04_TwitterSentimentAndCryptocurrencies.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlation analysis between the Bitcoin currency and Twitter\n",
    "\n",
    "This project consists of a correlation analysis between the Bitcoin currency and tweets. In order to define the positiveness of a tweet (if the course of the bitcoin will go up or down), we realise a sentiment analysis of each tweet using the VADER algorithm. Finally we try to find a correlation between the two and we will make some machine learning to make predictions.\n",
    "\n",
    "This notebook was written using Python 3.6."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import the Python dependencies\n",
    "For this project we need Pandas to manage all of our datasets.\n",
    "\n",
    "You will need to run the following commands with pip to install the dependencies:\n",
    "\n",
    "```\n",
    "pip install VaderSentiment\n",
    "pip install pandas\n",
    "pip install tqdm\n",
    "...\n",
    "```\n",
    "\n",
    "You can also run `pip install .` from the project's root folder to install all the requirements from the `requirements.txt` file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "import io\n",
    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from tqdm import tnrange, tqdm_notebook, tqdm\n",
    "import glob\n",
    "from datetime import datetime, timedelta"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set the currency and the data files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the currency\n",
    "#CURRENCY = \"zilliqa\"\n",
    "#CURRENCY_SYMBOL = \"ZIL\"\n",
    "CURRENCY = \"nexo\"\n",
    "CURRENCY_SYMBOL = \"NEXO\"\n",
    "#CURRENCY = \"bitcoin\"\n",
    "#CURRENCY_SYMBOL = \"BTC\"\n",
    "\n",
    "CRYPTO_FOLDER = f\"data/crypto/{CURRENCY_SYMBOL}\"\n",
    "TWITTER_FOLDER = f\"data/twitter/{CURRENCY_SYMBOL}\"\n",
    "\n",
    "#tweets_clean_file = f'{TWITTER_FOLDER}/{CURRENCY}_tweets_clean.csv'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the datasets\n",
    "\n",
    "We read the data generated from two other notebooks, TwitterExtraction and CryptoCurrencyExtraction. The extraction process is detailed in these notebooks so please refer to them for any information needed. Here we simply gather all the extracted data to generate two datasets :\n",
    "\n",
    "- The twitter dataset : contains historical tweets related to the targeted crypto currency with a sentiment score.\n",
    "- The crypo dataset : contains historical data of the crypto currency we target with the change in USD.\n",
    "\n",
    "### Twitter dataset\n",
    "\n",
    "The data is split into multiple files. Here it is gathered into a single dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tweet shape before droping duplicates (2576, 9)\n",
      "tweet shape after droping duplicates (2551, 9)\n",
      "duplicates removed 25\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Text</th>\n",
       "      <th>UserName</th>\n",
       "      <th>UserFollowerCount</th>\n",
       "      <th>RetweetCount</th>\n",
       "      <th>Likes</th>\n",
       "      <th>CreatedAt</th>\n",
       "      <th>compound</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>997843451952615424</td>\n",
       "      <td>RT : Nexo Community is now the largest crypto ...</td>\n",
       "      <td>Riasat Ali</td>\n",
       "      <td>165</td>\n",
       "      <td>571</td>\n",
       "      <td>0</td>\n",
       "      <td>Sat May 19 14:16:32 +0000 2018</td>\n",
       "      <td>0.8356</td>\n",
       "      <td>138.7096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>997847715433385992</td>\n",
       "      <td>RT : best experience in the crypto-space so fa...</td>\n",
       "      <td>CCrypto</td>\n",
       "      <td>34</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>Sat May 19 14:33:29 +0000 2018</td>\n",
       "      <td>0.6988</td>\n",
       "      <td>24.4580</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   ID                                               Text  \\\n",
       "0  997843451952615424  RT : Nexo Community is now the largest crypto ...   \n",
       "1  997847715433385992  RT : best experience in the crypto-space so fa...   \n",
       "\n",
       "     UserName  UserFollowerCount  RetweetCount  Likes  \\\n",
       "0  Riasat Ali                165           571      0   \n",
       "1     CCrypto                 34            45      0   \n",
       "\n",
       "                        CreatedAt  compound     score  \n",
       "0  Sat May 19 14:16:32 +0000 2018    0.8356  138.7096  \n",
       "1  Sat May 19 14:33:29 +0000 2018    0.6988   24.4580  "
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#tweets = pd.read_csv(tweets_clean_file)\n",
    "twitter_files = glob.glob(f\"{TWITTER_FOLDER}/*~*.csv\")\n",
    "twitter_files = sorted(twitter_files)\n",
    "\n",
    "dfs = []\n",
    "for file in twitter_files:\n",
    "    dfs.append(pd.read_csv(file))\n",
    "tweets = pd.concat(dfs)\n",
    "#tweets = tweets.sort_values(by=['ID'])\n",
    "\n",
    "# Drop duplicate tweets\n",
    "print('tweet shape before droping duplicates', tweets.shape)\n",
    "duplicates_removed = tweets.shape[0]\n",
    "tweets = tweets.drop_duplicates(subset=['ID'])\n",
    "duplicates_removed -= tweets.shape[0]\n",
    "print('tweet shape after droping duplicates', tweets.shape)\n",
    "print('duplicates removed', duplicates_removed)\n",
    "\n",
    "# Display dataframes head\n",
    "tweets.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Crypto dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bitcoin shape before droping duplicates (20688, 5)\n",
      "bitcoin shape after droping duplicates (20674, 5)\n",
      "duplicates removed 14\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>close</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>open</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.2037</td>\n",
       "      <td>0.2037</td>\n",
       "      <td>0.2037</td>\n",
       "      <td>0.2037</td>\n",
       "      <td>1526990700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.2037</td>\n",
       "      <td>0.2037</td>\n",
       "      <td>0.2037</td>\n",
       "      <td>0.2037</td>\n",
       "      <td>1526990760</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "    close    high     low    open        time\n",
       "0  0.2037  0.2037  0.2037  0.2037  1526990700\n",
       "1  0.2037  0.2037  0.2037  0.2037  1526990760"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "CRYPTO_FOLDER = f\"data/crypto/{CURRENCY_SYMBOL}\"\n",
    "crypto_files = glob.glob(f\"{CRYPTO_FOLDER}/*.csv\")\n",
    "dfs = []\n",
    "for file in crypto_files:\n",
    "    dfs.append(pd.read_csv(file))\n",
    "crypto_usd = pd.concat(dfs)\n",
    "crypto_usd = crypto_usd.sort_values(by=['time'])\n",
    "\n",
    "# Drop duplicates\n",
    "print('bitcoin shape before droping duplicates', crypto_usd.shape)\n",
    "duplicates_removed = crypto_usd.shape[0]\n",
    "crypto_usd = crypto_usd.drop_duplicates(subset=['time'])\n",
    "print('bitcoin shape after droping duplicates', crypto_usd.shape)\n",
    "duplicates_removed -= crypto_usd.shape[0]\n",
    "print('duplicates removed', duplicates_removed)\n",
    "crypto_usd.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Group by and sum by timeframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:4: FutureWarning:\n",
      "\n",
      "pd.TimeGrouper is deprecated and will be removed; Please use pd.Grouper(freq=...)\n",
      "\n",
      "/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:9: FutureWarning:\n",
      "\n",
      "pd.TimeGrouper is deprecated and will be removed; Please use pd.Grouper(freq=...)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "tweets['CreatedAt'] = pd.to_datetime(tweets['CreatedAt'])\n",
    "tweets.index = tweets['CreatedAt']\n",
    "\n",
    "tweets_grouped = tweets.groupby(pd.TimeGrouper('1h'))['score'].sum()\n",
    "\n",
    "crypto_usd['time'] = pd.to_datetime(crypto_usd['time'], unit='s')\n",
    "crypto_usd.index = crypto_usd['time']\n",
    "\n",
    "crypto_usd_grouped = crypto_usd.groupby(pd.TimeGrouper('1h'))['close'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the scores\n",
    "We calculate the mean of each tweets grouped by hour and then we plot it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Hyr8UPjj9avtsln95eHyVZWJb5S12aa2uLvqDpMMlXRVC2N3C9W6IDmv9W/MlSf9hZk+Wh1/DmhpC5dksr5TZL92CVsV/y1sUX29ml8t3snBxVHUTi4dHH5Vx/SOjw5nC23qew3or//4o/2L+aPmw8aR4+7KqPBqVfD7/0EHblfRoeVth+rwJ+Xw2yQOMfkkviKpFJe1rjc6q8spT7+vudkmHm1l/MiyI2gKX1HibRb43VV1/CGHCzC6Th0DPkc9V+1V08Tp5+2tcFVlL6FXtvuRddlt02WAdv+t1i94HfxD9yMzeLm+zfZP8fSN+/e8pYDuKqACeSXx/Jnrk/gAAZtBV7Y0hhF/KP1TvY2YPN9818bVmdpmZPSrjqq+W78kFANrly/Ivzv9oZpmzkMzsSdEXjJoE35vUmfIv2R+Kzq42A+q9qds7Wd4Sc07i7Dj4OSDj+ufI/06k1/MCeRhwXrW2nuiy70g60szelL48auuL3SppcRQCxZf3yQclt9I35PfpY1kXmllWW0stfif/EvxX0R7d0utNVwN8Ux50/ZN8PtEPctoxp4ge029LerKZ/UXWMmb20NR1Nku6UNLL5HOZ9tP0ypHfSvqTpDea2YrEuuaoMoD63Bk2r57nsNrrLkv8mn1f8rE0s8fIKx9/Fd3PVjlLHnR8yMz2S1+Y2IZ2b1fSu1O3+UR5QLMuEejGgVP69fd+1fEZsIHX3bnyFrHXpxZ7T623qQLfm2pYv+Rh1jL5Hv2uCiHsTZx/qHzPmveFEG6e4Xb23ZaZZd1W5mVR+9wFkl5mvpfeKcyl58XVJTVXMBbP+Yu356fyf7a8N2v7zWy+mTXSyi/V/z7QCtfJq3n/2symBfJmNpDzPNWijPsDAJhBt1V6ZTlD0l+HEP5gZk+R7yksnsEgM1stn/1QVPk5AEwTQthrZi+Wtx6eY2YXyYdMb5HPx3mmPLz6ZJ2r/pI8hHi1pF+EEPKqUB6Uf1k6SL43rUdKert8ltVpieVulg92f7uZ7ZVXczwQQrhEHrC9QdJ7zGyNfIj1IxLrqaWC7YPy9+Qvm9lz5dUSJv9iOiDpddFyZ0j6B0k/NLP/kAcOf6EW/50KIZxlZl+T9M4oJPiR/LE6RNJx8vtXd3VZCCGY2RvlVSC/MbOvyL9YLZXP/fmJpP9KLL/NzM5SNNdL2XPZ8nxAXuX3PTP7nrzaZ1Q+x+mF8oHbp6au83V5CPMp+fDqKQFWVNnyTkk/lHS1mZ0hf128UtKxkj5a5bUWq+c5rPa6myaEcHF0X18lr2L8kaQVkt4hDw//doZtq0sIYZOZ/W95xcuNZvYNefXUwfKB/n8ln8HW1u1KWS3pp2Z2nqSV8vbYIfn7Q+yH8tDxgug5HZXP3zpaM1dCpdXzuvukvMrsS2b2JHkgvFb+O1br7Rb93hRXyX3CzL4tf77WR3PwpMrnxkfL984Z+6V8z4lHqvZ/qF4lf34+Z2Y/ljQm6ddR9V21y94mf8/8ZfQavE4e9j1M/jr8hqa+n9frFjO7StKv5S2KKyW9Vf68flfyHSGY2evlQeOGaNTIbfL3tkfJw/ST5X9n6nW1fCbeB8xsf/ncuTtCCL9u4j5VFb1Xv07+/N4Q3Z+b5KNQHiG/P++Tv8bqVdf7GgCgTWrdzWOn/MjnnqyPji+Sf8C7PvFzS2r590j6r7K3mx9++JmdP/IP0u+Sf3HZJv9Cc788DHudpP7EshvlQ5FnWuc6eeXN63Iu/3m0rofJw42d8g/i50p6RMbyL5T/d384Wu/PE5ctlFdF3S7/IvSAvEppdR2PwVL5l+DbonVske+V7hUZ23G9pBH5F7BPyCvTgqTTEsutVZXdwsf3f4Ztel20DTuj+71R0tmSXplYZk36thOXnRZdtiZ1/hHyGTz3Rff1HvmXxSdmrOPp0Tr+IMkaeF39s6Qbo7+Du1TZS+ZTMpYfjB73IOlLVdZ7gjycjR+X6yS9OWO5MxXtELGR57Da6y7vcZeHZ++J7ueIvPL7HEmPTS1X9/NW5fF4bvR47Ii28/boMV7W4u3KfM3KQ6QgaW36sZeH59+Mnte98i/xT8pYx0vlgdQeeeD0XXml0kal3m+i9Z7ZitdddBtnqfL+c76kh2fdbpXbK/q96d3R9cfSz40q8/+CpKenrnd5dH5NvxvyoOr/Sdokr77b9/5V7bLo8uXyNsNbo8dhe/T4/4ekIxt9bUfXea88xHsgeu3eJZ8bmfV+9Rj5e9vd0eN9v6QrotfDATW8ltekH+Po/DfIw6LR5OtPGe/zWeclLst8XeU9LvKw9gvR9eK/S9dGr6lV1Z7Par8vqvKa5Ycffvjhp5wfC6G72s+j/+j9KITwmKjlYEMIYWWV5a+T9I4QwhVt2kQAKJSZXSCvmDgohDBtkLH5ntrWhBDWtHnTUIeoDfDXkt4fQshstwTSzOxMSW8IITBAGwAAYAZdNdMrLYSwU9IdZnaKtG++wePiy83sCPmg1itL2kQAaCkze4S8LfKbWYEXuso75RUmXyt7QwAAAIBe1FUzvczsO/LS5uVmtkk+yPk1kj5vZh+UNEdetv+76CqvlvTd0G3lbACQEs0sfLR8RtCopH8rd4vQiGiveS+R7yXxtZLOCNP3sAkAAACgBboq9AohvDrnoufnLH9acVsDAG31Nvme0G6X9JoQwsZyNwcNeoh8+PVu+byjd5e7OQAAAEDv6rqZXgAAAAAAAMBMunqmFwAAAAAAAJCla9ob+/r6wvz588veDAAAAAAAgJ6xd+/eEELoyaKorgm95s+frz179pS9GQAAAAAAAD3DzHp2r/A9meQBAAAAAABgdiP0AgAAAAAAQM8h9AIAAAAAAEDPIfQCAAAAAABAzyH0AgAAAAAAQC4ze76ZbTCz28zsvRmX/72Z3WxmN5jZOjNbHZ3/eDO70sxuii57ZVu3O4TQzttr2MKFCwN7bwQAAAAAAGgdM9sbQlhY5fJ+SbdK+nNJmyRdLenVIYSbE8s8U9KvQwh7zextktaGEF5pZodLCiGEP5jZQZKulfToEML2Iu9TjEovAAAAAAAA5HmypNtCCLeHEEYlfVfSSckFQgiXhhD2RievknRIdP6tIYQ/RMfvkfSApIe0a8MJvQAAAAAAAJDnYEl3JU5vis7L8yZJF6bPNLMnSxqU9MeWbl0VA+26IQAAAAAAAHScATO7JnH6jBDCGYnTlnGdzFlZZvZaScdIOiF1/kpJ35T0hhDCZJPbWzNCLwAAAAAAgNlrPIRwTJXLN0lalTh9iKR70guZ2XMkfUDSCSGEkcT5+0n6saQPhhCuas0m14b2RgAAAAAAAOS5WtIjzewwMxuU9CpJ5yUXMLMnSPqipBNDCA8kzh+U9ENJ3wghfL+N2yyJ0AsAAAAAAAA5Qgjjkt4p6aeSbpH0vRDCTWb2r2Z2YrTY6ZIWSfq+mV1vZnEo9gpJz5B0anT+9Wb2+HZtu4WQ2YbZcRYuXBj27NlT9mYAAAAAAAD0DDPbG0JYWPZ2FIFKLwAAAAAAAPQcQi8AAAAAAAD0HEIvAAAAAAAA9BxCLwAAAAAAAPQcQi8AAAAAAAD0HEIvAAAAAAAA9BxCLwAAAAAAAPQcQi8AAAAAAAD0HEIvAAAAAAAA9BxCLwAAoDe+UbrkkrK3ItsnfvUJff7qz5e9GQAAAOgyhF4AAMxyk5PSmWdK69aVvSXZzrrlLJ274dyyNwMAAABdhtALAIBZbmzMD4eHy92OPCEEBYWyNwMAAABdhtALAIBZbnzcD0dGyt2OPEFBIRB6AQAAoD6EXgAAzHIdH3pR6QUAAIAGlBp6mdn7zSyY2WfK3A4AAGazTm9vnAyTmgyTZW8GAAAAukxpoZeZHSvpLZJuKGsbAABAF1R60d4IAACABpQSepnZEknflvQmSdvK2AYAAOA6PvSivREAAAANKKvS6wxJZ4UQLinp9gEAQIT2RgAAAPSigXbfoJm9RdIjJL2u3bcNAACm6/hKL9obAQAA0IC2hl5mdoSkj0p6eghhtIbl3yrprZI0ODhY8NYBADA7dXzoRXsjAAAAGtDu9sbjJC2XtN7Mxs1sXNIJkt4enZ6bXDiEcEYI4ZgQwjEDA20vSgMAYFaIQy/aGwEAANBL2p0knSPpmtR5X5P0B3kF2IzVXwAAoLXimV4dW+lFeyMAAAAa0NbQK4SwXdL25HlmtkfS1hDC+nZuCwAAcLQ3AgAAoBeVtfdGAADQgPPPl7Zube06Oz70otILAAAADSg99AohrA0hvLPs7QAAoNPt2iWddJL01a+2dr1xeyMzvQAAANBLSg+9AABAbXbvlkKQNm9u7Xo7vtKL9kYAAAA0gNALAIAuMTTkh7Q3AgAAADMj9AIAoEvEode2ba1db9zeODYmTXZgFyHtjQAAAGgEoRcAAF2i6EovqTOrvWhvBAAAQCMIvQAA6BJFVXp1fOhFeyMAAAAaQOgFAECXKKrSK25vlDpzD45UegEAAKARhF4AAHSJ2VrpxUwvAAAANILQCwCALhGHXrt2Ta3Oalanh160NwIAAKARhF4AAHSJOPSSpO3bW7de2hsBAADQiwi9AADoEsnQq5VzvTq90ov2RgAAADSC0AsAgC6RDL1aOder00Mv2hsBAADQCEIvAAC6RFGVXrQ3AgAAoBcRegEA0CVma6UX7Y0AAABoBKEXAABdYrbO9KK9EQAAAI0g9AIAoEsMDUlLl/rxVlZ60d4IAACAXjRQ9gYAAIDaDA1JixdLExNUegEAAAAzIfQCAKBLDA1J8+dLfX3M9AIAAABmQugFAECXiEOvBQuKq/SivREAAAC9gtALAIAukQy9Wj3Ta3BQGh3tzEov2hsBAADQCAbZAwDQJeLQa//9W1/ptXChH+/E0Iv2RgAAADSC0AsAgC4Rh14HHND6mV5z50oDA5X2xr17pUc9Srr00tbdTqNobwQAAEAjCL0AAOgS6UqvVnX8jY154DVvXqXS6957pQ0bpGuvbc1tNIP2RgAAADSC0AsAgC6RrPQaHfVqrFYYH/fQa+7cSui1e7cfbt/emttoBpVeAAAAaAShFwAAHWR8XLr11uzLhocroZfUuhbH8XFpzhwPveL2xl27/HDHjtbcRjOY6QUAAIBGEHoBANBBvvMd6YgjpA9/eHr7YrK9UWrdMPus9sY49OqISi/aGwEAANAAQi8AADrIli1+eNpp0l/9lbcxxpLtjVJrK71obwQAAECvIfQCAKCDxO2F732vdOaZ0r/9m5+emPAArIhKr2R7Y7rSqxPaG4MC7Y0AAACoG6EXAAAdJA69PvpR6cADpTvumHp+EZVecXtjcqZXp1R6xW2NtDcCAACgXgNlbwAAAKgYHvbwyUzab79KpdXQkB8WVek1MODVXp1W6RUUpK0P08SCBeVuCAAAALoOoRcAAB1keNgHykvSkiXZodfixVJ/fzEzvXbu9PM6ZZB9CEE696vau2CP9LFytwUAAADdhdALAIAOUkvoZebVXq3ce+P8+dntjTt3+jyx/v7W3Fa9JsOkNLxEk2FeORsAAACArsVMLwAAOkg69Iorr5Khl+RzvVpd6TVv3vT2xvTxdgsK0sRcaWRReRsBAACArkToBQBAB0mGXnkzvaTaK71OPVX64AerL5Nsb4xDr7jSSyq3xTGEIE0MKowuLG8jAAAA0JUIvQAA6CC1tDdKtVV67d0r/fd/S5ddNvX8k0+WPvvZyumxMR9in2xvTFZ3lTnMfjJMeuhFpRcAAADqxEwvAAA6SDr02rVLmpzMrvTasKH6ui6/3AOtLVumnn/RRdLSpZXTWe2Nu3f7eePjJVd6ySu9NLK4vI0AAABAV6LSCwCADjI0NDX0kjz4Sodey5ZND7PSLrnED5PLDQ15BdjoaOW8rPbGXbukgw7y42VWesXtjZqYO2WbAQAAgJkQegEA0EHSM70kD52yQq8dOzywypMMvUKoHJcq4ZaU3954yCF+vMxKr7i9Md4mAAAAoFaEXgAAdJB0e6OUH3pJ+cPsd+yQrrnG1zE2Ju3Z4+fHoVdWpde8eX58ctLbGzsh9NrX3qipw/UBAACAmRB6AQDQQYaHK8FWHHrt3Dk99Fq+3A/zWhx/+UsPr048cepyWZVeyfbG+LJdu6RPmeP8AAAgAElEQVRVq/x0me2NExNBmpwjiUovAAAA1IfQCwCADlJvpdeDD2av55JLfD0vepGfTode6UqvuL1R8nBpdNSH5S9YUG6l1+hY2Hec0AsAAAD1IPQCAKCDzDTTK75spkqvSy6RnvY0aeVKPx23QebN9IrbG5PLLFrke3kss9JreGRy33FCLwAAANSD0AsAgA5SrdJrcFDqi/5yV6v02rxZuuEG6dnPriwXB1nx8nl7b4yvL0mLF/s2lFrplQjnCL0AAABQD0IvAAA6SFboFc/0ilsbpelhVtI11/jh8cdPXy5vpleyvTEOxuJKrzJDr5FEOLdzZ8hfEAAAAEgh9AIAoENMTnoFVhx6LVgg9fdXKr2SodeCBb5cVui1caMfPvzh0gEH+PF0e2Oy0iuvvXHx4g5rb9xN6AUAAIDaEXoBANAh4uqrOHwy87leWaGXmVdxZbU3btzorZArVvjhokX5lV6Tk/6TbG9MVnq1ur0xBOltb5Ouvba25ae2NxJ6AQAAoHaEXgAAdIjhYT+MQy/JQ6es0EvyYfZ5lV6rV0+d/5U302tiwg+z2huLqPTauVP6whekCy+sbfnRsanXBQAAAGo1UPYGAAAAlxd67dzpLYjp0KtapdeaNVOXy9t741gUKiXbG5OhV1zpFYJXlzUrvt3du2tdvlLdtavG6wAAAAASlV4AAHSMeiu9khVcSenQ64ADprc3xpVe4+N+mNfeuHSpB2NDQ43eq6ni+1hz6DWaCL2o9AIAAEAdCL0AAOgQcbCUDL3yZnpJ2e2NQ0PSAw9Mr/TassUDrng+V1xxFYde1dobpda1OMa3u2dPbcsnB+7XGpQBAAAAEqEXAAAdo1p7Y16l19atPog+duedfrh69fTl4hbHZcu8eiuE/PbGvj6/vSVL/LxWDbOvt70xGXrR3ggAAIB6EHoBANAhGhlkPzk5NZDauNEP0+2N27ZJmzf76YMO8sPR0ez2xi1bvLXRrPWVXvW2N47GM70Gd2rXrtZsAwAAAGYHQi8AADpEIzO9pKnD7LNCr2XLPBy7/XY/nRV6Jdsbd+zw1kapEnq1utKr5vbGsWh6/oIHtZvQCwAAAHUg9AIAoENkhV777efB1Nat+aFXcq7Xxo0eYK1cOX25W2/1w/iykZHs9kbJK72kDmhvjJbXgi3avasFu48EAADArEHoBQBAh4hDr2S4FYdOe/dmtzdK0yu9Vq/2mVyxAw7wwzj0mqm9UZpe6VVWe+NIPNNr/hZmegEAAKAuhF4AAHSIvPbGWK2VXsnWxuRy6dBrZCS7vVEqvtKr9r03RjO9FmzRnt1UegEAAKB2hF4AAHSIvPbGWF6lVz2h1+BgpfIr3d7Y1+fhl1Sp9FqwwC8rb5B9FHTN36rRUZuyN0cAAAC0h5k938w2mNltZvbejMv/3sxuNrMbzGydma1OXPYTM9tuZj9q71YTegEA0DHqrfRavNgDqbi9cWhIuv9+b29MikOue+7xACyu6Eq3N0qVy+LQK96DYxEzvUKYefnRKJTTfE/22IMjAABAe5lZv6TPSnqBpCMlvdrMjkwtdp2kY0IIR0s6S9InE5edLul17djWNEIvAAA6RL2hl5mHWHGl1513+mG60mvpUl9W8uUHB/14sr0xHXrF7Y3xNrQ69JqcrByvZl9l1wJCLwAAgJI8WdJtIYTbQwijkr4r6aTkAiGES0MIe6OTV0k6JHHZOkmlfIoj9AIAoEPUG3pJ3uIYV3pt3OiH6dCrv1/af38/nq70itsb47bG+LbjSi/JQ7NWtzdKtbU4jiYG2UuEXgAAACU4WNJdidObovPyvEnShYVuUY0IvQAA6BDDw16RFQdQUvWZXlJtlV7xcpKHZPVWehXR3ijVFnqNjVZmetV6HQAAANRlwMyuSfy8NXV51t6EMgdVmNlrJR0jb2ks3UDZGwAAANzwsFdaWeJjxUyh1/Ll0oYNfnzjRg/MVq6cvlw81ytd6dUX/fsrb6aX5NVm995b993JlAy9atmD4+iopP4Raa6XeFHpBQAA0HLjIYRjqly+SdKqxOlDJN2TXsjMniPpA5JOCCHUMMiieFR6AQDQIYaGprY2St6aGFdd5VV6xe2Nt90mHXqoXydrufgwDraSlV7p9sZkpdfy5dLmzfXfnyz1tjeOjUrqH5UGfWFCLwAAgLa7WtIjzewwMxuU9CpJ5yUXMLMnSPqipBNDCA+UsI2ZCL0AAOgQcaVXWjzXq1p744MPSj/+sXTCCdnrToZecXtjcqZXtUqvlSs99IqXbUa97Y2jYxaFXlR6AQAAlCGEMC7pnZJ+KukWSd8LIdxkZv9qZidGi50uaZGk75vZ9Wa2LxQzs8skfV/Ss81sk5k9r13bTnsjAAAdIi/02m8/6e6789sbx8el00/3SrF3vSt73XF74/LlUyu9amlvjNsl779fOuQQNSVZ6VVLe+PYqNHeCAAAULIQwgWSLkid9y+J48+pct2nF7hpVVHpBQBAh2i00kuS/uu/pOc9T3rMY7LXnVfplW5vzBpkH4derZjrVXel1772xl01XwcAAACQCL0AAOgYjYRey5f74dCQ9A//kL/uvJle6fbG+PazKr1aFXrFoVttoVfU3jgwooGBQKUXAAAAakboBQBAh2im0uvoo6Xn5BaVS49+tK/7sMOyK73S7Y1FVXoND1e2ufb2xlHJpAULJwm9AAAAUDNCLwAAOkS1mV5SdugVh1jvf79klr/uZz5T2rZNWrGi+t4bs2Z6HXigr7tVlV7xfLGa9t44Jg+9JC1cRKUXAAAAascgewAAOsTwcCXgSoorvbICsRUrPMxasGDm9cfXr7b3xqz2xjlzvI2yVaHXokUertUUesWVXpIWLqLSCwAAALUj9AIAoEPkVXodf7x03XWVsCqtlsAraWDA99qYrPRKtzcuXDj1OitXtq69ce5cX39N7Y1jhF4AAABoDO2NAAB0iLzQ6+STpXXrqrcv1mtwMHvvjcuWeVVXf//U5VsVeo2M+H1ctKjW9sapoRd7bwQAAECtCL0AAOgQeaFXEebOzd574z/8g3T55dOXP+ig1lZ61Rx6TWlvnKDSCwAAADWjvREAgA7RztArXekVh1777Zc9V2zlSun++6XJSW+NbNTISOPtjfPZeyMAAADqQKUXAAAdooxKr3R7Y56VK33ZBx9s7nbrbm8c7ZMGRiRJCxdS6QUAAIDaEXoBANAhyqj0GhvzWWEzVW+tXOmHzbY41tveOJ6o9FpA6IUetHatdNZZZW8FAAC9idALAIAOMD7uP2VUeg3UMOygVaFXve2No4mZXgsWTWpszMM6oBdMTkq/+IX029+WvSUAAPQmQi8AADrA8LAfljHTa6bWRqm1oVc97Y3jo32J0GtCkqj2Qs+I24sJcgEAKAahFwAAHaDdoVdy743trPSqe++NyUH2Cwi90FsIvQAAKBahFwAAHaDMSq9aQq9586SlS5sLvSYmKi2cCxd66BWCX3bttZUAIGl8rC+x90YPvWoJy4BuMDbmh4ReAAAUg9ALAIAOUFalV63tjZJXe9USel19tfT0p0tDQ1PPHxmp3PaiRR54DQ9Lt98uHXOMdM4509eVrPQaHJyYsh6g21HpBQBAsQi9AADoAGVVetXa3ijVHnr96lf+c8cdU89Ph16SV21t2ODHH3hg6vKTk9LEeKXSa87cSUmVxwrodoReAAAUi9ALAIAOUGalV6tDr23b/DAdYsWhVzzIXvLQa+NGP57em2Pc+lUJvaj0Qm8h9AIAoFiEXgAAdIA49Jo/vz23NzjYeHtjPIcrz9atfpgOveL7OHeuz/SSPOiKK8LSode+ICAOveZQ6YXewkwvAACKRegFAEAHKKPSq55B9pKHXsPD0o4d1ZebqdIr3d4YV3qlB9RPC73meaUXoRd6BZVeAAAUi9ALAIAOUMZMr5GR+md6SdI991RfLg69Nm+een5ee+PMlV5+xYE5tDeitxB6AQBQLEIvAAA6QLdUekkzz/XKq/TKa2+stdJrcJD2RvSWOPTaN78OAAC0FKEXAABtMD4uffzj0t692ZeXVelVz0yv/ff3w507qy+XN9Mrq73xvvukBx/04zPO9GKQPXoMM70AACgWoRcAAG1wzTXS+94n/exn2ZeXVelVT3vj3Ll+OFPoVM/eG2+6qXJ5utJr3+1EodfAIDO90FtobwQAoFiEXgAAtEEc6KSDndjQkB928kyvwUE/rBZ6hZA/0yurvXH9ej9cvLiGSi9CL/QYQi8AAIpF6AUAQBvEgU462ImVUekV326t7Y3xdap9Qd+zp/JFvlqlVxx63XijHx511MwzveJKL9ob0StobwQAoFiEXgAAtEGnhV5x1daePa2t9Irnea1a5RVfyQHdyUqvgQG/rw8+KC1YIB122MyVXmZBc+ZQ6YXeQaUXAADFIvQCAKANagm9+vtrD6CaFVdt1RN61VLpFbc2HnGEH8ZD6qWpg+ylSrXXmjU+42um0GsyTGrePEIv9A5CLwAAikXoBQBAG8Ste9VCr3ZVeUlTK73qbW+sVumVDr2SLY7J9kapMsw+Dr1mam8MCpo7l/ZG9A5CLwAAikXoBQBAG9RS6dXO0KuRSq84HKun0isZeiXbG6VK6HXYYV71tWePD8KPTQu9QqDSCz2FmV4AABSL0AsAgDbICr2GhqSvfMWrPcqq9Nq7t/bQq6/Pg69aZnpVq/RKh15r1njoFUJlL5ZSdqXXvHlUeqF3UOkFAECx2jQ5BACA2S0r9LroIunNb5aWLCmv0iuE2tsbJQ/L6mlv3Ly5clm1mV733efH9+zxwfZSIggY8CtOhknNnUulF3oHoRcAAMWi0gsAgDbICr127PDDb3+7vEovqb7h+XPnztze2N/ve28cGJje3jhnjleMSdPbG6Wpc71ob0Svi0OvyUlpYqLcbQEAoBcRegEA0AZZodeuXX54wQXSvfdK8+e3b3viaiupvtCrlkqvpUs92HrIQ6a3NyZvNz3IXpr6+NDeiF4Xz/SSqPYCAKAIhF4AALRBtdBrdFS68sryKr3qaW+cqdJr61bpgAP8+EMfOr3SK3kflyzxnwMOyK702hduRaEX7Y3oNXGll0ToBQBAEQi9AABog7zQq69POvxwP13GTC+p/vbGmSq99t/fjz/0odNneiVv993vls45RzKrsdKL9kb0GEIvAACKRegFAEAbZIVeu3dLixdLr3mNn+6GmV6DgzPP9EqGXun2xuR9XLNGWrvWj9c000thxtAN6CaEXgAAFIvQCwCANsir9Fq8WPrLv/TTZVV61dveWGulV3qm1/Dw1NtNqlrp1efJAJVe6DXM9AIAoFiEXgAAtEG10OsRj5Be9zrp6U9v3/Y0U+lVLfRKz/TavVsaGvLT6fbGpLjSKx16DcyZkMxPT4ZJBtmjp1DpBQBAser4mAsAABoVhzl790oh+ByrOPSSpG98o73b08xMr7wv55OT0vbtU9sbJZ/rdeih09sbk/LaG/vnTCjOBeL2Riq90CsIvQAAKBaVXgAAtEEceoVQqXzatavS1tduje69sVql165dHnwl2xulSotjtfbG/EqvyX2naW9Er6G9EcBs8ra3SV/8YtlbgdmG0AsAgIJNTnqF17JlfjoOduJB9mUootJr2zY/TFd6xaFXtfbGwUEP39KVXgNzJvadpr0RvYZKLwCzyYUXSpdeWvZWYLYh9AIAoGB79/phHALFoVeyvbHdGp3pVW2Q/datfpic6SV5e6PkFVrVhvUvWjS90qs/WekVtTeOjnqQCHQ7Qi8As8nYGO91aD9CLwAAChYHOZ0UejW698Zq7Y3NVHpJ3uJYrdIrbm+M15X2la9It95aw50AOkQy9Eq2OgJALxofp1ob7dfW0MvM3mFmN5jZzujnSjN7UTu3AQCAdqsWepU10ysZdBXV3rhwoTR/vnT//X56ptArs9JrYGp7Y3z99IfmiQnpLW+RPvKR2u8LUDZmegGYTQi9UIZ2V3ptkvQeSU+UdIykSySdY2ZHt3k7AABom6zQa2zMP/iVVellVmlxrCf0qqfSy0w66CBp0yY/PVN7Y7rSa2RkentjfP30MPtdu3wnAevW+SHQDWhvBDCbEHqhDG0NvUII54YQLgwh3BZCuDWE8AFJuyQd187tAACgnbJCrzjcKSv0kiqhVz3tjdUqvdIzvSTp0EOlu+7y441Ueg0M1NbeuGOHH959Ny2O6B6EXgBmk/Fx3uvQfqXN9DKzfjN7laRFkq4oazsAAChaVui1a5cfLzP0igOoVlZ6zZkjLVhQOW/Vqqmh10yVXtMH2SdCr2iQvTS90isOvSTpZz+r4Y4AHYDQC8BsQqUXytD20MvMHmtmuyWNSPqCpJNDCDe2ezsAAGiXTg29GmlvnGmm1/77e1tj7NBDvfpqfNyDqpkqvdKD7NMzvfLaG3furBxfty7/NrZskU44QVq7VnrFK6Qf/CB/WaBozPQCMJsQeqEMZVR6bZD0eEnHSvq8pK+b2WOyFjSzt5rZNWZ2zXjyX2EAAHSROPQ68MDK6Tj0KmuQvdRYpdfcuT40fmJi+mVx6JW0apU0OenVXpOTM++9sWqlVw3tjY99rHTppdnbJ0k//KH0y196aPaTn0if+ET+9gBFGx+vVEYSegHoZZOT/kPohXZre+gVQhiNZnpdE0J4n6TrJb0rZ9kzQgjHhBCOGajnEzkAAB0kDnIe8pDK6W6d6RVfJ+tD69atU+d5SV7pJUl/+IMf1jPIPl3pVUt748teJm3fLl13XfZtnHeetGaNdOWV0gteMLVCDGi38XF/3UuEXgB6W1zDwnsd2q20mV4JfZKq/N8XAIDuFodey5Z561+ntDc2WuklZX9ozav0kiqhV72D7PvmZLc35lV6nXyyH65bJ33nO9LKldL3v+/n7d0rXXyx9JKX+POw336EXigXlV4AZos49KLSC+3W1vIpM/u4pB9LukvSYkl/KWmtpBe1czsAAGinOMhZtMi/4HZz6FWt0mvXLunww6eeV0/otXChzzgaHfXbGR2V5s+pjDcIIb/SKw6vDj9cOuoo6SMf8e3p65P++Z+ll7/cB9wPD0snnujLLl5M6IVyjY0RegGYHQi9UJZ2V3qtkPQt+VyvdZL+TNILQggXtnk7AABomz17pP5+D3LiuVWdMNOrkfbGapVew8PT2xf3209asqS29sb4sYhDwqz2xrxB9jt2eHg3b570ohf5Ov7lX6RvfEPasEE691xvbdxvP+kZz6hs2549+fO/gKKNj0vz5/txQi8AvYzQC2Vpa6VXCOHUdt4eAACdYM8eD7vMKqFXJ8z0anWl18hIdiXXqlXSbbdNvc0s8Wyj3bu9TbLeQfZLlvhj/OEPS+94h88TGx/38OvjH5fuvNPneMX3Yb/9Kre3ZMkMdxwowPi4vx7nzCH0AtDbkjO9Qpi6p2egSJ0w0wsAgJ62e3cl0ElWevX1Vao8yhCHP62a6ZVV6SV5+HT77VOvnyWr0qtvYOpMr2qD7OPgat68ygD9gQHpH/9R+s1vpPvvr7Q2SpXQixZHlGVszF+jcTsvAPSq8cq0Ao2NlbcdmH0IvQAAKFhc6SVNDb0WLy73P51xgNRIe2O9lV7xh92Z9t4oVUKvkRGpfyAx06tKe+POnZUQK+3UU6WHPtRbTF/wgsr5hF4o2/g4oReA2SEZdNHiiHZqa3sjAACzUbXQq0yNVHrltTeG4OdlhVrxMHuptkqvuPUzvffGWtobs8yfL33mM9Ktt07du2T8+BN6oSzj4/47QegFoNclK71GRsr/DITZg9ALQKbJSf8APncuPfdAs9Kh15YtHuyUOcReamymV157Y3w6K9SKWw3zLo8lK70mJ/0Dcl+i0mum9sbVq/PXfcop08+LK73inQoA7TY+7pWWhF4Ael0y9OL9Du1EeyOATF/4gldHbN5c9pYA3a/TK73qaW/Mq/SKQ6iZKr1qaW/cvbvSBpHee+OcOR7E11PplYf2RpSNmV4AZot0pRfQLoReADLFX2z5EA40r1NDr1ZWesUfYJup9EoOso/Xn6z0CiHIzNdRz0yvPIReKBszvQDMFoReKAuhF4BMhF5A6+zZUwl0Oin0auVMr2qVXgcfXDlea6VXZuilsG8dydArBCq90J0IvQDMFoReKAuhF4BMhF5A6+RVenXKTK9W7L2xWqXX3LnSihX5l8eyKr2S7Y2TYVKSh17J29+7V5qYqD/0YpA9ysZMLwCzBTO9UBZCLwCZCL2A1kmHXhMTPsy+Gyu98tobq1V6SZW5XtVCr3nzfF5XstKrf05lH+chhH3rSFZ67djhh/W2Nw4M+OxCBtmjLMz0AjBbjFX+nFPphbYi9AKQKa+FCUB9QvBKpGToJXl1UdmhVyMzvfLeG6pVekmV0Ktae6OZV3tNnek1dZB9vI5k6BVXatVb6SV5UEalF8pCeyOA2YL2RpSF0AtAJiq9gNYYGvLgKx16SeWHXo3svbHRSq94mH21Si/JH59kpZcNVP41nNfeGFd6EXqh29DeCGC2IPRCWer43y6A2YTQC2iNPXv8sBNDr2c8Qzr55Pq2o9FKr1NO8WXi6+dJV3r1D4xLnnXN2N5I6IVm3H679K1vSR/8oNTXpn8LJ9sbk60/ANBrmOmFshB6AciUV80BoD7VQq+yB9kfd5x09tn1XafRSq+nPtV/ZhIP+p/S3hgdT7Y3ZlV61TvTK74OoRfGx6VXv1r6zW+kV75SOuKI9t0u7Y0AZgMqvVAW2hsBZKLSC2iN3bv9sBMrvRoRt0LWW+lVq0WLvOLm7/7OTy9ctn3fZcn2xlZVei1ezCB7SP/+7x54SdKdd7bvdgm9AMwWhF4oC6EXgEyEXkBrdHJ7YyP6+jz4Sn9gnanSq1YLF0rr10u//7101lnS8sPu3XdZXnsjg+zRjN//Xvrnf5aOPdZPb9zYvttmpheA2YK9N6IshF4AMhF6Aa3Ra6GX5KFT+r2hVZVez3mO9PznS9dfL7385R509Zl/XJmpvbGRx5PQC+96l/9ennWW1N/f3kqv5Ewv/t4C6GXM9EJZCL0AZCL0Alqjk2d6NWpwsLhKr3/6J+nCC6U1a/x0UFC/9fvxKoPsFy9ubPh4HHpFq8YstGGD9MIXSgcfLB1ySPtCr8lJf90NDHi1F39vAfQy2htRFkIvAJny9tAGoD5UejVnMkzuq/SqNtOrkdZGyUOvsTHe62azsbHK63b16vaFXvEXQCq9AMwGhF4oC6EXgExUegGt0YuhV5GVXmm1tDfu3Nlc6CUxzH42Gx2t/M0rI/RipheA2YDQC2Uh9AKQidALaI106LVgQeWybg292lnpFRTU3zdze2McXtUrfg6Y6zV7jY5W9kq6erV0991TBy4XJb4NKr0AzAbM9EJZCL0AZIq/uPJHCWhOHHrF87v6+/33q69Pmj+/vO1qRl6l15w5jc3VqmYyTO6b6ZVsb0wPsm+20ovQa/ZKV3pNTnrwVbR0e+PkpDQxUfztAkAZqPRCWQi9AGSK/+tN6AU0Z88eD4KSFVALF3oIZlbedjVj7tzpH1hHRlpf5SXltzdOTFQ+QBN6oRnJ0CvegcLGjcXfbjr0ircFAHpRsrqV0AvtROgFIFN/v//wARxozp49HnIlA66FC7u3tVHKb29s9TwvyYOufaFXor1RqrQ4tmKmF6HX7BSCh0/JSi+pPXO90jO9JP7mAuhd8XvewoWEXmivgbI3AEDnYsYI0Lw49EpKn+42ee2NRVV6mZlMNqXSS/JtWLSouZlehF6zW1x5EIdOq1b5YTtCr/RML4m/uQB6F6EXykLoBSAXoRfQvLzQq9Wzr9pp7lxp+/ap5xXV3jgZJmUymdm+mV7JSq/RUT9stNIrrrhj742zU/w3Lg6d5s2TVqxob6UXoReA2SAZevFeh3Yi9AKQK6uaA0B9hoamD6w//HBvH+5WeZVeRbU37qv0ClMrvYaHvcpLor0RjYm/eMVzLCVvcWx3e+Pk5NTtAYBeMz7uox7SO6MBitbF/2cGUDQqvYDmZVVAfetb0te/Xs72tEIZg+z7rC+zvTEOqxptb1ywwKvuCL1mp3Sll+TD7GlvBIDWGh/397uszxDoDmb2fDPbYGa3mdl7My7/ezO72cxuMLN1ZrY6cdkbzOwP0c8b2rndhF4AchF6Ac3LqoDq6+vu9sas94aiKr1mam9sttLLzAMzQq/ZKSv0Wr1a+tOfKtVXRaG9EcBsQujV3cysX9JnJb1A0pGSXm1mR6YWu07SMSGEoyWdJemT0XUPkPQhSU+R9GRJHzKz/du17V38kRtA0bL20FaEa6+V3vjG4r9gAGUoqgKqTG2t9KrS3jgy0nzoJRF6zWZ5odfoqHTffcXeNqEXgNlkbKwSevFe15WeLOm2EMLtIYRRSd+VdFJygRDCpSGEvdHJqyQdEh1/nqSLQwhbQwjbJF0s6flt2m5CLwD52lXpddFF0pln8qUTvamoCqgytbPSq1p7YysqvSQPvRhkPzul994oeeglFd/imJzpRegFoNeNj1fe76j06koHS7orcXpTdF6eN0m6sMHrthShF4Bc7Qq99kb/D+DDPnoRlV7NmVT19sZmZ3pJvgdHQvfZKa/SSyo+9GKmF4DZhPbGjjdgZtckft6autwyrhOyVmRmr5V0jKTT671uEdh7I4BchF5A83qx0iurNaHISq9q7Y1bt/rxZiu9tm1rckPRlfL23ii1r9JrYMB/ktsDAL2G0KvjjYcQjqly+SZJqxKnD5F0T3ohM3uOpA9IOiGEMJK47trUdX/ezMbWg0ovALkIvYDm9WKlV1ZrQqEzvaJKr7i9MVnp9ZvfSCtXSsuXN34bzPTqXp/9rHTrrY1fP6vSa/Fifz3ddltz2zaTbprptXu39LnPSaFt/5cH0GuSoVenvtehqqslPdLMDjOzQUmvknRecgEze4KkL0o6MYTwQBC1STMAACAASURBVOKin0p6rpntHw2wf250XlsQegHI1a6ee0Iv9LJeDL3mzvUdT8Rf2qU2zfQK02d6/fzn0gkn+F4YG0Xo1Z3uvlt65zulr3618XVkhV6SdOSR0i23NL7eWmTN9IpbHjvNl78sveMd0o03lr0lALpVHHox06s7hRDGJb1THlbdIul7IYSbzOxfzezEaLHTJS2S9H0zu97Mzouuu1XS/5EHZ1dL+tfovLagvRFALiq9gOb1YntjsiolbssqbKZXmNzX3hjP9Iofz/XrpXvvldaube42GGTfna680g+b2ctitdDrf/7HK5uaCVSr6aaZXhdf7IfxjiMAoF60N3a/EMIFki5InfcviePPqXLdr0pq4t9UjaPSC0AuQi+geb1a6SVN/dBaWKVXlfbGiy7ywxNOaO424tBrcrK59aC94tDr3nsbX0fW3hslD722bWsuUJtJt7Q3jox4RaVERSSAxo2NEXqhHIReAHK1q+ee0Au9KgT/YNfLlV5S5X4WMtOrSnvjjTdKBx4oHXFEc7exeLEf7t7d3HrQXldc4YdFVHoddZQf3nxz4+ueSbeEXldeWfk7TegFoFHj497OzUwvtBuhF4BcVHoBzYlf071e6TU25sFXEeFeVntj8vFsdp6X5JVeEl/ou8nIiPTb3/rxVoReyb03Sl7pJbUn9ErO9OrEv4Nxa6PE7wiAxiVneo2OsmMMtA+hF4Bc7Qq9hob8sBM/7APNGB72w16r9IpDp/h3Ng6/2rX3xv7+yiyxZlsbJUKvbvTb3/rr7+ijpc2bp+5UoR55lV4HHijtv3+xoVe3zPS6+GLp8Y/348z0AtCo5EwvqfJ+99GP+p6YgaIQegHIRaUX0Jwiw6AyxV/Q4/tXZLiX1d6YvK1WhF777++HRc5vQmvF87xOPtmrBR54oPryefJCLzOv9prt7Y1bt0rXXCOddJLU10cwDKBx6dBrZMRnaX7wg9J3v1vutqG3EXoByNWuXQoTeqFX9XqlV/z+UHilV9TeGFd6xbe1fHmlDa0ZT3mKt5j95CfNrwvtccUV0po1lQqkRgPLvNBL8tfWTTd5qDY6Kp1ySmWOWCt0Q3vjJZf4/X/uc70iktALQKOyKr127fL3mD17yt029DZCLwC5qPQCmtPrlV7x72yR4d5kmNzX3hjP9JKkpUulZz2r+XlekrRkibR2rXTuuc2vC8ULwSu9nvpUacUKP6/RPThWC72OOkrassXbJ885RzrrLOkXv2jsdrIk2xvjdt1O+zt40UUedj35yYReAJqTnOkl+WekuGWa0AtFIvQCkKtdgyYJvdCrqPRqXgiJSq/Em9HZZ0uf/nTrbuekk6Rbb5V+//vWrRPFuOsu6Z57pOOOk1au9PMarfSKg6e8Si/JWxy/9CU/Hs+gbIVke6OZV3x12t/B667zSsiBAUIv9K6Jidb+biPb2Fhl742Sf3bYvt2PE3qhSIReAHLFXwIaHRBci7GxypeOTvuwDzSLSq/mBSVmeiXaG48+uhJ4tMKJJ/rheee1bp0oRtxieNxxPnBear69Mb33RqkSep1/vvSzn/nxokIvqX3V1fXYsUNatsyPE3qhV33609KjHsXeBIuWNdMrDr3if4ADRSD0ApArvXeVIiS/QHTah32gWb0aerWz0iuvvbHVVq2SnvhEWhy7wUUXeUvq0Ud70Lp0afPtjXHwlHTQQR70fOYzPsR97txiQq84cOvE0GvnTmnxYj9O6IVe9bvfSX/6k7RtW9lb0tuyZnpR6YV2IPQCkKsdg3WT/9nptA/76H0h+JyeuFKp1WZLe2PRe2/MGmRfhBNP9FlR998v/ehH0pvfLN1yS6E3iTpNTHjl1YteVAmLVq5srtJrcDB7NpyZz/UaHZVe/GLfcUIrQ6/kTC+pM0OvXbs87JIIvdC77r7bD//0p3K3o9dlzfQi9EI7EHoByEXohV531VW+R7azzy5m/b1a6ZV+byh674372hsL7j056SQPQp/xDOklL5G+8hXpcY+T3v9+Wi86xRVXSA8+KL30pZXzVqxoPvTKE7c4vuUt0vz5xVR69UWfxjst9Bof99c9oRd63T33+OFdd5W7Hb2uWnsjoReKROgFIBehF3rdZZf54aZNxax/tlR6xYeFVXpF7Y1FV3o97nHSwx/u//U//XR/XbzmNdLHPiZ96EOF3jRqdM45/rfp+c+vnLdiRXPtjdVCr1NOkV72Mr+9IkKveIi91Hmh165dfkjohV5HpVd7EHqhLBkTDADAJcuPi8JML5Tp8sv9MP4vb6vNlkqvONwrbKZX1N5Y5EwvycOHX/zC2+Ye+lA/72tf8y9Cl1xS6E2jBiF46PXsZ1fmTEmVSq8QstsUqxkbqx56Pe95/iMVE3olB+h3WugVB1zxY71kiX8xnZiQ+vvL2y6glXbtqgS8hF7FGhvLn+lFNTWKRKUXgFxUeqGXhVDZC1yjVSIzodKreUGJSq827Frr4IMrgVfsuON80DH/iS7X+vXS7bdPbW2UfKbX3r3S7t31r3N0NHvPjVlaHXrFXwBjnRZ6ZVV6Jc8HekHyn160NxYrDvqT/1TfscOP8/cVRSL0ApCL0Au97NZbfTaQRKVXvdpZ6RVCYqZXwe2NeY47zqtbrr66lJtH5NxzvZLrxBOnnr9ihR82El7P1N6YNH9+a6sR4lafWKeFXnGlVzr0ir+kZhkbk7ZuLXa7gFaK//4PDlLpVbRq7Y1jY5WdewCtRugFIBehF3rZr37lh094ApVe9cqr9Or29sY8xx7rh1deWcrNzxp/+pP0rGflD6U/91x/LuKQKxafvu8+ads26YlPrMzrm0m9oVcRM71i3RJ6VZvr9clP+h4v21CUCbREHHo94QmEXkWrFnpJVHuhOIReAHIle+6LQuiFslx+ubRsmbR2rX/oLeJLWq9XesX3r8hwr93tjVmWLZMOP5zQq2jf+pZ06aWVWXtJIUg33igdf/z0y1au9MP77vM9sV53na+nFmWHXt0006uW0OvKK/154MsrukU8xP7YY/14vFdVtF469ErO9JKY64XiEHoByNXOSq85czrrwz563+WXS099qs9wGhoqZq9kvRp6mU39nS3yfnZCe6PkLY5XXkkFS5HOP98P77xz+mVbt/rr7JBDpl+WbG/8n//x47ffXtttlhl6detMr2rvlevX+2HcOg50unvu8WD3qKOkycniKr9RCb2S/zjbvl3qixIJwnIUhdALQK52hl5Ll3bWh330ts2bfabX8cdXqkSKmOs1POwf8HpxT2dz506t9Orvn/oFvlU6ob1R8tDrwQelP/6xtE3oaffdJ/361348K/TatMkPs0KvAw7w194NN0jr1vl5d9xR2+3OtPfGJNobp56ftnt35bkj9EK3uPtu6aCDpFWr/DQtjsXJa2+M/3FB6IWiEHoByEXohV4V77Xx+OP9w65UzH93R0Z6r8orlvyCXuT97IT2RslDL4kWx6L8+MdeRbdwYXboFbcgHXzw9Mv6+vxL03e+45UaT3xifZVeZe29Mau9sZMGOdfb3njzzZXjmzcXt11AK91zj7+vHHqonyb0KkYIlerW+PPC8LCHXvH7OqEXikLoBSBXem5PEfbu9QqRhQsJvdA+V1zhr+9jjim+0qvXhtjH0pVeRd3PEMK+Sq8y2xuPOsq//BN6FeP88/1L59q19YdekodeQ0PSkUdKL3mJL1/L36562xtHRjxYa4VuaG9csKBSqTpT6HXTTZXjVHqhW1Dp1R7x++acOZX33K1b/XxCLxSN0AtArnZUeg0N+YfquXM768M+etudd0qrV3tQQ6VXY9pZ6bVvpleJlV79/dKTn0zoVYShIemii6QTT/Tfy7z2xriiK0t8/qteJT3sYV5VkLWetHpDL6my44ZmdUN7Yxx0SdKiRZXzs6xfX5nNQ+iFbhBCpdJr8WLvOrjrrrK3qjfFOwgYGPC5oIOD0gMP+Hnx5zAG2aMohF4AcqVDr7PP9t3Jt/J75969Hnp12od99LatW32PfJJ/0F24kEqverWr0msyTO5rbyxzppfkodcNN3RWC1ovWLfOg6849Nq2bXqwcvfd0oEH5rcixqHXK1/poZdU21yvRkKvVrU4dlvo1dfn75fVKr2OPtoDYkIvdIMHH/T38zh0OfRQKr2Kkgy9JH+/u/9+Px4//lR6oSgFjJwF0CuSuxSWvCXs0kv9C2784b9ZydCrVf89B2aydat/gY4ddBCVXvVKhl6FVnp1SHuj5APTJyf9varWOVCY2fnne5hywgn+uyl5ldZjH1tZZtOm7CH2sTe8wS8//HAPsaXa5nqVHXqlZ3p1cugl+elqodfatf5eSuiFbhD/syturyP0Kk469Jo7txJ60d6IolHpBSBXutIr3n359u2tuw0qvVCGrVs9wIitXEmlV72Sv7OFzvTqkPZGqXIfCehb65JLvIp4cNArvaTprYl3350/z0uSnvY06UMf8uMrV/oXqloqverde6P+P3tnHl9HXe7/zzdp07RNmqRJl3RPV0rpAqUWRJCyKAgoIOKCXvGquF/xdblXhaslLvfqVRH04gL+QEFFBQS1rIJAi5SyFAp0o6Vb0iXpmqRt2mb5/v548nTmTGbmzH7mnPO8X6+85qxzJsmcme/3M5/P8yA60SsfanpxEXumqspe9DpwgITJWbOAujopZC/kB3zeZ6fR+PEiesWFnejF8UYRvYS4EdFLEARHnESvtrboPuPwYZpIpG2wLxQ2+/YBNTXGfXF6+Scpp1ea4o0iekXPjh3Axo3k8gKcRa9sTi8zJSXApEnenV5+ujcC7qKX1sCSJd6K3VvjjVVVdJ6Ns3mMH/w4vbhz40knkegVxumlNXDwYPD3C4JXrA0yJkygeLXsf9FjJ3qxOC6ilxA3InoJguBIUqKXOL2EJOnpoX3YzukVtZGokJ1eQ4YYA9Ri6N4IiOgVB8uW0fLMM2k5ahRNhsyi16FDmW3tvTB5cm5qej39NHWPXLo0+/qsotekSXQMSovTxEn0shsDcOdGdnqFEb0eeQQYOdKIPglCXLDTi2sCTphASylmHz1cC5MvMpSV0XgMAEaMoGOhFLIX4kJEL0EQHOETk4heQiHB8Vyz6DVmDO2LvI9HRSE7vSZMMISJYujeCBi/Y1qcOIXA0qXUFXDePLpfUpK5bwGGG8Or0wsAGhpyU9Nr40ZaenGOWmt6NTTQ0otYlwR+nF5vvEHn8okTaQIbRvR66y36G69aFXwdguCF7dtJYOVjAIteaRGeCwk7pxdTVUW1GMXpJcSFiF6CIDhSUkInJ57gieglFAJcKNsqegHR1/UqZNGroYEm