Spotify - EDA.ipynb

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   "cell_type": "code",
   "execution_count": 6,
   "id": "29d6f735",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: seaborn in c:\\users\\srt\\anaconda3\\lib\\site-packages (0.11.2)\n",
      "Requirement already satisfied: scipy>=1.0 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from seaborn) (1.7.3)\n",
      "Requirement already satisfied: numpy>=1.15 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from seaborn) (1.21.5)\n",
      "Requirement already satisfied: matplotlib>=2.2 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from seaborn) (3.5.1)\n",
      "Requirement already satisfied: pandas>=0.23 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from seaborn) (1.5.3)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (9.0.1)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (0.11.0)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (21.3)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (1.3.2)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (2.8.2)\n",
      "Requirement already satisfied: pyparsing>=2.2.1 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (3.0.4)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from matplotlib>=2.2->seaborn) (4.25.0)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from pandas>=0.23->seaborn) (2021.3)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\srt\\anaconda3\\lib\\site-packages (from python-dateutil>=2.7->matplotlib>=2.2->seaborn) (1.12.0)\n"
     ]
    }
   ],
   "source": [
    "!pip install seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a15c12d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns # for analysis and visulaization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "2e43d3b3",
   "metadata": {},
   "outputs": [
    {
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       "      <th>energy</th>\n",
       "      <th>instrumentalness</th>\n",
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       "      <th>liveness</th>\n",
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       "      <th>mode</th>\n",
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       "      <th>tempo</th>\n",
       "      <th>time_signature</th>\n",
       "      <th>valence</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Henri Salvador</td>\n",
       "      <td>C'est beau de faire un Show</td>\n",
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       "      <td>166.969</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.814</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Martin &amp; les fées</td>\n",
       "      <td>Perdu d'avance (par Gad Elmaleh)</td>\n",
       "      <td>0BjC1NfoEOOusryehmNudP</td>\n",
       "      <td>1</td>\n",
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       "      <td>-5.559</td>\n",
       "      <td>Minor</td>\n",
       "      <td>0.0868</td>\n",
       "      <td>174.003</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Joseph Williams</td>\n",
       "      <td>Don't Let Me Be Lonely Tonight</td>\n",
       "      <td>0CoSDzoNIKCRs124s9uTVy</td>\n",
       "      <td>3</td>\n",
       "      <td>0.95200</td>\n",
       "      <td>0.663</td>\n",
       "      <td>170267</td>\n",
       "      <td>0.131</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>C</td>\n",
       "      <td>0.1030</td>\n",
       "      <td>-13.879</td>\n",
       "      <td>Minor</td>\n",
       "      <td>0.0362</td>\n",
       "      <td>99.488</td>\n",
       "      <td>5/4</td>\n",
       "      <td>0.368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Henri Salvador</td>\n",
       "      <td>Dis-moi Monsieur Gordon Cooper</td>\n",
       "      <td>0Gc6TVm52BwZD07Ki6tIvf</td>\n",
       "      <td>0</td>\n",
       "      <td>0.70300</td>\n",
       "      <td>0.240</td>\n",
       "      <td>152427</td>\n",
       "      <td>0.326</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>C#</td>\n",
       "      <td>0.0985</td>\n",
       "      <td>-12.178</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0395</td>\n",
       "      <td>171.758</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Fabien Nataf</td>\n",
       "      <td>Ouverture</td>\n",
       "      <td>0IuslXpMROHdEPvSl1fTQK</td>\n",
       "      <td>4</td>\n",
       "      <td>0.95000</td>\n",
       "      <td>0.331</td>\n",
       "      <td>82625</td>\n",
       "      <td>0.225</td>\n",
       "      <td>0.123000</td>\n",
       "      <td>F</td>\n",
       "      <td>0.2020</td>\n",
       "      <td>-21.150</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0456</td>\n",
       "      <td>140.576</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.390</td>\n",
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       "      <th>...</th>\n",
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       "      <th>232720</th>\n",
       "      <td>Soul</td>\n",
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       "      <td>2XGLdVl7lGeq8ksM6Al7jT</td>\n",
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       "      <td>0.00384</td>\n",
       "      <td>0.687</td>\n",
       "      <td>326240</td>\n",
       "      <td>0.714</td>\n",
       "      <td>0.544000</td>\n",
       "      <td>D</td>\n",
       "      <td>0.0845</td>\n",
       "      <td>-10.626</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0316</td>\n",
       "      <td>115.542</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.962</td>\n",
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       "      <th>232721</th>\n",
       "      <td>Soul</td>\n",
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       "      <td>Burning Fire</td>\n",
       "      <td>1qWZdkBl4UVPj9lK6HuuFM</td>\n",
       "      <td>38</td>\n",
       "      <td>0.03290</td>\n",
       "      <td>0.785</td>\n",
       "      <td>282447</td>\n",
       "      <td>0.683</td>\n",
       "      <td>0.000880</td>\n",
       "      <td>E</td>\n",
       "      <td>0.2370</td>\n",
       "      <td>-6.944</td>\n",
       "      <td>Minor</td>\n",
       "      <td>0.0337</td>\n",
       "      <td>113.830</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232722</th>\n",
       "      <td>Soul</td>\n",
       "      <td>Muddy Waters</td>\n",
       "      <td>(I'm Your) Hoochie Coochie Man</td>\n",
       "      <td>2ziWXUmQLrXTiYjCg2fZ2t</td>\n",
       "      <td>47</td>\n",
       "      <td>0.90100</td>\n",
       "      <td>0.517</td>\n",
       "      <td>166960</td>\n",
       "      <td>0.419</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>D</td>\n",
       "      <td>0.0945</td>\n",
       "      <td>-8.282</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.1480</td>\n",
       "      <td>84.135</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232723</th>\n",
       "      <td>Soul</td>\n",
       "      <td>R.LUM.R</td>\n",
       "      <td>With My Words</td>\n",
       "      <td>6EFsue2YbIG4Qkq8Zr9Rir</td>\n",
       "      <td>44</td>\n",
       "      <td>0.26200</td>\n",
       "      <td>0.745</td>\n",
       "      <td>222442</td>\n",
       "      <td>0.704</td>\n",
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       "      <td>A</td>\n",
       "      <td>0.3330</td>\n",
       "      <td>-7.137</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.1460</td>\n",
       "      <td>100.031</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232724</th>\n",
       "      <td>Soul</td>\n",
       "      <td>Mint Condition</td>\n",
       "      <td>You Don't Have To Hurt No More</td>\n",
       "      <td>34XO9RwPMKjbvRry54QzWn</td>\n",
       "      <td>35</td>\n",
       "      <td>0.09730</td>\n",
       "      <td>0.758</td>\n",
       "      <td>323027</td>\n",
       "      <td>0.470</td>\n",
       "      <td>0.000049</td>\n",
       "      <td>G#</td>\n",
       "      <td>0.0836</td>\n",
       "      <td>-6.708</td>\n",
       "      <td>Minor</td>\n",
       "      <td>0.0287</td>\n",
       "      <td>113.897</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.479</td>\n",
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       "<p>232725 rows × 18 columns</p>\n",
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      ],
      "text/plain": [
       "        genre               artist_name                        track_name  \\\n",
       "0       Movie            Henri Salvador       C'est beau de faire un Show   \n",
       "1       Movie         Martin & les fées  Perdu d'avance (par Gad Elmaleh)   \n",
       "2       Movie           Joseph Williams    Don't Let Me Be Lonely Tonight   \n",
       "3       Movie            Henri Salvador    Dis-moi Monsieur Gordon Cooper   \n",
       "4       Movie              Fabien Nataf                         Ouverture   \n",
       "...       ...                       ...                               ...   \n",
       "232720   Soul                     Slave                      Son Of Slide   \n",
       "232721   Soul  Jr Thomas & The Volcanos                      Burning Fire   \n",
       "232722   Soul              Muddy Waters    (I'm Your) Hoochie Coochie Man   \n",
       "232723   Soul                   R.LUM.R                     With My Words   \n",
       "232724   Soul            Mint Condition    You Don't Have To Hurt No More   \n",
       "\n",
       "                      track_id  popularity  acousticness  danceability  \\\n",
       "0       0BRjO6ga9RKCKjfDqeFgWV           0       0.61100         0.389   \n",
       "1       0BjC1NfoEOOusryehmNudP           1       0.24600         0.590   \n",
       "2       0CoSDzoNIKCRs124s9uTVy           3       0.95200         0.663   \n",
       "3       0Gc6TVm52BwZD07Ki6tIvf           0       0.70300         0.240   \n",
       "4       0IuslXpMROHdEPvSl1fTQK           4       0.95000         0.331   \n",
       "...                        ...         ...           ...           ...   \n",
       "232720  2XGLdVl7lGeq8ksM6Al7jT          39       0.00384         0.687   \n",
       "232721  1qWZdkBl4UVPj9lK6HuuFM          38       0.03290         0.785   \n",
       "232722  2ziWXUmQLrXTiYjCg2fZ2t          47       0.90100         0.517   \n",
       "232723  6EFsue2YbIG4Qkq8Zr9Rir          44       0.26200         0.745   \n",
       "232724  34XO9RwPMKjbvRry54QzWn          35       0.09730         0.758   \n",
       "\n",
       "        duration_ms  energy  instrumentalness key  liveness  loudness   mode  \\\n",
       "0             99373   0.910          0.000000  C#    0.3460    -1.828  Major   \n",
       "1            137373   0.737          0.000000  F#    0.1510    -5.559  Minor   \n",
       "2            170267   0.131          0.000000   C    0.1030   -13.879  Minor   \n",
       "3            152427   0.326          0.000000  C#    0.0985   -12.178  Major   \n",
       "4             82625   0.225          0.123000   F    0.2020   -21.150  Major   \n",
       "...             ...     ...               ...  ..       ...       ...    ...   \n",
       "232720       326240   0.714          0.544000   D    0.0845   -10.626  Major   \n",
       "232721       282447   0.683          0.000880   E    0.2370    -6.944  Minor   \n",
       "232722       166960   0.419          0.000000   D    0.0945    -8.282  Major   \n",
       "232723       222442   0.704          0.000000   A    0.3330    -7.137  Major   \n",
       "232724       323027   0.470          0.000049  G#    0.0836    -6.708  Minor   \n",
       "\n",
       "        speechiness    tempo time_signature  valence  \n",
       "0            0.0525  166.969            4/4    0.814  \n",
       "1            0.0868  174.003            4/4    0.816  \n",
       "2            0.0362   99.488            5/4    0.368  \n",
       "3            0.0395  171.758            4/4    0.227  \n",
       "4            0.0456  140.576            4/4    0.390  \n",
       "...             ...      ...            ...      ...  \n",
       "232720       0.0316  115.542            4/4    0.962  \n",
       "232721       0.0337  113.830            4/4    0.969  \n",
       "232722       0.1480   84.135            4/4    0.813  \n",
       "232723       0.1460  100.031            4/4    0.489  \n",
       "232724       0.0287  113.897            4/4    0.479  \n",
       "\n",
       "[232725 rows x 18 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tracks = pd.read_csv(\"C:\\\\Users\\\\srt\\\\Downloads\\\\SpotifyFeatures.csv\\\\SpotifyFeatures.csv\")\n",
    "df_tracks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "9e0e45ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "genre               0\n",
       "artist_name         0\n",
       "track_name          0\n",
       "track_id            0\n",
       "popularity          0\n",
       "acousticness        0\n",
       "danceability        0\n",
       "duration_ms         0\n",
       "energy              0\n",
       "instrumentalness    0\n",
       "key                 0\n",
       "liveness            0\n",
       "loudness            0\n",
       "mode                0\n",
       "speechiness         0\n",
       "tempo               0\n",
       "time_signature      0\n",
       "valence             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now Check null values from dataset\n",
    "pd.isnull(df_tracks).sum() # the sum will tell total number of null values in track"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "e154e29a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 232725 entries, 0 to 232724\n",
      "Data columns (total 18 columns):\n",
      " #   Column            Non-Null Count   Dtype  \n",
      "---  ------            --------------   -----  \n",
      " 0   genre             232725 non-null  object \n",
      " 1   artist_name       232725 non-null  object \n",
      " 2   track_name        232725 non-null  object \n",
      " 3   track_id          232725 non-null  object \n",
      " 4   popularity        232725 non-null  int64  \n",
      " 5   acousticness      232725 non-null  float64\n",
      " 6   danceability      232725 non-null  float64\n",
      " 7   duration_ms       232725 non-null  int64  \n",
      " 8   energy            232725 non-null  float64\n",
      " 9   instrumentalness  232725 non-null  float64\n",
      " 10  key               232725 non-null  object \n",
      " 11  liveness          232725 non-null  float64\n",
      " 12  loudness          232725 non-null  float64\n",
      " 13  mode              232725 non-null  object \n",
      " 14  speechiness       232725 non-null  float64\n",
      " 15  tempo             232725 non-null  float64\n",
      " 16  time_signature    232725 non-null  object \n",
      " 17  valence           232725 non-null  float64\n",
      "dtypes: float64(9), int64(2), object(7)\n",
      "memory usage: 32.0+ MB\n"
     ]
    }
   ],
   "source": [
    "# lets use info method to check total number of rows and columns \n",
    "df_tracks.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "f63828a7",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genre</th>\n",
       "      <th>artist_name</th>\n",
       "      <th>track_name</th>\n",
       "      <th>track_id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>danceability</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>energy</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>key</th>\n",
       "      <th>liveness</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>tempo</th>\n",
       "      <th>time_signature</th>\n",
       "      <th>valence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Henri Salvador</td>\n",
       "      <td>C'est beau de faire un Show</td>\n",
       "      <td>0BRjO6ga9RKCKjfDqeFgWV</td>\n",
       "      <td>0</td>\n",
       "      <td>0.6110</td>\n",
       "      <td>0.389</td>\n",
       "      <td>99373</td>\n",
       "      <td>0.9100</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>C#</td>\n",
       "      <td>0.3460</td>\n",
       "      <td>-1.828</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0525</td>\n",
       "      <td>166.969</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74954</th>\n",
       "      <td>Children's Music</td>\n",
       "      <td>Sing n Play</td>\n",
       "      <td>See, See My Playmate</td>\n",
       "      <td>3WaCwwpGoxLEkFmd6cpZO5</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1390</td>\n",
       "      <td>0.556</td>\n",
       "      <td>150487</td>\n",
       "      <td>0.4390</td>\n",
       "      <td>0.006400</td>\n",
       "      <td>D</td>\n",
       "      <td>0.1720</td>\n",
       "      <td>-11.604</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0288</td>\n",
       "      <td>165.306</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74958</th>\n",
       "      <td>Children's Music</td>\n",
       "      <td>Children Songs Company</td>\n",
       "      <td>By the God - Instrumental</td>\n",
       "      <td>5yDehr9ccZo3vBO8hZXFcK</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2130</td>\n",
       "      <td>0.736</td>\n",
       "      <td>212547</td>\n",
       "      <td>0.4460</td>\n",
       "      <td>0.821000</td>\n",
       "      <td>D</td>\n",
       "      <td>0.2980</td>\n",
       "      <td>-12.328</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0504</td>\n",
       "      <td>130.011</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74959</th>\n",
       "      <td>Children's Music</td>\n",
       "      <td>Children Songs Company</td>\n",
       "      <td>Interruption Please - Instrumental</td>\n",
       "      <td>6NEULw7AmTOAYRunPWcFvn</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0131</td>\n",
       "      <td>0.639</td>\n",
       "      <td>184000</td>\n",
       "      <td>0.8440</td>\n",
       "      <td>0.095700</td>\n",
       "      <td>A#</td>\n",
       "      <td>0.0399</td>\n",
       "      <td>-8.582</td>\n",
       "      <td>Minor</td>\n",
       "      <td>0.0439</td>\n",
       "      <td>120.027</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74961</th>\n",
       "      <td>Children's Music</td>\n",
       "      <td>Children Songs Company</td>\n",
       "      <td>Breeze</td>\n",
       "      <td>6v126eNn1A79yFIKGfvqLz</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0280</td>\n",
       "      <td>0.607</td>\n",
       "      <td>147653</td>\n",
       "      <td>0.5540</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>A</td>\n",
       "      <td>0.1690</td>\n",
       "      <td>-10.571</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.3710</td>\n",
       "      <td>92.193</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74962</th>\n",
       "      <td>Children's Music</td>\n",
       "      <td>Children Songs Company</td>\n",
       "      <td>Woodland</td>\n",
       "      <td>7qR2PWbDeuhh1Vzd0anb25</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9950</td>\n",
       "      <td>0.529</td>\n",
       "      <td>266067</td>\n",
       "      <td>0.1540</td>\n",
       "      <td>0.414000</td>\n",
       "      <td>B</td>\n",
       "      <td>0.1230</td>\n",
       "      <td>-9.222</td>\n",
       "      <td>Minor</td>\n",
       "      <td>0.0470</td>\n",
       "      <td>69.588</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74963</th>\n",
       "      <td>Children's Music</td>\n",
       "      <td>Children Songs Company</td>\n",
       "      <td>Cool Me - Instrumental</td>\n",
       "      <td>0V3Q9RYUaiLKTJIvg4KCST</td>\n",
       "      <td>0</td>\n",
       "      <td>0.2500</td>\n",
       "      <td>0.623</td>\n",
       "      <td>350080</td>\n",
       "      <td>0.4710</td>\n",
       "      <td>0.931000</td>\n",
       "      <td>A#</td>\n",
       "      <td>0.2580</td>\n",
       "      <td>-8.675</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0332</td>\n",
       "      <td>120.015</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74964</th>\n",
       "      <td>Children's Music</td>\n",
       "      <td>Sing n Play</td>\n",
       "      <td>The Tortoise and the Hare</td>\n",
       "      <td>0oX193rf5y87RipsZnH8Pq</td>\n",
       "      <td>0</td>\n",
       "      <td>0.4960</td>\n",
       "      <td>0.563</td>\n",
       "      <td>201362</td>\n",
       "      <td>0.3460</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>D</td>\n",
       "      <td>0.1200</td>\n",
       "      <td>-14.058</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0938</td>\n",
       "      <td>144.642</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56153</th>\n",
       "      <td>Movie</td>\n",
       "      <td>Bruno Pelletier</td>\n",
       "      <td>Lié par le sang</td>\n",
       "      <td>3GO9Wo14FvMXvOKE4LItjg</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0294</td>\n",
       "      <td>0.656</td>\n",
       "      <td>276027</td>\n",
       "      <td>0.6940</td>\n",
       "      <td>0.000017</td>\n",
       "      <td>A</td>\n",
       "      <td>0.0527</td>\n",
       "      <td>-6.755</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0273</td>\n",
       "      <td>120.085</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74966</th>\n",
       "      <td>Children's Music</td>\n",
       "      <td>Children Songs Company</td>\n",
       "      <td>Forsaken</td>\n",
       "      <td>1rRNU87xfqvxiUsEXXyi8k</td>\n",
       "      <td>0</td>\n",
       "      <td>0.9940</td>\n",
       "      <td>0.429</td>\n",
       "      <td>129387</td>\n",
       "      <td>0.0382</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>B</td>\n",
       "      <td>0.4480</td>\n",
       "      <td>-12.704</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0557</td>\n",
       "      <td>156.807</td>\n",
       "      <td>3/4</td>\n",
       "      <td>0.474</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  genre             artist_name  \\\n",
       "0                 Movie          Henri Salvador   \n",
       "74954  Children's Music             Sing n Play   \n",
       "74958  Children's Music  Children Songs Company   \n",
       "74959  Children's Music  Children Songs Company   \n",
       "74961  Children's Music  Children Songs Company   \n",
       "74962  Children's Music  Children Songs Company   \n",
       "74963  Children's Music  Children Songs Company   \n",
       "74964  Children's Music             Sing n Play   \n",
       "56153             Movie         Bruno Pelletier   \n",
       "74966  Children's Music  Children Songs Company   \n",
       "\n",
       "                               track_name                track_id  popularity  \\\n",
