BTC Forecast.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/chris/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n",
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import keras\n",
    "import quandl\n",
    "import numpy as np\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "import matplotlib.pyplot as plt\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from keras.models import Sequential\n",
    "from keras.layers import Dense\n",
    "from keras import regularizers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw_data = quandl.get('BITFINEX/BTCUSD')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## See the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Mid</th>\n",
       "      <th>Last</th>\n",
       "      <th>Bid</th>\n",
       "      <th>Ask</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-04-15</th>\n",
       "      <td>513.9000</td>\n",
       "      <td>452.00</td>\n",
       "      <td>504.23500</td>\n",
       "      <td>505.0000</td>\n",
       "      <td>503.5000</td>\n",
       "      <td>504.97</td>\n",
       "      <td>21013.584774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-16</th>\n",
       "      <td>547.0000</td>\n",
       "      <td>495.00</td>\n",
       "      <td>537.50000</td>\n",
       "      <td>538.0000</td>\n",
       "      <td>537.0000</td>\n",
       "      <td>538.00</td>\n",
       "      <td>29633.358705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-17</th>\n",
       "      <td>538.5000</td>\n",
       "      <td>486.10</td>\n",
       "      <td>507.02000</td>\n",
       "      <td>508.0000</td>\n",
       "      <td>506.0400</td>\n",
       "      <td>508.00</td>\n",
       "      <td>20709.783819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-18</th>\n",
       "      <td>509.0000</td>\n",
       "      <td>474.25</td>\n",
       "      <td>483.77000</td>\n",
       "      <td>482.7500</td>\n",
       "      <td>482.7500</td>\n",
       "      <td>484.79</td>\n",
       "      <td>10458.045243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-19</th>\n",
       "      <td>513.9899</td>\n",
       "      <td>473.83</td>\n",
       "      <td>505.01065</td>\n",
       "      <td>507.4999</td>\n",
       "      <td>502.5313</td>\n",
       "      <td>507.49</td>\n",
       "      <td>8963.618369</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                High     Low        Mid      Last       Bid     Ask  \\\n",
       "Date                                                                  \n",
       "2014-04-15  513.9000  452.00  504.23500  505.0000  503.5000  504.97   \n",
       "2014-04-16  547.0000  495.00  537.50000  538.0000  537.0000  538.00   \n",
       "2014-04-17  538.5000  486.10  507.02000  508.0000  506.0400  508.00   \n",
       "2014-04-18  509.0000  474.25  483.77000  482.7500  482.7500  484.79   \n",
       "2014-04-19  513.9899  473.83  505.01065  507.4999  502.5313  507.49   \n",
       "\n",
       "                  Volume  \n",
       "Date                      \n",
       "2014-04-15  21013.584774  \n",
       "2014-04-16  29633.358705  \n",
       "2014-04-17  20709.783819  \n",
       "2014-04-18  10458.045243  \n",
       "2014-04-19   8963.618369  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8e8ba3c160>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "raw_data.drop(['High','Low','Last','Bid','Ask','Volume'],axis=1).plot.line()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feat eng"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = raw_data.drop(['High','Low','Last','Bid','Ask'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['day'] = data.index.day\n",
    "data['dayofweek'] = data.index.dayofweek\n",
    "data['month'] = data.index.month\n",
    "data['year'] = data.index.year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DPs:  1582\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>Mid</th>\n",
       "      <th>Volume</th>\n",
       "      <th>day</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-04-15</th>\n",
       "      <td>504.23500</td>\n",
       "      <td>21013.584774</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-16</th>\n",
       "      <td>537.50000</td>\n",
       "      <td>29633.358705</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-17</th>\n",
       "      <td>507.02000</td>\n",
       "      <td>20709.783819</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-18</th>\n",
       "      <td>483.77000</td>\n",
       "      <td>10458.045243</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-19</th>\n",
       "      <td>505.01065</td>\n",
       "      <td>8963.618369</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Mid        Volume  day  dayofweek  month  year\n",
       "Date                                                            \n",
       "2014-04-15  504.23500  21013.584774   15          1      4  2014\n",
       "2014-04-16  537.50000  29633.358705   16          2      4  2014\n",
       "2014-04-17  507.02000  20709.783819   17          3      4  2014\n",
       "2014-04-18  483.77000  10458.045243   18          4      4  2014\n",
       "2014-04-19  505.01065   8963.618369   19          5      4  2014"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('DPs: ', data.shape[0])\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Le train & Le test\n",
    "### + feats labels split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_size = int(len(data) * 0.90)\n",
    "test_size = len(data) - train_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "label = ['Mid']\n",
    "feats = [c for c in data.columns if c not in label]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "train = data[:train_size]\n",
    "test = data[train_size:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1423, 159, 1582)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(train), len(test), len(train) + len(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = train[feats]\n",
    "y_train = train[label]\n",
    "X_test = test[feats]\n",
    "y_test = test[label]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "reg = RandomForestRegressor(max_depth=5, random_state=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/chris/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:1: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  if __name__ == '__main__':\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=5,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "           min_samples_leaf=1, min_samples_split=2,\n",
       "           min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,\n",
       "           oob_score=False, random_state=0, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainPredict = reg.predict(X_train)\n",
    "testPredict = reg.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean squared error: 819933.26\n",
      "Root Mean squared error: 905.50\n",
      "R2 score: 0.20\n"
     ]
    }
   ],
   "source": [
    "# The mean squared error\n",
    "print(\"Mean squared error: %.2f\"\n",
    "      % mean_squared_error(y_test, testPredict))\n",
    "\n",
    "# RMSE\n",
    "print(\"Root Mean squared error: %.2f\"\n",
    "      % math.sqrt(mean_squared_error(y_test, testPredict)))\n",
    "\n",
    "# Explained variance score: 1 is perfect prediction\n",
    "print('R2 score: %.2f' % r2_score(y_test, testPredict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#enche as previsoes de teste de NaN para o plot\n",
    "for i in range(len(trainPredict)):\n",
    "    testPredict = np.insert(testPredict, 0, np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = [20, 10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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AAAAAcrfRH5ck/dI/TT+Nnye35fRJx4PCwiuUalQoAbmhQgkAAAAAkLuN/oQk6WDYJ0nyzSYdD/zWZyg1dnkjUALyQqAEAAAAAMjder8sSToYJW1ugTf552m9QmmuXd7qgVJaoUTLG5AbAiUAAAAAQO7WW9LyNlRLAqUpeZKCoChJiqPZA6VsZlIpoEIJyBuBEgAAAAAgdwNpoHQgnLlCqZBWKIXh7C1vWUFSVqEURlQoAXkhUAIAAAAA5G7dlEBpeoVSMkMpDKuzvkdWoZTNUKrFVCgBeSFQAgAAAADkrt+NadyVNB4mP0unVigV0wqlKG15OzxWlXOTA6PYTd7ljQolID8ESgAAAACA3K1xYxpWX/21N3mTt3qFUhSGeuLguM78s5t15U8fm3ROOGWXtxozlIDcECgBAAAAAHLX78Y04pJAyfdMZpMTpUK9QinU0GhFknT93U9NOicbwp0FSiG7vAG5IVACAAAAAOSuqKrKSqqQ/ClhkiSZlwRKLg7VX0qeHx2fPE9pessbFUpAXgiUAAAAAAC58xQrSn+S+lP73SR5fhIiKY7qwdHRidqkc7KWt1K95Y0KJSAvBEoAAAAAgNx5LlY8V6CUDul2caQoDY6OTAmUsvWerEKJXd6A3BAoAQAAAAByZ5onUDJTzflSHNYrlKZs8lYPlLIKJXZ5A/JDoAQAAAAAyN28LW9miuVNqlCaamqFEru8AfkhUAIAAAAA5M5zsWI3e6Dke6YoDZTiqaVJqazFjV3egPwRKAEAAAAAcpdUKCVB0ky7vHlpoKQ4mrR7WxxPf16iQgnIHYESAAAAACB33rwzlJQGSqGipgqlWlMV0rQKJQIlIDcESgAAAACA3M03Q8m3RoVScydbcxVSlB4o+J7MaHkD8kSgBAAAAADIXXOgFMwQKFk2lNtFkyuUwkZolG3qFvimgufR8gbkiEAJAAAAAJA7z8Vy6U9Sb46h3BbHk+Ym1aLmlrfkuWemwDeFERVKQF4IlAAAAAAAuZuvQskzKZQvF4eKmgKlalNo9PNHD0mSCr4p8Kw+UwlA+xEoAQAAAABy17zLmzfLLm+xM2lqy1va1laLYn39F0/qJSdv0Ikb+1TwvUnVSwDaa95AycyuNLNBM7uvae3jZvZvZnZX+u83m4592Mx2m9lDZvaapvUL0rXdZnZZ0/opZvYzM3vYzK41s+Jy/oEAAAAAgO7inJPftMtb4M9UodQ8lHt6y9tIOalcet3zt8vqLW9UKAF5aaVC6cuSLphh/TPOuRel/26QJDN7jqS3SXpues1fmZlvZr6kL0h6raTnSHp7eq4k/b/pe+2UdFjSu5byBwEAAAAAulvsJre8zVSh5KdDuadWKFXDLFCqSZLW9hQkSYHnqcYub0Bu5g2UnHO3SjrU4vtdKOnrzrmKc+5RSbslvTT9t9s594hzrirp65IuNDOT9BuSvpVef5WkNyzwbwAAAAAArCBxWqGUBUr+jLu8JTOULI4mzVBqrlCSpP6eQFIyR4kKJSA/S5mh9F4zuydtiduQrh0v6cmmc/ama7Otb5J0xDkXTlmfkZldYma7zGzX0NDQEm4dAAAAANApsXPyzCl2swdKvpdWKMWR4hlmKGWB0to0UAp8r77rG4D2W2ygdIWkUyW9SNI+SX+Rrk//fwHJLWJ9Rs65LzrnznbOnb1ly5aF3TEAAAAAoCs4p0kzlPyZWt68dIaSiyZVHmUVSqOVNFAqZS1vVg+bALTfogIl59x+51zknIsl/a2SljYpqTA6oenUHZKemmP9gKT1ZhZMWQcAAAAArFKNlrckSFpTCqadkxUtbXv6Rxo4cn99vRpNnaGUXFsKPN38y/16xad+2M5bB5BaVKBkZtubXv4HSdkOcNdLepuZlczsFEk7Jf1c0i8k7Ux3dCsqGdx9vXPOSfqhpDel118s6TuLuScAAAAAwMoQO8kUS+ZLkrasLU07xzPTSbZfkvTSuz5SX6+FkyuUshlK2eMTh8blHJVKQLvNGyiZ2TWSbpN0upntNbN3SfqUmd1rZvdIepWk90uSc+5+Sd+Q9EtJ35X0nrSSKZT0Xkk3SXpA0jfScyXpQ5I+YGa7lcxU+rtl/QsBAAAAAF0lq1Bylvwk3dJfnHaOZ6a1NiFJWj+6R2/w/lnS7DOU+puqnGLyJKDtptcVTuGce/sMy7OGPs65T0j6xAzrN0i6YYb1R9RomQMAAAAArHIuTmYoVeOkr2193/RAaeqg7s8W/0r/WP71+gyl4XJNRd9TKUiqnPrTWUqSFMaxfM9v1+0D0NJ2eQMAAAAAYMFi5+TJJUO3Ja3vK0w7Z4Y53ZIaM5RGy2G9OkkP36zNhUr9nIgSJaDtCJQAAAAAALmK6kO5Zw+UplYoSVJRtUm7vK0pBdLIfulrb9JZI9+vnxcSKAFtR6AEAAAAAMhVNkMpTn+SDvTOPENpquPsUH0ody2KVQw8aWSfJKlfjQqlmEAJaDsCJQAAAABArpyTPMV6/o4NettLTtALdwxMO8cz029X/mzS2vneHfWh3LXIKfBMGhuSJPX5Yf08KpSA9iNQAgAAAADkKqtQ2tDfo0++8QUK/Ok/TX3PdI87VQfXPru+9rHC1aqFNUlSGMUq+F49UOq1RqDEDCWg/QiUAAAAAAC5imMnz5xks+/EVh+h5CJJ0gG3TpJk1RFJSRWS75k0OihJKqpav5YKJaD9CJQAAAAAALmKoyQkcnMFSmmiZErCoZ/FZ0iS/MqwJCmMnAp+o+XNixuBUhQRKAHtRqAEAAAAAMiVi5NASd5cFUqWnSxJ2qfNkiS/mgZKcazA8+oVSl7UXKEUL/ctA5iCQAkAAAAAkCsXp/OOvNl/kvpTAqX9aaD0+j0flyYOK4ydAt+ksSRQ2tbXuJYZSkD7ESgBAAAAAHKVtbzNNUMpy5MsDZQOWzJDaWv5Uem2LyjMdnkbTVreiq6qK373xZKkyBEoAe1GoAQAAAAAyFW95W2OQMlPZyjdueMdkqRHdELjYNCjWhQnu8OlM5QUVurXhMxQAtou6PQNAAAAAACOLVnLm83R8pbNULp32xt069rf1P5/fbB+rFZYpyh2WmPlRqAUVZIWONHyBuSBCiUAAAAAQK5cFvjMtctb2vIWOafYOZWtMSTp0aGjiqNQn93zOindBS6pUEp+4oYESkDbESgBAAAAAHIV14dyzzVDyWQmOeeSiiOv0WDj1cbVE41MviAsJzOVRIUSkAcCJQAAAABArlwLgZKU7PQWxUmFkpeVLEmy2rj6o6ONE3vWS2G13ib34NPD+u59Ty/7fQNoIFACAAAAAOQrTnZum6vlTZI8zxS7pOLIN9NTv/H5ZD2cUH/cVKG0dntSoZTOUPp/vnOP3nf1bW25dQAJAiUAAAAAQK7i+lDueQIlk2LnFMXJrm9jp/+OhtyAvHBCa+O0QulVH5We8aJJu7y9L7hO/1j8WFv/BuBYR6AEAAAAAMiVa7FCyTdTHDtFcSzPS0KlcVeSF45rbTycnPTCt0lBKdnlLQ2UXmCP6kQbVMwsJaBtCJQAAAAAALlqzFCyOc/zzPT/3bNPB8eq8s2SQEkleeGE1rk0UOrdKAU9UljW5oeu0S3FD+oEG9Qaq6hSC9v8lwDHrmD+UwAAAAAAWEZxJEkym/sn6Ugl1Egl1NPDZZ26ZY08M5VV0oZwXANuWKEVFRTXSH5RCit6xk8ukzwpdEntRHl8RL2ljW3/c4BjERVKAAAAAIBcxVnL2zwzlJr5ninwk5Y3PyprwI2qXBiQzNIKpUr93MCS96+Mjy7rfQNooEIJAAAAAJAr1+JQ7maemXzLWt7GtMmkicIG9UvJDCVNn5dUmRhenhsGMA0VSgAAAACAXLlFVih5nmlCJQXhhDbbUU0U03a2Qt+M19TGR5Z6qwBmQaAEAAAAAMhXvUKp9Z+kvpdWKLmS/GhCm21YldKm5ODz3ySt3T7tmnCCQAloFwIlAAAAAECusgol81qfwuKZyfdNY+pVMRzVFh1VOQuU+rdKl/xYta3Pn3RNrUygBLQLgRIAAAAAIF/ZLm+etXxJVqE06NarGE+oZDVVejY3Tli7TcMX3aJxV9Kw65UkRWWGcgPtQqAEAAAAAMhVNpRb1nqFkm8m3zPtdxvqa7XmQElS4Hl63G3VnfFOSVJcIVAC2oVd3gAAAAAA+aq3vC1glzcvqVIa1Pr6WnVKoOR50u9VP6I+K+sn/vulytjy3C+AaQiUAAAAAAC5ci5reVvYLm++Ta5QqvTvmHRO4Hk6qAGNuZ7kc6pUKAHtQssbAAAAACBXcbyYQMmT55kGmwOltSdPOSeZyVRWUbEzWWV46TcLYEYESgAAAACAfKWBkhYQKD1z8xpJ0pglA7djZyoEk3/SBvUh36Z92qhTH79Whw8dWPLtApiOQAkAAAAAkK80UPL81gOl52xfJ0lyMl1U/ZBeUf2MAm/yT1qvade4K8Lf1oCNa/CxXy7DDQOYihlKAAAAAIBcuXQo90J2edu5rT+51km3uhdKknzfZj1/YPup0gHJXLj4GwUwKyqUAAAAAAC5cmnI4/mt/ST94Pmn6UUnrJ9+wM1+zaufd3xyStZeB2BZESgBAAAAAPK1wKHc7/2NZ8lsejXSeHX2sMi8pPrJRbVF3CCA+RAoAQAAAABy5aIkCPL91lreZgqTJGmsOns7m6XvXW+vA7CsCJQAAAAAALmK05BnIUO5Z3LSxr7ZD6bVTy5ihhLQDgRKAAAAAIB81WcoLX6fqD88b6de9sxNsx7PWt4U0/IGtAOBEgAAAAAgV9mgbK/FGUozOXXLmjmPN1reGMoNtAOBEgAAAAAgX/HCZijNxPdmnqskSc/a2t8IlGh5A9pi8d9eAAAAAAAWIc4qlJYwQynwZq6PuPvyV6sUeHr0l79IP4wKJaAdCJQAAAAAAPlahkCp4M9coTTQW0jfO2t5o0IJaAcCJQAAAABAvlpsefvpZb+hahjPeGyuljepeSg3gRLQDgRKAAAAAIBcNYZyz/2T9Pj1vbMeK/hzjwQmUALai6HcAAAAAIBcOZdUHflBe4ZyS5IFWcvbzBVOAJaGQAkAAAAAkK+s5c1b/hlKGS97byqUgLYgUAIAAAAA5MtlQ7mXUqE0989Zz0+Gczt2eQPagkAJAAAAAJCreshji/9JGszX8uYzQwloJwIlAAAAAEC+0golLaHlLZi35S0JlIxACWgLAiUAAAAAQK4sG5RtSwiU5ml5yyqUnKPlDWgHAiUAAAAAQK7qIc88odBc5h3K7WcVSgRKQDsQKAEAAAAAcmVxpHCJP0f9eWYoecxQAtqKQAkAAAAAkCvnYsVL/Dla8Ofb5S1tp4sjOef0hR/u1v7h8pI+E0ADgRIAAAAAIF8uWnKgNG+Fkucpcia5SA/sG9Gnb3pI/+c1dy7pMwE0ECgBAAAAAHJlcaRoqRVK88xf8s0UypfFoaLYSZLGq7S/AcuFQAkAAAAAkC8Xyy21Qmm+odxmiuRP2uXNuSV9JIAm836DzexKMxs0s/ua1j5tZg+a2T1m9m0zW5+un2xmE2Z2V/rvr5uuOcvM7jWz3Wb2eTOzdH2jmd1sZg+njxva8YcCAAAAALqDLUPLWzBvy5sUyZPFkWzuUwEsQivf4C9LumDK2s2Snuece4GkX0n6cNOxPc65F6X//qBp/QpJl0jamf7L3vMySbc453ZKuiV9DQAAAABYrfIYym2WtNXF0ZznAViceb/BzrlbJR2asvY951zWfHq7pB1zvYeZbZe0zjl3m3POSfqKpDekhy+UdFX6/KqmdQAAAADAKmRxpNiWFijNU6Ak30tnKLmoPkMJwPJZjhlK/0nSjU2vTzGzO83sx2b28nTteEl7m87Zm65J0jbn3D5JSh+3zvZBZnaJme0ys11DQ0PLcOsAAAAAgNwtQ4WSzdPHZibF8mQuVBjHyceSKwHLZknfYDP7qKRQ0tfSpX2STnTOnSnpA5L+3szWSZrpm77gr7Jz7ovOubOdc2dv2bJlsbcNAAAAAOgkFyuW39aPSHZ5S1reahFJErDcgsVeaGYXS/otSeelbWxyzlUkVdLnd5jZHkmnKalIam6L2yHpqfT5fjPb7pzbl7bGDS72ngAAAAAA3c/c0lsrk6qBAAAgAElEQVTe5uOZKXJJy1tIoAQsu0V9g83sAkkfkvTbzrnxpvUtZuanz5+pZPj2I2kr24iZnZPu7naRpO+kl10v6eL0+cVN6wAAAACAVchcLDdjI8v83nfeTm1bV5r3PM+zdJe3ULW05Q3A8pm3QsnMrpF0rqTNZrZX0uVKdnUrSbo57Vu9Pd3R7RWS/tTMQkmRpD9wzmUDvS9VsmNcr5KZS9ncpU9K+oaZvUvSE5LevCx/GQAAAACgK5mL5BZZofT+80/T+88/raVzI3kyF9crlKhTApbPvIGSc+7tMyz/3SznXifpulmO7ZL0vBnWD0o6b777AAAAAACsDuaits9QkqTI/GQod0SFErDc2tu0CgAAAADAFKZ40RVKC5Hs8hapFlObBCw3AiUAAAAAQK7MxW0fyi1JkbKh3FQoAcuNQAkAAAAAkCtzkVwOLW+xPFnc2OUt3aAcwDIgUAIAAAAA5CuvCiXz05Y3KpSA5UagBAAAAADIlZfTDKWs5c1Vx/XPpT/Ui2p3t/0zgWMFgRIAAAAAIFfmYuXxczSWJ89FWjP8iHbYAb27fGXbPxM4VhAoAQAAAAByZS6SsxxmKJmfDACn5Q1YdgRKAAAAAIBcecpvlzfPhfJqo23/LOBYQ6AEAAAAAMiVuVjKo0JJnsxF8qpJoMQmb8DyIVACAAAAAOTKc1EuQ7lj82WKVQhH0hUSJWC5ECgBAAAAAHJlcrnMUIrk6/jybp106F+mHfvJw0P6mx/vafs9AKsVgRIAAAAAIFee4lwqlH5QeLkk6bmHbpY0ueXt41d+W7fd9PW23wOwWgWdvgEAAAAAwLHFc1EuQ7n/ufBrOhxt1obwgCSp4Kr1Y7eU/jh99tG23wewGlGhBAAAAADIlSnOpeXNM2nE31B/3a/xaec4JnUDi0KgBAAAAADIladYyqFCyTPTUX9j/fUaNz1QqtSitt8HsBoRKAEAAAAAcuW5fCqUfM803FSh1GcVKapNOqdcnmj7fQCrEYESAAAAACA35Vokc5GUQ6BkZhr2BiYvPnXXpJcT46Ntvw9gNSJQAgAAAADk5lPffUi+YpmfR4WS1B8dTT639lbVnC/3tTdKj/6kfk5lYqTt9wGsRuzyBgAAAADIzVNHJuSZ0ylb1rX9szwz3bj2TeqNx/U/D71GW+2w3ln+nnTVb9XPqY6PLetnRrHTp256UMMTNf3333nBsr430E2oUAIAAAAA5Ga0EqrHl3qLhbZ/lmemvYWT9PnNH9OEevTx8J3TzqmVlzdQ+tFDg/qbHz+ia37+pMIoXtb3BroJgRIAAAAAIDcjlVC+xZKXxy5vUhy7OYOdsLy8M5Suv/up+vMqgRJWMQIlAAAAAEBuRso1+XK5DOX2PVPsnMarUX3tyKv++6RzapXlrVB66OnGTKZqSKCE1YtACQAAAACQm9FyKF+x5OWzy1sUO41Vwvra4ederHve/bheV/lvkqRomQOl0abPqhAoYRUjUAIAAAAA5GakHMpTnE+FkpmcS0KetaVkT6pyLdLRiZomVJQkxcs8Q2m0Eqo//axKjUAJqxeBEgAAAAAgF2EUa6IWJYFSDhVKnidFzmm0HGpTfxIgVcJYg8MVjbuSJOmkJ/9Bipcn+HHOaaQcauOa5LOqUTTPFcDKRaAEAAAAAMhF1g7muUiyPIZyJy1vo9VQm/qTAKlci7R/pKwJJa+fcejn0n3XLcvnlWuxotjVw6syFUpYxQiUAAAAAAC5GCmH2qZDKsTlfCqUzDRWCeWctLke8kQaHK7IL61pnPir7y7L541UapKkzWl4xS5vWM0IlAAAAAAAuRgph/pI4e+TF/3Htf3zfM80XE5CnqxC6eH9o/ryvzymjev6GycO/nJB7ztSrqkSTm9nGyknFVib0pY3ZihhNSNQAgAAAADkYtOPP6wL/X/Rka0vlc65tO2f55l0dCKtGkpDnk/c8IAk6chEqGv0GlW8PilufdbRDx7cr+d//Hv6xD89MO3YaBYo1ec1MUMJqxeBEgAAAACg/fbeoW0PXS1JKp90rmTW9o+MXWOOUVahlNm0pqhP+/+7Hlr37yTXevBz5xNHJEmPHpi+O1w2I6re8hZSoYTVi0AJAAAAANB+D/6v+tPCKS/P5SN/8OBg/XlWNZT50sVnq+CbQuctqEKpXJv93JG0vS7b5a1CoIRVjEAJAAAAANB+5WFNBOv1kvJfae1pv57LR/7+r51cf765qULpnGdu1Akb+xR4niJ5LVcoOec0kQZKE9XZZyhln0WghNUs6PQNAAAAAACOAbUJlb0eVXu3qBjkU9tw+eufq3v2HtUdjx/Wup5CfX2gN3leDLykQsm1Fvy85BO36MBoRZJUnmE+0uBIcmzrWlresPoRKAEAAAAA2q82rrJK01rP2u1v3nGWvrlrr569fa08S+Yqre9N7iHwTJGs5QqlLEySZq5QuvVXQzrjuLVNFUoM5cbqRcsbAAAAAKD9ahMad0VtXlOa/9xltLm/pEvPPVVmpp6CL0ka6EsqlAq+p8jZgmYoZbJh35mJaqRdjx/Wq87YqlIh+alNhRJWMwIlAAAAAEDbudq4hsNAm9fmW6E0k6zlrT6UewG7vGWmDuc+OlFTFDudsKFPRT/5qc0MJaxmBEoAAAAAgLY7cPiIhsOCnvuMgY7dQxYCNQIlT+EiK5QmpgRK2Xv3Fj0FviffM1resKoRKAEAAAAA2i6uJjOULn3lqZ27B5c8bk7nOAX1CqWFVxKVa5Gcc/XXWcDUm7bVlQKPljesagRKAAAAAIC2C6KyoqBHnmcdu4f+UrIv1bmnb5W0tAql2EnVqBEYZYFSKQ2UioFHyxtWNXZ5AwAAAAC0XRCXVbWejt7Dje97uXoKfn04dz1QWsQMJSkZzF0KkvcqV6dXKFVqBEpYvQiUAAAAAABtV4zLqnqdDZRO2Ng36XXBN9Wc11KFUhy7aWvlWlSfxzS15a0YeJMqmIDVhpY3AAAAAEDbFeKKah0OlKYKFlChNFM4lA3ivuHefXrXVbskSb3FrELJZyg3VjUCJQAAAABAe0U1BQoVdlmgVPQ91WJLhnK76RVIzWYKlLKqpGt/8WR9jaHcOFYQKAEAAAAA2qs2LkkK/e4KlArZLm/SvDu9zTQPqTzDWg9DuXGMIFACAAAAALRXbUKSFHVZoBT4nmou3XVunjlKzRVKRT/5KT1RnX5NTyE5xlBurHYESgAAAACA9korlCK/t8M3Mlm95U2ad45SpdY4XgySn9LlGWYk9RSaZigxlBurGIESAAAAAKC90gql2C91+EYmCzxrBEoLqFAqZYFSWqHUPH2pkFYvFQNvUggFrDYESgAAAACA9krDGgsKHb6RyQqBp1p9htJ8FUpJoNRX9PXnb36hpEaF0kzBEUO5sdoRKAEAAAAA2isNa3w/6PCNTFbwTNUs82mxQulv3nGWnr19nSRpIr346ERt2vkM5cZqR6AEAAAAAGivdAc1z/M7fCOTFXxPkRa2y1vR9+qDt8tpZdLwDIFSKfAJlLCqESgBAAAAANrLJVOGgqC7AqXA9xRnP4vnrVBKjpcKfn3w9kQaKE2rUHJO62xc1RmGdgOrBYESAAAAAKC90uof3+uun6AF35oqlFqboVT0PZUCT2ZJhVIcO42lw7mzyiVd+Rp9+O5Xq0KghFWsuxpYAQAAAACrTxYo+d1VobSQlrdshlKp4MnM1BP4mqhG9ba2//Lq0/R/vPJU6fBj0pM/kySFYSjnnMysbX8D0CkESgAAAACA9oq7dCj3AlremiuUJKm36OtL//yo9gyNSpLWlAIVfE8aP9h4f4WqRU7FgEAJq0931RsCAAAAAFadOA1rgi6rUAp8U+Raa3nbe2RCUhIkSVJPkFz3w4eGJCVDuCVJlZH6NUWFtL1h1SJQAgAAAAC0VZgOtPa6rELJOddoeYtnb3mrhJG+9JNHdO7pW7S5vyRJitJB45lSGjA1B0qBInZ6w6rVUqBkZlea2aCZ3de0ttHMbjazh9PHDem6mdnnzWy3md1jZi9uuubi9PyHzezipvWzzOze9JrPGw2mAAAAALBqZIFSoct2eXvs4Hij5W2OCqXhiVDj1UjnnbG1vjY1KMp2flNltL5WUKgqgRJWqVYrlL4s6YIpa5dJusU5t1PSLelrSXqtpJ3pv0skXSElAZSkyyW9TNJLJV2ehVDpOZc0XTf1swAAAAAAK1QYhpIkv8sCpd8756SmCqXZA6VyLdvFrXH/2UylzEwVSgULqVDCqtVSoOScu1XSoSnLF0q6Kn1+laQ3NK1/xSVul7TezLZLeo2km51zh5xzhyXdLOmC9Ng659xtzjkn6StN7wUAAAAAWOGyQKnbZigdv75X555xXPJijgqlGQOlKbORSoUsUBqurxWpUMIqtpQZStucc/skKX3Mav+Ol/Rk03l707W51vfOsD6NmV1iZrvMbNfQ0NASbh0AAAAAkJcwDVW6LVCSJC+7pzkqlCbSQKm3KVCKJ49Qamp5a6pQYig3VrF2DOWeaf6RW8T69EXnvuicO9s5d/aWLVuWcIsAAAAAgLyEcVqhFHTXUG5J8tNB4W7OlrckEGuuUJqqFHjSIz+SfvrZ+hpDubGaLSVQ2p+2qyl9HEzX90o6oem8HZKemmd9xwzrAAAAAIAV7ocPDeryf7xXklTswkApq5qKonDWc+oVSsXZf0KXAl+64f+atEbLG1azpQRK10vKdmq7WNJ3mtYvSnd7O0fS0bQl7iZJrzazDekw7ldLuik9NmJm56S7u13U9F4AAAAAgBXsg9+4W17ahHLS5rUdvpvp/DTkqoWzB0ozzVCaqhR4Us/ApLWCkt3huskdjx/SeX/xIw2Xa52+FaxwLQVKZnaNpNsknW5me83sXZI+Kel8M3tY0vnpa0m6QdIjknZL+ltJ/1mSnHOHJP2ZpF+k//40XZOkSyV9Kb1mj6Qbl/6nAQAAAAA6bV1PIEsDpW0DvR2+m+mylrewNnvAMlOgdO0l52hNsfF6prCpYKHGq7MHVZ3w0W/fpz1DY7pv79FO3wpWuJbqDZ1zb5/l0HkznOskvWeW97lS0pUzrO+S9LxW7gUAAAAAsHLUIidfSduX53XfUO5WKpQmqtOHcr/smZt02WvP0Me+c7+ktELpaLoP1ebTpAO/UkFR/dpu8fRwWZJ0YKza4TvBSteOodwAAAAAAKhci/TU0QltX1dIFqz7foIGWYXSIlre+oqNGo2S1aSRfdK5H5He+CVJScvbWBcFShPVSEfGk0qsp45MdPhusNJ137cZAAAAALAqDI1U5Jz075+9NVno4gqluQKliXSXt94pgdKaUuN1KRxNnvRtlPyipHSGUqV7Wt5+9NBg/TmBEpaq+0bsAwAAAABWhWzwc29gyYJZB+9mZoUWAqWsQqkUTK7JWNdbqD/340ryJOipB0q9XtxVFUo/fGhQ6/sK2tJfIlDCkhEoAQAAAADaYqSchDR9hSxQ6r4mmaCQ/CyOorkDpVLgyfMmB2I7tzbtWhemM4mCHslPgqb+QtxVQ7kPjlZ1/PpebVlbqs9SAhar+77NAAAAAIBVIQuUGhVK3fcTNEjDn7lb3iL1Fqe3621ZW2q8CNOAJijWK5T6fKexSv4VSnHsNFKevmvdSDlUfynQhr6ijk7Mvqsd0Iru+zYDAAAAAFaFLNToyXpjujFQClqrUOoJ5pn/FDa1vHlJSLUmiDpSofQ/frhbz//493Royk5uw+Wa1vYUNNBbqA/nBhaLljcAAAAAQFtkFUo99Qql7hvKXSi0UqEUz1ihJElX/O6L9ejBMSncnywEpXrLW6+fzFA6Ml7VRC3S9oHe5b35WVx/91OSkqHoG9cU6+sj5VDregKt7ytopBwqjGIFfveFfFgZCJQAAAAAAG1Rr1Dyu7flzU8rj6J5hnJPHcidee3ztydP9jyRPDYN5e7zY41XQr3y0z/S0YmaHvvk65bvxueQjXqKnZu0PloJtbYn0EA6THy4HE4KnICF6L5vMwAAAABgVRgphyoFngIvDTa6MFAqztfyFlb0/OEfzxooSZJqZene65LnfrFRoeRFGqtGuc8r8tLd9CZqkeLY6Tt3/ZuqYZwGSgWt70vu78h4da63AebUfd9mAAAAAMCqMFxOAgzFcbLQhYFSECQVOrMGSjd+SH944E/13Pjh2d/k+vdKd12dvmGP5PmS+er1J+/y5qZUDLWLZYFSNdLVP3tc7/v6XfrKbY8pip36ewKt703+5iMM5sYSdN+3GQAAAACwKoyUa1rXE0guC5Ssszc0g0IhrVAKZ9mN7VfflSRttKONtWwAtyRVx6R7v9l4HaQ7v/kF9XiTq5PGq3Ps+FYZlcYPLejeZ5O1vI1VQv3gwUFJ0v7hZBe6tT2BBtIKpQf2DWswXQcWikAJAAAAANAWI+VkZk8jUOq+n6DZUO44nqFCKY6lkX2SpK3uYLJ259XSf90q3Xx58vrGD02+JuhJHv2idqwLJu2mNlyeoyLob18lfeqURf0NU2Utb+PVSLsHRyVJjx4Yl6Sk5S2dofTRb9+nV376R8vymTj2dN+3GQAAAACwKkxUo2R3tCxQ8rpvl7diWqEUz9TydvjR+tMt8VDyZM8Pkse9u5LHJ38++Zp6oFTQKRuKSaCWGp6YffC3DvwqeayOtXzvs8kKwUYroQ6MJtVUuwdHJCUVSpv6S/VzJ2pzVE0BcyBQAgAAAAC0RS2OVQz8rq5Q6ikm84SqtZq0+xbp8y+Wbr8iObjv7vp5m+K0QmnfPcnj8N6k9e3gbuk5FzbeMJ3JJL8oL67Wd1ST1Npw7sEHFv23ZLIZSkMjFZVryX/7xw4mFUrr0l3e1pbY9B1L033fZgAAAADAqlCLYhU8k1xaBdOFgZLvJ8HKswZvkr71+9KhPdLd10g//bx0659LXqAH7Fk6Y3yX9M13JgGSJB1+TLr295K/7YRzGm/YVKGkqKb+UiDJ6YrCZ3Tqjf9Rqo43zr3po9I935Sah3V/9T8ku8Ytg0cOTK922j7QK0n65qX/rr7WPDgcaFX3fZsBAAAAAKtCLXQq+F5XVyhl93Ti6D1SOR28ve9u6eaPSeMHpDPfoX+yV6jsr5X23y9te6704ouS8x7+nvSMF0unX9B4Py+t/OlZL40fVF/R14k2qNf6v9CmwdsUDT6UHB8dlG77H9I/vFuqjjaurwxLRx5f0p9UDZP/3v/r7qckSadvWytJ8j3TceuSwOuM49bpM299oSTp6aMM5sbCdeG3GQAAAACwGtSiWIWgywOlueY6ve0a6fWf1Vfda/WF5/y99N5fSJf+VDrllcnxE86RLvmhtKFpmHY2wGjgBOnoXq0pBXqONQKiA/+2J3ny8M2Na0b2J48veGvyuMTd3spT5iKde/oWSVIUO3leY6e949Yl1UoESliMLvw2AwAAAABWg1ocq+Bbo6XLum8ot4JeDXpbG69f/zmp2C9tPk16xpmSkoqfYtD08/mElyWP5/1J8miNkKZuYIc0+EudWb1Tfxxc2/i4wXuk2/9a2nVl49yffjZ53HJG8jixtEBpojo5UDrv2dtmPG/L2mQ491A6uBtYCKZwAQAAAADaohY6FbzmCqUZgpdO8wP98fFX69aHB+Xk6bGzXiedeVFyr+n9VqM4ad3LrD9B+vjRud934HhJ0gf2f0jypAe9Z+nk6HFtuuNzjXPWPkMaG5Tu/Krkl6QT01lMS6xQmrpz25knrpckvea5k4OlvmIS8E0NoIBWECgBAAAAANoiaXkzKY4kWXcGSpIC35NrbuDxGs+j2CmK3eQKpVb0Tw5v/vLEv9KHHrlYp9q+xuIzXyn91mekqJoESnG6C9zE4YX+CZNkgdL6voJ+8MFzVfA93fUn56u3OLlCrKeQvJ7aIge0gpY3AAAAAEBb1Ct7XNyd85NS1Sie9VgtPbbgQGnjqfWn34/OVH9fSY+645KFF7wteTzpf5MKvVLPgFToSVrtvMKSWt6i2KkaxnrPq07Vzz5ynjauKUqS1vcVVQomB0q9WaAUzv73A7Pp3m80AAAAAGBFCyO3IgKl2hyBUiUNW4r+Au//hJdIf3SvPvas6/Se2vtUCnx9oPafdddrviVd+AXpj+7Vu+85Qx+//v7GNWZS38ZFt7zVolhj1VCStK6nMC1AmqqUhmS0vGExaHkDAAAAALRFLcqGcnd3oBRGbtZj77/2LkktVCi98jKpMjx5bf2JGiseUkUV+Z40rDU6tOEFkh9I60/U9x+8V9KQPnTBGY12tN6Ni65Q2vnRG3Xypj5J0rO29s97vueZioGnckighIUjUAIAAAAALDvnnMI4rVCKY8nrwh3eUn2lmX8aO+f0gwcHJbVQofSqD8+4HHjJ3Cg/G/CdVjw51wixbn/0oF51errTXN9GaXzhM5SyKqvHDo7L90wvPWVjS9f1FnyVqVDCInRvRAwAAAAAWLFqadXPSmh5+/M3vUBSI/zJNM9WWvAMpVS2O5yfDvqupv9dKk1zix4/MNa4oHfDoiqUxptCoecdP6C1PYWWruspeCrXmKGEhevebzQAAAAAYMXKKmZWQsvb1nU9et95OxXGTnHcqBxqDn0WGyh94PzT9MYX79BbXrJDUqNCabhcq5/z+KHxxgWLnKHUvFPb5976opav6yn4tLxhUbr3Gw0AAAAAWLEagVJWoWTzXNFZWWDUXJVUaarcWfBQ7tSm/pL+4i0v1EBvUjGU/XcZKYf1c5442BQoZTOU3OxznWaSDdb+y7e8UCdvXtPydb0FX2OVSN++c++kUAqYDzOUAAAAAADLLgtmghXQ8iY1djyrRrF6Cr7e9sXbdNLGRjBTWGSFUiYLpLIKpdE0UCr6nnYPjSqOnTwv3eUtqkrVMak0/2DtzEQaBvUWFjarqlTwdeuvhvT9B/bre/fv1xW/d9aCrsexq7u/0QAAAACAFSnbOa1Yb3nr3qHcUlOFUhr43P7IIV2768n68dIiK5QyWSA1tULpt164XY8fHNefXH9fMqi7Nx2mvcA5Slmg1FNc2H/nnsCrh3833vf0gq7FsY1ACQAAAACw7Ka3vHX3z8/mCqLmOUqZ5apQyuYyjVaSGUrv/vVn6s1n7dDVtz+hO588klQoSdJtX5Ae/n7L75/t1LbQCqXeKQEUbW9oVXd/owEAAAAAK1KtueUtjro/UGqqUBqfIVSphUvbCS0LlLL/LsNphdLankDvedWzJEm7B0cbFUo/+2vpa29s+f0X2/LWE0w+f3C4sqDrcezq7m80AAAAAGBFqoZTW966++dn81Du0aaB2Zmx6tIqdzzPFHhWb6nLWt7W9RS0Y0OvCr5pz9Boo0JpgeqB0kJb3gqT/3fZP1Je1Ofj2NPd32gAAAAAwIoUxs0tb677A6WmlresHS2zub+kl+/cvOTPKPiehss13f3kkXpotabkK/A9nbRpjR4ZGpPWHS+t2ZpcsOOlLb/3xCJb3nrS89eWkj27sgql7/9yv268d9+C3gvHlu7+RgMAAAAAVqRpM5S87v75mVUoVcK4Xj2U+Z/vfEk9eFnqZ1x9+xO68As/1d7D41pTTMIkSTpl8xo9diDd2e2//Eo6+eWS1/rG7Nnso4XeZ3b+c49fJ0naP5xUKL37K7t06df+dUHvhWNLd3+jAQAAAAArUtbyFqy0lrcw1mhlcqBUKizPvReadorbe3hC6/uK9dfb1pU0NJrOLzKT/IIU16a+xawW2/L2+MExSdLvvHjH/8/efYfJWdb7H3/f02d7301vJCGNJBBqAEEgNBFRRDp4RD0KHo8NxfKTY0UFPccuqIBio1iQXqUKJBASUkhfUja72d5mZqc9vz+eqbuzSbYku8l+XteVa+a5nzrLJtc1H77398bjdKQCpaT24P4/g4wto/tvtIiIiIiIiBySklPePE4HWKO/Kbc3o4dSd69AyeMcnmf3ZqwUt6stSEmeO7VdUeClLRBJVXbhcEMsvN/XDobt83wDXI3uE6cdweXHT+YDR09kakWe3ccpw9q69gFdT8aO0f03WkRERERERA5Jfaa8jfJAyeO0K3vCOaa8DV+Fkkm9r+sVKJUXeAFo6U6ESE43xPo2B89kWRZPr28gGosTjMTwOB2pKXT767hpZXznogU4HYZZ1YW8Xd+Zmj4HsGVP117OlrFsdP+NFhERERERkUPSYTXlzTX0/kmZ9wCIxi1K/Okpb5UF9vvGzsS0N+e+K5SeeXsPH7l7Bbe/sJVQJDbg6W69HVlTyM7WIDtaAqmxjhwr3o0W8bjFJb/8N79/5Z2RfpQxaXT/jRYREREREZFDSkNHiFAklqpQ8hwqFUqpKW+x1ApsvfcNVTRuZW0X95ryBtCU7KPk9Oyzh1Jdu93vaEdLkEA4im8vlVQ3Pn8jD2x8YK/Xm1VdCMAr21pSYx2juIdSdzjKa7UtfO3va2gL7P/0QBke+98yXkRERERERGQvLMvi+O88DcBRE4uBzClvw1Plc6D0rlDyuByEo3Yo5h2mQGlrY3fWdok/V6CUCEYcbojtPcyJJkI7l8OwsaGbCSX+nMfFrTiPbnuUR7c9ygdmfaDf600szQPgibX1qbGO0OgNlILh9NS8Rd94kq+eP4frTpk+gk80tozuiFhEREREREQOGakwBFi9027m7HIaiI/+CiW3w+5vFI1bBMIxCrzp+guXw/R32pBkNeUu7F2htO9AKdnrKRq3eGtXO0dPLs15XHtPurF23Ir3e71kIPXCpiYA8jxOOoKjd8pbICNQAvjWw+v5/H2raE7+DOWAGt1/o0VEREREROSQsbM10GesyO9OVCgdmFBmuDiTgVLMDpT87nRFlRmmZz+iqiBrO7OHUr7Hic/toGkAPZSS4dPy2hbC0TiL+wmUmoPNqffbO7b3e70ifzpEu/rEKRxZUziqK5R6B0oOA/e/vpMXNzeN0BONLQqUREREREREZFjsbA32GSfLFIkAACAASURBVCvyuQ+JHkrJ1dEisTjBSHTIDa5zeehTJ7PuG2entiuLvKn3xhjK8700p1Z580B879VByQbemxMrsc2oys95XEso3ROpMdjY7/Uyg7OPnjKdIr97VPdQCkayfz53ffg4gD5N1eXAGN1/o0VEREREROSQkStQAg6JQMnttMOUWGLKW94BCJR8bid5nnQV0BGV2RVLFYXe9JQ3h2u/K5RS5xd4cx7XHEpXKHWFu/brWSeW+inyuQ/aKm/BaBDLsvZ9YIbeFUpTyu0eUN0KlA6K0f03WkRERERERA4Zu9oCGAMnzSgHMnoPWXFwjO6m3M5ePZT8bic3njOb02dXHrB79m6iXVngSVUd4fTYgdJeQpaGjnSg5HQYSvM8OY/LnPLWFdl7oHTntcfyrffNxxhDkd91UCqUdnXt4rg/HMdfN/11QOf1DpTGl/gxhj6r9MmBoUBJREREREREhkVjZw8zqwq45f1HAYmG3HBoVCg50lPeAuEoeR4nnzztCO5MTKM6EBy9mn1XFHjTjc2diYbd8ezQZEPLBj7z7GcIRcLsbk9XhJXle3A6DLF4jM/+67Osblyd2pdZodQdsVeaW16/nP9+9r+JZDT+/sa/vwF5a7nyhCkEo0FeC95CsOzXRGN2QPPw1of53mvfG/oH76W2vRaAJ955YkDnBXsFSm6ng3yPi66eWD9nyHBy7fsQERERERERkX1r6gpTUeClKtEb6JIlk+wdVmzUB0oOh8FhMqe8Hbivy1edMIUCX9/r24FSD39+bTuXJgOlWBic6WO/9tLXWN+yngt3vUUkZjFnXBHrd3fQE7FDlD2BPTz5zpOs2rOKpy95GrArlIq9xbT3tPPtV7/Nrq5d3LX2LgDebHyTY2uOZVfXLu7beB/3bbyPR9//KA9ueZDd4dU4C2BX5x6aenbzpRe+BMCNx944bI3KAQz2tYY65Q2gwOuiq2f09n06nChQEhERERERkWHR1NXDURNL8LmdvP7VMyn2J0IRyxr1gRKAy+EgErMIhmMHpCl30jffNz/nePKeX/rrW1z63mSFUnY44jT2MXXtnQCcN7+G9bs7Ur2Oolb2K9hNucflj6O9px0gFSYB3PLaLdyw6Ab+69n/So1d8LcLss7/+apf8Ejt31Pbt6++nRPGn8DCyoX7/6H3JlnIxkADJfsZHQa8Lvvnku910q0KpYNi9P+NFhERERERkVGtuydKbVM3zV1hKgrsPj7lBd7UymmHwpQ3sKfoRWPxA9aUe18uWjwBgBmV+XYPJYBYr0Ap0YvqndYmAM6YUw2k+1UFIgEAIhlBVHOwmXJfedZ1lk1ZxoKKBWxs3civVv8qa1+Rt4g7lt3BeyZ8AoDtHdspcBfw4fkfBuCnb/6ULz7/xaF92ExW8mVggVJyytvqm89m5f87C4ACn5tONeU+KEb/32gREREREREZ1a7/4xucduu/6OqJ5l5pzIrDME6ROlBcDkM0fuArlPozvsTP+QvG2RupKW+5K5RW767D6TBMq8jn/y5dxIM3nAzYq6UBROPpUKU51Ey5PztQqsqr4sfv/jEAHeGOrH0TCydywrgTmFg4MXF+E8XeYpZNWZY6JhIfvmlloVgIGMSUt0gMt9NQ4HXhc9s/lwKvU6u8HSQKlERERERERGRI/r0l3fS5st9AaXSv8gbgcjroicYIx+LkuUemQ4zX7SAUiWcESuGs/ckKpdd37OSqE6bg9zi5cNEE5o4vAtIVSrFEM2/LsnJWKFXlVVHsLc46J6nAXQBAqd9+betpIc+dR3VedeqYSGz4AqVw4jMOpkLJ787+vSrwurTK20GiQElERERERESGJLMqqbwgx9L18dHflBvsCqVkL6KRmPIGdi+gnmg8PeUtnh2OJIMc4+pm0aQSABbcvYCbX74ZyKhQSvRA6op0EY6HKfOVZV2nKq8Kt8ON3+Wntac1a18yUCpPBErBWBf5rvysKqfkffalKdjEgrsX8M8t/0yNffqZT3PcH9Kr5+WqUIpbcRbcvYCfrvxpv9e2V+PLDv7yvS66BlCh9NyO51hw9wJ2dOzY73PENvr/RouIiIiIiMioVlGYDpRmVRf2PeAQ6aHkdjp4ePVugBGZ8gbgczvsFdsciaCkV4VSZ9huxm2c3ewKrWVDywYAHtj0AACBqF1tFLfigN2QG+gz5S0ZGhV5ilLHpvZ5EoFSfvq/Zb47H4dxcNc5d/HBWR8kFAv1OS+Xbe3bsp4P4Jkdz2QFUj3RHiC7QqknZo/d8dYd/V47V6+rQq+LzkgrzcFmVu5ZSSgayn1uJMADGx/g4a0PA7C8Yfk+P4tk0ypvIiIiIiIiMiRlee7U+0lleX0POEQCJacj3efJ4xyZ5+1ToZScWhbqAHdeqt+RcXbzy42f45cbs8/vPX1tT2APABX+CiYVTmJHp12Jk+yPVOgppCHQkHVOvjvfPievoM/YMdXHsKpxFQDffmQVHqefL55z5D4/1976IyXDo8xjkkGQof/eW+3BCMUZv3sAJXkerMk3c9q99vbHj/o4Nyy+oc+51z52Letb1jO7dDaQDupk/ylQEhERERERkSGJxu0g4PhpZbkPOEQCJZczHV5khksHk8/tIByLEzMunGAHSpYFt0yChZelK5TcrTnPz6z8iVtx6rrqAJhQMIH7LriPYDRIMBJkUtEkwK5Q6i1ZvVTiy65QSvK7/AD8ecUWqvMr8LmcvLmjlWOnlfHJ047IutbeAqGkVKCUo0LJ7KWZe0t3mJoiX9bY5AoH1KW3t3du73NeLB5jfct6AByJ38vejcll3wb9N9oYM9sY82bGnw5jzH8bY242xuzKGD8v45ybjDGbjTEbjDFnZ4yfkxjbbIz50lA/lIiIiIiIiBw8oUiMhZNK+P1Hjs99gGWBY/Q35XY77K/IU8vzuHDR+BF5Bq/L/jlFTaL+452XoLUWgPCqP6X6DTl9DblOT015A+jo6aCuqw6DoSa/hnx3vl2plAiTwK5Q6i3PZVeZ+d3+1FiuQCkQDbK1qZsfPbWRtXUdfP+xDWze05V1rZgVy96Op7eTK9ElP1PmsclgLDOQ+ueWf3LdE9elKpkazGOsNP/FM9ufST9bfrpBPKQrtJLqu+s5+c8np7a7Ivbztve09/4xyD4MOlCyLGuDZVmLLMtaBBwDBIC/JXb/KLnPsqxHAIwxc4FLgXnAOcDPjTFOY4wT+BlwLjAXuCxxrIiIiIiIiBwCgpEY5fkePK5eXzEf/hx8ZyI0rDkkKpSSVUmnza7CNUJT3nxu+77heCKAe/JrcO/VAMSM4co5V7Ko7NSc51qWlTXlbV3zOnZ17aIyrxKPM0ezdHJXKLkS/Zs8Dg9Y9s/E60yHS8lAyZj0Sm8PfepkXA7D31fuoinYlAqLelcfJXs6Ze5LrvKW7KUEfae8WZbFl1/8Mq/ufpWmYBMAQecmInTx0q6XUudt6nw167P0DpTuWXdPKkQCUtfqPe0vOS79G66/IWcAWyzLemcvx1wI/NmyrB7LsrYBm4HjEn82W5a11bKsMPDnxLEiIiIiIiJyCMi1fDs9XbDyHqieCyd8Ek761Mg83AC4E1PevL2DsYMoWaEUzuxQU78aAL9l8cXjvsjxFefnPPf1htfZE9iD3+XHaZy8VPcSdd11TCiY0O/9clUoJaeBGWNSU852NqcbcCcDJa/HDo3K8j1UFfmoLPSwvnU1p997Ohf94yIsy0oFQ5Zl0d7Tzqv16cAnWYWUPCZZqZT5Pnn/XV27Uvu2tm8lGI4Rxw6gtnVsSx3z6zXZTbx3dO7g6kev5vWG1wF4ftfzWfuTz/BW41u0hdoAeHPPm5x+7+k8Xvt4Pz81geELlC4F/pSxfYMxZrUx5rfGmNLE2AQgcx2+nYmx/sZFRERERETkEBCKxPElA6XbT4PX7oAfL4JoCM74OpzzHZh03F6vMRokK5RGMlBKVij1xHP0DjL2z7jMPSXnuR9+/MM8Wvso5b5yltQs4Xfrfsfy+uVMKcp9PEBlXiVg91g6eYI9FcxpMsNBu7KoO5gOuLpD9jMunWmHUcdMSXztz3+D13q+AUBtRy3/rvt3VoXStY9dy00v3JS6TjJISh6T2f8p+T4ZbrX1tKX23f7KK+xsDWAcdmVTciW5xkBjzs+4cs9Krn3sWp6ofSJ1bG/NoWYe3PIgAG81vQXAGw1v5DxWbEP+W2KM8QDvBe5LDP0CmAEsAnYDtyUPzXG6tZfxXPf6mDFmhTFmRWNj7l8UEREREREROXC2NwdYsyu730wwEsPvcUCwDepWwiOfh+5GqJwDk08coScdvD5T9w6iZDAXCSeqdfyl6Z1WDP7wQbwU0LXxK3x20dcBcDuyVzrzuXzceuqtqe33znhvv/c7d9q5gD3Fa2rRVICs6XHJqWqdQfu5LMti7U477Dljbik/vGQht12y0D7Yk/09/d6N92ZVHW1u25y1vzvSzWee/UyqeigZMEH29LfksUmvNN/LJx/7GiQCpaZgE5f88xJWNKwAYEn1EvtxKAHgtEmnAfC55z4HwP0X3M+rl7+aqrSaXTobl8NFc8juv5ScgudyuIjFY1z0j4v47qvf5dwHzuUHy3/Q94c4Rg3HKm/nAm9YltUAkHwFMMbcATyU2NwJTMo4byLp3uv9jWexLOt24HaAJUuW9L/moIiIiIiIiBwQp/7gWQBqb0lPuwpFElPeEs2jU979VXCM/t5JSbHEt8zktLORkKyOais/hikX/hzmvAdevws2PQm1L0AsQjhusGKFvHvSUvb0bOGS2Zdwx+o7yHfn097TzonjT6TEV8Kfzv8TT29/OhWw5DKhYAI3HXcT00umM7d8Lg7j4Pzp6f+2R5Qcwea2zYS7pgIw/cuPYNwN5M+A0gIo8m5nY1s9S2qW4Oz133pL25bUva0cdSPbOrbx1PanUtuZgVIyiEpWKGUGSg53B/U8jXGUMKv4KKaW1PDEO0/gc9krvhV7iwEwXcfy50s/wrzyedy99m5uXXErp0w4hVmlszDGkO/OJxgNkufOo9RbmqqCygyUtrVvY3Pb5lQY9rt1v+PaedemKrvGsuEIlC4jY7qbMWacZVm7E5sXAWsS7x8E/miM+SEwHpgJvIZdoTTTGDMN2IU9fe7yYXguERERERERGQaBcJTbntjIJ0+b0WefZVl2hZLbCa29phMVVB+kJxwe8bgdeoyGCqVQNA6Lr2D2Vx/losWnc8sF77Erv973C8Jv2WFLgcfPF4/7IgDfOeU7fa41v2I+8yvm7/Oel89JfwX/wrFfyNr3izN/wdf/sZH1DTHC0TiWBVh2RdTa5rXctfYuAF689EWcJj0BqdJfSUe4I12hlKMkpKOnI2s7HA8TiATIc+f1acqdDJSc5BMj8d4ZYn7lbL5+0ld58ndPsrvbjiKSK9KFwhbzyucBcM28a1g6filTiqek+jLlu/NpCjbhd/kp8ZWkeiglG4cHo0HWNNuRxtlTzqXYW8K9G/9EY7BRgRJDnPJmjMkDzgL+mjH8fWPMW8aY1cDpwGcALMtaC9wLrAMeA663LCtmWVYUuAF4HFgP3Js4VkREREREREaBp9bv4TcvbuPz962iklYAIjG7SXNPImTweZywsVcT44Kqg/2oQxJLBEoj25Q70UMpmv75/nn5DiifAVf9DQprCCf2HYzgqya/hiMra9jZGuAvy7fbg3F7StwTtU+kjtvYujGrQml8wXg6w52p/kgxK9bn2rlWUtvYuhFI91DqHSjFI+lV6SxHiGJfAQ7joMBdQH13PZAOlMKxeOq/KcARpUdkTQ/Mc+WlXku8JakKpeTUt45wB2ub1pLnyuOJ597NQy/bAWlzsLnfn9dYMqTfPsuyApZllVuW1Z4xdpVlWQssyzrKsqz3ZlQrYVnWty3LmmFZ1mzLsh7NGH/EsqxZiX3fHsoziYiIiIiIyPDavMdeZr1i2z9Z7ruexWYTbQF7yfhQxA4KJgXWw6o/ZZ94iAVKcWsUVShFYqnQrrdw7OAFSgDXnDQVj8vB1/5h137Mqa7EaZzUdddR4a8AYEPLBowjkjpnfP54IvEI7T12XJAMljI1BtM9l6YVTwPgzjV3cvfau9OVTYmip2SgFOnJXpUu2Qcpc7W6cfnjALDifrp6ov1+rmTw5Hf5swKlZNDV3tPO2ua1lLun0xGMsafNk9q/qXUT/9rxL2LxvkHZWHHoTGYVERERERGREbF+tz016XjrTQDmOWppC9h9ZoKJQKk6sMk++PJ70ye6/QfvIYdBMlAaDT2UeqJx2oORnMckq5c8zoPzlb4s38MfrjshtX3TuQu4Y9kdfGvpt/jt2b+lzFfGhtYN4Eiv0lZTUAOkV17LXMEtqSmQrlCaWz6XQk8hz+x4hltX3JrVTwnsQMngwIpmB0rJKqMir1255Ha4uXLulZxV/VEiLSfuNVDKc+elXpOBUjgWZmv7VsCuRHq75W227