYthVLc2DO0STrMmSsOkPP1GiIiISO2xFk6nlq8LP7wVCs4425uGQHR/GD7LScKjBkCrSO/GfImstew9dqY0Ed+4/yQFnmKCA/0Z2iWcmW5f8Y4Rzc9/MvFpSsxFRETkXDuWwMpHGJWZAlur6VCSe8pJvMsu3HPmqLPNvwm0uxr6fftsq8KwLuDX+Nv7nc4rZO3eE6XL3qdl5gHQrW0LZgy7klHdriCuY2uCAqtf4EekLJ9PzNWVRUREpIIdS0p7ehtwFt5Zfp+zhH2b7uVLUtITzx4X0Q26XHe2Q0rb3hDQeFr7LduaenZ5+g2ryi1PX1xs+TLtdGmt+OaDp5wFfpoGMKJrBLPGtOHabm2ICtUCP3LxfD4xV1cWERGRClY+Un6hHXC+f/fes9+3aAcxcWefhkf2g+DQ+o2zFi3bmsqDb+8kt9Dph56akcsDb+9g84GTZOd7+GTvcU6ccRb46R3dintGdWFUd2eBn0At8CO1xOcTcxEREakgM6Xqbbe+7iTiraLqL5568OSHe0qT8hJ5hcW8tuEgrZsFcq27wM/Irm1o07LxfAogjYsScxEREXGWtd/1Fnz+EmAr3yekPfSYVK9h1ZfDGbmVjhtg06++ib8W+JF6oMRcRETEl53YC5sWwLZ/QF4mtOkBfafDF8ugqEyyGhjsTAC9zHyefJJnP06s6q0IUaHBSsql3igxFxER8TWeQtjzPnw+H/avBr9A6HkjxN0JVw5zVtPsch2sfASbmYIJqaYrSyNkrSXh6+M8/3ESG5NPEta8CROubsfKr46RV1hcul9woD+zx3b3YqTia5SYi4iI+IrTh2HzQtiyELLSnNKU6x5ylrlvcUX5fftMgz7TWJ2QQHx8vFfCrW2eYssHu9J47uMkvkw7TVRIEA9P6smtgzoQ3MS/fFeW0OByXVlE6oMScxERkcuZtc5T8c9fgq/eB1sMsWNg4p+h6/Xgd/n32S4oKuadrSn8bfU+9p/IpnNEc56Y2ocp/aJpEnC2o8qU/tFM6R9NwmX0ZkQaF59PzNXHXERELku5p2DbItg03+k1HhwGQ/8X4mZCWGdvR1cvcgqKWLzxEC9+uo+0zDx6RbXiue8MYGyvdqoblwbJ5xNz9TEXEZHLSuoWJxnf+ZYzeTNmMNz0d+g5BQKDvB1dvcjMKeTV9cm8vC6Zk9kFDO4Uxtyb+3Bt1wiMUUIuDZfPJ+YiIiKNXkEOfPG2M5nz8BYIbAZ9b3Umc0b28XZ09eZYVh7z1+znHxsOcia/iOuuuoJ747sQ1zHM26GJ1IgScxERkcbqRGKZVocZENEdxj/pJOVBId6Ort4cOpnDC5/s45+bDlHkKWZCnyjuGdWFnlGtvB2ayAVRYi4iItKYeIqcVoeb5sO+BPALcBb9GfQDuHK40+rQR+w9msXzCUm8u/0wfgZuHhDD/4zqQqeI5t4OTeSiKDEXERFpDE6nwZZXYfMrkHUYWsXA6F85rQ5btvV2dPVq+6EMnv04kf98eZTgQH++P6wjPxjZiciQYG+HJnJJlJiLiIg0VNbC/k+cp+O73wPrgS5jYMKfnFaH/r7zv3FrLeuT0nkuIYk1iSdoFRTAfWO68v1hHQlr3sTb4YnUCt/5Fy0iItJY5GbA9kVO/fiJryG4NQy9FwbOhPAu3o6uXhUXW/67+yjPJSSx7VAGbVo25cHxV/Gda66kRVOlMXJ50W+0iIhIQ3F4q9NZZedSt9XhIJjyN+g1BQJ9q0yjyFPMezvSeC4hka+PnqF9WDC/m9KbqQNjCAq8/BdFEt/k84m5FhgSERGvKsyFXW875Sqpm51Wh32mwaA7IbKvt6Ord3mFHpZuTuHvnyRx6GQu3dq24C+39mNin0gC/P3OfwKRRsznE3MtMCQiIl6RnuSUqmx93W112A3GPwF9boXgUG9HV+/O5Bfxjw0HeGnNfo5n5dO3fSi/ntiLMVddgZ9W6ZRatGLfCuZtmUdadhqRSyOZNWAWEzpP8HZYgBJzERGR+uMpgq//DZ+/BPs+dlodXjXRaXXYcYRPtToscTK7gFfW7ueVdcmczitiRGwE827tx9Au4VqlU2rdin0reHjdw+R58gBIy07j4XUPAzSI5FyJuYiISF3LOnK21eHpVGgVDaN/6bY6bOft6LziSGYeL366jzc+O0huoYexvdpyb3wsfdv73qcFUn/mbZlXmpSXyPPkMW/LPCXmIiIily1rIflTZzLnV+9BcRF0uc4pV+k2zqdaHZa1/0Q2f1+dxFtbUii2MLlvFHfHd6Fb25beDk18wJHsIxc0Xt98878KIiIidSU3A7Yvdlsd7oGgUBhyN8Td4XOtDsv68vBpnktI5P2daQT4+3HboA7cdW1n2oc183Zo4iMSTyXib/wpskXnbGvXvGF8cqXEXEREpDYc3uZ0Vtm5FApzIHogTHkeet3kc60Oy9qUfJJnP07k4z3HadE0gLuu7cIdIzpyRcsgb4cmPsJay5tfv8kTnz9BU/+m+BX7UVBcULo9yD+IWQNmeTHCs5SYi4iIXKzCPPjiHWcyZ+omCAiGq6c6rQ6j+ns7Oq+x1rL66+M893ESG5NPEta8CT+/vhvfG9qRkOBAb4cnPiQzP5OH1z3Mfw/+l+FRw/ndiN/xWdpnZ7uyNFdXFhERkcZlxxJY+QijMlNgawxcc7czoXPr65B7CsK7wri50He6T7Y6LOEptnz4xRGe/TiRLw6fJjIkiF9P7Mltg9vTrIlSDqlfW45uYc6ncziRc4KfDfwZt/e6HT/jx4TOE5jQeQIJCQnEx8d7O8xy9K9ERESkOjuWwPL7oDAXA5B5CD78JWCg540Qdyd0utYnWx2WKCgqZtm2VP6WkMS+E9l0imjOEzf3YUr/aJoEaFEgqV+eYg8v7HyBv23/G9EtonnthtfoHdHb22HViBJzERGR6qz8rbM6Z0UtI2Haq/UfTwOSW+Bh8ecHefGTfRzOzKNnZCue/fYAxvVuh78WBRIvOJJ9hAc+fYDNRzczsfNEfnXNr2ge2NzbYdWYEnMREZHKFHtg11uQmVL59qy0+o2nAcnMLeS19cksWJvMyewCBncM4w/fuppR3dpoUSDxmpUHV/Kbdb+h0FPIH0b8gUldJnk7pAumxFxERKQsTxHsWgqfPAnpic7qnMXntlcjJKb+Y6tHy7am8uSHe0jNyCV6wypmj+3O8NgI5q/Zz+sbDnAmv4jR3dtw7+hYBnUM83a44sPyivL446Y/8s89/6RneE+euPYJrmx1pbfDuihKzEVERMBJyHcucRLyk/ugbW+nVKUwD96bVb6cJTAYxvzae7HWsWVbU3nw7Z3kFnoASM3I5WdvbgdrKQZuuDqSe+O70CsqxLuBis9Lykhi9iez2XtqLzN6zmDWgFkE+jfezj8+n5gbYyYBk2JjY70dioiIeIOn0FkQ6NM/wqlkaHc13Po6dJ8Afu7ERWNg5SPYzBRMSIyTlPeZ5tWw69KTH+4pTcpLeIotzZr4896PR9C5TQsvRSbisNaydO9Sntj4BM0Cm/H8N55nRPQIb4d1yXw+MbfWLgeWx8XF/dDbsYiISD0qKoDti+DTP0HGAYjsC7ctgu7jz+2w0mca9JnG6gbYXq22FHqK2X4og7WJ6aRmVDLZFWeyp5Jy8bbM/Ex+u/63fHTgI4ZGDuUPI/9ARHCEt8OqFT6fmIuIiI8pKoBtr8Onf4bMg85CQOOfgG5jfarlobWWPUezWJuYztrEE3y2L53sAg/GQKC/odBjzzkmKtR3VzCVhmHrsa3M+WQOx3OO89OBP2VGrxn4mcunJWeNE3NjTHMgz1rrOe/OIiIiDU1RPmx9zUnIT6dAdBxMfApiv+EzCXnKqRzWJaazJvEE65LSOXEmH4BOEc2Z0j+aEbERDO0STsKe4+VqzAGCA/2ZPba7t0IXH+cp9vDizhd5fvvzRDWP4tXxr3J1m6u9HVatqzIxN8b4AbcB3wEGAflAU2PMCWAF8HdrbWK9RCkiInKxCvNgy6uw5s+QdRhiBsON86DLmMs+IT+VXcD6fW4inniC5PQcACJaNGVEbDjDYiMYHhtBdIUn4VP6RwOc7coSGszssd1Lx0Xq05HsIzz46YNsOrqJGzrdwEPXPESLJpdnSVV1T8w/Bv4LPAjsstYWAxhjwoDRwOPGmHesta/XfZgiIiIXqDAXNi+EtX9xeo53GApTnoPO8ZdtQp5b4GFj8knWJZ5gbdIJvjh8GmuhRdMArukcxu1DOzKiawRdr2hx3n7jU/pHM6V/dINctlx8x6qDq/j1ul9T4Cng9yN+z6TOky7rXvnVJebfsNYWVhy01p4E3gLeMsY03n40IiJyeSrIgc0vw9p5cOYoXDkcbvo7dLr2skvIizzFbE/JZF3iCdYknmDrwQwKPMUE+hsGdGjN/d/oxvDYCPrEhBDof/nU4crlL9+Tz582/YlFXy2iR1gPnrj2CTqGdPR2WHWuysS8JCk3xnQBUqy1+caYeKAP8Kq1NqOyxF1ERMQrCrJh0wJY+zRkH4OOI2HqAujY+FuolbDWsvfYGdYmnnAnbJ4kK78IY6BnZCtmDu/IsNgIBnVsTbMm6u8gjdO+jH38/JOfs/fUXm7veTuzBsyiiX8Tb4dVL2ryr/YtIM4YEwu8ALwLvAHcUJeBiYiI1Ej+Gdg030nIc05Ap1EQvxCuHObtyGrF4Yzc0kR8bVI6x7OcCZtXhjdjUr8ohndxJmyGNfeNxEUuX9Za3t77NnM3zqVZYDOeHfMs18Zc6+2w6lVNEvNia22RMeYm4Blr7TPGmK11HZiIiEi18rNg44uw/q+Qkw6dR0P8A9DhGm9HdkkycgrYUDphM519J7IBiGjRhGFdIhgeG86wLhG0D2vm5UhFas/pgtP8dt1v+c+B/3BN5DX8YcQfaNOsjbfDqnc1ScwLjTHTgRnAJHdMteUiIuIdeadh4wtOQp57yml3OGoOtB/s7cguSl6hh8+TT7I2MZ11SSfYmZqJtdC8iT9DOofz7SEdGNE1gu5tW17Wk97Ed207to05n8zhWM4xfjLgJ8zsPfOy6k1+IWqSmM8E7gZ+b63db4zpBLxWt2GJiIhUkJcJn/0d1j8LeRnQ9XonIY+J83ZkF6TIU8zO1EzWJaWzZu8JNh88RUGRM2Gzf/vW/GRMN4bHhtO3fagmbMplzVPsYf6u+Ty37TnaNW/HwvEL6dOmj7fD8qrq+pi/AHwA/Ndae1/JuLV2P/B4PcQmIiICuRnw2d9gw3NOct5tPIz6BUQP8HZkNWKtJen4Gda6C/ts2JdOVl4RAD0iWzFj6JUMi41gcMcwmjfVhE3xDUezj/J/a/6PjUc2Mr7TeB665iFaNmnp7bC8rrr/AswHxgM/NcYUAP8B/m2t3V4vkYmIiG/LOQkbnneS8vzT0H2Ck5BH9fN2ZOd1JDOvzITNExw97UzY7BDWjIl9IhkeG8HQzuGEt2jq5UhF6l/CoQQeWvsQ+Z58Hh3+KJO7TFaZlqu6domfAZ8BDxtjwoHrgZ8ZY/oAW3CS9CX1E6aIiPiMnJNOucpnf4eCLOgxCa79BUR67yPuZVtTz66CuWHVOatgZuYWsmFfemkynnTcmbAZ3rwJQ7uEM8JdYVMTNsWX5XvyeWrTU7zx1Rv0COvB49c+TqeQTt4Oq0Gp0Wdm1tp0YJH7B2PMQGBcHcYlIiK+Jjsd1j/jdFopOAM9JzsJebveXg1r2dZUHnx7J7mFHgBSM3J54O0dfH00C4C1SensTMmg2EKzJv4M7hTG9MEdGNYlgqvatcTPT08CG4sV+1Ywb8s80rLTiFwayawBs5jQeYK3w7os7Mvcxy9W/4I9p/bw3R7f5f6B9/tMb/ILcd7E3BgzC3gZyAJeBAYAD1prf1/HsYmIiC/IPgHrnoaNL0FhDvS6Ca6dDW17ejsyAJ78cE9pUl4ir7CY5xKSCPAz9O8Qyo+v68rw2Aj6tQ+lSYAmbDZGK/at4OF1D5PnyQMgLTuNh9c9DKDk/BJYa3kn8R3mbpxLkH+QT/YmvxA1eWJ+h7V2njFmLBAOfA+nK8uHdRqZiIhc3s4ccxLyz+dDYS70vtlJyK+4ytuRlXM4I7fKbdt+cz0tNGHzsjBvy7zSpLxEniePuRvnMiRyCBHBEV6KrPE6XXCaR9c/yr+T/82QyCE8NuIxn+xNfiFq8l+Tks/gbgBetdZ+YVShLyIiFyvrKKydB5sWgCcfrr4FRv4c2nTzdmTl7E47zd9WJ2Gr2B4dGqyk/DJyJPtIpeMZ+RmMXjKaHmE9GB49nOFRw+l7RV8C/bSkS3W2HdvGA58+wJHsI8waMIs7et/hs73JL0RN/ouy2RjzH6AT8KAxpiVQXBfBGGMWABOBY9ba3u5YGPBPoCOQDEyz1p5y3xzMw3nDkAN831q7xT1mBvAr97S/s9YurIt4RUTkApxOcxLyzS+DpxD6THMS8ohYb0dWzsb9J3k+IZGP9xyneRN/Rndvw/qkdPKKzv6vLzjQn9lju3sxSqlNhZ5Cmvg3Id+Tf862iOAIvtPjO6xJXcMru17hpZ0v0TywOUPaDXES9ejhRLeIruSsvslT7GHBrgU8u+3Z0t7kfdv09XZYjUZNEvM7gX7APmttjtuhZWYdxfMK8Ffg1TJjDwArrbVzjTEPuN/PwWnl2NX9MwR4HhjiJvK/AeIAi/PG4l/W2lN1FLOIiFTn9GFY8xfY/AoUF0Hf22DkzyC8i7cjK1VcbPl4zzGeT0hi04FThDVvws+v78b3rulISLPA8l1ZQoPP6coijVdhcSGzP5lNviefQL9ACosLS7cF+Qfx87ifM6HzBH5w9Q84U3CGz458xtrUtaxNXcuqQ6sA6NiqIyOiRzA8ejhxbeMICgjy1u141bGcYzz46YNsPLKRcR3H8euhv1Zv8gtUk8TcAj1xnmQ/AjQH6uQ3zlr7iTGmY4XhyUC8+/VCIAEnMZ+MU1pjgQ3GmFBjTKS770fW2pMAxpiPcDrILKqLmEVEpAqZKbDmz7DlVbDF0Hc6jPwphHX2dmSlCj3FvLfjMH9L2Meeo1lEhwbz2xt7MS2uPcFN/Ev3m9I/min9o0lISCA+Pt57AUut8hR7+OWnv2TlwZU8MPgBQpuGnu3K0vzcriwtmrRgTIcxjOkwBmstyaeTWZu6ljWH1/Dm12/y+u7XaerflIFtBzI8ajgjokfQKaSTT/ToXn1oNb9a+yvyPfk8MuwRpsRO8Yn7rm3GyWur2cGY53FKV66z1vYwxrQG/mOtHVQnATmJ+XtlSlkyrLWh7tcGOGWtDTXGvAfMtdaucbetxEnY44Ega+3v3PGHgFxr7R8rudZdwF0Abdu2Hbh48eK6uKVqnTlzhhYtWtT7db1J9+wbdM++obJ7bpp3jA4H3yIy7b+A5Ui7MRzsMJW84LbeCbIS+R7LpylF/Du5kBO5lugWhgmdmzC4nT8B1bQ31M/48lFsi3kj/Q0+y/6MG0Nv5Jsh3yzddjH3XFBcQFJ+Ertzd7M7bzdHCp2a9db+rekR3IMewT3oHtSdYL/gWr2P2nKxP+dCW8i7p95lddZqogOj+X6b79MusF0dRFj7vPW7PXr06M3W2rjKttXkifkQa+0AY8xWALe+2yuNJ6211hhT/TuJCzvfC8ALAHFxcdYbT0F88emL7tk36J59Q7l7PnUAPv0TbHvD+X7g7TDifqJCOxDltQjLy8wp5LUNyby8Lpn07AIGdAhlbnws1111RY36jfv8z/gyYa3l95/9ns+yP+Oevvdwb797y22vjXtOO5PG2sNOycuGtA2sO7MOf+NP3zZ9S2vTe4T1aDATIi/mnvdl7mPOJ3P4Kusrvtvju/xk4E9o6t94VrNtiL/bNUnMC40