src/twitter_trend.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Twitter Trend in Canada\n",
    "From the Analysis performed in the [EDA](https://github.com/vcuspinera/Canada_response_covid/blob/master/src/eda.ipynb), we detect that tweets increase after March 10th and start decreasing after March 19th, 2020.\n",
    "\n",
    "From this reason we download the Twitter Trend in Canada from March 10th to March 19th, at 10:00 and 18:00 hours of each day, from the [GetDayTrends](https://getdaytrends.com/canada/) webpage. In this Jupyter notebook we share the results of this brief analysis.\n",
    "\n",
    "## Load libraries and open dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RendererRegistry.enable('mimetype')"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# General libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import time\n",
    "\n",
    "# To plot\n",
    "import altair as alt\n",
    "alt.renderers.enable('mimetype')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "START = time.time()\n",
    "\n",
    "# Parameters\n",
    "my_folder = \"../tweets/\"\n",
    "\n",
    "# Open the file\n",
    "df = pd.read_csv(my_folder + 'twitter_trend.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>hr</th>\n",
       "      <th>rank</th>\n",
       "      <th>twitter_trend</th>\n",
       "      <th>hashtag</th>\n",
       "      <th>count (thousands)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>#ThankYouNamjoon</td>\n",
       "      <td>yes</td>\n",
       "      <td>209.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>#TuesdayThoughts</td>\n",
       "      <td>yes</td>\n",
       "      <td>18.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>#LateLateNiall</td>\n",
       "      <td>yes</td>\n",
       "      <td>52.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>#CoreyFeldman</td>\n",
       "      <td>yes</td>\n",
       "      <td>Under 10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>#MYTRUTHDOC</td>\n",
       "      <td>yes</td>\n",
       "      <td>Under 10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>italy</td>\n",
       "      <td>no</td>\n",
       "      <td>710.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      day  hr  rank     twitter_trend hashtag count (thousands)\n",
       "0  10-Mar  10     1  #ThankYouNamjoon     yes             209.7\n",
       "1  10-Mar  10     2  #TuesdayThoughts     yes              18.4\n",
       "2  10-Mar  10     3    #LateLateNiall     yes              52.4\n",
       "3  10-Mar  10     4     #CoreyFeldman     yes          Under 10\n",
       "4  10-Mar  10     5       #MYTRUTHDOC     yes          Under 10\n",
       "5  10-Mar  10     6             italy      no             710.9"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(6)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>day</th>\n",
       "      <th>hr</th>\n",
       "      <th>rank</th>\n",
       "      <th>twitter_trend</th>\n",
       "      <th>hashtag</th>\n",
       "      <th>count (thousands)</th>\n",
       "      <th>tweets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>#ThankYouNamjoon</td>\n",
       "      <td>yes</td>\n",
       "      <td>209.7</td>\n",
       "      <td>209.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>#TuesdayThoughts</td>\n",
       "      <td>yes</td>\n",
       "      <td>18.4</td>\n",
       "      <td>18.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>#LateLateNiall</td>\n",
       "      <td>yes</td>\n",
       "      <td>52.4</td>\n",
       "      <td>52.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>#CoreyFeldman</td>\n",
       "      <td>yes</td>\n",
       "      <td>Under 10</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>#MYTRUTHDOC</td>\n",
       "      <td>yes</td>\n",
       "      <td>Under 10</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>10-Mar</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>italy</td>\n",
       "      <td>no</td>\n",
       "      <td>710.9</td>\n",
       "      <td>710.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      day  hr  rank     twitter_trend hashtag count (thousands)  tweets\n",
       "0  10-Mar  10     1  #ThankYouNamjoon     yes             209.7   209.7\n",
       "1  10-Mar  10     2  #TuesdayThoughts     yes              18.4    18.4\n",
       "2  10-Mar  10     3    #LateLateNiall     yes              52.4    52.4\n",
       "3  10-Mar  10     4     #CoreyFeldman     yes          Under 10    10.0\n",
       "4  10-Mar  10     5       #MYTRUTHDOC     yes          Under 10    10.0\n",
       "5  10-Mar  10     6             italy      no             710.9   710.9"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Change \"Under 10\" to 10, in \"count (thousands)\" variable.\n",
    "df['tweets'] = [10 if i==\"Under 10\" else float(i) for i in df['count (thousands)']]\n",
    "df.head(6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Twitter trend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>twitter_trend</th>\n",
       "      <th>hashtag</th>\n",
       "      <th>count</th>\n",
       "      <th>sum</th>\n",
       "      <th>mean</th>\n",
       "      <th>min</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>no</td>\n",
       "      <td>3</td>\n",
       "      <td>13400.0</td>\n",
       "      <td>4466.666667</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>5600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>China</td>\n",
       "      <td>no</td>\n",
       "      <td>6</td>\n",
       "      <td>11600.0</td>\n",
       "      <td>1933.333333</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>3400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>#COVID19</td>\n",
       "      <td>yes</td>\n",
       "      <td>3</td>\n",
       "      <td>7200.0</td>\n",
       "      <td>2400.000000</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>3200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>italy</td>\n",
       "      <td>no</td>\n",
       "      <td>7</td>\n",
       "      <td>5583.4</td>\n",
       "      <td>797.628571</td>\n",
       "      <td>524.4</td>\n",
       "      <td>1100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Biden</td>\n",
       "      <td>no</td>\n",
       "      <td>2</td>\n",
       "      <td>4600.0</td>\n",
       "      <td>2300.000000</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>2800.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  twitter_trend hashtag  count      sum         mean     min     max\n",
       "0      COVID-19      no      3  13400.0  4466.666667  2400.0  5600.0\n",
       "1         China      no      6  11600.0  1933.333333  1200.0  3400.0\n",
       "2      #COVID19     yes      3   7200.0  2400.000000  1000.0  3200.0\n",
       "3         italy      no      7   5583.4   797.628571   524.4  1100.0\n",
       "4         Biden      no      2   4600.0  2300.000000  1800.0  2800.0"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Stats by twitter_trend\n",
    "df_2 = df.groupby(['twitter_trend', 'hashtag'])['tweets'].agg(['count', 'sum', 'mean', 'min', 'max']).reset_index()\n",
    "df_2.sort_values(by=['sum', 'count'], ascending=False, inplace=True)\n",
    "df_2.reset_index(drop=True, inplace=True)\n",
    "my_sort = list(df_2.twitter_trend)\n",
    "df_2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
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          "count": 3,
          "hashtag": "no",
          "max": 5600,
          "mean": 4466.666666666667,
          "min": 2400,
          "sum": 13400,
          "twitter_trend": "COVID-19"
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         {
          "count": 6,
          "hashtag": "no",
          "max": 3400,
          "mean": 1933.3333333333333,
          "min": 1200,
          "sum": 11600,
          "twitter_trend": "China"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 3200,
          "mean": 2400,
          "min": 1000,
          "sum": 7200,
          "twitter_trend": "#COVID19"
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          "hashtag": "yes",
          "max": 1700,
          "mean": 1650,
          "min": 1600,
          "sum": 3300,
          "twitter_trend": "#coronavirus"
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          "count": 2,
          "hashtag": "no",
          "max": 1700,
          "mean": 1600,
          "min": 1500,
          "sum": 3200,
          "twitter_trend": "Stay"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 847.1,
          "mean": 671.3333333333334,
          "min": 567.2,
          "sum": 2014,
          "twitter_trend": "#COVID2019"
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         {
          "count": 2,
          "hashtag": "no",
          "max": 1000,
          "mean": 1000,
          "min": 1000,
          "sum": 2000,
          "twitter_trend": "Close"
         },
         {
          "count": 5,
          "hashtag": "yes",
          "max": 663.2,
          "mean": 380.94,
          "min": 134.9,
          "sum": 1904.7,
          "twitter_trend": "#TheBachelor"
         },
         {
          "count": 2,
          "hashtag": "no",
          "max": 835.2,
          "mean": 791.55,
          "min": 747.9,
          "sum": 1583.1,
          "twitter_trend": "Tom Hanks"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 719.2,
          "mean": 514.6333333333333,
          "min": 233,
          "sum": 1543.9,
          "twitter_trend": "#SweetNightOST"
         },
         {
          "count": 2,
          "hashtag": "no",
          "max": 837.2,
          "mean": 753.2,
          "min": 669.2,
          "sum": 1506.4,
          "twitter_trend": "amazon"
         },
         {
          "count": 2,
          "hashtag": "no",
          "max": 788.6,
          "mean": 752.6,
          "min": 716.6,
          "sum": 1505.2,
          "twitter_trend": "Europe"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 1400,
          "mean": 1400,
          "min": 1400,
          "sum": 1400,
          "twitter_trend": "#BoyWithLuv"
         },
         {
          "count": 2,
          "hashtag": "no",
          "max": 896.2,
          "mean": 687.8,
          "min": 479.4,
          "sum": 1375.6,
          "twitter_trend": "Chinese Virus"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 1300,
          "mean": 1300,
          "min": 1300,
          "sum": 1300,
          "twitter_trend": "#NCT127"
         },
         {
          "count": 2,
          "hashtag": "no",
          "max": 759.8,
          "mean": 630.5999999999999,
          "min": 501.4,
          "sum": 1261.1999999999998,
          "twitter_trend": "The NBA"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 1200,
          "mean": 1200,
          "min": 1200,
          "sum": 1200,
          "twitter_trend": "#BhulaDungaFirstLook"
         },
         {
          "count": 2,
          "hashtag": "no",
          "max": 584.4,
          "mean": 559.4,
          "min": 534.4,
          "sum": 1118.8,
          "twitter_trend": "Rudy Gobert"
         },
         {
          "count": 1,
          "hashtag": "no",
          "max": 986.6,
          "mean": 986.6,
          "min": 986.6,
          "sum": 986.6,
          "twitter_trend": "Schools"
         },
         {
          "count": 2,
          "hashtag": "yes",
          "max": 790.1,
          "mean": 472,
          "min": 153.9,
          "sum": 944,
          "twitter_trend": "#DemDebate"
         },
         {
          "count": 2,
          "hashtag": "no",
          "max": 577.4,
          "mean": 448.5,
          "min": 319.6,
          "sum": 897,
          "twitter_trend": "Tom Brady"
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         {
          "count": 1,
          "hashtag": "no",
          "max": 864.6,
          "mean": 864.6,
          "min": 864.6,
          "sum": 864.6,
          "twitter_trend": "Liverpool"
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         {
          "count": 2,
          "hashtag": "yes",
          "max": 382.6,
          "mean": 375.35,
          "min": 368.1,
          "sum": 750.7,
          "twitter_trend": "#NCT127_KickIt"
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         {
          "count": 1,
          "hashtag": "yes",
          "max": 743.7,
          "mean": 743.7,
          "min": 743.7,
          "sum": 743.7,
          "twitter_trend": "#COVIDー19"
         },
         {
          "count": 2,
          "hashtag": "no",
          "max": 369.7,
          "mean": 333.2,
          "min": 296.7,
          "sum": 666.4,
          "twitter_trend": "Vanessa Hudgens"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 321.6,
          "mean": 221.33333333333334,
          "min": 132.7,
          "sum": 664,
          "twitter_trend": "#ThankYouNamjoon"
         },
         {
          "count": 9,
          "hashtag": "yes",
          "max": 132.6,
          "mean": 73.42222222222223,
          "min": 25.7,
          "sum": 660.8000000000001,
          "twitter_trend": "#FlattenTheCurve"
         },
         {
          "count": 2,
          "hashtag": "yes",
          "max": 337.2,
          "mean": 317.54999999999995,
          "min": 297.9,
          "sum": 635.0999999999999,
          "twitter_trend": "#LOONA1stWin"
         }
        ]
       },
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         "field": "hashtag",
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          "COVID-19",
          "China",
          "#COVID19",
          "italy",
          "Biden",
          "#coronavirus",
          "Stay",
          "#COVID2019",
          "Close",
          "#TheBachelor",
          "Tom Hanks",
          "#SweetNightOST",
          "amazon",
          "Europe",
          "#BoyWithLuv",
          "Chinese Virus",
          "#NCT127",
          "The NBA",
          "#BhulaDungaFirstLook",
          "Rudy Gobert",
          "Schools",
          "#DemDebate",
          "Tom Brady",
          "Liverpool",
          "#NCT127_KickIt",
          "#COVIDー19",
          "Vanessa Hudgens",
          "#ThankYouNamjoon",
          "#FlattenTheCurve",
          "#LOONA1stWin",
          "#CoronaVirusChallenge",
          "#COVID_19",
          "\"Imagine\"",
          "Michigan",
          "Harvey Weinstein",
          "Zoom",
          "Hannah Ann",
          "Donovan Mitchell",
          "#StPatricksDay",
          "atletico",
          "Oprah",
          "#QuarantineLife",
          "Happy Holi",
          "Friday the 13th",
          "#HeartbreakWeather",
          "#CoronavirusOutbreak",
          "#coronapocalypse",
          "#Homecoming",
          "#InternationalWomensDay",
          "St. Patrick's Day",
          "#빠방한_범규의_빠방한_생일",
          "Flynn",
          "Barb",
          "Costco",
          "#OurEnergyBeomgyuDay",
          "#coronapocolypse",
          "Peter",
          "Trudeau",
          "Texans",
          "BLEACH",
          "#CoronaVirusUpdates",
          "March Madness",
          "BTS WORLD DOMINATION",
          "#WonhoIsAlmostHome",
          "Katie Porter",
          "Walmart",
          "FaceTime",
          "#Self_Portrait",
          "Anfield",
          "#WednesdayWisdom",
          "#MondayMotivation",
          "#DemocraticDebate",
          "Spain",
          "#ARMYMissesBTS",
          "#TrumpPandemic",
          "skype",
          "Idris Elba",
          "Warzone",
          "#SocialDistancing",
          "New England",
          "CPAC",
          "#LIVATL",
          "#staysafestayhome",
          "#TrumpLiedPeopleDied",
          "coachella",
          "#StayTheFHome",
          "Brady",
          "Disneyland",
          "#BernieSurge",
          "#stayhomechallenge",
          "Adrián",
          "#ThursdayThoughts",
          "Prime Minister",
          "#Holi",
          "Xbox",
          "Spanish Flu",
          "cElebRitiEs",
          "Bucs",
          "#AEWDynamite",
          "#HappyBirthdayYoongi",
          "#coronaoutbreak",
          "#STAYwithHyunjinForever",
          "#원호야사랑해",
          "#HighRiskCovid19",
          "July or August",
          "The World 2",
          "Jair Bolsonaro",
          "AR-14",
          "#PiDay",
          "Jay Electronica",
          "#stayhome",
          "National Emergency",
          "#marketcrash",
          "#JantaCurfew",
          "Mark Cuban",
          "#MAR10Day",
          "#TuesdayThoughts",
          "#TrumpIsTheWORSTPresidentEVER",
          "iPad Pro",
          "Airports",
          "Italians",
          "Sydow",
          "#IWD2020",
          "Madison",
          "#CoronavirusPandemic",
          "#CartoonsThatShouldReturn",
          "Lysol",
          "#FridayFeeling",
          "#Warzone",
          "Canadians",
          "#Patient31",
          "Jared",
          "Bill O'Brien",
          "O'Hare",
          "CHET",
          "#SundayThoughts",
          "#UFCBrasilia",
          "Cam Newton",
          "Kansas",
          "Euro 2020",
          "Whole Foods",
          "Diggs",
          "Marshall Law",
          "the nhl",
          "#SmackDown",
          "Kung Flu",
          "#BidensCognitiveDecline",
          "State of Emergency",
          "Chloroquine",
          "Eurovision",
          "#CancelEverything",
          "#TuesdayMotivation",
          "Slay",
          "Nunes",
          "Sophie",
          "#chinesevirus",
          "#DemExit",
          "Cuomo",
          "#MondayThoughts",