CwDwIoWAFDXXcdlD1/Gp575FM/ueLbf6x/uFCiJiIiIiIjIXm1s6ATAYAcZFaadlu5EoBS2A6XS0HZw+eCIs0bmIYfBaJjyllmh1F+gFI7G8TgdqV5AB8OccekgpzTPw7E1x3LhERcyrXgakwonUd9dj2XSIdD4/PFAugqpd0AE2VPeKv2V3HzizamKo+S+aNwOhALRAC7jw23ysq7Ru0Ip352P2+HmzAkfBFx0hnL/DAHyXdkVSi2hFi59+FLae9op9hazvmU9kXiEWHAiCyeVkJ8ISH+56pepiqvfr/s9//nkf3Ljczfu9ed3OBqOptwiIiIiIiJyGGvs7KHI52Ji3P6SP93sprVXhVJxdy2UzbBXdfuvldDTOVKPO2jJdjujYcpbcF+B0kF+xjxPOj4o9ruz9pX7ytneuR3L5KeabyennSWDoX1NeavwV7Bs6jJ6Yj18+cUvs6trF2AHUZZl0RXuwomPuPGTOcksWWVU6E4HSgCFPvt5u0L9VyidN/082sPtnD7pdJbXLwfsAOsDMz+Ay+HiLxv+gptC8l1zedesSlbtaCMZq50//XwCkQDP7ngWl8PFedPO6/c+hysFSiIiIiIiIpJbqJ34r07j36Yep3GQZ+w+Nuc5XiX+92PhIQez4xarvFGK6kNw5Hvs88qmj+BDD95oqFBKBSE90f4DpVhsREOvkrxegZK/nDcb38QiPVWw1FcKpKe8dUW6+lwns0Kp3F+e9VrXVQeAhUU0HiUQDeDEhzFeMifPJae8JSuUkgFTgdf+OXbuJVA6bdJpnDbpNAAmF02m0FPIh2Z/CKfDyda2reS783n8tfFUVtRQlPjvcsWR1+B2Gj635HNsaNnAtOJpvGf6e5hZOrPf+xyuFCiJiIiIiIhIbp31OFq3sjK+EEf5EWze081GayKzzQ6OnljKwokl7GkL8vjaes6dO46ak68Z6ScekmSgNJJhjdflwOUwdIWidOxjyttISYY1SeX+clpDrRQ40j2zijx2T6NwPJzzGh6HJ2tfsrl3uc8OlGo7alP7QrGQ3UPJ8uHq9bmTU96SPZSS09gKfXbo1bmXHkqZKvwVXD7n8tT29JLpfOaYz/D7R57k6Pl5qc989ezrGV9i33N22Wxml83er+sfjhQoiYiIiIiISG6JFaz+EjuN+Quu5gePb0jt+uSkGSw850jWrmvgf1atYMnSk6mZUDxSTzosrFHQlNsYQ4HPRVdPNLWSntOR3StpJKa8gT3VrT0Y6dO7qdxXjoVFZ3wXVk81P1x2Y9aqa07jJGZlr4a2qGoRr9W/lr62x/7dSVYogR3yNAWbeHDLg7xc9zIF1hzczux7p6a8Je7nc/nsbV+yQqn/Hkr9ae7q4T/uXsEnT5tBS3eYyWV5FGRUjolNTblFREREREQkt0QIEMfB9Ir81LDX5Uj1Tkq++j2H/tfLmDXyFUpghyGdofSUt2Q10s//tZlbHn2bcGxkAqWnPvsuHv30KX3GM0OgcNMylk1dRqmvlGVTljG/fD6fW/K5rOOXTljKieNPzBqrybdXhSv1lqbGrphzBQC3vHYL4/LHURA5BndGhdIJ405gerE9vfKk8SexsHIh5047F0gHSt979G2isfiAPueGhk5W7Wjj479/HcAOlPZjCt1YowolERERERERyS1RoRTDwfTKgtRwsd+dWt0tlHhNNpM+lCVzh5HsoQRQ4HXTGYqmVtKLxu0H+/5jdoXYmXOqRmTKW2Whl8pCb5/xZCPsKs9stnTMIxa3cDoc3HbabaljSrwlrGtex7XzrqXMX0Z7TzuNgUaW1CzhxHEnUuCxf7+cDidLJyzl6Kqjed8R76Mx0MiMkhm8f+b7uehnr1BY2EoDf+X+C+7Pmm62sHIh95x3T2rbn/h97AhFeWN7G8dNK9vvz5msDEuaVpFPIGwHSapQSlOgJCIiIiIiIrlZ6UBpcll6uXa/x0kgGShFExVKh0GglJ7yNsIVSl4Xa+vaaeqyV0aLxCzeae5O7e8ZoSlv/VlUuYjzp59PWc+F/JwWwtE4fk/278MFMy7gghkXpLYr/BXcdPxNOa/3yzN/mXqfeUwwEmOyewJvXfHWPp/JGMN1J0/j1y9uY1tT14ACpeQKhkmzqwvZtMduKr63VePGmtHzGygiIiIiIiKjS6IyxuNy4fc4uey4yfz8iqPxu9OBUrJSqXeAcChKTnlzj2DDa7Cna+1uD/HmjrbU2KvbWlLvQ5GRXeWttzx3HreccgvlPnvaWjg6sClm+ysYjg2oEu6m8+bgcTrY2ti974MzZFYo+dwOHA6T0UNp4D2ZDleqUBIREREREZHcEhVK+X57mtN3378AgF+/sJVgxK7USPZQ8o1gI+vhku9x0RaI4OzV+Plg8+UI5+ragqn363d38q7ZlQfzkfZLMuTqicUA97BfPxSJDahXl9NhmFKex9amgQVKrd1h8jxOfnHlMUwttyvz1EOpLwVKIiIiIiIikluih1KB35M1nOdx0R1OB0pel13Fcai757rjeWpdA0W+4Q9DBqIjmK6CKfS66OyJUt8eSo119USZO65oJB5tr7yJyq4DVqEUiQ14auURVQWs390xoHNaAxFK8zy8a1Y6tEsGSuqhlDZ6auRERERERERkdElUKBX4shsx+z3OrKbch8N0N7CbL3/01Okj/Rg0dvak3rsS1VI7W4NZx8wZV3hQn2l/pCqUDkCgZFnWoAKlBROLqW0O0NarL9LetAXClORlh4pOhyHP41QPpQwKlERERERERCS3RIVSod+XNZzncaamug3mS77sXZHfDjPefWQVN55zJAAvbm7KOmbOKKxQSgZK331k/ZCuE49brKhtSTVJBzuksqzc0wH3ZtHEEgBW7Wzf73NaA2FK8zx9xgu8LlUoZVCgJCIiIiIiIjnFY4lAKS+7QikvY5W3YCSuQGmY/eSyxdz2wYX89tpjmVKeXl3PndHbaVyxfyQeba88iSlvT63fkxUGPb62nk/c8zoX/fwldrQE9nmdR9fUc/Ev/809r7yTGktWxOUN8Hdt/sRiAN7ej2lvwXCMnz6ziTe2t1FZ6O2zv8BnTz8UmwIlERERERERySnQY0+96h0o+d2u1Bf8YDiGV4HSsKou8vGBYyYCcPy0cpbNrQbSgc2kstEXJkH2VLdk8FLfHuIT97zOo2vqWbm9jTW7+q8UemFTI2/Xd7CrzQ6d7nq5NrUvWRE30OmVhV4XTofZr2baX39wDbc+sRGA8xaMy3ktTXlLU6AkIiIiIiIiOXUE7UCpOL/vlLdAOIplWfbKW259tTxQnA7Ddaek+zr96EMLeeATJ43gE/XvzLlVLJ5sTzHb3WY3Ed/eEiBuwTcvnAdAKBrLeW5DR4irfvMa5/zvC+xK9Itqz2hOnqyI8w0wvDTGkO9x7tdUtVe2tuB3O/nA0RM5PccqegU+TXnLpL/1IiIiIiIiklNXIBEo9eqh5Pc4iVt2RUowcvg05R6tJpfZ0966wzEuWjyRqkLfPs4YGV6Xk6+ePweAbU1ddIYi7G63w6HplQUABMN9G3Zvbw5w/HeeTm8npsW1BiKpqXPJptolOXob7Uuhz82qnW1saezq95hY3KKuLciHl07ltksW4nL2jUsKVKGURYGSiIiIiIiI5NQVSlYo9e2hBPZ0t45ghDyP66A/21hSlejnc+78mhF+kn2rSfR2+s973mDBzU9Q325XKk2tyAcgFOlboVTXnr2C3bMbGgE75OlIBDjN3XagVJ4/8EAp3+tk5fY2zrjtudRYJBbn3uU7iMXtwGp3e5Bo3GJSWV5/l6HA61aFUgYFSiIiIiIiIpJTV3LKW0HfKW8ATV09bGnsYk7N6FvC/nDicBhe+8oZ/O+li0b6UfapqtCLI907nO8++jZ5HmcqCMo15a0lERZlOm5qGZCuTEoeUzaIQKnA2zfw/PPyHdz4wOpU4++diWl2k0r7D5QKfS46Q5GssR0tAf7z969z/+s7U+HUWKEYWURERERERHLqDtlf4ntPeStLVCz9a0MjcQsWTy496M821ozWaW69uZ0OKgu9NHT0pMYC4RhelwNjIBTuGyg1daWPnTuuiP+9dBE7WgK8VttCayDClPKhBUr5OQKlQKLS6OsPrqXY705VTk0s7b/heYHX7qFkWRbG2KnZDx7fwGNr69na1MUHjp4w4Gc7lClQEhERERERkZy6ExVKLlf2V8fqIjtQenbDHgAWJJZmFwF72ltmoHTKzAqMMfhcTkLRvj2UGjvtYx+8YSlHTbSbeidXZWvNqFDK9zgH3JQb0hV1maIZ1UT//Zc3AfC6HHsPlHwu4pbdy6rA6yIai/PYmnquPnEKn3r3zFTINFZoypuIiIiIiIjkFOhJhAKO7C/k1UV2tUyyyXGJ331Qn0tGtwJv+vflo6dM485rjwXA53YQzFGh1NjZQ2WhNxUmAZTm2b9TmVPeSgdRnQRkTUVLvs+sikqaWOrP2Yw7af54oKVoHgAAIABJREFUOzi9b8UOwJ4mF47FmT++mMpCb7/nHa4UKImIiIiIiEhOySlvmOxAqTzfg8NAQ0cPbqfZ65dwGXtcDvv34Zvvm8+Xz5uT+v3wu505m3I3dvZQWZAdyJQmVnO7+cF1xOIWzd3hQTXkBns1wqQZX36E+1bs4M6XavscF4r0rZ7KtPSIcuZPKOKxNfUAbG2yA9UZVfmDeq5Dnf7Wi4iIiIiISE7BZKDUq0LJ5XRQkQgABjMFSQ5vbqc99asi35M1DczndhLsFShta+pmeW0Lk8qyp5oVJ6re2oMRNtR30tAeSv3ODVQklh0UfeH+1YDdj+msudWp8e9ffNRer2OMYWp5Pg0d9sp1Wxu7AZheUTCo5zrUKVASERERERGRnILh3BVKkJ725legJL2cOqsSgCnl2ZU7XrezTxXQvSt2EAjH+Or5c7PGHQ7D/f95IgAbGzrZuKcza0rcQIRz9G0CexrdtAr7GX/3H8ex9IiKfV6rushHQ0cPG+o7uf35rUwo8Q96Kt6hTk25RUREREREpI9ILE5POAJu+lQoQXq1LVUoSW9XnTCF02dXMaksL2vc73bQE41hWXYfI2MMr9e2Mm9CcZ9jAcaX2FVLD62uw7Lg+Ollg3qeWdWFvLG9rc/4ZcdN4rNnzWLe+CJOmbnvMAmgpshHMBLjgp++SGmem19fs2RQz3Q4UIWSiIiIiIiI9NHaHcZJorLD9P3qWJBYil0VStKbMSZnQORzOwmGY9x4/2pO/t6zRGJxVu1sY8mU0pzXqSr04jDw9Nt7KPS5WDRpcBVKN793HtedPC1r7OoTp/Cdixbgczu5cNGE/V6hrbrYrswLR+P84boTmDOuaFDPdDhQoCQiIiIiIiJZLMvif/65DkcyUMpRoZSfWMnL59bXStk/PreTFe+0ct/rO9nVFuSVrc30ROMcUZW7B5HL6aCq0IdlwRXHTxl0NZzP7eTMjF5JAOX53v0OkTIlm4eX5Xv6fe6xQn/zRUREREREJEtDRw8Pv7U7o0IpV6BkVyhpypvsL0evAOcb/1wHpKdP5lJT7MPtNHx46dQh3TvPk/17GktMuxuoGZV2z6WvnDdnSM9zOFAPJREREREREcnS1RMFwEniS3eOCqXklDevAiXZT9tb7FXRjp1ayuSyfB54YycA5XsJlK45aQqdoWiqCfxgxRO/yrOrCzl3QQ3/0WsK3P6qKvKx+dvn4nKqPkeBkoiIiIiIyBjW0h3mSw+s5hsXzqcm0R8mGSg59qNCyRpkpYeMPZv3dAFw2wcX0dTdkwqU9rZK2kWLJw7LvWdXFzK7upBvXzSfJVMH19w7SWGSTT8FERERERGRMewnz2ziiXUNqS/3AF0hO1B671GJvjM5eyjZgVJcgZLspw8cbYdDk8r8jC/2p8b3VqE0XPweJ49/5tQhh0mSpkBJRERERERkDEsup96ZCJEAunoiAJT5E0FSjlXeChOBUiyuQEn2zy0fOIp13zgbYwyVhd7UeJHPPYJPJYOlQElERERERGQM29kSAGBrY1dqLBkueZyWHSblWA0rX4GSDJDTYcjzuFLvkxyOga+2JiNPgZKIiIiIiMgYFYtbtAbCAGzOESh5HVbO/kkA+V57PKpASWRMUlNuERERERGRMaotECZuweSyPLY2dvPQ6jr2dPTw5g57GpzbYeXsnwTgS6zupgolGazbrzom1QBeDj0KlERERERERMaolm67OumzZ83iGw+t49E19Ty8ejcAPrcDJ/1XKLkS05QUKMlgLZtXM9KPIEOgKW8iIiIiIiJjVFOXHShVFXopy/fw9u6O1L5CnxvisX4rlErz7JW5jppYcuAfVERGHVUoiYiIiIiIjCF1bUFCkRjTKwtSFUrlBV6KfK7Uim8AjZ09YMVyrvAGMKksjwdvWMrsmsKD8twiMrooUBIRERERERlDrvzNq2xt7Ob7Fx9FKBIDoCzfQ7E/e+l2j9Ox1wolUHWSyFimQElERERERGSMCEfjbG3sBuDG+1dz0eIJOB2G0jw3RYlAyekw/OP6pVgWsPKxfnsoicjYph5KIiIiIiIiY8TaunYArjxhMgAPrqpjZlUBLqeDIp8dKNUU+Zg/oZgFE4v3WaEkImOXAiUREREREZExYvOeLgAuWjwBsFdomz+hGCA15W1yWV76BCuuCiURyUmBkoiIiIiIyBjRGrCbcM+sTjfSnj++CIAiv90RparImz4hHgOHvjaKSF/6l0FERERERGSMaOmO4HYaCr0uFk+2G2pfuMiuVrIs+5jSPE/6BCumCiURyUlNuUVERERERMaItkCY0jwPxhjuuvY4HA4oTPROag1EAHvFtxT1UBKRfihQEhERERERGSNausOpwKg4z52179qTprK2rp0rjp+cHlSFkoj0Q4GSiIiIiIjIGNGaqFDKpabYx+8/cnz2oCqURKQf6qEkIiIiIiIyRmRWKO0XrfImIv1QoCQiIiIiIjJGtAYilOa7931gklZ5E5F+aMqbiIiIiIjIGGBZFoFAN5WeWPaOWARCHeltYyCvLHGSeiiJSG4KlERERERERA53NxcTO+pyXvQ8RMVrHfAasPTT8NL/5T7+rG/Ck1+z30889qA9pogcOhQoiYiIiIiIHM5iEQBcq/9IhckYzwyTpr0LjnyP/f6Zb8G259P7VKEkIjkoUBIRERERETmcde7e9zEzz4LjP2a/X/l7aN2W3qdV3kQkB3VXExEREREROZy179r3MUUT0u+LJ0Lz5vS20ddGEelryP8yGGNqjTFvGWPeNMasSIyVGWOeNMZsSryWJsaNMebHxpjNxpjVxpijM65zTeL4TcaYa4b6XCIiIiIiIgJ07EegVDwx/T4zXAJVKIlITsMVNZ9uWdYiy7KWJLa/BDxtWdZM4OnENsC5wMzEn48BvwA7gAK+DhwPHAd8PRlCiYiIiIiIyABEglD7Ynq7fee+z8mqUOoVKKlCSURyOFD/MlwI3J14fzfwvozx31m2V4ASY8w44GzgScuyWizLagWeBM45QM8mIiIiIiJy+Hrk83DX+dC8xd7uakjt2hCfSLBqUd9zCqrT7wvHZ+8rHHcAHlJEDnXD0ZTbAp4wxljAryzLuh2otixrN4BlWbuNMVWJYycAOzLO3ZkY629cREREREREBqLuTfs10AzlM6CnEwrH8/cT7+OLD27iqQ+dxaTSPHu/vxSMyZ7W5i1Mv7/yAZh++sF9fhE5JAxHoLTUsqy6RGj0pDHm7b0ca3KMWXsZzz7ZmI9hT5Vj8uTJg3lWERERERGRsSHQbL+Gu8CTT5uVTw8e8n0ecDigoDL3ed6C9PviyeqhJCI5DXnKm2VZdYnXPcDfsHsgNSSmspF43ZM4fCcwKeP0iUDdXsZ73+t2y7KWWJa1pLKyn3/8RERERERExrTE/69PTnULd4O3gO5wDIB87z4CIk9++r3bdwCeT0QOB0MKlIwx+caYwuR7YBmwBngQSK7Udg3wj8T7B4GrE6u9nQC0J6bGPQ4sM8aUJppxL0uMiYiIiIiIHNYsy+KN7a3DeMG4/dqV+P/6PV3gKaC7J4rLYfA49/E10JMx5c3lH77nEpHDylArlKqBF40xq4DXgIcty3oMuAU4yxizCTgrsQ3wCLAV2AzcAXwSwLKsFuCbwPLEn28kxkRERERERA5rz7y9h/f//GXeru8YnguG2uzXVIVSJ3gKCIRj5HmcGJOr40iGzAoll3d4nklEDjtD6qFkWdZWYGGO8WbgjBzjFnB9P9f6LfDboTyPiIiIiIjIoWbNLjtIauzs4ciaIV4sHk9XJi3/NUw9GerfIlY+m5XbWynyu/d9jcweSm5VKIlIbkPuoSQiIiIiIiKDt3FPJwCdoejQLxbugngkvX3ftQCsboyyamc7n1s2a9/X8GQESs79CKBEZExSoCQiIiIiIjKCNtbbgVLXcARK0R779dzvg0k3336zIcp7F47nosUT930NreomIvtBgZKIiIiIiMgICUfjbGvqBqAjFNnH0fshGrRf3Xng9KSG22MeTp2llbJFZPgoUBIRERERERkhtc3dROMWMExT3pIVSi4fYKWGeywPCyYUD/36IiIJCpRERERERERGQDga5/P3rUptd4aiRGNxrrt7Bct+9BzhaHzgF42G7Ndeq7MVOXuYUZmf4wQRkcEZ0ipvIiIiIiIiMjgraltYvbMdgLJ8D39Zvp1TZ1Xw1PoGABq7ephQMsBV1pIVSr1WZ5vgj+Byqp5ARIaP/kUREREREREZAbvb7Wqis+ZW4zDQHY5x7Z3LU/tbusIDv2gk0UPJ5YWTPpUa3lm+dGDXKT8C/GUDv7+IjBkKlEREREREREZAfYcdKP3fpYtoyhEetQQGEShl9lA6/Sv0fHkPs3p+R2jqGQO7zvXL4QtbBn5/ERkzNOVNRERERERkBDR0hCjyucjz5P5a1tLdM/CLZvZQMoZ3WsOELRfTKwsGdh2Hag9EZO/0r4SIiIiIiMgIqG8PUVPsA2BaRbph9pxxRQC0dEcGftFEoNQadgKkejTNG180lEcVEelDgZKIiIiIiMhBtK2pm52tAeo7QlQX2YHS369fyuLJJQDMHVeE02EGVaG0fuceAK77wxqC4Rj3rthBgdfFjIFWKImI7IMCJRERERERkQOgPRBh9c42LMtKje1sDXDmD5/j5O89y+qd7cwbXwxAsd/N9Ao79JlclkfcsvjZs1vY3R4c0D1f37wbgO0dMT5812u8tq2FRZNKcDjMMH0qERGbAiUREREREZGhiEUhGrZfw92QCJB+9NRG3vvTl7jr5drUoQ+uqiMWt5hR5uGieSV8+oyZqZXZQpEYABNK/clLcOdLtexVNAzxWGqzq7sbAH9ePq9sbQHg5vfOG4YPKSKSTU25RUREREREhuLHi6B9R3p78ZVsPel7PLW+AYDXtjTx4ScXwelfoWZTmFrfDyBgYIsFt7ggHoUz/4fu8EkAzNv5Z2p93+To+O95Ym09N517JMbkqDDqrIcfzbPPB6yPPUcw0A0OOHXuRO5Z0cCZc6o4okrT3URk+KlCSUREREREZLAioewwCaBuFe++7Tl2ttqVR51tdl8jnv0259X9OHFQogQpEQax5RkuWjwBgNnrfgLAN5eNp7Y5wIubm3Lfu7U2fT4QfPtJHHG779KxM2rsy1u5ThQRGToFSiIiIiIiIoMVas/eLplCvHN31lC0rS713mf1ZB2bsnsVFy4cz9bvnIcjagdRZ83wUV3k5dbHNxDLlQz1uvevXt6Nlwgxh5ez5tVw5pwqvnD27MF9LhGRfVCgJCIiIiIiMlC7V8GD/wX/uD57fPxiHIEmXNiVQ5csmYg31Jj7GuMXp9+H2qC11m6eHbNDJ0+ki88vm82qne28uq257/m9AqW2YBQvEXD5yPO4+PU1xzJnXNGgP6KIyN4oUBIRERERERmol38Kb9wNm5/MHh+/CIBK2nn5S+9m4aQSqkxr7mtUzU28Jppmt23P3h9q57hpZQCp6XO992eaWRzn/LmlOD3+AX0UEZHBUKAkIiIiIiIyUDuXQ/X8vuOVcwCY4GpjXLGP02ZXcUxZT9/jADx59mthtf3atSd7f6id6iIfAA3tIQAsy6I9EEnsb8s6vNoTospngcs78M8jIjJAWuVNRERERERkILqboXUbnHojNKzJ3ldoN8O+3vMw5sUoExo3cGn+Wujcy/XyK+3XJ78GFTPT4w9/Hl/LNm7zvcq61s+DdQQr//h1vrBmIn89pZ7iQC24fBC1w6az2u4DaxK484bvs4qI9EOBkoiIiIiIyEAkV3UbtzA9dtKnwDihZDIAp8dfgadfSe3uyJ9KUXetvbHwMqg8Eo66FNY9CKd/BVb/BTp3w+3vSl+zpx3+9R0+ADQ1nACdUzl60//xtBd4LXFMQQ3WzGWYlb+ztyMBmHfRgfjUIiJZFCiJiIiIiIgMRDxmvzrd6bHTvwLu/nsX5U9dAmtr7Y0Lfgwuj/3+uif7PSdTYedWaHy77w5fMW1n3kbBG3/AbWL2tee8Z7+uKSIyFOqhJCIiIiIiMhBxewU3HM70mMu311OclbMyjvXs4wamz0h1zzbYkztQ+tDt/7bDJICqOfu4tojI8FCgJCIiIiIiMhCpQCljwoexQ6B43KLNyu97jq9o/69fUJW1+U7BIk6Ivwkv/7jPoZaviI0NXemB0qn7fx8RkSHQlDcREREREZGByAyUrnggaypaWzDCNeGb+MH0Nzmy0gcn3QAv/xQWXWE33w53577mpX+CLU9D23aYucy+duMGcPtY3jSJ6nV3cnJlOf+KHUVRtIXacBFHFXYzfs4lsAY+7foat57iwJ1ZNSUicgApUBIRERERERkIKzG9zOGCmWfafxLq2oK8ZU1n6wkXc+SCcfbg+35mvy64uP9rHnme/SeH3U9v4vPhGjZefi4/+NlLjK/2sXlPF0eNL+H6CUcAz3PWey/HfdT4YfhwIiL7R1PeREREREREBiKeESj1sq3JrkCaWp5j2tsg+T121dHWpi7agxGK/R5K8jy0BsLc+dI2AKqL9t7DSURkuKlCSUREREREZCByNeVOqE0GShV5w3Y7n9u+zzn/+wIAJXluSvPcPLuhMXVMdaECJRE5uBQoiYiIiIiIDEQyUDJ9A6Vtzd3UFPnI8wzfVy2/O/s+1UVeWgPhrLGqIu+w3U9EZH9oypuIiIiIiMhA5FrlLWF7c4Ap5cNXnQTpKW8AP7/iaC4/fgqleZ7U2DnzalJVTCIiB4sCJRERERERkYHYSw+l3e0hxpf4h/V2mRVKZ8yposDroqLArkiaVObnl1cdM6z3ExHZH5ryJiIiIiIiMhCpQCm7Kiget9jTGRr2BtmZ1Udel/3+Q8dO4q1dbRw/rXxY7yUisr8UKImIiIiIiAxEP1PeWgNhIjGL6mHuZ5Q55S2pLN/Dz69QZZKIjBxNeRMRERERERmIfgKl+o4QADXDXKHUuym3iMhooAolERERERGRgcgRKD3zdgMPrdoNQJUCJREZAxQoiYiIiIiIDESvHkrRWJz/uGtFavdwT3nzeTSxRERGH/3LJCIiIiIiMhCpCiU7UHppS3NqlzEwrvjArfImIjJaKFASEREREREZiF5T3lbtaEvt8rocOB1mWG/nU6AkIqOQAiUREREREZGBsJJT3uxA6e36jtQuj3P4v2K5D8A1RUSGSj2UREREREREBiKjQikWt3j9nVbOOLKKrU3dfPGcIw/ILS9ZMpGz5tYckGuLiAyGAiUREREREZGBSDblNk5+8swmGjp6uOHdVfzmhCkH7Jbfv3jhAbu2iMhgqHZSRERERERkIOJRMA5wOHh7dycTSvxcefzkkX4qEZGDSoGSiIiIiIjIQMSjYOxG2R2hCOOKfRgzvI24RURGOwVKIiIiIiIiAxGPphpytwcjFPvdI/xAIiIHnwIlERERERGRgYjHsgKlIgVKIjIGKVASEREREREZiHgMHIkpb6pQEpExSoGSiIiIiIjIQCSmvMXjFp09UYp8WjxbRMYeBUoiIiIiInJI2dMZIhiOjdwDJAKlzlAUy0JT3kRkTFKgJCIiIiIihwzLsjju20/z0d+tGLmHSPRQ6ghFADTlTUTGJAVKIiIiIiJyyNjREgTgxc1NI/cQ8Sg4nLQH7UBJFUoiMhZpsq+IiIiIiIxqlmXxt5W7WDavhpU7WgGoKPAe0Ht+++F1tHRHmDu+iI+cPC1r30ub6jkyHmNbUzcAZfmeA/osIiKjkQIlEREREREZ1dbWdfDZe1cxvXIzWxvtEKem+MAGSne8sA2AB96Ay4+bjN/jZFNDJz3ROK1dQVpNnF+/uI0p5XksnlRyQJ9FRGQ00pQ3EREREREZ1Zq6egDY2thNVaGXIp8rZ1Pu5bUtRGLxYb//nP/3GHs6Qpz1o+d5z09exEmcKE5W7Wjj4qMn4nLqa5WIjD36l09EREREREa13e2h1Ptrl07l/KPG0RGKZh2ztq6dD/7y39z6xIYh3y8et/qMrXinNfXeRZxY4qvU4smlQ76fiMihSIGSiIiIiIiManVtwdT746eVU+Rz09jZw70rdqTGd7bax/zqua2c9cPnqE30NxqMUDRd/ZTs1fT42vrUmNdhVygBHDWpeND3ERE5lClQEhERERGRUW1XIlAq8LpYMKE4tarajfevBuzqpC2NXanjN+3pYnlty6Dvl5xO965Zlbxw4+kAPPP2HgB+eeXRLJ1ewtTKIr75vvkU+bTCm4iMTYMOlIwxk4wxzxpj1htj1hpjPp0Yv9kYs8sY82biz3kZ59xkjNlsjNlgjDk7Y/ycxNhmY8yXhvaRRERERETkcLKrNciSKaWs+Z+z8bgcqUAJoLmrh/N//CLffyx7qltdW6j3ZQBYv7uDbz20jjW72vu9XyARKJ1/1Dj8HieleW46Q1EqCjycM38cTmIU5/u56oQpw/DpREQOTUNZ5S0KfM6yrDeMMYXA68aYJxP7fmRZ1q2ZBxtj5gKXAvOA8cBTxphZid0/A84CdgLLjTEPWpa1bgjPJiIiIiIih4ktjV2ccWR1ajua0Xh7/e7OrGMXTiphR0uAXW2BPtfZ1Rbkk394g21N3WxvCfCrq47BGNPnuGDEDpTyPPa0tuoiH62BCFPL8+0D4jEwziF/LhGRQ9mgK5Qsy9ptWdYbifedwHpgwl5OuRD4s2VZPZZlbQM2A8cl/my2LGurZVlh4M+JY0VEREREZIxr6uqhqSvMrJrC1Fi+N/3/xd/KqDS6+JiJ/OP6pUwuy0tVKG2o7yQQtht4f+Ke19nW1E2+x8kT6xp41w/+RSjSd7W4ZIVSMlAaX+IH7GAJsAMlhwIlERnbhqWHkjFmKrAYeDUxdIMxZrUx5rfGmOSyBxOAHRmn7UyM9TcuIiIiIiJj3B9f3Q7ArOqC1NjFR0/kmhPt6WaZU9dOnVUJwIRSP++0dHPH81s5+3+f530/e4mGjhBv7WrnhtOP4KOnTgdge0uAvyzP/CpiS/ZQ8rnt0Og/lk4DYMHERAPueBQcQ5nsISJy6BtyoGSMKQAeAP7bsqwO4BfADGARsBu4LXlojtOtvYznutfHjDErjDErGhsbh/roIiIiIiIy0v5xPfz9evjrx+G7k+DOVAtW6ttD/PDJjQDMGVeUGnc0b+TLmy/jYudzfH7z1ZRgT3tbOqMcgBOml7OjJci3H1kPwMaGLr7zyHosy95XWehNXWvl9tb0s6z7B9w6m4V/O42V3o9xzN/eBfVvcfKuX7N2/p/48EmJnkkKlEREhtRDCWOMGztM+oNlWX8FsCyrIWP/HcBDic2dwKSM0ycCdYn3/Y1nsSzrduB2gCVLluQMnUREREREZAS177RDosknwSmfg4c+DSd+CqqOzH38ynvsV3c+RIPwzksQCYLbz4ubmwD4zWVzqHjsk3DqF+zrvPwTvJ3budX9K7DgfaW1/L8vfBGHw/5/1VceP5kXlr/O1XtuxTP1eL7YeiH/eLMOY2DhpGIWTCzmjXfaWLOrnal1D8HzT8GSj8C9VwOQB+QZoKsL7ng3xMLkA9x5FlTMhN1vwtRTDuiPUURktBt0oGTs7nW/AdZblvXDjPFxlmXtTmxeBKxJvH8Q+KMx5ofYTblnAq9hVyjNNMZMA3ZhN+6+fLDPJSIiIiIiI2jb87D1X/afWWfbgVH9Gvj4c3s/L9JNc9liyltWQmc9lExh5+p/cXZeI+9ueA3W3A8Na+C8H0Dz5qxTr/G/iOOdk8DhhoIqTMcuvua/n0nOtbBjLdcfMZMHWrqoKfJRuPvfANx2LNwe3MrHtt0Kz0B09QO4nB6YdxGb2w1Pbunm4osuofKfV6VvFGiG1W/Y72Ph4fuZiYgcgoZSobQUuAp4yxjzZmLsy8BlxphF2NPWaoGPA1iWtdYYcy+wDnuFuOsty4oBGGNuAB4HnMBvLctaO4TnEhERERGRkdKW0ZOoze5/1G/4EgllbT4Xncf7sQMlq/4t/vud6+0dLycOaHwb7r4g65yAs4hpLS/A3S9kjU8CIlVH4d6zmos338TFHiAE3J0+5mMZx7ua1hO98Fe4Fl/Ky/+u5Xsb1vL/27vzOLnKOt/jn+ec2qv3Lfu+EEIIEPZdwAtREe643FG5jDpeueNVr/iaGcXxjs7mHUfvuMyiDiMK6oA4CIKK7IhATCCBQBII2TtJd5Lel6rq2s557h+nutOddJbO1unu7/v1qlef5TnnPFXPqdNVv3qe3/lvZ7wdsn8LT/4l3PZcEOi67w8hWgk3f+fIr4WIyDh2zAEla+0LDJ//6NHDbPMV4CvDLH/0cNuJiIiIiMgY0R9EgmD4GoA9RLaK1N4hsy/4Z/MegN49dGx7hUrr8Pwl3+eaMyeBcWHbszCr1BOp0AepfSQqpkDLmzB5KfTugc5GmHEhOGHCU86BNXeTjdbypWc7+e+XzGJpf2JtYM1bjbz4/BMUbIh1di6fqb2BJZ7P1x9/C4B4xIXLPg2L3gW188ArwtV3wLI/gkrdR0hEJjZlkhMRERERkROnq3H/dH9AycsNX7Z335DZ1/oagonUPtI7X6fdTmHhpe+EqniwfNalw+9n3rWHrs9lnyIGfO38g1edPf0ydjZcTX1ZjH++axXX7+mlq69Ab7YIQCzkgjFBMAnADcE1Xzj0sUREJhAFlERERERE5PgVc/DCN4M8RzMvhZ2/h73rgnXdu+HxLx68Tcf2gclWW8n2TASbiGDWPUB1xyZWR87mmv5g0kkQCTn8wXnTsdZSHg3xxp5udnZkADhnRtVAkm8RETmYAkoiIiIiInL8mtfCb/8ewglY+oeQT0PHNkjUQLYb1tw97GaFRAPd6Sx31f45frOhZ+oVhHetwFpD+/S3nZKqG2NYNKWcjXt6scD5s6r5+ScuOyXHFhEZqxRQEhERERGR49c/rO2W/4TZV8AFHz2qzVZsauXDP3iJj8/Xc6Q2AAAgAElEQVSbA83b+T+JL/HLbDMA37to2cmq7UHm1Zfx5Bv7cB3D286oP2XHFREZqxRQEhERERGR49d/Jzc3MqLN9vUEd3o7a2qQLHtrS2pg3aVz605M3Y7CnLok7engOUyqiJ2y44qIjFUKKImIiIiIyPHzgkTWuOGjKu77li89sp7tbWkAls2sBuCNPT0AfOJt86hMHN2+ToQ5dcmB6QYFlEREjkgBJREREREROX79PZScowsCvbWvl5+s3DkwP6MmTjLiks57XL94Ep9fvuhk1PKQBgeUJpVHT+mxRUTGIme0KyAiIiIiIuPACIe8/X5r+5B5YwzJaPB79zkzqk5o1Y6GeiiJiIyMeiiJiIiIiMjx849+yFtXJs9PVjUyqzbBnLok06riALSmgsTe153ZcNKqeSghd/9v7Q3qoSQickQKKImIiIiIyPEb6KF05IDSvS/tZFtrmns/fjGXzdufePu7t5zPr15v5oxJ5Serlof109su4YcvbldSbhGRo6CAkoiIiIiIHL/DDHlr6ckSdh2qk8G6R9Y2s2xm1ZBgEsDyJZNZvmTySa/qoVwyt5ZL5taO2vFFRMYS5VASEREREZHj13+XN2fob9bWWi76v09zw7d+x7bWFLs6Mmzc28s7lkwZhUqKiMiJoh5KIiIiIiJy/A7RQ2ldUzcALb05rv3H5waWX7lwaO8kEREZW9RDSUREREREjt8wAaXuvgIf/eHLBxWdUhkbtTxJIiJyYqiHkoiIiIiIHL9h7vL2+Pq9tKfz/OuHltGTLfCupVNoT+Upi4YwxoxSRUVE5ERQQElERERERI6flw/yJw0KFP3y9WZm1iR459mTBwJIFbEj3wVOREROfxryJiIiIiIix8/LDxnu1p7KsWJrOzcunaLeSCIi45ACSiIiIiIiI/H4F+FbS+G+Dwbz7Vvh36+FdPvx7/u5r8Fjf3H4MsUc/Pt10Pj74dfvXg13XhPUaeeqoese+GPY+Ovjr+dwvCLWCfHxH63me89t5Z+f2YLnW959ztSTczwRERlVCiiJiIiIiIzEpsehqxHeehQyHbDin6BpDaz/+fHv+9mvwMp/PXyZ9i3QtBp+9dnh1z/0J9D8SlCnh27bvzzTEdTxpx86/noOx8tTJMSTb+zjq7/ZyN0rdvCRy2Zz5pSKk3M8EREZVcqhJCIiIiIyEvkUJGoh0w4d26FsUrA8tffUHN/aw69PtQw/3bH95NSnJJ/L0p2H8liI/3nVXKyFT14z/6QeU0RERo8CSiIiIiIiI5FPw7TzYduz0LENImXB8tS+U3P8Yvbw63Pd+6cLmf3THdtOTn1Kmjp6CXku3731fK5YUHdSjyUiIqNPQ95ERERERI6WtUEPpUlnBfMrvwO53mC69xT1UMqnDq7Ttt8euudSug3W3geNL+xfNlz+pSPt5xCe3djCqm3ttHb14rthLp9fO6LtRURkbFJASURERETkaBWzYH1I1kG8JshVtOWpYF1304k7ju8del0+PXR+/c/hRzfDqz+GfObg8s/8LfziT2DN3fuX/er2g8u9ck+wnw0PHXU1d7Sl+ejdL/OHd66kvSdFPBbTHd1ERCYIBZRERERERI5WfzAnUgb//YFgurOUm6iv4/j2Pbhn0IFBo+Hq0K//+B3bhq/D4Du9TT4bFi6Hvq6Dy7VvCf52NR5VdbMFj9vvXzswP6sqQn1l2VFtKyIiY59yKImIiIiIHK3+4WaRJFRMC6b7Ovf/tRaOtYeOlx90nDTEDnF3tP46DHec/roM1rpx/3S8GuoWwtZnj7muW1p6uf3+tWxvTZPOe3znlmVcc0YD8fvvgmxuxPsTEZGxSQElEREREZGjlRsUUIpXD13n5YMk2JHk8e0bDs6TNFy5/h5NpT9v7evFlO9k4UEbDOr5FK+GRA14OSj0QSRx8P6tf8hDr2/q5oN3riQadnn/BTO4dF4tN5w1OVjp5cENH7reIiIyrmjIm4iIiIjI0Ro85C0UhfABwaNMR5AA+2vzwCuMcN9HGVDqr0Mp8NPTHfRKevHN3Xzz4VXDb2Pc4G+8en8grHM7fGUqrLkH/qZu/9C4UpLx5q4+Cl5wDGst33jiLW785xdIRkM8/KnL+aubztofTALwiwooiYhMIOqhJCIiIiJytAaGvJVyBcWroTAop1FfJ/zqs1Dsg66dUDtvBPtODz99qDoU+0jnijz32ibeDSyrh4aKGAyXAmna+bD7pVJAqSZYtu23Qd1/+b+D+d0vAdDb2cKf/3gNT7yxl9m1Sf7XNfN5aXs7P1u9m6sW1vMX71zEtKr4wcfw8sfeO0tERMYc9VASERERETlaAz2USoGT/t4+idrg7+AcRv3Jske67wOnD7B6824Aenq6OevLjxPKBwm2z62z3Dg/NvxG9WcEf0Ox/XXet2HYoi+8vpnHNuzl7GmVbGtL82f/+Ro/W72bWy6eyd0fuZBFkw+R28nLg6MeSiIiE4V6KImIiIiIHK1SoOeVvQWWTQbiVcHyyumQaR8aUOoYaUDpyEPeHnmtGW9fKxe4EPEyXD6/lnPTFjoJjt3XScFECNsgwXfGRsEYEmWT9u+kP6DUtGbYYyyoKHDvey7msnl1PL5hL7s6Mpw/q5rzZlYPW36ApyFvIiITiQJKIiIiIiJHkk/DG49gtz6DAT7+0zdZc+55QYJrgMoZsOc12PRYkPAagmk3cvTH2Ltu//Tmp4Ym6QY2t6R48YXt3Oo2ARAzBX587kac3+0NCnTtBDeMk6yF1B4AOimj2y/jxee38/H+HfXXefDd3waZH2pjftevYQ3cAJAAWkuPw8m0g7v4KJ+siIiMdQooiYiIiIgcyYaH4OFPYoBum6CHJL5vcWrnB+unnQ87XoDX7tu/zZangsexeO3e4DHIAuAfDugA5PzqM/tnUnshtRd39pVYN0Qmm8OWzWfNvgSPF87i49Gfw9xrIFGLjVZict3DH7t71/68SiNVMfXYthMRkTFHASURERERkSPpaQbg7+b/lPvWpykQoqmrjxnX/iVcdBuUTQr+ZruDXkmxCki3HXG365q7+cnKRtp682xo7iZNnPtuu5QltYbOTJ7frN/Lvz+/jb68RyTk8C8fWsbSaZVQ1hDcUc4vBjsqnxIElKyFZB3GCZMENu3q5MvfXYGPw9XxB3i47jzu+W0jd3Z/g3IydLs13P2Hc7l4yRmQboVkA/TuOfbXqXzKsW8rIiJjigJKIiIiIiKH0Jst8LPVu3l/224cp5zvr/e5bN50VmxtZ0NzNzNqElA+OSgcLQse/SqnHXK/nm/59tOb+aen+/MshZjfMIu9LSlu/ckbpPMe1loKnmXJtJnc/+ELqSuL4jhm/07KJw3d6TC9g86bVcuPPnYpv163h/te2skvX9/DD1dsZ0pDPVctqGfZrCouXlrarv95HKbeIiIi/RRQEhERERE5hG88uYkfvriDKeE3WWAq+NKNi7nlkpmc/VdPsKaxk+VLDt8jx/ctnrWE3aE3Vw6CSZt577LpfPmmxWze18u5M6r552c288LmNpZMqwTgXUuncN6MKkLusd+c+YoFdVw+v5afv7Kbv/zFegD+7x+czTvPVm8iERE5dgooiYiIiIgM8tQb+/jxykbOmV7JPSt2cNM5UzlvT55IdDofvXw2xhjOnV7Fw2ubWdfUzaLJFXzo4pksnFQOQEtPlkdea6bgWX6yspHWVI5Pvm0+fQWPJzbsJe/57O7s4x1LJvP/3r8UYwznzwoSZd/+9oXc/vaFJ/w5GWP4yGWz+cEL27nl4plcu6jhhB9DREQmFgWURERERERKrLV8+ZENNHX18dymVi6eU8Pfv+dskt/rhknLwARDzq4+o57VT3RgDKzc1kEmX+Rr7zsHgH98YhP3r94FQCzssGRqBd98alOw3cJ6klGXc6ZX8RfvOhNjzPAVOQk+v3wRn7vhjOPq7SQiItJPASURERERkZI7f7eNVFcr/3JFhLMvvZ6ZlSHMm7+A3r1B4u2ST1w9j49cNptkNMStd61iXVMPP1nZSCzs8tDaJubWJ/n6+5YyoyZBfVmUZza2kIyGuGRu7ag9N9cxwKkLYImIyPimgJKIiIjIcehI56mIhdTr40TZ/jx4OXDCMPfqY99PPgNr7iaf6cI1phRMCeSKHrmiTzpXxDGGtlSOlt4cuaJPZk8PT5evoG71Hgh/Ctq3wKbHgg3r9g9FcxxDMhp8lF48tYJ/e24b/6eUnygedvn6+5YODGMDuO7MAxJoi4iIjHEKKImIiIgco3zR5/KvPkNDRZRoyOFPrz+DG86aPNrVGrushXtu3D9/wcfAjRxUzMfS3JVlb3cfAJMqYnRm8tQmo8TCDjXJCP7eDbiNz3Pw1hAtPSpK85OAs0rTy0NAoTTz+38BDFz5p3DRbUN6KA124awa/o1t/MnV87hx6RTm1CUHgk0iIiLjlf7TiYiIiByDlp4sr+7qoq/g0diewTHwy9eahw0o+b5lV2eGWbXJUajp6c9ay3d+u5VCzz5uLy3zcCm8ej8AvrVgg15BjjEUfZ8Kzw4EhNgDlYP21wtY4DvFD/LK9Fs5c0oFz21qpb4sysLJ5cyoThAPO0yvTlD0febVlzGvvgzHOcRwsCPkOXr74kk8/7lrmFGTOPYXQUREZIxRQGkCakvlSOeKuI6hNhkl7/kkIu5Bt7MVERGR4a3Y0sYf3/My2YJPLOzwxO1X87XHN7KmsRPPtzy7sYWZtQkWTipn075e/uqRDazY2s6SaRVcPq+Oc2dUsWxWNQ3lUe5esYOyaIjp1Qle2t7B9rYUkypjXDS7hsvm1dHU1cfkyhihUrAj5JgxP7zOWsvGvb2EXcNv32rlsfV7Wd3YyUXmTW6Pwh/lP8/v/HMGyteVRUhGQzR19lH0LQA3nzuVzy1fxK6ODLs6Mly1sJ7N+1Ls68ny6q5OJpXHuGhqBXcsajglia8VTBIRkYnGWGtHuw7H5IILLrCrV68e7WqMKd2ZAo9t2MNXf7ORzkxhyDpj4H9eNY873rHoqPa1p7uPLzy4jnW7u7l4bg3LZlYDsGhyBXnP4629KcKu4eI5tdSWRWhsz9CayjG3LkldWZSqRJhY2D3hz1FEROSE2bcB1t477Krfr3uLmp43KYtHKS8ro8LJ0ZKP0tHZQVnEIZMv0mzr6AtXki14OIA/zH6iIYdcMVjTbZNYDPWhNJ5v8Q/4iJa3YRptA1WhPMvnJ5l51a2w4wUIx2DOVdC7DyqnQyQBxik93EHTTvAPv3+6bRNYi21YxNbmdrY376Hc5Di/KkU4UQXlU/b3zLEWevdA2WRwQwfsc+ijq69IKu/T2bKLbc//jLcqLqXXC5HJe9RHfZa5W2hMhQg1reI/vas519nK25NbmVEdZ8G+3wDwzPKnebI5wh3LzwSgLBbCdQyd6TydmTz15VHKY+ET0coiIiJyAGPMGmvtBUcsp4DS+NfU