Ozzy Spotify-YouTube Python EDA Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "452edaeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing critical Python libraries to begin with\n",
    "\n",
    "import pandas as pd  \n",
    "import numpy as np\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3522ebc6",
   "metadata": {},
   "source": [
    "# 1.  Data Operations for Main Spotify-YouTube DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2fe0303f",
   "metadata": {},
   "outputs": [],
   "source": [
    "main_sy_df = pd.read_csv(\"Spotify_Youtube.csv\", delimiter=',') #Our Main Spotify_YouTube DataFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7e7afc1",
   "metadata": {},
   "source": [
    "# 1.1 Data Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ac53aa47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "* Number of rows and columns that DataFrames initially have are respectively (20718, 28). \n",
      "\n",
      "\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 20718 entries, 0 to 20717\n",
      "Data columns (total 28 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   Unnamed: 0        20718 non-null  int64  \n",
      " 1   Artist            20718 non-null  object \n",
      " 2   Url_spotify       20718 non-null  object \n",
      " 3   Track             20718 non-null  object \n",
      " 4   Album             20718 non-null  object \n",
      " 5   Album_type        20718 non-null  object \n",
      " 6   Uri               20718 non-null  object \n",
      " 7   Danceability      20716 non-null  float64\n",
      " 8   Energy            20716 non-null  float64\n",
      " 9   Key               20716 non-null  float64\n",
      " 10  Loudness          20716 non-null  float64\n",
      " 11  Speechiness       20716 non-null  float64\n",
      " 12  Acousticness      20716 non-null  float64\n",
      " 13  Instrumentalness  20716 non-null  float64\n",
      " 14  Liveness          20716 non-null  float64\n",
      " 15  Valence           20716 non-null  float64\n",
      " 16  Tempo             20716 non-null  float64\n",
      " 17  Duration_ms       20716 non-null  float64\n",
      " 18  Url_youtube       20248 non-null  object \n",
      " 19  Title             20248 non-null  object \n",
      " 20  Channel           20248 non-null  object \n",
      " 21  Views             20248 non-null  float64\n",
      " 22  Likes             20177 non-null  float64\n",
      " 23  Comments          20149 non-null  float64\n",
      " 24  Description       19842 non-null  object \n",
      " 25  Licensed          20248 non-null  object \n",
      " 26  official_video    20248 non-null  object \n",
      " 27  Stream            20142 non-null  float64\n",
      "dtypes: float64(15), int64(1), object(12)\n",
      "memory usage: 4.4+ MB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "# Checking the dimensions of the initial DataFrame\n",
    "\n",
    "print(f\"* Number of rows and columns that DataFrames initially have are respectively {main_sy_df.shape}.\", '\\n\\n')  \n",
    "\n",
    "print(main_sy_df.info())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77c3eac3",
   "metadata": {},
   "source": [
    "# 1.2 Data Inspection and Handling for the Main DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "11db6183",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of duplicated rows across all columns applicable at the outset is: 0 \n",
      "\n",
      "Number of NaNs per column as raw as the dataset can be is:  \n",
      "\n",
      "Unnamed: 0            0\n",
      "Artist                0\n",
      "Url_spotify           0\n",
      "Track                 0\n",
      "Album                 0\n",
      "Album_type            0\n",
      "Uri                   0\n",
      "Danceability          2\n",
      "Energy                2\n",
      "Key                   2\n",
      "Loudness              2\n",
      "Speechiness           2\n",
      "Acousticness          2\n",
      "Instrumentalness      2\n",
      "Liveness              2\n",
      "Valence               2\n",
      "Tempo                 2\n",
      "Duration_ms           2\n",
      "Url_youtube         470\n",
      "Title               470\n",
      "Channel             470\n",
      "Views               470\n",
      "Likes               541\n",
      "Comments            569\n",
      "Description         876\n",
      "Licensed            470\n",
      "official_video      470\n",
      "Stream              576\n",
      "dtype: int64 \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Checking any duplicated records\n",
    "\n",
    "print(f'Number of duplicated rows across all columns applicable at the outset is: {main_sy_df.duplicated().sum()}', '\\n')  \n",
    "\n",
    "print('Number of NaNs per column as raw as the dataset can be is: ','\\n')\n",
    "print(main_sy_df.isna().sum(), '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8675a696",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Differing artists: []\n"
     ]
    }
   ],
   "source": [
    "# Checking if certain null values on YouTube aspects of the DataFrame are the same. \n",
    "## It will assist us with collectively removing NaNs in a healthy fashion\n",
    "\n",
    "sub_main_sy_df1 = main_sy_df[['Artist', 'Url_youtube',\n",
    "                              'Licensed', 'official_video']][main_sy_df['Url_youtube'].isnull() == True]\n",
    "                             \n",
    "sub_main_sy_df1 = sub_main_sy_df1['Artist'].unique().tolist()\n",
    "sub_main_sy_df1.sort()\n",
    "\n",
    "sub_main_sy_df2 = main_sy_df[['Artist', 'Title', \n",
    "                              'Licensed', 'official_video']][main_sy_df['Title'].isnull() == True]\n",
    "                             \n",
    "sub_main_sy_df2 = sub_main_sy_df2['Artist'].unique().tolist()\n",
    "sub_main_sy_df2.sort()\n",
    "                        \n",
    "differing_artists = set(sub_main_sy_df1) ^ set(sub_main_sy_df2)\n",
    "differing_artists_list = list(differing_artists)\n",
    "\n",
    "\n",
    "# Identifying whether there are any differing artists between the two lists.\n",
    "\n",
    "print(\"Differing artists:\", differing_artists_list)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3efda562",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Seeing that all NaN values between Url_Youtube and Title parameters belong to the same records, \n",
    "## we will be removing those with a peace of mind as below:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4402c059",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dropping a number of columns not required at any stage of our analysis\n",
    "\n",
    "main_sy_df = main_sy_df.drop(['Unnamed: 0', 'Url_spotify', 'Uri', 'Url_youtube',\n",
    "                              'Description'], axis=1).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e0e03291",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Artist                0\n",
      "Track                 0\n",
      "Album                 0\n",
      "Album_type            0\n",
      "Danceability          2\n",
      "Energy                2\n",
      "Key                   2\n",
      "Loudness              2\n",
      "Speechiness           2\n",
      "Acousticness          2\n",
      "Instrumentalness      2\n",
      "Liveness              2\n",
      "Valence               2\n",
      "Tempo                 2\n",
      "Duration_ms           2\n",
      "Title               470\n",
      "Channel             470\n",
      "Views               470\n",
      "Likes               541\n",
      "Comments            569\n",
      "Licensed            470\n",
      "official_video      470\n",
      "Stream              576\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(main_sy_df.isna().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "39d7722d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb7f6416",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d718d483",
   "metadata": {},
   "source": [
    "# 2. Data Operations for the Spotify Aspect of the Main DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f1e572e5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "f05a1371",
   "metadata": {},
   "source": [
    "# 2.1 Data Preprocessing for a Spotify DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "2762d2e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preparing a Spotify DataFrame\n",
    "\n",
    "spotify_columns = ['Artist', 'Track', 'Duration_ms', 'Album', 'Album_type', 'Stream',\n",
    "                    'Danceability', 'Energy', 'Key', 'Loudness',\n",
    "                  'Speechiness', 'Acousticness', 'Instrumentalness',\n",
    "                  'Liveness', 'Valence', 'Tempo']\n",
    "\n",
    "\n",
    "spotify_df = main_sy_df[spotify_columns] # Creating our Spotify DataFrame with relevant columns\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "83b922fd",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/l9/k4g1l0yd3b9952lfcyrm9wzw0000gn/T/ipykernel_51863/1078921959.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  spotify_df.loc[:,'Duration in Seconds'] = (spotify_df.loc[:,['Duration_ms']] / 1000).round() #Converting each song duration into seconds from miliseconds.\n"
     ]
    }
   ],
   "source": [
    "spotify_df.loc[:,'Duration in Seconds'] = (spotify_df.loc[:,['Duration_ms']] / 1000).round() #Converting each song duration into seconds from miliseconds.\n",
    "\n",
    "spotify_df.loc[:,'Stream'] = (spotify_df.loc[:,'Stream'] / 1e9).round(2) #Converting billions into two-digit figures\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3c9f2d90",
   "metadata": {},
   "outputs": [],
   "source": [
    "spotify_df = spotify_df.drop(['Duration_ms'], axis=1).reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f684fffc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "5343bdad",
   "metadata": {},
   "source": [
    "# 2.2 Spotify EDA Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a89a9b58",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "c8c53408",
   "metadata": {},
   "source": [
    "# 2.2.1 Who Are the Top 20 Artists up to Date on Spotify in Terms of Stream Popularity?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b2b9f360",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Artist</th>\n",
       "      <th>Stream Count in Billions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Post Malone</td>\n",
       "      <td>15.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>14.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dua Lipa</td>\n",
       "      <td>13.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>XXXTENTACION</td>\n",
       "      <td>13.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>The Weeknd</td>\n",
       "      <td>13.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Justin Bieber</td>\n",
       "      <td>12.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Imagine Dragons</td>\n",
       "      <td>11.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Coldplay</td>\n",
       "      <td>11.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Khalid</td>\n",
       "      <td>11.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Bruno Mars</td>\n",
       "      <td>10.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Ariana Grande</td>\n",
       "      <td>10.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Billie Eilish</td>\n",
       "      <td>10.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Maroon 5</td>\n",
       "      <td>10.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>The Chainsmokers</td>\n",
       "      <td>10.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shawn Mendes</td>\n",
       "      <td>10.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Eminem</td>\n",
       "      <td>9.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Calvin Harris</td>\n",
       "      <td>9.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Queen</td>\n",
       "      <td>9.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Harry Styles</td>\n",
       "      <td>9.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Olivia Rodrigo</td>\n",
       "      <td>8.84</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Artist  Stream Count in Billions\n",
       "1        Post Malone                     15.25\n",
       "2         Ed Sheeran                     14.38\n",
       "3           Dua Lipa                     13.41\n",
       "4       XXXTENTACION                     13.21\n",
       "5         The Weeknd                     13.04\n",
       "6      Justin Bieber                     12.11\n",
       "7    Imagine Dragons                     11.84\n",
       "8           Coldplay                     11.79\n",
       "9             Khalid                     11.37\n",
       "10        Bruno Mars                     10.89\n",
       "11     Ariana Grande                     10.85\n",
       "12     Billie Eilish                     10.74\n",
       "13          Maroon 5                     10.70\n",
       "14  The Chainsmokers                     10.40\n",
       "15      Shawn Mendes                     10.12\n",
       "16            Eminem                      9.76\n",
       "17     Calvin Harris                      9.55\n",
       "18             Queen                      9.37\n",
       "19      Harry Styles                      9.34\n",
       "20    Olivia Rodrigo                      8.84"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Counting total number of times an each artist is listened to via respective songs\n",
    "\n",
    "top_20_spotify_artists_df = spotify_df.groupby(['Artist']).agg(stream_count=('Stream','sum')).sort_values(\n",
    "    by='stream_count', ascending=False).reset_index().head(20)\n",
    "\n",
    "top_20_spotify_artists_df.loc[:,'Stream Count in Billions'] = top_20_spotify_artists_df.loc[:,'stream_count']\n",
    "\n",
    "# Resetting and adjusting the index for a more accurate data visualisation\n",
    "\n",
    "top_20_spotify_artists_df = top_20_spotify_artists_df.drop(['stream_count'], axis=1).reset_index(drop=True)\n",
    "top_20_spotify_artists_df.index = range(1, len(top_20_spotify_artists_df) + 1)\n",
    "\n",
    "\n",
    "# Printing our response\n",
    "\n",
    "top_20_spotify_artists_df "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "484601d5",
   "metadata": {},
   "source": [
    "# 2.2.2 What are the Top 50 Songs/Tracks up to Date Listened on Spotify?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7ca1e013",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Track</th>\n",
       "      <th>Duration in Seconds</th>\n",
       "      <th>Stream Count in Billions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Blinding Lights</td>\n",
       "      <td>200.0</td>\n",
       "      <td>3.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shape of You</td>\n",
       "      <td>234.0</td>\n",
       "      <td>3.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Someone You Loved</td>\n",
       "      <td>182.0</td>\n",
       "      <td>2.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rockstar (feat. 21 Savage)</td>\n",
       "      <td>218.0</td>\n",
       "      <td>2.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Sunflower - Spider-Man: Into the Spider-Verse</td>\n",
       "      <td>158.0</td>\n",
       "      <td>2.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>One Dance</td>\n",
       "      <td>174.0</td>\n",
       "      <td>2.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Closer</td>\n",
       "      <td>245.0</td>\n",
       "      <td>2.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>STAY (with Justin Bieber)</td>\n",
       "      <td>142.0</td>\n",
       "      <td>2.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Believer</td>\n",
       "      <td>204.0</td>\n",
       "      <td>2.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Señorita</td>\n",
       "      <td>191.0</td>\n",
       "      <td>2.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Perfect</td>\n",
       "      <td>263.0</td>\n",
       "      <td>2.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Heat Waves</td>\n",
       "      <td>239.0</td>\n",
       "      <td>2.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Say You Won't Let Go</td>\n",
       "      <td>211.0</td>\n",
       "      <td>2.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>bad guy</td>\n",
       "      <td>194.0</td>\n",
       "      <td>2.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Starboy</td>\n",
       "      <td>230.0</td>\n",
       "      <td>2.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Thinking out Loud</td>\n",
       "      <td>282.0</td>\n",
       "      <td>2.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Lucid Dreams</td>\n",
       "      <td>240.0</td>\n",
       "      <td>2.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Don't Start Now</td>\n",
       "      <td>183.0</td>\n",
       "      <td>2.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>lovely (with Khalid)</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Watermelon Sugar</td>\n",
       "      <td>174.0</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>God's Plan</td>\n",
       "      <td>199.0</td>\n",
       "      <td>2.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Bohemian Rhapsody - Remastered 2011</td>\n",
       "      <td>354.0</td>\n",
       "      <td>2.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>247.0</td>\n",
       "      <td>2.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shallow</td>\n",
       "      <td>216.0</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Love Yourself</td>\n",
       "      <td>234.0</td>\n",
       "      <td>1.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Sweater Weather</td>\n",
       "      <td>240.0</td>\n",
       "      <td>1.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SAD!</td>\n",
       "      <td>167.0</td>\n",
       "      <td>1.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Circles</td>\n",
       "      <td>215.0</td>\n",
       "      <td>1.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>All of Me</td>\n",
       "      <td>270.0</td>\n",
       "      <td>1.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Thunder</td>\n",
       "      <td>187.0</td>\n",
       "      <td>1.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>7 rings</td>\n",
       "      <td>179.0</td>\n",
       "      <td>1.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>goosebumps</td>\n",
       "      <td>244.0</td>\n",
       "      <td>1.89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Jocelyn Flores</td>\n",
       "      <td>119.0</td>\n",
       "      <td>1.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>As It Was</td>\n",
       "      <td>167.0</td>\n",
       "      <td>1.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Havana (feat. Young Thug)</td>\n",
       "      <td>217.0</td>\n",
       "      <td>1.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>XO Tour Llif3</td>\n",
       "      <td>183.0</td>\n",
       "      <td>1.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Stressed Out</td>\n",
       "      <td>202.0</td>\n",
       "      <td>1.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>New Rules</td>\n",
       "      <td>209.0</td>\n",
       "      <td>1.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Counting Stars</td>\n",
       "      <td>258.0</td>\n",
       "      <td>1.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Happier</td>\n",
       "      <td>214.0</td>\n",
       "      <td>1.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Let Her Go</td>\n",
       "      <td>253.0</td>\n",
       "      <td>1.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>HUMBLE.</td>\n",
       "      <td>177.0</td>\n",
       "      <td>1.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Wake Me Up</td>\n",
       "      <td>247.0</td>\n",
       "      <td>1.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>SICKO MODE</td>\n",
       "      <td>313.0</td>\n",
       "      <td>1.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Riptide</td>\n",
       "      <td>204.0</td>\n",
       "      <td>1.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>The Hills</td>\n",
       "      <td>242.0</td>\n",
       "      <td>1.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Can't Hold Us (feat. Ray Dalton)</td>\n",
       "      <td>258.0</td>\n",
       "      <td>1.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Sorry</td>\n",
       "      <td>201.0</td>\n",
       "      <td>1.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>good 4 u</td>\n",
       "      <td>178.0</td>\n",
       "      <td>1.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>One Kiss (with Dua Lipa)</td>\n",
       "      <td>215.0</td>\n",
       "      <td>1.72</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Track  Duration in Seconds  \\\n",
       "1                                 Blinding Lights                200.0   \n",
       "2                                    Shape of You                234.0   \n",
       "3                               Someone You Loved                182.0   \n",
       "4                      rockstar (feat. 21 Savage)                218.0   \n",
       "5   Sunflower - Spider-Man: Into the Spider-Verse                158.0   \n",
       "6                                       One Dance                174.0   \n",
       "7                                          Closer                245.0   \n",
       "8                       STAY (with Justin Bieber)                142.0   \n",
       "9                                        Believer                204.0   \n",
       "10                                       Señorita                191.0   \n",
       "11                                        Perfect                263.0   \n",
       "12                                     Heat Waves                239.0   \n",
       "13                           Say You Won't Let Go                211.0   \n",
       "14                                        bad guy                194.0   \n",
       "15                                        Starboy                230.0   \n",
       "16                              Thinking out Loud                282.0   \n",
       "17                                   Lucid Dreams                240.0   \n",
       "18                                Don't Start Now                183.0   \n",
       "19                           lovely (with Khalid)                200.0   \n",
       "20                               Watermelon Sugar                174.0   \n",
       "21                                     God's Plan                199.0   \n",
       "22            Bohemian Rhapsody - Remastered 2011                354.0   \n",
       "23                       Something Just Like This                247.0   \n",
       "24                                        Shallow                216.0   \n",
       "25                                  Love Yourself                234.0   \n",
       "26                                Sweater Weather                240.0   \n",
       "27                                           SAD!                167.0   \n",
       "28                                        Circles                215.0   \n",
       "29                                      All of Me                270.0   \n",
       "30                                        Thunder                187.0   \n",
       "31                                        7 rings                179.0   \n",
       "32                                     goosebumps                244.0   \n",
       "33                                 Jocelyn Flores                119.0   \n",
       "34                                      As It Was                167.0   \n",
       "35                      Havana (feat. Young Thug)                217.0   \n",
       "36                                  XO Tour Llif3                183.0   \n",
