diff --git a/module3/exo2/exercice.ipynb b/module3/exo2/exercice.ipynb
index 0bbbe371b01e359e381e43239412d77bf53fb1fb..a20994803ef479ebdf2df7d6b22a2bf289bd77a3 100644
--- a/module3/exo2/exercice.ipynb
+++ b/module3/exo2/exercice.ipynb
@@ -1,5 +1,1289 @@
 {
- "cells": [],
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import isoweek\n",
+    "\n",
+    "data_file = \"syndrome_varicelle.csv\"\n",
+    "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-7.csv\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Charger le fichier qu'une fois en local"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import urllib.request\n",
+    "if not os.path.exists(data_file):\n",
+    "    urllib.request.urlretrieve(data_url, data_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "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>week</th>\n",
+       "      <th>indicator</th>\n",
+       "      <th>inc</th>\n",
+       "      <th>inc_low</th>\n",
+       "      <th>inc_up</th>\n",
+       "      <th>inc100</th>\n",
+       "      <th>inc100_low</th>\n",
+       "      <th>inc100_up</th>\n",
+       "      <th>geo_insee</th>\n",
+       "      <th>geo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>202112</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11653</td>\n",
+       "      <td>8508</td>\n",
+       "      <td>14798</td>\n",
+       "      <td>18</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>202111</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9386</td>\n",
+       "      <td>6678</td>\n",
+       "      <td>12094</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>202110</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9056</td>\n",
+       "      <td>6452</td>\n",
+       "      <td>11660</td>\n",
+       "      <td>14</td>\n",
+       "      <td>10</td>\n",
+       "      <td>18</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>202109</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10988</td>\n",
+       "      <td>7938</td>\n",
+       "      <td>14038</td>\n",
+       "      <td>17</td>\n",
+       "      <td>12</td>\n",
+       "      <td>22</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>202108</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11281</td>\n",
+       "      <td>8361</td>\n",
+       "      <td>14201</td>\n",
+       "      <td>17</td>\n",
+       "      <td>13</td>\n",
+       "      <td>21</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>202107</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13561</td>\n",
+       "      <td>10315</td>\n",
+       "      <td>16807</td>\n",
+       "      <td>21</td>\n",
+       "      <td>16</td>\n",
+       "      <td>26</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>202106</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13401</td>\n",
+       "      <td>9810</td>\n",
+       "      <td>16992</td>\n",
+       "      <td>20</td>\n",
+       "      <td>15</td>\n",
+       "      <td>25</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>202105</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12210</td>\n",
+       "      <td>8988</td>\n",
+       "      <td>15432</td>\n",
+       "      <td>18</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>202104</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12026</td>\n",
+       "      <td>8826</td>\n",
+       "      <td>15226</td>\n",
+       "      <td>18</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>202103</td>\n",
+       "      <td>7</td>\n",
+       "      <td>8913</td>\n",
+       "      <td>6375</td>\n",
+       "      <td>11451</td>\n",
+       "      <td>13</td>\n",
+       "      <td>9</td>\n",
+       "      <td>17</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>202102</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7795</td>\n",
+       "      <td>5430</td>\n",
+       "      <td>10160</td>\n",
+       "      <td>12</td>\n",
+       "      <td>8</td>\n",
+       "      <td>16</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>202101</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10525</td>\n",
+       "      <td>7750</td>\n",
+       "      <td>13300</td>\n",
+       "      <td>16</td>\n",
+       "      <td>12</td>\n",
+       "      <td>20</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>202053</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11978</td>\n",
+       "      <td>8406</td>\n",
+       "      <td>15550</td>\n",
+       "      <td>18</td>\n",
+       "      <td>13</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>202052</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12012</td>\n",
+       "      <td>8285</td>\n",
+       "      <td>15739</td>\n",
+       "      <td>18</td>\n",
+       "      <td>12</td>\n",
+       "      <td>24</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>202051</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10564</td>\n",
+       "      <td>7574</td>\n",
+       "      <td>13554</td>\n",
+       "      <td>16</td>\n",
+       "      <td>11</td>\n",
+       "      <td>21</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>202050</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7063</td>\n",
+       "      <td>4744</td>\n",
+       "      <td>9382</td>\n",
+       "      <td>11</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>202049</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5026</td>\n",
+       "      <td>3145</td>\n",
+       "      <td>6907</td>\n",
+       "      <td>8</td>\n",
+       "      <td>5</td>\n",
+       "      <td>11</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>202048</td>\n",
+       "      <td>7</td>\n",
+       "      <td>6683</td>\n",
+       "      <td>4312</td>\n",
+       "      <td>9054</td>\n",
+       "      <td>10</td>\n",
+       "      <td>6</td>\n",
+       "      <td>14</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>202047</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4999</td>\n",
+       "      <td>2963</td>\n",
+       "      <td>7035</td>\n",
+       "      <td>8</td>\n",
+       "      <td>5</td>\n",
+       "      <td>11</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>202046</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3752</td>\n",
+       "      <td>1963</td>\n",
+       "      <td>5541</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>202045</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3696</td>\n",
+       "      <td>2016</td>\n",
+       "      <td>5376</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>202044</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4391</td>\n",
+       "      <td>2375</td>\n",
+       "      <td>6407</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>202043</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4376</td>\n",
+       "      <td>2505</td>\n",
+       "      <td>6247</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>202042</td>\n",
+       "      <td>7</td>\n",
+       "      <td>4000</td>\n",
+       "      <td>1979</td>\n",
+       "      <td>6021</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>202041</td>\n",
+       "      <td>7</td>\n",
+       "      <td>3961</td>\n",
+       "      <td>2099</td>\n",
+       "      <td>5823</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>9</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>202040</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2078</td>\n",
+       "      <td>675</td>\n",
+       "      <td>3481</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>202039</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1049</td>\n",
+       "      <td>237</td>\n",
+       "      <td>1861</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>202038</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2251</td>\n",
+       "      <td>781</td>\n",
+       "      <td>3721</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>202037</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1584</td>\n",
+       "      <td>405</td>\n",
+       "      <td>2763</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>202036</td>\n",
+       "      <td>7</td>\n",
+       "      <td>919</td>\n",
+       "      <td>100</td>\n",
+       "      <td>1738</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1552</th>\n",
+       "      <td>199126</td>\n",
+       "      <td>7</td>\n",
+       "      <td>17608</td>\n",
+       "      <td>11304</td>\n",
+       "      <td>23912</td>\n",
+       "      <td>31</td>\n",
+       "      <td>20</td>\n",
+       "      <td>42</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1553</th>\n",
+       "      <td>199125</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16169</td>\n",
+       "      <td>10700</td>\n",
+       "      <td>21638</td>\n",
+       "      <td>28</td>\n",
+       "      <td>18</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1554</th>\n",
+       "      <td>199124</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16171</td>\n",
+       "      <td>10071</td>\n",
+       "      <td>22271</td>\n",
+       "      <td>28</td>\n",
+       "      <td>17</td>\n",
+       "      <td>39</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1555</th>\n",
+       "      <td>199123</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11947</td>\n",
+       "      <td>7671</td>\n",
+       "      <td>16223</td>\n",
+       "      <td>21</td>\n",
+       "      <td>13</td>\n",
+       "      <td>29</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1556</th>\n",
+       "      <td>199122</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15452</td>\n",
+       "      <td>9953</td>\n",
+       "      <td>20951</td>\n",
+       "      <td>27</td>\n",
+       "      <td>17</td>\n",
+       "      <td>37</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1557</th>\n",
+       "      <td>199121</td>\n",
+       "      <td>7</td>\n",
+       "      <td>14903</td>\n",
+       "      <td>8975</td>\n",
+       "      <td>20831</td>\n",
+       "      <td>26</td>\n",
+       "      <td>16</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1558</th>\n",
+       "      <td>199120</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19053</td>\n",
+       "      <td>12742</td>\n",
+       "      <td>25364</td>\n",
+       "      <td>34</td>\n",
+       "      <td>23</td>\n",
+       "      <td>45</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1559</th>\n",
+       "      <td>199119</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16739</td>\n",
+       "      <td>11246</td>\n",
+       "      <td>22232</td>\n",
+       "      <td>29</td>\n",
+       "      <td>19</td>\n",
+       "      <td>39</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1560</th>\n",
+       "      <td>199118</td>\n",
+       "      <td>7</td>\n",
+       "      <td>21385</td>\n",
+       "      <td>13882</td>\n",
+       "      <td>28888</td>\n",
+       "      <td>38</td>\n",
+       "      <td>25</td>\n",
+       "      <td>51</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1561</th>\n",
+       "      <td>199117</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13462</td>\n",
+       "      <td>8877</td>\n",
+       "      <td>18047</td>\n",
+       "      <td>24</td>\n",
+       "      <td>16</td>\n",
+       "      <td>32</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1562</th>\n",
+       "      <td>199116</td>\n",
+       "      <td>7</td>\n",
+       "      <td>14857</td>\n",
+       "      <td>10068</td>\n",
+       "      <td>19646</td>\n",
+       "      <td>26</td>\n",
+       "      <td>18</td>\n",
+       "      <td>34</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1563</th>\n",
+       "      <td>199115</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13975</td>\n",
+       "      <td>9781</td>\n",
+       "      <td>18169</td>\n",
+       "      <td>25</td>\n",
+       "      <td>18</td>\n",
+       "      <td>32</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1564</th>\n",
+       "      <td>199114</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12265</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>16846</td>\n",
+       "      <td>22</td>\n",
+       "      <td>14</td>\n",
+       "      <td>30</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1565</th>\n",
+       "      <td>199113</td>\n",
+       "      <td>7</td>\n",
+       "      <td>9567</td>\n",
+       "      <td>6041</td>\n",
+       "      <td>13093</td>\n",
+       "      <td>17</td>\n",
+       "      <td>11</td>\n",
+       "      <td>23</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1566</th>\n",
+       "      <td>199112</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10864</td>\n",
+       "      <td>7331</td>\n",
+       "      <td>14397</td>\n",
+       "      <td>19</td>\n",
+       "      <td>13</td>\n",
+       "      <td>25</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1567</th>\n",
+       "      <td>199111</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15574</td>\n",
+       "      <td>11184</td>\n",
+       "      <td>19964</td>\n",
+       "      <td>27</td>\n",
+       "      <td>19</td>\n",
+       "      <td>35</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1568</th>\n",
+       "      <td>199110</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16643</td>\n",
+       "      <td>11372</td>\n",
+       "      <td>21914</td>\n",
+       "      <td>29</td>\n",
+       "      <td>20</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1569</th>\n",
