what-makes-a-good-app.ipynb

{
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  {
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     "status": "completed"
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    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/kaggle/input/app-store-apple-data-set-10k-apps/AppleStore.csv\n",
      "/kaggle/input/app-store-apple-data-set-10k-apps/appleStore_description.csv\n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>id</th>\n",
       "      <th>size_bytes</th>\n",
       "      <th>price</th>\n",
       "      <th>rating_count_tot</th>\n",
       "      <th>rating_count_ver</th>\n",
       "      <th>user_rating_ver</th>\n",
       "      <th>sup_devices.num</th>\n",
       "      <th>ipadSc_urls.num</th>\n",
       "      <th>lang.num</th>\n",
       "      <th>vpp_lic</th>\n",
       "      <th>user_rating</th>\n",
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       "      <th>count</th>\n",
       "      <td>7197.000000</td>\n",
       "      <td>7.197000e+03</td>\n",
       "      <td>7.197000e+03</td>\n",
       "      <td>7197.000000</td>\n",
       "      <td>7.197000e+03</td>\n",
       "      <td>7197.000000</td>\n",
       "      <td>7197.000000</td>\n",
       "      <td>7197.000000</td>\n",
       "      <td>7197.000000</td>\n",
       "      <td>7197.000000</td>\n",
       "      <td>7197.000000</td>\n",
       "      <td>7197.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4759.069612</td>\n",
       "      <td>8.631310e+08</td>\n",
       "      <td>1.991345e+08</td>\n",
       "      <td>1.726218</td>\n",
       "      <td>1.289291e+04</td>\n",
       "      <td>460.373906</td>\n",
       "      <td>3.253578</td>\n",
       "      <td>37.361817</td>\n",
       "      <td>3.707100</td>\n",
       "      <td>5.434903</td>\n",
       "      <td>0.993053</td>\n",
       "      <td>3.526956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3093.625213</td>\n",
       "      <td>2.712368e+08</td>\n",
       "      <td>3.592069e+08</td>\n",
       "      <td>5.833006</td>\n",
       "      <td>7.573941e+04</td>\n",
       "      <td>3920.455183</td>\n",
       "      <td>1.809363</td>\n",
       "      <td>3.737715</td>\n",
       "      <td>1.986005</td>\n",
       "      <td>7.919593</td>\n",
       "      <td>0.083066</td>\n",
       "      <td>1.517948</td>\n",
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       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.816565e+08</td>\n",
       "      <td>5.898240e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2090.000000</td>\n",
       "      <td>6.000937e+08</td>\n",
       "      <td>4.692275e+07</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.800000e+01</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4380.000000</td>\n",
       "      <td>9.781482e+08</td>\n",
       "      <td>9.715302e+07</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000e+02</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7223.000000</td>\n",
       "      <td>1.082310e+09</td>\n",
       "      <td>1.819249e+08</td>\n",
       "      <td>1.990000</td>\n",
       "      <td>2.793000e+03</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.500000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>11097.000000</td>\n",
       "      <td>1.188376e+09</td>\n",
       "      <td>4.025970e+09</td>\n",
       "      <td>299.990000</td>\n",
       "      <td>2.974676e+06</td>\n",
       "      <td>177050.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>5.000000</td>\n",
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       "         Unnamed: 0            id    size_bytes        price  \\\n",
       "count   7197.000000  7.197000e+03  7.197000e+03  7197.000000   \n",
       "mean    4759.069612  8.631310e+08  1.991345e+08     1.726218   \n",
       "std     3093.625213  2.712368e+08  3.592069e+08     5.833006   \n",
       "min        1.000000  2.816565e+08  5.898240e+05     0.000000   \n",
       "25%     2090.000000  6.000937e+08  4.692275e+07     0.000000   \n",
       "50%     4380.000000  9.781482e+08  9.715302e+07     0.000000   \n",
       "75%     7223.000000  1.082310e+09  1.819249e+08     1.990000   \n",
       "max    11097.000000  1.188376e+09  4.025970e+09   299.990000   \n",
       "\n",
       "       rating_count_tot  rating_count_ver  user_rating_ver  sup_devices.num  \\\n",
       "count      7.197000e+03       7197.000000      7197.000000      7197.000000   \n",
       "mean       1.289291e+04        460.373906         3.253578        37.361817   \n",
       "std        7.573941e+04       3920.455183         1.809363         3.737715   \n",
       "min        0.000000e+00          0.000000         0.000000         9.000000   \n",
       "25%        2.800000e+01          1.000000         2.500000        37.000000   \n",
       "50%        3.000000e+02         23.000000         4.000000        37.000000   \n",
       "75%        2.793000e+03        140.000000         4.500000        38.000000   \n",
       "max        2.974676e+06     177050.000000         5.000000        47.000000   \n",
       "\n",
       "       ipadSc_urls.num     lang.num      vpp_lic  user_rating  \n",
       "count      7197.000000  7197.000000  7197.000000  7197.000000  \n",
       "mean          3.707100     5.434903     0.993053     3.526956  \n",
       "std           1.986005     7.919593     0.083066     1.517948  \n",
       "min           0.000000     0.000000     0.000000     0.000000  \n",
       "25%           3.000000     1.000000     1.000000     3.500000  \n",
       "50%           5.000000     1.000000     1.000000     4.000000  \n",
       "75%           5.000000     8.000000     1.000000     4.500000  \n",
       "max           5.000000    75.000000     1.000000     5.000000  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.linear_model import Lasso\n",
    "from sklearn.linear_model import ElasticNet\n",
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "from sklearn.model_selection import RepeatedKFold\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session\n",
    "df = pd.read_csv(\"/kaggle/input/app-store-apple-data-set-10k-apps/AppleStore.csv\")\n",
    "\n",
    "# Move the \"user_rating\" column to be the last column\n",
    "cols = [col for col in df.columns if col != 'user_rating'] + ['user_rating']\n",
    "df = df[cols]\n",
    "\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6446073",
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    "tags": []
   },
   "source": [
    "# Explore the data\n",
    "Let's try to find what data represents and find out the **correlation** between the features\n",
    "This is needed to know where to start, how to **process** the **dataset** (Maybe drop duplicates, or maybe entire columns?), and what kind of **model** too choose in case we want to *predict* anything"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5bb01f09",
   "metadata": {
    "execution": {
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     "start_time": "2024-06-11T23:21:01.564697",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>id</th>\n",
       "      <th>track_name</th>\n",
       "      <th>size_bytes</th>\n",
       "      <th>currency</th>\n",
       "      <th>price</th>\n",
       "      <th>rating_count_tot</th>\n",
       "      <th>rating_count_ver</th>\n",
       "      <th>user_rating_ver</th>\n",
       "      <th>ver</th>\n",
       "      <th>cont_rating</th>\n",
       "      <th>prime_genre</th>\n",
       "      <th>sup_devices.num</th>\n",
       "      <th>ipadSc_urls.num</th>\n",
       "      <th>lang.num</th>\n",
       "      <th>vpp_lic</th>\n",
       "      <th>user_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>281656475</td>\n",
       "      <td>PAC-MAN Premium</td>\n",
       "      <td>100788224</td>\n",
       "      <td>USD</td>\n",
       "      <td>3.99</td>\n",
       "      <td>21292</td>\n",
       "      <td>26</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6.3.5</td>\n",
       "      <td>4+</td>\n",
       "      <td>Games</td>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>281796108</td>\n",
       "      <td>Evernote - stay organized</td>\n",
       "      <td>158578688</td>\n",
       "      <td>USD</td>\n",
       "      <td>0.00</td>\n",
       "      <td>161065</td>\n",
       "      <td>26</td>\n",
       "      <td>3.5</td>\n",
       "      <td>8.2.2</td>\n",
       "      <td>4+</td>\n",
       "      <td>Productivity</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>281940292</td>\n",
       "      <td>WeatherBug - Local Weather, Radar, Maps, Alerts</td>\n",
       "      <td>100524032</td>\n",
       "      <td>USD</td>\n",
       "      <td>0.00</td>\n",
       "      <td>188583</td>\n",
       "      <td>2822</td>\n",
       "      <td>4.5</td>\n",
       "      <td>5.0.0</td>\n",
       "      <td>4+</td>\n",
       "      <td>Weather</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>282614216</td>\n",
       "      <td>eBay: Best App to Buy, Sell, Save! Online Shop...</td>\n",
       "      <td>128512000</td>\n",
       "      <td>USD</td>\n",
       "      <td>0.00</td>\n",
       "      <td>262241</td>\n",
       "      <td>649</td>\n",
       "      <td>4.5</td>\n",
       "      <td>5.10.0</td>\n",
       "      <td>12+</td>\n",
       "      <td>Shopping</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>282935706</td>\n",
