Jlo.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyzing João Lorenço's Twitter Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Libs\n",
    "import tweepy           \n",
    "import pandas as pd     \n",
    "import numpy as np  \n",
    "import seaborn as sns\n",
    "from IPython.display import display\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Acessing twitters api\n",
    "from credentials import *\n",
    "\n",
    "# Api configuration:\n",
    "def twitter_config():\n",
    "    auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)\n",
    "    auth.set_access_token(ACCESS_TOKEN, ACCESS_SECRET)\n",
    "\n",
    "    api = tweepy.API(auth)\n",
    "    return api"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tweets Obtidos: 46.\n",
      "\n",
      "Os primeiros 10 tweets:\n",
      "\n",
      "Vamos dançar o CARNAVAL. É folia! Com paz, alegria, todos irmanados, enchamos as ruas com canções e danças que exal… https://t.co/GRvtsjZCet\n",
      "\n",
      "Angolanas e angolanos,\n",
      "\n",
      "Hoje, 2 de Março, dia em que se celebra, mais uma vez, a entrega da MULHER ANGOLANA na luta… https://t.co/RHjWYPZv2f\n",
      "\n",
      "Considero o governo electrónico um importante factor para o desenvolvimento do país, por isso, anuncio o lançamento… https://t.co/qt1M74JF1s\n",
      "\n",
      "Na passagem de mais um ano, reflictamos sobre a necessidade de, em 2019, cada um de nós ser parte fundamental na co… https://t.co/whb71s6o96\n",
      "\n",
      "Na próxima sexta-feira, recebo, aqui Palácio, jornalistas de órgãos nacionais e estrangeiros para, numa entrevista… https://t.co/A77yqZKjkg\n",
      "\n",
      "A sociedade civil constitui um interlocutor incontornável do Executivo na concepção e execução das políticas públic… https://t.co/PvarYk1Hun\n",
      "\n",
      "Ao celebrarmos os 43 anos da independência, cada angolano deve reflectir sobre a necessidade de honrar o feito dos… https://t.co/UmwLgbE4D1\n",
      "\n",
      "Apelamos à União Europeia a estabelecer com os países africanos um novo paradigma de cooperação que nos ajude a pas… https://t.co/CLX0oZ8nU3\n",
      "\n",
      "Com vista a facilitar os negócios e dinamizar o turismo em Angola, está já a ser implementado um  mecanismo de faci… https://t.co/5ogXc9KJO2\n",
      "\n",
      "Nesta data de grande significado para o Povo alemão, reitero a grande simpatia, amizade e admiração que nutrimos pe… https://t.co/iRWLXzDd5a\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Extracting the info:\n",
    "extractor = twitter_config()\n",
    "\n",
    "# Creating a list of tweets:\n",
    "tweets = extractor.user_timeline(screen_name=\"jlprdeangola\", count=200)\n",
    "print(\"Tweets Obtidos: {}.\\n\".format(len(tweets)))\n",
    "\n",
    "# Lets see if it works:\n",
    "print(\"Os primeiros 10 tweets:\\n\")\n",
    "for tweet in tweets[:10]:\n",
    "    print(tweet.text)\n",
    "    print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Vamos dançar o CARNAVAL. É folia! Com paz, ale...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Angolanas e angolanos,\\n\\nHoje, 2 de Março, di...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Considero o governo electrónico um importante ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Na passagem de mais um ano, reflictamos sobre ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Na próxima sexta-feira, recebo, aqui Palácio, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>A sociedade civil constitui um interlocutor in...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ao celebrarmos os 43 anos da independência, ca...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Apelamos à União Europeia a estabelecer com os...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Com vista a facilitar os negócios e dinamizar ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Nesta data de grande significado para o Povo a...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Tweets\n",
       "0  Vamos dançar o CARNAVAL. É folia! Com paz, ale...\n",
       "1  Angolanas e angolanos,\\n\\nHoje, 2 de Março, di...\n",
       "2  Considero o governo electrónico um importante ...\n",
       "3  Na passagem de mais um ano, reflictamos sobre ...\n",
       "4  Na próxima sexta-feira, recebo, aqui Palácio, ...\n",
       "5  A sociedade civil constitui um interlocutor in...\n",
       "6  Ao celebrarmos os 43 anos da independência, ca...\n",
       "7  Apelamos à União Europeia a estabelecer com os...\n",
       "8  Com vista a facilitar os negócios e dinamizar ...\n",
       "9  Nesta data de grande significado para o Povo a..."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creating a dataframe to store the data:\n",
    "dataJoao = pd.DataFrame(data=[tweet.text for tweet in tweets], columns=['Tweets'])\n",
    "\n",
    "# Lets view the head. PS: It has to be the same info as the one on top...\n",
    "display(dataJoao.head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 46 entries, 0 to 45\n",
      "Data columns (total 1 columns):\n",
      "Tweets    46 non-null object\n",
      "dtypes: object(1)\n",
      "memory usage: 448.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "#Lets see the info for the dataframe.\n",
    "dataJoao.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['__class__', '__delattr__', '__dict__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getstate__', '__gt__', '__hash__', '__init__', '__init_subclass__', '__le__', '__lt__', '__module__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', '_api', '_json', 'author', 'contributors', 'coordinates', 'created_at', 'destroy', 'entities', 'favorite', 'favorite_count', 'favorited', 'geo', 'id', 'id_str', 'in_reply_to_screen_name', 'in_reply_to_status_id', 'in_reply_to_status_id_str', 'in_reply_to_user_id', 'in_reply_to_user_id_str', 'is_quote_status', 'lang', 'parse', 'parse_list', 'place', 'possibly_sensitive', 'retweet', 'retweet_count', 'retweeted', 'retweets', 'source', 'source_url', 'text', 'truncated', 'user']\n"
     ]
    }
   ],
   "source": [
    "# Lets see the methods:\n",
    "print(dir(tweets[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Lets save the relevant data\n",
    "dataJoao['len'] = np.array([len(tweet.text) for tweet in tweets])\n",
    "dataJoao['ID']  = np.array([tweet.id for tweet in tweets])\n",
    "dataJoao['CreateAt'] = np.array([tweet.created_at for tweet in tweets])\n",
    "dataJoao['Source'] = np.array([tweet.source for tweet in tweets])\n",
    "dataJoao['Likes']  = np.array([tweet.favorite_count for tweet in tweets])\n",
    "dataJoao['RTs']    = np.array([tweet.retweet_count for tweet in tweets])\n",
    "dataJoao['Favored'] = np.array([tweet.favorited for tweet in tweets])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>Tweets</th>\n",
       "      <th>len</th>\n",
       "      <th>ID</th>\n",
       "      <th>CreateAt</th>\n",
       "      <th>Source</th>\n",
       "      <th>Likes</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Favored</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Vamos dançar o CARNAVAL. É folia! Com paz, ale...</td>\n",
       "      <td>140</td>\n",
       "      <td>1102526674577444864</td>\n",
       "      <td>2019-03-04 11:10:17</td>\n",
       "      <td>Instagram</td>\n",
       "      <td>361</td>\n",
       "      <td>35</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Angolanas e angolanos,\\n\\nHoje, 2 de Março, di...</td>\n",
       "      <td>140</td>\n",
       "      <td>1101618311664558080</td>\n",
       "      <td>2019-03-01 23:00:47</td>\n",
       "      <td>Instagram</td>\n",
       "      <td>520</td>\n",
       "      <td>64</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Considero o governo electrónico um importante ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1087945728935235584</td>\n",
       "      <td>2019-01-23 05:30:49</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>816</td>\n",
       "      <td>222</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Na passagem de mais um ano, reflictamos sobre ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1079604342867542016</td>\n",
       "      <td>2018-12-31 05:05:08</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>1471</td>\n",
       "      <td>385</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Na próxima sexta-feira, recebo, aqui Palácio, ...</td>\n",
       "      <td>139</td>\n",
       "      <td>1075064949641236480</td>\n",
       "      <td>2018-12-18 16:27:12</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>1364</td>\n",
       "      <td>227</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>A sociedade civil constitui um interlocutor in...</td>\n",