9p2dCTi9+uKN4vQqPJYtA97+9kzH08SJ9qKXX6fXgQMUVXIjatGLt9uL6GOt6ZUm0Utr+5peTqLX6tXk8iopIafX3r3eIp528Fhj/fpg7xcEr+zYYZz/AUP0YueiEB1OoheXOBHRS4gTEb0EQXDFLEZJIXuhELATverraRl1Xa9CjjdOnkzLLVsSqOnVF2+Uml6Fxb59wOuvA2edlfn4xIm0XzHNzbT06/QCsgtIcYleXgq5W+ONY8aQ8ysNotfRoyTKeXV6segFkOjV25tdcHSC1y+ilxA327dnil7jxwMLFwI33yyO3qhxEr2qq2kpopcQJyJ6CYLgip3oJU4vIZ8Rp1c0sOi1aVP83RuPO72ke2NB8eyztLQTvVpajL9zUKcX4C4g9fZSTZlcOb2soldpKf3uaRC9WHiyE706OjJdXHv3Art2ZYpeQPCIozi9hKTYsSPzuKIU8J3vUE2v22/P3XaFZf369I2praIXH3dZ9DLXCRWEqBHRSxAEVwYNilf06uwU0UtIFnF6RQM7aTZtirmmlzbV9JJ4Y0GxbBkd+xcsyHycOzhyXZ3mZuq2OmSI93Wb908nrIWVsxGH6GX97IaG9IteQGZ3O3MRe0BELyE/6O4GWluN8z9z7rnUTfa7383PwuptbcCcOcDvfpfrLcnEi9MrH//eQn4gopcgCK6wGNXba1yBEaeXkM/YiV6VlTTgEqeXd0aOpO/u5s3xintpijdKIftoWbqUokTWfYdFLxaQtm/35/ICqDByTY27gMTnnKicXl1dRhQzSE0vID2iFwtPdjW9gMyII4teJ51EyxEjaBlW9GpqEueHEB9791LtulGjMh9XCvj2t8m9+LOf5WbbwrBvHx3bdu3K9ZZkIvFGIZeI6CUIgissRpmv6kYlenV10UmQRa+uLhqACEKcsOjFAy2ABrn19eL08oNSRoe8uLs3Sryx8Dh4EHj55f7RRgCYNImWLHo1N/ur58VMnuzu9Ipa9Nq+3Yj9BYk3AvSd2rMn85ybC7I5vayi17Bhxv8oKqcXAGzYEGwdgpCN1lZaskhr5swzgXe9C/jRjygCnU/w9ydtApLVWSuil5AkInoJguCKnegVVSF7tjGz6AUYJ0VBiIt9+2iCZp1sjhkTrdNL68J2egEkKsTt9JJ4Y2GydStNJmfP7v/c2LFU3yqM0wsg8czcBdJK1KIXf9bEid4L2dvFG4Hcu738iF5vvAGceCIJ4YAhenn5G9jR0WHUWZSIoxAVl1xCBeoZ3j9HjrR//ac+RW6pZcvi37Yo4fF62gSkbDW9RPQS4kREL0EQXGHRy3zlNSqnl53oJRFHIW727cuMNjL19dHGAbq7yfVRqE4vgESvjRvp94zV6dUXbxSnV+HAx3q778eAASRyrV1LF0J27Qrm9Kqqyjx3OW2DV9GrtJRem030OvVUcjll212d4o1A7kUv/rt5dXpxtBGgc/rgweGcXiefTCKaiF5CFOzdCyxZAjzzjPEYO72cRK/3vIf25T/9Kf7ti5K0Or2c4o1VVbQcMkRqegnxIaKXIAiulJWRW4VPoqWl0YtegweL6CUkx/799qLXqFHRil5c96mQnV4NDcb3ONaaXn3xxlzX9BLRKzqyCU6XXALcfz/wve+ReBTE6ZXNOeBX9ALofJVN9DrlFJrgmYUhO5zijUDuRS/e9mw1vVpbSdziIvbMiBHBRa/2dhIiJkwQ0UuIhhUraGkuYeAWbwTo+HHxxXQcYsEmH8gXp5fEG4Uk8Sx6qUZ1h2pUDQ7PTVSN6o7oNksQhLRgdXqNGSNOLyG/cXJ6jR5Nky23zmx+YGGkkEWvyZON23F2bzzu9MpxvFEK2UdHNsHpppuA884DvvlNuh/E6ZVtEuW3eyOQXfQaNcrY1myij53oVVdH250W0cvq9GJXBj9v7dzI1NWFc3pVVgIzZojoJUTD88/T0ix67d4NlJTYjweYK68kcWzp0ni3L0p4vJ7ruoBWvIpeUttXiAM/Tq+rATho4agD8PHQWyMIQuqwil7jxonoJeQ3bqIXALS0RPM5LIwUeryRia2mF0w1vXI8GubjlDi9wpNN9CorI4fF3Ll0P6jo1dXlXCsyDqfXpEneC7nb1fTiBhFpEL1KSuj8bIZFMB4HvPEGLaMSvbSmybpZ9JJJsBAWFr127TL2p9ZWcnmVuMyGL7yQjiN//GP/59Ja4D5fnF52Nb16e+WikhAPfuONTqed0QAiujYuCEKaGDTIXvSKYhAqopeQC5xEL25bHlXEsRjijdxlD4jv90xTvFEpEvdE9AqPF8Fp2DDgsceAn/ykv6jihaFDaek0+YtD9Jo40bvoZVfTC0iH6NXRQX9/Lk7PcNzR7PSqqaGaiGbq6oIVsj98mCa+w4aR6HXwYLQNRoTio7eX4o0DB9J3fv9+epxFLzeGDDGi1uaI48qVdHzZuDG+7Q5KWmt6ZeveyAJ72rZbKAxsTrUGqlFdBuAy00ONqlFZT+GDAZwJ4OWIt00QhBRgdXqNH09Xtw4dAioqwq1bRC8habTO7vSKSvRiYaSQnV5Dh5JY2NISb/fGtMQbAWfR68gRisJ873vUyU5wx6vgNGoU8KUvBfsMFr0OHjQmVkG2wYyT6NXbC2zbBlx6qbfuhb29dDxyEr2eeoqet4pOSdHe3r+eF0B1PYcOzRS9Zs3qv51BnV481qisBKZNo9vr1wer6SYIADXEaG8n19Yjj9A5fvhw+n46FbE3c+WVwB/+QF0cFy2ix5YvpwtbL78MTJ0a7/b7JV+cXnbxRoDmBrW1yW6bUPhkc3pNAAlaZ4JcXvNM9/lnNoDnAFwT32YKgpAr7OKNgP+I43//N/Dzn2c+xhMHEb2EpOjoING2pqb/c1GLXsXg9AKMwttxdm9MS7wRcBa93noL+NvfgOeeS36b8pEggpNfknR6tbTQd96r08s6ATTT0EAT1717vW9X1LS396/nxVRVkdilNcUb7Vx4I0bQOvye082i1wkn0G2p6yWEgaONl15KS67r1drqTfQ64wxarlplPLZhQ+YyTeS76JW27RYKA1enl16sbwFwCwCoRrUZwKV6sV7l9h5BEAoLs+illBFhaGvzd+X1t7+lAfLnPmc8Jk4vIWn27aOlndNrxAjax6Oq6VUMTi+A6no9/3xxxBsB+j3tao4cOEBLiT56I59FLxZmzHDnxokTSbAZONCb6GVXRN/cwZEFtKRxE70+9zngG98APvMZ2u9POqn/a3i79+7tH310wyx6jR1L44M0CgtC/vD883Sh66yz6D5f2PISbwToNTU1meIr75MSb/SOVfQaPpyco3ysENFLAAClcFbAt76sNRz3HlfRy4xerG07NwqCUNiUldEEr6OD4ox8RYYneF5pbwe2b6f38TpE9BKSxk30GjiQLPXi9PIHF7Mv9nijiF7+SIPoFbR7Y2tr/8fNopdSNFF2E734s52cXgCJXgsWeN+2KOnosI+EAsANNwBbtgC330737ZxeZrebH9GLY5OVlfR3rK01ajAJQhCefx447TRjP9y5k44/bW3enF5KUX25deuMx1jsSqMgmy9Orw9/GDj5ZCPKKKKX0MfTcK4jb4fqe/0CACudXuRZ9AIA1ahKALwNFHvsN7zVi/VdftYnCEL6MTu9KiuNduV+4408kH3xReD88+m2iF5C0riJXgBFHKWmlz+SiDey0yvN8UaemEvnKW/wsT5OUTjJeKNZ9AKy17RyizeOH0/L5mbv2xU17e3GdlhRCvjFL0g8eOwxYPbs/q/xUtfMDrPTi5d2zjpB8EJ7O0Vxr7ySnIuDB9N+y/ulF9ELoKjtY4/R7e5uYNMmup12p1cu6wJasYs3cndeQArZCxl8GcBaj68tBfBIthd5Fr1UozoRwIMApoAUNSsagIheglBgWEUvvvLrR/Tq7TVOwitW9Be9Bg8W0UtIBhYmkhC9isXpde65wNlnAzNnxrN+rU01vcTpVTCkwekVtehVXW1EAsOIXtXV9HiQQvBR4RZvBGj7HngAePNN+wim1w6WVniswJ8topcQhhdfJOHntNOMEh27dhluTS/xRoCcXr/+NX0vdu+m7++MGRR5zPZdSRp2emlNxyoWk3KN2zEPyCxkLxQ9L2iNF7y8UCmUwl6byiBbIXszPwOJZFcCOAFAg+Vnso91CYKQJ0Th9DJPOFasMG4fPkwnv4EDRfQSkiGb04s7EUZBsTi9Jk6kTnN2zQGioFf3Ho83pqGmVzbRS5xe3ig00WvtWiPqC5Do4+ZycqvppVTw7odR4WUiX1ZmX88LCC96sdNr2DDDKS4Iftmxg5bsSB49OrjTCyCRiyONF15Iy7S5vcwicZpcU9ni5BJvFPpoAPCq1xdrjZ6+97zu9jo/8cZTAFytF+s/+3iPIAh5zqBB4UUvHrAOHEiiF9utDx82rkCJ6CUkAYteTgINO72iiAQUi9MrbtIWbxw0yL6moTi9/JGE6FVRQcu4Ra8DB4Bly4B//3fjsWyilVtNL36/32hgVPT2klskjHuFj7F+63HZxRtZuBAEv/B3dfBgWtbXA2vWGE4vr6LXjBm0XL/e2Kff8x7g5ptJBDvllOi2OSzs9ALo2OfVzRY3Xp1eInoVN1pjaxzv8eP02gNApqOCUGSUldHgvL2dBp9DhlC3FT+F7Fn0Ov10GsRv2UL3RfQSkmbfPnLq8ADYyujRNEiOIk7D4oeIXuFIY7zRrXujOL28wcd6P0Xk/RKn08usvz76KE3o3vc+47G6Opoc80TPSrYJYLZC+HHCtYBYeArCoEH0twoqevH/TuKNQhisohc7vfzGG6dMobHvunXk7KqoAN7+dnoujU4vFp3TJCBlO+ZJTS8hTvyIXj8G8AXVqErj2hhBENIHTwb27TO6KVVVBXN6cS0vjjiK6CUkzb59ztFGgAbEQDR1vVj8KPR4Y9z06l5yeqU83siTe3F6eePYMRK84iyynG0SFbR7Y2+v8V4A+MtfyDHytrcZj9XVkXDkJPq4xRv5/blyevE5O2ydopoa/6JXezsJCiUlxjZIvFEIirl2LEBOrwMHgKYm+u5xeiEbZWUUX+Z447RpJMyOGZM+0evgQWMskyYBSZxegh+UwiSlMM/y2DlK4XWlsEsp3K4UPFes8xNvHAFgBoA1qlH9HcA+y/NaL9aLfaxPEIQ8gMWovXuNq77V1cFErzPOoAnjihXAhz4kopeQPNlEr1GjaNnSAkyfHu6zJN4YDRqaanqlJN4oheyj4ejReKONADkzysujd3oB5CDhmpePPAJccQV9HmOuaWXnJskWbxwxIneil7WYfFCCiF5cSoFhp1eautAJ+QM7vfjiU309LV97jYRqP/vUjBnk9DpyxIgzTp1q1PhKAz09NLYeNYrqDKZJQGLRq9TBPlNaSuMlKWQv9HE7gC0APg0ASmE4gPsBvAXgAQAfA9AG4DovK/Mjev2X6fY0m+c1ABG9BKHA4MlAZ6cxEPXr9OIBdG0tMH++4fQyd5UR0UtIgiSdXsVSyD5u0hhvlEL24Tl2LH7RCyD3QFyiV1UVsHQpnQ/f+97M17HQ5RRRzOZ6MMcjnV4TF3x+DxNvBIKLXmaxrbKSJvJHjjjH0gXBic5Od2vN4AAAIABJREFUOmazuMXn+NdeA8aN87euE04A/v532h+vvJIemzYNWLIkuu0NCx/r+Pc01/fKNd3d5OAsccmZuR2vhaJjHoDbTPcvB9AN4CytcVgpvALga4ha9NKLtZ8opCAIBYJ5MhBU9GKnV2UlsHAhcOutNNkQp5eQNPv20ZVZJ6KONyqV/IS10DheyB7pcHoNGiROryhIi+illLPzwA6z6AUAf/0rPXbeeZmvY6eXk1vLS00vremY5bXYdlQsX05L7lgXlJoaipH5wc7pBdA4QkQvwS+dnZn7DTu99uzxX3x+xgzjosa0PvvH1KnkDPfS7dQvN9xA55tvftP7e/giM7vW0yQgeRHwRfQSlML1ABSA4QDOUwrT+u5fDEoaXtsnYo8EMLbv9QCwVGs867ReEbIEQXDFSfQKUsh+2DDgnHNo0PA//yOil5A82ZxetbU0AWbR69Ch4PvkkSOZV5iFYPTq3uPxxrTU9JJC9uFJi+hVVubvO2oWvbSmel7nn2+cyxhzvNGObDW9sjnF4uQvfwFOOomKd4chingjCwlSzF4IgjlRABgXtgD/YrJZBDaLXgDw1lvBts+NP/8Z+PGPM+sHZoOdXWms6dXVlb1+4pAh6dpmISesAPA8gC4A6033xwN4tO/+CgArAfT2PbcCwHa3lfoSvVSjUqpRvVc1qh+qRnWnalQT+x5/p2pUY/z9PoIg5ANRO73e8x7g4x8HbrwRWL3aGIzwiVBELyFO9u93F71KSmggvGsXTWjPPhv4/OeDfdbRo1LPKwq0Njm9UhRvNJvOtBanl1/SJHr5wSx6bdwIbNsGXHRR/9fV1tLSSbTKVtMrm1MsLvbupcimuRNlUKqro6npxY8Lgl+sTq+RI414ndfOjcyMGcZtFr14GUddr5YWOq8sW+b9Pfw9SaPo5dXpJTW9ihut8aTWeBLAmwAWAngOQDmAegB3mJ7fDmC71vhH32Ob3dbrWfRSjaqm70MfBPApAP8CoO+Ujk+DMpWCIBQY5kl7GNGrvNy4ov6LX1CXK/MVuNJS+hHRq3jZsIGiQnFx5Ajtc26iF0CDxZYW4JVXgJdeArZuDf55Us8rPBqmml4piDfy/9R8rOrooI5+gDi9vJIG0aurK5zotWkT3T7xRPvXDR0avKZXrpxeDz1E+3IUoldNDZ3/e3q8v8ct3igIfrGKXqWlhsPLr9Orro726WHDjO8nuyGj7uB47JghGP/lL97fl2anl8QbBZ98B8D7ARwE8FcAf9Uaq0zPXw7AsyTsx+n1A5Ct7AwAdaBsJfMEgHN9rEsQhDzBzulVXU0D0F6PSSNrYdrycrJtjxsHTJyY+VkiehUvP/gB8P73x3dFnweQ2VqUjx5NTq+776b7QQdg4vSKhjTGG4FMR5c57i1OL2+kQfQ6dix73MaKWfRiQdx8HjNTVxeukD2QvNPrL38BxoyhpjNhqamhpd9yCBJvFKLCKnoBhiDkV/RSCpg1i2KOHImuqKA6YVGLXvy9Lymhi4Fer/ew6FVbS+9Nk4AkopfgB63xJ5DT66sgs9UVlpdsB/ATr+vzI3q9D8ANerFeDvTLF2wDCWKCIBQY5klJRQUtq6roBOy1K4x1EAsAY8fSIKGxMfOzRPQqXrZupUGRHyu/H9gpkE30GjUKaG4G7rmH7gcdgB05IqJXFKQx3gjYi15OnR2F/qRF9Arj9NqyhSZxYxwKfNTWUlzQjmw1vbLVBIuDI0eAxx6jTpRuHda8wqKXn4ijXfdGflwQ/GInenExe7/xRgC4/XbgjjsyHxs1KvrvaUsLLS+8kI4zr7/u7X38PamsTJ+A5EX0kppeghmt8bLW+KHW+J3W6LE8999a4xWv6/JzSquAc4GwcmQ6vwRBKBCcanoB3q/eOnW1GTQos4CwiF7FDXf5euKJeNbPkVwvTq+WFvoZPjyc00vijeFJW7yRhUxzjJGPhaNHS7zRK0mKXk4XaMKKXlu3AuPHO3d/rKhw/uxsNb3Kyui8maTT68kn6XgXRbQR8O/06uqi74/U9BKiIkqnF0Aur1mzMh+rrIx+/2TR65OfpKXX0g98vKmoyE/RK23bLBQOfkSv9QDe5fDcOwF41KAFQcgn3EQvr3W9vLZyFtGreNHaEL2efDKez/AjegEkeF18cfCiqhJvjAZzvDHtTq/6enF6eaVQnF5O0UbAXfTKFm8EyImSpNPrb3+j8/yiRdGsr7qall6dXmaXCsNjB6npJQTBzekVRPSyIw7Rq7WVlnPnAgsXeq/rZXV6eU1kJEF3d/Y4uRSyF5TCbUphko/Xq773uKYO/YhetwK4VjWqGwBM6HusWjWqTwD4Yt/zgiAUGCJ6CUlw4AANzkaPBl57zRjwRQlPmrLtiyx6fehD5FQIE28Up1d4zPHGtNb04kn9qFHi9PJKIYheW7e6i15un+1F9KqrS9bptXo1cPLJ0Yn1fuONdqLX0KGZz+UzDzxATiEZ5ySHnei1cCHQ0GCIX2GpqIjP6TVyJMWNX3qJao1mg0WuoUNpu9LkmurqEqeX4IlPAvATPi7x8h7PopderG8HcBOARgBcru/vAG4DcLNerH/nY+MEQcgTnArZA95FL2uNDrfPksFgccIur3/5F1r+4x/Rf4ZXp9ecObS/fvrTxgAsSKpOnF7RoKENp1cK4o1uTq/Ro8Xp5ZUkRa9jxwyRyUyY7o1tbcCOHcCkSe6f7dY5EnB3PowYkazo1dxMcc2oiEL0KimJR1TIBa+9BqxfT39nIRnsRK/3vpc6r0Z1UaqyMnpHVUsL1beqqCAhGgA2b87+vo4O+n0HDEifgOQ13nj4cLAxl1AwKAA/VQqPe/kB8KiXlfoqU6kX668BmALgswD+C8DnAczQi/UNPn8ZQRDyBJ4QlJYaA4QgNb2sheydPktEr+KERa/3vY9E1TjqenktZD9zJu3b8+bRoLOnJ9h+KU6vaNC6r6YXSlIfbxw5kvYXO4FFyCRJ0Quwn/yF6d64YQNNzLLFG8M4vZKMN/b2Atu3U1flqIhC9ALoIkQhxBs5tsVdP4X4sRO9oiaueOOoUXR7+HBaOjXFMHPwoNF0Kh9FryFDaNnZGf/2CKnlOQBdAAZ7/Cnve4/rtzDLrtcfvVhvBXC73/cJgpCfsFOlstIoOi/xRiFqtm2j5aRJVE/miSdoQqkibJHC+6sXAZY/1zxh9uvaEqdXNPTqXgo3qnTEG50K2XMNFX4u2+C+2MmF6GUVvINsw8CB5D5at47uZ4s3hqnpxfHGqI+FdrS2kvssSqfX4MH09/VzgQzoP16IQ1TIBSx68flOiJ+kRK+DB6P9nra0GDXHamtpuW9f9vd1dBhjnKFDvUUik8KP6HX4sHFbKC60xjviWK/vIZlqVOMBjAepahnoxTqGQIogCLmEJwR23ZS82LmPHqUfEb0EN5qaaDA0ahRw3nlU+2TTJmDKlOg+o62NBoF+xAieMB8+bFxt9Yo4vaLheLwR6Y43VldnPsf7jmBPUqIXux7Y8WAWm44d8z+xUoom0WvX0v1soldXF/2wo2zdOvpM3o5s8cajR2nb+feIC3bbRun0UorcXmGdXiJ6CUHQmo7FcYteFRX0WVF+T1tajOg0i17F5PSSYvZC1Hge+qtGNRnA7wC8jR/qW+q+2xqAQ9NmQRDyFTvRy87p4AQPVEX0EtxoaqLJVmkpcM459NjTT0crenl1HJpxi0ZlQ5xe0XA83qjSG2/cv58m936OjcXOsWPJfD+s3+GrrqLlH/8YXHgbPJhih0q5O6PMghvXwrzoIqrpdNJJdD+b0wsgt5efyfShQ/5FV64zFaXTC6DfO4l448svUz1Gv3HVJBHRK1n4GJ2E0wvIFJzC0tpKBfcBcqiWlHgTvaxOLxG9BIHwU9PrV6CujdcCuADAor6fc0xLQRAKDDvRa8AAEie8FGwW0UvwwrZtxmRr+nQaOK5aFe1ntLVlr+dlJYzoJU6vaEhbvNGr00twJ1c1vV57DVi5Mtw28CR6zBj39/Nnm13RLS3k3OBtcHv/iL5eVH7qej34ILlSH3vM+3uAeJxeQDJOrx07gAULgPvuC7aNSSGiV7JwXaikRK+o3Ii9vSR0c7yxpIS+R0GcXlEX2A9Dd3d2UVpELyEu/MQbFwC4Wi/W98e1MYIgpA870QugyZ2XiR1fnZVC9oIbTU3A6afT7ZISYPbs6EWv9nb/ohcPwMTplTvyJd44caI4vfyQK9Fr1y7632kdrHsjYEyi3aKNdp/d20u3r7sOuOQSijq6XRAyO728sm4d/W3f/37gmWeA+fPJxbVnDzXncKK5mf4WI/w0ivdATQ25VrwQVPRqaaH/586dwbYxKUT0SpZ8Fb327qWGKFzIHiCh3GtNrwkT6HZFhdEJMe6agF7o6so+JhLRS4gLP06vZgAyHRWEIiMq0UucXoITvb004eKBGgDMnUuOjCg1jra2ZOONR46I6BUFHG9USqUi3uhUyN6r02vzZhI80nQFPhfkQvTq7KT/1ZEjNLEM0r0RMCbRXHPHCWs9Mf6fDxtGYhRHLZ0I4vRqaaHtq62lKOUll5A4t3Che0c0jphHPTn26/QqK+u/X2SLN3KhfK/NdXKFWfRKgX5f8CQlevH3PCrRq6WFllbRK4jTS2vj75Dr/c5LvNFcR1UQosSP6PXfAL6qGpWUZhWEIoInBCJ6CXHR0tK/a9icOTSR4chNFISJN/odgPX20gBP4o3h0dBQUFTTKwUzRbd4IwtibsfGxx8HliwBNmyIbxvTjta5Eb14MgnQsSVsvNGr04vFLj/OZ8AQvfw4vVpaKHb56KN0XH3pJWoOcuwYsGWL8/uam6Ov5wWQ6OW1e2NHh/1YIZvTi8Uur5+TK1j8PHzYm2tHCEe+Or3YGcnxRoAiy0FqegG0323YADQ0AE8+Gc02BkFqegm5xHO8US/Wd6tGdQKALapRPQ/Aet1G68X645FunSAIOUcpEr5E9BLigoUt84Rr7lxavvZapgMsDEHijUGdXuwCEqdXOFjk4nhjGmt69fTQpNvs9HKLN3K0qZgjkD09JHwlLXqZ429Jil58/HCK7zlRWUnnX79Or5EjgZkzga1b6Rj00ksktm7eTI/b0dQEvCOGRvHV1SRG9fZSdN2N9nb7v01lJf2vnCLj+eT04rHTtm1GVz4hHpIWvaJy7zo5vV5/3f19Wvd3egF0/HnjDfoO5jJaK6KX4AelUAXgX0F143mG0ATgSQB3ag1fR3zPTi/VqK4G8HUA1QBOAXCmzY8gCAXIhz4EnH9+5mMieglRwaKXWdyaPZuWUdb1SjLeyN8NcXqFg+OMXMg+DfHGAQNo8s7/Yz7G1dR4izdu3UrLYha9+DiftOi1a5fxeBjRiydmfuONfkUvpcjt5cfp1dpqTJYrKkg0a2ig+5s22b+ntxfYvj0+p1dvrzcXjNmlYoaP207rYLErH0Sv6dPpttT1ip98dXoFjTceO0bCkp3Ti7/72bqgxokf0StNXSeF5FEK7wSwHsCPACwE0AWgu+/2TQDeVAqL/KzTTyH7RgAPAPikXqxTbiAWBCFK7rqr/2NeRS8/g3wRvYoTHvybJ1yVlcDkyeT0ioKeHhpEJVXIXpxe0cBOrxJVkpp4o1KZxz92mZjjjW6Clohexu9eLE4vdoD46WbM1NX5jzeecUbmY6NG0TZv3uz8nu7u6Ds3AiR6AVTXK9vx10n0MosKXNzfDH8Ho4o3NjWRO+6yy6JZH3P4MLnpXntNRK8kyFfRq7WVxKHqauOx2lo6hrk1yOHPt3N6vfUW3c6lMCzdGwUvKIVpAJYAWA3gMq2x3PL82wH8GMBflcJ8rfGml/X6Eb1qAfwsjOCllPo6gMsBzABwFMDzAL6utX4j6DoFQcgN5eXeJm3t7TRJHOqhGqCIXoXFjh3AihU0uN+5kwZbhw4Bn/40cKbJG9zURAMdnhwxc+ZE5/Ty4zg0E9TpxZNU6+8k+IPjjGmKNwI06eDjn1n08uP08nLRoFBJ0uk1YAB9zqFDVOOqpITEnShEr2zRa+vxw29NL4CcXl7jjd3d9FqzQwSgc/CkSc6iV3MzLeNyegEkemVzxnV02Ef+sokKUccbf/hD4Cc/AZYtizbyefiw0eVVRK/4SUr04u95lE6vkSMz48DDh9Ny716q2WcHi+v8fWHx6+DBdDi9urok3ih44r8AbADwTq3Rb6apNZ7rc4ItB3A9gKu9rNSP6PUsgJmgHGVQzgbwMwAvAlAAvgXgCaXUiVprKekoCHmEn3hjZWX2Wh6AiF6FxsUXA6+8QrfLykgUOHoUeOQRYPVqo0jrtm00ebR2DZs7F/jrX2nwwwOhoPBkyK/TiyfMfgdgLGxkm+QJ7qQx3ggEd3p1dVGMzO01xUCSohdAk9JDh2jCOGIECQ9bt1LsLkj3xtGj6bud7bgUNt7In/Xoo0azBDf27KG6PuYC2ExDg7PoxRHzuJ1ebmhN5wK7mmPZRK+o441v9F2Kv/Za4IUXvI1fstHTQ9/5oUPpfCeiV/wkJXoNGECfEWVNL6twzWLwvn3Oopeb04tFr1w7vbKJXoMG0VhQRK+i5lwAX7cTvBitcUQp/BjUaNETfg7jXwbwadWorlKNqlY1qhLrT7YVaK3frbW+U2v9htb6dQAfAzACwBlZ3ioIQsrwI3p5ddeI6FU4dHVR0dXPfIZcT0eO0EDuuedon/jCF4zXNjXZOwzmzqVJ6erV4beHr276Fb0AY8LsBxa9ssWfBHfSGG8EnEWvbE6v7dtpnwZE9AKSF7127QLq6+l4w5PAINvwzW8Czz6b/XU82bbGG/2IXl/+Mk1UP/c5Eobc4K5v1gkzQHHxTZvs15GE0ytb9HD9ejpHnGlTIZjHEE4ulaidXqtXk7Dw8svAb34TzTpZgBkyhM4LInrFT1KiF5C9w6gf2OllhkUvt7pefJyxil7t7Ubn1rSLXkrRd0REr6JmBACHSzQZbAZgE3i3x4/otRbAbAB3AWgFFRQz/wSZqlb2bUOW6z+CIKSNuESvnh76EfKbjRtpgHPGGVSDhV1cJ54INDYC990H/PGPdPV/2zb7ydacObQMGnH8xS+Mbkc80PMbbwSCi15lZfaTT8E7x51effHGNDq92MHipZC9eaIrolfyotfOneScGj/eqO8VZBsqKoCxY7O/rqSEJnBhnF4LFgA33gj84Q/A737n/lq7AthMQwOdj+0cV83N5LCwq5cVFnanZXN6Pf00Lc8+u/9zXp1eBw5kFwazsXcv/R2/8hXgtNOA66+PRszgSfyQIeL0Sop8Fb3MzSgYc7zRyv79NG62Hl9Y9Fq/ni5EAukvZA/QdovoVdTsBuDlkvFEAFnaOxj4iTd+C4h8tHkLgFeBzAJljFLqGgDXAEBZUiMjQRA84aeQvdcBPn/Nu7qA0tLg2ybknjVraHniif2fu+464P77qSsoM3ly/9c1NNDkMkgx+95ecpN99rPArbeGc3qZJ61e2bqVJjZRxGKKmeM1vfrijWmp6eXk9OLjlpOgxQ5At9cUA7kQvQ4eJKfXnDmZInvc21BRkVnTa8AA/11dv/Y1ijh+/vMkCjnFELOJXgBFHHkCzTQ10TqtEfMo8BpvfPppEhKnTOn/nNeaXj09NFn2UkPUCXYWn3QS1fM6/XTgt78lp10YrKLXzp3Ba8oJ3khS9KqoiEb00tqf06u7mzqCXnklcO65xrYAxveAL/4NGpR+pxcgTi8BTwH4ilL4k9bosnuBUigDcC2Af3hdqWfRSy/WN3p9rReUUjcBeAeAd2itbX0dWuvbANwGAEOHDk3H5V1BEADE5/QCaCDod1IgpIu1a2l5wgn9nxswAHjgAYqNDB1KNXYuuaT/60pKgNmzgzm92ttJ+OJaNblwekm0MTwcZzzu9EpJvNFayF4pmphzdNHp2CiiF5Er0aulxXB6MXFvA382YFwE8isulZYCP/0pcPLJJA599KP2r/Mqes2fn/lcc3M89bwA+n1LS/uLXrffTt+d//gPmug//TRw3nn2f5ts8UbzRL6tLRrRa9Ys+puUlRnRsDDwOYRFL63p7253wUeIhnx0erW307nBraaXmXXrqJbfz39u1Ce0Or1Y9JozJ3mn19q19P2fPl1EL8Ez3wXwMoC/K4V/0xoZl76VwlwAPwHVmnc4G/YnJ9eglVI/BvBhAOdorTflYhsEQQhH3KKXkN+sWUOij9PkY9w44IYbqFDwVVc57yMTJpA7wy88MLSKXknV9NqyRUSvKOA44/GaXimNN1ZVkUg7YAAt3ZxevK+L6JWs6LVtG026uKYXk4ToZY43+ok2mmFxhGOZdrS00O9jdzxl0WuTzajbqa5iFChFLkir6HXnncDXv04iHNfzsos2AoZzxc3p5bV2WDZWr6a/Hzvfxowxmk+Ewer0AiTiGDednSQEJZEcqKyMppC9U12+IUPoYovV6bVyJS3Ly0kYB4zvy6BB9Lu/9Radm2bNSt7pdc015LgH6PjrpXFIEHe9kBxKqQuUUuuVUhuVUl+zef4spdRKpVS3UuoKy3PfV0q90ffzQbv1a411AC4HldV6RSlsVQrP9P1sBbASwBwAV/S91hOueqtqVN8E8Cu9WO/ou+2G1ov1t7N9oFLqFgAfAnC21trzhgqCkC5E9BLcWLPGPtroF7Ojxg8senGB5rCF7LNFc8xw0X4RvcKT5ngjTz527CD3kPk5N6fX9OnASy+J6AUkL3oB/Z1eQbo3+sEcbwwjelVW0u/hJnpxLSA7t1RVFcUarR0ce3tJ1InL6QWQIGU9hra2Uhzxf//XqN/oJHpxdzw70UtrmsifdBJ9RthJ/erVdO7iv+GYMfQdD4tZ9OL9T0SveOnsTMblBdD3005Q9gu7Na3xRqXo+2sneg0ZAtx0kyEu8TFGKTpmtLdTt9mamuRFr507jTq9XV3i9Mp3lFKlAG4FcD6AZgAvKqX+qrVeY3rZNgBXA7jO8t6LAJwCYB6AQQCeUUo9orXu5z/UGo8phRkAPgPgHADjASgAb4FSgLdrjVY/255t17sRwKMAdvTddkMDcBW9lFK3gjo2Xgpgv1KKh4kHtdYRNXoVBCEJBg0S0Uuwp6eHrtyfd174dQUVvXiCtWcPDXzb2uiKZ5AB8NChhnjmBZ7ITJrk/7OETNIabzQLWzt2ZBY1d9tnt26lCf6rr4roBSQnelVUGNHT+nqKCvH/MMl4o5/zoRWlaNuzOb3cmmc0NBiiV28v8M9/AvfeSw6MuJxeADm9rA6s3bvJFXnHHVQw3qmeFzNsmH006/Bh2v6JE+l7FYXo9d73GvfHjg3eTMUMT+KHDqW/tVJ0nhTi4/Dh5ESvqGp67d5NS6voBdBxyxpvXLkSmDcP+NSngNtuoxqo5vIgLHpNnkzC96FDNEZLqm7unj30f+AmVV5FL7culUJOeRuAjZzUU0r9AcD7ABwXvbTWW/qes16lPBHAM1rrbgDdSqlVAC4A8Ce7D9Iae0BRx+9GseGu8Ua9WJfoxfoF0223Hy9fn8+DOjY+CWCn6ec6tzcJgpA+ysvpBNbd7fwarYMVshfRK7/ZsoUmkzNnhl9XWKcXQIJVezsN+IIUavZrtee6TeL0Ck8+xBu3b88UvZycXlqTIDpxYvD9ulDIhdOLGT2ajgMs8uRLvBEg0cvNdeRH9PrKV4CzzgJ++Uvgoovs6ypGhdXpdfQoHZOvvprGEUuXAosWuR+fnWomscjFx9sw8cbdu+ln1izjsTicXuXl1Nl4yZLw6xWcSdrpFaXoNWJE/+dqazPFoN5e4JVXgFNOIRHrT38C7r4783vEx74pUwyne1J1