Presidential_Twitter_Behavior.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Presidential Twitter Behavior\n",
    "\n",
    "This project was for my class at UC Berkeley called *Data 100 (Principles and Techniques of Data Science)*. **I worked with Twitter data to analyze Donald Trump's tweets using sentiment analysis.**\n",
    "\n",
    "This frequent, unfiltered, and direct tweets can potentially provide interesting insight in the effect and influence of social media in the political and/or economicworld."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import json\n",
    "import zipfile\n",
    "\n",
    "# Ensure that Pandas shows at least 280 characters in columns, so we can see full tweets\n",
    "pd.set_option('max_colwidth', 280)\n",
    "\n",
    "%matplotlib inline\n",
    "plt.style.use('fivethirtyeight')\n",
    "import seaborn as sns\n",
    "sns.set()\n",
    "sns.set_context(\"talk\")\n",
    "import re"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_zip = zipfile.ZipFile('data/hw4-realdonaldtrump_tweets.json.zip', 'r')\n",
    "with my_zip.open('hw4-realdonaldtrump_tweets.json', 'r') as f:\n",
    "    all_tweets = json.load(f)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I constructed a DataFrame called `trump` containing data from all the tweets stored in `all_tweets`. The index of the DataFrame is the ID of each tweet and in ascending order. The columns are:\n",
    "\n",
    "- `time`: The time the tweet was created encoded as a datetime object. (Use `pd.to_datetime` to encode the timestamp.)\n",
    "- `source`: The source device of the tweet.\n",
    "- `text`: The text of the tweet.\n",
    "- `retweet_count`: The retweet count of the tweet. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweet_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>690171032150237184</td>\n",
       "      <td>2016-01-21 13:56:11+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/android\" rel=\"nofollow\"&gt;Twitter for Android&lt;/a&gt;</td>\n",
       "      <td>\"@bigop1: @realDonaldTrump  @SarahPalinUSA https://t.co/3kYQGqeVyD\"</td>\n",
       "      <td>1059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>690171403388104704</td>\n",
       "      <td>2016-01-21 13:57:39+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/android\" rel=\"nofollow\"&gt;Twitter for Android&lt;/a&gt;</td>\n",
       "      <td>\"@AmericanAsPie:  @glennbeck @SarahPalinUSA Remember when Glenn gave out gifts to ILLEGAL ALIENS at crossing the border? Me too!\"</td>\n",
       "      <td>1339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>690173226341691392</td>\n",
       "      <td>2016-01-21 14:04:54+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/android\" rel=\"nofollow\"&gt;Twitter for Android&lt;/a&gt;</td>\n",
       "      <td>So sad that @CNN and many others refused to show the massive crowd at the arena yesterday in Oklahoma. Dishonest reporting!</td>\n",
       "      <td>2006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>690176882055114758</td>\n",
       "      <td>2016-01-21 14:19:26+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/android\" rel=\"nofollow\"&gt;Twitter for Android&lt;/a&gt;</td>\n",
       "      <td>Sad sack @JebBush has just done another ad on me, with special interest money, saying I won't beat Hillary - I WILL. But he can't beat me.</td>\n",
       "      <td>2266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>690180284189310976</td>\n",
       "      <td>2016-01-21 14:32:57+00:00</td>\n",
       "      <td>&lt;a href=\"http://twitter.com/download/android\" rel=\"nofollow\"&gt;Twitter for Android&lt;/a&gt;</td>\n",
       "      <td>Low energy candidate @JebBush has wasted $80 million on his failed presidential campaign. Millions spent on me. He should go home and relax!</td>\n",
       "      <td>2886</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        time  \\\n",
       "690171032150237184 2016-01-21 13:56:11+00:00   \n",
       "690171403388104704 2016-01-21 13:57:39+00:00   \n",
       "690173226341691392 2016-01-21 14:04:54+00:00   \n",
       "690176882055114758 2016-01-21 14:19:26+00:00   \n",
       "690180284189310976 2016-01-21 14:32:57+00:00   \n",
       "\n",
       "                                                                                                  source  \\\n",
       "690171032150237184  <a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>   \n",
       "690171403388104704  <a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>   \n",
       "690173226341691392  <a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>   \n",
       "690176882055114758  <a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>   \n",
       "690180284189310976  <a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>   \n",
       "\n",
       "                                                                                                                                                            text  \\\n",
       "690171032150237184                                                                           \"@bigop1: @realDonaldTrump  @SarahPalinUSA https://t.co/3kYQGqeVyD\"   \n",
       "690171403388104704             \"@AmericanAsPie:  @glennbeck @SarahPalinUSA Remember when Glenn gave out gifts to ILLEGAL ALIENS at crossing the border? Me too!\"   \n",
       "690173226341691392                   So sad that @CNN and many others refused to show the massive crowd at the arena yesterday in Oklahoma. Dishonest reporting!   \n",
       "690176882055114758    Sad sack @JebBush has just done another ad on me, with special interest money, saying I won't beat Hillary - I WILL. But he can't beat me.   \n",
       "690180284189310976  Low energy candidate @JebBush has wasted $80 million on his failed presidential campaign. Millions spent on me. He should go home and relax!   \n",
       "\n",
       "                    retweet_count  \n",
       "690171032150237184           1059  \n",
       "690171403388104704           1339  \n",
       "690173226341691392           2006  \n",
       "690176882055114758           2266  \n",
       "690180284189310976           2886  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ids = [i.get('id') for i in all_tweets]\n",
    "\n",
    "source = [s.get('source') for s in all_tweets]\n",
    "\n",
    "text = [t.get('text') for t in all_tweets]\n",
    "full_text = [t.get('full_text') for t in all_tweets]\n",
    "\n",
    "time = [t.get('created_at') for t in all_tweets]\n",
    "time = pd.to_datetime(time)\n",
    "\n",
    "retweet_count = [c.get('retweet_count') for c in all_tweets]\n",
    "\n",
    "d = {\n",
    "    'time': time,\n",
    "     'source': source,\n",
    "    'text': text,\n",
    "     'full_text': full_text,\n",
    "     'retweet_count': retweet_count\n",
    "    }\n",
    "\n",
    "trump = pd.DataFrame(d, index = ids)\n",
    "trump['text'].fillna(value=trump['full_text'], inplace=True)\n",
    "trump = trump.drop('full_text', 1)\n",
    "trump.sort_index(ascending=True).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Source Analysis\n",
    "\n",
    "My goal is to find the charateristics of Trump tweets and the devices used for the tweets. \n",
    "\n",
    "We see that sources like \"Twitter for Android\" or \"Instagram\" are surrounded by HTML tags. I cleaned up the `source` field by removing the HTML tags from each `source` entry.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>',\n",
       "       '<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>',\n",
       "       '<a href=\"http://twitter.com\" rel=\"nofollow\">Twitter Web Client</a>',\n",
       "       '<a href=\"https://studio.twitter.com\" rel=\"nofollow\">Media Studio</a>',\n",
       "       '<a href=\"http://twitter.com/#!/download/ipad\" rel=\"nofollow\">Twitter for iPad</a>',\n",
       "       '<a href=\"http://instagram.com\" rel=\"nofollow\">Instagram</a>',\n",
       "       '<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Mobile Web (M5)</a>',\n",
       "       '<a href=\"https://ads.twitter.com\" rel=\"nofollow\">Twitter Ads</a>',\n",
       "       '<a href=\"https://periscope.tv\" rel=\"nofollow\">Periscope</a>',\n",
       "       '<a href=\"https://studio.twitter.com\" rel=\"nofollow\">Twitter Media Studio</a>'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trump['source'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Twitter for iPhone', 'Twitter for Android', 'Twitter Web Client',\n",
       "       'Media Studio', 'Twitter for iPad', 'Instagram', 'Mobile Web (M5)',\n",
       "       'Twitter Ads', 'Periscope', 'Twitter Media Studio'], dtype=object)"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trump = trump.replace(['<[^>]+>'], [''], regex=True)\n",
    "trump['source'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the following plot, we see that there are two device types that are more commonly used than others."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
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++sniUQ+GYTB//nwcHBzMDV/Buqh9+/aZ406cOMGuXbuumxNAy5Yt2bVrl8X+2dnZLFiwgL1795pzWbduHQcPHrTY980332TIkCGkpaXZdC6Rq2lGSaSMODg4MHHiRDp16lToeUOPP/44b7zxBgMGDKBjx46kpKTwxRdfmGctSoqLiws9evSgV69eXLp0icWLF3PrrbcyYsQI4MpM0gsvvMCUKVPo2rUrHTt2JDc3l08//ZSsrCxefPHFYp+zatWq5mN2796dJ554gosXL/LZZ5+Rn5/PuHHjSrTGvzOZTISEhPD999/ToEED8+Wwpk2b8s4773D27FmL2ZvbbruN4cOHEx0dTbdu3Xj88cfJycnh008/JTc3lzFjxhQrDq58r4ZhMGvWLIKDg2nSpAmBgYG888475nf/nTx5kk8++YR7772XBx988Jo1ValShZEjRxIZGYmnpydffvklZ86c4YMPPrC4POXs7Ey7du1YunQpbm5u5vVG1zJ48GC2bdvGO++8Q3x8PK1bt8bLy4tTp07xzTffcPbsWRYvXmxuAkeNGsW2bdvo2bMnERERVKtWjTVr1rB161YGDBhgXr/02GOPsWDBAkaMGEGfPn24dOkSsbGx3HnnnTa9B2/w4MGsWbOGXr160bNnT6pVq8aKFStISUlh0aJFFrn06NGDiIgI7rzzTtatW8eGDRuIiIgwr5sSKQ41SiJlyN/fn969e7Nw4UKL8R49epCWlsaXX37JG2+8wX333cfs2bNZuHCh+c6sktC1a1ccHByYM2cOWVlZNG3alLFjx1qssYmMjMTHx4dFixYRExND5cqVqVevHtHR0TRu3PiGzhsZGcntt9/OwoULmT59Oq6urjRp0oShQ4eWyTvZwsLC+P77783PaQKoV68et9xyC87OzhZ3UgEMGDCAO++8k8WLF5u/g/r16zN9+nTzjFRx4nr06MHWrVuZO3cue/bs4cEHH+T999/nvffeY926deZ3p3Xo0IERI0ZYXYdWoOCS3axZszh9+jT+/v7Mnz+/0CUngI4dO7J06VIeeeQRKlWqdN3vytXVlU8++YRPP/2U1atXM3/+fC5evGi+xBgVFUWdOnXM8b6+vixbtoyYmBg+//xzLl++zD333MOUKVPo1KmTOa5u3bpMnz6dDz74gKlTp1K9enUGDx7MhQsXirwc/XfVqlVj6dKlTJ8+nc8++4zs7Gzuv/9+Fi1aZH51TUEu7777rjmXWrVq8fLLL9OzZ8/rnkOkKA7G32+LERGRCmPHjh306NGDhQsXFvlaEhG5Nq1REhGpwD7//HPuvPNOmjVrVt6piNyUdOlNRKQCeumllzh+/Djbtm3jlVdeueat9SJinf7LERGpgFJTU9mzZ495YbOI3BitURIRERGxQjNKIiIiIlaU+xqlzz77jI8//phTp05Rq1YtnnnmGTp27GjenpCQQExMDL///jve3t707Nmz0LuKdu/ezbRp09izZw9ubm506tSJYcOGWTwV98iRI7z11lskJiZiMplo3749o0ePvuYrBq7FMAxKcy6u4Jl+N/t8X0WpAypOLarDvqgO+6I67EtZ1OHgcO1XQJVro7R06VImTpxIv379aNGiBRs2bGD06NE4OzvToUMHkpKSiIqKokOHDgwfPpwdO3Ywbdo0DMOgf//+wJXH9kdGRhIYGMiMGTM4dOgQMTExZGRkMH78eODKiyn79OlDtWrVmDp1KqmpqURHR3P69Gnmzp17Q7kbBqSmZpTYd/F3np5XHrV//vylUjtHWagodUDFqUV12BfVYV9Uh30pizq8vd251gsHyrVR+vrrr2natKn5ab8hISHs2bOHTz/9lA4dOjBz5kzq1q1LdHQ0cOWhcbm5ucyZM4devXrh4uLCvHnz8PDw4P3338fFxYWWLVtSuXJlJk2axKBBg/Dx8SE2NpYLFy6wfPly8xupfXx8GDhwILt27frHb3MXERGRiqlc1yhlZWXh5uZmMValShXS0tLIysoiMTGRtm3bWmxv164dFy5cICkpCYBNmzbRqlUrixd1tm/fnry8PBISEswxwcHB5iYJrrzPyc3NjQ0bNpRWeSIiInKTK9dGqXfv3mzcuJHVq1eTkZHB999/z/r16/nPf/7DsWPHyMnJMb8nqEDBo/OTk5O5dOkSp06dKhTj5eWFu7u7+Y3Whw8fLhRjMpmoWbNmkW+9FhEREYFyvvT22GOPsWXLFvMLOQGeeuopBgwYwM6dOwEKLbYumIHKyMggPT29yJiCuIyMK2uI0tPTrxtTXA4O/7t2WhqcnK68Pbw0z1EWKkodUHFqUR32RXXYF9VhX8qijmutT4JybpQGDx7Mzp07eemll6hbty67du3i/fffx93dnUcffRSwvhLd0dGRgkdAFRVjGIbFk2htiRERERG5Wrk1SklJSSQkJFi8YbpJkybceuutjB8/ns6dOwMUmvEp+Ozh4WGeJSpqVigzMxMPDw/gyoxTUTEXL16kRo0aN5S/YZTuKnzdsWB/KkotqsO+qA77ojrsiz3c9VZu0yknT54EoFGjRhbjQUFBAOzbtw+TycTRo0ctthd89vX1xc3NDR8fH1JSUixiUlNTycjIMK9L8vX1LRSTl5fH8ePHC61dEhERESlQbo1SQYOyfft2i/FffvkFgLvvvpugoCDWrFnD1W9ZiYuLw8PDg/r16wPQvHlz4uPjyc7OtogxmUw0adLEHLN161bS0tLMMQkJCWRmZhISElI6BYqIiMhNzzRx4sSJ5XHi22+/nf379/Ppp59SuXJlsrKyiIuL45133qFZs2Y888wz3HHHHcyZM4dDhw7h6urK8uXL+fDDDxk2bBhNmzYFrjRcCxcuJDExEU9PT9avX090dDTh4eE88cQTAPzf//0fn3/+OT/88APe3t4kJSUxceJEmjZtyqBBg24of8OAS5eyrx94gypXvvJU8ays3FI7R1moKHVAxalFddgX1WFfVId9KYs6brnF5ZpP5i7Xl+JmZ2cze/Zsvv32W1JTU6lRowaPP/44AwcOND8Xae3atcycOZPk5GR8fHyIiIgo9AqTxMREpk2bxr59+6hatSpPPvlkoVeYHDx4kMmTJ7Nz507c3Nxo06YNY8aMueFXmOTnG3oytw0qSh1QcWpRHfZFddgX1WFfymqNkqOjnTZKNzM1SrapKHVAxalFddgX1WFfVId9sYdGSffGi4iIiFihRklERETECjVKIiIiIlaU65O5/03c3Crh5GR7X3qjj23Pzc3n4sWsYu0jIiIiRVOjVEacnBzJzjNIPnG+1M7hW8MTl2I0YyIiInJtapTKUPKJ87z8waZSO/7kwc3xr12l1I4vIiLyb6PpBxEREREr1CiJiIiIWKFGSURERMQKNUoiIiIiVqhREhEREbFCjZKIiIiIFWqURERERKxQoyQiIiJihRolERERESvUKImIiIhYoUZJRERExAo1SiIiIiJWqFESERERsUKNkoiIiIgVapRERERErFCjJCIiImKFGiURERERK9QoiYiIiFihRklERETECjVKIiIiIlaoURIRERGxQo2SiIiIiBVqlERERESsUKMkIiIiYkW5NUpbt27F39/f6s/XX38NQEJCAk8//TQBAQG0bt2ahQsXFjrW7t276dWrF4GBgYSGhjJ9+nRycnIsYo4cOUJUVBRBQUE0bdqUCRMmkJGRUSa1ioiIyM3JqbxOXK9ePZYuXWoxZhgGr7zyCpmZmbRs2ZKkpCSioqLo0KEDw4cPZ8eOHUybNg3DMOjfvz8AKSkpREZGEhgYyIwZMzh06BAxMTFkZGQwfvx4AM6fP0+fPn2oVq0aU6dOJTU1lejoaE6fPs3cuXPLvHYRERG5OZRbo+Tu7k7Dhg0txj766COSk5P5/PPP8fLy4oUXXqBu3bpER0cDEBYWRm5uLnPmzKFXr164uLgwb948PDw8eP/993FxcaFly5ZUrlyZSZMmMWjQIHx8fIiNjeXChQssX76cqlWrAuDj48PAgQPZtWsXAQEBZV6/iIiI2D+7WaP0559/8u6779K9e3cCAgLIysoiMTGRtm3bWsS1a9eOCxcukJSUBMCmTZto1aoVLi4u5pj27duTl5dHQkKCOSY4ONjcJAGEhobi5ubGhg0byqA6ERERuRnZTaM0c+ZMHB0dGTFiBADHjh0jJycHX19fi7g6deoAkJyczKVLlzh16lShGC8vL9zd3UlOTgbg8OHDhWJMJhM1a9Y0x4iIiIj8XbldervauXPnWL58Of369ePWW28FID09Hbhyie5qbm5uAGRkZFiNKYgrWKydnp5+3ZjicnAAT09Xm+OdnEw3dJ7icnIyFSuv0lZQtz3ldKMqSi2qw76oDvuiOuxLWdTh4HDt7XYxo/TFF1+Qn59P7969zWOGYQDgYKUCR0fHa8YYhoGj4//KsyVGRERE5Gp2MaMUFxdHixYt8PLyMo95eHgAFJrxKfjs4eFhniUqalYoMzPTfAx3d/ciYy5evEiNGjVuKGfDgPPnL9kcX1ZdfW5uXrHyKm0FddtTTjeqotSiOuyL6rAvqsO+lEUd3t7u15xVKvfplDNnzrB37146dOhgMV67dm1MJhNHjx61GC/47Ovri5ubGz4+PqSkpFjEpKamkpGRYV6X5OvrWygmLy+P48ePF1q7JCIiIlKg3BulXbt2AdC4cWOL8UqVKhEUFMSaNWvMl9jgyuyTh4cH9evXB6B58+bEx8eTnZ1tEWMymWjSpIk5ZuvWraSlpZljEhISyMzMJCQkpNRqExERkZtbuTdKBw8exNXVtchLYIMHDyYpKYnnn3+eDRs2MGPGDBYsWMCgQYNwdb0yHTdgwADOnj3LwIEDiY+PZ9GiRUyZMoUuXbpQvXp1AHr06IGLiwuRkZGsXbuWZcuWMXr0aMLCwmjUqFGZ1isiIiI3j3JvlP7880/znW5/16xZM2bNmsWhQ4cYMmQIK1asYMyYMTzzzDPmmHvuuYeFCxeSmZnJc889x6JFi+jbty+vvPKKOcbLy4uPP/6YKlWqMGrUKGJiYmjfvj0xMTGlXp+IiIjcvByMq69ric3y8w1SU21/tICnpysHjqbx8gebSi2nyYOb41+7il0t3qsoCwqh4tSiOuyL6rAvqsO+lNVibkdH66u5y31GSURERMReqVESERERsUKNkoiIiIgVapRERERErFCjJCIiImKFGiURERERK9QoiYiIiFihRklERETECjVKIiIiIlaoURIRERGxQo2SiIiIiBVqlERERESsUKMkIiIiYoUaJREREREr1CiJiIiIWKFGSURERMQKNUoiIiIiVqhREhEREbFCjZKIiIiIFWqURERERKxQoyQiIiJihRolERERESvUKImIiIhYoUZJRERExAo1SiIiIiJWqFESERERsUKNkoiIiIgVapRERERErFCjJCIiImKFGiURERERK8q9Udq+fTvdu3cnICCA0NBQ3njjDS5evGjenpCQwNNPP01AQACtW7dm4cKFhY6xe/duevXqRWBgIKGhoUyfPp2cnByLmCNHjhAVFUVQUBBNmzZlwoQJZGRklHp9IiIicvMq10bpl19+oW/fvlSrVo0PPviAIUOG8O233zJu3DgAkpKSiIqK4u6772bWrFk88cQTTJs2jQULFpiPkZKSQmRkJJUqVWLGjBn069ePRYsWMWXKFHPM+fPn6dOnD3/++SdTp05l5MiRrFq1ipEjR5Z5zSIiInLzcCrPk7/99ts0bNiQd999FwcHB0JCQsjPz2fRokVcunSJmTNnUrduXaKjowEICwsjNzeXOXPm0KtXL1xcXJg3bx4eHh68//77uLi40LJlSypXrsykSZMYNGgQPj4+xMbGcuHCBZYvX07VqlUB8PHxYeDAgezatYuAgIDy/BpERETETpXbjNK5c+dITEyke/fuODg4mMcjIiL44YcfcHR0JDExkbZt21rs165dOy5cuEBSUhIAmzZtolWrVri4uJhj2rdvT15eHgkJCeaY4OBgc5MEEBoaipubGxs2bCjNMkVEROQmVm6N0sGDBzEMA09PT0aMGEHDhg1p3LgxEyZM4PLlyxw7doycnBx8fX0t9qtTpw4AycnJXLp0iVOnThWK8UBzAVUAACAASURBVPLywt3dneTkZAAOHz5cKMZkMlGzZk1zjIiIiMjfldult3PnzgEwduxYHnnkET744AMOHDjAjBkzyMrKomvXrgC4u7tb7Ofm5gZARkYG6enpRcYUxBUs1k5PT79uTHE5OICnp6vN8U5Ophs6T3E5OZmKlVdpK6jbnnK6URWlFtVhX1SHfVEd9qUs6rjqolbROZTama+j4K60Ro0aMWHCBACaNWuGYRhMnTqVLl26AFhclruao6MjhmFYjTEMA0fH/02Y2RIjIiIicrVya5QKZobCwsIsxkNDQ3nrrbfYvXs3QKEZn4LPHh4e5lmiomaFMjMz8fDwAK7MOBUVc/HiRWrUqHFD+RsGnD9/yeb4surqc3PzipVXaSuo255yulEVpRbVYV9Uh31RHfalLOrw9na/5qxSuU2n3HXXXQBkZ2dbjBfMNNWsWROTycTRo0ctthd89vX1xc3NDR8fH1JSUixiUlNTycjIMK9L8vX1LRSTl5fH8ePHC61dEhERESlQbo3SPffcQ40aNVi1apXFeHx8PE5OTgQGBhIUFMSaNWvMl9gA4uLi8PDwoH79+gA0b96c+Ph4i4YrLi4Ok8lEkyZNzDFbt24lLS3NHJOQkEBmZiYhISGlWaaIiIjcxMqtUXJwcGDUqFEkJiYyatQofv75Z+bNm8cHH3xAr1698PLyYvDgwSQlJfH888+zYcMGZsyYwYIFCxg0aBCurlem4wYMGMDZs2cZOHAg8fHx5odNdunSherVqwPQo0cPXFxciIyMZO3atSxbtozRo0cTFhZGo0aNyusrEBERETvnYFw9XVMOfvjhB9577z1+//13vL296dq1K4MGDTIvsl67di0zZ84kOTkZHx8fIiIi6Nevn8UxEhMTmTZtGvv27aNq1ao8+eSTDBs2DGdnZ3PMwYMHmTx5Mjt37sTNzY02bdowZsyYIu+Gs0V+vkFqqu13zHl6unLgaBovf7Dphs5ni8mDm+Nfu4pdXZOuKNfJoeLUojrsi+qwL6rDvpTVGiVHR+uLlMq9UbpZqVGyTUX5jxUqTi2qw76oDvuiOuyLPTRKujdeRERExAo1SiIiIiJWqFESERERsUKNkoiIiIgV/+jJ3Lm5uWzevBmTycSDDz6o14GIiIhIhWJzo5Sdnc1bb73F0aNHmT9/PtnZ2XTr1o19+/YBcO+997J48WK8vLxKLVkRERGRsmTzFNB7773Hp59+ym233QbAN998w969e4mIiOD111/n1KlTvPvuu6WWqIiIiEhZs7lRWr16NZ06deKtt94C/vcqkbFjxxIeHk7Pnj2Jj48vtURFREREyprNjdKpU6fMr/u4fPky27dvp1mzZjg5Xbl6V716dc6fP186WYqIiIiUA5sbJW9vb1JTU4ErL5TNysqiZcuW5u0HDx6kWrVqJZ+hiIiISDmxeTF306ZN+fjjj3F1dWXJkiW4urrSpk0b0tPT+frrr/niiy8IDw8vzVxFREREypTNM0ovvfQSd999N5MnT+bs2bO89tpreHp6cuDAASZPnkzdunUZOnRoaeYqIiIiUqZsnlGqUqUKn3zyCX/88Qeenp5UqlQJgPvvv5/Y2FgaNWqEg4P1l8qJiIiI3GxsnlF69dVX+fXXX7n99tvNTRKAm5sbjRs3Ztu2bURFRZVKkiIiIiLlweZGadmyZRw9etTq9u3bt/Pzzz+XSFIiIiIi9sDqpbdjx47RsWNHcnJyzGMvvvgiY8eOLRSbn5+PYRjUq1evdLIUERERKQdWG6VatWrx8ssvs23bNgzD4LvvvqNBgwbUrFmzUKzJZKJq1apERESUarIiIiIiZemai7nDw8PNt/yfPHmSoUOHEhISUiaJiYiIiJQ3m+96+/TTT82/G4ZBWloa7u7uODs7l0piIiIiIuXN5sXccGXd0ogRI2jcuDHNmzcnMTGRLVu20K1bN3755ZfSylFERESkXNjcKKWkpNC5c2c2bdpESEgIhmEA4ODgwIEDB+jTpw+//vprqSUqIiIiUtZsbpTeeecdXFxcWLVqFa+//rq5UWratCkrV67E29ubWbNmlVqiIiIiImXN5kZpy5YtdO/enWrVqhV6Anf16tXp3r07u3fvLvEERURERMqLzY1SdnY2np6eVre7uLiQlZVVIkmJiIiI2AObGyV/f3/Wr19f5La8vDy+++47/Pz8SiovERERkXJnc6M0cOBANm7cyNixY0lMTATg9OnTbNiwgcjISPbs2UOfPn1KLVERERGRsmbzc5Qefvhh3njjDaZMmcI333wDwMsvvwyAs7Mzo0aN4tFHHy2dLEVERETKgc2NElx5Unf79u3ZuHEjx44dIy8vjxo1ahAaGoq3t3dp5SgiIiJSLorVKAF4eHjQoUMHPZlbREREKjw9mVtERETEimI9mTs8PLxEn8ydm5tLgwYN8Pf3t/gJDAw0xyQkJPD0008TEBBA69atWbhwYaHj7N69m169ehEYGEhoaCjTp08nJyfHIubIkSNERUURFBRE06ZNmTBhAhkZGcXKV0RERP5dbL709s477+Ds7MyKFSswmUz88MMPwP+ezN2zZ09mzZrFhx9+aPPJk5OTycrKYurUqdx1113mcUfHK/1bUlISUVFRdOjQgeHDh7Njxw6mTZuGYRj0798fuNLARUZGEhgYyIwZMzh06BAxMTFkZGQwfvx4AM6fP0+fPn2oVq0aU6dOJTU1lejoaE6fPs3cuXNtzldERET+XWxulLZs2UJkZCTVqlXjr7/+sthW8GTuBQsWFOvk+/fvx9HRkXbt2uHq6lpo+8yZM6lbty7R0dEAhIWFkZuby5w5c+jVqxcuLi7MmzcPDw8P3n//fVxcXGjZsiWVK1dm0qRJDBo0CB8fH2JjY7lw4QLLly+natWqAPj4+DBw4EB27dpFQEBAsfIWERGRf4dyfTL3vn37qF27dpFNUlZWFomJibRt29ZivF27dly4cIGkpCQANm3aRKtWrXBxcTHHtG/fnry8PBISEswxwcHB5iYJIDQ0FDc3NzZs2FCsnEVEROTfo1yfzH3gwAFcXFzo378/gYGBBAcHM378eDIyMjh27Bg5OTn4+vpa7FOnTh3gymW7S5cucerUqUIxXl5euLu7k5ycDMDhw4cLxZhMJmrWrGmOEREREfk7my+9DRw4kCFDhjB27Fgefvhh4H9P5p4/fz579uzhnXfeKdbJ9+/fT0ZGBuHh4URFRbFnzx5mzZpFcnIyL7zwAgDu7u4W+7i5uQGQkZFBenp6kTEFcQWLtdPT068bU1wODuDpWXgmzBonJ9MNnae4nJxMxcqrtBXUbU853aiKUovqsC+qw76oDvtSFnU4OFwnB1sPVBpP5o6JicHT0xN/f38AgoOD8fb2ZvTo0WzatOn/L6DoChwdHS3uvPs7wzDMi8JtjRERERG5Wrk+mbtJkyaFxh566CGLz3+f8Sn47OHhYZ4lKmpWKDMzEw8PD+DKjFNRMRcvXqRGjRrFzhvAMOD8+Us2x5dVV5+bm1esvEpbQd32lNONqii1qA77ojrsi+qwL2VRh7e3+zVnlWxulN58801atWpFcHBwibzTLTU1lXXr1vHggw9Sq1Yt8/jly5cB8Pb2xmQycfToUYv9Cj77+vri5uaGj48PKSkphY6dkZFhXpfk6+tbKCYvL4/jx4/Trl27f1yLiIiIVEw2X3f6+uuv6d+/P02bNmXIkCEsW7aMM2fO3PCJHRwcGD9+PEuWLLEYX7VqFSaTiZCQEIKCglizZo35EhtAXFwcHh4e1K9fH4DmzZsTHx9Pdna2RYzJZDLPWDVv3pytW7eSlpZmjklISCAzM5OQkJAbrkFEREQqNptnlLZt28bOnTtJSEggISGBCRMmYBgG/v7+tGzZkoceeoiGDRtaXVP0d15eXkRERPDJJ5/g7u5OUFAQO3bsYM6cOURERFCnTh0GDx5M3759ef7553nqqafYuXMnCxYsYOTIkeZHCgwYMICVK1cycOBA+vTpw5EjR5g+fTpdunShevXqAPTo0YMlS5YQGRnJkCFDSEtLIzo6mrCwMBo1anQDX5uIiIj8GzgYV0/XFENaWho///wzGzduZNOmTZw9exZPT0+2bNli8zFycnJYvHgx/+///T9OnDiBj48PXbp0YcCAAeZF1mvXrmXmzJkkJyfj4+NDREQE/fr1szhOYmIi06ZNY9++fVStWpUnn3ySYcOGWbyw9+DBg0yePJmdO3fi5uZGmzZtGDNmTJF3w9kiP98gNdX2O+Y8PV05cDSNlz/YdEPns8Xkwc3xr13Frq5JV5Tr5FBxalEd9kV12BfVYV/Kao2So6P1SZ5iLeYucPnyZfbt28fhw4c5ceIE58+fxzAMi8tftnB2duaZZ57hmWeesRrzyCOP8Mgjj1zzOEFBQXzxxRfXjPHz82Px4sXFyk9ERET+3WxulOLj40lMTCQxMZHffvuN3Nxc3N3dadSoEUOHDqVp06bUq1evNHMVERERKVM2N0qDBw/GwcEBHx8fnnvuOZo1a0a9evX0HCIRERGpsGxulHr27Mn27ds5ePAgs2bNYv369TRp0oQmTZrQsGFDbrnlltLMU0RERKTM2dwojRs3DriyiHvr1q1s27aNH374gblz52IymahXrx7BwcGMGjWq1JIVERERKUvFXsxdpUoV2rVrR7t27cjLy2Pjxo2899577Nq1i19//VWNkoiIiFQYxW6U9u/fz5YtW9iyZQuJiYlcvHgRDw8P2rdvT1hYWGnkKCIiIlIubG6Uhg8fzrZt28xPt77vvvuIiIggLCyMwMBALeoWERGRCsfmRmnz5s2EhIQQFhZGixYtqFatWmnmJSIiIlLurDZKs2fPpm3btvj5+QFXGiWTyVRmiYmIiIiUN6vXy2bPns2BAwfMn9UkiYiIyL+NFhaJiIiIWKFGSURERMSKay7mPnz4MNu3by/WAYODg/9RQiIiIiL24pqN0pw5c5gzZ06xDrhv375/lJCIiIiIvbhmo9SmTRv8/f3LKhcRERERu3LNRqlt27Y88cQTZZWLiIiIiF3RYm4RERERK9QoiYiIiFhhtVEKDg7mtttuK8tcREREROyK1TVKn3zySVnmISIiImJ3dOlNRERExAo1SiIiIiJWqFESERERscJqo7R+/Xr+/PPPssxFRERExK5YbZRGjRrF+vXrzZ979+7N5s2byyInEREREbtgtVEyDIMdO3Zw6dIlALZt20ZqamqZJSYiIiJS3qw+HqBt27Z8/fXXLF++3Dw2evRoRo8ebfVgDg4O7N27t2QzFBERESknVhul1157jXr16nHw4EGys7P55ptvaNy4MbVq1SrL/ERERETKjdVGycXFhZ49e5o/L1++nK5du+oluSIiIvKvYbVR+rv9+/ebf//zzz85efIkzs7O+Pj44OXlVSrJiYiIiJSnYj1Hac+ePXTt2pUWLVrQtWtXOnXqRPPmzenWrRu7d+/+x8kMHTqURx55xGIsISGBp59+moCAAFq3bs3ChQsL7bd792569epFYGAgoaGhTJ8+nZycHIuYI0eOEBUVRVBQEE2bNmXChAlkZGT845xFRESk4rJ5RunAgQP06tULgC5dunDPPfeQn5/P4cOHWbFiBb179+aLL77g3nvvvaFEvvnmG9auXUvt2rXNY0lJSURFRdGhQweGDx/Ojh07mDZtGoZh0L9/fwBSUlKIjIwkMDCQGTNmcOjQIWJiYsjIyGD8+PEAnD9/nj59+lCtWjWmTp1Kamoq0dHRnD59mrlz595QviIiIlLx2dwozZgxAzc3N5YuXUqNGjUstj377LN07tyZ2bNn8+677xY7iTNnzvDmm29yxx13WIzPnDmTunXrEh0dDUBYWBi5ubnMmTOHXr164eLiwrx58/Dw8OD999/HxcWFli1bUrlyZSZNmsSgQYPw8fEhNjaWCxcusHz5cqpWrQqAj48PAwcOZNeuXQQEBBQ7ZxEREan4bL70lpiYSI8ePQo1SQB33HEH3bt3Z+vWrTeUxLhx42jevDnNmjUzj2VlZZGYmEjbtm0tYtu1a8eFCxdISkoCYNOmTbRq1QoXFxdzTPv27cnLyyMhIcEcExwcbG6SAEJDQ3Fzc2PDhg03lLOIiIhUfDY3StnZ2bi5uVnd7u7uzuXLl4udwLJly/jtt9949dVXLcaPHTtGTk4Ovr6+FuN16tQBIDk5mUuXLnHq1KlCMV5eXri7u5OcnAzA4cOHC8WYTCZq1qxpjhERERH5O5svvd1///189913RERE4ORkuVtOTg4rVqzAz8+vWCc/ceIEU6ZMYcqUKYXunEtPTweuNGBXK2jWMjIyrMYUxBUs1k5PT79uTHE5OICnp6vN8U5Ophs6T3E5OZmKlVdpK6jbnnK6URWlFtVhX1SHfVEd9qUs6nBwuPZ2m2eUBgwYwO7du+nZsydxcXEcOHCAAwcOsHr1anr27Mlvv/1Gv379bE7MMAxefvllWrZsSbt27YrcfqWAoitwdHS8ZoxhGDg6/q88W2JERERErmbzjFKbNm149dVXefvttxkxYoR53DAMKlWqxIsvvkj79u1tPnFsbCwHDhxgxYoV5Obmmo8FkJubi4eHB0ChGZ+Czx4eHuZZoqJmhTIzM83HcHd3LzLm4sWLRa65soVhwPnzl2yOL6uuPjc3r1h5lbaCuu0ppxtVUWpRHfZFddgX1WFfyqIOb2/3a84q2dwoAURERPDYY4+xefNmjh8/jmEY1KxZk5CQEKpUqVKsxOLi4vjrr78IDQ0ttK1evXpMnDgRk8nE0aNHLbYVfPb19cXNzQ0fHx9SUlIsYlJTU8nIyDCvS/L19S0Uk5eXx/Hjx4uczRIRERGBYjZKAFWqVKFDhw7/+MSvvfYaFy9etBh777332LdvH7Nnz6ZmzZqsXr2aNWvW0KdPH/Ols7i4ODw8PKhfvz4AzZs3Jz4+njFjxpjvfIuLi8NkMtGkSRNzzMKFC0lLSzM3dAkJCWRmZhISEvKPaxEREZGKqdiNUkm5++67C41VqVIFFxcXHnjgAQAGDx5M3759ef7553nqqafYuXMnCxYsYOTIkbi6XpmOGzBgACtXrmTgwIH06dOHI0eOMH36dLp06UL16tUB6NGjB0uWLCEyMpIhQ4aQlpZGdHQ0YWFhNGrUqOyKFhERkZuKXa9kbtasGbNmzeLQoUMMGTKEFStWMGbMGJ555hlzzD333MPChQvJzMzkueeeY9GiRfTt25dXXnnFHOPl5cXHH39MlSpVGDVqFDExMbRv356YmJjyKEtERERuEuU2o1SUt956q9DYI488Uuj9b38XFBTEF198cc0YPz8/Fi9e/E/SExERkX8Zm2eU8vPzSzMPEREREbtjc6PUsWNHPvroo9LMRURERMSu2NwopaSkmBdQi4iIiPwb2NwohYaG8v3339/wKz9EREREbjY2L+a+7777+Oijj2jdujUNGjTA29u70Os/HBwcmDx5coknKSIiIlIebG6UPvjgA/PvCQkJRcaoURIREZGKxOZGaf/+/aWZh4iIiIjduaEHTubn5/Pnn3+SnZ1d0vmIiIiI2I1iNUopKSkMGzaMxo0b06JFC3bs2MHmzZsJDw8nMTGxtHIUERERKRc2N0pHjhwhPDycbdu20aJFC/O4yWTi8OHD9OvXj19++aVUkhQREREpDzY3StOnT6dy5cqsWrWKiRMnYhgGAE2aNGHVqlXcdtttzJ49u9QSFRERESlrNjdKW7ZsoXv37nh7e+Pg4GCxzcfHhx49erBnz54ST1BERESkvNjcKGVnZ3Prrbda3e7s7ExWVlaJJCUiIiJiD2xulO677z7WrVtX5Lbc3Fy+/fZb/P39SywxERERkfJmc6M0aNAgfv75Z0aNGsWWLVsAOHHiBD/++CO9e/dm79699O3bt9QSFRERESlrNj9wslWrVrz55ptMnjyZlStXAvDqq69iGAaVKlXixRdfpF27dqWWqIiIiEhZs7lRAujUqRNt27Zl06ZNHDt2jPz8fGrUqEFISAhVq1YtrRxFREREykWxGiUAd3d32rZty7lz53B0dFSDJCIiIhVWsRqlQ4cO8e6775KQkMClS5cA8PDw4OGHH2b48OHccccdpZKkiIiISHmwuVHavXs3vXv3Jicnh7CwMGrXrk1+fj5Hjhzh22+/5aeffuKzzz6jdu3apZmviIiISJmxuVF6++23cXd3JzY2tlAzdPDgQXr37s3UqVN57733SjxJERERkfJg8+MBdu3aRe/evYucMfLz86NPnz5s3ry5RJMTERERKU82N0q33noreXl5VrffcsstVK5cuUSSEhEREbEHNjdKERERLF68mN9//73QtjNnzvDJJ5/QpUuXEk1OREREpDxZXaP00ksvFRrLysriySefpEWLFvj6+uLg4MCJEyf46aefqFSpUqkmKiIiIlLWrDZKX3/9tdWd4uPjiY+PtxjLzMxk7ty