From 21a00bf9853b6c19fdda21b028da4ac809be2adf Mon Sep 17 00:00:00 2001
From: Phil Weir <phil.weir@flaxandteal.co.uk>
Date: Fri, 30 Apr 2021 08:53:05 +0000
Subject: [PATCH] 017: clean output

---
 .../Preparing for an Audience.ipynb           | 1208 +----------------
 1 file changed, 55 insertions(+), 1153 deletions(-)

diff --git a/017-visualization-strategies/Preparing for an Audience.ipynb b/017-visualization-strategies/Preparing for an Audience.ipynb
index 70be74a..e3bf200 100644
--- a/017-visualization-strategies/Preparing for an Audience.ipynb	
+++ b/017-visualization-strategies/Preparing for an Audience.ipynb	
@@ -43,541 +43,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>IP</th>\n",
-       "      <th>Verb</th>\n",
-       "      <th>Processing Time</th>\n",
-       "      <th>Memory</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>22.157.246.138</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>267.350361</td>\n",
-       "      <td>24.810710</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>23.93.54.224</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>1224.039605</td>\n",
-       "      <td>30.189988</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>80.217.181.175</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>923.793208</td>\n",
-       "      <td>21.913377</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>102.132.208.215</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>192.397594</td>\n",
-       "      <td>28.280122</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>192.168.0.243</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>1144.946620</td>\n",
-       "      <td>36.602936</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>192.168.0.204</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>1125.075126</td>\n",
-       "      <td>23.781566</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>192.168.0.228</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>1039.575393</td>\n",
-       "      <td>33.590053</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>192.168.0.202</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>809.161312</td>\n",
-       "      <td>29.428942</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>192.168.0.135</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>761.188958</td>\n",
-       "      <td>32.882310</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>192.168.0.214</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>749.462867</td>\n",
-       "      <td>18.887157</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>192.168.0.92</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>201.643908</td>\n",
-       "      <td>32.380017</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>192.168.0.191</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>955.343707</td>\n",
-       "      <td>24.463487</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>192.168.0.154</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>1127.853497</td>\n",
-       "      <td>26.568463</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>192.168.0.143</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>769.216610</td>\n",
-       "      <td>24.704773</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>192.168.0.109</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1787.414328</td>\n",
-       "      <td>27.647682</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>192.168.0.71</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>1347.863855</td>\n",
-       "      <td>33.315192</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>192.168.0.174</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>178.048977</td>\n",
-       "      <td>34.587796</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>192.168.0.208</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>174.404476</td>\n",
-       "      <td>24.994123</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>80.217.181.175</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>665.744434</td>\n",
-       "      <td>41.115504</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>192.168.0.179</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>1323.865739</td>\n",
-       "      <td>32.946088</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>23.93.54.224</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1195.358242</td>\n",
-       "      <td>24.463732</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>192.168.0.46</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>983.256140</td>\n",
-       "      <td>29.478782</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>23.93.54.224</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1243.476958</td>\n",
-       "      <td>30.403902</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>192.168.0.252</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>921.348631</td>\n",
-       "      <td>33.173483</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>192.168.0.193</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>206.669334</td>\n",
-       "      <td>38.416699</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>192.168.0.163</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>677.539424</td>\n",
-       "      <td>23.493465</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>80.217.181.175</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>657.532860</td>\n",
-       "      <td>31.732799</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>192.168.0.45</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1160.986333</td>\n",
-       "      <td>22.645895</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>215.60.49.187</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>1302.508314</td>\n",
-       "      <td>23.771170</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>80.217.181.175</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>777.046858</td>\n",
-       "      <td>25.997951</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1170</th>\n",
-       "      <td>192.168.0.90</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>1247.673799</td>\n",
-       "      <td>30.596791</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1171</th>\n",
-       "      <td>80.217.181.175</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>726.656238</td>\n",
-       "      <td>34.073017</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1172</th>\n",
-       "      <td>192.168.0.124</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1446.164565</td>\n",
-       "      <td>37.009138</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1173</th>\n",
-       "      <td>215.60.49.187</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1676.334966</td>\n",
-       "      <td>31.893814</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1174</th>\n",
-       "      <td>192.168.0.3</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>1165.981201</td>\n",
-       "      <td>26.222610</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1175</th>\n",
-       "      <td>192.168.0.35</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>201.089892</td>\n",
-       "      <td>28.498647</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1176</th>\n",
-       "      <td>192.168.0.245</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>211.937550</td>\n",
-       "      <td>34.274118</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1177</th>\n",
-       "      <td>23.93.54.224</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>1100.146744</td>\n",
-       "      <td>31.535092</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1178</th>\n",
-       "      <td>192.168.0.244</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1159.776412</td>\n",
-       "      <td>38.054423</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1179</th>\n",
-       "      <td>102.132.208.215</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>220.999839</td>\n",
-       "      <td>24.429796</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1180</th>\n",
-       "      <td>158.245.89.80</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>207.495064</td>\n",
-       "      <td>20.348064</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1181</th>\n",
-       "      <td>192.168.0.149</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>1271.697597</td>\n",
-       "      <td>39.263784</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1182</th>\n",
-       "      <td>215.60.49.187</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>1009.347948</td>\n",
-       "      <td>27.337379</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1183</th>\n",
-       "      <td>192.168.0.52</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1493.776615</td>\n",
-       "      <td>34.425881</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1184</th>\n",
-       "      <td>192.168.0.199</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>973.849171</td>\n",
-       "      <td>31.516065</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1185</th>\n",
-       "      <td>192.168.0.32</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>597.004598</td>\n",
-       "      <td>25.668002</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1186</th>\n",
-       "      <td>215.60.49.187</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1434.205669</td>\n",
-       "      <td>28.648065</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1187</th>\n",
-       "      <td>215.60.49.187</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>1345.151705</td>\n",
-       "      <td>22.053958</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1188</th>\n",
-       "      <td>162.16.138.88</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>156.909895</td>\n",
-       "      <td>34.848323</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1189</th>\n",