1UdNIsKn73uVp97cx7SqOGdMLmd+QxmV8TD5os+KrW28vKOTefVJvv7+c/jqoxtp7u7jygX1VMRC5Io+1y+exEVzanjo1Sb++pdvkC/6LF8ymec2tdLdVzhyRQapjId559mTmVmT5IzJZSyZVsnL2ztxHSh4lqLvs2hyBWdOqTjyzkRERE6GB2+D138GkSSWoFdNv9487KlYyqKGOORSUD6ZQucuXmiGjA0zuTxCebqRilAR30JtWYSw4+Bbi28tbak8rmOC3kaOIRp2Cfe14hYzUD4F342RKRTJFXzCroO1llixm2ixd/Rej5OpYlqQK6l3LyRq4Pb14IztXlgiIiJjlQJKAsDaXV38wXdepL+Z/9eiNH/W+zUcLz+knA/s6cri+cGvpMaYIb+aWoLcBf2MMVQlwpRHQ1jAt0F+A8+3+L4lHHIwQK7o41tLyDG4jkPR8/GspS/vkfd8/AN/fh3MQCzkUpOMDHTzPyI3Au/9Pkw99+jKi4iIHIL93hV0mSpuyX6eLS0p8t7QPkY/+djFXLGgbsiye1ftpDdb4Lar5mJLOX+OWrYHdr0E864dPpjiFSHXQ6a3izse3khd46Os8RcAMMu0YCunE041UR62ZPMFrPVxsKWHTzLiYD2PoucRciw532VBQxnTKxzK4jEm11bT0tXLGz1xbChC0k/TV/AIuw6pXJHN3Q7hYi9lYYdoyBBxIORYahNhXBMcI+oakhGHeNhQ8HzOWHIhVbZ7yNPIxxsI2SJO9UzYsxbi1bDg+qA3lO+D9cBV7yMREZHRooDSWJBu57GH7mZDUzcfv2oeYCmLhnBOwDj/XNHjF2ub2daaIp33uGJ+HZl8kZvMC4T2vAqL3nXQNp617GhP09yVZfGUcmqT0SAJJlDwfHa0Z2hP5ZhZm2BaVRzD8dXTYil4lo50ni0tKaZXx4mFXWJhF8fAzo4M29rSREMO582ownUcapJhdnf2DbqTixt8/rSWiGuo2PQgXPel4G4sIiIiI9SWyvHhH7xETzrLU7kPck/xeu4p+x/ceM4UJlfEsDb4seSC2dVcOLvmyDs8SYqez+rGTsqiIXxrWbG1nefeamVadZyw61CbjDC7LsnUyhj7erM0d2XZtK+XmmSE2mSEjnSBqVUxPnLZ7DGfj0lEREROLAWUxoB1L/+Ws39986k/8BWfhbf/1ak/7jF4fnMrt9710sD8e86bxoOvNh2y/OrEZ+iov5D7Z/wlje0Z6soizKhJUBEPY63FACHX4bpFDTRUxE7BMxARGSqdKxJyDWHHGVnvFRlWWypHLOxSNswt2gueT8gxI+opdN+vHiO38i4uC29mod3Oi0v+moU3fIL68uiJrrqIiIjIaUkBpTGgmOvjF8+vob4ixt0v7uCaRQ10ZQo0tqdZtb2DkGO4fH4dEdfwxp4eapJRrlpQz5TKKG/u7WXTvl6q4mHmN5TTky3QnSmQyhfZtLeX9nSezy9fxPWLJw09qDFQMX1M5SV4eG0Tz25s4fEN++greFy/eBJffe9SHnq1CddAfXmMSMihsT3N4qc/Qpnfw035rxALOyQjIdrT+YP2GQk5fO6GM/gfV84F4Pdb25laFdPtnEXkhPN8y9/8cgN1ZVG2t6UHguJ1ZRE+8bb5ZAseP39lN4unVPCN/3YuHek82YJHY0eGsGPIeT5tvTm++9xWQo6hrixKfXmUG86azBUL6qg4CYmJrbX8et0ednf2cfa0SubWJ9nQ1EOu6NOZybNkWiXnzqg65v1nCx5FP+iVS9MrsOWpYcvlij75oodvLalckbDr0NKTY3t7mnzRpyOdJ5PN8f7Q7+gN1ZJ2K3Adg7UGi6E9kw+GaxtDRTyCb4Pn5lmDD0RCLrXJCCHXIVsMjnFmahUR4xGpmREkpX7vXVAx5Zifq4iIiMhYo4DSGLehuZt7VuzgxS3tOA5Mr0rQ0ptla2t6oMzgHEcR16EqEaYiHsYxcMc7FnHtokmH2v2YtKWll6ffbOGjl88hEho+IGZ/cwes+h42WU9/iaJvg5valOZ9C+l8kXwxSHTqOoZswQMg7DrEwg7hSAz7vh8SmnXxsMdZt7ubF7e2ccX84MtcZSJMIuISHuGwgW2tKT747yuZWhXn799zNvGwy8yaxGFvb+z7Vr0aRE6w9U3dbG9Lc/6saurLo4Qcc2y3GV/3ALx2HwC9uSJdmTw72zMUvNL/WgOVsTDlMZfuvgKpbBGAcMihUNyfn8dw8P/meMQlEQlR8Hz6Ch6Fok+2fBZXnzkVp3MbrzRnMQYWNiTJ9PURjSVxInGq66dCtpv+RHh9eY9IKLj29ct7li0tKXJFj65MntbePEf6eBANGWbVJskXfdL5IgXP0lfwqIyH8XxLvuhjsdQlo+SKQZ3zpR5D6VwRz0JlLMQVhRWUkRn5a32AXlPOPqcBzwbXe4MtXZcNRS8ITDnGYLA4JlifLXgUPR8DOMYSdh3y8Xpqb72H6smzjrtOIiIiImORAkrjkLVBvqEd7WkmVcSYXp2gu6+A6xiSEffYvvyMN22bYdX3wPcOW8yzlt++1cLe7hwAkyqiNFTE2NKSoi/v8Q53FftMA32zr+PcGVU4xtCRybGvJ0d3psDLjZ0D+aUGm1YV5+I5NcTCLr6FmkSYkGuG5JvyrcUCm/b28vtt7fTmiriOwSslKK+MhZlTl6QsGuL13V0koiESEZeOdJ6i55POe1TFwziOwbeWKZVxls2sIhnZP9wjEnKOLhdX+SS44GP7bwstMgH1rvox9//mabKDAjph12HJ1Aoun193mC0DPdkCOzsybG9NcX3Pg+RjNfSGamnpyQLB+7GuLEpFLLge9N9kwGLIez4OwVDcPd1ZrLUDge5oyMG3wU0QjIF42B0IAvnWsqutl2nZzeQIs8NOptKkcfApWpduksQoEDc5ppp2epwqrBOi6FsKno9jDBHXwRLcTMHz7UAIK+w4RELOQIC9Lx9cT0OuCQIyxpAreuSKPtlCEKQJOf3rgh5ZxoBjDL4Ncv04xuA4hv4YlmOC6YJn6Q3X8NC8r5BNTAEDhiDIb61lSlWcilgY1wl6o2YLHrNqkpw5pXzo/zzjHPN1rOD5pLJFymMh5RISERERQQElkSPq/xJR9C11ZRGMMfi+5VtPbWJR473c0PRPGGv3d20a/FYZ1ONpsEO+nUrl7YH74eDvQEPKDHMQwwG7GO6YB9RvuN3194DY9P5nWLB4mQKSMuE0dfWxYv1W3vvUFVgLxnEH7mjZfwPKITELSqOnSjP9gWJv0N0q25xa3tf3RZqo57J5tfz1TWcxpy55UgIVuzoy3PStp5g/uYaL59VTlQhz/qxqfrepjfNmVmEJel691dzOhr19ZAs+yajLeTOq6e4rBEPqXMOM6gQzahLcuHQKCyeVH7IH6HC6+wokI64CMSIiIiLjiAJKIifAt5/azDef2gTAu86ewqevm091IsKkQyT0bk/lWNPYSV9pCN2DrzQRD7s8+eY+PN9Sm4zwXxZPIhEJceWCOt52Rv2wgZytrSk60nkumFV9xEBPS0+WZza2kCn1IvCt5ccrG2ls3z+EJBkJekz11wtgodnFE9HP89n8J4gs+xDXndnA5pYUuYLH9WdN5swpFUOGxBzIWks67w2bCPd4dWXyvLyjk7qyCMloiL3dWX71ejN7e3IkIy5LplXSmc4zoybBhy6eSdh18PuHNiowRipXxLcWxxj+Y2Uj9760k8p4mEvm1jKtKs706ji1ZVF6swUAXmnsoi2VY3tbmtqyCNOr48ypK8MAnZk8ZdEQDRVRLptXRzTk0FfwiIdP/16R1lqKvsU1QU+gxvYM29tSNLZneOrNfbyys4vLWcuPIv/Ao8v+jXfe9IGBbdtTOa79x+fo7itw5YI6Vm3voCIWYl59Ga/t7iJb2N+b6aypFfzdf13C7NokVYkwrakcjjHUJiMn/TXKFT2iIfekHkNEREREJhYFlEROAGstv1jbxNLpVcyrLzvm/eSLPkXfP2Vfwn3f8vKODowxLJ1eOTCkrrmrD98GPTM6U328+9cXsSVxDt/vWDpke4Ml6jp8+roFNPTf2ah0rSh4Pjs7+vjd5lY27u1l6bQK3n/+dCIhh7ZUnohrqIgdHGRqS+V48o29nDOjGscEQ4raUznKoyHiERdrLW/tS9HclWZnR4aiN/TaFAs51JZF6Mt7dGQKuE7wPMOuoToRoTOTJxpyuXB2NQDZvEdlIqhHruDT01cgnS9igIaKGLNrE1TFg9xXiYHhgvufY3+OrbDb/5oYurMFcgWfvnyRSMghHnZo7s7i+ZaI6+AaqEqEB3qxREIuhmCIUdG3FD1/YBhRLOwQHpIc3w68zP3PPJMr0JbO0dyZxTHBXarc0lCiRMQlW/Ro683Tns7hZzqZEs3TV/DoSAf5b/p7oVUmwvg22N/g3jSDz8RwyFAeDZMvemTywXCjA8s4DrgGip7FdQyuYyiLhaiIhpjfUFZ6Xu6g/GU+FggPCkx6fpD4OJUrlNrVxXUgEXZxnOD5e74tvX4Ovg1et6LnUyi9ho4Jzmff9/FKQSO/9MgVPbKFYChWKlcgXwzKF31/yPMpi4aYXBljht9Momsj5o6dEC0fcs41dfWxrTXFlQvq6ct7wZ3ZXIdc0aPoBTmCMgWPqZWx0z64JiIiIiJytBRQEpEj+8n7YMuTo10LOQEKhOk1SRxjCLv9wQ1DOOQQKQ1HsgRDuTzfBgEnE+TxCZWCQ/3bWMDzfcCUcnUFeXDyno+1Bsdh4G5ZRT8ImPqD6hJynNKdtCzWmiFDMAcHzPrZA8Z2DsyXxpgddXmC5+Q6QQ6iUOlhCZ5f2HUIhxzCjsFxnP1bzboU3v3tI7/IIiIiIiITwNEGlE78WBURGTs+cC+k9g276vsvbueu53cMzCdjLslIiKsXNjCnLskNZwVD91bv7OSVxi62t6eYXp0g7Di83tRDMuJSHguzp6ePqOtQXxHj3edMpbUnS1k0TLboMbe+jOauLJ61GAyV8RCLJlccIrnucAmlDggsWEumEPQEK/qW7r48iUiIkGuIhvZf7npzBV7b1UVHusDaXd1sa00xpSpGvuiDMVTGw8yrLyNb8NjamiZftJTHXaZVJZhWFac8FiJbtOzp7mPJtAqq4hEyeY9MvkhrqjCQa6d/SFksHCIackrDxXx6sgW6+wqsa+ohFnaIug4F38dimFQRI1bqFlUdD9NQGeeiOTWEXUPBs6W7Vfl0ZIokIg6zapI4jiHshKlxD39JN4Bbehyp3OA9OaX54Qd6Bnl6Hl7bxMzaJFtbUjy2fi/LZlVx5uQKLMFdFT0vCDBVJyLMrksyuzaB51u6+wqkcx67OjNYGwzZrIyHB24JH4+4lEVDJKMhwq6hNhml4PnEwi7xiEs87AavYcglEnKojIcPO1RTRERERERODPVQEpFhpXNFPnv/Wt6zbDpTq2IsnFQ+EOgQERERERGR8WnM9VAyxiwHvro2EDkAAAkUSURBVE3w4/n3rbVfHeUqiUxoyWiIO//oiNcQERERERERmYBOi/v8GmNc4F+BdwCLgQ8aYxaPbq1ERERERERERGQ4p0VACbgI2GKt3WatzQM/BW4e5TqJiIiIiIiIiMgwTpeA0jRg16D53aVlIiIiIiIiIiJymjldAkrD3ZLnoGzhxpjbjDGrjTGrW1tbT0G1RERERERERETkQKdLQGk3MGPQ/HSg+cBC1to7rbUXWGsvqK+vP2WVExERERERERGR/U6XgNLLwAJjzBxjTAT4APDIKNdJRERERERERESGERrtCgBYa4vGmE8BjwMu8ANr7YZRrpaIiIiIiIiIiAzjtAgoAVhrHwUeHe16iIiIiIiIiIjI4Z0uQ95ERERERERERGSMUEBJRERERERERERGRAElEREREREREREZEQWURERERERERERkRBRQEhERERERERGREVFASURERERERERERkQBJRERERERERERGREFlEREREREREREZEQUUBIRERERERERkRFRQElEREREREREREZEASURERERERERERkRBZRERERERERERGREFFASEREREREREZERUUBJRERERERERERGRAElEREREREREREZEWOtHe06HBNjTCvQONr1OEHqgLbRroSMGrX/xKb2F50DE5vaf2JT+4vOgYlN7T+xnc7tP8taW3+kQmM2oDSeGGNWW2svGO16yOhQ+09san/ROTCxqf0nNrW/6ByY2NT+E9t4aH8NeRMRERERERERkRFRQElEREREREREREZEAaXTw52jXQEZVWr/iU3tLzoHJja1/8Sm9hedAxOb2n9iG/PtrxxKIiIiIiIiIiIyIuqhJCIiIiIiIiIiI6KA0igyxiw3xrxljNlijLljtOsjJ54xZoYx5lljzJvGmA3GmM+UltcYY540xmwu/a0uLTfGmH8qnROvG2OWje4zkBPBGOMaY141xvyqND/HGLOq1P73G2MipeXR0vyW0vrZo1lvOTGMMVXGmAeMMRtL14JLdQ2YOIwxny1d/9cbY+4zxsR0DRjfjDE/MMa0GGPWD1o24ve8MebDpfKbjTEfHo3nIiN3iPb/eul/wOvGmIeMMVWD1n2h1P5vGWNuGLRc3xPGqOHOgUHr/swYY40xdaV5XQPGmUO1vzHm06X39AZjzNcGLR/T1wAFlEaJMcYF/hV4B7AY+KAxZvHo1kpOgiLwp9baM4FLgE+W2vkO4Glr7QLg6dI8BOfDgtLjNuC7p77KchJ8Bnhz0Pw/AN8stX8n8LHS8o8Bndba+cA3S+Vk7Ps28Ji1dhFwDsG5oGvABGCMmQb8b+ACa+0SwAU+gK4B493dwPIDlo3oPW+MqQG+DFwMXAR8uT8IJae9uzm4/Z8EllhrlwKbgC8AlD4TfgA4q7TNd0o/Qul7wth2NwefAxhjZgD/Bdg5aLGuAePP3RzQ/saYa4CbgaXW2rOA/1daPuavAQoojZ6LgC3W2m3W2jzwU4KTTMYRa+0ea+0rpelegi+S0wja+p5SsXuA/1qavhn4kQ2sBKqMMVNOcbXlBDLGTAfeBXy/NG+Aa4EHSkUObP/+8+IB4LpSeRmjjDEVwFXAXQDW2ry1tgtdAyaSEBA3xoSABLAHXQPGNWvt74COAxaP9D1/A/CktbbDWttJEJA46AuqnH6Ga39r7RPW2mJpdiUwvTR9M/BTa23OWrsd2ELwHUHfE8awQ1wDIPih4HPA4CTGugaMM4do/08AX7XW5kplWkrLx/w1QAGl0TMN2DVofndpmYxTpaEL5wGrgEnW2j0QBJ2AhlIxnRfjz7cIPjz4pflaoGvQB8vBbTzQ/qX13aXyMnbNBVqBH5pg2OP3jTFJdA2YEKy1TQS/Qu4kCCR1A2vQNWAiGul7XteC8euPgd+UptX+E4Qx5iagyVr72gGrdA5MDAuBK0vD2Z8zxlxYWj7m218BpdEz3C+OuuXeOGWMKQN+Dtxure05XNFhlum8GKOMMTcCLdbaNYMXD1PUHsU6GZtCwDLgu9ba84A0+4e6DEfnwDhSGp5wMzAHmAokCbqvH0jXgInrUG2uc2EcMsZ8kSAdwn/0LxqmmNp/nDHGJIAvAl8abvUwy3QOjD8hoJogBcqfAz8r9UAe8+2vgNLo2Q3MGDQ/HWgepbrISWSMCRMEk/7DWvtgafG+/mEspb/93R51XowvlwM3GWN2EHRVvZagx1JVafgLDG3jgfYvra9k+C7TMnbsBnZba1eV5h8gCDDpGjAxvB3Ybq1ttdYWgAeBy9A1YCIa6Xte14JxppRU+UbgFmtt/xdDtf/EMI/gh4XXSp8JpwOvGGMmo3NgotgNPFga2vgSwciFOsZB+yugNHpeBhaY4E4vEYJkXI+Mcp3kBCtFnu8C3rTWfmPQqkeA/rs1fBh4eNDyPyrd8eESoLu/i7yMPdbaL1hrp1trZxO8x5+x1t4CPAu8r1TswPbvPy/eVyp/Wv4aIUfHWrsX2GWMOaO06DrgDXQNmCh2ApcYYxKl/wf97a9rwMQz0vf848D1xpjqUk+360vLZAwyxiwHPg/cZK3NDFr1CPABE9zhcQ5BYuaX0PeEccVau85a22CtnV36TLgbWFb6jKBrwMTwC4IfljHGLAQiQBvj4BoQOnIRORmstUVjzKcILgwu8ANr7YZRrpaceJcDtwLrjDFrS8v+AvgqQVfHjxF84Xh/ad2jwDsJErJlgI+e2urKKfJ54KfGmL8DXqWUsLn098fGmC0EvRI+MEr1kxPr08B/lD4QbCN4XzvoGjDuWWtXGWMeAF4hGObyKnAn8Gt0DRi3jDH3AW8D6owxuwnu1DSi//vW2g5jzN8SfKkA+BtrrXqrjQGHaP8vAFHgyVKe/ZXW2j+x1m4wxvyMINBcBD5prfVK+9H3hDFquHPAWnvXIYrrGjDOHOIa8APgB8aY9UAe+HDpB6Mxfw0w+uFLRERERERERERGQkPeRERERERERERkRBRQEhERERERERGREVFASURERERERERERkQBJRERERERERERGREFlEREREREREREZEQUUBIRERERERERkRFRQElEREREREREREZEASURERERERERERmR/w+xIPCn8yvRpQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot baseline and predictions\n",
    "plt.plot(raw_data.reset_index().drop(['High','Low','Last','Bid','Ask','Volume','Date'],axis=1))\n",
    "plt.plot(trainPredict)\n",
    "plt.plot(testPredict)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Shitty...\n",
    "### Try to remove first years, those were other times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DPs:  1582\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>Mid</th>\n",
       "      <th>Volume</th>\n",
       "      <th>day</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-04-15</th>\n",
       "      <td>504.23500</td>\n",
       "      <td>21013.584774</td>\n",
       "      <td>15</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-16</th>\n",
       "      <td>537.50000</td>\n",
       "      <td>29633.358705</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-17</th>\n",
       "      <td>507.02000</td>\n",
       "      <td>20709.783819</td>\n",
       "      <td>17</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-18</th>\n",
       "      <td>483.77000</td>\n",
       "      <td>10458.045243</td>\n",
       "      <td>18</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-04-19</th>\n",
       "      <td>505.01065</td>\n",
       "      <td>8963.618369</td>\n",
       "      <td>19</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>2014</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Mid        Volume  day  dayofweek  month  year\n",
       "Date                                                            \n",
       "2014-04-15  504.23500  21013.584774   15          1      4  2014\n",
       "2014-04-16  537.50000  29633.358705   16          2      4  2014\n",
       "2014-04-17  507.02000  20709.783819   17          3      4  2014\n",