       "37                                   Stressed Out                202.0   \n",
       "38                                      New Rules                209.0   \n",
       "39                                 Counting Stars                258.0   \n",
       "40                                        Happier                214.0   \n",
       "41                                     Let Her Go                253.0   \n",
       "42                                        HUMBLE.                177.0   \n",
       "43                                     Wake Me Up                247.0   \n",
       "44                                     SICKO MODE                313.0   \n",
       "45                                        Riptide                204.0   \n",
       "46                                      The Hills                242.0   \n",
       "47               Can't Hold Us (feat. Ray Dalton)                258.0   \n",
       "48                                          Sorry                201.0   \n",
       "49                                       good 4 u                178.0   \n",
       "50                       One Kiss (with Dua Lipa)                215.0   \n",
       "\n",
       "    Stream Count in Billions  \n",
       "1                       3.39  \n",
       "2                       3.36  \n",
       "3                       2.63  \n",
       "4                       2.59  \n",
       "5                       2.54  \n",
       "6                       2.52  \n",
       "7                       2.46  \n",
       "8                       2.37  \n",
       "9                       2.37  \n",
       "10                      2.34  \n",
       "11                      2.31  \n",
       "12                      2.26  \n",
       "13                      2.23  \n",
       "14                      2.20  \n",
       "15                      2.18  \n",
       "16                      2.15  \n",
       "17                      2.15  \n",
       "18                      2.14  \n",
       "19                      2.11  \n",
       "20                      2.10  \n",
       "21                      2.10  \n",
       "22                      2.04  \n",
       "23                      2.03  \n",
       "24                      2.00  \n",
       "25                      1.98  \n",
       "26                      1.97  \n",
       "27                      1.97  \n",
       "28                      1.96  \n",
       "29                      1.94  \n",
       "30                      1.90  \n",
       "31                      1.90  \n",
       "32                      1.89  \n",
       "33                      1.88  \n",
       "34                      1.87  \n",
       "35                      1.85  \n",
       "36                      1.83  \n",
       "37                      1.83  \n",
       "38                      1.81  \n",
       "39                      1.81  \n",
       "40                      1.80  \n",
       "41                      1.79  \n",
       "42                      1.79  \n",
       "43                      1.79  \n",
       "44                      1.78  \n",
       "45                      1.78  \n",
       "46                      1.76  \n",
       "47                      1.74  \n",
       "48                      1.74  \n",
       "49                      1.73  \n",
       "50                      1.72  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Meaning total number of times each track is listened to and grouping the data by Track and Duration.\n",
    "## Please note that we are taking into account the average mean for tracks as there are some tracks that are sung by multiple artists, leading to duplicate 'Stream' figures.\n",
    "\n",
    "top_50_spotify_songs_df = spotify_df.groupby(['Track', \n",
    "                                              'Duration in Seconds']).agg(mean_stream=('Stream','mean')).sort_values(\n",
    "    by='mean_stream', ascending=False).reset_index().head(50) \n",
    "\n",
    "top_50_spotify_songs_df.loc[:,'Stream Count in Billions'] = top_50_spotify_songs_df.loc[:,'mean_stream']\n",
    "\n",
    "\n",
    "# Resetting and adjusting the index for a more accurate data visualisation\n",
    "\n",
    "top_50_spotify_songs_df = top_50_spotify_songs_df.drop(['mean_stream'], axis=1).reset_index(drop=True)\n",
    "top_50_spotify_songs_df.index = range(1, len(top_50_spotify_songs_df) + 1)\n",
    "\n",
    "\n",
    "# Printing our response\n",
    "\n",
    "top_50_spotify_songs_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b5e345d7",
   "metadata": {},
   "source": [
    "# 2.2.3 Who Single-Handedly or Dual Sing the Top 50 Songs/Tracks on Spotify?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a1cc5712",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Artist</th>\n",
       "      <th>Track</th>\n",
       "      <th>Stream Count in Billions</th>\n",
       "      <th>Duration in Seconds</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Weeknd</td>\n",
       "      <td>Blinding Lights</td>\n",
       "      <td>3.39</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>Shape of You</td>\n",
       "      <td>3.36</td>\n",
       "      <td>234.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Lewis Capaldi</td>\n",
       "      <td>Someone You Loved</td>\n",
       "      <td>2.63</td>\n",
       "      <td>182.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Post Malone</td>\n",
       "      <td>rockstar (feat. 21 Savage)</td>\n",
       "      <td>2.59</td>\n",
       "      <td>218.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Swae Lee</td>\n",
       "      <td>Sunflower - Spider-Man: Into the Spider-Verse</td>\n",
       "      <td>2.54</td>\n",
       "      <td>158.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Post Malone</td>\n",
       "      <td>Sunflower - Spider-Man: Into the Spider-Verse</td>\n",
       "      <td>2.54</td>\n",
       "      <td>158.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Drake</td>\n",
       "      <td>One Dance</td>\n",
       "      <td>2.52</td>\n",
       "      <td>174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>The Chainsmokers</td>\n",
       "      <td>Closer</td>\n",
       "      <td>2.46</td>\n",
       "      <td>245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Halsey</td>\n",
       "      <td>Closer</td>\n",
       "      <td>2.46</td>\n",
       "      <td>245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>The Kid LAROI</td>\n",
       "      <td>STAY (with Justin Bieber)</td>\n",
       "      <td>2.37</td>\n",
       "      <td>142.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Justin Bieber</td>\n",
       "      <td>STAY (with Justin Bieber)</td>\n",
       "      <td>2.37</td>\n",
       "      <td>142.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Imagine Dragons</td>\n",
       "      <td>STAY (with Justin Bieber)</td>\n",
       "      <td>2.37</td>\n",
       "      <td>142.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>The Kid LAROI</td>\n",
       "      <td>Believer</td>\n",
       "      <td>2.37</td>\n",
       "      <td>204.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Justin Bieber</td>\n",
       "      <td>Believer</td>\n",
       "      <td>2.37</td>\n",
       "      <td>204.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Imagine Dragons</td>\n",
       "      <td>Believer</td>\n",
       "      <td>2.37</td>\n",
       "      <td>204.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shawn Mendes</td>\n",
       "      <td>Señorita</td>\n",
       "      <td>2.34</td>\n",
       "      <td>191.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Camila Cabello</td>\n",
       "      <td>Señorita</td>\n",
       "      <td>2.34</td>\n",
       "      <td>191.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>Perfect</td>\n",
       "      <td>2.31</td>\n",
       "      <td>263.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Glass Animals</td>\n",
       "      <td>Heat Waves</td>\n",
       "      <td>2.26</td>\n",
       "      <td>239.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>James Arthur</td>\n",
       "      <td>Say You Won't Let Go</td>\n",
       "      <td>2.23</td>\n",
       "      <td>211.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Billie Eilish</td>\n",
       "      <td>bad guy</td>\n",
       "      <td>2.20</td>\n",
       "      <td>194.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>The Weeknd</td>\n",
       "      <td>Starboy</td>\n",
       "      <td>2.18</td>\n",
       "      <td>230.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Juice WRLD</td>\n",
       "      <td>Thinking out Loud</td>\n",
       "      <td>2.15</td>\n",
       "      <td>282.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>Thinking out Loud</td>\n",
       "      <td>2.15</td>\n",
       "      <td>282.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Juice WRLD</td>\n",
       "      <td>Lucid Dreams</td>\n",
       "      <td>2.15</td>\n",
       "      <td>240.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Ed Sheeran</td>\n",
       "      <td>Lucid Dreams</td>\n",
       "      <td>2.15</td>\n",
       "      <td>240.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Dua Lipa</td>\n",
       "      <td>Don't Start Now</td>\n",
       "      <td>2.14</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Khalid</td>\n",
       "      <td>lovely (with Khalid)</td>\n",
       "      <td>2.11</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Billie Eilish</td>\n",
       "      <td>lovely (with Khalid)</td>\n",
       "      <td>2.11</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Harry Styles</td>\n",
       "      <td>Watermelon Sugar</td>\n",
       "      <td>2.10</td>\n",
       "      <td>174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Drake</td>\n",
       "      <td>Watermelon Sugar</td>\n",
       "      <td>2.10</td>\n",
       "      <td>174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Harry Styles</td>\n",
       "      <td>God's Plan</td>\n",
       "      <td>2.10</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Drake</td>\n",
       "      <td>God's Plan</td>\n",
       "      <td>2.10</td>\n",
       "      <td>199.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Queen</td>\n",
       "      <td>Bohemian Rhapsody - Remastered 2011</td>\n",
       "      <td>2.04</td>\n",
       "      <td>354.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>The Chainsmokers</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>2.03</td>\n",
       "      <td>247.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Coldplay</td>\n",
       "      <td>Something Just Like This</td>\n",
       "      <td>2.03</td>\n",
       "      <td>247.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Lady Gaga</td>\n",
       "      <td>Shallow</td>\n",
       "      <td>2.00</td>\n",
       "      <td>216.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Bradley Cooper</td>\n",
       "      <td>Shallow</td>\n",
       "      <td>2.00</td>\n",
       "      <td>216.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Justin Bieber</td>\n",
       "      <td>Love Yourself</td>\n",
       "      <td>1.98</td>\n",
       "      <td>234.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>XXXTENTACION</td>\n",
       "      <td>Sweater Weather</td>\n",
       "      <td>1.97</td>\n",
       "      <td>240.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>The Neighbourhood</td>\n",
       "      <td>Sweater Weather</td>\n",
       "      <td>1.97</td>\n",
       "      <td>240.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>XXXTENTACION</td>\n",
       "      <td>SAD!</td>\n",
       "      <td>1.97</td>\n",
       "      <td>167.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>The Neighbourhood</td>\n",
       "      <td>SAD!</td>\n",
       "      <td>1.97</td>\n",
       "      <td>167.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Post Malone</td>\n",
       "      <td>Circles</td>\n",
       "      <td>1.96</td>\n",
       "      <td>215.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>John Legend</td>\n",
       "      <td>All of Me</td>\n",
       "      <td>1.94</td>\n",
       "      <td>270.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Imagine Dragons</td>\n",
       "      <td>Thunder</td>\n",
       "      <td>1.90</td>\n",
       "      <td>187.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Ariana Grande</td>\n",
       "      <td>Thunder</td>\n",
       "      <td>1.90</td>\n",
       "      <td>187.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Imagine Dragons</td>\n",
       "      <td>7 rings</td>\n",
       "      <td>1.90</td>\n",
       "      <td>179.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Ariana Grande</td>\n",
       "      <td>7 rings</td>\n",
       "      <td>1.90</td>\n",
       "      <td>179.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Travis Scott</td>\n",
       "      <td>goosebumps</td>\n",
       "      <td>1.89</td>\n",
       "      <td>244.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>XXXTENTACION</td>\n",
       "      <td>Jocelyn Flores</td>\n",
       "      <td>1.88</td>\n",
       "      <td>119.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Harry Styles</td>\n",
       "      <td>As It Was</td>\n",
       "      <td>1.87</td>\n",
       "      <td>167.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Camila Cabello</td>\n",
       "      <td>Havana (feat. Young Thug)</td>\n",
       "      <td>1.85</td>\n",
       "      <td>217.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Twenty One Pilots</td>\n",
       "      <td>XO Tour Llif3</td>\n",
       "      <td>1.83</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Lil Uzi Vert</td>\n",
       "      <td>XO Tour Llif3</td>\n",
       "      <td>1.83</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Twenty One Pilots</td>\n",
       "      <td>Stressed Out</td>\n",
       "      <td>1.83</td>\n",
       "      <td>202.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Lil Uzi Vert</td>\n",
       "      <td>Stressed Out</td>\n",
       "      <td>1.83</td>\n",
       "      <td>202.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>OneRepublic</td>\n",
       "      <td>New Rules</td>\n",
       "      <td>1.81</td>\n",
       "      <td>209.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Dua Lipa</td>\n",
       "      <td>New Rules</td>\n",
       "      <td>1.81</td>\n",
       "      <td>209.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>OneRepublic</td>\n",
       "      <td>Counting Stars</td>\n",
       "      <td>1.81</td>\n",
       "      <td>258.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Artist                                          Track  \\\n",
       "1          The Weeknd                                Blinding Lights   \n",
       "2          Ed Sheeran                                   Shape of You   \n",
       "3       Lewis Capaldi                              Someone You Loved   \n",
       "4         Post Malone                     rockstar (feat. 21 Savage)   \n",
       "5            Swae Lee  Sunflower - Spider-Man: Into the Spider-Verse   \n",
       "6         Post Malone  Sunflower - Spider-Man: Into the Spider-Verse   \n",
       "7               Drake                                      One Dance   \n",
       "8    The Chainsmokers                                         Closer   \n",
       "9              Halsey                                         Closer   \n",
       "10      The Kid LAROI                      STAY (with Justin Bieber)   \n",
       "11      Justin Bieber                      STAY (with Justin Bieber)   \n",
       "12    Imagine Dragons                      STAY (with Justin Bieber)   \n",
       "13      The Kid LAROI                                       Believer   \n",
       "14      Justin Bieber                                       Believer   \n",
       "15    Imagine Dragons                                       Believer   \n",
       "16       Shawn Mendes                                       Señorita   \n",
       "17     Camila Cabello                                       Señorita   \n",
       "18         Ed Sheeran                                        Perfect   \n",
       "19      Glass Animals                                     Heat Waves   \n",
       "20       James Arthur                           Say You Won't Let Go   \n",
       "21      Billie Eilish                                        bad guy   \n",
       "22         The Weeknd                                        Starboy   \n",
       "23         Juice WRLD                              Thinking out Loud   \n",
       "24         Ed Sheeran                              Thinking out Loud   \n",
       "25         Juice WRLD                                   Lucid Dreams   \n",
       "26         Ed Sheeran                                   Lucid Dreams   \n",
       "27           Dua Lipa                                Don't Start Now   \n",
       "28             Khalid                           lovely (with Khalid)   \n",
       "29      Billie Eilish                           lovely (with Khalid)   \n",
       "30       Harry Styles                               Watermelon Sugar   \n",
       "31              Drake                               Watermelon Sugar   \n",
       "32       Harry Styles                                     God's Plan   \n",
       "33              Drake                                     God's Plan   \n",
       "34              Queen            Bohemian Rhapsody - Remastered 2011   \n",
       "35   The Chainsmokers                       Something Just Like This   \n",
       "36           Coldplay                       Something Just Like This   \n",
       "37          Lady Gaga                                        Shallow   \n",
       "38     Bradley Cooper                                        Shallow   \n",
       "39      Justin Bieber                                  Love Yourself   \n",
       "40       XXXTENTACION                                Sweater Weather   \n",
       "41  The Neighbourhood                                Sweater Weather   \n",
       "42       XXXTENTACION                                           SAD!   \n",
       "43  The Neighbourhood                                           SAD!   \n",
       "44        Post Malone                                        Circles   \n",
       "45        John Legend                                      All of Me   \n",
       "46    Imagine Dragons                                        Thunder   \n",
       "47      Ariana Grande                                        Thunder   \n",
       "48    Imagine Dragons                                        7 rings   \n",
       "49      Ariana Grande                                        7 rings   \n",
       "50       Travis Scott                                     goosebumps   \n",
       "51       XXXTENTACION                                 Jocelyn Flores   \n",
       "52       Harry Styles                                      As It Was   \n",
       "53     Camila Cabello                      Havana (feat. Young Thug)   \n",
       "54  Twenty One Pilots                                  XO Tour Llif3   \n",
       "55       Lil Uzi Vert                                  XO Tour Llif3   \n",
       "56  Twenty One Pilots                                   Stressed Out   \n",
       "57       Lil Uzi Vert                                   Stressed Out   \n",
       "58        OneRepublic                                      New Rules   \n",
       "59           Dua Lipa                                      New Rules   \n",
       "60        OneRepublic                                 Counting Stars   \n",
       "\n",
       "    Stream Count in Billions  Duration in Seconds  \n",
       "1                       3.39                200.0  \n",
       "2                       3.36                234.0  \n",
       "3                       2.63                182.0  \n",
       "4                       2.59                218.0  \n",
       "5                       2.54                158.0  \n",
       "6                       2.54                158.0  \n",
       "7                       2.52                174.0  \n",
       "8                       2.46                245.0  \n",
       "9                       2.46                245.0  \n",
       "10                      2.37                142.0  \n",
       "11                      2.37                142.0  \n",
       "12                      2.37                142.0  \n",
       "13                      2.37                204.0  \n",
       "14                      2.37                204.0  \n",
       "15                      2.37                204.0  \n",
       "16                      2.34                191.0  \n",
       "17                      2.34                191.0  \n",
       "18                      2.31                263.0  \n",
       "19                      2.26                239.0  \n",
       "20                      2.23                211.0  \n",
       "21                      2.20                194.0  \n",
       "22                      2.18                230.0  \n",
       "23                      2.15                282.0  \n",
       "24                      2.15                282.0  \n",
       "25                      2.15                240.0  \n",
       "26                      2.15                240.0  \n",
       "27                      2.14                183.0  \n",
       "28                      2.11                200.0  \n",
       "29                      2.11                200.0  \n",
       "30                      2.10                174.0  \n",
       "31                      2.10                174.0  \n",
       "32                      2.10                199.0  \n",
       "33                      2.10                199.0  \n",
       "34                      2.04                354.0  \n",
       "35                      2.03                247.0  \n",
       "36                      2.03                247.0  \n",
       "37                      2.00                216.0  \n",
       "38                      2.00                216.0  \n",
       "39                      1.98                234.0  \n",
       "40                      1.97                240.0  \n",
       "41                      1.97                240.0  \n",
       "42                      1.97                167.0  \n",
       "43                      1.97                167.0  \n",
       "44                      1.96                215.0  \n",
       "45                      1.94                270.0  \n",
       "46                      1.90                187.0  \n",
       "47                      1.90                187.0  \n",
       "48                      1.90                179.0  \n",
       "49                      1.90                179.0  \n",
       "50                      1.89                244.0  \n",
       "51                      1.88                119.0  \n",
       "52                      1.87                167.0  \n",
       "53                      1.85                217.0  \n",
       "54                      1.83                183.0  \n",
       "55                      1.83                183.0  \n",
       "56                      1.83                202.0  \n",
       "57                      1.83                202.0  \n",
       "58                      1.81                209.0  \n",
       "59                      1.81                209.0  \n",
       "60                      1.81                258.0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# First of all, please note that seeing that there are duets, we wanted to separate Top 50 Songs from Top 20 Artists.\n",
    "\n",
    "## Merging our Top 50 lists with our initial Spotify DataFrame to fetch the corresponding artist names via stream count of tracks.\n",
    "\n",
    "top_50_spotify_songs_w_artist_names_df = top_50_spotify_songs_df.merge(\n",
    "    spotify_df[['Artist','Stream']], \n",