          "#FridayThoughts",
          "King Lear",
          "#TrumpPressConference",
          "Flowers",
          "Contagion",
          "Vince Carter",
          "sandra",
          "#TrumpPlague",
          "Pi Day",
          "Teddy",
          "#MyQuarantineInSixWords",
          "#CODVID19",
          "#ThursdayMotivation",
          "#CaratSelcaDay",
          "#panicbuying",
          "#우리의_SweetNight_태형",
          "#QuarantineAndChill",
          "#MattGaetzIsAQuarantinedTool",
          "Rivers",
          "Dasani",
          "#selfisolation",
          "#workingfromhome",
          "#Caturday",
          "#PlayStation5",
          "#SaturdayThoughts",
          "gal gadot",
          "parliament",
          "#schoolclosure",
          "#5YearsWithRMixtape",
          "#QuarantineCats",
          "#MondayMorning",
          "#GenX",
          "#MeToo",
          "On My Block",
          "#ThingsYouSayWhenYouCum",
          "#LoseWithBiden",
          "Flow",
          "#E32020",
          "#NationalEmergency",
          "#WheresMitch",
          "#DearBernie",
          "#NationalDayOfPrayer",
          "Don Toliver",
          "#WednesdayMotivation",
          "#LateLateNiall",
          "Chuck Norris",
          "#wednesdaythoughts",
          "#OnMyBlock",
          "Malls",
          "#survivor",
          "Martial Law",
          "#316day",
          "John Lennon",
          "#SaturdayMorning",
          "Cardinals",
          "#pandemic",
          "Casinos",
          "Roxham",
          "#Westworld",
          "US Citizens",
          "La Ligue",
          "Happy Pi",
          "Dr. Fauci",
          "Ollie",
          "#CloseTheSchools",
          "#SundayMorning",
          "#WashYourHands",
          "Gabbard",
          "#theyungbludshow",
          "Washington Post",
          "#ShutItDown",
          "The NFL",
          "Donald Glover",
          "#TuesdayMorning",
          "Monaco",
          "Copa América",
          "#AWrittenTestimony",
          "#selfisolating",
          "Malí",
          "#TheMaskedSinger",
          "DPOY",
          "Guinness",
          "David Johnson",
          "#FridayMotivation",
          "March Break",
          "Angela Merkel",
          "#tomnook",
          "#SkyForTaehyung",
          "Richard Branson",
          "#DropOutBernie",
          "Xbox Series X",
          "Belichick",
          "Buckner",
          "#SundayMotivation",
          "The World Health Organization",
          "#LyinBiden",
          "#TheWalkingDead",
          "Gamestop",
          "#WrestleMania",
          "#QuarentineLife",
          "Happy Birthday Rosie",
          "Ides of March",
          "Don Lemon",
          "#MondayMood",
          "#ThisIsUs",
          "#TrumptheWorstPresidentEVER",
          "#StayHomeSaveLives",
          "#IStandWithJamar",
          "#COVIDalberta",
          "#McGill24",
          "#NFLFreeAgency",
          "#boycottTimHortons",
          "#canadalockdown",
          "#shametheflames",
          "#startupchats",
          "Canada-U.S.",
          "Horacio Arruda",
          "#covidontario",
          "Christchurch",
          "#shutdownNYC",
          "#WriteinBernie",
          "#ByeByeBernie",
          "#NationalNappingDay",
          "Foles",
          "Amazon and eBay",
          "AFC East",
          "Devin Nunes",
          "Ricky",
          "#LivePD",
          "Red Robin",
          "Election Day",
          "#PS5Reveal",
          "#BlackMonday",
          "Series X",
          "The PS5",
          "#firstdayofspring",
          "Salt Lake City",
          "Austria",
          "Mark Cerny",
          "#LockdownCanada",
          "Gavin",
          "Vanity Fair",
          "#Budget2020",
          "jay z",
          "#tuesdayvibes",
          "#BigOnlinePar",
          "#SaveWorkers",
          "#WorldSleepDay",
          "Robert Kraft",
          "Gambino",
          "Mel Brooks",
          "Unpaid",
          "#CNNDebate",
          "Kelley",
          "NFL 2K",
          "#Élite",
          "#COVID19ON",
          "#BBCAN8",
          "Chris Harrison",
          "Negan",
          "Brees",
          "Big East",
          "Small Talk",
          "Elias",
          "#AddAComedianToAMovie",
          "#BoomerRemover",
          "#C4CSummit",
          "#COVID19Ontario",
          "#CanadaCovid19",
          "#CanadiansIn3Words",
          "#IndigoGiveaway",
          "#RollUpTheRim",
          "#TheView",
          "#caremongering",
          "#covid19Qc",
          "#onseprotege",
          "#ontariolockdown",
          "#proudtobecanadian",
          "#selfisolate",
          "#stayhomeCanada",
          "#wearecyber",
          "Bob Rae",
          "CSEC",
          "Calgary Flames",
          "Dr. Hinshaw",
          "Emergency Care Benefit",
          "Gobert",
          "Happy Birthday Mack",
          "Happy Birthday Nixon",
          "Juno Awards",
          "Loblaws",
          "Morgan Rielly",
          "Murray Edwards",
          "Pearl Jam",
          "Roxham Road",
          "Swiss Chalet",
          "Zellers",
          "anne marie",
          "no frills",
          "#FridayThe13th",
          "#911LoneStar",
          "Madden",
          "Jared Leto",
          "#Trumpdemic",
          "Kathy",
          "The PM",
          "#90DayFiance",
          "Chet Hanks",
          "Utah",
          "#panicshopping",
          "Olimpia",
          "#Weinstein",
          "#TomBrady",
          "#fancamsareoverparty",
          "Schengen",
          "#AEWonTNT",
          "Comet",
          "#WWEChamber",
          "#KKvLQ",
          "Chris Evans",
          "#MarioDay",
          "Falwell",
          "Toyota",
          "Mark Ruffalo",
          "#LUVVsTheWorld2",
          "AITA",
          "#Euro2020",
          "#SundayFunday",
          "#LQvPZ",
          "The Masters",
          "Norm",
          "PM Justin Trudeau",
          "#911onFOX",
          "#CoronaKatie",
          "#toiletpaperpanic",
          "Mitt Romney",
          "Pearson",
          "St. Joseph",
          "#DemExit2020",
          "#WorldKidneyDay",
          "Lego Mario",
          "Calais Campbell",
          "uk and ireland",
          "#supermoon",
          "Edelman",
          "IndyCar",
          "Matt Hardy",
          "#oilprice",
          "St. Patty's Day",
          "2nd Amendment",
          "Board of Governors",
          "Brodie Lee",
          "#ThingsYouShouldHoard",
          "Bambi",
          "#Pandumbic",
          "Triple H",
          "Vegemite",
          "#BLEACH2020",
          "#ReleaseTheButtholeCut",
          "Tom Cotton",
          "#SeductiveSunday",
          "Horizon Zero Dawn",
          "Andy Dalton",
          "Only 4",
          "#ToiletPaperApocalypse",
          "Trufant",
          "Kevin Lee",
          "Tom and Rita",
          "#1stHabsGoal",
          "#AMUN2020",
          "#Ask31",
          "#AskMandyMoore",
          "#AskNiall",
          "#AskRobbo",
          "#AskSNstats",
          "#AustralianGP",
          "#BachelorFinale",
          "#BeKindToEachOther",
          "#BillsMafia",
          "#BoycottTims",
          "#Brady",
          "#BudgetQc",
          "#BuyLocal",
          "#CABHIinnovates",
          "#CANBillboardExplain",
          "#CELLYSZN",
          "#COVID19Vancouver",
          "#COVID19toronto",
          "#COVIDCanada",
          "#CanadaPerforms",
          "#CoreyFeldman",
          "#CoronaVirusCanada",
          "#Coronavirustoronto",
          "#DX32020",
          "#DaylightSavingsTime",
          "#DietitiansDay",
          "#DuringMy14DayQuarantine",
          "#E3Cancelled",
          "#EducationWeek2020",
          "#EuropaLeague",
          "#FakeSelfieFacts",
          "#FlashbackFriday",
          "#FreeTheDELETE",
          "#FridayReads",
          "#FursuitFriday",
          "#GOAT",
          "#GoLeafsGo",
          "#HIOSummit20",
          "#HowICFL",
          "#HowNotToGetArrested",
          "#HowToKeepPeopleHome",
          "#HowYouKnowYouAreBroke",
          "#IMFC",
          "#IfTheVirusHadASong",
          "#InMyQuarantineSurvivalKit",
          "#InThisTogether",
          "#KidQuotes",
          "#LCC2point0",
          "#LGBTQstandtogether",
          "#LaVoixTVA",
          "#LearningLeadersNLESD",
          "#LiesMyTeacherTold",
          "#LoonaFirstWin",
          "#MYTRUTHDOC",
          "#MusicMonday",
          "#MyPandemicSurvivalPlan",
          "#NFLFreeAgency2020",
          "#NationalPotatoChipDay",
          "#NewMusicFriday",
          "#NinasMakeupCafe",
          "#Notoiletpaper",
          "#Nowruz",
          "#OhYouDidNotJust",
          "#OnMyBlockS3",
          "#OnTheBrightside",
          "#OnThePandemicUpside",
          "#PEICovid19",
          "#PEPsymposium2020",
          "#PSL2020",
          "#PSPCdigital",
          "#ProtectEveryone",
          "#ProtecttheBoreal",
          "#Raptors",
          "#RoadToPS5",
          "#SARMAnnual2020",
          "#Shoppersdrugmart",
          "#SocialDistanacing",
          "#SocialDistancingNow",
          "#StPaddysDay",
          "#StayConnected",
          "#Sunnybrook",
          "#Superstore",
          "#SurvivorWinnersAtWar",
          "#TDAD",
          "#TIIEC2020",
          "#TORvsUTA",
          "#ThankfulThursday",
          "#TheHuntMovie",
          "#TheWorldEndedAndGodSaid",
          "#ThingsISayToGetMyWay",
          "#ThingsThatMakesMeCringe",
          "#TimHortons",
          "#TimesUp",
          "#TravelTuesday",
          "#TriviaTuesday",
          "#WPGvsEDM",
          "#WWEHOF",
          "#WWERAW",
          "#WeTheNorth",
          "#WhyIWorryIn5Words",
          "#WorldDownSyndromeDay",
          "#WrestleOttawa",
          "#YEGTechCares",
          "#YIAYhi",
          "#YouCanTellAlotAboutPeopleFrom",
          "#abed",
          "#alertNotAnxious",
          "#asklauv",
          "#battleofmohawkpark",
          "#bcedchat",
          "#bcwinechat",
          "#boycott",
          "#budgetquebec",
          "#communityspirit",
          "#covid19Canada",
          "#covid19bc",
          "#covid19novascotia",
          "#covid19ottawa",
          "#covidkindness",
          "#covidpoème",
          "#covidtoronto",
          "#cusma",
          "#day1",
          "#dropkickmurphys",
          "#ezrastreet",
          "#fullmoon",
          "#futureproven",
          "#hoeforxuxiisoverparty",
          "#hs3atmidnight",
          "#immunocompromised",
          "#learningfromhome",
          "#lesgens",
          "#lockdownontario",
          "#mavsbotb2020",
          "#mcgillproud",
          "#nbasuspended",
          "#newcitiesglobalgoals",
          "#prison",
          "#propagelinfopaslevirus",
          "#samplesource",
          "#screenshotsaturday",
          "#stockmarketcrash",
          "#stpatricksday2020",
          "#stroopwafel",
          "#sundayscrum",
          "#supportlocalbusiness",
          "#tlmep",
          "#twug",
          "#unfathomable",
          "#yegtransit",
          "#직찍직꾸폴꾸",
          "$82 Billion",
          "1 in Canada",
          "3% of GDP",
          "ALL Canadians",
          "Addison Rae",
          "Air Canada",
          "All NHL",
          "All of Canada",
          "Andersen",
          "As of Wednesday",
          "BOLD CHALLENGE",
          "Bank of Canada",
          "Beware the Ides of March",
          "Bill Morneau",
          "Brewer",
          "Burkina Faso",
          "CBC News Network",
          "CN Tower",
          "Canada Student Loans",
          "Canada and the United States",
          "Capitale-Nationale",
          "Catch and Kill",
          "Charlie Sheen",
          "Christine Elliott",
          "Come From Away",
          "D-DAY",
          "Dana Carvey",
          "Dead Space",
          "Dithering",
          "Downtown Nashville",
          "Dr. Theresa Tam",
          "Ed Martin",
          "Emergency Measures Act",
          "Emergency Support Benefit",
          "Except Americans",
          "FAN SINCE",
          "FIRST COW",
          "Favourite All-Time Canuck",
          "First Ministers",
          "François Legault",
          "Gilead",
          "Global Affairs",
          "GoodLife",
          "Gronk",
          "Happy Birthday Henry",
          "Happy Birthday Zoey",
          "Has Benning",
          "Health Minister Patty Hajdu",
          "Hockey Canada",
          "How Canada",
          "Hyman",
          "Italy and Spain",
          "Italy or Iran",
          "Ivy League",
          "Jack Ma",
          "Jagmeet",
          "Jags",
          "Jeremy Jacobs",
          "Joe Budden",
          "Joe Montana",
          "Jose Bautista",
          "Josh Gordon",
          "Katz",
          "Ken King",
          "Kyler Murray",
          "LA Times",
          "LCBO",
          "LEAST FAV",
          "La LNH",
          "La MLS",
          "Lanaudière",
          "Laurentian",
          "Le PM",
          "Legault",
          "Major League Soccer",
          "Mario Lemieux",
          "Marleau",
          "Mayor Ryan",
          "McCafé",
          "Monday and Tuesday",
          "Muskrat Falls",
          "NFC West",
          "NFLPA",
          "NSAIDs",
          "National Hockey League",
          "National Lacrosse League",
          "National Newspaper Awards",
          "Njoku",
          "No NHL",
          "Noah Juulsen",
          "Ottawa Public Health",
          "Our Prime Minister",
          "Overdrive",
          "PDAC",
          "PGA Tour",
          "PM Trudeau",
          "PS4 Pro",
          "Parks Canada",
          "Pays-Bas",
          "Pierre Bruneau",
          "Planet of the Apes",
          "Porter Airlines",
          "Premier Doug Ford",
          "Premier Dwight Ball",
          "Princess Cruises",
          "Reaching Home",
          "Richard Marx",
          "Rideau Cottage",
          "Robert Fife",
          "Rochester",
          "Ryerson",
          "Régis Labeaume",
          "SNC-Lavalin",
          "SSDs",
          "Salmon Arm",
          "Schlatter",
          "Second Cup",
          "Service Canada",
          "Sheridan",
          "Slapshot",
          "Snowflake and Safespace",
          "St. Hubert",
          "Stidham",
          "Strange Brew",
          "Sudbury",
          "Sunnybrook Research Institute",
          "Sunwing",
          "Swoop",
          "The Breakfast Club",
          "The Killers",
          "Thierry Henry",
          "Todd Gurley",
          "Toronto and Montreal",
          "Trevor Lawrence",
          "Trubisky",
          "U of T",
          "US Open",
          "Undefeated",
          "UofA",
          "Valero Texas Open",
          "Vancouver and Calgary",
          "Wednesday and Thursday",
          "William Nylander",
          "Wishing Sophie",
          "Youngblood",
          "amari cooper",
          "audrey gagnon",
          "big six",
          "canada and the u.s.",
          "covid-19 in sask",
          "fast 9",
          "fav non-hab",
          "hedman",
          "mccaw",
          "nathan mackinnon",
          "santé canada",
          "wheel of fortune",
          "Éric Salvail"
         ],
         "type": "nominal"
        },
        "y": {
         "field": "sum",
         "title": "Number of tweets",
         "type": "quantitative"
        }
       },
       "mark": "bar"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 4 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Plot\n",
    "alt.Chart(df_2[:30]).mark_bar().encode(\n",
    "    alt.X('twitter_trend', sort=my_sort),\n",
    "    alt.Y('sum', title=\"Number of tweets\"),\n",
    "    alt.Color('hashtag'),\n",
    "    tooltip=['twitter_trend', 'sum', 'hashtag']\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Only hashtags (#)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json",
       "config": {
        "view": {
         "continuousHeight": 300,
         "continuousWidth": 400
        }
       },
       "data": {
        "name": "data-b38e93665a3d915d337dfc91488313fe"
       },
       "datasets": {
        "data-b38e93665a3d915d337dfc91488313fe": [
         {
          "count": 3,
          "hashtag": "yes",
          "max": 3200,
          "mean": 2400,
          "min": 1000,
          "sum": 7200,
          "twitter_trend": "#COVID19"
         },
         {
          "count": 2,
          "hashtag": "yes",
          "max": 1700,
          "mean": 1650,
          "min": 1600,
          "sum": 3300,
          "twitter_trend": "#coronavirus"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 847.1,
          "mean": 671.3333333333334,
          "min": 567.2,
          "sum": 2014,
          "twitter_trend": "#COVID2019"
         },
         {
          "count": 5,
          "hashtag": "yes",
          "max": 663.2,
          "mean": 380.94,
          "min": 134.9,
          "sum": 1904.7,
          "twitter_trend": "#TheBachelor"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 719.2,
          "mean": 514.6333333333333,
          "min": 233,
          "sum": 1543.9,
          "twitter_trend": "#SweetNightOST"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 1400,
          "mean": 1400,
          "min": 1400,
          "sum": 1400,
          "twitter_trend": "#BoyWithLuv"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 1300,
          "mean": 1300,
          "min": 1300,
          "sum": 1300,
          "twitter_trend": "#NCT127"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 1200,