5jBgxouSyExERESlHVhul/fv3l2UeIiIiInbH5jVKIiIiIv82xXoy9/Lly9m0aRNnz54lPz+/0HYHBwc++uijEktOREREpDzZ3CjFxMQwd+5cnJ2d8fb2xtFRk1EiIiJSsdncKH399deEhoYya9YsXF1dS+TkhmHw0Ucf8dlnn3Hq1CnuuusunnnmGZ544glzTEJCAjExMfz+++94e3vTs2dP+vXrZ3Gc3bt3M23aNPbs2YObmxudOnVi2LBhODs7m2OOHDnCW2+9RWJiIiaTifbt2zN69Gjc3d1LpBYRERGpeGxulDIyMmjXrl2JNUkAc+fOZebMmQwbNoyGDRvy008/MWrUKEwmE48++ihJSUlERUXRoUMHhg8fzo4dO5g2bRqGYdC/f38AUlJSiIyMJDAwkBkzZnDo0CFiYmLIyMhg/PjxAJw/f54+ffpQrVo1pk6dSmpqKtHR0Zw+fZq5c+eWWD0iIiJSsdjcKLVo0YItW7YQHh5eIifOyclh4cKFdO/encGDBwPQrFkz9uzZw5IlS3j00UeZOXMmdevWJTo6GoCwsDByc3OZM2cOvXr1wsXFhXnz5uHh4cH777+Pi4sLLVu2pHLlykyaNIlBgwbh4+NDbGwsFy5cYPny5VStWhUAHx8fBg4cyK5duwgICCiRmkRERKRisXmh0auvvsrBgwcZOXIkq1evZtu2bWzfvr3Qj61MJhOffPIJAwcOtBh3dnYmKyuLrKwsEhMTadu2rcX2du3aceHCBZKSkgDYtGkTrVq1wsXFxRzTvn178vLySEhIMMcEBwebmySA0NBQ3Nzc2LBhg805i4iIyL+LzTNKJ0+eJD09nZUrV7Jq1apC2w3DwMHBgX379tl0PEdHR/z9/c37pqam8tVXX/Hzzz/z+uuvc+zYMXJycvD19bXYr06dOgAkJycTEBDAqVOnCsV4eXnh7u5OcnIyAIcPH6Zjx44WMSaTiZo1a5pjRERERP7O5kbp9ddf58KFC/Tv35+77roLJ6diPVngmtasWcNzzz0HwEMPPUTHjh3NDdffF1u7ubkBV9ZMpaenFxlTEJeRkQFAenr6dWOKy8EBPD1tX6/l5GS6ofMUl5OTqVh5lbaCuu0ppxtVUWpRHfZFddgX1WFfyqIOB4fr5GDrgf773/8ydOhQnnnmmX+aUyF169ZlyZIlHDhwgHfffZeBAweaX4XiYKUCR0dHDMOwGmMYhsUjDGyJEREREbmazY3SHXfcUWpNRa1atahVqxbBwcG4u7vz4osvmpugv8/4FHz28PAwzxIVNSuUmZmJh4cHcGXGqaiYixcvUqNGjRvK2TDg/PlLNseXVVefm5tXrLxKW0Hd9pTTjaootagO+6I67IvqsC9lUYe3t/s1Z5Vs7nwGDBjARx99xO+//14SeZGWlsby5cs5c+aMxXjdunUBOH78OCaTiaNHj1psL/js6+uLm5sbPj4+pKSkWMSkpqaSkZFhXrvk6+tbKCYvL4/jx48XWt8kIiIiUsDmGaX9+/fj6OhIx44dqVWrFrfddhsmk+W6m+K8wiQ/P5+xY8fy7LPPmtcnwZU71AAeeOABgoKCWLNmDX369DFfOouLi8PDw4P69esD0Lx5c+Lj4xkzZoz5zre4uDhMJhNNmjQxxyxcuJC0tDSqVKkCXHmQZWZmJiEhIbZ+BSIiIvIvY3OjFB8fj6OjI3fccQc5OTmcOnXqH53Yy8uLHj16MG/ePCpXrswDDzzAjh07mDt3LuHh4dx9990MHjyYvn378vzzz/PUU0+xc+dOFixYwMiRI80PvhwwYAArV65k4MCB9OnThyNHjjB9+nS6dOlC9erVAejRowdLliwhMjKSIUOGkJaWRnR0NGFhYTRq1Ogf1SEiIiIVl4NRsBioHOTk5LB48WK+/PJLTp48yR133EF4eDgDBgwwr4dau3YtM2fOJDk5GR8fHyIiIgq9wiQxMZFp06axb98+qlatypNPPlnoFSYHDx5k8uTJ7Ny5Ezc3N9q0acOYMWNu+BUm+fkGqam23zHn6enKgaNpvPzBphs6ny0mD26Of+0qdnVNuqJcJ4eKU4vqsC+qw76oDvtSVmuUHB2tL1Iq10bpZqZGyTYV5T9WqDi1qA77ojrsi+qwL/bQKNl86a137942xX388ce2HlJERETErtncKB0/frzQWH5+Pn/99RdZWVnUqFGDe++9t0STExERESlPNjdK69atK3I8Ly+PH3/8kXHjxtG/f/8SS0xERESkvP3jJ0iaTCbatm1LeHg4b7/9dknkJCIiImIXSuxR23fddRf79+8vqcOJiIiIlLsSaZSys7P59ttv8fb2LonDiYiIiNiFf3zXW3Z2NsnJyVy4cIFhw4aVWGIiIiIi5e0f3fUGV9Yo3X333Tz++OP06NGjxBITERERKW//+K43ERERkYqqxBZzi4iIiFQ0VmeUZs+efUMHHDp06A0nIyIiqbf0zQAAIABJREFUImJP/nGj5OBg+X4UNUoiIiJSUVhtlH788cfr7pyRkUFMTAzr16/HycnJ5vfBiYiIiNwMrDZKNWrUuOaOq1at4q233uKPP/6gUaNGTJw4ET8/vxJPUERERKS82HzXW4Fjx47x2muvsWnTJjw9PZk0aRKdO3cujdxEREREypXNjVJOTg7z5s3jww8/JCsri6eeeorRo0dTtWrV0sxPREREpNzY1Cht2bKF1157jeTkZO69914mTJhAUFBQaecmIiIiUq6u2SidO3eOyZMns3LlSipXrszIkSPp27cvTk7FvmInIiIictOx2vF89tlnxMTEkJ6eTuvWrRk3bhx33nlnWeYmIiIiUq6sNkqvvfaa+fd169bZ9AoTBwcH9u7dWzKZiYiIiJQzq43Sk08+WehhkiIi/x97dx5XY/r/D/x12iwVLdIM2ZeQJKW0UU2WYkyTZT62ipQlDJJkH1tKlmSNSGlmiiwTsidEaWFi7LJGpdJO6/37w6/zdXSOFjr3ffJ+Ph7zeOi+L3nd5ui8z3Vf9/sihJDvichCaf369eLMQQghhBDCObQpLiGEEEKICFQoEUIIIYSIQIUSIYQQQogIVCgRQgghhIhAhRIhhBBCiAhUKBFCCCGEiECFEiGEEEKICFQoEUIIIYSIwGqhVFlZib/++gs///wzdHV1YWVlBS8vLxQWFvLH3L59G5MmTYKuri5MTU2xadMmlJWVCXyfZ8+eYfr06dDX14ehoSFWrFgh8D0AICsrC25ubjA0NISenh7mz5+Pt2/fiuU6CSGEECKZRHbmFoe9e/diy5YtcHJygpGREZ4+fYqtW7fi8ePHCAwMxPPnz+Ho6AhdXV1s2bIFT548webNm1FYWIjly5cDAPLy8uDg4AA1NTV4e3sjOzsbGzZsQHp6Onbv3g0AKC8vh5OTE4qLi7Fy5UqUl5dj48aNmDp1KiIiIiAjw+pfAyGEEEI4irUKgWEY7N27F7/99hvc3NwAAMbGxlBWVsa8efNw7949HDx4EIqKitixYwfk5OQwaNAgNG3aFGvWrMG0adOgrq6O0NBQ5Ofn49ixY1BWVgYAqKurw8XFBf/++y90dHRw8uRJ3L9/H6dOnUKXLl0AAD179sSIESNw9uxZ2NjYsPXXQAghhBAOY+3WW1FREUaOHIkRI0YIHO/cuTMA4MWLF4iNjYWFhQXk5OT454cNG4aKigpcvXoVABAbG4v+/fvziyQAMDU1hby8PGJiYvhjunbtyi+SAPC/rhpDCCGEEPI51maUFBQUsHTp0mrHz58/DwDo0qUL3rx5g06dOgmcV1FRgYKCAp4+fQoASE1NxciRIwXGSEtLQ0NDQ2DM598HANq3b88fQwghhBDyOU4tzvn3338REBAAKysrtGjRAsDHgupz8vLy/MXaBQUFtRrTtWtXoWOeP39er6w8HtCyZbNaj5eRka7Xn1NXMjLSdcrV0Kqum0uZ6quxXAtdB7fQdXALXQe3iOM6eLwaMjTYn1xHSUlJmD59OjQ0NLBmzRqUlpYCAHhCroBhGEhJ/d9dw281htRMWlpK6N+lKFVD61ooMgyDiorKOv0eQggh5FvjRKF06tQpLFq0CB07dsTevXuhrKyMoqIiAKj2mD8AFBcXQ1FREcDHGSdhY4qKitC2bdsaxwibjaoNhgHy8t7Xery4qvry8oo65aqrli2bobSCwdO0vAb7Mzq1bQk5aV6DXkd9VP0/5FquuqLr4Ba6Dm6h6+AWcVyHqqrCF2eVWC+U9u/fD29vbxgYGGD79u38AkheXh7q6urVbo1lZ2ejsLCQv+aoU6dO1cZUVFTg1atXGDp0KH/Mw4cPq/3ZL168gI6OTkNcVqP2NC0Pi3fGNtj3XzfDBJrtlRrs+xNCCCG1xep9p0OHDmH9+vWwtrbG3r17+UVSFRMTE0RHR/NvwwHAmTNnIC0tDQMDA/6Y+Ph45Obm8sdcvXoVxcXFMDY2BvDxKbhHjx4hNTWVP+bx48dITU3ljyGEEEII+RxrM0rZ2dlYu3Yt2rZtiwkTJuDu3bsC59u3b4+pU6fi5MmTcHFxgYODA549e4ZNmzZh7NixaNOmDQBg/PjxOHjwIBwdHeHq6orc3Fxs2LABAwcORL9+/QAANjY22LVrF6ZOnQo3NzcwDIONGzeiW7dusLa2Fvu1E0IIIUQysFYoXblyBe/fv0daWhomTJhQ7byPjw9++eUX7Nu3Dz4+PpgzZw6UlZUxefJkzJ49mz9ORUUFwcHBWLduHRYsWAB5eXkMGzYMCxcu5I+Rk5PD/v37sXbtWixduhRycnIwMTHBokWLqCs3IYQQQkRirUqwtbWFra1tjeP09fURHh7+xTHdu3dHUFDQF8f8+OOP2LZtW10iEkIIIeQ7R8/GE0IIIYSIQIUSIYQQQogIVCgRQgghhIhAhRIhhBBCiAhUKBFCCCGEiECFEiGEEEKICFQoEUIIIYSIQIUSIYQQQogIVCgRQgghhIhAhRIhhBBCiAhUKBFCCCGEiECFEiGEEEKICFQoEUIIIYSIQIUSIYQQQogIVCgRQgghhIhAhRIhhBBCiAhUKBFCCCGEiECFEiGEEEKICFQoEUIIIYSIQIUSIYQQQogIVCgRQgghhIhAhRIhhBBCiAhUKBFCCCGEiECFEiGEEEKICFQoEUIIIYSIQIUSIYQQQogIVCgRQgghhIhAhRIhhBBCiAhUKBFCCCGEiECFEiGEEEKICJwplO7duwctLS2kp6cLHL969SpGjRoFHR0dWFpaYt++fdV+7+3btzFp0iTo6urC1NQUmzZtQllZmcCYZ8+eYfr06dDX14ehoSFWrFiBwsLCBr0mQgghhEg2GbYDAEBqaiqmTZuG8vJygePJycmYPn06rK2t8fvvvyMpKQk+Pj5gGAZOTk4AgOfPn8PR0RG6urrYsmULnjx5gs2bN6OwsBDLly8HAOTl5cHBwQFqamrw9vZGdnY2NmzYgPT0dOzevVvs10sIIYQQycBqoVReXo6wsDBs3LgRsrKy1c5v3boVvXr1woYNGwAAAwcORHl5OXbt2oVJkyZBTk4OAQEBUFRUxI4dOyAnJ4dBgwahadOmWLNmDaZNmwZ1dXWEhoYiPz8fx44dg7KyMgBAXV0dLi4u+Pfff6GjoyPW6yaEEEKIZGD11ltSUhJ8fX0xZcoULFiwQOBcSUkJEhMTMWTIEIHjQ4cORX5+PpKTkwEAsbGxsLCwgJycHH/MsGHDUFFRgatXr/LH9O/fn18kAYCpqSnk5eURExPTUJdHCCGEEAnHaqHUpUsXnD9/HrNmzYK0tLTAuZcvX6KsrAydOnUSON6hQwcAwNOnT/H+/Xu8efOm2hgVFRUoKCjg6dOnAD7e2vt8jLS0NDQ0NPhjCCGEEEI+x+qtt1atWok8V1BQAABQUFAQOC4vLw8AKCwsFDmmalzVYu2CgoIax9QVjwe0bNms1uNlZKRrHvQNyMhI1ylXfb6/ODT0ddRH1bVzLVdd0XVwC10Ht9B1cIs4roPH+/J5zjz19jmGYQAAPBFXICUl9cUxDMNASur/Lq82YwghhBBCPsWJp96EUVRUBIBqMz5VXysqKvJniYTNChUXF/O/h4KCgtAxRUVFaNu2bb3yMQyQl/e+1uPFVdWXl1fUKVddNZbrqI+qa+darrqi6+AWug5uoevgFnFch6qqwhdnlTg7ndK+fXtIS0vjxYsXAservu7UqRPk5eWhrq6O58+fC4zJzs5GYWEhf11Sp06dqo2pqKjAq1evqq1dIoQQQgipwtlCqUmTJtDX18fZs2f5t9gA4MyZM1BUVETv3r0BACYmJoiOjkZpaanAGGlpaRgYGPDHxMfHIzc3lz/m6tWrKC4uhrGxsZiuiBBCCCGShrOFEgDMmDEDycnJmDdvHmJiYrBlyxYEBgZi2rRpaNbs43Tc1KlT8fbtW7i4uCA6Ohr79++Hl5cXxo4dizZt2gAAxo8fDzk5OTg6OuLcuXM4dOgQ3N3dMXDgQPTr14/NSySEEEIIh3G6UDIyMoK/vz+ePHkCV1dXREZGYuHChXB2duaP6dKlC/bt24fi4mLMmTMH+/fvx+TJk7FkyRL+GBUVFQQHB0NJSQkLFizA5s2bMWzYMGzevJmNyyKEEEKIhODMYm47OzvY2dlVOz548GAMHjz4i79XX18f4eHhXxzTvXt3BAUFfU1EQgghhHxnOD2jRAghhBDCJiqUCCGEEEJEoEKJEEIIIUQEKpQIIYQQQkSgQokQQgghRAQqlAghhBBCRKBCiRBCCCFEBCqUCCGEEEJEoEKJEEIIIUQEKpQIIYQQQkSgQokQQgghRAQqlAghhBBCRKBCiRBCCCFEBCqUCCGEEEJEoEKJEEIIIUQEKpQIIYQQQkSgQokQQgghRAQqlAghhBBCRKBCiRBCCCFEBBm2AxDCBnn5JpCRqdvnBBkZaQBAy5bNav17yssrUVRUUqc/hxBCCHdQoUS+SzIyUiitYPA0La/B/oxObVtCro7FGCGEEG6hQol8t56m5WHxztgG+/7rZphAs71Sg31/QgghDY8+7hJCCCGEiECFEiGEEEKICFQoEUIIIYSIQIUSIYQQQogIVCgRQgghhIhAhRIhhBBCiAhUKBFCCCGEiEB9lAiRYNRhnBBCGtZ3VSidOHECO3fuxMuXL9G2bVtMmzYNtra2bMcipN6owzghhDSs76ZQioqKwoIFC2Bvbw8zMzOcP38eHh4eaNq0KYYNG8Z2PELqjTqME0JIw/luCqVNmzbB2toaixcvBgCYmZkhLy8Pfn5+VCgRwjK6hUgI4arvolB6+fIlXrx4gfnz5wscHzp0KKKiovDy5Uu0a9eOpXSEkMZyC5EKPkIan++iUEpNTQUAdOrUSeB4hw4dAABPnz6lQokQljWGW4iNpeAD6l701afgA6joI9zHYxiGYTtEQztx4gTc3Nxw4cIFaGho8I8/f/4cQ4YMwebNm2FjY1On71nfv7bKyob765aS4jXY9/4cXUfN6Drqjq6jZuK8Dh6v4f+s7+AtiEiAL73Wv4sZpap/iJ//RVQdl5Kq+6ez+v4AkZYW3w+5hkTXwS10HdzSWK5DHMRRjBHyNb6LZ34VFRUBAIWFhQLHi4qKBM4TQgghhHzquyiUqtYmvXjxQuD48+fPBc4TQgghhHzquyiUOnToAA0NDZw+fVrg+NmzZ9GxY0e0adOGpWSEEEII4bLvYo0SALi6usLT0xMtW7aEubk5Ll68iKioKGzevJntaIQQQgjhqO/iqbcqf//9N/bt24c3b96gXbt2cHFxoS1MCCGEECLSd1UoEUIIIYTUxXexRokQQgghpD6oUCKEEEIIEYEKJUIIIYQQEahQIoQQQggRgQolQgghhBARqFAihBBCCBGBCiVChEhISODvBfi5/Px8REVFiTnR12EYBk+ePMGtW7f4W/cQQhqn8vJyvHv3DpWVlWxHaRSojxLHlJSUICUlBZmZmTA1NcX79+/xww8/sB3ri5YtW1an8atXr26gJN9Oz549ERYWhj59+lQ7FxcXBxcXF6SkpLCQrO6OHz+ODRs2IDs7m3+sVatWmDdvHuzs7FhM9mWN8XUlzN27d/HmzRsYGhpCQUGB7Th1UlJSgoiICNy4cQMFBQVQVlaGvr4+bG1t0bRpU7bjfVdiYmJw4sQJxMfH4+3btwAAKSkptG7dGqamphg6dChMTU1ZTimZvpstTCRBaGgo/Pz8kJ+fDx6Ph8OHD8PPzw+lpaXYsWMHmjdvznZEoWJjYwW+zszMRHl5Odq0aQM1NTXk5ubi5cuXkJOTQ48ePVhKWTMPDw+8efMGwMcZmJUrVwp943r27BlatWol7nj1cu7cOXh4eGDgwIH4+eef0apVK2RmZuLEiRNYsmQJWrRoASsrK7ZjCtVYXlefyszMhLu7OwwNDTFz5kwcPHgQa9euBcMwUFFRQXBwMLp27cp2zFrJzc2Fvb09Hj58iA4dOkBVVRUvXrzAiRMnEBISgj///BMtW7ZkO2ajFxcXBy8vLzx69Ai6urqwtrZG27Zt0axZM+Tn5yM9PR3Jyck4cuQINDU14ebmBhMTE7ZjSxSaUeKIw4cPY9myZbC3t4eFhQUcHR0RERGBtLQ0eHp6YuzYsfDw8GA7Zo0iIyPh6+sLf39/gdmYx48fY+bMmZgwYQIcHBxYTCjapUuXcODAAQDA9evXoa2tXa1QkpKSQosWLTB58mShs01cY2dnh65du8LHx6fauYULF+LZs2cIDw9nIVndSPLr6lPu7u64fv06vLy8YGJigoEDB0JTUxPu7u5Ys2YNFBQUsGvXLrZj1sqyZcsQHR2NHTt2CPw/SUlJwcyZM2FlZYWVK1eyF7COzp07h5s3b6KgoKDaOR6Ph1WrVrGQ6stWrVqF6OhoODg4YPjw4VBTUxM5NisrC4cOHcJff/0FS0tLzv+/KSwsRGhoKGJjY/H27Vts3boVly9fRq9evWBkZCTeMAzhhGHDhjHe3t4MwzBMeXk5o6mpydy5c4dhGIYJCQlhLCws2IxXaxYWFsyxY8eEnjt58iRjamoq5kT1M3HiRObx48dsx/hq2trazOXLl4Weu3z5MqOjoyPmRPXTWF5XRkZGzD///MMwDMMkJCQwmpqazKVLlxiGYZjo6GhGT0+PzXh1YmRkxISHhws9Fx4ezpiYmIg5Uf1t2LCB0dTUZPT09BgLC4tq/1laWrIdUaht27YxHz58qNPvKSoqYvz9/Rso0beRnp7OWFlZMTo6OsykSZOYHj16MHfu3GFmzZrFaGlpMdeuXRNrHrr1xhGvXr0Sef+4W7du/HvOXPfu3Tu0aNFC6DlZWVkUFxeLOVH9hISEsB3hm1BTU0NmZqbQc+np6WjWrJmYE9VPY3ldFRUV4ccffwQAXL58GXJychgwYAAAQE5ODowETfB/+PCBfy2f++GHH5Cfny/mRPV37NgxjB07lpOzRl/i6upa59/TvHlzzJo1qwHSfDteXl6QlZXFhQsX0LJlS/Tu3RsA4Ofnh2nTpmH79u1inVWiQokjfvjhB6SkpMDY2LjauXv37nF+QXeVvn37YufOndDT0xN4Y8vOzoa/vz8MDQ1ZTFd7JSUl2L17Ny5duoTi4mKhb2BnzpxhIVndmJubY8uWLejRowe0tLT4x+/cuYOtW7fCwsKCxXS111heVx07dkRCQgJ0dHRw5swZGBgYoEmTJgCAf/75Bx07dmQ3YB10794dJ0+eFPoB78SJExKz1gr4WPQNGzaM7Rh1lpubixYtWkBK6v8eYC8tLcXx48fx4MEDKCkpYcCAAdDX12cxZd1dvXoVq1evhqqqKioqKvjHpaSkMHHiRLi5uYk1DxVKHDFq1Cjs2LEDTZs25b95ffjwARcuXMDOnTsxadIklhPWjoeHByZNmgQLCwv069cPKioqyMrKQnJyMhQVFbFjxw62I9bK2rVrcejQIRgYGKBbt24CP4gkyZw5c3D9+nWMHj0a7du3h5qaGt6+fYsXL16gY8eOWLBgAdsRa6WxvK6cnZ3h4eGBwMBAFBcXY/ny5QCAMWPG4L///sPGjRtZTlh7M2bMwLRp05Cbm4vhw4ejVatWyMrKwokTJxATEyNR1zJ48GBcvHhR6AdVLjMyMhJ4OjcrKwsODg548uQJFBUVUVZWhu3bt8PKygobN26EnJwcy4lrp6Kigv8BQtg5cc+80mJujmAYBitWrMChQ4f4X/N4PACAjY0NfHx8IC0tzWbEWsvIyEBQUBCSk5ORm5sLZWVlGBkZwcHBAUpKSmzHqxVDQ0M4OTnBxcWF7Shf7cOHD4iIiEBiYiLy8vLQokUL9O/fH3Z2dhJz6w1oHK8rAEhKSkJSUhIMDAzQt29fAICvry+MjY0l7o06IiICmzdvRlZWFv9Yq1atMHfuXIwePZrFZHVTWFiIMWPGoFWrVtDR0anW2oDH49XrNldD69GjB8LDw/mF0vz583Hjxg1s3boV/fr1AwCcP38eixYtwvjx4zF//nw249aas7MzCgoKEBQUBFlZWWhpaeHIkSPo1asXpk+fjoqKCuzZs0dseahQ4pinT58iLi4OeXl5UFRUhL6+PjQ1NdmO9d3R1dXFzp07+etHCCHCMQyD1NRU5OXloWXLlujcuTP/Q56k2L59O/z9/QFA6AdSHo+HO3fuiDtWjT4vlHR1dbF48WKMGTNGYFxQUBCCgoJw6dIlFlLW3YMHDzB+/HjIy8tjwIABiIyMxMiRI/H48WM8efIEoaGhAksJGhrdeuOYTp06oVOnTmzHqJPIyEiYmZlBSUkJkZGRNY7/+eefxZDq65iamuLy5csSWSgtW7YM06ZNg4aGRo1NG7n62LMwmZmZuHnzJsrKyvhT75WVlXj//j0SExPh6+vLckLhGlPjzIyMDKiqqkJGRgYZGRn84woKCvxWGp8+PKCuri72jPVx8OBB2NnZYeHChRI1O/k5GRkZdO7cudpxTU1N5OXlsZCofjQ1NREREQF/f39cu3YN0tLSiImJgYGBAdauXSv2vmlUKHEEwzA4cuSIyMXDPB4PgYGBLKX7Mnd3d4SHh0NJSQnu7u5fHMvj8SSiUBo5ciSWLl2Kd+/eoV+/fkK7DHP1OmJjYzFhwgT+r79EUj75nz17Fm5ubigrK+Nn/vT2tLA3B65oTI0zzc3N+WtiBg0aVOPr5969e2JK9nVKSkrwyy+/SGSRlJCQgBYtWqBDhw4wMTFBfHw89PT0BMZcuHAB7du3Zylh/XTs2JEz69zo1htHbNy4EXv27IGGhgZ++OEHoT+AuPrIelpaGtTU1CAnJ4e0tLQax7dt21YMqb5OTW9YPB5PYt4EGgM7OzvIyspixYoVCA0NRUVFBZydnRETE4PNmzdj165dEtFtWNIbZx49ehTm5uZQVlbGkSNHaiyUfv31VzEl+zru7u5QUVGBp6cn21HqZPDgwXj16hUAoEmTJmjZsiWys7Px559/ok+fPrh//z527NiBc+fOYc2aNRg1ahTLiWvvw4cPOHLkCJKSkpCXlwdVVVUYGRlhxIgRkJER7xwPFUocYWpqip9//lkium/XVnFxMYqKiqCkpARZWVm249RJYyn4GgsdHR1s3LgRVlZW+Oeff7Bv3z4cO3YMAODj44Pbt29z9oPEpywtLfH777/jl19+qXbu1KlT8PLywpUrV1hI9n0LDw+Hj48PtLS00KdPH8jLywuc5/F4mDZtGkvpvqy4uBgPHjzAvXv3cP/+fTx48ABLly6FtrY2jhw5Am9vb8yYMQOOjo5sR621ly9fwsHBAW/evOFvj5OVlYUXL16gW7duOHDgAJSVlcWWh269cURhYaHE9LSpSXx8PHx9ffHff//xbyH26dMHc+fOFX/r+XqS5