+       "      <td>199109</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13741</td>\n",
+       "      <td>8780</td>\n",
+       "      <td>18702</td>\n",
+       "      <td>24</td>\n",
+       "      <td>15</td>\n",
+       "      <td>33</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1570</th>\n",
+       "      <td>199108</td>\n",
+       "      <td>7</td>\n",
+       "      <td>13289</td>\n",
+       "      <td>8813</td>\n",
+       "      <td>17765</td>\n",
+       "      <td>23</td>\n",
+       "      <td>15</td>\n",
+       "      <td>31</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1571</th>\n",
+       "      <td>199107</td>\n",
+       "      <td>7</td>\n",
+       "      <td>12337</td>\n",
+       "      <td>8077</td>\n",
+       "      <td>16597</td>\n",
+       "      <td>22</td>\n",
+       "      <td>15</td>\n",
+       "      <td>29</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1572</th>\n",
+       "      <td>199106</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10877</td>\n",
+       "      <td>7013</td>\n",
+       "      <td>14741</td>\n",
+       "      <td>19</td>\n",
+       "      <td>12</td>\n",
+       "      <td>26</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1573</th>\n",
+       "      <td>199105</td>\n",
+       "      <td>7</td>\n",
+       "      <td>10442</td>\n",
+       "      <td>6544</td>\n",
+       "      <td>14340</td>\n",
+       "      <td>18</td>\n",
+       "      <td>11</td>\n",
+       "      <td>25</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1574</th>\n",
+       "      <td>199104</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7913</td>\n",
+       "      <td>4563</td>\n",
+       "      <td>11263</td>\n",
+       "      <td>14</td>\n",
+       "      <td>8</td>\n",
+       "      <td>20</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1575</th>\n",
+       "      <td>199103</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15387</td>\n",
+       "      <td>10484</td>\n",
+       "      <td>20290</td>\n",
+       "      <td>27</td>\n",
+       "      <td>18</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1576</th>\n",
+       "      <td>199102</td>\n",
+       "      <td>7</td>\n",
+       "      <td>16277</td>\n",
+       "      <td>11046</td>\n",
+       "      <td>21508</td>\n",
+       "      <td>29</td>\n",
+       "      <td>20</td>\n",
+       "      <td>38</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1577</th>\n",
+       "      <td>199101</td>\n",
+       "      <td>7</td>\n",
+       "      <td>15565</td>\n",
+       "      <td>10271</td>\n",
+       "      <td>20859</td>\n",
+       "      <td>27</td>\n",
+       "      <td>18</td>\n",
+       "      <td>36</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1578</th>\n",
+       "      <td>199052</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19375</td>\n",
+       "      <td>13295</td>\n",
+       "      <td>25455</td>\n",
+       "      <td>34</td>\n",
+       "      <td>23</td>\n",
+       "      <td>45</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1579</th>\n",
+       "      <td>199051</td>\n",
+       "      <td>7</td>\n",
+       "      <td>19080</td>\n",
+       "      <td>13807</td>\n",
+       "      <td>24353</td>\n",
+       "      <td>34</td>\n",
+       "      <td>25</td>\n",
+       "      <td>43</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1580</th>\n",
+       "      <td>199050</td>\n",
+       "      <td>7</td>\n",
+       "      <td>11079</td>\n",
+       "      <td>6660</td>\n",
+       "      <td>15498</td>\n",
+       "      <td>20</td>\n",
+       "      <td>12</td>\n",
+       "      <td>28</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1581</th>\n",
+       "      <td>199049</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1143</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2610</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>FR</td>\n",
+       "      <td>France</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1582 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        week  indicator    inc  inc_low  inc_up  inc100  inc100_low  \\\n",
+       "0     202112          7  11653     8508   14798      18          13   \n",
+       "1     202111          7   9386     6678   12094      14          10   \n",
+       "2     202110          7   9056     6452   11660      14          10   \n",
+       "3     202109          7  10988     7938   14038      17          12   \n",
+       "4     202108          7  11281     8361   14201      17          13   \n",
+       "5     202107          7  13561    10315   16807      21          16   \n",
+       "6     202106          7  13401     9810   16992      20          15   \n",
+       "7     202105          7  12210     8988   15432      18          13   \n",
+       "8     202104          7  12026     8826   15226      18          13   \n",
+       "9     202103          7   8913     6375   11451      13           9   \n",
+       "10    202102          7   7795     5430   10160      12           8   \n",
+       "11    202101          7  10525     7750   13300      16          12   \n",
+       "12    202053          7  11978     8406   15550      18          13   \n",
+       "13    202052          7  12012     8285   15739      18          12   \n",
+       "14    202051          7  10564     7574   13554      16          11   \n",
+       "15    202050          7   7063     4744    9382      11           7   \n",
+       "16    202049          7   5026     3145    6907       8           5   \n",
+       "17    202048          7   6683     4312    9054      10           6   \n",
+       "18    202047          7   4999     2963    7035       8           5   \n",
+       "19    202046          7   3752     1963    5541       6           3   \n",
+       "20    202045          7   3696     2016    5376       6           3   \n",
+       "21    202044          7   4391     2375    6407       7           4   \n",
+       "22    202043          7   4376     2505    6247       7           4   \n",
+       "23    202042          7   4000     1979    6021       6           3   \n",
+       "24    202041          7   3961     2099    5823       6           3   \n",
+       "25    202040          7   2078      675    3481       3           1   \n",
+       "26    202039          7   1049      237    1861       2           1   \n",
+       "27    202038          7   2251      781    3721       3           1   \n",
+       "28    202037          7   1584      405    2763       2           0   \n",
+       "29    202036          7    919      100    1738       1           0   \n",
+       "...      ...        ...    ...      ...     ...     ...         ...   \n",
+       "1552  199126          7  17608    11304   23912      31          20   \n",
+       "1553  199125          7  16169    10700   21638      28          18   \n",
+       "1554  199124          7  16171    10071   22271      28          17   \n",
+       "1555  199123          7  11947     7671   16223      21          13   \n",
+       "1556  199122          7  15452     9953   20951      27          17   \n",
+       "1557  199121          7  14903     8975   20831      26          16   \n",
+       "1558  199120          7  19053    12742   25364      34          23   \n",
+       "1559  199119          7  16739    11246   22232      29          19   \n",
+       "1560  199118          7  21385    13882   28888      38          25   \n",
+       "1561  199117          7  13462     8877   18047      24          16   \n",
+       "1562  199116          7  14857    10068   19646      26          18   \n",
+       "1563  199115          7  13975     9781   18169      25          18   \n",
+       "1564  199114          7  12265     7684   16846      22          14   \n",
+       "1565  199113          7   9567     6041   13093      17          11   \n",
+       "1566  199112          7  10864     7331   14397      19          13   \n",
+       "1567  199111          7  15574    11184   19964      27          19   \n",
+       "1568  199110          7  16643    11372   21914      29          20   \n",
+       "1569  199109          7  13741     8780   18702      24          15   \n",
+       "1570  199108          7  13289     8813   17765      23          15   \n",
+       "1571  199107          7  12337     8077   16597      22          15   \n",
+       "1572  199106          7  10877     7013   14741      19          12   \n",
+       "1573  199105          7  10442     6544   14340      18          11   \n",
+       "1574  199104          7   7913     4563   11263      14           8   \n",
+       "1575  199103          7  15387    10484   20290      27          18   \n",
+       "1576  199102          7  16277    11046   21508      29          20   \n",
+       "1577  199101          7  15565    10271   20859      27          18   \n",
+       "1578  199052          7  19375    13295   25455      34          23   \n",
+       "1579  199051          7  19080    13807   24353      34          25   \n",
+       "1580  199050          7  11079     6660   15498      20          12   \n",
+       "1581  199049          7   1143        0    2610       2           0   \n",
+       "\n",
+       "      inc100_up geo_insee geo_name  \n",
+       "0            23        FR   France  \n",
+       "1            18        FR   France  \n",
+       "2            18        FR   France  \n",
+       "3            22        FR   France  \n",
+       "4            21        FR   France  \n",
+       "5            26        FR   France  \n",
+       "6            25        FR   France  \n",
+       "7            23        FR   France  \n",
+       "8            23        FR   France  \n",
+       "9            17        FR   France  \n",
+       "10           16        FR   France  \n",
+       "11           20        FR   France  \n",
+       "12           23        FR   France  \n",
+       "13           24        FR   France  \n",
+       "14           21        FR   France  \n",
+       "15           15        FR   France  \n",
+       "16           11        FR   France  \n",
+       "17           14        FR   France  \n",
+       "18           11        FR   France  \n",
+       "19            9        FR   France  \n",
+       "20            9        FR   France  \n",
+       "21           10        FR   France  \n",
+       "22           10        FR   France  \n",
+       "23            9        FR   France  \n",
+       "24            9        FR   France  \n",
+       "25            5        FR   France  \n",
+       "26            3        FR   France  \n",
+       "27            5        FR   France  \n",
+       "28            4        FR   France  \n",
+       "29            2        FR   France  \n",
+       "...         ...       ...      ...  \n",
+       "1552         42        FR   France  \n",
+       "1553         38        FR   France  \n",
+       "1554         39        FR   France  \n",
+       "1555         29        FR   France  \n",
+       "1556         37        FR   France  \n",
+       "1557         36        FR   France  \n",
+       "1558         45        FR   France  \n",
+       "1559         39        FR   France  \n",
+       "1560         51        FR   France  \n",
+       "1561         32        FR   France  \n",
+       "1562         34        FR   France  \n",
+       "1563         32        FR   France  \n",
+       "1564         30        FR   France  \n",
+       "1565         23        FR   France  \n",
+       "1566         25        FR   France  \n",
+       "1567         35        FR   France  \n",
+       "1568         38        FR   France  \n",
+       "1569         33        FR   France  \n",
+       "1570         31        FR   France  \n",
+       "1571         29        FR   France  \n",
+       "1572         26        FR   France  \n",
+       "1573         25        FR   France  \n",
+       "1574         20        FR   France  \n",
+       "1575         36        FR   France  \n",
+       "1576         38        FR   France  \n",
+       "1577         36        FR   France  \n",
+       "1578         45        FR   France  \n",
+       "1579         43        FR   France  \n",
+       "1580         28        FR   France  \n",
+       "1581          5        FR   France  \n",
+       "\n",
+       "[1582 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "raw_data = pd.read_csv(data_file, skiprows=1)\n",
+    "raw_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sum(raw_data.isnull().any(axis=1))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = raw_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert_week(year_and_week_int):\n",
+    "    year_and_week_str = str(year_and_week_int)\n",
+    "    year = int(year_and_week_str[:4])\n",
+    "    week = int(year_and_week_str[4:])\n",
+    "    w = isoweek.Week(year, week)\n",
+    "    return pd.Period(w.day(0), 'W')\n",
+    "\n",
+    "data['period'] = [convert_week(yw) for yw in data['week']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sorted_data = data.set_index('period').sort_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "periods = sorted_data.index\n",
+    "for p1, p2 in zip(periods[:-1], periods[1:]):\n",
+    "    delta = p2.to_timestamp() - p1.end_time\n",
+    "    if delta > pd.Timedelta('1s'):\n",