       "      <td>Bible</td>\n",
       "      <td>92774400</td>\n",
       "      <td>USD</td>\n",
       "      <td>0.00</td>\n",
       "      <td>985920</td>\n",
       "      <td>5320</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.5.1</td>\n",
       "      <td>4+</td>\n",
       "      <td>Reference</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   Unnamed: 0         id                                         track_name  \\\n",
       "0           1  281656475                                    PAC-MAN Premium   \n",
       "1           2  281796108                          Evernote - stay organized   \n",
       "2           3  281940292    WeatherBug - Local Weather, Radar, Maps, Alerts   \n",
       "3           4  282614216  eBay: Best App to Buy, Sell, Save! Online Shop...   \n",
       "4           5  282935706                                              Bible   \n",
       "\n",
       "   size_bytes currency  price  rating_count_tot  rating_count_ver  \\\n",
       "0   100788224      USD   3.99             21292                26   \n",
       "1   158578688      USD   0.00            161065                26   \n",
       "2   100524032      USD   0.00            188583              2822   \n",
       "3   128512000      USD   0.00            262241               649   \n",
       "4    92774400      USD   0.00            985920              5320   \n",
       "\n",
       "   user_rating_ver     ver cont_rating   prime_genre  sup_devices.num  \\\n",
       "0              4.5   6.3.5          4+         Games               38   \n",
       "1              3.5   8.2.2          4+  Productivity               37   \n",
       "2              4.5   5.0.0          4+       Weather               37   \n",
       "3              4.5  5.10.0         12+      Shopping               37   \n",
       "4              5.0   7.5.1          4+     Reference               37   \n",
       "\n",
       "   ipadSc_urls.num  lang.num  vpp_lic  user_rating  \n",
       "0                5        10        1          4.0  \n",
       "1                5        23        1          4.0  \n",
       "2                5         3        1          3.5  \n",
       "3                5         9        1          4.0  \n",
       "4                5        45        1          4.5  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
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    },
    "tags": []
   },
   "source": [
    "Let's check if the `currency` column has anything other that USD in it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "46f78888",
   "metadata": {
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     "duration": 0.035539,
     "end_time": "2024-06-11T23:21:01.653639",
     "exception": false,
     "start_time": "2024-06-11T23:21:01.618100",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>id</th>\n",
       "      <th>track_name</th>\n",
       "      <th>size_bytes</th>\n",
       "      <th>currency</th>\n",
       "      <th>price</th>\n",
       "      <th>rating_count_tot</th>\n",
       "      <th>rating_count_ver</th>\n",
       "      <th>user_rating_ver</th>\n",
       "      <th>ver</th>\n",
       "      <th>cont_rating</th>\n",
       "      <th>prime_genre</th>\n",
       "      <th>sup_devices.num</th>\n",
       "      <th>ipadSc_urls.num</th>\n",
       "      <th>lang.num</th>\n",
       "      <th>vpp_lic</th>\n",
       "      <th>user_rating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>281656475</td>\n",
       "      <td>PAC-MAN Premium</td>\n",
       "      <td>100788224</td>\n",
       "      <td>USD</td>\n",
       "      <td>3.99</td>\n",
       "      <td>21292</td>\n",
       "      <td>26</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6.3.5</td>\n",
       "      <td>4+</td>\n",
       "      <td>Games</td>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0         id       track_name  size_bytes currency  price  \\\n",
       "0           1  281656475  PAC-MAN Premium   100788224      USD   3.99   \n",
       "\n",
       "   rating_count_tot  rating_count_ver  user_rating_ver    ver cont_rating  \\\n",
       "0             21292                26              4.5  6.3.5          4+   \n",
       "\n",
       "  prime_genre  sup_devices.num  ipadSc_urls.num  lang.num  vpp_lic  \\\n",
       "0       Games               38                5        10        1   \n",
       "\n",
       "   user_rating  \n",
       "0          4.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "currencies = df.drop_duplicates(subset=[\"currency\"])\n",
    "currencies"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea71896d",
   "metadata": {
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     "start_time": "2024-06-11T23:21:01.663220",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Interesting, so currency row is basically..useless? Wonderful, we'll get rid of it later on.\n",
    "Now let's see if apps with no ratings provide any weight."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4d7b4e99",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-11T23:21:01.688163Z",
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     "end_time": "2024-06-11T23:21:01.718300",
     "exception": false,
     "start_time": "2024-06-11T23:21:01.679427",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>Unnamed: 0</th>\n",
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       "      <th>price</th>\n",
       "      <th>rating_count_tot</th>\n",
       "      <th>rating_count_ver</th>\n",
       "      <th>user_rating_ver</th>\n",
       "      <th>ver</th>\n",
       "      <th>cont_rating</th>\n",
       "      <th>prime_genre</th>\n",
       "      <th>sup_devices.num</th>\n",
       "      <th>ipadSc_urls.num</th>\n",
       "      <th>lang.num</th>\n",
       "      <th>vpp_lic</th>\n",
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       "      <th>199</th>\n",
       "      <td>227</td>\n",
       "      <td>329174056</td>\n",
       "      <td>iLoan Calc (Loan calculator)</td>\n",
       "      <td>3375104</td>\n",
       "      <td>USD</td>\n",
       "      <td>3.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.1.0</td>\n",
       "      <td>4+</td>\n",
       "      <td>Finance</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>340</td>\n",
       "      <td>350480010</td>\n",
       "      <td>eBook: War and Peace</td>\n",
       "      <td>8039424</td>\n",
       "      <td>USD</td>\n",
       "      <td>3.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>9+</td>\n",
       "      <td>Book</td>\n",
       "      <td>37</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>371</td>\n",
       "      <td>355709084</td>\n",
       "      <td>Jourist Weltübersetzer</td>\n",
       "      <td>147066880</td>\n",
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       "      <td>7.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4+</td>\n",
       "      <td>Travel</td>\n",
       "      <td>40</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>441</th>\n",
       "      <td>503</td>\n",
       "      <td>377321278</td>\n",
       "      <td>恵方コンパス.</td>\n",
       "      <td>41207059</td>\n",
       "      <td>USD</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.1.0</td>\n",
       "      <td>4+</td>\n",
       "      <td>Navigation</td>\n",
       "      <td>39</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>517</td>\n",
       "      <td>379256460</td>\n",
       "      <td>「宅建士」過去問題《受験用》</td>\n",
       "      <td>24444928</td>\n",
       "      <td>USD</td>\n",
       "      <td>3.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>4+</td>\n",
       "      <td>Education</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
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       "      <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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>7181</th>\n",
       "      <td>11038</td>\n",
       "      <td>1185428381</td>\n",
       "      <td>剑倚手游</td>\n",
       "      <td>178160640</td>\n",
       "      <td>USD</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9+</td>\n",
       "      <td>Games</td>\n",
       "      <td>40</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7182</th>\n",
       "      <td>11040</td>\n",
       "      <td>1185538497</td>\n",
       "      <td>camera for filter</td>\n",
       "      <td>9362432</td>\n",
       "      <td>USD</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0.3</td>\n",
       "      <td>4+</td>\n",
       "      <td>Photo &amp; Video</td>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7184</th>\n",
       "      <td>11042</td>\n",
       "      <td>1185731859</td>\n",
       "      <td>剑客情缘-高爆率高掉落天天疯玩</td>\n",
       "      <td>171944960</td>\n",
       "      <td>USD</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9+</td>\n",
       "      <td>Games</td>\n",
       "      <td>40</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7185</th>\n",
       "      <td>11043</td>\n",
       "      <td>1185777521</td>\n",
       "      <td>问仙奇遇-新玩法新套装嗨到爆</td>\n",
       "      <td>208026624</td>\n",
       "      <td>USD</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>9+</td>\n",
       "      <td>Games</td>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7189</th>\n",