CJoyJAhdbqlJgn9oKSkpPj7hnXo0AGpqamorKyElJQUzMzMcPToUZYT1o6kN86szRrET3H19vTnqto0xMfHIz4+vtp5LhdKzZs3h66uLnR1dauds7a2hq2trcS1N1mzZg2kpKRw/PhxdO/enX/8/v37cHV1xfr16+Ht7S22PFQocYSuri6Sk5NhYGDAdpSvkpCQACcnJ3Tq1Alz5syBqqoqMjMzcfr0aTg7OyMoKEhimp+9efMGO3fu5O819Ndff+HEiRPQ1NSEra0t2/FE6tevH79QqqysxMmTJ6GoqIhBgwbx18TExsYiJycHv/32G8tpa6dTp064efMm+vfvj86dO6O0tBT3799Hr169UFRUhNLSUrYj1oqkN878fA3ip+vFPj8GSE6hdP/+fbYjNAhJav/xqYSEBKxbt06gSAI+LomYP38+/vjjD7HmoUKJI6ZPnw43NzeUl5eLXDxc1ReDy/z8/GBkZISAgACBH5gzZ86Ei4sL/P39+RvPctmTJ08wfvx4NGnSBCYmJvzbPIWFhfD09ESTJk1gbW3Nckrh1q9fz/+1r68v+vTpg8DAQIEfmqWlpZgxYwbnZzCq/Pbbb1i1ahWKi4sxd+5cDBgwAEuWLMGYMWMQEhIi1keFv4akN868cOEC/9f37t2Du7s7Zs6cCWtra7Ru3Rrv3r3DxYsX4e/vDy8vLxaTfltFRUXVbsdxwU8//VTrsTweD+fPn2/ANN+OoqIiysvLhZ6TlZUV+1IOWqPEEZ8vHv60yKh6ukcSFg/37dsXW7Zsgbm5ebVzly5dwvz585GcnCz+YHU0depUFBUV4cCBA5CSkkLv3r0REREBLS0tLFy4EE+ePEFERATbMWtkaGiI9evXC72tGxMTg/nz5yMpKYmFZHUXHByMtLQ0eHp64uXLl3B2dsazZ8/Qtm1b7NixQ2L6jTWWxpl2dnawtraGs7NztXNBQUE4fPgwTpw4wUKyuistLUVISAgSEhKEtp948OABbt26xXLK6nr06AEej4eePXuiV69eNY5fs2aNGFJ9vbCwMOzYsQPbtm2DtrY2//iLFy8wY8YMjB8/nv9krzjQjBJHBAcHsx3hm2jRooXIWYqioiKJ6S6elJQEX19fyMnJCew1BHx8kmfmzJksJas7Uf1T0tPTRW4TwEX29vb8X7dr1w5RUVF49+4dVFRUWExVd+rq6kIf2qioqMDZs2cxZMgQFlLV3ZMnT0S+OXfp0oX/NJYk8PX1RXBwMLp3746cnBw0adIEKioqePjwIcrKyji7iezq1atx+vRpxMfHo6ioCDY2NrCxsUG3bt3YjvZVTp8+jeLiYowdOxbt2rVD69atkZubi2fPnqGiogLBwcEC75kNvc6SCiWOkPS1SVUGDBgAf39/6OnpCTSby8jIgL+/v8Qs5paVlRW57iU/P19i9kyytLSEr68vWrduLbA9xsWLF7Fp0ybOryEpLS3F+fPn8fr1a3To0AEDBw7kF3c8Hk/iiiRhXr9+jfDwcERERCArK0siZo6Bj31uIiMjhbZlOHToULX1JVx25syzyE8yAAAgAElEQVQZTJ48GR4eHti1axfu3bsHPz8/ZGRkYOLEiaisrGQ7olBjxozBmDFjkJOTg7Nnz+LUqVPYvXs3unTpguHDh8PGxkbi+icBHzeJ/3wj+Hbt2gnMLokT3XrjkCdPnsDf3x83btxAQUEBlJWVoa+vD1dXV3Tp0oXteLWSkZGBUaNGobCwEHp6evyNMpOSkqCgoIC//voL7dq1YztmjebOnYuHDx8iKCgIqqqq/L2GOnfuDEdHR6irq8PPz4/tmDXKz8+Hk5MTbt++jaZNm0JZWRk5OTkoLS2FiYkJtm/fztlZpbS0NDg6OuLVq1f8WyEaGhrYtm0b5xsz1qSyshLR0dEICwtDbGwsKioq0KtXL9ja2grMnHHZ2bNn8fvvv6Nv376wtLSEiooKsrOzcfr0aTx8+BB79uyRmA9GvXv35ue9ePEi1qxZg4sXLwL4WPTt378fp06dYjll7WRlZeH06dOIiopCcnIyevbsyZ9patOmDdvxJBIVShzx4MEDjBs3Ds2aNYOlpSVUVVXx9u1bREdH4/379/j7778lZg3G27dvsW/fPn6jsKpNWCdPngw1NTW249XK69ev8b///Q8FBQXQ0tJCUlISBgwYgKdPn6K0tBR///23xHxSYxgGMTExSExMRH5+PpSVlTFgwADOv4nNnz8f169fx+LFi9GrVy88ffoUPj4+UFJSQnh4ONvx6iU9PR2HDh3C4cOHkZGRAR6PBzs7O0yePBldu3ZlO16dXbx4Edu3b8fdu3fBMAykpKSgq6uLefPmSczTrQBgZGQEb29vDBw4EE+ePMGIESOQkJAABQUFJCQkwMXFBTdv3mQ7Zp1lZGTgzz//RGBgICorK3H37l22I9VJTExMtYkDMzMzseegQokjnJ2d8e7dOwQHB6N58+b848XFxXB0dISqqip27tzJYsLa8fb2ho2NDWtTpN/Su3fvEBQUhLi4OOTm5kJBQQEGBgb8GSXSsExNTTFv3jyBbsKxsbGYOnUq4uLi+H2VuK6qUP37779x5coVyMjIwMrKCoMHD8bcuXMREhKC/v37sx3zq5SUlCAvLw9KSkoSc1v6U7NmzUJpaSm2bt0KGRkZGBgYYPny5bC1tcXevXtx4MABiWoEmpGRgTNnzuDMmTNITk6GvLw8LC0t4ePjw3a0WikpKcGMGTNw7do1yMrK8mcrKyoqYGBggICAALHOhNMaJY5ITEzEhg0bBIok4GMzsalTp2LJkiUsJaub8PBwmJqash3jm1BWVsa8efPYjvFVarMhK1c3Yc3Nza22QbS2tjYYhkFmZqbEFEqWlpbIyMhA3759sWzZMgwfPhyKioooKChgO9pX+XRT3Crv3r0T+FpSPlC4urpi4sSJcHZ2RkhICMaPH4/ly5cjNDQUd+/exbhx49iOWKM3b97gzJkzOH36NFJSUvh3J6ZMmQIzMzOJKmC3bNmCW7duYfPmzRg2bBh4PB4YhkFUVBSWL1+Obdu2wc3NTWx5qFDiiC81BpOSkqr25BVXaWlp4dq1axKx79bnIiMjYWZmBiUlpVp1IOb6QmhA+Ka4xcXFyM3NhZKSEqdn/srLy6vt6VTVy0ZSGkwCH9/AunXrBisrK/Tv3x+KiopsR/omGtOmuD179sSpU6fw8OFDAICbmxsUFBSQnJyMGTNmwMXFheWEwr169Yo/c3T79m00b94c5ubmmDp1KgYOHChRxdGnTp06hTlz5gj0quPxeLCxsUFmZiaCg4OpUPoe9e3bF3v27IGZmZnAlOKHDx+wZ88eoe3puUhLSwsHDhzA2bNn0bVrV7Rq1UrgPI/Hw6pVq1hK92Xu7u4IDw+HkpJStQ7En+PxeBJRKFUtSP1camoqXF1dOd1hvLGIjIxEREQEAgMDsWHDBvTs2ROjRo3CwIED2Y72VdatW1etUCouLkZiYiLi4+Oxbt06lpLVXdWSgar1LzweD9OnT2c5Vc2srKwgJSWFfv36YenSpQLF0eeze4DkzPDl5+eLfGqye/fuyMrKEmseWqPEEU+ePMHo0aP595Krnha7ePEiioqKEBoaWquGYmyztLT84nkejyfQ3ZdL0tLSoKamBjk5ue9iU9xTp07B398fUVFRbEcRqkePHggPD0efPn34xyoqKvhPIErCv4dPlZeX49KlS4iIiOCvd6moqMC8efNgb28vtBu/pPLy8kJWVhY2btzIdpRa0dPTw9atWyVuJvzTpz9rs7+jpMzw2dnZwdDQUGi/saqNo8X5FCIVShzy4MEDbN++vdrTYq6urhLVk4RIhitXrsDV1RUpKSlsRxGqR48e1W69AcJvyQHAnTt3xBHrm8jJycGxY8dw9OhRPHr0iL+eZPjw4TV+2JAE8fHxmDlzpsR0fbe3t4e2tnaNM8lcU9fNoH/99dcGSvJtHTt2DJ6enpgwYQKGDx/Onzg4efIk/vzzTyxZskSsnbmpUCLk/6vNwucqXL6F+ClhC24rKyvx5s0brFu3DhUVFXX+YSsu27Ztq9N4rnZPrklKSgqOHDmCqKgo5OfnS8yn/i8JCAhAYGAg4uPj2Y5SK97e3ggJCcGPP/4ocUsGGqutW7di7969KCsrA/Dx6VE5OTk4OTnh999/F2sWKpQ4JC8vD//++y8KCgqEdoLl6pqYIUOG1Grat0pDt5uvr7p8kufyLcRPVe0F9TmGYdCsWTP4+/s3mqcUJV1VF3IbGxu2o9SKsA8WFRUVSE9PR1xcHEaPHi0xxYWkLhnYtWsXnJyc6rRJbElJCfbu3QtXV9cGTPZtVL0nVt1h6du3LytPu9Jibo6IjY3FrFmz8OHDBwirXbm8eLhfv378N+PKykqcPHkSioqKGDRoENTU1JCbm4vY2Fjk5OTgt99+YzmtaKIWPksyYTu483g8KCgoYMCAAVBQUGAhVe1kZGRAVVUVMjIyQmfGPicpC1VFkZOTk5giCRD+RGXVa8vZ2VkiFkNXkdR/+69fv8bQoUMxZcoUWFtbQ1VVVeTYnJwcHDlyBKGhoRKxFismJgZxcXH8dUopKSmYO3cupk2bhgEDBog1C80ocYStrS0YhsGiRYugoaEBKSmpamMkYfGwr68vkpOTERgYKNDyoLS0FDNmzECbNm0427fnU4WFhdWKiPj4eBgYGNRp9oxtCQkJ6NWrF/+x+k/l5+cjNjZW4BFcLunZsyfCwsLQp08fkTNjn2oMt6wIqaurV6/C29sbqamp6NevH7S1taGhoYHmzZsjPz8f6enpSE5Oxp07d9C5c2fMnz8f5ubmbMf+olOnTsHNzQ1mZmYICAgAADx69Ahr1qxBYmIidu7cKdanRqlQ4og+ffrA398fgwYNYjvKVzE0NMT69ethYWFR7VxMTAzmz5/P6QWet27dgqenJ2xsbDB79mz+8Xfv3sHY2Bht2rTB1q1boaWlxWLK2vu02PhcXFwcXFxcOLuY++jRozA3N4eysjKOHDlSY6EkKQtVGwt7e3usWLFC6D6U9+/fh4eHB44fP85CsrqztLQU+fqSkpJC8+bN0aFDB0ycOJGzG5hHR0fjxIkTiIuLQ3Z2Nv94q1atYGpqiqFDhwr9ucxFI0eOhIGBAZYuXVrt3OrVq/Hvv//i8OHDYstDt9444scff8SHDx/YjvFN5OXlCT2enp7O2Q1YAeDp06dwcnKCmppatcJCXl4eXl5e2LlzJyZNmoTjx49zdnNfDw8PvHnzBsDHtUgrV64Ueovt2bNn1RatcsmnhY+dnR2LSUiVxMRE/tKAGzduICEhATk5OdXGRUdH4/nz5+KOV28///wz9u/fDwUFBf6SgezsbFy5cgXZ2dmwsrLC69ev4ejoiL1798LY2JjtyNVYWFjwC6EPHz4gPz9fYreUefHiBRYvXiz0nJWVFY4cOSLWPFQocYSzszP8/PzQq1cvzr4B14alpSV8fX3RunVrgR8mFy9exKZNmzi7zgr4uDCybdu2+Ouvv6rdqpKTk4OtrS1++uknjB49Gjt37uRsQz1ra2scOHCA/7W0tDSkpaUFxkhJSUFPTw+TJ08Wd7zv2rhx4zB9+nSJnTmOiIjA0aNHwePxwOPx8Mcff1QbU1VIjR49Wtzx6u3du3fQ1tbG3r17qy0ZmD59Olq1agU/Pz8sXboU27dv52Sh9KmmTZtKdF8uVVVV/Pfff0LXIj148EDsC7qpUGLR50+LvXz5EkOGDEGrVq2q7fkGcPdpsU95enri8ePHmDJlCpo2bQplZWXk5OSgtLQUJiYmnO5TkpCQgDlz5ghdz1NFUVERjo6O2LdvnxiT1Y25uTl/DcKkSZOwcuVKobdHiPg9evRIot/AlixZgtGjR4NhGEycOBGrVq2q9tqSlpaGoqKiRL3moqKisGHDhmpbScnJycHe3h4LFy7EsmXLYG1tLXBLnjSMn3/+Gdu2bYO8vDysrKygqqqKnJwcXLx4Ef7+/hg/frxY81ChxKJPnxar+lrStWjRAuHh4YiJiUFiYiLy8/OhrKyMAQMGwMjIiO14X5SdnV2rBfOdO3dGZmamGBJ9vZCQkGrH8vPz0aJFCxbSEBsbG+zZswft27fHjz/+yHacOlNQUICenh4AIDg4GFpaWl/8YCEppKWlBdb1fCorK4s/SyYlJVVtdpZ8e66urkhNTcXKlSsFZi0ZhsGQIUMwZ84cseahQolF69evZztCg+DxeAKzGpKiVatWSEtLQ//+/b84LiMjAyoqKmJKVT8vX75EUFAQjI2N8dNPPwH4ePtz5cqVePv2LdTV1bF48WIMGTKE5aTfl7S0NMTHx8PS0hLNmzcXukZMEmaOs7Oz0bVrV4FNio8ePYrHjx9DU1MTI0eOlKi1MRYWFvD19YWamprA01RXr17F5s2bYWlpibKyMhw7dgyamposJv0+yMrKYuvWrXj48CGSk5ORm5sLRUVF6OnpCWzbIi5UKLGsqsnc69ev0aFDBwwcOJDTC55rIy4uDpcuXUJxcXG1nlBc7nBrbGyMv//++4sbxTIMg7CwMGhra4sxWd28fPkSY8aMwYcPH/j7oT19+hS///47lJWVsWjRIqSmpmLevHk4cOAA9PX1WU5cM0lf21OldevWnF6nVxteXl4IDQ3FvHnz4OTkhMrKSjg5OSExMREtWrRAUVERwsLCEBwcXO1WFlctWbIEr169gouLS7UlAwYGBvD09MS5c+cQFRWF3bt3sx33u9G9e3f+9l05OTnIzMxEZWWl0PY5DYkKJRalpaXB0dERr1694hcUGhoa2LZtGytV87ewf/9+eHt7o0mTJlBRUan2yC2XexA5Ojpi1KhRmD9/PpYuXVpt1ignJwdr167FrVu3EBwczFLKmu3atQtKSkoIDg5G69atAQBBQUEoLy/Hxo0b+TNmpaWl2LNnj0QUSpK+tqeKsAagkuTw4cMIDg7GxIkTYWVlBeDjAu+EhARMmDABS5cuRUZGBiZOnIg9e/aI/RZJfSkoKCAkJATXr19HXFwc3r17B3V1dfTv35/fDqBv3744ffo02rRpw3LaL7ty5QpSUlKQmZkJZWVlGBoacn7Zw+cKCwuxbt06aGlpYcKECYiKioK7uzsqKirQuXNnBAYG4ocffhBbHuqjxKL58+fj+vXrWLx4MXr16oWnT5/Cx8cHSkpKCA8PZztevVhaWkJPTw9r166VqKn3KlFRUVi8eDHKy8uhpaWFtm3boqKiAq9fv8bdu3chLS2N5cuXY9SoUWxHFcnCwgKurq4CTx2Zm5uDYRjExMTwj0VHR8PT0xNxcXFsxKyT5cuX4/Xr11i9erVEru35XNU2H5mZmfj111/x9u1bdO3alfP/Zv73v/+hd+/eAv1tJk2ahFu3buHatWtQVFQEAISGhiI0NFSsO7w3pKKiIs6vxcrKysKMGTNw+/ZtyMnJQUVFBdnZ2SgvL4eRkRG2bdsm9CEhLvrjjz9w/PhxrFq1CiNGjMBPP/0EZWVlzJgxA1u2bEH37t2xceNGseWhGSUW3bhxAwsWLOBPxXfp0gXNmjXD1KlTkZeXx8qeNl8rKysLY8aM4fwPfFGsra2hpaWFkJAQXL16FQ8ePIC0tDTatGkDe3t7jB8/HhoaGmzH/KKsrCx06NCB//WrV6+Qnp6OkSNHCoxTVFREUVGRuOPVS2NZ2wP83was5eXl4PF4MDExwaZNm5CRkYEDBw58cRsKtj1+/BgzZszgf11SUoJbt26hT58+/CIJADQ1NZGWlsZGxHopLS1FSEgIEhISUFZWxp/hr6ysxPv37/HgwQPcunWL5ZRftn79erx+/Rp79uyBmZkZ//j58+exZMkSeHt7C23nwEUXLlzAokWLMGLECNy5cwdpaWlYuHAhfvrpJ5SXl2PFihVizUOFEotyc3PRqVMngWPa2tpgGAaZmZkSWSj16NEDjx494mz32tpo3749lixZwnaMepOXl0dBQQH/64SEBPB4vGrT7y9fvoSSkpK449VLY1jbAwABAQEICQnBwoULYWFhgcGDBwMAZs2ahTlz5mDz5s1Ys2YNyylFKysrE7gFmpKSgrKyMhgaGgqMe//+fZ02amWbr68vgoOD0b17d+Tk5PCXDjx8+BBlZWWYNWsW2xFrFB0djWXLlgkUScDHBo05OTnw9fWVmEIpNzcXnTt3BvBxRwcZGRn+/nQtW7ZESUmJWPNQocSi8vJyyMgI/i/49CkSSeTp6Qk3NzfIy8tDV1dX6LoSSd+8lOv69u2LU6dO8XdEP378OKSlpQUWQjMMg/DwcKFbm3CRpK/tqRIWFobZs2fD3t4eFRUV/OO6urqYO3cu/Pz8WExXMw0NDTx+/JhfGF2+fBk8Hg+mpqYC4+Lj4yVib8oqZ86cweTJk+Hh4YFdu3bh3r178PPz46+3qqysZDtijeTk5ARm9T7F9XVVn2vbti0ePHgAfX19nD9/Hn379uXvLhATEyP2WX0qlMg35eDggPLycixatEjkwm3avLRhTZ06FQ4ODsjIyADDMEhMTMTYsWP5i9OvX7+OAwcO4NatW9i/fz/LaesmJiYGN27cQEFBAZSVlaGvr1/tEzSXZWZminxism3btsjNzRVzoroZNmwYAgIC0L17d1RUVCA8PBzt2rUT6AGXkpKCP//8Ew4ODiwmrZvs7Gx+W4Du3bvz14iqq6vDxcUF+/fv5/ys0rhx4+Dn5wcdHR2BW9PFxcUICAjAmDFjWExXN//73/+wfv16hIaGIjU1FZs2bQIAzJ49G+fPn8eyZcvEmocKJY7i8tNhXyIpU7uNmb6+Pnbv3o09e/YgOzsbkydPxrx58/jnFyxYgOLiYixbtkzoFgFcVFJSghkzZuDatWuQlZXlL1QNCAiAgYEBAgICJKKtRvv27XHlyhWhW2AkJiZyfvuiqVOnIj4+HpMmTQKPx0PTpk0FtvKZPHky4uPj0alTJzg5ObGYtG4UFRVRVlYGAOjQoQPevHmDwsJCKCgooGPHjvy9E7lmypQp/F8zDIMnT57AysoK/fr1g6qqKvLz85GcnIzy8nL+E7CSwMHBAaqqqkhISMCsWbNgY2MD4OOs2erVq8W+PQ4VSiwT1Yp97Nix1Y7duXOnoeN8tS/t4F5RUYELFy6IMc33y9TUtNrtkCo7d+5Ex44dJao795YtW3Dr1i1s3rwZw4YNA4/HA8MwiIqKwvLly7Ft2za4ubmxHbNGDg4OWLFiBcrLy/k71r98+RJJSUkIDAzEggUL2I74Rc2aNcPBgweRmJiIrKws9O/fX2DxuZKSEqZOnQonJyehGzFzlZ6eHg4ePAgDAwN06NABzZo1w/nz52Fra4t///2Xs9dSVdxVqZrZKysrQ3p6OgDwW81Iym4CVUaMGIERI0YIHBPnk26fovYALNq2bVudxnN96leU169fIzw8HBEREcjKyqJbb6TOBg0ahMmTJ8PR0bHauaCgIAQHB+PixYviD1YPu3fvxq5du/Dhwwf+01WysrKYMmWKwMwfEZ979+5h4sSJ6NWrF0JCQviLuzU1NXH37l2MGzdOoCUC+fZ27doFOzs7tG7dGrt27friWB6Ph2nTpokpGRVKpIFUVlYiOjoaYWFhiI2NRUVFBXr16gVbW1vY29uzHa9WsrOzERQUVK1526RJkzi/hUljo6urK3LX9mvXrmH69OlISUlhIVn9FBYW4ubNm/ytGXR0dKCsrMx2rO9aRkYGHj58CDMzMzAMg927dyM5ORl9+vTBtGnTJOYpvpKSEv7PLFNTU7x//16szRnrq0ePHvwHTGpquMzj8cT6gZsKJRZlZGRAVVUVMjIyyMjIqHG8JDwtlp6ejkOHDuHw4cPIyMgAj8eDnZ0dJk+ejK5du7Idr9Zu374NR0dHVFZW8u/3Z2VlISkpCS1atMDBgwcFehWRhmVnZwdDQ0N4eHhUO+fl5YUrV65IRHNDT09PzJw5U+hapNTUVGzYsAE7d+5kIdn3LSEhAb169RLaVDI/Px+xsbGwtrZmIVndhIaGws/PD/n5+eDxeDh8+DD8/PxQWlqKHTt2SEzDSa6hNUosMjc3R1hYGPr06YNBgwbVuICbq7esqjo+//3337hy5QpkZGRgZWWFwYMHY+7cubC1tZWoIgkAfHx80KVLFwQEBAj0Gnr79i2mTp2KNWvWYM+ePSwm/L7Y29vD09MTZWVlGD58OFq1aoWsrCycPHkSf/75J6f7Xr1+/Zr/62PHjsHKykroDvSXL19GbGysOKOR/8/e3p7/s/hzd+/ehYeHB+cLpcOHD2PNmjWwt7eHhYUF/zb16NGj4enpCX9/f6EfNLiIa3s7UqHEonXr1vE/Wa5bt05in3SztLRERkYG+vbti2XLlmH48OFQVFQUaHooaVJSUrBly5ZqDRnV1NQwe/Zszi+6bWxsbW3x4sUL7N27F6GhofzjsrKymDZtGiZMmMBiui9btWqVwNYxotYaMgwDCwsLccX67nl4ePCfZmMYBitXrhS6aPvZs2dCO8FzTWBgICZPnoyFCxcK9OgaMmQIMjMzsW/fPokplLi2tyMVSiz69AkxOzs7FpN8nTdv3qBbt26wsrJC//79RTY9kyTq6urIysoSeq6srEzi1ii9e/dOYGsGhmFQXFyMpKQkzvZX2bNnD0aOHMm/5Txnzhw4ODjg33//RV5eHlq0aIG+fftyvoP9H3/8gfj4eDAMAw8PD8yaNQvt27cXGCMtLQ1FRUWJadfQGFhbW+PAgQP8r6WlpavN9ElJSUFPTw+TJ08Wd7w6e/XqlcgnXbt164a3b9+KOVH92djYYM+ePWjfvj0n9nakQol8tcjISERERCAwMBAbNmxAz549MWrUKH4DN0nk5uaGlStXQkVFBT/99BP/eGJiIjZu3CgxTyc9ePAACxYswOPHj4We5/F4nC2Utm/fjn79+kFdXR09e/bk3xqRtNeVuro6f5+9yspKmJubi1y4nZGRIRFrEaucPn1a5P5oN2/eRHR0NMsJRTM3N4e5uTmAjxv7rly5El26dGE31Ff44YcfkJKSIvSBh3v37knEgu4qXNvbkQol8tW6deuGRYsWYcGCBbh06RIiIiLg5eUFLy8v8Hg83Lx5E9ra2pyaShVGS0tL4PZneXk5Zs2aBRkZGaioqCA/Px8fPnyAjIwMNm7cKBF7j/n4+CA3NxceHh6Ijo6GnJwcLCwscPnyZVy+fBnBwcFsRxRJQUEB+/fvx4sXL8AwDC5duoTU1FSR421tbcWYrn4WL16MsLAwoYVSYmIinJ2dcfPmTRaS1d327dvh7+8PRUVFlJeXQ1ZWFjIyMsjJyYGUlBRnC3BhQkJCqh27e/cu3rx5A0NDQ872UfrUqFGjsGPHDjRt2pR/C/fDhw+4cOECdu7ciUmTJrGcsPa4trcjPfVGGkROTg6OHTuGo0eP4tGjR2jWrBksLS0xfPhw/h5kXOPv71+ndWKS0NdKT08Pnp6eGD16NMLCwhAZGYmDBw8C+Hgri8fjcXZ/sZCQEKxfvx4VFRX8BpOiiPtx4brYt28fiouLAXzsnTZmzBihs0Y3b97EnTt3EB8fL+6I9WJlZQV9fX14eXnBz88Pb968gbe3N+7cuQMXFxfMnDkTEydOZDtmrWRmZsLd3R2GhoaYOXMmDh48iLVr14JhGKioqCA4OJjzD6QwDIMVK1bg0KFD/K+rfp7Z2NjAx8dH6EMEpGZUKJEGl5KSgiNHjiAqKgr5+fmcfUNrjLS1tbF//37o6+sjPj4erq6uSExMBABcunQJK1asEFhozDXv379Hfn4+Bg0ahF27dqFnz54ix3L1llVAQAC/GK2srISUlFS1MVJSUmjRogXmzJmD3377TdwR66V3797YvXs3TExMcO7cOWzYsAFnz54FAAQHByMiIgLHjx9nOWXtuLu74/r16/Dy8oKJiQkGDhwITU1NuLu7Y82aNVBQUKixCSJXPHv2DHFxcfweXfr6+tDU1GQ7Vr2kp6cjLi4OmZmZ+PXXX/H27Vt07doVcnJy4g3CEE743//+x1y6dIntGA2qpKSEOXnyJNsx6iQ5OZnx9/dnli9fzqSlpTGXL19msrKy2I5Va0OGDGGOHj3KMAzDpKenM5qamsyrV68YhmGYa9euMTo6OmzGq7UjR44wOTk5bMf4apqamsytW7fYjvFN9O/fn7l27RrDMAxz//59pmfPnsz79+8ZhmGYGzduMP369WMzXp0YGRkx//zzD8MwDJOQkMBoamryfx5HR0czenp6bMYTyd/fn7l58yZTUVHBdpRvbv369YyWlhajqanJ9OjRg7lz5w4zZcoUZvjw4WL/GVz9ow1hBdceh2wIcnJy/M0Nua60tBRz5szBuHHjsHv3boSHh+Pdu3cIDAzEL7/8ghcvXrAdsVasrKzg6+uLc+fOQV1dHZ07d4afnx+ePHmCoKAgzm/CWuXXX39tFJ2r79+/Dx0dHbZjfBPa2tr8GaNOnTpBWloacXFxAICnT1KOkJIAACAASURBVJ+K/1P/VygqKuI/XXX58mXIycnxn0CUk5P74m1fNm3fvh3jxo2DgYEBXF1dERoaimfPnrEd66sFBAQgJCQECxcuxLlz5/h//7NmzUJeXh42b94s1jy0mJsjuPY45Pduy5YtiI2NxY4dO2BiYsJ/c1uzZg2cnZ2xefNmsf9jrY9Zs2bh+fPnCA8Px+DBg+Hp6YlZs2YhMjIS0tLS2LRpE9sRG71ly5Zh2rRp0NDQwLJly744lsfjYdWqVWJK9nVcXFzg5OSEvLw87Ny5EyNHjoSHhweMjIwQExMDKysrtiPWWseOHZGQkAAdHR2cOXMGBgYGaNKkCQDgn3/+QceOHdkNKMKNGzeQmJiIpKQkJCYmYv369SgvL8ePP/4IY2NjGBsbw8jISOI+ZISFhWH27Nmwt7cX6Amlq6uLuXPnin1dJRVKHMG1xyG/d5GRkZg/fz4sLS0F/qFqaGhg9uzZWLt2LYvpaq9Zs2bYtm0bSktLAQBmZmaIjIzEf//9By0trWr9fMi3Fxsby2+IWVPnbUlqOmtoaIiwsDA8evQIALB8+XJISUkhOTkZw4YNw6JFi1hOWHvOzs7w8PBAYGAgiouLsXz5cgDAmDFj8N9//7G2a31NFBUVYWFhwX/KraSkBLdu3UJCQgJu3ryJpUuX4sOHD+jRowdMTEzg5ubGcuLayczMhLa2ttBzbdu2RW5urljzUKHEEVx7HPJ7l5eXJ3IvNyUlJRQWFoo50df59DZI+/btqUASo4sXLwr9dWOgpaUFLS0tAECTJk2wevVqlhPVz4gRI/Djjz8iKSkJBgYG6Nu3L4CPxeC8efOE9ibioiZNmsDQ0BCGhoYoKChAQkIC/vnnH5w/fx737t2TmEKpffv2uHLlitC/98TERLEvGaBCiSO8vLzYjvBNcG2Pnvrq2rUrTp48KbTT7eXLlzndmG7o0KHw8/NDjx49MGTIkBpnKSRhprKxvK4mTZoES0tLmJubo1OnTmzHqbPIyEiYmZlBSUkJkZGRNY6XpA9/enp60NPTEzgmSVsVlZWVISkpCVevXsW1a9fw4MEDAEDPnj3h5OQksms3Fzk4OGDFihUoLy+HpaUleDweXr58iaSkJAQGBor9/wsVShwTExODGzduoKCgAMrKytDX14eZmRnbsWqtsSxKnzFjBmbPno28vDxYWFiAx+MhOTkZ//zzD0JDQ+Hj48N2RJH69evH3wW9X79+EnU7R5TG8rpq3bo19uzZAx8fH7Rr1w7m5uawsLBA//79ISPD/R/H7u7uCA8Ph5KSEtzd3b84lsfjSVShFBcXh0uXLqG4uLja4m2urh179uwZrl69iqtXryI+Ph7v379HmzZtYGxsDGdnZxgbG3N+ix9hxo4di3fv3mHXrl04ePAgGIbB3LlzISsriylTpoh9b0fqo8QRJSUlmDFjBq5duwZZWVmoqKggOzsbFRUVMDAwQEBAAH9xIZctX74cr1+/xurVqyV+UXpkZCQ2btyI9PR0/jEVFRXMnTsXY8eOZTHZ96cxva6Aj73FLl++jKtXr+L27dto1qwZjI2NYWlpyekO42lpaVBTU4OcnBzS0tJqHN+2bVsxpPp6+/fvh7e3N5o0aQIVFZVqHy54PB4uXLjAUjrRevbsCXl5eRgaGsLIyAgmJiYSOVP5qaysLLx+/Rrt27eHjIwMbt68ye8JpaOjw8rCdCqUOMLb2xthYWFYu3Ythg0bxu9EHBUVheXLl2PcuHEScX/ZyckJ8fHxqKioaDSL0lNTU/n/ULt06SK0YSCXZGRk1Gk8Vxs1fqoxvq6qXL9+HVu3bsXNmzc53WG8MbO0tISenh7Wrl0rUW0NtLW1wTAMevfuDSMjI5iZmUFHR0ciO3CXlJRg8eLFiIqK4s/oWVtbY8WKFazPinF/rvc7cerUKcyZMwfW1tb8YzweDzY2NsjMzERwcLBEFEqSvCjd3t4epqamMDIyQu/evfmfKjt37sxysroZNGhQnW63ScIbsyS/rj7FMAz+++8/JCQk4MaNG0hKSkJBQQHU1NQwYsQIGBoash3xi2pqb/A5SVncnZWVhTFjxkhUkQQACQkJiI+Px9WrV3HmzBns3LkTCgoKMDQ0hImJCUxNTSXmwY0tW7YgKioKo0aNQq9evfD06VOEhYWhsrISW7ZsYTUbzShxhK6uLrZv3y50lf+1a9cwffp0pKSksJDs+2Fra4uHDx+CYRi0aNECAwYMgImJCYyNjaGhocF2vFo7cuQIv1DKy8uDr68vjIyMYG1tDTU1NeTm5uLixYu4dOkSFi1aJDFbZjQGenp6KC4uRtu2baGrqwt9fX0YGhpytk/P5z7fpzEzMxPl5eVo06YN/7X18uVLyMnJoUePHvj7779ZSlo3Y8eOxS+//CL2tS/fWnp6Ov5fe3caFNWV9gH8f0ESUZZBlGRcKKg42riwGNtmTS9qoiJGKM0Uo6jROCgSTdSRIYZghBpcJrFCcJckyjgKKnEqmUAQnRGhGlqgQWPQaAwxI7FxiQIiYsN9P1j0qwLabH3uvTy/L2n63g//k0L66XOfc86pU6eQn5+PwsJC3LlzB0OHDkVAQACCgoIEvbfVpEmTEBoaimXLlpneO3LkCOLj41FSUsK09YRmlATC3d293eWQJ0+eFNUHNSDOpvSjR4+irq4OJSUlKC0tRXFxMRITE/HgwQPTH5uAgAD4+vrC3t6eddx2hYWFmV4vW7YMoaGhrb7Zh4SEIDExEVlZWaIqlARz9lMnubu7o6KiArW1tbh37x7u37+P+/fvs45ltke3N/jqq6/w97//HZ9++ik8PT1N71+6dAlRUVGPzY4LXWxsLFatWoX+/fvDx8enzYUDYnhE/eKLL2L27NmYPXs2eJ5HWVkZDhw4gMzMTGRkZAh69thgMGDChAmPvadUKmE0GvG///2P6UpjmlESiKNHjyI2NhZz5sxBcHAwBg4ciBs3buDf//43/vnPf2Lt2rWi+LYjlab0Fo2NjSgvLzcVTmfOnEFdXR3GjBmD9PR01vGeydvbG1u3bkVAQECrawUFBYiKikJ5eTmDZB23ceNGpKWlwWg0guM4HD58GB9//DEMBgP27t0LZ2dn1hHNUldXB51Oh8LCQhQWFuLixYtwcHCAXC6HQqFAREQE64hm0Wg0WLFiBV5//fVW17755hskJSXh1KlTDJJ1nKenJ4xGI5qbm9t9bC3kIqPFrVu3UFpaCr1eD71ej++//x6NjY2QyWTw8/N75kpFlmQyGTIyMh4rupuamjB69GhkZmZi1KhRzLLRjJJAzJw5E1euXMGePXuwf/9+0/s2NjaIjIwURZEEPHzOXFZWhi1btrTZlJ6SkiKKXqsWLY8QamtrUVNTg+bmZhQVFeGHH35gHc0sTk5OOHPmTJuFkk6nE8W3ZODxs5/UajUmT54M4OERLcuXL8eWLVuQmJjIOKV57OzsoNFoTI+xzp8/j5SUFOTm5uL48eOiKZR+++03ODg4tHnNxsYG9fX1Fk7UeevWrRPlNhqXLl0yFUalpaW4cuUKeJ6Hm5sb/Pz8sGDBAigUCubN0F3Fej6HCiWGdu/ejRkzZpg+rJYvX4758+ejvLwcd+7cgYODA7y9vUX1Sy6FpvTm5maUlZWZ9ic5d+4ceJ7HiBEj4O/vj0WLFmH8+PGsY5pl9uzZ2Lp1KxoaGjBx4kQ4OTnh5s2byM7ORlpaGt577z3WEc0itLOfuqKmpgZFRUXQarXQarWorKyEo6MjQkJCoFKpWMczm7e3N7Zv346XX375sYLp5s2b+PTTTwXfmP6oRx9Xi8n06dMBPHws6Ovri6VLl8LPz080X4DMxbqIpUKJoa1bt2LcuHF44YUX4OHhgfT0dHh6euKVV15hHa3TampqMGLEiDavjRgxAjdu3LBwIvNlZGQgPz8fWq3WtBIpICAAc+fORUBAgGge7Txq6dKlqK2tRWpqKnbt2gXg4bezvn37YsWKFaKZqRTa2U+dFRYWhgsXLqCpqQkeHh547bXXoFQq4e3tzfzDoKNiYmIQEREBtVqNcePGYcCAAbhx4wZKS0thb2+Pbdu2sY74VKNHj+7Q//PvvvuuB9N0TlxcHPz8/ES3Mrc9iYmJsLOzM/3cMpP04YcfmjbRBR4WTqmpqRbLRYUSQ3Z2dvj8889N06X//e9/cfny5XbvF/JGdC3E3JT+wQcfwMnJCQsXLsTEiRPbLfjEhOM4xMTEICoqCmVlZbhz5w6cnJzg4+ODfv36sY5nNqGd/dRZgwcPRnh4OJRKJVxcXFjH6RKZTIavv/4aX3zxhemxj5OTExYsWID58+fjd7/7HeuIT7VkyRLRFadPEssXHXPI5XIAD49iMed9S6JmbobS0tKwYcMGNDU1mXp52iOWjejE3JQeHh6Os2fPAgC8vLwQFBSEgICAx/ZUErOqqipUV1djxIgR4DgOtra2rCOZLSMjA/Hx8Zg7dy40Gg0WLlyILVu2oLq6Glu2bMHq1asF+3s1b948xMfHC/p8QEJI+6hQYuzevXuoqamBUqnEjh074OHh0e69YnnunJycjD179jz2DcDGxgaLFi3CihUrGCZ7trq6Omi1WhQUFKCgoAC//PILHB0dTccDBAYGiu4IjRMnTmDTpk34+eefwXEcDh06hG3btsHR0REJCQmi2cV3586d2LFjBxoaGkxfKlrOfnr33XcZp2tfW6t5pKK5uRnffPMNCgoKcP36dbz//vsoKyvDmDFjMHz4cNbxCOkWVCgJxJdffgmVSsXkHJuuerIpHXi40aGYm9Jb/Pzzz8jPz0dBQQGKiopQX18PNzc3BAYGYu3atazjPdOJEyewbNkyTJw4EWq1GmvXrsWRI0dQVlaGpKQkREVFISoqinVMs9XV1Qni7KeOkGqhVFtbi7feegtnzpzB4MGDUVVVZdqyQa/X4x//+AfTJd2EdBuekC7y8vLii4uLeZ7neZlMxpeXlzNO1P0aGhp4nU7H/+Uvf+HHjBnDy2Qy1pHMMnPmTD42NpbneZ43Go38yJEj+e+++47neZ7ftm0b/+qrr7KMZ7a//vWv/JUrV9q89uOPP/JLliyxcCLzjRw5UpL/Jt5//30+MDCQr6io4B88eGD63aqtreXfeOMNfvHixawjEtItqJmbdJkUm9INBoNpbxK9Xo+Kigo0NzdjxIgRmDt3Lnx9fVlHNMuPP/7Y7nYML7/8MrZv327hROarqqoyvT569CgmTZrU5mPCvLw8FBQUWDJahz25mqc9ll7N0xXHjh1DTEwMZDLZY1s22NnZYfHixaKYcZWauro67N+/3/QoNDk5GXl5eRg1ahT8/PxYxxMtKpRIl0VGRmLDhg3Izc0Fx3FPXRbMcZxgC6X9+/ebCqNff/0VPM/D1dUVvr6+WLhwIXx9fQX/mOdJTk5OqKysRGBgYKtrlZWVgh7P+vXrcfLkSdPP0dHRbd7H8zzUarWlYnWK0WhkumqnJzQ0NGDAgAFtXnv++efR2Nho4US9m8FgwNy5c3H9+nV4enqisrISjY2Npg2Ad+/eTcVSJ1GhRLosIiICs2bNMrspXagSEhIwcOBA+Pr6ws/PD35+fhg8eDDrWF0ybdo0fPLJJ3jxxRdNxRLHcTh//jy2bduGKVOmME7Yvg8//BBFRUXgeR4xMTGIjo5udRK6tbU17O3tBT/Dt27dOsn1KI0ZMwYHDhyAUqlsde2bb76h/iQLS0pKgo2NDY4fPw5HR0eMGTMGAPDJJ58gMjISW7dupUKpk6hQEojw8HAsWbKkzT86YmBrawtbW1skJSWJosG2LV9//bXkVuq88847uHjxIqKjo9Gnz8N/7gsWLEBtbS18fHwEvQrxhRdewIwZMwA8XF31tMUOBoNBNKtCpWLFihV48803ERYWBqVSCY7jkJWVhe3bt+M///kP9uzZwzpir5Kfn4+EhAQ4Ozs/9ijUysoKc+fOFfyJCEJGhZJAXLx4sc0Tq8UmNDSUdYROk1qRBDx8BLJnzx4UFBRAq9Xizp07sLOzw4QJE6BSqUSzP9R7772H9PT0Ngul4uJiLF68GHq9nkGy3ksul+Pzzz/HRx99hJ07d4LneaSmpsLDwwPbt2+n2QsLa2pqavfA8aamJubnpYkZFUoCMW3aNOzevRuurq6i26eHCF9AQECbB+MK2WeffWY6WJXneRw6dAh5eXmt7tPr9XjuuecsHc9soaGhopxhNYdcLsfBgwfR0NBgKsIfPWqCWM748eOxa9cu+Pv7w8bGBsD/n5GWkZGBcePGsYwnarSPkkAsWrQIRUVFaGpqQr9+/TBw4MBW93z77bcMkhGxSUlJMftejuOwbNmyHkzTebt27TIddtvc3AwrK6tW91hZWcHBwQHLly/HH//4R0tHJEQwLly4gD/96U/o378/fH198dVXX2HGjBm4dOkSfvzxR+zfvx+jR49mHVOUqFASiNjY2Gfek5SUZIEkROxkMhk4joO1tfUzp9s5jhPkYZ9PkslkSE9Ph5eXF+sovVpHFmlwHIfvv/++B9OQJ/30009ISUlBUVERbt++bXrMHhUVBZlMxjqeaFGhRLqV2JvSW4h5HOHh4SgrK8Pw4cMRHByM4OBg0RwaS4St5cN21KhReOWVV9rtiWmxdOlSS8QipEdRj5LAXLt2DYWFhaiurkZoaCiuX7+O4cOHC7oH41FSaUoX8zgOHDgAg8GArKwsZGVlITk5GR4eHpg+fTqmTZsmmtVhcXFxiIyMxNChQxEXF/fUezmOw/r16y2UrPf6/PPPkZWVhZycHKSlpWHixImYNm0aAgMDTasqieWUlpZ26H7qU+ocmlESkI0bNyItLQ1GoxEcx5nOTTIYDNi7dy+cnZ1ZR3ymDz74AFVVVUhISBB1U7pUxgEAV69eNRVNFRUV8PLyQnBwMKZMmdJmL5xQaDQabNu2DTKZDBqN5qn3chyH48ePWygZaWpqQkFBAbKysnD8+HFwHIfJkycjODgYCoWizX4y0v1aHrM/6dGPdY7jwPM8OI5DRUWFJeNJBhVKArFr1y4kJydjzZo1UKvVmDx5Mo4cOYLGxkYsX74cSqUSiYmJrGM+k1Sa0qUyjidduXIF2dnZyM7OxoULFyCXy/HFF1+wjkVE7MGDB8jPz0dWVhZOnDiB559/Hq+++iqCg4Mxfvx41vEkTafTdej+CRMm9FASaaO5UoFIT0/H22+/jXnz5j22WZiPjw/eeecd0+ofoXNxcUFISAjrGF0mlXE8ycHBAQMGDICzszM4jkN5eTnrSGaJiIiARqOBSqWCu7s76zjkETY2NlCr1VCr1WhsbMS2bduwZ88eHDx4kGYwehgVPpZBhZJAVFdXY+zYsW1eGzJkCG7fvm3hRJ0jlZV5UhkHANy6dQu5ubnIzs6GTqeDtbU1goKCsHHjRsGfkdbCxcUFu3fvxqZNmzBs2DCoVCqo1WrI5XLqjRGA0tJSfPvtt8jJycGvv/4Kd3d3QR+PIxXUx2cZ9BdGIFxdXXHq1Cn4+/u3ulZcXCy6VUtib0pvIdZx3Lx5Ezk5OcjOzkZJSQmsra0RGBiIDRs2QKPRoF+/fqwjdshHH30EADhz5gzy8vKQn5+P/fv3w9bWFv7+/tBoNII9bFmqiouLkZ2djWPHjsFgMMDNzQ2vv/46pkyZQkvRLaSgoABz5swxvX4asezCL0TUoyQQGRkZiI+Px9y5c6HRaLBw4UJs2bIF1dXV2LJlC1avXm36ByF0UmhKB8Q7joiICJSWlqJPnz4IDAzE1KlToVarJbdjslarRXJyMvR6PTWqWohOp0N2djZycnJw8+ZNuLq6YsqUKZg6dSoVR0SyqFASkJ07d2LHjh1oaGgwrVqwsbHBwoUL8e677zJOZx6pNKWLeRwymQxWVlYYM2YM7Ozsnnovx3FITU21ULLO43ke586dw+nTp6HT6VBSUoLa2loMGjQIEyZMgEKhwOzZs1nHlLyW361x48Zh6tSpz9yAkpajW15NTQ1++OEHVFdXw8nJCWPHjn3m3wHydPToTUAiIyMxZ84c6PV63L59G/b29vDy8hLVOVFSaUoX8zjkcrnp9YMHDxgm6T7jx49HfX09hgwZAh8fH6xatQoKhQJubm6so/U6zc3NKC4uRklJyWPvtyxBf/Q1zfJZjtFoxMcff4wDBw7g3r17pvdtbW3x5z//mTb/7AIqlAQiNjYWUVFRGDZsGIKCgh67dvnyZWzevBnbt29nlM58UmlKF/M40tLSWEfodu7u7qioqEBtbS3u3buH+/fv4/79+6xj9Tr79u1jHYG049NPP8W+ffvw5ptvYuLEiXB2dsb169eRlZWFlJQU2NraYsGCBaxjihIVSgxVVVWZXh89ehSTJk2CtbV1q/vy8vKe2agnFFJpSpfKOKTi8OHDqKurg06nQ2FhIQ4fPoykpCQ4ODhALpdDoVAgIiKCdUzJo+XowpWZmYno6GgsWbLE9N6wYcMwbtw49O/fH3v37qVCqZOoUGJo/fr1OHnypOnn6OjoNu/jeV40y7jnz5+P+Ph4GI1GaDQacByHX375BSUlJUhNTcXq1atZRzSLVMYhJXZ2dtBoNKZdus+fP4+UlBTk5ubi+PHjVCiRXq2urg6jR49u85qvry9tLNsF1MzNkMFgQFFREXieR0xMDKKjo+Hq6vrYPdbW1rC3t4evr6/gl6S3kEJTOiCdcUhFTU0NioqKoNVqodVqUVlZCUdHRwQFBUGlUiE4OJh1REKYWblyJYxGI5KTk1tdW7duHW7cuIGUlBQGycSPCiWB+PLLL6FSqdpt3DYYDKI5zBR4+O1GzE3pLaQyDrELCwvDhQsX0NTUBA8PDyiVSiiVSnh7e9P+MKTX2rFjh+l1TU0N9u3bhxEjRuDVV1+Fs7MzampqcOrUKZSXlyMqKgqLFy9mmFa8qFASCA8PD6Snp8PT07PVteLiYixevBh6vZ5Bso55tCn9SWJqSpfKOKQiOjraVBy5uLiwjkOIIHRk7ypahdh51KPE0GeffYb6+noAD/uQDh06hLy8vFb36fV6QT92k0pTulTGIRXz5s1DfHw8XnrpJXpkIEDh4eFYsmQJlEol6yi91vnz51lH6BWoUGLIaDSaZiU4jkNmZmare6ysrODg4ICVK1daOp7ZpNKULpVxSIVOp8Pdu3dZxyDtuHjxIvr27cs6BnkCz/O4fPkyamtrMWDAgFZ9r6Tj6NGbQMhkMqSnp8PLy4t1lA6TSlO6VMYhFTKZDBkZGW0+jibsffDBB6iqqkJCQgJ+//vfs45DAPzrX//C5s2bcfPmTdN7AwcOxLvvvouwsDCGycSNZpQEQsxTqC+88AJmzJgB4OGuvWJtSpfKOAixhKtXr6KoqMh0yPLAgQNb3fPtt98ySNY7HTt2DDExMXjllVcQEhKCgQMHorq6Gl9//TXWrl0LBwcHTJo0iXVMUaIZJYbi4uIQGRmJoUOHIi4u7qn3chyH9evXWyhZ50mlKV0q4xAzmUwGT09Ps86pEsuZdVISGxv7zHuSkpIskIQAD1eGDh8+HJs2bWp1bc2aNaisrERGRgaDZOJHM0oMFRQUYM6cOabXTyPkJdBSaUqXyjikxGg0Sua8OqmhIkhYLl261O7+biEhIXj77bctnEg6qFBi6MSJE22+FhupNKVLZRxSsm7dOupRErhr166hsLAQ1dXVCA0NxfXr1zF8+HD6MmFhgwYNQnV1dZvXrl27BltbWwsnkg569CYQERER0Gg0UKlUcHd3Zx2n08TclP4oqYxDzKiZW/g2btyItLQ0GI1GcByHw4cP4+OPP4bBYMDevXvh7OzMOmKvkZCQgJycHOzYseOxo0y+++47LF26FEFBQfjb3/7GMKF4UaEkEKtWrYJWq8Vvv/2GYcOGQaVSQa1WQy6Xo08fmvgjvQ8VSsK2a9cuJCcnY82aNVCr1Zg8eTKOHDmCxsZGLF++HEqlEomJiaxj9hp37txBeHg4fvrpJ7i6umLQoEG4fv06rly5Ajc3N+zfvx8DBgxgHVOUqFASmDNnziAvLw/5+fk4e/YsbG1t4e/vD41Gg5kzZ7KO1yapNKVLZRxS8bTd0Ql7EydOxBtvvIHIyEg0NTVh9OjROHLkiOm/n3zySZs9fqTnNDQ04MiRIyguLsadO3fg4OAAuVyOsLAwevTWBTRVITCenp7w9PREdHQ0tFotkpOTkZOTg2PHjgm2UJJKU7pUxiEV1CwsbNXV1Rg7dmyb14YMGYLbt29bOBHp27cv5syZY/o7RroHFUoCwfM8zp07h9OnT0On06GkpAS1tbUYNGgQpk+fDoVCwTpiu6TSlC6VcRBiCa6urjh16hT8/f1bXSsuLqaZQAvoyNE+HMdh2bJlPZhGuqhQEojx48ejvr4eQ4YMgY+PD1atWgWFQgE3NzfW0TpEKk3pUhkHIT1l/vz5iI+Ph9FohEajAcdx+OWXX1BSUoLU1FSsXr2adUTJS0lJAcdxsLa2xrO6aKhQ6jzqURKIWbNmoaKiAnZ2dpDL5ZgwYQIUCgVGjhzJOlqHSKUpXSrjIKQn7dy5Ezt27EBDQ4Ppg9rGxgYLFy5sd08f0n3Cw8NRVlaG4cOHIzg4GMHBwTST1wOoUBKQuro66HQ6FBYWorCwEBcvXjQ14ykUCkRERLCOaDYxNqW3RSrjIKSn1NXVQa/X4/bt27C3t4eXl1e7R/+Q7mcwGJCVlYWsrCycPXsWHh4emD59OqZNm0bHLHUTKpQE7Pz580hJSUFubi44jkNFRQXrSJ3S0pSu1+tpHIRIxNNWJV6+fBmbN282beBKLOPq1aumoqmiogJeXl4IDg7GlClT2jyLj5iHniEISE1NDYqKiqDVaqHValFZWQlHR0eEhIRApVKxjmcWMTelP0oq4yCkO1VVVZleHz16FJMmTYK1tXWr+/Ly8p65cpR0vyFDhuCtt97CW2+93BJUlwAABUdJREFUhStXriA7OxuZmZlISkqCXC7HF198wTqiKFGhJBBhYWG4cOECmpqa4OHhgddeew1KpRLe3t6iWooulaZ0qYyDkO60fv16nDx50vRzdHR0m/fxPA+1Wm2pWKQNDg4OGDBgAJydncFxHMrLy1lHEi0qlARi8ODBCA8Ph1KphIuLC+s4nebu7o6KigrU1tbi3r17uH//Pu7fv886VodJZRyEdKcPP/wQRUVF4HkeMTExiI6Ohqur62P3WFtbw97eHr6+voxS9l63bt1Cbm4usrOzodPpYG1tjaCgIGzcuJEK1y6gHiWG5s2bh/j4eLz00kuso3QrqTSlS2UchPSEL7/8EiqVqt3GbYPBQM3EFnDz5k3k5OQgOzsbJSUlsLa2RmBgIKZOnQqNRoN+/fqxjih6VCgx1FvOspJKU7pUxkFId/Dw8EB6enqbf7+Ki4uxePFi6PV6Bsl6j4iICJSWlqJPnz6m4kitVqN///6so0kKPXoj3U4KTemAdMZBSHf57LPPUF9fD+BhH9KhQ4faPM9Nr9fjueees3S8Xuf06dOwsrLCyJEjce/ePWRmZiIzM7PNezmOQ2pqqoUTSgMVSqRbSaUpXSrjIKQ7GY1G05J/juPa/FC2srKCg4MDVq5cael4vY5cLje9fvDgAcMk0kaP3hiSyWTw9PSEnZ3dM+8Vy7eB6OhoKJVK0TelS2UchPQUmUyG9PR0eHl5sY5CSI+iQokhmUyGUaNGmf08OS0trYcTdY5UmtKlMg5CCCHdhx69MbZu3TrRN3PrdDrcvXuXdYwuk8o4COkpcXFxiIyMxNChQxEXF/fUezmOw/r16y2UjJCeQ4USIYQQsxQUFGDOnDmm109DvXxEKqhQIoQQYpYTJ060+ZoQKaNCiaHQ0FDJnLKdmJgoiaZ0qYyDkJ4WEREBjUYDlUoFd3d31nEI6TFUKDGUlJTEOkK3MRqNklieKpVxENLTXFxcsHv3bmzatAnDhg2DSqWCWq2GXC5Hnz700UKkg1a9kS6Tyg7jUhkHIZZ05swZ5OXlIT8/H2fPnoWtrS38/f2h0Wgwc+ZM1vEI6TIr1gEIIYSIl6enJ6Kjo3Hw4EHs2bMHf/jDH5CTk4PY2FjW0QjpFjQ/SgghpMN4nse5c+dw+vRp6HQ6lJSUoLa2FoMGDcL06dOhUChYRySkW1ChRLpMKk3pUhkHIZYwfvx41NfXY8iQIfDx8cGqVaugUCjg5ubGOhoh3Yp6lAghhHTYrFmzUFFRATs7O8jlckyYMAEKhQIjR45kHY2QbkWFEiGEkE6pq6uDTqdDYWEhCgsLcfHiRTg4OEAul0OhUCAiIoJ1REK6jAolQggh3eL8+fNISUlBbm4uOI5DRUUF60iEdBn1KBFCCOmUmpoaFBUVQavVQqvVorKyEo6OjggJCYFKpWIdj5BuQTNKhBBCOiwsLAwXLlxAU1MTPDw8oFQqoVQq4e3tTee8EUmhGSVCCCEdNnjwYISHh0OpVMLFxYV1HEJ6DM0oEUIIMcu8efMQHx+Pl156iXUUQiyGduYmhBBiFp1Oh7t377KOQYhFUaFECCGEENIOKpQIIYQQQtpBPUqEEELMIpPJ4OnpCTs7u2fey3EcUlNTLZCKkJ5Fq94IIYSYzWg04sGDB6xjEGIxNKNECCHELDKZDBkZGfD09GQdhRCLoR4lQgghhJB2UKFECCGEENIOKpQIIYSYJTQ0FE5OTqxjEGJR1KNECCGEENIOmlEihBBCCGkHFUqEEEIIIe2gQokQQgghpB1UKBFCCCGEtIMKJUIIIYSQdvwfoHLmzUZ1s5QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "trump['source'].value_counts().plot(kind=\"bar\")\n",
