hashtag_usage_through_time.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2776ca1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import re\n",
    "from datetime import datetime\n",
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b4a70dcf",
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets = pd.read_csv('./data/WorldCup/tweets_clean.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "dd9162a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "tweets['created_at'] = tweets.created_at.apply(lambda str_date: datetime.strptime(str_date[:10], '%Y-%m-%d').date())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ce1044a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "all_downloaded_dates = list(tweets.created_at)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "60e2cce3",
   "metadata": {},
   "outputs": [],
   "source": [
    "downloaded_dates_with_occ = Counter(all_downloaded_dates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7d6b8cdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# hardcoding them to determine order\n",
    "downloaded_dates = [\n",
    "         datetime(2022, 11, 21).date(),\n",
    "         datetime(2022, 11, 23).date(),\n",
    "         datetime(2022, 11, 24).date(),\n",
    "         datetime(2022, 11, 25).date(),\n",
    "         datetime(2022, 11, 26).date(),\n",
    "         datetime(2022, 11, 27).date(),\n",
    "         datetime(2022, 11, 28).date(),\n",
    "         datetime(2022, 11, 29).date(),\n",
    "         datetime(2022, 11, 30).date(),\n",
    "         datetime(2022, 12, 1).date(),\n",
    "         datetime(2022, 12, 2).date(),\n",
    "         datetime(2022, 12, 3).date(),\n",
    "         datetime(2022, 12, 4).date(),\n",
    "         datetime(2022, 12, 5).date(),\n",
    "         datetime(2022, 12, 18).date(),\n",
    "         datetime(2022, 12, 19).date(),\n",
    "         datetime(2022, 12, 20).date(),\n",
    "         datetime(2022, 12, 21).date()\n",
    "    ]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eba96643",
   "metadata": {},
   "source": [
    "### Set of used funtion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9cda8f50",
   "metadata": {},
   "outputs": [],
   "source": [
    "# funtion to tranform string (e.g. \"['I' ,'am', 'Hanz']\") to a list\n",
    "def list_capture(input_str: str):\n",
    "    input_str = input_str[1:-1]\n",
    "    just_commas = re.sub('\\'', '', input_str)\n",
    "    # removing spaces\n",
    "    no_spaces = re.sub(' ', '', just_commas)\n",
    "    \n",
    "    str_list = no_spaces.split(',')\n",
    "    \n",
    "    output_list = []\n",
    "    for ele in str_list:\n",
    "        output_list.append(str(ele))\n",
    "\n",
    "    return output_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a466efd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# funtion to get n most popular hashtag in given dataframe\n",
    "def get_most_popular_hashtags(df: pd.DataFrame, n_best: int):\n",
    "    all_hastags = []\n",
    "\n",
    "    for hashtags in df.hashtags_list:\n",
    "        hashtags = list_capture(hashtags)\n",
    "\n",
    "        all_hastags.extend(hashtags)\n",
    "\n",
    "    hashtags_occurences = dict(Counter(all_hastags))\n",
    "\n",
    "    most_popular_hashtags = list(dict(sorted(hashtags_occurences.items(), key=lambda item: item[1])).keys())[-n_best:]\n",
    "    \n",
    "    most_popular_hashtags.reverse()\n",
    "    return most_popular_hashtags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "dae01124",
   "metadata": {},
   "outputs": [],
   "source": [
    "# funtion which allows to get number of occurences for a given hashtag for each day\n",
    "def get_dates_of_hashtag(hashtag: str, df):\n",
    "    date_and_occurences = {}\n",
    "    \n",
    "    for date in downloaded_dates:\n",
    "        date_and_occurences[date] = 0\n",
    "\n",
    "    for _, row in df.iterrows():\n",
    "        if hashtag in list_capture(row.hashtags_list):\n",
    "            date_and_occurences[row.created_at] += 1 \n",
    "            \n",
    "    \n",
    "    return date_and_occurences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1f00fe75",
   "metadata": {},
   "outputs": [],
   "source": [
    "# funtion to count daily procentage of usage\n",
    "def get_daily_percentage(date_and_occurences, date_and_ntweets):\n",
    "    date_and_percentage = {}\n",
    "    \n",
    "    for date, occ_n in date_and_occurences.items():\n",
    "        date_and_percentage[date] = occ_n/date_and_ntweets[date] * 100\n",
    "        \n",
    "    return date_and_percentage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "758c5110",
   "metadata": {},
   "outputs": [],
   "source": [
    "messi = get_dates_of_hashtag('messi', tweets)\n",
    "\n",
    "messi_percentage = get_daily_percentage(messi, downloaded_dates_with_occ)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "020ab472",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "mahsa = get_dates_of_hashtag('mahsaamini', tweets)\n",
