{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "n8ibOnwUCzji"
   },
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<h1 align=center> Project 3: Deep Learning and Stock Price Prediction</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "AUkphK4WCzjk",
    "outputId": "c4c99b94-e462-4358-947d-fd86aa8b3d16"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Requirement already satisfied: idna<4,>=2.5 in /home/tylerhoang/Work/anaconda3/lib/python3.13/site-packages (from requests>=2.31->yfinance) (3.11)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /home/tylerhoang/Work/anaconda3/lib/python3.13/site-packages (from requests>=2.31->yfinance) (2.5.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install tensorflow\n",
    "!pip install plotly\n",
    "!pip install yfinance\n",
    "#!pip install --upgrade yfinance==0.2.54\n",
    "!pip install --upgrade yfinance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "qQBd7_ZiCzjn"
   },
   "source": [
    "## 1. Importing the Modules"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9cmou5vACzjn"
   },
   "source": [
    "Load the usual modules that we use to collect, clean, process, and visualize the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "WxpcQK9MWJtf"
   },
   "outputs": [],
   "source": [
    "import math\n",
    "import yfinance as yf\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.graph_objects as go\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "W7XO0-M9Czjo"
   },
   "source": [
    "Load the modules for building the neural network model. We will be using the `sklearn` and the `tensorflow` module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "4VVWjCnkCzjo"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2026-02-17 15:12:42.634822: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
      "To enable the following instructions: SSE4.1 SSE4.2 AVX AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "from tensorflow.keras import layers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "_ylHPnEICzjp"
   },
   "source": [
    "## 2. Collect the Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 286
    },
    "id": "BxLnQWC9Czjp",
    "outputId": "b31d23fe-bee8-4d5f-ff11-5025a7dc44e0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
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       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>Price</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Open</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ticker</th>\n",
       "      <th>WMT</th>\n",
       "      <th>WMT</th>\n",
       "      <th>WMT</th>\n",
       "      <th>WMT</th>\n",
       "      <th>WMT</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>2022-08-25</th>\n",
       "      <td>43.499287</td>\n",
       "      <td>43.537706</td>\n",
       "      <td>43.230355</td>\n",
       "      <td>43.310396</td>\n",
       "      <td>19414500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-26</th>\n",
       "      <td>42.132236</td>\n",
       "      <td>43.806639</td>\n",
       "      <td>42.103420</td>\n",
       "      <td>43.576127</td>\n",
       "      <td>21331800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-29</th>\n",
       "      <td>42.542027</td>\n",
       "      <td>42.858980</td>\n",
       "      <td>41.808875</td>\n",
       "      <td>41.885714</td>\n",
       "      <td>17381700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-30</th>\n",
       "      <td>42.413963</td>\n",
       "      <td>42.788543</td>\n",
       "      <td>42.177050</td>\n",
       "      <td>42.689296</td>\n",
       "      <td>14468100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2022-08-31</th>\n",
       "      <td>42.436371</td>\n",
       "      <td>42.833362</td>\n",
       "      <td>42.237873</td>\n",
       "      <td>42.510004</td>\n",
       "      <td>22460700</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Price           Close       High        Low       Open    Volume\n",
       "Ticker            WMT        WMT        WMT        WMT       WMT\n",
       "Date                                                            \n",
       "2022-08-25  43.499287  43.537706  43.230355  43.310396  19414500\n",
       "2022-08-26  42.132236  43.806639  42.103420  43.576127  21331800\n",
       "2022-08-29  42.542027  42.858980  41.808875  41.885714  17381700\n",
       "2022-08-30  42.413963  42.788543  42.177050  42.689296  14468100\n",
       "2022-08-31  42.436371  42.833362  42.237873  42.510004  22460700"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stock = yf.download(\"WMT\", start='2000-01-01', end='2022-09-01')\n",
    "stock.head()\n",
    "stock.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-rcpKKhTCzjp"
   },
   "source": [
    "Let us visualize the historical price of the stock. We will plot a candlestick chart using the `plotly` module."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 542
    },
    "id": "ph05WdKGWS8m",
    "outputId": "72d8f9dd-3867-449d-c5cd-91ad7272e53d"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "close": {
          "bdata": 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          "dtype": "f8"
         },
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",
          "dtype": "f8"
         },
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",
          "dtype": "f8"
         },
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eJ0CvLSR3S9wnQL+VDcVzCihAIAardZdwJ0AAAADAe+knQPzyPhiz1SdAMW3Zqz6kJ0B/y02Te+knQLccm/T+2CdAT3xsNI+RJ0B3WEyuiqcnQC1TXbWMnCdAiTRVPSWjJ0CZmnGdnFonQBEHT9c7rydANc+LMvUEKEAvahDFobMnQGCZlF6KpydA/MEHt9Y7J0DBca5M2DAnQKSNg81xNydAyq3PVq0NJ0DGErnnIj8nQKDa+8OPAChADTkv8fjuJ0BKdnpffzYoQNGqA9+dbihAIjXDOHG5KECkwfNiwdIoQAGAZBdE+ShAAAAA4MUUKUClXltURPkoQAxkkoS/xyhAbhCGAcPoKECo4doz2sgoQKq4vRy9sShAv9iPxybMKEBhghfeupAoQIeSJW40PihAonNoE7ZZKEDfESHhLfwnQHpUol7G9ydAhYkmkutxKEBcbUnwrQEoQLs3gLK0TihAXhkv9W2NKEAxV/XCRxopQFzfKZDvuilAqwpQquqDKUCHnn5fSjspQNJi1HgbZSlA/kEQZEHYKEDSrIh/U54pQGYOjvxTqSlA8QiGRR+cKUCfAVUKtGApQHCHi1JKOylASEH/v85sKUAo8B9dLhkpQDiZLE03kilA24rLXNW5KUD6It/NWuspQJIvf2ra8ClAzcSg+UIAKkC4qEI3UYgpQPaGpCAEhSlAZ7HmhNjaKUAeRZPY06MpQP12tcpY4ClAwvIBy18iKkCLIWTCcegqQIZCBQNz8ypAP3EZ2Wy8KkB3wYbh9A4rQAv5hXehySpAghuenxQ1KkDeOs7sZm8qQEqO8+A5uipAiztKy4z/KkBVCZP6aZsqQBn8bIzoiipAQVrunOqgKkC+fWk9P/EqQPV4JOexeStAVtRxSnxhK0AiueitJhcrQB8kNJwmFytAJto9eIbEKkB1lYWQ950qQBI0MZTiZipAkemUe/+zKkBoHI3wl68qQLtPyfW2+ClAeOLwhhGbKUDkGUVjDZApQE7USMzyTSlA1e48W1J9KUCjv8gs/GMpQP///z8r3SlA4JJwibHtKUDPZQsWxBkqQPTDrWZFHypANHhyMtVFKkAAt2kdMOgpQHsniFK/DipAC3vKsWgyKUABSYRX800pQHjk9utFXClAgg4To0nlKEBgJgwWzOooQHoB8WGdcShAOOonDTCjKEB9WZC4dQ4oQJ3ev8l9JChAe237KGntJ0Bf7nvzGmwoQDxzhNUNSyhA78qsaYLuJ0C4WaNmcYEnQJB8zn8ENShAyJHjoeryJ0CX1GcjwMUnQF+n64eDKydAqkQby7q+KEC5SC0aKM4oQLJ1bShBzyhAm4ThL2AcKUBPy93QcEgpQFLWvuHM6ihAEVm+1ZhmKEAOpgl8j1AoQHZu/IsrVyhARA3pJmDXJ0Dc478ySqAnQKDed1gnSCdAXSsPpEqgJ0Bz7E5X+FAnQACc/Gf4ziZAg1NdEc2lJ0A9DQn5AKgnQA1r7wCdLCdAsH664lK2J0Cki41wHncoQJ/ht9MQVihA4i/uREbaKEDGT3+CDksoQGNo1tKpkihABj4BNfgXKUDtioDFAv4oQAZG83FPtihAd0MkUjzqJ0AYFh3/l7gnQFZysaNjIShA2iREc9xlJ0AKJHXYUwsoQBnubKizjyhAHjr4uSvUJ0AeWIgY/3EnQIn7NwmN9yZANavdsbfkJ0Dfjl0N7zEoQDGgi3ji+ydAy3ZH2oCXJ0BTCQGCZSsnQKjRcPQLPSdA3P9HVUWUJkCMgjRJuYMmQJek2hXW+SVA9YkzNgfbJEDwybZ3qFYkQFF8NCrc7SNA94zrV/ljI0B6UDDTwRYjQJwuIRfQjSRAKLqBV5hAJEAM411x3cMkQP6+8BdsHyVAVvvGB08+JUAZ/elSNx0lQOOu/B+oViRAPgkHplDdI0CP4o+B36MkQHSKWfEP5iRAkOhxVJPrJEDrGmZ6m/YkQFMq9Br4xCRAVHYdnyHcJEBRxn350kMlQH7I1GX52yZAUbfpCVlgJ0BCoO9lddYmQHAQBoHMTydAUIcT48REJ0BtV3MbxUQnQC2K2yatIydAm9x4h33hJkDNbeKXlAInQC/pk6VlwCZAfI+yJPSwJkBy7fVdhewmQOk7IEPpxSZAiXYcg85ZJkDEIbKo1vklQPAasagGPCZAjTDtSNmvJkBnQ3+TKR4nQIK/jj003ydASXnfUtRaJ0AtgLa8seMmQKsXBHzseydAnxtN8FsWKEAYRsOVWiYnQAIOuq0XeCdAQ/U2lvosJ0Cu5ym44CsnQCuaxBoKZSZAJfVCwjmRJkBHTciiUacmQCsSdXQq+iZAhipA6DwdJkAyMsfYNT8lQFHOMzwNUCZAykh+ChMmJkCnN+s5xg0mQPkTj2m3FyZAOGF3oBr8JUBwELGEd7MmQEh0EY4C5iVA39Qz6WxJJkCQQj5cPDonQBqwyn8U7CdADP9AWvlJKED4ZaK2G8ooQBWtDqt5uydARkKxVvlJKEAZ2HRrO1coQChfYAn9NChAkQfRF+qyKEDfTrpf9l4oQFvqMDfnxyhAl9ki93m7J0CWJz8ma8UnQAAAAABOGydAgKU097gfJ0AQWdJB34onQPzQ59ZcESdAATKtCGh7J0BW757jrHMnQFP2hl8DTSdASbPJBm5RJ0D3OFat0yAnQFjjfrmMPSdArLukuQDBJ0Aq7mK/cPonQKQUyLgX1ydAlFtzQcUqJ0CZI1W5EuQmQDRnhHMyeSdAzWkiy5hIJ0As3dIyQxAnQI27Vmi8CidA/0LRISr6JkApi7vRwZ4nQICNWy2GJShA68odNP12J0DLU7/J90EnQCEpUludfSdATzdTc+/CJkBJ7BSz9+ImQLhgggmfYCZAJhTZXv5ZJkD6wA6UtIsmQE7vsLGZKyZAhQtiaerPJUD9XNTChF8mQKfJntllBCZASRg+v6+pJUC7owAoHK4lQB9KNMvv1SVAnnOXvN1NJUAN6aIPVkglQCa06FhPZyVAlfiI+2A+JUADdEdirt0lQH5g1oY24yVAfjaQHWlNJkBMEWXjbbElQH9kiL+0viVAfyoas43HJUDwCoiRRu4lQLEkzP20byZAHmhOgYROJkAQn37j7QkmQPXq6tK1OyZAZU4RVP4UJkCTu3G0fbwlQCRplDUMoyVAbAj01eMuJUBO5krgy8UkQBibEDtN6iRA+sP1IfVUJEAjVyXifFokQAqUwv720SRAPyArWTjKJECs7QpEjWUkQOR0anebpCRAxSYK8ObGJECMuRAUzZEkQG/oed1d9SRArWtKcr2GJEAz0sgVTTkkQGKYJ8QEYCRAbSFpmuN9JEAHAKTuVJckQEnN0yU6liRAaImWkJV0JUD4nP2cazQlQCdwihQ8EyVA8gZ1x9XvJEAIY/M/fQslQFN6XLFmbiRAutACnZ/tJEDXyIVglcMkQH6ykrw93yRAJeh8+G0AJUAPiGIPDb4kQIZUt554RSRA3ezw3TSBJEDmwvcLXUQkQC/KsAfSpiRAZnPSRq17JEB4Wz8saDokQAJTxBNe9SRAEP8/4P1jJUB2NIjf/WMlQJ0pfIZ5WCZAaEBie4rAJkB9FttaRdImQB/t6zPDFCdAq4ghvwOIJ0B+FgRGMMcmQAm2kIimEydAq6H360zxJkBWEwShn/QmQL2CzlHqXSZAltQ04ZCNJkAhmfO9n/QmQFPo4ujzSSdAzDe1SfRJJ0CBCUk5nR0oQJXQPBFxjCdAABWq+xCdJ0CWVQ3+Iy0nQDmPQUcyaydAHGf/fhXvJkC884MvXIEnQJ/1J9sR7ydA7ISwq/WbJ0D9iUjUef0nQAaGLYRPlSdAED1b00L7J0Be0b+RiDsoQF4yLskf2ydAsx81BO/OJ0Ds2HyxuUcoQDYpbJoV5ShAUjHc5TZhKED0Ip5sjt8nQLNjxpJeTihAIy+h4TQPKEB4NB0kxzMoQEzTlXHupSdA3Hdaac0AKEBrYWoxnB0oQPzxpyQnIyhAACCUYHMwKEDwQx6ofk8nQAWHJLBh/CZADk+v72fJJkCRZKfqrLcmQHOrT54i2yZAo1FVCYPKJkAMwci5l9UmQF+h7PJ6giZAcPe9RvjEJkAJXKP9FRgnQLL1+X4p0SZAAQ2/It3sJkDWLws6uswmQO1Wytn47SZAt0aHkWH8JkBvKdrmf8onQEVZe++TWidAc2wgU3GMJ0DYB6X4VrQnQGhT4R01DyhAcy0s3wnQJ0CxrMPKM5QnQOXVpGxViydAYaq2U0PIJ0CJoqsnqfQnQGJLjW8pvSdA6kk7JHdvJ0Bgw8Az6mknQKe6ke8pvSdALrjPy7ZTJ0BVhC7ZaaEnQBK7e5PqaSdAh61m4WkyJ0DmnRJLRr4nQJnnb7BoEChAc1gb/IIbKEChiWiuaH8oQKJvxu+clShA8CuqZXHyJ0DBxr/SKCwoQEZFAO812ChA1yd4RMm/KEB3iInncNAoQBRK09SCiihA5V29NE90KECYgDbLQqYoQBZeh6F1TShAl3rGCQiuKED/GjUE6bYoQE019KyhEihAoDqpfP9cKECrGhyJq1koQHRTQzApLChAjRS0n6hjKEDjFGXF1CgoQAcwZZZ+wCdASTl9bU8FKEAsB5sVBdonQKIsF50wfShADkULxG3aKEDg7fqilhgpQB8Fow51KylArR2BFmhdKUCIBiE4rS0pQKOQ7F11KylACq1U4WddKUAxDAcrdJopQIonmrbbVylA2mjnaER6KUCE/pvwvsUpQMq8qDFOUilADZSUY+92KUABdUPYp7ApQDHs4T2