From 08d9bf66cfde87e8dd023b7e2d29e2033512f4bc Mon Sep 17 00:00:00 2001
From: Manish <manish@radii.dev>
Date: Sat, 10 Jun 2023 09:20:05 +1000
Subject: [PATCH] Solution

---
 solution.ipynb            | 1231 +++++++++++++++++++++++++++++++++++++
 time_series_visualizer.py |   89 ++-
 2 files changed, 1305 insertions(+), 15 deletions(-)
 create mode 100644 solution.ipynb

diff --git a/solution.ipynb b/solution.ipynb
new file mode 100644
index 0000000..a8c5a86
--- /dev/null
+++ b/solution.ipynb
@@ -0,0 +1,1231 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "c15305d2-16ca-4c9e-bde2-41641c0157f8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import calendar\n",
+    "from pandas.plotting import register_matplotlib_converters\n",
+    "register_matplotlib_converters()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "b1b532a9-f422-49f7-b2c0-a295835b3767",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"fcc-forum-pageviews.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "8c8d4e9d-aab9-4973-a82e-53cc570e6f7d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "value    1304\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.count(numeric_only=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b755a491-19e9-4594-b35e-029cdb0cb579",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "df = df[(df['value'] >= df['value'].quantile(0.025)) & (df['value'] <= df['value'].quantile(0.975))]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "c81d9932-007f-4fb5-9f9a-51e83b19b180",
+   "metadata": {
+    "tags": []
+   },
+   "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>date</th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2016-05-19</td>\n",
+       "      <td>19736</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2016-05-26</td>\n",
+       "      <td>18060</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2016-05-27</td>\n",
+       "      <td>19997</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>2016-05-28</td>\n",
+       "      <td>19044</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2016-05-29</td>\n",
+       "      <td>20325</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1294</th>\n",
+       "      <td>2019-11-24</td>\n",
+       "      <td>138875</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1299</th>\n",
+       "      <td>2019-11-29</td>\n",
+       "      <td>171584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1300</th>\n",
+       "      <td>2019-11-30</td>\n",
+       "      <td>141161</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1301</th>\n",
+       "      <td>2019-12-01</td>\n",
+       "      <td>142918</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1303</th>\n",
+       "      <td>2019-12-03</td>\n",
+       "      <td>158549</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1238 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            date   value\n",
+       "10    2016-05-19   19736\n",
+       "17    2016-05-26   18060\n",
+       "18    2016-05-27   19997\n",
+       "19    2016-05-28   19044\n",
+       "20    2016-05-29   20325\n",
+       "...          ...     ...\n",
+       "1294  2019-11-24  138875\n",
+       "1299  2019-11-29  171584\n",
+       "1300  2019-11-30  141161\n",
+       "1301  2019-12-01  142918\n",
+       "1303  2019-12-03  158549\n",
+       "\n",
+       "[1238 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "77f2f92c-2f8e-43aa-8968-103f2a4d7a22",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_48/4082127034.py:2: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
+      "  sns.lineplot(df[\"value\"]).set(xlabel=\"Date\", ylabel=\"Page Views\", xticklabels=df.index, title='Daily freeCodeCamp Forum Page Views 5/2016-12/2019')\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[Text(0.5, 0, 'Date'),\n",
+       " Text(0, 0.5, 'Page Views'),\n",
+       " [Text(-200.0, 0, '10'),\n",
+       "  Text(0.0, 0, '17'),\n",
+       "  Text(200.0, 0, '18'),\n",
+       "  Text(400.0, 0, '19'),\n",
+       "  Text(600.0, 0, '20'),\n",
+       "  Text(800.0, 0, '29'),\n",
+       "  Text(1000.0, 0, '30'),\n",
+       "  Text(1200.0, 0, '31'),\n",
+       "  Text(1400.0, 0, '36')],\n",
+       " Text(0.5, 1.0, 'Daily freeCodeCamp Forum Page Views 5/2016-12/2019')]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2000x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axs = plt.subplots(ncols=1, figsize=(20, 10))\n",
+    "sns.lineplot(df[\"value\"]).set(xlabel=\"Date\", ylabel=\"Page Views\", xticklabels=df.index, title='Daily freeCodeCamp Forum Page Views 5/2016-12/2019')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "444da419-f087-427b-bc6d-87b38a85b8c1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1238"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(axs.lines[0].get_ydata())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "c2846fe2-072a-4328-8982-363f02c214c1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"fcc-forum-pageviews.csv\", parse_dates=True, index_col = 0)\n",
+    "df['year'] = df.index.year\n",
+    "df['month'] = df.index.month\n",
+    "# df['month'] = df['month'].apply(lambda x: calendar.month_abbr[x])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "168fcdf2-5c22-4917-bebb-b0419d169fcf",
+   "metadata": {
+    "tags": []
+   },
+   "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></th>\n",
+       "      <th>value</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>year</th>\n",
+       "      <th>month</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"8\" valign=\"top\">2016</th>\n",
+       "      <th>5</th>\n",
+       "      <td>11242.695652</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>19124.366667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>23314.225806</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>31049.193548</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>41476.866667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>27398.322581</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>40448.633333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>27832.419355</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"12\" valign=\"top\">2017</th>\n",
+       "      <th>1</th>\n",
+       "      <td>32785.161290</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>31113.071429</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>29369.096774</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>30878.733333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>34244.290323</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>43577.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>65806.838710</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>47712.451613</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>47376.800000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>47438.709677</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>57701.566667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>48420.580645</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"12\" valign=\"top\">2018</th>\n",
+       "      <th>1</th>\n",
+       "      <td>58580.096774</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>65679.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>62693.774194</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>62350.833333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>56562.870968</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>70117.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>63591.064516</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>62831.612903</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>65941.733333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>112592.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>78688.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>80047.483871</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"12\" valign=\"top\">2019</th>\n",
+       "      <th>1</th>\n",
+       "      <td>102056.516129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>105968.357143</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>91214.483871</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>89368.433333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>91439.903226</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>162402.600000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>100804.451613</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>117991.032258</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>97268.833333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>150862.709677</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>181026.700000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>173870.333333</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                    value\n",
+       "year month               \n",
+       "2016 5       11242.695652\n",
+       "     6       19124.366667\n",
+       "     7       23314.225806\n",
+       "     8       31049.193548\n",
+       "     9       41476.866667\n",
+       "     10      27398.322581\n",
+       "     11      40448.633333\n",
+       "     12      27832.419355\n",
+       "2017 1       32785.161290\n",
+       "     2       31113.071429\n",
+       "     3       29369.096774\n",
+       "     4       30878.733333\n",
+       "     5       34244.290323\n",
+       "     6       43577.500000\n",
+       "     7       65806.838710\n",
+       "     8       47712.451613\n",
+       "     9       47376.800000\n",
+       "     10      47438.709677\n",
+       "     11      57701.566667\n",
+       "     12      48420.580645\n",
+       "2018 1       58580.096774\n",
+       "     2       65679.000000\n",
+       "     3       62693.774194\n",