-       "      <td>192.168.0.247</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>865.037938</td>\n",
-       "      <td>32.975227</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1190</th>\n",
-       "      <td>192.168.0.11</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>1152.879292</td>\n",
-       "      <td>30.924706</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1191</th>\n",
-       "      <td>192.168.0.7</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>741.202128</td>\n",
-       "      <td>34.229157</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1192</th>\n",
-       "      <td>192.168.0.143</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>163.108505</td>\n",
-       "      <td>27.415846</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1193</th>\n",
-       "      <td>192.168.0.247</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>822.803380</td>\n",
-       "      <td>26.120601</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1194</th>\n",
-       "      <td>192.168.0.88</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>234.924438</td>\n",
-       "      <td>29.698664</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1195</th>\n",
-       "      <td>192.168.0.52</td>\n",
-       "      <td>GET</td>\n",
-       "      <td>214.457586</td>\n",
-       "      <td>29.654625</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1196</th>\n",
-       "      <td>192.168.0.35</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1571.693268</td>\n",
-       "      <td>25.605027</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1197</th>\n",
-       "      <td>192.168.0.32</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>1525.050521</td>\n",
-       "      <td>28.926086</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1198</th>\n",
-       "      <td>192.168.0.248</td>\n",
-       "      <td>PUT</td>\n",
-       "      <td>1466.775167</td>\n",
-       "      <td>27.183005</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1199</th>\n",
-       "      <td>215.60.49.187</td>\n",
-       "      <td>POST</td>\n",
-       "      <td>1370.687386</td>\n",
-       "      <td>21.180642</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>1200 rows × 4 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                   IP  Verb  Processing Time     Memory\n",
-       "0      22.157.246.138  POST       267.350361  24.810710\n",
-       "1        23.93.54.224   GET      1224.039605  30.189988\n",
-       "2      80.217.181.175  POST       923.793208  21.913377\n",
-       "3     102.132.208.215   GET       192.397594  28.280122\n",
-       "4       192.168.0.243   PUT      1144.946620  36.602936\n",
-       "5       192.168.0.204   PUT      1125.075126  23.781566\n",
-       "6       192.168.0.228   PUT      1039.575393  33.590053\n",
-       "7       192.168.0.202   GET       809.161312  29.428942\n",
-       "8       192.168.0.135   PUT       761.188958  32.882310\n",
-       "9       192.168.0.214   PUT       749.462867  18.887157\n",
-       "10       192.168.0.92   GET       201.643908  32.380017\n",
-       "11      192.168.0.191   PUT       955.343707  24.463487\n",
-       "12      192.168.0.154   PUT      1127.853497  26.568463\n",
-       "13      192.168.0.143  POST       769.216610  24.704773\n",
-       "14      192.168.0.109  POST      1787.414328  27.647682\n",
-       "15       192.168.0.71   GET      1347.863855  33.315192\n",
-       "16      192.168.0.174   GET       178.048977  34.587796\n",
-       "17      192.168.0.208   GET       174.404476  24.994123\n",
-       "18     80.217.181.175   GET       665.744434  41.115504\n",
-       "19      192.168.0.179   GET      1323.865739  32.946088\n",
-       "20       23.93.54.224  POST      1195.358242  24.463732\n",
-       "21       192.168.0.46   PUT       983.256140  29.478782\n",
-       "22       23.93.54.224  POST      1243.476958  30.403902\n",
-       "23      192.168.0.252   PUT       921.348631  33.173483\n",
-       "24      192.168.0.193   PUT       206.669334  38.416699\n",
-       "25      192.168.0.163   PUT       677.539424  23.493465\n",
-       "26     80.217.181.175   GET       657.532860  31.732799\n",
-       "27       192.168.0.45  POST      1160.986333  22.645895\n",
-       "28      215.60.49.187   PUT      1302.508314  23.771170\n",
-       "29     80.217.181.175   GET       777.046858  25.997951\n",
-       "...               ...   ...              ...        ...\n",
-       "1170     192.168.0.90   GET      1247.673799  30.596791\n",
-       "1171   80.217.181.175   GET       726.656238  34.073017\n",
-       "1172    192.168.0.124  POST      1446.164565  37.009138\n",
-       "1173    215.60.49.187  POST      1676.334966  31.893814\n",
-       "1174      192.168.0.3   PUT      1165.981201  26.222610\n",
-       "1175     192.168.0.35   GET       201.089892  28.498647\n",
-       "1176    192.168.0.245   PUT       211.937550  34.274118\n",
-       "1177     23.93.54.224   PUT      1100.146744  31.535092\n",
-       "1178    192.168.0.244  POST      1159.776412  38.054423\n",
-       "1179  102.132.208.215   PUT       220.999839  24.429796\n",
-       "1180    158.245.89.80   PUT       207.495064  20.348064\n",
-       "1181    192.168.0.149   GET      1271.697597  39.263784\n",
-       "1182    215.60.49.187   PUT      1009.347948  27.337379\n",
-       "1183     192.168.0.52  POST      1493.776615  34.425881\n",
-       "1184    192.168.0.199   GET       973.849171  31.516065\n",
-       "1185     192.168.0.32   GET       597.004598  25.668002\n",
-       "1186    215.60.49.187  POST      1434.205669  28.648065\n",
-       "1187    215.60.49.187   GET      1345.151705  22.053958\n",
-       "1188    162.16.138.88   PUT       156.909895  34.848323\n",
-       "1189    192.168.0.247  POST       865.037938  32.975227\n",
-       "1190     192.168.0.11   GET      1152.879292  30.924706\n",
-       "1191      192.168.0.7   GET       741.202128  34.229157\n",
-       "1192    192.168.0.143  POST       163.108505  27.415846\n",
-       "1193    192.168.0.247  POST       822.803380  26.120601\n",
-       "1194     192.168.0.88  POST       234.924438  29.698664\n",
-       "1195     192.168.0.52   GET       214.457586  29.654625\n",
-       "1196     192.168.0.35  POST      1571.693268  25.605027\n",
-       "1197     192.168.0.32   PUT      1525.050521  28.926086\n",
-       "1198    192.168.0.248   PUT      1466.775167  27.183005\n",
-       "1199    215.60.49.187  POST      1370.687386  21.180642\n",
-       "\n",
-       "[1200 rows x 4 columns]"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
@@ -640,32 +108,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2d24a5bf28>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d24e9ab00>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "requests.groupby('IP')['Verb'].count().sort_values(ascending=False).plot()"
@@ -687,60 +132,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Verb\n",
-       "GET     AxesSubplot(0.125,0.125;0.775x0.755)\n",
-       "POST    AxesSubplot(0.125,0.125;0.775x0.755)\n",
-       "PUT     AxesSubplot(0.125,0.125;0.775x0.755)\n",
-       "dtype: object"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d24a5be80>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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AJOmX29vb0dbWhiOOORYAcM455+Dpp5+O65a5hoBwO8nbbrsNAHDbbbfh3HPPdfa3vSecDMvVrWd1VW9c/of5uO7RNwEAlWgV2ZHDzn7v7OW46Nf5k/DZUI1MF9Ls2NGb31wXT66DMNHUd8KOpcCgo+KHz28oTE95sHX0ov7I1ASIaCaAGQB2IaLlAK4UQvwCwOdhEsIfBPBdIqoC8AFcKISQpPI/IvQ0agXwYPRv4MixYm/v7MPKth5M2mU4RrXYV8lLV7bDDwT223UEhjXlV5BOO+00fP3rX8eTTz6JDRsSs4MrLfSLL76YK/1yGni66mOPPRZLly7FU089Bd/3MWXKFOd5gznRbC1Y0daD3SO/bt/PPxn/229DW/yPB7C9QjWatOT97Y8T9GA8mqznvXB1B777f6/jF+cciZZSekzKUAadSSFQ9QUyulUXrO3oxR3PLcW/ffQAq+aRx5R67+zl2HvnYThi0k6D0cVBQR7voDOFEOOFECUhxMRIAEAI8SUhxE1a2XuFEO8TQhwihDhMCPFn9tssIcQUIcS+QoiLxBZwus3FCdTYq/POOw9XXHEFpk6dqhx3pYXOg9GjR2Ps2LF45cXnIAD88pe/xPHHH+8sf/bZZ+PMM89M1QKAhJjZXgmujt4KOvuq8dVJe/JgeNzYUIk4Adl+LfPlYM6tWU/7O39+Hc8u3oDZ72yqW531QCwEhogXuOze13DjE0vw0lKrM2SuueHffvsqPnPT83Xu2eBi+zQMO5DPO6i24T1x4kRcfPHFxnFXWui8uO222/HDq67ER449CnPnzjU2jOE466yzsGnTJoWYtsGLlnHdZT9+wbYnrGoPPVfkM5REbS1mmYEg0QS2LiGb1Z9CtOrNE0wZLySG4BLLkSY3EK+rWtATxQNUnR5JW9dzrRd2iLQRErniBHLW1dnZaRybMWMGZsyYASDceexnP/uZUeZLX/oSvvSlL8Xf5RaM+m+HTJuGX/3pEew8vBkTxiY7cj355JNGnX/961/xmc98BmPGjEnts1Tl12zuxdrNfZg6cXD3ERhqSCEg1Xb5Mg+ZJhC1J+es/gTFD4YA+f0rKzCiuYhPHz7R+nsxEgJ+jhX3UBLDlarUBIZm8vWiJbHr2gZD8L341gYcOWmnLUp87xhCIDb1bEtpI4T2145//ud/xoMPPogHHnggs0aPTUrbo0loVbSdonyGQ60JyPEl/9ZkDhqEOYAovBdX/ul1AHAKgUI0+7lXwKxO6cU0lMTwEAmBrGvTDy9c3YG31nXiIwfthlLBq1m7fmbROnzxFy/hm6e8F185ft9+9Lg+2CGEQJ44gf6ag/qDRWs6MKKliPGj3Xvu5hMBwA033JC73S2dSbKjt4Lmooemop3lm7V0I1qbCnjfHv3TUFYamkDECfQMjSYg5yrpzbKliWHKWZ/0Fs4z2cprGop4k4QTGCIhQGq7OvRLvvrBBXhy4TrsPqoFl55yAD584G41tbc6Gq9vrjGtCkOJbZYT6M9knS9YbPDRU/GxrqMvvdAgdMTbwlLg7fVdWGgZ8PJZfuam53Hq9X/td/2r27M1gQ2dfbjn5WXKefVaacqJMamuH9TwFlDQipEmUIsr5tBoAhEnMERRw9J811Pxrb/r2vOazX147+4j0VT0cOMTS2JOIS8kF7OlAzi3SSHQ0tKCDRs21CwI0pPD6S/w4GBLkoZbWhMAzOsXQmDDhg1oaWkZcN0JMRx+l5pAR1+iCVz06zm49N7XsHR9V3xs4eqOAbcNMCEQ1K4JDI45KF+lhZgTyE8MD6UmUBki7yB5bb2VfJrA+s4+HLrXGEydOBqBEHGiubyohZAfTGyT5qCJEydi+fLlyJtSoqO3ivaeCnpai9jgiBNYvSlcRZbXl7CmefBuSyAE1rSFk9WCDrc5yA8E1rT3orO5gI5hTXVpe3NPBZvZqjirfSAZqPXAmuge6+22tLRg4sSJAP6Wen4QhGsxV59WRpxAbA6yaQJdoQbWW01e2HpNaLKaoB+cQFxHXXpSGyQxnIsTILl6HdQuAdgCnED0wHRNoFQgVHw15YofCGzo7MMuI5rR2ecDItmGMi8KNRDyg4ltUgiUSiVMnjw5d/lbnnkL/+/+BfiXE/bDv554gPG7EAKnfDMkVr97+vtw9rRJ9eqqgZVtPTj1zscBpG8AvnZzLz7+y8fwd0dMxH99pj4bsP/48UX4wV/ejL+ntX/ubS9BALj93KPq0jYAnDLAjc9P+dEzWLimw3q+ECLRBKJjXAjIHeOkSYy/d3wlNpCd5eQk0Z9JazCUtLx11qIJSAyNJqB6edUDv3x+KX7+zNt44uszjMWEHBu92op+RHPRSD2yqbuMQADjRjbjnQ3dEAj3LakFBar9vg8GtklzUK2Q47XPQfjwZzDYKRXac5KUcfbaOo6PpmL+x72qvTd3X4cKC9e4zTabe6uxOq5Pxn6QqOqxEFBWdckzH8j7KNtLXERrr6Oe5kJb+yvbejDpsvvxm1nv4l9mzkHVD1As1BAnEEedD/7EVR4ETeDb972OZRu7rWNb3i5dExjREq6V+SWv7ww1yl1