    "plt.ylabel(\"Number of Tweets\")\n",
    "plt.title(\"Number of Tweets by Source\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's now look at which device Trump has used over the entire time period of this dataset.\n",
    "\n",
    "To examine the distribution of dates I converted the date to a fractional year that can be plotted as a distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>786204978629185536</td>\n",
       "      <td>2016-10-12 14:00:48+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>PAY TO PLAY POLITICS. \\n#CrookedHillary https://t.co/wjsl8ITVvk</td>\n",
       "      <td>24915</td>\n",
       "      <td>2016.778689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786201435486781440</td>\n",
       "      <td>2016-10-12 13:46:43+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Very little pick-up by the dishonest media of incredible information provided by WikiLeaks. So dishonest! Rigged system!</td>\n",
       "      <td>22609</td>\n",
       "      <td>2016.778689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786189446274248704</td>\n",
       "      <td>2016-10-12 12:59:05+00:00</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>Crooked Hillary Clinton likes to talk about the things she will do but she has been there for 30 years - why didn't she do them?</td>\n",
       "      <td>18329</td>\n",
       "      <td>2016.778689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786054986534969344</td>\n",
       "      <td>2016-10-12 04:04:47+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Thank you Florida- a MOVEMENT that has never been seen before and will never be seen again. Lets get out &amp;amp;… https://t.co/t9XM9wFDZI</td>\n",
       "      <td>18789</td>\n",
       "      <td>2016.778689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786007502639038464</td>\n",
       "      <td>2016-10-12 00:56:06+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Join me Thursday in Florida &amp;amp; Ohio!\\nWest Palm Beach, FL at noon:\\nhttps://t.co/jwbZnQhxg9\\nCincinnati, OH this 7:30pm:\\nhttps://t.co/5w2UhalPIx</td>\n",
       "      <td>7761</td>\n",
       "      <td>2016.778689</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        time               source  \\\n",
       "786204978629185536 2016-10-12 14:00:48+00:00   Twitter for iPhone   \n",
       "786201435486781440 2016-10-12 13:46:43+00:00   Twitter for iPhone   \n",
       "786189446274248704 2016-10-12 12:59:05+00:00  Twitter for Android   \n",
       "786054986534969344 2016-10-12 04:04:47+00:00   Twitter for iPhone   \n",
       "786007502639038464 2016-10-12 00:56:06+00:00   Twitter for iPhone   \n",
       "\n",
       "                                                                                                                                                                    text  \\\n",
       "786204978629185536                                                                                       PAY TO PLAY POLITICS. \\n#CrookedHillary https://t.co/wjsl8ITVvk   \n",
       "786201435486781440                              Very little pick-up by the dishonest media of incredible information provided by WikiLeaks. So dishonest! Rigged system!   \n",
       "786189446274248704                      Crooked Hillary Clinton likes to talk about the things she will do but she has been there for 30 years - why didn't she do them?   \n",
       "786054986534969344               Thank you Florida- a MOVEMENT that has never been seen before and will never be seen again. Lets get out &amp;… https://t.co/t9XM9wFDZI   \n",
       "786007502639038464  Join me Thursday in Florida &amp; Ohio!\\nWest Palm Beach, FL at noon:\\nhttps://t.co/jwbZnQhxg9\\nCincinnati, OH this 7:30pm:\\nhttps://t.co/5w2UhalPIx   \n",
       "\n",
       "                    retweet_count         year  \n",
       "786204978629185536          24915  2016.778689  \n",
       "786201435486781440          22609  2016.778689  \n",
       "786189446274248704          18329  2016.778689  \n",
       "786054986534969344          18789  2016.778689  \n",
       "786007502639038464           7761  2016.778689  "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import datetime\n",
    "def year_fraction(date):\n",
    "    start = datetime.date(date.year, 1, 1).toordinal()\n",
    "    year_length = datetime.date(date.year+1, 1, 1).toordinal() - start\n",
    "    return date.year + float(date.toordinal() - start) / year_length\n",
    "\n",
    "trump['year'] = trump['time'].apply(year_fraction)\n",
    "trump.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I then used `sns.distplot` to overlay the distributions of Trump's 2 most frequently used web technologies over the years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'year')"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "years = trump[['source', 'year']].set_index('source')\n",
    "android = years.loc[years.index == 'Twitter for Android']\n",
    "iphone = years.loc[years.index == 'Twitter for iPhone']\n",
    "\n",
    "sns.distplot(iphone['year'], label ='iPhone')\n",
    "sns.distplot(android['year'], label ='Android')\n",
    "\n",
    "plt.legend()\n",
    "plt.title('Distributions of Tweet Sources Over Years')\n",
    "plt.xlabel('year')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Is there a difference between Trump's tweet behavior across these devices? \n",
    "\n",
    "First, we look at whether Trump's tweets from an Android device come at different times than his tweets from an iPhone. Twitter gives us his tweets in UTC Timezone, so I converted the times to Us Eastern Time, the timezone of New York and Washington D.C., since those are the places we would expect the most tweet activity from Trump."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>year</th>\n",
       "      <th>est_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>786204978629185536</td>\n",
       "      <td>2016-10-12 14:00:48+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>PAY TO PLAY POLITICS. \\n#CrookedHillary https://t.co/wjsl8ITVvk</td>\n",
       "      <td>24915</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-12 09:00:48-05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786201435486781440</td>\n",
       "      <td>2016-10-12 13:46:43+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Very little pick-up by the dishonest media of incredible information provided by WikiLeaks. So dishonest! Rigged system!</td>\n",
       "      <td>22609</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-12 08:46:43-05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786189446274248704</td>\n",
       "      <td>2016-10-12 12:59:05+00:00</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>Crooked Hillary Clinton likes to talk about the things she will do but she has been there for 30 years - why didn't she do them?</td>\n",
       "      <td>18329</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-12 07:59:05-05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786054986534969344</td>\n",
       "      <td>2016-10-12 04:04:47+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Thank you Florida- a MOVEMENT that has never been seen before and will never be seen again. Lets get out &amp;amp;… https://t.co/t9XM9wFDZI</td>\n",
       "      <td>18789</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-11 23:04:47-05:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786007502639038464</td>\n",
       "      <td>2016-10-12 00:56:06+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Join me Thursday in Florida &amp;amp; Ohio!\\nWest Palm Beach, FL at noon:\\nhttps://t.co/jwbZnQhxg9\\nCincinnati, OH this 7:30pm:\\nhttps://t.co/5w2UhalPIx</td>\n",
       "      <td>7761</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-11 19:56:06-05:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        time               source  \\\n",
       "786204978629185536 2016-10-12 14:00:48+00:00   Twitter for iPhone   \n",
       "786201435486781440 2016-10-12 13:46:43+00:00   Twitter for iPhone   \n",
       "786189446274248704 2016-10-12 12:59:05+00:00  Twitter for Android   \n",
       "786054986534969344 2016-10-12 04:04:47+00:00   Twitter for iPhone   \n",
       "786007502639038464 2016-10-12 00:56:06+00:00   Twitter for iPhone   \n",
       "\n",
       "                                                                                                                                                                    text  \\\n",
       "786204978629185536                                                                                       PAY TO PLAY POLITICS. \\n#CrookedHillary https://t.co/wjsl8ITVvk   \n",
       "786201435486781440                              Very little pick-up by the dishonest media of incredible information provided by WikiLeaks. So dishonest! Rigged system!   \n",
       "786189446274248704                      Crooked Hillary Clinton likes to talk about the things she will do but she has been there for 30 years - why didn't she do them?   \n",
       "786054986534969344               Thank you Florida- a MOVEMENT that has never been seen before and will never be seen again. Lets get out &amp;… https://t.co/t9XM9wFDZI   \n",
       "786007502639038464  Join me Thursday in Florida &amp; Ohio!\\nWest Palm Beach, FL at noon:\\nhttps://t.co/jwbZnQhxg9\\nCincinnati, OH this 7:30pm:\\nhttps://t.co/5w2UhalPIx   \n",
       "\n",
       "                    retweet_count         year                  est_time  \n",
       "786204978629185536          24915  2016.778689 2016-10-12 09:00:48-05:00  \n",
       "786201435486781440          22609  2016.778689 2016-10-12 08:46:43-05:00  \n",
       "786189446274248704          18329  2016.778689 2016-10-12 07:59:05-05:00  \n",
       "786054986534969344          18789  2016.778689 2016-10-11 23:04:47-05:00  \n",
       "786007502639038464           7761  2016.778689 2016-10-11 19:56:06-05:00  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trump['est_time'] = (\n",
    "    trump['time'].dt.tz_convert(\"UTC\") # Set initial timezone to UTC\n",