          "mean": 1200,
          "min": 1200,
          "sum": 1200,
          "twitter_trend": "#BhulaDungaFirstLook"
         },
         {
          "count": 2,
          "hashtag": "yes",
          "max": 790.1,
          "mean": 472,
          "min": 153.9,
          "sum": 944,
          "twitter_trend": "#DemDebate"
         },
         {
          "count": 2,
          "hashtag": "yes",
          "max": 382.6,
          "mean": 375.35,
          "min": 368.1,
          "sum": 750.7,
          "twitter_trend": "#NCT127_KickIt"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 743.7,
          "mean": 743.7,
          "min": 743.7,
          "sum": 743.7,
          "twitter_trend": "#COVIDー19"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 321.6,
          "mean": 221.33333333333334,
          "min": 132.7,
          "sum": 664,
          "twitter_trend": "#ThankYouNamjoon"
         },
         {
          "count": 9,
          "hashtag": "yes",
          "max": 132.6,
          "mean": 73.42222222222223,
          "min": 25.7,
          "sum": 660.8000000000001,
          "twitter_trend": "#FlattenTheCurve"
         },
         {
          "count": 2,
          "hashtag": "yes",
          "max": 337.2,
          "mean": 317.54999999999995,
          "min": 297.9,
          "sum": 635.0999999999999,
          "twitter_trend": "#LOONA1stWin"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 436.7,
          "mean": 203.83333333333334,
          "min": 29.9,
          "sum": 611.5,
          "twitter_trend": "#CoronaVirusChallenge"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 589.8,
          "mean": 589.8,
          "min": 589.8,
          "sum": 589.8,
          "twitter_trend": "#COVID_19"
         },
         {
          "count": 2,
          "hashtag": "yes",
          "max": 294.1,
          "mean": 240.5,
          "min": 186.9,
          "sum": 481,
          "twitter_trend": "#StPatricksDay"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 238.5,
          "mean": 151.9,
          "min": 12.2,
          "sum": 455.7,
          "twitter_trend": "#QuarantineLife"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 233.1,
          "mean": 149.93333333333334,
          "min": 30.7,
          "sum": 449.8,
          "twitter_trend": "#HeartbreakWeather"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 429.7,
          "mean": 429.7,
          "min": 429.7,
          "sum": 429.7,
          "twitter_trend": "#CoronavirusOutbreak"
         },
         {
          "count": 2,
          "hashtag": "yes",
          "max": 337.1,
          "mean": 213.65,
          "min": 90.2,
          "sum": 427.3,
          "twitter_trend": "#coronapocalypse"
         },
         {
          "count": 2,
          "hashtag": "yes",
          "max": 208.5,
          "mean": 202.95,
          "min": 197.4,
          "sum": 405.9,
          "twitter_trend": "#Homecoming"
         },
         {
          "count": 2,
          "hashtag": "yes",
          "max": 273.3,
          "mean": 202.55,
          "min": 131.8,
          "sum": 405.1,
          "twitter_trend": "#InternationalWomensDay"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 392.7,
          "mean": 392.7,
          "min": 392.7,
          "sum": 392.7,
          "twitter_trend": "#빠방한_범규의_빠방한_생일"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 367.9,
          "mean": 367.9,
          "min": 367.9,
          "sum": 367.9,
          "twitter_trend": "#OurEnergyBeomgyuDay"
         },
         {
          "count": 3,
          "hashtag": "yes",
          "max": 195.8,
          "mean": 119.83333333333333,
          "min": 17.7,
          "sum": 359.5,
          "twitter_trend": "#coronapocolypse"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 342.7,
          "mean": 342.7,
          "min": 342.7,
          "sum": 342.7,
          "twitter_trend": "#CoronaVirusUpdates"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 318.4,
          "mean": 318.4,
          "min": 318.4,
          "sum": 318.4,
          "twitter_trend": "#WonhoIsAlmostHome"
         },
         {
          "count": 1,
          "hashtag": "yes",
          "max": 287.9,
          "mean": 287.9,
          "min": 287.9,
          "sum": 287.9,
          "twitter_trend": "#Self_Portrait"
         },
         {
          "count": 4,
          "hashtag": "yes",
          "max": 78.8,
          "mean": 70.97500000000001,
          "min": 62.8,
          "sum": 283.90000000000003,
          "twitter_trend": "#WednesdayWisdom"
         }
        ]
       },
       "encoding": {
        "tooltip": [
         {
          "field": "twitter_trend",
          "type": "nominal"
         },
         {
          "field": "sum",
          "type": "quantitative"
         },
         {
          "field": "hashtag",
          "type": "nominal"
         }
        ],
        "x": {
         "field": "twitter_trend",
         "sort": [
          "COVID-19",
          "China",
          "#COVID19",
          "italy",
          "Biden",
          "#coronavirus",
          "Stay",
          "#COVID2019",
          "Close",
          "#TheBachelor",
          "Tom Hanks",
          "#SweetNightOST",
          "amazon",
          "Europe",
          "#BoyWithLuv",
          "Chinese Virus",
          "#NCT127",
          "The NBA",
          "#BhulaDungaFirstLook",
          "Rudy Gobert",
          "Schools",
          "#DemDebate",
          "Tom Brady",
          "Liverpool",
          "#NCT127_KickIt",
          "#COVIDー19",
          "Vanessa Hudgens",
          "#ThankYouNamjoon",
          "#FlattenTheCurve",
          "#LOONA1stWin",
          "#CoronaVirusChallenge",
          "#COVID_19",
          "\"Imagine\"",
          "Michigan",
          "Harvey Weinstein",
          "Zoom",
          "Hannah Ann",
          "Donovan Mitchell",
          "#StPatricksDay",
          "atletico",
          "Oprah",
          "#QuarantineLife",
          "Happy Holi",
          "Friday the 13th",
          "#HeartbreakWeather",
          "#CoronavirusOutbreak",
          "#coronapocalypse",
          "#Homecoming",
          "#InternationalWomensDay",
          "St. Patrick's Day",
          "#빠방한_범규의_빠방한_생일",
          "Flynn",
          "Barb",
          "Costco",
          "#OurEnergyBeomgyuDay",
          "#coronapocolypse",
          "Peter",
          "Trudeau",
          "Texans",
          "BLEACH",
          "#CoronaVirusUpdates",
          "March Madness",
          "BTS WORLD DOMINATION",
          "#WonhoIsAlmostHome",
          "Katie Porter",
          "Walmart",
          "FaceTime",
          "#Self_Portrait",
          "Anfield",
          "#WednesdayWisdom",
          "#MondayMotivation",
          "#DemocraticDebate",
          "Spain",
          "#ARMYMissesBTS",
          "#TrumpPandemic",
          "skype",
          "Idris Elba",
          "Warzone",
          "#SocialDistancing",
          "New England",
          "CPAC",
          "#LIVATL",
          "#staysafestayhome",
          "#TrumpLiedPeopleDied",
          "coachella",
          "#StayTheFHome",
          "Brady",
          "Disneyland",
          "#BernieSurge",
          "#stayhomechallenge",
          "Adrián",
          "#ThursdayThoughts",
          "Prime Minister",
          "#Holi",
          "Xbox",
          "Spanish Flu",
          "cElebRitiEs",
          "Bucs",
          "#AEWDynamite",
          "#HappyBirthdayYoongi",
          "#coronaoutbreak",
          "#STAYwithHyunjinForever",
          "#원호야사랑해",
          "#HighRiskCovid19",
          "July or August",
          "The World 2",
          "Jair Bolsonaro",
          "AR-14",
          "#PiDay",
          "Jay Electronica",
          "#stayhome",
          "National Emergency",
          "#marketcrash",
          "#JantaCurfew",
          "Mark Cuban",
          "#MAR10Day",
          "#TuesdayThoughts",
          "#TrumpIsTheWORSTPresidentEVER",
          "iPad Pro",
          "Airports",
          "Italians",
          "Sydow",
          "#IWD2020",
          "Madison",
          "#CoronavirusPandemic",
          "#CartoonsThatShouldReturn",
          "Lysol",
          "#FridayFeeling",
          "#Warzone",
          "Canadians",
          "#Patient31",
          "Jared",
          "Bill O'Brien",
          "O'Hare",
          "CHET",
          "#SundayThoughts",
          "#UFCBrasilia",
          "Cam Newton",
          "Kansas",
          "Euro 2020",
          "Whole Foods",
          "Diggs",
          "Marshall Law",
          "the nhl",
          "#SmackDown",
          "Kung Flu",
          "#BidensCognitiveDecline",
          "State of Emergency",
          "Chloroquine",
          "Eurovision",
          "#CancelEverything",
          "#TuesdayMotivation",
          "Slay",
          "Nunes",
          "Sophie",
          "#chinesevirus",
          "#DemExit",
          "Cuomo",
          "#MondayThoughts",
          "#FridayThoughts",
          "King Lear",
          "#TrumpPressConference",
          "Flowers",
          "Contagion",
          "Vince Carter",
          "sandra",
          "#TrumpPlague",
          "Pi Day",
          "Teddy",
          "#MyQuarantineInSixWords",
          "#CODVID19",
          "#ThursdayMotivation",
          "#CaratSelcaDay",
          "#panicbuying",
          "#우리의_SweetNight_태형",
          "#QuarantineAndChill",
          "#MattGaetzIsAQuarantinedTool",
          "Rivers",
          "Dasani",
          "#selfisolation",
          "#workingfromhome",
          "#Caturday",
          "#PlayStation5",
          "#SaturdayThoughts",
          "gal gadot",
          "parliament",
          "#schoolclosure",
          "#5YearsWithRMixtape",
          "#QuarantineCats",
          "#MondayMorning",
          "#GenX",
          "#MeToo",
          "On My Block",
          "#ThingsYouSayWhenYouCum",
          "#LoseWithBiden",
          "Flow",
          "#E32020",
          "#NationalEmergency",
          "#WheresMitch",
          "#DearBernie",
          "#NationalDayOfPrayer",
          "Don Toliver",
          "#WednesdayMotivation",
          "#LateLateNiall",
          "Chuck Norris",
          "#wednesdaythoughts",
          "#OnMyBlock",
          "Malls",
          "#survivor",
          "Martial Law",
          "#316day",
          "John Lennon",
          "#SaturdayMorning",
          "Cardinals",
          "#pandemic",
          "Casinos",
          "Roxham",
          "#Westworld",
          "US Citizens",
          "La Ligue",
          "Happy Pi",
          "Dr. Fauci",
          "Ollie",
          "#CloseTheSchools",
          "#SundayMorning",
          "#WashYourHands",
          "Gabbard",
          "#theyungbludshow",
          "Washington Post",
          "#ShutItDown",
          "The NFL",
          "Donald Glover",
          "#TuesdayMorning",
          "Monaco",
          "Copa América",
          "#AWrittenTestimony",
          "#selfisolating",
          "Malí",
          "#TheMaskedSinger",
          "DPOY",
          "Guinness",
          "David Johnson",
          "#FridayMotivation",
          "March Break",
          "Angela Merkel",
          "#tomnook",
          "#SkyForTaehyung",
          "Richard Branson",
          "#DropOutBernie",
          "Xbox Series X",
          "Belichick",
          "Buckner",
          "#SundayMotivation",
          "The World Health Organization",
          "#LyinBiden",
          "#TheWalkingDead",
          "Gamestop",
          "#WrestleMania",
          "#QuarentineLife",
          "Happy Birthday Rosie",
          "Ides of March",
          "Don Lemon",
          "#MondayMood",
          "#ThisIsUs",
          "#TrumptheWorstPresidentEVER",
          "#StayHomeSaveLives",
          "#IStandWithJamar",
          "#COVIDalberta",
          "#McGill24",
          "#NFLFreeAgency",
          "#boycottTimHortons",
          "#canadalockdown",
          "#shametheflames",
          "#startupchats",
          "Canada-U.S.",
          "Horacio Arruda",
          "#covidontario",
          "Christchurch",
          "#shutdownNYC",
          "#WriteinBernie",
          "#ByeByeBernie",
          "#NationalNappingDay",
          "Foles",
          "Amazon and eBay",
          "AFC East",
          "Devin Nunes",
          "Ricky",
          "#LivePD",
          "Red Robin",
          "Election Day",
          "#PS5Reveal",
          "#BlackMonday",
          "Series X",
          "The PS5",
          "#firstdayofspring",
          "Salt Lake City",
          "Austria",
          "Mark Cerny",
          "#LockdownCanada",
          "Gavin",
          "Vanity Fair",
          "#Budget2020",
          "jay z",
          "#tuesdayvibes",
          "#BigOnlinePar",
          "#SaveWorkers",
          "#WorldSleepDay",
          "Robert Kraft",
          "Gambino",
          "Mel Brooks",
          "Unpaid",
          "#CNNDebate",
          "Kelley",
          "NFL 2K",
          "#Élite",
          "#COVID19ON",
          "#BBCAN8",
          "Chris Harrison",
          "Negan",
          "Brees",
          "Big East",
          "Small Talk",
          "Elias",
          "#AddAComedianToAMovie",
          "#BoomerRemover",
          "#C4CSummit",
          "#COVID19Ontario",
          "#CanadaCovid19",
          "#CanadiansIn3Words",
          "#IndigoGiveaway",
          "#RollUpTheRim",
          "#TheView",
          "#caremongering",
          "#covid19Qc",
          "#onseprotege",
          "#ontariolockdown",
          "#proudtobecanadian",
          "#selfisolate",
          "#stayhomeCanada",
          "#wearecyber",
          "Bob Rae",
          "CSEC",
          "Calgary Flames",
          "Dr. Hinshaw",
          "Emergency Care Benefit",
          "Gobert",
          "Happy Birthday Mack",
          "Happy Birthday Nixon",
          "Juno Awards",
          "Loblaws",
          "Morgan Rielly",
          "Murray Edwards",
          "Pearl Jam",
          "Roxham Road",
          "Swiss Chalet",
          "Zellers",
          "anne marie",
          "no frills",
          "#FridayThe13th",
          "#911LoneStar",
          "Madden",
          "Jared Leto",
          "#Trumpdemic",
          "Kathy",
          "The PM",
          "#90DayFiance",
          "Chet Hanks",
          "Utah",
          "#panicshopping",
          "Olimpia",
          "#Weinstein",
          "#TomBrady",
          "#fancamsareoverparty",
          "Schengen",
          "#AEWonTNT",
          "Comet",
          "#WWEChamber",
          "#KKvLQ",
          "Chris Evans",
          "#MarioDay",
          "Falwell",
          "Toyota",
          "Mark Ruffalo",
          "#LUVVsTheWorld2",
          "AITA",
          "#Euro2020",
          "#SundayFunday",
          "#LQvPZ",
          "The Masters",
          "Norm",
          "PM Justin Trudeau",
          "#911onFOX",
          "#CoronaKatie",
          "#toiletpaperpanic",
          "Mitt Romney",
          "Pearson",
          "St. Joseph",
          "#DemExit2020",
          "#WorldKidneyDay",
          "Lego Mario",
          "Calais Campbell",
          "uk and ireland",
          "#supermoon",
          "Edelman",
          "IndyCar",
          "Matt Hardy",
          "#oilprice",
          "St. Patty's Day",
          "2nd Amendment",
          "Board of Governors",
          "Brodie Lee",
          "#ThingsYouShouldHoard",
          "Bambi",
          "#Pandumbic",
          "Triple H",
          "Vegemite",
          "#BLEACH2020",
          "#ReleaseTheButtholeCut",
          "Tom Cotton",
          "#SeductiveSunday",
          "Horizon Zero Dawn",
          "Andy Dalton",
          "Only 4",
          "#ToiletPaperApocalypse",
          "Trufant",
          "Kevin Lee",
          "Tom and Rita",
          "#1stHabsGoal",
          "#AMUN2020",
          "#Ask31",
          "#AskMandyMoore",
          "#AskNiall",
          "#AskRobbo",
          "#AskSNstats",
          "#AustralianGP",
          "#BachelorFinale",
          "#BeKindToEachOther",
          "#BillsMafia",
          "#BoycottTims",
          "#Brady",
          "#BudgetQc",
          "#BuyLocal",
          "#CABHIinnovates",
          "#CANBillboardExplain",
          "#CELLYSZN",
          "#COVID19Vancouver",
          "#COVID19toronto",
          "#COVIDCanada",
          "#CanadaPerforms",
          "#CoreyFeldman",
          "#CoronaVirusCanada",
          "#Coronavirustoronto",
          "#DX32020",
          "#DaylightSavingsTime",
          "#DietitiansDay",
          "#DuringMy14DayQuarantine",
          "#E3Cancelled",
          "#EducationWeek2020",
          "#EuropaLeague",
          "#FakeSelfieFacts",
          "#FlashbackFriday",
          "#FreeTheDELETE",
          "#FridayReads",
          "#FursuitFriday",
          "#GOAT",
          "#GoLeafsGo",
          "#HIOSummit20",
          "#HowICFL",
          "#HowNotToGetArrested",
          "#HowToKeepPeopleHome",
          "#HowYouKnowYouAreBroke",
          "#IMFC",
          "#IfTheVirusHadASong",
          "#InMyQuarantineSurvivalKit",
          "#InThisTogether",
          "#KidQuotes",
          "#LCC2point0",
          "#LGBTQstandtogether",
          "#LaVoixTVA",
          "#LearningLeadersNLESD",
          "#LiesMyTeacherTold",
          "#LoonaFirstWin",
          "#MYTRUTHDOC",
          "#MusicMonday",
          "#MyPandemicSurvivalPlan",
          "#NFLFreeAgency2020",
          "#NationalPotatoChipDay",
          "#NewMusicFriday",