vbq66PvZ1WV8h8TplfeMBdBkut/c95gXVgG4UCk1RClVB2ARyMGVgVKwqQZsj1L4pNfXeq7ppRrVBNWobE3gqlENUI1qQrZ1aK2Vw8+NXrdDEIR0wFeS3Nxehw7RRE+cXsWFW+dGv0QhejU10cArSLQR8F/TS0Sv6LDGG9Pi9OL9sreXnDdeRK/du+lxFr28OGULlVyLXoAR50uye2NY0WvMmOxOLzuHCDN5Ml2UWL+eutp+/OO0Xy5ZEq/Tyyp68cR+4ULgIx+h207RRsZJVGCRi4+3YZxe5iL2zNix5NQLKxSYRS8AuPxycuW89Va49QrOJC16HTxIY94w+BG9Nm6kzzzlFLo/ZUpmV2zAOPZNnpy9IUTUmLeVm0GI6JV6BiilXjL9XGN53u7ShKe9Xmv9OICHATwH4B4AywHYWSdeVQrXKwVHQ5VSmKIU/oG+hode8FPIfjOAkx2em9v3vCAIRYIX0YtPrCJ6FRcseqXJ6dXWFjxWFET0KinJFEKEYPSLN6bM6dXaSm5XL/FGsxhaXi5OLyB50auiwijynKTTy9q9MShu8UatjZpeTjQ00N/+05+mffD73w9+XPTDyJFGgW4gc2J/443AhRdmd5o5xRutTq+oRa8xY2gZ1u1lFb0uu4yWDzwQbr2CM0mLXlqHF2t276Z1DRrU/zlrTS8uYs+ilx1m0Ysv/CVV12vPHuM2O0y9iF5Dh4rolUO6tdanmn6solIzMt1Z40BlsDyhtf6u1nqe1vp8kIC2weZlvwDwLQAvKZWpPSmFEqXwnwBeAzANVDLLE35EL7dQyEAA6aguKwhCIrDo5TZxE9GrOFm7liZn1dXh1zVokFELwg/79hn7U1OTEW8MAg/AvF7B3bqVRJC4C2QXAyxysdMLQCrcXix6cVc3L04vs+gl8UZaJi16mRsO5CLe2N4eXvQ6eNDe8bR/Pwmw2UQvAFi2jDrnur02SurryZHV2Un3zaLX5MnAww+7O9SA7E6vMWMo4hVW9KqqMoQuwPhuRy16TZoEnHwy8Oc/h1uv4EzSohcQPuK4e7e9ywswanrxKXDlSjp+ubnqWeSfMiV5pxd/zwF/opc4vVLNiwCmKaUalFJloOaEf/XyRqVUqVKqtu9xR03tAAAgAElEQVT2HFAHxsetr9Ma1wI4E1TsfoVS+B+lMKhPAHsRwP8A+A2AE7XG37xueLbujdUAhpseGqsa1WTLywYD+DiAAE3lBUHIV8TpJTgRVedGwLjaefSoMVnwwv79NKE7fNiINwbtTsYT5s5Ob9uwdatEG6OCBS6u6QWQEKZcr8PFj5volc3pNWGCiF58jLdzM8QBf4fr643HWPRKqnsj17gM46xiMWbnzv7iGXd98yJ61dQA1yVYTde83ZMnu0e4nMgmelVXk2AVpqbX6tXk8jLXROJt5+96UKyiF0ARx298g/4u5n1TiIbOTkP0iRv+nI6OTHHdL62t7qJXVxcJ35WVJHrNmeN+DONjX0ODcc7JpdPLy/GWRS+tg9VhFeJDa92tlPoigMcAlAK4Q2u9Win1LQAvaa3/qpRaAOABADUALlFKNWqtZ4FMUsv6LmC2A/hoX1F7m8/BcqUwD8BiAP8B4CoAo0HdG9+pNZ71u+3ZnF5fBrARZD3TAO7ru23+eQ3UTtJzplIQhPzHi+jFETOvjh8RvfIfrcnpFYfo5Yd9+2hiN358ZiH7IPAkxWvEUUSv6Dhe06sv3mh+LJeUl9Nxirt6enV6VVbS8VBEL1rm0uk1fz79H4KK4X4+W2s6JvX2hnd6AfYRRxa93BxTkybRvvrtb0fjxPUKbze7pTjqmM3dZWbYMPdC9ix6hXV6maONQHTxxkOHyOVinvRffjktH3ww3LoFe/LB6fXQQ5nni2xOL4AijlqT6OUWbQToezNiBC1zFW+srPTv9OrpIYFPSB9a64e11tO11lO01t/te+ybWuu/9t1+UWs9Tms9VGtd2yd4QWt9RGt9Yt/PaVrrV90/B8cAPApqejgOpFt9N4jgBWQXvR4E8AkAnwTFG78L4F8tP1cBmKcX628H2QBBEPITL6IXn+QmTfK2ThG98gutgfvuy5y8NzfTVcgo6nkB4USv4cNJ9IqikD3gTfTq7qa/gdd9XnAnrfFG3i83baJIldld41Sknjs3KiWiV65EL7Ob5tRTyU2QhOgFALv68hBRiF52AgwLSW5Or7IyOh5+4QvBtyEIZqcXQBP7AQP8CW+VlfaxLHZ2VVWFE7327ycxYcaMzMcrKkgwiMLpZXUKz5wJTJ8udb3iIheiF9fv88KWLcDFFwO//73xmJvoNbwve7V3L11E2b8/u+j19a8Df/wj3U463sii19y5/kUvwF8tVaGwUApDlcJPATwFoBXABaAi+L9RCg8oBd/eWNddTy/Wq0DtJaEalQawRC/We93eIwhCceBF9Nq0iSZ3Xm37InrlF88+C3zgA8Cvf01dwACjEHAanF4zZpCz49lnw8WKnESve+6hiNDmzca+u307XaEUp1c0OMUbcw0f/956i/ax0tLM5+z21+3bDYFFRC9a5tLpBVDDibjh2BMLPmG7N5rXZcZLvBHITVzIKtbt3g3U1fnblqoqEjEOHMgUy9rayD01eDA9HjTeyJPyydYiLiB3XBQ1vayil1JUxP+Xv5QoVxyk3enFMV/ubKi1N6fXvn3Ge7KJXjNmGEJuLpxeVVUUrXzuOXrMj+h1+DA59oXiQimcD0oQjgJwA4Afao0eAI8rhQ8DuBnAGqXwH1rjV17X6/l0rxfr34jgJQgC41X0amjwPrEQ0Su/eOYZWr7yivHYq31m5TlzovmMoKLX/v10VXTcOKPAc1inl7Ww6pNP0kTIXKzVXKxcCE+a440AHeOsXTqd4o179hhxLhG9aJlUswc7p1dS8GezUBWmpldVFe1fTqJXSYkxMU4TtbX0v+btbm31F20EgIsuouUtt2Q+fuAA/V2UCuf02rSJlnai15gx8Ti9ABojHTmS2XFYiIYkRS9zTS+vsEDLMfn2dor0eYk33nILvc7PWGvwYLpAk6TTq66OHPe9fadtv6KXUJQ8BmAbgLla4/t9ghcAQGvcA+BEkOvrNqXwD68r9bDrGahG9XEAHwYwAUC55WmtF+spftYnCEL+4lX0shtAOsETIBG98oOlS2m5apXx2KuvUrQvqqtzUdT0YqKON7Krbc8eQ/gQ0Sta0hpvNDu93vWuzOecBK09e4xJy6BBxT3JPXaMJl9mh1ycTJ1KLq/585P5PDNRxhuVIuHOznXU0kKT4CTca35RioQjs9PLTxF7gDodXnYZcNNNwL/9m3GOaWsznF9RiF5c7N/M2LHA00/3f/yaa+jzOD7mxuHDxr5ght2fzc3pFCzzmbQ7vVj0amqiZbYGDxxv/MUvqAPrbbf5awYSVhj2i1n0YkT0EjzwBa3xc6cntcZeAFcphd8Bzq+z4vnUqBrVNwDcCWAMgFcBPGP5Wep1XYIg5D/ZRC+tDaeXV8TplT90dRl29VWrjBbar74KzJsX3ecEEb06O2m/5JpeTJTxRq2pSyWQ2aHI3KFPCI853shOrzTFGw8dMiJn5uesx8UjR6jWS10d3RenV3LRRoCEop07gdmzk/tMhh0gUYheAO1vdk6v1tbs0cZcwv8DIJjoBQA33kgulZtuMh5jpxdA4lcY0auuzv48wYJdr8VkunQpFRP3gpPTyyx6CdGhdfprevG+yv97r6LXM8/QOOtf/9X/duZa9PLi7nVy1wvFgZvgZXndwwBmZX1hH36cXp8EcIterL/i4z2CIBQo2USv/ftpcOrH6SWiV/7wyis04V+0CHjqKbpSWVsLvPkm8OEPR/c5QUQvdtBYRa8ouzdyR0ggU/Tavp0GeUkNtAud404vpYyaXilwepmvrlvjjXaC1t6+4hAsejlFIIuFpEWvXGKNN4YVverrgTfe6P94S0u6Ra8xY4B16+h2UNFrzhyqI3nzzcC119I5x+r0am8nccqv4+2tt5zHK2PGUETeHFHu7iahzE7IsiOb6BU2Pilk0tVF+0E+xBubmox6XoDzd6OsjI4fHR0UbwzilB02LNl44+zZmc1CxOklZEMpDAPQobNc4VQKQwBMB+Dp0oOfU0ItgL/5eL0gCAVMNtHLrT6GEyJ65Q8cbfzSl2i5ahXw+us0cMu104tFr5qaTEEiSqcXRxsBQ9AA0u+2yDeO1/QyxRvTVNML8FbTi4VRcXoRR4+K6BUUu3hjTw8JSn6c1UnDTq+jR0mo8lvTi1m8mNw0d9xB982F7auq6BzkR3hg3Mox8HfcLExt20bCSlubtzGLk+g1ahQJdOL0ipbOTlomJXoNGEDH/iCi16FDtB9lE70AKkr/0Y8CZ50VbDtz7fQS0UvwwH4AC/iOUihRCq8pBWtf+NkAXvS6Uj+i1zMA5vp4vSAIBQyLESJ6FSdLl1Kr9fPOo/urVhlF7HMteu3fT8vhw+n9PLmKspC92Wlhdnq1tASfzAn9YVeXuZB9muKNgLPoZTakFavo9cYb5MqxUkxOL2u8MUwhe4BcR+3tmcejl1+mieyiReHWHSdjxtCxmcWdIE4vAJg1i2q0Pf883W9rM47tQbvTdXdTNN3N6QVkio0bNhi3zc1MnHASvQYMIEFQRK9oSVr0AgwXllfMnUabmryJXv/8J3XMDgq7IePm8GH6qaujC5C874voJXjA2sdWATgJQKhvs59447UA/qwa1V5Qxfx+JVj14hRcfhUEIRGyOb24/bfU9Co8enupiOoVV9Agb8oUErxqa2lwE2U9q7DxRoCuMra2RlvIfvVqKox95Eim6NXamr2FuOAdFrhKVEmq4o1uotegQSR4dXcb9UuKVfT6zneoyPcXvpBZy6WYRC+r08uumLkfuAPlzp107AWokywAnHNOuHXHCW/3a6/RMqjoBVBDAha9zE4vXh444O881NREbjk/Ti+r6GU9DlhxEr0Ain+J6BUt+SZ6NTfTfjR4sPsxIuxxc9iwZJxe5ki/UjQOW79eRC8hd/hxer0JUtnuBNACoMvyI9NUQSgieNLnNHHjorB+ohwDB5LN308hUCF53niDBmtsr583z3B6zZtHA5yoiEr0AoI7LHjQbBW9Zs2ifdwqekm8MTryNd4IZF4QKEbRq6sLePRRum2dZBWj6NXWRq6vsN0VzaIX849/UO2cNLtM2S3F3X7Dil5bt5J77tCh8E4vdqZPcehBP3o0ndecnF6trdk/49AhEb2SJFeil5/x64EDxjmBnV5hvhdeSMrpxec8/n24rpcf0cvaMVsQwuDH6fUtIAWZAkEQUsHAgTQIdIs3+ok2AjQZmDAB2LIl9OYJMcL1vFj0mjsXuP9+msh//vPRflbYml5AeNGrpIQGzjwA6+2lzo2f/CQ9xoO7I0fC1aoR+pPWeCPvl5WV/YV98z7Lz/E+wkIsi15aRysSp4l//tMQH/bvNyZ3QHGJXmVlNNHr7g5fzwvoH7U7cgR49lngs58Nv+44YbGORa8wx8lTT6XlU0/R0lzTCwguejmNWQYOpO21Or0qKkjkCBNvBEgQePxxf9ssuMOil9dGA1Hg1+nV1gbMnEnHSnZ6xT1+YKdX3Oce64UeHoeJ00vIFZ5FL71Y3xjjdgiCkGco5d6BbPNmYMEC++fcmDqVuigJ6WXFCpp4TZxI9+f2VXs8ejTael5A8JpepaXGBPPjH6eBpJfBlhNDhxqi17ZtdHvWLNpXefLJEx8RvaIj7fFGu0iTk9OrpsbYB3m/7uoqXPFnyRLjtjnGAxSX6KUUHT/a2sLX8wL6O72WL6d97dxzw687TlisiyLeyBFyjnWy2MXiVxDRa+BA94jimDH9nV6nnQY88UR20Uvr7KJXRwc5cKLYR4TcOL0qKjKd39k4cACYNo2+0+z0inv8UFVF550jR+L92ziJXuaYuxO8XSJ6FTWnKoW+ipgoARmvFiiFatNrTvSzwkBTANWoKkDdHHfoxboryDoEQch/nEQvLgr7wQ/6X+eUKcC994bfNiE+Nm+mgRoz19TiJA2i17595Kjhq5jz59NPGMyiF3dunDULeO456loJGBEXiTdGx3GnlynemAanl5voZbfPchcru9cUqvizZAkJffv3G80lmGISvQBD9IrC6TV8OP3tWPR68kkS+YN2c0uK2lqa8G7aRNtbXZ39PU5UVdEFMha9rE4vq8iajU2bgEmTaLucGDvWiCB2ddF58AMfAJ5+Onu8kcdJTrWazDXDRPSKhlzFG7merRe4Ht348bRvtbbSuCJO+DvS3p4b0cvLxceSEjrHiuhV1PwU/Qva/9x0W/c973lA6KuygGpUF6tGtRJAG4BNoFaRUI3qV6pRfcTPugRByH+cRK/mZhK+grRPnzqVRAu/g1YhObZupQkCM2ECDdzKysiqHyVhRK8oGTrUGIBx50ZrTa+WFlqK0ys6jtf0MsUb01TTy4/Ty0n0KkQ2bKCixXzho5idXoDRwTEK0Uspcoaw6+jJJ4G3vS39YglvN0DfhbC1zebPN0ohRFHTK1s5hmnTgHXryJG1ZQsVvp8+nRxr2ZxefO5wc3oBUtcrSnJd06unJ/vrWfQaNy65ml58nIi7mP3u3fQdZ0F60SIS5r2WPTGPuYSiYxGAc/qWTj/nmJae8HzKUY3qUgB/AbAHwFeRqb5tBvBxr+sSBKEwcBK9stXHcIMLyUrEMZ0cO0ZXo82il1IUZT3lFG/WdT8EFb24nldUWJ1eY8bQYK6uzmjNzVf7RfSKDnZ1ZTi98jTeaBa9sjUCyXceeoiWH/0oLcXpRcsoRC+Ajj+PPQZ8/evAiy+mP9rIcMQximMk1/UCjIl1eTmdM+IQvS69lL7TDz1kFLGfNo1EimxOLxG9kieX3Rt376YLuN/7nvNru7tJIGOn16ZNtH8lUcgeiL+Y/Z49dPGR3ZNTpwLPPOO9i/aQISJ6FSta4xk/P17X6+c6y2IAd+rF+l0AbrY89waos6MgCEWEk+jF9u4wotfGjcG3S4iPpiaqT2IWvQDgrrviiaXyxDjXTq8hQzJFr5P6zngsZOzdK/HGOGCBK6OmVwrijUOGAP/1X8BHbDzufuKNTjUR850lS8gJefLJdL/YnV5Ri17XXw/MmAH84AfkKHn3u6NZb9yw0yuKib05sm6eSFdV+XOKHzhA54xs45UzzqAujvfd11/0Cuv0YjFQRK/oyFVNr44O4OqryQ347LPOr2VhtqqKRM+uvmJBheL0sp7z/CKilxA1fmp6zQTwn323rSPO/aAaX4IgFBFuTq8BA4yrl34Qp1e64TiJVfQaPTqez1OKJsd+C9mf6Ku8ZXaGDgV27aIB7euvA1/5Cj3Og7o9eyjeOGSIc90WwT9pjTcqBXz72/bPWZ1eWhdXvHHPHrqi/+//ThPOgQNF9OJ4Y1QRxIsvpp/9+4E33wQWLoxmvXHD4k4UE3suZg9k1gerqvI3ofd6ka60FHj/+4E77iDxctgw+j1GjiS3nRvZRK9Bg2g9InpFR66cXloDDz9MF97WrnV+Le+j1dWZ+0UhOb1E9BKCoBS+6ef1WuNbXl7nR/RqB+C0+04C4KFhryAIhYSb6DVhQrBueUOHkoAiTq90wqIXd25MgkGD0hNvfOIJuiJ74YX0uFn0am2VaGPUpDXe6IZV0Dp8mI6TxSJ6/eEPFN256ioSB7mYvZliE72idnoxNTX5I3gBhtMriuNkVRU5rTZsyBQTq6v9iV5+yjF84APArbcC99xDbl+look3ApmF8nNNby/9hOl4nGtyJXoBFIWdOxf41rfo2F9eTn/PT30K+PSngdNPNy4EVFdnfh+SEr2ScHrxRewgiOhV1Nzo4TXmgaAn0ctPvPHvAL6uGpW534pWjWoQgC8CeMTHugRBKACcRK9t28KJIlOnitMrrWzZQsVJg7j4guJH9OrupsFcXIXsH36YBo1nnEGP1/Z5nDneKNHGaElrvNENq9PL2sUKKGzR6667qIvr7Nl0v7panF5xiV75RpROL4AijsOGZXZd9Ov0YqGJu8u58Y530DH+6FGjg/GIEeSacfsuczTeTfQaN47qZaaBSy4BPvnJXG9FOHIhep19NjXv+H//j5r6aG1EYd98E7jzTuDBB+m+WfQy73sSbyTMJSWEomNglp8FAB4H1Zf3bJHwI3rdAGA0gPUAfgVS2L4G4FUA4+BNlRMEoYBwEr2amrwNIJ2YMkVEr7SyZQsNzqMuWO+GH9GLB5JxiF4HD5Lo9a53Gb+/Nd4oTq9osYs35pvTq5hEr3XrKOr1sY8Zjzk5vfhvUAxE2b0xn4myphcAfPObFDc0U1NDbl+vmMWHbJSWApdfTrdZ9OJjvltdLy9Or3Hj0uP0ev114P778/v41NlJF+iSHKuceCI5XYcPB044gR7jiOPLL9OS/8fm/W70aKObaVKiV5zxRrtIv1/E6VW8aI0eux8AkwH8FsAKACcCuKZv6QnPopderLcAOAXAEgDnA+gBcBaA5wEs1Iv1Dq/rEgShMLATvXp6qJV6GCfQ1Kl0xZOv1AnpYevW/vW84saP6MWT6zgK2e/fT/v2e95jPF5TQxEXiTfGg128MQ01vdwoZqfX3XfT5M1c4F+cXobTK6qaXvnKtGm0f0ydGs36Zs6kOltmRo2i+oteOXCAxEizW8yND37Q+GzAECmiEL327s39uEdrOpcdOgQsXZrbbfHLsWPAT35Cf8POTnJ59Z02Emf6dPrsdevo/ksv0bKpiZZm0WvAAHJBlpXFL4wPGED7YZxOr44OKgMhopcQBUphvFL4FYDVAM4BcB2AaVrjV31imCd8pbX1Yt0MIM8Nr4IgRIWdGNHSQsJXWKcXQLU2Zs0Kvh4herZsARYtSvYzy8u9iwN8hT+Oml4M1/MCaABZU0OTBIk3Rg+7ujKcXhJvTBVnn02T9R/+EPjtb6mToLmxRXW1UTeJKVbRq9idXlOmGG7huKivpwk9ix7ZaGvL7P6YjbPOotqOZ51F9/04vdyanPDfZPv26ETBIHR0GMelhx4Czj8/d9vil+eeA778Zbrt9f8fF4MH0wVCFr2sTi9zIXuAxsxaJyPSVVXF6/SyO+f5hUtKCMWLUhgJShpeA+AIqHbXj7VGoOCrn3hj5oY0qirVqE5VjSrByi6CIKQJO6cXX8UKM6hl0SsXxexfeIHqQgn9OXaMBuRJFrEH/Dm9WPSKI94IAAsW9Be26uqobkdPjzi9ooYFroyaXhJvTA09PTTRXLMGuOACqudojjYCJAoXu9NL4o0G48fHO7FnwdWr28uv6KUUcO65RmyOnV5uxey9Or2A8BHH5cuzF9Z3o6WFlqWlJHrlEywk3XZb7kUvgCKOa9dSEftXXqHHmpvp/oEDtC/xMeHMM4G3vz2Z7fJb984ve/fSkmueBkGcXsWLUqhSCv8N4C2Q2eoWAJO1xneCCl5AFtFLNap3q0b1PZvHbwDQCspUblWN6veqUeVxjw9BEIJgJ3rxgC1svBFIvq5XczN1wuJCo0ImPFhLc7wxbtHroov6P1dXR5N+QESvqDle0yvP440lJZk1g/g1+S56NTVRjOWnPwW+/33qWva+92W+huONZq2y2EQvcXolB9cN27nT2+sPHPBWz8uJqOKNY8fSki8cBmHPHuCd7wT+93+Dr4MFs4suoguPb74ZfF1Jc/AgLVevBp5+Oh2i1/r15PY6eBA49VQ6Xra20n43bJhRy+v73wf+9KdktmvYsHhFLy5A7+ZszEZUoteuXSKe5SGbAXwVwLMA3g3gNgA1SmGy3Y/XlWZzen0WwHTzA6pRnQ/g2wDWAbgWwC8BfBDAlz3/KoIgFARuTq8w8cbhw2kQmrToxfWg3AavxcyWLbRMs+jFA/SoxSe+YnnJJf2fq6ujWl+AxBujJh/jjXZOr9paY3Jj95p8hTuTzZoF/Od/Ag880H9iX1NDEz2eePT00E8xiV4sdvlxFAnBcBO93nyTLmyZGyv4dXpZ4ZpM2ZxeSrk3b2hooO/EG28E35b77qPv2tatwdfBTq9PfIKWDz8cfF1J09FBywEDaLySa9Fr5kxynPGFVL4g0NwcXmwNQ3V1/+YiUcLzgjB//yFD6OJI2OTFmWcakVchb6gGdWZ8N4ClADZk+fFENnfWySCBy8wnQLnKd+vFehcAqEYFAB8B8COvHywIQv7j5PQqLw/vtJk6Nfl4I/8u0ibZnlyKXl7qT2gN/P73VHMs6ppel14KPPsscMop/Z8zx9bE6RUt+RhvLC2lSZfZ6WWtbcKTX7vut/kEH6PdahDxxO7AAbry39VF94tJ9Hrve8kNd6LnPlNCUFj0sos3Pv88lTBYswY44wx6rK0NmDEj+OcpRW6vbE6vIUPcY51lZcDs2cDKlcG35fe/p2WYiCSLdwsX0v760EPAtdcGX1+SsOh15ZX0t8i16MUdHH/7W9qW888HvvENujicS9FrzBjDnc709ND+WRK48JEBN2MIK3rxurw6ZC+/HJgwAbj5ZuOx5mbg3nuB//u/4uoYnOd8Io6VZhO9RoLylGbOB/AsC159PATAUsVBEIRCp7ycrsT09honyubmaGp2TJlidLtJCnZdiOhlz9at9H+OswixHV6dXs8/T5Pw66+PfhvKyoxJkhVz3QoRvaIlH+ONQOYFATfRK9+dXhs30sSGhQY7WIDev58iXMeO0f1iEr0qK4EvfjHXW1Ec1NXRecrO6cXxd14CJD6EdeB5Fb2ycfLJwJ//HKyg+bZtwLJlJLpv3+7vvWbY6VVXRxHHm28mMSkforkcb/zKV9Ileq1dC5x2Grn5gNw7vcaPJ3d6dzddoAGoQc+0acCtt4ZfP4teHOMPAn9fDh3yvu+tWpUZ2zx2jM7DR44ATz6Z2XlbSC9a4zdxrDebntsB4HgiVzWqaQBqATxveV07AI/NfgVBKBTs6tI0NUUjiowd670mR1TwJJUHTkImW7bQ/yXpyapX0evuu2mQa21hHzcsaJSUhCvcKvQnH+ONQOY+W+ii19Sp7u4As9MLKE7RS0iO0lKKmbuJXlxoW+vw8UaALna4xRsPHfImep1yCm3jtm3+t+EPf6DlFVfQ794b8NpAayudxwYOBN72NnJmsss77XR0UNOIU0+lWFvSrnQrI0YYY4L58+l+WRmNk9vacit69fZmfkdeeAFYsSKa9UcVbwT81eNqa8tMBZhv33tv8G0RCoNsotc6AOaSpO8DoAE8bnldA4CWCLdLEIQ8wFqwGaArWFGIXmVlyXdRFKeXO1u2JN+5EfAmeh09CvzxjxRDHDYsme1iWNCoq6MJlxAd5ngjO73SHm8Eisvp5RZtBIyJHdeQEdFLiJv6evt4o9Xp1dlJok5Y8SEqpxfH54NEHO+5hyKJZ55JY6egHRxbWgzHMouBXsoLpAEWvQDg738Hbr89t9sDGG6v+fPJvTduXO7jjTxG5xq8Bw6QYLRpUzTrj9Lp5VX00pr2U7PTi/fboUOprhqfe4TiJJvo9WMAn1KN6j7VqG4F0AjgdQD/tLzuMgCrYtg+QRBSjFX06ukhy3SYIvbMgAFG7ZekEKeXO1u25ObKqRfR6+GHaSLzsRwE7VnQkGhj9Bx3ekEZNb3yyOmltb3oVVJCx7h8Fr16e6nZSDbRi+ON7PTi31lELyEuRo/2Fm/kCXLcTi+votecOXTh5JVX/H3+mjXAq68CH/mI0QUyaMSxtdU4l/EFpDg7/UXJwYNGFG7QoHRchDKLXgCNjznemKvGFjxGZ9GLnXz790dT4D4Kpxd3fvQqeh05QnMGO9Hrgx+kv/c//hF8e4T8x1X00ov1g6AOjQsA/Aso1vgBvdi4zKoa1TgAiwDkUX8PQRCiwCp6tbTQFcYonF4DBtCEMahFPwji9OrP449TLauLLqKBWlpFr7vvpkjL+ecns01mWNCQzo3Rc7ymlynemE81vdrb6ZhoFb0A77Hd7m7gox8NV+A6DpqbafvF6SWkjfp6e9GLY4285AlyFE6vjg7n7/Phw8Yk3o3Bg6njn9/vOk/mL7ssvOjV0mKcy1j0yienV9pqj11wAQle3MRi3Diqj9rentt4I2A0PDB3+2ZDfJEAACAASURBVNy8Ofz6oyxk71X04u+yeV/lx664gvble+8F1q+nxgJBnZBC/pKtkD30Yv0TAD9xeb4Z1FpSEIQiwyp68Qk0CtFr4EBadncnNzmS7o39+dvfqNbD3LnUXOC885LfhmziQGcn8MgjwKc+ZRRlTRJxesUHu7rMhezzId7I++yePXQ/jOjV3Az87ncULbbrHporvHRuBKSml5A89fU0qe3pyXT7WJ1evE9GUcgeoIij3fjn8GHvHa1POYWieX7YuZPOfWPHGr9vFE6vfI43poUrrqAfZvx4w2GVK9GrqorEQavTC6CIY9jzTGen0cU4KEFFryNH6BxTVmbstyNGUAfdO+6gHwD4wheoo6NQPETQmFQQhGLFWsieT6BRxRuBZCOOEm/sz5495O566SXgzTeBd74z+W3IJg4sW0b/u1x15hHRKz5Y4CpRJXkVb2Sn1/N9bX/s9o3ycm+iF3dTe/PN6LYvCryKXgMG0ERURC8hKerrySVurbMVZ7wRcHaPeI03AtTBcedOf418du4kd1ZJCS2DdnA8epS+p1anVz7GG9OKeXycK9GLt8MsevHxOIq6XkeOhO+cGVT0Mt9m0WvYMOCrXwWuuYbqvJ1zDrBkCaVJhOJBRC9BEAKTlNMrKSTe2J89e4yr2LnCXB/JjkcfpdfkQpADaOA6cyawYEFuPr+Qyed445tvAp/9LO0Xixb1f41XpxeLXuvXu79uzRraF6OIp3hh40b6Hbwc72tqJN4oJMfo0bS0CkfW7o0sxIYVHzhSyGMgK35EL3bZ+KnrtWuX8TuXltJtp21xg0VCFvGGDiUhLZ+cXmkXvczHy1yKXlxQHyDRa9o0uoD31lvh193ZGa6IPeBf9LLr2sjLqirgpJOAX/6SEgEf+hBFOlevDreNQn4hopcgCIGxE73Ky40WzWEQp1c6sCvCnTTc6c5pX3j0UeCss7xPKqKmpIQEh6uuys3nFzL5HG/cto0mYA88YOzD1tf4Eb02bHCvcfjCC3SFe+3aYNvsl40bKfJc4mEkWV0tTi8hOerraWkWvXp6jH0waqfX5Mm0dHLJHDrk/fw0bx4t/dT1MoteAAkaQZxefKxhp5dS5JLJJ9ErbfFGK2l1ek2aRPtxITm9eGnt6H3RRbT829+Cb5+Qf4joJQhCYKyiV1MTDbb65qahYNFLnF65Zffu9IhedgLBtm00yb/ggmS3SUiGfI03VlaSqPPnPxsuECuDBhnHTjd4InrkiLt7w9yBKwk2bswebWTE6SUkCYteu3YZj7HgNXBgf9ErrPgwfDhNrO0Eg2PHKPbI25SNYcPIdRNG9Bo7NpjoxfFMcxx72DCJN0ZJWpxe48fTueXYsehFr87O8KIXf6eeesrb653ijQMG9HedjRlDzQWWLAm3jUJ+IaKXIAiBYTHC7PSKItoI5CbeKIXsM9E6XU4vO4Hgscdo+e53J7c9QnIcd3qZ4o354PT6zneApUuB005zfo1fpxfgXteLO3AlIXr19voTvcTpJSSJXbyRha6GBnIEHTtG+2RpaXiXsFIkGNhFw5qa6Fzqp/PxvHnAa69lPtbRYe9C7+khsSoK0cvq9ALS6/Q6dAj4zGcMsb+3Nz9Er7o6Q4QJ6zAMw/jxtF+uXUvfg4kTaR/eujX8uDuKeGNZGfC5zwH33edNiDOLXuZ447Bh9hfiL74YWL7caDYjFD4iegmCEBg7p1cUReyB3MQbeQJ68KAUuARoUHn0aHpELzuB4LHHSGjlduBCYXG8ppcp3pgPNb2mTwcWLnR/jR/Rix0BbnW9knR67dxJExs/opc4vYSkKC+nfc5O9OJ9dv9+mihXVUXjTndyyXCNPT+iV0MDjafMceYPfxj42Mf6v3bvXhK+zE6ysWNpwu+3VIOd06uqKpzTq6WFRLxsNQn9cvvtwG23GZ0u+WJl2uONShkXh3Pt9AKAZ5+lJTu9enqM2GNQoog3AsC//RvNBX70o+yvdXJ6OQmLl1xC4/yHHw6/nUJ+IKKXIAiBMYtePT3Ajh3ROb1yEW9k8a6319tktNDhK2BpFb26u4EnniCXVxSTFiF9sKsrw+mVB/FGL/gRvebMoaLSbk6vJEUvr50bmZoacXoJyVJfnxlvZNFr2jTj/oED0QkPkyeTwGWtu8ffy4YG7+uaOJG+J+btf/VV+rHCr7E6vQD/bq+WFnK9mYWjsE6vF18EVq0yOtlGQXc38OMf023+v7LAl3anF2CMk621pnKxDcuW0ZJFLyB8xDEKpxdAMcSPfQy4447+nVitONX0cvobn3wyHSMk4lg8iOglCEJgzKJXaysNRPI53miegErE0RC90tC9EegvEKxYQYMaqedVuLDAlVHTq0BsmH5Er9GjyT3mJHp1dxv1vpIQvbiz3KxZ3l5fXU0T554eEb2EZKivd3d67d1rOL2iYPJk+j5bO0Zu3kwRSqfafnZMnEhLjiwfPUoXFbdt6+9+588LKnp9+9vAl75Et1tbM11eAP19woheLKCYY9phufde+lsARifOjg5a5oPoNX48CYt8cTdX2wDEI3pF5fQCgOuuo/3/+uuB+++nuKPdebO93RirWuONdpSU0NjRa80wIf8R0UsQhMCYRS++8u/naqYbuezeCEgHRyD9Ti8erCxalOz2CMmRr/FGL/gRvUaNAmbMcI4I7dhhXCDgyX2cLF8OTJhAV+K9UFNDy7Y2Q/Sy62gpCFExerS96GV2erW1Rev0AvoLBlu20HfFj8DBUUh2iW3dSlGs3t7+0TM3p5db4wuA1vfTnwI/+xn9rVpbM+t5AeEL2fPfw+xaC4PWwA9+QMfD+vr+olfa440A1ar6/vdzuw0VFbTv79hB7r66OrpoPWBANE6vqESvE04ALrsM+NWvgCuuAD7wAeDBB/u/rq3NqJdmjje6uenq6+kiUYFcRxOyIKKXIAiBMYtea9fS7Zkzo1l3LuONgDi9AMNOnlbRa+lSYPZsoLY2+W0SkqGQ443l5dlFr6NHKYI1ahQ5vbZssX8PT45LSpJxei1fDpx+uvfXs7Bw4IA4vYRkYKcXT2hZ9GJxau9e2h+jcnpNmUJLq2CwebO/el5Af6cX1wWzWz+LSWaxyqvTa+VKOs/39gL33EMCu9XpFTbeGLXo9dRT5DS97joam+RjvPH004HPfz7XW2G4vSZNohIRpaV0Oy3xRubXvwaeew544QW6b9cwgl2b5hp0bjW9ACoZ0NOT7MV1IXeI6CUIQmDMXfXWrqWrRRMmRLNujjfmopA9IE4vIN1Or64uGgSddVZutklIhmKPN5oLS0+fThN4uwE/T45POCF+0au5mdwmfkQvdnrt3y+il5AM9fU0NmHBZt8+mgCzqMNOr6hErwkTSHS2c3r5dcBXVADDh3sXvSoqMh1OQ4fS75VN9Hr0UVrOmAHcdZdzvLGzM/hYLErRa98+cknV1wMf/Shd8MrHeGNaMItezJQp6Yo3AvQ/Pf10YMECGo/y98IMf5fNIq1bTS+AvieAXOQuFkT0EgQhMErRxI1FrxkzaNAXBeL0yj179tCVv1y21QbsRa+VK+l/9M535mabhGQo9ngj18FhpxdgX9eLnV7z5sUvei1fTktxeglphuN+HHHct4+EpGHD6LwWdSH7sjISEcyidGcnfb5fpxdAbi+z6FVWRhcDzQIYQGKSuXMjM26cN9Fr/nzgi1+kYvM7d9rHG4Fgbi+toxO9jh0DLr+cjnV/+hM5iYYPz894Y1rgGrzsLAScu5D6IWqnlxnz98KMk9PLTfQaMoSWMt4vDkT0EgQhFBzRWbMGOPHE6Nabq0L2fIKUkyCJXrW10QmZQbETvZYupeWZZya/PUJyFHK8MajoZVfXa8sWmuRzjZI4Wb6cjvvz5nl/DwsL4vQSkoKFoB07aMmil1K03L2bhJIoL+pYBQMuth5W9Nq0idYxcaK908tcz4sZO9Zd9Nq/n77LF1wAfOhDxoVGu3gjEEz0amkhAaSsLLzo9ZnPAM88A9x5J/COd9BjtbX5GW9MC3ZOr8mTDUE4KFHW9LLiJHpxlJFFr6NHM8f0dojTq7gQ0UsQhFCUl5M40tQUXT0vIHeF7Lk+lMQb6f+a686NgLPoNX26/WBfKBxY4DI7vQop3mh2l9phrtdTVUVLO6fX1q00campAQ4f9lYgPyjLl5M7xI9oxfFGdnpx/RhBiAvu0rhhAy1Z9AKM6KDW0Tm9gP6iF7uygjT4mTTJ2MbNm2kddi6coKLXk09SLa8LL6TI2HveQ49bnV4sCgYRvXhbTz2VRLagx6UVK6iu0/XXAx/5iPE4O720lnhjEOxEL34sWxMEJ7Sm81rcTi/rMMAab+T9IVtNL0BEr2JBRC9BEEJRXg68+irdjkP0StrpxaKXnARJ9Mp1PS+gv+jV00NttiXaWPiwwJVR06vAnF5uGp7Z6QWQ0OsUb5w4MbN2VhwcPUrRYj/RRoDcI8OGAb/9LU2IyspI+BKEuBg/nqJua9bQfbPoVVtrCDJRO71aWozxA8eOgzq9Dh0iUYdFr4aG/vHGnTvtRa/x40kQcxKaHn2UfveFC+n+1Vcbn2uGnTJBOjjy3/jtb6clH8/8cssttB1f+1rm47W1dGH00CFD5GAhQ8jO/PkU8TvlFOMxPtcE/V91dZGYGqfTq7PTqDnLn9nZSfsIO714f/Xi9Dp8OJ5tFdKFiF6CIISivNzo3Jjv8UZxemWSVtHr9ddpQCNF7Auf4zW9TPHGQqrpBbi7WVtayLnAE4hp0wznCtPbSzEqdnoB8YleK1eSU4snsV4ZNAi46SaKJ911l0QbhfhRii7E2Yle5iLxUYtegCFMbd5MY5kxY/yvi8Wn11+nbWen1969xoS+s5Nu24leM2fSscEuDq01iV7nn///2bvz8Lju+u77n9+MdmuXd8dL9sV2FmInJCGJExICKUu5Ayn05mF9Gp67hRsoUKCU5QZKG2iB0gcKgassV1ugpFAIy5MQspA9zurYibM48W7ZsmRrsXbNef74+ac5M5oZzT5nzrxf16XrSKPRmSMdaXTmc77f74mfYPzjP5Y2b5Ze/vLE+xZa6WVMPFjLp8Vx3z7ppz+V3vOeuVVc7nitv98eszU3x78fzG/dOhsYuqpIqfDQy1UvlzL0khJbHN3fg6v0GhyM/77S3giH0AtAQZqabOVNXV38kt3FUIn2Riq9EvX1BTP0cvO8CL3CL+ztjVLmlp+DBxPbjdassbf52yIPHLDPk+UIvfIZYu+8+922haq3l9AL5XHWWTb0isXmhl7u2KLY7Y1SvMLJVWDmMxfTvbi/+267dKGXFA/VXDCRKvRau9Yut26d+7kdO2yYdPXV8duMsW2IyRWYhVZ6rVgR/17yCb2++U27/97//rmfc/uzv99WetHaWLhCQ6+xMbssZXujlD706uiwvwtuJhmD7OEQegEoiPvHduqp8eqsYqjU1RvdlZ1q/Z9gLGYPJIMaeq1ZYy8Rj3ALe3ujlFvo5X7n/fNWXAtVOdobH3jA/u3lM0vPGOk737EhA6EXyuGss+wg+z177P80f3ujU8xKL3fiz4VeL72UX2ujFH9xf9dddunaG916pXiIlOrv8fTT7XHUtm1zP+cG7LuLY2RSyCD7F1+0QZ3bvlxDr7Ex6dvfll7/+tRz0dx+HBgg9CqWri57LF9o6FWpSq+ODlvJ6C5gwUwvOIReAAriXrgVc56XVLn2xqYmOwek1tsbjx61LxKCGHq98IK0fn3ltgflE+b2RnfCIJ/Qy3/A795fsyb+or4UoZfn2cD5kkvyX8fy5dJ//Zf0mc8Ub7uAdNzIhXvvtUt/pZdTzEqv7m4bEvkrvfIZYu/W1doar670V3q59bsQyV2p0q+hwYZaqSq9XCCQTdtloe2NJ54YvyJkrqHXT35iT7598IOpP5/c3tjamvs2IpEx9n9Ooe2Npar06uqy+9n/P9D9brr2RskG3VLx2xvL2X2C4iL0AlAQ94+tmPO8pMq1NzY22n+EtX7mxw0JDeLVG4NyVUmUHu2NiaGXO8vtKjWk1JVeAwNF28xZzzwjHTokXXFFYeu58krpve8tzjYBmbgWv+TQq1SVXsZIZ58t/fjH0pYtdkRAvpVexti/6clJW8HU3W3/vjs754Ze6Sov161LHXq5qzpmE3o1NdnjsVzbG8fH7eOcdJJ9ruvuzj1I2bLFtqClG2VAe2NpFBJ6lbrSy5j4lU2d5EovKbfQK9tB9vfcMzdwQ/Ug9AJQEBd6VXulVyxmDy5dpRehl10GodIrGrVv7kp3fX2EXrXC397oKr1qpb1xasqGV/7Q64QT7EG//6B7507799DSEq9aKUWl15132mWhoRdQLqtX2xffmSq9ihl6SdJ3v2vnnF55pf0430ovKR5yn3hifNaW/wqOvb329nT/D9eutQFZ8vHM/v02DMimMsoYe99cK73cc5SrTlu6NPdKr4MH7delu9Kr24+0NxZXMSq9ShV6SfbvItMgeym70CvXmV7//d/2dcILL+S2vQgGQi8ABSlV6FXuSq/JSbtsarJnf2q9vTFIoZdkA4KJCXtgOzkZnO1Cac1WehkTn+lVI5Vehw7ZpT/0amiwrUz+Si//3KC6OvvCr1Sh16pVhb2IB8opErHHJq7aKTn0am4u/ny500+XfvWrePVIvpVeUmLo5Zx0UrzS68ABG3ilu2LhunV26a5g6ezbl9sVJTs6cg+93DYWI/RKp6HBBne0NxZXMSq9StXeKKUPvdrbEyu96uszb0ddnf0dyjb0uuMOu/RXUo+M2N+/WDimLoQaoReAgjQ12bNwp59e3PWWe5C9OztFe6PV12eXQQmXXOgVpLZLlN7sTC9fe2NYZnrNF3q5Fx3+0EuywZP/gH/btsT28q6u4odesZgdqL1pU/qqCyCI/H8bye2Nxa7yci66SLr5ZunSSwubP+kCM3/o5Sq9YjEbImUKhVzolTzMfv9+e1XFbLW3597eWIzQq7d37vNfsp4eKr2KzYVe+QQ5pW5vlGzodeSI3edS+vbG9vb5/19le7zf3y89+WT8fedHP7LHya5lGMFF6AWgIOeeK73ylfEy4WIpd3uje+HJIHsrqJVeQQvjUFquqss/yD5s7Y0ucE+WLvRavTpe6TUwYKs93ItbqTSh17Zt9kCf1kZUm+RAWIqHX8UcYp/s2mvthR8KqT5KV+k1OSl9/OPSE09kDr1OPtk+zyTP9dq/P7dKr3zaG1980QYf7vnLhV65FOrOV+kl2dCLmV7FtWSJPfbO5/9IqQfZS3Ov4Dg0ZB+voSHeztjfn7m10ck29Lr77vjvrj/0CtqxMtIj9AJQkA99SPrd74q/3nK3N1LplejwYXsQUewwM1/JoReVXrXBBVwRE6m59sZMlV579tiz8K6Cww3slkoTerl5Xps2FXe9QKm50GvBgvjfnAu9SlXpVSxu2/2h9sUX27Duy1+24ffLXpb+66NRuw5/6BWL5R565dPe+MILNqBzlTZLl9qWT/8JxfFx6RWvkP7mb+Z+/dSUPQ6Zr9Kru5v2xmJzP/N8WhzLVeklxUOvwcH437L/bzqbv+9sj/fvvNMeDzc1JbY39vXZdZTy+0VxEHoBCKRytzcmV3oRetkzV0FpZaK9sTbR3pi60mtiws78ci9m/S+Ku7uLf/XGO++0rVaFzCcCKsEFwv7h9W1t9hgj6KHX+vXSc88lVliec44NtWdmbIj0d3+XeR1r1yaGXv39NlAqdXvjc88ljr1wFVv+FscPf1i67z7pv/5r7te7E1zZtDfu3WvDPCq9iqOQ0Ktcg+yl1KFXa2v8uDXbSq9srt54xx22XXnRormVXlR5VQdCLwCBVO72xuRKL9obgxUs0d5Ym2qhvTFd6HXggH0uSq5eWLXKLnfvtpVe7e32qo5OsSu9YjHb2kFrI6rRiSfavzV/6GWM/biU7Y3FcuqpqU8+RSLZBQvr1tl5Q0eP2o/377fLUlZ6TU9LO3ZIp50Wvy059PrZz6RvftOGb9u3JwYJ/vvN197Y3R3/ngi9iqMYlV6lbG9cssS2MqYKvdzVRqXsQq+WlvlPch88aC8GccUVc08qBe1YGekRegEIpGjULsvV3uiv9KK9MXhnr/yhV2MjbQy1Isztje5FQbrQa+9eaeXKubf7z3Jv3WorOfwviosdem3datdHayOqUTRq/0aSK4Y+8hHpbW+rzDaVU/IwezdwO9dKr1xCr1277LFbutBrzx7pPe+RNmyQvvc9e/uDDyauI12la7KenvjAdY4LiiPo7Y2RSOIFXfyhlxR/v1gzvVx7/5VXxmfIOX19wTpWRnqEXgACyRh7sFqJSq/WVvvxzEx5HjuIgvaP3N/euGhRcNouUVqp2htrpdJrz57UoZer9PKHXn5dXfb5K92A/Fw99ZRdnn9+cdYHlNsPfyh9/euJt330o9LrXleZ7SknF3q5v+N8Kr3a2+3zVLrnqmTPPmuX6UKv97/fDuP/8Y/tjLJoVHrggcR1ZFvp5a7EKVHpVSzd3XafFNLeWMpKL8lWcG7fbt8fHEwMuNz7xZrpdeeddl3nnRe/WqgTtBPESI/QC0Bg1deXf5C9q/SSarvaK2j/yP2VXkHaLpRWqvbGWpnpla7Sq7PTHtRv3mzPOPvneUnxK9QVq9rr6aftC6BTTy3O+oByW7s2cb5ULVm1yj4nPPKI/dhVes0XJvm58CDbaq/nnrNLf+jV02OfR773PekXv5A++1l7dckFC+xVwO+/P3Ed2VZ6Jc9qQ+EiEWnx4vwrverr490apXLVVdKTT0o7d9rfy1JWej39tP0drauLXzjB6eujvbFaEHoBCKy6usoMsq/10Gty0p45C1K45A+9OMCoHa6qK6HSKyTtjZlCr6kpO9PLP6vLb9Uq6bbb7PupKr2k4oZep55qZ6gAqC7GSBdcID38sP14/34baOTy9+zCg2yH2T/3nH0e8h9DRCI2wHr8cRvUf/CD8c9dfLH00EOJx3u9vbbqfr4rSPsrvWhvLJ4lS/Kv9CrHlQzf/Ga7/OlPC29vnG+Q/fh4/HWBq/TyPBvwHTsWrGNlpEfoBSCw6usr194o1e4we3eFxMWLK7sdfv72Rg4waocLuBJmetVAe+P+/fagOlWll2RDLzeYOl2lV7Gu4Pj009JZZxVnXQDK78IL7UyvkRH73JJLa6MUDw9yqfQ67bS5Ywhcddm3vhW/WJEkXXSRDR5cC6ZkA5dsqtGo9CqNfEOvsbHStzZKtr3x/POln/xEGh5ODL2KPch+fDz+/7q7244+GRqKV3xxIrY6EHoBCKy6usoNspdqt9LLXSExSP/IqfSqTbMzvWqsvXHvXrtMV+nlhtl3d89t/3EvAotR6TUxIb3wAqEXUM0uuMAOe3/sMdvemGvolU97o7+10Xn726UvfEG65JLE2y++2C79LY4HD87f2igx06tUCgm9ylHpJUnXXy89+qh9P1WlV7YzvUZH7UmmdCYm4kGe+33r7+dq4tWG0AtAYOXa3ljIi7xUlV6EXpXdDr/GRns2b2goWNuF0gpze2MkYp/jUg2c37PHLjNVekm2yiu5mqKY7Y3PPWdfLBN6AdXrggvs8uGHbaVXLldulNK3N6Z6Kj52zD5/pQq9PvAB6ZOfnHv7qlXSsmWJw+x7e7Or9KK9sTRc6JXrv9vx8fJUeknxFkcp/0qvBQvirYrpJFd6SbaS2nVFcExaHQi9AARWLu2NDz1kz7Y8/3x+j5Wq0qtW2xuDGnq5s46cVasdYW5vlOIVjMlcpVe60MtVeiXP85KKG3o9/bRdEnoB1WvRItsOdt990qFDxWlv9DzpzDNtgPba10o/+IG9/YUX7DJV6JWOMbbaK59Kr87OePBPpVfxLF0an++ai3JWerkWRykx4Mp1ppeU+SQ3lV7hQOgFILByaW98/nlbkZBv6OWv9KK90S6DFnrFjne1BWm7UFphbm+U0odee/bYF3DpDtr9lV7JOjvtslihVySS2wtYAMFz4YX24heeV5z2xrEx6dlnbeXL9u3SO98pPfNM6is3ZuPii6WXXrIX8JictJU02VR6RaP2Oa+xMXFOGArjAsdcWxzLWeklxau9ChlkL2U+3vdXevlDLyq9qguhF4DAyqW90Q11zmcGgZRY6VXrg+wPHbIvdP0DYivNHXBInFWrJWFub5Ts80260CtdlZckbdxor3523XVzPxeN2oP9YoRezzwjnXRS+c7cAyiNCy6IX6WuGO2NLiR473ttW2JTk/S1r8VDr1NPze0xXvEKu7znHnsMImVX6SXZYxVaG4sr39CrnJVekvTud0vvele8hVey/zuj0exCU3d10ExXcJyYSN/eGInETzQh2OoqvQEAkE4u7Y3uBV6+oZer9GpooNKrr88GS5EAnRbxh16cVasdLuDyV3qFqb2xuTn1wfbevemH2Ev2eeqrX03/+a6u4ly9kSs3AuHgDwVyrfRqbLRv/kovd1JwwQL7P/ntb5d++EPpyivtc5c7jsrWy15mg6u777ZBu5R96NXTY6+oh+IpJPTKpsKqWBYtkv71XxNve93rbPVhNuHufMf7npfY3uhCL9fe2N1tAzYEX4Be0gBAolzaGwut9HLly8YwyD6IV0gk9KpNLuBKmOkVokqvzs74c5fffJVe8znlFPviMVUVWSp33CF95jOJt01N2aoNQi+g+r3sZfEX57mGXpINMlJVernjpQ9+0B5H/eY3+bVD19XZqzr+4Q/x47hsKnUkafFiqm2KrVraG1OJROz/wGzMF3pNTtqlOwatq7N/C67Si+PR6kHoBSCwcqn0ci8cXVl8rvxncly5c622NwY59DImWG2XKK3ZmV6+9sYwzfTq6pobek1O2hcahYReH/uYDc6++93s7v+d70if/3zigf+OHTb4IvQCql9zs3T22fZFez7/39vaEo+J3HOFCw3OPFN6zWvs+/nOALzsRyUDOAAAIABJREFUMmnrVmnbNvtxtpVef/d30r/8S36PidR6emx4FPT2xkLNF3r5R584PT3xSi/GbVQPQi8AgZVLpVcx2htdsBKJ2H/aVHoFh3+eAqXktSPs7Y2dnXNnb+3fb1sqMrU3zueqq+wLyC98IfOsEmf7dvuYW7fGb+PKjUC4vOY10jnn5De6oLU1c+glSX/5l3Z5+un5bd/ll9vlzTfbZbah17p10stfnt9jIrVoVDrjDOknP7FBVraCUOmVi/lCL/9FrhwXelHpVV0IvQAEVrkH2fv/UScf4NWSvj7bLhAk7oCDA4zaEvb2xlSVXnv22GUhlV7G2Mqt3t75KyBiMXsVNkl68sn47S70OuOM/LcDQHB8/vPSQw/l97XJx0Tuff8A+Ve+0gZW73pXfo+xYYM9Dtu82baQVVPFUBh9/ev2iuif/nT2X1NtlV7zDbJ3lV7+0Ku7O97eSKVX9SD0AhBY5R5k7/+ntmBBbVZ6TU3Zf+ZBC5fcvuEAo7aEvb0xVaXX3r12WUill2Qrva6+Wvr7v898Jcc9e+Jn8rdsid/+1FPSmjW5D6QGEEyRSP6V0tlUehljryjb0ZHfYzQ2ShddZN/PtsoLpfPKV0o33CB95SvZh6XVFnplW+mV3N54+DCVXtWG0AtAYOUzyP7w4fyu4pNc6VWroVd/v10G7R85lV61KeztjV1d9qDaHVhLxan0cm680Q6ffsc7bEVXKq7Kq7k5XunledK998ZfgAKoba2t0vBw/ONUoVcxXHaZXWY7xB6l9aUv2QsfvOc99v9CJp4XvvbGdJVeu3fb1xqciK0ehF4AAiuX9sYjR2xlmOfZ4CtXyZVetdre2Ndnl0ELl6j0qk3+9kZX6RWm9kZ3xTF/i+OePbZSoq2t8PWfd570j/8o3XKL9A//kPo+27fb5R/9ka308jzphRfsbLFNmwrfBgDVL3mQvXu/2KGXm+tFpVcwdHTYK3Nu25a5YliKB0TVVOnltjXXQfbutQnHpNWD0AtAYGXb3hiLSUND0qmn2o/zaXGk0ssKaujl9k3QtgulNVvpJROf6RWySi8pMfTau7fw1ka/971PevObpb/+a1u9lWz7drsdV11ln0d37ZLuust+zr0ABVDb0rU3+md6FcOFF9qTXMV8DkRhXNXdfCeUXZt8NVV6RSJ2rleug+wdjkmrB6EXgMDKtr1xaMhWJ7grBuUTeiWXZHd22tlWtcaFXgyyRxDMzvTytTeGbaaXlHgGfc+e4rQ2OsZI3/2ufeFy441zP799ux1Wf8459uMnn7Sh19Kl0mmnFW87AFSvVKFXXZ3U0FDcx2lpke68U/rYx4q7XuTPVTPNF3q5gKiaKr0k+zs33yB7/+uD7u74+1R6VQ9CLwCBlW2ll3vB6EKvQ4dyf6zk9sbTTrMtPtm2V4ZFUCu9aG+sTa6qyz/IPkztja7Syx967d1b3NBLsldCu+466fbb5x7cu9Br3TobkLnQa9Mm+zEAtLbaAMCdiBwZKd1FLi66iJleQeKOu9zxYTqu0qvaQq9MnR1UeoUHoReAwMq20su1BhVS6ZXc3njmmfaxd+zIfV3V7NAh+0LXfyYrCE44wV516swzK70lKCcXcEVMJJTtjckzvaam7N/g8uXFf6zXvc4ewN9+e/y2wUHpwAH73NnaKp18svSznzHPC0Ai18boqr2OHSt+ayOCKddKr2pqb5Qyh17pBtk7nIitHoReAAIr20H2rkpizRpbap9ve6P/n9pZZ9nlM8/kvq5q1tdnz2Lle1nzUjnpJBsMnH9+pbcE5RT29sbkSq++PtuqXYoqh8susxVft9wSv81dufGMM+zynHPiV3Ak9ALguAtr+EOvUlV6IVhcNVO2M73CVOmVbpC9ZNsiW1pKu21BZIx5tTHmWWPMC8aYj6f4/GXGmMeMMdPGmDclfe5LxphtxphnjDFfN6Z89eSEXgACK9v2Rlcl0dVlZ1Flam/0vNSXXU6u9HIvAp9+OvvtDYO+vuCWa3NWufb4q7rC2N7Y0WGX7jnMBfaluHJZQ4N0zTXSr35lL/4hxa/c6J7vzj7bLpnnBcAvVaUXoVdtaGmxQVYYB9lLubc3ukqvWqzyMsZEJX1D0msknSXprcaYs5LutlvSOyX9R9LXXizpEklnS1onaaOksl0uh9ALQGBl297oqiS6uuyLxUyVXjfdJK1eHX/R5yRXerW2SqtW1WboFbQh9qhdnufNtjWGsb2xsdG+mHDPYaUMvSTp9a+XenulRx6xH2/fbp9nTzrJfuyG2V9+OfO8AMQlh14jI5yIqiULF4Z7kH0ulV6dnfaqj7UYekm6QNILnue96HnepKQfS3qD/w6e5+30PG+LpOSyfE9Sk6QGSY2S6iXl0ZuTH0IvAIGVbXujq5Lo7LSBTabQ6+c/t1dHGxpKvD250kuy86Nqsb0xqJVeqD0xLzbb1uiWYar0kmxYX45KL0l6zWvswbprcdy+XTrlFFtVK9n24bo6WxEGAA6VXrUtm9Crmtsb0129MVWlVyRi/2/X6LHyCkl7fB/vPX7bvDzPe0DSnZIOHH+71fO8sr3KIvQCEFi5XL0xErEzJzJVek1PS/fdZ98fGEj8XHKll2Tnej3zzNyqsDAj9EKQePJm2xrdMkwzvSQb1per0qunR7rkEunmm+1z4dat8dZGyV4w4rnnpHe8ozSPD6A6udBreNguCb1qSy6VXmFqb0w1yF6yJ8XPSm7qC4c6Y8wjvrcbkj6fqgY8qzORxphTJJ0p6QTZoOxKY8xlhW1u9urK9UAAkKtcrt7Y2WnbcZYssTO9PG9ue86TT8bPUroXmZINtaam5v6jPusse+Zq9247JD/sZmak/n5CLwSH53lzK71C1N4oza30amkpbdvQn/yJ9L73Sa94hf34TW9K/PyJJ5busQFUp1TtjYRetWPhQunFFzPfp5orvXKZ6SVJv/+9PdkeQtOe523I8Pm9klb6Pj5B0v4s1/1GSQ96njciScaY30p6uaQ/5LOhuQrn7gIQCrm0N3Z22veXLLEBlnsR6fcH39Oqv9IrVc++ZM/kSLUz16u/34aFhF4ICk8pZnqFrL0xudKrVFVezp//ubRjh/TrX0vf+Ib0/veX9vEAVL9UV29kplftyKW9MWyVXtGofT3i19Aw97YasVnSqcaYE40xDZLeIumXWX7tbkmXG2PqjDH1skPsaW8EANfeON9r3CNHbLWEFB/CnqrF8Q9/iM+u8Vd6ZSpflmon9Orrs0sG2SMoYl4s9O2N/kqv3t7Sh17G2MH1115rA7Bly0r7eACqHzO9atuiRdLgYObui2oeZD8xYbsdkqWa91vLPM+blvQ+SbfKBlb/6XneNmPM54wxr5ckY8xGY8xeSW+W9G1jzLbjX36zpB2SnpL0pKQnPc+7pVzbXpsZJYCq4M6izMxkPqOSXOkl2dDLP6smFpPuuUe68krp1lsTK73SzSHo7rbrq5Vh9i70otILQVEL7Y3JlV4nn1zZ7QGAZC7gGhmxx2Tj44RetcRdqbC/X1q6NPV9qrm9UbLD7F1Fo5Nq3m+t8zzvN5J+k3Tbp33vb5Zte0z+uhlJ7y35BqZBpReAwHJVWfO1OPorvVzodehQ4n2eecb+s37DG+Jf46Tr2ZfsXK9aq/Qi9EJQ1EJ7Y1eXPYMei5WnvREAchWN2jBjeDjeCkZ7Y+1woVemFsdMx9JB5kKvVC2OExPV9/0gNUIvAIHlqrvmG2afrtLLz83zetWrbEVXNjO9JNvi+Mwz87dYhgGhF4KmFtobOzvt88uRI/YFRbqz6ABQSa2tttLLhQNUetWObEKvsTEbEFXbgPdModf4OO2NYVFlv5YAaokLvbKp9HKhV0+P/YebKvRavtzOsunuzq3Sa3BQOnAgv++hmvT322V3d2W3A3Bqob3RVak+/7wNv6j0AhBEhF61K9vQqxoDIiq9agOhF4DAyqa9cXzcvrkXjtGo/eecHHrde6906aV2iHN3d/aVXm4u2HPP5fc9VJP+fqm9Pf5zByrNkzen0its7Y0usH/2Wbsk9AIQRG1tNvRyw+xpb6wdLvRyHQGpjI9X3zwvyQ6yl9KHXtUY5GEuQi8AgZVNe+PgoF26F46StHKl9NJL8Y/7+6W9e6UNG+zHXV3ZV3q5F6CZ/tGHxcCArZQDgsLzUsz0Cmml1/btdknoBSCIqPSqXe7YMMyVXqOjcz/HIPvwIPQCEFjZtDe68Mq9cJSkdeukbdviH7v31661y1wqvVyrn//+YdXfT2sjgiXmxea0N4ZxppdEpReAYGttTRxkT+hVOxoapI6OzKHX6Gh1VnrR3lgbCL0ABFY27Y1Hj9qlv9Jr3To7g8sFVcmhV7pKr0yhl5t3FWb9/VR6IVhqob2RSi8A1cBVern2RkKv2rJwYebQq1qPIRlkXxsIvQAEVjbtjS68Sg69pHjY9fTTdhbFypX243SVXqnO5jQ12X7/Wqj0Ghig0gvB4m9vlGy1V9jaG91z1wsv2OebtrbKbg8ApJLc3shMr9oyX+jV11edV//u6LBL/1gUh0qv8CD0AhBYuVR6Jbc3StLWrXa5bZu9CuPxQhF1ddmDtslJ+3GmSi/Jnrmi0gsoP397o2SrvcLW3tjWZq84OzVlq7yMmf9rAKDc3CB72htrUzah1+LF5dueYlm2TLrySulrX4tXMTpUeoUHoReAwMq30mvFCnvmxh96udZGKV7N5L420yB7d/+wV3rNzNifB6EXgsTf3igdr/QKWXtjJBI/00xrI4CgYpB9bcsUesVi9sRpNVZ6SdLf/q0N7b7+9cTbqfQKD0IvAIGVzSD7VDO9jLEh19at9h/0oUOJoZerCnNBVqZB9lJtVHoNDkqeR3sjgmVOe6MJX3ujFH9OIvQCEFStrfZ4yZ0wJPSqLQsXpr+S+cCADb6qNfR6+cul171O+tKXEmf+TkxQ6RUWhF4AAivb9samprn/lNats6FX8hB7Kb9Kr7CHXu77o9ILQeLJS2hvjJhI6Cq9pHhov3RpZbcDANJxM7wOHrTHXNFoZbcH5bVwoTQ2Zq/SmMyFYdUaeknS5z9vTwB/+cvx28bHqfQKC0IvAIGVbXujv8rLWbfOnnm6/Xb7carQK5dKr7C3N7rvj0ovBEnMi81pbwzbTC8p/hxGpReAoPKHXlR51R4XaKVqcTx0KPE+1eicc6Rrr5Vuvjl+G+2N4UHoBSCwsm1v9A+xd9ww+5/8RGpvt3O+HHd/f6WXMfHKsmRuplcIC0xmUemFIPI8b84ge9obAaD8XOjV28uVG2vRwoV2mSr0CkOllyStWhUfmyIxyD5Myh56GWMuM8b80hizzxjjGWPeWe5tAFAdsm1vdEOg/Vzo9fzztsrLf0W0VJVejY3pr5rW02O3YXg4t+2vJoReCCJPiTO9wt7eSOgFIKja2uySSq/aVAuhV3u7NDRk35+ZsW9UeoVDJSq9WiVtlfQBSWMVeHwAVSKb9sbR0dQHX4sWxS+d7G9tlOIhmb/SK9OZHBeShXmuF+2NCKJaaW+k0gtA0NHeWNuyCb3cfapVe7s9Ee7eJCq9wqLsoZfneb/xPO+vPc+7WVL4jlwBFE027Y2Tk1JDQ+rPuWqv5NArGrWVFS7oGRqSWlrSP4arfgrzXK/+fikSST0fDaiU5EH2YW1vpNILQNC50GtigtCrFs0XenV0pD8erxbupPjQ0PwXuUJ1YaYXgMDKpr0x05DJdKGXZCsrXKXXU09JZ52V/jFqpdKrq8sGX0BQeF5ttDeed56dJbJyZaW3BABS88/xYqZX7enqsqHWvn1zP9fXV/2tjZKt9JJs6OUqvQi9wiHQL2+MMTcYYx4xxjwynelVL4BQyqa9MVOl18UX27Lkc86Z+zk3nH5qyoZe552X/jFqpdKL1kYETar2xjBWel17rbRrV+aKUwCoJH/QRaVX7YlE7MmZXbvmfq6vLz5SpJq5Sq/BwXilF+2N4RDo0MvzvJs8z9vged6GOvfqF0DNKLTS6/rrpb17U/8jdpVe27fb4Ozcc9M/RpArvY4dk2JFaBTv72eIPYInVXtjGGd6AUDQuUH2EqFXrVqzRtq5c+7tVHoh6AIdegGobYVWehmTPshxlV6PP24/zib0Clql1+SktHq19P3vF76ugQEqvRA8nufNrfQKYXsjAASdP+iivbE2hT30otIrvAi9AARWNoPsM1V6ZdLdbSu9nnhCam6WTj89/X3r6+0ZzqBVeg0O2m165pnC10WlF4LIU4qZXiFsbwSAoItG7fGSRKVXrVqzxl69c2wsfpvn2eH2YQi9qPQKr7KHXsaYVmPMucaYc48//qrjH68q97YACLZs2hszVXpl0tUVr/Rav94ezGXS0xO8Sq/hYbssRhhH6IUginkx2hsBICBchRehV2068US79Fd7HT1qj9MJvRBklaj02iDp8eNvzZL+z/H3P1eBbQEQYNm0NxZS6TU9LT30UObWRv/9g1bp5UKvVJePzsXUlF0X7Y0IGtobASA4XOhFe2NtWrPGLv2hV1+fXYYh9KK9MbzKPh3e87y7JN9pWwBIY772Rs8rrNJLsiXama7c6ASx0mtkxC4LDb3c90WlF4KG9kYACA4qvWpb2EOvxkb7moJKr/BhpheAwJqvvdFVgOVb6eXUeqWXC72o9ELQ0N4IAMHhruBI6FWbli61oZA/9Dp0yC7DEHpJttqLSq/wIfQCEFjztTdOTtplIZVextiZXvPp6Qlu6FXodrmvp9ILQUN7IwAEB+2NtS0SsVcND2ull2TnelHpFT6EXgACa75KLxd6FVLpdfrp2Z2xdFd7jAWoyMSFXkeOZB72Px9CLwSVJ29OpRftjQBQGbQ3Ys2acIdeyZVehF7hQOgFILAiEVuJla7Sy52FKaTSK5vWRskGQp5nr1ITFC708jwbfOWL9kYEleelmOlFpRcAVAShF1KFXm1t4WkDTK70Csv3VesIvQAEWl1daSq9Fi60B2+veEV293eBUJCG2bvQSypsrheVXgiqmBeb094YU4DKLQGghhB64cQT7RyvY8fsx3194anykmhvDKuyX70RAHJRX58+9Cqk0qu5WXr++ez/UbtAqL9fOuWU3B+vFNzVG6XC5noNDNhwkRkdCJqU7Y1UegFARTDTC+4Kjrt2SWedFb7Qi0H24USlF4BAq6srzSB7yV6FJhrN7r5hr/Tq6bGtpECQpGxvZKYXAFQEV2+EC71ci2PYQq/kSq98X2MgWAi9AARapvbGcpYe+yu9gmJ4OH6Fy2KEXkDQpGxv9GhvBIBKuOgi6bLL4nNRUXvCHnr5K70aGzkhHBaEXgACLVN7Y6GVXrkIaqXXqlX2/UJCr4EBhtgjmGhvBIDgeOUrpbvvjp9wQ+1ZssSGQTt32gsphS30am+XZmbsBaKY5xUehF4AAi1Te2M5K73cWc2gVXotWWLnkxWyXVR6IaiS2xuNDO2NAABUSCQirV5tQ68jR+wJ6DCFXh0ddnnoEKFXmBB6AQi0bK7eWI5Kr2hU6uwMXqVXW5u9EmUhlV5Hj9rvDQgaT15Ce2PERKj0AgCggtaske69Vzr3XPvxOedUdHOKqr3dLg8dYoh9mBB6AQi0bK7eWK4zMT09war0GhmxoVdPT2Gh1+goQ2kRTDEvNqe9kZleAABUzqmnSgcO2AtC/f730tVXV3qLiseFXn19VHqFCR3ZAAKtlFdvzFVXly3lDopiVXqNjdkWSSBoPM+bM8ie9kYAACrnU5+SrrtO2rQpfIPe/e2Nbm4uqh+hF4BAC1KlV0uLDYiCYnhYam21odeuXfmtw/MIvRBcnhJnetHeCABAZS