+       "     4       62350.833333\n",
+       "     5       56562.870968\n",
+       "     6       70117.000000\n",
+       "     7       63591.064516\n",
+       "     8       62831.612903\n",
+       "     9       65941.733333\n",
+       "     10     112592.000000\n",
+       "     11      78688.333333\n",
+       "     12      80047.483871\n",
+       "2019 1      102056.516129\n",
+       "     2      105968.357143\n",
+       "     3       91214.483871\n",
+       "     4       89368.433333\n",
+       "     5       91439.903226\n",
+       "     6      162402.600000\n",
+       "     7      100804.451613\n",
+       "     8      117991.032258\n",
+       "     9       97268.833333\n",
+       "     10     150862.709677\n",
+       "     11     181026.700000\n",
+       "     12     173870.333333"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.groupby(['year', 'month']).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "445e28f9-2527-4e01-803c-a950d56f9f80",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "avg_monthly_views = df.groupby([df.index.year, df.index.month]).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "5e81c4ed-62dd-4003-980d-2b6075ccdee7",
+   "metadata": {
+    "tags": []
+   },
+   "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></th>\n",
+       "      <th>value</th>\n",
+       "      <th>year</th>\n",
+       "      <th>month</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>date</th>\n",
+       "      <th>date</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"8\" valign=\"top\">2016</th>\n",
+       "      <th>5</th>\n",
+       "      <td>11242.695652</td>\n",
+       "      <td>2016.0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>19124.366667</td>\n",
+       "      <td>2016.0</td>\n",
+       "      <td>6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>23314.225806</td>\n",
+       "      <td>2016.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>31049.193548</td>\n",
+       "      <td>2016.0</td>\n",
+       "      <td>8.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>41476.866667</td>\n",
+       "      <td>2016.0</td>\n",
+       "      <td>9.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>27398.322581</td>\n",
+       "      <td>2016.0</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>40448.633333</td>\n",
+       "      <td>2016.0</td>\n",
+       "      <td>11.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>27832.419355</td>\n",
+       "      <td>2016.0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"12\" valign=\"top\">2017</th>\n",
+       "      <th>1</th>\n",
+       "      <td>32785.161290</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>31113.071429</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>29369.096774</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>30878.733333</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>34244.290323</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>43577.500000</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>65806.838710</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>47712.451613</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>8.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>47376.800000</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>9.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>47438.709677</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>57701.566667</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>11.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>48420.580645</td>\n",
+       "      <td>2017.0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"12\" valign=\"top\">2018</th>\n",
+       "      <th>1</th>\n",
+       "      <td>58580.096774</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>65679.000000</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>62693.774194</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>62350.833333</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>56562.870968</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>70117.000000</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>63591.064516</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>62831.612903</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>8.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>65941.733333</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>9.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>112592.000000</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>78688.333333</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>11.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>80047.483871</td>\n",
+       "      <td>2018.0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"12\" valign=\"top\">2019</th>\n",
+       "      <th>1</th>\n",
+       "      <td>102056.516129</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>105968.357143</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>91214.483871</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>89368.433333</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>4.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>91439.903226</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>5.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>162402.600000</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>6.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>100804.451613</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>117991.032258</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>8.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>97268.833333</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>9.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>150862.709677</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>181026.700000</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>11.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>173870.333333</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>12.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   value    year  month\n",
+       "date date                              \n",
+       "2016 5      11242.695652  2016.0    5.0\n",
+       "     6      19124.366667  2016.0    6.0\n",
+       "     7      23314.225806  2016.0    7.0\n",
+       "     8      31049.193548  2016.0    8.0\n",
+       "     9      41476.866667  2016.0    9.0\n",
+       "     10     27398.322581  2016.0   10.0\n",
+       "     11     40448.633333  2016.0   11.0\n",
+       "     12     27832.419355  2016.0   12.0\n",
+       "2017 1      32785.161290  2017.0    1.0\n",
+       "     2      31113.071429  2017.0    2.0\n",
+       "     3      29369.096774  2017.0    3.0\n",
+       "     4      30878.733333  2017.0    4.0\n",
+       "     5      34244.290323  2017.0    5.0\n",
+       "     6      43577.500000  2017.0    6.0\n",
+       "     7      65806.838710  2017.0    7.0\n",
+       "     8      47712.451613  2017.0    8.0\n",
+       "     9      47376.800000  2017.0    9.0\n",
+       "     10     47438.709677  2017.0   10.0\n",
+       "     11     57701.566667  2017.0   11.0\n",
+       "     12     48420.580645  2017.0   12.0\n",
+       "2018 1      58580.096774  2018.0    1.0\n",
+       "     2      65679.000000  2018.0    2.0\n",
+       "     3      62693.774194  2018.0    3.0\n",
+       "     4      62350.833333  2018.0    4.0\n",
+       "     5      56562.870968  2018.0    5.0\n",
+       "     6      70117.000000  2018.0    6.0\n",
+       "     7      63591.064516  2018.0    7.0\n",
+       "     8      62831.612903  2018.0    8.0\n",
+       "     9      65941.733333  2018.0    9.0\n",
+       "     10    112592.000000  2018.0   10.0\n",
+       "     11     78688.333333  2018.0   11.0\n",
+       "     12     80047.483871  2018.0   12.0\n",
+       "2019 1     102056.516129  2019.0    1.0\n",
+       "     2     105968.357143  2019.0    2.0\n",
+       "     3      91214.483871  2019.0    3.0\n",
+       "     4      89368.433333  2019.0    4.0\n",
+       "     5      91439.903226  2019.0    5.0\n",
+       "     6     162402.600000  2019.0    6.0\n",
+       "     7     100804.451613  2019.0    7.0\n",
+       "     8     117991.032258  2019.0    8.0\n",
+       "     9      97268.833333  2019.0    9.0\n",
+       "     10    150862.709677  2019.0   10.0\n",
+       "     11    181026.700000  2019.0   11.0\n",