       "      <td>11074</td>\n",
       "      <td>1187128255</td>\n",
       "      <td>飞刀传奇-动作武侠热血江湖即时PK传奇（登录爆金装）</td>\n",
       "      <td>537462784</td>\n",
       "      <td>USD</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.1.0</td>\n",
       "      <td>9+</td>\n",
       "      <td>Games</td>\n",
       "      <td>38</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>929 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Unnamed: 0          id                    track_name  size_bytes  \\\n",
       "199          227   329174056  iLoan Calc (Loan calculator)     3375104   \n",
       "301          340   350480010          eBook: War and Peace     8039424   \n",
       "330          371   355709084        Jourist Weltübersetzer   147066880   \n",
       "441          503   377321278                       恵方コンパス.    41207059   \n",
       "452          517   379256460                「宅建士」過去問題《受験用》    24444928   \n",
       "...          ...         ...                           ...         ...   \n",
       "7181       11038  1185428381                          剑倚手游   178160640   \n",
       "7182       11040  1185538497             camera for filter     9362432   \n",
       "7184       11042  1185731859               剑客情缘-高爆率高掉落天天疯玩   171944960   \n",
       "7185       11043  1185777521                问仙奇遇-新玩法新套装嗨到爆   208026624   \n",
       "7189       11074  1187128255    飞刀传奇-动作武侠热血江湖即时PK传奇（登录爆金装）   537462784   \n",
       "\n",
       "     currency  price  rating_count_tot  rating_count_ver  user_rating_ver  \\\n",
       "199       USD   3.99                 0                 0              0.0   \n",
       "301       USD   3.99                 0                 0              0.0   \n",
       "330       USD   7.99                 0                 0              0.0   \n",
       "441       USD   0.00                 0                 0              0.0   \n",
       "452       USD   3.99                 0                 0              0.0   \n",
       "...       ...    ...               ...               ...              ...   \n",
       "7181      USD   0.99                 0                 0              0.0   \n",
       "7182      USD   0.00                 0                 0              0.0   \n",
       "7184      USD   0.00                 0                 0              0.0   \n",
       "7185      USD   0.99                 0                 0              0.0   \n",
       "7189      USD   0.99                 0                 0              0.0   \n",
       "\n",
       "        ver cont_rating    prime_genre  sup_devices.num  ipadSc_urls.num  \\\n",
       "199   5.1.0          4+        Finance               37                5   \n",
       "301     7.1          9+           Book               37                5   \n",
       "330     2.8          4+         Travel               40                5   \n",
       "441   2.1.0          4+     Navigation               39                5   \n",
       "452     5.1          4+      Education               37                0   \n",
       "...     ...         ...            ...              ...              ...   \n",
       "7181    1.0          9+          Games               40                5   \n",
       "7182  1.0.3          4+  Photo & Video               37                0   \n",
       "7184    1.0          9+          Games               40                5   \n",
       "7185    1.0          9+          Games               38                5   \n",
       "7189  2.1.0          9+          Games               38                5   \n",
       "\n",
       "      lang.num  vpp_lic  user_rating  \n",
       "199          3        1          0.0  \n",
       "301          1        1          0.0  \n",
       "330          1        1          0.0  \n",
       "441          1        1          0.0  \n",
       "452          1        1          0.0  \n",
       "...        ...      ...          ...  \n",
       "7181         0        1          0.0  \n",
       "7182         1        1          0.0  \n",
       "7184         0        1          0.0  \n",
       "7185         1        1          0.0  \n",
       "7189         1        1          0.0  \n",
       "\n",
       "[929 rows x 17 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df[\"rating_count_tot\"] == 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "331fe4b1",
   "metadata": {
    "papermill": {
     "duration": 0.01021,
     "end_time": "2024-06-11T23:21:01.739107",
     "exception": false,
     "start_time": "2024-06-11T23:21:01.728897",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "So...if an app doesn't have *any reviews,* then `user_rating` is always 0.0\n",
    "Which, of course makes sense! This is not a surprise. However, what we do need to note is that if we're planning to build a model that predicts a given app's `user_rating`, (which we *are*) these **rows** should be treated as **outliers.**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d352ab69",
   "metadata": {
    "papermill": {
     "duration": 0.010816,
     "end_time": "2024-06-11T23:21:01.760364",
     "exception": false,
     "start_time": "2024-06-11T23:21:01.749548",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Let's see how different categories of apps perform on the market"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e6ab5226",
   "metadata": {
    "execution": {
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     "start_time": "2024-06-11T23:21:01.768039",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "categories = df.groupby(\"prime_genre\")[\"user_rating\"].mean().sort_values()\n",
    "\n",
    "plt.barh(categories.index, categories.values)\n",
    "plt.title(\"Application Genres\")\n",
    "plt.xlabel(\"Ratings\")\n",
    "plt.ylabel(\"Genre\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dc38c2a",
   "metadata": {
    "papermill": {
     "duration": 0.008044,
     "end_time": "2024-06-11T23:21:02.301893",
     "exception": false,
     "start_time": "2024-06-11T23:21:02.293849",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Correlation Matrix\n",
    "For correlation matrix we'll have to get rid of the *App names* and any other `str` values that we do not need.\n",
    "However, we should keep the **genres** column, because I am intrigued to see if it correlates with the `rating` column. For that we have to encode the column and make it an `int` column.\n",
    "For that we'll use the `LabelEncoder`, provided by `sklearn`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "70a6910f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-06-11T23:21:02.321059Z",
     "iopub.status.busy": "2024-06-11T23:21:02.319962Z",
     "iopub.status.idle": "2024-06-11T23:21:03.239976Z",
     "shell.execute_reply": "2024-06-11T23:21:03.238625Z"
    },
    "papermill": {
     "duration": 0.934072,
     "end_time": "2024-06-11T23:21:03.244259",
     "exception": false,
     "start_time": "2024-06-11T23:21:02.310187",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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CCCGEi82dO5d7773XaZrRaGylbFxDKo9CCCGEEEII4WJGo7FFK4uhoaHk5uY6TcvNzcXb27tFWh1BKo9CCCGEEEKIC5iiV1o7hRYxcOBAfvrpJ6dpq1atYuDAgS32nTJgjhBCCCGEEEK0soqKCnbv3s3u3bsB26M4du/eTVpaGmDrBnvDDTfY42+99VaSk5N54IEHSExM5I033uDLL7/kX//6V4vlKC2PQgghhBBCiAuWRnd+tDxu376dkSNH2t+fuF/yxhtvZPHixWRnZ9srkgDR0dEsW7aMf/3rXyxcuJC2bdvy3nvvMW7cuBbLUSqPQgghhBBCCNHKRowYgao2PuL04sWLG5xn165dLZiVM6k8CiGEEEIIIS5Yil7u1HMVKUkhhBBCCCGEEE2SyqMQQgghhBBCiCZJt1UhhBBCCCHEBet8GTDnfCAtj0IIIYQQQgghmiQtj0IIIYQQQogLlqKXlkdXkZZHIYQQQgghhBBNksqjEEIIIYQQQogmSbdVIYQQQgghxAVLBsxxHWl5FEIIIYQQQgjRJKk8irPy2GOP0aNHj9ZOQwghhBBCiD9F0Sut8roQSbfVP2HEiBH06NGDBQsWOE1fvHgx99xzDyUlJa2S19/ZkiVLmDdvHqmpqbRv357nnnuOiRMntsh3+Q/pQ8ycmfj06oKpTTDbL/8nuT+sPvM8w/qR8OJDeCa0pyY9m2PPvknGR986xUTeNo2Ye2diDA2ibG8iB+55ktJt+1rkNwRechkhV12L3t+f6qQk0l99marDhxoO1moJnXY9AWMnoA8MpCY9nax336Rs2xZ7iGfX7oRcPQ239vEYAgNJ+s9cSjf83iK5A/SL1zC4ixZPN8gtUlm21UJmgdpofOdIhVE9dfh6QlGZys87LBzNbDh+ygAtfeO1LN9qZtMha0v9BC4f7cXIvu64mzQcOV7Hoh9KyC20nHGeMf3dmTTUEx9PLWk59Xz0YynJGfUABPpqWXB/SIPzvfJZEVv317gs9xuvaMPEUYF4eug4cLiChR8cJzOnttH4rh09uWpyKO1j3An0M/Cfl46xcXuJU8wvn/VpcN53Pknnyx9zXZY7wKWjPBnR2w13k4ajaXV8uLSM3KIzl/3ofu5MGOyBj6eG9Nx6/resnOTMeqeY2Ag9V4z2JLatHqsV0nLMvPBREfVml6bPtMkBXDTEFw83DYnJ1bz5aS7Z+fWNxifEuXHpRf7EtTPh76vjmbcy2bKnwinmmkkBDO3jRaCfHrNFJSmthv99X8CRVNetNwMStAzvpsPTDbKLVH7YWE9GfuPbbddoDRf10eHnqVBYprJ8q5nD6bZtUqPA2L46OkZo8PdSqKmDY1lWlm+tp7zKZSk7GdhZy/AeOrzcFLILVb7fUEd63hnyj9Ewrq8ePy+FglKV5VvqSUxz7FO6RGsYkKAjPEiDh0nh5SU1ZBc2vjxXuP7SEMYP98fDXcvBo5W89lEmWbl1jcZ36eDBFRODiIt0I8BPzxOvpLJpZ5lTzL2z2nLREH+nadv3lTPvpRSX5T24q55RPfV4uStkFVj55rda0vIa3z93j9UyYYARfy+F/FIrP26s49Bx5218fD8DAzvrMBkVUrMtLFlXS0Fpy5X/zOuimDI2FC8PHfsOlfHiG0fJyK5uNP4fV0QwfFAgkeHu1NZZ2ZdYxpuLk0nPdMxj0CvcMTOW0UOD0es1bN1VxEtvHqW4pPH9wbk63/f74vwjLY+ixWzcuJFrr72WmTNnsmvXLqZOncrUqVPZv39/i3yf1sOdsr2H2X/X42cV7xbVlr4/vE3hui2s73MJKa9+SNe3nyLwoiH2mLArJ9Dphbkcfep11ve7lPK9ifRf9j6GIP8zLPnc+I0YRdtb7yD7o0Uk3jqT6qRjxD03H52vb4PxbW66hcDJl5D+6sscvOl6CpZ+R8zjz+AW194eo3FzoyrpGOmvzHd5vqfqEqVhfF8t6/ZYeGtpPTnFKjeM0eFhajg+IkjhimE6dh618ObSeg6lqVw7Ukew7+lX6jq1U2gbpFBW1bIncJOHejJ2oAcffF/Ko2/mU1tv5cHpAejPcJmtf1cT10304ds15Tzyej5pOfU8OD0Abw/b7rWw1MLtz+Y4vb76pYzqWit7jjR+gP+zrp4SyqXjg1n4fhp3zDtETa2F/z7UAf0ZrnyajBqS06p49YO0RmOuvHW30+uFt1KwWlV+31rsstwBJg7x4KL+7ixeWsYT7xRSW6dy3w1+Zyz7fl1MXDvei+/XVfDoWwWk55i57wY/vDwch7bYCD33Xe/H/qQ6Hn+7iMfeLuSXLVWoLl6VLhvrz6SRfrz5aS73P59GTa2Vx+5qi/4M99mYjBpSM2t5+/PGT8ay8up454s87noqlYdeTCOvsJ7H7mqLt6fWJXl3i9EweYCOX3aaefXbOrILrcycYGh0u20XrHDNKD3bD1t45ds6DqRauf4iPSF+tt+p10F4gMLqXWZe+baOj3+pI9BH4caxBpfke6rusVqmDNLzy3YzC7+uteU/ydho/pEhGqaNMbAt0cLCr2o5kGrhhnEGe/4ABp1Cao6V5Ztdf6LfkCsnBnHxRYG8+mEm9zxxjJpaK0/NiT6LbbeaNz7OPOOyt+0tY9rdB+2v595sfFv/s3rE6Zg6xMDKbXW89EUVWYVWZl/shqdbw3lHhWq4fpyJLQfrefGLKvYnW7hpoolQf8f2OqqXnmHd9SxZV8uCJdXU1sOtF7uhc83qfprrLo/gisnhvPjGUW65bxfVNRbmP9EVwxnKvmcXX75ZlsXs+3fxr3l70WkVXn6iGyaj43fcOSuOwf0CmPfcQe6cu5tAfyNPz+3s8vzP9/3+X0mjU1rldSGSymMLmD59OlOnTuXFF18kLCyMgIAAbr/9durrHQeiqKgonnnmGW666Sa8vLxo164d77zzjtNyHnzwQTp06IC7uzsxMTHMmzfPaRknupJ+8MEHtGvXDk9PT/75z39isVh4/vnnCQ0NJTg4mKefftppuSUlJcyaNYugoCC8vb0ZNWoUe/bscYr573//S0hICF5eXsycOZOamj9/lXvhwoWMHz+e+++/n06dOvHkk0/Sq1cvXnvttT+9rLORv/I3jjy6gNzvfzmr+MhbrqE6JYNDDzxHRWIyx9/4hJyvVxJ993R7TPQ9M0h//0syPvyGikNJ7Pvno1iqaoiYfrnL8w++4hoKflpK0cqfqDmeStqCF7DW1hAwfnKD8f5jxpHz6ceUbd1MXXYWBUu/o3TLJkKuvMYeU7Z1M9mL3qV0w28uz/dUgxI07DhqZdcxK/mlsHSThXoL9IpreDczoJOGY5kqGw5YKSiFNbstZBep9O/oHO/lDhP76fjqdwuWlmtwBGD8YA++X1fOzkM1pOeaeWtJCb5eWnp3auRMFJgw2JO126v4bWc1WflmFn1fSm29yvDe7gCoKpRWWJ1efRLc2LKvmto619VgLpsQzCffZrNxRwkpadU890YqAX56BvfxbXSebXvKWPRlFhtOuep8suJSs9NrUG9fdh8sJzuv8VaRczFuoDtLf6tgV2It6blm3vmmFF8vLb06Nl724we58+uOKn7fVU1WvoXFS8uoq1cZ1svNHjNtvBerNlex7PdKMvPN5BRa2HqgBvOZGzT/tCmj/FiyvJCteys4nlnLgsU5+PvoGNDDs9F5dh6o5JMfCth8SmvjyX7bVs6exCpyC+pJz67j/a/y8XDTEhVudEneQ7rq2JpoYccRC3klKt+tN1Nnhj7xDZ+tD+6i40iGld/2WsgvUVm1w0xWgcrAzrb42np4f3k9+5KtFJSqpOep/LChnrZBGnw8XJKyk6HddGw5ZGH7YQt5xSrf/FZPvRn6dmz4qsOQrlqOpFv5dY+ZvBKVn7eZySxQGdzFEb/zqIVfdpg5mtnCO5w/TB0byOc/5LJ5VxmpGTW8+G46AX56BvXybnSe7fvK+eibXDae0tp4qnqz6rT9VlS5bsUf0UPPpgP1bD1kJrdYZcnaWurMKv07NVz2w7rrSUyzsHZXPXnFKsu31JGRb2VoN709Znh3PT9vr2N/ioXsQiuf/lKDt4dC15iW6Sh35cXhfPTlcdZvKSQptZKnXk4kwN/I0AGBjc4z57F9LF+dS0paFcdSK3lmwWFCg03Ex3kB4OGuZfJFobz6XhI795ZwOKmCZxYm0i3Bh87xXi7N/3zf74vzk1QeW8jatWtJSkpi7dq1fPjhhyxevJjFixc7xbz00kv06dOHXbt28c9//pPbbruNw4cP2z/38vJi8eLFHDx4kIULF/Luu+/y8ssvOy0jKSmJ5cuXs2LFCj777DPef/99Jk2aREZGBr/++ivPPfccjzzyCFu2OLoyXnnlleTl5bF8+XJ27NhBr169GD16NEVFRQB8+eWXPPbYYzzzzDNs376dsLAw3njjDafvXbduHYqikJqa2mgZbNq0iTFjxjhNGzduHJs2bfozRdlifAf0oGCNcy75q9bjN6AHAIpej0+vzhSs3ugIUFUK1mzEd0BPl+ai6HS4d+hA+c7tTt9VvnM7HgkNX63UGPSodc4tV2pdLR5durk0t7Oh1UBYgEJSluNkSwWSsqy0DWp4NxMRpCE52/nk7FimSkSQ40qdAlw+RMeGA7YT1ZYU5KfF10vL/iRHmVbXqiRl1NG+XcOtJlotRLfRc+CYYx5VhQPHaolrp29wnqg2eqLa6Pl1h+v68IUFGwjwM7Bzv+NEsrLawqGkShLaN155+bN8fXT07+nDirUFLlsmOMr+QJLjxKS6ViU5s564iIbLUauFqDC90zyqCgeS6ohra5vHy0NDXISBskorj8zy55UHgph7kz/tG/nfnKuQQD3+Pjr2JDr+p1U1Vo6k1BAf7XaGOf8cnRbGDfGhospCSkbzW621GggPVDiW6bzdHsu0Ehnc8HYbGaJxigc4ktF4PIDJoGBVVWpcfN6p1UB4kMKxDEeFSAWOZliIDGk4n3YhGo5mOFegjqRbaNdIfEsLDTLg76tn10HHBYSqaiuHk6roGNv82na3jp589koC7z4bzx03hOPl4ZomPK0G2gZrOJLeQNmHNvwdUaFap3iAw2kWIkNtZR/greDt4bzMmjo4nmslKtT1/582ISYC/Y1s2+1oTaussnDwSBldOjZecT+Vxx9lWlZuu7gfH+eFXq9h+x7HctMyqsnJq6Hzn1huU873/b44f8k9jy3Ez8+P1157Da1WS8eOHZk0aRKrV6/m5ptvtsdMnDiRf/7zn4CtlfHll19m7dq1xMfHA/DII4/YY6Oiorjvvvv4/PPPeeCBB+zTrVYrH3zwAV5eXiQkJDBy5EgOHz7MTz/9hEajIT4+nueee461a9fSv39/1q9fz9atW8nLy8NotF25fvHFF/nuu+/46quvuOWWW1iwYAEzZ85k5syZADz11FP88ssvTq2P7u7uxMfHo9c3fhKWk5NDSIjzvV4hISHk5OSca7G6lDEkkNpc551hbW4Beh8vNCYjej8fNDodtXmFp8QU4hEf49JcdD4+KFod5uIip+nm4iJMEZENzlO2bSvBV1xDxd491GZl4tWrN75DhoPmrz8JcjeCVqNQeUoDdWUNBPk0PI+nG1ScEl9Ro+Lp5sh/SBcNVhU2t+A9jif4etm+t6zC+bvKKqz4NNJF0Mtdg1arUFrhfEJUWmElLKjhCueIPu5k5tVzNM11XeL8fGzbYXGp8018JaX1+Pu6rqI0dlggVTVWft/m2q5LPp62si89rewt9s9OZS/7Sud5Sist9rIP9rP93y4d6cnnK8s5nl3PkB5uPDjdn4dfK2jyfsqz5edt+56SslPKv9xs/6w5+nTx4L6ZbTAaFIrLzDz6Sgbllc3P3d1k224rqp0vzFRUqwT5Nlzunm40GN9YV0WdFsb307EnyUqti3uBevyRf/kpt6dVVKsEN5K/l7tCRQPxXu6t073Mz8d2GnbqtltcZrZ/dq527Ctnw/YycgvqCAs2MP3yUJ6cE829Tx7D2sxrcR5uyh9l77yg8qozl3151anxVrzddfbPASpOiamosrbI/8ffz7afOPU+xOKSOvtnTVEUuOvmOPYeLCUlzXbxKMDPQF29lYpTttGikjoCfF3Xfft83+//1RTthdmFtDVI5bGFdO7cGa3WcdIQFhbGvn3Og6x06+ZoIVIUhdDQUPLy8uzTvvjiC1555RWSkpKoqKjAbDbj7e181SoqKgovL0c3iJCQELRaLZqTKhAhISH25e7Zs4eKigoCAgKcllNdXU1SUhIAhw4d4tZbb3X6fODAgaxdu9b+vl+/fiQmJp5dYfwJtbW11NY6X1GvV63oFWkkP1XG6wtpN+cBEhZ9AqjUZmVRuPInAsZPau3UXCLMX2FAgpa3lrbMfUeDurtx0yWOmu2LHxWdIdo19DoY2M2N79aWN2s5owb7869ZjosKDz9/tLmpnZXxwwNYs6GQ+vrmnXkO7GZi+hTHvmz+Jy1zUqL8ca6wdrutayvApyvKSYgxMKyXG0t+aby76JkM7+vFbdNC7e+ffCOj2bmeyb4jVdzzTCrenlrGDvbhgVlh3P98GqXlLu5762IaBaaN1qMo8N36v+b+wb+7kQN9ufPGcPv7R19ObbHv+nVLqf3v1IwaUtJrWPRCR7p19GT3oXNb989nFw0P5v7bO9jfP/BE8we+u/fW9sS08+CfD+5q9rKacr7v98WFQyqPf4K3tzelpaWnTS8pKcHHx7l55dQWOUVRsFqtZx2zadMmrrvuOh5//HHGjRuHj48Pn3/+OS+99FKTyzjTcisqKggLC2PdunWn/Q7fRgZmOVehoaHk5joPBJGbm0toaGgjc8Czzz7L4487D3hzreLPddrG7z84V7W5BRhDnJdrDAmkvrQca00tdQXFWM1mjMEBp8QEUJvj2u4b5tJSVIsZnZ/zQDw6P3/qiwobmaeE5P/8G0VvQOfjTX1BAW1uvo3a7CyX5nY2qmrBYlVPG6TCw8RprQInVFSD5ynxniZHK0hUiIKHCe69wrE+azUK4/poGZCg5eWvm3cyuvNQDUnpjn50uj9ubPf21FBS7thWvT01pGU3/F3lVVYsFvWPlklHjI+n5rTWSIB+Xdww6hXW72p8JL+zsWlHCYnHKu3vTwyO4Oejo+ikq+i+PnqSUl3TPbZLvCftwt146pXkZi9rV2ItSRmO9Vr/xxVhW7mdXPbapsvew/nCko+HltI//n8n/o9Zec5X5rPyzfj7nHuL4Na9FRw+qcv+iUFxfL11FJc5/u++XjqXdC+trVPJya8nJ7+eIyk1vPl4NGMG+fD1yuZd8KiqsW23tlZDx4mhp5tyWuvPCRXVnNbK6Ol2euulRoHrxujx81R4d1mdy1sdwdazwWJV8TqlZ7Cn2+ktXCeUV6l4/ol4V9u8q4zEJMc2eWLd8fPRObUg+XnrSEpz3Yi6ADn5dZSWmQkLMbC7kUG8z1ZltfpH2TuvC17ujQ9sVl51eguvl7vGHn/if+B5yjI83TVkFTT/Qsn6rYUcPOK4NcSgt+07/Hz1FBY7jgV+vgaOJTdduf7X7DgG9fXnjrl7yC90zF9YXIdBr8HTQ+vU+ujva6Cw5Nz7bp/v+/3WppGWR5eR5pw/IT4+np07d542fefOnXTo0KGBOc7dxo0biYyM5OGHH6ZPnz60b9+e48ePN3u5vXr1IicnB51OR1xcnNMrMNBWkerUqZPTPZIAmzdv/tPfNXDgQFavdn5UxqpVqxg4cGCj88ydO5fS0lKn11Ua149sClCyeTcBowY4TQscPYjizbsBUOvrKd15gMBRJ+WrKASMHEjJZtdeZVTNZqqOHMGrZ2+n7/Lq2ZvKgwfOPG99HfUFBaDV4jt0OKUbW+5RHI2xWCG7UCUmzLFLUYCYMA0Z+Q13OU3PtzrFA8S2UUj/4xEBu5OtvPGDmTeXOl5lVbYBdj5a1fwz0Zo6ldwii/2VmWempNxC5xjHQCRuRoXYtgaOpjV8wLdYICWrns6xjq5IigKdY40ca6Bb6oje7uxMrKG8qnndcKtrrGTl1tpfxzNqKCyuo2cXR2ueu5uGTrEeHDzqmhaGCSMDOZxcSXJa8yq+YCv7vCKL/ZWZbyv7hBhHOZqMCjHheo6lN/y/tlggNbveaR5FgYQYA8f+eExKQYmF4jILoYHO10lDA3UUlp77yWh1raMyl5NvG8imqNRMt3h3e4ybSUOHaBOHU5pfXqdSFM44iuvZslghs0AlLtx5u41ro+F4I49bOJ5rJa6N83bbvq1z/ImKY4C3wns/1VHlukGFnViskJmvEhfuuBCgAHHhWo7nNpx/Wq7VKR5s+ac1Eu9q1TVWsvPq7K+0rFqKSurpkeC4R83dpCE+1p3EpMozLOnPC/TT4+Wppaik+c+osVghI89Khwjnsm/fVsvxnIa3rdQcCx3aOpd9hwgtx3NsZV9YplJWaXWKMept99mm5jT//1NdbSEzu8b+SkmroqColj7d/ewx7m5aEjp4sz/xzAMR/Wt2HMMGBnL3w3vJznWu5B8+Vk59vZXeJy03ItyN0GATB5pY7hnzP8/3++LCIZXHP+G2227jyJEj3HXXXezdu5fDhw8zf/58PvvsM+bMmePS72rfvj1paWl8/vnnJCUl8corr/Dtt982PWMTxowZw8CBA5k6dSo///wzqampbNy4kYcffpjt221X5O6++24++OADFi1axJEjR3j00Uc5cMC5ArN161Y6duxIZmbjw4TffffdrFixgpdeeonExEQee+wxtm/fzh133NHoPEajEW9vb6fX2XZZ1Xq44929I97dOwLgHt0W7+4dMUWEARD/1L10X/ScPf74O5/jHh1Bx2fvxyM+hshbpxF25QRSFi62x6QsWETEzKsIv34qnh1j6PL6Y+g83Ej/8JuzyunPyPvqcwInTcF/7HhM7SKJuOc+NCY3ClcuAyDywUdoM3O2Pd69YwK+Q4ZhCGuDR9duxP33JRRFQ+7nn9pjNCY33GLjcIuNA8AYGoZbbBz64IafO9gcGw9a6d1BQ49YDYE+MHmAFoMOdh6zHfQvG6JlTC/HScHmQ1biwhUGJWgI9IaR3bW0CVDYkmiLr66FvBLV6WWx2u5PKjz34+8ZrdhQydSRXvTqaKRtiI7ZV/hSUm5hxyHHycHcmwK4aICjkrB8QwUj+ngwtKcbbYJ0zLjYB6NBOW1AnBB/LfFRBtZtb5mH3X2zPI/rpoYxsLcP0RFuPHhbNIXF9U4j6j3/cAcuGRtkf28yaoiNdCM20tYUExZkJDbSjeAA5/ty3N00DOvvx/IWHDBh5aYqLh7uSc94I22DddxymQ8l5RZ2JjrK/oHpfozp5yj7FRurGN7bncE9TIQFarlxsjdGg8LvOx0nOj9tqOSiAe70STAS7K/lslGehAXq+G2Ha0+Glq4p5qqJAfTr5kFkGwP33BhKUamZzbsdJ3FP3N2WicN97e9NRoXotkai29ouWIQE6IluayTQz1bZNRoU/nFJIB2iTQT564htZ+TO60MJ8NWxYWfzuj6fsH6fmb7xWnq11xDkqzB1iA6DHnYcsVUArhqhZ1xfR+V7w34zHSI0DO2qJchHYUwvHeGBCpsO2OI1CvxjjJ7wQA1frK1HUWz3SXq62QZZcbXf95rp10lL7w5agn0VLh2mx6CH7YdtFaSrR+oZ38+R//p9FuIjNAzrpiPIV+GiPjraBmnYsN9RoXIz2gYAO/H4jmBfDWEBymktlq7y3c8FXDMlmP49vIlqa2LOLREUFtc7jaT67APRTBnt6AVjMmqIaWcipp2t+0ZIoIGYdiaC/PX2z2deHUbHWHeCA/X06OTJf+6OJCuvjp37XbPurNtdz4AEPX076gj2U7hihBGDTmHLIVtZThtjZNJAx77ktz31dGynZUQPPcG+CuP6GYgI1vD7XscFol/31HNRHwOdo7SEBWi47iITZZUq+5Jd/FDWPyz5IZMbr27H4H4BxER68Mi9HSksquX3zY593YKnunHZpDb293Nui2PsiBAef/EQVdVm/H31+PvqMRhsK3hllYUfV+Vw58xYenb1JT7Wk3/fHc++Q6UcOOyasj/hfN/vi/OTdFv9E2JiYvjtt994+OGHGTNmDHV1dXTs2JElS5Ywfvx4l37XxRdfzL/+9S/uuOMOamtrmTRpEvPmzeOxxx5r1nIVReGnn37i4YcfZsaMGeTn5xMaGsqwYcPsg9tcffXVJCUl8cADD1BTU8Pll1/ObbfdxsqVK+3Lqaqq4vDhw06PDjnVoEGD+PTTT3nkkUf497//Tfv27fnuu+/o0qVLs35DY3x6d2Hg6o/t7xNe/DcA6R99w96ZczGGBeH2R0USoDo1g20XzybhpblE3XkDNRk57Jv9CAWr1ttjspcsxxDkT4dH78IYGkTZnkNsnTyLuryGu5I2R/G6Neh8fAmbPgu9nz/VScc49tAczMW2+8EMwSGgnnR132Ag7KabMYa1wVpdTemWzRz/75NYKh0nq+7xHekw/1X7+7b/vAuAwpU/cfz5Z1ya//5UK+4mGNVDi6eblpwilY9/MdsH0fHxUFBPerheer7KV7+ZGd1Tx5heWgrLVD5baxs+v7X8+HsFRoPCTVN9cTdpOHK8jucXFzo9TD7YX4uXu6MSvGVfDd4epVw+2gsfLy3Hs+t5fnEhZacM5DK8tztFZRb2HWuZZpgvluZgMmr416woPN217D9cwUP/PeJ0n0qbECM+Xo5uwPExHrz0n3j7+9tuiABg5a8FvPBWqn36yIH+KAqs3dBy94X+tL4So0Fh+sXeuJs0HE2r48WPi53L3k+Hp4djn7N1fw3e7houG+WFj6eGtJx6Xvy42Knsf95UhV6nMG2CN55uCmk5Zp7/sIi8YtfeL/jNz0WYDAr/nBaKh7uGQ0nVPP5qBvVmR/mHBhmcns8Y187E0/e2s7+feWUwAKs3lfLKRzlYrdA2xMCoW9rg7aGlvNLK0ePVzH0pnfRs1wxdujfZiofJzEW99Xi5Q1ahygfL6+yDyvh6KE7PxEzLU/l8TT1j++gY11dHQanKx6vqyS22Bfl4KCRE2X7j3Zc7P07knR/rThthubn2JFnwMMHYvro/HlSv8v6yWkf+Xgon71GO51r5dHUd4/vpGd/flv9HK+vs+QMkRGm5eqTjRPq6i2x/r9pez6rtrq/ELPkpH5NRw10zwvF013LgSCXzXkpx2nbDgo14ezlO2dpHu/H8Q7H297On2So3q9YXMf+9DKxWlei2JsYM9sPDXUNRiZmd+22P9zh5nWyO3cfMeLopjO9nwNtDITPfyttLq+1dmP28NKgnHbNSc6x8/HMNEwfYKpX5JVY++KmGnCJHzJqd9Rh0CleNNOJmVEjJtvD20mqXP1rnhE++Tsdk0vLAHR3w9NCx72Apcx7dR91JZR8e6oavt2O/eelE2z2rrz3bw2lZTy9IZPlq2606r753DFWN5em5Cej1GrbuLOKlN11/j+L5vt//Kyka6bbqKoqquvpRyUK41jJ9fNNBf2Nhw4KaDvqb+u6GNa2dQrMkHzm/r5jmJP/196+6Snj7tq2dQrOU5J9+f/v5pFOvhkdpPh9YLef3acm+zX/NQCYtpWMf144m/lfatnJHa6fQLCbPFngY6l/ol8/6tHYKjdpw8m1Bf6HBu87vdbIh0vIohBBCCCGEuGApLdFv/v8pKUkhhBBCCCGEEE2SlkchhBBCCCHEBUse1eE60vIohBBCCCGEEKJJUnkUQgghhBBCCNEk6bYqhBBCCCGEuGDJozpcR1oehRBCCCGEEEI0SVoehRBCCCGEEBcsGTDHdaTlUQghhBBCCCFEk6TyKIQQQgghhBCiSdJtVQghhBBCCHHBUqTbqstIy6MQQgghhBBCiCZJy6MQQgghhBDigqVopL3MVaQkhRBCCCGEEEI0SVoehRBCCCGEEBcsRSP3PLqKtDwKIYQQQgghhGiSVB6FEEIIIYQQQjRJuq0KIYQQQgghLlgaeVSHy0jLoxBCCCGEEEKIJknLo/jbCxsW1NopNEv2b/mtncI5c5utbe0U/l+rqahs7RTOmaqqrZ1Cs+gN+tZOoVm05/FVdje383u/Y3AztnYKzWIwnL/lrzMaWjuFZqmvrWvtFC5YMmCO60jLoxBCCCGEEEKIJknlUQghhBBCCCFEk6TbqhBCCCGEEOKCpWikvcxVpCSFEEIIIYQQQjRJWh6FEEIIIYQQFywZMMd1pOVRCCGEEEIIIUSTpOVRCCGEEEIIccHSnMePL/q7kZZHIYQQQgghhBBNksqjEEIIIYQQQogmSbdVIYQQQgghxAVLBsxxHWl5FEIIIYQQQgjRJGl5FEIIIYQQQlywFI20l7mKlKQQQgghhBBCiCZJ5VEIIYQQQgghRJOk26oQQgghhBDigiUD5riOtDwKlxoxYgT33HNPo59HRUWxYMGCvywfIYQQQgghhGtIy6NwqW+++Qa9Xt9q3x94yWWEXHUten9/qpOSSH/1ZaoOH2o4WKsldNr1BIydgD4wkJr0dLLefZOybVvsIZ5duxNy9TTc2sdjCAwk6T9zKd3we4vk7j+kDzFzZuLTqwumNsFsv/yf5P6w+szzDOtHwosP4ZnQnpr0bI49+yYZH33rFBN52zRi7p2JMTSIsr2JHLjnSUq37WuR39ArTqF/vIKnCfJK4OddVrKLGo/v2BaGddHg4wFF5bBur5WkHMfneh2M7KrQPlzBzQCllbD9mMquJLVF8ge4fLQXI/u6427ScOR4HYt+KCG30HLGecb0d2fSUE98PLWk5dTz0Y+lJGfU2z/38dRw7XhvusQZMRkVcgrMfL+ugm0Halya+8zropgyNhQvDx37DpXx4htHyciubjT+H1dEMHxQIJHh7tTWWdmXWMabi5NJz3TMY9Ar3DEzltFDg9HrNWzdVcRLbx6luKS+0eWeq8tGeTKij63sj6bVsfiHUnKLzlz2o/u5M3GIBz6eWtJz6vl4WRnJmbbcAn21zJ8T3OB8r35e7PLyv3qCH2MGeuHupuFwSg3vLCkgJ9/caHynWBOXjPIhJsKIv4+O597LYdu+KqeY/t3cGTvYm5gII14eWu57PoPUzDqX5t2/k4ahXXR4ukFOscqPm8xkFDS+jXWJ0jCmlxZfT4XCMpWV2y0cybDaPx/VU0u3aA0+HgoWK2QWqqzaYSYjv2W2274dNAxK0NjzX77NSlZh49+V0E5hZHctvp5QWAa/7LJwLMsRf8lALT1ina+tH8uy8smaM6+LzTFtcgAXDfHFw01DYnI1b36aS3Z+49tYQpwbl17kT1w7E/6+Op55K5MteyqcYq6ZFMDQPl4E+ukxW1SS0mr43/cFHEl13Xo/MEHLsO46vNwUsotUvt9Qd8b/c9doDWP76vHzVCgoU1m+pZ7D6bZ1R6PAuL464ttpCfBSqKmDo5kWlm+tp7yq0UU224yrI5g8JhhPdx37D5cx/50UMnMaL6Nunby45pI2dIjxJNDfwCPPJbJ+W7FTjJ+Pntn/aEef7r54emjZe7Cche+febnn6qZrIph8UQie7lr2JZYz/51kMrPPkH+CN9de0oYOsbb8H/5vIuu3Oh+o/Xz0zL4+kr49bPnvOVjGwvdSzrjcvztpeXQdaXkULuXv74+Xl1erfLffiFG0vfUOsj9aROKtM6lOOkbcc/PR+fo2GN/mplsInHwJ6a++zMGbrqdg6XfEPP4MbnHt7TEaNzeqko6R/sr8Fs9f6+FO2d7D7L/r8bOKd4tqS98f3qZw3RbW97mElFc/pOvbTxF40RB7TNiVE+j0wlyOPvU66/tdSvneRPovex9DkL/L8+8UoTC6u8L6AyofrLKSW6Jy9TAN7saG48MD4JIBGvakqHzws5WjWSqXD9YQ6O2IGd1dISZUYekWK++usLLtqMrYngpxbVyePgCTh3oydqAHH3xfyqNv5lNbb+XB6QHoz3CZrX9XE9dN9OHbNeU88no+aTn1PDg9AG8Px+711it8CQvSMf9/Rcx9JZ9tB2q48xo/IsNcd/3uussjuGJyOC++cZRb7ttFdY2F+U90xaBv/IDZs4sv3yzLYvb9u/jXvL3otAovP9ENk9GR+52z4hjcL4B5zx3kzrm7CfQ38vTczi7L+4RJQz24aIAHi38o5fG3C6itU7n/Rv8zl30XE9MmePPd2gr+82YBaTlm7r/RH68/yr6w1MKdz+U6vb5eXU51rZW9R2tdmv/U0T5MHObNO18W8O+Xs6itU5l3axh6XePlbzIopGbW8d5XBY3GGA0aDiXX8L8fznAVphm6RmuY2E/Hmt1mXv+hnpwilenj9HiYGo5vF6xw1Qgd249Yef37eg6lWblutI5gX8fvLChVWbrZzCvf1fHOsnpKylVmjNPj3sgym6NzpMLY3hp+3Wvh7Z/M5BbDP0ZpG93vtA1UuHyIll1JVt5eZuZwhpVrhmsJ8nGOO5pp5cWv6u2vr9e3XMXxsrH+TBrpx5uf5nL/82nU1Fp57K62Z153jBpSM2t5+/PcRmOy8up454s87noqlYdeTCOvsJ7H7mqLt6fWJXl3i9EyeaCe1TvMvPJNLdmFVmZONDa67kSGaLh2tIFtiRZe+aaWg6kWbhhrIMTP9jsNOggP1LBmp5mF39Ty8apagnw1TB/XyD/TBa6d2obLJ4Yy/51kbvv3Pqprrbwwr9MZ95smk5ak1CoWvJfSaMxTD8QTFmLi4ecSufn+veTk1/LSowlO+1aX5H9pOJdNCuOlt5K49aF91NRaeXFewhnzdzNqOJZayYJ3kxuNefqhjrQJMfLwfxOZNWcPufm1zH+ss8vzF+cnWQuES53cbTUvL48pU6bg5uZGdHQ0n3zySYt+d/AV11Dw01KKVv5EzfFU0ha8gLW2hoDxkxuM9x8zjpxPP6Zs62bqsrMoWPodpVs2EXLlNfaYsq2byV70LqUbfmvR3AHyV/7GkUcXkPv9L2cVH3nLNVSnZHDogeeoSEzm+BufkPP1SqLvnm6Pib5nBunvf0nGh99QcSiJff98FEtVDRHTL3d5/v06KOxJVtmXqlJYBit2qJjN0C264YNYn/YKyTmw5bBKYTn8tl8lpwR6t3fEtw1U2HdcJS0fSqtgd7JKbgm08W+ZK4jjB3vw/bpydh6qIT3XzFtLSvD10tK7U+NnvRMGe7J2exW/7awmK9/Mou9Lqa1XGd7b3R7Tvp2BnzdVkpxRT36xhe/XVVBZoxIdbnBZ7ldeHM5HXx5n/ZZCklIreerlRAL8jQwdENjoPHMe28fy1bmkpFVxLLWSZxYcJjTYRHyc7QKQh7uWyReF8up7SezcW8LhpAqeWZhItwQfOse79iLRuIEe/PBrBTsTa0nPNfP217ay73WGsh8/yIN126v4fZet7Bcv/aPse7kBoKpQWmF1evVJMLF1fw21da5tBZs03Ievfy5h2/4qjmfV8er/8vDz0dKvq3uj8+w6VM3nPxWzdW/jzSq/ba/gq5Ul7D3SeAtycwzuomX7YSs7j1rJL1H5foOZejP07tBwBWNggpajGVbW77eQX6ryy04LWYUqAxMc8XuTrSRlqRSXQ16Jyk9bzZgMCqF+rt9uB3TSsPOYld3JKgWl8OMWC/UW6BnX8OlN/44ajmWpbDxopaAM1u6xkl2k0i/eOd5ihcoax6vGtY29TqaM8mPJ8kK27q3geGYtCxbn4O+jY0APz0bn2Xmgkk9+KGDzKa2NJ/ttWzl7EqvILagnPbuO97/Kx8NNS1S4aypjQ7vp2JpoYfsRC3klKt/+Xk+9GfrGN3zFZ3AXLUfSrfy210xeicrP281kFagM6myLr6mH936qY2+yhYJSlbQ8W0tm2yANvh4ts8+/YlIYH3+dwYZtxSQfr+LZV48R6GdgSL/GL7Bu3VXC+5+nn9Zad0LbMBOd4714+Z1kDidVkp5Vw8vvJmM0aBg9pPH98bm4cnIYH3/lyP+ZV44S4H/m/LfsKuH9z9L5fcuZ85//TjKJxypIz6ph/tt/5D/UtfmL85NUHkWLmT59Ounp6axdu5avvvqKN954g7y8vBb5LkWnw71DB8p3bndMVFXKd27HI6HhVhKNQY9a59z6oNbV4tGlW4vk6Gq+A3pQsGaT07T8VevxG9ADAEWvx6dXZwpWb3QEqCoFazbiO6CnS3PRaCDUD1JynU/IU/NUwgMaPuiHByiknhKfkuMcn1Gg0r6NgqetLkC7IPD3ssW5WpCfFl8vLfuTHOtEda1KUkYd7ds1XMnTaiG6jZ4DxxzzqCocOFZLXDtH9+2jaXUM6OqGh5uCosCArib0OjiU7JrWrzYhJgL9jWzb7eg6VVll4eCRMrp09D7DnM48PGwVgLJyW3e5+Dgv9HoN2/c4lpuWUU1OXg2d/8Rym3Ki7A+cUvbJGXXERTRe9lFt9BxIdi77g0m1jc4T1UZHZJieX3e4tg9ccIAOPx+dUwWvqkbl6PFaOkS3QHObi2g10CZA4ViWo8upiq2LZrughrfbdsEakrKct79jmVYighuO12qgb7yW6lqVnCLXbrcaje1CUnK283KTs1XaBjacT0SQQvIp+4+kbJW2Qc6nQ1EhCvddoeP2i3VM6qfBzXXXeZyEBOrx99GxJ9GxTlbVWDmSUkN8tJvLvkenhXFDfKiospCS0fz9jlYD4YEKRzMcLbIqcCzTQruQhk8tI0M0HMt0bsE9ktF4PNha562qSrWLL/YAhAUbCfAzsGNvqX1aZZWFg0crSOhw7hfH9Hrb76mrP2m7UqG+3krXjq676BYW8kf+e0rs0yqrLBw6Wt6si3uGE/nXNZS/6/b7fzVFo7TK60Ik9zyKFnHkyBGWL1/O1q1b6du3LwDvv/8+nTp1apHv0/n4oGh1mIudr6SZi4swRUQ2OE/Ztq0EX3ENFXv3UJuViVev3vgOGW47IzkPGEMCqc117u5Wm1uA3scLjcmI3s8HjU5HbV7hKTGFeMTHuDQXdwNoNApVp5yTVNZAQCPHME+T7fNT4z1POtdetUtlQh+4c4oWi1VFVWH5dpX0xnv5nTNfL9v/vazC6jS9rMKKTyPdvLzcNWi1CqUVzidEpRVWwoIcZ5uvfl7MHdf48fYjYZgtKnX1Kgs+KW7yfr6z5e9n+65T70MsLqmzf9YURYG7bo5j78FSUtJsJ7IBfgbq6q1UVDrnWVRSR4Cv686mfTxtZV96StmXVlrx9Wx4ezxR9qf+v0orrIQFNnxoG97Lncy8eo6lu/Z+TT8v2/pRUn7KelBuwdfLNV0EW4K7EbQahYpq5xPzimqVIN+Gy93TDSpqTo/3cnM+SYqP0HD1CB16HVRUwaKV9aftH1yRv0ajNLAfUQn0afikzbbfOSX/U/Y7x7KsHEqHkgoVP0+F0T20XDdK4f2VFlQX12H8vP9Yd8qc740tKTfbP2uOPl08uG9mG4wGheIyM4++kkF5ZfP3O+6mE+uO8/TyM647CuUNxJ+67pyg08KEfnr2HLNQ6/pbrPH3s13gKzp1v1lah7/vuY/dkJZZTU5+LTdf146X3k6mptbKlZPDCA40nvX++Gz4/7EPLio9db9f36zvOf5H/rf8I5IX30qy5T+lDcGBRgL8Wm9MC/H3IZVH0SIOHTqETqejd+/e9mkdO3bEt5H7D0+ora2lttb5DKPOasXQAhW6jNcX0m7OAyQs+gRQqc3KonDlTwSMn+Ty7xLnpnd7hTb+Ckt+t1BaBe2CFMb2sp3spjazEXtQdzduusRxo9OLH7XMPWUAV4zxwt2k4dn3CyivstI7wcSd1/jx5LsFZOQ2PqBKYy4aHsz9t3ewv3/gieYPgHTvre2JaefBPx/c1exlNWVgNxMzLnaU/Uv/Kz5DtGvodTCgmxvfr2u8m9/ZGtrbk1uudnTfevbtnDNE//+UnG3lte/q8DAp9InXcs1IPW8trTutovd3dOC4o4aYV6KSW2Lm7ql6okKsze71MLyvF7dNC7W/f/KNjGYtryn7jlRxzzOpeHtqGTvYhwdmhXH/82mUlrfcPZyuoFHgujEGFAW+Xe+amuOYoYHMucVx4fShZxNdstxTWSwq/3nhMA/cFsuPH/bDYlHZsbeUzTuLUZrREDVmWCBzZsfa3z/0dCODATaTxaIy77lEHrg9jmUf98dsUdmxt4TNO5qXf2tTzpOGgfOBVB7F38qzzz7L4487DxhzS1QEs2PanXE+c2kpqsWMzs+5n7/Oz5/6osJG5ikh+T//RtEb0Pl4U19QQJubb6M2O6t5P+IvUptbgDHE+f4DY0gg9aXlWGtqqSsoxmo2YwwOOCUmgNoc1zbdVdWB1aqeNkiFh8l2Vb8hFTWcNrDCyfE6LYzoovD1RitJ2bZp+aUqwb7QP15Dap5zi9OftfNQDUnpjhuZdH8MTuHtqaGk3LFsb08NadkNn7yUV1mxWNQ/WiadR1c90RoZ7K9l7EBPHlyYR2aeraKYllNBfKSRiwZ4sOj70oYWfUbrtxZy8Iiji/aJbkZ+vnoKix2/yc/XwLHkpitL/5odx6C+/twxdw/5hY75C4vrMOg1eHponVof/X0NFJac+01guxJrScpwrIMnBgaxlZuj7H08NBzPabhyfaLsvU9pmTx1GSf07eyGUa+wYXfz7x3ctr+So8cdK/aJdcfXS0tJmaOcfLy0Lh8Z1ZWqasFiVfF0U7B1OrTxdFOoqGq4klRRDZ4m5zNIW4uSc3y92TaCclG5Snq+mX9drqd3By2/7XVdpaWq1rbfOX0/cnqLmD3/GtvnTr/3DPspgJIKW2ulv5fS7Mrj1r0VHE5Ntb8/se77eusoPmnd8fXSuaR7aW2dSk5+PTn59RxJqeHNx6MZM8iHr1c272JZVc2Jdcd5upebQnmj646KV0Pxp6w7JyqOvp4K7/5Y67JWxw3bijh01LE/PFH2/r56p9ZHPx8Dx1Irm/VdR5IrmXX/Xjzcteh0CqVlZt54tguHk859uRu2FnHoyEn5/zEojr+PnqLik/L31XMsxQX5z9njlP+b/+3K4aTmX3wT5z+phosW0bFjR8xmMzt27LBPO3z4MCUlJWecb+7cuZSWljq9ZkS1bfL7VLOZqiNH8OrpaOlEUfDq2ZvKgwfOPG99HfUFBaDV4jt0OKUbW+ZRHK5Wsnk3AaMGOE0LHD2I4s27AVDr6yndeYDAUQMdAYpCwMiBlGx2beuS1Qo5xbb7hE4WGayQ2ciQ+ZmFKpGnxEeFOOI1Cmi1ymndxFQVl1z9rKlTyS2y2F+ZeWZKyi10jnHUgN2MCrFtDRxNa7gCYLFASlY9nWMdXYQUBTrHGjmWZjuYnxj17tTfYVXVc/4d1dUWMrNr7K+UtCoKimrp093PHuPupiWhgzf7E8vOuKx/zY5j2MBA7n54L9m5zmfQh4+VU19vpfdJy40IdyM02MSBJpZ7JjV1KnlFFvvrRNknnFT2JqNCTFsDx9IbL/vUrHqn/5eiQEKMscF5hvd2Y+fhGsqrmnfRAaCmViWnwGx/ZeTUU1xqpmsHx5mxm1GhfaSRIyl/36Y2ixWyClVi2zhOBRQgto2GtEYet5CWZyW2jfOKG9tGQ3remStViqKgc3EPXqsVsopUYkKd84kJVRp91Eh6vkr0qfFhChn5ja8XXu62LrKnVnLORXWtozKXk28byKao1Ey3eMfASm4mDR2iTRxOcf0gSYrCGUdxPVsWK2QWqMSFO/6pChDXRktabsNleTzXSmy480rQPlzjFH+i4hjoo/DeslqXdnWurrGSmVNjf6VmVFNYXEevro5eEO5uWhLae3LwSLlLvrOyykJpmZnwUBPxMZ5s2HbulfbT8k//I/9uvvYYdzctndp7ceCwi/MPMxEf69noIEHnA41WaZXXhUhaHkWLiI+PZ/z48cyePZs333wTnU7HPffcg5vbmQcAMBqNGI3OzVdn22U176vPiXzwYaqOJFKVeIigy69CY3KjcOUyACIffIT6gnyy3n8bAPeOCRgCA6lKOoY+MJCwG25CUTTkfv6pfZkakxvG8HBHfqFhuMXGYS4vpz6v8SHSz4XWwx2POEcLq3t0W7y7d6SuqJSa9Gzin7oXU3gIe2Y8CMDxdz4n8p/X0fHZ+0lf/DWBIwcQduUEtl08276MlAWL6P7Bc5Ts2E/ptr1E3XUjOg830j/8xqW5A2w9ojK5n0JOke2Erm8HBb0O9qbYTrgm97Pd7/LrPtv77UdVrhup0K+DwrFslYR2CmF+tnsaAerMcDxPZVR3DWaL1d5ttUukwuo9LfO8uBUbKpk60ovcQjN5xRauGONFSbmFHYccFYC5NwWw/WA1qzbb7gtcvqGC2Zf7kZJZT1JGPeMHeWA0KPZBWbLzbRWMmy7x4dMVZVRUWendyUSXWCMvfey6A/GSHzK58ep2pGdVk51bw6x/RFFYVMvvmx0tfAue6sZvmwr4ZpmtdX3ObXGMGRbC3Kf3U1Vttt/nU1Floa7OSmWVhR9X5XDnzFjKys1UVZm5Z3Yc+w6Vuuzk5ISVmyq5ZIQnuUVm8ostXD7aVvY7Tyr7B6f7s+NQDb9ssZXtio2V3HyZLymZ9SRn1jN2oDtGg8JvO51PuoP9tcRHGnjp45brHrvs11IuH+tLdn49eYX1XDPRn+JSC1tPem7jo7eHsWVvJSt+t1W8TQaF0CDHPUQhAXqiwg1UVFkoKLa1Qnm6awj00+HnYzvpbhNsiy8ps5x2j+W52LDfwuVDdWQWaMjIVxnUWYtBBzuO2JZ9xTAdZZUqP++wvd900MKsiXoGd9FyON1KtxgN4YEK322wtRDrdTCiu5bENCvlVSruJoUBnbR4u8P+lOZX3E+1+ZCVqYO0ZBWpZBaoDOikQa+D3Um275o6SEt5lcrq3bb3WxKtTB+rZWAnDUcyrXSJ0tDGX2HpZosj/24aDqapVFTbWhvH9NRSVM5pAwW5ytI1xVw1MYDs/DpyC+qZNiWQolIzm3c7WnmeuLstm3dX8NOvJYDt4srJ91WHBOiJbmukvNJCQbEZo0HhygkBbN1bQXGpGW9PLROH+xHgq2PDTtdsu7/vNXPVCD0Z+VYy8q0M6apDr4ftR2zrwlUj9JRVqqzYZnu/Yb+F2VMMDO2qIzHNQvc4LeFBGr7+3VZD1Cjwj4sMhAcqLF5Rh6Jgb9msrrVVWF3tq2XZXH95WzKya8jOq2XmNREUFNc5VZJeejSB9VuK+HaFrXu6m0lDeKijuTs0xERclDtlFWbyCmwXroYP9Ke0zExufi0xke7cOSOK9duK2L7nz/c0OZMlP2ZzwxVtyciuJie3lpuujaCwyDn/+Y8l8PuWIr5d3nD+YcHG0/IfMTCAkrJ6cgtqiWnnzp0zo1m/1fX5i/OTVB5Fi1m0aBGzZs1i+PDhhISE8NRTTzFv3rwW+77idWvQ+fgSNn0Wej9/qpOOceyhOZiLbSeMhuAQUE+6wmkwEHbTzRjD2mCtrqZ0y2aO//dJLJWOA7Z7fEc6zH/V/r7tP+8CoHDlTxx//hmX5u/TuwsDV39sf5/w4r8BSP/oG/bOnIsxLAi3iDD759WpGWy7eDYJL80l6s4bqMnIYd/sRyhYtd4ek71kOYYgfzo8ehfG0CDK9hxi6+RZ1OU13JW3OQ6l27qtDu2i4GFSyCuBL3+z2q8ce7srqCc1v2UWwg+brQzromF4V4XiCvh6g234/BO+32xlRFeFi/trMBmgrAp+3a+yK6llTuJ+/L0Co0Hhpqm+uJs0HDlex/OLC6k/qedksL8WL3fH1fMt+2rw9ijl8tFe+HhpOZ5dz/OLCymrtK1rFiu88FEhV4/1Zs71/hgNCrmFFt7+uoQ9R1x3Wf2Tr9MxmbQ8cEcHPD107DtYypxH91FX7yir8FA3fL0dlZVLJ9oujLz2bA+nZT29IJHlq20XR1597xiqGsvTcxPQ6zVs3VnES28edVneJyz7vRKjXmHGxT64mzQcTavjxY+KGih7x8WkLftr8PIo47LRnvh4aknLrueFj4rsZX/CsF7uFJdZnUbSdbXvVpdiNGiYfXXgHw96r+Gpt3KoNzvKPyRAh7eHY92JbWfk8TsdDy2dfqmti/naLeW8/mk+AH26uHPHdcH2mHunhwDw5fJivlzR/MrwvhQrHiYzo3vp8HKD7CKVxT/X2+9N9PFwbv1Py1P5cp2ZMb21jO2tpbBM5ZPVtkcvgK2FPchHodco23Mdq2ohM9/Kuz/V22Nc6cBxFXejlRHdtHi6QU6xyidrLCflD6rqPILzN+stjOyhZVQPDUXl8PmvFvL/OCdWVQj2Vegeo8Gkh/Jq22isa/dYWqTyAvDNz0WYDAr/nBaKh7uGQ0nVPP5qhtO6ExpkcHo+Y1w7E0/f67jYOPNK2zqyelMpr3yUg9UKbUMMjLqlDd4eWsorrRw9Xs3cl9JJz3ZNV+q9yRY83GBsHx1e7gpZhSof/FRr7zLs6+m87hzPtfLZ6jrG9dUzvp+OglKVj36uI7fYFuTjodA5yvYb77nCuS/y20trSc52/T/gs++yMBm13Dc7xrbfTCzjgacOOe83Q4z4eDtOl+NjPVnwuGMU9zumRwGwYm0e/309CbANNnb7jVH4+egpLKnn51/z+egr19/f+tm3mbgZNdx3a6wt/0Nl3P/kQaf824Sa8Dlpvx8f68nCJ7s48r8pGoDla/L472vH/shfz+0zHPmvXJfHR0ta9v5ccf5QVNXVY4cJ4Vo7Rw9pOuhvLPu3/NZO4Zzt/eRga6fQLAf2uLZ1+K+Wutf1lbS/SkyPDk0H/Y1VlbXMcxX/KvHdw5sO+psyGM7vO2p2bmj84evng449zzzGwN/Zlp93t3YKzaJaz+9T8l+/GdTaKTQqeXrDz/xuaTGLf2yV721J5/ceWgghhBBCCCHEX0K6rQohhBBCCCEuWPKoDteRkhRCCCGEEEII0SSpPAohhBBCCCGEaJJ0WxVCCCGEEEJcsBTNhfnMxdYgLY9CCCGEEEIIIZokLY9CCCGEEEKIC5a0PLqOtDwKIYQQQgghhGiStDwKIYQQQgghLljyqA7XkZIUQgghhBBCCNEkqTwKIYQQQgghhGiSdFsVQgghhBBCXLBkwBzXkZZHIYQQQgghhBBNkpZHIYQQQgghxAVLBsxxHSlJIYQQQgghhBBNksqjEEIIIYQQQogmSbdVIYQQQgghxIVLkQFzXEVaHoUQQgghhBBCNElaHoUQQgghhBAXLHlUh+tI5VH87X13w5rWTqFZ3GZrWzuFc9btuoTWTqFZotYltnYKzbI93Ke1U/h/K6RHSGun0Cyb1ia1dgrnbMpl7Vs7hWYp69q2tVNolr0bj7Z2Cufsoiv6tXYKzbJp9eHWTkGIJknlUQghhBBCCHHBkkd1uI6UpBBCCCGEEEKIJknlUQghhBBCCCH+Bl5//XWioqIwmUz079+frVu3njF+wYIFxMfH4+bmRkREBP/617+oqalpsfyk26oQQgghhBDignW+DJjzxRdfcO+99/LWW2/Rv39/FixYwLhx4zh8+DDBwcGnxX/66ac89NBDfPDBBwwaNIgjR44wffp0FEVh/vz5LZKjtDwKIYQQQgghRCubP38+N998MzNmzCAhIYG33noLd3d3PvjggwbjN27cyODBg5k2bRpRUVGMHTuWa6+9tsnWyuaQyqMQQgghhBDigqVoNK3yqq2tpayszOlVW1vbYI51dXXs2LGDMWPG2KdpNBrGjBnDpk2bGpxn0KBB7Nixw15ZTE5O5qeffmLixImuL8QTObXYkoUQQgghhBDi/6lnn30WHx8fp9ezzz7bYGxBQQEWi4WQEOdHRYWEhJCTk9PgPNOmTeOJJ55gyJAh6PV6YmNjGTFiBP/+979d/ltOkMqjEEIIIYQQQrjY3LlzKS0tdXrNnTvXZctft24dzzzzDG+88QY7d+7km2++YdmyZTz55JMu+45TyYA5QgghhBBCiAtWaw2YYzQaMRqNZxUbGBiIVqslNzfXaXpubi6hoaENzjNv3jyuv/56Zs2aBUDXrl2prKzklltu4eGHH0bTAs+3lJZHIYQQQgghhGhFBoOB3r17s3r1avs0q9XK6tWrGThwYIPzVFVVnVZB1Gq1AKiq2iJ5SsujEEIIIYQQ4oJ1vjyq49577+XGG2+kT58+9OvXjwULFlBZWcmMGTMAuOGGGwgPD7ffNzllyhTmz59Pz5496d+/P8eOHWPevHlMmTLFXol0Nak8CiGEEEIIIUQru/rqq8nPz+c///kPOTk59OjRgxUrVtgH0UlLS3NqaXzkkUdQFIVHHnmEzMxMgoKCmDJlCk8//XSL5SiVRyGEEEIIIcSFqwXu/Wspd9xxB3fccUeDn61bt87pvU6n49FHH+XRRx/9CzKzOX9KUgghhBBCCCFEq5HKoxBCCCGEEEKIJkm3VSGEEEIIIcQFS1HOjwFzzgfS8tiKpk+fztSpU/+S74qKimLBggV/yXcJIYQQQgghLjzS8tiKFi5c2GLPYGkJI0aMoEePHn/rSmi/eA2Du2jxdIPcIpVlWy1kFjRexp0jFUb11OHrCUVlKj/vsHA0s+H4KQO09I3XsnyrmU2HrC2Sf684hf7xCp4myCuBn3dZyS5qPL5jWxjWRYOPBxSVw7q9VpJyHJ/rdTCyq0L7cAU3A5RWwvZjKruSXLve+Q/pQ8ycmfj06oKpTTDbL/8nuT+sPvM8w/qR8OJDeCa0pyY9m2PPvknGR986xUTeNo2Ye2diDA2ibG8iB+55ktJt+1ya+wlbV3/ChhXvU1FaQGhERyZc9whtY7o1GJuXeZS1371CVuoBSguzGHfNXAaOvdEpxmq1sO6719i7+QcqSgvw8g2mx+BLGTbltha5Ajq4i44RPfR4uStkFVr59vc60vMaX0+7xWqZ0M+An5dCQanKj5vqSEyzOMWM66tnQIION6NCSraVr3+rpaC0ZfZZrs6/a4yWgZ31tA3S4GFSeOmLarIKW2a7PbjpE/b9/gHVFQX4h3Zk4JSHCYpoeN0BSNm3gh2rXqGiJBPvgEj6jp9DRPxw++fV5QVsW/kSmUc3UFtTTmhUHwZOeRifwKgWyR/g2kn+jBnkg4ebhsTkGt7+Io/s/PpG4xNiTUwd40dsOxP+PjqefSeLrXsr7Z9rNTBtSgC9O3sQEqCnqsbKnsQqPv6hgOJSS6PLPRc7133CllXvU1mWT3Dbjoy5eh5tohou//yso6xf+go5aQcoK8pk1BVz6Tt6ulPM+h9fZcOy15ym+YdEc/NjK1yaN5z/2y3A9ZeGMH64Px7uWg4ereS1jzLJyq1rNL5LBw+umBhEXKQbAX56nngllU07y5xi7p3VlouG+DtN276vnHkvpbg0995xCgM62Y65uSXw8w4rWWc65kbA8K4afP845q7ZYyUp2/H5w9c0/GiE1butbE5smf/BdRcHMW6oLx7uWg4dq+KNT3LIymu8/Du3d+fycQHERpoI8NXz1OvpbN5d7hQzbUoQQ/t6E+Svx2xWOXa8mo++y+dISnWL/Ia/gnIeDZjzdycl2Yp8fHzw9fVt7TQuGF2iNIzvq2XdHgtvLa0np1jlhjE6PEwNx0cEKVwxTMfOoxbeXFrPoTSVa0fqCPY9/cS+UzuFtkEKZVUtdwDuFKEwurvC+gMqH6yykluicvUwDe7GhuPDA+CSARr2pKh88LOVo1kqlw/WEOjtiBndXSEmVGHpFivvrrCy7ajK2J4KcW1cm7vWw52yvYfZf9fjZxXvFtWWvj+8TeG6Lazvcwkpr35I17efIvCiIfaYsCsn0OmFuRx96nXW97uU8r2J9F/2PoYg/zMs+dzs3/oTK7/4LyMuvp3Zj35DSEQ8/5s/i4qywgbj6+tq8AuKYMwVc/D0CWowZv1P77Jt3WdMvG4etz+9jDFXzmHD8vfY8svHLs+/R5yWiwcb+Hl7PS8vqSarwMotk014ujUcHxWq4R8XGdlyyMz8JdXsTzEzY4KRUH/Huj+yp56h3fR89WsdC7+ups6scstkE7oWeGxUS+Rv0CmkZFtYtqnxkyhXSN77E1t+eo6eo2/nktu/xj8snhWLbqa6ouF1J/f4LtZ+cR8d+lzO1Du+ITJhNL/8706Kco4Atoc6r/rfHZQVpTPm+teZesc3ePq2YfkHN1FfV9Uiv+HSMX5MGu7L25/n8eCL6dTWWfnP7eHodY1f5DAZNaRm1vHOF3kNfm40aIiJMPHl8iLmPJfGc+9mEx5i4N+zXbvzObT9J9Z8/SyDJ93O9H9/S3Dbjnz5ykwqG9l2zXXV+Aa2ZfjUOXh4N7ztAgSGtef2/663v66771OX5g3n/3YLcOXEIC6+KJBXP8zknieOUVNr5ak50ej1Z153ktOqeePjzDMue9veMqbdfdD+eu7NNJfm3ilCYUxPhd/3q7y/0kpeico1I858zL10oIY9ySrvrbRyJFPlyiEagnwcMQu+szi9lm6xoqoqiektc+5w+fgApoz25/X/ZTPnmRRq6lSeuKddk9tuckYNb32a02hMZm4tb32Ww+2PJfHA86nkFtbz5D3t8PZsoRVJnFek8vgX+Oqrr+jatStubm4EBAQwZswYKisrnbqtpqamoijKaa8RI0bYl7N+/XqGDh2Km5sbERER3HXXXVRWVjb8pQ0oLy/n2muvxcPDg/DwcF5//XX7ZzfddBOTJ092iq+vryc4OJj333+f6dOn8+uvv7Jw4UJ7bqmpqQDs37+fCRMm4OnpSUhICNdffz0FBQVN/n5XG5SgYcdRK7uOWckvhaWbLNRboFdcw6v5gE4ajmWqbDhgpaAU1uy2kF2k0r+jc7yXO0zsp+Or3y1YWqbhAoB+HRT2JKvsS1UpLIMVO1TMZugW3fBBoE97heQc2HJYpbAcftuvklMCvds74tsGKuw7rpKWD6VVsDtZJbcE2vi7tuUrf+VvHHl0Abnf/3JW8ZG3XEN1SgaHHniOisRkjr/xCTlfryT67un2mOh7ZpD+/pdkfPgNFYeS2PfPR7FU1RAx/XKX5g6waeVieg27kp5DLyc4PI7JNzyO3mBi1+9fNxgfHt2VsVc9QNf+k9Dq9A3GpB/bRcceo+nQfQR+gW3p3Gc8sV0Gk5ni+pbTYd31bD5oZluimdxila9/raPerNKvY8O5De2m53CahXW768krVlmxtZ7MfCuDuzrih3XT8cuOOg6kWsguVPlsdS3eHgpdol1/8tAS+e84YmbV9nqOZLi2letU+9d/SHzfK+nQ+zL8QuIYfMlj6Awmjuz4psH4Axs/om37IXQbNhPf4Fh6X3Q3AW06cWizrXJSVphKfvoeBl/yKEFtu+IbFM3gSx7FUl9L8p5lLfIbJo/0ZcnKIrbuq+R4Vh0LP8rF30dL/+4ejc6z82AVn/5YyJa9De/Lq2qsPP5aJht3VZCVV8+R1Bre/TKPuHYmAv1c1+lp2+pFdB98Fd0GXU5gWBzjrrVtu/s2NbzthkV1Y+TlD5LQdxJanaHR5Wq0Wjx9guwvd0/XX7Q637dbgKljA/n8h1w27yojNaOGF99NJ8BPz6Be3o3Os31fOR99k8vGU1obT1VvVikuNdtfFVWu3Zb7d1TYnaSyN0WloAx+2mY75naPafj42C9eISkbNifajtG/7lPJKbYdi0+orHF+dQhXSM2DEtef8gBwyWh/vlhWwJY9FaRm1jL/g0z8fXUM7OnV6Dw79lfwv+/y2bSrvNGYX7eWsedQJbkF9aRl1fLel7l4uGuJbtvI1Xjx/4pUHltYdnY21157LTfddBOHDh1i3bp1XHbZZad1V42IiCA7O9v+2rVrFwEBAQwbNgyApKQkxo8fz+WXX87evXv54osvWL9+faPPgWnICy+8QPfu3dm1axcPPfQQd999N6tWrQJg1qxZrFixguxsR/+LH3/8kaqqKq6++moWLlzIwIEDufnmm+05RkREUFJSwqhRo+jZsyfbt29nxYoV5ObmctVVV/2p399cWg2EBSgkZTlqdyqQlGWlbVDDq3lEkIbkbOfa4LFMlYggx4FAAS4fomPDAQv5JS3X6qjRQKgfpOQ6f0dqnkp4QMMHsvAAhdRT4lNynOMzClTat1HsV7LbBYG/ly2uNfkO6EHBmk1O0/JXrcdvQA8AFL0en16dKVi90RGgqhSs2YjvgJ4uzcVsriPr+AFiEgbZp2k0GmISBpKRtPuclxsR15PkQ5soyLF1s8pJSyTt6E7adx3W3JSdaDXQNkjD0ZMqSSpwJMNCZGjD635kiOa0StXhdAtRIbZ4f28Fbw8NR9Id20dNHaTlWokMde1JaEvk/1exmOsoyDpAm7iB9mmKRkOb2IHkpe1ucJ68tD1O8QBt2w+xx1vMtq6iWp2j+UPRaNDqDOQe3+naHwCEBOjw99GxJ9HRqllVY+Voag3xUa49UXR302C1qlRWu+YqnMVcR07aASI7OrZdRaMhquMgMpN3NWvZxXnHef2hIbz1yGiWfjCHsqKs5qbr5HzfbgFCgwz4++rZdbDCPq2q2srhpCo6xjZ+4eFsdevoyWevJPDus/HccUM4Xh6u+w0aDYQ1cMxNyVVpe4Zj7qnxyTmNH6M9jBDXBvYkt8zxNiRQj7+vnt2HTin/5Go6xjTSfH0OdFoYP8yPiioLKRk1LlvuX03RKK3yuhDJPY8tLDs7G7PZzGWXXUZkZCQAXbt2PS1Oq9USGhoKQE1NDVOnTmXgwIE89thjADz77LNcd9113HPPPQC0b9+eV155heHDh/Pmm29iMjV9kB88eDAPPfQQAB06dGDDhg28/PLLXHTRRQwaNIj4+Hg+/vhjHnjgAQAWLVrElVdeiaenJwAGgwF3d3d7ngCvvfYaPXv25JlnnrFP++CDD4iIiODIkSNUVFSc1e9vLncjaDUKlafs1yprcOpScjJPN6g4Jb6iRsXTzXHgHtJFg1WFzS10j+MJ7gbQaBSqap2nV9ZAQCMXED1NNPh7PU9aFVbtUpnQB+6cosViVVFVWL5dJb2AVmUMCaQ21zmJ2twC9D5eaExG9H4+aHQ6avMKT4kpxCM+xqW5VJUXo1oteHoHOE338A6kIPvc768ZMvEWaqsree3hiWg0WqxWC6Mvu4duA6c0N2UnHiYFrUah/JQu1RXVKsF+DZ+EerkrVJwSX16l4uVui/d2tx3wyqtPialW7Z+5Skvk/1epqSpBtVpw83Red9w8AyjNb3jdqa4owM0z0GmayTOAqnLb9uAbFI2HbxjbV77M4EsfQ6d3Y/+GD6kszaGqPN/lv8HX23YaUFruXCkpKbfYP3MFvU7hhksC+X1HOdU1rtmfVlXYtl2PU7Zdd+8ACnOTz3m5YVHdmHjDs/iHRFNRls+GZa/zyUvXcdO8pRhNns1NGzj/t1sAPx/b+lFcanaaXlxmtn92rnbsK2fD9jJyC+oICzYw/fJQnpwTzb1PHsPqgrrYiWNuQ8fQgEYaTRs75no0Uk/rGq1QV0+LdVk9UcYlZaduu2Z8m1n+AH27efLAzW0xGhSKS83Me/k4ZRUt25NDnB+k8tjCunfvzujRo+natSvjxo1j7NixXHHFFfj5+TU6z0033UR5eTmrVq1C88cNvnv27GHv3r188skn9jhVVbFaraSkpNCpU6cmcxk4cOBp708e/GbWrFm88847PPDAA+Tm5rJ8+XLWrFlzxmXu2bOHtWvX2iuYJ0tKSmLs2LF/6vfX1tZSW+tcgzLXK+j0jdyE0ILC/BUGJGh5a2njg0b83fVur9DGX2HJ7xZKq6BdkMLYXgoV1SqpDd+qJFzkwLbl7Nu8lMtveZHg8Dhy0hJZ8dkz9oFzhGiIRqtnzHWv8vs3j/C/JwegaLS0iR1I2w5DXbL8YX28uPXaYPv7p990bYtaQ7QauG9mKCjw9heurwC7WmwXx+BFwXSkTVR33nx4JIk7ltN98JWtmFnrGjnQlztvDLe/f/Tl1Bb7rl+3lNr/Ts2oISW9hkUvdKRbR0+nlra/s+4xCvuPqy673WVEf29u/4fjnuHHX3XtPaCn2ptYyV1PJOHtpWPcUF8enN2WOc+knHah6bwhA+a4jFQeW5hWq2XVqlVs3LiRn3/+mVdffZWHH36YLVu2NBj/1FNPsXLlSrZu3YqXl6PJqaKigtmzZ3PXXXedNk+7du1ckusNN9zAQw89xKZNm9i4cSPR0dEMHXrmE5aKigqmTJnCc889d9pnYWFhZ/z90dHRp83z7LPP8vjjzoOuDLvkEYZfOu+MeVTVgsWqnjY4jocJyhsZHKyi2rmVDsDTZKtYAUSFKHiY4N4rHPeTaDUK4/poGZCg5eWvXVeprKoDq1U97UZ9D9PpraP2/Gto8PeeiNdpYUQXha83OkaDyy9VCfaF/vEaUs8wol9Lq80twBji3PpiDAmkvrQca00tdQXFWM1mjMEBp8QEUJvj2mZTdy8/FI32tMFxKssK8PQJbGSupq368gWGTLyZrv0nARDSNp6Swix+X/aOSyuPlTUqFquK1yktC55up7dqnFBepeJ5SryXu0J5lW2dODEwlNcpy/ByU8h08YilLZH/X8Xk7oui0Z42OE51RSFuXg2vO26egVRXOK/DNRWFuJ8UHxjemUvv/Ja6mnIs5nrcPP354Y2rCQzv3Oyct+6r4EiqY6dyYmANHy8txSe1YPh6aUnJqD1t/j/LVnEMI8hPz6OvZris1RHA3dO27Z46OE5VWSEe3ue+7Z7K5O6Nf0gUJfmuO1k/H7fbzbvKSExydG8+se74+eicWh/9vHUkpbm2e2NOfh2lZWbCQgzsPtT85Z045jZ0DK1s7JyhkWNuQ/ERQRDorfDtRtet71t2V3A4Ocn+Xq+3VYZ8vbVO5e