1ZYt/CyFV6DQ1R6RUmhF4AAi1IlV7NzcGp9PK8eKWXlH+l19SUFIsReiGYaG8EAADl4iq9JEKvMGGmF4BAyzTIvtyVXs3Ndv5VEIyP20squ5leR46k/zll4r4fQi8EEe2NAACgXFyll8Qg+zAh9AIQaJnaGytR6RWU9sbhYbt0M72k/K4s6b4fQi8EEe2NAACgXPyhF5Ve4UHoBSDQMrU3VqLSKyih18iIXfpDr3yuLEnohSBL1d5IpRcAACiFujo7w1ei0itMCL0ABFqm9kYqvRJDr3zmehF6IchStTcy0wsAAJSKq/ai0is8CL0ABFo2V2+s5dCrtdXO9JIIvRA+nry5lV60NwIAgBJxw+wJvcKD0AtAoM139cb6eslXCFJSzc12gHwQXnOnqvSivRFh43kpZnrR3ggAAErEVXrR3hgehF4AAm2+Sq9ynoVxwdD4ePkeMx1/6EWlF8Iq5sVobwQAAGVDpVf4EHoBCLT5Kr3K1dooxYOhILQ4+kOvlhb7RuiFsKG9EQAAlBOVXuFD6AUg0DINsi93pZe7mksQQi//1RslW+1F6IWwob0RAACUE5Ve4UPoBSDQMrU3UullB9lLdq4XM70QNrQ3AgCAcqLSK3wIvQAEWqb2xkrN9ApK6NXQEA/9Fi6k0gvhQ3sjAAAoJyq9wofQC0CgZWpvrPVKL9faKBF6IZw8z5tT6UV7IwAAKBVX6UXoFR6EXgACLYhXbxwdLd9jppMcevX00N6I8PGUYqYXlV4AAKBEaG8MH0IvAIHG1RtTSw69OjqkwUEp1zxgbEyKRm24CARNzIvNaW9kphcAACgV2hvDh9ALQKAF6eqNQQq9RkYSQ6/OTikWi1/VMVtjY1R5IbhobwQAAOVEpVf4EHoBCDSu3phaqkovSTp6NLf1EHohyGhvBAAA5dTVZZctLZXdDhQPoReAQOPqjakND0utrfGPOzvtcnAwt/UQeiHIaG8EAADltHGj9K1vSVddVektQbHUVXoDACCT+nrbtheLSZGkmJ5Kr/jHVHohjGhvBAAA5RSJSO99b6W3AsVEpReAQKs7Hs2nanGcnKztSq/kmV5S7pVeo6OUbyO4ktsbjTG0NwIAACBrhF4AAi1T6DUxUZuVXp5HpRdqg+d5Ce2NEROh0gsAAABZI/QCEGj19XaZrtKrnKFXNGofr9Kh1/i4bfcsRqUXoReCLObF5rQ3MtMLAAAA2SL0AhBortIr1TD7cg+yl2xAVOnQa3jYLqn0Qth58uYMsqe9EQAAANki9AIQaPPN9CpnpZcUrNDLf/XGpiYbAFLphTDxvMSZXrQ3AgAAIBeEXgACLVN7I5Veibd3dFDphXChvREAAACFIPQCEGjp2htnZuxbJSq9RkfL+5jJ0oVenZ1UeiFcaG8EAABAIQi9AARaukqvyUm7pNIrjkovhA3tjQAAACgEoReAQEtX6eVCr1qc6TUyYpdUeiHsUrU3UukFAACAbBF6AQi0dIPsJybsslorvcbHpfe+Vzp0KPevLVal1/S0fSP0QlClam9kphcAAACyRegFINDma2+s1kqvLVukm26S7ror968dGrJL/9Ubpdwrvdz3QeiFoPK8pNBLhvZGAAAAZK2u0hsAAJmka2+s9kov16KYy7qeflr6ylekf/93ux2FVnoReiHoPKWY6UV7IwAAALJE6AUg0NK1N1Z7pVeuodfzz0sbN0qeJ7397dIHPhCvgnM6O+36Jiez+7kQeiHo5sz0or0RAAAAOSD0AhBo6dobw1LpNTo6/32np6V3vMMGWU8+Ka1alfp+HR12OTgoLVo0/3oJvRB0tDcCAACgEMz0AhBoQbt6Y0tL+Su9vvQl6YEHpG98I33gJdlKLyn7uV6EXgg62hsBAABQCEIvAIEW1Ks3Fvq6212Bcb7Q6+mnpc9+Vrr+eumtb818X1fple1cL0IvBB3tjQAAACgEoReAQAvi1Rs9L/74+cq2vfGuu2yV25e+JPle+6dEpRfChvZGAAAAFILQC0CgBfHqjVLhLY7ZtjcODNjl8uXzr5NKL4SNJ29OpRftjQAAAMgWoReAQAtipZeU3QD6THIJvdra5l6pMRUqvRA2npdipheVXgAAAMgSoReAQAt7pdd84dnAgNTdnd06c630co9N6IWginmxOe2NzPQCAABAtgi9AARaukH2la70Kld7Y39/9qFXe7ud+0WlF8KC9kYAAAAUgtALQKCla2+s9kqvbK/emEulVyRiWyGZ6YWwoL0RAAAAhSD0AhBo6dobw1LpVcz2RsnO9aLSC2FBeyMAAAAKQegFINBaWuzy2LHE26u90iuXQfa5hF4dHblVehlT/p8hkC3aGwEAAILBGPNqY8yzxpgXjDEfT/H5y4wxjxljpo0xb/LdfoUx5gnf27gx5o/Ltd115XogAMhHW5tdunZAJyyVXpnW43mlr/RqarLBFxBEye2NRob2RgAAgDIzxkQlfUPS1ZL2StpsjPml53lP++62W9I7JX3E/7We590p6dzj6+mW9IKk28qw2ZKo9AIQcHV1NphJDr0qVenlKs/K0d44MmJnmZWy0st9P0AQJbc3RkyESi8AAIDyu0DSC57nveh53qSkH0t6g/8Onuft9Dxvi6RMsyjeJOm3nufNM+SleAi9AAReW1vqSq9IRIpGy7st5az0Ghiwy1JWejHPC0E2p72RmV4AAACVsELSHt/He4/flqu3SPpRUbYoS7Q3Agi8VKHXxERlZlEVI/SamopXqmWq9Mon9Mq10ovQC0HmeV7iIHtDeyMAAEAJ1BljHvF9fJPneTf5Pk41ECWngzJjzDJJ6yXdmsf25Y3QC0Dgpav0Kvc8L6k4oZer8mpttQP6PS/1XK1CKr3SrdOP0AtB5ylxphftjQAAACUx7Xnehgyf3ytppe/jEyTtz/Exrpf0c8/zpnLduELQ3ggg8NKFXtVa6eVCr0WLbDjlhvIny7fSKxaLP0YmhF4IupgXo70RAACg8jZLOtUYc6IxpkG2TfGXOa7jrSpza6NE6AWgCqRrb6xEpVddnX3L1JY4HxdILV5sl+nWlW+ll5RdiyOhF4KO9kYAAIDK8zxvWtL7ZFsTn5H0n57nbTPGfM4Y83pJMsY77kwWAAAgAElEQVRsNMbslfRmSd82xmxzX2+MWSNbKXZ3ubed9kYAgdfWJu3YkXhbpdobJRsUFaPSy4VeY2NSV9fc+7nQK9Xn0mltm5EU1fa9B7Ry5bKM9x0bs9VmQFDR3ggAABAMnuf9RtJvkm77tO/9zbJtj6m+dqfyG3xfMCq9AARekAbZS8ULvVzglG5dAwP2sXKpxjoW2SdJ+t3TD897Xyq9EGQu3Epub6TSCwAAANki9AIQeEEaZC8Vv9IrU3tjLq2NkhRptj+o/iMz896X0AtB5sKt5PZGZnoBAAAgW4ReAAKvrc0GRTHfa91qrvRyAV42lV65h15DkqT+w/Gn92OTx/QXv/4LDY4PJtyX0AtBlrbSi/ZGAAAAZInQC0DgtbXZ5bFj8dvCUOlVitCrdclBaUGvtt5z8uxtD+17SN985Ju6Z/c9Cfcl9EKQuUqvOTO9aG8EAABAlgi9AASeC738LY7VXOlVyvbG0diQdPa/6cWHzlRfn71taGIoYekQeiHIXBsj7Y0AAADIF6EXgMBLFXpVstKrpSW4lV7DE8PSuT+QN1OnH/3I3pYq9JqZscEhoReCivZGAAAAFIrQC0DghbHSq7lZam21Hxc19JoclpZsVfuJz+v737e3pQq9xsftktALQUV7IwAAAApF6AUg8IJW6VWM0Ku11VaMSanbG8fGbDCVa+jlgq2FF/1ajz8ubdmi2QH2/kH2bvsJvRBUtDcCAACgUIReAAIvbJVew8M29HKBU6p1DQzYZV7tjZKaz/tv1ddLP/hB6kovQi8EHe2NAAAAKBShF4DAC2ulV0lCr0n7Qxqt362rrpJuvdUXek0SeqF6uDbG5Eov2hsBAACQLUIvAIEXxEqvdFdczIYLvZqa7Mep1pVv6OUCruHJYa1cKfX1xcMuKr1QTVxF15yZXlR6AQAAIEuEXgACL6iVXvm+9nahVyRig69SVHoNTwyrp8eu5+gYM71QfWZneiW1NzLTCwAAANki9AIQeAsW2GWQKr1iMWlqKr+vd6GXW1cpZnpNzEyoo2ta09PSkaMzkqj0QnWhvREAAACFIvQCEHiRiA2JXOjleZWv9JLyn+s1MhKvXmtpKU17oyQtaB+XJB0ZiMz5HKEXgo72RgAAABSK0AtAVWhri4dersKqkpVeUv6hl7t6o1tXukqv+vp4lVvW654cVtREJUlN7cckSUNH6+2S0AtVJF17I5VeAAAAyBahF4Cq4A+9JiftsporvVzolanSq7tb8r3ez8rwxLCWti6VJDW02R+YC70GJ+IzvQaPv9vRkdv6gXJJ194oiWovAAAAZIXQC0BV8IdeExN2WalKL1d9dexY7l87NWW3P5tKr1xbGz3P0/DksJa3LZck1S+wlV2jg80yMhqfHtfkjE0MjxyxX9PVlfv3AJRDqvZGF4BR7QUAAIBsEHoBqApBqvRy1VGDg5nvl4oLykoReo1OjSrmxbSifYUkKbLAJluxY11a1rZMUnzQ/ZEjdlaamy0GBE2q9kYXgFHpBQAAgGwQegGoCkGq9HLVUUeP5v61IyN2mU17Y65VWMOT9ge0os2GXl7TgIzxpNEendB+gqT4XK8jR6TOTht8AUGUqb3RBWIAAABAJrzcAVAVglTp1dlpl65FMBcu9HIVVukqvQ4dkhYvzm3drorLtTcemx5SR2dMGuvRyvaVkuJzvY4cobURweaquZIH2Uu0NwIAACA7hF4AqkKQKr1c6JVPpZf7HjK1N87MSAcPSkuX5rZuV8XlKr2GJ4fV3jkljcZDL3+lF6EXgswFW/6ZXrQ3AgAAIBeEXgCqgj/0cnOxmpoqsy2FhF7ZtDf299vga9my3Nbt2htdpdfQxJAWdE5IY+nbG4Ggmp3pRXsjAAAA8kToBaAqtLVJ4+PS9LS0c6e9bc2aymxLQ4MNqwppb8xU6dXba5e5Vnq59sau5i411TVpeGJYLe1jKWd6HT1KpReCjfZGAAAAFKqu0hsAANlwM7CGh6UXXrDvn3RS5bans7M4lV6pQq8DB+wy3/bGtoY2tTe2a3hyWE1tx+xMr45xSdLgODO9UB1obwQAAEChCL0AVIXk0GvFClttVSldXcVrb5yashVsdcefkV2lV77tje2N7WpraNPQxJDqW4ek0VO1st2GBUMTQ/I8Qi8EH+2NAAAAKBTtjQCqgj/02rFDOuWUym5PZ2fxrt4oJVZ7udBryZLc1u3aG9sa29TW2KbhyWHVtQ5KU63qqFusukidhiaGNDpqgzZCLwQZ7Y0AAAAoFKEXgKqQXOl18smV3Z5C2xsXLLDLVKHXgQO2EsxVg2VraGJIRkYL6hfY9saJYZmWAfu4g41qb2zX0MTQbFhH6IUgc8FWqkov2hsBAACQDUIvAFXBhV4HDthKqEpXeuXb3jg8bK866VoZXYum/wqOvb25tzZKtr2xrbFNxpjZ9kY190uyV4Rsb2zX4MQgoReqggu2Us70otILAAAAWSD0AlAVXOj15JN2WenQq5D2Rn8FV7pKr1yH2Eu2vbGtwf6gXHvjdNNBSfHQi0ovVIvZmV4p2huZ6QUAAIBsEHoBqAou9Hr8cbsMQug1OCjFcnztPTQU/16k9DO98gm9hiaH1NZoV97eYNsbpxtt6HX4sNTR2EHohapBeyMAAAAKRegFoCokh16VnunV1SV5nm1XzMWePfbKk05R2xsnhtXe2C7JVnoNTQxpomG/JCq9UH1obwQAAEChCL0AVAUXeu3ZIy1aJLW3V3Z7OjvtMte5Xrt2SatXxz9OrvQaHbXVYHm1N0762hsb2jQ2Pabh6E5JzPRC9aG9EQAAAIUi9AJQFZqapGjUvl/p1kYpHnrlMtdrelrauzdz6NXba5d5z/RqjM/0kqQDEy8q2jiRUOl19KhkjNTRkftjINiGJoY0MDZQ6c0oCtobAQAAUChCLwBVwZh4tVcQQi9XJZVLpde+fdLMjLRmTfy25PZGF3rl0944NDE0297olkfHj6q5/Zj6+xNnenV0SBH+A4TOu3/xbr32P15b6c0oChdspar0or0RAAAA2eAlD4CqEaTQK5/2xl277DJTpdeBA3ZZjPZGZ0H7+Gyl1/j0uPoHZkLX2vj4gce1e3B3pTej4h7c+6A279+ssamx+e8ccC7YSjnTi0ovAAAAZIHQC0DVCGLolUt7Y6bQK7nSK9fQy/M8297YkNjeKEltnZOzoZck9fXPzG5/GHiep2v/41p96NYPVXpTKqp/tF/7hvdpOjatLQe3VHpzCjY70ytFeyMzvQAAAJANQi8AVcOFXpW+cqOUX3vjzp12uWpV/DbX3uif6RWJ2GH9uZiYmdBUbGo27HIBlyS1d00nhF79A7GyVno90fuErvrhVRqeyPFSl1naPbhbvSO9emjvQyVZf7V46tBTs+8/euDRCm5JcdDeCAAAgEIRegGoGkGq9Gpvt3PGcm1vXLIkXt0lpW5vXLw4PrQ/Wy5QcsGWv72xqzuWEHodOVLeKzf++5Z/1+9f+r3u3nV3Sda/ef9mSdK+4X06MHygJI9RDVx1V3Ndsx7Z/0iFt6ZwtDcCAACgUIReAKpGW5ttK+zurvSW2Gqs9vbc2xv9rY2SVFcn1dcntjfmO89LUsr2xp4eu51tDfZyjYNHTVlDr3t232OXu+4pyfo379scf3//5gz3DLctB7doYctCXb7m8lBUetHeCAAAgEIRegGoGtdfL33wg7bCKgi6unJvb/RfudFpbk6s9Mr3yo2SUrY3Ll4YVSwmmXGbdA0P1pUt9Do2eWw2gHHhV7E9vP9hrV20VlETTQjAas2Wg1t09pKztWHZBm07tK3qh9nT3ggAAIBCEXoBqBpveYv0mc9UeiviOjuzD71iMWn37rmVXlJi6JV3pVeG9sYli+okSTPHOqWpJk1NRssWej207yFNx6a1fvF6PbL/kaIHMTEvpkf3P6rLVl+mtYvX1myl10xsRlsPbdXZi8/W+cvP14w3oycPPlnpzSpIqvZGF4DR3ggAAIBsEHoBQJ46O7Nvbzx4UJqcTB16tbTY9sZYzN6vGO2NjXWNqo/US5KWLWmQJE0Ot0vj9rKN5Qq97tl1j4yMPnbJxzQVm9LD+x4u6vqfPfyshieHdcGKC7Rx+UZt3r+5JgORHUd2aGx6TGcvOVvnLztfkqp+rleq9sbZmV5UegEAACALhF4AkKdcKr3clRsztTcePizNzBSnvVGKV32dtsZOyz+ws00as2lX2UKv3ffo7CVn69pTr5WRKXqLo6vs2rh8ozYu36iBsQG9eOTFoj5GNXjqoL1y49lLztYJ7Sdo8YLFVT/XK1N743wzvfpH+/XAngdKt3EAAACoChUJvYwxf26MeckYM26MedQYc2kltgMACpHLTK9du+wyU3tjb6/9uBjtjVI8ANt4Xou6u6X7761XdGLR7LaX2tTMlB7Y+4AuXXWpupq7tG7xuuKHXvs2a0H9Ap2x8AxtXLHR3laDLY5bDm5RxER01qKzZIzR+cvOr/pKL1fNlWqQfaZqvpgX0xt+/AZd8q+XEHwBAADUuLKHXsaYP5H0T5K+KOk8SfdL+q0xZlW5twUACpFLe2Om0KulRbrrLumyy+zHK1bkvi3J7Y3u/aa6JjXVN2jTJunOO42aZ5ZLKk/o9UTvExqdGtWlq+15jUtXXar799yv6dh00R5j8/7NOn/5+YpGolq/eL0ao401Ocx+y6EtOq3nNDXX26q+Dcs36Om+p7Xt0Dbdv+d+HR49XOEtnGsmNqO/+PVf6ILvXKADwwfmfN4FW/6ZXtm0N377kW/rvj33qaW+Re/+5bs1Pj1e5C0HAABAtahEpddfSvq+53nf8TzvGc/z3i/pgKT/VYFtAUpuaGKoqC/yq8HwxLD2Du3VxPREpTelpDo7pWPHpKmp+e+7c6fU3S21tc393HXXSRs3Sn/6p9J3viNdeGHu2+IqvVobWmdva29sn638uuIKG7zV9dpqqFKEXsMTw/rCH76gjd/ZqK888BXd/uLtkmzYJUmXrr5UI5MjerK3OAPWJ2cm9UTvE9q43H5P9dF6nbv03NlKr8HxQU3NZLFzjvM8r2rngbkrNzoblm9QzItp3b+s0yX/eonO+H/P0O92/K6CW5hoJjajd/3iXfrmI9/UE71PaNMPNmn/8P6E+8zO9MqhvXHv0F597PaP6eqTrtbN19+s7Ye36/N3f75E30WwjU2N6Z8e/Ce97kev07ce+ZaOjudwqdkymY5N5/Q3CgAAkKu6cj6YMaZB0vmS/iHpU7dJuric21IpH7ntIzo6flTHpo5pYnpCERNRNBK1SxNVNBKVkZExRhFFZIyRkVHExN93S0kJtyVL9eIt1dnxVPeLeTEdmzqmkckRRUxEbY1tWlC/IKHNpFAN0Qa1NrSqub5Z07FpTc5ManJmUhPTEylDovHpcR08dlCHRw+rtaFVS1uXqqW+RYMTgxqeGFY0ErVVLXVNaow2JiyNMZqambIH2DG7dC+a/N+//+eT7va6SJ3OWnSWNi7fqGgkqqcOPqXnB57XxPTE7LqnY9MaGBvQYwce00tHX9KC+gXauGKjTu85XRMzE7NXsItGooqaqOoidbP7P2qiWe/vTJ+fnJlU/1i/jowdUcRE1FjXqMaofauL1KlvtE+9I7afbmnrUi1sWaiYF9PkzKSmYlOanJlUzIupraFN7Y3tipro7M/B8zx58uYsx6fH9eiBR7Xl4JbZn29XU5dO6jpJp3Sfop7mngJ/a+ZK9btfiJgX08DYgA4eOyhJWta6TIsXLJ79/mNebPb7fWL/pZLerBt++lE1tY9I0uy+m5ie0Oj0qKZmptQQbdBdD/+VIp2d+sBv/1F1kcSnXu8MTy/7hH3/aUkf+V3i32Q2f7f37rlXC+oXKBqJzt7W1timjsYOSTb0kqTxrddKkt592xs184dDaqlvUWtDq4zM7D5vbWhVW0Ob6qP1CY/h//t3P4uYF9OMN6Pp2LR++/xv1T/WrzMWnqEP3/ZhSdLJXSdrWZsdUubCr4///uM6c+GZ6XdCiu8vlcGJQU3MTMyGXpKd7XXTYzfptH8+Tc8PPK/mumZtXLFRaxetVcyLJTwHzMRm5MnT1MyUdh7dqef6n5MxRusXr9dZi85SU12TJOm6M6/TFSdeMfsYN957ox7vfTzh+aY+Wq89Q3v0TN8zOjp+VCd2nagTO09U1EQ1MTOhGW8m4W/cve+e+/P9PfY8TzPejF488qLefe67Z29/zSmv0bdf+2011TWpvbFdn7rzU7rm367RRy/+qJa2LlX/WL8mpidS/h279bp93D/Wr96RXh0dP6rx6XFNx6a1tHWpVnesVldTV17b/szhZ3T7i7frC1d8QZvWbNKr//3Vuvz7l+vVJ79ax6aOaSo2pYGxAUmp2xv/9p6/VXtDuw6NHtKuo7s0ODGole0r1Tfap+nYtL712m/ppK6T9M5z36kb77tRD+17SH2jffI8T6s6VumE9hMUNVH7e3D893fGm4n/L/b9P3bPh8aY2edr95w9ux+Sfo6pbpvz/Hn8447GDi1vW67Opk4NjA3o8OjhgoOg6di0frb9Z+od6dXytuX61XO/0odu/ZDOXXqunfnWsjihgq4cPHmzz4uHRw9rx8AO7Rrcpf9803/qjWe+sazbAgAAaocp51ltY8xySfskXe553h98t39a0v/0PO/0pPvfIOkGSWpoaDh/YqL6q0ZWfXWVZrwZLahfoMa6xtkXLDOxmdml/wDZ/wLb/740N3hIFUilejGSzf2MjFobWrWgYYFmYjManhzW6NRokX4K1uTMpEYmRxJua4w2qiHaoLpI3Zxtaog2aMmCJVrYslAjkyPqHenV2PSYOps61dbQpunYtCZmJjQ+PT7nTZLqI/Wqi9SpPlo/5wVLqkqCdLePT4/ryHhiT1tdpE5NdU2zL4bqI/VqbWjVOUvP0blLztXBYwf14N4H9dLRl9RS32KDOJnZF1ozsZmE92NeLP0LpRQvqFJ9vi5Sp56WHnU1dc2+2JiYmZgNFRe2LNTSVjs8qnekV4dHDysaiaoh2jD7JkkjkyMamhjSTGwmbcDmlnWROq1fvF6XrLxEy9uWq2+0T/uH9+vFIy/q+YHnZ4etF0upnr+6m7u1eMFiGWN0YPiADh07pJgXmxNGTj72Jxr9z2+p66MXqm7RS3abjv+tNkYbtaBhgeoidZqamdKuL/5akYU71Py2P9V0bDrt75yU+u8xm89dsuoS3fLWW2Y//t7j39O+4X36m8v+Rp5nZ4UdOnT8vt+9XE319RqdGp1tjWyINsjIaGRyRMOTw5qJzcyuK1Xw5gJaF96sXbRWn77807pgxQW646U79Pk/fF6vOulV+sSln5j9mmv+7Zqs2w+zCVM6Gjv0wHse0JLWJZKkO166QzfccoPWLV6nC1ZcoEPHDumBvQ9ox8CO2b9P9zwQMREZGUUjUa3uWK3Tek5TzIvpyYNP6tnDz2o6Nq3hyWGtXbRWj733MUnSwNiAFn15kRa2LFRzXfPsc8zEzISWty3XmQvPVFdzl1468pJ2De6a/blGTXTOc70LDP0/53y4wP/nf/JzbVi+IeV9jk0e05/d8mf60dYfSbLhrAv1kv+O/X/jERNRd3O3lixYoq7mLjXXNSsaierA8AHtGtylwfHBvLf5E6/4hP7yor+UJN2/53695ea3aGRyRK0NrfbvJjalxmijbn/77VrTuUaS9PiBx3XNv12jqdiUoiaqnpYere5Yrc6mTu0Z2qM9g3v0yUs/qf+10RaPHxk7orf9/G06MnZEixbYeXa7B3dr39A+efISQqyIiSTsExfqNkQbZgNgd1LDPWe7n1Oqn+N8P1v3/tHxo7N/g5LUXNesxrrGvH6ufhuWb9CnLvuULl11qR478Jh++OQPta1vm/YO7VXfaF/B689HY7RRzfXN6mrq0sndJ+vkrpP11nVv1fol6yuyPQAAwDLGjHqet6DS21EKlQq9LvM87x7f7Z+R9FbP885I97ULFizwjh07VoatRDnFvJgmpidUH60vqNohk1RXACt0fXuH9uqR/Y/Ik6f1i9frpK6TEipsUBtuuUV6/eulhx+27YmSvQLjW98qve990hveYG/zPKm1VbrhBumrX63c9r7lLdJPfiK1t0uD+WUVNeeL93xRn7zjk+r9cK+WtC7RzU/frDf/9M2691336pJVl1R683LieZ72D+9XS32LOpo6yl7pg/SGJ4Y1ODGo7uZutdS3VHpzAABAjQlz6FXuI97DkmYkJV+bbLGkg2XeFgRAxETUXN+csrKrWIxJ3f5ZyPpWdqzUG898o/7Hmf9Dp/acSuBVo9xcLHcFx7ExG4Ldfrt0443x++3ZI42OSmvWlH0TE7gWx87Oym5HNXnVya+SpNn5ZL/b8Tu1N7brghUXVHKz8mKM0Yr2Fepq7iLwCpi2xjad0H4CgRcAAECRlfWo1/O8SUmPSro66VNXy17FEQCqhguPjhyRYjHpHe+QHnhAeuUr7XL3bvv5//gPu/yjP6rMdjou9CrHlRvD4mXLXqae5h7duuNWeZ6n2168TVesuWLOvDMAAAAAwVOJU71fkfROY8z/bYw50xjzT5KWS/pWBbYFAPLmQq+jR6XPfU766U+lL39Z+va37e0//altbfze96RLL5VOOaVy2ypJp54qLV9uryKJ7ERMRFeffLVu23GbXhh4QTuP7pyt/gIAAAAQbGW9eqMkeZ73E2NMj6S/kbRM0lZJ13qet6vc2wIAhXAVUzffbFsa3/EO6cMfloyRzj/fzs96+cul556TPv7xym6rZLfrppuk5uZKb0l1edVJr9KPt/5Y//jAP9qPCb0AAACAqlDWQfaFYJA9gKDxPKmhQZqeltavlx58UGo5PpLny1+W/uqvbKvjgw9Kvb12mD2qz76hfTrhqycoaqJa2bFSL/7vF0s2gxAAAAAoNwbZAwDmMMa2OLa12WqvFt8M6uuvt8vf/96+T+BVvVa0r9DaRWs1483oVSe9isALAAAAqBKEXgBQgC9+Ufrv/5ZOOy3x9tWrpQsvtO+/613l3y4U1zUnXyNJuvrk5OuwAAAAAAiqss/0AoAw+bM/S/+5j33MDrN/xSvKtz0ojXee+05t69vGPC8AAACgijDTCwAAAAAAoEYx0wsAAAAAAACoIoReAAAAAAAACB1CLwAAAAAAAIQOoRcAAAAAAABCh9ALAAAAAAAAoUPoBQAAAAAAgNAh9AIAAAAAAEDoEHoBAAAAAAAgdAi9AAAAAAAAEDqEXgAAAAAAAAgdQi8AAAAAAACEDqEXAAAAAAAAQofQCwAAAAAAAKFD6AUAAAAAAIDQIfQCAAAAAABA6BB6AQAAAAAAIHQIvQAAAAAAABA6hF4AAAAAAAAIHUIvAAAAAAAAhA6hFwAAAAAAAEKH0AsAAAAAAAChQ+gFAAAAAACA0CH0AgAAAAAAQOgYz/MqvQ1ZMcbEJI0VsIo6SdNF2hwEB/s1nNiv4cM+DSf2azixX8OHfRpO7NdwYr+GTzXs02bP80JZFFU1oVehjDGPeJ63odLbgeJiv4YT+zV82KfhxH4NJ/Zr+LBPw4n9Gk7s1/Bhn1ZWKJM8AAAAAAAA1DZCLwAAAAAAAIROLYVeN1V6A1AS7NdwYr+GD/s0nNiv4cR+DR/2aTixX8OJ/Ro+7NMKqpmZXgAAAAAAAKgdtVTpBQAAAAAAgBpB6AUAAAAAAIDQKWroZYz5hDFmszFmyBjTZ4y5xRizLuk+xhjzWWPMfmPMmDHmLmPM2qT7fNIYc58x5pgxJmX/pTFmozHmdmPMEWPMUWPM740xF2SxjZcbYx41xowbY140xvw/SZ//rDHGS3rrzWK9Nxhj7jy+LZ4xZk2K+7zMGPO74/fpN8bcZIxpnW/dlVar+9UY022M+WdjzPbj39MeY8y/GGN6cv2+goj9mn6/GmMixphfGmN2H3/sA8aYfzPGrJhvmyuJfTrv3+rOFOv++/m2udLYrxn/VjelWK97e/N8210p7NN5/1Y5Xqqi/Xr8675jjNlx/HvqM8b8whhzZq7fVxCFYb8ev88yY8wPjn8P48aYp40xl8+z3sbjf7OHj2/3L40xJ/g+f44x5kfH/5bHjDHPGmM+aowJdGEF+zT9Pk2670JjzL7jzwML59vmSmO/zr9fjTFvM8Y8cXy9h40xP5xvm8Og2E9ImyR9U9LFkq6UNC3pdmNMt+8+fyXpw5LeL2mjpEOSfmeMafPdp1HSzyR9LdWDGHvg8/9J2n/8sS6SdEDSrUnrSf66EyX9RtL9ks6T9HeS/tkYc13SXZ+VtMz3tn6e71uSWiTdJumzaR57uaTbJb0o6UJJr5a0VtL3s1h3pW1Sbe7X5ZJWHP/e1kt6m6TLJP0o6X4Zv68A2yT2a6b9eoek6yWdLuk6SSdJ+vk86660TWKfZtqnkvS5pHV/YZ51B8EmsV/T7df7k9a57Pjjj0j67Tzrr6RNYp+m3KccL0mqvv0qSY9IeqekMyVdI8nIfu/12X5fAbZJVb5fjTGdku6T3S9/JLuf3n98OzP5muwx0FslXSqpXdKvjDHR458/X1KfpP9L9u/0M5I+Lenj86y30jaJfZpun/p9T9IT86wvSDaJ/Zp2vxpj/rekL0v6B0nrJF0h6RfzrDccPM8r2ZukVkkzkl53/GMj+wvxSd99miUNS3pviq9/k93EObdvkORJOtF324nHb9uQYXtulPR80m3flfSA7+PPStpawPfstm1N0u03SDosKeq7bf3x+55Syv3Afi18v/rWc62kmKT2bL+vanljv6ber777vP74NjdVel+xT/Pbp5J2SvpIpfcL+7W4+zXFfZ6VdFOl9xP7NL99Ko6XwrJfzz6+Padn+31Vy1uV7tcvSrovx++zQ9KkpP/pu23l8b/XazJ83ZckPVrp/cQ+LWyfSvqApN/Lhkfe/9/e2ZA8kXUAAAg7SURBVMbYUVZx/HcKtrUWoqYpa0JLWt6aYiIWSZQ2YRG3imIiNL6kRquCxrDYWINBxQ9N/CLRIKCmJBJfodYSIuALGo0b0VKqCGIsRTCuWEtbImC19MWKxw/nud3Zu3fmzl3u7p25+/8lk90788yZ58z/mTtzz5zneYAFvdZJuk5eV+DlwPPAUK916cUy1amnJxHZZM+lz0uAASIjCgB3PwzcR0RJy/In4q3CFSmVbw7wYeBvwM6C/d6QPXbip8Drmt5ELU2pnKNmtsXMlnZQtzzmAMfc/YXMusPp76ou2J9OZrKuJwNHgUOT2LfqSNccXdMbovcCO9z9yCTs9wppOlHTayy6S/3eIn199iRs9xrpmn+tDgJnUb+pwaXpmKZ6XmpPpXU1s5cBH0z1+Wsn+9aEOur6DmCHmX3PzJ5O98CrzcwK7J4HvKTJr93ArjZ+nczYuakL0jTjl5m9FrgWeD8ROKkr0nXMr9XACcApFt0l95jZ97sU56g8Ux30uolIidyePg+kv/ubyu3PbGuLu/+bSF98N/GQdCj9P5Qabh4DOcc+EWj0U95BpGdfQjTeAeB+axpvYhL8AlhgZp8ys9lm9gqgMZbMq16k7elmRuqa0k0/B3zN3f9bdr8aIV2bdDWz683seeAZYDFwaVm7FUGajtf0ZiLt+yLgK8AGIg2+bkjX/O/gjwCPuPuDZe1WBGk6pqmel9pQVV3N7CozO0h0L74EuNjdj5bzqlbUUdelwFVEt+E3Jx8+Dwy3sfsCkXnZbLulX2a2gmg/mwrsVhFpmvxKQevvAh9z9z0FtuqAdB3zaykR+/ks8AngMiJQNmJm8wps9wVTFvQysxuIN3Jrmt7WQaT+jSveYl2R7ZcCXyca8OuBlcDDwN3pQsXMDmaWW9oc+/h6d7/X3be6+x/c/efEj9xZwLpk9zNNtheXqbO770w2Pk5cGPuAUaIxNp+fyjJTdU3H/wGwh+gL3ldI11xdv0D0uV9NXKe3tXnTUhmk6URN3f0Gdx9Jtm8lHiqu6MJLjWlDuuZ/B1tkZF5OzbK8pOl4TfW8VMp2VXW9nbhnXgg8DtzRbz+m6qoroeFD7v5pd3/Y3b9BvAgaTnY7+X3T0i8zOxv4EXCju99Z1u9eI00n+HUz0b2uNhq2QrpO8GsWEeRa7+4/cfffEL1YFgJvL+t7XTlxKoya2ZeA9wAXuftfMpsas78MALsz6xcyMepZxFrgdGBloxGb2VoidfEy4Dbg3Ez5f2WO3xzFXUgMcvdMqwO5+0Ez2wmcmVbdAmzNFHmqbKXdfTOw2cxOIfrUOhFpHS1ro5fMVF0tBiv8cfp4ac26t7VFugI5urr7P4i3Jo+b2S7iPKwCflXgb8+RpkC5a3VH+ntG3vGrhHQFinVdR3TDuD1ne+WQpkALTfW81JZK6uruB4ADwBNm9kCqzxrgOx34Vllqrute4NGmMruIcZugta77iO5QC4iuXFnb92UNmdkyYATY4u5VH8T+ONJ0nO2GphcDi8xsXfrcCMrsM7Pr3f26An8rgXQdZ7uh697097htdz9gZk8RvVn6mq4HvczsJqKRDbr7Y02bRwlRhoDfpvJziRkGPtnBYeYRD0DZPsb/S+tmAbj7n1vst53oJ5tlCHjQ3Y/l+DMXaHyR4+7PAs92UNcJuPv+ZPtDwBHgZy/G3nQwU3W1mIHjXuIL/y3ufrADfyqPdO1I10Zm7JwSZXuGNO1I08YDyd7CUhVAupbS9Upga/rhXXmkaXtN9byUS+V0bbVrWip9zyxLH+i6jZiNOstZwJPJ7gRdzex3wLFka3Nadyoxm9z9mXLLiW7JW919Qwk/K4E0zdV0NZAd7/R8IqtpEHgiz9GqIF1zdd2W/p4N/D2VmU8MG/BkkbN9gXd3hoSvEpHMNxJRzMYyP1Pm2lTmcmKqzC1EhPKkTJnFxI+Ra4jGc25a5qfty4iHn02EmOcQb5EOAKcW1G8J8cbwxrTflcRMB2syZb5IpGUvIabK/mGq72ltfB9IdVyb6vzW9PmVmTJXAyuIhjtMpO2v76YGU7HMVF2JwQ+3EwMSntnk++yyflV1ka75uhIDTQ4DrwFOS+doG3GzrOzsjdK0raYbkh9LgHcR3aru7rVu0nXyumbKrko+rey1XtK0K/dVPS/VS9czkl/npbpfANxDZD0MlPWrqkuf6Ho+8aP4uqTXO5Pd4Ta+byLulW8iuq6OEGMknZC2n0NkyGxpOjcDnZxjaVodTVuUH0y+VX72RularCtwF/BHojvmcuAOYrKReb3WbsrbRpcbmucsGzNljJgOeW9qLL8EXt1k55s5dgYzZYaAXwP/JG6qI8AFJep4IfAQMVPQKPDRpu2Nhv+f1HDuBJaXsLsxp84fyJT5NpG6eBR4BHhfrxuAdC20OVjg+2AnflVxka75dSZubCOZ63WUuJnk3siqsEjTQk1XAA+k+h4GHkvnofI3euna/vsV+BbwaK+1kqZdu6/qealeui4isveeTvvtJroZL+vUryou/aBrKvO2dD0dIcZcWw9YG7tzgS+n6/EQMQ7fosz2jXnnp9e6SdPJadqi/GDyqQ5BL+laoCvx4ulWIlPsuVTm9F7rNh2LpRMghBBCCCGEEEIIIUTfMGWzNwohhBBCCCGEEEII0SsU9BJCCCGEEEIIIYQQfYeCXkIIIYQQQgghhBCi71DQSwghhBBCCCGEEEL0HQp6CSGEEEIIIYQQQoi+Q0EvIYQQQgghhBBCCNF3KOglhBBCCCGEEEIIIfoOBb2EEEIIIYQQQgghRN+hoJcQQgghhBBCCCGE6Dv+D0jKKp+e8i9ZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12b2baa20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(figsize=(20,10))\n",
