{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a179cd16ae91dee3",
   "metadata": {},
   "source": [
    "# Anomaly Detection\n",
    "\n",
    "This notebook shows some basic usage of CapyMOA for Anomaly Detection tasks.\n",
    "\n",
    "Algorithms: `HalfSpaceTrees`, `Autoencoder` and `Online Isolation Forest`\n",
    "\n",
    "---\n",
    "\n",
    "*More information about CapyMOA can be found in* https://www.capymoa.org\n",
    "\n",
    "**last update on 29/07/2024**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c190066b9765a7e7",
   "metadata": {},
   "source": [
    "## 1. Unsupervised Anomaly Detection for data streams\n",
    "\n",
    "* Recent research has been focused on unsupervised anomaly detection for data streams, as it is often difficult to obtain labeled data for training.\n",
    "* Instead of using evaluation functions, we first use a basic **test-then-train loop** from scratch to evaluate the model's performance.\n",
    "* Please notice that lower scores indicate higher anomaly likelihood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "8f7fd1e84afbb8a9",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-05-24T02:31:53.712036Z",
     "start_time": "2024-05-24T02:31:51.410148Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUC: 0.54\n"
     ]
    }
   ],
   "source": [
    "from capymoa.datasets import ElectricityTiny\n",
    "from capymoa.anomaly import HalfSpaceTrees\n",
    "from capymoa.evaluation import AnomalyDetectionEvaluator\n",
    "stream = ElectricityTiny()\n",
    "schema = stream.get_schema()\n",
    "learner = HalfSpaceTrees(schema)\n",
    "evaluator = AnomalyDetectionEvaluator(schema)\n",
    "while stream.has_more_instances():\n",
    "    instance = stream.next_instance()\n",
    "    score = learner.score_instance(instance)\n",
    "    evaluator.update(instance.y_index, score)\n",
    "    learner.train(instance)\n",
    "    \n",
    "auc = evaluator.auc()\n",
    "print(f\"AUC: {auc:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3fd96042",
   "metadata": {},
   "source": [
    "## 2. High-level evaluation functions\n",
    "\n",
    "* CapyMOA provides `prequential_evaluation_anomaly` as a high level function to assess Anomaly Detectors\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a905343",
   "metadata": {},
   "source": [
    "### 2.1 ```prequential_evaluation_anomaly```\n",
    "In this example, we use the ```prequential_evaluation_anomaly``` function with ```plot_windowed_results``` to plot AUC for HalfSpaceTrees on Electricity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "06b462e8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-06-21T08:14:35.682090Z",
     "start_time": "2024-06-21T08:14:31.299270Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUC: 0.42903916235645884\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instances</th>\n",
       "      <th>auc</th>\n",
       "      <th>s_auc</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Kappa</th>\n",
       "      <th>Periodical holdout AUC</th>\n",
       "      <th>Pos/Neg ratio</th>\n",
       "      <th>G-Mean</th>\n",
       "      <th>Recall</th>\n",
       "      <th>KappaM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4500.0</td>\n",
       "      <td>0.424887</td>\n",
       "      <td>0.101194</td>\n",
       "      <td>0.499333</td>\n",
       "      <td>-0.057376</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.542373</td>\n",
       "      <td>0.453178</td>\n",
       "      <td>0.601832</td>\n",
       "      <td>-0.275764</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9000.0</td>\n",
       "      <td>0.487969</td>\n",
       "      <td>0.121366</td>\n",
       "      <td>0.506222</td>\n",
       "      <td>-0.006369</td>\n",
       "      <td>0.424887</td>\n",
       "      <td>1.176015</td>\n",
       "      <td>0.483169</td>\n",
       "      <td>0.612664</td>\n",
       "      <td>-0.159103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13500.0</td>\n",
       "      <td>0.468598</td>\n",
       "      <td>0.124515</td>\n",
       "      <td>0.497333</td>\n",
       "      <td>-0.015334</td>\n",
       "      <td>0.487969</td>\n",
       "      <td>1.085264</td>\n",
       "      <td>0.477359</td>\n",
       "      <td>0.613151</td>\n",
       "      <td>-0.133267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>18000.0</td>\n",
       "      <td>0.411306</td>\n",
       "      <td>0.105785</td>\n",
       "      <td>0.483556</td>\n",
       "      <td>-0.072973</td>\n",
       "      <td>0.468598</td>\n",
       "      <td>1.384738</td>\n",
       "      <td>0.447720</td>\n",
       "      <td>0.585534</td>\n",
       "      <td>-0.180444</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22500.0</td>\n",
       "      <td>0.398220</td>\n",
       "      <td>0.092782</td>\n",
       "      <td>0.486000</td>\n",
       "      <td>-0.099953</td>\n",
       "      <td>0.411306</td>\n",
       "      <td>1.552467</td>\n",
       "      <td>0.421006</td>\n",
       "      <td>0.612715</td>\n",
       "      <td>-0.199938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>27000.0</td>\n",
       "      <td>0.356802</td>\n",
       "      <td>0.081525</td>\n",
       "      <td>0.474444</td>\n",
       "      <td>-0.119603</td>\n",
       "      <td>0.398220</td>\n",
       "      <td>1.406417</td>\n",
       "      <td>0.398894</td>\n",
       "      <td>0.633080</td>\n",
       "      <td>-0.233055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>31500.0</td>\n",
       "      <td>0.430827</td>\n",
       "      <td>0.104884</td>\n",
       "      <td>0.541556</td>\n",
       "      <td>0.007289</td>\n",
       "      <td>0.356802</td>\n",
       "      <td>1.567028</td>\n",
       "      <td>0.473213</td>\n",
       "      <td>0.675646</td>\n",
       "      <td>-0.088983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>36000.0</td>\n",
       "      <td>0.402884</td>\n",
       "      <td>0.095072</td>\n",
       "      <td>0.518000</td>\n",
       "      <td>-0.029875</td>\n",
       "      <td>0.430827</td>\n",
       "      <td>1.501390</td>\n",
       "      <td>0.457435</td>\n",
       "      <td>0.647908</td>\n",
       "      <td>-0.152191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>40500.0</td>\n",
       "      <td>0.442440</td>\n",
       "      <td>0.100413</td>\n",
       "      <td>0.529333</td>\n",
       "      <td>0.008480</td>\n",
       "      <td>0.402884</td>\n",
       "      <td>1.306509</td>\n",
       "      <td>0.466961</td>\n",
       "      <td>0.693998</td>\n",
       "      <td>-0.120569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>45000.0</td>\n",
       "      <td>0.428407</td>\n",
       "      <td>0.100096</td>\n",
       "      <td>0.479778</td>\n",
       "      <td>-0.069896</td>\n",
       "      <td>0.442440</td>\n",
       "      <td>1.190847</td>\n",
       "      <td>0.437049</td>\n",
       "      <td>0.626738</td>\n",
       "      <td>-0.217052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>45312.0</td>\n",
       "      <td>0.415528</td>\n",
       "      <td>0.093746</td>\n",
       "      <td>0.467333</td>\n",
       "      <td>-0.098952</td>\n",
       "      <td>0.428407</td>\n",
       "      <td>1.212389</td>\n",
       "      <td>0.420767</td>\n",
       "      <td>0.615572</td>\n",
       "      <td>-0.244198</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "    instances       auc     s_auc  Accuracy     Kappa  Periodical holdout AUC  \\\n",
       "0      4500.0  0.424887  0.101194  0.499333 -0.057376                0.000000   \n",
       "1      9000.0  0.487969  0.121366  0.506222 -0.006369                0.424887   \n",
       "2     13500.0  0.468598  0.124515  0.497333 -0.015334                0.487969   \n",
       "3     18000.0  0.411306  0.105785  0.483556 -0.072973                0.468598   \n",
       "4     22500.0  0.398220  0.092782  0.486000 -0.099953                0.411306   \n",
       "5     27000.0  0.356802  0.081525  0.474444 -0.119603                0.398220   \n",
       "6     31500.0  0.430827  0.104884  0.541556  0.007289                0.356802   \n",
       "7     36000.0  0.402884  0.095072  0.518000 -0.029875                0.430827   \n",
       "8     40500.0  0.442440  0.100413  0.529333  0.008480                0.402884   \n",
       "9     45000.0  0.428407  0.100096  0.479778 -0.069896                0.442440   \n",
       "10    45312.0  0.415528  0.093746  0.467333 -0.098952                0.428407   \n",
       "\n",
       "    Pos/Neg ratio    G-Mean    Recall    KappaM  \n",
       "0        1.542373  0.453178  0.601832 -0.275764  \n",
       "1        1.176015  0.483169  0.612664 -0.159103  \n",
       "2        1.085264  0.477359  0.613151 -0.133267  \n",
       "3        1.384738  0.447720  0.585534 -0.180444  \n",
       "4        1.552467  0.421006  0.612715 -0.199938  \n",
       "5        1.406417  0.398894  0.633080 -0.233055  \n",
       "6        1.567028  0.473213  0.675646 -0.088983  \n",
       "7        1.501390  0.457435  0.647908 -0.152191  \n",
       "8        1.306509  0.466961  0.693998 -0.120569  \n",
       "9        1.190847  0.437049  0.626738 -0.217052  \n",