          "#NinasMakeupCafe",
          "#Notoiletpaper",
          "#Nowruz",
          "#OhYouDidNotJust",
          "#OnMyBlockS3",
          "#OnTheBrightside",
          "#OnThePandemicUpside",
          "#PEICovid19",
          "#PEPsymposium2020",
          "#PSL2020",
          "#PSPCdigital",
          "#ProtectEveryone",
          "#ProtecttheBoreal",
          "#Raptors",
          "#RoadToPS5",
          "#SARMAnnual2020",
          "#Shoppersdrugmart",
          "#SocialDistanacing",
          "#SocialDistancingNow",
          "#StPaddysDay",
          "#StayConnected",
          "#Sunnybrook",
          "#Superstore",
          "#SurvivorWinnersAtWar",
          "#TDAD",
          "#TIIEC2020",
          "#TORvsUTA",
          "#ThankfulThursday",
          "#TheHuntMovie",
          "#TheWorldEndedAndGodSaid",
          "#ThingsISayToGetMyWay",
          "#ThingsThatMakesMeCringe",
          "#TimHortons",
          "#TimesUp",
          "#TravelTuesday",
          "#TriviaTuesday",
          "#WPGvsEDM",
          "#WWEHOF",
          "#WWERAW",
          "#WeTheNorth",
          "#WhyIWorryIn5Words",
          "#WorldDownSyndromeDay",
          "#WrestleOttawa",
          "#YEGTechCares",
          "#YIAYhi",
          "#YouCanTellAlotAboutPeopleFrom",
          "#abed",
          "#alertNotAnxious",
          "#asklauv",
          "#battleofmohawkpark",
          "#bcedchat",
          "#bcwinechat",
          "#boycott",
          "#budgetquebec",
          "#communityspirit",
          "#covid19Canada",
          "#covid19bc",
          "#covid19novascotia",
          "#covid19ottawa",
          "#covidkindness",
          "#covidpoème",
          "#covidtoronto",
          "#cusma",
          "#day1",
          "#dropkickmurphys",
          "#ezrastreet",
          "#fullmoon",
          "#futureproven",
          "#hoeforxuxiisoverparty",
          "#hs3atmidnight",
          "#immunocompromised",
          "#learningfromhome",
          "#lesgens",
          "#lockdownontario",
          "#mavsbotb2020",
          "#mcgillproud",
          "#nbasuspended",
          "#newcitiesglobalgoals",
          "#prison",
          "#propagelinfopaslevirus",
          "#samplesource",
          "#screenshotsaturday",
          "#stockmarketcrash",
          "#stpatricksday2020",
          "#stroopwafel",
          "#sundayscrum",
          "#supportlocalbusiness",
          "#tlmep",
          "#twug",
          "#unfathomable",
          "#yegtransit",
          "#직찍직꾸폴꾸",
          "$82 Billion",
          "1 in Canada",
          "3% of GDP",
          "ALL Canadians",
          "Addison Rae",
          "Air Canada",
          "All NHL",
          "All of Canada",
          "Andersen",
          "As of Wednesday",
          "BOLD CHALLENGE",
          "Bank of Canada",
          "Beware the Ides of March",
          "Bill Morneau",
          "Brewer",
          "Burkina Faso",
          "CBC News Network",
          "CN Tower",
          "Canada Student Loans",
          "Canada and the United States",
          "Capitale-Nationale",
          "Catch and Kill",
          "Charlie Sheen",
          "Christine Elliott",
          "Come From Away",
          "D-DAY",
          "Dana Carvey",
          "Dead Space",
          "Dithering",
          "Downtown Nashville",
          "Dr. Theresa Tam",
          "Ed Martin",
          "Emergency Measures Act",
          "Emergency Support Benefit",
          "Except Americans",
          "FAN SINCE",
          "FIRST COW",
          "Favourite All-Time Canuck",
          "First Ministers",
          "François Legault",
          "Gilead",
          "Global Affairs",
          "GoodLife",
          "Gronk",
          "Happy Birthday Henry",
          "Happy Birthday Zoey",
          "Has Benning",
          "Health Minister Patty Hajdu",
          "Hockey Canada",
          "How Canada",
          "Hyman",
          "Italy and Spain",
          "Italy or Iran",
          "Ivy League",
          "Jack Ma",
          "Jagmeet",
          "Jags",
          "Jeremy Jacobs",
          "Joe Budden",
          "Joe Montana",
          "Jose Bautista",
          "Josh Gordon",
          "Katz",
          "Ken King",
          "Kyler Murray",
          "LA Times",
          "LCBO",
          "LEAST FAV",
          "La LNH",
          "La MLS",
          "Lanaudière",
          "Laurentian",
          "Le PM",
          "Legault",
          "Major League Soccer",
          "Mario Lemieux",
          "Marleau",
          "Mayor Ryan",
          "McCafé",
          "Monday and Tuesday",
          "Muskrat Falls",
          "NFC West",
          "NFLPA",
          "NSAIDs",
          "National Hockey League",
          "National Lacrosse League",
          "National Newspaper Awards",
          "Njoku",
          "No NHL",
          "Noah Juulsen",
          "Ottawa Public Health",
          "Our Prime Minister",
          "Overdrive",
          "PDAC",
          "PGA Tour",
          "PM Trudeau",
          "PS4 Pro",
          "Parks Canada",
          "Pays-Bas",
          "Pierre Bruneau",
          "Planet of the Apes",
          "Porter Airlines",
          "Premier Doug Ford",
          "Premier Dwight Ball",
          "Princess Cruises",
          "Reaching Home",
          "Richard Marx",
          "Rideau Cottage",
          "Robert Fife",
          "Rochester",
          "Ryerson",
          "Régis Labeaume",
          "SNC-Lavalin",
          "SSDs",
          "Salmon Arm",
          "Schlatter",
          "Second Cup",
          "Service Canada",
          "Sheridan",
          "Slapshot",
          "Snowflake and Safespace",
          "St. Hubert",
          "Stidham",
          "Strange Brew",
          "Sudbury",
          "Sunnybrook Research Institute",
          "Sunwing",
          "Swoop",
          "The Breakfast Club",
          "The Killers",
          "Thierry Henry",
          "Todd Gurley",
          "Toronto and Montreal",
          "Trevor Lawrence",
          "Trubisky",
          "U of T",
          "US Open",
          "Undefeated",
          "UofA",
          "Valero Texas Open",
          "Vancouver and Calgary",
          "Wednesday and Thursday",
          "William Nylander",
          "Wishing Sophie",
          "Youngblood",
          "amari cooper",
          "audrey gagnon",
          "big six",
          "canada and the u.s.",
          "covid-19 in sask",
          "fast 9",
          "fav non-hab",
          "hedman",
          "mccaw",
          "nathan mackinnon",
          "santé canada",
          "wheel of fortune",
          "Éric Salvail"
         ],
         "type": "nominal"
        },
        "y": {
         "field": "sum",
         "type": "quantitative"
        }
       },
       "mark": {
        "color": "#F68518",
        "type": "bar"
       }
      },
      "image/png": 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o0KAQVfPYygG5H5i2Lzt8XS4m/eeJCx5NP1lnioAIiIAIiIAIiMAxQgDTdrXLX1s0koHX0572tPDTf7Og+IIFCypx/fr165Qhdg4dOrRyTPhR69iwX98iIAIiIAIiIAIiIAJdS6CtgmT1rQwbNsyxKYiACIiACIiACIiACPR8Am2ZbNPzsegOREAEREAEREAEREAEGhGQINmIkPaLgAiIgAiIgAiIgAgUEpAgWYhFkSIgAiIgAiIgAiIgAo0ISJBsREj7RUAEREAEREAEREAECglIkCzEokgREAEREAEREAEREIFGBCRINiKk/SIgAiIgAiIgAiIgAoUEJEgWYlGkCIiACIiACIiACIhAIwISJBsR0n4REAEREAEREAEREIFCAhIkC7EoUgREQAREQAREQAREoBEBCZKNCGm/CIiACIiACIiACIhAIQEJkoVYFCkCIiACIiACIiACItCIgATJRoS0XwREQAREQAREQAREoJCABMlCLIoUAREQAREQAREQARFoRECCZCNC2i8CIiACIiACIiACIlBIQIJkIRZFioAIiIAIiIAIiIAINCIgQbIRIe0XAREQAREQAREQAREoJCBBshCLIkVABERABERABERABBoRkCDZiJD2i4AIiIAIiIAIiIAIFBKQIFmIRZEiIAIiIAIiIAIiIAKNCEiQbERI+0VABERABERABERABAoJSJAsxKJIERABERABERABERCBRgQkSDYipP0iIAIiIAIiIAIiIAKFBCRIFmJRpAiIgAiIgAiIgAiIQCMCEiQbEdJ+ERABERABERABERCBQgISJAuxKFIEREAEREAEREAERKARAQmSjQhpvwiIgAiIgAiIgAiIQCGBoy5I7t69u1PG9u/f7w4cONApvujYTgcpQgREQAREQAREQAREoEsItE2QnDp1qnv1q1/tZs6c6TeEw3xYv369Gz9+vJs1a5YbN26cW7dunTt06JCbO3eumzZtmps8ebKbM2eOO3LkiCs6Np+WfouACIiACIiACIiACHQ9gX7tuuQjjzziVq9e7bIsc8cdd1yny8yfP98tXrzYC5nLly93/F+0aJHbvHmz27Rpkz9+9OjRbtWqVT6++ljSVhABERABERABERABETh6BNqikdyxY4f7xS9+4Z75zGe6U045xX384x/vdIdbtmxxEydO9PGjRo1y/M/HsaMoPsR1SlARIiACIiACIiACIiACXUqgLYLk3r173SWXXOIFw69//evu/e9/v/v5z3/e4cb27Nnj+vfv7+MGDx7s+vbt6/Jx7CiKD3EdEtMfERABERABERABERCBLifQFtP28OHD3Sc/+Ul3/PHHu2c/+9luypQp7tvf/rYXLsMdTpgwwW3fvt1xLBpM/CSJW7lyZTikQ3z1seGgNWvWuLVr14a/pX9v3bq19DSVoAiIgAiIgAiIgAgcCwTaIkjedddd7vLLL3f333+/Y6b1fffd55YuXeo1jsQhWE6aNMmtWLHCnX322W7ZsmXezE3cxo0b3c6dO70QuWHDBjd27NjCYwN8JvWw5cOSJUvyf1v6PXLkyJbO18kiIAIiIAIiIAIicCwQKFKutUWQZLb2jTfe6GdlMxP7He94h/eVZGb2jBkz3K5du9y8efPc9OnTvYA5cOBAPzN7yJAhbvbs2W7MmDFu3759buHChd68XXTssVAgugcREAEREAEREAER6MkE+tis6qxdN/DEE094QTD4QuI7eemllzpmaRMQMrdt2+ZGjBjh+vTpU8nG448/7gYMGOAGDRpUiat1bOWA3A80kpcdvi4Xk/7zxAWPpp+sM0VABERABERABETgGCGARrLaUtsWjWTgdfLJJ4ef/hsz94IFCypx/fr165Qhdg4dOrRyTPhR69iwX98iIAIiIAIiIAIiIAJdS6CtgmT1rQwbNsyxKYiACIiACIiACIiACPR8Am1Z/qfnY9EdiIAIiIAIiIAIiIAINCIgQbIRIe0XAREQAREQAREQAREoJCBBshCLIkVABERABERABERABBoRkCDZiJD2i4AIiIAIiIAIiIAIFBKQIFmIRZEiIAIiIAIiIAIiIAKNCEiQbERI+0VABERABERABERABAoJSJAsxKJIERABERABERABERCBRgQkSDYipP0iIAIiIAIiIAIiIAKFBCRIFmJRpAiIgAiIgAiIgAiIQCMCEiQbEdJ+ERABERABERABERCBQgISJAuxKFIEREAEREAEREAERKARAQmSjQhpvwiIgAiIgAiIgAiIQCEBCZKFWBQpAiIgAiIgAiIgAiLQiIAEyUaEtF8EREAEREAEREAERKCQgATJQiyKFAEREAEREAEREAERaERAgmQjQtovAiIgAiIgAiIgAiJQSECCZCEWRYqACIiACIiACIiACDQiIEGyESHtFwEREAEREAEREAERKCQgQbIQiyJFQAREQAREQAREQAQaEZAg2YiQ9ouACIiACIiACIiACBQS6FcYWxC5c+dO96Mf/cgdPnzY7+3Tp48bNmyYO/XUUwuOVpQIiIAIiIAIiIAIiMCxTqApQfK+++5zU6ZMcb/5zW868Hj3u9/tPvKRj3SI0x8REAEREAEREAEREIHeQaApQfK2227zQuTb3/52d8opp1TIvPSlL6381g8REAEREAEREAEREIHeRaApQfK0005z/fr1c1dffbV7znOe07sI6W5FQAREQAREQAREQAQKCTQ12ebCCy90J598sjv99NPdmWeeWdluuOGGwkQVKQIiIAIiIAIiIAIicOwTaEojecstt7hf/OIX7ulPf7r75S9/WaGyf//+ym/9EAEREAEREAEREAER6F0EmhIkmal93HHHuZ/+9KfuWc96Vu8ipLsVAREQAREQAREQAREoJNCUIPmSl7zEsdzPBz/4QTd+/PhKQpi6zz777Mr/oh+/+tWv/JJBgwYNKtrtdu/e7Z7xjGd02Iemk+sNGDCgQ3zRsR0O0B8REAEREAEREAEREIEuI9CUj+S9997rDh065K677jr3lre8pbLdfvvtdTN64MABN336dPeJT3yi03Hr16/3QumsWbPcuHHj3Lp16/w15s6d66ZNm+YmT57s5syZ444cOeKKju2UoCJEQAREQAREQAREQAS6lEBTGsnXve51bvTo0Z0yNmLEiE5x+Ygrrriik7Yx7J8/f75bvHixmzlzplu+fLnj/6JFi9zmzZvdpk2b/GFcc9WqVT6++tjVq1eHpPQtAiIgAiIgAiIgAiJwFAg0JUhiUmayTXV49rOfXR1V+f/Vr37Vm6fRSGZZVokPP7Zs2eImTpzo/44aNcrxPx/HjqL4EBfS0bcIiIAIiIAIiIAIiMDRIdCUIHn33Xe7yy+/vFMOebPNi1/84k7xDz30kPvQhz7kTdIf/ehHO+0nYs+ePa5///5+3+DBg13fvn07xLGjKD7E+RPtY82aNW7t2rXhb+nfW7duLT1NJSgCIiACIiACIiACxwKBpgRJTNtjxozx94t28bvf/a679tprvf9jEYTPfe5z7rHHHnPnnnuue/TRR71Gktnel112WeXwCRMmuO3bt7vhw4e7HTt2eD9J4lauXFk5Jh9ffWw4aOrUqY4tH5YsWZL/29LvkSNHtnS+ThYBERABERABERCBY4FAkXKtKUHy1FNPdWwhXHDBBe7mm292d9xxh+N3dXjPe97jmDRD+MxnPuMn0Vx88cVe43j//ff793ZPmjTJrVixws/6XrZsmTdzE7dx40a3c+dOL1xu2LDBjR071hUdW31N/RcBERABERABERABEehaAk0Jknfeeaf7whe+UMnZk08+6R555BF30kknVeLyP4YOHerYCHwfPHjQvxmHmdkzZsxwu3btcvPmzfMazaVLl7qBAwd6M/iQIUPc7NmzvfZz3759buHChd68XXRs/nr6LQIiIAIiIAIiIAIi0PUEmhIkmQTzta99rZK7E044wZ1zzjnune98ZyWu1o/3ve99lV2sO3n++ef7/5jKH374Ybdt2zbH7G/WjSRcf/31bsGCBX4NybD2ZK1j/Qn6EAEREAEREAEREAEROCoE+pjPY+cp1VVZYS1H1pEMgUkyQfALcc18o8V86qmnOixq3sx5scfgI3nZ4etiTys8/sQFjxbGK1IEREAEREAEREAEehMBfCSr5440tSA5r0hk9vUXv/hF9+Uvf9mbq1//+tf7CTUxAIcNG9Z2ITImPzpWBERABERABERABEQgnUBTgiSTYjBRo0288sor/dW++c1vuttuuy39yjpTBERABERABERABESgRxNoSpBkrUaW5sHHkRnVV199tX8jDW+dURABERABERABERABEeidBJoSJHlV4RNPPOE+8pGPeN9I/t9zzz3utNNO653UdNciIAIiIAIiIAIiIAKuKUHywgsv9Ev0fOtb33Kvec1rHGtB8srE1772tUIoAiIgAiIgAiIgAiLQSwk0tfwP6zv++Mc/dvfdd59fHBxBkgXGeSuNggiIgAiIgAiIgAiIQO8k0JQgCZrjjjvOnXnmmZ7SC1/4wt5JS3ctAiIgAiIgAiIgAiJQIdCUabtytH6IgAiIgAiIgAiIgAiIwO8ISJBUVRABERABERABERABEUgiIEEyCZtOEgEREAEREAEREAERkCCpOiACIiACIiACIiACIpBEQIJkEjadJAIiIAIiIAIiIAIiIEFSdUAEREAEREAEREAERCCJgATJJGw6SQREQAREQAREQAREQIKk6oAIiIAIiIAIiIAIiEASAQmSSdh0kgiIgAiIgAiIgAiIgARJ1QEREAEREAEREAEREIEkAhIkk7DpJBEQAREQAREQAREQAQmSqgMiIAIiIAIiIAIiIAJJBCRIJmHTSSIgAiIgAiIgAiIgAv2EoDkCB269qLkDGxw14M1fa3CEdouACIiACIiACIhAzyAgQbLJcjqybV2TR+owERABERABERABEegdBGTa7h3lrLsUAREQAREQAREQgdIJSJAsHakSFAEREAEREAEREIHeQUCCZO8oZ92lCIiACIiACIiACJROQIJk6UiVoAiIgAiIgAiIgAj0DgISJHtHOesuRUAEREAEREAERKB0Am0VJHfv3u0OHjxYN9McUx3279/vDhw4UB3tio7tdJAiREAEREAEREAEREAEuoRAWwTJvXv3upe//OXuwgsvdBdddJF717ve1elm1q9f78aPH+9mzZrlxo0b59atW+cOHTrk5s6d66ZNm+YmT57s5syZ444cOeKKju2UoCJEQAREQAREQAREQAS6lEBbBMnvfve77vnPf7779re/7b70pS+5z372s+6JJ57ocGPz5893ixcvdnfddZe76qqrHP/vuecet3nzZrdx40Z37733+v+rVq3y+6qP7ZCY/oiACIiACIiACIiACHQ5gbYsSI42ku2OO+5wN910k9cwnnzyyR1ubsuWLW7ixIk+btSoUY7/+Th2FMWHuA6J6Y8IiIAIiIAIiIAIiECXE2iLRjLcBabq448/3j344IPukUceCdH+e8+ePa5///7+9+DBg13fvn1dPo4dRfEhzp+oDxEQAREQAREQAREQgaNGoC0ayTVr1rg+ffq4N7zhDX4788wz3d133+0uueSSyo1OmDDBbd++3Q0fPtzt2LHD+0kSt3Llysox+fjqY8NBXGvt2rXhb+nfW7du9Wk+t6SUQ3olJadkREAEREAEREAEROCoEWiLIPnkk0+666+/3t15551eoHzsscfcpEmTvMbx/vvvd1OmTPH/V6xY4c4++2y3bNkyb+bmGPwjd+7c6YXLDRs2uLFjxxYeG4hNnTrVseXDkiVL8n9b+j1y5Eh//r6WUvm/k0N6/xejXyIgAiIgAiIgAiLQ/QkUKcPaIki+4hWvcDfffLMbMWKE69evn3vta1/rXvjCF/qZ2TNmzHC7du1y8+bNc9OnT3dLly51AwcO9DOzhwwZ4mbPnu3GjBnj9u3b5xYuXOjN20XHdn/cyqEIiIAIiIAIiIAIHNsE2iJIIhh+4xvfcGgmTzrpJHfiiSd6iqeffro7//zz/W+ExYcfftht27bNC5yYwgloMhcsWOAGDBjgBg0aVPdYv1MfIiACIiACIiACIiACR4VAWwTJcCdoGPOBBcUREkNAW1lk6h06dGg4pPJd69jKAfohAiIgAiIgAiIgAiLQpQTaKkhW38mwYcMcm4IIiIAIiIAIiIAIiEDPJ9DW5X96Ph7dgQiIgAiIgAiIgAiIQC0CEiRrkVG8CIiACIiACIiACIhAXQISJOvi0U4REAEREAEREAEREIFaBCRI1iKjeBEQAREQAREQAREQgboEJEjWxaOdIiACIiACIiACIiACtQhIkKxFRvEiIAIiIAIiIAIiIAJ1CUiQrItHO0VABERABERABERABGoRkCBZi4ziRUAEREAEREAEREAE6hKQIFkXj3aKgAiIgAiIgAiIgAjUIiBBshYZxYuACIiACIiACIiACNQlIEGyLh7tFAEREAEREAEREAERqEVAgmQtMooXAREQAREQAREQARGoS0CCZF082ikCIiACIiACIiACIlCLgATJWmQULwIiIAIiIAIiIAIiUJeABMm6eLRTBERABERABERABESgFgEJkrXIKF4EREAEREAEREAERKAuAQmSdfFopwiIgAiIgAiIgAiIQC0CEiRrkVG8CIiACIiACIiACIhAXQISJOvi0U4REAEREAEREAEREIFaBCRI1iKjeBEQAREQAREQAREQgboEJEjWxaOdIiACIiACIiACIiACtQhIkKxFRvEiIAIiIAIiIAIiIAJ1CUiQrItHO0VABERABERABERABGoRkCBZi4ziRUAEREAEREAEREAE6hKQIFkXj3aKgAiIgAiIgAiIgAjUIiBBshYZxYuACIiACIiACIiACNQlIEGyLh7tFAEREAEREAEREAERqEWgrYLkr3/9a8dWL+zevbvT7v3797sDBw50ii86ttNBihABERABERABERABEegSAm0RJH/729+617/+9e68885zl1xyif+9b9++Dje0fv16N378eDdr1iw3btw4t27dOnfo0CE3d+5cN23aNDd58mQ3Z84cd+TIEVd0bIfE9EcEREAEREAEREAERKDLCbRFkPzOd77jtm/f7r73ve+52267zT3++OPu9ttv73Bz8+fPd4sXL3Z33XWXu+qqqxz/77nnHrd582a3ceNGd++99/r/q1at8vuqj+2QmP6IgAiIgAiIgAiIgAh0OYF+7bgimshvfetbPumf/OQn7gc/+IGbMmVKh0tt2bLFTZw40ceNGjXK8T8fx46i+BDXIbEe+Ofgqg+Vkuv+5y0oJR0lIgIiIAIiIAIiIAKxBNoiSPbv39+xLVu2zF1xxRVeozhy5MgOeduzZ48/hsjBgwe7vn37unxcrfhwbEhszZo1bu3ateFv6d9bt271aT63pJQr6a37ZCkpbv+Di0tJR4mIgAiIgAiIgAiIQCyBtgiSZOL973+/N2ffeeed7iUveUmnfE2YMMGbv4cPH+527Njh/SSJW7lyZeXYfDym8vyx4aCpU6c6tnxYsmRJ/m9Lv4MA3NHDMz3JdqWXniOdKQIiIAIiIAIiIAKNCQRlWP7ItvhIfv/733c33XSTn0CTFyLROAbt4aRJk9yKFSvc4cOHveYSMzdx+Efu3LnTPfTQQ27Dhg1u7NixPr762PxN6LcIiIAIiIAIiIAIiEDXE2iLRpJZ1k8++aR71rOeVbmjG2+80Z1xxhluxowZbteuXW7evHlu+vTpbunSpW7gwIF+ZvaQIUPc7Nmz3ZgxYxyzvBcuXOjN3kXHVhLWD0/g0H/9Qykk+p01t5R0lIgIiIAIiIAIiMCxT6AtguTb3vY2x1Yd9u7d684//3wfjbD48MMPu23btrkRI0a4Pn36+Pjrr7/eLViwwA0YMMANGjSo7rHV6ffm/wdXvq+U25cgWQpGJSICIiACIiACvYJAWwTJWuRYUBwhMYR+/fq54DMY4vgeOnRo/q//XevYTgcqQgREQAREQAREQAREoEsIdKkgOWzYMMemIAIiIAIiIAIiIAIi0PMJtGWyTc/HojsQAREQAREQAREQARFoRECCZCNC2i8CIiACIiACIiACIlBIQIJkIRZFioAIiIAIiIAIiIAINCIgQbIRIe0XAREQAREQAREQAREoJCBBshCLIkVABERABERABERABBoRkCDZiJD2i4AIiIAIiIAIiIAIFBKQIFmIRZEiIAIiIAIiIAIiIAKNCEiQbERI+0VABERABERABERABAoJSJAsxKJIERABERABERABERCBRgQkSDYipP0iIAIiIAIiIAIiIAKFBLr0FYmFOVBktySw/4YzSsnXCZfdV0o6SkQEREAEREAERKD7EZAg2f3KpFvkKNv7eLfIhzIhAiIgAiIgAiLQfQnItN19y0Y5EwEREAEREAEREIFuTUCCZLcuHmVOBERABERABERABLovAQmS3bdslDMREAEREAEREAER6NYE5CPZrYvn2MncwXs+VsrN9D/3ylLSUSIiIAIiIAIiIAKtE5Ag2TpDpdAEgUP3/H0TRzU+RIJkY0Y6QgREQAREQAS6ioBM211FWtcRAREQAREQAREQgWOMgATJY6xAdTsiIAIiIAIiIAIi0FUEZNruKtK6TqkEDtx6USnpDXjz10pJR4mIgAiIgAiIQG8kIEGyN5b6MXDPR7atOwbuQrcgAiIgAiIgAj2bgEzbPbv8lHsREAEREAEREAEROGoEJEgeNfS6sAiIgAiIgAiIgAj0bAIybffs8lPuSyKw70PPLSWlExc8Wko6SkQEREAEREAEegIBaSR7QikpjyIgAiIgAiIgAiLQDQlIkOyGhaIsiYAIiIAIiIAIiEBPINB2QfKpp56qy2H37t2d9u/fv98dOHCgU3zRsZ0OUoQIiIAIiIAIiIAIiECXEGibIPnDH/7Q3Xjjje6cc84pvJH169e78ePHu1mzZrlx48a5devWuUOHDrm5c+e6adOmucmTJ7s5c+a4I0eOuKJjCxNVpAiIgAiIgAiIgAiIQJcRaNtkm6985Svu/vvvr3kj8+fPd4sXL3YzZ850y5cvd/xftGiR27x5s9u0aZM/b/To0W7VqlU+vvrY1atX10xbO0RABERABERABERABNpPoG0aSYTCBQsW1LyDLVu2uIkTJ/r9o0aNcvzPx7GjKD7E1UxYO0RABERABERABERABLqEQNsEyUa537Nnj+vfv78/bPDgwa5v374uH8eOovgQ1yh97RcBERABERABERABEWgvgbaZthtle8KECW779u1u+PDhbseOHd5PkriVK1dWTs3HVx8bDlqzZo1bu3Zt+Fv699atW32a5awy6JzSa62Iegq/1u5SZ4uACIiACIhAzyDQpYIkGkf8JqdMmeImTZrkVqxY4c4++2y3bNkyb+YmbuPGjW7nzp1euNywYYMbO3Zs4bEB79SpUx1bPixZsiT/t6XfI0eO9OfvaymV/ztZ6f0fi5RfPYXfoc1fSrm9Tuf0m/TnneIUIQIiIAIiIAJHg0BQ5uSv3XZBsk+fPpXrPfDAA27GjBlu165dbt68eW769Olu6dKlbuDAgX5m9pAhQ9zs2bPdmDFj3L59+9zChQu9ebvo2Eqi+iEC3ZDAwRXvKSVXEiRLwahEREAEREAE2kSgrYLkWWed5VgGKITTTz/dnX/++f4vwuLDDz/stm3b5kaMGOGCwHn99df7SToDBgxwgwYNqntsSFffIiACIiACIiACIiACXU+grYJk9e2woHh+Jne/fv1cMFXmjx06dGj+r/9d69hOBypCBERABERABERABESgSwh0qSA5bNgwx6YgAiIgAiIgAiIgAiLQ8wkcteV/ej463YEIiIAIiIAIiIAI9G4CEiR7d/nr7kVABERABERABEQgmUCXmraTc6kTRaCXE8h2bimFQJ9njSolHSUiAiIgAiIgAhCQIKl6IAI9gMD+m84tJZcnLnjUp7P/ky8qJb0T3rWplHSUiAiIgAiIQM8kIEGyZ5abci0CLRHIfvW/AmVLiehkERABERCBXk9APpK9vgoIgAiIgAiIgAiIgAikEZBGMo2bzhIBEcgR2H/DGbl/6T9PuOw+f/KBL1yQnkjuzAGX/Fvun36KgAiIgAiUTUCCZNlElZ4I9EIC2d7HS73rI78o1/dy/+dfXkr+Tvirb5WSjhIRAREQgWOFgATJY6UkdR8iIAI1CWRP/E/NfSk79n18bMppnc458fIHfVy25+FO+1Ii+vze8JTTdI4IiIAIJBOQIJmMTieKgAj0WgL7nyr11vff+OJS0guz8ktJTImIgAiIQBMENNmmCUg6RAREQAREQAREQAREoDMBCZKdmShGBERABERABERABESgCQIybTcBSYeIgAiIQI8icHBfOdntf2I56SgVERCBY5aABMljtmh1YyIgAr2VwL6Pjizl1is+l79+spT03MAh5aSjVERABLoNAQmS3aYolBEREAER6J4E9l1/eikZC4Lp/k+fU0p6J7zjuz6dbM8jpaTX5/eG/W86h39bSnruuOPLSUepiEA3JiBBshsXjrImAiIgAscigeypbaXe1v4bzyolvSDo7ltySqnpHXnk3lLS6zvsTJ9O9tj9paTX5zkTS0lHifRuAhIke3f56+5FQAREQATaTODAsteUcoUg6O6/+RWlpnfgKxeXkt6AN321lHSUSM8iIEGyZ5WXcisCIiACIiACpRI48tPvlJregZtfVUp6A+b8h0/n0NrrSkmv35S/KSUdJdKRgATJjjz0TwREQAREQAREoAUCRx77fgtndz714HeWdI5MiAmC5P7PTkk4u/MpJ7xtbefIXhgjQbIXFrpuWQREQAREQAR6K4Fs19ZSb33f359WSnonXvGjUtLp6kQkSHY1cV1PBERABERABETg2CFw4Fel3kvZrgG//Zd3lJK/41/76cJ0JEgWYlGkCIiACIiACIiACHQ9gbJdAw7/99fLuYkagqRekVgOXqUiAiIgAiIgAiIgAr2OgATJXlfkumEREAEREAEREAERKIeABMlyOCoVERABERABERABEeh1BCRI9roi1w2LgAiIgAiIgAiIQDkEJEiWw1GpiIAIiIAIiIAIiECvI9CjBMndu3f3ugLSDYuACIiACIiACIhAdyXQIwTJ9evXu/Hjx7tZs2a5cePGuXXr1nVXnsqXCIiACIiACIiACPQaAj1CkJw/f75bvHixu+uuu9xVV13l+K8gAiIgAiIgAiIgAiJwdAn0CEFyy5YtbuLEiZ7UqFGjHP8VREAEREAEREAEREAEji6BPpmFo5uFxld/+tOf7h588EE3fPhw96Mf/cj94R/+oXv44Yf9iWvWrHFr13Z8cXr//v3dwYMHGyesI0RABERABERABERABJoigHvhjBkzOh6LINndw0te8pLM/CJ9Nk1ozP74j/+4lCx/+MMfLiWdkIjSCyTSvsUvjVs4S/wCibRv8UvjFs4Sv0Ai7Vv80riFs8QvkEj7boVfjzBtT5o0ya1YscIdPnzYLVu2rGLm7igS658IiIAIiIAIiIAIiEBXEujXlRdLvda8efPc9OnT3dKlS93AgQMds7gVREAEREAEREAEREAEji6BHiFIjhkzxvtEbtu2zY0YMcL16dPn6FLT1UVABERABERABERABNxxCy30BA59+/Z1gwcPLlWIRDANs8HLYvAHf/AHZSXl01F6reEUP/GLIaD6EkOr87Hi15lJTIz4xdDqfKz4dWYSE5PKr0fM2o4BoWNFQAREQAREQAREQAS6hkCPmGxTNooDBw64xx57rNRkw3JD//M//9NyumXmb/Pmze72229vOU8st3Trrbe2nE51Alu3bnXf/va3nc0zq94V/f8///M/3b59+6LPq3cC9/2b3/ymwyH//u//7iijVsKOHTu8u0ar6fziF79w3/ve9zpkZeXKlS1xKLP+dchYiX/K4ldiljokVWb+yiyPn/70p/55O3LkSIf8tvqnrPstq70K99Pdn9+Qz7K+21W+3T1/ZdW/cJ9l9uekWVb+2tHeh3tu6TttonjPPIulg04//fTsuOOOQ2rJnv3sZ2cve9nLsvvvvz/5hn77299mL37xi7M77rgj+5M/+ZPsOc95TnbeeeclpdeO/Jlgm/3+7/9+9stf/jIpT+EkW68zs/U7w9/Svn/wgx9kY8eOzU499dTsmmuuyUywTE570KBB2RlnnJE98MADyWlUn/jNb34ze/nLX56ZgJo9+eST2Z/+6Z9mz3rWs7Jf//rX1Yc29d868Owv/uIvshNOOCF7xStekb3hDW/IPvCBDzR1bvVBN910U/a6170uO+uss7Irr7zSb1dccUX2zGc+M9u+fXv14Q3/t6P+PfXUU9n555+fmVtK9rSnPa2y7d69u2F+ig4okx/pd+f8taM8vv/972ennXZaZmvyZu95z3taavvgV3Z5lNVekTdCd35+yd93v/vdzNZJzmi7nvGMZ/hvfk+YMCH7yle+wiFRoYzy/dWvfpX93d/9XYeN/o24D33oQ9kTTzzh2+qojP3u4DLyl79u2fWvzP6cfJaZv7Lb+8Dxoosu8nWvlfa5V2kk//qv/9r97d/+rV/U/M/+7M+cdbrune98pzPBL1nDhLZv5MiR7txzz3VoghgRsiA6mrbY0I78WYft9u7d65773Oc6a5y8Tyh+ocTFBkZpu3btKtysUsYm548nL2hx/+Vf/sXZQ+wXmzfh3u3fvz86PSZhffCDH3Svf/3r3dvf/nb34x//ODqN6hNMiPTvdydPLMRK2f7whz909tBVH9rU/+985zuOjQX2CZ/73OfcJz/5ycoC+00l8ruDfu/3fs/7DZOXk08+2W9Dhw51t9xyi1+8PyYtjm1H/WPZLrT/Jty7xx9/vLKR95RQJj+u353z147ysIG0e+ihh9y//du/ueOPP9699rWvdTYQ8fUwRZtfdnmU2V5Rvt35+SV/vGSDZ9YENffzn//c3XzzzQ4/tU9/+tPukksu8Zosjms2lFG+pmhxQ4YM6bChUbOBjfunf/on3zb/5Cc/aTZLHY4rI3/5BMuuf2X25+SzzPyV3d6TP147bQMH3x+hvQ8bL4GJCT1i1nbMDdU69tChQ47JNRdffLEzbZAzTZCzEZ9/bzcPL8IM61XGBiYAsSTR8uXL/RJFpP3II4/4a8Sk1a78ITwWLZeUIgjdc889zrRxhbdFB5AqHCCgImzQWNGZ0cGlhsmTJ7t7773XfeITn3BTpkxxo0ePdgiBV199dVS6rFmK0Ex43/ve5wccNrp0S5Ys8WZ4BOeU1QO4V/J44okn+rSpP3QcphmLFv6ow6961aucaUd9Z+QTTPxoV/2jk6QMTCuemLOOp5XJj5S7a/7aVR7cM6ZyhBbaQ55bymf16tXu+uuvd2adcUxsbDaUXR5ltVc94fmFMW0VSgiWtyOYhcFdddVVftBvL97wg2GznPl9zX60Wr60TW95y1v85agfpil1pjmtKEmazUet41rNXz7dsutfWf15yGNZ+YPZ2Wef7f7oj/7IK8Kq+2H6ppjnNuSP+6WMkVv4nRyCerM3fL/1rW/NLrzwwsw0QJkJjdk//uM/Zh//+MezU045JbOGOwmBFXD2mte8xpuPMf9itsRcmRLakT/yYb6D2Z//+Z9nL3zhC735M8X0y71hsjdNYeGWcr+cg2kHU+z48eMzE9IyE8JTk/LmUxP+Kudjfv7617+emdY52hT9X//1X75eUDeKtj179lSuE/MDUwfuFW9+85u9idG0DtlLX/rSmCT8sbzpyR76mhsm29jQjvpnrzT15rpXv/rVvhxMy5ax4SqQEsriF67dnfPXjvKwQWVmA77szDPPzGywldkALqDITDuZmaa88r+ZH2WXB9fkmcXliPu/9tprM9qe2NDdn99wPzwHo0aN8m3fP//zP2eXX355ZgPNzPyevZtUrAtNWeWLCdoEl8wsWb4MNmzYkJmA6+uIDUB8+xXuIea7rPyFa5Zd/8rsz8ljWfmzAUc2bdo0/4Y/G/hl1RvuCCnBhEjv5tKvX7/sec97XmWL7d961axttD5f/vKX/ehq5syZzoRK/6YcewWjN1smS+P06L/TUKFVix1Bhuu2I3/mG+nX3sSEahXFmc+QN6VigkeT2mzArIFW71vf+lazpzR1HFoRmL3oRS9q6vh6B5n/ojfRnXTSSfUOS9qH2Z28WqOfdH7+JO7XOg1v9sD0hine/KLyhzT8jcaK+lIrMGKN1Zi2o/7B7M477+yUzb/6q7+K0hDnEyiDX0ivO+evHeWBtQRT1gte8IKAwD/TaDtizVkhgTLLwwR7b2r/2Mc+5r72ta85E6y8iRc3lbKea9qw7nK/MOTeMBmbsOY1k1jNaJ+tc3c2yAyYm/ouq3zRSNog151zzjmO/tH8Ix0WKVxUcMVZsGCB+9KXvtRUnvIHlZW/fJpl1r+QrvnDe809Wr5WrSntyF/IJ9+t1GdM+dddd537/Oc/38GKasqTqP6jVwmSefhl/cYHwrRLHZJDqMQHLrVh7pBYi38QnO+++27vNxeSwifqM5/5jLNJQiGq4fejjz7qfWQwp4bAfRJiBZZwPt9l8sMU/cUvftGbeufOnets4pO/1Hvf+17HcqnBnJy/fjO/8aWFI43KgAEDfOeG/1pKME2i7zDoIEMwbbH76Ec/WslviG/m27Q1Fd9Sjv/Zz37mLr30Uj9TvzvUP/JEudBg2cQqh7kO80zMIIY0QmBmPibYv/zLv3QXXHCB91kN+2K+d+7c6eve1KlTvZ9Q9bl05vjDxgY6IGb15wPPx7Bhw7wJsxW3jXyaqb8ZEOGqgW9UCJi5//u//9vnMcQ1+qbzwjUITghAmGPzIbVNQKBi4MHzMHv2bJ9Pyujv//7vvVCTv0Yzv8u63/y1aLPwIUQg/4d/+AfHANasNflDon7jVmUa1A5++mbZShpolXW/3A/PLEoRzO02kdQLkQiSmLpN05YkSJaVvzzgMsuDPo22xayVzjSA3l0Lv873v//9+UtG/cZdhJU1MHOHwDVS2oKy+VGeb3vb27yveEv9hYHrNaGWWZb41MC55qDqN8xkX/jCF/ws7pT02pE/TFc2usiYHY35npmgNjEjaRY35hZMsgTriPzMQmYYMpssNZTJD7cFE1T8zGrzO/QzcskXM1RR4acE62Az0gomJmaVmkCamWAdnZwJUH7FABNIM0wJYbO3NWWppoktW7b4+7MllDIbWXqz5WWXXZbkqtGO+oepyDrd7F3velf2kY98JMPEzcx6a1Sj+XECJhfqG6ZP82/M/uZv/ia77777otOyCScZnHDzsIl3nTZb8ik6TU6gPKgf3CNuLsyQpv6YVse7hpjvXtPptqM8zBcyM3+8zIRxv8qEDbA8y6Yz9bsDbbKeN4NRl9lM6O6wpT5vlC+rOOB2hCnPhEq/ogP1KCWUdb/h2rTxrDBBu2CTLDP4UcbWwYdDor5tuSNfX974xjdmNvitbKn1r6z7pS1htQXuz3zNfX/Bs0IfQJmQ75RQVv7CtcsuD9pRytc0wn5VDVylaL9SVsEgj6aN9O2zDbgy3JjCdrTLN/DD1YD2iucX1zezDPottj/CJNsrAkIU09ttRFC4mRmpNA42EzmzWW1R6bUzf2bW9pWDyoJv1Fe/+tWovHEwHQdL1pgK3J/7/Oc/P/vwhz+cbdy40Quq+IKUFVL4UfFNy5WFDgcBw2Zu+yy1IkjaqLwiPIf742HDtzM2IDwhyNuMTN/x0Pmw4SfVCj8adwR6e5Vohm9YSmhX/cPvCwE/BK5Dx8vAptWAUM/SRzzTsYILguT8+fMz09Yn+2sW5R9/PgYMIVC2+DNRPxE86IybCe0qD5sU6IVvM+l7gZK8sAwVAnBKQIg3rVzKqTXPYakZBoS0NwgzthpGzWMb7Sj7fpcuXer9zMMyNlwfH3l82FKCmYe9cJFybtE5Zd4vaX3qU5+qDKKLrhcbV2b+uHbZ5UFdY4k3FDA8FwT6zNQlAulrER7LCmXzo91kUFC9xQx4ubdeI0hys0zkwNHclubp0JGnjiZJk84sTCDge9asWX7SR6yzatn5QzBB+MtvtvxK5T/Xiwn/+q//WllHklGg+StVOmDWl0wVDMrkx/qOdEIEOm40fd/4xjda0khSN9Domn9ohlBpy0f5iUGtCH4Ie6zHFjbzV8sQbGICgoD5KVU2hBfWoUM4Ih5tVmxox/OB4IR2LjRMlAtrrZo5NTZ7/nieKwQXBAyeZUb6ZkqOFsS5Puu+MsgwdwVft1knj0kFCHGpgbJFWxo0rjx/aDj4RhNIfW82tKM8sJ7gVI8AzVqF7373u/1EQTQnMYE2lHpGvTXTWKctdTJVyAMWAPKERogt9Xkr635DvsyfMbNlwDKbae3X4TS/wczcFpI1kmi6GAzRplJnqHut1L+y7hfFSvVGmbKl9G2BX1n5C+mVXR7UszImQ4b8UYepL2h2b7vttsoW2odwXLPfZfPjumVMxu01y//gm4DT7Lx58/zEhhT/J9KoDvjd5SdgsC4ijskp/gZl5s80hd4frTq/4b9VyKjleljaJ/h04F/F0josGWANi7PRefIEozL54TSM74mZUd2iRYu8fxW+Pvh3pgbqCROUrBHw/lD4zbAGX6oPmHW8joleJlx530HrML2/FUuwxAQc8Vk7MgTTiji2EFLyV2b9C/mw2fh+8gRpc4+swclEG5Y8SglM+jL3Ee8/h48e/lopgeubtsCfio8g6fKGJZZiYWksno+UyR2mvXAmOPrJLPhFcr/veMc7vM8VFzOzbdPZbUd5kCeeV+vgvI8bPn7mKlBzWa9ameW5NQ24Z0WbVx3wJ04Jtti1M02QX44Nf+QQmKRBGxQbyrrfcF3a+htuuMEv24OfNP66TGRM7U+oH6bV7TTZEx/eo3W/1A38mAmmqa70b/gk8+zxpi8m3rBUU2zo7uVBu4n/L5MhTaj07QFLyaUG3kRD+8LySTx3IZiLj59MFf43+102Pybj4gNLBWWB8QAAQABJREFUHWbtZfo6lssz036cH3uzkrCOKyaA6c4Eg+KdLcSiwUgdhde6bIqWKqSFRgnN3Jve9Cb/RiBrULxfKEt04ENTZrCZgsk+gzDLuykw8sP8njoC5L6sUfd+eSwjhMaTskkNmLJs8o9fZoXlVsgXphO0LimB+8XfzSYn+NMx52/atCklqbaeQ5mg1Y41QVdnquznDRcUXA0oC5ahsokdfrmTVqwU5Jk3SfFWFTSwBO6/zOcZDRZbbIA//oc2eSCzWdH+LSWxaTQ6vpXnl+cD7Xorz2t1/uDE/ZoA6O8Zy0wrwSa0+WXjbDJQZi9ASH52W8lDrXPLKl9M9bjv4DfHN5tNOMwWL17sGWJNSQll5S9/7TLLA9cjm9iVT967NqX4xJMIWkhM5WWFsts/TOXVpnf6I/rMmJA2bGxWfO5mxzHSQlvIcgZoG5gNyOxAA5acU9JiJq49WP7NNsyQZjPzRHSa1uD5pWBMYPP5s47NvfKVr/Sj3+jEciewbA/3iybsL2w2IFP9YwMaBkZULKbNjDbSYRYuM6OZaVlmYDRknW5Skowo81oqNHfMTuc7JZhA4bVLZqJ1lAsjN+pNSvlyfTRSvE2Ft0eQJkxJi9m+KYEFjZmBzwiXgAaW5YRS+ZEG55oJlp+lBDQ4LGPCjH/epGLrBCanW9bzhiYIDSn1GY0QM4R5GxWaFmY1p2qYbLDmNZDm7uFsMo+faYxWlvJO0RLXAkX+w9uRah1THc9yLWixTRjwbxhiGRfe1mQTIKoPbel/K88vbwmjPS6LFRpOnlc0Q8wGRzvEklupzwcaHJbEIV3aFZ4/rDOxgeceDR+ztXkRRvVmg9XYJL2Guazy/exnP+u1rdRdtK70k6tWrfL3Ck8brB7V/IWLl1UepMeKEliczN3DP/+0AWxYK1KsE6RJXeH5Qj5gxQlmmLOZYobd0aGs9i9cmGcBSwwzy8kTsoy5W/i2MRzT1HeM1NnTj2VkwGjXlojJrCH2GhIWJmf2ZmpAcjdhr9MWZvnGpIvPEj54+FHhi4J/xS233OL9EVNneeHzxSxtfLdwHkYDgy9h6qgczSQzvZg5i2NymZqDwIr8xmqurGPwi/oyAahoS9XGMgIsc7II+UTrYuZxP8ua972bOT7cevQ3ztzmrtHhPHwSU53DSYi6xnNRRjChwtc/6h1lgD8jswTR8qaEsp438sVzi18pPr4shm+de0qWOpyDHy0LTKPZoAzCxnNTZkC7a68VbTpJnieeK/jnw6233lpaWYd0U55ffGl5ztiYZMNzMWPGjEpcSntKftC+kmZ+8gST5ZiglhLoO/CFzwd86pjFHROwalA38DdE+1e9xfpJtrN87c1v/mUCH/jAB7xvLf7FaGNjQrvyV1Z5cC/0ZTy3ZU6GRJOLz3T1lmrVKqv9y5ddGZNx09Q0TYmo3esgtH34uZkavLLAKD4+rKnIhn9dzCiYEa1VPH9ukYYFH6KYgFYKfxRGLaxRRsAH0dTO3icHDRH+V7GBkTOv0eOdrgRG/Ghi8AGzBj8qOd6HjX8beUWzxmicdG1CSycfn0YJ4xuIRrMowDUlwGjZsmVeu1Q9grQHJyVJZzOMfZ2hvNHK4hNqjX8HrWdMwtQx1h3F54s6wuiPck4NaPj+3//7f/71VtRnE/Ir5ZOaZpnnscYgmhfqHcEmyXjfKp5HRtexAS3Qf/zHf8Se1ul4/BhJBw0iGgP8flkPEA0HPnpoZPI+ep0SqBFBWeJniaazOwWeDRa9py3IB1v6yPuNU69j2qyyn19eVYl/MyF85/MZ/LPzcc38RhOONo1nloDvIdr/UB+bSSN/DNpHm8nsX06Any31mPaQ+hQTWEc1+BjiN42WKt/u3XjjjVHlUXb52kDL3xt9pgm83i/chBhvfbIVO6L7orLzF1iXVR6kh9WK55bnngXxQ2BtYvo++oLYwML39On0wzCgPqa0K+G6vGjiyiuvrPiwEm+DwWgNO9rH8ExgKWLD9zW8Opn+MkYe6jWCJI0HKnkc2PPBXgHl/5ovU5Rzs400vHkXU2d140yCVJwYZ2kqMWpm80F0NvPbO7KbX5Xv5Gw0F+Wkn78/Om4W5MZh2Ebl7pprrvEVJvZNMnQcOJfzrmkW0EblT8XDrGojfkdjGFPxMM2RTlHApB/rrM+1v2CO4MHNAKfkMkLZk0UQSHFkp1HBcZ+OCDcBOruUgOBimmG/eDANHnWcyUCYUrtDwJ0CU5Fp1h0L+2Im4llMGRRxPwh81GlCGBzw7KROTqBB5XyELAZFvGUEsx3xKQHhgPI0f1r/RqnwTDABLFUYSslH9Tncj61iUPiMIkAixMQIkmU/vyx8jQCOmY1nmDpDIN8Iu7RXYTBcfW/1/vM2L9w+EDjoOHme3/Oe9zjamJSAidy0md7NBV4I4Dxr4eUHuEnECKnUN9pkJjrkB5Sxz2/Z5cuLDswf3Ltpseg8zwduM7ip2FIxzjTiUfjKzl+4eNnlUdZkyJA/vuGHEI6CCPcZ3hqEqTs24JZH+0f7yWRNAlyJo0+pVp7US5/82Nql/hAmo9Iv4RKGrEFZo+CISa/XCJIQQzhBYKwOobGvjq/3n5EFQgCFgK9bfuZ2vfPq7eNNAmaW9a8GY0SI5jCMaMJIod75RfvoJM0860ctCLbca5EGtejcfBxpUMHmzJlTiSZPvPXF1vLy2lTy22xAkEADW3Zg5BiraW2UB+6PB4zBA1o0HkK0ELCNDWhv6XyoN5QFgwVG+MzspaNvNuDvi88SnS/CGQMi3j5BoDNGu5bq59dsHpo5jjrC7GiEXIRlfJB49V1q3vAZptEjwBGhA41szKCNc3l2EVDo+PF9ZRCHJgw/wmAR4LjYgIYzPCMMJkMIeQ7/j8Y37RSdWHVACxsbip5fhNHUcuX6vI0K7Q1+yZQDgcECr3NE0EwJlDP+qrx5B79EOuBW8sgzSjqn1tBAxr6xCW0fLM2lKeX2OpxTZvkyyGezdXm9oMtvm5jRkjWgzPyFGy+7PBgkcK9YAm0pNT9Ap82nnR48eHC4bNPfpIfljXpIf0GbQD/J22RiV64gHwyGeAsVA/QQGBiFgUyIa/SN/IJVkgEhs7YRRskPdRsf+9gQ3xPGXqEbHc+0/tgOp1H2kdzRkDDSpfKhTYyR5PPpU9Fo6KhoqJqDChwzBx1A+J8/p5nfdIw4EiN0EBgFU2liBCGE8FqjeEbmaDtjBMmQbxoqhFFMsnTCISC0xXDkYUU7ytaOwGgNkycBAQSGKXUJTUP+PdikgfY0r41oJv90/giQTJagXlcH6mErHWZ1erH/mSzAZBDM7QQms7AREADJO51xK5pj6h0CIINDyiOm/vEsoQXClEW9zg8+eKaxXMRqhbg37pcOCG0O9Zf7Q5sWW76kRUAAZeBCJ0zbgFYXzaatSfm/BzT5ibDM/RYFBPHUtoX0Fi5c6F9hCEsGNAwWgjBddL1acQxWEazQ1odBEcfiBhLTVuXTZwBIu8ygNeaVsPk08r+pGwxm0DzjosJzxvOcGtCWYqrE/YM+JATzR4yqM+0qX+oFyg2UD3mFi/nY+//55ybkvei7Xfkruzxw2WLAy6CGZw7BCqUBWsAUQRLBkboS6i+86HtRBMQKkrR1WAZthQ9vuSziHBvHPdJmhbzQvlDmTErL18dG6faad23TICO01AoxZp3qNBhBY15E80KnjsCBFivWlIVJjFl8aP4YefCbQsU8wygkRXBhJMTMMfw78oIZpomY0TMdNRWOTg2f0hAQ+FCrI0jGpBfORzvFe0zhlc8fa9PFmLcRTJidXiRUhWuV9Y0/V6wgSUfG7EfqIWv38ZDCETMq2kn2xwgblCsaoOqHnfRxP2C91FQtNoIepsCUmZmBMQIB5cEM6CJtC3mnzsAxNLLh3HrfmNXoZEOgobbF2b1rRez9Yr7jvdg8W0HIxVSEIIhmrJbWKVy76BvBBcExWCj4zSAJ7XFsYHY/QhBlSl2BFb/RaleXe0zadETwp31Cg8/6o6kaP9oDmxTjZ0RT1jZRwbc3CIPNChnVeadtQkMSArOtea4D0xDfzDeCAOvi8WwhiAdhCN+/2PoSrkc/Qv5Ig28EZ1sGrTLQDMc18029wJ3p0ksv7fD888ykCvdllm+te6AOoi3Oa8ZqHZuPp69EKKsODNxC2VTva/S/zPLgntC8MrjkebPlnXz9tglHjbJRuJ/nlX6TOhJce2iv8B1PCQjwtiSTs9fN+jYhMOMaMf1luDZ9D88FiibaKvpR2mW+Y0Kv0UhSAFSQWoGlOmIFv5AW59HIYYJB+KNxpUOKCfgbosXA5wOBjNEulfjaa6+NSabTsVRYRtBh8eVOBzQZgbaHDhxTOxvaTdJmY6JSihDJpUMDj+DSaoBdrQcec8XR1NDBhwaAgIY5hKAlidV+oYVDAMBJPziBMzrnPhEy7RWR4RJH5ZuBQHChYDILwikj+xBYsJ/GEN9GBPNmAxovno0QGAAyUEoRChj8wY+OzdbIC0l6nyY0KCkBgQdzG6Z8hFOW2kFrjEATyr+ZdOGFuwPnY3IPHQaDBKwTmPRTApps8sH9ogmjw+Qa+IalBDodfMSDRgM3DepjymQ+ro9lAQsFvr50uDwX8EwRIkkPjXC+bIkjpLb1nIuAR57whWRwz0CEthEfNupTTKCc0S6j1S0jlF2+ZeQpnwYCShi00ech9GLtSX0BAGmXUR4IfGj7CExgJNDHpWjW/cm/+0C4Qx5gMMTSYgjeDLxSA207gz7aznygH84rYvL76v2mPcW9h8EbSiHuPXZwQPq9RpCk4wVYrRAr+IV00LwwoqRBxakW354gHIRjmvkO2ijyiFCFcMYIBv+FVgKdLGmh8UptjMP10TggqKDFoeLS2LMWHSOa2IC5CuGW0SQPGZWX+w7aqZTJCWin0BIUBcomRpBkNMr9FgW0TrGBB5YZ7wQaFiZpMXmA7TxzYo/JG2ngVwUj/L8Q1NAeohXhP1reVjTsNMwILGUEGmhG4zRS+REzwhu+PTGBc5hNieADLxz/MRulmhbp/GHGAIR1/EgTTRqCX2rgXARm7puA5g+XjVi/SwQq0sBKEYRI0mPiHJ0Iz02Kxoq6QUeGoIyghraUNobr0d7EBkyzaHDRtjNY541SuDWg3UgJCNwXXXSRNy0yGGLiGO0Cz3aKhpNOF0GFdgFhGesJkwxCOxObRzhxPm0AbQptWLDQIHjgc4ZCodnAAB2tJhMW8YELA0osCinCbtnl2+x9NHsc2mEGvCFQJrgHpAwESaOs8qA/C76BtDM8ewz+ES4ZLNBfxQhq1FfmPOQD/SSWRhRa9AUp5UsdwxyNZpfnt9U+nfwx+KEO0xexIgGyCGUSE3qNIElDTgeEmbjMQGVAc0iDGioGjSGq5iAcNnM9Oll7d633t0QLSUOCzxBmcipfbODBoEEm0MDTYKH5CQ0VDV7Kaxx5oBhJsswOAVMAPoP2NoAoh186V/JFwPGYgHYqhNARh//NfPOgYg4sI9Bo8NAWBeJjyjafBiNvNMRom+jEmRRDGVMeof7kj6/3m/pCQAgiIFgheLQaqIuYOsoICAI8e9SZWGG5+vpwQyAPghXPMsI0Gh1MqimBZ4IOhMkYvHKRRhVBgAlLKYFz0VQhSFHHEdgo4+rVIhqljTCKv1Z4XvPH0+mmCpJoihGqmDWKbzcaLAavKWZ88oRAhvDCAJqOlwF50ETn89zsb7ghjMIM7QuaEtqFoC1qNp1wHKY72mb8QBnQUK5MNGCgmPIMM0BDaOb5qC4bNNyxacILszaBCR0hpLR/nFt2+Yb8tOsbQYiBB+VBnxkbyioP/HtRBlHn0MrRbqF1ZoCe99dtNn9oWnndIAGh0tbR9fUunI/LSmx7H85FY4+WnXaaweTll1/uV1QJ+2O+kVVYNQDlEMocBtdoxxlsRikjTBDoFcG0QJmB9wuDssCqCWel3Lc1BJlp5TIzM1Y26zgzFjxOCVYBM1sioHKqVe7M3hyTWcdRiWvmB8dbI1rZ7AHxv1lMlnhrqJpJpsMxpu3KrBP3GyzDZuasyqvgOpzQxB97UP2i6/lDTUDKbFSYj2r42/zd/MLSDQ+MPKCs/IXLmgYjs4apwwLJpjX2ryALx8R+m0ktM+ElM81a7Kkdjoe5DYoy8mNCgX/1pWm/kupKSNgaKr/gNfWvlWCawsyEjE5J8LyYeTb5VX/WIPvyMGElM2d6/yIAExL8wv2dLhYRQVnw3NpgKeKs/zuU+mydbGYNe6fNNCTRC/aHlHnuSdM6S9/OmJkxo/60EmBnArh/QYEJUy2/qMCEPZ8eZWODQ/96w9T8mT9yp8WzzbSfmSYrKknqsWlsa25m8YpKL3+waa0zGwD7RfFpb1La5pBeO8o3pJ3/NgE/akH8cK65ZGSm/apsJqxlpsWP7t/aVR42yPIL2If88k3+zPKYj4r6bW+6y2wyVdQ5tQ42N4rM3EgyG1j5Q2gXTeDzfXqtc+rFIwuZZSgzxVNmgxB/qA0wo1+z22sm2yClowpmNM6GSZqRB/4aRaPLZqV6zJRo1NCW4CuD9oW1olI0GmhtGM3jyBxmaZLHsN5Ts3nKH4cPDpoHRvof//jHvX8U98yoJjYwemY5A0YxwUxLGtUj82bTxUzOpAbuOzj7cw1mtDFrLGaWHBoaRoGYTVDTM1pjwXRG6KkjvzLzF5hgNsG8xuQiJhnhdkDdwaQaYzph0kkwxZD2z2yhfSZpsREw+cRqnNEsM3qmfuAHy+ic0SoaWLQwKQFtEmWAZiivkaSMYyaPoQHnuag2F5EntO080ykuFixKHs6lLvL8MZGF15zGaBEx0dUz1aPtjDHfocGo9oPK86c8YrVfnE+7Qr0IPqCYyLDUsG5jTP5CXqgjPG9oYvPlySQeNJQpAXcA2k+0nZQBPpc8zzHBekRv/sOlB7MxriTUaVwssPagacrXx0Zp00bRrhcF2h7qXko7SHuH5hmXCDTsTACjLcTcHXvPIW9os8kr+QqBOp2SHm0qZRGsWyE9LCswjrXwYYUibyEvaL24/5iyIA/1yoP98AzX4H+zATcXyhItNpYefJGDC0izaVQfh2aSdh4XrlYD2n/mUoTlsUgPNydWK6F+xwbKkfadZxXNK+4tWHnoT2L49SpBMg85CJX2qj+/fAgNd0pDyqryCFaYKjFRYN5gmj6LY8c+ZEz4wbTG0j+hI0f4w48L00xKoPLSiFL5qBh07PhNYs6KEVzy12YiQfVyPZgWo1ThliCVGP++asEUB/mUsuABQOBAWEPlj7CMDxN5QyCPDWXnL1wfPxTKlQYVcw5mVYTWmICpD3NQrYB5lY6t2c4cgQB/QxqQvACFAIigAItgUq51zaJ43svOLHXex54XfPK/i86rjmMSG75yDDDya6bRSOMQT3xK/hCk6CQRLMgjAj5sES5jQliOqdY5TEhJ9curlWZKPBzx6UY4oEwZEFJHeA5TfC7p0BDwYVdGYOBLOSMM4caAyR1hJrY8EMiYjEYwLV2nTpEBZ+xAK9wfA1Ta+RBoD1PffIIrDm5BwQyKOwSCM+nH+FqGvPAc4KPP85UX7HF1ara9R5BnIEqgjvD8MqAk0DbjakU8/tixAQGZyWPUQSbNBbec2HTyxzOJhRcekGeUQgyEEU5TA/dGeTLoOM/81xmIMCktNZQpSFI2DJxxYULoY/ISdQXFWEr7xz2xTBuKCXx+KWvKhDY/JvQaH8k8FAQNHmD8IBghIWSkNvL42+BsjnYI4ZQZuQilsaNTGgBey4ZmKjjQoqniwaATShUkaSxpVMLogv9URvxBwnXybBr95qFAe8E95xumWH4IKHRANPY06viD5gOO9jEdGx05/lQIROE8GmjKFsEclrHCC87H+Gqh0WSyFto6hFIe4uoRej7vjX7z1hPSwGGfhjkl0PnX08DBFo1BszPweCbKfPNTuCdGy5QD/l+pfnikRcNGWdC58kwwGKKhR3OIZje1EaVsAyvSQLAP2vFwD818IwBhkagVyHPMM4JgW6/saPxTBCE4MokMYQMhGn9sLCqhfaiV/1rxlAPaEJ6PlPxUp8usd7RTtM8IBKTNTPDYSSzUZeoc7QwbFpkQwjXC/5hvNM+UC88eAi6DDqxQdO4pAQGFcgiBfoN6mFoeCFWUCXU6NXBPaKlD4BkJ/xnw0o4iTKcIkrTD9LsMDJjQQVuNvyDtIRxjA2WMPx/tMgIq/RPCn7mWJSkjuD59IwNq6g33iWIoVpCkngSrH/0G/XsY2HANBl4pyhKeDe4Rfgh9+P3CM7b9Q/OK9QV2KJkIYYIlbSpWpNCP+p0NPnqNIMnDgXkJDQmjbxz00WTwwDWrtSliSSO3ytYCoyFFiGQWM5Mg8lqdovOq45jEghayWrij46ShYRSYH2FWn1/rP/dJZ8GSH3SSdFDMnKu+Tq3zq+NpPFH7F60NWH1svf+YXRD++EZLWh0QgmICHQ+dR15bxfk8aGg26HhTRr+McinP4IyM0EJHzALCsYIpAjPmSrTENFTUHQRdFvyNNe3EsGn2WDov6nF1iG2k8udTrxnt4rje6mQvlnZiUEVZ88yhdcXUQ0Pfagj3mCJEcm0GZymz+WvlG61UaOCLjonthMgbWjoC98jkAgatWE3gSQcfI+iGPNFJUr7MqM4vtE/aKYIlz2peoKBc6NBinzXyR0eL6wID/CD00K58/vOf9xYZBoqxoew3nyD0UZZ03GiYSJ82m/JPCaTB/VEfU9sU3GNwIeEZ45lFu4eGONQPtIqtBNphTO2017SnKEloFxEmY18VS7vMqgMMMgmYaWlfGdSlrJ6CEEmbjKIEJRGDDvKJIBgj3MMQTWatkFI25A0LAC5fWEBTlUvkifpBW49sUdRuxfa/vUaQxJSLkMeICvNnrKBXq0IQT6VBHY6/CwVMyD94PqLBBwWX1/DlD4/VbubP5TcjGDR1CNDMyqKBj80fgiwmaBp0GhJmqueX66FjisknM/UYteGDgs9SqmYu3CudGOa66gaUkSlbquDMiJSGCqGXBxj3BTSfKYIpdQPzf/DXokxYzoV1Ab9grhBHO9BopgxW6uWbJU0QoPOBBjFFMECowI8HH1NG09RjtCX4S8UKVpg7eXd8rQaTd9PH5BGfw/D+XNoBhJcQcJ9hsBTT5tBxMeilvUI4aDXAHBNsCAgFpItrDgFBKwgK4ZhmvumsscBUh1ptWfVx1f/RYNM2ocFFS47mj7hTzcQdGyg/lATUkXy9DktvxabH8QhVZb75hDQRdmlnEMgRDnAxSQ0MzEmLAQKCchggIRTGKExo3xBquV98f/lPPW510MZzgfBIG4piAy0izzR5CwJb8N9thgH1Ftcg8ofShTzTF6e292jjsGDhJkXA0kiaDIxiygUBHLcRFDfIHvn1KBFSEd5iB630t/STuD9g0sacnxrozxG2UbxgIYt1w6u+bq/xkaTD4KGiA8FPCE0TWhJGfykNaACJMIC5COfefGOFNiGmc6NioCksGsWjvkeQyacfrt/MNw9tfhTJiA2hIeZho5Grp4VEvR7TUNGxMQrlvkkb7RyNFBscwqSRZu6PYxAmKAcaPnw9gukTkwdajqJFiZtJm4YPUwnsESjp1HjVHBrFGMGZSQ50ujRy+XUPKVfyjKkhZsTbKO/BXFvPPJpPg+ci75yf38fvWP/X/Pll1L+QHg0wGg00NjzTlAd1CN/imMC5LDPDwIrOu7q+pa7jh8aeBp/ypH7QYKM5pc2JeX6pJ+QBbSH3ikCJ1oW63GqgY0S4p5OkM8LEGPPscn1MzQjbdLgIBtWBtfJi2j/KlQlYtAMEOmDKlPagFUGa8oAlHXs+oEENQlY+vtFv6g33hqkTH2UG1JgHa70IoVF6ZU6G5FrUNyYYVQcsUjHtFe0nAhUDftpWlpihrNFU0pcgrIblx6qvVe8/dY++Av/I6v6HffSjsXURlzBcIFBMIEwi+AYNZb28FO2jrtBm0m+QFkIg7T1tDAMS8tZsvSEPTOCjjINpnPpDm89AsbrNKcpPiENeQWNLX4kmEcGPwWlMmYa0+Kb/ZU1e7otnjYFavv8N+c2fU+93r9FIUvh0aGh/6DCpJADkjQx0unTmKQE/LWZFoz1oJeDDg8avVkgd4VMB8dVgtIdQRMVDgK5+iGtdN8TTeTOq5UFgRJQPsI3R3nAuIyEmnBBoqJj9joMzo1M0OgjPRUK1P6Hgg04LMwf3is8NadJ5YF4Ivh8FpzWMYgSI/yYcmdXMZAwa09gHmI6SMsgLkVwcLScDGRrsGEGjYcYjD8BXmA6yVkh981NZ9S/kiwEQwgZWBXzo0ALS+fDs0Fk2G6izCxcu9KZxNMWtasTDdfFRY3BKo48GB25oJmIFcbRJmO2pFwz88IkivwipCJVMVkgZeKA9xC0jCD5oWrAm1Gt7wr3lvzE/82zxjJGf6kCnGxMYkKO9poOkQ0PrTEdcLQDGpMmxCAI8twTaBAQtnjNcLlLaVOoN7jJMlEPQp98gr6khWAHo1AkIHghxWD5S8hfuDesbbTw8GZjHtlfhfmjryQftK9Ye3LcQIlN9Qmn/aGvwmw4Bpjx/PDOxQiRp4GpFf04fyqSiVsqDcqUusrZvCPR5p/5OI059YmDYTOAeaQ94tvKrnDAYjO0vER7Ds0C/iLsH/WRqudL/hjqHoIsQj5WHdiWl/+3bDJBj4Rh8JDFl8Ror/HqocIxWeWBpEKksKSGY7migWgk8sKiaa21ojFIClZiJIYweqbzM8KJBgEFKQLNCRaZhoVHgm4cfNT1LHMQETFj4beHIzSgSMxtaP4Q10o0NPOyh86UDZtTFaJU3W6QGhFuEAYQWHlomJtDQpwTKGC1G9caDmxIQ7GkEigJarBg/KxoqGslaW2oey65/+Fbh1xOeB37DNeWtJ3BD61WGli+UAYMCBg10bGgP6NwQutDgpQQ6cTTs1Gs0QWgy0OZQXikBVxI6i+D4j5kWf60iLVa99Hn2EWpZvYFBIMIzG0IW2iGEhZiAtp72mOcVFwDaAAYM+A4y8Y5yTgmYPsOEG8oFywAD6ZT2hesjgFKmwV0DlxQE39RAW0q7HAYF/Kd9pu1KCbQtCM60owwaGFyheab/iwlMqCQwyEArzjcD9OBfi/CWEqhrwTpE3ihz+iTKiPpUzypSdL18eSBEt1