       "      <td>140</td>\n",
       "      <td>1069694991570821123</td>\n",
       "      <td>2018-12-03 20:48:54</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>908</td>\n",
       "      <td>124</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ao celebrarmos os 43 anos da independência, ca...</td>\n",
       "      <td>139</td>\n",
       "      <td>1061852378863931392</td>\n",
       "      <td>2018-11-12 05:25:10</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>696</td>\n",
       "      <td>75</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Apelamos à União Europeia a estabelecer com os...</td>\n",
       "      <td>140</td>\n",
       "      <td>1051877929020481537</td>\n",
       "      <td>2018-10-15 16:50:15</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>1180</td>\n",
       "      <td>243</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Com vista a facilitar os negócios e dinamizar ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1051877365310255104</td>\n",
       "      <td>2018-10-15 16:48:01</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>511</td>\n",
       "      <td>85</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Nesta data de grande significado para o Povo a...</td>\n",
       "      <td>140</td>\n",
       "      <td>1047528493200941056</td>\n",
       "      <td>2018-10-03 16:47:09</td>\n",
       "      <td>Twitter Web App</td>\n",
       "      <td>514</td>\n",
       "      <td>36</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Tweets  len  \\\n",
       "0  Vamos dançar o CARNAVAL. É folia! Com paz, ale...  140   \n",
       "1  Angolanas e angolanos,\\n\\nHoje, 2 de Março, di...  140   \n",
       "2  Considero o governo electrónico um importante ...  140   \n",
       "3  Na passagem de mais um ano, reflictamos sobre ...  140   \n",
       "4  Na próxima sexta-feira, recebo, aqui Palácio, ...  139   \n",
       "5  A sociedade civil constitui um interlocutor in...  140   \n",
       "6  Ao celebrarmos os 43 anos da independência, ca...  139   \n",
       "7  Apelamos à União Europeia a estabelecer com os...  140   \n",
       "8  Com vista a facilitar os negócios e dinamizar ...  140   \n",
       "9  Nesta data de grande significado para o Povo a...  140   \n",
       "\n",
       "                    ID            CreateAt               Source  Likes  RTs  \\\n",
       "0  1102526674577444864 2019-03-04 11:10:17            Instagram    361   35   \n",
       "1  1101618311664558080 2019-03-01 23:00:47            Instagram    520   64   \n",
       "2  1087945728935235584 2019-01-23 05:30:49  Twitter for Android    816  222   \n",
       "3  1079604342867542016 2018-12-31 05:05:08  Twitter for Android   1471  385   \n",
       "4  1075064949641236480 2018-12-18 16:27:12  Twitter for Android   1364  227   \n",
       "5  1069694991570821123 2018-12-03 20:48:54  Twitter for Android    908  124   \n",
       "6  1061852378863931392 2018-11-12 05:25:10   Twitter Web Client    696   75   \n",
       "7  1051877929020481537 2018-10-15 16:50:15   Twitter Web Client   1180  243   \n",
       "8  1051877365310255104 2018-10-15 16:48:01   Twitter Web Client    511   85   \n",
       "9  1047528493200941056 2018-10-03 16:47:09      Twitter Web App    514   36   \n",
       "\n",
       "   Favored  \n",
       "0    False  \n",
       "1    False  \n",
       "2    False  \n",
       "3    False  \n",
       "4    False  \n",
       "5    False  \n",
       "6    False  \n",
       "7    False  \n",
       "8    False  \n",
       "9    False  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Lets see the new DataFrame:\n",
    "display(dataJoao.head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>Tweets</th>\n",
       "      <th>len</th>\n",
       "      <th>ID</th>\n",
       "      <th>CreateAt</th>\n",
       "      <th>Source</th>\n",
       "      <th>Likes</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Favored</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Tweets, len, ID, CreateAt, Source, Likes, RTs, Favored]\n",
       "Index: []"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Lets see the liked posts\n",
    "dataJoao[dataJoao.Favored == True]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "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>Tweets</th>\n",
       "      <th>len</th>\n",
       "      <th>ID</th>\n",
       "      <th>CreateAt</th>\n",
       "      <th>Source</th>\n",
       "      <th>Likes</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Favored</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Na passagem de mais um ano, reflictamos sobre ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1079604342867542016</td>\n",
       "      <td>2018-12-31 05:05:08</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>1471</td>\n",
       "      <td>385</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Na próxima sexta-feira, recebo, aqui Palácio, ...</td>\n",
       "      <td>139</td>\n",
       "      <td>1075064949641236480</td>\n",
       "      <td>2018-12-18 16:27:12</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>1364</td>\n",
       "      <td>227</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Apelamos à União Europeia a estabelecer com os...</td>\n",
       "      <td>140</td>\n",
       "      <td>1051877929020481537</td>\n",
       "      <td>2018-10-15 16:50:15</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>1180</td>\n",
       "      <td>243</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Caros amigos, \\nDefendemos a descentralização ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1045097899963682817</td>\n",
       "      <td>2018-09-26 23:48:50</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>1083</td>\n",
       "      <td>204</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Depois de participar na Assembleia Geral da ON...</td>\n",
       "      <td>139</td>\n",
       "      <td>1046134598231633920</td>\n",
       "      <td>2018-09-29 20:28:19</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>975</td>\n",
       "      <td>130</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Tweets  len  \\\n",
       "3   Na passagem de mais um ano, reflictamos sobre ...  140   \n",
       "4   Na próxima sexta-feira, recebo, aqui Palácio, ...  139   \n",
       "7   Apelamos à União Europeia a estabelecer com os...  140   \n",
       "12  Caros amigos, \\nDefendemos a descentralização ...  140   \n",
       "10  Depois de participar na Assembleia Geral da ON...  139   \n",
       "\n",
       "                     ID            CreateAt               Source  Likes  RTs  \\\n",
       "3   1079604342867542016 2018-12-31 05:05:08  Twitter for Android   1471  385   \n",
       "4   1075064949641236480 2018-12-18 16:27:12  Twitter for Android   1364  227   \n",
       "7   1051877929020481537 2018-10-15 16:50:15   Twitter Web Client   1180  243   \n",
       "12  1045097899963682817 2018-09-26 23:48:50   Twitter Web Client   1083  204   \n",
       "10  1046134598231633920 2018-09-29 20:28:19   Twitter Web Client    975  130   \n",
       "\n",
       "    Favored  \n",
       "3     False  \n",
       "4     False  \n",
       "7     False  \n",
       "12    False  \n",
       "10    False  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Sort values by likes\n",
    "dataJoao.sort_values(by='Likes', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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>Tweets</th>\n",
       "      <th>len</th>\n",
       "      <th>ID</th>\n",
       "      <th>CreateAt</th>\n",
       "      <th>Source</th>\n",
       "      <th>Likes</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Favored</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Na passagem de mais um ano, reflictamos sobre ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1079604342867542016</td>\n",
       "      <td>2018-12-31 05:05:08</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>1471</td>\n",
       "      <td>385</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>https://t.co/fQ4fWc7fqO</td>\n",
       "      <td>23</td>\n",
       "      <td>971433652243632128</td>\n",
       "      <td>2018-03-07 17:13:25</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>958</td>\n",
       "      <td>271</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Apelamos à União Europeia a estabelecer com os...</td>\n",
       "      <td>140</td>\n",
       "      <td>1051877929020481537</td>\n",
       "      <td>2018-10-15 16:50:15</td>\n",
       "      <td>Twitter Web Client</td>\n",