+    "        print(p1, p2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc646e39a20>"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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VzY/7ixZuf2l15P1X7+zFFfe9jW/9fkGGpWpO1u3qwx0vr0nlXFOnz8R/Pr3c05ju7SuFakfLKfqSRB1XB0vONUmoJbJEjDEk1BKtCvWgByBizhw0P26tTm7IzY9pkCAS4qeHamgxMmWwZKMjb8I0/KHnuplLvclWo7uhZusH+wuO4LVhT3/DytCoKrn012/guieWpaalvmXWKpiuqvaqB+bh07e8qt0vrbHjxeU78NSSbQBqWwAMCE1tvjLNFUGkhZintJoSgyAEJNQegPjmxyXPHKvVfCyGPFBUi9UfMfT4PrXx2tLLK3biaXfynBSWcVKfvkIZI9pNmNLIc8cra1Fwg/Ok/RYt3tyNLfsGQn9ftaMHb67d431v1ve4kcXy2uMQF2LfQBFA8jRT8vskmwGv2N4b2E+MhWlFzv/b/37Lu0atRU+hNW4zaUpGZIdohq2WwpEgBLlGF4AYeiybg3OO/YNljOtqw+6+YstF7x2KlD7yuNCkc2FiGCHewbht6bLfvAkAWHf9hamVJav23Fcso6stF5o2JW2f1k/90tHGhdXNeTe+rFw/1csnhnkpaBpXBt/Xu/K32at3Y+66Pfj6ucelfl1Pq5Tw5uXDzSoSsmkw2BbPxHXFEyYsG2Wbo0PRyPqaWhJqiew4EFxciAMb6kEPQGwOFMo2LJtjRHvO3dZandzQmB/7dUbmxwQA3PHyGizdsr+uY+0DYMLRX7QcTa0iXZQ9AWboyqIToFu57uulWrv8/B1v4GfPrsjkulZKbUI+vFoUYvFbmj61AlF3X777LZzwvacqfvcDRZH5MZEdXvRjmq8QLQppag9AOOdep9bmBqZotU5uKIRauc5oMkwAwHVPLANQn9aUV9GItQp9hTImjOiCqQgX3rs0hPe+pXuwYlsr1329VNPUDsl1E17YDjE/VhH+tsUEeWrDhgFxD6+s3FXx29TpMzGizRFmKVAUkSXCCEE1Px4sWbh11ir8458dW2FFQBDDCepBD0Bs7vvQ5l0fnlaRycScpVjO/obkOmuV+iMaRzMsjGRt7tpXLGNEe87LFyoQQu1QRj/e01us2NasAVQaWSo/iFdjSpH0vZCPr+ayanqa2hRS+iiyc62YFX1F16eWhFoiQzyrC6WN/+a1tbj5hVW4+/V1DSgVQaQH9aAHIDbnsNwluzbXDLBVAkXljOxMyFTkGmuV+iPqJ+mkvymE2ozP31dwzY9DNLVZVYHOEmWwXJnSpRmegUwz5IiVTRYfmrsRBU29ZUnSvlU+vJr5sTCJV3MnJ70mEL5YovYZpKklssRL6aO0OzEf7JEyYhDEcKRmD8oYO5wxNosxtowxtoQx9s/u9qsZY5sZY/Pd/5+Ujvk2Y2wVY2w5Y+x8afsZjLFF7m83M9cWiDHWzhh70N0+hzE2Nf1bJQQ25xWa2lYxPxYmZBT9mBhqkr5CLfIKVqWvUMaItpz3ngq+9sA8PLFoa6rvkSww7O2v1MoOFHVCbWqXbxlEnTy7bDu+9fuFuFHjQ5u2hlsWLJM2iahCrfgtiyCDavXM27AXv3x+ZcX2nNEEqxgpsWzr/tBcwERjEGv96nxPWAgkMb0niGYgyrJgGcC/cs7fC+AcAFcxxk50f7uJcz7N/f8EALi/XQrgJAAXALiVMSaM9G8DcAWA49z/F7jbLwewl3N+LICbANyQ/NaIMGzb79R88+PWmM3lDNE5D0X0Y0mopdnwAU/yKK3N04ayMAMuWzYKZRtdGqF2zto9+Mf756V6VVk42dNXKdTqJtxZLk4leb6NbBuiTvrcnLlb9lX6IqedIuTf/7DY+5x0wVV+pqrZu4yo4ywWRFXN2GdufR0/e3ZFhUWR+l4MV3b3FvCJX7yCbz+yqNFFISQsyepChoRaolWoKdRyzrdyzue5n3sALAMwucohFwH4Hee8wDlfC2AVgLMYY4cCGM05n82d0eNeABdLx9zjfv49gHNZtYgORCJsXaCoJppQJyFnDp35sTwukExLJPf9S6kgTYrwG3Ty1Oq79zS7oaIknOjM6gY0Qm2WwmM9zzfrvMFREFUiTGMLmnpL29Ln4XmbvM9p+tRWkxnTzOGpzl7C2pWqFW6RYRj97rsu54BOi2eXbsfnbp9NC8l14Kf0CbZJT6gdAgs3gsiSWA4crlnw6QDmuJu+xhhbyBj7DWNsnLttMoCN0mGb3G2T3c/q9sAxnPMygG4AE+KUjYiOLNQKTW2r5KnNDaH5MSfzY0Ii6TvUDG0oy0BRwty3s80MNQNNqiF+YtFWbNzTDwAoSVqH/Zq8uHpNbaLLV6We5zuUgbPCEOUWC4YFjTYn7UVEuX0kf6/8z6ovd3C/DDW1IQ2rvxhsl83QB6SB34+kfz9fuXcu3ly3hwSwOpCbodwm29x5oO7dJojhRGShljE2EsDDAL7BOd8Px5T4GADTAGwF8DOxq+ZwXmV7tWPUMlzBGJvLGJu7c+fOqEUnFDiHpKl1qr5VBlMhpA8Uh1ZT2yo+ycOF37+9Cat39ja6GAHS1Ci1Ip4fv2GE+g4mrYJ/vH8ePvXLVwEEhZP9A5Wa2sFSZR+R5TOoS6htgibhCbVVUt6UU/ZDlWXPNM36qxmAid3KFkfJsnH1jCXY0VNpal3jatqtYcPDz54O+ic3weNOBVHPzbZIdKAj15lsnSfmTWR+TAx3Igm1jLE8HIH2fs75IwDAOd/OObc45zaAOwCc5e6+CcDh0uFTAGxxt0/RbA8cwxjLARgDoMJuhXP+a875mZzzMydNmhTtDokKbM49E6tWCxQ1uiMPAOjWTGLTRp4s0fg6dNg2x7/97wJ85tbXG12UAMkn3ykVpEkR5oKMhfs2plEH3QMlFMoW3tm4z9u2s6eAO19ZE+jnhPmxERCgkl8/jCT31si2Iepk9c4+ANBGP07bp1Y2T083+nH4fqJtlCwbLy3fibtfX4cfPLok0bUFYaayD87dGNyvRfoA38w1uxsSz6u7v4S7X1vbVDEJmhW5/5M/i+dEQi0x3IkS/ZgBuAvAMs75jdL2Q6Xd/gKAiOwwA8ClbkTjo+AEhHqTc74VQA9j7Bz3nJcBeFQ65kvu50sAvMCph8oMm/udmDA7aZVVz468cz/7NNFO00Ze9W+V+htK1u/uw2dufQ33vbE+1nFiwUIXvbaRJI9+3Pg2lKUPp7g/02ChZqBpmdv+5KnluPK+t73v185chmtnLsOTi7d624T5cV5KXprlsFPPqZuhTah1MtTmx2mmyqoWiMk3P/azA8SPhKw/f9Tn2CrTHtEcshTShVD29d+9g6sfW4oV25vLcqcZeGTeJnzm1te873Lz0gm4ZNJNDHdyEfb5AIAvAljEGJvvbvsOgM8zxqbBsZhZB+BKAOCcL2GMPQRgKZzIyVdxzsXs86sA7gbQCeBJ9z/gCM33McZWwdHQXprstoY3nHM8tXgbzn3vwZkkY7ds7pmL5XOtJdSKu9jXP7T51lol0NZQMn/jPszbsA+9hTK+eM6RkY/b7UayHdOVz6podZE0cEkzNaEsiiImTgZjoe9LWnWwfndf1TIA+kBRWVqs1NPHNoPmTpVXtUJthubHSefZch1GMj+WbjitcJVRq6eZ+oAkWEOoqZ2/YS8AIG82Pqhas/HNhxYAcMYmw2BKxgZ/P0+oJU0tMcypKdRyzl+FfvnxiSrHXAfgOs32uQBO1mwfBPDZWmU5UHh7/V589f55uOx9R+KHF1VUV2I45xWa2lZZoBP3tW8gW00tl4JtOd8zvVxLIibCcSfEIufo2M4mE2ob7FMrJi6JyHBeKF4Xw2CBPKQC02CpCdNTxnVpt7fnTO9zwfWpDeabTqkAGuoTahvfsahl0E18014MMFK0ggn61IbvJ65TtniC/jzMpzbaCZvheaeBaA+ZCrXuuUUQuKzrbldvASXLxqFjOjO9ThYMli10teUCdSQv3viWCS0yESQOWNJXAxKJEavJL63IJhiWzSH51LZWoChxG3sz1tSqkzhKLxAfMajGbXsi5+jYmJraxxduqYg2miZJm0DSV7DZrQXEczaY3qzTNFii90gWXg4d06Hdp12yfBHm68HUXFlqauMfI+6pkVGQ1XILn1oeMkFOg4BPbVILCPmz5lT7B0v44WNLvTGxZNneNetd41HN+KO261YZh8V9ZDkuqk0ubb9ulTOvfQ7v+/ELmV4jK7y+TtbOykGjSFNLtAgk1DYhYkBYv7s/s/Pv7i0AkFP6tMpg6vztzlioVQfQZhcompGyt5of7zgh1I7pbIt8zIKN+/C1B97B91MK/KKj0ZraNE1As2jOnk8tY1qNQLV0K1GQyywLRZ15Xzsr17EwPw5aXGTpUzs8zY/Vcm/fX8CqHT2BPjBtgUI2OEj6SORnrnsGv3x+JX7z2lrve8mytemekhBVMG+G550Goi9K+3WSn5865rZKsMss6PcW8KR3VhovRN1RSh9iuENCbRNSqqNjmblwK6ZOn+nlaKxGz2AZl98zF4Ak1LbIeCAGvazNj9VJXKvU31BSr4maMD8e3RklJIBDb8HR0G7eOxDrWnFILtQmu34q2rIM27Gn/QoRanMGSzQJDpoR+59PmTzG+yxfVxfFN1vz4zqOaYKORdeuH3xrY2ACnL5PbXrRj+UqVE/VWyhj/0DQeqNsc2/BI+46S1hRIz/Gxj/uVPA0tSlLtYE0ehYJtVER7Vl+HnJfKOqO6pAY7pBQ24TUE4Huj/M3AwCWbt1fc185MrAIRNUqmkbZ/DhLrYvwCfz+p06EwVonauVQUqpzNd8LcmbE777SCvwiWLm9B48tcDKTNTr6cRoTkizNH8WpTYNpNXumyRKZ2cpHyqc/WRJqixrthEy29z88NbW6Mhw9aSQKkjYzS01tGr7mYec6+QdPV6TVyUJTe+D61GZzXoA0tVEQuaV1rhaBRakh8IEmiKGAhNomJGu/BnkC0jaMzY8tm+OxBVu0k5Zi2cZgKbt6lH2SDcZoQI3B2T96Dj96YhmsOn1qm6muP3bTy/j6b98BkEb044TmxynUC/f+pl/HfvRjvTVKzjASTYLl6pPb1KlTJE1tuVI7IZOpD2Adp/Z8ahvY5HXvZ9myA37RVto+tXKgqBSjikc5VdnidacLC1s0azahlnOOh97aqLVWSIOsoh/L51Pf36EaF4bTArYIHKgzPy5q+sJhdGsEoYWE2iYkfm48H7lT6h4oafO1yp3ZcA4Udf+c9fj6b9/BQ9JKu3wXezPMVSu0haZhuKHyM7tUy7F9fwG/fnmN187jtr1awXP29hW9XLZDSaPNj9OY1GXZDYiJrmGwgMZU4JgfJ9HU+sfKpzn+4FHeZ9nkTrcIkOXEuJ5748rfRqArdqFsB+syQ/PjxAHYAu2i9smKlu2Za6Z1X83mU/vEom341sMLcfPzKzM5v52R5s/SLGALsg4UJRhOfqeeprbkR4gWc76CRqhtFYs94sCFhNompJ6w6roF4tOueQbTfvhsxXY5P6PIU9tM2q+obO0eBODnLQWcTlt05FnmqhX+izmDkflxndRroib2Dzvu9P94Fqdd80yCktVHo82P00jHMBTmt0ZYoKiEKX0CGrmQyW/JsvHKyp2YtXyHXgPZZJraZlhs1JWhULYzDRRV1Pj71Yt8eJRyFkq+UKvLZVwNUVXqglvUxzhUT3v/oDM27u7NZuE3K/PjapraLKwsdvcWKhQD9Wrxq/HQWxtx1f3zUj+v6Zkfu1ZRNtDhpjVzrNksFMoW+dQSLQMJtU1IPT61Phzd/SV888H5oXvcO3u993m4BYpavq0Hl9z2OnoLZa8DzgVCZQLjRjhRcbMMFuVdm8yP66Zc50CaxLQtU02kdB8PzNkQ+/im0NQmPkMlq3b0Yt6GvV4ubJPp89TmzGSBonRmppe970i899DReOVbfwbA8an94l1v4sv//Za2vrIVauOfWxSnkYtmunL/9OnleGTeJu972vVWKFl476GjASS/97DgOGEMli3Pp7Ze31q1yFHfzVZZHE3SR/cWyqGWNoGUNEqdZvHunnHtcxWKgb4M0sJ96+GFmLloa+qCuemZH/ua2nY3GnzRsnHC957CJ37xileXaVtcEMRQQ0JtE1KXplaS6259cRUeeWdz6L7LpGBSnk/tMBnGVu5+AAAgAElEQVRMv//oYsxdvxfvbNgrmQDLpmoc49z8pVlqakvStU1G5sf1IASbuO1dtNVmarKc88CE9Dt/WISt3fEiLTeFT62vakqFpxZvxXk3voTP3Pp6pDy1SS4sa8fEta759EkwDYaJI9sBBNuazg1UJ2ynRT131gz9cliz+v3bklCbUr3ZNsc/3v829g+W0ZlPJ4hhMJ9uRE1tUWhq67sv9V1uNp9aQVaXS+Kjec6Png+1tNHlVtX9FpWp02fixmeWxzqmPwNNrWCnm2oxLYRvuhz9uLPNea9EoLc1O/u8ukvD2ocgGgkJtU1IPSl9BJzHmzwJTe1w0TQKk+M20/DzXkpCLQcwtsvR1GbpVynqK28aYKw5Jp/DjXoTvtfjr5X187FsXjH5j7vqXc20LmoZkpKyTIt/+B/fpE48N8NgKGkkylxC33T5EXPOwZjvmyn8yEqBiJ+VZchUU1vHuZtBcxdWBkNaSU2r3vb2F/HEom0AgM42R6OU2KdWOj7KOzJYtjx/w3o1teplovY/aT7uff3F0PKnHAS+giR9kUi/Vuu8FdGP4/a37rlufmFVzX1lE+S+KuWrFzGH2bxvAJxzfPgnswKLRknPK0c/9syPNSb+yawECaLxkFDbhAgthhFj5GHuMMURbyI03AJFCe1Xf9EK+LUKbM7Rkfd9RrJCrGiaBnMDRQ2P+msmxEQ4vqbW+Rtn4uTnSI11qciUbV7p4xWzTcgyVj0r5mmYjmUpRInqMZjezNg0jGTmx8q1ZKHLNBgYU3Izaq6VbaCo+MekHFS4LsKqRH6X0qo3eVLdmXfyUCc1yYzjU5szGAol27ufeoMNcs4xfkQb/uw9k/DBYydq6/CsqeOrljUp0374LC65/fX0ThiDJxZtzeS8cv9k2zy2Fl4mjmZ3za4+73MWPrUTXJepzXsHULI4Nuzpx7/974LE5zU0mlrd/EjcE2lqieEOCbVNSFESmKIiTzB0fXXYZFUEihouQpkQ+PuKZc9Hz5A1tRxocwX1LLUuvqZWmB8Pj/prNIFJiCVS+tQnoMap8qwtERxNbUIzSelzPW1Xp3mMS5bVJCaRZsiokzMS5qmVJ7ycBxYFGWPIm0Yg6rJOWEoSeb4W9fnUum097cLEIGzskMectCbDssAwutMRapMHipItIKqXs7PNxGDZ8o7Z11+qK+2NzZ3rHjG+C4zp72GM6yYjk/ai0uLNtfPWp82anb14aG5yLaMO1fxYrtYsU8PJGu++DITake1OW9/TV0x1rBJjQlnKCd/hmvXLQu2GPf0Asu3/CGIoIKG2CRETBKMOtVKY+XFYfy98av/lwQWpJ5zPAjFR7S9Y3gQlpwi1vkl1lnlqxcKDAUY+tZEJ05rE0aqLiV+cSUzW6R7KNq94x+JHda4U+OOWISlZ1pLvU6vv10wjWaCo4AQ3mBYGcPq6Uo2ouln2GUkCRTVSqg1rVvJzTGsiLvsrju7Iu9cXE3KO3XX4HAbfq+rl7Myb4ByBHOf1RAi2OYdtczDGYIZY8phq+8wZLbE42lfIbh4RMD9WrGPi9n9x6jqY0zX9PkKUpWTZqSxOCoQZvXD3sGxfUyubeb+0Yqf3exrv8mDJwo+eWOYFqCKIoYKE2iZEdKBxxrdqmlrb5qGmNnlJbZKFWU3ayB2ybhDjnHv3lOWqo5gc5d2UPlmkE2hFApMQ6fnE8eWpJ7JmIzS1ca8pa2nqabvp+NTywN808XxqGcPnzzq84vdcUjN+6VCuaGoBJ7pyIFCU5lrZamrjH9MMPrVhzyRtn9ot+wYC/oqjOnKB6//mtXU449rnsFYyBY1CLZ/asZLGtMv145Uj3O7siS5Iez7p3PlvMCc6vlaoNYMNdHRHPpPATd0DJfziuZVDFjcjS8E8EP2YB/vcuGNwnN2LAV/8DPpG95QlKx2hUiDKXZZywne6c6iwQJppWF3cO3sdfv3yGvzqpTWJz9Vs7OgZRHeGQUiJZJBQ22AWberG8d99Etv3D3rbRKdSTzQ/7v6TKVp26EDTlvObwHBYJW53y9tfLHuDmDzI2Hxogl+Ja5qGsxI/XAJtNZqwlfU4A6k4LE6Vi2tl1cTLtl3xvsZdcZfvp3E+tYlPEYq4P9Ng+NFfnILnvvmRwO8drpasXuR+z7J5hUY4r2hqdZPTbN/jevrzxhP2TOTaTdr2dvcW8P7rX8APZizxtvlCrfP9hXe3AwA27e2PdW65/LpnfvkHjsIJh4wC4C+a9hcsL95EHKHWuya4ZwLvpHyrXKDIKasuYzpzmYzB1z+5DDc9twLPLNmmLWcUXl+1C+t3R1tMyHIeoZofJ9HUxjI/Lle38EiKOGfJslNbWOOce4vFwvLHMT922nhYIM00hFpxD4UM45o0irOuex5/et1zjS4GEQIJtQ3m7tfXoVi2PfMPwO8QLCUQQjUYgia4MoWSHToxyZvprrZnjfAz7ita2jynNufePWV5P+LcIk/tMKi6piA4KfEHvDjmx7YnoFavdHnlXgzq/SULO3oGww6pm7JV+a4miX5cj5CQhtlaEp/WWohnIKIS5xVNVdIgXnL1q4GiAMf8uFiurtnJNk9tPce4bT3lstRThgoCgaKStT1hdvzuth5v2yjX/NhS+nnVbLcWtaKKmybzxhWhqe0vlb00UPUEi3J8ap02bRpOX6VeW72PEe251BaV5L6o30tP5FtixX3XvnDnHHzkpy9G2jfLsTCgmeU8dDyJdK4YBZUtCLLI5SqEz5JlpyY0yy4xJdvX1ArFwL5QoTb59UX7EuNJ2bLxH48vxbbu9MfeRkBRopsXEmobjLD+lQehYsBELt75dINiQQp8odImmR8Ph8h3YtLZXyhLq5v+vXE4E+acwTL1j/P9eQ3kzGyv1Qo8MGcDVu/sDaRdKEmNO56mtnIxQ0dRo5VbsHEfzrru+cjXioo2pU8CczhdyptapCGQiVNkMS8Vq/ZCgFCFTptX+iXHQT5UDRQFOAt4wejHGqE2wz4wkU9tA9jXX8T3H10cmpezltY7CgNFC5ff/RZW7eit+E01PxavhBEnLQCUxSKpnEJozRuG1yZFGqH+guVN/usRMmzuWEwZjCFnGChalZYcaiDIUR251N47ucziOvK9Z2mRkeU8QhZELbvyexzE84gi4MtCbRaaWhHPpJiiT23AZFpY/9kcpsHQZhqZampF3y7a2Ztr9+CuV9fiO39YlPjcBFENEmobjHj5AxPaekxd3I65UK7sFAdLdujkSPapzWIFMm2EUNRbsKQVfP9+RX5K02CZ3o8QpIX5cSnD2WehbOHm51disGRhw+5+TJ0+E09rTMnSoLdQxobd8cz7asE5x3f+sAgX3fJacGVdej4LN3VHPp8Yc3VVLr8vK7f3Ys3O3ortWaBL6RNXQOIJNbVx8zTqy5D4FKGIiZvo89RJvW0nM12Uj+WcVwg/qvmxZfMKbXGW7aSeuWojfWpveWEV7p29HvM37tP+PlCUJ83xyzl79W5Mf2Qhnn93B74/Y3HF76OUQFG1Ao2FEQggptPUGr6mVqQR6i9anmtOPQI79zS1DO05A8VypQYuJ7W97174Xkwa2Z6a6a680Ftwg15195fQVyjjrXV7MGftnlSuo0M1Od2+fzC19HqqZjYYOCquu0f0upYXdupxC6uFqDNdO6mXoFAr3iGnTbblDHSHWCCk8axEyxb91wJ3fB8OihNieJNrdAEOdJgn1Oq1VlE7XtGJ6HKbVdPU5iWf2jSj7mWFGFD6i76mVl2BNpgzgR2alD6GoxXOUIB+YM4G3PjsChgMOGLCCADAjAVbcP5Jh6R+rS/c8QYWburGuusvTO2c4jn0Stp1eTsA/Orl1fjz0w6rea7u/hLe2bgXQFigH78N//ktrwIA1l1/Yeam9ZZd6bce14xLnnDXM/inMdnK0h+uplDLkxk/1zI/VoVa2+bIGQZKlj9hzXJxKlFKnyEQbnsLZby5djf+7D0HOdYuYbmXXORo+fW8X5+/4w3vs05Q9TS17iOrlRIqHNk6pDKKbc5knn+r0NQOlCxvwbee58Y594KVtecNd7E5eB75ni8+fTKWbtmfnlAr3edMN2fsdU8sw8+eXR6I7MwQb4EgCqpQdPaPnsenTzsMN3/+9MTnDgqxlT62cYgz3ZEDh6U9ltg29+pM9andtLcfE0e2e36wcZAtlUS/xjmHaTixVIT58aj2HHokTXQagqdo2jYHlmzpxg1PvQugvoweBBGHmsMDY+xwxtgsxtgyxtgSxtg/u9vHM8aeZYytdP+Ok475NmNsFWNsOWPsfGn7GYyxRe5vNzNXomOMtTPGHnS3z2GMTU3/VpsTQ3r5BXKnlsaqXaFsg4f0U7KmYjjkKBMDSrHsm3PJWgKbczBkH7xJdPym4ZiXZeq/697fnr6SJ/jE9SuLShyNaVTC0qiUbRunThmDg0a1Y1R7Hp/4xSu44OcvVz3X39w1B2t2OgFLdPO/sOdgKQN12m1Dl9In9iRL2r2e9pRmBO4sZCgRbEX0eeoEx4kYW/+FZZFYZ37c2WYGNC5lraY2m4W9Z5Zsq8ufbCjXGWfM34K/u3subnpuJQBgRJt+In3P350FIOijmdRsW9ebjXaFWi/aeZ3B3uTXQk0JAzguJJ5PrSQ8eJraOsZF4VNrMIb2nIlCyapY+JQDReUMBrD0nndYmWWBNit0mr5nl24P3b+3UI6ceaEi+rH0PXagKGF+HGHffilNkTqWJEXWbJfKQYufD94wC7e/tLqu8xYD5xU54bnbJg3s7XM0tWLxyNs3DZ9a+ObHcpTlmJ4DBBGbKGueZQD/yjl/L4BzAFzFGDsRwHQAz3POjwPwvPsd7m+XAjgJwAUAbmWMiZHiNgBXADjO/X+Bu/1yAHs558cCuAnADSnc27DA9z2QzIVk8+OomtoqQk6hbIWeZ7j51IqJTcnmXnkDmlo4HWfOYJnej6+pZZn71La7ydILZd/kWtVyNTMlKTiPurKeMxjec8goFC0by7buDwSK0bFosy9067QaYZNrdcJTKKebvqqsScUQ1y82aZ7aNDS1aWsEjxjf5X0Wmj3RdtPW1MoHCzM7mbGd+cAEa0dPIRD9HcjOBeOK+97G3987N/ZxQxmRXljqLNzkmBt3tesNuT5y/CRMHNmeKPIsAEwe2+l91o1fnW3O9f281PVdy1YE2bacgQ8dNxEnHDIagDNWqD61QH1R9EULtrkf/bg9F6Kpldq/abBUtVhR+48sAsPp+tZq49XJP3gaZ/8oWjRZNYVPMk2tK9SG1PuMBVu8z1lqamWLB12e2k17B+o6r/wcxDlFVPiDR3dg/6BzT+NGtAWOS2PeJKfdGyn1I6SpJbKmplDLOd/KOZ/nfu4BsAzAZAAXAbjH3e0eABe7ny8C8DvOeYFzvhbAKgBnMcYOBTCacz6bO6PUvcox4ly/B3AuqyaltRCir5c7ZLkzSkP74vjUhpgfB4Ta4aOpLZVtbyVSFijlhPeZpvRRfGqz1NSKgCUFSTs9nAaHomLyKShbjvmnM+mLL2Tq2nRYVEK1LaStsdDmqY35PsmHNypPbdqBokZ3+hMaUeee+XGGgaJ0eWrHdrVhT1/Qjyyv2LJmkoMywTlFfazb3Y+Ne9L1dVcR5RTtqEsS8M44clxgXzUdTdy29/KKndi8z5+sq73ZA39/ttc+xCutRkGOSsACwuI4ZfIY3Hf52d6CRs5kMA3nsyzUeoGi6gzwxbnkU2vZFX1TUFNrOPnOUzM/TtNqI965dJraWouwQsCqhSrEBhYsYpazVjv6p9++433OMlDUdikaf1ET/Xh/SECnWgQ0wG50/v6ihc4201tsNA0WWHgUZUiK8OMWMU4Ew2jaQgxTYnmnuGbBpwOYA+BgzvlWwBF8ARzk7jYZwEbpsE3utsnuZ3V74BjOeRlAN4AJmutfwRibyxibu3PnTvXnYYnvU+tvK0gT7nTMj4M+taayQizIMvJnGgQEItuuSCwOiOjH2fvUeil9DNenNsNriUc3c+FWPDLPeYXi+5U1Dl0UYuezjZzpmOfVI2TqqjxM05a5ptauTJsVP09tsG7iksaEOG3FoHwbnk+tiH6stGE7ofmxmu5DXfgZ25XHtv1BE+CcYn6cRZ+RRIMua9KuvO/tNIoTinh1dNYgFUKtUm9xrRIu+82bge/yo5owog3vP3ai5JrDA3/jPqNAADabewK0uKbjQiICRWmE2jiaWndXMVYZjKHdzb+8S8l3a7qCLOC8C05quHTaX5pjedxXQicUqYsg2uvYHH98Z3PNfQRqntq4i4hqXW/rHsQtL6zU9kGq20Ka3P/GBnTkDYztymvz1Ial3qlFIFCUbWP/QBllm2PCiDZPkD14VKW/bimFQFFFS0Rz5oH6OkB0VUQDiTw1ZoyNBPAwgG9wzvdX21WzjVfZXu2Y4AbOf805P5NzfuakSZNqFXlYICYOckc6WI4faa9aV+Gs0vnfZb+hgFCbcTCdpMjlK1ocRatykuMEinK1p5maH/tBRrLW1AphYKBk4Y01TtTKrM2P0zRDDYvmXbad9AJ1a2o1da4Tajnn+P3bmwLb0tbUas2PY0+ygueLSxrNPW1zVzlvtHjGhiRMCD58/CRwJNMQ1woUNa4rX3FMhaY2gz4jyYJXMNZCtouOsqb2rXV7sFxyBehS/GvleuvIG4kD5ekmu2LxQxVq47p6yCWzbFsbQEzNUyu2A/HeRdVEWpgfA8BWxafaNIAbPzcNR4zvQt4wwFh6KZzStLqKu8BW0PStUcarh+dtwjcenF91n4AQyxXz45h9l9rX/dNv38F/PrMCy7ZWusD0SpraNGMXAMD+wRIOGd2BI8Z3oaQZR7r7kwu1JYtjd5+zqDJhZBuOmugEnCy5Y7BMGm1HtIFCyQqO+U2uOCGGP5GiHzPG8nAE2vs554+4m7czxg7lnG91TYt3uNs3AThcOnwKgC3u9ima7fIxmxhjOQBjAGQXc76JUFejgaCPRdTxpNoCWMkKmh93tZs4ZcoYvL56d2CAz3LSdPaPnsPxB4/CfZefXfc5AhGiy7ZXXrnTdAJFOSvDWQqaouPPuYGi5KApaTOoWTnN2vzYsnmFNqZeQgNFWY5PbXve0E6EahHV/Pj11buxdldfYNtgys9La34cV6MkR2mt411MY7IlzpDWoobNOTpyJkpW2VtIEGalchs2mYgYW/+15ENtxewN8H00ZdqGwPw4mVDrH1srGnFSZOHxs7fPDvw2Qqk7MRFmzKnDpPUmBwoSz81Ld6eYHcdd8KnIU8vEdXzfbtEm2/Man9oYjZIrgrfhLtoBTmobwB+bTMPAxadPxsWnT/bKk9aaUpqZDOKeql5N7V4lxYxjuqq6KPifK8yP4waKcospriAEV924sldyW0i7jxCLuyI6u/rs9g3oU+/UQjyHjryBsmV7rhcTRrTjrKPG44XlO3DO0ROwdIsTp6LNTT2VxjxQXHuwbAXe176IAcGalUamWCOiESX6MQNwF4BlnPMbpZ9mAPiS+/lLAB6Vtl/qRjQ+Ck5AqDddE+Uextg57jkvU44R57oEwAu8BVrPHS+vqTCzUtHlqZW1SOloaoN5ake05/Cbv/1TzPnOuQG/syx9arfvL+CVlbsSnUM1XRWdr9wJc+5MJJzgTdndj2yil7Wmtt6V7yTUczu2zbWdfjFMqLU5cqaB9pyJHYppXr1l7NZMAHQ+SWouxaSUbV5RnriTA7nqorYnnkBTUa0QafW+NvcFBbGQIAsTAmF6mSj6sXSssNiQ6da0A1VTm0WfkeS5yMWJIhgkwYsmr6mDrvagplaUJW8YyJlGLCFKt6AkB+IRo5nnU+sWR1RjEp9a2/Z9rUVt5gwG0xT3E3TNcWIzRL83X5vsXoMB7Tmn7oTp+4SRbd51ZQyW3qQ5zYBnsTW1Op/aCAuk6vuqe8wzFmyWfg9qamNHP/YCRdXed1evP66kHjnfspEzDORNhmLZrnh2+xJqake05VC2uXcP40e0oSNv4r++8Cf44jlHIif8yd1+Ok2f2sFS0Ee4vxjNd7pZ0T37HT2D2LKvvmBeRPpEWfr9AIAvAvgoY2y++/+TAK4H8DHG2EoAH3O/g3O+BMBDAJYCeArAVZxzMYp9FcCdcIJHrQbwpLv9LgATGGOrAHwTbiTl4c51TyzDyyuq+/6KCZ7ccQ2WLG/AS0P7UrKCK5onHDIKHXkTB4/uCKyENrtpiGziVrK4FCiqUlNrGkamQrro+Ntywqc2u7ob1JjmpqWpfX7Zdq8eZX+mesxQP/ur2Tjl6mcqtsvPQT6vZduOpjZXnwZKNwH8y9tmV+6nOTZtTW3ZtvEP//O2si3m5NuW23e09qRqLpIiTjFz0Va88G54Go7o5+OBQGeAFP1YasOMMdh2MvPLoPlxZaCo8957EFSEafSRE7rwkeMnZWN+nKAfktu4znLiobc2Yur0mdjdG39RSEW0P92Yo2pqxWJA3s3xGqft7dQsYMmBeESzYG63ULJsrNrRW1XorkbAwsf2fa296zBfwJS14Z4bS4zriV09TS1jXvT67a758bguR6hVFyYZ0vOpjdp/RLlc3H5F50qSUx3oNaj1oV63Z7CE3765MfB7YOxP0C4Avz1wXnku2fw47QVsYRWVNw30F60KRUihbNc1XolxvavdRMnivqZ2ZDDasaj3DredpqGpFW1gsGQFFkX6h7mmVvfsz7ruebz/+hcaUBpCR5Tox69yzhnn/FTO+TT3/xOc892c83M558e5f/dIx1zHOT+Gc/4ezvmT0va5nPOT3d++JrSxnPNBzvlnOefHcs7P4pyvyeZ2h46ewWira6Ifv/2l1Zi3YS8ApxMTvj1pTFQdkxbnPJ885RD89JLT9Pul2FkXy06KFvE5DeRVWdlMRk3pwxjLXNAUE/Q21x8rq1QgQHaa2pdX7MTl98zFLS84eSllf6Z62t3b6/cGBn+BPEgGtO2W61NbR2J5ILoApGt/aWtq+wqVg3X8ybd0bMT2pAZHSopsAj1z4bbk5+P+ZMkLFOUFx2H4zOmTcf/fn+1Ffk0rxYjOp/bUKWPx8RMPDmwTQozJGPJmNhYXunNG1cjJk+ucwbC3r4i563zPnP9925nkr9jem7CUkkCmKZua+siUhEAnfVr0etsuBev68gemojNvBo4XT00selz/5Ls478aXPGE4dt+kLPx4wqz4mQf7UyHgmobzOY6wpAazUn1qR7bnvP5O7cMNll7U8TTbcdxz1RP9WLeP2p+pkcsd82P/e5LFDhkOXnV8SHteUbYdN5w206i4R0E9wqBYeB/RlkPJsrHfnZOO6QzGFhALe6M6nO2pmh9LPrUnHDIqcj7iZqVaG2sB49KWYBjFUB1eFEOC46jIE68lWxwhcLBkYUR7MPF8EuT0Nxeecph3bpU4Wopi2a76Ev9gxhJ84hevYGv3APb11+cToiKv+AWjH8vmx86kJZfRBFVQKFtoyxmOAJ2xqbNOU5uGULtxr5MiRGf6G1dAqtYWqgWKyptG3ZraRZu78ff3zK05COsWmNLW1PZoUlLE1frVE/04qPlOT1ML+JP7bz44H1Onz8SV983FzIVbY56Pe+aXYmIm5+e88a+m4QPHToQh/AkT3IIq4OuMGVThTPjUGsKNIIPFKd27FPVRBZ+Hgc/f8QYuuX229751uRrUPs1iUlyq+ayq/o5iIpw3HdPdOG1vg5SayGQskPYJCEYllhGCRhLhReTpdK4jgjRKps627fVHwtd2+/4ClmzpRhS86MdcCLXMa/9bugcwfkSbt5NqfuxYK6SkqU1x0S5uv6ITaqOYzqv+s+p1ZRNg8XuSPLVh+1s2144POYNhVHsuE02t8KkNG5fqCaQo3pcR7TmULdsTKDtyiiuB2weKfLJyXvl6kc2PRX11tpmpKTgEJcvGeTe+lIpVURSqjelHffsJvLKyNbKyDGdIqM0Iud+rNuk2lBViznlAUxt1kKu2m2yqq07qAOC16R8FEF07tH53H47/7pP44/zw8PtvudqEnsFy3SHpVcQ8P286mgGxuv/H+VuwYrsTsdDxpXODcWRpfly20S60PEa26YN0A10a1sf9rnaxSxNAJ+5i9O6QFWYAKIT41IrBXA3WE4fnlm3HOiUIlIouB2Lamlqdv2bsQFGyJULEtivLS2kItar89YNHF+MR1yz96SXbcdUD82Kdz+YcU8Z1gjFg9U5Hm6gznTcMoamtH7nsXJPSB6js/4RwJgK+1Rtg59rHl+Kr/6NPuaPrG6IuGgUDRTG860YkFqcUE9GeQvI+VrQ/XXk/eOzEwHdhTpo3DeRj9n/y+2pxXuHXzBA0D/b29QJGxV0s0m+XTy9Mu8s291KcGMwR2Gcs2IILb3410rVECxZjj8hTCwDrd/djyrhOb3FntKIx8xZ2UiBNq6u4/cqCTfsqtkVxl1HzVqsL+qqJvcV5xXgSB/Fuqe2tZHHtQvKYzjxyZnoLDwKRrz2fM7SWTkB90fqLklBbshxBvSNvBOacgL/gMKrD6UvS8KmVA0WJ+urMpy/U7uotYNWOXnz7kUWpnjcMuZ/TtYMXl5NQ22hIqM0IOzBBDX+RAwOrwQKra0B0TW21SVLJtr28YTqhVgTHiJpr8O31jpn0rHfDX2B5pVqOHJjEtEVMODtypqN9ls715KJt3nUZRICPLDW1tucr5USzzN7UWUadANSDGEBHtFea/8bV1Or85ARhmtqSZadi8llLQN0/BJpa3TWSpPTZsm8ATyzaiq3dTgCKnsESZizYojkmZfNj6RzvbNyLe2avT3Q+23bM2qZOGOFps3Vtl3mBouq/lnyobesn0qpVgNAGGgktLu58dS2eXKw319ZNfqJeR64PWXMpjhfv7q6e5NYwYqxR3401P/okjpwwIrBNCIFtOeF+Eb3/W7fb19TatkaoFZrakD4uqZmp6lPL4detbfOApjZucC4xDDwb4jAAACAASURBVIjnYzB44wSAgFCrmoEyll5KrTR9w+O8E9v3D2Lx5sqMj1Ei6atrm6ovurpwattcsW6Jq6l1PyhFK1u2Vogc3ZnPJCikr6lloWNZPZpaP1CUibJtu0Jt5VgvFqiE33xS8+PBkoVVO5wFzIKkqe1qMwML3Gli2cCG3f2pj+sqsqJEN18+bGxnptcnakNCbUbIA0G11Sm5U5bNT+L61FYVasscRdekRKcVE+YnUU2WhAAzaVR7eHmkQV3W1PZqtGZREX1Ie95EoRyMqjduhDNB4O418zEjcsalWLa9uswZLHGexjBWbu/RmnymMa6KSIQ6TW1cs/dq7TQ8UJQzmNczYMvUOl5nGlxIW6jVaGr/85nlsfxs5Lq57cXV+Mf75+F9P34BxbKN6Q8vwj/99h28u22/coz/OY35glzaMO1KnHvibsCmEw4Z5W3TnZbBDdCSUvTjMPNjVYASh4hIt1kEl9NNgu96dW2kY2XdtRxsR7xvou/e1Ve5qPSL51bix08ui1xO0X5UU2ZVs+OUxRVqRUyBGB3SLknj5mhq1YBJ7nVD2l8SCwjnvMEr2Zx7dStrak2DxQ7Ip/rUMvjRjwHg8HFdXr87tkJTm55PbVg7Vk26o1wvzrPd3atfXIniLqPWtToG7VIWTi1bCRKZkk9t0QoGZhLjvBBqU49+bNvImdUtlupJeScW/bvacihbHAMly4twLCMWHDrdOWdSoXbehr3Y2j2IiSPbAz61nW25mm5rcRGm0j2DJXz4p7Pw/UcXp3Zu7fXk+CCad4z8ahsPCbUZEYi4WKWTkDtI02DeCqFYNYvagYbtZzDn+n60Xs0ERTK9ikIkoVY6lTxJ0gkYUfE0tXmjQvs9pjPv57lkyTS1u3oLOPPa56r6UTmaWmcQyMJ/d9PefuzuLWDhJn0Z0ghWIXLGqZNKIL0JAhAeKKrkpjJIago8UPSPH9WRw9+cc0Tgd62/a8rPS2fibNkcm/ZGD/UfVqSybWP9HsdkU10gy1JTG6ZdiVN1ImDTwaM7vG26Ca7BGDiSTeoDmlquF4rUiaMw0zQMhrxhZJPSR3POnz69PNKxOh9noFKrunXfIFRuem4FfvVS9JiL4tnLQc/CNJVCmG7LGcib8epNfvcsjaZWBKzRCdNA/HQ16mvBVE2t1FYsm3vWTCarQ1PrXks8HzlPLQAcPKbD63fHdFWaH6emqQ0ZH3RCTS10Y826XX348E9meUG/ypaNG59Z7sVpUIlSjxWBopQ2pcZ+sGw7sE+SaPOAb4YsTHUFh4xx+q4pYztdF4VsNLWqFclfn30Epn/iBAD1ucsIQbizzcDuviIemrtJL9R60Y+FUJvs/sQYdcT4Tjf6sTA/FtGV06s/YYEo6meRxkogTVRLM5XhHgirFSChNiPkcaCa472lTEpFZ+qZH0cWavXbRUJvz6fWrOzUxEQvamcjVtqrBfgR5ba5s0Io0JlpRkUM+LqO2TR8fyThU1tv5/nKyp3Y1VvAr18OnxAWy5ZXb1ms3n7whlk487rnMLIjJKhXCtfrdxcb9D5/8c5VrTzyAoStTGhzBkvsZ9Mr+ROWLV7RPsSiysmTR+PnfzXNu3ZSrn18qfdZp6kF4gX04m76G3WRwbK5N5FXU2Ok7VMrn0IVNuq5js05DMNPYwKE+NSK6McpaWq5e12VvNJniQm7yZxcmlGtO7r7S/jBo4sjmbsleS6qT616TnH9lTuSRz8W55Tf17D262lqXfPjONod2+Y4zBUULpo22ROQJ45sw799/Hjc+aUzI5Uz8vWU3cUtffq0wwAAJx46WutTaxosVLAOQ7RB0c85gQT9NteeM7z+bmxnMLUKWDoWOIAv+P/kL0/FZ8+Y4m3vyMef8uke7b2z12PDnn7MmO+4RDy3bDtufmFVqG9jvZravkIZJ3zvSTy3dHtFLlCLq4Gi4o0j4li1ZKr58Vh38WFsV1aaWmccPHrSyMD2fz73OJx55DgAdZofWxZMg2HHfn8xQJdpQNS7aBtJx2PRZ41oz2GwbHvPRViEpeGzK1DNxGWLoCyQx4eSVTle9Wds/kzUhoTajAikn7HCG7qae1UEKBC+UvUEFJFpM42agaLEBCWqH44wJ662Yi4noZdXr5J0aEJw0vmFWLZvqGcwJ+jL0q378cCcDbGvI1Zsq1V90Kc2m0BRnPt1fMrkMYHf0ghWIbSLOrPzuObH1coTmtLH5jBNhnNPqMwfGocnFm3zfHgcP10joJEbKFo4a+p4PP71D+FjbkqXNDQid0ompLpAUUA8rZLNnRV7NTq5ZXOv3lTtKQ9M6tLQ1Pqf8yG5JeMJtc7EfvwIXyulm98KLZV85n+4Tx94KQy57HZIoKgPHRcMeCQWHHOGgXzEBZbXV+3C3979Ju6ZvV7r56yiE5SFe0kt5HsKaGptjrJlY81OR4O/ekdvYj9K3TsfKtR6eWqdRZg4bcLiHMccNBLrrr8Q5xw9AW2S+ePXPnocDh/fVfX45KlbnOv9+WmHYe2PP4kjJnR592lJPrVGTJ9azrkXyEtO6SOfQ14oUn1qDZae/bHoc993zAT89LOn4fyTnH4vSr5YFV37Va27RGA7kZLmmk+fhMved6S/f4Trqm1IWLoMlmzc8NS72KwKtYr5cdzgWGFttmjZmP7IQu+76MNHdeTd+BnZaGpPmRIc43Om4Zmu1xsoqs00sG63H5itU7OoIe6nzUvPlbAfcQ/vajPdSNJCY+xqglMMFqXOJ9MIoFkN1dJM1aCTprbxkFCbEUGf2miaWjnsepdnfhz/ejL5nKOpFR2VztRUDOhRBwVxrWqBpbz0ELYdeNGTdGhicNGtNpctP2gEg6N1AYDv/CF+VDw5gEgYsk9tlkGpxHNTgzklHVg551joRqnUPfe4QnNVn9pAoKiggJszGN5/7ET89dlH6A6NxIwFW3DejS+Bc+6lCZLbeX/JQkdbMDdk2hOT+RsrI34614mhwXLNIEdqhNqw+g361KahqfXPESbQxLkn4VM7boSvlVJTd4htth0U0p9aEi9Prnz3Ftdf5/3HTMR/XHyy911MigwD6GrPBaxKwvjCnXPwzgbneY8KSY8m8+BbGyu2RQ0oEshTKwlEls3xn8+s8ISoomVXTPrjolvnCWsDIrhgey6+T62YxAuEwDO6Ix92iHJ8/amygOCiimgjXzznSBx/8EhccsYUX1PrurFE5eoZS7xn4MeUYAFBVhZw1XFMWCukgboIJuq4nvjiun4l5y0CuO+PUk0XT5uMaz59kvc9Sj2qiyq27VuD9RetCk1tybKDbl4x5xbefEEpWsniWC8FM/vsmVPw6dMOwxUfPhpGzLzFUXDGQQPHHRTU1Do53J37r0dTu2XfIA4a3R5YJO3ULKZ51ipuWqHkQq2rqXXnsD+YsQQA0OW+V2lqatVFyKyFSnmRumxxnP/zl4f0+kRtSKjNCHlyVq2TsJWVH6E9G+eavCQNFCVW3qppahljbpqcaJ2NuFS14Eii2LYdNMlI0qGJe5Q1td847zinLLYfOTXuCnsY1Uwhi2Xbq8ssox+LZ6Jqp8Paxbpdfbj9pdU1z7t2V5+X90/33ONOrqppduVnLq84W7YfoCVuQBYdwtw8b7JAOx8olr0BVVwn7YlJGHEm+07kblQKtZx7z0h97o/M2xTYL01CfWpjNHWhMR3f1VZ1P4PB94mvk8qUPvr92iUhQ9SraTCMaDMDVi1R0E0SZYplG/dqIkgff/BIzd6VhPrU2hyvr94V2Hdff7K0PtWEFxXxfjnaHQNly8b+wVIkbbFl80BkY2ESPirE1UIl6YKUrq85bGwnnvmXj+Dg0R0BTW0coVaOFB7Q1ErvUd408MBXzsY/n3tcxaJLUp/azfsG8Ec3/Za/iO2OURGiD4ehq++csjioWqSM7MgF7i/KeFyhqZUsN3b3FSriFhTLttcXMRY/wJHaj4nili3bm38BTn988+dPx/gRbZmM9WKRZ4QSsDEn+dnWEyhq5Y4eHHfQKNz212d423SuW94CiMG8dIlJEG24S1mIF31lmml91HP1ZyxULt3q++wWLTuw+AGQ+XEzQEJtRgTNj6toNAP7cc83T2g2kpof25zjd29t9FaQdUIt4EYLjjgo+Jra2ubHFZralM2PvTD0dnDVNsmKmRiMq9V8oWwHUj9kp6l17zkXTVP713fOwfVPvot9/ZVRKO+dvQ4PzXW0RnJEat0gE9tvrcpjlQdJdcVZTHbSMBuSJ3KydqS/aHnmnr6ZYfLrRSGO+THnTj2ok3tZU6s+l2tn+tFt0xDU5YWcMJ/aerTP40fWEmoZbF7d5L8WshbK5jw0JYy8n9hldEfes44R0Wm1xyoFrDVBC6urehYrAyl9OK8wXw0zgY+KbgwxQ8xGxQS1LWcg506ET736Gfz7H2pHH7VsHvBVFVrfUZE1tcnMj2v1NUFNbX1TJFFGxljAjD9nMrz/mIn4l48dX3EMQzKf2s/dPhvfeHA+SpbtpWsTC2Si7aiPOMr7putXhNWA6N/k/Kqj2nMViwGRNLUa82OhRdSZ3xbLtjd/6siZmLV8J56OYd0RtghYsmxt+iwgm7G+bNvIafy3TYN5bTFuoKiSZWPtrj4cd/BIHDKmAxdNc/zHdT614n5Mw0BbLn1NrUD0GWnmiB8KTe1Ti7di6vSZ6CuU8a3f+2bp+kBR9QdCJdKBhNqMCPh6VHmJ5feiZNnexEQEVkka/Vho437x/EoAQLsmUBTgDH5RIxP7WiPn7+zVu3HDU+8G9hETCZvzoE9tFVPsWtgaobZTk/rIYMwzy6sHMbaICWyhbFVMGCs1tdmaH6umamECTE+VQFzff3SJ1ynLbfKuV9fiD+9sCuwb93aqaQnlQUwdhMTkKKmmdkxn3g+mpAi1g5L5sXi2aWs1deUB4gqAzmRfZ35cDhFq1f2SIp8ibCIay6fWdlLrVATFUTAMVPjUxkWu6rA8tUDwHv906nj83/Pfgx9/5hSv3nsL4f2gOrkO02ps3NOPsmVrf2+LES1YFqLl2/neHxdXLH5kI9Tq9+2ShVqDecHY/jh/c6TrBDS1ZraaWvUVrNXX+IuVQQ1jnCBmZc8slyGfkzWW4VMubzG1zr5pmxuJ2LKdAEtyRF1hKVHLskCHrr59lyXnPgNCbcTnqKK2P5vz0PdLCF9iHBRmulfG8MP3gnkpoaJ+8fzKwJglL7Zk4lNrcW1fmzcN7/nFzb/aM1hGyeI4yM1QIdJHVdXUmumYH3sBPZW21pWBplYVkPtLyYXK/YOlwPzqpmedufOGPYpWViNAR3FfIbKFhNqMkPvnappaWxF+VaE2LJpg5XmilSuvSekDABNGtgfyB1ZD3I8QIj5/xxu47cXV2qA1Ij+aIBVNraRtFp10wKeWVXZAcVADRV1215s47ZpnAvsUypYXxME0DCfHZgaCragvdYAIG1ijlGDq9JlYvbMvsE1EsRTENYOrdu/ygKwOQlE0tYs3d9ccCA8a1e6nrTJZIPJtf9HyzI8ZY47vWsbmx2IRIs4ESPgYj1Q0VrbtB3GrJoynIajLYmXY5DrOdYQAU2uiy1xNbaI8tYqmNqxNydfgHLjqz47F2K42z1yumglbxeKWJgjg1u4BfOgns/CTp5drrV/yMVKAyXvJp3rh3R14YlFQK5VUqNUJ2rLweedlZ+KmvzoNgB/zgcERcIRpaJglkHqdgE+taxob3ad2aDS1hqI9i7eY4/x1AkX5daKLaSEwWHDciYt4X8s2R+9gGSPbfRPgf/34e/CdT56Af/34e2Kft6pPrTsHkNP2dUhj1cNffR+AaO+1XlOrP64zb6Jg+ZraapkYQq+ntgv3767eInoGy/jyB6bip5ecik+ecoi3T2bRjzXtwmB+juO42k0vj7X7nMa480ldf+RraoVQm+z+QjW1WfjUKv3vzp4C3ly7p/7zlW2cevUznh8wIFt3BetFBEWTydr8magNCbUZEQwU5b/Ejy/cgqnTZ3orm3LHWrId8+O2nOGtam3eNxBp5TbqRDMswffEkW2eVrcW4n7UiZnc8Xp+tzZHf9HCiBRW6XSaWlFPZdvXihgM+P6nTgRQn1mrmByLe5ij6SQDmtqYeX7jIMxL2xXz47CBVa73avzurWBUaLUz/voD7+D1VUGfvWpUu3fZnFMdnMWAEaY92binH5/65au45rEl2t+PnjQCAHDQ6HZPO5I3jcBkfKBkBaLNmgbLXFMrntdjC7ZEFqAty/Ex1vnUivqtdq40BHX5FMWQyU28iM6OcFAr2i9D2j610TS1ct86IoKmVk1JpkvXJvJ4v756l/a9yOeia2qDArj+GCE4JNfUVm6T/SLPO/Fg/MXpTnoYMUEt2Rw50/DSaoWNL+p1ZGFR9OejNQsfOg1WWnlqw2iXLHB0uYGjENDUmrIAH14/4lJJg0WVLRu9BSvQj3S2mbjiw8fg06cdhr84fbK3Pcr4WE1TK36TrbzkNnDGkeNxyuQxkSx/1Hdi096B0EXwzrzpmB9r5gRRka/XVyhjgZITfkRbDp898/BAezENFrv91aJs6zW1jEk+tTEDRYk2JN6zj73XiX6tK7mfLs5pq0mFTlGvlT61bkqfDM2Pt+8v4HO/mo2BooXXVu3Cul19IUfqEfV83xu+f3yYUPuVe+dWHE+BohoPCbUZERBWpU7w1llOEJ81O50UJLbNMWVcp5t6x9HUjunMBzo53YpQxfXcF+5Pjhgbuo8TtCJMqI2hqRVCrdL5yau1Xkof7uTeFeaY6fjUSppad7K8tXvQ06YyMPzdB4/CP597HDiPb84lOnl1ciEPLKpPrVO+7Bw1owaKEvdaa9KsmjOpgvvy7T34wp1zMHX6zEjPTL5eRe62QrimVkz4wuZWQoh4e/1e7XMc25nH+4+ZgFKZ++lZTCMwaeY8qD0wWPoRLFVE2/jv19bhllmrIh1Tsh1frkqfWttrk1XNj9PQ1EqnCHObiDrp/tztszFQssBYbUHCD5KTznMR+XF1BCxKZKFW+NQWomtqC9oga85fk+mD7zmBlaIKtfLnymM68ybOOHI82nNGaK7kqOjeibBnLRYpnIUY5pllR9HUCh9CwTFufs49mjgAOg1c3OjHqlF7LffODimonKn0I9WQ7933qQ22/WqaWuYJtdWvE4Y4rOyaH6uLY4KTDhsd67y6dqG6Q8hjv/rMDBZNy622ta/cOxd3vLJGu29nmyPUesEjc/GFWvlyuiwJupgCWSyIli27wiz98a9/EIAjlLaZRmxNrRz8CQBOmTIGD15xDr574YkV+04c5WhxJ45sdzS1aeWpVTS1wsLuc7+anTj9mCBMQC6ULfz1nXPwf/7zxVjn0/XLtTImHD1xRM3yEEMHCbUZIU+crnpgnvdZTFh7B31NrWkw5EyGwZKFGQu2YHRHLqBliGJKa3OO//OeSTj/pENC96k24XA0tYVIAmAhRFPbJ00G/ZQ+HP3FMkanINSKwWSsFElVTEA27fXD/YuqE51R3EmCKKN62LbuQe+z6lMLAP9XCiKQNuqzq2V+XGvgjTNIVpvkC+QJiTqB6QtoaoPnEoFY1CAZAjHYl0NM0URQqIJle/5deZNVBAnqkhYFsvSBFrRLCy9z1u6OdEzZ4sibTLOA4dfpd/+4OLCKrO6XHL9eZq/Rlztq3b25zlkoieIvbTDnymlpasPy1ALBSbpcZ0JQ66sS7KO7X9XUhpvzMaY3VWyLkdfV5k7e1MljO7XPV7h2jO3KJ49+rKn8MKG207OQCWqZogi1qr/zB46dAAA4eFRHxb5aoTaua4Sqqa2xv7xYKfcjtZ6ZXFY/+nHwamHB1wA5QGFSTS1Hb6FckQZOECeiM6B/34VQUtb41KptwDCiRXXWte9XVuithdpzhqupdb7r0vzVvp6/8CDynMvo2nLOiG5lEacc6jM5Vkrv054zIvvUbusexLKt+3HDk06ME7n9nX30BExyfWxlvvKho/Hzv5qGi6YdllKgKOevujgr1+dzy3YkuoYgbB5TbzAqua2LubAn1IbUSyB3bYaKDSIaJNRmhNr+RQAf8aKLFX+R3iBvGpi3fi/6i5azki+9HBv31s4/KM6zt8rEptqAOmFkOwZLdiSfANmndvVOfzDo1WhqbZtjoGR7mtokke+E/85EKZLqBDdKtNzpi468XnMuoVlXtbwf+emL2D9YAueOn7AXJdO90MyFW2NdR2X+xn3Yvn9Q+5uaEiFMWyGKW0sTpIair0YUDbQ80KuTTrlNqdokz6dW2qZbWLGlYEkybTnDW12+5QVHI5o3jYpJQpe0amxkGK1aoJqLR8FyTTnVibwTKMp5Bit39OJ7f9RHmE3F/DjC6xm37qLMoZmrPU9yB/J7bvNw7bBcfHmVXWi2+qqYH6uBQHoGyxUTTtF+DaYPJJXPGZGtOoQZtWFU11B2teUSp5PQPdawR+3nUbcD0X2jmB87k3j/+6lTxuLxr38QV37kmIp9px1eaXmU1Ke2ZqCovC/Uyr6OtcaRdo2mVr1WtdQ2yX1qnb9l23aFWr2mNhdD+wzo251wTRDtW9ZQVQi1EVMV6fYRQsJl7zsSV374aG97Z5uJYiBQVB39rYjBAX1wK51QGzcncxRELIXAtaUXJB9D0Dznx8/jE794BTMWODEyoixg5E0DF58+2U3tmIJPrVuvcm5yIFifSXNqC8Lmkyu3Vy5SREHul5dtdYKNioWtsCBQ5xw93vtcLc0lMTSQUJsR6sArhBUxcdrlmhSLiKd50/CCbfzgz08MdJyDEQRN4af0sRMPCt2nWjCFzhih48UAtm+giHN/9pK3/TYpP6qsqR0sWZKmtv6XXtTJxJH+auPEke0wDRYQnMQ8Qkxq406C/I6No0eZ4N75ylrMWr4DZZt7ESWT+rIJLv6v1/Dxm17W/iYPTu05A2HVKEedTosobUINviMjP5uXlZV3MWmUBRD5cYnBfE1I/t28aaAt55h5/sHN0ZjXCIadik9tmvWjQ9YcRL1UybIDuQkFls2j+aSlHCgqjLA2GkY0TS1zgq0lChQlfebheWrFNU48dDQu/+BR3nbhA9ZXpb9Vy3fTcytwytVPK/s4fw2mz2mZjxH92Lad+zAYq/oe5gwWqkmI6n5h2zzQt1Y7VkxQyzaHKQl+kQJF8UrN1MmTx2iPvfnzp+Mnf3lqYFtU0+2nl2xDd3+pUlNboz2GmR/HUcL4Qm1we3VNrXudxD61jvlxWHC2MKuY0PNV0dTqrLbUhQ0zxGJBRbeP2HbRtMn49iff623vzJsoSYGi6slLLwRii+utgNo0puI5g8U2f6+FpQkUJT+jXIJF2Lha+TR8akW9qrnJA5YMKZkfy4qUP506Dp870/H5/5u75tR1PrlveWnFTgB+HQpLxEvOmOJp0v/qzMNx4qG+OX+1NJfE0EBCbUaok4Ft3Y6/apcQat1gIkLD2mb6aRE62kycfvhYTP/ECc4+UVY53fOcceR4rLv+Qm/7P0ir39VW0eP4hQqhVtUKP7bAj6Ar3m3b5iiWbYxy7zuJaYsY7OWJ15jOPHKKUCsm0WG5+aqxYnsPvv/oEu84Nc3Rzc+vxN/d7QQIECuRYdrVeugeKGknkuJevvKho3Dy5DHhmlr3b5qayCh+IvL1TvjeU/hfNx8uEBRq1RVacV/yPDOQDktqLw/MCQa3ApxBWE1DkDNZhaZUHlCjTrKqoXtGP/jzE3H4+E4AQGfen1C+vnp3wAUhDDG5UbUOUYXVtANFVSNO/dUSIgBn8m8nDhQV1NSGCdPCfeFTpx2qDVhUqKLx1GqTFCFLDtKiE8DyphFZ2yPuw7HCqfQ5Pf8kJwBMroqGJfq1OMZ1KZG3Qw71ot/a3MszC0Q1Pw43DVcZ1ZHHh46fGNgWpe3t6BnElfe9jSv/Z27FAFDr0mHmx/pnb2Pl9h7398oyqm1fF+VW4