+       "     12    173870.333333  2019.0   12.0"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "avg_monthly_views"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "f3fefd42-d561-4d04-ad11-9b96a1044862",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "avg_monthly_views['month'] = avg_monthly_views['month'].apply(lambda x: calendar.month_name[int(x)])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "4dbdb563-97d9-4972-b3e9-9b6f041884d8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "avg_monthly_views = avg_monthly_views.astype({'year':'int'})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "1bebff97-7deb-4ebb-8d86-7c7ace8bae14",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Text(0.5, 0, 'Years'), Text(0, 0.5, 'Average Page Views')]"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABnMAAANBCAYAAAA7rEueAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAACUVklEQVR4nOzdeVhUdeP+8XsAAQUBF2QxFAxCcyfLMHPFwC0xlyRLca2ezN1ccsElNc01U8tQrNxalMqF4qHc9wWXNFODR01wRRFXBH5/9HO+zoM9MQbMKO/Xdc11zTmfzzmfe4Y/km7OOYacnJwcAQAAAAAAAAAAwCrZWDoAAAAAAAAAAAAA/hplDgAAAAAAAAAAgBWjzAEAAAAAAAAAALBilDkAAAAAAAAAAABWjDIHAAAAAAAAAADAilHmAAAAAAAAAAAAWDHKHAAAAAAAAAAAACtGmQMAAAAAAAAAAGDF7CwdoCjJzs7WmTNnVLJkSRkMBkvHAQAAAAAAAAAAFpSTk6OrV6/K29tbNjZ/ff0NZU4hOnPmjHx8fCwdAwAAAAAAAAAAWJFTp07pscce+8txypxCVLJkSUl//lBcXFwsnAYAAAAAAAAAAFhSenq6fHx8jP3BX6HMKUR3b63m4uJCmQMAAAAAAAAAACTpbx/N8tc3YAMAAAAAAAAAAIDFUeYAAAAAAAAAAABYMcocAAAAAAAAAAAAK8YzcwAAAABYVFZWljIzMy0dA4WkWLFisrW1tXQMAAAA4KFCmQMAAADAYjIyMnT69Gnl5ORYOgoKicFg0GOPPSZnZ2dLRwEAAAAeGpQ5AAAAACwiKytLp0+fVokSJeTu7i6DwWDpSChgOTk5On/+vE6fPq2AgACu0AEAAADyiDIHAAAAgEVkZmYqJydH7u7uKl68uKXjoJC4u7srOTlZmZmZlDkAAABAHtlYOgAAAACAoo0rcooWft4AAACA+ShzAAAAAAAAAAAArBhlDgAAAAAAAAAAgBWjzAEAAACAh0hUVJRq1apl6RgAAAAAChFlDgAAAABYKYPBoNjYWEvHAAAAAGBhlDkAAAAAAAAAAABWjDIHAAAAAP5Go0aN9Pbbb6t///4qVaqUPDw8tGDBAl27dk3dunVTyZIl5e/vr3Xr1hmP2bBhg5555hk5ODjIy8tLw4YN0507d0zO2bdvX73zzjsqXbq0PD09FRUVZRz39fWVJLVt21YGg8G4fdfnn38uX19fubq6qlOnTrp69WpBfgUAAAAALIgyBwAAAADyYPHixSpbtqx27typt99+W2+++aY6dOigevXqae/evXrhhRf02muv6fr16/rjjz/UokULPf3009q/f7/mzZun6OhoTZgwIdc5nZyctGPHDk2ZMkXjxo1TfHy8JGnXrl2SpEWLFiklJcW4LUknTpxQbGysVq9erdWrV2vDhg2aPHly4X0ZAAAAAAoVZQ4AAAAA5EHNmjU1cuRIBQQEaPjw4XJ0dFTZsmXVq1cvBQQEaPTo0bp48aIOHDiguXPnysfHR3PmzFHlypUVHh6usWPHatq0acrOzjaes0aNGhozZowCAgLUpUsX1alTRwkJCZIkd3d3SZKbm5s8PT2N25KUnZ2tmJgYVatWTc8//7xee+0143EAAAAAHj2UOQAAAACQBzVq1DC+t7W1VZkyZVS9enXjPg8PD0nSuXPndOTIEQUHB8tgMBjHn3vuOWVkZOj06dP3PackeXl56dy5c3+bxdfXVyVLljT7OAAAAAAPJ8ocAAAAAMiDYsWKmWwbDAaTfXeLm3uvvHmQc+bl+Ac9DgAAAMDDiTIHAAAAAPJZlSpVtG3bNuXk5Bj3bdmyRSVLltRjjz2W5/MUK1ZMWVlZBRERAAAAwEOEMgcAAAAA8tm//vUvnTp1Sm+//bZ+/fVXffvttxozZowGDhwoG5u8/xrm6+urhIQEpaamKi0trQATAwAAALBmlDkAAAAAkM/Kly+vtWvXaufOnapZs6beeOMN9ejRQyNHjjTrPNOmTVN8fLx8fHxUu3btAkoLAAAAwNoZcu697h8FKj09Xa6urrpy5YpcXFwsHQcAAACwqJs3byopKUl+fn5ydHS0dBwUEn7uAAAAwP/Ja2/AlTkAAAAAAAAAAABWjDIHAAAAAAAAAADAilHmAAAAAAAAAAAAWDHKHAAAAAAAAAAAACtGmQMAAAAAAAAAAGDFKHMAAAAAAAAAAACsGGUOAAAAAAAAAACAFaPMAQAAAAAAAAAAsGKUOQAAAAAAAAAAAFbMztIBAAAAAOBe5+d9Uajrub/5qlnzIyMjdfnyZcXGxhZMIAAAAAD4L1yZAwAAAACPoMzMTEtHAAAAAJBPuDIHAAAAAB5QXFycJkyYoEOHDsnW1lbBwcGaNWuWHn/8cUlScnKy/Pz89M033+jDDz/Ujh07FBAQoPnz5ys4OFiSFBUVpdjYWCUmJhrPO3PmTM2cOVPJycmSpF27dmnEiBHat2+fMjMzVatWLc2YMUNBQUHGYwwGg+bOnat169YpISFBgwcP1pIlS/TGG29o8ODBxnmJiYmqXbu2jh07Jn9//4L/kgAAAPBQSp6ZWijr+Pb3LJR1HnZcmQMAAAAAD+jatWsaOHCgdu/erYSEBNnY2Kht27bKzs42mffuu+9q8ODBSkxM1BNPPKGIiAjduXMnz+tcvXpVXbt21ebNm7V9+3YFBASoRYsWunr1qsm8qKgotW3bVgcPHlSPHj3UvXt3LVq0yGTOokWL1KBBA4ocAAAA4CHClTkAAAAA8IDatWtnsr1w4UK5u7vr8OHDqlatmnH/4MGD1bJlS0nS2LFjVbVqVR0/flyVK1fO0zpNmjQx2f7kk0/k5uamDRs2qFWrVsb9r7zyirp162bcjoyM1OjRo7Vz504988wzyszM1NKlS/XBBx+Y/VkBAAAAWA5X5gAAAADAAzp27JgiIiJUqVIlubi4yNfXV5J08uRJk3k1atQwvvfy8pIknTt3Ls/rnD17Vr169VJAQIBcXV3l4uKijIyMXOvUqVPHZNvb21stW7bUwoULJUnff/+9bt26pQ4dOuR5bQAAAACWR5kDAAAAAA+odevWunTpkhYsWKAdO3Zox44dkqTbt2+bzCtWrJjxvcFgkCTjrdhsbGyUk5NjMj8zM9Nku2vXrkpMTNSsWbO0detWJSYmqkyZMrnWcXJyypWxZ8+eWr58uW7cuKFFixbp5ZdfVokSJR7wEwMAAACwBG6zBgAAAAAP4OLFizp69KgWLFig559/XpK0efNms8/j7u6u1NRU5eTkGIuexMREkzlbtmzR3Llz1aJFC0nSqVOndOHChTydv0WLFnJyctK8efMUFxenjRs3mp0RAAAAgGVR5gAAAADAAyhVqpTKlCmjTz75RF5eXjp58qSGDRtm9nkaNWqk8+fPa8qUKWrfvr3i4uK0bt06ubi4GOcEBATo888/V506dZSenq4hQ4aoePHieTq/ra2tIiMjNXz4cAUEBCg4ONjsjAAAAAAsi9usAQAAAIAZsrOzZWdnJxsbGy1fvlx79uxRtWrVNGDAAE2dOtXs81WpUkVz587VRx99pJo1a2rnzp0aPHiwyZzo6GilpaUpKChIr732mvr27aty5crleY0ePXro9u3b6tatm9n5AAAAAFieIee/b86MApOeni5XV1dduXLF5K/sAAAAgKLo5s2bSkpKkp+fnxwdHS0dJ8/CwsLk7++vOXPmWDpKnm3atElNmzbVqVOn5OHhYdEsD+vPHQAAoKhJnplaKOv49vcslHWsVV57A67MAQAAAIA8SEtL0+rVq7V+/XqFhIRYOk6e3Lp1S6dPn1ZUVJQ6dOhg8SIHAAAAwIOhzAEAAACAPOjevbveeOMNDRo0SG3atLF0nDxZtmyZKlasqMuXL2vKlCmWjgMAAADgAdlZOgAAAAAAPAxWrVpl6Qhmi4yMVGRkpKVjAAAAAPiHuDIHAAAAAAAAAADAilHmAAAAAAAAAAAAWDHKHAAAAAAAAAAAACtGmQMAAAAAAAAAAGDFKHMAAAAAAAAAAACsGGUOAAAAAAAAAACAFaPMAQAAAIBCYjAYFBsba+kYAAAAAB4ydpYOAAAAAAD3Ojm7faGuV6Hv12bNj4yM1OLFi3PtP3bsmPz9/fMrFgAAAAAYUeYAAAAAgJnCwsK0aNEik33u7u4FslZmZqaKFSv20J0bAAAAQP6x6G3WNm7cqNatW8vb2/u+txswGAz3fU2dOtU4x9fXN9f45MmTTc5z4MABPf/883J0dJSPj4+mTJmSK8tXX32lypUry9HRUdWrV9fatWtNxnNycjR69Gh5eXmpePHiCgkJ0bFjx/LvywAAAADw0HBwcJCnp6fJy9bWVt9++62CgoLk6OioSpUqaezYsbpz547JsSkpKWrevLmKFy+uSpUq6euv/+/KoOTkZBkMBq1YsUINGzaUo6OjlixZoqioKNWqVcvkPDNnzpSvr69xe9euXWrWrJnKli0rV1dXNWzYUHv37jU5xmAwaN68eXrxxRfl5OSkCRMmyN/fXx988IHJvMTERBkMBh0/fjx/vjAAAAAA/4hFy5xr166pZs2a+uijj+47npKSYvJauHChDAaD2rVrZzJv3LhxJvPefvtt41h6erpeeOEFVaxYUXv27NHUqVMVFRWlTz75xDhn69atioiIUI8ePbRv3z6Fh4crPDxchw4dMs6ZMmWKZs+erfnz52vHjh1ycnJSaGiobt68mc/fCgAAAICH0aZNm9SlSxf169dPhw8f1scff6yYmBi99957JvNGjRqldu3aaf/+/ercubM6deqkI0eOmMwZNmyY+vXrpyNHjig0NDRP61+9elVdu3bV5s2btX37dgUEBKhFixa6evWqybyoqCi1bdtWBw8eVI8ePdS9e/dcVxktWrRIDRo04LZxAAAAgJWw6G3WmjdvrubNm//luKenp8n2t99+q8aNG6tSpUom+0uWLJlr7l1LlizR7du3tXDhQtnb26tq1apKTEzU9OnT1bt3b0nSrFmzFBYWpiFDhkiSxo8fr/j4eM2ZM0fz589XTk6OZs6cqZEjR6pNmzaSpM8++0weHh6KjY1Vp06dHvg7AAAAAPDwWb16tZydnY3bzZs3V1pamoYNG6auXbtKkipVqqTx48frnXfe0ZgxY4xzO3TooJ49e0r6v989PvzwQ82dO9c4p3///nrppZfMytSkSROT7U8++URubm7asGGDWrVqZdz/yiuvqFu3bsbtyMhIjR49Wjt37tQzzzyjzMxMLV26NNfVOgAAAAAsx6JX5pjj7NmzWrNmjXr06JFrbPLkySpTpoxq166tqVOnmtzGYNu2bWrQoIHs7e2N+0JDQ3X06FGlpaUZ54SEhJicMzQ0VNu2bZMkJSUlKTU11WSOq6ur6tata5xzP7du3VJ6errJCwAAAMDDr3HjxkpMTDS+Zs+erf3792vcuHFydnY2vnr16qWUlBRdv37deGxwcLDJuYKDg3NdmVOnTh2zM509e1a9evVSQECAXF1d5eLiooyMDJ08efJ/ntvb21stW7bUwoULJUnff/+9bt26pQ4dOpidAQAAAEDBsOiVOeZYvHixSpYsmeuv0/r27augoCCVLl1aW7du1fDhw5WSkqLp06dLklJTU+Xn52dyjIeHh3GsVKlSSk1NNe67d05qaqpx3r3H3W/O/UyaNEljx459gE8LAAAAwJo5OTnlugVZRkaGxo4de98rahwdHc0+/71sbGyUk5Njsi8zM9Nku2vXrrp48aJmzZqlihUrysHBQcHBwbp9+/b/PLck9ezZU6+99ppmzJihRYsW6eWXX1aJEiXMygwAAACg4Dw0Zc7ChQvVuXPnXL8EDRw40Pi+Ro0asre31+uvv65JkybJwcGhsGOaGD58uEm+9PR0+fj4WDARAAAAgIISFBSko0eP/u1zZrZv364uXbqYbNeuXft/HuPu7q7U1FTl5OTIYDBIkhITE03mbNmyRXPnzlWLFi0kSadOndKFCxfylL1FixZycnLSvHnzFBcXp40bN+bpOAAAAACF46EoczZt2qSjR49qxYoVfzu3bt26unPnjpKTkxUYGChPT0+dPXvWZM7d7bvP2fmrOfeO393n5eVlMqdWrVp/mcXBwcHihRIAAACAwjF69Gi1atVKFSpUUPv27WVjY6P9+/fr0KFDmjBhgnHeV199pTp16qh+/fpasmSJdu7cqejo6P957kaNGun8+fOaMmWK2rdvr7i4OK1bt04uLi7GOQEBAfr8889Vp04dpaena8iQISpevHiestva2ioyMlLDhw9XQEBArlvBAQAAALCsh+KZOdHR0XrqqadUs2bNv52bmJgoGxsblStXTtKf95/euHGjyS0I4uPjFRgYqFKlShnnJCQkmJwnPj7e+AuMn5+fPD09Teakp6drx44d/JIDAAAAQNKfz91cvXq1fvzxRz399NN69tlnNWPGDFWsWNFk3tixY7V8+XLVqFFDn332mZYtW6Ynn3zyf567SpUqmjt3rj766CPVrFlTO3fu1ODBg03mREdHKy0tTUFBQXrttdfUt29f4+9FedGjRw/dvn1b3bp1y/uHBgAAAFAoDDn/fePlQpSRkaHjx49LkmrXrq3p06ercePGKl26tCpUqCDpz9LEy8tL06ZN0xtvvGFy/LZt27Rjxw41btxYJUuW1LZt2zRgwAA1b95cixcvliRduXJFgYGBeuGFFzR06FAdOnRI3bt314wZM9S7d29J0tatW9WwYUNNnjxZLVu21PLlyzVx4kTt3btX1apVkyS9//77mjx5shYvXiw/Pz+NGjVKBw4c0OHDh/N8/+v09HS5urrqypUrJn9BBwAAABRFN2/eVFJSkvz8/Mx+pgzy36ZNm9S0aVOdOnUq1/NC8xM/dwAAgIdD8sy/fl58fipuSCqUdTz6WeeFGXntDSx6m7Xdu3ercePGxu27z5fp2rWrYmJiJEnLly9XTk6OIiIich3v4OCg5cuXKyoqSrdu3ZKfn58GDBhg8pwaV1dX/fjjj3rrrbf01FNPqWzZsho9erSxyJGkevXqaenSpRo5cqRGjBihgIAAxcbGGoscSXrnnXd07do19e7dW5cvX1b9+vUVFxfHLx8AAAAAHmq3bt3S+fPnFRUVpQ4dOhRokQMAAADgwVj0ypyihitzAAAAgP/DFRrWISYmRj169FCtWrX03XffqXz58gW6Hj93AACAhwNX5hSOvPYGD8UzcwAAAAAABSMyMlJZWVnas2dPgRc5AAAAAB4MZQ4AAAAAAAAAAIAVo8wBAAAAAAAAAACwYpQ5AAAAAAAAAAAAVowyBwAAAAAAAAAAwIpR5gAAAAAAAAAAAFgxyhwAAAAAAAAAAAArRpkDAAAAAA8Zg8Gg2NhYS8cAAAAAUEjsLB0AAAAAAO71Q3SLQl0vtMdas+ZHRkZq8eLFev311zV//nyTsbfeektz585V165dFRMTk48pAQAAABRlXJkDAAAAAGby8fHR8uXLdePGDeO+mzdvaunSpapQocI/OndmZuY/jQcAAADgEUOZAwAAAABmCgoKko+Pj1auXGnct3LlSlWoUEG1a9c27ouLi1P9+vXl5uamMmXKqFWrVjpx4oRxPDk5WQaDQStWrFDDhg3l6OioJUuWSJIWLlyoqlWrysHBQV5eXurTp49JhgsXLqht27YqUaKEAgIC9N133xXwpwYAAABgKZQ5AAAAAPAAunfvrkWLFhm3Fy5cqG7dupnMuXbtmgYOHKjdu3crISFBNjY2atu2rbKzs03mDRs2TP369dORI0cUGhqqefPm6a233lLv3r118OBBfffdd/L39zc5ZuzYserYsaMOHDigFi1aqHPnzrp06VLBfWAAAAAAFsMzcwAAAADgAbz66qsaPny4/vOf/0iStmzZouXLl2v9+vXGOe3atTM5ZuHChXJ3d9fhw4dVrVo14/7+/fvrpZdeMm5PmDBBgwYNUr9+/Yz7nn76aZNzRUZGKiIiQpI0ceJEzZ49Wzt37lRYWFi+fUYAAAAA1oEyBwAAAAAegLu7u1q2bKmYmBjl5OSoZcuWKlu2rMmcY8eOafTo0dqxY4cuXLhgvCLn5MmTJmVOnTp1jO/PnTunM2fOqGnTpv9z/Ro1ahjfOzk5ycXFRefOncuPjwYAAADAylDmAAAAAMAD6t69u/FZNh999FGu8datW6tixYpasGCBvL29lZ2drWrVqun27dsm85ycnIzvixcvnqe1ixUrZrJtMBhy3b4NAAAAwKOBZ+YAAAAAwAMKCwvT7du3lZmZqdDQUJOxixcv6ujRoxo5cqSaNm2qKlWqKC0t7W/PWbJkSfn6+iohIaGgYgMAAAB4yHBlDgAAAAA8IFtbWx05csT4/l6lSpVSmTJl9Mknn8jLy0snT57UsGHD8nTeqKgovfHGGypXrpyaN2+uq1evasuWLXr77bfz/TMAAAAAsH6UOQAAAADwD7i4uNx3v42NjZYvX66+ffuqWrVqCgwM1OzZs9WoUaO/PWfXrl118+ZNzZgxQ4MHD1bZsmXVvn37fE4OAAAA4GFhyMnJybF0iKIiPT1drq6uunLlyl/+wgcAAAAUFTdv3lRSUpL8/Pzk6Oho6TgoJPzcAQAAHg7JM1MLZZ3ihqRCWcejX3ChrGOuvPYGPDMHAAAAAAAAAADAilHmAAAAAAAAAAAAWDHKHAAAAAAAAAAAACtGmQMAAAAAAAAAAGDFKHMAAAAAAAAAAACsGGUOAAAAAAAAAACAFaPMAQAAAAAAAAAAsGKUOQAAAAAAAAAAAFaMMgcAAAAAAAAAAMCKUeYAAAAAgJWIjIxUeHi4cbtRo0bq37+/xfIAAAAAsA52lg4AAAAAAPf6+PPQQl3v9dd+eKDjtm3bpvr16yssLExr1qzJlyyzZs1STk5OvpwLAAAAwKODK3MAAAAA4AFER0fr7bff1saNG3XmzJl/dK6srCxlZ2fL1dVVbm5u+RMQAAAAwCODMgcAAAAAzJSRkaEVK1bozTffVMuWLRUTE2McW79+vQwGg9asWaMaNWrI0dFRzz77rA4dOmScExMTIzc3N3333Xd68skn5eDgoJMnT+a6zRoAAAAASJQ5AAAAAGC2L7/8UpUrV1ZgYKBeffVVLVy4MNft0YYMGaJp06Zp165dcnd3V+vWrZWZmWkcv379ut5//319+umn+uWXX1SuXLnC/hgAAAAAHhKUOQAAAABgpujoaL366quSpLCwMF25ckUbNmwwmTNmzBg1a9ZM1atX1+LFi3X27FmtWrXKOJ6Zmam5c+eqXr16CgwMVIkSJQr1MwAAAAB4eFDmAAAAAIAZjh49qp07dyoiIkKSZGdnp5dfflnR0dEm84KDg43vS5curcDAQB05csS4z97eXjVq1Cic0AAAAAAeanaWDgAAAAAAD5Po6GjduXNH3t7exn05OTlycHDQnDlz8nye4sWLy2AwFEREAAAAAI8YrswBAAAAgDy6c+eOPvvsM02bNk2JiYnG1/79++Xt7a1ly5YZ527fvt34Pi0tTb/99puqVKliidgAAAAAHnJcmQMAAAAAebR69WqlpaWpR48ecnV1NRlr166doqOjNXXqVEnSuHHjVKZMGXl4eOjdd99V2bJlFR4eboHUAAAAAB52XJkDAAAAAHkUHR2tkJCQXEWO9GeZs3v3bh04cECSNHnyZPXr109PPfWUUlNT9f3338ve3r6wIwMAAAB4BBhycnJyLB2iqEhPT5erq6uuXLkiFxcXS8cBAAAALOrmzZtKSkqSn5+fHB0dLR0n36xfv16NGzdWWlqa3NzcLB3H6jyqP3cAAIBHTfLM1EJZp7ghqVDW8egXXCjrmCuvvQFX5gAAAAAAAAAAAFgxyhwAAAAAAAAAAAArZmfpAAAAAADwKGnUqJG4mzUAAACA/MSVOQAAAAAAAAAAAFaMK3MAAAAAAAAAACZarppaKOusaTukUNYBHnZcmQMAAAAAAAAAAGDFKHMAAAAAAAAAAACsGGUOAAAAAAAAAACAFaPMAQAAAAAAAAAAsGKUOQAAAAAAAAAAAFbMztIBAAAAAOBe3VaFFep6i9rGmTU/MjJSixcv1uuvv6758+ebjL311luaO3euunbtqpiYmHxMCQAAAKAo48ocAAAAADCTj4+Pli9frhs3bhj33bx5U0uXLlWFChUsmAwAAADAo4gyBwAAAADMFBQUJB8fH61cudK4b+XKlapQoYJq165t3BcXF6f69evLzc1NZcqUUatWrXTixAnjeJMmTdSnTx+Tc58/f1729vZKSEgo+A8CAAAA4KFAmQMAAAAAD6B79+5atGiRcXvhwoXq1q2byZxr165p4MCB2r17txISEmRjY6O2bdsqOztbktSzZ08tXbpUt27dMh7zxRdfqHz58mrSpEnhfBAAAAAAVo8yBwAAAAAewKuvvqrNmzfrP//5j/7zn/9oy5YtevXVV03mtGvXTi+99JL8/f1Vq1YtLVy4UAcPHtThw4clSS+99JIk6dtvvzUeExMTo8jISBkMhsL7MAAAAACsGmUOAAAAADwAd3d3tWzZUjExMVq0aJFatmypsmXLmsw5duyYIiIiVKlSJbm4uMjX11eSdPLkSUmSo6OjXnvtNS1cuFCStHfvXh06dEiRkZGF+VEAAAAAWDk7SwcAAAAAgIdV9+7djc+8+eijj3KNt27dWhUrVtSCBQvk7e2t7OxsVatWTbdv3zbO6dmzp2rVqqXTp09r0aJFatKkiSpWrFhonwEAAACA9aPMAQAAAIAHFBYWptu3b8tgMCg0NNRk7OLFizp69KgWLFig559/XpK0efPmXOeoXr266tSpowULFmjp0qWaM2dOoWQHAAAA8PCgzAEAAACAB2Rra6sjR44Y39+rVKlSKlOmjD755BN5eXnp5MmTGjZs2H3P07NnT/Xp00dOTk5q27ZtgecGAAAA8HDhmTkAAAAA8A+4uLjIxcUl134bGxstX75ce/bsUbVq1TRgwABNnTr1vueIiIiQnZ2dIiIi5OjoWNCRAQAAADxkuDIHAAAAgFVZ1DbO0hH+p5iYmP85Hhsba3wfEhKiw4cPm4zn5OTkOubChQu6efOmevTokR8RAQAAADxiKHMAAAAAwEIyMzN18eJFjRw5Us8++6yCgoIsHQkAAACAFeI2awAAAABgIVu2bJGXl5d27dql+fPnWzoOAAAAACvFlTkAAAAAYCGNGjW6723XAAAAAOBeXJkDAAAAAAAAAABgxShzAAAAAAAAAAAArBhlDgAAAAAAAAAAgBWjzAEAAAAAAAAAALBilDkAAAAAAAAAAABWjDIHAAAAAAAAAADAilHmAAAAAAAAAAAAWDE7SwcAAAAAgHu1XDW1UNdb03aIWfMjIyN1+fJlxcbGFkwgAAAAAPgvXJkDAAAAAAAAAABgxShzAAAAAOAB+fr6aubMmSb7atWqpaioKOO2wWDQp59+qrZt26pEiRIKCAjQd999Z3LMoUOH1Lx5czk7O8vDw0OvvfaaLly4UAifAAAAAMDDgDIHAAAAAArY2LFj1bFjRx04cEAtWrRQ586ddenSJUnS5cuX1aRJE9WuXVu7d+9WXFyczp49q44dO1o4NQAAAABrQZkDAAAAAAUsMjJSERER8vf318SJE5WRkaGdO3dKkubMmaPatWtr4sSJqly5smrXrq2FCxfq559/1m+//Wbh5AAAAACsgZ2lAwAAAADAo65GjRrG905OTnJxcdG5c+ckSfv379fPP/8sZ2fnXMedOHFCTzzxRKHlBAAAAGCdKHMAAAAA4AHZ2NgoJyfHZF9mZmauecWKFTPZNhgMys7OliRlZGSodevWev/993Md5+XllY9pAQAAADysKHMAAAAA4AG5u7srJSXFuJ2enq6kpCSzzhEUFKRvvvlGvr6+srPjVzQAAAAAufHMHAAAAAB4QE2aNNHnn3+uTZs26eDBg+ratatsbW3NOsdbb72lS5cuKSIiQrt27dKJEyf0ww8/qFu3bsrKyiqg5AAAAAAeJpQ5AAAAAGCG7Oxs4xU0w4cPV8OGDdWqVSu1bNlS4eHhevzxx806n7e3t7Zs2aKsrCy98MILql69uvr37y83NzfZ2PArGwAAAABuswYAAADAyqxpO8TSEf6nc+fOyd/fX5Lk4uKi5cuXm4x37drVZPu/n6kjSZcvXzbZDggI0MqVK/M3KAAAAIBHBn/mBQAAAAB5kJaWptWrV2v9+vUKCQmxdBwAAAAARQhX5gAAAABAHnTv3l27du3SoEGD1KZNG0vHAQAAAFCEUOYAAAAAQB6sWrXK0hEAAAAAFFHcZg0AAAAAAAAAAMCKUeYAAAAAAAAAAABYMcocAAAAAAAAAAAAK0aZAwAAAAAAAAAAYMUocwAAAAAAAAAAAKyYRcucjRs3qnXr1vL29pbBYFBsbKzJeGRkpAwGg8krLCzMZM6lS5fUuXNnubi4yM3NTT169FBGRobJnAMHDuj555+Xo6OjfHx8NGXKlFxZvvrqK1WuXFmOjo6qXr261q5dazKek5Oj0aNHy8vLS8WLF1dISIiOHTuWP18EAAAAAAAAAADAX7Cz5OLXrl1TzZo11b17d7300kv3nRMWFqZFixYZtx0cHEzGO3furJSUFMXHxyszM1PdunVT7969tXTpUklSenq6XnjhBYWEhGj+/Pk6ePCgunfvLjc3N/Xu3VuStHXrVkVERGjSpElq1aqVli5dqvDwcO3du1fVqlWTJE2ZMkWzZ8/W4sWL5efnp1GjRik0NFSHDx+Wo6NjQXw9AAAAAB4BBoNBq1atUnh4uKWjAAAA4BGxbsWFAl+jSoGvAHNYtMxp3ry5mjdv/j/nODg4yNPT875jR44cUVxcnHbt2qU6depIkj788EO1aNFCH3zwgby9vbVkyRLdvn1bCxculL29vapWrarExERNnz7dWObMmjVLYWFhGjJkiCRp/Pjxio+P15w5czR//nzl5ORo5syZGjlypNq0aSNJ+uyzz+Th4aHY2Fh16tQpv74SAAAAoMhr9fWSQl1vdfvOZs2PjIzU5cuXc91ZAAAAAAAKitU/M2f9+vUqV66cAgMD9eabb+rixYvGsW3btsnNzc1Y5EhSSEiIbGxstGPHDuOcBg0ayN7e3jgnNDRUR48eVVpamnFOSEiIybqhoaHatm2bJCkpKUmpqakmc1xdXVW3bl3jnPu5deuW0tPTTV4AAAAAAAAAAADmsOoyJywsTJ999pkSEhL0/vvva8OGDWrevLmysrIkSampqSpXrpzJMXZ2dipdurRSU1ONczw8PEzm3N3+uzn3jt973P3m3M+kSZPk6upqfPn4+Jj1+QEAAABYN19fX82cOdNkX61atRQVFXXf+U2aNFGfPn1M9p0/f1729vZKSEgooJQAAAAAHnZWXeZ06tRJL774oqpXr67w8HCtXr1au3bt0vr16y0dLU+GDx+uK1euGF+nTp2ydCQAAAAAFtSzZ08tXbpUt27dMu774osvVL58eTVp0sSCyQAAAABYM6suc/5bpUqVVLZsWR0/flyS5OnpqXPnzpnMuXPnji5dumR8zo6np6fOnj1rMufu9t/NuXf83uPuN+d+HBwc5OLiYvICAAAAUHS99NJLkqRvv/3WuC8mJkaRkZEyGAyWigUAAADAyj1UZc7p06d18eJFeXl5SZKCg4N1+fJl7dmzxzjnp59+UnZ2turWrWucs3HjRmVmZhrnxMfHKzAwUKVKlTLO+e9bGsTHxys4OFiS5OfnJ09PT5M56enp2rFjh3EOAAAAAPwdR0dHvfbaa1q4cKEkae/evTp06JAiIyMtGwwAAACAVbNomZORkaHExEQlJiZKkpKSkpSYmKiTJ08qIyNDQ4YM0fbt25WcnKyEhAS1adNG/v7+Cg0NlSRVqVJFYWFh6tWrl3bu3KktW7aoT58+6tSpk7y9vSVJr7zyiuzt7dWjRw/98ssvWrFihWbNmqWBAwcac/Tr109xcXGaNm2afv31V0VFRWn37t3Ge1kbDAb1799fEyZM0HfffaeDBw+qS5cu8vb2Vnh4eKF+ZwAAAACsh42NjXJyckz23fuHZPfTs2dPxcfH6/Tp01q0aJGaNGmiihUrFmRMAAAAAA85O0suvnv3bjVu3Ni4fbdg6dq1q+bNm6cDBw5o8eLFunz5sry9vfXCCy9o/PjxcnBwMB6zZMkS9enTR02bNpWNjY3atWun2bNnG8ddXV31448/6q233tJTTz2lsmXLavTo0erdu7dxTr169bR06VKNHDlSI0aMUEBAgGJjY1WtWjXjnHfeeUfXrl1T7969dfnyZdWvX19xcXFydHQsyK8IAAAAgBVzd3dXSkqKcTs9PV1JSUn/85jq1aurTp06WrBggZYuXao5c+YUdEwAAAAADzmLljmNGjXK9Vds9/rhhx/+9hylS5fW0qVL/+ecGjVqaNOmTf9zTocOHdShQ4e/HDcYDBo3bpzGjRv3t5kAAAAAFA1NmjRRTEyMWrduLTc3N40ePVq2trZ/e1zPnj3Vp08fOTk5qW3btoWQFAAAAMDD7KF6Zg4AAAAAWFp2drbs7P78u7jhw4erYcOGatWqlVq2bKnw8HA9/vjjf3uOiIgI2dnZKSIigqv9AQAAAPwti16ZAwAAAAD/bXX7zpaO8D+dO3dO/v7+kiQXFxctX77cZLxr164m2/e7G8GFCxd08+ZN9ejRo+CCAgAAAHhkcGUOAAAAAORBWlqaVq9erfXr1yskJOSBzpGZmanU1FSNHDlSzz77rIKCgvI5JQAAAIBHEVfmAAAAAEAedO/eXbt27dKgQYPUpk2bBzrHli1b1LhxYz3xxBP6+uuv8zkhAAAAgEcVZQ4AAAAA5MGqVav+8TkaNWp039uuAQAAAMD/wm3WAAAAAAAAAAAArBhlDgAAAAAAAAAAgBWjzAEAAAAAAAAAALBilDkAAAAAAAAAAABWjDIHAAAAAAAAAADAilHmAAAAAAAAAAAAWDHKHAAAAAAAAAAAACtmZ+kAAAAAAHCv8K8TCnW92PZNH+i4bdu2qX79+goLC9OaNWvyOdU/16hRI9WqVUszZ860dBQAAAAA/xBX5gAAAADAA4iOjtbbb7+tjRs36syZM5aOAwAAAOARRpkDAAAAAGbKyMjQihUr9Oabb6ply5aKiYkxjsXExMjNzc1kfmxsrAwGg8m+CRMmqFy5cipZsqR69uypYcOGqVatWsbxRo0aqX///ibHhIeHKzIy0rg9d+5cBQQEyNHRUR4eHmrfvr0kKTIyUhs2bNCsWbNkMBhkMBiUnJycD58cAAAAgCVQ5gAAAACAmb788ktVrlxZgYGBevXVV7Vw4ULl5OTk+fglS5bovffe0/vvv689e/aoQoUKmjdvnlkZdu/erb59+2rcuHE6evSo4uLi1KBBA0nSrFmzFBwcrF69eiklJUUpKSny8fEx6/wAAAAArAfPzAEAAAAAM0VHR+vVV1+VJIWFhenKlSvasGGDGjVqlKfjP/zwQ/Xo0UPdunWTJI0ePVo//vijMjIy8pzh5MmTcnJyUqtWrVSyZElVrFhRtWvXliS5urrK3t5eJUqUkKenp3kfDgAAAIDV4cocAAAAADDD0aNHtXPnTkVEREiS7Ozs9PLLLys6OtqsczzzzDMm+/57++80a9ZMFStWVKVKlfTaa69pyZIlun79ulnnAAAAAPBwoMwBAAAAADNER0frzp078vb2lp2dnezs7DRv3jx98803unLlimxsbHLdci0zM9Psdf7uPCVLltTevXu1bNkyeXl5afTo0apZs6YuX778QJ8LAAAAgPWizAEAAACAPLpz544+++wzTZs2TYmJicbX/v375e3trWXLlsnd3V1Xr17VtWvXjMclJiaanCcwMFC7du0y2fff2+7u7kpJSTFuZ2Vl6dChQyZz7OzsFBISoilTpujAgQNKTk7WTz/9JEmyt7dXVlZWfnxsAAAAABbGM3MAAAAAII9Wr16ttLQ09ejRQ66uriZj7dq1U3R0tH744QeVKFFCI0aMUN++fbVjxw7FxMSYzH377bfVq1cv1alTR/Xq1dOKFSt04MABVapUyTinSZMmGjhwoNasWaPHH39c06dPN7nqZvXq1fr999/VoEEDlSpVSmvXrlV2drYCAwMlSb6+vtqxY4eSk5Pl7Oys0qVLy8aGv+cDAAAAHkb8Sx4AAAAA8ig6OlohISG5ihzpzzJn9+7dOn36tL744gutXbtW1atX17JlyxQVFWUyt3Pnzho+fLgGDx6soKAgJSUlKTIyUo6OjsY53bt3V9euXdWlSxc1bNhQlSpVUuPGjY3jbm5uWrlypZo0aaIqVapo/vz5WrZsmapWrSpJGjx4sGxtbfXkk0/K3d1dJ0+eLJgvBQAAAECBM+T8902YUWDS09Pl6uqqK1euyMXFxdJxAAAAAIu6efOmkpKS5OfnZ1JiFFXNmjWTp6enPv/8c0tHKVD83AEAeDi0XDW1UNZZ03ZIoazzqFm34kKBr1El5U6BryFJxQ1JhbKOR7/gQlnHXHntDbjNGgAAAAAUsuvXr2v+/PkKDQ2Vra2tli1bpn//+9+Kj4+3dDQAAAAAVogyBwAAAAAKmcFg0Nq1a/Xee+/p5s2bCgwM1DfffKOQkBBLRwMAAABghShzAAAAAKCQFS9eXP/+978tHQMAAADAQ8LG0gEAAAAAAAAAAADw1yhzAAAAAAAAAAAArBhlDgAAAAAAAAAAgBWjzAEAAAAAAAAAALBilDkAAAAAAAAAAABWjDIHAAAAAAAAAADAilHmAAAAAEARl5ycLIPBoMTEREtHAQAAAHAfdpYOAAAAAAD36rvqVKGuN7utj9nHnD9/XqNHj9aaNWt09uxZlSpVSjVr1tTo0aP13HPP5UuuyMhIXb58WbGxsflyPgAAAAAPL8ocAAAAADBTu3btdPv2bS1evFiVKlXS2bNnlZCQoIsXL1o6mlW5ffu27O3tLR0DAAAAeOhxmzUAAAAAMMPly5e1adMmvf/++2rcuLEqVqyoZ555RsOHD9eLL75onNOzZ0+5u7vLxcVFTZo00f79+43niIqKUq1atfTxxx/Lx8dHJUqUUMeOHXXlyhXj+OLFi/Xtt9/KYDDIYDBo/fr1kqRTp06pY8eOcnNzU+nSpdWmTRslJycbzx0ZGanw8HBNnDhRHh4ecnNz07hx43Tnzh0NGTJEpUuX1mOPPaZFixbl+my//vqr6tWrJ0dHR1WrVk0bNmwwGT906JCaN28uZ2dneXh46LXXXtOFCxeM440aNVKfPn3Uv39/lS1bVqGhofn1tQMAAABFGmUOAAAAAJjB2dlZzs7Oio2N1a1bt+47p0OHDjp37pzWrVunPXv2KCgoSE2bNtWlS5eMc44fP64vv/xS33//veLi4rRv3z7961//kiQNHjxYHTt2VFhYmFJSUpSSkqJ69eopMzNToaGhKlmypDZt2qQtW7bI2dlZYWFhun37tvHcP/30k86cOaONGzdq+vTpGjNmjFq1aqVSpUppx44deuONN/T666/r9OnTJrmHDBmiQYMGad++fQoODlbr1q2NVxtdvnxZTZo0Ue3atbV7927FxcXp7Nmz6tixo8k5Fi9eLHt7e23ZskXz58/Pl+8cAAAAKOoocwAAAADADHZ2doqJidHixYvl5uam5557TiNGjNCBAwckSZs3b9bOnTv11VdfqU6dOgoICNAHH3wgNzc3ff3118bz3Lx5U5999plq1aqlBg0a6MMPP9Ty5cuVmpoqZ2dnFS9eXA4ODvL09JSnp6fs7e21YsUKZWdn69NPP1X16tVVpUoVLVq0SCdPnjReuSNJpUuX1uzZsxUYGKju3bsrMDBQ169f14gRIxQQEKDhw4fL3t5emzdvNvlsffr0Ubt27VSlShXNmzdPrq6uio6OliTNmTNHtWvX1sSJE1W5cmXVrl1bCxcu1M8//6zffvvNeI6AgABNmTJFgYGBCgwMLMCfBAAAAFB08MwcAAAAADBTu3bt1LJlS23atEnbt2/XunXrNGXKFH366ae6du2aMjIyVKZMGZNjbty4oRMnThi3K1SooPLlyxu3g4ODlZ2draNHj8rT0/O+6+7fv1/Hjx9XyZIlTfbfvHnT5NxVq1aVjc3//e2eh4eHqlWrZty2tbVVmTJldO7cOZPzBAcHG9/b2dmpTp06OnLkiHHtn3/+Wc7OzrlynThxQk888YQk6amnnrpvdgAAAAAPjjIHAAAAAB6Ao6OjmjVrpmbNmmnUqFHq2bOnxowZo3/961/y8vIyuVLmLjc3t3+0ZkZGhp566iktWbIk15i7u7vxfbFixUzGDAbDffdlZ2ebtXbr1q31/vvv5xrz8vIyvndycsrzOQEAAADkDWUOAAAAAOSDJ598UrGxsQoKClJqaqrs7Ozk6+v7l/NPnjypM2fOyNvbW5K0fft22djYGG9NZm9vr6ysLJNjgoKCtGLFCpUrV04uLi75/hm2b9+uBg0aSJLu3LmjPXv2qE+fPsa1v/nmG/n6+srOjl8lAQAAgMLEM3MAAAAAwAwXL15UkyZN9MUXX+jAgQNKSkrSV199pSlTpqhNmzYKCQlRcHCwwsPD9eOPPyo5OVlbt27Vu+++q927dxvP4+joqK5du2r//v3atGmT+vbtq44dOxpvsebr66sDBw7o6NGjunDhgjIzM9W5c2eVLVtWbdq00aZNm5SUlKT169erb9++On369D/+bB999JFWrVqlX3/9VW+99ZbS0tLUvXt3SdJbb72lS5cuKSIiQrt27dKJEyf0ww8/qFu3brlKJwAAAAD5iz+nAgAAAAAzODs7q27dupoxY4ZOnDihzMxM+fj4qFevXhoxYoQMBoPWrl2rd999V926ddP58+fl6empBg0ayMPDw3gef39/vfTSS2rRooUuXbqkVq1aae7cucbxXr16af369apTp44yMjL0888/q1GjRtq4caOGDh2ql156SVevXlX58uXVtGnTfLlSZ/LkyZo8ebISExPl7++v7777TmXLlpUkeXt7a8uWLRo6dKheeOEF3bp1SxUrVlRYWJjJ83kAAAAA5D9DTk5OjqVDFBXp6elydXXVlStXCuSWCAAAAMDD5ObNm0pKSpKfn58cHR0tHadQRUVFKTY2VomJiZaOUuiK8s8dAICHSctVUwtlnTVthxTKOo+adSsuFPgaVVLuFPgaklTckFQo63j0Cy6UdcyV196AP58CAAAAAAAAAACwYpQ5AAAAAAAAAAAAVowyBwAAAAAKWVRUVJG8xRoAAACAB0OZAwAAAAAAAAAAYMUocwAAAAAAAAAAAKwYZQ4AAAAAAAAAAIAVo8wBAAAAAAAAAACwYpQ5AAAAAAAAAAAAVowyBwAAAAAAAAAAwIpR5gAAAADAQ2T9+vUyGAy6fPmypaMAAAAAKCR2lg4AAAAAAPdat+JCoa7X/OWyD3TcqVOnNGbMGMXFxenChQvy8vJSeHi4Ro8erTJlyvzt8evXr1fjxo2VlpYmNze3B8oAAAAAoGjgyhwAAAAAMNPvv/+uOnXq6NixY1q2bJmOHz+u+fPnKyEhQcHBwbp06ZKlI5rt9u3blo4AAAAA4C9Q5gAAAACAmd566y3Z29vrxx9/VMOGDVWhQgU1b95c//73v/XHH3/o3XfflSTdunVLQ4cOlY+PjxwcHOTv76/o6GglJyercePGkqRSpUrJYDAoMjLSeEzfvn1Vrlw5OTo6qn79+tq1a1euDFu2bFGNGjXk6OioZ599VocOHTIZ37x5s55//nkVL15cPj4+6tu3r65du2Yc9/X11fjx49WlSxe5uLiod+/eBfRtAQAAAPinKHMAAAAAwAyXLl3SDz/8oH/9618qXry4yZinp6c6d+6sFStWKCcnR126dNGyZcs0e/ZsHTlyRB9//LGcnZ3l4+Ojb775RpJ09OhRpaSkaNasWZKkd955R998840WL16svXv3yt/fX6Ghobmu9hkyZIimTZumXbt2yd3dXa1bt1ZmZqYk6cSJEwoLC1O7du104MABrVixQps3b1afPn1MzvHBBx+oZs2a2rdvn0aNGlVQXxkAAACAf4hn5gAAAACAGY4dO6acnBxVqVLlvuNVqlRRWlqadu3apS+//FLx8fEKCQmRJFWqVMk4r3Tp0pKkcuXKGZ+Zc+3aNc2bN08xMTFq3ry5JGnBggWKj49XdHS