x/jglLRhj2lBHkz+rcNQYE2mtTXNLVY6546lA+zL7xbhjqZwtfSkZT6iHOEVEfMeOJbDyEUZlpsDmdk55yqHPwPjBwBkw4n4IifF2lKWOns5jwZr9/OOzg5zJL2J09zbcEx/LoI6t9XG7j7HW8sdNf+Sfe/7JzN4zuafvPXVyncgWkUztNpWp3aZSWFzIjuM7nNr0w2t5ZuszPLP1GcKCwhgaNZThUcMZFjWM8ODwOomltllrWZa4jMc2PkZT/6b89bq/Mqr9KG+HdVmoSWL+NPAOcIUx5vfAVM52PKkP/wJmAHPdv98tM/4jY8xinMmfmW7y/iHwB7fkBuB64MF6jFdE5PK2Ywksvw8Kc51+ullpzp/O18Hkv0JIw5kUuf9ENi98ksRbm1MpKi5mYp8o7h7VhZ5RrbwdmnjJM1uf4dUvX+XbV32b+wfcXy9vzAL9AhnYdiAD2w7kvgH3kZ6bzrrD60r/rNi3AoCe4T0ZHuU8Te/Tpk+DbMmYVZDFo+sf5YPkDxjcbjCPjXyMK5pd4e2wLhvnTcyttf8wxmwGxuD0NJ9ird1dF8EYYxbhPO2OMMak4HRXmQssMcbcCRwAprm7v4/TKjERp13iTDfek8aYR4HP3f0eKZkIWsU1JwGTYmMbVrsuEZEGpSAH0rZD6ib4+PfOgkAVpe9tMEn5rtRMnl+dxAc70wjw9+OWuBj+59oudAhv5u3QxIte2PECL+58kZu73sycwXO89mlJeHA4k7pMYlKXSRTbYnaf3F3a6WXBrgW8uPNFWgS24JrIaxgWPYwRUSOIbBHplVjL2n58O3M+mcOR7CPc1/8+7uh9B/5+/uc/UGqsysTcbTtY4hhlupoYY8KqS3YvlrV2ehWbxlSyrwX+t4rzLAAW1PCay4HlcXFxP6xpnCIil7XiYjjxtZOEp26GlE1w9AuwnuqPy0ypn/iqYK1l/b50nk9I4tO9J2jZNID/GdWFmcM7csX/s3ffcVXX7R/HX182goCyh4Cg4kYBNRfiyoGWZdmwnVlWv2zZ8G7X3V1304bmyMq678adTXcOwD1wZk6GCfuevwAAIABJREFUCgKCsjfnfH5/HCTN0VE558u4no9HD+XLgfOmNC6+5/pcV8vmOb5O/OmLvV/w4Y4PGRM2huever7B9HbbaDZ08exCF88uTO4+meKqYjZnbWZd5jrWH1/PyqMrAQhzD6tbcBTtG23VkYxGZWT+7/P5aMdH+Lbw5fORn9PDp4fVnr85udgd82RMfeXn+3FSAQ1n3pUQQojLV5xzdhF+fAdUFpne5+gGgVGmnvGgGAiMhrlDoPDYuZ9Hp55yo1Hx274cZiWksPNYAV6uDjw1MoLbrgrBzanhtQII6/tm/ze8ve1trg65mlf7v9qg7/K2dGjJsJBhDAsZhlKKtMK0uiL92/3f8uUfX+Jo60iMXwwDAgbQL7Afbd0sN5LxRNkJpq+bzuaszYwIHcELfV/AzUFawSzlgoW5UqqtNYMIIYSwgqoyyNr5ZxGemfxnkW1jB75doNuNfxbhnu3B5i93Foe+UNdjXsfe2XTdiqpqjPy8M5NPElNIyS2lTWtnXhvXlRuig3Cyb7iFl7CuHw/9yD83/5O4oDjeiH0DOxtzjtc1DJqmEeYRRphHGHd0uYPymnKSc5JNs9Mz1/Hm1jdhKwS4BNRNeunj1wdXh/oZAZiUkcRz656jwlDBy/1e5rp218lhaQsz60+npmnXAwMw3Slfq5T6yaKprEh6zIUQTZbRCHkH/izAM7dBzh9/tqR4BENQL7hqiqkI9480Fdh/p3vtUZ9Vr6AKM9Dcg0xF+enrFlZWVcM3W44xb20qxwsr6OjXkhk39yC+mz92tg2jPUE0DEtSl/DihhfpF9CPt+PebpCHKS+Fs50zAwIHMCBwAE/zNJklmXW96UvSlvC/g//DTrMj0ifStIk0oD8RrSMuuW2nylDFe8nv8dW+r+jQqgNvxb5FmIc0SljD3xbmmqbNBNrxZ4/5A5qmDVdKnbe/u7GRHnMhRJNRnH12EZ65A6qKTe9zdDe1pAx83FSEB0aD6xVMUug+AbpPINGKc4DzS6v4YmM6X2xIJ7+smt6hrfnn9d2I6+Atd/HEOVYeWcn0ddOJ9o3m/cHvN6r52uYKdA1kQsQEJkRMoNpYza4Tu+pmp8/YPoMZ22fQ2ql13aSXvgF9ae3U+qKfM60wjaeSnmL/qf3c2vFWHo95vEn+u2uozLljPgToVHvYEk3TvgD2WjSVEEKIi6sqheM7/yzCM5KhqPbwpY0d+HY1Fc9BMRAYA57tzm1JaSSyCsuZtzaNr7ccpazKwLBOPjwwKJyY0IsXGKL5SspIYlrSNLp6deWjoR/hbNcwt23WJ3sbe2L8Yojxi2Fq1FTyyvPYcHwD6zPXszZzLb+m/oqGZhrJGNifAYED6ObVjeXpy5mxfQZZpVm4f+NOWVUZLg4ufDjkQ+LaxOn9ZTU75hTmh4FgTKMKwbTU57DFEgkhhDib0QC5B844oJkMJ85sSQmB4D4Q+KCpCPfvbl5LSgN3+EQJsxNT+GlnJkYF10SaZpBH+LXUO5powDYe38hjax6jvUd7Zg6biYu9i96RdOHl7MU14ddwTfg1GIwG9p3ax7rMdWw4voF5e+YxZ/ccHG0cqVbVGJVpb2RhZSE22DAlcooU5ToxpzBvCezTNG1L7du9gG2apv0CoJS6xlLhrEF6zIUQDU5R1l+mpOz8syXFyd3UhhLxuKkID4wGV29989azXccKmJWQwvI/snGwteHW3sFMGhhGm9Yyg1xcXHJOMlPXTCXEPYQ5w+fI9JBatja2dPXqSlevrjwQ+QCFlYVsztrMc+ufw1hz9jJ3I0Y+3/s5t3a6Vae0zZs5hbl1j9lbmfSYCyF0VVly7pSUokzT+2zswK8bRN5kKsKDYqB1eKNtSbkYpRTrD59kZsJhNqScxM3Jjofi2nFX/1C8XKW/Vfy9Pbl7eGjVQ/i5+DFn+Bw8nDz0jtRguTu6c3Xo1TyZ+OR5359dmm3lROI0czZ/JgJomuZ25uMtsWBICCGaNKMBcvefcUDzdEtK7R2rVqEQfNWfRbhfd7Bv2otxDEbF8r3ZzEpIYU9mIT4tHZk+uiO39A6mpcwgF2bad3If96+8n1aOrZg7fC5ezl56R2oU/Fz8yCrNOu91oQ9zprJMBl4BKgAjpoVDsmBICCFO2/0drHqFQYUZsOOM0YFFx88uwo/vgKoS08fUtaSM/nNmuEvzKSYqawz8tCOT2YmppOaVEurZgn9d343rowJxtJMZ5MJ8h/MPM/m3ybjau/LpiE/xdfHVO1KjMTVqKi9teIkKQ0XdNSdbJ6ZGTdUxVfNmTivLNKCrUirP0mGEEKLR2f1d3bIdDUzLen58ABZPg8oC02Ns7MGvK0TecsaUlHBohiP+Sipr+HrzUeatSyWnqJIuAW58fGsUI7v6YWvT/P59iCuTXpjOpBWTsLexZ97V8whwDdA7UqMSHxYPUDeVxd/Fn6lRU+uuC+szpzBPAcosHUQvcvhTCHFFVjx39gZMME1LMVbByDdMRbhftybfkvJ3TpZU8sWGdL7YeITC8mr6hnny1g2RDGzvJTPIxWXJKM5g0opJKBTzrp5HsFuw3pEapfiweOLD4kmw4k4CcWHmFObPAhs0TdsMVJ6+qJR6xGKprEgOfwohLpmhGvb9AlvmQknO+R9TXW7aqNnMZeSXMW9tGt9sPUpFtZERXXx5YFA4PYNb6R1NNGLZpdlMWjGJ8ppy5o+YL1spRZNhTmE+G1gN7MHUYy6EEM1TcTYkfw7bPoOSbNNhTScPqCg497HuQdZO16AczCnmk8QUftl5HIBxPQN5YFAY7XxkBrm4MnnleUxaMYnCykLmXT2PiNYRekcSot6YU5jbK6Uet3gSIYRoiJSCY5thyxz442cw1kC74dD7Q2g3DH7/vq7HvI69s+kAaDOUfCSfWQkprNyXg7O9LXf0DWXSwLYEeDT+hUdCf/kV+dy34j5OlJ1gzvA5dPHqonckIeqVOYX50trJLL9ydiuLjEsUQjRdVWWmonvLHMjeA47u0Pt+6HWv6eDmad0nmH5d9QqqMAPN/YypLE3YTzsyeWv5ATILygnctIr47v7sOlbI5rRTuDvbM3Voe+7sF0prFwe9o4omorCykMm/TeZY8TFmDZtFD58eekcSot6ZU5jfUvvrs2dck3GJQoim6VQabPsUtn9palHx6QJj3jcV2g4XWO3dfQJ0n0BiMzk89dOOTJ79YQ/l1QYAMgsqmJOUhpuTHc/Fd+KW3sG4OJrz7UUI85RUlTBl5RRSClL4cMiH9PLrpXckISzCnAVDba0RRC8ylUUIgdEIqatNhzkPLgfNBjqNhd6TIaRfsxxreCFlVTW8uuiPuqL8TK6OdkwaKPdsRP0qqy7joVUPse/kPt6Je4f+gf31jiSExZh1S0PTtK5AZ6Bu3pdSaoGlQlmTTGURohmrKISd/zUV5KdSwMUbYqdB9F3gHqh3ugZBKcW+rGKSDuWSdDCXben5VBnOPwcgq7DivNeFuFwVNRU8suYRdubu5M3YNxkSPETvSEJYlDmbP18E4jAV5kuAUcA6oEkU5kKIZijnD9g6F3Z9C9WlENQb4p6FzteAnaPe6XR3sqSSdYfzSDyYy9pDeeQWm44XRfi25M5+IfywPZOTpVXnfJwc8BT1qdpQzeMJj7MlawuvDXiNkaEj9Y4khMWZc8f8BiAS2KGUulvTNF/gK8vGEkKIemaogQOLTXfH09eCrSN0uxF6T4KAnnqn01W1wUjykXySDuaSdCiX3zOLAGjVwp4B7b2Jbe9FbAdvfN1ML5p2CXA/q8ccwNnelmkjZGydqB81xhqeSnqKtZlreaHvC1wTfo3ekYSwCnMK83KllFHTtBpN09yAE0AbC+cSQoj6UZIL2z83zR4vygT3YBj2MvS8HVw89U6nmyMnS0k6mEviwTw2puRRWmXA1kYjKtiDJ4Z3ILaDN10D3bG1Obe/flxPU5tP3VQWD2emjYiouy7ElTAYDUxfN52VR1fyTO9nuLHDjXpHEsJqzCnMt2ma5gHMBZKBEmCjRVMJIcSVUAoyk02jDvf+CIYqCBsMo9+GDiPAxlbvhFZXUlnDxpSTdXfFj5wsAyColTPX9gwktr03/dp54uZkb9bnG9czkHE9A2WNt6hXRmXkpY0vsTRtKY9GPcrEThP1jiSEVZkzleXB2t9+omnaMsBNKbXbsrGEEOIyVFfA3h9MBfnxHeDQEqLvhl6TwLuD3umsymhU/JFVROJB06HN7UfzqTYonO1t6Rvuyd39Qont4E1bLxc0mTojGgClFK9vfp2fDv/ElMgp3NvtXr0jCWF15hz+7A/sVEqVAgOAKE3TZiiljlg8nRBCmKPgKGybD9sXQNlJ8Iow3R2PvBkcm88K+BPFFaw7lEdS7aHN0wc0O/u7cc+Atgxq7010aCsc7ZrfKwaiYVNK8fa2t/n2wLfc3eVupkRO0TuSELowp5VlFhCpaVok8AQwD9NElkGWDGYtMsdciEZKKUhLNB3mPLDEdC1itGn2eNvYZjF7vLLGQHJ6PomHckk6mMe+LNOhTU8XBwbWHtgc0N4Ln5ZOf/OZhNDXRzs/YsEfC7i14608Fv2YvIojmi1zCvMapZTSNO1a4COl1KeapjWZ15dkjrkQjUxlMez6xlSQ5x2AFp7Q/1GIuQc8mva5dKUUaXmltX3ieWxKPUlZlQE7G43okFZMGxHBoA7edPZ3w+Y8hzaFaIjm7p7LnN1zGN9+PE/3flqKctGsmVOYF2ua9ixwGxCraZoNYN7pICGEqC+5B02zx3d+DVXFphGH4z6BLteBfdO9I1xUUc2GwyfrFvxk5JcDEOLZgvFRQcR28KZvuCeujmbtixOiQVmwdwEf7PiAMWFjeP6q57HRbPSOJISuzPk/+U3ArcC9SqlsTdOCgbcsG0sIIQCjAQ4uMx3mTE0AWwfocr2pXSUoWu90FmEwKn7PLKybnrL9aAEGo8LFwZa+4V7cHxtGbAdvQjxd9I4qxBX5dv+3vLXtLa4OuZpX+7+KbTOcliTEX12wMNc0TVMm2cC7p68rpY5Su/Xz9GMsH1MI0ayUnoQdC2DrfCg8Cm6BMOR5iLoTXL31Tlfvcooq6rZsrjuUS35ZNQDdAt3rCvGo4FY42MndRNE0/HjoR17b/BpxQXG8MfAN7GzkFR8h4OJ3zNdomrYQ+Lm2GAdA0zQHTNNZ7gTWAJ9bNKEQovk4vsPUO77nezBUQuhAGPFP06FO26bzjbui2sDW9FOmu+IH8ziQUwyAd0tHBnf0YVAHbwa088LT1VHnpELUvyWpS3hxw4v09e/L23FvY28r3bFCnHax73QjgXuArzVNawsUAE6ALbACeF8ptcPyEYUQTVpNJfzxs6ldJWMr2LtAz9ug933g00nvdPVCKUVKbgmJB02jDDennaSi2oiDrQ0xoa14Jqojse296eTfUg6+iSZt1ZFVTF83nWjfaGYMmYGjrfzwKcSZLliYK6UqgJnATE3T7AEvoFwpVWCtcEKIJqwwE5I/g+TPoTQXWofDyDehxy3g5K53ukvy047MP9fTb1rNtBERDI7wYX1KXu1d8VyOF1YAEOblws29gont4MVVYZ60cGg6rwQIcTFJGUk8mfQkXb268tHQj3C2c9Y7khANjlnfEZRS1UCWhbMIIZo6peDIelO7yr5fQRmhw0jT3fGwwWDT+Hqof9qRybM/7KG82gBAZkE5j323k9Onb1o62tGvnScPDWlHbHtv2rRuoWNaIfSxKWsTj615jPYe7Zk5bCYu9nJ4WYjzafa3amTBkBD1bPd3sOoVBhVmwI4gGPoCdIyH3d+aCvITf4CTB/R9CHrdC61C9U58Rd5ctr+uKD9NKVNBPv/uXvRo44G9beP7gUOI+pKck8wjqx8hxD2EOcPn4ObgpnckIRqsZl+Yy4IhIerR7u/g10eguhwNoPAY/DQFNHswlINfN7jmI+g6Hhwa953j4wXlzF+XRlZti8pflVTW0Cu0tZVTCdGw7Mndw0OrHsLPxY85w+fg4eShdyQhGrS/Lcw1TXtTKfX0310TQghWvQLV5WdfM9aAvQPcuQLa9IZGfrjxYE4xsxNT+XlnJgpwtrc95445QICH9M+K5m3fyX3cv/J+Wjm2Yu7wuXg5e+kdSYgGz5w75sOBvxbho85zTQjRnCkFhRnnf191OQT3sW6eerY1/RSfJKSwav8JnO1tue2qECYNbMu29PyzeszBVKxPGxGhY1oh9HU4/zCTf5uMi70Ln474FF8XX70jCdEoXGzB0BTgQSBM07TdZ7yrJbDe0sGEEI2EUnBgCSS+CVxg35h7kFUj1RejUbFyXw6zk1JJPpJPqxb2PDasA3f0DaGViwMAQa1MLTl1U1k8nJk2IoJxPQP1jC6EbtIL05m0YhL2NvZ8evWnBLgG6B1JiEbjYnfM/wssBf4FPHPG9WKl1CmLphJCNHxGI+xfBIn/hpw90KotRN0Fe749u53F3tl0ALQRqaox8tPOTOYkpXL4RAlBrZx5+ZouTIhpg7PDuWvDx/UMZFzPQBISEoiLi7N+YCEaiIziDCatmIRCMe/qeQS7BesdSYhG5WJzzAuBQk3T/tqy4qppmuuZ20CFEM2I0Qj7fobEt+DEXvBsB9fNhq43mLZzhvaHVa+gCjPQ3GunsnSfoHdqsxRXVPP1lqN8ui6NnKJKOvm7MePmHsR388dOJqsIcVHZpdlMWjGJ8ppy5o+YT5hHmN6RhGh0zOkxX4zp9WkN0+bPtsABoIsFcwkhGhqjAfb+CElvQe5+8OoA18+DrteDzRl3kbtPgO4TSGxEd49PFFfw2fp0vtp0hOKKGvqFe/LvGyKJbe8lmziFMENeeR73rbiPwspC5l09j4jWcsZCiMvxt4W5UqrbmW9rmhaFqfdcCNEcGA3w+0JTQZ53ELw7wvhPoct1ZxfkjVBaXilzklJZuD2DaoORUV39uD82nMg2MtJNCHPlV+Rz34r7yCnLYc7wOXTxkvt2QlyuS55jrpTarmla4x6vIIT4e4Ya2PM/WPs2nDwMPp3hxs+h07WNckPnmXYdK+CTxBSW7c3G3taGG6KDmDwwjFAv2UYoxKUorCxk8m+TOVZ8jJlDZ9LDp4fekYRo1MyZY/74GW/aAFHAcYslEkLoy1Bt2tKZ9Dbkp4FvN5jwJXQc06gLcqUUiQdz+SQxhU2pp3BzsuPBuHDu7BeKT0snveMJ0eiUVJUwZeUUUgpS+GDIB/T27613JCEaPXPumLc84/c1mHrOF1omjhBCNzVVsOtrWPsOFBwB/0i4+b8QMbpRLwWqMRhZtDuLTxJT2J9djJ+bE/8Y3Ylb+gTj6tjslx8LcVnKqst4aNVD7Du5j3fi3mFA4AC9IwnRJJjTY/4ygKZpbqY3VbHFUwkhrKemCnZ+BWvfg8KjENATRv0bOoxo1AV5WVUN3209xty1aWQWlNPOx5W3bujOtT0CcbBrvHf+hdBbpaGSqWumsjN3J2/GvsmQ4CF6RxKiyTCnlSUG+IzaO+eaphUC9yqltlk4mxDCkmoqYfsCWPc+FGVAYAyMeRfaDWvUBfmp0iq+2JDOgo3p5JdVExPSipev6cKQjj7Y2DTer0uIhqDaUM3jCY+zOWszrw14jZGhI/WOJESTYs7ruPOBB5VSawE0TRtQe627JYNZi6ZpY4Gx7dq10zuKENZRXVFbkL8HxcehTR+45gMIH9KoC/Jjp8r4dF0a32w9SkW1kWGdfHlgUBgxoa31jiZEk1BjrOGppKdIykjihb4vcE34NXpHEqLJMacwN5wuygGUUus0TauxYCarUkr9CvwaExNzn95ZhLCo6nJI/tx0h7wkG4L7wXWzoO2gRl2Q/3G8iNlJKSzanYWNBtf2COT+2DDa+7b8+w8WQpjFYDQwfd10Vh5dydO9nubGDjfqHUmIJsmcwjxR07TZwNeYFg3dBCTUzjNHKbXdgvmEEFeqqgy2zYf1M6D0BIQOhPFzTb820oJcKcXG1JN8kphK0sFcXBxsuad/KPcMaIu/u7Pe8YRoEhanLmbG9hlklWbh/LUz5TXlTI2aym2db9M7mhBNljmFeWTtry/+5XpPTIW6nPoQoiGqLIFtn8KGD6E013RnfNDnENpf72SXzWBULN+bzezEFHZlFOLl6sC0ERHc1icE9xb2escToslYnLqYlza8RIWhAoDymnLsNDv8Xfx1TiZE02bOVJbB1ggihKgnlcWwZS5s/AjKTkLYYIh7BoKv0jvZZauoNvDD9kzmrk0lLa+UUM8W/PO6royPCsLJvnFvHxWiIXp729t1RflpNaqGGdtnEB8Wr1MqIZo+c6ayOALjgdAzH6+UesVysYQQl6yiCLbMho0fQ3m+abrKoKehTeNd+lFYXs1Xm47w2fp08koq6R7kzsyJUYzo4oetTFgRol4dLTrK0rSlLEtfRl553nkfk12abeVUQjQv5rSy/AwUAslApWXjCCEuWXkBbJ4Nmz6GikJoP8JUkAdF653ssmUXVvDpulT+u/kopVUGYjt480BsGH3DPdEaaV+8EA1Rdmk2y9OXszRtKXtP7gUgyicKNwc3iqqKznm8n4uftSMK0ayYU5gHKaVkUKkQDU15PmyaBZs+gcpC04bOQU+ZFgQ1UodPFDM7MZWfdmZiMCrGdA/g/kFhdAlw1zuaEE3GyfKT/HbkN5amLWX7CdP8hi6eXXgy5klGhI7Az8XvnB5zACdbJ6ZGTdUrthDNgjmF+QZN07oppfZYPI0Q4u+VnYJNM013ySuLoOMYU0HuH/n3H9tAJR85xayEVFbuy8HJ3oZbewczaWAYbVq30DuaEE1CUVURq46sYln6MjZnbcagDIS7h/Nwj4cZ2XYkIW4hZz3+dB/56aks/i7+TI2aKv3lQljYBQtzTdP2YJq6YgfcrWlaKqZWFg1QSqkmsWBIiEaj9KTpQOeWOVBVAp2vhdinwK+r3skui9GoWL3/BJ8kprDtSD4eLeyZOrQ9d/QNwdPVUe94QjR6ZdVlJGYksjRtKesy11FtrCbINYh7ut7DyLYj6dCqw0U/Pj4snviweBISEoiLi7NOaCGauYvdMR9jtRRCiAsryYWNH8KWeVBdBl2ug9hp4NtZ72SXparGyC+7jjM7MYVDJ0oI9HDmxbGdualXG1o4mPMinhDiQqoMVazLXMeytGUkZCRQXlOOj7MPN3e8mdFtR9PFs4uc0xCiAbvgd0Gl1BEATdPOt8+62GKJhBAmxTmw4QPTcqCaCug6HgY+CT4d9U52WUoqa/hmy1E+XZdGVmEFHf1a8v5NPYjv7o+9rY3e8YRotGqMNWzJ2sLS9KWsOrKK4upiPBw9GBs2lpFtRxLtG42NJn/HhGgMzLk9tR1oA+RjamPxALI1TcsB7lNKJVswnxDNT3G2aUvntvlgqIJuEyD2SfBqr3cys/y0I5O3lh8gs6CcwE2ruX9QGDlFFXy58QhFFTVcFdaa16/vRlwHb7lzJ8RlMiojO07sYGnaUn478hunKk7hau/KkOAhjGo7ij7+fbC3kaVbQjQ25hTmvwHfK6WWA2iadjWmueafATOBPpaLJ0QzUnQc1r0PyZ+DsQYib4aBT4BnuN7JzPbTjkye/WEP5dUGADILynnhZ9MItpFd/Lh/UBg9g1vpGVGIRkspxR8n/6ibNZ5TloOTrROD2gxiVOgoBgQNwNFWzmcI0ZiZU5hfpZS67/QbSqkVmqa9rZS6v3b5kBDiShRmwLr3YPsCUEaIvAUGPg6tw/ROdsneWLq/rig/k09LRz65vfHOVRdCTykFKSxJW8KytGUcLT6KnY0dAwIG8Fj0YwxuM5gW9jK9SIimwpzCPEvTtKeBb2rfvgnI0TTNFjBaLJkQTV3B0dqC/EtAQY+JpoK8VajeycxWYzCy41gBa/afYM2BXLKLKs77uNxi2U0mxKU4VnyMZWnLWJq+lEP5h7DRbOjt15t7u93L0OChuDvKbH8hmiJzCvNbgReBn2rfXl97zRaYYKFcQjQNu7+DVa8wqDADdgTB0BegTW9Y+y7s/K/pMVG3w4DHwCNY36xmOllSSeLBXNYcyCXpYC6F5dXY2mjEhLTCzcmOooqacz4mwMNZh6RCNC45pTksT1/OsvRl7MkzrQ7p6dOTZ3s/y9WhV+Pl7KVzQiGEpf1tYa6UygP+7wLvPly/cYRoQnZ/B78+AtXlaACFx+DHB0ztKrb2EH0XDHgU3IN0DnpxRqNi7/EiVu8/wZoDJ9iVUYBS4OXqwPDOvgyO8GFAey/cne3P6TEHcLa3ZdqICB2/AiEarvyK/LotnMk5ySgUnVp34vHoxxkROoIA1wC9IwohrOhvC3NN09ZgWjR0FqXUEIskEqKpWPUKVJeffU0ZwMEVHt4Kbg33G25RRTXrDuWxev8JEg7kkldSiaZB9yAPHh3agcEdveka4I6NzdlTVcb1DAT4cyqLhzPTRkTUXRdCQHFVMauPrmZp+lI2Hd+EQRlo696WKT2mMDJ0JG3d2+odUQihE3NaWZ484/dOmCaynPtatRDiT0aj6VDn+VSVNriiXCnFoRMlrNl/gtX7T5B8JJ8ao8LNyY5BET4MjvAmtoM3XmZs5BzXM5BxPQNlW6AQZyivKScxI5FlactYm7GWKmMVga6B3NXlLka1HUWHVh1kfKgQwqxWlr/OKV+vadoWC+U5L03T5mPaRHpCKdW19lpr4FsgFEgHJiil8jXT/9lmAKOBMuAupdR2a+YVzVhlCez6GjbP5jwvNJk0kNaVsqoaNqacZM2BE6zZn0tmgenufke/ltwXG8aQjj70bOOBnSz/EeKyVBuqWX98PUvTlrLm2BrKa8rxcvZiQsQERrYdSXev7lKMCyHOYk4ry5mbP22AaMDax8E/Bz4CFpxx7RlglVLqDU3Tnql9+2lgFNC+9p8+wCxk1rqwtFNpsHWeacJKZSEE9ISYe2HXf89uZ7F3Nh2ntgwBAAAgAElEQVQA1cmRk6Wmu+IHctmUepKqGiMtHGzp386Lhwa3Y3BHb/zd5aCmEJfLYDSwNWdr3eKf4qpi3B3dGd12NKPbjibaNxpbG1u9YwohGihzWlmSMd360zC1sKQB91oy1F8ppZI0TQv9y+Vrgbja338BJGAqzK8FFiilFLBJ0zQPTdP8lVJZ1kkrmg2lIC3JdHf8wBKwsYXO10KfByCoF2gaBF8Fq15BFWaguddOZeluvWFGlTUGtqbl194VP0FqXikAYV4u3NYnhCEdfejVthWOdlIoCHG5jMrI7tzdLElbwor0FZysOEkLuxZ1Wzj7+vfF3la2cAoh/p5mql8bvtrCfNEZrSwFSimP2t9rQL5SykPTtEXAG0qpdbXvWwU8rZTadp7PORmYDODr6xv9zTff/PUhFldSUoKrq6vVn1dPjf1rtjFU4puTSGDmIlxLj1Bl70aW/wgyA0dR5eh53o+x5td8qsLI7lwDu3MN/HHSQIUB7GygY2tbIr1s6e5ti6+L5dtTGvt/58shX3PTtbVkK78W/Eq+IZ9Wtq0Y4z4Gf0d/kkuT2V66nXxDPnbY0bVFV6JbRNPZuTMONg56x64XzeW/8Znka24e9PqaBw8enKyUijnf+8xpZbEHpgCxtZcSgNlKqep6S3iFlFJK07RL/glDKTUHmAMQExOj9Dio1hwPyDXar7kww9Sukvw5lOeDb1cY+hEO3W4gxN6ZkIt8qCW/5r8u+dmXZborHuDuxPiYQAZH+NCvnSctHMx5gaz+NNr/zldAvuamaXHqYr7b8B0VBtMCrXxDPl+d+gqFwk6zo29AX0a1HcXgNoNxdWh6hU1z+G/8V/I1Nw8N8Ws25zv1LMAemFn79u211yZZKpSZck63qGia5g+cqL2eCbQ543FBtdeEuHRKwdFNsPkT2PcroKBjvKldJaS/qV1FBxdb8vPMqI4MjvChg6+rHCwToh68s+2duqL8NIXC3cGdRdctwsPJQ6dkQoimxpzCvJdSKvKMt1drmrbLUoEuwS/AncAbtb/+fMb1hzVN+wbToc/Ci/WXa5o2Fhjbrl07C8cVjUpNJfz+A2yeBVm7wMkd+j4EvSZBq4vdG7eMS1nyI4S4cqmFqaxIX8Hy9OXkluee9zFFVUVSlAsh6pU5hblB07RwpVQKgKZpYYDhbz6mXmma9jWmg55emqZlAC9iKsi/0zTtXuAIcPpE3RJMoxIPYxqXePfFPrdS6lfg15iYmPssk140KsXZsG2+6Z/SXPCKgPh3IfJmcHCxapSiimrWHsxjzYFLW/IjhLg8qQWpLD+ynBXpKzhccBgNjZ4+PXFzcKOoquicx/u5+OmQUgjRlJm7YGiNpmmpmCazhPA3xW59U0rdcoF3DT3PYxXwkGUTiSYnI9nUrrL3RzDWQIcR0Od+CBtstXaV00t+Vu83TVC5kiU/QgjzXKgYf6b3MwwPGY5PCx8Wpy7mpQ0vndXO4mTrxNSoqTomF0I0RRctzDVNswUiMc0Ej6i9fEApVWnpYEJYnKEa/vjZVJBnbAWHlqZWld73gWe4VSKcXvKzer/prrgs+RHC8swpxs8UHxYPwIztM8gqzcLfxZ+pUVPrrgshRH25aGGulDJomnaLUuo9YLeVMlmV9Jg3Q6V5kPwZbP0UirOgdRiMfBN63ApObvX6VD/tyOSt5QfILCgncNNqpo2IoGewhyz5EcLKUgpSWJG+ghVHzCvG/yo+LJ74sPgGOcVBCNF0mNPKsl7TtI+Ab4HS0xebypp76TFvRrJ2m5YB7fkfGCohfAiMnQHthoNN/d+R/mlHJs/+sIfyatORjMyCch77dien53rKkh8hLOtCxfizvZ9lWMiwvy3GhRDC2swpzHvU/vrKGdcUMKT+4whRzww1pq2cmz+BI+vBvgX0vA16TwafjhZ96jeX7a8ryk9TgLuzHT8/NIBQL+seJhWiOThdjC9PX05KYYoU40KIRuVvC3Ol1GBrBBGiXpWdgh1fwpa5UHgM3INh+KsQdTs4t7LoU58qreLz9WlkFVac9/1F5TVSlAtRjw7nH2bFkRWsSF9RV4xH+UbxbIQU40KIxsWczZ+OwHgg9MzHK6VeudDHNCbSY97EnNhnalfZ9Q3UlEPoQBj5L4gYDTaWbRU5XlDO3LWpfLPlGOXVBpzsbaioNp7zuAAP6R8X4kpdrBgfHjIc7xbeekcUQohLZk4ry89AIZAMNLlpLNJj3gQYjXBoualdJTUBbB2h+42m7Zx+3Sz+9Km5JXySmMKPOzIxKri2RwBTBoWz93gR01d8gdZ6KZp9AaraA3VqFNOuvtPimYRoii5UjE/vOJ1hwcOkGBdCNHrmFOZBSqmRFk8ixKWqKIKd/zHdIc9Pg5YBMOR5iL4bXDwt/vS/ZxYyKyGFJb9n4WBrwy29g7lvYBhtWrcA4GBpEk7+P1BdO11UcyjA3v8H7N0jgUCL5xOiKThdjC9PX05qYSoaGtG+0VKMCyGaJHMK8w2apnVTSu2xeBohzJF3GLbMMRXlVSXQpg8MfR46XQO2ll1Jr5RiS9opPk5IIelgLi0d7ZgyKJy7+7fFu+XZi39mbJ9RV5SfVq0qmbF9hsw/FuIiDucfrpszfmYxfnPHm6UYF0I0aRcszDVN+x0w1j7m7trNn5WYtn8qpVR360QUAlAKUlab2lUOrQAbe+h6vWk7Z2C0FZ5esXr/CWYmpJB8JB9PFwemjYjg9r4huDmd/4eB7NLsS7ouRHOllOJwwZ9tKmcW47d0vIVhIcPwcvbSO6YQQljcxe6YB/LnqMQmSw5/NnCVJbD7G1O7St5BcPGGQc9AzD3Q0tfiT19jMLJ4TxazElLYn11MoIczr1zbhQkxbXCyv/hhUj8XP7JKs857XYjm7sxifHn6ctIK09DQiPGLkWJcCNFsXawwT1NKHbFaEp3I4c8GKj/dNOpw+5dQWQj+PeC62dDlOrBz/NsPv1KVNQYWJmfySWIKR0+V0c7HlXdujOSaHgHY25q3jGhs+Fjm7J5zznUfZx+qDFU42DrUd2whGrTTxfjy9OWsOLKCtMI0bDQbon2jubXjrVKMCyGavYsV5j6apj1+oXcqpd61QB7RnCkF6etM7SoHlgAadL4G+kyBNr1B0yweoaSyhv9uPsK8tWmcKK4kMsid6aOjubqzLzY25j9/tbGa1UdX4+HggZOdE9ll2fi7+NPdqzvLjyzngZUP8P7g93FzcLPgVyOE/pRSHCo4VLeBU4pxIYS4sIsV5raAK6aeciEsp7oc9vzP1K6S8zs4t4b+j0Kve8E9yCoR8kur+GxDOl9sSKewvJp+4Z68O6EH/dt5ol3GDwRf/fEVhwsO8+GQD4lrE0dCQgJxcXEAxKXG8fz657ljyR3MGjYLf1f/ev5qhNDXmcX48vTlpBel1xXjEztOZGjIUCnGhRDiPC5WmGc1lSVCooHY/R2seoVBhRmwIwj6/h+UZEPy51B+Cny6wDUfQrcbwd46S3iyCyuYuzaVr7ccpazKwPDOvjwYF07P4MvfDppVksWsXbOIaxNHXJu4c94/JmwMPs4+PLrmUSYumcjHQz+mk2enK/gqhLC+xamLmbF9BlmlWfh/788jPR+hQ+sO5xTjMb4x3NbpNinGhRDCDBcrzOVOuag/u7+DXx+B6nLTH6zCY7DsKdP7Oo4xLQMKHWCVdhWAtLxSZiemsHB7