KeSq16+WpRt1/y4TS/UhuVvDkNX36JNicA48j6V5sfh7UiXMUGmJAUxkhGBooRwFFd4A/x+dbBk4611eyt+17XlsHe6XrgbBFC44VygcR/LGaxuZUDcemnLmYnzyIrnOFrJoy2/C0lNnAHHoua2F/2F7qLF8dETwpU6UZD7SjEfF3UoguGddvhYL6hde96AaVZaaBCNo+YIxBj7DWNsB2NssbTtasbYZsbYfPf/J6Xfvs0YW8UYW84YO1/afgZjbJH7283MbeGMsXbG2IPu9jmMsanp3mJjUCeiIoecmHiK4E+W7XSUjDHscAXdvGGAMYbPuFEKI/mjaFa/AWD6J07wzHVHVkmrIU9SaiE6JDGgXfkR3yxIPb5scxTKNjraTBgsmSO96HBkXyHDjVApmwCKvrMe8+M3JD9Cm/OqE1xh+pxGxDtZINE9AnnCUzUCo7tZPIfTf/gMpk6fiR8+trRmGcLGvyiDnDpxfnien/e2v1gOjX4rNBcfOX6St01+XvJ5dVoO4VMrD/ptplExIZG/R/XxqoZuNXvSqHZ84BhnAq6mYIpiml5yJzc6TW0U0g4UVY04kxLRrg4dU+kz6e1jOCl9ktyBfKxdRVP7mdMn46eXnIqvfOjowHZhRlttAlnrtjnnnom9Y36sT+kTK/oxc97BN9YEg7ktuvrjuOULf+Kds2zb2LS3Hzt6gotsUSfhwrdv8tjOilzdKnLwFDOu+XHIWBWGum8cbcjybT0V/WnUQFGmoqnVvV/XzVyGj930MjbvGwjGFZBM0GWq5akVgn5iTa1tY19/yXP5qbhOTEFHFwRQtGsx7sqL4Wo/XS0wn+oHH4baBjpcoVaMTdU04GHUakY6obYjX5/QxznH8m09oWUQ869bvnA6llxzfmCfnGnUrdmMu4Axst1Eb5Vc91EQz1F9ZnLKriQWe8WyjWsfX4p3lfocLFp1uf3IyMqCorJgIhQc7TnDc7/oyJuBBZc0hHUiGVF6grsBXKDZfhPnfJr75nCmEgAAIABJREFU/wkAYIydCOBSACe5x9zKGBOt7DYAVwA4zv0vznk5gL2c82MB3ATghjrvpakQA8E3zjsOgK/NE4OACJhjc8e/SNZgiVyyYmWrmgbmvd97Ct9/dDFsOzwvo0jV8+UPHKXfAbIzfPXO5pWVOz1BY9FmJwS+bGaivtTdAyX0DJbQZhqwOXDLrFV1vfh9hbI2+IEou5w2RoyNYr84k3151+6BEj4qmVerCE3tdy50zKLOmjo+dN9aDJYrg2yFkasilAnzUXHPQpv+m9fW1izDqJA8kVEWItQ2+saaPZg6fSbue2M9+grW/2fvu8PtqMr132l7n31qTs5J7yEkBAg1hB5aKIoVQcDrBcWCigX0p4INvcq13Gu/V6+KDa/XckXFqyJSlCYtNEMnhAAhIfUkp5+998z8/pj5ZtasWWtmTdkSMe/z5Mk5e+8za2b2rLW+8n7vJ+1BSc/dEQv78KHTvB6K7LWxQjwiQ7jiO7Wsk2nqWqJTW0amltReWRhaWG9VyyVc4sAS0I9VjdwyosQuXKlqKossdWU0D/94yUrc9ZGThJ/Rgkxt/muIGsjyDLGuazhr+ZyYIRy05lLsKy7ChoExvP1H9wKQ199lydS6vuCVqJ6rq80KrsEyPEXlYz7/J6y44sbI51Trd0lc6/ZLT8TXz/WcZdkzxaqWs73PlejHdjanlncEldRZ/dMeqdvxPrUpUlE0/3Sdpx/H78Xtftuz4fFm5F7RPhoXipKPHez3Bafx1qEJjDVszJxUE74fqalVCCOxz6rtuLj3mR14eOMggHBvYK+dn3dJ5R5JAoMs+LlatTxFYFr3k+6rDGlzWeQod1bNGHtLBf9917M49Su34I6nouJ7NDfpOTMNPVYLXUTYMGumtqtqJbY0U4HMqZ3SVcWDl58CU/cozp/8zcNYw7VRUsG1D23Clbc9HdiDhLGGLVx//vSYuigV62zTsy1yailoXTWj+h17MrUvPlJ3INd1bwGg2s341QB+6rruhOu6TwNYC2CFpmkzAHS7rnuH61ktVwF4DfM3P/R//gWAkzSZNfJ3BFqrV/oZKJogQQ0K06KDj6bRYirrj8VirGHjqjueweB4I7IIt1l6UCdLWDK9S3ocMuiSxrp97Tb883fvjr3eyzi1TcfF6vXh4/KxXz8UaX8DAFffuwFZce1DL+D5nWM4ed9pmDO5PfKeZegRhV6614HwRgYfmjWq73t2Z+S995+8GJM74iJVU7vacMyi/kKZMjbbKzIAyBBzkSxWwQpFZXUQumtiZ0alR57s2n9+z3MYqzcjx470bWQ2BMqURXo8c7RiHpaho2JEW6c0bDeWMYrQj3WtsFKw6J7oepiR4OeeChq+sc9Hm9Xbv5STqe3tEAcgWGTJHNBX3NVmYVq3OFtLNbVl0Y+TamploGcxKeiWdo/Xbw/7IuqSlj6qmdqdo3U8u2PUr6lN/qxHUWT7hMcdrDQ4brjnTPJpyIMSA/6gOb1489Hz8e9nHRihuSpnajNs8fy8V2ox5l+/1/Yl+l5CshRAKDpk6FHDXPSV0X5eNfXIs8sq67JI6lNLHy0S2AFCEcBZvWKnNuJsKAzFiwC+7pt34G6/BRy1tGL3o1gQQdMSNCCYcRQytT96ywq85qCZnvqx7QR7fdJ9lUE0B//3HUcGP4ue5a42M6ChZsGDz3m2xHNcJws6h6SaYNPIT3nO7NS25XPaWdD0FM3xnpoXiHtqyzB+8Jf1uOTnD2Q+/hM+3Z80ED71qv0AyJ3aN//gHuVji2wPkVNLz0abZURCZGX3MN6D7EgPycvxbk3TzgOwGsAHXNcdADALwJ3MZzb4rzX8n/nX4f//HAC4rtvUNG0XgD4AYi33vxOwixVlIYBwE2w4ntOxcedYjBZMxr0RZBrTx9s2XMcrDpgR/P7g5afEPjOlMy7nTjCY1iky8LQ2AuvoNW0HZ3/7zthn2MUmTzBrzM/EfvaMZbAMHXdcdmIQwTf0aCaDHI489GPZJ797/nKcuM9UzOhpC1r3sOp+lqFhcDy/p8Se/4evTm4NZEiEI+57diD4/hxfoTkLuqoWgLgqYZ5MLaGvs4KHNtqRLHBPzQrYA6wxIurTyEZOLYE1aplarLfe0HgjtrmxAR+vxqvY5jMhydQSNbImqWdLgu24qFlGpB0Q8DfO1Lpq9Y5Z6GMqMUoNfqa2AAE5Tj/OZtBpmlfKkERvTQtcsevnrU9uw61PxrcxL1ObPqcO+pfrAYTBsyRYhh6Z75E5pJiptZ0wECALPhAMXcPlr/SMSTazxD+7snGyZWrDzxq6mpBNUt/stOcxrKnVI2OLvnvaaygbuWrpVNyzfoChH3M1tYnqx3S+iaeXimf8wMosSaaWPSeVtYXP1LJoCDK1/BQ2NLmjHlEsT5h3dN+O3XsKjt17Ci6/5qGAfpwnS8uPTTiMYVuJHKTOqonxhoOG7WSiPNO18dRvurdJ88HrhpH+PYnW/6xU8642C6N12+udmyNQALCaAuL3TUMLqMNJJSkyPLXFe77pOaa16siFfUpBtSREguMUMOFqaqumEdzXqqlHHndVVswetA55n4BvAtgLwEEANgH4ov+6aAa5Ca8n/U0Mmqa9XdO01Zqmrd66dWu2M/4bg93UWLpjUINiO7jqjmfw5JZhrNs6EmlTQ3QuWhRkGwIfsT56USioUTWNWMaHV7ZkoVJTOzAijlDWKgY+/er9/HNyhZsFmynL01OOWgiQYzOjpxb0XOPpOUGmlq4pJ/2YxaR2C5oWFfHpYOomLUMvVC/M0lmveWBjwiflaohnfOMvwc+242JwLFvEVaaWqVJDJHtuapbhZf8YARqWiswbrEDUuGmmZGorhuG3PAj/ZsWCyTEKL2ugqBoJSaB5zNaTG4wyZp5MrWdIiNWPVVBGOY/jpvfxBLJt3qrqx8WFosKfk4SikmCl1K+lURZVxLoqhp7a+mH78ETws6ZpqYFAL5sTnvd7fhIKk2Wp36U1c3oGY5NdB1UCGOw4KmAN/o6KoRhkC3/mnykSaZSBrallz1P03dK5NGwHTdvFXlM6Mbu3FnyWvx1JjhCNVTTgRj3bZQ5DWvaZh808V/yzxLb3I/CBKT2h3COa3ZafA+/0UT/VetPxHJkctyztPoscJJW2XyKQDcIf0pYIYbEwDbGKOg8RbTirKjQlWPJSkB98bmfgsBqahu+ctzz2mYqh41k/Y73XlM7Y+2l43M/Ubvd1aSZ3VPCn/3c8vnDmAUpBtSSIMrU0L9lMLZkiVcuIPHuOW45g4x7kR64nwHXdza7r2q7rOgC+A2CF/9YGAHOYj84GsNF/fbbg9cjfaJpmAuiBhO7suu63Xddd7rru8ilTpog+stvAZZxaXdeCRS3I1Noubnh0MwCvdvPnF4a0F9r4gppQySRhxZEmd1SCzVgGXryGBY2VtHhu2iXuLVYx9SCqN1a34brAm46aH/sMIc+cJ4ONrd8iGJyzQ5SoPMIbMgeOAgSsw8EacLwCb1akNVdnjSNZppaF7bgYVBB8mMtQuXm1QoKSUys5HbonbNP3LmYcQ+DUskGIKP04vlz1tltBTa2pa3jX8Xuhr7Mar6llM7Va8Y2H7snyeWFkn1XGrFWyL63Ur5Cfx2nPBqEU+jHUHJMsNCsVu0rXvLHLUz+WawwkwTSSlUbpsbnv4ycHbR1YqKwBKjW1JCQIhMrQSTD1aGDn92teCH7OQl8ndpBKXTWhnfmsSp9GUclNEliGRmfVzEQ/BuL3bqNkHyNQOU1XmxlxCkTfATm1J37xZtRtB5qm+a2cxJnapIwcvVPUJqZ1X9an1ki5Jh4RajF360U1tfwhSQROhKgooPx75YMBFdMLItebDiqmnovhIXuMSNlWmKn138tK0WWfh1/f/zx+7ncHCDK1CcEOU1Fxme8BD2QXiurKeX2EV//n7UEXDEPXcPK+02KfYYPTrOinCgbHG3h6m5eppcBfzTKwoL8DbZZRQqY2nhwxOae2YuphptaIP3tl9zHeg2zI9QT4NbKE1wIgZeTfADjHVzReAE8Q6m7XdTcBGNI07Qi/XvY8ANcwf3O+//OZAG5yixaV7AYI6gp8dV7a7Imu1HScSB0lu4DGamq529G0HWwfnohk96an0MXSoJKp3bhLTD+uGCFNa2iCNlQj9hkCK+qkCjJkROqRPC01VlOb4Wkak5wbObOyXr9WijGcOm4GqrBKA3gvU5vu1F538cqAJSBTy1SpqZU5iev9+i6WJdDdJq6v1QRBCPaeiqLOkzoqQT9Btok9z1JgjSKVoEAayNGsRjLA4XHzZWpdmAL14xHF+VIW/VjFDsqmfqxAPy69T22BTG2CcU332NA0YdZtVEEJ3VSoqWXnd1Kmi2AlZHNUjSyPfpz9nnUya30aK8Z13aCnuirYz3ZUTaV1llUx5S9/487kFmwL+jvw2/ccg2MW9Ue+Y9F3wAf8DN0LQNoSpzYJWrBfqX1fruviO7esi7WUG56woWnyvYp1dFSGYu83/4zROtB0HGm5T1IQkV/rJ3dU8KO3rIh9LpapNQw0HRfjfh1lHtanbK2hll8ip5b2rmO/8Cf88eEXYu9Lx2Joxhf/7AF8yC9hUqupVStXkOk8ZEF3QaeWoGnh88zbFdE5le24m5i5S4E/lvmnIlSXBFE7QZovQxOUqTWC10TP0B6xqBcXqeFYTdN+AuB4AP2apm0AcDmA4zVNOwieHbEewIUA4Lruw5qm/RzAIwCaAC5yXZdm2jvhKSnXAFzr/wOA7wL4kaZpa+FlaM8p48JebLB0E0NjMrWNkK7DOjKs00eGfpBp5CbJR361Bj9fvQE3fuC44LUkutgN718pFfwgGIxjIINsoaO2KoCnAgnEo8QVxslQMfx40MYqqp/hN7zQqfV+z7LIjEjOLczUylvTFGkonqUtkKHrSpnay365JvVYtYoR1LeyTcRZqND9ZM/N2i3DAOK9hQlsO5Bgo2CGY++paIzedgujDFWKsrn85sYaeDozH/OCAkpsVpXN0GStqb3jqe14fPMQFk3rjD1jIxN/w0ytMv1YfSwVuz6NlaICh8vOZRWKAtKzImy9WEWwFsnWDxYqmVr2Phi6lup8JPapVVyXPGcz/P26i1cqBWfamWc9jQGhYsQnobejohSsYy+ZnxdsFlyG/Wf1AIga4KJL479HXfPa8/HKqSowJUFsGR7fPIQrfv8obn5iK/77rYcHrw+PN1A1dSnjInOmlqUfc59nM7WW4SkS84dMVj+OjqNrGuZN7oh9jn9eaH0fGm8WyNTKnFoLz+4Qr3Gd1XDv+uIfn8Apgr6yIgSKwJGAghtTPxbB1DWlPbjejJ9v1nlG2hdDBdv6sNd5+6UnRjQvonMq2/fGOvdkR7J7sMypVa2BZvUHgoCVfyl0TyqM4rHtujC5edZwHNRQrLXQHuSHivrxua7rznBd13Jdd7brut91XfefXddd5rruAa7rvsrPxNLnr3Bddy/XdZe4rnst8/pq13X39997N2VjXdcdd133LNd1F7muu8J13XWtudS/LSjaqvn0Y9rsqXVLw07P1IaRz+ixqeclu7knObWLpnbhkLm9iedLi1+SUdK0HSyf14u/fjIqQuXRj6mY3ndqK7xTy2Zq8zi1ji+6lcGpzVGjxJ7bvR9bFfxMtRqymg3L1IO63zxQzdS6LmDpcVVVPrpvuy7W+TSdA+dMUjr2fjPFTq0K/TjtHvcxNeNd0ppa7387Er1nNhnBPZpUq0Q2K3oOE1v66PK+iaqgqDgbJWYzwFkzted+xxNXE7X0kdVvxb7zMjK1UBWKUg/gqBj29JGtKfWOiWAuP49QFEBlBApOLdfDlDCaUItG80u1fCA8p/S+yqI1gaDKIHG4TO2S6V2Y29ee8Bce2LU+1VmXtPtQxdSuqpKBn3R/L1m1WHk8NojKfwe3PhnX9dA0DRUjFLNKKvnhodpWj0DOOf+9j0zYiaVIWZ1aVjiNv/f0e9N3aoF4eauWEER0ubXe0NVKjKhl2q6xBqqmkatsQfaMHDjb2y9FDiEr6rlhYDT2vnws73/Wftk11gi+67RMrUpvZtH8z5qpJdXz7QqBnySw43ZWzZioJiHrniVKWLPPuizpsEshEAaE5RPtFSO4n2QrrNs64o8R0o8dJ64DoVKCsQetQ7Fc/R5IwdLUDF2QqXXciLNQ4WiMgLylDxkebAZnRkH6cbChJiwyFO3ie45WzZB+HDi1sUytHigyJxl+MrCbJg/+9aDAvyD9uI/JLlImXUbpqrSwpvY1B82M/E49KVnwhiv7zCxKEWP4rzcegvedtLfUECpqRAJR5W2WrmiK6McRsQa5QQV4m7DFBoT8VNPLl0Uj6LxTWyRT27AdvO+nXisCdhM19NCwyFNT6x1DjwVOZKId/D0vw6l1HLXMatmtC8hIkJU4qIA9I+86sjtOaaIsbFmJyIBKytR+/82H4crzlmNyRyWVThihHydkutjzJoGg+Dkr0o/dbKrEBLbUJO086bLzBBwAv5ZSYZ1N6n/6Pr93vAqSskqi9naGpkX2xyyiiCpt9ViQEGBH1YyU9AxPNNEmMe6B7EJRbKb2yc3DkffqjOFP588H2wxNzjRgx2/4tdaifZ4vMSL7YmC0joqhR9asRzcNJl+QDxnN+2OvWIorz1uOA2bHg8GsKNpI3Q7qO9NAdHj2GdowMIadvrMlK/0BvICVrUA/FtkfWWtqF/Z3QtOAx32xp7xIGjeN0p8E0brJBo5k9pmqU0vHb2cE6XibuLtmRcr1+CtQVZvfg9Zgj1PbIgROra75NVHeIkpZl6btSOnHZIxpWrQdEEEPHMhwok7LIY3OwhT0COXRsF2xAq2pB39PFOWOSrymtqdmob+zgtGMrWYAz6ERjQ0Aa57fFfsskJ1+fPKXbsavJcrDQaZWSj+WZ0pUIHNqu9pMfOWcg6NjmfGxeEPPdlxUTB0XHrcwVYzhtP1n4JKTF0sN2iLqxwQ2UysK4AAQ1qmQQWXoWpB5vuK1+2OvKR3BcVkaKD0j+0zvxhfPOjB4PdLSR6FGUYYdI3X89q8bA0eTNVrZ42Zp9/CbB8NnzhQ4SzKnlt1s5/e1466nd2TKHgCk2hp+vy7coCdyErKoH6vcarKBNu5MFvFJQlT9uMX0Y00TsjaSAnZ9HVWs2nda5kythvR7mNR+Q9XIyqsYzQYwU69LogKrCtXgYUTFtIAqvZnRANe1qIOShbGh0laPBQlC3fTYFuz7ieuC14cnmonONPsdq9Tv0vloGnDzE9HsdN12fBotk6nlDqlr8nsXqaltOtB1Tdi6jd+bSNBo+0gdFVPHv7x6/+C9l3311tRrAuSMsappYJVA4AhALPB721q1zpO0pLDf7bbhiYCZwgop8jAUhaJEwZ6sQapaxcCCvo7iTm1K5pmQlX4c7q/h8dsYe0ImFKWqVh2WDxlBooA/x+42E6880Es0HLWoP56pLVJC47j46d3PFlqzVDFabxbuib07Yo9T2yLQs6KTUJTj4LkdY0Ekv267Qf0pIDdKDIEBTusFWyc7uT29l2ESVDO1okXDMkL68ZCkppYMwPaKmTNTKx5bhEPneVTroEWM4sR9csuw9L20TK1ZMFMrq6nltwYXbqD2y6LBLYJNx0W96aBq6MqGqmwjUmqhkXCPj18yJeKosefDCn+JmAl0T9nXDl/Qhx+/9Qh8/nXLMKOnFnWSuX604TgszTk98yXD8s9cj0t+9mDwO3tdpq4HRnsWp/a9P7k/+NlxXWX6MV3DZS/bJxDk+uafn1IeFwD2/ui1OP1rtwW/u65apjaLKJrKxknPhExhXWkcJmZejH6c3tJHlwjxJGVq6RHkW5CJwAYNdE1LvYdWghGp3NLHyRcIYDMlqs56PkEqM5UeHozD3K+s/bpZsAEzlSVD17WIinxaRwIWKmKNLJJqi2XBVyBPptZFZ9XE7N4aHnshmgV1XW+vsR0X+0zvAoCY4q2eEMSJqh97TAER/Zin55J9scN3aqd1t+Gyl+2TfjEMBkaz143yc15UEiMCrRtsxrXedJScWpUafDoejzzMi/n9HXguY3CUR9KwlQL0Y/o8sSEMXeP2fPHAqi2KKHjQbpmoNx3c+8yOiJI84NkYh82fjPWfOx2Lp3UF+w7ZiEVYTL95cCMu/eUafOPPa3MfQwXP7RjFvp+4Dv9917MtHefFwB6ntkUI+9RSDRXw4IadALw2KqP1ZuCYvPfERdLj6IIehbRQscJNsnYsqgg3VLlB10zI1AZCUX72uF2QqaXXc9XUNsVj87jtwyfgLccsAMCq6WYeLgZaOKU1tb6xlTfyJaPUiSiUIsOb//tAndcypA7cGq42Wp6pTf++kjan/3fKksix6Zoqpo5+ZjOnS2UPRfRj9tQsQ8P0njacfdhcAFEDjjXuWcOZvY+qkW8R+MuMZGr1cEPL4tSyaDouKoaO/s5KsC7IhKKCdhDMNedpZk99/wC/T23JLX1UM1wAsKkA/ZgdJqvCLsFMYVywNaEix0Gmnr7mk6cE95WEn5Lqutll2AvCpJ13QqZWMdhmO/nox11VE+89cRH6O6up37UjeGZVcN3FK/HnDx4ftHJJA3tvh8ebuWt4s1IldU2LZGqJBjxTYV6GgWW172tgVF73mJSpzd7Sx2NJdVRM7BQ4gvWmg6bj9eh96FOn4uzD5kTeTwrKsC83bAeGpgk7HPBzmVpO2U4YBEyaAyIk3T8Z+Dmv0m7Ndlzc9fR2ANFgYMN2A6e2r0Pu1PI9qGUQBXvyPPdmQhBCFUlrL/v95s3UHjx3UuT3NKiKLUYztY6wxIDHnF5Pd2Cpr5lQpKUPPZMDBWua0/DTezxn9v5nB1o6zouBPU5ti8DW1Oq6N3mp0HzpjK7gof2XV++H95+yRHoc+lsWZByRGtshcycFkzwv0kQq1m4ZxuObh4JN/vZLTwzeY1v6UPZZFqFurxi5Gns3HDX1utm97cH9kbUYEIHdNE5YMgWPffo04edkEfCKgnp0EtKyD2G7B799B/d53tCjzbZiyJWSu7jaaFn2REXeP2lz6ahG+z3STyv37o/0wxRl1gdG6jHFa/45qHL1sgTZ9Rha/kwtD/Y5Z1stiVS6VdCwPQre6o+djHNWeE67aL7YjhsIUrD3dmpXsTIEQC1bl0ZpjfaMTT8eUZ6LtJJgx9w6NJFLwdPUk7MijuMG7SpEjsONj24R/l1EzEyBFcM6NprC85oU8MvSpzZPBlXTNLz/lCVYOqMrtVadrjmrKuuS6V3o76wKWSoisOvRwGg9V4stgKMfs8+05Lvj6cdtfm399e8/Dvd9/OTksTJmapNUnKsJ18uulypDNfxWY7WKIXRqG7YTBEQ6q2YsKMZ2f+ARbenj048V1k5236Dryfrk5nJquTnPtlWU4Zt/Xhvs77YTtkxr2A62Do+jt91KbEVj6GrtAoU1tTmc2rwt7yKdChLOl9XAyJyp9Z+XC4/bK9IaMA3K9GM7rKmdaDpBAiZpvVq5eAp++a6jgmRKkS4YdDvyBGSzYPOgF0zpLcjw3B2xx6ltEcLWD1pAId4y5C1gHRUzoA6nNblPoh+TAfj1NxySOzNESBOpWPWlmwGExtmsSbXgPcsIKSBDglpDILwfs3vb8eyO7NSWhi0XilqxYLLw9aReYjxYA6GnZkmdcnmfWt0/z3wLmkrdKjtW03EjhhU/Li3GFVNXduBkG+CWofTsWdLm1Fk1oxQh/3uZxomb0fdFx9oyOI4f3fmMlwFnPscb8Ox3xdfOilBGn1oCS4n35qoTO48sYI0B+j5EfZ0bthNmagvOfRaOIv04zVGKZk3T73VO3aAI+FH++MjmzMdIq9lk605FAa4hifEUpb/r/rHk9yXa0ied+ppUB61MP87p1BJ0LV1VnN0X86DiZ9LTGDHsNa9+ZiATDZgfj8COKXPSdC1KP6b1oaNqYnJHsgGpUgLEYvuw3ClLMsJZB0qpptZ2YBka2isGdjCOILGxvEytIx1TT2AasK/fuW4HADWmCFveRNczrsAoYpEnG8aXQKlkalnNj6YTzjGiHydRjwFPJEtlDpchFAWoCdOJxw//Jum+sGyqrOYSy0666yOrcOdlJyn9nTL92D8+q34MxMvpeBwyt7dwYgNgy1ta69TSs1+kNGN3xR6ntkVgH07dV1vdMjSBad1tEaM8zakV1aPQQhVkRQs2nGaPmTYhRVFUTQujq7JMLR12rymd2DAwhh/f9UymYnjaWEX4+YVHYq8pHbFoZ6imm378rcNhK5F25jthnXcgdGqpbpcQOLWCXnEqkBnSorUtGIutz+H+nharihlXSpZBtoxSVC8JSRmarjaTy6AiOLfI+FwQgq0ZZw/PGxbVSE0t6zyIz8ebj9LTlULUboY1znVBpvaIhZPx1mMWxOj4MrAZOrpnwwLqVMN2Ir0Pv3rOQf7fF3PWXVcuFMXe57RoNHsdWWpqAY/OmgvcMC/fX62HJAtTwIJgYbtusFbKAlwisM+/WqY2fE/FwEn6PtSd2vytdgCftqjobOYxtgFvzaA6zsRxmPPYMVLPpELMIko/Zo4vy9TqUfpxFgVuFbFGFkmZRlFGlRDN1KrQj73Sn5pfZ0ggZ2yiGWZqRdA1eWabf31tgq4FC7a1Du0HWXq9A/lqavlgjIojzX6ftk+xBrw9W8WpNVIU2Qll1dSKSt5UwI6fND+L9Kll2Um1ipHYypJF1kxtrWJGbCqVaRwIvRWoqQ2FCHMfQgkUnMo6Z/4ekNN62IM00HPt1YhosG0XWwbHMaWrGsladaZQKET1KLRRkopw1loSEWTtg3jIxqINOVSFjRrx/b767aKpXnuZj/7qIfS2V/DyZTOUzs/rUyu/zusuXhnL1GShHw+MhBscS1W79uJjIwuipmn4/XuPxZzJUWeXnBgVapwIvNBTMB73PztWw3ZB9j/vTNNiVTF05fY1soUW5bLKAAAgAElEQVR7y2B6pjYpQ1M1o5FmGofPdAX04+BWiI/JZ0HZZ419RmQGpZFgZCXhsCtuSHyfrUUydB2Pffo0mLqGf//jE8obHdvCiIwfUUahYbsRKudRe/UDSK6JV4EL+Ya6oL8Dj/mqmGl9E52IA5A+LvsddtcsacYzCXxzhc+97oDMxzANPVHsiejHALB8/mRcedvTSsfla7qB5H6GTlanVtFBlmF4oom1W4YDsZ880BVq1QOhqII1rtReLm0cAt3zrNcnU2qV3VNdQ2pGVoYsfWr/8NAmbNwpX5d3Jji80Uxt+nk1bAeWrscCczN62vDM9lHctnabT1GWM2Nke3DeKhC2NzJdTxatjqbtKLd5kcHQNSX6MfssNh3XEzC0/Uzt8AQOndsr/2NQD2qVTG38M7nox1o+BV9V24cNPOelH2e9rqQ1nTBWt/HJ/3sEANBuGZFSGFqr+zvlczsMVpZAP/5bZWpfgk7tnkxtixBkanW/1YefqZ3a1RahX3RVkwWeRD01aUITxSNrfZIIpmI7AZkCMTlaW/xsFmukfvDUJdhvZg8A4Mi9+oLXs2Q6GrYbqcXgYRp6zMjJon7MUjzZ29ndZmFGT9SB3Xdmd6wetSj9WJ6p9U7mjENm4ciFfXjHcXsFY7HZmVimlqUfF8zebRmaSD2GyHH+wusOwOELJkPzezUTaPPlv3/6+uj7kj2LPP2YPQ6bzf9b0I9Z6Fpo1Ju6hjbL8J9LtUg7EP1OyfDfNjwRy2o3bSfYaA1dU8r+qcBxEYtunHHILHz57APxnfOWC89TBPZ6VeYf29d3Uns+0Tt+mDwUcEtPFmVxmF6up+0/Hd89f7n0szKYhtj4uemxzbjBp0xHM7Xpx0zurZt+/z989V8BAJsVAlgypNWq37N+B359//PBZ/NAlRHDn4ftuPjjJSvxswuPzDheeJ7sGnjed+8Sfl7XNEzrTs68yaDap/a+Zwfwjv++D88ntL/akeTUZsyUkUAk69QeubAP5/o1/5f9cg2AMFPFI6mFWl5tA0PXguAzBUeTqJRbhsaxbmuYBS7q0AJeaxcV+jHr+F7/yObgd9VMrZmgi8GCbIgl08LATa5MbW76sdoexz5/WfvFs60ys0AlU8tSlGsVIxaMuPVDJ+D6S46T/r1ZBv3Yvx95eqxnAZXb5Wmvubtjj1PbIrD9DA3dqzXaNjyB/q5KxNhK6yFKPW6jr3n/04JahDJGMAzKkqVkapmxPv+6ZXiV36+LItprtwzjsPm9EVr1coaqO7mjgh+/9XAA2aJ0XrQ423WSU6MyDLsh5llQijq1UvVj//9J7RX85O1HYHpPWzAW+zc89WiUoR9TAPcrZx8UvH/s3v2CsaLX/euLjsbFq/ZG03ETqW53rduOPz22Nfb66w+bExiR7HND9cO86Abdd9royEH8xCv2jXyO72MYydSyNa4y+nEOoSgRhZbvxcw6y1G6qQ7HVcsOi2pqm46LPi77U7edwJExDS2Yv0Wd9cGxRuy6vvT6g/Dag2ejvzM0vtKySaxzpEI/ZtkRPTmV3PlLz7MsptKPnahDdtLSafg493weOLsHB8zukR5Dxoq54Aer8darVsfeU1nf+XM+Zd9p+NfXLvOOpXD/n/VbQm0voLppGMnBogt/dC++eP0T3mfz1tSa8bVPBP5t23GxeFpX5mcrSpUMX7/v2Z3Cz+u6luqkyKCqfqzikCVlECsZhaK8elk90rrp46/YN5ItBeRiZR7bTHzsIoJ9xHKjekdSoRVhxRU34sQv3hz8TvvZFa/dH799zzG5xu+pWUqZWlav466nd0TOYbzhpDu1erIiO4E+84t3hoGbPBk/ldp4EVTLySLq2xnHySs0p+LUss8iz0qwHRdzJrejN4GFkYVpIT2HwH7IfYhUTDTtoLRrfE+mdg9UwdIkDF3D8EQTDdvFpFolYni3V1KEovS4UUgLVbmZWsWaWmZDPPuwufjauQfHzuH4JVOlfwOE9KwsG1ozQShKBlrPVQx9loaR527SNWbp38miLsk8jAhEglj6MYHf9NhM7QlLpgAAls7oDt7/0VsOTz2ng+ZMwoL+DgDJ9Udnf/vOxKwBEN3IqEUQn/UPhL2caKZ2fn/UWOGpi5FMLauy7B+Pr8XOk6kV1ahd/a6jYscVbbpk7KUpBvOfYY/BqxQ2bTfS8zOrcqoIruviqS3DQYkAD9ZoTbuWVV+6JfhZ5ZRqzDrY3ZY3UxvNbuYJTpmGnnhtjuvGaPq8LW/oWqIxmbWmVkWhkl0LvvT6A/Ht85YHrBgVSnp3zbv/qrVnIohEDVmwxn1up1YQ0BOBP4+8zpOVMauka8k9YpOgPIcVLuUdx+0lfS+rUJQn0hjN1LZZeow9klRTK1c/Th0enztjmfB1ehY6/cTA21cuxKxJtZgOhgi0n83pbcf+s7wAVFaF7O6apZSplbXEe37A2zPTM7Vq+xXNCZHSehYkqVUnQTWgz4piZt2vQqcvmy2oQj9mnXLeqVVhWgUMut2Qfmw7Lj577aO4/pHNuOb+jQA8u2i0kX+9312xx6ltESJCUZoWRAa7a2bEyGYFLDxjKHocEXWHnndaHErJ1AYbavKElGVL2YWU75kbc14yUiWvvHUd7l6/Q6lPrWgclY27qApcJXA0sy9oa7cM4+r7NgjfE0WCQwpe+B6N+8FTvfZQv/JpflVTxxmHzMZfP3kKlqTUk/V2hN8b3Tvqn5fUPkIFrIMRZmolNbX+10XPYlItNX8cdi6Qk8wrF+ZxakVOO39euqYFfWJZwzZwYjK2ZWA3tj6ulme8aQeGh6lrmeeUCOu3j2Jooom9JU6tZej44yUrvXGy9KnNmKlN0xmQgR0lr1FgpdSFsvRjAv+7qeuJwiJGiiDQyEQz2D/edNR8fF5QG8xn7llDioKmoZq4/FwIFEhQ7ecogqhUJumzeWCZ/jqbkhWK049zDRdxClSySkWMUdU5zNeO83jbsQtw6cv2kb5fkWSfZWg6DgxdiwTgO6smFk7piHwuX01t9HXR2vOqg2YK/5ZuNa3vhq5h5eJ+pdpO2s8owP69Ny0P1jZVdFbV6McN28XRi/pirz+9zWvxOLMn2QmnNmNpdgxR8tnvN0/tepJadRJUOzhQAA3IHmwK1I8VgoaRc1P4nth5xwemVO5HGXuw3SL68dPbhvGtm9fhbVetxprnd6GnZuGUfafvqandA3WEERdvku3whYh6albEGGapkw998lQ89KlTI8fRBVEzNlObNyPBQzVTKxWKYhxOnuIlq3VVcSyatoPP/O5RAPJ6Xhny0o/zpGqL0I/P/156g2/RWKwhS1HGw+ZH2xtRFlMl+9XVZuHej60CEN5rcnSzOrW8wUM4aM6k4Fz5mlo+s87WpxK+96Z4DWNU/Tje0odXGM9ifBNELQFEGeDvvekw/McbDkYPUxdK56TiCB6+IDR+WMOfF5/ZNlQPjufV1Korpz70/C5sGRyPGEm3r92GE/79zwCAeX3i7w4I2zBlec6VamqZdTBLrT3gORuv++ZfcOOjYQufvM6FaeipSsK8Q3byvlGVZSo3kY6RstZu3DkWvPeO4/aKUd6+9PoD8euLjo68xj5bFHgMKenp31WXH0jI00Oc4NEW5e+zAdy830/F8J6TNAOanwd5BdRYp4Ce46TvlozttxyzAO88Xp4tFUF1DidNp6+cfRA+evq+8g8gai+o19RGhaLaqyZm97bjhveHNYayQIWW8Fywlzqvrx3XM8cjtEky37xTC/gOoMLaREJaVL9/4j7TMGeynL4sQptlKKsfz57UHtsv1m31nNq0cVVtM09MU4s8s/nUj/MJKaruCRevWoyr33kUls3qyS4U5T9IRkKCQ5T8UDk39rlJ6hssg1WG+nELtD6AaMlCvemgZhmoVQyM1W384aFNeOsPV79kHNw96sctAltbp+tasIh2t1mRScc6ajVB2w+RgUQL1VjDTs1iqSKLoykCW+dITu2Uriq2Dk3EFhm+H2kSXmBq87JmavPSj/PQx8wCTi1PT+pu8/oYX/7KfSPCWoSgppahLFN0mqdQkRGoCorGn7CPR1mmTG2WRvX7TO/CHy6OR71v/uDx6O+s4lJfWCQmFMW19BHVp4poR3KhKO//mFObQpMEvA3u7qd34KhFXu2xKCLPB3gMXcPkjgpecUA0s2BJhIF4zOxpi2RYWHtkKkdR2zI0HjgiphEyPFSixK/4+m3oqBh48PJTgtfuWrc9+DmpJ5+VRwxDiX7MUCLVjwzAWwfvfWYA9z4zELyWd1m0DC2iQM3Dox9H16HpPW34yduOwLnfuROAX5eb5PiksGIe2rgLH/nVmshnWZxxyOzYa+zaSEZtSGeVnkqAtD6MKmDVv0WoWUbAPMmbqW33qaai3s0sREJRecCeJh0jKSBGjwZfZ60C1UxP0ttZWxepZWpdtFmcU+vvM+x6K8/Uip3nHSN1fOWGJ4LfZarRadlGtrY3rSY+HLuROKYK2ixdqaaWWiIZelTFeKxhwzK0WL92HrTP2I6LJIa0SBE8F/04R9AXUK+p7e+sor+zmrm13u/+ugn/c/dzAJKvy9J1jCN6LirZe/YzeUQGVdmOSSD7USUwkwWsUzs43kDVn89jDRtrtwzjhkc3l8L43B2wJ1PbIlDtlaZpMLTQyOmuWVHDO+VBMgRUEC3I1DqlPYiq6seyyC5rVHX7xvbBcyYBiEeWszjQz+0IaZ9ZFxpykpTox3Ubhq7hbccuwIUrF2Yaxzs3byxZbSwArNmwK7ZY/fr+57Ft2HMYe2oWHvv0aZjtC14snzcZ+0zvjh3HElCdabPkjZqsEcdaxcBNHzgOX3q9JypFkewsmVrZmPP6OtBRNQMqEO/U8uqB1DbGTKkRYp2MSJBH4tTqKZm03/51I9521Wq84cq78JentgGQ0MBTaKj86/zc+uzvH8WFP1od/D63rz3yjLPXdei8aAZ+y9AE04heh0atwxQ31JG6HVXYZc49qacu3d+71m3Hu358r1JkWWWes4yVrPaUyACT9dpNg0f1S6ip5YSiCNE+zFqigZeWebl2zQuxz6bh8lfuF/xMt0PXshtZKvWIMrB9mkVgA1J5hVBoLqfRpHnHJm8CxIhkNb3/k57nIvRjM8Uo/stT23D9I5sTs6tZA7Iqe2PTb6fHKv4HgZOIMF+C+rFgnFuf3IprHwqfdZXacRY0x1mxTSulJp6wc7SOiqlnrqNl0WYZSvRjT2hLEyYgZk6qpdpwov1ehImmE8sG5xWKyhMEyqonotpab+vQBLYNT+Ci/7kPDz63MzhH6XG5e2AZyesxgdaMS1+2T75MrUDrJCuIgVK0iwGPwbEwCLh1aAJV0xN+G63bGGt4ti//7Py9Yo9T2yI4rhtMPHbR4unHadC0uNFGhxv3HbEyoOpoyhYhEf34S2cfhK+cfVBMeEa1dQEAPDcwGvyc1amljVeVftzbbuGjp++bK2tREVCCWazdMoRX/sdt+MJ1j0dev/hnDwQ/N20HbZYRqALLoosiqjMt2nx/4DyL88IpncFx2iwDHRUjm1Ob8j3RdfEGWBBY8d8Pa2rV6VTswkwGR6ymNkUI493/cz/+9Lin5rzVb1ElEvuIZWolGy2xGHij5Fu3rMN1D4eU2ST78oiFoVPbXjGwZXAizGQz60yWzZD9LHuPkww9ur9/enwrfr/mhcTWIQQloaiIU5uRkiYwIvL6FpahJ6sfC2pqgeg5f+TlSxMzA2kqmWxUnTfQVvvlATwmd1Rw2n7TI+eSRTyMzuWadx+d8kk5ZBm5YAxmbczr/FHARSSgx4Lm96df7Tn7eTO1Iqpu0jUW2Y/Tnos3fOcuvO2q1YnODa8onwYV+jEJRYlabbGBvaSaWteN2w483TGzUysIWlopmVqaGztG6pjcXilUulU1DaU6Utt2Yei68NlQuWZVVd2G7SiLdyUhSa06bfwsUNW2OOyKG7D8M9Ee8UnBvmh5n45D5/Umsm8ItD4tndGdy8EjO6NIuyh6nvJ20ZCBPaetfovA2b3tmGg6WPP8INoto+VthP5W2OPUtghs6wd2YeluC4WiVBYcQyCvHvSpbZbv1KYtnLI1SEQ/7qyaeM3Bs+JjaeoUxi0M/TjrldKtUaHSjNXtmEOYBWk1tbv8SNk963cI3wfCzCRlMGWqieFY4XXRuDyFPY9Ty6NWMaTnIkLamOOSTC1/XWzNKCEtczWTyTQN+9kcXnhI1+NtspLwum/+Be/76QOx13k6vCxWFWSgU+ZW0ruTfONn6YxuTOtuw7ptw/jctY9GxjV1TejgycCyBtgsi6gMgqBpWsDEANTmpFqf2nDMrOIhosxM3lXRMpLbZzhOXP0YCJ/ZYxb1Y8n0roiQEW8gyYJ69GxHnFpusCQjmL7CQM8hg3BJw3YwtasaaduUFaae3E+Tff7zls0Q1VSm0rx5cBxPbB4K9sxj9/bKKGSK3mlg53hAP064xiJ2oWqwNynrlHUPU0niU0sfEVXXUAg4ilrQAfG66Mkdcaf5BkGNLY9YTW2CqBLd24HRRu5+2ARLUZWY6MeivYtnEYkQaDIo1NTygf885qGh5wsCqQpFEWQZfBUk1dSy6+3/XngUutospUwtreGWrmXWdQCA6d1tqFlGUCudB2RnFanLFSHi1A5NoGoaOHnpNADALU9sTdzz/96wp6a2RXBcNzAyaLG3DA09NSsTRUgUzaKISsN2S2nnAzAOoGCXe9P3QyEj2SKk6xrm97Vj/fbRmPoxj1DlNn3isq1ksgo5hEJRCk5tw06kXaZBVOfKgmjBScX45GQs6O/Anet2SBfWCimARujHYvGlrOJaIpi6HigrqiBto5b1qeWvi5571rBMCuL01KyIgTPs92LriglFZXOc2FpNFny/XFmm1kzJ4gcQnNJVF6zA4mmeavVDnzoVlqHh7Vfdiz8/HvYFpu+8tExtyjyY2t2GwfFh4Slfeeu6mON1yr7TUs+FFYPJak+JDLC87K20eliR+jEQPrP0rLIGfFz9XWyk0thD403ms2oUdyDcFxwuU6uejSu2VqTRFiPK3jmHovkta9FxzOdvQsN2g8BLrWLghxeswP4z42UcKtBFmdqEaVxKpraIU5uRfqwuFKVhsiCgEikNkTgatD7VfSYSgafuinqAJgUjaDSRpkLTcYXZts1DE5g1qYaB0Xruetrvnr8cz+0YxTM7RpUyarbjRhTqWbDUaRms4LkQjzVWt1GrGMI5nCf7puesqR0cz5ahNHQ1WrDwbxOu69/OPBBv/O5dALx1pmLoqCsE5em7tEw911qo6xr2mtqBtVuHM/8tod6iTO0g49SO1m1UTR3Te9qCuvCXklOb+s1pmvY9TdO2aJr2EPPaZE3Trtc07Un//17mvcs0TVuradrjmqadyrx+qKZpa/z3vqb5s03TtKqmaT/zX79L07T55V7iiwPHCenH9P++M3tgGnrg9KlEwzQtXlPLrtVlZWqpJk+0obIGdNIm+Lv3HotrLjo6dUHI0qR6YKSOWZNqeOzTp+GSkxenfp4F3XfVlj5F6mtEjqboXMYbNv6ydpsw00C3/vJX7oevnnNQrI6SYArorOQo8ve+jEytZcqzV9uGJ4Kf953RjXcevxc+K+krSPi3Mw/A6QfMwLJZkyKv89cV1NQyFrAsw3PPR1fh9ktPjLz2igNn4LjFU/C+VXtHXjc0TVmIYTQhCBETQJNlKnS1WhtRq46Vi6dgut8mqLNqomoaMUOPgmSmkZwp48HOP7amlp0Hj336tNjfsaJV/Hif+d2j+MD/Phj8/tGXLw3EtpLAjp/VnhKtI2ltT2SgbKM00+OKDSq+RySbtThkXm/kszJaMD3bbFQ9S9CSD+JlaTHRdOL1eFmRluGheb3/rG4cNGeS9HNJICdAlqmlOTboBwZ0TcNxi6egL2cGmr39gYBdwgNarKZWTf04yeDNKhSlYjw3HC8DOEng1FoKAUfag/g2TKxOQc0y8E+Hz1M6Z8Ihc715xQZR05Tmj/7cTQA84cOsdGfCSUun4U1HL0gVRiM0/JpakV2kUuqUZC/d+8wOLP3EH3DzE1tRt4vPYYDoxzmc2oy027yCVPS3Mhyzd3/QGsrQNVRMXanOle22kNduWtDfifXb8mdqQ6e2dZlaIAwEEfOliO27u0Hlm/sBAN6yuRTAja7r7g3gRv93aJq2L4BzAOzn/803NE2ju/VNAG8HsLf/j475FgADrusuAvBlAJ/PezG7E2zXZejH3msHzfaafPdmoL2IskrsxlmmYplokeFbPCQV9ndUTRyoYKxky9R6EdU81OBQKCX9s6MF6cciR5MFbX7rt4/iDVfehY/9+iHh5wCPQvbqg+K0bUIS/ZjPCuWh0YjGk9UIsrUuHVUDHz5tn1QDctHULvznGw6JbRyWGb2HWWpqp3RVYxni7jYLP7xgBWZwfQCTnD9+M7/MV2oWgXc4ZFFx1XZPqvt73KlVz9Sy85eN/LPXzRpfojnBOrVp46kIqbCY0dOW2aASnUNOWylV7ENOP47OPzJOPv6KffGNfzok8llDknmhIAm75mZZ38me5Z1aFTGWhu1I27WpIinDYzsuHBe4eNXe+O17jo30PM2CNtOApgGjiq2Hiu6P7HnS15W0bxUZTjUIkUTzzLqHqajCNn1GmMjQVykNkdGP2XY43/rnQ2OtANPwr2cswzUXHY2pjHownUPade0sgX5sGrrSeuu6chEtFfpx2MIvPtbdT3ssotvXbkOjGacf54FKdwARdo42Ms03XVBapwrVcTRofqZWhX4cBibzMtwm1SwMZcxYswiFosrN1I427AhjjeYyqcn/Q2VqXde9BQBfCPhqAD/0f/4hgNcwr//Udd0J13WfBrAWwApN02YA6HZd9w7Xs1iu4v6GjvULACdpeTgTuxkcxw2yD7QHUr2SKOIpg2iBKdqHTAZRTd5TW6JUijJE2VQ2b9txMTzRxI7RhpCWpIKwxiz9pMcbdqGJzTtkPPhrXb89fzSPssJfv+nJ4LWxuo2KocfUtMugH1t6sngOIU8rpMg4nEMhrKktIRLtKWSKrydLhFR1maqkPBsE1ZGP4to8BZlaBfVj9jlkv1PeCEzK+LBGZFoNb1q7ChbXX7ISv3/vsZlzrKJrzuvUplHFZfTjYxb1Y15fO9594iIA4f08du/+iGoskJSpjR+XnrHTD5iReu7vW7UYB87uwYn7eHTvLNoFZdCPzQRV8QaXyc4LXdfQbhn42k1r8fpv3YGBFAG7JJqiCpZM78JFJ3j9Zu2AftyqTC09F8lzOMlhy+rUqpSV1JvygAdbgiG7dtqD+LEmmEwt/7c3fuC4WC9mHm2WEQuiBw4gc494Vo7juNhZgH5MUMnU0tyT7VvZMrXx751sG00TC0Xlga577MCswcWdY/VMgYlCmdoM88wyNbXgjf9dWYYe2HNZ0VE1U5XZk0ABzWse2IgtQ+Mpn1ZHvelEygLJZqBMbZHSu90NeWtqp7muuwkAXNfdpGnaVP/1WQDuZD63wX+t4f/Mv05/85x/rKamabsA9AHYlvPcdgs4brgY8SI+WTK13gIjn/hl1dQC4kwPr3rbUcLDr6K0/LFfr8FP7n4Ocye3Y35ftlpaQib6cd1Ge2+RmtrkDA9vqHS3WZnElyJ/6y9OD28cDF7btGs8oKl++tX74ePXPAwgvWWUCpLoxyyKZLoBxvjhampZQ7iMIE7FFwNyBT1HVTa/rBBRUkX44KlLlI43r68DZxwyC7+873kAYW2ySqb29qfCZZX9LB/JvuuyVZFMCgs2wyFz/vo6KmivGjhrebynqgx7+7XDmYWiBHMu6zEIpp42j12h8T6pvYKbP3hC8DsNL6J1yYJ6SQ7R1885GF/222zJsKC/A9e8+5jweLoGTVPL1DZLoC5S6zqq8YscP5jLxecv1dPe/fQOPLV1GMs7xGUaQLKgjCr+6fB5+M8/PRXsI62iH5dSU5uRfpy03l3zwPOBQB4twf/7jiMjtF12f5E5AlZQUxtdT9j1hV/W95qST9hLlNXk1917nx2A43p7cBGQ3oloHyE0GbaRaE1Sy9SmPxcatFICU0D4XbhusvCZ47jYNRYmHXaNNTGpZuFfX7tMSYXbq8HPeY4Z7ICKYWTK1JqGFkkGXPayfXDw3F7Zn0XQ1WaibjuYaNq5gvwshfuL1z2Bz595QOZjiEBO7fM7vRaZAf24SvTjl468Utnqx6InzU14Pelv4gfXtLdrmrZa07TVW7duFX1kt4HtusHiQAZS1TdwerI4tVp8MWSNlDIztZahx5wX1vGqmjredcKiwuMYWrpT+9N7vCbbLwyO5659+VvSj3mHjAef6exqMzO1yWExtasNq5ZOjQRHnt85hpmTPKd22ex89WoyJNGPWWQ1qHiY3D2kbGoW9WPVcVxX/PxNCOiyP3jzYYnH+/q5B2PVUrkYUlhvLX/eP/LyfXDEwj7p+zw+cEroANOzp5I5ePP37wl+Zh1SftPvabekWVZ2s2bHi7SYsh2csGRqLqGSzH1qhUJR+ZxaUaYHAG56bDPWbhmOtGpTgWhNCWonM/RS1XPWebE90pNQhugg3bvv3f507D26n3lVj2VIY1YUzdQC8X0ksU9tgcsLMrUp11SGUNQ1Fx2NZbN6Eo/16d8+Gvz8z0fMBwAcNn+yVLxJNnZIyY9eF1uaUBY5zwyCy+F18SUQZ/3XHQCytz+KjSUJQriuG9zXJrOH5XVqw1Z3ojIL7zVdQ6Sm9vUZgok8AvssZQ295sHncfTnbwrq23eO1tFds3Da/tNxwpKpiX8L+KV1BerHk0CPkwsXFVPNfgnVj/XIWnvhcXthxQJ54IwFJX1Us7Vbhybw//73weAZTWrnVgT1poPOqhHclwrv1L6EMrV5Z/Vmn1IM//8t/usbAMxhPjcbwEb/9dmC1yN/o2maCaAHcbozAMB13Yrmy8IAACAASURBVG+7rrvcdd3lU6ZMyXnqfxuwQlG0wFHUPpP6sYB+zC42ZRoJXjNxuez+u45fVDgbB4gztTc9thlfueGJ4He6xHrTwQF+LXL2cbz/lenHLWzpw28QXW1WzKk9ZK66MzpncntkM924cwyzJnkZ7TKz94A42CFC2fRj2w6j3IQygjiimmSCaPNbNiv5+XvlgTNx5fnLpe9XDO++8EIphKUzuvHWYxYmjsGDrZXOkqll0RTUZGcdm72HrKjW0Hgz93eVPVMroB/nGplpv8Tdxwt+sBqrvnRzhIGjApGxQH//6KbByOtptNM8UKX4idqBZMXZh3lbP9uGjRAIaZVAj/zgqUtwxiEe0SstiFPG9kjHCOnH4XsnLInaIS9WpvZfX7sMe03pUM5gHThnEo5e1J9o7LOUxCXTu1KPKQtqUlAvqaVPWVtWkNVk1iUZQ6ZoaQ4FYfln8D9uWovFH7sWwxPNIEBhStrIqWgOkHMjal1GU5voxzSHv3DmgVj/udOVr4WFLrDPRFi7ZRijdTtwxHaNZatTVlmbxjJqMhA0JldWMTyV5TTGXlOSqc2CTj/7PzyuVvP/r79/FL+4dwN+v2YTgKiCdFYl8yTUfWo67d0h/dj7v/0fTChKhN8AON//+XwA1zCvn+MrGi+AJwh1t09VHtI07Qi/XvY87m/oWGcCuMnNI722m4GtvZrwJwu/6KcZy4C3ofJrGRvdKoNeSvDkvaOLCFv3UkY9I+BFZflWRdeueQE/+Mt64edXLs4XwOBbXCShrJY+SbTFKNyYU/ujtxyuPB4rftC0HWweHMcsP1OblNH52rkHx4Rr0pDW0J7wtpULMh03Ng4nthVEuZnnrowgjpVgJIgMxryiNsF4EqOOMHdyLfM8Zh3LMFOrS7M8D2/chSt+90jktct/83DwMx/MUh2bfa75dlV5s2TZa2pFGYxcQwfPoCyD5dGP1Y/XJpiLtI5+8fon8PgLQ5Fjlw1DoJMggtcCpdjcmtrdhv7OKuqC8ZpBFqT4HnLRCYvwxiPmARDPYRZlZmpF9ONzV8wVfjYPRPuiCKJ15A2Hz8WNHzg+03hpxn7W/VAW8A6CerxT24pMbdAuK94ZIHZeBQMsYalC9PjEMts5Wmf2MB0VZh8jdV6VgJOVoIpNr+iaV1JThoZG+Lwnf27rkNf5gIKZW4cmMtUpqwhFZRUaJMzwbaGqaTCaFmpZ4SI1tZ2+8BIvsCoDzWVD1zDRtCP7cFHmW2QcX0SM5igFwl+KmdpUa03TtJ8AOB5Av6ZpGwBcDuBzAH6uadpbADwL4CwAcF33YU3Tfg7gEQBNABe5rktP5TvhKSnXAFzr/wOA7wL4kaZpa+FlaM8p5cpeZNhOuDg0uEwtADz4iVOU6C+GHq9njGZqy3NqaxUjFhlj6celKi1ztLiG7UjbNIj646kgqU/t5sFxXHnrOlz6sqXQteItfchRkhnDdK0rF0/BLU9sxXjDidcrK1CRCJ5MvTfWWMP2aoT8WtukZ+JVB85UHoNgGbow8shSNN9/8mLsMz1fL0iC7vfy451aVoyklJpaSYsJQGwAFVWQTsvia8IKjGSwWXHKGOgJmdpzvnUnhrj5xfbfJcPkPSemlxdUmXnCGo8j9ejx89KnylA/zgsKQMiO6fUfV78ukcAO+wxvGBgNsmAt8GkzZWq72orXVbVZupDCHzi1JRjdQLgmpAXbylgvApopMUiYL4o3fov6ZjK2BRswYveYL7zuANzyZL5SLNbYp2wqCxVqLAvZOkl746ObBnHYfI/G6bpupAd9WWqvIm0L2Z5c1KmVaYPQ+tW0XRi67yjpWmR/P+OQ2ehqM3Hmoek0YRGlmhAp/2iWU1NLh+DXjSc2D2H1+gG84XAvkENO7Vjdxr3P7MCmXeOY06uuf6KyNo3X8z0XXz37YPzp8S1Y0N8RfM9vu2o1fnjBCunfBPRjQ0PefF9n1bPB+L1QhibjSF9z/8bIe2VuB/WmF/CgoAf9T7O+O6Py+O6M1FXLdd1zJW+dJPn8FQCuELy+GsD+gtfH4TvFLyV4xo/3cyPI1IbGoGpdraimll3bynQ0a5YRy7awRn7ZolTsdTVsFw3bFRbY581GU5RetF9e9ss1uOmxLTh+yVQcOq8Xrgu0FYhWUZ9fKf3YXzA/eMoSbNo5hvGGHTi1F65cqKRuysIydDh+XSht2rR4l2U4smOJsi+jjPFaVhbfMrSQftyqmlpdHrkVGUBF2RC0gaQJRWWBSHAnSf04ja0w3rAxa1ItUqsrgyxTO8rVEeX9rthTFYkO8VBhEagirF8T38fRul04+8feF/Z5a1mm9m+kfgz4JSwCgbE6Q+0rAwFNXKBye8mqxfiyX8pSRgawEggdecdn51KVu2dFOWayObziirB1GvvMnHnobLz+sDmxz6uAvS6Rg9ee0amVZmr9Y3/imodx1qFzUKsY+PUDz0eCamX15RTVn8oc5sL0YwldnH4da9jB3mVwTq2mIWAbKI8juEc01+pNx6Mfl6F+LNE8OeXLtwBA6NT6PeofeG4gEKac3Rttn5cEldZBMrHCNPS0W3jNwV6JAq1rNz+RHPwJRL0MHVpOl5L6aKvSj+n6TV3Dh67+a+Q93hYvAlLGpu+WEmp/3bALAHC4Ys3w3wPKForaAx8O06dW5NSqQkTRYH8v09EUGSSsIV52T1xRSxHVxUAFZM+IDPpAjMh2gsWjaF2BldC3jhWM8GqXbQyMNqBpwIdP2wcHZBR3Cnr/NZ3gO6q2zKkVO+vsolvWc8jW77LN0AlliCdYCZFvmSL1rR86AV89x1OfXbl4irJSMaDe0icLRMZ6Uk1tmnE/1rCVMxesU8uON8pnanM6FOx8PfrzN6V+vsyefqJMD5s5fnLzkBLF9Op3HonLX7mv8D12HWWppHnbWyRBRTwMKEf9GPAytSJjjL6j0jK1QQkBQ3/3g2xlt6eg2rabHt2CXWONxExt0W9QNodZlsUv738++LlIwC1gkKQE21YtTRf9AdKdWsBr+wIA96wfiHxGFkTKirAmPj1YVJh+LKmpdf2nYLRuh06LoUUy31l0A2TjAMC4P9cmfDugXPqx+BzpdcrUkkMLRNu9pY6T0AKMUKZjlwY2U5v32SC2iyr9mMYU3QZ+Py2Ciabn1NLWRYmjt61cCE0Dls9XU3f+e8BLR8d5NwPb+oEiq3k48iKKBvt7mTW1NcsIFioCSyUrUi/EI56p9e7RyISNvnxq/jHQvRFtIAbzHmUci9YVWH6Nkgjs5ubVLjuYaNiomvHesipgo+yhU2sE51EmLEMXGh0sXbysJBPr1NqOA12LPuNlOM9JTqYsmzpncjvmTG7H4Qv6MK27mikDlGY8ljWtkhyYtCFG601lg0imfkwU5p6ahV1jDRg565/Z6aqiEN6STC1jFLMO7uB4M2iLkIRD503GofPE0W+2Lpx93lRa72SFrpANAby5UEa9ek0gNgiEPUrLcmpFGXUygMuuD6P15+71O/Cen9yPD58WBrTKDiCqBiHKAJ+B5jFWb2Kf6V34T0UNBhn9mF1XBkYamNFTi7XsUWm5ogJTUH8qywKXRT/m9xEaerxhB+uIoesRpzZL/EpWuwuEgZzxhu1n44pvJmktF5uOC0MDtg/H1+aDMgTnDS2dfixSUs8K0XkSXNfF929fjzOXz8YdT20H4JU2OFq+OUj0Y1bwKQn0fOwc9c5xencbfvveY3Dyl24OWpeVgbrtoMqUrFHt75mHzlaiwP89YU+mtkVga6+IupmnZtPL1HLHblGmtlYx4kJRzGZTpn6XF5FmDUc/U6sY4VIaI6iplb9nO6ExVLjPqilXCQ43Ny3IiE80ndyKwRUm28jTj0V1fEXgOZoC+jGz6OZtoRIfSwsM4Ibjxgztcmrk5PTjNIrw9J62zJTGNOOxLKdWlWoqwlg9Q6aWCc6xWSXayLtrnvGWl2qa9RLKrKk1BZlafk6rOLVJYJ/hD/3irxjwHfcXM1PbavpxI6D2lU0/Dq+NjMAi2ghpeGrLcGQ/5gOIRfdIQ5ezfcpGhWH7iDAyYWN2b015j1LK1PrGO2+3lNUfXKQgLXv+i2olmBLnjx6B0brN6EJE6cdZAlj0rPPjjEw0g6DfBNGPy8jU0nVJnuWm7WLnWCNyjw+Y3YOnP/vybO0qJYrQLG54ZLPy8WTYPjIhfe/+53biX377CC74/j24be224LzIhlo8LVuGhdSfd44qOrX++rVu2wgA4COnL0V/ZxWzemulZqmpppZaDfV1VEs79u6GPU5ti2A7If243szvNOla3GFgF5vSa2oTnNoSEyK+AR7+To6MaoG9CujWiBwuVrZ+PKCtFSMumLrYqf39mk248tan/c9oqJpeNsOrH843BaP0Y+/86VhlUJD4sURGR8SpLckQsww9MIBtx40931aZ6seCayorYyAeT5ZFLc/QlzowKUOM1m3lDH+0pja8X8TymO5T0PIzO6LXkLa5l5nZEvWpLZM2DsQN+jXP74LruoXrMUXQVenHTjn0Y1rbYsdnekCWgYD9wDx/pCQ9v19drCb7uNHsEr/WFv0Oq6YeUEpbDXI2ZYG8sYaNWoY9UWaLsI7WDt+ppTn1iVd4FH0+c5sXIgdQRm0mVea8kLVgosDGWMMOnntD1zArQ70piyAIy42z3+XX4YZHvW6aXqa2JKGoFPXjuu3EGH1vPGJe5mCvoacHw2dOquHly6ZnOi6PMw/1as5FTEmav1RbyuLqdx6Jn779yExjtVkGapYRBCrTQM8OrV1zJ3trV3vFlAqn5gGpH5N9P7kzn/jq3wP20I9bBMcNMzCNAplaUfalVfSkNqFQVPh7qZlaLSqIUW9BpjZo6SO4X2y986f+z6sJKRrht0xN6Li868f3hePqWqAQOtFwcjeAZym0E7FMbdn0Y3FN7fbhcGMry+6vMFnhpu3GHIAy6PZWAv24JU4t0ybmlV+/DRVTx9XvPKr0cbwsj9ggTrtrYw0bfYobHZu5YTNlW4cmUDF19NS845QhFAV4mdFFU+VGb5k1tSLxl7KySAS+Lrxi6sGavteUDrzlmIWY398eMxzzwFRWPy4rUxttCzcy0cS1D72AGT1eoKOs0giReM79zw6gYujYb2a+vuYqsAw9sv+WzYrp66xgu6JBXBRk0MuCNqP1Zin9K9lMLSke0/w6Z8UcvOqgmejvLCdzJHI0ZZnvovRjmi/xmloPY/VmpOzoohP2QtXUsWFgFBccsyDDOHFRNB4TTQf1sjK1/hSV0o8FTm1vjg4VKkJRRdhshEPn9eLMQ2fjL34mVgTRGi8rH0lDb7sVUfZOAn2nD27YCU0LM8MdFaPUdYAXg+t/CWdq9zi1LYLDZJkKCUUJjBLWSSuTouDRj7lecmzNV+n0Y8ZwbFJNbYn046BuVv7eeMMORCvyOpgEWUaThal7vcImmg4mCvSVY9vE1Lma2jIp6TSWqG7xhcHx4OeyqJOmoQW1p7bjlO6gA6wxFz/nMoMqBF3XvHpr28Ga5+MR4bJQpB5vcKyBWoLjyEKmfrx1eAJTOqtBS4i8LJLPvHZ/3PjZUCAqrT6p1JpagaFfljJrMAZ3X0brzWD+nHHI7EBdtAwktXli0bDLmWs1K1rC8vk/PIar7ngGb1+5EEB5TqDoe3pm+yjm9bWjzTLwruP3wq8YQaWyUDH1yD7Ii6G5BaWi+joqgaosQRSUPWHJFPzbWQcWGisoi5AE8kbrNtqrxZ1a1tGiDBYZ86auo7+zPDM0pAQzqtgO1RGakfW9dTW1fqa2HtbUmrqOqmngohPSW6bJxkmax0FNbQlzmGWxidCwXWwdHo+8Nrkje0sYFaGoImw2Fm2WjnHBc152wBIAJrVXApp9Gmhv2TnawML+joAt2NlmBZTkorAdF7bjRp73l3Kmdg/9uEWw3dCpXbV0GoB8NRyGpsUyF+yxebpwEbSZBuq2E1nMok5taUN5QlFcn1oAGBxr4sQv/rmUMVTox+PNsD/jwXOyKRDzqBh6aqaPMrXjlKnNGYUkQ2FCQD8uq5E9O5Zo8Wed2rKy+KxQVMNxc4sNJSFJeONGn85VNixDlwpFTcugGJmEPOrHRyz0otGD401MVozeympqtw5NYEpXNaAd53VqZ/TU8LHTlwa/TwjorCxaoX4caQlSdqaWuy8jE3ZQp1mmGB/gPetphqPreiUYZdSitnFO7ZCvZv/cjlEA5ZVGBN8Tc23jzbD904dO2wd3XCbsOlgIJpep5b+uostgX2cVOzhhG9rjp3WH87O9YhbObibV+ruui7G6XYqSNGv37BqLZmrLDsDS/InOX+/nL599UOSzhdWPBc7fLU9sDeopRxn6cZHrDEsi5A/XyEQTrluOcFka/bghyNROypupTZkwXqZWx+/feyz+793H4E1Hzcdxi6dkHqvNjOvFAHHxxu+/+bDMx+bR22FhQNGpZZ+duX1h2cTMnjZs2jVeSlkX2Tns895Rspje7oQ9mdoWwaMfe4vDV845CAOj9VzUSV2LR8xsx0VPzcKOkXqpTm2t4j304w07EDVgDcoyM7UmZ4DTxHth1xjWbS0nQqVp8ogjBTTH6zZcF7jg6AWFswhVM92pNXUNk9srGBitY2i8kTs7XDXDbCN9R0U3aRmIfuy6bsQ52ryLydSWFPF4dvsoHt44iDUbdsEW0I/LgJVgzN37zI7I7xTwKDymEa+31jRgZk8NHzpNvT0Qi5s/eHzECUrqUyvzldigSh76sc05tbN724N1rki9P/ucydosEUoVitJFmdqya2qj83RkIszUlsxmha6lZ2o9kRk3ImSTF6TsTuipeRmcTf5aQXtMUQTZK+a7GW/YQfudVqFihEGCnpoVcyyLO7UVbBupR9Za0pnoarOwedBzJopmhIGoLgOPuu2g6biFdSbYcYDQQW/abkzZvgwIa2r9nzu4rHPRAIsog/r7NZuCn8eZlj5F1sJwHPk6RHTXUvrU+oeQOZzk1LJzfdak7PXCKsKGXomWgX1ndgMAls3OV1pAwTbehuFZOIundeU6PotJ7RVs2jkofd91XQyON9FTsyJ7G7v+zpxUQ73pYPtIHVO6igWvgvI0Q8enXrUf/vjIC6UnPnYn7MnUtgiOL3sOeBNqRk8+kQCR0Ac5tQBKFZWgSD0r1sROujJbTsRb+ng/b02QX88zBiA2NGgzHak3MTzRRGcJzktFwak1DA2LpnXBcYFHNw0WFopq2E7gnJVB05GN5bpxx5UMLKA8+jH1Y7zh0c1oOm5gpPziHUfmdv54VCSR73rTwcBoI8hOHLt3P+4sKdtTMaPZbsfxhIHOWj47t+r2vL4OzJkcRnetBKaAbAvbtCtU8p3coerUxjO1juNi/fYRzO9rDxztIgEJ9i/TFKnL1BiglhisKEu9WS79mL8tI4zxW3qm1kjP1FLJRxkBnDZfbJCYG93+PvWC79SW4SQBYZ16JFNbQKNAeVxDD9a6K89fHqNsF31S+juqqDedCE2WSozY76eM5TYpUztWopI069DRcRuOU3o9MiCuiaefO7mgTVk1tew+0susoaN1O1hHilD7g2c9IVNL+hbl1NTGAwMsE6vpuAEr57NnLMPV7zwyd2ldUqLEdd3S6MdVU4fjxp1YPmBZxhrY3WZG+krz+PYt63Dgp/6IF3aNR9r2sNnTmX6QYGNBpX0ATHmajvOPmo8fv/WIwsfcnbHHqW0RRMqteSCqk7MdNzAWyszU0oLMypFH1I9LTFgYuhZZpGljLUMchUC3X5SpoLWUJPG7SshS8I6LCKauYW+/dnFwvIlKbvoxKWs7Qaa2ymws//GGg/HHS1bmOnZ8rLgBCXi1jmQYHDCrGHWbR2+7habjBEbK8vmT8a7js9cjiUDXc8dT2wM6HBBK/0/3RW1m97aXkr0CiJoe3j8yjMvMRKswBXic5JdGAGFWLQ1shoMyZc/vHMN4w8FeUzuDYF6RLAxr7OwcreOjv1ojrXcus+aVsqj/4ovHeccvN1PLR8lHJpqB41mmmj3gUfzSMrV0XztKcDjJuKV9gwJEVKpQBp0V8J4tXYsa+uMNu3BbtjRYhh6U4eiaVnoQQtQShNpwdLeF85MNZuVFUksfUrZX+b7++Yh5OP2AGYmfWf+507FkWhdG/YB5q1g4hqBPLa1R/Fpe1FkSZVDH6ja620z0d1Yw1rAD5kyRHtBB+ypWWJP7zsg5KqOmNkwGiMvQ6k0n0E84d8Xc3IJK7ZaBhu1Ke5E3HReOW07JAq0LfLsx3l4rYw0UsbJYXO+3KXpuYBSjzJ7GBvxIWK8Up1ZAP34p4x/jKl8EOBzNIS9qlhFsBOGxQwN0tMRMLfWu2sYIVbB1CGULRUUztb5TO1yeU0s0SSG9yn/tqjueAYBSMrVV00ilShq6hgX9HczfFFM/rtthTS27+L/igJmlUGkAxoHmFurRuo1T95uO2z58QqpRo4pzDvPk9wfHm5hoOC0xUslI+N7tT+Pzf3gseJ0CKl2+8ajq5KmAV5AOaWnlLcFVSxdmNV3XlTq7Ry7sw+uXe83XVec366ySw/TU1mEAXmsOer/I6scapd+6ZR1+fNez+PYt67wxmWfe+2yJ6sf+s7FtuB44mryBUqYtXjV1jNRZ+nG5hv6mXeO4+YmtuGvddulnqO61nDUwSt/mA7JlZWoBr76Vbekz0WzNesHCMvRIAIL/uhZO6RD8lTqqXFAAAMYa8Uz6B05ZXGgcIGxxIqo1DJxahaDep1+zP/7zDYekfq5WMYLjNp3WOLWiOldao/i9tqizJBprrO7VddcqXicJtqVPXohozjKB0FIztcx+QGsEnQdlaovglP28Vj2//etG4fs0B8pgX9Czzusz8Gt7Getvkn4GENpu4w0bo8zcYwNINNdHSrDvae8v49n4e8A/xlW+CHBcN6aMmAedbSZG6nYkasbSj9OoeVnQ79fUbWcowINMJqvUlj58Ta1/HQ8+t7PUMSxDw5dveAL/c9ezkfdiEboyMrUC+if/u6FpaLOMgApVmH7cdEpd/NPGYjEy0URHxcDs3vL6Qn7udQegs2pi52gD4yVRj3jIjBlyaqv++2U6tRVTjzhirRBK8YIq8fXg0qvXSDfHqqnjkLm9AIB5k9UN8v956+EAQoPuuQEvojx3ckg/LrJcRGil/rmT8/qab9yOJR/7Q/B+mZladuOnqD6/VpRFSQe8dYfN1Jad+dviP9M/uftZ6WeIfszTM/MgLIuIBwRMXSs1W2BxbB+vpra1Jk3FDJlThqZFAtfXXbyycL9VWu/YtWKYMrX+enTc4imF25wAYYBB5CDRa2W09AnHC1sGNkpqP8PDEDm1gVhTdLyi9bxCZ9MXXKv5NPxgnS9CPxbQnFmGHmX3gXJYJSL6MctoenLzEJ7YPFzYqV0yvQuWoQX19iyueeB5/OkxT7SxjGedgkV8AIfu14r5kyNCbEVgMW0Jhefiz/FdY43IHsnaoBUuOFgEoZDoS1ccisUeoagWwXZcVM3iBkpH1YTtuJEotO266KmV/9X1+aIXbP/RXWMNnH7ADAyPN3H+UfNLG4sXCSi7bQaPj/xqDc45bE6wkfHOZmn04yafzYxm2Wkj7O+sYHiimXuhiWZqW1tTy4tvjNVt6Lrf8qHEzAuhp2Zh51i9kDp0ElhjahLjuJJTa/nztkyndkF/R6TBu11CBJ9HlXOcAS8Q9bPVz8n/xjJw9mFzcOCcSVg6o1t5rP1meYIdZLRt3jUOQ9cwpasaBPOK1FmzawM5lfTSQ88PSj9bFGyQgZ5v1pjs66hgaklq1YAnXjM6YbcsU0tIukMB/biENZDWikDBnDHKaiUrbpqGHheKanGmVmcUW3mSRVEjH2Cd2vC6KOhA9OOyHhGiWrIBL9d18bUb16K/ywtwl0UXBzzWGTlHZZVn8RDV1AYU4JLbw5mCWtcx/xmsWl5WuozgpaFr0DSPobJ9eAJ9ndWIXTG5oxLQ1ctoAyPSImHbqv3yPq9V1iqmdCUvqqYhVLd/308fYD5THv2Y3x/J7vzyOQflErsSoeK37+NFqYL3/et5Zvto5HV2riWVBmSB67r4we3rAcSF0l6q2JOpbREctxxlP4qes/VkjuMGFMkyMalmQdcQNH0mlbb5fe344QUrAqe3DLCNt13XbUm/MEBsHAPxxaKMiJjIqeUzZLTI0b3Mm7kIe606EXW7VoA3FJZ+4g846Ys3Y6TebMlCOandwq7RhicS0YLss8UYN01BNLrSgkzt8UumRiLSzRYYWlXTq1Fin/m0vrsVQ4emaZkcWiDeD/KFwXG/R60WrHtFyhVEPaxlhytV/ZiZQ6MTYVYJAL7xT4fgxg8cV9pYANBumRhlVVJbpEqZ9FUMtyBTS98ZG6wso14tOpYWEfQabzgBzbBsEB3Qdlxp/XMZokoUxGMNffp+aD0qK5tPQYYxxkEammjiyzc8gY/+6qHIZ8oaL8zUui3O1Mb7TLOO5VF79RUei9burUMTwfwdb/j0Y0v3MrVMP95CY+kavnPr0zj0Mzfg6W0jAY27t93CW45ZEHzurEPnFBoHCIMmskztzrEGqqaO45dMLTyWKBAb+0wZ9OOA8iu2+6wS92GZBgmBdFT+7brHI6+z62NaD2lVXP/IZvz0Hi+oXZY+yO6OPU5ti+C4bikRVXrQh/2ahnGf0kIT5/AF+Yr0RdB1DZM7Ktjm049JlbNM457A0o/LNEp5sIdmo9+8E7toajHaGEALNJeplTgVRPXOTT8mekrTUwgk56QVMAQR6Q0DY3DdcmvkCJPavT5v1KOubLCOC/scDI03oWvAZ167DK9fPhur9i2+aRN4alMZrR540ObPboSs4EzS32QFT73bPDiOab64RdAfusC8FhmlsvKHpu3EMiHLZuVr/cA+b6N+LSM9Iwv6O3L1Y0wCicsFfWpblKndOSZ/Dsp0atlgG/s/UG7Wzxsl3wAAIABJREFUD/AcBXIaXNfFeLN1mdo/XOyJ7jUdN8yqc+ttGWuVSJF4hHdqS3pGKqaOiqFHAq88PbNMQ7g9UlPrlJ45BZjsaSRTSxTg8Pv59nnLSxjLO/+P/GoNvnrDEwD8mlqiH9ft0kqDTF0PKMfPbB8Jfv7auQcHNuIbj5gbtL4pAnq+WKYNW4Y2ONYobS6LbKb4Z4qPVREwIICwpMoqUdvCklCHn90+ipGJpjT50M4kCJKUybOADUaUvf7urtjj1LYItlNOTW0Hl6m97uEXAHgCL3d/9CT88IIVhcdg0WYZmPAXTJoQ3S3IChu6JhViAYB/P+vA4HNlgTX22cXiQ6ctwcKCtVCAOFO7YUCsXkeZ2rybHS2ME7bj93Jr3VQOM7Xx76kVmdquqoWh8SbGG3ZE0bks9NQsfOpV+wHgndoGutoszJpUwxfOPLBU6jMvCEWba9nqx96xQ8N0V4IzA+Sn3QeZWt/hfGHXOKb7jruoJisr2AAKfUeyo/FUxmvfdyx+8vZ8bQvaLAPvPsFT2SYDvO6fS5nRfAKtGa3qU0vYMhivWyNQwLSMucxnKSJre8m3zzTCmlqP7oeWObWzJtWwbFYPmrYTPNd8ELEMZzOYw4xzGdQ8+9niMuMetYoRCbzyVNAyss+E9ooZ0GabLaIfBz1W2dImJ77WlrHusuf/l6c8ITaqqW2vmBhr2MH3WLR/Mh8AYNWpX7ZsOi5cuRAfPHWfQmMQjEATIcmpLSfY0WaJdSBYlBosijH0/LW9zFp/I0w4sFj5b3/Ced+7W8rOY+daYN8VzNSya1QrEhC7I/Y4tS1C2fRj2tgef2EIpq7h8AWTMbWrrfRNvGKEbWl2+VmeVmdqRRSLU/ebho+/Yl/87r3HlDbmRNPGyEQTtz25LTJmGRkKwBcD4hz0ByTCV4v9zPCzXF2F8liMeNO4v5G2CqKG9oRWLJQkntOqTC0AnH/UfEzrrkacp8HxZil96kSwuLWAIu2lqh8TdTFDprY/Z0kBn6kdHG9gUq0Sea8IAUPUZ1KW+R2aaEbm8Ly+9kJz+ti9+wEwPTVboB75vpP2xjf/6ZBAXK5VfWqvu3glZvfWEssrdo01YOpaSfTjqGYBa9gRnbssWIYe0I9brSsA+E604wa0+lY4ZYFKKzOHhydsWIYWrCFlPiMdFQOPbhrC6vU7AMQztWVmd9osI6B/Nm2n1OwYQZipFdCPy3BqWUrxfL+jwVjDRlvF8Po1122Ml5apjZ7vgF8i1tteQdU0cNnLl5Zmp4VByfC1wfEoRb0sWnrF1CMBHACROnmgJKEoSeaz3gL6cUXQLYLW93ufGYitUcTiYuuWNU0TCo9mBVsC1LEnU7sHReA45dCPOwNpb29RoUhgq2hqbLaRJll3C5xay9CDzB9N/hXzQyp1zTLwlmMWYJ/pxek0hHrTwWW/XIM3fvcuPPbCUGSsMlD1FyGKcD67fRRfvfFJ4WdfvsxrgTOvL18LCBIzathOywVSROIbhFYslJ1VAyM+dauVin2mHu0rPDTeaAkrAYgbwBRpb0mmlsm27BwT9wAk5F1HNE2LiL2NTtgBfYqMoiI1taIACv8KzbNdo42IAmhRo7+DCyTSOlWmU3vJyYvxsmUzYPmBsFY5Skumd+HQeb2JJR4D/v0ro3yBp96xLXdeSMgW54Gpa4EBTM5Yq9fBpu0GVPFW1D/Tenf30zuw9ON/wLbhCU9lvmpG+uOWhfaqibvX78CZ/3UHgHjf+zKDlu0VA3XbQdN20LTdltCPRerHFPhg51YZ84w9fwoOjtcpU2v4mVoKthR7Lvm1h9oulqlzQhBlu3nGT2n0Y8sIHH8C/3sZLLSKIW7vGNTUlkk/5kowgOi84sVDLzphERb0d+CYRVOi55yj7zyPSB/cf5Ca2n+Mq3wRYLvl0Gs6fUORZP3HGw7aWhhxoRqvx14YxDnfvhMAWpK9qllhfc1zOzyK7hsOn4u7/Yix2QIe3kTTwbptw7HXy9q4iSpbtz1njMZa2N8RUyWc2t2G2y89EVNybkqsOt5YizO1oob2hFYslEGbE9doaebFMrS/WaaWN+AoC9iKmlqWfizK1F5w9AJ87/anC49HbAvXdT3RMH8e0dQt26nlj+dpC2jYOVb3a12LK38CjIBOI0o/boURXvF7GrZSKMrgWt/w2DlaLy3LE9bUusH/C/s7cNj8yVgyvZy+2QRD14JxyHlorVPrBWJl6sdlgKiJP7rzGQDA6vUDfus0M3j+y3xE+KAkZVKP3bsf96zfUarwFjlCo74uSCv71LLPu+14Nfds0KaMAA67dpMDE7T0qRgYrTcx0fSy7EXX+a42M2jP5cIT87QMDd0t2K8MQVBy8+A4dC1k35SWCBBkavkWU2XSj+Pqx96zUWaSSOTUso7sz1dvCH5+01Hzce6KuTjvyPn/v70zj5KrqvP491db753O0ukknX0BkpA9JCEhILKERYkiYhyFsBkcwYUZOYLidhwUjzuOM8gooDiIehAFRREQUTZJEJgQEiSBkKWzL70vtdz5471bdev16/R2f6+rXn6fc3K6+qX63VdVt+67v+37873mrvTgsltMoUjOPWIhMajZQkTbiWgjEb1MRBvcYyOI6DEiesP9Odx4/s1EtJWIXieiVcbxRe55thLR7cSleBMgjlCUvZpaHTXoTKbZFB4B3WMrg28aymwcKaamEuKDL+1CeSKKs2aOxu8+fhq+snq29fEAx6gtj3d/LbbeT68M+5E2J0p27RlTfZ9fX1M2YPVjLfPvRGr5VD+B4CO1FSUxpDIKzR0p1lphPdc1Te1JFlVxoHuacbsrQmS7Ty3gTT/uHqn9wrtnAQAumjducAMq4I+v7kFnKoOMyq1VE0Y4fYtHVw289Y3fXPPayPqzO9KaxHAjUjvYZTe7+XbXp07GKGCJ60TMph8zbPTjkcgx65uPtiUx3JIAlndDl0w5/Ui/fslcXGWotNoaa2+T4xDNRWoDSD9mEHnTeDfw1aUxtLjp9drIsBqp9dzbtSPnU2fPwJavnG9VfDCntpx2haLsf1YR975oCs2l0jz1u2ZWj77nt2fVj51U6/Zk2kq2kel0SqeV09qnooRFHNJPvX7P0Y68rDJb6cd+QlHeFPgxFlqoHaum1rYKt59QlF/pxYzRlfjSRbN7HN9G+nGzYdRytYsrNGx8mmcqpeYrpbSc3E0AnlBKzQDwhPs7iGgWgDUAZgM4D8B/EZH+Zvw3gHUAZrj/zrNwXUOKk35sIZ3Ls0ngjsrpL5JZQ8GhmmYqIR5pS2JMdSmqSuM4uX4YLvPxWtmgK5Uf5X7nSY66rS3xZe/CeaTViZLVWexrqSEixKMRdKVVtjceF9n6yXSmmwLtWEu93UzM2j7W9GNPk/TmjhSL5xvobrze+vvNAOwaMX5CUeb3GAC+fakjwLbtqxfge2vmD2q8rnQG2w+1oeGoY1hooaEPL52EH12+GKvnD9xoTvuIknnnnv6eNbYnMawsZ5TRIBWJtONr+6FW/Pbl3TmDiWEu6hSzTA+KujaIRqkHJ4HCitv+jOfePGRN1TnmqSfjUrkFgF1H2vDq7iZsamjM9dplFEPR6cc9qR/bwLvexaKRbOs0Pf1tbk5NcTClFGsat963tHWlkUzzRGoB93NyM0geeqUBna5jxTZliSje+toFqKsucb7DGeU6mKNZo6+xLWkl0miWgHWlMzjU0oURFXaV2DV+Qn8Nje2Y6DorAYvpx7HuQlHeFPiB6j6Y9GTUdqUy1gUAszW1pp5AV/da9YeuP7ZejI304+aOY7f0CyMcbs3VAH7iPv4JgPcYx+9XSnUqpd4CsBXAEiIaC6BaKfWccnYtPzX+pmixlX6sc/315Oaun9RfpBZmo9aM1HalMgOOWPaHzlQa5cZ7l209Mog0SRN98/qjq1B9pK0LEbKzKPuO5zogOgOsqfVujscyGOxmGwnOyEsiSlln0c7Dbdjb1IH64faNdKD7RnTbASdV1laEDDCN2vy0J32cCLh44fjs9QzWy68zKg67oiU66hOJEM6eVTeo8/saYZ7fteF0pK0rr6Z2sLaG3pD+8Kk38cn7X8Y3//RPRIhH/TgepTyhKA5veixCvk6CjmQGu12HhPn+DQZTwA5wUrc5DAoA+NTZJwAAtu5vybUlYnJKAdoJlslGajmi6t77YCqdQUtn2q2pddOPLY5nRmo7XdFBgMeoLTcitekMT00tgGyt/6Ob9uETP38J9zy73Ve53wZElC3Z0uuurqkFnLXJxntpRmq7Uhk0NHZgVBXPviLqidSmMwp7GzswaWTOqC3zyXgbCCXx7n1qvenHNr5n2Sy6tDdSa3/vmfCJ1OrMLE1tVUmv0W49rwZDixi1/UYB+BMRvUhE69xjdUqpPQDg/tTNHusB7DT+dpd7rN597D3eDSJaR0QbiGjDgQMHBnnpvGQydtKE9MKvN3ntyTRLxECjo3/NnWZ/K4a6yUQsKxrRxahya2K2zgCASxY5G/xZY+2IUembgW5c72y2E9lI7RXLJ1sZRxOPOZss7ui9ThNbc+fzuOmBjdnjiWiEZWNXaUQPuCO1erPz+OZ9SGcULl08+Ob1vmP18D7ZSK3S6JrufKM2nXWq1FuOquvxdN2u1VR0Hz9T0lMXmkw7PZrbutIYXh7PS0EeDIlYpFuNaUbZqcPzG6vLEIri+D6ZSvMmZr2Vrfcu7q2pTWV67Ms4WN670Nkm7GvqyG7euGriAe0cUOz1z+ZakcwotGbTj51jNueh6bBu60pnjVqO+0mZu49oT6bc3tI888KpfVZ5xpKuFf7DJ1fi+x9cYHU8nd3Wnn3vIllDtrHdUqTWSHXeebgNm/c0Ycnk4cf4i4GT6zPu/GxsTyKVURhn3D9sBTpKY9E8YcMdh9pw/c//YeXcJn493AEnNd16+rFvTW2+od6XLAUr6ccdOluQxwFSiAz2DrBCKdVARKMBPEZEW47xXL9PUR3jePeDSt0J4E4AWLx4saWkUR6cmtrBnyfb9y+r8phhUSPWlMQi6Eql89IWOKKopmgEZ6T23885Ad96zGmM3pnKZGuTf3vdCsybUIPtt11obSwd9dDoWr/aqhK8/h/nWTfQ4m6kkbum1owePfCPnP9p2bSRLONV5KUf8wpF6c13U7szL8YOsx95BnqOwI22eLPxUz9u60yjoiSKOy9bhJPrh1kbC8h5v4+6ypg2RcNuvmAmSuJRbN3fjPXbjwDoviH51YadmD3OeU3Taivx64+twF//ecDKJmX88LJee/zaIBGNukJRzu8chpJOm/ViGrWDqX82iWedsLn0Y65IbVVJDOWJKPY2dmZTzm21Z/PDcYIp6LeSqwNBSSyClNFOSqsf60jZvAn2vsemw7o9mc5GyTgjtTr9mCPzAchFav2CCjPHVmOmJSe2JuGm0GqjtjwRy75/R9uTVvY2ppNt/dvOerhi+qhBn9ePbPqxygVSAKCmLJ59b+2pH+dHaj/9q1eywqHvWzg+WyI2WHrq+5pM21+f4j5R4VZPTW1fxkz41Bv3lyNtSaycMQr3Xr10UOcpJgb1aSqlGtyf+wE8CGAJgH1uSjHcn/vdp+8CYIZBxgNocI+P9zle1KQtNRfXC38yrbDjUBuaOpIoZdzo68jBsdQybWCKRnQxpIBoPn7WDDz56XcAyPWpPeOEWsybUGN9rA+c4kzvqbWOoMJbB1uzUVqOiGMqrXD/+p3YcbjNmnCDH35exbNnjsYPP7yIZbzgjNqcUJRO0+UQLwHQY1TC5ubRr6a2LZlGWSKGc2ePyfO020BnkWgxKpuR2tqqEnzt4jl5wl3eVKzvPv4GPvLTDUhEIzj9hFpMGVWBtZayIWxHtXtC97bOCUXZHyPag1BUq2HU1lly5mQ3dAGkHxMRxlSX4okt+3DrI06NelUJn8M3HiGkMkb6sbsslsWjeM8g6se9lBhrQjKdyQpFnTJ5BB674XRctmyStbHMmlqzrypLpNaoqU1nFFukVhte5vzmRO+Zsg4BVygKcLJYbKzx1WW5e6J2tnGJGnrLWPTrKkvk0qptZUQ46sdGP1cjk+4jp0/BhXPHWhnHK+Kp6WSoqfVmqwC59OOLFzjZJX0pebNRU3u0rctqiVMxMOBVhYgqiKhKPwZwLoBXATwEYK37tLUAfus+fgjAGiIqIaIpcAShXnBTlJuJaJmreny58TdFS0bZ8eTqfpBNHUmc/o0n8eaBVtb6yXiUkEypbqIstjG9tl2MKWpAbpG+4Rev4JVdjXk3cpuMHVaGVbPrkIhGsK+pA6/tacLKGbW9/+EAOdSaU7blTNP1c86cO2sMmyFtijVxGuvxaCTrvNEbRy6iTFEJE69BAQDtXam8OnKO8fQmi6NMwXRqdKW6K0gCwNia0jxHiA24aqu9JNyaWh3Z5Njox6PUrabwtj9swbu+/3T2d1tp8Ll6slz6MZdRCzjOj7cPtWV/51rbgVxrJG9P4c1fOQ/fXWMvpdVcbrvSOlLrvK4ZdVWW049z35sOI1LL4Uw0HdnJTIZtTdTp9i0BGbWOtkV+6rbOnDra1mXlvTQjtS1uSimXw3eYW4qg13WzzlrfL8cMs7M+eoWiTGPPpmMlEiFHv8DjGG3uTKHSsnPAqysA5NKP9X3FG7n1o2QQNbW3/v41LP6Px7H9UJu10pJiYTA7gToAD7oLbAzAfUqpPxLRegC/JKKrAewA8H4AUEptIqJfAngNQArAdUop/cn+K4B7AJQB+IP7r6ixlX4MOJEys+CbVf04FsHepg6282u00EBrp9PLjVMoyrv4cypklsadpusvZlOEeFJ0AUcQR98DWCO1PpsPzs9rZEWJ72PbxCJkRGrTKGfcEPtFux/91OlWx/AaFIDzusYO47mpJTxGLYdBkW/U+t/gRzKogI6ztGnrDf2Z6XIPjrU9GiFklKvI787DO57alvccW0atWU+2ZW8T9jblC8zYxuuI4sq00Od20o/tt9Yx6TAiV80dqbx2WbbJi9Qm0+hw78UcqdVZoahk2qllZFQ/TmcygRm1iVgEbV0po6Y2Z9RmFKxcR55R656Py6itcZXkj7pOc535UxqPZp1jttYLs6WZXqc0tp2kfjWqLR1J6x0P4jGdXemMpZTK6qyMdsW9+mKsDrSmNpNR+J+/5frQ21K2LxYG/Gkqpd4EMM/n+CEAZ/XwN7cCuNXn+AYAJw/0WgqRdEZZq4+Ku7L+Gl5F2GAaNJs3OKemltdQN+FUyHT606WxeU8TIgScUFfFNpYZTOcUD/OLHnFGX8wbeG0V34Jsph+3dKbY24F4OXGM3bnRk0BFGdPr0uNpg4ynj2vunD1tBEYyqIvbrHU+Fnpt0mJbHM4pPffSSiHSg3aurdebK5fJ4Lzv/s09xrdWcDrzvDi1yRkk3VYdXC1pJo0sx6aGJgC51H6uLJK8mtquNBrbkt1E0qyN5TqyH36lAck0T59awHHi/HLDLkQjhIpEFEumjMCbB1tZxgKc7/DR9oyRphvJW7f0ZzkYTKEovd5yZWclYhFUJKJZrYT2rlxKejIbqbVj1Oq59uaBFsyoq8rb1Nh2kvql87Z0pqy3XPTW1Jq9Ymtd7QJvL14/Bpp+fM+z2/N+52r9VKjwS84ep5he8cESixJajHSFUs6UzFgwDZq96cectZPexb+mjO9LXhp3WhVt3tOMqbWVrKni+eMyRih85jFnpNb83nC1QwLyhaLaulJs0RAg3zHwtYvn4IXP+vr9BoVpUGjaGNOPdQQ/t8myPycSfYjUjqq0/322JZzUGzmxLd0WiSNS64zhV1cLAPdds9TaOuUnksK5tnM6orzEok768dH2LlSVxNiMsu+tWZDVfMgpi/O8TvOzaU+mcbCli23N1Q6IZ7cdwp7GDjalal1Lm84oVJTEcPeVS/DUjWeyjAV0Vz8ujUet3/dNcVCdysp5D64pT+CI61DJpR9HsvsMW0btSHftPuc7f0VjezIvUms7a6W1M417n38br+5uBABcdc96/HNfi3WHUcJTU3uoxXkfv33pvGxUuC8CUCUDFIr69Uu78u4jttq1FQti1DLhpB9bMmojkTzRA86oHFntgtcz2oBo7UyxCkUB3ftLDivjTT/uSGWwv7kjMLEZgHfh8qup5VKu9MIVNQDcdMJ0Bj94ciue23aI1ag168fGDCvFaIb+vn4GBWdatR6vtZMvcmBuutdvP4I/uT2gTThS1INqgRCPeVK4GYwXs8+0HzZF87LZAqncWJxrkxmp/ZelE9nGAdxIbUY50UzG1zR9dCV+euUSAI56KcCXfmw6LDuSaRxs6WRxEgHd7xlczmX9ngWFjqhlI7XxaN68/M4HuiU09hu/+yCvURtHo/s+dhjpx7+89lRcf+Z0a4ZgreFAea2hKa+m1nYLNX1fvOEXLwMA/rzF0bC1nbmn10Cdtn2opROAk1Gkv8d9icCWJWJZR0l/aO1M450njcZytzuFrZaVxUJwbs7jjLSyo34MODeD1rwUBr4NV3tXfv3H1adNYRlHL9KN7Ul0MgtFeRdHzhqD0rhzgzvalsSkkRVs43hhrT31q6ll/LxMOHqDauJRxxP6jUdfB5DfH9c25uYxzqT66TUolFKOUcuU2aHngC6N4NhklXgyENbd+2K353CkCnM4HfzQ7+Gm3U6KIkv6sW6z00P6ts35oe9533n8n9ljwxnT3/S1Rwi49T28FUyOqE0aRwJQFNUZU9zpx2ZWzIMv7cbbh1rxjhPttFHx4l3LOZ3LGs7Ud41uvZKtqU1E8+6P710wvqc/7TN+bRxt7S/9GG5Eak1j/YS6Kswdb88JNsrYy27cfRQ9+N2s4l1jbUfVR1QkUJ6IYsueZgDAQTdSO6oy0S/Hb0UiOiAFby16+fl3zUJHMh3oPrQQEKOWiUzGnpCEk36cm9y2+6yZtBpNou++8hScyXSD04v0HU9tQ3NHijVFzQunl12nzBxo7rQuQHAsRjJ51wH/myenlxgAbrt4DnYeaev9iYMgHqXsjRvgUe/VmO8h12YkGnGU0nX6sRbg4HpdeuPd0pFCPEosr6u3TcBN55+E97ptEmxSWRLDqVNH4rk3D1k/t4k2OJ/eehCxCLF8r3qL1HI6jgCwGoDaqE3EIuyvo6IkhowC9jR2sDqWgZwxtmWvszEeW8PUP9t4z/7y+gEAPMJrmu98YB5u+MUrAPgFbG65cKZVA6wnSnwitba/x1WMWUR+1FWX4snX9yOdUdk2T14How3MubbjcBt71w0A3dpV9qW+tT8kYhEsnTICz2w7CAA46EZqR1WWoD8vr6IkhraudL9LGdvcvta2a4WLBUk/ZsKm+nE8EsGuI+3Z30+yLDBj0mZEaksYvZy6p6Vux8BtJJnUMKa0aq9fezLt613lgrP2NGihKABYs2Qiblx1EusY8WgkzzPM2tLH2Dxypm4nDPErvcniitTqedHcmWITLTmWs+vLF83GR8+Yxtav8efrlmH7bReynFtjpqFxiR71VlNrmw8snpD3O6dRq0XQuJSITbRwze6j7ewGmXZE7D7ajjHVpZg6iifaMqOustsxDuE1zTzDyOR0LgPANSunYsmUEaxjAEb6sVlTa3k95FCjPhZnzRyNw61duO+FHfjjq3sA8AgBmmtDc0eKdY1ae6rT37nT0xqOo5/xiWOqsetwO5RS+MX6nUhEI04Etx/ZYHq96U8Kciaj0NqVZi2lKnTEqGXCZvrxnsZci51rTpvCOmHN/lkD7ZHVF7xe9UAjtYzGpiluUM202faDM1Lrl37cU9SnmPC+Ls7Nt7kp4e4zrb+3rcxGrU6xa2HMtOjpvFetmIK1yyezjOll7vhhuOXCmSznXj0/F2Xmcz50j9Tq6cixV/76JXPzFDc5M1b0e2ar08Cx0PXOzR0p9t6PRJR1fs0aV80WhZ40sgKbvrwq79jEEXwtmMx7L+d9OCjNBwCorylDc2cKr+9tRjRCKGFqiQQEJ/ozd/wwAMDnf/MqntnqZKtwaLlEIoQH/nU56mvK0NSezIpgcfDl1Sfj4oX16EjmouoAWNJzR1TE0ZXO4GBLFzbubsTFC+sRj0b6pZmgM6z6Y3S3uQZwRYCq8IWGGLUMKKWglD3vsWkcX3rKhGM8c/CcOi3XV3X2uGGsY5kEGanljMiZKTrVAdQMaThTZ8160BPqKlFdGsP02u4e/mLDm4nAnVKo4TRqEzEzUuv2PmVOP25P8vWZ7qnVF+eG2MtD15+Ga1ZOZTl3aTyKixc6hi3Xd1jfP9LpXK21vjc9+LEVLGOa9z7OKJOZfsyN2WIkiN6POhuG834FdBehmlrLV4NnZi9xZUy9+uVVePkL57Kc249zZ40BADz0SgMqS2JsDohtX70Aj91wBsu5vfhlmXE5ChZNGo7Jo8rR2J7Mpupy4dTFZ7JlR++ZPw7Xnm5/bdcO8l1uCdWscU7JYH8CXXq9aT2God/amcITm/dlf29zDeDjOVJ7/L5yRrRD3Fak1kzJ4I5orls5Fe9dUB94Pn5QwkNXLJ/MKgJjRmq50iI1S6aMwAtvHcaP1y5mHcecx7/66PJADQpOvAs/l+qnF87emvFoBPe/sBPxaCRba8rV0sdMQTezSWzS03rnlz1QrOh6OdstLDRZoahMrtY6lVG4cdWJVpWPTczlfD7TGEDOETB+OL/SvLlejLPU0uRYaGei7X6dvTGFKdUZyF8zxg7j+cy4nQBeJowoQ4ScfZ+3TdFZJ9nTJIlGKLC5UJmIgSivbSxrzXpVSRyb9zQPqIVNfyiNR9CZTGfL3s6fM5alNZfOnNNlg16H5arZdb2eoy+R2s89uBG/ebkBj//bGZg+ujKrvRP0d6CQOH5fOSPaCLXloE7m9fzjXdQiERqSAvOeIjK20Deda1byqDlrTBEvbqGon129FJ2pNLvxbNbUBi1YwYn3fQsqUstlvADOpjGVUbj7me0Z+sPIAAARi0lEQVRYNduJILC19GFScTbRhpgXTuXPoNEtJbhrn3X6cYvbV5gzRU2P+bOr7fXA9UOrA08MQOHT3JiODaBdm44+c2bheJlTP4y9t/qHlk7EvPE1rM69ICEiVJbE0NSRyrunbPvqBdYbJHK2czSJRJzXpHuQc9/3q8tiONzqfJcXTqzBR5gyY3Sk9mfPv43h5XGsmD6KZZxcpFYbtbnPbdtXL+iTbVBZ0rtR+8b+FgDAk1v2Y1ptBV5tcFT0JVIrWEX32rKVdpUKMFIbJN9bMx+fvN/pGcadPhaNEDJpxWpQAMCEEeW4Yvlk/H7jHkwfzZuim4hFAkm7M6dx0IIVnHj703GKbZlwGS9AfoqYFn3jVj/m5HCr0yvR24g+FqJ5qDfCXNFn7QDQqp9N7kaVU6hH+zvKErzr04rpozCsLI6PvWMa6zhAfvSjnkmN2EQ7BoKsj/vemvnsY9z63jnsYwRNVWncNWpzc4TD8Rbk/be6NI7mjhQuXliPm8/n0RTQmBHhr148ByeN4enwURqPoCudwT92HMHKGbVsEU2tKaDTj00HTl/nhd4n9KXO+NZHNuOtQ6247+87AASf3VFIhMdCKiC0UcshXsEhqz5UmCIpnOIUQM5zVsJs1ALAly6ajfWfOxvjh/O+pqDgbpUxVHi9z0FFajkdU2apQksnr1BUED0gx7nGw4KJ+SmsYYrUaqOFy6miHQB6bjS1O44CTiE7bZBxR/3G1ZThlS+ey9rmTmN+j7hSZ03S7j6iPMCoS5BR4TChjaMwZTLputrayhL2e+Pbh3Pt+zjT33Wm457GDtY1I2fUOpHa/ghEaXS0tbWr50it6Qx4+OWG7GNJPxaskks/tr/xCqr2NGi02h4X969bhj+9tu+4/rIL+ZiRWu7WLSacTgLd6B0ADrmiG9yqupxcNG8cptVWYsP2w3j+zcOBjh0UOnLKVfYR9dTUNnU4Ri1n2YL+eMJ0vzLvHUGk9+l2T0FGasOSEhw0OjLmraktZnQWWBCtCc+dVYcX3jqMF285m7XErtQICp04hi+TrrIkhniUsPto9/Tj/pwDAJra+6Z+3GykKQeVdVaIhOcbWEDoMjCOVBGOovah5AvvmoUXdxxh9+hPra3ER88ofsVewR5hdHCYXt2DWaOW53UGEcEnIpxcPwzrtx/OOx4NoJ43KEa6Xn0uQSVvpFbXyXGqs+tIegg6f2XRhiyXuJYXbdQGGT3lLI0IM5Wug4hb30JTH0BNd4eb9hqEMOTVp03Bh5dNYt8HmgYzp+FHRBhRkfBNP+4rOtqrlZr7A2eLx0InfLu6AiCXfjzEF1IEXHXaFFwFXvEmQfAjjEatmY50yI3ahmGjqjzGUZgitZcunoCJI8tx6tSRvT95AHiFoh7ZuAcAb/rxF989G599cCMmjQxHCQbgRK4evv40TBvNL0oFOEZ0ezIdaH1cECUFYaQywEjtpi+vCqT84sK5Y3HouU6caVHBuSeIiN2gBfJLf2rKeA2/4eUJ7GtyHMsDST8ujUdRnohmBbS8HG3rwmt7mnz/j1tQtpAJ366uAEhbForSfOOSuVbPJwjHM2FKFfPj/vU7EaFwiMvNdvv81ZTHcbQtifZk7+IZxUIkQlg+jUeFE8gJUL19qBWjq0rwu/9zjVrGCMyK6aPw1I1nsp1/qJjDXCZjUl9TioMtnYFs9oXBcaDZMV4mMGuDAMEp237irBn4xFkzAhkrKMzvEqdQHpC/vxhoWv/w8kSPRu1dz2wf0DnDTvHvdgqQDFNN7SWLxls9nyD0lZvPPwk/u3rpUF+GVfTmIIgel0OFAm+asG5bdeOqE9nGAIClU0fihc+elW31oGuVhN7RUZ3PPLARl/34hezxIGs1hf6jhQZ1ujgnF80bxz5GmNmytxkAcMrkEUN8JcKxMB283KJebx1szT4eaLbUyEp/o3ZTQyNe2nEEAPD194VPTXwwhDtUMURUl8Vx9xWnYEad3RrOsKrQCoXPtWfwt8wImng0gjs+vDCwGrmhoIa5Hur/vrSK9fwmo6tLsXDicOdxQErVYcBM1TadAXI/KWy++O5ZiEYI7wwg/fP2Dy7A7R9cwD5OWPnOpfPx46ffwrTaYFLThYFhRmq52yPVlCeywo0DTesfUZHA3944iB88uRVzxw/Dyhm1aGxP4sLbnwYAnD2zDh84ZSI+88BGAMC75o7F6TNq7byAIkWMWgZK41GrdQhnnTQaT2zZb+18giA4nHfy2KG+BFZ+tPaUob4Eq5w6bSR+c90KzKkPLg202PHW391y4UysXT55aC5G6DOjq0vF0CwSzp5Vh7Nn1Q31ZQi9MGFEcFlZd19xCjY1NA1KAHBkRQnSGYVvPPo6AODZm96JF97KiSaeOs3RYTjjhFqkMhncvmZBoL2MC5GCMWqJ6DwA3wMQBfAjpdRtQ3xJBcOdly/OtmMQBKE4uX/dMvb6uGvPmIr/fX4HWjpTqKsuwaJJw1nHGwq4VILDSsyjFP3hZZNEEEgQhOOOSSODi6RPGFE+6Brr6aPzsz2X3/bn7OOvrJ6Nf1k6CQBwz5WnSOaNS0EYtUQUBfADAOcA2AVgPRE9pJR6bWivrDCIRgjRiNQ/CUIxs4xJ3dbk5vNn4vJTJ2PFbX/Gkin84wmFj24NAQAvf+EcER4SBOG45eHrT8t2KCl0Thpb5X98TBUuO3Vy9ncxaHMUhFELYAmArUqpNwGAiO4HsBqAGLWCIAj9oL6mDPddsxQLQxilFfpPrVF/XFN+/PYvFARBCFLBfLDMG5/LSrpgzhg8snEvAIQyA8sWhWLU1gPYafy+C0C4pFYFQRACYvl0vhYxQvFx79VL0CCK0YIgCEXDiIoEtt92Yd6xrftbMK6mdIiuqPApFKPWL3beLT+AiNYBWAcAEydO5L4mQRAEQSh6Vh7nipiCIAhhwFtnK+RTKGoRuwBMMH4fD6DB+ySl1J1KqcVKqcW1tXKTFgRBEARBEARBON4pFKN2PYAZRDSFiBIA1gB4aIivSRAEQRAEQRAEQShwCiL9WCmVIqLrATwKp6XPXUqpTUN8WYIgCIIgCIIgCEKBUxBGLQAopR4B8MhQX4cgCIIgCIIgCIJQPBRK+rEgCIIgCIIgCIIg9BsxagVBEARBEARBEISiRYxaQRAEQRAEQRAEoWgRo1YQBEEQBEEQBEEoWkgpNdTXMCCIqBnA64M4xUQAOyxdTm8MA9AYonHCOlaQcwKQeVEsY8m8kLH8COM9RMYaPDIvZCw/ZF7IWH7IvOgbJyqlqnp9llKqKP8B2DDIvz8Q4LXeGaZxwjpWkHMi4NcVus8q4PdP5oWMNaTzIozvX1jHknkhY/UwjswLGUvmxcDP1yeb73hOPz4a4FgPh2ycsI4V5JwAZF4Uy1gyL2QsP8J4D5GxBo/MCxnLD5kXMpYfMi8sUszpxxuUUouH6u+F8CFzQvBD5oXgh8wLwQ+ZF4IfMi8EP2Re9I2+vk/FHKm9c4j/XggfMicEP2ReCH7IvBD8kHkh+CHzQvBD5kXf6NP7VLSRWkEQBEEQBEEQBEEo5kitIAiCIAiCIAiCcJwTGqOWiO4iov1E9KpxbB4RPUdEG4noYSKqdo8niOhu9/grRPQO428Wuce3EtHtRERD8HIES1icF38hoteJ6GX33+gheDmCBYhoAhE9SUSbiWgTEX3SPT6CiB4jojfcn8ONv7nZXRNeJ6JVxnFZL0KC5Xkh60VI6O+8IKKR7vNbiOg/PeeS9SIkWJ4Xsl6EhAHMi3OI6EV3XXiRiN5pnEvWi34SGqMWwD0AzvMc+xGAm5RScwA8COBG9/hHAMA9fg6AbxGRfi/+G8A6ADPcf95zCsXFPbAzLwDgQ0qp+e6//byXLTCSAvDvSqmZAJYBuI6IZgG4CcATSqkZAJ5wf4f7f2sAzIYzl/6LiKLuuWS9CA825wUg60VY6Ne8ANAB4PMAPu1zLlkvwoPNeQHIehEW+jsvDgJ4t7vvXAvgXuNcsl70k9AYtUqpvwI47Dl8IoC/uo8fA/A+9/EsOJMK7uJxFMBiIhoLoFop9Zxyio1/CuA93Ncu8GFjXgRwmUKAKKX2KKX+4T5uBrAZQD2A1QB+4j7tJ8h991cDuF8p1amUegvAVgBLZL0IF7bmRbBXLXDT33mhlGpVSj0Nx4jJIutFuLA1L4RwMYB58ZJSqsE9vglAKRGVyHoxMEJj1PbAqwAuch+/H8AE9/ErAFYTUYyIpgBY5P5fPYBdxt/vco8J4aK/80Jzt5sa9HlJAwkHRDQZwAIAfwdQp5TaAzg3JgA6BawewE7jz/S6IOtFSBnkvNDIehEy+jgvekLWi5AyyHmhkfUiZAxgXrwPwEtKqU7IejEgwm7UXgUn9P8igCoAXe7xu+BMkA0AvgvgWTgpA34LichDh4/+zgvASQ2aA2Cl+++yQK9YsA4RVQJ4AMCnlFJNx3qqzzF1jONCEWNhXgCyXoSOfsyLHk/hc0zWiyLHwrwAZL0IHf2dF0Q0G8DXAVyrD/k8TdaLXgi1UauU2qKUOlcptQjAzwFsc4+nlFI3uLULqwHUAHgDjkEz3jjFeAAN3vMKxc0A5gWUUrvdn80A7oOkGRY1RBSHc8P5X6XUr93D+9yUH50qqOuadiE/Yq/XBVkvQoaleSHrRcjo57zoCVkvQoaleSHrRcjo77wgovFw9F0uV0ptcw/LejEAQm3UagU5V+znFgB3uL+XE1GF+/gcACml1GtuSkAzES1z0z8uB/Dbobl6gYv+zgs3HXmUezwO4F1wUpiFIsT9bv8YwGal1LeN/3oIjlAD3J+/NY6vcetcpsARbHhB1otwYWteyHoRLgYwL3yR9SJc2JoXsl6Ei/7OCyKqAfB7ADcrpZ7RT5b1YmCQU39c/BDRzwG8A8AoAPsAfBFAJYDr3Kf8Gs6kUW6e+6MAMgB2A7haKfW2e57FcBRzywD8AcDHVVjepOMQG/PCNXT/CiAOIArgcQD/ppRKB/dKBFsQ0WkA/gZgI5zPGgA+C6fu5ZcAJgLYAeD9SqnD7t98Dk7aegpOOtEf3OOyXoQEW/NC1otwMcB5sR1ANYAEHMHBc10HqawXIcHWvADwNmS9CA39nRdEdAuAm+FmBbqcq5TaL+tF/wmNUSsIgiAIgiAIgiAcf4Q6/VgQBEEQBEEQBEEIN2LUCoIgCIIgCIIgCEWLGLWCIAiCIAiCIAhC0SJGrSAIgiAIgiAIglC0iFErCIIgCIIgCIIgFC1i1AqCIAhCkUBEHyWiy/vx/MlEJH0vBUEQhFATG+oLEARBEAShd4goppS6Y6ivQxAEQRAKDTFqBUEQBCEgiGgygD8C+DuABQD+CeByADMBfBtAJYCDAK5QSu0hor8AeBbACgAPEVEVgBal1DeJaD6AOwCUA9gG4Cql1BEiWgTgLgBtAJ4O7tUJgiAIwtAg6ceCIAiCECwnArhTKTUXQBOA6wB8H8AlSiltkN5qPL9GKXWGUupbnvP8FMBn3PNsBPBF9/jdAD6hlDqV80UIgiAIQqEgkVpBEARBCJadSqln3Mc/A/BZACcDeIyIACAKYI/x/F94T0BEw+AYu0+5h34C4Fc+x+8FcL79lyAIgiAIhYMYtYIgCIIQLMrzezOATceIrLb249zkc35BEARBCDWSfiwIgiAIwTKRiLQB+0EAzwOo1ceIKE5Es491AqVUI4AjRLTSPXQZgKeUUkcBNBLRae7xD9m/fEEQBEEoLCRSKwiCIAjBshnAWiL6IYA34NTTPgrgdjd9OAbguwA29XKetQDuIKJyAG8CuNI9fiWAu4iozT2vIAiCIIQaUkqylARBEAQhCFz1498ppU4e4ksRBEEQhNAg6ceCIAiCIAiCIAhC0SKRWkEQBEEQBEEQBKFokUitIAiCIAiCIAiCULSIUSsIgiAIgiAIgiAULWLUCoIgCIIgCIIgCEWLGLWCIAiCIAiCIAhC0SJGrSAIgiAIgiAIglC0iFErCIIgCIIgCIIgFC3/D7uGO+10ojbYAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 1152x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(16,4))\n",
+    "sorted_data['inc'].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "week          200308\n",
+       "indicator          7\n",
+       "inc            36298\n",
+       "inc_low        22548\n",
+       "inc_up         50048\n",
+       "inc100            61\n",
+       "inc100_low        38\n",
+       "inc100_up         84\n",
+       "geo_insee         FR\n",
+       "geo_name      France\n",
+       "Name: 2003-02-17/2003-02-23, dtype: object"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sorted_data.sort_values(by='inc',ascending=False).iloc[0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc646a0ce80>"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sorted_data['inc'][-300:-200].plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "first_august_week = [pd.Period(pd.Timestamp(y, 9, 1), 'W')\n",
+    "                     for y in range(1991,\n",
+    "                                    sorted_data.index[-1].year)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "year = []\n",
+    "yearly_incidence = []\n",
+    "for week1, week2 in zip(first_august_week[:-1],\n",
+    "                        first_august_week[1:]):\n",
+    "    one_year = sorted_data['inc'][week1:week2-1]\n",
+    "    assert abs(len(one_year)-52) < 2\n",
+    "    yearly_incidence.append(one_year.sum())\n",
+    "    year.append(week2.year)\n",
+    "yearly_incidence = pd.Series(data=yearly_incidence, index=year)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7fc6468ee588>"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "yearly_incidence.plot(style='*')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2020    221186\n",
+       "2002    516689\n",
+       "2018    542312\n",
+       "2017    551041\n",
+       "1996    564901\n",
+       "2019    584066\n",
+       "2015    604382\n",
+       "2000    617597\n",
+       "2001    619041\n",
+       "2012    624573\n",
+       "2005    628464\n",
+       "2006    632833\n",
+       "2011    642368\n",
+       "1993    643387\n",
+       "1995    652478\n",
+       "1994    661409\n",
+       "1998    677775\n",
+       "1997    683434\n",
+       "2014    685769\n",
+       "2013    698332\n",
+       "2007    717352\n",
+       "2008    749478\n",
+       "1999    756456\n",
+       "2003    758363\n",
+       "2004    777388\n",
+       "2016    782114\n",
+       "2010    829911\n",
+       "1992    832939\n",
+       "2009    842373\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "yearly_incidence.sort_values()"
+   ]
+  }
+ ],
  "metadata": {
   "kernelspec": {
    "display_name": "Python 3",
@@ -16,10 +1300,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.3"
+   "version": "3.6.4"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 2
 }
-
diff --git a/module3/exo2/syndrome_varicelle.csv b/module3/exo2/syndrome_varicelle.csv
new file mode 100644
index 0000000000000000000000000000000000000000..97250334162972cf43da7c1a5feee532cd00bfe8
--- /dev/null
+++ b/module3/exo2/syndrome_varicelle.csv
@@ -0,0 +1,1584 @@
+# @source="réseau Sentinelles, INSERM, Sorbonne Université, http://www.sentiweb.fr", @meta={"period":[199049,202112],"geo":["PAY","1"],"geo_ref":"insee","indicator":"7","type":"all","conf_int":true,"compact":false}, @date=2021-04-07T09:59:24+02:00
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