GNEdeWMkYy/ueJcK3liuoP3YIISBRqdoHE58QyoP8RKSnysiWdCVM9qmW4b+pq4y577Y5f68laVx7T6WuK7Ba0J/Uz9LTAkheVu7lIU1CtlUvf+QDmXDkqYk5KL8UqFX7aO+pYG1Hb3ZBDU+9GZpQv/G7efjTqyvx1vquWDDWYpYYSnPQYEQMb+o290OQQlBf0Q+P0shwYrgv4g1aSwUQwvshhUBzzvdsazEH7RBCQD48l+sXFwIuQVEvyBWIK4eR3qdaFlyfuek5nHHjs7nLP7lwLSZddj9WRV41ej/rSVjVsnLsrNG2CgAro2sY2VKM2+ITukwiJ4NyfM2+KzEQM4dsNxYC/dAE+nJqoh+45nEcddVjqWVsQkg/UvEDFiy2lbmIVgePE2izCAE5+euawEiLJhBfP4XapYCIvYOaS/mm1WQs1tT1umPHEAKWlaHt97Qy9YIUAiMyyGfZp1qCupas68ouxPDrF0NXyVc17aFcDdBd9mPvmnqglve4sx/BXasisn3CmNb4jvENSWTUcMFizvAVTqDmpmPEcQLSO6gfdaxq783lrdQR7XubSkZaOqALpqovkmCxXN5BJqcyWIg5gToKAfnebeoyzUFSAEthIO+VPIePDfnRIwKioDwpPJodcTA64kVDgxMYOrjs/YomMNjmoGiCy20OGuD4WN/ZVzNhJQVVPV++WlZz/YnwXd3eA4+AXUe1ME4geZbyviemj+TcqsIJDMQcJF/q8HstJh5ecs6yJJHbebe/jPPveNl53kFXPBzv9pVWZ3JMPVoNEk6gFk3g7fVdmHTZ/XhswZrMc/oDIcSgcAKjW0MN3GYOkkKgR+OPhkshoPUvLBPeU8HNQTk5ATlOdHNXb8XHo38bnPtqww4hBOTDc9n7N3QmA6IenMAryzY592CVE+zwDE0gIYYH9gIc8f8exVd+OTuqK9857T1h3/tri/3sTc/hi794UTlWy+Raq9ACwmjhXUe2oKlA8cvFNQEpWDyL6UMhieshBPpRB5cX3N/88TfW4tEFa1PPXdXuEAJ2KaAg1ARqTyD3cpRp88+vOveGGhB4X+q5MBszLBQCbZaNhvqicSfjBOS1JuYgPmbCvx4RvIgY7om0srzEsK8tGiSufegNnH/nLMxyZDOtN3YIISBhG0x/fnUljvuvJ1LL1IpP/eQ5nPnzF/CHOctxx3NLld8kMZy1SOwPMaxDTnSSDNTh2l8g1gT6aax8eekmPLNovbUveZCnZMUPFDPWqvYejB/TAiKKz7dxAtItTzUHsbYH8PjlyzyQtBGAO2JVoq+q/l5TUJr23Q9EfE9qed7yPSk6SNAn3lg7IO8y/h7WUxOQE3pbT4omEN3/1qbQrPOB/cYB0DgBZvIjCsdsT2xGyvdAZB36wkOaNjOzCtQJO4QQkPfYZg56bok6WdWLGH5jdQcuuefVOHmXhFyRZo1rUQdzkD6Z6FW5vFfkKqmem3zXlpIgu+zVD7yB0298FovXhvbzVe29GD+6JcyXEweLBbE9d3OP1ATM/vh1NgeJfggB3mxXX7o57Mr7Xk/9XcJKDGudqtS44pbny3epVDDbWN/Zh3NvfxlfvWt2Zn23/vVtvPS2ueLl7+FgRNTathyVzy1+bwRw7rGTMG2vMdFXUxMgIhBIiRjOa+PXOSQJSSz3VmvXiPuDHUMIxN5B2Q9nsDkB2ZesiS42Bw2grVojGCXkCs7lura2oxf/+8ibNRFatZTNU/K1FaEWsLGrEgaKtfVi/OjW0FMjqqDqC4xsKaLgUeIdZAnQ4Y+8HkIgawit7ejFnc8vdf6eNQZ1N2CXMLcJIcM7qBrE/c4lBKK/0mwq8w5xyPryENzXP74If5y7wjjOU0UMlXeQbEWahXwhUPSSu6sSw4wTkMRwOTmPo6uvah3/fjxeNCEQmZP6HOkr6o1MIUBEtxLRWiKaz479JxGtIKK50b+Psd++SUSLiWghEZ3Ejp8cHVtMRJfV/1KyYbP36+/8QDmBzFVs9LM+2fzXQ29gUhRRy3/v76TU1VfFK9pOUXn5BakJuMwD3/7jfPzosUV44a0N1t9tqCkaNRB4+PXVufu7uaeKnoofagKkpo0oFgijWopGnAC/r5z7GAgnYKaNsE/OX/3VK7jivtfxNstfxFvNSvSXl3i0Qa+67AfxgiPX2NcybRYtmkAceZtjEitXA6u2ywVSfV2Vw7827yAJqQlUg9BzKtlDwazH8yg2Qdo0ge5yFe+78mFc+9AbRjuxOUi7PrnFZ1534YEiz2i6HcDJluP/K4SYFv17AACI6CCEew+/LzrnJ0RUiDafvxHAKQAOAnBmVHZIkGYO0jFQTSDvHKIvsn/y5BL77/0c/1/55Wxc+Ktw4/Ss/D96E1ITcCXukvVtcJDfNtQyud7z8rv4yi9n4+6X381VXsYISE1AEQKeh5EtJYMTCByr/4G5iEqiL90ctDFahXJNSxF4GWakZm3DXVc7Vl5YO9hX9eO2a9IEqlITMFuR169zFzaEbZo3nZuDBiOYyuYdJB+BFAJ+IDUBc58B+awVTaBiagLSDGnTdlwLPSnk++Mg0R/k2WP4aQB5aerTAdwthOgTQrwNYDGAo6J/i4UQbwkhygDujsoOKWyDXH/pB2oHzzpb/p61wk+I4Xz9mbdcNRG8+HaySrfZbYFsYti1eh/d2qSUy4Na3mPp0/9mSpoIiTBnUCQExrTEJB0QZhEteoSRLcXYRVTatPmLyjWegZiDjLQRzk7LD47nkiEF8moCNoJSr7vMzUE18GFylWojhuX1Z71LQSDCxGyWscG1kizCekVbD/62cnNGj0PImmzeQRI95QBCCPiBiFb68lyTE5B3NPQOSoRHUs6tFcpyuqYj4wy2Jk3AhYuIaF5kLhobHZsAgC/flkfHXMeHFHlWOlxbuPGJxTVtvg3kN7lkCguh/s3Cb2ctV/rAx1XJYrdNQ6wJ+MJ6PdLNrhYh4LOVUxbGRllT015UDukiGZqDGCcQhO6PI1uKiSYgtxAU9ol/IJYHc1MZ+8XKJvjPvNksQrmllC8YKY8mUK4GMYfRL2LY8kCztL4VUf6i2VE8hG2hU4s56NhrHsfHrn8G3/z9vDgAMgs2TUCir+LHz9LFCXBNwIvNQZHTBw8+jP7aninXHDd1leMsuDEnsJUTwz8FsC+AaQBWAfif6Lht3ImU41YQ0QVENIuIZuVNF50G+cLnMQfJFUhvxcd/P7wQn/vZ87W1lbMv2cSwLFdT8/E5fDVis9va1HgJPrnbtIExrdLXOr85SL4YeVJTx1GdOetf1daLgkfYdWRL7LMNhJpAqeBhVEsp5gQeiYJw1GAxJgQGIAWEEFiyrhPn3PoSALcmkLX9pEfhJNjuEIK5OYEcArePaQKuBIu2KsspLqJZ9/DpyGX59sh9ul6cwMyX3sW3/vBaeqGoqr5qYGwCI4VRT8WPeaJCGA3GT1W+eERGAjmVOxBxOR3yEn0h8NH/fQrvvybMLiyFfB5OpR7olxAQQqwRQvhCiADAzxGae4Bwhb8nKzoRwMqU4676bxZCHCFtvMnRAAAgAElEQVSEOGLcuHH96aIVNvVUX4XIwbd8UzeAZNWbF7k5gYxyAyWGOeSLyqtyqbmAOrnbXkAZ6JZ3pQ4kwiTP7mayRZsbn1GvEFjZ3oPdRjajEK3aZJcTTaBkuOby1WpgUd/7g0CELo95wTUF5dkQ4at3vYJDvvsX63l5NYGsNoFwMpQT1cbOcubiRN+C0bbAyLqH8meZG8j2LihxAoPksedaZFQDEU/AnBOAMMeJR8mYkzb8Ve29sY+/PCVNE/ADgfVRwGoQiNhFdKvWBIhoPPv6SQDSc+hPAD5PRM1ENBnA/gBeAvAygP2JaDIRNSEkj//U/27XhpgYzjGY5OBbtjEUAnvuNKy2tjJ0gfycgFq+tj6oaLKs1gopkzHXBKQQePyNNfjtLJWobeuXOShbCEiB0dZdRne5iivvmx8LZR1VX2B1ey92H90S1x9E9txnFq3H3HfbQk5A6yuf+BVNYEDmIKFEi7ou1d5EcpSQaCw2tGgJymoihrXvIScQfn7+rQ346VNLjHNsSCWGHfdwdXsvjv7+o1i6IfSKku+j7Z0pD3KcAGAKAVusRsGj2ITJu8HThYcmSHVnsaO+/2hUzj3ubftPrOvsi91uh0oTyNxUhohmApgBYBciWg7gSgAziGgawpG7FMBXAEAI8ToR/QbhFlFVAP8khPCjei4C8DCAAoBbhRD5Il7qAHmLcxHD0eB7Z0M46exVqxAYoCYgNzWpNViMv0j6as62WivwFY4GRQhE9+y822cBAD57xJ5xSy5zhQ21mIPkS7Gpq4wFqzpwx/Pv4I7n33GWXdXei4P2GAUAMScgV2JNBQ+jWoroLKu+2vzFqxcxrAuBJeu68Nzi9Xj/frso5eLVoauiTBfRnJyAjRg2vIMC5Zoffn0NvjpjP3edUa+lVm2LE3A5FCzf1I01m/virT3l+5hlDqpXnMCSdZ1Ysq4TBY/gByJVk5VCIDT3mFHmPFNsHDHMhEDiLoyoHrMNvt+FBF/sDBUxnCkEhBBnWg7/IqX8VQCushx/AMADNfWuzrBxAvrwkoNPCoGxddra0WjXMdkIgcjX3dXDHHU7j2dPdkIItPdUMLK5iI6+qn0VFp1rC713oZZUCrLNzTkSyVX8AKvae/Dh9+4a1y+EwIqIZPvZ2Ydj8ZpOCKGmqFbjBOrDCQRCGLnk//6WF42d0ORzUIhh1mzWLTI0gQHsS1bWhECWjJZ9jjUBywLDObajv3LSk3XI8v/4q9mYOnE0vjpjv0GJE/jw/zwFANhlRBPWd5ZNTQBh3p9yNUBXnEQueR4uW79MIGdL95EIC7fG5Acibnf5pp54fGw1LqLbA2IbZIY5qOhRrKJKc1B/28r6PRACd7+0DE+8oSYH07mA/hLDHLaVlLqlYnK8u+yj4gvsPCIUfjb3PHmkP5xAPk2AP6f0G7C+s4zeSoDxY8J9i71oVSaFwIQxrRjVGq51eHZSRQiwcTEgc1Bg+vDbkGgC6d5DLmRpAkEgMPudTY6IYZ0T8BUXzTQzoX4eYH+eLu8geVj+HguB6PcH56/Gfz20EMDg5Q4CgDHRws7GOSV7K0RJ5IhxZ6wbcbBY9HvoZWV5V1K0PtmGLwR2Hh72aUVbT3zOtuAius3B5fIo0Vz0mCYQqqx6+YWrO/D4G257bV6/fiGAy37/Gs69XU0TrHMG9SCG5eDkVVX9wDoypSlo5xHNANJNaLVwAnKiycMJcAGVFTovhfUeEScg87hId7s9xrRiZLSBD+cF+PvK8+cM2BxUw+5tigmPH8/ogz7x6mPuzueX4tM/fS6XkDY1gXxCIFnFm7+5YkL0zX7KvhzjlvrZ4qOe+1oAwFjp4mzhBHR30HC7gMgcxMpyM49HaXyjWwOW99Bje1+vbOsx0lcMNnYIIcBfEv1h8UHcXCqg4gss39Qdm4P08XnSdU/H9nFrW5YBvXhtR2Ljj465OQHtr7MlN0yPJ7OWXUe2WM+VE4dcmdhXN+pKLg/6QwwD2VHJ70Y21JgY9sJ7u2JTD0a3ljCiuRhnjuSagMoJ1CeBnBD50gjr9mJ+TP+ct12OpRvcWqx+fTxtBJAk2MtCTOpaOqtGYJuCLojHj++sozoI5iCJpqKHYU0FqyYQ2//l9/i/NE4gGdO6YuSnLH76Yu8oEZt++ipB/EB7G5pA/cDHWFoUY3PRQ6Ua4OoH34htnXc+/w6++ft5+duyHPvID5/GkwvVeAfheFEGwxwUE3DR9/fuPhK7jWq29lnXBD538/P4w5zl4ODldV9rFxIX0eyy/KXf0JmeTne51AQic5Akhle29cTHpCYgA8YAbQ8Bh2msVujEcBZcK/5sF0uhfVd/T4sj0GvuqwRKfVlCWg8Ws/WU95+bNGJzUKwJDB0xzIUKgTB2WJPFRVRYA8PS3DuJVAPbsCaVZk1zjZb3puonQsAXoqEJDDYqmnTlq+bmooeOvirun7cKX/ngvtgpWg3PfClfDhvA/WIvilIe6/vQAnbbXz2yiEroK/Yxw0oIFNWXrYojXX54lEt9zeY+vLbcHZKfN6BLXm8eToCTs+s70+tftrEbRY+wSyS0ZAj/irYeTIiEwKgMTYAvDGqZcBav7VA9joSoKbmboglYUxLYoQ8xXfNL4yX08RlqAsmxrOcjf5V9tBHp/BB3m5T9lPdYeuJZXUS5OSjlhthMRbZj+m51Y4aVFHPZBXfOCsda7A6a2INsgoFzAlwKDGtS7z3XGP706ko88Nqq+Df5XparQUwqB4FIXNobmkD9wIcQNwc9u3g95q9oj79zwu0rx+8zAJ8LE+9uVDdz5+PalmtEz01fC1yagITcGDvtXB4JWvZ9axkgvxCoJVhM0QS60jWBTd0V7DaqJZ68ZAh/KARCE5FNE1DMQf3YT2Dt5l589H+fxoPzV7Nz85qDZBuuZ5ChCRjl1e+69xCHfn19VV/Z6DxrQxT9Z1tP+b1V0pnXoglU82kCNpOJzUtnM3v2RDA0gb9EcRkGJ4BkzCpmLpZKmo9pfcfAeL9pItzx3FIlhbgk17lJzhfJ899qXES3N3Dpevkf5yvpfMcOT6KDhzUV+7UzlGu4Stu1bhfVz0k4gf6bg3RUA6GsMDyizIRuPOmcTs4q5qOcHkJyxZjH5qwEz3RkC5nxoxN+w6PQpOUHgpmDoo1l2GpQIclrCBbrrfi44fFFuPGJMKjqjdWJliSEyJVeOxkD7Bj7nCaILr57Du6bqwbb6+VbUryH9OfeXxdRCVtXuRCT5sLnFq+P+Z1EE0hs4jrkwqW1VEjd5tTmRtlT8WPBLyGzeUqMGVaKPcg49JgAGQcAaMQws/Wr5iD13vOcWXwXN8Du9OAHQdxOw0W0nmCDjK+K9Q26pUkhQe1SwPX+PrlwHSZddj865UTkKKdvVp7X20jpgy0hF3uRZHCLbdUnz+RBQHxFMv37jymDM09qByB5GfK4IPJJubMvu/7dmRAgoniSmTA2FAItpQKaCp6aE8nhIpq2Cp+/oh2n/OiZWAAAUBYRQSDwqxfMBGa6eUIn//XPaYJIFwCAOZTS0koYxHBV5QTyuoi66gNUId5TCVNVn3PbS3Fyt9hF1KEJCCHiRVNrUyFVE7BxUr1lc3LVkx3aOQFzwiekp5Lm5wCmEODCJBBCEWi2XE0+W6w1XETrCJs5qKuvGgeESOhCoF97xGbM2TIiMK8HRT2IYSB62WMVljJNDjwIiOcwWb25FxuZxw43saShFnOQst1jjvdArvgB9Znx46Nai4rWosYJMLt+yoRz/WOLsLGrjO+dMSU+pggBx6kuLw+XgK/VQ0k+ywWrNuO+uStSTVJ6zX3VQLnHmeagHAsjGydQ8UW8XaKc++S7qN+3F97aGAvT0G3bfT9s+XVs+2Bs7tWFQCnWGDkSzsOmCfB3NvzreaSM6VaDGI7KyXQmrDm7JpA8o606d9C2DElG2TZxlgSiRP9kQPoLXIps7a6BLTc6j4nh/ggByzHeXphp03Fu9AP3d9dXJDxfTF4eNc6hkoMYrjWNAzcH8UlqIhMCI1tKymqQE5qVnOag7rKPfcYNxwdYGghVCNhP1tV6OUb4XGWbYPJClj/lR8/g4rvnZpQ1NQGVGE5vK485iNfXU/YNryAp5JNiaiXrmUdYsUDpnIB1IjXL67mjxgxrghDm8bhHjBPQj4U9Tsw8vMxw3RzEOAE/UBc4tkneDxLN7LnLPmztW72xQwgB/vDk6mOdxfVwmEbq9IsTyHiBpRDg9kiFE4BAR28lXrn0xxxkQ8VPtvHju2+5wDUB3UvBRpBlIVkRZZdV3Dcd/eQvus4JAKGXC9fsRrYUlTQXXBN37vCloewHaCp4ykvPvV9c91QXorE5qJ/EsFFe++7qR0/ZN4RcX1WNE8hqWn98trb4se6yz3J3SSGgnqNXwX8veV6qd5DNbm6LcleJYYr5P90kJDUhmybAEbB3iRfQXUSTTWXChQcfdzZzD+96cwrBX0/sEEKAQ05oNk1At+elqb5dfVXc8dxS02c7o/08aXan/udf8I3fzYvKZ1RorcM8iU/kFAkBq+tb9LeYognY7Nfd5Sp++uQS56qtP95BpQI5r7+qCIFkxS81jaJHitYxsqWIdkYOcuFSUTQPd7/K1QBNRc+5OHCagwxNIPrrmHzzPHPeB91N0yVEDrziIYt3kKoJZGpe2sXbSuucQHLcbv7R2+TPNkz2lkYM59UEdGLYnjpCzxOkcgLmfdI8RE1imMXHhNltk/7aXEC5A0c9vRPTsEMIAb7iksSwTgoDoScCR9p89eiCNbjyT69j8drO+Fhf1c98idLyiwCWlzDHhHDq9c8ohKTtFO4aK/PryOtbtrHbyGHEd4zS1VZ15Rh++cHDb+Lah97An1+1bxOREGT5I4aLnudM6MYnbsUcFFWvC5vWUhE9Ze4dFKYQ8QOhELdpu2JVYk3Afg15zUFJH+zt5DGBKWYK43z3efpvZW3M1hqda+srP9RTrhrpIgxNQDufT5QFj1K3l7RqAhah0dmXPHuCe2MkMqWANXeQvARCwgkUPDIS6vFIeV8INSWKxcxa7zxJebBjCAF2Xytp5qCm/JyAtCXKB9neXcEBlz+E7/3f31L7kqkJGN+zB8Xr2v6qVr9rRQiQUubGJxbjkt/MVTqgaAKGiygzB0UfpbrtyqESewflGHHVOE2x+6WQE0WpoJp95Aupm52aiqS8dH4gcP4ds7Dvtx7QXERTzEHVcKcy5z4BTk3Arkm52qplm0dbPWnXoGsJujnoyYXrUqO09Uu3NaXGCfjGcf2Z6o+YC/hMToAtUKQrsK18V5+qCYx1JpGTaSOSOuSY4rUmWUQTIdFaKhgLhNg1mghB5Kot0Vf1FX5teHMx9A6K8w0NjS6wQwgBjlgI5DEHpTwE6XMuB9zPng7dBm0ufBzWAc0O3fLM2+pP/VkY2IQA26TD89TJoK8aGKstJU4g1RwUfon3C3Dcs1rMQYEIdwSTbnU2yP7uNqpFMfvIjzoBXSp4ivrtC4HHIu2HX3uaPb7iB6meNy6txSQABftftpt8zrOZiHJ1hnnFfR5vZ1hTIQxU0k6YlbKvdp55ycUJVF2agHbP+e+FDE5Auog2FTzsEZkFbU4XiiZAfB9rdTc1fdVPMD2G+O88TsDmmht3ncLP/FrK1QAjmDPK8KZCmDaiYQ6qP/iQkBPaWosQaI2EwB6j7cnVOGQYulQ9dRc0F7K0vZu0nZ3qpRyW/UAxybjssnIVUlI4AT1imK+cw79ycLvSDrh2WOrqq2KNZpqrRkE1nucmsKUb4HjtWSWagCkEbHlsANVuneaSmqUJuJ6tKxOqS+C4zEdcQ1D2IshZb9jH5LcxrSUIYdqm+b0LAqG2q9eXkTZC5QTCH7JMTvz3LBOJdL/9zYXH4BsnH6C0w9GpaQIjW4rwKEyYyMsnE3703ZFKmo9nueBoKZljI/YOij6rmkAQ76cNcE1Atu287LpixxACijko/GLTBEoFwk/OOgy/+8f3A0h/CNI/vhp7PKT34d9Pcg/QNJNPf7Ja2rfr08xBLFmWrR2uppreQawtae+NzT0uTUC2Hf59Y/VmPPHGWnz6p8/h6O8/ppUV8LzIjuqYAOR932un4cpxcpiDSgVShBmvl7skpnECZV9ExHBS+biRiSnKdW5vFDAlV62JOSgpw5+ZK66ACwdudjDMQSmTJv9pdLQa7q36iobD791dLy3DjP9+0lmfvaXkqM1FNMt8pXMCNvPYW+s68d8PvxEnWdtn3HCMjXJ92TgB3RzkeYQxUcCYb9UEkslbzywa9lmekBwb0Vx0ek9Jjzw1TbqvCIFhUgjEmkDDHDQoSDMHERE+NnU8y0jprifRBFRziAujUuyVaeiPOSibEzBXvHGEcnRuKcU7yKYW+74pBBSNQdMUfvHM2/j3383DG6s7jL5WgyDUBMi9uq4GAofvPRaXRqs/fm2AacorFTxnojg+FjLNQQX11Zy8cyKEXOf2VQPMfOldTL/6sdD8kJzBzk3KuzQBxUzENYGazEGqJgCEE/XUCaPj41wTWNnWg1XtiTuzfl/1CfzpN9fhR48tjr/n4QT0/ufRBD5/8wu48YklWNkWapEtxQLbEMYs39XHBWgImUROCZaDdBGNvjsCBWycwMgWM9VMbAb1ws9+iiYwormgcQLGZQwKMoUAEd1KRGuJaD479t9E9AYRzSOiPxDRmOj4JCLqIaK50b+b2DmHE9FrRLSYiK6noWI9oK6y5A5A6y3kl25CSJPEMvBIDlhblCKHnFSzvCmM31JrzX8OjxMoWMwshiaQxglYzrPtF8Cr1H/3A6Ekh1Ps9b6IIzHdmkCAg8aPwq6j7OYgHSWNkQ6EiBOt8eur1UV00i7JHtRp3kHPv7UB7T0V/HneqngCyetSajuepsWlaY+KOSjaXKWn4itcjuJ+KoTSzyxi+MH5q7BgVeKo0FOpxu+fa8FkaAIKMWznBKQ5txoE8CjU9OQCw1ZeNwcBSeoIewoIdSKWqVb0PvMNYUY0F51C0otMsPI9EEKg7KucQGupiIBxAkOFPJrA7QBO1o49AmCKEOJgAG8C+Cb7bYkQYlr070J2/KcALgCwf/RPr3NIUPEDbOwqW19A3YSQJqY2x+agcALJWuHLSahmF7D+mIMs53BNoOgRqoGwepjIU3nuoLSVm/xo20ien6UTw0Krh6vr1SAkhtOC2qq+sO5vK5vX74FNCOhJxuRxFyp+xAmwqXDyLiPYufbzeit+nK32d7OX2+MEtPKueiTSOQHXFai/SV/53kqgPDedEwjPs69O9aa4ttVU8KzmIH2S7o8mINFT9tFSKoCI4jHLif6l67uwoq1HI4bDixg7rIRN3RXVHBT95S6g8rjyvKLPnBjWM4gGbOUvY3OkgAt3OUzOaSp6aCqq17rVaAJCiKcBbNSO/UUIIe/qCwAmptVBROMBjBJCPC/C0XQngDP61+V+gD28dZ19VlMQkH9rPcDUBNJ8mYEkxbBVE0g5r16Lgr5qkp2w4HmZbnolywRr65WuCfC51hZcIycbfZLmL6nMthiarex3oBIExsQOuD26mnT/7cBMEyLbtiEIQnuurgnsv+sIXH7qgWEZx+y7oauMt9d3YVRLEa++2xbnsXcTwy5OQN0YJYZWTRqvoXACkTmot+IrAlURAlF5l5063bNHdUCQtnq9f3pv9TpSvYMqfuyVI8fWP/36Fdz14jsAgBk/eBLHXvO4wQkAoRBs6y4rYyzJIiq/J8dtez7wgOGRLUWlrioXAtF1yWuR/NTISAi0FL1Y8034iG2HEzgPwIPs+2QimkNETxHRcdGxCQD49lTLo2NWENEFRDSLiGatW7fOVSw3BJJJ+GdPvYXZ74Qyragt/WuRvDJOQE7+aelugf5rAv0jhk0ovteefcUhRDLMbRNs3Cee80Zb5dkmEP47UahF/VFzpeWbflSD0BxEUYCNDX6kLehwEdP69QiHJuC63TL+QfcO8jzg/OP2QWup4BRYrywLXS4P2XOMctxGsAMpmkBV1QROPXh8VM/AzEG9FV95bro5KK1O/bDBPSm8kPyrawLqd1MTcL9bPWUfLdG7zRcud2nZXHmdslSoCZSt76R+vbomwCOG5en6eKoGgSJMwgRy4QFp/pScQGtTIYyOZuagrUYTSAMR/QeAKoC7okOrAOwlhDgUwL8C+DURjYLd5dU5UoUQNwshjhBCHDFu3LiBdDEGt3k+vWg9ANWzA+ivJhA+zGxNwG2vTCMjB0oMN8UJ61ROwA9EvBI8bv/wHgci6UvaDlNqsJg6SajmoKRcEgVMmLuszaiTawJB7CJq97oSQqDiCyWqWcLV7ZLm3+8HwlgE8OvQIYVAc1E1B8nP+qp3v10TM9Gc6HoPnpiQr4B2H9lxmxDg3kVhu8CFH9w3+k0va72EuB4JueF6VROotpQUNm8Y/RoA9T3Q3yenJqBrMnrEcIrQsGkCeTFmWBN6K4FCXsdtaN+lTV/vg0cUaxnDm4rKedVAKFwYNw9JHkpyAi2lAgpSE4jOHyrStN9CgIjOAfBxAGdFJh4IIfqEEBuiz7MBLAHwHoQrf24ymgggPaqqjtAn2deWh/bZXQcgBOTKWg76SsYKv6kQDtQsLyId/RICbCjKJFQ6JyBX0sObCjhy77Fh33I2xi9BfpaDW/UOSsrJSbRY8KzSn+8bUA0EPAoFt01AxgLFoq3kJYb1EH79enTIDVCMOAFGHLo2Z+ku+9h9VAt2HamS2K7bbUssJoTOCST+6/12EW1tsvbXps09u3g91nf2WVwg1e9cI5ZxHrJ7umkpqSNdE9AXWB1swdBdzi8E5IJIXp4MGNvAUqMbLqKxPQhWc5BHFC9gRrQUVWcIXzANORxz0tzTp2kCLcVCvDhLNIGt2BxERCcDuBTAaUKIbnZ8HBEVos/7ICSA3xJCrALQQUTTI6+gswHcN+De19Tn5PPqzb0Y2VyMg8MkalxIAGCrm0xzUOQVM8ScgNwyk3vfFArJYCMW7BKItIgF1ieLWhwLAYd3kIxYLhXsE7uy/69g3kGWstVYCJgPLC8nwFdl+nEbpBBrKqpZROVnudID+84xZcJoI4rZRjQCdpNhIIQSP8Br0kunrTNs5iBAvW+qEAjLn3v7y5j54rLMVNJ6yvI8+0Ho3dUjhvX7wTm93oofe3ll2dBHaByQvH6eJkO/PuJ/Lc/LI8QbRY1sLiqCohoIZjZKNIlAJJxALASamBCQnkmpV1M/5HERnQngeQAHENFyIvoygB8DGAngEc0V9IMA5hHRqwB+B+BCIYQklf8RwC0AFiPUEDiPMKiwrbjGjWw2Bk2a5HVt+hy7iGaYg+Sq1fZS5FXfJa5+cAHum7si5aTko9z4vOwnm8oUpe0xChiLPXYE8NMnw4jltEWIsglOiiagJiYLL1zuAazDIIajtBG2CTEWArWYgwxNwG6ac0Yox0JMDRbjwWnVVCEwyuib2pY6eZj9Anq52YLU55bnGvSy3Eed9+0Pc1bEEyOvq68aZBLDVc2UEwhhmIzS+hTWkRwoFcjg2/iCgZuDshbOI2MhEBaMhQDXBOI4ATl5I/7Lu8kndzl2hzcXDWHOiWG5SKgGQcIJtDBiWNOchooTyNxjWAhxpuXwLxxl7wVwr+O3WQCm2H4bbAiYUnXcyGbjJqdpAh29FexsbD/JI4bdA73oJT7MaZ4bNtiK//6VFVi3fx9On2bn1vkpcpXEcwfJ1VWoCSTXvbGrjLnvJvZ66Upqq19Xm20ykB/iieWsLqxacrdC5H9tW5lLt9yiZcPi3HECgbBqb67HWPajHDUpmoBiD9e6NnXCaMMrrZaREGoCqu1afwZxvalCgJkKlSjh5KpmvrQMb6/vxN0XHKMsWvJ4tvHFEFGYqDBryAshsJLtr8HjBOTqmINnfe1h5qCsOVNPEBmbgzpNc9Db67qiOin+qy5+RFyWm4M4Kn6gOEzIdz8IEpOfdBFtKRUsDhtbsTloWwQR4bF/Ox5nHb0XgFAI6BNGGifANynnSFxE3Xpv6PMefq41bYTtt56yH799tkmSv3SlggePVGJYrqArfhCag6LrXtWe5PAhkHMXMLkXASGZNGN/cq2chBRCAvZJQRciXiQ4bZOynGhsbqy1EMO1aALlqP9NBVIWD/LeEZESMGg1B2nHbBpVGvRgMVt2y/Aa3HXw35RUEdqNkxOjuteAOR4NTYC9B4WUOA+lDgA3PL4oqUPnBHQhwL73cHNQxqTZrI2BRAgwc1D09/rHF0d1Iv6rmkGT+y81kxHNReV++Io5KDm/GgRxPqlhpQKIwgykHoXXWtsyceDYIYSAvPn7jhuBwyMS1K4JuAeRay9dOejTfJmL2j6ktcD0/BDoLqv2c+McNoyICE1FTyGG48hKXyhh7/oeCzZzCxC+AFJ4yLay9kmoKJqApU7t/AK5XUSlecBGDNvyvACWOAEhrB5dWd5BTbp3UPSx4KmeMXp+od1GtWTa09MQRB5RvH4nMZxSMf+tyaEJALBqroKZKpL61O/6hjB5eCYh9PQSfKx6imYAqPc5dBHNZw6SQkCWk+agjQoxrJmI2V/VeCfiBcfZx+wNANhv3Ah+asQJJNcoEQSJZtlSKqBU8NBS8sL7FeRQneqMHUMIsGRpk3cJc73onhqAJRqSPQt9ZyKJPMFiHjMHOTqY+yeZ/10ez4o7CEPqPS1YjOK+c02gR4tIdfVZiIRL0L2DVLKTaQJSCAj75eqTvRdpTzbThrzXA4kTcBHDrvtZYXEC3O6gmIMUTSAp88lDJ1j75nIRtSEQ0IKakrazJmbXb9JpQO8vkNwv3QlArzqNGOY+9GnQE6spmkDBpgkEStnmFHMQ5z30NOAtpQJaSwWsVzgBFUqwmKYJSIHxqcMmYuk1p2L0sJIRJR+/Fwrnk2gCzSUPTQUvdBGNubqh4wOAHUQIcByw+0gcMnE0jpo81pD6ad9hTHcAACAASURBVJugu1JFJy6ibnPQwDQB9QXojjNR5luBFzxCU8EzXESBcDCGk3l4XBdkbiEQDVIyI4Zd/cjiBPTrKKRkEZXX0mR1EbV22dAaQhfRGjiBatKmzUXUI9I8Y8IfvvyByfjWxw5UjsVtWYLuXOCBRrJZl9aThxN4+t8/lKoJSM8rfv+FMBsz3Ds1jVPu4JYGIVQewIwYVp+TPk7ljoC2d0zGwgCJ0OOlxg4rqZvoGFVIc59uGhNWoaNrv4FlceQHiYtoU8HD/ruNwH67jlBcRIdQBmQTw9sDhEB8V4c1FXHfRR8AYN7oLGLYBj92EXUP9ILnpe6olfaK6O8PNwUB2S6nRBRl0LSbg7iLKBdkRO4NYkLNKuI5osb0HDOAxgn4yYrIqglYzEFhHWZZKQj1TYDCfrs0Ac0c1E8X0ZJBDCeThDJ5Ma+hpG9qnbUo/SKAQRq6iOG0sSgQTpp77TzMuT8BkCwUdE4gy8ave0gNVBMoeRTl2UlyXemaQcIJJMfaeyq4+oEFCkGvcwJAGDC2MY8moB0Xwi509ADJOGEcK+MLEbuINpcK+MNXjwUA/ODhhbGL6BDm19xxNAHbLa2FE7CZg4oexUFiaeagAWkC2vc4J330XbeXAtD81RFxAqGtkZt5QmI4mTjzagJBgNhFUdcEVLtpAu79YyWGtRfb89zEdBdzydPhus+61qATw+dEdl0Xt6NqAiYnEGoC5qTKy+r3U03JnT5bhpuUq5qA20U0pZ4gsWUXvUSQ6AJfel5lm4PUI/o9yBt7wu8Fv87YtZpVomsGiXdQcg0r2nrws6ffwrsbE68jnRMAgLHDS5p3kH38hOYgJhDZfeQQSj+FdXFU9UU8npo1cl5SAg1NYIjgkvo22MxBfP/TtNxBhQwhoL/E3C3ObQ4C7p+3Cg+8tsqoz9dWY6UCqcFiXAggmQDUHaTcPIbkWAjArc8uxeF775SbGA6Pqeo+96Lg/Xahq5wmBGT/VRhxAoFQBOhe0b4AWfv+ulxE9c1PEq8hGMckaiWG9XxPxH7Ty7rrUT2amiK+KJ85yDTtGMSwZhLLowkIAacmwMdqwSsYfQISTSBr5rRtDTpmWJNiqjTmBPmXzAWOXRNIwDUBfk2KOYj1ie+H0OAE6gyuSnIYnECqd5CpCZS8xMySpgkUsohhvTzrh14r96L4p1+/gvstQkB5iSJzUBgsBmXSD9MzJO6r+io4ixOQNvt7X1meTQzrtuUIMnWH0TbrFwD85KzDAAA7D2+KNwgZbjEH1bKfAG9TrshcphSuCajJ1pLJ3hYnwFenZt+E5ZMdwugbOTWBrO0leTfkdetxDS5zkKEJ6LmDuGcPERas2ox7Zy9HGkIBx+NEks/SjMeflR6Y2RJzAqnNJJoAeyZjh6lJ3/RHFD9fmFqRbaipmkAQ577izy40B5magOKwMYS6wA4hBFwwOYE0c5CpCRSYJmDbAk+Cq9026C8SfyFdnEDapKGvGNNcROVkDqgmGyK3i6hgZYCQL7HHPySQdQttIvnP094HwLTFe54qpCeMacUXpocxHmnmINd9lgn8JHROIEsIVDgnYLHze0SKoEv2OmbXpPWNN5WHGK5qz9XtIuquRwihmNmaYvdKXRMwzTB5NjxRyPGond+/khLdjnA8cAHKP0uzlEoca+YgxzXosGkCMlZAwsgiIP+Smko6XAjZ2lOvw+bAoRPDEnzDpaG0B+0QQkDAPjmYnIC7Dqs5yEu2LEwnhvuvCegvuO4dZENVC1qS3kHylGK8ugrNALI5PQmeyyYfuohS/BJs7qnG/VSTbPHVm50TOOl9u2N4U8HiHURWYloA6CpLTSA/J2BPGxEov3uUoglEz1nnFmRr4blciPbPHJSmfSk7YPHfoDoMpKaN0PoRawJas3IFbmgCWt16U1XFJBYdy7AJ6aYulROIFijs3uqaQHOcOygdtriSMboQMDQBxHXrmkAWJ8AXGlXN+6mv6ocZaRXOKPwrvfaGCjsMJ+Cge9Rv/SCG5YuflkXUNaFJ2DgB1289lrS3OnSzRAlebM7gcQHyZZLfq5pt1KkJxOag8HtHH9MEHKtbLgQM+79nBoV5RICn28DDBqUmMKzZbQ7Sn4YuBKp+oKxypaB2pfVwuYhyTYDf9wI7ztvgUIhhyGcB2J6wTROIhbQAvnDLi6ys9RLiengvpBBwEcM6eW2ag1TY7Plp0fSyEn7f1Yhhc7cwXVDLZ+taAIxuLeH494xT7PsSY1rNPSU4EoJfvdZQCFgWKYo5iHMCalqUvkpgaCYFdq0NTqDOcC2MBqIJEEWBLHFK6XRiuBaXL9uKRSKPOUh30ysVvXglC7AXKwiiySQ8rpu0CpbcPEAykfCw+ayNOcopLqIFj4wEfWlkele5iqaiZ934xnXr9LJ6e3KPWudOZo6I4cSP3EEM85La5dhaco0TPViM1x0IgRUs9046J6C20RR7zOhCgJkmWDu8altXVUFl2vN1lApk8B18wuRaq4Q+Tm2TO8eJB+2G68881Dqexg7XOQHdHBTXrvFd2eYnP0jiBNTrC81BPFgPSBYODU5gEODyu62FE9CJYY9IyWuStvryKN0cpJ+qbtaumYMcu05x6N5BTQVCpRrEXj2x2ulLYljVDIAoTsAxOuREknACiRDgvXVpAvo1FYhw14vLjGOKK2b0tIQQ6OqrKpGgHO5U0poQ0CaSouehQO6tDMvxfgJk1QQKnnn/9P6k5Q6SN86lMeoRztxPXUDdejI9i6hqxkjMQTonIO8364NQzX3NRc9wBFBjJcK/aXxZc7EQajlOToCMY/qCI2t9xVfzennDHGScHP7Ro9dDLyuzLX5/Kn6iCXBNxw9CF1E9bqHABG9DExgE2O6pqQm47MlkEMMehSv2rG0lZdk0c5AOZZ9e7bfuyDMmTRXQ0xeYxHCy0UxIMJqrLV5OhwCUiFU/ELGdXikX9fHHjy/C4rWdyjG1HfPeyLQRHPIWdvf51kAxIOUZasSwrgkUC2FcQhoxLJ+5qQdIc1A6J2CkjRDAojUd+NJtL8UZQtO0UUUIsLoDIZTkculxAuo9anJwAgkxrGoCQQAc/55xeOYbH4q2U1QnPQ6F6HRAChJeRoluLyRaq4QpqM17rf6aaGs6DGJYH3PsuC7wsryDQk4g6rODE+CIgzb9oeUEdggh4DQHGZyAvdyolhI6y1VjQ+qiR8bAt7ZDBEqLGLasjCWcxHCKFDDjBCIXUaF6/YRqJ3MZVa6FUjgBAZBdsKqL2/DLD/7yprMM4MgBRCqPIj8KhKl7XZqAaxLNMgcVPS9OeGZDuZpsbG9b3ZOmRZD2O78GCQGBOe+24cmF6/DOhnBvprTMrTpfkZiD1N3IshLI8SZiIaC1azMHSc+uUsHDnjsNM56/vohIJrV0IRDyHfZJvsTGavy7oz7XAkCuZWy3NstFND4OfaN5ByfAPvNgMZt3kM4JqHECDXNQXcFXTRx5NYHRrSUIoW5rF64K3StHtd7aNAH+QhrEcMWeyI5Dt8uWCp7i/inrT8xB4XH9ZXWmjQhlQGYUtNWbBBaXWEs9Nh5Ffusu164J6ALNpgno+dyV8n7y0iqaADMX2ExJvKx+P4MgsfNLxwNnlLZQ6+c26V5NC0vbXjJ8F5I2mh0ZOG0RwzJYjJdVTX728ZOmLTeXCpHnE6vHEtiomIu0+rgHjx2RoI5Niskvo1pKamoPh7OIrgnwoDsOVRMIkoh6TQiUq0Gc+E4ij+Y0GNghhIALeYnhUZEHATcJhZyAl2rv5GVTOYGUlbFhDmIRwy6om3Ig0gRMO2vFD8IVPbHvEUJOwL0qJTLNNWF/+UQlrKtAve/2bSIdNlcRagK2GAF5nv04KbxAn/bcSgVyJqwDQqGh71ELJJOGK20EF+jG9pJIJj/peOASYqEpRmFc4jZ6NJ4o0zuIawIFu3eQy0UUcJtIdOcIj3FPLkiTiEL8ck2gYO6RrY+ppD/2e8cFNaD22fNISTLnNAfB5Lus5iAlW6g9YrgaBFZzkMIJWK9kcJBLCBDRrUS0lojms2M7EdEjRLQo+js2Ok5EdD0RLSaieUR0GDvnnKj8omij+iFB+BwsE412zCDuogcqBwknhyUx7Af6y2nCywgW0+HapxfIJwR076CmQjhBhbb8hAiWEcMykEqfTGyTs2ybcwn6b/FnmASsEBah59AE9Och2+suV60xAkC6dsKTyJneSJ51FyuJCtcELCaegi4ELOPNDBZL0mV0xELA3nchzE1wvPh+6EIgRRPQVrDSxz7PfgLSOyjxfCJj0rP1L50YDs1BvkIMm95B6kpa1wSkILa3EacSiU2Kaj85L6BXwQn+PJwAr7rq281BgZDeQXYhUNlKg8VuB3CyduwyAI8JIfYH8Fj0HQBOQbjB/P4ALgDwUyAUGgCuBHA0gKMAXCkFx1DA+sB0qe+48VIIcDdRosRFNGvLyCxz0B/nqBGV6opRrTtPnIDhHaQRw3EATkRAjWgOr6+daTpp5p54Z7GMgSqEsO7NrN8tmx28QKRETscvsBDo6vOdmoArlQKQ7nortwBNixOwuaTy/tkECL+Hxv0UyYQt731eF1HB5oleTXinDUeDEyg4iOE4bYRaL9ck9K7qk30uYjgyB7ls/knuoOSYi2NwagIaMazfnzGcFzBMkFwrz+YEOEJNIPzsa9fXV0nzDtoKiWEhxNMANmqHTwdwR/T5DgBnsON3ihAvABhDROMBnATgESHERiHEJgCPwBQsg4R8RJJrEI1OMQeF+UGyhEB6Arn/eUQlTrn9Wq+6K44TcLdZDVSzRKkQBouJUBVgwWHhCy034NY9oNLSRpDjmnSV2bYKTCPCJbyMOIHhlkAxIN27Jm0SLxWyNAFhTTuQmBrI4SLK+2ZqmgYnkMLDKJwAq1tPL543gRyQEicgvYP0OAHtmlRzkK4JRMczvIP0iGGuPZYs3kGGi6iz9uh37Vno3cmnCUAZ3E5OgH3mcQJ6sGTZt8UJ8Pdy6MTAQDiB3YQQqwAg+rtrdHwCgHdZueXRMddxA0R0ARHNIqJZ69atG0AXQ/BVk9JOzvNHtYaTpGoOSnY9ygqL98idFtlVXkKfMGuNGC54ITFcDZI8JnxTGY8oFgJt3VzTSfqsCwORUxMIhGl2sYkvl3eQ4lkjST2EEcP6puESafdZ32JS70MhhRPoc2gCMSeg/aTbocPPavuBSPZWllpmGg+jR+8m5rH85iAzgZx9QxZi5fm5MmWILMNbMryDckxkzcVCGCzG2tH3GNaPuYhhF+TPSX/U+8NjBVycAE+bLmuwcgLaddhyi1UjF1F9UeGxax1CGTAoxLDLUpZhQWMHhbhZCHGEEOKIcePG1bVzHHlvtM0cFAeL+cKa09/WTt78QdwWr9ecixi2mIOAZIWlq9ihvzfQ1qNuriFXJi2aF4PkBOzeEfxFEYrroq0M7w+HK06g4geo+AIjnJqA+x7rm80rv0VxAmmppG1ChGsCNihZRLXmQ34k0gR6pTnI3j99tcwnId0cFIiUsSbUVb8cG2mBgfwzp9f01aoRJ5BjvDeXojgBRzCYLW1EGtFsA88ECpjvDncTNXrMNAF+Wi4XUT8llbTFHKS7bg8VBiIE1kRmHkR/10bHlwPYk5WbCGBlyvFBh4vJz60JtEhzUKIJEDMHZQWMyRcyrzKgagIhUba6PdwEvlvbVMYGPcdME/OwIKgThEcU+9zzqFMgzJIKmDsyBZFdye4dwcoFpjnIRgxbOQHP7mMv++jUBPppDioWvFQX0WoQODa2l3/ttuQ0cxCf2KWWmZZATncRdRLDgXBHHgt7xLDef9mSykOEUkAfnxLGpkS5NAHPSnpLxGkjtJU0R6YmoAlqvSXOCTifIyzBYpa2lPvBtG89WCw0B9k1AT8Ithlz0J8AnBN9PgfAfez42ZGX0HQA7ZG56GEAJxLR2IgQPjE6NiSweWvkvdHFgodhTQWDGC5E5qA8nAD/mwU1gZzAn+etxIwfPIHuchU95ew4AV+JGKbYK0aaZrh5hyhsT8/NT5SU072E5NVmXY1APmLYxj0UMkxotaaNADI4AS/dRbTqC+sELceVoSRYhIO50TxzEe2p1UU0uf+mi6i9r/I3e8Swu3zy2UxAp6RJMILFrFUqiM1Bjvtu20/AEAIZI1EXyLomune0oZD1XPYc9QVOHk4gNgdpwXB9FTNOQOEE0i6ozsjrIjoTwPMADiCi5UT0ZQDXAPgoES0C8NHoOwA8AOAtAIsB/BzAVwFACLERwPcAvBz9+250bNDhIlHz3mhCqA10KOagcOKo+nk4gfBvXnOQ7iK6rqMPvZUAPWU/zh2U10W0QBSbQcpVmTDOXGFLk5CtH0XtbU4zB+lZRA1NwNJ3NzGcfCdSX3ZbBlEgXRPI5ARSNAE/EMY+xbJfYbsuc5C7b4LZ+WWzrv6bwWIsTkDTBPwUc1CgmYNcqaTlMzI4AbjJUpMYzh7vpQIZEcMcBc8kho1kjTk1gdg7SPv91Knjcfx7xqVWFWoC6r3IujzuHaQGkUWcQCHFHDSEUiBXKmkhxJmOnz5sKSsA/JOjnlsB3Jq7d3WCyxyUVwpIDxpuDgoDwDznhuXq+bVpAsqmMkhsrd1lnw0md5tGKunYHBQeL2rmICC8vtWbWZ+RBLgZmoBQs4i6IISNGDaFsm3FqBPDOrJcRG2nZpmDQhdR+++VQGCYpaOyGVd0s3JMN7kIy2Y6Tu8gYRCTaeagtHgDmznIFSNjcAKCX7NatxEslmO8e0RGxDBHEtjo1gSy2wj/yt7YzJHjR7eEZbQuE/vAT+P3n4MLCt+3xxD1VXwEwjSzJuYggfxL1IFjx44YznmjicKoYZ0YLkVBWHk1gbycgG4Okqtp/WV3QU8bIQdbXzVQJncgGWrSQ4hDTv42MwaRwztC86XWI3OFMHenchHDehZR3l7/gsXSieFQE7CvSP0giPPYcNi8gMLjdhMXRzixq2XcZhk3Iaqbg/xAOGMi9GCxxEXUWtyyn4Dqvsh7pO+pkVfzTUvDLp+Z6mdvTyXtgh5MZruLCXlMjuPqiXkSyLlMxVKbl4F6Esn2ksE27x20VeC15e3499++Cj8QTtekvDeaQBjVUjTSSUvzgWvikJAvXW5zEFtxhppAWH8ny12UFRCUtJ28SLp3EID4JujmIG7u0W32gVB3FnNBQM0Dk/RdnyzMYchzGtngihNI7L7mb2neQVkuoi5OQI6svKtejtBFVNeK8mkCnKA1zUHpnADvRuIdZGopsjw/xrVqAqkr3xpdN+V+zWkJ5mwb05jEcHpDurZm228hrsIQ5sm56gLHxQlwjSWwBh/K56Wbg5T4HefV1B/brRB4bsl6/Hb2cizd0KUk2+LIe6NDc5CmCURmllyagJd/ogBUkjG0q4f1d3EhkHK+kjaaKBECUbpi1Tso/GvVBDwpvFycgNm27kFhpI2AqfrbTPUFT+1nyAkkcGkCaYI2jRMoeR48LyT8bKgGwqpJuPiePIuOkB/RzUH29gPhzqOvawJCpHkH6ZyAPU5AtsTvh0wbYfN8AvInIEzaDndp0wlljlIc3c41ATtB7kQOTdwhA1icgDq2XdtLcrhSynT1SU1AXchsKU5guxUC8tYvXN3hLFPLjR7VWjQihqUmkOW3HHsH5dYEknKBSDxsuBBIg6+Zg/iLRKS+nIk5yEIMR5O/qQnAGSymvih2TkD3xc8TLKaj1iyiQLo5yPMSl18bqn5g9w5ycBCxRsKOmatt01yQtoI34gSiz3odfpDlHZR8d6WN4OX5ZyOLKCtruIhmjPdwl7Z0rZYnVZOoNctmPCZiTcBdxvUcCQTdUyord1bVF8ZYB5JMwK60EVm5yOqN7VYIyJu/cHVHindQvkmZiCLvIC2BXIFQyeUiGv7Nm05a8cOGyxyUQgzrwWJaJkbu7SPbGmXRBOScaZu8XGkjVAhr2ghDE3ByAsl3Xei4JvT+xgnINl3yvBoIe7bTuN3azUE2QjTNVZObFoQjWCksmx5vYEsgZ0xoUVtq4jNV+OgTuBnJm60JZC2MYqcGJctoYGiJaeCrecDuLcgne9vZRKaWm6UJc+8gDsnt6WkjeGLHxvaSdYB8GG+uCTUB20DJzwmEK2U9CKsUeQflSRsR/s3XnjLZiGTylppAVr/5i1sqsojhahQsVjBfIN0cRJRoArprpLy3tuyN/E7YNAGbR0x/NIGCw7TT3ziBsE33KqzqC2s8g5MYttRhRAxD5DYHCWFuQJ5G5tauCZCiXcXmIG3iUzgBUn3nzZ3F7P2TaC4VMqc62/aSVV91182ME9AmeNv6ibSy+rmA5h3k0gR43IQfpJqDjE1lWGBcwxxUB8ibv3B1h9OAnnWj5WDxiOL8QRKqOSidGI4nipxSQNUEkpz8cgvHYaVCesRwVP5DB4zDP5+wP+MEImKYzBfIZg5KOAFNCES57OXRUa3muUD4DHjaCNmsriLbJnvPI5MTYOVcye1S4wSK6fdfuvzaUHV43PD9BJTjtmuyEcO5XUTD+1aSm7042gjrTXMRVc/jaSP+dNEHLOVVTYAHm+lN1Ooi2lz0Mg36iccMJ1zt/IwLyTMKv1uFgMscxH7Pwwmo2oLddOUyB6mawNBh+xUC0b1fuqELvVXfMeHnNQeZEaqh1014fq/F7s0hJ93+RQwnXj1SE2htKmTkDgrLf+e0KRjRXIxfmL5qGI5uU6VNTYAnkNPTRqjEMD9XnzT46rBU8OzEsE0T8OxpKSRc9zLtHuvXYbbptjdXgyBVE3BNyPx+5DIHpazguUkq0cbMsn6QsSEQ+57sLKbeb1m/sZ+A1ia/vlpdRJuLXuY7IbdxVbyD/EDxrMl6reI4gRRzUFxXmouo5v5s1wT4ZzsnkJiDUjaVGUJVYDsWAiL6i3iTcx21mYNsmkA0uVbS/fdrdxFNygVCxG6WciWvu5bpkC+jNJnIFXDF4iKaCIH8moB0EU34hOTcC345O/4st9GTkP3uHzGslnFrAgMwB3nu/QR8X6QKEb1qWy+M7SV1t0+kE7RBYJqkbMWDQFjdbgF3nICe7jwOFtM5AcFaJZ0Yrs1FtLmYbQ4Ckmy9Er7Gz2TWEa/yU8xBmqCw/a47PWS9zi5NoNthDkq24xxaYjhXxPC2CL5CeWtdF/YY02qUyStrQ01A96On3JqAvtG1PqB0KGkjkAwK+dfzKNUcJDMyynqaCuFqT2oUSphAbA7SNAFkZaJMXphRFgES9jdQiOGmKFlY/v0E1GP8q6tvaRNPiZmDPnfEnvA84HNH7oVlG6NN3omcnEAlCJzbYMpznZ2Vh7R5+ZlF6zD7nU3KeMhKICcFmZyk9RTHgDQbuTUB/tuEMa04atJOmDJhVGZCtPC5sU1ltLK1JpBryqEJAKEGx+uuBFpa74wq5M9pGw65eIXEHKRZlYVdazPMQTZNIDYHacSwZROlocB2KwSkyaLkeSg7iJb8N5qs5iD5wmZpAnraCI/cK07ANAfJiVR6XxQ9MiZSDlm3HFRy8itXAxSIYpOQH4i4jC0hW+yyZplkiF2XzpfE/QiEtkGIrM99vRIeqRMrf1a2Tejj8zz5opv3h2tQ137m4PjztD3HAAjvq2sV5ltW4WG/1FVmfNwyqegT3gtvhamzRrUUsTnyPMtKIFeMvHlSzUGpcQKqV1FrUwG/ufAYAMA7G7ri405zkL4CZrfLTCCXbQ7K8w6GmgDbVMYXho99GnShleYd5D6XNFOny2Qj2CczOh5IgsVcEcNp/RkMbNfmoKJH2HfXEc4ytaSNsJmDJFGYqQlEzeRNKa2/PNKkIldDWWalquYKatusW9Yh74G+micCWorq+RKSlJTd2GVEMw7f29wp1DAHFc0UAK7rse0xLB9X2goz7bdcLqIWIRCm7nAIAXlujqHk6ltTsYDWkj1oS0JGF+smKdtEFKTGCbj5C9v7oPjGB4kpULatRMjWmECuueTlMwd5nrq9ZFCbd1ASpxN+T/cOsgtzj/Q8SnYXXdWbymEOcnACrhTdg43tWAiED/SA3UIhYBsmeV02CWbCMo8Su3SWJqATw1mkjz5ZyNV0Ja8QkJxAVI+SQC46VfbdRQwDwJlH74V/nLEv/ulD+ynH41VoVFnBI3zv9CnG+aYmIFex2UJAt1HnMQWF5zl/yuEiat9URr7HNju7yxxUi+ZZ8JL77/bqEZE5KNJ0ZJ3RX54K3CYs4npS2lAI3+ivETEMGCtrCZ0TyHLgaSp4uQjQokfoLlexfFNotvM176CsKuIJ3qB3E3jxokg7l9mD+HlpwlRCIF0IGDuLsfqWb+pJrbue2G6FgEBosjhg91HOMnkZeCIyctWUok1IAFh3z7K1o3MDLuiTXKwJBJLY9dJTSfuqOUhfcQCJgJB9G2FwAoTmYgGXnvxe49rlvZX1h6YhSz+cxLBazraiKlg5gfCAixTm12ODK8pYoliwawJxkJ01WCwRhOpxEy7hFbogl+LPNgQiXOHHbqqaOYjv/hYEZkyChGszFLOcbFcYx8lSDjC9g7JdRAu5zUH3zV2JD1z7RJxQURECGefrpK81d5BW1va7smue00WUl0l3gjD2GM67Kq0ztl8hEHlBHLB7pAkMwMhGMB/YdZ+fFk8Kub2DtL9Z5SX6YiEQDihbXnsOuU2kbg4CksEuPYfk91LBi00SOnR1OwjCE7Necps5KOvFiI+RuqmMsjlLyvWnvUdnHGrd0pqdaxcC8li6i2hq1XH9ruOxJuAkhiMXUe13WSdfVQYpmoDLjAHYr8GeNiLRIpUI2VrjBEr5iGE+fmVsRdY7wKHzNtb1k0O7cT1fYSlr1m1mE+D9Ns1Bto4NPrZbISBzqktNwHZ/88oFWU6q3Jee/F5MHDssftHycgJ5E8npK86EE5DePWQltyRWtPVE7YXfbavqxESVHOMmId5Fq2mDfya7T78fqGkj5ASmz7O2ydWz15ob2gAAIABJREFUcALya5omkHZvRzuC2iRcLqJSs7IHi9nbtXXD1W3PS1x0XWXkAkBO9vL5y+JcCISEv0OjCFI4AW6TjqKZVTs4NHNQOA4f+dsaHHD5g2jrrij1ZY3zGQeMy6WV8EVCNQiiiGFuDkqvJTHZhX/TvIPybi+ZJkwlbAse3m9DoDc0gfpCpnrdY3SLeyvCGohhABjWrNpt83IC+uSf9bCd5iDGCaRlr17ZFu5HzDUO3R4eE8OsjI0XAEwBKj0jVJu9eU26JiCJRCNVgpUY1l1ZWfmUl28gXhUFj5QNzyW4V5bZnilMAfv9cHo0EcW5m+Rz0cdAkvfJrgnoq2XXQjktmlg5LMzJ0pVF9Ft/eA191QAr21U7dhYncMJ7d8tnDuJxM4G533M2J0DKX9vyycVzJJqAlkraIUwVF1GYnABf/evjOG9usXqj30KAiA4gorns32Yi+hoR/ScRrWDHP8bO+SYRLSaihUR0Un0uwQ6ZN52I8J7dRlhVgdyaQHSy1ATiFan0DqpkcQLhX9vq2wYXMVyNtBuC3f9YQg48PpEkm4eEx2JimJ333vEJf6Ku9NX6pV046zqqgZlKmvdPwhonQO7cQWmawEBgcxFt76ng5aWbwt/7sb1kHhSImCZA8TGOWBuRaSM0ZlgVAm7voLS+6odtfICRRVSE25+GXdG1oex7kqcMv7ZKECAQ6WnBzTbCv/EtSeEEXG+VXRMwy+mb8OhabxqhPZAxNBD0O05ACLEQwDQAIKICgBUA/gDgXAD/K4T4AS9PRAcB+DyA9wHYA8CjRPQeIUS+7bJq71+8wvzckXvi3Y0m2577lktNoElqAupE2lfN6R0UE8PpLTtdRKPsiUTZ6XQ9Ul8wYwMLiyZw498fhvvn3W+pTe0PF7BhHXaB6geBqgnAniohT9oIIpPPqDeKBTN30Lm3vYRXlrWFv6e4iBpmhBq6SJRkcVXcGdmwkj74MuZDTjayGZ0TSE0g51j6Bfoq1hIfotvCeYlylG5b3sM8Glue+8SvpS9acNVCDHtaW2magI5mtvOaLjsyzUEwExLKfvP3J65vC9ll6hUs9mEAS4QQ76RI9tMB3C2E6APwNhH9//a+PEyO4rz7986xs6e0uzpX0gqdSEjoQFqBhLC5hcAEgwEDJhwBB2PAGNtfHAjfZ+MvceL7yPM5GPAZG2xwbGKCMRhsYhvHyIhbIATilNAN6EDXHlPfH9XVXVVdVV0zszO7WvXveeaZme7qqre7quut96y1AI4E38C+3yHUQQCPCjXBXxLg0L1kxMowSRKQg8R4u+6GY5JAb+QiKieZctahTQLy4APiLqIxaBOwjGKgEghfLstraJMEKt1PICkHULnIZSgW8PT0+h3OdkVfxtJGiAnHw987m5G9g+S25Hw5qiQgIJh5IavaBJxxApb+klVhpm1AQ3WQpCJ5e3d3eL4nyOmztyg2LzI2w68V9HtJAhITCBZcpbmIqu+dyyagqypHthTCa3UjeVK7pohhOU2HjoGSBPrrbTofwE+k/9cQ0TNE9D0iElFE4wGsk8qsD47FQERXENFKIlq5devWsgjy2fmnFBdRIIoViCQBYRhO8g7i377BYvrLIyZS8XIT1PQGptuIMQEtg2YmgRZ5oogXYbGVjFxGToTVrWURFSoFF628rL4XciQZuFQdwlXyAwsmWMvYkAtcb+VnK9Na6X4CNijeQRaVobAJ2OIE5P5lzE6Pa/LS9wPQpaJikRuM5bpXb9wZXd/HlChYtyRACv0uyIxPeMqpfeGuRdf3lxIx3BK88wRVgihanvGo5kL422QTEMzLNIQPOJuAABHVATgDwM+CQzcDmAquKtoI4KuiqOFy4zqJMXYrY6yLMdY1atSosujyCeZIeuTi/Rcd1lSnGYZDScAvbYQtXa0Om+G4t69oTDJlUlPoAyqUBLRrfIzj+nMUTUeqEPWeZCbgs6mMb5xAeM7xAOvzWaz63Cn4P6fPspaxQfSnLA3IpJolAfGt0+T/QmeI0NZYByDaclD3ROqx2ATEsxvRFE0+thQX4jrb5CyPqe888irWBcFZ0bWBjluaVPdI+xt396rZPZ1MQHx7PCZ5whfqoKQkiia4cwdxyKc+dsI09Z3VbAIm2v/vmYfjS+fMxbzOVsT2hUZkyzCmGj+AvYNOBfAEY2wzADDGNjPG+hhjRQC3gat8AL7y75SumwBgQz+0b4FHUIy3OogXbKyL0u4Csk3Ac6N5TxWBbWLu6QvsHKRu6m3bmUuG/tKI6FfbS6jo47Vz+s5i+nmZUak2Ae5hoYvIRiaW0SQNip5LUlBNcyFXVuBNTmJeAjKpRokF5pV7KYu6TAZYNnsMbrloISaPbAzqUyvotQSsiWKTRjbh1MPHhvTbsoi6JOTOtsbQNsEYcO/TG7VrwZMHat5BAj19RcU24eqCUgzq8vgoRx2kbx1p0qTqqqKZY1vwqWUzovNQvYNszLS5kMMHuzrDd0KXBHIOSWCg0B9M4AJIqiAi6pDOnQVgVfD7HgDnE1GBiCYDmA7gL/3QvhHFYvIAK9VFVKiDxIopVAcl2ARs2zQmtacjUgdpu4cZXnh9Yo2lrfU0UpvoKQrvIKXKqJDY+JxLAvE3zsdF1OkdVCXDsOgfE82AJUivhMnMhgzx6OxTZo+NFgxal4po3Fgep4DULBG6JrUDEIZh9foPHTURI5vrnJJAQ10Wz9wUOe3Jq3xRr9hQCIiPi+6+ouIC6RrvpWyfKEtFYsFVTsRwJAn4q4Pk84r7Z4K6WZQvaouISCU8eLhARYZhImoEcDKAj0iHv0RE88GFp9fEOcbYc0R0F4DnAfQCuLpankGAr03Ary5RTBiG9wSbu/hGDNsyTer4YNcE7NjbY6W7p1gMB48yuAyTk90wLCYZKeeDiWblt1pIuAnaVoQCfcVoZ7HWxnxYqR7jYJpbjWkjKDpXDZgkAZ0mHTaaSqFQzZYqpEazJBDb6jOkLTrWZ/AOEv+Ket4HB/Zq45ohnjZCRk9fUdmXwjneyaNMAFUSUL2kfECxH6YyAYOwnae4TcBFu7xQEx5TWaKSN5iqBSqSBBhjexhjIxhjO6RjFzHG5jDG5jLGzmCMbZTOfZ4xNpUxNoMx9utK2k5Cf9gE9ILCRVRs81i6Osg90E6eNRa3XNRl97bpY4GaRPWwMUbcxmwC6n/x1+cZ6I9ReIjI+nDTo+aG4T5cevQkPPWZZeG1Me8gg35XTxuhn6sGxIrTtl2oKQGdoEQnKfQOcu78wCHfZuhEoPVXlL9IpSGaaKKMnIyZGRY3yvtPQPrihgUuopEaUKeRKRKnWxLg8OHniiQQ0CRLv8kRw+rEa7QJiP6y6GrNqaTdbQq1ZxSYGS0cBxEPGLoRw8zhDy3gLwnwgiJYbE+3kASEOqg076DE9lzqIAq8g6QBaao3rg4K7BnheburGqfBTiu3Dbo3gge42kyfGABDnIDFSKbvJyD+VVsSsLnf2ryYgAqDxRQvqOCYVl9kGFaPF8OJRqtTuz7ShydLyAJxdZA6+cVsAr2aOsjpHRR8e9Ahb4LT3VdBnEDw3+gdlFCHLgkkMVNZEhD2ODk9+pCRBAYzfHJ7lJs2Yvf+8iSBRL1jAh09fcVwdSyrVExeK3HDsCYJJMUJyHTFJAGmHCeYae8rFtEt7QdLECoF3UU0fq3LO6haNgHB1G3qIJNNwLaiLUXnLTNc0W+2tBExaUTyEpL7ybjrFfzeCwFdHRSljTBDtwm4tUFkpVOHKVhM2V7SZwaHnyRgr8Jvo3m5vjDxYDbSBNi2bB1IDGEm4GEY9pYEOEQOokgS4GeSXUT5t+j4RO8gC2G9wjBMyf7rScFiSQYq+ahODwvqyUhcwERzd28xlvtd3IcMW+CMSVfOaa9esBgAo1urrV2bl0spC72s4T71/ouS2NkkAfV4fC/iYPHgoSYV0Md1GD8RqoNUyAzfRJNCTwmSgMkwXIqLqGgjUtGZ6ElaMMbTRLsYPSGKnJbfPd9YoVpiCDOB5Ig+334QA6QxVAeJiEi3+kAgTArmyZRspXr6xPaQca8DW5sC1gRyTorM9ETbS7qvE15TdVLoPVj0/H73qWMB2JlYbJUYNFi13EEBHTZJwJw2QkhU+qTL4RMxLPMW0YTOVMK0ERmzai2XUack8/63hu0hHYgxAS1uRh8AjKnjzLUIixYQycSYI4YlxukbLCaYgMM7yNZfccNwgrqZpNTv0urflLhxoDFkmYCXASw4v3TaCNz7sWOSiuHoqSNx7sIJ4S5aJtdME/R0ER3D633IimHXvl7jvr8+wWJxF1E3x5Ev1+kpBqKAnJ3RVM2eHvMOSnu6e7FoUhumjOJ7PZglAftkVS19aiQJWJiAI4FcJRoq+X4iF9HSJIFMRt132SaZ6AngXNDVQSKiWE6vrCPvrQ4SdCbToaiDQu+g0uMEQnWQkR5xzmYY1hPIuSdyQhTLI2hVXUTdNNcSQ5cJeASLiY5YMLENh48fbi0n6qnLZfDlc+dh4gge0OObyCwyDPPv0S0F3HnF4ng7HiLyunf2BIbh6JhJTWGXBNRJxitOQKdIxAkkLOb2BmqzMEoyCLjZvb839LQy0Sro0reXFP+ql0XUbRNwRQzrK+9SVnoqExBtaZKAxSYgxwmodcbbqdgmEGjJ9MtlWmUjrrOdcKyXJsWGCeRKUAmS9l22TUAJFku2CUTxRNG7NhjjBIYsE6hGsJgO34Fo0vO21Ns3OHEZy/qKzMtFVH+RYoZhi143pFk6E5cEmGoTMJQBoklElwR2d/cpyfhs9NseQ7WMaoKp60nkBEpRBwl1hQ+tcpFoK1L1OqFC03d/k20CimHYop7ysZUJ7O3WcglpmUtFNcpGKdI4K9dF1GXfCNVBpcQJaIzatb2kVR0EXRJwM1M5v1eUL2hwMoH+yiI66OCV5U/bnckOcwnfyUhXB9noconZeptJLqKJhuFsKZKAChYcU72D4vXs7VZD/LlBmwfbNUmSgC13UCxtBEXnqoF8giTgChbTT1113DT09DH89eJDEts1uYjqDEc8S32fZJth2Lbhic97IaDbBMRz0SXWfJawN9hULOdpE3C9C7kMoVv7LxAmkMv4q4P098psGE6og+IbxrguUSQBaUGQmL13ADCEmUDyBBd2qqfBVofvPqdh2gjfnneUi20qYqEjFiymrcZLSSWtj3axs1gSU9urGYYFuCSQrA6yPa+qSQIJ3kGuYDH9eTfX53DTGbO92jXp8vX69vRw1VqDxgSiiGGVDcfjBIJgp1IkAYvXm85geAwKp09VB9nrjhhJ8gJG9Q4y5A7yNgwLScBQBvZzooRiGC4yI6OV29S9gzKZ0tSwtcKQVQf5BIuFPCChLus8SeQ1IcW3ILSKAon0mCQB04CKBYtpWUSzCRO4SpZaSPiKq2qM+HWRTSDqCAYENoFoMjNvL0lK/5Fkfq7WC5RP8A5yB4uV3648Yds2HrKpg/RsomE9FnpKCRazPQd9UpVVjTlfF1GtLhn62DVmES1JHaSO9VJSScvndRfRJHVQ5B1kUgd5k191DFkm4GUA04KebHDV46fzDTres+dd9OSzFAtc8coiavEOsm867qZHVs/YVmJi4spLLqLdvUX0FpkiCdi8m2y0lZFF2Auhy28JCeRskkAp77jqIkqxYwCwL1QHmYX3XIaUjrIHi5VmtDZBV6/IY0uesF2LE1c+Ld3RwZg7qKRNZVR6XG67Nu+gDJlsAo42yRwsNuRyBw1m+Az2SBLwEydNyHsxAf6dtPoOV0cOeoTYn2gTsBgq9Wt8hqKpjJw2wq4O4hOXvOvV7kA6aJIkAXPaiLjhObIJVGfYiomltLQR/LvSLKJRfeZJQrjbNtSZ7z3unWSmsxSbgA2RJMC/5QlZdpawSXiA2zAckwQycXVQSTYBTcI2ewe5GUQslTSSF3W9mkdXJkOJKdwHAkOYCfiLvb6GJRNqLQmIwZ+oDtImfVvEcBJDshOZPPHt07yDCITdQQbWRkkSsE0WNptAtVxEI0mgBJuAZeVeqYuofn2kDjJLAjynlLnOEKy0BHI26FfbJYH4tbotykRK3KkhLgnI6qCkRZxPvh6dQZj2jNYlAVerRHLEsGg/ej6pJFAD+Ax2n2hOIEk9k/wI9dWirTof/XImzCIaHbMZVmXo6iDZdzkJpgmNtN+makTQlfyMRN4l2TvIpg5SbA7yuWp5BwUvaCmSgEBlkkC8Hr2p7t4iiID6vHm8xV1E1fNR2gj/xZGdXjGO+bciCcg2AaOqJ5J35Tpk6AsYWfILcweVEiegMRxnxLAtWIzKSCXNRJxAZBNIE8jVED7BYv4uonb4TEhh2oikrKbht3uyIagD2eZiKSPaXlKVSpIYkq0MyZKAQ38PqGkjhDqoseA2DJOhzkiFUC1JQKiD/OMEBGy0+kC+f9c9FnIZ673r/W0qx4JPxZJAcLmY5GTDv/yMTP2a0yRSH0kgZ0wb4a8O0suZpvkke4GeStonWCxmExikLqJDlgn4BItFop+7rkolAZ37Jw4A1+AKvuXFqk/AjZ5wSzfQOckxFOE2gcRLeduSFCKeebPsImphYkr9JJ/za7dUhKmkLYZh17OqZI8Dk03AVFt9PutkAmqAX1ydAUTuvf2BUOctqWaS4gR0m4CJFp3ZyuogkUpaVQe5ET1T+0QvPx9zJXFJIEm9JCRKOZV0mjuohvALFuNIziDoePlLMAwnrjbE6kj7r9bFV8ilG4bVFVgmYUWizr/mQjK9rqdgyvgou4ja6LcZO6uWRTRBHeRCTP1SwjuuuIiGK+R4BfW5rLVeHxdRkUCu0ulH0KZPcoA6YZuYdcwmYKhf71+TOqi0PYaD7+AS134Ctp4n7WRSDibZgy/aSMbPpbzWqPhtIqLXiOhZInqKiFYGx9qJ6EEiein4bguOExH9KxGtJaJniGhBpe3bUCubgE9uez1tBEuo07lRCSFQB0WHXF4YAjabgFfqDBMZJK2wEqrQ2wZUm4DZxVVbISN6qaruIloGE6hkZWd0ETVUV5/PWJ91LpucNkKob/rLMCwkJsUwnLDjl9j3wBXzEZMETBHDJaWSTpYExMOzL9CoZJuAgGBYWZLmAN/Jpwbor9fpeMbYfMZYV/D/egC/ZYxNB/Db4D8AnAq+wfx0AFcAuLmf2o8hMdUrJJtAwjvhZAKleAcFRV1b2MnnTVWbWvOzCZB2XhirzDTLVRp5EWnSguMxhIFqUqGkiGFT7qBwu74qidJh2giLd5ALcUnAn0bFO8gSLAZwdZCt3iRJgMiQCrpMiOvD9NaW3EFW1RVFDMvPJmCKGFZlVRdC6Ve8f6YysJ8T14r30vV+6m1yWuPqoCRtQC1RLXXQ+wH8MPj9QwBnSsf/nXE8CqCViDqqQUAp2RIT4wQc5328FMQYFit2WySmgDhr22xFP1yKTUAcTY5ZkFfhlvMU/XY9Iz1lBQAlgZzfpjLRpia+rralIluROqgCScBgEzANq0I+a5149LQRtv0EbOdKgaBR3z4RUCdn4yKGePvkKBOPE4hLAvkS4gQiFRv/dmYRtS7QIiYaMVNXw9E52f4mfrtSVtca/cEEGIDfENHjRHRFcGyM2GA++B4dHB8PYJ107frgmAIiuoKIVhLRyq1bt5ZFlFdkZK3VQcG3bY6JBiL/srt+aqt6yyQqI5Y7SNJTJsHoIiqJ9InqIE10J+L67ZAWqySgHo9c7qorCZTFBCp4k0wuoiamWu/yDqIEdRBF6ccrXW2K603qIFl/b6KVKNgAJzyXLMXqaSN0d1gPioO27ev9aD8BSw0UBYsVS5QEcqE6KJIEbENsIFxH+yOB3FLG2AYiGg3gQSJ6wVHWdIexx8EYuxXArQDQ1dVVlvIsyYVLbjhRHeQ4V5o6SAwAv1syrsANB42ueDZJQKPFKglIx213mKQyEhCrQ1GkMZ9VaLYZhnUaeqstCSQEi7lQyctrcsdVJpEMz0NTn89a+yLuIhovI1bu/WYTMKiDZP292aSlBgGayugLKz1iOJ/NJLowK22GEiuHSxLwSSVtCyjTywvUSS6iptxfMnjf1NZeULEkwBjbEHxvAXA3gCMBbBZqnuB7S1B8PYBO6fIJADZUSoMJRQ8viHDD9IRybpuAR7BY8B3lM3eXEysO80oqvgoyp13QJAGbi6iHAGq2CURXumqo015YQLUHmGgVx/SJTaiDqmUTCF1Ea6wOMq3g5frEc+CGYYskkOQiavldFkgwy3gwYJKLaKgOInuZWO4giSkUmZAk5DrtzwSQ3j9h/DWUFUOtaJsTKHpvwzIlSgLKmHa6IdUWFTEBImoiohbxG8AyAKsA3APgkqDYJQB+Gfy+B8DFgZfQYgA7hNqov8GQbBPwjRNw9YyPOkg3DCdJAjpdsrhtas3Eh/R5Vc+6KCZen0W1iVEQEFupm1Bn2AZQZwL6pG5Kt8vD8NXz/Y1MYIy2xQk4r62ECUhPL3Injs6LSbbeaRPwp6dSSUDQELqIlpBAjqBGN5socdkEeBsZL6amR8VHq32HOsgRLCZgy9xqK5+T0kZEKmGbJGCtsmqoVB00BsDdASfOAbiDMXY/ET0G4C4iuhzAGwDODcrfB+A0AGsB7AHwNxW2b0Wx6O+hUUkCOR9XNdGxYvKyGoa1RYKYqAu5DLoDg1gmEx/0thWXDKsk4MMEjJJAsh4VMLuH6huj2FQZMe+gQP1QTV/rXDbTL3EC5V5rcg8WkwiPEzA3lOEdYqdHaaN8WnlVQhKI7xehJJCzSJA86j24T8Pr49pekv93R6jL1+0P0m1wehzjNWmBThHzKNUmUGewCdi9kGrPBSpiAoyxVwDMMxx/C8CJhuMMwNWVtOkLnxwpSa965ArmkAQ83n79xU4yCegrjUIui13Bph0EgzrIQIPO2PQXKRKVzfT72EmUMpbysreI+NWkpUO2pTzQ9b7VNgyLusuxCVQSJ6Cqg+L1ifutz2esY1pXS1ZTEggNw6F3UJxh8XJmSSCnSALxMnr/6uND94Sy3U7k/KCWKxqYvKjC7r4dzRdFj3lBt+kAfFEnaLJJAgMgCAzdiOFSsiVW3zAsvpMGgFglqIOsYFCpqPUnSwJy/h5AVrkkkp9oE+BRqOaKjIFiBU0SsKiD9Je/r8qGYSAywpaKSqQTZWcxg4Qm+tcZJ6BJiHoxk8qpbHqD73DTlBJcREGa55ehTFKMSy6jBs3Zxp6eLytMF20iK2GBlqEoWNFndKjqoCgmJ5wDLOuMgZAEhiwT8AoWq3nEcESbD13iXVCZQNwn3ywJqLBJArabU+MELPUnMDVAdQ8Vz6FRtwnogWyaDUU01VdlwzAg1EGVB4uVApMkoN87wOMEbLeu78kcdxGV2qiQC4i69e0TAVUisdkEZIblEzGsSzm5bNx92AS9nvCvyTsoPGVZoFE0zllR1OegQTqVl7yDkhxJBoAHDG0mkLypjK+rpr0eH++guCRgaYcEXWp53TCs35ZN9yojchHl/8NgsUTqXTYBdxnAnGCvSbcJaBdHRmtdElDPVwO5DCUG85lQkTrIYObMGCZ0rg4yt+OTRVRtoQJYpEwg2TCcocBFVBME5Ak7njtIZwp2BqeUy6qStcuGFRmNzXURmdRB5rK8rQjhpjJEiQvBgUgsN2SZQCm5gxITyLkkgbJsAp7MxyAJmJrzmRRjInXC5haquG0sEWNaJhSM6iDdRVQ9b9rwhhAlzau2TUDsg1BKfpf+MgybbAIhE8g5vINIZSV6OZVhV/b89KvViGG36pIIWsQw/yUzj3gWUd2pwZ5DSblObMAUrtz5t6lfk2N4KOYi6nrvFJuOwgQyAQ3m6wbCO2jIMoGSdharoB0/F1H+HXoHaSMgph7VDE8FKbrWN05AP5TLqkbFpJ3F1LrM9cu5jmzVKJNC8B0zDOuSgMY0BYQOupreQdlsJAmUIhH0f5xA/DwPFvOUBBzPqHLDsDZJy6mkpXaNTACkRAyLMrJErasHY8FjWT0mwkynGHvhxO5YtOgLmphNhaKzYRlzs7FzdYo6yM1sUptAP6KkYLGEgq7zPmmNo3wwwQDQVM56WoXIRZR/F/KaOki7M7PuNX4sn82Ex016d/V682+ljDJRmUsZXUR1w3DM+8NwnKTcQVV8UfKZDHoCvVMpBuL+yh1kYoCyOsjWjByAZaLHZHcoF3FJIOrPvMEGpNORkaQW8e2SBEz/fR535InD/3t553lEDEfBYi5JQKY3kgTCOcCqdkqZQL/BK1gs+E567K6OkfcPtUE39umrAD2lg+4iKjMJo57VZBg20CPXU8rmFuYVnWRMc7xUxmAxTRLQabAltwt3aqqmJCDZBHzTewBmf3dfKAyX1G8gGjf1DsOw1QhqgC/Dsj1n/V5tNgFbK0qwmFAHKTYBfeWvG4a1YDHL/UTXqVHAxv0ExLtnoVm2CfgFi8l0CElAvs/BEyw2ZJlAScFiFXBfMWBdBmJ99a3PLfpqWY9PUM7Ls28Ao53AcCyfi1aSSSoVxUffpg6yMDWlTZNhuOAOTzEZhomqnzsIUIPFqiEJmPXk/pKArR09u2x8PwFVqvKByZ4TqwuqvSnRO4hISXFhUgclSQJ6ckHb7eS1VbdLEhB1uNy3SwsWi07KhuEk55BUHdSP8EogV7oTSAxyrnAbRL9GoqAmCWg+/LpeMilthNkmED9mkgTKHXQ8aC35WpXB8fK6d5AOm02gVoZhESxmCiqywfc5JsV0iLlQKSYkgVwp20tWTqtJlWeq25ZK2iZBygzLZBiO5Q4yxA2oqkgz/aF3kJaGxcc7yGQTiLyDVNpNkM+ETEAKFrMGpaWSQP8haQ9QwH9TGRciScBeSVIW0SioJaArFjGsrq70lnxXxvlcdK1YednuPalG+ToG+6AumLaWTJAEwmAxbbVXG0mAypQEyi9niskwSQIFVxZRrSP7wyYgOyS4kFfUQe4FC5G6YBKw+0LpAAAfXElEQVR0qbEG8ZW/+t+eSE+hSzMMk4ML6IGaOpRgMc3QbIR0LlQH0eBMJT2EmYB/sFglj12InLpHgwxBhxjn+nypu2+G1wWHVe+g+CrfJ2KYtyMxk4zaRqkoRx0U2QSSJIGgvNZ/1c4iCghJgCnt+aAS1aPJRdR0rMFhE0gyDKvtVSoJqNfX2SZwE8MjNbBNFJEnen3Sj3kj6ectb3C0gUvUNmAer+E5R5xgGCzmJQlE5/KhYVhWCaeSQNXhs6lM2A0V2QT4I3RJAnrYuu4iKibK0PAUfJtsAubUu/Y2Zagva8ZajtNqPKzUr2RWtJQzp43wkwTiWUSr7yKay2TCdkqRBHxpMgf2yb/tkoArlXRSO/Jf3+FuswnoddtW8eZIc1JiGkyG4SR1X5xJmMsJqUS3sRnVQc4Wgzb0OAHHRTJNwoVWTiXtMkDXGkOWCZRiE6jkueckH2AbwjgBizpIvGy9WpASGZgAUZxe35WdvBmHeG/LHnSSJABmt68kbTJvgslXHpD2GK6yOkjsnVtanIBfOePEqEz4YcHY+fq8n3pGrzM4ILXhR6zsmqxU5TAMy31jY3iqdxD/VmwCCbE3JmcDE+p0dVBw3JhKmuzn+LVUtk1ALLiyRDE7hY5UHdSP8NtjuHKbgHgBnN5BggnY4gRyWlBLAPES6b7XOr3mbSjjdJi2AbStLBOjqJHsUQGYg8X0OAEdRkkAqJEkUN1gsSRJwOwdxL9LYQK+q1QX9PgV2/UmSUb/HR6DqroSJVzeQTpikkBCuaKW68c2zdvPBYZhzTvI9RwVSUDeWcyyEBQ44FJJD2b4BIsJ2FQiPlOAmEzd3kFCHRTUa/EOEpNOPE7AvboyJpAzlMtnozstJXeQCTozshnUTJJAcxnqIKD/tkd0t50J00boajsXfEmy5dPRf5sjhpOSj5lX5IDaz96SgMUwbJ7afcoBIML41oaQwYTeQYpNwH2fsSh9y+3oqpfo/YuXtcXwyE3ocQLu7SWjc0ItJdxjbTSIdmqNIcsEmE8CuX5xEY0PYh1ioIuJV59cxCpIHI9SSYs29IhhFeYVV/xY3uAiWu58SlIbrueop8HOkF3XLGCbCIs1UAflsxRuXlMNScBUjAznjTaBBG8dtR7XeEyiksPXRdRqrLZIAv905uGxaH1XxLCOWAI5w1iXYwl8MgMkpZLuYwx7uvvQV2SSjcFVX/Q7LwWLJe0xnNoE+hGlJZBz1+U6bct9LyO0CVjcw8Sg7uvTJAHhfqpFDNsibBWaDeTUZTPhzSQlkEsCkextYS+nez411eWME5TJO8QmCVQ7YljYZmQmcOtFC53X+TMB971HunL5GKEumynJNTZmGFYYqq8k4OcdZKttWEMOVx03FdeeME2hI5shJakaYF6g2OCzm19WklQj259r5R6UtZz//p9eAwDctXKdn01AZgKSTWAw7ixWNhMgok4iepiIVhPRc0T08eD4TUT0JhE9FXxOk665gYjWEtEaIjqlP27AhlolkMt7qINEx0arDXUI6InlYt5BCQE4Zu+gOExeRpVIAgpshmFFiiGrPUBhAgbaCLXxDspLEcOivdsu7sKy2WOd1/mmjTCR3iC5zJqkoAzZjbQyTLYFMw2eTMBig/CRRMXxTy+fiVnjhlmvFZD79L3TRznp8kklzSUB/rsUb55QarBQunt/r1d94k6JosUcUbSfwGByEa1EHdQL4FOMsSeCzeYfJ6IHg3NfZ4x9RS5MRLMAnA9gNoBxAB4iokMZY30V0GBFkSUHFfnuJ+BCGCzmkU1UlgTkzrbtPSyKqN4QFO43HB4x6hjix5bNHoMZY1s4vdLALAckSSQMzKo/rpOOZzJ291AlMMywGgZqlEU0E0UMlyJ5VBIx3JCPMwF1JzDyMgrLz9CVNsJbHWQ1DKsVJNUnJr76fCamYgrVQUElR05ux8QRjV71hXUYymQzhMM6OPOZ0NZopNtER5KKOJ/NSKqc5Prk1X82Q+FiYTAFi5XNBBhjGwFsDH7vIqLVAMY7Lnk/gJ8yxvYDeJWI1gI4EsCfy6XBhR9ediTGDCs4y/iqg1wQk7+YBK88diqOnNyGy36wMiwjmJHNM0BnArphWGYCS6aOwK+e2aBeT4STDhuDh1ZvDo+ZbumsIybE2iz31km6ljFgeGPeWE5WB11+zBS8vbvbWK6lPoe9PX0KbUp7VJssorkMYcOOfXhz+96SIpRb6nOYPW4Yntuw01nONBGpTED9Fr+TjMIA0Fwfvc6+nisuFPIZJaFeeL1eX8IoEi6fN75vFhZNalPORYZhEUmZTJe+4JKf6QeOGI9fPPkmshnCpUdPwoKJbZjX2Rq0Za/TteGMjHw2E9v5z4SWoC96i5FGQt5ZzC4JHEDqIBlENAnAEQBWBIeuIaJniOh7RCR6fTyAddJl62FhGkR0BRGtJKKVW7duLYumIye345ARTc4yET83P/i5E4YDcLvmiU697qTpuPToSbjupOk4YeYYPHbjSWEZMQhCHXoxgQlorqtyWP5lSydhw/Z9yvWZDPCdS7qUY0ljqVLDMBD3qPiYpPsVkFd+Cw9pw8mzxhjr+ub5R8Ro03Hp0kkAkMjcXfj4idNx5vxx1vOi7ct/8FhJkkAhl8Wvrn1PYjlTVfV16n4RgMp4iChmFD5lNn+OCya2hseG1UeM2JU2YlLCeyFQyJk3thfz9XldnZg9bljY/8fNMKtxxPObProZM8cOU87phmEx9m+5aCHuvGKxsT7X+/i18+bj0qMnoZDjMTGCAfC2nFyAt58gCuSzFFukmbB4yojwd102g5HNdRjXWi8tBJ1k1BQVewcRUTOAnwO4jjG2k4huBvCP4HPsPwL4KoDLYL4/46NgjN0K4FYA6Orq6gcfngRYnvzXz5uPNZt2ob2pznqpGLzDG/K46YzZ4fFRLQWMbilgy679kXeQxTCsM4FD2vlLOm10M1a8+rZmEyBs2smZwLzOVjy9brvFC8M9nEY2F3DcjFGYL70kJYEinfH+Hq4++dSyGbjy2KmY/dkHwmJJnkACsgpgVIt5kr94ySRcvGRSefQG+MTJhzrPr3pzBwDghU278IcX+QLENzgJSN6o3jRvmCQB1R6iTnxr/ml5uPj42ZVHh+OmRZIEWhvz+LcLF+Cq258AgFDKOn7GKEwZ1ex1L6NaCmhrrMOWXfvVewjG1hfPmRse+/p587BsltluMn10C2aPG4YpI+PMR4zdQ8e0ANiIc7s6AQCnOGwwy7VzOqO6/JjJWDbbvNiwIZRqLeenjW7G2i3vIkPRDncuO9CRk9rD37lsBv9z/YnIZwm7u93a70pSkpeLipgAEeXBGcDtjLFfAABjbLN0/jYA9wZ/1wPolC6fAEDVa9QYSfq/xrocjpjY5iyz8JA2fOCI8Zg+uiV27qrjpuKm/3oewxv4Ck12WRPH5k4YHrmOBi/zaXPG4j+uXILWxjxuX/EGhjWYVS2HjW3B0+u2Ky+/QNIKvy6XwQ/+5kh3IQMa8lns7ekDgcLJS0wwQHwVX8oECvDJ65/PmlMyXf2Fca0NeHr9DrQ25vGdR14BAIxva4iV++XVS7F5577Y8d9+6li8uPlda/06wx7f2oA544fHzmeIcO2J01HIZfD46+8oEpVsf8lKqQjkcdLeVIfT5nSE/zfv4LReeexUK20CLfU5HDqmBZctnYxzFk7Alp2cCVx351NYu+Vd7O+NT2SyqlHH2OH1VilJPI0xwwp47QvvS6Tt5gsXKIZmAOG7JNDZ3ojOdrtd4arj4s8gTO5oYeC3XdyF47/y39iwfS9e3LIroN3+kum2L9F/SVKloOMzp89ylutPlM0EiMtW3wWwmjH2Nel4R2AvAICzAKwKft8D4A4i+hq4YXg6gL+U235/oLOdv9y2lacPRjYX8LXz5hvPXbp0Mi5dOjn8L+bD5vocOoY34Ncffw+mjGrCZ3/5HIDIO4iI0BWsJH559dJQLSUwbng9NuzYh8/81SzMHjcMx88YHWu7MSFJmw2Hjml2TmLLDx+Lu598E919xXB1uk9iAvX5LG6+cAG6+4r4+E+fsvqa29CYzxrF/VqpSr90zlz83SkzcNfK9fj2719GXTaDscPqY+XmWSSoQ0Y0OdWQ4iUf2VzAtnf340/Xn6CcD43iAD4ZSC3r39njFdMiLwb0Z/h3y2fgmOkjcZSkprDh2Zsix736fBajW/j9X3fSdFxzx5NoqTcvSspBaEBNWAL/8dPHA4AyuY9sLuDEmaNL0qPbGM3IZj4HzBjbgsdeeyd2Xjzbrz74IgCg65A2zB4/LFZOxjfOm4+Vr7+tHEuyZ4l7mT+xTAm9DFQiCSwFcBGAZ4noqeDYPwC4gIjmg0tWrwH4CAAwxp4jorsAPA/uWXR1tTyDfHHN8dMwd8Jw4yRaDXT38je5tYGrl4T3wtkLJ+Cnj63DEsMLKiabC47sxNFTRwIA/utjx2DH3h401uVwkUE98nenzChbbXLXR5bg1W27jefmThiOsxdMwN1Pvonfrd6Mcxby1Z8sCQDAqXM68O7+XpzX1WmdLG3Q57rls8fi/uc21cxroqU+j5b6PP568UTc+oeXMaG9oV+9keZ1Dseb2/fivo8fg/bGuJrRlEBOeLckwZX6uWN4Az6wwL5a98Hpc8dh4SFtRqZYLsTkb8ukK2Ba2T9244n9RsesccPwsyuXIEPA2TfHfVVkifahTx6LaaOTVWpnHjEeZx6hmj2TJQH+3R+BrL6oxDvoEZi16fc5rvk8gM+X22Z/I5fN4ISZpekOK0FvEIk6bYw6gBZNak8Uhf/lA5H+dURzASOa49LLI39/PHKZDMYOL/8lbW2swxET45PTozeciGENuXCied/cjkgdZNBzNhdyis44CaboaAD45gXzsWXn/pLVSpViQlsjLls6WfHh7w989dz5uOK9u8LVtY7mQg7vm9uBRZPbjecHGh3D46oxHfdd+x6s3uj2khKYNKIRN/3VLJwws/SFWH970iya1I6n120P6lbPye6yPgzAhiRPs8jjrnZcYMimjRiMmDN+OL549hy8b67dO6US+K4Yy4HMWF74x+Uo5DJ4eSuXGDpakyeGxPqH1ePaE6bhLG21WshlnfrdauJ/V0Ev21CXdRrjsxnCtz60oN/au/+699Tc93zWuGExvb0NRKSoTAcrhKRy6JjyGYDAR4+bavWSS9p+shpImUANQUQ4b9HEgSajYgh987TRzbjt4i4smZqsZ04CEeGTy2ZUXM/Bjvuve4+Sqlt3yUzhxrhgQXPGPHWhlstm8NMrFuOwfnief798pvWcnu+oFkiZQIqKYFvRpBgYpJN+ZRjVUsCL/3Sq0Uax2MOoXjHC2JvqNyUwZBPIpUiRIkU5qMv57+DW3xASyCEJqTP6E6kkkCJFihSDBBceNRHndk1wenr1N1JJIEWKFCkGCYiopgwASJlAihQpUhzUSJlAihQpUhzESJlAihQpUhzESJlAihQpUhzESJlAihQpUhzESJlAihQpUhzESJlAihQpUhzESJlAihQpUhzESJlAihQpUhzESJlAf+Llh4Hdb9nP73gT+MNXgL3vABueAp74EfCX2/x2kNi9DejZG/3v7Y6u6+0G+nrj1+zcEJXp6wW2vQS8uyU6323ePMaI7j3A4z8E9tt3HcOuTfz+GeP3V3TsGbR/F6fPhV2bgb6e6P/ed4CtL7qv6d0P7FjvLgNwOl+4z/3se/YBf/43TutrjwDBfhCJKBbNz6lnL7DPkWd/+xu8nxkDtq3l99LbHZ1nLN7Pe94G3noZeP1/gC0v8P9J2Lkh+TmK9uT2BR7/IbDp2ej/O68Dj94c0caYfZx077G319cLvPEo/71tLX9fKsGuTcDK7wF7t9vHWm83f24bn+HjZv+7vN3d24BHv83HsQ2mZ93bzceLD/p6+Bjf9CzvwwEC1TJlaTno6upiK1euLP3C/buAQrDvb7EP2LoGqB8OrLkPmHc+P/biA8Det/nkuGM90DgC6N0LzD0PeOZOIJMDJh0DDJ/AX7JtLwITlwCrfg4suQZoaAWmnsA789XfAz8+m7c39QR+XV8P0DIWWHELQFlg62qg2As0jgT2bItoXXgpb2vl94GjrwH+9K9ASwcwfgHQMR947Y+8/taJwFWPAutWAD86Cxg2AZixHHj6TqCuCWifDEx+L7B9HS/7+y8ArYfw57DtJaAv2DC88yigdx+waRVwzCeAWe/nNM45B8gVgFd+D2x9gT+T1onAhC7ggX/g17aMA86/ndPUsxf4y638WezeBjz6LX5+0jHAs3cBU08EZr4P6H6Xv/zvbgamHg9MWAQ8+Bng2Z8B05fxly5X4HXM/xDvg73bgSd/DIyaCQwfD7yxAtjPN4HHZb8BNj8LrLmf93PPbs7QuvcA726Knuuk9/DneOgpvJ61D/HP2Dm87d1bgfELgaZR/CWcfSbQNJqPkVlnAPlG4O6PRPUt+jDvx41PA9tf589t2Dh+bOZpQPsU/lLfdRHvo67LgM7FwDuvAi/eD2x4EsjWAUddCcw6k9/nr/4XcN6PeR99lW8niYlLgDek3a3GzuHMo6+Hj5vOo4AtzwMLLgYe+bo67hvagI/+Gdi1Adi5EXhrLX+2f/4WfxZLrwV+fT2wcz0w7SROc7YOWPNr4O2Xo+fWMY+/H/t3Amd/lz+L0TN5n3852KO3fQp/XptX8T4eNZP336qf82d03A18nOXq+bjcvwu444PAWbfw/gUDphzP+2LKccDt5/Jn8sEf8WcIAMMnAt27ePsNbUDzaGB8F3+Xd23k72bnUcBj3+X3mckCY+cCbz4OPHc3sG87v5aywEcfAR76HD83ZjZ/n99+FUja4HDRh4Fh44G6ZmDSUr44WH0P8KdvcFpyBf7uLfpb4D8/yvtm+Rc5rdNO4oyodSIfh2KBsn4l8PDngZ0So2ubzMuNORxYeAkwqvzU6kT0OGOsy6tsrZkAES0H8E0AWQDfYYx9wVW+LCbQsw/4t8V8gBT7gG1rgD3SCr1xBH+pij32Ohra+bVi4qEsv273FrVcXTN/OcUEywsjtlHiiGn8JXztjxENexxSA8AHxTuv8om8pQNY9yifsHZvVcvNPB3Ysjp6iWW0TwHapwKjD+MM78kfR+dGz+ID1nj/bXzyefUPbhqrAcoCYMDh5wBrHwRYkU9KgpZMnvfdyBlAyxgg3wTUNfKX/d3NwEu/SW5jwpHAsA7g+V/Gz2ULvD+zdUCfthLONwEdczlN6/6CsJ8zOeDoa4Gnf8InJ/WGOOObegKf3F/9vd9zGD4R2PEG7//Oo4CePcAL98bLZXLA3POBp34cP2dCto73/f5dfCzt38nrKGpSRsd8YKO0EqYMf6e2v6GWaxzBF07rVvAJNgmi/3ww9zzOIDc8KdVteL8ow8eNqLeumTOW/TuBzc/F37VRM4GRh/JPrsAnZBsKw6N5QEfTaKDtED6pxzZH1ctq725LB59jjv4YZ14P/wtneAInfpYvsHLxnf6SMGiZABFlAbwI4GQA6wE8BuACxphlJiqXCewF/vBlYPW9QNNI/rBbxvIHXWgB1j8OjJjKV3LNY/ggoAxQGAY88e8AGDD/Qr7qevif+cp25ul89bF5FRcZX/4d5/CjDwPGHcFX7bs2A/XD+Epu7W+BeecBXwg2kfnsdr5n3U3BpvE3vAl8cx7w/v/HJ6TNq/gkvWsT/58r8NXKrk2cxj1vAd9axFUEs97PaVnxbc6sPv0Kn6xuPR7Y8hww70PAosu5+mT6ydFzKfZxZtE8hk+WDW3A12fxF+Gvf84lgC3P8wnuxM/yiXXP27ztppHAilt5u4//gK9q5p0P/OmbwIxTgdGzgZHT+Arwpd8AXZcHqhwWvJy9fJW3fR2nYduLwOKr+MTV0sFXzft28HLNY/j95AqROiib58/36Z8Aj30HOPlzwOFnm/v/rZf5ZPX0T/lYmPweYPPzfAzs3spX8cd8gj+PP3+LM5hCM1fnZeuAJVcDq/8LeOBGoHMRp61nH19Vzjozeil79nF6974D/PrTXIJonQicfwd/tnVNXLppaAeaglz0bz4B3MY3Tcecc3nbfT18/DWN4s/0mTu5FNUyhqtaho3j9w9wNc6et/jqec9bfLU9Otik5N0twO+/yPtzeCe/fuuLwH9eyRnqost5/8z+AD8n0NfLx/pXZwAn/G9g3gX83kZM5WN85ff5mNvwBL/Hjnmc4RX7+O+WsVwqBoC3X+HPfPQsPnaeviOQhl7jq95sHfDQTbzspfdyRtoxD9j0DJc2j70eGDmdq28WfzS6b8Y4E6hvBdomBZP7Kn5833b+3FsP4eN6/UougTYGW3S+8xpw50X8OU49ETjyb9X9I4tFYMXNXFoZO4cfW/l94PHvc6kzX8/f+Xde5aqbhnZe19g5UT1r7ufv3oJLOM19PZyOTc/ycfDQTbyfFl8NZHNcGzD5vSode97mz+epOzizf3cz8JE/DjkmsATATYyxU4L/NwAAY+xfbNeUrQ4aLNj2El/Bdczj/1/5by5ajpxeel2M8Qk6E2QZLPbxyTJfwfaOO97kk262hKziYswMUM71moEx/sl4mM6KRc78Oo+MJh8bNj/HJ8laPb+dG/iklYR9O/kiyUYXY3yRMOowv2diwwu/4pPqvPPKr+NAw563+QJKvLs+2Ls9Yq4lYjAzgXMALGeMfTj4fxGAoxhj12jlrgBwBQBMnDhx4euvv14zGlOkSJHiQEcpTKDW3kGmJUaMCzHGbmWMdTHGukaNGlUDslKkSJHi4EStmcB6AJ3S/wkAEvwEU6RIkSJFtVBrJvAYgOlENJmI6gCcD+CeGtOQIkWKFCkC1HSPYcZYLxFdA+ABcBfR7zHGnqslDSlSpEiRIkLNN5pnjN0H4L5at5siRYoUKeJI00akSJEixUGMlAmkSJEixUGMlAmkSJEixUGMQZ9Ajoi2Aig3WmwkgG2JpQ4MDJV7GSr3AaT3MlgxVO6lkvs4hDHmFWQ16JlAJSCilb5Rc4MdQ+Vehsp9AOm9DFYMlXup1X2k6qAUKVKkOIiRMoEUKVKkOIgx1JnArQNNQD9iqNzLULkPIL2XwYqhci81uY8hbRNIkSJFihRuDHVJIEWKFClSODAkmQARLSeiNUS0loiuH2h6kkBEnUT0MBGtJqLniOjjwfF2InqQiF4KvtuC40RE/xrc3zNEtGBg70AFEWWJ6Ekiujf4P5mIVgT3cWeQPBBEVAj+rw3OTxpIunUQUSsR/QcRvRD0zZIDuE8+EYytVUT0EyKqP1D6hYi+R0RbiGiVdKzkfiCiS4LyLxHRJYPoXr4cjLFniOhuImqVzt0Q3MsaIjpFOt5/cxxjbEh9wBPTvQxgCoA6AE8DmDXQdCXQ3AFgQfC7BXwLzlkAvgTg+uD49QC+GPw+DcCvwfdnWAxgxUDfg3Y/nwRwB4B7g/93ATg/+P1tAB8Nfl8F4NvB7/MB3DnQtGv38UMAHw5+1wFoPRD7BMB4AK8CaJD649IDpV8AvBfAAgCrpGMl9QOAdgCvBN9twe+2QXIvywDkgt9flO5lVjB/FQBMDua1bH/PcQM+QKvwkJcAeED6fwOAGwaarhLv4Zfg+zCvAdARHOsAsCb4fQv43syifFhuoD/ge0T8FsAJAO4NXsZt0iAP+wc8m+yS4HcuKEcDfQ8BPcOCiZO04wdin4wHsC6YAHNBv5xyIPULgEnaxFlSPwC4AMAt0nGl3EDei3buLAC3B7+VuUv0S3/PcUNRHSQGvMD64NgBgUD0PgLACgBjGGMbASD4Hh0UG8z3+A0AnwZQDP6PALCdMdYb/JdpDe8jOL8jKD8YMAXAVgDfD1Rb3yGiJhyAfcIYexPAVwC8AWAj+HN+HAdmvwiU2g+Dtn80XAYuyQA1upehyAS8trAcjCCiZgA/B3AdY2ynq6jh2IDfIxGdDmALY+xx+bChKPM4N9DIgYvtNzPGjgCwG1ztYMOgvZdAX/5+cJXCOABNAE41FD0Q+iUJNtoH/T0R0Y0AegHcLg4ZivX7vQxFJnBAbmFJRHlwBnA7Y+wXweHNRNQRnO8AsCU4PljvcSmAM4joNQA/BVcJfQNAKxGJvStkWsP7CM4PB/B2LQl2YD2A9YyxFcH//wBnCgdanwDASQBeZYxtZYz1APgFgKNxYPaLQKn9MJj7B4Gh+nQAF7JAx4Ma3ctQZAIH3BaWREQAvgtgNWPsa9KpewAIL4ZLwG0F4vjFgSfEYgA7hGg8kGCM3cAYm8AYmwT+3H/HGLsQwMMAzgmK6fch7u+coPygWJ0xxjYBWEdEM4JDJwJ4HgdYnwR4A8BiImoMxpq4lwOuXySU2g8PAFhGRG2BZLQsODbgIKLlAP4ewBmMsT3SqXsAnB94a00GMB3AX9Dfc9xAGnuqaHg5DdzD5mUANw40PR70HgMuzj0D4Kngcxq4Hva3AF4KvtuD8gTgW8H9PQuga6DvwXBPxyHyDpoSDN61AH4GoBAcrw/+rw3OTxlourV7mA9gZdAv/wnuVXJA9gmAzwF4AcAqAD8C9zg5IPoFwE/AbRk94Kvgy8vpB3B9+9rg8zeD6F7Wguv4xbv/ban8jcG9rAFwqnS83+a4NGI4RYoUKQ5iDEV1UIoUKVKk8ETKBFKkSJHiIEbKBFKkSJHiIEbKBFKkSJHiIEbKBFKkSJHiIEbKBFKkSJHiIEbKBFKkSJHiIEbKBFKkSJHiIMb/B3dfs8UwwPHxAAAAAElFTkSuQmCC\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d1f115ef0>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d1f099860>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "requests.groupby('Verb').plot()"
    ]
@@ -768,32 +162,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2d1f0452b0>"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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wFViSrlsvkgYAhwHXAkTEsoj4EDgBmJJuNgUYt777qJS7mMzMSqtkkPoukvEHkZzeui3wMrDbeu5zO6ANuE7SXsDTwLnAlhExByAi5kgakvViSZOASQAjRqx3TgFFF8o5IMzMOqmki2mPiNgz/T0a2J9kHGJ9NQP7Aj+LiH2AJaxDd1JETI6IMRExprW1tRtleC4mM7NyKhmkXktEPAPs1419zgZmR8QT6fJtJIHxnqStAdLf73djHxXxHeXMzErrsotJ0reKFgskX+Zt67vDiJgr6W1JO0XEy8ARwIvpzwSSmWInAHes7z4q5bmYzMxKq2QMon/R4xUkYxLdvYHQvwA3pRfcvU4yt1MBuFXSRGAWcHI399ElXyhnZlZalwEREd/v6Z1GxLPAmIynjujpfZXjs5jMzEqrpItparnnI+L4niuntnyhnJlZaZV0Mb0BbAXcmC6PB94E7q1STTWzZjZXtyDMzDqqJCD2iYjDipbvlPRIRFxcraJqxae5mpmVVslprq2StmtfkLQt0L0LEBrE6i4mtyDMzDqppAVxHvCwpNfT5VHAWVWrqIZWn8XkFoSZWSeVnMV0j6TRwM7pqhkR8Wl1y6qdgnyhnJlZlkom6+sLnA+cHRF/BUZIOq7qldVIU0HuYjIzy1DJGMR1wDKS245CMlXGv1etohorSO5iMjPLUElAbB8R/wksB4iIpSQzu24UCpJPczUzy1BJQCyT1Ic1txzdHthoxiCaCvKFcmZmGSo5i+kS4B5gG0k3AQcDZ1SzqFpKBqndgjAz66iSs5jul/QMcCBJ19K5ETGv6pXVSKHgLiYzsywV3Q8iIj6IiLsi4nfAIEnXVLmummmSPN23mVmGkgEhaU9J90l6XtK/S9pS0u3AAyT3btgouAVhZpatXAviGuBXwBdJbhD0DMm9G3aIiCtrUFtNFASrPEhtZtZJuTGITSLi+vTxy5K+DVwUESurX1btNMkXypmZZSkXEL0l7cOaax4WA3tKyQx36b2pN3iFgi+UMzPLUi4g5gBXFC3PLVoO4PBqFVVLvlDOzCxbyYCIiM/VspB6SeZiqncVZmaNp6LTXDdmySC1E8LMrCMHhLuYzMwylbsO4uD09ya1K6f2krmYHBBmZh2Va0Fcnf7+cy0KqRe3IMzMspU7i2m5pOuAYZKu7vhkRJxTvbJqp1DwHeXMzLKUC4jjgCNJTmd9ujbl1J7nYjIzy1buNNd5wC2SXkpvNbpR8lxMZmbZKjmL6QNJv5X0vqT3JN0uaXjVK6sRj0GYmWWr9J7UU4GhwDDgznTdRsFdTGZm2SoJiCERcV1ErEh/rgdau7tjSU2S/iLpd+nytpKekPSqpF9L6tXdfVSiUPBsrmZmWSoJiDZJp6Vf6E2STgM+6IF9nwu8VLR8GXBlRIwGFgATe2AfXXIXk5lZtkoC4kzgSyST9c0BTkrXrbd0DOPvgV+kyyI5W+q2dJMpwLju7KNSyVxMDggzs44quSf1LOD4Ht7vfwEXAP3T5UHAhxGxIl2eTTLe0YmkScAkgBEjRnS7kII83beZWZaaz8Uk6Tjg/YgovrZCGZtmfmtHxOSIGBMRY1pbuz0UkkzW53wwM+ukyxZEFRwMHC/pWKA3MICkRTFQUnPaihgOvFuLYjwXk5lZtpq3ICLiOxExPCJGAacAD0bEqcBDJOMbABOAO2pRjwepzcyydRkQkv616HE1Z3a9EPiWpJkkYxLXVnFfqzkgzMyylZvu+wJJB7Hmr3ro4ZldI+LhiDguffx6ROwfETtExMkR8WlP7qsUdzGZmWUrNwbxMnAysJ2kP5FcszBI0k4R8XJNqquBZC6meldhZtZ4ynUxLQAuBmYCY1lzf4iLJD1W5bpqJjmLyQlhZtZRuRbEMcAlwPbAFcBfgSUR8bVaFFYrnovJzCxbyRZERFwcEUcAbwI3koRJq6Rpku6sUX1VVyj4QjkzsyyVXAdxb0Q8BTwl6esRcYikwdUurFZ8oZyZWbYuT3ONiAuKFs9I182rVkG15rmYzMyyrdOFchvjneU8F5OZWbaaX0ndaHyhnJlZttwHhC+UMzPLlvuASFoQ9a7CzKzxOCB8oZyZWabcB4S7mMzMsuU+IJK5mBwQZmYdOSB8oZyZWabcB4TnYjIzy5b7gCgUktth+2I5M7O1OSCUBoTHIczM1pL7gGhKWxCej8nMbG25D4jVLYhVdS7EzKzBOCCSfHAXk5lZB7kPCHcxmZlly31ArOlickCYmRVzQKzuYqpvHWZmjSb3AbG6i8kJYWa2ltwHxOoL5TwGYWa2FgeEL5QzM8uU+4BokruYzMyy5D4g1szFVOdCzMwajAPCF8qZmWWqeUBI2kbSQ5JekvSCpHPT9