diff --git a/4-Classification/2-Classifiers-1/notebook.ipynb b/4-Classification/2-Classifiers-1/notebook.ipynb
index 30778dee..eb45d34e 100644
--- a/4-Classification/2-Classifiers-1/notebook.ipynb
+++ b/4-Classification/2-Classifiers-1/notebook.ipynb
@@ -1,5 +1,19 @@
 {
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Build Classification Models"
+   ]
+  }
+ ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.8 ('.venv': venv)",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -10,19 +24,15 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": 3
+   "version": "3.10.8"
   },
-  "orig_nbformat": 2
+  "orig_nbformat": 2,
+  "vscode": {
+   "interpreter": {
+    "hash": "b59fb33dab871bf69887c451a50f1630bf8b80f7a0c0187fd7f9758fa12a0c70"
+   }
+  }
  },
  "nbformat": 4,
- "nbformat_minor": 2,
- "cells": [
-  {
-   "source": [
-    "# Build Classification Models"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  }
- ]
-}
\ No newline at end of file
+ "nbformat_minor": 2
+}
diff --git a/5-Clustering/1-Visualize/notebook.ipynb b/5-Clustering/1-Visualize/notebook.ipynb
index 46c72bc1..0d6994b2 100644
--- a/5-Clustering/1-Visualize/notebook.ipynb
+++ b/5-Clustering/1-Visualize/notebook.ipynb
@@ -1,5 +1,692 @@
 {
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Nigerian Music scraped from Spotify - an analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>album</th>\n",
+       "      <th>artist</th>\n",
+       "      <th>artist_top_genre</th>\n",
+       "      <th>release_date</th>\n",
+       "      <th>length</th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Sparky</td>\n",
+       "      <td>Mandy &amp; The Jungle</td>\n",
+       "      <td>Cruel Santino</td>\n",
+       "      <td>alternative r&amp;b</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>144000</td>\n",
+       "      <td>48</td>\n",
+       "      <td>0.666</td>\n",
+       "      <td>0.8510</td>\n",
+       "      <td>0.420</td>\n",
+       "      <td>0.534000</td>\n",
+       "      <td>0.1100</td>\n",
+       "      <td>-6.699</td>\n",
+       "      <td>0.0829</td>\n",
+       "      <td>133.015</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>shuga rush</td>\n",
+       "      <td>EVERYTHING YOU HEARD IS TRUE</td>\n",
+       "      <td>Odunsi (The Engine)</td>\n",
+       "      <td>afropop</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>89488</td>\n",
+       "      <td>30</td>\n",
+       "      <td>0.710</td>\n",
+       "      <td>0.0822</td>\n",
+       "      <td>0.683</td>\n",
+       "      <td>0.000169</td>\n",
+       "      <td>0.1010</td>\n",
+       "      <td>-5.640</td>\n",
+       "      <td>0.3600</td>\n",
+       "      <td>129.993</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>LITT!</td>\n",
+       "      <td>LITT!</td>\n",
+       "      <td>AYLØ</td>\n",
+       "      <td>indie r&amp;b</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>207758</td>\n",
+       "      <td>40</td>\n",
+       "      <td>0.836</td>\n",
+       "      <td>0.2720</td>\n",
+       "      <td>0.564</td>\n",
+       "      <td>0.000537</td>\n",
+       "      <td>0.1100</td>\n",
+       "      <td>-7.127</td>\n",
+       "      <td>0.0424</td>\n",
+       "      <td>130.005</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Confident / Feeling Cool</td>\n",
+       "      <td>Enjoy Your Life</td>\n",
+       "      <td>Lady Donli</td>\n",
+       "      <td>nigerian pop</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>175135</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0.894</td>\n",
+       "      <td>0.7980</td>\n",
+       "      <td>0.611</td>\n",
+       "      <td>0.000187</td>\n",
+       "      <td>0.0964</td>\n",
+       "      <td>-4.961</td>\n",
+       "      <td>0.1130</td>\n",
+       "      <td>111.087</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>wanted you</td>\n",
+       "      <td>rare.</td>\n",
+       "      <td>Odunsi (The Engine)</td>\n",
+       "      <td>afropop</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>152049</td>\n",
+       "      <td>25</td>\n",
+       "      <td>0.702</td>\n",
+       "      <td>0.1160</td>\n",
+       "      <td>0.833</td>\n",
+       "      <td>0.910000</td>\n",
+       "      <td>0.3480</td>\n",
+       "      <td>-6.044</td>\n",
+       "      <td>0.0447</td>\n",
+       "      <td>105.115</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       name                         album  \\\n",
+       "0                    Sparky            Mandy & The Jungle   \n",
+       "1                shuga rush  EVERYTHING YOU HEARD IS TRUE   \n",
+       "2                     LITT!                         LITT!   \n",
+       "3  Confident / Feeling Cool               Enjoy Your Life   \n",
+       "4                wanted you                         rare.   \n",
+       "\n",
+       "                artist artist_top_genre  release_date  length  popularity  \\\n",
+       "0        Cruel Santino  alternative r&b          2019  144000          48   \n",
+       "1  Odunsi (The Engine)          afropop          2020   89488          30   \n",
+       "2                 AYLØ        indie r&b          2018  207758          40   \n",
+       "3           Lady Donli     nigerian pop          2019  175135          14   \n",
+       "4  Odunsi (The Engine)          afropop          2018  152049          25   \n",
+       "\n",
+       "   danceability  acousticness  energy  instrumentalness  liveness  loudness  \\\n",
+       "0         0.666        0.8510   0.420          0.534000    0.1100    -6.699   \n",
+       "1         0.710        0.0822   0.683          0.000169    0.1010    -5.640   \n",
+       "2         0.836        0.2720   0.564          0.000537    0.1100    -7.127   \n",
+       "3         0.894        0.7980   0.611          0.000187    0.0964    -4.961   \n",
+       "4         0.702        0.1160   0.833          0.910000    0.3480    -6.044   \n",
+       "\n",
+       "   speechiness    tempo  time_signature  \n",
+       "0       0.0829  133.015               5  \n",
+       "1       0.3600  129.993               3  \n",
+       "2       0.0424  130.005               4  \n",
+       "3       0.1130  111.087               4  \n",
+       "4       0.0447  105.115               4  "
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "\n",
+    "df = pd.read_csv(\"../data/nigerian-songs.csv\")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 530 entries, 0 to 529\n",
+      "Data columns (total 16 columns):\n",
+      " #   Column            Non-Null Count  Dtype  \n",
+      "---  ------            --------------  -----  \n",
+      " 0   name              530 non-null    object \n",
+      " 1   album             530 non-null    object \n",
+      " 2   artist            530 non-null    object \n",
+      " 3   artist_top_genre  530 non-null    object \n",
+      " 4   release_date      530 non-null    int64  \n",
+      " 5   length            530 non-null    int64  \n",
+      " 6   popularity        530 non-null    int64  \n",
+      " 7   danceability      530 non-null    float64\n",
+      " 8   acousticness      530 non-null    float64\n",
+      " 9   energy            530 non-null    float64\n",
+      " 10  instrumentalness  530 non-null    float64\n",
+      " 11  liveness          530 non-null    float64\n",
+      " 12  loudness          530 non-null    float64\n",
+      " 13  speechiness       530 non-null    float64\n",
+      " 14  tempo             530 non-null    float64\n",
+      " 15  time_signature    530 non-null    int64  \n",
+      "dtypes: float64(8), int64(4), object(4)\n",
+      "memory usage: 66.4+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "name                0\n",
+       "album               0\n",
+       "artist              0\n",
+       "artist_top_genre    0\n",
+       "release_date        0\n",
+       "length              0\n",
+       "popularity          0\n",
+       "danceability        0\n",
+       "acousticness        0\n",
+       "energy              0\n",
+       "instrumentalness    0\n",
+       "liveness            0\n",
+       "loudness            0\n",
+       "speechiness         0\n",
+       "tempo               0\n",
+       "time_signature      0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isnull().sum()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>release_date</th>\n",
+       "      <th>length</th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "      <td>530.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>2015.390566</td>\n",
+       "      <td>222298.169811</td>\n",
+       "      <td>17.507547</td>\n",
+       "      <td>0.741619</td>\n",
+       "      <td>0.265412</td>\n",
+       "      <td>0.760623</td>\n",
+       "      <td>0.016305</td>\n",
+       "      <td>0.147308</td>\n",
+       "      <td>-4.953011</td>\n",
+       "      <td>0.130748</td>\n",
+       "      <td>116.487864</td>\n",
+       "      <td>3.986792</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>3.131688</td>\n",
+       "      <td>39696.822259</td>\n",
+       "      <td>18.992212</td>\n",
+       "      <td>0.117522</td>\n",
+       "      <td>0.208342</td>\n",
+       "      <td>0.148533</td>\n",
+       "      <td>0.090321</td>\n",
+       "      <td>0.123588</td>\n",
+       "      <td>2.464186</td>\n",
+       "      <td>0.092939</td>\n",
+       "      <td>23.518601</td>\n",
+       "      <td>0.333701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1998.000000</td>\n",
+       "      <td>89488.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.255000</td>\n",
+       "      <td>0.000665</td>\n",
+       "      <td>0.111000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.028300</td>\n",
+       "      <td>-19.362000</td>\n",
+       "      <td>0.027800</td>\n",
+       "      <td>61.695000</td>\n",
+       "      <td>3.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>2014.000000</td>\n",
+       "      <td>199305.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.681000</td>\n",
+       "      <td>0.089525</td>\n",
+       "      <td>0.669000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.075650</td>\n",
+       "      <td>-6.298750</td>\n",
+       "      <td>0.059100</td>\n",
+       "      <td>102.961250</td>\n",
+       "      <td>4.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>2016.000000</td>\n",
+       "      <td>218509.000000</td>\n",
+       "      <td>13.000000</td>\n",
+       "      <td>0.761000</td>\n",
+       "      <td>0.220500</td>\n",
+       "      <td>0.784500</td>\n",
+       "      <td>0.000004</td>\n",
+       "      <td>0.103500</td>\n",
+       "      <td>-4.558500</td>\n",
+       "      <td>0.097950</td>\n",
+       "      <td>112.714500</td>\n",
+       "      <td>4.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2017.000000</td>\n",
+       "      <td>242098.500000</td>\n",
+       "      <td>31.000000</td>\n",
+       "      <td>0.829500</td>\n",
+       "      <td>0.403000</td>\n",
+       "      <td>0.875750</td>\n",
+       "      <td>0.000234</td>\n",
+       "      <td>0.164000</td>\n",
+       "      <td>-3.331000</td>\n",
+       "      <td>0.177000</td>\n",
+       "      <td>125.039250</td>\n",
+       "      <td>4.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>2020.000000</td>\n",
+       "      <td>511738.000000</td>\n",
+       "      <td>73.000000</td>\n",
+       "      <td>0.966000</td>\n",
+       "      <td>0.954000</td>\n",
+       "      <td>0.995000</td>\n",
+       "      <td>0.910000</td>\n",
+       "      <td>0.811000</td>\n",
+       "      <td>0.582000</td>\n",
+       "      <td>0.514000</td>\n",
+       "      <td>206.007000</td>\n",
+       "      <td>5.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       release_date         length  popularity  danceability  acousticness  \\\n",
+       "count    530.000000     530.000000  530.000000    530.000000    530.000000   \n",
+       "mean    2015.390566  222298.169811   17.507547      0.741619      0.265412   \n",
+       "std        3.131688   39696.822259   18.992212      0.117522      0.208342   \n",
+       "min     1998.000000   89488.000000    0.000000      0.255000      0.000665   \n",
+       "25%     2014.000000  199305.000000    0.000000      0.681000      0.089525   \n",
+       "50%     2016.000000  218509.000000   13.000000      0.761000      0.220500   \n",
+       "75%     2017.000000  242098.500000   31.000000      0.829500      0.403000   \n",
+       "max     2020.000000  511738.000000   73.000000      0.966000      0.954000   \n",
+       "\n",
+       "           energy  instrumentalness    liveness    loudness  speechiness  \\\n",
+       "count  530.000000        530.000000  530.000000  530.000000   530.000000   \n",