    "    left_on='Stream Count in Billions',   \n",
    "    right_on='Stream',\n",
    "    how='inner')\n",
    "\n",
    "\n",
    "# Dropping the redundant merging column\n",
    "\n",
    "top_50_spotify_songs_w_artist_names_df = top_50_spotify_songs_w_artist_names_df.drop(['Stream'], axis=1).reset_index(drop=True)\n",
    "\n",
    "\n",
    "# Other Data Handling Operations for a Better Data Visualisation\n",
    "\n",
    "top_50_spotify_songs_w_artist_names_df = top_50_spotify_songs_w_artist_names_df.sort_values(by=[\n",
    "    'Stream Count in Billions','Track', 'Artist'], ascending=False)\n",
    "\n",
    "readjusted_column_order = ['Artist', 'Track', 'Stream Count in Billions', 'Duration in Seconds']\n",
    "top_50_spotify_songs_w_artist_names_df = top_50_spotify_songs_w_artist_names_df[readjusted_column_order]\n",
    "\n",
    "top_50_spotify_songs_w_artist_names_df.index = range(1, len(top_50_spotify_songs_w_artist_names_df) + 1)\n",
    "\n",
    "\n",
    "# Printing our response - only the first 60 rows out of 89 in total\n",
    "\n",
    "top_50_spotify_songs_w_artist_names_df.head(60)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b96dcac1",
   "metadata": {},
   "source": [
    "# 2.2.4 What Percentage of Top 50 Songs are Contributed by Top 20 Artists on Spotify?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "14c2e2fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Please note that as a track can be sung by many artists, we have to take into account all artists.\n",
    "\n",
    "## Identifying each artist as to whether they are in the Top 20 and counting the Yes-No Distribution\n",
    "\n",
    "top_50_spotify_songs_w_artist_names_df['Produced by Top 20 Artists?'] = top_50_spotify_songs_w_artist_names_df[\n",
    "    'Artist'].isin(top_20_spotify_artists_df['Artist']).map({True: 'Yes', False: 'No'})\n",
    "\n",
    "counts = top_50_spotify_songs_w_artist_names_df['Produced by Top 20 Artists?'].value_counts()\n",
    "\n",
    "\n",
    "# Plotting a pie chart for visualising the data distribution\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(6, 6))\n",
    "\n",
    "labels = ['No','Yes'] \n",
    "colors = ['#B3B3B3', '#62d089'] #Leveraging Spotify's Colour Palette to achieve an elegant and more importantly coherent outlook\n",
    "\n",
    "\n",
    "ax.pie(counts, labels=labels, autopct='%1.1f%%', colors=colors)\n",
    "\n",
    "plt.title('Distribution of Top 50 Tracks sung by Top 20 Artists on Spotify', fontstyle='italic', pad=20)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85a327b5",
   "metadata": {},
   "source": [
    "# 2.2.5 If Exists, How Strong is the Correlation between Popular (Top 50) Tracks and Track Duration?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "12b3d6ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creating a scatterplot with regression line to visualise the correlation\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.regplot(data=top_50_spotify_songs_df, x='Duration in Seconds', y='Stream Count in Billions', scatter_kws=\n",
    "            {'alpha':0.5, 'color': '#212121'}, line_kws={'color': '#62d089'}) #Please note that in order to avoid duplicate track record, we are simply resorting to the simplifed Top 50 Tracks DataFrame\n",
    "\n",
    "\n",
    "# Calculate correlation coefficient to determine the strength of a potential correlation\n",
    "\n",
    "correlation_coefficient = top_50_spotify_songs_df['Duration in Seconds'].corr(\n",
    "    top_50_spotify_songs_df['Stream Count in Billions'])\n",
    "\n",
    "\n",
    "# Other visualisation details of our Scatterplot\n",
    "\n",
    "plt.xlabel('Duration (in Seconds)')\n",
    "plt.ylabel('Number of Streams (in Billions)')\n",
    "plt.title('Scatterplot with Linear Regression Line of Duration vs. Number of Streams', fontstyle='italic', pad=20)\n",
    "\n",
    "plt.text(0.83, 0.4, f'Correlation Coefficient: {correlation_coefficient:.2f}', \n",
    "         ha='center', va='center', color='white', weight='bold', backgroundcolor='#535353', transform=plt.gca().transAxes)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80b3307e",
   "metadata": {},
   "source": [
    "# 2.2.6 Which Track Measures Have Meaningfully-Strong Positive/Negative Correlation Among Themselves?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "2dadebc5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mJrJ1Dx8+XOjq6irdJV62bJkAIF6+fCmE+NS25cuXl/Wk2LBhgwCg1L33zz//FACku+AhISHCxMRENGvWTHYXPjExUTg6OopevXpJaZ07dxYAxLZt22Rl6tWrl8iXL58srXz58uKnn35S2iaOjo6ib9++mW43IsocH3ZClMvu3LmDhIQElCpVKkv5z507h3///RcTJkyAhYWFbJq7uztev34tPe3sypUrAIC//vpLaeD/lStXoK2tjXnz5snSb968iR07dmDw4MFwcXFBUlKS9ClevDji4+MREhICIPVhAwBQrlw5af4XL15g6NCh8PDwgLGxMXR1daGrq4vnz5/D2NhYtn4AKFu2rGz9b968wdOnT6UHRcTFxeGvv/5Chw4dlAb7u7u7A4D0dLpbt24hMTERo0ePhqWlpZTv/fv3SEhIgJ2dXabbNq1Ma9euxYkTJ5Q+NjY2KFGiBHR1dQEAe/fuxeXLl+Hj4wNzc3PZtipRogSePHkiLfvDhw/w9fVF2bJlYWFhAR0dHejq6mL9+vWy7fLixQuEh4crbZe08lWqVAmtWrWSpb979w7NmzdHtWrVpLSEhAQkJCTI9pGsliGtXX18fGBqaiql6+rqws3NDREREZluRyEEBg4ciDx58mDGjBlSesmSJREWFoZXr15JaTNmzEBCQgKWLVuW4QNkhBC4du0amjZtiiZNmsim+fr6wsDAAJMmTZKlm5mZwdraWto3tLW1YW5ujr///hvLly+XlSGNlZUVAKBnz544cuQIEhISMq1netL2ofQedJL2IJ2M2hYASpcunenyixcvDoVCIXvgyZgxY6BQKDBz5kwpLattnbbeP//8EyYmJkpl0tLSko5N27dvx4MHD/Dnn38qPaDI3d1d9pTIgIAAlC5dGgqFQmmZjo6O0n5pYmICfX19TJo0CZs3b0ZUVFSm9f/cqFGj8OLFCyxbtgzt2rXDixcvMGnSJHh6euL169cAVHP8eP36NZYtW4bhw4ejUKFCsmUWKlQIxsbG8PDwyLTsV65cgaenJy5fvqz0+eeff6R89+7dw/v376VjbGRkJObPn4+OHTuiYsWKSsdnAHj8+LG0DgCYMmUK9PT0pGW+e/cOQGqbf94+MTEx0NXVlfaDWbNmITY2Fr6+vkhJSZHWAwAeHh7SeoDUfbt8+fJo06aNrJ6RkZGy425SUhJu3ryZ7nfAysoKW7Zswdy5c9N9kjERZYG6I0mi/zWHDh0SAKTuXV+T1oUq7arp5zp16iQsLS2l/zt27CgKFiyY7nKqVq2a7l3A6dOnf/WuVNqV+x49eghHR0dp3tu3bwszMzPh6ekpFi5cKA4fPiwuXbokXfnetGmTlHfw4MHCyspKaf1HjhwRAMSFCxeEEJ/GXqR3527FihWyq99Lly4VAMSzZ89k+dLGtp06dSrdbZHm559/lo27+lxaN7PevXtLaX369Ml0O1lYWAghUrvblSxZUuTPn19MnjxZ7N+/X1y4cEGcOXNG6OjoiF9//VVa5q5duwQAcfv2bdn64+LihI6Ojpg8ebIs/cWLF+l2oUy7W7p79+5sl2Hs2LFCV1dXaRyWEEK4uLiIn3/+OdPtuHLlSgFAjB8/XtY1Ne2K/+fjawoVKiSaN2+e6fIePHggAIhVq1YpTXN2dk736n58fLzQ1tYWw4cPl9LSxj0ZGxsLhUIhqlSpIg4ePCibb+nSpaJ06dJCoVCIvHnziq5du4rg4OBMy/e57t27C21tbaVxaEIIMW7cOAFAPH36VGmam5ub7I5WZpydnaXxpGl3Pv/44w9penbbWl9fX8TGxiqtp2PHjqJIkSKyuuXNmzfdMlWrVk2ULVtWCJF6x8bAwEC27dN4eHgILy8vWdqJEydE/fr1hb6+vtDR0RENGjSQuttlR3x8vOjUqZMAIBYtWiSEUM3xY/PmzQKA1OX5c40bNxbVqlXLtJxp4wQ/P5ZkZN26dQKAePLkiWzdmX1u3rwphPjUtl+Ok+3Zs2e6D5lq2rSpKF26tPR/4cKFM11PWjvGxsYKbW1tWRf7NI6OjqJ79+7S/9euXZPG0n3pyZMnolOnTsLMzEwAEKVKlZLdeSair/uxn9VL9B9kY2MDAFm+AhkeHg59fX2Ym5vL0uPj43Hy5Ek0aNBASrty5QoqVqyotIyUlBRcv34d/fr1U5r24sULmJqa4ujRo+muX1tbW7piGxAQILvKPXXqVOjq6uLs2bOyq/6bNm0CIL9zd+XKlQzvTOjo6KBkyZJSfQHA1tZWKa+/vz/s7OxQrFgxaV5ra2sULFhQli8gIAAKheKrdzvSXi2Q3mPLr127BiGErMwvXryAh4dHhu+cMzQ0BACsX78eN2/exKVLl2Tba/fu3UhKSlLaLkZGRihSpIhsWTdu3FDKm1Y3AErpX97xzE4ZAgICYGVlJT3+PM3Fixfx+PFjjB8/Pt36AqlX+3///XcAqXcCpkyZopTn+vXraNiwIQAgODgYderUyXB5n9clvX05PDw83X3jyJEjSE5Oln0fPD09sWvXLiQmJuLEiRMYPnw4fvrpJ7x+/Vq68/jrr7/i119/RUREBDZs2IDRo0cjLi5OdpckM1evXkWRIkVgZGSkNC1tf/jyzuOJEyfw8OFDLF68OEvrKFmyJK5fvw4g9XUDLi4uGD58uDQ9u/tbyZIlpbJ97svvaEbbOjw8HNeuXcOgQYMAAIGBgfj48aPSXckXL17g3r17Su+HrFWrFmrVqoW4uDgcPHgQQ4YMQfPmzdO9a5oZPT09NG7cGBs2bJB6Jaji+PHy5ct0l/nu3TtcuHAB3bp1y7Sc169fR0pKCjw9Pb9ap7TvopOTE4DUbQgA//77b7ptBkC6G5h21y+tB8Hny/zyeJGWv1mzZtL/L168QKdOnTJ8f12+fPmk+iQnJystMyIiAs+ePZPtQxn1xAAAJycnrF+/HikpKbhw4QK8vb3RuXNnlClTBkWLFk23DEQkx0COKJeVKFECLi4u2Lp1KyZNmiT9OH7u2LFjqFu3LoDUH7v4+Hg8e/YMjo6OUp4ZM2YgJCQEQ4cOBZDater+/fvo3r270vLu3buHDx8+pPtjbmFhgZiYGDg7O8u6F30pLi4Od+/elb37Kq1Mnwdxt27dwpIlS2Bqago3Nzcp/ebNm+jVq5fScq9cuQIPDw/pJCXtBCYoKAiVKlWS8p06dQo7duzA7Nmzpe5Bae9lSm+ZhQoVUuo69rno6Gg8fvxYduL/5TIAeZc5CwsL6UT4865LX0oL0j8/GYmJicHo0aMByIOwmzdvokiRIkon+2nrTy9g09fXl7pVpbl69Sry588Pe3v7bJchICAA0dHRiIqKgpmZGQAgOTkZo0ePhpOTU6bvO/Px8cGrV6+wZMkSFC5cWDYtISEBjRo1koIQALC3t8fNmzczXF5aHfPkyaMU3AKp+0dQUJAsLTY2FmPGjIGnpyfq1aunNI+uri4aNGiAtm3bwsfHB0IIpTxWVlYYPHgw/v77b6k72dfEx8fj7t27aN++fbrT07rh3bx5EwUKFAAAfPz4EUOHDkWhQoXQo0ePLK2nRIkS2LNnD5YuXYrz589j9+7dsq6O2Wnrq1evonXr1krrSDt+9O7dW0pzcnLCyZMn8eHDB9l3fMyYMRBC4LfffgMA6f2HaftempkzZ0IIkeH79QwNDeHl5YX9+/fDz88vw/q/fv0a5ubmShdchBDYtm0btLS0pAsFqjh+pB2j7969Kzte//HHH3j79m26y/hyeQCyFMhdvnxZtry0Lql58+b96vxXr15V6ur48eNH3LlzR6nNQ0NDERYWJguw0n4LvlaftC7DX7uYBKTu+xYWFtIFzPRoaWmhSpUq6NWrF/79918kJydnun4i+oxa7wcS/Y86duyY0NfXFw4ODmL+/Pni6NGj4tChQ2L27NmifPnysi6QL1++FHnz5hWVKlUSu3fvFocOHRI9e/YUWlpasgcsnD59WgAQx44dU1rf+vXrBQDx6NEjpWmBgYHC0NBQlC5dWqxbt06cOnVK7N69W8ydO1fWJSrtUfifL3/YsGFSN69jx46JGTNmCCcnJ2FhYSHq1KkjW0/BggVFuXLlxLFjx8T58+elrqKurq6iW7duUr7k5GRRvnx5YWtrK9asWSNOnDghpkyZIoyNjUX79u2lQfiJiYlCX19fjB8/XqlObm5uomPHjpm2QdrjwDN6Ul7Hjh2Fjo6O7CEPx48fF1paWqJWrVrin3/+EadOnRI7d+4U06dPlz0IYM+ePQKA+OWXX8SxY8fEqlWrRJEiRYSzs7NS16cuXboIU1NT4efnJ86fPy91w+vZs2e63WQbNWokKlSooJRetmxZqftddsrw+PFjAUAULFhQ1KtXTxw8eFDs2rVL1K5dW+TJk0f2pLovBQYGCl1d3XQfoJPG2dlZ1l0vrStv9+7dxYEDB8ShQ4fErFmzpIeUCCFE3bp1RfXq1dNd3vz58wUAMXLkSHHs2DGxceNG4enpKWxtbaUnJj59+lQUL15cTJs2TezZs0ccO3ZMTJkyRRgaGkoPV5g2bZpo2bKlWLFihTh27JjYvXu3aNGihdDT05M9CTI9u3btEtu2bRO+vr4CgOjYsaPYtm2b2LZtm+wBLvHx8cLR0VG4u7uLnTt3Cj8/P1GlShVhYWHx1YdjfG7r1q0CgDA0NBQNGzZUmp7Vtk7rlpveI/DTjh8nT56U0q5duya0tbVF06ZNxcGDB8XevXtFq1athK6urvDz85PyPXnyRGhpaYlu3bqJ8PBwcf/+fTF48GBhaWkpe5jMqVOnRKVKlYSvr684ePCgOHz4sBgxYoTQ0tLK9KE0kydPFs7OzsLHx0d6IueaNWtEzZo1hUKhEHPmzJHyquL4ERYWJvLkySMKFSoktm7dKo4cOSJ69uwprKys0n1S55e6dOkiAIhDhw5JT278/JPWpTntFTGflykiIkJYWVkJFxcXsXTpUnHy5Emxb98+sWjRItGsWTPx/v17Wdt+2R35woUL6T6gau/evQKA7F2lad34f/31V7Fv3z5x4sQJsWXLFjFixAgxd+5cKV+PHj2Eg4ODUj2nTp0qdHR0ZN12J0yYIL3m5vz58yIoKEgkJCQIDw8PMX78eLFz505x4sQJMXfuXOl9i0SUdQzkiNTk1q1bomPHjsLOzk7o6upKj/geMWKE0qPGL1++LGrXri1MTU2FqampaNCggdL7f+bNmycUCoXsqYNphgwZIo3fSs/Vq1dFixYthK2trdDT0xN2dnaiXr16siDnr7/+Ulr+u3fvROfOnYWpqakwNzcXbdq0EXfv3hWGhoZKT4w8ePCgKFq0qNDT0xMAxJUrV6SX5M6fP1+WNzQ0VHTq1EnY2NgIIyMjUaZMGbF06VLZE9euX78uGxOWJm2Zvr6+GdZXiE+PA/9yW6cpUqSIKFmypFL68ePHRb169YS1tbUUjDdr1kzs2rVLlm/atGnC1tZWGBkZiWrVqgl/f3/RoEEDpSDs0aNHombNmsLY2FgAkE5KS5UqpTS2SAghrK2tld5ZlZCQIPT09MSECROyXYa0IOHcuXOic+fOIm/evMLExES0aNFC3L17N+MNKFIfI29mZpbpUx9btmwptLS0pDFkycnJYt68eaJ48eLCyMhImJqaigoVKogdO3ZI85ibm4uhQ4emu7y0+QsXLixt/379+smeXPjo0SPRoUMH4e7uLoyMjISZmZmoWLGiWL16tXQiv3nzZlGvXj1pny9QoID4+eef0x0H9blXr15lOIYovTGgN2/eFDVq1BD6+voiX758onPnztL4p6xKeyefrq6u7PUKn8tKW/v5+QkA4saNG0rzpx0/vnwv2eHDh0XFihWFsbGxsLS0FK1atUr3O7NkyRJRoEABoa+vL42Z/fXXX2VjswICAkTr1q2Fk5OTMDAwEFZWVqJmzZqyoDA9p06dEj169BAeHh7CzMxM6OjoCDs7O/Hzzz+Ls2fPKuVXxfHj+PHjonTp0sLAwEC4uLiIiRMniqFDh2Y4JvlzxYsXz3Cf+Xxs6o0bN9It04MHD0SnTp2Eg4OD0NPTE/nz5xfVqlWTBb9pbZs2Xi5N2njlL5/s6ePjo/TuzpSUFLF8+XJRpkwZkTdvXmFsbCzc3NxE586dZftMqVKlRKtWrZTq2apVK6VjZmRkpGjWrJnImzevACAGDhwo3rx5I3r06CGKFi0qTExMhImJifD09BRz587ViBfTE/1IFEKk08eEiIj+J4waNQqLFi1CdHR0hk+RJCK5R48eoWLFihgxYgTGjBmj7uIQ0f8oBnJERP/D6tSpg6SkJPz777/qLgrRD2nt2rWIiIhAiRIlAKSOKZ03bx4KFy6MY8eOZTpelohIlfiwEyKi/1FCCFy9ejXLD90g+l/07t07LFmyBMHBwUhJSYG7uzuGDBmC4cOHM4gjIrXiHTkiIiIiIiINo6XuAhAREREREVH2MJAjIiIiIiLSMAzkiIiIiIiINAwDOSIiIiIiIg3DQI6IiIiIiEjDMJAjIiIiIiLSMAzkiIiIiIiINAwDOSIiIiIiIg3DQI6IiIiIiEjDMJAjIiIiIiLSMAzkiIiIiIiINAwDOSIiIiIiIg3DQI6IiIiIiEjDMJAjIiIiIiLSMAzkiIiIiIiINAwDOSIiIiIiIg3DQI6IiIiIiEjDMJAjIiIiIiLSMAzkiIiIiIiINAwDOSIiIiIios/8+++/aN68Oezs7KBQKODn5/fVeU6dOoWyZcvCwMAALi4uWLJkiUrLyECOiIiIiIjoMx8+fICnpyf+/vvvLOV/8uQJmjRpgurVq+PatWv4/fffMWjQIOzYsUNlZVQIIYTKlk5ERERERKTBFAoFdu3ahZYtW2aYZ/To0dizZw8CAwOltL59++LGjRs4f/68SsrFO3JERERERPSfFh8fj3fv3sk+8fHxObb88+fPo0GDBrK0hg0bIiAgAImJiTm2ns/pqGSp9J/VYGIHdRdBLVYMmqnuIqiFlaGFuougFhFxb9RdBMpFw/oMUXcR1GLC1PHqLoJaTB43Rd1FUIv/1fb+K/6QuougFis9R6m7CBlS17lkFUUhTJo0SZY2ceJE+Pj45Mjyw8LCkD9/flla/vz5kZSUhIiICNja2ubIej7HQI6IiIiIiP7TvL29MWzYMFmavr5+jq5DoVDI/k8bwfZlek5hIEdERERERP9p+vr6OR64fc7GxgZhYWGytPDwcOjo6MDS0lIl6+QYOSIiIiIiou9QuXJlHDlyRJZ2+PBhlCtXDrq6uipZJwM5IiIiIiKiz8TExOD69eu4fv06gNTXC1y/fh3Pnz8HkNpVs0uXLlL+vn374tmzZxg2bBgCAwOxatUqrFy5EiNGjFBZGdm1koiIiIiI6DMBAQGoXbu29H/a+LquXbtizZo1CA0NlYI6AHB2dsaBAwcwdOhQLFy4EHZ2dpg/fz5at26tsjIykCMiIiIiIvpMrVq1kNnrttesWaOUVrNmTVy9elWFpZJj10oiIiIiIiINw0COiIiIiIhIwzCQIyIiIiIi0jAM5IiIiIiIiDQMAzkiIiIiIiINw0COiIiIiIhIwzCQIyIiIiIi0jAM5IiIiIiIiDQMAzkiIiIiIiINw0COiIiIiIhIwzCQIyIiIiIi0jAM5IiIiIiIiDQMAzkiIiIiIiINw0COiIiIiIhIwzCQIyIiIiIi0jAM5IiIiIiIiDQMAzkiIiIiIiINw0COiIiIiIhIwzCQUzMnJyfMmzcv0zwKhQJ+fn4AgKdPn0KhUOD69esAgJMnT0KhUCAqKkql5SQiIiIioh+HjroLkF3dunXD2rVrAQA6OjqwsLBAyZIl8csvv6Bbt27Q0vrvxaahoaEwNzdPd1qVKlUQGhoKU1NTAMCaNWswZMiQ/0xgV8KxCH6u2gzuts6wzGsOn82+OHcvQN3F+mZ7duzGtk1bERkZCSdnJ/w2uB9KlCqZbt7TJ09j3649ePTgERITEuHo7IjOPbuifKXy6eY/ceQ4pk38A1WqV8GkGVNUWY2v2rp1K9auXYuIiAi4urpixIgRKFOmTIb5AwIC4Ovri0ePHsHa2hpdu3bFzz//LE0/duwYVq5ciRcvXiApKQkFCxZE586d0axZMylPUlISli5digMHDiAyMhJWVlZo3rw5evfurbbjQnba+/aNW1i+aDlePHuO+I/xyG+TH01bNkPr9m2kPIf2+2P2H7OU5t1/4iD09PVUVo/syun9/Onjp1i7Yg0e3LuPV2Gv8NvgfvBq1zq3qpNtbdu2Rb169WBsbIyHDx9i+fLlePnyZYb569Wrh5o1a8LBwQEA8PjxY2zatAkPHz6U8mhpaaFt27aoXr06zMzMEBUVhRMnTmDHjh0QQqi8Tp8TQmDblm04eugYYj7EwL2QO3r16QmHgg6Zznfh3AVs2fgPXoW9Qn6b/Pil0y+oWLmCLE9k5BtsXLsB165eR0J8AmztbfHbgN/g6uYi5Xn54iU2rN2Iu3fuQqQIOBR0wNBRQ2FtbaWS+n5Ndtu7YsWK8PLygo2NDbS1tREaGoq9e/fi33//lfK0atUKFStWhL29PRISEhAUFIQNGzYgJCQkN6oko6r2Tk5OxtbN23D61GlERUXB3NwcterUQuu2Xukes5cuWoajh46iW8+uaPpT0xyv59eEHrqLl3tuISEqDkYFzODSrRJMPWy+Ot+7e69w02c/jB3MUXpWKyn9ps9+vLsbppTfvHQBFPNumKNlp/8ujQvkAKBRo0ZYvXo1kpOT8erVK/j7+2Pw4MHYvn079uzZAx0djaxWhmxsMj5Q6OnpZTpd0xno6uNx2DMcunYKE9sPVXdxvsvJoyew+K9FGDhiEIqVLI79fvvw+3BvrNy4Cvls8ivlv3X9JsqUL4sefXrC2CQPDu33x4RR47Bg+d9wK+wuy/sq9BWW/b0UJTxL5FZ1MnTo0CHMmjUL3t7eKFWqFHbs2IEBAwZgx44dsLW1VcofHByMgQMHwsvLC1OnTsX169cxffp0mJubo169egAAU1NT9OrVC05OTtDV1cXp06fh4+MDCwsLVKlSBUDqRYzt27dj8uTJcHV1xZ07d+Dj4wMTExN06NAhV7cBkP32NjAwQIvWLeHi5gIDQwPcvnELf82cBwMDAzRt+SlgNTI2xuota2Tz/khBnCr28/iPH2FrZ4satWtgyfzFuV2lbGnZsiWaNWuGhQsXIiQkBG3atMGECRMwaNAgfPz4Md15ihUrhjNnziAoKAgJCQlo2bIlxo8fj6FDh+LNmzfSchs0aIC///4bL168gKurK/r374/Y2FgcOHAgN6uI3Tt3Y9/u/eg/uB9s7WyxY+tOTJkwFX8tmgdDI8N05wm6dx9zZ81D+47tUKFSBVy6cAlzZ83FlOmT4f7/7RwTE4PxY8ajWPFi+H3C7zA1zYtXYa9gbGwkLScsNAzjvSegTr06aNehLYyMjPDyZTD0dHVzpe5f+pb2jomJwY4dOxAcHIykpCSULVsW/fv3R3R0NG7cuAEAKFq0KPz9/fHw4UNoa2ujQ4cOGD9+PIYMGYL4+PjcrKLK2ttvx24c8T+C/kP6w8GhAB49fIxF8xfByNgITZs3kS3v0oVLeHD/Acwt0r+orWqvzz3G4zUX4dqrCvIWzo+wo/dwZ9ohlJnbGgZWeTKcLyk2AfcXnoJZCTskRsXJpnmMqAeRlCz9n/g+HtdG7oJVZWeV1YP+ezTy9pW+vj5sbGxgb2+PMmXK4Pfff8fu3btx8OBBrFmzBgDg6+uLEiVKwNjYGA4ODujXrx9iYmKkZaxZswZmZmY4dOgQPDw8kCdPHjRq1AihoaGyda1atQrFihWDvr4+bG1tMWDAAGladHQ0fv31V+TLlw958+ZFnTp1pIMwADx69AgtWrRA/vz5kSdPHpQvXx5Hjx5Vqs/79+/RoUMH5MmTB3Z2dliwYIFs+uddK7/0edfKkydPonv37oiOjoZCoYBCoYCPjw8mT56MEiWUT/DLli2LCRMmfHV7q9Plhzew5vg2nA28rO6ifLcdW7ajUfPGaPJTUzg6OaLfkP6wzpcPe3ftTTd/vyH90a5TexQuWgQFHAqgZ99esHewx/mz52X5kpOTMX3SNHTp1RU29sqBUm7bsGEDWrZsCS8vL7i4uGDkyJGwsbHBtm3b0s2/fft22NraYuTIkXBxcYGXlxdatGiBdevWSXnKlSuHOnXqwMXFBQ4ODujQoQPc3d1x7do1Kc/NmzdRs2ZNVK9eHXZ2dqhfvz4qVaqEu3fvqrzO6clue7sVdkedBnXg5OIEG1sb1GtUH2UrlsOtG7dk+RQKwMLSQvb5kahiPy9ctAh+HdAHtevXga6aTtizqmnTpti5cycuXryIFy9eYMGCBdDX10f16tUznOevv/7CoUOH8PTpU4SEhGDJkiVQKBSy43bhwoVx+fJlXL16Fa9fv8aFCxdw48YNuLq65ka1JEII7N97AF4/t0LFyhVR0LEgBgzpj/iEeJz590yG8+3fsx8lS5VEqzatYF/AHq3atELxksWxf+9+KY/fjt2wtLJE/8H94F7IDfny50MJzxKwsf10sXLzhi0oXbY0OnfrBGcXZ+S3yY+y5crA1MxUpfXOyLe09507d3Dp0iUEBwfj1atXOHDgAJ49ewYPDw8pzx9//IGTJ0/i5cuXePbsGRYuXAhra2u4uLhkuFxVUGV73w+6j3IVy6FsuTLIlz8fKletBM/SJfHo4SPZsiIj32DlslUYPGyQ2i7UB++7jfx1CsGmbmHpbpy+lTHCDgdmOt/DZWdgXdUVJu75lKbp5tGHnpmR9Im6GQxtfR1YVWIgR1mnkYFceurUqQNPT0/s3LkTQGo3lPnz5+P27dtYu3Ytjh8/jlGjRsnmiY2NxezZs7F+/Xr8+++/eP78OUaMGCFNX7x4Mfr3749ff/0Vt27dwp49e+Dm5gYg9eDWtGlThIWF4cCBA7hy5QrKlCmDunXrSldQY2Ji0KRJExw9ehTXrl1Dw4YN0bx5czx//lxWjlmzZqFkyZK4evUqvL29MXToUBw5ciTb26BKlSqYN28e8ubNi9DQUISGhmLEiBHo0aMH7t69i8uXPwVDN2/exLVr19CtW7dsr4eyLzExEfeD7qNshXKy9LIVyuLOrTtZWkZKSgpiY+NgkjevLH3D6vUwMzNF4y+uYKpDYmIiAgMDUblyZVl6pUqVZBc5Pnfjxg1UqlRJllalShUEBgYiMTFRKb8QAhcvXsTTp09RtmxZKb1UqVK4dOkSnj17BgAICgrC9evXUbVq1e+tVrblRHs/DHqAu7fuoGRpeZfEuLg4dGz1C35p0Q7jRvyOh0EPcqzc30uV+7kmyJcvH8zNzWX7elJSEu7evYvChQtneTl6enrQ1taWXXwMDAxEiRIlpLvajo6OKFKkCK5evZpzFciC8FfhiHobBc/SnlKarq4uihYriqB7QRnOdz/oPjy/6F5bqrQngu7dl/4PuBQAV1cXzJnhi55demHkkFE4evjTxc+UlBRcDbgKOztbTJ34B3p26QXvEb/j0oVLOVjDrMup9i5RogTs7OwyvehkZJR6V/LzfSI3qLK9i3gUwe2btxESnNpd9OmTp7h3NwhlypaW8qSkpGDB3AX4qdVPX+3KqSopScmIeRwBM097WbpZSXu8CwrPcL5XJ+7j46v3KPhz6QzzyPIfvw+rKi7QNvixL1bRj+U/1QexSJEiuHnzJgBgyJAhUrqzszOmTJmC3377DYsWLZLSExMTsWTJEumK5oABAzB58mRp+tSpUzF8+HAMHjxYSitfPnXcxokTJ3Dr1i2Eh4dDX18fADB79mz4+flh+/bt+PXXX+Hp6QlPT0/Z8nbt2oU9e/bI7uxVrVoVY8aMAQAUKlQIZ8+exdy5c1G/fv1s1V9PTw+mpqZQKBSy7pZ58uRBw4YNsXr1aqn8q1evRs2aNTO9uhcfH6/UhSMlKRlaOtrZKhcB0VHRSElOUeoWYm5hjrf/H/h/zfbN2/AxLg4169SU0m7fvA3/vQexZO2yHC3vt3r79i2Sk5NhYSG/S2RpaYnIyMh054mMjISlpaUszcLCAklJSYiKioK1tTWA1DvXDRs2RGJiIrS0tODt7S0LALt3746YmBi0atUK2traSE5ORv/+/dG4ceMcruXXfU97/9KiHaKjopGcnIzOPbugyWdjQRwcC2Lk2FFwdnVB7IcP2LV1J4b0HYwl65ahgEMBldQlO1S1n2uKtLHMX45R/nw/zopOnTrhzZs30u8ZAPj5+cHIyAh//fUXUlJSoKWlhc2bN+Ps2bM5UvasinobBQDSuOw0pmamiAiPyHi+qCiYmpl9MY+ZtDwgNWg47H8EzVo0hdfPrfDw/kOsWr4aujq6qFmnJqKj3+Hjx4/w27Eb7Tu2Q8euHXH96nXM/nMOJk6diGLFi+ZUNbPke9rbyMgIS5cuha6uLlJSUrBixQpZe3+pa9euCAwMxIsXL7673NmhyvZu2boFYmNjMaT/UGhpaSElJQW/dGqPajWqSXl279wNbW1tNGmW+8fxNInvPgIpAnqm8m6keqaGiPqiu2SauNBoPN10GSUnNYNC++v3TN4/fI3YF2/h/lvGd3KJ0vOfCuSEEFAoFABSA61p06bh7t27ePfuHZKSkvDx40d8+PABxsbGAFIPpJ93S7G1tUV4eOrVlfDwcISEhKBu3brpruvKlSuIiYlROgGNi4vDo0ep3QI+fPiASZMmYd++fQgJCUFSUhLi4uKU7sh9efeicuXKX32SZXb17t0bPXr0gK+vL7S1tbFx40bMmTMn03mmT5+OSZMmydJcahSHay31j8PSVIov/hcCUCilKjt++DjWr1yHSTMmSyfJsR9iMWPSdAwdM0xt3YoykvY9TPP5d/Nbl2NsbIwtW7YgLi4OFy9exJw5c1CgQAGUK5d69+fQoUM4cOAApk2bBldXVwQFBWH27NmwtrbGTz/99H0V+kbf0t6+i+fhY1wcAm8HYsXi5bCzt0edBnUAAEWLF0XRz05Wi5Usjt+698XubX7oP2xARovMdTm5n//Iqlevjl9//VX6f/r06QCg9PARhUKR5QeStGjRAlWrVoWPj4/sjnTVqlVRo0YN/PXXX3jx4gWcnJzQvXt3vHnzBqdOncqB2qTv9MnTWLr404Ui7/HeAJS/4//fyJlSOgR8cVxIESlwdXVFh86pY1qdXZzx4vkLHPI/jJp1akKkpAAAylUsh2Ytmv1/HicE3QvCEf/DKg/kcrK94+LiMHLkSBgYGKBEiRLo2rUrXr16hTt3lO9c9+rVC46Ojhg3blwO1CJzudne506fw+mTpzF42CAUKOiAp0+eYs3KNTC3SH3oyaOHj7F/7wHM9J3xTb8fOS69IqSTJlJSEDT/JAr+XAaGdln7bX51PAhGDuYwccv6BR8i4D8WyAUGBsLZ2RnPnj1DkyZN0LdvX0yZMgUWFhY4c+YMevbsKfth/HKsxecHX0PD9AfwpklJSYGtrS1OnjypNM3s/69CjRw5EocOHcLs2bPh5uYGQ0NDtGnTBgkJCV+tS04ftJo3bw59fX3s2rUL+vr6iI+PR+vWmT/1zdvbG8OGDZOlec3onaPl+l9hamYKLW0tvHnzVpYe9fYtzL5ywnry6An4Tp+N8VMnoEz5T10JQ4JDUgf+j/r04y5SUvffhtXrY/XmtbArYJeDtfg6c3NzaGtrK919e/PmjdJdujTp3a178+YNdHR0ZFeBtbS0ULBgQQCp44WePHmCVatWSYHcvHnz0L17dzRq1AgA4O7ujtDQUKxevTrXA7nvaW9bu9Suc86uLnj75i3Wr1orBXJf0tLSQuEihRGcyRPycpMq9vMf2eXLl/HgwaeurWnjd8zNzWV3aUxNTREdHf3V5f3000/w8vLC5MmTpS7CaTp37gw/Pz/pDtzz589hbW0NLy8vlQZy5SqUkz1cKen/f0OjoqJkwXZ09DuYZXJByeyLuzGp80TLLkKZm5sr3Vm2dyiAC+cvAgBM8uaFtrY2HL7IU8DBHvfuZtzNL6fkZHsLIRAWlvrEwqdPn8Le3h6tWrVSCuR69OiBcuXKYcKECdKwDVXKzfZev2YDWrZugao1Uru/OzoVRMTr19i13Q+16tTCvbuBeBf9Dr/16ifNk5KSgrWr12H/3gNYtHzhd9U1q3TzGgBaCiR8cfctIToOuqbK54rJcYmIeRSBmCeReLTq/8f6CgEI4Ez7VSg+rhHMin/6bU6OT8Lrs49RsF3GT3Ymysh/JpA7fvw4bt26haFDhyIgIABJSUmYM2eO9AjbrVu3Zmt5JiYmcHJywrFjx1C7dm2l6WXKlEFYWBh0dHTg5OSU7jJOnz6Nbt26oVWr1MfNxsTE4OnTp0r5Lly4oPR/kSJFslXeNHp6ekhOTlZK19HRQdeuXbF69Wro6+ujffv2Up/7jOjr60vdRtOwW+W30dXVRaHChXD10hVUq/mp28jVy1dQpXrGY7iOHz6OOdNm4fdJY1GxqnwcWUHHgli2foUsbc2yVYiNjUt9wET+3L+yp6urCw8PD1y4cAF16nwKPi5cuIBatWqlO4+np6fSiej58+fh4eGR6YMthBCyiyIfP35UugCS1l0nt31re39JQCAxQXmcoDRdCDx68AjOrj/G4HhV7Oc/so8fP0on42nevn2LkiVL4smTJwBSj71FixbFhg0bMl3WTz/9hNatW2Pq1KlSr47P6evrK+3LKSkpKr9TYWhkKHsyoRACZuZmuHn9JpxdUve7xMQk3L1zF526dMxwOYUKF8LNG7ekO2kAcOP6TRQuUkj6v7BHYaXH64cGh0jdFHV1deDq5orgYHmekOBQWOVT/asHcrK9v6RQKJSOdz179kSFChUwceJEqbeQquVme8cnxEPxxWsGtLS0pAvqNWrVUHoS81SfP1CjVg3Urqt8XqYqWjrayONihaibwbCq4CSlR90MgWX5gkr5tQ31UHp2K1la6OFARN8ORZFhdWCQz0Q2LeL8Y6QkpSBfdTeVlJ/+2zQykIuPj0dYWJjs9QPTp09Hs2bN0KVLF9y6dQtJSUlYsGABmjdvjrNnz2LJkiXZXo+Pjw/69u2LfPnyoXHjxnj//j3Onj2LgQMHol69eqhcuTJatmyJGTNmoHDh1B+gAwcOoGXLlihXrhzc3Nywc+dONG/eHAqFAuPHj0/3pPLs2bOYOXMmWrZsiSNHjmDbtm3Yv39/OiX6OicnJ8TExODYsWPw9PSEkZGRFLD16tVLeipWbo+r+FYGevqws/g03s/G3BouNo54HxeD19Hpj7n6UbVu3wYzJv+JQh6F4FG8KA7s3o/wV+Fo1rI5AGDl4hWIeB2B0RNSx0seP3wcM6f8iX5D+sOjeFG8iUy9GquvrwfjPHmgp6+ndAJvbJL6GGR1nth36tQJ48aNQ9GiRVGyZEns3LkTYWFhaNMm9X1o8+fPR3h4OKZOnQoAaNOmDbZs2YLZs2fDy8sLN2/ehJ+fn9RtCQBWrlyJYsWKoUCBAkhMTMSZM2ewf/9+eHt7S3lq1KiBlStXwtbWFq6urrh37570BE11yG57797hh3z588HBMfXE4PaN29i2aRtatvlU/vUr16FIMQ8UcLDHhw+x8Nu2C48ePMTAEYNyvX4Zyen9HEgdz/zsSeodqsSkJES8jsDD+w9haGQI+wL26ZRCffbv3w8vLy/pgVNeXl6Ij4/H6dOnpTwDBw5EZGQkNm3aBCC1O2X79u0xb948vH79WurV8fHjR+kR9gEBAWjdujUiIiLw4sULODs7o1mzZjhx4kSu1k+hUKBp8ybYuX0XbGxtYWtng53bd0FfT182tmnB3L9hYWmBjl1Su0k2bd4EE36fCL8dfihfsTwuX7yMWzduYcr0T+PSm/3UFONGj8fObTtRuVoVPLz/EEcPH0Offp+6M/7U6ifMnT0XRYt5oFiJ4rh+9TquXL4Cnz98cm0bfO5b2rtVq1Z49OiRdDG4TJkyqFmzJpYvXy7N06tXL1SvXh0zZszAx48fpX0iNjY2S716cooq27ts+bLYuW0nrKyt4OBQAE8eP8Xe3ftQp15qkGaS1wQmeeVBj46ODszNzWCfy71N7JsVx/0Fp5DHxRp5C+VD2NF7iI+IgU391IvuTzddRvybWBQeUBMKLQWMC8p7oOjmNYSWrrZSOpD6kBPL8gWha2KQK3Wh/xaNDOT8/f1ha2v7/19oc3h6emL+/Pno2rUrtLS0UKpUKfj6+mLGjBnw9vZGjRo1MH36dHTp0iVb6+natSs+fvyIuXPnYsSIEbCyspJORhUKBQ4cOICxY8eiR48eeP36NWxsbFCjRg3kz5/6rqS5c+eiR48eqFKlCqysrDB69Gi8e/dOaT3Dhw/HlStXMGnSJJiYmGDOnDlo2PDbXgZZpUoV9O3bF+3atUNkZCQmTpwIHx8fAKldzapUqYLIyEhUrFjxm5af2wrZuWB29/HS/30bdQYAHL52CrP9lqqrWN+kVr3aeBf9DhtWrcebyDdwcnHCH7OnI79t6v4SGRmJ8Fefrrru370PycnJWDBnPhbMmS+l12/SAKPGjc718mdVw4YNER0djWXLliEiIgJubm5YsGAB7OxSf3gjIiJkV7Xt7e2xYMECzJkzB1u3boW1tTVGjRolvUMOSD2hnTZtmvRwIScnJ0ydOlX2PRk9ejQWLVqEadOm4e3bt7C2tkabNm1kY1pyU3bbW6QIrFq8EmGhYdDS1oadvS16/dZL9g65mJgYzJvhi7dv3sLY2Biuhdzgu2guihT9tjv4qqCK/TwyIhK/desjTdu2aSu2bdqKkqU9MWehby7VLGv8/Pygp6eH3r17w9jYGA8ePMCUKVNk7xSzsrKSXdRr2LAhdHV1MXLkSNmytm7dKvUmWblyJdq3b4/evXsjb968ePv2LY4cOYLt27fnTsU+08KrBRISErBi6Qp8iPkAt0JuGDdprOxOTkREBBRan+4WFvYojCEjhmDLxi3Ysukf2NjYYOjIIdI7xQDAzd0NI71HYOP6Tdj+zw7ky58P3Xp1RfVanx4AUbFyBfz6W2/s2u6HVctXw87eDiPGDIeHmr4D39Le+vr66N27NywsLJCQkICQkBDMnz8f586dk/KkdRH//AFsAPD333+nO6RDlVTV3j1798CWTf9gxZIViI6OhoWFBeo3rI827drkav2ywrqKC5Lef8SLHdeQ8DYWRg7mKObdAAbWqYFmwts4xEdk/4micSHReHfvFYqNa5TTRab/EQqR1RHYpPGEEChSpAj69OmjNPYtqxpMzP0XK/8IVgyaqe4iqIWV4Y/1jrLcEhGn+rEo9OMY1meIuougFhOmjv96pv+gyeOmqLsIavG/2t5/xR9SdxHUYqXnqK9nUhN1nUsenrRJLetVJY28I0fZFx4ejvXr1yM4OBjdu3dXd3GIiIiIiOg7MJD7H5E/f35YWVlh2bJl0rtviIiIiIhIMzGQ+x/BHrRERERERP8dX3/dPBEREREREf1QGMgRERERERFpGAZyREREREREGoaBHBERERERkYZhIEdERERERKRhGMgRERERERFpGAZyREREREREGoaBHBERERERkYZhIEdERERERKRhGMgRERERERFpGAZyREREREREGoaBHBERERERkYZhIEdERERERKRhGMgRERERERFpGAZyREREREREGoaBHBERERERkYZhIEdERERERKRhGMgRERERERFpGAZyREREREREGoaBHBERERERkYZhIEdERERERKRhGMgRERERERFpGB11F4A0y4pBM9VdBLXoNX+UuougFn6jV6i7CGpR7cpQdRdBLe5VW6vuIqjF8ePH1V0EtVhXcJ26i0C5yMzaUt1FUI+X6i4AkerwjhwREREREZGGYSBHRERERESkYRjIERERERERaRgGckRERERERBqGgRwREREREZGGYSBHRERERESkYRjIERERERERaRgGckRERERERBqGgRwREREREdEXFi1aBGdnZxgYGKBs2bI4ffp0pvk3btwIT09PGBkZwdbWFt27d0dkZKTKysdAjoiIiIiI6DP//PMPhgwZgrFjx+LatWuoXr06GjdujOfPn6eb/8yZM+jSpQt69uyJO3fuYNu2bbh8+TJ69eqlsjIykCMiIiIiov+0+Ph4vHv3TvaJj4/PML+vry969uyJXr16wcPDA/PmzYODgwMWL16cbv4LFy7AyckJgwYNgrOzM6pVq4Y+ffogICBAVVViIEdERERERP9t06dPh6mpqewzffr0dPMmJCTgypUraNCggSy9QYMGOHfuXLrzVKlSBS9fvsSBAwcghMCrV6+wfft2NG3aNMfrkkZHZUsmIiIiIiL6AXh7e2PYsGGyNH19/XTzRkREIDk5Gfnz55el58+fH2FhYenOU6VKFWzcuBHt2rXDx48fkZSUhJ9++gkLFizImQqkg3fkiIiIiIjoP01fXx958+aVfTIK5NIoFArZ/0IIpbQ0d+/exaBBgzBhwgRcuXIF/v7+ePLkCfr27ZtjdfgS78gREREREVGuuFc1Ud1F+CorKytoa2sr3X0LDw9XukuXZvr06ahatSpGjhwJAChZsiSMjY1RvXp1TJ06Fba2tjleTt6RIyIiIiIi+n96enooW7Ysjhw5Iks/cuQIqlSpku48sbGx0NKSh1ba2toAUu/kqQIDOSIiIiIios8MGzYMK1aswKpVqxAYGIihQ4fi+fPnUldJb29vdOnSRcrfvHlz7Ny5E4sXL8bjx49x9uxZDBo0CBUqVICdnZ1KysiulURERERERJ9p164dIiMjMXnyZISGhqJ48eI4cOAAHB0dAQChoaGyd8p169YN79+/x99//43hw4fDzMwMderUwYwZM1RWRgZyREREREREX+jXrx/69euX7rQ1a9YopQ0cOBADBw5Ucak+YddKIiIiIiIiDcNAjoiIiIiISMMwkCMiIiIiItIwDOSIiIiIiIg0DAM5IiIiIiIiDcOnVuagbt26Ye3atUrpDRs2hL+/vxpK9OPas2M3tm3aisjISDg5O+G3wf1QolTJdPOePnka+3btwaMHj5CYkAhHZ0d07tkV5SuVTzf/iSPHMW3iH6hSvQomzZiiymqoTAnHIvi5ajO42zrDMq85fDb74ty9AHUX65tt3boVa9euRUREBFxdXTFixAiUKVMmw/wBAQHw9fXFo0ePYG1tja5du+Lnn3+Wph87dgwrV67EixcvkJSUhIIFC6Jz585o1qxZblQnyzo7NEAfpxbIp2eGBx9eYtK91bgUdS/dvHOK9cfP9rWU0u/HvEC9c8OU0pvbVMHCkkNxKPwSel+fldNFz5acbl8A0iOcjx8/jnfv3sHe3h5Dhw5F9erVAQBLlizB0qVLZfNYWlri6NGjOV/BbBo9ejS6dOkCMzMzXLlyBaNGjcK9e+m3e5q8efNi3LhxaNasGczMzPD8+XOMGzdOVh9bW1tMnDgR9erVg4GBAR49eoRBgwbhxo0bqq5SprLT/q9fv4avry8CAwPx/Plz/PLLLxg5cqRSvq+1/4+kbdu2qFevHoyNjfHw4UMsX74cL1++zDB/xYoV4eXlBRsbG2hrayM0NBR79+7Fv//+K+Xx8PBAixYt4OLiAgsLC8yYMQOXL1/Ojep8VXZ+vyMjIrF0wRI8CLqP4BfBaPlzK/Qb0l+WZ3j/Ybh5TXkfrlC5Iv6YM00ldfgWoYfu4uWeW0iIioNRATO4dKsEUw+bdPNG3wvD042XERccjZT4JOhb54FNvSKwb1ZcypOSlIKXfjcQfuoB4t/EwtDOFM4dy8O8VIHcqhL9BzCQy2GNGjXC6tWrZWn6+voqW19CQgL09PRUtnxVOHn0BBb/tQgDRwxCsZLFsd9vH34f7o2VG1chn01+pfy3rt9EmfJl0aNPTxib5MGh/f6YMGocFiz/G26F3WV5X4W+wrK/l6KEZ4ncqo5KGOjq43HYMxy6dgoT2w9Vd3G+y6FDhzBr1ix4e3ujVKlS2LFjBwYMGIAdO3bA1tZWKX9wcDAGDhwILy8vTJ06FdevX8f06dNhbm6OevXqAQBMTU3Rq1cvODk5QVdXF6dPn4aPjw8sLCxQpUqV3K5iuprnr4KJhbtjXOByBEQFoWOB+lhbZizqnhuKkI8RSvl9glbjzwcbpf+1FVo4VHk29r86r5TX3sAK4wp1wcW3d1Vah6xQRfsmJiaib9++sLCwwKxZs5AvXz68evUKRkZGsmW5urpiyZIl0v9aWurvZDJo0CD069cP/fv3x6NHjzB8+HDs2LEDFStWRExMTLrz6OrqYufOnYiIiED37t0RHBwMe3t7WX5TU1McPHgQZ86cQdu2bfH69Ws4OzsjOjo6t6qWruy2f2JiIszNzdGzZ09s3LgxnSVmvf1/BC1btkSzZs2wcOFChISEoE2bNpgwYQIGDRqEjx8/pjtPTEwMduzYgeDgYCQlJaFs2bLo378/oqOjpaDcwMAAT58+xYkTJ9INdNUlu7/fiYmJMDUzRYeuHbFjy450lzlxug+SEpOk/99Fv0Ofrr1Ro04NldUju16fe4zHay7CtVcV5C2cH2FH7+HOtEMoM7c1DKzyKOXX1teBXcOiMHK0gLa+Dt7de4WHy89C20AHNvWKAACebQnA69OP4NanGozsTfH2RjACZx1FyanNkMfZKrerSBpK/b96/zH6+vqwsbGRfczNzQEACoUCK1asQKtWrWBkZAR3d3fs2bNHNv/du3fRpEkT5MmTB/nz50fnzp0REfHppK9WrVoYMGAAhg0bBisrK9SvXx8AsGfPHri7u8PQ0BC1a9fG2rVroVAoEBUVhQ8fPiBv3rzYvn27bF179+6FsbEx3r9/r+KtIrdjy3Y0at4YTX5qCkcnR/Qb0h/W+fJh76696ebvN6Q/2nVqj8JFi6CAQwH07NsL9g72OH9WfoKbnJyM6ZOmoUuvrrCxVz6B0CSXH97AmuPbcDbwx7gC+z02bNiAli1bwsvLCy4uLhg5ciRsbGywbdu2dPNv374dtra2GDlyJFxcXODl5YUWLVpg3bp1Up5y5cqhTp06cHFxgYODAzp06AB3d3dcu3Ytt6r1Vb2cmuGf4OPYEnwcDz8EY1LQGoR8jEDnAg3Szf8+KRavE6KkT8m8rjDVNcbW4BOyfFrQwvwSg+H7aCuex4bnRlUypYr29fPzw7t37+Dr64tSpUrBzs4OpUuXRuHChWXL0tbWhpWVlfSxsLBQaV2zom/fvpgzZw727duHwMBA9OvXD0ZGRmjdunWG83Ts2BHm5ubo1KkTLl68iJcvX+LixYu4c+eOlGfw4MEIDg7GgAEDcPXqVbx48QL//vsvnj59mgu1ylh229/Ozg6jRo1C8+bNkSeP8gkwkPX2/xE0bdoUO3fuxMWLF/HixQssWLAA+vr6md45vHPnDi5duoTg4GC8evUKBw4cwLNnz+Dh4SHluXbtGrZs2YKLFy/mRjWyLLu/3za2Nug/dADqN24A4zzG6ebJmzcvLCwtpM/Vy1dgoG+AGnVqqrIq2RK87zby1ykEm7qFpbtx+lbGCDscmG7+PM5WsK7mCmMHcxjkM0G+Gm4w97RHdGCYlOf16Uco0MoTFmUcYJA/L2wbeMDM0x7Be2/nVrXoP4CBXC6bNGkS2rZti5s3b6JJkybo2LEj3rx5AyD1DfE1a9ZEqVKlEBAQAH9/f7x69Qpt27aVLWPt2rXQ0dHB2bNnsXTpUjx9+hRt2rRBy5Ytcf36dfTp0wdjx46V8hsbG6N9+/ZKdwpXr16NNm3awMTERPUV/3+JiYm4H3QfZSuUk6WXrVAWd27dyWAuuZSUFMTGxsEkb15Z+obV62FmZorGzZvkWHnp+yQmJiIwMBCVK1eWpVeqVCnD7mA3btxApUqVZGlVqlRBYGAgEhMTlfILIXDx4kU8ffoUZcuWzbnCfwddhQ5KmLjg30h5HU9H3kRZs6ydjLYvUAdnIm8h+Iu7d0Nc2yAy4R3+CT6eY+X9Vqpq31OnTqFkyZL4888/UbduXbRp0wYrV65EcnKybL7nz5+jfv36aNq0KUaPHp1pd7bc4OjoCBsbG5w48Sn4TkhIwNmzZ1GhQoUM52vcuDEuX76MWbNm4d69ezh79iyGDh0qu8PYuHFjXL9+HatXr0ZQUBBOnjyJLl26qLQ+X/Mt7Z8VWW1/dcuXLx/Mzc1ldU1KSsLdu3ezFXSWKFECdnZ2uHtX/XfYM5MTv99ZcXDvQdSqVxuGhoY5tszvkZKUjJjHETDztJelm5W0x7ugrF1Mi3kSgXdB4TAt+ukic0piMrT0tGX5tPR08C7o1fcXmv5nsGtlDtu3b5/SVcbRo0dj/PjxAFLH0f3yyy8AgGnTpmHBggW4dOkSGjVqhMWLF6NMmTKYNu1Tn/BVq1bBwcEB9+/fR6FChQAAbm5umDlzppRnzJgxKFy4MGbNSh0nU7hwYdy+fRt//PGHlKdXr16oUqUKQkJCYGdnh4iICOzbtw9HjhxRzYbIQHRUNFKSU2BuYS5LN7cwx9v/D2i/ZvvmbfgYF4ean12tu33zNvz3HsSStctytLz0fd6+fYvk5GSlOyWWlpaIjIxMd57IyEhYWlrK0iwsLJCUlISoqChYW1sDSB1D07BhQyQmJkJLSwve3t5KAYK6WOiZQEdLGxHxUbL01wlRsNY3++r8+fTMUMuyNAbd+kuWXs6sMNrZ10Gj8z9GVytVtW9wcDAuX76Mxo0bY8GCBXj+/Dn+/PNPJCUloU+fPgCA4sWLY8qUKXB0dERkZCRWrFiBbt26Yfv27TAzM1NJfb8mf/7UrmWvX7+Wpb9+/RoODg4Zzufo6Ijq1atj+/btaNeuHVxdXTFz5kzo6OhIx3VHR0d0794dixYtgq+vL8qUKYPp06cjPj4e//zzj+oqlYlvaf+syEr7/wjSettERUXJ0j8/TmXEyMgIS5cuha6uLlJSUrBixQrcvHlTVUXNETnx+/019+7ew9PHTzD89xE5sryckPjuI5AioGcqDyz1TA0RFRWX6byX+m5G4ruPEMkCBX8uDZu6nwJ8c097hOy7DVMPGxjkz4uo2yF4E/AMIkWopB7038RALofVrl0bixcvlqV9/iNXsuSnAcHGxsYwMTFBeHjqFZ0rV67gxIkT6XY3efTokRTIlSsnvxoWFBSE8uXlD/748upvhQoVUKxYMaxbtw5jxozB+vXrUbBgQdSokXEf9Pj4eMTHxyul5cSYP8UX/wsBKJRSlR0/fBzrV67DpBmTpR+T2A+xmDFpOoaOGQZTM9PvLhvlPIVC3rZCCKW07C7H2NgYW7ZsQVxcHC5evIg5c+agQIECSt8Pdfry51gBBYRSqrKf7WvhXdIHHAr/1LXWWNsA80oMwui7S/A2MXe7Q39NTrdvSkoKLCwsMH78eGhra6No0aJ4/fo11q1bJ53IV6tWTZrP3d0dnp6eaN68Ofbu3YvOnTt/R22yrk2bNvD19ZX+b9++PYDU+n9OoVAopX1OS0sLERERGDJkCFJSUnDjxg3Y2NhgwIABUiCnpaWF69evY+rUqQCAW7duoUiRIujRo4faArk0OdX+abLS/upQvXp1/Prrr9L/06dPB5D99gaAuLg4jBw5EgYGBihRogS6du2KV69eybrT/qi+9fc7K/z3HoCTizOKFC2SI8vLUelV8SvVLjm5GZI/JuL9/XA83RQAQ5u8sK7mCgBw6V4JD5acwZUhOwAFYJg/L/LXKoRXJ+/nfNnpP4uBXA4zNjaGm5tbhtN1dXVl/ysUCqSkpABI/fFq3rw5ZsyYoTTf54PGjY3l/czT+9FM70ekV69e+PvvvzFmzBisXr0a3bt3z/THdvr06Zg0aZIsbcjIoRg6WvkJelllamYKLW0tvHnzVpYe9fYtzL64yvelk0dPwHf6bIyfOgFlyn/qQhcSHIKw0DCMHzVOSku7otWwen2s3rwWdgXsvrnM9O3Mzc2hra2tdHX+zZs3GY5nSu9q/ps3b6CjowNT00+BupaWFgoWLAgg9S70kydPsGrVqh8ikHuT8B5JKclKd9+s9EwREf/1h1O0tauDnaH/IlF8egCAo5ENChrmw6pSY6Q0rf///j6utwW1zw7Gs7jc7ZKjqva1srKCjo4OtLU/dTtydnZGREQEEhMTlY6jAGBoaAg3Nzc8f/78e6uVZf7+/rhy5Yr0f9pFrrSHc6SxsrKSLtil59WrV0hMTJR+CwDg/v37sLGxga6uLhITE/Hq1SsEBQXJ5rt//z6aN2+eU9XJtm9p/6z4lvbPDZcvX8aDBw+k/3V0Uk+hzM3NZXflTE1Nv/oQGiEEwsJSx0s9ffoU9vb2aNWq1Q8dyH3P73dWfPz4ESeOnkTXXl2/e1k5STevAaClQMIXd98SouOga5p590+DfKlDV4wLWiAhOg7Pt12TAjndvIYoOqo+UhKSkBgTDz1zIzzdeFmahygrOEbuB1KmTBncuXMHTk5OcHNzk32+DN4+V6RIEaXHEgcEKD+qvlOnTnj+/Dnmz5+PO3fuoGvXzA+W3t7eiI6Oln2+fGxwdunq6qJQ4UK4eumKLP3q5SsoVqJYhvMdP3wcs6bOhLfP76hYVd59rqBjQSxbvwJL1iyTPpWrVYZnmVJYsmYZrPNn3sWFVEdXVxceHh64cOGCLP3ChQvw9PRMdx5PT0+l/OfPn4eHh0emJ3BCCCQkJHx/oXNAokjCrfePUd1S/kju6pYlcSUqKIO5UlUyLwpnY1ts+WIM3KMPwah3bhgaXRgpfY68DsD5N3fQ6MJIhHz89q5s30pV7VuqVCm8ePFCFtg8f/4cVlZWGe4DCQkJePLkCayscu9pbzExMXjy5In0uXfvHsLCwlCrVi0pj66uLqpWrYpLly5luJyLFy/CxcVFdmHN1dUVoaGh0rjBixcvKl0kdHNzU+u4wG9p/6z4lvbPDR8/fkRYWJj0efnyJd6+fSvraaOjo4OiRYsqBd1fo1Ao1Fq3rPjW3++sOnXsJBITE1CvUb3vXlZO0tLRRh4XK0TdDJalR90MQd7C+bK+IJE63k5p+Xo60LcwhkgWiLz4FBblHL+3yPQ/hIFcDouPj5cd6MPCwmRPncxM//798ebNG/zyyy+4dOkSHj9+jMOHD6NHjx6ZDvLu06cP7t27h9GjR+P+/fvYunUr1qxZA0De5cXc3BxeXl4YOXIkGjRogAIFMn9Xib6+PvLmzSv75ES3ytbt2+Dg3gPw33cQz54+w+K/FiH8VTiatUy9srxy8QrMmPynlP/44eOYOeVP9BnYFx7Fi+JN5Bu8iXyDD///aG49fT04uzrLPsYmeWBkZAhnV+cf/scxPQZ6+nCxcYSLTeoB3cbcGi42jrA2tfzKnD+eTp06YdeuXfDz88Pjx48xe/ZshIWFoU2bNgCA+fPnY9y4T3dT27Rpg9DQUMyePRuPHz+Gn58f/Pz8ZA92WLlyJS5cuICXL1/iyZMnWL9+Pfbv348mTX6cB92seLoP7e3roq1dbbgZ22NC4a6wM7DChpeHAQCj3TpgbvEBSvO1t6+Lq1H3cT/mhSw9PiUR92NeyD7vEmMRkxyH+zEvZHfvcpMq2vfnn39GdHQ0Zs6ciWfPnuH06dNYuXIl2rVrJ+Xx9fVFQEAAgoODcevWLYwcORIfPnxQ6x0qIPX9dsOGDUPTpk3h4eGBhQsXIjY2Fjt2fHr0+qJFi6Rx00Dqg6fMzc0xffp0uLq6on79+hg6dChWrlwp5Vm8eDHKlSuHoUOHwtnZGa1bt0aXLl2wYsWKXK3fl7Lb/kDqcICgoCDExsbi7du3CAoKwqNHj6TpWWn/H8X+/fvh5eWFChUqwMHBAf3790d8fDxOnz4t5Rk4cCA6dOgg/d+qVSuULFkS+fLlg52dHZo1a4aaNWvK3iNnYGAAJycnODk5AUgdf+nk5JSrFyrSk93fbwB4eP8hHt5/iLi4OERHRePh/Yd49uSp0rL99x1E1epVkdf0xxsiYd+sOF4du4+w4/cR+zIKj9dcQHxEDGzqp3YBfbrpMoL+PiXlD/G/i8iA54gLjUZcaDRenbiP4L23kK+6q5Tn/YNwRFx8io+v3iE6MAx3pvlDCKBAC81+fRLlLnatzGH+/v5K784pXLjwV18GC6Q+lvns2bMYPXo0GjZsiPj4eDg6OqJRo0aZvh/J2dkZ27dvx/Dhw/HXX3+hcuXKGDt2LH777TelwKtnz57YtGkTevTo8W0VzAG16tXGu+h32LBqPd5EvoGTixP+mD0d+W1THxQQGRmJ8FefuiHt370PycnJWDBnPhbMmS+l12/SAKPGjc718ueGQnYumN3904le30apY34OXzuF2X5LM5rth9SwYUNER0dj2bJliIiIgJubGxYsWAA7u9TurhEREVIXIwCwt7fHggULMGfOHGzduhXW1tYYNWqU9I4xIPXK+LRp0xAeHg59fX04OTlh6tSpaNiwYa7XLyN7X52DmV4eDHZtg3z65rgf8wJdr02TnkKZT98cdgbykzITHSM0zl8RPvdWp7fIH5Iq2tfGxgaLFi3CnDlz0LZtW+TLlw8dOnRAt27dpDyvXr2Ct7c3oqKiYG5ujhIlSmDt2rXSetVl/vz5MDQ0xKxZs6QXgrdp00b2TrgCBQrI7jYFBwejTZs2+OOPP3D69GmEhoZi6dKl+OuvTw+7uXbtGjp37owJEyZg5MiReP78OcaOHav0Wpnclt32Bz6NJQSAwMBAHDx4ELa2tjhw4ACArLX/j8LPzw96enro3bs3jI2N8eDBA0yZMkX2DjkrKytZe+vr66N3796wsLBAQkICQkJCMH/+fJw7d07K4+rqKhvakFb3EydOYOHChaqvWAay+/sNAL91+zSu8cG9+zh++Bjy2+THhp2bpPSXz1/g9o3b+HOe8tCSH4F1FRckvf+IFzuuIeFtLIwczFHMuwEMrFO7QSa8jUN8xGfviRQCzzZfxsfwGCi0FDCwyQunjuWld8gBqU+tfLblCj6Gv4e2gQ7MSzug0ICa0DFW3buH6b9HIb42Ipc00h9//IElS5bgxQv5Vf2NGzdi8ODBCAkJ+aYXiT+PVO/jvdWl1/xR6i6CWviNVu/VfnUpcubHGqORW+5VW6vuIqjF13on/Fep+3UN6qLu1zaoi+/SeeouglpMernp65n+g1Z6/rjnLQUP/6yW9T5vkP77LTUZ78j9RyxatAjly5eHpaUlzp49i1mzZmHAgE/dtmJjY/HkyRNMnz4dffr0+aYgjoiIiIiIfgwcI/cf8eDBA7Ro0QJFixbFlClTMHz4cPj4+EjTZ86ciVKlSiF//vzw9vZWX0GJiIiIiOi78Y7cf8TcuXMxd+7cDKf7+PjIAjsiIiIiItJcvCNHRERERESkYRjIERERERERaRgGckRERERERBqGgRwREREREZGGYSBHRERERESkYRjIERERERERaRgGckRERERERBqGgRwREREREZGGYSBHRERERESkYRjIERERERERaRgGckRERERERBqGgRwREREREZGGYSBHRERERESkYRjIERERERERaRgGckRERERERBqGgRwREREREZGGYSBHRERERESkYRjIERERERERaRgGckRERERERBqGgRwREREREZGGYSBHRERERESkYRjIERERERERaRiFEEKouxCkOWJjY9VdBMpFLWf0UncR1MJv9Ap1F4GIiOibGRkZqbsIGSp4+Ge1rPd5g21qWa8q8Y4cERERERGRhmEgR0REREREpGEYyBEREREREWkYBnJEREREREQahoEcERERERGRhmEgR0REREREpGEYyBEREREREWkYBnJEREREREQahoEcERERERGRhmEgR0REREREpGEYyBEREREREWkYBnJEREREREQahoEcERERERGRhmEgR0REREREpGEYyBEREREREWkYBnJEREREREQahoEcERERERGRhmEgR0REREREpGEYyBEREREREWkYBnJEREREREQahoEcERERERGRhmEgR0RERERE9IVFixbB2dkZBgYGKFu2LE6fPp1p/vj4eIwdOxaOjo7Q19eHq6srVq1apbLy6ahsyURERERERBron3/+wZAhQ7Bo0SJUrVoVS5cuRePGjXH37l0ULFgw3Xnatm2LV69eYeXKlXBzc0N4eDiSkpJUVkYGckRERERERJ/x9fVFz5490atXLwDAvHnzcOjQISxevBjTp09Xyu/v749Tp07h8ePHsLCwAAA4OTmptIzsWklERERERP9p8fHxePfunewTHx+fbt6EhARcuXIFDRo0kKU3aNAA586dS3eePXv2oFy5cpg5cybs7e1RqFAhjBgxAnFxcTlelzQM5DREt27d0LJlS1na9u3bYWBggJkzZ6qnUNmwdetWNG3aFBUrVkSHDh1w9erVTPMHBASgQ4cOqFixIpo1a4Zt27bJph87dgwdOnRA9erVUblyZbRr1w779u2T5UlKSsLChQvRtGlTVKpUCc2aNcPSpUuRkpKS4/XLKnVsB01SwrEIJncYgc3DF+LwpE2oUqScuouULTndvjt37kSPHj1Qo0YN1KhRA3369MHt27dleZYsWYLSpUvLPvXq1cvxumWHOraDOgghsGTJEtSvXx+VKlVCr1698OjRo6/Od/ToUXh5eaFChQrw8vLC8ePHZdO3bt2Ktm3bolq1aqhWrRq6dOmCM2fOyPIcO3YM/fr1Q+3atVG6dGkEBQXlaN0+L0tOtiXw9fpfuXIFgwcPRv369VG6dGmcOHFCaRmRkZGYMGEC6tevj8qVK6N///549uyZRtUzK+v98rud9lm7dq2Up1evXkrTR48e/Y1bQpmq9vOstHNu7efpUcU+kcbf3x+lS5fG0KFDldb5te8+fbvp06fD1NRU9knvzhoAREREIDk5Gfnz55el58+fH2FhYenO8/jxY5w5cwa3b9/Grl27MG/ePGzfvh39+/fP8bqkYSCnoVasWIGOHTvi77//xqhRo9RdnEwdOnQIs2bNQs+ePbF582aULl0aAwYMQGhoaLr5g4ODMXDgQJQuXRqbN29Gjx49MHPmTBw9elTKY2pqil69emHt2rXYunUrWrRoAR8fH9lVkjVr1mD79u0YM2YMdu7cicGDB2PdunXYsmWLyuucHnVtB01ioKuPx2HP8PeBNeouSrapon0DAgLQqFEjLF++HGvXroWtrS1+++03hIeHy5bl6uqKI0eOSJ+tW7eqtK6ZUed2yG1r1qzBhg0bMGbMGGzYsAGWlpbo27cvPnz4kOE8N27cwJgxY9C0aVP8888/aNq0KUaPHo1bt25JefLnz4+BAwdi48aN2LhxIypUqIChQ4fKTp7j4uLg6emJgQMHqqx+qmjLrNQ/Li4OhQoVwpgxY9JdjxACQ4cOxcuXLzFv3jxs3rwZtra26Nu37zdd+VZXPbOy3s+/10eOHIGPjw8UCgXq1q0rK5OXl5cs37hx47K9HTKiqv38a+2clkfV+3l6VLFPpAkJCcHcuXNRunRppWlZ+e7Tt/P29kZ0dLTs4+3tnek8CoVC9r8QQiktTUpKChQKhdR2TZo0ga+vL9asWaOyu3IM5DTQzJkzMWDAAGzatEnqt3vu3DnUqFEDhoaGcHBwwKBBg6SD7OTJk1GiRAml5ZQtWxYTJkxQeXk3bNiAli1bwsvLCy4uLhg5ciRsbGwyvFq1fft22NraYuTIkXBxcYGXlxdatGiBdevWSXnKlSuHOnXqwMXFBQ4ODujQoQPc3d1x7do1Kc/NmzdRs2ZNVK9eHXZ2dtLVxLt376q8zulR13bQJJcf3sCa49twNvCyuouSbapo32nTpqFt27YoXLgwnJ2dMX78eAghcPHiRdmytLW1YWVlJX3S+uargzq3Q24SQmDTpk3o2bMn6tatCzc3N0yZMgUfP37EwYMHM5xv06ZNqFixInr27AlnZ2f07NkTFSpUwMaNG6U8acctR0dHODo6YsCAATAyMsLNmzelPM2aNUOfPn1QqVIlldVRFW2ZlfpXq1YN/fv3VwpW0jx//hy3bt3C2LFjUaxYMTg5OcHb2xtxcXGZbvsfrZ5ZWe/n32srKyucPHkS5cuXR4ECBWRlMjAwkOUzMTHJ9nZIjyr386+1M5A7+3l6VLFPAEBycjLGjh2Lvn37KrUhkLXvPn07fX195M2bV/bR19dPN6+VlRW0tbWV7r6Fh4cr3aVLY2trC3t7e5iamkppHh4eEELg5cuXOVeRzzCQ0zBjxozBlClTsG/fPrRu3RoAcOvWLTRs2BBeXl64efMm/vnnH5w5cwYDBgwAAPTo0QN3797F5cufTo5v3ryJa9euoVu3biotb2JiIgIDA1G5cmVZeqVKlXDjxo1057lx44bSQbtKlSoIDAxEYmKiUv60E7qnT5+ibNmyUnqpUqVw6dIlqbtNUFAQrl+/jqpVq35vtbJNnduBVC832hcAPn78iKSkJNmPBJB6Ylu/fn3pqreqfjC+Rt3bITcFBwcjIiJCVlc9PT2ULVs2w7oCqcfeL7dP5cqVM5wnOTkZ/v7+iIuLQ8mSJXOm8FmgqrbMbv3Tk5CQACB1e6fR1taGrq4url+/nuXlAOqr57esNzIyEmfOnFEaZgEABw4cQO3atdG6dWv4+vpmercsO3JrP/+RqPI4tmzZMpibm6NVq1ZfLYe6vvuUKm0/P3LkiCz9yJEjqFKlSrrzVK1aFSEhIYiJiZHS7t+/Dy0trXQD95zAp1ZqkIMHD2L37t04duwY6tSpI6XPmjULHTp0wJAhQwAA7u7umD9/PmrWrInFixejQIECaNiwIVavXo3y5csDAFavXo2aNWvCxcUlw/XFx8crDQJNTk7O8OpFet6+fYvk5GSlOwSWlpaIjIxMd57IyEhYWlrK0iwsLJCUlISoqChYW1sDAN6/f4+GDRsiMTERWlpa8Pb2lh1Iu3fvjpiYGLRq1Qra2tpITk5G//790bhx4yyXP6eoczuQ6qmyfT83f/585MuXDxUrVpTSihcvjilTpsDR0RGRkZFYsWIFunXrhu3bt8PMzOz7K5cN6twOuS0iIgIA0q1rRt2v0ub7sr7pbZ8HDx6ga9euSEhIgKGhIebMmQNXV9ccKv3Xqaots1r/zDg5OcHW1hYLFizAuHHjYGhoiPXr1yMiIkJql6xSVz2/Zb179+6FkZGR7PcfAJo0aQI7OztYWVnh4cOHWLBgAe7fv48lS5Z8fQN8har38x+RqvaJ69evw8/P76vDO9T93adPhg0bhs6dO6NcuXKoXLkyli1bhufPn6Nv374AUrtqBgcHS3deO3TogClTpqB79+6YNGkSIiIiMHLkSPTo0QOGhoYqKSMDOQ1SsmRJREREYMKECShfvrzUdeLKlSt4+PChrMuCEAIpKSl48uQJPDw80Lt3b/To0QO+vr7Q1tbGxo0bMWfOnEzXN336dEyaNEmW9vvvv2Ps2LHZLnt2+hhndTnGxsbYsmUL4uLicPHiRcyZMwcFChRAuXKpD8g4dOgQDhw4gGnTpsHV1RVBQUGYPXs2rK2t8dNPP2V73TlBHduBco8q2jfNmjVr4O/vj+XLl8suplSrVk36293dHZ6enmjevDn27t2Lzp07Z3vdOUEd20HVDhw4gKlTp0r/z58/P90yfktd05vHyckJW7Zswfv373Hs2DFMmDABK1asyPUTOlW25bcuU1dXF7Nnz8akSZNQs2ZNaGtro2LFit/V20Jd9czOenfv3o3GjRsr7fdeXl7S325ubihYsCA6duyIwMBAeHh4ZKv8ub2f/8hycp/48OEDxo4di/Hjx8Pc3DzT/D/Kd1+V6ucvr+4iZEm7du0QGRmJyZMnIzQ0FMWLF8eBAwfg6OgIAAgNDcXz58+l/Hny5MGRI0cwcOBAlCtXDpaWlmjbtq3sO5XTGMhpEHt7e+zYsQO1a9dGo0aN4O/vDxMTE6SkpKBPnz4YNGiQ0jxpLyxs3rw59PX1sWvXLujr6yM+Pl7qmpkRb29vDBs2TJaWnJycrTKbm5tDW1tb6SrWmzdvMhzHk95Vrzdv3kBHR0fWlUpLS0uqX+HChfHkyROsWrVKCmDmzZuH7t27o1GjRgBST3JDQ0OxevXqXA/k1LkdSPVU2b4AsG7dOqxcuRJLlixBoUKFMi2LoaEh3NzcZD8uueVH2g45rWbNmihevLj0f1p3qcjISNldw8zqCqSOu8jK9tHV1ZW+18WKFcOdO3ewefPmHH2IRWZU1ZZZrf/XFC1aFP/88w/ev3+PxMREWFhYoHPnzihatGi2lqOuemZ3vVevXsXTp0/x559/frVOHh4e0NHRwfPnz7MdyOX2fv4jUsU+8fjxY4SEhEg9pwBIT9AuV64cdu3aBQcHBwDq/+6TXL9+/dCvX790p61Zs0YprUiRIkrdMVWJY+Q0TMGCBXHq1CmEh4ejQYMGePfuHcqUKYM7d+7Azc1N6ZM2hkBHRwddu3bF6tWrsXr1arRv3x5GRkaZris7g0IzoqurCw8PD1y4cEGWfuHCBXh6eqY7j6enp1L+8+fPw8PDA7q6uhmuSwghjZ0AUsfRfHn1TEtLSy2vH1DndiDVU2X7rl27FsuXL8fChQtRrFixr5YlISEBT548gZWV1TfU5Pv8SNshpxkbG6NgwYLSx8XFBVZWVrKyJyYm4sqVKxnWFUjtWZFefTObJ01ufq9V1ZbfU//0mJiYwMLCAs+ePcPdu3dRq1atbM2vrnpmd71+fn7w8PBA4cKFv1qnR48eISkp6ZuOAT/Cfq5uqtgnnJycsG3bNmzZskX61KxZE+XLl8eWLVtgY2OTaZn4m04ZYSCngQoUKICTJ08iMjISDRo0wKhRo3D+/Hn0798f169fx4MHD7Bnzx6lx/X26tULx48fx8GDB9GjR49cK2+nTp2wa9cu+Pn54fHjx5g9ezbCwsLQpk0bAKldNz6/0tSmTRuEhoZi9uzZePz4Mfz8/ODn54cuXbpIeVauXIkLFy7g5cuXePLkCdavX4/9+/ejSZMmUp4aNWpg5cqVOH36NEJCQnD8+HFs2LBBaXxBblHXdtAkBnr6cLFxhItNarcFG3NruNg4wtrU8itzqp8q2nfNmjVYuHAhJk6cCDs7O2kMUGxsrJTH19cXAQEBCA4Oxq1btzBy5Eh8+PABzZs3z73Kf0Zd2yG3KRQKdOjQAStXrsTx48fx8OFDTJgwAQYGBrJxuOPGjZO6pwHAL7/8ggsXLmD16tV48uQJVq9ejUuXLqFjx45SngULFuDq1asICQnBgwcP8PfffyMgIED2vY6OjkZQUJD0WPKnT58iKCgo22PEMqOKtsxK/WNjYxEUFCS9Myw4OBhBQUFKj+UPCAjAy5cvceLECfz222+oVauW0gMqfuR6fm29aWJiYnDkyJF0H5Dx4sULLF26FHfu3EFISAhOnz6NUaNGoUiRIihVqlS2t8WXVLmfZ6Wdc2M/T09O7xP6+vpKF9pNTExgZGQENzc36QJAVr77RJ9j10oNZW9vj1OnTqF27dro3bs3Tp06hbFjx6J69eoQQsDV1RXt2rWTzePu7o4qVaogMjIyVx8S0LBhQ0RHR2PZsmWIiIiAm5sbFixYADs7OwCpg6I/f7yrvb09FixYgDlz5mDr1q2wtrbGqFGjZC85/vjxI6ZNm4bw8HDo6+vDyckJU6dORcOGDaU8o0ePxqJFizBt2jS8ffsW1tbWaNOmDX799ddcq/vn1LUdNEkhOxfM7j5e+r9vo9QxXoevncJsv6XqKlaWqKJ9t27disTERIwcOVK2rj59+kiDrV+9egVvb29ERUXB3NwcJUqUwNq1a6X15jZ1bQd16NatG+Lj4zF9+nS8e/cOxYsXx+LFi2FsbCzlCQsLg5bWp2umpUqVwvTp07Fo0SIsWrQIDg4O+PPPP2WviImMjMS4ceMQERGBPHnywN3dHQsXLpQ9xOjUqVOYOHGi9H/au7hycpuooi2zUv+7d++id+/e0v9p47mbN2+OyZMnAwBev36NOXPmIDIyElZWVmjWrNk3H9vVVc+vrTfNoUOHAEAaJvA5XV1dXLp0CZs3b0ZsbCxsbGxQrVo19OnTB9ra2t+0Pb6kqv08K+2cG/t5elSxT2RFVr77RJ9TCCGEugtBuUMIgSJFiqBPnz5KY9+ySp1XwCn3tZzRS91FUAu/0SvUXQQiIqJv9rXhM+rU88ZMtax3pecotaxXlXhH7n9EeHg41q9fj+DgYHTv3l3dxSEiIiIiou/AQO5/RP78+WFlZSW9jJKIiIiIiDQXA7n/EexBS0RERET038GnVhIREREREWkYBnJEREREREQahoEcERERERGRhmEgR0REREREpGEYyBEREREREWkYBnJEREREREQahoEcERERERGRhmEgR0REREREpGEYyBEREREREWkYBnJEREREREQahoEcERERERGRhmEgR0REREREpGEYyBEREREREWkYBnJEREREREQahoEcERERERGRhmEgR0REREREpGEYyBEREREREWkYBnJEREREREQahoEcERERERGRhmEgR0REREREpGEYyBEREREREWkYBnJEREREREQaRkfdBSDNEhH3Rt1FUItqV4aquwhqcW/0WnUXQS1azuil7iKohd/oFeougloUKFBA3UVQi5cvX6q7CGrB9v7f8r963lLQyEjdRaBcwDtyREREREREGoaBHBERERERkYZhIEdERERERKRhGMgRERERERFpGAZyREREREREGoaBHBERERERkYZhIEdERERERKRhGMgRERERERFpGAZyREREREREGoaBHBERERERkYZhIEdERERERKRhGMgRERERERFpGAZyREREREREGoaBHBERERERkYZhIEdERERERKRhGMgRERERERFpGAZyREREREREGoaBHBERERERkYZhIEdERERERKRhGMgRERERERFpGAZyREREREREGoaBHBERERERkYZhIEdERERERKRhGMipkUKhgJ+fn7qLQUREREREGoaB3P/r1q0bWrZsqe5i/M/Ys2M3OrfuiCa1GqFf9764df1mhnlv37iFwX0GwatRSzSt1Rg92nfDji3bZXkO7fdH/Sp1lT4J8Qmqrkq2dHZogDPVF+J+3Y3YX2kGKpgVyTDvnGL98bzBNqXP0Sq+6eZvblMFzxtsw/JSI1VV/CzbunUrmjZtiooVK6JDhw64evVqpvkDAgLQoUMHVKxYEc2aNcO2bdtk03fu3IkePXqgRo0aqFGjBvr06YPbt2/L8ixZsgSlS5eWferVq5fjdVOFEo5FMLnDCGwevhCHJ21ClSLl1F2kbMnp9j527Bg6dOiA6tWro3LlymjXrh327duX4fJWrlyJ0qVLY9asWTlSn+81evRo3LlzB8HBwdizZw+KFMn4ew4Av/zyC968eaP00dfXly3zy+mBgYGqrkqWZKf9X79+DW9vb7Rs2RJlypT5apv5+/ujdOnSGDp0aE4XO8f819s7p7/fALBx40a0bNkSlSpVQqNGjTB79mzEx8dL05s0aaJ0PC9dujSmT5+e4/XLqpw+b3n6+Ckm/e6DTl4dUL9KXez8Z4eqq0D/QTrqLgD97zl59AQW/7UIA0cMQrGSxbHfbx9+H+6NlRtXIZ9NfqX8BgYGaNG6JVzcXGBgaIDbN27hr5nzYGBggKYtm0n5jIyNsXrLGtm8evp6qq5OljXPXwUTC3fHuMDlCIgKQscC9bG2zFjUPTcUIR8jlPL7BK3Gnw82Sv9rK7RwqPJs7H91XimvvYEVxhXqgotv76q0Dllx6NAhzJo1C97e3ihVqhR27NiBAQMGYMeOHbC1tVXKHxwcjIEDB8LLywtTp07F9evXMX36dJibm0uBWEBAABo1agRPT0/o6elh7dq1+O2337Bjxw7ky5dPWparqyuWLFki/a+lpRnXqgx09fE47BkOXTuFie1/3BPW9KiivU1NTdGrVy84OTlBV1cXp0+fho+PDywsLFClShXZ8u7cuYOdO3fC3d09V+r7NYMGDUK/fv3Qv39/PHr0CMOHD8eOHTtQsWJFxMTEZDjfu3fvUKFCBVna5ye2ABAYGIhWrVpJ/ycnJ+ds4b9Bdts/MTER5ubm6NmzJzZu3JjOEj8JCQnB3LlzUbp0aVUV/7v919tbFd/vAwcOYP78+fDx8YGnpyeePXuGCRMmAABGjBgBANiwYQNSUlKk5T58+BC//fYb6tevnwu1VqaK85b4jx9ha2eLGrVrYMn8xbldJfqP0IyzHDU7deoUKlSoAH19fdja2mLMmDFISkqSpjs5OWHevHmyeUqVKgUfHx/p/wcPHqBGjRowMDBA0aJFceTIEVn+p0+fQqFQYOfOnahduzaMjIzg6emJ8+flJ+3nzp1DjRo1YGhoCAcHBwwaNAgfPnyQpi9atAju7u4wMDBA/vz50aZNG2na9u3bUaJECRgaGsLS0hL16tWTzZtbdmzZjkbNG6PJT03h6OSIfkP6wzpfPuzdtTfd/G6F3VGnQR04uTjBxtYG9RrVR9mK5XDrxi1ZPoUCsLC0kH1+JL2cmuGf4OPYEnwcDz8EY1LQGoR8jEDnAg3Szf8+KRavE6KkT8m8rjDVNcbW4BOyfFrQwvwSg+H7aCuex4bnRlUytWHDBrRs2RJeXl5wcXHByJEjYWNjk+5VWSB1v7S1tcXIkSPh4uICLy8vtGjRAuvWrZPyTJs2DW3btkXhwoXh7OyM8ePHQwiBixcvypalra0NKysr6WNh8WPtAxm5/PAG1hzfhrOBl9VdlGxTRXuXK1cOderUgYuLCxwcHNChQwe4u7vj2rVrsmXFxsbi999/x/jx45E3b16V1jOr+vbtizlz5mDfvn0IDAxEv379YGRkhNatW2c6nxAC4eHhss+XkpKSZNMjIyNVVY0sy27729nZYdSoUWjevDny5MmT4XKTk5MxduxY9O3bFwUKFFBV8b/bf729VfH9vnnzJkqVKoXGjRvDzs4OlStXRqNGjXD37qcLkRYWFrJj+enTp+Hg4ICyZcuqvM7pUcV5S+GiRfDrgD6oXb8OdHV1c6sq9B/DQO4rgoOD0aRJE5QvXx43btzA4sWLsXLlSkydOjXLy0hJSYGXlxe0tbVx4cIFLFmyBKNHj04379ixYzFixAhcv34dhQoVwi+//CIFjbdu3ULDhg3h5eWFmzdv4p9//sGZM2cwYMAAAKl3LQYNGoTJkycjKCgI/v7+qFGjBgAgNDQUv/zyC3r06IHAwECcPHkSXl5eEEJ85xbKnsTERNwPuo+yFeRdx8pWKIs7t+5kaRkPgx7g7q07KFm6pCw9Li4OHVv9gl9atMO4Eb/jYdCDHCv399JV6KCEiQv+jbwhSz8deRNlzQpnaRntC9TBmchbCP7i7t0Q1zaITHiHf4KP51h5v1ViYiICAwNRuXJlWXqlSpVw48aNdOe5ceMGKlWqJEurUqUKAgMDkZiYmO48Hz9+RFJSEkxNTWXpz58/R/369dG0aVOMHj0aL1++/I7a0NfkRnunBexPnz5VOombPn06qlevrrQ8dXF0dISNjQ1OnPh0sSUhIQFnz55VuvvyJWNjY9y4cQO3b9/G5s2bUaJECaU8Li4uuHPnDq5du4YVK1bA0dExx+uQHd/S/lm1bNkymJuby+5I/Wj+6+2tqu93qVKlcPfuXal7/MuXL3H27FlUq1Ytw3IcOHAALVq0gEKh+N5qZZsqz1uIvhe7Vn7FokWL4ODggL///hsKhQJFihRBSEgIRo8ejQkTJmSp69bRo0cRGBiIp0+fSlcWp02bhsaNGyvlHTFiBJo2bQoAmDRpEooVK4aHDx+iSJEimDVrFjp06IAhQ4YAANzd3TF//nzUrFkTixcvxvPnz2FsbIxmzZrBxMQEjo6OUpeU0NBQJCUlwcvLS/oxSO+HQ9Wio6KRkpwCcwtzWbq5hTnevnmT6by/tGiH6KhoJCcno3PPLmjyU1NpmoNjQYwcOwrOri6I/fABu7buxJC+g7Fk3TIUcFD/1VwLPRPoaGkjIj5Klv46IQrW+mZfnT+fnhlqWZbGoFt/ydLLmRVGO/s6aHRe/ePiAODt27dITk5WuhNmaWmZ4dXkyMhIWFpaytIsLCyQlJSEqKgoWFtbK80zf/585MuXDxUrVpTSihcvjilTpsDR0RGRkZFYsWIFunXrhu3bt8PMzOz7K0dKVNne79+/R8OGDZGYmAgtLS14e3vLThD9/f1x7949bNiwIYdr9e3y50/tYvX69WtZ+uvXr+Hg4JDhfA8ePED//v1x9+5dmJiYoG/fvjh48CBq1KiBx48fAwCuXLmCfv364eHDh8iXLx+GDx8Of39/VKlSBW/fvlVdpTLxLe2fFdevX4efnx+2bNnyvUVUqf96e6vq+92oUSO8ffsW3bt3B5B65/Hnn39Gjx490l3miRMn8P79ezRv3jwHapV9qjpvIcoJDOS+Iu1q1OdXgapWrYqYmBi8fPkSBQsWzNIyChYsKOse8uUVrjQlS366WpPW/zw8PBxFihTBlStX8PDhQ9m4AiEEUlJS8OTJE9SvXx+Ojo5wcXFBo0aN0KhRI7Rq1Urqplm3bl2UKFECDRs2RIMGDdCmTRuYm5srlSFNfHy8Up/9+Ph42YDsb/XlNTUhAIVSqpzv4nn4GBeHwNuBWLF4Oezs7VGnQR0AQNHiRVG0eFEpb7GSxfFb977Yvc0P/YcN+O7y5pQv738qoIBQSlX2s30tvEv6gEPhn7reGWsbYF6JQRh9dwneJr7P4ZJ+ny+vmgohvulKanrzrFmzBv7+/li+fLlsX/z8aq67uzs8PT3RvHlz7N27F507d872uinrVNHexsbG2LJlC+Li4nDx4kXMmTMHBQoUQLly5RAWFoZZs2Zh0aJFOXI8+lZt2rSBr++nhw+1b98eAJR6OigUikx7PwQEBCAgIED6/+LFizh58iR69+4Nb29vAKkXBNMEBgbi8uXLuHLlCn755RcsWrQoR+rzrXKq/QHgw4cPGDt2LMaPH5/p75M6/K+2d05/vwMCArBy5Up4e3ujRIkSePHiBWbNmoVly5bh119/VZrPz88PVatWlY2HVoecPm8hygkM5L4ivQNW2gE6LV1LS0vpoP15F6H0DugZHQQ/7yedlidtwG9KSgr69OmDQYMGKc1XsGBB6Onp4erVqzh58iQOHz6MCRMmwMfHB5cvX4aZmRmOHDmCc+fO4fDhw1iwYAHGjh2LixcvwtnZOd2yTJ8+HZMmTZKlDRk5FENHD0s3f1aYmplCS1sLb97IryhGvX0LM4vMf7Rt7VIDW2dXF7x98xbrV63N8ICopaWFwkUKI/gH6Vr3JuE9klKSle6+WemZIiI++qvzt7Wrg52h/yJRfBqb6Whkg4KG+bCq1BgpTev/95nH9bag9tnBeBb3KmcqkEXm5ubQ1tZWulr75s2bDMerpXd1982bN9DR0VHqOrlu3TqsXLkSS5YsQaFChTIti6GhIdzc3PD8+fNvqAllhSrbW0tLS7pQVrhwYTx58gSrVq1CuXLlEBgYiDdv3qBjx45S/uTkZFy9ehX//PMPLl68CG1t7ZyqZob8/f1x5coV6f+0oDJfvnx49erTd8/KyirdMVAZEULg2rVrcHV1zTBPbGwsAgMD4eLi8g0lzxnf0v5f8/LlS4SEhEg9T4BPv4HlypXDrl27Mr3bpUr/a+2tqu/3okWL0LRpU3h5eQFIvfAWFxeHqVOnolevXrKeTiEhIbh48SJmz56dk1XLltw6byH6Fhwj9xVFixbFuXPnZMHYuXPnYGJiAnt7ewCAtbU1QkNDpenv3r3DkydPZMt4/vw5QkJCpLQvH2KSFWXKlMGdO3fg5uam9NHTS306o46ODurVq4eZM2fi5s2bePr0KY4fTx07pVAoULVqVUyaNAnXrl2Dnp4edu3aleH6vL29ER0dLfv0G9I/2+X+nK6uLgoVLoSrl67I0q9evoJiJYpleTkCAokJ6Y+fAlJ/GB89eASLL7p4qEuiSMKt949R3VLeP766ZUlciQrKdN5K5kXhbGyLLV+MgXv0IRj1zg1Dowsjpc+R1wE4/+YOGl0YiZCPuT8wXldXFx4eHrhw4YIs/cKFC/D09Ex3Hk9PT6X858+fh4eHh+zCxtq1a7F8+XIsXLgQxYp9fV9JSEjAkydPYGVl9Q01oaxQZXt/SQiBhITU14lUqFAB27Ztw5YtW6RP0aJF0aRJE2zZsiVXgjgAiImJwZMnT6TPvXv3EBYWhlq1akl5dHV1UbVqVVy6dClbyy5evLgsOPiSnp4eChUqlGkeVfuW9v8aJycnpbatWbMmypcvjy1btsDGxiYniv5N/tfaW1Xf748fPyoNS0m7IP7lhe89e/bAwsIC1atX/97qfLPcOm8h+ha8I/eZ6OhoXL9+XZb266+/Yt68eRg4cCAGDBiAoKAgTJw4EcOGDZMORHXq1MGaNWvQvHlzmJubY/z48bITiXr16qFw4cLo0qUL5syZg3fv3mHs2LHZLt/o0aNRqVIl9O/fH71794axsTECAwNx5MgRLFiwAPv27cPjx49Ro0YNmJub48CBA0hJSUHhwoVx8eJFHDt2DA0aNEC+fPlw8eJFvH79Gh4eHhmuT19fX6nbUlTiu2yX+0ut27fBjMl/opBHIXgUL4oDu/cj/FU4mrVM7f++cvEKRLyOwOgJqXeadu/wQ778+eDgmHp1/vaN29i2aRtatmkpLXP9ynUoUswDBRzs8eFDLPy27cKjBw8xcITy3Ut1WfF0H+aWGIib0Y9wNfo+OhSoBzsDK2x4eRgAMNqtA2wMLDD09t+y+drb18XVqPu4H/NClh6fkqiU9i4xFgCU0nNTp06dMG7cOBQtWhQlS5bEzp07ERYWJj1Bdf78+QgPD5ceGNSmTRts2bIFs2fPlh7k4+fnJ3tf0Jo1a7Bo0SJMmzYNdnZ2iIhIfeCLkZERjIyMAAC+vr6oUaMGbG1t8ebNG6xYsQIfPnxQ27iK7DDQ04edxacTVBtza7jYOOJ9XAxeR6v/yYSZUUV7r1y5EsWKFUOBAgWQmJiIM2fOYP/+/VK3M2NjY7i5ucnKYWhoCFNTU6X03LZkyRIMGzYMjx8/xuPHjzF06FDExsZix45P74hatGgRQkNDMWXKFADAqFGjEBAQgEePHsHExAR9+vRBiRIlMGrUKGmeyZMnw9/fHy9fvoS1tTWGDx8OExMTbN68Odfr+Lnstj8ABAWlXryKjY3F27dvERQUBB0dHbi6ukJfX1+pDU1MTABA7W2bnv96e6vi+12jRg1s2LABhQsXlrpWLl68GDVr1pSdO6WkpGD37t1o1qwZdHTUe7qqivOWxMREPHvyLPXvpCREvI7Aw/sPYWhkCPsC9rlbQdJYDOQ+c/LkSaX31XTt2hUHDhzAyJEj4enpCQsLC/Ts2RPjxo2T8nh7e+Px48do1qwZTE1NMWXKFNkdOS0tLezatQs9e/ZEhQoV4OTkhPnz56NRo0b/x96dx9WU/nEA/6TSYmlPpU2LlCIyEkMY+67JOtaJsRuMpLFlzZatkQnZdyJ79oydUBmSXaJ9tbXf3x/9HK6KpNt1zef9ep0X99znOef53nO6537PeZ5zvqh9derUwdmzZzFlyhQ0bdoUIpEI5ubm6NWrFwBAXV0de/fuhZeXFzIzM2FpaYnt27ejdu3aiIyMxD///INly5YhIyMDJiYm8PHxKfKGK5LWvFULZKRnYMu6zUhJToGpmSnmLvZGNf2CgePJyclIiH/fLUWUL8K6VQGIi41DBXl5GFTXx5ARQ8SeIffq1SssW7AEqSmpqFSpEsxrWmCJ31LUsvn0g1nL08H4i1CvWBm/m7tCV0kD9149w8Cb84S7UOoqacBAWfzqURUFVbSv5givu+ul0eRSadu2LdLT07F69WokJSXBwsICvr6+MDAwAAAkJSUhLi5OKF+9enX4+vrCx8cHu3btgo6ODiZNmiT2MO9du3YhJycH7u7iN3UZNmwYhg8fDgCIj4+Hp6cn0tLSoKGhATs7O2zcuFFY77espoEZFg+eJrwe3q5gTN/xm2exOMhfWs0qEUls78zMTMybNw8JCQlQUlKCqakp5syZg7Zt25Z7fF9qxYoVUFFRwaJFi6Curo7r16/D1dVV7JlihoaGYs/IUlNTw9KlS6Grq4uMjAzcunULnTp1EnvwsoGBAdasWQMtLS0kJSXh+vXraNOmjdTvzPql2x94P7YMKBj/dfToUejr6+PIkSPl2vay8L1vb0n8fQ8ZMgRycnLw8/NDQkICNDQ00KxZM+EO3O9cuXIFcXFx6NatW7nE+imS+N2SnJSMEYOGCa93b9uF3dt2oU69uvBZ+X4sJkmXn58fFi1ahNjYWNSuXRvLli0r0RXiCxcuwNnZGba2toUuEpUlOVF533+eZFp08rcx5qy8/Xhdth7SXFbu/rhR2k2Qim4Lhki7CVIR5LFW2k2Qim/5OWWSJO0kUFq4vf9bkt5++s6S3ytjrW93P3cLXyiV9QbUnfT5Qh/YuXMn+vfvDz8/PzRp0gT+/v5Yu3Yt7ty588mbHaanp6N+/fqwsLBAfHy8RBM5jpEjIiIiIiL6wJIlS+Dm5oYhQ4bA2toay5Ytg5GREVatWvXJesOGDUPfvn2LvUN9WWIiR0RERERE37WsrCxkZGSITR8/Zuud7OxsoUvzh9q0aYOLFy8Wu47169fj4cOHmDFjRpm2vThM5IiIiIiI6Lvm7e0NNTU1senDG/F8KCkpCXl5eahWrZrY/GrVqhUa9/vO/fv3MXnyZGzdurXcbtDDm50QEREREdF3zdPTExMmiD8L+eO7s3+sqGdJF/Us6Ly8PPTt2xczZ8787HNuyxITOSIiIiIi+q4V9Vit4mhra0NeXr7Q1beEhIRCV+kA4OXLlwgNDcXNmzeFO7Dm5+dDJBJBQUEBx48fR8uWZf8weHatJCIiIiIi+r+KFSvCwcEBJ06cEJt/4sQJNG7cuFD5qlWr4tatWwgLCxOm4cOHw8rKCmFhYXB0dJRIO3lFjoiIiIiI6AMTJkxA//790aBBAzg5OWH16tWIjo4Wnl/r6emJ58+fY9OmTahQoQJsbW3F6uvq6kJZWbnQ/LLERI6IiIiIiOgDvXr1QnJyMmbNmoXY2FjY2triyJEjMDExAQDExsYiOjpaqm1kIkdERERERPSRkSNHYuTIkUW+t2HDhk/W9fLygpeXV9k36gMcI0dERERERCRjeEWOiIiIiIjKxQzDvtJuwneDV+SIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYoSLsBRLLg7o8bpd0EKkdBHmul3QSp6LZgiLSbIBUhF89IuwlUjri9/1u0VTSl3QQiieEVOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkJMjLywv29vafLNO8eXOMGzeuXNpDRERERETfBwVpN6C0EhISMG3aNBw9ehTx8fHQ0NBA3bp14eXlBScnJ2k3r8T27t0LRUVFaTej3B0I3I/d23YhOTkZpjVMMeL3kbCzr1Nk2XMh53Bo3wE8vP8QOdk5MKlhgv5uA/FDox+EMk8ePcHGtRtw/+49xMfFY8TvI+HS6+fyCqdYu3btwsaNG5GUlARzc3NMnDgR9evXL7Z8aGgolixZgocPH0JHRwcDBw5Ejx49xMq8fPkSf/31F06fPo2MjAxUr14d48ePR9OmTQEAf//9N/z9/cXqaGlp4eTJk2UfYAmV9eewd+9eHDp0CA8ePAAAWFtbY8yYMbC1tZV4LJ9S1nGeOnUKAQEBePbsGXJzc2FsbIz+/fujU6dORS4vICAAf/31F/r27Qt3d/cyj6+s2ZnUQo8mnWCpXwNaVTXgtX0JLt4NlXazSkwkEmH3jt04eewUXr1+BcualhgyzA1GxkafrHf54mXs2LoT8XHxqKZXDX369YGjU0Ph/ZFDRyExIbFQvbbt22DI8CEAgLdvM7F101Zcu3INL1++hK6uLtp3ao+27duUbZBFkMZ+npubC39/fxw5cgTJycnQ1tZG586dMXToUFSoIL1z0qXZB55FP8PObTvx6OFjJCYkYpDbQHTs0lGszJ3bd3Bg3wE8evAYqampcPeciIaNGhazRMmSxHFs69at2L17N+Li4qCuro5WrVphzJgxUFJSAvBtHMfKOu4DBw5gxowZhepdvnxZiPv169fw8/PD6dOnkZqaCisrK0yaNAm1a9cu+wDpuyCzidzPP/+MnJwcbNy4EWZmZoiPj8epU6eQkpIi7aZ9EU1NTWk3odyFnDyDVcv9MGbiWNSuY4vDQYfw5x+eCNi6Drp61QqVvxUWgfo/OODXYW6oVKUyjh0OxvRJU+G75i9YWFkCALIyM6FvoI9mLZrh7xWryjukIh07dgyLFi2Cp