causal-impact.ipynb

{
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  {
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   "source": [
    "# Analyzing Stock Market Interventions: A CausalImpact Tutorial\n",
    "\n",
    "This notebook is a tutorial on __[CausalImpact](https://opensource.googleblog.com/2014/09/causalimpact-new-open-source-package.html)__, a __[causal inference](https://en.wikipedia.org/wiki/Causal_inference)__ method developed by Google.\n",
    "\n",
    "It estimates the causal effect of an intervention (e.g., a policy change, marketing campaign, or product launch) on a time series. It applies __[**Bayesian structural time-series models (BSTS)**](https://en.wikipedia.org/wiki/Bayesian_structural_time_series)__ to analyze how an intervention alters a time series, controlling for other influencing variables. By comparing actual post-intervention data to a counterfactual (what would have happened without the intervention), CausalImpact estimates the impact and provides measures of uncertainty. \n",
    "\n",
    "Bayesian structural time-series models, upon which the CausalImpact package is built, are a flexible and powerful approach for analyzing time series data by capturing underlying structures such as trends, seasonality, and external regressors. Its probabilistic framework allows for uncertainty estimation in predictions and effectively handles complex data patterns. With Bayesian inference, BSTS models continuously update beliefs about the system as new data arrives, making them adaptive and robust to changing conditions. They are especially useful for forecasting, causal inference, and anomaly detection, as they compare observed outcomes to predicted counterfactuals, even with incomplete data. Additionally, the Bayesian approach provides credible intervals, offering more nuanced insights into the model’s predictions and associated uncertainty, which supports better decision-making in areas like policy evaluation, demand forecasting, and campaign effectiveness analysis.\n",
    "\n",
    "For more in-dept explanation of BSTS, and CausalImpact package, please refer to Brodersen et al: *Inferring causal impact using Bayesian structural time-series models.* Ann. Appl. Stat. 9 (1) 247 - 274, March 2015. https://doi.org/10.1214/14-AOAS788\n",
    "\n",
    "In this tutorial, we will look whether there was an impact on Meta's stock price after the __[Facebook-Cambridge Analytica scandal.](https://en.wikipedia.org/wiki/Facebook–Cambridge_Analytica_data_scandal)__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f3c087eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "import yfinance as yf\n",
    "import pandas as pd\n",
    "from causalimpact import CausalImpact\n",
    "import tensorflow as tf\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b82aa911",
   "metadata": {},
   "outputs": [],
   "source": [
    "#define dates\n",
    "training_start = \"2015-12-28\"    # start of our dataset\n",
    "training_end = \"2018-03-05\" # end of the \"normal\" period, i.e. before the intervention\n",
    "treatment_start = \"2018-03-12\" # start of the intervention\n",
    "treatment_end = \"2018-07-16\" # end of the intervention\n",
    "end_stock = \"2018-07-17\" #post-intervention period"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8f86a1b9",
   "metadata": {},
   "source": [
    "### Variable description\n",
    "\n",
    "In this tutorial, we will use dataset that contains stock prices for the following companies: \n",
    "\n",
    "```\n",
    "BMW.DE - BMW,\n",
    "CARL-B.CO - Carlsberg,\n",
    "DIS - Disney,\n",
    "GE - General Electric,\n",
    "GS - Goldman Sachs,\n",
    "KHC - Heinz,\n",
    "MCD - McDonald's,\n",
    "META - Meta,\n",
    "NVS - Novartis,\n",
    "WMT - Walmart.\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "26c6ffa2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[*********************100%%**********************]  10 of 10 completed\n"
     ]
    }
   ],
   "source": [
    "#get stock data\n",
    "stocks = [\"META\", \"WMT\", \"DIS\", \"BMW.DE\", \"NVS\",\n",
    "         \"GS\", \"GE\", \"KHC\", \"MCD\", \"CARL-B.CO\"]\n",
    "\n",
    "dataset = yf.download(stocks, start=training_start, end=end_stock, interval='1wk')\n",
    "dataset = dataset.iloc[:,:10] # take only \"Adjusted Close\"\n",
    "\n",
    "# getting rid of unneeded level (all columns refer to adjusted close)\n",
    "dataset.columns = dataset.columns.droplevel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b6135c9f",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Ticker</th>\n",
       "      <th>BMW.DE</th>\n",
       "      <th>CARL-B.CO</th>\n",
       "      <th>DIS</th>\n",
       "      <th>GE</th>\n",
       "      <th>GS</th>\n",
       "      <th>KHC</th>\n",
       "      <th>MCD</th>\n",
       "      <th>META</th>\n",
       "      <th>NVS</th>\n",
       "      <th>WMT</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>134.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>134.000000</td>\n",
       "      <td>134.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>53.434698</td>\n",
       "      <td>554.218861</td>\n",
       "      <td>97.539360</td>\n",
       "      <td>111.350937</td>\n",
       "      <td>179.926362</td>\n",
       "      <td>57.336410</td>\n",
       "      <td>117.790295</td>\n",
       "      <td>146.436098</td>\n",
       "      <td>53.709057</td>\n",
       "      <td>22.653684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4.839653</td>\n",
       "      <td>55.848257</td>\n",
       "      <td>6.256800</td>\n",
       "      <td>27.312292</td>\n",
       "      <td>34.509564</td>\n",
       "      <td>6.688187</td>\n",
       "      <td>19.547405</td>\n",
       "      <td>29.637230</td>\n",
       "      <td>4.125099</td>\n",
       "      <td>3.493375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>42.884342</td>\n",
       "      <td>429.737061</td>\n",
       "      <td>85.321861</td>\n",
       "      <td>59.973202</td>\n",
       "      <td>119.557793</td>\n",
       "      <td>41.978825</td>\n",
       "      <td>91.659500</td>\n",
       "      <td>94.775246</td>\n",
       "      <td>45.270294</td>\n",
       "      <td>17.231564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>49.290315</td>\n",
       "      <td>504.681526</td>\n",
       "      <td>92.637371</td>\n",
       "      <td>82.885519</td>\n",
       "      <td>139.898293</td>\n",
       "      <td>53.439686</td>\n",
       "      <td>99.714960</td>\n",
       "      <td>119.467003</td>\n",
       "      <td>50.425210</td>\n",
       "      <td>20.075175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>54.202299</td>\n",
       "      <td>549.588074</td>\n",
       "      <td>97.825241</td>\n",
       "      <td>124.344555</td>\n",
       "      <td>191.596558</td>\n",
       "      <td>58.623175</td>\n",
       "      <td>109.242458</td>\n",
       "      <td>141.124992</td>\n",
       "      <td>54.090977</td>\n",
       "      <td>21.278884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>57.103026</td>\n",
       "      <td>603.924698</td>\n",
       "      <td>102.654667</td>\n",
       "      <td>132.455788</td>\n",
       "      <td>206.495750</td>\n",
       "      <td>62.372389</td>\n",
       "      <td>136.237675</td>\n",
       "      <td>174.311806</td>\n",
       "      <td>57.231357</td>\n",
       "      <td>25.456007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>62.777031</td>\n",
       "      <td>667.332214</td>\n",
       "      <td>109.834557</td>\n",
       "      <td>142.668976</td>\n",
       "      <td>233.351883</td>\n",
       "      <td>68.790276</td>\n",
       "      <td>152.197968</td>\n",
       "      <td>209.559372</td>\n",
       "      <td>64.634201</td>\n",
       "      <td>32.163944</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Ticker      BMW.DE   CARL-B.CO         DIS          GE          GS  \\\n",
       "count   134.000000  134.000000  134.000000  134.000000  134.000000   \n",
       "mean     53.434698  554.218861   97.539360  111.350937  179.926362   \n",
       "std       4.839653   55.848257    6.256800   27.312292   34.509564   \n",
       "min      42.884342  429.737061   85.321861   59.973202  119.557793   \n",
       "25%      49.290315  504.681526   92.637371   82.885519  139.898293   \n",
       "50%      54.202299  549.588074   97.825241  124.344555  191.596558   \n",
       "75%      57.103026  603.924698  102.654667  132.455788  206.495750   \n",
       "max      62.777031  667.332214  109.834557  142.668976  233.351883   \n",
       "\n",
       "Ticker         KHC         MCD        META         NVS         WMT  \n",
       "count   134.000000  134.000000  134.000000  134.000000  134.000000  \n",
       "mean     57.336410  117.790295  146.436098   53.709057   22.653684  \n",
       "std       6.688187   19.547405   29.637230    4.125099    3.493375  \n",
       "min      41.978825   91.659500   94.775246   45.270294   17.231564  \n",
       "25%      53.439686   99.714960  119.467003   50.425210   20.075175  \n",
       "50%      58.623175  109.242458  141.124992   54.090977   21.278884  \n",
       "75%      62.372389  136.237675  174.311806   57.231357   25.456007  \n",
       "max      68.790276  152.197968  209.559372   64.634201   32.163944  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dataset statistics\n",
    "dataset.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6d11f31c",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Ticker</th>\n",
       "      <th>BMW.DE</th>\n",
       "      <th>CARL-B.CO</th>\n",
       "      <th>DIS</th>\n",
       "      <th>GE</th>\n",
       "      <th>GS</th>\n",
       "      <th>KHC</th>\n",
       "      <th>MCD</th>\n",
       "      <th>META</th>\n",
       "      <th>NVS</th>\n",
       "      <th>WMT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-12-28</th>\n",
       "      <td>59.590073</td>\n",
       "      <td>495.228424</td>\n",
       "      <td>98.361176</td>\n",
       "      <td>133.080673</td>\n",
       "      <td>150.620956</td>\n",
       "      <td>50.348270</td>\n",
       "      <td>95.339897</td>\n",
       "      <td>104.445374</td>\n",
       "      <td>54.994640</td>\n",
       "      <td>17.231564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-04</th>\n",
       "      <td>50.928970</td>\n",
       "      <td>480.270538</td>\n",
       "      <td>92.903938</td>\n",
       "      <td>121.545601</td>\n",
       "      <td>137.007187</td>\n",
       "      <td>49.254951</td>\n",
       "      <td>93.193237</td>\n",
       "      <td>97.130409</td>\n",
       "      <td>52.131138</td>\n",
       "      <td>17.861225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>47.620785</td>\n",
       "      <td>429.737061</td>\n",
       "      <td>87.896019</td>\n",
       "      <td>121.716484</td>\n",
       "      <td>130.045685</td>\n",
       "      <td>47.884842</td>\n",
       "      <td>92.951149</td>\n",
       "      <td>94.775246</td>\n",
       "      <td>51.281033</td>\n",
       "      <td>17.408661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-18</th>\n",
       "      <td>48.652306</td>\n",
       "      <td>437.013885</td>\n",
       "      <td>90.704216</td>\n",
       "      <td>120.648453</td>\n",
       "      <td>131.090317</td>\n",
       "      <td>51.476192</td>\n",
       "      <td>95.549698</td>\n",
       "      <td>97.739159</td>\n",
       "      <td>52.565784</td>\n",
       "      <td>17.622293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-25</th>\n",
       "      <td>46.790695</td>\n",
       "      <td>467.333954</td>\n",
       "      <td>89.693260</td>\n",
       "      <td>124.322594</td>\n",
       "      <td>135.018158</td>\n",
       "      <td>54.015751</td>\n",
       "      <td>99.891411</td>\n",
       "      <td>111.979889</td>\n",
       "      <td>49.836506</td>\n",
       "      <td>18.653940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-18</th>\n",
       "      <td>55.634258</td>\n",
       "      <td>640.045471</td>\n",
       "      <td>102.606842</td>\n",
       "      <td>60.459183</td>\n",
       "      <td>195.474838</td>\n",
       "      <td>47.222244</td>\n",
       "      <td>142.199585</td>\n",
       "      <td>201.326294</td>\n",
       "      <td>53.551941</td>\n",
       "      <td>25.479286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-25</th>\n",
       "      <td>53.777702</td>\n",
       "      <td>640.898193</td>\n",
       "      <td>101.130562</td>\n",
       "      <td>63.053604</td>\n",
       "      <td>190.761398</td>\n",
       "      <td>46.930874</td>\n",
       "      <td>135.407150</td>\n",
       "      <td>193.921509</td>\n",
       "      <td>53.894398</td>\n",
       "      <td>25.728611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-02</th>\n",
       "      <td>55.558060</td>\n",
       "      <td>664.774109</td>\n",
       "      <td>101.101624</td>\n",
       "      <td>64.165482</td>\n",
       "      <td>191.816498</td>\n",
       "      <td>48.133667</td>\n",
       "      <td>137.766357</td>\n",
       "      <td>202.813217</td>\n",
       "      <td>55.057327</td>\n",
       "      <td>25.386168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-09</th>\n",
       "      <td>55.156273</td>\n",
       "      <td>661.363281</td>\n",
       "      <td>106.991539</td>\n",
       "      <td>64.350815</td>\n",
       "      <td>195.812149</td>\n",
       "      <td>47.700367</td>\n",
       "      <td>136.979919</td>\n",
       "      <td>206.894852</td>\n",
       "      <td>56.205994</td>\n",
       "      <td>26.344419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-16</th>\n",
       "      <td>55.426437</td>\n",
       "      <td>667.332214</td>\n",
       "      <td>107.283340</td>\n",
       "      <td>63.424248</td>\n",
       "      <td>199.799103</td>\n",
       "      <td>47.102707</td>\n",
       "      <td>138.051514</td>\n",
       "      <td>209.559372</td>\n",
       "      <td>56.148914</td>\n",
       "      <td>26.491610</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>134 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Ticker         BMW.DE   CARL-B.CO         DIS          GE          GS  \\\n",
       "Date                                                                    \n",
       "2015-12-28  59.590073  495.228424   98.361176  133.080673  150.620956   \n",
       "2016-01-04  50.928970  480.270538   92.903938  121.545601  137.007187   \n",
       "2016-01-11  47.620785  429.737061   87.896019  121.716484  130.045685   \n",
       "2016-01-18  48.652306  437.013885   90.704216  120.648453  131.090317   \n",
       "2016-01-25  46.790695  467.333954   89.693260  124.322594  135.018158   \n",
       "...               ...         ...         ...         ...         ...   \n",
       "2018-06-18  55.634258  640.045471  102.606842   60.459183  195.474838   \n",
       "2018-06-25  53.777702  640.898193  101.130562   63.053604  190.761398   \n",
       "2018-07-02  55.558060  664.774109  101.101624   64.165482  191.816498   \n",
       "2018-07-09  55.156273  661.363281  106.991539   64.350815  195.812149   \n",
       "2018-07-16  55.426437  667.332214  107.283340   63.424248  199.799103   \n",
       "\n",
       "Ticker            KHC         MCD        META        NVS        WMT  \n",
       "Date                                                                 \n",
       "2015-12-28  50.348270   95.339897  104.445374  54.994640  17.231564  \n",
       "2016-01-04  49.254951   93.193237   97.130409  52.131138  17.861225  \n",
       "2016-01-11  47.884842   92.951149   94.775246  51.281033  17.408661  \n",
       "2016-01-18  51.476192   95.549698   97.739159  52.565784  17.622293  \n",
       "2016-01-25  54.015751   99.891411  111.979889  49.836506  18.653940  \n",
       "...               ...         ...         ...        ...        ...  \n",
       "2018-06-18  47.222244  142.199585  201.326294  53.551941  25.479286  \n",
       "2018-06-25  46.930874  135.407150  193.921509  53.894398  25.728611  \n",
       "2018-07-02  48.133667  137.766357  202.813217  55.057327  25.386168  \n",
       "2018-07-09  47.700367  136.979919  206.894852  56.205994  26.344419  \n",
       "2018-07-16  47.102707  138.051514  209.559372  56.148914  26.491610  \n",
       "\n",
       "[134 rows x 10 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# display the dataset\n",
    "dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41e0923d",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a62974d",
   "metadata": {},
   "source": [
    "### Figure 1: Plotting stocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7380899e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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OSy+9tFn9pE6nPhFVUlISsn3FihV07969wfj/9//+X5PN2zs9jwf7E78JdxQhrE88Dk1UOjWloqICp9MZkmSs5/P5gt9H0DDJOHjw4AbH9OjRg1WrVrUoBiGEEG3H7/Wy8tUXmj1eVRX8/vZ7M3DsbXehO4OpcE888QQxMTEsWbIkJOlwssZ+J9UbNWpU8N+HDx8GICMjo9UxRRpNc3Po0GMddj1FVdBO8z2Tnv5bFMV0Rte5+eabefnll/n973/P8uXLG01yTZ8+naVLl/Kf//yHO++8EwhURH322WdceeWVxMbGBsc+9dRTzJw5k6effpqnn34as9nMsGHDuOKKK7jppptkyqbotCQpJYQ4pWeeeYbs7GwgkAD46KOPmDt3Ln6/n5/+9KchYxVFYdq0abz22ms8/PDDLFq0iKuvvpqoqKhGzz1y5EhUVWX16tVcd911rFmzhtzc3OD48847j9WrV3PppZeyZs0a9Ho9F1xwQavv5cQExYkuuOCCRlf0k+lendukSZPIy8sLvn700Ue5++67g68XLVrUYCqoyXRmD6BCCCHEiS677DI+/fRTHn/8cZ555pkmK1sa+50EMHv27PYOUbQTo9HIQw89xD333MN7770X0kO13qhRo+jRowdLliwJJqWWLVuGy+UKmboHgTfO/vvf/7Jq1SrWrFnDli1bWLt2LStXrmTx4sUsW7asQf9MIToDSUoJ0caMOoUnJ/ds12sYDAY8zSxVN+rObPpZdnZ2SKPzSy65hEOHDvHkk0/yox/9KOQdHIBp06bx9NNP8+yzz/L999/zv//7v02eOzY2lgEDBgSroFavXs2ECROC+0eOHBmyLzc3N2Rlv5aq7yV1cum8zWYLucdzgsEQqEyKJK14hy8hIQGz2dxon7Dnn38eh8NBSUlJgwQqBFa+kUbnQggRWVS9nrG33dXs8S15JmptPGfi/vvvZ8CAAcyfPx+/38+zzz7baGKqqd9JJ79ZkpaWBkBhYSG9e/c+o9gihaIYSU//bYddrznfM4rSssrtplx77bX84x//4I9//GOjLSgUReH6669n3rx5bNmyhUGDBrF48WIyMzMZM2ZMg/H1C/7UL/pjt9t58MEHee+991i0aBG33XZbm8QtREeSjmhCtDFFUTDp1Yj5aI+eSP369cPpdJKfn99gX3p6OhdeeCFPP/00vXr1Yvjw4ac81+jRo/nhhx/Iy8tj165dISvrjRw5km3btpGXl0dhYeEZTd0D+Oyzz1AU5ZSr950rFEVBMRoj66MV36s6nY4xY8awdevWBtMyc3JyGDRo0Bk1lBVCCNGxFEVBZzBEzEdbPEf94he/4IEHHuDdd9/lnnvuaVbvqKbUt0/4+OOPzziuSKEoCqpqiqiPtnp+VhSFRx55hP3794esQn2iadOmodPpWLRoEdu3b2fbtm1cf/31zYrBarVy7733ArBr1642iVmIjiZJKSFEi23fvh2gyd4Id911FxMnTmxWP6b6RNP8+fNRVTVkel79v+fPnw/Q6DtGzbV48WJWrFjBddddR3p6eqvPIyLPnDlz8Pl8/OpXv2rXd8uFEEKI1nrwwQf5xS9+wfvvv39GianLL7+cfv368dxzz7Fz585Gx3z55Zc4HI4zCVe0oYsuuoiLLrqI+fPnU1dX12B/SkoK48aN49133+W1115DVVV+/OMfNxh38ptv9fbu3Qs0nAkgRGch0/eEEKe0c+fO4INTZWUlH330EV9//TVXXHEFmZmZjR5z8cUXc/HFFzfr/CNHjkSn0/HRRx8xaNCgkOl5sbGx9O/fn48++giDwRBSdVWfoDq5KbXT6WTTpk3BfxcUFPDxxx/z+eefM2rUKJ566qkGMVRXVwePOZHJZGLgwIHNug8RPsOHD+d3v/sdjz76KJMmTeKmm24iJycHVVUpLS1l+fLlAA2mfm7duhWbzdbgfDk5OY1uF0IIIc7Ez3/+cxRF4f/+7//QNI0XX3yxxefQ6XS89NJL3HjjjVxzzTXccsstjB49GqvVysGDB1m+fDmfffYZeXl5WCyWdrgL0Rpz585l0qRJlJeX06dPnwb7p0+fzhdffMGbb77JuHHjGn0Ddfz48Vx44YWMGzeO7t2743K5+O6773jhhRdISkpi+vTpHXErQrQ5SUoJIU7pgQceCP47JiaGjIwMHn/8cW699dY2OX90dDS5ubl89913jU6rq5/CN3jw4JCHq6beYTxw4ADXXHMNEChpTkpKYuDAgbzwwgtMnjwZVW1YILphw4bgMSdKSUlpNFklIs8tt9zC0KFDefnll3nxxRcpKSlBURRSUlIYNmwYixcvbrAc80033dTouRYuXMhFF13UEWELIYQ4x9x///2oqsq8efO44447yMrKavE5evTowccff8wrr7zCxx9/zOuvv47b7SY5OZkRI0awbNmyRpumi/AZOHAg1113HcuWLWt0/6WXXkpSUhJlZWUNGpzXe/jhh/n666/561//SmlpKT6fj7S0NK677jp+9rOfSaWU6LQUranlqAQAZWVl7TodRFEUUlNTKSoqanJlsEglsQcqbMLxS7+9m3q2t84af2eNGzp37BBZ8bfk/3v5ORke4Y7dYDCQlJTU4ddtT/I81DSJvfXa4jkqkn4/tJTEHh4Se0Md8TdNuH/etFZnjRvCH3tzn4ekp5QQQgghhBBCCCGE6HCSlBJCCCGEEEIIIYQQHU6SUkIIIYQQQgghhBCiw0lSSgghhBBCCCGEEEJ0OElKCSGEEEIIIYQQQogOJ0kpIYQQQgghhBBCCNHhJCklhBBCCCGEEEIIITqcJKWEEEIIIYQQQgghRIeTpJQQQgghhBBCCCGE6HCSlBJCCCGEEEIIIYQQHU6SUkIIIYQQQgghhBCiw0lSSghxWnl5efz85z9n5MiRZGVlkZ2dzeWXX87f/vY3KisrG4y//PLLSU9P5x//+Eej51u0aBHp6enBj8zMTM4//3xmzZpFfn5+g/FTp05l/PjxLY579erVIddJT0+nf//+XHXVVSxZsqRF5/r000/5yU9+wqBBg+jRowcDBgxg2rRpLF26FI/HEzK2oqKCP/zhD4wbN45evXrRp08frrrqKl599dUGY0XbycvL48EHH2T06NH06tWLXr16MWbMGB566CG2bNkSMvbLL79k+vTpDBkyhJ49ezJkyBCmTp3Kc889F6bohRBCnE0WL14cfPZYvXp1g/2apnHBBReQnp7O1KlTQ/bV1NTwzDPPcMUVV9CnTx969uzJiBEjeOCBB/j+++8bvUZ6ejpZWVkMHjyYqVOn8uyzz1JeXt7u9ykCPvjgA9LT03n33Xcb7Lv00ktJT0/nyy+/bLBv9OjRXH755QCMGDGi0e+Hem+99RbJycnB76nCwsIGz7lNfRQWFrbp/QrRlvThDkAIEdn+/e9/88gjj9CrVy/uvvtucnJy8Hq9bNmyhQULFrBp0yZefvnl4Pht27axbds2ABYuXMjdd9/d5LmffvppevfujcvlYsOGDfz1r39l9erVfPXVV8TFxbXZPfzqV79i9OjRQCBh9Pbbb/Pzn/+c2tpaZsyYccpjNU3jgQceYMmSJVx66aU8/vjjpKWlUV1dzerVq3nkkUeoqKhg5syZAOzdu5fp06djt9u58847GTZsGE6nk88//5zHHnuMDz74gAULFmCxWNrs/gQsWLCAX//61/Tq1Yvbb7+dnJwcFEVh7969vPPOO0yePJlVq1bRo0cPXn/9dR5++GEmT57Mk08+SVxcHIcPH2bjxo0sX76ce++9N9y3I4QQ4iwRHR3NwoULg88h9dasWcP+/fuJjo4O2b5//35uvPFGysvLufnmm3nwwQeJioqisLCQ999/n0mTJrFjxw5iYmKCx9Q/T3m9XsrLy1m/fj1/+9vf+Mc//sHf//53Lrroog6513PZ6NGjURSF1atXc+211wa3V1ZWsnPnTqxWK6tXr2bcuHHBfYcPH+bAgQPceeedwW3R0dGsXbuW/fv306NHj5BrLF68GJvNRk1NDQDJycm89957IWMeeeQRampqePbZZ0O2Jycnt9GdCtH2JCklhGjSxo0befjhh7nooot4+eWXMZlMwX0XXXQRd911V4N3fRYuXAjAhAkT+OKLL9iwYQPDhw9v9Px9+/Zl0KBBQOCXud/v509/+hOffPIJ119/fZvdR8+ePRk6dGjw9YQJE9iyZQvvvPPOaZNSf//731myZAm/+MUveOihh0IqnS677DJmz57N/v37AfD5fNxxxx3U1tbywQcf0KtXr5Brjhw5ktmzZ/PEE08wb968Nru/c92GDRt45JFHmDBhAv/85z8xGo3BfWPHjuW2227j/fffx2w2A/Dcc88xcuRIXnzxxZDzTJ06Fb/f36GxCyGEOLtdc801LF26lN///vfYbLbg9oULFzJs2LBgggECzxEzZ86koqKC9957j759+wb3jRo1imnTprFixQoMBkPINU58ngK48sorufPOO7nuuuu44447WLlyJUlJSe14lyIhIYG+ffuyZs2akO1r165Fr9czffr0BhVz9a9PTFhecMEF7Nixg0WLFvGrX/0quH3//v2sXbuWn/zkJyxYsAAAk8kU8nwLYLPZ8Hg8DbYLEclk+p4QbU3TwOuKnA9Na/WtPPvssyiKwrx580ISUvWMRiOXXXZZ8LXT6eSdd94hNzeXJ554Agi8q9Ncubm5AJSVlbU65uZQVZWoqKgGD3Un83g8PP/88/Tu3Zv777+/0THJyclccMEFAHz00Ufs3r2be+65JyQhVe/aa6/l4osvZtGiRZSWlp7xfZwJTdPwef0R9aG18nv1r3/9Kzqdjnnz5oUkpE509dVXk5KSAgTetWzqHUNVlV+LQggRTpqmoXn9kfNxBs9RQLBq5p133gluq66u5sMPP+TGG28MGfvxxx+zY8cO7r333pCE1InGjx/frGrr9PR0HnvsMWpra3njjTdafwMdQNM0XP7I+mjN13306NHs27ePkpKS4LY1a9YwaNAgxo8fz9atW6mtrQ3Zp9PpGDFiRHCboihMnTqVt956K+SNskWLFpGWliZVb+KsJJVSQrQ1n5uEz+9v10soqoLmb94vy4pL/wL6hgml0/H5fKxatYrzzjuP9PT0Zh3z0UcfUVVVxf/7f/+PrKwsLrjgAt577z1+85vfEBUVddrj6+e7Z2VltTjeU/H7/Xi9XiCQkFi8eDE7d+7kj3/84ymP27JlC1VVVdx0000oinLa63z99dcATJo0qckxl19+OV999RVr1qwJKe/uaH6fxvq3DoXt+o254Mfp6PSn/zyfyOfzsXr1anJzc+natWuzjhk6dCgffvghf/7zn5k0aRJ9+/ZFp9O1JmQhhBBtzaehfVhy+nHHeFvwTNQayuSu0MLfTSey2WxceeWVLF68mJtvvhkIJKhUVeW6667jhRdeCI796quvgFM/R7TEhAkT0Ol0rF27tk3O117cGjx0+GiHXU9V1dNWRv8xLRZTC7/so0eP5uWXX2bNmjVcd911QKAaasKECQwfPhxFUVi3bh0TJkwI7jvvvPNCpmIC3HDDDTz33HN8+eWXjB8/Hp/Px1tvvcX06dPlzTNxVpLvaiFEoyoqKnA4HGRmZjb7mIULF2I2m5kyZQoQ+KVaV1fH+++/3+h4n8+H1+ulrq6OL7/8kmeeeYaRI0eGVF+1hVmzZtG9e3e6d+/O4MGDmTdvHj/72c+46aabTnncoUOBpE1GRkazrnP48OHTjq//fNafW5yZiooKnE4n3bp1a7Cv/vur/qP+Xc+nnnqK3r178/TTT3PZZZeRk5PD9ddfL43ohRBCtIsbbriB7777jl27dgGBKvKrrrqqQT+p5jxHtITVaiUhISGkcke0n5EjR6KqanBaXkVFBTt37mTUqFFERUVx3nnnBfcdOnSIgoKCBr3GAHr06MHIkSNZtGgREFicpaSkpE1bWwgRSaRSSoi2pjMGqpPakcFgaP4fz7rGpzO1tYKCAlavXs11111HbGwsEJgy9dhjj7Fo0SJuuOGGBsdcffXVIa+zs7N55ZVX0Otb9qPJ7/eHvOOlKEpI5cvcuXMZM2YMAEePHmXVqlU8//zzuN1uHn300RZd60zVJ0aaU3nVnlSdwgU/bl4FXEdRdW37OZk0aRJ5eXnB148++ih33303PXr04LPPPmP9+vWsWbOGLVu2sHbtWlauXMnixYtZtmxZsP+UEEKIDqZTAtVJzaRvyTNRK+M5U6NGjaJHjx4sWrSIadOmsXnzZh577LE2CO70znT6YUcwKoHKpI7SnOdoYyu+7HFxcfTv3z/YV2rt2rXodLpgb9WRI0eyatUqoPF+Uie6/vrreeihh6ioqGDRokWMHj2ajIwMtm/f3vLAhIhwkpQSoq0pSqumy7WI3gBa+xY6JiQkYLFYKCgoaNb4RYsWoWkaV155JUePHi/Bvuyyy1i6dCl79+6ld+/eIcc888wzZGdnU1tby3vvvccbb7zBPffc0+LeB/Pnz+fpp58Ovu7WrRvr1q0Lvs7MzAxpAHrRRRdRVVXFCy+8wPTp0xvEVa9+2mJzl9FNS0sLjm/qnPXnqh8bLoqitHiqXCRKSEjAbDZz8ODBBvuef/55HA4HJSUl/PSnPw3Zp6oqI0eOZOTIkQDY7XYefPBB3nvvPRYtWsRtt93WEeELIYQ4iaIoLZoup+hVlHZ+JjpTiqIwbdo0XnnlFVwuF1lZWSF9hOo15zmiJex2O5WVlU32p4oUiqK0eKrcmTCoCqraPhccPXo0//znPykuLg5Oz6tvYTFy5EheeOGF4ArOer0+2Jf0ZFdddRWPPvooL774Ip999hnz589vl3iFiASR/RNcCBE2Op2OsWPH8v333wfLyZvi9/tZsmQJADNnzqR///7Bj6VLlwIES5BPlJ2dzaBBgxgzZgzz5s3jxhtv5L///S8ffPBBi2K96aab+PDDD4Mfr7766mmP6devH5qmhVTSnGzQoEHExcXxySefNOudxvrmkx9//HGTYz755BP0ej2jRo067fnE6el0OsaMGcPWrVsbTE/Iyclh0KBB9OvX77TnsVqt3HvvvQDB6RVCCCFEW5k2bRoVFRUsWLCgyWlY48aNA079HNESn3/+OT6fT545OlB95dOaNWtYs2ZNyOe+PgG1du3aYAP0pnquWiwWrrnmGp577jmsVitXXHFF+wcvRJhIUkoI0aR7770XTdN46KGHcLvdDfZ7PB4+/fRTvvzyS4qKirjtttt46623Gnz06dOHt99+O9hsvClz584lLi6OP/3pT6dtQHmilJQUBg0aFPxoThKiPhnVpUuXJscYDAbuuece9u7dy1/+8pdGx5SXl7NhwwYArrjiCnJycnj++efZt29fg7HvvvsuX331FdOnT29y9TfRcnPmzMHn8/GrX/2qWVM4muqtsXfvXoBmN0wXQgghmis1NZVZs2YxceJEfvzjHzc65vLLL6dfv34899xz7Ny5s9ExX375JQ6H47TXO3ToEP/7v/9LTExMsMG6aH8jR45Ep9OxfPlydu3aFZKUiomJYcCAAbz11lsUFhY2OXWv3i233MLEiRO5//77pa2AOKvJ9D0hRJOGDRvGH/7wBx555BGuuOIKbr75Zvr06YPH42H79u288cYb9O3bF1VV0ev1zJkzh5SUlAbn+clPfsKjjz7KF198weWXX97k9eLi4rj33nt58sknWbZsGf/zP/8T3FdTU9NoBVViYuJp3wH84Ycf2LRpU/A833zzDQsXLmTQoEEh5fPTpk1j7dq1IVMWZ82axZ49e/jTn/7Eli1buPbaa0lLS6O6upp169bx73//mwcffJDhw4ej0+l48cUXueGGG7jmmmu46667GDp0KG63m88++4x///vfjBo1iscff/yU8YqWGT58OL/73e949NFHmTRpEjfddBM5OTmoqkppaSnLly8HCDaUHT9+PGPGjGH8+PF0794dl8vFd999xwsvvEBSUhLTp08P5+0IIYQ4Sz3yyCOn3K/T6XjppZe48cYbueaaa7jlllsYPXo0VquVgwcPsnz5cj777DPy8vKwWCzB43bu3InX68Xn81FeXs66detYsmQJqqry0ksvkZiY2N63Jo6x2Wycd955fPzxx6iqGuwnVW/kyJG89NJLQNP9pOoNHDiQV155pd1iFSJSSFJKCHFKN910E4MHD+bFF1/kb3/7G2VlZej1erKyspgyZQo//elPGTZsGJdeemmjCSmA//mf/+F3v/sdCxcuPGVSCuCnP/0p//rXv5g/fz7XXXddsGH54cOHueuuuxqMHzVqFG+//fYpz/nUU08F/221WunWrRv3338/d955Z0hDdL/fj8/nCzlWURTmz5/PFVdcwZtvvsnjjz/O0aNHiY6Opn///jzyyCMhZfi9e/fm008/5YUXXuA///kPzzzzDDqdjpycHH7zm99w0003YTAYThmvaLlbbrmFoUOH8vLLL/Piiy9SUlKCoiikpKQwbNgwFi9ezNixYwF4+OGH+eqrr/jrX/9KaWkpPp+PtLQ0rrvuOn72s59JpZQQQoiw6dGjBx9//DGvvPIKH3/8Ma+//jput5vk5GRGjBjBsmXLiImJCTnmgQceAMBoNBITE0N2djazZ8/mxhtvlIRUGIwePZrNmzczcOBAbDZbyL5Ro0bx4osvYjQaGySshDhXKVpnWJIhjMrKytp1RQ9FUUhNTaWoqKhTrI5xIokdqqurGzwYdIQWrb4XgTpr/J01bujcsUNkxd+S/+/l52R4hDt2g8FAUlJSh1+3PcnzUNMk9tZri+eoSPr90FISe3hI7A11xN804f5501qdNW4If+zNfR6SnlJCCCGEEEIIIYQQosNJUkoIIYQQQgghhBBCdDhJSgkhhBBCCCGEEEKIDidJKSGEEEIIIYQQQgjR4SJu9b177rmHsrKyBtsvu+wyZs6ciaZpvPXWW3zxxRfU1taSnZ3N7bffTkZGRnCsx+NhwYIFrFq1CrfbzcCBA5k5c6asPiGEEEIIIYQQQggRISIuKfWHP/wBv98ffF1QUMCTTz7JqFGjAHj33XdZvnw5s2fPJjU1laVLl/Lkk0/yl7/8BYvFAsCrr77Kpk2buO+++7DZbLz++us89dRTzJs3D1WV4jAhhBBCCCGEEEKIcIu4pNTJS1G+8847dO3alf79+6NpGh9++CFTpkxhxIgRQKCy6o477mDlypVMnDgRu93OihUrmDNnDrm5uQDMmTOHWbNmsXXrVgYPHtzodT0eT8jymoqiBJNciqK0w50ev057X6O9SOxCiHNVc392dOafNRK7EEIIIYRobxGXlDqR1+vlm2++4corr0RRFEpKSqiqqmLQoEHBMQaDgf79+7Nr1y4mTpxIfn4+Pp8vmJACSEhIIDMzk927dzeZlFq2bBlvv/128HXPnj2ZN28eSUlJ7XZ/J0pJSemQ67SHczl2h8OBwWBoo2haJlzXbSudNf7OGjd07tghcuI3Go2kpqa26Jhz+edkOHXm2IUQQgghzgURnZRav349dXV1jBs3DoCqqioAYmNjQ8bFxsZSXl4eHKPX64mOjm4wpv74xkyZMoWrrroq+Lr+3dWysjK8Xu8Z3knTFEUhJSWF4uJiNE1rt+u0B4kd3G53SIVdRzEYDGG5blvprPF31rihc8cOkRW/2+2mqKioWWPl52R4hDt2vV7fYW9qCSGEEEJ0ZhGdlPrvf//L4MGDSUhICNl+cjl+cx44TzfGYDA0+S58RzzQaprW6R7660nsQohzTUt/bnTmnzUSuxBCCCGEaC8R2/W7rKyMrVu3MmHChOC2uLg4gAYVT9XV1cHqqbi4OLxeL7W1tQ3G1B8vhDi9xYsXk56eHvzIyspi8ODBTJ06lWeffTZYnVjvz3/+M+np6VRUVAS3aZrGu+++y5QpU8jNzSUrK4uhQ4cybdo03nzzzY6+JSGEEEKIDnHic9Tq1asb7Nc0jQsuuID09HSmTp0a3H7is9fJH/fffz+FhYWnHHPiR2FhYfC8TzzxBOnp6dxyyy0dcv9CCNFcEVsp9d///pfY2FiGDBkS3JacnExcXBxbt26lZ8+eQKDvVF5eHjfddBMAWVlZ6HQ6tm7dyujRowGorKykoKAgOEYI0XxPP/00vXv3xuv1Ul5ezvr16/nb3/7GP/7xD/7+979z0UUXNXnsH/7wB55//nluuukmZs2aRVRUFAcPHmTNmjV88skn3HjjjR14J0IIIYQQHSs6OpqFCxcG/y6pt2bNGvbv39+g5QjAlVdeyV133dVge2JiIsnJybz33nsh2x955BFqamp49tlnQ7YnJycDgQWdli5dCsCXX35JUVFRi3sjCiFEe4nIpJTf7+fLL7/k4osvRqfTBbcrisLkyZNZtmwZqamppKSksGzZMkwmE2PHjgXAarUyfvx4FixYgM1mIzo6mgULFpCZmRnS/FwI0Tx9+/YNWVzgyiuv5M477+S6664LrnzZWO8Uh8PBSy+9xNSpU/njH/8Ysu8nP/kJLper3WMXQgghhAina665hqVLl/L73/8em80W3L5w4UKGDRtGTU1Ng2OSkpIYOnRok+c8eZ/NZsPj8TR5zCeffMKRI0eYMGECX3zxBW+99RY/+9nPWnlHQgjRtiJy+t73339PeXk5l1xySYN91157LZMnT+all17i4YcfpqKigrlz52KxWIJjbr31VoYPH878+fN59NFHMRqN/PKXv0RVI/J2xVlG0zTcPnfEfLRHP5X09HQee+wxamtreeONNxod43A4cLlcdO3atdH98v+jEEIIIU6maRperzdiPs70Oeraa68F4J133gluq66u5sMPP+ywivFFixZhNBqZP38+aWlpLF68WPrtCSEiRkRWSg0aNIglS5Y0uk9RFKZNm8a0adOaPN5oNDJjxgxmzJjRXiEK0SSP38OTW59s12soqoLmb97DxK9zf41RZ2zzGCZMmIBOp2Pt2rWN7k9ISKBHjx689tprJCYmMmHCBHr16tVgoQIhhBBCiHo+n4/PP/+82eNVVcXv97dbPJdeeil6fev/ZLLZbFx55ZUsXryYm2++GQgkqFRV5brrruOFF15ocEx9Yu5kOp2uxc9Rhw8f5quvvmLy5MkkJiby4x//mGeeeYa1a9cyatSo1t2UEEK0ISlVEEK0itVqJSEhgZKSkibHPP/888TGxvLb3/6Wiy++mL59+3LrrbeyZMkSeYdOCCGEEOeEG264ge+++45du3YBgSboV111VaP9pABee+01unfv3uCjvi9USyxevBi/38/06dODsSiKwsKFC1t/Q0II0YYislJKiM7MoBr4de6v2/caBgMej6fZ8bSX0yWWBg8ezKpVq1i1ahVr165l69atrFy5ks8//5x33nmHV199VSqnhBBCCBGk0+m49NJLmz2+Jc9ErY3nTI0aNYoePXqwaNEipk2bxubNm3nssceaHH/11Vcza9asBtszMzNbdF1N01iyZAlpaWnBhWkyMzMZNWoUH374Ib/73e9C+lwJIUQ4SFJKiDamKEq7TJc7kUFnQPGHN5ljt9uprKykb9++pxxnMBgYN24c48aNA6CiooK7776bzz//nBUrVjBhwoQOiFYIIYQQnYGiKC2aLqfX6yO++rq+/cgrr7yCy+UiKyuLESNGNDk+MTExZJGZ1lq5ciUFBQXceeedIQ3Vr776alavXs0777wTnFIohBDhItP3hBCt8vnnn+Pz+VrcjyAhIYE777wTIFjGLoQQQghxNps2bRoVFRUsWLCA66+/vkOuuWjRIgD++c9/0r9//+DHww8/HLJfCCHCSSqlhBAtdujQIf73f/+XmJiYJt9h83g81NTUkJCQ0GDfnj17AJpcmU8IIYQQ4mySmprKrFmz2Lt3Lz/+8Y/b/XpVVVV8/PHHDB8+nIceeqjB/oULF7J06VJ27tx52qp3IYRoT5KUEkKc0s6dO/F6vfh8PsrLy1m3bh1LlixBVVVeeuklEhMTGz2upqaGESNGcNVVV3HhhReSlpZGXV0da9as4eWXXyY7O5vJkyd38N0IIYQQQoTHI4880qxxZWVlbNq0qcF2m81GTk5Os86xbNkynE4nM2bMYPTo0Q32x8fHs3TpUhYuXMhvfvObZp1TCCHagySlhBCn9MADDwBgNBqJiYkhOzub2bNnc+ONNzaZkAKIjo7mwQcfZNWqVTz11FOUl5ejKAoZGRnceeed3H333Vgslo66DSGEEEKITmH58uUsX768wfbhw4fzzjvvNOscCxcupEuXLkyaNKnR/f369WPIkCEsXbqUuXPnYjS2bz9UIYRoiqJFemfAMCsrK2vXFT0URSE1NZWioqKIb9J4MokdqquriYmJacPImqe9V5ppb501/s4aN3Tu2CGy4m/J//fyczI8wh27wWAgKSmpw6/bnuR5qGkSe+u1xXNUJP1+aCmJPTwk9oY64m+acP+8aa3OGjeEP/bmPg9Jo3MhhBBCCCGEEEII0eFk+p4QQgghRIRZtmwZ69ev59ChQxiNRnJycvjJT35CWlpacMzzzz/PV199FXJcdnY2v/vd74KvPR4PCxYsYNWqVbjdbgYOHMjMmTNPOf1aCCGEEKKjSFJKCCGEEOcUfcVuvPG9QYncgvG8vDwuv/xyevXqhc/nY9GiRTz55JM8/fTTmM3m4LjBgwcze/bs4Gu9PvTR7tVXX2XTpk3cd9992Gw2Xn/9dZ566inmzZuHqkbu/QshhBDi3CBJKSGEEEKcM4yH1hD9/QJcaRdQd94tEZuYmjt3bsjr2bNnM3PmTPLz8+nfv39wu16vJy4urtFz2O12VqxYwZw5c8jNzQVgzpw5zJo1i61btzJ48OAGx3g8npB+JYqiBBelUBTlDO+qafXnbs9rtBeJXQhxNmjvnwOd9edNZ40bOk/skpQSQgghxFlFcdXArs2ohgx85oTgduPB1URvewPQ0HRGILIf0k5kt9uBwMqmJ8rLy2PmzJlERUXRr18/pk+fTmxsLAD5+fn4fL5gQgogISGBzMxMdu/e3WhSatmyZbz99tvB1z179mTevHkd1rg9JSWlQ67THiT2lnM4HBgMhjM+T1ucI1wk9vCQ2EMZjUZSU1Pb/LyN6aw/Kztr3BD5sUtSSgghhBBnFeuut+HIFmI8PpzdJ+DIuhxT8Saitv0b0HBmXoS93w0Q4e8c1tM0jddee42+ffuSmZkZ3H7++eczatQounTpQmlpKYsXL+a3v/0tTz31FAaDgaqqKvR6fYNEVmxsLFVVVY1ea8qUKVx11VXB1/XvrpaVleH1etv+5k64TkpKCsXFxZ1ydSOJvXXcbvcZryQmK6mFh8QeHu0Vu9vtpqioqM3Pe6Jw/7xprc4aN4Q/dr1e36w3tSQpJcQZ8vl86HS6cIchhOgAfr8/3CGI09E09OU7QAHF58GS/zGmgytR3bUAOLtfgr3vjztNQgrg5ZdfpqCggN/+9rch20ePHh38d2ZmJr169WL27Nl8++23jBgxosnznerB1GAwNPkufEc80Gqa1uke+utJ7K0jz1FChJfP5wM65md8/XU648/Kzho3RH7skdlIQYhOwmKxUFtbi8fjiej/0YUQZ87v91NTU4PVag13KOIU1LpiVFc16AzUDr4DnzXpeEKqx/hOl5B65ZVX2LRpE48//vhpV8yLj48nKSkp+G53XFwcXq+X2trakHHV1dVN9qESoiPJc5QQ4aNpGh6Ph9ra2mDvQCHCQSqlhDgDBoMBm82Gw+HA4XB02HWNRiNut7vDrtfWOmv8nTVu6NyxQ+TEHxUV1WB1MxFZDBW7A//o0gdP6lDcybmYDq0BFFzdxnSahJSmabzyyiusX7+eJ554guTk5NMeU1NTw5EjR4iPjwcgKysLnU7H1q1bg1VVlZWVFBQUcNNNN7Vr/EI0R1s8R0XK74fWkNjDQ2I/TqfTYbPZZDVWEVbyZC3EGVJVlaioqA67nqIopKamUlRU1CnfVeys8XfWuKFzxw6dP37RsYJJqa7HVqhT9bgyLgxfQK308ssvs3LlSh566CEsFkuwB5TVasVoNOJ0OlmyZAkjR44kLi6OsrIyFi5ciM1m44ILLgiOHT9+PAsWLMBmsxEdHc2CBQvIzMwMaX4uRDidyXNUZ/79ILGHh8QuROSRpJQQQgghzg6ahj6YlBoI7deXu919+umnADzxxBMh22fPns24ceNQVZXCwkK+/vpr6urqiI+PZ8CAAdx///0h0zBuvfVWdDod8+fPx+12M3DgQH75y1/Ku+JCCCGEiAiSlBJCCCHEWUFXexjVXYumM0JCLygtC3dIrbZkyZJT7jcajcydO/e05zEajcyYMYMZM2a0VWhCCCGEEG1G3iYTQgghxFmhvkrKG98LdPK+mxBCCCFEpJOklBBCCCHOCoaKPQB4E/qEORIhhBBCCNEckpQSQgghROd3Qj8pT2JOmIMRQgghhBDNIUkpIYQQQnR6uppDqJ46NJ0JX0xmuMMRQgghhBDNIEkpIYQQQnR6x/tJ9QZV+kkJIYQQQnQGkpQSQgghRKdnqNgFgCdBpu4JIYQQQnQWkpQSQgghIoA5/1NiVv0OfeXecIfS6SieumCTc09CdpijEUIIIYQQzSX17UIIIUSY6ct3YN29DADbhr9SO+QuPF0GhDmqCKZpmA+swFi8CbWuFNVTF9isN+OLyUQJc3hCCCGEEKJ5pFJKCCGECCPFXUf0ttcB8BttKH4P0d/+HUPxd2GOLDIp7jqiv/0b1p1vo6/6IZiQ8pticPSaDKouzBEKIYQQQojmkkopIYQQIoysOxahOqvwWZOpHvVLorb/G2Pxt9g2v0ht7q2400aEO8SIoTu6n+jNL6JzVKCpehw51+FJ7IvP0gX0pnCHJ4QQQgghWkiSUkIIIUQ7UetKYNMnqHFD8VkSG+w3Fm3AVLQRTVGpzb0NzWCldtDtROktmA6uwrrjLdypF4AiE9L0lfuwbZiP4vfhsyZRO/gOfDEZ4Q5LCCGEEEKcAZm+J4QQQrSTqO1vwq6PsK37M6rjSMg+Xe1horYvBMDZazK+uJ6BHYpKXb9pAKieOhSvvUNjjlSmwm9Q/D48iX2pHvUrSUgJIYQQQpwFJCklhBBCtANddSH6I7sAUJ2V2NY/jeqsBAIVUjFr/ojideCN7YEj6/KTDjbiN9qOHVvVkWFHJk3DUJ4HgCNrEprBGuaAhBBCCCFEW5Dpe0IIIUQ7MB9YEfhHSi7+0h/Q2cuwrZ+PJ7Ev5sJvAPAk9KF28O2gNvx17DfHobprUB0V+GzpHRl6xNHVFKK6a9B0JrzxvcIdjhBCCCGEaCOSlBJCCCHamOI6irFoQ+BF7jSqqz3Y1v0Jnb0Mnb0MCFT8OLKvBqXxomW/OQGqC1GdFR0VdsQylG0HwJPYp9EEnhBCCCGE6Jxk+p4QQoizk8+NbeNz2DY+i67mUIde2lzwNYrfhzcuC7pko1niqbng5/isXfAbrNQMuRtHzrVNJqQA/JYEgOCUv3OZofxYUqrLgDBHIoQQQggh2pK83SiEEOKsZCjbHkxmxBzZhbPnpTh6TQadsX0v7HNjKvwaAGePCUQf2+y3JHJ07OOg+ZsVg98cD4DqOLcrpRSPHX3VDwB4kiQpJYQQQghxNpFKKSGEEGclU/EmAPymWBTNhyX/E2JX/gZddUHbXsjnRrWXBpJNgKloA6q7Fr85AU/XwaFjVX2zk2JSKRVgOLITRfPji+qK35IY7nCEEEIIIUQbkkopIYQQZx+vC0PZ9wDUDLkb1XWUqLzF6BwV2L79B0dHP4JmjD7NSZrB5yZm/dPojx4INOGOzURnLwfA2X0cqLpWnzpYKdWcnlKaFvivorT6epEqOHVPqqSEEEIIIc46UiklhBCi01IdR4j95glM+1eEbDeWb0PxufFZEvHFdMeTPIijY36NL6orqrOS6K3/Op7IOQPWnW+hP3oAAMXnwlCxB9VZiaYz4eo25ozO7QsmpaqCVViN0VUXEv/Fg0RtfaVN7imiaBqG8jwA3NJPSgghhBDirCNJKSGEEJ2W8fB6dHUlWHcvRXUcOb69+FsA3KnDgtVDmsFK7eA70FQDhvI8zPkfneG112EuXAko1Ay9l6NjH6X2vFtwdr+E2kG3oxmsZ3R+zRSLpuhQND+K62jjg/xeorYtQPE6MBVtxLLnvTO6ZqTR1R5GdVahqQa88b3DHY4QQgghhGhjkpQSQgjRaemr8gFQ/D4sez8IbPS6MJQGpu65U4aEjPfZ0qkbMB0A654P0B/Z2arr6moPE7X9TQAcvSfjSRqALzoNd/oo7P2m4Uk+r1XnDaGo+M2xges10VfKvP9z9NWFaKoBAEv+xxiLNp75tTuKpmEo/R6lifsLTt1L7NP+DeqFEEIIIUSHk6SUEEKIzknTgquyAZgOrUNXcwhj2fcofg8+axI+W0aDw9zpo3B1Gw1oRG9+EfO+D5uuRGqE4rETvflFFJ8bT2LfwIp+7cRvbrrZuVpXgmXvcgDqBt6Eo8elAER9/zq6owdA01BrizEeWovuhM9TkzQNY/Em9BW72+4GTsNY8i22b/9GzIZnwO9tsN9QFpi65+nSv8NiEkIIIYQQHUcanQshhOiUVHspqqcOTTXg6dIPY+lWLHveBSXQXNydMrTJxt91/a5HV30QfXUB1j3vY9n3Ie6u5+PseRm+mIaJrHr6it1Eff8aOkcFflMstYNmgNJ+7+8Em507Tmp2rmmBaXt+L54u/XGnXgCpw9HVFWMs24Zt418Dx3nsgeGqgapxf0AzRjV5LUPJZqI3vwSAp8sA7P2mAqltf1MnMBV8BYCurgRT4Te4ul8S3Kc6jqCv2huIR5qcCyGEEEKclaRSSgghRKekr9wHgDe2O/Y+P0JTVIyl358wdW9o0wfrjFSP/AW1ubfhjctC8fswFW0kdvUfsO5YAl5n6Hi/B8vO/xCz/i/oHBX4LAnUDJmFZrS11+0FLmtpvFLKVPg1hsp9aDoTdQNuDCTfFJW63J/ii05B9dhRPXY01YCmN6P4PRhLvm36QpqGZd/y4EtD+XZiV/4vbHgZfO52uTe1tghDxZ7ga8ve5SjHkmhofqK2vori9+FJyMZvTW6XGIQQQgghRHhJpZQQQohOyXCsn5Q3vhf+qK64uo3GXLgSRfPhi+qKz5Z+6hOoBtxpI3CnjUBXXYAl/xOMxd9iPvBfjCXf4eh1JYqnDv3RA+ir8lGPTfFzdRuNve9UNL2lvW+x8UopTcOy70MA7DnX4rckHt9lsFI9/OcYyrfji07DZ0vHfGAF1l3LMBZtwJVxYaPXMZRtRV9zCE1vpnrYzwK9qUq3wp5PMTv9OHpd2eb3Zi78BgB30kB0jnJ0tcWY932Eo+//YN7/OYbKvYGk28Cb2/zaQgghhBAiMkillBBCRDJNC1lVThynrzpWKRXXEwBHryuDDb/dKUOanLrXGF9MJrWD76Bm2L34rF1QnVVEbf831t3vYCz5DtV1FL/RRs2Qu6kbeHOHJKTgxJ5Sx5NSqqMM1VWNpupwZYxtcIxmisGdPgpfbHdQ9bhThwNgqNjbaG8qNC3Ym8qZeTG+uJ7UDpmF/VhDeNOhdaBprb4H1XEEy573Ue3lxzf63JgOrQXA1X0c9j5TATAX/BdDyebgKoL2fj/Gb01q9bWFEEIIIURkk0opIYSIYNadb2E+8F9qc3+KO+2CcIcTMRRPHbraYgC8cVkAaOY47P2vx3hoLc6Mi1p1Xk+XARwd8yiW/I8xlG3Db03CG9sDb2x3vLE9OnwFuOPT96qC2/SVgQoxX0x3OJaEO+U5zPF4ErIxVOzBWLQRZ8+JIfsNZdsCK/jpTDiPNUsHcKWNhP0foNaVoas+gC+2R4vjV9w12Db8BZ29HOPhtVSPfAjNFIuxeBOK14HPkognMdDE3NOlH4byHdi+ewEAd3IurvTRLb6mEEIIIYToPKRSSgghIpRaW4z5wJcAgelajVSrqI4j4Pd1cGThp6/aD4DPmhTS18nVbQw1Ix5EM8e1/uQ6I47sa6ge/Qi1g+/A2XMi3oScDk9IAfiP3Yfqrgn2dtLXT1s8ViHWHPXVUsaiDaE7NA1L/kcAODMvQjNGH9+nN0G3wHGmk49rDp8b27f/QHesQkrnqMC26XnwOoNT91wZFx7rh6Vg7/M/QKC6zW+0UTfwJy2qdhNCCCGEEJ1PRFZKVVRU8MYbb7B582bcbjepqanMmjWLrKxj74ZrGm+99RZffPEFtbW1ZGdnc/vtt5ORcXzFJI/Hw4IFC1i1ahVut5uBAwcyc+ZMEhMTm7qsEEJEFOued4FAIkpXV4KhbBue5POC+42H1hL9/Wu4uo2O3L47Pje6mkPoj+5Hf/QAvqhknFlXnHGy4fjUvay2iDJiaXorms6E4nOhOqvwRyWjr/oBAE9cr2afx911CNa8xeirC1Fri/BHB1bV0x/Zgb7qBzTVEFIlFdR9LOxagbFoYyBp1NyVBjWN6O9fQ1+Vj6a3UJv7U6K2LUBfXUjM+qcDlVmqDle345VQPls6jh4TMBf8NzBFsp2byAshhBBCiPCLuKRUbW0tjz76KAMGDOCRRx4hJiaGkpISrFZrcMy7777L8uXLmT17NqmpqSxdupQnn3ySv/zlL1gsgT4fr776Kps2beK+++7DZrPx+uuv89RTTzFv3jxUVQrEhBCRTVf1A8aSzYCCOzkXY+kWzPs/CyalFHcd1p1vA2A6uBpX+mi88c1PUrQX1V6KoWIPumNJKF3NYRQttJLLF5WKJ+X8M7pO/RS2SLjndqUo+C3x6GqLUZ0V+E0x6GsOAS2rlNKMUXi69MNYtg1T0UYc2Vej2suI2rEEAFfmhWimmIYHpg5CM1hRXdXoK/bgTezTrOtZ9ryLsfhbNFVHzZC78SbkUDN0NjHr56OvLgTA3fX8BoknR58f4ci5plnTEoUQQgghROcXcUmpd999l8TERGbPnh3clpx8fCloTdP48MMPmTJlCiNGjADgnnvu4Y477mDlypVMnDgRu93OihUrmDNnDrm5uQDMmTOHWbNmsXXrVgYPHtzguh6PB4/HE3ytKEowwaW04/SB+nO35zXai8QeHp05dui88Xdo3JpG1O5lALi6jcLR+2qM5dswVOxBf6y3j3XPu6ieukDFkaZh3fkWNaN+1WgFUkfFrqs5SMyq3zWYZqgZbXhjuwOB/kVRO9/iaNKAwPSwZmgQv9+Hvno/AL74rIj+XmqLz73fnICuthids/LYebRArylLPC05qyftgmNJqQ14E/sQvfmfKO46/OZYnFmXN4hRURTQ6fGkDsVY8A2movX4uvQ97XX0lfuw5H8CgH3gzfgS+6AA/rie1A2+g+hv/waahjvzooafF0UBznyaZGf9OSOEEEIIca6JuKTUxo0bGTRoEE8//TR5eXkkJCRw2WWXcemlgWkFpaWlVFVVMWjQoOAxBoOB/v37s2vXLiZOnEh+fj4+ny+YkAJISEggMzOT3bt3N5qUWrZsGW+//Xbwdc+ePZk3bx5JSR2z6k9KSkqHXKc9SOzh0Zljh84bf4fEfehbsBeCNRrzmJnERiVC8XjY/w3m8nXQJQnKNoLZDGN/Dmv/Dq4Soh27oNcl4Yu9fBWYTBCdDBkjIbEXJPSCqC6BZIPXBcsfgLpyrEdWw+AbW3T6YPwVP4BeAUs85t5DoRNUv57R575rT6jNx2zWgIrA1z1jENbU1Jadp8vlsPdt8NVg3foPUDVIGwAX/QKrNaHJw2LOuwJKN2A+upPY5C6gO00VU96LgRizLsE8bErovtRUSE4BRwXmrItbFn8rdNafM0IIIYQQ54qIS0qVlpby2WefceWVVzJlyhT27t3Lv/71LwwGAxdffDFVVVUAxMbGhhwXGxtLeXmgmWpVVRV6vZ7o6OgGY+qPP9mUKVO46qqrgq/r310tKyvD6/W20d01pCgKKSkpFBcXo53BktvhILGHR2eOHTpv/B0Wt6YRs/oldE4nzp4TcVS7oboIXeIIYnZ+Bnu+xHd4JzqnA3f6COoM3TF1m4B153/wr32Fo4buYLCEJXbb3tXonU7qel+IO+XCwMYaL9QUB8cYul9N9Ld/h83/4WhUP/zRp08anBy/qWAdVqcTT3QWtSUl7XU7baItPvdmt4rF6cRVtA/VVY3B6cSuS8JVVNTic0XF9Ak2O3enDg/0IjvqgqMNzxWM3R9PDGbUmgpqv/8CT9dBDcbW0x/Zhe3AJlD1HE0ei7/RGJPAkgStiL+5wv1zRq/Xd9ibWkIIIYQQnVnEJaX8fj+9evXixhsD76D37NmTwsJCPv30Uy6++Pi7qieX5DfnofNUYwwGAwZD4+/+dsQDraZpneoP9BNJ7OHRmWOHzht/e8etL9+BruYQmt6Co+flwWt5bel4EvtiOLITXW0Rmt5MXc4UNE3DmTkOU8E36OylmPd9hKPPlEbP3Z6xKx47uvoG3In9mryOO+k83EkDMZZtw5q3iJphP2t20/P6+HWVx5ucd5bvoTP53PvM8QCojgp0x/oxeeJ6tup8jh4T0NUU4kobhbPnxOD0z1PRUHClDMOy/3OMh9fhTs5tYqCGZfe7ADi7jcFnTjjtudtbZ/05I4QQQghxroi4OQ/x8fF069YtZFu3bt2CVVBxcXEADSqeqqurg9VTcXFxeL1eamtrG4ypP14IISKR4chOANxdB6MZo0L2OXseXx3Nnn0NmulYxaiqx953KgDmA1+g2ss6JtgT6Cv3oGh+fFFd8VtOscqpomDvNw1N1WM4shNjybctu5Dfh6FiDwCes3zlvXp+c2Bqnb4qH9VTh6Ya8Nm6neaoxvliu3N07OM4sy5r0QqI7tRhABhKv0dx1zQ6xnAkL7DanmrAkTWpVfEJIYQQQohzS8Qlpfr06cPhw4dDth0+fDhYBp+cnExcXBxbt24N7vd6veTl5dGnT2BVoKysLHQ6XciYyspKCgoKyMnJ6YC7EEKI1jEc2QGAJ7FhQ2lPYn9c3cbgShuBK+Oi0H1JA/Ek9kXx+zAf+G+HxHoiQ3nesRj7nXas35qEM+tyACx73m9RNY05/2NUZyWa3oL3XElKWQKVUorPDYA3NhPUji109sVk4o3JRPF7Al+zk2lacLsr80I0c1yHxieEEEIIITqniEtKXXnllezZs4elS5dSXFzMypUr+eKLL7j88sAfMIqiMHnyZJYtW8b69espKCjg+eefx2QyMXbsWACsVivjx49nwYIFfP/99/zwww88++yzZGZmhjQ/F0KISKK469BXHwTAk9BIAl1RqBv4E+pybwNV12Cfo+dEAEwHV6N47G0Wl758R3BqXlMM5ceSaV1On5QCcPaYgKa3oKsrwVC6uVnH6I4ewLLvIwDq+t/Q7NX7Oju/KS7kdViScYqCve//AGAuXImu5lDIbkPZVvRHD6DpjFIlJYQQQgghmi3iekr17t2bX/ziF7z55pv85z//ITk5mVtvvZULL7wwOObaa6/F7Xbz0ksvUVdXR+/evZk7dy4Wy/Hmvrfeeis6nY758+fjdrsZOHAgv/zlL1E7wSpNQoizm676IOb9n+HsMQFfTGZwu75iN6Dhi05tVaWJN7EfvugUdLXFmA6txtnj0tMfdLpYq34gZuNf0XRGqi7+fYMphQCqvQydvQxN0TWeTGuEprfgzLwYS/7HWPI/xZM8+NTTybxuora+iqL5cKcMwZ06vJV31AnpjPiNNtRj0+a8cT3DEoY3IQd3yhCMxd9i3fkWNcPuA0VBrSshavtCAJzdL0Ez2sISnxBCCCGE6HwiLikFMHToUIYOHdrkfkVRmDZtGtOmTWtyjNFoZMaMGcyYMaM9QhRCiFbRH9mJ7bsXULxOVGclNRc8ENx3qql7zaIoOLtPIGr7vzEd+C/OzEsaVlS1kHXPe4FT+9yYDq/F2WNCgzH1fbC8cT1Bb272uZ3dL8G8/wv0R/ejr9yD91QJrS0L0dUW4TfFUNd/eov6IZ0N/JaEE5JS4Zu2aM+ZgqF0C4YjuzCUfY/PmkTMhr+guqrx2tJx9rwsbLEJIYQQQojOR8qGhBCigxiLNmDb9ByK1wmAoWIPam1xcL/hyC4APIl9Wn0NV9oF+A1R6BwVGEq3nv6AU9BX7A4mnABMBV832v+ppVP36mmmGFzdRgFgyf+06TiO7IJdHwJQN+AnaMboFl3nbOA/tgKfz5J4vMF9OOKwdglW4Fl3LCFm/fxgQqpm+P1oBmvYYhNCCCGEEJ2PJKWEEKIDmA78l+gtr6D4A9PPPF0GAGA++A0AqqMCnb0UTVHxxme3/kI6I66MwHRn84EVrT/PiY2r00ag6c3o7KXoT0hSAYHV8I5ta06T85MFEhwKhvLt6KoLGw7we7HmLQrEkTEWT/J5Lb7G2aA+KRUJzd2dWZfjN9rQOY6gumvwxmRQM/zn52SyUAghhBBCnBlJSgkhRDtTa4uI2rEECExZqx00E2f3cQAYD60DnzuY7PHFdj/jahNn5sVoig5D5V50Rw+06hyGI3kYKveiqXrsOdfiShsJgLngq5Bx+uoDKF4HfoMVX2z3Fl/Hb03ClRqYrm3+oWG1lKnwG3S1RWCy4ejzo1bcydnBlT4aT5f+OHuMD3coaHpLsOm5NyaDmmH3NdprTAghhBBCiNORpJQQQrQzc8HXALiTBmLv+2NQFDxd+uM3J6B66jCWfIeh4tjUvYTWT92rp5njcNcnelpTLXVilVTmRWjmeJyZFwFgLN2K6qwMDq2fuudN7AtK636l1PchMhVtClnlT3HXYj0WB7k3nNNTw3wx3agZNgdfbI9whwKAO20EVRf+huqRD0lCSgghhBBCtJokpYQQoj15XZgOrwXA2X388QbdioozYwwQSFoFp8C1sC9TU5yZ4wAwFn8HPneD/YrHjuKqbvRYY8m36I8eQNOZcGRNAsAfnYonIRvQMBWuBAIVYMbD647F3b/VsfpiMnB3HQxoxGz8K/rKvQBY9r6P4nXgi+kGvcJfISRC+aOSQY3I9VKEEEIIIUQnIU+TQgjRjkxF61G8TnzW5EA10Qlc6aOx7F2OviofAE01BFawawO+2B74zXGozir0FXug2wlT6zSNmHV/QldbjDvlfBy9JuOzpaM6K7HsfhfT4fVAYKqhZrQdjzfzYgwVezAVfgOaH/P+z1D8PvwGK+6kM+v1VHvebdg8f8dQsQvbxmex51yHuSDQb8vebxpRqryHIoQQQgghxNlGklJCCNFeNA3TsR5MrswLj1dJ1e82x+FJzsVYshkAb3wvUA1tc+1jUwRNB1djKM8DLg3u0lflB/o0AcbibzEWf4snIRt91X4UvycQb+rwYJVUPXfyIPymGFRXNZb8jwPbkgZi738DminmzOLVm6gZOhvbdy9gKM8L9uBypwzBm5BzZucWQgghhBBCRCR561kIIdqJvioffc0hNNWAK21Uo2NcGWOD/27N6nWn4u4yEABD2baQ7caS745dry+u1GGAgqFiD4rfgye+N0dHPkTdoBmgN4WeUNUHpwX6zXHUDL6T2iGz8VsS2yZgnZGaIXfjPrbCnqYasJ/Dzc2FEEIIIYQ420mllBBCtBNT4bEG56nDmmwG7Unsjy+qK6q9DE/ywDa9vjexD5qioqsrgdrSwEZNw3AsKeXMvAhP1/Nx9L4K06E1eON64knKbVDRdSJn1iS88b3wxmSC3tym8QKgGqgdfCemgq/x2dLxWxJpOhohhBBCCCFEZyZJKSGEaAeKuwZj8SaA4Mp1jQ9UqB5+P6q7Bl90WpvGoBmseOOyMFTuhcObwXYeuppCdI4KNJ0RT5cBAPijuuLIua55J1WU9p9Op+px9ZDG5kIIIYQQQpztZPqeEEK0A9PB1Sh+H97Y7vhie5xyrGaOwxeT0S5xeJICiSeKNgPHVuODQEJKZ2yXawohhBBCCCFEc0hSSggh2pqmYTq4EgBnximqpDpAfTUUJdvA58FYuhkAd9fBYYtJCCGEEEIIIUCSUkII0eb0FbvR2cvR9GbcKUPDGovP1g2/KRa8LkwHV6KrLUZTdXiS2rZ/lRBCCCGEEEK0lCSlhBCijdVXSblShzdcwa6jKQqeLv0BsOx5Hwis8qcZrOGMSgghhBBCCCEkKSWEEG1JcddhPLa6navbmDBHE1BfFaV47IHXMnVPCCGEEEIIEQEkKSWEEG3IWLQ+0OA8JgNfbPdwhwOAt0tfQDn2SsGdnBvOcIQQQgghhBBhdvToUbxeb7jDkKSUEEK0GU3DXHhs6l6EVEkBaIYo6JINgCchB81oC3NEQgghhBBCiHCpra1lw4YNrFu3DpfLFdZYJCklhBBtRHd0P7raw2iqAXfq8HCHEyp7IigKzu7jwh2JEEIIIYQQIkzcbjebNm3C6/Wi1+sxGAxhjUcf1qsLIcRZxHxwFQDulCGR10i850VUmnqjhTsOIYQQQgghRFj4fD6+/fZbHA4HVquV888/H1UNb62SJKWEEOIMKR47uqMHMBZtBMDVbXSYI2qCooAmaSkhhBBCCCHONZqmsW3bNqqqqtDr9QwZMgSj0RjusCQpJYQQrWUq+Arz/hXo7KXBbb6ornjjs8MYlRBCCCGEEEKEys/Pp6ioCEVROP/884mOjg53SIAkpYQQolV01QVE5S0KvvZZu+CLycTR49JARZIQQgghhBBCRACHw8G+ffsA6N+/P4mJiWGO6DhJSglxpjQNfVU+Xls30JvCHY3oINbd7wHg7no+dQNuRDNGxjsNQgghhBBCCHGi3bt34/f7SUhIoFu3buEOJ4SsvifEGbLsfZ+YdX/Cuve9cIciOoi+YjeG8u1oig57n+skISWEEEIIIYSISEePHqWoqAiAvn37okTYrA5JSglxBnRH92PO/wQAfcWeMEcjOoSmYd39LhBoaO63Joc5ICGEEEIIIYRoSNM0du7cCUBaWhoxMTFhjqghSUoJ0RyahuKxh27zuYn+/jUUzQ+ArvYw+L1hCE50JEPZNvRV+WiqAUevyeEORwghhBBCCCEadejQISoqKlBVlZycnHCH0yjpKSXE6XhdRG99GWPp97jSRmDv+z9oRhuWfR+iqy3Gb7Sh+D0oXie62iJ8MRnhjli0F03DsidQJeXsfgmaOS688QghhBBCCCFEI/x+P9999x0APXr0wGw2hzmixklSSohTUFzV2L79G/qjBwAwHV6Hoex7XBkXYcn/FIC6AdMxH/gKQ8Uu9NUFkpQ6mx1Yja76IJrejLPnZeGORgghhBBCCCEaVVxcTE1NDUajkaysrHCH0ySZvidEE9S6EmLW/R/6owfwG6OpHXgz3pgMVI8dS/7HgIYrdRierufjiwmsYKCrPhjeoEX78Xth62IAHD0nohmjwhyQEEIIIYQQQjSuvLwcgG7duqHXR249UuRGJkQYqfYyYtb+H6qnDp81iZqh9+KPSsadNgJTwVdY976P32DF3u8GALzHqqP01QXhDFu0I9PBNVBbgma04ew+IdzhCCHOcsuWLWP9+vUcOnQIo9FITk4OP/nJT0hLSwuO0TSNt956iy+++ILa2lqys7O5/fbbycg4XrHr8XhYsGABq1atwu12M3DgQGbOnEliYmI4bksIIYQQbaikpIS9e/eSm5uLzWYLbtc0jSNHjgBE/O98qZQS4mSaRlTeYlRPHd6YDKpH/j/8UcdWWFN1uHqMp/KSeRwd+3iwWsZnO1YpVXMINC1ckYv24nNj3vcBAI5eV4DeFOaAhBBnu7y8PC6//HJ+97vf8etf/xq/38+TTz6J0+kMjnn33XdZvnw5M2bM4A9/+ANxcXE8+eSTOByO4JhXX32V9evXc9999/Hb3/4Wp9PJU089hd/vD8dtCSGEEKKNaJrGrl27qKmpYf/+/SH7HA4HTqcTVVWJj48PT4DNJJVSQpzEWPIdhvLtaKqO2kG3oxltDQfpjCEvfVEpaKoBxedCtZcdT2KJs4K54EtU51FI7IYr48JwhyOEOAfMnTs35PXs2bOZOXMm+fn59O/fH03T+PDDD5kyZQojRowA4J577uGOO+5g5cqVTJw4EbvdzooVK5gzZw65ubkAzJkzh1mzZrF161YGDx7c4LoejwePxxN8rSgKFosl+O/2Un/u9rxGe5HYw6czxy+xh4fEHj6dNf5Ijruqqgq7PbBCfFlZGXA8zoqKChRFITExEb1ejxbBhROSlBKdgrFoAz5LF3xxPc/oPIbS79GMUfjiezU+wOvEuvMtAJw9L8cf1bV5J1Z1+Gxp6I8eQF9TiFuSUmcNxWPHfKypPef9GHQGqYYTQnS4+ofO6OhoAEpLS6mqqmLQoEHBMQaDgf79+7Nr1y4mTpxIfn4+Pp8vmJACSEhIIDMzk927dzealFq2bBlvv/128HXPnj2ZN28eSUlJ7XRnoVJSUjrkOu1BYg+fzhy/xB4eEnv4dNb4IzHu/fv3h6yoZzAYgr+v8/PzMZlMdO3aNSJjP5EkpUTE0x/ZSfSWV9AUFfuAG3F1G9Oq86iOCmzf/h1N1VE99lEgtcEY6973UZ1V+KxdcGRd3qLze2My0B89gK66EFKGtipGEXnM+78I9BaLToUeF0FJSbhDEkKcYzRN47XXXqNv375kZmYCgXdHAWJjY0PGxsbGBhubVlVVodfrg4msE8fUH3+yKVOmcNVVVwVf