+       "mean     0.760623          0.016305    0.147308   -4.953011     0.130748   \n",
+       "std      0.148533          0.090321    0.123588    2.464186     0.092939   \n",
+       "min      0.111000          0.000000    0.028300  -19.362000     0.027800   \n",
+       "25%      0.669000          0.000000    0.075650   -6.298750     0.059100   \n",
+       "50%      0.784500          0.000004    0.103500   -4.558500     0.097950   \n",
+       "75%      0.875750          0.000234    0.164000   -3.331000     0.177000   \n",
+       "max      0.995000          0.910000    0.811000    0.582000     0.514000   \n",
+       "\n",
+       "            tempo  time_signature  \n",
+       "count  530.000000      530.000000  \n",
+       "mean   116.487864        3.986792  \n",
+       "std     23.518601        0.333701  \n",
+       "min     61.695000        3.000000  \n",
+       "25%    102.961250        4.000000  \n",
+       "50%    112.714500        4.000000  \n",
+       "75%    125.039250        4.000000  \n",
+       "max    206.007000        5.000000  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Top genres')"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "\n",
+    "top = df['artist_top_genre'].value_counts()\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.barplot(x=top[:5].index,y=top[:5].values)\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.title('Top genres',color = 'blue')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Top genres')"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzR4oaA0fPtyULVvWZMiQwfj6+pomTZqYAwcOuG1TrVo143A43H5eeeUVt22OHz9uGjRoYNKmTWt8fX1Nnz59zO3btx/91QAAAABAEpDiQTbetGmTCQsLM2XLljW3b982AwcONLVr1zb79u0z6dKls7br1KmTGTp0qPV72rRprf/HxMSYBg0aGD8/P7N582Zz5swZ88ILL5iUKVOa9957z4aXBAAAAACe9UBBa9WqVW6/T58+3fj6+pqdO3eaKlWqWMvTpk1r/Pz87voY3377rdm3b59Zu3atyZYtmylZsqR55513TL9+/czbb79tUqVK9RAvAwAAAACSjkfqo3X58mVjjDGZM2d2Wz5r1iyTNWtWU7RoUTNgwABz/fp1a92WLVtMsWLFTLZs2axlderUMZGRkea333676/NERUWZyMhItx8AAAAASKoeqEYrrtjYWNO9e3dTsWJFU7RoUWv5c889Z/LkyWNy5Mhhdu/ebfr162cOHDhgFi1aZIwxJjw83C1kGWOs38PDw+/6XMOHDzdDhgx52KICAAAAQKJ66KAVFhZm9u7da3744Qe35Z07d7b+X6xYMZM9e3ZTo0YNc/jwYZM/f/6Heq4BAwaYnj17Wr9HRkaaXLlyPVzBAQAAACCBPVTTwa5du5ply5aZDRs2GH9//3/ctnz58sYYYw4dOmSMMcbPz89ERES4beP6/V79ulKnTm28vLzcfgAAAAAgqXqgoCXJdO3a1SxevNisX7/e5MuX775/88svvxhjjMmePbsxxpjQ0FCzZ88ec/bsWWubNWvWGC8vLxMcHPwgxQEAAACAJOmBmg6GhYWZ2bNnm6+//tpkyJDB6lOVMWNGkyZNGnP48GEze/ZsU79+fZMlSxaze/du06NHD1OlShVTvHhxY4wxtWvXNsHBwaZt27Zm5MiRJjw83Lz55psmLCzMpE6d2v5XCAAAAACJ7IFqtCZOnGguX75sqlWrZrJnz279fPXVV8YYY1KlSmXWrl1rateubQIDA02vXr1M8+bNzdKlS63HSJ48uVm2bJlJnjy5CQ0NNc8//7x54YUX3ObdAgAAAIDH2QPVaEn6x/W5cuUymzZtuu/j5MmTx6xYseJBnhoAAAAAHhuPNI8WAAAAACA+ghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANnugoDV8+HBTtmxZkyFDBuPr62uaNGliDhw44LbNzZs3TVhYmMmSJYtJnz69ad68uYmIiHDb5vjx46ZBgwYmbdq0xtfX1/Tp08fcvn370V8NAAAAACQBDxS0Nm3aZMLCwszWrVvNmjVrTHR0tKldu7a5du2atU2PHj3M0qVLzfz5882mTZvM6dOnTbNmzaz1MTExpkGDBubWrVtm8+bNZsaMGWb69Olm0KBB9r0qAAAAAPAghyQ97B+fO3fO+Pr6mk2bNpkqVaqYy5cvGx8fHzN79mzTokULY4wx+/fvN0FBQWbLli2mQoUKZuXKlaZhw4bm9OnTJlu2bMYYYyZNmmT69etnzp07Z1KlSnXf542MjDQZM2Y0ly9fNl5eXs6yTPzyYV+G7Xy6PO/pIgAAAAD/E+6WDZKCR+qjdfnyZWOMMZkzZzbGGLNz504THR1tatasaW0TGBhocufObbZs2WKMMWbLli2mWLFiVsgyxpg6deqYyMhI89tvv931eaKiokxkZKTbDwAAAAAkVQ8dtGJjY0337t1NxYoVTdGiRY0xxoSHh5tUqVIZb29vt22zZctmwsPDrW3ihizXete6uxk+fLjJmDGj9ZMrV66HLTYAAAAAJLiHDlphYWFm7969Zu7cuXaW564GDBhgLl++bP2cOHEiwZ8TAAAAAB5Wiof5o65du5ply5aZ7777zvj7+1vL/fz8zK1bt8ylS5fcarUiIiKMn5+ftc1PP/3k9niuUQld29wpderUJnXq1A9TVAAAAABIdA9UoyXJdO3a1SxevNisX7/e5MuXz2196dKlTcqUKc26deusZQcOHDDHjx83oaGhxhhjQkNDzZ49e8zZs2etbdasWWO8vLxMcHDwo7wWAAAAAEgSHqhGKywszMyePdt8/fXXJkOGDFafqowZM5o0adKYjBkzmo4dO5qePXuazJkzGy8vL9OtWzcTGhpqKlSoYIwxpnbt2iY4ONi0bdvWjBw50oSHh5s333zThIWFUWsFAAAA4D/hgYLWxIkTjTHGVKtWzW35tGnTTPv27Y0xxowZM8YkS5bMNG/e3ERFRZk6deqYCRMmWNsmT57cLFu2zHTp0sWEhoaadOnSmXbt2pmhQ4c+2isBAAAAgCTikebR8hTm0QIAAABgzH90Hi0AAAAAQHwELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABsRtACAAAAAJsRtAAAAADAZgQtAAAAALAZQQsAAAAAbEbQAgAAAACbEbQAAAAAwGYELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABsRtACAAAAAJsRtAAAAADAZgQtAAAAALAZQQsAAAAAbEbQAgAAAACbEbQAAAAAwGYELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABsRtACAAAAAJsRtAAAAADAZgQtAAAAALAZQQsAAAAAbEbQAgAAAACbEbQAAAAAwGYELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABsRtACAAAAAJsRtAAAAADAZgQtAAAAALAZQQsAAAAAbEbQAgAAAACbEbQAAAAAwGYELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABsRtACAAAAAJsRtAAAAADAZgQtAAAAALAZQQsAAAAAbEbQAgAAAACbEbQAAAAAwGYELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABs9sBB67vvvjONGjUyOXLkMA6HwyxZssRtffv27Y3D4XD7qVu3rts2Fy9eNG3atDFeXl7G29vbdOzY0Vy9evWRXggAAAAAJBUPHLSuXbtmSpQoYcaPH3/PberWrWvOnDlj/cyZM8dtfZs2bcxvv/1m1qxZY5YtW2a+++4707lz5wcvPQAAAAAkQSke9A/q1atn6tWr94/bpE6d2vj5+d113e+//25WrVpltm/fbsqUKWOMMWbcuHGmfv36ZtSoUSZHjhwPWiQAAAAASFISpI/Wxo0bja+vrylcuLDp0qWLuXDhgrVuy5Ytxtvb2wpZxhhTs2ZNkyxZMrNt27aEKA4AAAAAJKoHrtG6n7p165pmzZqZfPnymcOHD5uBAweaevXqmS1btpjkyZOb8PBw4+vr616IFClM5syZTXh4+F0fMyoqykRFRVm/R0ZG2l1sAAAAALCN7UGrVatW1v+LFStmihcvbvLnz282btxoatSo8VCPOXz4cDNkyBC7iggAAAAACSrBh3cPCAgwWbNmNYcOHTLGGOPn52fOnj3rts3t27fNxYsX79mva8CAAeby5cvWz4kTJxK62AAAAADw0BI8aJ08edJcuHDBZM+e3RhjTGhoqLl06ZLZuXOntc369etNbGysKV++/F0fI3Xq1MbLy8vtBwAAAACSqgduOnj16lWrdsoYY44cOWJ++eUXkzlzZpM5c2YzZMgQ07x5c+Pn52cOHz5s+vbtawoUKGDq1KljjDEmKCjI1K1b13Tq1MlMmjTJREdHm65du5pWrVox4iAAAACA/4QHrtHasWOHCQkJMSEhIcYYY3r27GlCQkLMoEGDTPLkyc3u3bvN008/bQoVKmQ6duxoSpcubb7//nuTOnVq6zFmzZplAgMDTY0aNUz9+vVNpUqVzOTJk+17VQAAAADgQQ9co1WtWjUj6Z7rV69efd/HyJw5s5k9e/aDPjUAAAAAPBYSvI8WAAAAAPyvIWgBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYLMHDlrfffedadSokcmRI4dxOBxmyZIlbuslmUGDBpns2bObNGnSmJo1a5qDBw+6bXPx4kXTpk0b4+XlZby9vU3Hjh3N1atXH+mFAAAAAEBS8cBB69q1a6ZEiRJm/Pjxd10/cuRIM3bsWDNp0iSzbds2ky5dOlOnTh1z8+ZNa5s2bdqY3377zaxZs8YsW7bMfPfdd6Zz584P/yoAAAAAIAlJ8aB/UK9ePVOvXr27rpNkPvroI/Pmm2+axo0bG2OMmTlzpsmWLZtZsmSJadWqlfn999/NqlWrzPbt202ZMmWMMcaMGzfO1K9f34waNcrkyJHjEV4OAAAAAHierX20jhw5YsLDw03NmjWtZRkzZjTly5c3W7ZsMcYYs2XLFuPt7W2FLGOMqVmzpkmWLJnZtm2bncUBAAAAAI944BqtfxIeHm6MMSZbtmxuy7Nly2atCw8PN76+vu6FSJHCZM6c2drmTlFRUSYqKsr6PTIy0s5iAwAAAICtHotRB4cPH24yZsxo/eTKlcvTRQIAAACAe7I1aPn5+RljjImIiHBbHhERYa3z8/MzZ8+edVt/+/Ztc/HiRWubOw0YMMBcvnzZ+jlx4oSdxQYAAAAAW9katPLly2f8/PzMunXrrGWRkZFm27ZtJjQ01BhjTGhoqLl06ZLZuXOntc369etNbGysKV++/F0fN3Xq1MbLy8vtBwAAAACSqgfuo3X16lVz6NAh6/cjR46YX375xWTOnNnkzp3bdO/e3QwbNswULFjQ5MuXz7z11lsmR44cpkmTJsYYY4KCgkzdunVNp06dzKRJk0x0dLTp2rWradWqFSMOAgAAAPhPeOCgtWPHDvPUU09Zv/fs2dMYY0y7du3M9OnTTd++fc21a9dM586dzaVLl0ylSpXMqlWrzBNPPGH9zaxZs0zXrl1NjRo1TLJkyUzz5s3N2LFjbXg5AAAAAOB5DknydCEeVGRkpMmYMaO5fPmy1Yzw3MQvPVyqv/l0ed7TRQAAAAD+J9wtGyQFj8WogwAAAADwOCFoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2S+HpAvwvCp8w2NNFsPi9OsTTRQAAAAD+c6jRAgAAAACbEbQAAAAAwGYELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABsRtACAAAAAJsRtAAAAADAZgQtAAAAALAZQQsAAAAAbEbQAgAAAACbEbQAAAAAwGYELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABsRtACAAAAAJsRtAAAAADAZgQtAAAAALAZQQsAAAAAbEbQAgAAAACbEbQAAAAAwGYELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABsRtACAAAAAJsRtAAAAADAZgQtAAAAALAZQQsAAAAAbEbQAgAAAACbEbQAAAAAwGYELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABsRtACAAAAAJsRtAAAAADAZgQtAAAAALAZQQsAAAAAbEbQAgAAAACbEbQAAAAAwGYELQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmBC0AAAAAsBlBCwAAAABsRtACAAAAAJsRtAAAAADAZrYHrbfffts4HA63n8DAQGv9zZs3TVhYmMmSJYtJnz69ad68uYmIiLC7GAAAAADgMQlSo1WkSBFz5swZ6+eHH36w1vXo0cMsXbrUzJ8/32zatMmcPn3aNGvWLCGKAQAAAAAekSJBHjRFCuPn5xdv+eXLl83UqVPN7NmzTfXq1Y0xxkybNs0EBQWZrVu3mgoVKiREcQAAAAAgUSVIjdbBgwdNjhw5TEBAgGnTpo05fvy4McaYnTt3mujoaFOzZk1r28DAQJM7d26zZcuWez5eVFSUiYyMdPsBAAAAgKTK9qBVvnx5M336dLNq1SozceJEc+TIEVO5cmVz5coVEx4eblKlSmW8vb3d/iZbtmwmPDz8no85fPhwkzFjRusnV65cdhcbAAAAAGxje9PBevXqWf8vXry4KV++vMmTJ4+ZN2+eSZMmzUM95oABA0zPnj2t3yMjIwlbAAAAAJKsBB/e3dvb2xQqVMgcOnTI+Pn5mVu3bplLly65bRMREXHXPl0uqVOnNl5eXm4/AAAAAJBUJXjQunr1qjl8+LDJnj27KV26tEmZMqVZt26dtf7AgQPm+PHjJjQ0NKGLAgAAAACJwvamg7179zaNGjUyefLkMadPnzaDBw82yZMnN61btzYZM2Y0HTt2ND179jSZM2c2Xl5eplu3biY0NJQRBwEAAAD8Z9getE6ePGlat25tLly4YHx8fEylSpXM1q1bjY+PjzHGmDFjxphkyZKZ5s2bm6ioKFOnTh0zYcIEu4sBAAAAAB5je9CaO3fuP65/4oknzPjx48348ePtfmoAAAAASBISvI8WAAAAAPyvIWgBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzVJ4ugBI+nZPfNrTRTDGGFO8yzeeLgIAAADwr1CjBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2IygBQAAAAA2I2gBAAAAgM0IWgAAAABgM4IWAAAAANiMoAUAAAAANiNoAQAAAIDNCFoAAAAAYDOCFgAAAADYjKAFAAAAADYjaAEAAACAzQhaAAAAAGAzghYAAAAA2CyFpwsA2Gn11PqeLoIxxpg6HVd4uggAAADwIIIW4CFfTK/j6SIYY4xp2361p4sAAADwn0PTQQAAAACwGUELAAAAAGxG0AIAAAAAmxG0AAAAAMBmDIYB4L4+nJM0Bu7o1ZqBOwAAwOOBGi0AAAAAsJlHa7TGjx9vPvjgAxMeHm5KlChhxo0bZ8qVK+fJIgF4zHVYXNfTRTDGGDOt6ar7blN/yVuJUJL7W9HkHU8XAQCA/xyP1Wh99dVXpmfPnmbw4MFm165dpkSJEqZOnTrm7NmznioSAAAAANjCY0Fr9OjRplOnTqZDhw4mODjYTJo0yaRNm9Z8/vnnnioSAAAAANjCI00Hb926ZXbu3GkGDBhgLUuWLJmpWbOm2bJlS7zto6KiTFRUlPX75cuXjTHGREZGWsuu3LiRgCV+MKnjlOturtyI+sf1iSntfcpqjDFXb0QnQknuL/JflPXaY1TWGzduJ0JJ7u/flPXm9cenrLceo7JGX08ax4J/U9YW30xJhJLc34KnO913m5ZLvkqEktzf/CbP3nebZ5fcv4lpYviqyf2b3Lb5ensilOT+ZjUue99t+i49mQgl+XdGNvL/x/Xzvz6fSCW5v5aNs/7j+q1zkk5ZK7T+57IemxCRSCW5vzyvZvvH9WfH702kktyfb1jRf1x/btKGRCrJ/fm88pT1f9d5TJKninNXDnmgRKdPnzY5c+Y0mzdvNqGhodbyvn37mk2bNplt27a5bf/222+bIUOGJHYxAQAAADwmTpw4Yfz9//nmRmJ6LIZ3HzBggOnZs6f1e2xsrLl48aLJkiWLcTgctj1PZGSkyZUrlzlx4oTx8vKy7XETAmVNGJQ1YVDWhEFZEwZlTRiUNWFQ1oTxOJXVmMervAlRVknmypUrJkeOHLY8nl08ErSyZs1qkidPbiIi3Kt1IyIijJ+fX7ztU6dObVKnTu22zNvbO8HK5+XlleR3UhfKmjAoa8KgrAmDsiYMypowKGvCoKwJ43EqqzGPV3ntLmvGjBlteyy7eGQwjFSpUpnSpUubdevWWctiY2PNunXr3JoSAgAAAMDjyGNNB3v27GnatWtnypQpY8qVK2c++ugjc+3aNdOhQwdPFQkAAAAAbOGxoPXss8+ac+fOmUGDBpnw8HBTsmRJs2rVKpMt2z+PzJKQUqdObQYPHhyvmWJSRFkTBmVNGJQ1YVDWhEFZEwZlTRiUNWE8TmU15vEq7+NU1kflkVEHAQAAAOC/zGMTFgMAAADAfxVBCwAAAABsRtACAAAAAJsRtAAAAADAZgQtD3r//ffNpEmTPF0MAAAA4H9ebGysiY2NNcYYY8d4gQQtDzp79qx59dVXzcyZMz1dFOCBxT0AMXjp3fG+AMD/Jtfx/+TJkyYqKsrDpcG9uELVzZs3jTHGJEuWzBw8eNAYY4zD4XjkxydoecDFixeNMcaMHj3avPXWW6Zjx45m+vTpCfqcri/8f/HCz/UlQcJx7TfR0dF3/b8dB6N7eRw+39u3b1vvxeXLl01kZKQxJmHfl6QioT6f/8Kx6nHYd+/lcS67Hf4L+x8S3/Xr163/OxwOs337dlOpUiXz119/ebBU9/e/vL8nS5bM/Pnnn+b11183J0+eNAsWLDBBQUFm7969tjy+xyYs/l/10UcfmS+//NJ8+eWXJjAw0AwZMsTExsaaTp06GWOMad++ve3PGRsba5Ilc2bqS5cumYwZM5rY2FiTIkUKt3WPo7jlX7JkiTl58qTJlSuXCQoKMoUKFfJw6eKTZBwOh9m7d69Jnjy5CQoK8nSR/pXvv//eVKlSxaRMmdIYY8zy5cvN+PHjTXR0tClQoIDp3bu3yZs3r0mePLltzxkVFWVSp05tfb6//PKLOXz4sMmQIYMJDg42/v7+tj3Xw5o/f75p2bKlSZHCeSj9+uuvzdtvv21u3rxpfHx8TPfu3U316tWNt7e3ZwuaQCRZn88nn3xiDhw4YM6fP29efvllU7RoUZM1a9YHfszw8HCTOXNmkypVKruLm+hc782cOXNM8eLFTZEiRTxcon8n7nF15cqV5sSJE8bb29tUqVLF+Pn5ebh0Cc91nP7hhx/Mrl27zIEDB0z79u1N3rx5jY+PzwM/TlLyT+f8pHA9cK8yJIWy3c8nn3xizp49a8LCwky2bNmMMc4bb/7+/knqe+PaLyMiIkyKFCmMpIc6Vv+XnDp1ysyfP98cOHDAbN261UyfPt0ULVrUnu+wkKiOHDmiTJkyqXbt2tq/f7+1/M0331SKFCk0bdo0W58vNjbW+v8777yjihUrqly5cnrppZd06NAhSVJMTIytz5lY4r62fv36KV26dCpVqpS8vb1VsWJFffrppx4sXXyu8i5atEgFCxbUwIEDdf78eQ+X6v5++uknORwODRgwQJK0adMmJUuWTJ07d1avXr0UEBCgkiVLavny5bbtS++++6569eqlCxcuSJIWL16s1KlTq2jRokqZMqWqVKmicePG2fJcD+v48eNKkSKF6tWrJ0natWuXnnjiCb3xxhuaNm2aGjVqpODgYA0fPlyXLl3yaFkTQtzPun///vL29tazzz6rihUrKmvWrOrbt68OHz78QI/51ltvqUyZMgoKCtKUKVN04sQJu4udKOK+N+Hh4XI4HHrmmWf0+++/e7BU/86dx9WAgAAVK1ZM1apVU9myZXXkyBHPFS4RLVy4UN7e3nrmmWdUr1495c6dW926ddNff/3ltp3r/dq+fbvGjx+vyZMna8uWLfHWJwVx98vp06drwIAB6t69uxYtWuTBUv0tbvlWrlypyZMna/r06Tp+/Hi89UlRr169lD17do0YMUKnT5+WJH311VeqWLGih0v2N9f+uHjxYhUvXlyFChVS9uzZNXLkSJ08edLDpfMM13syYsQIORwOhYaG6uDBg/HWPyyCViKKjo6WJJ04cUK+vr6qXr2624n3rbfeUvLkyfX555/b8nxxd45x48YpY8aM+vjjj/X666+rRo0aypw5s3777TdJSf8A9k927typ0qVL68cff5Qk7d69W126dFGpUqU0c+ZMD5fO3bJly/TEE09o4sSJVohI6s6fP68PP/xQWbNm1Ztvvqm5c+dq5MiR1vpbt27pqaeeUsmSJXXs2DFbnvOTTz6Rw+HQoEGD9Pvvv6ts2bKaNGmSrl69ql9//dX6fMePH2/L8z2M2NhYbdiwQf7+/mrcuLGWL1+uQYMGuW3Tu3dvBQYGatmyZdbf/NecP39eL7zwgtvF5ZgxY1SsWDENGTJEN2/e/Fev+4svvlCOHDk0ffp0tWnTRsHBwXr99dcfOKx5WtzXOmDAAPXp00eFChVSypQpVb9+fR04cMCDpfv3Ro8erRw5cmjr1q2SpFGjRsnhcCggIEB//PGHh0uXsH7//Xfly5fPOhffuHFDDodDQ4YMcdvO9VkvXLhQWbJkUfXq1VWyZMl4N/qS2ve+T58+ypYtm7p3767mzZsrf/786tWrl0fLFPc96tOnj/Lnz68KFSqoXr16Sps2rX7++WfPFe4BDBkyRLly5dLw4cN17do1zZgxQ6VLl05S+8DatWuVOnVqjRkzRosXL9aHH36o9OnTKywsTGfOnPF08RKd6/p37NixGjJkiAICAvTcc89p165d1jZxP78H/SwJWons9u3bkpx3w/8pbE2fPt2259y6davat2+vr776ylp2+PBhNWvWTP7+/o/1XYzhw4fr+eef17PPPmsFWUnav3+/nn32WTVv3ly3bt3yYAn/duXKFTVo0EDDhg2zfj906JBGjRqlOXPmKCoqysMlvLeLFy9qzJgx8vHxkbe3t4YPHy5JunnzpiQpKipKefLkUY8ePWx7zmnTpsnhcKhXr15q3ry5zp49a607fPiwOnfurBo1aujcuXO2PefD2LRpk3LmzCmHw6EXX3xR0t/fc0mqXbu2atas6aniJaipU6fqiSeeUJEiRbR37163dcOHD1emTJmsO7v3M23aNI0dO9b6fcyYMQoJCdFrr72mP//809ZyJ4bRo0crc+bM2rx5s37++WetXbtWmTNnVp06dZJk2HJdPMTGxur06dN65plnNHv2bEnS8uXLlT59eg0cOFCVKlVSgQIF/tM1W9u2bVO5cuUkOUNXrly59NJLL1nr9+/fb51XvvvuO2XPnl0TJ060fvfy8lKuXLn04YcfWn/jqQvtkSNH6vLly9bvK1euVN68ebVt2zZJzhqXJ554Ql9++aVHyrdo0SJFRkZav0+fPl3ZsmXTTz/9JMl5jHE4HJo7d661TVIKLS5xj/lvvPGGcubMqXHjxmno0KFq1qyZ/vzzT+3evVsHDhzQ0aNH9cMPP/zrY6NdXO/byy+/rFatWrmtW7JkidKmTauPP/7Ybdv/snu9xrVr1ypv3rx67rnn3AK+62b+gyJoeYArPd8rbL399ttyOByaNWvWIz/XsmXLFBgYqOzZs2vlypXW8tjYWO3Zs0elS5fW5MmTrWWPm/fff18Oh0O5cuWKdzG2aNEiORyORL+ouVvtoKvpWPXq1dWxY0f99ddf6tq1q6pUqaKCBQsqRYoUeueddxK1nP9G3H3i/PnzGjt2rLJmzarnn3/eWu4KiB07dlSLFi1sfU7XSTZlypTauXOn23auJo3ffffdIz/ng5brzv9v2rRJwcHBKlWqlHXR4DrxfvjhhypXrpwVSv9Ldu/erVq1aillypTavHmzpL/3h5s3b8rHx+e+x7EZM2bovffe03PPPafPPvvMbd2YMWNUqlQpde/e/bGrRXn++eet4O2yb98+eXt7q3Hjxtq3b5+HSvbvrF27VkeOHNHPP/+sPHnyaMKECZL+rtlKmzatbTXYSc2SJUtUrFgxRUREKG/evOrUqZN1XN+wYYPCwsJ06tQpxcTEaNCgQXr55ZclSUePHlW+fPn07LPPqnPnzvLz8/NoE/ZatWopf/78io6Oto5ZkyZNUrVq1SRJ8+fPV4YMGayQePXqVX3//feJVr6yZcuqcePGbiFlwIAB6tevnyTnOTx9+vTWNUpkZGSSbAniem+PHj1qLXvjjTeUL18+FS5cWA6HQyVLllS6dOnk5+engIAA+fn5JVrQct0UcB2bmzRporZt20pytrRyvf/vvPOOAgIC/pNN3e/k+sy2bNmiTz/9VEOHDtWBAwd048YNSc7jX758+dSmTRstXbpUQ4cOlcPhUEREBDVaSZHrQzl//rzCw8PdPqRjx47Jx8cnXth69913bTkRR0VF6dVXX1XatGnVrl07XblyxVp3+/ZtlSpVSn369Hnk50kM92reOHnyZDkcDr3xxhtutR47d+5U4cKFPXJB8+eff+qjjz6SJM2bN0/NmzfXmTNnNHbsWAUFBSlFihRq2rSpZsyYIUkaOHCgqlev7vFaLdd7fOXKFSsYxD0JXr58WaNHj1aqVKnUv39/t79t3LixWrdu7bb9gzynS2xsrNtjzJ07Vw6HQ127dlV4eLi1/OzZswoKCtKaNWse6PkehquMFy9etE70d5Z748aN8vPzU7169XTp0iVrffv27VW1alXrAP64utv3LyYmxmraWbBgQbfa8ZMnTyp37tz65ptv7vmY/fr1k5eXl0qVKqWUKVMqJCTEre+qJH388cfKmTOnxowZY9trSUgxMTGKiYlRnTp11Lx5c2u56/v0wQcfyOFwqGXLlol+R/t+Jk6cqMqVK7stGzt2rBo1aqRr165JkubMmaPWrVtryJAhD/xdT4pc5+O9e/dq+/btkpwXpiEhIXI4HFaIcundu7eeeuop61h08eJFbd68WdevX1doaKgVrnfu3KmMGTMqbdq0Htl3t2zZonz58unUqVOSnAFRctYYtW3bVitWrFD69OmtkCU5g02/fv3czqMJZfny5SpUqJAiIiIk/X0zslu3burZs6e+/vprt/LFxsbqs88+0zvvvJOkblq59p9vvvlGJUqUsEKhJL333nvKmjWrunbtqj179ujUqVM6ffq0dS2Y0E6cOGE9zzfffKOpU6dKct6g9vb2tm5euVoDTZ06VSVLlnzsz1X3E7fJr7e3t+rVq6eAgAA9+eSTGjdunK5evSpJWr9+vUJCQlS8eHHlzZtXO3bseKjnI2glsLhfwlKlSqlgwYIKDg7W4sWLrSZPrrBVu3bteM1vHsS9gogrbBUrVkzDhg2zynTz5k2VLl06Sdak3Cnuazt48KB++eUXt5OB6y5r165dtWbNGv3666+qW7euSpcunej9z6KjozV06FDlzJlT7dq1k8PhsAY5uXjxovbv368VK1a4/U2HDh3UoUMHt+aPic31Pv32229q06aNvvzyS7fgt3XrVl28eFGRkZEaM2aMUqVKpRYtWqhfv37q06ePUqdOrT179jzUcx4+fPiuTVdc78dnn30mh8OhV155RT/++KOOHTumAQMGKFOmTFZH6YTiKuOePXtUo0YNjRgxwq2py8qVK63ato0bNypHjhwqVqyYWrZsqddff10ZMmTQL7/8kqBlTGhxv0MbN27U4sWLtWnTJl28eFGS8zsZEhKigIAAjRs3TrNnz1aDBg1UokSJe16M79+/X507d7ZOXtOnT1flypX1zDPPxKuF/uqrr5LsRf29ji/z5s1T2rRpreZ3LlOnTlX79u3l7e2tV155JTGK+K8tWLBAZcuWtQKH5GxhkTVrVp07d063bt1SkyZN9MYbb1jrk+rn8m/EveAqUKCAhg0bpuPHjysmJkbz5s1T0aJF1bRpU0VERGjLli3q27evvLy8NH36dE2ePNnt2LNlyxYVL17culGwb98+q6m4J5q+nj17Vrly5dJrr72mvn37Klu2bIqMjNTevXuVMmVKt/OSJF2/fl116tRRx44dE6V1yzfffKMUKVLojz/+0Msvv6z69esrOjpan376qYoUKaL06dPrk08+sbb/66+/VK9ePb311lsJXrYH9c033+iJJ57Q2LFj412MDxo0SLlz59aoUaMS9cZKZGSkGjRooCpVqmjKlClyOByaM2eOJOegbPXr11fZsmXdWgr07NlTlStXdju//Vd9//338vPzs8Ln0aNHlSJFCpUoUUKjRo2ywparyeejfHYErUSwbNkyeXl56d1339XBgwfVokUL5c+fX+PGjbPCwvHjx5UsWTI1btz4ofoUxT3Zz5o1SwMGDNA777xjXdBHRUXp5ZdfVr58+VS1alX16tVLTZs2VeHChT16cf9v3Nm5vEiRIkqTJo3Kly+vjh07WutGjx4th8Mhh8Oh9u3bq2XLltZrS+yw9ddff6lZs2ZyOBxubaHvLMehQ4fUr18/ZcqU6YFDSkL47bfflClTJvXu3dsaKEWSfv75Z/n6+lq1E+fOndNHH30kf39/eXt7a9myZfFqIu7H9V78+uuvypMnj1q1aqVff/3VWj9//nzVqVPHCnuuPluuEdwqVaqUaB2k9+/fL29vbw0YMMDtxHT06FEVL17c6iR/69Ytbdy40bob/t133/2n+rL06dNHfn5+CgwMVIoUKdSwYUMtXrxYkvTHH3+oUqVKVi3AiBEjrDujd16Mz5s3T3ny5FH58uXd+thNnz5dVatWVcuWLe/aVDCpXdTHPTYtW7ZMU6ZM0c8//6wrV67oxo0bCgsLU0BAgGbOnKmYmBidP39eDRo00PTp0zVv3jylT5/e7XvmqbK7nDp1SoGBgW6tHHbs2KFKlSopU6ZMKlasmIKCgqzj6uPY3PxOK1asUJo0aTR+/Hi3Fh+3bt3SrFmzFBgYKC8vLwUGBqpMmTL64IMPlCFDBg0ZMsTteLVlyxZlypRJX3zxhSRnK4XmzZtbNyMSi+siOSYmRvPnz5e3t7fSpk3r9n1y9csaMGCANm7cqA0bNqhWrVoqXrx4on62bdu2lbe3t7y8vKzzX3R0tBo2bKgsWbLo66+/1smTJ7V//37rxmlSu165dOmSqlWrFm+glLjXcYMHD7ZqNhPrGBYbG6ulS5cqMDBQKVOmtPq/uj7XdevWqUGDBsqQIYMaNWqk2rVry8vL67EZdORRxMTE6JNPPtFrr70myXmjNyAgQO3bt1erVq2UPXt2ffTRR27Hg0dB0Epgp06dUpUqVaxR2s6dO6eAgAAVKFBAPj4+bmHrxIkTj9yfqHfv3sqWLZtq166tihUryuFwaPDgwZKcYatbt25Kmzatateu7TY8dlI7eN3NyJEjlTlzZq1YsUI//PCD3n//fZUoUUINGjSwtnHVfHz44YfWMLyeuDi7efOmOnXqpAYNGig4OFjvv/++tc71Xq9bt06dO3dWwYIFk8TB7caNG2revLlb/6vY2FgrEHXo0EFFihSxDtTh4eEaMWKE8ufP/9BNTU6dOqXcuXNr0KBBbiem27dva/r06apSpYpbn4EFCxbI4XBo2LBhidaO/Pbt23r99ddVv359a5mreZjkbFrl4+NjNYG5efOm1qxZo8KFCz/WA83c6fPPP5evr69+/PFHXbt2TVu3btXTTz+tmjVravXq1ZKcza+qVaum4OBgq4nl3Zr5zJ8/XzVr1pSXl5fbMLqSM2xVr15dNWrUSPDaykcR90K0d+/e8vHxUY4cOZQvXz71799fFy5c0JkzZ9SrVy+lTJlS+fPnV548eVS0aFHdvn1bq1atUoECBRKlCdE/ufPYP3/+fPn4+Fh97mJjY7Vz506NHTtWo0ePtrZPaqH3QcXGxurKlStq2LChNVrolStXtH//fo0YMcIacTA2Nlbr16/X4cOHtXbtWvn4+Gjy5MnxgsjJkyfVrl07+fn5qWjRosqYMWOiH9c7d+7s1kLlvffeU9q0aZUzZ063gYquXr2qL774QtmzZ1eOHDlUunRpNWzY0DoGJ9RnW6tWLa1bt876vXfv3nI4HMqcObPbjbro6GhVq1ZNRYoU0RNPPKEKFSqoUqVKCV6+h3H69GnlzJlTCxYskHTvvrzDhg1LtH6mruc9fPiw8ubNq3z58ql+/frxRhQ8deqUxo0bp06dOql///6PxfQTdjl06JD27duna9euqWrVqlaT37/++ktZs2ZVgQIFrIFBHhVBK4FFRERo0qRJioiIUHh4uAoVKmS1+W7YsKHy5cunESNG2NImevXq1fL19bWGWb569aqmTp2qlClTasSIEZKcd1leeeUVVa9eXR988IHbSFNJ2dWrV/X000+7DSt+48YNLVy4UEWLFrVGwZP+rtkaMWKERzvORkdH6/Tp0xowYIAKFy7sVkbJ2YZ/1apVSWauoKioKLc+Bnf67bff1KhRI7e7uNHR0Y/0Hv/www8qWLDgXZvW3bhxQ1WqVFHfvn3dls+YMSPR+921bNlSpUqVskLDtWvXrJP+0aNH1ahRI2tUT1cAvH79eqKWMaG99tpratq0qduynTt36sknn1SnTp0kOQPovn37VLp0aRUvXvwfR4RctWqVKlSooHLlysW7wTRhwgSFhYUl2Wkn4l7obdmyRTVq1NC2bdt09epVvfPOOypXrpy6du1qzZO3a9cuTZo0SXPnzrWCSs+ePVWxYsVEr/GI691331WbNm2sJkWS88KxRo0absfaOyWlC91H9fTTT6tNmzY6evSoXn31VT311FMqVKiQUqdO7TbSoOTsDxwaGmo1K5LcWykcPXpU8+bN04cffhjvBkJCi42N1dSpU93CyA8//KCffvpJn332mfLly6ewsDC3vwkPD7dGwXNdAyTUTddTp07p3XffdWuOPnHiRP34449q2bKlfHx83AY8iomJ0a5du7R48WLt3LnTep+Tyk3huH3vS5Ys6fZ9iTtwimsQGU+4dOmS9u/fr8WLF6ty5cqqVauWFbaS+jWfneK+1jv3n59++knBwcFWc+m9e/eqXr166tSpk9vgJo+CoJUIXBfS/fv3V6NGjawLsd69e8vb21tly5a15WQ7c+bMu/aJGDNmjLJkyaLdu3dLcl5Qd+7cWRUqVNCQIUMeiwvCmJgYVahQId6J7/bt22rVqpVbp3PJWcvgcDg0ZsyYRDmguJ7jjz/+0KZNm7R9+3ar2dShQ4c0YMAABQUF6b333pPkHMb/hRdesK1q+lG5yj9q1CilSpVK1apV0/PPP686deqoYsWKKlOmjIoWLSqHw6HixYurZMmSevXVVx956Pz169crWbJkGjZsmBYuXKgFCxZo7dq1mjlzpj7//HP17dtXZcqU0axZszRz5sxEryFyvS/fffedsmbNqqJFi6p+/foqVaqUgoODrVoKh8Oh9OnTK0eOHHrqqaeSzOdqB9dFQ48ePVS7dm1J7jWdM2bMUJo0aaxO95KzqWVAQIDKly9vbbdp0yatWbPGbfTT1atXq2bNmnryySfj3e11vfdJKWzF7bskSbNnz9Zzzz0X7+bEyJEjVbZsWXXt2jVerdwff/yhLl26KGPGjG43LTxhyZIlql+/vgoXLqxq1app1apVunnzpj799FNlypTJOi8lpc/ADnv37rXC/QcffKDy5csrWbJkat68uWbNmqXp06dbzezjHuOGDh2qkJAQ6/e455bNmzdbtdqJLe4cdpKzH+ALL7xgfX5nz57VJ598ooCAALewdee5MaE/Z9e1yYgRI9wmST537pyaNGkSL2zdydP74d2uJWJiYtSqVSsFBQXphx9+cFvXr18/Va5cOd4k1wldvt9++03bt2+3bmDGxMRo7ty5qly5surUqWPVoo8ZM0bTpk3T7du3/7PBy/W6Vq9erU6dOqlixYp6//33rekNfvzxRwUEBGj27Nm6evWq3n77bT377LO2nsMJWjZyJeV9+/bp559/jneX/sUXX9Rzzz1nXYD36tVLK1eutK3pyLJly5QmTRprQA3XDrZjxw5ly5bN7WB869YtPffcc6pRo0aSGy71bgfTW7duqUePHqpevXq8vkzvvvuunnrqKd24ccPtYDFx4sRE6f/ges5FixapcOHCyp07t8qVK6eGDRtaX9bDhw9r8ODBypIli4oXLy4vLy9rnhBPc5XfdUGxZ88elSpVSj169NDXX3+t2bNna/LkyZo9e7bSpEmjNm3aqGfPnlZwf5jni/s5jRkzRi1atFCxYsXUpEkTNWnSRJUrV1bp0qVVtWpVORwOq1lWYt4ldpXRdbFy5coV1a5dW927d9eePXu0detWbdy4UZs3b1aRIkX04osvaurUqR7rc2OHuAHqTq7RH5csWeK2fOnSpSpTpky848gff/xhDQLQu3dv5cyZUwEBAXriiSdUr149q1nVqlWrVLt2bVWuXDnee5eUTv69e/dW586d3d6jF198Ud7e3goJCYl3w+qDDz7Qk08+qTZt2lg1ezdu3NCXX36p1q1bJ3rIutvonpLzjvzu3btVr149lS5dWuXLl9eSJUtUsGBBDRw48D9VexUbG6vz588rQ4YMatWqlcLDw3Xr1i0dOHDAbfTSa9eu6ZlnnlHr1q116NAhqyb766+/lsPhcLtZIDmPnd27d9eXX36pmJiYRN1vx40bZ/Vncr3GQYMGqUyZMnrllVesWtVz587pk08+Uf78+dWtW7dEK1/79u1VqVIl6/cLFy6obdu2SpMmjVvYunDhgpo0aSJfX1+3iWKTCtdnumHDBvXu3VsdO3a0hu6PiopS2bJlVbx4cb355puaMmWKOnXqJC8vr0T/ni9YsEDe3t7Kly+f0qdPb9W0xcbG6quvvlLVqlVVsGBBvfTSS3I4HEmib3hCW7x4sdKnT6/XXntNH330kfLmzauqVavq8OHDunr1qurVq6d8+fKpYMGCypIlyz+G/YdB0HpEH3zwgVuV8VdffSUfHx/5+/srICDAqsGQpK5duypPnjx644031L59e6VPn16HDx9+4Oe814XQyZMnVaVKFbVv396tadXx48cVGBhoDe/qCoS3bt1KcrOAx31tu3fv1t69e63RXg4cOKCcOXOqZcuW2rZtm9XGvlq1am53lD1x1+vbb7+Vl5eXJkyYoKtXr1oDN1SoUMGqwTxz5ow2btyoDz74INGbldzPokWLFBYWpgsXLujixYsKDAyMd3fuxo0batas2SPPWxX3hOUydepUBQUFWU1yXNt89tlnat26tSIjI60LhsQ0f/58ValSRcePH9etW7f01FNPufVtdHnmmWdsmfcuKZk/f74mT56sxYsXW8eMbt26KU2aNJoxY4b279+v8PBw1alTR3Xq1LnnxeWnn36qrFmzavv27Tp27Jh+++03FS5c2DrRSc6wVrp06SQ3Cl9cW7dutd6HuMftgQMHKiAgQIMHD47XMmHQoEFuczBJzu9RYtd4xn3+hQsXavTo0RozZoxbLaTkHFEyLCxM3t7e1qBC/0XLly+Xj4+P2rdvH29EwD/++EO9e/dWpkyZtHjxYpUqVUrvv/++dYO0ffv2Spcunb755htdv35dFy5c0MCBA+Xj46NDhw4l+mvZunWrOnTooKJFi1oD08TExGjkyJEKDQ1V586d3cLW+PHjlS5dOrfJlBPSypUrlS1bNjVr1sxadvDgQXXr1k1eXl7xwpZrEKmkOKn3okWLlCZNGj399NNq1KiRUqZMqaZNm+rEiRPWgGOVK1dWoUKFVL9+/UQLWa5j74ULFxQUFKRp06Zp27Zt+vjjj5U8eXINGDDA2m79+vUKCwtT06ZN/ydC1unTp1W6dGnrvB0TE2MN+OU6LkZGRmr27NmaOnVqgnyHCVqP4OrVq+rdu7eeeOIJqx1ucHCwpk+fro0bN2rkyJHx5htq3bq1qlatqkqVKj3UkM9xL2YmT56sgQMHqnfv3tq5c6diY2M1f/58hYaGqkGDBlq0aJE2btyoOnXqqFy5cm4nW09Xwd9P37595efnpxw5csjb29saTGLfvn0qWLCgSpYsqcDAQJUvX15Fixa1amM8cQf84sWLevbZZ60yhoeHK1euXGrcuLGKFi2qcuXKJemmZHv37lWePHk0ffp0a79o0qSJypUrZ4XEqKgo9evXT4UKFYp3cfYw1qxZI4fDoYULF0pyXmgXK1YsXpvorl276tlnn33kJooPIm5H4tDQUE2ZMsVa9uabbypdunTWCeqvv/5S//79lStXrsd6dMEePXq4Nb/t3r27fHx8FBAQoKCgILVs2dL6DPr376906dIpR44cCgwMVOnSpa11dzuudOvWzRp501U7cubMGeXMmdPtQn7z5s1J/rgkOeeRKl26tNsUDa+//rrKlCmjd955J94gLZ5uAhn3mNi3b1/lzZtXTz75pKpXr65cuXLd9YJ2y5YtGjt2bJLpD/Mo7tX3aPXq1fL29taLL75oNVtdu3at2rVrp+DgYK1evVrR0dFq3bq1KlasqI8++kjR0dGKiIhQWFiYHA6HChcurBIlSsjf39+jtTC7du2yyu06psbExOj999+PF7YiIiK0YMGCRB39bsOGDfL19dXTTz9tLT906JBeffXVeGHr3Llz6t+/f5KrST1+/LgKFSrkNuT8jh07lCdPHuvYGRsbq6ioKF28eDHRu2SsWrVKQ4cOVdeuXd0GIJoxY4ZSpEihgQMHum3v6Tk7E8u5c+dUunRpXbhwQYcOHVKOHDmsPsWS8+ZSQn9WBK1HdObMGQ0ZMkReXl7q27evunTpYt35unr1qiZOnKgUKVK4DZcbGRlpTf74IO4c5jx9+vRq2rSp8uTJo8DAQL311lu6ffu2li5dqpYtWypZsmQKCQnRU089lSRH64kr7mtbv369/Pz89O233+qnn37Shx9+qAwZMqh79+6SnPOOzZ8/X4MGDdLEiROtE6gnLwrmzp2rn376SefPn1fx4sX1yiuvKDY2Vh9++KEcDocCAwOT5NwUv/zyiz744AO9+uqrkv5uPrh69WqVL19euXLl0tNPP6169eope/bstlxM/Pnnnxo7dqw13KzkHJkuICBAlSpV0oIFC7RkyRK9/vrr8vb2fqS55R7Wzp071atXL7Vo0UKRkZHW+3Ly5Ek9/fTTSpUqlYoVK6aKFSsqT548SbKpy79148YNvffeeypZsqQ6d+5szbGyZ88enT17VjNnzlRISIjq169vvQ9bt27Vt99+qxUrVljHlLt9/2JiYtS8eXO3ERtdx8fZs2fL398/Xh+mpBa27rx5s27dOqsWb9WqVdZyV9h6991349VsJYUmkOPGjVOOHDmsfmauWncfHx+rGefdPsP/QthatWqV+vXrF29wltWrV+uJJ55Qhw4dtHHjRr3xxhv69ttvNXHiRJUoUUIXL17UtWvX1KFDB5UrV05jx461vgPr1q3T1KlTNWfOHB07dswTL8ttv9qxY8c9w9aTTz6pV155Jd6gW54IW40aNbKWHzp0SGFhYcqYMaNb2HLx9L4X9/09ceKE8uXLp40bN0r6u2zbt29XihQp7joPZGKJiYnRO++8I4fDoeDg4Hghavr06UqTJo11DSUljWNSQouNjdWRI0eUK1cuLViwQAUKFFCnTp2s/f73339X8+bN47XesRtBywZnzpzR22+/rcyZM6t48eJu61xhK02aNOratastz3fy5EnVqFHDrc/Vm2++qQoVKrgNI/7nn3/q5MmTSW60nn8yceJEvfPOOxo6dKjb8pkzZyplypSaOXPmXf8uqQTIWbNmqXr16lZzx0WLFqlatWpq2LDhQzUTTSixsbG6deuWypUrJ4fDoapVq7qtj4mJ0ebNm/X666+rZcuWGjJkiC3NHffv36/g4GDlyJHDGqXPdfftyJEjKlmypHx9fVWgQAFVr17dY4MFdO7cWRkzZlRAQEC8myLnzp3TlClT1Lt3b02dOtW2kYk8KTIyUuPGjVPp0qVVq1YtNW3a1ApEUVFRmjdvnkqWLKm6deve9U7ond+/n3/+2QobS5YsUZo0aeJ9d2fNmqWSJUvq8uXLCfSq7DV58mRrdL7Vq1erYcOGqlmzplvY6tGjh3Lnzq3p06d7qpiSpOHDh2vTpk3W72fPntWrr75qXQwuXbpUGTJk0Pvvv6+6desqW7Zs1g2NpBZ07TBjxgw5HA698cYbVs2O63VOmjRJadKkUeXKleVwOKyma3E/w7hh66OPPrK+G55yr/Pd1q1b7xq2RowYoQIFClijDye0u+1D0dHR2rBhg3x8fNzC1uHDh9WtWzc5HA4rxCQlM2bM0Pjx43XhwgWlT5/emictOjra+hwqV67s1nLJEy5evKjRo0crWbJkbrVuLq4m3HaMcJ0UxR3Q4879z7V/xa1RlZzNvkuVKpXgg2wRtGxy4sQJvf3223I4HPHG3r927ZrGjBlj7eSPcidh9OjRCgoKUsWKFd12DtccWUWLFr1rNejjcPI8ffq0NfeXq69GVFSU9X69/PLLKlOmjKKiojwWrFxl+emnnzRhwgR9/PHHbh2j33nnHfn6+lqhtn///urWrdtD1WAmhvPnz6tu3bpW8EnoML5//3516dJFXl5eevPNN63lcfsN7tmzRydPnvRoDeDt27fVr18/ZcuWTQMGDHhswsDDcO3TkZGR+vjjj1WsWDEVKlTIbZuoqCjNnz9fZcqUUdmyZf9xP/nmm2+UM2dOTZw4UVeuXNHVq1f1+uuvK1++fPrss890/fp1nTlzRg0aNFDDhg0fmzurTZo0UcGCBa3f7xW2PvroI4/e+Dl16pS8vb3VrFkzbd261Vq+adMmHTlyRHv27FFAQIDGjx8vyXkTyzUR+INOOv44cYWt/v37u/X3nDVrlkqVKqW8efOqXbt2cjgcbnMzumqwXGGrYsWKeu+995JE06vp06dr1KhRGj16tLUsbs2Wq5bo9u3b+uKLLxJlv4x7rbF582atWrVKR44cscLphg0blDVrVrewdeDAAX344YdJ5maw65h06NAhpUuXzupr37t3b/n7+2v9+vVu21epUsWtP35ile9ufZeHDBkih8NhDdQRV2LNPZmY/vzzT7d9bt26derTp49ef/11ffXVV7p+/bpOnDihp59+Wv7+/pozZ45mzpyp1157TRkyZHioLjwPiqD1EFw7eUREhP7880+r/82NGzf0xhtvKF26dPE6zF+7ds2WIT63b9+ugIAApU6d2hqe0rWTRUREKHny5Fq2bNkjP4+nbN68WY0aNVLmzJmtTsquk8Pbb7+tp556ypPFk+Qc1Sdz5szWZK358+dXr169JDk/n5IlS6po0aJq2rSp0qVLl2RHoXO9rxcuXFDFihVVsWJFLV++3Nq/456U7bwY/vPPP9W1a1f5+flZF3uSErUf1j9xve6YmBh17dpVZcqU0fvvv299z5NK7amd4p64P/nkE2XPnj3eQAhRUVGaMWOG2rdvf88bN59//rlGjBih5MmTK3fu3Prss88UHR2t48ePq3///kqVKpVy5cqlggULqlSpUv/Yt8uT4u7vrjLeuHFDwcHBbgN2fPvtt2rUqJFq164dbzRGT+wnwcHBWr58uXbt2qXAwEA1btxYP/74o9s2M2fOVPXq1a2LruXLl6tz58569913k8yF7qNwfXbHjh3Tr7/+qsOHD1uh6PPPP5fD4dCAAQOsGvo333xT06ZNs4Z2bt++vVKnTm0d06W/+7Ncu3ZNzz77rJ566qlEn/+sffv2qly5svV77969lTFjRlWoUEHe3t6qXLmydUNox44dat++vYoVKxZvkJ7E2i/79u0rb29v5ciRQ+nTp9eLL75oXbO4mhE2adIk3t8llX1w27ZtGjFihHr37m0t27t3r9q2bSs/Pz99+umnWrx4sfU6E2vwDtf+/fXXX6tixYoqUKCAKlasqIkTJ1qfvytsTZkyJVHK5CnTpk1TiRIlrJvd3377rRwOh1q0aKGiRYuqePHiql27tq5du6Y///xTr7zyinx8fBQSEqIGDRo89MjJD4qg9YBcO/nixYtVvHhxBQQEqESJEurdu7dOnTqlS5cuafDgwcqQIcMjT1R3r4uPX3/9VdmzZ1ft2rWtJmqS8+5LQECAW5ORx0XcC5vt27erSpUqyp49u/bt26fLly/rxo0beuqpp+LNl5XYfvvtN+XMmdP6bHft2qX06dNbbZ9v3rypVatW6cUXX9SLL77okf5FD8J10j1//ryefPJJVaxYUStXrkzwC99Dhw6pe/fuKly4sCZOnGgtTyq1G6735fbt23r11VdVpkwZjRw5Mkn2s7OL672/cuWKxo4dqxIlSsSbty7uRdCd+8igQYPk7e2tmTNn6rPPPlPdunXl5+enzz77zAor+/bt05w5c7R8+fJ/7NuVVIwYMUJDhgzRjh07JDlP7K75plzWrVun0NBQvf7665I8tw9369ZNxYsXt0LB77//rsKFC6tJkyZuzcxdc+WdPXtWly9f1tNPP63XXnvNWp+UP4/7cb33CxcuVOHChZUtWzYFBwerRo0a1o3OadOmKUuWLNZARV5eXvEuuGbMmKFUqVKpZ8+ebsuPHz+u27dve2S03pUrV8rPz09Nmza1Prdff/1VV65c0a+//qpChQqpfPnyVoDeuXOnNRmzlPD7ZdzjwYYNGxQQEKD169frwoUL+uKLL1StWjU1adLEqkHYuHGjHA5HvAnpk4Lz58+rSZMmSps2rTWQj8vvv/+ugQMHKnPmzCpSpIjKlClj9XFMLKtWrVKqVKk0aNAgzZ07V88++6zKlCmjHj16WGHrvffek8Ph0LRp0xK1bInp5MmTKlWqlKpVq6Zly5apTZs2Vt/v2NhYLV68WKGhoapXr55Vo3r69GndunXLbdLxhEbQeghr1qxRunTpNHr0aF2+fFn9+/fXE088oblz50r6u8/Wo9xRiHvQ2r59u1asWKHDhw9bnXl37twpHx8fVa5cWVOmTNGqVavUoEEDFS9e/D9xx90VttKmTavg4GB16tRJxYsX9+jogpK0YsUKlS9fXpKzT1Hu3Lnd7nDHrb1KKjU09+PaX86dO6cqVaqoaNGi+vbbbxP8ef/44w91795dRYoU0ZgxYxL8+R5U3LD12muvqUCBAvroo4+STBhMCHFrtsaOHWsNkHG/vwkPD1dQUJAmT57stq5Vq1bKnDmzpkyZctcagKR8rDp9+rSKFi0qLy8v1a1bV6NHj9bVq1dVrVq1eP1td+zY4fFauWbNmumFF16QJA0bNkw7duywLsCbNm2qzZs3S3L21woNDVXy5MlVuHBhFSlS5LEOV3fatGmT0qRJo/Hjx2vbtm2aNWuWypUrp4CAACtsbdiwQcOHD9cbb7yhL7/8UmPGjFH37t21detW6xw7Y8YMpU6dWj169FBkZKQGDx6s0qVLe6z5lWtAiaxZsyo0NFQNGzZ0G9zj999/V6FChdymFNm/f3+C75d3zp83duxYDRkyxK0mSHI2KS5ZsqSGDBkiyRnod+3alWSPAStXrlSDBg2UIUMG60ZLXBEREbp48WKi7g8xMTG6efOmWrZsad3YcRk+fLhCQkKsvoWRkZH68MMP3ab6+S9x7Tfh4eEqW7asatasqbJly2rdunXWNlFRUVqwYIGKFy9utfRy/V1inscJWg8gNjZWt2/fVqdOnaydPCIiQnnz5rVGbZOcX4Zz587pvffee+Q273379pW/v7/8/PysqnbXCCm7du1S7ty55XA41KVLF3Xp0sU6YSbVg5dr5467k9/r/9u3b1ezZs3k5eXl1ibaExcFrnKtXbtW9erV0+7du5UrVy517tzZeq+3bdum7t27W00ek8IFuasMd5u7J+4J2PUazp49qzp16tg+VPm9TvYHDx7USy+9pLJly9rStPbfivu+3FlLdbf35fbt2+rdu3e8OXceN/f6HO72HXQNkJE9e3a3QXbu5ubNmypUqJB19zTuYAGuqRg+/fRT625rUvhu3OluZRo9erQKFSqk+fPnK2/evOrRo4cGDx4sh8NhTRAblyfClmsC8E8++UQlSpRQtWrV5O3tbTWN27VrlwoVKqQmTZpYTbcuXLigqVOnavr06Uli1FY7DRs2TC1atHBbtm/fPpUtW1YNGzZ0uwG2YMECpUuXTnXq1FGhQoWsY7prLp05c+YoZcqUKlKkiDJlynTXC+6Edue5fMOGDQoODpavr691zHTtu/v371eRIkWUL18+t+N9Qu2XFStW1DvvvGP9Hhsbq7p168rhcKh27dpuw4xLzmaa2bNnj1ebkJSuV+IeBzZt2qQ6deqoVKlS1siyMTExifo9v9txqX79+tYNsLjvXePGjVWjRo1EK5unuY5ZZ86csQazubOvXFRUlPLly+fWJzyxEbQewnPPPafZs2fr3LlzypEjhzp37uzWpHD16tWSHv3gMWnSJGXNmtWqfp87d66aNGmiSpUqWSfMX3/91ZrHwXVnKSkdtOKKe3C6fPnyXS9oJfcDy9atW1WnTh0FBAToxIkT8bZNCHcLgy47d+6Ur6+vUqdOrZdfftlt3Wuvvab69esnamD4J67yL126VM2aNVOBAgUUFhamzz///K7bx+2b9KjPuX37dk2ZMkVjx46979Dnhw8fVnh4+EM/54OK+740bNhQhQoV0ksvveQ2yti99s3HWdzXtH//fh09elQRERF3Xe96jy5duqT58+ff8z2YM2eONcJVvXr13EavvHXrlmJjY9W8eXMVLlxYwcHBmjx5cpJvfvnVV19p9uzZ1u+VK1dWt27ddOPGDXXu3FkdO3aUw+FQvnz5klTwvnnzpkqVKqUUKVKoR48ebut27twZL2zF9V/ZxyVnE8rAwMB4yz/99FMVK1bMavZ38OBB5cuXT1OmTLH2/fHjx+upp55Sly5drBrYw4cPa+7cuR4bwt3FFf5iYmK0YcMG+fn5uQ0o4frO7t27V61bt06Uz/THH3+0wpQrPEVFRemll15SmjRptGLFCrfz6Jw5c1SqVKlE7992N64bFPda57J27Vo1atTIrYlgYt4ocj3Xnj17rOd/4YUXVL58eauZsOuz/uSTT1SmTJkkO/hWQoqIiNCTTz6pkJAQffPNN27ratasqWHDhnmoZASt+4o747ZLu3btVK5cOeXNm1dhYWFWqr527ZpatWqlYcOGPdRB7s4L3A4dOrhNrCY555iqVq2aW0fdX375RdmyZVOTJk3izROSFL333nsqX768GjZsqA8++MBafq+wtX37dtWtW1fe3t7x5txJKK4D2M6dO7Vo0SItXLjQuhv/5ZdfyuFwaNiwYdqzZ4/++OMP9e7dW5kyZUpyM61/8803SpMmjd577z3NmzdPrVq1UsaMGd36bNzpUU8iCxYsUPbs2VW1alU1bNhQDodDn3/+eZKqxVi2bJlSpUqlvn376t1331XdunVVqlQpvf32254uWoKI+9736dNHBQsWVKZMmfTkk0+6Dfl8t7Dlcucxbe/evQoJCVHJkiW1aNEi7dy5U3ny5NEzzzzj9vetWrXSli1b1KFDBwUFBWns2LFJagLvuK85PDxczz77rLy9vfXqq6/qwoUL2rt3rxo1aqRVq1YpOjpamzZtUpMmTVS2bFmPNxd0iYmJ0bZt2xQYGKjnn39epUuX1siRI9222bVrl4KCglSlSpUkd5x6GPc6nnzzzTcqUaJEvFFU165dq9y5c1vTbOzevdttXjGXsWPHyt/f3+ODGMXdt1yd/OM26XYNKNG4cWNr2f2+s3aK+1zDhg3Tc889Z/UZv337tlq0aKHMmTNr7ty5OnjwoM6ePasaNWqoRo0aHj0XuN6TuLVtu3fvjndtcWfYatq0qfLnz59oU47EDYKLFi2Sw+GwarFOnjwpHx8ftW7d2m2U6Y4dO6p+/frxahL/S1zvyb59+7R8+XL98MMP1k2IU6dOqWzZsipevLgGDRqkJUuWqF+/fkqTJo1+//13j5WZoPUPXB/osmXLVLlyZWtkk2PHjlmzwcfdduDAgcqTJ89DzTcU90u9bt06XbhwQa+88ooaNWoUr0nHW2+9JX9/f7e7Fr/++qtSpEih1q1bJ5mTv0vc8owfP16ZM2fWe++9p2eeeUZFixZ1C5P3ClubN29W06ZNbZnL6V4+++wztyYnc+bMUYYMGZQvXz75+/sre/bs1onuo48+UtasWeXr66vixYuraNGiSW7S2kuXLqlevXoaNWqU9Xu2bNnite1+VHE/p19//VW+vr6aNGmSJGc/NofDEW9Wek+JjY3V1atXVa9ePQ0aNMha7pp4vFSpUlZfy/+C2NhYt+/fvHnzlCNHDi1fvlxfffWVBg8erCeeeOKB54Dp3bu3mjdvrieffFKZMmVSYGCgJk2apEWLFilv3rwKDg5W8+bNVaZMGRUoUMD6uxYtWqh06dJJptY37nuzdetWXbt2TTdu3NCaNWvk7++vevXqaeDAgerfv7+GDBnidiy+15wtnnTz5k2dO3dOr7/+ukJCQtxuZEnO19iqVaskVeaH5Xr/f//9d23bts0a9c01ZUWtWrWsmsno6Gj16dPH+n4vX75cmzdvlr+/v7777jtJchuu3d/fX++++24iv6K/xf18Pv30U40bN04Oh0P+/v5uA7Fs2LBB2bJlU9OmTRO1fHcGpcWLF1vTssQNW88884wcDof8/PzUvn17VapUyeMjjZ49e1bXr19XSEiIrl+/rhUrVsjX11c7d+6Mt23c17lixQq1bt060WqxXc/91VdfKWXKlKpVq5bq1Klj7acbN26Uj4+PSpcurRYtWqh169ZKnz69x+aeTEwLFiyQn5+fChQooNy5cysgIEBLly6V5AxbrmmCKlasqJdeesnjg5IRtO7DNdnm8OHDrc7E0dHRmj9/vnx9fVWiRAk1a9ZMTZs2VZYsWR7qYjtum/H+/fsrf/78Onr0qEaNGiUfH594s1YvWLBAFSpUiHexsmfPnkQbYvRhrF+/XiNGjLC+EJcvX9akSZNUoEABdezY0druXnfhEnKSyFu3bumDDz5QkSJF1KlTJ507d05169bVtGnTdObMGZ08edKqDXL1F/vtt9/0ww8/aNeuXUlyEsDr16+rVKlS+vHHH3Xs2DHlzJnTLdQuXbr0kQ7Kd+uj4upALDmHcff393cbLOTUqVMP/XyPwnXS+uuvvxQTE6Ny5cqpT58+bttERESoatWqbiOw/ZesW7dOL730klt/q2vXrunzzz9XhgwZ/vUku9OmTZO3t7d27typixcv6syZM6pVq5aqVKmiadOm6fjx4+rbt686deqk1157Ld6NorgjpXpS3Au9gQMHqly5cpo+fbrb6FS9evVSrVq1lDJlSqVLl07z58+/52N4kqscrv386NGj6t69u0JCQqwbLff6m8fJ8OHD3UYpXbhwoTJmzKj8+fMrVapU1hyWp0+fVv369VW0aFHlzJlTNWrUkLe3t9UawXUzpUqVKvEmzb527ZpCQ0M1Y8aMxH1xdzFw4ED5+vpq+vTpGjFihOrVq6cMGTK4zd3oGr2vX79+iVKmuOfnQ4cOWd/n7777TsmTJ1enTp2sZdHR0ercubMcDodbQPRUf8Du3burUqVK+v7771W1alXlzJlTKVKkiPe9jitu2ErsJnmzZ89W8uTJ9eWXX2rFihXKkSOHWxkiIiLUrVs3tWnTRp07d/Z4LWxi2L59u7y8vDRp0iSdPXtWW7Zs0SuvvKIUKVJYA16cPXtWRYsWVcuWLZNEU3WC1j+IiIhQSEjIXWdTv3Xrlv7880+FhYWpU6dOGjp0qP74448Hevx33nnH7S7amTNn1LZtW7fmAQ0aNFDOnDm1YsUKHT16VH/99Zdq1KjxWE30KUnff/+9/P39lTVrVn3//ffW8suXL+vTTz9VoUKF4jWTTGxXrlzRhAkTVKpUKTVq1Eg1atSI15zgmWeeUe7cuRN1aNAHdeTIEV26dEkXL15UlSpVNHr0aOXPn18vvfSSdXF14sQJvfDCC1q4cOFD7Ufbt29X5syZderUKbe/nzVrlkJCQrR7927lyZNHnTt3tp5zzZo1ateuXbwJFhPC3frZzZ8/X88884x+//13tWjRQm3atNGVK1fiNasLDQ197JtevPTSS1ZfvNjYWO3evVsFChRQ+vTp49UuRkZG6plnnrG+f/fbH9544w1VqlTJrVP4iRMnVK5cOeXPn18LFiywtnU9VnR0dJLtB/TGG28oa9asWrduXbwRxK5cuaJdu3apU6dOcjgcbs20krqjR4+qR48eKlOmjAYPHuzp4tiiV69ecjgcmj59uk6fPq0iRYpoypQp+uWXX/Thhx/K4XBYNdV//fWXNm3apLfeeksTJ07UkiVLtGrVKg0dOtR6vOPHj6tIkSIqXry4li9frg0bNuiNN95QlixZrOZIieXO0ftOnTqlQoUKuQW+K1euqG3btsqYMaPVF1xyNgtN6PAyYcIEt2HM+/fvryJFiihz5szq2bOnIiIitGXLlruGraZNmypr1qzx5nRLTPPmzZOXl5fVdNS1v/j6+lpdLu71HnriWuu3336Tv7+/NZLrjh07VLBgQesYdefx9L8ymM39zJgxQxUrVnR7vefOnVOnTp1UpEgR65otPDw8yfShJWj9gz/++EP+/v5WTdY/dZ58ULVq1XK7oJsxY4bSpEmjokWLxqvmbNasmXLlymXVoJUsWdLjw5w/qBMnTmjQoEHKnDlzvBqDy5cva/LkyfLy8tLw4cM9Ur475xAqXbq0MmXKZAUqVzvoAwcOKGfOnIky/PmDio2N1R9//KFs2bJZfTBGjhwph8OhunXrum07YMAABQUF6ejRow/1XLdv37YuDOK2fd67d6+qVq0qb29va6hp13vbq1cvPf3004nSbMx1keR67jNnzqhw4cLW/GerV69WsmTJNHToULe72W3bttXzzz//WJ+0zp8/r/feey/e9ALz589XcHCwihUrZh3TXLp166bq1av/4/HEtW7o0KEqU6aMVfPjep7169crbdq0qlatmubMmWPnS0owe/fuVXBwsDX34IULF7R7926NHDnSalLmsmDBAo+HxbvVQv1TzdSxY8f04osvqn379o/NueJ+3n77baVMmVKjR492G2lXkiZPniyHw6HBgwe77f9//fWXsmfPLofDEW8Qo1OnTqlWrVrKly+f8uTJo2LFiiV6M/A7R++TnINweHt7WzVBrs/Zdbc+V65cWrt2rdu6hNo/Xa0TOnXqpIMHD+rrr79Wzpw5tXjxYg0ZMkTlypXT008/rWPHjmnLli1KkSKFXn75ZWsAq+joaLVq1UoOh+Mf+wcnpLlz51oDcaxatUrVqlXT8OHD1aBBA+XNm9c6ZySVaVkiIiLcWpwcO3ZMWbNm1b59+9zmi3PNS/Zf+X7fyfW6vv/+e/3xxx+aPXu2MmTIYA1qE3dE6Bw5cljvR1JC0PoHR44cUZ48efTll19ay1wHtFWrVlnVlNKD7eRbtmxRzpw5rWZ+O3futA72DofDulMV9wS6fv16ffXVV24jgCXVi8F7nfhPnz6tt99+WwULFnTrHyM5+w99/fXXHr+QcZVl/PjxypIlS7wJko8cOaJcuXJpzZo1Hird/YWGhqpZs2bW59CzZ08lT55cb731lt5880116tRJGTJkeKhJFj/55BO3vzt58qSSJ0+usLAwa1n//v3l6+urYcOG6eTJkzp06JD69eunzJkzJ0on/B49eqh06dLWgAurV6/WkCFD1KFDB7dmBDNmzFCyZMnUokULderUSS+99JLSp0+faLPFJ4Q7j0Off/6527C28+fPV0hIiFq1amXdXb506ZIqVaqk9u3b/6vn2L17t5InTx5v4JBVq1apefPmql69umrWrOlWW59UHTt2TPnz59esWbOsmqugoCAFBwfL4XBow4YN8f7GU8fduMfVPXv2aPPmzYqIiLhvk+rw8PB4TQsfd4MGDZLD4VDhwoWtGz6u1zZlyhSlSpVK/fr1c2tmtWHDBpUvX14lSpSwbqDdORLnwYMHPTKg1N1G75OkatWqqUGDBta62NhY3bp1S82aNVPBggXl5eWVaNOJ/PzzzypdurS6d++unj176rPPPrPWLV26VFWrVlWjRo10/Phxbd26VQ6Hw62Z8q1bt9SuXTuPdW9Ys2aNihcvrsaNG8vhcFgj023btk116tRR3rx53aY1WbdunRUUE0PcIfq3bdvmFkhjY2N15MgReXt7W+engQMHKnny5A99szSpi3stuGbNGmXMmFGLFy/Wzp07FRISouHDh7u1jjl69KgKFCjg1mIqqSBo/b+7HaQuXryoihUrqlatWvEmfXv99dfVoEGDh2qz+/PPP6t48eKaNGmSOnXqpOrVq+vKlSs6d+6cQkNDVbhwYasZ4r1CS1IIJHcTt7xr1qzRF198oa+//tqqxTh+/LjefvttBQYGxgtbLon52lyfe3h4uM6fP28Nd339+nVNmDBBgYGBatKkic6ePav9+/frrbfekq+vb6KNfvhP7tw3XBe2s2fP1pNPPml17r1x44bGjBmjatWqqWLFinrxxRcfqnNoVFSUSpYsqVy5clmB6fbt2/rss8+ULl06tyGlX3nlFZUqVUopU6ZU2bJlFRgY+FDB7kF9/fXX8vLysmrZrl27po8++sjqSH7y5ElJ7nfBOnbsqBo1auj555//T4zG5nL16lW1a9dOpUuXdrvgmTVrlooVK6YsWbKoVq1aatasmcqUKeN2MXc/06ZNU8qUKdWnTx/t2LFDhw8fVoMGDfTuu+9q3759cjgcSe5mxN2OpadPn9Zzzz2noKAgpUqVSmFhYVq8eLGuX79+11oGT4n7mfTv31958uRRtmzZlClTJoWFhf2r79bj2Cfrn7hq6z/99NN46z7++GNlypRJK1eu1MSJE/Xee+9pzZo12rRpkwIDA1W7dm1rW0/XYNw5el+bNm2s49SsWbNUvnx5twmyb926pRYtWuj7779X5cqV1bx580QL/zt37lSZMmWUKVOmeJPML126VNWqVVPjxo31559/au/evUnuZnDbtm2VKlUq1apVy3qPJemnn35SnTp1lDt3bm3cuFEDBw5Uzpw5E61PcdzpgfLmzaugoCClSZNGL774ov7880/FxMTo1q1bypcvn7Zu3aohQ4YoXbp08UbM/C8YO3asWxPu8PBwvf76624D+/Tq1UslSpTQ0KFDra4S/fr1U758+ayarqSEoKW/d/I1a9aoR48e6t69u3WRunfvXvn6+qpOnTqaMGGCli9frrCwMGXMmPGRLsr69u2rXLlyKVWqVG4J/Ny5cypTpoyKFCmSoCPsJYS4J4x+/fopf/78KlSokCpXrqyqVataA0YcP35cQ4YMUZEiRdS9e3dPFdft4Fa8eHEVKlTImpz14sWLioqK0oQJE5QlSxZ5e3urfv36aty4sUcmrYwr7txHktxOGJKz6ViBAgXUrVs3t+WuGp5HqWm4fPmyatSooTx58lh31m7fvq0vvvhCqVKlcmsW+scff2jp0qX65ZdfEm2eLNfQzidPntSyZcvUt29fXb9+XZ988okcDodGjRoVr/+W62LgcaiB+Sd3u5A+ceKEunXrpvLly7tN5Lhw4UIVLlxYTz75pNWcUnqw92DBggXy9fWVv7+/cubMqZCQEN24cUNHjx5VwYIFk9ToV3Hfm+3bt2vlypU6fPiwbt++rUuXLmnTpk1u/Ueio6NVvnx5a/TMpGLs2LHKmjWrvv32W504cUITJkxQlSpV9Mwzz/xPdIS/0+DBg5UiRYq7zg04Y8YMZcyYUa1atVJoaKjKly+vl156Sd99951y5MihevXqWdt6qqbvXqP3vfzyy7p06ZKioqI0atQolSxZUkWKFFHXrl1VunRplShRQtHR0XrxxRfVsGHDRC3z7t27FRAQoFq1asWr/V++fLmKFCmivn37WsuSQthyzelXpkwZPfPMMwoKClK3bt3cbqD//PPPatKkiXx8fFS4cOFEDzGrV6+Wt7e3Pv30U0VFRWnlypVyOBxq1aqV1a+sbNmyypMnj1KnTu3x65CE8Pbbb8vhcFi1nrt371ZwcLACAwM1b948t2379OmjMmXKKGXKlCpTpox8fX2T3MjPLgSt/7d06VKlTZtWtWrVUkhIiFKkSGF9sL///rsaNWqkggULKn/+/KpYseJDtwN11db07NlTDodDgYGBmjx5slu/lXPnzllzAXhy7P+HNWrUKGXPnt2q+n7vvffkcDhUtGhR627D8ePH1atXLz333HMebc6ydu1apU6dWmPGjNHixYv14YcfKn369OrSpYsuX76s69eva+LEiSpQoIDatm3r8UEwBg8erNdff926IP71119VtmxZNWzYUIcOHbKa0SxYsEB58uRx62fyTxMx30/cYcLPnj2r0NBQa9ALyT1s2T18/IPYsmWLSpUqpbp168rhcLgNzDB8+HAlS5Ys3sXzf+FO/51zwhw6dMgK5MePH1dYWFi8sDVnzhxVqFBBL7zwwkPfNDp58qS2bNmi7777znof+/fvr8DAwCR5Z7Fv377y9/eXn5+ffHx81KRJE7f+ateuXdOBAwdUv359hYSEJImLRJeYmBg1b9483mTE8+bNU7FixazRBf8L+/ODGDx4sJInT+42aua+ffuUO3du67u+b98+pUmTxmpG+/333yt//vwKDQ31SJml+4/e17FjR125ckXR0dH64Ycf9NJLL6lZs2Z6+eWXre9769at1alTJ0VHRyfqefSXX35RSEiIOnXqFK91xI8//pjkW9xMmDBBhQsX1muvveZ2jRUdHa3du3cn2o1Bl8uXL6tz584aMmSIJGefuPz586tFixby9vZWw4YN9fPPP+vpp59Wjhw5ktRNLLucPn1awcHB1oigrtfo6tvXs2dPtznDJOf3ZsGCBVq2bJnHJxT/JwQtOUfdGjVqlDW6y8WLF9WrVy+lTJnS6tR9/fp1Xbp0SSdOnHio4SLvPPn99NNP2rNnj7p06aJixYpp7Nixbp3yz507pzx58uj5559/hFeW8N5//323Nu0nTpxQkyZNrOFSV6xYofTp06tPnz4KCQlRiRIlrJqtiIiIR7r4fxSu53v55ZfVqlUrt3WuIf1dTSP++usvffrpp27ttz1lyZIl1oktKipKf/31l2bOnKlKlSopICBArVu31saNG3Xs2DHVqlXLGu74UU98cTvfNm3aVDVq1JDD4VChQoXiha306dPH63CemLp06aKUKVOqatWq8UYOe/fdd5UsWTLru/6469Kli3W3U3KGHD8/P+XLl09ly5a1bggdO3ZMYWFhqlChglszwrlz56p8+fJq2rTpI5+89+7dq7Zt2ypLliyJ0kz0QU2aNElZs2bV+vXrdeHCBc2dO1eNGzdWpUqVtG3bNknOOYsaNmyoypUrW03KPHXReOcxMSYmRs2aNdNLL70kyb1cr732mgoVKpSkgqHd/ilADhkyRA6HQ7NmzZLkrB0ICQmR5LxozZMnj9uottu3b9e6devcRilLLA8yel/Hjh3vOkrrjRs31KtXL2XJksVjN2N37dqlUqVKqVOnTnetTfV02HJ9f37++WctXLhQc+fOdesfFjds7d+/31PFlOQ8l8+bN8+6WRoSEmJNeTNnzhw5HA61adNGS5cuTRLXIQnh9u3bqlu3rpo0aaKpU6fKy8vL+lyee+455c+fXzNnzowXth4H//NB65dfftETTzyhkJAQt8EtoqKi1Lt3b7earYd15wzvCxYssOaSkpwX+66wFTfEXbp0yeMHq3/y008/KSQkJF4ZXXcXduzYody5c1vznrhOhj4+Pm7hLKFDVtz333Xx5KoRatKkidq2bSvJfQjqd955RwEBAbp48WKilPHfuHNS6w4dOrgFialTp6pDhw5KkSKF+vTpo2LFiilz5sy2de7+7rvvlDp1ak2ePFk///yz1q5dqwoVKihv3rxuYeuzzz5TtmzZ4jVxTGiuz65OnTrq0KGDihQpohdffDFec4L3339fDodD06ZNS9Ty2e3gwYMqWbKkChYsqJMnT2rXrl3y9/fX2rVrNXPmTDVv3lzp06e3mkEfP35c3bp1U0BAgNuQ0TNmzNBTTz31SP0RoqOjtWvXLvXq1cvjk0O63Hlh3qFDh3hTSKxfv15PPfWUevXqJclZ87Fo0SKPDzgU97t+50V5lixZ4g1bPGnSJFWrVu2xb/7q4nr9Fy5ccDsn/tP5cPjw4VZTsG+//Vb169fXkSNH5O/vr86dO1t/+8MPP2jgwIE6evRool+0PezofXHD4KFDh9S7d28VLVrU402ldu3apbJly6pFixZJZijtuBYsWCBvb2+VLVtWqVKlUrly5dz6hk+cONE6TyT2cP53cg1q88UXXyg0NNQaiGPOnDmqWrWqcuXK5bF5KBNDTEyMli9fbg1ENG7cOLf1LVq0UJEiRfTFF19Y39ukcF32b/zPB63w8HC1a9dODofDqr1ynaBv3bqlfv36yeFwaMmSJQ/1+Hd2Ys6ZM6dKliypNGnS6Pnnn7eqqF9++WUVL15c48aNizeXS1IMW3fWRC1dujTencEPPvhAzZs3t74U06ZN07PPPqt+/fol+ms6ceKE9V5/8803mjp1qiTnRbe3t7c1+Ijrwmrq1KkqWbKkx++exL1YdF1ExcTEaOXKlfLy8tKrr74ar538ypUr9dxzz6lQoUJyOBy23bEdN26cKlas6HYxd/bsWZUvX16BgYFuA2TErZ31lHnz5ikoKEgvvvhivBqW0aNHxxvg5nG0fft21apVSwUKFNCYMWP04YcfWuv+/PNPNW/eXOnSpbMuyP788099+OGH8b5/dk3q6OmBBVzuvClx4cIFvfLKK2rUqFG88PTWW28pZ86c8QY28lQTvDtvzBUvXtwtGFesWFGFChXSr7/+qnPnzun69euqXr26WrZs6YniJpglS5aoSJEiKl26tBo1avRAc9sdOXJEadOmlcPhiDedSLdu3VS7du1EmWbibh5m9L475/L85ZdfkszE39u2bVOHDh2SXJPV3bt3y8fHR59++qmuXbumEydOqG/fvipbtqzVRE9y9nssW7ZsojcXvJehQ4eqaNGi1k3e/v37a9y4cf+Zmyj/5Ntvv1XKlCmtrhp31ua2aNFCJUqU0JQpU+472mpS8j8ftCRnP4O2bdsqffr02rp1q6S/T9RRUVEaNGjQI1+UjRgxQtmzZ7eaqIwbN86aANP1Be/SpYuyZcv2j7OUJxVxL9TCw8PlcDj04osvuh38e/bsqVy5cunGjRu6deuWmjZt6naAS6ywFRkZqQYNGqhKlSqaMmWKW6g+cuSI6tevr7Jly7pNON2zZ09Vrlw5ScwqfvjwYetu28KFC9WvXz9J0qJFi+Tv76+XX345Xi3CpUuXdPDgQVvvMg4dOlQ5cuSwfnddVH/99ddyOBzKlStXonfIjzsk7vbt2635kFzihq2kOL/Gw4obJH766SfVr19fyZIl0xtvvOG2/siRI2rRooW8vLysY5vL7du3H5s7gg8ibtjr37+/8ufPr6NHj2rUqFHy8fHRDz/84Lb9ggULVKFCBevCxpPiXqzOmzdPnTp1UqZMmRQcHKwvvvhCkrPJdfXq1ZU5c2YVLFhQJUqUULFixR67uRXvJm5zrwwZMmjIkCEaPny4ihQpoqCgoAe6abRkyRKlS5dO/fr10x9//KE9e/aod+/e8vb29vjoog87el9S/Wxd5UpKYWv+/PkKDAx0C9RnzpxRjx49VLFiRbfaIU+F7rvZtWuXUqdOrYoVK6pGjRry8vL6T/bJuputW7dq6dKlmj59up588km1atUq3kTetWvXVmhoaJK4mftv/U8FrbgXHwcPHnTbeSMiItSqVau7hq1HderUKbVr187q5Ldw4UJlypRJb731lry9vdW4cWPrSz9y5MgkWYN1L++9954OHDig9evXK3Xq1OrcubP1WlwDE2TPnl0lSpRQUFCQR04YsbGxWrp0qQIDA5UyZUqNHTvWrQzr1q1TgwYNlCFDBjVq1Ei1a9eWl5dXkuhncuPGDbVs2VLe3t4aO3asHA6HZs6caa1fuHChFbbi3gxIiPf30KFDyps3r9u8TJKz83OTJk3UoEEDt7Ca0O41JO6dTSpdgwU888wzj/UcWXeK+xlv2bJFderUka+vrzWvimv90aNH9dRTT6lGjRqSktbFkJ3eeecdt7u+Z86cUdu2bd0mF2/QoIFy5sypFStW6OjRo/rrr79Uo0YNNWzYMEldxPbr109+fn4aM2aMhg8frqJFi6pcuXJuNVuzZ8/WlClTNHXqVI83dbTTjh07tG7dOg0bNsxadvz4cZUvX15BQUH/em6j27dva9q0afLy8pK/v7+CgoJUokQJjze3c3kcR+/7J0np+yM5W3bkzZvXugnpOu4dPHhQDodDK1eu9GTx/tHmzZv1/PPPKywsLMk0xU4IcfeZuOel6OhoTZgw4Z5hKzHnN7PD/0zQcn2gS5YsUXBwsAoWLCgfHx+99dZb1knq7NmzatWqlTJlyhTvruejuHHjhhYtWqS//vpL27dvV968ea1BCj788EM5HA5VqVLFbWdKqmEr7pdh+vTpypYtmzU8/bfffqvkyZOrU6dOOnfunGJiYrRlyxYNGzZMw4cPt04Unpgn6/Dhw8qbN6/y5cun+vXrxxsR7dT/tXfncTWlfxzAv6e0aUFEi7RQimiRSaYsYx1lp0EYaSH7VlGWUEL2bGEG09jXJlv2PWT9DcPYCoVqZFpU2j6/P3rdM12ZGTMT9958339x7onndu855/k+z/P9PqmpiIqKgq+vL6ZOnSpX1R4fPnyIZs2aoVq1ali4cCGAsipz5QtU1K9fH6NGjaqUkdryo8rbtm3DpUuXxFnJWbNmwcnJCdOmTQNQNlsYEhKCAQMGyGRpw1+VxC2f4BwTEwMnJye5WW5TWco/qBITE9G+fXuYm5tXCLZevHhRZQMsAOjUqROcnZ3F5WWbN2+GhoYGbGxsKnRU+vTpA2NjY9StWxe2traws7OTq9mgu3fvwtzcXCqP98aNG/Dw8ICtrS1+/PHH9/6cvD4z/omsrCyYm5tDEASMGjVK6rWnT5/iiy++QLNmzf7RJq3Pnj3DuXPncOPGDZlsRvxXFLV6n7yRXLc3b94Utzt58OAB6tSpgylTpkgtM0tPT4e9vf17NyOXJyUlJXJxP/pYyu9lGRAQgO7duyM2Nla8touLi8Vga/Dgwe8tCqMoqnygVf6LeujQIWhra2PVqlV48uQJ1qxZA0EQMHHiRPEBnZ6eDjc3N9SvX79S14BKHuQRERFwc3MT87CioqIwZMgQdO3aVaE6QufPn8fIkSPFXCfJA0ESbPn4+Lz3wpDVg+P333/HvXv3sG/fPri6uqJTp05isCXvN7OMjAzY2trC0tISZmZm4qzR27dvxbbv3bsXGhoamDBhQqUEPPv27YOGhgasra0hCALGjh2LpKQkZGVlYc6cOTAxMYGuri5sbW1Ro0YNmcz+/V1J3J49e0rN8snDMtCP4d1lhB07dkSjRo3eW+5Wke4xHyohIQFGRkZiRbFr164hNTUVnTp1giAIiI+PByD93k+ePIkdO3Zg165dcjcblJKSAgMDA2zdulXquCTnpGnTplIzW/J+//onSktLcfHiRTg7O6N58+Zi3pzkPT579gyWlpZwcnKSm8/rv5L36n3yrvzKBkNDQ4SEhIj9q927d0MQBEyYMAGXL1/G8+fPMXXqVBgYGCjcrEhVtHfvXmhra2PYsGEYOHAgGjdujDFjxoiDDsXFxYiOjkaTJk3g7e2tsM+vKhtonTt3Tqqjn56eDg8PDzGp9OnTpzA3N0fnzp2hrq6O0aNHizf1jIyMCpvA/leSm4GXlxdcXFyQlZWF/Px8uLu7i0sKAcXoCJ09exbm5ubQ1dUV9y4pKSmRCrbU1NTQv39/sZT7pyb5fd+5cweJiYlifk5JSQm2b98OV1dXdOnSRcyPW7p0KTZu3CiXeSuFhYV4+fIlbt++ja5du8LExETsVJYPqk6cOPGvl+6VHz179uwZunTpgujoaOTl5WHLli2wtLTEsGHDxFLiL168wLJlyxATEyOzjbU/pCRut27dxN+JvH2u/8T7tkH4sz8nJiaiS5cu0NTUlMu9rCrbjRs30Lx5c6xduxa+vr746quvkJOTg4yMDDg7O6Nx48bid+DP7q+y6sz+2SbTdnZ2CAkJkRpMAYDu3bujdevW6NKli9QeeYrqfddkYWEhrly5goYNG0qV2Zecm5KSUuVKXMt79T55d+DAAWhoaGD9+vUVVi3s378fRkZGMDQ0hKWlJRo0aCBWYmWyc/XqVZiamorFYAoKClC9enWYmJjAx8dHHCQtLi7Gd999p9DXfJUMtE6cOAEzMzPMmDFDTHDOysrC6tWrkZycjLS0NDRr1kzcjyQsLAyCIMDX1/cfVTb6NxISEqCiogIbGxtYWFigWbNmcj8y976HYUREBPT19eHm5iaOnJcPtuLi4uDq6irTwFFS2tXMzAxaWlrisrvS0lLs2LEDbdu2hYWFBXx8fCAIgswTpCUkv+/U1FQ8f/5capnMlStX0LVrV5iamooBzoIFCxAcHPyvAol3Hzhnz57FlClT0K9fP6mBCklisZeXl1wVlfirkrjt2rWDiYmJXG9k+CHKX0NZWVlSfy8fIJT//C9cuIDx48d/NqPhgYGBMDY2hqqqqriUGSgbNHN0dETTpk1lNiDwZ8p/jk+ePBGXWwNle/woKSlh1apV4gDgmzdv8M033yA6OhqNGzdGaGioTNpdWSTf10uXLmHlypWYP3++1D5HiYmJMDc3h6urq9wXg6gM8lq9T95J8piDg4MBlF0njx49QlhYGPbs2YPCwkK8ePECFy9exNGjR6t0iXRFcuzYMXHz9aSkJJiammL06NFYtWoV1NXVMWLECLnJp/yvqmSgBZRVjXN0dMSsWbPEddmSpUNRUVFo27atOJuxcuVK2Nvbw9DQ8JPkcFy7dg0hISFYsGCB+ACR12Dr3QTFnJwc8e+RkZGwsbFBQECAOANYPth637/xsZXff8Xa2hobN27E5cuXsXz5cigrK4u5RaWlpTh58iRGjx6N3r17y12QFRsbC0dHRzRq1Ai2trZiAQ+grAPi5uYGNTU19OvXD4Ig/Kule+vWrUO3bt2kKi4tXbpU3Ovs3UpHu3fvltuiEn9WEldeyo1Xhnnz5sHJyQnu7u6IjIwUj/9dMFWVgy3Je5s0aRIEQYCVlRXWrVsn9Z3OyMhAy5Yt0bx5c7nKvZSYPn06zM3N0axZM/Tp00cc7AsPD4eysjI8PDwwYsQIuLi4wNbWFgAwePBgdOnSRWE75eXzS+vVq4fWrVujXbt2UFdXx8GDB8XzEhMTYWlpqRADkpVBHqv3ybu8vDw4Ojpi7NixePXqFcaMGYO2bduifv360NPTk6p0zORHZmYmHj58iKKiIvTs2RNeXl7iNd6sWTPo6elhwoQJUvnoiqrKBVrlO1ZTpkyBi4sLQkNDpTaeHTVqFFxcXMTzAgICsHr1apnV5ZfXB0j5m/3SpUvRo0cPODs7w9/fX1wDHR4eDnt7ewQGBoojRe9b5vQpHTlyBHPmzMGYMWOkZig3b96MatWqiSNfEvK2P8WBAwegqamJZcuW4dKlS5g1axYEQcD8+fPFc5KTkzFv3jz4+/v/660HkpOTxaWA5Uf5Nm7ciDp16mDChAkVpuu3bNkil0UlqmJJ3PLX36pVq6Crq4t58+bBw8MDNjY2UpvvVuVg6n3e7YheuXIFP//8M/z9/cXN38uX/83IyICJiQkGDx78qZtaQfm27969G3Xr1sW2bdswb948ODg4wNraWrxvbd++Hd7e3ujcuTO8vb3F425ubuJosKI6f/489PT0sH79egBlo9qCIEBHR0cqPy0hIQF2dnb/qACGIlP0TqUsSIrf6OjooHfv3mIO44QJE9CuXTsOXOVYRkYGmjdvLhb5ef36NTw9PTFnzpwqc81XuUBLcpNKTEzEwoULYWxsDD09PcydO1cMtg4cOAAlJSX069cPvXr1Qo0aNap0Cc3/atq0adDX18fChQsRFxcHQRDQp08fMTANDw+Ho6MjRowYIfOqTiUlJZg7dy4EQUCTJk0qBFGbNm0Si0ZIyNODLSUlBV27dsWyZcsAAM+fP4epqSlatWoFJSUlqZLHQOV0sBMTE9G2bVuxsAlQNutrZGSEqVOnVrjZyWtRiapaEvfkyZNYsGCBWIUuKysLa9euRaNGjcScNODzCbbe3dB39+7dUhX6RowYIQZb5b+rv//+u1z9jrZt24YNGzZg48aNAMruQ4mJiWjevDmsrKzE+2v5AcBXr14hODgYderUUegNtwsKCrBkyRLMnDkTQFnOtLGxMfz9/TF69GhoaGhg3759Uucz9lfu3LkjbuUguUeMHj0aQ4cO5e+PHHv06BFsbW0xc+ZMXL9+HbNmzYK9vb04mF8VVLlAC/gjkJo3bx6WLl0KNzc3NGzYEKGhoWIJ9S1btqBTp04YNGiQwo98f0z/+9//YG1tjZMnTwIATp8+LSadlhcQEIBhw4bJRdCSmZmJJUuWQElJCStXrqzwenR0NOrUqSOzQh1/5fXr15g7dy5SUlLw4sULNGnSBH5+fsjOzhZzySo7N+PRo0do164dOnXqJLVH14oVK2BkZISQkBCpBG15+Iz/TFUriXvu3DnUr18fderUkco9ysrKQnR0NCwtLaVmtqq68p/t1KlTYWRkBDs7O2hoaGDw4MHicvARI0agefPmiIqKqvDAlodg68GDBzA2NoYgCFi3bp14XBJs2dnZoWnTplJB1vPnzzFu3DiYmJjIxR5//9S71+XVq1eRmJiI3NxcuLi4wNfXFyUlJfjll1+gpqYGQRCwe/duGbWWKbK7d+8iODgYNWrUkJu0gM/VhzyP58yZAzMzMzRo0ACGhoZVrlhJlQq0SktLkZeXhy5dumDcuHFSr40bNw6mpqaYO3euuH5fsjcQ+3Pnzp1Ds2bNAJSVT9XS0sLatWsBlI0Q79mzRzxXFksGJf9XdnZ2hXLys2fPhiAIiI6OrvBz8jxaIlnyFB4eji5duojva+7cuWjUqBH09PQqPUhMSkqCm5sb2rdvLxVsrVy5Eurq6pg9e7bcLnGtyp49e4aZM2dCV1e3wj0tKysL69atg46ODiIiImTUQtlYsGABDAwMcPnyZQBlM7CCIKBnz55isOXv74969eph165dsmwqgIr3xPz8fOzfvx82NjZo1apVhXOvXbsGAwMDeHp6Sh1/+PChQpallrz/U6dOSeUXAsDPP/8Me3t7XLlyBUBZEDp06FBMmzZNoWftmGxcvXoVAwcOhLW1tVwVbvrcSK55STEfifIrEsr/+fLly0hISFDI+9vfqVKBloSbmxv8/f0BSOc/derUCfXr10dAQIBCb372sbxvHfPjx4/RvHlzhIaGQkdHRwyygLKlWq6urlKjq7IIsmJjY/Hll1+iUaNGaN26NdasWSMGUnPmzKkwaiwvJO3/5ZdfEB8fj+TkZHEEu7i4GAMGDEDPnj3F8ydOnIg1a9ZIFSSpTI8fP35vsBUdHf2vy8azD/dneQTPnz9HaGgoLCwsxKVWEr///jtiY2PlYpbmU0lNTcW3334rbouxZ88e1KpVCzNmzBD3T5PkHC5cuFDmv5t3P1fJcubCwkIcOnQI5ubm6Nixo9Q5paWluHfvnszbXpl2794NXV1deHt7S3WAT5w4AUEQcPHiReTn52PGjBlo3769zHKmmWLLy8vD2bNn8fTpU1k35bN36NAhuLu7o0+fPlizZg1yc3MB/HmwVVVVyUDLy8sLjo6OUp1WAJgxYwYMDAzQrVs3mecSyZvyAVJUVBSuX7+O0tJSMTFRU1NTKvm6oKBAvIBkeaEcOXIEqqqqmDlzJrZv345vvvkGjo6OmDhxojgzNG/ePAiCIOZCyJNdu3ahbt26qFevHho2bIg5c+YgLS0NQFlVwGrVqmH8+PEYMmQIdHV1ce/evY/aHkmw1alTpwrLQ9nHU/4aOnbsGGJiYhAbGyvOvj99+hShoaGwsrKqEGxJVKVO+V/Jz8/H3r178fr1ayQmJsLU1BTLly8HACxevBiCIKBNmzbiMnFAPvbJWrFiBb799lu4urpizZo14rYDhw4dgqWlJTp37vzef0PRPtf3Vc67fv06ateu/af3lAEDBkAQBNja2kJHR0chl0Yyxv5w4cIFqKioiAVJWrVqhWHDhol5s59DgCVRpQItyQ0+PT0dBgYG6NOnD968eSMenzx5MtasWSMuLWFlyn/h09PTYWxsDDs7O3Ft89mzZ+Hs7AwXFxeEhYVh+fLl6NChA2xsbMSll5/6oikpKUFBQQH69++P8ePHS70WEREBe3t7cTPl7OxsLF68WG6WoUi+j48fP4arqyuio6Px5MkTBAQEwMnJCePHj0d6ejqKioowf/58tGjRAt26dftkyyCSkpLg4uKCHj16SFVuYx9H+UGOoKAgNGzYEJaWlnB1dUXbtm3FZaJPnz7F7Nmz0bRpU6liLp8jyX0nIiICbm5u4gx2VFQUhgwZgq5du8rVgzwwMBC1a9fG6NGjMWzYMOjq6sLT01PMRTh48CCaNGkCe3t7Gbf0vzt16lSFYz/++CPat2+PvLw88XN5N4DctGkTNm7ciIcPH36KZjLGPpL79+8jMjISixcvBlB2ra9YsQLOzs4YMmSIGGwp2iDSv1WlAi3gjw7/hQsXYGhoCFtbWwwcOBAeHh5QU1OTu00r5UlQUBC6d+8OZ2dnaGhooGHDhuJ+SadOncKkSZNgbGyMrl27wtvb+5PvAfa+ZYndunWDn58fAOmLtmfPnujQocMnade/cf36dQQEBGDo0KFSa5jDwsLwxRdfYMKECeLy1uzs7ArrnD+25ORkXnrxiS1atAgGBgZISEgA8MdMrI2NDV68eAGgLNiaPHkyBg0aVKWKfvxTkvfu5eUFFxcXZGVlIT8/H+7u7uKSQkA+Rk0ls24XLlwQj8XHx6NFixbw8vJCfn4+8vPzsWvXLgwcOFAu2vxvxcfHw8DAAOnp6VL344ULF8LQ0FBc9vzu5tqMsarh/v37aNOmDYyNjfH999+Lx9++fYuoqChxZutzGsStcoFWeZmZmRg7diwGDRqEAQMGcPWZv7B69Wro6Ojg8uXLSE5OxrVr19C6dWuYmJhIbU77bn7QpyyQIHk4//zzz+LSkqFDh8LJyUnMe5A83FeuXAlHR8dPHqD8FUn709LSMHz4cNSsWRNWVlbIy8uTOi8sLAytW7eGt7e3uIyQVS3z58+XWr787Nkz9OrVSyzccOjQIWhpaSEgIAD29vawtbUVZ7bS0tJkvledvEhISICKigpsbGxgYWEhlxvbJiYmwsjISJyRlnxmhw4dgoqKCs6cOQNA+l6qqMFWenq6uGKkfKXS/fv3w9zcHLt27RLvd5IKoX379sWqVatk0l7GWOXKzs7GlClTYGhoiH79+kk9owoLC7F69WpYWVlh5MiRn83zS+ECLckHk5+fX2E/n79KsOPqgn/44YcfKgRMkyZNgoeHh9SxtLQ0tGzZEtbW1mKQWv7C+FQXSWlpqfh/7d27F4IgiLNYKSkp0NPTw8CBA6UCFm9vb3Tr1k3u9s+QbCvw8OFDBAQEwNjYGKGhoRVGd4KDg9GxY0de5loFXblyBfb29hWWTRw4cABPnjzB1atX0aBBA6xZswbAH9Uz9fT0pIKzz+Uh9XeuXbuGkJAQLFiw4JPPsr/rfQHw5cuXoaWlJe7xU/6eZGVl9d4tKBTd48ePoa2tjfDwcPFYx44dYWFhga1btyIjIwMZGRkICQmBoaEhF9thrArJycnBjBkzYGdnh6CgIKn+d2FhIdatW4ekpCTZNfATU6hAS/LwiouLg7u7OywtLeHj4yPm4gB/PhLInZIyO3fuRPPmzSv8nry9vdGkSRPx75KOyvfffw9BENC8eXNxKdmnXlcr+ex27NgBFRUVdOrUCV26dBFnsU6fPg09PT20aNEC/fr1w8CBA6GlpSU3+6OVL3PaoUMHLFq0CEDZd3XMmDFo2bIlIiIiKgS/XBmz6nm3Ix4XF1dhiWZkZCT69u0rDhxs3LgR33zzDYKCgj6bNe3/hayCrPKbo79bMW/YsGGoVasW7t69Kx7LzMyElZUVtm7d+sna+DFJvtM3btzA2bNnMXPmTNSuXRsLFiwQz+nZsyesra2hra0NJycnGBoa4vr167JqMmPsP5Bc83fv3sWhQ4ekyrNnZWVh2rRpcHJyQlBQkNytNPiUBAAgBXLw4EHq06cPTZgwgWrUqEHnzp2j9PR06tGjB82aNUvWzVMIpaWlpKSkRBcvXiQrKyvS1dWlK1eu0MCBA2nIkCEUGhoqnnv48GE6ePAg3bhxg0pKSujSpUsyafO2bdtoyJAhtHnzZtLV1SUfHx968OABVa9enYiI0tPTKSwsjDIzM0lTU5PGjx9PTZo0kUlb3+f48eO0du1aUlZWpkWLFpGxsTEREZWUlND48ePp8uXL5OHhQSNHjiRtbW0Zt5Z9LCUlJaSsrExERGlpaWRgYEBeXl4UFhZGBgYGREQ0efJk2rVrF92/f5+UlZXpm2++ITs7O5o5c2aFf4PJ3rlz58jV1VX8++LFi+n06dOkrq5ONjY2NHPmTMrOziZPT086efIkhYaGkqqqKsXHx9Pz58/p+vXrCv15FhcXU7Vq1Yio7Pns4eFBx44dIxMTE9q4cSNFRkZSSEgIBQYGEhHRxYsX6f79+6Srq0t2dnbUoEEDWTafMfYvACBBEGjv3r00ceJEUldXJzU1NTI1NaVZs2ZRixYtKDs7m+bPn09nz54lOzs7WrZsmXiv+KzIOND7YKWlpcjNzcXXX38tVd74xYsXmD17NhwcHKSSoFlF5cvuXrlyBYIgICwsDLm5ucjJyUFISAicnJwQEBCA3NxcJCUlwd3dHYGBgThx4gTq1Kkjk8TlO3fuoH79+uJeWFevXoWFhYVYaezdUX55HDnZu3cvtLW1oaOjg+TkZACQyisbN24cGjVqhGXLlvHs62dg3rx5+PXXX3Hy5EmoqanBz89P3PspISEBDg4OMDAwgK2tLaytrcXvNH835Et4eDiaNWsmzkotWrQI2traCAoKQr9+/WBlZYUvvvgCRUVFKCkpwbRp09C8eXM4OzvDw8NDXFKjiDOVK1askMrDev36NWbNmoWFCxeKx9LS0jB37lzo6OhIHWeMKb7jx49DV1dXXP68adMmaGlpwcHBQewrZmVlYdy4cejYseNnm3Mu94GWpGPx+vVrlJSU4IsvvkBAQIDUOWlpaWjbti3GjRsniyYqhPd10BYvXoxq1aohLCwMpaWlyMjIQHh4OMzMzKCpqQkTExM0a9YMAHDz5k2YmprKpKBIWlqa1DLAJ0+eoE6dOvjll1/E97Vnz54KyebypLCwED/99BNq1KiBIUOGSB0HyjpaU6ZMkeq4sKqj/FLdTZs2oV69ejh37hwA4OjRo1BWVoavry8yMjJQUlKChIQEhIWFISIiQgyyFLEzXtXdv38f7u7uaN++PTZs2ICBAwfi0KFD4uuXLl1C06ZN0aZNG/FYZmYmCgsLxfuUPA4M/Z3p06ejdu3aYhXfO3fuQENDA5aWltixY4fUuZJgq3bt2ggLC5NFcxlj/9H3338vlUuek5MDT09PhISEAACeP38OExMTuLu746uvvoK9vT2uXr0KoKxAhqSY0+dI7gKt9yUT79q1Cx4eHrh79y769esHT09P5OTkSJ0TEBAAZ2dnuSt+IA/Kd/LezR1YsmSJOLNVXFyM4uJiZGdnY8eOHTh16pTYuZsyZQpatmz5SS4Wyed67949XL58WSx3LXktKSkJNWvWFKshBgcHQ1lZWZwpkjVJ+x89eoSEhATcvn1b3Dx1z5490NTUhK+vr3h++dwOVrWdP38eI0eOxHfffQfgj+BJEmz5+Pi8NzePgyz59fjxY3Tr1g1fffUVLCwspKq0FhcX49ixY7CyssJPP/0kHpOQx0Ghv/Py5UvY2NggOjoaQFl+RkZGBvz9/SEIAiIjIyu8r/T0dAQHB6NBgwZ49eqVQr5vxj5XT58+RYMGDSoUsLhw4QLOnz+P169fw9bWVixSFh0dDSUlJZiamuLixYsyaLF8kbtAS7JZoeRG/OLFCzRu3BirV68GULZPh5KSEubMmSMVXQ8ZMgSDBw9WyNHBj6n8A23p0qXo2bMnfH19ceTIEfG4JNiaN28eXr9+LfXz165dw9ixY1GjRo1PsmGupL379u2DqakprK2toaGhgeHDh+Px48coKSlBYWEhzMzMcOnSJcyePRuamppITEz86G37EOVn2MzMzNC0aVM0bdoUXbp0EW84+/btg5aWFkaOHCnLprJP7OzZszA3N4eurq5YwKekpEQq2FJTU0P//v0/69E/RfTo0SP07NkTgiBg7ty5Uq/99ttvqF+/fpWpLvjq1St07NgRkydPxooVK2Bubo47d+6guLgYvr6+0NTUlHq+SEgqDTLGFI+kONO1a9cq9BN37doFFxcXPH/+HEDZs6xNmzbw9/fnVTqQs0Br4sSJaNGihVh9LT4+HrNnz4aXl5dUKffNmzdDSUkJ/fr1g6+vL3x8fKClpSU1ksikg6yFCxdCR0cHkyZNQuPGjeHi4iJWvwPKgi1lZWUEBwcjNzdXPB4bGws/P79PumQwPj4eNWvWRHR0NN6+fYvDhw9DEAQMGDAAjx49AgC0bNkSJiYmUFNTE6en5cW5c+ego6MjtW5ZEAQsXboUQFnnev/+/RAEAePHj5ddQ9lH9b5R+4iICOjr68PNzQ1PnjwBIB1sxcXFwdXVVWH3UfqcPX36FD169ICTkxM2btwoHn/z5g1sbGzEwcKqYOvWrTAxMYGysjIiIiLE4yUlJfj222+ho6MjlrNnjCk2yfMoKysLtWrVQteuXcUceQBYv349dHV1ce/ePQDA1KlTMWrUKKlzPmdyE2jFxsZCR0dHLH/75s0bLFu2DIIgoH79+khJSQHwR+fl+PHj8Pb2RocOHTB48GDejPgvXLt2DX5+fjhx4gSAsnw3b29vtG7dGpGRkeJ5c+bMQevWrSt0ED/lpr9ZWVnw8/PD7NmzAZQty2nYsCH69euHmjVrwt3dHTdu3ECPHj1gaGgoNyXcgT9uRnPnzsXgwYMBlG1Ea2pqCn9/f/G8zMxMAGX7JpUv98yqjvKBUlFRkVTp/sjISNjY2CAgIEC8r5UPtt73bzDFkJSUBDc3N1haWsLLywuLFi1Cr169YGlpWSVWW0ieDWfOnIEgCDAyMsKsWbOklhRJgq3atWvj4MGDMmopY+zfkjx7yg+63759G/n5+bh06RL09fXRt29fcWbr8uXL4tLpzp07o3r16twnL0duAq2ffvoJtra2SElJwYEDBxAYGIi8vDysXLkSgiBg0aJFFfK3JA8uznH5c9u3b4eDgwOaNGmCX3/9VTyenp4Ob29vfPnll1IzW+V/x7JYR//27Vvs3LkTDx8+xKtXr2Bvbw9vb28AwLZt2yAIAjw9PREXFyfTDe/e7UgDf+RehISEIDg4GC9evICRkRH8/PzE3+XBgwcRHR3NG2hXYeW/G0uXLkWPHj3g7OwMf39/cYQvPDwc9vb2CAwMFKsNvi8/lSme5ORk9OrVCyoqKmjXrh0iIyOrXEGTtLQ0HD58GCtXrkTjxo0xdepUqRzZkpIS9OnTBw0aNPikA3WMscqRkpKCXr164dKlS4iNjYUgCOKed1euXEHt2rXRp08fMRg7dOgQpk+fDn9/f/zyyy+ybLrckZtAS1LSuGvXrhAEAbt37xZfi4iIgJKSEtauXSv1Mzzi+/cePHgANzc3aGtrY/ny5VKvZWRkwM/PDxYWFtiyZQsA2QVY5UkKdsTExMDZ2VncAG/btm1o27YtjI2Nxc6pLD158kQsvhIbGytuO7Bo0SIYGhrCyMgIo0ePFs8vKiqCl5cXxo4dW6EoCat6pk2bBn19fSxcuBBxcXEQBAF9+vQRP/vw8HA4OjpixIgRnLtSxTx79gzOzs4ICQkR76eKHGSVfya8O0i0YMGCPw225OE+zRj7586dO4evv/4atra2UFdXF7ewkNzHJMFWr169xPwtgPvl7yM3gRYA+Pv7Q0VFBW3bthWLYkiEh4dDSUlJ3EuJfbinT5+ie/fuaNOmjXixSLx8+RIRERFy2QmYM2cObGxsxKV2U6dORVRUlFzMYObn58PBwQEODg7YsmULBEHAtm3bxNd79uyJ6tWr48GDBygoKMCbN28wbdo0GBgY8HLBz8D//vc/WFtb4+TJkwCA06dPQ0NDA+vXr5c6LyAgAMOGDZP54AarfCkpKWKnQ5E/X0nbT506hcmTJ8PT0xM7duyQug9Lgq2QkBAxj5YxptiioqIgCAKsra3F7UgA6WBLX18fHTp0EFdrKPK97mORi0BL8qF16dIFXl5eaNq0KYYPHy5OU0rMnz8fgiBIJRqzD/P48WO4ubmhffv2FYItCXkLtq5fvw41NTV8+eWX6NChA3R0dGSek3Xnzh3xz0lJSahbty7U1dWxYcMGABBnuO7duwcnJyfo6enBzs4OHTp0gIGBQYXvNKuazp07J+5BJ6kyKZmR//3337Fnzx7xXF4yWLVVhRHevXv3olatWujTpw9GjRoFQRAQGhqKp0+fiudERkaibt26mD17dpXIR2Psc1T+eRQbG4tFixahb9++aN++PQ4fPiyeJ7mvJSQkoGHDhuLKI1aRXARa79q5cyesra0xfPhw3LhxQ+q1JUuW8PrPf+nx48dwd3dHx44dxcBA3l28eBGDBw/G6NGjcfv2bZm25eTJkxAEATExMQDKNujT1NREjRo10LZtW3GEt3yHee3atZg3bx42btwo05wy9vG8ryP9+PFjNG/eHKGhodDR0ZFa9nzx4kW4urpK3ds4yGLy6urVqzA2NhZXkxQUFEBLSwtKSkoYM2aMVAdr+fLlFVajMMYUg+Q5FB8fj7lz54pLAk+dOoUePXqgffv2iI+PF88/ffo08vPzef/avyGzQKv8prSJiYk4c+aM1Ovlg61PsX/T5+Lx48do1aoVxo4dK+umfLCSkhK56YhOmTIFGhoaYk7bs2fPcPfuXZibm+PLL78UbziSPAZ5aTf7OMp/vlFRUbh+/TpKS0vx+vVreHp6QlNTExMnThTPKSgogLu7O/r06VMlZjpY1VZSUoLY2FjMmDEDQNkydBMTE0yaNAnbt2+HkpISQkJCeBCJMQX1bh9l9+7d0NXVxahRo6RWEJ08eRI9evRAu3btsHnzZsyePRsqKip48eLFp26ywpFJoPVnm9J6eXlJjYbt3LkTzZo1g4eHB++RVYmeP3/Onbz/IDAwECoqKmKwBQCJiYkwNzdHmzZtxGBr+fLlmDNnjlwUGGGVr/w1lJ6eDmNjY9jZ2Yllbc+ePQtnZ2e4uLggLCwMy5cvR4cOHWBjYyMG4nwdMnn3/Plz3Lx5E2/fvoWbmxuGDx+Ot2/foqCgAI0aNYIgCAgMDJS7peeMsb/2br/kypUrqFmzJr777jup45Ln1dWrVzFw4ECYmZmhcePGSExM/GRtVWTVSAYEQaCjR4+Sl5cXLViwgIYNG0YnT56kbt26UX5+PoWGhlLjxo2pf//+9PbtW1q5ciXVqVNHFk2tkgwMDIiIqLS0lJSUlGTcGsWzYMECIiIaNmwYERENGjSIHB0daefOnTRw4ECysrKi1q1b086dO+n69eskCIIMW8s+Fsm1M3XqVPrll1+ofv36dPPmTerVqxft27ePXF1dad68eRQXF0fR0dHUtGlTMjU1pSNHjlC1atWouLiYqlWTyS2YsQ9mYGBABgYGlJGRQS9fviQvLy9SVVWlnJwc6tatGzk6OpKjoyMpKyvLuqmMsQ+0dOlSysrKotDQUAJAgiDQnTt3qFWrVjR8+HB6/fo1nThxgmJiYiglJYV8fHzI39+foqKiKDc3l9TV1alevXqyfhsKQQCAT/2fZmdnU0BAABkZGdHMmTMpKSmJOnXqRPb29nT8+HFq27YtRUREkLW1NRER5eTkkLa29qduJmN/KSgoiJYuXUqbNm2iQYMGERHR8+fPKTQ0lIiIxo0bRzY2NjJsIfvY1qxZQ1OnTqVjx45RvXr16NWrVzR27FhKTU2luLg4atasGRER5ebmkpaWlvhzHGQxRfPo0SOytbWlmTNnUq9evSgmJoZ2795NV69eJU1NTVk3jzH2gd6+fUsRERE0aNAgsrS0FI/HxMTQt99+S+vXr6eYmBjS0tISg6nY2Fi6fPkyNWzYUFbNVlgyCbQKCwspNjaWHBwcqFatWtSxY0dycHCgDRs20Pbt22nQoEH09ddf07Jly8jCwkKMthn71CTfvV9//ZVycnIoPz+fXF1dxdcDAwNp2bJlUsEWUdl3XFVVVRZNZh9JTEwM9e7dWypgmjx5MqWkpNCOHTvEY+np6eTu7k65ubm0c+dOsrGxkbqH8f2MybO/+n6uXLmSxo0bR+bm5pSTk0OHDx8mBweHT9xCxth/JVnRdPHiRYqNjaXw8HCqVq0aTZ48meLi4qh9+/Y0fPhwcnJyory8PGrVqhV999131LJlS1k3XeHIZEhVVVWVunfvTurq6vTjjz+Surq6OAtARNS2bVu6c+cOqampERFxp4TJhKTDsX//fpo4cSJpaGhQcnIyDRgwgKZPn07m5ua0cOFCIiLy9fWlt2/fkpeXFxERB1lVzK5du2jRokXk6ekpdTwrK4tu374t/r24uJjq1q1L/v7+5O3tTZ6ennTgwAEyNjamkpISUlZW5vsZkxulpaVEVLYM9u3bt6SmpvaX388xY8aQs7Mz5eXlkZmZGdWvX/9TNZUxVkkkQVZ+fj4dPHiQDhw4QCoqKjR79mxavHgxBQUFUd26dcXz586dS8XFxWRiYiLDVisumSXoqKurExFRUlIS5eTkiEsPbt26RX379qUHDx5QgwYNZNU8xqRyCadNm0Y3b96kvXv30qZNmyg4OJgePHhAREQLFy6kYcOG0dSpUyk7O1vGrWYfQ//+/enGjRviCGBmZiYREfn5+VFBQYE4UCRZDqivr0+jRo0iLS0t6t+/PxER57AwuXH9+nXKzMwkJSUlUlJSokOHDpGPjw+5u7tTfHw8vXr16k9/tkWLFuTq6spBFmMKSklJiX744QeaPHkyjRkzhnr37k3Hjh2jkJAQKikpEYOsgwcP0ogRI2j9+vW0ZcsWqeCLfTiZV0Jwd3enBw8eUPfu3aljx460evVqatOmDamoqMi6aewzl52dTXv27KGJEyeSn58fpaam0pgxY6hv374UHx9PAQEB9OuvvxIR0apVq+jnn38mHR0dGbeaVbbyq6sTExPJxcWF1qxZQ2/evKEmTZrQwIED6ciRIxQYGEhv3ryh5ORkWr16NWlqatLcuXPp0aNHdPHiRRm+A8b+cOTIEerQoQNt27aNSkpKKCEhgXr37k3q6ur0+vVr8vHxoZUrV1Jqaqqsm8oYq0SSZ1lmZiZFRESQmZkZGRgYUFBQEHXo0IFOnz5N06dPp+LiYiooKKDHjx9TamoqnTlzhuzt7WXcesUlkxytdyUkJNDq1aupRo0a5O/vT02bNpV1kxj74FzCFStWcIJoFfW+fJUlS5ZQUFAQhYaGUnBwML169YrWrVtHGzZsoPT0dKpTpw7p6OjQ//73P7p16xb16tWL4uLiuDAKkxt+fn50+vRpCgwMpKSkJNLX16exY8cSUdkyoW3btlH//v3Jz8+PjIyMZNxaxlhlOXHiBB0+fJiys7Np6dKlpKGhQUpKSpSTk0MRERF08uRJ6ty5M82aNYuUlZUpOzubB5D/I7koe+Xs7ExOTk4kCALnLzC58aG5hDz7WjWV3/6goKBAXO48adIkEgSBJk+eTERl5d2DgoJo7NixdPjwYapbt65YMOXHH38kPT09LoPL5IKkSM+6deto1KhRFBkZSSoqKhQYGCieM2PGDCIi2rp1KykpKdHw4cPJ2NhYVk1mjFWSwsJCOn36NC1fvpwaN24spuwUFhaStrY2TZs2jZSVlWn79u1UrVo1mjlzJgdZlUAuAi0i4v2cmFz6u1zCESNGcKBVBQEQ70nLli2j06dPU926dalv377UpUsXmjhxIhGVVR1UUlIif39/qlmzJnl4eBBRWQ7Mpk2b6IcffqAzZ86Qnp6ezN4L+7yVHzCQFOnJyMig1atXU1BQEEVGRtK1a9eoZ8+eVKNGDSIqC7aUlZVp+fLlpKqqSoGBgZxjyJiCU1VVpeHDh5OqqirNmjWLoqKiaOzYsaSqqkpFRUWkra1NAQEBpKqqSoMHD5Z1c6sMuQm0GJNn7u7uFB4eLs5wJSYm0rlz5zjIqoLKLxeMjIyksLAw8vHxoYMHD9Ldu3fp9u3bNHnyZDHYCggIoNzcXAoODhYD8ZSUFHr79i2dP3+elwwymVJSUqJHjx7R/Pnzaf369bRv3z6aPXs2HT58mBYsWED5+fkUGxtLVlZWNGjQIDHYCg4OJlVVVerduzcHWYwpIMkgS0ZGBhUXF5OBgQGZmZmRr68v5eXlUVBQEKmqqooDxkVFRaSjo0PTp0/n1WWVSC5ytBhTBJxL+Hm5fv06RUdH0zfffENfffUV/f777zRlyhS6e/cu9e7dm6ZMmUJEZTktR44cofPnz0s9nPLy8qh69eqyaj5jRFQ2cLB3717y9vYme3t7OnPmDMXExEhtVeDv709Hjx6lKVOmSAVbjDHFsmnTJmrfvr1Yin3fvn00depUEgSBDA0N6fvvvydTU1NKT0+n5cuXU1RUFC1evJh8fX1l3PKqiwMtxv6B0tJSziX8DOzYsYMWLlxIBQUFtG/fPrK0tCSisiVX06ZNo3v37lHv3r3FPC3JLJjkdsrfDyZvJk+eTEuXLiVnZ2e6cOECEUnnHvr7+9OpU6fIz8+PfHx8ODeDMQWTk5NDFhYWZGRkRHFxcfTbb79Rp06daNy4cWRoaEirV6+mzMxM2rFjBzk6OlJ6ejqtXLmSwsLC6Pvvv6dhw4bJ+i1USZwYxdg/oKSkxJ3oz0CLFi3IwMCAnj17RkeOHBGP6+np0fz586lp06YUHR1NW7duFV+TBFv8/WDyQrIhMRGRsbEx+fv7U2pqKg0cOJCIynJQ8/PziYhozZo15OzsTD/88IPUzzHGFIO2tjYlJiZSUVEReXh4UHJyMo0YMYJCQkLIy8uLLl68SEZGRuTh4UHXrl2junXr0qhRo2jOnDnUqlUrWTe/yuIZLcYYe49nz57R6NGjKSsri0aOHCl2TomI0tLSaOPGjRQQEMD5K0yuHT9+nJSUlOirr76i4uJi2rVrFwUGBpKLiwtt27ZNPO/hw4fUqFEjSk9P541JGVNgKSkp1LFjR7p//z4NGjSIfvzxR/G1oqIi6tChA6WlpdHmzZupVatWVFJSws+xj4gDLcYY+xNJSUk0duxYysvLI19fX6lgS4IfUkxelZaWkre3N23evJmOHj1KHTt2pDdv3lBcXBwFBgaSs7Mzbdq0iSIiIujw4cN07NgxqlmzpqybzRj7hyQrKt68eUOampqUkpJC/fv3p1evXtHhw4epYcOG4jnFxcXk4OBAysrKdOnSJVJTU5N186s0DrQYY+wvJCUl0bhx46igoIAGDBhA3t7esm4SYx8sLy+PJk2aRDExMbRv3z7q3Lkz5eXlUXx8PI0ePZpUVVWpoKCA4uLiqGXLlrJuLmPsH5IEUMePH6fDhw+Tp6cnOTg4UEpKCnXu3Jm0tbVp9+7dZGxsLBVspaamikUz2MfDOVqMMfYXzMzMaMWKFZSbm0u3bt2SdXMY+1t5eXlEVNYBq169Oi1dupQGDRpEvXv3pqNHj1L16tWpR48edPXqVVq8eDFduXKFgyzGFJQgCLR3717q0aMH1apVS8yxrF+/Ph09epRycnKoX79+lJKSIhZtqlatGgdZnwjPaDHG2Ad48eIF1atXjzdXZ3Lt+vXr1LlzZzp79iw1adJEHMHOy8sjf39/2rdvHx04cIDatGkj66YyxirB/fv3qWvXrhQQEED+/v7icck+WikpKfT1119TYWEhnTx5koyMjGTY2s8P9xgYY+wDGBgYkJKSEldkY3JNT0+PbGxsqFOnTnTv3j0SBIFKS0upevXqNG7cOMrLy6N27drR6dOnZd1UxlglePr0KamoqFC3bt3EYwDEQcH69evTgQMHqEaNGlRUVCSrZn62qsm6AYwxpkh4RovJM2NjY9q+fTsNGzaM2rRpQ2fPniUrKysiIqpRowZ5enpSzZo1SV9fX8YtZYxVhtzcXHGbBqI/ZrKIiE6fPk3a2trUokULSkhI4MJNMsA9BsYYY0wBSVb+37x5k/bu3Us7duyg5ORk0tfXp61bt5KDgwO1adOGzpw5Q8nJybR161ZKS0ujBQsWiMEXY0yx2dra0m+//Ubr1q0jIunBwNjYWPrpp5+oqKiIgywZ4RktxhhjTAEJgkB79uwhHx8fsrCwoFu3bpGtrS316NGDpk+fTjt37qQRI0ZQ+/btycLCgn777Tc6ceIEqaury7rpjLFKYmZmRitXrqSRI0dSUVERDR06lJSVlWnTpk20adMmSkhIIBUVFVk387PFxTAYY4wxBfTzzz9Thw4dKCwsjAYPHkyZmZkUFRVFJ06coD59+lBwcDAREcXHx5OSkhJZWlpypTHGqqDS0lLas2cPjRgxgjQ1NUldXZ2UlZVp27ZtZG9vL+vmfdY40GKMMcYU0O7du2nGjBmUkJAgbjT88uVLWrhwIV2+fJl2795NBgYGsm0kY+yTef78OT158oQEQSAzMzOqV6+erJv02eOlg4wxxpgC0tLSooKCAkpNTaWaNWtSaWkp6evr06hRo2jZsmV069YtDrQY+4wYGhqSoaGhrJvByuFiGIwxxpickyw+uXXrFqWmphIRUaNGjSg3N5c2bdpEBQUFYhJ8jRo1yM7OjnOxGGNMxjjQYowxxuSYZNPh/fv3U7du3WjNmjWUlZVFjRo1orVr19LixYtp2rRpdOXKFXrx4gUtWbKEXr58SY0aNZJ10xlj7LPGOVqMMcaYnDt48CD179+fVqxYQW5ublJLAmNjY2n06NEEQFxOuG/fPnJwcJBhixljjHGgxRhjjMmxgoICGjp0KFlYWFB4eDjl5eXRy5cvadu2bWRtbU3du3enV69eUVJSEuXm5lLTpk05T4MxxuQAF8NgjDHG5BgASkpKIn19fcrMzKRZs2bRzz//TI8ePaK3b9/S7du3aebMmaSvry/rpjLGGCuHc7QYY4wxOaahoUFjx46lDRs2kJmZGaWmptLw4cPp2bNn5OnpSadOnaLS0lJZN5Mxxtg7eEaLMcYYk3NDhw4lR0dHSk1NpU6dOomBVVFRETVo0ICKiopITU1Nxq1kjDFWHudoMcYYYwrm3r17FBMTQ6tWraLz58+TjY2NrJvEGGPsHTyjxRhjjCmQa9eu0eLFi+nmzZt05swZDrIYY0xO8YwWY4wxpkDy8/Pp6tWrZGpqSsbGxrJuDmOMsT/BgRZjjDHGGGOMVTKuOsgYY4wxxhhjlYwDLcYYY4wxxhirZBxoMcYYY4wxxlgl40CLMcYYY4wxxioZB1qMMcYYY4wxVsk40GKMMcYYY4yxSsaBFmOMMcYYY4xVMg60GGOMMcYYY6yScaDFGGOMMcYYY5WMAy3GGGOMMcYYq2QcaDHGGGOMMcZYJfs/xS+fetE2SgUAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df = df[df['artist_top_genre'] != 'Missing']\n",
+    "top = df['artist_top_genre'].value_counts()\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.barplot(x=top.index,y=top.values)\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.title('Top genres',color = 'blue')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Top genres')"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "df = df[(df['artist_top_genre'] == 'afro dancehall') | (df['artist_top_genre'] == 'afropop') | (df['artist_top_genre'] == 'nigerian pop')]\n",
+    "df = df[(df['popularity'] > 0)]\n",
+    "top = df['artist_top_genre'].value_counts()\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.barplot(x=top.index,y=top.values)\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.title('Top genres',color = 'blue')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/zg/_j4m2bz51b30snxvw5lsgrnr0000gn/T/ipykernel_5048/3182244363.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",
+      "  corrmat = df.corr()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot: >"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x900 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "corrmat = df.corr()\n",
+    "f, ax = plt.subplots(figsize=(12, 9))\n",
+    "sns.heatmap(corrmat, vmax=.8, square=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.set_theme(style=\"ticks\")\n",
+    "\n",
+    "g = sns.jointplot(\n",
+    "    data=df,\n",
+    "    x=\"popularity\", y=\"danceability\", hue=\"artist_top_genre\",\n",
+    "    kind=\"kde\",\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<seaborn.axisgrid.FacetGrid at 0x16a086650>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 451.25x300 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.FacetGrid(df, hue=\"artist_top_genre\") \\\n",
+    "   .map(plt.scatter, \"popularity\", \"danceability\") \\\n",
+    "   .add_legend()"
+   ]
+  }
+ ],
  "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.8 ('.venv': venv)",
+   "language": "python",
+   "name": "python3"
+  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -10,30 +697,15 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.3"
+   "version": "3.10.8"
   },
   "orig_nbformat": 2,
-  "kernelspec": {
-   "name": "python383jvsc74a57bd0e134e05457d34029b6460cd73bbf1ed73f339b5b6d98c95be70b69eba114fe95",
-   "display_name": "Python 3.8.3 64-bit (conda)"
+  "vscode": {
+   "interpreter": {
+    "hash": "b59fb33dab871bf69887c451a50f1630bf8b80f7a0c0187fd7f9758fa12a0c70"
+   }
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2,
- "cells": [
-  {
-   "source": [
-    "# Nigerian Music scraped from Spotify - an analysis"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ]
-}
\ No newline at end of file
+ "nbformat_minor": 2
+}
diff --git a/5-Clustering/2-K-Means/README.md b/5-Clustering/2-K-Means/README.md
index 628ecbb1..a63311bf 100644
--- a/5-Clustering/2-K-Means/README.md
+++ b/5-Clustering/2-K-Means/README.md
@@ -173,7 +173,7 @@ Previously, you surmised that, because you have targeted 3 song genres, you shou
 
     ```python
     plt.figure(figsize=(10,5))
-    sns.lineplot(range(1, 11), wcss,marker='o',color='red')
+    sns.lineplot((range(1, 11), wcss) ,marker='o',color='red')
     plt.title('Elbow')
     plt.xlabel('Number of clusters')
     plt.ylabel('WCSS')
diff --git a/5-Clustering/2-K-Means/notebook.ipynb b/5-Clustering/2-K-Means/notebook.ipynb
index b25d4f18..0f38d8a3 100644
--- a/5-Clustering/2-K-Means/notebook.ipynb
+++ b/5-Clustering/2-K-Means/notebook.ipynb
@@ -1,61 +1,35 @@
 {
- "metadata": {
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.0"
-  },
-  "orig_nbformat": 2,
-  "kernelspec": {
-   "name": "python37364bit8d3b438fb5fc4430a93ac2cb74d693a7",
-   "display_name": "Python 3.7.0 64-bit ('3.7')"
-  },
-  "metadata": {
-   "interpreter": {
-    "hash": "70b38d7a306a849643e446cd70466270a13445e5987dfa1344ef2b127438fa4d"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2,
  "cells": [
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "# Nigerian Music scraped from Spotify - an analysis"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
-      "Requirement already satisfied: seaborn in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (0.11.1)\n",
-      "Requirement already satisfied: numpy>=1.15 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from seaborn) (1.19.2)\n",
-      "Requirement already satisfied: pandas>=0.23 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from seaborn) (1.1.2)\n",
-      "Requirement already satisfied: scipy>=1.0 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from seaborn) (1.4.1)\n",
-      "Requirement already satisfied: matplotlib>=2.2 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from seaborn) (3.1.0)\n",
-      "Requirement already satisfied: python-dateutil>=2.7.3 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from pandas>=0.23->seaborn) (2.8.0)\n",
-      "Requirement already satisfied: pytz>=2017.2 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from pandas>=0.23->seaborn) (2019.1)\n",
-      "Requirement already satisfied: cycler>=0.10 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (0.10.0)\n",
-      "Requirement already satisfied: kiwisolver>=1.0.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (1.1.0)\n",
