test_learning.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read learning record"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = './dataset/bbbp/GIN_AR_0_functional/2022-Dec-19-16:50:16'\n",
    "my_cols = [str(i) for i in range(53)]\n",
    "df = pd.read_csv(dataset+'/logs/exp-001_seed-42_fold-4.log', header=None, sep=\"\\s+|,|:|\\[|\\]\", skipfooter=1, engine='python')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "epoch = list(df[5])\n",
    "train_loss = list(df[9])\n",
    "val_loss = list(df[13])\n",
    "val_eval = list(df[17])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dict = {'epoch': epoch, 'train_loss': train_loss, 'val_loss': val_loss, 'val_eval': val_eval}\n",
    "df_plot = pd.DataFrame(data=data_dict)\n",
    "df_plot = df_plot.set_index('epoch')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\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>train_loss</th>\n",
       "      <th>val_loss</th>\n",
       "      <th>val_eval</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>epoch</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.6423</td>\n",
       "      <td>0.6342</td>\n",
       "      <td>0.6727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.6301</td>\n",
       "      <td>0.6142</td>\n",
       "      <td>0.6956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.6050</td>\n",
       "      <td>0.5805</td>\n",
       "      <td>0.7143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.5756</td>\n",
       "      <td>0.5507</td>\n",
       "      <td>0.7500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.5487</td>\n",
       "      <td>0.5217</td>\n",
       "      <td>0.7768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.5260</td>\n",
       "      <td>0.5035</td>\n",
       "      <td>0.7961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.5026</td>\n",
       "      <td>0.4743</td>\n",
       "      <td>0.8267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.4806</td>\n",
       "      <td>0.4466</td>\n",
       "      <td>0.8506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.4644</td>\n",
       "      <td>0.4283</td>\n",
       "      <td>0.8628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.4531</td>\n",
       "      <td>0.4279</td>\n",
       "      <td>0.8697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.4400</td>\n",
       "      <td>0.4129</td>\n",
       "      <td>0.8754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.4247</td>\n",
       "      <td>0.4039</td>\n",
       "      <td>0.8804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.4172</td>\n",
       "      <td>0.4003</td>\n",
       "      <td>0.8823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.4078</td>\n",
       "      <td>0.3937</td>\n",
       "      <td>0.8879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.4107</td>\n",
       "      <td>0.3971</td>\n",
       "      <td>0.8861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.3908</td>\n",
       "      <td>0.4052</td>\n",
       "      <td>0.8866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.3845</td>\n",
       "      <td>0.3943</td>\n",
       "      <td>0.8864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.3803</td>\n",
       "      <td>0.3901</td>\n",
       "      <td>0.8929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.3704</td>\n",
       "      <td>0.4084</td>\n",
       "      <td>0.8908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.3591</td>\n",
       "      <td>0.4003</td>\n",
       "      <td>0.8928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.3517</td>\n",
       "      <td>0.4075</td>\n",
       "      <td>0.8839</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.3475</td>\n",
       "      <td>0.4103</td>\n",
       "      <td>0.8863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.3466</td>\n",
       "      <td>0.4262</td>\n",
       "      <td>0.8766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.3288</td>\n",
       "      <td>0.4213</td>\n",
       "      <td>0.8901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.3304</td>\n",
       "      <td>0.4068</td>\n",
       "      <td>0.8932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.3227</td>\n",
       "      <td>0.3951</td>\n",
       "      <td>0.8963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.3202</td>\n",
       "      <td>0.4370</td>\n",
       "      <td>0.8919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.3122</td>\n",
       "      <td>0.4144</td>\n",
       "      <td>0.8919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.3072</td>\n",
       "      <td>0.4127</td>\n",
       "      <td>0.8887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.3017</td>\n",
       "      <td>0.4382</td>\n",
       "      <td>0.8819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.2924</td>\n",
       "      <td>0.4549</td>\n",
       "      <td>0.8821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.2863</td>\n",
       "      <td>0.4422</td>\n",
       "      <td>0.8836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.2729</td>\n",
       "      <td>0.4879</td>\n",
       "      <td>0.8835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>0.2744</td>\n",
       "      <td>0.4755</td>\n",
       "      <td>0.8808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>0.2711</td>\n",
       "      <td>0.4270</td>\n",
       "      <td>0.8776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>0.2680</td>\n",
       "      <td>0.4560</td>\n",
       "      <td>0.8934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0.2687</td>\n",
       "      <td>0.4838</td>\n",
       "      <td>0.8768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>0.2607</td>\n",
       "      <td>0.5030</td>\n",
       "      <td>0.8795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>0.2465</td>\n",
       "      <td>0.4849</td>\n",
       "      <td>0.8887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>0.2502</td>\n",
       "      <td>0.4765</td>\n",
       "      <td>0.8830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>0.2459</td>\n",
       "      <td>0.5354</td>\n",
       "      <td>0.8831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>0.2335</td>\n",
       "      <td>0.5580</td>\n",
       "      <td>0.8640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>0.2294</td>\n",
       "      <td>0.6141</td>\n",
       "      <td>0.8802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>0.2257</td>\n",
       "      <td>0.6183</td>\n",
       "      <td>0.8804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>0.2226</td>\n",
       "      <td>0.5378</td>\n",
       "      <td>0.8822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>0.2249</td>\n",
       "      <td>0.6085</td>\n",
       "      <td>0.8746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>0.2149</td>\n",
       "      <td>0.5947</td>\n",
       "      <td>0.8855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>0.2258</td>\n",
       "      <td>0.5525</td>\n",
       "      <td>0.8838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.2172</td>\n",
       "      <td>0.6550</td>\n",
       "      <td>0.8823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>0.2025</td>\n",
       "      <td>0.6051</td>\n",
       "      <td>0.8765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.2093</td>\n",
       "      <td>0.5733</td>\n",
       "      <td>0.8781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>0.1956</td>\n",
       "      <td>0.7077</td>\n",
       "      <td>0.8750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0.2057</td>\n",
       "      <td>0.6417</td>\n",
       "      <td>0.8717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>0.1976</td>\n",
       "      <td>0.8405</td>\n",
       "      <td>0.8829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>0.2093</td>\n",
       "      <td>0.7081</td>\n",
       "      <td>0.8684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>0.1785</td>\n",
       "      <td>0.7648</td>\n",
       "      <td>0.8779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>0.2022</td>\n",
       "      <td>0.7117</td>\n",
       "      <td>0.8720</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       train_loss  val_loss  val_eval\n",
       "epoch                                \n",
       "0          0.6423    0.6342    0.6727\n",
       "1          0.6301    0.6142    0.6956\n",
       "2          0.6050    0.5805    0.7143\n",
       "3          0.5756    0.5507    0.7500\n",
       "4          0.5487    0.5217    0.7768\n",
       "5          0.5260    0.5035    0.7961\n",
       "6          0.5026    0.4743    0.8267\n",
       "7          0.4806    0.4466    0.8506\n",
       "8          0.4644    0.4283    0.8628\n",
       "9          0.4531    0.4279    0.8697\n",
       "10         0.4400    0.4129    0.8754\n",
       "11         0.4247    0.4039    0.8804\n",
       "12         0.4172    0.4003    0.8823\n",
       "13         0.4078    0.3937    0.8879\n",
       "14         0.4107    0.3971    0.8861\n",
       "15         0.3908    0.4052    0.8866\n",
       "16         0.3845    0.3943    0.8864\n",
       "17         0.3803    0.3901    0.8929\n",
       "18         0.3704    0.4084    0.8908\n",
       "19         0.3591    0.4003    0.8928\n",
       "20         0.3517    0.4075    0.8839\n",
       "21         0.3475    0.4103    0.8863\n",
       "22         0.3466    0.4262    0.8766\n",
       "23         0.3288    0.4213    0.8901\n",
       "24         0.3304    0.4068    0.8932\n",
       "25         0.3227    0.3951    0.8963\n",
       "26         0.3202    0.4370    0.8919\n",
       "27         0.3122    0.4144    0.8919\n",
       "28         0.3072    0.4127    0.8887\n",
       "29         0.3017    0.4382    0.8819\n",
       "30         0.2924    0.4549    0.8821\n",
       "31         0.2863    0.4422    0.8836\n",
       "32         0.2729    0.4879    0.8835\n",
       "33         0.2744    0.4755    0.8808\n",
       "34         0.2711    0.4270    0.8776\n",
       "35         0.2680    0.4560    0.8934\n",
       "36         0.2687    0.4838    0.8768\n",
       "37         0.2607    0.5030    0.8795\n",
       "38         0.2465    0.4849    0.8887\n",
       "39         0.2502    0.4765    0.8830\n",
       "40         0.2459    0.5354    0.8831\n",
       "41         0.2335    0.5580    0.8640\n",
       "42         0.2294    0.6141    0.8802\n",
       "43         0.2257    0.6183    0.8804\n",
       "44         0.2226    0.5378    0.8822\n",
       "45         0.2249    0.6085    0.8746\n",
       "46         0.2149    0.5947    0.8855\n",
       "47         0.2258    0.5525    0.8838\n",
       "48         0.2172    0.6550    0.8823\n",
       "49         0.2025    0.6051    0.8765\n",
       "50         0.2093    0.5733    0.8781\n",
       "51         0.1956    0.7077    0.8750\n",
       "52         0.2057    0.6417    0.8717\n",
       "53         0.1976    0.8405    0.8829\n",
       "54         0.2093    0.7081    0.8684\n",
       "55         0.1785    0.7648    0.8779\n",