oe1F/6DvrzsPGshd/NCpHklXYFbT91mPtk0IYZGYVWSqD+IvCx8TzQF4f/Ke0z9Qx3N7TqaJxRJCAr4Fsc/XyYANUrgvkHZdYJFd6r+WpkNgop3Nco0gois9GB36ziZNYI+s0qXqNTO+w3zY1fANoepsJvq9wdjm/2jzWcmTXImXXofoFjE4wy7tdGXs0m0eE4zjMBpcKLhUytQcisAfMLo5pJr8Pxtf6QHxPwMhsxZ6ZpyaxDyuxhqHV4w3gTgHz5UsZFmzUGDdMoOsA6DL/gtZl1MtOCZdQjNnuQiw6vGQcna+hqbtZI1Dy31g4zjfjFvq2BqnVI0/HW0GWmsW76+GYPLLv+cd25c+dmNjr39cdG1pl1es1mp+5xMDAhyD9/qfWF55TFh00QyqyzzUxzk5m2Jbq+hIzC7+qrr85MMPX3bEJVZhqhsDv62waQmWnR/KLhJpRmLJBPmxXbXnFhMwFmJuhmJgj5Z8TMYf7bJilkpv2Lzls4AYZmJcpskJ+Z4JGZz1xlAeZwTOq3DV59e2iCfVISNtkhMw12h3PNWpPBMjWYIOoXOrf1gn3eTDOXmlRmlrHMNMQdXnhgQqBfcDo2UXPP8gtT26At49koI5jVKDPhqkNStNe0fzZAz3hxSEwoqzxs0Of7RfrGsFGu5tvY0ose6JfoL22g5p8zmwjln7/Y58MERr8QOYuRF22xzy/5skGL7395QYFZVlvqf9HE9Ypg2q7MRhuF92oO3RkCYUowbUjl7TE2qqr85uGLCTZibKnxrXctm4RS2psizMyWVTd0PCjm95GZr1DTDZaNJDNztPadLJ2kmYn82x1iH7Bw33T8NEL5zUwLXsA3x/3kjhyBl/ut3lLzGfJbxreZxTMb3Xphhc6Nxio1wM20IqW/+Yn8lFn/wv2ZxiYzF4PoNyCF88O3aUAyc13ITIPj64pZGDLz/ctstB4OSfrmfDab6Jb0FhoGZnSwZhLPTCOZmV9Zy3kKN8L98qwykEPoNfNq2BX9zfPBG2haDQgqtnqBr38MkHi7hi26nqUKfCE/DFAp07Ah2NPe0G6nBAZbCBjkC6GUN7WYNjwz/86U5CrnmH+fH3zYpJFKXMoPBDIGCjwb5tud2USezCw10W+OCdem7pUZzLfcKx4QvOkjaXdMy+efY+q7+ShGXa6s8jBXqszcCjpsPCcI5QiWqaGsN8c0uj4cUHo0G+h/GZCbC40XdFGU0MYgh6SEXiNI8qCaL0Zm6uAOnJDEGVWnavxIzNaEyhBW0JKY2Skzv4gO12jmj5l4/QgB4YoKHSuI1roGHSWBRs9MFBnXaSVtOkcaYwQ/85fxnZz5pGRmZs3QyIbr1cpPUTyvnzJ/Dc+QUZL5p/hX1RUd20ycOSFn5pPiG3hGrCmB+6DRo8NBQKveWtGeIqjQkdtSNpUt5QFGkKQDZjSKVtfMTpn5YfpXysVqTGFE4045oBkw00ZmJlBfZ6g7sYE6hnBfa4tNLxwPd3OF8Now6knYYvmhmTM3Ba9Bo6NA62cm6HCZ5G/u28zFmZkTvUYSrSRbbP7MLJnRCaVoqosyT33GmmCuEN6agAUmv6XWZ84zH2QviId7TblfNPZm7vMaEu7bZmwX3UZ0HM8HbV7Y0OamCpHh4rR7WGHM1cW/Vg6tbivBZpF74Q+NpPl4e21sK+mZG4QXyNHm0i/R7scEnlkzdfoNi1H4TZ2kPb3lllta6kPshQyZzYD2mmybLOf7T8o81bJQdnlUs8Kil2qxRLhDkEdIRvOHlhemqc9bdd7CfxQKWBtTgrnTZTZfIbMlwLwsRH9OOxETeo0gCRQKEmES04v55HkNJQ8b78pODWhG6NDN18o31DQKmDBjOwAqFlpRRgYIZKivbTZp1orZ0nxCM/PZ8vdJJcGEhZmNa7QSaOR58O2NO5n5Vfh7pYFOedh++tOf+saJTt18SbwwjYAVW5HD/dDQoSEwn8aWtAQMOHAzsFltmflUddpiTQkhf5gUaETpfGhUwpaiAQuCZEibwRCdiM0yjBZcQhrhOwiVDBowH8cKQnBDw1m9ISywoQFICTSYp5ipE35ox8MWyy8ILnS0mI8JDARbDZhk6SiwgISy5Ts2f+SD8qQ+I9DTEZlfY2YO8UlZpD7bGnu+PtMxVm8IDymB+6V+0A7wO2wp90uni+kPgcp8MDPzm/SDotTBb5n8qtmggUTblzJgy6eFSxOaYcqVQRH1kgENFp5WAhYT0qCdim2raHtpR6o3mzzmB3CUD+49rQTyhwUvJX9F1y2rPKrTpg7Rn7TSD3Muzwd9PPIBZuqyQ6ogyeAAly36ctoYZBcGgrH9b68SJCk8RuWMYNAcIky24m9EelQQ/CjygQaQBiE15IVKOjdb1iba7I0GlnNphBHSGBUh3NJpooGN1UqiCocbAobNlO20xY7y0UIi2CLI08GhUUOQTm2Y0TDha8Q92wxX34jSkIYt9n7RZDA4KDvQ0WJGLSPYDHev8SsjrXwasLRJD16rQcOCeSdF05xPE8ECbSfCry0Xkzwix9zEIKGMQAOPFoSBG+ZKOvRmfXxrXZ/OFzeIMgI+ggh8DCjtZQp+gEBe0QCmBlupwj8fqedXn8f9ks+yA0IlmjDah9SBRzv4cZ82mcUPZmzSjRf6qM+pARM09QWFBIIkgQEsJt+UQN/B+SgQbOZ8ZYtVbCBg4BYQNlwtrrzyygxfQvqWaj/RZvNaVv7y1yujPBBscdPIb1gGafsYGMb2H/n84QZBHbGFzn0f2mobk087/I4VJBnAMACkjkyfPj2zpdC8rJDa//YqQZLKgt9NGC3j28ND0UpA4MDPwGae+caAhhUBKVaDk88D+WO0i5kbB3YErdgRAgIkmj0CjQE+RyGQv9iGBTMvJkUaFFtEu9MWmz8eJkwuNFhsrQZ8leh0aED5rt5i7xd+mIkJmLUZhZcREMhomPDLpQEMG3UzNlD3qM8I9nREIdiCt9H1hZE3E0Qwa9C4oKlDG0Z8qwH3Ee4Xp3/MKCkBLThaSDRWPBNoXdH6EceW2gCSF0z3+AfZunnepE+HHluf0YggFNisUa9NQ+tPvohjC21Os/eO5ppJLGht8oHnEOE+tVwQnnn+W9V4hTwh8CHc2pqwXkBNvV801Axe6LjxmcM3lLpIm4NQFduRt4sfml18LEN5Uj6446ROVKOekR5WMXuzma/fWAFS3EkoEwQKW4WkpeeBdDA/0waQFzThthST3/BhpO5wjZRQVv7CtcsqD9ooXIPym61f6tvnVnzPeU4ZPDP4Q97AL5H6Hat4Cfdb6ztWkKTe2ioQvu+lT2819Jp1JG1U65e8YBFPFhglmDnHr7HFOnKsjp8SrJK4G264wS99Y8KHf0UTSxDETp+3kZp/MwvrUbKeE8trWKPq1+xiWZuUYMKUP4013cLyEkTkfzebrmn6/EKt1mH7pXCqz+MaMcE6H788gmlu/evZeGsAy5qwXAL3Hht4nRV5gyNrF5qGKTaJmsdbY+/fjlPzgIgdrBPHEjHUQZb9CIG42GCNkl+WguVlWJLIRtN+qSOWUWKR7Xz6jdK2jrf0Nz+Z2covO8VyHyy7xdJJrBmXEkxL6tcZ5Vxe58c6oyxsHAKLCIf6HuKa/WZZJzPn+M2Ec/8q1WbPDceZIF9ZS5YlZ/hvg8qw26cdU8bWsfm3u5jWoJIGP8ys75cWMo2+X3exw84m/tiAyi9vwvNn2s5KedhgM2ndQt4+w/qoYRmSkAV4xtyvDej92qAspcNbQHieY971G64bvtvFzzpgv0B6uDfKh/aZ+mkDxHD5pr95RnnTDssdUWdYINqsXMnrA1I/zGrkbMCRvNYjmadPZMkfM2E7lgIybaRf/N+Eet+3sQRSSigrf+HaZZUHryemLpcdWAOWdaZZ3o7AUl4se2QDulL7qNh8U2/ZeE5oT1kPlf6XdZxZ4ik6tCqJ9pTz8cVjNlv1SI+RJLMEU0fozHi0d1m3jAENGH5Bts5US2bxkBHSw4TNPVtDV/nNf2sEozWSjPxIp3ojLat00emFfPLN6AxHYdwN8A+ytaz8aCl/TKPfmCRYVgINHSZfAtqM1JDXSGKGx72gjIC5pAzTNj5ttn5nZWTL5KdgbkJDHquBDRofTE+MztFOMuM4aF5i7x0tM5oqXA1sXTKvfUYDHbbYdJnNau84j81GzePJHxr/WluKhpiLYfqDIYE6GXuf/kT7QFsAu2qXAtov/JyDX2c4vtlv6gXaOjTDYcvnudl0qo+j/oSNJZRwj0gJwZQazkVzgqY41oezXfwoW9wN8ClDi4j/Kq5MrQTqCFohtMVhC3UoNl004zx3tMl5q0xse8B1qRf2NjPv7oFGEuudLf7vNaiYRlNCmfnj+u0oD9xdsDDiikN/ZEqmlFv154Tl8oJ8gQYfn8u8BamZxGmT0RLzzGIpqg62bmt0miEN2hhcrnAZ4n7pn2inQ58Qjqv33WtM25icai1lwMOR6itJQ2ejLD9TGzMFQlGK2ppzg3mONO2dny0t54ITM8JQra1aoK5XSYr2kb4t1O2FX4SOVgMNEzNnaaQx9eDnU2u5pqJr0aDgxIyvJaY/JrRgQsaJPaURhRtCNz55zGgjX/wOW6qAgECEgE/ng/mTdQHZKP/YgIkXkwaBjpZJQZhoUwRJ0kCYp5HDV5CZ23RE3DedW2ygPHHJqLXFmmYpD9P0xWaj5vE8Y/j85jf8mFgTFn4pgiSdbl645/lg0hwTgmIDzxfnsvoAnQj1G/9GWxTaT0qLTY/jEQRYMQB3CszFbAhu1HNM5imBfGICRXAJGwIwAkNKwJ8M/uSNCX3Uce459nlrB79wP9wbeWMQwgxmXExSA20+zxjuBpg8wxYrOIfr405BeSC40KaELexv9ht/SNNYebM95UGdIfBctOK2VVb+8vdRZnnQ7zIZF0GPusegC19YVgJJDfRrsEQJwzfPYGygvaLfQNZgoBCWswrfse1p9fW5Twbq1D/kIdrt4NpVfWzR/14jSNIR0ciHkUGAEWbJxTZU4XwqHj5l+PTkt1ThheUQWFaCxpiGGUdYJrq0EmiU7dWQXshCO9SKzwf5wA8UrQgawNiRVfV9oLVhHUruF61afkYbFbnZddXoZJl1xsQnGlJGfvjk0bnjnxfbMCMIcX6tLfXBpcNGa1q9VWueqjkV/WfmJNr0a665xu9GUKCRYaZ0bP3jfhC8GRSEvMAM3zfKJ2Z0WpTXVuN4filHNE1FW+rzS764N2akYhFAuEcIiQ20K/Cj3uUDWl2E85SBAlpHFv2m3cJfkvaAwVXq88vkE3zeeNbQsIcNISEMYvN5b+Y3mgssAPh0o6VjhjqDkFSNGtdk0h2DQTo1lhVLDWXzC/lA6cBETXxpWRkj1T+S9PApRdtXVkCzySAVC1xZgWcvtAmtptmO/JVZHkxqo2ypz0GQ4plL9e0OvFDckEYrzwVlyqxv+nL6yfyWqhhCgLRXafp+g74yr1BDmGxWidBrBEk6Cyac0JAyG5A3APDNqJ/JI2WEFE1kuC4NOSMBtCKMPggIBpgraZhTAx0bwgYzP2n4GEnTQKc0DMzYZv3DVC1L0T2wZBCdEQ9CtRaI/zECDCNltGpo5sIsXEaDdEwx6RTlMx+HkJkiGIQ0MKsySw5TBR0vE0lSAw1TfnBEPWJwFCtYIZQiiBcF1llMWdqJtGAftCz571jBPgwE0TQXbbHphfvEbQHtN0tPtbLSAo70mDmLAk77mAlTA+0KriWtDii5PuWIIJ4PdCap9ZlBJVpTTGvBxMskv1jTO/fGguRhIw0mPjCRjLhW2tbAjwl+qQPAwIuBM4M1ex2sn1zEihgMIFIFBMqD+ozLCwzDltpeIXgHdyMGDGg62WIGR1yb+wwby8EgBIX/fKdq6MrIXygLvslLmeVBW4rWjwkyWDFZE7aVBcnJIxM1SQ+NYthiB/r0EbTRtbbUgSCCPe1BXhAN7QFtQrP1sA83aiPdXhGsQfETCkxwcf+/vTuP1SYr6gd+WESJW6Ki4p7IYEAiLmDAREAkRmFUBOISo4yKURCBoKwO24yKY9jEgRCjKEMMOkKU+cegghCJGgSFqIOIC4km6sQ9Rk1c7q8+9fNc+u33ee7b5zx93/vc555K+vbzPLf79Ok6W52qb1WFOjyTr8uzHaaTnd4/zGOZIzYaJYHncjOHq39TmRHUPAG5gam4zBlGblg5gUOAayrTxdV5JzRg6SQTnSZB+hyEAIyXUpicSmgwEpAPOBwD4pJb8bDV4aYWoC5y7IaAlQBv/AucRv130zkGVAlzU+ZQj6wdmVdYLlf5f0Oz01SWi2MgZd3wrRIHISDlMFXUnxafAbrlXo2FMvPLhva0BOYl8zL3OEEtfvAVLgTwB/rXz+bEcUkbxQ51/q8rfo/J6DhvcGwMilzPof1L54wWxxtOCLEpKIFJvuIzl1xgLghhvrz61a8u4eWezgS9zjqeFxqMEgJVOmVNy+H4EIJC5mgOLduSqh1fw5koNKQJzOeUEZqrEua2rG+YG4+va/mgP3vnaX/Wl8Nq0dWfY+HNXNOxGc8+Yoxx+uLsERaaxVWLDW+JhXvr9eacHucby1sI+HnEZiTnf9/NET1krIZQX8ynlUKAzvK0cyuFcJvOO/rj1DkutE9F3u1WCgVB0SZzCqHy2LFq/r/5dw5n8nOfRLE5yvY+6ZpN/1ujftNy124PZWsL4zYEyHSANf+FMmb62MWfrT2Btcz+MW1f47hl/iNbcFjcRta3lvFWy1ltPiBIXgSyI7PrjU5y7IRh97crMVUCqJLsSfDwULKCtO7YYmI7DtczrxMTVK+JxzvSiDBv00jCINlBt2pwaEdrqJpN57k2cf4O275T1zP90dJpG7lYQQRa+bep/KVq+U331t/wjUmV1po2Fl5L6rFekgWJudJOWnsg2lMapxayU7RbZnredLRqnLWvYP3zesDn2UXvqsmZvpv+CITeQjSSa2IklReTaZpQWSnmR+v4wB8QADhsWmZWBWchbOa5hZe8Nw2BcSrckbZGNGqc8cBf6m9Lyppeoz31NyGi9GdQkF36Mz6ZY2hyYNXU11y4C5lH9cN6MOX1mo+1gXEGx8gyo6400HjZQyw8MHP4SKsk1ixMt/JZRFrbhSm1N5TOtvqvkWmNphTMY37AOO5Ka9Sv1mHt9mBt4vQ5P3rXN1YOOEbjYy2ifaRF5OgL+tWrDVefteaDC2PahisygTDfSW9FYJnGVuxtZBPBPCC5eGBA7C0EKwjbRrCakkkZRmoXQDfvQuZeC6cFk8q+lwgAcF9TEpS9deGt9+Mf0PqUmMha+Te9f83PPOQAz7037CUi0JjAegg8wPvpj3WBAxWwCLeQBUvMPW1q0mNimx4W41Y6jcxPNi41xZqzunLmaTXt2AgaI5VsOvxWj/r70jPBj7l529EzOWtTMfdgprULc5a+3TN2Ya/lwd5EnDN6cZLb+nOvoGbjXE3am+ra+htBjwDNKYFJFjaU6bd3I8M5DvYLlKmOXxvzXv7Z0KuTObkeFAf1c2u5VRCSVhccxbhuFUanPLZB1e8IuOYsmDp409bxJq6nOViGKvzymRAJB7sLrVW/Woe124OySXxaB95RHHBGa4UK1frhO2cljoufHSbzepi3eohAayMIimP90B6iGvTSWvPBhREk7UBNegQzgp6AxhY0ziyhMu4Gm5vgOJ4Qzjh8ENp0lh7Mgp23OsFahfkp3fF5jq2F4exdLGonhVcCPDawAMQd6mqiqrjOeu3Ss128gQa7SQPBCYV3Ww//lj6z5ToLg/qZSGmc4Bq1r8C8vSScBPyXBYk2m0axlwCld6nL/LkWH57MBD6g8yn4en7tku/Km2pMjY+lDlSbyidomEhNzHXxdm5dKJVtcbCrl9+YkGFStkPflWgTq0Z9vjFcWrZFm/fonIwXTkH42kP6s/lKAH/Yrzpf9eIvvR/BBQ5M0OXa1q0a8founE843bEEsHzQjNn42zj0kPmZIGqOEuHAXEpDtCYR2noFXZolmw5KhOnR05+901qZ1jhyWCcdNOD1szVgF1qrfifVYZf22FQuQZoA3EOyrHHYhDFldatHz0bV84Xp0RbVoqUc62XvnLrWfHDn6MQXguAR4JhgIkPoKbHbTawarAz8SOwCu/gQi1gGMIa/gb0J1XiJybArODKcg2DkMdEXQZxj8ixhKioBNu+qm5tigiuxY8kyw0Sbwb4F/A4NYnOZsEDRiQvMZg3gDIcY2pMMbtpcYNwgcHssmgXuUAD2MEdnIOcpzqyn3LXuCe1P4vLgP2Fh4Wth6rRRL/3wD/9wCU1EEZw8hMAM+NtbVpjuSkADem+/5D54xpioEl8Ke6S/zLGwl9yw4Iu+Et7CJQTmHHf4GRPfgjs3XxLa8KyTfj09WvGHSo9wFzk24KVhVkNITbyfOaGXQojMMkJTUuCGQ+jNsdJaXiw+JUDvOQ/AlSHzAbxVbGhyDLaW6Xr8Vzd4Lf3Z2H3uc5+b82FPeeoWAnjizUPzWkKAzqN3PoULDOG0xAYpccPhoJV9JwTKnuolLtqcDLMZpvwMuhzav66y3BSbj8TqSgBQD3h4795DoVWizMlECjDEIRjk0dOfPV/wa7g87ao/h0Y28blw2S1k/rVOOMwv9fOu88Fa9avvsnZ74JlEAvWwJus/2qiHAvaQWEj+DfpyPXrx8OFYlOOh1oVcAztsPPfQavMBKfcikZ0jk7YwOEwotEwCYPeYAivf7BJi8cmvPAx7tXN2F7yOqwcVE/Ku2AqaDTtKOw+7mHr0mk9oCmnAhIlRNq9cWpJeoiVVFzvwWuYubdFbj233MUHEwnvJYceLn61ES6V/gFhUbbgYlT3EzEurviYx2dP+VG2wkDjMiyH4dj9GWcyUQs8oB2ZQf+w1FdGkbTP5tlQSJpRGmEZtSry4tU1vHzQmwlEhxy1MnrGBr7DUrQT2QZPGdEo76UybaMz1ELMY7/IaJaGnjE33mLeM43rQuPdiEPEdZEPfgy2Fn47F7nhO3PT8k36j2WRFmR/WgR6CrTV+aV5pYWFNv+IrvqKnqON7aIVBrkAi9BW4zl2IOZ+ntb5jrIRg2Vyc+ZhWkobeePWZtnhX07aKrFG/+kJrtwcLDMxqPVjcYDp7iSUL5l/bsqTQbjp6+596RCaaNG2bV+HNWQZbiVwhxNG2o3V+vjCm7cpoQkud1GHffNd5WhlXy6OyZvokXCATDBxiDwHqC2VQzUIwa0ygzL69ZBIhKK9FsDPwljozjIawQibpHhJBP3ZRGceKup4JysBg0toX4rBD4IgdecIgQA2E1YBrNMm0EHOxRUd7Co9iQiW4wXC1kgnUorMWEahAFuomppZLOCAQ9W5oBITnXFTJOGOOJ7D1UBX0ODzo1/BBjtbNDPyTEDObyERPAOkh8BlCs/LhJRE8Ez72kLAf+ouN72/+5m92Y5E929gyN+m7nHbWIJsjQhB4AQGceVb7mifWIHChOh/2lAefSvB2WDSFA8MHwm8Pwc4Zr7DOVYAEi2Cy7CFr0RrOmrC+xhloUGvopU31Ns6sR/ODM9WuZHO5lrPI2u0B6gLqthYRyMkX82M+z7Y+T3mUEFPceEsZ2teG1xpMyCWU2uQbw2ExuiwU35XKvnCC5JUY0vp/YFWYninZwbViFmgKxdmbO63wIoNBat3BmNgIyiY9OyKAeBlU/Obo1biIG6fDVYyG9yaAiD3VQjoyjTABRkR9eC0TDOwXzUvvRN9ShyXXGrCE3FofC7vF2EJJoFzqoQrrBdc3xzP6TuvXqiEmSOI7Tfimo2oVl7yja2B8LRqbaJfMT/ovoa++H4HPZkm795B+pw/Oj9aNIIEP1nXThG6j1Bv3EZaPgG8DSPCjwenRoHJSglGlnaobK8JkL5mP6kaB8GdDVPt0b5nuY0GB7eaUwTGBAE7z0toe0zq89KUvzTGBb7TutLxrkv7YK9i7j1ZY3EcCtLi/vvemhFzLWdO8JDatzX3AA1Iw0G9sQgi9a1MVzlvLXdtZZO32oEm30dKfbWDMo61zKZ5Yx6bOj/PPPeuvudMGFdmAGBsiL+wS/5aFh4a9kvYhSMKit9Bde+zq454PcwDuJjSHmdBe3KlQZSdGqBUHBtcSIPDLMGmwLaHxLGGKKzEBfvjBV/gE4wJPgWDy5tSL0YjJs8TAOsaU+gy71YrTi51aYlTxCQ9D85C4Upg6MbZCcC69OKH5u+7yXT3wsfIrdmwlhI/8Dv/m/0soFpoSA/YybGXFWsKstr4vPE8sRBsfH2bBJpwuTBp8ZAjIl8RMC9NWEfsytDgbn7PtR+0bgZGzjWsfhhcKbUni1FrHR30OPHNsQErAIJKXPofDXD6rXrPkHKbibLvICpQYTuWEkFoi0HTeHpriJcVcdg28kliX+oj3j03HZW1+2U0bfojFrMAkh4NI4qbDApCx7cwB6tYSg07xsIvKjKxZOb7UTR1hf3ch48IY0LbGsDqbC0JwzbZvLVsZ4uWFObGEdafEYllCMC+xeU2cXmt54gHCCVYyDuGwYbN7SD+JTUbyMzZwGXtVTEkY4B4y98XGvrzuda/LMSZeqnEdyoim4mLjkthNN8UGocRGPePTwieHUF+Mx9b55aQKmCdC0Djpko3/MzasTbDmkds54/vC6YlTrA+10trtERbGxHLrc1PSb1r4p39ZH7ZRXU+2/X/+uzY1l4T2u8TGLWPKkgw5oaIAADzOSURBVAvMfWHpKqHQmN+y6Lv3mrajenmWMd2ypg9BchG7t19EsOAQEyr2nAAjrVICdVvBrwQKzkCxU7kksKhJL3ZdJbRC2yux4T8mI0KAgORrEmFZhzZICJCh1UknmSq0tjzLooYsaq0LY8tzdrk2zPYZuJrzg/fGU4NZW2mXFoHDe2rfOfW+O2eYaWDpebkt372fd+VMZXHjSOBdOY5FeKtmQc2EzPkMWD20nbnw2mR5jo1CL3FO4qBAwBDcPLSo+Z3g0iIUqQMhLawJ5cUvfnEKWYQO/RvQvrdNQlNcvuu7vuuy1wvN9mWbxMsumvxgYRW4XRB4QmR4yyY/bVrxlsDF0a+FOMZwNESESJ8rz8K01fXOEYMynXY4fZkDzFOElh6hQL2MKf2vBve2CeFcFBrsLkEytDgltDeKThK0mSMK55Fe8n4cMPDTmOEkQ1gjILVSddaMjCXZD5XX66zpXUMLnnOCecEmP8JPZf/Z1Umm9b22Xa+PTIVu42wXZxHPWbM9bFjwbVey4eWENiXCtw0SWSFwjcdjb3rNts/mzrBM5lxqbQ/MaglrQLGBsFEybmwUW+krv/Irc30zxmxSlRuQjXQKaiqrRX05rv0wB5gSmHFCcj96xjOekf+Ap+slanTm55hIjiKLSIKcnZmJpCBrpbUxdPPnMzECX+NDD6lfCFZphmHKrp+ZZWJy6Qrn0lOPpffAHcEHVVO2+G9MDUvJ+8bA3HrEZLi0qLzuNNqXuQXGF/YLri+8UdNs3lSx/7uYKZvJnbOEXMz6yxrEzFnLY8ZDUoiG0NtdvLoJDSP8VAhY3eW4UZ8AY3CAewjjxZRaTfsthetr5gAYutjEpLmSqTKEqubymOpC27D1aO1/8/eIxTdNgHCIvXhaZZoHQwjN1IggQnBgTPI9/FNeZAfKfNg+r0EwaaBCIexekqCBSbCFXK+sbUcr7AAEB9YtNHRHL3/5y5uhVS11d63xAtbQQ2s4i9TnrtUexiqMqTmgOsRMz9b5HjIuwFPguWHtwaRAN1qhH7DmNbGBEErKQcYFSNwusodyYmN6FJv+7n5zJ4U0SZ7j4uQAzQiTBAmeZi2EyQxjQ3XfS0yIL3zhC1PtP03hKDxH1RwsLZuJhOlgk3ZEGRE7ryvlmHsDq1VisirM3HZBtBKBZ/KvxWQ3z5So+znPNZrK7dUKLa7EggtjoGbIFeGJ1LlSxAdrMo8xF9BceN/A4Vxm7mxNh6Yu+gitkp0kkwSTG01Oj2aEad1BU6NthThi9mgxb1TeTM924VIb2oVLu1ZNOsyBtEOtpE40wqwAwvdI3eg7zX2r1sV4YyKP5ASpYQKrMF7CESXHdGvdtl1Pcyysl/JbSTsL+aM9vCeTGxiMOre+r2frf/oi7XilXm2a+0EVYmGsRR2fpWHsaV8F0N7GJiTTddKYSD1ZNZTHD1j4gfYG//XpEAyO5xRtUfviwqLyMv0Y/2kQd6FQQpRwxsoiaMBYKli3KgXGvSlFonEhTBxNZAjyqaUX0kqf2UX7WuszP4PB6EshfM3/teg7jXo4qGaorFbYzPQBa7WHNQh8jKWNNWBOoAbVgjb/36bvdS1nEWT9iM1vWhi0Uw9ZO1jEQHFYeZRXIRGR4WxjnZc+RzmsHiGUZx8ChzgpHePGcqMzDOrgALBr5IfOHWUIUunpRXPAMQEINhaAplJdX48KqG3dtUwfSGPFEwsAftPRuoOuZXOe4NnF2YFGKFTuqTFp1UKs7UxQ67f2WWgnfLQL9LkerW1zGu8rfVkIE8fBmjlTAf73aAqEMwK65kDAk3ytzE+0ZzSbds2cAYQAcnBK6SXhUkIQSO0uTV2YzruKEr5FWB07cRq7MHHn+O3xoq8VEFaIk0w9jD1a9hCo6yXdZ2GodiEazsCAZrD5mn5QWBcaP/NZD3EWw38H7avIBDSKreOjPptGE+/WItE09JH5MXdqXPo8fGI5ClPi0luueF2Y2rscsrYVrG6sJ/p31YL1zvfbniE0nYggLWSOoWHW57QLzaSICyKf9NJa7cHphEaXF7NoGq3r97z+HGBC4MpEB/X9OGfuQhyctGkIk+mUG7jaTG/K07yXtGHAjdJiFALvkfWdJaA105pdxaAODtSYgMyAQsMI+aEBZIgwGbZ2RJ3NBBw78GxYptRdwvachukTm5izH//4x1/itU0AaQ2XYmIT9V96SaZtQinPbd6yvWasjma84i0EZm27K639vsKahNb2snh9hA0bGmbqFlo78xNBkeBIiCIYtMAATqo3M3T1qK6LOe/o1vc1PoSsmW+AjGvhjnoFP4ul7B/1YGasC8lJ73U1/seDXExGcAPm9noIY8UEtxYxCWqnHnKfzZANm3i8vjv2ZU4gQIHeEBJCQ5WQHLCcXaABawmSYBnGho2WCAzM3Nra55aNm3JsfE866thb2sbmP5s/fYMiQr3EG33yk598FBrjpcVcdt2a7UGI4oVvHSJUUQhRlPSSNVzWLAIk2cB7946LWgfj1BqMWuEPtYzpWdQA87PYsoHHzn85t85ZQ5CccrXjM+wEgU9cLMHNTc5ScLXuAC1gOjKsAq2Q0BcELDt8IYZasVunJUh6LwKvVIGwaTBbdvut9fOewggRNuwChScxofiMj72YlI4mPPEWWMgwuyd2kOBrEDtaNS5rv6/A0tsC0YqTV4WtE19u8k+Ltkld37MA3XjjjUfhOJZhLGg3WhYixep/NDet9ZhU6bKPYe5MfKTxJWSUQxxToXZaFzYBr2lKN5Hy5T7uIXgoGM59JdhNG921KEzHiQHz3g7WFJqd3oDkwupYeI256dGam9jGVv/TD1kU5kdreVN+WcAdlAX18/T/rZ/XECSNM5u28CxO/KYNjPWkRwC3FtnYn3RUv4Cl7wrDTJhC+kkNOWOeV+/W+WX63NoGa7WHsqtQGc6kub61rufT+lkrbIzEbYSvFb+29X21L8tBwNVy3dRGlDC7ko20d9RvAq6R65z1vZWGINnKsQ3X10mJaQzZdbQKVlT0wL40BhqS2lo8OguaILqtHZkTDPU6TVDN1c3stgbReolRJhA77WSvo8OazgRrvNemMgiAzAnzo7U9lL3m+xIGLLRzTRJTsom59slN73TSbyb2NTI/6XcmeO88NZNY2AimrRpEdTYmbKyYYgTrr0fgkE56pY3/o8WkIZhvWNSLRle9e4hA7n4LubFLkHG0zgc9z77SPRYjpnZEkwPCwJqiPXqJiVzg9XoYJ7QcuxJ+4WUvESrMwwRdwjNL0fToEbBqXUCaOEEyGxMKOPS0krpYLxzhWZ1zfv3u3CpoBPYutWetG9yWehsTgeFvueX4WmOAgxLiGDSNrWod2UWju0Z7HFc0PpgTOPVRaphL1bu1PablTT+bCznQtc5/6gRGIv4tza7+p24yK5nLdunP6lJlA2X1WGOGIDlt5T34bEDx3IaDoGmhpYN9azWV09DQlMKmUdXTHDKb70rU9XBWvQvt/PkGKMychQNMgCaMar0XwzQvf9fvJmaDf370Dty13pegZsMBY0RDSnPqbPOxLbD4El54r4qXCxB2TlAm/t4FijBFS2/ny+yrjU2ErRNprTt81VzwMTG3Tn42AjzTLWg0zYQOmhK4LeOvl5jC9N/5MRdYe8vvvc/zCT4WXST7jAwesGE0Er39WVk8Z1lN4EwRbQnBppdk3TH3ScQg29W8vVvKtTBacG14d11wPde8qm5MfzZr8HQsR6AmLUS4VadtR+tG1RgFddl29GwsbdT0DZpEcwItc6+2nSBJ089yFzne0+vYZwd+9gqSa7WHedk8YD7VnrTZIAIUMrsS8zYsYjjF5MYtnGebi9RfwALIA+ZTuEgWvRrQfpf5hRWBttMmUF1pT1tpCJKtHDvl62lxTArIJGOB5PrfKkjKZmACJvg99KEPTROyAWti5qTRWl59bQPX/ZyKmKBl9TFIdlmIatm7OhPUctY809zgmwOmDjaKg0vPxDyv167v+xeRPUFOWOYS9aIJk2WkVaia12vt7/CC+goNIFN06yJZ60OwJfxZLAnMDoKpdukRXAjfzPk2W/jHJEvjSYvVQ3UMOM+PnvLWvMfiwCkQ2QTiWRXm8VCmqVbikEWbZOHltKT/ORPEOd70kDGhr9T2FJZF+btoJwlAUgeqm7amVevdGIGUzE2KQrG0YunMv/VYw7lSWfrzpoOZtlUjDmpkk2WsElaEoCOsbEsreqW2ttkgCG07egWhtdqDoEtohtuEDV2L1nJmqfXRvngY0SVyPtUeEdWhuz/rG+ZlMgYoAyumcTzHjtfnbzsPQXIbZ8757zRoNH00IzqGXb4OyKRCPd4rSFa2KEcHBkoWn24NwaqWvc9nC5tdYRUa9qGu6rIvGtzKDwsQXtXDTt9OGlTAbzZMrWSDxexH40rArweBelciuNQ6wWK2jo+6EMH4EUrnR6/GZdf3qvfTxoEsIBohiwbSTjZJxnMLuS+yE6XWxmeEZ+YbC1Or4FKfzaQ416jTDvXmsq7l4r/IC/rgJkhDve5KZ+OMMxABxiYd1tbGprW/rO1cOa03bVWNGuBMeKbRaqEIq3Occ5qGOcII5ZwHN70L0WzSgq9Fa7WHjcW2OV1EAutpD63lzFKfbVzB1CKYSyZpmtO6KazXLT2zYlFYscjUOaHHeXYIkks5fk6vs9PT4eB4OMXARekodfJvfS2LuXJoIuQPZQ7oHWStz96H6wkbzIJr7lp73ssOn3Zu23HWgqWdLizjtqNXA4FX7iW41ePbvu3bVs0nzKO0VfAjiBFsqzDa06aneY8FiMCDVzaWoC40dU960pOyjVqfTdAArZguvuYUeDK/658tpC60mII10/jTDNMiViz2HAu8tGxwCnWigSVIE1R7F936TJsFTg8gGhbhVm2kcghnxoiN1RrOlbVuhFuaNSZommHjrweqwfKkHTlg8OoXIgspbxfyvurHFwD2v1XA3fTsNdqjlmtu4YQHBhIZd/IMR1w15PW6pee1nFk2Pa9187KpDGNBOxNGadZZMXucZz8clTa20IMOjwMxgWYA8QhpkgGrQ3WfAbFbA5xXzsRuPtPoCdAtLV14Q2bQ6tBEHAf7rdcewlmaQAFbK4XQnO/Zmyu6lrPrObQMGUx7Wo4g9ILXS9PZ277T8nb5HAJuUZ9KMWFdknpMv+yh2DlnHmIBtWNizNSLMfFlqrCe8ta6JzByJbSumbYwhJ9MBhACwlrF71yOYMqhCc6cziGkZcDq2FxmXvUQrprLDwEykwhMkwYIQC7wegismbO9pdDA/B7nC5ZLGIX2KueWwG5lEPWeQPthKSlh0s+c2OYqpA+FMN0UYDpvjD/h5JYByeXG3oVio5cB9UMzmQkEImtJBiUXDDo0TjlWegK6h6CWaUPD/J7zljR6YdLP5AWheV5cZTmsQxOXgeEDa18CQpP3avddSMBv7SogeyghMoe6Z0knGJro5nlrrfao7yTtqrFiTITlLhMARISS7vnFuhtKh0xhGJCNEtCNy1In1me3nteY40NgzrEhMYNxYc4OzX372NgkpY7fBgeuxAE7NOn0mLb3MaXhleq/9P80B3Bb9eChvqtGY+mzl14H6A8bSdPEs3mfCN6QFhz+kNNDPVo1fvWdIlftkYDhvIWFP/rL8FIX7mjNNunRSKofDQHYCC2VWJQ8K3lvMxudNYGe0JpyKgAPQL1YUPfC0Bn3c40SrFUIfN1QC2F7qvbLcxBM9i51ZY15ylOecnwwyc/r/f+fdOW/2lK0BPFl4dBp7hxTzeyVS/nwFcYBjeGuzpW1RLARGiamc1o/Zm54dprZXQiulrZ9Dfw1MzLsoLimxtpDA8PPMdQ4buXj2u3BwiZuMEyu8HYIDhE/WyiE5fQf4EOw6Vhzvmqp16ZrtSvoiDSL9Wi1rAyNZOs24IJfHyFECo1GDLTcTUqPFgOtRByqg+OM3TetawRrzVRwgY3MtGZ2cftCgdUqT3/604/TBLZoHa7GO4S5N1O/hcmoK3XjvI7hyZupzMKsWGhfAq+W2oJY6Aot6FIKE2Cpmq/5PbSLPURDEA4KeYQpNjVXUqfSaIeJqynlXc/zT7onNn4lBNzUFNLmhnBfwpyVqRZPum/b/0JYKeE4lakLQxAqYfIsATUokX2jhHNVV/pGKTQDy5nauBCs8tGx8BXjMKI5bKvKib+H+biEEJn1k9YWhWk1082deOOWf5oPaEaNuSmFs1JX+0pzGZuNTHNKUyd1KB70knaVMs/8zDpBwxmm/RJCZVORITBmX6FRc+jDgR0uxt8uJKVwQAzSkmUdiQ1hoZFEfqe9Cw/ixY9Yuz3C8ayEM9axNSXM3GnJ02daaZ/WiW11D+edtDCyLEzXcO2iby6lkWt7KafGdcmB2H2X2ImnucQEH9irppzT54mNESw91f4E5cCPlNBilAhzUm666aYSsd/O9FWY2EMjlzmimV7k1J3SdFKY/n61P4NAEAKYUdeg0PqV0FBlexBawhs5FyUmwpbcyYRFgs82euQjH3lJPupt181/J/h459CcpukuNLAlcIklnB66ypuX3/udYEHwjlBghek9QroUmxCbowDZFwJvj+nYQi7vt3f+tE/7tMwBTKjsIcI2IYoJXr7zSnJFT3OD19+XnI1XfUMO9dBkp7lS/Zh8mbd7KTQ2RT7lai7vLee07rNxMFYqBaa9CXpkM6B/4LuyQASY3EGbUHjSlx54j/XD2NPv1qQ128O6FpaohFMwvxMue3O913cMLWwJi0AXz2oZp3GWqzwcgnafnzepOsdvgwObOCAIdvXsYmLkvRgTzbGpbNM95/U3pg1hdQRxnhKPQ+FJzprE7JOijce88/zoNR2v/V41vARPdwF+OX45