    "\n",
    "mahsa_percentage = get_daily_percentage(mahsa, downloaded_dates_with_occ)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2e04eaf2",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# some matplotlib magic\n",
    "fig, axs = plt.subplots(1, 2, figsize=(15,4))\n",
    "\n",
    "axs[0].bar(downloaded_dates, messi_percentage.values())\n",
    "axs[0].set_title(\"#messi popularity during days\")\n",
    "axs[0].set_ylabel(\"Usage of #Messi among all hashtags [%]\")\n",
    "\n",
    "\n",
    "axs[1].bar(downloaded_dates, mahsa_percentage.values())\n",
    "axs[1].set_title(\"#mahsaAmini popularity during days\")\n",
    "axs[1].set_ylabel(\"Usage of #MahsaAmini among all hashtags [%]\")\n",
    "\n",
    "\n",
    "plt.savefig('messi-mahsaamini-popularity.png')\n",
    "plt.gcf().autofmt_xdate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "9ccf365f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6hODF+1pKGo+nQo7IsplXp7Jdq/uKhU5d4BRzIiIqU6jTY8KqROQWlqBdIz989GQnyOV1N8PqVlx1hWQWOnWBqyMTEREAo1Fg2lfJSMnUIsBHiaXjYuGl9JA6LAA3Nvd0tbV0WOjUBa6OTEREAOb/dhJbjl2CUiHH52Ni0Lh+PalDsrixlg5bdKim/LiWDhGRu/vpUAYW/HEaAPDukA6IiWgocUQVtSy355UrzbxioVMXNGGmr1oWOkRE7ujIxTxM//oQAGBC70g8ERsmcUSVNfX3glIhx/VSAy5edZ2ZVyx06gJXRyYiclvZ2mJMWJUAnd6Ifq0D8eqAtlKHVCUPhRzNAl1vzysWOnXB3HVVlAuUuk6VTEREt1dcasDE1YnI0hajeaA3FoyIhsIBZljdimXmlQtNMWehUxfqNQA8TVUytBnSxkJERHVCCIEZ3x1Bcto1aOp5Yvm4u+Cn9pQ6rNtqFeR6A5JZ6NQFmaxc9xXX0iEicgef/3UW3yelQyGXYeGoLmhatiCfI7uxlg5bdKimOMWciMht/J5yCf/59QQA4I1H2qFXiwCJI6oe8xTz09kFMLjIzCsWOnWFU8yJiNzCyUv5mLIuCUIAI7uFY2yPCKlDqrYIf28oPeTQ6Y1Iu1IkdTg2wUKnrphbdDjFnIjIZV0tLMH4lQkoLDGgW2RDvP1oe8hkjjv4+GYKuQzNA02tOq7SfcVCp65Yuq5Y6BARuaJSgxHPrUlE6pUihDWsh0WjY+CpcL6PWcsKydmuMSDZ+f4EnJWl64pjdIiIXNFbG49h79kr8FYqsGzsXWjorZQ6pFpp5WIDklno1BXL6sjpgHCNAV5ERGSyes95rNmXCpkM+Hh4NFqH+EodUq21DDJ3XbFFh2rCL9T0taQAKL4maShERGQ7u0/n4K2fjgMA/vVAa/RvFyxxRNYxt+icuewaM69Y6NQVpRfg5W96zu4rIiKXcD6nEM+tOQiDUWBw51A817e51CFZLayhF1QecpTojbiQWyh1OFZjoVOXOMWciMhlaItLMX5VAvKul6JTWH28P7SjU82wuhWFXIYWLtR9xUKnLnGKORGRSzAYBV5cl4TT2QUI9lNh6ZgYqD0VUodlM+buq1MuMCDZZoXOwoULERkZCbVajZiYGOzYseOW52ZmZmLkyJFo3bo15HI5pk6dWumcpUuXonfv3mjQoAEaNGiA/v37Y//+/RXOeeuttyCTySo8QkJCbJWS7XF1ZCIil/CfX0/gz78vQ+Uhx9KxsQjyU0sdkk21LJtiftIFppjbpNDZsGEDpk6dipkzZyIpKQm9e/fGgAEDkJqaWuX5Op0OgYGBmDlzJjp16lTlOdu2bcOIESPw559/Ys+ePQgPD0dcXBzS0ysWCe3bt0dmZqblceTIEVukZB/suiIicnrfJF7Ekr/OAgDmPtEJHZvUlzYgO2gVxBadCubNm4dnnnkG48ePR9u2bTF//nyEhYVh0aJFVZ7ftGlTfPzxxxg7diw0Gk2V56xZswaTJ09G586d0aZNGyxduhRGoxG///57hfM8PDwQEhJieQQGBtoiJfuwdF2xRYeIyBklXriKf39n+g/1C/e0wMBOoRJHZB/mrquzlwuhNxgljsY6Vhc6JSUlSExMRFxcXIXjcXFx2L17t7WXtygqKkJpaSkaNmxY4fipU6cQGhqKyMhIDB8+HGfPnr3lNXQ6HbRabYVHnbJ0XXEHcyIiZ5Nx7TqeXZ2IEoMRce2CMe3+VlKHZDdNGtRDPU8FSgxGnM917j2vrC50cnJyYDAYEBxccd2A4OBgZGVlWXt5i1dffRWNGzdG//79Lce6deuGVatWYcuWLVi6dCmysrLQs2dP5ObmVnmNOXPmQKPRWB5hYWE2i69azF1X2kzA6NwVMhGROykq0WPCqgTkFOjQJsQX/x3WGXK588+wuhV5uZlXzt59ZbPByDdPqRNC2Gya3QcffIB169bhu+++g1p9Y8DXgAEDMHToUERFRaF///7YtGkTAGDlypVVXmfGjBnIy8uzPNLS6rhlxbcRIJMDxlKgMLtu701ERLUihMC/vj6MYxlaNPRWYunYWHirPKQOy+4sA5KdfIq51X9SAQEBUCgUlVpvsrOzK7Xy1MbcuXPx3nvv4bfffkPHjh1ve663tzeioqJw6tSpKn+uUqmgUqmsjqnWFB6mYkebbhqQ7OvAM8SIiAgAsOD309h0JBOeChkWj45BWEMvqUOqE5Y9r7LdvEVHqVQiJiYG8fHxFY7Hx8ejZ8+eVl37ww8/xOzZs/Hrr78iNjb2jufrdDqkpKSgUaNGVt3XrriLORGR0/jlSCb++9tJAMA7gzuga2TDO7zCdVh2MXfyriubtL1NmzYNY8aMQWxsLHr06IElS5YgNTUVkyZNAmDqMkpPT8eqVassr0lOTgYAFBQU4PLly0hOToZSqUS7du0AmLqrXn/9daxduxZNmza1tBj5+PjAx8f0y58+fToGDhyI8PBwZGdn45133oFWq8W4ceNskZZ9cIo5EZFTOJaRh2lfHQIA/KNXUwy7K1ziiOpWy7Ip5udyClFqMMJT4ZxrDNuk0Bk2bBhyc3Mxa9YsZGZmokOHDti8eTMiIiIAmBYIvHlNnejoaMvzxMRErF27FhERETh//jwA0wKEJSUlePzxxyu87s0338Rbb70FALh48SJGjBiBnJwcBAYGonv37ti7d6/lvg5JYx6QzCnmRESO6nK+DhNWJuB6qQG9WwZg5kNtpQ6pzjWuXw9eSgWKSgw4n1OIlsHOuSO7zUZTTZ48GZMnT67yZytWrKh0TIjb74hqLnhuZ/369dUJzbFoymZ6sUWHiMgh6fQGPLs6ARl5xWgW4I1PR3aBh5O2ZlhDLpehZZAPDl3Mw8lLBU5b6Ljfn5zU2HVFROSwhBCY+f1RHEy9Bl+1B5aOi4WmnqfUYUnGXNycdOJxOix06hpXRyYicljLd57DN4kXIZcBn43sguaBPlKHJKlWlinmLHSousyFTsElQK+TNhYiIrL48+9svLc5BQDw2sPt0KeVA28pVEfMU8x/OZqFUcv24tejWU63JQQLnbrm5Q94lC16qM2QNhYiIgIAnM7Ox5S1STAKYFhsGP7Rq6nUITmE7s388XBUI8hlwK7TuZj0ZSL6fPAnPv3jFC7nO8d/1lno1DWZjON0iIgcyLWiEoxfmYB8nR5dmzbE7MEdbLayv7NTeyrw2agu2P6ve/Bcv+Zo6K1ERl4x5m49iZ7v/44p65KQcP7KHScYScn117B2RJrGwJUzHKdDRCSxUoMRz689iPO5RWhcvx4Wje4CpQfbAG4W1tALrzzYBi/e1xK/HM3Eqj0XkJR6DRsPZWDjoQy0CfHF2B5NMTg6FF5KxyotHCsad8Ep5kREDuGdn49j1+lceCkVWDYuFv4+Em4T5ATUngoMiW6CIdFNcDQ9D6v3XMCPh9JxIisf//7+COZsTsHQmCYY0yPCYQZys2yVAruuiIgkt2bfBazccwEAMO/JzmjbyE/iiJxLh8Ya/Ofxjtg3oz9ee7gtmvp7IV+nx4rd53HfR9sxetk+hxi8zBYdKXCKORGRpPacycWbPx4DAEyPa4UHO3CT5drSeHlifO9meLpXJHaczsHqPefx+4ls7Dydg52ncxCqUePXl/rATy3NekQsdKSgYYsOEZFUUnOLMHlNIvRGgYGdQvH8PS2kDsklyOUy9G0ViL6tApF2pQhr96diw4E0RPh7S1bkACx0pOFn3sGcLTpERHUpv7gU41cdwNWiUkQ11uCDoR05w8oOyg9ezi0skTQWjtGRgrlFR5cHFGuljYWIyE0YjAIvbUjGyUsFCPJVYenYWNRTKqQOy6WpPRVoXL+epDGw0JGCyhdQa0zPOU6HiKhOzN36N35LyYbSQ44lY2MRolFLHRLVARY6UrFMMWehQ0Rkbz8kpWPRtjMAgA+GdkTnsPrSBkR1hoWOVCxTzNOkjYOIyMUlpV7Fy98eBgA81685Bkc3ljgiqkssdKRiHqfDrisiIrvJyivGs6sTUaI3on/bIPwrrrXUIVEdY6EjFQ1nXhER2dP1EgMmrk5Adr4OrYJ9MH94NORyzrByNyx0pGKZYs6uKyIiWxNC4OVvD+PwxTw08PLEsrF3wUfFFVXcEQsdqXB1ZCIiu/nsz9P46VAGPOQyLBodg3B/L6lDIomw0JGKZXXkdMCBt7cnInI2W45lYe7WkwCAtwe1R/dm/hJHRFJioSMV31AAMsCgAwpzpI6GiMglpGRq8dKGZADAuB4RGNUtQtqASHIsdKTioQR8gk3PtdzziojIWjkFOoxfmYCiEgN6tfDH64+0kzokcgAsdKTEzT2JiGyiRG/E5C8PIv3adTT198JnI7vAQ8GPOGKhIy1OMScispoQAq//cBT7z1+Br8oDy8bFor6XUuqwyEGw0JESp5gTEVntf7vOY0NCGuQyYMHIaLQI8pU6JHIgLHSkxNWRiYis8tfJy3hn03EAwIwBbXFP6yCJIyJHw0JHSpauK47RISKqqTOXC/D82oMwCuDxmCYY3ztS6pDIAbHQkZIfx+gQEdVGXlEpJqxMQH6xHjERDfDukA6Qybi9A1XGQkdK5hadgizAUCptLERETkJvMOKFdQdxNqcQoRo1Fo+OgcpDIXVY5KBY6EjJOxCQewLCCORnSh0NEZFTeG/zCew4lYN6ngosGRuLQF+V1CGRA2OhIyW5vOJWEEREdFsbDqTii13nAADznuyEDo01EkdEjo6FjtT8OCCZiKg6Dpy/gtd+OAoAmNq/JQZENZI4InIGLHSkZplizkKHiOhW0q4UYdLqRJQaBB6KCsGUe1tKHRI5CZsVOgsXLkRkZCTUajViYmKwY8eOW56bmZmJkSNHonXr1pDL5Zg6dWqV53377bdo164dVCoV2rVrh++//96q+zokro5MRHRbhTo9JqxKQG5hCdqH+mHuE50gl3OGFVWPTQqdDRs2YOrUqZg5cyaSkpLQu3dvDBgwAKmpqVWer9PpEBgYiJkzZ6JTp05VnrNnzx4MGzYMY8aMwaFDhzBmzBg8+eST2LdvX63v65D8uN8VEdGtGI0CL21IxomsfAT4qLB0bCy8lB5Sh0VORCaEENZepFu3bujSpQsWLVpkOda2bVsMHjwYc+bMue1r+/Xrh86dO2P+/PkVjg8bNgxarRa//PKL5diDDz6IBg0aYN26dVbfFwC0Wi00Gg3y8vLg5+dXnVRt7+RWYO0TQEgUMGmnNDEQETmoj7b+jU/+OA2lQo51E7sjJqKB1CGRA6jJ57fVLTolJSVITExEXFxcheNxcXHYvXt3ra+7Z8+eStd84IEHLNeszX11Oh20Wm2Fh+S4gzkRUZU2HsrAJ3+cBgC891gUixyqFasLnZycHBgMBgQHB1c4HhwcjKysrFpfNysr67bXrM1958yZA41GY3mEhYXVOj6bMXddXb8KlBRJGwsRkYM4fPEa/vX1IQDAxD7N8HhME4kjImdls8HINy+9LYSwejnu6lyzJvedMWMG8vLyLI+0NAfYNVytAZRlO+1yc08iIlzSFmPCqgTo9Ebc0zoQrzzYRuqQyIlZPaIrICAACoWiUitKdnZ2pdaWmggJCbntNWtzX5VKBZXKwVbQlMlM3VeXTwB5aUAAp0wSkfsqLjVg4upEXNLq0CLIBx+PiIaCM6zICla36CiVSsTExCA+Pr7C8fj4ePTs2bPW1+3Ro0ela27dutVyTXvdVxKcYk5EBCEEXv32MA6lXYOmnieWjY2Fn9pT6rDIydlkjt60adMwZswYxMbGokePHliyZAlSU1MxadIkAKYuo/T0dKxatcrymuTkZABAQUEBLl++jOTkZCiVSrRr1w4A8OKLL6JPnz74z3/+g0GDBuHHH3/Eb7/9hp07d1b7vk6DU8yJiLB4+1n8kJwBhVyGRaO6oGmAt9QhkQuwSaEzbNgw5ObmYtasWcjMzESHDh2wefNmREREADAtEHjz2jbR0dGW54mJiVi7di0iIiJw/vx5AEDPnj2xfv16vPbaa3j99dfRvHlzbNiwAd26dav2fZ2GuUWHqyMTkZv67fglfLDlBADgrYHt0LNFgMQRkauwyTo6zsoh1tEBgOS1wA/PAc3uAcb+IF0cREQS+DsrH48t3IXCEgNGdQvHu0OipA6JHFydrqNDNsCuKyJyU1cKSzB+1QEUlhjQvVlDvPVoe6lDIhfDQscRWLqu0gH3bWAjIjdTojfiuS8TkXblOsIbemHRqBh4KvixRLbFd5QjMLfolBaZFg4kInJxQgi89dMx7Dt3BT4qDywbF4sG3kqpwyIXxELHEXiqAe9A03N2XxGRG1i99wLW7kuFTAZ8PLwzWgX7Sh0SuSgWOo6C43SIyE3sOp2Dt386DgB45cE2uK9t7ReXJboTFjqOovw4HSIiF3UupxCT1xyEwSjwWHRjPNunmdQhkYtjoeMoLKsjs0WHiFyTtrgU41ceQN71UnQOq4/3Houyek9EojthoeMo2HVFRC7MYBSYsi4JZy4XIsRPjSVjYqD2VEgdFrkBFjqOgl1XROTC3v8lBdv+vgy1pxxLx8YiyE8tdUjkJljoOAp2XRGRi/om8SKW7jgHAPjw8U6IaqKROCJyJyx0HIW560qbARgN0sZCRGQjiReu4N/fHQEATLm3BQZ2CpU4InI3LHQchW8IIFMAwgAUXJI6GiIiq6Vfu45nVyeixGDEA+2DMbV/K6lDIjfEQsdRyBWAX9n/dNh9RUROrqhEjwkrE5BTUII2Ib6Y92RnyOWcYUV1j4WOI+E4HSJyAUajwD+/OoTjmVr4eyuxbFwsvFUeUodFboqFjiPhFHMicgEf/34KvxzNgqdChsVjYtCkgZfUIZEbY6HjSDTmAcmcYk5EzmnT4Ux8/PspAMC7g6NwV9OGEkdE7o6FjiPRhJm+skWHiJzQ0fQ8/PPrZADA070i8eRdYdIGRAQWOo6FXVdE5KSy84sxYVUCikuN6NMqEP9+qI3UIREBYKHjWLg6MhE5IZ3egEmrE5GZV4xmgd74ZEQ0PBT8eCHHwHeiIzEXOoWXgdJiaWMhIqoGIQRmfHcEB1OvwU/tgWVjY6Gp5yl1WEQWLHQcSb0GgEc903O26hCRE1i64yy+O5gOhVyGz0Z1QbNAH6lDIqqAhY4jkcnYfUVETuPPE9mY88sJAMBrD7dF75aBEkdEVBkLHUej4YBkInJ8py7lY8q6JAgBDL8rDE/1bCp1SERVYqHjaCyrI7NFh4gc09XCEoxflYB8nR5dmzbErEEdIJNxewdyTCx0HI2fudBJkzYOIqIqlBqMeH7tQVzILUKTBvWwaHQXKD34UUKOi+9OR8MxOkTkwGb/fBy7z+TCS6nA0rGx8PdRSR0S0W2x0HE0HKNDRA7qy70XsGrPBchkwPxhndG2kZ/UIRHdEQsdR+PHMTpE5Hj2nMnFWxuPAQCmx7VGXPsQiSMiqh4WOo7G3KJTkg8U50kbCxERgNTcIjy3JhF6o8CjnUIxuV9zqUMiqjYWOo5G6W1aOBBg9xURSS6/uBTPrDyAa0Wl6NhEgw8e78gZVuRUWOg4Ik4xJyIHYDAKTF2fjFPZBQjyVWHJmFioPRVSh0VUIyx0HBGnmBORA/hwy9/4/UQ2lB5yLBkbixCNWuqQiGrMZoXOwoULERkZCbVajZiYGOzYseO252/fvh0xMTFQq9Vo1qwZFi9eXOHn/fr1g0wmq/R4+OGHLee89dZblX4eEuICA+TM43Q4xZyIJPJ90kUs3n4GAPDh4x3ROay+tAER1ZJNCp0NGzZg6tSpmDlzJpKSktC7d28MGDAAqampVZ5/7tw5PPTQQ+jduzeSkpLw73//G1OmTMG3335rOee7775DZmam5XH06FEoFAo88cQTFa7Vvn37CucdOXLEFilJi11XRCShpNSreOVb07+lk/s1x6DOjSWOiKj2PGxxkXnz5uGZZ57B+PHjAQDz58/Hli1bsGjRIsyZM6fS+YsXL0Z4eDjmz58PAGjbti0SEhIwd+5cDB06FADQsGHDCq9Zv349vLy8KhU6Hh4ertGKU56l64qDkYmobmXmXcfE1Yko0RvRv20wpse1ljokIqtY3aJTUlKCxMRExMXFVTgeFxeH3bt3V/maPXv2VDr/gQceQEJCAkpLS6t8zfLlyzF8+HB4e3tXOH7q1CmEhoYiMjISw4cPx9mzZ28Zq06ng1arrfBwSJbVkVnoEFHduV5iwMRVibicr0PrYF/MH94ZcjlnWJFzs7rQycnJgcFgQHBwcIXjwcHByMrKqvI1WVlZVZ6v1+uRk5NT6fz9+/fj6NGjlhYjs27dumHVqlXYsmULli5diqysLPTs2RO5ublV3nfOnDnQaDSWR1hYWE1SrTuW1ZHTAaNR2liIyC0IIfCvbw7hSHoeGnorsWxcLHxUNmn0J5KUzQYj37yughDitmstVHV+VccBU2tOhw4d0LVr1wrHBwwYgKFDhyIqKgr9+/fHpk2bAAArV66s8p4zZsxAXl6e5ZGW5qCzmnwbAZABxlKg8LLU0RCRG/j0j9P4+XAmPOQyLBzVBWENvaQOicgmrC50AgICoFAoKrXeZGdnV2q1MQsJCanyfA8PD/j7+1c4XlRUhPXr11dqzamKt7c3oqKicOrUqSp/rlKp4OfnV+HhkBSeZcUO2H1FRHb369EsfBR/EgAwa1AHdG/mf4dXEDkPqwsdpVKJmJgYxMfHVzgeHx+Pnj17VvmaHj16VDp/69atiI2NhaenZ4XjX331FXQ6HUaPHn3HWHQ6HVJSUtCoUaMaZuGAuLknEdWB4xlavLQhGQDwVM+mGNktXNqAiGzMJl1X06ZNw7Jly/DFF18gJSUFL730ElJTUzFp0iQApi6jsWPHWs6fNGkSLly4gGnTpiElJQVffPEFli9fjunTp1e69vLlyzF48OBKLT0AMH36dGzfvh3nzp3Dvn378Pjjj0Or1WLcuHG2SEtanGJORHaWU6DDhFUJuF5qwN0tAvDaw22lDonI5mwy0mzYsGHIzc3FrFmzkJmZiQ4dOmDz5s2IiIgAAGRmZlZYUycyMhKbN2/GSy+9hM8++wyhoaFYsGCBZWq52cmTJ7Fz505s3bq1yvtevHgRI0aMQE5ODgIDA9G9e3fs3bvXcl+n5scWHSKyH53egOe+TET6teto6u+FT0dGw0PBxfLJ9ciEeRSwG9JqtdBoNMjLy3O88Tp7FwG/vgq0GwQ8uUrqaIjIhQgh8Mq3h/FVwkX4qj3w/eReaBHkI3VYRNVWk89vlu+Oil1XRGQnX+w6j68SLkIuAz4ZEc0ih1waCx1Hxa4rIrKD7Scv491NxwEA/36oLfq1DpI4IiL7YqHjqDRlixkWXAL0JdLGQkQu4czlAryw9iCMAngipgmeuTtS6pCI7I6FjqPyDgAUKgACyM+QOhoicnJ5RaUYvzIB+cV6xEQ0wDtDOtx2UVciV8FCx1HJZBW3giAiqiW9wYgX1h3EuZxChGrUWDw6BioPhdRhEdUJFjqOjON0iMgG3tmUgh2nclDPU4Gl42IR6KuSOiSiOsNCx5FxF3MistL6/alYsfs8AOC/wzqhfahG2oCI6hgLHUfGKeZEZIV9Z3Px+o9HAQAv9W+FBzu4wPY4RDXEQseRseuKiGop7UoRnltzEKUGgYc7NsKU+1pIHRKRJFjoODLzFHMtW3SIqPoKdHpMWJWAK4Ul6NDYD3Mf78QZVuS2WOg4MsusqzRp4yAip2E0Cry0IRknsvIR4KPCkjGxqKfkDCtyXyx0HJm566o4D9AVSBsLETmFj+L/RvzxS1B6yLFkbAxC69eTOiQiSbHQcWRqP0BVNkOC3VdEdAc/Jqfjsz/PAADefywKXcIbSBwRkfRY6Dg6dl8RUTUcSruGl785DAB4tk8zPNalicQRETkGFjqOjlPMiegOLmmLMWFVAnR6I+5tE4SXH2wjdUhEDoOFjqPjFHMiuo3iUgMmrkpAdr4OLYN88PHwzlDIOcOKyIyFjqMzd11xjA4R3UQIgVe+PYxDF/NQ38sTy8bFwlftKXVYRA6FhY6jM6+lwxYdIrrJou1n8GNyBjzkMiwc1QUR/t5Sh0TkcFjoODp2XRFRFeKPX8KHW/4GALz5aHv0bB4gcUREjomFjqOzbOyZDgghbSxE5BBOZGkxdX0ShABGdw/HmO4RUodE5LBY6Dg6v1DTV30xUJQrbSxEJLncAh3Gr0xAYYkBPZr5482B7aUOicihsdBxdB4qwDvI9JzdV0RurURvxHNrDuLi1esIb+iFhaO6wFPBf8aJbod/Q5xB+e4rInJLQgi8ufEY9p+7Ah+VB5aPi0UDb6XUYRE5PBY6zkDDAclE7m7VngtYtz8VMhmwYERntAz2lTokIqfAQscZcIo5kVvbeSoHs34+DgB49cE2uLdNsMQRETkPFjrOgFPMidzWuZxCTF6TCINR4LHoxpjYp5nUIRE5FRY6zoBjdIjcUt71Ujyz8gC0xXpEh9fHe49FQSbj9g5ENcFCxxlYNvZkiw6RuzAYBaasS8LZy4VopFHj8zExUHsqpA6LyOmw0HEG5q6r/EzAoJc2FiKqE3M2p2D7yctQe8qxdGwsgnzVUodE5JRY6DgDn2BA7gkII1CQJXU0RGRnXyWkYdnOcwCAuU90QofGGokjInJeLHScgVwO+DUyPWf3FZFLSzh/BTO/PwIAmHJfSzzSMVTiiIicGwsdZ8Ep5kQuL/3adUz6MhGlBoEBHUIw9b6WUodE5PRsVugsXLgQkZGRUKvViImJwY4dO257/vbt2xETEwO1Wo1mzZph8eLFFX6+YsUKyGSySo/i4mKr7uu0OMWcyKUV6vQYvzIBOQUlaNvIDx892QlyOWdYEVnLJoXOhg0bMHXqVMycORNJSUno3bs3BgwYgNTU1CrPP3fuHB566CH07t0bSUlJ+Pe//40pU6bg22+/rXCen58fMjMzKzzU6hsD8mp6X6dmXh2ZU8yJXI7RKPDPrw4hJVOLAB8llo6NgZfSQ+qwiFyCTQqdefPm4ZlnnsH48ePRtm1bzJ8/H2FhYVi0aFGV5y9evBjh4eGYP38+2rZti/Hjx+Ppp5/G3LlzK5wnk8kQEhJS4WHNfZ2aZYo5Cx0iVzP/91P49VgWPBUyLB4dgyYNvKQOichlWF3olJSUIDExEXFxcRWOx8XFYffu3VW+Zs+ePZXOf+CBB5CQkIDS0lLLsYKCAkRERKBJkyZ45JFHkJSUZNV9dTodtFpthYfT8DMXOmnSxkFENvXz4Qws+P0UAODdIVGIbdpQ4oiIXIvVhU5OTg4MBgOCgyvuvRIcHIysrKqnQmdlZVV5vl6vR05ODgCgTZs2WLFiBTZu3Ih169ZBrVajV69eOHXqVK3vO2fOHGg0GssjLCysVjlLgqsjE7mco+l5mP71IQDA+Lsj8WSsE/2bROQkbDYY+eZlyYUQt12qvKrzyx/v3r07Ro8ejU6dOqF379746quv0KpVK3zyySe1vu+MGTOQl5dneaSlOVHriHmMTlEuUFIkbSxEZLXs/GJMWJWA4lIj+rYKxIyH2kodEpFLsnq0W0BAABQKRaVWlOzs7EqtLWYhISFVnu/h4QF/f/8qXyOXy3HXXXdZWnRqc1+VSgWVSlWtvByOuj7g6Q2UFgLaDCCghdQREVEtFZca8OzqRGTmFaNZoDcWjIiGgjOsiOzC6hYdpVKJmJgYxMfHVzgeHx+Pnj17VvmaHj16VDp/69atiI2NhaenZ5WvEUIgOTkZjRo1qvV9nZpMVq77ilPMiZyVEAL//u4IklKvQVPPE8vH3QVNvar/3SMi69lk/uK0adMwZswYxMbGokePHliyZAlSU1MxadIkAKYuo/T0dKxatQoAMGnSJHz66aeYNm0aJkyYgD179mD58uVYt26d5Zpvv/02unfvjpYtW0Kr1WLBggVITk7GZ599Vu37uhxNYyDnb66lQ+TElvx1Ft8lpUMhl+GzkV0QGeAtdUhELs0mhc6wYcOQm5uLWbNmITMzEx06dMDmzZsREREBAMjMzKywtk1kZCQ2b96Ml156CZ999hlCQ0OxYMECDB061HLOtWvXMHHiRGRlZUGj0SA6Ohp//fUXunbtWu37uhxOMSdyan+cuIT3fz0BAHj94ba4u2WAxBERuT6ZMI8CdkNarRYajQZ5eXnw8/OTOpw72/YfYNt7QPQYYNCnUkdDRDVw8lI+Hlu4GwU6PUZ0Dcd7QzrcdsIGEd1aTT6/udeVM+HqyERO6WphCcavTECBTo+ukQ3x9qPtWeQQ1REWOs7EVbuuLh0HUvdJHQWRXZQajJi85iBSrxShSYN6WDw6BkoP/tNLVFf4t82ZWFZHvgi4So+joRRYORBY8TBwzYnWNSKqplk/Hcees7nwViqwbFwsGnorpQ6JyK2w0HEm5q6r0kKg+JqkodhMRhJQlAMYS4ELVW/dQeSsVu+9gNV7L0AmA+YPj0abECcYC0jkYljoOBPPeoBX2YKKrjLF/NxfN56nstAh17H7TA7e2ngMADA9rjXub1f1QqZEZF8sdJyNq43TqVDo7JUuDiIbupBbiMlrDsJgFBjUORST+zWXOiQit8VCx9m40i7meh2QVm4Q8uUTQNEV6eIhsoH84lI8szIB14pK0amJBv8Z2pEzrIgkxELH2bjSFPOLBwB9MeATDPiX7d2VxtlX5LwMRoEX1yfjdHYBgv1UWDI2FmpPhdRhEbk1FjrOxpW6rs7tMH1tejcQ3sP0PHWPdPEQWemDLSfwx4lsqDzkWDImFsF+aqlDInJ7LHScjV9Zi44rDEY+X1boRPYpV+hwnA45p28TL+Lz7WcBAB883hGdwupLGxARAbDRXldUhzRhpq/OvoN5SRGQtt/0vGlv0+7sAJB+ECi9bpphRuQkDqZexYzvjgAAnr+nOQZ1bixxRERkxhYdZ2MZo5MBGA3SxmKNtH2mtXP8GgMNmwENIk1jdYylprV1iJxExrXrmLgqESUGI+5vF4x/3t9a6pCIqBwWOs7GJwSQyQGjHijIljqa2ivfbSWTmR7h3U3HOE6HnMT1EgMmrk5AToEObUJ88d9hnSGXc4YVkSNhoeNsFB6Ab6jpuTPPvDKvn9O0941jHKdDTkQIgenfHMLRdC0aeiuxdGwsfFQcDUDkaFjoOCNz95WzrqWjyzeNxQGAyPKFjrlFZx9gNNZ9XEQ18Mkfp7HpcCY85DIsGtUFYQ29pA6JiKrAQscZOfsU89S9gDAADZoC9cNvHA+OAjy9AV0ecDlFsvCI7uSXI5mYF38SAPDO4A7o1sxf4oiI6FZY6DgjZ59ifm676Wv5bivA1C0XdpfpOcfpkIM6lpGHaV8dAgA81bMphncNv8MriEhKLHSckblFx1mnmJ8rNxD5ZhynQw7scr4OE1Ym4HqpAb1bBuC1h9tKHRIR3QELHWfkzF1X168CWYdNz29u0QHKjdNhoUOORac3YNKXicjIK0ZkgDc+HdEFHgr+E0rk6Pi31Bk5c9fVhd2AMAL+LQG/RpV/3jgWkClMA62vOelga3I5Qgi89v1RJF64Cl+1B5aNi4XGy1PqsIioGljoOCPz6siF2aYdwJ2JpduqitYcAFD5AI06mp5zg09yEMt3nsPXiRchlwGfjuyC5oE+UodERNXEQscZeTUEPMo2C3S2tXTO32Z8jhk3+CQH8uff2Xhvs2kW4MyH26Fvq0CJIyKimmCh44xksnLdV05U6BTmAJeOmp5XNT7HjON0yEGczi7AlLVJMArgydgmeLpXU6lDIqIaYqHjrCwDkp1onM75naavQe0A74BbnxdWVuhcOgZcv2b3sIiqcq2oBONXHkC+To/YiAaYPbgDZDJu70DkbFjoOCtnnGJu3vbhdt1WAOAbbNroEwK4eMDuYRHdTG8w4oW1STifW4TG9eth8ZgYqDwUUodFRLXAQsdZOeMUc/P4nNt1W5lxnA5J6J1NKdh5OgdeSgWWjo1FgI9K6pCIqJZY6DgrZ5tinp8F5JwEIAOa9rrz+RynQxJZuy8VK3afBwDMe7Iz2oX6SRsQEVmFhY6zsnRdOUmLjnlaeaOOQL0Gdz7f3KKTnuh8U+jJae09m4s3fjQNmP/n/a3wYIcQiSMiImux0HFWzjYY+XzZ+JzqdFsBgH8LwMsf0BcDmYfsFxdRmbQrRXjuy0TojQKPdGyEF+5tIXVIRGQDLHSclbnrSqcFirXSxlIdloUC+1bvfJmM43SozhTo9Bi/MgFXi0oR1ViDDx/vxBlWRC6ChY6zUvkA6vqm547efXUtDbh6zrS1Q0SP6r+O43SoDhiNAlPXJ+PvS/kI9FVhydgY1FNyhhWRq2Ch48ycpfvKPNsqNBpQ+Vb/deV3MjcabR8XEYC5W//GbymXoPSQY8mYGDTS1JM6JCKyIRY6zsxZCp1z1dj2oSohHQGPesD1K0DuKdvHRW7vx+R0LNx2BgDwn6FRiA6vxkB5InIqNit0Fi5ciMjISKjVasTExGDHjh23PX/79u2IiYmBWq1Gs2bNsHjx4go/X7p0KXr37o0GDRqgQYMG6N+/P/bv31/hnLfeegsymazCIyTEjWZJOMMUcyHKLRRYzYHIZh5KoEms6bmjjdPZ8RHwWXdgWX9g9WPA108BG6cAW18H/voQ2LcEOLQeOLHZtCJ05mHg6nmg6Apg0EsdPQFITruGf31zGADwbN9mGBLdROKIiMgePGxxkQ0bNmDq1KlYuHAhevXqhc8//xwDBgzA8ePHER4eXun8c+fO4aGHHsKECRPw5ZdfYteuXZg8eTICAwMxdOhQAMC2bdswYsQI9OzZE2q1Gh988AHi4uJw7NgxNG7c2HKt9u3b47fffrN8r1C4Ud+6puz34MhjdK6eM63eLPe8sbVDTYR3N3V9pe4FYp6yeXi1UnAZ+PM9wGhFwRIcBQxfAzSIsF1cVG1ZecWYuCoBJXoj7msThJcfaCN1SERkJzYpdObNm4dnnnkG48ePBwDMnz8fW7ZswaJFizBnzpxK5y9evBjh4eGYP38+AKBt27ZISEjA3LlzLYXOmjVrKrxm6dKl+Oabb/D7779j7NixNxLw8HCvVpzyNGGmr47comPutmpyF6D0qvnrLQOSHahF5/AGU5ETEgX0mwEU55lmvum0pufmmXDmr+WP6a+brnHpCLDxBWDMj4CcPch1qbjUgImrE5Cdr0OrYB/MH94ZCjlnWBG5KqsLnZKSEiQmJuLVV1+tcDwuLg67d++u8jV79uxBXFxchWMPPPAAli9fjtLSUnh6elZ6TVFREUpLS9GwYcMKx0+dOoXQ0FCoVCp069YN7733Hpo1a1blfXU6HXS6G4vPabVOMC37dpyh66q23VZmTboCMrmp20ebCfg1sllotSIEkLTa9Dz2aaDNwzV7vaEUuPy3qcvr3F9AwnKg6wTbx0lVEkLg5W8O4/DFPNT38sSysXfBV1353xsich1W/1cyJycHBoMBwcHBFY4HBwcjKyurytdkZWVVeb5er0dOTk6Vr3n11VfRuHFj9O/f33KsW7duWLVqFbZs2YKlS5ciKysLPXv2RG5ubpXXmDNnDjQajeURFhZWk1Qdj2V15AzHnJUkRM32t6qK2g8Ibm96nuYA08zTDwKXTwAeaqDD0Jq/XuEJhHQA7n/b9H38G8CVc7aNkW5p4bYz2HgoAx5yGRaO6oJw/1q0MhKRU7FZm/nNi2sJIW674FZV51d1HAA++OADrFu3Dt999x3UarXl+IABAzB06FBERUWhf//+2LRpEwBg5cqVVd5zxowZyMvLszzS0tKql5yj8gsFIAMMOqCo6gJRUjmngIJLpqKgyV21v075aeZSS1pl+tpuEKDW1P46d00AIu4GSouAH19wzELVxWw9loUPt/wNAHjr0fbo2TxA4oiIqC5YXegEBARAoVBUar3Jzs6u1GpjFhISUuX5Hh4e8Pf3r3B87ty5eO+997B161Z07NjxtrF4e3sjKioKp05VPRVZpVLBz8+vwsOpKTwBn7LfsSN2X53bbvoa1hXwVN/+3NtxlHE6JUXAkW9Nz6NHW3ctuRwY9Cng6Q1c2AkcWGp9fHRLKZlaTN2QDAAY0z0Co7tzEDiRu7C60FEqlYiJiUF8fHyF4/Hx8ejZs2eVr+nRo0el87du3YrY2NgK43M+/PBDzJ49G7/++itiY2PvGItOp0NKSgoaNZJ4HEddcuTNPS3dVjVcP+dm5tlaWUcAXb5117JGykagJB9o0NTUGmOthpFA3CzT8/g3gdwz1l+TKskt0GH8ygQUlRjQs7k/3hjYTuqQiKgO2aTratq0aVi2bBm++OILpKSk4KWXXkJqaiomTZoEwNRlVH6m1KRJk3DhwgVMmzYNKSkp+OKLL7B8+XJMnz7dcs4HH3yA1157DV988QWaNm2KrKwsZGVloaCgwHLO9OnTsX37dpw7dw779u3D448/Dq1Wi3HjxtkiLeegcdAByUajaf0YoOYLBd5M0xioHw4II3DxgPWx1VbSl6avnUfbbqZUzNOm34/+OvDDZMBosM11CQBQojfiuS8PIv3adUT4e2HhqC7wVHCWG5E7scnf+GHDhmH+/PmYNWsWOnfujL/++gubN29GRISpeTgzMxOpqamW8yMjI7F582Zs27YNnTt3xuzZs7FgwQLL1HLAtABhSUkJHn/8cTRq1MjymDt3ruWcixcvYsSIEWjdujUee+wxKJVK7N2713Jft+CoU8yzjwNFuaaumcZdrL+e1ON0rpwta6GSAZ1H2O66cjnw6KeA0sc02Hrf4ju/hqpFCIE3fjyK/eevwEflgWVjY1HfSyl1WERUx2yyjg4ATJ48GZMnT67yZytWrKh0rG/fvjh48OAtr3f+/Pk73nP9+vXVDc91OeoUc3O3VXh301gia4V3N61fI9U4naSydZ2a33uju9BWGkQAce8AP08Ffp8FtHwACGhh23u4oRW7z2P9gTTIZMAnI6LRMrgG+6wRkctgG66zc9TVkS3r51jZbWVmbtG5mGBai6YuGQ1A8lrTc2sHId9KzFNAs3sAfTHww3NVdmEZjAILfj+FyWsScaWwxD5xuIgdpy5j9s/HAQAzBrTBPW2CJI6IiKTCQsfZOeLGnkYDcH6X6XltFwq8WUBrQF3fNB0767BtrlldZ/4E8jOAeg1qvkBgdclkwKOfAEpf4OJ+YM9nFX58tbAET/1vP+bFn8TmI1l4b3OKfeJwAWcvF+D5NQdhFMBjXRpjQu+qFxAlIvfAQsfZ+ZUVOvlZdd/ScStZhwFdHqDyA0I62eaacnm5aeZ1PE7HvBJyx2GAh8p+96kfBjz4nun5H++YVlAGcCwjDwM/3Ykdp3Kg9jT9lf0m8SIOnL9iv1icVN71UoxfmQBtsR5dwuvjvSFRt13Pi4hcHwsdZ+cdCCiUAASQnyl1NCbmbquIXoDCZsPApFlPpzAXOGFaiNJu3VblRY8BWvQ3LQL5w3P4MfEChi7ajYtXryO8oRd+eL4XRnQ1DUB/7fujKDVwoUEzvcGI/1uXhLM5hWikUWPxmBioPd1ok18iqhILHWcnl5etkAzH6b4yb+Rpq24rs/Izr8pW0ra7I18BxlKgUSfTJp72JpMBAxdAqPyA9ESkfPceikuN6Nc6ED+9cDfahPjh5QfaoIGXJ/6+lI+Vu8/bPyYnMeeXE/jr5GWoPeVYOjYWQb5WLFJJRC6DhY4rsEwxd4AByYbSGy0utd3f6lZCowGFCii8bJrubW9CAAfLuq2ix9j/fmVyFAFYpB4PAHjJ4xu82U2G5ePugsbLNHutgbcSrw5oAwD4b/xJZOUV11lsjuqrA2lYvtO0Z9hHT3RGh8ZWbM9BRC6FhY4rsEwxd4C9uzKSgJIC08Dd4A62vbaH6saaPHXRfZWZDGQfMxVXUY/b/34ADqVdw8BPduKDSzHYJrpAJdPjH9n/gULoK5z3REwYuoTXR2GJAbM3Ha+T2BzVgfNXMPOHIwCAF+9riYc7utHK6ER0Ryx0XIEjTTE3j89perftVg8ury7H6ZhXQm470FS42dlXB9LwxOd7kJlXjGaBPoh4aolp49DMZGDX/ArnyuUyzB7cAXIZsOlwJv46ednu8Tmii1eLMGl1IkoNAgM6hODF+1pKHRIRORgWOq7AMsXcAQodW+1vdSt1tUJy6XXg8Nem53YehFyiN+K1H47g5W8Po0RvRP+2wfjh+V6IjGwJDPjQdNK2/wCXjlV4XftQDcb1bAoAeHPjMej07rV9RKFOj/ErE5BbWIJ2jfzw0ZOdIJdzhhURVcRCxxX4OchaOnrdjQLEVgsF3iysq+lr7mmgwI6tGCk/m6bIa8KAyL52u022thgjlu7Fl3tTIZMB0+5vhSVjYuCnLltNuuOTQOuHTAOiv59UaQmBl+5vhUBfFc7lFGLJ9joYt+QgjEaBaV8l40RWPgJ8lFg6LhZeShvO8CMil8FCxxVYdjCXuNC5mGBa2dc7CAhsbZ971GsABJXtPp1mx1Yd89o5nUfZpwsOQOKFK3jkk51IvHAVvmoPLB8Xiyn3tazYKiGTAY/MN+WddRjYMa/CNfzUnnjt4bYAgE//PI20K0V2idXRzP/tJLYcuwSlQo7Px8Sgcf16UodERA6KhY4rMI/RuX4VKCmULo7z5aaV23ORNnt3X129AJzbDkAGRI+y+eWFEFi99wKGL9mL7HwdWgX7YOMLd+PeNsFVv8A3GHiobDPbvz4AMiuuDP1op1D0aOYPnd6ItzYeq+IC0jEaBXILdLiktd3MsJ8OZWDBH6cBAO8O6YCYiIY2uzYRuR629boCtca0dUBJvmmcTmAraeKwDES28bTym4X3ABKW229AcnLZBp7N+gL1w21++dk/p+CLXaap0A9FheDDxzvBW3WHv4odhgLHfwBSfjLthTXhT8DDtBO3TCbD7MHtMeDjHfj9RDbij1/C/e1uUTTZiNEokFtYgkvaYlzONxUy2fk6ZOcX45JWZ3pe9jO90bTmUVRjDYZEN8ajnUMR4FO7FaaPXMzD9K8PAQAm9I7EE7FhNsuJiFwTCx1XoWkCXE4xdV9JUeiUXgcuHjA9t9f4HDPzzKvMQ6YWLKW37a5tNNzYqdwOa+d8lZCGL3adg0wGvPJgGzzbp1n1tiiQyYCH55n2ELt0FNj+H+C+1y0/bhHki/G9m2HRtjN4a+Mx3N0iAPWUtlsVeOuxLHydeNFU0Gh1uFygg8FY/UUb5TLgSHoejqTn4d3NKejTMgCPdWmC+9sFV3v14mxtMSasSoBOb1pA8dUBbWubDhG5ERY6rkLT2FToSDUgOW0fYCgxrenT0M6bKNYPMw3A1l4E0hNtW1id2266rlpj8w08j2Xk4fUfjgIApvVvhUl9m9fsAj5BwCP/Bb4eB+ycB7QeADSJtfz4/+5tgY3JGUi/dh2f/nkK/3qgjdUxlxqMmLP5hKUFqjyZDPD3ViHYT4UgXxWCfNUI9lMh0E+NYF8VgvzUCPJVIcBHhfziUvx8OBPfJaXjUNo1/Pn3Zfz592X4qjwwICoEj3Vpgq5NG95y1lRxqQETVyciS1uM5oHeWDAiGgrOsCKiamCh4yqknmJevtuqLjZRDO8OHP0GuLDHtoWOee2cqCcAT9sNcM0rKsVzXx6ETm/EPa0D8fw9LWp3ofaDgRNPAEe+Br5/Fnh2B6D0AgB4KT3wxsB2eHZ1Ipb8dRZDopugRZBPrWPOyivG82sPIvHCVQDAUz2b4u4WAQjyMxU1AT5KeCiqN8zP30eFcT2bYlzPpjidXYAfktLxfVI60q9dx1cJF/FVwkU0rl8PQ6IbY0iXxmgeeCNuIQRmfHcEyWnXoKnniWXj7roxK42I6A44GNlVSD3F3F77W92KPRYOLLpimlYO2LTbymgU+OfXyUi9UoQmDerhv8M6W7fey0MfAr6NTFPsf3urwo/i2gXj3jZBKDUIvPHjUYha7gm263QOHl6wwzIjbMmYGLz1aHv0bxeMjk3qI0SjrnaRc7MWQT6Y/kBr7Hj5Hqyf2B3DYsPgq/Ioa4k6jfs+2o5Bn+7Eyt3ncaWwBJ//dRbfJ6VDIZdh4aguiAywYVclEbk8tui4CsvqyBIUOke+AS7uNz239/gcM/PMq4sHAIPeNrukH/nGtGt4cJRpE08bWbT9DH5LyYbSQ47Fo2NQ30tp3QXrNQAGfQp8ORTY/znQ5iGgWT8ApoHJbw1sj12nc7D7TC5+OpyJRzuFVvvSRqPAwm2nMS/+JIwCaNvID4tHd0GEv+2LC7lchu7N/NG9mT/eHtQe8ccv4fukdGw/eRmHLubh0MU8zP75OAxlxdobj7RDrxYBNo+DiFwbW3RchVRdV6l7TbOAAKDHC3aZpVSloLaASmPaV+vSUdtc07x2TvRom3W/7Tqdg4+2/g0AmD2ove02m2zRH4h92vT8h+eB4jzLj8L9vSxdY+/8fBz5xaVVXaGSvKJSjF+VgLlbTUXOk7FN8P3knnYpcm6m9lRgYKdQfPHUXdj37/vwxiPtENVYA71RQAhgZLdwjO0RYfc4iMj1sNBxFZaNPS+adt2uC7lngHUjTIOQ2zwC3D+rbu4LAHLFjVWSbbGeTuYh04J8CqVpNWIbyMy7jinrkixFw7C7bFwE3j8baBBpasX75dUKP5rYpxkiA7yRna/Df+NP3fFSRy7m4eFPduCPE6aWp/8MjcIHj3eq9owoWwrwUeHpuyPx0//djfiX+mDx6BjMerR99WanERHdhIWOqzAXOvrrpoUD7a3oCrD2SeD6FSA0Gnhsian4qEu2HKdjnlLe+iHAy/oF6Er0Rjy/5qBlH6ZZg2y8kzsAqHyAIYsByIBDa2+ML4KpheTtR9sDAFbsPofjGdoqLyGEwNp9qRi6eDcuXr2O8IZe+O65nrYvymqpZbAvHuwQUuvxQERE/NfDVXiqAe9A0/O8NPveS18CbBhjGgyrCQNGbLDtWjbVVX6FZGtasUqLgcMbTM+72GYQ8nubU3Aw9Rr81B5YPDrGfi0j4d2BXlNMz396scL+X31aBeLhqEYwCuD1H4/CeNO6N9dLDJj+9WH8+/sjZZuJBuGnF+62XfcaEZEDYKHjSizdV3YcpyME8NMU4MJO02rMI78ybVEghcZdALknUJAFLL7b1Cqj19X8On9vAoqvmX5/ze6xOqwfk9OxYvd5AMB/h3VGuL+X1de8rXtmmvb/KsoBfp5aoeh77ZG28FIqkHjhKr5JvDFQ/VxOIYYs3IVvD16EXAa8/GBrLBkTC40Xp20TkWthoeNKNHUwxfyvD4FD6wCZAnhyBRDczn73uhPPesCA9wFPL9OA5B8nA//tAGz/ACjMqf51zGvndB5pdffbyUv5ePXbIwCAF+5pgfva1kER6KEChnxuKvpO/HyjdQpAI009vNTftFL2nF9ScLWwBL8ezcKjn+y07Pz95fhumNyvhXVT3omIHBSnl7sSe+9ifvhr4M93Tc8f/sg088dKJXojvkm8iCPpeRBCwChMs2yMAhAwPy/3FaZxJUaj6edG0RkNIzbgAd2v6Jb9NbwLs4E/34XY8RHQcRhk3ScDQbdZIfhaGnDmT9PzziOtyqVAp8ekLxNxvdSAXi388dL9dbgVR6OOQL9XgT9mA5v/BTS92/J+eKpXU3ydmIaTlwrwxOd7cDq7AAAQG9EAn47sghCNuu7iJCKqYyx0XIk9p5hf2GNqMQGAnv8HxP7DqssZjQI/Hc7A3K1/I+3KdavD24Be8EA3PCTfj2c8NqOT/ixwcCVwcCUOqWNxIGQkChv3RmiDegitb3o00qihPrQOgDCt6GzF1hVCCLzyzWGcvVyIRho1FgyXYIuCXlOBk7+a1hb68Xlg9PeAXA5PhRzvDI7Ck+WKnPF3R+KVAW3gyUG+ROTiWOi4kvJTzG0p9wywfqRpGnnbgUD/2k8jF0Jg+8nL+ODXv3E80zQTKNBXhSdjm6CepwIymQwyGSCXySCXATLc+L78cZT7eaFOj4y868i8Vozzef545mpfNC06gvEevyBOnoBOxQnodD4BJ86GYblhADYaekIHJWQwYne9pWgEIKv5Ewix4lf0xa7z2HQkE54KGT4b1QX+tdyd2yoKD2DwYtN4pbPbTDu8d50AAOga2RCT+zXHj8kZmPlwWzwU1aju4yMikoBM1HaNeBeg1Wqh0WiQl5cHPz8/qcOxmiF1PxRf3A+jXxPIpx2zzUWLrgDL+gNXzgChXYCnNln2VqqppNSr+M+vJ7D37BUAgK/KA5P6Ncc/ejWFl9K2NXdxqQFZecXITTsBv0PLEZH6HZRGU8vRVZkGawz344S+ET5VfgKtqIeuuoVo3SQIQ6IbY2Cn0BoVKgfOX8GIJXuhNwrMGtQeY3s0tWkuNbZvCfDLvwCPesCknUBALffVIiJyUDX5/Gah4wSFjhAC14pKcSm/GJe0OlzSFuNSXnHF77XFkOdnYo/qBRiFDH/Wux/ZrUeidZe+6Nikfu3WIdHrgNVDgAu7TNPIx/9eqxlWp7MLMHfL3/j1WBYAQOkhx7geEZjcrwUaeFu5HUJ1Xb8GHFwF7Pu80himbT6P4Jkro2Aom37tIZehX+tADIlugvvaBt12anh2fjEeWbAT2fk6DOocivnDOku/sJ3RCKwebNqJvcldwD9+tc0WGUREDoKFTjU5QqFTVKJHVp6pYMnOL7Y8v5RfsZgp0RurcTWBtcr30FN+ozXniLEpvpPH4WqzQejaOhy9WwYgrGE1WmSEMO2OfXgDoPIDnt5S4xlWWXnFmP/bSXydeBEGo4BcBgzt0gRT72+FxvVttzN4jRhKgeM/Ans+AzIOApABE/5AjqY9fjqUge+T0nH44o3tFHzVHnikYyMMiW6Cu5o2qFDE6A1GjFq2D/vOXUGrYB/88Hwvm7dM1VreRWBhD0CnBe57A+j9T6kjIiKyGRY61WTPQqdEb0R2WZGSrS1Glvbm58XI1uqQr9NX+5oNvDwR7Kcue6jKPb/xfYC3Erkn/kLhrqVokrkFnsK0z1G+qIcfDL2wxtAfJf5t0btlAHq3DET35v7wUVXx4bztfWDbHNM08tHfAM3vrXaceUWlWLT9DP636xx0ZQVa/7bBePnB1mgV7Fvt69iVEEB6omncUUTPCj86nZ2P7w6m44ekdGTkFVuOhzWshyGdG2NIlyaIDPDGnF9S8Pn2s/BWKrDx/+5G80Cfus7i9pLXAT9MMk07n/gnEBIldUTVJwSgzQAup5hmxsnkgMITkHvceNjqe6lb4IioxljoVJO9Cp3T2fnoP++vap/vo/JAkJ8Kwb5lBYtGXfb8RgET6Kuq+eq6RVdgTFqDkn3LodaesxxONLbEGv192GTsDoNchS4RDdCnZQD6tApE+1ANFEe+Ar6faDp54MdAzFPVul1xqQErdp/Hwj9PQ1tsKuDuatoArzzYBrFNrd9Woa4ZjQL7zl3Bdwcv4pejWSgoV5S2a+RnGUy9cFQXxxzcKwSwYbRpbZ2g9qZix0OCQdK3IwSQn2UqaLJPlPt6wtQaVRdkinKFj8JUGFb5vblIqsX31rz2jt8ryhVxt/iexRy5GEkKnYULF+LDDz9EZmYm2rdvj/nz56N37963PH/79u2YNm0ajh07htDQULz88suYNGlShXO+/fZbvP766zhz5gyaN2+Od999F0OGDLHqvuXZq9DJKypFp1lboVTITQWMnxohfmrL85tbY6psUbElIYBzfwEJX0Cc+Bkyo+kDWwsffK3vjbWGe3FGmGZsdZWl4EvlHChleqyQDcJS1VNQecih9JBD5amAykNe9lBA7Wn6qvKUw1Muw5Zjl5ClNbWAtA72xcsPtsa9bYKkH7NiA9dLDIhPuYTvDl7EjlM5lvE8E3pHYubDEi6aeCcFl4GF3U2rJveaCtz/tjRxCAEUXgayU0xFTHbKjefF16p+jUwB+LcAGkaavjfqTV2PRgNgLL3F93rT11t9767k1S2MatIadruisKbfW1n4sZhzO3Ve6GzYsAFjxozBwoUL0atXL3z++edYtmwZjh8/jvDwypsDnjt3Dh