       "56         0.2022    0.7117    0.8720"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='epoch'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Q0NDAuHHjeOyxx/B6vWzfvp2ZM2dyxx13cMopp5CYmMijjz7KHXfcwZw5c0hKSuKMM87g0ksvbY/PRUREOqEqfzVL9qzAsi1m5Eyhyl/NyxvfJModyez8mdQEagAI2hYe0wPAZ0WL8Fl+ZuZMA+CF9a+xsXIzFw49l1Hpw/jn2pf4qngp38ufyfTsyawpW8/y0lUUJg9gSEohK0pX88rGN8mO7c3Zg+axtXo79yz6E8mRSdwy+XoAXtzwGgDfyz+SKHcU5Q3llDWUU+2vIS0qhXe2fUBZQznZsVmkRqWwvXoniZEJxHr2vxNxT+Y4DoZhYNkWn+3+irL6Mr6XfxRu081dXzzI1qrtXDP2cvLic/i06AuWlawiOTKRnLgsYpq+npW+KgD6xOdyVM408uMb3yjLi8vm3um3EuFq3NzG4/JwUr/Zzcb/Zvj1XQzDCH08tfdEpvaeGLp9dO50+if2JS8+G4CiumJsxybS3bje6dry9fx11fMMSi6gMHkAZfXlPLXyORIjEhiZPgzLtnhq5XMADE8djMt08Z91r1DSUMYvxlxGnDeWt7d+wPLSVZxdOI/06FTe3vY+r296i6NypnHKgBPYXr2TZSUryY3PZkhKIbZjY2A0q1vkmxqCPl7a8BqrytZy/firiHRHEuOOxsbBNMzQz6WIiIg0anEA5nK5uOaaa7jmmmv2eSw7O5s1a9Y0u2/EiBE899xzra9QRES6lLpAPavL1xG0g4zPGE1R7W6eW/Mf4r1xTM+eTE5cb8b2Gkm/hD7Yjk1KZDJ3TbuZ2kAdhmHgOA5z+x1Htb+GhIgEAJIjE6kJpJIYEQ9Aha+KSn81Do1dPRsrN/POtg/wWX6GpBQSsINsrd6By2gMRmI9sXhMdyhg87q8TM4cR5Q7KrQJyTmDTsM0TLJiegFwcv/j+bJ4KcNSBwPwt1X/YFftbi4e9gOGpg7qsK9nZ1bpq+KF9a+yunwdv596I6Zh8vya/xCwg0zIHENqVAouw8TBobShnLz4HIamDCIpIomM6Mav85HZUzgyeyrRnsbNdPLic8iL/7pL3GW6cHHwgOtwZMVmkNU0PRLglP4ncFTOtFB44ACDkgvIjWsMyCLdEQxKLgh1IxqGwaDkAoBQ102/xD6k+VOJagrRcuKysBwrdE1XNFTg4ITOsb5yE69sms/ItKEMSSlkc9U2HvzqUfom5HPFqIsI2EE+3PEpqVHJDEkpVHeP4OCwtGQlFb5KlpesYkyvEVw47Bxy4xp/fv69/mU8pofj+8zCrU5DERGRlgdgIiLy3fxWAMsJEuWOImgHcRwHj8sT7rLaVcAOsqlyMwE7yJCUQjZUbuKx5X8nNSqF8Rmj6ZOQT2HSAPon9iFoB/G4PJw/pPm6gzGe6GZhwhHZzdeJ/Pbxpw+cy/fyjiShKRDrk5DHzJwjQgua903I49Lh55PYFDakRiVz3/TbmnVDnD3o1Gbn3Dv9ba/R6cMZnT4cgPpgPYZhYDSNBfCX5X8nzhPDrLwZJEf2rGnklm3hMl04OCzZsxy/HaAuUE+0J4oxvUbiMkwMGgOaHww6gwi3lzhP4+7P3+y8AohuxZTW9mYYBkmRiaHbY3uNZGyvkaHb6dFpXD7ywtBtt+ludhvgB4NPb3b7hL7fa3b7rMJ5nNg0/RagV3QakzLHhbrQSupL8dsBLMcCoKyhnH+t+y8RLi//74hbcByH3316N5mxGZw64MRm9Ur3VRuo4z/rXmFS1jj6J/bhB4NOx8GhMHkAAAVJ/QHYWVPEu9s+BBqn/HbldcEcx6HBaiDKHUVDsIHn1rxIv8R8pmSNVxAsIiItogBMROQwVPtrMA2TGE80L298kwVb/sfs/JnM7nM0S0tW8tjyv1OYNIArRl1EaX0ZT6/+F8mRSZwz6FQcx+G97R8T7YliVNowPC4PFb5KvKaXKHfkIU1dcRwHy7FwAI/pJmAHqQ3UApAYkYBlW+ys3Y3tWKGumm3VO3Ecm4yYXnhdHkrqy/BbfpIiE4hyR1Htr8Fn+Yh2RxHticZn+akP1uM1PUR7orFsi6K6YnyWn74JeSwpXsYTK5+ld2wmQ1IKGZDYl96xmRQk9msMvEw3V4y6qE2/7vHeOOK9caHbhckDQi8A9z7+zS6tw50GFOWO4pfjfkp5QwUxnmjKGypYXLwMB4ejc2cA8FXxMvLis7t1GOY4Dh/s+JQ3t7zDT0ddQnp0KmcMPIX06FQi3REAnDvotGbPSYvW+mn7YxgGcd7Y0O1ByQWhLjJoDGDz43MI2o0BGI7DyLRhmEbjtMhqfw3F9SWUNZTzg0GNYdufl/2V5Mgkjs6dHgqHpXt5Y/PbfFr0BZuqtnLDhKsZmNx/v8dlxWZw0dBz2Vq9gwFJ/fBZfhbu+oKpvSd2qdBofcUmnl3zH5IiErh85IVsqtrK57u/ZGPlJqb1nkjADvLEimfoE5/LjJypWlNPREQOSP9KiIgcIsdx2F23h1hvDLGeGJ5Z/W8+2rmQU/qfwMzcI4j3xmE5FrtqdwON79RD43Q7gEp/FWvK15MSmQw0Llz8z3UvATBi+lAA7l30EKUN5fx8zGX0TcjjuTUvsKpsLacOOJGhqYP4z7pX+GjnZ8zKm8Gx+Ufx3o6P+efalxiVPpwLh57DxorN/GHxo2TE9OI3E35OXbCe339+PwB/PPJODMPgT4v/QnWghl+Pv5qs2AyeXvVP1lZs4IIhZzGm10he2/QW7+/4mNn5Mzmh7/dYuGsRz699gZFpw7ho2LlsrNzM/V89Qt+EPH4+5jIGJg8gwRtH79hMLNsi0h3Jr8Zf1ZHfmg6zt8smISKey0b8iM1V20iJSqIuUMeTK58laAe5aeI1pEenhbqkDlWlr5pKfyUZ0el4XV4+3vkZW6q2MSlrHPnxufxn3St8sOMTJmeN59SCk9rpM9w/x3FwmtYVWtY05ep/2z/ktIK5TMgc06G19BRu00169Nc7MPeKSeeiYeeGbke5I/n5mJ+wp66USHcEFb5KFu9ZjoHB9/KPAuDf614mOTKJ8RmjW7V5hHQOVf5qVpWuZULmGGbnH82Oml2c0PeYgwZZI9OHMTJ9GAAvrn+N93d8zLqKjfxo6L47t3cWlm2xvHQ1pQ1lHJUzjXhvHEW1uylrKKc+WE9KZOMur96m6ezbqnewZM9yNlRs4ujc6diOzf8tfYLc2N7MypsRWsdP5ECq/TWsLd9AhMvLwKT+eFwe6gL1RLi8Lfp3XEQ6PwVgIiLfIWAF2FK9ncyYXsR4onlk2VMsK1nJmQNPYWrviaRGJWNgUN5QAcCYXiMYkjIwFHBNyRrPmPQRoSlMaVGpnDf4DEwau5Fsx2JM+gjqgw2hP+YDdhAg9GJ1R80uSupLaQg2ABB0LBqsBvyWHyC0xpXd1CXiMl2Nu+01jeE2XSR44zANV+OOeYaLxIh43KY79EddlDuSWE8M7qYa3KaLCJe32ZoxjTv47V0PycFreojxRGM7NnHeWG6bckOPWmzZNEwGpRQwKKWxY6faX0Of+FzqgvWkRaUSsALc/OldDEjsx1mDTyYiYLKkeAX1AR9je43EbwV4bPnfqfJXcfXon+Bxebjriz9Q4avkmrGXkx+fy9KSFSwrWUVOXG/y43PxuDz47UBoR8oVpavZVLmFyVnj27XrbEfNLv697mUGJRcwK28GJ/c/niEVhUzLmnjwJ0u7cZtu+ibk0zchH2jsUvzR0HPYXbuHWE8MtYE63t32IQ4OI9OGEuOJ5t1tH5ISmURh8oBQMC+dW7W/hlsX/j/qAvWkRafSNyGPK0dd3OLz5MZnE1kUyeSs8UBj4B7vje00v7er/TXEeWPZVrODR5c9hcd0MylzLOnRqVw87AcUJPUjyh1FlDuKE/oeE3pecmQip/Q/AcuxMAyDnTVFrCxdw4aKTRzXZxaO4/DHxX+hV0wax+XPItarTUzka3uvu7pAHY+veBqAO6fdhMfl4f8t+hNFdcX8bNQlDEjqx0sbXmdr1XaOyp3GkJRC1pavZ2v1DvrE59EvMZ+aQC1VvmrivLHNuntFpHNRANYNzZs3h9mzT+BHP7qkXY4X6a5q/LVsrNxM/8S+RHui+MPiR9lYuYUfDj6TcRmj6B2byeqytdQ0TTGckjWBqVkTQmsYxXpimu0QaBpmaGFvgDhvLOMzRoduR3uiuWDo2c1quGPqbwhYgVA4deqAEwk6QdKjGjtBvpd3FDOyJ4d2zpuYMYYx6SNC0z76J/bhwSN/HzpflDuK26f+ptkYvxz/s2a3Lx5+XrPb3x8wh+8PmBO6fUT2JI7InhS6PSCxH/9v+i3Nug86y4uocOkVk87PRv8YvxXAMAxWl6+jwlfJ+oqNRLojKKuv4KHFTxDljmRsr5F4THdoo4AqfzUpUckkRSTiOHYo3BydPoLs2N7kxPUGYEb2FIanDiY9OhWAd7Z+wOrydTiOw5x+x1IbqCPSFdFm71bv3UFue/VO1pSvZ2dNETNypu6zYLx0DhEub2jNOgADmNv/OIpqi0mKTMRn+Xlx/asEHYvfTPgFGTHpLC5eRlp0KlkxGR3yM7y3i7Y+2EBOXBZu080XuxdT1lDO6PQRpEYl887W91lVvo6pWRMYkTaU97d/wvwt7zK613BO6X8Ca8rW8/Tqf5Edl8XFw35AeUMFf1j8KBGmN/S77fef3U/Asbhi5IUkRiTwxIpn2FW7m5P6zWZISiHLSlayp66EAUn9yYnLCv3O7UxTA/dOt47zxjI0ZRDba3aGdkJtjUmZYxmROoRoTxQ+y899Xz5EalQKPxh8erPp5B2tvKGCPy/7GyUNpdw+5Qby4nIYmNSf7LgsLNsGYETa0O98fmJEAjNzjwjdToiI56zC71MXqMdluiipL2V1+TrWVWxkbr/jAXjwqz+TEBHPnL7fIykykY93fo7PanxzIs4by1fFyyhtKGNISiGZMb1YU7aeLdXb6BOfy4Ckfmyr3snyklWkR6cwptdIyhoqWLZ5OUPiB7fvF0vaTF2gnsdXPM2Gys3cOvlX9IpJ54jek9hctZVod+PfbXXBeqDx7yiArVXbWV2+LtT1vKxkFe9s+4BZuTPol5jPspJV/H3VPxicMpDLRvyIrdXbeWjJ42REN/59ELCD/G3l80S5I5lXcBIe081nRV9iYjA4ZSDRTcsrGIbR9KakXqaHS32wAY/p1vegm9J3VUS6Ldux8Vl+otyRWLbFitLV1ARqmZg5FtMw+efalyipL2PegBNJi07h/q8ebtrl7zxGpA0hLz6HPfWl+CwfAEfnTmd2/szQP4jtNaXom4vm5zYtiL1XQkQcENfs2I5eZL9xMfieHXh9F2/T92JoyiB+MeZyqv3VmIZJcmQiefHZjdNkm6ZGnl04jyh3ZCjM/PmYnzQLIb4ZlgL7vKs8OWs8Ng6Tmjo6/rn2JdZVbOSMgSeHdq5sDZ/lZ8GW/7G2fAM/G30J4zJGUVRXzNSsCVpfpwuJ9kRzdO700G2/5Wdy1gR21RbRq2mK7t9W/YMGy8d1Y68kNz6bF9e/ht/2c2z+TOK9cczf8i576kqYlj2J3LhsPt75OWvL1zMqfRgj0oayvGQVn+z6nH4J+RyVewTbqnfwyqY3yU3K5KQ+x1NaX87dix7EcRzunHYThmFwx+f3E7SD3DL5epIjk3h763tsrd5BZkwvUqOS2dHUwTMgoS+kQUOwgXJfRWhKud/2U9pQFurkCdoWxXUlzTradtUVE7SD2E5jgLK7bg87anaFrt/Pi75iUfESTu5/PDlxWfxv+0f8d+MbTOs9kdMK5rKjZhef7vqC7NgsJmSOwbItqgM1xHvjOiQk+6LoK55d8wJTeo/nlP4ncFrBSXhMz2GH23vfkNlStZUKXyUBO4jb6NifaduxWVO+nmUlq5g3YA7x3jgqfJXUBxvYWr2dvgn5repw2yvWE8OUrAnNbv9o6DmUNZTjdXmo8lezunwdBgbzmt7oeXXTfCp8lfRLyCfOG8tHOxeyqmwtcZ5YMmN6sbz066CjMQDbziub3mRoyiDG9BpJeUMFf/zsSYamFnLR0B/02BfNe9/QsWybtOgU6gL1fLH7KwJ2kJm5R4SmpzYEGzi5//Gh7tWOrO+r4mWMTh9OlDuSKn81ASvA2vINjEofxukDT252/K2Tf0V9sCG0k+9xfWYxIXNMqO6cuN6M6zUq9Hea49jEeKJDb4TWBeobO8yaNoCpD9azqHgJBkZorH+ve5maQC2/Hn810Z5o/rryedZWbOD8wWcyNmMUL298kxUlqzgiewqTs8aF3piS9vP21vd5ffNbnNJ/DpOzxmHZFqZh6uvejfSY39BOwHfgA1xujKY/LBwrCHsXnd0fw8BwN/6h5TgOBP0HPLXhiWhRrSJycBW+SjZWbiHeG0f/xD5sqNjM29veJz0qlbn9j2Nb9U7u+uIPxHvjuG3Kr7FxeGTZUwCMTBtKtCeaVWVr2V23h6NzjyAtOoW+CfmhReUBTuw7m+/3nxP6Ry9Ka4nIITIMgz4JuaHb0d4ofjXxZwSDdui+bwdcLf3jakyvEYzpNQJo/MN+XcVGKnyVoW6OT3Z+Tqw3hiEphYf0on3vH9Z+y8+72z6gwfKxonQ1w1IHc1K/2S2qTTqfOG8spw+cG7pd46+jf2IfdtbuJjsuC4CPdi6kLljPEb0nE++NY3nJKjZUbmZISiG5cdlsqdrK57u/old0GiPShrKnvpTFe5aHpmLXBupYXrKaCn8lJ/U5Hq/LQ7W/BmgMPkzDJCUyiaAdDE33HpIyiKyYzNB1OzFzDP2T+pIX1/iickLmWAYm9w8Fxf0S8vn5mMtC3VAJEfFcNfrSZqH85SN+hO04oReepxfMpSHoI6fpnP0T+wKQE9vYXVnhq8R2bCJcjX+vba3azjvbPmBQcgETMsewq3Y3d3x+PwneOG6f+htsx+aplc+REpnM9/KPIsLlpcpfTawn5rACsr1fowh3BA1WA5srt4bWVWxLBUn9+eW4n1EXrCPaE8WGis28t/0jThs4t1kXc1sqb6ggKTKRgB3kL8v+RoPlY1TaUAYk9eOCoWfTKzqtXaaNRbojm3VGRrkiuXzEhRTVFYe6t4enDqY2UBcKCAcm9SfWE0tKVONyBnnxOUzMGBsKOtKj05icOZ7ecY27DntdXjymm5So5E4VfpU3VOCzfGTE9KIuUM/W6u14XR76JuQTtIOsKluL4zgMSx2MYRgsK1mJ3wowKLmAaE8Uq0rXUumvon9iX1KjkkO/DwYm9acweQCfFX3Jgi3/Y1ByAacMOIFVZWt5eOmT5MZlc924K6kPNvD82hdxGy6OypmGaZhsrNiCz/KRFtXYyfznZX/D6/IwO39mszUP25rjONyz6E9sq96Bg8P4jNGcVfh9Yj2xpDZ9n7/NZbqaTZntl5hPP/JDt8dnjG727/jkrPGhKcYA+fG5XD/uZzg4AHhMD/MGnIjf8od+TxQk9aPGXxv6/ebgYGAQ1XQtljdUsK1mJw1W4zIY7+34mPe2fcS07EkclTMN27ExMBTOHKbddXuwbIus2AwcHOqDDSwtWcHkrHH8e/0rlNSXcuqAk7SpTzfReX5Lt7OaJw48vS/y6J/g6dv4S8v3+b8ILH3jO4810/oQc/JNADgN1dT+7coDnjvu4idbVOttt93M5s2b+POfnwrdV1y8m3nz5nDvvX9k9+4i/vWv59iyZQumaVBYOJgrrriagQMLWzTOd1m+fCmPPvoQa9aswu12M3XqdC677GfExzfuKLVy5XL++Mf7WbduDS6XmzFjxnLFFT8nI6NxSszrr7/C00//lZ07txMfn8CRRx7NpZdegder9Uak9dZXbGJ12VoKkvpTkNSP/237iAVb/8fkzMat4GsDtSzZszy002G0OxLbsakJ1OI4Dh7TzYDEvnhdXoJNAdf38o4i6ARJa5pSdsbAk5u9ePF2cGeVSGu5TTc3T7qO1WVryY3LJmAFeGH9q9QG6/jJiAsYklJIoGlHzv1ZVbqWlza8xnlDziQzphffH3AiUe5IhqYM2u/x0vUlRMRx6YgLQqELwMzcIwjawVB365SsCQxOKSQjphcAo9KH0ys6jT4JeUDji7fTC04OvSjIjOnFeUNOJzUxAWjskv3V+Ksad7VtCqhunHhNszq+uZ4TwICkfgz4xu2EiLimztdG0Z5o+jaND42/p/sn9tnnHN/U5xvHw77Tur8/YA6z8maEgryMmF7MzDki9G9DTaAW0zBDIV2Vv5ovdi/GNEyO7zMLgDs+u5/aQB3XjbuS3rGZvL/9Y3yWn1Hpw0iNSjngphi2Y/O/bR/y2e6v+PnonzAsdTCXDj+fwSkD263jLCMmPTT206v/xe66YuK8sW2ywcb6ik2UNZQzLHUwUe5I/rryeRYWLQptvDKl9wQCViC0U+m3v3/tyePyNFu/Edin82dW3oxmt8f2GsnYXiNDt/sn9mlWc05cFnce8ysigtFgw383vEFmTC/GZYxql8/hULy//RP+ue4lhqUO5uJhP2BnbREPLv4z6dGp3DTxWnyWn4eXPgnAg0f+HgODp1f/i2p/Db8afxXRnijmb/0fa8vXc/7gM0mNSmZF6Rre3/ExpmFSmDwAn+VnZ21RKCiM8cTgMr6eShznjQmtP7h3DdKzB83DY7qJ88ZSE6hlackKbMfm+D6Nvwfe3PwO8RHxjEwbEpp62Fol9WW8u+0DxvQaQd+EfEakDqXKV9XYvEBjQNWeIt0RoTcXoPFN1CNzpjY75tsbUvxs9I9Dm85AY9fZ0NRBoTcE1ldsori+JLRUwsJdi3h545tM7T2B4/rMwrIb18LrTNO5O7uPdizk2TX/oTB5AJePvJApWRNIi0plWOogqv01fLzzMwJ2gKNypikA6yZ6TADWlcyefQJXXvljtm/fRnZ244v5+fNfJzU1jZqaau655w6uvfbXjBo1htLSUu6//25+//vf8cQTzxz22CtXLueKKy5hzpy5XHXVtZSXl3HffXdx9dWX8+ijTwJw7bVXMWfOXG644bdUV1dz9923c8cdv+OBBx5i/fp13HXXbdx44y0MGjSULVs2cfPNvyYhIYEf/vDCw65Peo6Pd37O8tJVTO89mYHJ/fmyeAnvNb2gKEjqR9+EPHLjetOr6Y/47LgsTi+YG1oMPCkykdun3ECMJzr0ztjPRv+42Rjf3r1OfzBIV+Yx3aGpjwE7yMTMsawtX8+g5AJsx+b2z+6lV3Qap33j52SvD3Z+yraanby+6S0uGHo2k7PGheNTkDD45u+9Y/NnNnvs278jC5MHUJj8dTzVOzaT3rGZodsJEfFM7j2OpKQYyssbQ6NvPt5ZmYZJYkRC6HafhNxmHZyFyQN4YMbt1DdtRuI1PZzc/3jqgw24TBcBK0BdsB7LsUhqOs97Oz6hqKm7LjUqhadX/4ulJSs5pf/xTM4az4aKzeysLSI/PpeUyCQWbH2PKn81C4sWMbX3RIamdkz4bBomPxx8Bv/d+EYojFxcvIzC5AHNOs/2BqW1gTpWlq4hYAeZnDWO+mADf/jqESp8Vdwy+XrcppvHlz9Npb+Ka8deQV58DrWBWgwMNlRuIis2g1P6n9Ahn1tHyk7IpLy8luUla3hzyzsAZMVmdPj177cCeF0ecuKycByHyKauxghXBFkxGaHf/S7DJC8+BwOjMRAyGrsrawN1eJo2xMmLy8ZtuIhvCqALkvo1djc3BUdDUwq5fMSFJDftjtwnPpcHZtwe+pvL6/Jy0bAfNKvvm9140e4ofjrqEjZWbiY1Khmf5ef1zW8RsIPkxP6M7LgoVpSuISM6LRSyHYq9YfP8Le/w0c7PKGuo4JLh+RyVO41ZedM7VZfe/nxzmYnUqORmHWpnDfw+EzPG0Cu68W/fDZWbqfRXhTpql5Ss4NnV/2ZC5hjmDTgR6xsbJB0qx3Hw2wG8pgfDMNhUuYUqfw0DEvsQ7Ynmk52fs6NuF5PyR5EXmUelrwqf5Sc5MrHTf22h8fNbUbqaPfWlHJkzlYHJ/TEMA7fpImAHiXJHMiJtCNDYOX39uJ+ypGQFhckD8Ft+HlryOEfmTGN4U+dkR9YdtIN4XB51/h2mzn+VtpHY8x858AGur78UEePmETHm5O8+9hsXmxEZd/Bzt9CoUWPIyurN/Pmvc8EFjesgzJ//OsceezyJiUlcd90NHHts40KeGRmZzJkzl3vuuaNNxn7uuafp128AV199HQB9+vTl5ptv57zzzmDhwk8YMmQYlZUVpKWlk5mZRVaWwW9/ezvl5eUA7Ny5A8MwyMzsTUZGBhkZGdx33x+JjtauO7Ivn+XHY7oxDZN/r3uZ5SWrOLPw+xQk9WN9xUaW7FlOVkwGA5P7Myi5AF/QH3rXdXjaEIY3/QMFkByZxBHZk0O3TcMMvbss0tNEe6I4ZcAJoWmNW6q2UVxXQpWvhhhPDI7j8Jflfyc7NovZfWYyt99skiMTmZ1/dLhLF+mUTMMMdcZ9e301j8vDfdNvpdJXFZpWN67XSIpqi8loeqFaUl9KfbA+NHXzqz1LeXfbh8zMPYJT+p/AWYXfp9JX1WwKVUfJjc/m8pGNb1Kur9jEX5b/neTIJH457qdsrNzM06v/RVZMBleMuohKXxVPrnyWaHcUk7PGEeHysrOmiKBjUemrJiUqib4JedQG6kIv4mflHcnpA09u191qO4uCpH4cm3cU0BgQB6wADZav3XcFDNpB3tj8DguLFnH9uJ/SJyGP68f/LBTA5cRl8esJV4eOj3RHcu3YK5qd49th1dz+xzW7PSp9GKPSh4VuJ0UmktQUfkHLp/Gbhtmsm86yLWblHcnWqu30js3Esi2eWPEM9cH6UJh6oN1LN1Rs5qUNr5ET15tTC07iqJxplDVUhLo9D2cTic4i2hPVLBw/reAkxmeMDv29u7FiM3XBeuymLrdVZWt5bPnfGd1rBOcOOo3ddXtYVrKSOE8sEzLHUFJfyvNrXsRturlk+Hn4rQC/eP9GLMfiniN+R5Q7kidXPEtJQxlXj/5J02L/K1lSsoL+abnkRebxwY5PeX3zW0zJGs9ZhfPYWLmZD3cspF9CfqjbsyZQS0JEfKd4o3lz1Vb+b+kTuE03Y3qNIDUqhVsmX9/sTZBv6hWTzjFNb7b/b9tHrKvYSEl9GYOTCzpsDd4le5bz3w1vMDxtCCf1m83Gyi38edlfGZk+jDMHnhJa77IzfH27gh4TgLVkHS7D5W4WiB3wWMOANl7jyzAMjj32eObPf4MLLriYdevWsHHjBm699S5yc/PYvHkTTz75F7Zv38bWrVtYv34ttm0f/MSHYOPG9Ywb13xr+379+hMbG8eGDeuYNGkKZ531A+677y4ef/xRxo4dz6RJU5gxo/Ef+wkTJjF06HAuvPBcsrNzGTduAtOmTWfgQE2j6ekad/8qpnd841TZ//f5/7GufCPXjL2cvPgcyhoqKK4vYUvVNgqS+jGu1yiyYjMYlNw4TWFY6uDDWthbpCfa+yIhLz6H30z4BbtqdxPh8rKjZheL9yxjZdkapmdPIj06jXkDTgxztSJdl2mYzcKAb3fTXTbyQkrry0hseqGaGdOLoSlfT23qLP++mYZBUmQiA5p2Q967cHyku/Fv3b2PJUYkhrrCLh1xATGemNBU1QuHndvsnB05xTHcTMNkTr9jG6exOQ7PrX2BVaVruWjYuftMxW1LtuOwqLhxR9XPdy9mevbkLtF9+U3RnqjQlGKAKl81vWMzKK4rISeuN7Zjc+fnD+BxefjJ8PPpFZOO3/JTXFdCdlwWftvPhsrNFNUWM7ffcWTE9AoFu92V1+Wl4BtTvk/ufzxjM0YS5Wrs3txctQ2/HQg9vqumiBfWv0rfhDwmZI7BdmxWlq0JdQp6THdoNcX6YD1R7kiy43oT640NhSsj04eRFZfBoLT+YDeGrx7TQ0pkY6falqrtLCxahM/yM6X3BLZW7+DeLx8iLSqFmyddR8AK8M91L5ESmczRudNxmS7qAo1jtUdHU8AO8uGOT1m0ezE/Hf1j8uNzKUwaQO/YTEwaP6fvCr++bXrOFOqtBvLjc/C4PKwt38Da8vUck3dks41YDtfezUIs22Jo6iAcx6GorphgscWJfY9lfcUmagK1oc1hdtTs4oGvHmVoSiE/HHImjuM0Tjtuo13Bu5seE4B1NccdN4cnnvgzq1at4O23FzBs2HByc/N46603ueWWG5k161gGDRrCCSecxMaNG7j33jvbZNzGboH93W/jdjdeLpdeegUnn3wqn376IV988Rn33HMHf/vbEzz++NNERETwhz88zNq1q1m48FM+//xTXnrp3xx77PH86lc3tUmN0jUE7SA7anaRF5+D7dj85uM7qPBV8rsp15GcHIvbdOPghI6ZmTuNKVnjyW9aw+vba3SIyOHJiEkPrfsTsAMcmTOVkWnDQh0rItJ+IlxesmIzQrenZE1otlthZ9E3IZ9fjb8qdDs3Lofrxl1JUkQi0LiO0beXE/jmtFhpZBgGdYF6Nldupcpfjc868IZZrWHZFm9ueYe8+ByGpBTyg0GnU9ZQzuj0EW0+VjgkRSZy1ehL8VsBTMNkd90eaoN1uCyT5KZpgb/99G4MDH476ToKkwZwSv8TGNNrRIfvjt1ZuExXs7XNjutzNKPTh4fCq7ToVMb1GhX6WyAhIoFzBp1GTNN6a4Zh8NvJvyTSFRnqmLvoW4H2+IzRuN0mSQmNU93n9j+Ok/rNDm0g1S8xnzl9jyW9aQ3F6kBNs2nmpQ3lfLTzMyJdERyTdySO4/Drj2/DxOBX468iJSqZD3Z8CjRuUJEQEd+q3S9rArXEuKMxgLe2vkeFr5Ivir5iUtY4Lh95YavCtgiXN7QpkGVbPL/2RYpqd+M4DnP6Hdvi833b3um7C4u+5O+r/kFGdDpDUgoZljqYswq/z+j04RiGwczcIxiQ2Bd3U8C1vmIT9cF6aoONgVhxfQl3fv4ABUn9uWTYeRiGQdAOdokpqh1BX4VOKiMjk1GjxvDuu2/xzjsLOO+8HwHwt789wZw5c/nFL64PHfvBB+8BtMnWuH379mfJksXN7lu3bi21tbXk5/dl69bN/OMfz3LFFVczd+485s6dx9Kli/nJTy5k/fq1VFZWsnr1Ss4//yIKCgo599wf8tRTj/HXvz6uAKybqw82sKNmF/0T+xCwAlz34W/xWX5um/JrEiMSSIlMpjZQR3HdHgrJ5/TCk3DjCf2D2NHbYYv0ZPnxue2+ALCIdE3f3PE40h1BblOXmrRMtCeKa8ZezpryDRQmD6Ah2MCCre9xbN5RbRLQvLv9Q17dtIAEbzw3TryGPgl57dplFi57NyTqFZ3GnVNvYldtER7TTVHtbip8laREJlPaUEZ6dBozc48Ic7Wdi2mYzYL33rGZ/HDImaHbES4vkzLHNnvOoXZDfZNhGLiNxlghNy672e+MkWlDeWDG7TQ0raEY6Y7guPyjsRwbwzCo8dcSsBq71OKbOmTf3PwO5b4KesdmkhARzxMrnmFr9XZO7n8CI9KGsLlqK5W+KnLieu93avUL61/lve0fcenwCxiY3J8T+x6L3w4wpmkzi7boNDMNkzl9juHNLe+Grrv3t39CYXL/Fu9oWlRbzAvrX8VvB/jpqIsZmTaElzfEU5DUj4AdwOvyNnvDxGO66ZeYH7p9RO9J9E3IC22esKFiMz7LT32wHsMwqPBVcvMnd9I3IZ/LR16IaZgH3Bipu+uZn3UXcdxxc7j33rsIBoPMnNm4MGl6ei+WLVvCmjWriY2N5cMP3+M///kHAH6/n4iIw5uOefrpZ3HZZRdx7713csopp1FeXsa9995JQcFAxo4dT01NDQsWvEFDQwPnnPNDTNPk1Vf/S1xcPHl5+axcuZwnnvgz0dHRTJs2g6qqSj766AOGDu0e70bJ1yp8leyq3c2g5ILGna8++C0Ad027iWhPNOlRqZT7KimpLyMxIoELhp5FnCeWCG/jHzIZMekEg20zdVdERESks4n8xoLaT6/+F18WL2VnTRGXDD+vVeezbIuVZWsYljqYI3pPYnHxcmZkT+4W61sdikh3RCjkS4tK5caJ15AWlaK1jzo50zBD3eaJEQkc/43df2O9Mdw3/VbKfRV4TDeO4zAyfSh76kpIj2rsIiuqK2ZPfSmupu/zhzsW8smuzzmuzyyO7zOLz