       "2014-04-18  483.77000  10458.045243   18          4      4  2014\n",
       "2014-04-19  505.01065   8963.618369   19          5      4  2014"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('DPs: ', data.shape[0])\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "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>Mid</th>\n",
       "      <th>Volume</th>\n",
       "      <th>day</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>966.995</td>\n",
       "      <td>7147.774423</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-02</th>\n",
       "      <td>998.290</td>\n",
       "      <td>13440.456264</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-03</th>\n",
       "      <td>1019.450</td>\n",
       "      <td>21804.197216</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-04</th>\n",
       "      <td>1038.500</td>\n",
       "      <td>14128.625714</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-05</th>\n",
       "      <td>1138.650</td>\n",
       "      <td>53698.692041</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Mid        Volume  day  dayofweek  month  year\n",
       "Date                                                           \n",
       "2017-01-01   966.995   7147.774423    1          6      1  2017\n",
       "2017-01-02   998.290  13440.456264    2          0      1  2017\n",
       "2017-01-03  1019.450  21804.197216    3          1      1  2017\n",
       "2017-01-04  1038.500  14128.625714    4          2      1  2017\n",
       "2017-01-05  1138.650  53698.692041    5          3      1  2017"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recent_data = data.iloc[969:]\n",
    "recent_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8e8f5b3278>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_data.Mid.plot.line()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Much better\n",
    "### try again"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(551, 62, 613)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_size = int(len(recent_data) * 0.90)\n",
    "test_size = len(recent_data) - train_size\n",
    "label = ['Mid']\n",
    "feats = [c for c in recent_data.columns if c not in label]\n",
    "train = recent_data[:train_size]\n",
    "test = recent_data[train_size:]\n",
    "len(train), len(test), len(train) + len(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = train[feats]\n",
    "y_train = train[label]\n",
    "X_test = test[feats]\n",
    "y_test = test[label]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/chris/anaconda3/lib/python3.6/site-packages/ipykernel/__main__.py:2: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
      "  from ipykernel import kernelapp as app\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=5,\n",
       "           max_features='auto', max_leaf_nodes=None,\n",
       "           min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "           min_samples_leaf=1, min_samples_split=2,\n",
       "           min_weight_fraction_leaf=0.0, n_estimators=10, n_jobs=1,\n",
       "           oob_score=False, random_state=0, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg = RandomForestRegressor(max_depth=5, random_state=0)\n",
    "reg.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainPredict = reg.predict(X_train)\n",
    "testPredict = reg.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean squared error: 728304.88\n",
      "Root Mean squared error: 853.41\n",
      "R2 score: -0.87\n"
     ]
    }
   ],
   "source": [
    "# The mean squared error\n",
    "print(\"Mean squared error: %.2f\"\n",
    "      % mean_squared_error(y_test, testPredict))\n",
    "# RMSE\n",
    "print(\"Root Mean squared error: %.2f\"\n",
    "      % math.sqrt(mean_squared_error(y_test, testPredict)))\n",
    "# Explained variance score: 1 is perfect prediction\n",
    "print('R2 score: %.2f' % r2_score(y_test, testPredict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#enche as previsoes de teste de NaN para o plot\n",
    "for i in range(len(trainPredict)):\n",
    "    testPredict = np.insert(testPredict, 0, np.nan)\n",
    "# plot baseline and predictions\n",
    "plt.plot(recent_data.reset_index().drop(['Volume','day','dayofweek','month','year','Date'],axis=1))\n",
    "plt.plot(trainPredict)\n",
    "plt.plot(testPredict)\n",
    "plt.rcParams['figure.figsize'] = [20, 10]\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Much better <3\n",
    "### MLP?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "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>Mid</th>\n",
       "      <th>Volume</th>\n",
       "      <th>day</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>-1.223794</td>\n",
       "      <td>-1.117004</td>\n",
       "      <td>-1.641538</td>\n",
       "      <td>1.505013</td>\n",
       "      <td>-1.507053</td>\n",
       "      <td>-0.84896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-02</th>\n",
       "      <td>-1.215914</td>\n",
       "      <td>-0.884555</td>\n",
       "      <td>-1.528538</td>\n",
       "      <td>-1.496852</td>\n",
       "      <td>-1.507053</td>\n",
       "      <td>-0.84896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-03</th>\n",
       "      <td>-1.210586</td>\n",
       "      <td>-0.575602</td>\n",
       "      <td>-1.415538</td>\n",
       "      <td>-0.996541</td>\n",
       "      <td>-1.507053</td>\n",
       "      <td>-0.84896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-04</th>\n",
       "      <td>-1.205789</td>\n",
       "      <td>-0.859134</td>\n",
       "      <td>-1.302538</td>\n",
       "      <td>-0.496230</td>\n",
       "      <td>-1.507053</td>\n",
       "      <td>-0.84896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-05</th>\n",
       "      <td>-1.180570</td>\n",
       "      <td>0.602568</td>\n",
       "      <td>-1.189539</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-1.507053</td>\n",
       "      <td>-0.84896</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Mid    Volume       day  dayofweek     month     year\n",
       "Date                                                                  \n",
       "2017-01-01 -1.223794 -1.117004 -1.641538   1.505013 -1.507053 -0.84896\n",
       "2017-01-02 -1.215914 -0.884555 -1.528538  -1.496852 -1.507053 -0.84896\n",
       "2017-01-03 -1.210586 -0.575602 -1.415538  -0.996541 -1.507053 -0.84896\n",
       "2017-01-04 -1.205789 -0.859134 -1.302538  -0.496230 -1.507053 -0.84896\n",
       "2017-01-05 -1.180570  0.602568 -1.189539   0.004081 -1.507053 -0.84896"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#mean = recent_data.Volume.mean(axis=0)\n",
    "#std = recent_data.Volume.std(axis=0)\n",
    "\n",
    "#recent_data.Volume = (recent_data.Volume - mean) / std\n",
    "mean = recent_data.mean(axis=0)\n",
    "std = recent_data.std(axis=0)\n",
    "\n",
    "# zscore normalization\n",
    "recent_data = ( recent_data - mean ) / std\n",
    "recent_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "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>Mid</th>\n",
       "      <th>Volume</th>\n",
       "      <th>day</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-09-11</th>\n",
       "      <td>0.120863</td>\n",
       "      <td>-0.772804</td>\n",
       "      <td>-0.511540</td>\n",
       "      <td>-0.996541</td>\n",
       "      <td>1.003337</td>\n",
       "      <td>1.175991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-12</th>\n",
       "      <td>0.125698</td>\n",
       "      <td>-0.787023</td>\n",
       "      <td>-0.398541</td>\n",
       "      <td>-0.496230</td>\n",
       "      <td>1.003337</td>\n",
       "      <td>1.175991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-13</th>\n",
       "      <td>0.166416</td>\n",
       "      <td>-0.676516</td>\n",
       "      <td>-0.285541</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>1.003337</td>\n",
       "      <td>1.175991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-14</th>\n",
       "      <td>0.178528</td>\n",
       "      <td>-0.773378</td>\n",
       "      <td>-0.172541</td>\n",
       "      <td>0.504392</td>\n",
       "      <td>1.003337</td>\n",
       "      <td>1.175991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-15</th>\n",
       "      <td>0.175808</td>\n",
       "      <td>-1.067961</td>\n",
       "      <td>-0.059541</td>\n",
       "      <td>1.004702</td>\n",
       "      <td>1.003337</td>\n",
       "      <td>1.175991</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Mid    Volume       day  dayofweek     month      year\n",
       "Date                                                                   \n",
       "2018-09-11  0.120863 -0.772804 -0.511540  -0.996541  1.003337  1.175991\n",
       "2018-09-12  0.125698 -0.787023 -0.398541  -0.496230  1.003337  1.175991\n",
       "2018-09-13  0.166416 -0.676516 -0.285541   0.004081  1.003337  1.175991\n",
       "2018-09-14  0.178528 -0.773378 -0.172541   0.504392  1.003337  1.175991\n",
       "2018-09-15  0.175808 -1.067961 -0.059541   1.004702  1.003337  1.175991"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recent_data.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(551, 62, 613)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_size = int(len(recent_data) * 0.90)\n",
    "test_size = len(recent_data) - train_size\n",
    "label = ['Mid']\n",
    "feats = [c for c in recent_data.columns if c not in label]\n",
    "train = recent_data[:train_size]\n",
    "test = recent_data[train_size:]\n",
    "len(train), len(test), len(train) + len(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = train[feats]\n",
    "y_train = train[label]\n",
    "X_test = test[feats]\n",
    "y_test = test[label]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Dense(32, input_dim=5, activation='relu'))\n",
    "model.add(Dense(16, activation='relu'))\n",
    "model.add(Dense(8, activation='relu'))\n",
    "model.add(Dense(4, activation='relu'))\n",
    "model.add(Dense(1))\n",
    "model.compile(loss='mean_squared_error', optimizer='nadam')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Epoch 50/300\n",
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      "Epoch 52/300\n",
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      "Epoch 54/300\n",
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      "Epoch 56/300\n",