17/jWlZWhtfrbYvbaZSiKKSkpFBcXBzR7+Y2RmIPn84cv8QeHhJ7+HTW+CM1bq/Xy+7du/H5fERHR1NbW8v27dvp06cPmqZx4MABXC4XycnJYYtdr9c3600tSUqJiGcu/AYARfMTte0NVGcVjl6ToYUllLqaQkBD8XuJ2vYG9BoUur/6IKYDXwIEGpifNEXvdHy2+mbnhS06TkQuxV2Hef8XADiyryZKlTZ8QoiO9/LLL1NQUMBvf/vbBvtOnk7QnIfOU40xGAwYDIYWH9dWNE2LqIf+lpDYw6czxy+xh4fEHj6dNf5Ii7uoqAifz0dUVBS9evViy5YtlJSUkJOTQ11dXbCfVJcuXSgrK4uo2E8mf2GJiKa4azCUbgHAlRbomWHZ+wFR298Av69F59LVHA7+W1+xB/Z+EXKdqO9fQ9H8uFOG4Eka0OJY61fg01UXNjm9y3hoDfGf/xz9kV0tPr/oeMbiDSg+F15bOp6u54c7HCHEOeiVV15h06ZNPP744yGr58TFxQE0qHiqrq4OVk/FxcXh9Xqpra1tMKb+eCGEEEJ0PgcPHgQgPT2dLl26oCgKdXV11NXVBVfdi4+PR6+P/DokSUqJiGY6tAbF78Mb24O63Nuo6z8dUDAdXI254MsWnUtXG0hK+er7RG3+N4qzCtVeSsza/0NfcxC/IQp736mtitVnSwcUVHcNiutowwF+L9bd76J4nZgOrWnVNUTHMh1aB4ArfXSLK/OEEOJMaJrGyy+/zLp163jsscdITg7tVZicnExcXBxbt24NbvN6veTl5dGnTx8AsrKy0Ol0IWMqKyspKCggJyenY25ECCGEEG2qtraWqqoqFEUhPT0dg8FAQkICEOg5WVFRARDcFukiP20mOi3FXUPUtn/ji0rG2esKNL2lZSfQNEyFKwFwZYwN/DfzIhS/G+vO/2As3oSzx4Rmn05/rFLK3udHWPZ9CK4Sore8jFpbjOquwWdJoGbYz/CbW7lkps6IL7orutpi9DUH8ZjjQnYbS75DPZasMlTsad01RIdRa4vRH92Ppqi404aHOxwhxDnm5ZdfZuXKlTz00ENYLJZgRZTVasVoNKIoCpMnT2bZsmWkpqaSkpLCsmXLMJlMjB07Njh2/PjxLFiwAJvNRnR0NAsWLCAzMzOk+bkQQgghOo/6KqmkpCRMJhMQeLPqyJEjlJaWUldXBxBSYR3JJCkl2o11xxKMx6bemQ6vx97vx7i7Dml2xYm+Yjc6exmazoQrZVhwuytlGNad/0Ff9QOKswrtpORPo/xeVHugQbXPlo594M1Efzs/MI0P8MZkUjN0Npop9lRnOS2vLQNdbTG66kI8SQND9pkP/Df4b9VZgeo4gt/SOX5QnItMhwNVUp4u/dGMNqROSgjRkT79NLDq5xNPPBGyffbs2YwbNw6Aa6+9FrfbzUsvvURdXR29e/dm7ty5WCzH3wS69dZb0el0zJ8/H7fbzcCBA/nlL3+JKj3yhBBCiE7H7/dz+HCg2KJbt27B7cnJyezYsYPKykoAdDpdg8VQIpUkpUS7MJR+j6loI6DgsySgcxwhevNLeLr0ozZ3Bpox+rTnMB08ViWVNhz0puB2zRyHN64n+qofMJZuxZV50WnPpdrLUPw+NJ0JvzkBTVVh4I9gwwI8XQZQM/iOkGu0li8mA4o2NGh2rqv6AX3VD2iqDr+lC7q6EvQVu3Gnj2r6ZJqG6qoCzR/c5DfFgU7+t213mhZMSrnTR4Y5GCHEuWjJkiWnHaMoCtOmTWPatGlNjjEajcyYMYMZM2a0ZXhCCCGECIPy8nLcbjdGo5EuXboEt1ssFmw2GzU1NUCgr2RneQNK/roVbc/rJCpvIQCOHhNwZF+N5YfPMOd/jKF8B1Hfv0btkNkNKqYUdy2a3gyqHsVdi7HkOwBc3cY2uIQ7edCxpNSWZiWl9PX9pGxpx6973lSOWvvgMye0Wb+gYLPzmtCkVH3/K3fKMPzmOCz5n2Co3HvKpJQ1703Mx6YvBs8f15OakQ+dOgi/F3P+J3gT++KN79XymxDoK3ajOivR9BbcSeeFOxwhhBBCCCGEoLi4GIDU1NQGSafk5ORgUqqzTN0DaXQu2oF1z3uozkp81i44sq8GnRFH7yupHvkQmqrDWLYtWAVVz/zDZ8Sv+H/Ef/4AMWv/SPTmlwINzmMy8MV2b3ANd9fBAOgrdqF47KeNqX7lPV90Wsh2v7VLmzaw9tmOJaXs5SiewFxexVmFsXgTAM7ul+CN730s9lP0lfJ7MB3eAICmGtDUwPLc+qofAqv7nYKp8Busez8gausrTa4CKE7NdHgtAK7UoaAzhjkaIYQQQgghxLnC6/WSn5+P0+kM2e7z+SgtLQUgJSWlwXEnLorSWZqcg1RKiTagOo6AxxH4t70M84EvAajrf2PIH/S+mAwcOVOw7nwb68638STk4I/qinn/F1h3LQVA8XvQV/0QPMaVcWGj1/RHdcUXnYKuthhD+XbcqaduRK2rLQrEEJ3a6vtsDs0YdWy6YgWxq36Po+elqM7KQIItLgtfbHf8XgegoLOXoTgr0RpprK6v2Ivic+E3xVI17g+gKERvfhFj8bcYizZA3xFNBKBhLvgKAJ2jAn3lHrwJnXeFJX3lXkwFX6GcMIXRk5CDK/Pi9ruo14WxOFCl506TqXtCCCGEEEKIjrN//3727t3LkSNHGD78+N+5R44cwev1YjabiYuLa3BcTEwMycnJ+Hw+YmJiOjDiMyNJKdF6Pjes+RuxOz5psMuVPhJvl34Ntju7j8dQ9j2GI7uI3vovXKkXYN35NgCOXpNxpV2A/ugB9NUHgudpijt5EJbaYowlW5qRlApUSnlPqpRqD44+P8K6Ywmqs4KoHcd7gjh7jAdA01vwxmSgry7AULEHd9oFDc5hLPseAE/SgGAllytlWCApVbypyQoo/ZGd6OpKgq9Nh9Z22qSU4q4j+rt/orprQrYbi7/FG9sdX2yPtrmQ3xdI9Gl+NIMVXc0hFJ8Ln7UL3ristrmGEEIIIYQQQjTDkSNHgv+trq4OJpjqp+6lpKSgNDLbR1EUhgwZ0nGBthFJSolWUZxV2Db/E5xFoCj4Dccbl/utXbD3mdrEgQp1591K7Mr/DSSfjgaST46sy3H0vgoUBXdU10YTNSdzJw8K9GYq3w5+Dxyb4taAz42uLlDm6LO1f1LKnTIUd9J5mA6txfzDJ+gcFfgsCbiTBwXHeBN6o68uQF/ZeFLKULYtcK4TVvDzJA1A05lQHRVQvgewNTiuvneVN7YH+qP7MRZ/S13/GzrlFDTr7qWo7hp8UV1xHquMMpZuxXBkJ9Y971MzbE6bXMeS/xGWvcsbbHenjWzTqZ1CCCGEEEIIcSo+n4+jR48GX+fn5zN48GB8Ph8lJYHig8am7nVmkpQSLaar+gHbdy+guo5CTCI1592FJ7Fvs4/3m+OpGzCd6C2vAODocSmO7GtbnADwxfbAb4pFdR3FcGR3oKqosXjrSgANvyEKzdhBZYw6I67Mi3B1G42hYhe+qBRQj//v5knIwbx/BYZG+kqpdSXo7GVoqg5PYr+Qc7q7DsJ0eD0UrIa0y0OPcxzBWBqosKo97xZsm55H5ziCsWRzs5J8kUR/ZBemg6sBqBt4c7BhuydpILHf/AZDeR76it1nXAWm2ssx5wcq/TwJ2Sh+L4rHjqY348xo2GBfCCGEEEIIIdpLVVUVfr8fvV6P1+uluLgYu91OTU0NPp8Ps9lMbGxsuMNsU5KUEi2ir9iDbeOzKH5PoGn45Y/jrdVa3FDbnTqcOp8bAFf66NZVpCgK7q6DMBd8jaF0c9NJqcZW3usoqh5Pl4ZxeeN6Awq6uhIUVzWa6XiyrH7qnjc+G/TmkOPcKcOOJaXWQupE4Pj9mAq/ATQ8iX3wR6fiTh+JZe9yTIfXda6klM9N1PZ/A+DMvChkBUG/NQlXxhjMBV9j3f0u1SN+cUZfU+uu/6D4vXgS+lAz/D6pjBJCCCGEEEKETUVFBRBoWu52uykvL2f//v14PB6g6al7nZmsvieaTVd9ENu3f0fxe/B06U/1qIfA1vrSQVe3Mbi6jTmjRED9lDhj6dYmE2Md1eS8JTRjFN5jUwkNlXtD9hlK66fundfgOE+XfmgGKzgq0Z94nM+NqTCwoqEzcxwArmOJKEP5DhRnVRvfQfux7PsQnb0MvzkuUEF3EkfWFWiqAX1VfnCaYwM+N7qj+9Ef2RX80FX9EPI9oi/fgbFkM5qiYu8/TRJSQgghhBBChJmmaVRXV1NcXEx+fj55eXnk5+ejnSOritcnpRISEsjKCvS3PXjw4ClX3evspFJKNItqL8O26VkUrwNPfC9qzr8LRW8Kd1h4E3LQ9BZUVzX6il14G5lGqKs5BBCo7Iog3vhs9DWH0FfswZ0SaEineB3BZJMneWDDg1Q97q6DsZR/i7FoI574bCDQ/Fv11OE3J+A5lszyW5PxxmWhr8rHVLQBZ8+JHXNjp+P3wpF94DeBEpoXN5Rtw/zDZwDU9b8hkIA7iWaOw9n9Eiw/fIplz7t4EvugqytGf/QAuqMF6KsPoKs5jKL5GhzrjcnAnjMFb0I2UTsWA+DKvDjivjeEEEIIIYQ4FxUWFpKXl9dge5cuXTrVinKtcWI/qYSEBCwWC7GxscFtZ+PUPYjApNSSJUt4++23Q7bFxsby4osvAoHM6VtvvcUXX3xBbW0t2dnZ3H777WRkZATHezweFixYwKpVq3C73QwcOJCZM2eSmJjYofdytlBcR7Ft/CuqqxqvLZ3aIbMjp3G2qseVNhxzwdeYDq5qPClVP30vwhIP3oRsKPgSfeXxvlKG8h0omg9fVFf81uRGj3OnDoPybzEWf4u991WYDq/D/MPnADgzLwRVFxzrSh8ZSEodWouzx6VhrwbSV+4lKm8heCqwmbpSe96t+I9VsJkOrsK6/U0UzY8rdTieExrDn8zZ8zLMhV+jrzlE/OcPNJqA8huj0YzHG/Crjkr01YXEbPwrvqiu6OpK8BttgQb7QgghhBBCiLCrX2EuOjqamJgYKisrcTgc1NbWnvVJqfp+UmazGYvFgqIo9OzZk82bNwNn59Q9iMCkFEBGRgaPPvpo8LWqHq+mePfdd1m+fDmzZ88mNTWVpUuX8uSTT/KXv/wFi8UCwKuvvsqmTZu47777sNlsvP766zz11FPMmzcv5FyieaJ2LEFnL8dn7ULN0HsbrV4JJ1f6aMwFX2Ms2YzdU4dmiAruU7wOdI5ACWSkJaU8CYEqJ33NISy738HR+0oMx/pJeZIaqZI6xpvQB0w2lKNlxP33VyiaHwC/OQFXt9Dm3O6UIVh3LEFXexhdzUF8MRmNnbLdKe4arLuWYTq0JrDBbEZ/9ACxq3+PI/saFK8Ty74PgUAirW7ATac8n2aMwpE1Cevud1A0H36DFV9MJt7Y7nhjuuOL7Y7fHB+ShFPcNVj2fYSp8Otjze/BkXNtxH0/CyGEEEIIcS7y+XxUVVUBcP755xMVFcX27dspLCyktrY2vMF1gBOn7tUnn7p27Up0dDR1dXWkpUXW37NtJSKTUqqqEhcX12C7pml8+OGHTJkyhREjRgBwzz33cMcdd7By5UomTpyI3W5nxYoVzJkzh9zcXADmzJnDrFmz2Lp1K4MHD270mh6PJ9g8DEBRlGCSqz2zkfXnjtiMp+bHcGQnAHW5M8ASH2ytHSmx+2O744vphq76IKaiDbi6XxLcp6sLZNr95lgwRUdW7KYYnD0mYN7/BZb8TzCWbQusaAh4knObjE1R9ZA5ErZ9gKL58cVk4Mq4CFfacNCbCTnKGI2n62CMRRsxH/gv9txb2/++TqLWFhGz7mkUdw0A7oyxmIdNw7vyn+jLtmHdtTQ41tH7Spy9r2rW18WVdTm++F74TbH4rUkNqsAanMEUg6P/9bi6X4I5/2M0nQl3tzHN/h6IiO+ZVurMsUPnjl9iD4/OHLsQQghxrqqvFDKZTFitgTeOo6ICBQd1dXXhDK1DnJiUqqcoChdccAFut5vo6OimDu3UIjIpVVxczF133YVeryc7O5vp06fTtWtXSktLqaqqYtCg49N6DAYD/fv3Z9euXUycOJH8/Hx8Pl8wIQWBL2pmZia7d+9uMim1bNmykGmDPXv2ZN68eSQlJbXbfZ4oYhuWVfwAOj+Y4zH3HQWNVJpFROznXQWbXsVcsRlGTD+eoLDvALMZUnKwpjZsdB722FN/BgUjYMOL4DoSWHogOg5zv7GgO8X/ngnTMUenQFIfSOxN1Kn+8DJMh0+3Ya7YSqxND9Ed8z0NQG0ZrH0RVA8k94IRd2FO6gNA9FVPwr4v4NvXweuG4TMxZ1/asvO36t2CVOgd+BkS14qjw/49cwY6c+zQueOX2MOjM8cuhBBCnE3cbjd+v/+UY44cOQJAYmJi8I2l+kTM2VApVV5eTkxMDEZjw1Y4J/eTOpHRaGz0mLNFxCWlsrOzueeee0hLS6OqqoqlS5fy61//mqeffjpYyndyc6/Y2FjKy8uBQHZVr9c3yCLGxsYGj2/MlClTuOqq471l6v8nKCsrw+v1tsGdnUTzoziPgjWBlJQUiouLI3JFAdP+VVidTjy23tSWlITsUxQlYmJXzL2Jc/ugeBfVu9bhi+0OgOXANsxOJ05icBQVHR8fQbFjyEQZ+hBR2/+NoWQzrvTzsZeWNTk8GHv8MDSPBsfmXTctiuioHhiO7MS17g3s/W9o2/ibitNVg23dn9DVleCLTqXmvFlo3miU4uJA/CUlaFEDUC74NYrPGah2OuFrFGki6numhTpz7NC545fYwyPcsev1+g57U0sIIYSIdFVVVaxbt47c3NxTTkGrrxQ6sRd0/d/1drsdv9/fadvxlJeXs3HjRmw2G6NHj25QzX1yP6lzScQlpc4///zgvzMzM8nJyWHOnDl89dVXZGcHevCc/AVszgPn6cYYDAYMBkOrjm0p3dEDRG/+J+iMVI99PHiNSHzo1x/ZDYAnvneT8UVC7JohClfXQZiKNmI8uAp7TCa6qh8wHl4PgC86tdEYIyF2AM0YTc3gO9HVHsZnTYJmfk83N3ZH1iQMR3ZiLFyFvddkNKPtTEM+Na8T26bnAs3EzfHUDJuD3xAVcl/18QeakUc3654jQaR8z7RGZ44dOnf8Ent4dObYhRBCiLNFSUkJmqaRn5/fZLNuj8cTLCI5MSllMpnQ6XT4fD7sdnunncJWn3CrqamhqKioQXKusX5S54qITzOazWYyMzMpKioK9pk6ueKpuro6WD0VFxeH1+ttUN5XXV3daJ+qcPBbk1Ddtehqi9FX7g13OE3TtGB8noScMAdzeq700QCYDm/AVPA1Mev/jOquwWtLx50yJMzRNYOi4LOlt8vKht6EHLyxPVD8Hsz7v2jz8wOojiOYCr4i+rsXiP/yYfRHD+A3RlM97GeBpuNCCCGEEEKIc0793+8ej4fKyspGx9Rvt1qtmM3m4HZFUdpkCl9FRQV5eXns3r2b/Px8CgsLcTqdrT5fS52Yw9i7d2+DqYyN9ZM6V0R8Usrj8XDo0CHi4+NJTk4mLi6OrVu3Bvd7vV7y8vLo0yfQpyYrKwudThcyprKykoKCAnJyIiOxohmsuFOHAWAq/CbM0TRNV3sY1VOHpjOFbdW2lvAm9sVnSUDxOojKW4ji9+HuOpjqEf8PTX9ulUA2oCg4si4HwFzwFYrH3qan15fnEfvN40TlLcJYshnF68RviqVm6D34o6WnixBCCCGEEOciv98f7JUEUFpa2ui4E/tJnexMm51rmsbWrVspKCggPz+f3bt3s337djZv3tyq87XUiZ8DnU6H3W7n4MGDwf01NTVN9pM6F0Tc9L3XX3+dYcOG0aVLF44ePcp//vMfHA4HF198MYqiMHnyZJYtW0ZqaiopKSksW7YMk8nE2LFjgUBmdfz48SxYsACbzUZ0dDQLFiwgMzMzpPl5uDkzLsR0cDXG4u/AVdMu19BX7kNfuQ9nj0tAbXxq4imPrwhM3fPG9QQ14r5VGlIUXOmjse79AAis5ObodWWDVdnOVZ7kQfiiU9DVFmMq/AbnsSTVGdP8RO18G8XvwxuTgbvr+Xi69MMXkwlKxOe9hRBCCCGEEO2ktrY2pCqotLSUPn36NJiidqqkVH2lVGuTUnV1dTidTlRVJSMjA6fTSUlJSYc1T6+trcXn8wUXctuxYwf79u0jPT2duro6NmzYgN/vJz4+/pzrJwVnmJTyer1s3bqVw4cP43Q6mTp1KhDorO9wOLDZbC1uRFZRUcEzzzxDdXU1MTExZGdn87vf/S7YMPTaa6/F7Xbz0ksvUVdXR+/evZk7d27IF+/WW29Fp9Mxf/583G43AwcO5Je//GVENUXzxXTHG5OBvroQ8r+CuKFtfAE30d+9gOquQVdXRN3AW0KSM4bi77Dkf4Tf0gVvbCbemEy8cVmgP14qaehEU/fqubpfguo6iidpIJ7kyElCRgRFwZE1ieitr2Le/zmu9FFoppgmh6t1pURveRlPYh8cfX7U5Dhj0QZ0tUVoegs1w+9HM1jbI3ohhBBCCCFEJ1M/bS0+Ph6Xy4Xdbqeuri6kN5TL5QomiBqrFKqvlDpdEqm8vBxVVRucoz7hFR8fT79+/XC73ZSUlOD1ejukeXp9FVRsbCwZGRns378fh8PBjh07KCkpwePxEBsby5AhQ865flJwBkmpjRs38sILL1BdXR3cVp+UKigoYO7cucyZMydYwdRc999//yn3K4rCtGnTmDZtWpNjjEYjM2bMYMaMGS26dodSFFwZF6Lf/ibs/RyGtm3PI9PBVajuQAWW6dBafNFpOHtOBMBYvImoLa+gaH6oLsRY8h0AflMs1aN+Gej/o2noK/YA4E3IbtPY2pNmsGIfcGO4w4hY7pSh+PI/RVd7mOjvX6Nm6L2NVpKp9lJiNsxHdVahry7AnTYi0O/qZH4vlj3vA+DIulwSUkIIIYQQQnRSmqbxww8/oNfryczMbJNznti83Ofz8cMPP1BaWhqSlKrvp2Sz2TAaG/bXPXH6nqZpjSZu7HY7GzduRFVVxo0bF3Kek6uwDAYDiqKgaRputzukh1V7qP8cxMXFoaoqvXv35vvvvw9O4YuLi2Po0KFNLrx2tmtVSnDnzp38+c9/xmAw8NOf/pQxY8aE7O/duzcpKSmsXbu2TYI8W7lSh6PpTVBTFJwq1yb8Xiw/fAaAJyHQa8u6axmG0u9DElKu1OHY+/wIV+ow/EYbquso1u1vgqah1hWjumvQVAPe2O5tF5sIL1VP7eDb0VQDhvI8zPs/azjEcYSY9c+gOquC28z5Hzd6OtPBVegcR/AbbTgzx7VT0EIIIYQQQoj2VlJSwu7du8nLy8PhcLTJOeurhOLi4khPD7zJfXJfqVNN3YNAix5FUfD5fE02J69P8Pj9fkpKSoLb/X5/MOlVf35FUYJJK7fb3ar7aon6pFT94mxpaWnBpFxcXBzDhg07ZxNS0Mqk1NKlS4mKiuKpp55i0qRJpKamNhiTlZXFgQMHzjjAs5rejDv1AqBtG56bDq9DdVYeazQ9G2fGWEAjesvLxxNS6SOpy70NZ8+J1A26neoLfo6m6jCWbcNYtCE4dS/QT+rc/R/kbOSLTsPe/3oALLvfQ1f1Q3Cfai/Ftv5pVGcFvqiu1Ay7FwBT0SbUupKTTuTGsu8jABy9J4Pe1DE3IIQQQgghhGhTXq+XnTt3Bl+XlZWd8TndbnewD1RsbGwwKVVVVRWSDDrdynOqqp6y2bmmaRw+fDj4uqioKPjv6upqvF4ver2emJjjrUtMpsDfLi6Xq1X31lwejycYc1xcHBBIig0dOpT+/fszbNgw9PpO0L+5HbUqKbVnzx6GDRsW8kU9WWJiYsiyh6JxrsyLAAIrlrnboOG534c5/xMAnD0vBZ0Re7/r8STkoPhcgYRU2gjqBt4c0oTaH50aaAoOWHcswVj8LdC5pu6J5nOlj8adMhRF8xG95SUsO/9DzKonifv6cXSOCnzWJKqH34+nywDcybmAFkxA1TMf+BLVdRSfJQFXt5ZN0xVCCCGEEEJEjvz8/JAqpLZIStVXSUVFRWE0GomKigrmEMrKytA0jfz8fOx2O4qinHLluVP1lSovL8fpdKLT6YBAkqs+2XRiFdaJ0/46qlKq/nNgtVpDphRaLBYyMzPP+YQUtDIp5fF4sFpP3TvGbrdHVGPxSOWLyYDE3uD3Yjq05ozPZyz5Fp29DL8hCme3CwMbVT21g+/EnZyLo+dl1J13S6Orojl7TsRrS0f11GE4EsiSe+IlKXVWUhTqBtyIz5KIzlGBZf/n6GsOAeCJ703NBT9HM8cB4Oh1BRBoaK7aA6W2xsPrsOxbHtjf+6rOsTqjEEIIIYQQooG6ujr2798PQHZ24O+/I0eO4PP5mjzG4/Gwf//+YJVTY06etgaQnJwMQHFxMdu3b2f37kAbm549e54yQXOqSqlDhwJ/x3Tr1i14rfopfE1NDaxPELV3pdSJ/aRE41r1l2TXrl3Jz88/5Zg9e/aQlpbWqqDOOZkj4dA29EcLzuw8moZlX6D3j7PH+JDpVJoxitohs059vKqnbuDNxK6ZB2hoqi4wfU+clTSDldrz78K6Ywl+axKeLv3wJPZFM9pCxvlie+DpMgBD+XYse5eDqsd0cDVAoJIqbUQ4whdCCCGEEEKcIU3TyMvLw+/3k5SURFZWFoWFhTidTo4cORJMItXzer0cOHCAH374Aa/Xi6qqjBo1CpvN1uDcJ/aTqpecnMzevXtDKrH69etH9+6n7mNc34Pp5Eopt9sd7FGVnp6O2Wzm6NGjFBUVkZ6eHtJo/UQdVSklSanTa1Up04gRI9ixYwdfffVVo/vfe+89CgoKGD169BkFd86ICvyPrjqbzjI3h6FsK7raw2h6M65WNp32xXbHcWyVPm9cL9A1XP1AnD18MRnUjHiQuvNuwZ06vEFCqp6j92QATIfXH0tIKdh7X0XN0NmNVt0JIYQQQgghws/v91NUVER+fj5lZWXBJIzP5+PIkSPs2rWLI0eOoKoq/fr1Q1GUYCKqvLw85FzFxcV8/fXX7NmzB6/Xi06nw+/389133+H1ekPGaprWaEImJiYm2M9Jr9czdOjQ0yak4HhS6uRKqaKiIvx+PzExMcTExAT7XVdWVlJcXIzf78dsNjeY6VUfQ3smpTRNCybmTqwWE6FaVSl1zTXXsG7dOv72t7/xzTff4PF4AHjjjTfYvXs3u3btokePHkyaNKlNgz1rRXUBQHWcWVLKvP8LAJyZF6MZTj298lQc2VcHKmcScs4oHnH28MZl4Unsi+HITvymGGpzZ+BN7BPusIQQQgghhBCN8Hq9HDx4kP379zdYsc5kMuF2u9E0LbitZ8+ewcRNUlISBQUFlJaWBhNVTqeTrVu34vf7sVqt9O7dmy5durB69Wrsdjvbtm1j0KBBwb5NdXV1wUqq+oQSBJp89+nTh8OHD9OnT59GK6waUx+b2+3G7XYHK53qV93r1q0bAGazmbi4OKqqqti1axfQsJ8UdMz0PbvdjsfjQVXVZt/nuahVSSmz2cxvfvMbXnnlFdasWYPf7wfg/fffB2DUqFHMnDnznF7WsEXqk1KuavB7W9WfR1ddiKFiD5qiw5V58ZnFo+pxZUjjahGqdtAMjEUbcacMRTM1vciBEEIIIYQQInzKy8vZsmVLsHjEaDSSkJBATU0NdXV1wUSM2WwmPj6eLl26hLTeSUhIQFVVnE4ntbW12Gw2du3ahd/vJz4+nuHDhwf7Rw8ePJh169ZRXFxMfHx8sOrpxCqpk3tNp6WltbjVj16vx2Kx4HA4qK2tJSEhgerqampqalBVlZSUlODY1NTUkBX+Tp66Bx1TKXViTy3pt920Vncnjo6O5mc/+xk//elP2bdvH7W1tVgsFnr16iXzJVvKFIOmM6D4PKjOSvzWpBafor5Kyp1yPn5zfFtHKASa0Yar+yXhDkMIIYQQQgjRBLvdzubNm/F6vVitVnr27ElaWlpwZTqv10ttbS0mkwmz2dyggghAp9ORmJhIWVkZZWVleDweioqKgED/pxMTLHFxcfTp04edO3eya9cuXC4XKSkp7TJtLSoqCofDQV1dHXq9nry8PCDQp+rEle26du3Kjh07gq8bW9WvI3pKydS95jnjJbNsNhuDBw9ug1DOYYqC35yArq4E1VHR4qSU4qzCWLwRAGf38e0RoRBCCCGEEEKICObz+YL9neLi4rjgggsaVOjo9fpmFZEkJydTVlZGaWkpxcXFAGRkZBAT03DGRPfu3amqqqK4uJj8/PyQRdHaMiETHR1NeXk5+/btC05JVFWVnj1DF+cym80kJCRQUVFBdHQ0ZrO5wblOTEppmtZocu5MaJoWXJlQinZOTWrIIoTfEsjenrbZud+LrvognDD/11z4DYrfhzcuC5+slieEEEIIIYQQ5xRN09i+fTs1NTUYjUYGDx58RlPGkpIChRJVVVVUV1ej1+vJzs5udKyiKOTm5pKbm0vXrl2D11VVtU0TMlFRUQDBhFRqaioXXnhho4mvzMzM4JjG1CelNE0LTnNsSwUFBdTW1qKqKvHxMpPpVFpVKfWb3/ymWeMUReGxxx5rzSXOOcGk1GmanVt3v4N5/xd4EvtQ9//Z+/PoOO/zvv9+f+/ZB7Nh30Fs3MCdoiRKlq3FVhZFjarGUZu2v8epbJ/Gdn2c9vg0PVXak8Vt7W7OOc3S9NiNaz2naSw/Zp1fpDiKtdmStVLcQYIkQBDEvsy+L/f3+eMmhoQAkCAIEABxvc7RETFzzz3XDIbgzAfX9/ru/n8wnX5cV34CQLZduqSEEEIIIYQQYrO5cuUKo6OjKKXYv3//gt1Bt8LtduP3+0kkEgB0d3fPWSL3UYZhlGdFFYtFpqencTqdt13H9WpqanA6nfh8PrZv337DLqyGhgYeeeSR8uyohep1OBwUCoU5g9NXQiwWKw9Z3759+6I1CMuyQqnZtZti5ZhuK5Sy3aRTyj5jvbgdM30E3/x9CrW7MPJJTHcV+br9q12mEEIIIYQQQoh1IpPJcOHCBUZHRwHYtm3bgjOUlqO2tpZEIoHP5yt3Hi2F3W6fM3h8pXg8Hh599NElL7W7WSDmcrkoFArkcrk5OwTejkKhwPHjxzFNk/r6+lt63jarZYVSf/EXf7Hg5el0mkuXLvHnf/7nVFVV8Zu/+Zu3U9umYnqsHQFu2ClVymNLWgPmioFW7PErOMc/BCC75REwbKtdphBCCCGEEEKINVYoFOjv72doaAjTNAFryVp7e/uK3UdHRwdaa5qbm9fN7nErOftppYeda605deoUmUwGr9fL7t27V3xW1d1oRV9ZXq+XXbt28dxzz9Hf388PfvCDlTz9XW12x7wbhVK2xAhKlzCdPuIP/CvSOz6NNhyYrgC5lgfvVKlCCCGEEEIIIdbI5OQkb775JoODg5imSVVVFQ888AA9PT0rGoI4HA62b9++Yl1E681Kh1IjIyNMTk5iGAb79u3D4XCsyHnvdre9+95CPB4P+/fv57XXXuPTn/70atzFXafcKZUNW0PMF/hhYo8PAVAKtIEyyLZ/klzzYdAa7ai4o/UKIYQQQgghxN1Ka00mk8Hj8aybbpdcLsfJkycZGRkBrMHfO3bsoKamZt3UuJHMhlK5XG5Fzje7hLKrq2tFdx28261KKAVWW100Gl2t0991THcIUCiziMon0K75W23OhlLFwLV1qRJGCSGEEEIIIcTKGh4e5syZM7S0tLBr165lhz6lUokrV64QDAaXvQub1pqxsTHefvvt8mfsjo4Ouru7sdlkhMtyzQ4gX4lOqXw+TzhsrXpqamq67fNtJqsSSk1MTPDOO+9QU1OzGqe/Oxl2THcQIxvFyMxQWiCUssWvAHNDKSGEEEIIIYQQK2tszJrlOzw8jN/vZ8uWLcs6z8DAAP39/QBUVlbS2dlJdXU14XCYyclJZmZm8Hg8dHZ2UllZOS/8SiaT9Pb2Eg6HcbvdVFRUsGfPHkKh0G09PrGyy/empqYA8Pv9eDye2z7fZrKsUOqP//iPF7zcNE3C4TDnzp2jVCrxq7/6q7dV3GZjuqswslFs2QglOuZeWcpjS1jtgKWghFJCCCGEEEIIsRqKxeKcVT/nzp3D7/ff8q52pmkyPDxc/joSiXD06FEMwygPJwdIpVJMT09TWVnJli1bME2TdDpNMplkYmICrTU2m409e/ZQWVm5boaOb3SznVIrsXxvcnISgLq6uts+12azrFDqjTfeuOH1jY2NPPnkk3zqU59aVlGbVclThT06gJGZmXedLTlqDTl3VGC6V2aLTyGEEEIIIYQQc4XDYUzTxOv1EgqFGB0d5fjx4zz44IO43e4ln2d6eppcLofT6eSBBx7g8uXLXLlyhVKphMvlora2lpqaGsLhMMPDw0QiESKRyLzz1NXVsXPnTrq6uhgbG0NrvZIPd9NaqU6pUqnE9PQ0APX19bdd12azrFDqD//wDxe8XClFRUWFtKst07Vh5/N/ENljV4ecB9sWHIIuhBBCCCGEEOL2zS7FqqmpYfv27SSTSeLxOB9++CEHDx5ccjB15Yo1fqW5uRmPx8OOHTvo6uoil8tRUVFRXqrX0NBAZ2cng4ODTE5O4nK5qKioKIdiVVVVMsh8FVw/6FxrvezneGZmhlKphNvtxu/3r2SJm8KyQqna2tqVrkMAptsafLdQp9RCQ86FEEIIIYQQQqwcrXW566WmpgabzcaBAwf42c9+Rjwe56233qKnp4fGxsYbnieTyZTDrZaWlvLlDocDh8Mx73i3282OHTvYsWPHCj4acSOzoZRpmpRKJez25Y3cnl26V19fL+HhMshi1HVkdlneQp1StnIotbwBe0IIIYQQQgghbiyVSpHJZDAMozxDyuPxcP/99xMIBCgUCpw4cYLjx4+TzWYXPc/sLKmqqioqKmTH9PXIbreXdy9c7hI+rbXMk7pNS4oCbzZD6kYefvjhZd92szE9V0OpTPgjVxSwJWXIuRBCCCGEEEKsptkuqcrKyjmdMz6fj8OHD5d30xsfH2d8fJxgMEhtbS21tbUEAgGUUpimycjICACtra1r8jjE0jidTjKZDPl8Hq/Xe8u3j0aj5PN57HY7lZWVq1Dh3W9JodRiu+0thYRSS1cOpQopKObAbu0GYEuMokwZci6EEEIIIYQQq+n6pXsfZRgG3d3d1NbWcvbsWaLRKLFYjFgsxsWLFwmFQnR1daG1JpvN4nA4ZPD1OudyuchkMsvegW9iYgKwuqRkV8TlWVIo9YUvfGG16xCAtnvQdg+qmMHIhjF91jrl2XlSpUCrDDkXQgghhBBCiFVQKpUIh61VKzeaoxwMBjl8+DC5XI6pqanyf9FolKNHj5bDiebmZgkq1rnb2YFPlu6tjCWFUo888sgqlyFmlTxV2BMj2DLXQqnyPKmgzJMSQgghhBBCiNUQDocxTRO3272kOVAul4uWlhZaWlrIZrMMDg5y5coVSqUSMHfAuVifrt+B71aUSiXOnTtHOp3GMIwFO+vE0ixvvLxYNaanChIjGNlrc6XssdlOKZknJYQQQgghhBCrYXbpXm1t7S3voja7e15nZycjIyO4XC58Pt9qlClW0HI6pTKZDMePHycWiwGwffv2Ze/cJySUWnfKO/BlZq5eUMSWtIbkFQMyJE8IIYQQQgghVsPU1BSw8DyppXI6nXR0dKxUSWKVuVzWHOelhlLhcJhjx45RKBRwOBzs27dPuqRu07JDqenpaX7wgx9w6tQpwuEwxWJx3jFKKf7P//k/t1XgZvPRHfgcM31Xh5x7MT3yYhdCCCGEEEKIlRaLxUin0yilqK6uXutyxB1yq51Svb29FAoFgsEg+/fvx+PxrGZ5m8KyQqmJiQn+9b/+16RSKVpbWykWi9TU1OB0OhkfH8c0TbZs2bKkdbhirnKnVDaMkZmh4tR3ACjUH5Ah50IIIYQQQgixCi5evAhAY2OjLMXaRGY7pZYyUyqVSpFMJlFKcejQIRwOx2qXtyks62/bCy+8QDqd5t/+239LT08Pf//v/30effRRPv3pTxMOh/nWt77FyMgIv/3bv73S9d71Sh4rlbelJvF9+CcY+STFQCupnc+scWVCCCGEEEIIcfeJRqNMTU2hlKKrq2utyxF30K10Ss3utFdVVSWB1Apa1v6Up06d4sCBA/T09JQv01oD1jfon//zfw4gS/eWwXRXAmDkE9gTI5iuAMmDXwCbc40rE0IIIYQQQoi7z2yXVFNTk6z22WRmQ6lCoYBpmjc8dmJiAoD6+vpVr2szWVYolUgkaG5uvnYSw5jT7uZwONizZw9Hjx69/Qo3Ge0Kog2b9WfDTuLAb5SDKiGEEEIIIYQQKycSiTA9PS1dUpuUw+Eo77R4o26pXC5HNBoFoK6u7k6UtmksK5Ty+/1zQqhAIFDeqWCWzWYjnU7fXnWbkVKU/C0ApHb/P5RCsnODEEIIIYQQQqyG2S6plpYWvF7vGlcj7jSl1JKW8M3mHYFAALfbfUdq2yyWNVOqsbGx3LoG0NXVxYkTJ5iYmKC+vp54PM4777wjbW3LlDj4BYxcnFKgda1LEUIIIYQQQoi7UjgcZmZmBsMw6OzsXOtyxBpxuVzkcrly483saCJ13UZjs/mHdEmtvGWFUvv37+eFF14glUpRUVHBL/3SL3H06FG++tWv0tLSwvj4OOl0ml/91V9d6Xo3Be0KUnIF17oMIYQQQgghhLhrXbp0CbC6pDwezxpXI9bKbKdUf38/Fy9eJJFI4Ha7ue+++/B4PBQKBWZmZgCZJ7Ualrx8Lx6Pl//8cz/3c/zO7/wOhmHdfNeuXfzmb/4mtbW1DA0NEQwG+Sf/5J/wqU99auUrFkIIIYQQQgghboNpmoTDYQBaW2WFymY2uxwvGo0Si8UwTZN0Os3Ro0cpFAqMj49TKpXweDz4fL41rvbus+ROqd/4jd/gnnvu4bHHHmP//v1s3bp1zvUPPPAADzzwwIoXKIQQQgghhBBCrKRoNEqpVMLpdErQsMm1t7cD1jI+v9+Py+Xi2LFjJBIJjh8/TnV1NWB1SV2/pE+sjCWHUhUVFbz33nu89957VFZW8sgjj/Doo49K+5oQQgghhBBCiA1ldjlWdXW1BA2bnM/nY/fu3XMuu+eee3jvvfeYnp4mmUwCMk9qtSw5lPrTP/1Tjh49ymuvvcaxY8c4cuQIR44cYdeuXTz66KPcf//95bWYQgghhBBCCCHEenV9KCXERwWDQfbt28exY8cAa+5UKBRa26LuUksOpQzD4N577+Xee+8lFovxxhtv8Prrr3PmzBnOnDnD//yf/5OPfexjPPbYY7JzgRBCCCGEEEKIdalQKBCNRgEJpcTi6urq6Onpob+/n6ampvJMbbGylrX7XjAY5Jd/+Zf55V/+ZS5cuMCrr77K22+/zd/+7d/yt3/7t7S1tfHJT36Shx56SNbnCiGEEEIIIYRYN2YHnFdUVMiue+KG2tra2L9/f7mzTqy82476tm7dyj/9p/+U//E//gdf+tKX6OnpYWhoiD/7sz/jN37jN1aiRiGEEEIIIYQQ4qby+TyDg4MUCoVFj5Gle+JWuFwumTu2ipbVKbUQp9PJJz7xCUKhEMVikfPnz9/wB4EQQgghhBBCCLGSTp8+zeTkJLFYjH379i14jIRSQqwfKxJKTU5O8vrrr/PGG28wPT0NWH/BH3nkkZU4vRBCCCGEEEKITSyXy+F0Om/YsRKNRpmcnARgbGyM9vZ2gsHgnGNSqVR5N7WqqqrVK1gIsSTLDqXy+TzvvPMOr732GmfPnkVrjd1u5/Dhwzz22GPs3btXWtyEEEIIIYQQQixbLpfj7NmzjI+P09bWRk9Pz6LHXrx4EbA26TJNk76+Pu699945n0snJiYAa06yw+FY3eKFEDd1y6HU+fPnee2113j77bfJZDIAtLa28thjj/GJT3xCBpsLIYQQQgghhLgtWmvGxsY4e/ZseSzM0NAQzc3N87qfACKRCNPT0yilOHToEB988AHhcJipqSnq6urKx42PjwOydG+90gUTxnPQ4EI5ZLe7zWDJodQPf/hDXn/9dUZHRwHweDx86lOf4tFHH6W7u3vVChRCCCGEEEIIsXlorTlx4kQ5QAoEAjidTqanpxfsfgK4cOECAM3NzVRVVdHe3s7AwAB9fX3U1NRgGAZaawml1jGdLKLfi0CyiOqqgF2BtS5J3AFLDqX+9//+3wDs3LmTxx57jMOHD+N0OletMIAjR47w53/+5zzxxBP8+q//OmD9gHrhhRd45ZVXSCaTbN26lc9+9rO0traWb1coFHj++ed56623yOfz7N69m8997nPyg0cIIYQQG0Jvby9/+Zd/yaVLl4hEInz1q1/lvvvuK1//R3/0R7zxxhtzbrN161b+3b/7d+Wv5f2QEGKjGhsbY3x8HMMw6OrqoqOjg1wux09/+lPC4TCTk5PU19eXj5+ZmSEcDpePB+js7GR4eJhUKsWlS5fw+XxEo1Gy2Sw2m41QKLRGj04sRM/k0O9HIW9aX49loccvI4E2gSWHUk899RSPPfYYDQ0Nq1lP2cWLF/nxj3/Mli1b5lz+wx/+kBdffJEvfvGLNDY28oMf/ICvfe1r/MEf/AEejweA73znOxw9epSvfOUr+P1+vvvd7/L1r3+db3zjGxiGtAAKIYQQYn3L5XK0t7fz6KOP8l/+y39Z8Jj9+/fzxS9+sfy13T73bZ28HxJCbESlUonz588D0NXVVQ6ZPB4PHR0d9Pf309fXR21tLYZhUCqVyl1SLS0t5c+Edrud7u5uent7y9cDuN1uqqursdlsd/iRicXooTT6ZBxMDSEHxIuQLkGyBP4V2ZtNrGNL/g7/w3/4D1ezjjmy2Sz/7b/9N/7pP/2n/OAHPyhfrrXmpZde4umnn+b+++8H4Etf+hKf//znefPNN3n88cdJp9O8+uqrfPnLX2bv3r0AfPnLX+YLX/gCJ0+eZP/+/QveZ6FQKK9VBlBKlX+grWY6O3vujZgAS+1rYyPXDhu3/o1aN2zs2mFj1y+1r42NXPusAwcOcODAgRseY7fbF/1Nv7wfunOk9rWzkevfLLXH43FOnz5NqVSac3mpVKJUKmGaJo2NjfT09JTD8qGhIbLZLG63m46Ojjn3M9v9lE6nGRgYQCnF5cuXyefz2Gw2urq65hzf2trKyMgI8Xgcv99PMBhky5YtuN3uDffcb+TXDCxev76YRPfGreuaPagDIfR7YfRUDjWZQwXWdhj9Rn7eN0rt6zJ2/Na3vsWBAwfYu3fvnFBqcnKSaDTKvn37ypc5HA56enro6+vj8ccfZ2BggFKpVH4DBtZWn21tbZw/f37RN2FHjhzh+9//fvnrjo4OvvGNb1BbW7vyD3ABd6oDbTVI7WtjI9cOG7f+jVo3bOzaYWPXL7WvjY1c+1L09vbyuc99joqKCnbu3Mmv/dqvlYf/yvuhO09qXzsbuf67vfb+/n5yudyC1xmGgWEYTE1NcenSJR588EHy+Tyjo6O43W4OHz5MS0vLvNsdPnyYd999l+Hh4fJ5qqurOXjw4JyRLrP+3t/7e5imedd0Rm3k1wxcq19rTebkFOn+PLjcePbU4D1Yh1KKTNxFKj6OI2Un2Ni4xhVbNvLzvt5rX3eh1FtvvcWlS5f4D//hP8y7LhqNAszbbSEYDDI9PV0+xm63z9sFMBgMlm+/kKeffponn3yy/PVsmjg1NUWxWFzOQ1kSpRQNDQ2Mj4+jtV61+1kNUvva2Mi1w8atf6PWDRu7dtjY9Uvta2Ota7fb7ase4hw4cIAHHniAmpoaJicn+Yu/+At+7/d+j69//es4HA55P3QHSe1rZyPXvxlqLxaL9Pf3UyqV2LNnT7nrEqyfk4ZhkEwmOXnyJOfPnyeRSOBwOEgkEgQCAdxuN2NjY/PO6/F4cLvdRKNRAoEAHR0dNDQ0YBjGgscvp/b1aD3VrrWGeBE9nkWFHKh6942Pz5lwJU1lVRVRM4n229H9SfTFJABqh59Ck0n86hB67Sxi5rJkh3Kkhpxrugvfenreb9Va177U90PrKpSanp7mO9/5Ds8999wNh6jPa/lbwhN8s2McDgcOx8KtgXfiG6i13nAv8llS+9rYyLXDxq1/o9YNG7t22Nj1S+1rYyPXfjMPPvhg+c9tbW10dXXxxS9+kQ8//LA84mAh8n5o9Ujta2cj13831z45OUmpVMLr9dLU1LTgEiKfz4dhGBw/fnxOoLR9+/byfSzk0KFDZDIZfD5f+by38jzezc/7qt53ughXMuiRLCStX1RoBWp/CNXqWfg20zn0h1HImaRceUq5LFxXvtoVQHVVzH1MXhv47JAooiey0Lzwue8kec2snnUVSg0MDBCLxfhX/+pflS8zTZOzZ8/yox/9iD/4gz8ArG6oysrK8jHxeLzcPRUKhSgWiySTyTm/HYzH4+UfbkIIIYQQd5PKykpqa2vLH+rk/ZAQYq3N/jxqaGi44Uyburo69u/fz/HjxzFNk7q6upvuEmq32/H7/Star1icThbhQhI9nLkWKNmUFRzFCujjUYA5wZQ2NZxPoi8kQYPy2XE2+8kNF9GpIihQewKo9ooF71PVu9CJIkzk1kUoJVbPugql9uzZw3/+z/95zmV/8id/QlNTE0899RT19fWEQiFOnjxJR0cHYLWF9vb28o/+0T8CrOF3NpuNkydPln+LGIlEGBoaKh8jhBBCCHE3SSQSzMzMlH9pJ++HhBBrqVAolMerNDU13fT4uro67rnnHsbGxuju7l7t8sQS6bwJp+PokevCqFonqsULDS6wKzgZR19OW8GUqcFlwHQePZkrd1OpNg9qT5BAazOpMQdmoQRFjXLfYM5XvQsupqzzaL3uh3WL5VtWKHXx4sUl/bD467/+a37xF39xyef1eDy0tbXNuczlcuH3+8uXP/HEExw5coTGxkYaGho4cuQILpeLhx56CACv18tjjz3G888/j9/vx+fz8fzzz9PW1jZn2KcQQgghxHqVzWYZvzpbA6xlMIODg/h8Pnw+H9/73vc4fPgwoVCIqakp/vzP/xy/3899990HyPshIcTampiYwDTN8s+spaiurr5ph5S4c7TWcCyKnrAG1at6F2zzoSrnjtnRewMosIKpE7G5J3Eo1N6gtavedaGSshs3TyIqneAwIG9CpABVi4/3udvpWAESRWjeeLtGLsWyQqmvf/3r/P7v/z6NN5iE/9d//dd85zvfuaVQaimeeuop8vk83/rWt0ilUnR3d/Pcc8/NGZz3mc98BpvNxje/+U3y+Ty7d+/mt37rt8rbjAohhBBCrGf9/f387u/+bvnr7373uwA8/PDDfP7zn+fKlSv85Cc/IZVKUVlZya5du/jN3/xNeT8khFgXZpfu3ejzoljnLqetQMpQqAeqUNULh0JKKSuYMkBfSkOFDVXjglon1LhQzuX9m6MMBXVOa37VRG5zh1IfRCBVQk160PuD1nNzF1lWKGWz2fja177G1772tTmznWb96Ec/4jvf+c6KtF7+zu/8zpyvlVI888wzPPPMM4vexul08uyzz/Lss8/e9v0LIYQQQtxpu3bt4nvf+96i1z/33HM3PYe8HxJCrIV8Ps/MzAwgodRGpRNF9JkEAGqnf9FAapZSCvYEYaff6oJaKXVuGMmiJ7KonZtzhphOFyFVsv48nEEVTfQ9lSjb3RNMLesV86//9b8mnU7z7/7dvyOVSs257uWXX+bP/uzP6O7u5rd/+7dXpEghhBBCCCGEEOvf7NLjYDCI1+td42rErdKmtnbLK2modUHn0r+HKxpIAdS5QAHxIjpdWtlzbxQzBev/HhvYFHo8h343jC6aa1vXClrWq2bLli38y3/5LxkfH+cb3/gG+XwesAKpb3/723R1dc1bUieEEEIIIYQQ4u4mS/c2uHMJiBXAaaAOBNd0hpFyGdeW7U1k16yONTVzdaZXsxt1f6U1XH46j35zxtqd8C6w7Chz586dfOUrX+HChQt885vf5Ec/+hHf/va36ezs5Ld/+7clFRdCCCGEEEKITSSZTBKJRABoaGhY42oEWAPL9bkE+v2ItZvezY67aK2EUvuCN94d7w5RDS4A9HhujStZGzp8tVOq2omqcaEerLJ2OIwX0T+ZRg+lraH0G9ht9dfde++9fP7zn+fDDz/kz/7sz+jo6ODf/Jt/I4GUEEIIIYQQQmwyFy5cAKC+vh63273G1QgA+lPo80n0WNYKpkrzAwxtajgZR59PAqC2+1CN6+T7V3+1jpkcurBxl6zpokYni9ZzvdTbZEuQLFpLGK92jKmQE/VwjbW0sqTRx2PwYXTB7+tGsaRB5729vYte19DQwD333ENfXx+/8iu/wuDg4Jzre3p6bqtAIYQQQgghhBBro1Qq0d/fTzabpaurC5/Pt+Bx0WiUiYkJALZu3XonSxSL0BNZ9FlrYDmGgpk8HI+iD4bKy/J00bRCjfEcKFB7Aqj2ijWsei7ls6P9dkgUYTIHzRtnRJC+nEYPZyBVhKwVqKl6F/q+yqUti5yxxiQRcKAc1/qJlNsGhyvhYgrdl0CPZFH+FGxb+O/merekUOr6LYlv5D//5/8877K/+Iu/uLWKhBBCCCGEEEKsuXQ6zfHjx4nH44A1L6qtrW3BHdhnu6Sam5sXDa7EytNaQ7gA41mwKWhyg98OyZI1sFyD2uKFJrc1IHski/Im0Fu8cDmNvpyBvAk2hToYWj8dUtdRDS5rftJ4dsOEUjpXQp+KwUeau/REDjWWhaYlPI6rodRCux8qpWCrDxwG+mQMPZpB3c2h1K/8yq+s6YAzIYQQQgghhBB3zvj4OKdPn6ZYLOJwOAgGg0xPT3P58mXC4TAtLS20trZiGAbT09PMzMxgGAbd3d1rXfqmoHMla2neaBau35nufNIKpUoaChqqnbAngDIU7Auij8XQF1JwMQWzK768NtSB0ILhx7rQ4IYLKfRkDkxtPZb17krGCqSCDtS+AHjtMHB1KeWZBNS55uxWOLub3pzLwlc7pW70fWlyw+m4NWMqUUT5lxTxrCtLqviZZ55Z7TqEEEIIIYQQQqyRZDJJOBwmGo0SjUZJp9MAhEIh9u/fj9vtZmZmhr6+PvL5PGfPnmV4eJhdu3aVu6RaW1tlB/Y7QGuNfj9idUgB2BWqwW3NGJrIWUvdwAqbDoXKIY5q9UK6hO5LWoFUrdNaqtfgWt9NKCEHuA1rCdx0Hupca13RDWmt0UMZAFSHFxWyQiW91QfDGStEvJCCnX7r8vGs1dXmNOATNSingc6ZEL/6faxyLHpfymmga5zW0saxDPj9q/rYVsPGi9GEEEIIIYQQQtw2rTXhcJhLly4xPT097/qOjg62bt2KYVjdG9XV1Tz44IOkUineeecdEokE77zzDgA2m42urq47Wv+mNZO3AimbQh0IQr0bZbsaKhVMa5lbuACdFSjXR3bQ2+ZDVTnBbdswXTVKKah3oy+nrce2SCilRzLWc9Jw4yWIOl1C/2wGVetC7QveUi26YEJJ33hnwnDeGlBuv7qccvZx2BTsDqDfi6D7U9DqgYksujdhhYTFEpyJw4GQdQ4Av33+9/AjVJMbPZlDj2ZR2zZJKHXu3DneffddnnrqKUKh0Lzro9EoP/zhD3nggQfYtm3b7dYohBBCCCGEEGIFTU9Pc+HCBWKxWPmy6upqQqEQoVCIYDCI07nwLJutW7ficDjo6+tjZGQEgPb29gWPFytPX0wBoFo9qI/MJlIOA1q90LrwbZVS1s5tG02Dy5qBNZEDred1dulwHn00ag10/4W6Ocvg5jmfsDrGhtJWSOdZPPTRpiZzZgbzYhgdK1hdTgo4GEItNt/q8tUuqWbP/DrqXVaoNplDvzUDuavL9hrdVsfUlYw1N+sG86TmaXCDEbvlJXxaaytgu9FzdQcsK5T6q7/6K4aGhvjMZz6z4PWhUIgPP/yQcDgsoZQQQgghhBBCrBOlUokLFy6Ud003DIOWlhba29vxer1LPo/L5WLPnj20tLQQj8dpbV0kBRErSscL1lItBXStn13yVl2Ny+o8ypQgVrSW9F1H9yWtP5jaWr5YuXCYo5NFK/gBqztpNANdiw8I130JUkMRdC57bQaXBn0sBi4DVTM34NN5Ez2Wtb5omx9aKaVgTwD92rQVSClQPQHo9KLOJNADKfTJmDW0Hm48T2r2nE4DXeOat4RPm5rcUBydLYLvWvCmtYbxHPpiEuUy4L6qm97HalpWKNXf38+ePXtueMzOnTs5efLksooSQgghhBBCCLGykskkJ06cIJFIANDW1kZ3d/dtdThVVlYuuBufWB36ohW+qEY3qmJjLL9bCcpmdXjpsay1hO+6UEqH8zCVu3ZwfPFQivNX52k5FBQ0ejiLWiSU0tmStczO4UJ1+6DWaQ2RPxlHj2XR70fhY1WowHUB2UjGGjIfsM8LzsqPpcJuLeO7lELt9JeXG+odPuuxXT+4vmppfzc/uoRPaw3HYiSmI5i5LAQcqGY3OA3rMV2dO6ZtCnKlmy4RXE3LehXH43Gqqm6cpoVCoTmtoEIIIYQQQggh7jytNSMjI/T29mKaJk6nk927d1NXV7fWpYlbUErm0SNXu3C6F+/uuWs1uGEsi76UhmZPeZlauUvKUFanVLyw4M11omDNnQLUoUr0u2GIFRZf8taXBFNjr/OS33mtI0ofDME7YZjJo9+NwMeqUV7b3AHnbd4bDo9X7V5U+9zORGU3rB0S3w5bF1TYbri0cI6PLOGjP2k9VrcblLIeZ+y658WhrCH3nd41DaRgmaGU1+tdcBDe9aampnC7bzxgTAghhBBCCCHE6ikWi/T29jI6OgpATU0Ne/bsweXagHOFNrlsbxi0tnbNW6QL567W5IbLTgjnrUDpoWpIlawuKQPUtgr0uSQ6XmTBOOic1SWlGt2oWhfUWXOcGM6Ud8KbpRNFa+YUUHFPHRkzbnUfcbVr695KayZUooh+ZRLts6MqbBCzBtDTsrxdKFWtC9o86KGM9eel3u66JXz63XB59pX/4RbyJNGjGSukypmoVg+0e635Y+vAskKpbdu28d577zE9PU1NTc2866enp3n//ffZvXv3bRcohBBCCCGEEOLWpVIpjh07RjJpdZJs27aNjo6OG3ZwiNWhtbZ2xBvPWjvk9QRQzqWHAjpvkr0QB1h0udndTtkU3FeJfnMGkkWrS8luvZZVqxfq3VbwlCiiPzIMXccK1tI/Bey4+vy1uGE8a4U1O3xz/16cS5QDLEd9BYzF59biNOD+KisAShSt+7y6JE41uG7pezvP3qAVSN3iQPrZJXyzgZRxIISrPYgaS1shVPvSZ8bdScsKpZ588kk++OAD/s2/+Tf8g3/wD9i7dy+VlZVEIhFOnDjBX/zFX5DP53nyySdXul4hhBBCCCGEEDcxNTXFiRMnKBaLuFwu9u3bd9MRLGJlWUFUHoazVkfO1Z3WAGvu0QNVc7pVdCQPI1krQPBd+6iuSxo+iKALyppfVLt5dzm0wqCrwdTscjRDwVYfuAwrdMqbkDXh+qVv56/O4mr2oPxXu8zq3VaolS5ZgeHVoeI6nC8HWOojHVRzavHa4JEa6/saL1rLBrPmbQ+gV4ayduC7VQ1usMWtHfX2BK2gbgNYVii1c+dO/sk/+Sf8r//1v/jjP/5jwJoiP9vOZhgGv/7rv05PT8/KVSqEEEIIIYQQYo5MJoPNZisPK9daMzQ0xNmzZwFrEPn+/ftlud4dpDMluJJBX0lby8tmOQxUvcvqZokW0O9F4P5Ka7nXQAp9NgEmcCUDh0KoWpf1GfvDKHo6h/J5Ufv91oygTUxV2K1g6q2wFcC0eayACNA+u9W5FC+UQyld1OiJq4PQu68FRsqmoNFt7cY3nIFqp7Vs79TVjrTW6wKsxWpRCtw267+6tf07ppwGPFBlPSe32GW1lpY9rv8XfuEX6Onp4eWXX6a/v590Oo3X66W7u5vHH3+ctra2laxTCCGEEEIIIcR1pqenOXr0KFprgsEgtbW15HI5rly5AkBLSws9PT0YxvqYHXM30yUNE1lr0PVUztrhDcCuUE1uq/Ol2ml1wcQK6J9dHZT9fhRlcC00cRmQM9HvhGF3wFoWNpYFm8L/WBt5rs022sxUyAmHK2E4CzuudTOpgN1aRhcvQv3VC8N5awC6x2btnne9Fo8VII5lQWsroNJYHVTbF++SWq/UEnfrW09uaw/JtrY2Pve5z61ULUIIIYQQQgghliCfz3Pq1KlyQBGLxebsfr59+3ba29tlftQq0ekiRApW+JEoosN5a9nYrGonqs0DjW5rV7XrqKDD6vR5JwxTOSu/sinULj+0euFkDH0lU+7YQYFxMISzcf5so81MVbug+iMdQQGHtQTy+h34pq3AT9U65/99qHGC24CseW3nvEY37PAvfec7cVtuK5QSQgghhBBCCHFnaa05ffo0uVwOn8/HwYMHCYfDTE1NkUql2LZtG3V1dWtd5l1LT2TR70espXbX89hQLR5o9cyZCbUQVeW0hna/FwG3DXVPyAqrAL0/iPLbreV8GtSeAKppebu5bToB63m/fgc+PZW3/lAzf0mbUgo6KqznusaJ2ulHVW68bqON7LZCqb6+Pl5//XUGBwfLy/e2bNnCI488wo4dO1aqRiGEEEIIIYRYMtM0OX36NPl8noaGBurq6sozlzaa6elpTpw4QVVVFVu3bsXn8zEyMsLk5CSGYbB37168Xi9er5eWlpa1Lndd06kisZcHMc2stfNapWPRTjKttTWbyGe3ltxddw79YcwKpIIOVMhhBSEBB1Qtfr6FqBoX/Fyd1SV13e2UUtDtswZvFzfWfKA1F7g6AypVtJZUFvW1geiLDYjvrkBt8YJDSWfhGlh2KPXd736XF198sfz17KDzgYEBXnvtNZ544gk+85nPrEiRQgghhBBCCLFUIyMjjI6OAlaoYxgG1dXVbN++HZ/Pt8bVLZ3WmgsXLlAoFJiYmGBiYoKmpiYmJiYA2Lp1K4FAYI2r3Bh03oR3whSKdnQuC4MpqLBZy+XavdaQ6NljMyX0sShM56HKAfdUojw2dEmjP4hCwbQCrY9VzwmsluOjS/vmXCcdO7fObYDTsJZSJouQKlqXB+wo18LL8ZRS4JQwaq0sK5R64403ePHFF2lqauJXf/VX6enpIRQKEYvFOHPmDN///vd56aWXaG9v5+GHH17pmoUQQgghhBBiQaVSiYsXLwJQX19POp0mkUgwNTWFzWZj//79a1vgLYhGo8RiMQzDoKamhsnJyXLYVlVVRXt7+9oWuA7pRBGG0tDkLoc6uqSt5XapIka1B1VroMcykCqhzyXgYhI6K6CrAqbz6BOxa/OhwgX0G9NwMARjWavrxmWgDlXediAlVp5SCu23w0zemvcVtpbuqQWW7on1YVmh1Msvv0x1dTX//t//ezyea2tbg8EgDz74IPv37+erX/0qL7/8soRSQgghhBBCiDtmcHCQXC6Hx+Nh3759GIbB+Pg4x48fnzMIfCMYHBwEoKmpid27dxONRrlw4QL5fJ69e/fKUqOP0LEC+u2wFSj1p6DZGljNuQTM5FFOg8Cn2shlIpgFP4xl0f0piBfR55MwkLKWewGEHKidfmvWULRgDSUHUKAOhmQI9jqmAnb0TB7iBfTU1V0N6ySUWq+WFUpduXKFT37yk3MCqet5vV7uu+8+Xn311dsqTgghhBBCCLG5mKaJUsub7ZLP57l06RJgLW0zDGtpVE1NDQCZTIZcLofLtf4/oKbT6fIyvdmOqFAoxL333ruGVa0dXTTnzV6ac/31gZTHBtkSeiQLo1nQgAHqUCX2kBsyV5fNtXqhxWOFU31Ja4YUoLorrN3XDAVVTuiNoy+lreu2+2XG03p3da6UnshBugSGspZhinVp2TOlZrceXYyk9kIIIYQQQohbEQ6HOX78ODabjY6ODlpaWsrB0izTNJmenmZycpL3338fm81GZ2cnwWCQgYEBisUigUCAxsbG8m3sdjs+n49kMkksFtsQO9MNDQ0BVqC2keZgrQY9mkEfjVphw9YKaHTP+bypZzuZ8ldnPR2ugnQJ3ZuAq50yam9wwTBJKQVNHmh0w2QOnMacWU7KpmBPEOrdVsCxRXbBW/eu7sBH8uo8qUrHDWd3ibW1rFCqtbWVd999l3/wD/4Bbrd73vWZTIZ3332X1tbW2y5QCCGEEEIIcfcbGxvj1KlTmKY1y6e3t5eBgQHa2tpQSpFOp0mn08RiMYpF68Om2+0mm80yMTFBTU0N4bC1xGrbtm3zfkkeCoVIJpNEo9F1F0qNjIxw+fJlWlpaaGlpwTRNhoeHAdiyZcsaV7e2dLqEPhG3up1iBWvQuN9uLc1LldCxgtXhpLF2v7u/CuUwIGjA4UprplAJ1E2WbymlrOBpsetl+dfG4beDwnpNAGqxXffEurCsUOrxxx/nT/7kT3juuefKg84DgQDxeJze3l5eeOEFZmZmeOaZZ1a6XiGEEEIIIcRdRGvNpUuXOH/+PGANJ6+qquLSpUtks9ny5ddzuVw0NDSwbds2ent7GR0dZXp6GoDq6urycr3rBYNBhoeH191cqWKxyNmzZykWi/T29nLlyhWCwSDFYhGfz7fgY9kstNbo49Fru93VuqxldIki+lxy7sG1TtS9lXM6YpRSUC1h0maj7Abaa4NUybpAhpyva8sKpR555BEGBwf567/+a775zW8CYBhG+bcaAL/wC7/AI488siJFCiGEEEIIIe4epmkSjUaZmZlhenq6HBS1t7ezfft2lFK0trYyPDzMxMQETqcTj8eD1+vF7/cTCAQwDIPGxkbsdjtdXV0MDAyQSCTYuXPngvcZDAYBiMViaK3XzbiR4eFhisUiLpcL0zRJJBIkEgnA6pJaL3WuiYE0TOetWVIHQ6gKu7VD3mAa4gXw2SHosP5zG5v7uRJzqIADnSqBXUFI5kmtZ8ueKfXrv/7rHD58mNdee43BwUEymQwej4eOjg4efvjhRf8xEEIIIYQQQmxOWmuGhoa4cOFCeQnerJ07d85ZqmYYBm1tbbS1td30vF6vl927d9/wGJ/Ph81mo1gskkql1sWcJtM0yzvsbd26lbq6Ovr7+xkaGsLtdtPU1LS2Ba4hHS+gz1nhnNoVsAIpsJbmbV37751Y54J2GANV47IG1ot1a9mhFMCOHTvYsWPHStUihBBCCCGEuEtlMhlOnTpVnvvkdDqprq4uL7dbaFbtSjIMg2AwSDgcJhqNrotQamxsjGw2i8vlorGxEZvNxs6dO+nq6gLAZrOtcYVrQ8cK1mDzkkbVu2S4uLh1HRWogoZ271pXIm5iWaHU97//fXp6eujp6Vn0mHPnznH69Gk+/elPL7s4IYQQQgghxPqTzWYZGBggHo/jcrlwu914PJ4Fd4rTWjMyMsK5c+coFosYhsH27dvLA8zvpNlQKhaL0dLSckfv+6NmZ2mBtUzv+gDK6dycg5l1UcOFBPpiyhpS7TJgX1CW5YlbphwG7AqsdRliCZYVSr3wwgvlAeeLOXfuHC+88IKEUkIIIYQQQtwlCoUCly5dYnBwcM482eu1tbXR3d2N0+kkmUzS29tb7o4KhULs2bOHioqKO1l22fVzpdba2NgYiUQCm80mu5YDOpJHfxgtD6dWTW7YHUC5N2e3mBCbxW0t37uR2d+CCCGEEEIIITa+SCTChx9+SKFQAKyAqa2tjWKxSCaTIZFIMD09zdDQEGNjY9TV1TE2NoZpmhiGQXd3N+3t7Wv6GSEUCgGQSCQolUprujzu7NmzALS2tuJwbO5BzDqSR78dhqIGjw21J4BqWN3lnEKI9WFVQqlisci5c+fKv4kQQgghhBBCbFzZbJZjx45RKBTw+Xxs27aN2traecuqwuEwZ8+eJZFIMDIyAkBtbS09PT14PGs/F8jtduNyucjlcsRiMaqqqtakjng8zsTEBIZh0N7eviY1rBc6VkC/E7ECqRon6r5KlF2aG4TYLJYcSv2zf/bP5nz94osv8vrrr887bnYb03w+zyc/+cnbLlAIIYQQQgixdkzT5MSJE+TzeXw+H4cPH8ZuX/hjRFVVFQ888ADDw8NMTk7S2tpKXV3dupoJFAqFmJiYWNNQamJiAoC6urpVH/C+nul4weqQKphQJYGUEJvRkkMprfWSLrPZbLS0tLB7925+5Vd+5faqE0IIIYQQQqyp8+fPE4lEsNvtHDhwYNFAapZhGLS1tdHW1naHKrw1wWCwHEqtlZmZGQBqamrWrIa1pE0NIxl0bwLyJoQcqPslkBJiM1pyKPVHf/RH5T///b//9/mlX/olGWIuhBBCCCHEXWx8fJzBwUEAdu/evWYDylfS7FypaDS6JvdfKBSIRqO4XK5NF0pprWE0i+5LQrJoXRh0oA5XWbulCSE2nWXNlPrDP/zDu+IfJCGEEEIIIcTC8vk8p0+fBqC9vZ2GhoY1rmhlBALWNvHZbJZEIoHf77/h8YVCAa01TqdzRe4/HA6jtcbv9+PxeBZcfXI30lrDexH0RM66wGmguiugvQJlXz/LO4UQd9ayQqna2tp5l5VKJYaGhgBrB4mbtfUKIYQQQgghLKZpks1mSafT+Hy+dTFn6OLFixSLRQKBANu2bVvrclaM3W6nqqqKcDjMu+++y+7duxcN3HK5HD/72c8wTZOPf/zj84IprTWZTIZ8Pl/+LxgM3jDoml26d7eEfEs2mLYCKZtCba2AjgrpjhJCLD2Umpyc5PTp0+zYsYOmpqY51x09epT//t//O/F4HACfz8dnP/tZHnzwwZWtVgghhBBCiLuE1pqBgQFGRkbIZDLljhmn08nhw4fxer1zjh0eHiabzdLc3DznutWQSqW4cuUKANu3b8cw7q7wYO/evZw4cYJIJMLx48dpb29n27Ztcx6n1pozZ86Qy1mdPUNDQ3R3d885z8mTJxkbG5tzmc1m4/777y93ZH3U9PQ0AI2NjSv5kNY1nSpa86MA1eNHdciqGyGEZcn/uvz4xz/mT//0T3E4HHMuHx8f55vf/CbxeJyamhqam5tJJpP8t//237h06dKKFyyEEEIIIcRGVywWOX78OBcuXCCdTqO1xjAMHA4H+XyeDz74gGw2C1jhyNmzZzlz5gz9/f385Cc/4f3332d8fBzTNFelvvPnz6O1pra2lurq6lW5j7Xkdru599576ejoAGBwcJD333+ffD5fPmZsbIzJycny10NDQ5RKpfLX0Wi0HEh5PB6CwSAVFRWUSiWOHj1KJpOZd7/pdJp0Oo1Sirq6utV6eOuK1hp9PAYlDTVOaF/dQFUIsbEsOZTq6+ujvb193tK9l156iUKhwM///M/zR3/0R/zX//pf+Rf/4l9gmiY/+tGPVrxgIYQQQgghNrJsNst7773HxMQEhmHQ09PDI488wuOPP85DDz2E1+slnU5z9OhRstksx48fL4/JqKysBKwlYMePH+e9994rh1crJRKJMDExAVhdUncrwzDYvn07Bw8exG63E4lEePfdd8lkMmSzWXp7ewHo7u7G7XaTz+cZHR0FrKDl/PnzALS0tPDwww/zwAMPcPjwYfx+P7lcjqNHj1IoFObc5+zSvVAotGIzqta9S2mYyYNdofYHUUrmRwkhrllyKDU5OUlLS8u8y48fP47dbufXfu3Xypfdf//97Nixg3Pnzq1MlUIIIYQQQtwFMpkM77zzDvF4HKfTyb333ktbWxtutxulFC6Xi0OHDuFyuUgkEvzkJz8ph1f79+/n/vvv5+GHH6azsxO73U40GuXtt98mFovdVk3ZbNbqaNGavr4+wApbfD7fSj30dauuro77778ft9tNKpXinXfe4cSJExSLRYLBIJ2dnbS3twNWR5XWmpmZGcLhMIZh0NXVVT6Xw+HgnnvuweVykUwmOXbs2JxuttlQarPsuqdTRfTZ65bteWXusBBiriWHUvF4fF7rbiqVYmJigu7ubjwez5zr2tvbCYfDK1OlEEIIIYQQd4HBwUGy2SwVFRUcPny43Pl0Pa/Xy6FDh7Db7Zimid1u59ChQ+XB2B6Ph23btvHggw/i8/nI5XK8++675S6eWzE8PMwbb7zB66+/ziuvvMLbb79NNBrFMIx585PuZn6/f06XUyQSwTAM9uzZg2EYtLS0YLfbSaVSTE5Olruk2tra5n0Ocrvd3HPPPdhsNsLhMCdOnMA0zXKYBdyVSyIXdCF5bdneFlm2J4SYb8mhlM1mI51Oz7lsdmbU9b8dmLUedgwRQgghhBBiNWSz2fImP0ultZ6zLO5Gw8r9fj/33Xcfra2tHD58mKqqqnnHeL1eDh8+TF1dHaZpcvLkScbHx5dcTyaT4e233y4PWC8Wi+XH1N7evunez7vdbu67775yYLRt27Zyp5jdbqetrQ2A06dPE4/HsdvtdHZ2LniuQCDAgQMHMAyDiYkJjh8/TjQapVAoYLfbCQaDd+ZBrSGdN9Ej1tJStcMvy/aEEAtacv9kY2Mjp06dmnPZyZMnARbcIjYSiRAKhW6vOiGEEEIIIdaZXC7Hz372MwqFAg8++OCSd1GLx+Nks1lsNtuSOmUCgQC7du264TF2u50DBw5w9uxZhoaGOHv2LNXV1fM2J/oo0zQ5fvw4hUKBUCjEoUOHyGQyJJNJisUizc3NS3pMdxuHw8GhQ4fI5XLzQrm2tjYGBwfLc6La29tvOBeqpqaGgwcP8uGHHzI5OUkkEgGsLqm7bTfDBV3JWF1SQQdU3vj1KITYvJb80/D+++9nfHyc//E//geXL1/m3Xff5eWXX8btdrN///55x/f19ZVbjIUQQgghhLgbaK05ceIE+XwerTWXL19e8m1nu6Rqa2ux2WwrVpNSqtx5lcvluHDhwk1vc+HCBaLRKA6Hg/3792O32/H7/TQ2NtLa2ro5QpNFKKUW7BJzu900NTUB4HQ6y3OmbqSmpoZ77rkHwzDKYdZmWLqntUYPpgBQ7V7pkhJCLGrJnVJPPvkkb7/9Nq+88gqvvPJK+fJ//I//8bwf2v39/YyPj/OpT31q5SoVQgghhBBijV28eLE84No0TcbGxsjlcje9nda6vLRuNX5xa7PZ2LVrF++//z5DQ0M0NTUtumphamqqPIbj8OHD2O328hI+cWPd3d3kcjlaW1ux25f2Uaq6uppDhw5x9OhRTNOct5v5XWkqD6kSOBQ0b65loEKIW7PkUMrpdPL7v//7/NVf/RUXLlzA5/PxwAMPcOjQoXnHXrp0iUOHDi143c28/PLLvPzyy0xNTQHWrh+f/vSnOXDgAGD9g/7CCy/wyiuvkEwm2bp1K5/97GdpbW0tn6NQKPD888/z1ltvkc/n2b17N5/73Oc2xW8lhBBCCCHE6pienqa/vx+APXv2MDAwQCKRYGBg4KZjK5LJJOl0GsMwVm3nterqapqbmxkZGeH06dM8+OCD8zqewuEwx48fB2DLli20trYyNja2KvXcjWaHmN+qqqoqPvaxj1EoFOYNRr8rDVqziFWrF2XfvF13Qoibu6U9Od1uN5/+9KdvetynPvWpZXdJVVVV8Q//4T8s/wbpjTfe4D/+x//If/yP/5HW1lZ++MMf8uKLL/LFL36RxsZGfvCDH/C1r32NP/iDPyj/gP/Od77D0aNH+cpXvoLf7+e73/0uX//61/nGN76xqVuRhRBCCCHE8mQymfI81dbWVhobGykWi5w5c4YLFy7c9Jexs0v3ampqltxhsxzbt29namqKZDLJxYsX6e7uLr//nZyc5Pjx45imSVVVFdu3b1+1OsR8NxpsfzfR6RJ6whpwLjvuCSFuZvX+RVymj/6D/mu/9mu8/PLLXLhwgZaWFl566SWefvpp7r//fgC+9KUv8fnPf54333yTxx9/nHQ6zauvvsqXv/xl9u7dC8CXv/xlvvCFL3Dy5MkF51+B1V01u84brLXksyHXaq6Bnj33RlxnLbWvjY1cO2zc+jdq3bCxa4eNXb/UvjY2cu1i6fL5PA6H4458n8fHxzl9+jTFYpFAIMCOHTsAayOgvr4+kskk09PTN+yAml26V19fv6q1Op1OduzYwcmTJxkYGGBkZITW1lacTidnz55Fa01dXR379u1b0blWQpRdToMGapwo/7r7uCmEWGfW9U8J0zR5++23yeVybNu2jcnJSaLRKPv27Ssf43A46Onpoa+vj8cff5yBgQFKpVI5kAKr+6qtrY3z588vGkodOXKE73//++WvOzo6+MY3vnHH1nxv5KHwUvva2Mi1w8atf6PWDRu7dtjY9Uvta2Mj1y5ubGZmhvfff5+uri62bt26avdTLBbp7e1ldHQUgGAwyP79+8thjt1up7m5mYmJCYaGhhYNpVKpFMlkEqUUdXV1q1bvrMbGRrLZLIODg+RyOS5evFi+rrm5mV27dsnqAbEqdK6EHrq6dK+jYo2rEUJsBOsylBoaGuK5556jUCjgdrv56le/SktLC319fYD1huB6wWCQ6elpAKLRKHa7HZ/PN++YaDS66H0+/fTTPPnkk+WvZ3/rNjU1RbFYXImHtSClFA0NDYyPj2+4AZNS+9rYyLXDxq1/o9YNG7t22Nj1S+1rY61rt9vtm2OQ8RqanT06MjJCd3f3qnRLpVIpjh49SjptfcDu6uqiq6trXpizZcsWJiYmmJqaIpPJLDgvaHbpXnV1NQ6HY8Vr/SilFJ2dnbS3t5cDs0gkQnt7O9u3b5cuQrEqdLaEfjsMORO8Nqh3rXVJQogNYF2GUk1NTfyn//SfSKVSvPvuu/zRH/0Rv/u7v1u+/qP/kC7lDefNjnE4HIu+SbgTb2i11hvuTf8sqX1tbOTaYePWv1Hrho1dO2zs+qX2tbGRaxc3lkpZW81ns1lSqdS8X0bermg0ytGjR8tDqffu3UtlZeWCx1ZUVNDQ0MDg4CAXLlxg586dc95T5vP58iDx1V6691GGYdDY2EhjYyOlUkmW64lVo7Ml9M/CkCyCx4Y6XIUyJPwUQtzcugyl7HZ7ueW+q6uL/v5+XnrpJZ566inAeqNw/RuDeDxe7p4KhUIUi0WSyeScNyjxeFyGOQohhBBC3AVmQymwdsRbyVDq+mHgwWCQe+65B6fTecPbbN++ncHBQUZHR5mYmKC5uZmamhrGx8cZHx/HNE0Mw7gjS/cWI4GUWA1aa0gU0e9HIFUCrw31QBWqYl1+zBRCrEMbYjG51ppCoUBdXR2hUKi88wlcW+s/Gzh1dnZis9nmHBOJRBgaGmLbtm13vHYhhBBCCLFySqVSeUkdUB7hcLvy+TwXL17k2LFjmKZJTU0N9957700DKbDmNO3btw+/30+pVGJoaIgPP/yQ0dFRTNMkEAhw4MABXC5ZziQ2Nl000YkC+SsJzFMx9CtT6NenrwVSD0ogJYS4NevuJ8b//t//mwMHDlBdXU02m+Wtt97izJkzPPfccyileOKJJzhy5AiNjY00NDRw5MgRXC4XDz30EGBttfrYY4/x/PPP4/f78fl8PP/887S1tc0Zfi6EEEIIITae2UBKKYXWmnA4fFtL09LpNIODg4yMjFAqlQBrlMTu3btvaRh4U1MTDQ0NhMNhLl++TCwWo7a2ltbW1nnzUIVYz3RJQzQP4QJkSpApoTMlyJhQMNEK4q4EOpe1dtmzKVStE3YHUV7pyBNC3Jp1F0rFYjH+8A//kEgkgtfrZcuWLTz33HPlQOmpp54in8/zrW99i1QqRXd3N88999ycoZKf+cxnsNlsfPOb3ySfz7N7925+67d+S3YZEUIIIYTY4JLJJGBtYpPNZslms0QikUV3vvuodDrN+Pg4sViMWCxGNpstXxcIBGhvb6exsXFZw8CVUlRXV1NdXX3LtxVirVghVAFmcujpPEQKUFp8Hp+yG9hCLpTLsIaZ1zhRdvmcJYRYnnUXSn3hC1+44fVKKZ555hmeeeaZRY9xOp08++yzPPvssytdnhBCCCGEWEOz86QqKirw+XwMDw8zPT29pFAqk8nws5/9bN7OyjU1NXR0dFBVVSU704m7htYakiXQGvz2Oa9tnTNhJIOeyFodUR8NodwGqsoJPju4bdZueh4D3DYMp43KxkayY2OymYQQ4ratu1BKCCGEEEKIxcx2Svl8PjweTzmUuhmtNadPn6ZYLOLz+WhubiYYDBIIBLDb5S2xuDtora1Op7EsejxrzXoCcBlQ64IqB0zl0RM5MK8LlFwGqsYJ1U6ocUGFTQJaIcQdIf8CCyGEEEKIDeP6TqnZ3ZiTySTZbBa3273o7a5cucLMzAyGYXDgwAEqKiruSL03o88m0JM51DYfqnHx+oW4GZ0toY/FYCp37UJDgQJyJno4A8OZa9eFHKgWjxVW+SSEEkKsDQmlhBBCCCHEhqC1LodSPp8Ph8NBKBQiGo0yPT1NS0vLgrdLp9P09fUBsH379vUTSI1n0Reszi/9fgQa3bA7gPKsn2HRuqRBgTIksFjP9GQOfSwKOdMaPN7ohgYX1LlAKYjkYSqHjhRQQQe0elABx1qXLYQQEkoJIYQQQoi1USwWiUaj1NbWLun4TCaDaZoYhlHe5KampuaGoZTWmlOnTlEqlaiqqqKtrW1FH8Ny6VwJfSJmfVHlgGgBPZa1ulz2BVHNnhuf4A7QeRP9k2mwKXikRjpp1iFdNOFcEj1ghbUEHaiDIZT/Ix/zalxQ40K+g0KI9UZCKSGEEEIIcceVSiVee+01SqUSDz/88JJuMztPqqKiohyQ1NTUcPHiRaanp8uB1fUGBgaIRCLYbDb27NmzKsFKMZpDX0iiTQ0OBQ4DPDaocix4f1prOBm3ulr8dtQD1ZAqok/GIZxHH49BrQvlXOMdzc4lIH11JlGsACHn2tYjyrTWMJJFn01Axvoeqc4K2OlH2SR6EkJsHBJKCSGEEEKIO85msxEMBgmHw0xOTtLV1XXT21w/T2pWMBjE4XBQKBS4fPkyHR0d5etGR0e5cOECADt37ix3V60EnS3BUAY9liWaC2PmsvCRjchUoxt9IIiyfyRcGs1aXVEGqAMhK0QIOOBjVeifzFgB0OU0bPWtWL23SkcL6MvpaxdM5SWUWid0NI8+nYBw3rrAa0PtCaDqZSaZEGLjWeNfvwghhBBCiM2qvr4egImJiSUdv1AopZRiy5YtAPT19XH+/Hm01kxPT3Pq1CkA2tvbF503tRw6V0L/ZBp9LoGOF8BQqDo3qs1jzfKpcYKh0GNZ9FthdLpo3c7U6Iks+lTcqn2bDxW6NtdHKYXq9FrHXkpZnVdrQGuNPhWzQrar3Vp6Or8mtWw02tTWsseStrqZVvLcsQL6vbAVXIbz1uyoHX7Uo7USSAkhNizplBJCCCGEEGuirq6Os2fPEolEyOVyNz1+dvmezze3g6irqwvDMDh//jwDAwOkUilmZmbQWtPY2Mj27dtXrGattbXDWdaEChvGNj9V+9uZCE+WQwgF6HDeGl4eK6B/OgMNbvR41lqyBxByQPcCnVDNHjibsM4/moWWNZgtNZyBSAHsCnVPCP122FpWWNKyNOwG9GjGWoKZv/o9VqAdhrXD3dYKlOvWBthrrSFZsoaUj+es18/V86oWD+zwr6uh+EIIsRwSSgkhhBBCrDO9vb385V/+JZcuXSISifDVr36V++67r3y91poXXniBV155hWQyydatW/nsZz9La2tr+ZhCocDzzz/PW2+9RT6fZ/fu3Xzuc5+jurp6LR7SgjweD36/n0QiwcjIyA2X112/895Hd89TStHZ2YnT6eT06dPlzquqqqqVnyN1MQWTOatL5d5KVNCJsUDYoKqc8IkaK5i6fimcy7CGmG+tWHBHO2UoaK+wurAGUtDsvqMDxnXBRPcmrFq2+ayuL7dhhWSRvDUwW8yhiyacScxd7ghWp1netL6Pl9PQWQFdFYvOCtNaQ6pkvb6u7pRXDrjACqOaPbDNh/LJxzghxN1Blu8JIYQQQqwzuVyO9vZ2nn322QWv/+EPf8iLL77Is88+y3/4D/+BUCjE1772NTKZTPmY73znO7z33nt85Stf4fd+7/fIZrN8/etfxzTNBc+5Vurq6gAYHh6+4XGFQoFCoQDMD6VmtbS0cPDgQWw2G4FAgAMHDswbfL5UWmur8+VKBp2zBknrmTz63NXAZk8AFXDc6BQojw31YDWqswLV6kEdrkI9XofaHbhx18wWr7XjXbRwbW7QHaBLGo7HrG4unx06rYHyajaIkiV88+iE1QmnL6et0GirD/VLDahfrEf9XB3qcJXVFVfS1jD8H0+iP4xayzhL2goBx7LoEzH0K1PoV6fQp+PoiZwVSNkUVDtR3RWoR2qtnfUkkBJC3EXkJ5oQQgghxDpz4MABDhw4sOB1Wmteeuklnn76ae6//34AvvSlL/H5z3+eN998k8cff5x0Os2rr77Kl7/8Zfbu3QvAl7/8Zb7whS9w8uRJ9u/ff6ceyk3V19fT39/P2NgYnZ2di4ZIs0v3PB4PNtvigU5dXR2PPvooNptt2R1GWmur82Ugde2ykAOyJdBXl061Lm1ZnbIr2B24pftXLgNaPFbQ0Z+Gahe6YFoBlcOwurA+WnO6CJN561fOhrLCjCrHkpeM6WwJ/Z7V1YUBam/gWidXjROGM+jpPLJ47xpdMNHvRKzd79yGFRjNBng2BQ7AbYNap7X8ri8B8SJ6OIMeyRDuzWImM3D97DDj6vetzmU97wHHgh11Qghxt5BQSgghhBBiA5mcnCQajbJv377yZQ6Hg56eHvr6+nj88ccZGBigVCqVAymwlrK1tbVx/vz5RUOp67uRwFoWN7ukbrWWkAUCATweD6VSiXA4TG1t7YLHzS7d8/l8kCiiT8RQXRWopvnhkMNx4w6mG9GmhmMx9EjG6nzxO9CJgrUjHqB8dtS+IOpqeDb7vKz489PlQw+l0RNZ+Mk0Onbt+0KzB7UniHIaVoA2mEb3xqE0d7C2chjwQPWcYepzrp+tOVaAd8OQLaGchrUs8fplerUutMIKrEp6/m6Ca2TVnvvr6FwJZvLgNOY+J4A+HbeeM58d9VD1ogGgUgqaPOhGt7WUczhj7cCYN1Ea8NuhzoWqdVldUevk+V3MnXjeV4vUvnY2av0btW7YOLVLKCWEEEIIsYFEo1EAgsHgnMuDwSDT09PlY+x2+7yB4MFgsHz7hRw5coTvf//75a87Ojr4xje+sWhQtFK2bt3K+fPnyWQyNDY2LnjM6Ogobreb5uZmKgZNCmkD2xWTynsWPn45dKFE/LUrFKY1eDz4H2rC1RnCTBfIjyYpzmTx7KzGFpjfqdTQ0LBidQDQCPEhk/xwErKAy4Yt4KSUyMO0xng3ifeeenL9UQqjObC7sNe7MTx2dElTSuQxkwXU8TTBn2/HXjV3dzZdMMlfSRB/ZQjHSBK0A1u9j8BjbQs+vsjxLKVEnoAK4Gz0r+xjvU0r/dybmSLp45MUxlOUYteWLHoPVuDZU4NSitxgjMRUGNxugj/fgaPWu7STNwE9VvhZnMlgeOzYfPOf741gxV/zd5DUvnY2av0btW5Y/7VLKCWEEEIIsQF99DefS9l+/mbHPP300zz55JPz7mNqaopisbiMKpfG7bYCk4sXL9La2rrgb3VHRkbIZrMUZzIkBmesCyeyZPqGbjrbaSm01uh3I+jJLNgUxr2VhD0ZGLs6p6vC+i+RmoFrq/pQStHQ0MD4+PiSvge3VFOnDW1zoPx2q4PGbUNH8tZMokiW9I+tJY0YCqMnQL7DU37udMGBfieMjmTJ/vAs6sFq8NphImvNyprIoUxwuVzWzof1LtRBD9mPPL5ZpreIns6SOzuKYbu15YirZbWee/NnM+jpa7tBqgo7OlUk+/YQanQatc2Pfn0KXTBRW31MF2MwFlt+7YmVfd2sttV8za82qX3tbNT6N2rdsPa12+32Jf1SS0IpIYQQQogNJBQKAVY3VGVlZfnyeDxe7p4KhUIUi0WSyeScbql4PM727dsXPbfD4Vh06dtqvqGtrKzE4XCQSCSIRqPlx3i98kypMW3taqYADXo0Yy1/uk16OGMtlTMU6oEqqHTe0mPWWq/8c+Q2UNuvff+01tbQ7IdrUGcT6EspCDlQB0LWYHKu+z7ZFdxfCW+H0dEC+q0Za3ZR8boafXY8PTXkK3Jonw2UWvwx1Djhcho9nSsfo3Mla/h5tgQZ0/p/vRu1xHlbK2Uln3sdyaOnctZcrXsqrTDQacCllDWAfDBtLb8ragg6YJvvtu57VV43d4jUvjY2cu2wcevfqHXD+q99fS9YFkIIIYQQc9TV1REKhTh58mT5smKxSG9vbzlw6uzsxGazzTkmEokwNDTEtm3b7njNN2MYBk1NTYA1M+ujZmZmyGazkDOpSDrAplA91hIyPZq97fvXeRN9Jg6A2uZDVa7v5VTKpqwd/H6+3ppltMhubMphWLu/BR3WTm5FDV6btZPbJ2pQj9VScbAeFXDcfOZIzdXnJFZAp0vo8wn0j6fQR6Poq0Ph9WgWfSKKTqxeV92qu2C1ialmD6rRbQVSgOqoQB2qtAaYF7X1GjwYkiHkQghxm6RTSgghhBBinclms4yPj5e/npycZHBwEJ/PR01NDU888QRHjhyhsbGRhoYGjhw5gsvl4qGHHgLA6/Xy2GOP8fzzz+P3+/H5fDz//PO0tbXNGX6+nrS0tNDX18fQ0FA5eAPruThx4gQATWYVTpsd1emFNi+cTVpDzxMFlP82lvCdiUPOhIAduitW4NHcGbOByU2PeaAKRjJWl1XIsazht8plQwfs1u5xr01dG6oesFvLJz0GOlyAmTz6ZAwerLrt4bpaaxjJoofSqFYvtLhXd6h5ooAez1pdeN2+ederRjc8UIU+l0Bt8VrLKoUQQtwW+UkqhBBCCLHO9Pf387u/+7vlr7/73e8C8PDDD/OlL32Jp556inw+z7e+9S1SqRTd3d0899xz5Z3yAD7zmc9gs9n45je/ST6fZ/fu3fzWb/0WhrG+GuW11iilaGlpobq6mpmZGT744APuu+8+fD4fJ0+eJJ/P41Medhot4DCgy2ftLFfnskKEkSzsWF4opady6CtXd9rbF7wrO1+U04CO2w/bVI0LHS9agZTXZnWrNV4XFKWL6Nemrd3qhrNwG8v4dN6Ek7FyJ5yezqPG3Oh9gUV3ubtts11SDe5FAydV5bTmcwkhhFgREkoJIYQQQqwzu3bt4nvf+96i1yuleOaZZ3jmmWcWPcbpdPLss8/y7LPPrkaJK0IPpmAqj76nEpvNxsGDB3n//feJRqN88MEH1NTUEA6HsRk29ul2bMqG6qq41iHU6IbxLHosC9t914Z8R/LgNFAVN36rqxNFq6sHUO3edb9sb811elGpIlQ5obMCZZsb4Cmv3ZqxdDaB7o1bw9OX0M11PV3UMJlFn45D1rRmOzW60WM5K4AM52FvANW0snOrdLqIHrk61H7r/C4pIYQQq0NCKSGEEEIIccfpbAl9JmF13bwfRjc0YLfbueeee3j//feJx+OMjo6Chl22LVSknOA2oNN77SQNLmvGT6JoLePz2+F8Et2XtJZgNXtgq6/c9aK1hnQJxnPWsOpYwTqPxwY7/Xf+SdhglNcO91fd+KCuChjOWN+TcwnYG5xztS5pGEqjhzJW4OS1WbsCKtAzeYgUrIHsAH476kAQFXJas6yOx6z/fxCF5izsDa3cg7uYsgbo17pQodvfzVEIIcTSSCglhBBCCCHuOOW2wX2V6Pci6Mkc8R9fRvc4cTgcHDp0iPfee49kMkmbrZaGlN8aLH1fJcp+rfNGOQyovW4JX95EX05bV2prRz1GMlDvQhc0xAtQuG4HIgNUnRt2+OacVyyfMhTsDaDfClvfC1NDyGnNs4rm0RdSkCmVj9eRwvyTeGyoFjds85e7sVTQAR+vtkLHC0n0SBZmpsh/MoDOF9HTeYjk0cmidRuHYe1AWOWE5hvPotKporWEE1BbN85MMSGEuBtIKCWEEEIIIdaEqnVZQ7jfjVAYT6NjCTgYwuFxcPjwYWInxwldMazw6FDI6pj5qKarS/guJq1OFwVqTwAqndCXRI9n0eO5a8fblDXsu9kNjR6US8KolaaqXdDmQQ9lrI6ooczcAzzWMkzchtW5li5ZHXOVTqh1WvOqFgiRlKFgh98KGY/H0Mki8VeGMHNZ63t/1ZyNzwfTcMUF+wJWp9dH6LyJfi9i3X+10/pPCCHEHSOhlBBCCCGEWDOqygkPVqOOp9HRLLwyBQoMp0FlzlYOmVS9e+ET1F9dwlfSYCjUPSFrlzSA+yqtJXoTOWuJXtAOPvtdOcx83dkXRDW4IVJARwvW98GurDCqzTtvHtWtUJVO+EQN9CVhpAhKQchuvZYCDqs7q2hC5mrn3FQO/fo09ARgi+fa7DFToz+IWEsNPTbrtbOKu/sJIYSYT0IpIYQQQgixplTIQfAXO8j+qM/a3c3UkDOt67oqUO2LL6lSDgPavejRLOpg0OrSuf76oAOCMiPoTlNKQYMbGtworu2yuGLntynUrgBVn6hjfGICFtuQr91rzaIK562h9v1JaPNaOwP2JmA6b4Vl91daS0qFEELcURJKCSGEEEKINWcPuTAersU0TchbXS6YGipvHiipXQHUrsAdqFIs12p1IBlOG8qurCH2C92vzw4fq4KBNLovAakS+mwCziauHgDqUCUqIMGlEEKsBQmlhBBCCCHEuqGUApfN+k+IFaCUsnYF3OKB0aw15yqct67bE0TVuW5yBiGEEKtFQikhhBBCCCHEXU/ZDWueVZsXnSxCwbTmUwkhhFgzEkoJIYQQQgghNhXlk49BQgixHsgeuEIIIYQQQgghhBDijpNQSgghhBBCCCGEEELccRJKCSGEEHcxbepFd6USQgghhBBiLcliaiGEEOIuVSyYnPqbCYo5k/qtPhq2+nB6ZEczIYQQQgixPkgoJYQQQqwDhVyJdLRAoM5lbV9+A1przJLGZr9xw/NYX5JsogjAyJk4o2cT1LZ7adsfxOGScEoIIYQQQqwtCaWEEEKINaa15uzr06TCeZp3BWjbG7zpsbHxLDangavCjstro2Gbj1CDu3xcIVdi7FwCgMYdfhLTeZLTOSYHUpimZusD1av+uIQQQgghhLgRCaWEEEKINTbZnyIVzgNWR5PbZ6eus2LBY1ORArHxLAClvEk6nycdgeh4ll2frMNf7bTO05ugVDCpqHSyZX8QpRQzV9Kcf3OG8HAWs6QxbDfuyBJCCCGEEGI1yaBzIYQQYg0V8yZDJ+MAVFRZgdLA+xGiV4Onj5oaSAFQ1epl3xMN7Hi4llCjG13S9P10mnymRC5dYuJCEoDWvcHycsCqFg8Ojw2zaBKbyK32QxNCCCGEEOKGJJQSQggh1tCVU3GKuRKeoIPdj9dRs8WLNjXn35whHS3MOdYsaaYupwGo767AG3RQ2eRm68eq8QQdFDIl+n46w5VTMcySxl/rItToKt9eKUVVsweAyEjmzj1IIYQQQgghFiChlBBCCLEMpqmJT+UYPh1n6GSMfKZ0y+dIxwqMX+1oaj8YwjAUXfdX4a91USqYnPvpNKWiWT4+PJyhlDdxVtgJ1l8Lm+wOgx0fr8HmNEjO5MrdVG3XdUnNqmrxlM+ltb7lmoUQQgghhFgpMlNKCCGEuAWZeIHBYzHikznM6wKj8fNJWnYHaNjmwzCuBUFaa3KpIvHpHMmZPGZR46qw4fLZmbiQAq2pavGUh5QbNsX2j1dz6m8mySWLDJ2I0XFPJQCTV8Omug7vvLDJ7bez7cFqzr4xDVoTanQTqHPxUYF6FzaHQSFbIjmTx18z/5iFxKdylAqaUOPNdwcUQgghhBBiKSSUEkIIIZYoHSvQ++oUhazVFeVw2wjUuciliiRn8lw+FmVyIEWowU0+UyKfKXG6FCYescKnhSibYsuB0JzLHC4bnfdVcva1KcbPJ6lu8+Ly2spzoGo7Fh6CHmp003VvJeMXk/POOcswFKEmNzOX04SHMzcNpbTWjJ5LcPl4DLTGX+Niy8FQeaC6EEIIIYQQyyWhlBBCCLEEqUie3temKeZKeCuddB+uxBt0oJRCa83UQJrLJ2JkYgUysauzoJTC7VIoBd5KJ75qJ3anQS5VIpcsks+WaNzux+2b/89xqMFNXWcFkwMp+t+LWMvutCZQ717w+Fl1XRXUdS0cWs2qavFcDaWytO3T5c6nxHQOZSgqKq3HZZZMBt6PMHHRWmKoDEViOsfplyeoafey5UAIp9u2zGdUCCGEEEJsdhJKCSGEEDeRnMlz9vUpinmTiionOx+pweG6FsYopajrqqCyxc3EhRTFgonTa8PttdO8pYFUIYphu/Ulb1sOhIiMZcnGC4z2WkFXXaf3th9PZaMbZSiyiQKZeBFPwM7ImQRXTsUAsLtsBOtdDNrTTFxKgVK0HwhS3eZl6ESMqcE004NpsskSuz9VK8v5hBBCCCHEskgoJYS4q2mtGetLMnUpRW1HBQ1bfcsKB8Tmk44VCA9nCA9nSIXzAPiqXex8pAa7c+F9QhwuGy27A+WvlVJUNlSQHYsva6i43WnQeaiSvp9OA2BzGlS33n4oZXMYBBvcREetx1fMm4ydSwBg2A2KuRIzVzK4XSY2u6L7garyrn3dh6to2OrjzKtTJKdzTF9OU9t+484sIYQQQgghFiKhlBDirhAZyZCYyVPb7sUTcABQLJj0vxshfCUNwOVjUcbPJ2ndE6Cmff6gaCFmDZ+Ol7uGAFCKyiY3Wx+owua4sxvXVrV4qN7iZeZymtp274qFqlXNVig1fDqONq3ArP1giPqtPpIzeeITOezaQ6AVvCHHnNv6qp009/i5cjLG0IkYVS0ebHbZ0FcIIYQQQtwaCaWEEBvezJUM59+aAa0ZORMn1Oimus3LyNkE2XgBZSjqt/qYGUqTSxW5+E6YsfNJOg9V4pNhzeteLl2k/8NJ7KESDvfqBx/ZZJHhM3HAGhxe1eqlstm9prOTuu+3OpUqm90rds7KFg98ELUCKaXoureyPIsqUOsiWOemsbGRsbGxBbu8mnb4mexPkUsVGT2boHVPcMVqE0IIIYQQm4OEUkKIDS02nuXCz6xAyhNwkEkUiY5liY5lAXB67Wz7WBX+GhdtewOMn08y0psgFc5z6m8nadjqo3VvAPsd7n4RS1PMm/S+OoXO21DOErs+WYvjunAoPpnj0tEInoCDhm0+/DXO8uDx6FiO8JU0Do+Nph3+RZfcfdTQyRja1AQb3Ox8pHa1HtotMWyKmi23v2zvek63jcomN9HxLN2Hq6hpu7XzGzbFlgNBzr85w+jZBHWdFbgq5r+tSEXyjPUlqeuqIFB7453+hBBCCCHE5iKhlBDijpoZSnPpZxdJpVM43AYOl0FFlZPajltfTpeYznHupzNoU1PV6mXbx6rIJUuMX0wydSmNr8pB9+Gqcohhsxs09wSo66xg8FiU6cE04+cThIfTbPtYNf4a+cC8nmitufhOmEyiiNtlI5Mocvb1aXoeq8XuNJi+nObiO2G0qUlHC8wMpamochKodTFzJUM+XSyfa7I/xZb9wZsu20yG88xctpZ7btl/93f+bP94NaWiXnYoW9XiIVDnIj6Z4/LxGNs+Vj3n+mzS+p4VsiWmL6fpuq+S2g6ZPyWEEEIIISwSSgkhliWfLWEW9Q23pr+eaWouH4sxfiGJ2+Uim8vBdUuC7E7D2vL+ZucpaWvezWSOsfNJzKJJsMGa9aOUwu23034gxJb9wUXDB4fbxtYHqqntqODSBxGyiSL970bY90S9zJlaR4bPJIiMZDBsBvsfb+Po3/aTiuQ595NpQo1urpy0Zj5VNntwuKyQKhXOl4eS250G1W1eYpM5svECF98JMzmQomGbj1CDe8HZUEMnrHPWbPFSUXn3L+1USmF3LP81r5Si/WCIk38zycxQmitBBy09fpShKORKnH3DCqQMu4FZNMshY+uegPxdE0IIIYQQ6y+UOnLkCO+99x4jIyM4nU62bdvGP/7H/5impqbyMVprXnjhBV555RWSySRbt27ls5/9LK2treVjCoUCzz//PG+99Rb5fJ7du3fzuc99jurq6oXuVghxC8yS5uSPJihkSvhrXTRs9VHV6qFUMImOZYmMZsklS1RUOvBVO3H77Vw+FiM5kwOl6NhfS8mWIZ8pEp/MER7OMHgsSqjRvegQ53S0wNDJGLHxLGbpWpjlq3ax/ePV8263lA+8oQY3e36ung//coxMvEBkNFveYUysrfBwhuGrg8Y7762keVslmWItp1+ZJDGVIzGVA6Bhu5/2A1YA2bY/yGR/iky8SKjJTVWzB8OmMEuasb4Ew6fjxCdzxCdzKEMRqHNR2eSmstmD22cnOpYlNp5FGYrWvXd/l9RKqah00rTTz2hvnOFTMaKjGTrvq+TS+1Gy8QKuCju7H6+7unQ2zsiZOKlwnrquCoL17iUvqxRCCCGEEHefdRdK9fb28vM///N0dXVRKpX4P//n//C1r32N//pf/ytutzXg9Yc//CEvvvgiX/ziF2lsbOQHP/gBX/va1/iDP/gDPB7rA+V3vvMdjh49yle+8hX8fj/f/e53+frXv843vvENDEPeAAtxO8LDGQqZEkA5ILA5DUoFPaf7KTmTY+LitdvZnAZbH6im51BTeXhyXVcFx18cJ5csMnouQcuuwJz7ymdLDJ+KM9GfKp/b4bYRqHMRqHNR2+G9rV2/7E6D+u4KRs8mGDuXkFBqHYhP5rj4ThiAhm0+6jqt5V4VlU52fKKGs69PYxZNthwM0bTdX76dw2WjuScw73yGTdHcE6Bmi5exviSR0QzZRJHYuBVCDX4YxRN0YBat11fDVt+SOwCFZcu+IBUhBwMfREjO5Dn51xOA9Xd+x8M1OD022vYFcfvtDLwfKc99U4bCX2OFWpVN8//uFfMmxZyJy2eTziohhBBCiLvQunvX/dxzz835+otf/CKf+9znGBgYoKenB601L730Ek8//TT3338/AF/60pf4/Oc/z5tvvsnjjz9OOp3m1Vdf5ctf/jJ79+4F4Mtf/jJf+MIXOHnyJPv377/TD0uIu8rUpRQA9Vt9ONw2Ji4myyGVt9JJZZMbb8BBKponOZMnFSlQUemg6/4qPP65W8vb7AZb9oe48LMZRs7Eqe3w4vLa0Vozfj7JlVNxSgUTgKpWLy27/XiDjhX9gNqwzc9YX5L4ZI7ETB6/7Mi3Zq6fExWoc7PlQGjO9YFaF/ufqKdYMKkI3dr3yVVhp/1giPaDoXJnXGQkQ3wqTyZWAMDmMGje5b/JmcRCarZ48dc66X8nQmzCCpx2fLwGb/Da3/m6zgoqKh1MXkoTHcuSjRes7rWpPN33z503NT2Upv+dMGZJY3das+f8NU7quny4vLe3E2LmagfXYp2ZQgghhBDizlh3odRHpdPWwFmfzwfA5OQk0WiUffv2lY9xOBz09PTQ19fH448/zsDAAKVSqRxIAVRVVdHW1sb58+cXDKUKhQKFQqH8tVKq3HW1mr+dnT33RvwNsNS+Nta69nymRHTcWobXtMOPx++gZVeA5EweV4UNl/faj5VarA+YWut5dV9ff80WLxMXU8Snclw+FqNtX5D+dyLEp60lWr5qF+0HQgTqVmcQubvCTm17BZOXUoydSxB4qGbeMWv9vN+OjVC71prRswkuX53pVN3qZeuD1rLMj9bv9jkWPc9SeYNOvEEnzTsDFPPWstPYRJbKZg9O98r907gRnvvFLKd2d4WDnsdqCQ9ncHpt+Kvn/531VbnwVVmXZ5NFhk/HmbyU4uK7EcwS1HdXMHwmzpVT8dlCKBY0sYkcsYkck/1pdnyiBt8NwuPFatdaM3ouwZWTcRq2+Wj/SOgphBBCCCHurHUdSmmt+V//63+xY8cO2traAIhGowAEg3PnfQSDQaanp8vH2O32cpB1/TGzt/+oI0eO8P3vf7/8dUdHB9/4xjeorb0z24E3NDTckftZDVL72lir2vuPTeJ2uahsqKBzW9u1K5pv7Twfrd/3i5X89HsXSE2a9L0WwyxChc/Dzo810dZTteof6is+EeKno+dJTWkC3ioqggsHYPKaWXlmyeTMT0eZOJfF7XLRsa+WnQ82ooy53/PVrL91y6qdGli/z/1SLKf268ZA3lR7t6b3zVEGT04zeipNahJiE7nya2H74QaSkSzRiQyXT02TCGe5+Fac/Z9spbE7tOTaE+EsJ1+9QnQii9PhxFZy0VDfMO91JoQQQggh7px1HUp9+9vfZmhoiN/7vd+bd91Cv/28mRsd8/TTT/Pkk0/OO//U1BTFYnGxm902pRQNDQ2Mj48v6TGsJ1L72ljL2rXWnD86QTZXwFPnZWxs7JbPcaP6Qy12xi8mIQfBOhddh0M4K/KMj4+v1EO4IXeVIjqW5fgb/bTfYy3xSkcL2J0GwTo3za1Nd81rppAroU1wem68DKqQLTHwQQS7w6D9YGjBHetuRyFXou/NGeKTVldc+8EQlV2K8Ylr33P5+7o27mTtlV2KZMrFcG+c7FAOpaDzUCWVXYrJKWs+lbMaOj7m48JbOSJjGX72l+dp2xukucc/7z3B9bWbJZORswmunI6hTbA5FO0HQtR1uue8zlaS3W6/Y7/UEkIIIYTYyNZtKPU//+f/5OjRo/zu7/7unB3zQqEQYHVDVVZWli+Px+Pl7qlQKESxWCSZTM7plorH42zfvn3B+3M4HDgcCy8JuRMfJLTWG+4DyyypfW2sRe3JcJ50LI+yKapbPbd1/wvV37o3AErjDTmp6/SilLqjj7Fph4/oaIbxi0km+pNo89p9K0PR0JbG5itSv7UCp/v2ZtqsBa01mXiB0XMJJgdSKAU9j9Xir1m4KyyTKHDujWmyCSuYj0/n2P5QNZ7A7S+fA0jHCpz7yTS5ZBGbw2DrA1VUNi/+upK/r2vjTtXeujeA3aWYvpyhbV+AYL173v3a7Irtn6hm8FiM8b4EQyeiJMPWPKqFAtNUJM+Fd2ZIhfMAhJo8dN4bKi8z3qjfEyGEEEKIu8W624ZOa823v/1t3n33Xf7tv/231NXVzbm+rq6OUCjEyZMny5cVi0V6e3vLgVNnZyc2m23OMZFIhKGhIbZt23ZnHogQd6GpS9aMt6pmz6ps4253GnTcU0l9V8WazOAJ1LnwVbtAa7SpsTkM/DUuXD47WkNkPMXwmTgnXhxnciC1pA+0xYLJWF+CEz+a4Mwrk8SncnfgkcwXn85w/q0Zjr04zsRFK3AzS5q+n86QS83vBo1P5Tj9t1NkE0VcFXYcHhuZWIFTL08SGcnc9P7y2RKXj0c5/eNJklcDgTnnn8xx6uVJcskiLp+d3Y/XUSk7H256jdv97Pm5OoL17kWPUUrRcTBE572VKEMRvpLm1MuTpGPX5kIWciUufDDBib8ZJxXOY3MadB+uYscnqufMvRNCCCGEEGtr3b0z+/a3v82bb77Jv/yX/xKPx1OeAeX1enE6nSileOKJJzhy5AiNjY00NDRw5MgRXC4XDz30UPnYxx57jOeffx6/34/P5+P555+nra1tzvBzIcTSmaZm+rIVStV2eNe4mtWhlGLHw9WkwgU8ATtO77Vt6HOpEvZCBWfevUwqnKf/3TDTl9N03luJ2zf/R2k+U2Kk1+pIMotm+fIzP56kus3Llv1BXBUL/wjOpYs4XLYFdwbTpsY09ZwB4DcSn8oxejZBZmaSbC4HWhNqdNO43c/QiRipSJ5zP5lm96fqsDkMzJJmoj/F5eNRdElTUeVkx8M1oOH8mzMkpnOc+8k0wXo3oSY3oUY3noD1OMySJp8pMX4+xWR/ErNkhXbn3rDO7/Zbx6VjBc79dBqzaBKoc7PtoSocro3XeSbWVn23D2/Iwfm3ZsjErcDUX+0kHStQyJm4XS60CZXNHjrvrbzpUlUhhBBCCHHnrbtQ6uWXXwbgd37nd+Zc/sUvfpFHHnkEgKeeeop8Ps+3vvUtUqkU3d3dPPfcc+Xd8gA+85nPYLPZ+OY3v0k+n2f37t381m/9Foax7prDhNgQoqNZirkSDo+NUMPiXQwbncNlI9Q4/8Or22ensbEKWzDLyLkEw6dixMaznPjrCbZ/vHrOc5JNFDnz2hT5qx1InqCDhq0+0tECE/0pZobShEcydB6qpK6zYs79TF3dhcwbcrDn8bo5wVQxb3LqbyfJxgsYNoXDbcPpsVHb4aXuI91lmXiBgQ+ixCeyoBRut5vqVg/NPX4qKp1X67JbHSbRAhd+FibQ4GL0bIJCpgRYH+a3PliFzW793Oz5ZC2XP4wyfiFJbMLare7yMTBsqhxAXc9X7cIsmaSjBc6+McXuT9WhtRVSlfImvhoXOx+pWTB8E2Ip/DUu9v58Ped/FiZ+9TUJgFJUhFy0dlZQ3ebZkLsfCiGEEEJsBusulPre975302OUUjzzzDM888wzix7jdDp59tlnefbZZ1eyPCE2Ja01I2cTANRs8W7q3aqUoWje6ae6xcPFd8MkpnKce2Oa7sNV1GzxkokX6H1tiny6hDvgoONgiGCDq/yhuL67gsFjMeITWfrfi2DYFDVbrM6z2NXL0Jp0JM/QiRjtB0OA9T0YeD9CNm4tUTJLmlyqSC5VJDGdY3ooQ9d9lbgqbIz1JblyMoZZ0ihDUddRwYFHuolnwnOWHLq8drZ/vIbeVyaJjGaIjFrL8pxeG007AzRsnRt0GYai41AlDdt8RMeyRMeyxCdzcwMppQjUuWjp8ROod1HImpz+8STZRJGzb1g7pOZSRdx+Bzs+US2BlLhtDreNnkdqmBnKYJY0npCDipCDltZmxsbGZG6UEEIIIcQ6tu5CKSHE+jN1KU1yOodhN2jc7l/rctYFt99Oz6O1XHwnzMxQmgtvh0nHCkwOpChkSniCDnoerZ23ZKii0knPozVc+iDKxMUkF94OY9gUbr+dvjdn0Ka1ZC4VzjPWl6Cy2U2w3s3UpTQzQ2mUoazzem0UsiXiUzmGT8WJT1hdWx6/nVTk6lDnRvfV5YUOKkIu4guMgvJXO+k6XMXFt8M4vTaad/qp7ai4YVjkCTjwBBw0bveXl+zZ7ArDruYtK3R6bOx8uIbTP54qD5t2uK3LZMmeWCnKUNS0X1tWLJ1RQgghhBAbg4RSQogbKuZNhk7EAGjZ7cfllSBhlmFTbH2wCofbYPx8kpEzcQC8ISuQciyyQ59Sio5DIUpFzfRgivNvzWB3GZTyJv4aFz2P1TL4oRVaXXwnwvaHqrl0NApA654AgTprtzy3z46/xkV1i5f+9yPEJ7KkInlsDoP2AyFqr+5geDM1bV5CDW5sdnXLXXCGTS04U+t6noDVFdX72jRozfaPV5fnSwkhhBBi5WjTJJdK4vYH1roUIYRYEvlUIIS4oSun4xSy1lI06ZKaTylF+8EQDpeNK6diVFQ52fnIzbuAlFJ031+JWdKEr6QpZEq4/Q62X13StuVAkNhElmyiyOkfT6JNTaDOTdPO+d8Dq2urhqmBNMlInuYe/y3vMLYauylez1/j4sCTDQAycFoIIYRYJQPvvcXwqRNsOXgv7ffcv9blCCHETUkoJYRYVCqaZ/x8EoCOe0IYm3iW1I0opWjZHaC204vTbVtyt5EyrE6r/ncV6Wie7Q9dC7NsdmsL+9M/nkKbGrvToPuBykU7n5RS1HVVUEfFgtevBxJGCSGEEKsnl0ww2nsKgMsfvo/TW0HTzt1rXNXK0FpjlkrY7PLxVYi7jfytFkLMobUmlyqRTRS5cjoOWlPV6r2rd9xbKbfanQTW8PCtD1QteJ2/xkXb3gDDZxJ0Ha5a1vmFEEIIsTkMnfgQs2Ridzkp5vJcfOt1XN4Kqrd0rHVpyxIZHWZmcIBUZIZUeIZiLktt51a2feKTEk4JcReRv81CCMDaze3SBxGmBtNo89puVYZN0X4guIaVbW7NPQGae2QuhBBCCCEWl0slGe87A0DPp55g8mIf431n6X31R+z7pacJ1DWscYW3ZuLCOc69/uN5l0/2XyCbiLPr534Jp8e7wC2FEBuNhFJCCIp5k743Z4hPZAFQV4dXu312Grf7cFXIjwohhBBCiPXqysljmCWTYEMjocZmgvWN5NNpwlcuc/LF/0tTzx5a9h6YE+Rorcmn02RiEdKxKJl4FKUMnB4vTq8Xl9eHr7YWm91x0/svFQuYxaL1X6mE01uBzXHz2y1kerCfvp+8AkBtRxdVbe1UVFVTzOXofeVHxCcnOPbD77PnF/4O3lDlsu5DCLF+yCdNITa5fKbE2TemSUfyGHaDbR+rJtToki3VhRBCCCE2gHw6xdi50wBsOXgfSimUzUbPJ3+B0y//FdHREa6cPMZo7ykad+5CKYPkzBTJmWkK2ewNz23YbAQbmqhsacNfW4fNbsfmcJBwOpi40Edk9AqxsREy8fic29nsdmo6u2nYtpNgQ9OS31eGh4c4++rfoE1Nw7adbPvEY3Nue+CXP83pv/l/ycTjHPvhCzTv3kdTzx7pmhJiA5NQSohNLJcucebHk+RSRRxuGzsfqaGi0rnWZQkhhBBCiCW6cuoYZrFEoK6eUFNL+XKbw8HeJ/4u4SuXufzheySmJhk+dWLObZUCtz+IJxjEEwiBUuTTKfKZNJlYjHw6RWTkCpGRK9fdCNwuF9lcDvSc02HYDJQyKBWLTJw/x8T5c3gCQSpb2gjWNxCob8Tl888LqcxSkcmBi1x48zXMkkltRxfbPv7ovOO8oUr2//KnOfO3LxGfGOfyh+9z5cSH1G/dTl33diqqqnG4ZA7qRlYqpUil3qGi4j5sNtn5ezOQUEqITWz8QpJcqojbb2fnI7W4ffIjQQghhBBivTNLJeITY8xcGSzvuDfbJXU9pRTVbe1UtW4hfOUyExfO4XC78VXX4quupaKqCsO28Ps/rTXpaITIyBCR4Stk4lHMUgmzWMTucOD3B62lgo3NBOobsDucKMNAa01iaoLxvl4m+y+QicfI9J4q1+n0VpQDKl9NLZHhIcb6eilkMgBUtbax49GfQxnGgnU5PV72P/n3mB4c4MqpYyQmJxg718vYuV4AXD4f/ppa2g89QEXlwpvJiPUrGv2/pNMnyeb6qa35vKze2ATkE6gQm9jsDKmWXQEJpIQQQohNSmuN1npFP/yVCgVKxcKCy6qK+TxTly5S2dyK27f0TohiPkdiesoKRGrrV6zW9UZrzczQJWLjo2SiUdKxCLlkAqUMbA4HNoeTQjZDMZ8v3ybU1ExlS9ui55wNp6rb2pdch1KKisoqKiqraNm9f87ljY2NjI2NobVe8HaBugYCdQ10Hf444eEh4hOjxCbGSU5Pkk+nmLrUz9Sl/jm3c1VU0LRzD8179mPYbDeuzTCo7eympqOL+MQYI2dOkpiaIJtIkEsmySWTxCbG2fdLTy87mDJLRZLTU3hCldJ9dYcUitOkM1Z4mcv2k8mcwuvdu8ZVidUmn0KF2KSKBZNkuABAoN61xtUIIYQQ4k7LpVKc/PGPOPfez7C73FS3dVDT3kmwoemmocAss1QiOTNFbHyU2PgY2USMXCpJMWcFJlWtbXTc9yC+qhoAZoYGufDW6+SSSVw+Hwf+zq/gui6YKhUKDB59l0wsimGzYdjtaK1JzkyRiUaYzUBqO7vZ+rGH59RSzOfIxKJ4AiHsro353iYVnuHCz94gNja6wLUmpWIRrnYUOdxuqlq3UNXaTvWWjnXZUWJzOKjt6KK2owuAUrFIYmqC+MQ48ckxElNTeEMhmnr2Ut3WvuTX3SylFMGGJoINTQAUczlS4Rkuvv0TkjPTnHzp/7Lvl56+pYHoxXyesXNnGD51nHw6hTKs+6jZ0kmouQWHy43N6cJml4/SKy2R+AlojTKcaDNPNPZXuN3bMYyN+fdZLI38TRJik0pM5kBr3H47Lq/8KBBCCCE2i3w6xdDxo4z1ncFpt1MqFikVkoxeXWJlc9gJ1DXgr60nUNdAsKFpXshTKhYYePctxs+fxSyWFr2v8JUhIsND1G3dgVksMjVwsXxdLpnk1N/8Ffv/zt/D7nRRyGU5/Td/RXxifNHzuXw+q9Nm4CLRsWGMJ58mEo0xebGPmaFBzJJViycQoKK6FofbTSmfp1QooE2T1n0H58xdWg3aNImOjzLVf57o2Ag2uwOH24PD7cbtD1C9pZNA3dxOr1wywfCZE4ycPoE2NYbdRsO2nVRUVuMJVeLxB9BaWx1ohTyGzY6vumbRJW7rlc1uJ9TYTKixeVXOb3e5CDY2sfeJv8uJF4+QCs+UgylPMLTgbYr5HOlohHQkTHJmmomLfRRzOateh51SoUh0dITo6Mic2xk2G9VbOug6/BCuCt+qPJ7NpFSKk0p9AEBN9f+HcOT/R6kYIZ54jVDwF9a4OrGa5JOoEJtUbNL6xzZQJ795EEIIITaLQi7Lsb/8PtlEAhRUbemgZvsuzFKJmcEBZoYukc9kiIwMExkZBqxul7Z999C8Zx82u4NUJMzZV35EKhIGrI6dQH0jwYYmKiqrcPn8uCp8FDJpLn3wDlMDF5k4fw4AZShadu+nfttOTr70f0mFZ+j98Y/Y/onHOPU3f0UqPIPd5aT94P2gFGaphDZNKiqr8NfV4/R4SUxN0veTV0hFZvjg//3BnIHbDrebQjZLJh6ftyMcQHxqnINPPbNoQHE7zFKRyx++z/j5c+TTqUWPGzp+FLfPR8ee/cxMTRIbHyWXTJavr2nvpOvwQ7j9gRWvcbNwuN3sfeIpTrx4hHQkwomX/i+7f/5J/NW15WNKxSIX3nq9/Nq8njcYomXfQeq7t5FLJpkZusT04CVSkWlK+TxaW12CUwMXCV+5TMe9D9C0c/eGCwnXk0Tip6BLOF1bcLu3Uhn6O0xPf5dE4idUeO/B4ai9+UnEhiShlBCbVPxqKBWskzXyQgghxGagtebCm6+TTSRw+wNs/8Rj7LznXsbHx9FaU93Wjtaa1Mw08akJEpMT1lyjeIxLH7zDSO8p6rq3Mtp7CrNYwun1sv3hT1HZ3Lrg0jG700nPJ3+B+J4JLh99l1KpSPfhj+OrsT5c7v75JznxVz8gMnKF9773/8UsWefc84u/XF7utxB/bR0H/+4zXDlxlKm+Xlw2O7VdW6nv2k5FdQ3FXI5keJrUzBSlQgGbw4nN4WC8r5f45ARnfvwSB375V7E5HCv23BayGc787V8TG7eW3dldTmrau6j5/7P331FyneedLvp8O1ROnSO6G42ciEyQFHMQxSBSlCVZlKzR2LJsy1oaz7kz98xdx+N716zluWs8Z8b2nBmfkW2Ng2TJiqRESqREMWcikMgZ6AY6h+rKVTt/549qFNDsRiJCA+R+Fno1unZ6965du/b+fe/7e3sWIYTANirYhkF+fJSpgX6MUpG+97bVBDUhINbUQs+GG6lf0H3Z4vooEwhHWPvgp9j1i59SzmbY+dSPWXHXx2lra8Msldj7619QGB+rzhuJEq2rI5KqJ9XeQUPXwprAFE6m6Fyzns416wGmM9Ysytksx956lfz4GEfffJXxo4foWr+Z+s4uX5y6SDyvTLH0NgCJ+F0AhEIrCYWWYRiHyGaforHxd67JElWfS8cXpXx8PoLYpksp4/tJ+fj4+Pj4fFg4ZTh9roe2scMHmDh+FKEIVt5zP4nm1jm7tcUam6rC0YrVSCmZOH6Evm1vYRQKDO7eCUBdxwKW33XfnEbm7yfR3MKaBx6Z9Xq8sZmV9zzA3ud+jue6hBMJ1jzwKOFE8rzrVFSVno1buOmhRxkZGZkxTQ+FqGvvpO59ZXr1C3p496c/oDQ1xaFXX2DF3fdflofcUmaKfc/9nEo+jxYIsOTWO2ns6T1rVzvXcciNDOIV8pRNi3hLK4mmlssqkvlUCUSirHvkNzjwwq/IDA2w99fPIMsljr63HbNUQgsGWXnvA7POlXMhhEALBEk0t7Duk7/ByMF9HN/6JvnxMfb+6ueE4nHalq2idfnKC/p8+ECx+BbSs9D1VkKh5UD1OKdSjzA69ucYxmHf9PxDZSaBPQAApddJREFUjC9K+fh8BClMWCAl4YROIHxxhpI+Pj4+Pj4+Vw7HslA0DeUcmRaubTO0dxdD+3fjmAbS85ASFFUhnEgRSdURqasn0dxKqr0TRVUp57IcfetVAHo2brng7nVCCJoXLaWxp5fh/XsYPXyA5kXLWLB2w2URdOoXdLPy3geYGjhB9/obCUajF7W8EAIhxJxd4N5PMBpl5b0PsOvnTzBx/CjxpmYW3LDhg4YOQGZ4kP3PP4NjWoTiCVbf//B5u72pmkZD18JzdrDz+eBIKXHdKVS1HiEEejDE6vsf5vg7rzO0fw/Htr+NaZpEUnWs/vhDl1TKKRSF9pVraOheyODenYweOoBRKNC3/W1O7txO59oNLFizfobg6DoOVrlEIByZU4iU0kGIC3tMv9xdM9+P5zrkxkZJNLegapcmmjpOhkIxR6l0DMfJ4noFXDeP6+axrWqGYSJx14z90fVGEvG7yOefJ5P9GaHQYhTltNBXLL5DqfQOkch6otEbfUP06xRflPLx+QiSG5v2k/KzpHx8fHx8fOYdxzSZPHGc8WOHyQ4PEknVs+rjDxF+n6eQ57qMHtrPife2YZXLs9bjuR6lzFTV66nvGFDNGmroXkgxPYlrOyTb2j+QEKOo2owSpstJY3cvjd29l329c5FsaWPxzbdz5I1X6Nv6JlogSNvyVR9oXbmxEfb+6mk8xyXZ2sbKex/wM2OuAXK5ZygUXiUcXkVDw+MIoaOoKotvuYNoXQNDO7fT0NzG8jvvu2xdGoPRGIu23ErPxpuYOH6E4X27KUxOcGLHVkYO7KN7w2Y8x2Zq8CSFzEHUUAYJKIqGFgiS6qwn0RbEtsdw3TxCCaAqcRQ1hqKEEUJDCA3bTpHJjuA6OVw3iyctVDWOptahqiki0Q2EQ8sueX8sI8vQkefIjL2NVKZQD3SxbMu/Jhw7t+A6F55nkcs9Q7H0FlNTIQzTqHnAnYmmNxMOr5n1eiJxF+XKbhx7nGz2GerrPwNAqfwemcwT1XitIfKFl4jHbiUWuxlFCV90nD7zhy9K+fh8BMmPG4Bvcu7j4+Pj4zPfDOx+j/7tb9e6xgGUptK899MfsureB0m2tU+X0B2lf/vbVPI5AELxBD2btpBqbQehIBSB6zhUshnK2SmKU2mmBk5gVyqMHjoAVDuTrbjzvo+8303bitWUMmmG9+/l8GsvYZaKdG+4sZahUZycYPJkH0Y+RyWfq3pwxWL03nQryZa26jxTkzVBqn5BF6vue/Cs5Xo+Vw/LGqZQfA2ASmUf4xN/Q2PDl1HVane89pVrWH/nPYyNj8/KULPtSQqFF3HdPIoSmf4J4UkLzyvjeRUUJUw8diuBwNzlfqqm0bp0BS1LljPZd5TjW9/EKBQ48vrLKHqFUEs/0e5JhIAzN18ogKc3EIrFAZCeheOlwUmfnkmA584WdVwnh+tUrwvlym5amr9+1vjOhVmeID32OoXcdozKcaTncVrbOcThnf9vupb8AXUtm/E8k0r5CLnJXQTDHdQ3344Qs68rljVEeuqfcewJEBAMtQIaihpHVZOoSgJFiZMbTmOlw4zlDqGHIwRjMaJ1DdOZkBr1db/B+Pj/pFTaRiSyDpBMTf0IgHB4JbY9iuNMkcv9ikLxderrPkM4vPKs+2pZw+RyvyQQ7CIRv8f3qppn/Cunj89HDNtwKWerflJJX5Ty8fHx8fGZN0qZKfq2voGUEKmro7l3CamOBRx981WKkxPsfvanLFi7kfTJfoqTEwDo4TDd6zfTtnwVijq7BD8cT9SMsqXnkR0dZvL4UfLjoyzcfDPB6YfejzJCCBbfcgdaMMTJ97Zz4t1tmKUiqbYOhvfvIT9tfn0mVrnErqd/QtuK1bQtX82eXz6NY1okWlpZee8DviB1DSClJJv9GUhJMNiDbY9hmScZH/+/aWz8HXS9ap7//s+N65bJF56nWHwLpHfe7ZRL7xEKLyeRuIdgoGvOeTyvQrIzxOrmTYz37SY7todA3Qh6OEQg1EE0cQNIHdcyKUyOMnVyHGMsxpKbPkWqZTmeNPDcIq5bwJMGSAfwSKUS5HImqppAVZMIEZwugctSKm3DMA4zNfUjWlq+MaME0HEyuG4WXe8mM3CCgd3v4VgmiqqgRkcR4eN4YnTGPghZR6pxM7G6XoaOfRePAieP/1emppZgmSNYlSLSq6pjw31P0Nj0aVp6bkMoCrY9RLm8i0LxdZAeqpqgoeE3Wbjw9hklq1alzMGXf01mcGDWMazrXMCy2+8lGI0SDPYQi91Esfg2U5kf4XllkC7hyA001H8B8CiXd5EvvIhjTzA5+Y9Eo5tJpT45o6RPSkmh+Bq53C9BuhjGIQCSiXtnbNs0+3CcNLreTiDQMr2sg2H0Y5pH8LwKicT9qKqfGXk58K+ePj4fMU513YukdPSQ7yfl4+Pj4+MzX/RtexMpoaF7Iavue7A2Wr/uk5/m0MvPM9F3jBPvbgNA1XUW3FAtn7tQQ2yhKHMafvtUhamFm24iGI1x9I2XGT10oJZRpqgKDV0LiTU2E04kCEZjjBzcz+jhAwzv38vw/r0AROsbWH3/w5fsteNzeSiX38M0+xGKTn3940hpMTH5dzhOmrGxvyQcXkEkuh7Pa8R1yxjGUUzzGOXye3hetYogFF5OJLwGz6vgeSU8z0QoARQRRlHCmFYf5fJOjMpBjMpBNL0JXW8joLeiqHEsawDT7Mexx2txaSloTAE0EwotIZl8iECgrTa9pV2yf+KXTI4e4/BLe9jwqRUEo42gzexAKYSgsaEZx5kpmmpaCugiGOxldOzPse1R8oWXa0KLYRxjMv1tbCNHKW1QHEpgZVvQYllC9SeRAaOWeCW8RkL6KupabqGp+4ZaVmUsvpFD2/4cTztAYeowAJ4dBLsJERrFZYyx0f/J6IkfEUh4qEEHVddRFBVNLCbAnWRLDuPiOKbjoocj5EaHOfDic1jlEoqm0tjdi2OZWJUK5cwUmcEBdjzxzyy9/W4au3tJJh+gUtmP62QBCIYW0VD/m9PXTZVodAORyBpyuecoFF+jVNqGaR4jHF6FokRR1Til8g5M4zgAgUBHtewv92tUJU4stgXPs8jmnqZU3Hr6uCs6hWI3udwJpGfXXjetkzQ1ftUXpi4Dvig1DziWx/jxErbh0rO+br7D8fmQI6XEdSSqVjUCzU2LUonm0DxH5uPj4+Pj89ElOzJE+kQ/QhH03njLjPIRVdNZcc8niLy3jeH9e2hZvJQFazf6fkVXgPYVqwlGYxx48VdowSDty1fP2TUt0dJG85JlHHntJSr5HKF4gjWfeAQ96N9PXWmklBjGAcqV3WhaI5HwGnR9plG/51XI5n4BQCJ+z7RQAy3NX2cy/R0s8wTl8m7Kld2USz+lXMnNKIHT9VZSqYcJhZacM5YYW0jE76VQeJFS+T0cewLHnqDC7lnzqmqiWqY2LYiEI2vn9HsSQrDs9nsoZ6coZzLsf+FZutZuRCKRnsQsFShOTlCcnMA1ytiOSziRJJxIEqmrp6Grh1hjM6oaoy71COn0P5PPv0hAWUJu8jC54hM4ZhnbqApv4ZYMdYuz6KEQUiYQNBNQ11PfdAeRRMec+x2MJFj1sX/P4beepJQ7SrJhDc0rNpJobsUojjN0/J8oV3bgBSexTbAqCk6xDivXgFNQgNdAQH8wiGGaqJqO59i1LNGV93yCaF1DbXulzBQHX3qOYnqSfc89Q/vKNSy+5Xbq6j7NZPrb6HobjQ3/YpYhvBA6qdRDhMIrmJr6AY4zRaHw2sx5lACp1CeJRjaTzz9HPv8imeyTeNKkVNpWFRSFIBBYgGOP40kDozKIlDaKGiMUXIxhHsW2hpmY/JtpYeriGjTMF1JKPK8IqAhR/an+f37LF31Rah4wCg4n3ssiFEHbMj+F2ufKUMpapE9WmDxRxiw6aEGVSFKjkncA30/Kx8fHx8dnvpBScvydNwBoW7aKSGr2IKUQgp4NN9Kz4carHd5HjoauHm750lcQyrkfzuraO9n4G4+TPtFHqr3DFwmvMFJKKpW95Asv1rqzAeRzv66aYodWoGl1KEoMwziE5xbR9Ebi8dtq86pqnOamr2Hbg5TKO6lUduN51QFaTW8mFFxMKLSYUGjFnJ5Ic6HrjdTXf45k8kFsexjLHsW2R3DdAgG9jWCwh0Cg56KECi0QYNV9D/Hez35IfmyUvc/9YvZMAkLBIK5jU0xPUkxPwnQ2ZSieoGnhItRAgKKl4dHPxNF/j6JbANj5BirD62haESXZVcaVIyhqlHjs9mlj8PM/F6iaxorbPjvr9XC8hcVr/w1G5SRT4+/glMKY2QgVCqhhCyWqoqjVz5biOZijI7h2NeOoZelyltxyx6zsz2hdPesf/Qx9299mcPdOhvfvIdnaRvOiFbS1/X9Qlfg5369QsJfWln9NqfwurpPF9Yp4bglFCZJI3o8+nYWWSHwc1y1QKm0jl60ec1VNUF//m4RCi2udHJNJm2xOoKnNCCGw7THGJ/4G2xphYuJvaGr6vWtamJJSUi7vJpf/9YwsPgBFjdDR/v+bp8iq+KLUPBBrCBBvClKYMBk9UqRn0XxH5PNhIjNU4eTuXM036hSO6ZIfnzZRFYJEc2AeovPx8fHx8TmN65axrBNEImc3pL1WMQp5iukJonUNyNbWi1p2su8ohYlxVF2je8PmKxTh2an6uXjnbTtvmMfJ557DcbMoSrhaAqOEESKIUAIIoaMqcUKhZeh609UJ/gpxoZ5QqqbRvOjc2TQ+F4btTJLL/gLXzVfN+qnaSnjSnC6fKyOnBSShBIhGNuG4UxjGERx7nML7Hq4BUqlH5sieqWa9BAILqEs9TF2dSzptoCixS4pfVWOo6lJCoaWXtJ5TRJIpVt33ECfe3YrrOIhq8OihEPHGZuJNLSxauYrhwQHKuRyVXJb8+ChTJ/sxCnkGdr8HgNDqiS/uQ9EtVE1DE6to6n6Iupu7agK46xZRlCBCXL7S01C4i/buuT22qrsiaGtrY2hwkHIuC1TFp7OhqBqLttyKpgfo37GV/u1v09izCE1NXlA8VVP6j51zHiEEdXWP4XllKpV9hMIrqK/7TM0YXwiBrjeSTLZRLp/2wtL1Fpqbfq8qTNmjjIz8/9H1VnS9DT3QTkBvR9fbamKf7UxiGkemy0uD6FoTmtaErregaVeuckpKSS73LqNj38e2RuY+BteAJDT/EXxEaVsWpzBhMna0hGO751/Ax+c8VPI2/e9myY5UU3OFIki1hWjsjpBsDWKWXCo5m3LeIVqnowd9PykfHx8fn/nDdQuMjf8VrpunRf0a0HbeZa4Vxo4e4vBrL+I5LgjYH4ujRqKEkinC8QSheIJANHY660bK05VCUtK37S0AOm/YQCBydUfXpfSYmPw7TPMomlaPYSzCMKJoWiOa3oyuteC6eXK5Z6lU9tWWc8mcY61Po+lNhEMrCIWWEgh0+i3Zfc6JYRwmnf5uzcvpbChKiFjsY8Rit9a8ezyvQqWyH8s6ietNm4G7RULhFXOWx52JEArhcAeqOjKr+961QKqtg9RDj805TQhBOJ4gkqonnDwtZLiOzdTASdInjiOlJNbQRCC5Flt5g0TyVuLxu2dlAJ4SXeYDRVXPKUa9n8416xnav4dKPs/oof20r1xzWeMRQqWh4Us4bhpNbbjgUraqMPX7TE7+PY4zhWUNYlmDUDo9j6Y1IPFwnbNfP09dO8PhlQQC3RecsXcuqiWvB8nnn0NRprBtA6GEiMdvIx67FSECgIuUDvICzP2vNL4oNU/Ud4YIxjTMksvgwQzBxvMv4+NzCtfxGO8rYRRsbMPDKrtkRw2kJ6fLQmN0rEygBU5f1PSgSqzez47y8fHx8bk2UJQYgUAHlXKGyfS36ehYfsHL2kaFkQP7aOpdTDiZuqjtlrMZKvkcsYZGApHoRXlpeJ5H39Y3GdyzE4BQPIFdKePYFsXxArmx0XOv4AwCkQgL1qy/qNjPpFpWkkVVE9O+IBdGqbQN0zgCgOOkyedLs1rM1/rVC0E0uoVoZD2eZ+B5ZTyvhJQ2Ulp40sa2xzDN4zj2BAV7gkLhVaBaGhUMdBOP3zbL/+diqFT2USrtIBrbcl7Bwefa53T3s2dASgLBLhLxO6enVQfqhRKsGYtrWmpWNo+ihIlGNxKNbrza4V+TqJpO08JFNC2cWX4j5T3z7hV0OVB1ne71mzn65quceG8bLUuWX3CzhwtFCFEr6bsYdL2Z1tb/HcdNY1sj0+Wcw9VyTieH46SnN6ASDHQRDC0G6WI7VS8y2xmfce0UQjtjgKAJTatHVVNoWj0gsKdLRW17FEWNEQz0EAh2o6lJPM/EcSax7TGKpbewzJMgIBJOkkh8jHjsVhTlzJJj5bJmyl0Kvig1TwghaFsao/+9HP27J1l6V2K+Q/pI4+Vy2K++CsUi+t13o7R88Juns+E6HhN9ZTJDFTyP6Zs/iR5WaeyKkGoPoSjn/+KQnmTHs/0MHJmq3jCeQV17mO71ScKJa+MC4+Pj4+PjczaEENTXfY4xexzHGefEib8mEnkcOLfA4to2e375NIWJcUaPHGDjpx9H1S7slraczfDuT3+Aa1f9FQPhMLHGJoKxOHowhB4KIRQVq1zCLBUxS8Xqw0o4QiAcppieJDs8BEDXuo30bLoJAcSCAfoO7qecy2IU8hiFPFa5XBN2OOPrXSAQikL3xhsv+sHKcbJUKnswzeOYZh+eV0HTG0klP0k4fH5Rz3WL5HLPApBM3k8w2EU87jA2fhDbHsO2x/HcIkhJKLycVPLBCxKUPK+CYRyhYuzHMk/gOFM49jiOPU6pvIN47FYSiXsvyLfmzH3NZn9GpbIfqIpT8fgdJJMfP2/Zoc+1heeZWNZJTLMPwzxSfVgGotHN1NV9yn8/rxAfBkHqFG3LVzG4ZydGIc/Qvl10rds03yHVOCVoVUWt01lcrlvCtoeReAQDPXNe/6rXzsNUKgcwjIN4XmVaeBqlcgHbLlL1JlSU0KysQ6HoxGMfY8mSzzExUbwmMwNP4V8B5pHm3iiDewuUsiaZYYO69g9f9w7bdFE1BUW9Ni+KXi6H9dLLONu3g1sdnXH27Ue/+Sb0u+9GhC8+9dyxPMo5G0UVtf2ePFGulmqac5dqpk+U0YIqDV1h4g0BglGNYFQlEFYR7xOq+ndmyZysrr+xO0ogrKCHVCIpnUSTb17u4+Pj43P9oChBGhv+BePj/51S6QiW9Qyp1CfnnNdxMniex6EX36AwUfWSqeRyDOzaQc/GLefdlus47H/hl7i2gxYM4k63Hp8aOHlRMauaxrI77qWpdzFQfSBJNDbRvGjpFb3pt51Jxsf++6wHD8eeZHLy76siUuqT5xztz+WexfMq6IF24vE7UBSNxsY2bHtFLXbXLSOleVE+J4oSJhK5gUjkhul1FLGsAUqlrVQq+ykUXqVc3kk0tgWBmM6I8dC0RgKBBWha1TzY8yxsexjTPE6+8BLSs0AohIKLMIwjFAqvYFp9NNR/4Yr6sPhcPkqld8lkfoKUzukXhUIq9TCx6C0fKuHE58qhqCo9m7Zw8KVfM7D7XdqWr0YPXdvPzqoaRVXP7T9XvXauJRJZi5QerpvBtidwnPFqNpWTwXWzuE4GiYeuNVd9q/QWXDeHaZ3Atkdq3wuKGkXXmghMZ6lqWgJNiwPFq7DHHxxflJpHVF2heVGUqT6LkYOFD50olRmqcOj1NIomaOyK0NgTId4YuCa+fLxcjszLL1N54QWkUxWK1EW9EAjiHjiA/cabOLt2EXjgAdR16y4o5mLaYvRokfSJMp47901pMKbRuiRGIKzWRk2LkxaTJ8rYhsvYkSJjR07Pr+oKbctitC+Po+oKY8dKjBwqEgoGWXxTPQ0L5sevwZuawj1wAJnNgqKCqoIikJUKslBEFgtgmKCpoGkIVTtdCgCMx2OYoRCitRWltQ2ltQUR8EsLfXx8fD6K6HoT9Q2/SbHwQwrF11GUGLHYTTVPItctkss/R6n4DsV0luzEQhQtSefqdZzcuYOBXTtoXrR0zg52Z3L0zVcoTaUJhMNseOzzaMEApak0xfQkdqXaLt02DTzHIRCJEozGCEarfk+2UcGqVJCeS+vSlUTrG865rcuN55mkJ7+D5xloejPRyEaCwV40rZFC4SUKxdcxKgcZNQ4TDC6sejuFV8wQqEyzn1JpOwB1qU+dteSv6ttzaV3lVDVGOLyCcHgFFeMQ2czPqqWCuV/POb+ihFDUBI4zMSMLPBDspr7u0+h6K+XyHjKZH2OZJxkZ/TM0rYlgoBNNW43jdKJeoPmxz2lsewLDOAyCqsm4UNC1VgKBBZflfr1SOcBU5kcgPVQtRTC4kGBgIaHQUl9U9LlomhctZWDXu5Sm0uz51dPUtXcSa2gi3tRMKH79Vx0JoaBpDWhaAzAz87U6aODOmVVYLdtLo2mp95XnXT/4otQ807Y0xlR/hty4QSljEa27th/MZbGI/dpriGgM/bZbzzpfMW1x+M0ppCdxLcnY0SJjR4uE4joLN6ZItc2PAOflctgvv4K7YzuepiNdF3VRL/rdd6MuXAiAe+QI1s9/gTcxgfmjH6Pu3kPgU4+iJE/f7DiWRyljUck7VPI2hUmL0pRVmx6ITHcPccFzJdGUTtvyGPWd4Vlf8o1dEbrXJcmNmUwNVqgUHKyyg1lycW2Pwb15xo6WaOqNMnKwAMDSG1uJdXpXdETWm5rCfuMNMAxEOAKRMLgu7sFDeCNzd2+4IASYwRD2Gf4VIhxCv/detC1bEMqlm/v5+Pj4fBT44Q9/yI9//OMZryWTSf72b/8WqN7E/uhHP+KFF16gWCyyZMkSvvKVr7BgwYL5CPecRMKriYSLnBx4glzul+TzLxAOr6qKLsXXkZ5BOZfBLOWIde2js/vf0di9imJ6gqmBkxx542VuePBTZ32QHj18gNFDBxAClt99f01sSjS3kmi+uM55VxspJZnMT7Dt0en29l9FVU8/gKVSDxGNbiKbfRrDOIJpHMM0jkH252haA8HgQgLBHoqF14FqyVQw2H3V4g+HlhFq/X9RLL6FbY+AUBFUv+ttexTLGpr2q6qO9KtqHD3QQTi8mmhkU+09jUTWEAh0MjX1fUyzv1oe6IwzPLwf0/JIJj5BLHbzZTEJvp6R0q1mTkgLpIuULpqWQtdbz5hHUiy+SS73zMwMpmk0rYFIZB2RyFpUNTn9IKxelFBlmv2k098F6RGNbqSu7rPXxMC0z/WLEILeLR9j76+epjA+RmF8rDatefFSem/8WO3a/mGj+tmZW7pRlCCBQPvVDegy44tS80wwqtG2KEnfPoPj27OsurvpnKVuUkqssksgcnFfDJeKdF2ct9/GfvFFZKV60+D19+P9q2/MmtcsORx8dRLP8Ui2hmhfEWeyv0x6oIJRsDnw8gTtK+IsuCF5QR5KlwtvZATjb/4WaZogILhqNWLLjSg9PUgpOb4tQ3bUIBxPEb7jXxA8