       "0             C'est beau de faire un Show  0BRjO6ga9RKCKjfDqeFgWV           0   \n",
       "74954                See, See My Playmate  3WaCwwpGoxLEkFmd6cpZO5           0   \n",
       "74958           By the God - Instrumental  5yDehr9ccZo3vBO8hZXFcK           0   \n",
       "74959  Interruption Please - Instrumental  6NEULw7AmTOAYRunPWcFvn           0   \n",
       "74961                              Breeze  6v126eNn1A79yFIKGfvqLz           0   \n",
       "74962                            Woodland  7qR2PWbDeuhh1Vzd0anb25           0   \n",
       "74963              Cool Me - Instrumental  0V3Q9RYUaiLKTJIvg4KCST           0   \n",
       "74964           The Tortoise and the Hare  0oX193rf5y87RipsZnH8Pq           0   \n",
       "56153                     Lié par le sang  3GO9Wo14FvMXvOKE4LItjg           0   \n",
       "74966                            Forsaken  1rRNU87xfqvxiUsEXXyi8k           0   \n",
       "\n",
       "       acousticness  danceability  duration_ms  energy  instrumentalness key  \\\n",
       "0            0.6110         0.389        99373  0.9100          0.000000  C#   \n",
       "74954        0.1390         0.556       150487  0.4390          0.006400   D   \n",
       "74958        0.2130         0.736       212547  0.4460          0.821000   D   \n",
       "74959        0.0131         0.639       184000  0.8440          0.095700  A#   \n",
       "74961        0.0280         0.607       147653  0.5540          0.000000   A   \n",
       "74962        0.9950         0.529       266067  0.1540          0.414000   B   \n",
       "74963        0.2500         0.623       350080  0.4710          0.931000  A#   \n",
       "74964        0.4960         0.563       201362  0.3460          0.000000   D   \n",
       "56153        0.0294         0.656       276027  0.6940          0.000017   A   \n",
       "74966        0.9940         0.429       129387  0.0382          0.000000   B   \n",
       "\n",
       "       liveness  loudness   mode  speechiness    tempo time_signature  valence  \n",
       "0        0.3460    -1.828  Major       0.0525  166.969            4/4    0.814  \n",
       "74954    0.1720   -11.604  Major       0.0288  165.306            4/4    0.820  \n",
       "74958    0.2980   -12.328  Major       0.0504  130.011            4/4    0.668  \n",
       "74959    0.0399    -8.582  Minor       0.0439  120.027            4/4    0.271  \n",
       "74961    0.1690   -10.571  Major       0.3710   92.193            4/4    0.404  \n",
       "74962    0.1230    -9.222  Minor       0.0470   69.588            4/4    0.332  \n",
       "74963    0.2580    -8.675  Major       0.0332  120.015            4/4    0.515  \n",
       "74964    0.1200   -14.058  Major       0.0938  144.642            4/4    0.370  \n",
       "56153    0.0527    -6.755  Major       0.0273  120.085            4/4    0.449  \n",
       "74966    0.4480   -12.704  Major       0.0557  156.807            3/4    0.474  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# which artist or musician has most number of follwers on spotify ? yeh alag sa question pocha ha bss yeh ha nhi\n",
    "# least popular songs dhoondna haaa \n",
    "sorted_df = df_tracks.sort_values('popularity', ascending = True).head(10)\n",
    "sorted_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "d8ab77c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>popularity</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>41.127502</td>\n",
       "      <td>18.189948</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>29.0000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>55.0000</td>\n",
       "      <td>100.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acousticness</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>0.368560</td>\n",
       "      <td>0.354768</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0376</td>\n",
       "      <td>0.232000</td>\n",
       "      <td>0.7220</td>\n",
       "      <td>0.996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>danceability</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>0.554364</td>\n",
       "      <td>0.185608</td>\n",
       "      <td>0.05690</td>\n",
       "      <td>0.4350</td>\n",
       "      <td>0.571000</td>\n",
       "      <td>0.6920</td>\n",
       "      <td>0.989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>duration_ms</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>235122.339306</td>\n",
       "      <td>118935.909299</td>\n",
       "      <td>15387.00000</td>\n",
       "      <td>182857.0000</td>\n",
       "      <td>220427.000000</td>\n",
       "      <td>265768.0000</td>\n",
       "      <td>5552917.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>energy</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>0.570958</td>\n",
       "      <td>0.263456</td>\n",
       "      <td>0.00002</td>\n",
       "      <td>0.3850</td>\n",
       "      <td>0.605000</td>\n",
       "      <td>0.7870</td>\n",
       "      <td>0.999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>instrumentalness</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>0.148301</td>\n",
       "      <td>0.302768</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>0.0358</td>\n",
       "      <td>0.999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>liveness</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>0.215009</td>\n",
       "      <td>0.198273</td>\n",
       "      <td>0.00967</td>\n",
       "      <td>0.0974</td>\n",
       "      <td>0.128000</td>\n",
       "      <td>0.2640</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>loudness</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>-9.569885</td>\n",
       "      <td>5.998204</td>\n",
       "      <td>-52.45700</td>\n",
       "      <td>-11.7710</td>\n",
       "      <td>-7.762000</td>\n",
       "      <td>-5.5010</td>\n",
       "      <td>3.744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>speechiness</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>0.120765</td>\n",
       "      <td>0.185518</td>\n",
       "      <td>0.02220</td>\n",
       "      <td>0.0367</td>\n",
       "      <td>0.050100</td>\n",
       "      <td>0.1050</td>\n",
       "      <td>0.967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tempo</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>117.666585</td>\n",
       "      <td>30.898907</td>\n",
       "      <td>30.37900</td>\n",
       "      <td>92.9590</td>\n",
       "      <td>115.778000</td>\n",
       "      <td>139.0540</td>\n",
       "      <td>242.903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>valence</th>\n",
       "      <td>232725.0</td>\n",
       "      <td>0.454917</td>\n",
       "      <td>0.260065</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.2370</td>\n",
       "      <td>0.444000</td>\n",
       "      <td>0.6600</td>\n",
       "      <td>1.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     count           mean            std          min  \\\n",
       "popularity        232725.0      41.127502      18.189948      0.00000   \n",
       "acousticness      232725.0       0.368560       0.354768      0.00000   \n",
       "danceability      232725.0       0.554364       0.185608      0.05690   \n",
       "duration_ms       232725.0  235122.339306  118935.909299  15387.00000   \n",
       "energy            232725.0       0.570958       0.263456      0.00002   \n",
       "instrumentalness  232725.0       0.148301       0.302768      0.00000   \n",
       "liveness          232725.0       0.215009       0.198273      0.00967   \n",
       "loudness          232725.0      -9.569885       5.998204    -52.45700   \n",
       "speechiness       232725.0       0.120765       0.185518      0.02220   \n",
       "tempo             232725.0     117.666585      30.898907     30.37900   \n",
       "valence           232725.0       0.454917       0.260065      0.00000   \n",
       "\n",
       "                          25%            50%          75%          max  \n",
       "popularity            29.0000      43.000000      55.0000      100.000  \n",
       "acousticness           0.0376       0.232000       0.7220        0.996  \n",
       "danceability           0.4350       0.571000       0.6920        0.989  \n",
       "duration_ms       182857.0000  220427.000000  265768.0000  5552917.000  \n",
       "energy                 0.3850       0.605000       0.7870        0.999  \n",
       "instrumentalness       0.0000       0.000044       0.0358        0.999  \n",
       "liveness               0.0974       0.128000       0.2640        1.000  \n",
       "loudness             -11.7710      -7.762000      -5.5010        3.744  \n",
       "speechiness            0.0367       0.050100       0.1050        0.967  \n",
       "tempo                 92.9590     115.778000     139.0540      242.903  \n",
       "valence                0.2370       0.444000       0.6600        1.000  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tracks.describe().transpose()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "3f38c3a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genre</th>\n",
       "      <th>artist_name</th>\n",
       "      <th>track_name</th>\n",
       "      <th>track_id</th>\n",
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       "      <th>valence</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>107804</th>\n",
       "      <td>Pop</td>\n",
       "      <td>Ariana Grande</td>\n",
       "      <td>7 rings</td>\n",
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       "      <td>0.0884</td>\n",
       "      <td>-10.744</td>\n",
       "      <td>Minor</td>\n",
       "      <td>0.3230</td>\n",
       "      <td>70.142</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9027</th>\n",
       "      <td>Dance</td>\n",
       "      <td>Ariana Grande</td>\n",
       "      <td>7 rings</td>\n",
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       "      <td>0.0884</td>\n",
       "      <td>-10.744</td>\n",
       "      <td>Minor</td>\n",
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       "      <td>70.142</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9026</th>\n",
       "      <td>Dance</td>\n",
       "      <td>Ariana Grande</td>\n",
       "      <td>break up with your girlfriend, i'm bored</td>\n",
       "      <td>4kV4N9D1iKVxx1KLvtTpjS</td>\n",
       "      <td>99</td>\n",
       "      <td>0.0421</td>\n",
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       "      <td>-5.290</td>\n",
       "      <td>Minor</td>\n",
       "      <td>0.0917</td>\n",
       "      <td>169.999</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86951</th>\n",
       "      <td>Rap</td>\n",
       "      <td>Post Malone</td>\n",
       "      <td>Wow.</td>\n",
       "      <td>6MWtB6iiXyIwun0YzU6DFP</td>\n",
       "      <td>99</td>\n",
       "      <td>0.1630</td>\n",
       "      <td>0.833</td>\n",
       "      <td>149520</td>\n",
       "      <td>0.539</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>B</td>\n",
       "      <td>0.1010</td>\n",
       "      <td>-7.399</td>\n",
       "      <td>Minor</td>\n",
       "      <td>0.1780</td>\n",
       "      <td>99.947</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107803</th>\n",
       "      <td>Pop</td>\n",
       "      <td>Post Malone</td>\n",
       "      <td>Wow.</td>\n",
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       "      <td>Minor</td>\n",
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       "      <td>99.947</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.385</td>\n",
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       "    <tr>\n",
       "      <th>107802</th>\n",
       "      <td>Pop</td>\n",
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       "      <td>break up with your girlfriend, i'm bored</td>\n",
       "      <td>4kV4N9D1iKVxx1KLvtTpjS</td>\n",
       "      <td>99</td>\n",
       "      <td>0.0421</td>\n",
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       "      <td>0.554</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>F</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>138918</th>\n",
       "      <td>Reggaeton</td>\n",
       "      <td>Daddy Yankee</td>\n",
       "      <td>Con Calma</td>\n",
       "      <td>5w9c2J52mkdntKOmRLeM2m</td>\n",
       "      <td>98</td>\n",
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       "      <td>0.737</td>\n",
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       "      <td>-2.652</td>\n",
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       "      <td>93.989</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66643</th>\n",
       "      <td>Hip-Hop</td>\n",
       "      <td>Daddy Yankee</td>\n",
       "      <td>Con Calma</td>\n",
       "      <td>5w9c2J52mkdntKOmRLeM2m</td>\n",
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       "      <td>4/4</td>\n",
       "      <td>0.656</td>\n",
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       "      <th>107909</th>\n",
       "      <td>Pop</td>\n",
       "      <td>Daddy Yankee</td>\n",
       "      <td>Con Calma</td>\n",
       "      <td>5w9c2J52mkdntKOmRLeM2m</td>\n",
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       "      <td>0.1100</td>\n",
       "      <td>0.737</td>\n",
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       "      <td>0.860</td>\n",
       "      <td>0.000002</td>\n",
       "      <td>G#</td>\n",
       "      <td>0.0574</td>\n",
       "      <td>-2.652</td>\n",
       "      <td>Minor</td>\n",
       "      <td>0.0593</td>\n",
       "      <td>93.989</td>\n",
       "      <td>4/4</td>\n",
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       "    </tr>\n",
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       "      <th>86953</th>\n",
       "      <td>Rap</td>\n",
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       "      <td>Sunflower - Spider-Man: Into the Spider-Verse</td>\n",
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       "      <td>97</td>\n",
       "      <td>0.5560</td>\n",
       "      <td>0.760</td>\n",
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       "      <td>0.479</td>\n",
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       "      <td>D</td>\n",
       "      <td>0.0703</td>\n",
       "      <td>-5.574</td>\n",
       "      <td>Major</td>\n",
       "      <td>0.0466</td>\n",
       "      <td>89.911</td>\n",
       "      <td>4/4</td>\n",
       "      <td>0.913</td>\n",
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      ],
      "text/plain": [
       "            genre    artist_name  \\\n",
       "107804        Pop  Ariana Grande   \n",
       "9027        Dance  Ariana Grande   \n",
       "9026        Dance  Ariana Grande   \n",
       "86951         Rap    Post Malone   \n",
       "107803        Pop    Post Malone   \n",
       "107802        Pop  Ariana Grande   \n",
       "138918  Reggaeton   Daddy Yankee   \n",
       "66643     Hip-Hop   Daddy Yankee   \n",
       "107909        Pop   Daddy Yankee   \n",
       "86953         Rap    Post Malone   \n",
       "\n",
       "                                           track_name                track_id  \\\n",
       "107804                                        7 rings  14msK75pk3pA33pzPVNtBF   \n",
       "9027                                          7 rings  14msK75pk3pA33pzPVNtBF   \n",
       "9026         break up with your girlfriend, i'm bored  4kV4N9D1iKVxx1KLvtTpjS   \n",
       "86951                                            Wow.  6MWtB6iiXyIwun0YzU6DFP   \n",
       "107803                                           Wow.  6MWtB6iiXyIwun0YzU6DFP   \n",
       "107802       break up with your girlfriend, i'm bored  4kV4N9D1iKVxx1KLvtTpjS   \n",
       "138918                                      Con Calma  5w9c2J52mkdntKOmRLeM2m   \n",
       "66643                                       Con Calma  5w9c2J52mkdntKOmRLeM2m   \n",
       "107909                                      Con Calma  5w9c2J52mkdntKOmRLeM2m   \n",
       "86953   Sunflower - Spider-Man: Into the Spider-Verse  3KkXRkHbMCARz0aVfEt68P   \n",
       "\n",
       "        popularity  acousticness  danceability  duration_ms  energy  \\\n",
       "107804         100        0.5780         0.725       178640   0.321   \n",
       "9027           100        0.5780         0.725       178640   0.321   \n",
       "9026            99        0.0421         0.726       190440   0.554   \n",
       "86951           99        0.1630         0.833       149520   0.539   \n",
       "107803          99        0.1630         0.833       149520   0.539   \n",
       "107802          99        0.0421         0.726       190440   0.554   \n",
       "138918          98        0.1100         0.737       193227   0.860   \n",
       "66643           98        0.1100         0.737       193227   0.860   \n",
       "107909          98        0.1100         0.737       193227   0.860   \n",
       "86953           97        0.5560         0.760       158040   0.479   \n",
       "\n",
       "        instrumentalness key  liveness  loudness   mode  speechiness    tempo  \\\n",
       "107804          0.000000  C#    0.0884   -10.744  Minor       0.3230   70.142   \n",
       "9027            0.000000  C#    0.0884   -10.744  Minor       0.3230   70.142   \n",
       "9026            0.000000   F    0.1060    -5.290  Minor       0.0917  169.999   \n",
       "86951           0.000002   B    0.1010    -7.399  Minor       0.1780   99.947   \n",
       "107803          0.000002   B    0.1010    -7.399  Minor       0.1780   99.947   \n",
       "107802          0.000000   F    0.1060    -5.290  Minor       0.0917  169.999   \n",
       "138918          0.000002  G#    0.0574    -2.652  Minor       0.0593   93.989   \n",
       "66643           0.000002  G#    0.0574    -2.652  Minor       0.0593   93.989   \n",
       "107909          0.000002  G#    0.0574    -2.652  Minor       0.0593   93.989   \n",
       "86953           0.000000   D    0.0703    -5.574  Major       0.0466   89.911   \n",
       "\n",
       "       time_signature  valence  \n",
       "107804            4/4    0.319  \n",
       "9027              4/4    0.319  \n",
       "9026              4/4    0.335  \n",
       "86951             4/4    0.385  \n",
       "107803            4/4    0.385  \n",
       "107802            4/4    0.335  \n",
       "138918            4/4    0.656  \n",
       "66643             4/4    0.656  \n",
       "107909            4/4    0.656  \n",
       "86953             4/4    0.913  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# most popular top songs\n",
    "most_popular = df_tracks.query('popularity > 90',  inplace = False).sort_values('popularity' , ascending = False)\n",
    "most_popular.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "db7a885d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>0DheY5irMjBUeLybbCUEZ2</td>\n",
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       "      <td>Armid &amp; Amir Zare Pashai feat. Sara Rouzbehani</td>\n",
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      ],
      "text/plain": [
       "                                                   id genres  \\\n",
       "followers                                                      \n",
       "1970-01-01 00:00:00.000000000  0DheY5irMjBUeLybbCUEZ2     []   \n",
       "1970-01-01 00:00:00.000000005  0DlhY15l3wsrnlfGio2bjU     []   \n",
       "1970-01-01 00:00:00.000000000  0DmRESX2JknGPQyO15yxg7     []   \n",
       "1970-01-01 00:00:00.000000000  0DmhnbHjm1qw6NCYPeZNgJ     []   \n",
       "1970-01-01 00:00:00.000000002  0Dn11fWM7vHQ3rinvWEl4E     []   \n",
       "\n",
       "                                                                         name  \\\n",
       "followers                                                                       \n",
       "1970-01-01 00:00:00.000000000  Armid & Amir Zare Pashai feat. Sara Rouzbehani   \n",
       "1970-01-01 00:00:00.000000005                                     ปูนา ภาวิณี   \n",
       "1970-01-01 00:00:00.000000000                                           Sadaa   \n",
       "1970-01-01 00:00:00.000000000                                       Tra'gruda   \n",
       "1970-01-01 00:00:00.000000002                          Ioannis Panoutsopoulos   \n",
       "\n",
       "                               popularity  \n",
       "followers                                  \n",
       "1970-01-01 00:00:00.000000000           0  \n",
       "1970-01-01 00:00:00.000000005           0  \n",
       "1970-01-01 00:00:00.000000000           0  \n",
       "1970-01-01 00:00:00.000000000           0  \n",
       "1970-01-01 00:00:00.000000002           0  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tracks.set_index('release_date', inplace = True)\n",
    "df_tracks.index = pd.to_datetime(df_tracks.index)\n",
    "df_tracks.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "99ce1bef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "artist_name    Henri Salvador\n",
       "Name: 18, dtype: object"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# filter specific row of information from the data set\n",
    "df_tracks[['artist_name']].iloc[18]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6808bbf2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "3b5dfcd0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\srt\\AppData\\Local\\Temp\\ipykernel_14880\\422617362.py:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  core_df = df_tracks.corr(method = 'pearson')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 0, 'popularity'),\n",
       " Text(1.5, 0, 'acousticness'),\n",
       " Text(2.5, 0, 'danceability'),\n",
       " Text(3.5, 0, 'energy'),\n",
       " Text(4.5, 0, 'instrumentalness'),\n",
       " Text(5.5, 0, 'liveness'),\n",
       " Text(6.5, 0, 'loudness'),\n",
       " Text(7.5, 0, 'speechiness'),\n",
       " Text(8.5, 0, 'tempo'),\n",
       " Text(9.5, 0, 'valence'),\n",