osClAkkxFLXSaKUCC52jwdpApQGAoQsNa/ilAtvJO43MJKkDA7SyJAaApQHl7n+v1YilA7d7UzixlKUDB6yT5EIYoQLBR55sCwihAsjp/SuPKKEBXXjVWaO4oQPG+ImWTIilA0jFzPcc4KUDvjy3lnfooQCqB5z3Z8ihAAOzNcH8DKUAftaPMGdcoQIkZ1axUzyhAmqBh6WaJKEBiuNo7nJUoQFBQeWrg1ChA7Pv2GZepKECwuPoHIUooQJcpi3+RvShAukN6w4QqKUCj48tFRgApQP0TmngrEylAiz5njkCfKUDX/jFXQ7MpQE5qaHUaYilA1Sym5+BfKUAHejInzJApQNWKLlgNxSlAndQsSSayKUBNqD6G9OEpQAAAACBBnylA6KXliZOOKUCnyvoy65spQLfXr4TBQClAKiWLsAJ/KUCObeiBTjwpQHeKr0u7GClApG/+sTltKUCScJxgk44pQKZ55z4DiSlAUY5zSK6FKUCqEDyMPYspQDQP8S9zeSlAi8QQTi8nKUA5Nxt4dIMpQK0b1WH9VilANGboPYg+KUC1fb1XNE8pQMcCGXCjeChASwsjJV4cKEAAAACgjuInQHcPZGOr4ydAzomcBRa2J0CQFhN2O/MnQPgPE4TK+CdAz3gJSTzzJ0BdoMYpu1EoQFJs4i70UyhAvD0T4EIlKEAcRAogtSkoQJfhZkISmCdAwChib3IkJ0C3kCQ2xhMnQC06TlCI8yZABr7Vv5I5J0CsG0A2zDsnQFrjgf8W+SZAXwnfbOIUJ0CEikUk/AEnQNDUDST9CydAR1kK+9wlJkA4Mxc6VVImQN7+Nj1LAidAY5elvQXsJkA90IN9UKomQGtlfvRoAydAglg5R537JkCrc36A0cImQLQHuWzo6iZALI+KM/oIJ0AHm7kA+ggnQBMp45eGNSdAEuAG5UX4JkCyAMOQKMYmQFU5veFoNCdAV3RjS4GNJ0B+BLQNQB8nQOKl+r7/4SZAmioXLpzKJkDK4yRj0fMmQEDavk16ISdA3shkCe9WJ0Dw04R8ui0nQFo7+a9oAydAFw7ihx1FJ0BWUO/FAEQnQNOr9IJqlidAagM0lJm1J0DJ4GfK6q4nQFsPsUvdOCdAr8IpfcGZJ0AAHQoCMZQnQBaJaU3CyidAgEfF4bfnJ0DvPnFO1UooQLjBwzNWlChAxxNarZbRKEBz/vUEudwoQMhfP+X6GSlAbeHCbGiyKECIq4RjxvAoQK3xFYtX9ihAxYlfx9cOKUBfB7srqlEpQC7LbIFaiSlAfBvMLsPbKUD/////jhQqQDFgmNVI/ilAAPcD9KvkKUDNhG22TtcpQL+WrJpg9SlANtnPraxGKkBTDhUHA+gpQBPHJAJWdCpA1jbw8jlzKkBmtqEOsh8qQCYbGdVmMCpAvwFSVo8UKkAkTghS6l0pQNn2mVpGOilALLMEqfVAKUCXE2yTqVEpQOalT+qORilABt898aZaKUDocNNMyKgpQBMgc49kaylA/P0ZbMRbKUCJfKNsR2opQDqFGF9u1SlA8PJqc6kHKkCMFWUiFAIqQM3cLBj8HSpAB7BZrSsWKkCl+5benp0pQGF6EJKGuSlAYmwMC2qIKUDbWLIdt4EpQAP8eh4LmClA+iNYQMpIKUCJt5qg9sMoQHbcctvvBilAVyO+vj+gKECvW8DGSAopQOqpCkE7YClAFZ5FTuhJKUD6rsGIt4EpQOyge5qc8ChA9pVxtc9lKUC09DtHlGMpQLASZmLanylANsD/I6ZaKUCSxiaRWWEpQIrS817WUilA2MBgzzswKUCu8enKSdooQBoWwjikrShAl2d8hYFfKEDOp0RWWFQoQOvJF9+KvCdAU6Q0ip9TJ0BwOTlFmxMoQABpmIWXlidAWB3Dqr8BKEDA5ZneiBwoQEjbKqz70ydAh/1HVqEAKEB1qe2I6E4oQE+DIRLs8CdA5kh26ooJKEBxT/emvycoQCoYbpOj9ydAVWXTheofKEDBV4PSe0EoQCpvzC4RdihA4e3+2uI7KECAH+rXxDooQLdBQVkEfyhAa59ZT+XuKEDKxazL28goQGHjjSxGBSlATWAxrT8hKUAGJAqUahkpQKTzrmi9xyhA3ljacSXCKED6NogivccoQG4RxONseShAEYMADEhlKEBwffnV6h8oQHsGaMGtrCdAo1IJxF6gJ0DSlyfKqmonQGC8J+T4didAqJH9QsPnJkC4SoEzY9EmQJK0T30UxSZA1uDwu/Y0J0DuMRP/47kmQJDS8U6EoyZAKGuesKzKJkDQcarvs64mQIZDSuVE0CZAy1lbRpGaJkDLF0EGoNMmQA50KPNgACdAwYxHU8EWJ0A4ZnAmzg0nQOLDeSm8AydANwcSbdXxJkCt7WNODVInQGCE9GHNDSdAewSHBZYeJ0AvQOMA9zQnQFRAJMGIJydArrXoWDuMJ0BuZs0Nm6InQHraxvTuUCdADoLT4QIsJ0AXTapI5SonQE0YwO+28CZAKfnBysYpJ0DWNEvQ5LkmQGQ+cBpjYCZARNxBQ1OYJkDSCjGzTLQmQN4QryDJ+iZAg8ebMYknJ0DNv64Qt2EnQAcYoJJKxSdAZ42zGnz2J0A9XpDf5cInQEzAO+9b9SdAwHa6EcuTJ0CSAHPxXqInQFYqttdeoidA14pFAvunJ0CngGhsy5MnQB5ojtKCdSdA4SN9FWJPJ0AkTfJvRfsmQJ7kKRbm0iZAAAAA4N5TJ0AdnrnApkgnQHYZa69wPSdA7WKXhM1AJ0DJ0Osz4QAnQC0Oo+pcfSdAhTTia4N1J0BfuzGo/FQnQArFmHBnISdAxK1q0SgfJ0Cz0Q2gQ9YmQFhkfFw3DSdA1CJ/U+3JJkCNtWO21+QmQBS3Jp/KGydAbgDCPfQ4J0DmzSapbRgnQAwPl8r4CidAThi0vDYNJ0CSBOma528nQLSDSpmididAw+9o1kJOJ0D3Z526z2UnQHdiQGCpbSdAyfM2nM9lJ0BZVxNarj8nQBQCgRQAAidAJtDdjNQ3J0BsMdauNw0nQN9mx749BCdAOLSpdCb6JkDuUKAKEzonQEbnk5F1DydAsI5Oucj2JkA5e2YLkusmQL45SLeB2CZAbpcBcVTpJkB/quYJ4QAnQC/XP010hydAmkCGL8uTJ0C4qdbfAZ8nQAADAstwPSdAjXTKGnT/J0CQIPu+n8knQGWQasZYwChALdMI6fu8KED8gN7Ex9YoQF3tIxMitShAjj6+5p65KEBMbnG1lsIoQPSEZ6c17ShAsxFxmWz4KEDduAjSrB8pQE5DWgUxoyhATyBm7HN3KEDSOitf9U0oQFM4r3+XSihAN7je46qCKEDIAEpOxTkoQP+nr3bxiydASaDVbkNOJ0BSHVR8wv8mQMiq76K6CCdAdi1ImL0tJ0BbkPF0+y8nQG7DyZ7gACdARqAJyLjjJkC0w92vJNUmQCvuqh4m+iZAxqb47m0YJ0DlFB+SAicnQFm4cAwHcSdA+Bc6YdIvJ0ArAwIcoOUmQPBmtVx99iZAflfDvF7sJkCGHH3IO/0mQB/Y1cYvPCdAmkkk8O1LJ0BnqDUrcTUnQN7znecpYCdAFcbeACKNJ0BLiVeeLU4nQPEKhY2fmidAQJe66N6cJ0BZBbCXg34nQIZ/tDp8qydA2g/D6Fi8J0CzMoJWPqAnQHLVQ+6ChydAbPo/IaKIJ0A7013V98EnQM+do3ghjSdA1yfS/sGJJ0CBZiFNVNcnQKssDgxAlydAmDHjXYdsJ0AaubEejkgnQCl2UQOrWydAeZfexKdtJ0CeyFeyDU0nQKtQl2cQOydA5lvY5LYTJ0ACT+pm2wInQPSM6TK2HCdAxR7ITa5JJ0DwHgotRnMnQHjOFqsAlSdAkxYSDghoJ0CJzcm6kTYnQCvE4caZCSdAxd/n+0DiJkBoc2OlnPcmQMxRBpY2GCdAsiGs0xMpJ0A5pVRg8DknQC2ZNPLxMCdA0YgMqlYZJ0DaaSZjQtkmQHTzvlnIuSZA6d1TQ2+SJkD/bDlLZ78mQJuvctYC1yZAGltrEmLaJkA7SMlM0y8nQOcrTarqXSdAhtdETIxRJ0Bo6PeuVhknQBZX1OjaAidAck7vtHkIJ0CfcBtqvu8mQMTUG2QnvSZAwQMq30ujJkCcHlMXWW0mQAwp3TjfryZAX5VVxnQNJ0Av5TvU/7AmQPkMm/OIiSZAQNZcFBhrJkBtTBBpn3gmQA01XYEIUCZAI6zK6RdrJkDjlTWKF2smQDScV3otWiZA/4idxM0hJkANIom1ErolQBJkQ8vg0iVAk72K8xX4JUBrG1gpkLUlQPRmJZSWiSVAkgFdimFkJUCHb18iqTolQA25g3/NeSVAfGzQyTZRJUCuj5wzuiAlQHRvLNX2GSVAp1tJ9OsHJUCuwU/KdeAkQPBJNCq1FyVAU8Sb53rpJEA3XzuKH7okQAAAAEBcsyRAujQSY4iRJEDnTNkqnbUkQO4mJrVFxCRAigbQdXvpJEDhjl8CofMkQCFJ0Go2USVABEAMIZNLJUCWpJdA84MlQB79QZeWiSVAZ8zM3tyUJUAHXof/rHglQLnyISPPnCRAYTtJM3XgJEAoTdn1A8IkQMY7f6qiviRA71IbWoHOJECok2+GNSIlQDXsvF6S8SRA3ZObPqfpJECpgZCbBxglQD3eVd4k/yRAob84jzn3JEDrfyPFeN8kQIoCQHQ69yRAnVixjZrgJEDLfYQuVyMlQORPbIPAQCVANqALburrJECIFQvkyC8lQH57qS7dJyVAnnwv7YkCJUDwpyTJ0B4lQEP63GBwNSVAUt1VC/JkJUCb8Z6dyxgmQBLCcza79SVAmLTNDmP7JUDLL5UdyHQlQG4849aMpiVAY9B8uZ6EJUAzw9erzI4lQDcMccAUISVAQN15ri3uJEBjzzxXgRMlQLhN4dVOeSVAPqdHmuVbJUBl4BaFt1ElQG42BFXM0yVAAYIKUZ4OJkDo7BEqNawlQD3cZaqI0SVAFB0S9LIGJkBheey6NPElQOg5Z0cCEiZAqtL6xtw7JkAIqv4pY0AmQCaFMBkHLCZAS+IqlYgWJkC6dw6Xw+QlQIQLtIS79SVA3AVlVvrdJUA1HEkGouMlQHqKg0nx7iVACImFdD3gJUDzOSvDAhImQBLCcza79SVAuX9xMK7sJUDSx155E/AlQJLQCmSA4iVA2kwdapn0JUCveC4s3bElQFndS53Y3CVADtFo6IS3JUCXTxUYnsklQGl6mCTyqSVAapMwATGSJUDvmwpWMZIlQFZ3kno5PCVA6BsrTFH4JEDM4nJgkekkQGGJ2J9DACVAM7hpK0LFJECNlg+PdpQkQB4EHHtiiyRA04gpD2FQJED5WNdTgxYkQPpTg5wgJCRAhaFiEg0bJECd23g3GxMkQN4hP8KG7CNAra6SRDgDJEAsrmXSLeEjQNNWnYVhUCRA0qAeVEg2JEA4bHDX9DskQDms+i3mQyRAWR7pyyKaJEAXoH4GoAYkQOoYuV8o0CNAZncD746YI0DU/fPIuoAjQAy3z+rOiSNAFDOCL4cRI0A6i7qB2dAiQHucUcZMMSNAiE7hGKFmI0B+fIvQUUIjQEnOIX3uFCNAqRfWfyowI0DENStRuUUjQAoUlhfAkSNAI/7hZX9lI0B82kLZUn0jQPigFC4OeyNAAyizU/+CI0AWfGRLwcwjQH8OkAUR8SNALFvQiQL5I0DftH432uYjQGK1g9efBiRAZPlt0fgRJECS5aqL5AgkQPQ0zq3zACRADUhmPbF0JEBgQc00tUokQM3txgvibSRAiml3qiFfJEBGGOKPfQUkQP3SeYsgJCRAhh4nMxHxI0Di8zLIBG8kQL4mOsDB4iRA0rMNtca4JED0axu8nEYlQNemGW6IAiVAqenj1Ig9JUCmAgtA6y8lQJfLodpHESVATLZhBftiJUALyj9wPcolQJeAYr2b5iVA6psKjmOhJUDrOhTvHp8lQOZQz1OfvCVAVYWqpfkCJkAsB4fyW/UlQLyHtwqr3iVAr8bx3JhLJkBSiR6M2XcmQGomIf3nbyZACp3w6bAqJkAZtVIzs8UlQBY8nZOPiSVAvuNlqFIzJUAWMc0VIjolQJzatHGqAyVA4QJtKOsvJUBP9KX0YCslQJ23rA06GSVAhp8zp1RuJUCl6TeAAHQlQDlddHdZ/SVAMMrOWD70JUCyrfGtAgsmQK4RnEin1iVAqpeMvMi2JUDQC00t7LclQNt+R7MooSVAI1yp8xaQJUABq7kR2IUlQAAAAMD3RCVA3PweDGJIJUCr75Bu2xolQLOXeweFnCRAWWOp69yOJEC3wMbXi3MkQA+TfnZDUCRA+bQv0AZnJEDRXNf1ojokQJ+IlzpgeiRAMtGS2f+PJEAXM69sIE8kQB3K40xBLyRAHJwz3uTZI0AjOkrvNxYkQN7dPqKSSiRAZqKMSbsBJED5EzReVEAkQEx3GuJmUSRAGh2zynKLJECkxSJPaHIkQAow0mYSoSRAlp5NKqClJEBZubZyPHkkQOiYajKxlSRAGJyRoWhyJEAuUltLzzMkQFjymwS7ASRAKtWxJLHoI0CN5IEKXTgkQOMqtxAFRiRAvw/iRTk3JECNsweHiDEkQGoTSvqMlCRAMQLi6UnUJEC/lKZtQLskQCsWH9+JUiRAqcAYz5RrJEDii0jSozokQLatMzVmUSRAN78sRFRAJEAHfNn7mkIkQMBwrhu0KiRAtw5Al94CJEAjF9ZN7/IjQLBGWASAOSRAk/Vf9loXJECMc+pkfhgkQGSZ4kV+GCRABBFGVc8zJECN3Ej0kCkkQHvrj/haFyRABYfDW9BNJEByuvq8qlQkQK2F81x5yyRAVVsfz5j8JEA6rVj4QIIlQDR6qgwgYSVAEZANjByBJUCxww9fX7slQIl9frYcgSVAP6cUIbJlJUB8QxnSjlQlQMKaPKoecSVAASeF1I1kJUBfkeATBBglQJ2Ly7PB1SRAWGgZ5jDJJEC1Fyg3duskQI46tiINwCRAjiAjIqaEJEBiPWmQPFkkQLHSfJ/MbSRAJ5DeE12CJEBDZr86FXAkQPoDl+7sliRAkwu2IX2rJEADxXxCM7EkQINXmPx4yyRA9kHKtYVbJEBon3D9FmAkQFMxHmxfaiRAGe/8EM1tJECUzL7V81YkQJTlptLKfSRA95ulP6SUJEDBYgfRfKskQLiPZu0H8CRAqyr9jnnLJEC0N0KJuhUlQJuGmiT+RyVAL5gxQkdKJUBW1QLx+18lQKMyWkTfFiVAcfzA1H2jJEDgaDFfjlwlQFgCHdCDViVAamDUZUsOJUASVf6Ylj8lQA/lJHM+LSVAyJxNishQJUB5ugMlwkglQNdemGuk3CVAwK3Xpg82JkCKn9pJt8UlQC0wQFGqtSVAuLo+M0ybJUD4KgicIJIlQHZJEcZFZCVAArBXgPoyJUCni7g7BhQlQFYdr3xRFiVA45VgvTIdJUB2FkVbdhclQHWn7IZRFiVAPJ3alDJMJUBmUido1WAlQG0PfyjWviVAPIaA3DmyJUDqwdL4S5slQDO8gKgHoSVAzyIO4AfQJUA+0GrcwqYlQPtQ2BL1iCVAKGhR0+d4JUC73FKQg1YlQJUmytw/iyVABP05duLOJUAjq7Zx+mElQIPcseUSJCVAJ2/Ve4P4JEAVqL9dY9AkQK/UcrYFtiRAF3L05lyZJEDHF52Nb7EkQMTAX98i8yNANJQKsg+sI0COzOyN0FsjQKU0SWLvJSNAZNnen4thI0CJLB3NNdwjQAoEZwiN7iNAZsySTIa3I0DfUsXpKMwjQLb2Ikqs5yNAmu8JmaWwI0BQeZozuJkjQM9/tlgEKSRAH24YpzXcI0ChJhE/etYjQKj4Ed8J0yNAA4MLZOs3JEDjoDJ+3vgjQBwv1u4WEiRArKTNSIENJEDAr1oTn6gjQNgt8GJCGyRAhaBmmWEUJECdjQfrgA0kQO2nCeR3BiRATajhNbcAJEDPtoFYCBokQCaim5ez6SNAe7NpdDHeI0Ds/t51r9IjQLmUl4hGwCNA4xJcCieZI0A7059SMd4jQGR1NTv6ESRA6j7bpawPJED0bS0XMjIkQMVNfBZAOiRA4vtG2vOLJEAmXbH24WwkQFcf3oVHaCRA7P5QPqeJJEBuNnSq3/0kQIyT9HsxayVACNHo9baNJUA8hz6IDoElQPXENAMd3SVAEhCg0sSVJUDhlY4rFq8lQPUUvgYT7CVALHa2qJT3JUAldFGw538lQMx28Lo8sCVAjWQ5H3z+JUCLLt0Pcg0mQHe6868TQCZAeM+IL7xMJkB6GBC7z9olQGeZl/FmyCVAWU1IbSO3JUCZ2SNtnzwmQH052Q3MwyVAej2buVSpJUAQzF9c2sslQMJFZ7brliVAM9R2QNrLJUConYz5r7MlQASBJ5ojtyVA8m63nXuqJUBAdkyt8sQlQOSgHBPzxCVAB6uZ9nfnJUAiI+OmHTEmQAAAAMA0DydAwOfD+2/yJkCkhGqzN9ImQBw74Y5tLydAmsuxUdofJkCX8wf1lEsmQGYZOldEMiZAqAcma35tJUCAXKh1/bUlQN8ebXiMdSVAt/W4tstvJUDH30JP60IlQGG327gNLSVASJunGv/QJEAQRpBKaOMkQD6csfXnfyVAO7ioPQB5JUAIF+km3Y4lQALjQE6zdiVAf2ZfeO5ZJUDzeF0D2nclQGzSmpWohSVAkaSJBdp3JUCjWEh5B1MlQMh/JkVP6iRAAAAAgLwTJUDorkYj3OYkQFqKW7RSrSRA9RtNaRfKJECvpWedF8okQN7H6Ni15SRAKUaMhd/9JEC/APp42M8kQMGLAwob4SRAnDYObx6kJEAAAACAU7UkQMqh58G7ziRAI44vp6MJJUCco5a5n/okQEtjrEbkzyRAm4DPWeDAJEBDPnilGbskQBGw/s4ghyRA+iBDlkc2JEBFpQtaAKQkQJFA/6ruqiRA1GOnrfnXJEAZgP5CxD4lQG9epE3FkCVARklG9h5uJUCio/sW+yklQG8Xql1fNCVAgYj0ACY6JUBpAw5yjlMlQJNL0Ib7eyVAcBsoT8mfJUCZEvn808wlQFOOvv33viVAYdLm/HbgJUCd8gbVWbolQMzr2DV2jiVAoIGQYPSvJUA9ID2dUu4lQJugc0alrSVA11g6BzK5JUDDo+sk/4olQOChmhd5SyVA2u090EZvJUCGXrDx/oolQMvGZImw2iVA/dAZqlLuJUCfUjzS6dQlQO/xH0Nz0SVAY652qZrSJUBfHo3wMbklQFsVPK7FkCVADJQz2xuxJUDmYJthUpwlQO1OeyZL0CVAA1O8/et4JkAu2chLeIQmQJs41ShCmSZAvMeX/phnJkAIDvRQXm0mQOsdAxmqYCZAJY9juZ7hJUCa63xJdo4lQPlGVNuLliVAzg2JpnF/JUCj/ItgZJUlQAdoF/2krSVA7+8Xq6WtJUCr0Gb4dY4lQNHOT8+VcSVAlAJFMxAyJUCqNOQGMu8kQHWJ0jFLvSRAdHXhptbzJECV+lU6VRQlQNFcXuUCEiVAYU3WwONnJUBNNO7ATpYlQJ8J+2CRwyVAAAAA4NavJUDZQ36UgZAlQLOYmiYWYiVAUX5fKjxGJUAdQh3aHD4lQLq+SGtSVSVAc9KC/YqJJUDu2bYUaMIlQM6YW5uktSVA/TlrZ73hJUBDrDYDofYlQH0Dg+iavCVAP9SbrnR6JUBbtt8ux3wlQBliy9V3lyVA6KVQwnXYJUAkwiBpaMIlQHKHeh1lpSVANZIlOOAGJkDnk0Q6LYsmQKFsXABlAyZAveYQ0MMbJkCn10rU7BwmQGS6I8vA/iVAjZbjzWvfJUCx7uWSH7klQD2Jwg055SVAHXpXvcD+JUCVVQEg1PAlQNcRxDRP9CVAVzR0hljtJUAanxC7h8olQMMwFpxhiCVAERenfNevJUCaVuEcoZglQPMK5IrEvSVApWL8Sc2gJUDIWG5weJ4lQL1nXNr6jCVA0DOh9dN2JUAzYEg2ijUlQIE1j0muWSVAZcWeyuIiJUCBFl0XW1AlQCIByuJ9eyVAqeTlx90+JUCIZJN8VHMlQHJJ3ZGa0CVAtSlpS+3WJkAeOSnmiC8nQE9QH+EX2CZAQPAuZujyJkAxWwY7nbgmQNTufQTIuSZAWSYrG/iXJkCrKpuN1mUmQM5fKYTTcyZAAAAAoH14JkDOu1zpKHYmQAYxskSwSCZAX7xdmVw/JkCXZPr8CS8mQGZUfjFo+SVAE5O60kLcJUAAnZfdxNElQPnSSNlwyCVASnmksLwCJkDu4FUxjhYmQFuP/dKU8yVAI1uVx+YDJkBpncAhPAYmQOeinP7A5iVAvzqcOxAMJkCaRnHtugkmQCFRLwRJuSVAu19s1DBFJkCtq0hO3jQmQKzkRkEsYSZAjFjBC980JkDYmqJyZQ4mQIYqn9E7BiZANGh4A48WJkDDYrPEPP8lQKx1JAieuyVAwaph2+UKJkDhLrMpIqMlQJlJkXkHRyVA6R/hbWcKJUBAvuZbuRolQOA6INXp+CRAFiB4cGYKJUCoAPrjsUQlQGadBAEc0CRA4OUqUFtQJUAaSBEx1W8lQKgK89r3oSVAMefgXpELJUAJCc9Rh0MlQAikzGvnECRAWYBjD3IhJEAbuaSdeLQjQL1syaKkdCRAk/lwOaMAJEC9eMXSk/IjQOY/RdouCyRAdXQgZX8GJEANoIfbXMEjQKWW9WfXCCRAtH547sf6I0B1fnAfaPEjQHIwc6Y4xyNAKuEr7Q/vI0CFsqXKYOojQJoPRv5kyCNA69x/yzPpI0CN+PCX/mwjQPpAZAKSfiNA9YRcjSJnI0C1X2PyLZcjQDwLEqo1niNAd2CT0FmYI0Cap6CjkMkjQHO/3T4I6CNASjjFkJVmJEDPnZTdeHMkQCH2XSCVZiRAIKWBfUlJJEB4CNegmNAjQAAAAGDF0SNADYMFyDvwI0AcC6h7F/YjQL3zoVjfDyRAJz4aV4VYJEANY+qvpHQkQDQ7dYH/nyRAsUWyiLLNJEDw7vgKZ7AkQL8tGAd8nCRAYHm9ALCkJECYt4LkVawlQNUXNcH6gCVAbe7mFH+EJUByi4rJ9C4lQGi8zb2MHiVArl9u5l30JECwG2AbZvskQOJDLNuIgSRAO9vDh7rUJECV+qZGgi8kQDtltHIaHyRAXZOTQz1kJEBVx03tKHgkQD/7BW6AeiRAp+Q8MirsJEB3UKzh0HUkQJGKHKWKNiRAK99cHRZBJECB/dRB9iQkQMbAJZXKIyRAvVYKEQ46JEBM+GQuMcAjQKWVt1VFrCNA6i0TxPeYJECnI+uURColQEb1brIgMCVAD1qq6Fs/JUBtbcxMJQ4lQKCTQPKxzSRANggZ23ucJEB9Shym6rMkQO1tKhwlDiVAyaDkIpu4JECBAtj0hBclQHppPBTjayVAc7N+VFjVJUBEbVHYhNYlQJnok3e9vCVAFW6pbsY3JkCsGzO76jEmQJmJuBkkjCZAzWlKWrR0JkA8/HgEuJ0mQMP/cHSI0CZA3DawmHz7JUDrzI443CUmQFqDsZbE4iVAse5rbEQbJkA0sAq2gSMmQLabmV9EGyZApE3E7Kn8JUCjwiDN+R8mQF35gPBkKSZAP9GM7pEqJkBsoC3m2REmQMyONHkE/yVARXCFeWfMJUAjqZYiMHslQDPKgpLYGyVApfLzyOYOJUB7FQDz4mslQBPGYZToIiVAqJSysOqnJUBLHne46RgmQMMdkKJ+DyZAAAAA4PeaJUCwe16xenYlQPEWESzi3CVAFqE9GecEJkD82u2lw10lQK0oSEm0TCZAsHkegvoVJ0AKAEsLJpImQA25qyzqGCZA8nKevVOTJkAodd7VA3AmQL55ha/ldSZANasm/DFnJ0D5VJe393InQIDC/QqzvSZAA4lkwi3OJkAHidkHMgAmQPRmriZr1iZAQmpvYLl0JkCRXmN/DcAmQGve/jw9RidAqI9KjodBJ0Agk1ptmNcmQIvfuSMICSdAmGrRkd6qJkDmvlPemusmQAFo8V198SZA5u/t558TJ0B75wYZoBMnQDSkowjKcSdAY64DH0SCJ0CprSd//SknQMi8gYwruiZA91y2k3vdJkD+432EjfgmQILucHSCGSdAmydWLpjXJkAk1gFxQv0mQPQAJICa6yZAaLe7O6IbJ0DVfSEg/RAnQK8X5d88bSdAN8QB9zbLJkACp2QtBDgnQP+1Y78+eidAUov9Lst9J0D5kykBSbEoQFcg4O++uihAcu+A5t5tKEA7oHxUP30oQFZc2ID7BihAYCVucXMdKEAvKS7hiJIoQGS+zYH9FilAa50o+if+KEDwCJp7810pQAv13AnvQylA/VFH5ILzKECQJ4xkFh4pQBx89iBgMylA3g7uROUPKUCpn3GPlVspQNJhIjZugSlAgQvTLxUUKkCUFyi/GzsqQIH96RkgVSpASuzPqCPnKUCUnuDvbPwpQFnbVnmFAypAUU4ZFn5XKkD/boeqHMMqQBBIwr5CkCpAXo+e7JyFKkC1eGtGLR4rQCkOTtgK4ypAOJPWmqU0K0BPFQA/ll4qQN0lCWDxUypASfqMP8r+KUBNuURkP4MqQC4gT6oEQSpAqadKArumKkAzWjXNhH4qQPpIyFxQYypAB5ozfkO1KkBpKDLM4p8qQOhnYfygaypAqPfWL50MKkAtzmKvrPMpQLVNs+/JmylALYh6/4vsKUDZ0SDHDOMpQKhqAUUAWypAZMaEekBpKkCVqcH+8+UqQNczSd5CoipA/U2IR2TPKkBnLcKJwqsqQF8Friy3IytArP2TeUiGK0CgGRk1uFwrQM7ZUyP6fStAg0a3DkusK0BhrKjJl1UrQDxDCcQ5jCtAVtwOEzdTK0Axj0DoSZkrQPv8YYgVACtA4ZGWDzO7KkCoVAuoEqEqQOxl8vAPQipAJYepZs4gKkCN/EsHc6MqQPjvU1GkyipAfXQMa/9HKkBF8yunf1EqQA3k2/PM+ilAO6ZA4EGPKkA7M1nm72AqQPp3y9ffUypAiZotfsGFKkDfv6x6iYErQAXKqWJE7ipAeK3qxo9LKkAvBpo6kHEqQBhMjyxt+ClADAZcRY4SKkDYyPWpMG8qQAylBaxz3CpAmuPzstTxKkC/68rTgYoqQENoA2PyrCpA+FCawSTnKkDXsK7hcX0qQGY2ZROgWCpA8x0Ink4qKkDVU35uA7oqQJqXvAOl8CpAowveC2dBK0B7NtZ/c7YqQNWwxZp4YStA1s/oIgzqK0CKMihEphYrQOjN8LiweCpA4kZKguTYKkBEJSm/pjwrQJ03W3RubytAtEYlI+DKKkAyLaPbnBMrQG4CNND5titAIJUfDLw/K0B4wryTHkIrQIr17eD+9ipAD22ZJMZYK0BQlL/qjZsrQLcs0SeyRStA9IiJQSl6K0AMHRyub60rQORtfDkYxCtA8H3vQa3mK0BB3PeJtMErQNM38TKa8itAbcswGg2rK0Dj4oe0WJgsQNctpFBZtyxA1j+7o4CfLEBXeR3n2KcsQPJLFuu+NS1A8eUGkq+BLEBNFIDx1mksQKxY5GftuixAkodW5P0yLEB+M0IdkHItQFSenD8DsStAhJyiiZ9wK0DxGdFkbW8rQMpxVrrloytAdmfEReSEK0DJaH1Bj/grQM/9UKzRkCtAmm65Uyu4K0A0+0b0DcorQHLUw4QNqytAbQMXumNWK0BOWnyX91krQBuQ1GmOBClAqN7sCwh3KUCAqO6pf9YmQNesTWG8iShAmkk0rjMZKkCmzIO0XOQoQARErl8ijidAGuJ28VMJKUDb/RaypXQpQICdYmqaPClAk/ptNW+5KEBuHebSxWQoQACHH/cpSidA8Xc/x4WvJ0DkbVfzQLonQF6SCUnirSlA2aLp9doQKkDypBVIYp4pQF81Ke0/cCpAX3sanAR1KkAcbUqtUAcqQHBNMRKL4ylA4woKu3EWKUCHuUaaf6spQEmDL20wnSlATk34w8fBKEDnK9P6UawoQBPLijLWVilAPf7dVXiUKEC8qYiwfhIoQFpaWopFdChARi51leeSJ0Bptv41G/EnQCKxlUWr0yhAviDx2lMJKUDYfPFVexApQD+Cv8rIWipANwAebYDKKUCf/Ur7tgspQIntM6ruiihAAAAAAICrKUBRRVvot0kpQC0J6/NFSStAtBnYrVWiKkAMCvQT2xAqQHE0qkjgfilAxy+xmQ4lKUBd1z/ejrkpQGKgVHrzuylAAAAAQILRKUAwE/PR2PEpQPDj6BQxDCpAAAAA4FExKkCPftURekQqQFmoxHo0BipAr3QqL5YOKkB74O1frOQpQPKI79l+1ylAXc8XMBfbKUCGN1wlHjAqQJqsSYF8pSpAL7WIvJF7KkDbjQ7Ib/UpQJWazO7XAChAAAAAoC0hKECFdOM8mRcoQGuXxDxgIihACV3HVED9J0Cwtu+5yB4oQI/faomARyhACocSG9IMKEBuiG6UTn4nQIijKmQD5SZAIlnkwTd/JkBzJM1eFsEmQNi944E25iZAoNaQ/EYpJ0BgptbfgbcmQFKRNPNwdCZAAAAAIC/JJUCIadHURgAmQFcAfO6B7yVAOgM7aQoRJkBX3I88CtkmQFuVUitELydAUUXfcjPsJkDJBUdDDHImQKRMqNoLciZAhu0CtYBWJkDeyMSwJzwmQPMfUQoE5SZAB/GqU+QgJ0DtF2IHw2InQLnWwGTgjSdAGLeNnNrRJkBMm7CAm+gmQDsKM6ZGKSdAkG15Kd9kJkCA9s8vctUmQCLdWd4onSZADeG8RqZvJkAc6cT0340nQMul68rsdSdAwXW+l4G3JkA8A3Vmu0UmQOQ/emJa5CZAWWubBjaFJkA5mvBGj+UmQNX4Tw1ANidA5wXRI0IBJ0CkaAYPSAcnQOSRAUwV5idAaBKqQZmWJ0CPXEDfdKcnQM17jF8s/idAHgJ7/q8eKEAsS3aQ1X0oQMJX63T2oShACNFKgZt2KECeQYB0bHsoQPCqMvrvKyhAKGyeYP0XKUDNPv5KWEMpQPNcRstqIClAtxC/4TjqKEAJFZEKGMYoQLpL49KNiidA/VTZPRXmJ0BT60NAQhYoQM0MGVRE4SdAYlECOE0iKEDuAyy4DRUoQCKqVCOTkCdAw0/PnslcJ0DAQe5sW1QnQGZfzX5NDSdAcmj9YJ/3JkAsAlxo9ncmQD/7hbyWtiZAdb/g0zv7JkBPGw935uonQOV15yv0wSdAPrEofgefJ0CnxJkLbtYnQLZqYllt1idAcrropE/tJ0CEGpkV6bUnQHNXfKkfgidAtKEBnrjvJ0Ch+mcZiMonQJqO2bhQsidAq/kHD0goJ0Do7ywJ6BQnQBXoLN2FnCdAI5UdyyWJJ0BLsa0THhYnQAof15zsWSdAztN5R+tCJ0DJs0juRMMnQEjEumLgaidA1jqJ2hmaJ0DpVKIgAbwnQPKwjHw41CdAfTwnf++HJ0BhMtHCtAooQEEd2kfSLShAZCR1zxQeKEBjoXTFVw4oQF/9yUhJCChA+ZrlM0OsJ0CH10PUgFcnQJ/xJIk7OSdAPW8gPcvxJkC7LWiwXdgmQJpGb22+AidA4QfbTi0zJ0CE5zkGJsAmQIDaG284CydAxh63gpXwJkDFU/lTUekmQHnvdKz3MSdA5czuUgIKJ0A1xynpKxwnQGcOT+Ki9iZAw2UlhIXTJkAPDfsTj5QmQIElQKXupyZAPT6CEFzBJkCNuDE26BQnQBMp0y7GrCZA4FfggpuDJkDrW4ImFqMmQEL2JhZr3iZADhhhxWveJkBDjs5c5v0mQGhW1WX0AydAS22J+jkiJ0DQB/ow6BQnQETfghbrQidAC5xbOB4WJ0BRQmwnOzknQFp7VDgQECdA+nLGA3AjJ0D/aYbquG8nQDqipDdDrCdAhR57mdjAJ0D3sR7Z+3YnQHUysUrxnidAQHn3OWVLJ0AI4FMVB08nQDeFCDciWydA/gLofxiDJ0CRLz1pmNMnQKUv8iQ4pihAWnphNRerKECxqhX9sGUoQNRH2JIVjyhAIhVLoLBJKEBzSeOLN4ooQHYHOe5CtyhA3lODk3mAKEAQoBH+9JMoQKKbaJRDmyhA/rCfw02QKEA3E4OG/2woQGh3qbCZQyhA8W4qsQgqKEBzB2y9mScoQDrrVdFtUyhAKW14LmSWKEDUH48d05goQN0f9lR5gChAUWn0jTU2KEAvQUlj8z8oQEbomS939CdAZTCMgboGKEBPLMdm/MQnQE0LoSCY0ydATU2aWWvHJ0DdDVJsEssnQC2u6LzRRChAIq2QOwlGKEAFDRHjxRcoQFkXsS0e+CdANnkWVriWJ0DifsvUzpwnQOU7h3vCbydASBAQNzFWJ0BFpsfkRkAnQKtZ0+arTSdApjsNa6xpJ0CJcvy8Mo4nQJxXlNUyjidAyn7twkmwJ0Cx7Zd0EssnQPqi7MZ1oCdA07v8MB8UKEDJGPz3geknQO1KP7/QKChAMG4l+8ZrKED06vQAe7goQNgJs368kihA7hhDk+cSKEDwZkn2NBooQE6jaV8IDihA9yivxYzCJ0BeamVaSbAnQDhjRDmu2SdA2EO+Meb2J0CfMZTESLAnQHGsFwXm2idAGySs00nMJ0CTtd7AggUoQLlqEGbRRChA3doRk4WRKEBNxwcZ6p4oQAHBfIi/AilAnGq2YrZhKUCeA5AHwVYpQKspentGXylARrQsDV1lKUCsksVUEJYpQOY9IjhqrilAxNnBdPDuKUA7V9T1Xw0qQBcLj3rwCipA3en4yR0XKkCBMe2HXrkpQK4zjxHw7ilALtv89eUVKkAHsPvV+/8pQMe8EVJKBypAwuUcXNoEKkAUd25xdb8pQAKI3dU+EipAAtMYhe7sKUACCTxM0/EpQAKBbhfnMypA3bBn4YgWKkCLlNksrMopQO7onPJC6SlA2h2pqnBhKUBsy6iqilwpQP/Qt6LcTSlAQVTCoH2NKUDb1AE/RIwpQH9TJHiYiClAnwxc5961KUDLXfmd5cspQF7ehT8AxylAfupX+ifuKUDSjpCwwK8pQLNCPUSU2ilATlgeqGKSKUCm+H7uTa0pQC8yWE3RiSlArX2ifJV9KUCMkOsgkc8pQLiWfcQ6MCpA+gIdM+QoKkCPUhvIK/kpQHIUc5GNxClAMJksh8bFKUDogD5UIdgpQHdMGdNOUClAUGGbwlVmKUCgcyx7LT8pQDMShO7UlClAhDOIhLODKUAZnMj/aKgpQDjx0HMRoSlANqSLrWWdKUDSqyA6h64pQPVMFhXhwClAGVB2eA85KUBfWg2bs4MpQPmtv1nmbilAdJy6lT12KUDrEMM2HGUpQGKPtuupYilAZWV7BJJyKUB1PtsfoqkpQGlXWO2sbSlArkp6yXNsKUDth0hm1ZQpQFB/pB75sClA5mHat8CvKUAjnWhWfY0pQFlA/hF86ilAx6uBU3XUKUCCxFKvw7opQMlFE1gIgClAxLV4mQPSKUB/OPq65MspQGR5Z97J0ClAjFU8xz/eKUBIXx+2M8wpQIjv3aGCyClAIWCLqn8IKkC3Rr7yyyQqQK8F87Ul3CpArR22JBDxKkA1neSmYd0qQAAAAACzmSpAuK7L/AGWKkA6kpx1Yr0qQGevH06wySpA03cKG2K9KkBhNqyD7LoqQJq2gpFirSpApPj6DNfPKkDoTl5fiNMqQMp+MnwmzCpAw0eYn//FKkArmUNxAKYqQA61nrNirSpA/t46v4uTKkB26ikVn54qQAAAAKBScipA2z7Fo8hkKkAzgl6LVUIqQEM0BNtDBypAAAAAQFgCKkAjWcOvz/QpQP4ral4bMSpAOi1T8PMqKkAU2CUBVyIqQMgx0O6kLipAS3+vUQY2KkBdbA4nlsMpQDHvvfT26ilAKofVCfnKKUD8oL+9qN4pQA4STIsK5ilAOVdBrFvCKUCUKSHzVwIqQPe0jhPhHypA0OtzE65+KUBgs3H+I4EpQHh2BfbFKSlA+Ef7A8NhKUCf9qvR2XEpQH/7+eyfVilAL80I2Z5WKUBlP3jjP8cpQHByVZA94SlAux/79qtRKUDhwLVOsYYoQOJ5++cPrShASl3k0khLKEC5Dwkr5lgoQCrkob+zbChAL9tUlyqJKEAU62FrW48oQDPot8+TxChAhKYv6XUCKUB/y5Im2tooQEJzXG9GZShArp4xyR6OKEDAL9QyKaMoQBWt0PYZwihAJNVYq2WkKEDDl/4QubUoQBnvkGDdwChAGtkLrP7lKEDBvnIRTK4oQEJpxBXb2ihA5CJt0/z/KEDVPqbtxbAoQE3EBo9niihACe2SCrGGKECcJHa0JyYoQFkLxB4AuCdA1L9eSJ7FJ0C+has1oKsnQNdKXKUvQSdAAIikjURrJ0D4SgSCqNonQJ9SsBJ/hidAdvuNuC7YJ0ABKcWfhM8nQHpXNZQdEShAKgl3VqlXKEBHoxMLiDIoQFr0/4psVihAPRDxdOg+KEB1B91ysAkoQLoe173B0CdAzYPuOhyoKEC4d1JQanAoQEICoJn4nChANyzPzwj7KEA2JGn1Wo8oQJl6zV1bjyhAEsqnxZPEKEDARh7n13coQO0u0yku7ChAVlydiQ3HKEBhpHReD60oQORr/6NS9yhApiMKlhfcKEDNL2tO1g4pQPn/nyG9GClAMWjUfiIaKUBlEiY5LJYoQON8clmKeShAo6vso59lKEA7QhoGz7IoQPIwDRzzzChAh/JCa5qnKEDL9+APoGUoQIfo/5prlyhA34vZSN6jKEAHXmIxEuwoQFDW7i0iGilAl+6ulnDPKEAApuo0cM8oQJMoIvXyjyhAYZV033WNKEAt1frC49soQES9dtYCOClAQ/1LwiZSKUAXRb7yvjspQIJgr+/nUClAxSWyKv08KUB0Jv2bj2gpQM8ZkVFbXSlASvmbpfKDKUDvtWKGmZspQMBPgBIX2ylAoVzyAmHSKUCjTgZwqQYqQBeCkBCqBipAU41I6c0gKkC2bNgGMTwqQJPkEtg1NypAZViUpOgHKkDqzVAfhSkqQG50/jPoBypAoBsMHJ8QKkAG0sYGQfApQACcby3yOipAdlJ503U4KkAaq/pflJQqQGYyWe38bSpACkQTdCaDKkDbC8bHb3oqQJhqk7PTWCpAUl8o1DsyKkCR+6/CvvIpQHpafU0N5SlAh8cvCPP9KUD3s4cHCOopQOwHw4PTGypAu1/Nf3A9KkDLohPa01gqQMV86EmALipACUbYFEtgKkCD8ISiEVoqQHt2zrdlRypAs6IyTaRIKkD3abID44YqQJuvPaRFoipAdNLbvue+KkCcSsM+7fYqQAEAAGCzsypA2lVf2d3IKkCwyOgvB6EqQBZkPIkmgypAvr6tht1OKkD0+g1GlVcqQHvpyJFgiSpADbDMZ/1tKkBnL4tS2FMqQGZd33LeTipA8heltlBbKkCI4AU4UVsqQGDFxHkMIipA9L8DUNMbKkAPZp8x2BYqQMVVddiJJCpAn21OiLN2KkAxYp1SzpoqQMFe/DPYkCpAUggtTfivKkBJwBLio4UqQJfp9Is/0ypAqUbrkLjBKkDvGAnDZo4qQLxBzP9ljipAU7bKEB10KkABAABgY4QqQL6U+JbccipA8zcty7a8KkD4TQ+msa0qQPqsDqaNSSpAdSdrxEY0KkBtuAkvsv8pQJF7BVqEMCpAKyE5Okc5KkBz+siLxDEqQHuQM8OXZypAQuT92dZjKkASl/38YoQqQDXFH/rzsypAGqn853nFKkBm3ojAZo4qQNwLTBfTWSpARYYNXcg7KkB36LxWVmEqQBGChk2wqCpANnLRpTi/KkDFRAed+cIqQN8O9uuK8ipAeJv85cfpKkDnAxdWy/MqQCo7jQu6dCtAJ46sa5cVK0ANQM1b+HArQB2IE73yDyxAtLQSurUYLEDesePEfzUsQCCdKBJImitA07cHqUSQK0Arolof+nUrQAAAACDwVytAxan0xfRmK0AAAADAtmorQOWv3xx4bitAhxU0hH+CK0CDYxW2unQrQPdcmZkeJytAB0/ftFEFK0A4yAL0O8kqQGsKzC5B2CpA7FVJrbCoKkBKxykSt7wqQMysKAnQTypA7Uuwsf8jKkDWRDIDsPopQLlmFYmBeClAZYrtLfJNKUA0k+uoRIEpQJlwql8JjylA0NNNkgaFKUD8DMSRT58pQNWmsgjJjSlArcpH18F5KUAyJR5J5rwpQGqVI338xilAEu8BO4rrKUAHw/5/+8YpQJvE5hPffSlAYaS5S1teKUAkZ5+1FnopQJjR0Lo4bClACQu4idR4KUDrpy9vFZcpQKjH8JD0hylAHFA8Z2+FKUDTMJEQdOEpQG9D6PDwwSlAlMyPLyqhKUAT9AQ7rN0pQJAmxlXFrSlAYC1mQGG6KUCQntyX8cEpQJGvI0oa8ylAbcF7mFLvKUAAHNW/AgYqQCgAOW0uGipAA26yCe/eKUBre9UT1/EpQGDacaCucypAkIpC1G1VKkAAAAAgQF4qQOSRT0QBIypAPck3oLA5KkDRCh4gdncqQCk1v5BIgCpApIWxDI5kKkDJldgmFUoqQPhQ2X7YhypADUOh2Ie7KkAzzqbep8oqQDfpHQUdHytAuLqptBwfK0Blueg/GzwrQDtUDhvwJytAkF9cx9g6K0CTEBhKPxErQPG8X7TvJytAaPHLP9xQK0CH+8ogW2ErQLYv+GebpCtAsw63iU2QK0CcIKCP9YkrQCnpcR5YgitA3ByCaRVgK0BfHlWvsIgrQFDt6OihQStAU3ba/lphK0DrdBko9BMrQLdcQchDBytA8P8CSC4jK0Crx0WxrDMrQJEW1i1dQCtAppUUnqjeKkBRrJ94KFgqQDtmuS8/sipAFUuU92W8KkCB+RnwhpIqQMFYh1fAoSpA+wwS1yOaKkCy5aFXtDkqQI5bOVhbMypACGckf3EXKkBvf6gZmgAqQAxozO+8TCpAo7l8wA4fKkCVmYmn0FEqQGYvz3fQUSpA/5fGV85yKkBwhK9dO10qQG3W1YfW7ilA1QlpqBD+KUDz+vLf5xQqQNCRHKD7GSpA6D0f4DtdKkAfBQNYRHAqQH0tmtiveypAX0Wqj1YMK0AaiYSXu+MqQILb3BctrSpAnXBBUD+yKkCKnAZo5cwqQKfvF4gbhypAvgQREMGhKkCWUJvXJXkqQDj2uOngdypAGzYXAJi4KkDLlPP5AsQqQGJKy8+bDStApyG7r9HHKkBfovfe0ccqQKpHtKf0fCpAnU2v33VsKkCYqOrnNCkqQHusAzh6KipAlT+Fb7DkKUB5AXuAyKcpQLdLDvcTRilAaNJ6oVETKUAEEDJq9y0pQNDb5bK1dChACibjDen4KEB/4uQ1YGMoQL7FoHYiAylAwmBLcATnKEDE+rwVZa4pQKvfTTou0ilAlxd5uYg3KUDVUs7yyLQpQI3uyyekFCpAACRcTmoKKkDUbLlpVHgqQJXxIAlXpipAzsEjz+5aKkBql4hD1YMqQKyfPfbhYypAvTJUYsZ1KkAIdt60VY8qQOiyE1LrFSpAb6nDEIKzKUDnrV8lXPwpQPRIjXsxACpAWmtXxC/pKUDqI7G7/GIpQBjzyz8h2ylARctM4ufQKUDaIfCyFRIqQGkAdS/SVSpAk9XVFfkMKkCKWCl3My4qQNniL/D5IypAJUkPum1JKUA29aq/Ww0pQIdAReV9bilAAVU5M/ojKkDUSsf+TQUqQPDh67yv3SlAbro4uMviKUA286EjoeYpQAxHH0K81ClAGfqnd25PKkCe1GZOi1QqQMF3qO7/fypA5BgAj90NK0BeaUMpRVkrQH7RtUjHeytAf8sc8396K0C5TdekK5krQCskmnGMWitARQO+a7htK0AcqMJMIdArQH0/32XBDixAqNn/08VTLEAErGfvqWUsQJUdRhiMSSxAqNavtciBLECyuHh+P9ssQEfKxguj4SxAvm+SWlI/LEAfQ/nPMN4rQANZHwKbVyxAfCtApmR7LEDWmE3POX8sQOPZE8N0oCxAtzdZhl33LEAIP98sjTgtQC9GMl/8Hi1AbvoChf01LUChb4tDVVwtQJF1qt/58CxAUx+FAMiBLECJmsjRNjosQCcvK/HVeCxAGEsoig5sLECY8U9UwzwsQFRQgIFESCxAJBaTQGJNLEAMzXlrvbgsQKxHC6x1oCxA2AtNOvFVLUDW0qg0m0YtQLoVeIpHZS1AY0hRwwoWLUA7+8ZeqT0tQGjqUiEkUC1A90/lUEhVLUAInzaRtDctQCimC7RoEi1AjVY9jNgzLUB57l1KHv8sQDXC/4RDDS1AST7PtrVJLUCM2J1htkktQNuAcQ22Ui1ALGcajSu8LUDQMxP8ddgtQKKuap/izC1AZiosu+gdLkDhQK4TwwYuQCsRqQNUAC5AEVgLeDEWLkBxxsq9eyAuQHhZpvZYPy5AizdZBb/QLUCznTjfv9ktQAJg+Y2Xpy1Ad3ppZwjbLUB66dYYc6stQN2jSVdVCS5AFOSzLuK6LUDRP9qpnxMuQERC3hNVCS5AOwhyUVYbLkB3SAwwy4QuQNs9ML+BjC5Al7RZZMuELkDh1ba5F7wuQLknMv/TCy9AWMk/gvGSLkCZdhSwyGAuQPlgo/sa6S5A+JQy6IoKL0Amp3Wx/VgvQHpKBYe0Ti9AJCIwqUISL0BNBag1rvQuQCDCjqf6GS9ABHk4FYnvLkDaOyIEZfwuQKUiXzzWJi9AbzUKT/oZL0CFaXfCs04vQFni+8L4By9ADYqJALVOL0DyfbAfx04uQJvBBi5S7i1AXiTdsAFvLUCDUiU8lYMtQPMvB+YmfS1A6fQyp7ZbLUCNaV2aJ48tQBtfhdsI0i1AgOMpNnOiLUBY+LbXlp4tQDfSX8rgqC1A/E0i1eGxLUBLdOhnRkMuQO+eYlX6QS5AO/Rw+P9tLkAJzANpY9AuQO8kP7a9xC5AbOe9yzbLLkC+cYNaiA4vQDW9u54Toy5AtDDforaCLkDaFIXUPpIuQAZXvlTDdS5AgbfngPamLkCNaZhwgcwuQJqePczEBi9AZOuQS9/sLkDS9r5arbsuQN4GheKD4i5Axlbgks/jLkA3WEiik+suQDwk3fyanC5AOVHN7eFxLkAtp+XZeHQuQLwQuMrfWy5AEqpC9Yh9LkCjgZ+6GD4uQL2oMln9Vy5ARhnI/DdQLkCnK2fdsucuQG45aVmpIC9AO8LFBr5VL0Cp/t/vFDQvQDBloibx6S1A7lgzXC74LUDLSpTpZkktQDwmfKP4Hy1A7K7Hn9LtLUC6uYnmNr8tQB0BBzMM0C1AFy+VmljRLUB0lXd2avAtQDIV83BlxC1AXbDunEKcLUDEAkHBSd4tQMZ+lOSSxi1A5+0Jrfk3LkBRUr4jyBQuQE1iaPEVFi5A9bqRsNUDLkDj0Xzrb08uQATxA1VcOy9AwfdL4nGAL0BecV+668IvQJS/+UE3CTBAuQx+kEgjMEAn4IKpT3kwQOmRraUWgzBAmEqdxEemMEAp2rnW7qYwQJM1MTZIpjBA+ojLujyoMEBvSCok3sYwQFW+cupwvDBAGShy0lCzMEBoK2womdIwQP689m3E2TBAuHGVgiVpMUDbzwAuOToxQJM0RU0CNTFAegrX6hIVMUDhChDE/FIxQCX9PUUwLTFAP/DTm5hVMUC1UuE8m0YxQE2E3K6pbzFAuCvOiJhVMUATk4TJdxIxQITIGhwDbzFAAAAAYC52MUAiArLgg0oxQLMHoxf+jDFAq95EcgG4MUB57V+EQ7sxQEu5SUsw6jFADWYRZ6YBMkC6R7F6MSQyQKC12oDbTzJAyjG9cuRcMkDeFlou+1gyQAQyZwsEZjJApWt5zWCQMkBogNnfEo8yQPZb3olsjjJAQGiaHtGLMkBy0I3QOTEyQOXC9fWnOzJA+IHLxJA/MkCLqz9fXWUyQHx7F3gKgjJAeHE8PFbMMkDsC+dSvvQyQNJlg61LCDNA7glbk2IEM0BJljWo2ZgyQDw7uv/9BjNAJtY/2bgSM0Dkqx2we/EyQBeM7fbp2TJAsNuY/jEDM0BugM5tBOcyQKZZCw8wyjJAO//xEV3mMkBrB6MQ8+oyQC+Hnn7NkzJAB9VUdqmIMkBugqEYdG4yQGoLd0N0gTJAExXiaTRDMkCBSX0ZsWAyQEHPzfLTRTJANN0wK/B4MkAoCEm1l3kyQHlsjJnElTJAJMDsqBOXMkBqYGP4dJQyQJr6Th1AoDJA3wSMXaznMkBJnuNhie8yQJ+W2DO3HjNACynzaKPpMkCeZGk8gN4yQNv5YXjH9DJAHmmRjZLtMkAW3fNb4yczQGEcIUFvCDNA+KYU9gTnMkBxQ92mOgEzQEmzZonQBTNAhd8cMcAvM0AFJkfQ8/0yQNWAksF5LDNAxbG7wVT7MkA5yWDRFwkzQIQDh3ys5zJA7+MEd77jMkBo1dbKie8yQPkRLdLP8jJAilpQjEMSM0DlClHbcC4zQLcDrX3bPDNA0zCDY9s8M0CwfQtecBszQFLblnE2mzNAMgEEj+RNM0C+a/kMYWszQLb3qc683DNAXgpT1gvLM0CpaL5ju7YzQL+Z7gbnmTNAAC9Avu1eM0ASJ07OpTUzQNBtfDHJLTNA3J5VyQdGM0DvQ8Uaej8zQIt927HAQjNArwY2VeQ6M0AohVLnds0yQPWccmwLmTJAKTTsWna6MkCTfCrF18oyQPYDLEj6rzJARq/k4lB2MkDZfqdEfX8yQCmlQKbUazJAvWsX359kMkByAVcXeNQxQKJcj4ZbjjFAgLWhtIZxMUALcWWZ8rgxQD8Vv2EMoDFA0f1jQ4C/MUAuCDVjRPMxQMIpoQcy5DFAlnWPy1zHMUDztss0MwoyQKJfY9ZOKjJAgzPLAAF1MkALUTX+EUsyQJlTHC0GhDJApZOO5TtyMkBgr6bZY4EyQFcNWdA/jTJApBIPH3OYMkB6C4fmYBEyQAAAACDzxDFAnmR8SpvFMUC7z2EPrb8xQPL0B4GPyTFA4ZsZB6XeMUAis2uKKpYxQCrQcP2+uTFASxSLLQeiMUCjH9XjUaUxQPK53VRmgjFA0FQrY356MUBeQwXb0V4xQOCrrx+zvTFAhIb+d8jSMUCClxNUhbAxQI6pXYUctzFALrdif9+SMUCPYa9b6asxQDBPMAPpqzFAIFnS1vSnMUD4Oom0taAxQIHo4gXxjDFAyMDUBVy+MUAnuaW3E9YxQOtPraBtuDFAbF5EIpvFMUD8cIQOAtwxQKhEb2Ak7TFAyZI7JkX+MUC99KyllccxQMIo9bQl0DFAUwpxMhsMMkAhrjWDxu8xQB0rw3dyCzJAxe+rJE3fMUCaau5vovsxQMiWPv7TIzJAcMVMJxRjMkA8+ruvRFMyQCQemgqQVjJAo+mpO2BmMkDl/IouMlkyQIih/K+tTDJASP3AUOTlMUArsAel1M4xQE+z0EDdrzFAlig2YzMEMkDlSZlBshIyQCA5a1IlJTJAEQCeEKoxMkC8832B0UAyQGF3UW32bDJA1CWnYpg3MkCvCf/3WWgyQEm8K5nV6DJAWFWYMkj7MkD1JSDhJuoyQHV/t5vK/DJAaastLt3uMkDjcdS6lOUyQCZCz67qIzNA/8YbRpciM0Bqa4Nxj+kyQKLzi3nQuTJAd0MJk2/CMkAgZhBrTNwyQOCG2PBG4DJAw5CzkRsAM0DN06SnfjQzQPyjXw3iaDNA4BUrr8Q/M0DisJxM6mIzQL0GwrCFbTNADfRRNv+RM0AtsLO1ZcQzQE38DdEvrTNA5KhUIP+RM0DE+G5ieLYzQH+OcD8RAjRA54mv1QhHNEB2NJiPBgo0QPjHcDHuGzRAxcQJ86RRNECIVoDPt0M0QCgSWsCcVzRACPS5Td1mNEBH+IVMTxM0QM98zSiyRzRATizb48I7NEBCtJgJCIY0QJVpmLZmQDRArrTzYu1aNEDTO47YFXw0QJLMjV4IRzRA6I5DvoQqNED+Kiw8fy40QB5lUIp5cTRAA1/BO2l9NEADX8E7aX00QDA8/yXZeDRAhvb97itoNEDax7y32HI0QFmsfrvbiDRARX7aAyhSNEA6cd3i24g0QHCDTgkpWjRAPjYB+YBnNEBkvdw9fEs0QLipqg0kOjRAdkc6P3QdNEAsrA0AcAU0QPU9nQpq4zNAzhOzS3gzNEAU2mYlHRQ0QHzmF0rB7jNAOuxVil+jM0DRPVt1W48zQLKwcE+5vjNA9I5UZWO7M0Bv/qzuXZ0zQLYbmsRq5zNA8yAMAr/gM0AzKYzwX6czQPfLACW2qjNArsfBCq58M0BI4wiFroAzQON+mgRbizNAPNy58lqLM0D1EgZUubwzQNZIyjQAajNAyaVWsZ8oM0AUDLSLRAkzQDlruR2oWjNAFHN3UwFyM0CexE/VYKszQLIDFLOxkjNAHiK/NrCKM0A9EnqhU10zQNlbPIf+YzNA/sj/CV2VM0DgwPF1uLgzQCUduFEcDjRAMdkmOhwONEBgNEtXzC40QMykXtZ4OTRAD+LS2cokNEAjAGq6cQ80QGdpzecjOjRAyQAuVHQfNEDWkYWUzC40QLanpekmTDRA4EbsYNJQNECw0Thi2oA0QM3bS0zTVjRAAFSsUdJONEDk79wHJkg0QNOEYd5/YTRA/PlUlidONECqaJpygm80QIR6eR8rZDRA91Mx0tl8NEClnXdB2Xg0QNNZ7Zu1OjRAsJ+w/jJSNEDFMxrMED40QGjLEaJwEjRAJeXGUmE7NEBSPPb6NyM0QGNa93N+hTNAB7jaeqxuM0BL6gARkV4zQMg43E1rSDNAIQ3KQT4uM0BRJa0r3lkzQGYb62ohTzNArjUO/nVOM0CXfmlMBw4zQA+1kXuvDDNAxquDNOH3MkAMPNN8VwszQFN4LnK4QzNArwlhVV4PM0AQwsMxxBgzQGPa8+JeDzNAgz4XR3AZM0DuVvsOzU8zQPvNKCWfZjNAv2BSWbNyM0AgZBj/WG8zQEujmV0GozNAQbaxLACfM0AmpUcFerQzQI8ATZZpDjRABG2n/1QCNEDV4MbM6cMzQPjGZ3azBzRAT0obe9DmM0C5FM62+JozQCOxl3wggDNANg6TzWl5M0AnGaqb5V0zQLukH1euPTNAcknNoRNHM0DjPtDqLCQzQK2f6pST/DJAuywMClLWMkC90JYHGBgzQEsN43G4QzNA8nBUtY+PM0AplZv1cH0zQKJOtDV7gzNAbgVST/ycM0BFYoMpoMozQGT8K21u3zNA3Km1KxDaM0Cl8cTnmMYzQOHs4bTv+DNAzT1sKN7uM0CaIKpWsAU0QKibpPmX9zNAhNc0zr9ANEDt5femF0I0QOCknLjqJzRA6W8AGPUtNEA//iF9vD40QMCLVyI4IzRAHB6GKO1aNEA+N+Ht1n80QJLJSRzcUDRAEzbeRrFpNECCSwihIqw0QMQs5fpGjzRASHh/1U5iNEClvrgwgbE0QPYyscGjxTRAhBXYulbKNECZG3fUAss0QON5avvApDRAIaKPjHqtNEDoV2u+WP00QC+ImR3aFjVAmeITQzweNUBOHAKw2Ec1QHFCONoNNTVAAAAA4IdKNUAMQOr3x0M1QBDQIbasBTVA/3gxvv8ENUCuCeEQxyg1QJJz3r6sBTVARKX42tHbNEAQF6KGftw0QCnjlZnXwjRAb69SRXCiNEDYL51hAoA0QCvD/EP1YDRAB7mu+Uh7NECiV3Sj9GA0QDv688RVfzRA5BQiqi+ONEAw2bcOnZU0QEwtHiARujRAdbpew726NEASO2fIHb40QNtZoPAqwjRAryCgFz7INEBVsFEZnss0QOIMZKMJnTRA1+eDz1CzNEBzkoHZ46s0QIDXJDt9pjRA/8KTg492NEDwQ6fiG200QO0NhnLcjjRA+1cW/WFoNEBjm6Q21Ds0QCAX/pVsGzRAfJw6pfIPNEDjaW2hPbwzQDe/nXTQtDNAnNUFik+MM0C6c0FqFZUzQH/muhae2jNArMTSmvynM0AQbvTiIX4zQFvhCz1ckDNAwpDcUL8pM0DVzPC6vg4zQBtm4vX/PTNA1Rq3CmdDM0BmbbXm2mczQG05ryHIfDNATKuJ3mKSM0Boqjrvb7EzQMj0tR8L4jNA2ZJV1x3oM0BiNk7+tsczQFWPofNmQzNAAlApKtpMM0ANgaMcOlAzQE2neS0tTDNAue9AUXt/M0Ck9pLmL7gzQPV2cdLvozNABuTNw5ykM0AOywZ+g7czQGTqS1mk3DNALjFgw5a9M0Cm45qc/OQzQKJeuK8XxzNAb3WwQq7UM0DXTHVXg90zQD+l1xHyFzRAeTJGO0jRM0CkwqeCJbgzQOnTP/Ka0DNAUH6r5c7JM0AJwdQ5H6UzQLxPKIosJDRAzIbYVeo5NECLAXS4b2c0QFpQfW8GdTRAv33mZXdFNED0JPG9Tz00QMxnrMhtQzRApoGLh0hfNECHJNRzDlM0QDqAEIMtfTRAyxWTNf+WNEBN/sWIN380QPKm7am0dTRAASSO5h7BNEDGWH2eIrA0QNNqyrSkYDRAF2z8fINrNEBX2vC1oHE0QNVTqu+mhDRAWN5ajAZ1NEBk53Khcos0QFujHLHrkjRARLsZy02nNEDdNpYCFb80QPuDNiKYyDRAoNxuifbtNEDQzFftizA1QGR2CHqPHzVAManl7xIpNUC5OlKrPSA1QPdCkoX27TRAe5uldvTJNEBBflcAF8o0QEtPZdFX1DRAERp1g+T3NEAn1zD5SRU1QMm36spTJDVAcmpiBiAcNUArVGGBwl40QAnMdW36jzRAsEUtun+XNECBGE1QOmQ0QD7x9bSDRzRAOAXwZkI9NEAlhkC2iS00QFry2cvKNzRAbhz4IjshNEDIIAaADjU0QLdASRi4TzRAbmscOERzNEDttexqNH40QBGn+bmidDRA1LQR92WTNEBXV3RQba80QJa+yHXDlDRA9jSPmv2CNEAeaWy7N3E0QCw/k/IITzRACmBiVA41NEAzHmXOxQ40QM0ESToUGzRAj7Vd4vwJNEAmmpDyaUM0QO+SIDyOVjRATeuKDoktNEAh3UHcqk00QJ/l1nA1OzRARUSFes0qNEBiUo5ulPkzQNEr5l6ZIjRAoQRz7bUZNECdZ3D2Bhk0QI5ohVX0MDRA65Sed2w2NEAokEMPxVE0QLq+s6FBgDRAawbywtOJNEBN+K6pF4c0QJa3pC/emDRAcN/BROZxNED1uof9JIk0QGCPFDVEczRAmzghsAB2NEBKmMzTkn80QO2X1sYKhTRACQl9Vq92NECkvrAkGno0QJ18Lx+bWDRADubuSqYkNEAxe090nBU0QNPW3aFpQzRA51ti0zTCM0Cyqk5aZ5QzQCqMmlaBmDNA+5cOFbiTM0CQVyhseqwzQLuGtiud+zNA+EzAcVjoM0Aw/btLLPgzQB6wYAGN+TNAxkCmCcz2M0Ci5bzlpdwzQMbnrvzxEDRAYWaf+4nuM0Cr8JSl9Bs0QH7Uv2pVHTRAE5WFUiktNEDvyHGttF40QGfxrSkHaTRAfY3DXSViNECzqYc7IEw0QLwwI5RfSTRAWr9LQ6RcNEAc0eD07kU0QBPe83hnajRAwelcGtt4NEBNA0T4oJE0QFJ4jtuauzRAKhtJV2GUNECK3Y49NaQ0QDHlAv3thTRAzYnED8hrNEBWL4r/tF40QO+WV7wSVTRAG/DfB56GNEAZDJ/HLYM0QA+dSW7PjDRAPoa/czWkNEBHn95r2G00QCHsAshDWzRAy0ZIftetNEB0KDyWDH80QBWCM9n4cTRAKU9E2phwNEBAnwWS8JA0QOCT+dJLfDRA9Qi+ghGVNEBk12l1GbY0QFsSJNa4tDRAZ2Cls9/ONEDbdyndCv80QLgnm66n8jRAg4WOWYn5NECLOql9xus0QGTcLjSS2jRAhYcOPjuvM0A/K+7NmvAzQF6yPwXa7TNAdTdX4Wo1NEBYOXkZMI40QMEC5UdOhzRA+jNI/Mp2NED0z5mPjYQ0QM2p4MMymTRAGLXAO7GTNEAiffKhi3k0QNEHhwIXqzRAKJFmlO6FNECaiOKOkI80QIv9GK+G7jRA+bN3RMsBNUAxMMNZduw0QNxyjfrCIDVAuTVsTNBXNUBUUbe6ljA1QLpGuM4pwzVAC7ahp6MyNkBFJxT4ozI2QPmymS7zcTZAcSWQXpqRNkCLikdwGMw2QKuYR5yQ8DZA9mHFF9nONkDmkyKOk/s2QCJMQrhJ0jZAG8GMVF4qN0D2+NQZh083QMImnASQMDdApK25mpU7N0DCuf6jpL02QADY9+Sy7DZAVBqUGAe/NkBXd+G8bZw2QPVCzcvNrzZACXSoI0p9NkB770n+bpM2QN4h37WjxjZAHIJrMFqaNkDXxMxT04I2QCNPVsQB7DZASk4FPglRN0CqzoHt/A83QHoeSHTKbjdAWAwXeSqCN0COlVYRgEs3QF3rMSDgXjdA774iQwdjN0DychgJx4k3QPWJSo+6UTdA1O0KeKsrN0ANjQ67qD03QPnxVXEEdTdAGIQrzSsdOEDi6LWP+mk4QBVtkM+MJzhAeXhVCzKLOEBaO81NOLE3QMkChyE+hDdAlAevMRWSN0AKkbOmyXc3QBfCleD2RTdAAG281SiUN0DoDxX9gOY3QMuvPkrk3jdA3U4ozdDcN0Dvd+tq08o3QLJoi0QWiTdA7iWK8gR1N0AMIWZoUOs2QPJgRQBIMzdAGGDuxqdGN0C4ieEv2os3QDrME4g7ljdABet51CqCN0AErzVg8mk3QPfWvuGjajdAzJXaf8tlN0A2q0S0+DM3QJdSHfaZFzdA