hmkpUGQAD8SF08G35RV/7je3volSimd7P3vBx/T2782CUQuYsmoKdy27i3fi3mFA4IArfm4hrGFx6mJe2vASFYYKALJKs5i+bjoKJcW4EEJcgYsV5kOtlkI0fateNrWs/FVLf7j5P1aLsfd4ITMTUli6Jws7Wxtu7hXM5Ng/lwJdqaSMJFYdXcXUqKkEuAZc9LHtWrXjP6P/w0OrHuLhVQ/zQt8XuL799fWSQwhLei/5vbqi/DSFwt3BnZ/G/STFuBBCXKYLFuZKqVPWDKIXGZdoYaV5kPwZFGac//3F1pnpvSXtFDMTDpNwIBdXRzsmx4Zzz4BQfFo61dtzlNeU8/rm1wl3D+fOznea9TE+LXz4fOTnPJHwBC9ueJHjJcd5qMdDl9XXLoQlGZWRjcc3svDQQnLKcs77mKKqIinKhRDiCpiz+bNJk3GJFpLzB2yeZWphqakwjTisqTz3cRY83KmUIuFALh+vOcy2M5YC3XZVCO7O9b8hdO7uuWSWZDJ/xHzsL2EDqYu9Cx8O/ZBXN77K7N2zySrN4qW+L13S5xDCUnJKc/jx8I/8eOhHjpcex8PRAxc7F0prSs95rMzoF0KIK9PsC3NRj4xGOPwbbJoJqQlg5wSRN5v6x7P31PWY17F3hqEv1HsMg1HVLQXal1VEgLsTL43tzE29gnF2uPhSoMuVWpjKZ3s/Y2zYWHr59brkj7e3seflfi/j7+rPzJ0zOVF2gnfj3qWlw5X3vAtxqWqMNazNWMvCQwtZm7kWozLSx78Pj0U/xpDgIfx25LezeswBnGydmBo1VcfUQgjR+ElhLq5cZQns+ho2zYJTKdAywFRwR98NLVqbHuNTO3Vk1Suowgw09yDTY7pPqL8YNQZ+2J7J7MQU0k+WEe7twls3dOfaHoE42Jm3FOhyKKX456Z/4mznzBMxT1z259E0jSmRUwhwCeClDS9x57I7mTl0ptyFFFaTUZzBD4d+4OfDP3Oi/ARezl7c0/Uerm93PW3c2tQ9Lj4sHuDPqSwu/kyNmlp3XQghxOWRwlxcvvwjsGXOn9s5A6Nh/KfQ+Vo4XxtG9wnQfQKJZ8z0rg+llTV8veUoc9emklNUSbdAdz65LYqrO/td0lKgy7UkbQlbsrfw/FXP4+nsecWf79p21+LdwpvHEx5n4pKJzBw6k4jWEfWQVIhzVRuqWX1sNQsPLmRT1iY0TaN/QH+md5hObFAs9jbnb6mKD4snPiz+rBn9QgghrowU5uLSKAVHN5naVfYvwrSd81q46kFoc+ktHFeioKyKzzek8/mGdArKqukb5snbN0YyoJ2X1Q5PFlUV8dbWt+jq2ZXx7cfX2+ftF9CPL0Z+wYOrHuSuZXfxbty79A3oW2+fX4i0wjR+OPQDv6T8wqmKU/i5+DElcgrXtb9OXqURQgidSGEuzFNTBXt/NBXkWTvByQP6PQK977Pads7TsgsrmLc2lf/WLgUa1smXBweHE3UFS4Eu14fbPyS/Mp+Zw2Zia1O//esRrSP4z+j/MGXlFB5c+SAv93+Za8KvqdfnEM1LRU0Fvx35jYWHFpKck4ydZsegNoMY3348/QL61fufYSGEEJem2RfmMi7xb5TmwbbPYOs805ZOz/YQ/67pUKeDi1WjpOeVMjsphYXJmRiUYmx3f6bEtSPCT58DkntP7uXbA99yS8db6OzZ2SLP4efix4JRC3gs4TH+se4fZJVkMbn7ZBmnKC7JgVMHWHhoIYtSF1FcVUyblm2YGjWVce3GyXhDIYRoQJp9YS7jEi8gZ6/pMOfu78BQCeFD4dqPIXwI2FjuIOX5/HG8iFmJKSzefRw7WxtujAni/thwgj3rZynQ5TAYDby68VU8nT15uOfDFn2ulg4tmTV0Fi9tfImPdn5EVmkW/7jqHxfs/RUCoKy6jKVpS1l4aCF78vZgb2PPsJBh3ND+BmL8YrDRrPv3WAghxN9r9oW5OIPRCIdWmNpV0hLBzhl63Goad+jT0epxtqafYuaaw6w5kIuLgy33xYZxb/+2+LjV31Kgy/X9we/Ze3Ivbw580yojDe1t7Xmt/2v4u/gze/dsssuyeWfQO7jYW/dVC9GwKaXYe3Iv3x/8nqVpSymrKSPcPZynej3F2LCxeDh56B1RCCHERUhhLkzjDnf+FzZ/csa4wxch+q4/xx1aiVKKhIO5zFqTwpb0U7R2ceCJ4R24o28o7i0axh3ivPI8ZmyfQR//PoxqO8pqz6tpGg/3fBh/F39e3fQqdy+7m4+Hfox3C2+rZRANU1FVEYtTF7Pw4EIO5B/AydaJEaEjuKHDDUR6R0rrkxBCNBJSmDdnlzru0IIMRsXS37OYuSaFP7KK8Hd34sWxnbmpVxtaODSsP6bvbHuHCkMF/+jzD10KnvEdxuPTwocnEp9g4pKJzBo2i3CPcKvnEPpSSrHjxA4WHlrIivQVVBgq6NS6E8/1eY7RYaNlOZUQQjRCDaviEZbXgMYdAlTVGPlxRwafJKaSlldKmLcL/76hO+MsvBTocm3N3sqi1EVM7j6Ztu5tdcsxMGggn4/8nIdWPcTtS25nxpAZl7VxVDQ++RX5/JLyCz8c+oHUwlRc7F0YGz6W8R3G08Wzi97xhBBCXAEpzJuLBjDu8Kcdmby1/ACZBeX4b1xFn7at2ZR6iuyiCroGujFzYhQjuvhha4WlQJej2lDNa5teI9A1kPu66X9WuLNn57pxivf/dj+v9X+N0WGj9Y4lLMCojGzJ3sLCgwtZdXQV1cZqIr0jeaXfK4wIHUELe/0OQgshhKg/Upg3dXXjDudCSQ54ddBl3OFPOzJ59oc9lFcbAMgqrOCnnccJ93JhwT29GdjeekuBLtcXf3xBamEqHw/9GCc7/Q+gAgS4BrBg1AIeXfMoT699mqzSLO7pek+D/3cpzJNblsvPKT+z8OBCMkoycHNw46aIm7i+/fW0b9Ve73hCCCHqmRTmTdVfxx22GwZXzYQw6487BPjX0n11RfmZKmqMxHZo+IcXM0symb1rNsOChxEbFKt3nLO4O7oze/hsnlv3HO9vf5+s0iye6f0Mdjby17sxMhgNrD++noUHF5KYkYhBGejl14uHez7MsJBhONo66h1RCCGEhTT779xNasGQ0QiHlpsK8tPjDntONI079I7QJdLe44XMSUolp6jyvO8/XlBu5USX543Nb6BpGk/3flrvKOflYOvAG7Fv4O/qz/zf55Ndms2/Y/8tLQ6NSFZJFj8c/oEfD/1ITlkOrZ1ac0eXOxjffjwhbiF6xxNCCGEFzb4wbxILhiqLzxh3mApugTDsJYi60+rjDsE0LWL94ZPMTkph7aE8XBxscXW0paTy3DvmAR7OVs93qVYfXU1CRgJPRD+Bn4uf3nEuyEaz4bHoxwhwCeD1La9zz/J7+GjoR7LZsQGrNlaTeCyR7w99z4bMDQD0C+jH072fJi4oDnsrT0cSQgihr2ZfmDdqdeMOF0BlEQT1giHPQadrrD7uEKDGYGTJ79nMTkxh7/EivFs68tTICCb2CWHN/hNn9ZgDONvbMm2EPnfyzVVWXcYbW96gnUc7JnaeqHccs9zU8SZ8XXx5KukpbltyG7OGzdJ1gow419Gioyw8tJCfD//MyYqT+LTwYXL3yVzX/joCXQP1jieEEEInUpg3Nucbd9hlHPSZosu4Q4Cyqhq+23qMeevSyMgvJ8zbhTfHd2Ncz0Ac7WwBGNfTVGycnsoS6OHMtBERddcbqtm7Z5NVmsUXI7/A3qbx3L2MaxPH/BHzTeMUl97OB4M/IMo3Su9YzVqloZJVR1ax8NBCtmRvwVazZWDQQG5ofwP9A/vLmQAhhBBSmDcaNVWw94facYe7TOMO+0+FXpOsNu7wr/JKKlmwIZ0Fm45QUFZNTEgrXhjTmWGdfLE5z8jDcT0DGdczkISEBOLi4qwf+BIdzj/Mgr0LGNduXKMsart6deWr0V/x4MoHuW/Ffbw+8HVGhI7QO1azk1KQwvcHv+fX1F8prCwk0DWQR3o+wrXtrsWnhY/e8YQQQjQgUpg3dCW5kPwZbJ3357jDMe9B95vBQZ+Dfel5pcxdm8r3yRlU1hgZ3tmX+2PDiAm1fj+7pSileG3za7g4uPB49ON6x7lsbVq24ctRX/LImkd4MvFJskuzuaPzHTJOsZ4tTl3MjO0zyCrNwv97f6ZETkHTNBYeXMjO3J3Y2dgxNHgo49uPp49/H2y0hrc8SwghhP6kMG+osn+HzbNg9/8axLhDgJ3HCpiTlMLS37Oxt7Hh+qhAJg0Mo52Pqy55LOnX1F9Jzknmpb4v0cqpld5xroiHkwdzhs9h+rrpvL3tbbJKs5gWMw1bG1u9ozUJi1MX89KGl6gwVACQVZrFCxteACDULZQnY55kbPhYWjs1nR9chRBCWIYU5nrZ/R2seoVBhRmwIwiGvgBdb6gddzgT0pIaxLhDpRQJB3L5JDGFzWmnaOlkx5RB4dzVLxQft4axZKe+FVYW8s62d4j0juS69tfpHadeONk58fagt3ln2zss+GMB2aXZ/Gvgv3C2a/hTcRq695LfqyvKz+Tp5Mkv436RVyeEEEKYTQpzPez+Dn59BKrL0QAKj8FPD8Ly6VCaq/u4Q4CqGiO/7DrOnKQUDuaU4O/uxHPxnbi5dzCujk37j80H2z+goLKAOcPnNKmWAxvNhmm9phHgGsCbW95k0opJfDjkQ7mTexlKq0tZfXQ1i1IXkVOWc97HnKo4JUW5EEKIS9K0K6yGatUrUP2XxTrGaqgohBvm6zbuEKC4opqvtxxl/rp0sosqiPBtybsTIhkbGYC9bdMpUi9kT+4e/nfwf0zsNJGI1g17lOPlmthpIn4t/Hh67dPcvuR2Zg2bRbBbsN6xGrxqYzUbj29kUeoi1hxdQ4WhgkDXQFztXSmpLjnn8Q155r0QQoiGSQpzPRRmnP+6oRq6jrdullo5RRV8tj6d/2w6QnFlDX3DPHljfDcGdfBuNnf9aow1vLrpVbydvXm458N6x7GooSFDmec8j/9b/X/ctuQ2Phz6IZHekXrHanCUUuzJ28Oi1EUsS1tGfmU+7o7uXNvuWsaEjSHSO5IlaUvO6jEHcLJ1YmrUVB2TCyGEaIykMNeDe5CpfeV8163s8Ili5iSl8uOOTAxGxahu/twfG0b3IA+rZ9Hbtwe+Zd+pfbw96G1c7F30jmNxPXx68NXor5iycgr3Lr+XNwe+ydCQoXrHahCOFB1hcepiFqUu4ljxMRxtHYlrE8eYsDH0D+h/1kbO+LB4gD+nsrj4MzVqat11IYQQwlxSmOth6At1PeZ17J1N161AKcW2I/nMTkxh5b4TONnbcHOvYCYNbEuIZ9MvSM8ntyyXj3Z8RL+AflwdcrXecawmxC2Er0Z/xf+t+j8eS3iMp3s/zcROjWPDaX07WX6SZenLWJy6mD15e9DQ6O3fm8ndJzMseBiuDheePhQfFk98WHyjmdEvhBCiYZLCXA/dJ5h+XfUKqjADzb12Ksvp6xZiNCpW/JHDnKQUth8toFULe6YObc8dfUPwdHW06HM3dG9tfYsqQxX/6POPZtO6c1prp9bMGzGPp5Oe5o0tb5BVksXjMY83qYOvF1JWXcbqY6tZnLqYjcc3YlAGOrbuyJMxTzIydCS+Lr56RxRCCNGMNPvCXNO0scDYdu3aWfeJu0+A7hNItMIdtopqAz/uyGRuUiqpeaW0ae3MK9d24cboNjg7yCzrjcc3sjR9KQ9GPthsD0E62znzXtx7vLn1Tb744wuySrN4feDrONo2vR/Yaow1bMraxOLUxaw6uorymnL8Xfy5u+vdxLeNp10rK/+/QAghhKjV7AtzpdSvwK8xMTH36Z2lvhWWVfPV5iN8tj6dvJJKugW68+EtPRnV1Q+7ZjBhxRxVhipe3/w6wS2DuafbPXrH0ZWtjS3P9n6WQNdA3t72NrnluXww+AM8nBr/eQOlFHtP7mVx6mKWpC3hVMUpWjq0NLWgtI0nyjeqWbxCIIQQomFr9oV5U5RZUM6na9P4ZutRyqoMxHbw5oHYMPqGeza7No2/M//3+aQXpTN72OwmeXf4Ummaxp1d7sTXxZfpa6dz+1LTOMWgltY/mFwfjhUfY3HqYhanLia9KB17G3vi2sQR3zaegUEDcbB10DuiEEIIUUcK8yZkX1YRc5JS+WXXcTRgbGQA9w0Mo3OAm97RGqRjRceYu3suI0JH0C+wn95xGpSRoSPxdvbmkdWPMHHJRGYOnUkXry56xzLLqYpTLE9fzuLUxezK3QVAL79e3N31boaFDMPNQf4+CCGEaJikMG/klFJsTDnJJ0mpJB3MpYWDLXf1C+WeAW0J9JB16xeilOL1La9jZ2PHtJhpesdpkKJ9o/ly9Jc8uPJB7l5+N2/FvsWgNoP0jnVe5TXlJBxLYHHqYtZnrqdG1dC+VXsei36M0W1Hy7IfIYQQjYIU5o1UjcHI0t+zmZ2Uwu+ZRXi5OjJtRAS39QnBvYU+W0Mbk5VHV7Iucx1P9XpKJm9cRJh7GF+N/oqHVz3MI2se4R99/sGECMtODzKXwWhgc/ZmFqcuZuWRlZTVlOHTwofbu9xOfNv4Jru5VQghRNMlhXkjU1ZVw/+2ZTBvXSrHTpUT5uXCv67vxnU9A3Gylwkr5iitLuWNLW8Q0SqCWzreonecBs/L2Yv5I+YzLWkar256leMlx3kk6hFdDksqpdh3ah+LUxezNG0pueW5uNq7MrLtSMaEjSHaN1oOcQohhGi0pDBvJE6WVLJg4xEWbEwnv6yaqGAPnovvzPBOvtjYyIHOSzFr5yxOlJ3gnUHvYGcjfwXM0cK+BTMGz+D1za/z6e+fklWaxav9X7Xa4cnMkkyWpC5hUeoiUgtTsbOxIzYwljHhY4gNipWDu0IIIZoEqUoauCMnS5m3No3vth2jssbIsE6+PDAojJjQ1npHa5QOnDrAV/u+Ynz78fTw6aF3nEbFzsaO5696ngDXAGZsn8GJshO8P/h93B3dLfJ8hZWFdYc4t5/YDkCUTxQv9H2Bq0OuttjzCiGEEHqRwryB2nWsgDlJqSz9PQs7Gxuu6xnIfbFtaefTUu9ojZZRGXlt02u4ObjxaNSjesdplDRNY1K3Sfi7+PPc+ue4c+mdzBw2kwDXgHr5/BU1FSRmJLI4dTFrM9dSY6whzD2MqVFTGdV2FIGugfXyPEKI/2/v3sOjqu99j7+/JIGEAIKCEFAuIdYbyi0iWi+AKGqEWLvr3pkpTaEAABiqSURBVD22Wz0q1qonPaVUrR7keDtat1bqw+7TWlE8VeuuWhMIXnhA5FRBBMQLFSkBRGgAuYgkgITwPX/MCgImyiUzv7l8Xs+TZ2bWWjPz+WVmsr75zW/9logkIxXmgbz07hoefPVj1ny+nW5zZzJ2xPGU9uvKrKWf8Yc3ljNn+Uba5mYz+pzeXP3dnnRulxs6csorX1bOos8WcdeZd6XFSXNCKiks4ejWR1M2s4wfTfsRE8+byIlHnXhIj1W/u5756+ZTubyS6Z9Mp6auhk55nbjihCsoKSzhhCNP0Pz7IiKSEVSYB/DSu2u47cUP2F5XD8ROCDT2+fd44OWPqP7iS7q0y+X2i0/k3wYdS9tczbDSHD7f8TkPL3iYAUcPoLSoNHSctHBal9N46qKnuGHGDVz1ylU8NOQhzup21gHd191ZunkpU5dPZdqKaazftp78nHyGdx9OSWEJg7oMIquFDmYWEZHMosI8gAdf/XhPUd6grt75rGYnD/2gLyP7dqVltmaWaE6PLHyErTu3csfgOzRrRzMq6lDE0xc/zY0zbuSmGTcx7oxxXHbcZU1uX11TTeWK2Jk4l32+jGzL5qxuZzG2eCznHnsuedmae19ERDKXCvMA/vn59kaX1+92vj8wNU99nswWrV/EC/94gatOvorjOhwXOk7aObr10Tx54ZOMmTWGO9+6kzc+fYOPNn1EdW01Bc8XcN0p12FmVC6vZP66+QD069SP20+/nRE9R9Aht0PgFoiIiCQHFeYBdG2fx5pGivOuOlNns9u1exd3z72bLvlduKHvDaHjpK38nHwePe9RRr82mpmfztyzvLq2mrvm3gVAz3Y9ubHfjZT0KuHYdseGiioiIpK0VJgHMHbE8fuMMQfIy8li7AidqbC5PfPRMyzdvJRHhjxC65zWoeOktZwWOaypWdPouo55Ham4tEIHcYqIiHwDFeYBXNo/NuXbnllZ2ucxdsTxe5ZL81hbu5aJiyZydrezGdZ9WOg4GWFt7dpGl2/cvlFFuYiIyLdQYR7Ipf27cWn/bsyaNYshQ4aEjpOWfv3Or6n3em47/TYVhQnSJb8L1bXVjS4XERGRb6bpKSQt/W3N35j+yXRGnzqaY9tqPHOilA0oIzdr3zn3c7NyKRtQFiiRiIhI6lCPuaSdHbt2cN/b99GzXU+uOvmq0HEySklhCQATFk6IzcqSX0DZgLI9y0VERKRpKV2Ym9kk4BJgvbv3iZYdCTwH9ARWApe7++ZQGSXxHv/wcT7d+imPXfAYLbNaho6TcUoKSygpLNEwLRERkYOU6kNZngQu3G/ZrcAMdz8OmBHdlgzxyRef8PgHj3NRr4sYXDA4dBwRERGRA5bShbm7zwY27be4FJgcXZ8MXJrQUBKMu3Pv3HtpldWKX572y9BxRERERA6KuXvoDIfFzHoCU/cayvK5u7ePrhuwueF2I/cdDYwG6Ny588A///nPCcm8t5qaGtq0aZPw5w0pXm1eWLuQJzY8wb90+BfObXdusz/+4dDrnBnU5vSXae0FtTlTqM2JM3To0AXuXtzYurQuzKPbm939W8/5XVxc7PPnz49bzqZk4jjceLS5ZmcNo14aRce8jjxb8ixZLbKa9fEPl17nzKA2p79May+ozZlCbU4cM2uyME/poSxNWGdmBQDR5frAeSQBJi6ayIbtGxh3xrikK8pFREREDkQ6FuYVwJXR9SuB8m/a2MxGmtkftmzZEvdgEh9LNi3hmSXPcPnxl9OnY5/QcUREREQOSUoX5mb2LDAHON7MVpvZNcD9wPlm9g9geHS7Se4+xd1HH3HEEfEPLM1ut+/m7rl3075Ve27uf3PoOCIiIiKHLKXnMXf3Hzax6ryEBpFgXvjHC7z/2fvcd9Z9HNFK/1yJiIhI6krpHnPJbJt2bOKRBY9Q3LmYSwovCR1HRERE5LBkfGGuMeap6+H5D7Otbht3DL6D2MyYIiIiIqkr4wtzjTFPTQvWLaC8qpwrT76S3u17h44jIiIictgyvjCX1FO3u4575t5D1/yuXN/3+tBxRERERJpFSh/8KZnpT3//E8s+X8Zvh/6WvOy80HFEREREmkXG95hrjHlqqa6p5nfv/Y4hxw5haPehoeOIiIiINJuML8w1xjy1PPDOA7g7tw26LXQUERERkWaV8YW5pI7Zq2czY9UMru97PV3bdA0dR0RERKRZqTCXlLB913bue/s+eh/RmytPujJ0HBEREZFmp4M/JSU89v5jrKlZw6QRk8jJygkdR0RERKTZqcdckt7yLct5YvETjCwcyWldTgsdR0RERCQuMr4w16wsyc3duXfuveRl5zGmeEzoOCIiIiJxk/GFuWZlSW7TVkxj3tp5/GzAzzgq76jQcURERETiJuMLc0leX+z8ggffeZA+R/Xh+8d9P3QcERERkbjSwZ+StB5d+Cibv9zMxOETyWqRFTqOiIiISFypx1yS0uKNi3nu4+f41+P/lZOPOjl0HBEREZG4U2EuSad+dz13z7mbo/KO4ub+N4eOIyIiIpIQGV+Ya1aW5POXpX9h8cbFjC0eS9uWbUPHEREREUmIjC/MNStLctmwfQO/XfhbTi84nYt6XRQ6joiIiEjCZHxhLsnlofkPsaN+B7effjtmFjqOiIiISMKoMJekMa96HlOXT+XqPlfT64heoeOIiIiIJJQKc0kKdfV13PP2PXRr043rTrkudBwRERGRhNM85pIUJv99Miu2rGDieRPJzc4NHUdEREQk4dRjLsGt3rqa37/3e4Z3H845x5wTOo6IiIhIEBlfmGu6xPAemPcAZsYtg24JHUVEREQkmIwvzDVdYlgzV81k1upZ/LTvT+mS3yV0HBEREZFgMr4wl3C21W3j/nn3U9S+iCtOuiJ0HBEREZGgdPCnBPP7939PdW01ky+cTE6LnNBxRERERIJSj7kEsWzzMp5a/BSXFl3KgM4DQscRERERCU6FuSScu3PP2/eQ3zKfnw/8eeg4IiIiIklBQ1kkYSqXVzJh4QSqa6sBuKzoMjrkdgicSkRERCQ5qMdcEqJyeSXj3xq/pygHmLZiGpXLKwOmEhEREUkeKswlIX6z4DfsqN+xz7Id9TuYsHBCoEQiIiIiySXjh7KY2UhgZFFRUegoaWdn/U7eWP0G5cvKWbdtXaPbrK1dm+BUIiIiIskp4wtzd58CTCkuLr4udJZ04O58uOFDyqvKeXnFy3yx8wuOzjua/Jx8autqv7a9TiokIiIiEpPxhbk0j3W165iyfAoVVRWs2LKCVlmtGNZ9GKW9SxlcMJhXVr7C+LfG7zOcJTcrl7IBZQFTi4iIiCQPFeZyyLbv2s7MVTMpX1bO3Oq5OE7/o/tz5xl3MqLnCNq2bLtn25LCEoA9s7IU5BdQNqBsz3IRERGRTKfCXA6Ku7Nw/UIqqip4deWr1NbV0jW/K6NPHc2o3qPo3q57k/ctKSyhpLCEWbNmMWTIkMSFFhEREUkBKszlgKzeupopVbGhKqtrVpOXnccFPS6gtKiUgZ0H0sI0wY+IiIjI4VBhLk2qravltZWvUV5VzoJ1CzCMQV0GcUO/GxjefTitc1qHjigiIiKSNlSYyz7qd9czb+08KqoqmLFqBtt3badHux7c3P9mRhaOpKBNQeiIIiIiImlJhbkAsGLLCiqqKphSNYV129bRNqctlxRewqjeo+jbqS9mFjqiiIiISFpTYZ7Btny5hVdWvEJFVQXvb3ifFtaCM7ueyS+Kf8HQ7kNpldUqdEQRERGRjKHCPMPs2r2Lt/75FuXLynn909ep211HUfsixgwcQ0lhCZ1adwodUURERCQjqTDPEB9v+piKqgoql1eyccdGOrTqwOXHX86o3qM48cgTNVRFREREJDAV5mls4/aNTFsxjYqqCpZsWkJ2i2zO6XYOpUWlnN3tbHKyckJHFBEREZGICvM0U1dfxxur36C8qpy/rf4bu3wXJx11ErcOupWLe11Mh9wOoSOKiIiISCMyvjA3s5HAyKKiotBRDpm7s3jjYsqXlfPyypfZ8uUWOuV14scn/ZhRvUdR1CF12yYiIiKSKTK+MHf3KcCU4uLi60JnOVjrt61n6vKpVCyroGpLFS1btGRY92GUFpUyuGAw2S0y/uUVERERSRmq3FLMjl07mLlqJhVVFcypnsNu302/Tv0Yd8Y4RvQcQbuW7UJHFBEREZFDoMI8Bbg7765/l4qqCl5d+So1dTUU5Bdw7SnXMqr3KHq06xE6ooiIiIgcJhXmSWxNzRqmVE2hoqqCT7d+Sl52Huf3OJ9RvUdxWpfTaGEtQkcUERERkWaiwjyQyuWVTFg4geraagqeL6BsQBklhSVsq9vGa5+8RkVVBe+sfQeAQV0Gcf2p13N+j/NpndM6cHIRERERiQcV5gFULq9k/Fvj2VG/A4Dq2mrGvTmO55Y8x5LNS9i+azvd23bnpn43MbL3SLq26Ro4sYiIiIjEmwrzACYsnLCnKG+wc/dOFn22iMuOu4zSolL6deqns3GKiIiIZBAV5gGsrV3b5LrxZ45PXBARERERSRo6ejCALvldDmq5iIiIiKQ/FeYBlA0oIzcrd59luVm5lA0oC5RIRERERELTUJYASgpLAL6alSX/q1lZRERERCQzqTAPpKSwhJLCEmbNmsWQIUNCxxERERGRwDSURUREREQkCagwFxERERFJAirMRURERESSgApzEREREZEkoMJcRERERCQJqDAXEREREUkCKsxFRERERJJA2hbmZjbJzNab2Yehs4iIiIiIfJu0LcyBJ4ELQ4cQERERETkQaVuYu/tsYFPoHCIiIiIiByI7dICQzGw0MDq6WWNmHweI0RHYEOB5Q1KbM4PanBkyrc2Z1l5QmzOF2pw4PZpaYe6eyCAJZWY9ganu3idwlCaZ2Xx3Lw6dI5HU5sygNmeGTGtzprUX1OZMoTYnh7QdyiIiIiIikkpUmIuIiIiIJIG0LczN7FlgDnC8ma02s2tCZ2rCH0IHCEBtzgxqc2bItDZnWntBbc4UanMSSOsx5iIiIiIiqSJte8xFRERERFKJCnMRERERkSSgwjwQM5tkZuvN7MPQWRLFzI41s9fN7O9mttjMykJnSgQzyzKzd81saugsiWBm/zN6fT80s2fNLDd0pnho6jNsZjeb2ZLod/DrUPmam5nlmtk8M3svatv/jpY/bWYfR6/3JDPLCZ21OZlZezN7PnpNPzKzM/ZaN8bM3Mw6hsx4uBp7L5vZg1Gb3zezv5pZ+2h5jplNNrMPot/HbeGSH5qm9kVmNt7M1pjZoujn4r3uc6qZzYm2/yAV/66Z2coo+yIzmx8t+0HUpt1mVrzXtueb2YJo+wVmNixc8gPXxHv5SDObbmb/iC47RMuviN7fH5jZW2bWd7/HCrLvVmEezpPAhaFDJNguYIy7nwQMBm40s5MCZ0qEMuCj0CESwcy6Af8DKI7OH5AF/FvYVHHzJPt9hs1sKFAK9HX3k4H/CJArXr4Ehrl7X6AfcKGZDQaeBk4ATgHygGvDRYyLCcAr7n4C0Jfos2xmxwIXAKsCZmsuT/L1/dF0oI+7nwosBRoK8B8Ardz9FGAgcH10zpBU8k37ot+4e7/oZxqAmWUDfwJ+En2uhwB1AXI3h6FR2xqK8A+By4DZ+223ARgZvc5XAv83gRkPx5N8/b18KzDD3Y8DZkS3AVYA50ZtvJuvHwgaZN+twjwQd58NbAqdI5HcvdrdF0bXtxJ7w3cLmyq+zOwYoAT4Y+gsCZQN5EU7s9bAPwPniYsmPsM3APe7+5fRNusTHixOPKYmupkT/bi7T4vWOTAPOCZYyGZmZkcA5wCPA7j7Tnf/PFr9G+CXQMrPoNDYe9ndX3P3XdHNuXz1ujqQH32+84CdwBeJytocDmFfdAHwvru/F91no7vXxz9p/Ln7R+7+tbOeu/u77t7wt3sxsb/prRKb7uA18Xe5FJgcXZ8MXBpt+5a7b46W7/0eD7rvVmEuQUQ9LP2Bt8MmibtHiO28d4cOkgjuvoZYL/EqoBrY4u6vhU2VUN8Bzjazt83sDTM7LXSg5hR9tbsIWA9Md/e391qXA/wYeCVUvjjoBXwGPBF9pf1HM8s3s1JgTUOhlgH+O/BydP15oJbY53sV8B/unrKdTI3si26KhjdMahjyQOxz7Wb2qpktNLNfBojaHBx4LRqaMvog7vd9YGFDh0MK6uzu1dH1tUDnRra5hq/e4xBw363CXBLOzNoALwA/c/eU6mk5GGZ2CbDe3ReEzpIo0Y6slFhB05VYz9qPwqZKqGzgSGJfj48F/svMLGyk5uPu9e7ej1jP0iAz67PX6v8EZrv7/wuTLi6ygQHA79y9P7GCdDzwK2BcwFwJY2a3Exv68XS0aBBQT+zz3QsYY2aFgeIdlkb2Rb8DehMbqlUNPBRtmg2cBVwRXX7PzM5LfOLDdpa7DwAuIjZ855xvu4OZnQw8AFwf73CJEH2zt8+3XNEQxGuAW6LbQffdKswloaJetReAp939xdB54uy7wCgzWwn8GRhmZn8KGynuhgMr3P0zd68DXgTODJwpkVYDL0YjO+YR621J6QMDGxMN53idaCynmd0JdAJ+HjJXHKwGVu/1zcDzxAr1XsB70Wf7GGChmXUJEzF+zOwq4BLgCv/qpCf/jdiY+7poqNabQHETD5G0GtsXufu66J/P3cBjxP4Jgdj7YLa7b3D3bcA0Yu+DlBJ9o9kwxO6vfNW+RkXDOf4K/Lu7V8U/YdysM7MCgOhyzxBDMzuV2HCVUnffGC0Ouu9WYS4JE/UcPg585O4Ph84Tb+5+m7sf4+49iR0AOdPd0733eBUw2MxaR6/3eWTIga+Rl4ChAGb2HaAlsYOoUp6ZddprZo484HxgiZldC4wAfhgVNGnD3dcCn5rZ8dGi84h9pX+0u/eMPturgQHRtmnDzC4k9lX+qKgYbbAKGBZtk0/s26EliU946JraFzUUb5HvETswEuBV4JTo71o2cC7w90TlbQ7REKy2DdeJjZtvcla46LNeCdzq7m8mJmXcVBA7gJXoshzAzLoT6zz6sbsvbdg49L47O1FPJPsys2eJHdnd0cxWA3e6++NhU8Xdd4mNQf0gGqcK8KuGI98l9bn722b2PLCQ2Nff75KEpzxuDo19hoFJwKRoqq6dwJV79TSmugJgspllEevU+S93n2pmu4BPgDnRqJ0X3f2ugDmb283A02bWElgOXB04T7Nr4r18G9AKmB69rnPd/SfARGJj7hcDBjzh7u8HCX7oGt0XAT80s37EhjqsJBq+4e6bzexh4J1o3TR3r0x46sPTGfhr9FpmA8+4+ytm9j3gUWLfeFWa2SJ3HwHcBBQB48ysYdjWBcl+QHsT7+X7iQ0rvIbY36rLo83HAUcB/xn9XnbtNVtNMJY++wwRERERkdSloSwiIiIiIklAhbmIiIiISBJQYS4iIiIikgRUmIuIiIiIJAEV5iIiIiIiSUCFuYhImjKzejNbZGbvRacS/8aTPZlZezP76QE87iwzO6RpxcxsWsN86CIisi8V5iIi6Wu7u/dz977E5qX+P9+yfXvgWwvzw+HuF0dnDhURkf2oMBcRyQztgM0AZtbGzGZEvegfmFlptM39QO+ol/3BaNtbom3eM7P793q8H5jZPDNbamZn7/9kZlZgZrOjx/qwYRszW2lmHc3sJ9G6RWa2wsxej9ZfYGZzomx/MbM28fyliIgkE51gSEQkTZlZPfABkEvszJ3D3H1BdFrx1u7+hZl1BOYCxwE9gKnu3ie6/0XA/wKGu/s2MzvS3TeZ2SxggbuPMbOLgZ+7+/D9nnsMkOvu90ZnC23t7lvNbCVQ7O4bou1ygJnAr4E5xE6RfZG715rZLUCrNDuTqIhIk7JDBxARkbjZ7u79AMzsDOApM+tD7FTq95nZOcBuoBuxU3bvbzixU65vA3D3TXutezG6XAD0bOS+7wCTosL7JXdf1Mg2ABOAme4+xcwuAU4C3oxOkd2SWLEuIpIRVJiLiGQAd58T9Y53Ai6OLge6e13Ui517kA/5ZXRZTyP7EnefHRX+JcCTZvawuz+19zZmdhWxXvqbGhYB0939hweZRUQkLWiMuYhIBjCzE4AsYCNwBLA+KsqHEiuOAbYCbfe623TgajNrHT3GkQfxfD2Ade7+GPBHYMB+6wcCvwB+5O67o8Vzge+aWVG0Tb6ZfefgWioikrrUYy4ikr7yzKxhCIkBV7p7vZk9DUwxsw+A+cASAHffaGZvmtmHwMvuPtbM+gHzzWwnMA341QE+9xBgrJnVATXAv++3/ibgSOD1aNjKfHe/NupFf9bMWkXb3QEsPeiWi4ikIB38KSIiIiKSBDSURUREREQkCagwFxERERFJAirMRURERESSgApzEREREZEkoMJcRERERCQJqDAXEREREUkCKsxFRERERJLA/wcT7L+x4AGh3gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(a100_small_fig_4_data['BatchSize'], a100_small_fig_4_data['Theta (inf/s)'], label='V100', marker='o')\n",