xMFcg5hiekK5CO7LY9G5hnORy7aXxJsTg41DC4gBc6yYl/tC+vOamYs4xzDjMznXFKI9Tidz/sgTH5i++c/d3/U/zgPOTL3qzPS7ixc4JxFzH+9v4dQ4Lu0LgS9wApKpRB3r0RpVQ4zR6h3s3YQC4rkdG6w8eIP3EOiC8SHTkAxGzg4RRcAFemjt9hAqSxgg4cbqsYspGq/AIZjxOWrOoRs977zWPaAQwn/1zKHTOgzT9mmI+QdYZggmCbimaYkOlKYdJoAIippgdhqXFo3QvrMoQsoUzhLznTPgOs0JU22L6n/t96VVoQ22e2amDXzR2o9YpbyYPBO0Py+sFSjuHWmVtlF4bqajy7b/z3+nfeNIRVtKsxQ5dgsz/Dve8Y5mwL+yaemZiWiHabB7NWjzeq71neaMKZtTC+cV2kN1VleQAFrKFjLWI5h0alo5joTgkRAQ/OOs0EvGW4Q0Kdddd10J4eJYiwaG0Npn1MG7hTd4apjMV5EJpMSGpnBW6yFWiZ/5mZ8pTNnMvEy1gfFLOIO+ftZEo8uMbf5ak/Rn2t1dTdsh2Oa8GcJUwivUl/bTEZndUmsXuPvFVV+7PVg5wku9BK7xEo311KlsceXiQhp7Gj/1tF7oN4G9zD4YgnRLUadyLU0pMzbTPYhBfU9zYYtD5BAkT6V5Dq/QAG2nih/ehqmIIAVzZUE2cUW4j8Ij71CIsMyktokiLEQKcJv+d7V+MyH92I/9WIlQTmmiZYaCjWKi3CcyWRIICBiVIvZeLvAtuC1mNELaNmrFI8GA6bsEIIIGk6+FkkAeWoMS2srSUiZTcaRqzOrBR2qfSt6XAMO8eNbEJGkRt3BY5MJhLjFgrYIv4ZFpOLIKZb/TzgRT+DY85PlpnLSSeaUKtRbfSjZMvRQZvVLIJ8REJposRnk9G1/znM1zFagixmVuOMPpKz3Me+u41n2wq4QB81cVCtYqm1dvNZcT6lsEvloHQgsv+sgglT8R2iLecc4R2skmwmZ9Ka3dHqFpz/6nTmuQtdL7VqWDjY0xYqzsgyAp4gWhcU4tc597hyA55+D4vpEDJuHw+Mz/Cbkg3I+FGHYG9qoCpjfefE5/FAqCgDCnMOfNf7rq38MTM7GC8GnCVADZE45MUtOJ66pXbPZAEyZ8qZAwYR5KfJTPjhYyIXMesKGBD4VxO0lDeaWy9We4JxgoQq6Fl5DluwW4VbCqz6Pd9L40fwQV2muCKaF/H8i7VccBGw8UQbqbq2YRJBgLGyJkCN5xyiCoEQZ7tZL6NeEURq0SQVzfplVtJQ42NEA0L1PcMBxmXdxbyqQ1CwhDCs8EZu9uDrRZ2gfS52jahZrRzlWYNF600S4UsTOPx4U+c9LGbttzYLnxTxsTYuCUtQNHI+tIq2Vl7fagXQ5TeWIGOfRV/tlo9mw8av1YPmp/MQ+edX/hnBgJRbY1U270W8JPDWebrawc/5hywELL1GvxCCxU+bmIMcYMxXMTeHrTrmZ6/3n7TADgQLCNTIi9wsa2Mlt+5z1PI2z3TliLQLJFLLqq/bPA9SyULXVYci2zjkWbwwnnJfU0WdcFZEkZrvE+tHqRuztN+ZydmBV3JZN6YAdTkyuOHQGXVsSi1mLaqfUgSEWoqIxswJRM+KV1ETevxzRby93XcwQhL0984hPTkYWgQdgjvNE89QguBEZji7e18aV9tIk+RFBtJc4EtKMiL6xFYBb6tb7IY917E9z2gQjgtHRzMuZahHtaeptTFg8kjuQaXtvKsikUp9H8ql400OYwQpvvrbRme2hT/XlO6to7n9Kss1bU/uJ9CalnSZQh1mybPh755mfaUnWMpCM5x1IULaWhkVzKqQt+nUFughJw2E7G7gq+xcA3kR4aMV0JR4EsltPJmYaEUN2qVVuTR2AEhCuelEKRCDvDI1KdX/Oa13QJQWvWr5aFRzQXQrAQBpjGCBjqSvt01mTXTbjVvwmUkVM4tVe9mwTvRpCibSHs02TAzhFOTdSHRt43nE1SSLEAO1gueszaeGODQVMsrJig3zZL+jfv9x5SFqgBr94WQeqkZ9kUEJjh6UBJdjG7n/Scnv+B4zA5R0aaFMYJ5TZIre8eGY8uebz+3FrGJQX83xeaUYI9rP2UdhGs1mwPljaCqQ0MuMJacxSrRIW22Gj63CKoTXm1xmcWBQIta5Y1w8YBGb8UROGMVsAkltKdl144rrvYHLDTpSUgsJgIEMC+MB29k/x54KidG20DbV+kHUt8FAFhH+I14vu1115bnvWsZ6WgSzsJYkATRvjdB2JWFEqHgCDziz5D+Fhrgl7jHav5ihCJTPD1t9bybaxoHpnICZEEaRqJfXrf1ne60vVVwKiaHPiqXv4Ryhw2asYZjZ+xBs/ZQwRImmuCioxPBAUH6EEP2QxFQPcsy/3aVf9msdkHgl0VrobgwmEE5s/7VlhSbx3BIKbQgN5yzAcEqZe97GUpiNOAObRTD51Ge9j0csay1plPxfnsJWsmKxHBmUNgPThK7gMJ5wTCRXjWhwnlQoWFl3lb9eLmQYMDV+RAaJCOwtvzKAZYhr+RkzPA0Ve877xfEALBJZlUwhsyMzDExLx3rxYOHntXp3mFWsOQ1PtDEM1QRyGkZOaUEFQyD67vjn0Jd1TrG8JQZukIk1h3Xvta1kU66x8yvQR0JsOSBBYvw8OEJruLDQFROQrN/WWH3OM9FE5tmalkeq86xkI8/enMPofJPfOpTysQJurMBDX97aTPoTTIrEwyM00PYWzCEpXH9ddff1IRW/9nPMRm67IjTKxb7znpH2u3hzBRsek4zpQlo09sfDMv/Un12PY/ucrlt99nuuGGG44+J7I9yS0eGPvMr95a32HabpO7L+zVtATMJMKk2LHZtdhtMR1x7rDDPEQMGFwWjRKNBg0JkwRvVb/tm6lSW+wb0ZDA38DVTrUiQuW0aDjs6mtIE+XQek1pX7TiNA0xMSf+q3q4qienqB7M5fQdL8Jn7cj5iWmRFYBjn1BXvXOL8ctJIgTTY1OvjCpVi9rKU5lOQohKTRWNs35Nu7kvGEmYRvWrWiXzFK1kdbBa8r5gPZzakPBQ2gBxkhEdAj+F6+mhqpFULw5QNF893t/12Wu3R6SSzP5W5xeaXe0MrtKspYtK0gaDaYBBaJveflff9zTO1nTWNtY3loCe9hiC5Gm0zAGWaYLnLSurCLA072Bmu9tuu+0S/OChvbqJADCcEwVPRdgopjYDbtCVOSCjjYWMyWQKVm8V/CyMyiJU2LQI1aPv8YrcJ1JHTglwoVNBuS5M+1TXfa0LWIBUgRZwpkULW2+oFPFvCUOveMUrMn4mB4PQiCUGrMUrtfIKLONXfuVX0nlC6CTmctmVzhLvVuvmjF+Rwzqd8Ai4xpxQNi1QHLCEGt4I7+pn5Ru3uwhDNlocdwjgNofKJqD1mo/Xbg/h7WRA4kRavazVWV1byGYIxACFdi/73BTuwalsOj+0lL3mtau1R6sKc1x/sTnABCEzSXhBZsaIAOZmJorA5F0IxjBh7ZoF4EIw6v9eUnYMGW12JSbK2NkfRQy/oxAsjgLPmGY3GWX2iULIOIrg2ftUpXNVl8BCHoWwchTCeGbRCsEvM6D0QiKYPsNh5xIeMNe2Zh2KjcxRaJWPIl3g0fd+7/dmeRFm55Jy9+1LeEJ3Vym0VJkVJ4Sdo7DCHEWoraOIlHCkzNDOHYVWt6vsX/u1X8vMQjLwyJJm3YjN+RHIUAudZntEKKKjcCg9Cm1nzjne91BprfYYGsk1xfsLUBbzHI2L3ZQQLHZutEW9pqd9ZRnw8UlxClszqezre55WvXj93Xzzzek4wTRGm8u0U72hOSy0aOnkqaUJF0pH32OKAdLn6IBoAHo0TGu/v/eMlIGpZQGHqFoIedH3RWu19juvWZ5A7jLP8CQVYkeQauZFzjbic7YS7WOku0sNpAD4nDP0pZ7MNrTNPMg5sum/4Ar6XU98wdb3uNL1NHzmYxElaBHnxGzZogEDzwBJEaHDHO/7GmSdAAmqWk1jVlSDKQxk6XNOoz1YnsRGFS6KKX9X8l48+4UPmr7jvoRnW6s9hiC5a0+5gPfXCckEg3qwI/vOtgAfnxhwt0UI2vd3PY36Cf9CkEKbgnG3Lr4waLBthNLYRWfcORgrC7owFb3hZtZ+dyYrwi0MqKMSvN8QJCs3tp8JkAJCC2tFYBNuDDRCuKseEiWAqVJ0A+0BjsMDuRUHJt6eeU6YlJtuuimzXgmire8JlwJqcZZ9EPYQhtuYsAmezsmwxWvgc+FNmfKN3V5ICcGegBb57RNnzpQMc94SakY/OK32eNCDHpTQAOk0mbPrRlAmnroJbumHhN0Kd6nrpvuZ5PeB1mqPIUjuQ2uOOuwdB2CLTCTA1+LZzWm6q57/b3wvRTo1AHOpBtcgQhjMkRBHFksOBQS2GuhXiJcpBnONZ/aUoV+IqyigOWc0Dmqy6AxaxgFtSAsmjSPtobEnt3WvEF4DSdNowni3YAWnNYbRhI9WL+FS1JNgBS9p81A1bNN7ruZnwh2tJC2pd6UBR2GSzbEi5I7N8VKSOpRwTJNpHBt3sMmOXYklgcaPNpfGuaZLbCn3tNqDdQ0O2/h1VDL39AiSNH4PC2dUYaz2iWhHOdDSCK/RHiOzzT617qjL3nGAiZazDaIhMVnz4LPrPzRz/prMZ7qhWaren2uWXct605veVB772MfWr3txtnBbdAkWPPw5GfnO23XQyRywsG2jVg12Lcf4tYhLG6g9diVzQGAky9Oe9rQMlk6gIXzYyJy1lolTjfFmEwdiUYnTEs/cql2rv590FhlBIPdK5rqpFSawoqmZ7BHMzQ3aY2rqBRno0eieVnvQgpvjOVvuApmReEGaXYL9FOoi5upZrh/agBBPaHaWP57ipHdDNATJOlLGeXBgIQdMDLw/p96MC2+9MJeZqGCsrrvuuo3vLIh6z8KxsbA9+lG2J2kRbTgQExyMn4DszoM2cwC/LGrbiNZP8ORWom2h8SK0EPqqMPUnf/In3YkUapYcZm4ZYIQq0pd7hd3WdzrpegIQLeIUCkD7B588Na2eVMaS//FUt2lqNXETIGn3zAvT+jAlTwXVJXWo16zdHuFMmkKk/iIjlcxttOQ9RDsMczkn4ZN633deVs93mzaCsnna3ORsjDF1Eyz16xYN7DBt97TCuOfCcCC8RYsE95XsxE0Ofh+CZOXK5rPFe4oTnF51kvZpet15+0xQYfKsRJvBDDrVvtT/jfOHOUAbQgBCTKk/9VM/VeTJrjQVOupvS84cdGr80en1u8AgqtamphHcRWM1rdMan6VIhEmWFrESvt5+++2XCG71f1f7TEMsNV9NybfG89dsD4Ku+d4cr1wZ3ThpCXvXEouzvpcweYRQ0IIKddmH0HE2PcIbOWhH9Q8QElnR3vKWtySGtWWMDEGytvg4Dw5s4AAvUjmYK1k0mJB6JpVaxkU5A9Bv2o0f8vvDQ/HStKuHl7QwMS3uw+Kxz3yHgeS9iwjizH71+y71pikEL5BPvS7kEZ4p8Y67lLuv9+pvhAIORrSxBAUOapyO9oFoIznI0UBPTb3aumqLz7Ke//iP/5jB5atwSjCHcfZ7z5xvwyxRBHyqGJ/6IYcvDjhn+b606PJsExo5L4Jl8PaXC51WshWmMQTJs+y149l7zwEmId6QJoTefLB7/5KnUMGznCRP4XUWFxnxLtPBCDbKQs5D+CST7eKCx4VdHIg4o4ll5JRlIQdJYerWPq1B8bsqcJVvEtrIpoWXOlzuz//8zxdwC1q2a6655irX5vLHgRRoE+bjKcl0sw/tQZiCfwXLIYRzrLKxmUIFpvW+0mfRB5jIOUEhApx28L42mGdFHIlEkjAmzFGR/ngnaMadz+pFxnMHB84DB+xEhbyAZ6ElqQfT9qDtHDBZ0tzKrhE5evNC5qJDJxohcRCB9GEla7iUQ3/vXd9PBhoaEgdtFQhJ/e4sA0cPWcgJLRH8OrNxMVHqm7R2h0g04jzJxVzFU+9LE9vjFHMa/KGR5AzEQakehNx9ECK9rw3wu9/97hTEI/h6xq2lteul+XvBHbZgD3ufe6X7hIviNU9gJkgSdsEhpBKFs22l4WzTyrFx/YXigB09vBZTRAtm5EIxacPL8mz/wR/8wfRmZSZi7uX9fppe3BuqcdV/gseD9xOPzrlqZgmVh+hctBaD3/e+952YAMCi1xMLEcaNNsk4vv/975+OBRINEF4OdTzLby/UEY9mggEhWhiqHqJhh1mV03pKNLqImXYJCcP07Gc/O7GCtKYCp9cg54QY7dGLg13y/CXXEHA5wciNDWoh1NF973vf1GDXcbyknPk1D3/4w1Oop+EEswB5qZFA5tee1XdCPSwnjKTwajYhLe0xTNtn1XLjueeCA1T/FrBDXXROqxHAAGgfCFBPfepT05wFb8rsBoMj9/FZhr84rffmySqUyaA2DhDyaIJoHmkRBSZfg2DcaFx4BfNMpSGGUzvk8Sz2rXBEHLwIeszJxtzS8aYNqvWAs5xMZjUTkFiahAzCoDKXkvmgQoMIpzaUVZBcWsZpXwfy4D2r9z3NtegSwoy1Yr2Z75mvOXvJgmbuA3URjB1m8qxJ37BBMCYcBH04Vd708N2tm7YhSJ51i47n7yUHTL6C8hIMYIwAreElKwiblnKfvDX3jYlMOsJJwBuZROGBLGq33XZbft+3+q5VHx6eTPkcHKpzxwMf+MDjxWmt5xxaOXDInGDgSXn22oTg4ytf+cqdXlUbwH9JqUnraRGvY3ingvf05ve85z0Jq3jc4x53iUapJUoCjaa0klOq3wkahAzPaREkp2Xt42dQAIK2TEqVZN0Rg9SYtha0OH8RtCVMwHdliNNIQNsXpzubNmGNaEulnSUocwjqpSFI9nJu3HfQHBDap2pFaj7n6QvvA85lWp99+ywFnd08j/fHP/7xiVMjkJucTdj7lulhLf7RuvBWZ9amzYZR4wFJK1E1HWs965DKYUK0yXh7hEmxmDNHC1vDY5amSBrCVgKtkIkGzhmsgCZS/EOhZzaN6dby9/F6G2CCgVAuvWTu0xY0aIQnm0ACUe2/u2AGe+t02vcRrDaZ6cUu5WzD9NsiSOqvNK82MlXrxwoj0LtNkoxNZwl1EZaIRtIcJVwUIRJcYRMPlvB+CJJLuDSuuXAcgNt51KMelYONeYJ2DX6Epu0pT3lKd8q2i8ZI2gumMXz7ju/4jsRJERCWmtnOG79oIpnEbr311qw6E5KFWGBjk/egzRyALaVF4xQiA82rXvWq3IhYyG+88cZyyy23NJnbjFdtQLCqC7bxK4C2nO0cKc4yIPRmLuz+KyHl5S9/eWr9p+F1Wk2VzOPMnfoseAptLkGcM08vcXDCf23DdF6Dmft+1gS3SCPO0WQaKonQzNQP39hKBG8CJXiFPgh7yHHsQ5GjvUVD3PrcJddzFrXJpf1XN5pS7du7SRiC5BKuj2suHAcqxs9OlKnHAseBgslCuivatUHLOFA9F4HtESH9UMm7yWZTCUjfotGbK7qWc+hnAgvzImGDRo3TA0HGuKM9bBX6CPTwkDQuU+J0AudHwOzRck7L2sfP+OeYh5wyb7U4TwgaTrBnwgbr+Ymf+ImMTdkrSN773vdOXPQmnoEenDVMSEpJZnv1ZILm1SwCA0uC6BOtzjY2yzR9BDNCG4cn78nJiLXmrMl8ZGNP8/+d3/mdiamllQXDMUZe9KIXNc1ZQ5A86xYdz99LDsBsMUPYPYrHxhzG044XqInV7nIIB3vZdGdaKSZtGgjmbVoOk7OJeaRHXNYsFnIaSNoqnsICawuYLO9zi7DBHMl0R5s0haEw39F+VueRZbU6P1eBAjBLw+StQTZFTN2EUNp12HCOPLSdLXSPe9wjQ80Q8LUnj+h9I+8GziSlpHHLssA5pgeGQ3C3ZthYcr4TnxJ8Y1+IRei9731vOqLRwtp0GXtvfOMbM7IB34AWGuF/Wrg1rr0wHIBrsaOEqbIrf8ELXpBmCQyg5aA9adnhXxjGjRdNDvzlX/5lYswsQvBHg9o5wDu4J7+2J4lfSttCsKfhrBqmm2++OTFvApQfIgk0LY6pcDq7wEfe8IY3FCG8CFMcTWyqn//852dAbRYa1pkv+ZIvaWYhTZ120Q7T8FjgDK1av+aHn3ADL2taatEDzPXgAfCNPSbt+hh9EOaXVtIhGDmBEuZXG1XMab3+LM7qaHyAe7AY0fzDSYpF2mIFGBrJs2i98cxzwQEDn/bChComm8+IlmPQ4MCcAzYfNBgWDxqbm266KTXaHI72wZw1r+++f+8VIr0XTKBsIkJPPfaxj00LAi0lLec+asPWagvCGEGPZpJGvApntJQtOEnCBacnm2YmXpYYWsVdCTaSJWceIktkhwqB2fUZPffTeHNQeuc735mROmishf0xlnsJv+HsCY+EUrnj4XR5SLfGaeytw5XuU0f1oTnVBqwBwhZNtfhXKsP/h0ZyCZfGNReOAyZPE8A2OtQUa9ved/x+MgeYggiP3/M935M7ews4DQeskUDHA1N7Mv9O67/VwUGomosgzPNQJ7TMSaalnrBHMp+8/vWvnxd3cN9ZEAjbsKXPec5zEpcr/qjNjN94/1enrSUvT8PJtF1jNBKShdqBv3TMsbtLytzna4ZGcp9bZ9TtzDjAFCZ8A6cboH8xJAcNDmzjAE0GM6BFqBKcpIwqBExewrC1g64OB+C/CEHGsaDaFm9CPmeHQybCMoGR4KO/MRlzkGkRIpk7OZggONPap/FPZhYWGQ6HPWSc8I6eE9zlWQaJhwNFzNqgTPjGKQu0iWdzqxkaRpKnOw04M/m+xI+c832t73deq6BRzuDAIXGAsw0sC+9RpjAap+c973mH9IrjXVbkAGFlU0gPiy6zGUeFQVePAxwH4NKYFoVe4kzAWY6g8Nu//ds5nq9eba7ek2xYrr322nTsgJfk+MXrHcZxKRE6YQUd4Bn1MycZ8Q85ZHBA7CH4SPg7hzLAPsRZbTG79zz3SveAPYBBeDfzPk9mPONpzQxPs91C+E6I5Gj34z/+43mrjE2HSkOQPNSWHe+1EweArAHCOdTYlYsFKM6WmIg9Se13qsy4ee85wPlAAOff+I3fOBZSbD54gt7znvdMj8i9f4kDqiDBngD14he/OLF9zIziwcpSQlsH83yIxHpCkKxav2/+5m9OvCTt2FLiZMGcSxivB80uzRwMHZ4SxnuIwGgudRAqv+/7vi+tPgTgfSBC7c9FfnJOck94whPK7/zO7+SYbnE88R7K8U6SMfBUF31AdqBpaLB9eN+16jBM22txcpRzUBzglS2OGoFSWrXXvva1GXfLAiXdmhARZ2mKOShmH8DLAOeLtUd4EfuQ0MIMyGELyH7Q1eUAQYV5G/bNOCbQaw8LvNA4LXi3q1vz3Z7m3Zil4XNtZJhpmVk53rQQjSFnG/Od0FU0bMrjlEEY5IDYQxw5bMYr3XHHHenEWE3L9fezPFehkeMc6qmb9+KgRICkeYXRZSYnoOMlR7CWcFZnyY8lz75LJLN/4ZILxzWDAxeJAybMJz3pSalNMhHQNDF3W6Bgr2BeqkfkReLLeNftHBDMVxgNfcfB8/UlL3lJal623zX+c5oc4OQAo/qMZzwj4x8SsoTGEbqm1TP1NOu5VtkEZYIQGA7tJOzhDTfc0Bx8nQZSwHbmXaZZZm1Bu8E0OJKAbPTk2pbFhjApNJFDFhnwod7UfGvxbe1yqgf6W9/61hTIxSOGPSVEw5fCsrbiLteu45rlDY3kmtwcZR0UB2CF7CBNygQEeaJhXkyqwPsm7UGDAzggNJRwIfoLj39aSHgrAuWgs+MAYbFGX+D4RAvEwnCoRPtok/tHf/RH6SxIm8Z6QjO+qwaMyVz8Q1jgmgK0lY80wcII8Swn4NtsgX4cGhHmrRc0xDS50kw++tGPTquFYOfwq4dk0Rrhfw6tB4/3OTUO7JLU/tQqNQreCw5Ig0ZzbdEWe86iazGXW/fQQn3sBcNHJS7jAOwnPB5hUrgfJOoEAZrgJrbkUhKc2mZITEraMxsk5dCqESSrxm1pea4D/eC4QtsJMgR7TlPHjC6F4KET/kk9SbA8NGvWECQPvfeO9xscGBw4dQ5YqDkh8A4mSMJGcXiAhyJkck4YGuxTb4YL/YBf+qVfKjyDme6lmKwEjgO720KExRqFALaUWbtiB1vKqdeKpaoe6gc/XIl1B1SI8HuIUIP6nod+HoLkobfweL/BgcGBU+cAzQ+TFY2kuHFi+BEgZbKAxxOT7pAwUafO0PGALg7QGMIhioE7DTkF77g0liSNmTIqffu3f3v2aZuiSoS+Fq2krDFCB9FCzkndbrnllp3SEc7LHN+vLgcGRvLq8ns8bXBgcOAAOWCRZrITc4+DwvXXX5/x6IDtfZbh4pAwUQfYhAfxShxhbFxgI4Uuq0SAW9r/ZMeB75sSYXJKhD8hlZaSOI2E203EgQeGc9D55cDQSJ7fths1HxwYHNhjDsBHwkoOGhy4WhyAa2TifvOb37zTI//sz/6svOY1r7msDPFShVNqJbF3xfAkfHJclG+bFp+W8pnPfGb5m7/5m/yttdxx/X5wYAQk3492GLUYHBgcODAODCHywBr0HLwOTSGzNC3fLiQWKpylPixPvM/K7s3OIswP87XYjLy2ZY/55E/+5PxO+CVYDjq/HBgayfPbdqPmgwODA4MDgwODA8ccEHpKaDKOMYS36h3cCq2A95V1BsFaCtsDO0mgBNXoJfEn4YjFklQ/oZl6An73Pn/cdzocGBjJ0+HrKHVwYHBgcGBwYHDgqnJADEmByOfUGjGA4LgpvuPU4Wb+jJO+Exxf//rXZxihX/zFX8zQQjSUQ4g8iWvn539DkDw/bTVqOjgwODA4MDgwOHAZB2AQ5YjeRtdcc01TWkjBwmkehQCS4QteUu5o4Xp66DM+4zPKfe5zn4y1Km4kZx65ux/wgAeU+973vj1Fjnv2iANDkNyjxhhVGRwYHBgcGBwYHGjlwL//+78XDjLbqMaE3Pb/+e8yNYmLioSyqp97A4d/4AMfyIDm4qyqq8zMnG442hAomdLl8B50PjkwMJLns91GrQcHBgcGBwYHBgcu4QAM4tve9radM8WIRwkbSbh71atelRlp/uVf/qV8/Md//CXPa/ly++23Z+YdubWZyP/t3/4t83g/5CEPKTSWFc/ZUua4dj84MLy296MdRi0GBwYHBgcGBwYHujjwB3/wBxnHlIbvla98ZXpty67US0zltI8PfvCD0xz9jne8I9P79ZbnPiZsDjzf//3fn+lDmdtpKr/xG78xUy/uUva492w5MDSSZ8v/8fTBgcGBwYHBgcGBnThAe/j3f//3RQD85zznORl83PfnPve5GWrnfve7X1P5d9xxR/njP/7j1BR+y7d8S3H/m970pkwBKnTPk5/85J1TGqorD/NB558DQyN5/ttwvMHgwODA4MDgwAXmAJzhIx7xiHS4gWm89dZbMz827+sf+qEfSjNyC3uYyMV3fNSjHlVkuvmCL/iCzJjzspe9LFMt+v+uNITIXTm4P/cPQXJ/2mLUZHBgcGBwYHBgcKCZA8zG73//+8srXvGKFBpf8IIXZBggcSUf85jHlLvf/e5NZYrxKD82k/m97nWvcre73a188IMfLN/wDd9Q3vWudw08YxM3D//i4bV9+G083nBwYHBgcGBw4AJwgED5ohe9KAW+r//6ry9PfOITM2SPTDetwiR2iT/J2QaeUSxIGklxKu9856GDugDdafErDozkYlaNCwcHBgcGBwYHBgfOBweYpD/hEz7hfFR21PJcc2AIkue6+UblBwcGBwYHBgcGBwYHBgfOjgNDP312vB9PHhwYHBgcGBwYHBgcGBw41xwYguS5br5R+cGBwYHBgcGBwYHBgcGBs+PAECTPjvfjyYMDgwODA4MDgwODA4MD55oDQ5A81803Kj84MDhwtTkgtZsA0IMGBwYHBgcGB0oZguToBYMDgwMXlgP/9E//VK6//vrMT7yECbKFfOzHfmymeXP9S17ykoy353NrWe65Ek3Lv9K1Pf9/2tOelgGmpcQbNDgwODA40MOBIUj2cG3cMzgwOHAQHCD8/ciP/EiRS3gJiav31Kc+NbOIuF5e41tuuSVvbS1ryfOm5S+5vvWa//3f/y2Oo6Oj1lvH9YMDgwODA8mBIUiOjjA4MDhwYTlw3XXX5bv/7M/+bPnJn/zJ8oVf+IXl+c9/fv72sIc9rDzkIQ/JzzfddFP+7y/+4i/K29/+9vKBD3ygPPvZzy5/93d/V9773veWZz7zmWVa1hve8IbyD//wD+WGG24on/u5n1s+//M/v/z0T/90lvXCF76wfOmXfml53vOeV77oi74of9v0Z17+pvt+/dd/vTz60Y8un/Ipn1IEoFYfAu0Xf/EXlyc84QmZG9nzZTpBBEYa2M/6rM/K95G5ZNDgwODA4MAuHBiC5C7cG/cODgwOnGsOfM3XfE3W/373u1/58i//8sJ0/cu//Mvlr//6r1NL+Vu/9VvlQx/6UHnzm9+cOYfvec97lve9733lr/7qr1LIpKG8xz3uUQid07Luc5/7lJe+9KUpSD7ucY8rn/iJn1i++7u/O4VQ9/7e7/1e+dEf/dEUMrcxkBA7LX9+37/+67+Wr/u6ryvM0oTGt7zlLeWbvumbyn/9139larvXvva15d73vne5613vWm688cZCCJYyjwZWuYTNd77zndseP34fHBgcGBxYxIEhSC5i07hocGBw4BA5QPBCD3zgA1NDRxi8/fbbC00fLZ/MIMzev//7v1+uvfbaS1jwyEc+MvGSn/7pn158npd16623pgD5P//zP+VTP/VT814CaaW3vvWt5Y1vfGP9etl5Xn69oN6nrP/8z/8s8iJz/vmkT/qkrCsBE33rt35rIUw+61nPSk3ke97znnLbbbfl/9zrfw94wAPy+/gzODA4MDjQy4EhSPZybtw3ODA4cHAcILzBDN58883ly77sy8qDHvSg8upXvzoFtbkgedLLy21MkyknMXPyZ37mZ5anP/3p5cEPfvDxbSeZtY8v2vCh3vfBD34w/1ufQZD1jDvd6U75Oy0outvd7pZnf2ha0cd93Mfl+V73uleex5/BgcGBwYFeDgxBspdz477BgcGBg+HAn/7pn5Y77rgjnWg+4iM+IjWQhD6C5Lve9a40BT/84Q/f+L7uq0KdC5T1z//8z+X+979/msqZqGk23/a2t5WP/MiPPC6DALiE5uXX+2hRK331V391+cM//MPy/ve/P7Wk9ff5+TGPeUz+9AM/8AMpIP/qr/7q/JLxfXBgcGBwoIkDy2aypiLHxYMDgwODA+eDA5xOPu/zPq/8wi/8Qnnd616XQhisJCJIVg3iIx7xiPJRH/VRxy9VtX4win/+539ehNGZl8V0DDtJeOPg8tmf/dmFwNdC0/Ln933t135tOtH87u/+bvmqr/qq8u53v/s4LJFrax3r2W9M9w996EMLZyB1rhrJ6TWuGzQ4MDgwOLCUA3cKs8uI+7CUW+O6wYHBgYPjAFM2DeJHf/RHX6IxXPqi//Ef/1HgID/mYz4mzeLzsv72b/82YzVyypnTf//3f6eTzPx332kyxayclr/pOs/mSPM5n/M5hTZ1CTG7q493HjQ4MDgwOLALB+66y83j3sGBwYHBgfPOAaZipudeuvvd735866ayqqPN8UWTD/bxPMU3EQERTcvfdN1d7nKXcs0112z619bfCJ2DBgcGBwYH1uDA0EiuwcVRxuDA4MDgwODA4MDgwODABeTAwEhewEYfrzw4MDgwODA4MDgwODA4sAYHhiC5BhdHGYMDgwODA4MDgwODA4MDF5ADQ5C8gI0+XnlwYHBgcGBwYHBgcGBwYA0O/D+bb27QzxJpNQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<VegaLite 4 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Plot\n",
    "alt.Chart(df_2[df_2.hashtag=='yes'][:30]).mark_bar(color='#F68518').encode(\n",
    "    alt.X('twitter_trend', sort=my_sort),\n",
    "    alt.Y('sum'),\n",
    "#     alt.Color('hashtag'),#, sort=['yes','no'])\n",
    "    tooltip=['twitter_trend', 'sum', 'hashtag']\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th>twitter_trend</th>\n",
       "      <th>hashtag</th>\n",
       "      <th colspan=\"2\" halign=\"left\">10-Mar</th>\n",
       "      <th colspan=\"2\" halign=\"left\">11-Mar</th>\n",
       "      <th colspan=\"2\" halign=\"left\">12-Mar</th>\n",
       "      <th colspan=\"2\" halign=\"left\">13-Mar</th>\n",
       "      <th>...</th>\n",
       "      <th>16-Mar</th>\n",
       "      <th colspan=\"2\" halign=\"left\">17-Mar</th>\n",
       "      <th colspan=\"2\" halign=\"left\">18-Mar</th>\n",
       "      <th colspan=\"2\" halign=\"left\">19-Mar</th>\n",
       "      <th>repetitions</th>\n",
       "      <th>my_sum</th>\n",
       "      <th>my_mean</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hr</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>10</th>\n",
       "      <th>18</th>\n",
       "      <th>10</th>\n",
       "      <th>18</th>\n",
       "      <th>10</th>\n",
       "      <th>18</th>\n",
       "      <th>10</th>\n",
       "      <th>18</th>\n",
       "      <th>...</th>\n",
       "      <th>18</th>\n",
       "      <th>10</th>\n",
       "      <th>18</th>\n",
       "      <th>10</th>\n",
       "      <th>18</th>\n",
       "      <th>10</th>\n",
       "      <th>18</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>COVID-19</td>\n",
       "      <td>no</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5600.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5400.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>13403.0</td>\n",
       "      <td>1218.454545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>China</td>\n",
       "      <td>no</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3400.0</td>\n",
       "      <td>6</td>\n",
       "      <td>11606.0</td>\n",
       "      <td>1055.090909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>#COVID19</td>\n",
       "      <td>yes</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3000.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3200.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>7203.0</td>\n",
       "      <td>654.818182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>italy</td>\n",
       "      <td>no</td>\n",
       "      <td>710.9</td>\n",
       "      <td>776.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>524.4</td>\n",
       "      <td>803.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>909.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7</td>\n",
       "      <td>5590.4</td>\n",
       "      <td>508.218182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Biden</td>\n",
       "      <td>no</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2800.0</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>4602.0</td>\n",
       "      <td>418.363636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>733</th>\n",
       "      <td>mccaw</td>\n",
       "      <td>no</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>734</th>\n",
       "      <td>nathan mackinnon</td>\n",
       "      <td>no</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>735</th>\n",
       "      <td>santé canada</td>\n",
       "      <td>no</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736</th>\n",