1G2F9EY8N0C0LSpAP9c2QFaYaSfEXDZA9E3jsaLPNkASBN+Modg2QAs5JzQ+4DZAjqgsE0WqNkDFLyhsRaE2QOqFt8vNrzZAaO1PoR6dNkCV3dMV+302QNOJtHfUeTZANQCMSU1iNkCG8nYeFFM2QKNKkCTvPDZANmJpbc0/NkB1Mls9fvk1QL1pNGXaSDZAQ7jrj6hrNkABlTbNjZA2QKFrAezwSjZAFeTXBE5jNkDFT1dDf0A2QOVcXkR6njZAJgl3WyyfNkCnOhkrNpg2QBMBWLnYATZAjutraeRBNkD9zwb1cjc2QObmfMF7ZzZA+In8RdNfNkAAAABg7PM1QPGyI1gg4TVAjIocdPwMNkCKqW5bQdw1QAAAAMCU+zVA3icF7Pj8NUDFxOYV89w1QGSPdUFL1TVA9y7OSnvpNUB40xI3TJ41QKzLyZZQdzVACT9U1wZRNUAaAHSZV2A1QHcEaY8VIzVAuC2dW1RQNUD7qKKi8ZU1QMOPUtIXsTVABAWvx4ObNUB67CeFm2Y1QDm4zFMLKjVA8GYxDc1DNUDGwfQTGXo1QBwJJhYwfDVAo/vylIpSNUB71dclO0U1QE0vYKotgjVA9bFPCpBuNUCQg39FjFk1QObefkrPqjVAyBw9mxByNUAUoxoW4ok1QEBfVHAeuDVAktLmn8FkNUB6qyXQqu00QPOHJSYHvjRAkxgr5QzaNEAt+dWP7bs0QP5xWQCwhjRAKjQZEOSKNEB3iC2qYHk0QP+lKjVFcDRAcg/YH8NlNECUvd16+HA0QNAHIKAoYDRA0s6m+tdLNECz1hffABg0QFh9FHDd5DNARhKs75DlM0CrKqE6/gk0QAEWWdqq5zNAG3sAddbBM0CNcCulPcMzQAFXW/D13zNAlNzFL6vnM0AiWTyQ3uszQK5we996+DNAlVvPvyzyM0DkJKglD9szQN45RxVa0zNAb9I/QAaxM0Bgb5tw0aUzQLbQIU+EpjNAiroIpc6XM0D6nf+fOrUzQHpsUftkiDNAYQkj4Q/iM0Dr4wyw5Q40QLotwnDRKDRAbko4tXv/M0DSlGpbmx00QD0bHkWIPjRAn2rCLzYjNEDE/n4a1T00QCl3NGW4LTRAo9bib2YSNEDSf36q4gA0QGZSxPV36jNA2rK/z8j+M0BWMMxe9NgzQAAAACBliDNARZeI8OaSM0AmJiDLVsUzQHX1Y8XttTNAWj85mqbSM0AKFpKanqgzQKmBvN8/0TNAt+mb2MbxM0AKX559fDU0QK9B6UZYCDRA5XLs3QCzM0DUULFWXqEzQLCeHFwetTNA88iyHXvyM0CLchukbeszQPXwD2RHyjNAI8LUdzRJM0Dz8hU3gfkyQESg+b7IwTJAytaW8Mq1MkDb4jOerY8xQPAronNJCDJAmiTIET2yMUDOr476Hf8xQGWCXtVsNTJAf6jYOtrbMUA/ZKbn6JMxQNnr4XihyzFAUc+FwMzUMUAO1yUw9KYxQDeuLSjF+DFAqSCcrbxrMkAahNF19KYxQINbIVK2rjFAaRj32dzPMUAaj99X38MxQF68u8pVzDFA2vuCVGPTMUBpaxtlYpAxQJ6AvhFikDFAlG7v/7RrMUAAAABgRI4xQOF8yJHgdDFAl1oknfOmMUDCVgxXzYUxQEd6Ta5hkDFAZ6hR9lfAMUAlZlWgntcxQCr++ekWkTFAY5Ak6Vv3MUAbUo6gog4yQBAsO43LIzJAOkHWYU0/MkAcPQYNYXEyQFgzGdRVXjJA5rliEs9aMkBYv5XqGloyQEqhAFq7cjBAo7mAFYJiMEDpkorcizIwQHakPWh8NzBAFkeYd0AzMECeOy6rID0wQCAiJs3CTjBATz1F0gkXMEBQHS/jEPcvQNAnv9CxxS9AZBkB+SfOL0DVmoOBkc8vQEM8yyCAkS9AEbDK6/64L0BMrctBvCMwQJjhOJHMHjBAHhE/H7c7MECUjPGeFx4wQP3h1oWxEDBABLWZzRceMEAd9U7x3sIvQDXkZv7pQy9ATL9fHosSL0CmtwzFVlkwQAdtqvS1ijBAFpWVo+LWMEA5VHsfA80wQEFiuvFXnDBAbli78VyEMEC4fmbs44cwQCrhH6TspjBAy4ijLbl+MECVLhxlh0owQNQAfz56SDBAUST3jypOMEAHETG4xGcwQCeluWDBjDBA9iRx5lCwMEB5CkLvtHYwQCxM+5p1bTBADC5VDcVnMEDarkQSjXkwQD+9b9ba2DBAzMkaOimzMEDdZXrHzsIwQF9JMlU8XzBAQymVhGlXMEBQYhTlZpwwQJOOIW518jBAjFwT5s/iMEBFSgo5ltQwQHwfIFd18jBAg3VeQWYhMUDNnlEb7gkxQFz3j6LlzjBAi/QnObc7MUC40VxruFsxQN9hTfaRfjFAm89QMaMUMkDWkM6EwbYxQAzYIhza4jFAgWriZp+0MUCAkz8slTkxQNjZb5STGTFAmAnCp1xLMUA4IyDAWysxQNrjU5cJ8TBAZaKVI+BYMUBZfac7DnExQKJ4f5FOmjFA6FvybfDOMUBuAKp/9ckxQEcEx8Aq/TFAYNM8t6tPMkC2AE4IiLIyQJXJ0JM9szJAxsIhdwBFMkAOKM9uPJMyQFCNedCheTJAeo/5aswxMkAnVOJJlWMyQJ+/7qleEDJAgeNzl+4zMkBneXSCdIEyQBkGV+MuXTJAHCLgzlW1MUAFnBCnAMAxQHdsIWTE9jFAqFEA9rBKMkCxZXF8lWMyQCbjmnAyvTJAoGJLDAHqMkCYCHh54IIyQAofhoVMhDJAAAAAoAFlMkDIpQz6g1IyQAkv1NYGYDJABNiF5yqCMkDu2wCIHNEyQG7OxmkS+TJAKKzLiuDnMkCXsiMNpPcyQPSzd203yzJAm9spinjAMkDYjMEI0gMzQLM6TO44+zJAPdrZqdziMkCOMuaQnsIyQLYGvk8eCDNADfVe2tUIM0DKQsWZR98yQDK4An4aAzNAwtoT2t0SM0B0Qa4jwx8zQPQf3yTbPTNA42JOA40JM0BQ/pJxxE8zQPWrqLnqUTNAR1uGuEU6M0BwfI9nlkMzQH3z8G5UHjNAycBgSNYIM0AECT8cT+kyQFkJZZV7UDNAKyM6nYNaM0B9KgzGd0szQPMkrP9ZUzNATwK3sF6IM0BVWG56OIYzQC1fNmFxcTNAkDKILt9CM0DYRB+8hi8zQNuLnvTrgTNAwI3VQuByM0B65IF7yFQzQH6LUD1sPDNAh3odJj6lMkCpEB5wcLYyQLxp8524tTJAy767JlK+MkAliTBYBboyQK+P5gQIGjNA+Fz9NAlKM0CI+E5vigUzQEVhts8jwzJA0/HnVRa+MkAhNYOWKkkyQN6crzDGnzJA9GSBdV7EMUAQkzoXAjMzQG0nb4jIizNAlkCIPEWfM0BQKCat4KIzQLbkphkuzjNA4tyiR/DtM0Ch6RUFNfozQK8fJMf/5TNAAAAAgDngM0BoQnJlOeAzQKaK9a9G5TNAbJkbdtcpNEB53IRphws0QIGDfkV8+TNAB0ZrYkseNECNwCyjTwQ0QEwfzzZQBDRAogSancXrM0B72S08vxI0QMcFAKtPBDRAELBUXOsHNEDL5U1Grxo0QL2tGAm0ADRAvtBpep0vNEAkcUb36lo0QK3PlvrU4zNADqQb2IAyNEAw8PzBKTs0QLicPhjIMTRABAEZxZ91NEBtRSowCp40QO57diGdgjRAVfL4emynNEBW1dFTWMk0QB45v//WzzRAK701oQPFNEA5w0f9Er00QMYCuWGzpjRAkdOgjqzNNECc0vaCY9s0QJLwVkfZwjRANsC/P9nCNEAe4crJK9Q0QMUDO5GxszRAfk2CpoLLNEA8LlBnWrw0QHRRq8TmxzRArmnmEEvENEB+zcWIwp40QPemlzjtoDRAMvOI3PGGNEAZsNAyLsc0QDJMuSColDRAktEptjmGNED5LOWq27U0QFCHA9zU3DRAGcK1p6OuNECOhawjJeI0QHqMzcq5JTVAui0+D9zyNEDzD3g1lvM0QEd9Oz7umjRA44ZX5VRvNEBZxLxso7M0QOVtMbioCDVAA11ZuRW9NEDJnBJuu7A0QMBWtI3gbTRAmlqSy/GKNEC1HYXoLkU0QFmf2UiQMTRAnJ208HRENEDTS85H0Ug0QFO6Xa7PUDRABTu4dP+3NEB/2H4QSac0QO3AeJq5uDRAsMetkhBoNEArPw9SpT40QEclHpMhGDRAVPOwfG5kNECrLCdicVQ0QBXMVaxFSjRA0y1AnU+HNEBYw4CHkJ40QAHVwDz1ejRA3nx87iJ9NEATzqiUTY80QKF+aAComzRAj85E1ZWGNEC1DL+b+Go0QHnGfV0LgDRAjP/td89QNEBFbpT5uEs0QDo0IIO0YzRA0E9ohQ5wNECt1rlfnGY0QH3cnqwTWDRA/DnauPKoM0Ag+M5J44MzQNLvHRnBSTNAgX/qfn46M0AATP7IhhIzQCCqrIboazNAYtiJHZ98M0AHHaE9z3YzQBNDPLsKpjNAxUDEAJqUM0AAAACAGGYzQJHp9zRxejNAzf3CAciWM0Dkx1wv26szQJTeGAKowTNAwzmukTDQM0BzQ5YPFeMzQLLgXf5E3TNAmHXDWpakM0AAAACA1cMzQBlCqCKmyTNAqpwwyxvDM0Ch6t4ApskzQAoGs9DaqzNAK2ULU445NEDPiqBaYi80QL03r1EEMzRA1KWzQiEYNEA9QkfU4100QJ/6J4zemzNAQOvi7feQM0BfKADeoHQzQJGeDm0ayzNAKJyXxbXuM0DPiqBaYi80QLMHxchNIjRAZEhG9gBDNEBmlhy1kyE0QCQETpTj8DNAgn3wvd4INEAPieS9HyA0QHqfwRxz3zNAqHioXgH+M0A4SSqxQiY0QE0c/97jFjRAi1B+aEAINECZrF1VWn00QMIImogvjjRA0Dv78GpcNED4F7jHcFE0QHMcayibQDRAtKYs2L6BNECy6YLXnnw0QC6+OJzhXTRA0u7WpmnZM0Ahexe65c8zQMEFSR+9/jNA3n2qlk/JM0AAAACAucIzQH0SG7qByzNA9QPa2Q6hM0A+uhqFOZAzQOLZZ7fCjjNAnrpQ6+eIM0DM+Y5RmJ8zQH/Uto9kfzNAfRTZHxqLM0CqkUc1Sm8zQLEICbsSeDNAFs2i4vhnM0A9KrckRXozQJDPS4i5XTNAW4ELiEwoM0Brqibhgx8zQA22dsOfTTNAUEjThRQxM0Bzz1szUh0zQGRxuNlMwzJAj3CSNL/tMkAaciR9CwAzQHWmuzxD9zJAj2UzSWQaM0CeniAodfkyQHwNmTRdBzNAqwTVToQfM0BvDzz42GIzQPrJgtgMgzNA50IdgiyIM0ADWRTF+GczQBPY1+sdYjNA2Mhn38mhM0CYCVQogK0zQJ3WLtyvWzRALBnYG82nNEB44hYTgZU0QP1Pj8MzZTRAa7XnO/+pNEAOxTtQzUI0QNYAnwUfSjRASB2JSd4hNEB1ij5RwDo0QEovIAQhAzRAZ9GB/M/7M0CFSmO/8RE0QIdqXj9eFjRAArjziswoNEBflnzFDyg0QKskWvlAZTRALZVSmalNNEBnbg+a6DA0QFsrysKPUzRAIEuu8R4zNEB+ZLXtVDU0QDlOQqMCKzRAR75ybYs3NEB+UGjODyg0QPSRggVpBTRAjXG3Fmf3M0CPkOOFmkI0QD5PJ4SrWzRAIiaLwx2KNEDygBD7JcI0QBlFmS0VqTRAqPDNeLWhNEAhErHNIaY0QLsKph6fwzRA/sKZAD0FNUDBkkzJ+QU1QPsQpKCGLjVAzc3+AEEhNUBa/WaexRE1QEBtsIvJLTVAH6XxGRNXNUCDNz34BVo1QJ0VEo1ChjVAdLa1R1OfNUBLalVZN5c1QPi+snJVrTVAiWxkWT3BNUCGZeUzH6s1QBAHakUQoDVAt7xnuouvNUBJbRPg6rY1QNIvkBf+3TVAIzNVWR4CNkDydH4uBAg2QGA5MmuXAzZAYxJmYSQhNkBWK7uKoCI2QKnzA2TwBDZAsuRhTc75NUCiTn3+vxY2QDelYpWYxjVAfraWarRKNkCBUL1y3Jo2QMUigXZUzTZAnG0fkCLINkCnvtPxpsY2QMZCITnOtzZAhxM1xIy4NkCavrvnFp02QGkWXZEQtzZA1YDej5bMNkAxQss7riI3QCHy7ZvWEzdAlNXA/TgHN0C1m0KpPu02QItn3epw8jZAGLOd54jpNkAc65mC/gQ3QAEynEXk9jZAbtuTsuYNN0AxNeyHqvQ2QAbqpACAcDVAK4ktEKLaNUCeDRSfvv81QFmbEXX26jVA01QHTOAKNkDN/6f59eo1QCts3gW4ujVAlc5/j4rjNUBjbiy+NBs2QAYvQoE0GzZAaVeLRpYONkCWTUuIxvw1QCTjMPk/5zVA28vqr2jYNUCiSEZFrO41QBlbQ0CQyTVAShTmkzJGNUAAZ14t+lo1QAfIhVLwpTVAZYxnbbAcNkAD3aF+LB42QNx6N5k0GzZAnu4GYJYONkBLLDqNKgc2QHf7eyXG/DVA12FIauAKNkAHsBmJJIA2QEtakpboxTZA85AjlYbSNkDPPDqxriI3QBexw5IqJDdAtnQhzRREN0D8dDK1wko3QIndZr36lDdAkuevwjKAN0CFXMie1Fs3QJfQA8BciDdAUj8sXcapN0CiJAZVyaY3QNPjU+BkjTdArvZR1e+CN0Aak7nz3JQ3QIeHCKq5tTdAS2FVxPsAN0BwMWyDfjo3QObWYfAlFTdA6qJ6pu9HN0BUesc3A3E3QJjHq49uhDdA0SH5U9jmNkA7sBo3H+A2QJWjhdDaqDZAJKd6rb7+NkCH7upYUO42QHqSU0yn2DZAbXAtvMS9NkC2BNYD6U03QJj9WNzFbjdAKnSvvXRDN0A5H1H0Yxc3QP1g2tyXIjdA5mZoML85N0C77MNqMEc3QAG4OiyvSDdA7O6+eI5mN0CsCvUDUWQ3QK/QvNuRYzdA5Ani9nGBN0DRkU1+qE43QBpq3mk2BjdAMJ9K4iwPN0DchO0Hjis3QNpWAHsvDDdAMSVb2/sAN0D/ywOGCLo2QHG586t9/zZAHqNSn1ogN0DGATRN4hg3QIotqWbB+zZAH6CqwIcxN0Dq/jPzBx84QMwAeHzvrDhABoRlS5UAOUDtzaHk6Sg5QH5R7Z9OQjlAFYhBeqXxOEASLK4rMSI5QDCjkCwxIjlABTha4MxDOUBpiWEYEXs5QNYftNvk3zlAUdCMuCihOUDFk3Q6p905QJz5JgbRtjlAFIa2xuGnOUB+ISYUOFc5QPLWKsfmZjlAPT52I0bBOUD09V4/ivg5QNLZKZlqFjpA8VkdL1btOUA3qaY4Q/85QCTp4EVAPTpAoKnQYahTOkCf6Bb3Z486QLWQXugCdjpAbb65XyBbOkCqc6C4H8A7QIuaB7HU8zxA55atgLUiPEDe19YyzYM8QIEDwc5kMjxAqRpQE9NCPECMBBWaVEE8QFJN28TpLTxAMqWqYvdcPEDyRIrc8J08QI/dxk8XejxAJ7FjFA6DPECkR5TAiEw8QEZc6Td5ljxAjNzpvzd3PEA45HaDKD48QFY9mkO2bzxAoflhYnNnPEAG+Tj1L1k8QJINLmTLvTxAryRnQgWoPEDY0Aa6Po88QAzkuSkyTT1AwvB+BKkqPUDRqkTK3wg9QLMHciSR0zxAIV3pmhLYPECvElH96jI9QJqzCV/qLz1AAtZQy+cmPUAlzV6KZR89QBc/FN2c/TxAAAAAwGoxPUCQ5a297Dg9QK74vvK4Zj1A/l6Dj13sPUAWhOWcL0E9QEdG2Z1tPT1A4HmmvDtxPUBRSUojj7g9QAinTRZLqj1AoWu74dS3PkDu0NVgUrA+QPEy+57PpT5AsWj5Nx/hPkAjbY2/tDA/QLbaDfsqCz9AasjxVoJhP0C9IP002bQ/QALmXwMXAUBAIy/yCFKbP0AgDhYCbhM/QOxD8Cid1j5AsvjG1DhTPkDuR0Low6I8QIrzX/B9eT1A4VMjdHVGPkA3koCqvns9QKVqs0S2XT1ASbT2cqYhPUBkVNy+hZQ9QD+slThoEz5ATbPAU/I7PkCN562P9nE8QErS9njQ5DtAO1eVsoXQOkBmwF7hYj07QLmCdD/jPjtATreaT7J1O0C5EkvGUPs6QIahXcTrcTpAIHHNljCYOUBoEd5Wgtk5QMWyyyZvfzpAJJePAX/NOUCAh9uwBOU5QEQWAryDCDpAWebYU0IrOkC703dP2BM6QC7M94noHDpA317aejjeOUBOIMHOPeE5QD8NRzQeOzpAaKGYkNDrOUA9bCLiFO45QK823hTk0jlA9QmQtEvFOUBD5Cys8285QDs9Agle8zlAFYmMTPlyOUCe69//1e45QBcm2JFj9jlAW6zWFDdyOUBoTapVH0E5QMMHsI0t2DlAtUXQ7gWeOUDhBgyUiJ85QE44Z3XHnjlAmTd0z1VfOUC0Fa0dr205QFLL5xgHVzlAY/YphXBuOUAYanc7Hc85QAjP83Z+BTpAgA6n+9PJOUDbDHeCkuw5QMLgjA6OojlAxU8UYn2ZOUCuY8/1gHc5QDJn3J2ztzlAl6QQOJLsOUB2SrmH2/E5QJPN2+123TlAf3pb7a20OUCNaCBsr205QExfs/5VXzlAxSoQpN7POUAzHnsJFTs5QA86UjCFWzhAvWpKjeKIOEAPoEw9r4w4QOvWrUjj5zhAdROPO8/0OEDkjAT4XjI5QOS/qUVM1zlAQMzEeX0COUATqscE5Po4QK/O0UhAFjlAptlOUXKgOEAfZbU0P6Q4QNKXF1bYmDhAyfAfOjRVOEDy9TcLcno4QMMWrD2w6zhAGK6uEkmnOEDgkAozP8o4QIEzjftzXjlADI4vE3Q4OUDYpOQviCs5QAhRnw2IKzlA2ul6YWkPOUDldOUikgg5QD4Nzzjj5zhAguuTSfgAOUBhxMMYP8o4QAv1M7YLqDhAjVTGGNiFOECi3GAlNdo4QObKYr+lwjhA8ZUO4TUTOUDk9JBFFx05QJQ2kGqJsDlAKufar6eAOUAGonxv28g5QP6ZLbqngDlAAELxOqdtOUDS2GMAF/c4QL3bJ1uxNzlAodl9c3P/OED1hxuCQDw5QADVgz/vgjlAwilpa9HYOUC6kWRtss85QKri9QPHrzlAlhOZhGEDOkBX6SIaqfI5QM+/4/lXOTpAu8Gy2J4VOkAFzE60qPI5QIk74/eoBTpAHiEltGEpOkDyHfMrx+g5QE3fllVDRjpAq+vwsuZQOkByHax1QiA6QGHdu71DbDpA5yO9FaBhOkCkozhgsxs6QKxp0lG0ejpAQW5a4dKDOkBwM6uuWKs6QFRo/HX8tTpAGjLLn7e2OkCVsOX1nXw6QKgJzgtJ7zpA7uabsHnEOkCbJ5I+G/M6QKj2EW/Z5D1A2L0Bj/cxPUBAys5tUyo9QHgC8RKbpzxAWrBpM/O5PEBG2QmVcIQ8QIuHAEsZZTxAtkzW1xdyPEBiBK79okw8QBxogWARwDxACLpymHCEPEC06TuSL7k8QCXZ+oFfmzxAkNf5bm+RPEBk8seXLdM8QJMRwoRfmzxA1ZRfERKzPEC/Qs/lvgs9QPZvg7aJvjxA6NDYRK52PECCOIzJSTo8QLH1OSwbSzxA2RA6KvA0PEA/7V+Syok8QNtk/Fz5eDxAWw3x/YukPEAaZ+JS2n88QJimlb3lqTxAC82CldxlPEARaHg2TCA8QMee6YotJzxADVhQUPEnPEDfTtRxbAw8QAA3W1FwhDxAGy4DFSAXPEBIL86OEgc8QIS5yJNw2DtA9K7kkiSPPECAJrJkh9g8QD61hS4jnDxAm23U5t5LPECnSSH8/jc8QEEOCf9IRzxAJW0AavprPEBkqFhjPck8QNwXKKOpqjxA/uPKJBkRPUB7t7rW4tA8QB+RhClUHT1ALNZxr1BEPUBA6QPPeIE9QEuLsYz7tj1AMm4ZQn7sPUAfDtSeyZo+QA+r8r1h2T1Af3xcwLUfPkCuQPK5aDc+QBFM0fCbnj5ACQ99ojn0PkCjLatLcSc/QJWjTTOqWj9AJc2creGAP0AI4+ow/fQ+QGj5PY3FwT5ACSJzz8qNPkAg+v4aPII9QNrc2NL2Pj1ADGsGSrBcPEAJtC5ESy08QO+aBu61GzxAjtePUfeSPEA6WctGdF08QBNCHwWegDxA/xFX56L4PEDP/P1hrxU9QCf/5o0URT1A+In+nalWPUDOUdaNPIE8QCK4behqXzxAJEMuoyoXPEDG/KTaM0w8QLgrq4oLUDxANhgJMlf/O0CYjItgG6M7QH+grcpPYztAW2NOYwdDO0Adm645sWg7QIMQMZv+DTtAaZW9oPYUOkBbIIw7mfs5QDHM9Clg8jlAer5ASlPyOkDILu79pKQ7QGcyTEPC0jtAIJplyZeDO0CnTp0NRPw7QNvnHlNE/DtAfJqLg8cbPEB2/IThdYo8QNqlpVhrvDxA+N3sR8MvPEDqfxQtFIU8QCYxLZHhXTxALtwEIvmpPEAh47lkVM08QCtAfUFO6zxAt6NEaLobPUC2DWKEGSs9QASHnDhNrz1AOVznIM57PUBxf5g/FKY9QDAM0xJy+zxAF7bKPuQNPUACeCy3+QY9QBCiysZoaTxAxbb1co/MPEBa65jVOS48QKTcbzIQmTxANHKwMOamPEAVZk2ITY48QJLzPdrX7DxA39IA0s63PEDBhLFvvBE9QLkUoEOhNj1ABgYmY9ZTPUCNM1d8wbc9QPX1THwVvT5AVwDl3kaRPkDUNw7uBew9QD3Dn41R+D1AlCClXGEPPkA2+K+s1Lo9QEwnwA6odT1AQGShYeN0PUDtg01Ya909QES7xK2ndT1ABF3LsGx2PUBsur9uL4E9QGNdcL8kVj1AFjGYvthJPUADGX6EgW89QE/SH38rlT1Ag/j2LDyiPUBvoV5vpbQ9QJo4C3KZqj1AW3187iSsPUBHP++NvS4+QAfURIqx8T1ADVAw1EeoPUDZr38dyME9QDobj6WBhT1AgPtq/cewPUBXJpf+x589QO3TEFNHdT1A3nUXWUd1PUDQY8CxpJI9QH6dq2lqgj1Am2P5KPZQPUBzrYkXAls9QABxTRpIqD1AaCzbsry3PUDIQFY0yNI9QEYdcpFfvD1Atun/jVQYPkDfy2aWyXw+QE/WtFT4kz5AQqaNCNcOP0AnrDPQVhc/QFla+ejWHz9ActdPmFYGP0CUZqT3BPM+QKs4cGMoIj9AIFADfuIpP0ClbpRvSVI+QLTHL//JwD5AUby6rkm4PkA+52WtkAU/QJLp1yEEnj5AC3dSKsriPkBYlalNeGk+QM2Zpqqbuj5AXYi3BNVCPkDSox5c2h8+QCE7zEvrRT5AmAwNPYV7PkDznthqcGM+QHS3qfoZaD5AUQBK/mk0P0BXMNOUNWs+QLDCPvXbdj5AMHckON7NPkARAopK3NQ+QLOQSjTz5T5AU4lxr+oBP0BEFYlkcB8/QBXeFFV6/D5Ahrn5Q/8ZP0DjhEDSb8E+QJf99rQw1z5A6jtWPFIjP0D8vGJuMi4/QPPqejVftT9ALJ5qudvuP0BTan5x+ydAQPH4rEMGY0BAFmXqRupfQEBnkXkD3olAQMr7JUNSgUBAL1pIB4eOQEDJUXeK8KhAQNo3to3wqEBAKmYrlbepQED7ct+06r1AQAMf+uaV6kBAcIwJIOTSQEDGKQ1PutFAQFUeQYcKs0BAIOKJxhLGQEA4ygyZNONAQHtXLePy0EBA0lyYEoveQEDUNcsNZf5AQLxtsb9J+0BApJh2FfcgQUD0AkRS5ilBQOXgWONxMkFAdHaYf5NPQUA+Y2q4GmZBQJcXmYa9f0FAr74vDotrQUB5A6AxrVlBQFUA1zTsckFA6C2IIPdPQUAMpC+a5ilBQDfLZICP/0BAnm5GB2MFQUCGCHdjDgNBQNbRZCQGH0FAAAAA4LkAQUAZDhgk5vpAQNa8AvMjvUBAdGz7SpymQEBgdHk9BmNAQFjEEBi4HEBA5LJMe/U8QECcNqnFEHhAQBrKBeADekBAwSPhz7VFQEDbYeR2VAxAQN2mwxJPFUBAKvwCi38oQUBOZCgXAGVBQH1VHRKKb0FAhDUqxGlcQUAFr5wqGWFBQFbk8C6eG0FAsym0c/oEQUCElLnBogJBQAAAAEA0JEFApgHPjr0eQUAsZbkpr2lBQDG0eJXpiEFAQFk9ImNVQUAP13932KNBQAqA2tEh8UFAad12ehaaQUDexpUTZXVBQJuwgwyOr0FA3VmsV/KvQUDZSthWUclBQPJFwNY53UFANVPOcAbFQUDFFDwHZ5VBQH8+mzx300FAMntIkZfmQUC5uhiopORBQJ575uPBx0FAsaHfvcUHQkAAAABAXBBCQKk5sEY9HUJAi8Tn2j4tQkB3OTPNKhhCQD23CokxH0JA/o1R6pfmQUANI7FBQ6tBQHuBojmPv0FA5ByWruoBQkAeV65PkM9BQDxyShgKBUJA+hrSBSUhQkD+OuB49UhCQJY9Jz86RkJA0QMRHe4xQkCiBL4rJjFCQAMOL5gzP0JAp36Ln6VdQkAddAEvwjBCQP/lnodSQkJArBNnJa8rQkBOPrEA5ypCQO+6EnIMJUJAy4scW84uQkA0xhethxFCQOWEVw8C3kFAXQfb60f7QUCof2xk5PpBQGR5PcGgDUJAePhHuoXxQUAFjENxaR5CQNP028QUTEJAOFCAbi5YQkB64G6QVhlCQKjmt953PEJAKHuuRUsrQkDy25hJo/9CQGVIqCegZkJA4oLDS5QPQkD5L2AIYFBCQAh3PURHVEJA7VW5PGkeQkA8OAz271FCQOEDugQVTEJAnYmhxHwjQkBhHRyBRTRCQOOztkCDKkJA8TlMw+cqQkB+r/R2oA1CQGT7RVu7KUJA3apVScogQkBQ8sj4BD1CQCiaOF87UEJAcVIs/5pHQkCOBzDTkElCQPRVJBLiOUJA6+WmFChAQkDCphUYj3FCQFcv2RhXhkJAuiHbBUycQkBD/NKMvV5CQB9H7REfm0JAehPDRO9oQkATk366+j5CQBlSPbfMUUJAQ4L2VL1eQkAjf/VQQFlCQP67dBF9TUJADerksGQ0QkA+9pCFQh1CQND0f+ol+0FAbAlhx6j1QUA26551BNBBQJDrfeMiykFAQAB8BeD0QUCv6j+wJ9NBQPQkbbB5r0FAK2UCF4qOQUB0hYnMprBBQL32GjI3xkFA8eOFYviMQUDutnZMrKVBQJvu1nB9zEFA1VXmeEHEQUDUg1fRE1ZBQCP8Scp4w0FAumPPljbaQUDLVy719rRBQPzGwtlpvEFAmVsNXiCZQUCY2a9MdaZBQDHxRYWStEFAb9OBu8zkQUBN0ZKwkchBQNB4PRB0ukFAydpI8+etQUC5Y4/NprBBQJUtzL1fvkFAx806+7sFQkA++jhBGiVCQNp9si59TUJAiIRg/bLzQUAnqEpvt/xBQKuwJXSA/UFAwwDdIPrRQUAd0RusSJFBQNxrLTlgPUFAz8aRxW1+QEA17xxN5npAQDj/vVxkx0FARyQkgz9/QUCzATZphYVBQESvt2+9cEFAO/D8PsduQUDSEdJ/mBZCQGG6VQh2/0FA/we6x/I8QEDXf78I/pNAQCg0QDDMHEBA3Vm+Z5xFQUCZfmv2C51BQHfWhZeOJUNA632aLjhiQkCqKOd6T5BBQClGPItC00FAJAwjQA1hQUA0iVB6dNRAQDzauapq8EBA2rG3/VU1QUCvhRgH05VBQJdr3srBQEFAzg6kf1JpQUDwBg6SCAhCQEFzalbkUEJAYxHhNKcSQ0BxHwhqOwdDQKFH5UnPL0JAQk/4Hu2nQkDKGkoeh41DQH1Nu5ha2ENATJqDGVvYQ0Dgo/zvBTpEQDLoSI/cXURAlTWfmn4CREDQNJahvP9DQNhUHIDU+UNA5R17aSPmQ0DzTHfGvP9DQNIo1pr/u0NALc8Xp0VRQ0Bsj0CwNe9CQOHyFGQysEJAMSl17SMNQ0CoTnGAkAtDQPJTijYYQ0NAwhOq8o8TQ0AGZYmOevdCQIjLjBbzAkNA5Y3eCek7Q0Cs+ugcJRVDQNeudu6LSkNAVUOhS/UTQ0D03ogLXrNDQKMEpuV6W0RA4zbfg2qLQ0CpCdvCIExDQA0FK2pvVENAD9Bq/V42Q0BPO/mnvCdDQLp8jjrZHUNAqgJCpmoyQ0C/I7x8xRJDQDH79Jm0GENAcvxZ7/ckQ0CJGpKgdPlCQBh6S2lb8EJASKLn2xV6QkBWr9Uo/clCQNl5CvJnyEJA8OJrIdyxQkBAA6Rr355CQKJxQUlpS0JAsA5rCcqCQkCOApChKYVCQI8AT8DyUEJArQPX5MpeQkB8ZKeNEbFCQD6Q2vR590JAbZ3ad/inQkDlrIhuNIFCQCdxYSPhekJAG83h+F1PQkDw2da22GtCQOi1dmLxdEJAqfT1UUKOQkCtVVGsyYJCQPe+TE5jTUJA0t2/hyXHQ0CQ4V5em2hDQGWkjvdq5ENAeCFazd1KREBP4fwZx/lDQKM5iLoMcERAXqpT1FhnREBO0dynj5tEQNFAbIbJY0RAbucKFvdTREAfHwyO6ntEQFetpzDtjERAzTFeMdY7REAmUHN8RjhEQJpvMa6XUURAJhFuR/dTREA0iEvWUP9DQFyzZ6ZpCERAbqVetbISREC0v/InaghEQKFTINIOKERASaVfFtjzQ0AQ4++WpAVEQFlq/kzAH0RA+60hTLV8REDMxP232ShEQJ3zSwl1W0RAeL2oe1aIREBeGSOuLNhEQLRp1jJ2IEVAsvDas5zSREBcBu02dVtEQABaz18+QURAfeOUxMOEREAByjlxLEtEQGztXzO9M0RALGmlcUtWRECXVNUtTeBFQN6G/f59VEVApuaTsD7oRUCyYYNvandHQMxc2j+ywkZAMCA8OkBYRkBA1yr3lfBFQIBGy40ovEVAjS+rU/e6RUAEjMLVaUNFQOmlg9lEH0VALmrn/kdyRUBC4UEMbnlFQKjsRbkRA0VAV1GybC8rRUDi+JJTkS1FQDMxOSI1REVAFh4PW92QRUBA60Ia/A5FQDmo5s5cLkVAr5WYTMhHRUDlwEhaW0tFQEupDfTqUEVAJl/sj1vYRUCoWkwEhhVGQMBbP+rR60VAd+4TXtsCRkDtd/HeoOpFQO61RKqO9EVAOrzKD4T6RUA23BgWiDBGQEQMYPp2ckZA3Mrws8e2RkAvxdH0TzNGQNIimToQj0ZA4ryy7SWDRkD1QzOB01tGQMe+3AYaUUZAcFFJFwFfRkD2xbfNQ1ZGQE+PgwRiKUZAd6ZRhAEKRkBrY7Citt5FQA/7yn2VuEVAXaW0dQOYRUAAz/kXBNBFQIb3WFwe+kVARLUGGvH2RUDCUpHcdFdGQHcABVHBZUZAdePLmVT2RkCdk5b1hk1GQKlifuluy0ZALMUZEWUJR0DQ5L52qhtHQK6WHE/RWkdAwzHpo6BZR0BBCD8YNUBHQGbPT6BRMEdAKAXBtzx0R0BCH/iodlRHQGzBadLgikdAXKy6n2p3R0DCy4ODKZtHQJm/wgVRhUdAeU6yMsHUR0A2hL0YNJVHQExQb5njUEdA4JbNBk4yR0BdH8PVmQhHQKLoTArp3EZAZHW/isRFR0Bv5Nkk2gFHQEmaBanD4EZAk5Jyltv/RkA5FjnO9KhGQLwHHmOoxUZA6q90c3u+RkDstxIaztRGQKDTUKIoqEZAaDk37jSaRkC7mRSABlpGQN/1caoGWkZAxlWnHfVtRkAbYTWTva1GQMQ3U3Rxj0ZAdcop/1V0RkBgrWo0UnhGQGBVwG0C1EZAPPzXltCXRkBMcTqRq/xGQD9MsVsr30ZA9IZqTBe8RkBeY9eXrjNHQGIT4Ae3KUdAXRxV8KQER0CagUyVzplGQMVpWgbghUZAzTir/gRcRkDb5jAIlKJGQOA/DBYlrEZARMrjApSiRkAZ8F/sVq1GQEnW1+db4kZAW1TdRrN+RkBAvyXarEtGQHPqZUsv8UVAFIFJYFfDRUDfHOX9N+dFQExGZqFDFEZA/jwPUdZWRkA1TyIep4xGQLlMVNl7g0ZA7x1OXVC1RkAEYqzF8XFGQD7pMzK+ckZAMeOMs7K5RkAcYw9RRoZGQCGjaXILpUVA71MoPjV1RUD42Cgf0XJFQOgYRuuzWUVAqEsHfUUoRUCn0fzI2blEQBfnIjRFeURATDlEz0F9REBBRaaEd3pEQNyYQixXKkRAY0qnkvboQ0ChuSyA579DQE0wRUOQI0RAAzBNlG8OREBK13f60xBEQOCRzP82xERA0O8vgbqiREBNKDq4OftEQBd01kOwrkRAlPftoe6hREAV0bJIWIJEQM5NMvMcWURA68vlk/B7REAg8C4QXJhEQNGphCk+BUVAG7S8WWjWREDwz2J1B/REQDkup1IPHEVAuBTXxExRRUBBTBK+EzJFQGGbmQSwQUVAhZAuiOlgRUBVMwg5lcBFQNWYkkM48EVAVlZ4Rjn2RUBQ92ngZdVFQADBNEID50VAssqUZTTcRUAvq929+8BFQGx+HjoxzEVALI3oYdYHRkBe5B+l0e9FQIPTO/b9zEVAMsGkXAgDRkBmZa1KcQ9GQDVPIBcvwEVAi7UIkpvgRUBrxBtdJpRFQG5rkyIpokVAHG+9kCWQRUDFZN/dmdhFQEgZVItm10VAL1RKZtshRkD8wb+CoQBGQAo0adU3+kVAvOPzWLk7RkAAwL64TQxGQAoXcckuHUZA3NyQX87MRUBW/xWMtmJFQLcK+kdlykVAzBJd8zf6RUD9MtPRRodGQIJGlaTAFkZAbQ6j8H82RkAAAFeCfV9GQAAAAKDyQEZARqtnQI5CRkBaoBT8Q1pGQKKFd3vYgEZAig6r2MdHRkDKhTpICFNGQHQw6nwUMkZA+dakKhQyRkA/qUtr5DRGQK79mKOQREZAKXbr47YORkDsrQDZsd9FQPEgQCc/1UVA34K+L3YDRkBQECfHlx9GQE4o6RX6G0ZAMmbF/jD0RUCCq14fqIFFQFGrv9/2QkVA+LrLUc5LRUAPJTKHtmJFQBdirj+QbUVAKtKCUU1gRUA07c5d4YZFQHw1lZVzq0VA+IojatOlRUCH1X9yiehFQETk9QWyCkZAh8X+AxngRUD/HfFkM/ZFQH79qwOT8EVAAM4pJoK3RUAHNgfOsQpGQITJvYbyFUZAPZG8HNH5RUCo22lMwBZGQAQr19KXSkZAQwAwZIk+RkDZUhfh4TJGQEqeXiAzIUZAUEoqsa9eRkAuy7AdoSdGQI5QtVlNN0ZAdKNPng9ZRkBNtJj+x3JGQC8B4SriXUZAYFlEHVBkRkCU2ZugcSpGQFuwuNDya0ZARkXXikZcRkAyw3EhDYJGQCoLsv81pEZAn1xFWMjzRkBo3xOsuedGQKJhlABTEkdARo2M/WV4R0Aitw9w8HlHQFGtDQlEiUdA5exl5V2VR0AqTGFQaLJHQKkzd2t1uEdAfVogDOpeR0Cnh/t1orVHQN9HLKT830dA8MdtInG2R0Ah8xCFJGJHQDF2n+E5PEdAlGkSu9Y9R0Bfklj83xFHQKC50WczUUdAhPPXbds/R0CRLzy/cVZHQMEGG5WrWUdA9WuflLp4R0C1RgBmQCdHQPaA3sPSO0dAepkM3FUxR0C30UFz6BVHQMn59JL160ZAoaq7PhazRkA5o47GAsJGQMZBfgbptUZAn5gLQxicRkBp5jO/03tGQIyZ5bDimkZAdWN8aM2QRkA2ZzvlwnNGQInFGxKvgkZAz79X1MBaRkDoAJ7IIylGQFHI1ZG8KEZA4T7cDhPxRUD3ymdjjJlFQF9GFMeQa0VAU03kS0N3RUCk5S1Qtt1FQAAAAKA1AUZANweN9o/7RUC3Snj/TPRFQMQNpUrB+kVACrm6k2vSRUCNc6AX7idGQAp5VVrsDkZAywcH8KzJRkAqE5RGKdRGQOoG+edTGEdAJZVyPU0tR0A91n1dEHFHQMX7bypGokdA5wKPG1N4R0AfdcqHUV9HQNhOQAX5TUdAIOE/mXehR0Bki3mHEKFHQOI5ha4jkkdAucfbrIipR0Dcf+4M8vJHQIAb9/olq0dAirhrx+mOR0Au6waIDG9HQJ1hmXipcEdAe4RuQvB5R0BIOs6Ep1dHQFxysQui3EZAnjgU8mGORkDFNslNPWVGQDwJ53rvoEZANVHQmjZ6RkD5Q9n7WLpGQOWFhtYK9kZAgbJZVK4SR0A+q4stmdhGQAN2N0qeSkZAspihL34jRkBAMq9FVK9FQBm3t1PvZ0VASm3RW4GsRUCBO/Kqyf5FQBI1oFqswEVAa7Uwhi6dRUCxFQPabuJFQHfEc59gL0ZAIW8FLE2rRkCsif3WpvhGQKvbroRUD0dAKnJ99waVRkBDLdkWhtlFQHlj+m8c+UVA243YOJwhRkBbIow8jx1GQF5bG+J1FUZA0N2ER/U9RkCw/ZvjYZFGQHoMDaWuqUZALmRsYUCnRkBd+4cwpsdGQGAsavVEyUZAQeSupxOZRkCX9MN4QrhGQKS9slpms0ZAfRfKPPcBR0DXtCdyJ9BGQGnJKpqwukZAh5AWy5CwRkAP5g0Rj9BGQJnu2uFA2EZAF5PriIWMRkCTJqsl1IRGQCfW9QwRV0ZAWbwdOv//RUCp1hAaQSVGQLqpQXfvuUVA6YnWCO2oRUChnnULq4NFQIAaUqPPr0VAGiCpX6oFRkAZTTc1KE5GQDfoipswMEZANhT9nrNJRkApc4TDFihGQOXT0YCf4UVAVR2xlunoRUAHgsEj8ZlFQP3oMV7gpEVAanIj84hoRUAmPDiLpFBFQL5qRuMJQEVAn/3rb6wyRUD3m/CqtthFQLibyMVZy0VA4e9y7H6mRUCrn4NoBy9FQKccLg16U0VAZsy7mCtbRUCTGd6iZ35FQFntHkTmdUVAFU0iFem3RUB7/Owg+MxFQBoh4VROWkZA2s8cxWdiRkD/jnOkqCVGQE8uolsBEUZAzT0EqM2CRkB9Oky9dndGQNlIgN0c3UZAhVU8yvD/RkCj3RvBf/BGQEJvHtMsDkdARKT2BVcYR0BF02fRAPdGQIrbl+s9u0ZADyC/D8CcRkAAAAAA2MdGQCFP1VzgyUZAQkAckudHR0CApzmic11HQAhXsVjwoEdA5d3mgk7ER0B9IT36H/dHQLWNHrjn9UdAqiAz0Jj7R0AUNGtAd6FIQPxVFNkM60hAx5JcKH3tSEBrMcCngH5IQKUWt0NjXkhA6pP7Ky7zSECaiuaHi+RIQHuxlSNL4UhAQDpEcpclSUB3Gqd9a2VJQMTUct/VcklAHUWGiBjVSEBkIsTeGNVIQJbNh2byskhArHmVY8CmSECAdOiGVL5IQJgMqfnFm0hAFCJcdus0SEBB93lZqCRIQPqp63/QfEhAiY9DTBEuSEChDpWU3qlHQNQf64+kIkhATKPwjNDPR0CwdBO6+pBHQB4MfUzcikdA1a8mvf/OR0CWjjNEnb5FQMe/nYjgZ0RAhJ8zH7xDQ0AFprFVjBFDQDCCL9b4HENARQTtZZtRQ0ATb5bjccNDQABQNMd8+ENAcqCfMD0AREBdnxGjnlBEQM4JAc0Ne0RA5DIm9YADRECkUy3RYjBEQMiJ0iG0DURAeYv05tRSQ0AqCuZhH4BDQNumN0/XcUNAFdB1OgkWQ0Dgxy24oBVDQEWH0we9/EJAjZ3KOQMfQ0Aqe/jc6dxCQEr5EqoNIUNA/xSCot/aQkCuqIvr63VDQMB6g6yjZ0NAQ8aTIB7HQ0D7hArOd7pDQIeHCvlf3kNAqV2FlSeWQ0CHNYGIJERDQBkK1qBkb0NAgLis8Gh6Q0CBu1BpB9dDQBc7K8//80NA9wdSQrQNRECT9eEjEO1DQKzhyma88ENAJNgVk2XVQ0DIfV4k+clDQERYMINLh0RABLvjaCyBREC34/FGXp9EQARhuQ0RzURASvxMigDUREDpaiyY5B9FQPYtdgDGGUVA+sDMwVdOQ0By8woA1VJDQDF7aZgQIERAd3Gdb7VzREBdnji+geNEQHMqP2TIOEVA1Hh01WMQRUASreQUmNNEQEP5RQcOAURAQSUOBJIvREA57DHxKWJEQLvp85dBuERA1TlaUxDDREBDHHqgW89EQKG37aknEkVAjwFi2xM8RkDOjnzHjS5GQHGrb7fkVUZAU3UckuU8RkCXiFhsbs1FQJVNDTBGjEVAZKnXwp6BRUC0R5oNu6dFQOX3IIe+yUVAf37sE1/xREDRNHTXOlhFQG6nVMxHQUVA",
          "dtype": "f8"
         },
         "type": "candlestick",
         "x": [
          "2000-01-03T00:00:00.000000000",
          "2000-01-04T00:00:00.000000000",
          "2000-01-05T00:00:00.000000000",
          "2000-01-06T00:00:00.000000000",