4q+5IMdnzIqbShH5R5BwA4QsIMsKVnBwOT++2zo0hYMw2Bk+jBGpA0NrbX6j7Uv4jJd3Dzx2mZT4venpL6UTZVbGZcxigiXlxWlq3FwKGsoJzkyiVun/OqQr2uX6SKvaQYNwMTMMeTFZ4d2C91QsZmAHaQuWI9pmNQF6rj+o1v52ahLumVofjAKwDqxGTNmcu+9dzFt2nRiYxsXz7zqqmu5667buPzyi/F6PfTvX8ANN/yWm276FStXLmfUqMP7AR86dDj33PMAf/7zw1xwwdlER8cwbdoMLr30ctxuN4mJify///cgDz/8Ry655IdYlsWQIcO5//6HiImJZdy4ifzyl7/h2Wf/xqOPPkRkZCQTJ07h8suvOvjg0mntXb9rT30pw1IHU9ZQzm8+vgOX4eKeI35LjCeatOgUbNumtKGCaE80l4+8qNkOjK15R0lERESkO5iSNYENFZs4Jm8GAAEr0KJOsKAd5N4v/48tVdv4yYgfMSRlID8f85MeuxOcy3TRq4WdNtI5eVyeUNeUYRj7rEl66fDzKakvDa1rlxyZSG5cbzJjegGwvWYnGys3kxvXG4BZuTMYmTaUAYn9aG97f/6i3dEUJg8g1hNDUmQiDUEfa8vXM+wbu0Xuna1VUl/KTZ/cictwUZg8gKTIRM4sPIV+CX1CHW2HE+p+ewfm0enD6R2bSV2wHoBNVVuxHTv09etpDMdp2iaii7Asm7Ky2v0+Fgj4KS3dRUpKJh5P13knxO021QlziLrq97grqgvUUVxfQn58LlurtnPnF3/A6/Jyz7TfYhomv/n4DmI90fxo6LmkRafQEPSFFsk9ELfbJCmpcd0AXffSE+ial55E17v0NC255veGXjWBWu7+4o9M6z2RmTlHHDDEsmwLy7Hwurz8a+1/WVi0iLML5zHyGzsyinSkzvZ7vrhuD9uqd5AaldKsE6qjOY7TuCmAy8OL619jwdb/MTVrAqcMmMMrG99kaclKfj3+qsbXU1/8kUh3JPMGnBhak60j66z0V3W75oTk5BhcroMHh+oAExGg+S/DrdXbufuLPxLtjuKOqb8hOy6L5MgkUiKTQlsZ3zzp2maLKR5K+CUiIiLSU+3t+Pqs6EtK6kv5YMenTM2aQOQ31l37pqLa3fx15T/oHZvJ2YPmcWK/Yzk6b3q3e+EqcjjSo9NavO5WezAMI/Qz7nF5cBsuhqYOwmO6WbJnBaUNZSzes5zxGaP56egfh20NLsMwevTvEAVg3di9997J66+/csBjbrnlTiZOnNxBFUlns3e3ke3VO/nTksfwmG5+O+mX9I7JxGt6iPXEUOWvJjEigd9Ouq5ZO652EhERERFpuSOzp+I2GheyjnRHsqlyK9GeqH2m9FX7a9hSvY099SWc2O9Y4ryxeHvIel8iXdnxfWYxJWt8KGg6uf/xuE0Xg5MHAvTYBeg7A33lu7Hzz7+Y004764DHpKaGPy2XjrerdjfPrP43fsvP9eN/Rlp0KnWBOkzTFeoC++3kXxLriQk9RwuMioiIiBw+wzA4InsS0Lip0CPLniRgBbli1IVEuiJ4eeN8zhl0KgOS+nF24TwGpwwkzhsb5qpFpCW+2WU1SlOWOw0FYN1YUlISSUn7bg0rPU9JfSmvbXqL+mADlww/jzhvLJsqt+DgUOmrIiEinp+PvYzMmIzQOxLfDL9EREREpO0ZmKRHpVIfbCAjuhd3f/EgRXXFJETEc1rBSUzOGh/uEkVEug0FYCLdUNAO8umuL9hdt4fvD5iDy3CxsGgRBgY1gVpiPTH8aOg55MZlkxARD0BuXHaYqxYRERHpWRIi4vjpqEuoCdQS6Y7g9IEn89bW95iVOz3cpYmIdDsKwES6oc1V23h2zX9wGy6O73MMSZGJzO13HLlx2US5GhdaVSuuiIiISPi5TFfoDcmCpH4UJPULc0UiIt2TAjCRbsCyLRYWfcknuz7jipEX0z+xD+N6jSInrndoa+1ZeTPCW6SIiIiIiIhImCgAE+nCLNvCNEwcHF7f/BZlDeV8vOszZmRP4YdDzgx3eSIiIiIiIiKdggIwkS7qi6KveHnTfM4oOJlBKQWc1G82lb4qJmeOC3dpIiIiIiIiIp2KGe4CpO3NmzeHxx57JNxlhHz55RdMnTqWXbt2hruULs92bOqD9QBsrt5GSX0p727/EICxvUYyM/cIvC5vOEsUERERERER6XTUASbSRawtX89za16gT0Ie5w46jVm5RxLvjeOI3pPDXZqIiIiIiIhIp6YATKQTsx2bPfWl9IpOw2N62V23h7pAPQ1BHwkRcRyTd2S4SxQRERERERHp9HrMFEif5cdn+XEcBwB/023bsQEIWAF8lh/LtgAI2kF8lp+AHQQaFxv3WX78VgBoDCb2nvNgY7TUbbfdzEUXndfsvuLi3RxxxHi++OIzXn31v5x//lkcddQUjj56KpdffjFr1qxu8Th7BQIBHnroD8ydO5tZs6Zx8cU/5LPPPgWgrq6OWbOm8cIL/2r2nKeeeoxTTjke27aprq7mnnvu4JRTjmf69AmceOL3uOeeO/D5Glpdk0BpfRm3f3Yf9y56iIagjz4Jufxw8JncNOlaIt0R4S5PREREREREpMvoMQHY1e/dwNXv3UBNoBaAO794kKvfu4H1FZsAeGrlc1z93g18uHMhAG9ufoer37uB/6x7GYAlJSu4+r0beGjJYwAU1RZz9Xs3cOPHdxx0jJaaPfsEVq1awfbt20L3zZ//OqmpadTUNIZNp512Fs888y8eeOBhfD4fv//971rxVWl02203s3DhJ9x44y08/vjTHHXU0Vx77c/4+OMPiY6OZsaMmcyf/3qz5yxY8AbHHns8pmly2203sXLlcm655U6ee+4FrrjiKl577WVeeumFVtfUU9mOzcrSNTiOQ2JEAgE7iOVY7KjZBcC4jFFEuSPDXKWIiIiIiIhI19JjArCuZNSoMWRl9W4WOs2f/zrHHns8iYlJXHfdDcyefQIZGZkMGTKUOXPmsmHD+laNtX37Nt56602uv/43jB49lpycXM444xyOPvp7PPPMXwE47rg5LF++NLSI/erVq9i8eROzZ58AwLhxE7j++psYMmQomZlZzJp1LAMHFrJhw7rD/Er0LJZt8fiKZ/jTksdYXroKl+niwqHn8rtJ19MvMT/c5YmIiIiIiIh0WT1mDbB7p98KgNf0AHDd2CtwAI/Z+CU4b/AZnMvpuA0XAN/LP4qj82ZgGo0Z4YjUIdw7/VYMDAAyYtJD5zzYGC1lGAbHHns88+e/wQUXXMy6dWvYuHEDt956F7m5eWzevIknn/wL27dvY+vWLaxfvxbbtlsxEqxduwaAK664pNn9wWCQ2Ng4AEaOHE1mZhYLFrzBD35wAW+++RrDhg0nJycXgJNPPpUPP3yf+fNfZ/v2bWzcuJ6dO3eQnZ3bqpp6KtMwSYpIwGW4qPJXA5ATlxXmqkRERERERES6vh4TgEW4vM1ue7912+PyNLvtNt3Nvjgu04ULV+i2aZj7nPNgY7TEccfN4Ykn/syqVSt4++0FDBs2nNzcPN56601uueVGZs06lkGDhnDCCSexceMG7r33zlaN4zStgfanP/2Z6OiYZo+ZZmP4ZxgGs2efwPz5b3D22efx9tvzufDCHzc93+G6665iw4b1zJp1LEceOZNLLrmMu+66rdWfe08TsIMsLl7G2F4jOaX/CUzOGk9mTK9wlyUiIiIiIiLSbfSYAKyrycjIZNSoMbz77lu8884CzjvvRwD87W9PMGfOXH7xi+tDx37wwXtAYxhlGEaLxunTpx8AJSUlTJ5cGLr/kUf+hGmaXHTRpUDjumSPP/4oL7zwT2pqajjqqFlAYwfZJ598xCOPPMmQIUOBxu6xHTu2kZXVu5Wffc9hOzZ/WfY3lpeuoqS+jNl9Zir8EhEREREREWljWgOsEzvuuDm8+OJ/qKioYObMYwBIT+/FsmVLWLNmNTt2bOf555/mP//5BwB+f8t3nOzbtx+TJ0/jnnvu4MMP32PHju0888zf+Pvfn2wWYGVkZDJ69FgeffT/OOKIGcTGxgKQkpKCy+XinXcWsHPnDlavXslvfvNLSktLCQRaXk9PYxomA5L64jE99EnQlFERERERERGR9qAArBObMWMmANOmTQ8FTldddS1JSclcfvnFXHzxeXz88YfccMNvAVi5cnmrxvnd7+5gxoyjuPvuOzj33NN47bX/cu21v+b4409sdtxxx82hrq42tPg9QGpqGr/+9W/56KP3OeecU7nhhutIS0vj9NPPYtWqlThOa1ZB6/78VoB3t32I7dgcnTudGyf+gsLkAeEuS0RERERERKRbMpwullBYlk1ZWe1+HwsE/JSW7iIlJROPp/Xrb3U0t9skGGzdIvY9TVf9Hn+T4zg8tPRxVpauYUb2FE4tOCncJXUot9skKSmG8vJaXffSI+ial55E17v0NLrmpafRNS+dUXJyDC7Xwfu71AEm0sEMw2B8r9FEuiIZmTYs3OWIiIiIiIiIdHtaBL8bu/feO3n99VcOeMwtt9zJxImTO6iins1n+Vmw5X98L/8oxmWMYnDKQGI80eEuS0RERERERKTbUwDWjZ1//sWcdtpZBzwmNTWtg6rp2RzH4S/L/sbKsjWU1JfxwyFnKPwSERERERER6SAKwLqxpKQkkpKSwl2G0DjtcWbuEWyr2cH07EnhLkdERERERES+pe7lO7B2rcFMziZm3q3hLkfamNYAE2lH9cEGnl/zIvXBBgqTB/C7Sb+kT0JeuMsSERERERGRb7F2bwDALtuO468PczXS1rplANbFNraUFuhq39snVzzD+zs+5skVzwLgdXXNnStFRERERES6M8cKgB0M3bbLtoexGmkP3SoAc7lcAPj9vjBXIu1l7/fW5eoas3eP73sMqVEpHN93VrhLERERERERke/g1JQ1u22VbQtTJdJeukaKcIhM00VUVCw1NeUAeL0RGIYR5qoOzrYNLKtrdTZ1NMdx8Pt91NSUExUVi2l23uy2LlDH82tf5JT+c8iNy+bGCb/AZbrCXZaIiIiIiIh8B7umtPntUgVg3U23CsAA4uOTAUIhWFdgmia2bYe7jC4hKio29D3urP6+6p8sKVlBha+Sn436scIvERERERGRTs6pLml2Wx1g3U+3C8AMwyAhIYW4uCQsK3jwJ4SZy2WQkBBNZWWdusAOwuVyd+rOr71OGXAC5b4KTi84uUt0IIqIiIiIiPR0ezvAXBkFWEVrsUu34Tg2htH5X4PKoel2Adhepmlimp1/wXG32yQyMpL6eotgUF1gXVW1v4a/rnyeeQUn0is6jWvHXqnwS0REREREpIuwaxo7wFzZQ7D2bISgD6e6BCM+PcyVSVtRlCnSBv659iVWlq3hyRXP4DiOwi8REREREZEuxNNnLN6Rx+PKGoRnwGQ8g2eCXtd1K922A0ykI51acBJ1wXpOHXCiwi8REREREZEuxp03CnfeqMaPMwrCXI20B3WAiRyGNza/w9aq7cR5Y7l85IX0ilF7rIiIiIiIiEhnowBMpJW+Kl7Gyxvf4N4v/48KX2W4yxEREREREZFWcBpq8C99ncDmRY23rQDBnavwr34vzJVJW9IUSJFWGpjUn6Epg8iJyyIxIiHc5YiIiIiIiEgrWBU78X36PEZcGp78MRDwUf/KnQB4+o7D8EaHuUJpCwrARFqoNlDHrtrd9E/swyXDzwt3OSIiIiIiInIYnOrGHSDN2BQAjMhYjJhknNoyrLLtWhOsm9AUSJEWsB2bJ1Y8wwNfPcKnu77ANExMQz9GIiIiIiIiXZVdUwqAEZcSus9MyWl8rHRrWGqStqdX7iItYNkWMZ5oXIaLnLje4S5HREREREREDpNT3RiAmbGpoftcyXsDsG1hqUnanqZAihyiGn8tsd4Yfjj4TIrr9mjHRxERERERkW7Armk+BRLATMkFwFIA1m2oA0zkEBTVFnPzp3fy6qYFODgKv0RERERERLqJvWuAGXFfd4CZKdkA2GXbcWw7LHVJ21IAJnIIlu5ZQX2wgXXlG3AcJ9zliIiIiIiISBtwHAe7pgz4VgdYfAa4vGD5cap2h6s8aUOaAilyAI7jYBgGx+QfSVJkIgOT++MyXeEuS0RERERERNpCoAEzPg27pgwjNjl0t2GamCnZOPXV2A016h7qBhSAiRzA/C3vUhOoZW6/4xiXMSrc5YiIiIiIiEgbMrxRxJx6W6j54ZuiT/wVhqnYpLvQd1LkO+ypK+WVTfOxHZv+iX0YkTY03CWJiIiIiIhIO/h2+AUo/Opm9N0U+Q5p0Sn8aOg5rK/YqPBLRERERESkG3L8dWC6Mdze/T9u2zg1JZjx2gitq9M0VpFv8VsBXtu0gIAVYGTaUOYNODHcJYmIiIiIiEg78H3+H2oevxjfly/t85gT8FHz5KXUPnctjq82DNVJW1IAJvItz695gVc3LeDPy/8W7lJERERERESkHTk1pQAYkXH7PGZ4IjAiYwGwSrd1aF3S9hSAiXzLuIxRxHljOTp3erhLERERERERkXZk15QAYMam7vdxV0pu43FlCsC6uhYHYLZt84c//IFp06YxYsQILrjgArZs2fKdx+/Zs4err76aCRMmMGHCBH76059SVFR0WEWLtIcdNbtoCDZQmDyA3036JQVJ/cJdkoiIiIiIiLQju7oxADPiUvb7uJmS03icOsC6vBYHYA899BDPPfcct956K88//zyGYXDRRRfh9/v3e/xVV13Frl27eOKJJ3jiiScoKiriJz/5yWEXLtKWKnyVPLj4z9z9xR8prS/H69r/AogiIiIiIiLSPTj+OvDXA9/dAWYmNwZgljrAurwWBWB+v5/HH3+cK664gunTp1NYWMh9993H7t27WbBgwT7HV1VV8fnnn3PRRRcxePBgBg8ezMUXX8yKFSsoLy9vs09C5HBV+2swMTENk1hvTLjLERERERERkXZmVzet/xURi+GJ2O8xrr0dYGXbcWyrw2qTtuduycGrV6+mtraWiRMnhu6Lj49n8ODBfP755xx//PHNjo+IiCA6OpoXX3yR8ePHA/DSSy+Rn59PQkJC64t2d5+ly1wus9n/peP5gj76JOXw60k/I2AFiImIDHdJ3ZqueelpdM1LT6LrXXoaXfPS03S3a96uLwPAjE/9zpzBSc4AdwQEfZg1xbiSe3dkidKGWhSA7V27KzMzs9n96enp7Nq1a5/jIyIiuO222/jd737H2LFjMQyDtLQ0/v73v2OarfuBMU2DpKTu16ETHx8V7hJ6pHc3fsy/VrzKL6b+mD4ZOeEup0fRNS89ja556Ul0vUtPo2teeprucs1Xrq+iFohI7nXAnKG+Vx6+HWuJbCgmNqmg4wqUNtWiAKy+vnFurNfbfH2kiIgIKisr9znecRzWrFnDqFGjuPDCC7Esi/vuu4/LLruMZ599ltjY2BYXbNsOVVV1LX5eZ+VymcTHR1FVVY9l2eEup0exbIuXVi1gT10ZH238ksS+yeEuqUfQNS89ja556Ul0vUtPo2teepruds3bvUcTe1I6hjuC8vLa7zzOO/kcIrxR+OPTDnichEd8fNQhdSW2KACLjGycGub3+0MfA/h8PqKi9k2AX331VZ555hnefffdUNj18MMPc+SRR/Lvf/+b8847ryXDhwSDXf8H7dssy+6Wn1dnFbCDeEw3V436Me/v+JRZOTP09e9guualp9E1Lz2JrnfpaXTNS0/Tba55TwxGr4HAQXKGpFwcwLIAusHn3UO1aB7i3qmPxcXFze4vLi4mIyNjn+MXLVpEnz59mnV6JSQk0KdPHzZv3tyKckUO38bKzfz2k7tYV76BaE80x+YfhWl0jznsIiIiIiIiIrKvFr3qLywsJDY2loULF4buq6qqYuXKlYwdO3af4zMzM9myZQs+ny90X319Pdu3bycvL+8wyhZpvY92fEa5r4LXNr8d7lJEREREREQkTOrf+hMN7z+OXbfvkk7f5Ng29fMfpObZa3AaajqoOmlrLQrAvF4v55xzDvfccw9vv/02q1ev5qqrriIjI4NZs2ZhWRZ79uyhoaEBgLlz5wLws5/9jNWrV4eO93q9nHLKKW3+yYh8l4AdZFnJSgBOHziXY/KO5JJhrZuCKyIiIiIiIl2bE/QT3Pg5gdXvY5iuAx5rmCZW6Vac6j1YZds6qEJpay2e93XllVcyb948brjhBs4880xcLhePPfYYXq+XXbt2MXXqVF577TWgcXfIZ555BsdxOO+88zj//PPxeDw8++yzxMfHt/knI7I/fivA/V8+zCNLn2JZyUq8Li8n9ZtNpDsi3KWJiIiIiIhIGDg1pY0feCIh4rt3gNzLlZIDgF26tT3LknbUokXwAVwuF9dccw3XXHPNPo9lZ2ezZs2aZvf169ePhx9+uPUVihwmr8tDblw2xXV7cJstvuRFRERERESkm7GrSwAwY1MwDOOgx5vJObD5S6xSdYB1VUoDpFtyHIcPdnxCWUMFc/sfx/cHnMDRudNJiUoKd2kiIiIiIiISZnZTB5gRm3JIx5spuY3P0xTILksBmHRLW6u38/zaFwEYkjKQAUn9FH6JiIiIiIgIAM7eDrC41EM6PjQFsnwHjm0ddN0w6XwUgEm3Ut5QQawnhrz4HGbnzyTCFUH/xL7hLktEREREREQ6ka87wA4tADPiUhvXCws0YFcU4Uru3Z7lSTto8SL4Ip3VuvKN/P7zB3huzQs4jsMJfb/HrLwZhzSfW0RERERERHqOvYvgm3GHNgXSMEzM5GwA7DIthN8VqQNMug3LsagN1LGtZgcNlo8od2S4SxIREREREZFOyJUzDCMqHjMp65Cf4x18FE6/CbjS+7VjZdJeFIBJl+a3Aryx+W2OyZtBYfIAfjz8hxQk9cPr8oa7NBEREREREemkIkbNafFzPAMmt0Ml0lEUgEmX9viKp1lWspLi+hIuHHoOQ1MHhbskEREREREREelktAaYdEkBKwDA9/KOJDEigWlZE8NckYiIiIiIiHQFdk0Zgc1fYpXvbPFz/avfo+HDv2I3VLdDZdKeFIBJl+I4Du9s+4DbPruXGn8tfRLyuHnitQxM7h/u0kRERERERKQLsHaupGH+H/B9/HSLn+tf/BqBle9gl2gh/K5GAZh0KT7Lz3vbP2ZPfSmfFn0BgMflCXNVIiIiIiIi0lXY1U07QMYe2g6Q3+TSTpBdltYAky7BdmxqArXEe+O4ZNh5rK3YwPTeWoBQREREREREWsapKQHAiGt5AGam5MLmRVil29u6LGlnCsCk03Mch/+sf4Uvdy/l8pEXkhWbQVZsRrjLEhERERERkS7IrtnbAZba4ueaKTmN51AHWJejKZDS6fksH6vK1lHpr2Jnza5wlyMiIiIiIiJdmF3d1AHWmimQewOw8p04VrBN65L2pQ4w6dQagj4i3ZFcPfpSVpWuYWzGqHCXJCIiIiIiIl2U49g4NWUAmK2YAmnEpoInCgL12BW7QoGYdH7qAJNOa0Xpam765Pesr9hEjCda4ZeIiIiIiIgcFqeuEuwgGAZGTFKLn28YxtddYGXb2ro8aUcKwKRTchyHd7d9SE2gloW7vgh3OSIiIiIiItINOPVV4HJjRCdhmK2bFOfKGoQrZzhGREwbVyftSVMgpdOxbAuX6eLiYefx9tb3mZU3PdwliYiIiIiISDfgSs0j9oJHwV/f6nNEjD25DSuSjqIOMOlUKnyV3PbZfSzZsxyvy8PsPjNxtzKVFxEREREREfk2wzDVvdUDKQCTTuWdbR+wu66Ylza8gWVb4S5HREREREREuhHHcdrkPHZNKcEti3H8dW1yvgNxgn7susp2H6e7U2uNdAqO42AYBif1nQ3AEb0n4TJdYa5KREREREREupP6Nx/ALt1K5JRzcee3fqO1ulfvxqksIuq4X+DOHtqGFe6r/q0/YW1fQfRJv8aV1qddx+rO1AEmYWc7Nk+seIaPdi7EZbo4pf8JpEa1fDtaERERERERkQNxqvfg1JaB23NY5wntBFm6tS3K+k5W6VasrUvADuL7/N/tOlZ3pwBMwm7R7iUsKl7CP9a8SGl9ebjLERERERERkW7IcRzs6hIAzNjUwzqXmdwYgFml2w67rgMJbv4q9LG1fQV2ZVG7jtedaQqkhN3YXiMpqismKyaDlKikcJcjIiIiIiIi3ZGvFoI+AIzY5MM6lSslFwC7rH0DMO/oE3FnD6H+nUdwqvfgXzafyKk/aNcxuyt1gEnYfLzzM17f9BYAc/p+jzG9RoS5IhEREREREemu7JrG7i8jKh7D7T2sc5l7p0CW78KxAodd23cxDANXr/5ETv8RAIE1H2DXV7XbeN2ZAjAJi6LaYp5Z/W9e2TSfZSUrw12OiIiIiIiIdHN2dSkAxmFOfwQwYpLBGw2OhV2+87DP922ObREsWhfatdKVORAzrQ9YAYIbP2/z8XoCTYGUsMiISWdewYnsqN7FsNTB4S5HREREREREujmnqQPMjGuDAMwwcKXkYO1ag122DVdq3mGf85uCWxbTsOBBXL2HEH38NRiGQcTEM8BxcGUObNOxegoFYNKhdtYUsbBoESf1m82M7Ck4joNhGOEuS0RERERERLq5vQvgG7EpbXI+MyUXa/cGnHaYkhhY0bhckCutT+g+t4Kvw6IATDqM3wrw0JLHKfdV4DU9HN/3GIVfIiIiIiIi0iE8BVMxk7NxJWe3yfkixp5MxMTTMcy2jVassm1YO1eBYeIZfOQ+jzuOg128ATOtL4apla0Olb5S0mG8Lg8n9z+e7NgspudMCXc5IiIiIiIi0oO4UvPwFk7Hld6vTc5neKPbPPwCCCx/GwB3/mjM/XSr1b95P3Uv3Upwy5dtPnZ3pgBM2p3fCvDqxvkErABjeo3gunFXEuuJCXdZIiIiIiIiIofNCfpxrGDbnMtXS2D9xwB4hs7a7zGulFwA/EteDy2SLwenAEzaleM4PLHiGV7b/BZPrHwWANPQZSciIiIiIiIdxwk00PDhX/EtfhXHsdvsvHVv3E/NE5dg7VjZJucLrHkfgn7M5BxcGQX7PcYzZCaYbuziDVi717XJuD2BkghpV4ZhMDlrHCmRSRyVMy3c5YiIiIiIiEgPZFeXEFj5Dv7Fr2K0YVOG4faC42CVbTvsczm2jX/FOwB4hh79nWtmm9GJeAomAxBY8vphj9tTKACTdlPhqyRgBRiWOpibJ11H/8Q+B3+SiIiIiIiISBtzahp3gDTj2mYHyL3MpumIdunhB2BYAdx9xmLE98LTf+IBD/UMPxaA4JbF2BW7Dn/sHkABmLQLy7b487K/8fvPH2BnTZGmPYqIiIiIiEjY2NWlAJixqW16XldKTuP5y7Ye9rkMTwSRE08n5vQ7MNwRBx43MQtX7kjAwb/0zcMeuydQKiHtoqShjNKGMip8VUS5I8NdjoiIiIiIiPRgTk1jAGbEtW0AFuoAqyjCCfrb5JyHOkXTO2I2AIF1H2LXVbbJ2N1Z2+/XKQL0ik7jhgk/Z2dNEUmRieEuR0RERERERHowu7ppCmRs206BNKITMSJicXw12BU7caXmt+o8vkUvAgaewUdiRsUf0nNcGQW4eg/GTOoN37FemHxNAZi0Kcu2+Ouq5zkqZxp58TkUJPULd0kiIiIiIiLSw9l7O8DaOgAzDMyUHKydq7BLt7UqAHP8dfiXvA5BH67MgkMOwAzDIOq4a75zsXxpTlMgpU29vfV9vti9mP9b+gR+KxDuckRERERERERCUyDNNp4CCWAmN64DZpW2bh2wwJoPIOjDTMrGlVnYoucq/Dp06gCTNjW593i21+xkRNoQvC5PuMsRERERERGRHs5xbFzpfbGr97T5GmAAnsJpuHOGYabmtao2/4p3Gs8zZGarAi0n4MO/4i2srUuIOuE6DNPV4nP0BArApE0ErABFdcXkxPXmgqFnh7scEREREREREaBxUfmoY65st/O7knOgqQuspaxty3CqdoM3Gs+Aya0rwIDAktdxfDUENy/C03d8687TzWkKpLSJVzct4K4vHuTtre+HuxQRERERERGRLsG/4i0APAOnYXgiWnUOwx2BZ8hRjedb8jqO47RZfd2JAjA5bI7jUO6rwHZsUqPadkFBERERERERkcNh15Rhle/ACfjabQz/0jeoe/UugjtWHnpdFbuwti0DDLxDZh7W+J4hR4PLg71nE1bR2sM6V3elAEwOm2EYnD/kLH4x5nJGpA0JdzkiIiIiIiIiIYHV/6Pun7/G9+mz7TaGVbIZa8dKrOINh17X+k8BcOWOwIxPP6zxzah4PAVTAPAvee2wztVdaQ0wOSz/XvcyXpeX2fkz6ZOQG+5yRERERERERJqxqxt3gDRi234B/L3M5FzgU+zSbYf8HO+Yk3Cl98GISmiTGrzDjiWw6j2srUuwynfiSspqk/N2F+oAk1bbWVPEO9s+4I3Nb7Oxcku4yxERERERERHZh1NTAoAZ135L9rhSGhfBt0u3HvJzDMPEnTsSV1qfNqnBTMzAnT8KgMDSN9rknN2JAjBptazYDC4YcjazcmdQkNQv3OWIiIiIiIiI7MOubgzA2rUDbG8AVrUbJ3jgtcYcx8aq2NkudXiHzwbA2r0exw62yxhdlQIwaZUle1YQtIOM6TWCuf2PC3c5IiIiIiIiIvtwbAunthwAM7b9OsCMqASMyDhwHOyyHQc81tq+grp//Ir6+Q+2eR2ujAFEHfcLoufdimFq1atvUgAmLbaidA2PLnuKe774IwElyiIiIiIiItJJOXUV4