       "      <td>1180</td>\n",
       "      <td>243</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Na próxima sexta-feira, recebo, aqui Palácio, ...</td>\n",
       "      <td>139</td>\n",
       "      <td>1075064949641236480</td>\n",
       "      <td>2018-12-18 16:27:12</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>1364</td>\n",
       "      <td>227</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Considero o governo electrónico um importante ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1087945728935235584</td>\n",
       "      <td>2019-01-23 05:30:49</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>816</td>\n",
       "      <td>222</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Tweets  len  \\\n",
       "3   Na passagem de mais um ano, reflictamos sobre ...  140   \n",
       "31                            https://t.co/fQ4fWc7fqO   23   \n",
       "7   Apelamos à União Europeia a estabelecer com os...  140   \n",
       "4   Na próxima sexta-feira, recebo, aqui Palácio, ...  139   \n",
       "2   Considero o governo electrónico um importante ...  140   \n",
       "\n",
       "                     ID            CreateAt               Source  Likes  RTs  \\\n",
       "3   1079604342867542016 2018-12-31 05:05:08  Twitter for Android   1471  385   \n",
       "31   971433652243632128 2018-03-07 17:13:25   Twitter Web Client    958  271   \n",
       "7   1051877929020481537 2018-10-15 16:50:15   Twitter Web Client   1180  243   \n",
       "4   1075064949641236480 2018-12-18 16:27:12  Twitter for Android   1364  227   \n",
       "2   1087945728935235584 2019-01-23 05:30:49  Twitter for Android    816  222   \n",
       "\n",
       "    Favored  \n",
       "3     False  \n",
       "31    False  \n",
       "7     False  \n",
       "4     False  \n",
       "2     False  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Sort values by Retwitts\n",
    "dataJoao.sort_values(by='RTs', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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>Tweets</th>\n",
       "      <th>len</th>\n",
       "      <th>ID</th>\n",
       "      <th>CreateAt</th>\n",
       "      <th>Source</th>\n",
       "      <th>Likes</th>\n",
       "      <th>RTs</th>\n",
       "      <th>Favored</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Vamos dançar o CARNAVAL. É folia! Com paz, ale...</td>\n",
       "      <td>140</td>\n",
       "      <td>1102526674577444864</td>\n",
       "      <td>2019-03-04 11:10:17</td>\n",
       "      <td>Instagram</td>\n",
       "      <td>361</td>\n",
       "      <td>35</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Angolanas e angolanos,\\n\\nHoje, 2 de Março, di...</td>\n",
       "      <td>140</td>\n",
       "      <td>1101618311664558080</td>\n",
       "      <td>2019-03-01 23:00:47</td>\n",
       "      <td>Instagram</td>\n",
       "      <td>520</td>\n",
       "      <td>64</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Considero o governo electrónico um importante ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1087945728935235584</td>\n",
       "      <td>2019-01-23 05:30:49</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>816</td>\n",
       "      <td>222</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Na passagem de mais um ano, reflictamos sobre ...</td>\n",
       "      <td>140</td>\n",
       "      <td>1079604342867542016</td>\n",
       "      <td>2018-12-31 05:05:08</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>1471</td>\n",
       "      <td>385</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Na próxima sexta-feira, recebo, aqui Palácio, ...</td>\n",
       "      <td>139</td>\n",
       "      <td>1075064949641236480</td>\n",
       "      <td>2018-12-18 16:27:12</td>\n",
       "      <td>Twitter for Android</td>\n",
       "      <td>1364</td>\n",
       "      <td>227</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              Tweets  len  \\\n",
       "0  Vamos dançar o CARNAVAL. É folia! Com paz, ale...  140   \n",
       "1  Angolanas e angolanos,\\n\\nHoje, 2 de Março, di...  140   \n",
       "2  Considero o governo electrónico um importante ...  140   \n",
       "3  Na passagem de mais um ano, reflictamos sobre ...  140   \n",
       "4  Na próxima sexta-feira, recebo, aqui Palácio, ...  139   \n",
       "\n",
       "                    ID            CreateAt               Source  Likes  RTs  \\\n",
       "0  1102526674577444864 2019-03-04 11:10:17            Instagram    361   35   \n",
       "1  1101618311664558080 2019-03-01 23:00:47            Instagram    520   64   \n",
       "2  1087945728935235584 2019-01-23 05:30:49  Twitter for Android    816  222   \n",
       "3  1079604342867542016 2018-12-31 05:05:08  Twitter for Android   1471  385   \n",
       "4  1075064949641236480 2018-12-18 16:27:12  Twitter for Android   1364  227   \n",
       "\n",
       "   Favored  \n",
       "0    False  \n",
       "1    False  \n",
       "2    False  \n",
       "3    False  \n",
       "4    False  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Sort values by Retwitts\n",
    "dataJoao.sort_values(by='CreateAt', ascending=False).head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA64AAAEICAYAAABf3KmoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3Wd4VVX69/HvSicNUmkhjZIQWoAkNEGKCKioo6CCSBcc28zYwGd0ZEb+M3YZrCBEYESxjAVRUQQUqSF0CEkI6QFSSCG9rudFThyUkIS0nXJ/ritXkn32Oed3Iubk3muteymtNUIIIYQQQgghREtlZnQAIYQQQgghhBCiJlK4CiGEEEIIIYRo0aRwFUIIIYQQQgjRoknhKoQQQgghhBCiRZPCVQghhBBCCCFEiyaFqxBCCCGEEEKIFk0KVyGEEEIIIYQQLZoUrkIIIYQQQgghWjQpXIUQQgghhBBCtGgWRgeoiaurq/b29jY6hhBCCCGEEEKIJnDo0KEMrbVbbee16MLV29ub8PBwo2MIIYQQQgghhGgCSqmEupwnU4WFEEIIIYQQQrRoUrgKIYQQQgghhGjRpHAVQgghhBBCCNGiteg1rkIIIYQQQghhtNLSUpKTkykqKjI6SqtlY2ODh4cHlpaW9bq/FK5CCCGEEEIIUYPk5GQcHBzw9vZGKWV0nFZHa83FixdJTk7Gx8enXo8hU4WFEEIIIYQQogZFRUW4uLhI0VpPSilcXFwaNGIthasQQgghhBBtVElZBbui0ykpqzA6SqsnRWvDNPTnJ1OFhRBCCCGEaGPKyiv44kgKK3ecISmzkMVjfHn6pr5GxxKi3mTEVQghhBBCiDaiokKz+dg5bnx9F09+dpyOHSwZ3duV0D1xxKbnGR1PNIC9vf0Vx9599102bNgAwNixYwkPD2/uWM1GRlyFEEIIIYRo5bTWfH8qlde3RROVmotfZwdW3TeUGwM6k55XzPhXfmb5N6cJnRtsdFTRiB544AGjIzQbGXEVQgghhBCildJaszMqjVvf3MMDHxyitLyClTMG892fRjOpXxeUUrg72PDohF7siExjZ2Sa0ZFFI1q2bBmvvPLKb45VVFQwZ84cnnnmGQB++OEHRowYwZAhQ5g+fTp5eZUj70uXLiUgIICBAwfyxBNPNHv2ayUjrkIIIYQQQrRCe89m8OoP0RxKyMLDqQOvTB/E7YHdsDC/cmxq7kgfNoUl8fyWCEb1csXKQsav6uvvX58i4tylRn3MgG6OPDe1X4Mfp6ysjHvvvZf+/fvz17/+lYyMDJYvX86PP/6InZ0dL774Iq+99hoPP/wwX3zxBZGRkSilyM7OboRX0bRq/RerlApVSqUppU5Wc9sTSimtlHI1fa+UUiuVUjFKqeNKqSGXnTtHKXXG9DGncV+GEEIIIYQQ7UN4fCYzVu9n5nsHSMkq5P/+0J8dj49l2lCPaotWACsLM56dGkBsRj7r9sY1c2LRXBYvXvxr0Qqwf/9+IiIiGDVqFIGBgaxfv56EhAQcHR2xsbFh4cKFfP7559ja2hqcvHZ1GXFdB7wJbLj8oFKqBzARSLzs8BSgt+ljGPAOMEwp5Qw8BwQBGjiklNqstc5q6AsQQgghhBCiPTiRnMOr26L4KSodV3trnpsawIwQT2wszet0/3F+7oz3d2fl9hhuH9wddwebJk7cNjXGyGhTGTlyJDt37uTxxx/HxsYGrTUTJ07ko48+uuLcsLAwtm/fzqZNm3jzzTfZsWOHAYnrrtYRV631LiCzmpteB56ishCtchuwQVfaD3RSSnUFJgHbtNaZpmJ1GzC5wemFEEIIIYRo4yIvXGLRhnCmvrmbo0nZLJ3iz66nxjJvlE+di9Yqz94SQHFZOS9tjWqitMJICxYs4KabbmL69OmUlZUxfPhw9uzZQ0xMDAAFBQVER0eTl5dHTk4ON910EytWrODo0aMGJ69dvda4KqVuBVK01sd+t5FsdyDpsu+TTceudlwIIYQQQghRjbPpeaz48Qxbjp/D3sqCxyb2Yd4obxxsLOv9mD6udsy/zodVP8cya7gXgT06NWJi0ZQKCgrw8PD49fvHHnus2vMee+wxcnJyuO+++9i4cSPr1q1jxowZFBcXA7B8+XIcHBy47bbbKCoqQmvN66+/3iyvoSGuuXBVStkCfwVurO7mao7pGo5X9/iLgEUAnp6e1xpPCCGEEEKIVi3xYgH/3n6GL44kY2NpzoNje3L/aF862Vo1yuM/Mr43nx9O4bnNp/jijyMxM6vuT3XR0lRUVNR4+08//fTr13//+99//Xr8+PEcPHjwivPDwsIaLVtzqM+Ia0/AB6gabfUADiulQqgcSe1x2bkewDnT8bG/O/5TdQ+utV4NrAYICgqqtrgVQgghhBCirTmXXcibO2P45GAS5maKBdf58MD1PXGxt27U57G3tmDJZH+e+PQYnx9JYdpQj9rvJITBrrlw1VqfANyrvldKxQNBWusMpdRm4GGl1CYqmzPlaK3PK6W+B/6plHIy3e1G4OkGpxdCCCGEEKKVS8st4u2dZ/nwQCIazcxhnjw0rhedHZuuedIdg7vzwf4EXtwayaR+nRs0/ViI5lBr4aqU+ojK0VJXpVQy8JzWeu1VTv8WuAmIAQqAeQBa60yl1PNA1Rj1P7TW1TV8EkIIIYQQol0oLivntW3RrN8bT2m5ZvpQDx4e3wsPp6bfmsTMTLHs1n7c/tYe3twRw9M39W3y5xSiIWotXLXWM2q53fuyrzXw0FXOCwVCrzGfEEIIIYQQbdI7P51l1c+x/GFwd/40oTfernbN+vyBPToxbagHoXviuDu4B75u9s36/EJci1q3wxFCCCGEEEI0rvTcYt7bFcvNA7ry+t2BzV60Vnlqsh/WFuYs/+a0Ic8vRF1J4SqEEEIIIUQze3PHGYrKKnhikp+hOdwdbHh0Qi92RKaxMzLN0CxC1EQKVyGEEEIIIZpRwsV8Nh5IZEZID3wMGmm93NyRPvi62vH8lghKymreckUYx9zcnMDAQPr378/UqVPJzs6u8fzs7GzefvvtJs20YsUKCgoKmvQ5qkjhKoQQQgghRDN65YdoLM3NeHRCb6OjAGBlYcazUwOIzchn3d44o+OIq+jQoQNHjx7l5MmTODs789Zbb9V4vhSuQgghhBBCiHo5kZzD18fOcf9oH9wdmm67m2s1zs+d8f7urNweQ1pukdFxRC1GjBhBSkrKr9+//PLLBAcHM3DgQJ577jkAli5dytmzZwkMDOTJJ5/kwQcfZPPmzQD84Q9/YP78+QCsXbuWZ555BoAPPviAkJAQAgMDWbx4MeXl5QD88MMPjBgxgiFDhjB9+nTy8vJYuXIl586dY9y4cYwbN47y8nLmzp1L//79GTBgAK+//nqjvuZr3sdVCCGEEEIIUT8vbo3E2c6K+8f4Gh3lCs/eEsCNr//MS1ujeGX6IKPjtFzfLYULJxr3MbsMgCkv1OnU8vJytm/fzoIFC4DKovLMmTOEhYWhtebWW29l165dvPDCC5w8eZKjR48CsGnTJn755RduvfVWUlJSOH/+PAC7d+/mnnvu4fTp03z88cfs2bMHS0tLHnzwQTZu3MhNN93E8uXL+fHHH7Gzs+PFF1/ktdde429/+xuvvfYaO3fuxNXVlUOHDpGSksLJkycBap3KfK1kxFUIIYQQQohm8MuZdHbHZPDI+F442FgaHecKPq52zL/Oh88OJXM0qXGLDtFwhYWFBAYG4uLiQmZmJhMnTgQqC9cffviBwYMHM2TIECIjIzlz5swV9x89ejS//PILERERBAQE0LlzZ86fP8++ffsYOXIk27dv59ChQwQHBxMYGMj27duJjY1l//79REREMGrUKAIDA1m/fj0JCQlXPL6vry+xsbE88sgjbN26FUdHx0Z9/TLiKoQQQgghRBOrqNC88F0kPZw7MHOYp9FxruqR8b35/HAKyzaf4vM/jsTMTBkdqeWp48hoY6ta45qTk8Mtt9zCW2+9xaOPPorWmqeffprFixf/5vz4+PjffN+9e3eysrLYunUrY8aMITMzk08++QR7e3scHBzQWjNnzhz+9a9//eZ+X3/9NRMnTuSjjz6qMZ+TkxPHjh3j+++/56233uKTTz4hNDS0UV47yIirEEIIIYQQTe7r4+c4de4ST9xYuW9qS2VvbcGSyf4cTcrm8yMptd9BNLuOHTuycuVKXnnlFUpLS5k0aRKhoaHk5eUBkJKSQlpaGg4ODuTm5v7mviNGjGDFihWMGTOG0aNH88orrzB69GgAJkyYwGeffUZaWuW2SJmZmSQkJDB8+HD27NlDTEwMAAUFBURHRwP85jkyMjKoqKjgzjvv5Pnnn+fw4cON+rqlcBVCCCGEEKIJFZeV88oPUQR0dWTqwG5Gx6nVHYO7E9ijEy9ujSSvuMzoOKIagwcPZtCgQWzatIkbb7yRmTNnMmLECAYMGMC0adPIzc3FxcWFUaNG0b9/f5588kmgcrpwWVkZvXr1YsiQIWRmZv5auAYEBLB8+XJuvPFGBg4cyMSJEzl//jxubm6sW7eOGTNmMHDgQIYPH05kZCQAixYtYsqUKYwbN46UlBTGjh1LYGAgc+fOvWLktqGU1rpRH7AxBQUF6fDwcKNjCCGEEEIIUW/v74nj719HsGF+CGP6uBkdp06OJmVz+1t7WHy9L09P6Wt0HMOdPn2avn3l59BQ1f0clVKHtNZBtd1XRlyFEEIIIYRoIrlFpbyxI4ZRvVwY3dvV6Dh1FtijE9OGehC6O47Y9Dyj4wghhasQQgghhBBN5b1dsWTml7Bksj9Kta5GR09NrlyPu/yb00ZHEUIKVyGEEEIIIZpCWm4R7/0Sxy0DuzLQo5PRca6Zu4MNj07oxY7INHZGphkdx3AteYlla9DQn58UrkIIIYQQQjSBldvPUFpewRM3+hkdpd7mjvTB19WO57dEUFJWYXQcw9jY2HDx4kUpXutJa83FixexsbGp92PUuo+rUioUuAVI01r3Nx17GZgKlABngXla62zTbU8DC4By4FGt9fem45OBfwPmwBqttTEbIAkhhBBCCNHEYtPz+CgsiVnDPPF2tTM6Tr1ZWZjx7C0BzFt3kHV741g0pqfRkQzh4eFBcnIy6enpRkdptWxsbPDw8Kj3/WstXIF1wJvAhsuObQOe1lqXKaVeBJ4GliilAoB7gH5AN+BHpVQf033eAiYCycBBpdRmrXVEvZMLIYQQQgjRQr36QzQ2FmY8MqG30VEabJy/O+P93Vm5PYbbB3fH3aH+o2atlaWlJT4+PkbHaNdqnSqstd4FZP7u2A9a66pNnfYDVaXzbcAmrXWx1joOiAFCTB8xWutYrXUJsMl0rhBCCCGEEG3K0aRsvjlxnvvH+OJqb210nEbx7C0BFJeV89LWKKOjiHaqMda4zge+M33dHUi67LZk07GrHRdCCCGEEKLN0FrzwnencbW3YuFoX6PjNBofVzvmj/Lhs0PJHE3KNjqOaIcaVLgqpf4KlAEbqw5Vc5qu4Xh1j7lIKRWulAqXOeRCCCGEEKI1+Tk6nf2xmTw6oTf21nVZldd6PDy+F24O1izbfIqKCmlSJJpXvQtXpdQcKps23av/114rGehx2WkewLkajl9Ba71aax2ktQ5yc3OrbzwhhBBCiBavqLScsvL226m1ramo0LzwXSReLrbcE+xpdJxG52BjyZLJ/hxNyuaLIylGxxHtTL0KV1OH4CXArVrrgstu2gzco5SyVkr5AL2BMOAg0Fsp5aOUsqKygdPmhkUXQgghhGjdZoeGcec7e8ktKjU6imgEXx5NIfJCLk/c6IeVRdvcdfKOwd0Z1KMTL2yNJK+4rPY7CNFIav0/Sin1EbAP8FNKJSulFlDZZdgB2KaUOqqUehdAa30K+ASIALYCD2mty02NnB4GvgdOA5+YzhVCCCGEaLcu5hVzLDmHBevDKSwpNzqOaICi0nJe/SGaAd07cvOArkbHaTJmZoq/39qP9Nxi3thxxug4oh2pdeK91npGNYfX1nD+/wH/V83xb4FvrymdEEIIIUQb18XRhoPxmfxx4yFW3xfUZkfq2roP9ieQkl3IS9MGYmZWXXuXtiOwRyemDfUgdHcc9wR74tOK96kVrYf8ZhRCCCGEMNBQbyf++YcB/BSVzl8+Pkq5NL1pdS4VlfLmzhhG93ZlVC9Xo+M0i6cm+2FtYc7zWyKMjiLaCSlchRBCCCEMNiPEk2du7ss3J86z9L/HpWNrK7Pq57NkF5SyZLK/0VGajbuDDY9O6MWOyDR2RqUZHUe0A1K4CiGEEEK0AAtH+/LohN58eiiZf2yJ4H+bNoiWLPVSEWt3x3FbYDf6d+9odJxmNXekD76udjz/dQQlZdIdWzQtKVyFEEIIIVqIv9zQm/mjfFi3N57Xt0UbHUfUwYofz1BeoXl8op/RUZqdlYUZz94SQGxGPuv2xhkdR7RxUrgKIYQQQrQQSimevaUvdwV5sHJHDKt3nTU6kqhBTFoen4Qnce8wLzxdbI2OY4hx/u6M83Nj5fYY0nKLjI4j2jApXIUQQgghWhClFP+6YyA3D+jKP7+N5MMDiUZHElfxyvdRdLA055HxvYyOYqhnbwmguKycl7dGGR1FtGFSuAohhBBCtDDmZorX7w5knJ8bf/3yBF8dTTE6kvidw4lZbD11gUVjfHGxtzY6jqF83eyZP8qHTw8lczQp2+g4oo2SwlUIIYQQogWysjDjnVlDCfF25rFPjrEtItXoSMJEa80L30biam/NwtE+RsdpER4e3wtXe2uWbT4lXbFFk5DCVQghhBBtXmFJOfvOXjQ6xjWzsTRnzZwg+ndz5KEPD7MnJsPoSALYGZVGWHwmf76hN7ZWFkbHaREcbCxZOsWfo0nZfHFEZgiIxieFqxBCCCHavI0HEpi5Zj85haVGR7lmDjaWrJsXgo+LHfdvCOdwYpbRkdq18grNi99F4eNqx93BPYyO06LcMbg7g3p04oWtkeQVlxkdR7QxUrgKIYQQos07fT4XraGsvHXuNelkZ8V/FoTg5mDN3NAwIs5dMjpSu/X54WSiUnN5cpIflubyp/TlzMwUy6YGkJ5bzBs7zhgdR7Qx8n+bEEIIIdq86NRcoyM0mLujDR8sGIadtQWzQw8Qm55ndKR2p6i0nNe2RTOoRyem9O9idJwWabCnE9OGehC6O464jHyj44g2RApXIYQQQrRp5RWaM2mtv3AF6OFsywcLh6E1zFpzgOSsAqMjtSsb9sVzPqeIpZP9UUoZHafFemqyH9YW5jy/JcLoKKINkcJVCCGEEG1aUmYBRaWtc4pwdXq62bNhQQi5xWXMWnOAtNwioyO1CzkFpby18yxj/dwY0dPF6DgtmruDDY+M78WOyDR2RqUZHUe0EVK4CiGEEKJNawvThH+vX7eOrJsXQlpuMbPXhpFdUGJ0pDbvnZ/PcqmolKcm+RsdpVWYN8oHX1c7nv86gpKytnPhSBhHClchhBBCtGltsXAFGOrlxOr7gohNz2fO+weli2sTOp9TyPt74vhDYHcCujkaHadVsLIw49lbAojNyGf93nij44g2oNbCVSkVqpRKU0qdvOyYs1Jqm1LqjOmzk+m4UkqtVErFKKWOK6WGXHafOabzzyil5jTNyxFCCCGE+K2o1LbbxOi63q68OXMwJ1NyWLj+IEWl5UZHapNWbDuD1vCXiX2MjtKqjPN3Z5yfG//efkamtIsGq8uI6zpg8u+OLQW2a617A9tN3wNMAXqbPhYB70BloQs8BwwDQoDnqopdIYQQQoimdKaNjrhWubFfF16dPogDcZk8uPEwpa10y5+W6kxqLp8eSuK+EV70cLY1Ok6r8+wtARSXlfPy1iijo4hWrtbCVWu9C8j83eHbgPWmr9cDt192fIOutB/opJTqCkwCtmmtM7XWWcA2riyGhRBCCCEaVWl5BWfT87C3tjA6SpO6fXB3lt/enx2Rafzl46OUV2ijI7UZL30fhZ2VBQ+N62V0lFbJ182e+aN8+PRQMkeTso2OI1qx+q5x7ay1Pg9g+uxuOt4dSLrsvGTTsasdv4JSapFSKlwpFZ6enl7PeEIIIYQQEJ+RT2m5pndne6OjNLl7h3nx9BR/thw/z1+/OIHWUrw2VHh8JtsiUnlgbE+c7ayMjtNqPTy+F6721izbfIoKuagi6qmxmzNVt6GVruH4lQe1Xq21DtJaB7m5uTVqOCGEEEK0L9Gm9a1+nR0MTtI8Fl/fk0fG92LTwSSWf3NaitcG0FrzwneRuDtYM2+Ut9FxWjUHG0uWTvHnaFI2XxxJMTqOaKXqW7immqYAY/pctUFTMtDjsvM8gHM1HBdCCCGEaDJRqbmYqcq9T6uTnltMUmZBM6dqWo9N7MPckd6s3R3Hv7efMTpOq/Xj6TTCE7L48w19sLVq21PNm8Mdg7szqEcnXtgaKR2wRb3Ut3DdDFR1Bp4DfHXZ8dmm7sLDgRzTVOLvgRuVUk6mpkw3mo4JIYQQQjSZ6Au5eLvYYW1Z/Z88yzaf4v4N4c2cqmkppfjbLQFMG+rBih/PsOaXWKMjtTpl5RW8uDUSXzc77gryMDpOm2Bmplg2NYD03GLe2CEXVMS1q8t2OB8B+wA/pVSyUmoB8AIwUSl1Bpho+h7gWyAWiAHeAx4E0FpnAs8DB00f/zAdE+I3MvKKycgrNjqGEEKINiI6LZc+NUwTjk7N5Wx6XptrZmRmpnjhjgFM6d+F5d+cZlNYotGRWpX/Hk4mJi2Ppyb5Y2He2Cvr2q/Bnk7cOcSD0N1xxGXkGx1HtDJ16So8Q2vdVWttqbX20Fqv1Vpf1FpP0Fr3Nn3ONJ2rtdYPaa17aq0HaK3DL3ucUK11L9PH+035okTrpLVm1poDPLjxsNFRhBBCtAFFpeXEZ+TTp0v1hWtFhSYxs4DScs35nMJmTtf0LMzNWHFPINf3cePpL07w9TFZpVUXhSXlvL7tDIM9OzGpX2ej47Q5Syb7YW1hzvItEUZHEa2MXEISLcbumAwiL+RyOCGLwhLZQF0IIUTDnE3Po0JDn6t0FE7NLaK4rHLP04SLbWudaxVrC3PenTWUYC9n/vLxUXZEphodqcVbtzeeC5eKWDrZH6Wq6y8qGsLd0YZHxvdie2QaO6PSar+DECZSuIoWI3R3HEpBWYXmSFKW0XGEEO1IYUk5t725m7d2xhgdRTSiM7V0FL68WG2rhStABytz1s4Nom9XRx744DB7z2YYHanFyi4o4e2fYpjg784wXxej47RZ80b54ONqx/NfR1BiungkRG2kcBUtwtn0PHZGpTNvpA9KwcE4KVyFEM3ns0NJHEvO4eXvo/jP/gSj44hGEpWai6W5wtvVrtrbE39TuLbt9XYONpasnx+Cl7Mt968P50iivM9W5+2fzpJXXMZTk/2NjtKmWVmY8bdbAojNyGf93nij44hWQgpX0SKs2xOPlbkZfxzbE/8ujhyMl95dQojmUV6hee+XOAb16MQNfd3521cn+e7EeaNjiUYQfSEXX1d7LK/SXCf+Yj4WZgpvF9s2PeJaxdnOig8WDsPF3pq57x8k8sIloyO1KCnZhazbG8+dQzzwu8q6aNF4xvm7M87PjX9vP0NabpHRcUQrIIWrMFxOQSmfHUrm1sBuuDlYE+LtxOHELMrKZeqIEKLpbT15gcTMAv54vS9vzBjC4B6d+NOmo+w7e9HoaKIaWmti0nL58EAib+2MQeurdwOOSs29amMmgITMAjycOuDrZk98Gx9xrdLZ0YaNC4fRwdKcWWvCpLPrZV7fFg3AXyb2MThJ+/HsLQEUl5Xz8tYoo6OIVkAKV2G4TQcTKSwtZ94obwCCfZwpKCnn1Dm5EiyEaFpaa1btOou3iy0TA7rQwcqc0LnBeLrYsmhDOBHye8hwJWUVHE7MYvWusyxcH86Q57dxw2u7+H9fnODl76NIyqy+G3B+cRnJWYX4XaUxE1ROD/ZyscPLxZbEzIIai+C2pIezLR8sDKHC1M3/XHbb66h8Lc7nFPLIR0f47FAyc0d6071TB6MjtRu+bvbMH+XDp4eSOZqUbXQc0cJJ4SoMVVZewfq98Qz3daZft44AhHg7A8h0YSFEk9sfm8nx5BzuH+OLuVll99BOtlZsmB+CvY0Fc94PIymz7U8hbUlyi0r5OTqdV3+I4p7V+xj49++54+29/PPbSM6m5zExoDMvTRvI46ZRMU31xeaZtMrGTL2v0phJa03CxQK8XGzxcraloKScjLySpnlRLVAvdwc2zA/hUmEps9YcID23/e2hXlxWzls7Y5jw6s98f+oCj07ozeM3ymhrc3t4fC9c7a1ZtvkUFW1sP2XRuCyMDiDat+9PpXIup4hlt/b79Zi7ow1eLraExWWycLSvgemEEG3dql1ncbGz4s4hHr853q1TB9bPD2H6u/uYHRrGZw+MwMXe2qCUbVvapSIOxmdxMD6Tg/GZnD5/iQoN5maKft0cmRniRYiPE0O9nHFz+N9/g88PJ9f4uNEXcoGrdxTOLiglt6gMT2dbvEzNmxIu5v/mOdq6/t078v68YO5bG8Z9aw/w8aIRdLS1NDpWs9gRmco/vo4g/mIBNwZ05tlbAujhbGt0rHbJwcaSJZP9ePKz43xxJIU7h3rUfifRLknhKgwVuicOT2dbJvT97Qbfwd7O7IhMQ2ste6gJIZpE5IVL/BSVzuMT+2BjaX7F7X06OxA6N4iZ7x1g/rqDfHj/cOys5W2zIbTWnE3PJzw+89diNdE0ot3B0pwhXp14ZHxvgr2dGezZqUE/7+jUXGwsza5ajFStafV2scPLdE7CxQKCTLN+2osgb2dWzx7KgnXhzF0XxgcLhrXpf+fxGfk8vyWC7ZFp+LrZsWF+CGP6uBkdq927c4gHHxxI5IWtkUzq3wX7NvxvUNSf/KsQhjmWlM2hhCz+dkvAr1P0qoR4O/PZoWTOpufRy106+wkhGt/qXbGVDWqGe131nKFezrw5cwiL/xPOHzceZs3sIKwsZJVNXZWWV3Dq3CUOxlWOpoYnZJGZXzkd18XOiiBvJ2aP8CLY25mAbo5X7f5bH1GpufR2d7ji/aVKVcHs5WKLh5MtZqrtb4lzNaNyJ6bwAAAgAElEQVR7u7FyxmAe+vAw928IJ3RucLUXc1qzgpIy3toZw3u74rA0V/y/m/yZO9JH/n9uIczMFMumBvCHt/fy5o4Ylk6R7YjElaRwFYZ5f08c9tYWTA+6ckpIsE/lFe+wuCwpXIUQje58TiGbj55j1nAvnOysajx3YkBn/nXHAJb89wRL/nucV6cPwuwqxVB7l19cxuHELA7GZxEen8mRxGwKS8sB8HaxZby/O8HeTgR5O+PratekM2qiU3MZ1cv1qrfHZxSgVGWjIisLM7p16kBCO17PPLl/F16eNpDHPjnGwx8e4Z1ZQxr1QoJRtNZsOX6ef357mvM5RfxhcHeWTvGns6ON0dHE7wz2dOLOIR6s3R3L3cE98LnK/sui/ZLCVRgi9VIRW46f574RXjjYXLmextvFFjcHa8LiLjJzmKcBCYUQbVno7jg0sOA6nzqdf3ewJ+m5xbzyQzRuDtb8v5v6Nm3AViItt4hw05Tf8PgsIs5forxCY6YgoJsj94T0INjbmSAvJ9ybqFCorhFwTkEpqZeKr7q+FSAhM58ujja/jix6udgS3w72cq3JHUM8yC8u49mvTvHEp8d47a7Aq45YtwaRFy6xbPMp9sdmEtDVkTdmDG53U8FbmyWT/fj+1AWWb4lg7dxgo+OIFkYKV2GI/+xLoFxr5o70rvZ2pRQh3s4cjM9q3mBCiDYvp7CUj8KSuHlA12tqxvLQuF6k5xazelcsbvbW3D+m/TaPKyot55GPjrAtIhUAG0szBvdw4qGxPQn2cWawp5Oha9Si0yobM9W0h2uiqaNwFS8XO747cb7Js7V0943wJre4jJe2RmFrZcE//9C/1fWayCks5fVt0fxnfwIONhYsv70/M0I8W3UR3l64O9rwyPhe/Ou7SHZGpTHOz93oSKIFkcJVNLui0nI2Hkjghr6d8XK5+jSQYG8nvjlxnpTsQtlTTQjRaD48kEhecRmLrrHwVErxt6n9yMgr4f++PY2rgxV/GNz+ul8WlpSzcMNB9p69yMPjejGhrzv9unVs9rWCNdVSUaaOwn1qGHGNv1jABP///VHs5WxLVkEpOYWldOzQPjrrXs2DY3uRV1TG2z+dxcHGgqen+LeK4rWiQvNJeBIvfR9FdkEJM4d58vhEv1qXA4iWZd4oHzYdTOL5ryMY1dNV1iGLX0nhKprdl0dSyCooZf6omqfoVa1zPRiXSffB3ZsjmhCijSsuK+f9PXFc18uV/t07XvP9zc0Ur909iMz8Ep789DhOtlaMbUcjAvnFZcxfd5Cw+ExenjaIaS1024ozqbnYW1vQrWP105Pzi8vIyCvG83cjrlA5EjvA49r/bbQ1T07yI6+4jNW7YnGwtuCRCb2NjlSjI4lZLNt8imPJOQR5ObHs1pB6/T8ujGdlYcazt/Rl/rpw1u+Nb9ezW8RvNegShlLqL0qpU0qpk0qpj5RSNkopH6XUAaXUGaXUx0opK9O51qbvY0y3ezfGCxCti9aa0D1x9O3qyHDfmteZ+HdxxMHagrD4zGZKJ4Ro6746co603OJrHm29nLWFOatmD6VPZwce3HiYY0nZjZiw5cotKmVOaBgH4zNZcXdgiy1aobKjcJ/O9lcdJUwwrWX1vmzWT9W04fh22ln495RSLJvajzuGdOfVbdGE7o4zOlK10nOLefLTY/zh7b2czylixd2BfPrACClaW7nx/p0Z5+fGv7efIS23yOg4ooWod+GqlOoOPAoEaa37A+bAPcCLwOta695AFrDAdJcFQJbWuhfwuuk80c7siblIdGoe80d51zrtyNxMMdTbiYNxUrgKIRquokKz+pdY+nZ1ZHTvq3ebrQtHG0vWzQ/Gxd6KeesOEpue10gpW6acwlJmh4ZxJCmbN2YM4bbAljsLRmtN1IXcGqcJJ2ZWFqe/XeNqa7qtfTdoupyZmeKlOwcyqV9n/rElgk/Ck4yO9KvS8grW7o5j/Cs/8eXRFBZf78uOJ8Zy++DurWJas6jds7cEUFxWzl3v7uPjg4mUlFUYHUkYrKGTxi2ADkopC8AWOA+MBz4z3b4euN309W2m7zHdPkHJb5Z2J3RPHK72Vkwd1K1O5wd7O3MmLY8s075/QghRXzsi04hJy2PxGN9G+cPW3cGGDfOHoYDZoWGkXWqbowLZBSXct/YAJ1NyeGvmEG4e2NXoSDXKyCshq6C0xsK1asT18qnCtlYWuDlYt9u9XK/GwtyMlTMGM7q3K0v/e5xvjhvfwGpvTAY3r/yF57dEMMTLia1/HsPTU/oa2hBMND5fN3vemx2EnbUFS/57gjEv7WTNL7EUlJQZHU0YpN6Fq9Y6BXgFSKSyYM0BDgHZWuuqf1HJQNVl2e5Akum+ZabzXer7/KL1iU3PY0dkGvcO86rzxuYhVetcZbqwEKKBVu+KpXunDo1aePm42vH+vGAy80uYHRrGpaLSRnvsliAzv4SZ7x0g8nwu784ayuT+XYyOdIXf74ZzJrWyMZNfDR2F4y8W4GxnhePvtmPzli1xqmVtYc6q+4YyxNOJP398hJ1RaYbkSMku5MGNh5i55gCFpeW8NzuIdfOC6elmb0ge0fTG+rmz5ZHrWD8/BE8XW5Z/c5qRL+xgxY/RZBfIoEZ705Cpwk5UjqL6AN0AO2BKNadWvadUd3n7it3XlFKLlFLhSqnw9PT0+sYTLdC6vfFYmZtx7/C678s60KOyU6UUrkKIhjicmEVYfCbzr/PB0rxxO1QO9OjEu7OGEpOWx/3rwykqLW/UxzdKRl4xM1bv52x6Hu/NCWJC385GR6qTKFPh2rvz1YuZxMx8PKvZCsnT2Y5EKVyrZWtlQei8YPy6OPDAfw6xP/Zisz13UWk5b2w/w4RXf2JHZBqPTezDtr9cz8SAzjItuB1QSnF9Hzc+WTyC//5xBEFeTqz48QwjX9jB8i0RXMhpm7NdxJUa8u59AxCntU7XWpcCnwMjgU6mqcMAHsA509fJQA8A0+0dgSuqEa31aq11kNY6yM3NrQHxREuSU1DKp+HJTB3UDXeHum9Cb21hTqBHJ8JkP1chRAOs/jmWjh0suSe4R5M8/pg+brx61yAOxGXyl4+PUl5xxXXZViXtUhH3rN5PQmY+oXODub5Py3s/VtVeD4fo1FycbC1xs7e+6n3jMwrwdrmycPV2seXCpaI2c/GhsTnaWLJ+XggeTh1YuD6c48lN25hMa822iFRufH0Xr26LZry/Oz8+dj2PTuhd55lbom0Z6uXMmjnBbP3zaG4M6Mz7e+MZ89JOnv78OHEZMs2/rWtI4ZoIDFdK2ZrWqk4AIoCdwDTTOXOAr0xfbzZ9j+n2HVrr1v3OLurs4/BECkvLmTfK+5rvG+zjxKmUHFnTIISol9j0PL6PuMCs4Z7YNeEauNsCu/PMzX357uQFlm0+RWt9i7uQU1m0nssuZN28EEb1algjq+YWnZpHn84OVx2JKymv4HxOIZ7V7CPuKQ2aauVib83GhcNxsrNkdmjYr3vmNrbY9Dzmvn+Q+zeEY21hxsaFw3j73qF4OF15wUG0P/5dHFlxz2B2Pj6Wu4I9+O/hFCa8+hMPf3iYU+dyjI4nmkhD1rgeoLLJ0mHghOmxVgNLgMeUUjFUrmFda7rLWsDFdPwxYGkDcotWpKy8gvV7Exjm41yv9vTB3s6UVWiOJLaPLSeEEI1rze44LM3NmDPSu8mfa+FoXxaP8eU/+xN4Y0dMkz9fY0vJLuTu1ftIyy1mw/wQhvu2rlYUWmuiL+TWuL41OauQCk21I65Ve7nGy8hNjbp0tGHjguFYmZsxa+2BRv155RWX8a/vTjNpxS4OJ2Tx7C0BfPun0a3uAopoHp4utiy/fQC7l4xj0Zie/BSVzs0rdzP3/TDCZFeKNqdBl5611s8Bz/3ucCwQUs25RcD0hjyfaJ1+iEglJbuQv00NqNf9h3o5YaYgLC5T3riEENckPbeYzw4lc+cQj2taptAQSyb7k55XzGvbonFzsGZGSN3X9RspKbOAGe/tJ6ewlA0LQhji6WR0pGt2PqeI3OIyeteho7DXVaYKg4y41oWniy0bFw7jrlX7uHfNAT774wi6duxQ78fTWvPV0XP867vTpF4qZtpQD5ZM9sfN4epTvoWo4u5gw9Ip/vxxbE8+2J/A2t1x3LVqH0FeTjw4rifj/NxlPXQb0LgdKoSoRujuOHo4d+CGejb2cLCxpG9XR2nQJIS4Zhv2xVNaXsH9o32a7TnNzBQv3jmQsX5u/PWLE3x/6kKzPXd9xWfkc/eqfeQWlbFx4bBWWbRC5fpWAL+a9nA1bXfj6XzlVOFOtlY42lgQL1vi1Envzg5smD+MnMJSZq05QEZecb0e59S5HO5atY8/f3yUzo42fP7gSF6ZPkiKVnHNOnaw5KFxvdizZDzLpgZwPqeI+evCmfLvX/jqaApl5bIXbGsmhatoUseSsglPyGLuSB/Mzep/pSvY25kjidmUyi8cIUQd5ReXsWFfAjcGdMa3mbfLsDQ34+17hzDAoxOPfnSkRU9ZO5uex92r91FYWs6H9w9joEcnoyNdk8vXElcVrn1q6Cgcf7EAOytzXO2tqr3d29Xu11FZUbsBHh0JnRtMSnYhs9eGkVNY9y2hsgtKePbLk0x9Yzdn0/N54Y4BfPngqFZ74US0HB2szJk7yoefnhzLK9MHUVah+dOmo4x/9Wc2HkiQBmytlBSuokm9vycOe2sL7gryaNDjhPg4U1hazskUWXAvhKibT8KTyCksZdGYnoY8v62VBe/PDaa7UwcWrj/YZE1sGuJMai53r9pPeYVm06IR9Ot27X0IWpKoC3m4O1jTybb6ohQgIbMATxe7q04b9HS2lcL1GoX4OPPurKGcSctl/rqDtTZTLK/QbDyQwLhXfmLjgQRmj/Bm5+NjuSfEE7MGXOQW4vcszc2YNtSDH/48hndnDcXJ1pK/fnGS0S/tZNXPZ8krlsafrYkUrqLJpF4qYsvx80wP8sDhd5u8X6tgb2cAmS4shKiTsvIK1vwSR7C3E0O9jBu9cbazYsP8EGwszZkTGkZKdqFhWX4v8sIl7lm9H6Vg06LhNTY0aomqqzvPpNXcmAkg4WJ+tY2Zqni72JGSXSgzfK7RWD93Vt4zmCOJWSzacOiqI1qHEjK57a3d/PWLk/Tp7MC3fxrNslv70dG2YX8nCFETMzPF5P5d+PKhUWxcOAy/zg7867tIRv5rO6/+EMXFek5zF81LClfRZP6zL4FyrZnbCJ083Rys8XG1IyxO9nMVQtTumxPnSckuNGy09XIeTrasnx9CfkkZs9ceICu/xOhInEzJYcbq/Viam/HxouH0cm9dRWt1Kio00am59KlhfStAdkHpr9veVMfTxZbyCk1KVsu5yNBaTBnQlZemDWJ3TAaPfnTkN+sJ0y4V8djHR7nznX1czCvhjRmD2bRoOP5dHA1MLNobpRSjernywcJhfPXQKEb0dOGNHTGMenEHyzafalEXF8WVpHAVTaKotJyNBxK4oW/nX7cXaKgQb2fCEzKpqGideyMKIZqH1ppVP8fS082OCf7uRscBoG9XR9bMDiIpq5D562ufStmUDidmMfO9/dhaWfDx4uHNvv63qSRlFVBUWlHj+tYq3jW8L1XdliCdhetl2lAPlk0N4IeIVJ787DjFZeW8tyuW8a/+zJbj53loXE+2P349Uwd1ky6vwlCDenRi1X1B/PjYGG4e0I0P9idw/Us7eeLTY8Sk5RkdT1RDClfRJL48kkJWQSnzRzVeJ89gH2eyC0o5I79MhBA12BNzkYjzl1g0xrdFrZcb5uvCynsCOZaUzcMfHjFkKuremAxmrTmAk50VmxYNb7QLiy1BdGrle0NtI64AXs5XH3Gt2iYnUToL19vcUT48OcmPL46kMOyf2/m/b08zzMeZH/4yhicn+WNr1aDdGIVoVL3cHXj1rkH8/NQ4Zg33Ysvxc0x8/Wce+M8hjidnGx1PXEYKV9HotNaE7omjb1dHhvs6N9rjhpjWuYbJOlchRA1W7TqLm4M1tw/ubnSUK0zu35Xnb+/Pjsg0lv73xG864ja1HZGpzF13EA+nDny6eAQ9aijeWpOqn2BVR+Ga9nCtUtNUYXcHa2wszYiXBk0N8uDYnjw6oTddO3YgdG4Qa+cG4+3adi6UiLane6cOLLu1H3uWjOehsb3YczaDW9/cw6w1B9gbk9Gsv69F9aRwFY1uT8xFolPzmD/Ku1GnAfVw7kBnR2sOtuBtJYQQxjp1LodfzmQwb5Q31hbmRsep1r3DvPjThN7893AyL30f1SzP+fWxcyzacAj/Lg58vGgE7o42zfK8zSnqQi7dO3XA3rrm0TwrczO6duxw1duVUng5y5Y4DaWU4rGJffjuT6MZ71+/fdyFMIKLvTVPTPJj79LxLJ3iT+SFXGauOcDtb+/l+1MXZMmagWSuhmh0oXvicLW3Yuqgbo36uEopgr2dORifidZa1sYIIa6welcsdlbm3DvMy+goNfrzDb1JzyvmnZ/O4mZvzfzrGm9Zxe99fDCRpZ+fINjLmbVzgxrc5b2lik6tvaMwgIdzh1r3Ffd0sSU+Q6YKC9GeOdhY8sD1PZk70pvPDiWzatdZFv/nEL3d7Xng+p7cGtgNS3MZA2xO8tMWjSo2PY8dkWncO8wLG8vGH+0I8XHmfE4RydLtUQjxO8lZBWw5fp4ZIZ507NCyizOlFM/f1p9J/Trzjy0RbD52rkmeJ3R3HEv+e4LRvd1YPz+kzRatpeUVxKbn12l9a02Nmf53ji2JmQUysiKEwMbSnFnDvdj5+Fj+fU8g5maKxz89xtiXf2L93ngKS6rf+kk0PilcRaNatzceK3Mz7h3u2SSPL/u5tg///PY0G/bFGx1DtDJrd8ehoElHLxuTuZni3/cMJsTHmcc/OcruMxmN9thaa97YfoZ/bIlgcr8uvDd7KB2sWubU6caQcDGfkvIK/LrU3lHYsw5rez1d7CguqyA1t6gx4gkh2gALczNuC+zOd38azdo5QXTpaMNzm09x3Ys7eGtnDDmFpUZHbPOkcBWNJqeglE/Dk5k6qBvuDk2zfsqvswOONhZSuLZh0am5rN4Vy6fhyUZHEa1IdkEJHx9M4tZB3ejW6errF1saG0tz3psdRE83exb/J5wTyTkNfkytNS98F8mr26K5Y3B33pw5uMWu920sURcqOwr3rsN+tF41NGaq4m06R9a5CiF+TynFhL6d+eyBEXy8aDj9u3fk5e+juO6FHbzwXSRpcsGryUjhKhrNx+GJFJaWM2+Ud5M9h5mZIsjbmTBp0NRmvbcrFqgsYMtlmp6oow/2J1BQUs6i632NjnLNOnawZP38EDrZWjFvXRgJDdiGpaJC88yXJ1m1K5ZZwz15ZfogLNrBGqzo1FzMFPRyb9gerlW8nE17ucqWOEKIq1BKMczXhfXzQ9jyyHWM8XNj1a6zXPfiTp758gRJshd0o2v772aiWZSVV7B+bwLDfJzp371jkz5XsLczZ9PzuZhX3KTPI5pf6qUivjyagruDNcVlFSTKL31RB0Wl5azbG8/1fdzw7+JodJx66exow/r5IZRXaO5bG0Z67rX/fisrr+DxT4+x8UAiD1zfk+dv69+i9rFtKlpXFq7eLnZ16q1Q01Y4Vbp1ssHCTMmIqxCiTvp378hbM4ew4/Gx3DG4Ox8fTGLsKz/x501HiLqQa3S8NqNBhatSqpNS6jOlVKRS6rRSaoRSylkptU0pdcb02cl0rlJKrVRKxSiljiulhjTOSxAtwbaIVFKyC5tlbVmIjxMAB+Ozmvy5RPN6f0885RWav00NAJBf9qJOPj+cQkZeCYtb4Wjr5Xq52xM6N5j03GLmvh9GblHd10sVl5Xz4MbDfHEkhScn+bF0in+76rwelZpL7841j7aO83PnoXE98anDiKuFuRkeTh2kcBVCXBMfVzteuHMgvzw1nnkjvfkhIpVJK3axcP1BDiXI360N1dAR138DW7XW/sAg4DSwFNiute4NbDd9DzAF6G36WAS808DnFi1I6J44ejh34Ia+Tb9X24DunbC2MJN1rm1MXnEZGw8kMKV/V8b7u6NU5SiKEDUpr9Cs+SWWAd07MsLXxeg4DTbY04m3Zw0h8kIuD3xwiOKy2rtVFpSUsXB9OD9EpPLc1AAeGterGZK2HMVl5SRcLMCvlo7CPZxteXKSf51Hob1c7EjIlKnCQohr16WjDc/cEsCeJeP58w29CU/I4s539nL3qn38HJ2O1rIUqj7qXbgqpRyBMcBaAK11idY6G7gNWG86bT1wu+nr24ANutJ+oJNSqmu9k4sW43hyNgfjs5g70qfWvfEag5WFGYE9Oknh2sZsCkskt6iMRWN8sbWywNPZVkZcRa22RaQSm5HP4ut928wI4zg/d166cyB7Yi7y2CfHatyS5VJRKXNCw9gTk8FL0wYyb1Tr6KjcGKr+e8em51NeoelThz1cr4WXiy0JGQXyB6YQot6c7Kz48w192LNkPM/c3JeEiwXMCQ1j6pu7+eb4eenlcY0aMuLqC6QD7yuljiil1iil7IDOWuvzAKbP7qbzuwNJl90/2XRMtHLv74nH3tqCu4I8mu05Q3ycOXXuEvnFZc32nKLplJZXELo7jmE+zgzq0QmAPp0diJIRV1EDrTWrdp2lh3MHJvfrYnScRnXnUA+WTvHnm+Pn+ceWiGqLp8z8Ema+t58jidm8MWMIdwX1MCCp8apmZtRlD9dr4eViR25xGVkFssWFEKJh7KwtWDjal5+fGsuLdw4gv7ichz48zMTXfubjg4mUlFUYHbFVaEjhagEMAd7RWg8G8vnftODqVHcp/Ip3YqXUIqVUuFIqPD09vQHxRHNIvVTEluPnmB7k0awb2wd7O1NeoTmcKOsF2oItx89xLqfoN2sU/To7EJeRX6epkqJ9Ck/I4khiNveP9m2TnXMXj/FlwXU+rNsbz9s/nf3NbamXirh71T7OpObx3uwgbh7YficwRafmYmmu6tQt+Fp4OVdtiSPThYUQjcPawpy7gz358bHreWvmEDpYmbPkvycY89JO1vwSKwMytWjIO30ykKy1PmD6/jMqC9nUqinAps9pl51/+eVgD+Dc7x9Ua71aax2ktQ5yc3NrQDzRHD7Yn0BZhWbuSO9mfd4hXk6YKTjYwG1xwuMzicuQP0qMpLVm1c+x9Ha3Z2wf91+P+3VxoLxCczZN/vuI6q36ORYnW0umD22bI41KKf56U19uC+zGy99H8Ul45aSlpMwCpr+7j3PZhaybF8I4f/daHqlti07Nw9fVHiuLxr144e0qe7kKIZqGuZni5oFd2fLIdayfH4KXiy3LvznNqBd3sOLHaLILSoyO2CJZ1PeOWusLSqkkpZSf1joKmABEmD7mAC+YPn9lustm4GGl1CZgGJBTNaVYtE5FpeVsPJDIDX0749XIV7prY29tQb9uHQlrwDrXkrIKZry3n7IKzQ19O3P/aF+CvZ3azDq51uKXMxlEXsjlpWkDf9M0xc+0Xi06NZeAbq1zixPRdGLScvnxdCp/mtCbDla1b4HSWpmZKV6eNojM/BKe/vwEBcVlvPtzLIWl5XywcBiDPZ2Mjmi4+Iv53Dyg8UecPZxsUUoKVyFE01FKcX0fN67v48ahhCze+SmGFT+eYfWuWGaGeLJwtC9dOtoYHbPFqHfhavIIsFEpZQXEAvOoHMX9RCm1AEgEppvO/Ra4CYgBCkznilbsq6MpZOaXMN+gZiDB3s5sPJBASVlFva60ZxWUUFquCfFx5mB8JtsiUhnUoxP3j/Zhcr8ubXLqYUu0elcs7g7W3BbY7TfHvV3ssDRXss5VVOu9XXFYW5gxe4SX0VGanJWFGe/MGsqM1ftZ9nUErvZWbFo0nL5d5YIOVO7jWltH4fqwsTSni6ONTBUWQjSLoV5OrJkTTOSFS7z701ne3xvPhn0J3DGkO4uv74mPa/MOErVEDSpctdZHgaBqbppQzbkaeKghzydaDq01obvj6dvVkeG+zoZkCPFxJnRPHEcSsxhWj20wLuZVTsOYP8qb6/u489nhZNb+EsvDHx7Bw6kD80f5cFdwD+ytG3p9R1zNyZQcdsdksGSyP9YWvx01s7Iww9fVnmjpLCx+J+1SEV8cSeHu4B642FsbHadZ2Ftb8P68YN7cEcPsEV74utW8Z2l709gdhat4udiSkCkjrkKI5uPfxZEV9wzmsYl+rP7lLJ+EJ/NJeBJTBnTlwbE96deto9ERDSNDSqJe9p69SFRqLvNHeRs2tXa4rzMONhY88MEhfo6+9kZeF/OLAXC2s6aDlTn3Dfdi++NjWXXfULp2tOEfWyIY8a/tvPBdJBdyiho7vgDe+yUWOytzZg7zrPb2Pl0ciJTCVfzO+3vjKauoYOHo9rP1C4CrvTXLbu0nRavJ5e88TTHiCuDlbCcjrkIIQ3i62LL89gHsXjKORWN68nNUOjev3M2c0DDCGtjjpbWSwlXUS+juOFztrZg6qFvtJzeRTrZWfPnQKNwdbJj7fhivbYu+pv2wMvMrR1xd7K1+PWZuppjUrwufPjCSLx4cyZjebqzedZbrXtzBYx8fJeLcpUZ/He1VclYBW46fZ0aIJx07VN+R2q+zPSnZheQWyXYULVFcRj7ncwopLW++Nv55xWV8sD+BKf27NvvaetEyWVuY0cPUAbixebnakpFXQp50+hRCGMTdwYalU/zZs3Q8T07y42RKDnet2se0d/ay/XRqu9prWuZAimsWl5HP9sg0/jShNzaWxjZF6elmz5cPjeLZr06ycvsZDidkseKeQFzrMH0wwzRV2MXOqtrbB3s68da9TiRlFrB2dxyfhCfx+ZEUruvlysLRPlzfx00aOTVA6O54FDD/uquPmlXtyxidmstQL2OmpIvq7YpOZ3ZoGABKgbOtFW4O1rg72uDuYP2/D0ebyuMO1rg72DS4kdKmsJnDXIoAACAASURBVERyi8pYNMa39pNFu9C7sz3mZk3zu9jLufLiSMLF/HY9PU8IYbyOHSx5aFwv5o/y4ZPwJFbvimXB+nD8uzjwx7E9uXlA1zbfn0UKV3HN1u2Jw9Jcce/w6qd3NrcOVua8Mn0QId7OPPvVSW5e+QtvzhxCsHfNhU5mfjEWZgrHWvaf7eFsy7Jb+/GXG/qwMSyBdXvimfv+Qfw6O7BgtA+3BXa7Yn2mqFlOQSmbDiYydVA3unXqcNXzqprPTHt3H/+/vfsOj7LKHjj+vekJJCGhhJAQEnrvvaOiiF0RxLJ27Lq6RXdXXdfys+yuZdfVFcWuIOraQUVF6U1675BAKCGQhPRk7u+P84YkkEAISWYycz7PM09m3nln5iY3M/Oe9557bkx4CPFRocRFhcrPRmFlroe6/SSKr3n15200jwjhnrPbciAznwNZ+RzMyuNAVj6b92WRdjSfogoyIMKDA2gaURrISnBb/nrT8BAiQgJOODFUWOxiyrwdDGwdTY+WjerqV1Uern0tpQmDzHEF2H0oRwNXpZRHCA3y5/rBiVw9IIEvV+7l1V+2cd+0lfzz+83cNqI1E/sllFulwZto4KpOS0ZuIR//msJFPVrQLNyzynOP79eSrnGR3PnBr1w1eRF/PK8Dk4a3rnRU9NDRAqIaBFX5zR0ZFsidI9tyy9DWfLVqL6/P3c4fP1nN37/bxA2DE7lmQAKNwioevVXlvb94FzkFxdw67OSjZi2jw3jtuj6s35tJyuFc9hzJ4dddh/l6deoJaeFNGgYfC2TjG4WWCXLDiGsUSgMtslVjViUfYeH2Qzx8QSeuGVBxVV+Xy5KeU8CBzHwOHs3nQGaeE9zmcyArjwOZ+axMPsKBrDzyCk9MNQ4O8Csf0IYHk11QTGpGHv93Wbfa/hVVPVIXgeuHS3azPjUTfz9DgJ/B38/P+Vl6Kbkd4C/3+5sy2/1L7/c3pfsE+Bnyi+ou1V4p5T0C/f24ok88l/WKY9aG/bzy8zb+8tlaAvwME/p5xuBSTdMjOXVapi9NJqeg2G1L4JxK5xYRfHnPUB78ZDVPz9zIsl2H+ceVPSqcQ5l2tKDSNOGTCQqQD4rLe8cxb2sak+ds5+/fbeLln7Yyvm88Nw1N0rl3J5FfVMzbC3YyrF2TKq3Pel6X5pzXpXm5bUXFLvZn5bPncC4ph3Ocn7nsOZLLuj0ZzFq3n4Lj5l1GhQVKIHvcSG18lNyubJ6tOtHkOdsJDwngqv6VfzH6+RmaNAw+Zdq+tZas/CJn1DZPAlvn+gHn+pYDR5m/NY3MvCK6xkUwskPTmv6VVD1WW4WZAMJDAunbKorF29OZvzWN0yijcFoGJJ1+ZXyllAL5vj2vS3PO7RzD0Gdn8/Omgxq4KlVU7OLtBTvpnxRN1zjPTZmKCAnklWt689b8nfzfjA1c+O+5vHJ1H7rFl29zenZ+ucJMp8sYw7B2TRnWrikb92XyxtwdfLhkN+8t2sV5XZpzy7DW9GkVdaa/jtf5fMUeDmbl88L4ntV+jgB/P+IaSeDZP+nElHCXy3LwaD4pJYHtkdxjwe3Wg0f5efOBE0b5wkMCjgWy8RUEtlFhgTqnGdiZls3MtancPqJNjSwVZYyk60eEBNK22cmr5eYVFuPvZ7QfFAAdmofTNS6CXgm1mzb+yR2Dj113uSzF1lLsshS55Kdcd8nP4tL7XLbsbdcJjym97dI5/EqpM2aMYVCbxvywYT8ul/XKdGENXFWVzVq/nz1Hcnnkws7ubsopGWO4aWgSPVo24u4Pl3PFqwt49KLOXDMg4dhB76HsAnpE1cwBT8fmEfzjyh784bwOvLNgJ+8v2sXMtfvo0yqKW4clMbpz81orHlKfuFyWyXO20zk2giFta2+Ewc/PEBMRQkxESIUnD6y1pGcXHBulLTtqm3I4h0XbD51QRTQsyN8JZMunIJfcbtow2CcCqjfmbSfAz48bhiTW+WvrPGZVVvuYcL6+Z1idvqafn8EPg/4rKqU80ZC2jfnk1xTWp2Z69CBTdWngqqrszfk7iI8KZXTnGHc3pcr6tIrim3uH8duPVvLw52tZujOd/7usGw2CA0g/WkB0NVKFTyYmIoQ/junIXaPa8vGyZKbM38Ht7y+nVeMwbh6axLg+8YQF+e7b7qeNB9h2MJuXrurp1iDPGEPjhsE0bhhcYZEfay2ZuUUkO6O1KYdzS9OSj+SyfPcRMnLLL9ETHOCMApfMsz0usG0WHlLvT16kHc3n42UpXNEnzuPmuCullFK+bnCbJgDM35qmgavyXatTjrB052EevqBTvTv4jm4QxNs39OM/s7fywg+bWbc3kxcn9CQrv4gmZ5AqfDINggO4YUgS1w1K5Lt1+3h97nYe/WIdz8/azLUDWvGbwa188sB/8pztxDUKZWy3WHc35aSMMUSGBRIZFlnpB39WXmG5FOSyI7ff783kkLNOcIlAf0Ns5IkpyCW3YyNDPL6M/bsLdlJQ7OKWUxTVUkoppVTdi4kIoW2zhszfdojbRrRxd3NqnAauqkremr+TBkH+jO/X0t1NqRY/P8M9Z7ejT6so7p22gstfWQBA4yqs93om/P0MY7vFMrZbLL/uSmfynO385+etTJ6znUt6tuDW4a1rtSKmJ1mx+zBLdqbzyIWdCfTwAK0qwkMC6dg8kI7NKy4wlVtQXBrMHjdqO2fLQfZn5pfb389AbGTocenIsuxPfFQosY1C3LrsUnZ+Ee8s3MW5nWNo0/Tkc1GVUkop5R5D2jRm+rIUCopcBAXU/+OtsjRwVae0PzOPr1fv5ZoBrU655qmnG9y2Cd/cO4x7PlzBkp3pNI+su1HPPq2iee26aHamZTNl3g4+/jWZj39NYUT7ptw6rDVD2jb26jmSk+dsJyIkgKvq6cmP0xUa5E/bZg0rLTiUX1RM6pG8Y8v8lAa2uSzekU7qytxyFUyNgWbhwRWO1pYUlKrNOaDTlyWTkVvolWdwlVJKKW8xuG0T3lm4ixW7DzOgtXdVLNfAVZ3S+4t2UeSy3DA40d1NqRExESF8eOsAluxIZ6Ab3tCJTRrwxKVdeWB0ez5YvIu3F+zi2imL6RQbwa3DkriwewuvO0O2My2bb9ft444RbXQ9VUdwgD+JTRqQ2KTipZMKi13sy8irsIDUyuQjzFiTStEJa9kGEdcolE6xEfzlgk6E19CJpsJiF2/M3UH/xGh6J2ilbKWUUspTDWzdGD8D87cd0sBV+Za8wmI+WLybszvGVHqAXR8F+PsxuG0Tt7YhqkEQd5/VjluGtebLlXt5fe52Hpi+iue+3cQNQxKZ2D/Ba9YWfWPedgL9/Lzm5EddCPT3o2V0GC2jwyq8v9hlOZCVd2yktiS4TTmcy/RlyRhjePrybjXSlhlrUtlzJJfHL+lSI8+nlFJKqdoRGRpIt7hIFmxN44HR7d3dnBqlgas6qS9W7iE9u4Cbhia6uyleKyRQ5g5f2Teenzcf5I2523lm5kb+/eMWJvRL4MYhiZUGL/XBIacS7WW94mgW4XsFqWqLv58Ue4qNDKVfYvn7np6xgdfmbOeCbrEMbXdmJ2istfz3l+20a9aQUR2andFzKaWUUqr2DW7bhNfnbCc7v8irMt3OOB/RGONvjFlhjPnauZ1kjFlsjNlijPnIGBPkbA92bm917k8809dWtctay5vzdtKxeTiDvCzVwBMZYxjVoRkf3DKQb+4dyrldmvPuwp2M/MfP3P3hclYlH3F3E6vlvUW7yC9ycevwJHc3xWfcP7o9rZs24MFPV5+wHu3pmrsljQ2pmdw6vLVXLmaulFJKeZshbZpQ5LIs2ZHu7qbUqJqYSHcfsKHM7WeBF6y17YDDwM3O9puBw9batsALzn7Kgy3YdohN+7O4aWiSVxcN8kRdWkTywoSezH1wFLcMTeKXTQe55D/zGf/aQmat34/ruLmNniq3oJh3F+7inE7NaNvMN6one4KQQH/+Pq4HezNyeXrGhlM/4CRem7ONmIhgLunZooZap5RSSqna1DcxiqAAP+ZvTXN3U2rUGQWuxph44ALgDee2Ac4CPnF2eQe41Ll+iXMb5/6zjUZDHu3NeTto3CCIi3voAau7xEaG8qexnVj457N55MLO7Dmcy63vLuOc53/hg8W7yD7D0bTa9sHiXaRnFzBpuFairWt9WkVxy9AkPli8u9pfXGtSMpi/9RA3DUly61I8SimllKq6kEB/+iREMX/bIXc3pUad6Yjri8AfAZdzuzFwxFpbcjSdAsQ51+OAZADn/gxnf+WBdqRl8+PGA1wzsFWtLrGhqqZhcAA3D03ilz+M5N8Te9EwJIC/fLaW3k/M4tZ3l/HZihQy8wrd3cxyftywn6dnbmRE+6b0S9RKtO7wu3M70LpJA/74SfVShl+bs43w4AAmDkiohdYppZRSqrYMaduYDamZHDqaf+qd64lqB67GmAuBA9baX8turmBXW4X7yj7vJGPMMmPMsoMHD1a3eeoMvbNgJ4H+hmsH6gGrJwnw9+OiHi344q4hfHrHICb2T2BNSgb3f7SKPk/M4sa3ljB9WTJHcgrc2s4lO9K584PldGkRwX+u6a2p5m4SEujPc+O6szcjl2dmnl7K8O5DOcxYk8rVAxPq/frNSimllK8pWT1j4XbvGXU9kzJTQ4CLjTFjgRAgAhmBbWSMCXBGVeOBvc7+KUBLIMUYEwBEAifMGLbWTgYmA/Tt27d+TOTzMhm5hUxflsxFPVrQLFyrwHoiYwx9WkXTp1U0j17YmRXJR/h2bSoz1uxj9qbV/NnPMKhNY87vGsu5XWJo0jC4ztq2bm8GN7+9lLioUN66oR8NvaiaXX3UNzGam4YkMWXeDsZ2ja3yMlBvzNuOv5/hpiFaVEsppeq1LbPgx8ehRU/ofxs07+ruFqk60D0ukvDgAOZvPcSF3b1j2l+1R1yttX+y1sZbaxOBq4CfrLXXALOBcc5u1wNfONe/dG7j3P+TtVYDUw/08bJkcgqK9YC1nvDzM/RpFcVfLujMvAdH8eXdQ7h1eGuS03P482dr6P/UD1w1eSHvLtzJ/sy8Wm3LjrRsrn9zCeEhAbx/8wAa12HArCr3+3M7kNg4jD9+urpK86IPHc1n+rJkLusVR4wuYaSUUvVTcZEErB+Mg7wMWP0x/HcIvDUW1n0u9yuvFeDvx4DW0SzY5j0FmmqiqvDxHgQeMMZsReawTnG2TwEaO9sfAB6qhddWZ6io2MVb83fSPymarnGR7m6OOk3GGLrHN+LBMR2Z/fuRzLxvGHePakva0QIe/WIdA5/+kXGvLmDKvB3sOZJbo6+9LyOP66YsxmXh3ZsH0KJRaI0+v6q+0CB//n5lD/YcyeXZbzeecv93F+4ir9DFpOGt66B1SimlalzWfnjvUpj7T+h1Ldy5CB5YD6OfgIxk+Ph6eKmH3J/tPamkqrzBbZqw61AOKYdz3N2UGmE8edCzb9++dtmyZe5uhk/5dm0qt7+/nP9e24cxXZu7uzmqBm3Zn8XMtfuYsSaVjfuyAOjRshFjuzbn/K6xJDQOq/ZzH8kpYPxrC9lzOJepkwbSPb5RTTVb1aDHv1rPm/N3MPXWgQxqU3FtvJyCIoY88xN9WkXzxvV967iFSimlztiOufDJTZCfBRf8E3pdU/5+VzFs/g4W/xd2/AL+wdBtHPSfJOnEymts2pfFeS/O4blx3Rnft6W7m1MpY8yv1tpTHnRo4KqOWZl8hD98vIrcwmJ++cMo/P20oI632pGWzcy1qcxcs481ezIA6NIigrHdYhnTtTltmjas8nPlFBRxzRuLWbcnk7dv7FflOZSq7uUWFDPmpTm4rOW73w4nLOjE+cfvLNjJX79cxye3D6JvYrQbWqmUUqpaXC6Y9zzMfgqi28D4dyCmy8kfc2AjLJkMq6ZBYTa0HAgDJkGni8FfC/PVd9Za/vn9ZsZ0be7RmZQauKoqW5OSwQs/bOanjQeICgvk7+N6cE7nGHc3S9WR5PQcvl27jxlrU1mx+wgAHWLCOb9bc8Z2i6Vds4aVVgXOLyrmlneWMX9rGq9co6P09cGSHelMmLyQ6wcl8tjF5Q9oiopdjPzHz8REhPDpHYPd1EKllFKnLScd/jcJts6CrlfARS9BcHjVH597BFZ+AEteh8M7IDwW+t4EfW6Ahs1qrdlKgQauqgrW7sngxR+28MOG/USGBjJpeGuuH5yoVWB9WGpGLt+u3cfMNftYuisda6F10waM7SojsV1aRBwLYotdlnunreCb1ak8d0V3xvfz3BQUVd5jX67j7QU7mTZpIANbl6YMf7lqL/dOXcHk6/pwbhc9CaGUUvVC8hL4+EbIPgBjnoa+N0N1l6FzuST4XfwabPsR/IOgy+UyChvXp2bbrZRDA1dVqQ2pmbz4w2a+W7efiJAAbh3WmhuGJBKuazWqMg5k5fHduv3MXJPKou2HcFlIiA7j/G4yJ3b6smQ+XLybP4/tyKThbdzdXHUacgqKGPPiXIyBmfcNIywoAGstF/57HrmFxfxw/wj8dKqAUkp5Nmth0asw6xGIaAFXvgNxvWvu+dO2SBrxyg+h4CjE9YUBt0HnSyEgqOZeR/k8DVzVCTbty+LFHzYzc+0+woMDuHlYEjcOSSIyVANWdXKHjuYza/1+Zqzdx4KtaRS55HPj9hFteOj8jm5unaqORdsPcdXkRdw4JJG/XtSFeVvSuHbKYp69ohsT+iW4u3lKKaVOJi8DvrgLNnwFHS6AS/8DoVG19FqZsGqqBLGHtkKDZpJG3PdGCNfsHHXmNHBVx2zZn8WLP25hxppUGgQFcNOQRG4e2prIMA1Y1ek7klPArPX7ySko5jeDWlU6/1V5vr9+sZZ3F+3io0mD+PdPW9i4L4t5D44iOMDf3U1TSilVmdRVMP16OLIbRv8NBt1d/dTg0+FywbafYMlrsOV78AuQ0dcBt0F8v7ppg/JKGrgqth44yr9+3MJXq/cSFujPDUMSuWVoa6IaaHqHUgqy84sY89Ic8gtdHMjK58ExHbljpKZ9K6WUR7IWfn0bZj4IYY3hyrcgYaB72nJoGyx9A1a8D/mZENsTBtwOXS+HgGD3tEnVWxq4+rAdadn868ctfLFyD8EB/lw/OJFJw1sTrQGrUuo4C7alcfXri2kYHMD8h87SqQNKKeWJ8o/CNw/A6o+gzVlw+evQwAOWn8s/6qQRvw5pmyCsiVQi7nezzLtVqgo0cPVBuw5l868ft/L5yj0E+ht+M0gC1iYN9cyXUqpy7y/aRURoIBf30IMMpZTyOAc2wvTfQNpmGPVnGPY78POwKR3WwvafZR7spplg/KDzxdD/NhkV1jRidRIauPqQ5PQc/v3TFj5dvocAP8O1A1tx24jWNAsPcXfTTp+rWC5arU4ppZRSvm7VR/D1byGoAVzxBrQe6e4WnVr6DieN+D0pItW8mwSw3cZBYKi7W6c8kAauPiDlcA7/mb2Vj5el4OdnuLp/AneObEOziHoYsAIc2ABTJ0JEHNzwtZ6dU0oppZRvKsyDbx+UOa2thsAVUyAi1t2tOj0F2bB6uqwJe3ADhEZDn+tlndlGuva7KqWBqxfbeySX/8zeyvRlyRgME/u35I6RbWkeWU8DVoBN38Knt4CrEIry4Kqp0HGsu1ullFJKKVW30rdLavC+NTD0fhj1MPgHuLtV1Wct7JwrAeymGbKt4wUyCps4VAcqVJUD13r8LvA9+zLyeOXnrUxbkozFMr5vS+4a1ZYWjepx2oW