    "ax.plot(v100_small_fig_4_data['BatchSize'], v100_small_fig_4_data['Theta (inf/s)'], label='A100', marker='o')\n",
    "ax.plot(cpu_small_fig_4_data['BatchSize'], cpu_small_fig_4_data['Theta (inf/s)'], label='CPU', marker='o')\n",
    "ax.set_xscale('log', basex=2)\n",
    "ax.set_yscale('log', basey=10)\n",
    "ax.set_ylim([1, math.pow(10,5)])\n",
    "plt.xticks(a100_small_fig_4_data['BatchSize'])\n",
    "plt.yticks([1, 10, 100, 1000, 10000, 100000])\n",
    "ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.yaxis.set_major_formatter(ScalarFormatter())\n",
    "ax.grid(True)\n",
    "\n",
    "ax.set_title('Throughput vs. Batch size (Small Model)')\n",
    "ax.set_xlabel('Batch size')\n",
    "ax.set_ylabel('Throughput (samples/s)')\n",
    "\n",
    "ax.legend()\n",
    "\n",
    "save_image(\"throughput-vs-batch-size(small-model)\")\n",
    "\n",
    "plt.show()\n",
    "\n",
    "# fig, ax = plt.subplots()\n",
    "# ax.plot(a100_medium_fig_4_data['BatchSize'], a100_medium_fig_4_data['Theta (inf/s)'], label='V100', marker='o')\n",
    "# ax.plot(v100_medium_fig_4_data['BatchSize'], v100_medium_fig_4_data['Theta (inf/s)'], label='A100', marker='o')\n",
    "# ax.plot(cpu_medium_fig_4_data['BatchSize'], cpu_medium_fig_4_data['Theta (inf/s)'], label='CPU', marker='o')\n",
    "# ax.set_xscale('log', basex=2)\n",
    "# ax.set_yscale('log', basey=10)\n",
    "# ax.set_ylim([1, math.pow(10,5)])\n",
    "# plt.xticks(medium_v100_data_1['BatchSize'])\n",
    "# plt.yticks([1, 10, 100, 1000, 10000, 100000])\n",
    "# ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "# ax.yaxis.set_major_formatter(ScalarFormatter())\n",
    "# ax.grid(True)\n",
    "\n",
    "# ax.set_title('Throughput vs. Batch size (Medium Model)')\n",
    "# ax.set_xlabel('Batch size')\n",
    "# ax.set_ylabel('Throughput (samples/s)')\n",
    "\n",
    "# ax.legend()\n",
    "\n",
    "# save_image(\"throughput-vs-batch-size(medium-model)\")\n",
    "\n",
    "# plt.show()\n",
    "\n",
    "# fig, ax = plt.subplots()\n",
    "# ax.plot(large_v100_data_c1['BatchSize'], large_v100_data_c1['Theta (inf/s)'], label='V100', marker='o')\n",
    "# ax.plot(large_a100_data_c1['BatchSize'], large_a100_data_c1['Theta (inf/s)'], label='A100', marker='o')\n",
    "# ax.plot(large_cpu_data_c1['BatchSize'], large_cpu_data_c1['Theta (inf/s)'], label='CPU', marker='o')\n",
    "# ax.set_xscale('log', basex=2)\n",
    "# ax.set_yscale('log', basey=10)\n",
    "# ax.set_ylim([1, math.pow(10,9)])\n",
    "# plt.xticks(large_v100_data_1['BatchSize'])\n",
    "# plt.yticks([1, 10, 100, 1000, 10000])\n",
    "# ax.xaxis.set_major_formatter(ScalarFormatter())\n",
    "# ax.yaxis.set_major_formatter(ScalarFormatter())\n",
    "# ax.grid(True)\n",
    "\n",
    "# ax.set_title('Throughput vs. Batch size (Large Model)')\n",
    "# ax.set_xlabel('Batch size')\n",
    "# ax.set_ylabel('Throughput (samples/s)')\n",
    "\n",
    "# ax.legend()\n",
    "\n",
    "# save_image(\"throughput-vs-batch-size(large-model)\")\n",
    "\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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LVD+Qc2Bm9jtcXmYuphpqbwJV/+enRcQkqu40D1P9oFKvb1K99s9oHJe8PK4faLGNjjwvEbF7H2Oa9x7BbudHfRaV632b1v1qBj45vV0XUz1m74qI5pPze1j/4VD/jur8hlMi4uSIGNk8Q3keNvrIe1Y/nvcTqq5f6wylGRF/SfXtxCrgWw3tu0ZEq28S1ue50bOcfdalmsjMX0TEZ6jGaL81Ii6kGg7wIKqvRn9GFXQbfY6qj+PFEfEdqj6kr6P6unoBTf9YM/MnEXE2cBxwW0R8j2qYtLdSfY37J/oYU3oD/Ry4sdS2vNT6KqrhLpvHPl7ffXk0In5FNWb7t6lC9GrgksxsezzmpnVmREynCmHfiYiLqYZqfBnVEa7/BY5qHMmjQw5pGIni+VThcx+qrhTLgePKaDTddCKwM/BJ4MiI+BlV3+GXUJ3A+FqqI7F3tbOyzJxdxip/H3BnRFxONXLKFlTP6RuowuvxG1Hz76i6rkyLiCeBu6k+2PxH4yhE7crqtwIuGnDGNY6neo1/tnzIvJ4146w/BRzTNJrH56leR28Hfl0ek7FUJ7T+lKrPcrNOPC9HAn9blr2TKhDvRPW+X0HD+PL9OI/qCPVZETEZuKPUdTDV8JyHt7GOfpX39HFU3WquLn8HesdZfyXVY/SGflbRvL5bywm136UaI/6kiLiK6nW4KVW3mslUJ8bexZqTXjfUjFLjaRFxMFV4fwJ4KdVzOwL4u6YTjN9E9fr5JdXfsAeovt2ZSvUaav6br2HIsC7VSGaeHBH/Q/UP+iiq0R7upDpS8/ls+kGkzJwfEYdQ9WucRhXur6D6x3k6rZ1AFUD/lipsLKU6+ncK1Y/XtBqpYkN9iOpI5bFURyCXUg3z9onmo8QbuC9HUo2/PIUqsETZhw0K66WOX0X1w0inAm+kCjQPUQ3F96nM/N2GrrsfU1nzz/kxqhNJr6X6cabzs2Fo0G4pJ7r9P6oPcu+iCpSjqYLhHVTP5RXruc73R8RlVK+zN1IF02VUYemzNBxh3MCaV0fEoVRB7B1UI7gE1Qfb9Q7rG7D9P5QjwKdSjZCyL9V5IT+iGh71uqb5V0TEG6mOEh9OdVLmIuCfqN6D64T1Dj0vc6lO/nwdsDtV15AlwDyqvyu3trGvf4qIfage69dTfbD+LdWHsf+mA2G9bOfCiJhCdWLyO6k+TPyUqgvJTNYjrJf1/SIiXko1VOxbqX6EaQuqgxT3Un3Y+gHw/ea/rxtQ+50RsRvwYeAtVH9jn0MVwC+iGsr2F02LXU714fwNVH8DXljqugI4s8X8GoZiPUZtkvQsFhE7Ux3ZmZeZbf+MeR/rOpdqTPcdytfDkiRpA9hnXRpmIuLFjf1lS9vzWPNV+A/WXUqSJA0Fu8FIw89JwBERsYDq69YXA/tT9ZO8jKp/pyRJqgHDujT8XEF1kucBVH03V1F1f/kScNb6/KKhJEnqLvusS5IkSTVln3VJkiSppuwG048tt9wyJ0yYMNRlSJIk6VnuhhtueCgzt2puN6z3Y8KECVx//fVDXYYkSZKe5SKi5e9D2A1GkiRJqinDuiRJklRThnVJkiSppuyzLkmSpCHx5JNPsnjxYp544omhLmXQjB49mvHjxzNy5Mi25jesS5IkaUgsXryYF7zgBUyYMIGIGOpyui4zWbp0KYsXL2aHHXZoaxm7wUiSJGlIPPHEE4wbN25YBHWAiGDcuHHr9U2CYV2SJElDZrgE9V7ru7+GdUmSJA1LkydP5vLLL1+r7ayzzuKEE05gypQpjB07loMPPnit6XfddReTJk1i4sSJHH744axcuRKAFStWcPjhhzNx4kQmTZrEokWLOlLjoPZZj4jtgPOArYEEzs7ML0ZED3As8GCZ9ZTMvLQs8zFgBrAa+EBmXl7apwBfBDYFvpGZs0r7DsA8YBxwA3BkZq6MiFFl27sDS4HDM3NR13dakiRJbTlr1iyWr1jRsfWNGTWKk2bO7HP6EUccwbx58zjwwAOfbps3bx6f+cxnePLJJ3n88cf5+te/vtYyJ598Mh/60IeYNm0axx9/POeccw4nnHAC55xzDptvvjkLFy5k3rx5nHzyyXznO9/Z6H0Y7BNMVwF/n5m/jogXADdExBVl2hcy83ONM0fELsA0YFfgJcB/R8RLy+SvAG8CFgPXRcQlmfkb4IyyrnkR8W9UQf9r5frhzJwYEdPKfId3dW8lSZLUtuUrVnBaT0/H1nf6AOs67LDDOPXUU1m5ciXPec5zWLRoEX/605/YZ599iAgWLFiw1vyZyZVXXsn5558PwPTp0+np6eGEE07g4osvpqds77DDDuPEE08kMze6m8+gdoPJzHsz89fl9v8CtwPb9rPIVGBeZq7IzLuAhcCe5bIwM/+QmSupjqRPjerR2A+4sCw/BzikYV1zyu0Lgf1juHWSkiRJ0tO22GIL9txzTy677DKgOqr+zne+s8+AvXTpUsaOHcuIEdXx7vHjx7NkyRIAlixZwnbbbQfAiBEjGDNmDEuXLt3oGoesz3pETABeDfyqNJ0YETdHxOyI2Ly0bQvc07DY4tLWV/s44JHMXNXUvta6yvTlZX5JkiQNU71dYaAK60ccccQQV7S2IQnrEbEZ8D3gpMz8M1U3lZ2A3YB7gc8PRV2ltuMi4vqIuP7BBx8ceAFJkiQ9Y02dOpX58+fz61//mscff5zdd9+9z3nHjRvHI488wqpV1XHhxYsXs+221XHhbbfdlnvuqY4lr1q1iuXLlzNu3MYfFx70sB4RI6mC+rcz8/sAmXl/Zq7OzKeAf6fq5gKwBNiuYfHxpa2v9qXA2IgY0dS+1rrK9DFl/rVk5tmZuUdm7rHVVltt7O5KkiSpxjbbbDMmT57Me97zngGPqkcEkydP5sILqx7Xc+bMYerUqQC87W1vY86cqsf1hRdeyH777deRYSkHNayXPuLnALdn5pkN7ds0zHYocGu5fQkwLSJGlVFedgauBa4Ddo6IHSLiOVQnoV6SmQlcBRxWlp8OXNywrunl9mHAlWV+SZIkDWNHHHEEN91001phfZ999uEd73gH8+fPZ/z48U8P8XjGGWdw5plnMnHiRJYuXcqMGTMAmDFjBkuXLmXixImceeaZzJo1qyO1DfZoMHsDRwK3RMSNpe0U4IiI2I1qOMdFwN8CZOZtEXEB8BuqkWTen5mrASLiROByqqEbZ2fmbWV9JwPzIuKfgP+h+nBAuf6PiFgILKMK+JIkSaqJMaNGDTiCy/qurx2HHHIIzcdwr7766pbz7rjjjlx77bXrtI8ePZrvfve761/kAMKDy33bY4898vrrrx/qMiRJkp6Vbr/9dl7xilcMdRmDrtV+R8QNmblH87z+gqkkSZJUU4Z1SZIkqaYGu8+6JNVSp3/iuk4G+rltSVJ9GdYlic7/xHWddPJkLUnS4LIbjCRJklRThnVJkiQNaxdddBERwW9/+9un26ZMmcLYsWM5+OCD15r3rrvuYtKkSUycOJHDDz+clStXArBixQoOP/xwJk6cyKRJk1i0aFFHarMbjCRJkmph1udmseKxzp0/NOr5o5j5kYHP2Zk7dy6vf/3rmTt3LqeffjoAH/3oR3n88cf5+te/vta8J598Mh/60IeYNm0axx9/POeccw4nnHAC55xzDptvvjkLFy5k3rx5nHzyyXznO9/Z6H0wrEuSJKkWVjy2gh56Ora+nscGXtejjz7Kz372M6666ire+ta3Ph3W999/fxYsWLDWvJnJlVdeyfnnnw/A9OnT6enp4YQTTuDiiy+mp5wjdNhhh3HiiSeSmUTERu2D3WAkSZI0bF188cVMmTKFl770pYwbN44bbrihz3mXLl3K2LFjGTGiOt49fvx4lixZAsCSJUvYbrvtABgxYgRjxoxh6dKlG12fYV2SJEnD1ty5c5k2bRoA06ZNY+7cuUNc0drsBiNJkqRhadmyZVx55ZXccsstRASrV68mIvjsZz/bsvvKuHHjeOSRR1i1ahUjRoxg8eLFbLvttgBsu+223HPPPYwfP55Vq1axfPlyxo0bt9E1emRdkiRJw9KFF17IkUceyd13382iRYu455572GGHHbj66qtbzh8RTJ48mQsvvBCAOXPmMHXqVADe9ra3MWfOnKfXu99++210f3UwrEuSJGmYmjt3LoceeuhabW9/+9uZO3cu++yzD+94xzuYP38+48eP5/LLLwfgjDPO4Mwzz2TixIksXbqUGTNmADBjxgyWLl3KxIkTOfPMM5k1a1ZHarQbjCRJkmph1PNHtTWCy/qsrz9XXXXVOm0f+MAH+l1mxx135Nprr12nffTo0Xz3u99dvwLbYFiXJElSLbQzJvpwYzcYSZIkqaYM65IkSVJNGdYlSZKkmjKsS5IkSTVlWJckSZJqyrAuSZKkYeu+++5j2rRp7LTTTuy+++68+c1v5ve//z3Pfe5z2W233dhll104/vjjeeqpp1iwYAEHH3zwWssfffTRT/9IUjc4dKMkSZJqYdass1ixYnnH1jdq1Bhmzjypz+mZyaGHHsr06dOZN28eADfddBP3338/O+20EzfeeCOrVq1iv/3246KLLmKLLbboWG3