NhguDCiE9ttHMMwMFMa18W2yg68Dph/xVuNz4lNbpda3NlDMUzFPd+mr4i0mO1YxHii6Z/YF48SZREREREREemkvp7+mNzuoZB5COuA2ZW7sbYuBcA7ZGa71mNV7CS4Y2W7jtGVKL2QFrEdm2Gpg/n1+J8T5Y4IdzkiIiIiIiIi38mpadwB0oxrv/W/9nJnDwXHwZ095DuP8a94G3Bw5QzHTMhot1qCW5dQ/8Z9GLEpxJxxF4bparexugoFYHLIluxZzmub3uIHg0+nd2xmuMsREREREREROSB3v4nEZA4EK9D+Y2UPbQzBvoMTaCCw5gMAvEOPbtdaXFmDMCLjcGpKCW78HE//ie06XlegKZBySGzH5r8b32R7zU6+2L043OWIiIiIiIiIHJRhmpixKe3abXWoAus+hkA9RkIvXAcIytqC4fbiaZpi6V/6Oo7jtOt4XYECMDkkpmFy5ciLOTJ7Ksf1mRXuckREREREREQ6HWv3evxLXscq2dzsfsdxCCxvXPzeO+RoDKP94xjPkJng8mKXbMHatbrdx+vsFIDJQa0oXcOOml0kRMQxr+BELXwvIiIiIiIiXULdq3dT98qdWBU7O2Q8/8p38C18nmDTQvchQR9mej+MyDg8BVM7pBYzMg7PwMax/Ete75AxOzMlGXJAlb4qnlrxLA2WjytHXUz/xD7hLklERERERETkoBzHwSpaC1YAo4MaOVzJOQTZdydIwxNJ1Iwf4QT9GG5vh9QC4B1+LIGV72JtW4pVth1XcnaHjd3ZqANMDsg0TPom5pMVm0Gf+NxwlyMiIiIiIiJySJz6qqbF7w2MmOQOGdNMyQHAKtu238c7MvwCMOPTcfcZA4B/6RsdOnZnow4w+U4NQR9x3lguGXYe9cF6XNo2VURERERERLoIp6YUACMmEcPVMfGHmdLYOOJUFuMEfBieCPzL5oPpwlMwBcMT2SF1fJN3xGxwefAO7dnreSsAk/0qb6jg958/wFE50zg6dzrRnuhwlyQiIiIiIiJyyOyaEgCM2JQOG9OMiseISsCpr8Qu346ZnI3vy5fAV4sZm4I7b2SH1bKXK70fUUf16/BxOxtNgZT9+nTXImoCtSwrWYlhGOEuR0RERERERKRFnOrGDjAzLrVDxw1NgyzdRmDdJ+CrxYhLw5UzvEPr2B/HsXHsYLjLCAt1gEkzu2uLSYlK5tj8o0iOTCQ/IRezA7ZnFREREREREWlLezvAzNgODsCSc7C2L8cu3dq4CD/gHXI0hhne19aBzYvwf/5vPAOn4x3+vbDWEg5KNiTky+Kl/P7zB/jP+lcxDIMJmWPoFZ0W7rJEREREREREWsyu7vgpkACu1DzMxEzs8p3YZdvB7cUzcGqH1rA/Tn01dvlO/CvfxnGccJfT4dQBJiEe043fDrC7tpigHcTdQdvEioiIiIiIiLQ1T8EUXEm9caX37dhx+0/E038i9fMfbLw9YApGREyH1rA/ngGTcWpK8Qw6skcudaSEo4crb6jglU3zOb1gLsNSB3PFyIsoSOqnaY8iIiIiIiLSpXn6joe+48Mytl1TSnDLl411DDk6LDV8m+H2EjHu++EuI2yUcvRgtmPzpyWP8emuL3hh/WsAFCYPUPglIiIiIiIi7caxLXxf/Idg0/pY3ZFVtA5cHsy0PriSe4e7HEEBWI9kOzaVvipMw+S0gpPIi89hZu4R4S5LREREREREeoDguo/xf/lf6v97O45jt8sYdk0p/qVvEty6tF3Of9Dxq0vAtomYcFpYxpd9aQpkD1MbqOPJlc9SUlfKteOupCCpP78Yc5m6vkRERERERKRDWOU7vv5452rcvQe3/RglW/B9+ixmaj7u3OFtfv6DiRh1At7hx2K4FLt0Fi1OPWzb5g9/+APTpk1jxIgRXHDBBWzZsmW/xz744IMMHDhwv/9df/31h128tJzjOOyq2U25r4KtVdsBFH6JiIiIiIhIh7ErikIfB9Z91C5jODWlAJgdvAPkNyn86lxa/N146KGHeO6557jjjjvo1asXd999NxdddBGvvPIKXq+32bEXXHABZ5xxRrP7/vWvf/Hwww9z3nnnHV7lcsgcx+HjnZ/ROy6T/PhcLhp2Li7DRXZcVrhLExERERERkR7GLtvW+IEnCnf+mPYZo7oEACMutV3OL11Pi1p//H4/jz/+OFdccQXTp0+nsLCQ++67j927d7NgwYJ9jo+JiSEtLS30X319PY888gi//OUvKSwsbLNPQg7sgx2f8syaf/OXZX+nLlBPXnyOwi8RERERERHpcI6/LtSdFXvWPXjyR7fPOHs7wBSASZMWdYCtXr2a2tpaJk6cGLovPj6ewYMH8/nnn3P88ccf8Pm///3vGTBgAKeffnrrqm3idnefKXsul9ns/22pIdhApDuSSb1H8/6Oj5iYNZbYyChNeZSwas9rXqQz0jUvPYmud+lpdM1LT9MW17xjRBL3/ZuxKovwxMS1VWn7jtMUgLkTUrtVhiCt16IArKiocZ5uZmZms/vT09PZtWvXAZ+7bNky3n77bZ566ilMs/UXn2kaJCXFtPr5nVV8fFSbnu/zHUv4v8/+xs+nXMyQ9ALumX0DHpenTccQORxtfc2LdHa65qUn0fUuPY2ueelpDvuaTx0GDAOgZuVH1Cx7j9TZl+COb7v1uiprGwOwxKwcIrphhiAt16IArL6+HmCftb4iIiKorKw84HOffPJJRowY0ax7rDVs26Gqqu6wztGZuFwm8fFRVFXVY1ltt/3rhxu/oMZfy0srFpDl6d10r7/Nzi/SWu11zYt0VrrmpSfR9S49ja556Wna45qv/vQVgrvWsueLt4kcdeBZZYfKCfiw66oAqHFiqCuvbZPzSucUHx91SF2JLQrAIiMjgca1wPZ+DODz+YiK+u4EuK6ujgULFnDTTTe1ZLjvFAx2v39cLMs+7M+ryl/NitI1TMocy2kD5tIrKp2jcqZ1y6+XdH1tcc2LdCW65qUn0fUuPY2ueelpDuear//fYwBEjDweMzEDV//JBHetxbf6Q1xDj8UwjMOuz66txkzKwvHVYbkisfXzKbQwANs79bG4uJjc3NzQ/cXFxQdc1P6DDz7Atm1mzZrVyjLlYGr8tdz9xR8paygn1hPNsNTBzMqbEe6yRERERERERABwHJvgxs8g6MM7YjYAnr7j8H38d+zyHdilW3Gl5h32OGZsMjGn3n7Y55HupUWLcRUWFhIbG8vChQtD91VVVbFy5UrGjh37nc9btGgRQ4YMIT4+vvWVygHFeKIZnjqY9KhU0qK0y4WIiIiIiIh0Lk51CQR94HJjJvQCwIiIwZ3XuBNkYO1H4SxPurkWBWBer5dzzjmHe+65h7fffpvVq1dz1VVXkZGRwaxZs7Asiz179tDQ0NDseatXr6agoKBNC5dGW6q2MX/zuxiGwfcHzOGasZeTEZMe7rJEREREREREmrFKtwFgJvXGMF2h+z0FkwEIbvgUx7YOexzHV4tjBQ77PNK9tHg7xiuvvJJ58+Zxww03cOaZZ+JyuXjsscfwer3s2rWLqVOn8tprrzV7TklJCYmJiW1VszSp9FXzh6/+zEsbX2fhrkWYhkm0JzrcZYmIiIiIiIjswy5rCsCSc5rd78oeihEVj1NfhbV9+WGP0/DR36h57CL8y9867HNJ99GiNcAAXC4X11xzDddcc80+j2VnZ7NmzZp97v92ICZtIyEiju/lHcmqsrWMSBsS7nJEREREREREvpPd1AHm+lYAZphu3P0mElg+n8Daj3DnjjiscZzq0sbzRmkZJvlaiwMwCb+vipexunwdpxfM5Zj8I5mZewSub7SPioiIiIiIiHQ2Vtl2AMyUnH0e8xROx4xLwd1v4mGPY9c0BmBmnNbHlq8pAOtiyhsqeHLFMwQdi77xeUzIHKPwS0RERERERDo1J9CAU1UMgJmcvc/jruTeuJJ7H/44VhCnthwAIzblsM8n3YcCsC7EdmySIhM5s/D7bKjYzLiMUeEuSUREREREROTgbAvv2Lk41SWYB5ma6FhBDFfr4gqntgxwwOXRFEhpRgFYFzF/87tsrNrMRUN/wMTMsUzMHBvukkREREREREQOiRERQ8Tokw54jOPY+D78K4ENnxFzys2Y8ektHmfv9EcjNgXDMFpTqnRTLd4FUjpeaX0Zr21ewLKSVSzec/g7YoiIiIiIiIh0NoZhYlftAX8dgXWftOocTnUJAKamP8q3KADrxGzHpiHoIyUqmYuG/YCT+x/PmF6HtxuGiIiIiIiISEfzr/ofgQ2f4fhqD3icp2AKAIF1H+E4TovH+XoBfAVg0pymQHZSlm3xzOp/s7tuD5ePvJAhKYUMSSkMd1kiIiIiIiIiLeI4Dr6F/wB/HdHf/x2uiJjvPNadPwbcEThVxdi71+PKGNCisTyDjsSVORDjAGNIz6QOsE6q3FfB0pIVbKnexsbKzeEuR0RERERERKRVnNoy8NeB4cJMzDzgsYYnAnefxjWvA+s+bvFYZnQC7qxBuFJyW1WrdF8KwDoZv+Wn0ldFalQKl438ET8aeg6DUwaGuywRERERERGRVrHLtgFgJmZiuDwHPT40DXLDQhwr0K61Sc+hAKwTqQ828Kclj/HAV49S7a8hPz6XkWlDw12WiIiIiIiISKtZpU0BWEr2IR3vyizEiEkGfx3BLYsPeRzHsal7/V4a3n8Cx1/fmlKlG1MA1onUB+spqS+j0ldFaUNZuMsREREREREROWz23gAs+dCmJRqmiWfAJACsorWHPI5TV4m1bSmBNR+A29vyQqVb0yL4nUBFfSVFtWWkRqZy5aiL8QV95MYfWjIuIiIiIiIi0pnZZdsBcB1iBxiAZ/BM3P0n4krOOeTnONUlABgxSRimq2VFSrenACzMyhoqeODjR2gI+Lhq9KX0ik4Ld0kiIiIiIiIibcIJ+rErdwFgtiDMMmOTgeQWjWXXlDY+Ny61Rc+TnkFTIMPMa3rwmG5chgvHCXc1IiIiIiIiIm3HaajBTO+HEZeKEZ3Y8uc7DlbJ5kM61q5p6gCLVQAm+1IHWJjFemO4YcZPKa+oIc4dH+5yRERERERERNqMGZtMzEk34DgOhmG06LmOFaTuXzdgVxYRfertuJKyDnx89d4OsJRW1yvdlzrAOoGkqASSIhPDXYaIiIiIiIhIu2hp+AVguNwYCb0ACK77+KDHf90BpgBM9qUATERERERERETahVW2Hcdf1+rnewqmABBY9zGOYx/w2FAHmKZAyn4oABMRERERERGRNuc4DvWv3EnNkz/BKtnSqnO4c0eCNwqntgxr15oDH5s/Gnf+GMymrjGRb9IaYCIiIiIiIiLS5pz6SpyGajAMzMTMVp3DcHvx9B1PYPV7BNZ+hDtr0HceGzF+XmtLlR5AHWAiIiIiIiIi0ubs0m0AmAkZGG5vq8/jbpoGGdz0BU7A1ya1Sc+jAExERERERERE2pxd1hSAJecc1nlcvQZgxKVBoIHg5kX7H6uqmOCWr7Ariw5rLOm+FICJiIiIiIiISJuz9naAJWcf1nkMw8AzYDJGVAKOFdjvMcHNX1L/5gP4Pv/PYY0l3ZfWABMRERERERGRNmeXbQfAlXJ4HWAA3hHH4R19Iobp2v9YNY07QBqxKYc9lnRPCsBEREREREREpE05VhC7Yidw+FMgAQxPxIHHqy5pHCsu9bDHku5JUyBFREREREREpE3ZVbvBtsAT1aZdWXZVMf7lC3Acp/n9TR1gZpw6wGT/1AEmIiIiIiIiIm3KldSb2PP+hF1TimEYbXJOJ9BA7T9/DVYAV0YBrtS80GNfT4FUB5jsnzrARERERERERDoRq2gdgfWf7tPl1NUYETG4UnLb7nyeSNx5IwEIrPs4dL/jrwdfLQCm1gCT76AATERERERERKSTcBybupdvp+Gdhwlu+TLc5bRae4V3ngFTAAiu/wTHtoCvu7+IiMHwRrXLuNL1KQATERERERER6STs8h3QFB65swaFuZrWq/vnr6h96Vbsqj1tel5XzlCMyDic+iqs7SsAcBqqweXG1PRHOQCtASYiIiIiIiLSSVi71gLg6j0Ewxsd5mpax26oxq7YBYARGdum5zZMN+7+EwksX0Bg3Ue4c4fjzhpE7AWPgr++TceS7kUdYCIiIiIiIiKdhFW0DgBXRgEATkNNOMtpFbtsOwBGXFq7TEkMTYPc/CWOv65xLMPEiIhp87Gk+1AAJiIiIiIiItIJOI6DVdTUAZYxgIZPn6Pm6atCoVhXYZduA8CVktMu5zdT8zCTssAKENj4eZffLEA6hgIwERERERERkU7AqSnFqS0Dw4UrvR/468AK4Pvq5XCX1iJ2WWMAZia3TwBmGAaewhm4+03EldSb+v/eTs0zPye4c3W7jCfdg9YAExEREREREekE9nZ/mal5GJ4IvCNPILDmA6xtS7FKNuNKzQ9vgYfIapoCaSZnt9sY3mHHhD62q4px6isxPJHtNp50feoAExEREREREekEjNgU3P0n4u4zBgAzPh13v4kA+L/sGl1gjm2H1gBrrymQzcYL+nHqKwEw4lLafTzputQBJiIiIiIiItIJuDMH4s4c2Ow+76gTCK7/lODmRVhlO3Al9w5TdYfGqdoNVgDcXoy49PYdK+jH98ULjTfcXoyItt1xUroXdYCF2frtlTz16kp2ltSGuxQRERERERHpZFxJvUMdYf7Fnb8LzIhOIHLmT4iYcDqG2c6Rg2MTWPp648dBP4ZhtO940qUpAAuzNz/byr/eWcf1j3zCoy+voKisLtwliYiIiIiISAezSrYQWP0+dlXxPo95R80BILhhIXZlUUeX1iKGNxpPv/F4h8xs/7E8kRhR8Xtvtft40rUpAAuz04/qz8ShGTgOfLpiN7/+86f8+eWV7FYQJiIiIiIi0mME1n9Kw/uP41/86j6PuVLzcOWOwJVRgBMMhKG6zivqhOswU/OJnHV5uEuRTk5rgIVZamIUvz5/Al+t3MV/3tvI4vUlfLKiiIUrdzNpSC/mTMknPSk63GWKiIiIiIhIO9q7A6Qro2C/j0fN/AmGJ6IjS2qVhg+exIhOwjtkJkZk+6/J5UrqTcwpN7f7ONL1KQDrJPIz47ly3nA27aripQ83sXRDKR8tL+KTFbuZPCyDOZPzSUuMCneZIiIiIiIi0sacoA+7ZDPw3QFYVwi/HH8dgVX/A8A79OjwFiPyLQrAOpk+mfH87NQRbNzZGIQt21jKh0t38cnyIqYMy+CESfmkKggTERERERHpNqziTWBbGNGJGHGp33mc4zhYO1fhX/IakdN/hBmT1IFVHpxVth0AIyYZIyImzNWINKc1wDoBx7FxHKfZfX2z4rnqtBH8+twxDOmTjGU7vL9kF9c/+ilPvbGa0sqGMFUrIiIiIiIibemb0x8PtpOhf9GLWNuX41/6RkeU1iJ26TYAzJScMFcisi8FYJ1A+f+eoe7dv+BY+y5m2K93Aj8/fSS/OmcMg/OTsGyH9xbv5JePfMJf31xDWZWCMBERERERka7sYOt/7WUYRmhHyMDKd7Hrq9q9tpawyxoDMFeyAjDpfBSAhZlVsYuKT17Cv/oD6l658zt/gfXPTuAXZ4zil2ePZlBeYxD2v6928MtHPuHv89dQXu3r4MpFRERERETkcDm2jbV7PQCujAEHPd6VPRQzrQ9YfgLL5rd3eS2ydwqkmZwd5kpE9qUALMxciZlknPFrDG809u711L3wW6zSrd95fEFOItecOYrrzhpFYW4iQcvhnS93cN3Dn/D0grUKwkRERERERLoQx1fTOPUxNgXzEDqnvtkF5l/xFo6vtr1LPCSOY2PvDcA0BVI6IQVgnUB035HEff8mjIReODWl1L10K4FNiw74nIG5SVx71miuOXMUBdkJBC2btxdt51d//pS12yo6pnARERERERE5LGZUPNGzrybmzHswzEN7ie7OG9nYZRVowL98QTtXeGic6hIINIDLjZmQEe5yRPahAKyTcCVlEjP3Rly9h0DQT8OCB/F9+d99Fsf/tkF5SVx39mh+ccZI8jPi8Pkt7v/nEjbu7FxzwUVEREREROS7HWzx++bHmnhHnQiAf/kCHH99e5XVIu6Cqbj7jMMwXeEuRWQfCsA6ESMihqjZV+MZOgsA/1ev4FTvOfjzDIPB+clcd/ZoCnMTafBb3Pv8Yrburm7vkkVERERERKSVHMchuPmrVi1m7+4ztrHTKujDKt7QDtW1jBmfTtSMC4k66pJwlyKyX+5wFyDNGaaLyMlnYyb1xoiIxoxPP+TnRnhcXDlvOPc+v4T1Oyq557nFXHf2aHqnxrRjxSIiIiIiItIaTvUe6uc/AKab2B8+hOH2HvJzDdMk8siLMWKTMaMT269IkW5CHWCdlHfQDDx9x4du+1f9D6t440GfF+l187NTR5CfEUdNfYB7nv2K3WV17VmqiIiIiIiItIJVtBYAMy2/ReHXXq70vp0m/Aqs/xSreCOOHQx3KSL7pQCsCwjuWInvw6eoe/l2Aus/Oejx0ZFurj59JNlpsVTW+rn7ua8oqegcc8JFRERERESkkbWrMQBzZxQc1nmcoA//yndwrEBblNXy8QMNNLzzCHUv/g7HpwYM6ZwUgHUBrrQ+uHJGgBWk4Z1H8H32LxzHPuBzYqM8/OKMkWSmRFNW5eOuZ7+irKqhgyoWERERERGRg9nbAebKGNDqcziOQ91/b8f34V8JrPmwrUprEbt8B+BgRCVgRsWHpQaRg1EA1gUY3iiijrkS78jjAfAvfoWG+Q8edKeP+BgvvzhjFOmJUZRUNnD3c4uprPF1RMkiIiIiIiJyAHZ9FXZlEQCuXq0PwAzDwFMwFQD/klfDMgXRKt0GgJmS0+FjixwqBWBdhGGaRIw/lcgjLwaXm+CWr6h76TbsqgPvEpkUF8EvzhxJSnwEu8vquOf5xVTX+TuoahEREREREdkfq2gdQOMGaJGxh3UuT+F0jKh4nOoSgus/bYvyWsQuawrAkhWASeelAKyL8QyYTPSc6zGiErDLt1P339twAgfu6kpNiOKaM0eREOtlx55a/t/zi6lrCM/ccBERERER6ZwcK4BVupXAuo/xLfwHdW/cR83zv8S3+LVwl9YttcX0x70Mtxfv8GMB8H31Co594CVz2ppdth0AlzrApBNTANYFudL7EX3yTZipeXhHn4jhiTjoc9KTornmjFHERXvYuruG+/6xhHqfducQEREREelpHNvGriwisGlRs53mA2s/ou7fN9Lw7qP4l7yGtXUJTmUR/q/+i2PptUObC9SD6cJ1mAvg7+UZdCRExOBUFhHc9HmbnPNQOI7z9RRIdYBJJ+YOdwHSOmZsMtEn/QbD9fW30CregJmaj2G69vucrNQYfnHGKO565ks27KzigX8t5arTRhDh2f/xIiIiIiLStdl1Fdhl27HLtmGV7Wj8uHwnWI3LongKj8CV3hcAV1Jv8EbjSs7GTM7GTOqN/8uXcOqrsHatxp09NJyfSrcTecQFREw+p83OZ3ij8A47Bv8XL+D/8mXcfcdhGO3f8+LUloG/DgwXZmJmu48n0loKwLqwZuHX7vXUvfx7XFmFRB1zJYbbu9/n5KTH8vMzRnL3s1+xdlsFf/z3Uq6cNxyPWyGYiIiIiEh34/vwbwQ3L9r3AZcHMykLIzY1dJfZqx+x5/0JwzBC99klWwiseZ/g9uUKwNrBd71uay3vkKPxL3kDu3w71taluPNGtun598epq8CISsCIimv2GlWks9HV2U049dVgmljbl+P77F9ETj7rO4/Nz4jnqlNH8v+eX8yKzeU89MJyLjtlGG6XZsSKiIiIiHRlVtkODLcHMz4daNyVzyzf0djR1dTV5UrOwYhPxzCb//2/v24hz7BjcA+ciiu9f4fU31PYNaUYkbEY7oMvZ9MSRkQMEeO+j+GNxJXTMYGlK70fsec+cNC1qUXCzXAcxwl3ES1hWTZlZbXhLqPNuN0mSUkxlJfXEgwe3kKFwa2LqX/jfgCiZl+NO2f4AY9fvaWc+/65hEDQZszANH580hBcpkIwaV9tec2LdAW65qUn0fUuPU1nvObrXr8Xa9syIqadh3fQDBzHadbRJZ1D3at3Y+1cTeTMS/D0HR/ucg5ZZ7zmRZKTY3AdQkOP0o5uxJ07Es+QowFo+N9fsOsqD3h8YV4SV5wyDLfLYNGaPTz26ipsu0vloSIiIiIi0sSuKMLathQAd9YggDYNv5ygv83O1ZM5toW1ez04VruvmWXXlNLePS92XWW7jyHSFhSAdTMRE07DTMrGqa+i4b3HDvqLaGjfFC6dOxSXafDpit389c3V2PrlJSIiIiLS5fhXvAWAK3c4ZkKvNjuvtWcTtf++ifpX726zcx4Ox3Gwynfi2F1zZ0q7dCsEfeCNxkzq3S5jOI5Dw/9n777j46rO/I9/7r1T1bstS+6990KxjbFpodcAIY0s2TSSTRZI+WUh2WRTScimkLILG0ggEFroBNOxccW9V9mWLVuyepl67/39ISMwNiBZI81I+r5fL78k3bn3nGfs46uZZ855zuv30vy3W7ArtnVJH9CaFG1+4Os03f8V3HBTl/UjkghKgPUyhsdHYOEXwPJgH9hA7NgvwQ8zdWQhN108DsOAN9ZX8LfFO5XBFxERERHpQdxoC7EdSwDwTTgnoW0bwSyc6n3YR3bhhBoS2vapiG1aTMsj36Hlke8S37++x713sQ/vAMDqP7LLdmk0DAMsD7gu0bVPd0kfAE7dIXAdDAzwp3dZPyKJoARYL2TlleKfcy0Abjt/Qc0a248bPzYWA3h5TTmPvLa7x/0iERERERHpq2Lbl0AsjJkzAKtkfELbNjPyMfMHAW7bEstkcV2X2NZXAXDqDxN64S5Cz/8Cu+ZgUuPqCPvwTqA1AdaVfJM/BoaFfXBL65LLLuBUHwBaN1tQrTlJdUqA9VLecQtJu/x7+Gde2e5rzphYzCfPHw3ACyv28+SSvV0VnoiIiIiIJIjrOm3LH70TFnVJIsIzeAoA8X3rEt52Rzg15Th1FWB68E44F0wLu3wTLY/9B9Ftryc1tvZwXfc9M8BGdWlfZmYB3lGnAxBZ81SX9GHXlLf2lVfaJe2LJFKHE2CO4/DrX/+auXPnMnnyZG688Ub27dv3gefHYjF+8YtfMHfuXKZMmcINN9zA1q1bOxW0fDTDMLAKh7T97Ebat3PmWVNKuG5h6ycRTy0tY+nGiq4IT0REREREEsTevwG3oRJ8aXhHntElfXgGTQEgXr4J1451SR/tYXh8eMcuwDvydAKnX0/61T/CM2QaGAae4tFJi6u93IYjrat0LA9W4dAu78835SIwjNbyODuWJrx9p6Z1BpiVNzDhbYskWocTYHfffTcPPfQQP/zhD3n44YcxDIObbrqJaPTkO4J873vf49FHH+UHP/gBjz32GDk5Odx00000NjZ2Onhpn9ielTT97VbiZWvbdf45Mwdy0elDALjvhW3sOvjhu0mKiIiIiEjyGBn5eIbNwjduAYbX3yV9mIVDMILZEAtjV2zvkj7aFUd2PwJzP01g/o1tPwfP/Srp1/wYM7s/AK4TJ/TP/ya+f13KlXWxq/cDYBUOw7C8Xd6fmd0P37RLAQgvuS+hS0Vd1z1uCaRIqutQAiwajXLvvfdy8803M3/+fMaMGcNdd93FkSNHWLx48QnnHzhwgEcffZQf//jHnHXWWQwfPpwf/ehH+Hw+Nm3alLAnIR/OrtwD0RbCr9+D01zbrmsumzuUaaMKidsuv318IzUN4S6OUkREREREToWVP5Dgoi/hm3lVl/VhGCaewZMBiO9r3wfr3cnMKmr7Prb1deL71hJ64VcpVx/MO2wW6Z/8Nf65n+m2Pn1TL2mtCxePEllyX8LadUP1uOFGMAzM3AEJa1ekq3g6cvK2bdtobm5mzpw5bceysrIYN24cq1at4sILLzzu/CVLlpCVlcW8efOOO/+VV17pXNCe3lO6zLLM4752hfTTrqbx0Fbso/uIvP4/ZFx8W7t2G/nCZeP5wZ9Xc6Cyid8+vpH/9+kZ+L1Wl8UpfUN3jHmRVKIxL32Jxrv0NX1tzPuGTiO27Q3sQ1uT8p4svPEliEfxjTodMz3nA8+zxpwBLTVE1v/zWH2w7+IffzaBmVdgBjO7L+APkpnT+qfbmFjnfJGWN+4j7YzrMTvxb/feMW/UtSYWzez+eAPBhEQq0pU6lAA7fPgwAMXFxccdLyoqoqLixFpRZWVlDBw4kBdffJE//elPHDlyhHHjxvGtb32L4cOHn1LApmmQm9v7tlfNyuraG0bGVf/OwXtuJV6+BXPHK+TMubRd191x02l841evU3a4kfte2M5tn5yh3T0kIbp6zIukGo156Us03qWvSdaYt8PNHPn7j8mcspCMCfMwzK79sNrJmEVG5rcJDpmI2UVLLT+I6zrsX/8cdsNRskoGkV5a8iFnp8PHbiR22seofvl+WravILLpZWI7l5Ez9xqyZ5zfLcsP38+142AYXf7vdFK56eRf962ENZeVFSRzwnSy+/8CJ9xMsBe+R5fep0MJsFAoBIDP5zvuuN/vp77+xDpRTU1N7N+/n7vvvpvbbruNrKwsfv/733P99dfz3HPPkZ+f3+GAHceloaGlw9elKssyycoK0tAQwradruvIzCF4xidoee1eal59gFjucDxFH1100WfAV66YyE8fWMOS9Yfol7OJS+cO67o4pdfrtjEvkiI05qUv0XiXvibZYz687nnCB7YSa2kiVjqzez6oLhhLtCkOxLu+r/eIV