          "2000-01-07T00:00:00.000000000",
          "2000-01-10T00:00:00.000000000",
          "2000-01-11T00:00:00.000000000",
          "2000-01-12T00:00:00.000000000",
          "2000-01-13T00:00:00.000000000",
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            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "Daily Stock Price",
         "x": 0.5
        },
        "yaxis": {
         "title": {
          "text": "Price"
         }
        }
       }
      },
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "graph_stock = stock.copy()\n",
    "graph_stock.columns = graph_stock.columns.droplevel(1)\n",
    "fig = go.Figure(data=[go.Candlestick(x=graph_stock.index,\n",
    "                open=graph_stock['Open'],\n",
    "                high=graph_stock['High'],\n",
    "                low=graph_stock['Low'],\n",
    "                close=graph_stock['Close'])])\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Daily Stock Price', title_x=0.5,\n",
    "    yaxis_title='Price')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8ZNO84UBCzjq"
   },
   "source": [
    "## 3. Split the Data: Training vs Testing Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "tFH13iycCzjq"
   },
   "source": [
    "Set what percentage of the dataset you want to use for training the model. The rest is set aside for testing the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "id": "Q8HDTkJiCzjr"
   },
   "outputs": [],
   "source": [
    "training_data_percentage = 0.55"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rCvqWuXeCzjr"
   },
   "source": [
    "Split the dataset into training set vs testing set.\n",
    "Note that `math.ceil` rounds a number upward to its nearest integer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Vnh1t9FcCzjr",
    "outputId": "8c9ada75-7590-4e79-805d-3d08e7cd967b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3137\n",
      "[[14.2106514 ]\n",
      " [13.67891693]\n",
      " [13.39975739]\n",
      " ...\n",
      " [17.34199524]\n",
      " [17.26307678]\n",
      " [17.44382858]]\n"
     ]
    }
   ],
   "source": [
    "close_values = stock['Close'].values\n",
    "training_data_length = math.ceil(len(close_values)* training_data_percentage)\n",
    "print(training_data_length)\n",
    "train_data = close_values[0: training_data_length]\n",
    "print(train_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "BVbq8iK4Czjs"
   },
   "source": [
    "Scaling the input variable into a standard range allows the machine learning algoritms to increase performance. Use the scikit-learn function to normalize your dataset. Normalization scales each input variable separately to the range of from zero to one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "t_Oc-Jz2Czjs"
   },
   "outputs": [],
   "source": [
    "min_max_scaler = MinMaxScaler(feature_range=(0,1))\n",
    "scaled_train_data = min_max_scaler.fit_transform(train_data.reshape(-1,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "UXEg4xUCCzjs"
   },
   "source": [
    "## 4. Set the Look Back Period"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yy6b7MAPCzjs"
   },
   "source": [
    "Our model will forecast tomorrow's closing price of the stock using the close price data from `n` previous trading days. `n` is called the look back period which is the number of previous time steps to use as input variables to predict the next time period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "dmAudrcwCzjt"
   },
   "outputs": [],
   "source": [
    "look_back_period = 30"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Eb5ZW84JCzjt"
   },
   "source": [
    "## 5. Create the Training and the Testing Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "IWG8MgLSCzjt"
   },
   "source": [
    "Clean the training data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "CCqxn5iqCzjt"
   },
   "outputs": [],
   "source": [
    "x_train = []\n",
    "y_train = []\n",
    "\n",
    "for i in range(look_back_period, len(scaled_train_data)):\n",
    "    x_train.append(scaled_train_data[i-look_back_period:i, 0])\n",
    "    y_train.append(scaled_train_data[i, 0])\n",
    "\n",
    "x_train = np.array(x_train)\n",
    "y_train = np.array(y_train)\n",
    "\n",
    "x_train = np.reshape(x_train, (x_train.shape[0], x_train.shape[1], 1))\n",
    "\n",
    "#print(x_train)\n",
    "#print(x_train.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Zm4zChlICzju"
   },
   "source": [
    "Create the testing data set and clean it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "mY_yteE5Y9I6"
   },
   "outputs": [],
   "source": [
    "test_data = close_values[training_data_length-look_back_period:]\n",
    "scaled_test_data = min_max_scaler.fit_transform(test_data.reshape(-1,1))\n",
    "\n",
    "x_test = []\n",
    "y_test = []\n",
    "\n",
    "for i in range(look_back_period, len(scaled_test_data)):\n",
    "    x_test.append(scaled_test_data[ i - look_back_period:i, 0])\n",
    "    y_test.append(scaled_test_data[i, 0])\n",
    "\n",
    "x_test = np.array(x_test)\n",
    "y_test = np.array(y_test)\n",
    "\n",
    "\n",
    "x_test = np.reshape(x_test, (x_test.shape[0], x_test.shape[1], 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "61ZZC2K6Czju"
   },
   "source": [
    "## 6. Neural Network Model Specification"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yMKs9OoWCzju"
   },
   "source": [
    "The `Keras` module supports many different types of Nueral Network models. The following website shows a comprehensive list of all the models: https://keras.io/api/layers/recurrent_layers/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SSsDKCyRCzju"
   },
   "source": [
    "We will be using the Long short-term memory (LSTM) model, which is a generalization of the Gated Recurrent Unit (GRU) model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4cYj_La4Czjv"
   },
   "source": [
    "You need to specifiy the following arguments to construct the nueral network model:\n",
    "- `Dropout()` prevents overfitting in the neural networks by randomly dropping units during training. The number inside the bracket is the dropout rate.\n",
    "-`units` is the number of neurons/nodes in the layer.\n",
    "- `return_sequences` is set to `=False` if the layer is the last one.\n",
    "- `Dense` layer feeds all outputs from the previous layer to all its neurons, each neuron providing one output to the next layer. It's the most basic layer in neural networks. A Dense(25) has 25 neurons. A Dense(1) has one neuron. Adding the dense layer at the end helps to address the input dimension mis-match issue.\n",
    "- `optimizer` helps the model to find the best the model weights.\n",
    "- `loss` defines the loss function. Loss function is used to find error or deviation in the learning process."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 454
    },
    "id": "yMi0D0B_XKoh",
    "outputId": "0f62aac6-74c8-4041-caad-1dd492867dfa"
   },
   "outputs": [],
   "source": [
    "#model = keras.Sequential()\n",
    "#model.add(layers.LSTM(units=120, return_sequences=True, input_shape=(x_train.shape[1], 1)))\n",
    "#model.add(layers.Dropout(0.6))\n",
    "\n",
    "# Add additional layer\n",
    "#model.add(layers.LSTM(100, return_sequences=True))\n",
    "#model.add(layers.Dropout(0.6))\n",
    "\n",
    "#model.add(layers.LSTM(units=100, return_sequences=False))\n",
    "#model.add(layers.Dropout(0.6))\n",
    "\n",
    "\n",
    "#model.add(layers.Dense(25))\n",
    "#model.add(layers.Dense(1))\n",
    "#model.compile(optimizer='adam', loss='mean_squared_error')\n",
    "\n",
    "#model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "B1nKoqLhCzjv"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tylerhoang/Work/anaconda3/lib/python3.13/site-packages/keras/src/layers/rnn/rnn.py:199: UserWarning:\n",
      "\n",
      "Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\">Model: \"sequential\"</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1mModel: \"sequential\"\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃<span style=\"font-weight: bold\"> Layer (type)                    </span>┃<span style=\"font-weight: bold\"> Output Shape           </span>┃<span style=\"font-weight: bold\">       Param # </span>┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ gru (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRU</span>)                       │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)        │        <span style=\"color: #00af00; text-decoration-color: #00af00\">50,304</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)               │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">128</span>)        │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRU</span>)                     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)         │        <span style=\"color: #00af00; text-decoration-color: #00af00\">37,248</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRU</span>)                     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)         │        <span style=\"color: #00af00; text-decoration-color: #00af00\">24,960</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_2 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRU</span>)                     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)         │        <span style=\"color: #00af00; text-decoration-color: #00af00\">24,960</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_3 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRU</span>)                     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)         │        <span style=\"color: #00af00; text-decoration-color: #00af00\">24,960</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_4 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRU</span>)                     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)         │        <span style=\"color: #00af00; text-decoration-color: #00af00\">24,960</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_5 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">30</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)         │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">GRU</span>)                     │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │        <span style=\"color: #00af00; text-decoration-color: #00af00\">24,960</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_6 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dropout</span>)             │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">64</span>)             │             <span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                   │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">25</span>)             │         <span style=\"color: #00af00; text-decoration-color: #00af00\">1,625</span> │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_1 (<span style=\"color: #0087ff; text-decoration-color: #0087ff\">Dense</span>)                 │ (<span style=\"color: #00d7ff; text-decoration-color: #00d7ff\">None</span>, <span style=\"color: #00af00; text-decoration-color: #00af00\">1</span>)              │            <span style=\"color: #00af00; text-decoration-color: #00af00\">26</span> │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