0hgwZYjx+zJgxatasmSRp8eLFeuyxx7Rq1Sp17NhRkyZNUufOndW/f39JUkBAgGbPnq2GDRtq3rx5cnR0lCQ1adJEgwYNyr8vBwAAAECBoMwBAAAAgAeQk5PzP8eTk5Nla2urhg0b5vmcJ06cUGZmpp577jnjvmLFiumZZ57RkSNHTOYGBwcb35cuXVqBgYHGOfv379eBAwe0ZMkSk7zZ2dlKSkoyFlF16tTJczYAAAAAlkOZAwAAAABm8Pf3l8Fg0JEjR9S2bdtc40eOHFGpUqVy3YKtMGVkZOj1119X3759c41VqFDB+N7JyakwYwEAAAB4QDwzBwAAAADMUKZMGTVr1kxz587VjRs3TMZSU1O1ZMkSvfzyy6pevbqys7O1YcOG+57H3t5ekpSVlWXc9/jjj8ve3l5btmwx7svMzNSuXbv05JNPmhy/fft24/u0tDT99ttvxitugoKCdPjwYfn7++d63V0XAAAAwMODMgcAAAAAzDRnzhzdunVLoaGh2rhxo06dOqW4uDg1a9ZM5cuX13vvvSdfX1917dpV3bt3V2xsrJKSkrR+/Xp9+eWXkqSKFSvKYDBo9erVOn/+vDIyMuTk5KQ333xTQ4YMUVxcnA4fPqxevXrp+vXr6tGjh0mGcePGKSEhQYcOHVJkZKTKli2r8PBwSdLQoUO1detW9enTR4mJiTp27Ji+/fZb9enTp7C/KgAAAAD5gDIHAAAAAMwUEBCg3bt3q1KlSurYsaMef/xx9e7dW40bN9a2bdtUunRpSdK8efPUvn17/etf/1LlypXVq1cvXbt2TZJUvnx5jR07VsOGDZOHh4exaJk8ebLatWun1157TUFBQTp+/Lh++OEHlSpVyiTD5MmT1a9fPz311FNKTU3V999/b7zqpkaNGtqwYYN+++03Pf/886pdu7ZGjx4tb2/vQvyWAAAAAOQXQ87fPbUT+SY9PV2urq66cuWKXFxcLB0HAAAAsKibN28qKSlJfn5+cnR0tHQcFBJ+7gAAPBxarppaKOusaTukUNZ51KxbcaHA16iScqfA15Ck4oakQlnHo19woaxjrrz2BlyZAwAAAAAAAAAAYMUocwAAAAAAAAAAAKwYZQ4AAAAAAAAAAIAVo8wBAAAAAAAAAACwYpQ5AAAAAAAAAAAAVowyBwAAAAAAAAAAwIpR5gAAAAAAAAAAAFgxyhwAAAAAAAAAAAArRpkDAAAAAAAAAABgxShzAAAAAKAIiYyMVHh4uKVjAAAAADCDnaUDAAAAAMC9kmemFup6vv09zZofGRmpxYsXa9KkSRo2bJhxf2xsrNq2baucnJz8jggAAACgiOPKHAAAAAAwk6Ojo95//32lpaVZOopVyMnJ0Z07dywdAwAAAHhkUeYAAAAAgJlCQkLk6empSZMm/eWcb775RlWrVpWDg4N8fX01bdo049iIESNUt27dXMfUrFlT48aNM25/+umnqlKlihwdHVW5cmXNnTvXOJacnCyDwaAvv/xSzz//vIoXL66nn35av/32m3bt2qU6derI2dlZzZs31/nz53OtNXbsWLm7u8vFxUVvvPGGbt++bRzLzs7WpEmT5Ofnp+LFi6tmzZr6+uuvjePr16+XwWDQunXr9NRTT8nBwUGbN2/O+xcIAAAAwCyUOQAAAABgJltbW02cOFEffvihTp8+nWt8z5496tixozp16qSDBw8qKipKo0aNUkxMjCSpc+fO2rlzp06cOGE85pdfftGBAwf0yiuvSJKWLFmi0aNH67333tORI0c0ceJEjRo1SosXLzZZa8yYMRo5cqT27t0rOzs7vfLKK3rnnXc0a9Ysbdq0ScePH9fo0aNNjklISNCRI0e0fv16LVu2TCtXrtTYsWON45MmTdJnn32m+fPn65dfftGAAQP06quvasOGDSbnGTZsmCZPnqwjR46oRo0a/+g7BQAAAPDXeGYOAAAAADyAtm3bqlatWhozZoyio6NNxqZPn66mTZtq1KhRkqQnnnhChw8f1tSpUxUZGamqVauqZs2aWrp0qXHOkiVLVLduXfn7+0v6s6SZNm2aXnrpJUmSn5+fDh8+rI8//lhdu3Y1rjV48GCFhoZKkvr166eIiAglJCToueeekyT16NHDWCLdZW9vr4ULF6pEiRKqWrWqxo0bpyFDhmj8+PHKzMzUxIkT9e9//1vBwcGSpEqVKmnz5s36+OOP1bBhQ+N5xo0bp2bNmuXXVwoAAADgL3BlDgAAAAA8oPfff1+LFy/WkSNHTPYfOXLEWKbc9dxzz+nYsWPKysqS9OfVOUuXLpX05zNnli1bps6dO0uSrl27phMnTqhHjx5ydnY2viZMmGByNY8kkytiPDw8JEnVq1c32Xfu3DmTY2rWrKkSJUoYt4ODg5WRkaFTp07p+PHjun79upo1a2ay9meffZZr7Tp16uT9ywIAAADwwLgyBwAAAAAeUIMGDRQaGqrhw4crMjLSrGMjIiI0dOhQ7d27Vzdu3NCpU6f08ssvS5IyMjIkSQsWLMj1bB1bW1uT7WLFihnfGwyG++7Lzs7Oc667a69Zs0bly5c3GXNwcDDZdnJyyvN5AQAAADw4yhwAAAAA+AcmT56sWrVqKTAw0LivSpUq2rJli8m8LVu26IknnjCWMY899pgaNmyoJUuW6MaNG2rWrJnKlSsn6c+raby9vfX7778br9bJT/v379eNGzdUvHhxSdL27dvl7OwsHx8flS5dWg4ODjp58qTJLdUAAAAAWA5lDgAAAAD8A9WrV1fnzp01e/Zs475Bgwbp6aef1vjx4/Xyyy9r27ZtmjNnjubOnWtybOfOnTVmzBjdvn1bM2bMMBkbO3as+vbtK1dXV4WFhenWrVvavXu30tLSNHDgwH+U+fbt2+rRo4dGjhyp5ORkjRkzRn369JGNjY1KliypwYMHa8CAAcrOzlb9+vV15coVbdmyRS4uLibP6wEAAABQOChzAAAAAOAfGjdunFasWGHcDgoK0pdffqnRo0dr/Pjx8vLy0rhx43Ldiq19+/bq06ePbG1tFR4ebjLWs2dPlShRQlOnTtWQIUPk5OSk6tWrq3///v84b9OmTRUQEKAGDRro1q1bioiIUFRUlHF8/Pjxcnd316RJk/T777/Lzc1NQUFBGjFixD9eGwAAAID5DDk5OTmWDlFUpKeny9XVVVeuXJGLi4ul4wAAAAAWdfPmTSUlJcnPz0+Ojo6WjoNCws8dAICHQ8tVUwtlnTVthxTKOo+adSsuFPgaVVLuFPgaklTckFQo63j0Cy6UdcyV197AphAzAQAAAAAAAAAAwEyUOQAAAAAAAAAAAFaMMgcAAAAAAAAAAMCKUeYAAAAAAAAAAABYMYuWORs3blTr1q3l7e0tg8Gg2NhY41hmZqaGDh2q6tWry8nJSd7e3urSpYvOnDljcg5fX18ZDAaT1+TJk03mHDhwQM8//7wcHR3l4+OjKVOm5Mry1VdfqXLlynJ0dFT16tW1du1ak/GcnByNHj1aXl5eKl68uEJCQnTs2LH8+zIAAAAAAAAAAADuw6JlzrVr11SzZk199NFHucauX7+uvXv3atSoUdq7d69Wrlypo0eP6sUXX8w1d9y4cUpJSTG+3n77beNYenq6XnjhBVWsWFF79uzR1KlTFRUVpU8++cQ4Z+vWrYqIiFCPHj20b98+hYeHKzw8XIcOHTLOmTJlimbPnq358+drx44dcnJyUmhoqG7evJnP3woAAAAAAAAAAMD/sbPk4s2bN1fz5s3vO+bq6qr4+HiTfXPmzNEzzzyjkydPqkKFCsb9JUuWlKen533Ps2TJEt2+fVsLFy6Uvb29qlatqsTERE2fPl29e/eWJM2aNUthYWEaMmSIJGn8+PGKj4/XnDlzNH/+fOXk5GjmzJkaOXKk2rRpI0n67LPP5OHhodjYWHXq1OkffxcAAAAAAAAAAAD381A9M+fKlSsyGAxyc3Mz2T958mSVKVNGtWvX1tSpU3Xnzh3j2LZt29SgQQPZ29sb94WGhuro0aNKS0szzgkJCTE5Z2hoqLZt2yZJSkpKUmpqqskcV1dX1a1b1zjnfm7duqX09HSTFwAAAAAAAAAAgDksemWOOW7evKmhQ4cqIiJCLi4uxv19+/ZVUFCQSpcura1bt2r48OFKSUnR9OnTJUmpqany8/MzOZeHh4dxrFSpUkpNTTXuu3dOamqqcd69x91vzv1MmjRJY8eOfcBPDAAAAAAAAAAA8JBcmZOZmamOHTsqJydH8+bNMxkbOHCgGjVqpBo1auiNN97QtGnT9OGHH+rWrVsWSvt/hg8fritXrhhfp06dsnQkAAAAAEWcr6+vZs6caekYAAAAAMxg9Vfm3C1y/vOf/+inn34yuSrnfurWras7d+4oOTlZgYGB8vT01NmzZ03m3N2++5ydv5pz7/jdfV5eXiZzatWq9ZdZHBwc5ODgkLcPCgAAAECSdHbWX9/KuCB49As2a35kZKQWL14sSbKzs1Pp0qVVo0YNRUREKDIyUjY2D8XfzAEAAAB4iFj1bxl3i5xjx47p3//+t8qUKfO3xyQmJsrGxkblypWTJAUHB2vjxo3KzMw0zomPj1dgYKBKlSplnJOQkGBynvj4eAUH//lLnZ+fnzw9PU3mpKena8eOHcY5AAAAAIqOsLAwpaSkKDk5WevWrVPjxo3Vr18/tWrVyuQZnkXF7du3LR0BAAAAeKRZtMzJyMhQYmKiEhMTJUlJSUlKTEzUyZMnlZmZqfbt22v37t1asmSJsrKylJqaqtTUVOMvCtu2bdPMmTO1f/9+/f7771qyZIkGDBigV1991VjUvPLKK7K3t1ePHj30yy+/aMWKFZo1a5YGDhxozNGvXz/FxcVp2rRp+vXXXxUVFaXdu3erT58+kiSDwaD+/ftrwoQJ+u6773Tw4EF16dJF3t7eCg8PL9TvDAAAAIDlOTg4yNPTU+XLl1dQUJBGjBihb7/9VuvWrVNMTIwk6fLly+rZs6fc3d3l4uKiJk2aaP/+/Sbn+f777/X000/L0dFRZcuWVdu2bY1jt27d0uDBg1W+fHk5OTmpbt26Wr9+vXE8JiZGbm5uWr16tQIDA1WiRAm1b99e169f1+LFi+Xr66tSpUqpb9++ysrKMln36tWrioiIkJOTk8qXL6+PPvrIZPzvskdFRalWrVr69NNP5efnJ0dHx3z6ZgEAAADcj0XLnN27d6t27dqqXbu2pD+ff1O7dm2NHj1af/zxh7777judPn1atWrVkpeXl/G1detWSX/+ArV8+XI1bNhQVatW1XvvvacBAwbok08+Ma7h6uqqH3/8UUlJSXrqqac0aNAgjR49Wr179zbOqVevnpYuXapPPvlENWvW1Ndff63Y2FhVq1bNOOedd97R22+/rd69e+vpp59WRkaG4uLi+KUFAAAAgCSpSZMmqlmzplauXClJ6tChg86dO6d169Zpz549CgoKUtOmTXXp0iVJ0po1a9S2bVu1aNFC+/btU0JCgp555hnj+fr06aNt27Zp+fLlOnDggDp06KCwsDAdO3bMOOf69euaPXu2li9frri4OK1fv15t27bV2rVrtXbtWn3++ef6+OOP9fXXX5tknTp1qmrWrKl9+/Zp2LBh6tevn+Lj443jf5ddko4fP65vvvlGK1euNP6BHgAAAICCYcjJycmxdIiiIj09Xa6urrpy5crfPvsHAAAAeNTdvHlTSUlJua7seBiemXP58mXFxsbmGuvUqZMOHDigTz75RC1bttS5c+dMnqPp7++vd955R71791a9evVUqVIlffHFF7nOc/LkSVWqVEknT56Ut7e3cX9ISIieeeYZTZw4UTExMerWrZuOHz+uxx9/XJL0xhtv6PPPP9fZs2fl7Ows6c9bwvn6+mr+/PmSJF9fX1WpUkXr1q0zyZ2enq61a9dq8+bNf5s9KipKEydO1B9//CF3d3ezvr+/+rkDAADr0nLV1EJZZ03bIYWyzqNm3YoLBb5GlZTCuX1wcUNSoaxj7r/7C0teewO7QswEAAAAAI+0nJwcGQwG7d+/XxkZGbme+3njxg2dOHFC0p/P++zVq9d9z3Pw4EFlZWXpiSeeMNl/69Ytk3OWKFHCWORIkoeHh3x9fY1Fzt19586dMznPfz/7Mzg4WDNnzpSkPGWXpIoVK5pd5AAAAAB4MJQ5AAAAAJBPjhw5Ij8/P2VkZMjLy8vkGTd3ubm5SZKKFy/+l+fJyMiQra2t9uzZI1tbW5Oxe4uaYsWKmYwZDIb77svOzs7zZ8hLdklycnLK8zkBAAAA/DOUOQAAAACQD3766ScdPHhQAwYM0GOPPabU1FTZ2dnJ19f3vvNr1KihhIQEdevWLddY7dq1lZWVpXPnzun555/P96zbt2/PtV2lShVJUlBQ0N9mBwAAAFC4KHMAAAAAwEy3bt1SamqqsrKydPbsWcXFxWnSpElq1aqVunTpIhsbGwUHBys8PFxTpkzRE088oTNnzmjNmjVq27at6tSpozFjxqhp06Z6/PHH1alTJ925c0dr167V0KFD9cQTT6hz587q0qWLpk2bptq1a+v8+fNKSEhQjRo11LJly3+Uf8uWLZoyZYrCw8MVHx+vr776SmvWrJH053N5/i47AAAAgMJFmQMAAAAAZoqLi5OXl5fs7OxUqlQp1axZU7Nnz1bXrl1lY2MjSVq7dq3effdddevWTefPn5enp6caNGggDw8PSVKjRo301Vdfafz48Zo8ebJcXFzUoEED4xqLFi3ShAkTNGjQIP3xxx8qW7asnn32WbVq1eof5x80aJB2796tsWPHysXFRdOnT1doaKikP2/L9nfZAQAAABQuQ05OTo6lQxQV6enpcnV11ZUrV+Ti4mLpOAAAAIBF3bx5U0lJSfLz85Ojo6Ol46CQ8HMHAODh0HLV1EJZZ03bIYWyzqNm3YoLBb5GlZQ7Bb6GJBU3JBXKOh79ggtlHXPltTewKcRMAAAAAAAAAAAAMBNlDgAAAAAAAAAAgBWjzAEAAAAAAAAAALBilDkAAAAAAAAAAABWjDIHAAAAgEXl5ORYOgIKET9vAAAAwHyUOQAAAAAswtbWVpJ0+/ZtCydBYbr787778wcAAADw9+wsHQAAAABA0WRnZ6cSJUro/PnzKlasmGxs+FuzR112drbOnz+vEiVKyM6OX0cBAACAvOJfzwAAAAAswmAwyMvLS0lJSfrPf/5j6TgoJDY2NqpQoYIMBoOlowAAAAAPDcocAAAAABZjb2+vgIAAbrVWhNjb23MVFgAAAGAmyhwAAAAAFmVjYyNHR0dLxwAAAAAAq8WfQwEAAAAAAAAAAFgxyhwAAAAAAAAAAAArRpkDAAAAAAAAAABgxShzAAAAAAAAAAAArBhlDgAAAAAAAAAAgBWjzAEAAAAAAAAAALBidpYOAAAAAAAAAABAQQr/OqFQ1olt37RQ1kHRw5U5AAAAAAAAAAAAVowyBwAAAAAAAAAAwIpR5gAAAAAAAAAAAFgxyhwAAAAAAAAAAAArRpkDAAAAAAAAAABgxShzAAAAAAAAAAAArBhlDgAAAAAAAAAAgBWjzAEAAAAAAAAAALBilDkAAAAAAAAAAABWjDIHAAAAAAAAAADAilHmAAAAAAAAAAAAWDHKHAAAAAAAAAAAACtGmQMAAAAAAAAAAGDFKHMAAAAAAAAAAACsGGUOAAAAAAAAAACAFaPMAQAAAAAAAAAAsGKUOQAAAAAAAAAAAFaMMgcAAAAAAAAAAMCKUeYAAAAAAAAAAABYMcocAAAAAAAAAAAAK0aZAwAAAAAAAAAAYMXsLB0AAAAAAAAAebNuxYVCWaf5y2ULZR0AAJA3XJkDAAAAAAAAAABgxf5xmZOVlaXExESlpaXlRx4AAAAAAAAAAADcw+wyp3///oqOjpb0Z5HTsGFDBQUFycfHR+vXr8/vfAAAAAAAAAAAAEWa2WXO119/rZo1a0qSvv/+eyUlJenXX3/VgAED9O677+Z7QAAAAAAAAAAAgKLM7DLnwoUL8vT0lCStXbtWHTp00BNPPKHu3bvr4MGD+R4QAAAAAAAAAACgKDO7zPHw8NDhw4eVlZWluLg4NWvWTJJ0/fp12dra5ntAAAAAAAAAAACAoszO3AO6deumjh07ysvLSwaDQSEhIZKkHTt2qHLlyvkeEAAAAAAAAAAAoCgzu8yJiopStWrVdOrUKXXo0EEODg6SJFtbWw0bNizfAwIAAAAAAAAAABRlZpc5N2/eVPv27XPt79q1a74EAgAAAAAAAAAAwP8xu8xxc3PTM888o4YNG6pRo0aqV6+eihcvXhDZAAAAAAAAAAAAijwbcw/497//rbCwMO3YsUNt2rRRqVKlVL9+fb377ruKj48viIwAAAAAAAAAAABFltllTv369TVixAj9+OOPunz5sn7++Wf5+/trypQpCgsLK4iMAAAAAAAAAAAARZbZt1mTpN9++03r1683vm7duqVWrVqpUaNG+RwPAAAAAAAAAACgaDO7zClfvrxu3LihRo0aqVGjRho6dKhq1Kghg8FQEPkAAAAAAAAAAACKNLNvs+bu7q7r168rNTVVqampOnv2rG7cuFEQ2QAAAAAAAAAAAIo8s8ucxMREpaamatiwYbp165ZGjBihsmXLql69enr33XcLIiMAAAAAAAAAAECR9UDPzHFzc9OLL76o5557TvXq1dO3336rZcuWaceOHXrvvffyOyMAAAAAAAAAAECRZXaZs3LlSq1fv17r16/X4cOHVbp0adWvX1/Tpk1Tw4YNCyIjAAAAAAAAAABAkWV2mfPGG2+oQYMG6t27txo2bKjq1asXRC4AAAAAAAAAAADoAcqcc+fOFUQOAAAAAAAAAAAA3IfNgxx04sQJjRw5UhEREcZyZ926dfrll1/yNRwAAAAAAAAAAEBRZ3aZs2HDBlWvXl07duzQypUrlZGRIUnav3+/xowZk+8BAQAAAAAAAAAAijKzy5xhw4ZpwoQJio+Pl729vXF/kyZNtH379nwNBwAAAAAAAAAAUNSZXeYcPHhQbdu2zbW/XLlyunDhQr6EAgAAAAAAAAAAwJ/MLnPc3NyUkpKSa/++fftUvnz5fAkFAAAAAAAAAACAP9mZe0CnTp00dOhQffXVVzIYDMrOztaWLVs0ePBgdenSpSAyAgAAAAAAAHgEnZzdvlDWqdD360JZBwAKitlX5kycOFGVK1eWj4+PMjIy9OSTT6pBgwaqV6+eRo4cWRAZAQAAAAAAAAAAiiyzr8yxt7fXggULNGrUKB06dEgZGRmqXbu2AgICCiIfAAAAAAAAAABAkWZ2mXNXhQoVVKFChfzMAgAAAAAAAAAAgP+SpzJn4MCBGj9+vJycnDRw4MD/OXf69On5EgwAAAAAAAAAAAB5LHP27dunzMxM4/u/YjAY8icVAAAAAAAAAAAAJOWxzPn555+VlZVlfA8AAAAAAAAAAIDCYZPXiY899piGDRumY8eOFWQeAAAAAAAAAAAA3CPPZc6//vUvff3116pcubKef/55xcTE6Pr16wWZDQAAAAAAAAAAoMjLc5kzatQoHT9+XAkJCapUqZL69OkjLy8v9erVSzt27CjIjAAAAAAAAAAAAEVWnsucuxo1aqTFixcrNTVV06ZN05EjRxQcHKyqVatq+vTpBZERAAAAAAAAAACgyDK7zLnL2dlZPXv21ObNm/X9998rNTVVQ4YMyc9sAAAAAAAAAAAARd4DlznXr19XTEyMGjZsqBdffFFlypTRe++9l5/ZAAAAAAAAAAAAijw7cw/YunWrFi5cqK+++kp37txR+/btNX78eDVo0KAg8gEAAAAAAAAAABRpeS5zpkyZokWLFum3335TnTp1NHXqVEVERKhkyZIFmQ8AAAAAAAAAAKBIy3OZM3XqVL366qv66quvVK1atYLMBAAAAAAAAAAAgP8vz2XOmTNnVKxYsYLMAgAAAAAAAMAKnJ/3haUjAADuYZPXiRQ5AAAAAAAAAAAAhS/PZQ4AAAAAAAAAAAAKH2UOAAAAAAAAAACAFbNombNx40a1bt1a3t7eMhgMio2NNRnPycnR6NGj5eXlpeLFiyskJETHjh0zmXPp0iV17txZLi4ucnNzU48ePZSRkWEy58CBA3r++efl6OgoHx8fTZkyJVeWr776SpUrV5ajo6OqV6+utWvXmp0FAAAAAAAAAAAgv9k9yEEnTpzQokWLdOLECc2aNUvlypXTunXrVKFCBVWtWjXP57l27Zpq1qyp7t2766WXXso1PmXKFM2ePVuLFy+Wn5+fRo0apdDQUB0+fFiOjo6SpM6dOyslJUXx8fHKzMxUt27d1Lt3by1dulSSlJ6erhdeeEEhISGaP3++Dh48qO7du8vNzU29e/eWJG3dulURERGaNGmSWrVqpaVLlyo8PFx79+5VtWrV8pwFAAAAAAAAAJB3rb5eUijr2MmzUNYBCorZV+Zs2LBB1atX144dO7Ry5UrjVTD79+/XmDFjzDpX8+bNNWHCBLVt2zbXWE5OjmbOnKmRI0eqTZs2qlGjhj777DOdOXPGeAXPkSNHFBcXp08//VR169ZV/fr19eGHH2r58uU6c+aMJGnJkiW6ffu2Fi5cqKpVq6pTp07q27evpk+fblxr1qxZCgsL05AhQ1SlShWNHz9eQUFBmjNnTp6zAAAAAAAAAAAAFASzy5xhw4ZpwoQJio+Pl729vXF/kyZNtH379nwLlpSUpNTUVIWEhBj3ubq6qm7dutq2bZskadu2bXJzc1OdOnWMc0JCQmRjY6MdO3YY5zRo0MAka2hoqI4ePaq0tDTjnHvXuTvn7jp5yQIAAAAAAAAAAFAQzC5zDh48eN8racqVK6cLFy7kSyhJSk1NlSR5eHiY7Pfw8DCOpaamqly5cibjdnZ2Kl26tMmc+53j3jX+as6943+X5X5u3bql9PR0kxcAAAAAAAAAAIA5zC5z3NzclJKSkmv/vn37VL58+XwJ9aiYNGmSXF1djS8fHx9LRwIAAAAAAAAAAA8Zs8ucTp06aejQoUpNTZXBYFB2dra2bNmiwYMHq0uXLvkWzNPzzwdSnT171mT/2bNnjWOenp46d+6cyfidO3d06dIlkzn3O8e9a/zVnHvH/y7L/QwfPlxXrlwxvk6dOvU3nxoAAAAAAAAAAMCU2WXOxIkTVblyZfn4+CgjI0NPPvmkGjRooHr16mnkyJH5FszPz0+enp5KSEgw7ktPT9eOHTsUHBwsSQoODtbly5e1Z88e45yffvpJ2dnZqlu3rnHOxo0blZmZaZwTHx+vwMBAlSpVyjjn3nXuzrm7Tl6y3I+Dg4NcXFxMXgAAAAAAAAAAAOawM/cAe3t7LViwQKNGjdKhQ4eUkZGh2rVrKyAgwOzFMzIydPz4ceN2UlKSEhMTVbp0aVWoUEH9+/fXhAkTFBAQID8/P40aNUre3t4KDw+XJFWpUkVhYWHq1auX5s+fr8zMTPXp00edOnWSt7e3JOmVV17R2LFj1aNHDw0dOlSHDh3SrFmzNGPGDOO6/fr1U8OGDTVt2jS1bNlSy5cv1+7du/XJJ59IkgwGw99mAQAAAAAAAAAAKAhmlzl3VahQQRUqVPhHi+/evVuNGzc2bg8cOFCS1LVrV8XExOidd97RtWvX1Lt3b12+fFn169dXXFycHB0djccsWbJEffr0UdOmTWVjY6N27dpp9uzZxnFXV1f9+OOPeuutt/TUU0+pbNmyGj16tHr37m2cU69ePS1dulQjR47UiBEjFBAQoNjYWFWrVs04Jy9ZAAAAAAAAAAAA8pshJycnx5wD7hYuuU5kMMjR0VH+/v5q06aNSpcunS8BHyXp6elydXXVlStXuOUaAAAAAAAw27oVFwplneYvly2UdWC9zs/7olDWuZEZWyjrVOj7daGs8yhpuWpqoaxjyPIulHXs9NfPPs9Pse2bFso6hfHfgyopdwp8DUkqbkgqlHU8+v31I1MsKa+9gdlX5uzbt0979+5VVlaWAgMDJUm//fabbG1tVblyZc2dO1eDBg3S5s2b9eSTTz74JwAAAAAAAAAAAIBszD2gTZs2CgkJ0ZkzZ7Rnzx7t2bNHp0+fVrNmzRQREaE//vhDDRo00IABAwoiLwAAAAAAAAAAQJFidpkzdepUjR8/3uRyH1dXV0VFRWnKlCkqUaKERo8erT179uRrUAAAAAAAAAAAgKLI7DLnypUrOnfuXK7958+fV3p6uiTJzc1Nt2/f/ufpAAAAAAAAAAAAirgHus1a9+7dtWrVKp0+fVqnT5/WqlWr1KNHD4WHh0uSdu7cqSeeeCK/swIAAAAAAAAAABQ5duYe8PHHH2vAgAHq1KmT7ty58+dJ7OzUtWtXzZgxQ5JUuXJlffrpp/mbFAAAAAAAAAAAK9Z31alCWae5ihfKOrAeZpc5zs7OWrBggWbMmKHff/9dklSpUiU5Ozsb59SqVSvfAgIAAAAAAAAAABRlZpc5dzk7O6tGjRr5mQUAAAAAAAAAAAD/5YHKnN27d+vLL7/UyZMndfv2bZOxlStX5kswAAAAAAAAAAAASDbmHrB8+XLVq1dPR44c0apVq5SZmalffvlFP/30k1xdXQsiIwAAAAAAAAAAQJFldpkzceJEzZgxQ99//73s7e01a9Ys/frrr+rYsaMqVKhQEBkBAAAAAAAAAACKLLPLnBMnTqhly5aSJHt7e127dk0Gg0EDBgzQJ598ku8BAQAAAAAAAAAAijKzy5xSpUrp6tWrkqTy5cvr0KFDkqTLly/r+vXr+ZsOAAAAAAAAAACgiLMz94AGDRooPj5e1atXV4cOHdSvXz/99NNPio+PV9OmTQsiIwAAAAAAAAAAQJFldpkzZ84c3bx5U5L07rvvqlixYtq6davatWunkSNH5ntAAAAAAAAAAACAosysMic5OVnx8fG6ffu2GjZsqGrVqmnYsGEFlQ0AAAAAAAAAAKDIy3OZ8/PPP6tVq1a6cePGnwfa2WnhwoV69dVXCywcAAAAAAAAAABAUWeT14mjRo1Ss2bN9Mcff+jixYvq1auX3nnnnYLMBgAAAAAAAAAAUOTlucw5dOiQJk6cKC8vL5UqVUpTp07VuXPndPHixYLMBwAAAAAAAAAAUKTlucxJT09X2bJljdslSpRQ8eLFdeXKlQIJBgAAAAAAAAAAADOemSNJP/zwg1xdXY3b2dnZSkhI0KFDh4z7XnzxxfxLBwAAAAAAAAAAUMSZVeZ07do1177XX3/d+N5gMCgrK+ufpwIAAAAAAAAAAIAkM8qc7OzsgswBAAAAAAAAAACA+8jzM3MAAAAAAAAAAABQ+ChzAAAAAAAAAAAArBhlDgAAAAAAAAAAgBWjzAEAAAAAAAAAALBilDkAAAAAAAAAAABWzO5BDrp8+bK+/vprnThxQkOGDFHp0qW1d+9eeXh4qHz58vmdEQAAAAAAAAAgqduqsEJaqWkhrQMgL8wucw4cOKCQkBC5uroqOTlZvXr1UunSpbVy5UqdPHlSn332WUHkBAAAAAAAAIAH8kN0i0JZJ7TH2kJZB0DRY/Zt1gYOHKjIyEgdO3ZMjo6Oxv0tWrTQxo0b8zUcAAAAAAAAAABAUWd2mbNr1y69/vrrufaXL19eqamp+RIKAAAAAAAAAAAAfzK7zHFwcFB6enqu/b/99pvc3d3zJRQAAAAAAAAAAAD+ZHaZ8+KLL2rcuHHKzMyUJBkMBp08eVJDhw5Vu3bt8j0gAAAAAAAAAABAUWZ2mTNt2jRlZGSoXLlyunHjhho2bCh/f3+VLFlS7733XkFkBAAAAAAAAAAAKLLszD3A1dVV8fHx2rx5sw4cOKCMjAwFBQUpJCSkIPIBAAAAAAAAAAAUaWaXOXfVr19f9evXz88sAAAAAAAAAAAA+C9mlzmzZ8++736DwSBHR0f5+/urQYMGsrW1/cfhAAAAAAAAAOBh8fHnoQW/iLOh4NcAYHXMLnNmzJih8+fP6/r16ypVqpQkKS0tTSVKlJCzs7POnTunSpUq6eeff5aPj0++BwYAAAAAAAAAAChKbMw9YOLEiXr66ad17NgxXbx4URcvXtRvv/2munXratasWTp58qQ8PT01YMCAgsgLAAAAAAAAAABQpJh9Zc7IkSP1zTff6PHHHzfu8/f31wcffKB27drp999/15QpU9SuXbt8DQoAAAAAAAAAAFAUmX1lTkpKiu7cuZNr/507d5SamipJ8vb21tWrV/95OgAAAAAAAAAAgCLO7DKncePGev3117Vv3z7jvn379unNN99UkyZNJEkHDx6Un59f/qUEAAAAAAAAAAAooswuc6Kjo1W6dGk99dRTcnBwkIODg+rUqaPSpUsrOjpakuTs7Kxp06ble1gAAAAAAAAAAICixuxn5nh6eio+Pl6//vqrfvvtN0lSYGCgAgMDjXMaN26cfwkBAAAAAAAAAACKMLPLnLsqV66sypUr52cWAAAAAAAAAAAA/JcHKnNOnz6t7777TidPntTt27dNxqZPn54vwQAAAAAAAAAAAPAAZU5CQoJefPFFVapUSb/++quqVaum5ORk5eTkKCgoqCAyAgAAAAAAAAAAFFk25h4wfPhwDR48WAcPHpSjo6O++eYbnTp1Sg0bNlSHDh0KIiMAAAAAAAAAAECRZXaZc+TIEXXp0kWSZGdnpxs3bsjZ2Vnjxo3T+++/n+8BAQAAAAAAAAAAijKzyxwnJyfjc3K8vLx04sQJ49iFCxfyLxkAAAAAAAAAAADMf2bOs88+q82bN6tKlSpq0aKFBg0apIMHD2rlypV69tlnCyIjAAAAAAAAAABAkWV2mTN9+nRlZGRIksaOHauMjAytWLFCAQEBmj59er4HBAAAAAAAAAAAKMrMKnOysrJ0+vRp1ahRQ9Kft1ybP39+gQQDAAAAAAAAAACAmc/MsbW11QsvvKC0tLSCygMAAAAAAAAAAIB7mFXmSFK1atX0+++/F0QWAAAAAAAAAAAA/Bezy5wJEyZo8ODBWr16tVJSUpSenm7yAgAAAAAAAAAAQP4x65k5ktSiRQtJ0osvviiDwWDcn5OTI4PBoKysrPxLBwAAAAAAAAAAUMSZXeb8/PPPBZEDAAAAAAAAAAAA92F2mdOwYcOCyAEAAAAAAAAAAID7MPuZOZK0adMmvfrqq6pXr57++OMPSdLnn3+uzZs352s4AAAAAAAAAACAos7sMuebb75RaGioihcvrr179+rWrVuSpCtXrmjixIn5HhAAAAAAAAAAAKAoM7vMmTBhgubPn68FCxaoWLFixv3PPfec9u7dm6/hAAAAAAAAAAAAijqzy5yjR4+qQYMGufa7urrq8uXL+ZEJAAAAAAAAAAAA/5/ZZY6np6eOHz+ea//mzZtVqVKlfAkFAAAAAAAAAACAP5ld5vTq1Uv9+vXTjh07ZDAYdObMGS1ZskSDBw/Wm2++WRAZAQAAAAAAAAAAiiw7cw8YNmyYsrOz1bRpU12/fl0NGjSQg4ODBg8erLfffrsgMgIAAAAAAAAAABRZZpc5BoNB7777roYMGaLjx48rIyNDTz75pJydnQsiHwAAAAAAAAAAQJFm9m3WvvjiC12/fl329vZ68skn9cwzz1DkAAAAAAAAAAAAFBCzy5wBAwaoXLlyeuWVV7R27VplZWUVRC4AAAAAAAAAAADoAcqclJQULV++XAaDQR07dpSXl5feeustbd26tSDyAQAAAAAAAAAAFGlmlzl2dnZq1aqVlixZonPnzmnGjBlKTk5W48aN9fjjjxdERgAAAAAAAAAAgCLL7p8cXKJECYWGhiotLU3/+c9/dOTIkfzKBQAAAAAAAAAAAD3AlTmSdP36dS1ZskQtWrRQ+fLlNXPmTLVt21a//PJLfucDAAAAAAAAAAAo0sy+MqdTp05avXq1SpQooY4dO2rUqFEKDg4uiGwAAAAAAAB4hJ2dta1Q1vHox/+7AgA83Mwuc2xtbfXll18qNDRUtra2JmOHDh1StWrV8i0cAAAAAAAAAABAUWd2mbNkyRKT7atXr2rZsmX69NNPtWfPHmVlZeVbOAAAAAAAAAAAgKLugZ6ZI0kbN25U165d5eXlpQ8++EBNmjTR9u3b8zMbAAAAAAAAAABAkWfWlTmpqamKiYlRdHS00tPT1bFjR926dUuxsbF68sknCyojAAAAAAAAAABAkZXnK3Nat26twMBAHThwQDNnztSZM2f04YcfFmQ2AAAAAAAAAACAIi/PV+asW7dOffv21ZtvvqmAgICCzAQAAAAAAAALSp6ZWijrFDcUyjIAADz08nxlzubNm3X16lU99dRTqlu3rubMmaMLFy4UZDYAAAAAAAAAAIAiL89lzrPPPqsFCxYoJSVFr7/+upYvXy5vb29lZ2crPj5eV69eLcicAAAAAAAAAAAARVKey5y7nJyc1L17d23evFkHDx7UoEGDNHnyZJUrV04vvvhiQWQEAAAAAAAAAAAosswuc+4VGBioKVOm6PTp01q2bFl+ZQIAAAAAAAAAAMD/94/KnLtsbW0VHh6u7777Lj9OBwAAAAAAAAAAgP8vX8ocAAAAAAAAAAAAFAzKHAAAAAAAAAAAACtGmQMAAAAAAAAAAGDFKHMAAAAAAAAAAACsGGUOAAAAAAAAAACAFbP6MsfX11cGgyHX66233pIkNWrUKNfYG2+8YXKOkydPqmXLlipRooTKlSunIUOG6M6dOyZz1q9fr6CgIDk4OMjf318xMTG5snz00Ufy9fWVo6Oj6tatq507dxbY5wYAAAAAAAAAAJAegjJn165dSklJMb7i4+MlSR06dDDO6dWrl8mcKVOmGMeysrLUsmVL/b/27j5I67rQ//9rWdrlRhdSgYUgQBuO4B2KiTumUXLYCJ0sPOOxvkaodHB2M9hTemgcMD2Nk4U3pyA63oCl5l1ZiR4Q0eh4RG0wvE1KBMnRBc1iFZVF2N8fZ7x+7hFNlL32AzweM9fI9bne+3m/P5eO79l58rmu1tbW3HfffbnmmmuyYMGCzJw5szRmzZo1mTBhQj71qU9l5cqVmTZtWs4888wsXry4NObGG29MU1NTZs2alYceeiiHHXZY6uvrs2HDhjK8CwAAAAAAwJ6q8DGnT58+qa2tLT0WLlyYAw44IJ/85CdLY3r06NFuTE1NTem1O++8M0888USuvfbajBw5MuPHj8+FF16YOXPmpLW1NUkyb968DB06NLNnz87w4cPT2NiYk08+OZdeemnpPJdcckmmTJmSyZMnZ8SIEZk3b1569OiRq6++unxvBgAAAAAAsMcpfMx5q9bW1lx77bU5/fTTU1FRUTp+3XXXZb/99svBBx+cGTNm5NVXXy29tnz58hxyyCHp169f6Vh9fX1aWlry+OOPl8aMHTu23Vz19fVZvnx5ad4VK1a0G9OlS5eMHTu2NGZ7Nm/enJaWlnYPAAAAAACAHdG1sxewI375y1/mb3/7W77yla+Ujn3xi1/M4MGDM2DAgDzyyCM599xzs2rVqvziF79IkjQ3N7cLOUlKz5ubm991TEtLS1577bX89a9/zdatW7c75sknn3zH9V500UX59re//b6vFwAAAAAAYJeKOVdddVXGjx+fAQMGlI599atfLf35kEMOSf/+/XP88cdn9erVOeCAAzpjmSUzZsxIU1NT6XlLS0sGDRrUiSsCAAAAAAB2NbtMzHnmmWdy1113le64eSejR49Okjz11FM54IADUltbmwcffLDdmPXr1ydJamtrS/9889hbx9TU1KR79+6prKxMZWXldse8eY7tqa6uTnV19Xu7QAAAAAAAgO3YZb4zZ/78+enbt28mTJjwruNWrlyZJOnfv3+SpK6uLo8++mg2bNhQGrNkyZLU1NRkxIgRpTFLly5td54lS5akrq4uSVJVVZVRo0a1G7Nt27YsXbq0NAYAAAAAAKAj7BIxZ9u2bZk/f34mTZqUrl3//5uJVq9enQsvvDArVqzI2rVr8+tf/zpf/vKXc9xxx+XQQw9NkowbNy4jRozIaaedlocffjiLFy/Oeeedl4aGhtJdM1OnTs3TTz+dc845J08++WTmzp2bm266KdOnTy/N1dTUlCuuuCLXXHNN/vCHP+Sss87Kpk2bMnny5PK+GQAAAAAAwB5ll/iYtbvuuivr1q3L6aef3u54VVVV7rrrrlx22WXZtGlTBg0alIkTJ+a8884rjamsrMzChQtz1llnpa6uLj179sykSZNywQUXlMYMHTo0t99+e6ZPn57LL788AwcOzJVXXpn6+vrSmFNOOSUvvPBCZs6cmebm5owcOTKLFi1Kv379Ov4NAAAAAAAA9li7RMwZN25c2tra3nZ80KBBWbZs2d/9+cGDB+eOO+541zFjxozJ73//+3cd09jYmMbGxr87HwAAAAAAwM6yS3zMGgAAAAAAwJ5KzAEAAAAAACgwMQcAAAAAAKDAxBwAAAAAAIACE3MAAAAAAAAKTMwBAAAAAAAoMDEHAAAAAACgwMQcAAAAAACAAhNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAAqsa2cvAAAAACiWCbd+ryzz3P75b5ZlHgCAXZ07cwAAAAAAAApMzAEAAAAAACgwMQcAAAAAAKDAxBwAAAAAAIACE3MAAAAAAAAKTMwBAAAAAAAoMDEHAAAAAACgwMQcAAAAAACAAhNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAApMzAEAAAAAACgwMQcAAAAAAKDAxBwAAAAAAIAC69rZCwAAYM9zwi3XlWWehSd/qSzzAMDZt/65LPOMT/eyzAMAFIuYAwAAQNmt+4+TyzLPR8++pSzzAABAR/IxawAAAAAAAAUm5gAAAAAAABSYmAMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUmJgDAAAAAABQYF07ewEAAADAnumEW67r8DkWnvylDp8DAKCjuTMHAAAAAACgwMQcAAAAAACAAvMxawAAAMBu66RblpZlno9WDivLPADAnknMAQAAYLe1+KrPlmWe+jPuKMs8AADsmcQcAAAA+IB+/NP6sszzL6ctLss8AAAUi+/MAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAApMzAEAAAAAACgwMQcAAAAAAKDAxBwAAAAAAIACE3MAAAAAAAAKTMwBAAAAAAAoMDEHAAAAAACgwMQcAAAAAACAAhNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMC6dvYCAAAAKJYXfnRtZy8BAAB4C3fmAAAAAAAAFJiYAwAAAAAAUGBiDgAAAAAAQIH5zhwAAKBk7WXNZZlnyLTasswDAACwO3BnDgAAAAAAQIGJOQAAAAAAAAUm5gAAAAAAABSYmAMAAAAAAFBgXTt7AQAAAMB7M/nWz5RppuPLNA8AAO+FO3MAAAAAAAAKTMwBAAAAAAAoMDEHAAAAAACgwMQcAAAAAACAAhNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAApMzAEAAAAAACgwMQcAAAAAAKDAxBwAAAAAAIACE3MAAAAAAAAKTMwBAAAAAAAoMDEHAAAAAACgwMQcAAAAAACAAhNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAAqs0DHn/PPPT0VFRbvHgQceWHr99ddfT0NDQ/bdd9/stddemThxYtavX9/uHOvWrcuECRPSo0eP9O3bN9/85jfzxhtvtBvzm9/8JkcccUSqq6vzsY99LAsWLHjbWubMmZMhQ4akW7duGT16dB588MEOuWYAAAAAAIC3KnTMSZKDDjoozz//fOlx7733ll6bPn16brvtttx8881ZtmxZnnvuuXzhC18ovb5169ZMmDAhra2tue+++3LNNddkwYIFmTlzZmnMmjVrMmHChHzqU5/KypUrM23atJx55plZvHhxacyNN96YpqamzJo1Kw899FAOO+yw1NfXZ8OGDeV5EwAAAAAAgD1W4WNO165dU1tbW3rst99+SZKNGzfmqquuyiWXXJJPf/rTGTVqVObPn5/77rsv999/f5LkzjvvzBNPPJFrr702I0eOzPjx43PhhRdmzpw5aW1tTZLMmzcvQ4cOzezZszN8+PA0Njbm5JNPzqWXXlpawyWXXJIpU6Zk8uTJGTFiRObNm5cePXrk6quvLv8bAgAAAAAA7FEKH3P+9Kc/ZcCAAdl///3zpS99KevWrUuSrFixIlu2bMnYsWNLYw888MB89KMfzfLly5Mky5cvzyGHHJJ+/fqVxtTX16elpSWPP/54acxbz/HmmDfP0dramhUrVrQb06VLl4wdO7Y05p1s3rw5LS0t7R4AAAAAAAA7otAxZ/To0VmwYEEWLVqUH/3oR1mzZk2OPfbYvPzyy2lubk5VVVV69+7d7mf69euX5ubmJElzc3O7kPPm62++9m5jWlpa8tprr+XFF1/M1q1btzvmzXO8k4suuii9evUqPQYNGrTD7wEAAAAAALBn69rZC3g348ePL/350EMPzejRozN48ODcdNNN6d69eyeu7L2ZMWNGmpqaSs9bWloEHQAAAAAAYIcU+s6c/6t3794ZNmxYnnrqqdTW1qa1tTV/+9vf2o1Zv359amtrkyS1tbVZv379215/87V3G1NTU5Pu3btnv/32S2Vl5XbHvHmOd1JdXZ2ampp2DwAAAAAAgB2xS8WcV155JatXr07//v0zatSofOhDH8rSpUtLr69atSrr1q1LXV1dkqSuri6PPvpoNmzYUBqzZMmS1NTUZMSIEaUxbz3Hm2PePEdVVVVGjRrVbsy2bduydOnS0hgAAAAAAICOUuiY841vfCPLli3L2rVrc9999+Xzn/98Kisrc+qpp6ZXr14544wz0tTUlHvuuScrVqzI5MmTU1dXl6OPPjpJMm7cuIwYMSKnnXZaHn744SxevDjnnXdeGhoaUl1dnSSZOnVqnn766Zxzzjl58sknM3fu3Nx0002ZPn16aR1NTU254oorcs011+QPf/hDzjrrrGzatCmTJ0/ulPcFAAAAAADYcxT6O3OeffbZnHrqqfnLX/6SPn365BOf+ETuv//+9OnTJ0ly6aWXpkuXLpk4cWI2b96c+vr6zJ07t/TzlZWVWbhwYc4666zU1dWlZ8+emTRpUi644ILSmKFDh+b222/P9OnTc/nll2fgwIG58sorU19fXxpzyimn5IUXXsjMmTPT3NyckSNHZtGiRenXr1/53gwAAAAAAGCPVOiYc8MNN7zr6926dcucOXMyZ86cdxwzePDg3HHHHe96njFjxuT3v//9u45pbGxMY2Pju44BAAAAAADY2QodcwAAgN3T+suXl2Wefl/3PZcAAMCur9DfmQMAAAAAALCnc2cOAAC7rZNuWVqWeX558vFlmQcAAIA9kztzAAAAAAAACsydOQAA8AGdfeufyzLP+NbuHT7H8A6fAQAAgB3lzhwAAAAAAIACE3MAAAAAAAAKTMwBAAAAAAAoMDEHAAAAAACgwMQcAAAAAACAAhNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAApMzAEAAAAAACgwMQcAAAAAAKDAxBwAAAAAAIACE3MAAAAAAAAKrGtnLwAAgOKYcOv3yjJPRQaUZR4AAADYHbgzBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAApMzAEAAAAAACgwMQcAAAAAAKDAxBwAAAAAAIACE3MAAAAAAAAKTMwBAAAAAAAosK6dvQCAXdnZt/65LPP8x+cHlWUeAAAAAKB43JkDAAAAAABQYGIOAAAAAABAgYk5AAAAAAAABeY7cwAoWXtZc1nmGTKttizzAAAAAMDuwJ05AAAAAAAABSbmAAAAAAAAFJiYAwAAAAAAUGBiDgAAAAAAQIGJOQAAAAAAAAUm5gAAAAAAABSYmAMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUmJgDAAAAAABQYGIOAAAAAABAgYk5AAAAAAAABSbmAAAAAAAAFJiYAwAAAAAAUGBiDgAAAAAAQIGJOQAAAAAAAAUm5gAAAAAAABSYmAMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUmJgDAAAAAABQYGIOAAAAAABAgXXt7AUAAPD3Tb71M2Wa6fgyzQMAAAC8V+7MAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAApMzAEAAAAAACiwrp29AACgOF740bVlmafPWf+vLPMAAAAA7A7cmQMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUmJgDAAAAAABQYGIOAAAAAABAgXXt7AUAdISTbllalnk+WjmsLPPA7mbdf5xclnk+evYtZZkHAAAAoCOJOQAAH9CPf1rf8ZPsVdHxcwAAAACF5GPWAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAAqsa2cvAACgoyy+6rPlmaiqPNMAAAAAeyZ35gAAAAAAABSYmAMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUWNfOXgAAe571ly8vyzz9vl5XlnkAAAAAoCO5MwcAAAAAAKDA3JkDsAv4rxtfLMs8w8syCwAAAACwI9yZAwAAAAAAUGBiDgAAAAAAQIGJOQAAAAAAAAUm5gAAAAAAABRYoWPORRddlI9//OPZe++907dv35x00klZtWpVuzFjxoxJRUVFu8fUqVPbjVm3bl0mTJiQHj16pG/fvvnmN7+ZN954o92Y3/zmNzniiCNSXV2dj33sY1mwYMHb1jNnzpwMGTIk3bp1y+jRo/Pggw/u9GsGAAAAAAB4q0LHnGXLlqWhoSH3339/lixZki1btmTcuHHZtGlTu3FTpkzJ888/X3pcfPHFpde2bt2aCRMmpLW1Nffdd1+uueaaLFiwIDNnziyNWbNmTSZMmJBPfepTWblyZaZNm5YzzzwzixcvLo258cYb09TUlFmzZuWhhx7KYYcdlvr6+mzYsKHj3wgAAAAAAGCP1bWzF/BuFi1a1O75ggUL0rdv36xYsSLHHXdc6XiPHj1SW1u73XPceeedeeKJJ3LXXXelX79+GTlyZC688MKce+65Of/881NVVZV58+Zl6NChmT17dpJk+PDhuffee3PppZemvr4+SXLJJZdkypQpmTx5cpJk3rx5uf3223P11Vfn3/7t3zri8gEAAAAAAIp9Z87/tXHjxiTJPvvs0+74ddddl/322y8HH3xwZsyYkVdffbX02vLly3PIIYekX79+pWP19fVpaWnJ448/XhozduzYduesr6/P8uXLkyStra1ZsWJFuzFdunTJ2LFjS2O2Z/PmzWlpaWn3AAAAAAAA2BGFvjPnrbZt25Zp06blmGOOycEHH1w6/sUvfjGDBw/OgAED8sgjj+Tcc8/NqlWr8otf/CJJ0tzc3C7kJCk9b25uftcxLS0tee211/LXv/41W7du3e6YJ5988h3XfNFFF+Xb3/72+79oAAAAAABgj7fLxJyGhoY89thjuffee9sd/+pXv1r68yGHHJL+/fvn+OOPz+rVq3PAAQeUe5ntzJgxI01NTaXnLS0tGTRoUCeuCAAAAAAA2NXsEjGnsbExCxcuzG9/+9sMHDjwXceOHj06SfLUU0/lgAMOSG1tbR588MF2Y9avX58kpe/Zqa2tLR1765iampp07949lZWVqays3O6Yd/quniSprq5OdXX1e7tIAAAAAACA7Sj0d+a0tbWlsbExt956a+6+++4MHTr07/7MypUrkyT9+/dPktTV1eXRRx/Nhg0bSmOWLFmSmpqajBgxojRm6dKl7c6zZMmS1NXVJUmqqqoyatSodmO2bduWpUuXlsYAAAAAAAB0hELfmdPQ0JDrr78+v/rVr7L33nuXvuOmV69e6d69e1avXp3rr78+n/3sZ7PvvvvmkUceyfTp03Pcccfl0EMPTZKMGzcuI0aMyGmnnZaLL744zc3NOe+889LQ0FC6a2bq1Kn54Q9/mHPOOSenn3567r777tx00025/fbbS2tpamrKpEmTcuSRR+aoo47KZZddlk2bNmXy5Mnlf2MAAAAAAIA9RqFjzo9+9KMkyZgxY9odnz9/fr7yla+kqqoqd911VymsDBo0KBMnTsx5551XGltZWZmFCxfmrLPOSl1dXXr27JlJkyblggsuKI0ZOnRobr/99kyfPj2XX355Bg4cmCuvvDL19fWlMaecckpeeOGFzJw5M83NzRk5cmQWLVqUfv36deybAAAAAAAA7NEKHXPa2tre9fVBgwZl2bJlf/c8gwcPzh133PGuY8aMGZPf//737zqmsbExjY2Nf3c+AAAAAACAnaXQMQfYPZ1wy3UdPkfX1Hb4HAAAAAAA5dClsxcAAAAAAADAOxNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAApMzAEAAAAAACgwMQcAAAAAAKDAxBwAAAAAAIACE3MAAAAAAAAKTMwBAAAAAAAoMDEHAAAAAACgwMQcAAAAAACAAhNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMC6dvYCgOKYcOv3yjJPRQaUZR4AAAAAgN2BO3MAAAAAAAAKTMwBAAAAAAAoMDEHAAAAAACgwMQcAAAAAACAAhNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAApMzAEAAAAAACgwMQcAAAAAAKDAxBwAAAAAAIACE3MAAAAAAAAKTMwBAAAAAAAoMDEHAAAAAACgwMQcAAAAAACAAhNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMDEHAAAAAAAgAITcwAAAAAAAApMzAEAAAAAACgwMQcAAAAAAKDAxBwAAAAAAIACE3MAAAAAAAAKTMwBAAAAAAAoMDEHAAAAAACgwMQcAAAAAACAAhNzAAAAAAAACkzMAQAAAAAAKDAxBwAAAAAAoMC6dvYCgL9v8q2fKdNMx5dpHgAAAAAA3it35gAAAAAAABSYmAMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUmJgDAAAAAABQYGIOAAAAAABAgYk5AAAAAAAABSbmAAAAAAAAFJiYAwAAAAAAUGBiDgAAAAAAQIGJOQAAAAAAAAUm5gAAAAAAABSYmAMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUmJgDAAAAAABQYGIOAAAAAABAgYk5AAAAAAAABSbmAAAAAAAAFJiYAwAAAAAAUGBiDgAAAAAAQIGJOQAAAAAAAAUm5gAAAAAAABSYmAMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUmJgDAAAAAABQYGIOAAAAAABAgYk5AAAAAAAABSbmAAAAAAAAFJiYAwAAAAAAUGBiDgAAAAAAQIGJOQAAAAAAAAUm5gAAAAAAABSYmAMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUmJizg+bMmZMhQ4akW7duGT16dB588MHOXhIAAAAAALAbE3N2wI033pimpqbMmjUrDz30UA477LDU19dnw4YNnb00AAAAAABgNyXm7IBLLrkkU6ZMyeTJkzNixIjMmzcvPXr0yNVXX93ZSwMAAAAAAHZTXTt7AbuK1tbWrFixIjNmzCgd69KlS8aOHZvly5dv92c2b96czZs3l55v3LgxSdLS0tKxi2W30/rqG2WZZ0teL8s8FVtf7fA52rKpw+dIktbKl8syz6ut5flv4OXXyzPPGxXl+ffT3f9vd9jLr71Wlnlee2NLWebZ1KU887y2dVuHz9HapaLD50h2r70gsR+8H/YCkvLsB/aC98d+sOPsBe+P/QC/G7w/fjfYcX43eH/8brDjiroXvNkL2tra3nVcRdvfG0GS5LnnnstHPvKR3HfffamrqysdP+ecc7Js2bI88MADb/uZ888/P9/+9rfLuUwAAAAAAGAX8+c//zkDBw58x9fdmdOBZsyYkaamptLzbdu25aWXXsq+++6bioryFHQompaWlgwaNCh//vOfU1NT09nLAaAT2AsASOwHANgLIPnfO3JefvnlDBgw4F3HiTnv0X777ZfKysqsX7++3fH169entrZ2uz9TXV2d6urqdsd69+7dUUuEXUpNTY1NGmAPZy8AILEfAGAvgF69ev3dMV3KsI7dQlVVVUaNGpWlS5eWjm3bti1Lly5t97FrAAAAAAAAO5M7c3ZAU1NTJk2alCOPPDJHHXVULrvssmzatCmTJ0/u7KUBAAAAAAC7KTFnB5xyyil54YUXMnPmzDQ3N2fkyJFZtGhR+vXr19lLg11GdXV1Zs2a9baPIARgz2EvACCxHwBgL4AdUdHW1tbW2YsAAAAAAABg+3xnDgAAAAAAQIGJOQAAAAAAAAUm5gAAAAAAABSYmAMAAAAAAFBgYg6wQy666KJ8/OMfz957752+ffvmpJNOyqpVq9qNef3119PQ0JB99903e+21VyZOnJj169e3G3P22Wdn1KhRqa6uzsiRI7c7V1tbW77//e9n2LBhqa6uzkc+8pF85zvf6ahLA2AHlGs/OP/881NRUfG2R8+ePTvy8gB4D8r5u8HixYtz9NFHZ++9906fPn0yceLErF27toOuDIAdUc794KabbsrIkSPTo0ePDB48ON/73vc66rKgcMQcYIcsW7YsDQ0Nuf/++7NkyZJs2bIl48aNy6ZNm0pjpk+fnttuuy0333xzli1blueeey5f+MIX3nau008/Paeccso7zvX1r389V155Zb7//e/nySefzK9//escddRRHXJdAOyYcu0H3/jGN/L888+3e4wYMSL/9E//1GHXBsB7U669YM2aNfnc5z6XT3/601m5cmUWL16cF198cbvnAaD8yrUf/Nd//Ve+9KUvZerUqXnssccyd+7cXHrppfnhD3/YYdcGRVLR1tbW1tmLAHZdL7zwQvr27Ztly5bluOOOy8aNG9OnT59cf/31Ofnkk5MkTz75ZIYPH57ly5fn6KOPbvfz559/fn75y19m5cqV7Y7/4Q9/yKGHHprHHnss//AP/1CuywHgfeqo/eD/evjhhzNy5Mj89re/zbHHHttRlwPA+9BRe8Ett9ySU089NZs3b06XLv/7d1Jvu+22fO5zn8vmzZvzoQ99qCzXB8B701H7wRe/+MVs2bIlN998c+nYD37wg1x88cVZt25dKioqOvzaoDO5Mwf4QDZu3Jgk2WeffZIkK1asyJYtWzJ27NjSmAMPPDAf/ehHs3z58vd83ttuuy37779/Fi5cmKFDh2bIkCE588wz89JLL+3cCwBgp+io/eD/uvLKKzNs2DAhB6CAOmovGDVqVLp06ZL58+dn69at2bhxY376059m7NixQg5AAXXUfrB58+Z069at3bHu3bvn2WefzTPPPLMTVg7FJuYA79u2bdsybdq0HHPMMTn44IOTJM3Nzamqqkrv3r3bje3Xr1+am5vf87mffvrpPPPMM7n55pvzk5/8JAsWLMiKFStKf4MDgOLoyP3grV5//fVcd911OeOMMz7okgHYyTpyLxg6dGjuvPPOfOtb30p1dXV69+6dZ599NjfddNPOvAQAdoKO3A/q6+vzi1/8IkuXLs22bdvyxz/+MbNnz06SPP/88zvtGqCoxBzgfWtoaMhjjz2WG264Yaefe9u2bdm8eXN+8pOf5Nhjj82YMWNy1VVX5Z577nnbl+gB0Lk6cj94q1tvvTUvv/xyJk2a1KHzALDjOnIvaG5uzpQpUzJp0qT87ne/y7Jly1JVVZWTTz45PjkeoFg6cj+YMmVKGhsbc8IJJ6SqqipHH310/vmf/zlJSh/DCbsz/5UD70tjY2MWLlyYe+65JwMHDiwdr62tTWtra/72t7+1G79+/frU1ta+5/P3798/Xbt2zbBhw0rHhg8fniRZt27dB1s8ADtNR+8Hb3XllVfmhBNOSL9+/T7IkgHYyTp6L5gzZ0569eqViy++OIcffniOO+64XHvttVm6dGkeeOCBnXUZAHxAHb0fVFRU5Lvf/W5eeeWVPPPMM2lubs5RRx2VJNl///13yjVAkYk5wA5pa2tLY2Njbr311tx9990ZOnRou9dHjRqVD33oQ1m6dGnp2KpVq7Ju3brU1dW953mOOeaYvPHGG1m9enXp2B//+MckyeDBgz/gVQDwQZVrP3jTmjVrcs899/iINYACKdde8Oqrr77tb1xXVlYm+d87+gHoXOX+3aCysjIf+chHUlVVlZ/97Gepq6tLnz59PvB1QNF17ewFALuWhoaGXH/99fnVr36Vvffeu/TZpr169Ur37t3Tq1evnHHGGWlqaso+++yTmpqafO1rX0tdXV2OPvro0nmeeuqpvPLKK2lubs5rr72WlStXJklGjBiRqqqqjB07NkcccUROP/30XHbZZdm2bVsaGhryj//4j+3u1gGgc5RrP3jT1Vdfnf79+2f8+PFlvU4A3lm59oIJEybk0ksvzQUXXJBTTz01L7/8cr71rW9l8ODBOfzwwzvj0gF4i3LtBy+++GJuueWWjBkzJq+//nrmz5+fm2++OcuWLeuMy4ayq2jzAbPADqioqNju8fnz5+crX/lKkv/9gup//dd/zc9+9rNs3rw59fX1mTt3brtbZ8eMGbPdzXbNmjUZMmRIkuS5557L1772tdx5553p2bNnxo8fn9mzZ2efffbZ6dcFwI4p536wbdu2DB48OF/+8pfzne98Z6dfCwDvTzn3ghtuuCEXX3xx/vjHP6ZHjx6pq6vLd7/73Rx44IE7/boA2DHl2g9efPHFnHjiiXn00UfT1taWurq6fOc738no0aM75LqgaMQcAAAAAACAAvOdOQAAAAAAAAUm5gAAAAAAABSYmAMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUmJgDAAAAAABQYGIOAAAAAABAgYk5AAAAO6CtrS1jx45NfX39216bO3duevfunWeffbYTVgYAAOyuxBwAAIAdUFFRkfnz5+eBBx7Ij3/849LxNWvW5JxzzskPfvCDDBw4cKfOuWXLlp16PgAAYNci5gAAAOygQYMG5fLLL883vvGNrFmzJm1tbTnjjDMybty4HH744Rk/fnz22muv9OvXL6eddlpefPHF0s8uWrQon/jEJ9K7d+/su+++OeGEE7J69erS62vXrk1FRUVuvPHGfPKTn0y3bt1y3XXX5ZlnnsmJJ56YD3/4w+nZs2cOOuig3HHHHZ1x+QAAQJlVtLW1tXX2IgAAAHZFJ510UjZu3JgvfOELufDCC/P444/noIMOyplnnpkvf/nLee2113LuuefmjTfeyN13350k+fnPf56KiooceuiheeWVVzJz5sysXbs2K1euTJcuXbJ27doMHTo0Q4YMyezZs3P44YenW7dumTJlSlpbWzN79uz07NkzTzzxRGpqanLcccd18rsAAAB0NDEHAADgfdqwYUMOOuigvPTSS/n5z3+exx57LP/93/+dxYsXl8Y8++yzGTRoUFatWpVhw4a97Rwvvvhi+vTpk0cffTQHH3xwKeZcdtll+frXv14ad+ihh2bixImZNWtWWa4NAAAoDh+zBgAA8D717ds3//Iv/5Lhw4fnpJNOysMPP5x77rkne+21V+lx4IEHJknpo9T+9Kc/5dRTT83++++fmpqaDBkyJEmybt26duc+8sgj2z0/++yz8+///u855phjMmvWrDzyyCMdf4EAAEAhiDkAAAAfQNeuXdO1a9ckySuvvJITTzwxK1eubPf405/+VPo4tBNPPDEvvfRSrrjiijzwwAN54IEHkiStra3tztuzZ892z88888w8/fTTOe200/Loo4/myCOPzA9+8IMyXCEAANDZunb2AgAAAHYXRxxxRH7+859nyJAhpcDzVn/5y1+yatWqXHHFFTn22GOTJPfee+97Pv+gQYMyderUTJ06NTNmzMgVV1yRr33taztt/QAAQDG5MwcAAGAnaWhoyEsvvZRTTz01v/vd77J69eosXrw4kydPztatW/PhD384++67b/7zP/8zTz31VO6+++40NTW9p3NPmzYtixcvzpo1a/LQQw/lnnvuyfDhwzv4igAAgCIQcwAAAHaSAQMG5H/+53+ydevWjBs3LoccckimTZuW3r17p0uXLunSpUtuuOGGrFixIgcffHCmT5+e733ve+/p3Fu3bk1DQ0OGDx+ez3zmMxk2bFjmzp3bwVcEAAAUQUVbW1tbZy8CAAAAAACA7XNnDgAAAAAAQIGJOQAAAAAAAAUm5gAAAAAAABSYmAMAAAAAAFBgYg4AAAAAAECBiTkAAAAAAAAFJuYAAAAAAAAUmJgDAAAAAABQYGIOAAAAAABAgYk5AAAAAAAABSbmAAAAAAAAFJiYAwAAAAAAUGD/H/XqKs24qXvhAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 