       " Text(10.5, 0, 'duration')]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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riOrZCbvVSvb+RDZPeQdrRpYbS+VG2nVNnSoR8QIwxpznnNUEuMZjCZ2CocPaMfWjUZ5Oo1K16N+S6DOieabHFL58+AtGPDei1NiGbRsSEBLgxuwqgVgIG/0IqS/eQ+LDVxDY/UK8659RJCR34wqSHruK5MdHcnjqU4TdOsFDyZaTWAi/8RFSXhzLwYdGEHDeoBJltCXFkzx5DEmPjuTod/8j/JYnPJRs+TTp04qwJjF8csGTLJgwg/5PuR6Nc+ucFXx64SSmD56Mt78PrUb0dHOm5dewd2tCG8fy1YXjWfrkZ/Sc6Ppcs2Pu38y6eCLfXPYUXv4+NB9eQ8ooFvyHP03mB6PJeH4gPh0vwxJ7tuu4Sx/BumWx+3OsBA16tya0cQxfX/gEy578jPOedL0f/5u7nG8umcB3Qybh7edLsyuq6X60WGh87x1sf/RJNo6+g8gBvfFv3LBISGjXzvjVr8eGa29l9ytv0XicYyRcn6hIYoddyr+33ce/N92FeFmI6N/HE6U4MYuFM8bdxuaHnmLt9XcRNaA3AcXKGNatE/4N6rHmmtvY+dI7nHH/8S87m4y9lbS/V7P2ujtZf+O9ZO8p/ctCt7JYaPbgzawd9wzLR44jdmAPgpo0KBIS2b0DAQ3r8teIe9jy3Ac0e/jWk657aMU6/h51PyuufZCsffE0vmGou0vmNtXkB0PdqsZVdESkiYhsEZFPRGS9iHwtIoEiMkBE1ojIBhH5WET8nPG7ReQFEVnhfJztnD9NRIYX2m5GKa+1RERWOx/nOef3FZE/RGQGsKHY+s8DvURkrYiMc67fvtA2l4lI26p6f05F5y6NCQ2tYRf6J9FmUGtWfr0SgD2r9xAQGkBITEiJOLEIl00YwpwpFf7RXbfyPas11sT92JIPgM1K1vJf8e/Ut0iMyc0ueG7xCwDj5iQryPfsVlgT92FLcpQx+695BHQqejGRt309JvMoALk7NuAVEeOJVMvtzAHt2PzdcgAOrtuFX51AAqNLHqe7Fx3/rbTE9bsJjgtzV4oV1rh/e7b/8BcASet24RsSQEB0aIm4fYs3FjxP3rCboNhwt+VYEV6N22FP2YNJ3Qe2fPLXzMGnzQUl4nx730D++l8wGakeyLLiGvVvz44fHMdq8vqd+NYJJCCq5H7cX2Q/7iIornrux6Dm55AbH09uwkGM1cqh3xcT3qNbkZiwHt1Infc7AJmbt+IVFIRPhKM84uWFxc8XLBYsfn7kp1a//Rrcoik5BxLITUjEWK2kLFhCeM+uRWIienYl+dc/AMjYtBXv4CB8IsPxCgwgpF0rkn78DQBjtWLLyHR7GVwJaXk22fsPkhOfhLFaSfxtGVG9OxeJie7dhYM/LQIg/d/teAcH4RsZdsJ1D61Yj7E5WsrTN27HPybSvQVTVarGVXScmgFTjTFtgXTgfmAacJUxpg2OLnmF+2KlG2POBd4GXj+F10kCLjDGdASuAt4stOxc4AljTMti6zwKLDHGtDfGvAZ8BIwGEJFzAD9jzPpTyEGdgtC4MA7HpxVMp8UfITSu5Idyrxt7s3HeRtKT0t2YXcVZIqKxpR4smLYdSsIrvORFvn/nfsS89A2RD71B2tSn3JlihXmFx2BLTSyYth1KOmFFJqjvEHLW/emO1CpNcGwYGQcPF0xnJB4mODas1HiLt4XmQ7qyZ8kmN2RXOYKKlTHz4GGCYsJKjRdvL5pe1o39SzeWGlOdSGgc5nBCwbQ97SASGlcsJhafNoPIWzbd3elVmsCYcDIPHiqYzkw8TOAJjlXx9uKsy7qxf2mFf9C8SvhGRZKXlFIwnZecgk9UpIuY5ILp/BRHTH5KKge/+pZ2X06j/TefY8vMJH3VGrflXla+UZHkFiujX/SJy5iXnIpvVCR+9eKwph3hrMfupe1Hr3Pmw3dj8fdzW+4n4h8dQU7S8YplbtKhEuXyKxGTil90RJnWBah7aT9S/6p++7TS2PMr9qiBampFZ58xZpnz+efAAGCXMWabc94nQO9C8TML/e1+Cq/jA3woIhuAWUDhSs0KY8yuMmxjFjBYRHyAm3BUyFRVkZKzHD/Ce1xIbAjtL23Pko9rYlcSlwUsMStn1R8kPXQFqa89QJ0RNez+KxdFdFVGAL+WnQjqO4QjM9+q2pwqm8sylh7eb9JIDqzcQfyqHVWWUqWTsh2rx/SceA0Jq7Zx8J+aUsaTly9g6ERy5jwPpubcV1Wcq914ov143oRrSFy1ncR/quk9cy6PyzLEAF7BwYSd1431I29i3fDrsPj7E3l+v8rPsaJc5F/8c7C086x4eRHU9CwSv/+Z9bfchz0nh/qjhrsI9gCXu6V4uUrZv2VYt8noYRirnYO/LClffjXA6dh1raYORnCqnXGMi+dWnBU9ERHA18V644BEoJ0zNqfQsjK15RpjskTkN2AIcCXQ2VWciIwBxpRlm6qonqN70n2Uo/66d+1ewuuFcawGGlYvlPTEoq02DVo3IKpJFOP/HA+AT4APTywbzzM9prgz7XKxH0rCK/L4t8ZeETHY0pJLjc/bshrvmAZYgsOwZ6S5IcOKsx1KwisytmDaKyIG2+GSZfRpeDbht04g5YWx2DOOuDPFcmk7qg+tr+wBQOKGPQQX6toTHBtORlKay/W63n0JARHBLJgw1R1pVkjLa/rSfHgvAJI37iY4LpxjbXNBceFkJrveTx3vHIx/eB2WPPm5mzKtOHMkAQmvWzBtCYvDpCcWifFq2IbAGxyVcAkKx7tFX7LtVqwbfnNrrqeqxci+nDPC8V1hyoZdBMVFFCwLig0nK8n1fmx/56X4R9Rhwdj33JJneeQlp+AbE1Uw7RsdVaL7mSMmumDaJyqK/JRUQjq1J/dgItYjjs+Uw0v+JLh1C1Ln/+Ge5MsoLzkFv2JlzEs5VCwm1VnGzc6YSPJSD4Ex5CankLHZ8b1x6sI/qT/qCrflfiI5SYeKdCvzi4kgN7louXKTUvGPieRIQUwkuSmHEB/vE64bd3Efonp0YvXdNasHxCk7DUddq6ktOo1E5FjLzEhgPtDk2P03wHXAokLxVxX6+5fz+W6gk/P5EBytN8WFAgnGGLtzm15lyO0oUKfYvI9wdHtbaYw5VHIVMMZMNcZ0Nsa4rAip0i2dtpSXLniJly54iQ2/bKDL8C4ANO7YmOz0nBLd0zYt2MTE9hN4uuvTPN31afKz82tEJQcgb+e/eMc1xCu6Hnh5E9htEDn/LCoS4xV7/KZTnybNEW+fGlPJAcj7b1ORMgZ0H0j2P0Vb37wiY4kc9xKH3p2I9WDJEaCqo/XTFzFjyLPMGPIs/81fR4uhjvsC4tqdQW5GNlnJJbtRthrRg0Y9W/DzuI9P+C16dbFpxkK+HTaZb4dNZveCtTQd4jhNx7Q7g7yj2WS7qOg0G96TBj1b8fuDH9aIMh5j27ser6gmSEQD8PLBp8Ol5G+cXyTm6OTeHH26F0ef7kX+up/J/npita/kAGyeuZAfhj3ND8OeZs+CtZw9xHGsRrc907EfU0rux3Ou6En9Hi1ZWM33Y+aWbfjVr49vXCzi7U1E/94c/vPvIjFpf/5N5MD+AAS1aIYtM5P8Q4fJS0omuGUzLH6OrlwhHduRvafkaImelrFlO/4N6uFX11HGqAG9OLysaBkPLV1B9CBHa1Rwy2bYMrPITz1M/qE08pJS8G9YH4DQTu3I3l09ynh08w4CG9bFv24M4u1N7AU9SFmyqkhM8pJVxF3suKczpFVTrBlZ5KWmnXDdiG7taXLd5ax76AXsuXluL5db2a0Ve9RANbVFZzNwg4h8AGwH7gWWA7NExBtYCRQe59NPRP7GUbE7NrzRh8APIrICWIDrFpp3gW9EZATwRykxxa0HrCKyDphmjHnNGPOPiKQD/3eqBa1KD97/DStW7CHtcBb9er/G3ff05YoRHTydVoVsWrCJFgNaMv7PCeRl5zFz3PFRvsd8dhtfPDizRAtPjWK3kTbtBaIeeQcsFjIXzcZ6YCeBAxzfuGUt+IaALv0J7DUYY7NCXi6H3nrUw0mfIruNtGkvEfXoW84htB1lDHKWMXPBN4QMuxVLnVDCbnykYJ2k8dd7MOlTs3vhRpr0ac0N85/Gmp3Hb499WrBsyId3Mf+Jz8lMOkL/p0aSHn+Iq756CIAd89ay4p2fPJX2Kdm3aAMNe7fmql+fKRhe+phBH9zDkvGfkpV8hJ5PjiIj/hBDZjqO013zV7Pm3R89lPUpsNvI/uZJgm7/FCwW8v+ehf3gdnzPcwy6mfdntf+FgTLZv3gDDXu3Yfgvjv245IlpBcsueH8sSyd8QnbyEc578loy4lMZPPMxAPb8tpq17831UNYnYLez9833aPbiZLBYSPn5N3J27yX60osASJ7zM0eWryS0a2fafP4R9lzH8NLgGJjg0KJltJz6BsZmI2v7TpLnVsPhwm12dr3+AS1enoRYLCT9NJ/s3fuIvexCABJn/0La8lWEd+9Eh5kfYM/NZcdzx29B3vXGVJpOuB/x8SE3/iA7nnvDUyUpwtjsbH35f3R44wmwWEiY+weZu/ZTf6hjEJAD3/1G6p+riTqvA92/fgt7Th6bprxzwnUBmj1wMxZfbzq86Rih9MjGbWx98UPPFFJVOinRb7OaO9XfuRGR3UBnY0zKyWKriojUAxYCzZ2tQyeLN1ZTc7pwlIe3XMu9dcd6Oo0q9UbCm+y/pmZXHE+mwYw17BvZ6eSBNVTDmf/wetPbPZ1Glbpv+/tMbX6rp9OoUmO2fEjavU08nUaVCntjN/9rcYun06hSN2/+iBV9L/Z0GlXm3IU/8WevSz2dRpU6b8kc5netJvf8VJEBy2e5vsmrGkhPHVuhi/6QyDerbdlKU1NbdGoMEbkeeAa4vyyVHKWUUkoppSqb1NDuZxVR4yo6xpjdQJlac5zxTaosmbK9/qfApycNVEoppZRSqqpoRUcppZRSSilV65yGFZ2aOuqaUkoppZRSSpVKW3SUUkoppZSq5aSG/uhnRWhFRymllFJKqdrObvN0Bm6nFR2llFJKKaVqudNx1DW9R0cppZRSSilV62iLjlJKKaWUUrWddl1TSimllFJK1TqnYdc1McZ4OgdVjIjoTlFKKaWUqmGMMeLpHEqTtePSCl1fBp49p9qWrTTaolNN3Vt3rKdTqFJvJLyJ1Xzu6TSqlLdcy/31avd+fDX+Tc4JHurpNKrMtozvSB7T3NNpVKnoqVv4q/dgT6dRpbovnkuboJGeTqNKbcicyb8X9/N0GlWq1U9/8PJZd3g6jSrz4H/v8XjDezydRpV6dt9bLOh2hafTOH2dhl3XdDACpZRSSimlVK2jLTpKKaWUUkrVcnIatuhoRUcppZRSSqnaTis6SimllFJKqdpGW3SUUkoppZRStc9pWNHRwQiUUkoppZRStY626CillFJKKVXLuaPrmohcCLwBeAEfGWOeL7b8IWCUc9IbaAFEG2MOichu4ChgA6zGmM4VzUcrOkoppZRSStV2VVzREREv4B3gAmA/sFJEZhtjNh2LMca8BLzkjL8UGGeMOVRoM/2MMSmVlZNWdJRSSimllKrlxG6v6pc4F9hhjNkJICJfAEOATaXEjwRmVmVCp1VFR0TuA6YaY7Kc0z8B1xhj0jyZlzsNmzyMFv1bkp+dz4xx09m/YX/psVOuoOtVXXmk6cNuzLByPfHYbBYt3EZEZBCz59aeX9S+/GnHfszLzueLcdM5sLH0/Th08hV0uaorj59Ts/bjEy/eTJ+BHcnJzuXR299m07qdJWKm/zqFoOAAACKjQ1n/z3buGvmCu1M9ZT6tehJ05eOIxULO0q/J/vWjIst92/Un8LKxYOwYu43ML5/D+t9qD2VbdqHndqTJPbciFgtJP/5G/IyvS8Q0HjuG8K6dsOXm8t9zb5C1/T/8G9an6ZPHj0+/enHs/3g6B7+e7c70y+WRl66n18D25GTnMeG299m8bneJmGnzJhIY7A9ARHQoG1f9x30jX3VzpuUT1KkLcWPuRiwWDs/7idRZRa9JQvoOIGr41QDYc3JIeOc1cneV/F+t7vpNGMEZfVthzc7nl0c+JenffSViLn5lNLFtGmO32ji4bje/TZiB3VrlF46V4pKnrqBZv5bkZ+fxzQPTiXfxmTH0xZHUb9sIEUjZlcw3939OXlaeB7Itm4hu7Wl6342Il4WE2QvY89n3JWKajruJyPM6YM/JY9Pkt8nYtguA5k/cSdR5ncg7fIQV197v5sxrtfpA4X+e/UBXV4EiEghcCNxdaLYB5omIAT4wxkytaEKn22AE9wGBxyaMMRefTpWcFv1bEn1GNM/0mMKXD3/BiOdGlBrbsG1DAkIC3Jhd1Rg6rB1TPxp18sAapHn/lkSdEc1zPacw65EvuOIE+7FB24b4h9a8/dh7YEeanFWXge3vYsLY95n02hiXcaMGjefyHg9weY8HWLNiK/Nm/+3mTMtBLASPnED6W2M4POlS/Lpcglfds4qE5G1ZTtrky0mbMoyMT54g+PrJHkr2FFgsnHHf7Wx5eBLrbriLyAG9CWjcsEhIWNdOBDSox9pRt7Hr5Xc4837Hlw85+w6w4ZZ7HY8x47Dn5HJoyV+eKMUp6TmwPY3PimNwu/t5+p6PGP/6TS7jRg98mivPe5wrz3uc9Su2s2D2SjdnWk4WC3XvuJe9Tz7KjjtuJLR3f3wbNi4Skp94kN2PjmPn3beSMvMz6t3zgIeSLb8z+rQivEkMHw+YxG/jp3P+U1e7jNs8eyX/N/ApPrl4Ct7+PrS5soebMy2fc/q1JKpJNK/2nsz3j37JZc9c6TLup6e/4+0LX+CtQS+QduAw3Ub3dnOmp8BiodkDt7Du/mf4e+Q4Yi7oSWCTBkVCIrt3ILBhXZaPuIctz79Ps4ePf44c/PEP1o6b4u6sPc9uq9BDRMaIyKpCj+IfzuLiVU0p2VwKLCvWba2HMaYjcBFwl4hU+CD0aEVHRL4XkX9E5N9jb5aIXCgiq0VknYgscM6LcMauF5HlItLWOX+SiDxYaHsbRaSJiASJyI/ObWwUkatEZCxQD/hDRP5wxu8WkSjn8+ud218nIp85500TkTdF5E8R2Skiwwu91kMistK5zlPOeSVe1zn/eRHZ5Ix92R3vrSttBrVm5deOD9g9q/cQEBpASExIiTixCJdNGMKcKdX/29ST6dylMaE18EL/RFoPas0/zv2417kf65SyHy+dMIS5NXA/DrjkXL6fuRCAdSu3ERIWRHRseKnxQcH+dOvdhvlzq39Fx/uMttiS9mJP2Q+2fHJX/YRvu/5Fg3KzCp6KXyCY0j4nqo/gFk3JOZBAbkIixmol9ffFhPcs+kVeeM9uJP/6OwAZm7biFRyET0TR/RrasR258QnkJSa7Lffy6je4E3NmLgFg/cod1AkNJCo2rNT4wGB/zu3dit/nrnJThhUTcE5z8uIPkH8wAaxWjiz+nTrdzisSk735X+wZGQBkbd2Ed2S0J1KtkLPOb8um7xznjoS1u/ELCSQouuQ5ddeifwueJ6zfQ3Bc6eek6qTFwDas+WYFAPvW7MY/xPVnRm5GTsFzH3+fan3aCWl5Nln7D5ITn4SxWkmav4zo3l2KxET17sLBnxcCkP7vdryDA/GNDAMgbe1mrOkZbs66GqhgRccYM9UY07nQo3iLy36g8DdcDYD4UrK5mmLd1owx8c6/ScB3OLrCVYinu67d5BxlIQDHDUs/AB8CvY0xu0Qkwhn3FLDGGHO5iPQHPgXan2C7FwLxxphLAEQk1BhzRETux8VNTiLSCngCR00ypdDrAtQFegLNgdnA1yIyEGiKYwcIMNtZ64wu/rrObQ0FmhtjjIiEleudqgShcWEcjk8rmE6LP0JoXCjpSelF4nrd2JuN8zaWmK+qh9C4MNIK7ccjCY79eLTY/up5Y2/+nbexxPyaILZeBAcPHP83PXggldh6ESQnHnYZf/6l3fhr0QYyj2a7K8Vys4TFYD98sGDafjgR7zPalojzbX8+gUPHYakTQfrb1b/bpW9UJHlJx/dZXnIqwS3OOWmMb3Qk+YeO79fIAb1IWbC46hOuBDF1wzm4//iXkYnxh4ipF05KYprL+AGXduHvRRtrxHEK4B0ZRX5KUsG0NSWFgGYtSo0PH3gxGf9U/y8biguODeNowvFj8OjBwwTHhpGZ7PrcafG20PLyc/lj8ix3pVghIXGhHElIK5hOP5hGiIvPDIBhL19Ds34tSdqeyM+Tv3NjlqfGLzqC3ELnktykVEJaNS0WE0lOYurxmORD+EVHkpea5q40qx0xVd7VciXQVETOAA7gqMxcUyIPkVCgD3BtoXlBgMUYc9T5fCDwdEUT8nTXtbEisg5YjqMGOAZYbIzZBVCoOasn8Jlz3u9ApPNNKs0G4HwReUFEehljjpwkj/7A18cqQMWa0b43xtidI0bEOucNdD7WAKtxVIKalvK66UAO8JGIDAOycKFwc+BJci0/Fw2KpthXNiGxIbS/tD1LPq4ZFxqnJZcNwyX3Y7vB7VlaQ/ejSMlCFj9WCxs8vCc/zlpSlSlVorK17OetnU/ak5eQ/t49jvt1qjsX+6xEuU5y7Iq3N+HndeXQwmWVmlpVcX2clh5/0Yju/DzrzyrMqJKVZZ86BbZtT9jAi0j6vw+rNqcqcKrnmwFPXc3+FTs4sOq/qkyr0oiLf7zSivftgzN4vssEknccpM2lHas4swo4xX1WKKgKkqlBKtiiczLGGCuOe25+BTYDXxlj/hWR20Xk9kKhQ4F5xpjMQvNigaXOesEK4EdjzC8VLbLHWnREpC9wPtDdGJMlIguBdUAzV+Eu5hnAStHKmj+AMWabiHQCLgaeE5F5xpgT1QqF0vsQ5rrIQ4DnjDEflNiQi9cVkXOBAThqtnfjqFgVLYyj+W+qcxuV9p/Yc3RPuo/qDsDetXsJrxfGLueysHqhpCcW/UanQesGRDWJYvyf4wHwCfDhiWXjeabHadiXtRrpcUNPujr34761ewmrF1awLLRuKEeK7cf6rRsQ2SSKx5Yd34+PLR3Pcz2r73685tYLuXL0BQBsWL2DuPpRBcvi6keSlOC6NScsIpg2nZty1zXVfxACAHtaIpbwuIJpS3gs9rSkUuOt21fhFd0QCQrDZKa5IcPyyUtOwTfm+D7zjY4kL+VQsZjUE8aEde1E5vb/yD+cVuX5ltdVYy7gitH9APj3n53ENTjeASC2XgTJpRynoRHBtO50FveNfM0teVYGa0oyPlExBdPeUVHkp5Yc9dWvyZnUG/sgeyc+iu1ozWhBbn9t74J7bA5u2EOduse7odWJCyczyfX3o93vuZjAiDr8ML7C90hXqa7X96LLSMdnxv71ewmtG1awLCQujKOJpX//a+yG9XPW0Ov2/qyeVT1b6HKTUvErdC7xi4kkL6Xo/15ucir+sZEcK6lfdAS5xc5JqvIZY34Cfio27/1i09OAacXm7QTaVXY+nuy6FgocdlZymgPdAD+gj4iccazrmrN1ZTGOHxea7KwgpRhj0p0/LDQYQEQ6Amc4n9cDDhljPheRDGC08zWPAnWA4mfqBcB3IvKaMSa10OuW5ldnLtONMRkiUh/Ix/F+FnldEQkGAo0xP4nIcmBHud+xclg6bSlLpy0FoOWAlvS6sRerv19N446NyU7PKdE9bdOCTUxsP6Fg+oXtL2olpxpY9slSln3i2I8tBrSkx+herPlhNY06NiYnPadEF4TNCzbxVIfj+/HZbS9W60oOwIwPf2HGh44vb/oM6sS1Yy7ix6+X0q7LORw9klVqt7ULLz+Phb+sIi83353plpt19wa8YhpjiayPPS0Jv84Xc/R/DxWJsUQ3wp68FwCvhi3By6daV3IAMrZsx79BPfziYslLSSWyf292TC56S+LhZX8TN2wwqQsWE9yyGbbMrGLd1nqTumCRu1M/JV9O/Y0vp/4GQK9B7Rl520B+nvUXbbuczdH07FK7rQ0c2pXFv6ypMccpQPa2LfjWr49PbBz5qSmE9u7PgZeeKRLjHR1Dwyee4sArz5EXX/roj9XN2s8Xs/ZzR4v3GX1b0+G6PmyZu4q67ZuQezTbZbe1NleeR5NeLZl13RvVvmXg70+X8PenjlbuZv1b0u2G3qyfvZqGHZqQe7TkZwZAROMoDu1xXB41P78VyTsS3ZrzqTi6eQeBDeviXzeG3ORDxJzfg01Pvl4kJmXJKhoMv4jE35YR0qoptsys07rbGgBVP7x0tePJis4vwO0ish7YiqP7WjKO7mvfiogFSMLxo0OTgP9zxmYBNzi38Q1wvYisxdEvcJtzfhvgJRGx46iAHOvgPhX4WUQSjDH9jiXibFZ7BlgkIjYcXdJGl5a4MWaeiLQA/nI2eWfg6Gd4tovXrQP8ICL+OFqCxp36W1U5Ni3YRIsBLRn/5wTysvOYOW5GwbIxn93GFw/OLNHCU9M9eP83rFixh7TDWfTr/Rp339OXK0Z08HRaFbJ5wSZa9G/JY8smkJ+dxxf3H9+Pt3x6G189VPP346Jf/6HPwI78tu5dsrNzefyOtwuWTf36Ccbf/S5JBx0XyBcP78mHr1bfvuQl2G1kfDGF0Hs/AouFnGXfYkvYgX/vqwDIWfwlfh0H4tdtCNjyMfm5HP2wBgx/arOz+/X3af7yU47hpX+aT/buvcRcdiEASbN/IW35KsK6dab9jKnYc3P57/k3Cla3+PkR2rk9u155x1MlOGVLfl1Lr0Ht+XH9a+Rk5zLh9uON/O988zCT7ppK8sE0AC4c3p2PX6lhA4PY7Rx87y0aTX4BsXiR9tvP5O7dTfhFlwJw+Oc5RI+8Dq+QEOreeS8AxmZj133V/56ywnYt3MiZfVtx8+9PkZ+dx6+PfFawbOhHdzLv8elkJh3h/KdHkh5/iJGzHGMgbZ+3luVv/+yptMts6++bOKdfK+5fMpH87Dy+fXB6wbLrp93Gd4/MJCPpKMNfuxa/YH9EIGFTPLOf+MqDWZ+YsdnZ9spHtH99PGKxED/3dzJ37afe0IEAxH83j9Q/VxN5Xke6z3obW24um6e8W7B+q6fuI6xjK3zC6nDeDx+w66MvSZjzu6eK4z6nYUVHytSnUbmViJh769aAPvkV8EbCm1jN555Oo0p5y7XcX69278dX49/knOChnk6jymzL+I7kMc09nUaVip66hb96D/Z0GlWq++K5tAka6ek0qtSGzJn8e3G/kwfWYK1++oOXz6pZlahT8eB/7/F4w3s8nUaVenbfWyzodoWn06hS/f/62tXtFtWC9Y+zK3TR791vR7UtW2k8PeqaUkoppZRSqqqdhi06nh51TSmllFJKKaUqnbboKKWUUkopVdudhi06WtFRSimllFKqttOKjlJKKaWUUqrWKcOPftY2eo+OUkoppZRSqtbRFh2llFJKKaVqOdGua0oppZRSSqlaRys6SimllFJKqVpHKzpKKaWUUkqpWuc0rOiIMcbTOahiRER3ilJKKaVUDWOMEU/nUBrbd5EVur70GppabctWGm3Rqab2X9PB0ylUqQYz1nB/vbGeTqNKvRr/JlbzuafTqFLeci0pt53j6TSqTNQH206L43ROx2s8nUaVunT1DLImRXo6jSoVOCmVDYMGeDqNKtXm1wX80X2Yp9OoMv3++pb8D3w9nUaV8rktj09b3eTpNE5f9tPve3St6CillFJKKVXbnYZd17Sio5RSSimlVG2nFR2llFJKKaVUrXMadl2zeDoBpZRSSimllKps2qKjlFJKKaVUbWe065pSSimllFKqtjkNu65pRUcppZRSSqna7jSs6Og9OkoppZRSSqlap1q26IjIJCDDGPNydXp9EakHvGmMGS4ifYEHjTGDReQyoKUx5nkRuRzYZozZ5Oa0T8qv7XmEXvcgYvEic+F3ZMyZVmS5f6c+hAy/E2PsYLNx5LOXydu21iO5VsTlTw+jRf+W5GXn88W46RzYuL/U2KGTr6DLVV15/JyH3Zhh5XrisdksWriNiMggZs+9w9PpVAqflr0IuvIJsFjIWTaLnF8/LLq83QACL73X0d/YbiPzq2ex/vePh7Itn9p6nLZ66HpierTDlpPH2kkfkL5ld4mYgHrRdHzubnxDgjmyZTdrJryLsdoKloe2PJOe055i9WNvkbBghRuzPzWWs/rjc+GzYLFgW/051mVvuoyTeh3wu/kX8r6+BfvmOW7OsmKCO3Wh7h13gsXC4V9+JuWrL4os923QkAYPPIT/WWeT+Mn/kfrNLA9lWnYRXdtz9n03IV4WEuYsYO9n35WIOXvcTUR274gtJ48tU94iY9su/GIiaT5hLL6RYWA3xM/+jQNf/ej+ApyiJbsCeP6PCGwGrmidwa1djxRZvmKfP/d8H0P9UCsA5zfN5M7uR1xtqlrr8thI6vVqgy0njz+f+JhDm/eWiGk2sj/NrzufkEaxfNXzXnLTMjyQqQdpi446EWNMvDFmuIv5s40xzzsnLwdaujWxshALYaMfIfXFe0h8+AoCu1+Id/0zioTkblxB0mNXkfz4SA5PfYqwWyd4KNnya96/JVFnRPNczynMeuQLrnhuRKmxDdo2xD80wI3ZVY2hw9ox9aNRnk6j8oiFoJETSX/7FtKeugS/LoPxqntWkZD8LX9xZMplHHnmcjI+fZzg66Z4KNnyqa3HaUyPdgQ1jOOPyx9g/ZT/0eaxG13GtRh7Nbum/8wfQx8gPz2TRpf3Pb7QIrQYezXJf613T9LlJRZ8Ln6BvOlXkftOD7xaD0OiznEdd/5E7P/97v4cK8piod5d97B7/OPsGHMzoX374deoUZEQ29GjJLz3Dik1oIIDgMVC0wdvZf0Dz7DimvuIOb8ngU0aFAmJ6N6RgAZ1+fvKu9n2wnuc89AYAIzNxn9vTWPlNfeyesyj1B92YYl1qxubHZ5ZEMH7wxKZPfoAP20NYkeqT4m4Tg1y+Pb6eL69Pr5GVnLq9WpDnUax/HDx4yyf9CldJ1znMi5pzQ7m3/IKGQdS3Jxh9WDsFXvURNWmoiMiT4jIVhGZDzRzzrtVRFaKyDoR+UZEAp3zp4nImyLyp4jsFJHhhbbzsIhscK7zvHPeWSLyi4j8IyJLRKS5c/6lIvK3iKwRkfkiElsopXYi8ruIbBeRW53xTURko4vcR4vI2yJyHnAZ8JKIrHW+7upCcU1FxCNfO/ue1Rpr4n5syQfAZiVr+a/4d+pbJMbkZhc8t/gFQA2s+Lce1Jp/vl4JwN7VewgIDaBOTEiJOLEIl04Ywtwps92dYqXr3KUxoTXkQrgsvJu0xZa0B3vKfrDlk7vyR3zaDigalJtV8FR8AzCmZh2stfU4je3Tif0/LgEgbeMOfIID8YsKKxEX1aVVQUvNvrmLie3buWDZGVcNImHBSnIPp7sl5/Ky1O+IObQLk7YH7PnY/v0Or+YXlYjzOvdWbJvnYDJr3oVVQLNm5CbEk38wAWO1cmTRQup071EkxnYkjextW8FmK2Ur1UtIy7PJ3n+QnPhEjNVK0vylRPXqUiQmqlcXEn9ZBED6v9vxDg7CNzKMvNQ0MrbtAsCWlUPWnv34RUe4vQynYsNBPxqGWWkYZsXXCy5ulskfOwI9nVala9ivPTtn/wlAyvqd+NQJJCAqtETc4S17yYxPdXd61YfdVOxRA1WLio6IdAKuBjoAw4BjZ51vjTFdjDHtgM3AzYVWqwv0BAYDxyo0F+FoUenqXOdFZ+xU4B5jTCfgQeBd5/ylQDdjTAfgC6Bwv5C2wCVAd2Cis9vaCRlj/gRmAw8ZY9obY/4DjohIe2fIjcC0k22nKlgiorGlHiyYth1Kwis8pkScf+d+xLz0DZEPvUHa1KfcmWKlCI0LIy0+rWD6SMIRQuNKnux63tibf+dt5GhS9b6YOh1ZwmOxHz5+rNrTEvEKjy0R59v+fMIm/Uyduz8g89PH3ZlihdXW49Q/JoLsxOMXETlJh/CPDi8S4xMWTP7RTIzNXiLGPzqcuH6d2fPNfPclXV516mLS4wsmTXo8UqdusZg4vJpfgm3VNPfmVkl8IqPIT04qmLamJOMTGenBjCrOLzqC3MTjlc7c5EP4RUeeJCa1RIx/XDTBTc8g/d/tVZtwBSVmeFG3jrVgOraOlcQMrxJxa+P9GPppPW77JoYdKSVbfKq7wNhwMg8eKpjOSjxMQGyY5xKqruwVfNRA1eUenV7Ad8aYLAAROfb1ZWsRmQKEAcHAr4XW+d4YYwc2FWqJOR/4v2PbMcYcEpFg4DxglogcW9fP+bcB8KWI1AV8gV2Ftv+DMSYbyBaRP4BzgbXlKNtHwI0icj9wlXM7HiAlZ7n4Fjxn1R/krPoD3+YdqTPiDlKfq2H3fLgoZvFyhsSG0G5we94d/pZ7clKnqOROdNVik7d2Pnlr5+N9dmcCLruXo2+47iZVLdXW47QM5RKXQQ4tH7yOzW9+UTO+ORSXhS0y5TvoGfLnP1Vz+3y4KmMN2DUnVobzi4tyF47xCvCn1bMPseON/8OWlV0itlpxsb+Kl65lTC6/3bqfIF/D4p0B3PNDDD/ffMAt6VWaWnmsqspQXSo64PqQnAZcboxZJyKjgb6FluUWei6F/hbfjgVIM8a0d7H9t4BXjTGznYMLTDpBPuX9l/kGeBL4HfjHGOOyzVRExgBjyvkaJ2U/lIRXZFzBtFdEDLa05FLj87asxjumAZbgMOwZaVWVVqXocUNPuo7qDsC+tXsJqxdWsCy0bihHEot+G16/dQMim0Tx2LLxAPgE+PDY0vE817Nm3edRW9kPH8QSfvxYtYTFYk9LKjXeumMVXtGNkKBwTOZhd6RYLrX1OG084gIaDe0HwJFNOwmIjeTYXvCPiSAnJa1IfF7aUXzqBCFeFozN7ohJdqwR1uIMOj53NwC+YXWI6dEOu81G4sJqONBEejwScryhX0LqYY4eLBIi9drjO9wxkIYERuDV9Hzy7FbsW392a6rllZ+SjE/08ZZ/76ho8g/V7G4/ucmp+MVGFUz7RUeQl3KoaExS8ZjIghjx8qLVsw+ROG8JKYv+dk/SFRBbx0bC0eOXeolHvYkJLtrNMNjv+OVN7zOzmbxAOJxlITywelfQz7m6H02H9wYgdeNuguIiOHZVExgbTnZSmsdyq7aq9y6tEtWlorMYmOa8p8YbuBT4AKgDJIiIDzAKONlXDPNwdDObYYzJEpEIZ6vOLhEZYYyZJY5mnbbGmHVAaKFt3lBsW0NE5DkgCEcF61EcrT4nc9SZNwDGmBwR+RV4j6Jd74owxkzF0cUOEan07yHydv6Ld1xDvKLrYTuURGC3QRx6p2h3H6/YhtgS9wHg06Q54u1T7Ss5AMs+WcqyT5YC0GJAS3qM7sWaH1bTqGNjctJzSnT72bxgE091OD7QwrPbXqx2F4+nM+ueDXjFNMES2QB7WiJ+XS4h438PFImxRDfCnuwYUcerYUvE26daV3Kg9h6ne2b9xp5ZvwEQ07M9Ta4cSPyvfxHW+mysGdnkFqvoAKSs2kTdAecSP285DQf3JnGRoyLz+2XjCmLaTbqNpCVrqmclB7AfWINEnomENcKkJ+DVaih5395WJCb3zU4Fz32GvIVt27waU8kByN66Fb969fGJjcOamkJon77sf+FZT6dVIUc37yCgQV3868aQm3yImPN7smnS60ViUpaupP4VF5H021JCWjXFmplFXmoaAM0ev5Os3fvZ/0XNGD2vdVwue9O82X/Em5hgKz9tDeKli4t+yZmc6UVUoA0RWJ/gi91AWED1vyLe9sUfbPviDwDq925Ls5H92f3zCqLankl+RhbZKTVvUIUqdxq2clWLio4xZrWIfImja9geYIlz0QTgb+e8DRSqQJSynV+c98OsEpE84CfgcRyVpPdEZDzgg+N+nHU4WnBmicgBYDlQeBiyFcCPQCNgsjEmXkSalKE4XwAfishYYLjzPp3pOO49mleG9auG3UbatBeIeuQdsFjIXDQb64GdBA64AoCsBd8Q0KU/gb0GY2xWyMvl0FuPeizd8tq8YBMt+rfksWUTyM/O44v7ZxQsu+XT2/jqoZmkJ9aM+x3K6sH7v2HFij2kHc6iX+/XuPuevlwxooOn0yo/u43ML58mZOxHYPEi989vsCXswK/X1QDkLvkC3w6D8Os2BGxWTH4ORz8cd5KNVi+19ThNWrqWmB7t6ffDq9hy8lg36YOCZee+8RDrJn9IbkoaW96cScdn76HZnSM4snUP+75f6Lmky8vYyP/pUXyvnQViwbZ2BiZ5K16dRgNg+2eaR9OrFHY78e++RZNnnkcsFg7P+4XcPXsIv3gwAId/mot3eDhnvfkulsBAMIaoy4ex/babsWdlnWTjnmFsdra/+hFtX5vgGF567u9k7dpHvcsHAhD//TwO/bmayO4d6TrrHWw5uWx95h0AQts2J+6ivmTs2EPnaY5fn9j5wQwO/bW61NfzNG8LPNH/EGO+icVuh6GtMzg7Kp8v1zkup65qd5R52wL5cl0dvCzg7214+ZJk1z0zq7EDi9dTv1cbLv/5OazZefw54eOCZf3fvZe/nvyE7OQ0mo8aQMsbLyQgKpTB3z7FgSXrWf7kJx7M3L2MvYbt2EogNW20oppIRB4EQo0xZRqvWUTM/mtq8IVqGTSYsYb76431dBpV6tX4N7Gazz2dRpXylmtJuc3FkLq1RNQH206L43ROx2s8nUaVunT1DLIm1eyb6E8mcFIqGwYNOHlgDdbm1wX80X2Yp9OoMv3++pb8D8rScaTm8rktj09b3eTpNKrUdRv/V21rE/lv+Vfoot/nnpxqW7bSVItR12ozEfkOuB54w9O5KKWUUkopVVVE5ELnz8XsEJESXYNEpK+IHHH+DMtaEZlY1nXLo1p0XavNjDFDPZ2DUkoppZQ6zVVx1zUR8QLeAS4A9gMrRWS2MWZTsdAlxpjB5Vz3lGiLjlJKKaWUUrWcsUuFHmVwLrDDGLPTGJOH4771IWVMryLrlkorOkoppZRSStV2dqnQQ0TGiMiqQo/iP4tSH9hXaHq/c15x3UVknYj8LCKtTnHdU6Jd15RSSimllFInVPinUEpx8l9ShtVAY2NMhohcDHwPNC3juqdMW3SUUkoppZSq7YxU7HFy+4GGhaYbAPFFUjAm3RiT4Xz+E+AjIlFlWbc8tEVHKaWUUkqpWs4Nv6OzEmgqImcAB4CrgSK/XyAicUCiMcaIyLk4Gl1SgbSTrVseWtFRSimllFKqtrNXbUcuY4xVRO4GfgW8gI+NMf+KyO3O5e8Dw4E7RMQKZANXG8ePerpct6I5aUVHKaWUUkqp2q7qW3SOdUf7qdi89ws9fxt4u6zrVpTeo6OUUkoppZSqdbRFRymllFJKqVrOlG1AgVpFHN3iVHUiIrpTlFJKKaVqGFONaxM5kyMrdH3pPyG12patNNqiU03tG9nJ0ylUqYYz/+Gc4KGeTqNKbcv4jpTbzvF0GlUq6oNtWM3nnk6jynjLtdxbd6yn06hSbyS8yfbLe3g6jSrV9PtlZG4f7Ok0qlRQ07lsvLC/p9OoUq1/+Z09V3bxdBpVpvFXK8maGOXpNKpU4NMp/NT5ak+ncdpyw6hr1Y5WdJRSSimllKrtTsOKjg5GoJRSSimllKp1tEVHKaWUUkqpWq4a3z5UZbSio5RSSimlVG1XxT8YWh1pRUcppZRSSqla7nQcjOD0q9oppZRSSimlaj1t0VFKKaWUUqqW03t0lFJKKaWUUrWP3qOjajO/tt0Ju/5BxGIh84/vOTrnkyLLA3pcSJ1LbwDA5GSR9vHz5O/d7olUK+SJF2+mz8CO5GTn8ujtb7Np3c4SMdN/nUJQcAAAkdGhrP9nO3eNfMHdqZaLT8teBF35BFgs5CybRc6vHxZd3m4AgZfeC8YOdhuZXz2L9b9/PJRt5XjisdksWriNiMggZs+9w9PpVIphk4fRon9L8rPzmTFuOvs37C89dsoVdL2qK480fdiNGVZMYIeuRN18L1gspM+fS9q3RX9YNrj3BYQPHQWAPSeb5A9eIW/3Dk+kWm7LVmXy0tQk7Ha4fGAoN10ZUWT50Uwb418+SEJyPjYbXD8snCEXhHoo2/IJ7tSFuNvvAouFtF9+ImXWF0WW+zZoSP37H8b/7LNJ+uRjUr+Z5aFMy8+/XTfCRz8AFguZv/9A+g+fFlke2HMQIZddD4DJyebQ/14gf0/N+Wy0nN0fn4ueAfHCtvpzrEvfdBkn9drjd+sv5M26FfumOW7OsnxaPHAD0T3aY8vJY8NT75G+dXeJmIB60bR/Ziw+IUGkb93NuonvYKw2Ynp3ountV4KxY6x2Nr/6KYfXbXV/IdzodLxHRys6lUBEvI0xVk/ncUJiIfzGR0h+7i5sqYnETPmU7NWLsR7YVRBiS4onefIYTOZR/NudR/gtT5A0cbTnci6H3gM70uSsugxsfxftupzDpNfGcGX/R0vEjRo0vuD5m58/xIIfV7ozzfITC0EjJ5L+xo3YDycS+tjX5K//HVvCfwUh+Vv+4si6BQB41W9GnVtfJ23SRZ7KuFIMHdaOUdd24dFHvvd0KpWiRf+WRJ8RzTM9ptC4Y2NGPDeC1wa/5jK2YduGBIQEuDnDCrJYiB5zPwcmjcOamkTDFz8ic8VS8vfvLgixJiZwYPw92DOPEtixGzF3PMz+R8Z4LudTZLMZnn8vifem1Cc2yodR4/bQp1sQZzXyK4j5am4aZzb05Y0n63PoiJWhY3Zzcd8QfHxqyMWGxULdu8ay+/GHsaYkc+Yb73L077/I3bunIMR29CgJ779NSPceHky0AsRC+E0Pk/TM3dhSk4h77hOyVi0p8tloTYon8anbHZ+N7bsTcetjJI6/yYNJnwKx4HPJ8+R9OgKTHo/fmHnYtv6CSd5WMu6Cidh3/OGZPMsh+rz2BDWKY/GwcYS1PptWj97MXzdOKBHX7O5r2D3jJxJ++4tWj95MwyH92PvNfFJXbiRpseNLwDpnN6L9c2NZMuJBdxfDrU7HrmunXxsWICLXisgKEVkrIh+IiJeIZIjIMyKyTkSWi0isMzZaRL4RkZXORw/n/EkiMlVE5gGfOuN+E5HVzm3uEZEoEZksIvcWeu1nRGSsu8vse3YrrIn7sCUdAJuV7L/mEdCpT5GYvO3rMZlHAcjdsQGviBh3p1lhAy45l+9nLgRg3cpthIQFER0bXmp8ULA/3Xq3Yf7cv92UYcV4N2mLLWkP9pT9YMsnd+WP+LQdUDQoN6vgqfgGYIxxc5aVr3OXxoSG1rCL/RNoM6g1K792VK73rN5DQGgAITEhJeLEIlw2YQhzpsx2d4oV4t+0BfkJ+7EmxoPVSsbS+QSf27NITM7Wjdid55ucrf/iHRntiVTLbeO2HBrW86FBXV98fIRBvUNYuDyzaJAImdl2jDFkZxtC63jh5eWZfMsj4Jzm5MUfIP9gAsZq5ciiP6jT7bwiMbYjaeRs24qxVu/v+krj+Gzcjy0pHmxWsv6cR2CX3kVi8rZtOP7ZuH0jXpE157PRUr8j5tBuzOE9YMvHtvF7vJqX/OLLq+ut2DbPxWSmeCDL8onp04kDPy4BIG3jDrzrBOIXGVYiLrJLKw7+7viMP/DjYmL6dAbAlp1bEOMV4Ac1/6NSuXDaVXREpAVwFdDDGNMesAGjgCBguTGmHbAYuNW5yhvAa8aYLsAVwEeFNtcJGGKMuQZ4EvjdGNMR+A5o5Iz5H3CD87UtwNXA9CorYCm8wmOwpSYWTNsOJZ2wIhPUdwg56/50R2qVKrZeBAcPHD9RHzyQSmy9iFLjz7+0G38t2kDm0Wx3pFdhlvBY7IcPFkzb0xLxCo8tEefb/nzCJv1Mnbs/IPPTx92ZoiqD0LgwDsenFUynxR8hNK5kl6ZeN/Zm47yNpCeluzG7ivOKiCY/Jalg2pqajNcJKjIh5w8mc/Vyd6RWaZJSrcRGHe8UERvlTXJqfpGYqweHsWtfHgOv28mIu3bz0JhoLJaa842qT1QU+cnJBdP5Kcl4R0Z5MKPK5xURXeSz0ZqahFd46cdqcL/LyFn7lztSqxwhdTFHDhRMmiPxSJ26RWPqxOHV4mJsK6e5N7cK8o+OICcxtWA6J+kQfjFFP+99QuuQfzQTY7M7Y1LxLxQT27czvWa9TKfXHmbD5A/ck7gn2S0Ve9RAp2PXtQE4KigrRQQgAEgC8oC5zph/gAucz88HWjpjAUJEpI7z+WxjzLEr5J7AUABjzC8ictj5fLeIpIpIByAWWGOMOf6f6S6uPltL+abfr2UngvoOIfmpW6o2pypQaD8VOFGLxuDhPZn1yfyqTKmSla18eWvnk7d2Pt5ndybgsns5+saN7khOlZWL/8fi+zEkNoT2l7bn7SveclNSlcjF/2Fp55uA1h0IOf8S9j9+ZxUnVclcFqdouf9cnUmzM/2Y+lwD9iXkc8f4/XRoHUBwYA1q1imhln3t7epYLYVfq04E97+MxIk1p4tlKR/+RaZ8L3qG/N+edtzXWZOU4TzjcvcWiklcuIrEhasI79CcprePYOVdz1ZyktWL3qNzehDgE2PMY0Vmijxojl9p2Dj+3liA7oUqNMfiAQr3UzjR0fMRMBqIAz52mZTIGKDKzp62Q0l4RR7/5t8rIgbb4eQScT4Nzyb81gmkvDAWe8aRqkqnUl1z64VcOdpRL92wegdx9Y9/4xhXP5KkhMMu1wuLCKZN56bcdU3NGIQAwH74IJbwuIJpS1gs9rSkUuOtO1bhFd0ICQrHZLp+H5R79Bzdk+6jugOwd+1ewuuFcewugLB6oaQnFm21adC6AVFNohj/p+N+Mp8AH55YNp5nekxxZ9rlYktNwifqeIuxd2Q0tkMlu8T4Nj6LmLseJX7yg9iP1qxWq5gobxJTjnfXSkyxEh1Z9CN19m/p3DgiHBGhUT1f6sf6sHtfHq2b1YxumPkpKfhEH2/d8ImKxprq/u/pqpIttehno3dkKZ+Njc4mYswTJD9/X435bAQgPR4JrV8wKaH1MEcPFgmReu3wHT7V8TwwEq+mA8izW7Fv+dmtqZZFoxEX0PDy/gAc2bQT/9jIgmX+MRHkJhf9nMtLO4pPnSDEy4Kx2fGPiSQnueRn4eE1WwisH+toATpytGoL4UF6j87pYQEwXERiAEQkQkQanyB+HnD3sQkRaV9K3FLgSmfMQKDwjSHfARcCXYBfXa1sjJlqjOlsjOlcxnKckrz/NuEd1xCv6Hrg5U1A94Fk/7O4SIxXZCyR417i0LsTsR7cWxVpVIkZH/7C5T0e4PIeDzB/7gouH9kXgHZdzuHokSySE11f4F94+Xks/GUVebn5LpdXR9Y9G/CKaYIlsgF4+eDX5RLy1/9eJMYS3ajguVfDloi3j1ZyqoGl05by0gUv8dIFL7Hhlw10Gd4FgMYdG5OdnlOie9qmBZuY2H4CT3d9mqe7Pk1+dn6NqOQA5Gzfgk/dhnjH1AVvb4J7nk/mymVFYryjYol75BkSX59Mfvw+D2Vafq3O8WfvgXwOHMwnP9/w6+J0+nYNKhITF+PNinWOe+ZSD1vZfSCP+nG+nki3XLK3bcG3Xn18YuMQb29C+/Tj6PKa16X5RPL+24RPoc/GwPMGkr1qSZEYr8hYoh54gdR3nsSaUHM+GwHs8WuQiDOQsEbg5YNX68uxbfmlSEzu653Jfb0Tua93wrZpDnk/PlItKzkAe2f9xrJRj7Fs1GMkLlxF/Ut6ARDW+mysGVnkpqaVWCd11b/E9e8KQP1LehcMQBDY4HgFN6RZEyw+3rW6knO6Ou1adIwxm0RkPDDPec9MPnDXCVYZC7wjIutxvF+LgdtdxD0FzBSRq4BFQAJw1PmaeSLyB5BmjLFVXmlOgd1G2rSXiHr0LcTiRebC2VgP7CRowBUAZC74hpBht2KpE0rYjY8UrJM0/nqPpFtei379hz4DO/LbunfJzs7l8TveLlg29esnGH/3uyQddFz0Xzy8Jx+++p2nUi0fu43ML58mZOxHYPEi989vsCXswK/X1QDkLvkC3w6D8Os2BGxWTH4ORz8c5+GkK+7B+79hxYo9pB3Ool/v17j7nr5cMaKDp9Mqt00LNtFiQEvG/zmBvOw8Zo6bUbBszGe38cWDM0u08NQodhvJH75KvSdfRSwW0hf8SN6+XYQMGgJA+q8/EH7laLzqhBJ92wMAGJuN/Q/VnO6y3l7CI3dEc+eE/djtMOSCEM5q7Mesn9IAGHFxGLdeHcmTrx1kxJ27McC9o6MJD61B3dbsdhLee4vGU15AvCwcnvczuXv3EH7xYAAO/zQX7/BwznzzPSyBgWA3RF5+BTtuuwl7VtZJNl5N2G0c+vglYh5/0zG89MI55O/fSfD5wwDImP8tocNvwSs4lIibHZ+NxmYj8fEbPJl12dlt5P/0GL7XfQUWC7Y1MzHJW/Hq7MjftuqTk2yg+kpetoboHu3p893r2HJyWf/08XtsOr3+MBunfEhuymG2vj2T9s/cQ9M7riR96272/+AYWS6u/7nUu6Q3xmrFlpPH2sddD7tdq9TQ+2wqQmrDiEzVgYj4ATZjjFVEugPvOQc7ODYIwWpghDHmpIPvi4jZN7JTlebraQ1n/sM5wUM9nUaV2pbxHSm3nePpNKpU1AfbsJrPTx5YQ3nLtdxb1+2DJLrVGwlvsv3yGjo0cBk1/X4ZmdsHezqNKhXUdC4bL+zv6TSqVOtffmfPlV08nUaVafzVSrIm1q7BHooLfDqFnzpf7ek0qtRFK2dW2/5hh+9qWqGL/vB3tlfbspXmtGvRqUKNgK+clZo8nKO2iUhLHIMcfFeWSo5SSimllFKV7XS8R0crOpXEWYkp0ZfGGLMJONP9GSmllFJKKeVwOo66dvp11lNKKaWUUkrVetqio5RSSimlVC1nzOnXvqEVHaWUUkoppWq707DrmlZ0lFJKKaWUquV0MAKllFJKKaVUraODESillFJKKaVULaAtOkoppZRSStVyOhiBUkoppZRSqtY5HbuuiTHG0zmoYkREd4pSSimlVA1jqvEd/wnXt6/Q9WXdT9dW27KVRlt0qqnXm97u6RSq1H3b3yd5THNPp1Gloqdu4f56Yz2dRpV6Nf5N7q1be8v4RsKbWM3nnk6jSnnLtUxrebOn06hSozf9jxGh93g6jSo168hbvN9sjKfTqFK3b53KjDajPZ1GlblmwzQmNKrdx+nkvW+xvM8lnk5DVSERuRB4A/ACPjLGPF9s+SjgEedkBnCHMWadc9lu4ChgA6zGmM4VzUcrOkoppZRSStVyVd3YJCJewDvABcB+YKWIzDbGbCoUtgvoY4w5LCIXAVOBroWW9zPGpFRWTlrRUUoppZRSqpZzwz065wI7jDE