    "ax1.set_title(\"Crypto currency evolution compared to twitter sentiment\", fontsize=18)\n",
    "ax1.tick_params(labelsize=14)\n",
    "ax2 = ax1.twinx()\n",
    "ax1.plot_date(tweets_grouped.index, tweets_grouped, 'g-')\n",
    "ax2.plot_date(crypto_usd_grouped.index, crypto_usd_grouped, 'b-')\n",
    "\n",
    "ax1.set_ylabel(\"Sentiment\", color='g', fontsize=16)\n",
    "ax2.set_ylabel(f\"{CURRENCY_SYMBOL} [$]\", color='b', fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation analysis\n",
    "Here we make the correlation analysis between BTC/USD currency derivative and the tweets scores derivative.\n",
    "\n",
    "We can test our correlation hypothesis using the Pandas corr() method, which computes a Pearson correlation coefficient for each column in the dataframe against each other column.\n",
    "\n",
    "This Stackoverflow answer gives very useful details about correlating with time series.\n",
    "https://stackoverflow.com/questions/6467832/how-to-get-the-correlation-between-two-timeseries-using-pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define the cross-correlation function\n",
    "\n",
    "def crosscorr(datax, datay, lag=0, method=\"pearson\"):\n",
    "    \"\"\" Lag-N cross correlation. \n",
    "    Parameters\n",
    "    —------—\n",
    "    lag : int, default 0\n",
    "    datax, datay : pandas.Series objects of equal length\n",
    "\n",
    "    Returns\n",
    "    —------—\n",
    "    crosscorr : float\n",
    "    \"\"\"\n",
    "    return datax.corr(datay.shift(lag), method=method)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Crop the time series to match the time frames"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "beggining = max(tweets_grouped.index.min(), crypto_usd_grouped.index.min())\n",
    "end = min(tweets_grouped.index.max(), crypto_usd_grouped.index.max())\n",
    "tweets_grouped = tweets_grouped[beggining:end]\n",
    "crypto_usd_grouped = crypto_usd_grouped[beggining:end]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a3b4ff748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(figsize=(20,10))\n",
    "ax1.set_title(\"Crypto currency evolution compared to twitter sentiment\", fontsize=18)\n",
    "ax1.tick_params(labelsize=14)\n",
    "ax2 = ax1.twinx()\n",
    "ax1.plot_date(tweets_grouped.index, tweets_grouped, 'g-')\n",
    "ax2.plot_date(crypto_usd_grouped.index, crypto_usd_grouped, 'b-')\n",
    "\n",
    "ax1.set_ylabel(\"Sentiment\", color='g', fontsize=16)\n",
    "ax2.set_ylabel(f\"{CURRENCY_SYMBOL} [$]\", color='b', fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a078550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a048668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a5b3d3940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#tweets_grouped.T.corr(crypto_usd_grouped, method='pearson')\n",
    "#tweets_grouped.T.autocorr(crypto_usd_grouped, lag=20)\n",
    "xcov = [crosscorr(tweets_grouped, crypto_usd_grouped, lag=i, method=\"pearson\") for i in range(-20,20)]\n",
    "plt.plot(range(-20,20), xcov)\n",
    "plt.title(\"pearson cross-correlation\")\n",
    "plt.xlabel(\"lag\")\n",
    "plt.ylabel(\"correlation\")\n",
    "plt.show()\n",
    "\n",
    "xcov = [crosscorr(tweets_grouped, crypto_usd_grouped, lag=i, method=\"kendall\") for i in range(-20,20)]\n",
    "plt.plot(range(-20,20), xcov)\n",
    "plt.title(\"kendall cross-correlation\")\n",
    "plt.xlabel(\"lag\")\n",
    "plt.ylabel(\"correlation\")\n",
    "plt.show()\n",
    "\n",
    "xcov = [crosscorr(tweets_grouped, crypto_usd_grouped, lag=i, method=\"spearman\") for i in range(-20,20)]\n",
    "plt.plot(range(-20,20), xcov)\n",
    "plt.title(\"spearman cross-correlation\")\n",
    "plt.xlabel(\"lag\")\n",
    "plt.ylabel(\"correlation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Normalize \n",
    "First we need to normalize the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11ef0a5c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Normalize time series data\n",
    "tweets_grouped = tweets_grouped / max(tweets_grouped.max(), abs(tweets_grouped.min()))\n",
    "crypto_usd_grouped = crypto_usd_grouped / max(crypto_usd_grouped.max(), abs(crypto_usd_grouped.min()))\n",
    "\n",
    "fig, ax1 = plt.subplots(figsize=(20,10))\n",
    "ax1.set_title(\"Normalized Crypto currency evolution compared to normalized twitter sentiment\", fontsize=18)\n",
    "ax1.tick_params(labelsize=14)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax1.plot_date(tweets_grouped.index, tweets_grouped, 'g-')\n",
    "ax2.plot_date(crypto_usd_grouped.index, crypto_usd_grouped, 'b-')\n",
    "\n",
    "ax1.set_ylabel(\"Sentiment\", color='g', fontsize=16)\n",
    "ax2.set_ylabel(f\"{CURRENCY_SYMBOL} normalized\", color='b', fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a4eb95400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#tweets_grouped.T.corr(crypto_usd_grouped, method='pearson')\n",
    "#tweets_grouped.T.autocorr(crypto_usd_grouped, lag=20)\n",
    "xcov = [crosscorr(tweets_grouped, crypto_usd_grouped, lag=i) for i in range(-20,20)]\n",
    "plt.plot(range(-20,20), xcov)\n",
    "plt.title(\"lag's impact on correlation (normalized)\")\n",
    "plt.xlabel(\"lag\")\n",
    "plt.ylabel(\"correlation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate derivative\n",
    "\n",
    "The derivative is calculated to define an increase or a decrease of the crypto currency.\n",
    "\n",
    "The score is as well derivated to observe the increase or decrease of the score.\n",
    "\n",
    "Computing the derivative could help to find a correlation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Derivative\n",
    "tweets_grouped = pd.Series(np.gradient(tweets_grouped.values), tweets_grouped.index, name='slope')\n",
    "crypto_usd_grouped = pd.Series(np.gradient(crypto_usd_grouped.values), crypto_usd_grouped.index, name='slope')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x12aa51898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(figsize=(20,10))\n",
    "ax1.set_title(\"Derivative of crypto currency and sentiment's score\", fontsize=18)\n",
    "ax1.tick_params(labelsize=14)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax1.plot_date(tweets_grouped.index, tweets_grouped, 'g-')\n",
    "ax2.plot_date(crypto_usd_grouped.index, crypto_usd_grouped, 'b-')\n",
    "\n",
    "ax1.set_ylabel(\"Sentiment's derivative\", color='g', fontsize=16)\n",
    "ax2.set_ylabel(f\"{CURRENCY_SYMBOL}'s derivative'\", color='b', fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12ac97940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11b315c50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a39eeee10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xcov = [crosscorr(tweets_grouped, crypto_usd_grouped, lag=i, method=\"pearson\") for i in range(-20,20)]\n",
    "plt.plot(range(-20,20), xcov)\n",
    "plt.title(\"pearson cross-corelation (derivative)\")\n",
    "plt.xlabel(\"lag\")\n",
    "plt.ylabel(\"correlation\")\n",
    "plt.show()\n",
    "\n",
    "xcov = [crosscorr(tweets_grouped, crypto_usd_grouped, lag=i, method=\"kendall\") for i in range(-20,20)]\n",
    "plt.plot(range(-20,20), xcov)\n",
    "plt.title(\"kendall cross-corelation (derivative)\")\n",
    "plt.xlabel(\"lag\")\n",
    "plt.ylabel(\"correlation\")\n",
    "plt.show()\n",
    "\n",
    "xcov = [crosscorr(tweets_grouped, crypto_usd_grouped, lag=i, method=\"spearman\") for i in range(-20,20)]\n",
    "plt.plot(range(-20,20), xcov)\n",
    "plt.title(\"spearman cross-corelation (derivative)\")\n",
    "plt.xlabel(\"lag\")\n",
    "plt.ylabel(\"correlation\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Realtime correlation viewer\n",
    "We can stream the new tweets about the crypto using the TwythonStreamer module. \n",
    "\n",
    "Using the CryptoCompare API we can also retrieve the crypto currency in realtime using sockets.\n",
    "\n",
    "Finally we can plot it with Plotly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ZIL\n",
      "1528298760\n",
      "2018-06-06 17:16:00\n",
      "2018-06-06 17:26:00\n",
      "(11, 5)\n",
      "range= 2018-06-05 22:46:00 2018-06-06 17:26:00\n",
      "6450\n",
      "df_to_fulfill (1121, 5)\n",
      "df_remaining (0, 5)\n",
      "done\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.6/site-packages/pandas/core/indexing.py:194: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ],
      "text/vnd.plotly.v1+html": [
       "<script>requirejs.config({paths: { 'plotly': ['https://cdn.plot.ly/plotly-latest.min']},});if(!window.Plotly) {{require(['plotly'],function(plotly) {window.Plotly=plotly;});}}</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data/crypto/ZIL/2018-06-01 11-21-00~2018-06-06 17-26-00.csv\n",
      "df shape (500, 5)\n",
      "from 2018-06-06 09-07-00 to 2018-06-06 17-26-00\n"
     ]
    },
    {
     "data": {
      "application/vnd.plotly.v1+json": {
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# update historical data until today\n",
    "file = open(\"current_crypto.txt\", \"w\") \n",
    "file.write(CURRENCY_SYMBOL)\n",
    "file.close()\n",
    "%run 03_CryptoCurrencyExtraction.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_most_recent_data_from_csv(folder, n_rows):\n",
    "    '''\n",
    "    @ folder : relative path where the data is contained\n",
    "    @ n_rows : the number of rows to retrieve up to the most recent ones\n",
    "    \n",
    "    Return a dataframe containing n_rows of the most recent data retrieved\n",
    "    '''\n",
    "    files =  glob.glob(f\"{folder}/*.csv\")\n",
    "    files = sorted(files)\n",
    "    df = pd.DataFrame()\n",
    "    for file in reversed(files):\n",
    "        print(file)\n",
    "        df = df.append(pd.read_csv(file))\n",
    "        if df.shape[0] > n_rows:\n",
    "            break\n",
    "    return df.sort_values(by=['time']).tail(n_rows)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data/crypto/BTC/2018-06-01 07-42-00~2018-06-06 09-56-00.csv\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~SebastienRichoz/96.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "from datetime import datetime, timedelta\n",
    "from time import sleep\n",
    "import plotly.tools as tls  \n",
    "\n",
    "# Get stream id from stream id list\n",
    "stream_id_crypto, stream_id_tweets = tls.get_credentials_file()['stream_ids'][:2]\n",
    "\n",
    "# Make instance of stream id object \n",
    "stream_tweets = go.Stream(\n",
    "    token=stream_id_tweets,  # link stream id to 'token' key\n",
    "    maxpoints=1500      # keep a max of 80 pts on screen\n",
    ")\n",
    "\n",
    "stream_crypto = go.Stream(\n",
    "    token=stream_id_crypto,  # link stream id to 'token' key\n",
    "    maxpoints=200      # keep a max of 80 pts on screen\n",
    ")\n",
    "\n",
    "# Initialize trace of streaming plot by embedding the unique stream_id\n",
    "trace_tweets = go.Scatter(x=[], y=[], mode='lines', name='Sentiments', stream=stream_tweets)\n",
    "\n",
    "CRYPTO_FOLDER = f\"data/crypto/{CURRENCY_SYMBOL}\"\n",
    "crypto_usd_updated = get_most_recent_data_from_csv(CRYPTO_FOLDER, 5)\n",
    "# Drop duplicates\n",
    "crypto_usd_updated = crypto_usd_updated.drop_duplicates(subset=['time'])\n",
    "trace_crypto = go.Scatter(x=crypto_usd_updated['time'].tail(200).apply(lambda x: datetime.fromtimestamp(x).strftime('%Y-%m-%d %H:%M:%S')),\n",
    "                          y=crypto_usd_updated['close'].tail(200), yaxis='y2', stream=stream_crypto, name = CURRENCY_SYMBOL)\n",
    "\n",
    "#data = [trace_crypto, trace_tweets]\n",
    "data = [trace_crypto, trace_tweets]\n",
    "\n",
    "# Add title to layout object\n",
    "layout = go.Layout(\n",
    "    title=f\"{CURRENCY_SYMBOL} currency and tweets sentiments\",\n",
    "    legend=dict(orientation=\"h\"),\n",
    "    yaxis=dict(\n",
    "        title='Sentiment score',\n",
    "        titlefont=dict(\n",
    "            color='rgb(255, 119, 0)'\n",
    "        ),\n",
    "        tickfont=dict(\n",
    "            color='rgb(255, 119, 0)'\n",
    "        )\n",
    "    ),\n",
    "    yaxis2=dict(\n",
    "        title='{CURRENCY_SYMBOL} Price ($ USD)',\n",
    "        titlefont=dict(\n",
    "            color='rgb(33, 118, 180)'\n",
    "        ),\n",
    "        tickfont=dict(\n",
    "            color='rgb(33, 118, 180)'\n",
    "        ),\n",
    "        overlaying='y',\n",
    "        side='right'\n",
    "    )\n",
    ")\n",
    "\n",
    "# Make a figure object\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "\n",
    "py.iplot(fig, filename=f\"real_time_{CURRENCY_SYMBOL}_tweets\", fileopt=\"overwrite\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Before continuing, run the crypto streamer first\n",
    "\n",
    "Open your terminal and execute this command at the same level as this notebook. You first need to have [npm with node](https://www.npmjs.com/get-npm) installed on your machine.\n",
    "\n",
    "- `cd streamer && npm install && node stream_crypto.js`\n",
    "\n",
    "Altenrativaley, you can run this line inside a jupyter notebook but it makes the cell block \n",
    "\n",
    "- `! cd streamer && npm install && node stream_crypto.js`\n",
    "\n",