+zAbjgKviCRvFFEa9uzyVcm/oVfxhxzNqElD2BX76fmpT8TijoEJizq8pjfL7p7Jc2v3oN/9Bmkzf1Ut/f/DteOE1r+ML6Rp7frPeF7nTDmfYXgKyTcrn8Pka6RlRVs10zcDiXAAoEA0FoL7J3vASKRCMHgiZ96eL1eGhsbueuuu9pmfN11113Mnz+fJ554gn/5l3/pSPdt4vHe94LKtp0uf17myLl4ytYTL3ubpsV3k37F9zG8gY+8bkRJNjecO4r7XtjOY6/voX9eOtNHF3ZprNL7dceYF0klGvPSl2i8S1+TjDHvOg7hja11mD3jF2HbLtB9Bd/dWKTLCu6fTHjHMgA8g6dh44EO/H0b/UYTvPx7xHa8SXz7EqyRc9v+vdxwE0Ygo0tifr/owe0QDeHYblLvkZEVjxJd/0+ie9aQfsX3MPwdn72l+7z0RB1a/PvO0sfKysrjjldWVtK/f/8Tzu/fvz8ej+e45Y6BQICBAwdSXl5+KvFKJxiGQWDeZzHSc3HrjxDfs6rd186fUsLCaaUA/O8zWzhQ2dRVYYqIiIiIyEeI71+L23gU/Ol4R5zWbf26doyWZ35K031fxgk1dE+fjtP23sU7fNYptWGYJr4x8wle8p225Y9OYxVND/474Tfvw41HExbvB7EP7wTA6j+yy/v6ML4pF2JkFuA2VhF+/Z5T2inTteM0P3YHoVf+iBvThmnSM3QoATZmzBgyMjJYsWJF27GGhga2bNnCjBkzTjh/xowZxONxNm7c2HYsHA5z4MABBg8e3Imw5VQZgQwCC/6VwMIv4h09t0PXXrtoBGMH5xKJ2fz60Q00tHT9LwkRERERETlRbNNLAPjGnoXh8X3E2YljWF7cSAs4cez967ulT7tiG26oAfzprbsZdsJ7l4nGy9ZAPEJs66tEVj7a2TA/lBsN4VTvA8DqP6pL+/oohj+d4KIvg+khXraG2MZ/drgNp64Cp3of8X3rwNO99eBETlWHEmA+n48bbriBO++8k5dffplt27bx9a9/nf79+3POOedg2zZVVVWEw60Z4BkzZnD66afzzW9+k9WrV7Nr1y5uu+02LMvi0kvbV4RdEs8zYAze4bM7fJ1lmnzxsgkU5QSpbghz9xObiKu+h4iIiIhIt7KrD2Af2gqGiXfc2d3ev2fwFIDW5Ec3iO9unYDhHTodw+pQFZ8P5Zt4HoFFXwYgtvll7LpDCWv7/ezK3eC6GJkFmBl5XdZPe1mFQ/Gfdh0AkRWPtM1Oa6949YHWdvIHapM06TE6vP/pV7/6Va666iq++93vct1112FZFvfccw8+n4+KigrOPPNMnnvuubbzf/Ob3zBr1iy+8pWvcNVVV9HU1MT9999PXl7y/9MLxA9uIfTy73Gd9iWyMoJebr5qEgGfxY4DdTyweMcpTZkVEREREZFTE9t8rPbX0OmYGR3fWKyz2hJgBzfj2rEu7ct14sT2rm7td/ichLfvHTYTa9BkcG0iyx5KePvvsA/vAMDql9zlj+/lHXc2nuGzwbUJvXx3h5a02scSYGZeaVeFJ5JwHU6fW5bFrbfeyq233nrCY6WlpWzfvv24YxkZGXzve9/je9/73ikHKV3DjTQTevE3EAsRzSvFP/Xidl1XUpDOv14ynl8/uoHX1x2itDCDhdN14xMRERER6WquHSe+fwMA3gnnJCUGs2AwRloObksd9qFteAZO7NL+AnM/TXz/eqzi0V3T/pzraC7fhH1gA/EDG/AMnJTwPtrqf3XRczgVhmEQmPsZWo7uw6k/TOTN+wiee3O7rn03ATawK0MUSagOzwCT3sPwpxM44xMARFc/0Tott50mjyjgqrNaNzf420s72VJW0yUxioiIiIjIuwzLQ/rHf0Lg7H9N2mwiwzDxDJoMdP0ySMP04B02i+BZN2GYVpf0Yeb0xzt+EQCRZQ/hOvGEtu86cewjre+1kl0A//0MX5DAOV/BLBqGf9ZV7b7Ofs8SSJGeQgmwPs4z8oxj014dQi//ATcaave1588exGnj++G4Lr//xyaO1LZ0YaQiIiIiIgJgeAN4R5yW1NpLbcsg96/rFSVR/NMuwQhk4tQdSnxSz7BIv+oHBM66CTOnOLFtJ4CVV0rapf/R7tjslgbc5loAzNySrgxNJKGUAOvjDMMgcOanMDLyW7fBXfrXDl37mQvGMLQ4i+ZwnF8/uoFQJLGfloiIiIiISCu79mCH6jR1JatkHFhe3OYa3IbKLukjvm8dLc//kljZ213S/nsZ/nT8Z36S4Pn/hmfI9MS2bRiY2f3wjjoDw0jNt+DvJFNdxyGy7lmcYwmuk4lWtu5maWQWYviC3RKfSCKk5v8+6VaGP53A2V8AwyC+cymxXcvafa3XY3HzlRPJyfBRUd3CH5/ajOP0/E+ARERERERSTeTN+2h+8BttReGTyfD4CZ7/dTI++RvM7H5d0kds1zLsAxuwK3Z0Sfvv5x02C8+gKX16V8PIsgeJrnyE8Mu/x3Xsk57jySkiOOcafOMXdnN0Ip2jBJgA4Ok/Et/USwAIv3n/h2b83y8nw8/NV07C6zHZsLuax95ofy0xERERERH5aPbRstadBB0Xq2h4ssMBwFMyDiOQ0SVtu7EI8X1rAfAOn90lfXyY+KGtOHUVnW7HdV2aH7ud0Mu/T5nZex/GN2EReAPYh3cQXfXYSc/x5vQjMO0ifJPO7+boRDpHCTBp45t2CVbJOPyzrsJIy+nQtUOLs/jsBWMAeH75fpZtOtwFEYqIiIiI9E3RTYsB8AyfiZmem+RojufGo7jxaELbjO9fD/EoRmYhZuHQhLb9UaLrnyP0zE8Jv/VAp+ubOXUVONX7iZetxfClJSjCrmNm9ycw/3NA699DV29yINKdlACTNoZpEfzYrfjGLzylab9zxvfnwtMGA/B/z29j96H6RIcoIiIiItLnOKEG4rtWAOCbcE6SozleZOUjNN1/M/HdKxLa7jvteYfP7vYliZ4h08G0sMs3YR9Y36m27MOtyzetomEYlicR4XU577CZeI+Ns9Br/4PTWNX2mOs4VL/yFyLbl+Laqv8sPYsSYHKc9/5ysY/sIl6+qUPXXz5vGFNGFBC3HX77+EZqGyOJDlFEREREpE+JbX0NnDhm0bCUWf7YxvJCPJLQmUJuNET8WOLJM3xWwtptLzO7H94J5wIQXvYQrnPqiZ62BFj/kQmJrbv4Z38cs3AYRJoJvXQ3rh0DwKk/Qv2yf9Dy+v9Bihb0F/kgGrFyUvHDO2h5+ieEXvodTl37lzOahsFNF4+jpCCd+qYov3lsA9HYyYsnioiIiIjIh3PtOLEtrwCpN/sLwDN4CgDx8k0JWwYZL1sDdhwzpxgzb2BC2uwo/7SLMQKZuPWHiW1++ZTbsQ/vBMAqHp2o0LqFYXkILvoS+NNxqvYSWfF3AOzqAwBYeaUYptIJ0rNoxMpJWYVDMQuHQDRE6MX/xo2G2n1t0O/h5qsmkR7wUHa4kT8/v63Ta+dFRERERPqi+N7VuC11GGk5eIbOTHY4JzDzB2Ok50I8gl2xLSFtxvasBMCThOWP7zB8afhmXglA5O0nccKNHW7Daa7FbawCw0i9mXvtYGYWEFxwE0ZmId6RpwNgV+8HwMpPTmJSpDOUAJOTMiwvwXO+gpGei1NXQeiVP+C6TruvL8oJ8qXLJ2KZBsu3HOG55fu6MFoRERERkd7JSM/FKhmPd9yClKwhZRgGnkGTARK2DDIw70b8Z3yyLemSLN7R8zDzB0K0hejqJzp8/TvLH828QRi+YKLD6xaeQVNIv+ZHWMc2ImibAaYEmPRASoDJBzLTcgie+1WwvNj713f4pj92cC7XL2pd6/7Y63tYtlk7Q4qIiIiIdISneDRpF96Kb+rFyQ7lA7Utg9y3LiErP8y0bHzjF2JmFXW6rc4wTBP/adcDENu5DDfS3KHr2+p/FY9KeGzdybC8ALiuS6xsLQBWwaBkhiRySpQAkw9lFQ4lMO+zAETXPt02Hbm9Fkwr5ZwZrZ8O3PvsVjbtrU54jCIiIiIivZ2RwgXHrQHjwPLhNtfg1BzoVFuuk1r1gz0DxuI//ROkX/1fGP70Dl3rHbsA/5zr8A7r/kL+XSH86p/avreSVJtNpDNS9y4qKcM78nS8k84HIPza/+I0VHbo+o8vHMGssUXYjsvvnthE2eGGrghTRERERKTXcFrqaHn+FwmbVdWVDI8PT+l44N2i76fCCTXQ9JevEnrtfzq182Ki+Sacg5mR1+HrrLxSfJPO63E7QH4Q7+i5YFr4ioZgBjqWDBRJBam3iFxSkn/W1Ti1B7H6jcTILOzQtaZh8LkLx9HYEmPrvlp+9ff1fOeT0ynKTeuiaEVEREREerbYllexD2wkGg2TdmyJYSrzzboK/+nXY3bwvcJ7xfesgkgzTm0Fhpl6b1XdeJTY1teO1WPzJjucbucpGUfWdT8lt6iAhkiyoxHpOM0Ak3YxTIvgeV/HP+2SU9qJxesx+coVExlUlEFDS4xfPrye+ubEbJMsIiIiItKbuHaM2NZXAfBOOCfJ0bSPlVvSqeQXQHz3CgC8w1NvyaDrurQ88xMiyx4ktvmljzw/uvllwkvuxz6yqxui6z5WdhFWWmaywxA5JUqASbsZ5rvDxa4pJ7L26Q5dH/R7+Po1kynIDlBZF+JXj6wnFEmdqc0iIiIiIqkgvnslbqgBIz0Pz9BpyQ6nQ1zXwQ03dfg6p6mmbfmkJwVrZhmGgW/MWQBE3n4KJ/ThZV3iu1cQ2/IKdu3BbohORNpDCTDpMCfUQMuTPyS66jGi217v0LXZGX6+8fEpZAS97DvcyN3/2ETcdrooUhERERGRnsV1XaKbFgPgHXd2Si4F/CDxsrU0//XfCL9+T8ev3bMKcLH6jzqlelvdwTP6TMyCwRALEV31+Aee59ox7Ko9rdf079k7QIr0JkqASYeZwSx8ky8AILLk/g4Xuuyfl8a/XT0Zn9dk894a7n1uK06KF/YUEREREekO9pFdOEfLwPLiHTs/2eF0iJGRhxtqIH5wM268Y+VOYseWP3pScPnjOwzDxH/a9QDEtr+OXb3/pOc5VWVgxzECmRjZ/bsxQhH5MEqAySnxTb0Yz9AZ4NiEFv8Gp6mmQ9cPG5DFly6biGUaLN98hEdf291FkYqIiIiI9Byxd2Z/jTgNM9Czai2Z+YMw0vMgHsU+tLXd1zkNVThVe8Aw8Ayd2YURdp6neHTrEk3XJfLWgyfdoTN+eAcAVv9Rp1Q/WUS6hhJgckoMwyRw1r9g5pXihhoILf5Nhz/lmTQ8n89cMAaAF1bs58WVJ/8ERURERESkL3CjLcT3rwd6TvH79zIMA8+gyQDE961r93Xxg5sBsIrHYKZld0VoCeWffTVYHuyKbcTL1pzwuN2WABvZ3aGJyIdQAkxOmeENEDz3a+BPx6naS/jNP5/0E5APc8bEYq46azgAD72yi+VbDndFqCIiIiIiKc/wpZF+3c8JzP8cVv7AZIdzSjyDpwAQ37++3e8NfGPPIu3qH+GffU0XRpY4ZmYhvkmtJWHiO5Yc95jrOm07P1qq/yWSUpQAk04xswoJLvoyGCbxnW8R37Oyw21cMHsQi6aXAnDPM1vZXNax5ZQiIiIiIr2FGczCO3pussM4ZdaAseDx4TbX4HxAjayTXpc7AKtwaBdGlli+KRfin/dZAud85bjjTu0hiDSDx4dZMChJ0YnIySgBJp3mKRmH/7Tr8E44p7UuWAcZhsG1i0Yyc0wRtuPy28c3su9wYxdEKiIiIiKSmuy6Q7ixSLLD6DTD48NTMh5o3zJIp7kW1+15u8Ib3gC+MfMxTOv4474gvmmX9rgdPEX6AiXAJCF8E84hcPonTvgF0F6mYfAvF41jzKAcIlGbux5ZT2VdKMFRioiIiIikHjcWJrz4tzQ98HXiHSgen6qsY8sg7ao9H3qe67qEnv0ZzX+7FbuqrOsD6yJ27UGixzYvMDPy8c+4nMCca5MclYi8nxJgknBOYxWhl3+PG+1YAsvrMfnKFZMYWJRBQ3OUXz68jobmjhXWFxERERHpSdxwEy3P/rx16RwuVn7PXzbnHTqDtCu+T/C8f/vQ85yacpy6CtyWeszsou4JLsGcpmpaHr2dyFsPYh/dl+xwRORDKAEmCeW6LqEXf0189wrCr/1Ph6czpwU8fP2ayeRnBaisDfGrR9YTjsa7KFoRERERkeRxWupoefonOJW7wZ9O2sduxfCnJzusTjP86VgFgzEM40PPi+9eAYBn0CQMX1p3hJZwZkY+nmEzAZfw6/9LZOWjxMs3JTssETkJJcAkoQzDIDD3M2B6iJetIfr2kx1uIyfDzzc+PpmMoJeyw43c/cQm4nbPqwsgIiIiIvJBnIYqWp76EU5tOUZaDmkXfxuraFiyw0oo13Vxmms/8LHYOwmw4bO7M6yE88++GiwfTvUBouueIbLqsWSHJCInoQSYJJxVNJzAvM8AEF3zJLG9qzvcRnF+Ol+7ehI+r8mmvTX833Pb2r2NsoiIiIhIKrNrD9Ly1H/hNlRiZBaSdsl3sPJKkx1WQjkt9TQ//C2aH/ombvzEsiZO1V7cxirw+PAMmtL9ASaQmZGPb/IFbT9b/UYmMRoR+SBKgEmX8I46E++EcwEIv/o/2DUHOtzG8AHZfOmyCZiGwbLNh3n09d2JDlNEREREpNvFtryC21KHmVtC2iXfwczqmfWvPowRzAI7BnYU+9CWEx6P7VkJgGfQFAyvv7vDSzjf5I9hpOcB4CkZm+RoRORklACTLuOf83GsknEQjxD6569xwo0dbmPS8AI+c8EYAJ5fvp/FqzqeSBMRERERSSX+067HN+Ui0i7+NmZ6brLD6RKGYeA5thtkfN+64x5zXYf47mMJsBE9e/njOwyvn7QLbyUw/3NYPXxGm0hvpQSYdBnDtAgu/BJGZiFuYxXRt/9xSu2cOamYK+e31kP428s7Wb7lcAKjFBERERHpevEDG3Ba6oDW18n+WVdhBDKSG1QXe2dpY3z/+uPKmbhNNeA64A3iKZ2YpOgSz8wpxjt67kcW/xeR5PAkOwDp3YxABsHz/43Yxhfxz/74KbfzsTmDqWuM8vKacv7n6S3E4g5zJw1IYKQiIiIiIl0jtvMtwq/9L2bOANIu+Xav2OmxPawBY8Djx22uxaneh1UwBAAzs4D0T/wSt74Sw+NLbpAi0mdoBph0OSu3hMC8z7b9cjuVYvaGYXDdopHMm1yM68L/PbdNyyFFREREJOVFN79E+NU/getgFgwCbyDZIXUbw+PDUzoeOHEZpGGYmDn9kxCViPRVSoBJt3JCDYSe+Qnx/es6fK1pGnz6/DGcN2sg0Loc8skle7U7pIiIiIikHNd1iax5isjSvwLgHb+QwFn/gmFaSY6se7UtgzyWAHMaKnHqVdJERLqfEmDSrWKbFmNXbCf08h+wa8o7fL1hGFyzYASXzx0KwJNL9vLQy7twlAQTERERkRThui6RFQ8TXf04AL5pl+A//QYMo++9/bIGTQYMnMYq3GiI6LrnaH74W0TefjLZoYlIH9P37sCSVL7pl2IVj4FYmNA/f4UTauhwG4ZhcPEZQ7l+0UgAFq8+wJ+f24bjKAkmIiIiIsnlOg6RN/6P2IYXAPDPuQ7/jCv6bGF0My2btMtvJ+OT/w0eL7G9qwCw+o9McmQi0tcoASbdyjA9BM/5CkZWEW7jUcKLf4trx06prUUzBvK5C8diGLBkYwV/eHITsbiT4IhFRERERDrAjmLXHADDIDDvRnyTzkt2RElnFQ7FMD3Y5Vsg0owRzGr9UFxEpBspASbdzghkEDzv38AbxD68g/Cb959yHa8zJhbzpcsm4rEMVm+v4jePbSAStRMbsIiIiIhIOxneAMELvkHwvH/DO2ZessNJKdFNLwLgGToTw9RbURHpXrrrSFJYuQMILvoiGAbxHW+2TRE/FdNHF/K1qybj85ps2lvDL/6+jpbwqc0qExERERHpKCfSTHj5w20rG8xAJp5Bk5McVWppef6X2OWbAPCMmJ3kaESkL1ICTJLGM3AS/tOuByC2Y8kpL4UEGD80j1s+PpU0v4dd5fX87MG1NDRHExWqiIiIiMhJxZvqaPrHj4lteJ7IkvuTHU7qct5dpWH1G5HEQESkr1ICTJLKO34R/jM+Sdql/w/D8naqrRGl2dx2/VSy0rzsr2ziJw+soaYhnKBIRURERESOZzcepeIv38Wu3o8RzMI74dxkh5Sy/Kddj5FZiH/uZ/rkbpgikny680hSGYaBb/xCDF8a0LprjhttOeX2BvXL5Fs3TCcvy8/hmhZ+/Ne3OVJz6u2JiIiIiJyM67o0P3cXsZoKzMwC0i75f1j5A5MdVsqy8krIuO7n+MaelexQRKSPUgJMUoYbDRF68deEnr+rU8sh++el8e1PTKdfXhrVDRF+/MAaDlQ2JTBSEREREenr7ENbsasPYPgCZF7+XczsfskOSUREPoQSYJIy3JZ67MPbsY/sJPzmfae8MyRAfnaAb39iGoOKMmhojvLTB9aw62B9AqMVERERkb4stuUVADInzMfMyEtyNCIi8lGUAJOUYeb0J7joy2CYxHcsIbbh+U61l5Xu47brpzKiJJuWSJw7H1rL5rKaBEUrIiIiIn2V01JHvGwtAFnTz0tyNCIi0h5KgElK8ZROwH/adQBEVjxCfN/aTrWXFvDy7x+fwviheURjDv/9yHrW7KhKRKgiIiIi0lfFY3iGzcRTMg5f0eBkRyMiIu2gBJikHO/4RXjHLgBcQq/8EbvmQKfa8/ssvnrlJKaPLiRuu9z9xCbe2lSRmGBFREREpM8xswoJLvwCGZfcluxQRESknZQAk5RjGAb+Mz6BNWAsxMKEXvgVTqihU216PSZfuHQ8Z0zsj+O6/O8zW3n57fIERSwiIiIifZFh6O2UiEhPoTu2pCTD9BBc9GWMrH7guridTIABWKbJZz82lkUzSgF4YPEOnnmrrNPtioiIiEjfEX7rQaLbXseNR5IdioiIdIAn2QGIfBAjkEHaBV8HbwAzLSchbZqGwXULR5Lm9/DU0jIef2MP0bjD5XOHYhhGQvoQERERkd7JqT9CbNOLgIFnwDgIBJMdkoiItJNmgElKM7P7tyW/XNfFrtzT6TYNw+CyucO4esFwAJ55q4xHXt2N67qdbltEREREeq/o1lcBsAZOxMwqTHI0IiLSEUqASY/gOg7h1++l5R8/ILZnVULavGD2YK5fNBKAF1bu58HFO3GUBBMRERGRk3DjUeLblwDgG7cgydGIiEhHKQEmPYJhmhgeL+ASfuluIqsfx3WcTre7aMZAPnX+aAzg5TXl3P/CNiXBREREROQE8T2rcCNNGBn5WAMnJzscERHpICXApMfwn3493jFnAS7RNU8RevZnOC11nW73rCkl3HjhWAwD3lhfwT3PbMVOQHJNRERERHqP6JZXAPCOmY9h6m2UiEhPozu39BiG6SEw7zMEFnwePH7sim20PHY78YNbOt32GROL+ddLxmMaBss2H+aPT20hbisJJiIiIiJgH92HU7kbDAvvmHnJDkdERE6BEmDS43hHnk7aFXdg5pbihhoIPftzoltf63S7s8b240uXT8AyDVZvq+T3/9hELK4kmIiIiEhfF9v2BgCeodMTtju5iIh0LyXApEeycgaQdvl/4B09D7x+PMVjEtLutFGF3HzlRDyWydqdR/nN4xuIxuyEtC0iIiIiPZN/9jX4534G36Tzkx2KiIicIiXApMcyPH4C828k/aofYub0B1p3i7Sr9naq3UnDC/i3qyfh85ps2lPDfz+6gUhUSTARERGRvsrw+vGNPQuraFiyQxERkVOkBJj0eGZmQdv30TVP0vKP/ySy5qlO7RI5bkge37hmCn6fxdZ9tfzy7+sIReKJCFdEREREegjXdXHCjckOQ0REEkAJMOk1XNfFbakF1yW6+nFCz/8CJ9Rwyu2NGpjDLR+fQtDvYWd5PXc+tI7mcCyBEYuIiIhIKrMP76D5r18n/Mafkx2KiIh0khJg0msYhkFg3o0EzvoXsHzYBze37hJ5aNsptzm8JJvbrptKRtDL3ooGfv7gWhpbogmMWkRERERSVWzLq+DEAW2MJCLS0ykBJr2Od9SZpF1+B2buANyWOkLP/pTI2qdx3VN74TK4fya3XTeVrDQv+yub+NmDa6lvVhJMREREpDdzQg3E964CwDvu7CRHIyIinaUEmPRKVl4JaZfdgWfkGa1LIlc9RmTJ/afcXmlRBt/8xDRyMnwcPNrMTx9YQ21jJIERi4iIiEgqiW1/Axwbs3AYVsGQZIcjIiKdpASY9FqG109wwU0E5n8O/Ol4x57VqfaK89P51iemkZ/l53BNCz954G2O1ocSE6yIiIiIpAzXcVqXPwK+cQuSHI2IiCSCEmDS63lHzyXjujvbPrlzXZfYnlWntCSyKDeNb35iGoU5Aarqwvz0gTUcqW1JcMQiIiIikkx2+Qbcpmrwp+MZPjvZ4YiISAJ0OAHmOA6//vWvmTt3LpMnT+bGG29k3759H3j+E088wejRo0/482HXiCSa4Qu2fR/b/BLhl35H6IVf4YabOtxWQXaQb31iOv3z0qhuiPCTB9ZQUd2cyHBFREREJImix2Z/eUedieHxJTkaERFJhA4nwO6++24eeughfvjDH/Lwww9jGAY33XQT0ejJi4Jv376dWbNmsWTJkuP+lJaWdjp4kVNheANgebEPbKDluTtx4x2v5ZWb6eebn5hGSWE69U1RfvrAGg5UdjyZJiIiItIbua5LdPPLNP3tFiJvP4nr9JxdFF3HBtcBDC1/FBHpRTqUAItGo9x7773cfPPNzJ8/nzFjxnDXXXdx5MgRFi9efNJrduzYwZgxYygsLDzuj2VZCXkCIh3lHT2XtMtuxwhk4hwtI/zaPbiu2+F2stN93HbdVAb1y6ChJcZPHljD9v21XRCxiIiISM/h2nHCr/8vkaV/wW08SvTtJwg993Oclrpkh9YuhmmRdsG/k/6JX2Jm9092OCIikiCejpy8bds2mpubmTNnTtuxrKwsxo0bx6pVq7jwwgtPuGb79u2cd955nY/0PTye3lO6zLLM475K9/D0G4x5/s00PfVT4ntWEi8oJTjjsg63k5sV4NufnM5dD69nx4E6fvnwer50xQSmjy5KfNC9hMa89DUa89KXaLwLgGt5MGIhMAx8Y+cT3bEM+9BWWh67g/RzvoC3dHyyQ2yf7PyPPEVjXvoajXnpyQy3A1NfXnzxRW6++WbWr19PIBBoO/61r32NcDjMH//4x+POr6mp4bTTTuPiiy9m27Zt1NXVMXnyZG655RaGDh16SgG7rothGKd0rcj7Nax7iaPP/h6AoitvIWPMaafUTiRm8/O/rGbF5sOYBnzpqimcN2dwIkMVERERSWluPIbh8QLgRFqIHNlLcNB4okfLOfL4L4hV7QcMCs6/iazpif2APFFC+zbhhFtIGzkdw9SKFRGR3qRDM8BCoRAAPt/xhSD9fj/19fUnnL9jxw4ALMvipz/9KS0tLdx9991cf/31PP300xQUFHQ4YMdxaWjoPbvuWZZJVlaQhoYQtt1zaiP0GoNPwz9pN5ENL1L59O+IZA/HDKSfUlNfuHQcfo/JG+sP8dtH1nG4qpGLzxiihO37aMxLX6MxL32Jxnvf5LoukXXPEdn6BplX3o7pP/ZaKnMI4dpmsHJJv+w/aFnyV6I7lxHNGUptbWpuINT48oPEK7YTPO3jBKaeuLrl/TTmpa/RmJdUlJUVbNesxA4lwN6Z9RWNRo+bARaJRAgGgyecP2fOHFauXEl2dnbbsd/97ncsWLCAxx9/nM9//vMd6b5NPN77/qPZttMrn1dP4J31cezmerxj5uN4gjid+Hf49PmjyUzz8uyyfTz62m7qGiNcu2gkppJgJ9CYl75GY176Eo33vsONRQi/fg/xPSsBCG9dgm/COSeeaHjxz/0s3ikX4WYWEo87uK6DU1WGVTSsm6M+ObumnHjFdjBMzGFzOjSGNealr9GYl56oQwt3i4uLAaisrDzueGVlJf37n7xA5HuTXwBpaWmUlpZy5MiRjnQt0mUM0yK48It4SsZ1vi3D4Mr5w7lu4UgAXnq7nD89tZm4Ph0RERGRXsapP0LLP37QmvwyLPxn3IB3/KIPvcbMLGz7PrruWVr+8QMiqx5r3XkxyWJbXgXAM3gqZnpukqMREZFE61ACbMyYMWRkZLBixYq2Yw0NDWzZsoUZM2accP6DDz7I7NmzCYfDbceampooKytjxIgRnQhbpOvEdiwl/Ma9p7Qz5DvOmTmQz188Dss0WLm1kv9+ZD2hSDyBUYqIiIgkT3z/epqf+D5ObTlGMJvgxd/EN35Ru0s/uK6L21wLuETXPk3o2Z/hNCdvN203Fia2cykA3nFnJy0OERHpOh1KgPl8Pm644QbuvPNOXn75ZbZt28bXv/51+vfvzznnnINt21RVVbUlvBYsWIDrutx2223s3LmTjRs3cvPNN5OXl8fll1/eJU9IpDOchkrCr99DbNsbRNc/36m25ozvz9eunoTfa7G5rJaf/20tDS3RBEUqIiIi0v1c1yGy5klCL/wKoi2Y/UaQdsX38PQf1aF2DMMgcOanCJz9BfAGsCu20/LY7cTLN3VJ3B8ltms5xMIY2f2wSsYmJQYREelaHd679Ktf/SpXXXUV3/3ud7nuuuuwLIt77rkHn89HRUUFZ555Js899xzQumTyvvvuo7m5meuuu47PfOYzZGZmcv/99x9XQ0wkVZhZRfhPux6A6MpHiO9b26n2JgzN59brppIR9FJ2uJEf/3UNR+tCiQhVREREpPu5LvbBrYCLd+wC0i76ZqeWC3pHzCH98u9h5g/EDTcSeu4X3b4k0nVdYlteAcA3dgGG0eG3SCIi0gMYbmfWeSWBbTvU1KTmrjGnwuMxyc1Np7a2WUUEU4TrukSW3Eds62vgDZB26Xex8ko71WZFdTO/fHgd1Q0RsjN8/Ps1UygtykhMwD2Mxrz0NRrz0pdovPderuu2LW90Qg3Y5Zvwjjw9ce3Ho0SW/Y3Y1mN1uEacRvDsf01Y+x/GPrKLlid/CJaXjE/chRFo/2s0jXnpazTmJRXl5aW3axdIfbwh8j6GYeA/4was4jEQCxP6569wQg2darM4P53vfHIGJYXp1DdF+ckDa9hxoC4xAYuIiMiHcu0YbqT3fIDa3WJlbxN65ie48dZSDmYwK6HJLwDD4yMw99MEFn4Jw5+Bb8KHF9NPaN/Z/fDNugrfxPM6lPwSEZGeRQkwkZMwTA/Bc76CkVmI23iU8Eu/w7U7V8Q+N9PPtz4xjRGl2bRE4vzi4XWs3VmVoIhFRETkZFzXIfTcnTTd/xVCr/4PTkPlR18kALiOQ2TVY4Rf/A12xXaim17s8j69w2eRfv2dWEXDW2NwXWK7lnfpkkgzkIl/ykX4Z13VZX2IiEjyKQEm8gGMQAbB8/+trTCrnYCirOkBL7d8fApTRhQQizv89vGNvLn+UOeDFRERkZOK71mNXbEdXJf4zqWEl/412SH1CG6kmdA/7yK69mkAvBPOxTfp/G7p2/C+Wys4tvU1wq/8gdAzP8Vpqkl4Xz2sGoyIiHSCJ9kBiKQyK7eE4MIv4sajeAZPSUibPq/Fl6+YwH0vbGfJhgr+7/ltNLRE+dicwe3eOlxEREQ+muvEiax+DADPqLm4oTr80y9re9yuOYDhz+hUEffeyK4+QOjFX+M2VoHlIzDvMwlf8theRiCj9cPIwztoeex2vGPPwjNiTqfrs0Lr7MCWf/wAq98I/NMu1fJHEZFeTgkwkY/gGTT5uJ9dO45hde6/jmWafPaCMWSn+3h22T4ee30P9c1Rrl04ElNJMBERkYSIbV+CW38EI5BJ4PTrMXzBtsdc1yX8+r04NeV4x52Nb8qFmMGsJEabGuKHthF64ZcQj2JkFhA852asgsFJi8c7bCZW/iBCL9+Nc3Qf0XXPEF33DGZuKZ4Rs/GOPB0zI/+U2rYPbsGp2otTfxj/TC1/FBHp7bQEUqQD4vvX0fzwN3HqKjrdlmEYXDl/ONctHAnAS6vL+d+ntxC3tZuKiIhIZ7nxKNE1TwLgm3rRcckvACLNGKYH7Bixjf+k+W+3EFn5CG64KQnRpgbXdYgsexDiUayS8aRf/r2kJr/eYWb3I+3S/yCw8It4Bk8F04NTW0501WPYVWVt53W0TlhsyysAeEeegeH1JzJkERFJQZoBJtJOrusSXf88blM1Lf/8FemX3Y7hT+90u+fMHEhmmpd7nt3K8i1HaAzF+OKlE0gL6L+niIjIqXJqynFjEYyMfLxjF5zwuBHIIHjJd7DLNxFZ/ThO1V6i654luvllfBPPwzfpPAxfWhIiTx7DMAle8A2ibz+J/7TrMDy+ZIfUxrA8eIfPxjt8Nm6kmfjet4mVrcEzcGLbOaF//jfYMTzDZ+MdOuNDlzQ6TTXE960FwDvuxPEhIiK9j+H2sMqPtu1QU9N7trH2eExyc9OprW0mHtfMn1TnhBpoeeL7uE3VWCXjCV7wDQzTSkjbm/ZU87snNhGJ2eRm+vnsBWOYMOzUpvSnMo156Ws05qUvSbXx7kaacRoqsQqHfvh5rou9f11rIqz6AABGeh7p1/2sdZZYL+faMTA9PboWqRtppun+r4J7bBaYaWGVTsA7Yg6ewVOPK6wPEFn9BNE1T2IVjyHt4m+dcr+pNuZFuprGvKSivLx0LOujFzhqCaRIB5jBLILnfQ08fuyDm4ks+1vC2p4wLJ/brp9KUW6Q2sYIv/z7ev78/FZCkXjC+hAREelLDH/6Rya/oLUsgWfwVNKu+D6BRV/GzB2Ad+TpbckvNx7BjUe6OtykcB2H0OLfEX7tf3Dtnvuaw/Cnk37tT/DNugozbyA4Nvb+9YRf+SNNf/kqoZfuxmmoAlo3R4htex0A77izkxm2iIh0IyXARDrIyh9E4OzPAxDb/BLRLa8mrO2hxVl8/8ZZLJpRigG8sb6C/7hnBZv3Jn7bbxERkd7IaaknsvJR3EjHVwwYhol32EzSrvwhvmmXtB2PbvgnzX+7jeimxbjxaCLDTSrXdYksewB7/zrie1bi1B5MdkidYmYW4p9yEelX/YC0q/8L37RLMLL6QTxKfO/b4GudBRYvW4vbUocRzMIzZFqSoxYRke6iBJjIKfAOmY5v5pUARJb+lfihrQlr2++1uH7RKG67fiqFOQFqGiL84uF13PfCNs0GExER+QjRtU8TXfcMoZfuPuU2DNNsq3/lui7xvW/jhuqJvPUAzQ9/i9iuZYkKN6liG/9JbPPLgEFgwb+mRMH7RLFyS/DPuIL0j/+EtMvvwH/mJzEDma2P5ZWCx493zPxO7+wtIiI9hxJgIqfIN+UiPCPmgGtjH9yS8PZHD8rlP2+czcLppQC8vu4Qt9+zki1lmg0mIiJyMk5jFbGtrTOzfVMuTEibhmGQdtl/4D/z0xjpebjNNYRf+eNxuw/2RLE9q4gsfxgA/5xr8A6bmeSIuoZhGFiFQ/GNPavtmBuP4CmdgHfiuckLTEREup0SYCKnyDAMAvNuJLDoS/iPzQZLNL/P4hPnjOK266ZSkB2guiHMnQ+t4/5/btdsMBERkfeJrP4HODZWyXg8JeMS1q5hefCNW0D6x3+CZ8h0AKJrnkxY+93NPrKL8Kt/Aly8487GO/H8ZIfUrayCIQTPvbltRpiIiPQNSoCJdILh8eEdNqvtZ6fxaJfUBhkzOJf//Nwszp5WAsBraw9yx70r2bqvNuF9iYiI9ER2zUHiO98C6LIPpgyPD/+sq8AwiO9bi320rEv66UpOQyWhf/432DGsQZPxn/6JHr37o4iISHspASaSIHblblqe+D7h1/4X1038lsABn4cbzh3NrddOIT8rwNH6MD//21r++uJ2wlHNBhMRkb4tuvoxwMUzdAZW0bAu68fMKcYzfE5rn2ue7rJ+uoobbgTXxSwYQnDhlzBMK9khiYiIdAtVfRRJEDcexY22EN+zkmhmAf7Z13RJP2OH5PGfn5vFI6/t5rW1B3llzUE27K7mcxeOZfSg3C7pU0REJJXZR3YRL1sDhoFvxhVd3p9/2iUYvrSE1RnrTlbRcNIu+y54Axhef7LDERER6TaaASaSIJ4BYwnM/xwA0fXPEd38cpf1FfR7+NR5o/n3a6eQn+XnaH2Ynz64lgcW7yAStbusXxERkVQU27UcAO+oM7FyB3R5f2ZOMYEzP4mZkdflfSWC6zrED2xs+9nM7o+ZlpO8gERERJJACTCRBPKOPL3tk+fIW38lvm9tl/Y3fkge//m52cyf0vpi/+W3y7nj3pXsOFDXpf2KiIikEv/pnyBw7s34pl/W7X278ShOS12399sR0ZWPEnr+F0RWPprsUERERJJGCTCRBPNNvRjv6HnguoRe/j121d4u7S/o9/Dp88fwjY9PJi/LT2VdiJ8+sIYHX9pBJKbZYCIi0vsZhoF3yHTMjPxu7Tdevonmh24j8uZ93dpvR0S3vEJ0/XNA68w1ERGRvkoJMJEEMwwD/9xPYZVOgHiU0At34TRVd3m/E4bm8583zmbe5GJc4KXV5dxxz0qWbqwgbie+KL+IiEiyxQ9txa7cnbT+jYw83FD9sR0h9yUtjg8S37+eyNK/AOCbcTneUWckOSIREZHkUQJMpAsYpofgoi9j5g/EGjAOI5jVLf2mBTx85oKxfP2ayeRmts4Gu+fZrXzrj8tYvOqA6oOJiEiv4Tpxwm/+mZZ//KCtBlh3s3IG4Bk+G4DomieTEsMHsY+WEXrpbnBdPKPOxDf1kmSHJCIiklRKgIl0EcMXJO2ibxE4+/MYlrdb+544LJ8f/stsrj5rONnpPmoaIvzt5Z3ccvdS/vHmHhpbot0aj4iISKLFti/BrT+CEcjEM2hy0uLwTbsEMIiXrUmZWWBOUzWh5++CeASrZDyBeZ/BMIxkhyUiIpJUSoCJdCHDn45htP43c0INRNY8iet2z3LEoN/DBXMG87Mvnsanzh9NUW6Q5nCcp5aWcevv3+LBxTs4Wh/qllhEREQSyY1H22Zc+aZehOELJi0WK2cAnhGpMwvMdWxCL/wKN1SPmVtK8JwvY5ieZIclIiKSdPptKNINXDtO6Kkf4dQfhngM/6yruq1vr8firCklzJs0gLd3VPHc8n3sO9zIS2+X88qag8we148L5gyitDCj22ISERHpjNjml3GbazHS8/COXZDscPBNvYT4rhVts8CsgsFJi8UwLfwzriC84iGCF3wdw5eWtFhERERSiWaAiXQDw/Lgm3IhANF1zxDd+lq3x2CaBjPHFHH7p2fw79dOYezgXBzXZdnmw9x+z0r++5H17DhQ1+1xiYiIdIQbbSGy7hkA/DMux/D4khwRWLnvrQX2VJKjAc+QqaRf/V/dviumiIhIKtMMMJFu4h09F6fxKNE1TxJZcj9mem5SapYYhsH4IXmMH5LH3ooGnl++j7e3V7F+dzXrd1czojSbj80ZzKTh+ZiqFyIiIikmuv55iDRj5hTjGXl6ssNp45t2CXbVHqxBk5LSf2TtM5g5/fEOnQGgZY8iIiLvY7iu6yY7iI6wbYeamuZkh5EwHo9Jbm46tbXNxOPdUxtKksd1XcKv/y/xHUvB4yftkm9jFQxJdlgcrmnhhRX7eWtTBXG79ZZQUpDOBXMGMWtsPzxW4iaLasxLX6MxL32JGW3CV7ODaMEYHE/il9658ShND3wdIs0EzvlKW7InVbiu01b7szvFdi0j/MofAYO0q36AlVfa7TH0VbrHS1+jMS+pKC8vHasd71mVAEsy3UD6HteOE3rhl9gHt2AEs0m77D8wMwuSHRYAdU0RFq86wKtrDxKO2gDkZ/k5d9Yg5k0agN9ndboPjXnpazTmpa9wmqppefx7uOFGDF8a3knn45t4LoY3kNh+GqqI7ViCb/plKb2zYXclw+wju2h55idgx/FN/hj+2dd0eZ/yLt3jpa/RmJdUpARYD6EbSN/kRltoefJHOLXleIbNJLjoy8kO6Tgt4Rivrj3I4lUHaGiJAZAR9HLxGUNYMLWkUzPCNOalr9GYl77CdV0iL/2WePlm3FgYACOQiW/qxXjHnpUStbq6g9NUTWT1PyAeIbjoS13eV8sT38cNNeAZPJXAuTcnZQZaX6Z7vPQ1GvOSipQA6yF0A+m7nKZqIisfJXDmJ1N2h6ZozGbppsO8sGIfVXWtb2YKcwJcMW84M8cWnVKNMI156Ws05qU3ix/aimF5sfqNAMC0Q+QW5FC15g1aVjyO23AEACM9D//0y/CMnnvKs7bi5ZuwikdjWN6Exd8V7JqDtDz6XcAl7cofYOUP7JJ+3FiYlqf+C6f6AGbeQNIu/X8Jn20nH033eOlrNOYlFbU3AaaPiESSxMzIJ3j2v7Ylv1zHJtXy0T6vxYKpJfzo83P41HmjyU73UVUX5o9PbeYH961mS1lNskMUEZEkcONRwsv+RuiZnxJ65Y9tM75Mfzqmx4dv5GmkX/Nf+Od+BiM9F7e5htjuFaec/LJrygk99wua//5t3GhLIp9Kwll5JXiGzQQguubJLunDdR3Cr/4Jp/oARjCL4HlfU/JLRETkI2h7GJEU4MbChF66G6twCP4ZVyQ7nBNYpslZU0s4bXx/Xly1n+dX7Gff4UbufGgd44fmcfVZwxnULzPZYYqISDewj5a1Jl9qDwHgKRl/0vMM04Nv7Fl4R55ObMvLWMVj3m3j8E7caAhr4MR2JcWiqx4DXKz8wSk7a/q9fNMuJb5nFfG9q7FrDmDlJXYWmF2+iXjZGjA9BM/9asrUEhUREUllSoCJpID4gY3YBzZgH9iAmVGAd8y8ZId0Un6fxcVnDGX+1BKeWVrGq2sPsnlvDVv21jBnfD8unzuMgpxgssMUEZEu4Do20XXPEn37SXBtjGAWgfk34hk05UOvMzw+fJMueLcd1yW87EGcqr1Y/Ufhm3UVnv6jPvB6+8gu4vvWgmHgm3llop5Ol3pnFlh8z0qibz9J8JyvJLR9z8BJBOZ/DkyrbfmpiIiIfDgtgRRJAd5hM/FNvRiA8Jt/Jrb9zSRH9OGy0nxcf84o/uum2cwaW4QLLNt8hO/8z3IeenknTaFYskMUEZEEcuoO0/LUfxFd/Ti4Np6hM0i7+r8+Mvl1UnYMq3g0WB7swzsIPfUjWp7/JfbRfSec6roukZWPAuAZeSZW7oBOPpPu45t2CWC0zQJLBNd9t96Od/RcvCNPT0i7IiIifYESYCIpwjfjCjwjzwDXIfz6PYRe+1/ceCTZYX2ootw0vnDpBP7j0zMYOziXuO3y4qoDfPMPy3h2WRmRmJ3sEEVEJAHi+9bgVO4BX5DAgs8TWPRlzMCpLX03PD4Cc64l/eM/wzvmLDBM7AMbaHn8DkIv3Y1Td7jtXPvgZuyKbWB68M+4LDFPpptYeaV4hs0AILrmqU635zQepeXR/yB+aFun2xIREemLlAATSRGGYRA463P4ZlwBhkF8xxJanvgBdt2hZIf2kYYWZ3HLtVP4xjWTGViUQSgS57HX9/CdPy3njfWHsB3tECMi0tO49ruzeb0Tz8c76XzSr/oh3pGnn3Ix+/cyM/IIzPsM6df8GM+IOYBBfM9Kmp/4Pm4sgus6RFY+0tr/uLMxM/I73Wd38027FDBw4zFcJ37K7bixMKF//jdO7UEiKx4+biaYiIiItI/hptq2cx/Bth1qapqTHUbCaBtZOZn4oa2EX/4Dbqgea8BY0i76ZrJDajfHdVmx+QiPv7GH6obWXcEGFKRz5fxhTBlRgNdracxLn6L7vPREsV3LiSx/iOCFt3Vo2WFnxrtdfYDIqkex8gbin3UVsbK3Cb/4G/AGSL/2Z5jBrI4+jZTgNFRiZhWd8vWu6xBe/FviZWswglmkXX5Hj0wG9la6x0tfozEvqSgvLx3L+uj5XUqAJZluIPJBnJY6Ikv+gv+063rk7k6xuMOra8p5+q0ymsOtn3qPLM3m2kUjmTWxRGNe+gzd56UnccNNhJfcT3zPSqC1zlRg/ufafX0ixrvrOhiGiWvHiW17DRwH38RzT6mt3iCy8lGi654B00Paxd9S0fsUo3u89DUa85KKlADrIXQDkfZynTiRJX/BN/ljmNn9kh1Ou7WEYzy3fD+LVx8gdmyMnz6pmGvOGk5Wmi/J0Yl0Pd3npaeIH9hI+PV7cFvqwDDxTbsE39SLMMz2bxqu8X5yrusS37cWp2ov/g7sZBnbsZTwa/8DQGDB51X0PgVpzEtfozEvqai9CbD2v6IRkaSKrnmK2LbXie1eQWD+5/AOm5nskNolLeDlqrOGs3B6Kf94cw9LNlbw1oYK1myr5Mr5w1kwtQTT7HwtGREROTVuPEpk+UPEtrwCgJndn8CCz2MVDUtyZL2HU19B+MVfAwae4XOw8ko+8hr7yC7Cb/wfAL4pFyn5JSIi0kkqgi/SQ3jHLsDqPwpiYcIv/Y7wWw/g2qdeULe75Wb6+ezHxvLDm+YwenAu4ajNA4t38OO/vk15ZVOywxMR6ZNcO05o8W/akl/e8YtIu/L7Sn4lmJUzAM/QGYBLdM2T7bomtmcVOHE8Q6bhm3lF1wYoIiLSBygBJtJDmOm5BC/6Jr7JHwMgtmkxLU/9F05jVZIj65iBRRn89Ctz+dT5own4LHYfauD7f17FY6/vJhqzkx2eiEjfYpqYWf3A4yN4wTcInHEDhsef7Kh6pdYdISG+ZxV2zcGPPN8/51r88z5LYMHnMQy9ZBcREeks/TYV6UEM08I/+xqC5/0b+NNxqvbS/NgdxMvWJju0DrFMg0UzBvJfN81h6sgCbMfl2WX7uP3elWwtq0l2eCIiQGsx9pYXfkV062u4joNduZvohueTHVZCGYaJ//RPkH7lf+IZOCnZ4fRqVv7Aj5wF5roOTrgRAMMw8I2Zj+ENdGOUIiIivZcSYCI9kGfwFNKv+D5m0TCIthBZ9Qiu03OWQ74jN9PPzVdO4suXTyQnw0dlbYifP7SOe57dQlMoluzwRKSPi+9chr1/HZHlD+HUHqTl+V8SWf4wkRV/p4ftIXQc13WJvP0PnIZKoDXRYmb3T3JUfcNxs8BqT5wFFl31GC2P3YF9dF93hyYiItLrKQEm0kOZmQWkXfwdvJPOJ7Dwyx3apSvVTB9dyA//ZQ5nTyvBAJZuPMx3/rScZZsO9+g3mSLSc7mxMJGVjwDgm3oRVv5A/FMuAiC6/jkiS+7DdXre7leu6xJd+QjRt/9By9M/wY1Fkh1Sn2LlD8QzZDqts8CeOu6x2I6lRNc9i9tcg1N3KDkBioiI9GJKgIn0YIblITDn2rbdpFzXIfTKH4kf2JDkyDouLeDhhnNH8+1PTqekIJ2mUIz/eWYLv3x4HZV1oWSHJyJ9THTtM7gtdRiZhfgmnAuAb/IF+Od9FjCIbX2N8Ct/6FGbkQBE1z5NdP1zAPimXYLhVb2v7uabfmwW2IGNuJFmAOzDO9/d8XHqxXhHnJa0+ERERHorJcBEepHYtjeI71pG6PlfEln1GK7T84rKjyjJ5o7PzuSKecPwWCaby2q5/X9X8PzyfcTtnjfbQkR6HqehiujGFwDwn3YthsfX9phvzHwCC78IpkV8z0pCL/4aN94zZlFFN75IdPXjAPjnXIdv7FnJDaiPsvIHETj7X8m49mcY/nScxqOEXvz1sR0fp+ObcXmyQxQREemVeu6aKRE5gXfk6TjV+4lteYXo2qeJ79+Amd0PTAtME8+Q6XiHTAPArtxDbM9KDNMCwwTTA6YJhoVhmmB58Y1f2Na2XbkHs3AohmF0+fPwWCYXnT6EmWOKuO+FbWzbX8cjr+1m+ZYjfOaCMQwtzuryGESk74qseBjsOFbJODyDp53wuHf4LAxfgNCLv8U+sIHQc78geMG/p/Rsqti2N4gsexAA3/TL8E06L8kR9W3vzPByoyFC//wVbrgRM3+QdnwUERHpQkqAifQihsdH4MxPYfUfRfjNP+NU78OpfreQrplVBO8kwGoOENvwwgc35g0clwBref4XWP1GEDjjBszMwi57Du/VLy+NW6+bytKNh3n4lZ0cqGzih/evZuH0Ui6fO4ygX7cwkVPlum63JLR7mvihrcT3rgbDwH/a9R/4d+QZOInghbcQev4ujMwC8Hi7OdL2i+1e0ba8zjvp/LZC7JJ80XXP4tSUYwSzCJ73tZROooqIiPR0evco0gt5R8zB6jeC+IGN4MTBccC1sfqNbDvHyhuId9L5bY/h2OA4uG7rV95TVN+NR8F1sfevp/nQVnzTLsM36dxuKbxvGAZnTipm0vB8HnplJ8s3H+Gl1eWs2VHFDeeMZsrIgi6PQaQ3cV2HyJt/JrZzGUZGPlbBEKzCIZiFQ7HyB2H4gskOMbnsOEZ6Hp7BU7HySj/0VE//UaRffgdGVkHKztpxXZfY9jcBF+/Ys/DP/rgSnynCDTcR3foqWB6C530NMyM/2SGJiIj0aobbw7ZYs22HmprmZIeRMB6PSW5uOrW1zcTjqm8kqcuuPURkyX3YFdsBMHNLCcz9NFb/kR9x5fE6O+Y37anm/n9u52h9GIAxg3KYPrqIqSMLyMsKdLg9ka6Wivf58JL7iW155SSPGJg5xXjHzsc3se8ukXPjEXCcDicDnZY6wq/8kcCZn8bM6d9F0XWcG48S2/oq3gnndHmiLhXHeyqLV2zH8AawCgYnOxQ5RRrz0tdozEsqystLx7I++jWOEmBJphuI9CSu6xLfuZTIsodwI00AeMfMxz/raoxARrvaSMSYj0Rtnly6lxdXHsB5zy1scP9Mpo0sYOrIQkoK0zXLQVJCKtzn3XATTv1hrH4jWn+OhrAr9wAudtVenKoy7Kq9uM01APhmXI7/2DK5WNnbRFc9gVnYOlPMKhyKmTfwuMLwvUEiloSGFv+W+N7VrcvZLvj3pCY17Or9mFlFGN7u/WAgFca7SHfSmJe+RmNeUpESYD2EbiDSE7nhJiIrHj62rAZ8s67CP+Widl2byDFfWRfi7e2VrN15lN3l9bz3ZlaYE2DqyEKmjixgRGk2lpmay5Ok90v2fT62ZxWRpX8B1yXtmh9hBjI/8FynpR7naBlmVr+2GUyRlY8QXffs8ScaJmZeCVbBUKz+I/GOntuVT6FbhJf9DTfchH/WVZjpuafUhhNqIPTcL1prL3qDBC/4Op7+oxIc6Uezj+6j5ZmfYOaWkHb+1zH86d3Wd7LHu0h305iXvkZjXlJRexNgqgEmIh1mBDIIzP8cnlFnEtv4z+OWSrmxcLfNOCjKCXLB7MFcMHsw9c1R1u86ytodVWwuq6WqLsyLqw7w4qoDZAS9TB6ez5SRhUwYmoffZ3VLfCLJ5LTUE1n6l9aC7oCZOwA31AgfkgAz07IxB00+7ph34nlY/UZgH5sl5hwtww014FQfwKk+gF13qMcnwOzaQ8Q2vQSujXfkaaecADODWaRd/E1CL/wK+/AOQs/eSfDcr+AZOCnBEX8wu+4QoefuhGiodbljN9RqFBEREekJNAMsyZRBl97Eaaqm+bHb8Y1fhG/KhSddItUdYz4Stdm0t4a1O6tYv+sozeF422Nej8n4IXlMHVnA5BEFZKX3rmVcknq6+z7vui7xXcsIv/UARJrBMPFNuRDftEswrM7vVOi6Lm5zDfbRMpyqMoz0XHzjzgZaE0nxPavwTb6gxyyRdF2X0PO/wC7fhGfwVILnfa3zbcYjhBb/DvvABjAtAgv+Fe/wWQmI9sM5DVW0PP0j3OZazIIhpF10G4Yvrcv7fS+9rpG+RmNe+hqNeUlFmgEmIt0utmMpRJqJrnmS2O7lBM78NJ6Scd0eh99nMX10IdNHF2I7DrvK61mz4yhrd1ZxtD7Mul1HWbfrKAYwojS7balkv7zufaMokmhOcy3hN+/D3r8OADN/EIH5n0toLSrDMDAy8lt3rBsyve2467pElv4F+9BWYjuWEDj9E3gGT0lYv13FPrAeu3wTmBb+OdcmpE3D4yd47lcJv/on4ntWEn759xiWF8+QqQlp/2Sc5lpanv1Za/IrdwDBj/17tye/RERERFKZEmAikjC+qRdj5vQn8taDuPVHCD37MzwjTsM/51rMtOykxGSZJqMH5TJ6UC7XLhzBwapm1uysYu3Oo+w73MjO8np2ltfz91d3MbhfJvMmFzN7XD/SAp2fKSPS3eyKba3JL9PCN+1SfFM+htGNS+C8Yxfg1FXgNlYR+uevsAZNIXD69ZhZRd0WQ0e4dpzwsocA8E08DzO7X8LaNiwPgbO/QMSXhl29D2vAmIS1/X5OqIHQsz/DbazCyCoieOFtH1rrTURERKQv0hLIJNMUUumN3GgLkVWPEdv8CuCCLw3/7GvwjpmH1+tJmTFf0xBm7c6jrNtZxbb9ddhO6+3Q6zGZMbqIeZOLGTUwR7tJSqd09X3ejba0zfRxXZfoqkfxjDgdK68k4X21L54QkTVPEdv4Irg2WB58Uy7CN/ljKbcsMrrhBSLLH8IIZpH+8Z9i+IIJ78N1XYiF29p27RiYnoTeV0Iv/oZ42dsY6XmkXfIdzMyChLXdUXpdI32Nxrz0NRrzkoq0C2QPoRuI9GZ21V7Cb/4Z5+g+ANIu/S7+klEpOeabQjGWbTrMGxsOcbDq3XtMv9wgZ04q5oyJxeRk+JMYofRUXXWfd12H2NbXiKx4JGm7DX4Yu/ZQ25JIACOrH+lX/SBlkmBOqIHmh74JsRCB+Z/rlkL+rh0j9MKvcBqrMLOKMPwZGP50jEB661d/BlbpeMy0nNbzYxGwrI+cxec01RB+9Y8E5n62bffOZNHrGulrNOalr9GYl1SkGmAiknRW4VDSLrud2OaXceoPY/UbAYATi2BXH4Ds5MxQOZmMoJdzZg5k0YxS9lY08sb6Q6zYeoQjtSEee30PT7yxl0nD85k7uZhJw/OxzI++wYp0FaehkvDr92JXbAMgtu31lEuAWbkDCF54G/E9q4gs/xue0gkpk/wCwLHxlIzFaarBM+qMbunSPrQN++AWwMVuqDzpOcGLvtmWAIu89Vdi298Eb6AtQfZusiwds3AovjHzMTPyCF70Lc1WFREREfkQmgGWZMqgS1/j8Zh4D66h8slfYeYPxjvqDDwj5mAGs5Id2gnC0TirtlXy5oYKdpXXtx3PzvBxxoRi5k4qVuF8+UiJvM+7jkNs82IiKx8DOwoeH/5ZV+MdvxDDSN2krBsLg+u2LQOM7XwLp6EyJZZFutFQlyx9/CBOQyVO7UHcSDNuuBk30tT6/bE/gdNvaJvFFXrx18TL1nxgW56hMwie85XuCr1d9LpG+hqNeelrNOYlFWkJZA+hG4j0NR6PCZufp/bNv4Njtx40LDyDJuEZdQaeQVMwrNSbnFpR3cyb6ytYuqmCxpZY2/HRA3OYN3kA00cX4vNaHW7XdhzqGqNUN4Sprg+3fn3P99GYw/mzB3H2tBLN7uihTvU+78YiGN53l91GVj9O/MAmnKo9AFgDxhKY99mULTD/QdxoiOaHbsMNN2JkFnb7bpGu64Jrd+vmAKfKdRyItrybJHtfwszMKcY7fHaywzyOXtdIX6MxL32NxrykIiXAegjdQKSveWfMV1ccJrx9GbEdS3Gq9rY9bvgz8E29CN+k85MY5QeL2w7rdx3lzQ0VbNxTzTt30KDfw5xx/Zg3eQCD+7+7+1okar+b1HpPYqvm2NfaxihOO27D8yYP4IZzR+Fpx429r3KjIYBunc3THh90n3cjzdg15bhN1ThNNce+VuM21eA0V4Ntk3HjH9sSn01//TfcljrwBvDPuRbvmPk9Minqui7xvauILPsbbnMtANagyQRO/0S3JPNie1YSXfU4/tM/gWfgxC7vr6/R6xrpazTmpa/RmJdUpBpgIpLSzEAmvvGL8I1fhF17kPiOpcR2vtX6Bt98dyaV03gULE9bTZxk81gm00cXMX10ETUNYZZurODNDRUcrQ/z6tqDvLr2ICWF6XhMk+qGME2h2Ee2aZkGeVl+8rMCrX+y3/26t6KBx1/fwxvrD3G4upkvXTGRrLQUqqOUQqLrniW64Xms0gl4h83CM2Rq2+6IyeI0VBI5tJnqSC0tRw9j9h+Fb/wiAOIV2wi/+JsPvd6NNGEEWhOqvonnAuAZPgczI69rA+9ChmG0/vsMnER0zVNEN/4Te/96mg9uxjf5QnxTLuyyZZFuPEpk+cO4TdXYlbuVABMRERHpQzQDLMmUQZe+5sPGvOvY2Ac3YxUOwwhkABB+/R5iO5ZglU5srRc2eGrSawa9n+O6bNtXyxvrD7FmRxVx+/jbasBnHZfUKsgKkPeeRFd2hg/zQ2bybNh9lD8+tZlQxCY/K8BXr5rEwKKMrn5aPY4bDdH8yHfaZhVhelqTYcNntY6bbpgZ5jo29pFdxPetw96/Hqfu0HGPe4bNIrjoSwDYR/cReuluzIw8jIz8d7+mv+dnb6DLY042u+4QkaUPYB/cDIBVOoG0j93SJX1F1jxFdPXjGOl5pH/8xxge7eyaaHpdI32Nxrz0NRrzkoq0BLKH0A1E+pqOjHnXdQm98EvsAxvfPegL4h02G+/oMzGLhqfcErCmUIxNe6vxey3yswIUZAdIC3g73e6ho838+rENVNaG8Hst/uWicUwfXdiua53mWuJ7V+PUH8EzdAZW8eiU+3s7FU5TDeEl9xE445OYmQUA2DUHie9ZSXzPquOTT5YHz+CpBBZ+qUufe/j1e1p37XuHYeEpHkX6wBFEPVmQOxDPgDFd1n9P1boscjWRZX/DP/NKvMd2ZXRCDRjeQEKS3k5TDc1//xbEowQWfjHlamf1FnpdI32Nxrz0NRrzkoq6LAHmOA6//e1veeSRR2hoaGD69OnccccdDB48+COvffrpp7nlllt4+eWXKS0t7Ui3bZQAE+nZTmXMO/WHie1YSmzHUtzmmrbjRnY/gou+gpU/EDhWA8rrT+nd8DqjKRTjD09uYktZ6wyny+cO5aLTh5w0oeO01BHfs5r43lXYFTuAd2/1ZuFQAvNubPt764niBzYQfuVPuJGmD5wx9G4ybCVOXQXWoCmknf9vQOuuhPF9a1s3XejgzDDXdXHqK7D3rSe+fx3eUWfiHT0XgNiuZYSX/hXPwEl4Bk/BUzoBb3qm7vPt5MYjYHowji2DDr3yB+yDW/BOPB/fuAWdmsUXeuWPxHctw+o/iuDF3+4VSeBUpNc10tdozEtfozEvqajLaoDdfffdPPTQQ/z4xz+mX79+/PznP+emm27imWeewef74E9oDx48yPe///2OdicigpndH//MK/HNuBz70DZiO5YS37sKt/4IvOdNbPj1e4jv34CZ3e/Yn/6YOf1bv2b3b1tW2VNlBL18/ZrJPPTyLl5+u5wn3tzLgapmPnfhWPzv2YHSdeI0//3bcKwoPIDZbwRmVr/WZFD1AYxg1nvOdzDMnpE0dB2b6Nv/ILr2aQDMgsEEzvzUSc+18kqw8i7HN/0ynNqD7+46CsT3rSP8yh9bZ4YNnIxn2Ew8g6d84JJD145jV2wnvn8d8f3rcRsq2x4zfGltCTDP0JlkDJvdY/4+U817lyS68Sh25R7cUAPRlX8nuv5ZfBPOxTdhEYY/vUPt2od3Et+1DDDwn3a9kl8iIiIifVCHEmDRaJR7772XW2+9lfnz5wNw1113MXfuXBYvXsyFF1540uscx+HWW29l/PjxLF++vPNRi0ifZBgmnpJxeErG4Z5xA/F9a4/bNc5pqAQ7ilNzAKfmwAnXe8cvJHDGJ1vPbarGrtxzLDlW1GNqAVmmySfOGUVpYTp/fXEH27fv47mjKzm74AiZ538FM5CJYXrwDJqM03gU79CZeIbNwMzIB8CZ83GcI7sx07IBcGMRmh/9Lp6h0/FNOKftvFTktNQRfvn32BXbAfCOOxv/nGs/cnmcYRhYeSfOOjay++PWHyZe9jbxsrfB8rbO3Bo+C8+gyW3JsMi6Z4iufQZi4XcvNj1YA8bgGTQFz6DJ77ZpaW+ZRDE8PtKv+RHxXcuJrH0Gt/4w0befILrheXzjF+GdeC7mexK5H8R1HcLLHgTAO3ouVuGQLo5cRERERFJRh16pb9u2jebmZubMmdN2LCsri3HjxrFq1aoPTID94Q9/IBaL8ZWvfCUhCTCPp/d8sv7ONL32TNcT6Q0SNuY96XjHnnncoayrv4/TeBSn7jB2XQV23eFj3x/Gba7Bk1XQdv+IHNpC+LV72q41MvLw9BuBd+AEPAMnYB2rKZWKnJYGzgzsZMLwt/Ac3YXpuFAJh9cvZdAZHwMgY9G/ti0jO05mDmROb/sxsms1bmMVsQ0vENu0GN/w2finnI8nxZIEsfIttCy+GzfUAN4A6WfdiG/knI++8AN4xpxOYPRp2NUHiO1eSXTXCpz6I23JMM+AsWRe9m0A7EA60VgYI5iNd/BkvEOm4C0d3+7leLrPd4YP77h5BMacSWz3SkJvP4VTU0503TNENy0m+5O/xAxmfmgLruPiHzmHcEs9aaddjdmLXkOkIo136Ws05qWv0ZiXnqxDCbDDhw8DUFxcfNzxoqIiKioqTnrNhg0buPfee3n00Uc5cuTIKYb5LtM0yM3t2NKHniArq+t3JxNJJV025vOzgGEnHHaiYXAdTH8aAE252dglo4hVH8IJN+E21RBrWkls90oA/MXDGfDZn6bUUqmGdS/RtHkJ4X2bwXXwARhQYfRjRXMpG960uaGomkWzBrW7TXfOubQUFFC/4inC+zYT3fkW0Z1vERgykZzZlxAcPjUl/g4ql6zEDTXgKxpE0RW34ssfkJiG88bCyLG47qeIHimjeetbNG19i6xxs8k59rvGnn4WsWFj8Q8Y3qn6crrPd1L+QtyZC2jZsZq6pY9iZRWQP6A/0Lo0Nt5YjTe76OTXLrgKd95lmqHXjTTepa/RmJe+RmNeeqIOvRIMhVrryby/1pff76e+vv6E81taWrjlllu45ZZbGDJkSEISYI7j0tDQ0ul2UoVlmWRlBWloCGHbKiIovV/Sx3zLsU00iqeQdukUAJxwI3bNIeIHtxI7sBH7yG4cfxZ1da33GifUQPMLv8EzcALegROwCod2eY0nJ9yEU38EM6uwbZlX4/o3iZdvAsAqGoZv+Ey8w2cRDOSy+MnNVG+v4r8fXsv2smo+vnAEVntjLBhL8MKxeCv3El7/PLFdKwmXbeRw2Ua8w2eScd7NXfU0P5Trum3JN8/s6wj4sghMu4hm00dzbRdshuIvwphyGRmTL8VxbGrb+rAgbQChutCHXv5Bkj7me5ui8QQvGwexcNu/UXTXCpoX/x7fqNMJTLsYK7f1gzo3GnrfTL1IEgLuWzTepa/RmJe+RmNeUlFWVjDxRfADgdZ6KNFotO17gEgkQjB4Ygb4hz/8IUOGDOHaa6/tSDcfqTfuNmHbTq98XiIfJKXGvCcdo2gk3qKReKdeghttwQ2/u7NNbN8m4hXbiVdsJ7zyMfCn4ykZh1U6AU/JeMxTXC7pui7OkV04DZU4DUdw6o99baiESOsb+8CCz+MdeToA3nELMQeMwztsJmZWYWsbtN7Iv3jZBJ5aspenlpbxwor9lFc28YVLx5MW8LY/oLzBBBZ8Ad/Mq4lufJHYttexBk5u+3twmqrB48MMfPiSs0SIV2wnsvwhgud/vTUBaHjxTrsMG6Bbxo2Z8H5Sasz3Bqa/7d8oenAbuA7R7UuIbl+KZ9hMvCNPI/TKn/CNX4hvxuUnXxIsXUbjXfoajXnpazTmpSfqUALsnaWPlZWVDBr07hKbyspKxowZc8L5jz32GD6fj6lTpwJg2607cF100UVccskl/Od//ucpBy4i0lUMXxqGL63tZ6t4NP4zP41dvon4oS0QaSa+ZxXxPauIAGZuKWlX/ucJs8Jc18UN1ePUH8FtqMSpP4LTUkfwrH9p7ccwCL34a9xw48njSMvBtWNtP3uGTMXD1JOeaxoGl80dRklhBvc8s4VNe2v44f1v89WrJtE/L+2k13wQMyOfwGnX4Z9+KVjvzviNLH+Y+L51eEefiXf8QsycAQlfHum6DtH1zxFd9XhrQmP1EwTmfjqhfUjvEzjjk3hHnkF07dPE960lvmcl8T2ty5nto2XQiaWrIiIiItI7dCgBNmbMGDIyMlixYkVbAqyhoYEtW7Zwww03nHD+iy++eNzP69ev59Zbb+VPf/oTw4cP70TYIiLdx0zPxTduAYxbgOvYOFV7iZdvwi7fjF25GyOQ0Zb8cmMRQs/diRsL4zQcgXj0hPbcOddiBDIAsPqPwo22YGb1a92N8thXM7MIw9vxnSlnjimiKCfIrx/bwOGaFn5w32q+eNl4Jgzt+O6O700Cuk4cp7EK7CixLa8Q2/IKeAOYuSVYeaWYeaV4Bk0+blfOjnLDTYRe/RP2gQ0AeEachn/Ox0+5PelbrKJhBM/7Gnb1fqJrnyG+ZxVYFv7TrkuJOnYiIiIiklwdSoD5fD5uuOEG7rzzTvLy8igpKeHnP/85/fv355xzzsG2bWpqasjMzCQQCDB48ODjrn+niP6AAQPIz+/4mzERkWQzTAur3wisfiNg+mWtyyVDDW2P2xXbsY/sfM8FBkZGAWZ2P8ysIsysfvCeN+PBcxNfX2tw/0xu/8xMfvf4RnYdrOeuv6/n42eP5JwZpaecCDBMD2mX3Y5dsY3ohhewyzdBLIxTuRuncnfrOcHstgRYbOdb2FVlmHklWHkDMXMHYHgDH9i+fWQXoZfuxm2uAcuD/4xP4h09T4kL6TArfxDBRV9qTdg6DmZ2v2SHJCIiIiIpoMPbIX31q18lHo/z3e9+l3A4zMyZM7nnnnvw+XyUl5ezcOFCfvzjH3PFFVd0RbwiIinl/cslzYJBBBZ8HsOf0TqjK6MgKTvPZaf7uPW6qfzln9tZsrGCh17eyYHKRi6YPZji/LRTSiwZhoFnwFg8A8bi2vHWJZ01B3BqD+LUlGMVvLs0Pl62hvje1cdfn1nYOlsstwRrwBg8pRNwXZfYxheJrPg7uDZGVj+Ci76EVTD4/d2LdIiZWZjsEEREREQkhRiu67rJDqIjbNuhpqYLdv9KEo/HJDc3ndraZhURlD5BY757ua7L4lUHePjVXbxzt8/O8DF2cC5jB+cybnAe+dkfPDPrVMX2vo1dsb0tOeaGjt8p2DNqLsGzPofruoT++d/Y+9fhGTaTwLwb37drX8+nMS99ica79DUa89LXaMxLKsrLS0/8LpAiItKzGIbBubMGUVqUwbPL9rHrYD31TVGWbz7C8s1HACjKCTJ2SGtCbMzgXLLSfB/R6kfzDp2Od+j0tp+dUMOxZNix2WIlY9viCy64idje1VryKCIiIiIiXUYJMBGRPmDckDzGDckjFrfZdbCBrftq2FpWy96KRirrQlSuC/H6ukMAlBZmMG5IazJs9MAcgv7O/6owg1mYwSwYMPaExwx/Or4x8zvdh4iIiIiIyAdRAkxEpA/xeqy25Y/Mg1AkzvYDdWwtq2XrvlrKq5ra/ry46gCmYTB0QCZjB+cxdnAuI0qy8HqsZD8NERERERGRDlECTESkDwv6PUwZUcCUEQUANDRH2ba/NRm2tayWyroQuw82sPtgA8+8VYbXYzKyNJvRA3MYWJRJSWE6+dkBTC1dFBERERGRFKYEmIiItMlK9zFrbD9mje0HwNH6UGsy7FhCrL45ypayWraU1bZd4/dZlBSkU1KQTmlhBiWFrV+z0jtfS0xERERERCQRlAATEZEPVJAdZO6kIHMnDcB1XSqqW9i6r5bdh+o5WNVMRXUzkajNnkMN7DnUcNy1mWneE5JiAwrSE1JTTEREREREpCP0LkRERNrFMAwGFKQzoCCdhdNLAbAdhyM1IQ4ebaa8sqn1a1UTVbUhGltibNtfx7b9dce1k58VoLQwnZJjibHhA7Ioyk1LwjMSEREREZG+QgkwERE5ZZZptiXFZo4pajseidkcOtrMwarWhNg7ibH6pijVDWGqG8Ks313ddv6YQTmcNbWEaaMK8VhmMp6KiIiIiIj0YkqAiYhIwvm9FkOLsxhanHXc8aZQjINVTZRXNbfNGtt9qL5tplhWuo+5k4qZP2UABdnBJEUvIiIiIiK9jRJgIiLSbTKCXkYPymX0oNy2Y9X1YV5ff4g31x+ivjnKs8v28dzyfUwals+CaSVMGJqPaWqXSREREREROXVKgImISFLlZwe4Yt4wLjljCOt2HuXVtQfZuq+W9burWb+7moLsAPOnDGDupAHaWVJERERERE6JEmAiIpISPJbJjDFFzBhTREV1M6+vO8TSjRUcrQ/z2Ot7+Mebe5k+upAFU0sYNTAHw9CsMBERERERaR8lwEREJOUU56dz7cKRXDFvGCu3VvLq2oPsrWhg5dZKVm6tZEBBOmdNGcDpE4pJC+hXmYiIiIiIfDi9axARkZTl81qcOamYMycVs+9wI6+uPcjyLYc5dLSZB1/ayaOv72bOuH4smFrK4P6ZyQ5XRERERERSlBJgIiLSIwzun8lnLhjDNQtGsGzzYV5de5BDR5t5Y30Fb6yvYGhxJmdPK2X2uH54LDPZ4YqIiIiISApRAkxERHqUtICHhdNLOXtaCTsO1PHaukOs3lbJ3opG7nl2K0+8uYdzZw5i3uRiAj79mhMRERERESXARESkhzIMg9GDchk9KJfrFo7kzQ2HeGl1OTUNER56eSdPL93LwumlLJxeSmaado8UEREREenLlAATEZEeLyvdx4WnDeHcmQNZuukwLyzfT2VdiKeWlvHCyv3MmzSAc2cNpCA7mOxQRUREREQkCZQAExGRXsPrsThrSgnzJg3g7R1VPLdsH/uONPLS2+W8uvYgs8b244I5gygtzEh2qCIiIiIi0o2UABMRkV7HNA1mjilixuhCtuyr5bll+9i6r5Zlmw+zbPNhJg/P52OnDWZkaU6yQxURERERkW6gBJiIiPRahmEwfkge44fksbeigeeX7+Pt7VWs313N+t3VjCjN5mNzBjNpeD6mYSQ7XBERERER6SJKgImISJ8wtDiLL10+kcM1LbywYj9vbapgV3k9v350AyWF6VwwexCzxvbDY5nJDlVERERERBJMr/JFRKRP6Z+XxmcuGMNPv3A6588eRMBncbCqmf99Zivf/uMyFq8+QCRqJztMERERERFJIM0AExGRPik30881C0Zw0WmDeXXtQRavOkB1Q4S/vbSTp5eWcebEYqaMLGBESTamqeWRIiIiIiI9mRJgIiLSp6UFvFx42hDOmTGQpZsO88KKfVTVhXlh5X5eWLmfjKCXySPymTKikAlD8/D7rGSHLCIiIiIiHaQEmIiICODzWiyYWsK8ycWs21nN2zsq2bCrmqZQjKUbD7N042E8lsm4IblMGVnAlBEF5GT4kx22iIiIiIi0gxJgIiIi72GZJtNHFzJ9dCFx22FXeT1rdx5l7c4qjtaH2bC7mg27q7mf7QwtzmLKyAKmjiigpDAdQztJioiIiIikJCXAREREPoDHMhkzOJcxg3O5duEIDh1tZu3Oo6zbdZQ9hxrYW9H654k39lCQHWhLho0cmKPdJEVEREREUogSYCIiIu1gGAYlhRmUFGZw0elDqGuKsH7XUdbtPMqWfbUcrQ/z0upyXlpdTprfw6Th+a1LJUcWkpvs4EVERERE+jglwERERE5BToaf+VNKmD+lhEjUZnNZDet2HmX97qM0tsRYvuUIy7ccwTINhgzIojgvjQH56ZQWplNSmEFOhk9LJkVEREREuokSYCIiIp3k91lMG1XItFGFOI7L7kP1rDu2VLKiuoXd5fXsLq8/7pr0gIeSgnRKijIoLUg/NrssnfSAN0nPQkRERESk91ICTEREJIFM02BkaQ4jS3O4esEIahrD1DTH2Lanmv2VTRysauJITYjmcJwd5fXseF9iLDfTT0lhOqUFrQmx0sIMivPT8HmtJD0jEREREZGeTwkwERGRLlSUm8boYemMKc0mHncAiMVtKqpbOFjVTHlVEwePtn6taYhQ29j6Z9OemrY2DKO1nZKCdNIDHnweC5/XxOsx8XstvB4Tn7f12DuPvXuOhd9j4vVa+DwmPq+JZapAv4iIiIj0LUqAiYiIdDOvx2JQv0wG9cs87nhLOM6hY8mwd5Jj5VVNNIfjHKlp4UhNS0L6t0yDjKCXC08bzMLppapFJiIiIiK9nhJgIiIiKSIt4GFEaTYjSrPbjrmuS31zlINVzRyqbiYctYnFbaIxh2jcIRqz277G3vfzccePzT4DsJ3WNh98aSdbymq58cKxZARVe0xEREREei8lwERERFKYYRjkZPjJyfAzfmjeKbfjum5bIiwas3l7RxWPvLqLdbuOcse9K/nXS8YzamBO4gIXEREREUkhKgIiIiLSBxiGgc9rkRH0kpcV4JwZA/l/n5xBv9wgtY0RfvrgGp5euhfHcZMdqoiIiIhIwikBJiIi0kcN7p/J7Z+ZyWnj++O68MSbe7nzobXUNkaSHZqIiIiISEIpASYiItKHBf0ebrp4HJ+7cCx+r8W2/XV87/9WsmF3dbJDExERERFJGCXAREREhDMmFnP7Z2YwsCiDxpYYv3pkPX9/ZRdx2/noi0VEREREUpwSYCIiIgJAcX463/3UdM6eVgLACyv38+O/rqGyLpTkyEREREREOkcJMBEREWnj9VjccO5ovnz5RNL8HvZWNPD9/1vJyq1Hkh2aiIiIiMgpUwJMRERETjB9dCHfu3EmI0qyCUVs/vDkZv78/DYiMTvZoYmIiIiIdJgSYCIiInJSBdlBvvmJqVx42mAM4I31h/jhfas5WNWU7NBERERERDpECTARERH5QJZpcuX84Xzj2ilkpfs4eLSZH9y3mjfWH8J13WSHJyIiIiLSLkqAiYiIyEcaPySP7984i/FD84jGHf78/Db++NRmWsLxU27TcV1awnGO1oXYd7iRrWU17Cyvw3a086SIiIiIJJYn2QGIiIhIz5Cd7uPr10zmhRX7efz1PazcWsneigY+d+E4cjL9tIRjNIfjtITjNIdj7/saf8/jrcdaInFONoksPeBhysgCpo0qZPyQPHxeq/ufrIiIiIj0KkqAiYiISLuZhsHH5gxm1MAc/vjkZqrqwvzkgTWdatNjmaQHPKQFPDS2xGgKxVi68TBLNx7G77WYOCyPaaMLmTSsgLSAXrqIiIiISMfpVaSIiIh02IiSbL5/40zu/+d2Vm2rxOsxSfN7SA94SQu8+/W937cmubzHfU0PePB63p3hZTsOOw/Us2ZHFW/vqKK2McLq7VWs3l6FZRqMG5LHtFEFTB1ZSFa6L4l/AyIiIiLSkxhuD6tga9sONTXNyQ4jYTwek9zcdGprm4nHVfNEej+Neelr+sKYdxwX0zQS3q7rupQdbmTNjirW7Kiiorql7THDgJEl2UwbXcS0UQUUZAcT3r90XF8Y7yLvpTEvfY3GvKSivLx0LOujS9xrBpiIiIh0SlckvwAMw2BocRZDi7O4cv5wDh1tbpsZtu9wIzvK69lRXs9DL+9kcL9Mpo0qYNroIgbkp2EYXROTiIiIiPRMSoCJiIhIjzCgIJ0BBelcdPoQquvDrNlZxZrtVewor2PfkUb2HWnkiTf30i8vjemjChk7JJe8TD+5mX4CPr3kEREREenL9GpQREREepz87ADnzBjIOTMG0tASZd3Oo6zZUcWWshqO1LTw3PJ9PLd8X9v5AZ9FbqafnAw/ORk+co59n5vhJyez9Wt2hg9PO6bPi4iIiEjPowSYiIiI9GhZaT7mTR7AvMkDCEXibNxTzZodVRyobKKuKUIoYhOO2lRUtxxXR+xkMtO8bUmxd5JluZl+SosyGFacpaWVIiIiIj2UEmAiIiLSawT9HmaN7cessf3ajoWjceqaotQ2RqhrilDXGKH22Nf3Hrcdl8aWGI0tMfZXNp3Qdl6Wnxmji5gxuohhJVmYSoaJiIiI9BhKgImIiEivFvB56J/noX9e2gee47guTaHYsaTY8YmxmoYIO8rrqGmI8OKqA7y46gC5mX6mjy5kxugiRpRmKxkmIiIikuKUABMREZE+zzQMstJ8ZKX5GNQv84THozGbTXtrWL29knU7j1LbGOGl1eW8tLqcnAwf00cXMWN0ISNLc7psV0wREREROXVKgImIiIh8BJ/XYtqoQqaNKiQWP5YM21bFul1V1DVFefntcl5+u5zsdB/TRhcyc3QRowYqGSYiIiKSKpQAExEREekAr8di6shCpo4sJBZ32FJWw+ptlazdeZT65iivrjnIq2sOkpXmZdroImaOLmTUoBwsUztMioiIiCSLEmAiIiIip8jrMZk8ooDJIwqI2w5bymqPJcOqaGiJ8drag7y29iCZaV6mjSpkxpgiRg/MwWMpGSYiIiLSnZQAExEREUkAj2UyaXg+k4bnE7dHs21fLau2VbJmRxWNLTFeX3eI19cdwusxGVSUwZD+WQwpzmRocRb989NUSF9ERESkCykBJiIiIpJgHstkwrB8JgzL55PnjWb7/rq2ZFhTKMbuQw3sPtTQdn7AZzGkfyZDirMYWpzF0P6Z5GcHMJQUExEREUkIJcBEREREupDHMhk/NI/xQ/P49PmjqawNsbeigb0Vjew93MD+w42Eozbb9texbX9d23UZQW9rMqz43cRYdroveU9EREREpAdTAkxERESkmxiGQb+8NPrlpTFnfH8AbMfh0NEW9lY0UHa4kb0VDZRXNtEUirFxTzUb91S3XZ+b6T8uKTasOIugXy/nRERERD6KXjGJiIiIJJFlmgwsymBgUQbzJrcei8VtDlQ2tybFKhrYe7iRiqPN1DZGqG2sYs2OKgAMoKQwgxGl2YwoyWJEaQ6FWjopIiIicgIlwERERERSjNdjMWxAFsMGZLUdC0Xi7D/S2Lp0sqKBvRUNHK0PU17VRHlVE6+tPQhAVrqPESXZbX8G98/E69GukyIiItK3dTgB5jgOv/3tb3nkkUdoaGhg+vTp3HHHHQwePPik52/atImf//znbNiwAb/fz7nnnsstt9xCVlbWSc8XERERkRMF/R5GD8pl9KDctmN1TRF2H6xn17E/+w430tAcZc2Od2eJeSyDIf2zGFGSzfCSbEaUZquWmIiIiPQ5huu6bkcu+O1vf8uDDz7Ij3/8Y/r168fPf/5zDhw4wDPPPIPPd/yLqcrKSi688ELOP/98Pve5z1FTU8Ptt9/OwIED+f3vf39KAdu2Q01N8yldm4o8HpPc3HRqa5uJx51khyPS5TTmpa/RmJfuFIvblB1ubE2IlbcmxRpbYiecV5gTYERJzrGlk9mUFKRjmp1fNqnxLn2Nxrz0NRrzkory8tKxrI+e7d6hGWDRaJR7772XW2+9lfnz5wNw1113MXfuXBYvXsyFF1543PkHDx5k7ty53HHHHXg8HoYMGcLVV1/NXXfd1ZFuRURERKQdvB6LkaU5jCzNgdngui6VdSF2lde3zRQ7WNVMVV2YqrrDLNt8GICg32LqyELmTipm1MAc1RATERGRXqdDCbBt27bR3NzMnDlz2o5lZWUxbtw4Vq1adUICbOrUqUydOrXt5127dvHEE09wxhlndC7oXlTH4p0sZXuylSK9gca89DUa85JsJYUZlBRmMH9qCQDN4Ri7Dzawq7yOnccSY6GIzVubDvPWpsP0yw0yb8oAzphYTF5WoEN9abxLX6MxL32Nxrz0ZB1KgB0+3PopYXFx8XHHi4qKqKio+NBrzzvvPMrKyigpKeHuu+/uYJjvMk2D3Nz0U74+VWVlBZMdgki30piXvkZjXlJFLlBanMP8GYMAsB2X7ftqeGnlfpasP8iR2hCPvLqbx17bzbQx/Thn1iBmjuvfoUL6Gu/S12jMS1+jMS89UYcSYKFQCOCEWl9+v5/6+voPvfbOO+8kHA5z55138qlPfYonn3yS9PSOJ7Icx6WhoaXD16UqyzLJygrS0BDCtrWGWno/jXnpazTmpScozgnwyXNHcfVZw1i5pZI31h9ix4E6Vm89wuqtR8hM83LGxGLmTRlAaWHGB7aj8S59jca89DUa85KKsrKCia8BFgi0ToOPRqNt3wNEIhGCwQ/PAE+cOBGA3/zmN8yfP5/Fixdz2WWXdaT7Nr2x2J5tO73yeYl8EI156Ws05qUn8Jgmp0/oz+kT+lNR3cySjRW8tfEw9c1RXlixnxdW7GfYgCzOnFTM7LH9CPpP/lJS4136Go156Ws05qUn6lAC7J2lj5WVlQwaNKjteGVlJWPGjDnh/N27d1NeXt5WMB9al0tmZ2dz5MiRU41ZRERERLpYcX46V581givmDWPj7hre3HCIDbur2XOogT2HGnjopZ3MGFOkwvkiIiLSI