7AUTkC2AIUFDRMcb8WSh+OdCgKhM6/YZfUEoppZRS6jRjjKVCDxEZIyKrCj2K95etD+wrNL3fOa80NwM/F04RmCci/7jYdrloi45SSimllFK1XEVbdIwxU3F0NSuNqxdwOQCCiPTDUdHpWWh2D2NMvIjEAL+JyBZjzOJyJ4y26CillFJKKaUqbj/QsNB0AyC+eJCItAU+AoYYY1KPzTfGxDv/JgHf4egKVyFa0VFKKaWUUqqWM0Yq9CiDlUBTETlDRHyBq4HZhQNEpBHwLXCdMWZboflBIlLn2HNgILCxomXWrmtKKaWUUkrVclU96poxxioidwO/4hhe+mNjzL8icrtz+fvARCASeFdE4Pgw0rHAd8553sAMY8wvFc1JKzpKKaWUUkrVcm4YdQ1jzE/AT8XmvV/o+S3ALS7W2wm0q+x8tKKjlFJKKaVULVfVLTrV0UkrOiLypzHmvFPdsIhcDmwr9iNBHiMiYcA1xph3yxCbYYwJrvqs3K/P+Ctp0qcV1uw85j36Kcmb9pWIGfTyjcS2bozNaiNx/W5+nzgdu9XugWxPnU+rngRd+ThisZCz9Guyf/2oyHLfdv0JvGwsGDvGbiPzy+ew/rfaQ9mW3+VPD6NF/5bkZefzxbjpHNi4v9TYoZOvoMtVXXn8nIfdmGHFDZvsKGN+dj4zxk1n/4bSyzhsyhV0vaorjzStWWUs7InHZrNo4TYiIoOYPfcOT6dTKc59bCT1e7fBmp3Hsic+5tDmvSViml/TjxbXXUBIoxi+6HEfuWkZHsi0/G584Qo6XNCS3Ow83r1zOrvWlTxO73x3FC17nE1WejYA79w5nT0bDrg71XI774mraNS7NdacPBY+No0UF58b/V+6iejWjbHn20jasJslT35eYz43ADo+cg31erXFlpPH8gn/4/DmPSViml49gGbXXkCdRrF80/se8mrQsXrxpCto2q8l+dl5fPfgdBJcfGYMeXEk9ds0AoHUXcl898Dn5GXleSDbsgk9tyON7x6DeFlI+nEeCTO+LhHT+J4xhHXrjD0nl/+ef52s7f8BEDd8CNGXDAQga+dudr7wOiYv3635K/c46WAE5ankOF0OtHS1QEQ80ZIUBtzpgdetNpr0aUVYkxg+ueBJFkyYQf+nRrqM2zpnBZ9eOInpgyfj7e9DqxE9XcZVO2IheOQE0t8aw+FJl+LX5RK86p5VJCRvy3LSJl9O2pRhZHzyBMHXT/ZQsuXXvH9Los6I5rmeU5j1yBdc8dyIUmMbtG2If2iAG7OrHC36tyT6jGie6TGFLx/+ghEnKGPDtg0JCKl5ZSxu6LB2TP1olKfTqDT1e7WhTuMYvrvocf6a9CndJl7rMi5p9Q7m3fwKGQcq7Yew3abDBS2JOzOasR0nM/XeL7nllStLjf1swg883OtFHu71Yo2q5DTs3ZrQxjF8MWgCiyd+Ts8nXR+j2+es4MuLnmTWZU/j7e9D8+E15HMDqNuzLXUaxzJ38KOseHoancdf5zIuZe12/hjzUo07Vpv2a0nkGdG80Wcysx/7kkunuD5Of3n6O9696AXevfAFjsQfpusNvd2c6SmwWGhy7x1sfeRJ1t9wJ5H9+xDQuGGRkNCunfFvUI91o8aw65W3OWOc4xLQJyqS2CsuZeNt49hw412IxUJk/2pc1kpU0d/RqYlOmrWIZDj/9hWRhSLytYhsEZHp4rxjSESeF5FNIrJeRF4WkfOAy4CXRGStiJzlXPdZEVkE3Csi00RkeCmvs0hEvhKRbc5tjxKRFSKyQUTOcsZFi8g3IrLS+ejhnD9JRD52vt5OERnrfInngbOc+bwkIsEiskBEVju3O8RF2U9U5k7OPP8RkV9FpK5z/thC78UXznl9nK+7VkTWHBtVwt3OHNCOzd8tB+Dgul341QkkMDqkRNzuRf8WPE9cv5vguDB3pVgh3me0xZa0F3vKfrDlk7vqJ3zb9S8alJtV8FT8AsG4HN69Wms9qDX/fL0SgL2r9xAQGkCdmJL7USzCpROGMHfK7BLLqrs2g1qz0lnGPc4yhpRSxssmDGFODSxjcZ27NCa0BlZKS9Owf3t2zv4LgJT1O/GtE0hAVGiJuENb9pEZn1pifk3Q+eI2LP5iBQDbV+0mKDSAsNiSx2lN1mRAO7b94PjcSFq3C7+QAJefG/sWHx8cKWn9boLiwt2WY0U16NeB3XMcP9ae6jxW/V0cq4e37K2Rx2rzC9qw9hvHcbp/zW78QwIIdnE+zc3IKXju7edTrT8eg5ufQ86BBHITEjFWK4d+X0x4j25FYsJ7dCXl198ByNi0Fa/gIHwiHMeleHlh8fMFLwsWfz/yUw65vQyeYDdSoUdNdKotKx2AVjjGxF4G9BCRTcBQoLkxxohImDEmTURmA3ONMV8DOOsHYcaYPs7paSd4nXZAC+AQsBP4yBhzrojcC9wD3Ae8AbxmjFnqHKruV+c6AM2BfkAdYKuIvAc8CrQ2xrR3vr43MNQYky4iUcByEZltTIl/bVdl/ht4C8f438kichXwDHCT83XOMMbkOrvLATwI3GWMWSYiwUAOHhAcG0bGwcMF0xmJhwmODSMrOd1lvMXbQvMhXVn0zCx3pVghlrAY7IcPFkzbDyfifUbbEnG+7c8ncOg4LHUiSH+75nURCo0LIy0+rWD6SMIRQuNCOZpUdD/2vLE3/87bWGJ+TRAaF8bhQmVMi3eUMb1YWXrd2JuN8zaWmK88LzAmjMyDxy8eshIPExgbRnbKEQ9mVbki6oaSciCtYDo1Po2IuqGkJZY8HkdOuIThjwxi46JtTJ80B2ue1Y2Zll9QbBiZCcf3Y+bBNAJjw0/4udH0sm78+eyX7kqxwgJcHasx4eTUkmM1JC6UI4XOp+kH0wiJDSXDxXnz8peu4Zx+LUnekcivU75zY5anxjc6krzk5ILpvOQUglo2KxGTm5xSKCYV3+hIMrfuIOHL7+jw1f9hz83jyMo1HFm1xm25e5I7BiOobk61HWqFMWa/McYOrAWaAOk4Ltw/EpFhQFbpq1PWM99KY0yCMSYX+A+Y55y/wfmaAOcDb4vIWhxjdIcUain50RiTa4xJAZJwDFlXnADPish6YD5Qv5Q4V2VuBrTG8auta4HxOH4UCWA9MF1ErgWOfZItA151ti6FGWNKfMKJyBgRWSUiq074zlREmX+v1qHfpJEcWLmD+FU7qiylylW2AuatnU/ak5eQ/t49jvt1ahqXxSxazpDYENoNbs/Sjyv0g8Ke46KMxb+DCIkNof2l7VlSU8tYyzm/3CqiOn9DXB5lLeOMp+ZwX5dneKzfKwSHBzLkvvPdkF1lcfnPWGp0z4nXcHDVdg7+U1M+NwCX+7H2HKyn8r/4/UMzeOncCSTvOEjrSztWcWaVrEShXO9Xr+Agwnt0Ze3VN7PmiuuxBPgReUFft6So3O9UW3RyCz23Ad7OMbPPBQbg+GGgu4H+rlYGMgs9t+KsaDm7g/mW8jr2QtP2QjlbgO7GmOzCL+D8hy6Rp4tcRgHRQCdjTL6I7Ab8XcS52pYA/xpjuruIvwTojaPr3gQRaWWMeV5EfgQuxtFydL4xZkvhlYwxU4GpzjJU2hm27ag+tL6yBwCJG/YQXKg7QXBsOBlJaS7X63r3JQREBLNgwtTKSqXK2dMSsYTHFUxbwmOxpyWVGm/dvgqv6IZIUBgmM80NGZZfjxt60nWU43Dbt3YvYfXCCpaF1g3lSLFvkOu3bkBkkygeWzYeAJ8AHx5bOp7nek5xW86nqufonnR3lnHv2r2E1wtjl3NZWL1Q0ouVsUHrBkQ1iWL8n8fL+MSy8TzTo/qWsbZrNrIf5wzvBUDKxt0ExUUULAuMDSe7lPNNTTLoll4MuMFxnP63ei9R9cPY6lwWWS+MwwdLtgIca+Gx5ln5Y/rfXHp3aR+R1UOra/rS3HlvZvKG3QTVjcDxnSMExYWRVcp+7HTXYPwj6jDvnvddLq9Oml7Vn7Ou6ANA6r+7CIqL4Nh3/4Gx4WQnp3kst8pw7vW96HS14zg9sH4voYU+M0LiwjiaVHprlbEbNs5ZQ4/b+rNm1t9VnWq5OFpnogumfaOjSnQ/y0tOwS86ioyCmEjyUw4R2qk9uQmJWI84/i8PL/6LOq1akPrbQjdl7zk66lo5OLtiBRpjfhKR5cCxr3GO4ug6VprdQCfgK2AI4HOKLz0PR6XqJWce7Y0xa08QXzyfUCDJWcnpBzQ+hdfeCkSLSHdjzF8i4gOcA2wGGhpj/hCRpcA1QLCIRBpjNgAbRKQ7jq51W0rdeiVaP30R66cvAqBJ39a0u7Yv235cRVy7M8jNyHbZ/aDViB406tmCb294o0Z9BWvdvQGvmMZYIutjT0vCr/PFHP3fQ0ViLNGNsCc7Rn7yatgSvHyqfSUHYNknS1n2yVIAWgxoSY/RvVjzw2oadWxMTnpOie5pmxds4qkOEwqmn932YrWu5AAsnbaUpdMcZWw5oCW9buzF6u9X07hjY7LTc0p0T9u0YBMT2x8v4wvbX9RKjodtnfkHW2f+AUD93m1ofk1/dv20gqi2Z5KfkV0ruq39+tESfv1oCQAdBrbkwlt7s+yb1TTt3ISs9ByX3dbCYkMK5ne5pC37Nie4NedT9e+Mhfw7YyEAjfq0ptWofvz340pi2p1B3lHXnxvNh/egQc+WzB39Wo343Nj+5e9s/9Jx/0a9Xm1pOnIAe37+m8i2Z5J/NLvGd1tb8ekSVnzqOE7P6d+Srjf0ZsPs1TTo0IScozkuu61FNI7i0B5Hda/Z+a1I+S/RrTmfioyt2/BvUA+/uFjyUlKJ6N+b/6a8VCQm7c+/iR06mNTfFxPcshm2zCzyDx0mNymZ4JbNsPj5Yc/NJaRjOzK3bvdQSdxLKzrlUwf4QUT8cbR0jHPO/wL40Nlda7iL9T50rrcCWEDR1p6yGAu84+x65g0sBm4vLdgYkyoiy0RkI/Az8AIwx9lVbC2nUPEwxuQ5B1J4U0RCna//OrAN+Nw5T3DcQ5QmIpOdlSkbsMn5+m63e+FGmvRpzQ3zn8aancdvj31asGzIh3cx/4nPyUw6Qv+nRpIef4irvnJUEnbMW8uKd34qbbPVh91GxhdTCL33I7BYyFn2LbaEHfj3vgqAnMVf4tdxIH7dhoAtH5Ofy9EP7/dw0qdu84JNtOjfkseWTSA/O48v7p9RsOyWT2/jq4dmlmj9qGk2LdhEiwEtGf/nBPKy85g57ngZx3x2G188WPPLWNyD93/DihV7SDucRb/er3H3PX25YkQHT6dVbgcWb6BB7zYM+/lZrDl5LBv/fwXLBrx3L39OnEZ28hGajxpA65sGERAVymXfTWL/4g389eQnHsy87NbM20THC1rx5pqJ5GXl8e5d0wuWPfrVbXwwdiaHD6Yz9sPrCYkMBoE9Gw4w9f6ac//K3kUbadS7DVfPm+IYXvrx4/vmog/uZtGEz8hKOkKvSaM4Gn+Iy794BIBdv61h9bs/eirtUxK/ZD11e7Vl8I8vYMvJ4+8J/ytY1uedcayY9H9kJ6dxzjXn0+LGi/CPDOWir58mYekGVkz6vxNsuXrY9vsmmvZrxX2LJxYML33MtdNu44eHZ5KRfJRhr16LX7A/CBzcHM/cJ77yYNYnYbOz+433afbS04jFQvLPv5G9ey8xl10EQNLsn0lbvoqwrp1pN/1D7Lm57HzhdQAyN2/j0KJltP7wdYzNTtb2/0ia+4sHC+M+p2NFR2pTP9TaQkTM601LrbPVCvdtf5/kMc09nUaVip66hfvr1cB7gE7Bq/Fvcm/d2lvGNxLexGo+93QaVcpbrmVay5s9nUaVGr3pf4wIvcfTaVSpWUfe4v1mYzydRpW6fetUZrQZ7ek0qsw1G6YxoVHtPk4n732L5X0u8XQaVarrwrnVtjax6ZL+Fbrob/nj79W2bKWpmYNiK6WUUkoppdQJeOKHO5VSSimllFJudDoOL60VHaWUUkoppWq50/EeHa3oKKWUUkopVctpRUcppZRSSilV69hPw4qODkaglFJKKaWUqnW0RUcppZRSSqlaTruuKaWUUkoppWodregopZRSSimlah29R0cppZRSSimlagExxng6B1WMiOhOUUoppZSqYUw17h+2qv/FFbq+7Pz7T9W2bKXRrmvV1NTmt3o6hSo1ZsuH/NV7sKfTqFLdF89lTsdrPJ1Glbp09Qy2X97D02lUmabfL2Nay5s9nUaVGr3pf1jN555Oo0p5y7Us6THE02lUqV7LfiDvdX9Pp1GlfO/L4YdafE4dsnoGC7pd4ek0qtSA5d+w8Lyhnk7jtFWN62BVRis6SimllFJK1XKn4z06WtFRSimllFKqljsdW3R0MAKllFJKKaVUraMtOkoppZRSStVyp2OLjlZ0lFJKKaWUquX0Hh2llFJKKaVUraMtOkoppZRSSqla53Rs0dHBCJRSSimllFK1Tq1t0RGRDGNMsIjUA940xgz3dE7VQffHr6Jh7zZYc/JY9Pg0UjftLRHT78WbiWrdGLvVRvL63SyZ9DnGavNAtmUTem5HmtxzK2KxkPTjb8TP+LpETOOxYwjv2glbbi7/PfcGWdv/w79hfZo++XBBjF+9OPZ/PJ2DX892Z/pl1uqh64np0Q5bTh5rJ31A+pbdJWIC6kXT8bm78Q0J5siW3ayZ8G6RfRfa8kx6TnuK1Y+9RcKCFW7M/tQEduhK1M33gsVC+vy5pH1b9Actg3tfQPjQUQDYc7JJ/uAV8nbv8ESq5XbuYyOp37sN1uw8lj3xMYc2l/xfbH5NP1pcdwEhjWL4osd95KZleCDTyvHEY7NZtHAbEZFBzJ57h6fTKbewrh04895bEIuFxLm/sf/zb0vEnHnvLYR374Q9J5dtz75J5radAHSeNRVbVjbGbsfYbKy75UF3p3/KpPEFePV5GcQL+7/TsK96uejy+r3wunQWpO8GwL7jB+wrnvNApqem9UPXE+s8n66Z9AFHXJxPA+tF0+m5u/Fxnk9XO8+nkZ1acO6r95N1IBmAhD9Wsu3D79xcghOL6NaepvfdiHhZSJi9gD2ffV8ipum4m4g8rwP2nDw2TX6bjG27AGj+xJ1EndeJvMNHWHHt/W7OvOzCu3bg7PtuQiwWEubMZ9/nJffBWffdTGT3jthyctn6zNtkbNuJX0wkzSeMxSciHIydhB9+48CsHz1QAvczaItOrWOMiddKjkPD3q0JbRzLVxeOZ+mTn9Fz4iiXcTvm/s2siyfyzWVP4eXvQ/PhPd2c6SmwWDjjvtvZ8vAk1t1wF5EDehPQuGGRkLCunQhoUI+1o25j18vvcOb9jousnH0H2HDLvY7HmHHYc3I5tOQvT5TipGJ6tCOoYRx/XP4A66f8jzaP3egyrsXYq9k1/Wf+GPoA+emZNLq87/GFFqHF2KtJ/mu9e5IuL4uF6DH3Ez/5QfaOvZY6Pc/Hp0GTIiHWxAQOjL+HfeNGc3jWJ8Tc8bDrbVVT9Xu1oU7jGL676HH+mvQp3SZe6zIuafUO5t38ChkHUtycYeUbOqwdUz9yfc6pMSwWzrr/Nv598GlWX3sP0ef3IqBJgyIh4d064d+wLv9cfQc7XnqXsx+8vcjyDWPHs/bGcTWikoNY8Or7Otbvh2D9rAOWc0ZARPMSYSZ+GdYZ3bDO6FYjKjnHzqcLLn+AdVP+R9sTnE//m/4zvzvPp40LnU9T12xl0TWPs+iax6tdJQeLhWYP3MK6+5/h75HjiLmgJ4HFjtPI7h0IbFiX5SPuYcvz79Ps4TEFyw7++Adrx01xd9anxmKh6QO3suGBKawcdS8x5/cqUcaI7h0JbFCXFVfdxbYX36fpg44yGpud/976hFWjxrJmzKPUG3ZRiXVrK2OkQo+yEJELRWSriOwQkUddLBcRedO5fL2IdCzruuVR6ys6ItJERDY6n/8tIq0KLVsoIp1EJEhEPhaRlSKyRkSGOJePFpFvReQXEdkuIi8WWnegiPwlIqtFZJaIBDvnPy8im5w772XnvBEislFE1onIYve+A8c17t+e7T84LuST1u3CNySAgOjQEnH7Fm8seJ68YTdBseFuy/FUBbdoSs6BBHITEjFWK6m/Lya8Z9ciMeE9u5H86+8AZGzaildwkOObnEJCO7YjNz6BvMRkt+V+KmL7dGL/j0sASNu4A5/gQPyiwkrERXVpVdBSs2/uYmL7di5YdsZVg0hYsJLcw+luybm8/Ju2ID9hP9bEeLBayVg6n+Bzi1a2c7ZuxJ551Pn8X7wjoz2Rark17N+enbMd/4sp63fiWyeQgKiS/4uHtuwjMz7V3elVic5dGhMaGuDpNCqkToum5OxPIDfecb5Jnr+UyGLnm4he55L0y0IAjv67zXG+iay+59ATkdgumCP/OVpr7PnYt83CcuZgT6dVYXGFzqeHT+F8GlfofFqdhbQ8m6z9B8mJT8JYrSTNX0Z07y5FYqJ6d+HgzwsBSP93O97BgfhGhgGQtnYz1vTq3Xoc0uJssvcnkOP8X0xasJTIXucWiYnseS4HC/0vetcJwjcynLzUw2Q4W1ltWTlk7dmPX3Sku4vgEXYjFXqcjIh4Ae8AFwEtgZEi0rJY2EVAU+djDPDeKax7ymp9RaeYL4ArAUSkLlDPGPMP8ATwuzGmC9APeElEgpzrtAeuAtoAV4lIQxGJAsYD5xtjOgKrgPtFJAIYCrQyxrQFjn0lMhEYZIxpB1zmhnK6FBQbRsbBwwXTmQcPExQTVmq8eHvR9LJu7F+6sdQYT/ONiiQv6fi33XnJqfhGRZ48pthJLXJAL1IWeKwOelL+MRFkJx6/4M1JOoR/dNGLJ5+wYPKPZmJs9hIx/tHhxPXrzJ5v5rsv6XLyiogmPyWpYNqamozXCSoyIecPJnP1cnekVmkCY8LIPHioYDor8TCBsWGeS0iViW90BLmFziW5yan4RkcUifGLiih6vklKxS/KGWMMrV+dRPv/vULsZQPdknOFBNeDo/sLJk3GAQiuXyJM4rrifc3feA35HiJauDHB8il+Ps12cT71DQvGWuh8Wjwmos3Z9Jn5LF3ffJg6Z5Z8TzzJr/hxmpSKX/HjNDqSnELvQW7yoRp1se8bHUluUqH8XZax5PtQ4v81LprgpmeQ/u+2qk349HEusMMYs9MYk4fjuntIsZghwKfGYTkQ5rwmL8u6p6zW3qNTiq+A34AncVR4ZjnnDwQuE5FjfQn8gUbO5wuMMUcARGQT0BgIw1HbXCYiAL7AX0A6kAN8JCI/AnOd21gGTBORr4CSHbrdRVzUxo0pNbznxGtIWLWNg/9U43sfXJWJYmVyGXI8Rry9CT+vK/umflqpqVWqk5TBEVL6ty0tH7yOzW9+AfbS93e1cQrHaUDrDoScfwn7H7+zipOqXOKijCf4V1TVhctj8+Qxx0LW3/EoeamH8QkLpfXrk8jes5/0dZsqPc3Kc/L/RZO8Fuv/NYP8TKTJILwv/QrrJ23clF/5uP7YKLEjS13/yJbd/Db4XmzZucT0aEeXV+7n96EPVGqOFeLy/FKGE0xNOgmV4aP/ZJ8llgB/Wj3zMP+9+TG2rOxKTa+6csPw0vWBfYWm9wNdyxBTv4zrnrLTqqJjjDkgIqki0hZHK81tzkUCXGGM2Vo4XkS6ArmFZtlwvGcC/GaMGVn8NUTkXGAAcDVwN9DfGHO7c1uXAGtFpL0xJrXYemNwNOFVqpbX9KX58F4AJG/cTXBcOInOZUFx4WQmH3G5Xsc7B+MfXoclT37ucnl1kZecgm9MVMG0b3QkeSmHisWknjAmrGsnMrf/R/7htCrP91Q0HnEBjYb2A+DIpp0ExEZyrD3OPyaCnJS0IvF5aUfxqROEeFkwNrsjJtmxRliLM+j43N0A+IbVIaZHO+w2G4kL/3FXccrMlpqET1RMwbR3ZDS2QyXvUfFtfBYxdz1K/OQHsR+t3t3xAJqN7Mc5zv/FlI27CYo7/s1iYGw42UlpHspMlVVeUip+hc4lfi7ON7nFzzcxx2PyUh3/j/lpR0hd/Dd1Wjat3hWdjANQ5/i9CxJcHzLji8bkHS14anb/Cv3eAP9IyKleXS6bjLiAxs7zaZrzfHpMQCnnU+9C59OAQudTa+bxi+KkZeuwPOqFb1gwedVksJDc4sdpTCR5KYeLxiSn4h8bybErAL/oCHKLHcvVmeN/8fg+9IuJLJH/id4H8fKi1TMPkTRvMSmL/nZP0tVARYeXdnGtOtUYM7VwiIvVyvItginjuqfsdOu6Bo6msIeBUGPMBue8X4F7xPk1q4h0OMk2lgM9RORsZ3ygiJzjvE8n1BjzE3Afjm5viMhZxpi/jTETgRSgYfENGmOmGmM6G2MqtRPwphkL+XbYZL4dNpndC9bSdEh3AGLanUHe0WyyXVR0mg3vSYOerfj9wQ+r/Tc8GVu249+gHn5xsYi3N5H9e3N4WdHRxA4v+5voQf0BCG7ZDFtmFvmHjp/0Iwf0JnXBIrfmXRZ7Zv3GkmseZ8k1j3Nw4SoaXOK4SA5rfTbWjGxyi30wA6Ss2kTdAY5+yg0H9yZxkaMi8/tl4/j90vv4/dL7SFiwgo3PT6uWlRyAnO1b8KnbEO+YuuDtTXDP88lcuaxIjHdULHGPPEPi65PJj99Xypaql60z/2DOFU8z54qn2btgDWde5vhfjGp7JvkZ2WSnuP7SQVUfR7dsJ6BhXfzqxiDe3kSf35NDxc43h5auIObCvgDUaXUOtoxM8lMPY/H3wyvAHwCLvx9hXdqTubPkSHvViUlchYSdDSGNweKD5ZwR2HcWG50qMLbgqcR2BrFUu0oOwO5ZvxUMHpBQ6Hwa3vps8ks5n6YWO58edJ5P/SKP308X1upMsEi1qeQAHN28g8CGdfF3Hqcx5/cgZcnKIjEpS1YRd1FfAEJaNcWWmUVeapr7ky2n9C07CGhQqIwDepK6tGgZU5euJK7Q/6I1I6vgy4ZzHruLrD0H2P/lHHen7lEVHYyg8LWq8zG12Evsp+g1bgMgvowxZVn3lJ1WLTpOXwNvAJMLzZsMvA6sd1Z2dgOl3nFpjEkWkdHATBHxc84eDxwFfhARfxw103HOZS+JSFPnvAXAusoqzKnYt2gDDXu35qpfnykYXvqYQR/cw5Lxn5KVfISeT44iI/4QQ2Y6BrzYNX81a96tpkMv2uzsfv19mr/8lGN46Z/mk717LzGXXQhA0uxfSFu+irBunWk/Yyr23Fz+e/6NgtUtfn6Edm7Prlfe8VQJyiRp6VpierSn3w+vYsvJY92kDwqWnfvGQ6yb/CG5KWlseXMmHZ+9h2Z3juDI1j3s+36h55IuL7uN5A9fpd6TryIWC+kLfiRv3y5CBjm66qb/+gPhV47Gq04o0bc5uosYm439D93iyaxPyYHFG2jQuw3Dfn4Wa04ey8b/X8GyAe/dy58Tp5GdfITmowbQ+qZBBESFctl3k9i/eAN/PfmJBzMvvwfv/4YVK/aQdjiLfr1f4+57+nLFiJN9p1TN2Oz89+qHtH71SbB4kfjjfLJ27SNuyCAADv7wK4f/+ofw7p3o9OX72HNy2f7smwD4RITR8lnnIEJeXiT/tpi0v9d4qiRlY2zYFo7D+/I5juGlN30ChzZjaeP4X7Nv+AjL2UOxtL0V7FaMNQfbz9d7OOmTS1q6ltge7RngPJ+uKXQ+7frGQ6x1nk83vTmTTs/eQwvn+XSv83xad8C5NBl+PsZmw5abzz+Pve2hkrhmbHa2vfIR7V8fj1gsxM/9ncxd+6k31HFfWPx380j9czWR53Wk+6y3seXmsnnKuwXrt3rqPsI6tsInrA7n/fABuz76koQ5v3uqOK7Z7Ox47SPavDoR8bJwcO4Csnbto+7ljjImfD+PQ3/9Q0T3jpz71buO4aWfdeynkLbNibuoLxk7dtNp2isA7PpgOof+Wu2x4riLveqHl14JNBWRM4ADOHo3XVMsZjZwt4h8gaNr2hFjTIKIJJdh3VMmZeq3qdxKRMzU5rd6Oo0qNWbLh/zVu+aP3nMi3RfPZU7HCv+PVmuXrp7B9st7eDqNKtP0+2VMa3mzp9OoUqM3/Q+rqd5dVCvKW65lSY8K39NarfVa9gN5r/t7Oo0q5XtfDj/U4nPqkNUzWNDtCk+nUaUGLP+GhecN9XQaVarPsm+r7Y/V/HLu1RW66L9wxRcnLZuIXIyj8cAL+NgY84yI3A5gjHnf2aDwNnAhkAXcaIxZVdq6FckXTs8WHaWUUkoppU4rbhiMAOftGz8Vm/d+oecGuKus61aUVnSUUkoppZSq5So6GEFNpBUdpZRSSimlajl3tOhUN1rRUUoppZRSqpazezoBDzgdh5dWSimllFJK1XLaoqOUUkoppVQtp13XlFJKKaWUUrWODkaglFJKKaWUqnVM1f9gaLWj9+gopZRSSimlah1t0VFKKaWUUqqW065rSimllFJKqVrHbjydgfuJMadhqas5EdGdopRSSilVw5hqPLTZl+1GV+j68qp106pt2UqjLTrVVNq9TTydQpUKe2M3bYJGejqNKrUhcyZZkyI9nUaVCpyUSub2wZ5Oo8oENZ3LiNB7PJ1GlZp15C2W9Bji6TSqVK9lP2A1n3s6jSrlLdcy79wRnk6jSg1cMYs9V3bxdBpVpvFXKzn6aF1Pp1Gl6jyfwA8dr/F0Gqet07Hrmg5GoJRSSimllKp1tEVHKaWUUkqpWu50vFtFKzpKKaWUUkrVcvbT8Hd0tKKjlFJKKaVULVeNx0moMnqPjlJKKaWUUqrW0RYdpZRSSimlarnTcdQ1regopZRSSilVy52GYxFoRUcppZRSSqnaTlt0ajARyTDGBFfCdvoCDxpjat2vIHo3743/sCdBLOQv/5LcBe+7jPNq2Jagcd+S9ck9WNf97OYsK+6Rl66n18D25GTnMeG299m8bneJmGnzJhIY7A9ARHQoG1f9x30jX3VzpuVjOas/Phc+CxYLttWfY132pss4qdcBv5t/Ie/rW7BvnuPmLCtm2apMXpqahN0Olw8M5aYrI4osP5ppY/zLB0lIzsdmg+uHhTPkglAPZVs+N75wBR0uaEludh7v3jmdXev2l4i5891RtOxxNlnp2QC8c+d09mw44O5UyyysawfOvPcWxGIhce5v7P/82xIxZ957C+HdO2HPyWXbs2+SuW0nAJ1nTcWWlY2x2zE2G+tuedDd6VfYE4/NZtHCbUREBjF77h2eTueUNLv/RqLO64AtJ5d/J7/L0a27SsT4142m7ZT78AkNJn3LLjZOegtjtZW6vl9MJK0n3YVvRBgYw/7v57Pvy+r3meLfrhvhox8Ai4XM338g/YdPiywP7DmIkMuuB8DkZHPofy+Qv2e7J1ItF69z+uI3eDJYLOSvnEn+orddxlkatCPgjrnkzLwd28Yf3Zxl+bR+6Hpie7TDlpPHmkkfcGTL7hIxgfWi6fTc3fiEBHNky25WT3gXY7UR2akF5756P1kHkgFI+GMl2z78zs0lcC+7pxPwgFpT0VEnIRb8hz9N5nvXYdIOEnz/D+RvnI89cUfJuEsfwbplsWfyrKCeA9vT+Kw4Bre7n7Zdzmb86zcxqt/EEnGjBz5d8PzV6ffxx9x/3Jlm+YkFn4tfIO+z4Zj0ePxu/Q3b1l8wKdtKxp0/Eft/v3smzwqw2QzPv5fEe1PqExvlw6hxe+jTLYizGvkVxHw1N40zG/ryxpP1OXTEytAxu7m4bwg+PjXj26oOF7Qk7sxoxnacTNPOTbjllSt54nzXFe3PJvzA37PXujfB8rBYOOv+29g47knyklJp/9FLpC5dQfbu4xW48G6d8G9Yl3+uvoM6rc7h7AdvZ92YhwuWbxg7HuuRo57IvlIMHdaOUdd24dFHvvd0Kqck6rwOBDaMY9nwsYS2bkqLh29hxc1PlIhreve17PniRxJ/+5MWj9xK/cv6s//b30pd39hsbHvjM45u3YVXoD9dP3meQyvWk7mrGlXWxUL4TQ+T9Mzd2FKTiHvuE7JWLcF64HhFz5oUT+JTt2Myj+LfvjsRtz5G4vibPJj0KRALfpc9S/b/rsakJxBw109YN/+KSdpeIs73wiewbV/okTTLI6ZHO4IaxrHg8gcIb302bR+7kSU3PFkirsXYq/lv+s/Ez1tO28duovHlfdn99QIAUtdsZcV9L7s7deVGtW7UNXF4SUQ2isgGEbnKOb+viMwtFPe2iIx2Pr9QRLaIyFJgWKGYSSLysYgsFJGdIjK20LJrRWSFiKwVkQ9ExMv5mFbotcc5Y8eKyCYRWS8iX7jrvSjMq3E77Cl7MKn7wJZP/po5+LS5oEScb+8byF//CyYj1QNZVly/wZ2YM3MJAOtX7qBOaCBRsWGlxgcG+3Nu71b8PneVmzKsGEv9jphDuzBpe8Cej+3f7/BqflGJOK9zb8W2eQ4mM8UDWVbMxm05NKznQ4O6vvj4CIN6h7BweWbRIBEys+0YY8jONoTW8cLLyzP5lkfni9uw+IsVAGxftZug0ADCYkM8nFXF1GnRlJz9CeTGJ2KsVpLnLyWyZ9ciMRG9ziXpl4UAHP13G17BQfhEhnsg26rRuUtjQkMDPJ3GKYvu3ZmEnx1fbh3ZuB3vOkH4RoaViIvo3Iqk35cDEP/jQqL7dDnh+nmpaQUtQ7asHDJ3H8AvOqLEdj3J9+xWWBP3Y0uKB5uVrD/nEdild5GYvG0bMJmOCnju9o14RcZ4ItVysTTsgD11N+bwXrDlY133A94tBpWI8znvJmwbf8Jk1JzPjLg+ndj/o+Pz/vDGHfgEB+IXFVYiLqpLKxIWOM63++YuJq5vZ3emWa0YIxV61ES1rqKDo6LSHmgHnA+8JCJ1SwsWEX/gQ+BSoBcQVyykOTAIOBd4UkR8RKQFcBXQwxjTHrABo5yvW98Y09oY0wb4P+c2HgU6GGPaArdXQhlPmYTGYQ4nFEzb0w4ioXHFYmLxaTOIvGXT3Z1epYmpG87B/YcKphPjDxFTr/QLqQGXduHvRRvJPJrtjvQqrk5dTHp8waRJj0fqFDu868Th1fwSbKumuTe3SpKUaiU26nhjc2yUN8mp+UVirh4cxq59eQy8bicj7trNQ2OisVhqzkk4om4oKQfSCqZT49OIqOu6693ICZfw0rJHuOHZoXj7Vt9GeN/oCHKTjl8k5San4lvsotYvKoK8QjF5San4RTljjKH1q5No/79XiL1soFtyVg5+0RHkJB7fLzlJqfgX23c+oXWwHs3C2OzOmEMFMWVZ379uNHXOOYMj/xbrReBhXhHR2FITC6atqUl4hUeXGh/c7zJy1v7ljtQqhYTEYY4U/sxIQELrlojxbnkR+X9/Wnz1as0/JoLsxONfymYnHcI/uujnvW9YMNajmQXHbfGYiDZn02fms3R982HqnFnfPYl7kN1IhR41UfX91Cy/nsBMY4wNSBSRRUAXIL2U+ObALmPMdgAR+RwYU2j5j8aYXCBXRJKAWGAA0AlYKSIAAUASMAc4U0TeAn4E5jm3sR6YLiLfA9+7SkJExhR73Urm4gA1RcffCBg6kZw5z4Opub04nfujCHOCYUYuGtGdbz/5owozqmQuyld8HBXfQc+QP/+pmrsfXe6vouX+c3Umzc70Y+pzDdiXkM8d4/fToXUAwYE1o1mnrMfpjKfmkJaYjrevN7e9cRVD7jufb178xQ0ZloOrY7N4mVyV2/l3/R2Pkpd6GJ+wUFq/PonsPftJX7ep0tNULrjcL8V23ok+Qk6yvleAH+2ef4Btr03DllnNvlRyeU51za9VJ4L7X0bixCr8qK50J//s9xv8FLm/PFPjPjNcfxyWOOmUuv6RLbv5bfC92LJzienRji6v3M/vQx+o1ByrGx11rXYo7ai2UrQFy7/Q8xPt+9xCz2043jMBPjHGPFbixUXa4WgBugu4ErgJuAToDVwGTBCRVsYYa+H1jDFTganObVT6sWiOJCDhx7/FsYTFYdITi8R4NWxD4A1vOcoRFI53i75k261YN/xW2elUqqvGXMAVo/sB8O8/O4lrcPybxNh6ESQnHP7/9u47Popya+D476SQEHoqHRQQpUgHKSII9oqC2H2vXsu1d7H3fr12vZZr79hAsYAoRVABAem9CQRSIBBI35z3j5mEVFo2mWRyvnz2k52ZZ3bPw87OzjNPK3O/RtH16dKrHTee92yVxBkUOzcjDZsXLkrD5mj6lmJJpHl36ox8w3keFU1oh+Hk5OeRv7z6dQIuS3xsGFtT9nw9tqbkERdT/FQ1ftJO/jGqCSJC6+Z1aJEQzrq/c+jSsfo2Gzrhn0cz7JL+AKyeu4HYFo1Z7m6Lad6Y7Vt2lNonbatzfyYvJ49fPvyD0649tqrCPWA5SalExMcWLkfExZCTsq1YmuzkVOoUSVMnfk+anFTne5qbtoPUaX/QoFMHK+hUopYjT6DlGcMA2LFkNZEJseAekZHxMWQnFz9v5qalE9YgCgkNQQP5RMZHk+1+dtlJqeXuL6GhHPnELST+MJ2kKbOqJnMHIJCaRGhMQuFyWEw8ge3JpdKFt25P9BV3k/zEjeTvKv1dra6cGpyivxnN0J3FfzNCWnQj8rxXne1R0YR2HEZ2foDAkup3U6XtqONoM8L5vU9bsoa6CTGF2+rGR5OVklYsfU5aOmEN6hUet3Xjo8lyj828IoXupBl/ETImlDqN65OTtqvyM+KRmlorUxF+bLo2DRjt9peJwylgzALWA51EJEJEGuHUygAsAw4RkXbu8nn78R6TgZEiEg8gItEi0kZEYoEQVf0CuBfoKSIhQCtV/QW4HWgMVHh0uAMV2LCA0Ni2SHRLCA0nvMdp5C76qVia9IcHk/7Q0aQ/dDS5f31P5uf3VftCDsCnr0/inAF3cc6Au/j52zmcdt7RABzZpz3pOzNJ2ZpW5n7Hj+jHtB/mkZOdW+b26ih/0zwk5lCkcWsICSe08wgCy4v/GGW/0Ivs53uS/XxPAku+IWfC7TWmkAPQ+bBINmzKZdOWXHJzlR+n7WRIv3rF0jSND2PWXxkApG7PY92mHFo0reNFuPvtxzenc/vRT3H70U8xa8ICBp/bF4AOvduSsTOrsFBTVNF+O31OOZK/lyaWSlNdpC9bSd1WzYhoFo+EhRE3fBDbZhS/sN326yziTxwCQIPOhxHYtZvc1O2EREYQWte59xQSGUHjPt3ZvWZDVWehVtn4+Y/8ftHt/H7R7SRPm0Wzk5x+KY26dCBvVwY5qWml9tn+52Lijz0KgOanDCF5mtO3MXn6nHL373TPVexet4kNH1fPUbxyVi8hvGkrQuOaQ2gYUQOOJ3PO9GJpQmMSiL3lSVJfvp+8xJp1XOZvnE9I7CFIk1YQGk5YtzMILJ1YLE3G00eR8VQ/Mp7qR96ib8ked2e1LOQArBs7iann38XU8+8iccocWp7i/N436dKe3F2ZZJco6ACkzllCs2HO+bbVqYPZMtUZfCgiZk9z4cadD4UQ8XUhp7byY43OV0B/4C+cmprbVXULgIh8htOMbCUwD0BVs9xmYxNEJAX4FeiytzdQ1SUicg8w0S3I5OLU4GQCb7vrAO4EQoEP3MKVAM+qaloQ87t/8gNkfnE/9a56zxli8o+x5G9ZSZ0B5wOQM/OjKg+pMkz/cT5Hn9CdCQueJSszm3uveq1w28tf3M4D17xO8pY0AE4c2Z+3nhnvUaQHSQPkfjeGOheOBQkhMP8jNHk5ob3+D4DAn+94Gl4whIUKd/wrjqvv3Uh+PpxxXEPatYlg7HdpAIw6uTGXnxvD/c9uYdTV61Dghv+Lo0mjmtFsDWDexCX0PK4zL8y7j5yMHF65Zk+/uDGfXclr13/M9i07uf6Ni2kYUx8E1i/cxOs3f+ph1PsQyGf1f96gy3/uh5BQtk74iYy1f9P0DKfj85ZxP7L9tz9p0r8XvT79L/lZ2ax8zBkaPTy6MZ0eG+O8TmgoyZOmkfbHPK9yctBuvfkLZs1aT9r2DIYOfpZrrxvC2aN6eB3WPqXMmEfsgJ4M/OIFAlk5LHn4lcJtPZ4dw5JHXyM7ZTsrX/qQro/cSPsrzyV9xVo2jf95r/s37taR5icfQ/rK9Rz1/lMArHr1Y1JmVqPPNj/AtreeJv6uF5zhpad8Q+7GNdQf7oxLtOunL2k08p+E1m9E9GV3AKCBAFvvusTLqPdffoDs8XdT99KPQELJnfMJ+UkrCOt7EQB5s973OMCDl/TrfBIGdmfYuP8UDi9doN/ztzH/4TfITkljyQsf0+ux6zji6lHsWL6eDV9PAaDZsL60HTkcDQQIZOfy551lD7vtJzWrcWJwiO6tA4PxhIho2g1tvQ6jUjV+fh1d6+1P5VnNtXD3x2Q8ELPvhDVY1AOp7F7puymnCtXr8C2jGl3ndRiVauyOF5k+8Ayvw6hUR88YR55+4HUYlSpMLmRi31Feh1Gpjp81lvXn9PE6jErT5rPZpI8pd+wkX2jwRCLjep7vdRiV6vQ/P6y27cNePOxfFbrov27Fq9U2b+XxY42OMcYYY4wxpojaWKPjxz46xhhjjDHGmFrOanSMMcYYY4zxuZo66WdFWI2OMcYYY4wxPpevFXtUlDtK8SQRWen+LTWju4i0EpFfRGSpiCwWkRuKbHtARDaJyHz3cfK+3tMKOsYYY4wxxvicVvARBGOAyaraAWeqljFlpMkDblHVI4CjgGtEpFOR7c+qanf38d2+3tAKOsYYY4wxxvhcvkqFHkFwBvCu+/xd4MySCVQ1UVXnus/TgaVAi4N9QyvoGGOMMcYYYypbgqomglOgAeL3llhE2gI9gD+KrL5WRBaIyFtlNX0ryQo6xhhjjDHG+Fx+BR8icoWIzCnyuKLke4jITyKyqIzHAU3YJiL1gS+AG1V1p7v6VaAd0B1IBJ7Z1+vYqGvGGGOMMcb4XEVHXVPV14HX95FmeHnbRGSriDRT1UQRaQYklZMuHKeQ86GqflnktbcWSfMG8O2+YrYaHWOMMcYYY3yuojU6QTAeuMR9fgkwrmQCERHgf8BSVf1PiW3NiiyOABbt6w1FNUjjKJigERH7UIwxxhhjahitxpPVPHrItRW6vrx77UsVypuIxACfAa2BDcAoVd0mIs2BN1X1ZBEZBEwHFrKnfHWXqn4nIu/jNFtTYB1wZUGfn/JY07Vq6n9H/NPrECrVZUvfZPHJQ70Oo1J1/u4XFp4wzOswKlXXHyez6MRjvQ6j0nT54Wf+27FUE2RfuWr56+Q8F+l1GJWqzo1ZTOw7yuswKtXxs8aSpx94HUalCpMLGdvtYq/DqDSj/nqPKQNGeB1GpRoy8yu+7zPa6zCMR1Q1FSh1YaSqm4GT3ee/AmUWqFT1ogN9TyvoGGOMMcYY43P5ZZcffM0KOsYYY4wxxvhcfi3sGGEFHWOMMcYYY3yuNnbLt1HXjDHGGGOMMb5jNTrGGGOMMcb4nPXRMcYYY4wxxvhObWy6ZgUdY4wxxhhjfC5Ik37WKFbQMcYYY4wxxudq46hrNhiBMcYYY4wxxndqbY2OiKwDeqtqSon1pwOdVPUJTwKrZP3uOpdWg7uSl5nD9LveJnXphlJpjnnqn8R2bkN+XoDkhWuZ8cAHaF7Ag2gPXL1efWh6xbVISAjbJ35H6tiPi21vOGQYsSPPBSA/K4vEl58le+0aL0I9aPV79aHZv66GkBC2//A9KZ99Umx7nZataHnLbUS2a8/Wd98m9YuxHkV68Or36kPTq66BkBDSfviOlLGl89ji5tuJbN+epHffqpF5HHD3aFoP7kJeVg5T7nyHlCV/l0pz7NOXEtelDfm5AZIWrmP6/R+Qn1czGh9Im+MIPebfIKHkL36H/Dn/Lr69xdGEnjYWdq4DIH/VOPJnPe5BpPun483/IHZADwJZ2Sx++BXSl68tlSayWRxHPnIj4Y3qs3PZWhY98GLhubOs/SPiY+jywDXUiW4Mqmz8+if+/vT7Ks7Zgbn7zvFMnbKC6Jh6jP/2X16Hc9C63X4BzQZ1Iy8rhzn3vUHasvWl0kQ1j+WoJ68mvFE90pauZ9bdr6F5AcLq16Xvo1cS1TQGCQtlxXvfs37cdA9yUb4m/XrQ/sZLkZAQEr/5ib8/+KpUmnY3XkZM/54EsrJZ/uhL7Fqxhoj4GA6/93rCo5uA5pM4bhKbxk7wIAf754hbLiF2QA/ys7JZ+NCr7Fy+rlSaus3j6PbIDYQ3rMfO5etYcP9LaF6AZicM5NCLTwcgLzObJU++SfrK0tdEflILK3SsRqckVR3v10JOy8FdaNQmns9PvJsZ97/PgPsvKDPd6m9/54tT7uWrMx4gLKIOHc8eVMWRHqSQEJr96wY23D+GVf/6B40GH0udVm2KJcnduoV1Y25izbWXk/Lx+zS/7haPgj1IISE0v+Y61t1zF6uuuIxGQ4YS0bp1sSSB9HQSX32ZlBp48Q84n+M117P+3jtZfeWlNBpyLBGti3+OgfR0Ev/7Uo0s4AC0cr+Ln5xwL9Pu+4BB5XwXV34zi09Pup+xpz9EWGQ4h4+sId9FCSF0yHPkfX0Gee/3IOSwURB9eKlkunkGeR8dRd5HR1XrQk7sgB5EtWrKjJHXs/SJ1zni9n+Wma7DtRey/pMJzBh5A3npu2lx+rF73V8DAVY8/z6/nXszsy67m1YjT6DeIS2qLF8HY8RZ3Xj9zbKP15qi6aAjadC6KT+cfjtzH36bnndfUma6rjeOZsUHP/Lj6XeQs3M3h4w4BoD2o4eRvmYzP42+l6n/fJxuN5+LhIVWZRb2LiSEDrdczsJbHmH2BTcQP/xootq2LJYkun9Polo2Y9boa1jx1H/pcOsVAGggn9UvvsucC65n3hVjaH7WSaX2rS5iB3QnqlUzpp99I4sef4NOd5T9vTzs2vNZ9/EEpo+8idz0XbQ8w/leZm5O5o+rHmLGBXew+n9f0vnOK6oyfE/kq1ToURNVi4KOiNQTkQki8peILBKR0SKyTkSeFJFZ7qO9mzZORL4QkdnuY2CR13jLXTdPRM5w14eKyL9FZKGILBCR64q89XUiMtfddrib/v9E5CX3+Tsi8oKIzBSRNSIyskjMt7nvtUBEHiwvH+76J0RkiZu2+G3NKtT62O6sGvc7AMkL1lCnQRR1YxuVSrdx2qLC58kL11KvaZMqi7Ei6h52ODmbN5G7JRHy8tgx7WcaHDWgWJrMpYvJ37ULgIzlSwiLifMi1INWt2NHshM3k7slEc3LY8fUKTToP7BYmsCONDJXLIdAzaiFK6no5+jk8ZdSn2NgRxpZK5ajeXkeRVkxbYd1Y4X7XUz6ay0RDesSFdewVLq/i3wXkxasqzHfRUnog+5Y7dTW5OeSv2IsIYee6nVYBy1ucG8Sv58GwI5FKwlrUI86MY1LpYvu3Zmkn53PdfOEKcQd02ev++ekphXWDAUysti9bhMRcdFVkKOD17tPGxo1qut1GBXSfEhP1n87A4BtC1cT3iCKyDJ+C+P7HMGmn2YDsP6bX2k+tCfgjFwVVi8SgLC6EeTs2I0Gqk9Na8Mj2pO5MZGszVvRvDySJv9KzNF9i6WJGdSXLT9MASB98Qr3mGxCTup2dq1wWjkEMrLIWL+RiLiYqs7CfkkY3JvN3xV8r1YR3iCKiDK+lzG9O7P15z8A2DxhGgnH9AYgbeEK8tJ3O88XrSQyvnp/94JBtWKPmqhaFHSAE4HNqtpNVbsAP7jrd6pqX+Al4Dl33fPAs6raBzgbeNNdfzfws7t+KPC0iNQDrgAOAXqo6pHAh0XeN0VVewKvAreWE1szYBBwKvAEgIgcD3QA+gLdgV4iMrisfIhINDAC6Oy+/yMH8x8UDFHxTdi9ZVvh8u6t24lKaFxuegkLpd3pR7Hx18VVEF3FhcXEkpuSVLicl5JC+F4KMk2OP5ldf/5RFaEFTXhMLLnJRfOYTHhM9fwROljhsbHkJicXLuemJBMWE+thRMFXL6ExuxOLfBe3pBGVUH4hJiQshA6nH8Xf02vGd5H6zSF9Y+Gi7toE9UvXVEjTfoSd/wehZ3wN0UdUYYAHJiIumqyte1o5ZyWlElmiQBLeqAF56RmFF7xZSdsK0+zP/pHN4mhw2CHsWLyqsrJhXHXjm5CxJbVwOXPrNurGF//+1Wlcn9win2fm1u2FaVZ/8hMNDmnOKZOe5/jPH2X+0x9Wq6vAOnExZCftyV92UmqpAnREXDTZSSnF0tQpmaZpHPU7HMLOxSsqN+CDFBEfTebWPfnMStpGRHzp72XRzzFr67Yybya0PH0oyb/Nr9R4q4P8Cj5qoupS0FkIDHdrcI5W1R3u+o+L/O3vPh8OvCQi84HxQEMRaQAcD4xx108BIoHWbvr/qmoegKruubqAL92/fwJty4nta1XNV9UlQIK77nj3MQ+YCxyOU/ApKx87gSzgTRE5C8go601E5AoRmSMic8r/b6oYKavWcS8n5wH3ns/WOSvZ+ufKygopuMrOYJlJo47sTuPjTyLp7TcqN6ZgKyuP1ef3tRL5LZNlfY7l53HQfeezZc5KtvxZUy6C950/TZ5P3tsdyfuoH/l/vUrYaZ9VUWwHoYzvnZY8JveW5X3sH1o3gm5P3MKKZ98hsDuzIpGa/bE/X78yz7VOooQBXdixfAMTjruBSaPvpceYiwpreKqF/fkp3Ev+AELqRtL50dtZ/cJbBDJq0DFZ8oPcj+ue6F6daHn6UFa89FHlxWU8Uy0GI1DVFSLSCzgZeFxEJhZsKprM/RsC9FfVYt88ERHgbFVdXsb68q4gst2/Acr/v8gu8lyK/H1cVV8rmbhkPlT1IRHpCwwDzgWuBY4tuZ+qvg687r5G0K7qjjhvCIeNGgxAysK11Gu6505GvYQmZCTtKHO/7lefRmR0AyZf/2qwQql0eSnJhMfGFy6HxcaSm5pSKl1E20Npfv2tbLhvDIH0nVUZYoXlpiQTHlc0j3Hkbkvdyx41T