cRD93VcJHTqE99/+L/R77sYgxOgJh4kJBekx7RNR/RFCUh8zaE6UiCoWeB4o0+ZReQ/elljSg2AQ/WMfQ2k8PXp5qlPemWKdlJL0QIWB3TmMgsPw/jwAjd1RFm9qZnT0ws1ULwZZqWC//DL2m2/VShpnoSioC3tQOjqqI5qui3Q9RDiMiMcQ8TgiFEK6LtgOuM708VCqHiLJJBMHDuCNjuINDyOLJaynf46zYweBRx5F7br2Hph8fHx8rkUWLFjAn/zJn9T+Vs4Q9n/2s5/xi1/8gj/8wz+kra2NJ554gj/90z/lL//yLwl/gPL0K4H0vNpgRGvroxQKDoXi2zj2OOXyztPz2Ukm90QJt1rE2yJ4kVeAZSy+5Q62/+R7ZIeHGD96iJYls32VMsODHHnjZQC6N9xIXXvnVdiz0zhOBtPsQ+Kia41oWiOKErvg+7hi8XXK5V0gFBoavjhDkDqFrrfQ1PS72M4kRuUAFeMAptmH46RxnHQtQ0pRIySTD1zW/bsQhNCIx2+bc1pVRBnD9QroeiuqkjjrsdG0Opqbv4br5rGsIWx7GFUdwDAPkM0+Rbmyk/q6z1ySsfr1jGEcIZN9CscenzUtEOgkGttCMNhLNvMUhnGo+nqwu5plJquduEyrb9oA/wXy+RdOr0AIFCWMrrWgB1rR9RUYRgBNa6l1xTuFbY8xOfkPSGkTCi+nru7TviDlc1mo7+xi42OfJzsyRCk9STE9QTE9wfjRw6RPHKdr3WY616xFUX2Z43rCf7fmCWlZyGwWtaWFZVtaGTg8QXHS5OjbUyy5pX7OC3cpY3HsnQyljEVDd4TeTXUzuqtd1vgqFbx0Gjk1VS3V2rkLb3wcD8FE3Q1oxSkaDh1k7D//Z7xPfxoaGpCFAvbgKPvedbG8INGmCEtvbUDTFVKtIRZu8jixM8fYkSLDBwrkx02W3NJAKHbu09DzJOPHSughhfqO8CyPpQvan2IR49vfQZomSkcHwYcepPmWWxgZqbaDTZ+sMHa0WmtrFh2yIwALkIs/ixgdJFIaRfnlSXJKI3K67i4oDUKySIgSIVkm4aXRsQGYPeY0E3f3HoJf/AJqb+9Z5xGiWvZY3xlm/FiJof0FQnGNxTfNfX58ELyJCaxf/KIqPqkaqCreiRPIchkAddEi1CWLq2V55Qo4DuqiXtTlyxGRD5YeKoQg2tZGfloMlJ6Hs20b9nPP4Q2PYHzzm6irVqJt3Ii6ZAlCPX9HISklXl8f3ugoIpVCqatD1NVNf85yyGwGmc3iZbLIXBaZzUEggLp0Ceqy5SjtbRd0TKWUyEoFrvEadh8fn48OiqKQSqVmvS6l5JlnnuGxxx5jy5aq39LXv/51vvrVr/L6669z3333XeVI5+bw6y9hGxW6122mra2NePxWotFbsO1BSqXt2M4E4dBaDj57GKeYI6rfQCS+E8s8yVTmJ9TX/Sbd6zfTt+1tjr39OmapSKp9AfHGJrKjw5x4dyu5kWEA6joWXFFzXM+rYFnjuO4UjpPBdsYwzT5cJztrXkUJE0/cRTx2+5zfP1JKHGeccmVPTRhIpR4mGFx4zhh0rRE9fhvx+G14XgXTPIFp9U0LVJPUpT6Fql5bmQRCqBc9yq+qCcLhBJHISlpbWzly9Emy2WewzJOMjv0FqppC11vQtWbC4TUEg11XKPprA8dJk83+gkplH1DtXqeqiVpJnm2PVdvVTw3WlhFCI5l6cJavk+eZVIz9lEvvYZhH4FS7eCnx3DKm21cVruz3al0bVTWOqtXheZXpDo3lWme9hvov+EbmPpeVaH3DjBLqwsQYR998lfz4GH3b3mL08H4W3XQbDV098xekz0XhXyHmAffkAOY//RMiHCb8r/+IaCrIstsa2P/SBOmTZYIxje61p0vFPFcyuC/P8IEC0qvWO6VPlClMWCy+qY5ky+V5QJZS4h0/TunN7UwcKRBzp4jJ3OnpkRgnex8kJ+rBMNDGXiE0OoL5V38FiopbMTimraMkUgSkQXf/PpyhBpxIFCEAodARDBLvXUPfQIhi2mLnM6O0LIrSviJOMDL7dCznbI6+NUUpUy2NC0Y1WpfFaO6NoumzBTkpJXJ8HJFMIqaFA2nbGP/0XWQuh9LUSOh3fhvlDEHFNl36380C0LokRjipU8nZlLI2pYyCu6CXYqYOWciDopKKO7S1ucSTMYQbArcOHAfEIhAKKOL0b0WpZQedes3ZsxdvYADj7/+e4Kc+hbbx3O1sFUXQuiRG65IYUsrLll0mpcR84gm8E7MNXpXmZvQHPoG6dOkVH9kSioK+ZQvaqlVYv/wVzrvv4u7bj7tvPyIeR1u3FqW3F3XBgllCmJSy6gH28st4g0MXvW3v5Ens519AJOIora2IZApRl0KEwmCZSMNEGkZVyEpPMVQpUykWUZqaUVeuRF25AqWjwx/98/HxmTdGR0f5/d//fTRNY8mSJTz++OO0tLQwPj5ONptl7dq1tXl1XWflypUcOnTorKKUbdvYtl37WwhRy6q63Nc62zAYP3YYz3WZOtnP5KG9NCxZSaK1jWCwqyYk9O94h3I+RyASYdGND+DK1YxP/C/K5ffQtSYW3HAXE8ePUJxK07f9beBtVFXDdatDRIqq0Lp0Jb033oJynoEOzzOwnQkCeucF768QgnxhL8PDf4knzTlmUAgEOlGUEI49ieNm8GSFXO4ZHGeC+rrHag/trpunUHiDcmUPjjNZW0U0uoF47GMX9R6oaoRIZAWRyIpzxn7m7+sNIUTVaD5+C+HQCjLZn1Kp7Md1M7huBoODFItv0Nz8+wSDPfMd7gwu9dhL6WIYhymWtmJUDiJxQSjEY7eQTN47w1vGdYuUSjsolt7BcSbR9TYaGh4noM8uXVXVELHoBmLRDdM2EQ5SOkhp47oFbHsMxxkjECzhZI7iOFO4XgHXKsxYTyDYSVPj76Cq19ZA3vV8zl/PscOViz/R3Mr6Rz/L2JGDHN/6JpV8jr3P/ZyGBT0svvk2wsnUJa3/ej7u10vsQl7LvQGvASYmJmbcnF0OZKVC5b/+ObJcJviZz9D18EOMjIwwfrzI0benAOhYlUDVBOWcTWHCwixVb6zqF0Ro7o3S/24Go+CAEHSsjLNgzdlTnedi/PmdDG0fIapWSMVt4kmwRiYYzcSYVNrxUBCaRmOswIJ2C7W5iWP2YvLp0+VcivBYb76NfXg3UkK/topssBNV9VhSeoewmz/r9u22HgYab6EgE9XqN0XQ3Bsl2RIkEFEJRjXSJ8uc3JXDc2U1I0yAY1ZHa1RdYeHGFE0Lq6N9slDAefdd7G3bkVNTENDRVq9B27wJZ+tWnPd2IsIhQn/wByhNTQghaGtrY2RkhKNvpxk/XiKc1Lnh/pYZ5ZPSk5SyNsVJC8twaegKE01dmu+XtG2sn/wEZ/ceALQtW9A3b0K0nc7W8XI53P37kek0orkZpb0dpaUFoeszYr+Uj6+zYwfmT56AQIDgI48AEuk4iEgEdcWKC8pQ+iCcL35vdAxnx3acXbuQxdKMaUpzMyKVqpYCei5eLo9Mp6sTdR11US+yWEROZarZXkIgEglEKomSqqsKTskkSl1d9RgfPIR77BhY1qw4ZgcOoWCoNipYQ9er25kWIJXuLvQtW1CWLJnxmTyzROVqc7nOmfnieo7fj31+mO/YdV2nqanpim/nvffewzRN2tvbyWazPPHEEwwNDfHnf/7nDA8P8yd/8id885vfpL6+vrbMX//1XzM5Ockf//Efz7nO9/tULVy4kD/7sz+7YvtQmJrkyNtvcHLfHqRXvcdo7unlhnsfIN7QSCE9yYt//00812XzI79B54rVAExOvsTQ0PcAaG//LMn4bQzs28PEiT4mT/ZjmwaKqtGzdgNLttxCJHF+E+xcbieDQ9/BsfOEI920tjxKPL76fVkkDooycxCtXO7n2LH/gueZaHqCYKCFQKCBQKCJaHQxkcgiVDV4xjospqZeZ2j4+yAlsdgyOjq+QDr9Cump15Be9b5TCJVYfCXJ5AbqUjfN2q7P3DhOAcMYxjBHyGW3UyweQtdTLF36/53uQjU3hjmKriVmlaJduThLmOYIgUATun7hJu2uW2Zy8kUm0y/j2KcHj2PxFXS0f55Q6OxZZ1LK6W02X7bzyXUNTHMEy55CVaNoagxNi6FpyWv+Qdjnw4dtGhx881WObd+K9FyEoqIHg0jPw/NcAqEwC1bdwMJ1G4lcoljlc/nwRanzcCVEKQD71dewfvlLlLo6ev/znzE6OYmUksG9eQb25GbNr4dUFm5K0bCg+kXpOh797+YYP1YtOVt8cz1NPReWjj345Nv07yzUytAANBw8BFLREckEkc4GDLv6ZaWHVQIhlVLGQtUVlt3WwMCePIVJi6b2BD0daQYHFYaHBIqqsPyORpJNOnJsDG90FGlN+ysB3vg4zns7wbaRQCnWwVjDOop6I4TDvP+rS5oWCWuMzrHX0TyLqVgv40onpoiA59EcSNOh9CNHhsGdTi9WldP/P4WiEPqXX0ZdfLp9c1tbGwd39rHvhWrd/ap7m0k0BbkaSCmxX3gB+8WXaq+JuhTqosV4Y6N4A4OzF1IV1K5utM2bWHDvvYym0x/4YUuWy1T+4i+RpRKBBx44p2n95eZCHxal6+IeOoS7/wDewEm8ick55xOhENpNN6HfcjMiFju9vGlOd/47t7gmHQdvYKBaqprNVbOiyhVEMIgIhyAYRMQTKE2NtK1YwXguh3P4MM6+fbiHD4M19/VB1NejrVqJzOXwxsbwJtMojY0EPv0Y6mUyGZaWhbt3L8qiRTOM+GfFch2LC3B9x+/HPj/Md+xXS5R6P4Zh8I1vfINHH32UJUuW8Cd/8if89V//NXV1p7tcffOb3ySdTp9VlDpbptTExASOc77i9A+OWSyQ7TvK4W1v4bouiqLQuWY9+bFRsqND1Hd2s+YTn5zxkJvLPU8u/xwAdalHicc/BlQHAUqZKQKRCIHw+QUG1y2SyT41w8PqFMFAD4FgF7Y1gm2P4noFwuGVpJIPoetNOE6asfG/QtccEAtoavztCy5VqlQOMpn+J6ScOTASDHQTj99KKLQcRbmy9yVCCFpbWxkdHb3uPudw/vg9z2Rs7P/CdiYIhZbS1Pg7cxqhFwqvkck+jarEaWz88mUv96uWY45RqRzCtPqxrWEcN0soGMQ0TQKBbsKR1UTCa87alc51yxSLr1MovoHnVQBQlCjRyAaisc1zZj1dKa7n88aPff64mvGXs1Mcfes1pgZnV4QACAT1C7ro2XQT8cbmc67rej/uiXCIqWwOLXh1nnPPRNO0C7of8odc5gntpi3Yb76Bl81QfOMNWLYMgI5VcRzbIz9mEk5oRFI64YROoiU4o1xN1RQW3VhHMKIysCdH344siaYgwejZ31LP8zjxvTcYPGICgqaeMGpTI5kxG9vwEKpCoqeBrvV1JJqDFCYsjm3LYORt7IqLFlBYcWcTsYYAobjOnl+NUUibHDCiFNMmQkDv5jpSrdU0XdHejtI+e7QmcO+92Fu34rz9NrHiELHiEEWRJB3pxQqnsEQIWwZQbIP2wh4aveGaWNVg7qOefYwqCxlRexhFpyQbWeiOEljQgX7jZtQ1a/BGRnC2bcfZswdsm8DDD9cEqVM4tsuxrRkAWhbHrpogBdWLW+Dee1E6O3G2bcc9ehSZyeJs335qBpSuBagdnXgT43hDw8hyGbevD7e/j+Hnn8deuhSlsxNRX1/9CYfBMKrlZuUy3sTEtDA4hrRM9C1bUNevRwiB9dxzyFIJpaUZ7Zabr9p+XwxCVdFWrkRbuRIAWSrhDgxAuVwri0TXUXt6qvv+/uUv8MIrNK3aeXHhuX06hBBojY0I20ZbuxZt7VqkbSML0+nq035T7s5dOO+9i5yawn7t9Rnr8MbGMP76b9Dvugv9zjsuKRvNm5jA/N738MbGEbEowS996bKJXT4+PtcnoVCIrq4uRkZG2Lx5MwDZbHaGKJXP50meQ8TWdR1d1+ecdiVvxoOxOOs+/iCJnkUcfeMV0if7OblzBwCqprHkY3fMiiGRuAcpbfL5l8hkfgaoxGJbQIia38j5YjaMY6SnvovnlkAI4vE7iEVvplh8g2LxLUyzH9Psn7FMpbyfSuUgseiNGOZRXLdIPL6YWPRLgHrBxykUWkZz09eYTP8DrpMjGOwhkbiXYHBxTXy7Wg9AUsrr8mHrFGeLX4gADQ2/xdjY/8CoHCaXf4Fk4t4ZyxUKL5LLVcVN1y0wPv5N6us/SySy7gPE4VGp7MZxppDSReLieSUM4wiuk3lfcKDpSQxzrHaeZbO/IBJeQyJxH7pefVB2nGz1fCy9g/Sq5aG63kI8cReR8JqaCDof79/1fN74sc8fVyP+cLKO1fd/EiOfw/NchFAQqkpxcoKRA3vJDA2QPnmC/PgYmz/3W+jB85eZXm/HPT8+Sv/2t6mkJzBMk1AsTqyhkVhjM6n2TuKNzectab9a+KLUPCECAfQ778J6+inyzzyDWLgQpkuzetanLng9HSvjZIYNimmTo29nWHl346xUWem6WMdP0v/CccZHqh+kBWsSdP/GZoQQ1baw6eooXawhUFs+0Rxk7SdaGNqfpzBh0b0hWStdC0ZUFt9cT9/bRYpT1S/IztUJmnvPn60lYjECd9+NfscduEeO4O7ZQ2zffmKl92C6WksikFT9lNTVq9A3baoaV2cyeFMZuooF4kaMvuEYZdHBkcRGej/WRqgjhBACtbsbtbubwEMPIotFlGmF1jZcMkMGmWGDXblJjKKDHlbpWnv2G/QribZ8Odry5dWMl2PH8Pr6EA0NqCtWoCROd9eRUiIzGZxdu3C378ArV7DfeQfefueCt2UODKK8+Rbapk0426riV+CRR69Ymd7lRkSjaMtnd1WaT4SuI84oiwFQOzvRP34fzu7deIODKPUNiJZmlLo67Bdfwtm9G/uFF3APH0bbvAmlqalalngRnbCcffuwfvyTajYYIIsljG/9L4Kf/zzaimvrGPn4+Fw9bNtmaGiIFStW0NzcTCqVYvfu3SycFt0dx2H//v188YtfnOdIz044nmD1/Q8zeeI4x956DaNQoGfzTYTiszvOASQS9yOlS6HwKpnME5Qru0nE7yAYrJZQu24ZwzyEY08QDq8gEDgt3hdLW8lkngTpoeut1Nd/pjY9lXqIePw2isU38TwTXW9FD7Qh0Mjlf4VROUix+DZQ7QjXu/CPmJysXPQDSyDQTmvL/4bjZNH1Vr/c6Qqg663U1T3G1NQPyeefR3omwdBigoFu8vkXKRReASCRuAvLHsWoHCCd/mdse5xE4u4LznwzzRNksj/FtobnnC6ERjC4iGBoMQG9g2Cwg46OXgYGDlAu76VS2YNp9lEu76Zc2UMksg6BQqm8E6Rb25dE4l7C4dX+ueLjcx6EELP8pMLxBE0LF1HOZdn3619QzmQ48e42Ft88d3fQax3PdRk9tJ/0yX70cJhQPEEoFid9oo/J/uMgqPlCGoUCRqHAZH8f8A6qrpNq6yDV0Unb8tWo2vxJQ74oNY9omzfhvP46Xr6A99Zb6Lfffs75pevibN2Ke/QYau9CtPXrEZEIS26uZ9cvx8iPG4wcKtK+PF41gN67l9L2PYyecEnLZlxUBLDwpkY6HlhXW68Qgnjj3FkliipYsGZuwaauLYy+Ocru107Q3Bulc/XcN4xnQ6hqTZQJfMrG6+9HlkpIwwTTAE1HXbN6hjhDUxOnJJQWIJ61OfT6JEbB4dBrk6TaQvRsSBFOVEd5RThce9jPDBscfiON53ggBKFg1b9q8ZYr18XwQhGBANqKFbBibjNSIQSivp7AXXfBXXdRn8sx+soreBOTeFPpajc5KaveRqEQhEModfUorS2IlhYolbBfeRVveBjrqacA0NavR13YcxX38qODCATQN22CTTO7PAU//5uoK5ZjPfUU3sAA1sDA6WXq66uG75s21s5Z6bp4/f24J06AaSItG1ks4O7bD4Da00Pg049h/fwXuIcPY/7TPyE/+TDali3+zaqPz0eAb3/722zatInGxkZyuRw/+clPqFQq3HHHHQghePDBB3nyySdpa2ujtbWVJ598kmAwyK23Xr2S7Q9KY3cvdR1dGIUc0bqGs84nhCCZfBCEQqHwKqZxlAnjaFVAEjqWNVD9fgTy+RcIhpaQiN+JYRyiUHgVgEhkLfX1n0WImRliqpogmfzErG02Nf42hnGUXO5ZXK9EU9NX0PUUUPlA+6ooYQKBCx+Y8Ll4otGNmGYfpdI2CoVXa+/9Kaoi5O1I6ZHLPUuh8Cr5/AsUiq8TDi0jHF5FKLQMRZn9PrlugVzul5RK1QE/RQlNi0YaCBUhdIKBHoLBRSjKaV/SU9/TmpYiHv8Y8fjHsKxh8vlfU6lUu9+dIhhcSDx+B6HQcv/73cfnMhBJplh0023sefYphvfvpn3FaiKpuUtnr0WklIwfO8yJHe9Qyc/t4ywEtCxdwZYHPkk6k6UwOU4xPUl+bITsyBC2YZA+2U9ubJiOlTdc5T2YiS9KzSNCVdHvvQeeehr71Vdr5WXScRG6hmhsREyn0LsnB7Ce+hne8Ej17wMHsH71HNrqVWg33ED3ikb69lQ4uStHuW8EY99RrLxBWTQhEQhVJZrS6L6plYYbl1y2fViyuYVAo40evDRRR+g66pKLjyuS0rnhEy0M7S8wfKBAdsRg17NjtC6J0bEyjh6qSljjx0sc35ZBepJISqehK8Kydd2U7Mx5tnDtIYQgtGIFwVSqNiIrXbdq1h0KnfVmRdu4EeuFF3C2bkNEIwQemH2j7XPl0dauRenuxnnrLbzRUbzxCWQuh5yawnr2WawXXkDbsAEsC/fgwaph+xzoH7sF/ROfQKgqwS/9FtbPfoazfQfWU0/jvPUW2o1b0Dasv6gMLB8fn+uLqakp/tt/+2/k83kSiQRLlizhP/7H/1jzb3j00UexLItvfetblEolFi9ezB//8R/XRk2vdVRNO6cgdQohBKnkA8SiN1EovkaptBXbGqlN1/VWNK2BinEA0zjChHGkNi2RvI9E/J6LftAPhRYTCn1juivu/A5s+VwYdXWfJhjsxTSPYpp9OM4UCEFd6rFq2ScghEIq9RC63kou90tcN1/NXCrvRgidSGQdsdhNBAKd2PYkheKrlEs7kLLqtxaNbiaZ/ASqGjtXKGclEGinsfHLWNYAhcJrIBRisVsIBi6vx5WPjw/Ud3bR0N1D+kQ/x95+jTWfeAQAq1Lm6Juv4loWPZu2kGi+en5tF4JZLLD3uV9QTFf9dgPhMB2r14KESiGHUcgTjMZYsHYjsfoGIskUuXKFVHsnqfZOWLNuulJqguzwIJ7jzFszplP4Rufn4UoZndeQEvGtb1Hs75/Z0QuqnbwaGxGJBO7RowCIcAht82bco0drAhVUF+2LbiKnNCENY3p5gVJXT7I7ScfmNlJtZxcsPgjzbST7fioFm/4dWbIj1f1XNIX25TGEEDXz+MaeKIu21KGqyjUV+8Vwqcfdy+UQqjrDFPxqcq2dNxfKlYxbGgbO3r04b7yJNzY2c7uRCOrSJYh4vFriGwiidHag9vbOXIeUOK++iv3yK7WyPgI6+ubNBO67j/aenhmxS8sC170uRKvr9ZwBP/b5Yr5jny+j8yvJlb4fupzvmeuWKVd2IoRGKLgUTUsB4DgZCoWXaxktH9Q36P3M9/l2KVzPscOlxe84WSQOutY453QpJZY9QKWyn0plL449UZum6U04zmQtCy8Q7CKVfJhgsPuqxD7f+LHPD9dz7HBtxl/OZdnxk+/huV61mYaicPDlX2OdMSjcunQFN33yU2QLRRzLwijmUVSN8AV0db3cWOUSu37+JOVcFi0YYMGaDXSsXot6Fi/I+T7mF3o/5GdKzTNCUaj7zd+k9D/+qtqhTlNBVcEwkZUK3vg4jFe7w2kbNhD4xP2IWAwpJd7QEM727Xh9/XiTk3SVdjKmdiMEhJf1ELlxHeGWeK2U7cNOOK6z/I5GcqMmJ3fnKE1ZDO49nc7YvjJB1w2Jj3za87m6tPnMDyIUQt+0CW3jRrxjx3Deew8RDqOuXInS3X1Bvl9CCPQ77kC76Sac93bivPMO3tgY9htv4u7bR+UrX4HGRrx8Huett3De2Yp0XQL33ot2y83XjbeYj4+Pz/lQ1Qjx2C2zXte0OurqHiORuB9wUdX41Q/O55rhlFh5NoQQBANdBANdJBP3Y1knKBbfolzZUxOoQuHlJOJ3Egj0fOTvL318rkciyRTtq25gcPdODr78axzTQEqI1tUTbWhk/OhhRo8c4Nd/PYDlONinkj+ArnUb6dl001X77NtGhd3P/IxyLksoHmftw58mFPtwfI/5otQ1QGj5cqJ//H/MUC+llMh8vto9bXISpXMBatdpc04hBGpnJ2pnZ3V+08QbHiE6lUZZuBDlfebLHxWEEKTaQiRbg6QHKgzsyWMUHHrWJ2lb9uH40Pp8eBFCoC5ePKtT5EWtIxhEv2kL2pYb8Y4cwXzqKbxMhsm/+r+xW1txBwfhjLbu1rPP4uzZTfDTn0ZpvbbSk318fHyuBKoame8QfK4zhBAEgz0Egz2k3IcxzKME9HZ0vWW+Q/Px8blEutdtZuzIIexK1RewbflKFt18G6qm07FqLcfffg0zl8GerkTQggEc0+Lkzh2YpSJLb7v7grrYnSqZCydSaIHAeec/E9s02P3MzyhlpghEotzwwKMfGkEKfFHqmkUIgUgmIZlEXbr0/PMHg1XTat+4Gqgev8auCA0Lwri2nHcjcx+fq40QAnXpUsL/6l9hv/AibN+Oe6IfJCjdXei334EsFbGffRZvcIjKX/0V2qrVqMuWoi5ZUs3INIyq79XoGCIRR122zM+o8vHx8fH5SKOqcaKR9fMdho+Pz2VCCwZZdvs9nHxvGx2r19K86PSzd6K5hXWPfIawkEympwhGY2jBICOH9nPk9ZcYO3IIq1xm5b2fQAvM3TjMqpQZO3yAkYP7qeRzhOJxVt37ILHGmWVtlUIes1hA1TQUTQckudFhMoMDZEcGcUwLPRxm7UOfmtVV8HrHF6V8PtQIIdACfjq1z0cXEQgQfPABGu67l+FfP4+6YjlqT09turp0KdbTT+Pu24+zezfO7t3V5RJxZL4wc13JZDULa9MmRDR6NXfDx8fHx8fHx8fH54rQ0NVDQ1fPnNOEENS1tWOg1Cqb2patJBiJsv+FZ8kMDfDWd/+OaF0DsfpGwqkUtmFgloqYxSKFiVE816utzygUeO/pH7Ps9ntoXrSUSi5L/7tbmTh2mHPZPgVjMVbf//B11SXwQvFFKR8fH5+PAIGuLoIPPjDL5FBJJAh98Yu4J0/iHjyEe/gw3vBwTZASySRKSwve8BAyl8P61XNYL76EtmED+u23odTN/cUoLQvnna24J08QuOdelNZzlzg4776H29+HftNNKO3tl2enfXx8fHx8fHx8fK4A9Qu6Wfvwp9n//LMYhQKFiXEKE+NzzhtvaqZtxWrqOxZw+LWXmBo8yYEXn2Pk4D5yo8NIr3p/Hk4k8TwXz3HwXJdYYxP1HV3UdS4g1tA0713yrhS+KOXj4+NzBXCliytdAsrF1YzPF2pXF2pXF3z8PmSxiJdOozQ1ISJV7xVp27h79mC/+Sbe8AjOO+/gbN+Gtn492o03IqJRxHTnD3vrVpw330JOdy4x+voJfeV3UNraZm1XSon93HPYr7wKgLN9B9qa1ej33INoaqp6601OUjo5gGxrBc3/2vLx8fHx8fHx8Zl/4o3N3Pi5L1HJ5yhNTVJMT2IU8uihMMFYjGA0TrS+nmhdQ22Z1fc/TP+Odzi5cwfZ4SEA6hd00bPpJuKNzfO1K/OKf3fv4+Pjc4lYrsWoMcpoeZRRY5SR8ghjxhiu57KhYQN3t91NXL9+zAhFLIYai818TdfRNmxAXb8e7/hx7JdfwT12DGf7DpztO+ZeT0MDQtfxRkcxvvW/CP7Ob6N2dNSmS8fB+skTOLt2AaAuXIjb34+zZy/O3n2g62BZIGAqGMLu7CD4pS/VxK/rCVe65MwcU9YUutDpiHagipn+XLZnY3s2Ec03Yfbx8fHx8fHxuR4QikIkVUckVUdT75ILmn/h5puJN7Uw2X+MtmWrSLZ9tKsEfFHKx8fHh+mMHc/G8AxyVo6R8gjDlWFGK6MIBHXBOhaWFuKWXMpOmYJdoGAXSJtppswpJHMXge9I72BPZg93tN7BTU03oSvXn6ByJkII1EWLUBctwj05gP3KK3gnTyItC2wbAKWlBf3OO1HXrAbTxPiHf8QbGMD8u78j8MgjAMhiCXf/fty+PlAVgo89hrZhA97oKNbzL+Du318VpFQFpaEBYVq4x45hfv8HBL/wOEJVkVLi7tuH/fob6DduRtuw4aocg6Jd5PXx12kPt7MytRJNmfurVErJ1smt7O7fzWBmEE+e9hMIq2EWJxazJLGErJXleOE4g+VBHM/hhrobuLf9XlKB1FXZn48CI+UR+op9WJ5V/Zy7Bq3hVjY3bp7v0Hx8fHx8fHw+gjT29NLY0zvfYVwT+KKUj4/PdYPlWgghzinsuJ6LLW0s1yJrZ0kbadJmmoJTQBMaITVEQAlgeRYZK0PGzJC1slTcygzR4P0MlYc4WjmKYRhzTo/rcVrDrbSF22q/S06JZ4eeZag8xK+Hf82b42+yum41a+rWsCCyACGuTRP+rJVlwpigK9pFUJ27kwiA2rUA9Uu/Vftbeh44Duj66X0Lhwn99r/E+Pa38fpPYP7ghzPWIYJBgl94HHVJdWRJaW0l9FtfxJuaAtdF1NejaBp1+QKD/+W/4B44gPXjn6Df/3Gsp3+Oe+AAANbEOOrq1YiLbLF7sTiew/f6vsdgaRCA6FCUjQ0b2diwkVQgVdvvtJHmpwM/5UTxBKFQCE96qEIlFUhRdstUnAp7MnvYk9kzaxu7M7vZn9vPzU03c1vLbYTU0BXdp+sFKSUTxgT1wfqzCoFzsSezhx+f+PEsP7XlyeW+KOXj4+Pj4+PjM89cc6LU/v37eeqpp+jr6yOTyfBv/+2/5cYbb6xNl1Lyox/9iBdeeIFisciSJUv4yle+woIFC2rz2LbNd77zHd544w0sy2L16tX87u/+Lg0NDXNt0sfH5ypiezb70/splorUB+rPWqpUsAv0F/sZKA0wYUwwYU6Qt/K1rKWmUBP1gXrKbpmslSVjZSjZJVzpXlJ8QghiWqwmLLVF2hAIcnYOL+wxODlIWA0T1+LE9BipQIq2cBsxPTZrXQ008HtLf49dmV08P/I8eSvPOxPv8M7EO6QCKW6ou4Eb6m6gOTyzfvzUw/PVFq2Gy8O8Mf4Ge7N7kVKiKRorkitYW7eWRfFFqIp6zuWFosAcopAIhQj9y3+J9dTTeENDiFgUEYkg4nG0zZtRWmaboCv19TP+Di1bSvALj2P80z/h7NqFs2cPeB6oCiIYQpbLOO++h37Tlks7COfhmaFnGCwNElJD6IpOwS7w6tirvDr2KlEtSmu4lVQgxa7MLhzPIaAG+MzSz9DqtRLX4ggh8KTHQGmAg7mD9Bf7SQVS9MZ7WRhbiOmZ/GroV/QX+3lt7DX2ZPbwpUVfoinUNCsWKSWmZ5K1spScEm3htg9t6Z/hGvz05E/Zn91PWAuzoX4DGxs20hhqPOdyO6d28kT/E0gkPbEeGoINBJQAQTU45zH18fHx8fHx8fG5ulxzopRpmvT09HDXXXfxX//rf501/Wc/+xm/+MUv+MM//EPa2tp44okn+NM//VP+8i//knA4DMA//MM/sGPHDv7oj/6IeDzOt7/9bf7Tf/pP/Nmf/RnKh9Sx3sfnemDCmOCH/T8kJ3O1jKOwFialpwhpIcJqGF3RGS4PM2FMzLkOiWTKnGLKnDrntgSCeCBOQ7CBhmADST2JK11M18T0TDShUR+sJxVIUReoI6pFa0LDXGKQEIK2tjZG4iOzMi7OGYcQrKtfx5rUGo4Xj7M7s5sD2QNkrWxNzGgNt9IZ7SRn5UibabJWlogWqYpi08JYd7R7TuHrUinaRQ7kDrAns4f+Yn/t9Zgeo2gXa9k8zaFmfmvRb33gkjIRCBD8zG9cUqza8uUEP/c5zO//ADwPZcECgo89htt3HOvpn+O89SbalhuvmJi3I72D7ZPbEQg+2/NZemO9HMwfZOvkVvoL/ZScEscKx2rzL4ov4tGuR1m5YCUjI6fPG0UodMe66Y51z7md31782xzKH+LZwWfJWBm+deRb/Fbvb7EgWh18GTfGeX74eY4Xj2O5Vm25sBbmk52fZHXd6iuy//PFeGWcf+77Z9JmGoCKU+GN8Td4Y/wNuqJd9MZ76Yn1sCC6YEYW5ZvDb/LEiaogtbFhI48seOSazU708fHx8fHx8fmocs2JUuvXr2f9+vVzTpNS8swzz/DYY4+xZUt1NPzrX/86X/3qV3n99de57777KJfLvPjii3zjG9/ghhtuAOAb3/gGX/va19i9ezfr1q27Wrvi4/ORxXRNSk6JpJ6sZdfsnNrJzwd+juVZ1Mfq0fVqlknFqVBxKrPWIRC0hlvpifXQHG6mKdhEY6gRT3qMG+NMGBNkrAxRLUoqkCIVSBHX4wSUAAElgCrUa+oBVFVUliSWsCSxBGuBxeHcYXZndnMkf4TRyiijldEZ8xftIkfsIxzJH6m91hhqrB6PUDMKCopQUIVKfbCelnBLrcwrbaY5lDvE8cJxkoEktzTfQhunO98ZrsHOqZ3sze5loDhQ88MSQrAmtYaPNX+M1nArw+VhdmV2sSuzi3FjnL89/Ld8adGXaA23XoUjNjfamjWIaBRZLFbL9RQFUV+H/fzzeBOTuIcOoS1fPueylmdxKHeIVCBFa7j1rGWglmuxO7Obk6WTpAIpmkJNKELh5wM/B+DutrtZkqiWG65KrWJVahW2ZzNeGWfUGGW8Mk57pJ0b6m74QAMhQgiWJ5ezILKAfzr+TwyVh/j7o3/PIwse4WTpJDsmd8zwMAtrYTShUbAL/LD/hxzIHeDBzgfJmlmOFI5wvHAcRSgsTSxlaWLpebOLriSu53KydBLTM+mOdhPWwuecf09mDz89+VNszyYRSPC57s9Rdstsn9zOkfwRTpZOcrJ0EgBVqLVMMUUomIqJlJLNjZt5uPPha+p64OPj4+Pj4+PjU+WaE6XOxfj4ONlslrVr19Ze03WdlStXcujQIe677z6OHz+O67o1QQqgvr6erq4uDh8+fFZRyrZt7GmTXqg+FJzKvLoSN7KHc4dJBVK0RFqu2DauNKdi/iCxV5wKB3MHCakhVqRWXO7QzsulxD7fXCuxH8od4kTxRE0YEUIwXhlnpDJC2kwjpUQRCnXBOiJqhIHSAAC9iV6+fuPXqWQqmI5Z9XuyCxiuUftpCDWwMLbwrKVI8UCcRYlFV3N3L+txD6pB1tSvYU39GipOhX3ZfWSsDHWBOhqCDaQCKYpOsWa2PlQaYrQyyqQxyaQxedb1poIpNKHNmmd7ejs3Fm6kV+/lYO4gezN7sb3T17uOaEe1TK9+7YxMqM5YJ52xTm5tuZVvH/s245Vx/u7o3/HF3i/SE+uZMwZPegjEZT0/33/stUUz33sRDKJt2oz9+ms4b72FvmL2NcVwDb5z7DucLE4LGIpaK9GsC9SRCqSI6TEO5A6wM70Tw53bO2xlaiV3tN4xa/8CaqB2vM4V+8UQC8T4nSW/w/f7vs+R/BGeOPFEbdry1HLubLmTplATATWA67m8PPYyr46+yp7MnloJ5pkcLxznl0O/pCHUwB0td7Cuft0547oc57zlWUyZU4yURziSP8KRwhEMx6ittzPSyZLEEtbUrZkhltmezbODz7JtchsAvfFePtfzOaJ6FIAVqRXkrByHcofoL/bTX+yvNR84te5gMMgtLbfwifZPzPv10sfHx8fHx8fHZ26uK1Eqm80CkEwmZ7yeTCaZnJyszaNpGrH3tTNPJpO15efiySef5Mc//nHt74ULF/Jnf/ZnNDVdfs+JvlwfPz34UzRF42trvwZAa+v8ZR5cKmeL3fEcto5speJUiAaixPQYpmuyY2wH+yb31bx/buZmPrf0c+jq1e9K9mE87leDF06+wJNDT551ejAYRBUqrnQpUaLklgiHwjzY+yD399yPIhSSrdXPcTdzlzBdq1yJ49674PydN0p2iWPZYxzJHCFn5fCkh+u5WJ7FWGmMrJnFoPqwHwlHWJxazIqGFRzPHmfP5B52TexiF7sAUAMqndFObm6/mfXN66kL1Z1z22208e/b/z3f3PVNjueO84PBH7CheQNdiS66E92oQuXg1EEOTh3kWPYYmqLRFGmiKdxEe6yd2ztvr4kJl8K5jr3zqUcZ2b4dBgZp9Dz0jo7atLJd5rs7v8u4M04ymkRXdYpWkbSbJl1Mz16ZDp2JTja2bCRv5RktjTJaGqUl0sIfrv9DQtrFG49fynnzb9r/DT849APeGn6LnkQPn1r8KRbXLZ413291/Ba35W/j2/u+zVh5jKAaZHn9clY0rMDxHPZM7uFo5iglWeKZsWcY9AZ5fPnjxANxAAzH4HDmMGWnXM3EQ2FobAhFURAIFFHNzhNC1DL16kP1NIQbUEQ1IyxrZNkzuYe96b0MFYbImtmZQWrQGGkkokUYL48z4U4wkZngzcybrGlcwz1d9xALxPjOnu8wUhohHArz8Z6P81DvQ7VtnKKNNpZTzYqTUjJlTFF2ytWJEsJ6mMbw/GWF+fj4+Pj4+Pj4nJ/rSpQ6xftHPC/E3+V88zz22GM8/PDDs7YxMTGB4zgfIMqz4zkeKZFioDjA//nW/8nXNn2NZrf5onxqrgWEELS2tjI6Ojor9oJd4Pt9369lJcxFY6iRtJnmpeMvcWj0EJ9f+Hnqgud+OL5cnCv2a535jv31sdf51dCvAFhdt5qoFq0KJNKlPlhPW6SN9nA7US1K3s6TNtNMmVO0R9ppD7UzPjZ+XR77+T7uAE000RSfWygvO2XGKmMYrkFPrKdWFrW6eTU3J25mj7GHnUM76Yn1sKlxU637n5ExGGHkgrb/mbbP8EPzhxzMHuTV/lfPOW+ulOMoRwF47shzfLr70yxOzBZSzoXlWgyUBjhROoETdGgTbaxMrpxhuG57NgOlAUJqiOSihch9+xl68qcEf+PTtePyj0f/keHyMBEtwhd6vkBbuI2slWWwPMi4MU7WypI1s+TsHC3hFrY0bmFRfFH1eyACpE7HlJnIXNQ+XK7z5u7U3WyKbqqapRuCkZG537MAAX6767drmXe1Y6XAstZlGE0GWye28uLoi2wd2Mq+0X1sadzCQGmA48XjuN7pRgGnso1M0zxn7Jqi0RhsRAjBSHl2XGEtTGOwkd54L8uSy+iMdCKEIGtlOZo/ysHcQQ7nD7NtcBvbBrchhEBKSUyP8Znuz7Aosoix0bELOk7a9G2NEILG1sZ5+7xqmnZFBrV8fHx8fHx8fD5sXFeiVCqVAqrZUHV1p8WLfD5fy55KpVI4jkOxWJyRLZXP51m2bNlZ163rOro+d6bO5b6hDathvrz4y/yw74cczh/mb3f/Lfe33M+G+g2XdTtXCynljGM0WBrk+33fJ2/nCapBliaWYrgGZaeMIx2WJpaypm4NreFWjhWO8aP+HzFcHuZ/HvqfrEqtIqknSQaShNQQFadC2S1TdsrEtBhd0S5aw63n7QJ2Ibiey3BpuCaapM00AsGy5DIWxRed1W/mWuH9x/1y43gOJaeEQBBQAwSVIG+Mv8Fzw88BcGfrndzVetc5y2ISeoKEnmBhbGEt5qsV/5XiWo07rIZnlNSdGWNTqIkvLvwid6funvUeXAya0Ph8z+c5VjjGQGmA4fIwQ+UhbM+mJ9bD4sRieuO9CARpM03aTLMjvYNJY5J/PPqP3NR0E1satzBUHuJE6QQjlZFaGaFEUv1XjcmTHlPWVC3GUCiEYRjE9TibGjZRH6yviRmn1tFQX+GewhDqG8PsajlBpiFIzs5RdspEtShfXvzlmh/WKR+yc3E53+fLcd7EtXhtXedCEQoNwYY55w0qQW5ruY3F8cX85ORPGK+M8+LIi7Xp9cF6GoINeNJDIolEIxSLRTzp4eEhpaz9dqRD1srieE7NE00g6Ix2sjy5nO5YN43BxjnLcKWUJPUkGxs2srFhI5PGJG9OvMnOqZ04nsOi+CI+3f1p4nr8ko7btfp59fHx8fHx8fHxqXJdiVLNzc2kUil2797NwoXVh1zHcdi/fz9f/OIXAejt7UVVVXbv3s0tt9wCQCaT4eTJk7V5rgUCSoDHex/n6YGn2V/az09P/JSsmT3vQ/7lYqQ8woHcAXRFJ6bFiGgRLM9iuDzMSGWECWOChmADy5PLWZ5cTiqQYrA8yNH8UY4VjhFWw2xq3ERzy+lW9jkrx67MLl4efRnHc2gKNfH4wsfPaaq7KL6IP1j2B/yg7wcMlYfYPrn9vLHrik5HpIOuaBdd0S4WRKsZH/3Ffo4XjjNSGaEz0smtzbfOKBmSUjJcGeZ44Tj9xX7GD42TK+VmrX9HegcBNcCyxDKWJ5ezKL7ovG3WpZTXpWeJ4RrsSO8gY2YoOSWKTpGiXaTklM7qqQNwV+td3NV211WM1OdaQRFKzbAdzn7uN4WqWSKbGzfz3NBzbJ3cytsTb/P2xNsXtb1EIFHtrNa4gFf7XqVgF3hp9KUZ88T1OI50SDdLxhpU6iYKLP3n1xldEOPQukZC9fV80bmJxLNvURkbI3D/x1F7z18y+WGmLdLG7y/9fV4be43h8jA9sR6WJZfVMp7gjI6TI2fvOOlJj4yVYdKYxPIsFsYWfqAukY2hRh5Z8Aj3tN7DmDHGwtjC6/Ka6uPj4+Pj4+Pjc3Fcc6KUYRiMjp7uQjU+Pk5/fz+xWIzGxkYefPBBnnzySdra2mhtbeXJJ58kGAxy6623AhCJRLj77rv5zne+QzweJxaL8Z3vfIeurq4Z5ufXAqpQ+VTXp+isdPLUwad4efRlJowJHut+jIASAGCsMsa76XcRQtAUaqI51ExzqJmgGvxA2xwqDfHy2Mscyh0677wFu0B/sZ9fDv2SgBLA8qwZ0w/nD/Ni+kV6g70MlgZrHZAAlieX8+nuT9e6gZ2LVCDFV5Z8hb3ZvUyZU2StahmN5VpEtAgRLUJYDTNlTnGydBLDNWrGtqcQiBndqE4UT7BtchtbmrawOrWaQ/lD7JraVWspDtXMi5AWojHYSEOwgfpAPRW3wv7sfvJ2nj2ZPezJ7EEgaI+00xPrIagGEQhUoVJySkwYE0yak2TMDJqiEdbChNUwcT1OS6iFlnALreFWGoONaMq19XGbNCb57vHvzjgm70cRSjXT4IzubHe13sWdrXdepSh9rnXOJxwElAAPL3iYZcll/Ozkzyg6RdrCbTVB+czuawJR+y2EqGUznRJHNkc2sy+7j22T26i4FZYllrEitYL2cDsABafAZMtx+NWLRA6eoDMtuPFFj6BaQOE5ThVimz/+CeF//UeIQOCKHJPrBV3Rubvt7ktax6msrFOZWZdKVI/Sq3+0BUMfHx8fHx8fn48S19ZTMnDs2DH+w3/4D7W/v/3tbwNwxx138PWvf51HH30Uy7L41re+RalUYvHixfzxH/9xrVMewJe//GVUVeUv/uIvsCyL1atX8+/+3b/7QK25rzRCCB5Z9AhKReHpk0+zL7uPKWuKu1rvYvvkdg7nD89eBsGC6AKWJZexNLGU5lDznD5bp0pbTM/Eci1KTomh8lBtHctTywkoAcpOmaJdRFVU2sJttIXbaAo1MVwe5mD+IP3FfizPIqSGWBRfxOLEYtJmmnfT75I1s7yZe7O2zq5YF+vq17GhfsNFjXJrisa6+nXnnU9KyYQ5wclitQ34QGmg2ukNSUOwgd54L63hVt5Nv8tQeYjXxl7jtbHXZmxncbxaYrS5dzNKQak9CJ/igY4HGCgPcCB7gKOFo4xVxhgqD9WO3dmwPRvbssmTZ6wyxtH80RnT43qcVCBFXaCORfFFLEsuO28G1qUgpaTgFMiaWUzPpCXcQkJPANXujz868SNM1yQRSLCubh0xPUZUixLTYkT16u+wWv1cOdLBci0UoZy3hbuPz1wsSSzh36z6N7jS/cACraqorKlbw5q6NXNOT+gJEh3r4HfW4U1MYL/yKs7OneB5KG1tqIt6cfbsRWaz2K+9TuCeSxNkfHx8fHx8fHx8fHwuDSF9s4VzMjExgW3b55/xA3JmeURfoY/v933/dPcgqkLPitQKEnqCcWOccWOcol2csY6GYANbmrawrn4dITXEhDHBM4PPcKxwbM7tra1by+0tt5+zrO5MKk6FrJWlOdyMKk57OTnSYUwd453+d2gPt7MyuZJEIPEBj8QHp2SX8PCI6/Haa1JKDuUP8dLIS4xWRumN97K2fi0rkiuq2U4XUJZyiryd51j+GCOVERzp1Ey9w2rVvLcxVM20cqVLxalQcavHa7QyyqgxylhlDNM1Z61XCEF3tJuOSEdtna50a23Ns3YWwzUIKSFCavUnqAYJa2Ga65qxSzaNwUbawm00h5vxpEd/sZ9jhWMcLx5nypzC8Waa9CcCCVpCLRzNH0Ui6Yp18XjP45elM9qFcjHH/lrieo0bru/Y4dLil+UySImIVs9xZ88ezH/+Pug64X/9Ryh1V7a5wvV87P3YPzi6rn/ojM6v5v2Qf75dPa7n2OH6jt+PfX7wY58/rtf4r9e4Yf5jv9D7oWsuU+qjTE+shz9Y9gd87/j3mDAmWN+wno81fYyG0MyyiKyV5XDuMIfzhzlePE7aTPPM4DM8P/w8vfFejuSP1LIRThkC64pOQAnQGem86A53YS08Z3aMruhsbt1Mp+yc1w/oXIKKEKLmh+VJb1Yr8YshoSdY37Ce9aw//8xzVFVKKSm7ZbJmlqxdFasO5g4yVhmbVYY4FxW3KnSdSZ/Rh2Gc9nw6Ve7kSW/GfAJBMpBEV3QmjUnyVp68lQdgU+MmHup46LKYxvv4XKuIyMxsRHX1atSFC3H7+rB/+UuCjz9+xWOQUuIVCnhjY3hjY4i6OrQVK674dn18fHx8fHx8rieklOw2HA4bNktDOjeENN9j8iOAL0pdY6QCKf5g2R/gSKfmKzXXPDc23ciNTTdiuRY7p3byzuQ7TBgTHMwdBGBpYikPdD5w2Xw+rmcuRZC6HAghiGpRolqUDjpYlVrFPW33MGVOcTB3kJyVQ1M0FKGgCpWoFiWpJ0kEEoTVMKZnYrgGpjv92zMJxUMMTgwyVhljtDJKySkhpaQuWC0NXBRfRFu4jaSerIlOlmvVyhAbQ40sSyzzL/I+HzmEEAQ++TCV//4/cPbsRbvxGOqiRVdse/bWbQy//jrlyQnOsL1D/MHvo3Z1XbHt+vj4+Pj4+PhcL3hSsqti86uCyYjtAvB6yaJTV3kwEWKlL059qPFFqWsQRSgExIUZ8AbUADc23cjmxs0cLx5nX3YfyxLLWJZcdoWj9LlU6oP13NJ8y0UvV0vDDI7U2p0XnAKe9M7Z4j6gBlgYX8jC+MJLiNrH5/pHaW1F27IF5+23MX/yBGp3NygKqApKQwNKTw9KRwdC++BfkVJK7BdfxH7xRULBEAiBqK9HKAJvYhL7V8+h/O5X/BssHx8fHx8fn48snpS8V7F5rmAyOi1GhRTBmpDOHsNm0Hb5m3SJnoDG5+vCtOmnKzwMT/LTXIVDpsOX6yP0BHxp43rFf+c+JAghahkyPh8thBA1A3MfH58LI3DvPbi7dyOzWZxsdvYMqorS3o7S2ICoq6t6T6kqslRClsrISgWluQl14UJES8sMcUl