       "10       1.212389  0.420767  0.615572 -0.244198  "
      ]
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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from capymoa.evaluation.visualization import plot_windowed_results\n",
    "from capymoa.datasets import Electricity\n",
    "from capymoa.anomaly import HalfSpaceTrees\n",
    "from capymoa.evaluation import prequential_evaluation_anomaly\n",
    "\n",
    "stream = Electricity()\n",
    "hst = HalfSpaceTrees(schema=stream.get_schema())\n",
    "\n",
    "\n",
    "results_hst = prequential_evaluation_anomaly(stream=stream, learner=hst, window_size=4500)\n",
    "\n",
    "print(f\"AUC: {results_hst.auc()}\")\n",
    "display(results_hst.windowed.metrics_per_window())\n",
    "plot_windowed_results(results_hst, metric=\"auc\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5ce2efc-b595-4f6d-8b6c-d2dbcc01e527",
   "metadata": {},
   "source": [
    "## 2.2 Autoencoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "63fd40e2-4c23-46bd-beb0-044a23b91447",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUC: 0.5230563943495156\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instances</th>\n",
       "      <th>auc</th>\n",
       "      <th>s_auc</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Kappa</th>\n",
       "      <th>Periodical holdout AUC</th>\n",
       "      <th>Pos/Neg ratio</th>\n",
       "      <th>G-Mean</th>\n",
       "      <th>Recall</th>\n",
       "      <th>KappaM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4500.0</td>\n",
       "      <td>0.544910</td>\n",
       "      <td>0.222925</td>\n",
       "      <td>0.504889</td>\n",
       "      <td>0.044039</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.542373</td>\n",
       "      <td>0.516265</td>\n",
       "      <td>0.434799</td>\n",
       "      <td>-0.261608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9000.0</td>\n",
       "      <td>0.513216</td>\n",
       "      <td>0.198620</td>\n",
       "      <td>0.489778</td>\n",
       "      <td>-0.011067</td>\n",
       "      <td>0.544910</td>\n",
       "      <td>1.176015</td>\n",
       "      <td>0.491096</td>\n",
       "      <td>0.437500</td>\n",
       "      <td>-0.197705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13500.0</td>\n",
       "      <td>0.504520</td>\n",
       "      <td>0.206141</td>\n",
       "      <td>0.503111</td>\n",
       "      <td>0.012575</td>\n",
       "      <td>0.513216</td>\n",
       "      <td>1.085264</td>\n",
       "      <td>0.500149</td>\n",
       "      <td>0.427412</td>\n",
       "      <td>-0.120240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>18000.0</td>\n",
       "      <td>0.516622</td>\n",
       "      <td>0.219586</td>\n",
       "      <td>0.516222</td>\n",
       "      <td>0.054810</td>\n",
       "      <td>0.504520</td>\n",
       "      <td>1.384738</td>\n",
       "      <td>0.523022</td>\n",
       "      <td>0.450823</td>\n",
       "      <td>-0.105778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22500.0</td>\n",
       "      <td>0.556117</td>\n",
       "      <td>0.240853</td>\n",
       "      <td>0.516667</td>\n",
       "      <td>0.058864</td>\n",
       "      <td>0.516622</td>\n",
       "      <td>1.552467</td>\n",
       "      <td>0.527151</td>\n",
       "      <td>0.462185</td>\n",
       "      <td>-0.128346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>27000.0</td>\n",
       "      <td>0.598999</td>\n",
       "      <td>0.274222</td>\n",
       "      <td>0.553778</td>\n",
       "      <td>0.132179</td>\n",
       "      <td>0.556117</td>\n",
       "      <td>1.406417</td>\n",
       "      <td>0.561848</td>\n",
       "      <td>0.474144</td>\n",
       "      <td>-0.046924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>31500.0</td>\n",
       "      <td>0.484991</td>\n",
       "      <td>0.201277</td>\n",
       "      <td>0.483556</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.598999</td>\n",
       "      <td>1.567028</td>\n",
       "      <td>0.492828</td>\n",
       "      <td>0.439388</td>\n",
       "      <td>-0.226755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>36000.0</td>\n",
       "      <td>0.480584</td>\n",
       "      <td>0.208603</td>\n",
       "      <td>0.488667</td>\n",
       "      <td>0.007570</td>\n",
       "      <td>0.484991</td>\n",
       "      <td>1.501390</td>\n",
       "      <td>0.498176</td>\n",
       "      <td>0.427249</td>\n",
       "      <td>-0.222311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>40500.0</td>\n",
       "      <td>0.467688</td>\n",
       "      <td>0.197652</td>\n",
       "      <td>0.490000</td>\n",
       "      <td>0.000195</td>\n",
       "      <td>0.480584</td>\n",
       "      <td>1.306509</td>\n",
       "      <td>0.494291</td>\n",
       "      <td>0.424088</td>\n",
       "      <td>-0.214214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>45000.0</td>\n",
       "      <td>0.554163</td>\n",
       "      <td>0.239936</td>\n",
       "      <td>0.516889</td>\n",
       "      <td>0.043774</td>\n",
       "      <td>0.467688</td>\n",
       "      <td>1.190847</td>\n",
       "      <td>0.518599</td>\n",
       "      <td>0.460343</td>\n",
       "      <td>-0.130231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>45312.0</td>\n",
       "      <td>0.565640</td>\n",
       "      <td>0.247658</td>\n",
       "      <td>0.525333</td>\n",
       "      <td>0.060527</td>\n",
       "      <td>0.554163</td>\n",
       "      <td>1.212389</td>\n",
       "      <td>0.527728</td>\n",
       "      <td>0.473236</td>\n",
       "      <td>-0.108722</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    instances       auc     s_auc  Accuracy     Kappa  Periodical holdout AUC  \\\n",
       "0      4500.0  0.544910  0.222925  0.504889  0.044039                0.000000   \n",
       "1      9000.0  0.513216  0.198620  0.489778 -0.011067                0.544910   \n",
       "2     13500.0  0.504520  0.206141  0.503111  0.012575                0.513216   \n",
       "3     18000.0  0.516622  0.219586  0.516222  0.054810                0.504520   \n",
       "4     22500.0  0.556117  0.240853  0.516667  0.058864                0.516622   \n",
       "5     27000.0  0.598999  0.274222  0.553778  0.132179                0.556117   \n",
       "6     31500.0  0.484991  0.201277  0.483556 -0.007277                0.598999   \n",
       "7     36000.0  0.480584  0.208603  0.488667  0.007570                0.484991   \n",
       "8     40500.0  0.467688  0.197652  0.490000  0.000195                0.480584   \n",
       "9     45000.0  0.554163  0.239936  0.516889  0.043774                0.467688   \n",
       "10    45312.0  0.565640  0.247658  0.525333  0.060527                0.554163   \n",
       "\n",
       "    Pos/Neg ratio    G-Mean    Recall    KappaM  \n",
       "0        1.542373  0.516265  0.434799 -0.261608  \n",
       "1        1.176015  0.491096  0.437500 -0.197705  \n",
       "2        1.085264  0.500149  0.427412 -0.120240  \n",
       "3        1.384738  0.523022  0.450823 -0.105778  \n",
       "4        1.552467  0.527151  0.462185 -0.128346  \n",
       "5        1.406417  0.561848  0.474144 -0.046924  \n",
       "6        1.567028  0.492828  0.439388 -0.226755  \n",
       "7        1.501390  0.498176  0.427249 -0.222311  \n",
       "8        1.306509  0.494291  0.424088 -0.214214  \n",
       "9        1.190847  0.518599  0.460343 -0.130231  \n",
       "10       1.212389  0.527728  0.473236 -0.108722  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from capymoa.evaluation.visualization import plot_windowed_results\n",
    "from capymoa.datasets import Electricity\n",
    "from capymoa.anomaly import Autoencoder\n",
    "from capymoa.evaluation import prequential_evaluation_anomaly\n",
    "\n",
    "stream = Electricity()\n",
    "ae = Autoencoder(schema=stream.get_schema())\n",
    "\n",
    "results_ae = prequential_evaluation_anomaly(stream=stream, learner=ae, window_size=4500)\n",
    "\n",
    "print(f\"AUC: {results_ae.auc()}\")\n",
    "display(results_ae.windowed.metrics_per_window())\n",
    "plot_windowed_results(results_ae, metric=\"auc\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "de4c8ccd-b29e-4c53-ae8d-923c6b9e0e5a",
   "metadata": {},
   "source": [
    "## 2.3 Online Isolation Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "28171920-a2d8-4c1e-bb2a-39d81079ebf8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AUC: 0.520108250564401\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instances</th>\n",
       "      <th>auc</th>\n",
       "      <th>s_auc</th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>Kappa</th>\n",
       "      <th>Periodical holdout AUC</th>\n",
       "      <th>Pos/Neg ratio</th>\n",
       "      <th>G-Mean</th>\n",
       "      <th>Recall</th>\n",
       "      <th>KappaM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4500.0</td>\n",
       "      <td>0.516486</td>\n",
       "      <td>0.019243</td>\n",
       "      <td>0.606000</td>\n",
       "      <td>0.002273</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.542373</td>\n",
       "      <td>0.091753</td>\n",
       "      <td>0.993407</td>\n",
       "      <td>-0.003964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>9000.0</td>\n",
       "      <td>0.473500</td>\n",
       "      <td>-0.007678</td>\n",
       "      <td>0.540444</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.516486</td>\n",
       "      <td>1.176015</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.078769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13500.0</td>\n",
       "      <td>0.485192</td>\n",
       "      <td>-0.008112</td>\n",
       "      <td>0.520444</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.473500</td>\n",
       "      <td>1.085264</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.081162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>18000.0</td>\n",
       "      <td>0.508877</td>\n",
       "      <td>0.015705</td>\n",
       "      <td>0.566667</td>\n",
       "      <td>-0.014223</td>\n",
       "      <td>0.485192</td>\n",
       "      <td>1.384738</td>\n",
       "      <td>0.198973</td>\n",
       "      <td>0.945656</td>\n",
       "      <td>0.009524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>22500.0</td>\n",
       "      <td>0.465127</td>\n",
       "      <td>0.022282</td>\n",
       "      <td>0.609778</td>\n",
       "      <td>0.011374</td>\n",
       "      <td>0.508877</td>\n",
       "      <td>1.552467</td>\n",
       "      <td>0.138185</td>\n",
       "      <td>0.990135</td>\n",
       "      <td>0.089023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>27000.0</td>\n",
       "      <td>0.514274</td>\n",
       "      <td>0.034964</td>\n",
       "      <td>0.597778</td>\n",
       "      <td>0.037475</td>\n",
       "      <td>0.465127</td>\n",
       "      <td>1.406417</td>\n",
       "      <td>0.180577</td>\n",
       "      <td>0.999620</td>\n",
       "      <td>0.056309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>31500.0</td>\n",
       "      <td>0.634469</td>\n",
       "      <td>0.046907</td>\n",
       "      <td>0.618222</td>\n",
       "      <td>0.024269</td>\n",
       "      <td>0.514274</td>\n",
       "      <td>1.567028</td>\n",
       "      <td>0.141300</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.093130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>36000.0</td>\n",
       "      <td>0.613453</td>\n",
       "      <td>0.050725</td>\n",
       "      <td>0.614889</td>\n",
       "      <td>0.049397</td>\n",
       "      <td>0.634469</td>\n",
       "      <td>1.501390</td>\n",
       "      <td>0.226227</td>\n",
       "      <td>0.990004</td>\n",
       "      <td>0.079416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>40500.0</td>\n",
       "      <td>0.555540</td>\n",
       "      <td>0.031629</td>\n",
       "      <td>0.568000</td>\n",
       "      <td>0.005282</td>\n",
       "      <td>0.613453</td>\n",
       "      <td>1.306509</td>\n",
       "      <td>0.090399</td>\n",
       "      <td>0.996469</td>\n",
       "      <td>-0.028511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>45000.0</td>\n",
       "      <td>0.622690</td>\n",
       "      <td>0.033355</td>\n",
       "      <td>0.543556</td>\n",
       "      <td>0.000170</td>\n",
       "      <td>0.555540</td>\n",
       "      <td>1.190847</td>\n",
       "      <td>0.031192</td>\n",
       "      <td>0.999182</td>\n",
       "      <td>-0.067845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>45312.0</td>\n",
       "      <td>0.644950</td>\n",
       "      <td>0.035099</td>\n",
       "      <td>0.548000</td>\n",
       "      <td>0.000189</td>\n",
       "      <td>0.622690</td>\n",
       "      <td>1.212389</td>\n",
       "      <td>0.031345</td>\n",
       "      <td>0.999189</td>\n",
       "      <td>-0.055777</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    instances       auc     s_auc  Accuracy     Kappa  Periodical holdout AUC  \\\n",
       "0      4500.0  0.516486  0.019243  0.606000  0.002273                0.000000   \n",
       "1      9000.0  0.473500 -0.007678  0.540444  0.000000                0.516486   \n",
       "2     13500.0  0.485192 -0.008112  0.520444  0.000000                0.473500   \n",
       "3     18000.0  0.508877  0.015705  0.566667 -0.014223                0.485192   \n",
       "4     22500.0  0.465127  0.022282  0.609778  0.011374                0.508877   \n",
       "5     27000.0  0.514274  0.034964  0.597778  0.037475                0.465127   \n",
       "6     31500.0  0.634469  0.046907  0.618222  0.024269                0.514274   \n",
       "7     36000.0  0.613453  0.050725  0.614889  0.049397                0.634469   \n",
       "8     40500.0  0.555540  0.031629  0.568000  0.005282                0.613453   \n",
       "9     45000.0  0.622690  0.033355  0.543556  0.000170                0.555540   \n",
       "10    45312.0  0.644950  0.035099  0.548000  0.000189                0.622690   \n",
       "\n",
       "    Pos/Neg ratio    G-Mean    Recall    KappaM  \n",
       "0        1.542373  0.091753  0.993407 -0.003964  \n",
       "1        1.176015  0.000000  1.000000 -0.078769  \n",
       "2        1.085264  0.000000  1.000000 -0.081162  \n",
       "3        1.384738  0.198973  0.945656  0.009524  \n",
       "4        1.552467  0.138185  0.990135  0.089023  \n",
       "5        1.406417  0.180577  0.999620  0.056309  \n",
       "6        1.567028  0.141300  1.000000  0.093130  \n",
       "7        1.501390  0.226227  0.990004  0.079416  \n",
       "8        1.306509  0.090399  0.996469 -0.028511  \n",
       "9        1.190847  0.031192  0.999182 -0.067845  \n",
       "10       1.212389  0.031345  0.999189 -0.055777  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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/mh4fH1/oOseOHeOWW27hgQce4N133+Xo0aM88sgjeHl5FQrzM2bMYOTIkaxZs4ZVq1YxaNAgOnfuTI8ePYr09f2jjIwMevXqRWxsLL///jsnTpxgyJAhDB8+vFD4XrJkCf7+/ixatAgAh8NRcN4vv/yCm5sbL730Er1792bLli3YbDb69OnD0KFD+eyzz8jJyWHt2rUYhsGAAQPYtm0b8+fPL+hlUNpDN0REREREiiIn18mve5PIu8SDUdM0OXr6bBlXVXIU9AWAvXv3YpomjRs3vuj+xo0bc/r0aU6ePElwcDAAt9xyC4899hgAo0aNYuLEifz8889FDvoOh4PJkydTt25dIH++hhdeeKFg/7hx43jjjTfo168fANHR0ezYsYP333+/yEE/NzeXfv36Ubt2bQCaN29esP/1119n1KhR3H333QC8+uqr/Pzzz7z55psXnb/B3d290Bj46OhoVq1axRdffMFdd91FlSpV8Pb2Jjs7+7Jd9d977z0iIyN55513OHPmDG3btiUhIYFRo0YxduzYggkoY2JiGDduHAD169fn3XffZcmSJZcN+lu3bqVKlSoFnzdp0oS1a9cya9YssrKy+Pjjj/H1ze9+9O6773Lbbbfx6quvFkyA6evry4cffljQC+DTTz/F6XTy4YcfFrzBM23aNAICAli2bBlt27YlNTWVW2+9teDf8Y9tqEqVKgW9DERERERErObIczJnw1HeXhLHsZRLB3nDMIgI9L7k/vJOQb8MeLvb2fFCryIfP2HRHqb9evCi7y7ZDYPBXaIY2aNBke99Na6mq39MTEzB/xuGQUhICCdOnCjy+T4+PgXhECA0NLTg/IyMDPbt28dDDz3E0KFDC47Jzc0t8lPhFi1acNNNN9G8eXN69epFz549+fOf/0xgYCBpaWnEx8fTuXPnQud07tyZzZs3X/KakyZNYurUqRw+fJizZ8+Sk5Nz1TPp79y5k9jY2ILgfP6+6enpHD16lFq1agGFv75Q+OtzKQ0bNuTbb78t+NzT07Pgni1atCgI+efv6XQ62b17d0HQb968eaFx+Zs3byYuLg4/P79C98nKymLfvn307NmTQYMG0atXL3r06EH37t256667CA0NvZoviYiIiIhIqcpzmnyz6RhvLdnLoVOZAFTzded0hoOLJSDTNBmgyfjkcgzDKFL3+fMGdqjN1F8PXHSficl9HWpf1fWKol69ehiGwc6dO+nbt+8F+3fu3ElgYGChZQrd3d0LHWMYBk6ns8j3vNj5599oOD92/IMPPqBDhw6FjrPbi/bmhd1uZ9GiRaxcuZKFCxfyzjvv8I9//IM1a9YUawWBzz//nL/97W+88cYbxMbG4ufnx2uvvcaaNWuu+lpFUZyvr4eHB/Xq1Sv2Pf/4RgDk/zu0adOmYDjFH51vC9OmTeOJJ55g/vz5zJ49m3/+858sWrSIjh07FrsOEREREZGS4HSa/LjtOBMX7WHfyfy5uqr7evDo9XW5r2Ntvtscz6j/mQTdNE1e7R9TYSfiAwX9cik6yJdX+8eUaYOrXr06PXr04L333mPEiBGFxuknJCQwc+ZM7r///kJPoUtTzZo1CQsLY//+/QwcOLDY1zEMg86dO9O5c2fGjh1L7dq1mTt3LiNHjiQsLIzffvuNbt26FRz/22+/0b59+4te67fffqNTp04FwxUA9u3bV+gYDw8P8vLyLltT48aN+frrrwv1nvjtt9/w8/MjIiKiOC/ziho3bsz06dPJyMgoCPO//fYbNpvtskMtWrduzezZswkODsbf3/+Sx7Vq1YpWrVoxZswYYmNjmTVrFh07dizS10NEREREpKSZpsnCHYlMXLSHXQlnAKjq7c4j3erwQGwUvp75UfjOtpG0i6rG7D8saz6gbWSFDvmgoF9uWdHg3n33XTp16kSvXr146aWXCi2vFx4ezr/+9a9Su/fFPP/88zzxxBNUrVqV3r17k52dzbp16zh9+jQjR4684vlr1qxhyZIl9OzZk+DgYNasWcPJkycLxpA//fTTjBs3jrp169KyZUumTZvGpk2bLvr0GvLHyX/88ccsWLCA6OhoPvnkE37//Xeio6MLjomKimLBggXs3r2b6tWrX3SYwWOPPcabb77JE088wQMPPMCxY8cYN24cI0eOLBifX9IGDhzIuHHjeOCBB3juuec4efIkjz/+OH/5y18Kuu1f6rzXXnuNO+64o2CFgkOHDjFnzhyeeeYZHA4HU6ZM4fbbbycsLIzdu3ezd+9e7r///oKvx4EDB9i0aRMRERH4+fkVDCcQERERESlppmmybPdJJizaw9ZjqQD4ebrxUNdoHuwSjb+X+wXnRAX5Mqp3o7IutVQp6JdjZd3g6tevz7p16xg3bhx33XUXycnJhISE0KdPH8aNG1fs9diLa8iQIfj4+PDaa6/x9NNP4+vrS/PmzXnqqaeKdL6/vz8rVqzgzTffJC0tjdq1a/PGG29w8803A/DEE0+QmprKX//6V06cOEGTJk349ttvLzrjPsAjjzzCxo0bGTBgAIZhcM899/DYY4/x008/FRwzdOjQgknq0tPT+fnnn4mKiip0nfDwcH788UeefvppPvzwQ6pVq8ZDDz3EP//5z2J9nYrCx8eHBQsW8OSTT9KuXTt8fHzo378/EyZMuOJ5K1asYNSoUfTr148zZ84QHh7OTTfdhL+/P2fPnmXXrl3MmDGDU6dOERoayrBhw3jkkUcA6N+/P3PmzOGGG24gJSWFadOmMWjQoFJ7nSIiIiLimkzT5Le4U0xYtJsNh1MA8PGwM7hzFEO71iHAx+PyF6hkDPNqZl+TAmlpaVStWpXU1NQLujRnZWVx4MABoqOj8fLysqhCKe+cTidpaWn4+/uX2pP8ikDfL67B4XDw448/csstt1ww/4RIZaP2Lq5E7V3Kg7UHknlj4W7WHEgGwNPNxgOdonjkujpUr1JyvUnLQ3u/XA79Iz3RFxERERERkQpn4+HTTFi0h1/2JgHgYbdxb4daPHZ9XYL9XfsBkoK+iIiIiIiIVBjbjqUycdEeluzKX3razWZwV7tIht9Qj7AA7yuc7RoU9EVERERERKTc251whomL9jB/ewIANgP6t47giZvqE1nNx+LqyhcFfRERERERESm39p1M583Fe/l+SzymCYYBt7cI48mb6lOnRhWryyuXFPRLkeY5FLkyfZ+IiIiIyMUcPpXJW0v2MnfjUZzn/mS8pXkIT3VvQIOaftYWV84p6JeC8zMwZmZm4u2tMSIil5OTkwOA3W63uBIRERERKQ+OpZzl3aV7+XLdUXLPJfzujYMZ0aMBTcOqWlxdxaCgXwrsdjsBAQGcOJE/OYSPjw+GYVhclZQ3TqeTnJwcsrKyXHZ5PafTycmTJ/Hx8cHNTT+ORERERFxZYloWk36O4/O1R8jJcwJwXYMajOzRgJaRAdYWV8HoL+tSEhISAlAQ9kX+l2manD17Fm9vb5d+I8hms1GrVi2X/hqIiIiIuLKk9GwmL9vHJ6sPkZ2bH/Bj61RnZM8GtIuqZnF1FZOCfikxDIPQ0FCCg4NxOBxWlyPlkMPhYMWKFVx33XUFwz1ckYeHh8v2aBARERFxZSmZOby/Yj8zVh4kMycPgDa1A/lrjwZ0qhdkcXUVm4J+KbPb7Rp7LBdlt9vJzc3Fy8vLpYO+iIgU34GkDL5Yd4Sjp88SEejNXW0jiQ7ytbosEZHLSsty8NEvB/jo1wOkZ+cCEBNRlZE9GtCtQQ319CwBCvoiIiIiFdAX644w+ustGIaBaZoYhsH7y/fxav8Y7mwbaXV5IiIXyMjOZfrKg0xZsZ/Us/m9nhuH+jOyRwO6Nw5WwC9BCvoiIiIiFcyBpAxGf70lf7mp88uUnvvvqK+30C6qGlF6si8i5cTZnDw+WX2Qycv3k5yRv+JSveAqjOzRgN5NQ7DZFPBLmoK+iIiISAXzxboj+U++zof8PzCA2euOMKp3o7IvTETkD7IceXy29jDvLdvHyTPZAERV9+Gp7g24rUUYdgX8UqOgLyIiIlLBHD19FvMiIR8gz4TFOxIZ2rUO1Xw9yrgyERHIyXXy5fojvLs0juOpWQCEB3jzZPf69GsVjptdEzGXNgV9ERERkQomItD7kk/0AfaeSKfzK0u5r2MthnatQ7C/VxlXKCKuKDfPyZyNx3h7yV6Onj4LQIi/F8NvrMddbSPxcFPALysK+iIiIiIVzF1tI3l/+b6L7jOA+jWrsCcxnQ9+OcCMVYcY0DaSR7rVISLQp2wLFRGXkOc0+X5LPG8u3suBpAwAgqp4MuyGutzTvhZe7lqFrKwp6IuIiIhUMNFBvjxxU33eXLwXAJtBwez7r/aP4c9tIli+5yTvLI1j/aHTfLL6EJ+tPUy/1uE8en09LcEnIiXC6TSZvz2BiYv2sPdEOgCBPu78X7e63B8bhbeHAr5VFPRFREREKqD0rPy1p+vU8KVpWFUiAr0Z0DayYLb96xsG061BDVbvT+bdn/fyW9wpvlh3lK/WH+W2FmEMu6EeDWr6WfkSRKSCMk2TJTtP8MaiPew8ngaAv5cbD19Xh0Gdo6niqZhpNf0LiIiIiFQweU6TbzbHAzDm5sb0aFLzoscZhkFs3erE1q3O+kOnmfRzHEt3neCbTfF8symeXk1rMvyG+jSPqFqW5YtIBWWaJiv2JjFh0R42H0kBoIqnGw92ieahLtFU9Xa3tkApoKAvIiIiUsH8FpfEyTPZBPq4061BjSKd06Z2IFMHtWPbsVTeWxbHT9sSWLA9kQXbE7m+YQ0ev7EebWpXK+XKRaSiWrXvFG8s3M26Q6cB8Ha380CnKB65rg6BWuGj3FHQFxEREalg5m08BsCtMWFXPYt1s/CqvDewDXsTz/Desn18s+kYy3afZNnuk8TWqc7jN9Yjtm71/Fn9RcTlrT+UzBsL97By3ykAPNxs/KVjbf6vW11q+HlaXJ1cioK+iIiISAWSmZPL/O0JAPRpFV7s69Sv6cfEAS158qb6TF6+j683HGXV/lOs2n+K1rUCGH5jPW5oGKzAL+KiNh9JYcKiPSzfcxIAd7vBPe1rMeyGetTUkp3lnoK+iIiISAWycHsimTl51K7uQ+taAdd8vaggX17pH8PjN9VnyvJ9fPb7ETYcTuHB6etoGubP8Bvq0atpCDabAr+IK9gRn8aERXtYvDMRALvN4M42EQy/sZ6W6KxAFPRFREREKpA557rt92kZXqJP28MDvHn+jmYMu7EeH/1ygE9WH2J7fBqPztxA/eAqDLuhHrfGhOJmv7qhAiJSMexNPMObi/fyw9bjQP6ynX1ahfPkTfWpXV1LclY0CvoiIiIiFcSJM1n8uje/G23fa+i2fznBfl6MuaUx/9etLtN+O8C0lQfZeyKdp2ZvYuLiPTx2fV36toq46rkBRKR8OpCUwVuL9/DN5nhMEwwjf/6PJ2+qT73gKlaXJ8WkoC8iIiJSQXy7KR6nCa1qBRAVVLpP2AJ9PRjZsyFDrqvDJ6sO8dGvBzh0KpNRX2/lrcV7eaRbXQa0i8TL3V6qdYhI6TiSnMnbS/YyZ+Mx8pwmAL2a1mREjwY0CvG3uDq5Vgr6IiIiIhXEvE353fb7ldLT/Ivx93Jn2A31GNw5illrDjNlxX7iU7MY9+123lkax8PXRTOwQ218PfVnpUhFcDz1LO8ujeOLdUdw5OUH/BsbBTOyRwOahVe1uDopKZb3uZo0aRJRUVF4eXnRoUMH1q5de9njU1JSGDZsGKGhoXh6etKgQQN+/PHHgv3jx4+nXbt2+Pn5ERwcTJ8+fdi9e3eha1x//fUYhlHo4//+7/9K5fWJiIiIlIS9iWfYdiwNN5vBn2LCyvz+Ph5uDOlahxXP3MCLfZoRHuBNUno2L/+4i86vLuWdJXtJPeso87pEpGhOnMniuW+30+21ZcxccxhHnkmXekHMeawTUwe1U8ivZCx963X27NmMHDmSyZMn06FDB95880169erF7t27CQ4OvuD4nJwcevToQXBwMF999RXh4eEcOnSIgICAgmOWL1/OsGHDaNeuHbm5ufz973+nZ8+e7NixA1/f/3ZxGzp0KC+88ELB5z4+mkFSREREyq+55ybhu75hMNV8PSyrw8vdzl861ubudpHM3XiM936O4+CpTN5YtIcpK/Zzf6faPNg5mupVtL62SHmQnJHD+8v3MWPVQbIcTgDaR1fjrz0a0KFOdYurk9JiadCfMGECQ4cOZfDgwQBMnjyZH374galTpzJ69OgLjp86dSrJycmsXLkSd3d3AKKiogodM3/+/EKfT58+neDgYNavX891111XsN3Hx4eQkJASfkUiIiIiJc/pNPlmUzxQepPwXS13u4272kbSv3UE32+JZ9LPcexJTGfSz/uY+utBBnaoxcPX1SFY622LWCI108EHv+xn2m8HyMjJA/Ln9/hrj4Z0rle9RFftkPLHsqCfk5PD+vXrGTNmTME2m81G9+7dWbVq1UXP+fbbb4mNjWXYsGF888031KhRg3vvvZdRo0Zht198IpjU1FQAqlWrVmj7zJkz+fTTTwkJCeG2227j2WefvexT/ezsbLKzsws+T0tLA8DhcOBwqJuaXL3z7UbtR1yB2ru4ktJo72sOJHMs5Sx+Xm50qxdY7r6XbmkaTO/GNViy6yTvLd/Ptvg0Pvz1AB+vPsSdrcMZ2jWK8ABvq8uUUqCf7+XPmaxcpq86xLSVhziTlQtA0zA/nryxHtc3CMIwDHJzcy2usmIqD+29qPc2TNM0S7mWi4qPjyc8PJyVK1cSGxtbsP2ZZ55h+fLlrFmz5oJzGjVqxMGDBxk4cCCPPfYYcXFxPPbYYzzxxBOMGzfuguOdTie33347KSkp/PrrrwXbp0yZQu3atQkLC2PLli2MGjWK9u3bM2fOnEvW+9xzz/H8889fsH3WrFnq9i8iIiKl6rN9NlafsBEb7OTuuk6ry7ks04RdKQYLjtk4cCb/iaHNMGkXZNI93Emw8r5IqcjOg18SDJbE28jMzf/eC/U2uTnSSUw1Ez3ArxwyMzO59957SU1Nxd//0qsjVKig36BBA7Kysjhw4EDBE/wJEybw2muvcfz48QuOf/TRR/npp5/49ddfiYiIuGQtS5cu5aabbiIuLo66dete9JiLPdGPjIwkKSnpsl9gkUtxOBwsWrSIHj16FAxFEams1N7FlZR0e8925NHx1eWkZ+fy6YNt6RBd7conlQOmabL24GneW7aflfuTAbAZcEuzEB7tFk2Dmn4WVyglQT/fy97BUxl8tT6eoylniQjw5raYEFbuT+b9FQc4lZEDQJ0gH564sR43N62JzaaEX1LKQ3tPS0sjKCjoikHfsq77QUFB2O12EhMTC21PTEy85Nj50NBQ3N3dC3XTb9y4MQkJCeTk5ODh8d+JaYYPH87333/PihUrLhvyATp06ABw2aDv6emJp+eFk8q4u7vrh5pcE7UhcSVq7+JKSqq9L9yZRHp2LuEB3nSqF1yh/mjv0qAmXRrUZP2h00z6OY6lu07w/dYEvt+aQK+mNRl+Q32aR2im78pAP9/LxhfrjjD66y0YhoFpmpjA+78cKNhfq5oPT95UnztahuFmt3yBtUrLyvZe1Pta9q/v4eFBmzZtWLJkScE2p9PJkiVLCj3h/6POnTsTFxeH0/nfLmt79uwhNDS0IOSbpsnw4cOZO3cuS5cuJTo6+oq1bNq0Cch/I0FERESkPDk/2/4dLcMqVMj/oza1A5k6qB3fP96FW5qHYBiwYHsit737K4OmrWX9oWSrSxQp9w4kZTD66y04TchzmjjN/KEy5/2tZwOW/LUb/dtEKOSLdUEfYOTIkXzwwQfMmDGDnTt38uijj5KRkVEwC//9999faLK+Rx99lOTkZJ588kn27NnDDz/8wMsvv8ywYcMKjhk2bBiffvops2bNws/Pj4SEBBISEjh79iwA+/bt48UXX2T9+vUcPHiQb7/9lvvvv5/rrruOmJiYsv0CiIiIiFxGckYOy3afAMrPbPvXoll4Vd4b2IaFT11H31bh2AxYtvsk/f+zinumrOa3uCQsGlUqUu59se7IJWfKtxsGGTl5uCvgyzmWLq83YMAATp48ydixY0lISKBly5bMnz+fmjVrAnD48GFstv821sjISBYsWMCIESOIiYkhPDycJ598klGjRhUc85///AeA66+/vtC9pk2bxqBBg/Dw8GDx4sW8+eabZGRkEBkZSf/+/fnnP/9Z+i9YRERE5Cr8sCWeXKdJs3B/6leiMe31a/oxcUBLnupen8nL9/HV+qOs2n+KVftP0apWAI/fWI8bGgZr+S+RPzh6+uwl3wgzMTl6+mwZVyTlmaVBH/LH0g8fPvyi+5YtW3bBttjYWFavXn3J613pXeDIyEiWL19+VTWKiIiIWGHOuW77fVtdfr6hiqp2dV/G94vh8RvrM2XFfj5be5iNh1N4cPo6moT68/iN9ejVNKTCDlkQKUkRgd5cKuoYhkFEoJa0kP9S3w4RERGRcuhgUgYbD6dgM+C2FpV7HqGwAG+eu70pv4y6gUeuq4OPh50dx9N4dOYGer65grkbj5KbV76XFRQpbTHhVbnUI03TNBnQNrJM65HyTUFfREREpBw6Pwlf1/o1CPbzsriashHs58WYWxrz26gbeeLGevh5uRF3Ip0Rszdz4xvL+XztYXJyFfjF9eTkOnlryd6Cz+02A5vx3/++2j+GqCBfCyuU8sbyrvsiIiIiUphpmszbdL7bfsWfhO9qBfp6MLJnQ4ZcV4dPVh3io18PcDg5k9FztvL2kr080q0uA9pF4uVuv/LFRCqB95fvY1fCGar5ejD1gbYs2JHI0dNniQj0ZkDbSIV8uYCCvoiIiEg5s+FwCodOZeLjYadn05pWl2MZfy93ht1Qj8Gdo5i15jBTVuwnPjWLcd9u552lcTx8XTQDO9TG11N/0krlFXfiDO8sjQNg3G1NaFkrkJa1Ai2uSso7dd0XERERKWfmbjwKQO+mIfh4KMT6eLgxpGsdVjxzAy/2aUZ4gDdJ6dm8/OMuOr+6lHeW7CX1rMPqMkVKXJ7T5JmvtpCT5+TGRsHc3iLM6pKkglDQFxERESlHcnKdfL/lOAB9W7tet/3L8XK385eOtVn29PX8+88xRFX3ISXTwRuL9tDllaW8tmAXp9KzrS5TpMR8suogGw6nUMXTjZf6NNOSk1JkCvoiIiIi5ciy3SdIyXQQ7OdJp7pBVpdTLrnbbdzVNpIlf72et+5uScOafpzJzmXSz/vo8urPvPT9DhLTsqwuU+SaHD2dyb8X7AZg1M2NCAvQ8nlSdAr6IiIiIuXI+Un47mgZhl3rx1+W3WZwR8twfnqyK+//pQ3Nw6ty1pHHh78eoOu/f+af87Zy9HSm1WWKXDXTNPn73G1k5uTRPqoaA9vXsrokqWAU9EVERETKidSzDhbvPAFAHxecbb+4bDaDXk1D+HZ4Z6YPbkfb2oHk5Dr5dPVhrn9tGU9/uZkDSRlWlylSZHM2HGPFnpN4uNl4pX9zbHrTT66SZncRERERKSd+2nqcnFwnDWv60STU3+pyKhzDMLi+YTDdGtRgzYFk3l0ax69xSXy5/ihfbzjKrTFhDLuhHg1D/KwuVeSSTp7J5sUfdgDwVPf61KlRxeKKpCJS0BcREREpJ+ZszO+236dVuCbdugaGYdCxTnU61qnOhsOnmbQ0jiW7TvDt5ni+3RxPr6Y1GX5DfZpHVLW6VJELPPfddlIyHTQN82do1zpWlyMVlLrui4iIiJQDR09nsvZAMoaRPz5fSkbrWoF8NKgd3z/ehVuah2AYsGB7Ire9+ysPTF3LuoPJVpcoUmDh9gR+2HIcu83g1f4xuNsV16R49ERfREREpBz4ZlM8AB2jq2t27VLQLLwq7w1sw97EM7y3bB/fbDrG8j0nWb7nJB3rVOPxG+vTqW51Dp7K5It1Rzh6+iwRgd7c1TaS6CBfq8sXF5B61sGz32wD4OHr6tAsXD1OpPgU9EVEREQsZpomczYcBaBva03CV5rq1/Rj4oCWPNW9PpOX7+Or9UdZvT+Z1fvXUKuaN0dOn8VmGJimiWEYvL98H6/2j+HOtpFWly6V3Cs/7SQxLZs6Qb48eVN9q8uRCk59QUREREQstu1YGvtOZuDpZuPmZiFWl+MSalf3ZXy/GJY/fQODOkXhbjc4nHwW04Q8p4nzD/8d9fUWDmrWfilFK/cl8dnaIwCM79ccL3e7xRVJRaegLyIiImKxuecm4evRpCZ+Xu4WV+NawgK8ee72ptzboRaXmv7QMAxmrztSpnWJ6zibk8eYOVsBuK9jLTrUqW5xRVIZKOiLiIiIWCg3z8m3m/PH5/dtpW77VknOcHCphQ5M0+To6bNlW5C4jImL93DoVCahVb0Y1buR1eVIJaGgLyIiImKhX+OSSErPppqvB9c1qGF1OS4rItD7kksaGhhEBGqCRCl5W46m8OEv+wH4V99m6tEjJUZBX0RERMRC57vt3xYTqqW0LHRX20hM07zoPqdpMkCT8UkJc+Q5eearLTjN/CU1b2xU0+qSpBLRbxMRERERi6Rn57JgewIAfVtHWFyNa4sO8uXV/jHYDLDbDGwGBV35bTaDzJw8awuUSuf95fvYlXCGQB93xt7axOpypJLR8noiIiIiFlmwLYEsh5PoIF9aRGjNbKvd2TaSdlHVmL3uCEdPnyU8wItNR1JYvT+ZYbM28N3jXajiqT+f5drFnTjD20viAHju9qZUr+JpcUVS2egnlYiIiIhF5m3K77bft1X4JceHS9mKCvItNCHa6Ywcbnn7Fw4kZfD3OVt56+6W+reSa+J0moz6eis5eU5uaFiD21uEWV2SVELqui8iIiJigcS0LH6LSwKgT0vNtl9eBfp68O69rbDbDL7dHF+w1rlIcX2y+hDrD53G18POv/o21xtHUioU9EVEREQs8O2meJwmtK0dSK3qPlaXI5fRpnY1nunVEIDnvtvOjvg0iyuSiuro6Uxenb8LgNG3NCYsQKs5SOlQ0BcRERGxwJxzs+33ba2n+RXB0K51uLFRMDm5TobN2kB6dq7VJUkFY5om/5i7jcycPNpHVWNg+1pWlySVmIK+iIiISBnblZDGzuNpeNht/Kl5qNXlSBHYbAZv3NmC0KpeBeP1L7Ucn8jFzN14jOV7TuLhZmN8/+bYbOqyL6VHQV9ERESkjM099zT/hkY1CPDxsLgaKSqN15fiSkrP5oXvdwDw5E31qVujisUVSWWnoC8iIiJShpxOk282xgP5s+1LxaLx+lIcz327nZRMB01C/Xn4ujpWlyMuQEFfREREpAyt3n+KhLQs/L3cuKFRsNXlSDFovL5cjUU7Evl+y3HsNoN//zkGd7simJQ+tTIRERGRMnS+2/6fYsLwdLNbXI0Uh8brS1GlZTn457ytQP4bRM3Cq1pckbgKBX0RERGRMnI2J4+ftiUA0E+z7Vdo58fru2m8vlzG+B93kZiWTXSQL091r291OeJCFPRFREREysjinYmkZ+cSEehNm1qBVpcj16hN7Wo801vj9eXiVu07xWdrDwPwSr/meLmrB4+UHQV9ERERkTJyvtt+31bhWlqrkhjSpQ43aby+/I+zOXmMmbMFgIEdatGhTnWLKxJXo6AvIiIiUgaS0rNZvuckAH00236lYbMZvH5nC8LOjdcfo/H6Ary5eA8HT2USWtWL0Tc3sroccUEK+iIiIiJl4PvN8eQ5TVpEVNUa2pVMoK8H79zbGjebwXeb45l1rru2uKYtR1P44Jf9ALzUpxl+Xu4WVySuSEFfREREpAyc77avp/mVU5vagQXj9Z//bgfb41Mtrkis4Mhz8sxXW3CacHuLMG5qXNPqksRFKeiLiIiIlLJ9J9PZfDQVu83gthZhVpcjpeSP4/WHz9rImSyH1SVJGXt/+T52JZwh0Medcbc1sboccWEK+iIiIiKlbN65p/nX1Q8iqIqnxdVIadF4fdcWdyKdt5fEATDutqZU1/e6WMjyoD9p0iSioqLw8vKiQ4cOrF279rLHp6SkMGzYMEJDQ/H09KRBgwb8+OOPV3XNrKwshg0bRvXq1alSpQr9+/cnMTGxxF+biIiIiGma/51tv3WExdVIafvjeP3vtxzXeH0X4XSajP56Czl5Tm5oWIM7WqrnjljL0qA/e/ZsRo4cybhx49iwYQMtWrSgV69enDhx4qLH5+Tk0KNHDw4ePMhXX33F7t27+eCDDwgPD7+qa44YMYLvvvuOL7/8kuXLlxMfH0+/fv1K/fWKiIiI61l36DRHT5+liqcbPTRe1yVovL7r+XTNIdYdOo2vh52X+jbHMLR8pljL0qA/YcIEhg4dyuDBg2nSpAmTJ0/Gx8eHqVOnXvT4qVOnkpyczLx58+jcuTNRUVF069aNFi1aFPmaqampfPTRR0yYMIEbb7yRNm3aMG3aNFauXMnq1avL5HWLiIiI6zj/NL93sxC8PewWVyNlReP1XcfR05m8+tMuAEbf3IjwAG+LKxIBN6tunJOTw/r16xkzZkzBNpvNRvfu3Vm1atVFz/n222+JjY1l2LBhfPPNN9SoUYN7772XUaNGYbfbi3TN9evX43A46N69e8ExjRo1olatWqxatYqOHTte9N7Z2dlkZ2cXfJ6WlgaAw+HA4dAPbrl659uN2o+4ArV3cSV/bO/ZuU5+2BIPwG3Na+p7wMWM79uEO95L40BSBqO/2sLEuyrfk15X//lumiZ/n7OFjJw82tYO4K7WYS77tXAF5aG9F/XelgX9pKQk8vLyqFmzcBe2mjVrsmvXroues3//fpYuXcrAgQP58