    "                 .dt.tz_convert(\"EST\") # Convert to Eastern Time\n",
    ")\n",
    "trump.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I also added a column called `hour` to the `trump` table which contains the hour of the day as floating point number computed by:\n",
    "\n",
    "$$\n",
    "\\text{hour} + \\frac{\\text{minute}}{60} + \\frac{\\text{second}}{60^2}\n",
    "$$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>year</th>\n",
       "      <th>est_time</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>786204978629185536</td>\n",
       "      <td>2016-10-12 14:00:48+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>PAY TO PLAY POLITICS. \\n#CrookedHillary https://t.co/wjsl8ITVvk</td>\n",
       "      <td>24915</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-12 09:00:48-05:00</td>\n",
       "      <td>9.013333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786201435486781440</td>\n",
       "      <td>2016-10-12 13:46:43+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Very little pick-up by the dishonest media of incredible information provided by WikiLeaks. So dishonest! Rigged system!</td>\n",
       "      <td>22609</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-12 08:46:43-05:00</td>\n",
       "      <td>8.778611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786189446274248704</td>\n",
       "      <td>2016-10-12 12:59:05+00:00</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>Crooked Hillary Clinton likes to talk about the things she will do but she has been there for 30 years - why didn't she do them?</td>\n",
       "      <td>18329</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-12 07:59:05-05:00</td>\n",
       "      <td>7.984722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786054986534969344</td>\n",
       "      <td>2016-10-12 04:04:47+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Thank you Florida- a MOVEMENT that has never been seen before and will never be seen again. Lets get out &amp;amp;… https://t.co/t9XM9wFDZI</td>\n",
       "      <td>18789</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-11 23:04:47-05:00</td>\n",
       "      <td>23.079722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>786007502639038464</td>\n",
       "      <td>2016-10-12 00:56:06+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>Join me Thursday in Florida &amp;amp; Ohio!\\nWest Palm Beach, FL at noon:\\nhttps://t.co/jwbZnQhxg9\\nCincinnati, OH this 7:30pm:\\nhttps://t.co/5w2UhalPIx</td>\n",
       "      <td>7761</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-11 19:56:06-05:00</td>\n",
       "      <td>19.935000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        time               source  \\\n",
       "786204978629185536 2016-10-12 14:00:48+00:00   Twitter for iPhone   \n",
       "786201435486781440 2016-10-12 13:46:43+00:00   Twitter for iPhone   \n",
       "786189446274248704 2016-10-12 12:59:05+00:00  Twitter for Android   \n",
       "786054986534969344 2016-10-12 04:04:47+00:00   Twitter for iPhone   \n",
       "786007502639038464 2016-10-12 00:56:06+00:00   Twitter for iPhone   \n",
       "\n",
       "                                                                                                                                                                    text  \\\n",
       "786204978629185536                                                                                       PAY TO PLAY POLITICS. \\n#CrookedHillary https://t.co/wjsl8ITVvk   \n",
       "786201435486781440                              Very little pick-up by the dishonest media of incredible information provided by WikiLeaks. So dishonest! Rigged system!   \n",
       "786189446274248704                      Crooked Hillary Clinton likes to talk about the things she will do but she has been there for 30 years - why didn't she do them?   \n",
       "786054986534969344               Thank you Florida- a MOVEMENT that has never been seen before and will never be seen again. Lets get out &amp;… https://t.co/t9XM9wFDZI   \n",
       "786007502639038464  Join me Thursday in Florida &amp; Ohio!\\nWest Palm Beach, FL at noon:\\nhttps://t.co/jwbZnQhxg9\\nCincinnati, OH this 7:30pm:\\nhttps://t.co/5w2UhalPIx   \n",
       "\n",
       "                    retweet_count         year                  est_time  \\\n",
       "786204978629185536          24915  2016.778689 2016-10-12 09:00:48-05:00   \n",
       "786201435486781440          22609  2016.778689 2016-10-12 08:46:43-05:00   \n",
       "786189446274248704          18329  2016.778689 2016-10-12 07:59:05-05:00   \n",
       "786054986534969344          18789  2016.778689 2016-10-11 23:04:47-05:00   \n",
       "786007502639038464           7761  2016.778689 2016-10-11 19:56:06-05:00   \n",
       "\n",
       "                         hour  \n",
       "786204978629185536   9.013333  \n",
       "786201435486781440   8.778611  \n",
       "786189446274248704   7.984722  \n",
       "786054986534969344  23.079722  \n",
       "786007502639038464  19.935000  "
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trump['hour'] = trump['est_time'].dt.hour + trump['est_time'].dt.minute/60 + trump['est_time'].dt.second/60**2\n",
    "trump.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use this time data along with the seaborn `distplot` function, I examined the distribution over hours of the day in eastern time that trump tweets on each device for the 2 most commonly used devices."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'fraction')"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hours = trump[['source', 'hour']].set_index('source')\n",
    "android = hours.loc[hours.index == 'Twitter for Android']\n",
    "iphone = hours.loc[hours.index == 'Twitter for iPhone']\n",
    "\n",
    "sns.distplot(iphone['hour'], label ='iPhone', hist = False)\n",
    "sns.distplot(android['hour'], label ='Android', hist = False)\n",
    "\n",
    "plt.legend()\n",
    "plt.title('Distributions of Tweet Hours for Different Tweet Sources')\n",
    "plt.xlabel('hour')\n",
    "plt.ylabel('fraction')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "According to [this Verge article](https://www.theverge.com/2017/3/29/15103504/donald-trump-iphone-using-switched-android), Donald Trump switched from an Android to an iPhone sometime in March 2017.\n",
    "\n",
    "Let's see if this information significantly changes our plot. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'fraction')"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "before2017 = trump[trump['year'] < 2017]\n",
    "hours = before2017[['source', 'hour']].set_index('source')\n",
    "android = hours.loc[hours.index == 'Twitter for Android']\n",
    "iphone = hours.loc[hours.index == 'Twitter for iPhone']\n",
    "\n",
    "sns.distplot(iphone['hour'], label ='iPhone', hist = False)\n",
    "sns.distplot(android['hour'], label ='Android', hist = False)\n",
    "\n",
    "plt.legend()\n",
    "plt.title('Distributions of Tweet Hours for Different Tweet Sources (pre-2017)')\n",
    "plt.xlabel('hour')\n",
    "plt.ylabel('fraction')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "During the campaign, it was theorized that Donald Trump's tweets from Android devices were written by him personally, and the tweets from iPhones were from his staff.\n",
    "\n",
    "This figure supports this theory. In the first graph the Tweeting times between iPhone and Android generally followed the same shape and pattern, yet in the second graph the Tweeting times for Android is still similar as the first graph but the Tweeting times for iPhone changes drastically. Because the Android Tweeting times are similar to the general trend, it would make sense that Trump's Android tweets were by him personally and that the iPhone tweets were by his staff. It also makes sense that he would use his staff to write tweets as he became busier when he was elected President.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sentiment Analysis\n",
    "\n",
    "I used the **[VADER (Valence Aware Dictionary and sEntiment Reasoner)](https://github.com/cjhutto/vaderSentiment)** lexicon to analyze the sentiment of Trump's tweets. VADER is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media which is great for our usage.\n",
    "\n",
    "An **advantage** is it a useful standardized tool to quantify and add context to Trump's tweets so we can potentially find interesting patterns/trends.\n",
    "\n",
    "A **disadvantage** is that is a biased program because it was created by humans who naturally have biased thinking. Since it does not \"read\" sentences and relationships between words, VADER cannot perfectly quantity and measure sentiment in Trump's tweets.\n",
    "\n",
    "i used this lexicon to calculate the overall sentiment for each of Trump's tweets. Here's the basic idea:\n",
    "\n",
    "1. For each tweet, find the sentiment of each word.\n",
    "2. Calculate the sentiment of each tweet by taking the sum of the sentiments of its words.\n",
    "\n",
    "Let's lowercase the text in the tweets (since the lexicon is also lowercase), get rid of punctuation (since it will cause us to fail to match words), and convert tweets into a [*tidy format*](https://cran.r-project.org/web/packages/tidyr/vignettes/tidy-data.html) (to make the sentiments easier to calculate).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "                    num            word\n",
       "786204978629185536    0             pay\n",
       "786204978629185536    1              to\n",
       "786204978629185536    2            play\n",
       "786204978629185536    3        politics\n",
       "786204978629185536    4  crookedhillary"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sent = pd.read_csv('vader_lexicon.txt', sep=\"\\t\", index_col=0, header = None, usecols=[0,1], names=['lexicon', 'polarity'])\n",
    "\n",
    "trump['text']= trump['text'].str.lower() #lowercase\n",
    "\n",
    "punct_re = r'[^\\w\\s]'\n",
    "trump['no_punc'] = trump['text'].str.replace(punct_re, ' ') #get rid of punctuation\n",
    "\n",
    "tidy_format = trump['no_punc'].str.split(expand=True).stack().reset_index(level=1) #tidy format\n",
    "tidy_format.columns = ['num', 'word'] \n",
    "tidy_format.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now join the table with the lexicon table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>source</th>\n",
       "      <th>text</th>\n",
       "      <th>retweet_count</th>\n",
       "      <th>year</th>\n",
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       "      <td>786204978629185536</td>\n",
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       "      <td>Twitter for iPhone</td>\n",
       "      <td>pay to play politics. \\n#crookedhillary https://t.co/wjsl8itvvk</td>\n",
       "      <td>24915</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-12 09:00:48-05:00</td>\n",
       "      <td>9.013333</td>\n",
       "      <td>pay to play politics  \\n crookedhillary https   t co wjsl8itvvk</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>2016-10-12 13:46:43+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>very little pick-up by the dishonest media of incredible information provided by wikileaks. so dishonest! rigged system!</td>\n",
       "      <td>22609</td>\n",
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       "      <td>very little pick up by the dishonest media of incredible information provided by wikileaks  so dishonest  rigged system</td>\n",
       "      <td>-6.9</td>\n",
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       "      <td>2016-10-12 12:59:05+00:00</td>\n",