-      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib>=2.2->seaborn) (2.4.0)\n",
-      "Requirement already satisfied: six>=1.5 in /Users/jenlooper/Library/Python/3.7/lib/python/site-packages (from python-dateutil>=2.7.3->pandas>=0.23->seaborn) (1.12.0)\n",
-      "Requirement already satisfied: setuptools in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib>=2.2->seaborn) (45.1.0)\n",
-      "\u001b[33mWARNING: You are using pip version 20.2.3; however, version 21.1.2 is available.\n",
-      "You should consider upgrading via the '/Library/Frameworks/Python.framework/Versions/3.7/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n",
+      "Requirement already satisfied: seaborn in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (0.12.1)\n",
+      "Requirement already satisfied: matplotlib!=3.6.1,>=3.1 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from seaborn) (3.6.2)\n",
+      "Requirement already satisfied: numpy>=1.17 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from seaborn) (1.23.5)\n",
+      "Requirement already satisfied: pandas>=0.25 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from seaborn) (1.5.2)\n",
+      "Requirement already satisfied: pyparsing>=2.2.1 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (3.0.9)\n",
+      "Requirement already satisfied: kiwisolver>=1.0.1 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.4.4)\n",
+      "Requirement already satisfied: pillow>=6.2.0 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (9.3.0)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.0.6)\n",
+      "Requirement already satisfied: python-dateutil>=2.7 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (2.8.2)\n",
+      "Requirement already satisfied: cycler>=0.10 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (0.11.0)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (4.38.0)\n",
+      "Requirement already satisfied: packaging>=20.0 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (21.3)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from pandas>=0.25->seaborn) (2022.6)\n",
+      "Requirement already satisfied: six>=1.5 in /Users/jimbennett/GitHub/ML-For-Beginners/.venv/lib/python3.10/site-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.1->seaborn) (1.16.0)\n",
       "Note: you may need to restart the kernel to use updated packages.\n"
      ]
     }
@@ -65,20 +39,156 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Start where we finished in the last lesson, with data imported and filtered."
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>album</th>\n",
+       "      <th>artist</th>\n",
+       "      <th>artist_top_genre</th>\n",
+       "      <th>release_date</th>\n",
+       "      <th>length</th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Sparky</td>\n",
+       "      <td>Mandy &amp; The Jungle</td>\n",
+       "      <td>Cruel Santino</td>\n",
+       "      <td>alternative r&amp;b</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>144000</td>\n",
+       "      <td>48</td>\n",
+       "      <td>0.666</td>\n",
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+       "      <td>0.0829</td>\n",
+       "      <td>133.015</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>shuga rush</td>\n",
+       "      <td>EVERYTHING YOU HEARD IS TRUE</td>\n",
+       "      <td>Odunsi (The Engine)</td>\n",
+       "      <td>afropop</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>89488</td>\n",
+       "      <td>30</td>\n",
+       "      <td>0.710</td>\n",
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+       "      <td>0.3600</td>\n",
+       "      <td>129.993</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>LITT!</td>\n",
+       "      <td>LITT!</td>\n",
+       "      <td>AYLØ</td>\n",
+       "      <td>indie r&amp;b</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>207758</td>\n",
+       "      <td>40</td>\n",
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+       "      <td>0.0424</td>\n",
+       "      <td>130.005</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Confident / Feeling Cool</td>\n",
+       "      <td>Enjoy Your Life</td>\n",
+       "      <td>Lady Donli</td>\n",
+       "      <td>nigerian pop</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>175135</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0.894</td>\n",
+       "      <td>0.7980</td>\n",
+       "      <td>0.611</td>\n",
+       "      <td>0.000187</td>\n",
+       "      <td>0.0964</td>\n",
+       "      <td>-4.961</td>\n",
+       "      <td>0.1130</td>\n",
+       "      <td>111.087</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>wanted you</td>\n",
+       "      <td>rare.</td>\n",
+       "      <td>Odunsi (The Engine)</td>\n",
+       "      <td>afropop</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>152049</td>\n",
+       "      <td>25</td>\n",
+       "      <td>0.702</td>\n",
+       "      <td>0.1160</td>\n",
+       "      <td>0.833</td>\n",
+       "      <td>0.910000</td>\n",
+       "      <td>0.3480</td>\n",
+       "      <td>-6.044</td>\n",
+       "      <td>0.0447</td>\n",
+       "      <td>105.115</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
        "                       name                         album  \\\n",
        "0                    Sparky            Mandy & The Jungle   \n",
@@ -107,11 +217,11 @@
        "2       0.0424  130.005               4  \n",
        "3       0.1130  111.087               4  \n",
        "4       0.0447  105.115               4  "
-      ],
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+      ]
      },
+     "execution_count": 2,
      "metadata": {},
-     "execution_count": 6
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -126,37 +236,36 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "We will focus only on 3 genres. Maybe we can get 3 clusters built!"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "Text(0.5, 1.0, 'Top genres')"
       ]
      },
+     "execution_count": 3,
      "metadata": {},
-     "execution_count": 7
+     "output_type": "execute_result"
     },
     {
-     "output_type": "display_data",
      "data": {
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\n"
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",
+      "text/plain": [
+       "<Figure size 1000x700 with 1 Axes>"
+      ]
      },
-     "metadata": {
-      "needs_background": "light"
-     }
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -171,12 +280,148 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>album</th>\n",
+       "      <th>artist</th>\n",
+       "      <th>artist_top_genre</th>\n",
+       "      <th>release_date</th>\n",
+       "      <th>length</th>\n",
+       "      <th>popularity</th>\n",
+       "      <th>danceability</th>\n",
+       "      <th>acousticness</th>\n",
+       "      <th>energy</th>\n",
+       "      <th>instrumentalness</th>\n",
+       "      <th>liveness</th>\n",
+       "      <th>loudness</th>\n",
+       "      <th>speechiness</th>\n",
+       "      <th>tempo</th>\n",
+       "      <th>time_signature</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>shuga rush</td>\n",
+       "      <td>EVERYTHING YOU HEARD IS TRUE</td>\n",
+       "      <td>Odunsi (The Engine)</td>\n",
+       "      <td>afropop</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>89488</td>\n",
+       "      <td>30</td>\n",
+       "      <td>0.710</td>\n",
+       "      <td>0.0822</td>\n",
+       "      <td>0.683</td>\n",
+       "      <td>0.000169</td>\n",
+       "      <td>0.1010</td>\n",
+       "      <td>-5.640</td>\n",
+       "      <td>0.3600</td>\n",
+       "      <td>129.993</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Confident / Feeling Cool</td>\n",
+       "      <td>Enjoy Your Life</td>\n",
+       "      <td>Lady Donli</td>\n",
+       "      <td>nigerian pop</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>175135</td>\n",
+       "      <td>14</td>\n",
+       "      <td>0.894</td>\n",
+       "      <td>0.7980</td>\n",
+       "      <td>0.611</td>\n",
+       "      <td>0.000187</td>\n",
+       "      <td>0.0964</td>\n",
+       "      <td>-4.961</td>\n",
+       "      <td>0.1130</td>\n",
+       "      <td>111.087</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>wanted you</td>\n",
+       "      <td>rare.</td>\n",
+       "      <td>Odunsi (The Engine)</td>\n",
+       "      <td>afropop</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>152049</td>\n",
+       "      <td>25</td>\n",
+       "      <td>0.702</td>\n",
+       "      <td>0.1160</td>\n",
+       "      <td>0.833</td>\n",
+       "      <td>0.910000</td>\n",
+       "      <td>0.3480</td>\n",
+       "      <td>-6.044</td>\n",
+       "      <td>0.0447</td>\n",
+       "      <td>105.115</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Kasala</td>\n",
+       "      <td>Pioneers</td>\n",
+       "      <td>DRB Lasgidi</td>\n",
+       "      <td>nigerian pop</td>\n",
+       "      <td>2020</td>\n",
+       "      <td>184800</td>\n",
+       "      <td>26</td>\n",
+       "      <td>0.803</td>\n",
+       "      <td>0.1270</td>\n",
+       "      <td>0.525</td>\n",
+       "      <td>0.000007</td>\n",
+       "      <td>0.1290</td>\n",
+       "      <td>-10.034</td>\n",
+       "      <td>0.1970</td>\n",
+       "      <td>100.103</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Pull Up</td>\n",
+       "      <td>Everything Pretty</td>\n",
+       "      <td>prettyboydo</td>\n",
+       "      <td>nigerian pop</td>\n",
+       "      <td>2018</td>\n",
+       "      <td>202648</td>\n",
+       "      <td>29</td>\n",
+       "      <td>0.818</td>\n",
+       "      <td>0.4520</td>\n",
+       "      <td>0.587</td>\n",
+       "      <td>0.004490</td>\n",
+       "      <td>0.5900</td>\n",
+       "      <td>-9.840</td>\n",
+       "      <td>0.1990</td>\n",
+       "      <td>95.842</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
        "                       name                         album  \\\n",
        "1                shuga rush  EVERYTHING YOU HEARD IS TRUE   \n",
@@ -205,16 +450,245 @@
        "4       0.0447  105.115               4  \n",
        "5       0.1970  100.103               4  \n",
        "6       0.1990   95.842               4  "
-      ],
-      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>name</th>\n      <th>album</th>\n      <th>artist</th>\n      <th>artist_top_genre</th>\n      <th>release_date</th>\n      <th>length</th>\n      <th>popularity</th>\n      <th>danceability</th>\n      <th>acousticness</th>\n      <th>energy</th>\n      <th>instrumentalness</th>\n      <th>liveness</th>\n      <th>loudness</th>\n      <th>speechiness</th>\n      <th>tempo</th>\n      <th>time_signature</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>1</th>\n      <td>shuga rush</td>\n      <td>EVERYTHING YOU HEARD IS TRUE</td>\n      <td>Odunsi (The Engine)</td>\n      <td>afropop</td>\n      <td>2020</td>\n      <td>89488</td>\n      <td>30</td>\n      <td>0.710</td>\n      <td>0.0822</td>\n      <td>0.683</td>\n      <td>0.000169</td>\n      <td>0.1010</td>\n      <td>-5.640</td>\n      <td>0.3600</td>\n      <td>129.993</td>\n      <td>3</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Confident / Feeling Cool</td>\n      <td>Enjoy Your Life</td>\n      <td>Lady Donli</td>\n      <td>nigerian pop</td>\n      <td>2019</td>\n      <td>175135</td>\n      <td>14</td>\n      <td>0.894</td>\n      <td>0.7980</td>\n      <td>0.611</td>\n      <td>0.000187</td>\n      <td>0.0964</td>\n      <td>-4.961</td>\n      <td>0.1130</td>\n      <td>111.087</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>wanted you</td>\n      <td>rare.</td>\n      <td>Odunsi (The Engine)</td>\n      <td>afropop</td>\n      <td>2018</td>\n      <td>152049</td>\n      <td>25</td>\n      <td>0.702</td>\n      <td>0.1160</td>\n      <td>0.833</td>\n      <td>0.910000</td>\n      <td>0.3480</td>\n      <td>-6.044</td>\n      <td>0.0447</td>\n      <td>105.115</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Kasala</td>\n      <td>Pioneers</td>\n      <td>DRB Lasgidi</td>\n      <td>nigerian pop</td>\n      <td>2020</td>\n      <td>184800</td>\n      <td>26</td>\n      <td>0.803</td>\n      <td>0.1270</td>\n      <td>0.525</td>\n      <td>0.000007</td>\n      <td>0.1290</td>\n      <td>-10.034</td>\n      <td>0.1970</td>\n      <td>100.103</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Pull Up</td>\n      <td>Everything Pretty</td>\n      <td>prettyboydo</td>\n      <td>nigerian pop</td>\n      <td>2018</td>\n      <td>202648</td>\n      <td>29</td>\n      <td>0.818</td>\n      <td>0.4520</td>\n      <td>0.587</td>\n      <td>0.004490</td>\n      <td>0.5900</td>\n      <td>-9.840</td>\n      <td>0.1990</td>\n      <td>95.842</td>\n      <td>4</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      ]