3QoATZmzBgyMjJYsWJFWwKsoaGBLVu2cMMNN5xw/ptvvsmvfvUrlixZQkZG63T5/fv3U1tby/DhwxMQvoiIiIh0Jcs0mTKygCkjC6hvjrJs02He3HCIiuqWtsL5RblB5k4qZu7kAb2yVquIiIj0fIbrum5HLrjrrrt46KGH+NGPfkRJSQk///nPKS8v5+mnn8ayLGpqasjMzCQQCFBbW8sll1zChAkT+MY3vkF9fT0//OEP8Xq9PPTQQ1iW1eGAbduhpqa5w9elKo/HJDc3ndraZk0hlT5BY176Go156Y1c12X3oQbeXH+IldsqiURtAAwDpo0uYtzgXEaVZjOgIF0zw6RX0z1e+hqNeUlFeXnp7aoB1uEEmG3b/PKXv+Txxx8nHA4zc+ZMbr/9dkpLSykvL2fhwoX8+Mc/5oorrgBg7969/OQnP+Htt9/GsiwWLlzIt771LbKysk7piSkBJtKzacxLX6MxL71dOBpn1bZKlmyoYGf58ZsiZaZ5GT0ol7GDchg9KJfi/DQlxKRX0T1e+hqNeUlFXZYASzYlwER6No156Ws05qUvqaoPsamsjjXbjrDzQB3R9435rHQfYwblMGZQLqMH5dA/Twkx6dl0j5e+RmNeUlF7E2AdqgEmIiIiIvJBivPTGTeiiHOmlxCOxNlzqIFt+2vZvr+OXQfraWiOsnJrJSu3VgKQneFj7LFk2JjBuRTlBJUQExERkS6hBJiIiIiIJJzHMhk1MIdRA3PgDIjF7WMJsTq2769l18EG6puiLN9yhOVbWncHz830M+bYcskxg3MpzA4oISYiIiIJoQSYiIiIiHQ5r8di9KBcRg/KBYYSjdnsPtTA9v21bNtXy+5DDdQ2Rli2+QjLNrcmxApzAlx42hDOnFiMaSoRJiIiIqdOCTARERER6XY+r8XYwbmMHZwLcyESs9l9sJ5t++vYtr+WvYcaqKoL8+fnt/HS6gNcs2AEE4blJztsERER6aGUABMRERGRpPN7LcYNyWPckDwAIlGb19Yd5OmlZZRXNfPLv69n/NA8rlkwgoFFGUmOVkRERHqajy6TLyIiIiLSzfw+i/NmDeInXziNc2cOxDINNu+t4Xv3ruTe57ZS2xhJdogiIiLSgygBJiIiIiIpKyPo5dqFI/mvm2Yzc0wRLrBkQwXf/uMynnhjD6FIPNkhioiISA+gBJiIiIiIpLyi3DS+eNkEvvPJ6YwoySYad3j6rTK+/aflvLbuILbjJDtEERERSWFKgImIiIhIjzGiJJtv3zCNL102gaKcIA3N0f/f3p2HR1ke6h+/Z8lk3/edQAJhJ5hAkEVAUE9xqdbaQwXrbmvVao9arIr211O1BfRQrRtyjvVwcAVtRWrVYgWRfYcQQiAEErJvk32Zmd8fgdEUUAIJk8x8P9c11yTvvDPzzHg7MDfP+7x64+MDmr90s3blV8rhcLh6iAAAoA9iEXwAAAD0KwaDQZnpURqTFqHPdxTrr18WqKSqSYvf262hyaG6YVqqkmMCXT1MAADQhzADDAAAAP2S2WTUzMxE/f6nE3TF+CSZTQbtL6zR/3t9i15blaNqa4urhwgAAPoIZoABAACgX/Pz8dIN01I1PSNeK9Ye1qacMn21t1Rbcst1WVaivpedLF/v7/5rb4fNrqbWDjW3dKiptUNNJ66bnT+3q6mlQ2aTUZEhvooM8VFkiK8ign3lZebflQEA6MsowAAAAOAWIkJ8ddfVwzUzM1HvrDmovKI6fbShUGt3HdeU0XFyONRZZv1LoXWy9GrrOLeF9A2SwoK8FRniq6hQ3xPXfooM8VFUiK/8fLx69oUCAIBuowADAACAWxkYF6Rf3ThWOw9W6p1/HlJZdZM+2lB41vf39TbJ19ssv5MXHy/n774+ZrV32FRe06yK2maV1zarrd2uKmurqqytyj1ae8rj+fuYv1GMnbgO6bwOCfSW0WDowVcPAABOhwIMAAAAbsdgMChjcKRGDgrXl7tLdPi4VT7eJmeh1Xlt/rro8jnxu8Uso/HsCymHwyFrY5sqaltUXtvUpRirqGmWtaldjS0dKiipV0FJ/Sn3N5uMCg/2UWSwjyJCfJ3XEcE+igj2UYCvlwwUZAAAnDcKMAAAALgts8moqRnxmpoR3yuPbzAYFBzgreAAb6UmBJ9ye3Nrhypqm1VR2/KNYqxJ5bXNqqprVYfNrrLqJpVVN5328X0sphNlmK8iQnwUGXyiHDtRkp3N2mbfxma3q6PDoXabXe0ddnXY7LLZHYoI9pHZxLpmAAD3QQEGAAAA9BJfb7OSogOVFB14ym0dNrtq6ltVWdusiroWVdY1q7KuRZW1Laqoa1ZdQ5ta2mwqqmhUUUXjaR8/wNfLOVvMbDaqo8OuDptD7R02tdsczlKr40TB1W6zq8N57ZDd4Tjt4/r7mJUxOFKZQ6I0bEAoZRgAoN+jAAMAAABc4OuzSfpq6Glub2u3qcracqIUO1GSnbiuqmtRQ3O783Kk9NTDK7vLaDDIy2yUQw41tnToy90l+nJ3ify8zcoYHKHMIVEanhJGGQYA6JcowAAAAIA+yOJlUmy4v2LD/U97e3Nrh7Mcq6xrkd3hkJfZKLPJKC+T0fmz2WyQl8kos7nr9m9ee5mMzrXP7HaH8o7VasuBcm07UCFrY5vW7ynV+j2l8vU2KyPt6zLMy0wZBgDoHyjAAAAAgH7I19usxKgAJUYF9OjjGo0GpSeHKj05VDfOGKyDRbXamluhrXnlqmto01d7S/XV3lL5eps0JrWzDBsxMExeZlOPjgMAgJ5EAQYAAADgtIxGg4YkhWpIUqhmz0xTflGdtuaWa1tehWrqW7VhX5k27CuTj6WzDLtoSJRGDgyTxYsyDADQt1CAAQAAAPhORoNBgxNDNDgxRP8+I02Hi63akluurQfKVVPfqo05ZdqYUyZvi0mjB4Urc0iURg4KlzdlGACgD6AAAwAAANAtRoNBqQnBSk0I1o8uTVXB8c4ybNuBclVZW7V5f7k27y+Xt5dJMzITNGtCsnwsfPUAALgOfwoBAAAAOGdGg0GD4oM1KD5YP5qeqoKSem09MTOssq5FH20o1Po9JbphWqrGD4uWwWBw9ZABAB6IAgwAAABAjzAYDBoYF6SBcUH64bRB2nmwUm+tOaiK2ha9+mGOPt9RrBtnDlZSdKCrhwoA8DCctxgAAABAjzMYDMoYHKn/vH28rpsyUBYvow4W1ek3r2/RG38/oIbmdlcPEQDgQSjAAAAAAPQaL7NJV148QE/dka1xQ6PkcEj/3FGsR17ZoDXbi2Sz2109RACAB6AAAwAAANDrwoJ89NNrRuhXP85QQmSAGls6tOyTPP3mf7bqwNEaVw8PAODmKMAAAAAAXDBDkkL1xC2ZmnPZYPn7mFVU0aDfL9+hl/+yV9XWFlcPDwDgplgEHwAAAMAFZTIaNX1sgsYNjdbKtYf1xY5ibd5frp35lZo1YYCuGJcoL7PJ1cMEALgRCjAAAAAALhHg66WbLh+iS0bHaflneTpYVKf31x7Wul3HNfvSNI1Ji5DBYDiv52jvsKu8pkml1ScuVU1qbOlQbLifEqIClBAZoNhwP5lNHBwDAO6MAgwAAACASyXHBGrejWO1aX+Z3lmTr8q6Fj2/co9GpIRp9ow0xYb7f+v9HQ6H6hrbVFr1jaKrukklVY2qrGuRw3HqfXbmf/2zyWjoLMQiA06UYv5KiAxQaKD3eRdwAIC+gQIMAAAAgMsZDAZlD4vRmNQIfbShUH/ffFR7C6o1f+lmzchM0NUTU2QyGlRW03xiJldjl7KrudV2xsf2sZgUG+6nmLDOi5+Pl45XNqqookFFFQ1qbrWpqKJRRRWNUk6Z835+3uavC7ETs8XiI/zl683XKADobwwOx+n+PaTvstnsqq5udPUweozZbFRoqL9qahrV0cEpoOH+yDw8DZmHJyHv6EllNU1667OD2nWoSpJkMRvV3mHXmb68GAxSRLCPYsL8u5RdMeF+Cva3nHEml8PhULW1VccqGlRc0aBj5Q0qrmhUSVWT7Gf4qhQR7KPEqAAlRgcqIz1aKdH+stv61dcq4JzwOY++KCzMX6azOIydAszF+ACBpyHz8DRkHp6EvKM37D5UqTc/O6iymmZJnbOyYr5RcJ0su6JC/eRl7rl1vNo77CqpOjlLrFFF5Z2zxWob2k7ZNyk6QNdMStGY1PNfswzoy/icR190tgUYc3cBAAAA9FmjBkVo2IAwHa9sVEiAtwL9vC5IyeRlNiopOlBJ0YFdtjc0t6uovOHEjLFGbckt19GyBj2/Yo9SYgP1/ckDNSIljCIMAPoYZoC5GA06PA2Zh6ch8/Ak5B2exmw2ymTx0psf79cnW46qrb0z96kJwbp28kANTQ518QiBnsXnPPqis50Bxrl+AQAAAOAcBflbdMP0VP3hpxfrsqxEeZmNyi+q04I3d+gPy7frYFGtq4cIABAFGAAAAACctyB/i/790jQ9c9cETR8bL5PRoNyjtXp62XY9+85OFZRYXT1EAPBorAEGAAAAAD0kNNBbcy4bon8bn6wPvzqiL3eXaO/hau09XK0x67fqLgAAJBBJREFUqRH6/uSUU9YVAwD0PgowAAAAAOhh4cE+uvnf0vW97CT9df0RbdhXqp35ldqZX6nMIZG6ZvJAxUf4u3qYAOAxKMAAAAAAoJdEhfrp9iuHadaEZP3lywJt3l+urQcqtO1AhcYPj9Y1E1MUHebn6mECgNujAAMAAACAXhYb7q+fXjNCV05o0AdfFmh7XoU27ivT5pxyXTwiRldPHKCIEF9XDxMA3BYFGAAAAABcIAlRAbrnupEqLK3X++sOa/ehKn25p0Qb9pVq7OBIJUUHKD4iQPGR/goP9pHRYHD1kAHALVCAAQAAAMAFlhwTqPt/OFr5xXX6YN1h5Ryp0Zbccm3JLXfu4+1lUmy4n+Ij/Z2lWHyEv0IDvWWgGAOAbqEAAwAAAAAXSY0P1oP/nqH8ojrlHq3R8cpGFVU0qrS6Ua3tNh0prdeR0vou9/H1NikuorMMi48IUNyJYizY30IxBgBnQAEGAAAAAC6WmhCs1IRg5+82u13lNc0qrmjsLMUqO6/LqpvU3GrToWKrDhVbuzyGv4+5sxSLDFBsuJ9iwv0UE+ansCAOpQQACjAAAAAA6GNMRqNiw/0VG+7fZXuHza7S6iYdr2xUcUWjiis7L+U1TWps6VBeUZ3yiuq63MdiNio6rLMMiwn7uhiLCfOTrzdfCQF4Bj7tAAAAAKCfMJuMSogMUEJkgDT06+3tHTaVVDV1FmIVjSqpalRpdZPKa5rV1mHXsfIGHStvOOXxQgIsJ0oxf2cpFhvup/AgHxmNzBoD4D4owAAAAACgn/Mym5QUHaik6MAu2212uyrrWlRS1aTSqiaVVn99sTa2qbah85J7tLbL/cwmo6LDfBUT5qeoEF9FhPgqMthHESG+Cg/ykZfZeAFfXd/X1NKhtbuOq7S6SSMHhmvUoHDeI6CPoQADAAAAADdlMhoVHeqn6FA/KbXrbU0t7SqpPrUYK6tuUofN3nmIZUXjaR83JMDydSkW7KuIkM7ryGAfhQZ5y2Q8t/Knpa1DdY1tqmtoU11jm2obWmU98XttY6usJ7Y3t3Vo5MBwTc+IV3pyqMsW/6+sa9ZnW4v0xa7jam2zSZLW7jouP2+zMtMjlT0sRoOTQliDDegDDA6Hw+HqQXSHzWZXdfXpP4T7I7PZqNBQf9XUNKqjw+7q4QC9jszD05B5eBLyDk/jrpm32x2qtLY4i7GK2mZV1jar0tqiytoWtbbbvvX+JqNBoYHeigzxVXiwT5eZYy1tNtU1tHaWXI1t//Jz23c+9unEhPlpWka8Jo6MkZ+P17m+7G4pKLHq75uPamtuhewnvlLHR/hrSFKIdhysVE19q3Pf0EBvjR8Wrexh0UqMCujXZ+p018yjfwsL85fJ9N2lOwWYi/EBAk9D5uFpyDw8CXmHp/HEzDscDtU3t6uytkWVdc2qqG1WVV2LKupaVFnbrCprizps5/cV0+JlVIi/t4IDLAr2tyj4mz8HdP5udzj05e4SfbWv1DnzyuJlVPawaE3LSFByTOB3PEv32R0O7c6v0sebjyrvWK1z+7ABobp8XJJGpITJYDDI7nAo72itNuaUamtuhZpaO5z7xkf4K3t4tMYPi1ZEsG+Pj7G3eWLm0fdRgPUTfIDA05B5eBoyD09C3uFpyPyp7A6HautbVVnXWZBV1rao4sR1dX2LfC1mBZ0os0ICvBXk//XPwf4WBflbunVmyubWDm3cV6o124tVXPn198RBcUGaNjZeWelR8jKbzus1tbXb9NXeUn2y5ZhKq5skdc5yGzc0WpePSzxl3bVvau+wa/ehKm3MKdWu/Cp12L7OSVpCsLKHxygrPUoBvhdm5tr5IvPoiyjA+gk+QOBpyDw8DZmHJyHv8DRkvu9wOBw6WFSnNduLtO1AhWz2zq+5Ab5emjwqVpdkxCsqpHszrqyNbVqzvUhrtherobldkuTrbdbUjDjNuChRoYHe3Xq8ppZ2bTtQoQ37SnXgaK1OfhE3GQ0aOTBc2cOjNTo1Qt5e51fY9SYyj76IAqyf4AMEnobMw9OQeXgS8g5PQ+b7prqGVq3dXaIvdhar2tq5FpdB0oiB4Zo2Nl6jBobLaDzzOlwlVY36ZMsxrd9T6pyxFR7ko8uyEjVpVGy3ZqidSU19qzbllGnjvlIdLW9wbve2mHTR4EhlD4/W0OTQcz6ZQG8h8+iLKMD6CT5A4GnIPDwNmYcnIe/wNGS+b7PZ7dqdX6XPdxRrb0G1c3t4kI+mZsRp8qg4BflbJHXOIMs7Vqu/bz6mnfmVzn1TYgN1+bgkXTQkstfKqOLKRm3cV6pNOWWqrGtxbg8L8taPpqcpc0hkn1k4n8yjL6IA6yf4AIGnIfPwNGQenoS8w9OQ+f6jrLpJ/9xZrC93l6ixpXNRerPJoMz0KA1OCNEXu46rsLReUudssTFpEbp8XJLSEoIvWPnkcDiUX1ynjfvKtCW33HnY5fCUMM2ZOVjRYX4XZBzfhsyjL6IA6yf4AIGnIfPwNGQenoS8w9OQ+f6nrd2mzfvL9fmOYhWUWLvc5mU2auLIWF2WlagYF5dNbe02rd5YqNUbC9Vhc8hsMujfxidr1oRkWVy4RhiZR19EAdZP8AECT0Pm4WnIPDwJeYenIfP9W0GJVZ9vL9ax8gZlDI7QtIx4BfpZXD2sLsqqm/R/n+Y5D+GMCPbRjTMHa3RqhEvGQ+bRF51tAXb+q/cBAAAAANDPpMQGKWVWkKuH8a2iw/z0wA2jte1Ahd78x0FV1rVo8Xu7lZEWodkz0hQR3L0zWwKejAIMAAAAAIA+ymDoXKtsxMAw/XX9EX265Zh2HKzUvoJqXTVxgC4flyTzWcx+ATwdBRgAAAAAAH2cj8WsG6al6uIRMVr29wPKK6rTii8O66u9pZpz2RANTQ7tlee1Oxw6VtagPYerlHesVokxQbpiXKICfb165fncgbWpTZ9uOaYjpfX68Yw0xYb7u3pIEGuAuRzHUMPTkHl4GjIPT0Le4WnIPFzF4XBow75SvbMmX9amzrNFZg+L1g3TUxUS4H3ej29talNOQbX2HK7WvoIq53OcZPEy6nvjk3X5+CR5u3BR/r6mpr5Vf998VP/cWay29s7PhOgwPz1+U6b8fJh/1FtYBL+f4A9NeBoyD09D5uFJyDs8DZmHqzW2tGvl2sP65/ZiOST5epv0/ckDNX1svEzGsz8s0ma3q+B4vfYcrtLegiodKanXN4sCb4tJw5JDNXRAmHYcrNT+I52L8ocGeuv6SwZp/PBoGQ2Gnn1x/UhlbbP+tumo1u0+rg5b5zs3ICZQdY1tqqlvVUZahH5+3UiPfo96EwVYP8EfmvA0ZB6ehszDk5B3eBoyj76ioMSqZZ8cUEFJvSQpKSpAcy8fokHxwWe8T019q/YertKegmrlFFSrqbWjy+1JUQEaMTBcIweGaVB8sMwmo8xmo0JC/PTx+sN6+x/5qrK2SOo8ocDsS9OUmnDm5+tpDodDh49btWZ7kXblVyk2wk9ZQ6KUmR6lsCCfCzKG0uomfbThiDbuK5PN3lmtpCUE66qJAzR8QJiOlNbr6WXb1GFz6AeXDNSsCQMuyLg8Ta8VYHa7XS+88ILeffddWa1WXXTRRXriiSeUnJx82v0PHjyoBQsWaNeuXTIajcrKytK8efMUFxfXnad1ogAD+jcyD09D5uFJyDs8DZlHX2K3O7R213Gt+OKQGls6y6wpo2N1/dRUBfh6qb3DrvyiWu0pqNbew1Uqquj6vdrfx6zhKWEaOTBcw1PCTnso5Tcz39zSrk+2HNOqDYVqbbNJkrLSo/TDqYMUEdJ7Z6dsbbdpc06Z1mwvVmFZ/Wn3SY0PVlZ6ZxkWGnj+h4T+q6LyBq3acERbcst1slEZPiBUV148QEOSuq7F9sXOYv354wMyGKQHbhitESnhPT4eT9drBdgLL7yg5cuX6+mnn1Z0dLQWLFigY8eOadWqVbJYLF32ramp0VVXXaWsrCzdfffdam1t1e9//3tVVVXp/fffl7d394NIAQb0b2QenobMw5OQd3gaMo++yNrUpvc+P6Qv95RI6iy2BsUH68DRWrW225z7GSQNjAvSiIHhGjEwTCkxQTIav/0QvdNlvq6hVe+vO6x1u0rkkGQ2GXVZVqJmTUiWr3fPrXtVVtOkz7cXa/2eEmfBZzYZNX5olCaOjFVxZaO27C/TwaK6LodvpiacKMOGnH8ZVlBi1aqvjmjHwUrntjGpEbry4gEaGBd0xvv9z+r9Wre7RP4+Zj1xc1avFoTfpaG5XS2tHS4dQ0/rlQKsra1N2dnZeuihhzR79mxJktVq1eTJk/XUU09p1qxZXfZ/99139cwzz+irr75yll2lpaW65JJL9Prrr2vChAndeU2SKMCA/o7Mw9OQeXgS8g5PQ+bRl+Udq9WyTw50mekV7G/RiIGds7yGDQhTQDfP5PhtmT9aVq+31+Rrf2GNJCnIz0vXThmoyaPivrNYOxO73aHdh6u0ZnuR9h6udm6PCPbRtLHxmjwq7pTXUFPfqm0HyrUlt1wHi+qc2w36ugy7qJtlWN6xWq366oj2FlQ7HyszPUqzJiQrKTrwO+/f3mHT08u260hpvZKjA/XInLGyuODkAUdKrVr01k61ttu1+L5JPVpQulKvFGC7d+/WD3/4Q3388cdKSUlxbp89e7aGDBmiJ598ssv+RUVFKioqUnZ2tnPbyQJs8eLFuuKKK872qZ1sNrus1uZu36+vMpmMCgryldXaLJuNPzTh/sg8PA2Zhych7/A0ZB59XYfNrg17S9XQ3K7hKWFKjAqQ4TwWYv+uzDscDu04WKk3PzuosuomSVJiVIB+PHOwhqeEnfXz1De1ae3O4/rHtiJV1nWuM2aQNHJQuGZkJmrUoPCzKtWqrS3akluuzTllp5RhgxNDNG5YtLLSoxRymjLM4XBoX0G1/vplgXKP1kqSjAaDJoyI0VUTByguwv+sX48kVda16Imlm1Tf1K7Jo2N1+5XDzuu/RXcdKq7TguU71NTaoSGJIfr1TRdd0OfvTUFBvj1fgH3yySe69957tWvXLvn4fL2o3C9+8Qu1tLTolVde+c7H+M1vfqMVK1bo888/V3h49499dTgcbvMfCQAAAAAAd9PeYdfqrwr05icH1NjcLkkaNyxGt149XPGRAWe8X97RGn20vkDrdhar/cQMswBfL80Yl6TvXZyi2G6WTt9UWdus9buPa/2u486zWEqSwSANSwnX5NFxunhUnEICvbUlp0xvf3ZAeSeKL7PJqBnjkvSDaamKCT/3MezKq9D8V7+S3SHdff1o/dsFWhQ/90i1nliyQU0tHRo6IExP3pEtP5/uzf5zB92a79bc3Dnz6l/X+vL29lZdXd3p7tLFG2+8oeXLl+uRRx45p/JL6pwCabU2ndN9+yL+1QiehszD05B5eBLyDk9D5uFpupP5KSNjlDEoTB+sK9A/thZpc06ptuWW6dLMBH1/8kDnoYtt7TZtyinTZ1uLVFBidd5/QEygLs1MUPbwGHmfOFywpubcl0MynRjTlJExqqpr0ZbcMm3KKdeh4jrtO1ylfYer9Mr7exQa5K1qa6skyWI2aurYeH0vO9l5ZsnzGUNSpJ+un5aqd9bk65WVuxUZaPnWM3X2hANHa7TorZ1qabMpPSlED9wwSq3NbWptbuvV572QznYGWLcKsJOzvtra2rrMAGttbZWv75kXUHM4HFq8eLFeeukl3XXXXbr55pu787SncMfj6202u1u+LuBMyDw8DZmHJyHv8DRkHp7mbDPvazFr9qVpmjomTm+vydfuQ1X6ZPMxrd9doisvHqC6xjat23X8G4vaG5SVHq3pF8VrYGyQ8+ivnv7/K9jfohkXJWrGRYmqqmvR1hNrhh0+blW1tVXeFpMuHZugy7ISFeRv6dExXJ6VqENFddqWV6E/vrdbT9yc5XyOnra/sEaL39ultna7hiaH6r7rR8lsNHrs51W3CrDY2FhJUnl5uZKSkpzby8vLlZ6eftr7tLe365FHHtGqVav08MMP67bbbjuP4QIAAAAAgP4kNtxf9/9wtPYVVOutNQdVXNGot9fkO28PD/LW1Ix4TR4dpyC/3imDziQ82EeXj0vS5eOSVFnXrGNlDUpLDOn2CQLOlsFg0K2zhup4VaNKqpr08l/26j/+fYxMxu+ewdQd+45U6/n3dqutw64RKWG657qRLll4vy/pVgGWnp6ugIAAbdq0yVmAWa1W5eTkaM6cOae9z8MPP6xPP/1UixYtOuUskQAAAAAAwDMMTwnTk7dkad2uEq3ZXqSQAG9NGxuv0YMizvlMkT0pIthXEcFnPrqtp/h6m/Xza0fqt29sVe7RWq3452HdMD21xx5/z+EqPb9ijzpsdo0aFK6fXztCXmbPLr+kbhZgFotFc+bM0cKFCxUWFqb4+HgtWLBAMTExmjlzpmw2m6qrqxUYGCgfHx+tXLlSq1ev1sMPP6xx48apoqLC+Vgn9wEAAAAAAJ7BZDRqaka8pmbEu3ooLhUX4a/bvjdUL36wVx9vPqqUuCBlpUed9+PuPFipFz/Yow6bQxlpEfrZ90fIfBbrY3mCbr8L9913n66//no99thjmj17tkwmk5YuXSqLxaKSkhJNmjRJq1evliStWrVKkvSHP/xBkyZN6nI5uQ8AAAAAAICnyUyP0hXjO4+u+++P9qu48twX2JekbQcq9Kf3O8uvi4ZEUn79C4PD4XC4ehDdYbPZVV19fqHoS8xmo0JD/VVT0+ixC9HBs5B5eBoyD09C3uFpyDw8DZnveTa7XYve2qnco7WKDvPT/J9kyte7WwfrSZK25Jbr1b/uk83u0LihUbrjqmE9vq5YXxUW5n9WZ4H0jHcDAAAAAACgjzEZjfrpNSMUGuitsuomLf1ov7o7T2ljTqle+Utn+TVheLRHlV/dwTsCAAAAAADgIkH+Fv382pEymwzanleh1RsLz/q+X+0t0ZIPc2R3ODRxZIxum0X5dSa8KwAAAAAAAC40MC5IP545WJK0cu1h7TtS/Z33WbfruJau2i+HQ5oyOk63fG9onzibZl9FAQYAAAAAAOBil4yO06RRsXI4pFf+sk+Vdc1n3PefO4r1P3/LlUPStLHxuumKITIaKL++DQUYAAAAAACAixkMBs29bLCSYwLV0NyuP72/V+0dtlP2+8e2Ir3x9wOSpBmZCZozczDl11mgAAMAAAAAAOgDvMwm/fzaEQrw9VJhab2WfZLX5fZPNh/V/33aue2KcUmafWmaDJRfZ4UCDAAAAAAAoI+ICPbVXVcPl8Egrdtdoi92FkuS/raxUG+tyZckzZqQrB9OG0T51Q1mVw8AAAAAAAAAXxueEqbrpgzUii8O6/8+zVNBSb3W7jouSbp64gBdMymF8qubmAEGAAAAAADQx3wvO1ljB0eqw+Zwll/XTk7R9ycPpPw6BxRgAAAAAAAAfYz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      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc = {'figure.figsize':(15,8)})\n",
    "sns.lineplot(data=df_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='epoch'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data_dict = {'epoch': epoch, 'val_eval': val_eval}\n",
    "df_plot = pd.DataFrame(data=data_dict)\n",
    "df_plot = df_plot.set_index('epoch')\n",
    "sns.set(rc = {'figure.figsize':(15,8)})\n",
    "sns.lineplot(data=df_plot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.8.13 ('myenv38')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "39c542c5c02b7a511e1ae79f0bb478cef0c12733a4ae7993722600208abb2b65"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}