25KCuFxe2riwmPjyEut+XnsfP4QDh/l9LFJXriOes2igdUA1GvamIyktDL363XNqURGN2Didf+tokiDYNcmaLCnXb/UbwG7NxdPk5Ne+FTX/QhDn4fIGMiqHp91y5En0PKMYQDsWLKayIRYwPl5iYyPITt5e7H0uWnphDWIQkJD0EA+kfHRZKc499Wyk1LL3V9CQznyiVtI/GE6SVNmVU3maqF2o4dxyFlOH5tti9cS1TSGVJybeHUToskq8XnmbE8nvMjnWTehCZnJaQC0PeNolr/ldNDf/XcSuzcl0+CQ5mxfVD0GtslJSiUifk9Nf0R8TOGxWCA7KZWI+NhiaXJS9hyTnR+9jaSJ00iZWr1aPbQeeTwtz3QuoXYsWU3dhBjS3G2R8dFlfi+Lfo6RCdFkp+xJU799a7rcfSVzbnyC3B27qigX3qlGFY9VplrU6IhIcyBDVT8A/g30dDeNLvL3N/f5RJzCQsG+3d2nP+L0uRF3fY8i6a8SkTB3fTAaYf4IXCoi9d3XbCEi8WXlw03TSFW/A27EaepWZZZ+PIVxZz3EuLMeYv3k+bQ/4ygA4o48lJz0TDJTShd0Djt7EC0GdmLKrW/UqG9F5opl1GnRgvCEphAWRqPBx7Lrj9+KpQmLi6fV3Q+y6ZnHydm8sZxXqr4yly8normTRwkLo9ExQ0j/fabXYQVV5opl1CmWx6G+yOPij6bwxYhH+GLEI6ybPJ/D3O9ifLdDyEnPJCO5dKH78JEDaTmoE5NvebNGfRd16xykcXto2AZCwgk5bBT5a0qM3BSVUPhUEnqDhFSbQg7Axs9/5PeLbuf3i24nedosmp3k3DBq1KUDebsyyElNK7XP9j8XE3+s87k2P2UIydOcCvrk6XPK3b/TPVexe90mNnxcfUe28oPVn07mp9H38dPo+9j8y1zanOr0bYzu2o7cXZlklfFbmDxnKS2GO/2s2pw2iM1T5gKQkbiN+H6dAIiIbkiDts3YvTGp1P5e2blsFXVbNiOyWTwSFkb8sEGk/jq7WJrUX2fT9MQhADTofJh7TDoFgMPuvIaM9ZvY+Ok3VR36Pm34fCIzLxzDzAvHkDR1Ds1PLvhetSd3VwbZZXwvt/25hIRj+wHQ/JTBbJ3qfC8jE2Lo8eTNLLj/ZTI2JFZZHrxUG5uuVYsaHaArTp+afCAX+BfwORAhIn/gFMjOc9NeD7wsIgtw4p8GXAU8jNOPZ4Fb2FmH06/mTeAwd30u8AZOn5+DpqoTReQI4De3XLULuBBoX0Y+GgDjRCQSpybopoq8d0VsnLaQVoO7MvKHR8nLymH63e8Ubjvuv9fz673vkpm8gwH3X8iuzamc+vGdAKyfNJf5r37rUdQHID+fLa++SOuHn0RCQkmb9D3ZG9bR5KTTANj+/TfEnXcRoQ0b0uzqGwBn1KO1N9agIVLz89n8you0ffQJdwjtH8hev54mJzsdvbd/9y1hTZrQ7oVXCImKAlVizzyLlVdeRn5Gma0mq5/8fBJffZE2jzyJhIawfeL3ZG8oncdDX3jVyWO+EnPm2ay68tIak8cNUxfRenBXzp34iDO89F3vFm476bVrmXrv+2Qk7eDoBy4gffM2zvzkDgDWTprH3FdqwAWxBghMuYmwM79xhpde8i5sW0pIV2dUpPyFbxLSfgQhR14O+XloXhaB7y/2OOjypcyYR+yAngz84gUCWTksefiVwm09nh3DkkdfIztlOytf+pCuj9xI+yvPJX3FWjaN/3mv+zfu1pHmJx9D+sr1HPX+UwCsevVjUmbOq/pM7qdbb/6CWbPWk7Y9g6GDn+Xa64Zw9qge+96xGtky/S+aDjqSE795mkBWNnPuf7Nw28CXbubPB98iKzmNhc99Rr8nr6bLNWeTtnw9675yOr4vfWMcfR66nOPGPgIiLHzuM3LSqlFtQCCfVc++Sdf/3IeEhrDl28lkrP2bZmceD0Di1xPZ9tufRPfvSd/PXnGGl37MuSxqeOThND1pCLtWraPXO88AsPa1D9n221zPslOe5BnziB3QncFfPk8gK5uFD++p9e717B0sevR1slO2s/zFj+j26PV0uGo06SvWsXH8LwC0++fZ1GlUn053XAo41wO/XXK3J3mpKrVxwlDRanqXsLx5bmoDEdH/HVH2MIl+cdnSN1l88lCvw6hUnb/7hYUnDPM6jErV9cfJLDqxVEtM3+jyw8/8t6O/hxy9avnr5DxXjfoXVII6N2Yxse8or8OoVMfPGkuefuB1GJUqTC5kbLfqWyCuqFF/vceUASO8DqNSDZn5Fd/3Gb3vhDXYibM+qbbjMF/f7IYKXfS/kPh8tc1beapLjY4xxhhjjDGmklTPqo3KVW0LOqra1usYjDHGGGOM8YPa2HSt2hZ0jDHGGGOMMcFRTXurVCor6BhjjDHGGONzNXXktIqoFsNLG2OMMcYYY0wwWY2OMcYYY4wxPmd9dIwxxhhjjDG+UwvLOVbQMcYYY4wxxu+sRscYY4wxxhjjO7Vx1DUbjMAYY4wxxhjjO6K1sXhXzYmIfSjGGGOMMTWMqorXMZTn/2JvqND15Tspz1fbvJXHmq5VU7OGnOx1CJWq75Tv+He7f3kdRqW6dfWr/NL/LK/DqFRDf/uS9ef08TqMStPms9l81PX/vA6jUp2/8B3G9Tzf6zAq1RlzP/L1cQrOsTq228Veh1GpRv31Hnn6gddhVJowuZCFJwzzOoxK1fXHyXzX+1yvw6i1rI+OMcYYY4wxxndqYTnH+ugYY4wxxhhj/MdqdIwxxhhjjPE5r5uuiUg08CnQFlgHnKOq28tItw5IBwJAnqr2PpD9i7IaHWOMMcYYY3xOtWKPIBgDTFbVDsBkd7k8Q1W1e0Eh5yD2B6ygY4wxxhhjjO/lV/ARBGcA77rP3wXOrOz9raBjjDHGGGOMz+WrVughIleIyJwijysOMIQEVU0EcP/Gl5NOgYki8meJ99jf/QtZHx1jjDHGGGPMXqnq68Dre0sjIj8BTcvYdPcBvNVAVd0sIvHAJBFZpqrTDmD/QlbQMcYYY4wxxueqYiwCVR1e3jYR2SoizVQ1UUSaAUnlvMZm92+SiHwF9AWmAfu1f1G1tqAjIo2B81X1Fa9jqUwN+/Si9bVXIKEhJE+YyJaPx5ZK0/q6K2nUrzf5WdmsffJZMlauBiBh5JnEnXI8qkrmmvWsffJZNDe3qrNwwIbeO4pDhnQmLzOXH+54j6TFf5dKc/Iz/0dC1zbk5wXY8tc6Jt37Efl5QWqBWgmi+3Wn/Y2XIqEhJH4zmQ3vf1UqTfubLiWmf08CWTkse+RFdq1YS0R8DIffez11YhpDvrJ5/CQ2fTah6jNwgCK7HUWT/7sFQkLY/fM4do57r9j2qEEn0PB0Z3JEzcpk2/+eJHf9Si9CPWg97zif5kcfSSArh9/v/R/bl64vlabDucPoeOFxNGidwBeDryMnbZcHkR6YLrddTMLAbgSycpj3wGvsWLauVJqo5nH0evxawhvWZ8eydcy99xU0L0BMryPo+5+bydiUDEDiL7NZ8UbpY7268PNx2u32C2g2qBt5WTnMue8N0paVPj6jmsdy1JNXE96oHmlL1zPr7tfQvABh9evS99EriWoag4SFsuK971k/broHuTg4d985nqlTVhAdU4/x39b8ia3r9+pDs39dDSEhbP/he1I++6TY9jotW9HyltuIbNeere++TeoXpa8TqqsjbrmEuIHdCWTlsPDBV9m5fF2pNHWbx9H90esJb1iPncvX8dd9L6N5AeIH96LDVeeA5qN5+Sz9z3ts/2t51WeiCnk96howHrgEeML9O65kAhGpB4Soarr7/Hjgof3dv6Ta3EenMXC110FUqpAQ2tzwL1aOuZ9F//cvYoYNJrJNq2JJGvXrTUSL5iy88HLWPfMibW66BoDw2BgSzjqNxVfeyOJLr0FCQ4g+9hgvcnFADjmmM03axvPWsAeYdM+HDH+w7BmYl46fzdvHP8i7Jz9CWGQ4Xc8ZWMWRHoCQEDrcejkLbnmUWeffSPzwQUS1bVksSXT/ntRt2Yw/zrmWFU++ymG3OU1aNRBg9YvvMPv8G5h7xRhanHViqX2rHQmhyaW3k/T4DSTePJqogScQ1uKQYknykjaz9cGr2HL7Bez48n9EX36nR8EenGaDjqRBmwS+PXUMsx56h973XFRmupT5K/nliqfZtSmliiM8OPEDu1GvVVMmn3kLfz3yP4688x9lpjvi+nNZ/eH3/DziFnJ37qbNmUMKt6XOW87U8+9i6vl3VetCjp+P06aDjqRB66b8cPrtzH34bXrefUmZ6breOJoVH/zIj6ffQc7O3RwywvmNaD96GOlrNvPT6HuZ+s/H6XbzuUhYaFVmoUJGnNWN19+8wOswgiMkhObXXMe6e+5i1RWX0WjIUCJaty6WJJCeTuKrL5NSgwo4AHEDulOvdVOmnXUTix97g85jLiszXcdrz2fdR98x7eybyd25m1ZnDAUgdfYiZpx/BzMuuJOFD79Gl3sur8rwPaEV/BcETwDHichK4Dh3GRFpLiLfuWkSgF9F5C9gFjBBVX/Y2/57U5sLOk8A7URkvog8LSK3ichsEVkgIg8CiEhbEVkmIm+KyCIR+VBEhovIDBFZKSJ93XQPiMj7IvKzu/5yd724r71IRBaKyOiqzGC9ww8je/NmshO3oHl5bPt5Gk0GHlUsTeOBR5E68WcAdi9dTmi9eoRHNwFAQkMJiagDISGERESQm5paleEflHbDj2TJV38AkDh/HRENo6gX17BUurVTFxc+T1ywnvpNm1RZjAeqYaf2ZG7cQtbmrWheHkk//Urs0X2KpYk9ug9bf5gKwM7FKwmrX486MY3JSU1j14q1AAQysshYv5GIuOgqz8OBqNO+M3lbNxJI2gyBPDJmTiSqz+BiaXJWLER3pwOQvXIRoTH77I9YrbQc2oN138wEIHXBGuo0iCIytlGpdNuXbWD35ur/vSvQ9JhebJzg3LnfvmgV4fWjiIhtXCpdbJ/OJE6eBcDf306j6ZDepdJUd34+TpsP6cn6b2cAsG3hasLLOT7j+xzBpp9mA7D+m19pPrQn4AxDG1YvEoCwuhHk7NiNBqpvjXlJvfu0oVGjul6HERR1O3YkO3EzuVsS0bw8dkydQoP+xW/sBXakkbliOQQCHkV5cOKP6cUm93yTtmgVYQ2iiIhpXCpdTJ/ObPnZuS7YNGEa8cc455tAZnZhmtC6EVXTrstj+VqxR0WpaqqqDlPVDu7fbe76zap6svt8jap2cx+dVfXRfe2/N7W5oDMGWK2q3YFJQAecNoDdgV4iUvCL1R54HjgSOBw4HxgE3ArcVeT1jgROAfoD94lIc+As9/W6AcOBp902hVWiTmwMOUl77gTnJKcQHhtTRprkwuXcFCdNbkoqWz77km6fvkP3Lz4gsHs3O+fMq6rQD1r9hMakJ+6ZOyp9y3bqJzQuN31IWAidzuzLummLy03jtYi4aLK37vkcs5O3EREXs480qaXSRDaNo36HQ9i5uHo3nQmNjiOQurVwOS81idAmceWmrz/0dLLm/1YVoQVN3fjG7N6y5/ycsXU7UfHVt7C9vyLjo8ncuqdglpm0jci44vmq07g+eel7LnxLponu2p5jPn6Mfi/cToNDW1RN4AfBz8dp3fgmZGwp8jlu3Ubd+NKfY256xp7Pcev2wjSrP/mJBoc055RJz3P8548y/+kPgzYJhzkw4TGx5Cbv6caQl5JMeEzMXvaoOSLjoskqcr7JStpGRHzxG3nhjRqQW+R8k5WUSmSRNAlDenP02H/T69nbWfjwa1UTuKlStbmgU9Tx7mMeMBenQNPB3bZWVReqaj6wGGeiIgUW4szMWmCcqmaqagrwC06haRDwsaoGVHUrMBUofiu+MomUXlfyt6asNEBo/fo0HnAUC867lL9GXkRIZCQxw4cGP8YgkzLyo3v5gR324LlsnLWKTXNWV2ZYFbQfedpHvkPrRtL5sdtY9fzbBDIygx5hUJVzTJYlonMv6h97OmkfvlSJAVWCAzxOa4oyP7pS+Sr/892xbB2TTr2BqefdxdpPf6TPMzcHNb6g8vNxWtZPx/78driJEgZ0YcfyDUw47gYmjb6XHmMuKqzhMVVsf64Daqq9HIN7S1I0zdYpc5g+6lbm3vYMHa4aFeQAq59qMI9Olau1gxGUIMDjqlqsOC8ibYHsIqvyiyznU/z/r+SpQ9nbL3rJAJxxwg90PPK9yklOoU58bOFynbjYUs3PnDR77kKGx8aSm5JKw17dyd6ylbwdOwHYPn0m9bscQepPvwQzxKDofuHgwj42Wxaup0GzPXceGzRtwu6kHWXu1/+6k4mKbsC4e/Y6UqLnspNTiUjY8zlGxEWTk1K8tjY7qWSamMI0EhpK58duY+vE6aRM/aNqgq6AQGoSoTEJhcthMfEEtieXShfeuj3RV9xN8hM3kr+r7M+4Oukw+ljane30YUhdvJZ6TaMpqIOLSmhCZnKaZ7FVRNtRx9FmhHMTJG3JGuom7LlbXDc+mqyUtGLpc9LSCWtQDwkNQQP5TppkpxY2b/eeQnjSjL8IGRNKncb1q+UgDH47TtuNHsYhZznH57bFa4lqGkMqTu1v3YQ9n1GBnO3phDeI2vM5FjmG255xNMvfcgY92f13Ers3JdPgkOZsX7Sm6jJkAMhNSSY8bk+TybDYOHK31ZzmsCW1HnUcrc48FoAdS9YQWeR8ExkfTXbJ4zQtnfAi55vI+JhSxzLA9nnLiGqR4NQA7Uiv3Ex4yA831A5Uba7RSQcauM9/BC4VkfoAItLCHbv7QJwhIpEiEgMMAWbjDIU3WkRCRSQOGIzTsaoUVX1dVXuratAaq+9etoKIFi2o0zQBCQsj+tjBbJ9Z/EI3beYfxBzvnDTqHdGRwO7d5G7bTk5SMvU7dSQkIgKAhj27kbm+9Ohl1cH8D6bx/umP8/7pj7Nq0gI6jegHQLPubclOz2R38s5S+3Q9ZwBtj+7EhBvfqvZNKtKXrqJuy2ZENotHwsKIHz6IlF/nFEuT8utsEk50LlIadu5A3u4MclLTAOh419VkrNvIxk++qerQD0rO6iWEN21FaFxzCA0jasDxZM4pPmJTaEwCsbc8SerL95OXuMGjSA/Myk9/5odz7ueHc+5n089zaXvaAABijjyU3PRMslKq70Xw3qwbO6lw8IDEKXNoecrRADTp0p7cXZlklyjoAKTOWUKzYX0BaHXqYLZM/ROAiJg9/UAadz4UQqRaFnLAf8fp6k8n89Po+/hp9H1s/mUubU51bh5Fd21H7q6yj8/kOUtpMdxppNDmtEFsnjIXgIzEbcT36wRARHRDGrRtxu6N+xwF1lSCzOXLiWjegvCEpkhYGI2OGUL67zO9DuugbRg7iRkX3MmMC+5k65Q5tHDPN427tCdvVwbZ7u9eUalzFtP0WOe6oMUpg0ma5pxvolruuVHRsGNbQsLDfF3IAavRqVVUNdUdVGAR8D3wEfCb2/RpF3AhcCA982YBE4DWwMPuREdf4fTZ+Qunhud2Vd0SxGzsXX4+G154lY5PPQwhIaR8P4msdRuIO+0kAJK/+Z4dv8+mUb/edP3gTfKzneGlwRmYYNvUGXR6/Xk0ECBj5RqSv/2+ykI/WGunLOLQIZ257OcHyc3M4cc73i/cNuLNq5l414fsTtrB8IfOY+fmbZw39lYAVk6cz+8vVc/8aSCflf95kyOfvdcZXvrbn8lY+zfNzzwegM1fT2TbzLnE9O9Jv7EvE8jKZvmjLwPQ6MjDaXrSEHatWk/vd/4NwJrXPmLbb3M9y88+5QfY9tbTxN/1gjNs75RvyN24hvrDzwJg109f0mjkPwmt34joy+4AnNHltt5V9shQ1dHm6QtodvSRnDrhSQJZOfxx7/8Ktx3z8k3MeuBtMpPTOOz84Rzxj5OIjGnESZ8/ROKvC5n1wNseRr53Sb/OJ2Fgd4aN+0/h8NIF+j1/G/MffoPslDSWvPAxvR67jiOuHsWO5evZ8PUUAJoN60vbkcPRQIBAdi5/3lmNm3r5+DjdMv0vmg46khO/eZpAVjZz7n+zcNvAl27mzwffIis5jYXPfUa/J6+myzVnk7Z8Peu+cubzW/rGOPo8dDnHjX0ERFj43GfVtsBalltv/oJZs9aTtj2DoYOf5drrhnD2qB5eh3Vw8vPZ/MqLtH30CSQkhO0TfyB7/XqanHwqANu/+5awJk1o98IrhERFgSqxZ57FyisvIz8jw+Pg9y55xjziBnbnmK+eI5CVzYKH9pxvej13O4seeYPslO0sf+ljuj96HR3+dQ47l69j4zinZUrTY/vS/JTBaF4egawc5t/1gldZMZVIamM1VrCJyAPALlX9d5BeT2cNOTkYL1Vt9Z3yHf9uV/PnJ9ibW1e/yi/9z/I6jEo19LcvWX9O1XU7q2ptPpvNR13/z+swKtX5C99hXM/zvQ6jUp0x9yNfH6fgHKtju13sdRiVatRf75GnH3gdRqUJkwtZeMIwr8OoVF1/nMx3vcue9sEvTpr98f534KtiJ9e/pkIX/d/terna5q08tbZGxxhjjDHGmNqipjY/qwgr6ASBqj7gdQzGGGOMMcaUJ78WtuKygo4xxhhjjDE+p74ZW3z/1eZR14wxxhhjjDE+ZTU6xhhjjDHG+Jz10THGGGOMMcb4Tn4tbLpmBR1jjDHGGGN8zgYjMMYYY4wxxviODUZgjDHGGGOMMT5gNTrGGGOMMcb4nPXRMcYYY4wxxvhObSzoiNbCjknVnYjYh2KMMcYYU8OoqngdQ3n6R11WoevL3zL+V23zVh6r0ammZh59mtchVKoB07/hrlbXeR1GpXrs7xfJfa2O12FUqvArc8i4L9brMCpN1EMp3Nva38fpwxteZPJRZ3sdRqUa9vsXpI9p5nUYlarBE4lMGTDC6zAq1ZCZX7HwhGFeh1Fpuv44mTz9wOswKlWYXMjbnS7zOgxTi1hBxxhjjDHGGJ+rjU3XrKBjjDHGGGOMz+VLvtchVDkr6BhjjDHGGONzVqNjjDHGGGOM8R2l9tXo2IShxhhjjDHGGN+xGh1jjDHGGGN8zpquGWOMMcYYY3zHBiMwxhhjjDHG+E5+LeyjYwWdIkRkl6rW9zqOYGrctydtr/8nEhLK1gkT2fzhF6XStL3+cpoc1ZtAdjarH3+O3SvWABBavx7tbr+WqEPaoCirn3iBXYuXV3UWDtgpD55Nx6GdyM3M4YtbPmTzoo2l0ox46jxaHNkaEUhZm8wXN39ATkaOB9EeuOlr6/LEL9EEFM7usovL++0otn3W35Fc93U8LRrlATC8w26u7r+jrJeqtkLaH0v4SY+ChBKY+wF5v75QZjpp3p2Iy38gZ+zl5C/5poqjrJiTHzibDu5x+tWtH5JYxnF6xlPn0aJraxBIXZvMV7dU7+M0+qjudLjxH0hoCInjJ7P+/a9Lpelw06XEDOhBflYOSx5+iV0r1gJw+N1XEzugFznbdzDrwpurOPKDE3rYECJOfRhCQsid/TG5U18qM11Iy27U/de3ZH18FYFFE6o4ygPXpF8P2t94KRISQuI3P/H3B1+VStPuxsuI6d+TQFY2yx99iV0r1hARH8Ph915PeHQT0HwSx01i09jqn9/6vfrQ7F9XQ0gI23/4npTPPim2vU7LVrS85TYi27Vn67tvk/rFWI8iDZ677xzP1CkriI6px/hv/+V1OEHR987zaDm4K3mZOfx691tsW7qhVJrDzx9Kp4uOo2HreD4eeCPZabs8iNRUJRuMwM9CQjjkpitZetuDzL/4GmKHDaZum1bFkjQ+qheRLZsz7/wrWfP0yxxy854TXtvrLyftj7nMv+hqFvzjBjLXl74Qq24OG9qJ2LZx/Gfww3w95lNOf/ScMtN999BXvHTik7x4wpOkbdrOUf83uIojPTiBfHh0cjT/PWsr4/9vE98tr8eq1PBS6Xq1zOLLizfz5cWba1whBwkh/JQnyPngXLJfHkho1xFI3GFlpzvuPvJX/VL1MVZQh6GdiDkkjuePeZjxd37KaY+UfZz+8NBXvHLSk7xy4pPs2LydfpdU4+M0JISOt/yTv25+lD/Ou4n44wYR1bZlsSQx/XsQ1aoZv4+6jmVP/JeOt19RuG3LhF+Yf9MjVR31wZMQIk5/jMy3LyDj2SGEdTsDie9QZro6J95NYOWUKg/xoISE0OGWy1l4yyPMvuAG4ocfXepzjO7fk6iWzZg1+hpWPPVfOtzqfI4ayGf1i+8y54LrmXfFGJqfdVKpfaudkBCaX3Md6+65i1VXXEajIUOJaN26WJJAejqJr75Mig8KOAVGnNWN19+8wOswgqbF0V1p2CaeL0+6i98eeI/+911YZrqkuauYeNkz7NqUUsURVg/5FfxXE/m6oCMiT4rI1UWWHxCR+0VksojMFZGFInJGOfveJiKzRWSBiDzormsrIktF5A0RWSwiE0WkrrutvYj8JCJ/ua/drrzXqSr1j+hA1qZEshO3onl5pEyeTpNB/YqliR7Uj+QfnQvFXUuWE1a/HuExTQiNqkvDbp1JmjAJAM3LI7Brd1WGf1COOL4r876YBcDf89YR2bAuDeIblkqXvSur8Hl4ZDhaQ/rnLdwSQavGebRqnEedUDi5425+WRXldVhBFdKiJ7ptHbp9PQRyCSz6mtDDTyqVLrTf5QSWfovurnk/WIcf15X57nG60T1O6+/jOA2LqN7HacNO7cnYuIWszUloXh5JP80gbnCfYmliB/dhy/dTANi5eCVh9aOoE9MYgLT5S8nbWXPuroa06kF+6jp0+wYI5JL31zjCjjihVLrwAZcSWPQduqtmHKcNj2hP5sZEsjY7vxtJk38l5ui+xdLEDOrLlh+mAJC+eAVhDepRJ6YJOanb2eW2CAhkZJGxfiMRcTFVnYUDUrdjR7ITN5O7JRHNy2PH1Ck06D+wWJrAjjQyVyyHQMCjKIOvd582NGpU1+swgqb1sd1ZPf43AJIXrKFOgyjqxjYqlW7bsr/ZtTm1qsOrNpT8Cj1qIl8XdIBPgNFFls8B3gZGqGpPYCjwjIhI0Z1E5HigA9AX6A70EpGCW6kdgJdVtTOQBpztrv/QXd8NGAAk7uN1Kl2d2Biyk/b8uOYkp5T60akTG0NOUnKRNKnUiY0honlT8tJ20O7OGzjyzec49PZrCYmMqKrQD1rDpo3YkZhWuLxzSxoNm5Y+2QGc9e/zufPPR4hrl8Dvb0+toggrZuuuUJo1yCtcTmiQx9ZdoaXSzd8cwYj3mnPlF/GsSild41OtNWyG7thUuKg7NiMNmhVP06ApoUecTGD2O1UbW5A0bNqIHZvTCpd3bkmjYULZx+mZT5/P7XMeIa59An+8U32P04i46GLnm+ykVCLiokukiSFr656LjOzkbdX+Qrg80rApumNz4bLuTEQaNSuVJqzTSeT+8V5Vh3fQ6sTFkJ1U5DMq83Ms/VnXKZmmaRz1OxzCzsUrKjfgCgqPiSU3OalwOS8lmfCYmnlM1mZR8Y3ZvWVb4fLurduJSmjsXUDVVL7kV+hRE/m6oKOq84B4EWkuIt2A7UAi8JiILAB+AloACSV2Pd59zAPmAofjFFgA1qrqfPf5n0BbEWkAtFDVr9z3zVLVjH28TjEicoWIzBGRORXPeeGLllqlJW8Jl04CqkhoKPU6tGPr19+z4J83kp+VRYsLRgYttMoiZWSovLvgX976EU/0uZfkVVvoelrPSo4sSMrIS8kcd4rPZtLlG/nq4s1c0COd68bFV0lowVPmQVlsqc5Jj5I76SHQmnnilTK/m2Wn/fq2j3i6r3OcdqnOx+n+nG/KUp2rqfaqjOO0RF4iTn2Q7B8erVnH6b6/fmV+1kXzHlI3ks6P3s7qF94ikJEZ1PCCrsy8VH0YpoLsc9wvtbHpWm0YjOBzYCTQFKeG5wIgDuilqrkisg6ILLGPAI+r6mvFVoq0BbKLrAoAdSn7p6Hc1ymLqr4OvO6+T1C+njnJKUTExxYu14mLJSdlW4k0qdSJjwOWumliyEndBqpkJ6ewa6lzNy51ykxaXHA21VG/i4+mz3n9Adi4YAONmjUu3NawaWPSt5bfR0XzlQXfzOPoq45l7tg/KjvUCktoECAxfc/Xdmt6GPH1izenqB+x5/AZfGgmD08WtmeE0CSqhpykdm5GGrUoXJRGzdH0LcWSSPNu1Bn5uvM8KobQDsPIyc8jf9n3VRrqgeh78dH0Otc5Tjct2ECj5o0LtzVs2pj0pL0fp4u+mcfAK49lXjU9TrOTUoudbyLiY8hJ2V48TXIqkQkxFOQ0Ii6a7BLnpJrCqcFpXrgsDZuhO4sfpyEtuhF53qvO9qhoQjsOIzs/QGDJD1Ua64HISUolIn5PjUZEfEypz2hvn7WEhtL50dtImjiNlKnV81gtKjclmfC4PTeDwmLjyN1We5s21SSHnzeUw0YeDUDKonXUa7qnVrFeQhMyktI8isyUR0SigU+BtsA64BxV3V4iTUc3TYFDgftU9TkReQC4HChoinSXqn63t/f0dY2O6xPgXJzCzudAIyDJLeQMBdqUsc+PwKUiUh9ARFqISLm3xVV1J7BRRM5000eISNSBvk6w7Vq2ksiWzYloloCEhRE77Gi2zyj+w7Pt11nEnTAUgPqdOhLYnUFu6nZyt6WRk5RCZCvngrNRr25krvu7qkI/IH+8N52XTnqKl056iqU/LqDH2U578lY92pKdnkV60s5S+0S32fMjffjwziSv2lpl8VZEl6bZbEgLY+OOMHIC8N3yegxtl1EsTfLu0MKbqwsS65Cv0LhuDSnkAPmb5yHRhyCNW0NoOKFdziSwrPiFYfZzvcl+rhfZz/UisOQbcibcUa0LOQCz3pvOqyc/xasnP8WyiQvo7h6nLXu0JSs9i137OE47Du9Myurqe5ymL11FVKtmRDaLR8LCiB8+kJTps4ulSZk+h6YnDQGgYecOBHZnkJOaVvXBBkH+xvmExB6CNGkFoeGEdTuDwNKJxdJkPH0UGU/1I+OpfuQt+pbscXdW60IOwM5lq6jbssjnOGwQqb8W/xxTf51N0xOHANCg82Hk7cogJ9W5VjnszmvIWL+JjZ/WjFEQM5cvJ6J5C8ITmiJhYTQ6Zgjpv8/0OiyzH5Z9/Avjz36I8Wc/xIbJ82h3unMjKe7IQ8nZlUlmSg0biKcKKIEKPYJgDDBZVTsAk93l4jGqLlfV7qraHegFZABFh358tmD7vgo5UAtqdFR1sdu0bJOqJorIh8A3bhOx+cCyMvaZKCJHAL+5TUx2ARfCXj/li4DXROQhIBcYtZfXSSr/ZYIokM/a517jiH8/gISEkPTdT2Su+5uE008EYOv4H0j7fQ5N+veix8evkZ+dzarH9wzju/b51+lw781IeDjZm7ew6vHnqyTsilj+8xIOG9qZm6ffR25mDl/e+mHhtovfuZKv7viYXUnpjHz2QiLqRyICiUs2M/7uzzyMev+FhcDdx27jii8SyM+HEV120T42l0//agDA6G7pTFwRxad/NSA0BCLDlH+fklxmrX61lR8g97s7qXPRZxASQmDex2jyckJ7XwJAYM67HgdYcSt+XkKHoZ25cdp9hcNLF7jwnSsZd/vH7EpO56z/OMcpAluWbubbanycaiCfFc+8Sffn7kFCQtj87c/sXruR5iOOB2DzVxNJnTmXmAE96T/2JQLZ2Sx95JXC/Ts/eCONe3YmvHEDBox7jbVvfkriNz97lZ19yw+QPf5u6l76EUgouXM+IT9pBWF9LwIgb9b7Hgd4kAL5rHr2Tbr+5z4kNIQt304mY+3fNDvT+RwTv57Itt/+JLp/T/p+9oozvPRjzrDaDY88nKYnDWHXqnX0eucZANa+9iHbfpvrWXb2KT+fza+8SNtHn0BCQtg+8Qey16+nycmnArD9u28Ja9KEdi+8QkhUFKgSe+ZZrLzyMvIzMvbx4tXXrTd/waxZ60nbnsHQwc9y7XVDOHtUD6/DOmgbpy2kxeCunPX9YwSycvj1nrcLtw1/9QZm3PcOmck7OOKCYXS59ATqxjbijK8eYOO0hcy8v+b/puyvatD87AxgiPv8XWAKcMde0g8DVqvq+oN9Q9mvNtSmSomIzjz6NK/DqFQDpn/DXa2u8zqMSvXY3y+S+1odr8OoVOFX5pBxX+y+E9ZQUQ+lcG9rfx+nD294kclHVc9mqcEy7PcvSB/TbN8Ja7AGTyQyZcAIr8OoVENmfsXCE4Z5HUal6frjZPL0A6/DqFRhciFvd7rM6zAq1f8tfrPa3lps2+CkCl30r9/1w5XAFUVWve52vdgvIpKmqo2LLG9X1SZ7Sf8WMFdVX3KXHwD+D9gJzAFuKdn0rSTf1+gYY4wxxhhT21W0+VnR/uTlEZGfcPrFl3T3gbyXiNQBTgfuLLL6VeBhnKEmHgaeAS7d2+tYQccYY4wxxhhTYao6vLxtIrJVRJq5XUmasfeuHCfh1OYUdk4t+lxE3gC+3Vc8tWEwAmOMMcYYY2q1ajC89HjgEvf5JcC4vaQ9D/i46Aq3cFRgBLBoX29oNTrGGGOMMcb4nHo/GMETwGcichmwARgFICLNgTdV9WR3OQo4DriyxP5PiUh3nKZr68rYXooVdIwxxhhjjPG5/OAMEX3QVDUVZyS1kus3AycXWc4AYspId9GBvqc1XTPGGGOMMcb4jtXoGGOMMcYY43PVoOlalbOCjjHGGGOMMT6Xr942XfOCFXSMMcYYY4zxOavRMcYYY4wxxvhORScMrYlEVb2OwZQgIvahGGOMMcbUMKoqXsdQnrj6fSp0fZm8a3a1zVt5rEanmvqp30ivQ6hUw//4nMlHne11GJVq2O9f8F7nS70Oo1JdvPgtvut9rtdhVJqT53zC78ec4nUYleqoqROYMmCE12FUqiEzv2Jcz/O9DqNSnTH3I77vM9rrMCrVSbM/9f355u1Ol3kdRqX6x5L/kacfeB1GrZWv1nTNGGOMMcYY4zPWR8cYY4wxxhjjO2qjrhljjDHGGGP8Jr8W1uiEeB2AMcYYY4wxxgSb1egYY4wxxhjjc2qDERhjjDHGGGP8pjbOo2MFHWOMMcYYY3yuNtboWB8dY4wxxhhjjO9YjY4xxhhjjDE+Z/Po+JCIPADsUtV/V/B1GgPnq+or7nJz4AVVHVnhIIMs+qjuHHbTP5CQEDaPn8z6978uleawm/9BTP+eBLKzWfrwy6QvX7vXfdtfexGxg3qRn5dH5satLH3kZfJ2ZVRhrsoXfVR3Otz4DyQ0hMRy8tvhpkuJGdCD/Kwcljz8ErtWOPk9/O6riR3Qi5ztO5h14c1VHPnB63PneTQ/uiuBrBxm3v0W25ZuKJWm43nHcvhFw2nYOoHPBt1AdtouDyLdf0fccglxA7sTyMph4YOvsnP5ulJp6jaPo/uj1xPesB47l6/jr/teRvMCxA/uRYerzgHNR/PyWfqf99j+1/Kqz8ReNOrbkzbXXoGEhpA0YSKJH31eKk2b666g8VG9yc/KZvUTz5GxcjUATUeeQdwpxwOQsWYda558Ds3JrdL490eTfj1of+OlSEgIid/8xN8ffFUqTbsbL3POPVnZLH/0JXatWENEfAyH33s94dFNQPNJHDeJTWMneJCD/dPltotJGNiNQFYO8x54jR3L1pVKE9U8jl6PX0t4w/rsWLaOufe+guYFiOl1BH3/czMZm5IBSPxlNiveKP3/5LUjbrmE2AE9yM/KZuFD5X8fuz1yQ+H3ccH9L6F5AZqdMJBDLz4dgLzMbJY8+SbpK0ufo7zk9/NNSX3vPI+Wg7uSl5nDr+X8Zhx+/lA6XXQcDVvH8/HAG6v9b8a+3H3neKZOWUF0TD3Gf/svr8OpFmrjPDrWdK0IEdlbwa8xcHXBgqpuro6FHEJC6HjrZcy/6VF+P+8mEo4fSL22LYslienfg7qtmvHbqOtY9vhrdLz98n3uu23WX/xxwc3MuvBWMv7eTJtLRlR1zsoWEkLHW/7JXzc/yh/n3UT8cYOIKiO/Ua2a8fuo61j2xH/pePsVhdu2TPiF+Tc9UtVRV0jzo7vSoHUC406+i98feI9+915UZrqkeav46Z/PsGtTShVHeODiBnSnXuumTDvrJhY/9gadx1xWZrqO157Puo++Y9rZN5O7czetzhgKQOrsRcw4/w5mXHAnCx9+jS73XF6V4e9bSAhtb/gXy++4nwWXXE3MscdQt02rYkka9etNZMvm/HXBFax95iUOuck53YTHxpBw9mksuvImFv7jGiQkhJhjB3uRi70LCaHDLZez8JZHmH3BDcQPP7rUdzG6f0+iWjZj1uhrWPHUf+lwq/Nd1EA+q198lzkXXM+8K8bQ/KyTSu1bXcQP7Ea9Vk2ZfOYt/PXI/zjyzn+Ume6I689l9Yff8/OIW8jduZs2Zw4p3JY6bzlTz7+LqeffVS0LObEDuhPVqhnTz76RRY+/Qac7/llmusOuPZ91H09g+sibyE3fRcszjgUgc3Myf1z1EDMuuIPV//uSzndeUeb+XvH9+aaEFkd3pWGbeL486S5+e+A9+t93YZnpkuauYuJlNeM3Y3+MOKsbr795gddhVCuq+RV61ES+LOiIyN0islxEfgI6uuumiEhv93msiKxzn/+fiIwVkW+AiSJSX0Qmi8hcEVkoIme4L/sE0E5E5ovI0yLSVkQWua8RKSJvu+nnicjQIq/9pYj8ICIrReSpys57w07tydy4hazNSWheHlsnzSB2cO9iaeIG92HLd1MB2Ll4JWH161EnpvFe9902awEacA7ynYtWEhkfU9lZ2S8NO7Uno0jMST/NIG5wn2JpYgf3Ycv3U4CC/EZRJ6YxAGnzl5K3s2bdtWo1tDtrxs8EIGXBGsIbRFE3tlGpdNuXbWD35tSqDu+gxB/Ti00TpgOQtmgVYQ2iiHA/o6Ji+nRmy89/ALBpwjTij3GOz0BmdmGa0LoRoJUf84Gof/hhZG1KJDtxK5qXx7afp9Fk4FHF0jQZ2I+UH38GYNeS5YTWr+fUcAASGkpIRB0IDSEkMoLclG1Vnod9aXhEezI3JpK12clj0uRfiTm6b7E0MYP6suWHKQCkL15BWIN61IlpQk7qdnatWANAICOLjPUbiYirHueYkpoe04uN7rG6fdEqwutHERHbuFS62D6dSZw8C4C/v51G0yG9S6WprhIG92bzd9MA2LFoFeHlfR97d2ar+33cPGEaCe73MW3hCvLSdzvPF60kMj66agLfT34/35TU+tjurB7/GwDJC9ZQp5zfjG3L/mZXDfnN2B+9+7ShUaO6XodRrSj5FXrURL5ruiYivYBzgR44+ZsL/LmP3foDR6rqNrdWZ4Sq7hSRWOB3ERkPjAG6qGp3933aFtn/GgBV7Soih+MUmA5zt3V3Y8kGlovIi6r6d8VzWrbIuGiykvacqLKTttGwc4diaSJKpUklIi56v/YFaHbaUJJ+mlkJ0R+4iLhospP23H3KTkotI78xZG0tkq/kbUTExZCTmlZVYQZVVEITdm/Zc6GbsXU7dRMak5myw8OoKiYyLrrYZ5SVtI2I+Giyi3xG4Y0akJu+u7DAnZWUWuwCKmFIbw675lzqNGnEnzdV+j2FA1InLoac5OTC5ZzkFOp16lgqTXZySpE0qdSJi2H38lUkfvoVPT57m/zsHHbMnseOOfOqLPb9VScuhuwS55Wyzj0lv6914qLJSd2+J03TOOp3OISdi1dUftAHITI+mswix2pm0jYi45qQnZJWuK5O4/rkFTlWC9IUiO7anmM+foys5DSWPPch6Ws2VVn8+yOiRB7L/z5m7Pk+bt1GRFzpAk3L04eS/Nv8yg75gPj9fFNSVHzjYr8Zu7duJ6qG/2YYs7/8WKNzNPCVqmao6k5g/H7sM0lVC84CAjwmIguAn4AWQMI+9h8EvA+gqsuA9UBBQWeyqu5Q1SxgCdCmrBcQkStEZI6IzNmPeMsnZa0scbtJykik+7dv2/87C83LZ8sP0w8uvmArIy+q+3F7bX/SVFflfX41WZl50n0mKZpm65Q5TB91K3Nve4YOV40KcoCVoNQxWPaxHFq/Hk0G9mP+uZcx7+yLCakbQcxxQ6okxANS5udTMs3eP+eQupF0fvR2Vr/wFoGMzKCGFyz7Og7dVOXuv2PZOiadegNTz7uLtZ/+SJ9nakjfwJJ53I//h+henWh5+lBWvPRR5cV1MGrb+caPvxnmoNTGpmu+q9FxlfUVzmNPwS6yxLbdRZ5fAMQBvVQ1123iVjJ9SeX/qjk1OQUClPN/rqqvA68DiMhBn4KykrYVa1YWER9NdnLxZi7ZSalExsewozBNDNkp25DwsL3u2/TkY4gd2Iu51z54sOEFXXZSKhHxsYXLEfEx5KRsL54mOZXIhCL5jYsmuxo2/dmbw84dSoeRTr+M1EXrqNc0moL6gaiEJmQmpXkW28FqPeo4Wp3ptOnfsWQNkQl7jr3I+Giyk4t/jjlp6YQ3qIeEhqCBfCLjY8gqkQZg+7xlRLVIcO7I7kiv3EzsJ6d2Jq5wuU5cbKnmZznJKUTExbKrME0MuSnbaNSrO9mJW8nbsROA7dN+o0HnI0idNKWKot8/OUmpRBQ7f8SU+p7t7fsqoaF0fvQ2kiZOI2XqH1UT9H5qO+o42oxw+mekLVlD3SLHat34aLKK1OaAc6yGFTlW68ZHFx6rebv3FOCSZvxFyJhQ6jSuT47HHb9bjzyeloXfx9XUTYghzd1W1vcxNy2d8AZRe76PCdFkFzn31m/fmi53X8mcG58gd4f3zYNr0/kG4PDzhnLYyKMBSHF/MwrUS2hCRg38zTAVV1Obn1WEH2t0pgEjRKSuiDQATnPXrwN6uc/3NohAIyDJLeQMZU8NTDrQYC/veQGA22StNeDJECzpS1cR1aoZkc3ikbAwEo4bSMr04pVEydPn0PTkYwBo2LkDebsyyElN2+u+0Ud1p+1FZ/LXbU+Sn51T5fkqT8mY44cPJGX67GJpUqbPoelJQwAnv4HdGTWu2dqKT35hwsgHmTDyQf7+eR6Hnj4AgNgjDyV3V0aNbIKwYewkZlxwJzMuuJOtU+bQ4hTnR7lxl/bk7coo1oykQOqcxTQ9th8ALU4ZTNI0p1VqVMs9la4NO7YlJDysWl107Fq+gsiWzYlomoCEhRF97GC2zyx+MZ828w9iT3AuxOp36khgdwa527aTnZRM/U4dCYmIAKBhz25krq+01q8HbeeyVdRtWeS7OGwQqb8W/y6m/jqbpicOAaBB58Pcc49z8XjYndeQsX4TGz/9pqpD36d1YycVDh6QOGUOLd1jtUmX9uTuyizWbK1A6pwlNBvm9FFqdepgtkx1jtWImD19Ixp3PhRCxPNCDsCGzycy88IxzLxwDElT59D8ZOfGSqMu7ckt5/u47c8lJLjfx+anDGbrVOf3IjIhhh5P3syC+18mY0NileVhb2rT+QZg2ce/MP7shxh/9kNsmDyPdqf3ByDuyEPJ2ZVZI38zTMWpBir0qIl8V6OjqnNF5FNgPk4TsoI2Vv8GPhORi4Cf9/ISHwLfuE3I5gPL3NdNFZEZ7gAE3wMvF9nnFeC/IrIQp+bo/1Q1W8qs+65cGshn+b//R4/n74aQEBK//YXdazfSYsRxAGz6ahKpM+cSO6AH/T9/0Rlu+ZGX97ovQMdbLiOkThg9XrgXgB2LVrD8qTeqPH8laSCfFc+8Sffn7nGGxP72Z3av3UjzEc5QvJu/mkjqzLnEDOhJ/7EvOcNpP/JK4f6dH7yRxj07E964AQPGvcbaNz8l8Zu9HR7e2zRtAS2O7sqZ3z9OXmYOM+99q3Dbsa/cwG/3v0tmchqHXzCMTv84kbqxjTj1ywfZNH0Bv9//roeRly95xjziBnbnmK+eI5CVzYKHXivc1uu521n0yBtkp2xn+Usf0/3R6+jwr3PYuXwdG8f9AkDTY/vS/JTBaF4egawc5t/1gldZKVsgn3XP/5eOTz+EhISQ/P0kMtdtIP70kwBIGv89ab/PoXG/3nT78A3ys7NZ8+RzAOxeuoJtU2fQ5Y3n0EA+GStXk/TtDx5mphyBfFY9+yZd/3MfEhrClm8nk7H2b5qd6XwXE7+eyLbf/iS6f0/6fvaKM7z0Yy8B0PDIw2l60hB2rVpHr3eeAWDtax+y7be5nmWnPEm/zidhYHeGjftP4fDSBfo9fxvzH36D7JQ0lrzwMb0eu44jrh7FjuXr2fD1FACaDetL25HD0UCAQHYuf975kkc5KV/yjHnEDujO4C+fJ5CVzcKH/1u4rdezd7Do0ded7+OLH9Ht0evpcNVo0lesY+N45/vY7p9nU6dRfTrdcSkAGgjw2yV3e5KXsvj+fFPCxmkLaTG4K2d9/xiBrBx+veftwm3DX72BGfe9Q2byDo64YBhdLj2BurGNOOOrB9g4bSEzq+lvxv649eYvmDVrPWnbMxg6+FmuvW4IZ4/q4XVYHqt9NTqyX/0ZTJUSEf2pX/UbuTqYhv/xOZOPOtvrMCrVsN+/4L3Ol3odRqW6ePFbfNf7XK/DqDQnz/mE3485xeswKtVRUycwZUA1GS6+kgyZ+RXjep7vdRiV6oy5H/F9n9Feh1GpTpr9qe/PN293Knuoa7/4x5L/kacfeB1GpQrlgqq/y72fwsNiKnTRn5uXWm3zVh7f1egYY4wxxhhjiqupAwpUhBV0jDHGGGOM8bnaOBiBFXSMMcYYY4zxvdpX0PHjqGvGGGOMMcaYWs5qdIwxxhhjjPE766NjjDHGGGOM8Zva2EfHmq4ZY4wxxhjje/kVfFSMiIwSkcUiki8ivfeS7kQRWS4iq0RkTJH10SIySURWun+b7Os9raBjjDHGGGOM36lW7FFxi4CzgGnlJRCRUOBl4CSgE3CeiHRyN48BJqtqB2Cyu7xXVtAxxhhjjDHGVCpVXaqqy/eRrC+wSlXXqGoO8AlwhrvtDOBd9/m7wJn7ek8r6BhjjDHGGONzWsF/VaQF8HeR5Y3uOoAEVU0EcP/G7+vFbDCCakhVpSrfT0SuUNXXq/I9q+zr4rI8Vo6L+F9Vvl2V51H5uKreqlDV57Hq+T2P3pxvPqzKt/Moj59U5dvZ+aYS/B9vVtVbFfLiWK2uVHMrdH0pIlcAVxRZ9XrJ/1sR+QloWsbud6vquP15mzLWHfRp3Gp0DBQ/aP3K8ugPlkd/8Hse/Z4/sDz6heXR7DdVfV1Vexd5lCpAqupwVe1SxmN/Cjng1OC0KrLcEtjsPt8qIs0A3L9J+3oxK+gYY4wxxhhjqoPZQAcROURE6gDnAuPdbeOBS9znlwD7LDxZQccYY4wxxhhTqURkhIhsBPoDE0TkR3d9cxH5DkBV84BrgR+BpcBnqrrYfYkngONEZCVwnLu8V9ZHxwDUhrarlkd/sDz6g9/z6Pf8geXRLyyPpsqo6lfAV2Ws3wycXGT5O+C7MtKlAsMO5D1FgzMutjHGGGOMMcZUG9Z0zRhjjDHGGOM7VtAxxhhjjDHG+I4VdIwxxhhjjDG+YwWdWkpEungdgzH7IiLXikgTr+OobCJST0RC3OeHicjpIhLudVyVRUSaiMiRXsdRWUQkREQaeh2HOXAikiAip7qPfc66XhOJyCAR+Yf7PE5EDvE6pmATkRYiMkBEBhc8vI7JeMMKOrXXf0VklohcLSKNvQ6mMojIUyLSUETCRWSyiKSIyIVexxVMIjJHRK7xcWGgKTBbRD4TkRNFpEKzOldj04BIEWkBTAb+AbzjaURBJiJT3O9jNPAX8LaI/MfruIJFRD5y81cPWAIsF5HbvI4rmPx+ThWRc4BZwCjgHOAPERnpbVTBJSL3A3cAd7qrwoEPvIso+ETkSWAGcA9wm/u41dOgjGesoFNLqeog4AKc2WfnuD/Sx3kcVrAdr6o7gVNxZto9DOeE5yfnAs1xCgOfiMgJfioMqOo9QAfgf8D/AStF5DERaedpYMEnqpoBnAW8qKojgE4exxRsjdzv41nA26raCxjucUzB1MnN35k4w6K2Bi7yNKLg8/s59W6gj6peoqoXA32Bez2OKdhGAKcDu6FwWN8GnkYUfGcCHVX1ZFU9zX2c7nVQxhtW0KnFVHUlzh2PO4BjgBdEZJmInOVtZEFT0PTnZOBjVd3mZTCVQVVXqerdOBccHwFvARtE5EH3znmNp84Y+FvcRx7QBPhcRJ7yNLDgEhHpj3PzYYK7zm/znIWJSDOcO+Xfeh1MJQh3mxueCYxT1VzAb/M3+P2cGqKqSUWWU/HfdVKOe05VcJrNehxPZVjDnmPV1HJ++yE1+8ltH/8P4BRgEnCaqs4VkebAb8CXXsYXJN+IyDIgE7haROKALI9jCroin+XJwBfAh8Ag4Gegu3eRVZyIXA9cAqQAbwK3qWqu259lJXC7l/EF0Y04TUm+UtXFInIo8Iu3IQXdQzgzXf+qqrPdPK70OKZgeg1Yh9Msb5qItAF2ehpR8Pn9nPqDO1P7x+7yaMqYtLCG+0xEXgMai8jlwKXAGx7HFGwZwHwRmQxkF6xU1eu9C8l4xSYMraVEZBrOye1zVc0sse0iVX3fm8iCy+27slNVAyISBTRU1S1exxUsIvInkIbTtOsLVc0usu1LVa3RtXMi8hDwP1VdX8a2I1R1qQdhVSq3EFffbSJkajARCVPVPK/jCKZacE49C+dGkQDT3JncfcVtpn48Th5/VNVJHocUVCJySVnrVfXdqo7FeM8KOrWUiNyoqs+VWHeDqj7vUUhBJyKjgB9UNV1E7gF6Ao+o6lyPQwsaETlUVdeUWHeIqq71KqZgKqf5XbrbLMg3ROQj4CogAPwJNAL+o6pPexpYELlNDR/BqQ34AegG3KiqvugILSI3AG8D6Ti1jz2AMao60dPAgqiWnFObAv2AfGC2nwpx4Pw+AImqmuUu1wUSVHWdp4EFmYjUwWnSDbDcb78ZZv/5re2p2X8Xl7Hu/6o6iEp2r/uDPAg4AXgXeNXjmILt8/1cV1PNBZKBFTjNnJKBtSIyV0R6eRpZcFlH9prvUjd/xwNxOM1Jn/A2pKDz9TlVRP6JM+raCGAk8LuIXOptVEE3FqcQVyDgrvMNERmC83vxMvAKsMKGl669rI9OLSMi5wHnA4eIyPgimxrgdLz0k4D79xTgVVUdJyIPeBhP0IjI4UBnoFGJwSMaApHeRFUpfsDpt/IjgIgcD5wIfIbzA9bPw9iCqWhH9pfcfkh+q24v1ZHdRwMEgtMMCJz8va2qf/lpBESXb8+prtuAHqqaCiAiMcBMnEFe/CJMVXMKFlQ1x6398JNncG6sLAdnbjKcfld+ujlm9pMVdGqfmUAiEItzMiiQDizwJKLKs8ntdDkceFJEIvBPLWZHnDvjjYHTiqxPBy73IqBK0ltVrypYUNWJIvKYqt7sfp5+YR3Za74/RWQicAhwp4g0oPidcz/w8zkVnJrG9CLL6cDfHsVSWZJF5HRVHQ8gImfgDPbiJ+EFhRwAVV0hPp6A2eyd9dExvuV2lD0RWKiqK92hbbv6rM18f1X9zes4Kot74TgZ+MRdNRo4Dudzna2qPb2KrbLVgo7s9YAGfukD4Q4i0R1Yo6ppbm1AC1X1zQ0kv59TReQ9oCswDmf45TNwmrKtAFDVGj/BrTsH2Yc4868JTkHuYlVd5WlgQSQib+F8fgWDKl2AU5P1D++iMl6xGp1aRkR+VdVBIpJO8TkeBGfKkoYehRZ0qpohIkk4I+isxJmDxRfD2YrI7ar6FHC+2xyxGB8No3k+cD/wtbv8q7suFGc+Fl8QkQTgMaC5qp4kIp2A/jij6fmCe5F8DU7/oytwLrQ64p85dRRnktdTcYbSroe/mpH6+pzqWu0+Coxz//pmQk1VXQ0cJSL1cW52p+9rnxroXzjnmutxR8/DaepsaiGr0TG+JSL3A71xZkg+zJ0jaKyqDvQ4tAoTkdNU9Rs/D6MpIqHAu6p6odexVDYR+R5nxK67VbWbiIQB81S1q8ehBY2IfIozotzFqtrFHe3pN1Xt7m1kwSEir+I0VTtWVY9wa68mqmofj0MLGj+fU2sLt7nh2UBbitzsVtWHvIrJmMpkNTq1kNvEYoGqdvE6lko2AmeI17kAqrrZbTdf46nqN+7fGl+gKY/bvClOROoU7TzrU7Gq+pmI3AmgqnkiEtjXTjVMO1UdXVADqaqZPuus309Ve4rIPABV3e7DTt6+PacCiEhv4G6gDcULAUd6FlTwjQN24Nx0yN5H2hpFRD5T1XNEZCHFW6wAvvsczX6ygk4tpKr5IvKXiLRW1Q1ex1OJclRVC0avcvsE+IKIfEMZJ/ICqnp6FYZTmdYBM9wRAncXrPRDW/kSdrt9OgqO1aNwLkb8JMetxSnIYzv8daGV69ZCFuQvDv8NRuDbc6rrQ5yR1xbiv8+uQEtVPdHrICrJDe7fUz2NwlQrVtCpvZoBi0VkFsUvIP1ygQzwmTtCUGMRuRy4FHjD45iC5d9eB1BFNruPEHzUTr4MNwPjgXYiMgNnHpaR3oYUdPfjDBfeSkQ+BAbir7m7XgC+AuJF5FGcz+8eb0MKOj+fUwGSC0Yj87GZItJVVRd6HUiwqWqi+/RqVb2j6DYReRK4o/Rexu+sj04tJSLHlLVeVadWdSyVSUSOw5nAT4AfVXWSxyGZgyAi9VR1975T1lxuv5yOOMeqL2fydmutjsLJ4++q6qthbd35rYbh5G+yqi71OKSg8/M5VUSGAefhjPRYWNuoql96FlSQicgSoD2wFiePBQMR+aZZl4jMLTkip4gs8FMezf6zgo4xNdBe2iL76kdLRApGHquvqq1FpBtwpape7XFoQSciAyjdQfg9zwKqBCLSgtL9H6Z5F1FwuU3XEiiePz83D/YVEfkAOBxYzJ6ma6qql3oXVXC5c3SVoqrrqzqWYBORfwFXA4dSfPS8BsCM2jCwjSnNCjq1lNsH4EXgCKAOznC9u/00vLSInAU8CcTjFAB8M4S2iDRT1UQ//2gBiMgfOE2AxqtqD3fdIr8NpCEi7wPtgPnsmX1efTRMeEHTkdGUvoj0RXNZEbkOp3neVpzP0Fc3HcDf51QAEVnop5EOyyMig4AOqvq225esvqqu9TquihKRRkAT4HFgTJFN6aq6zZuojNesoFNLicgc4FxgLM5woRfjnPju8jSwIBKRVcBpfmw+UpSINAX64tTszPbLBIzgFHRUtZ+IzCtS0PlLVbt5HVswichSoJP6+IQsIsuBI1XVTwMQFHLPN/1UNdXrWCqL38+pIvIG8KyqLvE6lspSm4YIF5F4isxlZbWrtVOI1wEY77gzIYeqakBV3waGeBxSsG316w9yARH5J87M3Wfh1Hz8LiK+aWYB/O026VIRqSMitwJ+/EwXAU29DqKSrQHCvQ6iEv2N/0bKK8nv59RBwHwRWS4iC0RkoYgs8DqoIBsBnI47CJGqbsZnA72IyGkishKnH9JUnNE7v/c0KOMZG3Wt9spw53iYLyJPAYk4M3n7yRx3ksKv8WnHUpyhUHsU3EV2O3vPBN7yNKrguQp4HmgBbAQm4sx47TexwBJ3FMSix6ovmnW5MnDONyU7evuled4aYIqITKB4/vw0FLrfz6l+HXa5KL8PEQ7wCM6gJz+pag8RGYozyISphaygU3tdhNMv51rgJqAVzmzJftIQ5+Lq+CLrFPDLjzI4F//pRZbTce4s+4I7KtcFXsdRBR7wOoAqMN59+NUG91HHffiRr8+pqrq+rP4rXscVZH4fIhwgV1VTRSREREJU9Re3j6CphayPjjE1kIjc7D7tDnTFme1agTOAWap6lUehBZV7oXE5pUcj81PzvFrDnTC0taou9zoWY0qqLf1X/DxEOICI/ASciTMoQSyQBPRR1QFexmW8YQWdWqaM4YiL8dkIQe8CN6hqmrvcBHjGDxfJ7g9yuVT1waqKpTKJyExgOvAne0YjQ1W/8CyoIBKRdMr+PvpqNCtw2s3jTHRbR1UPEZHuwEM1vXmeiHzD3s+pNTp/ACJyu6o+JSIvUkZe/dL8UETmAz2AuUUGP7H5V2oYtzleJk4/9AuARsCHfh4oxJTPmq7VPqd6HUAVOrKgkAOgqttFpIeH8QSNXwoy+yGq5AzXfqKqvuoEvA8P4IwOOAVAVeeLyCFeBhQk/3b/noUzoMQH7vJ5OJ2g/aBgAII5nkZR+Xzbf6W23FRx57Iap6rDcYaxf9fjkIzHrKBTy/hlfpX9FCIiTVR1O4CIROOzY95t2nU70Jniw2ge61lQwfWtiJysqt95HUhV8PlwqHmqukNEiq6r8U0KVHUqgIg8rKqDi2z6RkR8MRmqqn7j/vX7RaNv+6/UlpsqqhoQkQwRaaSqfh8F0ewHX130mf1X4u5OHZxhX301YSjwDDBTRD53l0cBj3oYT2X4EPgUp6buKuASINnTiILrBuBOEckBcvHZ3ccCInI6zvHaHKc9eRucu+idvYwryBaJyPlAqIh0AK7HGSHQL+JE5FBVXQPg1lbFeRxTUInIYcCtlO4z55cbK3HA58BOoCNwHzDc04gqic9vqmQBC0VkEu4w2uCfJpbmwFgfHQOAiJwJ9PXThKEAItIJOBbnAnmy3yaCE5E/VbVX0XbkIjJVVY/xOrZgEJGCNtaHqOpDItIaaKaqf3gcWlCJyF84x2mx4VBV9QqPQwsaEYkC7mbPiF0/Ao+oapZ3UQWPiJwIvI4zzDQ4hYErVfVHz4IKMvc4/S+l+8z96VlQQSQic1W1Z4l1vuqjU95NFVX1zU0VEbmkrPW1oEbSlMEKOqaQiPyuqkd5HUdFiUhDVd3pNlUrRVW3VXVMlaXgMxORH4EXgM3A56razuPQgkJEXsVpZ32sqh7hDigxUVX7eBxaUInIHFXt7V5I9lDVfBGZpap9vY4tWESkh6rO8zqOyiQiEcDh7uIyVc3eW/qapuDGitdxBJuI/Au4GjgUWF1kUwNghqpe6ElglaA23FQxpihrulZLichZRRZDcIbU9Eup9yOcplx/UjxP4i4f6kVQleQREWkE3AK8iDPPxU3ehhRU/VS1p4jMg8IBJfw4R0maiNQHpgEfikgSkOdxTMH2HxFpBowFPlHVxV4HFEwicnGJVd1EBFV9z5OAgqjITaNvRORq4CuKTxha028efQR8jzMc8Zgi69N9kLeSfD/HjIispezRAf3022/2k9Xo1FIi8naRxTyc0YHeUNUkbyIypjQR+QMYAMx2CzxxODU6vhg9r0A5w6F+4LeLLBFpCpwDjMYplH+qqo94G1VwuEMvF4gEhuEMUzzSo5CCpsiFo5SxWe0CsuYoMsfME0AMPpxjRkRiiixG4vTPjVbV+zwKyXjICjrGt0RksqoO29e6msztHPwqkKCqXUTkSOB0H108XoBzUdwTZ5jQkcA9qjrW08CCTESeLDmMdlnr/EJEuuKMFjhaVf1YQ4db0/q+H+bRMf4hIvcBbwGJwIXUkjlmRORXVR3kdRym6oV4HYDxhogcKiLfiEiyiCSJyDgR8cVdORGJdJtaxIpIExGJdh9tcTpg+skbwJ04I5KhqguAcz2NKIhU9UOcC+LHcX6Yz/RbIcd1XBnrTqryKCqRiBwhIg+IyCLgJZwR11p6HFZlygA6eB1EMInINSLSuMhyE7cpm6k5BGcgkClAfZxaVV8VckSkZ5FHbxG5Cqe/lamFrEanlhKR34GXgY/dVecC16lqP++iCg4RuQG4EadQs4k9zS124jTPe8mj0IJORGarah8RmVdkJu/5qtrd49DMfqhlnaB/xznfjFXVzV7HE2wi8g17+gWEAkcAn6nqmPL3qlnKOrcUPfeYmsOt/R8NnA1sdCfY9AUR+YU938WCpvn/VtUVngVlPGODEdReoqrvF1n+QESu9SyaIFLV54HnReQ6VX1xnzvUbCki0g73pC4iI3FqPkzNUGs6QfthRMd9+HeR53nAelXd6FUwlSRERETdO6TizELvy6aHtUASsAVIBeI9jiUoRORm9+m3FO9TpjgDFP3Hi7iMt6ygU3v9IiJjgE9wTgKjgQkFo+v45CJri4g0UNV0EbkHp5/HI6o61+vAguganLk7DheRTcBanHbXpgZwZ+7eAZznXjQm4JyX64tIfT9M4icin6nqOSKykDJGQfTLHCWqOlVEEoCCoc9XehlPJfkR+ExE/ovzWV4F/OBtSOZAuLXIo9kzOerlPppfrqB5Wkec7+E4nPPMaTgjWppayJqu1VLuKDrl8cUoOgUTvYnIIJw75v8G7vJD87yS3FG7QlQ13etYzIFza1MfALbizBsEPikEiEgzVU0UkTZlbVfV9VUdU2UQkXOAp3H6PghwNHCbqn7uZVzBJM4EvlfijCgnwETgTVUN7HVHU22IyBM4w7vP9zqWyiIiE4GzC34PRaQBTpPZE72NzHjBCjrGtwrajovI48BCVf3Ib+3JReQx4ClVTXOXmwC3qOo9ngZmDoiIrMKZM8hXnYJrE3cixuMKhuh3h0L/SVW7eRtZcIlIXaC1qi73OhZjyiIiy4BuBRP2uhP5/qWqh+99T+NHNupaLSUi4SJyvYh87j6uFZFwr+MKsk0i8hrOvB3fuSc7vx3zJxUUcsCZUBM42btwzEH6G6cJm++ISLqI7CzjkS4iO72OL4hCSsxDlorPzjcicjowH7e5moh0F5HxngZlTGnvA7PcUR7vB/7AmZ7A1EJWo1NLicibQDh7vvwXAQFV/ad3UQWXiEQBJ+LU5qwUZ1b2rqo60ePQgkZEFuBM9lZw56ouMEdVO3sbmTkQIvI/nHblEyg+47x1nq0hRORp4Ej2jGQ5Gljgp7mQRORP4FhgSpFRHhf4oYml8RcR6YnTfBRgmqrO8zIe4x0bjKD26lOiScXPbtMLP4kF5gCISGt33TLvwqkUHwCTReRtnM7Bl2J3rmqiDe6jDjaKVY2kqreJyNnAQJz+K6+r6lcehxVseaq6Q0T2ndIYD7mDDvlp4CFzkKygU3sFRKSdqq4GZwJRwG8dSiewZ4jJSOAQYDngm9oOVX3KHc2qoHPww6r6o8dhmQOkqg+CM6iEqu72Oh5zcFT1C+ALr+OoRItE5HwgVEQ6ANfjTPxqjDHVkjVdq6VEZBjwNrDGXdUW+Ieq/uJZUJXMrcq+UlWv9DoWY4oSkf7A/4D6qtpaRLrhHKs263w1JyLpFB82u3ATzsh5Das4pErjNge+GzjeXfUjzpD9Wd5FZYwx5bOCTi0lIpHALTg1AQCTgGf9/oMlInNVtafXcQSLiJwFPIkz4Zvgw4ur2kBE/gBGAuOL9H1YpKpdvI3MmNKs5tEYU1NY07Xa6z1gJ/Cwu3wezkglozyLKMiKzJIMzuhHPYFkj8KpLE8Bp6nqUq8DMRWjqn+X6Pvgt6akpoYTkQHAm0B9wGoejTHVnhV0aq+OJQYj+MWHgxE0KPI8D6fPjt/az2+1Qo4v/O1eRKqI1MHp+2Cfq6lungVOAMYDqOpfIjLY25CMMaZ8VtCpveaJyFGq+juAiPQDZngcU1AV6eDdwFnUXR6HVBnmiMinwNcUH5b4S88iMgfjKuB5oAWwEWfG+Ws8jciYMljNozGmJrGCTu3VD7hYRDa4y62Bpe4IXuqHeRFEpAtOc7xodzkFuERVF3kaWHA1BDLY0zkYnI7RVtCpQVQ1BbjA6ziM2QereTTG1Cg2GEEtJSJt9rZdVddXVSyVRURmAncXjCQnIkOAx1R1gJdxGVOSiBwCXIcz+mHhDShVPd2rmIwpSURicWoeh+P0e/wRuEFVUz0NzBhjymEFHeNbIvJXiX5IZa6rydzR8y7DmRsosmC9ql7qWVDmgLn94/4HLATyC9ar6lTPgjLGGGNquBCvAzCmEq0RkXtFpK37uAdY63VQQfY+0BSng/BUoCWQ7mlE5mBkqeoLqvqLqk4teHgdlDFFicihIvKNiCSLSJKIjHMnmzbGmGrJanSMb4lIE+BBYJC7ahrwoKpu9y6q4BKRearaQ0QWqOqRIhIO/Kiqx3odm9l/7mzzHXAGISg6qMRcz4IypgQR+R14GfjYXXUucJ2q9vMuKmOMKZ8NRmB8yy3QXO91HJUs1/2b5g6+sAWnn4epWboCFwHHsqfpmrrLxlQXoqrvF1n+QESu9SwaY4zZByvoGN8SkUnAKFVNc5ebAJ+o6gmeBhZcr7v5ugdnbov6wL3ehmQOwgjgUFXN8ToQY/biFxEZA3yCUxAfDUwQkWgAVd3mZXDGGFOSNV0zvlXQrGtf62oiEbm5rNXuX1XV/1RlPKZi3LmQrlPVJK9jMaY8IlK0j2PBxUPR84711zHGVCtWo2P8LF9EWqvqBgARacueH+earoH7tyPQB3emcuA0nL5IpmZJAJaJyGyK99Gx4aVNdXIH8IOq7hSRe4GewMPWl8wYU11ZjY7xLRE5EXgdZzQygMHAFar6o3dRBZeITATOVtV0d7kBMFZVT/Q2MnMgROSYstbbyGumOiky6Mkg4DHgGeAuG4zAGFNdWY2O8S1V/UFEegNXAPOBcUCmp0EFX2ugaL+OHGwwghrHCjSmhgi4f08B/quq40TkAQ/jMcaYvbKCjvEtEfkncAPO3DLzgaOA3/DXSFbvA7NE5CucZnkjgHe9DckcKBFJZ0+zyjpAOLBbVRt6F5UxpWwSkdeA4cCTIhKBzcdnjKnGrOma8S0RWYjTf+V3Ve0uIofjzKMz2uPQgkpEegJHu4vTVHWel/GYihORM4G+qnqX17EYU0BEooATgYWqulJEmgFdVXWix6EZY0yZrKBjfEtEZqtqHxGZD/RT1WwRma+q3T0OzZh9EpHfVfUor+Mwxhhjaiprumb8bKOINAa+BiaJyHZgs6cRGVMGETmryGII0Bv/jBBojDHGeMJqdEyt4I5q1QhnaFSblNFUKyLydpHFPGAd8IbNq2OMMcYcPKvRMbWCjWplqisRCQUWqOqzXsdijDHG+ImNlmKMMR5S1QBgE4MaY4wxQWZN14wxxmMi8ihO08pPgd0F623GeWOMMebgWUHHGGM8JiK/lLFaVdVPcz4ZY4wxVcoKOsYY4zEROVRV1+xrnTHGGGP2n/XRMcYY731exrqxVR6FMcYY4yM26poxxnhERA4HOgONSsyl0xCI9CYqY4wxxh+soGOMMd7pCJwKNAZOK7I+Hbjci4CMMcYYv7A+OsYY4zER6a+qv3kdhzHGGOMn1kfHGGO8N0JEGopIuIhMFpEUEbnQ66CMMcaYmswKOsYY473jVXUnTjO2jcBhwG3ehmSMMcbUbFbQMcYY74W7f08GPlbVbV4GY4wxxviBDUZgjDHe+0ZElgGZwNUiEgdkeRyTMcYYU6PZYATGGFMNiEgTYKeqBkQkCmioqlu8jssYY4ypqaxGxxhjqocjgLYiUvS8/J5XwRhjjDE1nRV0jDHGYyLyPtAOmA8E3NWKFXSMMcaYg2ZN14wxxmMishTopHZCNsYYY4LGRl0zxhjvLQKaeh2EMcYY4yfWdM0YY7wXCywRkVlAdsFKVT3du5CMMcaYms0KOsYY470HvA7AGGOM8Rvro2OMMcYYY4zxHavRMcYYj4jIr6o6SETScUZZK9wEqKo29Cg0Y4wxpsazGh1jjDHGGGOM79ioa8YYY4wxxhjfsYKOMcYYY4wxxnesoGOMMcYYY4zxHSvoGGOMMcYYY3zHCjrGGGOMMcYY3/l/eiXllmA+Bp8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1008x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "core_df = df_tracks.corr(method = 'pearson')\n",
    "plt.figure(figsize=(14,6))\n",
    "heatmap = sns.heatmap(core_df, annot = True, fmt = '.1g', vmin = -1, vmax = 1, center = 0, cmap = 'inferno', linewidths = 1, linecolor = 'Black')\n",
    "heatmap.set_title('Correlation HeatMap Between Variables')\n",
    "heatmap.set_xticklabels(heatmap.get_xticklabels(), rotation = 90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "a8a68eba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "930\n"
     ]
    }
   ],
   "source": [
    "#sample our data and make plots\n",
    "sample_df =  df_tracks.sample(int(0.004*len(df_tracks)))\n",
    "print(len(sample_df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "d7462fc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Loudness Vs Energy Correlation')]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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GuvuZaWKmoaGhoaHRp+gmTfnw+Di+lEx5Ht+s1fhGtcppz+P+cnnRbT84OspnDh7kUKmEEAIhBHcMDKxI+J8SyePVKrUooqZIVNkwGLHtrtOsfzI9zXu+/nV2felLfOTMGb5ndJSNts3VMMQ2DBzDYMr3ebXR4LxKXabUdNx1+eEtWxgyDIpAoMT/IbDZthmxLF66917+/Fu+hTcNDnI1CDjZaPByrcar9TqXfH/FEcOVQKcyNTQ0NDQ0+hTdpCkfHB3lfXNzfHRykjCOKSgS9NTUFPcOD2ckq1NKdCUpu9Ztzvg+fhRxKQwRQCq9vxiGlIKAsm13jEiFcUwtjvnj6WkePXUKWwgGhWCyXueVapWdrsuMipi1QgDvLpf56d272V0o8PnZWX738mUkYApBGMdc8Dxi12V/sciISl3eXy7zhdlZDPU5L4q4GEX8+BKkdi2hiZmGhoaGhkYbrFfroPx+Z8OQMIoYc93s/XZpymcqFfa4bpMNRTVXXdlN5Wavx9tumyfqdSwhECREx5ASSULQpsKQsm03jb+eq6D0FOH6+LlzzIUh1TgmzO2vUqsBCQnbbNtMBwECcIBhy+Jkvc7pRoMDAwM8dfEim0yTy2FIKCUxiX7uNc/jx5WJ7NMzM3z8/HkkEAGRlAyYJmXL4plKhcd6PG+rBU3MNDQ0NDRuaSzX42u53lkrHWt+v6GUXPQ8ALY4zgJ7ifTY/nx2lqJhsNV1KStylo9MLeW4v9Txpvt5pVrFkxJH2V4MmiYblLVEyTRxDIN6HFNQIn9bCDwpEYAXx8yHIZ6U/NjWrZys14mk5HNXr/Kr588z2WgQA9U2ETFIRPu/eNttfNvwMP/oxAkGDYOiaXLJ97kchsTA3331VR7bvZvzvs9W10WSROskCaETwFNTU6D+ng9DHCGIScjjmGUxbFnrqjHTxExDQ0ND45bFSjy+1qN1UOt+x1TKbT6KsKOIPTlimT+2omHgxzFnGw12FQqUTbMpMrVUSnSx4wX48PHj+FJyRUWpakIQSkk1DCkYRkYGtzkOpxoNIimvR87UHwGM2DY/tm0b21yX35ma4venpzk8P49kacRS8j2jo5hCcN73GTVNphQpSxEBHzlzhp2OQ00I5hWJNIUgljLRpwnBx8+fZ6ttUzRNgjjGFIJISqbCEMswtMZMQ0NDQ0NjMSw3rfjk5CS+lFwOArw4xjUMypa1JMFKiUwlipjyfTxl9XA1DDt+ZyVYEPmybcqKlG2xLGwhOPX2tzd9/r1HjzIfhhRNkyHTZEZKUBE2y3W5GoY4hsHe555rSom+1mhkUSSA4uc/jyclpZb9psQtJW2XgyBJTyoSk0agpnyfcrEIJBGyXY7DxXS+VfsjE3ho82YqUcQvnj3bNiLlqm3XO0TMAuAHX3qJX7r9dvYXi1zwvIyUGVzXs0XAGd/HNYyEdAGNNJ0Zx5xuNGhISRjHDFsW03EMUmIAjS4Mb9camphpaGhoaPQFOpGvlaQVX6lWuaIIBcoV/poiW0/PzHT8/t5CgeOqQs8g8fbyleZpse8t97gXRL58n12wQJOV9rZ8pVolAmySqsOZOGbUsrimxPGOilb5cdyUEp0NAuZb9t9Q7vj1DvtNSaoXx1gqRWmQkDKEoBpFHFMpTlMI/s62bYmR7PnznPU8ZlX68hOvvda037Jp4kvJiKo4rShd2WI43mjw4ePHed/YGE9NTWWWGKmOLY9Nts15zyNS47XTrgNq7H4cMx0EbLJtrimtm6GOJ40UroeXmbbL0NDQ0Hgd4umZGR44fJi9zz3HA4cPL+or1ctnVzKeTn5dy3W2BzJ9UywlAbmoyhJ+Wg+PjzMdBKC+H0kJQrDJNLvab7fH/MDhwzx05AgXfZ8Q2Oq6oEjkxSCgqvpL3l8uc/cLL/B9L73Ey9Vqtg1fHZMBzMcxO12Xd42MMOo4jFgWJdNkLgypqAhZKynLIyIxVz3peRyt1bgahpnX2bF6nUBKGsrvLJKSgmFQUvtvSIkNuIbBf7h4kYdPneLlWo25KMLLtUVKo2w/tGkTX3rzm3lTqUQMXPZ9wiVIGSTn05eSZyoV3jc2RtqzIK8hgyR1Ombb2Oo1W6VeU1iQzfNcGFI2jKQDgOOww3Ha+sXdKOiImYaGhsYaYr0q+5YaU7cRqG4/u9LjXEzjtFxnewBHCGpCEKjqwPzifdH3eejllzkwMJAs0HHM3kKB+8tlnqlU8OIYg4TUFU1zVYXh+XmNpURKmenDdhUKXPQ8GnHMNtfl/nKZp6amuOj7mEDIdTIWAb6UFISgrkjcw+PjfOj48SQVGwSc9f2kelEI6nJpNVf6CQG8MDfHlO9nKcGQhByZwIAQXIljioZBLCV1KalH7bz2E1gkkcdISv7n1at84sAB/sn4OO89ehQBSfeBJcZnALNBwCtxzJlGg42WxYxKZ+a/uUWlYxECISWOYeBFUWKLAYhcyrURx8yrwolU03ejNIXtoImZhoaGxhphvSr7lkIvwvZuPrsax7kY+WptyQPdOdsD3Fkqcbxa5XwQADRFWCIpCaXklWoVAexyXY5Xq3xhdpatrktJpRURgjHLomzbVJUAv1cs8PsKgmxeXbUfg0SvdaBYxHJdtrkuDyviMh+GRCTkSiiSmadAITBoWVnfyb2Tk1zwPM75PkEufbcUXCGwDYMDxSLVKOJj586x2bYpKI1ZnLOemFamrvlIl0Fy3iQwaJpMqXlPx5hGraIoYovj8NCWLZSPH6emSOViECSkpRHHWIbBBtU6yvE8LgVBNh/bbJvtyl7EEgJLCA4Ui7xarxMow1vHMCjbNpZhsM11eaVaZTYIuKS0aWOOw/A6dQDQqUwNjRuIG5ES0ugfrCQFt5ZobQoNnSNQ3Xx2NY5zsbZCqbN9NYqQ6u9uBdoPj4/jmCZFw0DFUDJrhHRvlhKdXwpDKoogVcKwY1oxb1XRze+5NU17vFrlpWqVE/U6r9brDAqRaaSqUcTRWo0T9Tqn63Xef+wY1SjCVpoxT5GyPCQJ4fnLGzZkRPjh8XGuhiGNnI9YzNLkrCFlolkLQ0ygEkWcbTQ46/vUFSlL95n+2xGCTZbFHtflDcUiW2wbQwiGTLMjyYiBsS9+kQcOH2ar47DTddnlOIuOLY0kWaqyMr0ut7su9wwOsq9QwALKlpVdJ0OmybBpUo0itth24mkmJVssqylNXIkifKWhC1R166UwXJfqTE3MNDRuELrpeadxa6EXAtQNVovY99JbsZvPrsZxLka+Hhwd5RP797PNdbkaRWxz3SwytBTS726xrCaNGZBFkgwhMEh8tjxlneDFMWXTZFehgGMYWVox3W8vv+c8cZ0LQy6p1FtEIkCfiSJGTROpiE/aC/KM5zEdBJgkRMYWnWmVBP7z5cs8PjGRHfeY42SLfCp+XyqRaZGQvLONBsfqdeC6ji39rgFssiyevO02/uVtt7HFthk2TQYNg1ARwaJhMKzSv+0ggFoUccHzmPJ9ZsOQ15QVRzsYAEJgGAaPjo9zZ6m04Lq0heBQqdR0nXz24EE+c/AgjmFw3vMQKiI4HQQZ2f74+fOU1PbTalOkZDoI1qU6U6cyNTRuENbLF0lj/dBLCm4pjVavurDFtvXw+DgfPn4coogBw1hgWppHN59dSaoxxYOjo3yC5HdyutFo8utK3+/1d9LkoK+qFn0pmVc6KEvpu2JFJkwSvZav/l1RLYTyacUnJyf50PHjzIYhg0KwQaXMwjjmYhDw0Msv845yuWns+TTtlGpV5OSMVwEqKmVqSomtIngp8UhntR1pybc9ioBfmpzksb17AZiLIvYWCkx6XhZVS2GQkD2ThSnRdkj9yNJ/f/S22/jOjRsZME32FYv8yrlzHK3V8KTEVdWPl3yfkm1DG4sRW811es04QjCbs/DIH2sanRs2TX5yxw4e27uXe9XvofW6/Nhtt7X9PcyrFPSAYXDJ97kYBGy1bbZYFt+oVjGEYNQ0mZcysUYxDEqmqasyNTRuZax29ESj/9FtCq6b6Eu36cJuttUpAgUsiMgtFa16emaGGd/nRL3O0VqN2TDsKdXYDt2YjS6F1nmoRhFzYciY47DPdRMhu5REqPSdqvbL46zvM+V5Wborv715FfmqBEEmsE+rFVvnPB91TAsKBElUyVbC+Vh9NyZJVzbiOCMnvvLYyls9tJsrSeKan9+vp0hoWvyQwuQ6OVsMm0yTnY7DgGEgSDRoGyyLH9u2jfFCgVHb5gc2b+af7NpFyTTZatvscBwGTZOLQcCEirq1wiep4ITkPngtjnlHucyAYeAq2xBHRQgFUFA6vI+cOcPdzz8P0HUUtfW3k09XCyEomiZIybyUHCgWuatUYqfrcqhUWmJ21gY6YqahcYOwGlEFjZsLS0WBUnQTTe22MrHbyGxrBGqpiFy7KMQjJ0/ySq2GYxhssm3moogzjQaHSqW2kYvFsJoRwXbzUFBVeVO+z5jjZDozSBb+NHo0oMxar0UR9ShiXkp+Z//+BduzVXrzpOdhkJAcQwgKprlgzvNRR0f5oSEEu1T7pKp6/aVaLascbfXlSish09filvfT7xjq2GMpOVmrcS4nvs+j/asLMR1FjKntCyGQQrDVcRAtadV0fsI45rgy5DVVVLB1jCnSNGdeS/jDR45QV1WqKUwSr7ZUZ/dyrcb3vfQShwYGeGLfviWvs1az4GtRlJxzRZbHHIcz9XqSQpZy0QjyjYAmZhoaNwi9pI80Fkc/WlB0QjcpuG5IV7fEfrnWEr2k2lMSddH3s1Y3V8KQXUp8PWrbPZ+PbGEnMRFNzUwfOXVqWSndiUYDE3i1Xr9ue0HSNPuc6skISUrNUATCVtV7ANsAKSXnfX9BL0pojkBF6o8EdioBe37O8wT9ahgSkpifDhtGFl10VHGCr7bZVuBPkvIbVlo1v+V9SCJcL83P88FvfpPLHUhZijyZWyxyNhVFuKoa1JeSS0GwwGR3otHAlJJJZc2R6uIgIRpmzrIkxXBOgJ/eB4umSUPKJkKXplrj3PdNcgStVOKJ3INA6/1h2DC4FIaZWXB6vJGUVKKIsmky5rrMRxFXW9perQc0MdPQuEHoNnqisTj61YJiJeiGdHVL7Jcbme2F0GUkSkVxhKpcnPJ99hcK2XfyC+SwYYAQme6p9dpPidSkikBZQhDFMa9Uq00koFsCOWyavFKtZnYJqc1D0TCoqjShTVLhByCkzBzwU1wKQ64EAV+em8uaa59uNLCFwOJ6pC0jeUJkPSNb5zxP0NN5yd8HPnT8OONq7hYjSaGUVMKQjbZNATgbBE1kZ0ZZWHSTDs5H37r5rGuajDkOFjQ1P//Qq69yWjVaB7LIXrrdkIRsFFTaNlDmtK0k6O7nn2cuipDAkGnSiKIsspePtgmuR/xs4Fi1ykNHjiQEy7a5FASMWFZ2f5gNQ2ZUYYFQhR4xCUFL21c5QvA7d9zRF/eQviNmQoifA34cuKxe+qdSyj9ZvxFpaKweliNg1mjGrVhE0Q3p6pbYLzcy2wuhS0lc6r9loqJOcZx9J0+gTSk5qtJ0u9V+8mT66ZkZZsOQWSWMBzKj0VRH12tKN3XslySRr0hFW1K/MIPrpAzIzFOruXmb8rwssmKRkIFQeZ9BQhC2Knf9s8qEVUrJpTBkOgi44HlsePZZXFUtmJ6DdtHe1Hdsb7HIRL3eJMjPIyWCU0HAXtfFAbzc+53tXVeGmKSKcqJep2gYXA3DpF/nkSPMtlRHpmNIzXxTohjEMbZhsNmy+MzBg9m5f3Jykr997BiXgiAhyyrdm4/3tWrp4Hp/TB9w4pgqcELZXgxaVqbFBLLooa8eJjYYBgFk1bb99JAspOyGV984KGI2L6X8l91+5y1veYv8yle+snaD0tDQ6Bvsfe45NioRbwopJVejqKnJ882GdlGU5S4Uy9lWnkjlCV07QfUDhw9zwfMI45gJRV7SlcQG/trmzfyPq1epRhEF1Ug61U7lzUsdwwApeaVWS8TtbcZlkqT9Lt53H0/PzPBDR45kEa+CYbDDdbGAba7L5+65J/ve3ueew1Qkqa7aCKUEMvUDs9V4YkW2droue4tFXlF9H2dzFZSmuN4rE5ojOGkExhKCQcOgISUl4JpMmopLkrTdtSgiVNGibbaNbRjZHAPZ/J+s1zN3/5WgVdO1GhAo6w3D4EChwMu1WuaP1rovN/cbLZomGyyr6Xp8fGKCj05OJkUPqhAj/Z6Zq0rtBIfrXRCKyqoDkuinY5pZWno2DDnZaOCQpFTT63WLZbFfEeYbLY0QQnxVSvmWdu/1XcRMQ0NDYzHcqkUUS0VTl6Or62VR7iXVnkblfLVw5vcTAf/xcpLwcBWZyZMgT30nkJIT1SqOYWAqstTajie1G/Wk5OmZGT5w7Bj13D7rccxEvc5m2+Zjt98OXJ+ni0pPtN11s5ZCqeP7mONcj0qpKM4my+LXDhwAEoK0QYisv6SvImZ504f8SFP6UDZNqnHMJtOkEscIKTEVMb2Ss4yIlBZrl+PgGAZPTk7yuXvuyeZ/ol5PmpOzMmJlqzF3k6rsFmmKcpNp8mou7dpunJ6at92uSyxE04PT0zMzfHRyklhpCfO1m74itCnSCtI8WbVISHYsJQ6J/iyt8vSVH12KC76PmzPxNVWRwnQU8eOq2rafpBH9GjH728Ac8BXgH0spry72HR0x09B4/aCXyM6tgl6OudNn3zc2xjOVyrKiAu1IIcB7jx5lNgwz81JTiIw4pa/Fyhcsfc0RgjtLJY7WagBNOrXWCEkahbGF4I5ikRONRmYtkRIOA3jjwAAvvvWtTccexDGnPa8prWYCe1yXsm0zG4ac9zy2uW4TCU2jgSWlUeumtyRc9/iK1L/TxtlCCBpx3OS6XzQMIikxhMAkebB4Z7nM392+nV2uy7+9cIH/dulS5trfDmk6tpPvGCTkJS1KSOegYBjINnq6TuhUGJCSPlicPJrAiGEQGQYjlpVdP09OTvKF2dkkagrZHHVC2owcIdhu25zzfRzDSFK7aZVroQBxzBnPwzYMDhaL1OKYE/U6myyLShzTUNeYA4zYNodUy66KInOuYVA2DPaXSk0R2NXGYhGzdSFmQog/A7a2eeungeeAaZJz/RFgm5TyA2228UHggwC7du361jNnzqzdgDU0NPoKq5n2uxmQJwspqsq7qXXxaPfZKc9jOorY47o9k9nHJyb4+TNnskXYEYIRy+JD27fz0bNnaSiPLTuXfhIkUQmZS0+lsICtts3FIGC363IpDLPIm9dhPcr3t8x7AUpVJWgbBlsdJzN9HXNdKkoP1c5WomAYjJpm28U3nyqvBAETOXK3HLRG2lDHECgNlUVCXlzTpBZFbYmWLQQlw2BevW+p17oljXmYwAbV+LvdtweAt42MZD06a6qKNP1snuT1svdNlsUu182uvfkoSo5XEdQwjjMCn247JdPp/JeU6Wua1n5ycpJXqlUqUcQmZRZbi2OuhiEDhsEF3wchiOOYCNV6C6XTk5I7Bga4GARZyjp9T6o5unjffT0cYW/ou1SmlPI7uvmcEOLfA/+9wzY+BXwKkojZ6o1OQ0Oj37FWRRSracOx2LZ63U8vFZNfm5tjXi1EJrDFthNtUxxTynk51aOI9x49umgl2uMTE/xsy0OvJyWXg4CfP3MG2zCyhtq+Sinlo0KhMkpNLRlcRUjmpeTQwAC+lIxZViKcX4RkpGk9uC4ghyQdmkbNNpom5xoNakJQMAymwhBbtdhpFZHX45gLccyPl8sL9tUuVb4StCNanjo/6fshZEawkMzdu8pl3qn+3F4sMmCaPDs7y189cgRTHddyEJEc/8/t3s2vnT/PlEqxCmCzZTGQa6HkCEFNFW+0Gm9IkqhTahWyFOaiiDnV5gplkTFi21zyfZASyzCIctdtes3YKsIXATtVBwZYvMr1h7ds4ampqczp/0itlkQoSR4Y0msW1aEAlXJG7TtU6ff1Qt9pzIQQ26SUF9R//wrw8nqOR0ND48ZivTzKVtOGo9223n/sGGOOw5TvJ0/4pskWx+lqP93q6h6fmEha+5AstBFwIedl9UqtRqCqFSMSUfRDR47w6Ph41sYnfwwf7dCEPI0q7LZtTnteRj5Sh3oJlJV3lANIlWYqmyazQcD5IGAqCLJ5GHccTim7BSddLHOwFAH0VArTUKmrCDIdWergXo0iTngeiyG143imUuGx3PE2RWBMk9koyvy4LEWGVkOvtRSRGRCC92/dyvdu2pQ47isR/fdv3syhgQFONBrLipal8OKYe4eHubh3b2IUfOoUr1SrzMcxQ/J654KSYTCr5rw1QpYK9IWqeE0rMNMIV6w+k7adMoAp36dcLBLEMdUoYj4Ms8hqGvncZdu4hkEInFWpa4mq1OxQXdz6oPbA4cNNlduShOykKXDXMNihHlhcIaiq91LNmqS5cOFGox9bMv2SEOIlIcQ3gL8E/OR6D0hDQ+PG4EY3es83BX/v0aPMhSHnfZ+XazXO+z6+lAtaHnWD1hYwYRxzJQg4Ua9TjSJi1VfxlVqNU40GF32fR06e7Li9bls7ffz8+UzfRO5vSKJOXhwTKh+pNFXkxTE/d+YMd7/wwoIWUOEiVXGSpO9jGtlIcefAAD+7ezf7S6VEQ2UYGSmrBAFnlU/ZDsdhk20zHUXMxzFly2KnbXNXqcRQjoCm2059xyCxhwgUCdyjtg1K09ZhvClxMLjup5X3W3v/sWN8eW6Oq2GIlJKpIKCmeiZuc5ymXpHpuFaydKcpzHaoS8mnLlzIrp88nti3j62OgyVEU4SyWwjICg7S39uJej0hVKooIVTpxnOqx6aj9pXChixql48sxSSRzRiysQmuC/W9OM6uAVsIdhcKyXaAQwMD/N6dd/LJAweyYotx1000iuqaHewyitna/s5VBSamENxVKnGgWMQWgj2FAodKJcZcF1tFeG3DYGwd2zFBHxIzKeWPSCnvklK+SUr5fbnomYaGxi2ObvtBrgZaSeC1MGQ6DGmoKrFA+Vi9Uq0uuo3W3pKwcGGYCsNER6MWGaEc7j1l01CLY16q1Xh8YqLtfpbqV5mOZTYMm6IxTdqqNqRF5v68XK3yfS+9xN3PP8/jExN8qVJZVFgOSfWbo3Q7giSqMeo43Ds8zOfuuYffu/POhESQ6MFeU2aoaYSrYBhJz8IoYpfrEpBo57ZYVkY40gKCNG1ZNAzenC6uhtFEDK62aZbdOhfp9mzDyCKOH3r1VS4pIubnInM2Kn3mOOwqFCiYZhZt26wiO7c5Dnttu6v0UzpPdw8M8Nk3vKEjifSUkS0svMZemJtj0DSJVFGFLZK+kt0mXiWwzXE43Wg0GwXnqmOnwpDZIAAh2O26OIaBFCKLIqXnJp9+ljSTxIAkDbnVtrOHE0eIpmtgxLK4Y2CA24tFRh0ni3x9Yv9+HMPgbKOReJSJpH2VH8ddPajle5NC0voplhJLRefyDzYPj4/jCMEOx+GNAwPscBwcIda1I0vfpTI1NDRev1huO6HloNWoNkUkk9Y8aVqjk9ZksdRna+rRU9YJrvp/VemJ8v0QJfDPlZ4rn1ZMU2xHqlV8KdumWNKxdKqgM4FdjrOokD21EThWq/GRM2cwhWjSdrVuL12II0Vi0tdbU7N5C45YSnan0bMo4nSjkRm/nqjXIY6Zj6KkOk4kLXwi5fsl1b62uy5zYciUKhp4TaUtXZYWo0tyBQZSMqHI8BkVGVrwWeBYvY5B4nm1w3HwpeTj+/bxpsFBvvMb32Cy0Vi0erJ13gwh+Kjq7/gTx49TbROVjIAhw1hwjR2v1/nC7CxbbZu9rstZzyOWklHLokJClAVgqj6e7QT6lhDYQrDNdZuMgoM4xlAk24tjYjXvZdumbNtqyiQn63U8ta92/mX5/5ctiy2WhUnSc7NkmlTCkN2KEKftshwhFpDq+SjCNgwMlQqd9Dx2FQoLDIfbodVk2TIMNto2Y47TtuVSv3Vk0cRMQ0Ojb3AjPcrakUBQ+qlUS5SLErRisQ4ECxYGpY8ZcxxqUcS1qD09ioGPTk5y7/Bw5or+4ePH8aOI2TAEKakCx+v1JvKTjmXMtrnQ0qIHkoV+wvMWFY3nSUuaDhVCYLcIv/e6LleCAI9kAU+35qqIXGsnhrz+J60YBTjveRkpM8jZJcQxg4bBiG0TxnFSvBDHXPC8ZEGPY86qfoyphmk6CHoWw9vAed/n58+cWZJUxcBFZVT7lzZs4PEzZzg8P99ztaZpGDyaW/QHTZNGrhAgj0tBwCMnTzZdYxVlTVKJYw64bkJYfJ8LQcCAYbDbdbkQBJklxAJSxnUNX2pZccHzGHMczjYamRmuJQSxEIy0/D5qccybh4ez736pUsmumTRtmRJ2A0WuhGB/qcSncnYkL83PZ1WhBtfJfdp6q9uWX53QzpPvY7ff3pFs9VtHlr5LZWpoaLx+0a2WarnIp4VmVVPjFAOmicl18bJjGGyxrI5ak9Z0JVyP7uVTj+fVPiQw2Wgw5bfzt7+OII6z1G26QFVU9MNS6aZKGDaleNOxbHddttl22xt7BAtE9Z0QkVQK7nIcCiqdXDAM/uSuu/jkgQN4JN5RhRxpDVV066VqlXMdUsD3l8uc9jy+Ua1Sz3UDaI30hVJyyfexDINRx+HU29/OO8plbCGYUtYGpkgMQ0umyR7XTWwgutAg5Z3rDZVS7lanVYlj/mBmhq8qUpZ6ldkqBZhuP/83an9vUhqqfDT0UKnENtdtOl+CJF07Ylm82nKNeXGMqbRaAGXbzva/XVmPeB38wNKZub1YzNLg6e8t1XMZirjfXijw6Pg4jiqmaP0tPjg6mqSq3/jGzNQVms1fbcOgofpe5nF/ucy0ImVpu6aIxAqj9Xp2lU8ZLGz5tRTSMZ56+9v53D339BXxWgqamGloaKwZOmmwOqEbLdVy99GqKRs0TS4GAVOeh5SSsmEgSFr7ZFoT0+xICvcWClzyfY5Uq3xtfp6vzc9zpFZjSC1U6cJXMk12uS57XDdJzZFELRZDGhFIFyhP9WBsqDL++SgiyInX85qa7a5LSZHMxdBuBCL3upSSsm1zoFjktkKBd6go3pOTk5RUn8F8ZWBEsnimfQ4rUdR0Lp6emeGpqSk22XZTFLJd+tWXEikls0GQHePD4+PMhmGS6lS6vIbS6KXzWukQicwjnz7OFxZ0i4IQ/K0tW/jUgQNscxwOFYvcNTDAoGniKr2XJQSDpolFQjh2uS6v1us8dOQIdz//fDYv95fLTAdBZvmRjidQwvtIHWd+rhrqeF+t16mo6JgpBGcbDQKlj8x/Pt1mwTAYtW1GbTt7P/97i4G3DQ/zR3fdxYtvfSuP7d275G/xwdFRHh0fzypxISFlEtWTtCXN//TMDM9UKk3jMrhemNJ6PY9ZVpbCjtSxreaDWr+i75z/lwPt/K+h0X/oxq2+W2uMTp9bTn/HJuPVIGA+irIefveXyzxTqXSlNXl8YoJ/fubMAlKxwTT57UOHFrjIA7xUrWZVcfNtogmQkIT7R0b43D33ZN8/43nUVdQs/YxBEnF58d57F8zDi9Vqk+M9LOzrOKDc5/MaurT3YHpMg4bBiGnimGY2p2Nf/CKzqnKxVX/mkKSd8n0IUwPX/FxUoohTyvy1HfJEqWxZjFgWw0oMXsmlT+G6mB+6b+CdRqXSNk1p9GapYgcgIVlvexuuYTQd00vVaqa9S/uBzoYhE4ps5PczbBj8v+PjPDU1hS8lr6l+o3C9ajRMPb3U8Zlcr3i0cq+nx2MoXWSaEjZIooljlrXACX+1O2Xke14aqihBAkUlqi/bdmaIPNFoMK1868wcifTjmHep6761g8OFIMCPYw6VSjxx2203VfSrE/rOYFZDQ2N9cSO8whbTYLWSqsV8wxb73FL7yKOdpmyLZWGL5h5+j9EdnqlUsNUTfJ4oVKKIR06d4sHR0QX7dA0DX4nbB02zrdZMAhO1Gnufe45hw0gqLdtohkLgZL2e6XLS+XilWl1AeFobbqdRCJSwOn0v3zoJEt3XNPDo9u3ZfKaGnIbysKLl+w5JCnTYspq0QOlcXPB9Lvj+orqu/HuD6rwfq9fx4xiLhKCk485XBnYqfmi3/aUaZLeDBewrFrP0XV5L6KhIIUIw5iTmEulx5o9HkqREP3r2LHsKBTZYFgXD4GS9nn0u9UuTAEqEX1UkcqNlEUiJp4x2x2ybSc9L5kNe91mzSKJQ+YrgtNK5028kj17uEY/t3cu9w8M8cvIkr9RqmflsDJz1fXZBdj3sLRQIo4hLYZiZvkYyMZi9v1zmgcOHmWg0GDYMUBrCtyld261AyLqBTmVqaLzOcKO8whbTYMHi1hit/mK+quhq/dxS+8ijtYQeksV5yDR7Srfmj09yvYdf+icGXqlWeXpmZmHZvuNkrWHylhD5vwVwKQwxpeREo8GlIMiISGv0qxrHPHTkCI9PTDSlTvMRJ0kzWREk5q+BlORtWN3cv2MSErlHpWCfqVSuf05FxFIvtFaClRKlVi3Q3kKBS2G4JCnLQwBjylojFYKH0OSplcdyzV+3Og5/dfNmPrR9O6PKEqMdSobBTBBk1wqQpftKpolhGGxxHIYNI9FktUT38khTkpA0P0+tKmKSiGpaPYkQvGFgAFsIXJL5PVAsclepxMFiEYTg0MBA5gdmct03zFVpcKRs0oItVem8nHvEg6OjjDoOtxeLDJlm4mGXs99Ir4eHlXYtfSgKAcMw+MHRUZ6amsr2mbZt+uT+/TedRmyl0MRMQ+MmQa96rU64UV5hnYhQulh3IlWvVKsL/MXOBwGH5+czXU26sCy1jzzaFRZM+T5Hq1W+MDvLtO9n1Y7dzO3eQiHxO1P/z5Or1MAzv8/ZMGxKWc0rzUxBLcBDpknBMHBIIh2Tvp9Yd3DdpNNVFhZ5s9Q4jvmoIrP5c2vTfIM3SIjFDsdhPo4pGEayb7XtVlITS5m0SlLan/T6q0QRhiJnrUijWK8FwQIt0MPj41zqkpQZLX9DQhRRqS8jJ7Y3WN5CVhCCUdPknlKJY/fey3+84w4+eeAAv3noEG9URCidZxvY4zgUTRM/jpvICsDn7rmHi/fdx+/deSf7i8VMk3VoYGBR/dqFXCFI0TCwgSHT5ECxmJyPHKFKj9/LXe/ptZ6azm6xrKyxeUNF1VD6uzSKl/9eJyz3HpH+psccJ+tHmVbc5gsHPrF/P/tLJTY7Du8sl/m9O+/ktSBYsE9ftQ1b6T3vZoMmZhoaNwFWM8rVS5RpJViqwrITqfKkzG7Qc0ovk0ZmfGWVcMn3s6fvbqs4WwsLUp1XTEJK5uOY855HJQy7IqkPj48zZJrZ2NJxmsA2286qM983Nsak53Gy0aDWEkG5Y2CAPYVC5kYeSZmRj7Ty0FTVg6mdRV4HlTYOj6TM0pjnlB4tVN8vKuK3p1Dgv955J8O2jaNczj2V3jKV1UU+8pe2ypnwPM55Hg8dOcLxapUdtp21rUmREseUhMRtNEwPjo7SraY5S+lxXdCfmoQ6ork1Ul543gt8KbkWxxyp1Xj317/O/uefz6JgL771rfjveQ/x/ffzP+66i3eOjHAxDJlTTcQ7kZXWSsAn9u1Lol5tYJNcz+m16wqBT+Jx981aLWublRKqxUxS0+tsSkVX88cYk2gFG2HIN2s1vlGtctrzuL9Nn9AUy71HpL/psmmyybYJpKSurpX3jY1l10O7isnWfVaCgEthyHwY3pAuIP0ETcw0NG4CdJv26+apspco00rQqcISEiH4EbVATAVB00KTCtgh6a2XVpnFJGQBKZmOoqan726rOPMLwqhtE3C9rx8kC/yVMORrc3NLzumDo6N89uDBpJchSlAuBHtUe5c9hUJWiZiPckiSCMLlIOCb1Son6nVerlYzA9nU0iK9OcdSUjSMzJQzFZA7OULlCpH1eEzd+C1xvdNASYn3IUmzphVugoTspU2i03q91Dg2FZsbUmZtpM77fkbi8scUqr9HLYt3lMttz4EpRBOBa3ov9+80GiiA0/U6s2GYmYS+YWCAkVy6MdNidYl0/2lEJ5CSo7UappQLFv/8A1GsKgPPNhoZWVyKrDw4OspP79q14HgtYMy2OTQwkFmqzMcxo5bFgDKHjaVkSFV2SqXB2mjb3J6LyOWv9WcqFWzDSNKYuTkOgdk45lwQMK+MezfZNk9NTXW8VwwrTd9L1WoSpY6iJe8RT8/MMOP72fU85fuYJNfpVstadH+w8L40pXz7iuoB7bzvc7bR4L1Hj97y5ExXZWpo3ATY+9xzbGzpmyel5LzvZyRtqarEFL1UMqafX61CgdZ9X/J9pqOIsmlyqFRqMr1MK93S9kgpMUsJ6sX77lt0P0uNeeyLX+RS0M7XPlnYDhSL2fzMhiFbbJu5OF6wvcXm88nJSY7X65xbpKn2VttOyClkppqS65V3IUlkLLVC8OT1PpcWSfRmi2UxLyWDQnBJ+XylompDmZo+U6nwpUoFX2m1bFWVmSeCJhCrCFtqUmoLkenJ4HpFYxTHWfVd+nqKsmnyLUNDC+b97hde4JVqFaG2mSI1tE01UqlH2ahpUoljojjm7qEh7imVeC0IeLZSSQx3O5y7Vk2dTZL+jKHpWNJ9W0LgqErKtHowXxVbMk1eVcUHgutVl/nPLoZ81aIrxIJK13Q/oRLre+pcb7Es9g4MdFUlvPe555hsNDJ/tU4r+zbLYnuhQFVFjUdtu+l3AvD+Y8e4EgQY6kEoAjbZNp85eLDjPSJfRTmhUvbtqjI7zVXr7+ilWg2kZLPjMB0EGdkMSTzXVrOqdD2wWFWmjphpaKwCVkv/1QndpP261YL0EmXqJoXay7G3Rv7GlLj8kLJVyJteVlWlWxjHCCHY67rcVSqxc4kGw0/PzPAB1ZD6fKPBl+fm+MCxYwvGlbZFagcB1xuQA9NBwIm0qrBlDhabz4lGI+k5uAhmwxBXJB0GXMPgNtfNWiFJEgKeVmX6OVKWRqmG1CLvqO+b6nMNVXHpQiaqTqvgAhIjW4PrvlOSpKrSBLY7znWzXbWdFFlFp4q4uUofl9eFhW2iTwBP3HYbm1JTVBIRv6MiOIdKpUy07hgG2y2LomkmJFAInr92jU9dvMh/Vz1B033ZQjCkrCBSjVVRzWcarUER3o0q9ZxHpOa4Hse8Wq9zsl7nS5UKT8/MNKXXUk8tCTSiqCfz48f27uX37ryTd5bLbHYc9pdKTb+5CeVBdtb38eM4m/dzvs/D4+NdmaTuLRTakuQU6fm5EIa8VK1yutHg5Wp1wW/7kZMn2WBZTT0yHcNgi2133H/+dz1i21hq/i3V0gm6iy7mf0cl02TMdbkWRYmOUBHrgmGsWf/cfoGOmGlorBC9RqBWcx/zUcROx0EIQSUIsqdtQwh+7847V7z/dt5f+SffXo+9XeRvNgg4HwRsdZymp/ZUM1WJIjaZJlscp6u5TaMylrje7zKUMvP8SuF8/vNNUZtWpK1gpCImhhDcpQhht5GSBw4f5guzs0v6YzmQVdXdVSplPQmrauwmKqKlIkmx0g6lFZ4/s2sXv3v5MkdrtazfYZqqcwyDcVU1+Gq9ThDHWVQuqwSUkn3FYpNnlCVERu5gYT9EW5EdS81LGlEy1et3lUpt5ymNZrZGgYIo4u1f/zpnGg28OM7sIfIoGQb7i0XOeB5l5Y7fUFG/NFX73qNHqUYRBcNgzLIo2zZTnse8lFTDsKlYo/WY0opTUwi2Og6DhsF538+aw6faOwt4R7m8ahYODxw+zJfn5ojkdW+vWCaWJG9TDeGXwtMzM3zPSy+17V/ZerwDhkFdkf19xSLlXA/X057HoWJxQXT+ahQ12crk0fq7frVex48i5DJ+M/nj+fDx45xtNBKvOjX+1IplsfHcDNARMw2NNcSNqHJcIFwXibP4XBhyrF7ntUYje9oWKiqyGkLZlVhetENr5K8SBJz1PAxYvNKtVOoY3WuN2B3NGX2mTvkRcLRWaxqLKcSi7vgRqs0QSWQqPwvdFks8PD6OZSx9m/W5blEBcKZe55oiUGlaMkARMqX9spSwHyl5amqKa8qwNu1xmS7EvpTXoz6qWi5NF95WKGSRyzTaccfAAFtdN+s92c4SA1S7JqWve7Ve51rOkT+Ssql6No9U53fybW/jqYMH+Z9XrrDli1+k8IUv8DXVQ3E+R8psIfie0VH+6I1vZPLtb2fEshizbUYdB9Mwmq65B0dH+Z077mDcdSlbFheDgBfn55mOIn5yxw5MpcHqpHFLj3W7beMIwZTvM6NIWToXoZS8fWioJwuHdlHl/GszaX9LNecp8d7mOF0X5Tw4OsobS6UFvV3zPSxTpD1KTWhqETZgGCBlzxrUxWxhlttaLb3nDVpWYpFiGOxSadG16p/bL9AGsxoaK8Qr1Wp243FVqfjwKlc55jVTw4bBpSBgxLLY4bqcaTS4qIw3DZE0H97uuliwpInkUliqqXg709ZOpCUVB79arwPXtUCCpI1QJ/PLxRoMtzOfDdS202xAKvQOpczMWAEOFApJhInrwvU8WiNF+eWul359j46P83NdNMoOpGSnZXG6VmOmpVggjbil40wjN7ESRztCcNrz2GzbXFINvU1gi21zVQm3S6ZJ2TTZVShkth3bXJerYcgWq3kpmA0CEIIC19On6VgclM+WYeCKpI9n2CYtfNb32RLH7M+lnathyOdnZ/lfV6/yf2ZnealaXTAvBklzb1sI9heL/NPdu/neTZuA5Hw/d+0acfpbUxGx/DX34Ogo75ubyzRdBdW94KmpqWxe0nOen+M0hZpuU0rJq0qv1zrGP5+ba7qWWvH0zAyPnDrFq7VaQuqkZMx12WJZXPA83n/sGAIYsSw2miY1FaGUKkKa3kcsdY66xRO33Zb9HmbDkIupdpHr5sGpnYtQ5LfVfuPAwADzUQRR1KQDvRqGPHD4cNsoYd5od0CR3022nV1/S+njOiEl2vmo/Gr3z+1HaGKmobECPD0zQyWKiOMYS7V4OdtosMVx2F8srto+8uQjdUAfVK1qRLHIyXqdgER/MeY4lE0TKeWKyWHrDTdNJeYtLxYjbq3H4Cu9SL7tD0BNLexTvk8jijLfrKVu5O2c/10lkIfmSIFNM1F9Yt8+fvjIEa7lojMCmhbulARl/1fRhG4WhjyZtrm+MC6GVDTdinR86XsmZK13/CjiVeUafykIEiNSRdouBwE7XTcR+OcWza2Ok0Ue737hBY7V602EoKF8zra6LmcbjUx47atigpJpss11cYTAUFGlBeOVksthyKObNvEvzpzhf8/O8qW5uWTRz0GQkPkh06RsWcRxzM5icUHKK72GUtKdWqfsImnunr/mnqlU2KOigClSzaKn0q+FXJrbzaV7U9Ti662N0nGmxxaz8KEnPd9HqtUk9SmT5uDpdXTB8ygYBmXT5KwqBtmhSFdJpeqng4A9rtv2t9YN8h0gPCnZYxhcDoKsmKAsBHsGBoAkWp22aspf1x+77TagRUpg2xmpbNedI7/fNEX9sdtvX/D7XU4hUbtt3+pdADQx09BYAZ6cnGSTaXJJykxYjZRMBwGfOnBg1faRJx+p5mjK9ykrfUhJldgfyJHBVoLUFHUzTZCybZVhHkvdFNsRt9kwxBGCvc89l207PYbLqqqtNRp1wfcz7U7a86/dAtCKdhG7na7LyUajKcJlklRytRLVomlSV9WF6XhCEhJXMAxiKbENg7JlMR9FXT/9t5LpbpLaqbC5EbejZgkKKqqSr/HMfzoisbZICakgsT54Yt++tufw6ZkZppSJrCEEfhRxul7PXOOnlDVGmtYcsix+5447smMf++IX27aVSr3hYin5eydOLHj/QLHI3kKBz129mo1z0DAYNE1kh4hreg1tz5FFSMxstzoOD4+P8/jEBB8/f57ZMEwihqoCERLyN2iaDJkmc1FEECctjTZZFn93+3aemppa8ABSMpJWSK2pTwOaxpg/3zXVYF6SpPLS9KTk+m82lHKBp9sWyyKIY7ap6zTt3frk5CQfOn684++0Hdlpp+NKx1hNCbqy3xhznLbXdbter4u1c1osst06Rybw5bk5vu+llzg0MMAT+/Yt+t2ltt0rbkRLupVAEzMNjRb08qOdUNGxgmFkwntHRRR6bdTdCW37LcZxUwpixDSZhuym2/q03XpTfEU1097luh2fglMsdlNsJW6p4aqvKuDSbVejiB2Og6eMT6E5mpVW+qXi9u2qsmupVGwasWu1GXABU5mopikvyzCa0kJPTk62dbwHpedSVYubLAtHiCZC0g758zwbhgwKwYYe0lAGSVqpk9WBICE0CJH1w8zPH1x38I9IrpMtlsW1OO54Dp+cnGSDZTGUv35VleNMGGZVj6nX20/u2NG0HV9p3tohH0MbsSzuGx7m2zds4Ds3bOBko8E/OnEiseyIYwIpO0a/UqS/AyEEuwqFLLoqSNoivTA3x0fOnMmiexFJBSKNBtuVBipvydJKUu8dHl7w+m9fvMhvX768QGc3qpre5+cxfXjKp37zDeLzaUNLiMxIOEU6vpRUddNLttt+s9B9VKvdnOexXDPqdI5CYNLzkt888FKtxkNHjvDo+DiP7d3b83Z7RS9ztl7QxExDI4def7QpMSjbdlYWnlYfLWd77bC3UOB4tUpFkbHUjsDNpSAc0+TR7dt5plJpG9nKLxyv1uuJnoWkJ+OBYrGrpsb5Oer0hP7A4cP4Ss8E15+wr6hxpk28U/KRttNJ0z2OYTAoREYSTnveoinNh8fHmzyXhKrQGzJNHMNggzLsbJcWmmg0mI2irNouHVOW1hSCjZbF/mKx5wjZuUaDmhBJ6sq2k2q1JSrg0+bc6d+tGFMkSwK7CwVOqcUx9ekKUAL2NpVwnZCRHdPMrl8pJa/Uamy17eyac02TsmHwTKXCT0vJiVqNP71yhZpywu90PN+3aRN/d/t23jE8zIBp8pHTp7nv8OEmDzIBWKoCMR/9ap3f2TDkXKORGOOKxP3fNgxuLxR4cHSU9x49mth/GEZ2HaTXeFlppBzDyKJPn2zTmaA1Nfmla9cYVhG2FEOGwbBlNY3xSLVKTWmfwpbznL+uHCGoRhFDZtLPtNODFLRP07f+Thf7TPp+6wNhL+SjW6lCN0ivteOqx2xaGSy43lbs3uHhNSdH3czrekNXZWpo5NBrleFiLYGenpnhvUePMul5nPd95sJwWRWb95fLXAwCvChKDEDVDW1MCWvTSsXH9u5d0OYkRb66MrXTSCM00P1T8FK+Zp2qOF0h8KWkrKr40oXKRDVbVsLeMctiRrnXd1Nd+uDoKGOOk+hkAMc02VMsMuY4jDnOol5tewuFJrPWPASAstjoJsLZet0UVap4ShGQovIX69Q3MfVpchXpaB3LBsNgLo654HnMhiGelAwqPV3BMBDq706VcJ285jr540XAbBRlEbRRlfp64do1Dj3/PAdfeIF/ePJkZk7bDqOWxf+zbRvfsXEjJcviI6dP85EzZ7jWRo8WkhQ/tGvllF5zg+phoiETz7FY6cwuBQFPz8xwLQwzq4nUiDiNnKX/bu1z2Y3n3v5iMWvMbZFEYvNjfHpmhjl1zZosjMDmZyjV5n324EE+c/DgotdnN22RUv+zV3Mu/UEcL+g3u1z/wV5ani2F9FrzVNUuNLf/StuKrTVuVEu6lUBHzDQ0cug1dN9JgwUJoZgPQ2whmoTKw5bV003gmUqFra5LRUWRXNNki2Wxp41AuhPyT76uKlKQXLdn6PYpeKmnzU5P2PkU0rW5Oa6plJ2rKuYCkhv0a0GQ3azT6tJGHPPeo0cZsSyGjaSR81wUZVGAuSjiYAffpbxvWSseHh/nS3Nz2ZM7NC+iBcPoOsLZet2MOQ5n6nUacYyUkrJlUY8idtg2rmFwzvfxZOICv8E0mQlDAikzb7D0SIqGwbBKK0pgs20zEwRJiyI1XlMmZq+jpklomgsq4YCOUduHx8f5wLFjnPW8THOVFg401OJZlZL5HHlLq2oHcp5idTW+1AR0V6GwoCr44+fPL6iGTJG2l3pbm4hJes1tcF1mwjAblwT2FovZfoYsi1oYZi28TCGwpWTAshh1nKw1FXQXJcmf07JpUi4Ws+sq/50nJyfZZNtZg/Z8Kjo9jw4wYtsLulV0k6ZfLFo1bBiZd52J6iWrBP0bLKvj8XYbyV9N4X2qR7XUQ1o6N2n63RUiuy+upQZsNaOAawVNzDQ0cljOj7ZdeuCBw4dxVOQkUKabkYqgdNLQdMJEo8EW5d2UoteKy7xIf4ttc0aJ47dYFtUoaivYT2/g+RvkK9UqO1RT5RR54prfT96s1FEEMK+faUdmH3r5ZWIpKZhm1rx5yvMy4nG0VstSeeliMqxSQb3eaFMri184e7ZpoYAkgrU1rdLrIs2Rad1IBN5pVNISgqtRxP5ikR/fujVLNX9bucz95XL2/x2GwWtBQKTmc8Q0CUnsLl5tNLCVmeq0Stla8noTb1uJ2vd3iO6l12K7Rfrh8fGsu4AEwjimrr7XLha223X57tFR/q8NG3h3ucyIbfO/rlzJzpu9SFXwNXWNBbnihAwq9dguEpMnSHlD4PT40+vvJ3fs4CNnzhDmfm+pLu6zU1M9a6W6vRekv8+CKpbwVKreBO4eHASup5R7IRxLVUQDoKKImXedOo+BlItGhXpJ562W8D4leY+cOsU3qlXgeksxSaKTTfvLrqUGrKt5XWdoYqahkUPrj7YbD592SBeTMcfhbKMBKi3X6PEmkNfWFNX2yqbJpTBkPooWEKlOaH3yPVQqgZRcU6SpnWD/fXNzPDU11XSDrEQRdhg2kcT8YpXdfE+e5ITn4RhJ820/jrObKzRrX9LKs4lGg4JpMmia2fZfrdezyNqlMEx0ZCS2EKk2DhWRXKoytN38PLZ3L/cOD2eeU56UOMB4sUg1DJmo14nUOB6fmOgoTk4jT9NBkHUMiKVk0LKatEyPte5f/f3A4cMU2nRYGHUctqr021FlaZFSExO4vVhc0k29XRS4KAQnazV+6uTJZO5UpK4VKVm1SVo/HXvrWym0bOvB0VHeUS4vSWLSiFa+YjQ7FsPgDcXiojrOUKVYMyICTdY06bn5+PnzzIchg5bFT+7YwWN79/JMpdLzA1enBfz+cpkHDh/Ort9h5UOWRtUqqrLVabGhuL9c7olwdBOtmosidhcKXFKWGK5hsMO2Oe95iz6srKaovxekJC/fO9QW13uH5iu410oDdjPYb+iWTBoaLUifals9fHpptZQvM69EEVO+Tz2KGGyxG1hqHKn316UwBLUoly2L2TBkq2133aao27GmqEYRF4OArbbd9PqU5zEdRQu8llr33WmbjmEwr/ykUuJ7MQjYqsw3L/k+rykvrvTJ3wD2ui5nfT8jPWnLnzS19EnVMDytDJ3y/QXC/17OWyUMuZDrcZl6mY27LgjRluzd/fzznGg02laCLpVyzre0aW2tdaBY5EoYcs7zFtiMFNRcvGtkpOPikh5TUVlxVMIw04+1Gl3kiyBuLxYZUCnGmiLwrQ2v21UHdprzxycm+Igy2s3vd9QwsNRDx5RK8TpCcKeKAEKSir2oOlukqVBHbUeSmJneuYgecLlt01oju/eXy9nDSrqdq4psjuSut7Tp/TVFhlLCsVh7s+Wg299Z6/Eu1WrtRqBTa652bduWagl1M2KxlkyamGn0HfrFY2YlN688qZpVrWpMIXoqCW8id2qxbiht2FbLYixXbbfcm+rTMzM8dOTIAid1KSXfqFZ5U6m04AZ53vc5VCot+rTZ6eb6Sq3GnkIhm9NX63W8KMI1TQ4Ui1SCgAlVSm9CVjG513WZCsOkKIAkfXegWGx73Ktx3k43GllXArheKWkA95RKbRf2lSwo6ZhDpUVMiw9MZbx6VWnQ2mmYSoaRmcim43l6ZoafOnmSb9ZqTfYk7dq220IwbJoMm4nH14zvMxPHTeR7VmnIFiO7nRbaPFKfsTkV/SwJkUV8LMNgKiWfQrDFsnBMM+uB+dDLL2eWKkKlRNMG653OSeu5XWmUpCMREoJR1T6pl9/EbBhy3vPY6roL+sR2c/9bjHCm22k3ppUS1bW8N/cDabwR0MRM46bBjWgI3i1W+uSWhuvDOHFRH1H997o9lk77/3q1SskwrreAsqysqW8aOerlpn7R94lUOksCo6ZJJY6pxzFFw2B7GyuQbpp3t7u5tjZIfkn1tUybd6eNsKX6f5oWMpXdRGqsus22KVtW22tjpeft6ZkZvvullwAyH68gp+n61hbd0MPj4zxy8iQvK/1bQQh2qJ5+vRLCi76fkY28iP5kvY6pIl5pK6sURcNgh+tiSslmx+G7Nm7kF8+eXVBtmcIC7hkc5K9t2ULJMHhycpKCYTT93t43NtZkvTLj+03i+fzxr3SxTK+V88roNk2rp8d2e6HAi29964JrqpXUt45pLUjEapDvdPz5lOfBYrFj9G2p+99yCWev37tR9+Z+WgPWEosRM60x0+gr9JPHTDtBtyUEt3fZaul3p6czG4TUzqCX/pXtxMeXVDTFVwLntNpzSxyz0bb5wLFjmav5Jd/nA8eO8ZmDBzuai7Y6qcdSclG5pm+1bS6rti27SKJU3erjOulzDqiS+fSYXMPIFldQBqtSZv8vmyabbZsLQYBFcsOKgAtBwFwU8U/aRSZWWHX14OgoI2mFnxJQp0Qhr8oZMAxeqVYzHzWTJKpWl5LTnsdW5S/XzXylupfW4odURG8KwR7XJQTONRpZZSJAFMdM1Ou4hsHxRoNn5+Y67meP6/L1t7yFIcvKrCX2FottF+i8Hi4lJHn0oklajCSleqfUXDf1HxMkpsMv12rc/cILXPR95nLSgnoUYQjBWK7PZzqmtRKQr+Taav1NvKaig9uVz13JbN+qaan733LF+b1+LzOIjWOO5+6Hj5w8uar35ptBA7bW0D5mGn2FfvKYeXh8nNkw5HS9npmiBnHMlO8v6n8EyUL0SrVKpG5eaQ/NoEM1ZTtPoXYeQtNRxEbLyqJbaSRpOoq4FkVMB0FWHRfLpDXUI6dOtR1jOtdpY2vbMDJj0z3FIttdlz3FIrZhcD4I2notdRr7g6OjfGL//gU+TU/s29d0TGXDICbRzUmZ9DCMIKvIhCSy4JBErtK0XGoV8dTU1IJzkZ+32SDgaK3GiXqdGeV31Q1+cseOpPG5srtIsaWl6MGTkmuKIKRWE6klxHyPT/mpiH5fscgB1Wor3c+BgYGkT6X6k4dPQlbT3o6L4WIQMGLbGSlL99vJ/y5FJ7+zbgjJ0zMzvP/YMb48N8drnseX5+Z4/7FjC7zUXMPIqi4zyxRF0k7U6+x0HDaZJtNBwHnfZ9Cy2KJS761j6tWPsFusxNer9TcRk3TeyI8/lJKgZZ77xWMr9Uw7q7R+JglxfqVW6/p31S26uSZvZWhiptFXWMkCsNp4cHSULbadVFcJkVQYui4bLGvJG/yTk5OJRYRaAFND1wu+37HBd2oGebxa5aEjR3j/sWMMqgUlJTdl02SX62ZEypeSkCSCdlo9bRu5fZrAq7Va2zHm57qs0kEWiWapnItYHSwW2eY4bW+QnQxnH5+YyCIk+Sfe1sVpf6nEz+zezf5ikatRxO2FAptsOyFeauFLm3U3RYlIKlwv+j4PHTnSZJCZ7sMRgjNqTvKVod0sIo/t3cvP7N6NbRjUc9EyMzcuXyY+ZKEqUICEKBcMA5tEj5XX9HQy88y/N+P7zIZhtvDPhyG1KOK9W7bw1qEhpoKA9mczwd/csoVvUalWuN5ZIetPukzpSkpIpjyPb9ZqfKNa5bTncX+5vOR3Hzl5kitBkOjDSBbzK0HAIydPNm27bFlNbaZMEoIrgHoc83KtRiWO2WSaHCqV+J077sAxzbYkaa0e8Do9cPRCvlPC8Y7hYeyWMVqK4OfRLx5bewsFLiifwVTnJ0i6ddwIY9jXE9YllSmE+CHg54A7gLdKKb+Se+9R4MdI7r3/QEr5p+sxRo31Qb95zMzFcVvz0qVu8BONBttsm0mlGTJIFhw/jhccS/7pvhIEXApDIim5HMfMKFF0WjSQ6lTKpgnKisMguTlWVcWaqVJfQEIMc2PPo91cW8pDK49OC0Pa2aAaRRSMpJXSvJTUooh/fuYM21XVaGsaqV0K5bGW7ebTGJPK/DTfOildwKM4RgrRdh9PTk6yNQiYiaKsfZFN4qPUjcD5SLVKRNIUfYtlcSkMmQ4CAlX88PD4OI+cOsXlIMAnaR5uq8XKznnVLZZWA5qKRM4pomwAl9R5jKTkkYmJBeNM4yyx+vftxSK/degQT8/M8AMvv9zUszHd5oGBgY7HvRgeHB3lfXNzCzSTT01NLdlG59VGI3lISI1fc6+n205TV1M5jV1Bka60CMMk+f1cimOCanXRlNfeNhWQq0VwWq/flFh3q+tMH1iGVVEHkP3+umnVtF54eHyc73vppeT8KTuYGNihih40Vg/rFTF7GXgI+PP8i0KIQ8DfAO4Evgv4NSGEufDrGrcqVvpEutpYbgRvr4po7XIcHCNplWMKwaGBgQXHkn+6nwpDpLrhpb0j0z5yrenNi56XRECEYKtt46qFz5cSqSrWYqXraod2c/3o+HjHKEQeKdmYVw70jSjiQhhSVwtpTNKjcDltqFrTGIOm2eTM33Q2hMA1jLb7OFKtcjEIqCtBuSRJ+32jWuXu55/vGL1KI4C1KCJWWr25OGbMttnjuk2Npqd8P/tuTNK0OpCS4Zy2bLG02i+dPUsjDLkYBFnFbUjSAeFKGHJZ/Q2J6/8PjI7y41u3ssNx2FMo8MaBAbbZNhgGl5XXHsBP79qFo9LdaY/GzbbNE7fd1tU5aIdnKhX2uC53Dw7yhoEBxlQxyyOnTi3e2kfKhZG6ltfSc/6Hb3wjewoF9heL7M9dt46K0GRFIOq7nVJeq9lKaDEs1aJssc+mFcb5iHg3rZrWCw+OjnKoVMI0DEIll9hVKGAL0RcRvVsJ6xIxk1IeBRb0hAO+H/hPUkoPmBBCnADeCnzpxo5QYz2xWk7Ty8VST7Xd3ODTaJRjGOxX5M6Xkif27Vvw2byg2Mv5NKW/DlOly56cnORz99yTRQmO1+sUDYOtuarJCc8jhqxn4ohltd1ninZzfe/w8JLC25RspJ0NUhuGlDSl6bOpMKRs202i7F4r5Q6VSrw0P89MuLCZTyRlJv5uTVWlad52+Ga9zp0DAwsibXkS5auIlSQhYOVicYF7+gbLYijXYgmSVk75gou8mWfqsO8IwbFajbrSBrazsYDECNYxDP7xzp38xPbtDFoWRdNs8tpLK/mmg4DPz87y+dlZ3jgwwE/v2tWxqf1y0M6UNJCSE9UqtxeLHUX2BwYGeKVaTXqfqkhLBBxqE73LGxS/Uq9n11MMTX1i3YVrR9vtrLWAvJdipbafBUYdhxdbKlv7gYi1wxO33da2YrIfInq3EvqtKnMH8Fzu/+fUawsghPgg8EGAXbt2rf3INF4XaE071Vqearu9waepn1YX8nbfy6cUHXG9j5ytFp/WPnIpmWotvy/bNtvimHkp2WBZy16M8mQtJQAfOn68iUi1djZIYx9Z2kk0N0mvxTFDhrEgpfdXX3qJhvqeJQR/fdMmfuvOOxfMz0NHjmSpu4DrOiRLiIyUtkYyF1u8fSkTo9o45mIQ8NDLL/OOcpkj1So7VeGBaxhZ9Wv+OFrd04VpZmNo10txt+vymufhCMG1OGZekbGgNYrUAgt4w8AA9Sji/1Qq/EzO/y49R3e/8AIzQZB0GsjNyzdqNV6dnExS4Kvk/dSuIvGC7+OoiCW0JyZP3HZbU7WwbRhssqxFo3fzykftnOdRj+Os40FRfXejZS2ZPrwRD3i9OOh3+uwr1WrXqdD1hq6YvDFYM2ImhPgzYGubt35aSvmHnb7W5rW2dy8p5aeAT0HiY7asQWrclFhLk8NenmqXGuNTU1NstW0GXJdaHHfU4+RvdlfDMCODBklEKN9HLt12qoHK2wfUlD3D76zQJHJB5wPTXKAVSxfptKIzbV1kklRUTiuxt2MYWRrJMYymuZ3yvCYheyglv335Mhw50kTOHhwdTdrekBCqQaVnm4miZMGWsu2T+6FSianZ2Y7zUAmCzMw1lpILnsdcFHHJ9xlzXcYsiwnPy6wyjtZqDJkmH7v9dqCzdcIu12UuDKmGIV+dn2fUtnlubi6LqOUxoLzJBMnNOPVps0k0Vqaar04anldrtcSmo8220xT4UhqwbtFW/xnH7M4ZHafHlB/vg6OjfObgwa4X8/xvcKttJx0fZNINYIfjMBuGTKnKwLXopdgLerHPGDYMjtRq2fXkqmOsxvGCVOh6HEu3WO+MxusBa6Yxk1J+h5TyjW3+dCJlkETI8jHRncBrazVGjZsPvWg6loNuq7kWq7KDxXVF7ZBqZS7edx8/q6oBQ5KoWeqA/vD4eNPxt9oHdKNHWWr+8u9XU41VG61YVqUXBInWTWHEsrJWUYaKpKTjmlMLeoqrOe1eWj0I8J+npxeM+85SiZ2uy12lEgeKRbYXCmyxLAaVsW67Y394fBynQ9RMACc9LzOOLZgmJdNkk20zHUWJNkl9VubGlt9aOgfzYUgYJ62O5sKQfcUiP3r0KG/66lf53pdf5vemp5tI2aBh8H2jo/yXQ4f45lvfyk+Nj2c2IQZkbafSFO2imkZV3JFqyfKwDIMwjletYq6dJvHQwEDbKsIhw2j6fQBd2x/kf4Nl2850mo04ZpvrssW22WBZq26FsRx0q2V7emaGSc/DUw9akqTKeCYMKUFfHItG/6DfUpl/BPyOEOJjwHZgP/D8+g5Jo5+w1ga0+Sfg1h6XqT9XN+aVK2kSnDbWbhdheODw4abjH3NdBntwYF9q/lo1VpZhEEm5QCuWr9KLpKRoGLhANY6zlk2fOnCg2ZG/TaVcO7Rrpt0uWrNUdPDB0VF+etcufv7s2WybaUVn2tYo7ccp4piXqlUcISgIwTbX5Utzc7iGwXZlUwJJtdwvnT3Lu0dGeMvQEI+Mj/Oxc+c41WhkXmKfuXixaRw7HId3lsu8s1zm3SMjbHccSqZJUW3zF/ft410jIwuilMOWtaRo/UChwNEOdiixlBRW2QOrXUVi63lJNW++lE2/j/fNzfFMpbJkpLs1ClW27aaeoys1u11NdJvae3JyEk9V7aZRcEiuP69lm/3iW6axflgvu4y/AvwqsBn4H0KIw1LK75RSHhFC/BfgFZLipL8npeyki9W4ybGclORKCE83SAnAfBBkffsMIRgUIiNfncjNIydPZsczG4aEUjLWxvyyG3RKF6z0+Jf6fv591zAIVAugVo3V0zMzfPz8eSK1+Kc9Nltb4uS1M2kDaFoiZ60xLatNlCuv2bsWhgx10Oy1u6b+8I1vzBbOq6qK1JOS+ej6rSVUx+HHMaFh8PD4OB86fjybi9QawJSSo7UaT5w5w7OVCs9fu7aganfAMHjb8DD3DQ/znpERDg0MMKha7FhG+yRFO11fN2m/J/bt4/3HjjEbhk1ROVtpzkZse00r5toRE0fNY/73MR8EfHRykj2uu2jK7umZGWZ8nxOqVdE2x8FWusuUnO4tFDherVKJYzxlTFs2DPaXSmt2nIuhm9Reas5qG0amHZVS0shVmKboxbi3H3oKa6w+dK9MjXVBt/3QWm8+a9mzL7/PvD9XK+nIRN85AjGrWhfdrir3Lvk+F4OArcoDayX93vJzMBuGDAqx7AbmSzUIbmqcHkWcbTRA6cPSRtnvGxvjqakpzjYaGQGQwC7HaerZ2e785nswVsOQS20qLf/m5s0LCgC6uV66+Uy+12ElCDipGqZDovmRwBbLYt/AAJGUXPB9bCGoRlEm2m9X6TlgGLy7XOaHx8Z4x/AwG22bkmFQWCI6uBpIr4+vzc1xTenVikbvvVlXC+36SX6zVsOTkjflyFPrdZs/f0EccyEI8OOYQ6UST9x2W3YMj09M8JEzZ5K0r4pAxcDP7N7NY7kCibXAcsnQA4cP8+W5OWJVmQqJfhSStHW+YXy3zcRfD/0kb2Us1itTO/9r3HCkxOdso8F55RHVTlvRTg91KQi4mnNGXwt/ogdHk16Jdw0MJK1xVNQrjSy18za7EARZdZpQxGmrbTMfRSvyI2qdg0HT5KKK5nVz/K1auPvL5SZNzJTncdrzssqw/PvDhtFWK/ZMpZJZZaRtoVJrjKVa4jxTqWRao6l3vpO/uXlzFiGzhGhLyqA7zV43n2nqdmDbma0HJFGm7bbNsGnySrXKBttm0vM4Vq8z6ftczZGyYdNkwDDYbFm8oVBgu+NwrFZjo2Wxf2CA5+fm+O6XXurs7bWKSPWJs+9+N//9rrt498gImx2H/cXiuizU7X4fjTheUCXbGunNn78R2+aOgQFuLxYZte2mY3imUmGr6+KaJhHgmiZbXZdnKpU1Pa6V6FsfHh9n2DQJpSSK48xjcMSyeHR8vGffsrVqOaXRH+g3jZnGOuBGhsTTm1s1irDF9R6SuwoFhhe5UcP1CknHMBi17TUt116s2qpjdVpL+mGL42BHEafe/vZlj6N1DtLU6HwUYS9h39FOC/fU1FQWtUr1TIOqcvILs7N8aW6OHxwd5bUg4HSjwf5icYFWLE3xpVYZqM4GjVxlZD4NmKJdyvW37ryT3+piHpZKwT49M8OXKpUktWpebwDeus/03MkwpKCqRAMp2WJZYBhciSLO+j4x8MctC+6wafIdGzbwvq1b+eiZM0wHAUOmmUVAqlHEx86dw1Rp71YNYrcaq5WgHyrmeukoMWSaWbr7ou+zw7Yh97l218xEo8EWy2qSCXTTjWOlWIm+Na1MfeTUqaRFmhDcUSzyxL59PDja3DC+G6y1pENjfaGJ2esc3QjZVxPpzS3V86RO3lO+j6XczFN0uvlcjSJevPfeVR8bdLaKyNsxLKaryWM1WsC0m4MtloUtxJKEr9NCkkatHjh8mOP1Opd8P2vrFMYxvzszw+/deWfH899qlZEvkEif9hdribOcB4HFiHJ6DRsqFZkn+xawp1BI9DyqctIRgpP1emJUahhIKXmtTUr1tkKB+8pl3lUu87ahITYp0X7JMPiHJ04sSNelC2O7eZ/3vK40Vt2in/VF7X4fP7xlC09NTTW1GpoNw6xN2UbT5BJwVuk6O3nTQW8WFauJlZKh1STN6zUH/Xzd3UrQxOx1jrWucmxFZkxqWZzN9ZGsRxFXwxDHMNj73HPsVRG0Wk5EDO1vPqt1s8iT1B2Ogx2GXPJ9poIA0zCaWhu13mQfn5hY0EfQEaKrFGu78UNybi76PpegqTKw2xtwN0L/2SBIrCoUwTCFwI9j3nv0KCOW1XY+8xGRYcPAcpwF+pZOPU/vL5eX9SCwWA/V9BrerjyvAISUnG802OI4vH/rVk7UavzmpUv863PnEoE/iS4uzJFpQdJ4/C9v3Mj7t21jb6GQEDHTpGgYTSRssYWx3bzPRhFhiyB+ub+zG/0wtRx001EiNVNO52S763K6Xue1IGA4p8ts/Q2tVz/d9SJD7bAec3AzXHe3CrT4/3WOdkLd1L18JSm4TmgSlwcBU2FII46xhWDYNBlR1Wv5J+oNudeuhiFjjsNcFDVV+q2GCLZVGF+JIk6r6rCDxeKiBQr5RtSeauWTNh5fDO1EvPnjDuKYs0qgvlv1pev2+NoJ/ac8j3mlbZkNQ66FIW6uUjBQpMUSgrsGBpYsylgsndzuM0+2iaR1W7zQaZ95+4Srqgl8Gr380a1bmQ4C/mJujstBsGCbrhBssm0+dvvt3FUqMWxZlJSmrtWfq3UsncTX7Y7xG9UqrhC8IdeGaLm/s6UKOG4WtLv3zIYh5z2Pba67ZJr+RrvP95vg/kbPwa1y3fULFhP/64jZ6xw3+imwKdpiWViGkbi5m+aCEnto1pMNGUbij5Rz/P7o5CSbTJMNqkpxJZGI1kjHlO9jklgppALbdttOIzYbXJcx9VpVpQyX0o60i1ieVYatO10XTBNB0tT6vOfxjnK56xtw61N1vlJ0o2kSRhGzJFYYjqquDEkqggoqQtTpmLtJy7T7TLfas262F0nJtTBkh+pK4BoGUgiKhpH1HP10i6eYJUTSOUAVUpjAtTjmL4+OMtASFUvRKSK7mH9VazTDFIKRnCYKlv87u1X0Re3uPbYQvKNcXnKhXw8tXb+1I7rRc3CrXHc3AzQx62PciHz+jQ6Jd7q5dVqw83qyBw4fbkp9lEyTMI6ZhYwQpd9bTv+51oXCi2OEEE0RpU5i5OXesNo2ho5jYuDVej3zaRo2DGbjmAmlYYKl0wetcz0vJVtdNxNNj7lukkJWJMZVQngz5zqfHstq9fNbyYOAlJI/mJ7mlycnOeN5bLdtvnfTJnYVCnz12rXMVT0PAZnIf4NlIaRk0LIwRNLLsx7H7CsWO5reLpW+aTcH3Wqslvs766eU2kqwXinJlSA93+l9udvf4q2AW+W6uxmgiVmf4kbl89fjKbDdgraYWDxFOxJTMIwFBo2XfJ9KFPXcf651obBU1WiepCwmRg7jmKkwxItjLCG4vYsbVvZdkgidF8ekCTc/jjFJ9HfXSIhTt8fTSuo/uX8/Hzp+HJNmwrfFcbCiiEOlUmbAOiiuNwYHuBSGy5rPduh1MW5EEbU4phpF/OmVK/zsxASRlPhS8jXP4/n5+QXfMUgiL4Ik2mkAA6aZVJ/GMYGUDAjRFRFYrgazG43Vcn9nNyOhaYd+iUD18gD8etZZ3SrX3c0ArTHrU9wK+fzl3vDaGZJm5qqm2VQmPxUETAdBk0Hjac9jk203fa6buXt6ZqapnH2rbVOP4yaNW15Tkq/gvBIExCjXeimJgE22zWcOHlzSKPIDx44xHQSYAEJkRNMWAlsIGiqCVjQMDimN0mLH02kuYyk553lYQmAIQSwloZQcKpWyqGS77572PDaZZs+mtp3O/2LaGC+OqSkyVo8iAik5Uq3yhUqFz1y82OTWn8ISggc3buSd5TL3DQ/z/S+/TCUMMSGr1IykZKNt81nVTPuVahVPSlwhOFQqdW4PdIM1mN1iPTRWK0U/VvT1qhu7Fe7LK8HNeN31K7TG7CbEaubz1+OG2OuTZbun57ywP9VEpQ2zUzd9R4nsUzf5PYUCV8Mw8aXKYam5y4/3UE70/qHt25u2nScX+QrO2TBMei4CReWjZanjWSqyssW2mYsiQilxDYNIkY9Yyqx60OG6U3glCLgYBJyo13ng8OEF5/PJyUl8KbkcBNdb1lgWV4Pgeo9IlfYTALmHs3bn4UoYssVxlj2fi6UAgzimFsdc8Dxqynjzou/zbKXCs5UKX6pUmG0hY0Lt3yIhcr6UXPZ9djgObxoczKJkpkpBCzWXnpRNGrANajFe7Nrs1/RNP/iV9YJ+jTT1GhFd7L7cj8RztXGzXXc3KzQx61Os1oKwXjfE5aSAWn/07Rp2gzJXFaKJKOVF9u2eapeau6U8v5b6vARckmKFA8Vi8lqXppdzcczBYpG5MGQqDElpiAHcVSolqccowjUMKkGQWEKo3o7tzmcawTOFyNKxU55HBOx1XS6pdKtrGGyxLK61+K+1Ow+LzWe7BanTfP6Ls2e5r1zOomKhlNSjiBeuXeOLlQrPzs1xol5fMEd7CgXqUQRSssG2qYUhF1SVZVEIZsOQx06fZqNt4xoGdUXyDJKm5QiROc/3cm3eqPTNrb6o32hbnm7R6wNwp/vykGn2fJ+91c+5xvKhWzL1KR4eH29qnbPc1kPr1bpjotFoalQNvUf82m1ji+OwwbI49fa387l77ml7I0vnbioI+Gatxovz85z2PO4vl1dtvK2fdw0jSUPmSE63RHpvocAl3+es7+PHMTYJ0YtJenCWDYMYKFsWF4MgiXAJwVbXbXs+PRW5S73JDKW3MoTAVsTxrlKJA8UinrIgWax10GLXYqc2NUeqVQaUeWskJYHSy52s17ngebxw7Ro/dfIk9371q9zz1a/y46++yq9PTWWkzAQKQrDXdfnFvXv50ze9iV/YuzdpwyMlM2GIIOkzuE35jaXzcGepxBbLwjEMIhKyvMWyOKT6NPZyrh8cHeUT+/f33DKnF6yk1c/NgtW4H6wF2rWPWux32+m3gJQ93WdfD+dcY/nQxKxPsVoLwnrdEHu94a3mNh4cHeV9Y2NMBwGeiixtMk2emprqeOPrdV+tnx+zLGIpsYTomUg/PD7OtIoGmUr/ZQmBIwTng4D9pRI/s3s3+4tFGnGMYxjsKhQyw9nW8+kIAUJkhKgex/gobVSuz+iU53ExCBg0zUUXh8WuxVbin6YYU5d9T0oClUa8HAQ04ph3HT7M9738Mv9tepq5XJrSEYJ7BwfZbFnschxuKxQQwL977TWOVKt8YNs2/u2BA+wsFPCk7DgPD4+P45gmOxyHNw4MsMNxcEwzOxe9nusHR0ez/p6dHgZWgtdD38PVuB+sBXp9AO70W5iL457us6+Hc66xfOhUZh9jNfL566WRWY0UUC/baE0LzKiCgFaRbqfUSa/jXVDBaRhstG3GHIerS/SwbMWDo6OUTZMq4Cud2U7HYVjZhaSp1MfoLk17Z6nE8WqV6TAkINFYWSSRI0FCgK5G0QL7jMXSS52uxVP1OhvMpDlzLGVWAGEBc1HEjDIQbrQpMjKBIeUnVjJNgjjmWL3OFtvOPMaKpkk1ivjV8+f5K5s3Z+NYbB6Wqvbrt+qym8EfqrUw5kChkPV57Ab9NucpllMZutyq8jxuhnOusX7QEbNbHKuVEu0VqxHxa92GYxgMGgYfOn68Ke3WLi3wSrVK0EIGFrvx9Tredp//7MGDvHjvvcuKrBwqldjpulmKsWyabW/sS6UVHzh8mFeqVaajKNG9KW2VIQTbXZcRy2LUcTj19rczYlkLiiQCKflSpbJoatOLY64qw9utqgtDKCX1OGYmCDjtecxGEZfDkNkoykiZLQTvLpd5dNcuttg2BwoFdqgxuUIwZJrUooiyaWIJkVVCtjtv7eZhNgyZ8X32PvccT05O8vD4eNtzcSPSk72gX6NJKdLK4Veq1aRoREqO1mq8/9ixrlNv/TbnrWNbaUS01/tsv59zjfWFtst4HeBWKHHutQXO0VoNgDtyLXBuVFl7t6Le/OeGDYNLQdDUkqpT2X678wk0zc+lMOSc52GSeHiNOQ5l02yyeui2BdW/uv123j0ykgn20+rQ+SjiP1y4wG9cvJg57bfiDcUi71SNwN88NISronbvO3aMad8njmMuRVHm/SaA8TaRznbnLT8PQ6bJlO93tDbpZ/Rbq59WPHD4MF+emyOWMtMtRirt/rbh4deFTcRiyNvmdGPBkn6nn8+5xtpjMbsMTcw0bgos5h+UpgXyXlPnGw0uhiEWSWot9bI6NDDQUwqmV3R7w233ubQP6LUeU6HQfn6WIqetYzhWrxPEMbschyHbJpaS+Shis+PwG3fcQaQ8xVIri8Pz87S6illC8ObBQX5w82a+bXg4s9mwlI6mZBgMmCZ/euUK7z92jCtBkCz2yvtt0DAomGZXBDWPu59/nhONRmY5Mqbafd0s/lL9+PCUjunPZ2eJSKKvpvqNSXW+drjuuvq5rTdWQrD68Zxr3DhoHzONmx6LaTJadXSVIGAmDHEAwzBoxDGCRKDvS9mVXchyS9m7tQVo+zlg1LYzs9de0G5+ttk2ZzyvYxugVF/zS2fPMtFoEEnJNsehYFlZGtgUgldrNX7yxAn+Ym6O2bA5LpYSsfvKZd5ZLnNoYCCrAi2oZuAl02xqa5Xuu6iqJgMpMYEttk3ZsnCEYNRxOi5Yrefm/nKZV2o1TCEwSTomnPV9xtU2bgb0mz9UnnAUVccEX0ockmsi1RK+3lNvK7EB6bdzrtE/0MRMo6/QiRAtVsTQKix+LQiQwO5ikSnfBxUxq0rJji5unCvxfutW1Lva4t9hFfEKVYpJKld/xzBwVBFBOlfftXFjkpaMIu4slfh3b3gDAD969ChTnsd8FGV/0i4Ef3LlSrav3a7LOxURe+vwMIPqOEwhKCkyNmCaWXSlHZ6emeGc52GrnpUxMBOGDBgGnhC82CHK1e7cfHRyElORQaHIWSQlF4KAtw0PL2s+X+/IE46tts1p1TYsJWexlIxY1rqL99cbWsSvsRbQxEyjb7AYIVqsqqu1siqWkt3KRuGs0i5JKTOPsaVunCt5Cu62CnY1q2WfnpnhUhDgq+Pz02gXsNE0mY8iPr5vH+9SOrET9XrW7FtKyYl6nWcrFa5FEad9f8H2bSF4z8hIQsaGhxnPjdE1jIyMFVsWqMXw5OQkjmEQS9kTmWp3biIVcYuTA8pSo+tR9XermIbmCUfZttkDnFN2J0II7igWe5YE3Cpzk0e/dobQuLmhiZnGsrDSm2wvbvFPTk7yuXvuWbSsPZ8WSPVWkBCHII6TCkWVTlvqxplflCpRxJTv04iirO3KYsfZrS3AatoHPDk5yYhlMWhZTNTrWdslG9hg21SjiI+ePculIODTFy5wptFg0DTZ4jicrNeZCoK227VI7CwGDIO/tnkz7xkZSdohKa3YoGliGUsXdrc71xONBtsch0nP64lMtYtQuKqf6B4VIfXiGMsweEOxeEMX/n5tO7QctBKOsm2vSLN3K81NHv1qA7KauBUJdb9Di/81esZKK4o6fX8+itjpOCtuGJ3ffiAlZxoNBLDLdbENY8lqxy/NzWEAI5bFdBBgkBAdUwi2Os6Sx9mtqHe1xL97n3uODYaBFIIj1WqWyoyBAwMDxHHM+SBAKuLjtfnNpw3TYykZMgy25BqW11XBwJ/efTcDhtF0fpZCp3M9aJr4qpIzI1NCcHuxuKjGrl2Rw5TnMR1FTY3sV6vCrZdFabUaXPfDQrjaVYP92vx7Neb6VhbxL1akNBdFXc9ZP1zT/QZdlamxqljpTbbT9y8GAVtte1Vu3q1WCkjJtZwmrR0py8hcHHPW8whIokam0qjtcpy+qfQLVfPvehzzAy+9xCXfp2ianG40COKYmKQFk2sYzCtPszwEScujQdPEEIIBISiaJt+s1zGAHY5D2bZJz0Sv5DhFp3PtCMG8akLfy8LfiTC8b2ysbbP5laBXcrL3uecWVAf3+mDRTzYKq0k4VmNuVhv9NNf9igWWOkHAGc/DbrHUWWzO9Dy3h67K1FhVtEsn5Y1Jl3oi6iSYdYVI9FEtaYH7y2UeOHw48/tCiCWf1nqteGpKo5omAjipGn8Xlf1C2ba7bkzeDsvxN0s/939t2MAfTk/z8XPnON1osNN1+bFt23jPyAgf2LaNn5uYoBpFCCBTiUmJHzUbWljABtNkk+MggBONBjsdhwFF0IqGgRfHzEQRo8rqoqoKB5ZzXJ3O9dUo4pPKg66XhX8xp/bHFv1m7+hVa7gaeqN+ava9mlWD/ajF6qe57le0/n6nwhBDCEKlDe1mzvQ89w5NzDR6xgJ7iijiTKOBYxhd6Uc63aRTU8b8ont/ucxTU1M4QmAqx3EJ7FbbWC2dSusNqGzblFSvzQPFYtM4lyvQ70Zjk37OBsqGwWSjwd/55jf5gU2b+P3paRwhKJsmlzyPf3bqFN9WLnPe97kYBMQt+zSAkmEgIYuiAcxGEcUowjYMhJSUTRNDacW2ui5n6nUacYyUcknNzFLHtdiCvNyF/0bZDPRacbcaeqPF9nkzp4P6UYulKyqXRuvv14tjhJS4uXlbas70PPcO3ZJJo2e0th95zfMQwHbb7qoh72LtS1rbozxTqWRPW5fU05olBJeCYFUb/7ZrkTJi25hCrEo7q6WaFkspqUURv3DmDEJKLMMgJClYsIXg16emMICGlJz3fc76PpfCkD+YmeGFa9cyX6l7h4b4yZ07+W+HDnHk3ns5VCqxxbYZU5oxgySNOR2GSOANpRL1nJyhbJqMKef9blrnLHVc69USbDWwnGbnK2071GmfQ4axoO1Yu4bzNxJpC7DF2nel6MeWTP3YFqmXOb0RaP39WkIQAWMqmg5Lz1k/znO/Q0fMNHrGAnsKEmF9WTXDhi76UtJd4+D805YXx5gkXlXdWl90i3ZP