6HtbTP8d55x0QkHjoQdS1a0HT8LJZKn/+F7h9fXhHjqAuXXr1dtrHx8fHx8fHZ56RUlL2PPYZDs/lDcadqv1IWBHcFQtyeyxIWBGUPI8XCyavFC36LYf/Ml7ggUSIu2JBBmyX70yVmZxe9rtTZf73lji6P9h3XeKLUj4+Pj4+HzlEJELoq7+Le+wYSAmuh3RsvNFRvP5+ZLGENzCANzBw/nWFQyjt7RAIInQNWSji9vWBEAQ/+UmSn/wk5WmDSSWVQr9pC/brb2A992tCS5b42VI+Pj4+Pj4+HyocKSl7kknHY9h2GbZdRh0PM2czVihhn+FHHFUEd8aC3DYtRp1+XeGTyTC3xYL8MFNhn2HzdM5gW9lm3HHxJNSpCi4w7nj8Km/wcNLvEn494otSPj4+Pj4fSZSWFpSWllmvSymRU1N4Q0PITAYvk0FmMuB51S5+0SgiEMAbGsY9eRJZMXCPHZ+5ElUl+NnPoK9dO2v9+h134Gzbjjc8jLt3L9qaNVdqF318fHx8fHx8zoktJQOWS0QRpFSF0LQwZEtJwZUUPY/w9LRTmUjmtOA04bhMuh4Tjsek45F2PMqexJyjCZYAgsLBmZ6WVBVujwW4NRqsbXMuUqrCVxsibC3bPJmr1Mr8NkYCfDYV5rDp8HfpEi8WTTZEArTrfhOn6w1flPLx8fHx8TkDIQSioQGl4fyNIqTr4o2MICcmkI4Dlg2ug7p4cTV7aq71R6Not92K/fwL2L/+NerKlQjVv4Hy8fHx8fHxubpkHI+/SZcYnhZ6oOrpJICKN1tYiigCVUDBPX/ndUFVeGrXVdp1hfaAxrLWFqypSeKKuKhSOyEEW6IBlgY1XiqaLAyorI9UPZjXhnXWhnV2VWz+OVPmf2uKofhZ6NcVvijl4+Pj4+PzARGqitrZCZ2dF7Wc/rGP4bz9Nt5kGvN7/4zS2oKIJ1Dq61B6ey/JZN3Hx8fHx8fH53yctBz+Nl0m73oEhUARVSHKOEOM0oQgpgjKnsSaLsk7RVQRNGkKTZpKo6bQqCk0qAoxVRBVBGEhZlgUCCFoi4YYyavIOTKpLoQ6TeHTqdkler8xnTF10nJ5uWhxdzz4gdbvMz/4d70+Pj4+Pj5XGREMot95J9bPf4F74ADugQOnp0UiqGvWoG1Yj9LZ6XtO+fj4+Pj4+Fw2HCnZXbH5XqaCLSXtusrvNUSp0xQMT5J1q+bhSVUhJKpikpQSQ0LW9bClpFFTiCjKPO/JaZKqwqPJEN/PVPhZrsIJy+HhZIgmzc9Evx7wRSkfHx8fH595QLv5ZkQ0hpeeRBaKyEIBb3AAmS/gvPMOzjvvoLS3Efj4x1F8Q3QfHx8fHx+fi0BKSdaVDNouA7bLiO0yalc9oE4lPK0IaXy5PlozGA8pglZltpAjhCAsIDzHtGuFmyIBhmyP14smOys2uw2bmyIBFgRUFKa9sKRkyvFIux5Z16NDV7k3HpwhXk04Lq8WLSqeZHlIY2VI/0DxSCmxJWiCa6accNh2OWY6lL1q1ltFSnTgs3WReY3LF6V8fHx8fHzmASEE2tobZrwmPQ/v2DGc997D2bcfb3gE4x/+EbWnB/3eexDRKLJUQpZKiGAQZdGi8/pRuceOAVTLAuf5pkgWCrhHjiItE7WnB9HSMu8x+fj4+Pj4XI9IKRmyPXKuR87zyLuSnDv92/PIOB7FOXyhoCo+3RwN8MlECPVD8j0shOAzqTC3RAP8PGewz7B5s2RB6ezLDFguW8sWG8MBNkR0tpYsdlZsTh21bWULRQhuMAUxs0JMEcQVgSYEU67HlOMx5XpUpssbbVk1iLckNUP3qCK4Lx7i1ljgony0LgZrOsMt63pkXIkioFlTaNE1XCnZWbZ4tWhy1HRmLRtTBJ+tuyJhXTC+KOXj4+Pj43ONIBQFdckS1CVLCJTL2K+8gv3W27j9/bjf+l+z50+l0LfciLZpU7Uz4Bl4uRzW0z/H3b8fAKWjA/2OO1BXrbxkIUhKiTcwCNJD1NUh4vGzrtMbHcXZvRv38GG84ZGZ8ceiqAsXoq5ahbpqlW/47uPj4+PjcwGYnuRv0qU5RYYzUQS0aiqdukpnQKVVU2jWVFKq+NAOCrXrKr/XGOWo6fBWycKUEilBUs1aqj/lfaUItpVt9hk228oW28pWbR2rQjptusI+w2HUdjlYMjANkw/ihFXyJD/NVXi1ZPJwIkS7rlaFRFdiSEmTptCsKdSrCooQeLKawVRwJSO2y7DtMeK4FFxJXK16fMUUQcmTjDvVzoe56ZLL9yOAeMakUK4gqZ4Py4IaKVUhogjCStX/a77xRSkfHx8fH59rEBGJEHjgAbRbbsF+8SWcXTsRmo6IRiAaRU5MIrNZrF89h/XCi6g9PShtbSjt7chCHuv5F8CyQFVAVfGGhjC/9z2U5mYCjz6KurDnA8UlTRPzxz/G3bf/9IuqWjVp7+hA6exE6ejAGxnF2bEDb2hoxvJKRwciEsY9cQJZLOHs2YuzZy8iFkXbsAFt40ZEY+OH9mbZx8fHx8fnUjA8yTfTJY6bDroQtGgKSVUhoYra75RSfa1FV65Yds61zuKgxuLgueWO9ZEAJy2HX+VN+iyHlSGdu+NB2vXqINknkzDlekxEEhyfmCTvVrPPbCmpUxXqp8Wk2HQ3wYAQ6AL06d+aEOyq2DyTN5hyPL49VT5rLLoQaGLurocXQlAI6jSFpCpwJUw4HnnXw/IkMVXh5kiAW6IB6rRrxwvsFL4o5ePj4+Pjcw2jJJMEH/sUwcc+NeN1adu4e/Zgv/U23tAQ7tGjuEePzly2u4vgo59CxGPYb75Z7fg3Po7xD/9A8PHPoy1fflGxeBMTmN/9Ht74OKgqIhFH5vLgungTk3gTk7Bz18yFVBV1+TK0lStRlyxBxGLV+F0Xb2AA9/ARnHd3IPMF7Fdfw371NdB1lFQKUVeH0tONfuONiMi5/Q6kYeCNjOCNjCBHxxg3TSqZDNK2kY6DCAZQGhsRjY0oTc0oLS0orS0Xtf8+Pj4+Ph9dpJQ4VLNPTuX1XuoAiiur2S4KkFIVgufJWqm4Ht+cLHLcdAgrgj9sjNIV8B/pL4WugMZXG89+DBs0ldUNCZZbpQ/UNfCmaIANYZ2XiyavFE08qsbsSbUqYk06HuNO1UDePmP1IUXQrCm06yrtukpKVSh6HkVXUvAkkenuhy3TnQ/f3+0QwJAQaGjEm5q8poWfazk2Hx8fHx+fDyWOK3mzP8eb/XkA4iGVeFClPqKzviNGR/L8rYyFrqNt2IC6fj1ybAx3YABveARveBhME+2Wm9E2b67doATuuw/91lsxf/wT3AMHML/7XfjsZ9FuqPpayUoFt68PEYmgdHXNKKWTto27bx/WU08jDQORiBP8whdRuxYgXReZzyMnJnAHB/EGB/GGhhHxGNr69Whr19aEqBnxqypqT0/VL+ueu3EPHsTZtg336DGwbbyJCZiYwD18GPvlV9C3bEG/9WOIeHzGetyhYZy33sLZvRuc6TIGAWYwhGsanMq1lzCjfFBd1EvoK1+54PfMx8fHx+fKYkvJqO0SUgQxpdr5zZBVc+bBaaNuSfUBVhOChFr1RboSXeA8KdlZsdletsm5HgVPUvQ83PdpEkFRLYGKTP+EFUFYzPw7Mv2aKSUVT1KWkozjMThdmmWfIXSEFUGdqtCqK3RMixFhIap+QZ7kcHGEPl+Quu4IKIKPJ0J8PBGac7onJWm3en5Fp88b7TJkuIUVQVsowMh0B8VrFf8snicqtkvJ8miKBeY7FB8fHx+fq4QnJe8OFvnVoSmy5dM+EOmSXfv/K0ezdKaCbOlKsK4jRkg/9822EALR2orS2nre7YtwmOAXHsf68U9wdu3C/MEP8QYG8MbGcfuOw7QngYhF0Vauorj2BsrvbKW4ex+lkoHjSYzWTobvewzFiGEfmMJ0PUzbw3KTyHgCVqzEWwGW41G2PSpvT+F4aZY2hdnSnaC7LogQAseVHE1XODpRIagrtDf00Pa5paQCAnI5ZCaDN5nG2bYNb2QE+7XXsN98E6WpCZGIIxIJvIkJvBMnT+9fMonS1ora3k7DihWki0XQNFBVZMVATk5Wl5mcQFmw4GLfPh8fHx+fK0DFk7xZMnmlaM3wxtEEOOd5jn6+YHJfPMRtH9BE2pXVLmSaELXspx0VixcKJhPO3D49Z2JKielKsu5Fb7pGUAiEqJblVTxJxXMZtl3exZ4xnwCCIUnIF6Q+dChCzOgA+FHDP5PngcGsyT9sGyWiK/zR7f5NsY+Pj8/ZKJoue0ZKTB2poLsV2hMBOpIBUmHtrCnzFdvleNrgyGSFvrRBWFdY1x5jTXuUaODyf+F7UmI6HiFNqcUkpWSq7DBSsNg2PszRwXEmijYTJYuKVb3JTYY17l1aR3NMp2C6FAyX/ozB3pESg1mTwewET+9Ps7Y9ypbuBF2pqphTslzGCxamK0mFNerCGsGL8AcQqkrgs5+BYABn6zbsN96sTSvEUlj5It5YFnfkdU68+Bb5soknoRKO0de1gn1LNyGHbGDqoo7T9oEC2wcKtCYCNEV1Dk9UMOe44ddUga4KNEVDU1oRyz9JY7KPxfu3Ujc5SjJn0BjTqe2xqqKtWY12082oXdXvVCEEkbY2ciMj1/TIoI+Pj8+HDSklmekucLYEB4k5bcg8YruMONVOZQlVkFQUQopgr2FjTPvohBWBpCrQnBKkUqrCgkA1a0gDHKpi0t5pE+qf5Sq8UjRZH9YJKYLQtDdP/oyOZJYHQQWCikKDPc5Qtsik45JxPc5m4RNVBLfGgvQE1Omua9V4JbKafSvBOJX9NP1zKhOq9v/pH0PKWlZVeDrLq0NXWRBQaVSr9w8Vr3rc0k7V2HpoOpPKkpKUqlCnKvQ0JFlhV2i6Bn2BfHw+KL4oNQ8kwyqOJxnJW/zy4BRf7Wyf75B8fC6aiu1yImMyVbaZKjtkKw6uJzklE+iqQiqsUR/RqItoVGyP4ZzJSN7GEJPU6y7LmiMsbQpfEaHgWsGTkmzFYbxoo6uC9kSA8LR5opSSiaLN0XSFkuXRkQjQmQqSCGnVm7qKw0jeIltxaIjqtMT0c4ox1xtSSmxXYnsS15OYjqRkuZQsl7zhsH+szOGJCp6UhIIhjDNKsQJa9fxKhlTiQQ3D8SiYDnmjuuz7dYhjkxV+uneSZc0RulJBmuM6TbEAAVUwXrQZL1hMlmwaojorW6I0xfTaso4nGStY5CoOhuNhOh4V22O8aDOSt5goWtiurAohAYWIrpA33KrgIpgVe0hXuHtJHbcuTKCrM28qbyVJyXTZPlhg68kC4wWLbScLbDtZoCGqYzgeJXP2cGxIV1hYH2Jte4xVrdFadpWUkpJVPTYly6Nouhi2R11Eo+0TDxFKJrGO9dFX18ErWisnRAzhuTRPDtE5epzGYobRtiYmu5bRsLSH1niABk/iTL9vuioIqgpBTRDUFISojuQKqsJSJKASCSjYrmTHQIFdw0VG8xaj+WqHm0RIY3lLBHf6O3GsYOG41fWfyVRqAYdv7iReyhIt52nG5PZmhfZUBHXdWpRE4hLORB8fHx+fC8WWkrzrkS8ZDBo29rTpc8GVHLcc+iyX/Fk6gZ1JzoUBTn+fteoq98SCbIjoaEJgS0nRlQQUiJ6lPO+hhGRbuWoinXU9Xiqa592uAIJeEdOwz9pJLakq3BULcks0cBaPp9OvxeeY+kEJK4KwotKqq6xCnzVdCEFbWwMj/oCLz4cMX5SaB+JBjc+ubeIfto7yyrEst68u4N9O+1xPDGZNvvXOyJwPx+dl+iG9zzTYMVBACGiKBYhNP7yGpx+mHU/ieBJNEaxoibKqJULgA4wKmY7HkYkK40WLJU1hOpPBKyrqmI7HsckKB8bLnJgymCjZsx6wG6I6TTGd4ZxF3pjdyjcRqoos1hxZJAFNoTFaFafqIhrJkIYiqh5FzrRI0F0fojsVQlNn76cnJUM5k6OT1VKsJY1hFqSCqFehHaztepzImBydrHBsssJA1sS9gA4jnakQNy9rp39kksGcyVjBwnI8xgsW44W5l2mK6SxuDLOoMUym7PDuUJGRnMn+0RL7R0vn3N7P96VpjgforgsyXrQZzpnY7zeRmAMpJSXTrX0uVEXQmgiwrLORoFehMaLROP3ev1+MOpNoUOWORSlu703SP2Xw9okCe0aKM0r8UhGNsKaQNRwqlodhexwYK3NgrIymCrpSIUqWS6bizHkenSIeWojd0YNhV+epilsR4gtXEw+uZUF7M6so0xrXL/lzs7gxzCOrG9g5VKRkeSxrnv15dDxJ3nBqopczfX4ooip0TZRa+fm+NLsNh93ADZEYGysqS6Je7ZgWTIeD4xUKJyyMUoGQJojoKooCliOxXA/TkTTHdDYuuJyPEz4+1y5SSvKeJON6TDne6d+exCwMMpQv4MnqZ00FVCEQVMunFKp+KFFFEJnO9Ch7kpwryXseZU/iSXABD0ngDD+duFLNBukOaHQHVAJCTGfLuEw4Hi2awvKgXusGVfEk+w2bPRWbiqwa+Z7a5qnOVJoQ1KsKK0LaNdlVrOJJtOnuW/OJlJIjpsu2soUtJStCOitDGvFzfP/MRdb12FOx2WPYDFoupekByGDGwjSMOYUdTVSFnVPvmU7VkLlNV2nVq53KCq4kO23avCCgsiI4c9BNF4I67dzHUBGCLdEAGyI6W8sWE46HOZ2V5EhIKGLaULqa4WR6EguIpVLYuRwNqqBeU0gqAhdwpzO7wkKgXIPnlo/PhxVflJonVrVG2dwVZ9tAgW+9dpyvbWkg5Kdh+lwHHE9X+Lt3RjEdj2RYoyMZpC6iUR/WaiKIlFVxJltxmCo7ZCoOQU3QkQjSngyyaEEr2w4NcnC8xGjeqooL59jme4NFAprCmrYozTGdvFF92C6YMzNidFUQDajEAirhgMJA1qQvbdSEj2cPQHM8wIaOGMuaI8SCKmFdIaAKbFdStFyKZnXdQzmToZzFSN4kGlBZ3hzlVqLEPMmZWk/ZcjmZNTkxZdCfMWZs7xSqImiI6liuR7bskC7ZNYFBUwXddSGSIY2hnMl48bRQpSqClni1VC1dspks2VhONeNsOHfu0UBdFfTUh0iFNSSC+NEKo+ksfelKTYAAeI6qELG0KcLqtiirWyMzBJOxgsW7g0Vs16M5FqApVhVVglr1uJ1PqJBSMpgz2XqiwM7h4oxtn4kQEFAVogGVaLD6uzMZZENnjOZ4kLa2NkZalensquq5lTNcchWHvOkS0gSJkEYipJIKa8Tf1wL4zsUpRgsW+0dLjBWqZXQTRRvblTRGdZrjOg0RnaGcybG0MS14WbXlQ3pVDAxqCiFdITQtDrbGA7QmAiRDKhXbo2S5lC2PSECtiU9tbW0faFRTCMHChjALG8I8ajXQN2WQCKk0xwIzyvVMx2OiaLNvtMSu4SITRZvj6cqMYxsJqLXPRlATTE6fTwWjKqA1xnRuXZhk04J4bd3VEdnmyzoiG9ZVbu5JnnW6pgjqI7NHh0/RmQr+P+3deZBV5YH38e85d+l7e296pWmgbTaRTR33BDGg0WTUUqNGTb3OxNJyrJhkLMciliaCYxZrksI4w2ScGuMSLTIExwlxjONooiBgNGAEBWWnbaBpmt7Xu5zz/nEXabrZ4Z77dP8+VRZyu2m+fe9z+hyee85zmFqRy2uftrB6Rzvr93Sxfk8XAZ/NpPIwHX0xGtr6hzxD7VBnVeVpUkqynuu67I85NMcd2uMOrfHEJUFu8mMuDPjPcQ/6fxJnmrTEHdriLrEhtmMLyHF99Ce/5ufby4lv832uS5/jpi/w3dQXA460z+qlKuCj2GextT921DWEUop9NrPzc7ih/OhvkEUcN7FQdixOyLIoTt75KurC5v4Ym/ti7IjEKPLZnBMOcE5ugDKfTUM0zge9Uf7SG6U17pCTvOV7jgUFPjs96WFbJCbboolLxSygwu+jOpC4c1aeL3FJWSg5YVfssyk6Dcf9fY7LnmicLf0x/tQT4cBBb0p80BvFAsYHfemJqdSQSD3libHjpv+/23H5LDL4+fVbFpXBAHEnih+LgJU4y2d80McZQT/jgr6MTsoFLIsv5B39BiGQ3LeVF7M31jtg35ZYPB1y0GSUSKZZrs79O6L9+/cTjUaP/oknoD/msOjtBrrjPqaVB7jlnIrT8vecLol/sJzYP7a8pvaBHDdx2VRnX5wDPVH2tEfY3d5PY2eEorCf6VV5TK/KY393lOffbyQad5lQFuabF1Qd11o2Q/W39cbY1xmhN+rQE43TG3GwrMSEjN+26OiL88HuTlp7Bp9RdKxGJS9929rcO+QZL9ax3JEi+Y/ceDTCwW8yDjXJUpLr58yKXCaX51JVGGRUrj/9jlt3f5yG9n6au6NUFQQZV5IzYBKoP+awtyNCOGBTmhfAf9AZTDHHTUxo9URp601cMtnemzhY9PsSz1dXf5xtB3oHnsV2yD/QQwGbutIwfttiS3NPeo0jSHxsxug8qgtz+MueLna19B3xafHZqfV/Er8GfHbi1+TvO/ri7Dtocqcw5GdCWYiJZWHqSsMU5Pjw29YRz9Q6Xdtr6msdOrHWG43zSVMvjR39VOQnXqOyvBM7UyjTP2tc16WxM8Lu9kj6bn4lB00YH6w/5tDYGcFxXGpHhQZ9f9n+c7KhrZ/3P+vk48Zu2nsH/nyoKQ7xVxOqaG1roycSpyfq4LougeSlhkG/TXVhkAvGnZ7zlAOBAOXl5afla3vldB4PQfaPN0hsX12OS3PM4UBy3Zeo6zLK72NKVQXx1hb6nMTjLcm7dfmBHDsxkVHss6k7aEIgpTPuEHNJny2U0hpzWNLWw6dDnFF7IiwSZ6+M8tuM8tmU+KwB7T4S6/SkzhhxcIknz4CKuC7djkt3PHEWSti2KLItCn2Js158loVN4kyrgz+3zXH4LBJnV+TzO6cV+2xGB2xKfTYNUYddkdiAKbBKv49Z4QBlfju9Pk+vk5hUi7oQc1229MfoSp6xU5AbJj8awbY+vyubL3mGl9+yaEmuz3MMJ+YOkG9bdB3vHzoOlgVV+XnkRvop89uU+xNrBll8PrGYb1vUBAaPGdd1aYm7yTWH4ulfmw85MzZkW/xVOEC+z+bj3igN0eM/w90CaoN+ZoYDTM7xU+K3yLNtqqurs3p7PRwTftYcjsntYG6/qd3gffuxHg/pTCkP5fhtbj23gqf/fIC1DYn1Qi6bUHTEyzpOlbbeGOsaOg97OVNnf4yQ3z6plgPdUdbt7iKYPGNjTFHOgH9gmywad2juTkze7O2McKA7Snl+gLrSMONLctJrBh2sL5r4M12ROKW5fkrzAqf81GDXdensj9PYGWFvct2WxuSEz/ljC/jCGUXptWZ6o3He2dHBe/UdtPcOXoMnpbUnxs4Dfbzy8QEsK/Gu2tTKXP7feZWnZKwWh/0Uh4/8o+iqM0vY1drPX/Z00RtxEmsJhX0U5vg5eJmBaDwxudbVnzhbZVSun6mVuekJhb6ow4a9Xaxt6EpPhMUdN/1D2p8806ow5GNMYQ5jinIYXRSktSfGJ0091He67O/v49BjutK8AONLQowflcPE0jDl+YefwMjL8TGlIpcph/lec/w2taOGvl2sP3nmVGXBke/a6bou+5Jny/RFHWzLYtSoUXS2tzGuJMiYopz02HNcl8/a+tnY2JOe/Hu/vhNIXBdnWRZTK3MpzfWzvzvK/q4oLT3R9HiJJ9eDOhK/z2LG6DwuGFfIhNLBkx9eOVxHOODjnDH5MCY/w0Unz7IsRhfmMLrw6O8Y5/htxpcMPdZMUFOcQ01xDtdNL2V3e4TN+3vIz/FxZkUuReFA8iDMb9wBpBy7zrhDezxxm/bu5KLIBb7E5E9h8nKzobbzznji8rWIm5hAiSZ/jbguUefzx6KuS7/r0pmaiIolFhw+lAXk9DYe9lKmQ5X5bcYFfXTGXfZG4+mJj4k5fr6YF2RGOMDanij/1d5LX/JSsAq/j2KfTbEv+X2RuFtX6mjDInWZa+JSVyv5WK5tpSehCn2DbzFuWRajC3LZ29V+SreVAf8EyUv80u+4OCTOqDlYt+OwuS9Ge9zlzJCfqiGOoQ4VdV0+6Inydnc/zY6bnvA6kkKfzZiATdRNXJLWnnyTqi7Hx5QcPxNy/OyLOqzrjbA5OekVsCymhfycEw4wPuhPj4l+NzGOOpzPF/SuSl6eNjrgI+J+PmG0L+rQmzx7rD85sdmRvPV7azROY3+MbUdZCqnYZ1MVsOl3Eu0dTuLPD6XIZ1MT8HFOboBZoQDB5PP91cIQrTGHLf0xUqspWXw+ZlK/T0ldvjkhx0/RIcd72bIfF5HhQZNSHqsdFeavZ45m2Xs7eP2TFt6r7+CqKaM4tyafrkicxo4I+7ujFIf9TCoLn5JJgIa2fn753l46++L8fhNUF+Vw4fgCSnMDfNrUwydNPezvimLbFlUFQcYW5zCmKEhFQZDK/CD5OYc/WHBdl12t/azY1sZHjd2DLq0aVxLiktpCZozOy+odWiTm0NkfZ393lH2dicV3D3QnLhfrTC4UPJQ/bmnDshKTFD7LwrYAy6KjLzZo/aWAz6KiIMi44hzOrSlI3yY9pT/m0NEXIxxIrLVkWxad/TG27O+jcWsvH+3aj98mfSlRJJ44Q+Jw6zy99kkLb29v49K6YuKOyzs72gd8H6lLfErCfkYXBqkuzGF0YZDGzggfNXazrbkP13WZWZ3PredWZHSC0bISE5uHm6w5VqGAzfnjCjk/eXaE67pE4i59UYdQ4PCXo40vgXNqCqiqquKjbZ/hOKnnzSI3YJN3hG3CC5aV2HarkpNXiXdJqti71x30jw7bSlw+OL4kxFVnlrC9JbHWV3N3lKmVefxVTT6FoYG7Cie5QHlq3Z9o3EkvWB5Nrm2VesyyLKaUh8kdxovZi7csy0pPUMnwl1on5w9dfcnLwg4vnFzPqCbgY5TfpiESZ3skNuhskuNhkZggKPUn/gtaFi1xh/6cIA2RfkKWRUny4wU+i1hqcstxaYw5NCbPZjm4IbXX2dofY2t/jJBtpe9EVhv08Y2SXCqOYaIm2w29YHRiEetzco/8ZsuhApbFBXlBLsgLEi0pZUfjPmJu4syumJuY/Iol1wfKt23GJS8PPHgfP9TZsrVBuDAvSGfcoTHmMC7gO2z3kYRJXNZ3Vmjoy5Fd16XLBf+oUjbt3cf+aGKNrbbkAuGpv7I15tCUfDz1sRS/lTirrDrgY0zAx5jkpYL5R/i3Qonf5gL/8T3XIiKnmyalssB1Z4/BF+nmtU9aaOuJ8esPmnhpfTPRQ3Y+Qb/NlPIw06rymDE674QWff60qYfn/7yPSHI9oO5InD3t/by8fvBbNI7jDrl2TW7QR+2oEOeNLaC8ItEYiTn8ZU8Xa3Z2JNbzSJpckYvfttjZ0kdPJM625ALHFQVB5k0qZlZ1/mEv20lNcK39rJMNjd2E/DZnVeYyrSqP2lGhU7owc280zu83tbB5fy+d/fEjLgycEgrYjC4MMrowh9JcP42dEbYf6Eus/dM19CUOeTk+CnJ8HOhOrGWzu62f3W39rNnZQVl+gLOr8+mNOexs6WNPe+SgA6bE2Rs9kfhBl2JFhlzyITUpNjq51s3owiD9MZc/bGllf1eU//3k89u4VxYEmTe5hAmlIfKCviGf0wllYb5wRhHdkTj7u6KDJs9MZllW+q5hx/r5ZXmBYXvmhWVZTCgNM6E0fMTPs9PPW4bCRGRYi7ouO/pjvLX3AGv3dRKyYWzAx9iAj4qAj97kmSVtcZc/90ZoSK5xY5E4+yUveVaUz4LO5K3ou5K3Y09N9Byq2GcTtCBoJRbQDtqp/0/8mvgvMfmRb1uU+m3K/DbFycWbD3Y8l0f0Oi47IjEaInGKkpexVfl9dDsua3oirOmO0BF38FvwlcIQX8rPwTdM9rmng2VZjA/nEAwd/775SMcyBT77uBcEP96/u9C2GJ0bIjc3eMT21DpRjbE4uVZisqvYl5j0PPTMNxERE+mfFFnAsizOH1fIrOo8Vm5v549b2+iLJtbVGZWbWFR4b0fiduQb9nazYW83v/3Y5oJxhVxSW3jYRWFbe6Lsbo/g4uK60Nwd5bVPWnFdl4nlYW4/rxLHhXUNXbxf30FP1GFyeZiplblMLAvTF3VoaO+noS2x4HNTV4TWnhg9kXjiDlb7uvmfzV3U5Ccmu1Jn3fh9FufWFDC7rih9pobruuzvivLB7i7e2dFOU2eEJeua+O1HBxhTFKSmOIeqgiCRmEtbX4z23hg7WvoG3G2quz/Oyu3trNzeTihgM6Yoh6rCIFX5icmXqoJg+tK047FxXzcvfdg86C5ofl9iwd3KggCV+UEq8gMUhv0UBH0UhHyE/PaQBzTtvTGak5c3OW7iuc8L+ijLC6T7HNelpSfG3o5+Pm7sYf2ebpq7oryxuXXA1wr6bSIxB9dNLKgNMKYohwsmjabM3w+49EYTd95KLIqdaB1qwvLcmnw+3NPNyu1t+CyLSycUMb3q2M9Yywv6yBtl/ju1IiKSHaKuyzMHehKXE7kuOaEY/cn1hY60jlLAsrgoL8ic/CDl/qH3S1HXZV/UYXdyvZ2WuEOV36Yux09t0EfuYW4xf7qFbYuzQoFBZ9AEbYuvFob4ckEOn/bFKPfbw+LsKDl5IduiLsdPnd4JEpFhSj/dskjAZzN3UgkX1xbS1hujNDeQnlxwXZfd7RE+buxmXUMXLT1R3t7axoptbUwsC1M7KnH5TUV+gM37e1nX0DXg7ksHO7emgJvOLk9ffjW7rojZdYPvhhQO+CjJDTBj9OfrqkRiDvu6ImzY283ahi66+2N82JFYPHlUboALxxdwwbjCQZf4WVbiUrUrzxzFpROKWL2jgxXb2+mJxNmyv5ct+4duTd1x7dyafPpjDhsbe9i4r2fAWVcHK8n1U1kQJC/oI2Bb+H0WQZ9NQU5iIinV1Rd12dq1n3c/3cdfGhJr55TlB7j6rFIq8oMU5CTuUHUiZwQVhf0UHWWNJDt5xk1ZXuL5vX6Gw4a9iYm+wpCf2pJQ+s5pMcelJxKnO+Ikvw//CS1YZ1sW54zJT6yVIyIi4rGAZdGcXKep0GdzQUk+o/t99LsODZE4n0XjHIg55CUX1C60LcYEfVycGzziJUqpr10T9FFj2KXDfstiWvjwd6AUEREZbjQplYXCAd+ghbIPXjPjiiklfLKvh3d2tKcndIaa1LGsxHpRAZ+FnVwQc2plLpfWFZ3w5VdBv83Y4hBji0N8ZWoprW4e7336GeNLQkypCB/Twt3hgI95k0uYM6GYvZ397G5L3OltX1eEkN+mKOynOOSnLD/AmRW5Ay6tmjE6H8d12dOeWMA7tZD33o4IHX0xWntix3aXNgtCOa309fdhWXBpXTFXnlmSkUXmh5LjtzlvbAHnDXF7cr+dutW9B2EiIiKn0Y3FIfJsmzFBH9XVFZ+/4ZLndZmIiIhkgialDGRbFmdV5XFWVR5NnRG2NPdS39rPrtbE5W5VhUHOrSngnDH5R72r2cl2TK8uotTuOaE1dvw+Kz3Bdbx/71CL2nZHEneda+qM0Bf7fLHl/phLV3+czv4YXclFwMNBH5WjiiAS5MLxBUbfgUpERMRUk5OXsQ2XtQpFRETk+GhSynAVBYm74n3hjMTvY3EXv29kHtjlBX3HtEgzHN+ipCIiIiIiIiJy6nlzrZKcNiN1QkpEREREREREzKJJKRERERERERERyThNSomIiIiIiIiISMZpUkpERERERERERDJOk1IiIiIiIiIiIpJxmpQSEREREREREZGM06SUiIiIiIiIiIhknCalREREREREREQk4zQpJSIiIiIiIiIiGadJKRERERERERERyThNSomIiIiIiIiISMZpUkpERERERERERDJOk1IiIiIiIiIiIpJxmpQSEREREREREZGM06SUiIiIiIiIiIhknCalREREREREREQk4zQpJSIiIiIiIiIiGadJKRERERERERERyThNSomIiIiIiIiISMZpUkpERERERERERDLO73XA6fS///u/LF++nLa2Nmpqavjbv/1bpk6d6nWWiIiISMboeEhERESy1bA9U2r16tU8++yz3HDDDTz++ONMnTqVH/3oRzQ3N3udJiIiIpIROh4SERGRbDZsJ6VeeeUV5s6dy7x589LvCpaVlfH66697nSYiIiKSEToeEhERkWw2LC/fi8VibN++neuuu27A4zNnzuTTTz8d8s9Eo1Gi0Wj695ZlEQ6H8ftP71NkWRYAgUAA13VP6991qqndGya3g7n9pnaD2e1gdr/aveF1++k+djhWOh7KDLV7x+R+tXtD7d4xtd/UbvC+/ViPHbLjqOkU6+jowHEcioqKBjxeVFREW1vbkH/m5ZdfZtmyZenff+ELX+C73/0uJSUlpzM1raysLCN/z+mgdm+Y3A7m9pvaDWa3g9n9aveGye2ngo6HMkvt3jG5X+3eULt3TO03tRuyv33YXr4Hn88MHu0xgOuvv55nn302/d9dd9014J3C06W3t5f58+fT29t72v+uU03t3jC5HcztN7UbzG4Hs/vV7g2T208HHQ+dXmr3jsn9aveG2r1jar+p3WBO+7A8U6qwsBDbtge9C9je3j7o3cKUQCBAIBDIQN1AruuyY8cO404FBLV7xeR2MLff1G4wux3M7le7N0xuP5V0PJQZaveOyf1q94bavWNqv6ndYE77sDxTyu/3U1dXx/r16wc8vn79eqZMmeJRlYiIiEjm6HhIREREst2wPFMK4Oqrr+af//mfqaurY/Lkybzxxhs0NzdzxRVXeJ0mIiIikhE6HhIREZFsNmwnpS655BI6Ozt56aWXaG1tZezYsTz44IOUl5d7nTZAIBDgxhtv9ORU+ZOldm+Y3A7m9pvaDWa3g9n9aveGye2nmo6HTj+1e8fkfrV7Q+3eMbXf1G4wp91ys/0CQxERERERERERGXaG5ZpSIiIiIiIiIiKS3TQpJSIiIiIiIiIiGadJKRERERERERERyThNSomIiIiIiIiISMZpUkpERERERERERDJOk1LiKRNv/tje3u51wilj4vNvOhOf8+Ey5k187k1n4nM+XMa7mEXbirdMfP5NZ+JzPlzGvInPvelMfM4zOd41KWU4x3G8TjhuTU1NbN26FQDLsjyuOT67d+/mgQce4NVXX/U65YT09/fT09NDLBYDEs+/aWPItF7QmPfKcBjvYN6Y13gXr2hbyRzTt5XhsH8wrRc05r0yHMY7mDfmNd6PnT8jf4ucUk1NTWzatInZs2dj2zaO42DbZswvtre3853vfIfCwkLuvfdeZs6c6XXSMdu5cyff//73iUQibN++3euc41ZfX8+vfvUrmpubKS8v54wzzuDWW281YuxozHvD5DFv8ngHc8e8xrtkmraVzDN9WzF5/2DqeAeNea+YPN7B3DGv8X58sv8VlQH27NnD/PnzWbZsGW+++WZ6wzRp5riiooJp06bx/PPPs379eq9zjklq47zpppt45JFHWLlyJR9++KHXWcessbGRBQsWMHr0aL761a9SU1PDihUrWLBgAT09PUD2nlaqMe8Nk8e8yeMdzB/zGu+SKdpWMs/0bcXk/YPp4x005jPN5PEO5o95jfdjp0kpg3R1dfHcc88xbdo0zjjjDFasWMEbb7xh1Aaam5tLXl4eZ555JuPGjeO5555j48aNQOIHZzZ+D/X19cyfP5+vfvWrXHvttdTU1DBt2jTee+89YrFYVjYfav369YwfP57bb7+dK664gm984xvcd999tLa28uMf/xjIzlN5Nea9YfqYN3W8g/ljXuNdMkXbSuYNh23F1P2D6eMdNOa9YOp4B/PHvMb78dGklEEcx6GyspLLL7+cu+++m/LyclauXDlgA83m2e54PI7P56OkpISJEydyww03UFtby7PPPstDDz3ECy+8QDQa9TpzgFgsxu9//3tuuukmbr31VgAKCwuZNm0aq1atoqenJ+ufd4Dm5mYOHDiA35+4Ytfn8zF58mTuu+8+Wlpa+Kd/+ieArDsdVmM+84bDmDd1vIPZY17jXTJJ20pmDZdtxdT9g8njHTTmvWLqeAezx7zG+/HLvhEoQ3Jdl8LCQr72ta8xa9Ys8vLyuOOOOwZtoJZlpRexyxapwevz+bBtm/LycjZs2EBNTQ3XX389vb297Nixg2nTppGTk+Nx7UB+v5/bbruNG2+8Efh8gb1rrrmG0tJSli1bln7es9k555xDPB5nzZo1Ax4fN24cf/M3f8OePXvSs/fZQmPeG8NhzJs43sHcMa/xLpmmbSXzhsu2YuL+wdTxDhrzXjNxvIO5Y17j/cRpUirLHXqaXEFBQXoDzM/P54477qCsrCy9gUYiEV544QV+9atfeVT8uUPbUz80wuEwe/bsAWD58uX09PQwffp03nrrLdatW5fxzqGk2h3HoaCgIP371DsJPp+PqVOnsnXrViKRCJB912Qf3FNRUUFNTQ2rVq1i8+bN6cdt22by5Ml0dXWlXxOvacx7w/Qxb+p4B3PHvMa7ZJq2lcwbDtuKqfsHU8c7aMx7ydTxDuaOeY33k2e52bQVyQB79uzhzTffpLu7m7KyMi6//HKKi4vTH0+dutjd3c3TTz9Nc3Mz8XicXbt28eijj1JXV5eV7Vu3buWPf/wj3d3dbNy4kR/84AdEIhGWLl1Kd3c3Dz30EDk5OZ6983C05911XSzLoqmpifvvv5+vf/3rXH311Z60DqW1tRXHcSgtLU3PaFuWxebNm1m8eDHjx4/nyiuvZNq0aUDi+3n00Ue57LLLmDNnjqftGvMa88fL5PEO5o55jXfJNG0r2dUO2b+tmLx/MHW8H61dY/70MXm8g7ljXuP91NCkVJZqaGjg4Ycf5uyzz6azs5Pe3l727dvHt7/9bWbNmpUevKkNtK2tjfnz5xOJRFiwYAHjx4/Pyvazzz6bnTt3Mn/+fIqKivje976X/iGybds2SkpKGDVqVFa2H/q8Azz33HPs2rWLv//7vx+wEXtl9+7dPPbYY4wbN4477riDysrKATPemzZt4tlnnyUUCjFt2jSmTp3Kn//8Z1asWMFPfvITKisrPWvXmM++9mwf8yaPdzB3zGu8S6ZpW8mudhO2FZP3D6aO96O1a8yfPiaPdzB3zGu8nzqalMpCjuPw5JNPYlkW3/3ud3Fdl/b2dpYsWcLq1av51re+xUUXXZSevYxGo/zyl79k1apV6R9I2di+atUqvvWtb3HxxRezYcMGCgoKqK2tTX8fXjve5x3g7bff5oUXXmDRokXk5+d72t/S0sKiRYvo7+8nLy+PoqIibr311kE7pl27drFy5UpWr15NOBzG7/dzzz33UFtb61m7xnz2tWf7mDd5vIO5Y17jXTJN20p2tZuwrZi8fzB1vB+tXWP+9DF5vIO5Y17j/dTyn/KvKKdEZ2cnU6ZMSf++uLiYe+65h0AgwL/+679SWVnJGWecgeM4BAIBWlpaePjhhz3dGaUcS/uMGTPS16Nmw8aZcqzPe+quCnPmzOGcc87x/AAMYOfOnfh8Pu666y4+++wz3n77bZYsWZLeMcXjcRzHYfz48YwbN46bbrqJvr4+AoEAubm5XudrzHvE1DFv+ngHc8e8xrtkmraVzDN5WzF9/2DqeAeNeS+YPt7B3DGv8X7qaKHzLGTbNkVFRaxbty49Q5ma6b7jjjuYMWMG//Zv/0YkEkkvQvbggw8yefJkL7OBo7fPnDmTp556ikgkklUbJhzf8+7z+dJ/rrCw0KvkAc4991xuuukmJk2axNy5c7n00ktpbW1lyZIlNDY2pptT31sgEKCoqCgrdkga894wecybPN7B3DGv8S6Zpm0l80zfVkzeP5g63kFj3ismj3cwd8xrvJ/iptP2leWEpGZSv/jFL+K6Li+99BKxWAzbtonH49i2zbx58+jq6qK5udnj2oHU7r3U4oUA8+bNY86cObS2tvLrX/+affv2Yds2v/nNb+jo6Ej/YPeayc+92r1l4ngHc597U7vB7PaRzNTXzdRuMLv9YCbuH0x+7tXuLRPHO5j73JvaDdnbrsv3skxqJnX69On85S9/Ye3ateTk5HDllVcSDAYBKC8vByAajXrWORS1Z4/UQoBz584FSJ/K6/f7WblyJRdffHFWvLsDZj/3as8OJo13MPe5N7UbzG4fyUx93UztBrPbh2LS/sHk517t2cGk8Q7mPvemdkP2tmfPVKmkxWIxgsEgt912G3V1daxZs4ZnnnmGnp4eWlpaeOedd/D7/ZSUlHidOojavZM67RJIz3YDzJ07l9mzZ7N27VrWrl3L448/ztixY73KHJLJz73avWHyeAdzn3tTu8Hs9pHM1NfN1G4wux3M3j+Y/Nyr3Rsmj3cw97k3tRuys1133/NQLBbD7/cPWNk+NcO9f/9+tm3bxnnnnccrr7zC6tWrqa+vp6amhs7OTubPn5++raTaR0770fpbWlr44IMPmDdv3oDHn3nmGd566y0ee+wxT3dIXV1dBIPB9Ez8wY3Z/tyrPfvas328H44pz/2hTO0Gs9tHClP3zaZ2m95+tP5s3z8M1/2y2r1pz/bxfjimPPeHMrUbsrjdFU80NDS4ixcvdpuamtKPxeNx13Vdt6mpyb377rvd559/Pv14b2+v+6c//cndtGmTu3//fk+aU9TunWPpf/HFFwf8mQ0bNri33367u23btoy2Hqq+vt6966673DVr1qQfM+W5V7s3jqU9W8e767pue3u7u3PnTnfnzp3px0x47k3tdl2z20cyU/fNpna7rtntrqvjIa+o3Rs6HvKGqd2ua167zpTyQH19PQsXLuTiiy/miiuuYPz48emPtbW18Q//8A9ceOGF3HnnnVm3Wr/avXMy/R0dHZ5eQ75z504WLlxILBZj8uTJ3Hfffelbira1tfHAAw9wwQUXZOVzr3ZvnEy71+MdEtvrE088gWVZNDQ08LWvfY2bb74ZyO7n3tRuMLt9JDN132xqN5jdDjoe8oravaHjIW+Y2g2Gtmd8GmyE6+zsdB944AH36aefTj8WjUbd1tbW9MdfeeUVNxaLeVR4eGr3zon2p2bEHcfJWOuhduzY4X7jG99wlyxZ4q5atcq988473fr6+vTH29ra3N/+9reeNh6O2r1xou3ZMN5d13X37t3r3nnnne6SJUvchoYG949//KN78803u83Nza7rum5ra6v7u9/9Lut+3pja7bpmt49kpu6bTe12XbPbXVfHQ15Ruzd0POQNU7td19x23X0vw7q6uvD7/dx88824rsuiRYtobW1l586dzJkzh8svv5y//uu/9jpzSGr3zon2p2776tUs+I4dO/je977H9ddfzy233ALAf/3Xf7F06VLuv/9+AIqKirj22ms96TsStXvjZNq9Hu8pb731FhMmTEj3l5aWsmbNGtrb29m3bx91dXVcffXVnjYOxdRuMLt9JDN132xqN5jdDjoe8oLavaHjIe+Y2g3mtmtSKsP6+vro6uqir6+PxYsX4zgOX/nKV+jt7eXVV1+lo6ODW265herqaq9TB1G7d0zsdxyHd999l2uuuYZbbrllwG1q//CHP7Bz505qa2sHLFCaLdTuDZPbD9bS0oJt2+lFeF999VU+/PBDOjo62LNnD9OnT+f6669n4sSJXqcOYGo3mN0+kpm4bwNzu8HsdjCz3+R9m9q9YXL7wUzdN5vaDea2a1Iqw8LhML29vaxbt468vDxuuOGG9I6zpqaGn/70p2zatCmrdqYpaveOif22bXP99dcTCoWAz9+tOe+881i2bBnvvfcetbW1WbkzVbs3TG4/2JlnnslTTz3FL37xC1zX5d133+X+++9n2rRpNDU1sWjRItatW5d1BwSmdoPZ7SOZifs2MLcbzG4HM/tN3rep3Rsmtx/M1H2zqd1gbrvtdcBI4B60lnxlZSVf+tKXePrpp3n33XeJRCLpz5kyZQpTpkxh06ZNXqUOonbvmNzvOA5AemcKiR2q4zhUVFRw7bXXsmLFChoaGrxKPCy1e8Pkdkhsi6ltdu7cudx9991UVVURiUSYO3cu559/PqFQiNra2vT2Go/HPa42txvMbh/JTN23mdoNZreD2f0m79vU7g2T28HcfbOp3WB2e4ompU6jtrY2IPGD5ODBcuWVV3LZZZcRjUb55JNPiMfjA2a6q6qqvMgdQO3eMbk/1W7b9oCDyJTUNe6TJ08mGo1SX18PfL4D9pLavWFyOwzeXlPmzp3LTTfdRG5ubvrON6mPR6NRxo4d6+k7nKZ2g9ntI5mp+zZTu8HsdjC73+R9m9q9YXI7mLtvNrUbzG4/lCalTpOGhgbuvvtuHn/8cWDgYCktLeWaa67hi1/8Is888wwvvvgiv/vd73j++efZtGkTF198sZfpaveQyf1Haj/UWWedxYwZM1iyZAmRSCS9o/WK2r1hcjsM7rdte9DBYXV1NcuXL2fz5s3s2rWLpUuXsn79er785S979j2Y2g1mt49kpu7bTO0Gs9vB7H6T921q94bJ7WDuvtnUbjC7fSiWe7gRLyesra2Nn/3sZ/h8Pvbs2cOkSZN44IEHANIL1QFEIhHefPNN3nnnHeLxOIWFhdx2223U1taqfYS1g9n9R2o/dBHG1PeyZs0ali9fzvz58ykuLvaoXO1eMbkdjt4PiYPK5uZmXnzxRVavXk11dTU+n497773Xs+3V1G7T20cyU/dtpnab3g5m95u8b1O7N0xuB3P3zaZ2m95+OJqUOg3ef/99Vq1axZVXXkk8HufnP/85kydPTg+WeDyOz+dLf35XVxe5ublEIpEB1w97Qe3eMbn/aO0HH0SmRKNRuru7Pd+Zqt0bJrfD8fdv2rSJcDhMSUkJRUVFXmUb2w1mt49kpu7bTO0Gs9vB7H6T921q94bJ7WDuvtnUbjC7/bBcOeW6urrcDz74IP37DRs2uHfeeaf7+OOPpx+Lx+NuPB73oO7I1O4dk/uPpd1xHA/Kjk7t3jC53XWPfXvNtu/B1G7XNbt9JDN132Zqt+ua3e66ZvebvG9TuzdMbnddc/fNpna7rtnth6NJqQxwHMf96KOPBg2W119/3f300089LDs6tXvH5H61e0Pt3jG139Ru1zW7fSQz9XUztdt1zW53XbP71e4NtXvH1H5Tu13X7PYUXb53CjQ3N1NfX09rayvnnnsuubm55OTkDDh1znEcNm3axBNPPMGUKVMoKSnh9ddf58knn6SyslLtI6zd9H61q30ktZvcb2q36e0jmamvm6ndpreb3q92tY+kdpP7Te02vf1YaVLqJO3atYvHHnuMUaNG0dTURCgU4pJLLuHKK6+koqJi0DWd69ev54c//CF5eXk8/PDD1NXVqX2EtYPZ/WpX+0hqB3P7Te02vX0kM/V1M7Xb9HYwu1/tah9J7WBuv6ndprcfD7/XASbr7u7mF7/4BXPmzOG6664jPz+fZcuWsWHDBvbu3cvtt99OVVVV+s4JjuOwZs0agsEgjz76KDU1NWofYe2m96td7SOp3eR+U7tNbx/JTH3dTO02vd30frWrfSS1m9xvarfp7cfLPvqnyOH09vbS2dnJjBkzyM/PB+DGG29k7ty5dHd3s3TpUlpbW9O38vzkk0/YunUrCxYs8HyQqN07Jver3Rtq946p/aZ2g9ntI5mpr5up3WB2O5jdr3ZvqN07pvab2g1mtx8vTUqdBNu2CQaDtLa2Aolb1ALMmTOH2bNn89lnn7F+/fr059fV1fH973+fCRMmeNJ7MLV7x+R+tXtD7d4xtd/UbjC7fSQz9XUztRvMbgez+9XuDbV7x9R+U