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      "Epoch 57/300\n",
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      "Epoch 58/300\n",
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      "Epoch 59/300\n",
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      "Epoch 60/300\n",
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      "Epoch 61/300\n",
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      "Epoch 62/300\n",
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      "Epoch 63/300\n",
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      "Epoch 65/300\n",
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      "Epoch 66/300\n",
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      "Epoch 67/300\n",
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      "Epoch 68/300\n",
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      "Epoch 69/300\n",
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      "Epoch 70/300\n",
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      "Epoch 71/300\n",
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      "Epoch 72/300\n",
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      "Epoch 73/300\n",
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      "Epoch 74/300\n",
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      "Epoch 75/300\n",
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      "Epoch 76/300\n",
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      "Epoch 77/300\n",
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      "Epoch 78/300\n",
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      "Epoch 79/300\n",
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      "Epoch 80/300\n",
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      "Epoch 81/300\n",
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      "Epoch 82/300\n",
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      "Epoch 83/300\n",
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      "Epoch 84/300\n",
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      "Epoch 85/300\n",
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      "Epoch 86/300\n",
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      "Epoch 87/300\n",
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      "Epoch 88/300\n",
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      "Epoch 89/300\n",
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      "Epoch 90/300\n",
      "551/551 [==============================] - 0s 129us/step - loss: 0.0231\n",
      "Epoch 91/300\n",
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      "Epoch 92/300\n",
      "551/551 [==============================] - 0s 218us/step - loss: 0.0230\n",
      "Epoch 93/300\n",
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      "Epoch 94/300\n",
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      "Epoch 95/300\n",
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      "Epoch 96/300\n",
      "551/551 [==============================] - 0s 193us/step - loss: 0.0218\n",
      "Epoch 97/300\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "551/551 [==============================] - 0s 210us/step - loss: 0.0197\n",
      "Epoch 98/300\n",
      "551/551 [==============================] - 0s 111us/step - loss: 0.0206\n",
      "Epoch 99/300\n",
      "551/551 [==============================] - 0s 148us/step - loss: 0.0206\n",
      "Epoch 100/300\n",
      "551/551 [==============================] - 0s 225us/step - loss: 0.0222\n",
      "Epoch 101/300\n",
      "551/551 [==============================] - 0s 224us/step - loss: 0.0197\n",
      "Epoch 102/300\n",
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      "Epoch 103/300\n",
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      "Epoch 192/300\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "551/551 [==============================] - 0s 86us/step - loss: 0.0193\n",
      "Epoch 193/300\n",
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      "Epoch 255/300\n",
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      "Epoch 271/300\n",
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      "Epoch 272/300\n",
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      "Epoch 274/300\n",
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      "Epoch 275/300\n",
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      "Epoch 276/300\n",
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      "Epoch 277/300\n",
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      "Epoch 278/300\n",
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      "Epoch 279/300\n",
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      "Epoch 281/300\n",
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      "Epoch 282/300\n",
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      "Epoch 283/300\n",
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      "Epoch 284/300\n",
      "551/551 [==============================] - 0s 239us/step - loss: 0.0140\n",
      "Epoch 285/300\n",
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      "Epoch 286/300\n",
      "551/551 [==============================] - 0s 227us/step - loss: 0.0110\n",
      "Epoch 287/300\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "551/551 [==============================] - 0s 234us/step - loss: 0.0150\n",
      "Epoch 288/300\n",
      "551/551 [==============================] - 0s 176us/step - loss: 0.0107\n",
      "Epoch 289/300\n",
      "551/551 [==============================] - 0s 141us/step - loss: 0.0128\n",
      "Epoch 290/300\n",
      "551/551 [==============================] - 0s 235us/step - loss: 0.0103\n",
      "Epoch 291/300\n",
      "551/551 [==============================] - 0s 158us/step - loss: 0.0100\n",
      "Epoch 292/300\n",
      "551/551 [==============================] - 0s 181us/step - loss: 0.0095\n",
      "Epoch 293/300\n",
      "551/551 [==============================] - 0s 149us/step - loss: 0.0095\n",
      "Epoch 294/300\n",
      "551/551 [==============================] - 0s 90us/step - loss: 0.0093\n",
      "Epoch 295/300\n",
      "551/551 [==============================] - 0s 177us/step - loss: 0.0094\n",
      "Epoch 296/300\n",
      "551/551 [==============================] - 0s 137us/step - loss: 0.0096\n",
      "Epoch 297/300\n",
      "551/551 [==============================] - 0s 195us/step - loss: 0.0105\n",
      "Epoch 298/300\n",
      "551/551 [==============================] - 0s 127us/step - loss: 0.0107\n",
      "Epoch 299/300\n",
      "551/551 [==============================] - 0s 457us/step - loss: 0.0091\n",
      "Epoch 300/300\n",
      "551/551 [==============================] - 0s 101us/step - loss: 0.0097\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f8e8b890080>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(X_train, y_train, epochs=300, batch_size=32, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Score: 0.01 MSE (0.10 RMSE)\n",
      "Test Score: 0.60 MSE (0.78 RMSE)\n"
     ]
    }
   ],
   "source": [
    "# Estimate model performance\n",
    "trainScore = model.evaluate(X_train, y_train, verbose=0)\n",
    "print('Train Score: %.2f MSE (%.2f RMSE)' % (trainScore, math.sqrt(trainScore)))\n",
    "\n",
    "testScore = model.evaluate(X_test, y_test, verbose=0)\n",
    "print('Test Score: %.2f MSE (%.2f RMSE)' % (testScore, math.sqrt(testScore)))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainPredict = model.predict(X_train)\n",
    "testPredict = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "#enche as previsoes de teste de NaN para o plot\n",
    "for i in range(len(trainPredict)):\n",
    "    testPredict = np.insert(testPredict, 0, np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot baseline and predictions\n",
    "plt.plot(recent_data.reset_index().drop(['Volume','day','dayofweek','month','year','Date'],axis=1))\n",
    "plt.plot(trainPredict)\n",
    "plt.plot(testPredict)\n",
    "plt.rcParams['figure.figsize'] = [20, 10]\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f8e806542b0>]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(recent_data.reset_index().drop(['Mid','day','dayofweek','month','year','Date'],axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "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>Volume</th>\n",
       "      <th>day</th>\n",
       "      <th>dayofweek</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-01-01</th>\n",
       "      <td>-1.117004</td>\n",
       "      <td>-1.641538</td>\n",
       "      <td>1.505013</td>\n",
       "      <td>-1.507053</td>\n",
       "      <td>-0.84896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-02</th>\n",
       "      <td>-0.884555</td>\n",
       "      <td>-1.528538</td>\n",
       "      <td>-1.496852</td>\n",
       "      <td>-1.507053</td>\n",
       "      <td>-0.84896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-03</th>\n",
       "      <td>-0.575602</td>\n",
       "      <td>-1.415538</td>\n",
       "      <td>-0.996541</td>\n",
       "      <td>-1.507053</td>\n",
       "      <td>-0.84896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-04</th>\n",
       "      <td>-0.859134</td>\n",
       "      <td>-1.302538</td>\n",
       "      <td>-0.496230</td>\n",
       "      <td>-1.507053</td>\n",
       "      <td>-0.84896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-01-05</th>\n",
       "      <td>0.602568</td>\n",
       "      <td>-1.189539</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-1.507053</td>\n",
       "      <td>-0.84896</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Volume       day  dayofweek     month     year\n",
       "Date                                                        \n",
       "2017-01-01 -1.117004 -1.641538   1.505013 -1.507053 -0.84896\n",
       "2017-01-02 -0.884555 -1.528538  -1.496852 -1.507053 -0.84896\n",
       "2017-01-03 -0.575602 -1.415538  -0.996541 -1.507053 -0.84896\n",
       "2017-01-04 -0.859134 -1.302538  -0.496230 -1.507053 -0.84896\n",
       "2017-01-05  0.602568 -1.189539   0.004081 -1.507053 -0.84896"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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