VtIul/Sq+nvzWtRjy+UMzPLVo8WxArgf0bELsCBwDcl7QpcBDwQEaOBB9LlqmtpSj6CZSvcx2RmVqzmARERcyLimfTxIuAlYBhwAjAl3WwKMK4W9fTv3QzA4k9X1GJ3ZmYbjLqOQUgaBewDPAFsGRFzIAkRYEiJ10ySNF3S9La2tm7XMKB3CwALly7v9nuZmW1M6hYQkjYFbgf+R0QsrPR1ETE5IsZExJjW1tZu1zGgTxoQnzggzMyK1SUgJLWQhMNNEfGbdPV7krZOn98aeL8WtbR3MS1c6i4mM7Ni9TiLScC1wEsRcUXRU1OBCenjCcAdtainPSAWuQVhZraW5jrs82Dgq8Bzkp5N110MXArcKmkiMAs4uRbFbNLcRO+WAgs/cQvCzKxYzQMiIqYBKvH0EbWspV3/3i0epDYz6yD3V1IDDOjdzCK3IMzM1uKAIDmTyWcxmZmtzQGBu5jMzLI4IHAXk5lZFgcE7mIyM8vigCC5FmLh0hWEZ3Q1M1vNAUEyH9Oylav41DO6mpmt5oDA8zGZmWVxQJAMUoNndDUzK+aAALYbvCkA9734Xp0rMTNrHA4IYI/hm3HkLkP42UOvsWDJsnqXY2bWEBwQqXOP2JFFn67g/pfcijAzAwfEarsPG0Br/0145JXu36XOzGxj4IBISeLQ0YOZNnMeK1f5eggzMwdEkc/u2MqHHy/nmVkL6l2KmVndOSCKHL7zELbo14sr73/FV1WbWe45IIr0793COYfvwGOvfcDDL3sswszyrR63HG1oXzlgJNc/9iY//P1LbN+6KSp17ztg2MA+FAplNjAz24A5IDro1VzgwmN25us3PcNhlz9Udttj99iKn576mRpVZmZWWw6IDMfsvhU3TjyAuQs/KbnN028t4OYnZ3HLk7MYNbhfj+y3V3OBfbYZiMo1W8zMasQBkUESh4weXHab4/bcmmkz27joN8/16L7P+ux2fOcLu/Toe5qZrQ8HxHrq3dLEnWcfwotzFvbYe970+Cyum/Ym2w7qR6/mdT9/YLvWTdl7m4E9Vo+Z5ZsDohsG9u3F321fvqWxLrYd3I9HX5vXrVbJnWcfwh7DN+uxmswsv7Qhn+8/ZsyYmD59er3L6FGLPlnO/PWYMHDZilV8efLjDB3Ym2N226oKlTWGIQN688V9h9Pks8fM1pukpyNiTFfbuQXRYPr3bqF/75b1eu3/OnYXLrz9bzz/Ts91ezWiVauCU/YfUe8yzDZ6bkFsZFasXMWG+y9aXgScMvnPzJr/MUftuvG2knrKnsM3Y7yD1DK4BZFTzU0b98Xx3z9+d8799V/4g6dlL2v5ylXc/OQsth3cjwO3G1TvcmwD5RaE2Ubok+Ur+dyPHgZgxy3717eYbjpylyF89aBR9S5jo+IWhFmO9W5p4vKT9uLKP7zChxvwvdY/+ngZ3536Ap8ZuQW7Dh1Q73Jyp6FaEJKOAa4CmoBfRMSl5bZ3C8Js4/bRx8s57PKHaCqIQf161buchnLOEaP5h72GrtdrN7gWhKQm4CfAUcBs4ClJUyPixfpWZmb1slnfFn78lX24+clZ9S6l4WzWZ/3OdlwXDRMQwP7AzIh4HUDSLcAJgAPCLMcOHd3KoaNb611GLjXSKS/DgLeLlmen69YiaZKk6ZKmt7X5ng1mZtXSSAGRdWlspwGSiJgcEWMiYkxrq/+qMDOrlkYKiNnANkXLw4F361SLmVnuNVJAPAWMlrStpF7AKcDUOtdkZpZbDTNIHRErJJ0N3EtymusvI+KFOpdlZpZbDRMQABHxe+D39a7DzMwaq4vJzMwaiAPCzMwyNdRUG+tKUhvw1nq+fDAwrwfLqTcfT2Pz8TS2vB3PyIjo8jqBDTogukPS9ErmItlQ+Hgam4+nsfl4srmLyczMMjkgzMwsU54DYnK9C+hhPp7G5uNpbD6eDLkdgzAzs/Ly3IIwM7MyHBBmZpbJAWFmZpkcEGZmlskBYWZmmRwQZmaWyQFhuSNpcfp7lKSlkp6V9KKkn0vK/D8h6R8lhaSdy7zv9ZJOylg/VtLveu4IzGrDAWF591pE7A3sCewKjCux3XhgGsmdDnuEpIa6H4tZRw4IM5I7GgKPATt0fE7SpsDBwESKAkKJH6etj7uAIUXPHSNphqRpwIlF678nabKk+4AbJDVJulzSU5L+JumsdLutJT2Stm6el3Rouu316fJzks6r1udhBg12RzmzepHUFzgC+G7G0+OAeyLiFUnzJe0bEc8A/wjsBOwBbAm8CPxSUm/gGuBwYCbw6w7v9xngkIhYKmkS8FFE7CdpE+DRNDxOBO6NiB9IagL6AnsDwyJi97TmgT36IZh14BaE5d32kp4FHgXuioi7M7YZD9ySPr4lXQY4DLg5IlZGxLvAg+n6nYE3IuLVSOayubHD+02NiKXp46OB09MangAGAaOBp4CvSfoesEdELAJeB7aT9L8lHQMs7NaRm3XBLQjLu/YxiEySBpG0BHaXFEATEJIuSDcpNZlZuUnOlhTvAviXiLg3Y9+HAX8P/F9Jl0fEDZL2Aj4PfBP4EnBmmf2YdYtbEGblnQTcEBEjI2JURGwDvAEcAjwCnJKODWwNfC59zQxgW0nbp8vjO73rGvcCX5fUAiBpR0n9JI0E3o+Ia4BrgX0lDQYKEXE78G/Avj18rGZrcQvCrLzxwKUd1t0OfAX4Bknr4jngFeCPABHxSTq2cJekeSRnP+1e4v1/AYwCnpEkoI1kzGMscL6k5cBi4HRgGHBd0am43+mB4zMrydN9m5lZJncxmZlZJgeEmZllckCYmVkmB4SZmWVyQJiZWSYHhJmZZXJAmJlZpv8PQJrEo9x7gcMAAAAASUVORK5CYII=\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d1f070748>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "requests_per_ip = requests.groupby('IP')['Verb'].count()\n",
     "\n",
@@ -898,32 +269,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2d1f0585c0>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d1f070a90>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "ax = requests_per_ip.sort_values(ascending=False).plot(logy=True)\n",
     "ax.set_title('Requests per IP Address')\n",
@@ -948,35 +296,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1      67\n",
-       "2      48\n",
-       "3      72\n",
-       "4      55\n",
-       "5      15\n",
-       "6      20\n",
-       "7       9\n",
-       "8       1\n",
-       "9       1\n",
-       "11      1\n",
-       "12      1\n",
-       "21      1\n",
-       "74      1\n",
-       "102     1\n",
-       "106     1\n",
-       "Name: Verb, dtype: int64"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "frequencies_of_request_count = requests_per_ip.value_counts().sort_index()\n",
     "# Number of requests | How many IP addresses made that number of requests\n",
@@ -987,32 +309,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5,0,'Total Requests from an IP')"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d1ef2cd30>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "ax = frequencies_of_request_count.plot.bar()\n",
     "ax.set_title(\"How many IPs hit our service a given number of times?\")\n",
@@ -1029,77 +328,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "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>Frequency</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>115</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>120</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3-5</th>\n",
-       "      <td>162</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6-8</th>\n",
-       "      <td>31</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9-11</th>\n",
-       "      <td>3</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12 or more</th>\n",
-       "      <td>5</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           Frequency\n",
-       "1                115\n",
-       "2                120\n",
-       "3-5              162\n",
-       "6-8               31\n",
-       "9-11               3\n",
-       "12 or more         5"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# Set up our ranges\n",
     "request_counts = [(\"1\", (1, 2)), (\"2\", (2, 3)), (\"3-5\", (3, 6)), (\"6-8\", (6, 9)), (\"9-11\", (9, 12)), (\"12 or more\", (12, None))]\n",
@@ -1115,32 +346,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2d1ef2c8d0>"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d1eea8710>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# But we can also use the histogram plot\n",
     "\n",
@@ -1160,34 +368,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2d1ed26978>"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d1f031978>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "bins = range(1, 12)\n",
     "ax = capped_requests_per_ip.plot.hist(bins=bins, rwidth=0.95)\n",
@@ -1233,34 +418,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2d1ed20ac8>"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d1ed33e48>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "\n",
@@ -1293,32 +455,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2d1ec410b8>"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d1ec2b128>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "\n",
@@ -1352,39 +491,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ -2.65175802  99.39868124  -0.24289733]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2d19b70da0>"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d1ebbe828>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "import scipy.optimize\n",
     "import matplotlib.pyplot as plt\n",
@@ -1453,32 +562,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2d19038710>"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d19076ef0>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "\n",
@@ -1568,26 +654,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "IP\n",
-       "102.132.208.215    10\n",
-       "105.162.252.213     2\n",
-       "113.184.237.166     1\n",
-       "119.45.26.251       2\n",
-       "121.57.194.111      1\n",
-       "Name: Verb, dtype: int64"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "capped_requests_per_ip.head()"
    ]
@@ -1601,78 +670,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "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>IP</th>\n",
-       "      <th>Group</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>21</td>\n",
-       "      <td>102.132.208</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>2</td>\n",
-       "      <td>105.162.252</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>1</td>\n",
-       "      <td>113.184.237</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>2</td>\n",
-       "      <td>119.45.26</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>1</td>\n",
-       "      <td>121.57.194</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   IP        Group\n",
-       "0  21  102.132.208\n",
-       "1   2  105.162.252\n",
-       "2   1  113.184.237\n",
-       "3   2    119.45.26\n",
-       "4   1   121.57.194"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "# IP to head\n",
     "octets = 3\n",
@@ -1692,84 +692,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "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>IP</th>\n",
-       "      <th>Count</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Group</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>102.132.208</th>\n",
-       "      <td>21</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>105.162.252</th>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>113.184.237</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>119.45.26</th>\n",
-       "      <td>2</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>121.57.194</th>\n",
-       "      <td>1</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "             IP  Count\n",
-       "Group                 \n",
-       "102.132.208  21      1\n",
-       "105.162.252   2      1\n",
-       "113.184.237   1      1\n",
-       "119.45.26     2      1\n",
-       "121.57.194    1      1"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "agg_requests_per_ip['Count'] = 1\n",
     "agg_requests_per_ip = agg_requests_per_ip.groupby('Group').agg('sum')\n",
@@ -1778,32 +703,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2d18f58470>"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f2d18f58438>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "import matplotlib.pyplot as plt\n",
     "\n",
@@ -1925,7 +827,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1950,7 +852,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1998,7 +900,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.7"
+   "version": "3.7.6"
   }
  },
  "nbformat": 4,