tMqxLkiSpFlasWE5Pz2kdW19Pz+n9Tr/qqqsYOXIkxx9//NNtr3rVq1i0aNHT90eMGMHrXvc6Fi5cyJ577tmx2tplNxhJkiQNS7feeiu77757v/M8/vjjzJ8/n7/8y78cpKrWZliXJEmSmtx5553stttu7L333rzlLW/hoIMOIiJazttXeyfYDUaSJEnD0q677trnyaG9fdYbjRs3jocffnittmXLlrHlllt2rUaPrEuSJGlY2m+//VixYgVnn332020333wz99xzT8v5d955Z/70pz9x++23A3D33Xdz0003sdtuu3WtRo+sS5IkaViKCH7wgx9w0kknccYZZzB69GgmTJjAWWed1XL+UaNG8a1vfYtjjjmGJ554gpEjR/KNb3yDMWPGdK1Gw7okSZJqYdSoMQOO4LK+6xvIS17yEi644IJ12m+99daW8++9995cc801G11buwzrkiRJqoX+xkQfruyzLkmSJNWUR9YlSdKgO2vWLJavWDHUZXTFmFGjOGnmzKEuQ88ShnVJkjTolq9YwWk9PUNdRlec/izdr27JzK6OU143mble89sNRpIkSUNi9OjRLF26dL0D7DNVZrJ06VJGjx7d9jIeWZckSdKQGD9+PIsXL+bBBx8c6lIGzejRoxk/fnzb8xvWJUmSNCRGjhzJDjvsMNRl1JrdYCRJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRTI4a6AElSdz3Jk5x++ulDXUZXjHr+KGZ+ZOZQlyFJXWNYlzpo1qyzWLFi+VCX0RWjRo1h5syThroMbYCRjKSHnqEuoyt6HusZ6hIkqasM61IHrVixnJ6e04a6jK7o6Xl2HpmVJKnO7LMuSZIk1ZRhXZIkSaopw7okSZJUU4Z1SZIkqaY8wVSSJKmDns3DpYJDpg42w7okSVIHPZuHSwWHTB1shnUNulmfm8WKx1YMdRmSJEm1Z1jXoFvx2Ipn7RGHZ+t+SZKkoeEJppIkSVJNGdYlSZKkmjKsS5IkSTVlWJckSZJqyrAuSZIk1ZRhXZIkSaopw7okSZJUU46zLkl6xnryyU2f3T/rPmoMM2eeNNRlSBpChnVJ0jPWyJGr6ek5bajL6JqenmfvBxFJ7bEbjCRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmpqUMN6RGwXEVdFxG8i4raI+GBp3yIiroiIO8r15qU9IuJLEbEwIm6OiNc0rGt6mf+OiJje0L57RNxSlvlSRER/25AkSZLqarCPrK8C/j4zdwH2At4fEbsAM4H5mbkzML/cBzgI2LlcjgO+BlXwBk4DJgF7Aqc1hO+vAcc2LDeltPe1DUmSJKmWBjWsZ+a9mfnrcvt/gduBbYGpwJwy2xzgkHJ7KnBeVq4BxkbENsCBwBWZuSwzHwauAKaUaS/MzGsyM8I0cTAAACAASURBVIHzmtbVahuSJElSLQ1Zn/WImAC8GvgVsHVm3lsm3QdsXW5vC9zTsNji0tZf++IW7fSzjea6jouI6yPi+gcffHD9d0ySJEnqkCEJ6xGxGfA94KTM/HPjtHJEPLu5/f62kZlnZ+YembnHVltt1c0yJEmSpH4NeliPiJFUQf3bmfn90nx/6cJCuX6gtC8BtmtYfHxp6699fIv2/rYhSZIk1dJgjwYTwDnA7Zl5ZsOkS4DeEV2mAxc3tB9VRoXZC1heurJcDhwQEZuXE0sPAC4v0/4cEXuVbR3VtK5W25AkSZJqacQgb29v4Ejgloi4sbSdAswCLoiIGcDdwDvLtEuBNwMLgceBYwAyc1lEfAq4rsz3ycxcVm6/DzgXeC5wWbnQzzYkSZKkWhrUsJ6ZPwOij8n7t5g/gff3sa7ZwOwW7dcDr2zRvrTVNiRJktS+J5/clNNPP32oy+iKUaPGMHPmSUNdxloG+8i6JEmSnsFGjlxNT89pQ11GV/T01O9DyJAN3ShJkiSpf4Z1SZIkqaYM65IkSVJNGdYlSZKkmjKsS5IkSTVlWJckSZJqyrAuSZIk1ZRhXZIkSaopw7okSZJUU4Z1SZIkqaYM65IkSVJNGdYlSZKkmjKsS5IkSTVlWJckSZJqyrAuSZIk1ZRhXZIkSaopw7okSZJUU4Z1SZIkqaYM65IkSVJNGdYlSZKkmjKsS5IkSTVlWJckSZJqyrAuSZIk1ZRhXZIkSaopw7okSZJUU4Z1SZIkqaYM65IkSVJNGdYlSZKkmjKsS5IkSTVlWJckSZJqyrAuSZIk1ZRhXZIkSaopw7okSZJUU4Z1SZIkqaYM65IkSVJNGdYlSZKkmjKsS5IkSTU1op2ZImIzYB9gd2Dr0nw/cANwdWY+2p3yJEmSpOGr37AeEXsCHwQOBUb1MduKiPge8KXMvK7D9UmSJEnDVp/dYCLi+8AvgWnAaCCAVcADwIPldpRp7wauiYgLu12wJEmSNFz0d2T9EGAlcDnwPeCazPx94wwR8TJgL+DtwAFUR+AlSZIkdUB/Yf3TwL9m5v19zZCZvwN+B8yJiBcDf9fh+iRJkqRhq8+wnpmnrs+KMvM+4OMbXZEkSZIkYCOGboyIl0TE/xcRbY0oI0mSJGn9tBXWI2JGRFwSEceW+58A/gj8D3BHREzsYo2SJEnSsNTukfV3A28B7o2ILYBTy7IBbA98ojvlSZIkScNXu2H9FeX6BqrRX0YAl1L1UQ9g345XJkmSJA1z7Yb1zcv1A8CuQALfAj5f2l/U4bokSZKkYa/dsP5wuX4rcGC5fQewWbn9aCeLkiRJktR+WL+BqrvL94DJwHLgRqD3xNJFHa9MkiRJGubaDeufAJZRBfangFMyczVrfrH06i7UJkmSJA1rbY2Rnpm/jojtgZcDSxp+1fQLwL8BS7tUnyRJkjRs9RnWI+JW4IfAfwE/z8zHgV83zpOZD3S3PEmSJGn46q8bzOPAPwA/AR6MiP+IiMMjYszglCZJkiQNb32G9czcE9gGOBb4KTAVmEsV3BdExN9HxMsHp0xJkiRp+On3BNPMfCAzZ2fmXwPjgClUfdTHA58FbouIOyLiCxGxf/fLlSRJkoaPdkeDITOfzMwfZ+YHMnMi1Y8jfQz4E3Ai8OMu1ShJkiQNS/2dYDobyMycERFHUd05r3d6Zt4O3A58JiLGAgd1u1hJkiRpOOnvyPrRwPRy+1xgdl8zZuYjmTm3c2VJkiRJ6m+c9SeBERHx+nI/ImI7qh9GWkdm/rHTxUmSJEnDWX9hfTEwgWroxixti/qYNwdYlyRJkqT11F83mHOojqI3HkmPfi6SJEmSOqjPo+GZ+emIuBHYDfgnqqPnpw9WYZIkSdJw12/Xlcy8FLg0Ig6o7qZhXZIkSRokbfUzz8x9u1yHJEmSpCZthfWI2AR4L3AYsB0wqmmWzMydOlybJEmSNKy1O4LLvwAfKbdbnUyaLdokSZIkbYR2w/qRVCH9CeDmcm1AlyRJkrqo3bD+PKpwPikzb+liPZIkSZKK/sZZb3RJuX68W4VIkiRJWlu7R9YvAt4KXBYRnwfuAFY1zpCZP+1wbZIkSdKw1m5Yv5CqG8wLga+2mJ7rsS5JkiRJbVifgN1qFBhJkiRJXdJuWD+mq1VIkiRJWke7v2A6pxMbi4jZwMHAA5n5ytLWAxwLPFhmOyUzLy3TPgbMAFYDH8jMy0v7FOCLwKbANzJzVmnfAZgHjANuAI7MzJURMQo4D9gdWAocnpmLOrFPkiRJUrf0ORpMRGwfEds33u7v0ub2zgWmtGj/QmbuVi69QX0XYBqwa1nmqxGxaURsCnwFOAjYBTiizAtwRlnXROBhqqBPuX64tH+hzCdJkiTVWn9H1hcBT5V5FtH/jyC1dYJpZv40Iia0WdtUYF5mrgDuioiFwJ5l2sLM/ANARMwDpkbE7cB+wLvKPHOAHuBrZV09pf1C4MsREZnpDztJkiSptgYaZz2abvd32RgnRsTNETE7IjYvbdsC9zTMs7i09dU+DngkM1c1ta+1rjJ9eZl/HRFxXERcHxHXP/jgg61mkSRJkgZFf0fDP8mao+mnd7GGrwGfKtv6FPB54D1d3F6/MvNs4GyAPfbYwyPvkiRJGjJ9hvXM7Gm43bWwnpn3996OiH8H/rPcXQJs1zDr+NJGH+1LgbERMaIcPW+cv3ddiyNiBDCmzC9JkiTV1kDdYLouIrZpuHsocGu5fQkwLSJGlVFedgauBa4Ddo6IHSLiOVQnoV5S+p9fBRxWlp8OXNywrunl9mHAlfZXlyRJUt31NxrM1RHx1ogYMNBHxCYRMTUirh5gvrnAL4GXRcTiiJgBfCYibomIm4HJwIcAMvM24ALgN8CPgPdn5upy1PxE4HLgduCCMi/AycCHy8mo44BzSvs5wLjS/mFg5kD7JEmSJA21/vqs7w1cBCyNiB9ShezbWNN9ZBzwSuCvgLcCWwy0scw8okXzOS3aeuf/Z+CfW7RfClzaov0PrBkxprH9CeAdA9UnSZIk1Ul/Yf3DwCnAlsDR5dKXAB6iRbCWJEmStGH67OKSmWcBO1J1ObmhNLcarvEG4H3ADpn5xe6VKkmSJA0v/f6QUWY+CnyV6tdDxwC7AS8qkx8AbszM5d0tUZIkSRqeBvzV0V4llP+ki7VIkiRJajDkQzdKkiRJas2wLkmSJNWUYV2SJEmqKcO6JEmSVFOGdUmSJKmm2grrEXFlRMzvY9onI+L0zpYlSZIkqd2hG/cFso9pp5Zpp3WiIEmSJEmVjeoGExG7dqoQSZIkSWvrM6xHxGkRsToiVlOOqvfeb2i/uUy7d3DKlSRJkoaPgbrBRLnOpvvNLuhMOZIkSZJ69RfWbwTmlNvTqQL7nIbpCTwMXIdhXZIkSeq4PsN6Zl4MXAwQEZOrpjxmsAqTJEmShru2RoPJzAldrkOSJElSk7bCekTMHmCWzMwZHahHkiRJUtHuOOtH0/c461GmGdYlSZKkDmo3rEPfI8FIkiRJ6oK2fhQpMzdpvFCF/InAN4HHgdd2sUZJkiRpWNqgXzDNzKcy8w/Ae6m6wHyuo1VJkiRJWq9uMGuJiOcABwLPAyZ1rCJJkiRJQPujwaweYJZ7OlCLJEmSpAbtHlnv7+TSBD7ZgVokSZIkNWg3rM9p0bYCWAx8PzN/07mSJEmSJEH7v2B6TLcLkSRJkrS29TrBNCL2BvYGtgWWAD/PzJ93ozBJkiRpuGv3BNOxwDzgTS2m/Rg4IjMf6XBtkiRJ0rDW7jjrXwYOoDrRtPlyAPCvXalOkiRJGsbaDetvoxr15Upgf+Dl5fpKqsA+tSvVSZIkScNYu33WVwLPB6Zl5kOl7fcRcRtwH/B/3ShOkiRJGs7aPbJ+frnepql963J9XmfKkSRJktSr3SPrtwHLgMsi4hyqXywdD8wA7gV+FxFH9c6cmYZ3SZIkaSO1G9a/RtVnHeDUFtO/3nA78Ui7JEmStNHWZ5z16FoVkiRJktbRblif3NUqJEmSJK2jrbCemT/pdiGSJEmS1tZ2N5iI2BSYBGwHjGqe7kmlkiRJUme1FdYj4jXA96mCeiueVCpJkiR1WLtH1r8KbN/NQiRJkiStrd2w/kqqo+dzgAuAJ1gzlKMkSZKkLmg3rN9JFdhPysw/d7EeSZIkScUmbc43E3gKOKGLtUiSJElq0OeR9Yi4sqlpOfDpiPgA1ZH2VQ3TMjP370J9kiRJ0rDVXzeYfVm3X3oA2wAvbmqz/7okSZLUYf2F9T9iCJckSZKGTJ9hPTMnDGIdkiRJkpq0e4KpJEmSpEHW7i+Yzu5ncgIPAwsy8z87UpUkSZKktsdZP5qB+69/KCIuA6Zm5uqNqkqSJEnSeneDiQEuBwF/18kCJUmSpOGq3bD+cuA+4HxgIjAa2BmYB9wLvB74IlVgf3fny5QkSZKGn3bD+teoxlZ/f2b+ITNXZuadVL9oug3wT8A/AE9QBXtJkiRJG6ndsP5X5XrvpvbXluu9MvNJ4EFg004UJkmSJA137Z5gugTYEbgoIn5S7m/Dml85XVLm2wq4v8M1SpIkScNSu2H9NOA/yvz7NbQHVVj/RETsQ9WX/RcdrVCSJEkaptoK65l5fkTcD5xO1fVlJPAk8CugJzOvjIjnA9sBf+5WsZIkSdJw0u6RdTJzPjA/IjYBtgQeysynGqY/BjzW+RIlSZKk4antsN6rBPQHulCLJEmSpAZthfWIGOgXSTMz1zv4S5IkSepbuwE7ulqFJEmSpHW0G9bnNN3fFJhANe76/wEXdLAmSZIkSbQ/GswxrdojYj/gv4EbO1mUJEmSpPZ/wbSlzLwSeBT4QGfKkSRJktSr3RNMj2rRPBo4ANisoxVJkiRJAtrvs34u1S+VtpLANR2pRpIkSdLT1me4xb5GhLkWOK4DtUiSJElq0G5Yn9yibQWwODMXd7AeSZIkSUW7o8H8pNuFSJIkSVpb26PBRMR2ETE7IhZHxIqIWFLub9/NAiVJkqThqt3RYLYHfgW8iDV917cBpgNvjog9M/OP3SlRkiRJGp7aPbJ+OrA1VVBfBPwMuKvc36pMlyRJktRB7Yb1A6iGaDwxM3fMzDdk5k7AiVSB/YBuFShJkiQNV+2G9S3L9XlN7ec1TZckSZLUIe2G9QfL9ZFN7X9Trh9qZyXlhNQHIuLWhrYtIuKKiLijXG9e2iMivhQRCyPi5oh4TcMy08v8d0TE9Ib23SPilrLMlyIi+tuGJEmSVGfthvUrqLq7fLkE4QURsRD4ClX3mB+3uZ5zgSlNbTOB+Zm5MzC/3Ac4CNi5XI4DvgZV8AZOAyYBewKnNYTvrwHHNiw3ZYBtSJIkSbXVblj/BNXR9QB2BPYBdij3H6IKzwPKzJ8Cy5qapwJzyu05wCEN7edl5RpgbERsAxwIXJGZyzLzYaoPElPKtBdm5jWZmVRddA4ZYBuSJElSbbUV1jPzHuC1VAH4PmA1cH+5v7HDNm6dmfeW2/dRjToDsC1wT8N8i0tbf+2LW7T3tw1JkiSptgYcZz0iRlEdzQb4aGYe3a1iMjMjIru1/na2ERHHUXW7Yfvt/b0nSZIkDZ0Bj6xn5grgQuD7Xarh/tKFhXL9QGlfAmzXMN/40tZf+/gW7f1tYx2ZeXZm7pGZe2y11VYbvFOSJEnSxmq3z/rtVP3TY6AZN8AlVL+ESrm+uKH9qDIqzF7A8tKV5XLggIjYvJxYegBweZn254jYq4wCc1TTulptQ5IkSaqtdsP6R4GVwFciYoPHVI+IucAvgZdFxOKImAHMAt4UEXcAbyz3AS4F/gAsBP4deB9AZi4DPgVcVy6fLG2Ueb5RlrkTuKy097UNSZIkqbYG7LNefB1YBfw1cGhEPAA80TA9yy+a9iszj+hj0v4t5k3g/X2sZzYwu0X79cArW7QvbbUNSZIkqc7aDet/QTWeem9XmBc3Te/qSaGSJEnScNRuWP8pBnJJkiRpULUV1jNz3y7XIUmSJKlJuyeYSpIkSRpkbR1Zj4hNgPcCh1GNcT6qaZa2TjCVJEmS1L52+6z/C/CRcrvVWOv2Z5ckSZI6rN2wfiRVSH8CuLlcG9AlSZKkLmo3rD+XKpxPysxbuliPJEmSpKLdE0y/W64f71YhkiRJktbW55H1iHhDw90fAm8DLouIzwN3UP2i6dMy86ddqVCSJEkapvrrBrOAdfulbwV8tcW8OcC6JEmSJK2ngQJ2q5FfJEmSJA2C/sL6MYNWhSRJkqR19BfW7wL7okuSJElDZaA+608NMI8kSZKkLhlo6Eb7rEuSJElDpN1x1iVJkiQNsgG7uETE7DbWk5k5owP1SJIkSSra6Y8+vc11GdYlSZKkDmonrLfTb735x5MkSZIkbaR2wvrkrlchSZIkaR0