1MP9F+OFvENsdxr8H710GPz0B7c/zvDkcSimllFK1Zf2Xsj6r8YOJH0GHMe5u0ZkzBpKGy+XIblg6BZa/I2vQNusCAyZBt/EQFObulioPpyOuHmb8awvZfvAosZGhNI8MITYyhNjIUPZl5DJ1aTIul+XKvi25a1Qb4qPq+Ru8MA++ulcq5HW5DC55RT601n4Kn9wkFfO6j3d3K5VSSqnas3iyjLB1Hw8teunok68qKoAf/gqLXoEWveHKtyGqlbtbVXsKc2HNJzIKu38NhDSC3tdBv1u9+/dWFdJU4XooPbuA3k/MondCIyJCA0k9kkdqRi6ZeUX4+xnG9Y7n7rPa0jK6ngesAFn7YNrVsOdXSYEZ/vvSL2uXCyYPh/wsuHsZ+OvyHEoppbzUy/1lGRGAph2hx1Uy+hQZ5952qbpzJBk+uRFSlkr67LlP+k6RSmth90IJYDd8BVhof76MwiaN0BM5PqLWU4WNMS2Bd4HmgAuYbK19yRgTDXwEJAI7gfHW2sPGGAO8BIwFcoAbrLXLq/v63mhDaiYAvzu3A0Palq7NlZ1fRFGxJTLMSwK4Pcth2jVSaW7C+9DpovL3+/nBWY/Ch1fC8ndlLTCllFLKW7U9R74LV06FHx6T6TOtR0CPidDxQghu6O4WqtqQnSbHOQv+BcVFMsra5TJ3t6puGQOtBsslYw8smyIFqTZ9Iydy+t8KXa+A0Ch3t1R5gGqPuBpjYoFYa+1yY0w48CtwKXADkG6tfcYY8xAQZa190BgzFrgHCVwHAC9Zawec7DV8bcT19TnbeWrGBpY/MproBl56pm3tp/D5ndCgGUz8UEqkV8RaeHMMHN4J963U8ulKKaW808v9IaazBC0gacOrPoJVU+HILghsIOth9rgKEodp7Yf6zlrJNlvyOqz7HxQXyNzPC16AJm3d3TrPUJgnf5vFr0HqSsBIHZTEYXJpNQhCIt3dSlWDan3E1VqbCqQ617OMMRuAOOASYKSz2zvAz8CDzvZ3rUTKi4wxjYwxsc7zKGB9aibNI0K8M2h1uWD2UzD3H5AwSIowNWxa+f7GwDl/hbfOl8Wsh9xXd21VSinlnaz1/NTD6NYw6k8w8iHYvUgC2HWfyc+IOOg+QYLYph3c3VJ1OgpzYe3/5JgmdSUENYTe10O/W6BZR3e3zrMEhkDPqyXjYM9y2DoLdsyVv93Cl6VwVWyP8oFscLi7W63qQI1UFTbGJAK9gMVATEkwaq1NNcY0c3aLA5LLPCzF2aaBq2P93kw6t4hwdzNqXv5R+Ow22Pg19LoOLni+anM3Wg2W9Kl5L0CfG/TsmlJKqepb9ibMfV5qJwTWg+XjjJED8laD4PxnZRmRVdNg/ksw73kp4NNjoqRRNmjs7taqyhzeKVV0V7wHuYehSQcY+w85ARHihcd8NckYiO8jl5EPSfCfslSC2J3zYNGrkmZt/KFFTwlik4ZBy4GaXu+lzjhwNcY0BD4FfmutzTSVn8ms6I4T8pSNMZOASQAJCQln2rxa9euuw+QXFjO4zHzU461MPsL8rWncNerE9I//LU+hXbNwusVHkldYzNaDRxndOaY2m1z3Du+SIkwH1sOYZ2DA7ad3tvusR2DyCFjwMpz1l9prp1LKt2WmytJcwRHQeiTE9/Od4ii+YO8KmPmgpGUWHK0fgWtZgaESoHa9ArL2w9pPZAR25h/guz9Bu/Og50Rody4EBLu7tcrlgm0/wdLXYfN3MkLY8QKZr5k4zPNH/T1VYGjpsjoABTmQssQJZOfKaOz8F8EvQE7sJA4tDWR1qR2vcEaBqzEmEAlaP7DW/s/ZvL8kBdiZB3vA2Z4CtCzz8Hhg7/HPaa2dDEwGmeN6Ju2rbf/6cQtHcgr44u6hle7z1aq9TJm3gxHtm9I1rvyI4cOfr8XfGKbdNhCXC4pd1rtGXHctgI+ulYID13wCbc8+/edo0RM6XwoL/wP9J508vVgppU6Xq1hGQ358HIrywBbDnOdkXmHiEAliW4+CZp30YLO+ysuEj2+UoNUbhMfAoLvksm8trJ4Gq6dLMZvQKAlue0yEuD76P1vXcg/Dig+kwFD6dqnnMfz30OdGrRJdG4LCnM/okXK7IFvS63fOk0C2JDvBL1DeD0nDJJhtOUBrp9RTZ1JV2ABTgA3W2ufL3PUlcD3wjPPzizLb7zbGTEOKM2XU9/mtTcOD2bw/66T7FLsk9n5v4S6eHdf92PaCIhc5BcUAXP/mEsb1kZi+c6yXBK6/vgPf/E7W4po4DZq0q/5zjfoLbPhSPnzGPF1zbVRK+bbU1fDVfbB3uQSnF/wTwhrDrvmwbTZs/xm2fC/7NmgmB0dtRskSDfX5ILQgW+baNWgq0zH8a2TWkGeyFr7+LRzZLQHd2k/d3aKa1bwrNH8Szn5M/l9XTYUV78PSN6BxW5kL230CNPLsDLZ6L3W1jK6u/hiKcmWEb9RfoNPFmrlRl4IayCBJyUBJfhbsXgw750gwO/efMOfv4B8kWTWJQ2UEPL5f/cvC8FFn8m01BLgOWGOMWels+zMSsE43xtwM7AaudO6bgVQU3oosh3PjGby2R2gYHEBqRh4HsvJoFl7xP3yRywXAF6v28OexnY4taZOVVwjAbwa14uvVqfz3l20AJNT3NVqLi+D7h2Hxq9DmLBj35pmXMG/aXibpL30DBt4JjVqe+jFKKVWZ/KPw89MyPyosGq6YIkFNyehUxwvkApCRIgHB9p9h+2xYM122N2kvwW7rkTIyWx/m4OcekUqmi16B3HTZ1rC5fL72uhYat3Fv+2rD8nclWD3rEekjbwtcS/gHQLtz5JKXCeu/kPmwPz0pl8RhEsR2vkSL2NSUogL5Oy99HZIXQ0AodL8S+t0qFXCV+wWHl74vQN4buxdJILtjrgSxvzwL/sHQsr9T7GkoxPfVlHsPdSZVhedR8bxVgBNyQp1qwndV9/U80bq9GQD0f+pHHhzTkRuHJBISWL5MfbHL4u9nyCt08fGvydwyrDUAGbkSuPZKaMRlveK47JUFAPj51eO0ntzDko61fbYEmKOfqLkz+SMeklSoOc/Bxf+umedUSvmeTTPhm99DZooUfTvnsZOfXIuMl6Cu17Uyb+3A+tJAdsV7sOQ1KQwS10dGY1uPhLi+njXKcvSABKtL3oCCLJkHOeS3TlrjezInbN7z0Goo9L5ORom8YT7Y/vUyr7X1pZ4UwQAAIABJREFUKBj6gKRv+oKQCOnH3tdJnYnVztI6X9wl//udLpIgtvVIXVqnOjL2wK9vSWZZ9gGpAn3e/8kJIF1r1LOFRED7c+UCcjJv90IZjd0xR05oYiEgxAlkh0t6cYvenvWZ7sO8OD+o9v3+3A5MmLyIAUnRPPvtRj5csos/nd+J87s2p6RIVbHL0iw8mBaNQnl/0S5uGpKEn58hM68IgMjQQDp5Q3pw2hb4cIKkY138snxh1qRGLaHvzVIKffB9utaZUur0ZOyBmX+U6uZNO8FN30HCwNN7Dj8/JzWzKwy+G4rypcLl9p8ltbjk7H1gAzlr33qkXNw1P/bIbljwbxl1LMqHLpdKAFd2NKjThVKYatWHkmL62W0w4w/QbZxUgW/Rq37OkyzIhk9ulBGXyydL3/miqFYw4o8w/A/yv7pqqow6r5kO4bHQ7UqZDxvT2d0t9WzWSmCz9HXYOAOsC9qfJ6Orbc7y3f+v+i60EXQ4Xy4AOekSyJZULZ79JMwGAsNkXmziUCkM1aIX+Ae6tem+yshAqGfq27evXbZsmbubUSXzt6bxxNfr2bgvi/6J0TxyYWeahgdzw1tLyCko5oHR7fntRyt596b+DG/flF82H+T6N5fwye2D6NMqioc/X8u4PvH0SqiHZ+u2/gAf3yRv4gnvS+n+2nD0ILzUQ74srnyrdl5DKeVdXMWSHvvTE+AqghEPwqC7a+fsee4ROdjZ7syPPbRVtjeMKQ1iW4+EiBY1/9plpW2RZcRWfyS3e1wFQ+4/9Qk/a2V+7/L3JAWyKBdiukoA2328pFW7Q0E2ZB+E7DTn58HS2/6BcPZfTxw5/OIuKZJz3WcyEg7yfzDj9/CHbdCg8tUA6tzL/SVwvPLtunm9onzY/K2kEm/5Xt4XsT2cpXXGaRHEsvIy5X205HVI2wSh0XJivu9NEJXo7tap2paT7hR6coo9HVgv2wMbyInPJGcd2die3l0roA4YY3611vY95X4auNacYpflo6XJ/PP7TaTnFBAW6I/LwrPjunNelxgGP/0TvRKieOP6vny1ai/3TF3B9/cPp31MPZ1vYq2kn33/MDTrAhM/rP0CED89KaMat82RL1qllKrM3pVSmGfvCmhzthRfik6qu9c/klxmfuzPkJMm25t0KC301GpIza3lmLpK1ild/4WkuvW5XoL06tQFyMuANZ9IKvHeFVLMpOOFctCeNPLMRpiKCyHnUPkA9PiAtOz1wpyKn8cvEFyFcO8KSdcssXo6/O9WGPZ7OPuR0u2VBa7WysVdo2Z1HbiWlZ0m/bxqKqSulLT3dqPlZEf78323YM2BjTK6umqaLJ/UopesbNDlMq1G68uy00qD2J3z4OBG2R4ULoM2JcWeYntoGv5pqmrgqqcHapC/n+HqAQlc2COW/8zeyqZ9WTx6YWdaN5VFkCf0a8l/f9lGyuEcMp3iTJGh9TTVoCgfvn4AVr4vBzOXvVY3iz0PutsZPXkSrvm49l9PKVX/5GfB7P+Dxf+FsCZSJK7L5XWf8tqoZelcQ5cLDqwrDWKXv1s6Pza+b2mhp/i+p5+CtmuhVMvcOkvWoR32AAy448xGzkIiod/Nctm3VgLY1R/Buv9BZAL0ugZ6XiO/o7US6GanyZy/ygLQkuu5hyt+Tb9AqXTcoIn8bNyu9PqxS5PSn+u/hM8myeuXOLQNvr4fEgbByD+d/He0VoL82U9JMHLT974XqDVoAgNvl8uBDRKorZ4uI7LBkdD1MhmJbTmgfqaMV1X+UTi8Q/4Gy9+VwMQ/GLpeLunA8X3c3ULlCRo0kSkXXS6V20cPlAayO+aWVqEPjoBWg0uLPTXvpoFsDdER1zqUcjiH4c/N5t6z2xEU4Mdz325iw+NjCA2qZ//MRw/K+qzJiyTtbsRDdXumet4L8MNjcOO3tZeWrJSqnzZ+I3M0M/dIOt/Zf5V5TJ6mKB+Sl5RWK967QubNBTWUUdiSQk9NO1YcMFgLW3+UgHX3AlnGZ+Cd0O+W2vt9C/NkrdDl70m7QdKgcw7JyGdFQqMrCDqPv+7cDok8veBo1UcSuN6zXCoiF+bBlHNkPvPt805csqhkxPX3W2HfKvjxCRlljEqEwzthyH0w+vFq/GHOkDtHXCviKpb5nKumwoavZMQ7KkkC2O7j6zZroaZYKydN0ndIgHr8z+yDpftGJkDfG6H3bzwrpVx5vqx95QPZdFkxhJBI+VxPHCbpxc266Lzo4+iIqweKjwqjZXQY2w5mE9colEB/Q0hgPfvHTV0N066Ws+fj3pKzkXWt/22yjMWPf4MbZ3r3WWClVNVkpEgF2Y1fy0HBlW9LVUhPFRAsBzBJwySdNfewHPAcWz/2O9mvYfPy82MbxsDGryRgTV0FEXEw5lk5yK7tSsCBIbJsUNcrpFrtqqmQkXxcAFrmEhZduwVMSj77S07Az3oE9q2BiR+dfJ3dD8fL2r2RCXDpq7LO6df3SyGrDhdAwoDaa3N94OcvJ07ajJLshQ1fSV///DT8/H+QMFhSibtc6lnLQBUXyv9juaB0Z+nPwuwyOxupGB6VKIV5opLkenRrHR1T1RfeXArbdRsntzP3llYs3jkPNs2Q7aFR5QPZpp00kK0iDVzrWExECPsz82gYHEBkaOCx6sP1wvovpeJkaBTcNFPmfLhDUJhUSJzxeykM1W509Z7H5YJ3LpJ5Z5EtJeUtsqXM0y253bC5fpgo5cmKi6Ta+OynZKTonL/BoLvqX8XH0ChZpqTTRXL7yO7StOKts2D1tNL9cg9DdBup4N59gnuWaYhqBSMfqvvXLafM9+eGr+T/YNDd0GFMxbuX/E9kpMD5f5c5wCVrNZ73lIx8f367jNYGNajdptcXweGyzEvPq2XO9prpsHIqfHWvVOnuMFZGYtucVTfFaUpSekuC0bKjpkeSwRaX7usf7ASjSVIJNjpJAtToJPme13U6VW2LaCFZCt3Hy+2MFCeQnStryW78WraHNZZANmm4pBZXlmmjNHCtazERIaxJOULT8GAiQurJgZW1UhBp9lMQ3w8mfADhMe5tU+/r5ez4j49L0ZXqBJeHd8CueTKJ/uh+2LPsxLlXfoFy5v74gLbkZ0S8ru1Vk4oL5czkhq/kTGWJgCBZ3D0wRMrSB4TInLTA0NLtAc7tctdDT9zXP1C/ELzFnuVSfCl1FbQdDRf8w3sqfTZKkFHU3r+Rk2z710oQu2+1BAudL9FRoZL38ZFdUkW4RW9JDa9Ml8skFbvD+ScGpsHhcMkr8M6F8MPfYOxztdfu+qpRSxj2O1lSae9ymQ+75hOZ99ygmRyc97hKRiyr63RSekFO5EQlyTrKXceVD071xLPyNJHx8h7pcZXcPryrfNXiDV/K9gZNnUJPQ2Ut2Sbt9LjFoYFrHYsJD2ZWZh4to8OIqA+FmQpy4PM7YP3n0P0quOglzyheERAEo/4sI8BvjZEDkXbnnd56iftWy8+L/gUtesr1/Cw5I3YkGTJ2Oz+T5ee2n2T+AmXnhRtJDTk+oI1MKL1dF0Wr6rPCPBnpWP+lpNHkHZGDy8ZtkBEVC0UFsjRHYR4U5sr14oLqvZ7xKx/8lgtsncD4WPBbNlAOqeBxYacOlL31wCkjBdZ9JsWFgsPLXCLK3w5qWPN/g7xMOZG2ZLJ8wV/5NnS+1Hu/2P38ZO3VsuuvqlJf3ScBz7g3T34iMSSyNIWvIknDpKjV4leh4wXQekTNt7WsvEzYvQhy02v3dWqaMRIoxvWBc5+SgjSrpsLi12Dhy7KEUo+rZI3Y8OYnPr6ylN6StN7KUnrbjykfmEYleeb8daWqKqqVXHpdI59hh3eWnyO77jPZr2FMacXixGFyfOSt33enoIFrHWseGUJeoYuUw7m0jK7l+UhnKiMFpk6UOUOjH4fB93rWG6XblVKAZd1nUqzph8ckUGw3WoLYpOEnn/OVuhr8AiTYLREcLrfLbiurKF9es2xAm5EsaX17fpXg6/giJaFRlY/YRibIPDBP+rvWhYJsSfNe/yVs/g4KsuSgssNY6HSxpJ2d6gSJq9gJYvPK/MyR4LYoV7ZVuL1M8Fvo3Ff2OXLTnX2Pe5x1Ve939Q+qZGS4oqD5uFHkUwbKxwXY/kG1/7+UtgXmvSipq66iqj0mKFyWfCkX4FYS6AaHSzXTivY1fjIaP/NByEqVQkRnP+JZ8+xU3ctIlpMXNVE06OxHJRD74i64Y0HNLVUEktGza6Gslbtznpw8tS7J7InvV3OvU5cCgqDThXLJSYe1n8pI7PcPw6xH5bO81WA5nqhKSm/iME3pVb7JGPmfj06SSvTWQvr20qV3dsyV9xdAeGyZQHaozM32keNIrSpcx75ctZd7p67Az8DYbrG8fHVvdzepYslLpQhTYS6MmwLtz3N3i04uc68cbGz+XtLpCrPlQD9xmLS93egTUwjfv0JGUO+YX3PtcBVL2nHZgLZcgJt83NlkZCHryPjKR2zDm3tHSmBepvTR+s9hyw8SDIY1luWUOl8s6TCemnZtrYwSlA1yywW/Za6fMmgueY4KguaSfYvzq9lQIwFtaLT8TXtdJ9VKa8LeFbJG6Iav5L3V+zcw6E4IaSSZCvlZkJ953M+sCu7Lkv+FsvcVZFWtDYFh8jeK6SrZH/GnLECovNm6z+DjG6R69IUv1NzzJi+BN8+T5X4uebn6z5Od5gSp8+Xn/nWAlUAtvh8kDpF5bfH9ar+wVl07uFlObq36CDJTSlN6y42YJsr18FjvzUxRqqZYK8t97ZzjzJGdJ8uPgRTpKwlik4bVyykzVa0qrIFrHVu8/RATJi8C4JoBCTx12RnMBaktJYUXIuJg4jRo1tHdLTo9RflykLD5e6nMmb5dtjfpAO3PldHYhIHwfGdoew5c9mrdtc1aOet+QkBb5vbxaWN+gTLBv6IR2/AWMt84OMIzz7blpMt6gOu/kFTr4gKZd9TpIgmsEgbXTUGP+sblOkkgfHzQfHzwmyvpRpu/k9H/uD4SwHa94vRHj6yVL8d5z0v/BUdC/1thwO1ntkZoRb9vwdEKAt0KAuCoROhzQ/0rvqRqXk46LH9H/h8DQ2v2uX94TJZeu3p61U/cZu2XugklgerBjbI9IFQqXCcOlUA1ro9nTLmpCyXv7ZocuVZKyfdz2ubStOKd86TYKMjUvrHP1atsJA1cPdSuQ9mM+PvPANwxsg0PjqnjoNBa+RLJOeRc0sv/PLRVRsQSh8H4dyWNtb5L2yojfVu+kwMKV6GkLhZkwXlPy6iRJ8k/KmlVlY3YZqVSfp4tcmDUsJmMzjZsJsFhwxgJahs2L70vrEntB4qHtslc1U3fwu6FkhIW2VJSgDtfDPH99ex6XchOg9UfyZqbBzfI/0iXSyWIbTX45Cc6XC454TDveUhZKoVXBt0JfW/WA1DlG4ryYfJI+W68c2HF34UZe0rTfnfNl+9PkHndLQc4I6pDpQK/p2aTKKW8g7Vysmz1RzD/XzLgcdl/5YRZPaCBq4fKLSim06PfAvDgmI7cMbJN9Z/MWhltORaEVhCIHr89N73yojbGX9J5uo+XOa3eOKKRnwXbf5Egdu9KWYu2SVt3t+r0FBXIPNuMZEl1Prrf+XkAju6Ts/5H90uRo+MZPwlew2MksC0b1DaMKR/sVjV1zVUswc2mGbBpppwBBEnn7HC+XFr09swRYV9grVTfXfEurPlUTthEt4Fe18oyFhGxpfsWF8kcmnkvSLDbKAGG3CcpkzU9oqWUp0tdBa+fJdWIr3hDKoAeS/2dJ5kNIBkvCYNKA9XYHppJopRyn+Sl8NkkmVc++B4462GPnyuugasH6/7Yd2TmFfF/l3Xj6gEJFe/kKpYS/2lb5HJ4Z8VBaFFexY83fhKEhjUuc4mWuW/ltjnbw6IlDVBHwrxHYZ4EsCUB7dH9TlDrBLnHgt395QtllAgKLxPgxhw3mttMRu43fycjczmHJKU5cagUWOowRoIe5VkKsiVte8X7cgBu/GX+d6/r5P9i/r/kc6dZZxh6P3S5XA/AlW/75TmpYB0e62S7IN+tCYNL56g27+YddQiUUt6jIBu++wv8+pYMJFw+GWK6uLtVlapq4KpHJGcq93Bp1c8qah4ZQmbeUSJCj/vzFxfC949IcaH0beVHRkMaQYMmEmg2agktepQGnicEo9Gyvwahvi0wpLTU+sm4XBJ4Hj0+qN1fGuymroQtByRYLSukkcz/aj8G2p5dr+ZT+KSgBtDzarkc2gYr3pM57ZslC4T4fjDmGelP/fxQSk7gHNwo388lc1Sbddb3h1LKswU1gItelKy3L+6SlTQ8OHCtqjofcTXGjAFeAvyBN6y1z1S2r8ePuG74Cj66Vq4HhEgAGRrlXBpJcaNWg+VMR5k0yd99vIpluw7zz3Fd6Ru8R+bH7FkmlXGzD0K7c2U5libt5dK4rXfMNVX1X/7R0oDW+EFcXx2Rq++Ki+RkWVADKVqmKd1KKaWU98jL8Nwing6PTBU2xvgDm4HRQAqwFJhorV1f0f4eH7g+kyD/DIPuloP43HTIPSKjsDnpknJXmHPq5wlsULpEyugnYMi9tdtupZRSSimllPIAnpoq3B/Yaq3dDmCMmQZcAlQYuHq8i1+GtE0w9HcVpw0VF0pRlJICDo5v1uxl1voD/PmCTjRr1UXmx7xxFrQdrUGrUkoppZRSSh2nrgPXOCC5zO0UYEDZHYwxk4BJAAkJHl7cpfPFJ7/fPxASBsiljCK7h+83r+HJvudAsNMFt8+rpUYqpZRSSimlVP1W14FrRcnV5XKVrbWTgckgqcJ10ai6dlH3Fozs0IyGwTo3UCmllFJKKaVOpa7L4qUALcvcjgf21nEb3M7PzxAZ6oVrpCqllFJKKaVULajrwHUp0M4Yk2SMCQKuAr6s4zYopZRSSimllKpH6jRX1VpbZIy5G/gOWQ7nTWvturpsg1JKKaWUUkqp+qXOJ1laa2cAM+r6dZVSSimllFJK1U91nSqslFJKKaWUUkqdFg1clVJKKaWUUkp5NA1clVJKKaWUUkp5NGOt5y6Vaow5COxydztqURMgzd2NULVC+9Y3aD/7Du1r36D97Du0r32L9rdna2WtbXqqnTw6cPV2xphl1tq+7m6Hqnnat75B+9l3aF/7Bu1n36F97Vu0v72DpgorpZRSSimllPJoGrgqpZRSSimllPJoGri612R3N0DVGu1b36D97Du0r32D9rPv0L72LdrfXkDnuCqllFJKKaWU8mg64qqUUkoppZRSyqNp4FrLjDHG3W1QtUP7Vinvou9p36D97Du0r32L9rf308C1llnNxfZmDQGMMf7uboiqPcaY/saYCHe3Q9WJ0JIregDk1Y59Zms/ez3tX9+i/e3lNHCtJcaYC4wxHxpj/mqMaevu9qiaYUQzY8zPwBsA1tpi97ZK1QZjzAhjzHpgEqCBqxdzPq9/AP5ljLkG9KSjN3L6eRbwvDFmOGg/eytjzFhjzBfA340xI93dHlW7tL99hwauNcwYE2KM+S/wKDAVaA3cboxJcm/LVE1wDnLynEt3Y8z5AMYYfS95EWNMCHAf8Li19hZrbYqzXc/mehljzLnAY8BLwBLgLGNMC7c2StU4Y0wi8BTwb2ADMMkYc4tzn35+ewljTKAx5p/Ie/q/QAYw0RgzwK0NUzXOGUgI0v72LfphXcOstXnIl+I4a+1XwNNAbyTQUfWcc4ATD6wEHkJOUGCtdbmzXarGxQGHrLXTjDGhxpjLjTFNcVIMNYD1KiOA75zP62VAoLV2r5vbpGpeG2CetfZL4C0kY+YeY0yUtdal72nvYK0tBDYBE621M5F+bgRoZpSXsaIA2Axcrf3tGzRwrQHGmHuNMc8YY650Nk0GUowxwdbajcgbKNZ9LVTVVaZvr4BjAepeoD0wH0g1xtxujGnnznaqM1Omn8c5mwqBUcaYocDnwG+AF5GzuqoeK9PX451N3wC/NcY8C8wAWhljXjfGTHL214CmHjLGjDtu1CUFuML5Xs6z1v4MLAAecUsDVY2poK/fBnYYY4Kck1DhQGO3NE7VOOcz/HVjzK3OpteB7drfvkED1zPgpCncD0xAztQ/boy5AWjonAnKN8a0BMKArW5sqjpNFfTtk8aYG4wx0UBbYJW1Ng058Pkn8LzzuAB3tVmdvgr6+QljzC3W2t3AF8AU4O/W2kuBJ4GLjTGddV5c/VNBX//NSRVdAvQEmiKZMiOAz4DLjDGJ2tf1i1OD4BfgX8CfStKArbWbgFnAs85+BkktTDDGxGg/1z+V9TVQZK11WWsLjDFRQDCwym0NVTXGOca+GvgUuNYY8yegtfa379DA9Qw4X3SjgIettZ8A9wM9gDFldusObLLWZhpjWhhjerqhqeo0VdK3PYHRwD5guDFmBnAjMvK63XmopqfUI5X0czdjzARkhDUJCHD23YCcqAh0U3PVGaikr7sCE6y1W5G+TnV2XwPsBzSYqWestQeQk05jkP68rczdjwMXGmO6lKlXkAUcrfOGqjN2kr4u+75tBWRYa/cZY+KNMWfVcTNVzTobeNZa+y3wOyAECWRLJKL97dU0cK2i49PFypzZWwYMA3DeSJuBLsaYLs79TYA8Y8w9wHdAy7ppsaqq0+jbTciJiJ5AMrDUWtsFuAoYaYyJ07P2nus0+nkj0AfIBB4GHjDGdDHGPIIEOil11mhVLaf5nu5ppPL7j8Bzzn43IvOcD9dJg1W1nKSf/w2sB74HLjDGxAI4JyimAK840wCuBZoBWqPAw51OX1trbZnspzjA3zkG+wZoXldtVjWnTH+vAC4EsNYuAxYCLYwxw5z7tb+9nAauVRda9kaZYjxbgXBjTDfn9i9AZJn9LwVuR9JLxzgFQJRnqWrfzkGWRTkI3G6t/auzfzowxFq7p47aq6rndN/Dra21zwHvA3ch7+ErrbWH6qi9qvpOp68bIMU8XgECjCx11QW4zlqbWTfNVdVUYT9bawuttUVIhsRGpEJ4yT5PI8HrzUAH4GZrbW6dtVhVV1X7+l5ne5Gz62jgIuTze6y19sM6a7GqNmNMuUKIZT7D5wN+xlnOCliLjLaXBKja315OA9dTMMYMNMZ8CvzHGHNumTdTydm8JUh66GhjTIC1dj1yxqe/c/97wNnW2vs0sPEs1ejbdUjaUS9rbZ4xxr/Mh6qmmnmoar6HY4FBANbad4H7rLXXW2tTK3gJ5SGq2dctgf7OCaiJwHhr7QRr7T53/A7q1E7Sz+a4kbk04EugvZM22MxIFeF3gdusteO1nz1bNfq6g9PXMc72acC5egxWPxhjBhljXgfuN8ZElGSxlfkM3wKsAyYYY/ydpeqaI1XDQea+jtb+9l4auJ6EkUWMXwH+h6SUXQtEGWP8Ss7mOalHS5GzOw85D83HmfNorf2ftXZ2HTddncIZ9u1O5/5iTQ32bDXxHnb2KazDZqtqOIO+zqP08zrHmTenPNQp+tk6aaLBRqoHF1tr5yAHumuREfYmAFaW0VAe7Az7+mdjTDtr7SJr7Q9u+yVUlTmjqC8DPwEtkIJb50K5EfQsYC4QBPzDGBMIRAEHnP3mWGt/rOu2q7qjgevJdUfmMX6ApAsGAkdLUhaMMU8aY6YAvyJV7fobY34F0pH5Fspzad/6Bu1n36F97RtO1c+PI2s5xjq3b0eK9rwGdLfWbnFLq1V1aF/7lr7AfGvtVKSKfwwwsWT03BjzJPAhkAE8igSsc53b77ilxarO6dIdZRhjBgLp1trNzqY5wGPGmL3AncAGpKjDd0hxntbAo9banc7jrwYCrLVH6rzx6qS0b32D9rPv0L72DdXo57aU6WdkXvNgZ7RdeTDta99SQX9vAnoYY1pYa/caY44iGRKXOLUHWgMPWWu3OY+/CWhgrc1yQ/OVm+iIK2CMaWSM+QZZ4228MaYhgLV2JVJmvRVwp7V2JDIx/Bwg21p7tbV2qyldJ+6oHgR5Fu1b36D97Du0r31DDfSzv7P/DxrIeDbta99SWX8j81czgbedec0tkSrCEdbazU5/byvzGe7SoNX3aOAqGiBL1dzjXC8pq421dgmyMP0uZ9NPSAXKwyAlum1ptTPlebRvfYP2s+/QvvYNZ9rPuqZ2/aF97VuO7+/hAM7I6++Ap4GPrbWXIfOVR5U8UD/Dlc8GrsaY3xhjRjhVy/YAk4HpSKGOAcaYFs5+wUiZ9Tudh54NRDv7oW8gz6N96xu0n32H9rVv0H72HdrXvuUU/d2/pL+ttQXW2tnW2mnOQ/sAM0ueR/tbGetDRVGNMQYpm/0hsuD4NuRsz33W2jRnnyHAeGCZtfY9Z1sX4K/OYwuBu621G+r+N1CV0b71DdrPvkP72jdoP/sO7Wvfcpr9vdRa+36Zxw4FXkKWObqtzDxm5eN8ZsTVyHpPFggH9lhrz0bO4KUjZ34AsNbOR5Y76eDk4YdaWb/zeuAGa+3Z+oHpWbRvfYP2s+/QvvYN2s++Q/vat1SjvzsaYyKNMQ2cu7YDj1hrz9OgVZXl9SOuRhYtfhzwB2YAEcA4a+31zv0G2AtcZa39xdnWECnFPQRIAHpbXcjY42jf+gbtZ9+hfe0btJ99h/a1bznD/h6MFOLqY61NcUPzVT3g1SOuxpgRyJp9UUiZ9CeQNJNRxpj+AM4ZoceBx8o89ALkzNBKoJt+YHoe7VvfoP3sO7SvfYP2s+/QvvYtNdDfq5D+1qBVVcrb13F1Af8oM0+iF5CELFz8KtDHSFntz5A3VqKTkpAHnGOtneOeZqsq0L71DdrPvkP72jdoP/sO7Wvfov2tap1Xj7giZ36mG2eNL2T9rwRr7duAvzHmHisVyuKB4pI8emvtF/oG8njat75B+9l3aF/7Bu1n36F97Vu0v1Wt8+rA1VqbY63Nt6VrfI0GDjrXbwQ6GWO+BqYCy+FY/r3ycNq3vkH72XdoX/sG7WffoX3tW7S/VV3w9lRhQKqbARaIAb78PyXGAAAD+ElEQVR0NmcBfwa6AjtK5lBYb69W5WW0b32D9rPv0L72DdrPvkP72rdof6va5NUjrmW4gEBkPajuzhmfRwCXtXaeTvyv17RvfYP2s+/QvvYN2s++Q/vat2h/q1rj9cvhlDDGDAQWOJe3rLVT3NwkVUO0b32D9rPv0L72DdrPvkP72rdof6va4kuBazxwHfC8tTbf3e1RNUf71jdoP/sO7WvfoP3sO7SvfYv2t6otPhO4KqWUUkoppZSqn3xljqtSSimllFJKqXpKA1ellFJKKaWUUh5NA1ellFJKKaWUUh5NA1ellFJKKaWUUh5NA1ellFJKKaWUUh5NA1ellFKqmowxzY0x04wx24wx640xM4wx7WvgeX9rjAmr4r5NjTGFxpjbjtv+5zNth1JKKeUpdDkcpZRSqhqMMQZYALxjrf2vs60nEG6tnevc9rfWFlfjuXcCfa21aVXY905gIlBsrR1ZZvtRa23D031tpZRSyhPpiKtSSilVPaOAwpKgFcBauxLwN8bMNsZ8CKwBMMZca4xZYoxZaYx5zRjj72x/1RizzBizzhjzN2fbvUALYLYxZraz7VxjzEJjzHJjzMfGmLIB6UTgd0C8MSbO2f8ZINR5vQ9q/S+hlFJK1TINXJVSSqnq6Qr8Wsl9/YG/WGs7G2M6AROAIdbankAxcI2z31+stX2B7sAIY0x3a+2/gL3AKGvtKGNME+Bh4BxrbW9gGfAAgDGmJdDcWrsEmO68Dtbah4Bca21Pa23JaymllFL1VoC7G6CUUkp5oSXW2h3O9bOBPsBSyS4mFDjg3DfeGDMJ+T6OBToDq497roHO9vnO44OAhc59VyEBK8A0YArwfE3/MkoppZS7aeCqlFJKVc86YFwl92WXuW6QebB/KruDMSYJ+D3Qz1p72BjzNhBSwXMZYJa1dmIF900EYowxJaOqLYwx7ay1W07j91BKKaU8nqYKK6WUUtXzExBsjLm1ZIMxph8w4rj9fgTGGWOaOftEG2NaARFIgJthjIkBzi/zmCwg3Lm+CBhijGnrPD7MGNPeGNMBaGCtjbPWJlprE4GnkVFYgEJjTGAN/r5KKaWU22jgqpRSSlWDlbL8lwGjneVw1gGPIfNTy+63Hpmj+r0xZjUwC4i11q4CViAjt28C88s8bDIw0xgz21p7ELgBmOo8fhHQERlt/ey4Zn3qbC95jtVanEkppZQ30OVwlFJKKaWUUkp5NB1xVUoppZRSSinl0TRwVUoppZRSSinl0TRwVUoppZRSSinl0TRwVUoppZRSSinl0TRwVUoppZRSSinl0TRwVUoppZRSSinl0TRwVUoppZRSSinl0TRwVUoppZRSSinl0f4f9S10PF9e+uMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Lets view a plot with the times and numbers os retwitts and likes\n",
    "fav = pd.Series(data=dataJoao['Likes'].values, index=dataJoao['CreateAt'])\n",
    "ret = pd.Series(data=dataJoao['RTs'].values, index=dataJoao['CreateAt'])\n",
    "\n",
    "#Ploting\n",
    "fav.plot(figsize=(16,4), label=\"Likes\", legend=True)\n",
    "ret.plot(figsize=(16,4), label=\"Retweets\", legend=True);\n",
    "\n",
    "fig = plt.gcf()\n",
    "fig.savefig('img/likes_vs_retweets.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Device's used for tweeting:\n",
      "* Instagram\n",
      "* Twitter for Android\n",
      "* Twitter Web Client\n",
      "* Twitter Web App\n"
     ]
    }
   ],
   "source": [
    "# Now lets see the device used for twitting\n",
    "devices = []\n",
    "for device in dataJoao['Source']:\n",
    "    if device not in devices:\n",
    "        devices.append(device)\n",
    "\n",
    "# Printing in a loop:\n",
    "print(\"Device's used for tweeting:\")\n",
    "for device in devices:\n",
    "    print(\"* {}\".format(device))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Mapping\n",
    "percent = np.zeros(len(devices))\n",
    "\n",
    "for device in dataJoao['Source']:\n",
    "    for index in range(len(devices)):\n",
    "        if device == devices[index]:\n",
    "            percent[index] += 1\n",
    "            pass\n",
    "\n",
    "percent /= 100\n",
    "\n",
    "# Pie chart:\n",
    "pie_chart = pd.Series(percent, index=devices, name='devices')\n",
    "pie_chart.plot.pie(fontsize=11, autopct='%.2f', figsize=(6, 6));\n",
    "fig = plt.gcf()\n",
    "fig.savefig('img/devices.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Expoting the data to a csv file\n",
    "dataJoao.to_csv('output/joao_lorenco_tweets_data.csv')"
   ]
  },
  {
   "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": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}