6cn7O3tERgYiNGjRyMwMBD6+vqFyj9//hxjxoyBi4sL5syZg7CwMHh7e0NDQwOtWrUCAOTk5GD48OHQ1NTEokWLoKuri/j4eKiqqooty9zcHH///bfwWpo/dCTxOYSGhqJdu3aoW7cuKlasiI0bN2LEiBEIDAyErq5ueYcIQDJxqqmpYciQITA1NYWioiLOnTsHLy8vaGpqonHjxmLLu337Nvbu3QtLS8tyibcsKCsq4VHcUxy7eRYzeo+XdnO+2P69+3Fo/2GM+n0k9A30EbhrL2ZPn4PlfsugoqpSZJ2ou/ewdNEy9P6lFxo2aoirl69i6aKlmO09C5b//z7zXuyN/Px8oc6zp9GYPWMOnJq8P0m5MWAD/r11G2PHj4GOrg7CwyKw9u+10NTUwA+OPxRab1mR1n6+YcMG7NmzB7NmzYK5uTlu374NLy8vVKlSBX379pVYvJ9Tmn0gKysLutWqwamxEzas21h0mcwsmJiaosVPLbB4vo8kQ/gkSWzvI0eOYMWKFfDy8kLdunXx9OlTTJ8+HQAwceJEYVnSPI5JIm4AqFy5Mvbt2ydW910SBwCzZs3CgwcPMGfOHOjo6ODIkSMYPny4VI9t9G2Tya6VaWlpOH/+PBYsWIAWLVrAxMQEDRs2hKenJzp2LDirJScnh1WrVqF9+/ZQUVFBjRo1sHv3brHlPH/+HL169YKGhga0tLTQtWtXPHnyRKzM+vXrYW1tDWVlZdSqVQt+fn5i78fExKB3797Q1NREpUqV0KBBA1y5ckWszObNm2Fqago1NTX07t0bL1++FN77uGulqakp5s2bh19//RVVqlSBsbExVq9e/UXtDgkJQcOGDVGpUiWoq6ujSZMmePr0KQAgPDwcLVq0QJUqVVC1alU4ODggNLR8z4AH7tiDdp3bo0OXjjAxNcHIcaOgo6uLg/sOFll+5LhR6NWvN6xsasHQyBBuw4egulF1XLpwSShjZVMLv40ehhatW34zVzi3bNmCbt26wcXFBWZmZnB3d4eenl6h/fCdPXv2QF9fH+7u7jAzM4OLiwu6du2KTZs2CWWCgoKQkZGBJUuWwN7eHgYGBqhXrx6srKzEliUvLw9tbW1hkuYJA0l8DvPmzUPPnj1hZWWFGjVqYNq0aRCJRIX+9sqTJOJs0KABWrZsCTMzMxgZGaFv376wtLTEzZs3xZb15s0b/Pnnn5g2bRqqVq0q0TjL0rUH4dhwejcuRF6TdlO+mEgkwuGDR+DSozscnRxhbGKM0eNGISs7C+f/OV9svcMHDqOOfR10d+2O6obV0d21O2zr2OLwwcNCGTW1qtDQUBem66E3UE2vGmxsbYQy96Luo3lLZ9S2qw3darpo3bYVTGqY4OGDhxKNW1r7eUREBJydndG0aVMYGBigdevWaNSoEe7cuSPReD+ltPuAhaUFBgzujybNmhR7vKrnUA99+vWGo5OjpJpfIpLY3hEREbC3t0f79u1hYGAAJycntGvXrtC2lOZxTBJxv/NhTNra2sL8zMxMnDp1CuPGjYODgwOMjY0xfPhwGBgYFLteIplM5CpXrozKlSsjKCgIWVlZxZabNm0afv75Z4SHh6Nfv37o06cPIiMjART88GnRogUqV66Mf/75B+fPn0flypXRrl07ZGdnAwDWrFmDKVOmYO7cuYiMjMS8efMwbdo0bNxYcAbt1atXcHZ2xosXL3DgwAGEh4dj0qRJYmdSHz58iKCgIBw6dAiHDh3C2bNnMX/+/E/G5+PjgwYNGuDmzZsYOXIkRowYgbt375ao3bm5uejWrRucnZ0RERGBS5cu4bfffoOcnBwA4JdffoGhoSGuXbuG69evY/LkyeWa+OTk5OBe1D04NGwgNt+hoQNu37pdomXk5+fjzZu3qPIN/2DNyclBZGRkoW6+jRo1Qnh4eJF1wsPD0ahRI7F5jRs3RmRkJHJycgAAZ8+eRZ06dTB//nz89NNPcHV1RUBAAPLy8sTqRUdHo3Xr1ujYsSM8PDwQExNThtGVnKQ+h49lZmYiNzcXampqZdPwL1Qecb5LVJ88eQIHBwex97y9vdG0adNCyyPJSYhPQFpqGurWqyvMU1RUhE1tG0TdjSq23r2oe6j7UTdy+3p1EXX3XpHlc3JycS7kHFq2aiF8jwNALWsrhF69juTkFIhEIvwb8S9in8eibj37rwvsE6S5n9vb2+Pq1avCScmoqCiEhYWhSZMmXxtWqZV2H5AVktre9vb2uHPnDv79918ABSfEL1y4gB9//FGsnrSOY5Lcz9++fYv27dujbdu2GDt2rPDbDgDy8vKQl5eHihUrii1HSUmp0Mk7ondksmulgoICNmzYgKFDh+Lvv/9G/fr14ezsjN69e6NOnfcHyB49emDIkILxBLNnz8aJEyfg6+sLPz8/7NixAxUqVMDatWuFg+P69euhrq6OkJAQtGnTBrNnz4aPjw9cXFwAADVq1MCdO3fg7++PgQMHYtu2bUhMTMS1a9eEM0UWFhZibc3Pz8eGDRtQpUoVAED//v1x6tQpzJ07t9j4OnTogJEjRwIAPDw8sHTpUoSEhKBWrVqfbXeDBg2Qnp6OTp06wdzcHEDB+KF3oqOj4e7ujlq1agHAJ7thZWVlFUqUs7KyxLoBfKn0tHTk5+VDQ1NDbL6GpgZSS9gtds/23ch8+xbOLZ1L3Q5JS01NRV5eXqEziFpaWkhOTi6yTnJyMrS0tMTmaWpqIjc3F2lpadDR0cHz589x7do1tG/fHr6+voiOjsb8+fORm5uLYcOGAQBsbW0xe/ZsmJiYIDk5GWvXrsWgQYOwZ88eqKurSyTe4kjqc/jYihUroKurC0dH6Zy9lmScL1++RNu2bZGTk4MKFSrA09NT7AdDcHAw7t69iy1btpRxVPQpaalpAFDo5IGauhqSEpKKr5eWBrWP/g7V1NWF5X3s2pWreP36NZq3bC42f/DQX+G/8m8M/3U45OXlIScnh+Gjh8PaptaXhlJi0tzPBw8ejFevXqF79+6Ql5dHXl4eRo0ahfbt25dxlCVX2n1AVkhqe7dr1w6pqakYPHgwgILxjz169MCvv/4q1JHmcUxScZuammLmzJmwsLDA69evsW3bNgwePBg7duyAiYkJKlWqhDp16mDNmjWoUaMGtLS0EBwcjH///RfGxsYSi5dkm0wmckDBGLmOHTvi3LlzuHTpEoKDg7Fw4ULhjx1AobMpTk5OCAsLAwBcv34dDx48EBKsdzIzM/Hw4UMkJibi2bNncHNzw9ChQ4X3PzzrHxYWhnr16n3ycr+pqanYOvT19ZGQkPDJ2D5MRuXk5KCnpyfU+Vy727Rpg0GDBqFt27Zo3bo1WrVqhZ49ewp9uidMmIAhQ4Zg8+bNaNWqFXr06CEkfB/z9vbGzJkzxeaNcx+P8R4TPtn+kpD76LVIBMgVmlvY6eOnsTlgE2YumFUoGfwWfXgGHSg42/zxvC9ZTn5+PjQ1NTFt2jTIy8vDxsYGiYmJ2LRpk5DIfXhW09LSEnXr1kXnzp1x8OBB9O/f/yuiKb2y/hw+tGHDBgQHB2PNmjVfdZKhLEgizkqVKmHHjh14+/Ytrly5Ah8fHxgaGqJBgwaIi4vDokWL4OfnJ/XYv3fnQs7Bf9X7bu6e0zwBFLFPFnyZfVKhXeIT+8npE2dQz8Eemlrix5mjh47gXtR9eEyZBB1dHdy5HYm1f6+FhoY66hRz46iyUt77OVAwZunIkSOYN28ezM3NERUVhcWLF0NHRwddunT5uoBKqCz3AVlS1ts7NDQUAQEB8PT0hJ2dHZ49e4ZFixZh9erV+O233wB8G8exso67Tp06Yr/v7O3t0adPH+zYsQMeHh4AgDlz5sDLywtt27aFvLw8atWqhfbt2wu9yYg+JrOJHAAoKyujdevWaN26NaZPn44hQ4ZgxowZQiJXlA9/EDs4OGDr1q2Fyujo6CAzMxNAQffKj8/yy8vLAwBUVIoeyPyhj7stysnJiXW9/NI6n2s3UHCFbuzYsQgODsbOnTsxdepUnDhxAo0aNYKXlxf69u2Lw4cP4+jRo5gxYwZ27NiB7t27F1qep6cnJkwQT9riXxW+k9qXUFNXQwX5CkhJSRWbn5aaCvXPJGYhJ89gifdiTJszHfV/cPhkWWnT0NCAvLx8obN3KSkpxSb+RZ3tS0lJgYKCgnDyQFtbGwoKCsI+CBRcKU5KSkJOTk6R3WRVVFRgYWGB6Ojorw3ri0nqc3hn06ZNCAgIwN9//42aNWuWbeO/gCTjrFChgnA21srKCo8fP8a6devQoEEDREZGIiUlBb/88otQPi8vDzdu3MDOnTtx5coVsX2FSq9BwwbCzZUAIPf/3aXS0tLETiqlp2dAXb34Lr7qRVx9S09Ph1oRdRITEhEREQH3yRPF5mdlZWPblu1w93SHQ4OCu+iZmJrgyaMnOBB0UGKJnLT2cwBYtmwZBg8ejHbt2gEo+HEfGxuL9evXl1siV1b7gKyQ1Pb28/NDx44dhd5OlpaWePv2LebMmYMhQ4YUeVOT8jyOSfq49U6FChVQu3ZtsZiMjIwQEBCAt2/f4tWrV9DR0YGHhweqV6/+lVHR90omx8gVx8bGBq9fvxZeX758Wez9y5cvC10K69evj/v370NXVxcWFhZik5qaGqpVq4bq1avj0aNHhd6vUaMGgIKzK2FhYeV6p8zPtfudevXqwdPTExcvXoStrS22bdsmvFezZk2MHz8ex48fh4uLC9avX1/kupSUlFC1alWx6WvP+isqKqKmVU3cuHpdbP6Na9dR26742+uePn4ai+YshKfXn3Bs8u2PA1JUVIS1tXWR+2DdunWLrFO3bt1C5S9dugRra2shQbO3t8ezZ8/ETgZER0dDW1u72LGO2dnZePz4sdig6vIiqc8BADZu3Ig1a9Zg5cqVUr81syTj/JhIJBLG8TZs2BC7d+/Gjh07hMnGxgYdOnTAjh07mMSVIRVVFejr6wmToZEh1DXUEREWIZTJycnFndt3YFXLqtjl1LSqiYjwW2LzwsMiYFWr8ImIM6fOQE1NDfUbiN/yPC8vF3m5eajw0dWBCvIVIBKJShNeiUhrPwcKep18fDWkQoUKnz0xWpbKah+QFZLa3pmZmYWStQoVCvbd4vbf8jyOldd+LhKJEBUVVeRwARUVFejo6CAjIwMXL15E8+bNSxcMffdkMpFLTk5Gy5YtsWXLFkRERODx48fYvXs3Fi5ciK5duwrldu/ejXXr1uHevXuYMWMGrl69itGjRwMouOmHtrY2unbtinPnzuHx48c4e/Ysfv/9d2FArZeXF7y9vbF8+XLcu3cPt27dwvr167FkyRIAQJ8+faCnp4du3brhwoULePToEQIDA3Hp0qXCjS4jn2v348eP4enpiUuXLuHp06c4fvw47t27B2tra7x9+xajR49GSEgInj59igsXLuDatWtiY+jKw8+9XXH04BEEHzqKp0+eYtVyPyTEJ6BTt84AgIBVa7Fg1vsbwpw+fhoLZ8/HsDHDYW1rg5TkFKQkp+D1q1dCmZycHDy49wAP7j1ATm4ukhKT8ODeAzyPeV6usX2oX79+2LdvH4KCgvDo0SMsXrwYcXFxcHV1BVAwrmvq1KlCeVdXV8TGxmLx4sV49OgRgoKCEBQUhAEDBghlevTogfT0dCxcuBBPnz7FuXPnEBAQgF69eglllixZgtDQUDx//hy3bt2Cu7s7Xr9+jc6dO5df8B+QxOewYcMGrFy5EjNmzICBgQGSkpKQlJSEN2/elHt870gizoCAAFy+fFn42968eTMOHz6MDh06ACjojvbxCR0VFRWoqakVGq/7LVKuqAQzPROY6ZkAAPQ0dGCmZwIdNa3P1JQ+OTk5dOzcAXv37MOVS1cR/TQaK1eshFJFJfzY7H23MN+lf2Hrpvcn0jp27oDwm+EICgzC85jnCAoMwq3wW+jYWfw5Yvn5+ThzKgTOLZwLJeSqqqqwsbXB5g1bcPvWbcTHJ+DMqRCcPXNW4s8ak8Z+DgDNmjVDQEAAzp07hxcvXuD06dPYsmULWrZsKdF4P6W0+0BOTi4eP3qCx4+eIDcnF8nJKXj86AliY+OEMm/fZgplgIIbqzx+9ASJieU79k4S27tZs2bYvXs3goOD8fz5c1y+fBmrVq2Cs/P7fV3axzFJxO3v74+LFy8iJiYGUVFRmDlzJu7duycsEwAuXryICxcuCJ/L0KFDYWpqWm5XnUn2yGTXysqVK8PR0RFLly7Fw4cPkZOTAyMjIwwdOhR//vmnUG7mzJnYsWMHRo4cCT09PWzduhU2NgW3b1ZVVcU///wDDw8PuLi44OXLl6hevTp++ukn4fbdQ4YMgaqqKhYtWoRJkyahUqVKsLOzEx4XULFiRRw/fhx//PEHOnTogNzcXNjY2GDlypUSi/1z7X779i3u3r2LjRs3Ijk5Gfr6+hg9ejSGDRuG3NxcJCcnY8CAAYiPj4e2tjZcXFwKjYOTtOatWiAjPQNb1m1GSnIKTM1MMXexN6rpFzxDLjk5GQnx78cRHt5/CHl5efD1WQFfnxXC/NYd2mDS1IJ+5clJyRgxaJjw3u5tu7B72y7UqVcXPiuXlFNk4tq2bYv09HSsXr0aSUlJsLCwgK+vLwwMDAAASUlJiIt7f+CuXr06fH194ePjg127dkFHRweTJk0SewaNnp4e/Pz84OPjg549e0JXVxd9+/YV604cHx8PT0/Pgu4+Ghqws7PDxo0bhfWWN0l8Drt27UJOTk6hh14PGzYMw4cPL5/APiKJODMzMzFv3jwkJCRASUkJpqammDNnDtq2bVvu8UlCTQMzLB48TXg9vF3B2JfjN89icZB/cdW+GV1duiI7Oxtr/dfi9avXsKhpgakzp4g9PywpKQlyFd5fSbKytsK4ieOwY+sO7Ni2E3p6ehjvPk54htw7t8JvISkxCS1btShy3eMmjsO2TduwfMkKoQtWn3590KZda8kE+3/S2s89PDzg5+eHefPmITU1FTo6OnB1dRXGVElLafaB1JQUTBo/SXh9MOggDgYdhI2tDWbO9QIAPHrwEF5T3x+bN64ruI29c0tnjP59lISjek8S23vIkCGQk5ODn58fEhISoKGhgWbNmgkn2gHpH8ckEffLly8xe/ZsJCcno3LlyqhVqxbWrl0LW1tbocyrV6/g6+uL+Ph4qKmp4aeffsKoUaO+mccq0bdHTiTJfhhSJCcnh3379qFbt27Sbsp3JTpZOrexlzZtlf/eg9vpv6fbgiHSboJULO7jIe0mSIWFsew8PL4sPYi+L+0mSMV/dXv/V6mqqkq7CcWS1m9JYy1DqaxXkmSyayUREREREdF/GRM5IiIiIiIiGSOTY+RK4jvtMUpERERERMQrckRERERERLKGiRwREREREZGMYSJHREREREQkY5jIERERERERyRgmckRERERERDKGiRwREREREZGMYSJHREREREQkY5jIERERERERfcTPzw81atSAsrIyHBwccO7cuWLL7t27F61bt4aOjg6qVq0KJycnHDt2TKLtYyJHRERERET0gZ07d2LcuHGYMmUKbt68iaZNm6J9+/aIjo4usvw///yD1q1b48iRI7h+/TpatGiBzp074+bNmxJro5xIJBJJbOn03YlOjpF2E6RCW0VT2k0gkrhuC4ZIuwlSsbiPh7SbIBUWxpbSboJUPIi+L+0mSMV/dXv/V6mqqkq7CcWS1m9JYy3DLyrv6OiI+vXrY9WqVcI8a2trdOvWDd7e3iVaRu3atdGrVy9Mnz79i9ZdUrwiR0RERERE37WsrCxkZGSITVlZWUWWzc7OxvXr19GmTRux+W3atMHFixdLtL78/Hy8fPkSmpqSuxjARI6IiIiIiL5r3t7eUFNTE5uKu7KWlJSEvLw8VKtWTWx+tWrVEBcXV6L1+fj44PXr1+jZs+dXt704ChJbMhERERER0TfA09MTEyZMEJunpKT0yTpycnJir0UiUaF5Rdm+fTu8vLywf/9+6OrqfnljS4iJHBERERERfdeUlJQ+m7i9o62tDXl5+UJX3xISEgpdpfvYzp074ebmht27d6NVq1albm9JsGslERERERHR/1WsWBEODg44ceKE2PwTJ06gcePGxdbbvn07Bg0ahG3btqFjx46SbiavyBEREREREX1owoQJ6N+/Pxo0aAAnJyesXr0a0dHRGD58OICCrprPnz/Hpk2bABQkcQMGDMDy5cvRqFEj4WqeiooK1NTUJNJGJnJEREREREQf6NWrF5KTkzFr1izExsbC1tYWR44cgYmJCQAgNjZW7Jly/v7+yM3NxahRozBq1Chh/sCBA7FhwwaJtJGJHBERERER0UdGjhyJkSNHFvnex8lZSEiI5Bv0EY6RIyIiIiIikjFM5IiIiIiIiGQMEzkiIiIiIiIZw0SOiIiIiIhIxsiJRCKRtBtBssPV1VXaTZCK06dPS7sJUhETEyPtJkiFoaGhtJsgFSEXz0i7CVIxcfsCaTdBKhb38ZB2E6RCXUdL2k2QirTEZGk3gcpRnVp1pd2EYr1580Yq61VVVZXKeiWJV+SIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOQkSE5ODkFBQdJuBhERERERfWcUpN2AL3Hx4kU0bdoUrVu3RnBwsLSbI/Dy8kJQUBDCwsLE5sfGxkJDQ0M6jZIRPXv2RKtWrVCpUiU8ePAAa9asQUxMTLHlW7VqBWdnZxgZGQEAHj16hG3btuHBgwdCmQoVKqBnz55o2rQp1NXVkZaWhjNnziAwMBAikUjiMZWEh4cHBgwYAHV1dVy/fh2TJk3C3bt3P1mnatWqmDp1Kjp16gR1dXVER0dj6tSpOHnypFBGX18fM2bMQKtWraCsrIyHDx9i7NixCA8Pl3RIYkQiEfz9/REYGIiXL1/C1tYWnp6eMDc3/2S9kydPws/PDzExMTA0NMTo0aPRsmVL4f1du3Zhz549ePHiBQDAzMwMv/32G3788UehzKlTpxAYGIjIyEikpaVhx44dsLKykkygJfSl27tPnz5YuXJlofn6+vrIysoSlunh4SH2fnx8PKytrcu28SUgEomwe8dunDx2Cq9ev4JlTUsMGeYGI2OjT9a7fPEydmzdifi4eFTTq4Y+/frA0amh8P7IoaOQmJBYqF7b9m0wZPgQAMDbt5nYumkrrl25hpcvX0JXVxftO7VH2/ZtyjbIMmRnUgs9mnSCpX4NaFXVgNf2Jbh4N1TazfoqpdkHnkU/w85tO/Ho4WMkJiRikNtAdOzSUazMsaPHcfzocWE/MDQ2RI9erqjnUE+i8ZTEgcD92L1tF5KTk2FawxQjfh8JO/s6RZY9F3IOh/YdwMP7D5GTnQOTGibo7zYQPzT6QSjzx6gJiLhZ+Lu6oZMj5vrMk1gcnyOpv+8P7duzD9s2b0eHzh0weMggYf6VS1dwIvgkHj18hJcvX2Lh0oWoYWZahtF9ndJ8NiePn8TZM//g2dNnAAAzczP06d8HljUtyqvZ9B2RqSty69atw5gxY3D+/HlER0dLuzmfpaenByUlJWk345vVrVs3dOrUCQEBAZg8eTLS0tIwffp0KCsrF1undu3aOH/+PLy8vPDnn38iKSkJ06ZNg6ampthy27Rpg4CAAIwbNw6bN29G165d0b59+/II67PGjh2LkSNHwsPDA61atUJCQgICAwNRuXLlYusoKipi7969MDY2xuDBg9GwYUP8/vvviI2NFcqoqanh6NGjyM3NRc+ePeHk5IRp06YhPT29PMISs2HDBmzZsgWTJ0/Gli1boKWlheHDh+P169fF1gkPD8fkyZPRsWNH7Ny5Ex07doSHhwdu3bollKlWrRrGjBmDrVu3YuvWrWjYsCHGjx+Phw8fCmXevn2LunXrYsyYMRKNsaRKs70BICMjA7Vq1RKb3iVx70RGRoq9/2FCW572792PQ/sPw23Yr5i/2Bvq6uqYPX0O3r55W2ydqLv3sHTRMji3aIbFyxfBuUUzLF20FPej7gtlvBd7Y/WG1cI0beZUAIBTEyehzMaADQi7EYax48dg2V9L0bFLR6xbvQ7XrlyTXMBfSVlRCY/inuKvIxuk3ZQyU5p9ICsrC7rVquGX/n2hrqFeZBktLU38MqAv5vt4Y76PN2ztbLFg3kI8i34moUhKJuTkGaxa7oc+A/ti1QZ/2Na1w59/eCIhLr7I8rfCIlD/BwfMXTwPK9evQl0He0yfNBUPPtjfZ3h7YefB3cK0ZksAKshXQLOWzcorrCJJ6u/7nQf3H+DEsZMwMTUp9F5mZhasrK3wy4C+ZRpTWSnNZ3P71h382LQJZsyZgbkL50BbRwtzvOYgOTmlHFtO3wuZSeRev36NXbt2YcSIEejUqRM2bNgg9v6BAwfQoEEDKCsrQ1tbGy4uLsJ7qampGDBgADQ0NKCqqor27dvj/v33XyZeXl6wt7cXW96yZctgamoqvA4JCUHDhg1RqVIlqKuro0mTJnj69Ck2bNiAmTNnIjw8HHJycpCTkxPa9nHXypiYGPTu3RuampqoVKkSGjRogCtXroi1YfPmzTA1NYWamhp69+6Nly9fCvVFIhEWLlwIMzMzqKiooG7dutizZ49YnL/88gt0dHSgoqICS0tLrF+/HgCQnZ2N0aNHQ19fH8rKyjA1NYW3t3dpNkWZ6dixI/bu3YsrV67g2bNn8PX1hZKSEpo2bVpsneXLl+PYsWN48uQJXrx4gb///htycnKws7MTylhZWeHatWu4ceMGEhMTcfnyZYSHh3/2alB5GT58OHx8fHDo0CFERkZi5MiRUFVVxc8//1xsnV9++QUaGhro168frly5gpiYGFy5cgW3b98Wyvz+++94/vw5Ro8ejRs3buDZs2f4559/8OTJk3KI6j2RSIRt27bBzc0NP/30EywsLDB79mxkZmbi6NGjxdbbtm0bHB0d4ebmhho1asDNzQ0NGzbE1q1bhTLOzs5o2rQpTExMYGJigtGjR0NVVRURERFCmU6dOmHYsGFo1KiRROMsqdJsb6Dgc0xISBCbPpabmyv2fnJysqTC+GQ7Dx88Apce3eHo5AhjE2OMHjcKWdlZOP/P+WLrHT5wGHXs66C7a3dUN6yO7q7dYVvHFocPHhbKqKlVhYaGujBdD72BanrVYGNrI5S5F3UfzVs6o7ZdbehW00Xrtq1gUsMEDx88LGq134RrD8Kx4fRuXIj8dpPNL1HafcDC0gIDBvdHk2ZNoKioWGSZBg0boH6D+jCobgCD6gbo278PlJWVca+IhKA8Be7Yg3ad26NDl44wMTXByHGjoKOri4P7DhZZfuS4UejVrzesbGrB0MgQbsOHoLpRdVy6cEkoU7VqVWhqaQrTjWvXoaykjGYtncsrrEIk+fcNFFxRX7HEF8NHDUOlypUKLce5RTP06O0Ku7p2hd6TttJ+Nr//MRZtO7RFDTNTVDesjmGjhkOUL8K/4beKrUNUHJlJ5Hbu3AkrKytYWVmhX79+WL9+vdBN7vDhw3BxcUHHjh1x8+ZNnDp1Cg0aNBDqDho0CKGhoThw4AAuXboEkUiEDh06ICcnp0Trzs3NRbdu3eDs7IyIiAhcunQJv/32G+Tk5NCrVy/88ccfqF27NmJjYxEbG4tevXoVWsarV6/g7OyMFy9e4MCBAwgPD8ekSZOQn58vlHn48CGCgoJw6NAhHDp0CGfPnsX8+fOF96dOnYr169dj1apVuH37NsaPH49+/frh7NmzAIBp06bhzp07OHr0KCIjI7Fq1Spoa2sDAFasWIEDBw5g165diIqKwpYtW8QS1fKmq6sLDQ0NsS5/ubm5uHPnzhd1g6tYsSLk5eXx6tUrYV5kZCTs7Oygr68PADAxMUGtWrVw48aNsguglExMTKCnp4czZ84I87Kzs3HhwgU0bFh0lxMAaN++Pa5du4ZFixbh7t27uHDhAsaPH48KFSqIlQkLC8P69esRFRWFkJAQDBgwQKLxFOX58+dISkqCk9P7qyYVK1aEg4PDJ7t4RkREiNUBACcnp2Lr5OXlITg4GG/fvkWdOkV3Z5K20m5vAKhUqRLCw8Px77//Yvv27WInK94xMzPD7du3cfPmTaxduxYmJoXPaEtaQnwC0lLTULdeXWGeoqIibGrbIOpuVLH17kXdQ92PuqHZ16uLqLv3iiyfk5OLcyHn0LJVC8jJyQnza1lbIfTqdSQnp0AkEuHfiH8R+zwWdevZf11gVGKl3Qe+VF5ePi78cwFZmVmoaVWzzJb7pXJycnAv6h4cGjYQm+/Q0AG3b90uppa4/Px8vHnzFlWqVi22zNGDR9G8VQuoqKh8VXu/hqT/vgP816K+Qz3UKaZL6resrPb77Kws5OblonKVT/fSICqKzIyRCwgIQL9+/QAA7dq1w6tXr3Dq1Cm0atUKc+fORe/evTFz5kyhfN26BX9Y9+/fx4EDB3DhwgU0btwYALB161YYGRkhKCgIPXr0+Oy6MzIykJ6ejk6dOglXdT4ch1K5cmUoKChAT0+v2GVs27YNiYmJuHbtmtAN0MJCvD90fn4+NmzYgCpVqgAA+vfvj1OnTmHu3Ll4/fo1lixZgtOnTws/ds3MzHD+/Hn4+/vD2dkZ0dHRqFevnpDEfpioRUdHw9LSEj/++CPk5ORK9IMvKyurUFeuvLw8yMvLf7bu57wbO5iWliY2Py0tDTo6OiVeTr9+/ZCSkiJ2RSYoKAiqqqpYvnw58vPzUaFCBWzfvh0XLlz46nZ/rWrVqgEAEhPFx/0kJiYK4/6KYmJigqZNm2LPnj3o1asXzM3NsXDhQigoKGDRokVCmcGDB8PPzw9LlixB/fr14e3tjaysLOzcuVNyQX0kKSkJAMS6uwKAlpaWWFfQouppaWkVqvPxVab79+9j4MCByM7OhoqKCnx8fL6Zq60fK+32vn//PkaNGoU7d+6gSpUqGD58OI4ePYpmzZrh0aNHAIDr169j5MiRePDgAXR1dfHHH38gODgYjRs3RmpqquSC+khaahqAgq69H1JTV0NSQlLx9dLSoKau/lEddWF5H7t25Spev36N5i2bi80fPPRX+K/8G8N/HQ55eXnIyclh+OjhsLap9aWhUCmVdh8oqadPojHFYwpysnOgrKIMd8+JMDI2/OrlllZ6Wjry8/KhoSk+Bl5DUwOpKSXrHrdn+25kvn0L52Kutt29cxdPHj3GH39O/Or2fg1J/n1f+OcCHj16jPmLpds7qLTKar/fumkrNDU1v8mrjvTtk4lELioqClevXsXevXsBAAoKCujVqxfWrVuHVq1aISwsDEOHDi2ybmRkJBQUFODo6CjM09LSgpWVFSIjI0u0fk1NTQwaNAht27ZF69at0apVK/Ts2VO44lMSYWFhqFevXqEftx8yNTUVkjig4MYG77pT3blzB5mZmWjdurVYnezsbNSrVzDoe8SIEfj5559x48YNtGnTBt26dROS10GDBqF169awsrJCu3bt0KlTJ7Rp8+mbAXh7e4slx0BBAmtjY1NMjeI1bdoUv/32m9iyARS6+YicnFyJb0jStWtXNGnSBF5eXmJXV5s0aYJmzZph+fLlePbsGUxNTTF48GCkpKQIVy/Li6urK5YsWSK87t27N4Avj7tChQpISkrCuHHjkJ+fj/DwcOjp6WH06NFCIlehQgWEhYVhzpw5AIBbt26hVq1a+PXXXyWayB05ckRYJ1Bw9fddTB8SiUSF5n1OUXVMTU2xY8cOvHz5EqdOncL06dOxdu3abyKZK6vtHRoaitDQ9ze/uHLlCkJCQjB06FB4enoCgNhNbiIjI3Ht2jVcv34dffr0gZ+fX5nEU5RzIefgv2q18NpzWkF7Cm1bkQj4zOYutDt8Yh85feIM6jnYQ1NL/Dv06KEjuBd1Hx5TJkFHVwd3bkdi7d9roaGhLpNn+WVBWe4DJWFQ3QCLli3Cm1evcfnSFfy1fCVmzp0p1WQOKBxaQbifD/j08dPYHLAJMxfMKpQMvhN88AhMzWqgVjmfkCivv++kxCSsX7sBU2dOQcWKFb+22eVCEvv9/r37cf7cBcyc6yUznwN9W2QikQsICEBubi6qV68uzBOJRFBUVERqauonux0U92Ppwx+IFSpUKFTu426X69evx9ixYxEcHIydO3di6tSpOHHiRInH4ZSka8THYwTk5OSErpfv/j18+LDY5wBAuKFK+/bt8fTpUxw+fBgnT57ETz/9hFGjRmHx4sWoX78+Hj9+jKNHj+LkyZPC3SI/HGP3MU9PT0yYMEFs3sCBAz8fbBGuXbsmNi5RQaFg19PQ0BC7Kqemplaim3N06dIFLi4umDVrFp4+fSr2Xv/+/REUFCRcgYuOjoaOjg5cXFzKPZELDg7G9evXhdfvtpWuri7i498PitfW1i5yDNQ78fHxyMnJEeuKe+/ePejp6UFRURE5OTmIj49HVJR4d4579+6hc+fOZRVOkZydnWFrayu8fve3k5ycLHZ1NSUl5ZMnMrS1tQtdfSuqjqKiIoyNjQEU3Pzm9u3b2L59O6ZOnfrVsXytstreHxOJRLh58+Ynk9U3b94gMjISZmZmpWh5yTVo2AAWVpbC69z/b++0tDSxH6Xp6RlQV1crVP8d9SKuvqWnp0OtiDqJCYmIiIiA+2TxqxNZWdnYtmU73D3d4dCgPgDAxNQETx49wYGgg0zkJKSs9oGSUlRUgL5+QY8Xc0tzPLz/EEcOHcGwkb99pqZkqKmroYJ8BaSkiF/5TktNhXoxidk7ISfPYIn3YkybMx31f3AoskxmZibOnAzBwCGlO95+jfL6+3708BHS09PhMWGy8H5+fj4ib0ci+HAwtu3ZBnn5b2v0T1nv9wf2HcDePfswfea0Im/0QlQS39ZfSRFyc3OxadMm+Pj4ICwsTJjCw8NhYmKCrVu3ok6dOjh16lSR9W1sbJCbmyvcVAQo+IF57949oXukjo4O4uLixJK5jx8lAAD16tWDp6cnLl68CFtbW2zbtg1AwfifvLy8T8ZRp04dhIWFIaWE3S6KikNJSQnR0dGwsLAQmz7soqWjo4NBgwZhy5YtWLZsGVavfn/2qGrVqujVqxfWrFmDnTt3IjAw8JPtUVJSQtWqVcWm0narzMzMRFxcnDDFxMQgNTVVbGyTgoICbGxsCiUjH+vSpQt+/vlnzJkzR+xuhR+2+8OEByg4QHzp1aCy8OrVKzx+/FiY7t69i7i4ODRv3lwoo6ioiCZNmuDq1avFLufKlSswMzMTi8Hc3ByxsbFC4nTlypVC3XUtLCw++TiHslCpUiUYGxsLk5mZGbS1tXH58mWhTE5ODq5fvy50eS5KnTp1xOoAwKVLlz5Z553s7OzSB1CGymp7F8XW1lYsGfxYxYoVUbNmzU+WKQsqqirQ19cTJkMjQ6hrqCMi7H335pycXNy5fQdWtYof71rTqiYiPhrcHx4WAatahcc+nTl1Bmpqaqj//2Ttnby8XOTl5qHCR3/bFeQLn5yjslNW+0BpiSAq8Rh3SVBUVERNq5q4cfW62Pwb166jtl3tYuudPn4ai+YshKfXn3BsUvxJ4LOnQpCTk41W7VqVWZtLqrz+vu3q2MFnxWIsWrZQmMwtzPGj849YtGzhN5fEAWW73+/fewB7dgViyow/YW4p/d4kJLu++Styhw4dQmpqKtzc3Ar1Q3Z1dUVAQACWLl2Kn376Cebm5ujduzdyc3Nx9OhRTJo0CZaWlujatSuGDh0Kf39/VKlSBZMnT0b16tXRtWtXAEDz5s2RmJiIhQsXwtXVFcHBwTh69Ciq/n8Q8uPHj7F69Wp06dIFBgYGiIqKwr1794QbSZiamuLx48cICwuDoaEhqlSpUuixA3369MG8efPQrVs3eHt7Q19fHzdv3oSBgUGhGzwUpUqVKpg4cSLGjx+P/Px8/Pjjj8jIyMDFixdRuXJlDBw4ENOnT4eDgwNq166NrKwsHDp0SEhWly5dCn19fdjb26NChQrYvXs39PT0oP5RH/by9O4mNe9uEuPi4oKsrCycO3dOKDNmzBgkJycLSXPXrl3Ru3dvLFu2DImJiUL7MzMzkZmZCaCgW9rPP/+MpKQkPHv2DDVq1ECnTp3EbjghTX///TcmTJiAR48e4dGjRxg/fjzevHmDwMBAoYyfnx9iY2Mxe/ZsAAVXhIcOHQpvb2+sWbMGZmZmGD9+vFiivmrVKgQHB2P8+PEICgpC/fr1MWDAAIwfP75c45OTk0Pfvn0REBAgJHcBAQFQVlYWewTE1KlToauri7FjxwIo+BsZMmQI1q9fj+bNmyMkJARXr17FunXrhDq+vr5o0qQJ9PT08Pr1axw7dgyhoaFiz1xLT09HXFyccMXr3V07tbS0hJv/lKfSbO9JkyYhNDQUDx8+RJUqVTBs2DDY2dlh0qRJQp1Zs2YhODgYMTEx0NHRwR9//IEqVapg+/bt5RqfnJwcOnbugL179kFPXx/6BnrYu2cflCoq4cdm7x+H4Lv0L2j+/1byANCxcwdM/3MGggKD8IPjD7h25Rpuhd/CbO9ZYsvPz8/HmVMhcG7hXOhEkqqqKmxsbbB5wxZUrFgR2ro6uPPvHZw9cxYDfy3/qxklpVxRCQaa78dU62nowEzPBC/fvkJievnfefRrlXYfyMnJRcyzghNNuTm5SE5OweNHT6Csoixcgdu2eRvq1a8HLW0tvH2biQvnLuD2v7cxZcaU8g/0Az/3dsWCWfNR07omrG1tcGT/YSTEJ6BTt4IeEAGr1iIpMQke0wuuOJ0+fhoLZ8/HyHGjYG1rg5T/32peSakiKn30KJLgQ0fRpGkTVFX7+quZX0tSf98qqiowNjEWW5eSshKqVKkiNv/ly1dISkwSxh6+eF7wDFH1/9/JVppK+9ns37sfO7buxO9/jIWOri5S/3/lUllZGSoqxT9+iago33wiFxAQgFatWhVK4gDg559/xrx581C1alXs3r0bs2fPxvz581G1alU0a/b+uSvr16/H77//jk6dOiE7OxvNmjXDkSNHhK6M1tbW8PPzw7x58zB79mz8/PPPmDhxovAjWVVVFXfv3sXGjRuRnJwMfX19jB49GsOGDRPasXfvXrRo0QJpaWlYv349Bg0aJNbWihUr4vjx4/jjjz/QoUMH5ObmwsbGpsiH/hZn9uzZ0NXVhbe3Nx49egR1dXXUr18ff/75p7AOT09PPHnyBCoqKmjatCl27NgBoOCGLAsWLMD9+/chLy+PH374AUeOHBG762F5CwoKQsWKFTF06FBUqlQJ9+/fF25T/462trbY1bW2bdtCUVER7u7uYsvatWsXdu3aBaBgn+nduzeGDh2KqlWrIjU1FSdOnPhkN9LytGLFCqioqGDRokXCA6JdXV3F7rxpaGgoFvfz58/h6uqKuXPn4ty5c4iNjYW/vz+WL18ulLl58yb69++P6dOnw93dHdHR0ZgyZYpU4h40aBCysrLg7e2NjIwM2NraYtWqVahU6f3tpePi4sT2P3t7e3h7e8PPzw9+fn4wMjLC/Pnzxe7WmJycjKlTpyIpKQmVK1eGpaUlVq5cKdbF+ezZs5gxY4bwevLkgh9Sw4YNw/DhwyUZdpFKs73V1NSwdOlS6OrqIiMjA7du3UKnTp3E7rxqYGCANWvWQEtLC0lJSbh+/TratGkj8SuwRenq0hXZ2dlY678Wr1+9hkVNC0ydOQUqqu+7lCclJUGuwvsrZ1bWVhg3cRx2bN2BHdt2Qk9PD+Pdx8Hyg65LAHAr/BaSEpPQslWLItc9buI4bNu0DcuXrMCrV6+go6ODPv36oE271kWW/xbUNDDD4sHThNfD2/UHABy/eRaLg/yl1ayvUpp9IDUlBZPGvz85cTDoIA4GHYSNrQ1mzvUCAKSlpcN32V9ITUmFaiVVmJiYYMqMKYXuiFjemrdqgYz0DGxZtxkpySkwNTPF3MXeqKZfcIOj5ORkJMS/7z59eP8h5OXlwddnBXx9VgjzW3dog0lTPYTXMdHP8G/4v5i/bEH5BfMZkvz7/pzQq6HwW/F+zO+yxcsAAD16u6Jnn55fF1gZKM1nc+zoceTm5sJnwRKxZX0rMZFskROx/wl9AVdXV2k3QSpOnz4t7SZIhTSSgm+BoaF0b6IgLSEXv42r1uVt4vZv50dzeVrcx+Pzhb5D6jpany/0HUpLlL2rvVR6dWp9fliCtLx580Yq61VVVZXKeiXp2+uETERERERERJ/ERI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIPuLn54caNWpAWVkZDg4OOHfu3CfLnz17Fg4ODlBWVoaZmRn+/vtvibaPiRwREREREdEHdu7ciXHjxmHKlCm4efMmmjZtivbt2yM6OrrI8o8fP0aHDh3QtGlT3Lx5E3/++SfGjh2LwMBAibVRTiQSiSS2dPruRNwNl3YTpMLC2FLaTSAiCXkQfV/aTZCKidsXSLsJUrG4j4e0myAVPI79t6iqqkq7CcV68+aNVNb7pZ+Jo6Mj6tevj1WrVgnzrK2t0a1bN3h7excq7+HhgQMHDiAyMlKYN3z4cISHh+PSpUulb/gn8IocERERERF917KyspCRkSE2ZWVlFVk2Ozsb169fR5s2bcTmt2nTBhcvXiyyzqVLlwqVb9u2LUJDQ5GTk1M2QXyEiRwREREREX3XvL29oaamJjYVdWUNAJKSkpCXl4dq1aqJza9WrRri4uKKrBMXF1dk+dzcXCQlJZVNEB9RkMhSiYiIiIiIvhGenp6YMGGC2DwlJaVP1pGTkxN7LRKJCs37XPmi5pcVJnJERERERPRdU1JS+mzi9o62tjbk5eULXX1LSEgodNXtHT09vSLLKygoQEtLq3SN/gx2rSQiIiIiIvq/ihUrwsHBASdOnBCbf+LECTRu3LjIOk5OToXKHz9+HA0aNICioqJE2slEjoiIiIiI6AMTJkzA2rVrsW7dOkRGRmL8+PGIjo7G8OHDARR01RwwYIBQfvjw4Xj69CkmTJiAyMhIrFu3DgEBAZg4caLE2siulURERERERB/o1asXkpOTMWvWLMTGxsLW1hZHjhyBiYkJACA2NlbsmXI1atTAkSNHMH78eKxcuRIGBgZYsWIFfv75Z4m1kc+Roy/C58gR0feGz5H7b+Fz5Oi/gM+RK+xb/kxKi10riYiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJEjIiIiIiKSMUzkiIiIiIiIZAwTOSIiIiIiIhnD58gREREREVG5kNYjX+rUqiuV9UoSr8gRERERERHJGCZyREREREREMoaJHBERERERkYxhIkdERERERCRjmMgRERERERHJGCZyREREREREMoaJHBERERERkYxhIkdERERERCRjmMgRERERERHJGAVpN+B7Iycn98n3Bw4ciA0bNpRPY74hIpEIu3fsxsljp/Dq9StY1rTEkGFuMDI2+mS9yxcvY8fWnYiPi0c1vWro068PHJ0aipVJTk7B1o1bcPNGGLKzsqFfXR8jRo+AuYWZUCbmWQy2bNyKO7fvQJQvgpGxEcZPGg8dHW2JxFucXbt2YePGjUhKSoK5uTkmTpyI+vXrF1k2MTERS5YsQWRkJKKjo9GnTx+4u7sXKvfy5Uv89ddfOH36NDIyMlC9enWMHz8eTZs2lXQ4AL4sJgAIDQ3FkiVL8PDhQ+jo6GDgwIHo0aOHWJmTJ0/Cz88PMTExMDQ0xOjRo9GyZUvh/evXr2PTpk24c+cOkpKSsGTJErRo0UJsGcnJyVi+fDkuXbqEV69eoX79+pg0aRJMTEzK9gP4BEls73eCg4Ph6emJ5s2bY+nSpZIKoUTKeh84deoUAgIC8OzZM+Tm5sLY2Bj9+/dHp06dhDK5ubnw9/fHkSNHkJycDG1tbXTu3BlDhw5FhQrSO0dZmu+6Z9HPsHPbTjx6+BiJCYkY5DYQHbt0FCtz7OhxHD96HIkJiQAAQ2ND9OjlinoO9SQaT1myM6mFHk06wVK/BrSqasBr+xJcvBsq7WaVmKSOYyOHjhK264fatm+DIcOHAAB6dO1Z5LL7DeyHri5dviIqcdL4PgeAhIQELF++HBcuXEBWVhaMjY0xY8YM2NjYAADq1St6Px83bhwGDhz4lVGXTFl/Njk5OVi3bh0OHTqEhIQEmJiY4Pfff0eTJk3KIxz6TvCKXBmLjY0VpmXLlqFq1api85YvXy7tJkrF/r37cWj/YbgN+xXzF3tDXV0ds6fPwds3b4utE3X3HpYuWgbnFs2wePkiOLdohqWLluJ+1H2hzKtXrzBt8jTIyyvgz+l/YulfSzBw8ABUqqQqlImLjcM0z+moblgdM+d6YfHyRfi518+oqKgo0Zg/duzYMSxatAhubm7Yvn076tWrh9GjRyM2NrbI8jk5OdDQ0ICbmxtq1qxZbJnhw4fjxYsXWLRoEfbt24dp06ZBV1dXkqEIvjSm58+fY8yYMahXrx62b9+OX3/9FQsXLsTJkyeFMuHh4Zg8eTI6duyInTt3omPHjvDw8MCtW7eEMm/fvkXNmjUxefLkItcjEokwfvx4xMTEYNmyZdi+fTv09fUxfPhwvH1b/D5XliSxvd958eIFli5dWuyPm/IkiX1ATU0NQ4YMwcaNG7Fr1y507doVXl5euHjxolBmw4YN2LNnDyZPnoy9e/fi999/x6ZNm7Bjxw6Jx/wppfmuy8rKgm61avilf1+oa6gXWUZLSxO/DOiL+T7emO/jDVs7WyyYtxDPop9JKJKyp6yohEdxT/HXkQ3SbkqpSOo45r3YG6s3rBamaTOnAgCcmjgJZT58f/WG1Rg5ZgTk5OTQqLFjmcUnre/zjIwMDBo0CAoKCvjrr78QGBiICRMmoEqVKkKZEydOiE1eXl6Qk5PDTz/9VGbxf4okPhs/Pz8EBgZi0qRJCAwMhKurK/744w/cvXu3XGKi7wMTuTKmp6cnTGpqapCTkxOb988//8DBwQHKysowMzPDzJkzkZubK9SXk5ODv78/OnXqBFVVVVhbW+PSpUt48OABmjdvjkqVKsHJyQkPHz4U6nh5ecHe3h7+/v4wMjKCqqoqevTogbS0NKFMfn4+Zs2aBUNDQygpKcHe3h7BwcHl8pmIRCIcPngELj26w9HJEcYmxhg9bhSysrNw/p/zxdY7fOAw6tjXQXfX7qhuWB3dXbvDto4tDh88LJQJCtwPLW0tjPp9JCxrWkC3mi7s6tpBT19PKLN9yw7Uc6iH/oP6oYZZDVTTqwaHBvWhpq4m0bg/tmXLFnTr1g0uLi4wMzODu7s79PT0sHv37iLLGxgYYNKkSejcuTMqV65cZJmgoCBkZGRgyZIlsLe3h4GBAerVqwcrKytJhiL40pj27NkDfX19uLu7w8zMDC4uLujatSs2bdoklNm2bRscHR3h5uaGGjVqwM3NDQ0bNsTWrVuFMj/++CNGjRpV7EE8Ojoat27dwpQpU1C7dm2YmprC09MTb9++xdGjR8v2QyiGJLY3AOTl5WHKlCkYPnw4DA0NJdX8EpPEPtCgQQO0bNkSZmZmMDIyQt++fWFpaYmbN28KZSIiIuDs7IymTZvCwMAArVu3RqNGjXDnzh2Jx1yc0n7XWVhaYMDg/mjSrAkUiznB1KBhA9RvUB8G1Q1gUN0Affv3gbKyMu59kBB86649CMeG07txIfKatJvyxSR5HFNTqwoNDXVhuh56A9X0qsHG1kYo8+H7GhrquHb1Gmrb1UY1vWplFqO0vs/Xr18PPT09zJw5E7a2tjAwMICjoyOMjN5f6dTW1habQkJC8MMPP5Tbd6AkPptDhw7Bzc0NTZs2haGhIXr27AknJyds3ry5XGKi7wMTuXJ07Ngx9OvXD2PHjsWdO3fg7++PDRs2YO7cuWLlZs+ejQEDBiAsLAy1atVC3759MWzYMHh6eiI0tKAbyujRo8XqPHjwALt27cLBgwcRHByMsLAwjBo1Snh/+fLl8PHxweLFixEREYG2bduiS5cuuH9f8j8CEuITkJaahrr16grzFBUVYVPbBlF3o4qtdy/qHura1xGbZ1+vLqLu3hNeh14Nhbm5GXwWLIHbgCFwHzcJJ4+/P+OVn5+PG6E3YGCgjzkz5sJtwBB4TvwTVy9fLcMIPy8nJweRkZFwcnISm9+oUSOEh4eXerlnz55FnTp1MH/+fPz0009wdXVFQEAA8vLyvrbJn1WamMLDw9GoUSOxeY0bN0ZkZCRycnIAFPxA/3iZTk5OX/Q5ZWdnAwAqVqwozJOXl4eioiLCwsJKvJzSktT2BoDVq1dDQ0MD3bt3/6rllAVJ7QMfEolEuHLlCp48eQIHBwdhvr29Pa5evYqnT58CAKKiohAWFibVbkml/a77Unl5+bjwzwVkZWahptWnr95S2ZDkcexDOTm5OBdyDi1btSh2qEZaWhpuhN5Ey1Yti3y/NKT5fX727FnY2NjA3d0dLVu2RO/evbF3795i25qcnIzz58+jW7duXxJiqUnqs8nJyRE7RgGAkpKS2Akros9hIleO5s6di8mTJ2PgwIEwMzND69atMXv2bPj7+4uVGzx4MHr27ImaNWvCw8MDT548wS+//IK2bdvC2toav//+O0JCQsTqZGZmYuPGjbC3t0ezZs3g6+uLHTt2IC4uDgCwePFieHh4oHfv3rCyssKCBQtgb2+PZcuWSTzutNQ0AAXdpT6kpq6GtNT04uulpUFNXf2jOurC8oCCg+vx4BPQN9DDVK8paNOuNdatWY+zp88CANLTM5CZmYmgwP2wr18XU72momGjhlg83we3/y2/M/epqanIy8uDpqam2HwtLS0kJyeXernPnz/HyZMnkZeXB19fXwwZMgSbN2/G2rVrv7bJn1WamJKTk6GlpSU2T1NTE7m5ucIV5KSkpEJlvvRzMjU1hb6+Pnx9fZGRkSGMRUhKSkJSUlKJl1NaktreYWFhCAoKwrRp0762iWVCUvsAUDD2s3HjxmjYsCHGjh0LDw8PsR9GgwcPRrt27dC9e3f88MMP6NOnD/r27Yv27duXXYBfqLTfdSX19Ek0+vXqj76ufbH67zVw95wII2PpX5X9L5DkcexD165cxevXr9G8ZfNil3n29FkoqygXGi/+NaT5ff78+XPs3r0bxsbG8PPzg6urKxYuXIiDBw8Wud6DBw9CVVW10Dg7SZHUZ+Pk5IQtW7bg6dOnyM/Px+XLl3H27NlyOUbR94M3OylH169fx7Vr18SuwOXl5SEzMxNv3ryBqmrBuK46dd6fvatWraDbhJ2dndi8zMxMZGRkoGrVqgAAY2NjsS4GTk5OyM/PR1RUFFRVVfHixYtCZ6qbNGnyyasDWVlZyMrKEpuXnZ1d6AzSx86FnIP/qtXCa89pngCKuBGMSAR8+t4wKHRCUiQSW06+KB/m5ubo278vAKCGWQ08i36GY8HH4dzSGaL8fABAA8cG6NS10//LmCLqbhROBB9H7Q+6rpSHjz8D0UfxfKn8/Hxoampi2rRpkJeXh42NDRITE7Fp0yYMGzbsa5tbImUV06fqfOkyFRUVsXjxYsycORPOzs6Ql5eHo6NjuV+tKcvt/fr1a0yZMgXTpk2DhoZGWTSvzEhiH6hUqRJ27NiBt2/f4sqVK/Dx8YGhoSEaNGgAoKCHw5EjRzBv3jyYm5sjKioKixcvho6ODrp0KbubP3xKWX7XlYRBdQMsWrYIb169xuVLV/DX8pWYOXcmkzkJKM/j2IdOnziDeg720NTSLPJ9ADh98gyaOjf97LG4NKTxfZ6fnw8bGxuMGTMGAFCrVi08fPgQu3fvRufOnQvV379/P9q3bw8lJaUvbtfXKOvPxt3dHbNnz4aLiwvk5ORgaGiILl264MCBA2XSXvpvYCJXjvLz8zFz5ky4uLgUek9ZWVn4/4djJN79wRc1L///SUpR3pX58EvmS7+EvL29MXPmTLF5w0cNw4jRI4qtAxSM5bCwshRe5/6/G0FaWho0NN//AE1Pz4D6J8apqRdx1jI9PV1sbJuGhgYMjcR/xFQ3MsTlS1cAAFWqVoW8vDyMPipjaFQdd++UXVenz9HQ0IC8vHyhs3cpKSmFzvJ9CW1tbSgoKEBeXl6YV6NGDSQlJSEnJ6fY8TZloTQxFXUGMyUlBQoKCsKZbm1t7TL5nGxsbLBz5068fPkSOTk50NTURP/+/YW7oEmSJLZ3TEwMXrx4gXHjxgnz3n0HNGjQAPv27RMbU1IeJLUPAECFChVgbGwMALCyssLjx4+xbt06IZFbtmyZcFUOACwtLREbG4v169eXWyJXVt91JaWoqAD9/4//Nbc0x8P7D3Hk0BEMG/nbVy+bxJXnceydxIREREREwH3yxGKXF3k7Ei+ev8B493EljKRkpPl9rq2tDTMzM7EyNWrUwKlTpwqt88aNG3jy5Anmz