       "      <td>wheel of fortune</td>\n",
       "      <td>no</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>737</th>\n",
       "      <td>Éric Salvail</td>\n",
       "      <td>no</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11.0</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>738 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "day     twitter_trend hashtag 10-Mar         11-Mar          12-Mar       \\\n",
       "hr                                10     18      10      18      10   18   \n",
       "0            COVID-19      no    0.0    0.0     0.0     0.0  2400.0  0.0   \n",
       "1               China      no    0.0    0.0     0.0     0.0  1200.0  0.0   \n",
       "2            #COVID19     yes    0.0    0.0  1000.0     0.0     0.0  0.0   \n",
       "3               italy      no  710.9  776.8     0.0   524.4   803.6  0.0   \n",
       "4               Biden      no    0.0    0.0     0.0  2800.0  1800.0  0.0   \n",
       "..                ...     ...    ...    ...     ...     ...     ...  ...   \n",
       "733             mccaw      no   10.0    0.0     0.0     0.0     0.0  0.0   \n",
       "734  nathan mackinnon      no    0.0    0.0     0.0    10.0     0.0  0.0   \n",
       "735      santé canada      no    0.0    0.0     0.0     0.0     0.0  0.0   \n",
       "736  wheel of fortune      no    0.0   10.0     0.0     0.0     0.0  0.0   \n",
       "737      Éric Salvail      no    0.0   10.0     0.0     0.0     0.0  0.0   \n",
       "\n",
       "day  13-Mar        ... 16-Mar 17-Mar       18-Mar       19-Mar          \\\n",
       "hr       10    18  ...     18     10   18      10   18      10      18   \n",
       "0    5600.0   0.0  ...    0.0    0.0  0.0  5400.0  0.0     0.0     0.0   \n",
       "1    1900.0   0.0  ...    0.0    0.0  0.0     0.0  0.0     0.0  3400.0   \n",
       "2       0.0   0.0  ...    0.0    0.0  0.0  3000.0  0.0  3200.0     0.0   \n",
       "3     909.5   0.0  ...    0.0    0.0  0.0     0.0  0.0     0.0     0.0   \n",
       "4       0.0   0.0  ...    0.0    0.0  0.0     0.0  0.0     0.0     0.0   \n",
       "..      ...   ...  ...    ...    ...  ...     ...  ...     ...     ...   \n",
       "733     0.0   0.0  ...    0.0    0.0  0.0     0.0  0.0     0.0     0.0   \n",
       "734     0.0   0.0  ...    0.0    0.0  0.0     0.0  0.0     0.0     0.0   \n",
       "735     0.0  10.0  ...    0.0    0.0  0.0     0.0  0.0     0.0     0.0   \n",
       "736     0.0   0.0  ...    0.0    0.0  0.0     0.0  0.0     0.0     0.0   \n",
       "737     0.0   0.0  ...    0.0    0.0  0.0     0.0  0.0     0.0     0.0   \n",
       "\n",
       "day repetitions   my_sum      my_mean  \n",
       "hr                                     \n",
       "0             3  13403.0  1218.454545  \n",
       "1             6  11606.0  1055.090909  \n",
       "2             3   7203.0   654.818182  \n",
       "3             7   5590.4   508.218182  \n",
       "4             2   4602.0   418.363636  \n",
       "..          ...      ...          ...  \n",
       "733           1     11.0     1.000000  \n",
       "734           1     11.0     1.000000  \n",
       "735           1     11.0     1.000000  \n",
       "736           1     11.0     1.000000  \n",
       "737           1     11.0     1.000000  \n",
       "\n",
       "[738 rows x 25 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_3 = df.pivot(index=['twitter_trend', 'hashtag'], columns=['day', 'hr'], values='tweets').fillna(0)\n",
    "df_3['repetitions'] = df_3.astype(bool).sum(axis=1)\n",
    "df_3['my_sum'] = df_3.sum(axis=1)\n",
    "df_3['my_mean'] = df_3.mean(axis=1)\n",
    "df_3 = df_3.reset_index()\n",
    "df_3 = df_3.set_index('twitter_trend').loc[my_sort].reset_index()\n",
    "df_3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json",
       "config": {
        "view": {
         "continuousHeight": 300,
         "continuousWidth": 400
        }
       },
       "data": {
        "name": "data-3d207bae163c815759719175f24f4bd5"
       },
       "datasets": {
        "data-3d207bae163c815759719175f24f4bd5": [
         {
          "count (thousands)": "710.9",
          "day": "10-Mar",
          "hashtag": "no",
          "hr": 10,
          "rank": 6,
          "tweets": 710.9,
          "twitter_trend": "italy"
         },
         {
          "count (thousands)": "776.8",
          "day": "10-Mar",
          "hashtag": "no",
          "hr": 18,
          "rank": 27,
          "tweets": 776.8,
          "twitter_trend": "italy"
         },
         {
          "count (thousands)": "524.4",
          "day": "11-Mar",
          "hashtag": "no",
          "hr": 18,
          "rank": 27,
          "tweets": 524.4,
          "twitter_trend": "italy"
         },
         {
          "count (thousands)": "803.6",
          "day": "12-Mar",
          "hashtag": "no",
          "hr": 10,
          "rank": 11,
          "tweets": 803.6,
          "twitter_trend": "italy"
         },
         {
          "count (thousands)": "909.5",
          "day": "13-Mar",
          "hashtag": "no",
          "hr": 10,
          "rank": 17,
          "tweets": 909.5,
          "twitter_trend": "italy"
         },
         {
          "count (thousands)": "758.2",
          "day": "14-Mar",
          "hashtag": "no",
          "hr": 10,
          "rank": 15,
          "tweets": 758.2,
          "twitter_trend": "italy"
         },
         {
          "count (thousands)": "1100",
          "day": "15-Mar",
          "hashtag": "no",
          "hr": 10,
          "rank": 9,
          "tweets": 1100,
          "twitter_trend": "italy"
         },
         {
          "count (thousands)": "224.9",
          "day": "10-Mar",
          "hashtag": "yes",
          "hr": 10,
          "rank": 21,
          "tweets": 224.9,
          "twitter_trend": "#TheBachelor"
         },
         {
          "count (thousands)": "251.4",
          "day": "10-Mar",
          "hashtag": "yes",
          "hr": 18,
          "rank": 46,
          "tweets": 251.4,
          "twitter_trend": "#TheBachelor"
         },
         {
          "count (thousands)": "630.3",
          "day": "11-Mar",
          "hashtag": "yes",
          "hr": 10,
          "rank": 26,
          "tweets": 630.3,
          "twitter_trend": "#TheBachelor"
         },
         {
          "count (thousands)": "663.2",
          "day": "11-Mar",
          "hashtag": "yes",
          "hr": 18,
          "rank": 50,
          "tweets": 663.2,
          "twitter_trend": "#TheBachelor"
         },
         {
          "count (thousands)": "134.9",
          "day": "12-Mar",
          "hashtag": "yes",
          "hr": 10,
          "rank": 14,
          "tweets": 134.9,
          "twitter_trend": "#TheBachelor"
         },
         {
          "count (thousands)": "599.7",
          "day": "10-Mar",
          "hashtag": "yes",
          "hr": 10,
          "rank": 22,
          "tweets": 599.7,
          "twitter_trend": "#COVID2019"
         },
         {
          "count (thousands)": "567.2",
          "day": "10-Mar",
          "hashtag": "yes",
          "hr": 18,
          "rank": 45,
          "tweets": 567.2,
          "twitter_trend": "#COVID2019"
         },
         {
          "count (thousands)": "847.1",
          "day": "17-Mar",
          "hashtag": "yes",
          "hr": 18,
          "rank": 2,
          "tweets": 847.1,
          "twitter_trend": "#COVID2019"
         },
         {
          "count (thousands)": "1600",
          "day": "10-Mar",
          "hashtag": "yes",
          "hr": 10,
          "rank": 26,
          "tweets": 1600,
          "twitter_trend": "#coronavirus"
         },
         {
          "count (thousands)": "1700",
          "day": "10-Mar",
          "hashtag": "yes",
          "hr": 18,
          "rank": 47,
          "tweets": 1700,
          "twitter_trend": "#coronavirus"
         },
         {
          "count (thousands)": "1000",
          "day": "11-Mar",
          "hashtag": "yes",
          "hr": 10,
          "rank": 27,
          "tweets": 1000,
          "twitter_trend": "#COVID19"
         },
         {
          "count (thousands)": "3000",
          "day": "18-Mar",
          "hashtag": "yes",
          "hr": 10,
          "rank": 26,
          "tweets": 3000,
          "twitter_trend": "#COVID19"
         },
         {
          "count (thousands)": "3200",
          "day": "19-Mar",
          "hashtag": "yes",
          "hr": 10,
          "rank": 5,
          "tweets": 3200,
          "twitter_trend": "#COVID19"
         },
         {
          "count (thousands)": "2800",
          "day": "11-Mar",
          "hashtag": "no",
          "hr": 18,
          "rank": 29,
          "tweets": 2800,
          "twitter_trend": "Biden"
         },
         {
          "count (thousands)": "1800",
          "day": "12-Mar",
          "hashtag": "no",
          "hr": 10,
          "rank": 19,
          "tweets": 1800,
          "twitter_trend": "Biden"
         },
         {
          "count (thousands)": "835.2",
          "day": "12-Mar",
          "hashtag": "no",
          "hr": 10,
          "rank": 7,
          "tweets": 835.2,
          "twitter_trend": "Tom Hanks"
         },
         {
          "count (thousands)": "747.9",
          "day": "13-Mar",
          "hashtag": "no",
          "hr": 10,
          "rank": 14,
          "tweets": 747.9,
          "twitter_trend": "Tom Hanks"
         },
         {
          "count (thousands)": "2400",
          "day": "12-Mar",
          "hashtag": "no",
          "hr": 10,
          "rank": 8,
          "tweets": 2400,
          "twitter_trend": "COVID-19"
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          "#WorldDownSyndromeDay",
          "#WrestleOttawa",
          "#YEGTechCares",
          "#YIAYhi",
          "#YouCanTellAlotAboutPeopleFrom",
          "#abed",
          "#alertNotAnxious",
          "#asklauv",
          "#battleofmohawkpark",
          "#bcedchat",
          "#bcwinechat",
          "#boycott",
          "#budgetquebec",
          "#communityspirit",
          "#covid19Canada",
          "#covid19bc",
          "#covid19novascotia",
          "#covid19ottawa",
          "#covidkindness",
          "#covidpoème",
          "#covidtoronto",
          "#cusma",
          "#day1",
          "#dropkickmurphys",
          "#ezrastreet",
          "#fullmoon",
          "#futureproven",
          "#hoeforxuxiisoverparty",
          "#hs3atmidnight",
          "#immunocompromised",
          "#learningfromhome",
          "#lesgens",
          "#lockdownontario",
          "#mavsbotb2020",
          "#mcgillproud",
          "#nbasuspended",
          "#newcitiesglobalgoals",
          "#prison",
          "#propagelinfopaslevirus",
          "#samplesource",
          "#screenshotsaturday",
          "#stockmarketcrash",
          "#stpatricksday2020",
          "#stroopwafel",
          "#sundayscrum",
          "#supportlocalbusiness",
          "#tlmep",
          "#twug",
          "#unfathomable",
          "#yegtransit",
          "#직찍직꾸폴꾸",
          "$82 Billion",
          "1 in Canada",
          "3% of GDP",
          "ALL Canadians",
          "Addison Rae",
          "Air Canada",
          "All NHL",
          "All of Canada",
          "Andersen",
          "As of Wednesday",
          "BOLD CHALLENGE",
          "Bank of Canada",
          "Beware the Ides of March",
          "Bill Morneau",
          "Brewer",
          "Burkina Faso",
          "CBC News Network",
          "CN Tower",
          "Canada Student Loans",
          "Canada and the United States",
          "Capitale-Nationale",
          "Catch and Kill",
          "Charlie Sheen",
          "Christine Elliott",
          "Come From Away",
          "D-DAY",
          "Dana Carvey",
          "Dead Space",
          "Dithering",
          "Downtown Nashville",
          "Dr. Theresa Tam",
          "Ed Martin",
          "Emergency Measures Act",
          "Emergency Support Benefit",
          "Except Americans",
          "FAN SINCE",
          "FIRST COW",
          "Favourite All-Time Canuck",
          "First Ministers",
          "François Legault",
          "Gilead",
          "Global Affairs",
          "GoodLife",
          "Gronk",
          "Happy Birthday Henry",
          "Happy Birthday Zoey",
          "Has Benning",
          "Health Minister Patty Hajdu",
          "Hockey Canada",
          "How Canada",
          "Hyman",
          "Italy and Spain",
          "Italy or Iran",
          "Ivy League",
          "Jack Ma",
          "Jagmeet",
          "Jags",
          "Jeremy Jacobs",
          "Joe Budden",
          "Joe Montana",
          "Jose Bautista",
          "Josh Gordon",
          "Katz",
          "Ken King",
          "Kyler Murray",
          "LA Times",
          "LCBO",
          "LEAST FAV",
          "La LNH",
          "La MLS",
          "Lanaudière",
          "Laurentian",
          "Le PM",
          "Legault",
          "Major League Soccer",
          "Mario Lemieux",
          "Marleau",
          "Mayor Ryan",
          "McCafé",
          "Monday and Tuesday",
          "Muskrat Falls",
          "NFC West",
          "NFLPA",
          "NSAIDs",
          "National Hockey League",
          "National Lacrosse League",
          "National Newspaper Awards",
          "Njoku",
          "No NHL",
          "Noah Juulsen",
          "Ottawa Public Health",
          "Our Prime Minister",
          "Overdrive",
          "PDAC",
          "PGA Tour",
          "PM Trudeau",
          "PS4 Pro",
          "Parks Canada",
          "Pays-Bas",
          "Pierre Bruneau",
          "Planet of the Apes",
          "Porter Airlines",
          "Premier Doug Ford",
          "Premier Dwight Ball",
          "Princess Cruises",
          "Reaching Home",
          "Richard Marx",
          "Rideau Cottage",
          "Robert Fife",
          "Rochester",
          "Ryerson",
          "Régis Labeaume",
          "SNC-Lavalin",
          "SSDs",
          "Salmon Arm",
          "Schlatter",
          "Second Cup",
          "Service Canada",
          "Sheridan",
          "Slapshot",
          "Snowflake and Safespace",
          "St. Hubert",
          "Stidham",
          "Strange Brew",
          "Sudbury",
          "Sunnybrook Research Institute",
          "Sunwing",
          "Swoop",
          "The Breakfast Club",
          "The Killers",
          "Thierry Henry",
          "Todd Gurley",
          "Toronto and Montreal",
          "Trevor Lawrence",
          "Trubisky",
          "U of T",
          "US Open",
          "Undefeated",
          "UofA",
          "Valero Texas Open",
          "Vancouver and Calgary",
          "Wednesday and Thursday",
          "William Nylander",
          "Wishing Sophie",
          "Youngblood",
          "amari cooper",
          "audrey gagnon",
          "big six",
          "canada and the u.s.",
          "covid-19 in sask",
          "fast 9",
          "fav non-hab",
          "hedman",
          "mccaw",
          "nathan mackinnon",
          "santé canada",
          "wheel of fortune",
          "Éric Salvail"
         ],
         "type": "ordinal"
        }
       },
       "mark": "rect",
       "title": "25 higher twitter trends in Canada, from March 10th to 19th"
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 4 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Heatmap\n",
    "df_4 = pd.merge(df, pd.DataFrame(my_sort[:25]).rename(columns={0:\"twitter_trend\"}), how=\"inner\", on=[\"twitter_trend\", \"twitter_trend\"])\n",
    "df_4\n",
    "alt.Chart(df_4).mark_rect().encode(\n",
    "    alt.Y('twitter_trend:O', sort=my_sort),\n",
    "    x='day:O',\n",
    "    color='tweets:Q',\n",
    "    tooltip=['twitter_trend', 'day', 'tweets']\n",
    ").properties(\n",
    "    title=\"25 higher twitter trends in Canada, from March 10th to 19th\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Percentage from total: 22.9 %\n",
      "Percentage from top 25: 37.3 %\n"
     ]
    }
   ],
   "source": [
    "# Covid related hashtags and/or strings\n",
    "\n",
    "# numerator\n",
    "denominator_total = sum(df_3['my_sum'])\n",
    "denominator_25 = sum(df_3['my_sum'][:25])\n",
    "\n",
    "# denominator\n",
    "numerator=0\n",
    "for i in ['COVID-19', '#COVID19', '#coronavirus', '#COVID2019', 'Chinese Virus']:\n",
    "    numerator += float(df_3[df_3.twitter_trend == i]['my_sum'])\n",
    "\n",
    "# percentage\n",
    "print(\"Percentage from total:\", round(numerator / denominator_total * 100, 1),\"%\")\n",
    "print(\"Percentage from top 25:\",round(numerator / denominator_25 * 100, 1), \"%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this twitter trends in Canada from March 10th to 19th, we found that 5 of the 25 higher trends were related with Covid Virus (`COVID-19`, `#COVID19`, `#coronavirus`, `#COVID2019`, `Chinese Virus`). These 5 hashtags and/or strings represent 22.9% of all twitter trends, and 37.3% of the top 25 higher trends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total time to run this notebook: 0.44 seconds.\n"
     ]
    }
   ],
   "source": [
    "print(\"Total time to run this notebook:\", np.round((time.time() - START), 2), \"seconds.\")"
   ]
  },
  {
   "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": "3.7.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}