2000x1000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axs = plt.subplots(ncols=1, figsize=(20, 10))\n",
+    "sns.barplot(data=avg_monthly_views, x='year', y='value', hue='month', hue_order=['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']).set(xlabel=\"Years\", ylabel=\"Average Page Views\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "af6a3cc8-8955-4c96-8828-5379c8485741",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "df = pd.read_csv(\"fcc-forum-pageviews.csv\", parse_dates=True, index_col = 0)\n",
+    "df = df[(df['value'] >= df['value'].quantile(0.025)) & (df['value'] <= df['value'].quantile(0.975))]\n",
+    "df_box = df.copy()\n",
+    "df_box.reset_index(inplace=True)\n",
+    "df_box['year'] = [d.year for d in df_box.date]\n",
+    "df_box['month'] = [d.strftime('%b') for d in df_box.date]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "1120ca63-aaf1-4eec-a2e3-7cda91e62422",
+   "metadata": {
+    "tags": []
+   },
+   "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>date</th>\n",
+       "      <th>value</th>\n",
+       "      <th>year</th>\n",
+       "      <th>month</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2016-05-19</td>\n",
+       "      <td>19736</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>May</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2016-05-26</td>\n",
+       "      <td>18060</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>May</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2016-05-27</td>\n",
+       "      <td>19997</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>May</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2016-05-28</td>\n",
+       "      <td>19044</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>May</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2016-05-29</td>\n",
+       "      <td>20325</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>May</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1233</th>\n",
+       "      <td>2019-11-24</td>\n",
+       "      <td>138875</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>Nov</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1234</th>\n",
+       "      <td>2019-11-29</td>\n",
+       "      <td>171584</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>Nov</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1235</th>\n",
+       "      <td>2019-11-30</td>\n",
+       "      <td>141161</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>Nov</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1236</th>\n",
+       "      <td>2019-12-01</td>\n",
+       "      <td>142918</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>Dec</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1237</th>\n",
+       "      <td>2019-12-03</td>\n",
+       "      <td>158549</td>\n",
+       "      <td>2019</td>\n",
+       "      <td>Dec</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1238 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           date   value  year month\n",
+       "0    2016-05-19   19736  2016   May\n",
+       "1    2016-05-26   18060  2016   May\n",
+       "2    2016-05-27   19997  2016   May\n",
+       "3    2016-05-28   19044  2016   May\n",
+       "4    2016-05-29   20325  2016   May\n",
+       "...         ...     ...   ...   ...\n",
+       "1233 2019-11-24  138875  2019   Nov\n",
+       "1234 2019-11-29  171584  2019   Nov\n",
+       "1235 2019-11-30  141161  2019   Nov\n",
+       "1236 2019-12-01  142918  2019   Dec\n",
+       "1237 2019-12-03  158549  2019   Dec\n",
+       "\n",
+       "[1238 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_box"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "72c7a098-6b74-467f-86cc-4e9456598b56",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Text(0.5, 1.0, 'Month-wise Box Plot (Seasonality)'),\n",
+       " Text(0, 0.5, 'Page Views'),\n",
+       " Text(0.5, 0, 'Month')]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 2400x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fix, axs = plt.subplots(ncols=2, figsize=(24,10))\n",
+    "sns.boxplot(data=df_box, ax=axs[0], x=\"year\", y=\"value\").set( title=\"Year-wise Box Plot (Trend)\", ylabel=\"Page Views\", xlabel=\"Year\")\n",
+    "sns.boxplot(data=df_box, ax=axs[1], x=\"month\", y=\"value\", order=[\"Jan\", \"Feb\", \"Mar\", \"Apr\", \"May\", \"Jun\", \"Jul\", \"Aug\", \"Sep\", \"Oct\", \"Nov\", \"Dec\"]).set(title=\"Month-wise Box Plot (Seasonality)\",  ylabel=\"Page Views\", xlabel=\"Month\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8b3ed8de-ea6a-448f-995f-526bea05463b",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/time_series_visualizer.py b/time_series_visualizer.py
index 4ff8229..fa2ddef 100644
--- a/time_series_visualizer.py
+++ b/time_series_visualizer.py
@@ -1,53 +1,112 @@
+import calendar
+
 import matplotlib.pyplot as plt
 import pandas as pd
 import seaborn as sns
 from pandas.plotting import register_matplotlib_converters
+
 register_matplotlib_converters()
 
 # Import data (Make sure to parse dates. Consider setting index column to 'date'.)
-df = None
+df = pd.read_csv("fcc-forum-pageviews.csv")
 
 # Clean data
-df = None
+df = df[(
+    df['value'] >= df['value'].quantile(0.025))
+    & (df['value'] <= df['value'].quantile(0.975))]
 
 
 def draw_line_plot():
     # Draw line plot
-
-
-
-
+    fig, axs = plt.subplots(ncols=1, figsize=(20, 10))
+    sns.lineplot(df["value"], estimator=None).set(
+        xlabel="Date",
+        ylabel="Page Views",
+        xticklabels=df.index,
+        title='Daily freeCodeCamp Forum Page Views 5/2016-12/2019')
 
     # Save image and return fig (don't change this part)
     fig.savefig('line_plot.png')
     return fig
 
+
 def draw_bar_plot():
+    df = pd.read_csv(
+        "fcc-forum-pageviews.csv", parse_dates=True, index_col=[0])
+    df = df[
+        (df['value'] >= df['value'].quantile(0.025))
+        & (df['value'] <= df['value'].quantile(0.975))]
     # Copy and modify data for monthly bar plot
-    df_bar = None
+    df['year'] = df.index.year
+    df['month'] = df.index.month
 
     # Draw bar plot
-
-
-
-
+    df.groupby(['year', 'month']).mean()
+    df_bar = df.groupby([df.index.year, df.index.month]).mean()
+    df_bar['month'] = df_bar['month'].apply(
+        lambda x: calendar.month_name[int(x)])
+    df_bar = df_bar.astype({'year': 'int'})
+    fig, axs = plt.subplots(ncols=1, figsize=(20, 10))
+    sns.barplot(
+        data=df_bar,
+        x='year',
+        y='value',
+        hue='month',
+        hue_order=[
+                 'January',
+                 'February',
+                 'March',
+                 'April',
+                 'May',
+                 'June',
+                 'July',
+                 'August',
+                 'September',
+                 'October',
+                 'November',
+                 'December']).set(
+        xlabel='Years', ylabel='Average Page Views')
 
     # Save image and return fig (don't change this part)
     fig.savefig('bar_plot.png')
     return fig
 
+
 def draw_box_plot():
     # Prepare data for box plots (this part is done!)
+    df = pd.read_csv("fcc-forum-pageviews.csv", parse_dates=True, index_col=0)
+    df = df[(df['value'] >= df['value'].quantile(0.025))
+            & (df['value'] <= df['value'].quantile(0.975))]
     df_box = df.copy()
     df_box.reset_index(inplace=True)
     df_box['year'] = [d.year for d in df_box.date]
     df_box['month'] = [d.strftime('%b') for d in df_box.date]
 
     # Draw box plots (using Seaborn)
-
-
-
-
+    fig, axs = plt.subplots(ncols=2, figsize=(24, 10))
+    sns.boxplot(data=df_box, ax=axs[0], x="year", y="value").set(
+        title="Year-wise Box Plot (Trend)", ylabel="Page Views", xlabel="Year")
+    sns.boxplot(
+        data=df_box,
+        ax=axs[1],
+        x="month",
+        y="value",
+        order=[
+            "Jan",
+            "Feb",
+            "Mar",
+            "Apr",
+            "May",
+            "Jun",
+            "Jul",
+            "Aug",
+            "Sep",
+            "Oct",
+            "Nov",
+            "Dec"]).set(
+        title="Month-wise Box Plot (Seasonality)",
+        ylabel="Page Views",
+        xlabel="Month")
 
     # Save image and return fig (don't change this part)
     fig.savefig('box_plot.png')