DhvXM/MlgFCJJkiRpbY4GI0mSJNVUf0fW/0j1o0iSJEmShkCfYT0zJwxiHZIkSZKa2A1GkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRTtQnrEbEoIm6JiBsj4vrStkVEXBERd5TrzUt7RMSXImJhRNwcEa9pWM/0Mv8dETG9oX33sv6FZdkY/L2UJEmS2lebsF5MzszdMnOPcn8mMD8zdwbml/sABwE7l8txwNegCvfAacAkYE/gtN6AX+Y5tmG5Kd3fHUmSJGnD1S2sN5sKzCm35wCHNLSfl5VrgLERsQ1wIHBFZi7LzIeBK4ApZdoLM/OazEzgvIZ1SZIkSbVUp7CewI8j4oaIOK60bZ2Z95bb9wFbl9vbAvc0LLu4tPXXvrhFuyRJklRbI4a6gAavz8wlEfEi4IqI+G3jxMzMiMhuF1E+KBwHsP3223d7c5IkSVKfanNkPTOXlOsHgB9Q9Tm/v3RhoVw/UGZfAmzXsPj40tZf+/gW7a3qODsz98jMPbbaaquN3S1JkiRpg9UirEfE8yPiBb23gQOAW4FLgN4RXaYDF5fblwBHlVFh9gKWl+4ylwMHRMTm5cTSA4DLy7Q/R8ReZRSYoxrWJUmSJNVSXbrBbA38oIymOAI4PzN/FBHXARdExAzgbuCdZf5LgTcDC4HHgWMAMnNZRHwKuK7M98nMXFZuvw84F3gucFm5SJIkSbVVi7CemX8AXtWifSmwf4v2BN7fx7pmA7NbtF8PvHKji5UkSZIGSS26wUiSJElal2FdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaMqxLkiRJNWVYlyRJkmrKsC5JkiTVlGFdkiRJqinDuiRJklRThnVJkiSppgzrkiRJUk0Z1iVJkqSaGjHUBWhdZ82axfIVK4a6DEmSJA0xw3oNLV+xgtN6eoa6jK45/Vm8b5IkSZ1kNxhJkiSppgzrkiRJUk0Z1iVJkqSaGlZhPSKmRMTvImJhRMwc6nokSZKk/gybsB4RmwJfAQ4CdgGOiIhdhrYqSZIkqW/DJqwDewILM/MPmbkSmAdMHeKaJEmSpD4Np7C+LXBPw/3FpU2SJEmqpcjMoa5hUETEYcCUzHxvuX8kMCkzT2ya7zjguHL3ZcDvBrVQddqWwENDXYQ0zPi+kwaX77lnh7/IzK2aG4fTjyItAbZruD++tK0lM88Gzh6sotRdEXF9Zu4x1HVIw4nvO2lw+Z57dhtO3WCuA3aOiB0i4jnANOCSIa5JkiRJ6tOwObKemasi4kTgcmBTYHZm3jbEZUmSJEl9GjZhHSAzLwUuHeo6NKjs0iQNPt930uDyPfcsNmxOMJUkSZKeaYZTn3VJkiTpGcWwrkEXER+PiNsi4uaIuDEiJnVovY+W6wkRcWuL6X217xURvyq13B4RPRFxTLl/Y0SsjIhbyu1ZEXF0RGREvLFhHYeUtsM6sS/SxiivxW813B8REQ9GxH+u53oWRMQe5falETG2C7VuFhFfj4g7I+KGss1JZVpGxOcb5v1IRPSU2z0R8XhEvKhh+v/f3r0HW1WWcRz//kASAscAkSnNKCMHRVRQQmsUB6VJcMi8IEJi5SVzupspOROg1jjeGi/RjMRFUEidGJmhFAQxNAdCxUOgEqmYl5LjJcQU9fj0x3q3LHd7n7PPbZ8N5/eZ2XPWWu+71noXs1/Ws5/1rrW2t3X7zFqio76Lkhalc9VmSf/JnceOkfRVSWslbZT0eKFvNdWXGuuHVh0O1q2qJB0NjAWGRsQQ4AQ++rKqjjAXOD8iDgcGA3dGxOyIODwtewk4Ps1fmtZZT/ZEoYIJwBNVbbVZeW8BgyX1SPMnUuJRtc0RESdFxButbtn/mwm8BgyMiGHAN8meGQ2wA/i6pH3KrFsP/KQd2mTWISS16l7CiDglnbfOBVblzmPbgJuBSRFxMHAksDm3amN9qal+aO3MwbpV2yeB+ojYARAR9RHxEoCk5yT9KmUB1koaKum+lHH7TqrTS9JySY+lbPe4NmjTvsDLqT0NEbGxgnVWAcMldZPUC/g8sK4N2mLWVv4IjEnTE4AFhQJJPSXNkrQmZdjGpeU9JC1MV5gWAT1y6zwnaZ/iK1RF2e6Vkm5I/fdJSUdJ+oOkv0u6sriBkg4EvghcHhEfAETEsxGxJFV5n+zGuR+VOcZZwHhJfVryD2RWTZJOTldxH5d0v6T+aflUSfMkPQzMk9RP0rJ0BXqmpC2FQFnSpNRv16UrUl0r3P0lwFUR8RR8eK6bkStvrC811Q+tnTlYt2pbCnxa0iZJv5F0XFH58ykLsAqYA5wGjACmpfJ3gFMiYihwPHCdJLWyTTcAT6fLhxdI6l7BOgHcD3wFGIef2W+1ZyFwZvo+DwFW58p+DqyIiOFk/egaST2BC4H/RsQg4BfAsBbs9930cpbfAvcAF5FdsTpHUt+iuocA6yKioZHt3QJMlLR3ibLtZEHGD1rQTrNqewgYERFHkPXPS3JlBwMnRMQEsr63IiIOAe4GDgCQNAgYD3wpnScbgIkV7nsw8Ggj5U31pcb6obUzB+tWVRGxnSwAOB/YCvxe0jm5KoWgdz2wOiLejIitwI40XlbALyXVkQXL+wH9W9mm6WSXBJcCZwH3VrjqQrKhMGeSy1qa1YKIqAMGkGXVix9ZOxq4VNI6YCXQnSwgOBaYn1u/rgW7zvfhDRHxcrqS9gwffYt0RSJiG3Ab8P0yVW4EJkvaqwVtNaum/YH7JK0Hfkr2Y7VgcUS8naa/THZ+ISLuBV5Py0eRnT//mvruKOBzbdi+sn2pgn5o7ahTPWfdakPKoq0EVqb/tCaTZdEhGxsH8EFuujC/B1kWoR8wLCLek/QcWaDR2jb9A5gh6VZgq6S+EfFqE+uskXQoWSZyU+sT/GZtbjFwLTASyGe1BZwaEU/nK1f4HX6fjyZ6ivtfU304bwNwmKSuTWTXfw08BswuLoiINyTdQZbBN6tlNwHXR8RiSSOBqbmytypYX8DciLisBfveQBbol723qoK+VLYfWvtyZt2qStJBkgbmFh0ObGnGJvYGXkmB+vHAZ9qgTWNyQ2kGkl1arPRGukuBKa1tg1k7mQVMi4j1RcvvA75X+N5LOiIt/zPZ1SUkDSYbPlPs38C+kvpK2pPshvEWST+S1wLTcm0ZIGlMUb3XgDuBb5fZ1PXABTgBZbVtb3be6D25kXoPA2cASBoN9E7LlwOnFZ7aIqmPpErPgdcAUyR9Ia3bpXAvWJGyfamCfmjtxMG6VVsvYK6yR0fVkY3Tm9qM9W8HjkwZ+bOBp5q5/4MkvZD7nA58g2zM+jpgHjCxiSzfhyLiTxHxQDPbYFYVEfFCRNxYougKoBtQJ2lDmgeYAfSS9CQwnRJjXCPivVS2BlhG8/tgsXPJhrJtTjeuzgFeKVHvOnY+Jaa4TfXAImDPVrbFrK18vOhc82Oyc91dkh4le/pKOdOA0ak/nA78C3gzPfzgcmBpOn8uI3toQ5PSsLYfAgtS//4bJYbQVNCXyvZDaz9+g6mZmZlZjUhXrBoi4n1ljzuekW4otU7KlwzNzMzMascBwJ2SugDvKIoG9AAAAxJJREFUAud1cHusgzmzbmZmZmZWozxm3czMzMysRjlYNzMzMzOrUQ7WzczMzMxqlIN1M7NORtIcSZH7HFVUfkxR+cw22m9he3Na0+a2aIuZ2a7CwbqZmX2raN4vPTEzqxEO1s3MbIKkHgCSepHenmhmZh3PwbqZWef2PNlr0E9N8+PJ3jT8fKnKkk6W9KCkbZLekbRe0sWSuhbVmyRps6S3Ja2UNKhcAySdJekRSdtT/TWSxrfR8ZmZ7dIcrJuZdW5z0t/CUJjCEJjZxRUlXQgsBo4F9iJ7Jflg4Brgjly9UcBtwIFAd+A4YEWpnUuaDtwOjAB6pvpHAQslXdzywzIz2z04WDcz69wWAm8BIyWNBY4G3gTuyleStBdwdZp9ETgM6M/OIPwMSSPT9DRAQAMwFugNLC3esaTPAlPS7C1An1R3QVo2XVLv1h2emdmuzcG6mVnnVgjMRZYNh50BfN4xZNl0gFsjoi4iXgGm5+qMTsNhhqf5ByNiSUS8AUwtse8TgcLwmYuA14DXgQlpWQ+yjLuZWaflYN3MzH6X/vYums/bJzf9z9z0C7npfqletzT/Yq7spRLb7FdB2/pUUMfMbLflYN3MrJOLiIeATWl2Q0SsLlGtPje9f5np+vR5L83vlyv7VBPb/FpEKP8BukTE7RUdhJnZbsrBupmZAVwB3ANcVab8EWB7mj5P0qGS+gGX5+osjYgGoBDsHyfpJEmfoPQwmGXAB2n6SklDJH1M0gBJF6VyM7NObY+OboCZmXW8iJgPzG+kfJuky4CbyLLpdUVV7o6IB9L0VLJAuyuwJC17tcQ2n5F0NXAZ2VNlniiqsqWZh2FmtttxZt3MzCoSETcDpwCryLLsO4CNwM/YeVMoEbEcOBt4NtV5CBhVZptTgEnAX9I23wY2k/1w+G47HYqZ2S5DEdHRbTAzMzMzsxKcWTczMzMzq1EO1s3MzMzMapSDdTMzMzOzGuVg3czMzMysRjlYNzMzMzOrUQ7WzczMzMxqlIN1MzMzM7Ma5WDdzMzMzKxGOVg3MzMzM6tR/wOkj0CgtRpXSAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "num_gpus = 3\n",
    "barWidth = 0.25\n",
    "fig = plt.subplots(figsize =(12, 8))\n",
    "\n",
    "# Set position of bar on X axis\n",
    "br1 = np.arange(num_gpus)\n",
    "br2 = [x + barWidth for x in br1]\n",
    "br3 = [x + barWidth for x in br2]\n",
    "# br4 = [x + barWidth for x in br3]\n",
    "# br5 = [x + barWidth for x in br4]\n",
    "# br6 = [x + barWidth for x in br5]\n",
    "\n",
    "small = [x['Theta (inf/s)'].values[0] for x in [small_v100_c1_b32, small_a100_c1_b32, small_cpu_c1_b32]]\n",
    "medium = [x['Theta (inf/s)'].values[0] for x in [medium_v100_c1_b32, medium_a100_c1_b32, medium_cpu_c1_b32]]\n",
    "large = [x['Theta (inf/s)'].values[0] for x in [large_v100_c1_b32, large_a100_c1_b32, large_cpu_c1_b32]]\n",
    "\n",
    "plt.bar(br1, small, color ='r', width = barWidth,\n",
    "        edgecolor ='grey', label ='Small LSTM')\n",
    "plt.bar(br2, medium, color ='g', width = barWidth,\n",
    "        edgecolor ='grey', label ='Medium CNN')\n",
    "plt.bar(br3, large, color ='b', width = barWidth,\n",
    "        edgecolor ='grey', label ='Large TCNN')\n",
    "\n",
    "# Adding Xticks\n",
    "plt.xlabel('GPU', fontweight ='bold', fontsize = 15)\n",
    "plt.ylabel('Throughput (inf/s)', fontweight ='bold', fontsize = 15)\n",
    "plt.xticks([r+barWidth for r in range(num_gpus)],\n",
    "        ['V100', 'A100', 'CPU'])\n",
    "plt.title('Throughput for Different GPUs and Models', fontsize=20)\n",
    "\n",
    "plt.legend()\n",
    "# plt.show()\n",
    "save_image('gpu_throughput')\n",
    "\n",
    "fig = plt.subplots(figsize =(12, 8))\n",
    "\n",
    "br1 = np.arange(3)\n",
    "br2 = [x + barWidth for x in br1]\n",
    "br3 = [x + barWidth for x in br2]\n",
    "# br4 = [x + barWidth for x in br3]\n",
    "# br5 = [x + barWidth for x in br4]\n",
    "# br6 = [x + barWidth for x in br5]\n",
    "\n",
    "v100 = [x['Theta (inf/s)'].values[0] for x in [small_v100_c1_b32, medium_v100_c1_b32, large_v100_c1_b32]]\n",
    "a100 = [x['Theta (inf/s)'].values[0] for x in [small_a100_c1_b32, medium_a100_c1_b32, large_a100_c1_b32]]\n",
    "cpu = [x['Theta (inf/s)'].values[0] for x in [small_cpu_c1_b32, medium_cpu_c1_b32, large_cpu_c1_b32]]\n",
    "\n",
    "plt.bar(br1, v100, color ='r', width = barWidth,\n",
    "        edgecolor ='grey', label ='V100')\n",
    "plt.bar(br2, a100, color ='g', width = barWidth,\n",
    "        edgecolor ='grey', label ='A100')\n",
    "plt.bar(br3, cpu, color ='b', width = barWidth,\n",
    "        edgecolor ='grey', label ='CPU')\n",
    "\n",
    "# Adding Xticks\n",
    "plt.xlabel('Model', fontweight ='bold', fontsize = 15)\n",
    "plt.ylabel('Throughput (inf/s)', fontweight ='bold', fontsize = 15)\n",
    "plt.xticks([r + barWidth for r in range(3)],\n",
    "        ['Small LSTM', 'Medium CNN', 'Large TCNN'])\n",
    "plt.title('Throughput for Different Models and GPUs', fontsize=20)\n",
    "plt.legend()\n",
    "\n",
    "save_image('model_throughput')"
   ]
  }
 ],
 "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": "3.8.10"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}