    "### Once the crypto streamer is run you can run the following cell to stream the tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mWantReadError\u001b[0m                             Traceback (most recent call last)",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/urllib3/contrib/pyopenssl.py\u001b[0m in \u001b[0;36mrecv_into\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    279\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 280\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconnection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    281\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOpenSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSysCallError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/OpenSSL/SSL.py\u001b[0m in \u001b[0;36mrecv_into\u001b[0;34m(self, buffer, nbytes, flags)\u001b[0m\n\u001b[1;32m   1714\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_lib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ssl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnbytes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1715\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_raise_ssl_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ssl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1716\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/OpenSSL/SSL.py\u001b[0m in \u001b[0;36m_raise_ssl_error\u001b[0;34m(self, ssl, result)\u001b[0m\n\u001b[1;32m   1520\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0merror\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0m_lib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL_ERROR_WANT_READ\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1521\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mWantReadError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1522\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0merror\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0m_lib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL_ERROR_WANT_WRITE\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mWantReadError\u001b[0m: ",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-8-09a292a1b867>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     45\u001b[0m stream = MyStreamer(APP_KEY, APP_SECRET,\n\u001b[1;32m     46\u001b[0m                     OAUTH_TOKEN, OAUTH_TOKEN_SECRET)\n\u001b[0;32m---> 47\u001b[0;31m \u001b[0mstream\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstatuses\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfilter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtrack\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'#bitcoin'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'#BTC'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlang\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'en'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/twython/streaming/types.py\u001b[0m in \u001b[0;36mfilter\u001b[0;34m(self, **params)\u001b[0m\n\u001b[1;32m     65\u001b[0m         \u001b[0murl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'https://stream.twitter.com/%s/statuses/filter.json'\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m               \u001b[0;34m%\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstreamer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapi_version\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 67\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstreamer\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_request\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'POST'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     68\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     69\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mparams\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/twython/streaming/api.py\u001b[0m in \u001b[0;36m_request\u001b[0;34m(self, url, method, params)\u001b[0m\n\u001b[1;32m    139\u001b[0m             \u001b[0mresponse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_send\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mretry_counter\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    140\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 141\u001b[0;31m             \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miter_lines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchunk_size\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    142\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconnected\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    143\u001b[0m                     \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/requests/models.py\u001b[0m in \u001b[0;36miter_lines\u001b[0;34m(self, chunk_size, decode_unicode, delimiter)\u001b[0m\n\u001b[1;32m    787\u001b[0m         \u001b[0mpending\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    788\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 789\u001b[0;31m         \u001b[0;32mfor\u001b[0m \u001b[0mchunk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miter_content\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunk_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mchunk_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecode_unicode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdecode_unicode\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    790\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    791\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mpending\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/requests/models.py\u001b[0m in \u001b[0;36mgenerate\u001b[0;34m()\u001b[0m\n\u001b[1;32m    743\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraw\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'stream'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    744\u001b[0m                 \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 745\u001b[0;31m                     \u001b[0;32mfor\u001b[0m \u001b[0mchunk\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraw\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstream\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunk_size\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecode_content\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    746\u001b[0m                         \u001b[0;32myield\u001b[0m \u001b[0mchunk\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    747\u001b[0m                 \u001b[0;32mexcept\u001b[0m \u001b[0mProtocolError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/urllib3/response.py\u001b[0m in \u001b[0;36mstream\u001b[0;34m(self, amt, decode_content)\u001b[0m\n\u001b[1;32m    430\u001b[0m         \"\"\"\n\u001b[1;32m    431\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchunked\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msupports_chunked_reads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 432\u001b[0;31m             \u001b[0;32mfor\u001b[0m \u001b[0mline\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_chunked\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mamt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdecode_content\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdecode_content\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    433\u001b[0m                 \u001b[0;32myield\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    434\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/urllib3/response.py\u001b[0m in \u001b[0;36mread_chunked\u001b[0;34m(self, amt, decode_content)\u001b[0m\n\u001b[1;32m    596\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_error_catcher\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    597\u001b[0m             \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 598\u001b[0;31m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_update_chunk_length\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    599\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchunk_left\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    600\u001b[0m                     \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/urllib3/response.py\u001b[0m in \u001b[0;36m_update_chunk_length\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    538\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mchunk_left\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    539\u001b[0m             \u001b[0;32mreturn\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 540\u001b[0;31m         \u001b[0mline\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    541\u001b[0m         \u001b[0mline\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mb';'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    542\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/socket.py\u001b[0m in \u001b[0;36mreadinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m    584\u001b[0m         \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    585\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 586\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    587\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    588\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_timeout_occurred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/urllib3/contrib/pyopenssl.py\u001b[0m in \u001b[0;36mrecv_into\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    290\u001b[0m                 \u001b[0;32mraise\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    291\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOpenSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mWantReadError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 292\u001b[0;31m             \u001b[0mrd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_for_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msocket\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msocket\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgettimeout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    293\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mrd\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    294\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'The read operation timed out'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/urllib3/util/wait.py\u001b[0m in \u001b[0;36mwait_for_read\u001b[0;34m(socks, timeout)\u001b[0m\n\u001b[1;32m     31\u001b[0m     \u001b[0;32mor\u001b[0m \u001b[0moptionally\u001b[0m \u001b[0ma\u001b[0m \u001b[0msingle\u001b[0m \u001b[0msocket\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mpassed\u001b[0m \u001b[0;32min\u001b[0m\u001b[0;34m.\u001b[0m \u001b[0mReturns\u001b[0m \u001b[0ma\u001b[0m \u001b[0mlist\u001b[0m \u001b[0mof\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     32\u001b[0m     sockets that can be read from immediately. \"\"\"\n\u001b[0;32m---> 33\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_wait_for_io_events\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msocks\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mEVENT_READ\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     34\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     35\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/urllib3/util/wait.py\u001b[0m in \u001b[0;36m_wait_for_io_events\u001b[0;34m(socks, events, timeout)\u001b[0m\n\u001b[1;32m     24\u001b[0m             \u001b[0mselector\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregister\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msock\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mevents\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m         return [key[0].fileobj for key in\n\u001b[0;32m---> 26\u001b[0;31m                 selector.select(timeout) if key[1] & events]\n\u001b[0m\u001b[1;32m     27\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     28\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/urllib3/util/selectors.py\u001b[0m in \u001b[0;36mselect\u001b[0;34m(self, timeout)\u001b[0m\n\u001b[1;32m    511\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    512\u001b[0m             kevent_list = _syscall_wrapper(self._kqueue.control, True,\n\u001b[0;32m--> 513\u001b[0;31m                                            None, max_events, timeout)\n\u001b[0m\u001b[1;32m    514\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    515\u001b[0m             \u001b[0;32mfor\u001b[0m \u001b[0mkevent\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mkevent_list\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/urllib3/util/selectors.py\u001b[0m in \u001b[0;36m_syscall_wrapper\u001b[0;34m(func, _, *args, **kwargs)\u001b[0m\n\u001b[1;32m     62\u001b[0m         and recalculate their timeouts. \"\"\"\n\u001b[1;32m     63\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 64\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     65\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mOSError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mIOError\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mselect\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     66\u001b[0m             \u001b[0merrcode\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "from twython import TwythonStreamer\n",
    "import time\n",
    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
    "\n",
    "# We will provide the stream link object the same token that's associated with the trace we wish to stream to\n",
    "#s_crypto = py.Stream(stream_id_crypto)\n",
    "s_tweets = py.Stream(stream_id_tweets)\n",
    "\n",
    "# We then open a connection\n",
    "#s_crypto.open()\n",
    "s_tweets.open()\n",
    "\n",
    "# Vader sentiment analyser\n",
    "analyzer = SentimentIntensityAnalyzer()\n",
    "\n",
    "class MyStreamer(TwythonStreamer):\n",
    "    def on_success(self, data):\n",
    "        if 'text' in data:\n",
    "            # x value: date\n",
    "            date_str = data['created_at']\n",
    "            time_struct = time.strptime(date_str, \"%a %b %d %H:%M:%S +0000 %Y\")#Tue Apr 26 08:57:55 +0000 2011\n",
    "            date = datetime.fromtimestamp(time.mktime(time_struct))\n",
    "            date = date + timedelta(hours=4) # hack to sync tweet's date to current time\n",
    "            \n",
    "            # y value: sentiment of the tweet\n",
    "            text = data['text']\n",
    "            vs = analyzer.polarity_scores(text)\n",
    "            score = vs[\"compound\"] * (data[\"user\"][\"followers_count\"]+1) * (data[\"favorite_count\"]+1)\n",
    "            #print(date, score)\n",
    "            s_tweets.write(dict(type='scatter',\n",
    "                 x=date,y=score))\n",
    "\n",
    "    def on_error(self, status_code, data):\n",
    "        print(status_code, data)\n",
    "\n",
    "        # Want to stop trying to get data because of the error?\n",
    "        # Uncomment the next line!\n",
    "        # self.disconnect()\n",
    "        \n",
    "APP_KEY = 'mPQKoRwd2Pb9qpQyQmyG5s8KR'\n",
    "APP_SECRET = 'HLvIhusvfzDLKaRXY8CnZGP143kp3E3f2KqQBIEMfVL5mOxZjq'\n",
    "OAUTH_TOKEN = \"3459248236-0XPtHldG3ou6BfpTwaKWnOL2ywFk2niQekLwE7K\"\n",
    "OAUTH_TOKEN_SECRET = \"08Vy2wuOkp7AmuC3rbjCHFJ94MLG2sWqdvGQtoiXmkVKr\"\n",
    "\n",
    "stream = MyStreamer(APP_KEY, APP_SECRET,\n",
    "                    OAUTH_TOKEN, OAUTH_TOKEN_SECRET)\n",
    "stream.statuses.filter(track=['#bitcoin', '#BTC'], lang='en')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### To stop the real time data retrieving, stop the kernel in this notebook and press Ctrl+C in your terminal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Close the stream when done plotting\n",
    "s_tweets.close() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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