59f8uC+kqQ+G01NTSxduhRZWVlIT0+Hjo4OVqxYAQMDA8kEQt8ldq0sR/Xr10dUVBQsLCwKTV97u+zo6Gi8ePFCeH3p0iVUqFABNWvWRNWqVWFgYIDz58UHZF+8eBHW1tbFLtPT0xPp6elik9tvbp9ti4qqCvT19YTJ0MgQ6hrqiAiLEMrk5OTizu07sKpV/E05alrVRET4LbF54WERsKr1fkyIlbWVWNwAEPv8BXR0dAAU/PAxtzDH8+fiZV48j4W2bvk9ekBRURHW1ta4fPmy2PzLly+jbt26xdT6PHt7ezx79kwsqY+Ojoa2trZEkzigdDHVrVu3UPlLly7B2tpaaG+dOnWKLFPaz6lKlSrQ1NTE06dPcefOHTRv3rxUy/kSktjepqam2L17N3bs2CFMzs7O+OGHH7Bjxw7o6el9fiFlTFL7QFFEIpEw9hEo6E7+8YmoChUqfPIEV1krq++60hJBVOS4Qvp65Xkce+fMqTNQU1ND/QbF39L+1MnTMDM3g2kN0y8P6hOk+X1ub28vjHV9Jzo6Gvr6+oXWGRQUBGtr63K7oRcg+e85JSUl6OrqIjc3F6dOnSqXYxR9P5jIlaPp06dj06ZN8PLywu3btxEZGYmdO3di6tSpX71sZWVlDBw4EOHh4Th37hzGjh2Lnj17Cj/u3N3dsWDBAuzcuRNRUVGYPHkywsLC8Pvvvxe7TCUlJVStWlVsKk1XDjk5OXTs3AF79+zDlUtXEf00GitXrIRSRSX82OxHoZzv0r+wddM24XXHzh0QfjMcQYFBeB7zHEGBQbgVfgsdO79/vlKnLh1xP+o+9u7ei9jYOJw7ex4nj59Cuw5thTJdunfBxfMXcfL4ScTGxuHo4WBcv3Ydbdu/L1Me+vXrh3379iEoKAiPHj3C4sWLERcXB1dXVwDAihUrCu0LUVFRiIqKwps3b5CamoqoqCixO5b26NED6enpWLhwIZ4+fYpz584hICAAvXr1+iZjcnV1RWxsLBYvXoxHjx4hKCgIQUFBGDBggFCmT58+uHz5MtavX4/Hjx9j/fr1uHr1Kn755RehzJs3b4TPBigYYxEVFSV2K+gTJ04gNDQUMTExOHPmDEaMGIHmzZsXGrAuKWW9vZWUlAqdAKpSpQpUVVVhYWEh8cS9OJLYBwICAnD58mXExMTg8ePH2Lx5Mw4fPowOHToIZZo1a4aAgACcO3cOL168wOnTp7Fly5ZyGzdTlNJ+1+Xk5OLxoyd4/OgJcnNykZycgsePniA2Nk4os23zNkTejkRCfAKePonGts3bcfvf22jqXD7PiywLyhWVYKZnAjO9gmc56mnowEzPBDpqWp+pKX2SPI4BBVfXz5wKgXMLZ7EeFh968+YNLl+4jJ9aS2Yfl9b3eb9+/XDr1i0EBAQgOjoaR48eRWBgYKHj2KtXr3DixAmp3OhJEp/NrVu3cOrUKcTExODGjRsYPXo08vPzMWjQoPIOj2QYu1aWo7Zt2+LQoUOYNWsWFi5cCEVFRdSqVQtDhgz56mVbWFjAxcUFHTp0QEpKCjp06AA/Pz/h/bFjxyIjIwN//PEHEhISYGNjgwMHDsDS0vITSy07XV26Ijs7G2v91+L1q9ewqGmBqTOnQEVVRSiTlJQEuQrvz7BbWVth3MRx2LF1B3Zs2wk9PT2Mdx8Hyw+6u1hYWsDdcyK2bt6GPTsDoVtNF4OGDETT5u9/3Dg6NcRvI4Zi354grFuzHgbVDTBx8h+wtqlVLrG/07ZtW6Snp2P16tVISkqChYUFfH19hW4USUlJws1p3undu7fw/8jISBw9ehT6+vo4cuQIgILHXfj5+cHHxwc9e/aErq4u+vbtW24Hgi+NqXr16vD19YWPjw927doFHR0dTJo0Ca1atRLK2Nvbw9vbG35+fvDz84ORkRHmz58vNk70zp07GDp0qPDax8cHANC5c2fMmjULQMEDtn18fISHRXfq1Am//VZ+XdAksb2/RZLYBzIzMzFv3jwkJCRASUkJpqammDNnDtq2fX/yxcPDA35+fpg3bx5SU1Oho6MDV1fXct3GRSnNd11qSgomjZ8kvD4YdBAHgw7CxtYGM+d6AQDS0tLhu+wvpKakQrWSKkxMTDBlxpRCd0T8ltU0MMPiwe9v1DO8XX8AwPGbZ7E4yL+4at8MSR3HAOBW+C0kJSahZasWxa7/wrmLEIlEaPJB4liWpPV9Xrt2bfj4+MDX1xerV69G9erV4e7uLnbiBigYFwtA6E5dniTx2WRlZWHlypV4/vw5VFVV0aRJE8yePVvs+XlEnyMnEolE0m4EfR0vLy8EBQWVy23VI+5+3a3TZZWFcfkkvERU/h5Ey86z2MrSxO0LpN0EqVjcx0PaTZAKHsf+W97dQO9bJK3fknVqlX4oy7eKXSuJiIiIiIhkDBM5IiIiIiIiGcNE7jvg5eVVLt0qiYiIiIjo28BEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxciKRSCTtRpDscHV1lXYTqBxt2rRJ2k2QCkNDQ2k3QSpCLp6RdhOkQl1HS9pNkIq0xGRpN0EqJm5fIO0mSMXiPh7SboJUzJo6W9pNkIo9e/ZIuwnFirgbLpX11qlVVyrrlSRekSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiIiGcNEjoiIiIiISMYwkSMiIiIiIpIxTOSIiIiIiIhkDBM5IiIiIiKiUkpNTUX//v2hpqYGNTU19O/fH2lpacWWz8nJgYeHB+zs7FCpUiUYGBhgwIABePHixRetl4kcERERERFRKfXt2xdhYWEIDg5GcHAwwsLC0L9//2LLv3nzBjdu3MC0adNw48YN7N27F/fu3UOXLl2+aL0KX9twIiIiIiKi/6LIyEgEBwfj8uXLcHR0BACsWbMGTk5OiIqKgpWVVaE6ampqOHHihNg8X19fNGzYENHR0TA2Ni7RupnIERERERHRdy0rKwtZWVli85SUlKCkpPRVy7106RLU1NSEJA4AGjVqBDU1NVy8eLHIRK4o6enpkJOTg7q6eonXza6VRERERET0XfP29hbGsL2bvL29v3q5cXFx0NXVLTRfV1cXcXFxJVpGZmYmJk+ejL59+6Jq1aolXjcTOSIiIiIi+q55enoiPT1dbPL09Cy2vJeXF+Tk5D45hYaGAgDk5OQK1ReJREXO/1hOTg569+6N/Px8+Pn5fVFM7FpJRERERETftS/tRjl69Gj07t37k2VMTU0RERGB+Pj4Qu8lJiaiWrVqn6yfk5ODnj174vHjxzh9+vQXXY0DmMgRERERERGJ0dbWhra29mfLOTk5IT09HVevXkXDhg0BAFeuXEF6ejoaN25cbL13Sdz9+/dx5swZaGlpfXEb2bWSiIiIiIioFKytrdGuXTsMHToUly9fxuXLlzF06FB06tRJ7EYntWrVwr59+wAAubm5cHV1RWhoKLZu3Yq8vDzExcUhLi4O2dnZJV43EzkiIiIiIqJS2rp1K+zs7NCmTRu0adMGderUwebNm8XKREVFIT09HQAQExODAwcOICYmBvb29tDX1xemixcvlni97FpJRERERERUSpqamtiyZcsny4hEIuH/pqamYq9Li1fkiIiIiIiIZAwTOSIiIiIiIhnDRI6IiIiIiEjGMJGTIjk5OQQFBUm7GUREREREJGO+6GYngwYNQlpaWpkkH6amphg3bhzGjRv31cuSpidPnqBGjRq4efMm7O3tpd0cmdOzZ0+0atUKlSpVwoMHD7BmzRrExMQUW97R0REuLi7Q09ODvLw8YmNjcfDgQfzzzz9Cme7du8PR0RHVq1dHdnY2oqKisGXLFrx48aI8QioRScRtbW2Nrl27wszMDJqamliwYAGuXbtW5m3ftWsXNm7ciKSkJJibm2PixImoX79+seVDQ0OxZMkSPHz4EDo6Ohg4cCB69OghVubkyZPw8/NDTEwMDA0NMXr0aLRs2fKL1luvXr0i1z9u3DgMHDgQADBkyBBcv35d7P02bdpgwYIFX/QZfCkPDw8MGDAA6urquH79OiZNmoS7d+8WW75Pnz5YuXJlofn6+vrIysoSlunh4SH2fnx8PKytrcu28aUkEomwe8dunDx2Cq9ev4JlTUsMGeYGI2OjYus8i36Gndt24tHDx0hMSMQgt4Ho2KWjWJk7t+/gwL4DePTgMVJTU+HuORENGzWUdDglciBwP3Zv24Xk5GSY1jDFiN9Hws6+TpFlz4Wcw6F9B/Dw/kPkZOfApIYJ+rsNxA+NfhDK/DFqAiJuhheq29DJEXN95kksjs8pzbYFgMsXL2PH1p2Ij4tHNb1q6NOvDxyd3m+7kUNHITEhsVC9tu3bYMjwIQCAHl17FrnsfgP7oatLl6+ISnLsTGqhR5NOsNSvAa2qGvDavgQX74ZKu1lfRVL7AAAkJ6dg68YtuHkjDNlZ2dCvro8Ro0fA3MJMkiGV2Jcev1u1agVnZ2cYGRV8No8ePcK2bdvw4MEDoYyfnx90dXUL1Q0ODsbatWvLPgj6bnzTd63My8uDnJwcKlTghcPvUbdu3dCpUyesXLkSL168gKurK6ZPn46xY8ciMzOzyDqvXr1CYGAgnj9/jtzcXDg4OGDUqFFIT09HeHjBDx4bGxsEBwfjwYMHkJeXR9++fTFt2jSMGzdO+BEsTZKKW1lZGU+ePMGZM2fg7u4ukbYfO3YMixYtgqenJ+zt7REYGIjRo0cjMDAQ+vr6hco/f/4cY8aMgYuLC+bMmYOwsDB4e3tDQ0MDrVq1AgCEh4dj8uTJGDFiBFq2bInTp0/Dw8MD69atg52dXYnXe+LECbF1X7hwATNnzsRPP/0kNt/FxQUjRowQXispKZXpZ/SxsWPHYuTIkRg1ahQePnyIP/74A4GBgXB0dMSrV6+KrZeRkSE8WPSdj/ffyMhIdO/eXXidl5dXto3/Cvv37seh/Ycx6veR0DfQR+CuvZg9fQ6W+y2DiqpKkXWysrKgW60anBo7YcO6jUWXycyCiakpWvzUAovn+0gyhC8ScvIMVi33w5iJY1G7ji0OBx3Cn394ImDrOujqVStU/lZYBOr/4IBfh7mhUpXKOHY4GNMnTYXvmr9gYWUJAJjh7YXcnFyhTkZ6BoYNHIpmLZuVW1xFKc22jbp7D0sXLUPvX3qhYaOGuHr5KpYuWorZ3rNg+f94vRd7Iz8/X6jz7Gk0Zs+YA6cmTsK81RtWiy037PpNrPrrbzRq7CiBSMuGsqISHsU9xbGbZzGj93hpN6dMSGofePXqFaZNnobatrXx5/Q/oaZWFfFx8ahUSbU8wytWaY7ftWvXxvnz5xEVFYXs7Gx069YN06ZNw/jx45GSkgIAmDx5sthvXSMjI8yYMQOXLl0ql7hIdpU6Q2revDnGjh2LSZMmQVNTE3p6evDy8hIr4+XlBWNjYygpKcHAwABjx44V6j59+hTjx4+HnJwc5OTkAAAbNmyAuro6Dh06BBsbGygpKeHp06do3rx5oSt33bp1w6BBg4TXpqammDNnDgYMGIDKlSvDxMQE+/fvR2JiIrp27YrKlSvDzs4OoaHiZ8EuXryIZs2aQUVFBUZGRhg7dixev34tttx58+bh119/RZUqVWBsbIzVq98fSGrUqAGg4GqAnJwcmjdvDgC4du0aWrduDW1tbaipqcHZ2Rk3btwo9vN88uQJ5OTksHfvXrRo0QKqqqqoW7duoT/iz7XXz88PlpaWUFZWRrVq1eDq6iq8t2fPHtjZ2UFFRQVaWlpo1aqVWN3y1rFjR+zduxdXrlzBs2fP4OvrCyUlJTRt2rTYOrdv38bVq1fx/PlzxMfH48iRI3j69KnYVYi5c+ciJCQEMTExePr0KVauXAkdHR2YmX0bZ/MkFffNmzexY8cOXLlyRWJt37JlC7p16wYXFxeYmZnB3d0denp62L17d5Hl9+zZA319fbi7u8PMzAwuLi7o2rUrNm3aJJTZtm0bHB0d4ebmhho1asDNzQ0NGzbE1q1bv2i92traYlNISAh++OEHGBoairVJWVlZrFyVKlXK+FMSN3z4cPj4+ODQoUOIjIzEyJEjoaqqip9//vmT9UQiERISEsSmj+Xm5oq9n5ycLKkwvohIJMLhg0fg0qM7HJ0cYWxijNHjRiErOwvn/zlfbD0LSwsMGNwfTZo1gaKiYpFl6jnUQ59+veHo9G39cA/csQftOrdHhy4dYWJqgpHjRkFHVxcH9x0ssvzIcaPQq19vWNnUgqGRIdyGD0F1o+q4dOH9d37VqlWhqaUpTDeuXYeykjKatXQur7AKKe22PXzgMOrY10F31+6oblgd3V27w7aOLQ4fPCyUUVOrCg0NdWG6HnoD1fSqwcbWRijz4fsaGuq4dvUaatvVRrUikuVvxbUH4dhwejcuRJZ9DwlpkOQ+EBS4H1raWhj1+0hY1rSAbjVd2NW1g56+XnmE9lmlOX4vX74cx44dw5MnT/DixQv8/fffkJOTE05UAgUn7tLS0oTJwcEBsbGxuH37dnmERTLsqy51bdy4EZUqVcKVK1ewcOFCzJo1SzgrvmfPHixduhT+/v64f/8+goKChJ127969MDQ0xKxZsxAbG4vY2FhhmW/evIG3tzfWrl2L27dvF3mpuThLly5FkyZNcPPmTXTs2BH9+/fHgAED0K9fP9y4cQMWFhYYMGCA8NyGW7duoW3btnBxcUFERAR27tyJ8+fPY/To0WLL9fHxQYMGDXDz5k2MHDkSI0aMELpFXb16FUBB17DY2Fjs3bsXAPDy5UsMHDgQ586dw+XLl2FpaYkOHTrg5cuXn4xhypQpmDhxIsLCwlCzZk306dMHubm5JWpvaGgoxo4di1mzZiEqKgrBwcFo1qzgzG1sbCz69OmDX3/9FZGRkQgJCYGLi0uZPMOiNHR1daGhoSFcTQIKfpTeuXMHVlZWJV6OnZ0dDAwMcOfOnWLLqKoWnMn71NWP8lKecZe1nJwcREZGwsnJSWx+o0aNxOL5UHh4OBo1aiQ2r3HjxoiMjEROTg4AICIiotAynZychGWWZr3Jyck4f/48unXrVui9I0eOoEWLFvj555+xZMkSiZ7MMDExgZ6eHs6cOSPMy87OxoULFwpdbftYpUqVEB4ejn///Rfbt28XO+i/Y2Zmhtu3b+PmzZtYu3YtTExMyjyG0kiIT0Baahrq1qsrzFNUVIRNbRtE3Y2SYsskIycnB/ei7sGhYQOx+Q4NHXD7Vsl+iOXn5+PNm7eoUrVqsWWOHjyK5q1aQEWl6Cse5aG02/Ze1D3U/aibqX29uoi6e6/I8jk5uTgXcg4tW7UQTvZ+LC0tDTdCb6Jlq5ZFvk+SIcl9IPRqKMzNzeCzYAncBgyB+7hJOHn8ZNkHUQpldfyuWLEi5OXli/1NoqCggGbNmokdN4iK81VdK+vUqYMZM2YAACwtLfHXX3/h1KlTaN26NaKjo6Gnp4dWrVpBUVERxsbGwg8XTU1NyMvLo0qVKtDTEz/LkpOTAz8/P9StW7fQ+j6nQ4cOGDZsGABg+vTpWLVqFX744QdhPI6HhwecnJwQHx8PPT09LFq0CH379hWu9llaWmLFihVwdnbGqlWroKysLCx35MiRwjKWLl2KkJAQ1KpVCzo6OgAALS0tsVg+Ht/j7+8PDQ0NnD17Fp06dSo2hokTJ6Jjx4IxITNnzkTt2rXx4MED1KpV67PtjY6ORqVKldCpUydUqVIFJiYmwrih2NhY5ObmwsXFRfixV9QPww9lZWUV6sqVl5cHeXn5T9YrCQ0NDQAFB+IPpaWlCZ9pcVRVVeHv7w9FRUXk5+dj7dq1iIiIKLb8wIEDERkZiWfPnn11u79WecZd1lJTU5GXlwdNTU2x+VpaWsVeCUpOToaWlpbYPE1NTeTm5goxJyUlFSrz4TJLs96DBw9CVVW10N9hhw4dYGBgAG1tbTx48AC+vr64d+8e/v77789/AKVQrVrBVYLERPFxP4mJicJ4iaLcv38fo0aNwp07d1ClShUMHz4cR48eRbNmzfDo0SMAwPXr1zFy5Eg8ePAAurq6+OOPPxAcHIzGjRsjNTVVIvGUVFpqGgBATU1NbL6auhqSEpKk0CLJSk9LR35ePjQ0NcTma2hqIPX/Xac+Z8/23ch8+xbOxVxtu3vnLp48eow//pz41e39GqXdtmlpaVBTV/+ojrqwvI9du3IVr1+/RvOWzYtd5tnTZ6GsolxojBVJliT3gYT4BBwPPoFOXTvCpUd3PLj3AOvWrIeigmKxfxvl5WuO3x/q168fUlJSij1+//DDD6hUqRITOSqRr07kPqSvry90/+nRoweWLVsGMzMztGvXDh06dEDnzp2hoPDpVVasWLHQckvTnnc/oD5MVt7NS0hIgJ6eHq5fv44HDx6IdeESiUTIz8/H48ePhW5rHy5XTk4Oenp6RXZz+lBCQgKmT5+O06dPIz4+Hnl5eXjz5g2io6NLHMO7sT8JCQmoVavWZ9vbunVrmJiYCJ95u3bt0L17d6Gb5k8//QQ7Ozu0bdsWbdq0gaurq/DFVBRvb2/MnDlTbJ61tTVsbGyKqVG8pk2b4rfffhNb9rv2f0hOTu6zVwnfvn0Ld3d3KCsrw87ODgMHDkR8fHyRXRCGDBkCExMTTJ069YvbXBakFbckfXx2XCQSFXvG/EuW87llfsl69+/fj/bt2xca/+bi4iL838LCAsbGxvjll18QGRlZJjcJcXV1xZIlS4TXvXv3Ftr6oc9t79DQULFu4FeuXEFISAiGDh0KT09PAAW9AN6JjIzEtWvXcP36dfTp0wd+fn5fHcuXOBdyDv6r3nc595xW0MZC20ckAr58V5EZH4dWEO7nAz59/DQ2B2zCzAWzCiWD7wQfPAJTsxqoZVOrDFpacmW5bQv9uX7ib/j0iTOo52APTS3NIt8HgNMnz6Cpc1NUrFjx0yumr1Ke+0C+KB/m5ubo278vAKCGWQ08i36GY8HHyz2RK8vj9ztdu3ZFkyZN4OXlJfRK+dhPP/2EmzdvSv2EnCTNmjpbKuvds2ePVNYrSV+VyH08hkFOTk4YqGxkZISoqCicOHECJ0+exMiRI7Fo0SKcPXu22LEPAKCiolLoy6FChQqF/kiK+gP4cLnvllHUvHdtzM/Px7Bhw4Sxex8yNjYuUZzFGTRoEBITE7Fs2TKYmJhASUkJTk5OyM7O/mS9r2lvxYoVcePGDYSEhOD48eOYPn06vLy8cO3aNairq+PEiRO4ePEijh8/Dl9fX0yZMgVXrlwRxvl9zNPTExMmTBCb9+7uf1/q2rVruH//vvD6XUKvoaEhdnZLTU0N6enpn1yWSCRCXFwcgIKxhdWrV0f37t0LJTS//vorGjRogOnTpwsDisubNOKWFA0NDcjLyxe6CpaSklLoatk7RV01S0lJgYKCgnA2V1tb+5PL/NL13rhxA0+ePMH8+fM/G5O1tTUUFBQQHR1dJolccHCw2F0x3yWSurq6iI+PF+Zra2t/9mTQh0QiEW7evAlzc/Niy7x58waRkZFSGQvaoGED4QYdAJD7/+/ntLQ0scQkPT0D6upqherLOjV1NVSQr4CUFPEfXmmpqVAvJjF7J+TkGSzxXoxpc6aj/g8ORZbJzMzEmZMhGDikdN+/X6Ostq16EVff0tPToVZEncSERERERMB9cvFXHyNvR+LF8xcY7z6uhJFQaZXnPqChoQFDI/FxzdWNDHH5kuTGfhenLI/fANClSxe4uLhg1qxZePr0aZFltLW1YWdnh8WLF39d4+k/Q6K3g1RRUUGXLl2wYsUKhISE4NKlS7h16xaAgitvJb3Dmo6Ojtg4ury8PPz7779f3b769evj9u3bsLCwKDSV9Azfu3Ifx3Lu3DmMHTsWHTp0QO3ataGkpISkpK/rUlSS9iooKKBVq1ZYuHAhIiIi8OTJE5w+fRpAQWLYpEkTzJw5Ezdv3kTFihWxb9++YtenpKSEqlWrik2l7VaZmZmJuLg4YYqJiUFqaqrYFUgFBQXY2NggKurLxtDIyckVSrbd3Nzg6OgILy+vL/rBXNbKO25JUlRUhLW1NS5fviw2//Lly8V2ha5bt26h8pcuXYK1tbXQ9jp16hRZ5t0yv3S9QUFBsLa2LtGYhYcPHyI3Nxfa2tqfLVsSr169wuPHj4Xp7t27iIuLE26CBBTE06RJE2F8bUnZ2tqKJYMfq1ixImrWrPnJMpKioqoCfX09YTI0MoS6hjoiwt53HcrJycWd23dgVavkY0lkhaKiImpa1cSNq+KPtrhx7Tpq29Uutt7p46exaM5CeHr9CccmjYotd/ZUCHJystGqXasya3NJldW2rWlVExHht8TmhYdFwKpWzUJlz5w6AzU1NdRvUPxjTU6dPA0zczOY1jD98qDoi5TnPmBlbVXoUUGxz198UdfFslKWx+8uXbrg559/xpw5c/Dw4cNiy7Vs2RIZGRmFHpNDVByJJXIbNmxAQEAA/v33Xzx69AibN2+GioqKMD7L1NQU//zzD54/f/7ZBKdly5Y4fPgwDh8+jLt372LkyJGF+iiXhoeHBy5duoRRo0YhLCwM9+/fx4EDBzBmzJgSL0NXVxcqKioIDg5GfHy8cFbGwsICmzdvRmRkJK5cuYJffvnlqweof669hw4dwooVKxAWFoanT59i06ZNyM/Ph5WVFa5cuYJ58+YhNDQU0dHR2Lt3LxITE6X6zKnDhw/DxcUFDRs2hJGREUaNGoWsrCycO3dOKDNmzBj07dtXeN29e3fUqVMHurq6MDAwQKdOneDs7Cz2PLUhQ4agWbNmWL58OTIzM6Gurg51dfVvpvuNpOJWVlaGqakpTE1NARR0JTY1NS2zJAUo6Nu/b98+BAUF4dGjR1i8eDHi4uKEu6OuWLFCrBurq6srYmNjsXjxYjx69AhBQUEICgrCgAEDhDJ9+vTB5cuXsX79ejx+/Bjr16/H1atX8csvv5R4ve+8evUKJ06cELsl/zvPnj2Dv78/bt++jRcvXuDcuXOYNGkSatWqJdFnQP7999+YMGECOnbsCGtra6xcuRJv3rxBYGCgUMbPzw/Tpk0TXk+aNAktW7aEiYkJbG1t4evrCzs7O6xfv14oM2vWLDRu3BjGxsZwcHDAhg0bUKVKFWzfvl1isZSUnJwcOnbugL179uHKpauIfhqNlStWQqmiEn5s9qNQznfpX9i6aZvwOicnF48fPcHjR0+Qm5OL5OQUPH70BLGxcUKZt28zhTJAwZiax4+eIDFRumPvfu7tiqMHjyD40FE8ffIUq5b7ISE+AZ26dQYABKxaiwWz3l8lPn38NBbOno9hY4bD2tYGKckpSElOwesiboAQfOgomjRtgqpq0r+aWdpt27FzB4TfDEdQYBCexzxHUGAQboXfQsfO4s8JzM/Px5lTIXBu4VzsicM3b97g8oXL+Km1bNzkRLmiEsz0TGCmV/D7R09DB2Z6JtBR0/pMzW+TJPeBTl064n7UfezdvRexsXE4d/Y8Th4/hXYd2pZrjMUpzfG7a9euQpf3xMRE4TfJu/swvCMnJ4cWLVogJCTks72+iN6R2HPk1NXVMX/+fEyYMAF5eXmws7PDwYMHhZsazJo1C8OGDYO5uTmysrI+2b/4119/RXh4OAYMGAAFBQWMHz8eLVq0+Oo21qlTB2fPnsWUKVPQtGlTiEQimJubo1evXiVehoKCAlasWIFZs2Zh+vTpaNq0KUJCQrBu3Tr89ttvqFevHoyNjTFv3jxMnPh1g9Q/1151dXXs3bsXXl5eyMzMhKWlJbZv347atWsjMjIS//zzD5YtW4aMjAyYmJjAx8cH7du3/6o2fY2goCBUrFgRQ4cORaVKlXD//n3Mnj1b7Fks2traYl9oSkpKGDp0KDQ1NZGdnY0XL15gxYoVuHjxolCmXbt2AAr2sQ/99ddfCAkJkWxQJSCpuM3NzcXGNL57PMeZM2eKfLh0abRt2xbp6elYvXo1kpKSYGFhAV9fXxgYGAAAkpKShO6fAFC9enX4+vrCx8cHu3btgo6ODiZNmiQ8Qw4A7O3t4e3tDT8/P/j5+cHIyAjz588XG9/6ufW+c+zYMQDv94EPKSoq4urVq9i+fTvevHkDPT09/Pjjjxg2bFiZ3MCnOCtWrICKigoWLVokPBDc1dVV7I5lhoaGYttbTU0NS5cuha6uLjIyMnDr1i106tRJ7BEmBgYGWLNmDbS0tJCUlITr16+jTZs2n3wwbXnq6tIV2dnZWOu/Fq9fvYZFTQtMnTlF7BlTSUlJkKvwvit9akoKJo2fJLw+GHQQB4MOwsbWBjPnegEAHj14CK+p7/fzjesKHmXh3NIZo38fJeGoite8VQtkpGdgy7rNSElOgamZKeYu9kY1/YKx2cnJyUiIf9874PD+Q8jLy4Ovzwr4+qwQ5rfu0AaTpr5/0HtM9DP8G/4v5i+T7EPrv0Rptq2VtRXGTRyHHVt3YMe2ndDT08N493HC88PeuRV+C0mJSWjZqvhj/IVzFyESidDkg6ThW1bTwAyLB78/UTO8XX8AwPGbZ7E4yF9azfoqktoHLCwt4O45EVs3b8OenYHQraaLQUMGomnz4m/vX55Kc/xu27YtFBUVCz3fddeuXdi1a5fwuk6dOtDR0RF6URGVhJxIWvefJ5n08RUQp9ommQAAcYBJREFU+r59+Ly3/5KPnz33XxFy8b95lzR1Hdm8MvK10hK/jecOlreJ27+dpLg8Le7j8flC3yFp3VhD2r7lG3tI67fkt/yZlJZEx8gRERERERFR2WMiR0REREREJGOYyBEREREREckYJnJEREREREQyhokcERERERGRjGEiR0REREREJGOYyBEREREREckYJnJEREREREQyhokcERERERGRjGEiR0REREREJGOYyBEREREREckYJnJEREREREQyhokcERERERGRjGEiR0REREREJGOYyBEREREREckYJnJEREREREQyhokcERERERGRjGEiR0REREREJGOYyBEREREREckYJnJEREREREQyhokcERERERGRjGEiR0REREREJGOYyBEREREREckYJnJEREREREQyhokcERERERGRjFGQdgNItkyfM03aTZAKdR0taTeBylFMTIy0m0Dl6EH0fWk3QSosjC2l3QSpWNzHQ9pNkIqJ2xdIuwlSEbRpk7SbQCQxvCJHREREREQkY5jIERERERERyRgmckRERERERDKGiRwREREREZGMYSJHREREREQkY5jIERERERERyRgmckRERERERDKGiRwREREREZGMYSJHREREREQkY5jIERERERERyRgmckRERERERDKGiRwREREREZGMYSJHREREREQkY5jIERERERERyRgmckRERERERDKGiRwREREREZGMYSJHREREREQkY5jIERERERERyRgmckRERERERDKGiRwREREREZGMYSJHREREREQkY5jIERERERERyRgmckRERERERKWUmpqK/v37Q01NDWpqaujfvz/S0tJKXH/YsGGQk5PDsmXLvmi9TOS+gpycHIKCgqTdDCIiIiIikpK+ffsiLCwMwcHBCA4ORlhYGPr371+iukFBQbhy5QoMDAy+eL0KX1zjP2bQoEFIS0srMmGLjY2FhoZG+TdKBolEIuzesRsnj53Cq9evYFnTEkOGucHI2OiT9S5fvIwdW3ciPi4e1fSqoU+/PnB0aii8n5eXh13bd+Pc2XNIS0uDhoYGmrdsjp97uqBChcLnKfz9VuPksZMY5DYQHbt0LPM4P+dA4H7s3rYLycnJMK1hihG/j4SdfZ0iyyYnJcPf92/cj7qH58+eo1uP7hg5bpRYmT9GTUDEzfBCdRs6OWKuzzyJxFASIpEI/v7+CAwMxMuXL2FrawtPT0+Ym5t/st7Jkyfh5+eHmJgYGBoaYvTo0WjZsqXw/vXr17Fp0ybcuXMHSUlJWLJkCVq0aCG2jFOnTiEwMBCRkZFIS0vDjh07YGVlJZE4P7Zr1y5s3LgRSUlJMDc3x8SJE1G/fv1iy4eGhmLJkiV4+PAhdHR0MHDgQPTo0UOszNatW7F7927ExcVBXV0drVq1wpgxY6CkpAQA6NChA2JjYwstu2fPnvD09CzbAIshjbj//vtv+Pv7i9XR0tLCyZMnyz7AYkjqe+1D+/bsw7bN29GhcwcMHjJImH/l0hWcCD6JRw8f4eXLl1i4dCFqmJmWYXQFJLFtP/d3DgAJCQlYvnw5Lly4gKysLBgbG2PGjBmwsbEBANSrV6/I9Y8bNw4DBw78yqhLTpL7QHJyCrZu3IKbN8KQnZUN/er6GDF6BMwtzCQZUpmxM6mFHk06wVK/BrSqasBr+xJcvBsq7WaVWFnv+6dOnUJAQACePXuG3NxcGBsbo3///ujUqZNQJiAgAKdPn8aTJ0+gpKSEunXr4vfff4epqakkQ6WvFBkZieDgYFy+fBmOjo4AgDVr1sDJyQlRUVGf/A3y/PlzjB49GseOHUPHjl/+u5RX5L6Cnp6e8KOCPm3/3v04tP8w3Ib9ivmLvaGuro7Z0+fg7Zu3xdaJunsPSxctg3OLZli8fBGcWzTD0kVLcT/qvlAmKHA/TgSfgNswNyz7ayn6DeyHA/sO4Ojh4ELLu3r5Ku7fuw8NTekk3yEnz2DVcj/0GdgXqzb4w7auHf78wxMJcfFFls/JyYGauhr6DvwFZhZFJ0AzvL2w8+BuYVqzJQAV5CugWctmkgzlszZs2IAtW7Zg8uTJ2LJlC7S0tDB8+HC8fv262Drh4eGYPHkyOnbsiJ07d6Jjx47w8PDArVu3hDJv375FzZo1MXny5GKX8/btW9StWxdjxowp05g+59ixY1i0aBHc3Nywfft21KtXD6NHjy4yyQIKvrzHjBmDevXqYfv27fj111+xcOFCsUTkyJEjWLFiBYYNG4a9e/dixowZOHbsGHx9fYUyW7ZswYkTJ4Rp1apVAIDWrVtLNuD/k1bcAGBubi4W+65duyQa68ck9b32zoP7D3Di2EmYmJoUei8zMwtW1lb4ZUDfMo3pQ5LYtiX5O8/IyMCgQYOgoKCAv/76C4GBgZgwYQKqVKkilPlwu584cQJeXl6Qk5PDTz/9JLHPoyiS2gdevXqFaZOnQV5eAX9O/xNL/1qCgYMHoFIl1fIIq0woKyrhUdxT/HVkg7Sb8sUkse+rqalhyJAh2LhxI3bt2oWuXbvCy8sLFy9eFMrcuHEDvXr1wqZNm7Bq1Srk5eVhxIgRePu2+P2JSi4rKwsZGRliU1ZW1lcv99KlS1BTUxOSOABo1KgR1NTUxLbvx/Lz89G/f3+4u7ujdu3apVo3E7mv8GHXSicnp0I/LhMTE6GoqIgzZ84AALKzszFp0iRUr14dlSpVgqOjI0JCQoTyGzZsgLq6Oo4dOwZra2tUrlwZ7dq1K/TFsX79elhbW0NZWRm1atWCn5+f8F52djZGjx4NfX19KCsrw9TUFN7e3sL7Xl5eMDY2hpKSEgwMDDB27Ngy/lQKE4lEOHzwCFx6dIejkyOMTYwxetwoZGVn4fw/54utd/jAYdSxr4Purt1R3bA6urt2h20dWxw+eFgocy/qHho4NoBDg/rQraYLpyaNULdeHTx88FBsWcnJKQhYvQ6/TxgLBQXpXIgO3LEH7Tq3R4cuHWFiaoKR40ZBR1cXB/cdLLK8nr4eRo0fjdbt26BS5UpFlqlatSo0tTSF6ca161BWUkazls6SDOWTRCIRtm3bBjc3N/z000+wsLDA7NmzkZmZiaNHjxZbb9u2bXB0dISbmxtq1KgBNzc3NGzYEFu3bhXK/Pjjjxg1atQnf6x16tQJw4YNQ6NGjco0rs/ZsmULunXrBhcXF5iZmcHd3R16enrYvXt3keX37NkDfX19uLu7w8zMDC4uLujatSs2bdoklImIiIC9vT3at28PAwMDODk5oV27drhz545QRlNTE9ra2sJ07tw5GBkZwcHBQeIxA9KLGwDk5eXFYtfU1JRorB+S5PcaALx9m4kVS3wxfNSwIv/+nVs0Q4/errCra1fmsb0jiW1bkr/z9evXQ09PDzNnzoStrS0MDAzg6OgII6P3V7k+3O7a2toICQnBDz/8AENDQ4l9Hh+T5D4QFLgfWtpaGPX7SFjWtIBuNV3Y1bWDnr5eeYRWJq49CMeG07txIfKatJvyxSSx7zdo0AAtW7aEmZkZjIyM0LdvX1haWuLmzZtCmZUrV6JLly4wNzeHlZUVvLy8EBcXV+i7j0rH29tbGMP2bvrwN3JpxcXFQVdXt9B8XV1dxMXFFVtvwYIFUFBQ+Krf4kzkysgvv/yC7du3QyQSCfN27tyJatWqwdm54Ef14MGDceHCBezYsQMRERHo0aMH2rVrh/v335+Fe/PmDRYvXozNmzfjn3/+QXR0NCZOnCi8v2bNGkyZMgVz585FZGQk5s2bh2nTpmHjxo0AgBUrVuDAgQPYtWsXoqKisGXLFuGS/J49e7B06VL4+/vj/v37CAoKgp2d5H4EvJMQn4C01DTUrVdXmKeoqAib2jaIuhtVbL17UfdQ96Nuh/b16iLq7j3hdS3rWvg34l+8eP4CAPDk8RPcvROF+g7vu93k5+fDd6kvunTv8tnuLpKSk5ODe1H34NCwgdh8h4YOuH3rdpmt5+jBo2jeqgVUVFTKbJlf6vnz50hKSoKTk5Mwr2LFinBwcEB4eOFuoO9ERESI1QEKTpB8qs63IicnB5GRkYXa36hRo2LbHx4eXijZbNy4MSIjI5GTkwMAsLe3x507d/Dvv/8CAGJiYnDhwgX8+OOPxbbjyJEj6Nq1K+Tk5L42rM+SdtzR0dFo3bq1cFUnJiamrEL7LEl+rwFAgP9a1HeohzrFdL2WNElt25L8nZ89exY2NjZwd3dHy5Yt0bt3b+zdu7fYtiYnJ+P8+fPo1q3bl4T41SS5D4ReDYW5uRl8FiyB24AhcB83CSePl1+34f8ySe37HxKJRLhy5X/t3XlcTfn/B/DXLZUWbVokaZEiyvK1jH0ZS7aksYx9NwxjG1tD1sZOhrErjLGMSBgmu0aWLFHWkCiRtEt7nd8f/dxxlb17T91ez8ejx8M999zb6+N06r7P+SzBePz48QcvuqWlpQEouJtHX8/d3R0pKSkyXx8agvDmTv+Hvq5eLeguXNTfXEEQ3vu3+Nq1a/jtt9+wbdu2r/p7zTFyxaRPnz6YNGkSgoKC0KJFCwAFVx779esHFRUVREREYPfu3Xj69Kl0MOOUKVMQEBCArVu3YuHCgvFMOTk52LBhg3Qs0bhx4zB//nzp91mwYAFWrFgBNzc3AIC1tTXu3LmDjRs3YvDgwYiKikL16tXRvHlzSCQSWFr+1yUnKioKlSpVQrt27aCmpoaqVauiUaOix2UUp+SkZACFfxHp6eshPi7+/a9LToaevv47r9GXvh8AuH7XHenp6Zg4dhJUVFSQn5+PvgO+R/OW/33gO+h3EKqqqujctdNXt+VLpSSnID8vv1C3TgNDAyQlJhbL97h35x4eP4rEz79M+fjOchQfX3BM3707UrFixfd2S3nzuooVKxZ6TUJCQvGHLGZJSUnIy8srss3vy5+QkFCovYaGhsjNzUVycjKMjY3h7OyMpKQkDB06FACQm5uLXr16YdiwYUW+55kzZ/Dq1St069atGFr1cWK2u3bt2liwYAEsLS2RkJCALVu2YMiQIdi3bx/03/m9IQ/y/L12/t/zePQoEouXf/2V4i8lr2P7Ked5TEwMfH19MWDAAAwfPhy3bt3C0qVLoaamVuTP9uHDh6GlpVVonJ28yfNnIO5FHI4HnEDX7l3g1qsHHt5/CJ/NW6FWTg2tROxxURbI62cfAF69eoWOHTsiJycHKioqcHd3f2/vEUEQsGLFCtSrVw+2trbF0DLS0ND4rCFR48aNw/fff//BfaysrBAWFoYXLwoPk3n58iVMTU2LfN25c+cQFxeHqlWrSrfl5eXh559/xqpVq/D48eNPyshCrpgYGxujffv22LlzJ1q0aIHIyEhcvHhROl4lJCQEgiDAzs5O5nVZWVkyJ7+WlpbMhBBmZmaIi4sDUPADER0djeHDh2PkyJHSfXJzc6V/SIYMGYL27dvD3t4ezs7O6Nq1Kzp06AAA6NWrF1atWgUbGxs4Ozujc+fO6Nat23u7GmZlZRXqO5ydnQ11dfUP/l+cO3sOG9dvkj529yi42lHoioMgAB+5CFHoIsU7VzcunLuAc2fPYcLk8ahS1QKPIx9jm/c2GBgWTHoS8fARjhw+iqUrlyjkDsXHFNEcSD72n/CJAg4fhZWNNWo41CiW9/tUR48ehaenp/Tx6tWrARQ+3h+6MvU+X/IaMRVHm99+n6tXr8Lb2xvu7u5wdHREdHQ0li1bhk2bNmHUqFGFXufv749mzZoV2cVDnsRo99t356pXr446deqgW7duOHz48CfPFPY5FPV7Lf5lPLZu2YZZ82Z+9HetIhT3sS3Ku++Zn58PBwcH6TjXGjVqICIiAr6+vkUWcgcPHkSnTp3kPmZdkX/b8oV8VKtWDf0GFoyBtLaxRnRUNI4FHGchpyDy+NnX1tbGnj17kJGRgeDgYKxYsQJVqlRBgwYNCr1u8eLFePDgAbZu3fr54alYvOm6/TFNmjRBSkoKLl++LL1BEhwcjJSUFDRt2rTI1wwcOBDt2rWT2daxY0cMHDhQehHzU7CQK0b9+/fHhAkTsGbNGuzatQu1atVCnToFXS7y8/OhqqqKa9euQVVVVeZ1Ojo60n+rqanJPCeRSKTdNfPz8wEUdK98e0AlAOl71q9fH5GRkfjnn39w8uRJ9O7dG+3atcO+fftgYWGB8PBwnDhxAidPnsSPP/6IZcuWITAwsND3BQr6Es+bN09m2+ixP2DMuDEf/H9o0KgBbO2rSx/n/n+3guTkZJk7UikpqdDXf393Af13rlAWvCYFem+9Zse2P+H6XXc0a9kMAGBpVRXxL1/iwD5/tG7bGvfu3EVqSirGjPhR+pr8/Hxs3/oHjhw+inWb136wLcVFT18PKqoqSExMktmenJQE/WKYfCUzMxNnTp7F4BGKm63tjVatWqF27drSx2+6kSQkJEivQgJAYmLiB8cwGRkZFbra+bHXlBQGBgZQVVX9rPxFXd1NTExEuXLlpBdm1q1bhy5dukjvwFevXh0ZGRnw9PTEiBEjZGZmffbsGYKDg7F8+fLibNoHlYR2v6GpqQlbW1tERUUVR9MKUdTvtUcRj5CSkoLpk/8bc52fn4+7t+8i4EgAdu3bBVVV+Y+KkNex/ZTz3MjICDY2sjMzWltb49SpU4W+Z0hICB4/fozFixd/euO+kCL/thkYGKCKhex4P3OLKrh0MfhrmkCfQF4/+wCgoqIivQNjb2+PyMhI+Pj4FCrkFi9ejMDAQHh7e7/3jg6VHDVr1oSzszNGjhwpnU151KhR6Nq1q8yMlTVq1MCiRYvQo0cPVKxYsdBdXDU1NVSqVOmzZtrmGLli5OrqiszMTAQEBGDXrl0YMGCA9Ll69eohLy8PcXFxsLW1lfmqVOnTBi+bmprC3Nwcjx49KvQe1tbW0v10dXXRp08fbN68GX/99Rf279+PxP/vvqepqQkXFxesXr0aZ8+excWLF2VmC3tbUX2Jh48a/tGcmlqaMDOrJP2qYlEF+gb6CLsRJt0nJycXd27fgX2N9/+w2tnbISxUNlvojTDY1/jvrmZWdhYk73yoU1FRkRa/LVsXzAq2bNVS6ZeBoQFcXF0wc87Mj7aluKipqcHO3g4hl6/JbA+5cg21HL9spqK3BZ46i5ycbLRzbvfxnYuZtrY2qlatKv2ysbGBkZERLl26JN0nJycH165dk17YKIqTk5PMa4CCmaA+9JqSQk1NDTVr1iyU/9KlS+/NX6dOnSLbW7NmTemFlczMzEJFy5uf77fH4wLAoUOHYGhoKO3arQglod1vZGdnIzIy8pOunn4JRf1ec3RyxIrVy2V+Z1WzrYbmrZpj2aqlCiniAPkd2085z+vWrYsnT57I7BMVFQUzM7NC39Pf3x81a9ZUyBIjivzbZl/THs+ePZPZ53nMM5mLYyQf8vrZL4ogCMjOzpZ5vHjxYpw+fRobN26Eubn5V7SEFGnnzp1wdHREhw4d0KFDBzg5OWHHjh0y+4SHhyMlJaVYvy/vyH2ClJQU3LhxQ2ZbUVdltLW10b17d3h4eODu3bvo1++/aaHt7OzQv39/DBo0SNrnOT4+HqdPn4ajoyM6d+78SVnmzp2L8ePHQ1dXF506dUJWVhauXr2KpKQkTJ48GV5eXjAzM0PdunWhoqICX19fVKpUCfr6+ti2bRvy8vLQuHFjaGlpYceOHdDU1JQZR/e2ovoSf0lXH4lEgi7dOsNv3wFUMjODWeVK8Nt3ABrqGjJj2dZ4/Q7DiobS6bS7dOuM2b/Mgf9+fzRs3BBXgq/gZuhNLFj035jB/zX8H/x8/WBkbAQLiyqIfPQYhw/+jbbtCtYWq6BbARV0K8jkKVeuHAwM9GFe5fMXXvwa333fE0vmL4ZdTTvUrO2AowePIO5FHLq6FnQV8l6/BfEv4zF99n9X4h/efwigYEr9lOQUPLz/EGpq5WBpbSXz3gF//4NmLZpBtwQMiJZIJOjXrx+8vb2lxZ23tzfKly+PTp3+G6c4a9YsmJiYSGdr6tu3L0aMGIGtW7eidevWOHv2LC5fvgwfHx/pa9LT0xEdHS19HBMTg/DwcOjq6ko/5KWkpCA2NlbaJflNP/OKFSvK7UM+AAwYMACzZs2Cg4MDnJyc4Ofnh9jYWPTs2RNAQZfTuLg4aTfUnj17Ys+ePVi+fDnc3NwQFhYGf39/mRm0WrZsiT///BP29vbSLobr169Hq1atZO7s5+fn4+DBg+jatavCZ2UVq90rV65Ey5YtYWZmhsTERGzZsgWvX79W2PhAef1e09TSRFXLqjLfS6O8BipUqCCz/dWrNMS/jJeOsX0z4ZO+gT4MDPSLpY3yOLafcp4PGDAAQ4YMgbe3N9q3b4/bt29j//798PDwkMmXlpaGEydOYPLkycXS3s8lz79tXV26YNZ0D/j5+qFJ86Z4eP8hTh4/hR9+LNyluqQqr66Byob/XaiuZGAMm0qWeJWRhpcpJXvsszx+9r29vVGrVi1UqVIFOTk5CAoKwpEjR2Qm21i0aBH++ecfeHl5QVtbWzrmXEdHB+XLl1fg/wB9LkNDQ/z5558f3Od9FyLf+NRxcW9jIfcJzp49W2jx0fctONq/f3906dIFLVu2lBnACBRMqezp6Ymff/4ZMTExqFixIpo0afLJRRwAjBgxAlpaWli2bBmmTZsGbW1tODo6YuLEiQAKTvYlS5bgwYMHUFVVRcOGDXH06FGoqKhAX18fixcvxuTJk5GXlwdHR0ccPny40K1deeju1h3Z2dnYsnELXqe9hq2dLWbNmwlNrf9mV4yPj4dE5b++5PY17TFxykTs2bkHe3b9hUqVKmHS1Imo/lbXluEjh2HPrr+wZcMWpKSkwNDQEO07tkfPPj3l3qbP1bpdG6SmpOJPnx1ITEiElY0Vfl2+CKZmBd0mEhISEPciTuY1Y4b8IP33g3v3cfr4KZhWMsWffruk259GReNW6C0sXrVEMQ35BEOGDEFWVhYWLVqE1NRU1K5dG+vXr4e29n/TqMfGxsrcdalbty4WLVqEdevWYd26dbCwsMDixYtlZla9c+eOzPjQFStWAAC6desmnRQoMDAQc+bMke7zZlmQH374AaNHj5ZPg1HQtz0lJQWbNm1CfHw8bG1tsWbNGunkRvHx8TLTEJubm2PNmjVYsWIF9u7dC2NjY0ybNk2mz/yIESMgkUiwbt06xMXFwcDAAC1btsS4ceNkvndwcDBiY2MVPmsfIF67X7x4AXd394JubQYGcHR0xPbt26XfVxHk9XvtU1y9fBXrVv+39Myq5asAAL2+74nefXt/XcP+nzyO7aec57Vq1cKKFSuwZs0abNq0Cebm5pg6dWqhv5XHjh0DADg7OxdLe7+EvH4GbKvbYqr7FOzcsQv7/toPE1MTDBkxGC1aK+6O+9eyq2yD5UP/K75HOxeMXT1+PRDL/TeKFeuTyONnPzMzEwsXLkRcXBw0NDRgZWUFT09PdOzYUbrPm+UN3v47BwDz5s2Di4uLPJtMpZRE+Fh5SPSWsHslfyp4edA3ln+xWxIZaZb88WlEX+thVOHFuMsC26qfVzwqi7J6vKfsLjkX+xTJf/oWsSOIQkur5C4e/+bOpqLt27dPlO8rTxwjR0REREREVMqwkCMiIiIiIiplWMgRERERERGVMizkiIiIiIiIShkWckRERERERKUMCzkiIiIiIqJShoUcERERERFRKcNCjoiIiIiIqJRhIUdERERERFTKsJAjIiIiIiIqZcqJHYCIiIiIiMqG06dPix1BafCOHBERERERUSnDQo6IiIiIiKiUYSFHRERERERUyrCQIyIiIiIiKmVYyBEREREREZUyLOSIiIiIiIhKGRZyREREREREpQwLOSIiIiIiolKGhRwREREREVEpw0KOiIiIiIiolGEhR0REREREVMqwkCMiIiIiIiplWMgRERERERGVMizkiIiIiIiIShkWckRERERERKVMObEDUOnyW9YxsSOI46nYAcSxpvo4sSOIIj4jUewIojDSNBQ7ApHczZ+1QOwIovD/4w+xI4jCdckIsSOI4vi8XWJHIAXgHTkiIiIiIqJShoUcERERERFRKcNCjoiIiIiIqJRhIUdERERERFTKsJAjIiIiIiIqZVjIERERERERlTIs5IiIiIiIiEoZFnJERERERESlDAs5IiIiIiKiUoaFHBERERERUSnDQo6IiIiIiKiUYSFHRERERERUyrCQIyIiIiIiKmVYyBEREREREZUyLOSIiIiIiIhKGRZyREREREREpQwLOSIiIiIiolKGhRwREREREVEpw0KOiIiIiIiolGEhR0REREREVMqwkCMiIiIiIiplWMgRERERERGVMizkiIiIiIiIShkWciJo3bo1Jk6cKHYMIiIiIiIqpcqJHaC06datGzIyMnDy5MlCz128eBFNmzbFtWvXUL9+fRHSlR7Pj93B00M3kZ2cAa0q+rAZ8g30alb66OtS771A2Nwj0LYwQL1lPaTbw+YeQeqd2EL7G9SrglruHYs1+9f4nHan3IvF451XkBGTgvysXGgY66BSuxow71pbuk9+bj6e+ociLvABshLToVlZD9b9G8KgbhVFNalIe/fuxfbt2xEfH49q1aphypQpHzwnrl69ipUrVyIiIgLGxsYYPHgwevXqVeS+AQEBcHd3R+vWreHl5SXzPfft24dnz54BAGxsbDBq1Cg0b968eBv3GQ7tPwjfXXuRkJAAK2srjJnwIxzrOhW5763Qm9i8bjOin0QhKzMLppVM0cW1K777vqd0n8ePHmP7lm14cO8+XsS+wJgJP8Ktz3eKas57FffxPnToEObMmVPodZcuXYKGhgYA4PXr11i3bh1Onz6NpKQk2NvbY9q0aahVq1bxN/ArCIIA3z2+OHnsFNJep6G6XXWM+GE4LKpavPc1J4+fROCZfxH9JBoAYFPNBn0H9kV1O1tFxf4sxX38c3Jy4OPjg7///htxcXGwtLTEhAkT0KxZM0U057P17t0b7dq1g7a2Nh4+fIjNmzfj6dOn792/Xbt2aNWqFSwsCn4GHj16hF27duHhw4fSfdatWwcTE5NCrw0ICMCWLVuKvxEfUNzH99SpU/D29kZ0dDRyc3NRtWpVDBw4EF27dpXu4+3tjdOnT+Px48fQ0NBAnTp1MGHCBFhZWcmzqcXC0bIGejXriupm1qioa4C5u1fiwr2rYsciJcVC7jMNHz4cbm5uePLkCSwtLWWe8/HxQd26dVnEfcTLC4/waFswqo1oCl17U8SevIfbC4+hvtd3KG+k897X5aZn4/7aQOg7VkZOcobMczWntIOQmyd9nPMqC9enHoBRE2u5teNzfW67VTXKoXJHB2hZGkJVoxxS773Aw83noVq+HCq1qwEAeLLnKl6ei4DtD82hZa6HpNAY3F12Ek6eXaFjbaToJgIAjh07hmXLlsHd3R1169bF/v37MW7cOOzfvx9mZmaF9o+JicFPP/0ENzc3eHp64saNG1i0aBEMDAzQrl07mX2fPXsGLy8v1KtXr9D7mJqa4qeffkLVqlUBAIcPH8akSZOwZ88eVKtWTT6N/YCzJ89g/W/r8NOU8ajlVBtH/P/GLz+7w3unD0wqmRbav3z58uj+nStsbG1QXrM8boXexG9LV6F8+fLo4lrwAScrMxNmlc3Qsk1LbFi9XtFNKpK8jreOjg4OHDgg89o3RRwAzJ8/Hw8fPoSnpyeMjY1x9OhRjB49Gvv37y/yA7BYDvodxN8Hj2DshB9hVtkM+/f