9I4QPDo+3rV2qZeUnpSSghCcrNc512hQV5WjpxsNyupzsYpYXYui7E8rLOCvbdnCO8tl3pbzFIOEhJ33fUaVp5hjGEz5PrUoIohjqlHEoGFkprH54/6dO+7oatFc6mm49VwPmSaOlHzo+HH2qn6W/Rr1WU6UZ6XRvE77dAyjr9JBy6my7DdD1X6L4vVj5Wrr7/f2QoFLQYAFXUXUof/m+WaAFv+/jtGOSAA9p0vWsuIqv+1X63V85eJvGwYHisVVrexaidh5KYHrA4cPc77RoGiaxKpisp5rdwTJje6HjhzhvOclT6mKrOVhkCzKg4aBpRqTp98HssW7ZJoUDYNvf/HFJfthrnYrqMV6W95sIuD1qLhrt88PHT/eV+L59a6yXK207o08v0uNeb3ntFssZ85u5crV5aLvqjKFED8E/BxwB/BWKeVX1Ot7gKPAN9VHn5NS/sRS29PErHd0KoMW0HOfwrVccNtVS6YaM1sVC6z2wr6cm367m+p8GLLFdfnPhw7x9MwMP3v6NI4QFFSbKF9K/rEiw89WKnxxbo6LHQxe7y6VEv8xw6Bomtn3f3bPHr5r48aErJkmdouvWKd+mLtzEc6V3Px7Ofc3y8LTj+i3uVvPKsubleAvNeZ+rFzVWDssRszWS2P2MvAQ8Odt3jsppbxH/VmSlGksD+20QdeiiLko6qgX6oRe9COPT0yw4dlnsZ55hg3PPsvjExMLPpPXWTw5Ocn7xsbY5rrEQnDHwACHSiViWBOdSnoD7VXLM9FoUBSCSEqCOE7SrkIwUa9zLYp458gIj+3Zwybb5rIqKrANg3988iQ/efIkvzs9nZGyEdNkk2Wx0TR5c6nEJ/fv57cPHeIXbruNLa7LXBSx1XX5ldtv5wPbtrGzUGCDbS8gZbDw3PSadl4KvZz7iUaDgZYxahFwd+g3rd566oaW0jX2I7oZs9ZiaaRYF42ZlPIo0JNRpcbqop02KJSS1ghqtwtnN/qRxycm+MiZMxgkKbdaGPKRM2cAeGzvXqC9zuKpqak1fxrOzGUrFQwhkkIGlRLspOWJlGC/Fsdste3MSyxFI47Z4bqc8zyerVR4tlLhlXqd+RatmCMEbx0a4r5ymfvKZQ4Uiwt+G65h8NDmzfzI2BiFHlofQeeuCClWevPvVjvUj5YJNwt60WXeCKynbuhmrPLrZsxai6WRoh/F/3uFEF8H5oB/JqX8wnoP6FZEu0XSEgJaCMFqLpwfP38eA7I2PpYQhHHMx8+fz4jZenje5MlgJCUSOOv77CKxzUhvoLGU1OM4I2Ne7un2A9u28fjp0xBFeHHMpSAgBCZ9n29/8cUF+9xfLHLf8DDvLJe5d3iYQkskyUC1PlLtj7ppfdTp2PJp2dR+ZD1u/nrhWRn6STy/nkTxZiT43Yy538i3xvphzYiZEOLPgK1t3vppKeUfdvjaBWCXlHJGCPGtwB8IIe6UUs612f4HgQ8C7Nq1a7WGva64kT5F7RbJIWWsWl2jhfNaGCaWDzlRuwT8MGTwz/+czbbNpOdRNAy2um5WnbjWT8N5MlgwTQJFuC4GAUOWxbUowgW+7Wtf45znNZm7QlI9ucm2uXd4mP955Qr1HGELVASyZBi8Z2SE+8pl3lkuszVXbv752Vk+feEC5zyPPYUC/3h8nB/YtKljRLkXo9p20ce1cMnvZmx64bm1sF5E8WYk+N2OuZ/It8b6YV2rMoUQzwD/Xyr+7/X9FLeC+H89BK3tKmVg7RbO0p//OTVVVdnpqrNJfLYQgl2FAmXTXHORc150ezUMmVS9NSUw7rpUlKP+sGlmwv16HPNdo6NcDgL+olLhirKcyGMgbfQN7HRdfvPQoab3BfDc3Bw/MzFBQRHDpc57P4vtb0ZRtsbNiZuxyu9mHLPG2uGmackkhNgMXJFSRkKI24D9wKl1HtYNwXqk8Do9na3V/sZsm4kWfVOKlAhFqJSqlFz0PCzXXdOnYT+O2ek4XPB9CoZBUfXCvOT7xMBmx8EOQ7woIgKmgoD5KMKTks9evNi0rZ2uy9UgYINlMai8wyCprHpNCfut1M7CMBgwTf7Oq69SNIyuz3sv18mN1uLo1isaNwo3Y2TpZhyzxvpgXYiZEOKvAL8KbAb+hxDisJTyO4F3A48LIUKSNfonpJRX1mOMNxo3ehFdj/YuUgi22TaXgoBWq9Q0ghaTNAu/GAQ04phtrrtgbCsZe6Caf9eiiHocE0rJj27dyuOnTyemr4aBBYxaFh/cvh1PSn55chJfac/yEMD9IyO8q1zGEYI/npnhkucxHQQYUjKkKh89pSXZXSjgtmjFej3vvXz+RmtxbkZRtoaGhka/YV3sMqSUvy+l3CmldKWUY4qUIaX8XSnlnVLKu6WUb5ZS/vF6jG89cCNLpfOWECbw5bk5vu+ll7j7+efXtAXI3kKBsmVxz+Agi9UVVlVfR6uNxqpXO4tISq6FIVO+z0S9zkSjwZTvcy2KCFUa/z3KymKDbXMxCLgWx9Sk5GfPnOEXz57Fy5GygmGwybLYZtu8ZXCQf3vgADtdl3/72mtc9n3GHIdASl4LAmphSBjHSCH4p7t3LyBl6Zz0ct57+XxqsTDleXyzVuMb1SqnPY/7y+W2214plnMN91sLGg0NDY31hu6V2Se4kT5FacopBCY9j1hKTCE40WgsIDmruXDmj3FLzkerFReDAD+O2WBZC0jjkyp6dd73eblW47zv40uZ+QHFUjIfhlzyfU7X65ys17ng+1TCkEBKPj87y48ePcoDhw/zI6+8wmcuXOBfnzvHJ8+f5+vz81wJQy4HAVeVZmyzbfOO4WE2mia7HYfbXJdhlab88e3bAfj0hQs4QjBommyybfYUCjiGwYUwZHuhsKjGqtfz3u7zs2HIjO8vOEcPjo7yvrExLoUh83FMoOxQ/s1rr60JAer1WJbrGaehoaFxK0O3ZOoj3ChxaCp2P95oEMQxhhBIKYmA2wqFTBy+FmLu/DGeVX02JckTggmE6v/bHSdJCar/m0Kw1XG4EgRUowhTCAwhiOKYCNhgWXzlLW+h0RKxyePzs7M8NjFBKCVeHGeRuTwcIXjL0BDvVNWTqadYWjl53vPYoaoyU8f9N3/lK4xaVlvH7k/u379k2rXX857//JBpMuX7bOjQreHuF17glWoVS81XLCWhlBwqlXjx3nt7OXVdoZdj6Tc3e43XF9ZDzqGhkaLvWjKtNm4VYrba6HTjSRfEE8qbK5+mu6NYzFqArPXC2br9ShBwUrVcMgFDCOwW0ni8Xk+80ITIxh1JScE0+cq3fuuCfVSjiBeuXePZSoX/eukSjTbXe8Ew+OubNyeeYkNDTSaxeaR9KtM/qbi/0zw5QjCvmoKvVZXiUueo+PnPI6XEzKVRozhGCEH9Pe9ZlTEsF7oFjcZ6QVcQa6w3bpqqTI3VQzsPqw8fP84nSFJOHzh2LNNYpRWRfhxzKQzZXywCay/mznv7pH0wIbHMCEnSkkKN0VGi/IiEIIVSYkAW8XLU4h5LyTdrNb6gnPa/Nj+feYmlMCHrLVkSgrqU/NPdu9uOsbUpeDtvsU4eRY5hrHmV4pLnqJ0XWhsj4fXAzWgUqnFrQFcQa/QztMbsFsVivdkeHB1li23j5hZnm4SwTAcB95fLPHD4MBd9n2P1OhXVQqgSBByr17ngeasi1M73WTwfBNiGwValPZPqj6/+3qg8voZMk42WhWMYxCSErWyajFgWD588ybsOH+YHjhzhl8+d48vXrhFIiQl8y+AgOxyH7bbNG4pFxl2XDZZFBOxw3WxMgoTYbFZasT3FIpsdh4GWyE6n48j3i5xTRC2P1a5SXEpwf6BQIJYy6Wig/o6l5EAfkJ9+6/+o8fqB7tuq0c/QEbNbFGkkpRJFTPk+nkqppaL2uTjmzoEB5sKQqTDM3jeBp6amcIRgh21z1vM4Xa+zybaZCQJiwBaCL8zO8qW5OR4dH8/aKS0HD46O8u0bNnD7l79M2TBACGwSv7DU8WyrbWMZBr6U/O2xMX7v8mWGTRPfMLgWRVTjmOko4mTuprrDcTKd2NuHhxm2LD4/O8vjp0/TiOPMKNaXkg9u307ZsjJvMWMZ0aR2HkV7JyfXPCK0lKP4E/v28f5jx7IqVEsIRiyLJ/btW9b+VlOXozsBaKwXdLRWo5+hidktir1Kj3XJ9zNNlh/HhCSLa3pjKts2ZRWlqkYRF4PgeohftWh6LQi4FASJ3ktt3zEMwjjmo5OT3Ds83NNi2s5LbLvjcFk1AR+ybYZsm2nfpyYlMTBoWRwaGOClapXLYYjfptn621TvyfuGh9lTKCyIcKW2GJ++cIHXfJ/dyiPt+zZvzj6zmsTjRrSOWYrcPDg6ymcPHlwV8rNYenwl5EwTMY0bjZuxrZPG6wda/H+L4umZGR46coQ4jjGFyKoft1gW+0ul7MbUKn6djyJ2Os4CQfY3qlUKhpFou3KO9iHwznJ50WKAsIWItWq+gCya5QhBwTCoRhHX4pg7SyVO1eucV875eRwaGEiIWLnMmwcHcRZp9G2q42wV7rfOWbeC4F76Vd4qESFdRalxK+FW+m1q3HzQ4v/XIR4cHWXYNKkBvpS4hsGYZTFsWZxuNDpGWp7skH4btCzmw7CJ/MSAK8QCXUYkJbUoohbH1JVuaClESsx/xvMyEgnwhUol+8wm2+Y+FRX7tnKZTYt4oQG4hkFJ9assdKi0zKNbQXAvkaNbKSKknf01biXcSr9NjVsLmpjdwrizVGob4Uh1FJ1uTO1C/D+5YwcfnZwkbInAjZgmu12X+TCkriJj3iJeYnm85nk8W6nw+9PTfH1+fkHLI0sI7h0a4r5ymXeVy7xBeYp1ggEMpHYWhoGlSGS30a1uicfrtaJL63I0NDQ01h6amN3CWI6OYinN0kcnJwniGFcIhk0TwzC4q1TiO158kXOex05lvvqekZEF264pT7EvVCp8sVLhVJtIS+qg7wA7CwV+/eDBRY9xKTuLXqJb3RKPdgQukJIvVSrsfe65W9asUutyNDQ0NNYeWmN2i6OTjqIXjdQvnT3LkWqVahTRUIa0JrCvWOT/3rCB35+ezrRhaaXjY3v28O5ymW/W65mn2FeVfUUew6aZtV8aNM0sVSqlZC6K+N8t2iWBioopvZi9iK4MetNFdasxW2CMG0WcrtdxDIODxWLfmVWuZkGD1uVoaGhorBza+f8Ww0oX2m4ISCOK+KPpaR4+dQovipgOQyL1/TTMWrYsNtk2QRxnbvmhlFwJAiQghOByEDTt2wDuHhzMrCzuKpV4/7FjWUVminoUsdlx+I077sDORcUGOpi8dkKv7vLdEI/W+TtWrxPEMbtdt6nCtR9E8drhXENDQ6P/oMX/txDyC60JWZPvQwMDPLFvX1eLbTuNlAxDfvHMGe4eHKQWRcTAx86dwwJmVD/KFBHJhVONIubCkO2Ow5TvM68iaq1IPcXuK5d5h/IUy+PHtm3j8dOnIYqyqFsI/L/j41lD8OWiV13UUoLglLhVo4grUuIqvd2uHCmD/hHFv171cP0I3ZtRQ0OjG2hidpMhXWhDYNLzkubfQnCi0ejaU2qi0WCDYWQu8LHaxulGg/noOgU753mUVaoxj9SV31NpzTMtVhYCKJsmf2/HDt5ZLrO3jadYHu8ZGeGf79nDpy9e5LznsbdQ4J/s2rUqi1aqi5r3PGajCE9KTCH44S1bet5WnhTvcJws+jRm2wsqT/tFFK8rKRfHjSJLa+EBp6GhcWtCE7ObDOlCe7zRwCBp9C2lJJSSShjyfS+/jJSSIcviJ3fsyFz58xYWW22bSy2pw0YcN7UmAtjpulz2fWwhFmjDwjZjs4AhlW782b172xYA5FFIfcUMgw9s384Htm9fxoy0R37BRfUAjaWkYBiM2DZPTU31bIzbKfqEMu/tR1G8rqTsjBtJlnTkUkNDo1voXpk3GdLeiF4cZ0avaTxrJgwJpcQRgmoY8viZM/zUiROcaTQ4Wa9zwfephCEf2LYNX0rqqkdh6jX2Y9u2AQmJe3F+njHH4Zxy328HCxg0DDaZJgNqLNU45qHNm5tI2ednZ/nRo0d54PBh3n/sGC/Nz3NbocCuQoFR217UY+zpmRkeOHyYvc8913V/znTBveB5bDTNjJTtKRZ5w8AAY7ad9Q3tBZ36612Lora9MlcisO/1mDthuf0oV3MM/YrF+sn2gm7mSvdm1NDQ6BY6YtYn6DalkqbmLCGI4hhUm6Q0lSZI0oymECAl/+bCBX6sJRKVb0103vPY4bo8tGkTl4KAf3TiBF+qVJiNogX7NnJ/3+a6CMNoEv5DItp//tq17P9/UanwC2fO4ArBFsviShDwT06dYsA0lyQunSIa75ub45lKpeNctUYnQtXIfMr3KReLwPIWxcWiT6tlVrnaUZzl9KN8vaTdViPN2+1c6cilhoZGt9DErA/Qq5P8J4BHTp3iSLWKA2yx7UznlT+hBol3WDu8dWgIATxbqfDFuTl+amJiwWf2FAq8S1VP3js01LSoQGIbUW55rWAYvOb7bLFtSqbJT7z6KkWVsgQoQdcpnHbpn3nP46OTk+xx3Y5z1brguoaB32J8u5xF8Ub4eK1FyqtX0vh6SbutBlnqdq60B5yGhka36JmYCSEMYFBKObcG43ldotubu6f6Tb5pcJDfvfNO/vW5c/z61BTncuL7fA/IgCSC9sDhw+xwHL5rdJRGHPNspcJXrl1bIFgfMk3ekTYCL5fZ2aI5a0WqQRswzUzvVo9jbi8WGVEViiuJSrT77mwUEcbxonPVuuCOWRZnPA/bMJBSLntRzEefXqlW8VTaOE19rQZp6Qexfj+M4UZgNchSt3O1nMilhobG6xNdETMhxO8AP0HilPBVoCyE+JiU8sm1HNzrBa0390oQcDEIOF6v8+6vf52/s20bby+XiXJE6vOzs/z+9DSbLYuC43DB97mq9EM2CSmLgZIQzEcRX52f5/n5+ab9GsCbSqWMiL1pcBArR+w+PzvLpy9caOvoXzQM7i+X+Vfnz2c9M0dME8c0mxa2lUQl2n3XUwL+PFoXwtYF1zIMNto2Y47DVdWSarmLYvqdDx8/zgblDbaaqb5+SHn1wxhuBFaDLPUyV7o3o4aGRjfoVvx/SEXIfgD4E2AX8CNrNajXG1JBv5SSq77PGc/DU22PzjcaPHLqFJ+7erXpO5++cAFHCIpKuLzddRlRhMXnekFAVUoqUZT5kDlC8EObN/Ovbr+dL735zfznO+/k7+/cyZuHhhaQssdPn+ay71M2TS77Pj9/5gwvzc+zr1jk5WqV/zo9zWbHwRWCRhwzHUW8b2xsQQpnOeLzTt81hciicSlaF8IHR0cXiPE/e/AgL957L6fe/nY+d889K1ogV0s03g4rma/VQj+M4UbhwdFRPnfPPcu+Ll5Pc6WhoXFj0C0xs4UQNgkx+0MpZQALek5r9IhYSubDkB/fto1qFDEbhlzMOeVvchyKatH/9IULTd8953m4QuDFMTNBwFnPYy6Os+biKQRJ5eRW22af67LZsvj5vXt5cONGRqzOAdOU+A1aFq5hMGJZDBgGn3ztNUxFQhwhGLNt3jAwwN2Dg+xxXZ6pVJq2044kdVux2O67j46PJ1WnSyyEK11wF8NaVtj1Ol9rUT25knP2eoOeKw0NjdVGtxqzfwecBl4E/lwIsRvQGrMekeqb6spPrKHE6N86NMTPqCrJM4pwbXIchlR6pGAYnPc8AK6FIV9WPSePNxpt/cQODgxQCQLqcZyJ3lNT2MXSUQIyof5F32fUspqMYVPy8fTMDF+qVIikpGCajDkOZeVf1o6crCSF0+679w4Pr6tWZ61Tfd3O11pWT+q0W/fQc6WhobGaWHavTCGEJaVsxwtuOPq1V6aUkkYcU1Oi/YYiSIvhR48ebeobKaVkNgwxhGDMcTg8P09rnaVJQqhsIXh0926+f9MmPnHuHL/22muJKJ8ktRkDH9q+nQ/v3Hn9u0JQMgwGTTMR8Ssilm/UXQkCpsKQRhwnUTTT5FoUEUmJUNvdVShgwar0h+z31jX90n+ylwbtGhoaGhr9gxX3yhRC/EPgs8A14D8A3wI8Avyv1RrkrYKGiobVooh6F0SsFT+2bRuPTUwwp1J086pvJZBVX9pC8C2Dg+xwXY7XalwNAnYWCk3i/OevXWOTZTGvomaOYTBoGDx/7VqT434nc9d8K6NLYQiKwIfAlSBgk2Uxo6w4hJRMNhoIIbgShjxw+HCWWuyVYPWbh1YnktgPFXavl+pJDQ0NjdcTuk1lfkBK+StCiO8ENgPvJyFqr3tillpYpCnKeOmvLEAjjnlhbo5nKxWenZtr0pml2OO6WfXk24aHF3iKteKc5zFq22xSETCTJFU55fscqVaXJEwp+Xjv0aPEUlJUKcuzjQaGEMxLyahy1Y8A1P93Og4XPI/3HzuGAEYsqyeC1U8eWkuRxPWO4r1eqic1NDQ0Xk/olpilQqPvBj4rpXxRLNaV+haGnydicdxkYdEtpJQcr9cTc9dKhReuXcNr2c6g8hS7r1zmncPDjPe42I67LtNBwJBhIAChBPPDptmTme2IZSUu/+p0u4aBH0XUowhPCAzIUqtXwhDXMNjmOJxVmri0/2a3BKufokBrTRJXmrLVpqUaGhoatx66JWZfFUL8L2Av8KgQYgiWFRy6aVGPIi74PuEyNXlXg4C/UFGxL1YqTLVExQRwV6mUELFymbtLJWyj+1ameeH+oGny2J49fPj4cepxzIBhZNWLjmH0RDYWmLU6DqfrdWKSFGZrbO+CMpwNpaRVv9hKsNoRk36KAq0lSVyNlG2/pFQ1NDQ0NFYP3RKzHwPuAU5JKWtCiFGSdOayIIR4EvheEsutk8D7pZSz6r1H1f4i4B9IKf90uftZTURS9kTKgjjmxWqVLygi9nK1ukBvNmbbvFMRsXcMD7OhxZ9rKXQS7kPnRftDx4/3RDYWmLUCm2ybmSAgICksaD2uKd9PPNFagqp5gtWxD+bYGE9NTfVFFGgtSeJqROP6vUhCQ0NDQ6N3dEvMJHAI+B7gcZKWhytZnf5/wKNSylAI8S+AR4GfEkIcAv4GcCewHfgzIcQBKWX7ho99hrONRqITq1R4bm6OatwcVHSF4N7hYd5VLuMKwZ/MzPDc3Bzn1OKfCvcXg6uI2GLC/RTtdFB7Jye54HmEJATKi2MsIbhdNfdOkV/0hw0DhOBqFDFkmmyxbWbDkFDK7AJKje0ESXRx1LYRJFWC7QhWJ2LyTKXCJ/bv74so0FqmClcajeu3IgkNDQ0NjdVBt8Ts10hSlw+QELNrwO8C9y5np1LKfNHAc8BfVf/+fuA/SSk9YEIIcQJ4K/Cl5exnrTEfRTw3N8cXFRlLdVV5HCgWs6jYW4aGcA0jc9V3hMhc9R8/fZrH9uxZQM4ECWlJqyitHtKb7fDw+DgfOHaM6SBICgKEIIhjpnyfp2dmeHB0dMGiX1OVnX9bRbMcIdjhupxsNPABm6S4ICKJoA1aFp89eBDonGZbjJj0g7Ae1jZVuNJoXD8VSWhoaGhorB66JWZvk1K+WQjxdQAp5VUhhLNKY/gA8J/Vv3eQELUU59RrfYFYSo5UqzyryNjX5+cXpDc3WBb3qUbg31YuM+YsnKZ8OyUg+TuK+PSFC7xnZARbLbglZdq6mnUWD46OssW2mYsiQimTCJxhUIkiHjpyhHcMDzMTBG0X/Y+fP89W285e3+44vOb7hEDJMLJemXk/r04koZ+0ZIthrUjiSqNx/VQkoaGhoaGxeuiWmAVCCBMlJxJCbGYJ8b8Q4s+ArW3e+mkp5R+qz/w0iTXWb6dfa/P5tsIuIcQHgQ8C7Nq1q4tDWD7+9MoVPn3hAn929SpXw2ZPXUt5iqVRsUMDA01ar3Y453mU2yyqF3yfPYUCjmGsSD+01Hfn4piDxSJCCCpRxNlGAyElUggueB4n6nV2txCkAcNg/v/f3v0Hx13fdx5/vnelXckCC5BtMCBjQUSMmYKbOAEmTZoSmqLODUybtpdL7vKDznFMQ5JJpr6Qo03aMszQcZve9dw056akl5twGa6E5ledBMIFrm0cYhJBwKgY22ARG9sIY2PZ++v7fd8f+12xEivtV9L++Er7eszsSPvd764+0tfyvvX5vD/vd6nEimiXJcDaTIbeqCvB6kxmXjNKnb6jcLGzcUslsO1kygEUkYWIG5j9JXA/sMbM7qS89PgHcz3B3a+b63Ez+yDlnLV3+Wvb914Aqt+ZLwQOzvL624HtUK78H+N7WLCfvPoq/+fo0an7F2WzU7snr1q5kjPq5HrNdGE2y9FCgTOihP0UcMqdS3p7p4KyheYPxXlu9Zv64UKhnMBvRjba1ZmJgkRz53CpNJWHlokCqOpgoNuMa/r7511pXjsKFzcb1+mBbdIpB1BEFip2SyYz2wC8i/Ks1vfd/ekFf1Gz64HPAb/s7kerjl8O3EM5r+x84PvAcL3k/2a3ZHr85Elu37ePzWeeydv7++ddU6yikrj/T6+8wif37p21pU+9Vjtz/SUep01P9ZvG3tOnSZnhwEA6zUl3TgcBJcr5Yt1m4E4AnBkFbWdHDc1b1YpIMw+1VX4unRrYJpnaZYnIXBbdkimyh3Lj8q7oRde5+4EFjmkbkAUeiPKndrr7Le7+lJndC+ymvMT5kSTsyLzyjDP46saNHIxaIsWVAlbUSNy/cfVqMqnUghLj6/0lHif3aOZsVcqM/lSKiSDAeC2R34GSOyuiqv9dQCaVYqC7e9ZgoNFBlGYeZpeUTRLyesoBFJGFijVjZmYfBT4LHKb8nm2Au/sVzR1ePK1oYn6yVIoVmGWqEvd7F5i4P9df28Ccf4nP9y/1SuDzYqEwrSl5SDlAy6RSXBqV0nB3jgUB+66+etrzp8pqREujjZxR08yDLEX6dysic5lrxixu7YWPA29098vd/Qp3/4WkBGXtZpT/El7d3c36nh7W9/ayOpNhRTq94N2UWwYHKbgzGQR49PFYqcREscgjr7zCC/k8x6s6B1T/JV7ruQV33tnfz5WPPkrvI4/Q+/DDXPnjH0+Vx9g2PEzoTuhOdyrFup4eelMpcCdfVYttZnJ5Jag7lM9zTjrNs6dP83KxSCkMsShAzZixdXx8YT9cyjMPK2aUCNHMgyTdbL+HygEUkXriBmbjwPFmDmQp6TKjv6uL8zMZLunt5cKeHs7u7iazyBpjFZVgaW02y7EgIGOGUe7T2ZtKUQhDDhQKU8FZdcA087lrs1k+eO65fP7gQZ4+dQqPWiXtnpzkprGxqeDsmv5+Lunt5dLeXvqjpcsg+l5ne2OprqVlZpTcSZlxuGrn6mKDqKGeHk7NKNSr3YeSdLV+D5udiykiy0PcHLN9wA/M7NvAVBVVd/9cU0aVQF1mrIpqeGUbFIDNpTp/6NrRUQru9KXTnJfNciCXA3deLBbpSqVeFzDNzD26dnSUV4OAlBnpqFWSuXOiqiDpbK2X1nR3cywIauaTzcyjqTQ4n2uWbb7i7D7U5gBJIuUAishCxA3MDkS3THTrOD3pdN0WSI1QK8jYn8uRBp45fZrTYVhedqQ8g5ZJpfjcxRfP+QawP5ej5E716FNRxf/KbFat8hWfe8Mb5nzd2RqcZ6JZtkaUcKhXVkObA0REZDmJFZi5+x83eyAye5CBO8/n85gZQdVmjawZJ4P6m1aHeno4EiX3V4KzSj5Z9WxW3L/wK8Hj7slJjgcBq9Jp1kS7NuvNsi3EXONSayIREVlO5gzMzOybzFJ5H8Ddb2j4iDrYbEHGeKGAUS5dUWkUTvSxklw/VxCyZXCQD4+N8XJlw0BUl2xVV9e8Z7Oqg8cLMhm6SyVeKhYpFgps7OurO8vWaCpLICIiy0m9ZKk/A/4c2A+cBv4mup0Enmzu0DrPbDsQc2HIuqhUhkW3bsolLeIEISMDA3xpwwYuW7ECM8PM2NjXx90bNsw7iJqZ8H9udzfrs1k29vXx0KZNLZ+l0uYAERFZTuacMXP3hwHM7A53f0fVQ980s0eaOrIOVJ2zdbxY5HCpRC4qPZEPQ85IpylGOWZFAHfGTp/mDTGCkEYlIidthkqtiUREZDmJu71wtZldXLljZkPA6uYMqXNVah8dzuc5UCiQDwJw56x0mheLRTJmFNwpUF5fTlPeAHCkWGTHxERLxpi0GSqVJRARkeUk7q7MT1Aul7Evur8e+E9NGVEHq+xAfN/TTxO60xvVE+tPp+kpFjkZBOVyF1G9sN5UaqpVUquS3ZM4Q6WyBCIislzE3ZX5HTMbBjZEh8bcPT/Xc2RhRgYGOKuri4uz2WmdA9Z0ddFtxlldXZwzo6uAu7dsKbFe+QoRERFZuFiBmZl9YMahK61cq+rLTRhTx6vkmp0IAg4XCgSU15wvymYZ6u19XQ++Vi8laoZKRESkOeLmmL2l6vZ24I8Alcpoki2DgxwuFDgYBWVQ3oH5fD7P+d3d6sEnIiKyTMVdyvxo9X0z6wf+V1NGJIwMDJB3n1avrHKhvn3sGPdcdpmWEkVERJahuMn/M50Chhs5EJkuH4b0RDXHKtydk6WSlhJFRESWqbg5ZtUdANLAZcC9zRqUwJldXZwqleiqCswCd87omv2SqZm3iIjI0hZ3xuzPqj4vAc+7+wtNGM+S1eig6BMXXMAdzz9PKQxJRz0yw+j4bF9fzbxFRESWtljJ/1EHgDHgTOBsoNDMQS01OyYm+PDYGD86cYKD+Tw/OnGCD4+NLaro62eGhvjDiy5iRVcXRXdWdHXxhxddxGeGhmqeP7NVUl86PdVHU0RERJaGuEuZvwNsBX5AORf9v5vZFnf/+yaObcm4be9eXi4WSZmRprzk+HKxyG179857tmrmzNs9l10W6zWS1ipJRERE5i/uUubtwFvc/QiAma0GHgQUmAHP5HLloCzKB0tXHZ+PxSxHVvfZrFAzbxERkaUlbh2zVCUoi0zM47nLn3v5Vu9YHYtZjqz02VR9MxERkaUrbnD1HTP7rpl9yMw+BHwb+MfmDWtpuXTFCgIgjAKx0J0gOj4f+3M5VqSmX5K4y5HNbOa9Y2KCa0dHGdq5k2tHR1vWMF1ERKTTxC0wu8XM3gO8jXKO2XZ3v7+pI1tC7rr4Ym4aG+NEEFAMQ7pTKVZ1dXHXxRfP63UWuxzZjPpm2u0pIiLSOrGXI939Pnf/pLt/QkHZdCMDA9y9YQNXrVzJhT09XLVyJXdv2DDvwKUZy5GLne3Sbk8REZHWmXPGzMxe5bXCstMeAtzdVzZlVEtQnNmqerXORgYG2AYNa7fUiNku7fYUERFpnTkDM3c/s1UDWe7iBkmNXI6snu0Cyh+DgK3j47G/hnZ7ioiItI52VrZIs5YE51qqXMxmggrt9hQREWkdBWZNVB00/fD4cYozymdUgqSF5oFVZuEO5fPTZuEqzx/q6eFUGE57znxnu5q521NERESmM59nra0k2rx5s+/atavdw5imeulyRSrF2OnTFMKQ9b299EfLgpNBQCaV4mQQTJ13KgwpuMcKfq4dHX3dMuNkFDw9tGnT68Ywn9cWERGR5jCzx9x9c63H2jJjZmZbzWzMzJ4ws/vN7Kzo+HozO21mo9HtC+0Y31zizm7dtncvLxYK7Mvl2JPL0Z9KYcDBfH7akiDuC17irLdUqdkuERGRpSVuS6ZGewD4tLuXzOxPgU8Dn4oe2+vum9o0rjnFTeDfMTHB7lOnSEe9MwthyAQw0NXFK2HIsSCY2nH5e3v2LHjXY5zE/GbUNhMREZHmaMuMmbt/z91L0d2dwIXtGMd8xU3g3zo+TiaaIbOoh6YBJ8KQa1auZN/VV/PQpk2MDAwsKg+sWYn5qvQvIiLSHklI/r8J2FF1f8jMfmpmD5vZ22d7kpndbGa7zGzX0aNHmz9K4u9y3J/LsTaTIeS1Nk24UwjD1wVNiwmumrFUWW9DgYiIiDRP05YyzexB4LwaD93u7l+PzrkdKAFfiR47BKxz9wkzezPwD2Z2ubufmPki7r4d2A7l5P9mfA8zxa3pVTlvXU8PhwsF8mFIVyrFG3t7Xxc0LbaobKOXKhtR+6xeIV0RERGprWmBmbtfN9fjZvZB4N8A7/Joa6i754F89PljZrYXuBRIxJbLLYOD3LpnDwTB1C7HV0olMmYM7dw5FYRUzsuYMRwtVRbcZ+2dmaQ8sMVW+ldvTRERkYVr167M6ykn+9/g7qeqjq82s3T0+cXAMLCvHWOsZebSYSaVwoGC+7QgBFiyuyEXW/tMvTVFREQWrl27MrcBWeABMwPY6e63AO8A/sTMSkAA3OLuL7dpjDVVz25dOzpKIQxrLvtVkvuXmlqzgvPZUKDemiIiIgvXlsDM3d8wy/H7gPtaPJwFW45ByGJz3tRbU0REZOHaNWO2LNQKQo4UCpx0n5ZzttRmzhaT81Zvxk0bA0RERGaXhHIZS9bMUheH83leLBY5I53u2FITc5XwUCkOERGRualX5iJVZoCey+U4VipxRjrNud3dABwvFjlYLBK6c01/f8tmh5I6K1Wvt6eIiEgnSFyvzOVkZGCAhzZtYt/VV3NWVxdrusqrw8eLRQ4UCgTuBO4tmx1K8qxU3AK9IiIinUqBWQNVl5o4XCqVWzIBPel0y8pGJLlcxWJLcYiIiCx3CswaqDrnLB+G4E4InJvJAK2ZHUryrFSzenuKiIgsFwrMGqg68T1lRjqVYlV3N4cLBR6fnGR0cpIX8vmmNgZP8qxUM3p7ioiILCdK/m+SHRMT3DQ2xkvFIlBuCArlSPj8bJaMWVOCkuqWSNXlKhQAiYiIJIOS/9tgZGCANd3dZFIpAsq5ZhkgY8bxqL9mM/K+NCslIiKydKnAbBOdCEM29Pby5KlTpAEzI3DnZBCw9/Rpnsvl2DEx0fCgKUlN0UVERCQ+zZg1USXfK5tKEQKBOwV3DEiZkTJLTCkLERERaT8FZk1U2YXYn0rhQMEdB9KAA+d3dyemlIWIiIi0nwKzJqrkew339XF2VxdGee24J51mXSZDf3d3YkpZiIiISPspx6zJqvO9arUkSkopCxEREWk/zZgtwo6JCa4dHWVo585YtclUYFVERETmohmzBaquF1bdk3IbvG5HZHVT8ZXpNLhzLAhYn6AG4yIiItJ+CswWqLonJVD+GARsHR9nZGBgKhjbPTnJ8SBgVTrNmkxmquDrX3VwbbHqQHVIwamIiMgULWUu0Fw9KSuzaYfyeSaDgDAMOVIqcaJUSlRT8Xao/tlUzzSqZIiIiIhmzGKbOcuzMp3mVBjWTOSvnk0ruNOVShG4c7hU6vidmPVmGkVERDqZZsxiqDXLc7hQ4JVSqWYif/VsWjaVInQnBeSj5uKdvBNzrplGERGRTqfALIbqWR4zoxSGvBoETBSLvFgs8vNCYVpPykrFf4BzM5mpqv8Zs7buxJzvLtJmqP7ZVHRyoCoiIlJNgVkM1bM8x4tFDhQKBO4AnNfdTV86PS2BvbosxspUijWZDKlUir50um1NxZuZ2zWfgE8lQ0RERGanwCyG6lmew6USBhjlCv61kvkrFf/XZrMcCwKGe3v52uWX8+Lb3sZDmza1JZdq5qxfozYhzDfgm/mzaVegKiIikkRK/o9hy+Agt+7ZA0FAPgwxd0Izzs1kgNo5UtUV/5Ngfy7HOVUbFaAxuV0LSeZP2s9GREQkKTRjFkP1LE/KjHQqxbqeHvqjYGQp5Eg1K7dLyfwiIiKNo8AsppGBAR7atImvXX4552UydMGSypFaaG5XvfwxJfOLiIg0jgKzeVqqOVILGXec/DEl84uIiDSOebS7cCnbvHmz79q1q93DWHauHR3lUD4/rYjuZBTUPbRp09SxSvHd53I59f8UERGpw8wec/fNtR5rS/K/md0B3AiEwBHgQ+5+MHrs08DvAgHwMXf/bjvG2AhLvSdk3A0DSuYXERFpjHYtZW519yvcfRPwLeAzAGa2EXgvcDlwPfB5M0vP+ioJVMnJOu+f/5nffOop9kxOtrwnZKMKySp/TEREpLXaEpi5+4mqu31AZT31RuCr7p539/3As8BbWz2+hZqreXkpDHmxUOA3n3yyqVX3G1lIVvljIiIirdW25H8zu9PMxoH3E82YARcA1RVPX4iOLQm1mpcb8PNCYapbQODe1NmzRhaSXaobHURERJaqpuWYmdmDwHk1Hrrd3b/u7rcDt0c5ZbcCn6VcUH+mmrsTzOxm4GaAdevWNWbQMVTnja1Mp8GdE2HIUE8PuycnuSAqOptNpSiGISkgF/XJrO4WUK8I60I1upCs8sdERERap2mBmbtfF/PUe4BvUw7MXgCq18kuBA7O8vrbge1Q3pW58JHGV1kmzJiRBnZPTmLAumyWQ/k8x4OA7lKJc7u7OTeT4UAuB5VdrzG6BTTCUE/P63ZSKi9MRERkaWjLUqaZDVfdvQEYiz7/BvBeM8ua2RAwDDza6vHNpnqZ8EixSJcZKTOOlEr0pdOsSqd5qVh8XfPyLmhZtwDlhYmIiCxd7eqVeZeZvZFyuYzngVsA3P0pM7sX2A2UgI+4e9CmMb5O9TJhPgzpMsPdyUc7F9dkMhQLBdZmszyXyzHc28v2Sy8F4NY9e6a6BZwKw6YFSyMDA2wD1RUTERFZgtoSmLn7e+Z47E7gzhYOJ7bqZcJKDplTzieD8izYxr6+acVXK1oZLCkvTEREZGlq14zZkrRlcJBb9+yBIGBNdzfP53IYsKarq+6SoYIlERERqUeB2TydkUrxTJTUP5jNcmY6zathyNpsVkuGIiIisigKzGKq3pG5sbd3Kk/srksuUTAmIiIiDdG2ArNLTSMLt4qIiIjUohmzmBpduLURlnqTdBEREZlOM2YxJa2hdyN7YoqIiEgyKDCLKWmFW7W0KiIisvwoMIspaQ299+dyrEhNv3ztXloVERGRxVFgtgAtacxZR9KWVkVERGTxFJjFtGNigpvGxvjRiRP8PJfjRydOcNPY2FRO146JCa4dHWVo506uHR1teq5X0pZWRUREZPEUmMV02759vFQsErrTnUoRuvNSscht+/a1JRE/aUurIiIisngqlxHTM6dOkQZSZhB9TLvzzKlT0xLxgfLHIGDr+HhTAyW1eRIREVleNGMWl1n5VuOYEvFFRESkERSYxXRpTw+hO4E7Hn0M3bm0p0eJ+CIiItIQCsxiuuuSSzinu5u0GQGQNuOc7m7uuuQSJeKLiIhIQygwi2lkYIAvbdjAVStXckE2y1UrV/KlDRum8ryUiC8iIiKLZe5JqMq1OJs3b/Zdu3a1exgiIiIidZnZY+6+udZjmjETERERSQgFZiIiIiIJocBMREREJCEUmImIiIgkhCr/x7BjYoKt4+Psz+UY6ulhy+CgdlyKiIhIw2nGrI529MEUERGRzqTArI7qPpgWfcyYsXV8vN1DExERkWVGgVkd6oMpIiIiraLArA71wRQREZFWUWBWh/pgioiISKsoMKtDfTBFRESkVVQuI4ZKo/JaVEpDREREGqUtM2ZmdoeZPWFmo2b2PTM7Pzq+3sxOR8dHzewL7RhfXCqlISIiIo3UrqXMre5+hbtvAr4FfKbqsb3uvim63dKe4cWjUhoiIiLSSG0JzNz9RNXdPsDbMY7FUikNERERaaS2Jf+b2Z1mNg68n+kzZkNm9lMze9jM3j7H8282s11mtuvo0aNNH28tKqUhIiIijdS0wMzMHjSzJ2vcbgRw99vdfRD4CnBr9LRDwDp3/0Xgk8A9Zray1uu7+3Z33+zum1evXt2sb2NOKqUhIiIijdS0XZnufl3MU+8Bvg181t3zQD56/mNmthe4FNjVnFEuzsjAANso55o9l8uxXrsyRUREZBHaUi7DzIbdfU909wZgLDq+GnjZ3QMzuxgYBva1Y4xxzVVKQ0RERGQ+2lXH7C4zeyMQAs8Dld2X7wD+xMxKQADc4u4vt2mMIiIiIi3VlsDM3d8zy/H7gPtaPJy6VERWREREWkEtmepQEVkRERFpFQVmdaiIrIiIiLSKemXWsT+X45x0muNBwOFCgXwYkjHjWKnU7qGJiIjIMqMZszqGeno4UipxIJejGIZ0mVEIQ44HgZYzRUREpKEUmNWxZXCQl4pFcMeAwB3MWJVOazlTREREGkqBWR0jAwOsTKfJpFIElH9gKeBIqcQPT5zQrJmIiIg0jAKzGC7v6+PCbJZ1mQwB5Y7r5k4KtENTREREGkaBWQyVnpgHi0UMMMDNOD+b1Q5NERERaRgFZjGMDAywbXiY0J3Qne5UinU9PfSn06xIpXgul2v3EEVERGQZULmMmEYGBrimv59D+Tx96fTU8VNhyPqenjaOTERERJYLzZjNQ2VJczII8OhjwZ0tg4PtHpqIiIgsAwrM5qGypLk2m+VYELA2m2Xb8LD6ZoqIiEhDaClznkYGBhSIiYiISFNoxkxEREQkIRSYiYiIiCSEAjMRERGRhFBgJiIiIpIQCsxEREREEkKBmYiIiEhCKDATERERSQgFZiIiIiIJocBMREREJCEUmImIiIgkhAIzERERkYRQYCYiIiKSEArMRERERBJCgZmIiIhIQigwExEREUkIBWYiIiIiCdHWwMzMft/M3MxWVR37tJk9a2b/ama/1s7xiYiIiLRSV7u+sJkNAr8KHKg6thF4L3A5cD7woJld6u5Be0YpIiIi0jrtnDH7C+A/A1517Ebgq+6ed/f9wLPAW9sxOBEREZFWa0tgZmY3AD9398dnPHQBMF51/4XoWK3XuNnMdpnZrqNHjzZppCIiIiKt07SlTDN7EDivxkO3A/8FeHetp9U45jWO4e7bge0AmzdvrnlOo+2YmGDr+Dj7czmGenrYMjjIyMBAK760iIiIdICmBWbufl2t42b2C8AQ8LiZAVwI/MTM3kp5hmyw6vQLgYPNGuN87JiY4NY9e8iYcU46zaF8nlv37GEbKDgTERGRhmj5Uqa7/8zd17j7endfTzkYe5O7vwh8A3ivmWXNbAgYBh5t9Rhr2To+TsaMvnQaiz5mzNg6Pl7/ySIiIiIxtG1XZi3u/pSZ3QvsBkrAR5KyI3N/Lsc56fS0YytSKZ7L5do0IhEREVlu2h6YRbNm1ffvBO5sz2hmN9TTw6F8nr6q4OxUGLK+p6eNoxIREZHlRJX/Y9oyOEjBnckgwKOPBXe2DA7Wf7KIiIhIDArMYhoZGGDb8DBrs1mOBQFrs1m2DQ8r8V9EREQapu1LmUvJyMCAAjERERFpGs2YiYiIiCSEAjMRERGRhFBgJiIiIpIQCsxEREREEkKBmYiIiEhCKDATERERSQgFZiIiIiIJocBMREREJCEUmImIiIgkhAIzERERkYQwd2/3GBbNzI4CzzfxS6wCXmri68vC6Lokl65NMum6JJeuTTI167pc5O6raz2wLAKzZjOzXe6+ud3jkOl0XZJL1yaZdF2SS9cmmdpxXbSUKSIiIpIQCsxEREREEkKBWTzb2z0AqUnXJbl0bZJJ1yW5dG2SqeXXRTlmIiIiIgmhGTMRERGRhFBgFjGz683sX83sWTO7rcbjZmZ/GT3+hJm9qR3j7EQxrs37o2vyhJn9i5ld2Y5xdpp616XqvLeYWWBmv9XK8XWyONfGzN5pZqNm9pSZPdzqMXaiGP+X9ZvZN83s8ei6fLgd4+w0Zna3mR0xsydnebyl7/8KzAAzSwN/BYwAG4F/Z2YbZ5w2AgxHt5uBv27pIDtUzGuzH/hld78CuAPlajRdzOtSOe9Pge+2doSdK861MbOzgM8DN7j75cBvt3qcnSbm78xHgN3ufiXwTuDPzSzT0oF2pr8Drp/j8Za+/yswK3sr8Ky773P3AvBV4MYZ59wIfNnLdgJnmdnaVg+0A9W9Nu7+L+5+LLq7E7iwxWPsRHF+ZwA+CtwHHGnl4DpcnGvzPuBr7n4AwN11fZovznVx4EwzM+AM4GWg1Nphdh53f4Tyz3o2LX3/V2BWdgEwXnX/hejYfM+Rxpvvz/13gR1NHZFAjOtiZhcAvwF8oYXjkni/M5cCZ5vZD8zsMTP7QMtG17niXJdtwGXAQeBnwMfdPWzN8GQOLX3/72rWCy8xVuPYzO2qcc6Rxov9czezX6EcmP1SU0ckEO+6/FfgU+4elCcApEXiXJsu4M3Au4Be4IdmttPdn2n24DpYnOvya8AocC1wCfCAmf0/dz/R5LHJ3Fr6/q/ArOwFYLDq/oWU/2KZ7znSeLF+7mZ2BfBFYMTdJ1o0tk4W57psBr4aBWWrgF83s5K7/0NLRti54v5/9pK7TwKTZvYIcCWgwKx54lyXDwN3ebmO1bNmth/YADzamiHKLFr6/q+lzLIfA8NmNhQlWr4X+MaMc74BfCDanXE1cNzdD7V6oB2o7rUxs3XA14D/oL/4W6budXH3IXdf7+7rgb8Hfk9BWUvE+f/s68DbzazLzFYAVwFPt3icnSbOdTlAeRYTMzsXeCOwr6WjlFpa+v6vGTPA3UtmdivlnWNp4G53f8rMboke/wLwj8CvA88Cpyj/ZSNNFvPafAYYAD4fzc6U1Ay4uWJeF2mDONfG3Z82s+8ATwAh8EV3r1kqQBoj5u/MHcDfmdnPKC+ffcrdX2rboDuEmf1vyrtgV5nZC8BngW5oz/u/Kv+LiIiIJISWMkVEREQSQoGZiIiISEIoMBMRERFJCAVmIiIiIgmhwExEREQkIRSYiYiIiCSEAjMRkZjMTLUfRaSpFJiJyLJlZv/ezB41s1Ez+x9mljazk2Z2p5k9bmY7owrrmNlqM7vPzH4c3d4WHf8jM9tuZt8Dvhyd94CZ/SR6zefNbJWZ3WFmH6/62nea2cfa9K2LyBKlwExEliUzuwz4t8Db3H0TEADvB/qAne5+JfAI8B+jp/w34C/c/S3Aeyj3Xq14M3Cju7+PclXwh9z9TcD9wLronL8FPhh97RTlljtfado3KCLLkqblRWS5ehflgOrHUauuXuAIUAC+FZ3zGPCr0efXARujcwFWmtmZ0effcPfT0ee/BPwGgLt/x8yORZ8/Z2YTZvaLwLnAT919olnfnIgsTwrMRGS5MuB/uvunpx00+31/rRddwGv/D6aAa6oCsMr5AJMzXnc2XwQ+BJwH3L3gkYtIx9JSpogsV98HfsvM1gCY2TlmdtEc538PuLVyx8w2zXLePwG/E53zbuDsqsfuB64H3kK5WbWIyLwoMBORZcnddwN/AHzPzJ4AHgDWzvGUjwGbzewJM9sN3DLLeX8MvNvMfgKMAIeAV6OvWQD+L3CvuweN+U5EpJPYazP6IiJSj5llgcDdS2Z2DfDX0eaCStL/T4Dfdvc9bRymiCxRyjETEZmfdcC9URBWINrVaWYbKW8quF9BmYgslGbMRERERBJCOWYiIiIiCaHATERERCQhFJiJiIiIJIQCMxEREZGEUGAmIiIikhAKzEREREQS4v8DRWP1zdv+1+4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "sns.regplot(data = sample_df, y = 'loudness', x = 'energy', color = 'c').set(title = 'Loudness Vs Energy Correlation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "0ba19cfe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Popularity Vs Acoustness Correlation')]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "sns.regplot(data = sample_df, y = 'popularity', x = 'acousticness', color = 'b').set(title = 'Popularity Vs Acoustness Correlation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "ad93f019",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Genres')"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('Duration of songs in differenet genres')\n",
    "sns.color_palette('rocket', as_cmap = True)\n",
    "sns.barplot(y = 'genre', x = 'tempo', data = df_tracks)\n",
    "plt.xlabel('Tempo')\n",
    "plt.ylabel('Genres')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "0a4b1308",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5, 1.0, 'Top 5 Genres by Popularity')]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style(style = 'darkgrid')\n",
    "plt.figure(figsize=(10,5))\n",
    "famous = df_tracks.sort_values('popularity', ascending = False).head(10)\n",
    "sns.barplot(y = 'genre', x = 'popularity', data = famous).set(title = 'Top 5 Genres by Popularity')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6cac892b",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}