       "</pre>\n"
      ],
      "text/plain": [
       "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
       "┃\u001b[1m \u001b[0m\u001b[1mLayer (type)                   \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m      Param #\u001b[0m\u001b[1m \u001b[0m┃\n",
       "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
       "│ gru (\u001b[38;5;33mGRU\u001b[0m)                       │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m128\u001b[0m)        │        \u001b[38;5;34m50,304\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout (\u001b[38;5;33mDropout\u001b[0m)               │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m128\u001b[0m)        │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_1 (\u001b[38;5;33mGRU\u001b[0m)                     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)         │        \u001b[38;5;34m37,248\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)         │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_2 (\u001b[38;5;33mGRU\u001b[0m)                     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)         │        \u001b[38;5;34m24,960\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_2 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)         │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_3 (\u001b[38;5;33mGRU\u001b[0m)                     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)         │        \u001b[38;5;34m24,960\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_3 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)         │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_4 (\u001b[38;5;33mGRU\u001b[0m)                     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)         │        \u001b[38;5;34m24,960\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_4 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)         │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_5 (\u001b[38;5;33mGRU\u001b[0m)                     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)         │        \u001b[38;5;34m24,960\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_5 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m30\u001b[0m, \u001b[38;5;34m64\u001b[0m)         │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ gru_6 (\u001b[38;5;33mGRU\u001b[0m)                     │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │        \u001b[38;5;34m24,960\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dropout_6 (\u001b[38;5;33mDropout\u001b[0m)             │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m)             │             \u001b[38;5;34m0\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense (\u001b[38;5;33mDense\u001b[0m)                   │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m25\u001b[0m)             │         \u001b[38;5;34m1,625\u001b[0m │\n",
       "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
       "│ dense_1 (\u001b[38;5;33mDense\u001b[0m)                 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m)              │            \u001b[38;5;34m26\u001b[0m │\n",
       "└─────────────────────────────────┴────────────────────────┴───────────────┘\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Total params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">214,003</span> (835.95 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m214,003\u001b[0m (835.95 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">214,003</span> (835.95 KB)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m214,003\u001b[0m (835.95 KB)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"font-weight: bold\"> Non-trainable params: </span><span style=\"color: #00af00; text-decoration-color: #00af00\">0</span> (0.00 B)\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model = keras.Sequential()\n",
    "model.add(layers.GRU(units=128, return_sequences=True, input_shape=(x_train.shape[1], 1)))\n",
    "model.add(layers.Dropout(0.5))\n",
    "model.add(layers.GRU(units=64, return_sequences=True))\n",
    "model.add(layers.Dropout(0.5))\n",
    "model.add(layers.GRU(units=64, return_sequences=True))\n",
    "model.add(layers.Dropout(0.5))\n",
    "model.add(layers.GRU(units=64, return_sequences=True))\n",
    "model.add(layers.Dropout(0.5))\n",
    "model.add(layers.GRU(units=64, return_sequences=True))\n",
    "model.add(layers.Dropout(0.5))\n",
    "model.add(layers.GRU(units=64, return_sequences=True))\n",
    "model.add(layers.Dropout(0.5))\n",
    "model.add(layers.GRU(units=64, return_sequences=False))\n",
    "model.add(layers.Dropout(0.5))\n",
    "\n",
    "model.add(layers.Dense(25))\n",
    "model.add(layers.Dense(1))\n",
    "\n",
    "model.compile(optimizer='adam', loss='mean_squared_error')\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "RPsPTkcaCzjw"
   },
   "source": [
    "## 7. Train the Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZBSGMO0ACzjw"
   },
   "source": [
    "`batch_size` defines the number of samples that will be fed into the network in each epoch.\n",
    "\n",
    "Suppose you have 150 training samples and you want to set up a batch_size equal to 40. The algorithm takes the first 40 samples (from 1st to 40th) from the training dataset and trains the network. Next, it takes the second 40 samples (from 41st to 80th) and trains the network again. We can keep doing this procedure until we have propagated all samples through of the network. Problem might happen with the last set of samples. In our example, we will be left with 30 samples which is not divisible by 40 without remainder. The simplest solution is just to get the final 30 samples and train the network.\n",
    "\n",
    "\n",
    "`epochs` mean how many times you go through your training set. In order to minimize the loss function (i.e., errors of our model) and by backpropagation (i.e., providing feedback to the network), we need to update those weights multiple times in order to reach the optimum loss, so the algorithm needs to pass throught all the dataset multiple times (i.e., we need multiple epochs).\n",
    "\n",
    "A training step means using one batch size of training data to train the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "_7vkTHkdY0Gt",
    "outputId": "5c21721c-e225-46de-f9ed-93d6c9fad7cc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/2\n",
      "\u001b[1m78/78\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m27s\u001b[0m 136ms/step - loss: 0.0125\n",
      "Epoch 2/2\n",
      "\u001b[1m78/78\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 128ms/step - loss: 0.0053\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.src.callbacks.history.History at 0x7f155c5f5160>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x_train, y_train, batch_size = 40, epochs = 2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "oMZUwHF1Czjw"
   },
   "source": [
    "## 8. Evaluate the Model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lb5yCX0HCzjx"
   },
   "source": [
    "Obtain the stock price predictions from the trained model using the testing dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "UKSRrHkiYcwd",
    "outputId": "33966725-14ee-4c4a-c4ed-0d27f47804d2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1m81/81\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 46ms/step\n"
     ]
    }
   ],
   "source": [
    "predictions = model.predict(x_test)\n",
    "predictions = min_max_scaler.inverse_transform(predictions)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "C6CwAN7GCzjx"
   },
   "source": [
    "Check the level of error in our trained model. Note that the Root Mean Square Error (`RMSE`) is a standard way to measure the prediction error of a model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "zdx5Ss0-Czjy",
    "outputId": "b361a5fc-154f-4190-e408-5695b56afe0c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "28.417271481817508\n"
     ]
    }
   ],
   "source": [
    "rmse = np.sqrt(np.mean(predictions - y_test)**2)\n",
    "print(rmse)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zLBVb_YACzjy"
   },
   "source": [
    "## 9. Visualization of the Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 895
    },
    "id": "BJknHgqwZRrR",
    "outputId": "7938adbe-b958-44e4-8279-f460cf5dbb9a"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f155c5f7a10>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = graph_stock.filter(['Close']).copy()\n",
    "train = data[:training_data_length].copy()\n",
    "testing_the_model = data[training_data_length:].copy()\n",
    "testing_the_model['Predictions'] = predictions.copy()\n",
    "plt.figure(figsize=(16,10))\n",
    "plt.title('Stock Price Predcition',fontsize=15)\n",
    "plt.xlabel('Date',fontsize=12)\n",
    "plt.ylabel('Close Price USD ($)',fontsize=12)\n",
    "plt.plot(train)\n",
    "plt.plot(testing_the_model[['Close', 'Predictions']])\n",
    "plt.legend(['Training', 'Testing', 'Predictions'],fontsize=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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