6YcFsT/y2bhU0tTSLfM3tm3fQvEUz2I20h7q6Gg76HYTnXE+sXLMSFSsaKrgFHyaP479u3TocOXIEHh4esLa2xoULF/Dzzz9j27ZtqFGjhqKb+EGurq7o2rUr1q5di2fPnqFnz56YPXs2xo8fj8zMzCJfU6tWLQQFBSE8PBzZ2dlwdXWFh4cHJk2ahMTERADAjBkzoKLyX6cpCwsLzJkzBxcvXlRIu96Qx/HV09PDiBEjYGVlBTU1NZw7dw5z586FoaEhmjZtCgAICQlBnz59UKtWLeTm5mLt2rUYM2YM/Pz8oKlZ9HlTUpRX08Cj2Cc4dj0Qc76fJHYcUnLsWvmZunbtChMTE2zbtk1me3p6Ov766y+4urqib9++qFKlCrS0tODo6Ijdu3d/8D2zs7Mxbdo0mJubQ1tbG40bN8bZs2elz2/btg36+vo4duwYatasCR0dHTg7O+P58+cy7+Pj44NatWpBQ0MDZmZmGDdunPS5lJQUjBo1CiYmJtDV1UXbtm0RGhr61f8fXyLm71swbWuHSt/aS+9KaRhpI/b43Q++7uGmIBg3q4YK1Qt/SFPT0YC6vpb0KzksBqoa5WD0Tckp5D633TrWRjBuXg3aFgYob1IBJi1tYVDHHCl3/7vz+PJcBKr0qAPD+hYob6oLsw41oV/HHDGHbymqWYX8+eefcHV1hZubG2xsbDB16lRUqlQJvr6+Re6/b98+mJmZYerUqbCxsYGbmxu6d++OP/74Q2a/vLw8zJw5E6NHj0aVKoXvOLZq1QotWrSApaUlLC0tMW7cOGhpaSEsLEwu7fyY/Xv2wblbJ3R26QJLK0v8OHEsjE1McPjA4SL3t7WvjrYd2sLKxgqVzCqhnXN7/K9xA9wMvSndx96hBkaN+wFt2reFmpqaopryQfI63gBgZGQk8/VGZmYmTp06hYkTJ+J///sfqlatitGjR6Ny5crv/b5iEAQBRw4fhVuvHmjcpDGqWlbFuIljkZWdhaB/g977ugk/j0fHzh1hbWMF8yrm+GHsaAj5Am699bNQUsjj+P/9998YPnw4WrRogSpVqqB3795o0qQJduzYoahmfbIuXbrAz88PwcHBiI6Oxpo1a6ChoYEWLVq89zW//fYbjh07hsePH+PZs2fYsGEDJBIJHB0dpfukpqYiOTlZ+vW///0Pz58/x+3btxXRLCl5HN8GDRqgbdu2sLGxgYWFBfr164fq1avj+vXr0n3Wrl0LFxcXVKtWDfb29pg7dy5iY2Nx584dubf5a115GIptp31x/u4VsaNQGcBC7jOVK1cOgwYNwrZt2yAIgnS7r68vsrOzMWLECPzvf//D33//jVu3bmHUqFEYOHAggoOD3/ueQ4cOxfnz57Fnzx6EhYWhV69ecHZ2xoMHD6T7pKenY/ny5dixYwf+/fdfREVFYcqUKdLn169fj7Fjx2LUqFG4efMmDh06BFvbgm44giCgS5cuiI2NxdGjR6VdP7/99lvp1T9Fyc/NQ9qjeOjXMZfZru9kjtTwuPe+7sWZ+8h88QpVexW+E1Pk/qfvw6ipDVTLl4wPu1/a7relRcYjNTwOeg7/XQXNz8mDirqqzH4q6uWQGv7i60N/gZycHNy9exdNmjSR2f7NN9+898JBaGgovvnmG5ltTZs2xd27d5GTkyPdtmnTJhgYGKBHjx7vvkUheXl5CAgIQEZGBpyciu7KKE85OTm4H34f/2vUQGb7/xr9D7dvftoHsYfhD3Dn5m041VN8/k8lz+OdkZGBTp06oWPHjhg/fjzu3bsnfS4vLw95eXlQV1eXeR8NDQ2ZD4Nii3sRh+SkZNSpV0e6TU1NDQ61HBB+L/yT3yc7Kwu5ebnQqfD+HgtikNfxz8nJKfHHFgBMTExgYGAg09bc3FzcuXMH9vb2n/w+6urqUFVVRVpaWpHPlytXDi1btsSZM2e+OvPnkOf5/YYgCAgODsbjx4/xv//9771Z3vzf6OnpfW4ziJQau1Z+gWHDhmHZsmU4e/Ys2rRpA6DgbpibmxvMzc1lCqyffvoJAQEB8PX1RePGjQu9V0REBHbv3o2nT5+icuXKAIApU6YgICAAW7duxcKFCwEU/ELdsGGDtIvYuHHjMH/+fOn7eHp64ueff8aECROk2xo2bAgAOHPmDG7evIm4uDhp16Tly5fD398f+/btw6hRo4psZ1ZWFrKysmS25WXnQlX9y39sclIzgXwB6nqyXSPU9TSR/E53yTcynqfg8a4rcJrXFRLVj197ePXwJdKjk1B9zPuviCral7T7jcujdyMnNRNCnoCqveqh0rf/fUAwqGOOZ3/fgl7NSihvqovkW8+QePUJhHzhA+8oP0lJScjLy4OhoWz3r4oVKyIhIaHI1yQkJKBixYoy2wwNDZGbm4vk5GQYGxvjxo0b8Pf3x549ez74/R88eIDBgwcjOzsbmpqaWLFihSjdKlOSU5Cflw8DQwOZ7QaGBkj6yMWTvt37ICU5BXl5eRg4fBA6u3SRZ9SvIq/jbWVlhXnz5sHW1havX7/Grl27MHToUOzZsweWlpbQ1taGk5MTNm/eDGtra1SsWBEBAQG4deuWtGttSZCclAyg8IdPPX09xMfFf/L77PxjJwwNDeFYx/HjOyuQvI5/kyZN8Oeff6J+/fqwsLDA5cuXERgYiLy8vCLfUywGBgXnd3Jyssz2N+34VAMGDEBiYuJ7ew80bNgQ2traCi/k5HV8AeDVq1fo2LEjcnJyoKKiAnd390IF4BuCIGDFihWoV6+e9AI1ERVgIfcFatSogaZNm8LHxwdt2rRBREQEzp07h+PHjyMvLw+LFy/GX3/9hZiYGGkxpK2tXeR7hYSEQBAE2NnZyWzPysqS+WWopaUl84HUzMwMcXEFd3Li4uLw7NkzfPvtt0V+j2vXriEtLa3QL9eMjAxERES8t52LFi3CvHnzZLbV/aEd6o9p/97XfDLJp20T8vMRvvosqvaqD83Kn3Yl7sXpcGhZGKCC7af/IVWYT2z325zmd0VeZg5e3Y/D411XoVlJF8bNC34WbIZ+gwcbgnBt4n5AAmia6sK0tR1enL1f/Nk/g0Qi2yhBEApt+9T3ef36NWbOnAkPDw/pB6f3sbKywp49e/Dq1SucOnUKs2fPxpYtW0Qp5oDCh1YQAMlHDvjK9auQmZGBu7fuYsv6zahsbo62HdrKL2QxKM7jDQBOTk4yd1Lr1q2Lvn37Ys+ePZg+fTqAgotXc+fORceOHaGqqooaNWqgU6dOuHv3w1205enc2XPYuH6T9LG7hzuAwv8///+D8EkO+h1E0LnzmPfr3EJ3qUqK4j7+U6dOxYIFC+Dm5gaJRIIqVarAxcUFhw4dKpa8X6pFixYyFz4XLVoEADK9c4CCdry77X26d++OZs2aYe7cuUXesQKAb7/9FtevX0dSUtIXJv86xX18AUBbWxt79uxBRkYGgoODsWLFClSpUgUNGjQo9LrFixfjwYMH2Lp16+eHJ1JyLOS+0PDhwzFu3DisXbsWW7duhaWlJb799lssW7YMXl5eWLVqFRwdHaGtrY2JEyciOzu7yPfJz8+Hqqoqrl27BlVV2S5yOjr/daN5dzzM238oPjbwNz8/H2ZmZjLj7t7Q19d/7+vc3d0xefJkmW3jw3//4Pf6GDXd8oCKBNnv3IXKTsmAml7hduRl5CAtIh5pkQmI8Pn/Qd6CAAhA0Pc+qD3LGfq1K/+3f1YuXp5/hKp9StaEM5/b7reVN6kAANCuaojslAxE+V6XFnJquppwmNYe+dm5yEnLgrqBFh7vvCJ9jaIZGBhAVVW10NXaxMTEQld13yjq6m5iYiLKlSsHPT09PHr0CM+ePZNZsiM/Px9AwViLAwcOSGd/U1NTk96RqVWrFm7fvo3du3dj1qxZxdXET6KnrwcVVRUkJsp+8EpOSoK+4YeLUbPKBV1nravZICkxCTt8tpfYQk4ex7soKioqqFWrFqKioqTbLCws4O3tjYyMDKSlpcHY2BjTp0+Hubl5ke+hCA0aNYCtfXXp49z//2CenJwsc3c2JSUV+vofvzB16MAh+O07gNnzPGBpZfnR/RVNXsff0NAQXl5eyMrKQkpKCoyNjbF69WpprxWxXLlyRWbIQ7lyBR+hDAwMZO7K6enpISUl5aPv5+LiAjc3N8yfPx9Pnjwpch8jIyM4Ojpi+fLlXxf+C8jz/FZRUZH+rra3t0dkZCR8fHwKFXKLFy9GYGAgvL29YWpaeJIoorKOhdwX6t27NyZMmIBdu3Zh+/btGDlyJCQSCc6dO4fu3btjwIABAAo+cD548AA1a9Ys8n3q1auHvLw8xMXFfXBw9IdUqFABVlZWOHXqlLSr59vq16+P2NhYlCtX7rOm7tXQ0JCZJQ7AV3WrBACVcqrQsTFCclgMjBr9lyU57BkqNizcJUpVUx31lsuOiXp+/C5Sbj1HjcltCxUs8RcfIT83HyYtSlb3i89t93sJBePtCr2/ejloGJZDfm4+EoIfw6iJTTGk/nxqamqoWbMmLl26hLZt/ys+Ll26hNatWxf5mjp16iAwMFBm28WLF1GzZk2oqanBysqq0MD6tWvXIj09XTrw/kPedxFFntTU1GBnb4eQy9fQvNV/yx+EXLmGpi0+fQp1AQJysou+Sl8SyON4F0UQBISHh6N69eqFntPU1ISmpiZSU1Nx4cIFUdfo1NTSlJmJUhAE6BvoI+xGGKxtCiZeysnJxZ3bdzBgUP8PvtdBv0PY77sfs+bORLXq4txR/hh5H38NDQ2YmJggJycHp06dQvv2xdAb5CtkZmYiNlZ2mZukpCQ4OTkhMjISQEFx5+DggD///POD7+Xi4oLvvvsOnp6eH+wZ07ZtW6SmpuLatWtf34DPpKjzGyg4V97+XS0IApYsWYLTp09j8+bNol6gISrJWMh9IR0dHfTp0we//PILUlJSMGTIEACAra0t9u/fjwsXLsDAwAArV65EbGzsews5Ozs79O/fH4MGDZL2AY+Pj8fp06fh6OiIzp07f1KeuXPnYvTo0TAxMUGnTp3w6tUrnD9/Hj/99BPatWuHJk2awNXVFUuWLIG9vT2ePXuGo0ePwtXVtciuDPJk3rU27q8JhI6NMXTtTBB78h6y4tNQqX3BtNKPd11BVmI67Me1gkRFAu2qslf+1HQ1oaKmWmg7UDDJScWGVaFWobxC2vI5PqfdAPAs4A40jHSgZV5wFTP13gvEHL6Jyp0cpO/56kEcshLToWNliKzEdET5hkAQgCrdxRtLM2DAAMyaNQsODg5wcnKCn58fYmNj0bNnwXpoq1evRlxcHDw9PQEAPXv2xJ49e7B8+XK4ubkhLCwM/v7+0m5LGhoahcZFVKhQUMC/vX3NmjVo1qwZKlWqhNevX+PYsWO4evUq1q5dq4hmF/Ld9z2xZP5i2NW0Q83aDjh68AjiXsShq2s3AID3+i2IfxmP6bNnAAAO7veHiakJLCwLCvtbobfgu8sXrj1dpe+Zk5ODJ5EFV+5zcnMR/zIeD+8/hKaWJsyriPNBp7iPNwBs3LgRjo6OqFq1Kl6/fo3du3fj/v37cHd3l+5z4cIFCIIAKysrREdHw8vLC1ZWVnBxcVHsf8AHSCQSdOnWGX77DqCSmRnMKleC374D0FDXQPOW/xX4a7x+h2FFQ/Qf1A9AQXfKPTv/woSfx8PYxARJ/z/Wrnz58tDULFm/2+Rx/N+M6ba3t0dcXBw2btyI/Px86d/ZkuTIkSNwc3PD8+fP8fz5c7i5uSErKwvnzp2T7vPTTz8hISEBu3btAlDQnfL777/HqlWr8PLlS2nPmMzMTJklCyQSCdq0aYOzZ89KeyEomjyOr7e3N2rVqoUqVaogJycHQUFBOHLkiMz5vWjRIvzzzz/w8vKCtrY24uMLxpTq6OigfPmSdQ68q7y6Biob/neBsZKBMWwqWeJVRhpephQ9tpDoS7GQ+wrDhw+Ht7c3OnToIO0i4OHhgcjISHTs2BFaWloYNWoUXF1dP9jNYuvWrdLJSmJiYlCxYkU0adLkk4s4ABg8eDAyMzPh5eWFKVOmwMjISPqLViKR4OjRo5g5cyaGDRuGly9folKlSmjZsqUoXRWMm9og91UmovdfR3ZSOrQsDFDLvQPKGxd8OM9OykBWfNGzd31IxrMUpN57gVqznIs7crH47HYLAp7svoLMuDRIVCQoX0kXVv0bSteQAwpmrXyy5xoy415BtXw5GNSzgN24ViinrfHut1eYjh07IiUlBZs2bUJ8fDxsbW2xZs0aabeo+Ph4mava5ubmWLNmDVasWIG9e/fC2NgY06ZNK7SG3MckJCRg1qxZiI+Ph46ODqpXr461a9e+dwC9vLVu1wapKan402cHEhMSYWVjhV+XL4Kpmak0b9yL/2YsFfIF+Kz3RuzzWKioqqKyuRlGjBkhXUMOABLiEzBmyA/Sx7679sJ311441auDFWtXKq5xb5HH8X716hUWLFiAhIQE6OjooEaNGtiyZQtq164t3SctLQ1r1qzBixcvoKenh2+//RZjx44tMcsyvNHdrTuys7OxZeMWvE57DVs7W8yaN1Pmzl18fDwkKv+NHzr2z3Hk5uZixRLZY9rr+57o3be3wrJ/Cnkc/6ysLKxduxYxMTHQ0tJCs2bNsGDBAukFnJLE398f6urqGDlyJLS1tfHgwQMsWLBApiAzMjKSKcQ6duwINTU1TJ06Vea99u7di71790ofOzk5wdjYGKdPn5Z/Q95DHsc3MzMTCxculE7AZmVlBU9PT3Ts2FG6z5teGCNHjpTJM2/evBJ1saYodpVtsHyoh/TxaOeBAIDj1wOx3H+jWLFISUmETx2RSwRgeOhSsSOQAq2pPu7jOymh+AzFLstRUhhplqzFphXlYdSDj++khGyrFu6qWhYMGjRI7AiiKGqtxrLAdckIsSOI4vi8XWJHeK/3jbGUN0UvuaUIXEeOiIiIiIjoCyUlJWHgwIHQ09ODnp4eBg4cWGhpkqLcvXsXLi4u0NPTQ4UKFfDNN9/ITOz1MSzkiIiIiIiIvlC/fv1w48YNBAQEICAgADdu3MDAgQM/+JqIiAg0b94cNWrUwNmzZxEaGgoPD4/PGgfKMXJERERERKTU3qzt/LaiZmj/XHfv3kVAQAAuXbqExo0bAwA2b96MJk2aIDw8HPb29kW+bubMmejcuTOWLv1v2JKNzefNOs47ckREREREpNQWLVok7fr45uvtGVW/1MWLF6Gnpyct4gDgm2++gZ6eHi5cuFDka/Lz83HkyBHY2dmhY8eOMDExQePGjeHv7/9Z35uFHBERERERKTV3d3ekpKTIfL297MWXio2NhYmJSaHtJiYmhdaefCMuLg5paWlYvHgxnJ2dcfz4cfTo0QNubm6F1mL8EHatJCIiIiIipfa53Sjnzp2LefPmfXCfK1euAChY6utdgiAUuR2AdEmS7t27Y9KkSQCAunXr4sKFC9iwYQNatWr1SRlZyBEREREREb1l3Lhx+P777z+4j5WVFcLCwvDixYtCz718+fK96zUbGRmhXLlycHBwkNles2ZNBAUFfXJGFnJERERERERvMTIygpGR0Uf3a9KkCVJSUnD58mU0atQIABAcHIyUlBQ0bdq0yNeoq6ujYcOGCA8Pl9l+//59WFpafnJGjpEjIiIiIiL6AjVr1oSzszNGjhyJS5cu4dKlSxg5ciS6du0qM2NljRo1cODAAenjqVOn4q+//sLmzZvx8OFD/P777zh8+DB+/PHHT/7eLOSIiIiIiIi+0M6dO+Ho6IgOHTqgQ4cOcHJywo4dO2T2CQ8PR0pKivRxjx49sGHDBixduhSOjo7YsmUL9u/fj+bNm3/y92XXSiIiIiIioi9kaGiIP//884P7CIJQaNuwYcMwbNiwL/6+vCNHRERERERUyrCQIyIiIiIiKmVYyBEREREREZUyLOSIiIiIiIhKGRZyREREREREpQwLOSIiIiIiolKGhRwREREREVEpw0KOiIiIiIiolGEhR0REREREVMqwkCMiIiIiIiplWMgRERERERGVMizkiIiIiIiIShkWckRERERERKUMCzkiIiIiIqJSRiIIgiB2CKKPycrKwqJFi+Du7g4NDQ2x4ygM2812lwVsN9tdFrDdbDdRcWMhR6VCamoq9PT0kJKSAl1dXbHjKAzbzXaXBWw3210WsN1sN1FxY9dKIiIiIiKiUoaFHBERERERUSnDQo6IiIiIiKiUYSFHpYKGhgbmzJlT5gYMs91sd1nAdrPdZQHbzXYTFTdOdkJERERERFTK8I4cERERERFRKcNCjoiIiIiIqJRhIUdERERERFTKsJAjIiIiIiIqZVjIERERERERlTLlxA5ARERUViUnJ0NfX1/sGHIXERGBVatW4e7du5BIJKhZsyYmTJiAatWqiR2NiKjU4h05ohLm9evXYkcgkruQkBDcvHlT+vjgwYNwdXXFL7/8guzsbBGTyc+SJUvw119/SR/37t0bFStWhLm5OUJDQ0VMJl/Hjh2Dg4MDLl++DCcnJ9SuXRvBwcGoVasWTpw4IXY8UoC8vDzcuHEDSUlJYkeRq+TkZGzZsgXu7u5ITEwEUPC7LiYmRuRkpKxYyFGJNXfuXDx58kTsGApnamqKYcOGISgoSOwoClVWj3dGRgbS09Olj588eYJVq1bh+PHjIqaSvx9++AH3798HADx69Ajff/89tLS04Ovri2nTpomcTj42btwICwsLAMCJEydw4sQJ/PPPP+jUqROmTp0qcjr5mTFjBiZNmoTg4GCsXLkSXl5eCA4OxsSJEzF9+nSx48lVWT2/J06cCG9vbwAFRVyrVq1Qv359WFhY4OzZs+KGk5OwsDDY2dlhyZIlWL58OZKTkwEABw4cgLu7u7jhSHkJRCVU/fr1BVVVVaFt27bCzp07hYyMDLEjKcShQ4cENzc3QV1dXahevbqwaNEiISYmRuxYcldWj3f79u2F9evXC4IgCElJSYKpqalQpUoVoXz58sK6detETic/urq6wsOHDwVBEITFixcLHTp0EARBEIKCgoQqVaqIGU1uypcvL0RFRQmCIAjjx48XRo0aJQiCIISHhwv6+vpiRpMrDQ0N4f79+4W2h4eHCxoaGiIkUpyyen6bm5sLV65cEQRBEA4cOCBUrlxZCA8PF2bOnCk0bdpU5HTy8e233wpTp04VBEEQdHR0hIiICEEQBOH8+fOCpaWliMlImfGOHJVY165dQ0hICJycnDBp0iSYmZlhzJgxuHLlitjR5Kpbt27Yv38/nj17hjFjxmD37t2wtLRE165d4efnh9zcXLEjykVZPd4hISFo0aIFAGDfvn0wNTXFkydP8Mcff2D16tUip5MfQRCQn58PADh58iQ6d+4MALCwsEB8fLyY0eTGwMAA0dHRAICAgAC0a9cOQMH/RV5enpjR5MrY2Bg3btwotP3GjRswMTFRfCAFKqvnd3x8PCpVqgQAOHr0KHr16gU7OzsMHz5cpku1Mrly5Qp++OGHQtvNzc0RGxsrQiIqC1jIUYnm5OQELy8vxMTEwMfHBzExMWjWrBkcHR3x22+/ISUlReyIclOxYkVMmjQJoaGhWLlyJU6ePImePXuicuXKmD17tkx3HWVRFo93eno6KlSoAAA4fvw43NzcoKKigm+++Uapu5o2aNAAnp6e2LFjBwIDA9GlSxcAQGRkJExNTUVOJx9ubm7o168f2rdvj4SEBHTq1AlAQUFja2srcjr5GTlyJEaNGoUlS5bg3LlzCAoKwuLFi/HDDz9g1KhRYseTq7J6fpuamuLOnTvIy8uTuWiRnp4OVVVVkdPJR/ny5ZGamlpoe3h4OIyNjUVIRGUBCzkqFfLz85GdnY2srCwIggBDQ0OsX78eFhYWMpMHKJPY2FgsXboUNWvWxIwZM9CzZ0+cOnUKXl5eOHDgAFxdXcWOKDdl6Xjb2trC398f0dHROHbsGDp06AAAiIuLg66ursjp5GfVqlUICQnBuHHjMHPmTGkhs2/fPjRt2lTkdPLh5eWFcePGwcHBASdOnICOjg4A4Pnz5/jxxx9FTic/Hh4emD17NtasWYNWrVqhZcuW+P333zF37lzMnDlT7HhyVVbP76FDh6J3796oXbs2JBIJ2rdvDwAIDg5GjRo1RE4nH927d8f8+fORk5MDAJBIJIiKisKMGTPw3XffiZyOlJa4PTuJPuzq1avC2LFjBUNDQ8HMzEyYPn268ODBA+nzy5cvF0xMTERMWPz2798vdO3aVVBTUxPq1KkjrFmzRkhKSpLZ59atW4Kampo4AeWoLB5vX19fQU1NTVBRURHat28v3b5w4ULB2dlZxGTiyMjIELKzs8WOQXKSmpoqpKamih1DYcry+e3r6yusXLlSiI6Olm7btm2b4O/vL2Iq+UlJSRGaNWsm6OvrC6qqqoKFhYWgpqYmtGzZUkhLSxM7HikpiSAIgtjFJFFRnJyccPfuXXTo0AEjR45Et27dCnXJePnyJUxNTaVjbZSBnp4evv/+e4wYMQINGzYscp+MjAwsXboUc+bMUXA6+SmrxxsouPv6/Plz1KlTByoqBR0lLl++DF1dXaW9eh0dHQ2JRIIqVaoAKGjvrl274ODgoLTd7bZv3w4jIyNpN9Jp06Zh06ZNcHBwkI6FVWZxcXEIDw+HRCKBvb19meluVhbP76KUlTUTT58+jZCQEOTn56N+/frSbqVE8sBCjkqsBQsWYNiwYTA3Nxc7ikKlp6dDS0tL7BgKV1aP97tSU1Nx+vRp2Nvbo2bNmmLHkZsWLVpg1KhRGDhwIGJjY2Fvb49atWrh/v37GD9+PGbPni12xGJnb2+P9evXo23btrh48SK+/fZbrFq1Cn///TfKlSsHPz8/sSPKRWpqKsaOHYvdu3dLL8KoqqqiT58+WLt2LfT09EROqDhl5fxesmQJrKys0KdPHwAFaybu378fZmZmOHr0KJycnEROSKQcOEaOSixBEGBgYFBoe0ZGBubPny9CIsXIzc1Fampqoa9Xr14p7ULJQME4GnNzc2RnZyM8PFxpZ+d8V+/evfH7778DKPjZbtCgAXr37g0nJyfs379f5HTyc+vWLTRq1AgAsHfvXtSuXRsXLlzArl27sG3bNnHDyUl0dLR0LKC/vz969uyJUaNGYdGiRTh37pzI6eRnxIgRCA4OxpEjR5CcnIyUlBT8/fffuHr1KkaOHCl2PLkqq+f3+9ZMdHZ2xpQpU0ROJx/jx48vcibS33//HRMnTlR8ICoTWMhRiTVv3jykpaUV2p6eno558+aJkEgx9PX1YWBgUOhLX18fmpqasLS0xJw5c5Sue2FGRgaGDx8OLS0t1KpVC1FRUQAK/jguXrxY5HTy8++//0qnJz9w4AAEQUBycjJWr14NT09PkdPJT05ODjQ0NAAULD/g4uICAKhRowaeP38uZjS50dHRQUJCAoCCGQzfdLkqX748MjIyxIwmV0eOHIGPjw86duwIXV1dVKhQAR07dsTmzZtx5MgRsePJVVk9v58/fy4t5P7++2/07t0bHTp0wLRp05R2SZn9+/ejWbNmhbY3bdoU+/btEyERlQUs5KjEEgQBEomk0PbQ0FAYGhqKkEgxtm3bhsqVK+OXX36Bv78/Dhw4gF9++QXm5uZYv349Ro0ahdWrVytdcTNjxgyEhobi7NmzKF++vHR7u3btlG6myrelpKRIf54DAgLw3XffQUtLC126dMGDBw9ETic/tWrVwoYNG3Du3DmcOHECzs7OAIBnz56hYsWKIqeTj/bt22PEiBEYMWIE7t+/Lx0rd/v2bVhZWYkbTo4qVqxYZPdJPT29IntdKJOyen6XxTUTExISivw519XVVdq1MUl85cQOQPQuAwMDSCQSSCQS2NnZyRRzeXl5SEtLw+jRo0VMKF/bt2/HihUr0Lt3b+k2FxcXODo6YuPGjTh16hSqVq2KX3/9Fb/88ouISYuXv78//vrrL3zzzTcyx9zBwQEREREiJpMvCwsLXLx4EYaGhggICMCePXsAAElJSTIFrbJZsmQJevTogWXLlmHw4MGoU6cOAODQoUPSLpfKZu3atZg1axaio6Oxf/9+acF67do19O3bV+R08jNr1ixMnjwZf/zxB8zMzAAUTAAydepUeHh4iJxOvsrq+f1mzcTq1auXmTUTbW1tERAQgHHjxsls/+eff2BjYyNSKlJ2LOSoxFm1ahUEQcCwYcMwb948mStc6urqsLKyQpMmTURMKF8XL17Ehg0bCm2vV68eLl68CABo3ry5tOuhsnj58iVMTEwKbX/9+nWRd2aVxcSJE9G/f3/o6OigatWqaN26NYCCLlmOjo7ihpOj1q1bIz4+HqmpqTJ3ZUaNGqW0k/3o6+tLx0u9TZm7igPA+vXr8fDhQ1haWqJq1aoAgKioKGhoaODly5fYuHGjdN+QkBCxYspFWT2/vby8YGVlhejoaCxdurRMrJk4efJkjBs3Di9fvkTbtm0BAKdOncKKFSuwatUqccOR0mIhRyXO4MGDAQDW1tZo2rQp1NTURE6kWFWqVIG3t3ehrpPe3t7SMQcJCQlK1yWpYcOGOHLkCH766ScAkBZvmzdvxjfffCNmNLn68ccf0ahRI0RHR6N9+/bS6cltbGyUegwNUNDN6tq1a4iIiEC/fv1QoUIFqKurK20hBwDnzp3Dxo0b8ejRI/j6+sLc3Bw7duyAtbU1mjdvLnY8uXB1dRU7gmjK6vmtpqZW5KQmyjzpx7Bhw5CVlYVff/0VCxYsAABYWVlh/fr1GDRokMjpSFlx+QEqUVJTU6Grqyv994e82U/ZHDp0CL169UKNGjXQsGFDSCQSXLlyBffu3cO+ffvQtWtXrF+/Hg8ePMDKlSvFjltsLly4AGdnZ/Tv3x/btm3DDz/8gNu3b+PChQv4999/8b///U/siHKVnZ2NyMhIVKtWDeXKKf81tidPnsDZ2RlRUVHIysrC/fv3YWNjg4kTJyIzM7PIu9Kl3f79+zFw4ED0798fO3bswJ07d2BjY4N169bh77//xtGjR8WOSHJS1s5vANixY4f0osXFixdhaWmJVatWwdraGt27dxc7nly9fPkSmpqa0juRRPLCyU6oRDEwMEBcXByAD8/eqGx3o97m4uKC+/fvo3PnzkhMTER8fDw6deqEe/fuoWvXrgCAMWPGKE0Rt3z5cgAFM3udP38e6enpqFatGo4fPw5TU1NcvHgRY8eOFTml/KSnp5fJ2TonTJiABg0aICkpCZqamtLtPXr0wKlTp0RMJj+enp7YsGEDNm/eLNPToGnTpkrXpfB90tLSCi2toszK6vm9fv16TJ48GZ06dUJycrJ0ghN9ff0y0c3Q2NiYRRwpRNm4LESlxunTp6UzfJ05c0bkNIqXk5ODDh06YOPGjVi0aJHYcRTCw8MDFStWxNChQ+Ho6Ijt27dLn3v16hU6duyo1B/23N3dpbN1vpm5ESiYrXPOnDmYMWOGiOnkJygoCOfPn4e6urrMdktLS8TExIiUSr7Cw8PRsmXLQtt1dXWRnJys+EAKEhkZiXHjxuHs2bPIzMyUbn8zM7GyzmIIlN3ze82aNdi8eTNcXV1lCtYGDRoo7TpyL168wJQpU3Dq1CnExcXh3Q5vyvxzTuJhIUclSqtWrYr8d1mhpqaGW7duKfXkHu/asWMHBg4cCAMDA5mxNK9fv4azszMSEhLw77//ihdQzsrqbJ35+flFfrB5+vQpKlSoIEIi+TMzM8PDhw8LLTUQFBSk1LPa9e/fHwDg4+MDU1PTMvX7raye35GRkahXr16h7RoaGnj9+rUIieRvyJAhiIqKgoeHB8zMzMrUzzmJh4UclShhYWGfvK+Tk5Mck4hn0KBBRU52oqx69uyJ5ORk9OvXD0eOHEGbNm2QlpYGZ2dnvHz5EmfPnoWpqanYMeWmrM7W2b59e6xatQqbNm0CUDC5TVpaGubMmYPOnTuLnE4+fvjhB0yYMAE+Pj6QSCR49uwZLl68iClTpmD27Nlix5ObsLAwXLt2Dfb29mJHUbiyen5bW1vjxo0bsLS0lNn+zz//wMHBQaRU8hUUFIRz586hbt26YkehMoSFHJUodevWhUQiKdQl4V3K3B0nOzsbW7ZswYkTJ9CgQQNoa2vLPK8sY+PeNmLECCQmJsLV1RUHDx6Eh4cHYmNjERgYiMqVK4sdT64+NFunMi+z4eXlhTZt2sDBwQGZmZno168fHjx4ACMjI+zevVvseHIxbdo0pKSkoE2bNsjMzETLli2hoaGBKVOmFFp7Spk0bNgQ0dHRZbKQK6vn99SpUzF27FhkZmZCEARcvnwZu3fvxqJFi7Blyxax48mFhYXFRz+7EBU3zlpJJcqTJ08+ed93r/QpizZt2rz3OYlEgtOnTyswjWK5u7tj6dKlsLKyQmBgIKpUqSJ2JLl732ydFy9eRGBgoFLP1pmRkYHdu3cjJCQE+fn5qF+/Pvr37y8z+YkySk9Px507d5Cfnw8HBwelnxQhIiICo0ePxoABA1C7du1CS8ooa+8KoGyf35s3b4anpyeio6MBAObm5pg7dy6GDx8ucjL5OH78OFasWIGNGzcW6j5NJC8s5IhIVG5ubjKPjx49ijp16sDc3Fxmu5+fnyJjKdTNmzexfPlyXLt2TVrQTJ8+XakXDKay49KlS+jXrx8eP34s3fam54Uy9654o6yf3/Hx8cjPzy+yi6kyMTAwQHp6OnJzc6GlpVXogkViYqJIyUiZsZCjEuXQoUPo1KkT1NTUcOjQoQ/u6+LioqBU4nj48CEiIiLQsmVLaGpqSj/0KJuhQ4d+0n5bt26VcxJStPv37+Ps2bOIi4tDfn6+zHPKOGbs9evXWLx4sXRWu3fb/OjRI5GSyZeDgwNq1qyJadOmFTnZibL2rqCy5e0Zl4syePBgBSWhsoSFHJUoKioqiI2NhYmJCVRU3r/MoTJfxU1ISEDv3r1x5swZSCQSPHjwADY2Nhg+fDj09fWxYsUKsSNSMcvPz8fDhw+L/HBf1HT1ymDz5s0YM2YMjIyMUKlSJZkP9xKJRCnXVevbty8CAwMxcODAIme1mzBhgkjJ5EtbWxuhoaGwtbUVO4ooyuL5zan4iRSDk51QifL2H7l3/+CVFZMmTYKamhqioqJQs2ZN6fY+ffpg0qRJLOSUzJtuZ0+ePCn0YUeZL1h4enri119/xfTp08WOojD//PMPjhw5gmbNmokdRaHatm1bZgu5snp+l9Wp+CMiIrB161ZERETgt99+g4mJCQICAmBhYYFatWqJHY+UEAs5ohLm+PHjOHbsWKGJPqpXr/5Zk8FQ6TB69Gg0aNAAR44cKVMfeJKSktCrVy+xYyiUgYEBDA0NxY6hcN26dcOkSZNw8+ZNODo6Fho7pMzd5Mvq+V0Wp+IPDAxEp06d0KxZM/z777/49ddfYWJigrCwMGzZsgX79u0TOyIpIXatpBLt1KlT8PLywt27dyGRSFCjRg1MnDgR7dq1Ezua3FSoUAEhISGoXr06KlSogNDQUNjY2ODKlSvSBbJJeZTVbmfDhw9Hw4YNMXr0aLGjKMyff/6JgwcPYvv27dDS0hI7jsKU1W7yQNk9vx0cHLBz584iFwVXVk2aNEGvXr0wefLkQn+7XV1dERMTI3ZEUkK8I0cl1u+//45JkyahZ8+e0rEjly5dQufOnbFy5UqlXXepZcuW+OOPP7BgwQIABR908vPzsWzZsg8uTUClU+PGjfHw4cMy90HP1tYWHh4euHTpUpF3acaPHy9SMvlZsWIFIiIiYGpqCisrq0JtVsZxgUDZ7SYPlN3ze9WqVZgxY0aZmor/5s2b2LVrV6HtxsbGvABLcsNCjkqsRYsWwcvLS6ZgGz9+PJo1a4Zff/1VaQu5ZcuWoXXr1rh69Sqys7Mxbdo03L59G4mJiTh//rzY8aiY/fTTT/j5558RGxtbZEGjrGtsbdq0CTo6OggMDERgYKDMcxKJRCkLOVdXV7EjiC4zMxPly5cXO4bClNXzu0+fPkhPT0e1atXKzFT8+vr6eP78OaytrWW2X79+vdByOkTFhV0rqcSqUKECrl+/XuhK5oMHD1CvXj2kpaWJlEz+YmNjsX79epl1h8aOHQszMzOxo1ExK6rbWVlaY4uUX15eHhYuXIgNGzbgxYsXuH//PmxsbODh4QErKyulXSAaKLvnd1mcin/atGm4ePEifH19YWdnh5CQELx48QKDBg3CoEGDMGfOHLEjkhJiIUclVv/+/VG3bl1MnTpVZvubhVV3794tUjKi4vOxCWy4xpbyuHLlCvLz89G4cWOZ7cHBwVBVVUWDBg1ESiZf8+fPx/bt2zF//nyMHDkSt27dgo2NDfbu3QsvLy9cvHhR7Ihyw/O77MjJycGQIUOwZ88eCIKAcuXKIS8vD/369cO2bdugqqoqdkRSQizkqERZvXq19N+pqalYvnw5mjVrhiZNmgAoGCN3/vx5/Pzzz5g1a5ZYMeUuOTkZly9fLnLdoUGDBomUiujrTJ48GQsWLIC2tjYmT578wX1XrlypoFSK06hRI0ybNg09e/aU2e7n54clS5YgODhYpGTyZWtri40bN+Lbb7+VmQTi3r17aNKkCZKSksSOSHJQVqfij4iIwPXr15Gfn4969eqhevXqYkciJcZCjkqUd/uWv49EIsGjR4/knEYchw8fRv/+/fH69WtUqFCh0ELJyji2oKw5dOjQJ++rTFOzt2nTBgcOHIC+vv4HJ+6RSCQ4ffq0ApMpho6ODsLCwmBjYyOzPTIyEk5OTnj16pVIyeRLU1MT9+7dg6WlpUwhd+fOHTRq1EjpusmX1fP7be9OxX/37l3Y2Nhg6dKluHz5MqfiJyomnOyESpTIyEixI4ju559/xrBhw7Bw4cIyNUV5WfLupBdvxsy8/fgNZRpDc+bMmSL/XVZoaGjgxYsXhQq558+fo1w55f1zXKtWLZw7d65QN0JfX1+lnJ7+Uye1UeYxcjNmzICnp6d0Kv432rRpg99++03EZMXrYz0L3qaMvQxIfMr7l4OolIqJicH48eNZxCmxt7vLnjx5EtOnT8fChQvRpEkTSCQSXLhwAbNmzcLChQtFTEnFrX379nB3d8fBgwehp6cHoKAb9S+//IL27duLnK74DRs2DL/99hvmzJmDgQMHIiYmBvn5+fDz80N4eDj++OMP/P3332LHLHZlebmFN8rKVPzXr1//pP3KykLwpHjsWkkl2tOnT3Ho0CFERUUhOztb5jllvbrl5uaG77//Hr179xY7CilA7dq1sWHDBjRv3lxm+7lz5zBq1CjcvXtXpGTy9fr1ayxevBinTp0qciyoMnadjomJQcuWLZGQkCC9E3Xjxg2YmprixIkTsLCwEDlh8VJVVcXz589hYmKCY8eOYeHChTIz8c6ePRsdOnQQOybJQZUqVbB37140bdpUpjvtgQMHMGXKFERERIgdkUgp8I4clVinTp2Ci4sLrK2tER4ejtq1a+Px48cQBAH169cXO57cdOnSBVOnTsWdO3eKXHdIWcdUlFURERHSuzNv09PTw+PHjxUfSEFGjBiBwMBADBw4EGZmZmXiirW5uTnCwsKwc+dOhIaGQlNTE0OHDkXfvn0LnefK4O3rxB07dkTHjh1FTCOe169fIzAwsMgLksq4XiIA9OvXD9OnT4evry8kEgny8/Nx/vx5TJkyhRN2ERUj3pGjEqtRo0ZwdnbG/PnzpVf0TExM0L9/fzg7O2PMmDFiR5SLotYdekOZx1SUVS1btoSamhr+/PNP6TqBsbGxGDhwILKzswstlq0s9PX1ceTIETRr1kzsKCQnKioqePHiBYyNjcWOIprr16+jc+fOSE9Px+vXr2FoaIj4+HhoaWnBxMREKe88A2V3Kv4rV67A19e3yKLdz89PpFSkzFjIUYlVoUIF3LhxA9WqVYOBgQGCgoJQq1YthIaGonv37kp9t4LKjocPH6JHjx4IDw9H1apVAQBRUVGws7ODv78/bG1tRU4oH9bW1jh69Chq1qwpdhS5OnToEDp16gQ1NbWPzmaobHfbVVRUoKen99G7rco8E2/r1q1hZ2eH9evXQ19fH6GhoVBTU8OAAQMwYcIEuLm5iR1RrsrSVPx79uzBoEGD0KFDB5w4cQIdOnTAgwcPEBsbix49emDr1q1iRyQlxEKOSqxKlSrh9OnTcHBwQK1atbBo0SK4uLggNDQUzZo1U7opqzt37ozdu3dLu9n9+uuvGDt2LPT19QEACQkJaNGiBe7cuSNiSpIHQRBw4sQJ3Lt3D4IgwMHBAe3atVPq7oZ//vknDh48iO3btyv1xD4qKiqIjY2FiYlJmbvbrqKiglWrVhXZdfhtgwcPVlAixdPX10dwcDDs7e2hr6+PixcvombNmggODsbgwYNx7949sSPKRWBgIFq1aiV2DIVycnLCDz/8gLFjx0p7EVlbW+OHH36AmZkZ5s2bJ3ZEUkIs5KjEcnV1RZcuXTBy5EhMmzYNBw4cwJAhQ+Dn5wcDAwOcPHlS7IjF6u2JAQBAV1cXN27ckE5V/uLFC1SuXFnpPuxR2VGvXj2Z4vThw4cQBAFWVlaFxoiFhIQoOh4Vs7eL2LLK2NgY58+fh52dHezt7bF69Wp07NgR9+7dQ/369ZGeni52RLlQV1dHpUqV0K9fPwwYMAC1a9cWO5LcaWtr4/bt27CysoKRkRHOnDkDR0dH3L17F23btsXz58/FjkhKiJOdUIm1cuVK6V23uXPnIi0tDX/99RdsbW3h5eUlcrri9+41FV5jKRvmz5//wednz56toCTy96nraymrP/74A3369IGGhobM9uzsbGm3LGWizHeUP1W9evVw9epV2NnZoU2bNpg9ezbi4+OxY8cOODo6ih1Pbp49e4Y9e/Zg9+7dWLp0KWrXro0BAwagX79+qFKlitjx5MLQ0BCvXr0CUDCx0a1bt+Do6Ijk5GSlLdhJfLwjR1RCvHv1+u0pmwHekVNW7y6InJOTg8jISJQrVw7VqlXjnSkl8u5d9zcSEhJgYmKidOc278gBV69exatXr9CmTRu8fPkSgwcPRlBQEGxtbeHj44O6deuKHVHuIiMjsWvXLuzevRv37t1Dy5Ytcfr0abFjFZsbN26gbt266NevHxo0aIDJkyfj119/xW+//Ybu3bvjxIkTqF+/Pic7IbngHTkq0ZKTk7Fv3z5ERERg6tSpMDQ0REhICExNTWFubi52vGIlkUgKXcHmFW3lV9SCsqmpqRgyZAh69OghQiLFuHLlCvLz89G4cWOZ7cHBwVBVVUWDBg1ESiY/giAUeU4/ffr0o+PISiMujA2Zn2NjY2McPXpUxDTisLa2xowZM1CnTh14eHgo3Uy89evXR7169eDq6oq+ffsCANzd3aGmpoagoCC4ubnBw8ND5JSkrHhHjkqssLAwtGvXTrqeVnh4OGxsbODh4YEnT57gjz/+EDtisVJRUUGnTp2k3a4OHz6Mtm3bQltbGwCQlZWFgIAApbtqT0W7desWunbtqrSzszZq1AjTpk1Dz549Zbb7+flhyZIlCA4OFilZ8XszNjA0NBS1atVCuXL/XUPNy8tDZGQknJ2dsXfvXhFTkjy0bdsWfn5+0kmr3khNTYWrq6tS3Zkqyvnz57Fz507s27cPmZmZcHFxQf/+/dGpUyexoxWbixcvwsfHB3v37kVOTg7c3NwwfPhwtGnTRuxoVAawkKMSq127dqhfvz6WLl0q083wwoUL6Nevn9J9wB06dOgn7ccpjMuGoKAgdOvWDUlJSWJHkQsdHR2EhYVJuw6/ERkZCScnJ+lYE2XwZra6efPm4eeff4aOjo70OXV1dVhZWeG7776Durq6WBFJTt7XvTQuLg7m5ubIyckRKZl8/fLLL9i9ezeePXuGdu3aoX///nB1dVXqGWozMjKwd+9ebN26FefOnYOVlRWGDRuGwYMHK+24QBIfu1ZSiXXlyhVs3Lix0HZzc3PExsaKkEi+WKCVTatXr5Z5LAgCnj9/jh07dsDZ2VmkVPKnoaGBFy9eFCrknj9/LnPHShnMmTMHAGBlZYXvv/++0GQnpHzCwsKk/75z547M36y8vDwEBAQo3fCAt509exZTpkxBnz59YGRkJHYchdDU1MTgwYMxePBgREREYOvWrdi4cSPmzp2L9u3bl8lutSR/vCNHJZapqSkCAgJQr149mTtyx48fx/DhwxEdHS12RKKvZm1tLfNYRUUFxsbGaNu2Ldzd3VGhQgWRksnX999/j9jYWBw8eFA6Piw5ORmurq4wMTFRym6G0dHRkEgk0qvzly9fxq5du+Dg4IBRo0aJnI6Kk4qKinQ8ZFEfszQ1NbFmzRoMGzZM0dFIQdLS0rBz50788ssvSE5O5rAIkgsWclRijRo1Ci9fvsTevXthaGiIsLAwqKqqwtXVFS1btsSqVavEjkhEXygmJgYtW7ZEQkKCdObOGzduwNTUFCdOnICFhYXICYtfixYtMGrUKAwcOBCxsbGws7ND7dq1cf/+fYwfP16plpoo6548eQJBEGBjY4PLly/D2NhY+py6ujpMTEygqqoqYsLid+jQIXTq1Alqamo4dOjQB/d1cXFRUCrFCwwMhI+PD/bv3w9VVVX07t0bw4cPxzfffCN2NFJCLOSoxEpNTUXnzp1x+/ZtvHr1CpUrV0ZsbCyaNGmCo0ePSicBIVIWT58+hUQiUeouV297/fo1du7cidDQUGhqasLJyQl9+/YttDi4sjAwMMClS5ekC0P/9ddfOH/+PI4fP47Ro0fj0aNHYkck+mJvjwdUUVF5734SiUTp7k5FR0dj27Zt2LZtGyIjI9G0aVMMHz4cvXv35mcVkivlGohASkVXVxdBQUE4ffo0QkJCkJ+fj/r166Ndu3ZiRyMqNvn5+fD09MSKFSuQlpYGoGANwZ9//hkzZ8784Aei0k5bW7tMdSnMycmRjo87efKk9K5EjRo18Pz5czGjkRzdv38fZ8+eRVxcXKElGZTpLuzbbXvf0hNRUVHSMaPKon379jhz5gyMjY0xaNAgDBs2DPb29mLHojKCd+SIiETk7u4Ob29vzJs3D82aNYMgCDh//jzmzp2LkSNH4tdffxU7otzs2LEDGzduxKNHj3Dx4kVYWlrCy8sLNjY26N69u9jxil3jxo3Rpk0bdOnSBR06dMClS5dQp04dXLp0CT179sTTp0/FjkjFbPPmzRgzZgyMjIxQqVIlmXUEJRIJQkJCREyneKGhoahfv75S3ZFzcXHB8OHD0bVrV6XrLkslHws5KrHGjx8PW1tbjB8/Xmb777//jocPH3KMHCmFypUrY8OGDYXGjBw8eBA//vgjYmJiREomX+vXr8fs2bMxceJEeHp64vbt27CxscG2bduwfft2nDlzRuyIxe7s2bPo0aMHUlNTMXjwYPj4+AAomKr93r178PPzEzkhFTdLS0v8+OOPmD59uthRSgRlLOSIxMRCjkosc3NzHDp0CP/73/9ktoeEhMDFxYVXr0kplC9fHmFhYbCzs5PZHh4ejrp16yIjI0OkZPLl4OCAhQsXwtXVVWZW2lu3bqF169aIj48XO6Jc5OXlITU1FQYGBtJtjx8/hpaWVqG1xqj009XVxY0bNwots1FWsZAjKl7KO/iCSr2EhATptORv09XVVdoPeVT21KlTB7///nuh7b///jucnJxESKQYkZGR0tkq36ahoYHXr1+LkEgxVFVVZYo4oGB9ORZxyqlXr144fvy42DGISElxshMqsWxtbREQEIBx48bJbP/nn394dZOUxtKlS9GlSxecPHkSTZo0gUQiwYULFxAdHa3UC8haW1vjxo0bsLS0lNn+zz//wMHBQaRU8mVtbS0zRupdnLVS+dja2sLDwwOXLl2Co6NjoRlZ3x06UNq5ubl98Pnk5GTFBCEqI1jIUYk1efJkjBs3Di9fvkTbtm0BAKdOncKKFSs4Po6URqtWrXD//n2sXbsW9+7dgyAIcHNzw6hRozB37ly0aNFC7IhyMXXqVIwdOxaZmZkQBAGXL1/G7t27sWjRImzZskXseHIxceJEmcc5OTm4fv06AgICMHXqVHFCkVxt2rQJOjo6CAwMRGBgoMxzEolE6Qq5onrRvPv8oEGDFJSGSPlxjByVaOvXr8evv/6KZ8+eASjogjR37lz+ISClVxbGkmzevBmenp6Ijo4GUDAudu7cuRg+fLjIyRRr7dq1uHr1KrZu3Sp2FCIiKkVYyFGp8PLlS2hqakJHR0fsKEQKURYKuTfi4+ORn59fZseJPXr0CHXr1kVqaqrYUUhOsrOzERkZiWrVqqFcOXaGIqLiwclOqFQwNjZmEUekZHJzc3Hy5Ens378fmpqaAIBnz55JF0YvK/bt2wdDQ0OxY5AcpKenY/jw4dDS0kKtWrUQFRUFoGBs3OLFi0VOR0SlHS8LUYn14sULTJkyBadOnUJcXBzevXlcFu5UECmrJ0+ewNnZGVFRUcjKykL79u1RoUIFLF26FJmZmdiwYYPYEYtdvXr1ZCY7EQQBsbGxePnyJdatWydiMpIXd3d3hIaG4uzZs3B2dpZub9euHebMmYMZM2aImI6ISjsWclRiDRkyBFFRUfDw8ICZmdkHZ3sjKm3K+uxuEyZMQIMGDRAaGoqKFStKt/fo0QMjRowQMZn8uLq6yjxWUVGBsbExWrdujRo1aogTiuTK398ff/31F7755huZv2EODg6IiIgQMRkRKQMWclRiBQUF4dy5c6hbt67YUYiKXVmf3S0oKAjnz5+Hurq6zHZLS0vExMSIlEq+5syZI3YEUrCXL18WOfbz9evXvDhJRF+NhRyVWBYWFoW6UxIpi7I+Q2F+fn6R3aOfPn2KChUqiJBIMfLy8uDv74+7d+9CIpHAwcEBLi4uUFVVFTsayUHDhg1x5MgR/PTTTwAgLd42b96MJk2aiBmNiJQACzkqsVatWoUZM2Zg48aNsLKyEjsOERWj9u3bY9WqVdi0aROAgg+4aWlpmDNnDjp37ixyOvl4+PAhOnfujJiYGNjb20MQBNy/fx8WFhY4cuQIqlWrJnZEKmaLFi2Cs7Mz7ty5g9zcXPz222+4ffs2Ll68WGhdOSKiz8XlB6jEMjAwQHp6OnJzc6GlpQU1NTWZ5xMTE0VKRkRf69mzZ2jTpg1UVVXx4MEDNGjQAA8ePICRkRH+/fdfpVyKoHPnzhAEATt37pTOUpmQkIABAwZARUUFR44cETkhycPNmzexfPlyXLt2Dfn5+ahfvz6mT58OR0dHsaMRUSnHQo5KrO3bt3/w+cGDBysoCRHJQ0ZGBnbv3o2QkBDpB9z+/ftLlyJQNtra2rh06VKhD/ChoaFo1qxZmVt2gYiIvg4LOSIiIgUwNDTE33//jaZNm8psP3/+PLp168ZeBkosLi4OcXFxyM/Pl9nu5OQkUiIiUgYcI0elQkZGBnJycmS26erqipSGiIpDeHg41qxZI534o0aNGhg3bpzSTsXftWtXjBo1Ct7e3mjUqBEAIDg4GKNHj4aLi4vI6Ugerl27hsGDB+Pu3buFJu+SSCRcD5WIvgrvyFGJ9fr1a0yfPh179+5FQkJCoef5B5Co9Nq3bx/69u2LBg0aSGfvu3TpEq5cuYJdu3ahV69eIicsfsnJyRg8eDAOHz4sHfObm5sLFxcXbNu27aNLUlDp4+TkBFtbW0yfPh2mpqaFlhywtLQUKRkRKQMWclRijR07FmfOnMH8+fMxaNAgrF27FjExMdi4cSMWL16M/v37ix2RiL6QjY0NBgwYgPnz58tsnzNnDnbs2IFHjx6JlEz+Hj58KL1D4+DgAFtbW7EjkZxUqFAB169f5zEmIrlgIUclVtWqVfHHH3+gdevW0NXVRUhICGxtbbFjxw7s3r0bR48eFTsiEX0hLS0thIWFFfqA++DBA9SpUwfp6ekiJSMqPq6urhg4cCC+++47saMQkRLiGDkqsRITE2FtbQ2gYDzcm4kAmjdvjjFjxogZjYi+UuvWrXHu3LlChVxQUBBatGghUir56tmzJxo0aIAZM2bIbF+2bBkuX74MX19fkZKRvGzZsgWDBw/GrVu3ULt27ULL6HBsJBF9DRZyVGLZ2Njg8ePHsLS0hIODA/bu3YtGjRrh8OHD0NfXFzseEX0FFxcXTJ8+HdeuXcM333wDoGCMnK+vL+bNm4dDhw7J7KsMAgMDMWfOnELbnZ2dsXz5chESkbxduHABQUFB+Oeffwo9x8lOiOhrsWsllVheXl5QVVXF+PHjcebMGXTp0gV5eXnIzc3FypUrMWHCBLEjEtEXUlFR+aT9lOnDrqamJm7cuAF7e3uZ7ffu3UO9evWQkZEhUjKSFysrK3Tt2hUeHh4wNTUVOw4RKRkWclRqREVF4erVq6hWrRrq1Kkjdhwios/SsGFDdOvWDbNnz5bZPnfuXBw+fBjXrl0TKRnJS4UKFXDjxg1Uq1ZN7ChEpITYtZJKpPz8fGzbtg1+fn54/PgxJBIJrK2t0bNnTy6gSlSKBQcHIzExEZ06dZJu++OPPzBnzhy8fv0arq6uWLNmDTQ0NERMKR8eHh747rvvEBERgbZt2wIATp06hV27dmHfvn0ipyN5cHNzw5kzZ1jIEZFcsJCjEkcQBLi4uODo0aOoU6cOHB0dIQgC7t69iyFDhsDPzw/+/v5ixySiLzB37ly0bt1aWsjdvHkTw4cPx5AhQ1CzZk0sW7YMlStXxty5c8UNKgcuLi7w9/fHwoULsW/fPmhqaqJOnTo4ffo0dHV1xY5HcmBnZwd3d3cEBQXB0dGx0GQn48ePFykZESkDdq2kEmfr1q2YMGECDh48iDZt2sg8d/r0abi6uuL333/HoEGDREpIRF/KzMwMhw8fRoMGDQAAM2fORGBgIIKCggAAvr6+mDNnDu7cuSNmTIVITk7Gzp074e3tjdDQUKUZC0j/eTPzclEkEolSr5dIRPLHO3JU4uzevRu//PJLoSIOANq2bYsZM2Zg586dLOSISqGkpCSZSR8CAwPh7OwsfdywYUNER0eLEU1hTp8+DR8fH/j5+cHS0hLfffcdvL29xY5FchAZGSl2BCJSYp82bRiRAoWFhcl8sHtXp06dEBoaqsBERFRcTE1NpR9us7OzERISgiZNmkiff/XqVaHuZ8rg6dOn8PT0hI2NDfr27QsDAwPk5ORg//798PT0RL169cSOSEREpQzvyFGJk5iY+MFpmk1NTZGUlKTARERUXJydnTFjxgwsWbIE/v7+0NLSklkAPCwsTOkmhujcuTOCgoLQtWtXrFmzBs7OzlBVVcWGDRvEjkZyNmzYsA8+7+Pjo6AkRKSMWMhRiZOXl4dy5d7/o6mqqorc3FwFJiKi4uLp6Qk3Nze0atUKOjo62L59O9TV1aXP+/j4oEOHDiImLH7Hjx/H+PHjMWbMGFSvXl3sOKRA7150zMnJwa1bt5CcnCyduZSI6EuxkKMSRxAEDBky5L3Tj2dlZSk4EREVF2NjY5w7dw4pKSnQ0dGBqqqqzPO+vr7Q0dERKZ18nDt3Dj4+PmjQoAFq1KiBgQMHok+fPmLHIgU4cOBAoW35+fn48ccfYWNjI0IiIlImnLWSSpyhQ4d+0n5bt26VcxIiouKTnp6OPXv2wMfHB5cvX0ZeXh5WrlyJYcOGoUKFCmLHIwUKDw9H69at8fz5c7GjEFEpxkKOiIhIwcLDw+Ht7Y0dO3YgOTkZ7du3x6FDh8SORQpy9OhRDB48GC9fvhQ7ChGVYizkiIiIRJKXl4fDhw/Dx8eHhZwSmjx5ssxjQRDw/PlzHDlyBIMHD8bvv/8uUjIiUgYs5IiIiIjk4N31UFVUVGBsbIy2bdti2LBhH5zYi4joY1jIERERERUzQRAQFRUFY2NjaGlpiR2HiJQQFwQnIiIiKmaCIKB69eqIiYkROwoRKSkWckRERETFTEVFBdWrV0dCQoLYUYhISbGQIyIiIpKDpUuXYurUqbh165bYUYhICXGMHBEREZEcGBgYID09Hbm5uVBXV4empqbM84mJiSIlIyJlwOmSiIiIiOTAy8sLEolE7BhEpKR4R46IiIiIiKiU4Rg5IiIiIjlQVVVFXFxcoe0JCQlQVVUVIRERKRMWckRERERy8L5OT1lZWVBXV1dwGiJSNhwjR0RERFSMVq9eDQCQSCTYsmULdHR0pM/l5eXh33//RY0aNcSKR0RKgmPkiIiIiIqRtbU1AODJkyeoUqWKTDdKdXV1WFlZYf78+WjcuLFYEYlICbCQIyIiIpKDNm3awM/PDwYGBmJHISIlxEKOiIiISAHy8vJw8+ZNWFpasrgjoq/GyU6IiIiI5GDixInw9vYGUFDEtWzZEvXr14eFhQXOnj0rbjgiKvVYyBERERHJga+vL+rUqQMAOHz4MB4/fox79+5h4sSJmDlzpsjpiKi0YyFHREREJAcJCQmoVKkSAODo0aPo1asX7OzsMHz4cNy8eVPkdERU2rGQIyIiIpIDU1NT3LlzB3l5eQgICEC7du0AAOnp6VwQnIi+GteRIyIiIpKDoUOHonfv3jAzM4NEIkH79u0BAMHBwVxHjoi+Ggs5IiIiIjmYO3cuateujejoaPTq1QsaGhoAAFVVVcyYMUPkdERU2nH5ASIiIiIiolKGd+SIiIiI5OTUqVM4deoU4uLikJ+fL/Ocj4+PSKmISBmwkCMiIiKSg3nz5mH+/Plo0KCBdJwcEVFxYddKIiIiIjkwMzPD0qVLMXDgQLGjEJES4vIDRERERHKQnZ2Npk2bih2DiJQUCzkiIiIiORgxYgR27doldgwiUlIcI0dEREQkB5mZmdi0aRNOnjwJJycnqKmpyTy/cuVKkZIRkTLgGDkiIiIiOWjTps0Hnz9z5oyCkhCRMmIhR0REREREVMqwayURERFRMXJzc/voPhKJBPv371dAGiJSVizkiIiIiIqRnp6e2BGIqAxg10oiIiIiIqJShssPEBERERERlTIs5IiIiIiIiEoZFnJERERERESlDAs5IiIiIiKiUoaFHBERERERUSnDQo6IiIiIiKiUYSFHRERERERUyvwf0+4JqT31m8YAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Please note we resort to our Main Spotify DataFrame for this analysis which ensures full data integrity, \n",