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       "      <td>crooked hillary clinton likes to talk about the things she will do but she has been there for 30 years - why didn't she do them?</td>\n",
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       "      <td>2016-10-12 07:59:05-05:00</td>\n",
       "      <td>7.984722</td>\n",
       "      <td>crooked hillary clinton likes to talk about the things she will do but she has been there for 30 years   why didn t she do them</td>\n",
       "      <td>1.8</td>\n",
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       "      <td>786054986534969344</td>\n",
       "      <td>2016-10-12 04:04:47+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>thank you florida- a movement that has never been seen before and will never be seen again. lets get out &amp;amp;… https://t.co/t9xm9wfdzi</td>\n",
       "      <td>18789</td>\n",
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       "      <td>2016-10-11 23:04:47-05:00</td>\n",
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       "      <td>thank you florida  a movement that has never been seen before and will never be seen again  lets get out  amp   https   t co t9xm9wfdzi</td>\n",
       "      <td>1.5</td>\n",
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       "      <td>2016-10-12 00:56:06+00:00</td>\n",
       "      <td>Twitter for iPhone</td>\n",
       "      <td>join me thursday in florida &amp;amp; ohio!\\nwest palm beach, fl at noon:\\nhttps://t.co/jwbznqhxg9\\ncincinnati, oh this 7:30pm:\\nhttps://t.co/5w2uhalpix</td>\n",
       "      <td>7761</td>\n",
       "      <td>2016.778689</td>\n",
       "      <td>2016-10-11 19:56:06-05:00</td>\n",
       "      <td>19.935000</td>\n",
       "      <td>join me thursday in florida  amp  ohio \\nwest palm beach  fl at noon \\nhttps   t co jwbznqhxg9\\ncincinnati  oh this 7 30pm \\nhttps   t co 5w2uhalpix</td>\n",
       "      <td>1.2</td>\n",
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      ],
      "text/plain": [
       "                                        time               source  \\\n",
       "786204978629185536 2016-10-12 14:00:48+00:00   Twitter for iPhone   \n",
       "786201435486781440 2016-10-12 13:46:43+00:00   Twitter for iPhone   \n",
       "786189446274248704 2016-10-12 12:59:05+00:00  Twitter for Android   \n",
       "786054986534969344 2016-10-12 04:04:47+00:00   Twitter for iPhone   \n",
       "786007502639038464 2016-10-12 00:56:06+00:00   Twitter for iPhone   \n",
       "\n",
       "                                                                                                                                                                    text  \\\n",
       "786204978629185536                                                                                       pay to play politics. \\n#crookedhillary https://t.co/wjsl8itvvk   \n",
       "786201435486781440                              very little pick-up by the dishonest media of incredible information provided by wikileaks. so dishonest! rigged system!   \n",
       "786189446274248704                      crooked hillary clinton likes to talk about the things she will do but she has been there for 30 years - why didn't she do them?   \n",
       "786054986534969344               thank you florida- a movement that has never been seen before and will never be seen again. lets get out &amp;… https://t.co/t9xm9wfdzi   \n",
       "786007502639038464  join me thursday in florida &amp; ohio!\\nwest palm beach, fl at noon:\\nhttps://t.co/jwbznqhxg9\\ncincinnati, oh this 7:30pm:\\nhttps://t.co/5w2uhalpix   \n",
       "\n",
       "                    retweet_count         year                  est_time  \\\n",
       "786204978629185536          24915  2016.778689 2016-10-12 09:00:48-05:00   \n",
       "786201435486781440          22609  2016.778689 2016-10-12 08:46:43-05:00   \n",
       "786189446274248704          18329  2016.778689 2016-10-12 07:59:05-05:00   \n",
       "786054986534969344          18789  2016.778689 2016-10-11 23:04:47-05:00   \n",
       "786007502639038464           7761  2016.778689 2016-10-11 19:56:06-05:00   \n",
       "\n",
       "                         hour  \\\n",
       "786204978629185536   9.013333   \n",
       "786201435486781440   8.778611   \n",
       "786189446274248704   7.984722   \n",
       "786054986534969344  23.079722   \n",
       "786007502639038464  19.935000   \n",
       "\n",
       "                                                                                                                                                                 no_punc  \\\n",
       "786204978629185536                                                                                       pay to play politics  \\n crookedhillary https   t co wjsl8itvvk   \n",
       "786201435486781440                              very little pick up by the dishonest media of incredible information provided by wikileaks  so dishonest  rigged system    \n",
       "786189446274248704                      crooked hillary clinton likes to talk about the things she will do but she has been there for 30 years   why didn t she do them    \n",
       "786054986534969344               thank you florida  a movement that has never been seen before and will never be seen again  lets get out  amp   https   t co t9xm9wfdzi   \n",
       "786007502639038464  join me thursday in florida  amp  ohio \\nwest palm beach  fl at noon \\nhttps   t co jwbznqhxg9\\ncincinnati  oh this 7 30pm \\nhttps   t co 5w2uhalpix   \n",
       "\n",
       "                    polarity  \n",
       "786204978629185536       1.0  \n",
       "786201435486781440      -6.9  \n",
       "786189446274248704       1.8  \n",
       "786054986534969344       1.5  \n",
       "786007502639038464       1.2  "
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = tidy_format.merge(sent, how = 'left', left_on=\"word\", right_index = True).reset_index()\n",
    "a = a.groupby('index').sum()\n",
    "trump['polarity'] = a[['polarity']]\n",
    "trump = trump.fillna(0)\n",
    "trump.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we have a measure of the sentiment of each of his tweets! We can see the most positive and most negative tweets from Trump in your dataset:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most negative tweets:\n",
      "\n",
      "   the trump portrait of an unsustainable border crisis is dead on. “in the last two years, ice officers made 266,000 arrests of aliens with criminal records, including those charged or convicted of 100,000 assaults, 30,000 sex crimes &amp; 4000 violent killings.” america’s southern....\n",
      "\n",
      "   it is outrageous that poisonous synthetic heroin fentanyl comes pouring into the u.s. postal system from china. we can, and must, end this now! the senate should pass the stop act – and firmly stop this poison from killing our children and destroying our country. no more delay!\n",
      "\n",
      "   the rigged russian witch hunt goes on and on as the “originators and founders” of this scam continue to be fired and demoted for their corrupt and illegal activity. all credibility is gone from this terrible hoax, and much more will be lost as it proceeds. no collusion!\n",
      "\n",
      "   ...this evil anti-semitic attack is an assault on humanity. it will take all of us working together to extract the poison of anti-semitism from our world. we must unite to conquer hate.\n",
      "\n",
      "   james comey is a proven leaker &amp; liar. virtually everyone in washington thought he should be fired for the terrible job he did-until he was, in fact, fired. he leaked classified information, for which he should be prosecuted. he lied to congress under oath. he is a weak and.....\n"
     ]
    }
   ],
   "source": [
    "print('Most negative tweets:')\n",
    "for t in trump.sort_values('polarity').head()['text']:\n",
    "    print('\\n  ', t)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most positive tweets:\n",
      "\n",
      "   congratulations to patrick reed on his great and courageous masters win! when patrick had his amazing win at doral 5 years ago, people saw his great talent, and a bright future ahead. now he is the masters champion!\n",
      "\n",
      "   congratulations to a truly great football team, the clemson tigers, on an incredible win last night against a powerful alabama team. a big win also for the great state of south carolina. look forward to seeing the team, and their brilliant coach, for the second time at the w.h.\n",
      "\n",
      "   my supporters are the smartest, strongest, most hard working and most loyal that we have seen in our countries history. it is a beautiful thing to watch as we win elections and gather support from all over the country. as we get stronger, so does our country. best numbers ever!\n",
      "\n",
      "   thank you to all of my great supporters, really big progress being made. other countries wanting to fix crazy trade deals. economy is roaring. supreme court pick getting great reviews. new poll says trump, at over 90%, is the most popular republican in history of the party. wow!\n",
      "\n",
      "   thank you, @wvgovernor jim justice, for that warm introduction. tonight, it was my great honor to attend the “greenbrier classic – salute to service dinner” in west virginia! god bless our veterans. god bless america - and happy independence day to all! https://t.co/v35qvcn8m6\n"
     ]
    }
   ],
   "source": [
    "print('Most positive tweets:')\n",
    "for t in trump.sort_values('polarity', ascending=False).head()['text']:\n",
    "    print('\\n  ', t)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is a single plot showing both the distribution of tweet sentiments for tweets containing `nytimes`, as well as the distribution of tweet sentiments for tweets containing `fox`.\n",
    "\n",
    "Since the estimated median of the \"fox\" graph has a higher polarity than the estimated median of the \"nyt\", we observe that Trump generally had more positives things to tweet about Fox than New York Times. Another interesting aspect is that the \"fox\" graph has a much higher density of tweets that have a polarity of 0 and 2-3 than the \"nyt\" graph.\n",
    "\n",
    "The keywords \"liberal\" and \"conservative\" also create interesting plots, since the \"conservative\" plot is skewed left and the \"liberal\" plot is more normal around a polarity of 0."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2af5ecc18c8>"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(trump[trump['no_punc'].str.lower().str.contains('nyt')]['polarity'], label = 'nyt')\n",
    "sns.distplot(trump[trump['no_punc'].str.lower().str.contains('fox')]['polarity'], label = 'fox')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's see whether there's a difference in sentiment for tweets with hashtags and those without. \n",
    "\n",
    "The 'hashtag or link' plot has a very narrow distribution and high density centered around a polarity of 0 while the 'no hashtag or link' plot has a wide distribution and low density also centered around a polarity of 0. This suggests that Trump's tweets with hashtags or links tend to be neither positive nor negative."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rt_re = r'[^\\w]*\\brt\\b[^\\w]*'\n",
    "hash_link_re = r'(#\\w|http)'\n",
    "\n",
    "sns.distplot(trump[trump['text'].str.match(hash_link_re)]['polarity'],label='hashtag or link');\n",
    "sns.distplot(trump[~trump['text'].str.match(hash_link_re)]['polarity'],label='no hashtag or link');\n",
    "plt.xlim(-10, 10);\n",
    "plt.title('Distribution of Tweet Polarities (hashtag/link vs none)');\n",
    "plt.legend();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}