ccfiYuL47HHHsPhcDBu3LgiXTMhIQEPDw8CAgIuOCYhIeGS9Y4fP57nn3/+gu0LFy7Ex8enKC9Z5KIWLVpkdQkiZUbtXVzJokWL2HzKIPWsnaoeJsm71vDjbqurkrI2IBLeTrPzw7YEfDOP0blm5Zycz1V/vv9+0mBFnB03w6RnYBLz5/9kdUlSBqxs75mZmUU6zrKgXxxOp5Pg4GCmTJmC3W6nTZs2HDt2jNdee41x48aV6r3HjBnDyJEjCz5PS0sjMjKSnj174u/vX6r3lsrJ4XCwaNEievTogbu7u9XliJQqtXdxJX9s799/uR04wZ3to7m1VwOrSxOLeP56kFcX7GHeYXcG9m5Pk9DK87ejK/98P5Wezbi3VwIOnrypPoO71bG6JCll5aG9n+9ZfiWWBf2goCDsdvsFs90nJiYSEhJy0XNCQ0Nxd3fHbv/v+LbGjRuTkJBATk5Oka4ZEhJCTk4OKSkphZ7qX+6+AJ6ennh6XrhEhru7u8v9UJOSpTYkrkTtXVxJhgOW70kC4M9tI9X2Xdgj3eqx7lAKS3ad4KkvtvLt8M74eVWu9uCKP9//NX8bKWcdNAn15/9uqI+73fIFzaSMWNnei3pfy1qjh4cHbdq0YcmSJQXbnE4nS5YsITY29qLndO7cmbi4OJxOZ8G2PXv2EBoaioeHR5Gu2aZNG9zd3Qsds3v3bg4fPnzJ+4qIiIhcrZ+2J5CT56RRiB+NQirPE1y5ejabwet3tiCsqhcHkjIYM2crplk5u/C7ikU7Evluczx2m8G//xyjkC/ljqUtcuTIkXzwwQfMmDGDnTt38uijj5KRkcHgwYMBuP/++wtNrPfoo4+SnJzMk08+yZ49e/jhhx94+eWXGTZsWJGvWbVqVR566CFGjhzJzz//zPr16xk8eDCxsbGXnIhPRERE5Gp9u/k4AP1ah1/hSHEFgb4evHNva9xsBt9vOc6stYetLkmKKS3LwT/nbQVgSNdomoVXtbgikQtZOkZ/wIABnDx5krFjx5KQkEDLli2ZP39+wWR6hw8fxmb773sRkZGRLFiwgBEjRhATE0N4eDhPPvkko0aNKvI1ASZOnIjNZqN///5kZ2fTq1cv3nvvvbJ74SIiIlKpncqCdYdSMAy4vYWCvuRrUzuQZ3o35OUfd/H8dztoGRlA0zCFxIrmlZ92kZiWTVR1H0Z019wbUj5ZPhnf8OHDGT58+EX3LVu27IJtsbGxV1zv/nLXBPDy8mLSpElMmjTpqmoVERERKYp1SflLqHWuG0RIVS+Lq5HyZEiXOqzZn8ySXScYPmtjpRyvX5mt3n+KWWvye2O80j8GL3f7Fc4QsYYGk4iIiIiUINM0WXcy/0+sPq30NF8K03j9iivLkcfor7cAcG+HWnSsU93iikQuTUFfREREpARtPZbGiSwDL3cbvZtdekUfcV0ar18xTVy8h4OnMgnx92L0zY2sLkfkshT0RURERErQvHOT8HVvFEwVT8tHSUo5dX68PsDz3+1ge3yqxRXJ5Ww9msoHK/YD8FKfZvhruIWUcwr6IiIiIiXEkefkh635Qb9Py1CLq5HybkiXOtzUKJicXCfDZ23kTJbD6pLkIhx5Tp75egtOE25rEUb3JjWvfJKIxRT0RURERErIL3tPkpzhoIq7See6Gr8rl6fx+hXDlBX72Xk8jUAfd8bd1sTqckSKREFfREREpITM3RgPQJvqJm52/ZklV6bx+uVb3Il03lq8F4CxtzUhqIqnxRWJFI1+A4mIiIiUgDNZDhZuTwCgXQ2nxdVIRaLx+uWT02ky+ust5OQ5ub5hDfq01CoaUnEo6IuIiIiUgPnbEsjOdVInyJcIX6urkYpG4/XLn0/XHGLdodP4etj5V9/mGIZhdUkiRaagLyIiIlIC5m48BuRPwqc8IFdL4/XLl2MpZ3n1p10AjLq5EeEB3hZXJHJ1FPRFRERErtHx1LOs2n8KgNtiNNu+FI/G65cPpmnyj7lbycjJo23tQO7rUNvqkkSumoK+iIiIyDX6ZlM8pgnto6sREagnf1J8Gq9vvXmbjrFs90k87DZe6R+DzaYuOlLxKOiLiIiIXKN557rt922lybrk2mm8vnWS0rN54bsdADzZvT71gqtYXJFI8Sjoi4iIiFyDHfFp7Eo4g4fdxi3N1W1frp3G61vn+e92cDrTQeNQfx6+ro7V5YgUm4K+iIiIyDWYtyn/af5NjYOp6u1ucTVSWWi8ftlbvCOR7zbHYzPg3/1jcLcrKknFpdYrIiIiUkx5TpNvNqnbvpQOjdcvO2lZDv45bxsAQ6+rQ/OIqhZXJHJtFPRFREREimnlviQS07IJ8HHn+obBVpcjlZDG65eNV37aRUJaFlHVfRjRvYHV5YhcMwV9ERERkWKae24SvltjQvFw059VUvI0Xr/0rd5/illr8odGjO8Xg5e73eKKRK6dfiOJiIiIFENmTi7ztyUA6rYvpUvj9UtPliOP0V9vAeCe9rWIrVvd4opESoaCvoiIiEgxLNqRSGZOHrWq+dC6VqDV5Uglp/H6pePNxXs5eCqTmv6ejLmlkdXliJQYBX0RERGRYpizIb/bfp9W4RiGYXE14go0Xr9kbT2ayge/7AfgX32a4++lVTOk8lDQFxEREblKJ89k88vek4C67UvZ0Xj9kuPIc/LM11vIc5rcGhNK9yY1rS5JpEQp6IuIiIhcpW83x+M0oWVkANFBvlaXIy5E4/VLxpQV+9l5PI0AH3eeu72p1eWIlDgFfREREZGrNO/cbPv9WutpvpQ9jde/NvtOpvPWkr0AjL21CUFVPC2uSKTkKeiLiIiIXIW4E2fYeiwVN5vBrTFhVpcjLkrj9YvH6TQZ/fUWcnKddGtQQ0NvpNJS0BcRERG5CnPPPc2/vmENqvl6WFyNuCqN1y+emWsO8fvB0/h62PlX32aaSFMqLQV9ERERkSJyOk3mbYwH8mfbF7GSxutfnWMpZ3nlp10APNO7ERGBPhZXJFJ6FPRFREREiuj3g8kcSzmLn6cb3Rtrlm6xnsbrF41pmvxj7lYycvJoWzuQv3SsbXVJIqVKQV9ERESkiM5327+5eQhe7naLqxHJp/H6V/bNpniW7T6Jh93GK/1jsNnUZV8qNwV9ERERkSLIcuTxw9bjAPRtFWFxNSL/pfH6l3cqPZvnv9sOwBM31aNecBWLKxIpfQr6IiIiIkWwdNcJzmTlElbViw7R1awuR6QQjde/tOe/28HpTAeNQvx4pFtdq8sRKRMK+iIiIiJFcL7b/h2twtXtV8oljde/0JKdiXy7OR6bAf/+cwzudsUfcQ1q6SIiIiJXcDojh2W7TwBo3W0p1zRe/7/OZDn4x9xtAAztWoeYiABrCxIpQwr6IiIiIlfw/dbjOPJMmob506Cmn9XliFySxuv/1ys/7SIhLYva1X14qnsDq8sRKVMK+iIiIiJXMHfDUUBP86Vi0Hh9WLP/FDPX5L/u8f2a4+2hVTLEtSjoi4iIiFzGoVMZbDicgs2A21uEWV2OSJG48nj9LEceo+dsBeCe9rXoVDfI4opEyp6CvoiIiMhlnJ+Er0v9GgT7e1lcjUjRuep4/TcX7+VAUgY1/T0Zc0sjq8sRsYSCvoiIiMglmKbJvHNBv28rPc2XisUVx+tvO5bKB7/sB+ClPs3x93K3uCIRa5SLoD9p0iSioqLw8vKiQ4cOrF279pLHTp8+HcMwCn14eRV+d/1/95//eO211wqOiYqKumD/K6+8UmqvUURERCqejUdSOHgqEx8PO72ahlhdjshVc6Xx+o48J898tYU8p8mfYkLp0aSm1SWJWMbyoD979mxGjhzJuHHj2LBhAy1atKBXr16cOHHikuf4+/tz/Pjxgo9Dhw4V2v/HfcePH2fq1KkYhkH//v0LHffCCy8UOu7xxx8vldcoIiIiFdP5p/m9mobg4+FmcTUixdOmdiCjeud3Ya/M4/U/+GU/O46nEeDjznO3NbW6HBFLWR70J0yYwNChQxk8eDBNmjRh8uTJ+Pj4MHXq1EueYxgGISEhBR81axZ+t+6P+0JCQvjmm2+44YYbqFOnTqHj/Pz8Ch3n6+tbKq9RREREKp6cXCffbY4HNNu+VHxDukbTvXHlHa+/72Q6by7eC8DYW5tQw8/T4opErGXpW9M5OTmsX7+eMWPGFGyz2Wx0796dVatWXfK89PR0ateujdPppHXr1rz88ss0bXrxd+0SExP54YcfmDFjxgX7XnnlFV588UVq1arFvffey4gRI3Bzu/iXJDs7m+zs7ILP09LSAHA4HDgclesHpZSN8+1G7Udcgdq7VERLd53gdKaDGlU8aFfLv8jtV+1dyqvxfZqyIz6NA0kZjP5qCxPvao5hGNd0zfLQ3p1Ok1FfbSYn10nXetW5tVmwvv+kVJSH9l7Ue1sa9JOSksjLy7vgiXzNmjXZtWvXRc9p2LAhU6dOJSYmhtTUVF5//XU6derE9u3biYiIuOD4GTNm4OfnR79+/Qptf+KJJ2jdujXVqlVj5cqVjBkzhuPHjzNhwoSL3nf8+PE8//zzF2xfuHAhPj4+RX3JIhdYtGiR1SWIlBm1d6lIpu2xATaa+mWxcMH8qz5f7V3Ko7si4e00Oz9sS8A38xida5bM5HxWtvdfEwzWHbLjYTO50T+Rn376ybJaxDVY2d4zMzOLdJxhWjj1Znx8POHh4axcuZLY2NiC7c888wzLly9nzZo1V7yGw+GgcePG3HPPPbz44osX7G/UqBE9evTgnXfeuex1pk6dyiOPPEJ6ejqenhd29bnYE/3IyEiSkpLw9/e/Yp0i/8vhcLBo0SJ69OiBu7tmhJXKTe1dKpozWQ46vrqcnFwn8x7tSNOwov+uV3uX8u6j3w7yyvw9eLjZ+PLh9jQJLf7fsla39+OpWdz89m9k5OTx7J8acX/HWmVeg7gOq9s75OfQoKAgUlNTL5tDLX2iHxQUhN1uJzExsdD2xMREQkKKNrOtu7s7rVq1Ii4u7oJ9v/zyC7t372b27NlXvE6HDh3Izc3l4MGDNGzY8IL9np6eF30DwN3dXb/E5ZqoDYkrUXuXimLRpuPk5DppULMKLWpVK1b3ZrV3Ka8e6VaPdYdSWLzzBE99sZVvh3fG7xqXobOivZumyXPf7yIjJ482tQMZ1LkOdtu1DUUQKQorf74X9b6WTsbn4eFBmzZtWLJkScE2p9PJkiVLCj3hv5y8vDy2bt1KaGjoBfs++ugj2rRpQ4sWLa54nU2bNmGz2QgODi76CxAREZFKae652fb7tAq/5jHMIuWNYRi8fmcLwgO8OZCUwZg5W7Gwk2+xfbs5nqW7TuBht/Fq/+YK+SJ/YPms+yNHjuSDDz5gxowZ7Ny5k0cffZSMjAwGDx4MwP33319osr4XXniBhQsXsn//fjZs2MB9993HoUOHGDJkSKHrpqWl8eWXX16wHWDVqlW8+eabbN68mf379zNz5kxGjBjBfffdR2BgYOm+YBERESnXjqWcZfX+ZAD6tNRs+1I5Bfh48PY9rXCzGXy/5Tiz1h62uqSrcio9m+e+3Q7A4zfWo16wn8UViZQvli8IO2DAAE6ePMnYsWNJSEigZcuWzJ8/v2CCvsOHD2Oz/ff9iNOnTzN06FASEhIIDAykTZs2rFy5kiZNmhS67ueff45pmtxzzz0X3NPT05PPP/+c5557juzsbKKjoxkxYgQjR44s3RcrIiIi5d68c0/zO9apRliAt8XViJSeNrUDGdW7Ef/6cSfPf7eDlpEBNA2ranVZRfLC9zs4nemgUYgfj3Sra3U5IuWO5UEfYPjw4QwfPvyi+5YtW1bo84kTJzJx4sQrXvPhhx/m4Ycfvui+1q1bs3r16quuU0RERCo30zQLuu33a3Xhaj4ilc2QrtGsOXCKxTtPMHzWxhIZr1/alu5K5JtN8dgM+PefY/Bws7yTski5o+8KERERkXO2x6cRdyIdTzcbvZsXbWJgkYqsoo3XP5Pl4B9ztwEwpGsdYiICrC1IpJxS0BcRERE55/zT/O5NauJfzp9qipSUijRe/9X5uziemkXt6j6M6N7A6nJEyi0FfREREREgN8/JN5viAeirSfjExZwfrw/w/Hc72B6fanFFF1qz/xSfrs5/E2J8v+Z4e9gtrkik/FLQFxEREQF+23eKpPRsAn3c6dawhtXliJS5IV2j6d44mJxcJ8NnbeRMlsPqkgpkOfIYPWcrAPe0j6RT3SCLKxIp3xT0RURERIC5G44CcFuLMNzt+hNJXE95Hq//1pK9HEjKINjPk9E3N7a6HJFyT7/FRERExOVlZOeyYHsiAH1bqdu+uK7yOF5/27FUpqzYD8BLfZpR1VvzZ4hciYK+iIiIuLwF2xM468gjOsiXlpEBVpcjYqnyNF7fkefkma+2kOc0+VNMKD2bajUMkaJQ0BcRERGXd362/T4twzEMw+JqRKxXXsbrf/DLfnYcT6OqtzvP3dbUkhpEKiIFfREREXFpJ9Ky+C0uCYA+rcIsrkakfCgP4/X3n0znzcV7ARh7axNq+HmW6f1FKjIFfREREXFp326Ox2nmd1euXd3X6nJEyg0rx+s7nSajv95KTq6TrvWD6Ndac2eIXA0FfREREXFpczac67avSfhELvC/4/W3HSub8foz1x5m7cFkfDzsvNy3uYbUiFwlBX0RERFxWbsTzrDjeBrudoNbm4daXY5IuVR4vP6GUh+vH59ylld/2gXAM70aElnNp1TvJ1IZKeiLiIiIyzo/Cd/1DYMJ9PWwuBqR8umP4/UPnsos1fH6pmnyz3nbSM/OpXWtAP4SG1Uq9xGp7BT0RURExCU5nSbfbMoP+v3UbV/ksv53vP7MNaUzXv/bzfEs3XUCD7uNV/vHYLepy75IcSjoi4iIiEtafeAUx1Oz8PNy44ZGwVaXI1Lu/XG8/gvfl/x4/VPp2Tz/3Q4Aht9Yj/o1/Ur0+iKuREFfREREXNK8c932b40JxcvdbnE1IhXDheP1c0vs2i98v4PkjBwahfjxf93qlth1RVyRgr6IiIi4nCxHHj9tTQCgT0t12xcpqv8dr//sNzsoieH6S3cl8s2meGwGvNo/Bg83xRSRa6HvIBEREXE5i3cmciY7l/AAb9pFVbO6HJEK5Y/j9X/YlsBvidc2jv5MloN/zN0GwENdomkRGVACVYq4NgV9ERERcTlzN+R32+/bKhybJvsSuWp/HK8/96CN7fFpxb7Wv+fv5nhqFrWq+TCyR8OSKlHEpSnoi4iIiEs5lZ7N8j0nAeij2fZFim1I12hubFiDXNPgydlbOJPluOprrD2QzCerDwHwSr/meHtovgyRkqCgLyIiIi7l+y3HyXWaxERUpV5wFavLEamwDMPg1X7NCPQwOZScyZg5WzGvYsB+liOP0V9vAeDudpF0qhdUWqWKuBwFfREREXEpc8/Ntq9J+ESuXYCPOw80yMPNZvD9luPMXHO4yOe+vWQv+5MyCPbzZMwtjUuxShHXU6ygn5qaSnJy8gXbk5OTSUsr/vgcERERkdK0/2Q6m46kYLcZ3NYizOpyRCqFaD/4W8/6QP4SeduOpV7xnG3HUnl/xX4AXuzTjKre7qVao4irKVbQv/vuu/n8888v2P7FF19w9913X3NRIiIiIqVh3qZ4ALrWD6KGn6fF1YhUHg92qk33xsHk5DoZPmvDZcfr5+Y5GfX1FvKcJn9qHkqvpiFlWKmIayhW0F+zZg033HDDBduvv/561qxZc81FiYiIiJQ00zSZt/G/s+2LSMkxDIPX72xBeIA3B09dfrz+B78cYHt8GlW93Xnu9qZlXKmIayhW0M/OziY3N/eC7Q6Hg7Nnz15zUSIiIiIlbcPh0xxOzsTXw07PJnqCKFLSAnw8ePueVpcdr7//ZDoTF+8B4Nlbm6hnjUgpKVbQb9++PVOmTLlg++TJk2nTps01FyUiIiJS0uZsyH+a37tZqJbwEiklbWoHMqp3I+DC8fpOp8noOVvJyXXStX4Q/VurZ41IaXErzkkvvfQS3bt3Z/Pmzdx0000ALFmyhN9//52FCxeWaIEiIiIi1yon18n3W44D6rYvUtqGdI1mzYFTLN55gkc+WUfvZqGcOJNNamYOaw8k4+Nh5+W+zTEMw+pSRSqtYj3R79y5M6tWrSIyMpIvvviC7777jnr16rFlyxa6du1a0jWKiIiIXJOfd58g9ayDmv6exNatbnU5IpXa+fH6Ad7uHEvJYuqvB/hhSzwr9iYB0KNJTSKr+VhcpUjlVqwn+gAtW7Zk5syZJVmLiIiISKmYe67b/h0tw7Hb9BRRpLSdznSQem7mfRP447x8322OZ0T3BkQF+VpTnIgLKFbQP3z4wok1/qhWrVrFKkZERESkpKVmOli66wSgbvsiZeWLdUewGQZ5F5l53zAMZq87UjCWX0RKXrGCflRU1GXH1OTl5RW7IBEREZGS9MPW4+TkOWkU4kfjUH+ryxFxCUdPn73k8nqmaXL0tFbqEilNxQr6GzduLPS5w+Fg48aNTJgwgX/9618lUpiIiIhISZi3Mb/bvp7mi5SdiEDv/AeDl3iiHxHobUFVIq6jWEG/RYsWF2xr27YtYWFhvPbaa/Tr1++aCxMRERG5VkeSM1l7MBnDgNtbhlldjojLuKttJO8v33fRfaZpMqBtZBlXJOJaijXr/qU0bNiQ33//vSQvKSIiIlJs32zKf5rfqW51QqvqCaJIWYkO8uXV/jHYDLDbjEL/fbV/jCbiEyllxXqin5aWVuhz0zQ5fvw4zz33HPXr1y+RwkRERESuhWmazDnXbb9PS3XbFylrd7aNpF1UNWavO8LR02eJCPRmQNtIhXyRMlCsoB8QEHDBZHymaRIZGcnnn39eIoWJiIiIXIutx1LZfzIDL3cbvZuFWF2OiEuKCvLV7PoiFihW0P/5558LfW6z2ahRowb16tXDza1YlxQREREpUXM25D/N79EkBD8vd4urERERKTvFGqPfrVs3unXrRo0aNTh79iynT59mz549/Pjjj3z77bdXfb1JkyYRFRWFl5cXHTp0YO3atZc8dvr06RiGUejDy8ur0DGDBg264JjevXsXOiY5OZmBAwfi7+9PQEAADz30EOnp6Vddu4iIiJQ/jjwn322OB6CfZtsXEREXU6zH7/v376dfv35s2bIFwzAK1sg8350/Ly+vyNeaPXs2I0eOZPLkyXTo0IE333yTXr16sXv3boKDgy96jr+/P7t37y74/H+HEQD07t2badOmFXzu6elZaP/AgQM5fvw4ixYtwuFwMHjwYB5++GFmzZpV5NpFRESkfPp1bxKnMnKo7utBl/pBVpcjIiJSpor1RP/JJ58kKiqKEydO4OPjw7Zt21ixYgVt27Zl2bJlV3WtCRMmMHToUAYPHkyTJk2YPHkyPj4+TJ069ZLnGIZBSEhIwUfNmjUvOMbT07PQMYGBgQX7du7cyfz58/nwww/p0KEDXbp04Z133uHzzz8nPj7+quoXERGR8mfuuUn4bmsRhru9RBcZEhERKfeK9UR/1apVLF26lKCgIGw2G3a7nS5dujB+/HieeOIJNm7cWKTr5OTksH79esaMGVOwzWaz0b17d1atWnXJ89LT06lduzZOp5PWrVvz8ssv07Rp00LHLFu2jODgYAIDA7nxxht56aWXqF69ekH9AQEBtG3btuD47t27Y7PZWLNmDX379r3gntnZ2WRnZxd8fn7lAYfDgcPhKNLrFfmj8+1G7Udcgdq7lKX07FwW7kgA4LbmNcu83am9iytRexdXUh7ae1HvXaygn5eXh5+fHwBBQUHEx8fTsGFDateuXahL/ZUkJSWRl5d3wRP5mjVrsmvXroue07BhQ6ZOnUpMTAypqam8/vrrdOrUie3btxMREQHkd9vv168f0dHR7Nu3j7///e/cfPPNrFq1CrvdTkJCwgXDAtzc3KhWrRoJCQkXve/48eN5/vnnL9i+cOFCfHx8ivyaRf7XokWLrC5BpMyovUtZWHvCIMthJ9jL5Mjm3zi6xZo61N7Flai9iyuxsr1nZmYW6bhiBf1mzZqxefNmoqOj6dChA//+97/x8PBgypQp1KlTpziXLLLY2FhiY2MLPu/UqRONGzfm/fff58UXXwTg7rvvLtjfvHlzYmJiqFu3LsuWLeOmm24q1n3HjBnDyJEjCz5PS0sjMjKSnj174u/vX8xXI67M4XCwaNEievTogbu7ZoOWyk3tXcrS7GnrgGTu7VyfP11fun+XXIzau7gStXdxJeWhvZ/vWX4lxQr6//znP8nIyADghRde4NZbb6Vr165Ur16d2bNnF/k6QUFB2O12EhMTC21PTEwkJKRo6926u7vTqlUr4uLiLnlMnTp1CAoKIi4ujptuuomQkBBOnDhR6Jjc3FySk5MveV9PT88LJvQ7f3/9UJNroTYkrkTtXUpbQmoWqw4kA9C/TaSl7U3tXVyJ2ru4Eivbe1HvW6zZaXr16kW/fv0AqFevHrt27SIpKYkTJ05w4403Fvk6Hh4etGnThiVLlhRsczqdLFmypNBT+8vJy8tj69athIaGXvKYo0ePcurUqYJjYmNjSUlJYf369QXHLF26FKfTSYcOHYpcv4iIiJQv32w6hmlCu6hAIqtpaJ2IiLimEpuGtlq1ahdd5u5KRo4cyQcffMCMGTPYuXMnjz76KBkZGQwePBiA+++/v9BkfS+88AILFy5k//79bNiwgfvuu49Dhw4xZMgQIH+ivqeffprVq1dz8OBBlixZwh133EG9evXo1asXAI0bN6Z3794MHTqUtWvX8ttvvzF8+HDuvvtuwsLCSuCrISIiIlY4P9t+31YRFlciIiJinWJ13S9JAwYM4OTJk4wdO5aEhARatmzJ/PnzCyboO3z4MDbbf9+POH36NEOHDiUhIYHAwEDatGnDypUradKkCQB2u50tW7YwY8YMUlJSCAsLo2fPnrz44ouFut7PnDmT4cOHc9NNN2Gz2ejfvz9vv/122b54ERERKTE7j6exK+EMHnYbf2p+6Z5+IiIilZ3lQR9g+PDhDB8+/KL7li1bVujziRMnMnHixEtey9vbmwULFlzxntWqVWPWrFlXVaeIiIiUX/POPc2/sVEwVX00VlhERFxXiXXdFxEREbFKntNk3qZz3fZbh1tcjYiIiLUU9EVERKTCW73/FIlp2VT1duf6hjWsLkdERMRSCvoiIiJS4c3ZkP80/9aYUDzd7BZXIyIiYi0FfREREanQzubkMX/bcQD6tlK3fREREQV9ERERqdAW7kggIyePyGretKkdaHU5IiIillPQFxERkQrt/Gz7fVuGYxiGxdWIiIhYT0FfREREKqyTZ7JZsTcJgD7qti8iIgIo6IuIiEgF9v2WePKcJi0iA6hTo4rV5YiIiJQLCvoiIiJSYc09122/n57mi4iIFFDQFxERkQop7kQ6W46m4mYzuDUm1OpyREREyg0FfREREamQzk/C161BDapX8bS4GhERkfJDQV9EREQqHKfTLOi2r0n4REREClPQFxERkQpn3aHTHEs5SxVPN3o0qWl1OSIiIuWKgr6IiIhUOHM3HgXg5mYheLnbLa5GRESkfFHQFxERkQoly5HH91uOA9C3tbrti4iI/C8FfREREalQft51gjNZuYRW9aJjdHWryxERESl3FPRFRESkQjk/Cd8dLcOx2QyLqxERESl/FPRFRESkwjidkcPPu08A0Fez7YuIiFyUgr6IiIhUGD9sPY4jz6RJqD8NQ/ysLkdERKRcUtAXERGRCuN8t309zRcREbk0BX0RERGpEA6fymT9odPYDLi9ZZjV5YiIiJRbCvoiIiJSIZx/mt+5XhA1/b0srkZERKT8UtAXERGRcs80TeZtUrd9ERGRolDQFxERkXJv05EUDiRl4O1up1fTEKvLERERKdcU9EVERKTcm3eu236vpjXx9XSzuBoREZHyTUFfREREyjVHnpPvthwHoI+67YuIiFyRgr6IiIiUayv2nCQ5I4egKp50qRdkdTkiIiLlnoK+iIiIlGtzznXbv71FGG52/ekiIiJyJfptKSIiIuVWWpaDxTsSAejXWt32RUREikJBX0RERMqt+VsTyM51Uj+4Ck3D/K0uR0REpEJQ0BcREZFya+65bvt9WoVjGIbF1YiIiFQMCvoiIiJSLsWnnGX1gVOAZtsXERG5Ggr6IiIiUi59syke04QO0dUID/C2uhwREZEKQ0FfREREyh3TNJm78SigSfhERESuloK+iIiIlDs7jqexJzEdDzcbvZuFWl2OiIhIhaKgLyIiIuXO3A35k/D1aFyTqt7uFlcjIiJSsSjoi4iISLmS5zT5ZnM8oEn4REREikNBX0RERMqV3+KSOHkmm0Afd7o1qGF1OSIiIhVOuQj6kyZNIioqCi8vLzp06MDatWsveez06dMxDKPQh5eXV8F+h8PBqFGjaN68Ob6+voSFhXH//fcTHx9f6DpRUVEXXOeVV14ptdcoIiIiRTNvY363/VtjwvBwKxd/qoiIiFQolv/2nD17NiNHjmTcuHFs2LCBFi1a0KtXL06cOHHJc/z9/Tl+/HjBx6FDhwr2ZWZmsmHDBp599lk2bNjAnDlz2L17N7fffvsF13nhhRcKXefxxx8vldcoIiIiRZOZk8v87QkA9NVs+yIiIsXiZnUBEyZMYOjQoQwePBiAyZMn88MPPzB16lRGjx590XMMwyAkJOSi+6pWrcqiRYsKbXv33Xdp3749hw8fplatWgXb/fz8LnkdERERKXsLtyeSmZNHVHUfWkUGWF2OiIhIhWRp0M/JyWH9+vWMGTOmYJvNZqN79+6sWrXqkuelp6dTu3ZtnE4nrVu35uWXX6Zp06aXPD41NRXDMAgICCi0/ZVXXuHFF1+kVq1a3HvvvYwYMQI3t4t/SbKzs8nOzi74PC0tDcgfKuBwOIryckUKOd9u1H7EFai9S1F9vf4IALfHhJKbm2txNcWj9i6uRO1dXEl5aO9FvbelQT8pKYm8vDxq1qxZaHvNmjXZtWvXRc9p2LAhU6dOJSYmhtTUVF5//XU6derE9u3biYiIuOD4rKwsRo0axT333IO/v3/B9ieeeILWrVtTrVo1Vq5cyZgxYzh+/DgTJky46H3Hjx/P888/f8H2hQsX4uPjczUvW6SQ/+2BIlKZqb3L5aTmwK9xdsDA//Rufvxxt9UlXRO1d3Elau/iSqxs75mZmUU6zjBN0yzlWi4pPj6e8PBwVq5cSWxsbMH2Z555huXLl7NmzZorXsPhcNC4cWPuueceXnzxxQv29e/fn6NHj7Js2bJCQf9/TZ06lUceeYT09HQ8PT0v2H+xJ/qRkZEkJSVd9roil+JwOFi0aBE9evTA3V1rREvlpvYuRTFt5SFe/mk3rSKr8sXDHawup9jU3sWVqL2LKykP7T0tLY2goCBSU1Mvm0MtfaIfFBSE3W4nMTGx0PbExMQij513d3enVatWxMXFFdrucDi46667OHToEEuXLr1iGO/QoQO5ubkcPHiQhg0bXrDf09Pzom8AuLu764eaXBO1IXElau9yOd9sPg5Av9YRlaKdqL2LK1F7F1diZXsv6n0tnXXfw8ODNm3asGTJkoJtTqeTJUuWFHrCfzl5eXls3bqV0NDQgm3nQ/7evXtZvHgx1atXv+J1Nm3ahM1mIzg4+OpfiIiIiFyTPYln2B6fhpvN4NaYMKvLERERqdAsn3V/5MiRPPDAA7Rt25b27dvz5ptvkpGRUTAL//333094eDjjx48H8pfE69ixI/Xq1SMlJYXXXnuNQ4cOMWTIECA/5P/5z39mw4YNfP/99+Tl5ZGQkL9MT7Vq1fDw8GDVqlWsWbOGG264AT8/P1atWsWIESO47777CAwMtOYLISIi4sLmbjwGwPUNgwn09bC4GhERkYrN8qA/YMAATp48ydixY0lISKBly5bMnz+/YIK+w4cPY7P9t+PB6dOnGTp0KAkJCQQGBtKmTRtWrlxJkyZNADh27BjffvstAC1btix0r59//pnrr78eT09PPv/8c5577jmys7OJjo5mxIgRjBw5smxetIiIiBRwOk2+ORf0+7UOt7gaERGRis/yoA8wfPhwhg8fftF9y5YtK/T5xIkTmThx4iWvFRUVxZXmF2zdujWrV6++6jpFRESk5K05kEx8ahZ+Xm7c2EhD6ERERK6VpWP0RUREROade5r/p+aheLnbLa5GRESk4lPQFxEREctkOfL4cWv+bPt9WqnbvoiISElQ0BcRERHLLNl5gjPZuYQHeNM+qprV5YiIiFQKCvoiIiJimbkbjwJwR8swbDbD4mpEREQqBwV9ERERsURyRg7Ldp8EoK+67YuIiJSYcjHrvpSOA0kZfLHuCEdPnyUi0Ju72kYSHeRrdVkiIiIAfL8lnlynSbNwf+rX9LO6HBERkUpDQb+S+mLdEUZ/vQXDMDBNE8MweH/5Pl7tH8OdbSOtLk9ERIS552bb79sqwuJKREREKhd13a+EDiRlMPrrLThNyHOahf476ustHEzKsLpEERFxcQeSMth4OAWbAbe1CLW6HBERkUpFQb8S+mLdEQzj4hMaGYbB7HVHyrgiERGRwuade5rftX4Ngv28LK5GRESkclHQr4SOnj6LaZoX3WeaJkdPny3jikRERP7LNE3mbcoP+v1aaxI+ERGRkqYx+pVQRKB3/hP9i4R9A4OIQG8LqhIREcnvsv/2kr0cOpWJm82gfs0qVpckIiJS6eiJfiV0V9vISz7RzzNNbovRWEgRESl7X6w7wk1vLCvotp/nNLn17V/5UkPKRERESpSCfiUUHeTLq/1jsBlgtxnYDLD9Ycj+uG+3k56da12BIiLicv44Uez5t6JN0ESxIiIipUBBv5K6s20kS/96PQ9fV4c/xYTxSLe6/Gdga/y83Pj94GkGTV3LmSyH1WWKiIiL0ESxIiIiZUdj9CuxqCBfRvVuVGhbeKA39324hnWHTvPA1LVMf7A9/l7uFlUoIiKu4ujpszidmihWRESkLOiJvouJiQhg1tCOVPV2Z8PhFO7/aC1perIvIiKlLMuRx8Vjfv4TfU0UKyIiUnIU9F1Qs/CqzBzSgQAfdzYdSeEvH64h9azCvoiIlI41+0+xbNeJS+43TZMBbSPLsCIREZHKTUHfRTULr8qsIR0J9HFn89FU/vLRGlIzFfZFRKRk7U08w9CP1+FwmjQL8y80Uez5/77aP4aoIF+rSxUREak0NEbfhTUJ82fW0I4M/HANW46mMvCj1Xz6UAcCfDysLk1ERCqBxLQsBk37nbSsXFrXyh86lpCaxex1Rzh6+iwRgd4MaBupkC8iIlLCFPRdXONQfz4b2pF7P1jNtmNp3PvBGmYO6UCgr8K+iIgU35ksB4Om/c6xlLPUCfLlowfa4eVuv+hEsSIiIlKy1HVfaBjix2cPdySoigc7jqdx74drSM7IsbosESmGA0kZvDp/F49/tpFX5+/igNYmFws48pw8NnMDO4+nEVTFgxkPttcbyCIiImVIQV8AaFDTj88f7kgNP092Hk/j3g9Wcyo92+qyROQqfLHuCDe9sYwpK/bzw5Z4pqzYz01vLONLrU8uZcg0TUZ9vYVf9ibh42Fn6qB2RFbzsbosERERl6KgLwXqBeeH/WA/T3YlnOGeD1aTpLAvUiEcSMpg9NdbcJqQ5zQL/XfU11s4qCf7UkYmLNrDnA3HsNsMJt3bmpiIAKtLEhERcTkK+lJI3RpV+PzhjtT092RPYjr3TFnNyTMK+yLl3RfrjmBgXHSfYRjM1lN9KQOz1hzmnaVxALzctxk3NAq2uCIRERHXpKAvF6hTowqfPxxLiL8Xe0+kc/eUVZxIy7K6LBG5hDynycq4JPJM86L7TdPk6OmzZVyVuJolOxP557ytADx5U30GtKtlcUUiIiKuS0FfLio6yJfZj3QkrKoX+05mcPeU1SQq7IuUK6ZpsnRXIre89Qubj6Ze8jgDg4hA7zKsTFzN5iMpDJ+1EacJd7aJ4Knu9a0uSURExKUp6Msl1a7uy+cPxxIe4M3+pPywn5CqsC9SHmw+ksI9H6zmwenr2J14hiqebpfouA9O0+SuNhFlWp+4jkOnMnhw+u+cdeTRrUENXu7XHMO4VGsUERGRsqCgL5dVq7oPnz/ckfAAbw4kZXD3lFUcT1UXYBGrHDqVwfBZG7hj0m+s3p+Mh5uNR66rw2+jbuTff47BZoDdZmAzwHYua5nAx6sPYV6ia79IcZ1Kz+aBqWs5lZFDs3B/3hvYGne7/rQQERGxmpvVBUj5F1nNh9mPdOTuKas5eCqTAe+v5rNz4V9EykZyRg5vL9nLzDWHcOSZGAb0bRXOX3s2LPhevLNtJO2iqjF73RGOnj5LRKA3vh52Xl+4h2m/HcRmGPzzT431tFVKxNmcPIZ8vI6DpzKJCPRm6qB2+HrqzwoREZHyQL+RpUgiAn2Y/Ugs90xZzeHkTO6esorPhnYkIlBrI4uUprM5eUz97QCTl+3jTHYuANc1qMHo3o1oEuZ/wfFRQb6M6t2o0LZqvp78fe5WPvr1ADYD/n6Lwr5cmzynyROfb2Tj4RSqerszfXB7gv28rC5LREREzlHQlyILD/Dm84c7cs8Hqzl0KpO7p6zms6EdiaymsC9S0vKcJl+vP8obi3aTmJa/xGXTMH/G3NyYLvWDrupa93aohYnJP+Zu44NfDmAzDEbf3EhhX4rFNE3GfbuNRTsS8XCz8dEDbakXXMXqskREROQPFPTlqoQFeDP74Vju+WD1uTH7q/n8YYV9kZJimiY/7z7BKz/tYk9iOpD/JtvTvRpye4swbLbihfOBHWrjNOHZedt4f8V+MGB0b4V9uXqTl+/n09WHMQx4a0BL2kZVs7okERER+R8K+nLVQqp65T/Zn7Ka/UkZDHh/FZ893JHa1X2tLk2kQtt8JIWXf9zJmgPJAFT1dufxG+txX8faeLnbr/n6f+lYG9M0GfvNdt5fvh+bYfBMr4YK+1Jk8zYe49X5uwAYe2sTbm4eanFFIiIicjEK+lIsNf29Crrx7zuZUdCNPypIYV/kah06lcG/F+zmhy3HAfBwszG4cxSPdatHVR/3Er3X/bFRmCaM+3Y7/1m2D5sBf+upsC9X9ltcEk9/tRmAoV2jGdw52uKKRERE5FIU9KXYgv29+Ozhjtz7wRriTqQzYMoqPn84lmiFfZEiOZWezTtL4wrNpN+vVQQjezYo1VUtHugUhdM0ef67HUz6eR82w2BkjwYK+3JJO4+n8X+frMeRZ3JrTChjbm5sdUkiIiJyGQr6ck2C/bz4bGhHBn64mj2J6QXd+OvW0MRMIpdyfib9/yzbR3oRZtIvDYM7R+M04cXvd/DO0jhshsGIHg3K5N5SscSnnGXwtN85k51Lh+hqvHFXi2LPFSEiIiJlQ0FfrlkNP09mDe3IfR+uYVfCmXPd+DtQL9jP6tJEypU8p8lX648wYdGea55JvyQ81CUa0zR56YedvLVkL4YBT3VX2Jf/Sj3rYNC0tSSkZVE/uApT/tIWT7drny9CRERESpfN6gIAJk2aRFRUFF5eXnTo0IG1a9de8tjp06djGEahDy+vwmv3mqbJ2LFjCQ0Nxdvbm+7du7N3795CxyQnJzNw4ED8/f0JCAjgoYceIj09vVRenysIquLJzCEdaBTix8kz2dw9ZQ17E89YXZZIuWCaJkt2JnLzWysY9fVWEtOyCQ/w5q27W/Ld8C6WhPzzhnStwz9uye+G/ebivby1eO8VzhBXkZ2bxyOfrGNPYjrBfp5Mf7B9ic8ZISIiIqXD8qA/e/ZsRo4cybhx49iwYQMtWrSgV69enDhx4pLn+Pv7c/z48YKPQ4cOFdr/73//m7fffpvJkyezZs0afH196dWrF1lZWQXHDBw4kO3bt7No0SK+//57VqxYwcMPP1xqr9MVVK+S/2S/Sag/SenZ3PPBanYnKOyLa9t0JIW7p6zmoRn5gamqtzv//FNjlv6tG3e0DC8XXaCHXleHMTc3AmDi4j28s0Rh39U5nSZ/+3ILq/cnU8XTjemD25fqvBEiIiJSsiwP+hMmTGDo0KEMHjyYJk2aMHnyZHx8fJg6deolzzEMg5CQkIKPmjVrFuwzTZM333yTf/7zn9xxxx3ExMTw8ccfEx8fz7x58wDYuXMn8+fP58MPP6RDhw506dKFd955h88//5z4+PjSfsmVWjVfD2YN7UDTMH+S0nO454PV7EpIs7oskTJ36FQGw2ZtoM+k31hzIBkPNxuPdKvDiqdvYEjXOuWu+/Mj3eoy+lzYf2PRHib9HGdxRWKlVxfs4rvN8bjZDCbf16bM5o4QERGRkmHpGP2cnBzWr1/PmDFjCrbZbDa6d+/OqlWrLnleeno6tWvXxul00rp1a15++WWaNm0KwIEDB0hISKB79+4Fx1etWpUOHTqwatUq7r77blatWkVAQABt27YtOKZ79+7YbDbWrFlD3759L7hndnY22dnZBZ+npeWHV4fDgcPhKP4XoRLydTeY/kAbBs9Yz7b4NO6ZspoZg9rSOFRj9v/ofLtR+6lcTmXkMGnZfj5be4RcZ/5M+n1ahvHUjXUJO/dEtLz+mz/UqRa5uXm8vmgvry3Yjel08sh1JbOEmtp7xfHJ6sO8v3w/AOP7NqVDVFX9u10ltXdxJWrv4krKQ3sv6r0tDfpJSUnk5eUVeiIPULNmTXbt2nXRcxo2bMjUqVOJiYkhNTWV119/nU6dOrF9+3YiIiJISEgouMb/XvP8voSEBIKDgwvtd3Nzo1q1agXH/K/x48fz/PPPX7B94cKF+Pj4FO0Fu5iB4fCfVDuHMxzcPWUlw5rkEaGV9y6waNEiq0uQEpCTB8uOGyyOt5Gdl98dv3GAk9tqOQn3OsymlYfZZG2JRRIJ/CnS4Icjdl5ftJc9u3dxU7hZYtdXey/fNp8ymLbHBhj8KTIPj/hN/Bi/yeqyKiy1d3Elau/iSqxs75mZmUU6rsLNuh8bG0tsbGzB5506daJx48a8//77vPjii6V23zFjxjBy5MiCz9PS0oiMjKRnz574+6tL46X07OHgwY83sPloKlP2ejFjUFuaqgsokP9u3KJFi+jRowfu7prgqqLKzXMyd1M8by3ZR+KZ8zPp+/FMzwZ0qlvd4uqK5xag/rL9vLkkjm8P22ncuAFDukRd0zXV3su/DYdTeGbaOkyc3NMugudva4xhWD+HREWk9i6uRO1dXEl5aO/ne5ZfiaVBPygoCLvdTmJiYqHtiYmJhISEFOka7u7utGrViri4/PGk589LTEwkNDS00DVbtmxZcMz/TvaXm5tLcnLyJe/r6emJp6fnRe+vH2qXVt3dnU+GdOCBqWvZeDiF+6et49MhHYiJCLC6tHJDbahiMk2TpbtO8MpPu9h7In/FjohAb57u1ZDbYsLKxSR71+KpHg0xDBsTF+/h1QV7cLPbGXpdnWu+rtp7+bTvZDqPzNxIdq6T7o2DebFPc9zslk/jU+GpvYsrUXsXV2Jley/qfS39Le7h4UGbNm1YsmRJwTan08mSJUsKPbW/nLy8PLZu3VoQ6qOjowkJCSl0zbS0NNasWVNwzdjYWFJSUli/fn3BMUuXLsXpdNKhQ4eSeGnyB/5e7nz8YHva1A4kLSuXgR+uYfORFKvLEim2TUdSGHBuJv29J9IJ8MmfSX/JX8vPTPol4cnu9XnypvoA/OvHnXz4y36LK5LScOJMFoOmrSUl00GLyADevqeVQr6IiEgFZ3nX/ZEjR/LAAw/Qtm1b2rdvz5tvvklGRgaDBw8G4P777yc8PJzx48cD8MILL9CxY0fq1atHSkoKr732GocOHWLIkCFA/oz8Tz31FC+99BL169cnOjqaZ599lrCwMPr06QNA48aN6d27N0OHDmXy5Mk4HA6GDx/O3XffTVhYmCVfh8rOz8udGQ+2Z/C0tfx+8DT3fbiGjx9qT6tagVaXJlJkB5MyeG3Bbn7YehwADzcbD3aO5tHr61LVu3I+xRjRowEm8PaSvbz0w05shsGDXUpmgj6xXkZ2Lg9NX8eR5LPUru7DRw+0xcfD8j8NRERE5BpZ/tt8wIABnDx5krFjx5KQkEDLli2ZP39+wWR6hw8fxmb775OF06dPM3ToUBISEggMDKRNmzasXLmSJk2aFBzzzDPPkJGRwcMPP0xKSgpdunRh/vz5eHl5FRwzc+ZMhg8fzk033YTNZqN///68/fbbZffCXdD5tZgHT/+dtQeS+ctHa5lx7km/SHl2Kj2bd5bG8enqQwUz6fdrFcHIng1cYm3xEd3rY5om7yyN44Xvd2AzYFBnhf2KLjfPybBZG9h6LJVqvh7MGNyeoCoXDlETERGRiscwTbPkplN2IWlpaVStWpXU1FRNxneVMnNyeXD676zen4yvh50ZD7anbVQ1q8sqcw6Hgx9//JFbbrlFY9rKqcycXKb+eoDJy/eTnp0LQLcGNRh9cyMah7rW971pmry+cDeTft4HwAt3NOX+2Kgin6/2Xr6Ypsnor7cye90RvNxtfDa0o3pYlSC1d3Elau/iSspDey9qDtUgPClzPh5uTB3Ujtg61cnIyeOBqWv5/WCy1WWJFMjNc/L52sNc/9oyXl+4h/TsXJqF+zNzSAdmPNje5UI+5A+L+lvPhjx6fV0Axn6znU9WHbS2KCm2t5fEMXvdEWwGvHNPa4V8ERGRSkZBXyxxPux3qRdUEPbX7D9ldVni4kzTZPGORHq/9Quj52zlxJlsIgK9eevulnw7rAud6wVZXaKlDMPgmV4NeaRb/uz7z36znU9WH7K4KrlaX6w7wsTFewB44Y5m9GhS0+KKREREpKQp6ItlvD3sfPhAW7rWDyIzJ49B035n1T6FfbHGxsOnGfD+aoZ8vI64SjyT/rUyDIPRvRvx8Lml9p6dt42ZaxT2K4rle04yZs5WAIbdUJf7Ota2uCIREREpDQr6Yikvdzsf3N+W6xrU4Kwjj8HT17IyLsnqssSFHEzKYNjMDfR9byVrDybj6Wbj/7rVZfnTNzCkax083exWl1juGIbBmJsbMbRr/oR8/5i7jc/WHra4KrmSbcdSefTT9eQ5Tfq1CudvPRtaXZKIiIiUEgV9sZyXu50pf2nDDQ1rkOVwMnj67/y6V2FfSldSejbjvtlG9wnL+WHrcQwD/twmgp//dj2jb25UaZfLKymGYfD3Wxrz0Lml9sbM2crs3xX2y6sjyZkMmvY7mTl5dKkXxCv9YzAM9VIRERGprBT0pVzwcrcz+S9tuLFRMNm5Th6a8Tsr9py0uiyphDJzcnlnyV66/ftnZqzKXy7v+oY1+PGJrrx+ZwvCXGC5vJJiGAb//FNjBneOAmD0nK188fsRa4uSC6Rk5vDAtLUkpWfTKMSP/9zXGg83/foXERGpzPSbXsoNTzc7/7mvNd0b54f9IR+vY9nuE1aXJZVEbp6Tz87NpP/Goj1k5OTRLNyfWUM6MH2wa86kXxIMw2DsrU0Y1CkK04RRc7bwxTqF/fIiy5HHkBnr2H8yg7CqXkwf3B4/L/VWERERqewU9KVc8XSz897ANvRsUpOcXCcPf7yen3cp7EvxmabJonMz6Y+5yEz6nVx8Jv2SYBgG425rwv2xtfPD/tdb+Gr9UavLcnl5TpMRszex7tBp/LzcmP5ge0KqelldloiIiJQBBX0pdzzcbEwa2JreTUPIyXPyyCfrWbIz0eqypAI6P5P+0D/MpP/srU00k34pMAyD529vyl865of9p7/azJwNCvtWMU2TF7/fwU/bEvCw2/jg/rY0qOlndVkiIiJSRhT0pVxyt9t4595W3NI8P+z/36frWbRDYV+K5kBSBo/NXF9oJv1Hr8+fSf+hLtGaSb+UGIbBC3c05b6OtTBN+OuXm5m7UWHfCh/9eoDpKw8C8MZdLehYp7q1BYmIiEiZcrO6AJFLcbfbeOvuVhjGJn7YcpzHZq7n3Xtb06tpiNWlSTmVlJ7N20v2MmvNYXKdZv5M+q0jGNGjgSbZKyOGYfDC7c1wmjBrzWH++sVmbIbBLU2DrS7NZXy3OZ6XftgJwD9uacxtLcIsrkhERETKmoK+lGvudhtvDWiJzTD4bnM8w2Zu4N17W9G7WajVpUk5kpmTy4e/HOD95fvIyMkD4PqGNRjVu5Em2bOAzWbw0h3NME2Tz9YeYcTsTeT9uTnqR1H6Vu8/xV+/2AzAoE5RDOkabXFFIiIiYgUFfSn33Ow2Jt7VApsB32yKZ9isjbxzD9zSXGHf1eXmOfli3VHeXLyHE2eyAWgeXpUxNzfSJHsWs9kM/tWnOU4nzF53hL99tZW/1DO4xerCKrE9iWd4+ON15OQ56d00hGdvbYJhaB4KERERV6SgLxWCm93GhLtaYjcM5mw8xuOfbSTPaapLqosyTZPFO0/wyk872XcyA4DIat78rWdDbosJ0yR75YTNZjC+X3OcpsmX64/yyV4brbcmcEfrSKtLq3QS07IYNHUtaVm5tK0dyJt3t8Su7wMRERGXpaAvFYbdZvDanS0wDIOvNxzlyc834jRN7mgZbnVpUoY2HD7N+B938vvB0wAE+Ljz+I31ua9jLU2yVw7ZbAav9o8hz+lkzsZ4Rn61FXd3N/XIKUFnshw8MHUt8alZ1Knhywf3t8XLXd8LIiIirkxBXyoUu83g33+OwWbAl+uPMmL2JkwT+rRS2K/sDiRl8NqCXfy4NQEATzcbD3aJ5v+61aWqt7vF1cnl2GwGL/dpytGjR1l70sbjn23EAG5W2L9mOblOHv10A7sSzhBUxZMZg9sT6OthdVkiIiJiMQV9qXDs554Q2m0Gn/9+hJFfbMJpmvRrHWF1aVIKLjWT/sieDQitqpn0Kwq7zeCeuk7CwsKZt/k4j3+2kXcNg97NtIpGcZmmyeivt/BrXBI+HnamDWpHZDUfq8sSERGRckBBXyokm83g5b7NMQyDz9Ye5q9fbsZpwp/bKOxXFhebSf+GhjUYdXMjGoVoJv2KyGbAK/2agWEwb1M8w2dtYNJALZlZXG8s3MOcjcew2wzeG9ia5hFVrS5JREREygkFfamw8mf1bobdBp+uPszTX23G6TS5q50m+qooDiRl8MW6Ixw9fZaIQG/uahtJZKA3X6w7ysTFezj5x5n0b2lEp7qaSb+is9sM3rirJSbnVtGYuYH3Bramp8L+VZm55hDv/hwHwPi+zbm+YbDFFYmIiEh5oqAvFZrNZvDiHc2wGQYfrzrEM19vwWma3N2+ltWlyRV8se4Io7/egmEYmKaJYRhMXraPID8PTp7JAfJn0n+6VyNubR6qmfQrEbvN4I07W+A04bvN8QybtYH/DGxD9yY1rS6tQli8I5Fn520D4Knu9fXmpoiIiFzAZnUBItfKMAyev70pgzpFATB6zlZmrjlkbVFyWQeSMhj99RacJuQ5zYL/msDJMzn4e7kx9tYmLB7ZjdtbaLm8ysjNbmPiXS24NSYUR57JozPXs2RnotVllXubjqQw/LMNOE0Y0DaSJ2+qb3VJIiIiUg4p6EulYBgG425rwoOdowH4x9xtfLJaYb+8mv374UvuM4A720byYJdoLZdXybnZbbw5oCV/an4u7H+6gZ93nbC6rHLrYFIGD03/nSyHk+sb1uClvs0wDL0JJiIiIhdS0JdKwzAMnr21MUO75of9Z+dt4+NVB60tSgocSc7ks7WHGTZzAx/9egCnefHjDANOnBubL5Wfm93Gm3e35JbmIeTkOXnkk/Us262w/79OpWczaNpaTmXk0Czcn0n3tsbdrl/hIiIicnEaoy+VimEY/P2WxtgMg/dX7GfsN9vJc5oMPvekX8pO6lkHq/Yl8cveJH6NS+LQqcwinWcYBhGBWjbPlbjbbbx1dyuczo3M357Aw5+s54P729KtQQ2rSysXzubk8eCMdRw8lUlEoDdTB7XD11O/vkVEROTS9JeCVDqGYTD65kbYbAb/WbaP57/bQZ7TZEjXOlaXVqnl5DrZePg0v8blh/stR1MKPbW32wxaRQbQpX4QdWv48uTnmy76VN80TQa01eRirsbdbuOde1sxfNYGFmxPZOjH6/jw/rZc5+JhPzfPyeOfbWDzkRQCfNyZ8WB7gv28rC5LREREyjkFfamUDMPgmV4NsRsG7/4cx0s/7MQ0Yeh1CvslxTRN4k6kFzyxX73/FJnn1rs/r04NX7rWC6JL/Rp0rFMNPy/3gn1ZDiej/mfWfdM0ebV/DFFBvmX9cqQccLfbeOee1gybtYFFO86F/Qfa0rW+a4Z90zR57rvtLN55Ak83Gx890Ja6NapYXZaIiIhUAAr6UmkZhsFfezbAZjN4e8le/vXjTvJMk//rVtfq0iqsE2ey+O3cE/vf4pJITCs8lr6arwed6wWdC/dBhAVcugv+nW0jaRdVjdnrjnD09FkiAr0Z0DZSId/FebjZmHRvax6buYHFOxMZMmMdUwe1o3O9IKtLK3PvLdvHp6sPYxjw1t0taVO7mtUliYiISAWhoC+VmmEYjOzRAJsBby7eyys/7cJpmjx2fT2rS6sQzubksebAKX4999R+V8KZQvs93Wy0j65Gl3PBvnGI/1UthRcV5Muo3o1Kumyp4DzcbLw3sDWPzVzP4p0neGjG70x9oB2dXCjsz9lwlNcW7AZg3K1N6N0s1OKKREREpCJR0BeX8FT3BtgMgwmL9vDv+btxOk2G36j1p/9XntNke3xqfnf8vUmsP3SanDxnoWOahvnTpX4QXevVoG1UIF7uWgJPSp6Hm41JA1vz6KcbWLrrBA/O+J2pg9rRqW7lD/u/7k3ima+2APDIdXUYpMlERURE5Cop6IvLeOKm+thtBq8t2M3rC/eQ54QnuyvsH0nOPDfO/iQr950iJdNRaH94gHfBE/tOdatTvYqnRZWKq/F0s/Of+1rzf5+s5+fdJ3lw+u9MG9Se2LrVrS6t1OyIT+P/Pl1PrtPkthZh6vEiIiIixaKgLy5l2A31MAz49/zdTFy8B6dpMqJHA6vLKlNXWvbOz9ONjnWr07V+EF3qBREd5IthFL07vkhJyg/7bXjkk/Us35Mf9qcPbkeHOpUv7B9LOcvg6WtJz86lY51qvH5nzFUNhRERERE5T0FfXM5j19fDbhiM/2kXby3Zi3ku7FfWMHs1y951rR9Ei4gA3Ow26woW+R9e7nbe/0sbhn68jl/2JjF4+u9MH9ye9tGVZ3K61EwHg6auJTEtmwY1q/D+X9ri6aZhMSIiIlI8Cvrikh7pVhe7zeClH3by9tI48kyTv/VsWCnCvmma7D2/7N3ek6w5kHzBsnd1a/jStX4NutQLosP/LHsnUh55udv54P62BWF/0LS1zHiwPe2iKn7Yz87N4+FP1rH3RDo1/T2ZPrg9Vb31PSkiIiLFp6AvLmtI1zoYhsGL3+9g0s/7cJrwTK+KGfavtOxd9XPL3nU51x3/csveiZRX58P+kBnr+DUuiUFT1/LxQ+0r9LJzTqfJX7/YzJoDyVTxdGP64Pb6/hQREZFrpqAvLu2hLtHYDHj+ux38Z9k+nE6T0Tc3Kvdhv7SXvRMprwrC/se/81vcKR6Y+jszHmxPm9qBVpdWLK/M38X3W47jbjd4/y9taBzqb3VJIiIiUgko6IvLG9w5GrvNYOw323l/xX7ynCb/+FPjchX285wm246l8mvcxZe9M4xzy97Vq0HX+kG0qa1l76Ty8vaw8+H97Xhw+u+s2n+KB8492W9dq2KF/Wm/HWDKiv0AvPbnFnSuV/mXDhQREZGyoaAvAtwfG4VhGDw7bxsf/noApwnP3mpt2L+aZe861wuimq+HRZWKlD1vDzsfDWrLg9N/Z/X+ZB74KD/st6ogYX/+tuO88P0OAJ7p3ZA+rcItrkhEREQqEwV9kXP+0rE2dsPg73O3MvW3AzhNk3G3NSmzsF+UZe9izy1711nL3ong4+HG1EHtGDTtd9YeSOb+j9byyZAOtIwMsLq0y1p3MJknP9+EacJ9HWvxaLe6VpckIiIilUy5WENr0qRJREVF4eXlRYcOHVi7dm2Rzvv8888xDIM+ffoU2m4YxkU/XnvttYJjoqKiLtj/yiuvlOTLkgro3g61eKVfcwwDpq88yLhvt2Oa5pVPLIacXCdxqTDh/9u786iorqxt4E8VUMVQQDGDAqKioIwRFNFoYiQa45vRRF4kaFAxRlyJGtPG7sQp3Y2xE9thqWlxICa2OLxqesWRT8GgAopaKg6oBEQSBicEBBGqzveHsToVQNEApZfnt1YtqXv2vefcclOsXffWOf/vIl5fdgjPzNuLid8dx/qsQly+Xg1TuQy9vewwNaI7/u/9fjgx60WsHB2KmHAvdHFSscgnwr1if+27vdHHyx6VtfWIWZ2FU0Xlxh5Wky6VVWH8umzU1usQ0cMFc1/15+8yERERtTijX9HfuHEjpk2bhq+//hphYWFYtGgRhg4ditzcXDg7Oze5X0FBAaZPn44BAwY0aCsuLjZ4vmvXLowbNw4jRoww2D5v3jzExcXpn1tbW//BsyEp+N8+npDLZJix9RTWZVyGTgjMe9X/D09m1/iyd6YA8vUxv132rm9XB6iURv8VJXriWSlNsTa2N95dewRHC27inVVZWD++LwLcbY09NANllXfw7tojKK+uQ7CHGkujnoEJJ8kkIiKiVmD0KmLhwoWIi4tDbGwsAODrr7/Gjh07sGbNGnzyySeN7qPVahEdHY25c+ciPT0d5eXlBu2urq4Gz7///nsMGjQIXbp0MdhubW3dIJYIAEb29oBcLsPHW07iu8xCaHXA315/9GL/YcveqcwEBvVww8Duzni2myPcbLmsFtHjuFfs98G7a44g+/JNvLM6C+vHh8G/45NR7N+urcfYpKMoulkDLwdLrB4TCgsFJ8wkIiKi1mHUQv/u3bs4duwYZs6cqd8ml8sRERGBjIyMJvebN28enJ2dMW7cOKSnpz+wj9LSUuzYsQPffPNNg7b58+fj888/h6enJ0aNGoWpU6fC1LTxl6S2tha1tf8t0ioqKgAAdXV1qKura3Qferq9FugCofPHjK052HCkEFqtFuP6d8LWE8UoKq+Bu9oCb4V0gJeDlX6f6rv1OFpwE4fzbuBQ3nXkllYZHFNpKkdvLzv07+qAsE62uHwqA0OH9ICZmRkAMJdIsu7ndmvmuFIOJMY8g3HrjuN4YTmiV2Xim3dD4dfBuEvW1Wl1eH/9CeT8XAF7KzOsGt0LNko5f98lrC3ynehJwXyn9uRJyPfm9m3UQv/atWvQarVwcXEx2O7i4oLz5883us/BgwexevVqaDSaZvXxzTffwNraGm+++abB9g8++AC9evWCvb09Dh8+jJkzZ6K4uBgLFy5s9DgJCQmYO3dug+179+6FpaVls8ZCTx8FgOiuMnx3SY5Nx37GpmNFkAMQAGQAVqb/hCHuOpjKgNxbMuRXyqAV/73qL4OAuxXgYyvQXS3QxboeZvJSoKIUV04DchmQkpJipLMjanttke+RLsCNGyYoqKrHqMQMxPfUwt3q4fu1BiGADXlyZF2VQyEXeLdzDc5kpuGMcYZDbYzv79SeMN+pPTFmvldXVz88CE/ArfuPorKyEjExMUhMTISjY/PWG16zZg2io6Nhbm5usH3atGn6nwMDA6FQKPDee+8hISEBSqWywXFmzpxpsE9FRQU8PDwwZMgQ2NgY92oRta6XAbgfKkDC7gsAZLi/ev39Kfr2FBnefttRbY7+XR3Qv6sD+naxb3LZu7q6OqSkpODFF1/UX9Enkqq2zvcXh9Qh9pvjOFl0C4kXLbAuNhQ93Np+Hpal+/OQdTUPchmwdFQvvODj1OZjoLbH93dqT5jv1J48Cfl+/87yhzFqoe/o6AgTExOUlpYabC8tLW30u/N5eXkoKCjAK6+8ot+m090ru0xNTZGbm4uuXf+7TFF6ejpyc3OxcePGh44lLCwM9fX1KCgogI+PT4N2pVLZ6AcAZmZmfFNrB8rvaCGXAbomJuDv7GCJsc92xrPdnODlYPlIs2gzh6g9aat8tzczw7fjwxCz+ghOXinHmKRs/DuuL3q4td0HsxuPFmJJah4A4PPX/THUv0Ob9U1PBr6/U3vCfKf2xJj53tx+jbq8nkKhQEhICPbt26ffptPpsG/fPoSHhzeI9/X1xenTp6HRaPSPV199FYMGDYJGo4GHh4dB/OrVqxESEoKgoKCHjkWj0UAulz9wpn9qv4pu1jTZJpcB/u5qxIR7cW17oieIjbkZ1o3tgyB3W9ysrkP0qiycL2nep+B/VGpuGf68LQcAMHmQN6LDOrVJv0RERETAE3Dr/rRp0zBmzBiEhoaiT58+WLRoEW7fvq2fhX/06NHo2LEjEhISYG5uDn9/f4P91Wo1ADTYXlFRgc2bN+Orr75q0GdGRgaysrIwaNAgWFtbIyMjA1OnTsU777wDOzu71jlReqq521ncK+BFw0v6MpkM7nacLZ/oSWRrYYZ148IQszoLp4puYVRiFjbE9YWPa+vdxn+66Bbi1x+HVifwZq+O+GhI91bri4iIiKgxRr2iDwCRkZH48ssvMWvWLAQHB0Oj0WD37t36CfoKCwtRXFz8yMdNTk6GEAJRUVEN2pRKJZKTk/Hcc8/Bz88Pf/vb3zB16lSsXLnyD58PSdPIUA+IRop8ABBCIDLUo9E2IjI+WwszfDs2DP4dbXDj9l2MSszEhdLKVunryo1qxCYdRfVdLQZ0c8T8NwN5lw8RERG1OaNf0QeAyZMnY/LkyY22paWlPXDfpKSkRrdPmDABEyZMaLStV69eyMzMfJQhUjvX2dEKX4wIxIz/OwWZTAYhhP7fL0YEwsvRSFN6E1Gz2Fqa4btxYYhelYUzv1RgVGImNsT1RTeXlruyf/P2XYxZewTXqmrRw80Gy6N7QWFq9M/TiYiIqB16Igp9oqfB26Ee6O1lj43ZV1B0swbudhaIDPVgkU/0lFBbKrB+fBhGJWbhbHEFohKzkDyhL7ydVX/42HfqtBi/Lhs/Xb2NjmoLJMX2hrU5J6UiIiIi42ChT/QIvBytMOMlX2MPg4gek77YX5WFc8UViErMRPKEvujq9PjFvlYn8GHyCRy7fBM25qZIiu0NFxvzh+9IRERE1Ep4TyEREbUrdlb3in1fV2tcraxF1MpM5F2teqxjCSHw+Q9nsedMKRQmciSODm3RrwMQERERPQ4W+kRE1O7YWynw77i+8HW1Rtmvxf5Pj1HsJ6b/hKTDBQCAhZFBCOvi0MIjJSIiInp0LPSJiKhdsv/1yr6Py6/FfmIm8q/dbvb+/zn5C/6+8zwA4NPhPfA/gR1aa6hEREREj4SFPhERtVsOKiXWx4Whm7MKpRX3ruwXNKPYz8i7jumbTgIAxvbvjPEDurT2UImIiIiajYU+ERG1a44qJf4dd2/2/ZKKO4hKzMTl600X+xdKKzHh22zc1erwcoArPh3eow1HS0RERPRwLPSJiKjdc7JW4t9xYejqZIXiW3cQtTIThderG8SV3LqDMWuOoPJOPXp72WHhyGDI5TIjjJiIiIioaVxej4iICICztTk2TOj76yz8txGVmIl/vBWI9EvXUHSzBs7WSqSeL0PxrTvo6mSFxNGhMDczMfawiYiIiBpgoU9ERPQrZ2tzbIjri/9dmYmfrt3GqFVZMJEBAoBO3IuxNjdFUmwfqC0VRh0rERERUVN46z4REdFvONuY44u3AvXPteK/RT4AVNXWQ/vbDURERERPGBb6REREv7P/fBlMZI1/914uk2Fj9pU2HhERERFR87HQJyIi+p2imzUQaPyqvRACRTdr2nhERERERM3HQp+IiOh33O0sIGviir5MJoO7nUUbj4iIiIio+VjoExER/c7IUA8I0fQV/chQjzYeEREREVHzsdAnIiL6nc6OVvhiRCDkMsBELjP494sRgfBytDL2EImIiIiaxOX1iIiIGvF2qAd6e9ljY/YVFN2sgbudBSJDPVjkExER0ROPhT4REVETvBytMOMlX2MPg4iIiOiR8NZ9IiIiIiIiIglhoU9EREREREQkISz0iYiIiIiIiCSEhT4RERERERGRhLDQJyIiIiIiIpIQFvpEREREREREEsJCn4iIiIiIiEhCWOgTERERERERSQgLfSIiIiIiIiIJYaFPREREREREJCEs9ImIiIiIiIgkxNTYA3haCSEAABUVFUYeCT2t6urqUF1djYqKCpiZmRl7OEStivlO7QnzndoT5ju1J09Cvt+vP+/Xo01hof+YKisrAQAeHh5GHgkRERERERG1J5WVlbC1tW2yXSYe9lEANUqn0+GXX36BtbU1ZDKZsYdDT6GKigp4eHjgypUrsLGxMfZwiFoV853aE+Y7tSfMd2pPnoR8F0KgsrISHTp0gFze9DfxeUX/Mcnlcri7uxt7GCQBNjY2/MNI7QbzndoT5ju1J8x3ak+Mne8PupJ/HyfjIyIiIiIiIpIQFvpEREREREREEsJCn8hIlEolZs+eDaVSaeyhELU65ju1J8x3ak+Y79SePE35zsn4iIiIiIiIiCSEV/SJiIiIiIiIJISFPhEREREREZGEsNAnIiIiIiIikhAW+kREREREREQSwkKf6BH8+OOPeOWVV9ChQwfIZDJs377doF0IgVmzZsHNzQ0WFhaIiIjAxYsXDWJu3LiB6Oho2NjYQK1WY9y4caiqqjKIOXXqFAYMGABzc3N4eHhgwYIFDcayefNm+Pr6wtzcHAEBAdi5c2eLny+1XwkJCejduzesra3h7OyM119/Hbm5uQYxd+7cQXx8PBwcHKBSqTBixAiUlpYaxBQWFmL48OGwtLSEs7MzPv74Y9TX1xvEpKWloVevXlAqlfD29kZSUlKD8SxbtgxeXl4wNzdHWFgYjhw50uLnTO3XihUrEBgYCBsbG9jY2CA8PBy7du3StzPXScrmz58PmUyGKVOm6Lcx50kq5syZA5lMZvDw9fXVt0s61wURNdvOnTvFX/7yF7F161YBQGzbts2gff78+cLW1lZs375dnDx5Urz66quic+fOoqamRh/z0ksviaCgIJGZmSnS09OFt7e3iIqK0rffunVLuLi4iOjoaJGTkyM2bNggLCwsxL/+9S99zKFDh4SJiYlYsGCBOHv2rPj000+FmZmZOH36dKu/BtQ+DB06VKxdu1bk5OQIjUYjXn75ZeHp6Smqqqr0MRMnThQeHh5i3759Ijs7W/Tt21f069dP315fXy/8/f1FRESEOHHihNi5c6dwdHQUM2fO1Mf89NNPwtLSUkybNk2cPXtWLF26VJiYmIjdu3frY5KTk4VCoRBr1qwRZ86cEXFxcUKtVovS0tK2eTFI8v7zn/+IHTt2iAsXLojc3Fzx5z//WZiZmYmcnBwhBHOdpOvIkSPCy8tLBAYGig8//FC/nTlPUjF79mzh5+cniouL9Y+rV6/q26Wc6yz0iR7T7wt9nU4nXF1dxT/+8Q/9tvLycqFUKsWGDRuEEEKcPXtWABBHjx7Vx+zatUvIZDLx888/CyGEWL58ubCzsxO1tbX6mBkzZggfHx/985EjR4rhw4cbjCcsLEy89957LXqORPeVlZUJAOLAgQNCiHu5bWZmJjZv3qyPOXfunAAgMjIyhBD3PhiTy+WipKREH7NixQphY2Ojz+8//elPws/Pz6CvyMhIMXToUP3zPn36iPj4eP1zrVYrOnToIBISElr+RIl+ZWdnJ1atWsVcJ8mqrKwU3bp1EykpKeK5557TF/rMeZKS2bNni6CgoEbbpJ7rvHWfqIXk5+ejpKQEERER+m22trYICwtDRkYGACAjIwNqtRqhoaH6mIiICMjlcmRlZeljBg4cCIVCoY8ZOnQocnNzcfPmTX3Mb/u5H3O/H6KWduvWLQCAvb09AODYsWOoq6szyENfX194enoa5HtAQABcXFz0MUOHDkVFRQXOnDmjj3lQLt+9exfHjh0ziJHL5YiIiGC+U6vQarVITk7G7du3ER4ezlwnyYqPj8fw4cMb5CVznqTm4sWL6NChA7p06YLo6GgUFhYCkH6us9AnaiElJSUAYPBGcP/5/baSkhI4OzsbtJuamsLe3t4gprFj/LaPpmLutxO1JJ1OhylTpqB///7w9/cHcC8HFQoF1Gq1Qezv8/1xc7miogI1NTW4du0atFot851a3enTp6FSqaBUKjFx4kRs27YNPXv2ZK6TJCUnJ+P48eNISEho0MacJykJCwtDUlISdu/ejRUrViA/Px8DBgxAZWWl5HPdtNWOTEREkhAfH4+cnBwcPHjQ2EMhajU+Pj7QaDS4desWtmzZgjFjxuDAgQPGHhZRi7ty5Qo+/PBDpKSkwNzc3NjDIWpVw4YN0/8cGBiIsLAwdOrUCZs2bYKFhYURR9b6eEWfqIW4uroCQIOZOktLS/Vtrq6uKCsrM2ivr6/HjRs3DGIaO8Zv+2gq5n47UUuZPHkyfvjhB6SmpsLd3V2/3dXVFXfv3kV5eblB/O/z/XFz2cbGBhYWFnB0dISJiQnznVqdQqGAt7c3QkJCkJCQgKCgICxevJi5TpJz7NgxlJWVoVevXjA1NYWpqSkOHDiAJUuWwNTUFC4uLsx5kiy1Wo3u3bvj0qVLkn9/Z6FP1EI6d+4MV1dX7Nu3T7+toqICWVlZCA8PBwCEh4ejvLwcx44d08fs378fOp0OYWFh+pgff/wRdXV1+piUlBT4+PjAzs5OH/Pbfu7H3O+H6I8SQmDy5MnYtm0b9u/fj86dOxu0h4SEwMzMzCAPc3NzUVhYaJDvp0+fNvhwKyUlBTY2NujZs6c+5kG5rFAoEBISYhCj0+mwb98+5ju1Kp1Oh9raWuY6Sc7gwYNx+vRpaDQa/SM0NBTR0dH6n5nzJFVVVVXIy8uDm5ub9N/fW22aPyIJqqysFCdOnBAnTpwQAMTChQvFiRMnxOXLl4UQ95bXU6vV4vvvvxenTp0Sr732WqPL6z3zzDMiKytLHDx4UHTr1s1geb3y8nLh4uIiYmJiRE5OjkhOThaWlpYNltczNTUVX375pTh37pyYPXs2l9ejFvX+++8LW1tbkZaWZrAkTXV1tT5m4sSJwtPTU+zfv19kZ2eL8PBwER4erm+/vyTNkCFDhEajEbt37xZOTk6NLknz8ccfi3Pnzolly5Y1uiSNUqkUSUlJ4uzZs2LChAlCrVYbzIBL9Ed88skn4sCBAyI/P1+cOnVKfPLJJ0Imk4m9e/cKIZjrJH2/nXVfCOY8ScdHH30k0tLSRH5+vjh06JCIiIgQjo6OoqysTAgh7VxnoU/0CFJTUwWABo8xY8YIIe4tsffZZ58JFxcXoVQqxeDBg0Vubq7BMa5fvy6ioqKESqUSNjY2IjY2VlRWVhrEnDx5Ujz77LNCqVSKjh07ivnz5zcYy6ZNm0T37t2FQqEQfn5+YseOHa123tT+NJbnAMTatWv1MTU1NWLSpEnCzs5OWFpaijfeeEMUFxcbHKegoEAMGzZMWFhYCEdHR/HRRx+Juro6g5jU1FQRHBwsFAqF6NKli0Ef9y1dulR4enoKhUIh+vTpIzIzM1vjtKmdGjt2rOjUqZNQKBTCyclJDB48WF/kC8FcJ+n7faHPnCepiIyMFG5ubkKhUIiOHTuKyMhIcenSJX27lHNdJoQQrXe/ABERERERERG1JX5Hn4iIiIiIiEhCWOgTERERERERSQgLfSIiIiIiIiIJYaFPREREREREJCEs9ImIiIiIiIgkhIU+ERERERERkYSw0CciIiIiIiKSEBb6RERERERERBLCQp+IiIiIiIhIQljoExERSdzVq1ehUChw+/Zt1NXVwcrKCoWFhQ/cZ86cOQgODm6xMTz//POYMmVKix2PiIiImsZCn4iISOIyMjIQFBQEKysrHD9+HPb29vD09DT2sIiIiKiVsNAnIiKSuMOHD6N///4AgIMHD+p/fhTvvvsuXn/9dXz55Zdwc3ODg4MD4uPjUVdXp49Zvnw5unXrBnNzc7i4uOCtt97S73vgwAEsXrwYMpkMMpkMBQUF0Gq1GDduHDp37gwLCwv4+Phg8eLFj9xvbW0tZsyYAQ8PDyiVSnh7e2P16tX69pycHAwbNgwqlQouLi6IiYnBtWvX9O1btmxBQEAALCws4ODggIiICNy+ffuRXyMiIqInhamxB0BEREQtr7CwEIGBgQCA6upqmJiYICkpCTU1NZDJZFCr1Rg1ahSWL1/e7GOmpqbCzc0NqampuHTpEiIjIxEcHIy4uDhkZ2fjgw8+wLfffot+/frhxo0bSE9PBwAsXrwYFy5cgL+/P+bNmwcAcHJygk6ng7u7OzZv3gwHBwccPnwYEyZMgJubG0aOHNmsfgFg9OjRyMjIwJIlSxAUFIT8/Hx9IV9eXo4XXngB48ePxz//+U/U1NRgxowZGDlyJPbv34/i4mJERUVhwYIFeOONN1BZWYn09HQIIVrk/4GIiMgYZIJ/yYiIiCSnvr4eRUVFqKioQGhoKLKzs2FlZYXg4GDs2LEDnp6eUKlUcHR0bHT/OXPmYPv27dBoNADuXVlPS0tDXl4eTExMAAAjR46EXC5HcnIytm7ditjYWBQVFcHa2rrB8Z5//nkEBwdj0aJFDxz35MmTUVJSgi1btjSr3wsXLsDHxwcpKSmIiIhocLy//vWvSE9Px549e/TbioqK4OHhgdzcXFRVVSEkJAQFBQXo1KnTQ19XIiKipwFv3SciIpIgU1NTeHl54fz58+jduzcCAwNRUlICFxcXDBw4EF5eXk0W+U3x8/PTF9sA4ObmhrKyMgDAiy++iE6dOqFLly6IiYnB+vXrUV1d/dBjLlu2DCEhIXBycoJKpcLKlSsbTBT4oH41Gg1MTEzw3HPPNXr8kydPIjU1FSqVSv/w9fUFAOTl5SEoKAiDBw9GQEAA3n77bSQmJuLmzZuP9LoQERE9aVjoExERSZCfnx9UKhViYmJw5MgRqFQqDB48GAUFBVCpVPDz83vkY5qZmRk8l8lk0Ol0AABra2scP34cGzZsgJubG2bNmoWgoCCUl5c3ebzk5GRMnz4d48aNw969e6HRaBAbG4u7d+82u18LC4sHjrmqqgqvvPIKNBqNwePixYsYOHAgTExMkJKSgl27dqFnz55YunQpfHx8kJ+f39yXhYiI6InDQp+IiEiCdu7cCY1GA1dXV3z33XfQaDTw9/fHokWLoNFosHPnzhbv09TUFBEREViwYAFOnTqFgoIC7N+/HwCgUCig1WoN4g8dOoR+/fph0qRJeOaZZ+Dt7Y28vLxH6jMgIAA6nQ4HDhxotL1Xr144c+YMvLy84O3tbfCwsrICcO+Dg/79+2Pu3Lk4ceIEFAoFtm3b9hivABER0ZOBhT4REZEEderUCSqVCqWlpXjttdfg4eGBM2fOYMSIEfD29m7x76P/8MMPWLJkCTQaDS5fvox169ZBp9PBx8cHAODl5YWsrCwUFBTg2rVr0Ol06NatG7Kzs7Fnzx5cuHABn332GY4ePfpI/Xp5eWHMmDEYO3Ystm/fjvz8fKSlpWHTpk0AgPj4eNy4cQNRUVE4evQo8vLysGfPHsTGxkKr1SIrKwt///vfkZ2djcLCQmzduhVXr15Fjx49WvT1ISIiakss9ImIiCQqLS0NvXv3hrm5OY4cOQJ3d3e4ubm1Sl9qtRpbt27FCy+8gB49euDrr7/Ghg0b9F8RmD59OkxMTNCzZ084OTmhsLAQ7733Ht58801ERkYiLCwM169fx6RJkx657xUrVuCtt97CpEmT4Ovri7i4OP3yeB06dMChQ4eg1WoxZMgQBAQEYMqUKVCr1ZDL5bCxscGPP/6Il19+Gd27d8enn36Kr776CsOGDWvR14eIiKgtcdZ9IiIiIiIiIgnhFX0iIiIiIiIiCWGhT0RERERERCQhLPSJiIiIiIiIJISFPhEREREREZGEsNAnIiIiIiIikhAW+kREREREREQSwkKfiIiIiIiISEJY6BMRERERERFJCAt9IiIiIiIiIglhoU9EREREREQkISz0iYiIiIiIiCTk/wN1NH9orytjGgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from capymoa.evaluation.visualization import plot_windowed_results\n",
    "from capymoa.datasets import Electricity\n",
    "from capymoa.anomaly import OnlineIsolationForest\n",
    "from capymoa.evaluation import prequential_evaluation_anomaly\n",
    "\n",
    "stream = Electricity()\n",
    "oif = OnlineIsolationForest(schema=stream.get_schema(), num_trees=10)\n",
    "\n",
    "results_oif = prequential_evaluation_anomaly(stream=stream, learner=oif, window_size=4500)\n",
    "\n",
    "print(f\"AUC: {results_oif.auc()}\")\n",
    "display(results_oif.windowed.metrics_per_window())\n",
    "plot_windowed_results(results_oif, metric=\"auc\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f979d3b-021b-48a0-95c5-7066b92895a4",
   "metadata": {},
   "source": [
    "## 2.3.1 Comparing algorithms"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c5e81e61-7a9f-4f6d-a4df-415a25bf2b03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_windowed_results(results_hst, results_ae, results_oif, metric=\"auc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40776264-07b5-4d86-8133-4e78196ad9d3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.19"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}