    "## taking into account all tracks.\n",
    "\n",
    "## Below dropping all tracks that have any NaN values across any of the 10 elements, \n",
    "\n",
    "## Turns out that only the following two tracks have NaN values:\n",
    "\n",
    "### 11890       Natasha Bedingfield\n",
    "### 13843    White Noise for Babies\n",
    "\n",
    "rows_with_na = main_sy_df[['Danceability', 'Energy', 'Key', 'Loudness', \n",
    "                           'Speechiness', 'Acousticness', 'Tempo', 'Instrumentalness',\n",
    "                           'Liveness', 'Valence']].isna().any(axis=1)\n",
    "\n",
    "\n",
    "corr_spotify_df = main_sy_df[~rows_with_na]\n",
    "\n",
    "\n",
    "# Preparing our Spotify Correlation Matrix\n",
    "\n",
    "corr_spotify = corr_spotify_df[['Danceability', 'Energy', 'Key', 'Loudness', \n",
    "                                   'Speechiness', 'Acousticness', 'Tempo', 'Instrumentalness',\n",
    "                                   'Liveness', 'Valence']]\n",
    "\n",
    "corr_spotify_matrix = corr_spotify.corr()\n",
    "\n",
    "\n",
    "\n",
    "# Plotting our Correlation Heatmap using our customised color palette\n",
    "\n",
    "## We have created our customised Spotify-themed heatmap colors\n",
    "spotify_target_colors = [\"#111111\", \"#535353\", \"#D1D7D0\", \"#F5F5F5\", \"#E1ECE3\", \"#62D089\", \"#1DB954\", \"#457E59\"]\n",
    "\n",
    "## * Darker Green means Stronger Positive Correlation\n",
    "## * Darker Black means Stronger Negative Correlation\n",
    "\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(corr_spotify_matrix, annot=True, cmap=spotify_target_colors)\n",
    "\n",
    "plt.title(\"Correlation Heatmap Across 10 Various Song Elements\", fontstyle='italic', pad=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bc71fb1",
   "metadata": {},
   "source": [
    "# 2.2.7.1 How does the Data Distribution look among All Tracks across Critical Track Elements?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "650a1831",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x1100 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Based on the analysis above, we have identified that the following have a meaningful positive/negative \n",
    "## correlation among themselves:\n",
    "\n",
    "## 1) Energy: \"is a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy. For example, death metal has high energy, while a Bach prelude scores low on the scale. Perceptual features contributing to this attribute include dynamic range, perceived loudness, timbre, onset rate, and general entropy.\"\n",
    "## 2) Loudness: \"the overall loudness of a track in decibels (dB). Loudness values are averaged across the entire track and are useful for comparing relative loudness of tracks. Loudness is the quality of a sound that is the primary psychological correlate of physical strength (amplitude). Values typically range between -60 and 0 db.\"\n",
    "## 3) Acousticness: \"a confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic.\"\n",
    "## 4) Instrumentalness: \"predicts whether a track contains no vocals. \"Ooh\" and \"aah\" sounds are treated as instrumental in this context. Rap or spoken word tracks are clearly \"vocal\". The closer the instrumentalness value is to 1.0, the greater likelihood the track contains no vocal content. Values above 0.5 are intended to represent instrumental tracks, but confidence is higher as the value approaches 1.0.\"\n",
    "## 5) Danceability: \"describes how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity. A value of 0.0 is least danceable and 1.0 is most danceable.\"\n",
    "## 6) Valence: \"a measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry).\"\n",
    "\n",
    "hist_corr_columns = ['Energy', 'Loudness', 'Acousticness', 'Instrumentalness', 'Danceability', 'Valence']\n",
    "\n",
    "\n",
    "# Visualising the data distribution across all 6 elements:\n",
    "\n",
    "fig, axs = plt.subplots(3, 2, figsize=(12, 11))\n",
    "axs = axs.flatten()\n",
    "\n",
    "for i, column in enumerate(hist_corr_columns):\n",
    "\n",
    "    sns.histplot(spotify_df[column], bins=10, color='#62D089', edgecolor='black', ax=axs[i], kde=True)\n",
    "   \n",
    "    axs[i].set_xlabel('Data Value')\n",
    "    axs[i].set_ylabel('Track Count')\n",
    "    axs[i].set_title(f'Data Distribution for {column}', fontstyle='italic', pad=10)\n",
    "    \n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6076359",
   "metadata": {},
   "source": [
    "# 2.2.7.2 How does the Data Distribution look among Only the Top 50 Songs across Critical Track Elements Identified Previously?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d251c842",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x1100 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# First, we form a new DataFrame that only includes numeric information across the 6 critical song elements above\n",
    "\n",
    "## We are also calculating the mean for each track to prevent duplicate tracks from polluting the existing data\n",
    "\n",
    "correlated_track_elements_spotify_df = spotify_df.groupby('Track')[['Energy', 'Loudness', \n",
    "                                                                   'Acousticness', 'Instrumentalness', \n",
    "                                                            'Danceability', 'Valence']].mean().reset_index()\n",
    "\n",
    "\n",
    "# Second, we are only taking into account this numeric data for our Top 50 Spotify Songs\n",
    "\n",
    "top_50_correlated_track_elements_spotify_df = correlated_track_elements_spotify_df[correlated_track_elements_spotify_df['Track'].isin(top_50_spotify_songs_df['Track'])]\n",
    "\n",
    "\n",
    "## Other subsequent data editing operations\n",
    "\n",
    "top_50_correlated_track_elements_spotify_df = top_50_correlated_track_elements_spotify_df.sort_values(by='Track', ascending=True) #Sorting the new DataFrame involved\n",
    "top_50_correlated_track_elements_spotify_df = top_50_correlated_track_elements_spotify_df .drop(columns=['Track'])\n",
    "top_50_correlated_track_elements_spotify_df.index = range(1, len(top_50_correlated_track_elements_spotify_df ) + 1) #Editing the index\n",
    "\n",
    "\n",
    "# Third, we are concatenating the Top 50 songs and their respective critical track element data\n",
    "\n",
    "correlated_track_elements_w_top_50_spotify_songs_df = pd.concat([top_50_spotify_songs_df, \n",
    "                                                           top_50_correlated_track_elements_spotify_df], axis=1)\n",
    "\n",
    "\n",
    "\n",
    "# Finally, we are visualising the data distribution across these Top Songs among the critical track elements\n",
    "\n",
    "elements = ['Energy', 'Loudness', 'Acousticness', 'Instrumentalness', 'Danceability', 'Valence']\n",
    "\n",
    "fig, axs = plt.subplots(3, 2, figsize=(12, 11))\n",
    "axs = axs.flatten()\n",
    "\n",
    "\n",
    "for i, element in enumerate(elements):\n",
    "    \n",
    "    sns.boxplot(data=correlated_track_elements_w_top_50_spotify_songs_df, x=element, color='#8AE2B3', ax=axs[i]) #Lighter version of the color #62D089:\n",
    "    axs[i].set_xlabel('Data Value')\n",
    "    axs[i].set_ylabel('')\n",
    "    axs[i].set_title(f'Box Data Distribution for {element}')\n",
    "    \n",
    "    \n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72422e94",
   "metadata": {},
   "source": [
    "# 2.2.8 What is the Data Count Highlighting Each Critical Element for Only Top 50 Songs?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "74330d03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Categorising each critical element for data classification in order to calculate the count per each.\n",
    "\n",
    "energy_bins = [0, 0.2, 0.4, 0.6, 0.8, 1]\n",
    "energy_labels = ['Low Energy', 'Low-Medium Energy', 'Medium Energy', 'Medium-High Energy', 'High Energy']\n",
    "top_50_correlated_track_elements_spotify_df['Energy Status'] = pd.cut(top_50_correlated_track_elements_spotify_df['Energy'],\n",
    "                                                                      bins=energy_bins, labels=energy_labels)\n",
    "\n",
    "loudness_bins = [-60, -40, -20, -10, -5, 0]\n",
    "loudness_labels = ['Low dB', 'Low-Medium dB', 'Medium dB', 'High dB', 'Extreme dB']\n",
    "top_50_correlated_track_elements_spotify_df['Loudness Status'] = pd.cut(top_50_correlated_track_elements_spotify_df['Loudness'],\n",
    "                                                                        bins=loudness_bins, labels=loudness_labels)\n",
    "\n",
    "acousticness_bins = [0, 0.2, 0.4, 0.6, 0.8, 1]\n",
    "acousticness_labels = ['Low Acoustic', 'Low-Medium Acoustic', 'Medium Acoustic', \n",
    "                       'Medium-High Acoustic', 'High Acoustic']\n",
    "top_50_correlated_track_elements_spotify_df['Acousticness Status'] = pd.cut(top_50_correlated_track_elements_spotify_df['Acousticness'], \n",
    "                                                                            bins=acousticness_bins, labels=acousticness_labels)\n",
    "\n",
    "instrumentalness_bins = [0, 0.01, 0.49, 0.79, 1]\n",
    "instrumentalness_labels = ['Extremely Little Instrumental', 'Low Instrumental', 'Instrumental', 'Highly Instrumental']\n",
    "\n",
    "top_50_correlated_track_elements_spotify_df['Instrumentalness Status'] = pd.cut(top_50_correlated_track_elements_spotify_df['Instrumentalness'], \n",
    "                                                                                bins=instrumentalness_bins, labels=instrumentalness_labels)\n",
    "top_50_correlated_track_elements_spotify_df['Instrumentalness Status'] = top_50_correlated_track_elements_spotify_df['Instrumentalness Status'].fillna('Extremely Little Instrumental') #Due to extremely numerically small numbers, we are taking this precaution\n",
    "\n",
    "\n",
    "danceability_bins = [0, 0.2, 0.4, 0.6, 0.8, 1]\n",
    "danceability_labels = ['Least Danceable', 'Low Danceable', 'Medium Danceable', 'Good Danceable', 'Most Danceable']\n",
    "top_50_correlated_track_elements_spotify_df['Danceability Status'] = pd.cut(top_50_correlated_track_elements_spotify_df['Danceability'], bins=danceability_bins, labels=danceability_labels)\n",
    "\n",
    "\n",
    "valence_bins = [0, 0.24, 0.44, 0.54, 0.74, 1]\n",
    "valence_labels = ['Extreme Negative Valence', 'Negative Valence', 'Neutral', 'Positive Valence', 'Extreme Positive']\n",
    "top_50_correlated_track_elements_spotify_df['Valence Status'] = pd.cut(top_50_correlated_track_elements_spotify_df['Valence'], bins=valence_bins, labels=valence_labels)\n",
    "\n",
    "\n",
    "\n",
    "# Plotting 6 different countplots to highlight the count for each critical track element among Top 50 Songs:\n",
    "\n",
    "spotify_target_colors = [\"#E1ECE3\", \"#D1D7D0\", \"#62D089\", \"#1DB954\", \"#457E59\"]\n",
    "\n",
    "elements = ['Energy Status', 'Loudness Status', 'Acousticness Status', \n",
    "            'Instrumentalness Status', 'Danceability Status', 'Valence Status']\n",
    "\n",
    "fig, axs = plt.subplots(3, 2, figsize=(15, 18))\n",
    "axs = axs.flatten()\n",
    "\n",
    "for i, element in enumerate(elements):\n",
    "\n",
    "    sns.countplot(data=top_50_correlated_track_elements_spotify_df, y=element, palette=spotify_target_colors , ax=axs[i])\n",
    "    axs[i].set_xlabel('Count')\n",
    "    axs[i].set_ylabel('')\n",
    "    axs[i].set_title(f'Data Count for {element}')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12ab9b7f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2eb33039",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a5890a8d",
   "metadata": {},
   "source": [
    "# 3. Data Operations for a Potential Relationship Between Spotify and YouTube"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61fe2a3f",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a160dfd2",
   "metadata": {},
   "source": [
    "# 3.1 Data Preprocessing for a YouTube DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d1148730",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preparing the YouTube DataFrame\n",
    "\n",
    "youtube_columns = ['Artist', 'Track', 'Title', 'Channel', 'Views',\n",
    "                   'Likes', 'Comments', 'Licensed', 'official_video']\n",
    "\n",
    "youtube_df = main_sy_df[youtube_columns]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "2aa22b3a",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/l9/k4g1l0yd3b9952lfcyrm9wzw0000gn/T/ipykernel_51863/2159373184.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  youtube_df.loc[:,'Views in Billions'] = (youtube_df.loc[:,'Views'] / 1000000000).round(2)\n",
      "/var/folders/l9/k4g1l0yd3b9952lfcyrm9wzw0000gn/T/ipykernel_51863/2159373184.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  youtube_df.loc[:,'Likes in Millions'] = (youtube_df.loc[:,'Likes'] / 1000000).round(2)\n",
      "/var/folders/l9/k4g1l0yd3b9952lfcyrm9wzw0000gn/T/ipykernel_51863/2159373184.py:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  youtube_df.loc[:,'Comments in Millions'] = (youtube_df.loc[:,'Comments'] / 1000000).round(2)\n",
      "/var/folders/l9/k4g1l0yd3b9952lfcyrm9wzw0000gn/T/ipykernel_51863/2159373184.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  youtube_df.drop(columns=['Views', 'Likes', 'Comments'], inplace=True)\n"
     ]
    }
   ],
   "source": [
    "# Converting critical KPIs into more readable versions, representing them in billions, such as \n",
    "\n",
    "## Number of Views\n",
    "## Number of Likes\n",
    "## Number of Comments\n",
    "\n",
    "youtube_df.loc[:,'Views in Billions'] = (youtube_df.loc[:,'Views'] / 1000000000).round(2)\n",
    "youtube_df.loc[:,'Likes in Millions'] = (youtube_df.loc[:,'Likes'] / 1000000).round(2)\n",
    "youtube_df.loc[:,'Comments in Millions'] = (youtube_df.loc[:,'Comments'] / 1000000).round(2)\n",
    "\n",
    "youtube_df.drop(columns=['Views', 'Likes', 'Comments'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c9b6a81",
   "metadata": {},
   "source": [
    "# 3.2 Spotify-YouTube EDA Relationship Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "046db6f5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "b77b771c",
   "metadata": {},
   "source": [
    "# 3.2.1 Is There Any Strong Parallelism Between Spotify and YouTube Popularity? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "406cfd12",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Preparing each sub-YouTube DataFrames to begin investigating and gauging the relationship across numerous variables\n",
    "\n",
    "## Views\n",
    "\n",
    "youtube_top_50_views_df = youtube_df.groupby(['Track']).agg(Total_Views_in_Billions=('Views in Billions','sum')).sort_values(\n",
    "    by='Total_Views_in_Billions', ascending=False).reset_index().head(50)\n",
    "\n",
    "youtube_top_50_views_df = youtube_top_50_views_df.rename(columns={'Total_Views_in_Billions': 'Total Views in Billions'})\n",
    "\n",
    "\n",
    "## Likes\n",
    "\n",
    "youtube_top_50_likes_df = youtube_df.groupby(['Track']).agg(Total_Likes_in_Millions=('Likes in Millions','sum')).sort_values(\n",
    "    by='Total_Likes_in_Millions', ascending=False).reset_index().head(50)\n",
    "\n",
    "youtube_top_50_likes_df = youtube_top_50_likes_df.rename(columns={'Total_Likes_in_Millions': 'Total Likes in Millions'})\n",
    "\n",
    "\n",
    "## Comments\n",
    "\n",
    "youtube_top_50_comments_df = youtube_df.groupby(['Track']).agg(Total_Comments_in_Millions=('Comments in Millions','sum')).sort_values(\n",
    "    by='Total_Comments_in_Millions', ascending=False).reset_index().head(50)\n",
    "\n",
    "youtube_top_50_comments_df = youtube_top_50_comments_df.rename(columns={'Total_Comments_in_Millions': 'Total Comments in Millions'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2c0603c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Merging the YouTube Top 50 Views DataFrame with our earlier Top 50 Spotify Tracks for the investigation\n",
    "\n",
    "youtube_top_50_views_df = youtube_top_50_views_df.merge(top_50_spotify_songs_df[['Track', \n",
    "                                                                           'Stream Count in Billions']], \n",
    "                                                                           on='Track', how='left')\n",
    "\n",
    "# Other necessary data operations for the DataFrame at hand\n",
    "\n",
    "youtube_top_50_views_df['Stream Count in Billions'].fillna('No', inplace=True)\n",
    "youtube_top_50_views_df['Top 50 Spotify Track?'] = youtube_top_50_views_df['Stream Count in Billions'].map(\n",
    "    lambda x: 'Yes' if x != 'No' else x)\n",
    "youtube_top_50_views_df.drop(columns=['Stream Count in Billions'], inplace=True)\n",
    "\n",
    "youtube_top_50_views_df.index = range(1, len(youtube_top_50_views_df) + 1) #Editing the index\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "5dad2fc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Merging the YouTube Top 50 Likes DataFrame with our earlier Top 50 Spotify Tracks for the investigation\n",
    "\n",
    "youtube_top_50_likes_df = youtube_top_50_likes_df.merge(top_50_spotify_songs_df[['Track', \n",
    "                                                                           'Stream Count in Billions']], \n",
    "                                                                           on='Track', how='left')\n",
    "\n",
    "# Other necessary data operations for the DataFrame at hand\n",
    "\n",
    "youtube_top_50_likes_df['Stream Count in Billions'].fillna('No', inplace=True)\n",
    "youtube_top_50_likes_df['Top 50 Spotify Track?'] = youtube_top_50_likes_df['Stream Count in Billions'].map(\n",
    "    lambda x: 'Yes' if x != 'No' else x)\n",
    "youtube_top_50_likes_df.drop(columns=['Stream Count in Billions'], inplace=True)\n",
    "\n",
    "youtube_top_50_likes_df.index = range(1, len(youtube_top_50_likes_df) + 1) #Editing the index\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "7f5150fe",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Merging the YouTube Top 50 Comments DataFrame with our earlier Top 50 Spotify Tracks for the investigation\n",
    "\n",
    "youtube_top_50_comments_df = youtube_top_50_comments_df.merge(top_50_spotify_songs_df[['Track', \n",
    "                                                                           'Stream Count in Billions']], \n",
    "                                                                           on='Track', how='left')\n",
    "\n",
    "# Other necessary data operations for the DataFrame at hand\n",
    "\n",
    "youtube_top_50_comments_df['Stream Count in Billions'].fillna('No', inplace=True)\n",
    "youtube_top_50_comments_df['Top 50 Spotify Track?'] = youtube_top_50_comments_df['Stream Count in Billions'].map(\n",
    "    lambda x: 'Yes' if x != 'No' else x)\n",
    "youtube_top_50_comments_df.drop(columns=['Stream Count in Billions'], inplace=True)\n",
    "\n",
    "youtube_top_50_comments_df.index = range(1, len(youtube_top_50_comments_df) + 1) #Editing the index\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e80f782c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Data visualisation tasks to see the data distribution between Spotify and YouTube Music popularity across \n",
    "\n",
    "## Top 50 Tracks from Spotify\n",
    "## Top 50 Viewed Song Videos from YouTube\n",
    "## Top 50 Liked Song Videos from YouTube\n",
    "## Top 50 Most Commented Song Videos from YouTube\n",
    "\n",
    "fig, axs = plt.subplots(1, 3, figsize=(15, 15))\n",
    "youtube_colors = ['#E52D27', '#000000']\n",
    "\n",
    "views_counts = youtube_top_50_views_df['Top 50 Spotify Track?'].value_counts()\n",
    "likes_counts = youtube_top_50_likes_df['Top 50 Spotify Track?'].value_counts()\n",
    "comments_counts = youtube_top_50_comments_df['Top 50 Spotify Track?'].value_counts()\n",
    "\n",
    "\n",
    "# We are resorting to a custom function to add percentage values \n",
    "\n",
    "def add_percentage_labels(pct, allvals):\n",
    "    rounded_pct = round(pct)\n",
    "    absolute = int(rounded_pct / 100. * np.sum(allvals))\n",
    "    return \"{:.0f}%\\n({:d})\".format(rounded_pct, absolute)\n",
    "\n",
    "\n",
    "# Plotting all three pie charts\n",
    "\n",
    "views_pie = axs[0].pie(views_counts, autopct=lambda pct: add_percentage_labels(pct, views_counts), colors=youtube_colors, startangle=0, textprops={'color': \"white\"})\n",
    "axs[0].set_title('Top 50 Viewed Songs on YouTube also part of Top 50 Spotify Songs?', fontstyle='italic')\n",
    "axs[0].legend(['No', 'Yes'], loc='best')\n",
    "\n",
    "likes_pie = axs[1].pie(likes_counts, autopct=lambda pct: add_percentage_labels(pct, likes_counts), colors=youtube_colors, startangle=30, textprops={'color': \"white\"})\n",
    "axs[1].set_title('Top 50 Liked Songs on YouTube...?', fontstyle='italic')\n",
    "axs[1].legend(['No', 'Yes'], loc='best')\n",
    "\n",
    "comments_pie = axs[2].pie(comments_counts, autopct=lambda pct: add_percentage_labels(pct, comments_counts), colors=youtube_colors, startangle=60, textprops={'color': \"white\"})\n",
    "axs[2].set_title('Top 50 Commented Songs on YouTube...?', fontstyle='italic')\n",
    "axs[2].legend(['No', 'Yes'], loc='best')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63c15824",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}