7vB7PbjpUmpkzBq1Ciqqqp49dVX6e7uxufzpQfL5ZdfzujRo/m///s/AFzXJRQKUVhY6GVymtq9Y3K/2r2hdu+Y2m9qN5jdPpKZ+rqZ2g1mt4PZ/Wr3htq9Y2q/qd1gdvvx0qTUcejr66O3t5eenp70Y/fccw89PT0sWrSIWCyGz+dLf2zWrFm4rkssFkufVucVtXvH5H61e0Pt3jG139RuMLt9JDP1dTO1G8xuB7P71e4NtXvH1H5Tu8Hs9pOlSalj1NDQwM9+9jMWLFjAfffdx8qVK3Ech8LCQr7zne+we/duHnvsMfbs2UMkEgFg69athMNhvL7Bodq9Y3K/2tU+ktrB3H5Tu01vH8lMfd1M7Ta9HczuV7vaR1I7mNtvarfp7aeC5Q6H7+I0a2ho4JFHHuHSSy9lwoQJbN++nd///vf86Ec/4owzzgCgvr6eJ598kv7+fvLz8ykuLmbjxo0sXLiQ2tpatY+wdtP71a72kdRucr+p3aa3j2Smvm6mdpvebnq/2tU+ktpN7je12/T2U0WTUkfR1dXFz3/+c6qrq/nmN7+ZfnzhwoWMGzeOb37zm+nbMAK89tprtLS0EAwGueSSS6iurvYqXe0eMrlf7d5Qu3dM7Te1G8xuH8lMfd1M7Qaz28HsfrV7Q+3eMbXf1G4wu/1U8nsdkO1isRjd3d1cdNFFADiOg23bVFZW0tnZCYBlWenHr7rqKi9zB1C7d0zuV7s31O4dU/tN7Qaz20cyU183U7vB7HYwu1/t3lC7d0ztN7UbzG4/lbSm1FEUFxfz7W9/m6lTpwKJgQKJ1fBt+/Onz7Ztent707/PhhPQ1O4dk/vV7g21e8fUflO7wez2kczU183UbjC7HczuV7s31O4dU/tN7Qaz208lTUodg9GjRwOJQeL3+9P/397env6cl19+mTfffDN9m8ZsWQFf7d4xuV/t3lC7d0ztN7UbzG4fyUx93UztBrPbwex+tXtD7d4xtd/UbjC7/VTRpNRxsG17wKxkavbyP//zP/n1r3/N9OnTB9ymMZuo3Tsm96vdG2r3jqn9pnaD2e0jmamvm6ndYHY7mN2vdm+o3Tum9pvaDWa3nyxNSh2n1ECxbZvS0lKWL1/O8uXL+fGPf5z1K9+r3Tsm96vdG2r3jqn9pnaD2e0jmamvm6ndYHY7mN2vdm+o3Tum9pvaDWa3nwwtdH6cUjOWfr+fN998k3A4zKOPPkpdXZ3HZUendu+Y3K92b6jdO6b2m9oNZrePZKa+bqZ2g9ntYHa/2r2hdu+Y2m9qN5jdfjJ0ptQJmjVrFgCPPfYYEyZM8Ljm+KjdOyb3q90baveOqf2mdoPZ7SOZqa+bqd1gdjuY3a92b6jdO6b2m9oNZrefCMsdbku3Z1BfXx+hUMjrjBOidu+Y3K92b6jdO6b2m9oNZrePZKa+bqZ2g9ntYHa/2r2hdu+Y2m9qN5jdfrw0KSUiIiIiIiIiIhmny/dERERERERERCTjNCklIiIiIiIiIiIZp0kpERERERERERHJOE1KiYiIiIiIiIhIxmlSSkREREREREREMk6TUiIiIiIiIiIiknGalBIRERERERERkYzzex0gInK6NTU1ce+99w54LBgMkpeXx5gxY5gyZQpz5syhqqrqpP6epUuXsmzZMh555BGmTZt2Ul9LRERE5FTS8ZCIZCNNSonIiFFZWcns2bMBiMVitLe3s3XrVl566SVefvllrr32Wm699VYsy/K4VEREROT00PGQiGQTTUqJyIhRVVXFzTffPOjxTZs28S//8i/893//N7Ztc8stt3hQJyIiInL66XhIRLKJJqVEZMSbOnUqDz30EA888ADLly/n8ssvp6ysjJ6eHl5//XU++OADGhsb6ejooLCwkBkzZnDjjTcOOL19wYIFbNy4EYCFCxemHy8vL2fx4sXp37e3t/Pyyy+zdu1aDhw4QDgcZurUqdx8882MGzcuc9+0iIiIyEF0PCQiXtCklIgIUF1dzcUXX8yKFSt4//33+cpXvkJDQwNLly5l2rRpnH/++YRCIXbv3s0777zDunXrePzxxykvLwfgsssuA2Djxo3MmTMn/XheXl7672hsbGThwoW0tLQwc+ZMzj//fDo6OvjTn/7Ehx9+yA9+8AMmTZqU8e9dREREBHQ8JCKZp0kpEZGks846ixUrVrBt2zYAampq+Pd//3fy8/MHfN5HH33EP/7jP/LSSy/xd3/3d0DiIKypqYmNGzdy2WWXDbmw5+LFi2lra+Ohhx5i5syZ6cdvuOEGHnzwQZ566il++tOfnsbvUEREROTIdDwkIplkex0gIpItRo0aBUBnZycAubm5gw7AAKZPn87YsWPZsGHDMX/tHTt28OmnnzJnzpwBB2CQeFdy3rx51NfXU19ffxLfgYiIiMjJ0fGQiGSSzpQSEUlyXXfQYx9//DH/8z//w9atW+ns7CQej6c/5vcf+4/QLVu2ANDW1sbSpUsHfXz37t0A7NmzR2spiIiIiGd0PCQimaRJKRGRpNbWVgAKCgoAWLNmDU888QShUIhZs2ZRXl5OTk4OAG+//Tb79+8/5q/d1dUFwLp161i3bt1hP6+vr+9E80VEREROmo6HRCSTNCklIpKUulvMxIkTAfjNb35DIBDgJz/5CaNHjx7wuatXrz6urx0OhwG44447uOqqq05BrYiIiMipp+MhEckkrSklIkLiNPE1a9YQCAS44IILANi3bx9jxowZdADW0tLCvn37Bn0N2078SHUcZ9DHUneR2bx586lOFxERETkldDwkIpmmSSkRGfE++eQTfvjDHxKNRrnuuuvSC3yWlZXR2NhIW1tb+nMjkQj/8R//MWAthZTUIqAHDhwY9LGJEycyadIkVq1aNeS7io7jpN+ZFBEREck0HQ+JiBcsd6iV7EREhpGmpibuvfdeKisrmT17NgCxWIyOjg62bNnCZ599hm3bXHfddXz961/HsiwAXnvtNX75y19SUlLChRdeiOM4rF+/Htd1CYVC7Nq1a8AinQ0NDdx///2UlJRw6aWXkpubS25uLl/+8pfTHQsXLmT//v1MmjSJuro6AoEAzc3NbNmyhY6ODl588cXMP0EiIiIy7Ol4SESykSalRGTYSx2EHSwYDJKXl0d1dTVnnnkmc+bMoaqqasDnuK7LG2+8wWuvvUZjYyN5eXmce+653HrrrSxatIiNGzcOunPMW2+9xSuvvMLevXuJRqOUl5ezePHi9Me7urp45ZVXeP/999m3bx+2bVNSUsKECRO46KKL0qfKi4iIiJxKOh4SkWykSSkREREREREREck4rSklIiIiIiIiIiIZp0kpERERERERERHJOE1KiYiIiIiIiIhIxmlSSkREREREREREMk6TUiIiIiIiIiIiknGalBIRERERERERkYzTpJSIiIiIiIiIiGScJqVERERERERERCTjNCklIiIiIiIiIiIZp0kpERERERERERHJOE1KiYiIiIiIiIhIxmlSSkREREREREREMu7/A6jci+pH2PJWAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# Define number of stocks per subplot\n",
    "n_stocks = len(dataset.columns)\n",
    "n_stocks_per_subplot = 5\n",
    "\n",
    "plot_colors = sns.color_palette(\"tab10\", n_colors=n_stocks)\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12, 6))\n",
    "\n",
    "# Plot the first 5 stocks in the first subplot\n",
    "for i, column in enumerate(dataset.columns[:n_stocks_per_subplot]):\n",
    "    sns.lineplot(x=dataset.index, y=dataset[column], label=column, color=plot_colors[i], alpha=0.7, ax=axes[0])\n",
    "\n",
    "# Configure the first subplot\n",
    "axes[0].set_ylim(0, 800)\n",
    "axes[0].set_xlabel(\"Date\", fontsize=14)\n",
    "axes[0].set_ylabel(\"Stock Value\", fontsize=14)\n",
    "axes[0].legend(title=\"\", fontsize=12, ncol=2, loc='upper center')\n",
    "axes[0].tick_params(axis='x', rotation=45)\n",
    "\n",
    "# Plot the remaining stocks in the second subplot\n",
    "for i, column in enumerate(dataset.columns[n_stocks_per_subplot:]):\n",
    "    sns.lineplot(x=dataset.index, y=dataset[column], label=column, color=plot_colors[i + n_stocks_per_subplot], alpha=0.7, ax=axes[1])\n",
    "\n",
    "# Configure the second subplot\n",
    "axes[1].set_ylim(0, 300)\n",
    "axes[1].set_xlabel(\"Date\", fontsize=14)\n",
    "axes[1].set_ylabel(\"\")\n",
    "axes[1].legend(title=\"\", fontsize=12, ncol=2, loc='upper center')\n",
    "axes[1].tick_params(axis='x', rotation=45)\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c15830b",
   "metadata": {},
   "source": [
    "**Figure 1:** The figure shows stock values for 10 companies (5 in each subplot) in our dataset over time. Meta's stocks are shown on the left subplot in grey. We see a steady rise in stock value over time, up until a drop in the spring of 2018 and then a rise again."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f15e393d",
   "metadata": {},
   "source": [
    "### Calculating correlations between stocks\n",
    "\n",
    "Our dataset includes stock values for 10 companies. To streamline the analysis and ensure we use stocks that are similar to Meta's, we first calculate a correlation matrix. This matrix helps identify which stocks are most similar to Meta’s, and these stocks will serve as our control group. The matrix highlights the relationships between the stock values of different companies, making it easier to detect patterns and redundancies within the dataset. Each cell in the matrix represents the correlation coefficient between two stock values, ranging from -1 (indicating a perfect negative correlation) to +1 (indicating a perfect positive correlation)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9575bad5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Ticker</th>\n",
       "      <th>BMW.DE</th>\n",
       "      <th>CARL-B.CO</th>\n",
       "      <th>DIS</th>\n",
       "      <th>GE</th>\n",
       "      <th>GS</th>\n",
       "      <th>KHC</th>\n",
       "      <th>MCD</th>\n",
       "      <th>META</th>\n",
       "      <th>NVS</th>\n",
       "      <th>WMT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ticker</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>BMW.DE</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.674892</td>\n",
       "      <td>0.702444</td>\n",
       "      <td>-0.557817</td>\n",
       "      <td>0.900979</td>\n",
       "      <td>0.107127</td>\n",
       "      <td>0.731254</td>\n",
       "      <td>0.748478</td>\n",
       "      <td>0.537510</td>\n",
       "      <td>0.672029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CARL-B.CO</th>\n",
       "      <td>0.674892</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.509228</td>\n",
       "      <td>-0.764425</td>\n",
       "      <td>0.657175</td>\n",
       "      <td>0.056419</td>\n",
       "      <td>0.931387</td>\n",
       "      <td>0.933555</td>\n",
       "      <td>0.865769</td>\n",
       "      <td>0.883627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DIS</th>\n",
       "      <td>0.702444</td>\n",
       "      <td>0.509228</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.320905</td>\n",
       "      <td>0.776789</td>\n",
       "      <td>0.350990</td>\n",
       "      <td>0.554587</td>\n",
       "      <td>0.548770</td>\n",
       "      <td>0.331059</td>\n",
       "      <td>0.471792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GE</th>\n",
       "      <td>-0.557817</td>\n",
       "      <td>-0.764425</td>\n",
       "      <td>-0.320905</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.592108</td>\n",
       "      <td>0.418724</td>\n",
       "      <td>-0.822426</td>\n",
       "      <td>-0.814880</td>\n",
       "      <td>-0.705464</td>\n",
       "      <td>-0.899157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GS</th>\n",
       "      <td>0.900979</td>\n",
       "      <td>0.657175</td>\n",
       "      <td>0.776789</td>\n",
       "      <td>-0.592108</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.174427</td>\n",
       "      <td>0.747511</td>\n",
       "      <td>0.797409</td>\n",
       "      <td>0.485084</td>\n",
       "      <td>0.691522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KHC</th>\n",
       "      <td>0.107127</td>\n",
       "      <td>0.056419</td>\n",
       "      <td>0.350990</td>\n",
       "      <td>0.418724</td>\n",
       "      <td>0.174427</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.059333</td>\n",
       "      <td>0.061596</td>\n",
       "      <td>-0.012951</td>\n",
       "      <td>-0.106799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MCD</th>\n",
       "      <td>0.731254</td>\n",
       "      <td>0.931387</td>\n",
       "      <td>0.554587</td>\n",
       "      <td>-0.822426</td>\n",
       "      <td>0.747511</td>\n",
       "      <td>-0.059333</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.945877</td>\n",
       "      <td>0.834642</td>\n",
       "      <td>0.894801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>META</th>\n",
       "      <td>0.748478</td>\n",
       "      <td>0.933555</td>\n",
       "      <td>0.548770</td>\n",
       "      <td>-0.814880</td>\n",
       "      <td>0.797409</td>\n",
       "      <td>0.061596</td>\n",
       "      <td>0.945877</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.825899</td>\n",
       "      <td>0.896711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NVS</th>\n",
       "      <td>0.537510</td>\n",
       "      <td>0.865769</td>\n",
       "      <td>0.331059</td>\n",
       "      <td>-0.705464</td>\n",
       "      <td>0.485084</td>\n",
       "      <td>-0.012951</td>\n",
       "      <td>0.834642</td>\n",
       "      <td>0.825899</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.787711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WMT</th>\n",
       "      <td>0.672029</td>\n",
       "      <td>0.883627</td>\n",
       "      <td>0.471792</td>\n",
       "      <td>-0.899157</td>\n",
       "      <td>0.691522</td>\n",
       "      <td>-0.106799</td>\n",
       "      <td>0.894801</td>\n",
       "      <td>0.896711</td>\n",
       "      <td>0.787711</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Ticker       BMW.DE  CARL-B.CO       DIS        GE        GS       KHC  \\\n",
       "Ticker                                                                   \n",
       "BMW.DE     1.000000   0.674892  0.702444 -0.557817  0.900979  0.107127   \n",
       "CARL-B.CO  0.674892   1.000000  0.509228 -0.764425  0.657175  0.056419   \n",
       "DIS        0.702444   0.509228  1.000000 -0.320905  0.776789  0.350990   \n",
       "GE        -0.557817  -0.764425 -0.320905  1.000000 -0.592108  0.418724   \n",
       "GS         0.900979   0.657175  0.776789 -0.592108  1.000000  0.174427   \n",
       "KHC        0.107127   0.056419  0.350990  0.418724  0.174427  1.000000   \n",
       "MCD        0.731254   0.931387  0.554587 -0.822426  0.747511 -0.059333   \n",
       "META       0.748478   0.933555  0.548770 -0.814880  0.797409  0.061596   \n",
       "NVS        0.537510   0.865769  0.331059 -0.705464  0.485084 -0.012951   \n",
       "WMT        0.672029   0.883627  0.471792 -0.899157  0.691522 -0.106799   \n",
       "\n",
       "Ticker          MCD      META       NVS       WMT  \n",
       "Ticker                                             \n",
       "BMW.DE     0.731254  0.748478  0.537510  0.672029  \n",
       "CARL-B.CO  0.931387  0.933555  0.865769  0.883627  \n",
       "DIS        0.554587  0.548770  0.331059  0.471792  \n",
       "GE        -0.822426 -0.814880 -0.705464 -0.899157  \n",
       "GS         0.747511  0.797409  0.485084  0.691522  \n",
       "KHC       -0.059333  0.061596 -0.012951 -0.106799  \n",
       "MCD        1.000000  0.945877  0.834642  0.894801  \n",
       "META       0.945877  1.000000  0.825899  0.896711  \n",
       "NVS        0.834642  0.825899  1.000000  0.787711  \n",
       "WMT        0.894801  0.896711  0.787711  1.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# checking correlations\n",
    "pd.set_option('display.max_columns', None)\n",
    "dataset_corr = dataset[dataset.index < treatment_start]\n",
    "dataset_corr.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d935976a",
   "metadata": {},
   "source": [
    "### Figure 2: Plotting correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ac526162",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(dataset_corr.corr(), cmap='viridis', vmin=-1, vmax=1, center=0)\n",
    "plt.title('Correlation Matrix', fontsize=16)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b8c3f8e",
   "metadata": {},
   "source": [
    "**Figure 2:** The figure presents a 10x10 correlation matrix that visualizes the pairwise correlations between 10 stock values in our dataset. Positive correlations are indicated by warmer colors, while negative correlations are shown in cooler colors. The diagonal of the matrix displays perfect correlations of 1, representing the correlation of each stock with itself. The matrix reveals that Meta's stock values are most closely correlated with those of Carlsberg, Goldman Sachs, McDonald's, Walmart, and Novartis, as indicated by the brighter colors in the figure."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b9fce4e",
   "metadata": {},
   "source": [
    "## Run CausalImpact on Meta's and five other stocks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "04ebca6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# take only the most correlated stocks\n",
    "final_series = dataset[[\"META\", \"CARL-B.CO\", \"GS\", \"MCD\", \"NVS\", \"WMT\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "75d80cba",
   "metadata": {},
   "outputs": [],
   "source": [
    "# prepare data for causal impact\n",
    "training_start = pd.to_datetime(training_start)\n",
    "training_end = pd.to_datetime(training_end)\n",
    "treatment_start = pd.to_datetime(treatment_start)\n",
    "treatment_end = pd.to_datetime(treatment_end)\n",
    "\n",
    "pre_period = [training_start, training_end]\n",
    "post_period = [treatment_start, treatment_end]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d2a01534",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUNNING THE L-BFGS-B CODE\n",
      "\n",
      "           * * *\n",
      "\n",
      "Machine precision = 2.220D-16\n",
      " N =            7     M =           10\n",
      "\n",
      "At X0         0 variables are exactly at the bounds\n",
      "\n",
      "At iterate    0    f=  9.26826D-01    |proj g|=  9.45652D-01\n",
      "\n",
      "At iterate    5    f= -5.65337D-01    |proj g|=  4.92907D-01\n",
      "\n",
      "At iterate   10    f= -6.18559D-01    |proj g|=  1.30848D+00\n",
      "\n",
      "At iterate   15    f= -6.35710D-01    |proj g|=  1.68083D-01\n",
      "\n",
      "At iterate   20    f= -6.36204D-01    |proj g|=  6.23069D-03\n",
      "\n",
      "At iterate   25    f= -6.36216D-01    |proj g|=  9.82512D-04\n",
      "\n",
      "At iterate   30    f= -6.36216D-01    |proj g|=  4.44680D-06\n",
      "\n",
      "           * * *\n",
      "\n",
      "Tit   = total number of iterations\n",
      "Tnf   = total number of function evaluations\n",
      "Tnint = total number of segments explored during Cauchy searches\n",
      "Skip  = number of BFGS updates skipped\n",
      "Nact  = number of active bounds at final generalized Cauchy point\n",
      "Projg = norm of the final projected gradient\n",
      "F     = final function value\n",
      "\n",
      "           * * *\n",
      "\n",
      "   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F\n",
      "    7     30     41      1     0     0   4.447D-06  -6.362D-01\n",
      "  F = -0.63621582507454999     \n",
      "\n",
      "CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            \n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " This problem is unconstrained.\n"
     ]
    }
   ],
   "source": [
    "# run causal impact\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "impact = CausalImpact(data = final_series, \n",
    "                      pre_period = pre_period, \n",
    "                      post_period = post_period)\n",
    "impact.run()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c69a67f",
   "metadata": {},
   "source": [
    "### Figure 3: Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "49678a54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1200 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot and interpret the results using CausalImpact package\n",
    "impact.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77515768",
   "metadata": {},
   "source": [
    "**Figure 3:** This figure presents the results of the causal analysis. The upper subplot displays observed values of Meta’s stock (black) alongside the modeled values (dashed red) over time. A significant divergence between observed and predicted values occurs after the intervention (the Cambridge Analytica scandal), marked by the vertical dashed black line. The middle subplot shows the difference between observed and predicted time-series, represented by the dashed red line. The lower subplot illustrates the cumulative impact of the intervention, also shown with a dashed red line. The impact shows an immediate decrease following the intervention, but it returns to \"normal\" after 3-4 months."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9ba2ccdc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                               Average      Cumulative\n",
      "Actual                             183            3485\n",
      "Predicted                          184            3514\n",
      "95% CI                      [166, 203]    [3170, 3859]\n",
      "                                                      \n",
      "Absolute Effect                     -1             -29\n",
      "95% CI                       [16, -19]     [315, -374]\n",
      "                                                      \n",
      "Relative Effect                  -0.8%           -0.8%\n",
      "95% CI                  [9.0%, -10.6%]  [9.0%, -10.6%]\n",
      "                                                      \n",
      "P-value                           0.0%                \n",
      "Prob. of Causal Effect          100.0%                \n",
      "None\n",
      "During the post-intervention period, the response             variable had an average value of             approx. 183.\n",
      "By contrast, in  the absence of an intervention, we would have expected an average response of 184. The 95% interval of\n",
      "this counterfactual prediction is [166, 203]. Subtracting this prediction from the observed response yields an estimate\n",
      "of the causal effect the intervention had on the response variable. This effect is -1 with a 95% interval of [16, -19].\n",
      "For a discussion of the significance of this effect, see below.\n",
      "\n",
      "\n",
      " Summing up the individual data points during the post-intervention period (which can only sometimes be meaningfully\n",
      "interpreted), the response variable had an overall value of 3485.  By contrast, had  the intervention not taken place,\n",
      "we would have expected a sum of 3514. The 95% interval of this prediction is [3170, 3859]\n",
      "\n",
      "\n",
      " The above results are given in terms of absolute numbers. In relative terms, the response variable showed  a decrease\n",
      "of  -0.8%. The 95% interval of this percentage is [9.0%, -10.6%]\n",
      "\n",
      "\n",
      " This  means that the negative effect observed during the intervention period is statistically significant. If the\n",
      "experimenter had expected a positive effect, it is recommended to double-check whether anomalies in the control\n",
      "variables may have caused an overly optimistic expectation of what should have happened in the response variable in the\n",
      "absence of the intervention.\n",
      "\n",
      "\n",
      "The probability of obtaining this effect by                 chance is very small (Bayesian one-sided tail-area\n",
      "probability 0.0). This means the                 causal effect can be considered statistically\n",
      "significant.\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(impact.summary())\n",
    "print(impact.summary('report'))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30a1673e",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "In this notebook, we demonstrated how to use Google's CausalImpact package. It is user-friendly, especially for beginners in causal analysis. The analysis, which utilized Bayesian Structural Time Series models showed how interventions, such as the Cambridge Analytica scandal, impacted Meta's stock values. The package is easy to use and helpful for understanding the effects of specific events. It can be applied to various scenarios where analyzing the impact of changes is important, such as public health interventions, policy changes, economic events, or marketing campaigns."
   ]
  }
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