06dMCECRPw7LPPYteuXZg8eTLWrVuHoUOHAgD27NmD3r17Y/bs2RgyZAi+//57vPHGG9i5cye6detWq/vezF6FjhACV4tK0cDL0/E+5PMvAclfAgkrgLxUy+G/1Z2w/npXTME6NJAVYLOhK54vnQJRw8WzG9evh2n3t8Lg6MZ1v45MHbmcr8NPhzJwvdSAiX2aOf5aNCk/AxtGmbp//vErEN6t8jlCmAaf6/JNLSk6bdnzfKC47HlJgekcg86035lBV/Z9yS2+ljvv+jXTBrBVkclNaxgFtgGC2pZ9bWcqcjxsOFhdiLKi6DaFUI2+N5QVWrb4Xl+ucLvT97cp9Ny+mLO2BczG3aK3LQxreq063jS5NvQlQGE2UHAJKMg2tdYWZJty6D3Npreq80KnW7du6NKlCxYtWmQ51rZtWwwePBhz5sypdP4rr7yCjRs3IiUlxXJs0qRJOHToEPbsMe1EPWzYMGi1Wvzyyy+Wcx588EE0aNAA69atq9V9b+YIg5ElYzQAZ/4AEr4wLTInbgx2LgmJRuagr1EsU0OnN0CnN0JXakRxadlzyzHz96Zjjet74bEuje23gSXV3veTTFt3+IaaVlG2FDTlChljqZ2DkAENmpqKmKA2QGBb01f/lqZNacl6lmLuVi1eNWwBs+n3Nir8hEHq37JEZOVarxRlX+WmR7WOKUzb5ii9yx4+NXjuBegKbhQwBZfKPc+6cez61apD92sC2GrJkzI1+fy2us+kpKQEiYmJePXVVyscj4uLw+7du6t8zZ49exAXF1fh2AMPPIDly5ejtLQUnp6e2LNnD1566aVK58yfP7/W99XpdNDpbmz6qNXW0RgARyRXAC3vNz3yLgIHVwNJqwGVL5Sjv0KET6DUEZItPfg+cG6HaWp9fsbtz1X6AipfQO1n+mp+KH1MY3wUKlNLS4WvKkChvOlruZ+rfICGzWu9BhNVk0xmar1w5eUEhLBdC5jV39up8KuymBNl59n7PyRWknsAPsHlHkE3Vu2XiNV/G3JycmAwGBAcXHF9leDgYGRlZVX5mqysrCrP1+v1yMnJQaNGjW55jvmatbnvnDlz8PbbEo1RcGSaJsA9M0wPIdjX7Yrq1QfGbQRObTVtgmopZMoXM36mYkbu4F1x5N5kMlNXiMLT1ELhioxGU7FzqxYto8HUCi+MZc8NN74K443XVzimB0qLgZJCUzd0SWEVz2/zvdL7RuFi/uobctOxYEBd3+H+DbFZ2X/zWBQhxG3Hp1R1/s3Hq3PNmtx3xowZmDbtRj+hVqtFWFjYLWN0SyxyXJd/c8D/OamjIKI7kcsBlC2pQFazutAJCAiAQqGo1IqSnZ1dqbXFLCQkpMrzPTw84O/vf9tzzNeszX1VKhVUKgebXktERER2Y3X7klKpRExMDOLj4yscj4+PR8+ePat8TY8ePSqdv3XrVsTGxsLT0/O255ivWZv7EhERkZsRNrB+/Xrh6ekpli9fLo4fPy6mTp0qvL29xfnz54UQQrz66qtizJgxlvPPnj0rvLy8xEsvvSSOHz8uli9fLjw9PcU333xjOWfXrl1CoVCI999/X6SkpIj3339feHh4iL1791b7vneSl5cnAIi8vDxb/BqIiIioDtTk89smhY4QQnz22WciIiJCKJVK0aVLF7F9+3bLz8aNGyf69u1b4fxt27aJ6OhooVQqRdOmTcWiRYsqXfPrr78WrVu3Fp6enqJNmzbi22+/rdF974SFDhERkfOpyec3t4Bw13V0iIiInFRNPr8daw4YERERkQ2x0CEiIiKXxUKHiIiIXBYLHSIiInJZLHSIiIjIZbHQISIiIpfFQoeIiIhcls029XRG5iWEtFqtxJEQERFRdZk/t6uzFKBbFzr5+fkAwB3MiYiInFB+fj40Gs1tz3HrlZGNRiMyMjLg6+sLmUxm02trtVqEhYUhLS3NLVZdZr6ufV+pMF/X5245M1/bEEIgPz8foaGhkMtvPwrHrVt05HI5mjRpYtd7+Pn5ucWb2Yz5uvZ9pcJ8XZ+75cx8rXenlhwzDkYmIiIil8VCh4iIiFwWCx07UalUePPNN6FSqaQOpU4wX9e+r1SYr+tzt5yZb91z68HIRERE5NrYokNEREQui4UOERERuSwWOkREROSyWOgQERGRy2KhQ0RERC6LhQ5Vy8GDBy17gxHZCt9X5EoOHDiA+fPnc6NoB8NCpwYuXbqETZs2VWu3VFeRkZGBuLg43HPPPUhOTpY6HLvLzMzECy+8gPfeew+rVq2qs/u623uL7yvXlpmZiSlTpuCVV17BggULpA7H7jIyMvDQQw+hW7duWLBgAfz8/Fz677Kz/XvFQqeaPv30U4SGhmLgwIE4duyY1OHUiZdffhkRERHw8vJCSkoKevfuLXVIdvXFF1+gffv2uHDhAs6ePYtJkybh+eefx+nTp+16X3d7b/F9VTfvK6m89dZbaNmyJS5cuIDs7GxMnToVs2fPBgCn+WCsienTpyMsLAw+Pj5YsmQJdDod/v77b5tvFO0onPLfK0G3ZTQaxaZNm8R9990n5s6dK7p06SIef/xxYTAYpA7NbkpKSsQLL7wgZDKZWL9+veX4pUuXJIzKvgoKCkTfvn3Fp59+ajn2yy+/CF9fX/Hcc88Jo9Fo83u623uL7ysTe7+vpFJaWiref/990bdvX/HLL79Yjr/++uuiWbNmEkZmH1qtVqjVahEVFSV27twphBDit99+E+Hh4WLbtm0SR2d7zvzvFQudakhISBArVqwQ+fn5Yvv27UImk4nNmzdLHZZdmP/h3bBhg+Uf6JSUFDF48GBx9913iz59+ojPP/9c6HQ6iSO1rc2bN4uAgABx7NgxYTAYhMFgEEajUYSFhYng4GCxYsUKu9zXnd5bQvB9VVfvK6ls375d/PHHHxU+/F599VXxwQcfiKKiIgkjsy1zfnv37q1wPD8/X6jVavHNN99UOM9VOOu/Vyx0blJQUCBOnjwp8vLybnnOk08+KaKjo4VWq63DyOynqpxLS0vF888/L0JCQoS/v7948cUXxccffywmTpwoVCqV+Oijj5z2H66q8r1w4YJQKBTijz/+sBzbv3+/6NOnjxgwYIB44oknrP7zzsvLE3v27BEXL1685Tmu9N6qKl9Xfl9VlW9dvK+kotPpLH9WVX2g5+XliUGDBgmZTCa6dOkiWrZsKb7++mtRWFhY16HaxO3yNRqNwmg0iry8PHH33XeL//u//5MiRJtypc9CFjrlzJo1S0RGRorOnTuLyMjISpWq+c195swZUa9ePbFgwQIpwrSpqnLW6/VCCCF2794txo0bJzZu3FjhNVOmTBGdOnUSR44ckSJkq9yc76ZNmyw/mzBhgtBoNOLll18WU6dOFXK5XHz00Ufi7bffFu3atRPp6em1vu97770n/Pz8RIcOHYSfn5+YP3++5QNRr9e73HurqnwvXLgghBDir7/+crn31c35/ve//7X8+T799NN2e19J5f333xetWrUSv/76a5U/LykpEcuXLxcPPfSQ2Llzpzh8+LCYPHmyaNeuXYW/c87iTvmW16dPH/Hcc88JIYTTdk262mchCx0hxPnz58Wjjz4q2rdvLzZt2iR+//13MW7cONGoUSORlZVV5Wtee+01ERwcLNLS0oQQQhQWFoqCgoK6DNsqt8s5MzPTct7hw4dFcXGxEOLGmzsrK0vIZDKxb98+SWKvjdvlW36MyMsvvywefvhh0bdvX8s/ahcuXBD16tUTqamptbr35s2bRdu2bcX3338vzp49K959913Rvn178fTTT1vOKf8PorO/t26V7z/+8Q/LOcnJyS7xvhKi6nzbtWsnnnnmGcs506dPt/n7Sgq5ubli0qRJomPHjsLPz0889thj4vLly1WeW1XLTYMGDcTatWvtHabN1CRf838Qp0+fLtq1a1eXYdqMq34WstARQqxfv1706dNHpKSkVDju5+dX6X+dZgUFBSIiIkJMmTJFrFq1Stx9993iq6++qotwbaI2OZs/jNetWyeCgoLEoUOH7B6nrdQk35v/gX7nnXdEhw4dxJUrV2rV5z5lyhQRHR1d4dgnn3wiWrduLZYsWSKEuPGPpBDO/966Xb6LFy8WQlRs+nfm95UQt8934cKFQgjTn6+t31dSOHv2rHj55ZfFpk2bxI4dO4RMJhPr1q2rMv6bWzMOHDggwsPDKwxUdnQ1ydds4cKFon379uLkyZN1GKltuOpnoVsXOua/iFeuXBFff/11hZ9lZWWJ1q1bi61bt97y9W+++aaQyWRCqVSKGTNm2DVWW6ltzubXpaSkiLi4ODFhwgT7B2sD1uRbWloqjh07Jvr06SNmz55dq/sbDAbx3HPPieHDh1taMIQQIiMjQzz77LOiU6dOIj8/33KumTO+t4SoXr7l/7fnrO8rs5r8+Qphu/eVVPR6vaULUgjTGI2OHTuKc+fOVXm++c/377//Fo888ogYOnRohd+Ho6tJvuZcN23aJHx9fW87Fs/RuPpnoVsXOkJU/l+H+cPm+PHjwt/fv8qqvKCgQDz//PNCJpOJZ555Rly9erUuQrWZmuZcWFgo3n77bfHUU08JLy8vMWrUKIcffFZeTfPV6/Xip59+sgyQHTlyZK2aYs33nTNnjggLC6v0j+PGjRtFbGyspVVHCOd+b1U336VLlwohTLm6wvuquvmWlpba5H3lCMy55+bmCk9PTzFnzpwKhZ4Qpn835syZI8aPHy98fHzEiBEjbjuw1ZFVJ1+zkydPCg8PD8uUc2fhyp+FXDDwFv766y9ERkaiZcuWlRa5unz5Mnx9fbFjxw4sW7YM9evXlyZIG7tVzl5eXmjYsCEKCgqwfft2fPnll/D19ZUwUtu4Vb4KhQIhISFo3Lgxdu7ciTVr1sDb27vG1zcajQCAqVOnIi8vD2vWrKnw8379+kEulyM3N9dyLCcnx2nfW9XNNycnBwDg7e2NgIAAp31f1TRfDw8PNGrUyOr3lVTK/x2RyWTQ6/Vo2LAhZs6ciXnz5iElJcXyc6PRaPl3o7i4GNu2bcPatWvh5+cnRei1UpN8y5/bsGFDnD59Gr169arTeO3FJT4LJSyy6kRubq5l8NjN/aqlpaWW5+YxEuaqdtSoUWLatGmWnx8+fFgcPnzY3uHahC1zNo+XcOQxBPbItzoyMjLE7t27q2zGLn9fIYSYO3eu8PX1FQcOHKhwvHPnzmLy5MnVvqeUbJWveUaKEI79vuKf7w1V/T0qP66scePGYuLEieLKlStiy5YtYuXKlUIIx551ZKt8t27dKlatWmX3eK1V03xd4bPQzKULnX//+98iMDBQvPvuu7c8x2g0ipdffll8+eWXlsW8rl27Jtq0aSO2bNkiMjIyxBNPPCFkMpn4+eef6zD62nG3nKXK98UXXxT+/v7irrvuEl5eXuKzzz4T165dq/K+q1evFkIIERMTI+677z7L9NrExETRqVOn2/Z9Owrmy3xv/nskxI0Pxe+++04oFAoRFRUlZDKZ+Oyzz+o8h5pgvnfO15k/F27mkoXO1atXxdNPPy26du0qYmJixMCBAy3/0yr/P4wVK1aIhg0bis6dO1eoUA8cOCBCQkLEpEmTRL169URcXFyFAWmOyN1ylirfCxcuiIEDB4oePXqIXbt2iXPnzonp06eLDh06VPhAK3/fgwcPCiFMfd1DhgwRSqVSxMXFCS8vLzF8+HCHXkCN+TJfIW7990gIIS5evChefvllIZPJxPDhwy3TjB0R861Zvs72uXArLlnoFBcXi7ffflt8//33Ytu2baJLly5ixowZoqSkxHJOYWGhmD17tli0aFGFJkkhTFNDZTKZ6Nq1q1P8b0wI98tZqnw3bdokhg0bJhISEiocDwkJERs2bBBCmJaBv/m+5uIrLy9PbN26VXz66adOMViR+Zow36r/Hul0OjF16lTRsGFD8eeff9ZV2LXGfE2qm6+zfS7ciksUOuZ/ZMr/IZVvlvvnP/8pevXqVWlFzqqW8RbCtFnb//73PztFaxvulrNU+ZrPN/dhp6eni127dlW4fklJiYiJiRFr1qy55X2dBfNlvjXN91YLyTkC5lu7fJ3lc6G6nL7Q+eijj8Q777xT5c/Mf3gXLlwQvXr1EhMmTLAMWr3VIDlHHjxn5m45S5Xvzfe91fTLCxcuCB8fH6db6O5mzJf5CsF8nZWt83X0z4WacNpCZ//+/aJfv36WDeN2794thLh1ZTp//nwRExNToTo1/8xZ/nfmbjlLlW9172u2bt06ERUVVa3VYR0R82W+5THfG5iva3DadXS2bNmCgIAAfPHFF5avACCXyyvN9QeASZMmITg4GL/88guOHDmCNWvW4L333rO8xhm4W85S5VvT+yYmJqJHjx6We/z555/46aefAJjW33B0zJf5lsd8ma/LkazEqiVzxXnhwgVL5TpnzhzRrVs3y/4aN1eq5u9/+OEH0axZM+Hv7y+USqWYO3duHUZee+6Ws1T51ua+er1eREdHiw0bNoizZ8+Ke++9VyiVSstAP0fGfJkv82W+zpKvNZyu0KnKmTNnxODBg8XgwYPFlStXhBCV/4BPnz4txo4dK2QymXjuueecdul1M3fLWap873TfQ4cOCV9fXzFgwADh4eEhhg0b5lTbGNyM+TJf5st8XY3D9l+IKprcbnVes2bNMHDgQGRmZmLFihUAKndVfP755/jjjz9w6NAhLFy40CGXXne3nKXK15b3PXXqFAoKCqDT6XDgwAGsX7/e4bYxYL63Po/5Ml/m61j52kVdV1bVce3atQpLUpevSG9eet38fV5envjHP/4h7r33XsvmY4mJiVVewxG5W85S5Wur+5oXJ0xLSxN//PHHHe8rFebLfG/+nvkyX3fjUIVOSUmJmDx5sujZs6e4//77xaxZsyx/sOX/UEtKSsSKFSss35vP2bx5s+jXr58YNWqUuPfee4VMJrM03zkqd8tZqnztcd+cnBwrfhP2xXyZr/k85st8HT1fe3OYrqv4+Hi0a9cOx44dw7/+9S+EhYVhzZo1eOONNwCYdv4FgAULFiAkJAQ//fQTrl69CuBG01z79u2RlpaGtWvXIigoCJmZmWjQoIE0CVWDu+UsVb72uq+/v7+Nf0O2wXyZL8B8AebrDPnWCakrLSFMTW3jx48Xzz//vGUJf51OJ958803xwAMPWPaKWbhwoYiMjBRr1qypNN//999/Fz4+PqJz586Vlrt2RO6Ws1T58vfMfIVgvuUxX8flbvnWFYcodK5cuSJWrFghkpKShBA3ps298sorok+fPpbzSktLbzmTJicnR6xdu9busdqKu+UsVb78PTNfIZhveczXcblbvnVFJkQ1h3Tb0JIlSyCTydCqVSv07dvX3LJkWazIYDBAoVBg8uTJuH79Ov73v/9V+PnNbvczR+FuOUuVL3/PzJf5Ml8z5ksA6rbrau3atSIoKEj06NFDdO7cWQQGBlr25ii/WaO5iu3WrZtYtmxZhWPOxt1ylipf/p6ZrxDMt/wxZ8J8XTtfqdVZobNmzRrRqVMnsXjxYiGEaVfVTz75RHh7e1e5YNHZs2dFYGCgOHHihOXYmTNnhBCi0lbyjsrdcpYqX/6emW95zJf5OjJ3y9cR2H3WlSjrGSstLUW3bt0wduxYAEBoaCiio6PRuHFjpKSkVHrdli1bEBYWhtatWyMpKQndunVD9+7dodfroVAo7B22VdwtZ6ny5e+Z+TJf5st86U7sVugcPHgQ165ds/QXDh48GAsXLkS9evUs5/j4+ECr1aJly5aWY+Y3w/Hjx9GsWTNMmzYNsbGxiIqKQlpammVqnSNyt5ylype/Z+bLfJkv83XMfB2SrZuIvvnmG9GkSRPRvHlzER4eLl5//XWRlZVl+Xn5lR3nzZsnevXqJYQwTaErf05ERISQyWSiX79+4tixY7YO06bcLWep8uXvmfmaMd8b5zBfx+Ru+ToymxY6Bw4cEG3atBHz588Xhw4dEgsXLhSBgYHiueeeE7m5uUII0x+ceWXHIUOGiOeff77Sda5duybmzJkjtmzZYsvw7MLdcpYqX/6emS/zZb7Ml2rDJoWOeRT4okWLRJMmTUReXp7lZ59++qno3r27mD17tuWYwWAQRqNRNG/eXPz8889CCCH+/vtvMXz4cJGammqLkOzO3XKWKl/+npkv82W+zJesYZMxOua+x3PnzqFVq1YV+g6feuopxMTE4JdffsGxY8cAmJapPnDgALy8vNClSxdMnToVHTt2RG5uLgIDA20Rkt25W85S5cvfM/NlvsyX+ZI1alXoxMfHY8qUKfj444+xf/9+y/FevXph9+7dyMrKAmBa7Mjb2xuDBg2CTCbD1q1bLedu3rwZR48eRevWrREfH49du3Zh69atUKvVVqZkH+6Ws1T58vdswnyZrxnzZb5kpZo0/2RkZIhHHnlEBAUFiVGjRomoqCih0WjEvn37hBBCXL9+XbRp00ZMnDhRCFFxsFXv3r3F5MmTLd+/8847IjAwUHz77be2aJmyG3fLWap8+XtmvszXhPkyX7Ktahc6hYWFYty4cWLYsGHi7NmzluN33XWXeOqpp4QQpsWLVq1aJeRyudi1a1eF148aNUr069fP8n12dra1sdudu+UsVb78PZswX+YrBPNlvmRr1e668vLygkqlwlNPPYXIyEjo9XoAwCOPPGJZ5EihUODJJ5/EoEGDMH78eGzfvh1CCGRlZeHUqVMYPXq05XrO0P/objlLlS9/z8yX+TJfM+ZLNleTqsi8bbwQN0aXjx49WkyYMKHCsevXr4t+/fqJoKAgERcXJ0JDQ0X37t2dchS5u+UsVb78PTNfIZgv83UO7pavs7N69/I+ffrg6aefxlNPPQUhBIxGIxQKBS5duoTDhw/jwIEDaNq0KUaOHGmr2kxy7pazVPny98x8ma/zYr6una9TsaZKOnPmjAgODhYJCQmWY+VXdXRF7pazVPny98x8XQnzZb4knVpNLxdljUA7d+6Ej48PYmJiAABvv/02XnzxRWRnZ9uuEnMQ7pazVPny98x8XQnzZb4kvVrtCmZeFGn//v0YOnQo4uPjMXHiRBQVFWH16tUICgqyaZCOwN1ylipf/p6ZrythvsyXHEBtm4KuX78uWrRoIWQymVCpVOL999+3QQOTY3O3nKXKl79n5utKmC/zJWlZNRj5/vvvR8uWLTFv3jy3WcXR3XKWKl/+nl0b83VtzJcciVWFjsFggEKhsGU8Ds/dcpYqX/6eXRvzdW3MlxyJ1dPLiYiIiByVTXYvJyIiInJELHSIiIjIZbHQISIiIpfFQoeIiIhcFgsdIiIiclksdIiIiMhlsdAhIiIil8VCh4iIiFwWCx0iIiJyWSx0iIiIyGX9P73asjk+mqIgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(downloaded_dates, messi_percentage.values())\n",
    "plt.plot(downloaded_dates, mahsa_percentage.values())\n",
    "plt.gcf().autofmt_xdate()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "aa8cda03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "saytheirnames = get_dates_of_hashtag('SayTheirNames', tweets)\n",
    "saytheirnames_percentage = get_daily_percentage(saytheirnames, downloaded_dates_with_occ)\n",
    "plt.bar(downloaded_dates, saytheirnames_percentage.values())\n",
    "plt.gcf().autofmt_xdate()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}