      },
+     "execution_count": 4,
      "metadata": {},
-     "execution_count": 8
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "df.head()"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot: xlabel='release_date'>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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6qsJ3jz76aGb9so3/+OGHHzJv+ejXr19auHBh1mXURD7G+qSUn/E+1Y0vKVumfIzLAYCltapbOAYAhW7BggVx1VVXRcSSSPsTTjihQpq2bdvGVVddVSHKv6xVVlml0jc+lBoyZEjsv//+ERFx9913V1uuq6++Orp27Vrh+7322ivzZMJJkyZVmH7eeefF4sWLo6ioKMaPHx8rrrhi1mUs/UaH8ePHx8yZM6N9+/Zx3XXXRceOHSud74ADDoj1118/IiKuueaaCtNXW221rMuMiNh8880zTxzIZVtcccUV0blz5wrf77333rH11ltHRMRdd90Vn332WbV5NYbf/va3UVRUFIsXL45rr7220jQ33HBDLFy4MJMeAAAAqN7MmTPjlltuiYiIiy++uNK3N0RErLPOOnHYYYdFROV9GWVddNFFscIKK1T4fuONN46f//znEVF5n8wVV1wRKaWIiLjyyiujQ4cOFdLsuuuuMWrUqCqXX1tnnHFGpW/NWHXVVWOnnXaKiIjJkyfXy7IBAACguRozZkyMHDmywvffffddXHLJJRGx5Jp7vfXWq3T+fv36xZ/+9KeIiLjtttti3rx5OS970qRJ8eyzz0ZExLXXXhu9evWqNN1WW20Vu+66a0RU3q9R1/EqpWMt1l133UrHZpTq0aNHhe/OPvvsiIjYZZddYr/99qt0vvbt28fFF18cERHvv/9+PPXUU1mXkat8jfWJyP94n6rka1wOACxNQAUAdfLiiy/GN998ExERo0ePznqRtOKKK1Z6EZ3NN998E//973/jtddeixkzZsSMGTOie/fuERHx+uuvZwbPV2bIkCGx1lprVTqtqKgo1llnnYiIePfdd8tNW7x4cTz00EMRETFixIhMulzde++9ERExfPjw6N27d5Vpf/nLX0ZExJQpU6rNd9asWfH2229ntsOMGTMy+b/yyitVzjtkyJCsHRMR/ws+KCkpiQkTJlRblsbQv3//2HzzzSMi+4Vu6Ssf11tvvax1DwAAAJT3wAMPxKJFi6Jjx46Zhy5kU9qX8cknn8QHH3xQaZru3bvHtttumzWP0j6KpftkIiIef/zxiFgSvFFZYEOpffbZp8py1kZRUVHstddeWaeXlvvrr7+O2bNn5335AAAA0Fz9+te/rvT7p59+OubMmRMRkQlmyKa0z2HhwoXx4osv5rzs0jEaq6++egwZMiSnZbzwwgtRUlJSZdqajldZfvnlIyJi4sSJ8d///jfn8s+dOzczTqO6bbTmmmtmAkZyGWdSnfoa6xNRt/E+1amvcTkA0KaxCwBA8/bqq69mPg8bNqzKtOuvv3488MADVeZ1wQUXxEMPPVTl2xIWL14c33zzTfTp06fS6WussUaV5SiN+v/222/Lff/ee+9lbopvsskmVeZRmWnTpkVExCOPPFJl9H1Z2dbzmWeeiX/84x/x+OOPx9dff511/i+//LLK/HOpk1Kvvvpq7LHHHlWmbyz7779/PPbYY/HOO+/EpEmTytXPtGnTYsaMGRHh7RQAAABQE6V9Gd9//320aZP77YLPPvssVl555Qrfr7baatGqVfbnOGXrk/nxxx/jnXfeiYio8sEQERFDhw7NuZy56tWrV/Ts2TPr9LJPkPz2228zgwAAAACg0GV74GFpn0PE/wIOclHVWJFsy3jzzTdzHqOxcOHC+PrrryuMN6nLeJV99tknrrvuuvjqq69i8ODBseOOO8aWW24Zm2yySay66qpZ85o+fXosXrw4IiL23HPP2HPPPXNah5pso2zyOdanNL98jPepTj7H5QBAWQIqAKiTsoP9q7vgWXbZZbNOu+qqq+Lggw+u9kkApX744Yes07K90q9U6Y39RYsWlfu+bHBCTS7oS33xxRc1nqey9Rg7dmycdtpptZ6/rJrUSVWBG41tp512il69esWXX34Z48aNKxdQcfXVV0fEktdcVvU0SQAAAKC82vRlRCwJwKhMrn0ypYMFSpV960N1Txesbnpt5FruiIr9SQAAAFDIlllmmUq/z3efQ30uo67jVX71q1/FxRdfHH/4wx/ihx9+iFtuuSVuueWWiIhYYYUVYrvttotDDjkkfvazn9VL+WsjX2N9IvI73qc6+RqXAwBLE1ABQN7kGv29tP/85z+Zi6s+ffrEH/7wh9hss82if//+0aVLl2jbtm1ELBk4v99++0VEREopb+XOl9Ib6ltvvXWce+65tcrjiSeeyARTDBw4MI499tjYeOONY+WVV45OnTplnhZ5yimnxBlnnFFtfrWtk6amuLg49t5777jgggvitttui4suuig6deoUP/74Y9x8880RETFq1ChPiAQAAIAaKO3L6NWrVzz11FM5zzdgwID6KhIAAADQjLRu3brS78s+kOCll17KjPuozoorrpjzskuX8bOf/SxuuOGGnOdbYYUVMp/zNV7lsMMOi9122y1uuummeOyxx+KZZ56JOXPmxMcffxyXX355XHHFFfHHP/4x/vznP1cof0TE5ZdfHhtttFFO5c8WxFJbdRlX0tDjffIxLgcAKiOgAoA6KXuh9vnnn8egQYOypv38888r/f6aa66JkpKSaN26dTz99NOxxhprVJquvt+g0KtXr8znTz/9tMbz9+zZMz755JNYsGBBDB48uFZluPLKKyNiyXZ97rnnsj51MddtkW2bVza9R48eOZaycey///5xwQUXxHfffRe33XZbjBkzJu6+++7MUyx/+9vfNm4BAQAAoJnp2bNnRER8++23seaaa2YdBFHfyj4gYdasWVWmrW46AAAA0PhK+xwilrxtsiaBEjVdxnfffVfrMRr5HK/Sp0+fOOqoo+Koo46KxYsXx8svvxx33XVXXHzxxTF79uw488wzY9iwYbHjjjuWK3/Ekrdn1nYdaiMfY30iGn68Tz7G5QBAZVpVnwQAshsyZEjm8wsvvFBl2mzTX3vttYhY8tSAbBdXERHTpk2rRQlzN2DAgMwN/IkTJ9Z4/nXWWScilpRzwYIFtSpD6bbYdNNNswZTlC4jFzWpk6Z+sfmTn/wkNtxww4iIGDduXEQseYpBRES/fv3iV7/6VaOVDQAAAJqj0r6M+fPn13u/S1Xat28fq6yySkREvPjii1Wmra6cLeVtnQAAANCclfY5REQ888wz9bqMd999Nz777LNa5VFf41VatWoV6667bpxxxhnxxBNPZL6/9dZbM5/XXnvtTD9GfW2jbPIx1icif9sv1/6cfIzLAYDKCKgAoE7WW2+9TOT69ddfn/XVfB9//HE8+uijlU4rKSmJiIh58+ZlXc6nn34a9957bx1LW7VWrVrFtttuGxERTz/9dEyfPr1G8++www4RETFnzpzMgP+aymVbTJ8+PZ5//vmc8nv11VerXI/SgITWrVvHiBEjci9oHrRv3z4ilgzayNX+++8fERGTJk2Kp556KtPxMGbMGAMmAAAAoIa23377zPX0hRde2KhlKX1QwvTp0zM34ytz3XXXVZlPaX9DRM36HAAAAID82XzzzaNjx44REfGPf/wj61iSuigdo5FSir///e+1yqMhxqusu+66mXE1X375Zeb73r17xwYbbBARETfddFODvpUzH2N9IvK3/XIdP5KPcTkAUBkBFQDUSbt27WLfffeNiIiXX345zjvvvAppSkpK4oADDsgaHb7aaqtFRMTbb78dzz77bIXp33//fey1117xww8/5LHklTv22GOjVatWkVKKPfbYIz766KOsaZeeNnr06FhppZUy+VT3lovJkyfH008/Xe670m0xefLkeOeddyrMM2vWrNh7771zWpdSBx54YKUXrzfddFM8+OCDERGx0047xfLLL1+jfOuqdHn//e9/c55n9913jy5dukRKKfbaa69YvHhxFBUVZdogAAAAkLvVV189dtttt4iIGD9+fJx//vlVpn/vvffi5ptvrpeyHHjggZngjgMOOKDSfqA77rgj7rrrrirzKdu/UZM+BwAAACB/unfvHocffnhERDz77LNx9NFHx+LFi7Om//zzz+Nf//pXjZYxcuTIWH/99SMi4rzzziv39ofKvPrqq3HfffeV+y4f41VuueWWKqdPmzYtvvnmm4iIGDBgQLlpJ598ckREzJ07N3bdddeYPXt21nzmz58fl1xySfz4449Z0+QqH2N9IvI33qe0P+fdd9+tMvgmH+NyAKAyAioAqLNTTjklVlxxxYiIOP7442OvvfaKhx9+OF566aUYP358bLTRRvHQQw/F0KFDK52/NEBg8eLFse2228ZZZ50VEydOjKlTp8all14aa6+9dkyYMCF+8Ytf1Pu6rL322nHaaadFRMRbb70VQ4YMiZNPPjmeeOKJePnll2PChAlx4YUXxi9/+csKgQ3t2rWLW2+9Ndq1axffffddbLbZZvGb3/wmbr/99njxxRfjhRdeiHvvvTdOPfXUWGuttWKTTTaJV199tVwe++yzT0Qsid4fPnx4XHTRRfHss8/Gs88+G3/961/jZz/7Wbz++uux4YYb5rQ+Q4cOjWnTpsXQoUPjmmuuiRdffDGefPLJOPTQQzPl79KlS/z1r3+t66arsY022igiIu699964/PLLY8aMGfHOO+/EO++8E1988UWl83Tq1Cn22GOPiIjMKzs322yz6NevX8MUGgAAAFqYSy+9NAYOHBgREcccc0wMHz48rrrqqnjuuedi+vTp8fjjj8ff/va32GKLLWLVVVeNO+64o17Ksd5668UBBxwQERFTpkyJYcOGxbXXXhsvvvhiPPXUU3HEEUfE7rvvnhkoERGVvq1ynXXWyTzV8E9/+lM89thj8dZbb2X6HBrigR0AAABAxOmnnx4///nPIyLi73//e6y77rpxySWXxDPPPBMvv/xyPPXUU3HxxRfHTjvtFCuvvHJcdtllNV7GTTfdFD169IhFixbF7rvvHjvssEPceOONMXXq1HjxxRfjoYceirPOOis23HDDWGuttSoMrs/HeJXjjz8++vbtG2PGjImrr746Jk+enOlTGTt2bGy55ZYREdG6devYf//9y827zTbbxJFHHhkRERMnTow111wzTjvttMwYlWeeeSauvfba2H///WP55ZePww8/PPNWiLqq61ifiPyN9ykdP/LFF1/E73//+3jxxRczfTnvv/9+Jl0+xuUAQGXaNHYBAGj+unXrFg8//HBsvvnm8dlnn8XNN99c4WmFY8aMieHDh1f6JoFhw4bFaaedFqeeemrMnj07TjrppAppjjnmmBg8eHA888wz9bYepU4++eRo1apVpjxnnnlmnHnmmRXSDR8+vMJ3G2ywQUyYMCH+7//+Lz788MO48cYb48Ybb8y6rK5du5b7f9ddd4199903xo0bF5988kn87ne/Kze9devWccEFF8Q333wTU6ZMqXZdtt1229h2223jtNNOq3Tbd+3aNe69997o379/tXnl27HHHhu33357zJ8/Pw4++OBy00aPHh3XXHNNpfPtv//+ceWVV2b+/+1vf1ufxQQAAIAWrUePHvHMM8/E//3f/8WkSZNi4sSJVT7db+m+jHy66KKL4pNPPon7778/XnvttRgzZky56QMGDIibbropVl111YiITOBEWV26dInf/e53ce6558ZLL70UI0eOLDf9qaeeihEjRtTXKgAAAAD/X7t27eKxxx6LMWPGxJ133hmvvPJK5q0VlalNn8Mqq6wSU6ZMiV122SVmzJgR9913X4W3UFS1jHyNV5k9e3Zce+21ce2111Y6vV27dnHZZZdVGpxwwQUXRI8ePeKMM86Izz77LMaOHZt1OZ06dYrWrVtnnV4TdR3rE5G/7bfHHnvEX/7yl3j33XfjwgsvjAsvvDAzrV+/fjFz5szM/3UdlwMAlfGGCgDy4qc//Wm89tprcdxxx8Vqq60W7dq1i169esWmm24aN910U4wbN67K+U855ZR44IEHYuTIkbHMMstEcXFxrLjiirHzzjvHo48+2uBvUPjjH/8Yr7/+ehx11FExePDg6Nq1a7Rp0yZ69+4dw4cPjz//+c9x/fXXVzrvBhtsEG+//XZcdtllse2220bfvn2juLg42rdvHyuttFKMHDkyzjzzzPjPf/6TeSNFWVdffXVcf/31sckmm0SXLl2iXbt20a9fv9h7773j2WefzTydIFdjx46Nhx9+OLbddttYdtllo7i4OPr37x+HHnpovPbaa5UGhjSEtddeO6ZMmRJ77rlnrLzyytGuXbuc5lt//fVj0KBBEbHkNaE777xzfRYTAAAAWrzlllsuJk6cGPfff3/8+te/joEDB0bHjh2jbdu20bt379hoo43imGOOiaeffjquvvrqeitHcXFx3HvvvTFu3LjYeOONo1u3btGxY8dYc801449//GO8+OKL0bNnz0z6bt26VZrP2WefHVdeeWVssskm0aNHj7wNNAAAAABqpkuXLnHHHXfEpEmTYv/994/VV189unTpEm3atIkePXrEsGHD4rDDDosHH3wwHnvssVotY9CgQfHyyy/HTTfdFLvsskusvPLK0aFDhyguLo7ll18+RowYESeffHK8+OKLccopp1SYv67jVZ566qn4+9//HrvssksMGTIkevfuHW3atImuXbvGOuusE8cee2y8/vrrFR4cUaqoqChOOeWUeOutt+K4446LoUOHZvozunTpEj/5yU/i17/+dVx77bXx6aefRocOHWq1nSpT17E+EfkZ79O5c+fMeJg111wzOnbsWGX6uo7LAYClFaWUUmMXAgAgV3Pnzo3lllsufvjhhzjkkEPin//8Z2MXCQAAAGggkydPjk022SQiIh5//PH41a9+1cglAgAAAAAAmjNvqAAAmpWbb745fvjhh4iI2G+//Rq5NAAAAEBDuvnmmyMiom3btrHeeus1cmkAAAAAAIDmTkAFANBslJSUxPnnnx8REUOHDjVwAgAAAFqQL7/8MmbPnp11+iOPPBKXX355RETssMMO0b1794YpGAAAAAAA0GK1aewCAABU5euvv46vv/46vvrqq/jb3/4Wb731VkRE/PGPf2zkkgEAAAD5NGPGjNhxxx1jt912i8033zxWWWWVaNWqVbz//vtx7733xg033BCLFi2KDh06xFlnndXYxQUAAAAAAFqAopRSauxCAABkM3bs2DjttNPKfbfddtvFfffd10glAgAAAOrDhAkTYtNNN60yTdeuXeO2226LkSNHNlCpAAAAAJqWhQsXxptvvlmreQcMGBCdOnXKc4kAoHnzhgoAoFlo06ZN9OvXL/bcc8848cQTG7s4AAAAQJ4NHTo0rrnmmnj44YfjlVdeiVmzZsXs2bOja9euseqqq8ZWW20Vhx9+ePTu3buxiwoAAADQaD7++OMYMmRIreZ96qmnYsSIEfktEAA0c95QAQAAAAAAAAAAANAMzJw5MwYMGFCreQVUAEBFAioAAAAAAAAAAAAAAICC06qxCwAAAAAAAAAAAAAAANDQBFQAAAAAAAAAAAAAAAAFR0AFAAAAAAAAAAAAAABQcARUAAAAAAAAAAAAAAAABUdABQAAAAAAAAAAAAAAUHAEVAAAAAAAAAAAAAAAAAVHQAUAAAAAAAAAAAAAAFBwBFQAAAAAAAAAAAAAAAAFR0AFAAAAAAAAAAAAAABQcARUAAAAAAAAAAAAAAAABUdABQAAAAAAAAAAAAAAUHAEVAAAAAAAAAAAAAAAAAVHQAUAAAAAAAAAAAAAAFBwBFQAAAAAAAAAAAAAAAAFR0AFAAAAAAAAAAAAAABQcARUAAAAAAAAAAAAAAAABUdABQAAAAAAAAAAAAAAUHAEVAAAAAAAAAAAAAAAAAXn/wFj1guZ0P5jywAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 4000x4000 with 12 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(20,20), dpi=200)\n",
+    "\n",
+    "plt.subplot(4,3,1)\n",
+    "sns.boxplot(x = 'popularity', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,2)\n",
+    "sns.boxplot(x = 'acousticness', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,3)\n",
+    "sns.boxplot(x = 'energy', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,4)\n",
+    "sns.boxplot(x = 'instrumentalness', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,5)\n",
+    "sns.boxplot(x = 'liveness', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,6)\n",
+    "sns.boxplot(x = 'loudness', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,7)\n",
+    "sns.boxplot(x = 'speechiness', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,8)\n",
+    "sns.boxplot(x = 'tempo', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,9)\n",
+    "sns.boxplot(x = 'time_signature', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,10)\n",
+    "sns.boxplot(x = 'danceability', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,11)\n",
+    "sns.boxplot(x = 'length', data = df)\n",
+    "\n",
+    "plt.subplot(4,3,12)\n",
+    "sns.boxplot(x = 'release_date', data = df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import LabelEncoder\n",
+    "le = LabelEncoder()\n",
+    "\n",
+    "X = df.loc[:, ('artist_top_genre','popularity','danceability','acousticness','loudness','energy')]\n",
+    "\n",
+    "y = df['artist_top_genre']\n",
+    "\n",
+    "X['artist_top_genre'] = le.fit_transform(X['artist_top_genre'])\n",
+    "\n",
+    "y = le.transform(y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([2, 1, 2, 2, 2, 2, 2, 2, 2, 1, 2, 2, 1, 2, 0, 2, 1, 1, 0, 1, 0, 0,\n",
+       "       0, 1, 0, 2, 0, 0, 2, 2, 1, 1, 0, 2, 2, 2, 2, 1, 1, 0, 2, 0, 2, 0,\n",
+       "       2, 0, 0, 1, 1, 2, 1, 0, 0, 2, 2, 2, 2, 1, 1, 0, 1, 2, 2, 1, 2, 2,\n",
+       "       1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 2, 1, 2, 2, 0, 2, 1, 1, 1, 2, 2, 2,\n",
+       "       2, 1, 2, 2, 2, 2, 1, 1, 2, 1, 1, 2, 1, 2, 1, 2, 1, 2, 2, 1, 2, 0,\n",
+       "       1, 1, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 0, 1, 1, 1, 1, 0, 1, 2, 1, 2,\n",
+       "       1, 2, 2, 2, 0, 2, 1, 1, 1, 2, 1, 0, 1, 2, 2, 1, 1, 1, 0, 1, 2, 2,\n",
+       "       2, 1, 1, 0, 1, 2, 1, 1, 1, 1, 2, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 2,\n",
+       "       0, 1, 0, 0, 1, 0, 0, 2, 0, 0, 1, 1, 2, 0, 2, 2, 0, 2, 2, 1, 1, 0,\n",
+       "       1, 1, 0, 0, 1, 0, 2, 0, 1, 0, 2, 0, 0, 2, 2, 2, 1, 1, 1, 1, 1, 0,\n",
+       "       2, 2, 2, 2, 2, 1, 1, 1, 1, 1, 2, 2, 1, 1, 0, 1, 1, 1, 0, 2, 2, 2,\n",
+       "       1, 1, 0, 0, 1, 1, 2, 0, 0, 0, 0, 0, 2, 0, 0, 2, 1, 1, 1, 2, 2, 2,\n",
+       "       1, 2, 1, 2, 1, 1, 1, 0, 2, 2, 2, 1, 2, 1, 0, 1, 2, 1, 1, 1, 2, 1],\n",
+       "      dtype=int32)"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.cluster import KMeans\n",
+    "\n",
+    "nclusters = 3 \n",
+    "seed = 0\n",
+    "\n",
+    "km = KMeans(n_clusters=nclusters, random_state=seed)\n",
+    "km.fit(X)\n",
+    "\n",
+    "# Predict the cluster for each data point\n",
+    "\n",
+    "y_cluster_kmeans = km.predict(X)\n",
+    "y_cluster_kmeans"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.5466747351275563"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn import metrics\n",
+    "score = metrics.silhouette_score(X, y_cluster_kmeans)\n",
+    "score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.cluster import KMeans\n",
+    "wcss = []\n",
+    "\n",
+    "for i in range(1, 11):\n",
+    "    kmeans = KMeans(n_clusters = i, init = 'k-means++', random_state = 42)\n",
+    "    kmeans.fit(X)\n",
+    "    wcss.append(kmeans.inertia_)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,5))\n",
+    "sns.lineplot((range(1, 11), wcss) ,marker='o',color='red')\n",
+    "plt.title('Elbow')\n",
+    "plt.xlabel('Number of clusters')\n",
+    "plt.ylabel('WCSS')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
- ]
-}
\ No newline at end of file
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.10.8 ('.venv': venv)",
+   "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": "3.10.8"
+  },
+  "metadata": {
+   "interpreter": {
+    "hash": "70b38d7a306a849643e446cd70466270a13445e5987dfa1344ef2b127438fa4d"
+   }
+  },
+  "orig_nbformat": 2,
+  "vscode": {
+   "interpreter": {
+    "hash": "b59fb33dab871bf69887c451a50f1630bf8b80f7a0c0187fd7f9758fa12a0c70"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}