/rpSMlvfnlX1unkp1fT3Z+PYeTq3nnqVjGDvFlyfKGB6MS/39INfwvoCgKgwcP5vHHH2fXrl0YDAa+/fbb0+K+/vprnnjiCb788ktiY2OdPuvVqxcHDx4kLi7utJfB0PhN/yfbvHnzae9PbrEMCAhg6tSpLFq0iMWLFzNjxgyneIPBgMXifMWpV69eHDhwgKioqNPy8vDw+FO/H2Du3LmUlpY6vQZPfqDJ32axQnahSkyYY5VWgJgwDRn5De+80/OtTvEAsW0U0vNtB93dyVbe+MHMm0sdr7Iq2wA7H61ybWuk1Qo5xbYK68kigxUyCxs+kcgsVIk8JT4qxBGvUUCrVTj19lJVhdZ+Vm7J5t0EjBrgNC1w9CCKN+8GQK2vp3TnAQJHndRarigEjBxIyebm3ct0Kp3OQJvIzqQcctyDabVaST60mbaxPc55ufV11acNDa7RaFBV11ZwLFbIyLfSPtxxP5ACtG+r5XhOw991PNdK+7bO9w91iNCSmmuLLypTKau00r6tI3+jHtqFaDie49qrzi2R/19FqzMQ2KYz2ccc+1bVaiUraTPB7Xo0OE9wu+5kJTnvizOPbWww3mDyws3Tn9KCVAoy99MuYXSzc66pVckpqLe/0nPqKCo10y3e3R7jZtLQPsrE4dTmnYCeqDi2CdLz2GuZlFe69v+j1RkIbdeZ44cd265qtZJ6eBPhMa67N7quppKS/PQzjs76Z52P2211jZXsvDr7Ky2rlqKSenokOHoeuZs0xMe6k5jk2hFiAv30eHlqKSoxNx18FqxWyG7gmBsVopBxhmNu9Cnx0aENH6O7xyhkF6nklbgkXQCqa632ylx2fr2j/Ds67i91M2mIj3EjMdn1j9RQFAW97vytNsg9j65z/q4F54ktW7bwzDPPsH37dtLS0vjmm2/Iz88/rZvp/v37ueGGG3jwwQfp3LkzOTk55OTkUFRke+DQgw8+yMaNG7njjjvYvXs3R48e5fvvv/9TA+Zs2LCB559/niNHjvD666+zZMkS7r77bqeYWbNm8eGHH3Lo0CFuvNH5uXVRUVFs2bKF1NRUCgoKsFqt3H777RQVFXHttdeybds2kpKSWLlyJTNmzMBisZz17z/BaDTi7e3t9DrbLqsbD1rp3UFDj1gNgT4weYAWgw52HrMdWC8bomVML8eBd/MhK3HhCoMSbI+3GNldS5sAhS2JtvjqWsgrUZ1eFqvtnpTCMw8Sd062HlHpEaPQNVIhwAvG91bQ62Bviu3ANLmfwvCujh3R9qMqMaG2UVr9vWBIZ4UwP9hx1BZfZ4bjeSqjumtoFwQ+HtA1SqFLpMLhRp5lea60Hu54d++Id/eOALhHt8W7e0dMEWEAxD91L90XOVqnj7/zOe7REXR89n484mOIvHUaYVdOIGXhYntMyoJFRMy8ivDrp+LZMYYurz+GzsON9A8bHsWyOQaOm86OX5ewe8O35Gclsezjx6ivrabnkMsA+ObdB/nlq5fs8WZzHdlph8hOO4TFXE95SS7ZaYcozD1uj+nQYyS//fgWR/aso7ggg0M7VrFp5WI69brI5fn/tqee/gk6+sTrCPZTuHy4AYNOYWui7SLHtaMNTBzgaEH/fW89HSO0DO9uezTN2L625yFu2Oe4KPLbXjNjehvoHKUl1F9h2mgjZZUq+1Nc32WpJfJ3M0KbAA0hf9w/Fuyn0CZAg5ebaw/mXYbcyOHtSzi68ztK8pLY8P3jmOuq6dDL1rr865IH2bZyvj2+86AbyDiynn2/L6IkL5mdv7xGQeYBOg2YZo9J2beC7OStlBWlc/zgalZ8MJPIhNG0bT/Ypbmf8OPaEq4c70/frh60a2Pg7utDKCq1sGWPowLw+J3hTBjmuIHcZFCICjcQFW67eBkSoCcq3GAfSVWrgQdmhRHXzsjLH+agUWytmb5eWpc+NqLv6BnsWf8l+zZ9S0F2Eis/s227XQfatt0fFz/Ar985tl2LuY7c9EPkph/CaqmjoiSX3PRDFOc5tt01Xz9H2pGtlBZmkJG0k2/evgNFoyGh7+TTvr85zvftFuC7nwu4Zkow/Xt4E9XWxJxbIigsrncaSfXZB6KZMtrRi8Rk1BDTzkRMO1szXkiggZh2JoL89fbPZ14dRsdYd4ID9fTo5Ml/7o4kK6+OnfsbHyH0z9qSqNIzVqFrlEKAN0zo88cx948Bbqb0VxjRzbG/2HpYJSYM+sfbjtFDu9iOuduPOh9PDTrbY0B2u/h5yg35fnURV08Kol93TyLDjdx7UxuKSsxOI6k+fW8kk0c6bhUyGRWiI4xER9jOrUIC9URHGAnyt227RoPCDZcGEx/jRpC/nth2Ju6+MYwAPx3rd7TAyY8470i31Rbm7e3Nb7/9xoIFCygrKyMyMpKXXnqJCRMm8MUXX9jjtm/fTlVVFU899RRPPfWUffrw4cNZt24d3bp149dff+Xhhx9m6NChqKpKbGwsV1999VnnMmfOHLZv387jjz+Ot7c38+fPZ9y4cU4xY8aMISwsjM6dO9OmjfPzuO677z5uvPFGEhISqK6uJiUlhaioKDZs2MCDDz7I2LFjqa2tJTIykvHjx6PRaM74+11tf6oVdxOM6qHF001LTpHKx7+Y7Te4+3goTqO8puerfPWbmdE9dYzppaWwTOWztWbyWnBU1TM5lG7rtjq0i4KHSSGvBL78zWofRMfb3Tn/zEL4YbOVYV00DO+qUFwBX2+wUnDSvv37zVZGdFW4uL8GkwHKquDX/Sq7XHxQ8+ndhYGrHc8vTHjx3wCkf/QNe2fOxRgWhNsfFUmA6tQMtl08m4SX5hJ15w3UZOSwb/YjFKxab4/JXrIcQ5A/HR69C2NoEGV7DrF18izq8lzfZaZLv4lUlhex9rtXqSjNJzSiE//417v2bqulRVlOVxDLS/J4+zFH19ONKz5g44oPiIzvy4wHbeUwcdojrPn2FZb97wkqywrx8g2m94irGX7xP12e/+5jFjxMdYzrp8fb3UBmgZV3f6yh4o+Lz76ezi2eqTlW/vdLLRP6GZg4wEB+icqi5bXkFDnWi7W76jHo4IoRBtwMtoeNv/NjDeYWOAdtify7ROm4ZrTjwtP1Y20nqiu31fHzNtf1HIjpNpGaymJ2/PIK1eUFBIR1YtyMd+zdVitKslEUx3XakMiejLz6BXasWsj2n1/GOyCSMf94Ff/QDvaYqvJ8tvz0nL37a/uel9Bj5G0uy/lU3/5SjMmocNu1wXi4aTiUVMOTb2RSb3aUZ2ig3ukZb7GRJp66u639/U2X21rl1mwu49X/5eLvq6NfN1uL1MtzI52+75GFGRw46pqWkU59JlJVUcT6H1+hsiyf4LaduOrO9+zdVsuKnMu/ojSPxc9Mtb/f+ssHbP3lAyLa92PavbZtt7w4h6Uf3Et1ZQlunv60je3N9Q98ibuXax/Xcb5vtwBLfsrHZNRw14xwPN21HDhSybyXUqivd+QUFmzE28txutk+2o3nH3L0rpo9zXausWp9EfPfy8BqVYlua2LMYD883DUUlZjZud/2eI+T18nmOpRu67Y6vKvtmJtbAp+vs1L5xzHXx0NBxfmY+90mKyO6ahjRTaGoHJastz0a7GSdIxUU4EBay59LfL2iEJNBw53Xt8HDXcPBo1X8Z2Ga87YbpMfb86Tyj3Tj2fuj7O9vvto2COIvG0tYsCgLqxXahhoYPbAt3p5ayiotHE2t4cHnU0nLan5XdnH+U1RXPzNBnNcqKioIDw9n0aJFXHbZZa2dDgD/+bBlH/Ld0tzczt+H6na7LqG1U2iWsnWJrZ1Cs2zf0zIPhRdNCwlx3VD3rWHT2qSmg/6mplzWvrVTaJYDiS30UL+/yMGt5++6M2R88+8Lbk2bVh9u7RSa5cd3/77nDMVPt9wFuDPxe/jNVvneliQtjwKw3eNVUFDASy+9hK+vLxdffHFrpySEEEIIIYT4G5HK4wXg999/P2M30IqKpoe1TktLIzo6mrZt27J48WJ0Olk1hBBCCCHEBeACHbymNUgN4QLQp08fdu/e3axlREVFIT2YhRBCCCGEEI2RyuMFwM3Njbi4uNZOQwghhBBCCHEBk8qjEEIIIYQQ4oJ16nOXxbmTkhRCCCGEEEII0SRpeRRCCCGEEEJcsBQZMMdlpOVRCCGEEEIIIUSTpOVRCCGEEEIIceFSpL3MVaQkhRBCCCGEEEI0SSqPQgghhBBCCCGaJN1WhRBCCCGEEBcsGTDHdaTlUQghhBBCCCFEk6TlUQghhBBCCHHh0kh7matISQohhBBCCCGEaJJUHoUQQgghhBBCNEm6rQohhBBCCCEuWIoiA+a4irQ8CiGEEEIIIYRokrQ8ir+95CMFrZ3C/1tR6xJbO4Vm8R7RsbVTaJaKJze1dgrnTG/QtnYKzVJUVNfaKTTL+TwsfXaepbVTaBaLRW3tFJolqnO71k7hnNXVWVs7hWaJ6hTe2ilcuGTAHJeRkhRCCCGEEEII0SSpPAohhBBCCCGEaJJ0WxVCCCGEEEJcsM7nrvx/N9LyKIQQQgghhBCiSdLyKIQQQgghhLhwKdJe5ipSkkIIIYQQQgghmiQtj0IIIYQQQogLl9zz6DLS8iiEEEIIIYQQoklSeRRCCCGEEEII0STptiqEEEIIIYS4YCkyYI7LSEkKIYQQQgghhGiStDwKIYQQQgghLlwyYI7LSMujEEIIIYQQQogmSeVRCCGEEEIIIUSTpNuqEEIIIYQQ4oKlaKS9zFWkJIUQQgghhBBCNEkqj+KspaamoigKu3fvbu1UhBBCCCGEODuK0jqvC5B0WxVnLSIiguzsbAIDA1s7lSZdPtqLkX3dcTdpOHK8jkU/lJBbaDnjPGP6uzNpqCc+nlrScur56MdSkjPqAQj01bLg/pAG53vlsyK27q/52+YO4OOp4drx3nSJM2IyKuQUmPl+XQXbDrgub4Ctqz9hw4r3qSgtIDSiIxOue4S2Md0ajM3LPMra714hK/UApYVZjLtmLgPH3ugUY7VaWPfda+zd/AMVpQV4+QbTY/ClDJtyG4oLd8r+Q/oQM2cmPr26YGoTzPbL/0nuD6vPPM+wfiS8+BCeCe2pSc/m2LNvkvHRt04xkbdNI+bemRhDgyjbm8iBe56kdNs+l+V9qilD3Rja3YibUSEp08ynKyvJK7aecZ4RvYxc1N+Ej4eGjDwLn6+qJDW74fXtzis96RJr4I2vy9lztL7BmOaYNMjIoC4G3EwKyZkWvlhdTX7JmfMf1t3A6D5GvD0UMvMtLFlbw/EcW/7uJoVJA410jNTh562hokplb1I9P26ooabOdXkPSNAyvJsOTzfILlL5YWM9Gflqo/FdozVc1EeHn6dCYZnK8q1mDqc7fueYXjq6xWrw9VCwWCGjwMrP28ykn2GZzXXNRH8uGuiNu5uGxJQa3vkyn+z8xv/HCbEmLhntR2yEEX8fHf99N5ut+yrtn2s1MG1yAL0S3AkJ0FNVY2Xv4So+/qGQ4rIz78/+rN5xCgM6KXiaILcEft5hJauo8fiOETC8qwZfDygqhzV7rCRlOz5/+Bptg/Ot3m1lc2LL/A8m9DcwoLMON6NCSraFJWtrKSg983cN6apnVC89Xu4KWQVWvv6tlrRcx3o0sLOO3h30tA3WYDIozH27gmoXrvcnTB5sYkg3A25GheQsM5/+3PR2O7yngYv6mvD2UMjIs23rJ7ZbgGlj3egYqcPHQ0NtvUpypoVvf6smt+jMy/2z+sVrGNRZg6cb5Bap/LTVSmZh4+WeEKkwqocWX08oKoNVOy0czXTETx2kpWecc7vM0Uwr/1vt2nX+ZOfrflOcv6TlUZyVuro6tFotoaGh6HR/72sOk4d6MnagBx98X8qjb+ZTW2/lwekB6M+Qdv+uJq6b6MO3a8p55PV80nLqeXB6AN4etk2ksNTC7c/mOL2++qWM6lore47U/q1zB7j1Cl/CgnTM/18Rc1/JZ9uBGu68xo/IMNf9L/dv/YmVX/yXERffzuxHvyEkIp7/zZ9FRVlhg/H1dTX4BUUw5oo5ePoENRiz/qd32bbuMyZeN4/bn17GmCvnsGH5e2z55WOX5Q2g9XCnbO9h9t/1+FnFu0W1pe8Pb1O4bgvr+1xCyqsf0vXtpwi8aIg9JuzKCXR6YS5Hn3qd9f0upXxvIv2XvY8hyN+luZ8wrr+JUb2NfLKykv9+VEZtvcpdV3uha/g8GIA+HQ1cMcqdZeureXpRKRl5Zu662gsv99Mr5qP7Gmm5qguM6WtgeA8jn6+u5sVPK6irV7n9Mo8z5t+rg55Lh5tYvrmG5/5XQWa+ldsv88DTzZa/j4eCj6eGb3+r4ZkPK/jfyioSonRcN9bdZXl3i9EweYCOX3aaefXbOrILrcycYMDD1HB8u2CFa0bp2X7Ywivf1nEg1cr1F+kJ8XOUeX6plR82mFnwdR1vLq2jpFxl5sTGl9lcl47xZdIwH976Mp+H5mdQW2dl3m1t0Osav0BjNGhIzazl3SX5jX4e09bIkpXF3PdCOs+/n02bYANzbwlzae6dIhTG9FT4fb/K+yut5JWoXDNCg7ux4fjwALh0oIY9ySrvrbRyJFPlyiEagnwcMQu+szi9lm6xoqoqiektswWM7qVnWHc9S9bW8vKX1dTVw62XuJ1x3e/ZXsfUoQZWbK3jxc+ryCywcuvFbvZ1H8CgUziUZmbV9pY74x/bz8jIXkY+XVXF85+UU1sHd1155u22d7yey0e4sWxjDc98VE5GvoW7rvRw2u+k5Vj4aHkVj39QzqtLKlEUuOtKT5c25HSOUhjXR8O6PRbe/tFMTjFcP0bb6HYWEaRwxVAtu45ZeetHM4npVq4ZoSXY1znuaKaVF76st7+++r3lKo7n636zVWg0rfO6AF2Yv0o0acSIEdxxxx3ccccd+Pj4EBgYyLx581BV28ExKiqKJ598khtuuAFvb29uueWWBrutHjhwgMmTJ+Pt7Y2XlxdDhw4lKSnJ/vl7771Hp06dMJlMdOzYkTfeeKPFf9v4wR58v66cnYdqSM8189aSEny9tPTu1PiZ14TBnqzdXsVvO6vJyjez6PtSautVhve27SxVFUorrE6vPglubNlXTW2d604oWiJ3gPbtDPy8qZLkjHryiy18v66CyhqV6HCDy3LftHIxvYZdSc+hlxMcHsfkGx5HbzCx6/evG4wPj+7K2KseoGv/SWh1+gZj0o/tomOP0XToPgK/wLZ07jOe2C6DyUxxbetd/srfOPLoAnK//+Ws4iNvuYbqlAwOPfAcFYnJHH/jE3K+Xkn03dPtMdH3zCD9/S/J+PAbKg4lse+fj2KpqiFi+uUuzf2E0X1N/LSxhj1H68nMt7Dox0p8PTX06ND4/3hMPxPr99SycZ+t0vPJiirq6mFQN+cz77bBWi7q68ZHP1U2sqTmG9nTyMotNexLMpNVYOWjFVX4eCp0j2t43QAY1dvAxv11bD5QT06Rlc9/qabOrDKwi+03ZxdaeW9pFfuTzRSUWjmSbmHp+hq6xOhc9sivIV11bE20sOOIhbwSle/Wm6kzQ5/4hs/eBnfRcSTDym97LeSXqKzaYSarQGVgZ0f8niQrx7KsFJWr5BWr/LjZjMmgEOrfMofsycN9+ernYrbtq+R4Vh2vfJyHv4+Wft08Gp1n16EqPltWxJa9Da8TVTVWHn8ji427KsjKq+dIai3vfZVPXDsTgX6uu2jVv6PC7iSVvSkqBWXw0zYVsxm6xzT8D+4Xr5CUDZsTVQrL4Nd9KjnF0Ke9I76yxvnVIVwhNQ9KWmj1H9ZDz8/b6tifYrFth6tq8PFQ6BrTeDmN6KFn04F6th4yk1ussmRtLXVmlf4Jjnl+3VPP6h31HM9xbWvdyUb1NrJ8cw17j5nJzLey+KdKfDw19Gjf+HY7uo+RDXvr2LS/jpxCK5/9bKswn9huAdbvreNYhoWiMivpeRZ+WF+Nv7eGAB/XbQODOmnYcdTK7iSV/FL4cbOFeguntRyeMKCThmNZKhsOWCkohTW7rWQXqfSLd443W6CixvFqyda683W/Kc5vUnn8f+zDDz9Ep9OxdetWFi5cyPz583nvvffsn7/44ot0796dXbt2MW/evNPmz8zMZNiwYRiNRtasWcOOHTu46aabMJvNAHzyySf85z//4emnn+bQoUM888wzzJs3jw8//LDFflOQnxZfLy37kxytgdW1KkkZdbRv1/BJtFYL0W30HDjmmEdV4cCxWuLaNbwDjmqjJ6qNnl93VJ0XuR9Nq2NAVzc83BQUBQZ0NaHXwaFk17Sams11ZB0/QEzCIPs0jUZDTMJAMpJ2n/NyI+J6knxoEwU5KQDkpCWSdnQn7bsOa27KzeI7oAcFazY5TctftR6/AT0AUPR6fHp1pmD1RkeAqlKwZiO+A3q6PJ9AHw0+nhoOpTq6GdbUqqRkmYkJb/gEVKuBdqFap3lUIDG13mkevQ5mXuzJZ6sqKatsmZaXAB/ble7ENLMj/zpIzbEQFdZwJUyrgYgQLYePO+ZRgcPHzUQ3Mg+AyahQU6didcFP0WogPFDhWKbj5FwFjmVaiQxu+PAaGaJxigc4ktF4vFYD/Tpqqa5VyS50fSUgJECHn4+OPYcd+7KqGitHj9cSH+Xapk53kwarVaWy2jUtMRoNhPlBSq7zPzMlV6VtQMNnueEBymnxyTkq4Y3Eexghrg3sSW6hdd9bwcdDw5F0R5nU1MHxXCtRoY2vE22DnedRgSPpFqJCz9Dk5GIn9juJx52325RsC9FtzrzfSTxlu008biamkXkMelvFsqDEQnGZa7YBrQbCAhSSsx3/VxVIzlaJCGp4XWgb5BwPkJSlEhHk/H+KClW4/0odd16iY3J/DW6NtII31/m63xTnv793/0PRoiIiInj55ZdRFIX4+Hj27dvHyy+/zM033wzAqFGjmDNnjj0+NTXVaf7XX3+d/2PvvsOjqvIGjn/v9MxMem+kAEkILUAIhF6l2EDFAorwsjasa13UXcHGWlDEtTdQYbGAiPSioPTeeyCkkN771PePgZlMmNAyMcKez/PcR3Pn3Du/OZxbzj3lent7M3/+fJRKW0UlLi7O/vlLL73EjBkzuOWWWwCIiYnh0KFDfPLJJ9x7r/PYNnfx8bSdxMsrnS8w5ZUWvPWuT4yeWhlyuURZpfMNTVmlhdBA15W2AclasvONHM9w37iv5oz9/fklPHKnL5+8GIrJbMVgtDJzbgl5xe65iauuKMFqMaP38ndar/MKoDDn1BXvt8/I+6mrqeI/L4xEJpNjsZgZfMsTdEq9sakhN4k6OIC6vEKndXV5hSi9PZFp1Ch9vZEpFNTlFzVIU4QuPtbt8Xjpz5adqgZlp8qCt871jZBeKyGXSVQ0qBCWV1kI8Xc8eLh9sJaT2cZmGeN4jpfWFn9FtXMsFVUWvBqL3+Ns/A22Ka+2EtxIC51OIzGip4ZN+93TFKDVgFwmUVnjHENljZVAH9cx6D1wmb5+d0OAhFYy7hqkRKmAimr4YpmBavf1kLfz8bLdBpRVOJ8LSitM+Hq5ryKiVEjcc7M/G3ZVUlPrnjtQrQpkMomqBkO3q2rB38v1NnoNLtPrPFyn7xgjYTDSbF1Wz3XVPK/sVzde9nWNlP2KaivBvn9em8C5+Bqedy7luC2vbnCuqrYQ7Od8S9ovScXo/h5oVBK5RWbe+6EKs5uen2jV545d5/WVNVYCvBqJXePi2K21HdPnnDhj4XAGlFRa8fOUGNxFzt2DJT5fbsbq5iJ0tZ43W8w1OnlNSxCVx/9hPXv2dJp0JDU1lRkzZmA2224ikpOTL7j9nj176Nu3r73iWF9VVRVpaWlMmjTJXhkFMJlMeHt7n5f+nLq6OurqnO+QzKY65ArXj+56dfbg/2527O/try8wS4KbKBWQ2smDRb9VNGk/f2bstw3xRKuRMf2LQiqqLXRL1PDonb688lkhWXmmi++ghRzcvpz9W37h1vvfJii8DbkZR1jx39ftE+f8r0pJVDFuuKNL4X9+aFpZbEynNkrio5S89lWZW/ebnKDkriGOO66PFjVfd9hzNCp4aLSWnCIzSzc3Qy3MzdLOWJi10IBWY2t5HDtEyQeLDOdVfC5Xv2Q9D9wRZP/7tU/ONDHSi5PL4OmJIUjAJ9/nN/v3uVPnWIkDp61uq7R0i1Nw+0DH9ezTX2oukPqvpXs7JWPrjXv7cEFls37ftkMGDqeb8NZLDO2u4b4btbw1rxJT8w0hbLID6Y5KWX6plbwSE0/coiQ62MKp3KbVHsV5U/irEJVHoVE6XePjXQA8PBp5VAtUVtouKp999hk9evRw+kwub/xp9vTp05k2zXnSko59nqRTv6dcpt91uJa0TMfTMMXZCR689DJKKxxXey+9jIwc1y0nFdUWzGbr2dY95xlKG7boAaR08ECtlNiwu2kX/T8r9iA/Odel6nnuvXyy820VxYzcSuKj1AztqeOrn5teMdB6+iLJ5OdNjlNVXoje+8pn5139/Vv0GXkfHXtcD0BwRDylRWf4Y+mnLVp5rMsrRB3s/LvUwQEYyyqw1NZhKCzBYjKhDvJvkMafulznFssrsfeEgVNfOir99rKjk1Fe5SizXjoZmfmu77Qqq62YLVY8Gzyh9tLJKDvbkpAQpSTQV8a7f/d1SvPgaD3Hs0y8M+/KKq3704yk15tZ8dzkDp5ayalrrOfZGWBdxl9zNv4Gk/t4NdgHgFoJk2/RUWuAzxZXY3FTRaC6FsyWc62Gju/Ue0hUVru+Uays4bxWRr3H+a2XRhMUldvG5WXmm3j6dhXd4+Ws29u0O+dt+6s4lp5p//vcpDjennKnWVB9PBWcymr6zeK5imOgn4J/vZ/ttlZHgGoDWCzW8yY40WmgqpHTc2Utl5w+MhACvCR+2uS+7sIHTpk4nVe/7Nvy31MrUV6vzHhqZWQXuP63rmqk7Dfch7vtO2EkPcdxzJ87bhuedy7luLW1mtU7V2ll5x23tQaoNVgoKIVTZ6qY8ag3SW2V7DjS9F4Q1XXnjl3n9XoPicpGHtDYWhkbHOsazmu9rK+kEqpqrfh7Sk2uPF4r582WIl2jk9e0BJGT/8O2bt3q9PeWLVto27btBSt39XXq1Ik//vgDo/H8E3lwcDBhYWGcPHmSNm3aOC0xMTGN7nPKlCmUlZU5Le17PdJo+lqDlbxis33JzjdRWmGmfazjya6HWqJ1hIrjGa67XJjNcOqMkfatHd08JQnat1ZzwkW31AHdtOw6UktFddPOpH9W7Cql7SLRsMuMxWp1Wy8OhUJFWFR7Th12jAO0WCycPLyFiNZJV7xfo6HmvBO+TCbDam3Zq1jplj34D+rptC5gcC9KtuwBwGo0UrbrIAGDUh0JJAn/gamUbtnd5O+vM0BBqcW+5BSaKau0kBDt6AWgUUFMmIKT2a5bls0W24yG7eptI2GrMJ7bZsWWGl75opxXv3QsAN+vrWbO0it/6l1nhMJSi33JLbJNQhXfyvE8U6OC6BB5o68NMVsgM8/stI0ExLVScKreNhoVPHKrDrMZPvm5yq2tFmYLZBdaaRPuKKMS0CZMxul812X0dJ6FNmHOZbptROPp7fuVHBWNpqits5JbaLQvmbkGSspMdIpztCh5aCTaRqk5mt60Zs5zFcfQQCVTP8imsonnzIYsFsgpgehg53yJDpbIauR1C9lFVmIapI8JkVy+nqFzrEROsZX8UreFbCv7ZVb7kltsoazKQttIx3VXrbSNjU1vZKIbswWy8i20jXBsIwFxkXKnyoW71RkbnHcaOW5jQuWcOnPh8058lPNxGx+l4GQj24DjlXnuOAbOxZFTZCU21LE/CVtZaOyVOFkFVmJDnL8/NlQis6Dxcu2lBQ81VNQ0vVJ/rZw3haufqDz+D8vIyODJJ5/k6NGj/Pe//+X999/n8ccfv+TtH3nkEcrLy7nzzjvZsWMHx48f55tvvuHo0aMATJs2jenTpzNr1iyOHTvG/v37+eqrr3jnnXca3adarcbLy8tpaazLamNWbKxi1EBPuiaoiQhW8MBtPpRWmNl52HEjNOX//Bna03GztHxjJQOSdfTt4kFYoIKJN3mjVknnTYgT7CcnPlrFuh3umyinuWPPKTCRW2ji/272JjZCSZCfnBG9dXRorWbnIfe95zF12AR2rv+BPRt/ouBMGku/mYqxroYufWxjXhd+9hxrfpxhT28yGcjJOExOxmHMJiMVpXnkZBymKO+0PU1c0kB+X/Ixx/auo6Qwi8M7V7N55WzadR3qtrjB9qoOr84JeHVOAEAbE4FX5wQ0kbbXCsS/+iSdv3rDnv70p/PRxkSSMP0ZdPGxRD04ltAxIzj13mx7mlMzvyJy0u2E3zMKfUIsHT6YikLnQeachW6N/Zy122sZ2UtDpzZKwgLlTLxBT2mlhT3HHA8e/n6nJwO6Oo6nNdtq6dNZTc8OKkL8ZYwdpkWlgk37bC1O5VVWzhSanRaA4nILRWXurQj8truO4T00dIxVEBYg457hWsoqrew94XiA8+htOvolOR6U/LrTQK+OKnokKgn2k3HHEA1qpcSWg7bfrFHBw7fqUCkl5q6qQaOS8NTaFnc9ONmw30T3eDld28oI9JEY1UeBSgk7j9ny6vYBSoZ1d9yobTxgIi5SRt+OcgK9JYZ0VRAeILH5oC29UgHDkhVEBkn46G0T8tzWT4GXVmLfqea5g1uyvpTbhvnSvYOWVqEqHrs7mOIyM9vqzaQ69eEwRvR1dLPXqCSiw1VEn52xOchfQXS4yj6TqlwGz0wKoXUrNTO/zkMmSfh42iYFu9BrBC7X1iNWurSW6Bgt4e8FI5IllArYd3aCmxt7SAzo5PjH3nbUSmwo9IiX8PeEvh0kQn1hx3Hnm3uVwvYakD1pzT9DyO97jFyXrKJ9jJxQfxl3X6ehrMrK/pOOytTkURr6dHI86Fm3x0hqeyXdExQE+0qMGahGpZDYesixjadWIjxARoC37feHBsgID2j8NSZX4teddYxMVdOpte24vXekjrJKC3vqjZF+/HYd/bs4jtu1O+ro00lFz/ZKQvxk3HWdB2olbD5gO24DvGUM66GmVbAcX0+J2DA5992kw2CycvCU+8ZebzpsoWtbGZ1jJQK84YaeMlQK2H3Cdm4b3VvOkC6O2+Qthy20CZfolSgjwAsGdJYR5i+x7agtvUoB13WTEREg4aOzVUTvGqiguAJOnGmecnS1njeFq5votvo/bPz48dTU1JCSkoJcLufxxx/n/vvvv+Tt/f39+fXXX3nmmWfo378/crmcpKQkevfuDcDf/vY3tFotb731Fs888ww6nY6OHTvyxBNPNNMvslnyRyVqlcT/jfJBq5Fx7LSBN2cXYaz3UDPIT46n1nEHs3V/LV66Mm4d7Im3p5zTOUbenF103kQA/btpKS43s/9E8/T9b47YzRZ46+si7rjOi6fu8UOtksgrMvPJglK3vqOyQ8pIqiqK+W3R+1SWFRAS2Y67//6ZvdtqWfEZpHrzfFeU5vPJVEfX000rvmTTii+Jiu/OxOds73EcOfZFfv1pFku/fZmq8iI8fYLoNuAO+t802W1xA3h360DqWse7IxPffh6AzK8Xsm/SFNShgXhEOt5PV5OexfabHiBxxhSiHx1PbVYu+x94kcLVG+xpcn5YjirQj7iXHkMdEkj53sNsu+FvGBpMouMuK7fWolJJ3D1ch1YjcSLLxKzvKpyeGAf4ytBrHTdDO44Y0GslburrgdfZrk6zvqs4bzKFP8Oa7QbUSom7hnrgoZZIyzbz4ULnJ94B3jKnLp+7jhnRayWu76XBU2t72fUHC6vs8UcGyYk5+y7TqZM8nb7vX5+XU1ze9N+576QFncbE0G5KPLVwpsjKl8sN9q5sPjrJqdU/I9/K/F+NXJesYFh3BYVlVr5ZbSSvxJbIaoVAH4m742zvdayuhawCC5/8YiC/pHn+XX5aU4paJePBO4PQecg4fLKWVz46g9Hk+L6QACVe9Sbuat1KwyuPhdv//r9bbO9q/XVrOf+Zm4+fj4KUjnoA3vlHK6fv++esbA6ecM9Yv8OZtm6r/TtK6DQSeaUwf52FqrOnNm+dhLVeN8PsIli02cKAjjIGdJIoroAfNlgoaNB7v32UhAQczGj+Y2HtLiMqpcQdA9V4qCVO5pj5ZHHN+WVf47ge7T5uQuchMaKH6uyL3i18srjGqftz7w5KhvdwVBoeu9X20HHe6lq2HXHPWPdV2+pQKSXGDtOiVUukZZt4/0fn4zbQR47ew7Fi51Ejem0NN/T2wEsnkZVv5v0fHcet0WSlTYSCQd3UaDW27pQnsky8PbfSreemg+lWdGoLg5Lk6D0gt9jKN2vN9nHF3jqwWh3nm8wCKz/+YWZwkpzBXWQUlcP8dWZ7y7TFCsG+Ep1jZWhUUFFjm4311z1mt42ZbehqPW+2CEm0l7mLZLW6e/4n4WowYMAAkpKSmDlzZkuHclF3v9D8EzoIrl0/0r0v9P6zeQ1IaOkQmmTxK5svnugvSqn6814Z0Bz0ns00v/6f5Nj+rJYO4Yp169X40IarQUHB1TMJjit1tX/dSdQuJij4wnM1/NUVFTZPr6Y/y3+ebHxCxJZW8+3rLfK9Hnc/3yLf25xEy6MgCIIgCIIgCNcumehz6y6iDVcQBEEQBEEQBEG4KNHy+D9q3bp1LR2CIAiCIAiCIDQ7SYx5dBuRk4IgCIIgCIIgCMJFicqjIAiCIAiCIAiCcFGi26ogCIIgCIIgCNcuMWGO24iWR0EQBEEQBEEQBOGiRMujIAiCIAiCIAjXLjFhjtuInBQEQRAEQRAEQRAuSlQeBUEQBEEQBEEQhIsS3VYFQRAEQRAEQbh2SWLCHHcRLY+CIAiCIAiCIAjCRYmWR0EQBEEQBEEQrl0y0V7mLiInBUEQBEEQBEEQhIsSLY+CIAiCIAiCIFy7xKs63EbkpCAIgiAIgiAIgnBRovIoCIIgCIIgCIIgXJTotioIgiAIgiAIwrVLJl7V4S6i5VEQBEEQBEEQBEG4KNHyKPzl5Z4809IhNEltZVVLh3DFdoR7t3QITVL5yuaWDqFJbvpnakuHcMWK1hxt6RCaJL/I0tIhNImpXVhLh3DFykoNLR1Ck7SL17d0CE1y5FhlS4dwxXQ6eUuH0CRmi0dLh3DtEhPmuI3ISUEQBEEQBEEQBOGiROVREARBEARBEARBuCjRbVUQBEEQBEEQhGuXJCbMcRfR8igIgiAIgiAIgiBclGh5FARBEARBEATh2iUT7WXuInJSEARBEARBEARBuCjR8igIgiAIgiAIwrVLjHl0G9HyKAiCIAiCIAiCIFyUqDwKgiAIgiAIgiAIFyUqj4IgCIIgCIIgXLskWcssV+CDDz4gOjoajUZDjx492LZt2wXTl5aW8vDDDxMaGoparSYuLo5ly5Zd0XdfCjHmURAEQRAEQRAEoYV99913PPnkk3z88cf06NGDmTNnMmzYMI4ePUpQUNB56Q0GA0OHDiUoKIgff/yR8PBwTp8+jY+PT7PFKCqPgiAIgiAIgiBcu66SV3W888473HfffUycOBGAjz/+mKVLl/Lll1/yj3/847z0X375JcXFxWzatAmlUglAdHR0s8Z4deSkIAiCIAiCIAjCNcpgMLBz506GDBliXyeTyRgyZAibN292uc3ixYtJTU3l4YcfJjg4mA4dOvD6669jNpubLU7R8igIgiAIgiAIguBmdXV11NXVOa1Tq9Wo1erz0hYWFmI2mwkODnZaHxwczJEjR1zu/+TJk/z666+MGzeOZcuWceLECSZPnozRaOSll15y3w+pR7Q8CoIgCIIgCIJw7ZKkFlmmT5+Ot7e30zJ9+nS3/SyLxUJQUBCffvop3bp144477uCFF17g448/dtt3NCRaHgVBEARBEARBENxsypQpPPnkk07rXLU6AgQEBCCXy8nLy3Nan5eXR0hIiMttQkNDUSqVyOVy+7p27dqRm5uLwWBApVI18RecT7Q8YhtYOnPmzJYOQxAEQRAEQRAEd2uhV3Wo1Wq8vLyclsYqjyqVim7durF27Vr7OovFwtq1a0lNTXW5Te/evTlx4gQWi8W+7tixY4SGhjZLxRH+x1oeZ8+ezRNPPEFpaanT+u3bt6PT6VomqBY0YMAAkpKSLrnivG7dOgYOHEhJScllTQF8pds1xb23hTFyUAB6nYKDRyt578vTZOfWNZq+Y4Ke228IoW2slgBfFf+acYJNO0qd0qz5b7LLbT+dm8n3S/JcfnYlJo2L5sbrQvDUKdh/uJy3PzxOVk5No+nvvi2S/r0CiArXUmewsP9IOR/NPklmtmMblVLikUmtGdw3CKVSxrbdxcz46DglpUa3xQ3Qu4OCAUlKPLUSZ4os/PSHgcx8S6PpO7WWMyJFha+nRGGZlSWbDRzJcB7kPay7kp6JCjzUEqdyLCz4vY7CMqtb467vxr4e9O2sxkMtkZZtYt7KKvJLGv8NAAO6qhnaQ4O3TkZWvpn5q6tIz3E9WP3RMXo6tFbx4YIK9h53T/779Ukm9qlJeHftgCYsiB23TiZv8doLb9MvhcS3/4E+sS21mTmcmP4RWV//5JQm6qGxxD45CXVIIOX7jnDwiVco277fLTE3tOO3uWxZ9QWVZQUERyRw3V3/JDymk8u0BWeOs/7nWeRmHKSsKJuht08hZciE89KVl+Tx28K3SDvwB0ZDDb6BUdww4XXCoju6NfaDm+ey7/cvqaksxC8kgV43vUBQpOvYAU7uX8GO1bOoLMnGyz+KlOFP0Sqhv/3z6opCtq2YQfbxjdTVVhAanUyvm17AOyDarXGf06u9ggFJCjy1EjlFFn7aYLzwcRsrZ3iK0n7cLt1i4EiGI32HGDmp7RVEBMrQaSTe+b6GM0XNd8ymtpfTP0mBp4dETpGVnzcayMxv/Ps6xsoY1t0R//KtRnv8MhkM664goZUcfy+JWgMczzKzfKuR8mr3x77n97nsWPsFVeUFBIYnMPC2fxIa7brsFOYcZ9PSWeRnHqS8OJsBt0yh68AJje5726pP2fDLDLoMGM/AW19wf/BnDU9RkdpegUYtkZ5j5od1Fz9H9+6oZFCXs9eKQgsLf68jo16ZU8jh5t4qusQpUcjgSKaZH9fVUVnj3nJ0aPNc9v/hOHZTb3yBwAscu6f2r2Dn6llUltqO3e7DnyIy3nHsGuuq2L7yHU4fWktddSmevhEk9rqbdj3udGvc5/RIkNGngxy9B+QWW1my1Ux2YeN51D5KYkhXBT56KCq3smqHmWPZrtPflConJV7O0m0mNh+68DVQcJ8nn3ySe++9l+TkZFJSUpg5cyZVVVX22VfHjx9PeHi4vevrQw89xH/+8x8ef/xxHn30UY4fP87rr7/OY4891mwxXjMtjwaD4Yq3DQwMRKvVujEaoSXdcWMIo4cH8d4XGTzyz8PU1pn59z/iUCqlRrfRqGWczKjm/S8zGk0z5sE9TstbH5/CYrHyx7YSt8U+7tZIbrshnLc/PM79T++mptbMOy93RHWB2Lt08GHh0jM88Mxu/v7PfSjkEu++3AmN2nF4P/q3NvRO8eefbxzi0Sl7CPBT89qU9m6LGyCpjZybeqtYtcPIuz/UcKbQwv03aNB7uE4fHSLj7qFqth428c4PNRw4ZWLiCDUhfo7fOrCLkr6dlPy43sB7C2owmKzcf4MGhdz1PptqWA8Ng7qpmbuyin9/XU6d0cpjd3he8PuSE1TcNkjL0g01vPZVGVn5Jh67wxNP7fn/ZoO7q2mOW2i5Tkv5vqMceGzaJaX3iI6g++JPKFq3lQ3JN3Pq/Tl0/ORVAob2sacJHTOCdm9N4firH7AhZTQV+47QY+kXqAL93B7/oe3LWPPDdPre8DCTXvyJoMgE5r83iaryIpfpbRXBCAaOfgqdV6DLNDVVZXz95l3I5ErueOwzHpi2lCFjnsND6+3W2NP2LWPL0jfoOvhhRj+yAP/QeJZ/eR81la5jzzu9m1/nP0188q2MfnQh0YmDWf3toxTnHgPAarWy+ptHqCjO5Lp7PuCWRxei9w1j2Rf/h9Hg/tpL59ZybuqtZPUOIzN/rOVMkZX7blA3etxGBcsYN1TFtiMm3v2hlgOnzEwY7nzcqpSQnmNm6ZYrvy5fTvw39lKyZoeJ9xbUkVNkYdL1anSaxuMfO0TF9iNm3vuxjoPpZsYPUxHsa4tfpYDwQBlrd5l478c6vl5ZR6CPjAnDXbcUNMXRnctY/9N0eo54mLuf/YnA8AQWfjiJ6grXZcdkqME7III+NzVe7s/JPb2PfRvnExAW7/a46xvUVUm/zkp+WFfHzB9qqDPCgzd5XPCcmdRGwag+KlZuNzDju2rOFFl44CYP9B6OMjSqj5r2MQpmL6/lPz/V4K2T+L+RjfyjXqGT+5axddkbdBn8MDc/vAC/0HhWfHXhY/e3754mLvlWRj2ykKjEwaypd+wCbF32BlnHNjDg9je59e9Lad97PJt/eZXTh391a+wAHaJljOgu57c9Zj5cbCS32MqEoYpGy35koMTt/RXsPGZLfzjDythBCoJ8zr9WtWslERkoUV7VfA99/nQtNObxct1xxx28/fbb/Otf/yIpKYk9e/awYsUK+yQ6GRkZ5OTk2NNHRkaycuVKtm/fTqdOnXjsscd4/PHHXb7Ww12u2srjgAEDeOSRR3jiiScICAhg2LBhvPPOO3Ts2BGdTkdkZCSTJ0+msrISsLV+TZw4kbKyMiRJQpIkpk6dCpzfbVWSJD7//HNGjx6NVqulbdu2LF682On7Fy9eTNu2bdFoNAwcOJA5c+YgSdJ5rZqN2bhxIwMGDECr1eLr68uwYcMoKbFVQurq6njssccICgpCo9HQp08ftm/fbt929uzZ57XgLVq0CKleIZ06dSpJSUl88803REdH4+3tzZ133klFRQUAEyZMYP369bz33nv2/EhPT2803vT0dAYOHAiAr68vkiQxYcKEi8Z7oe2ayy0jgpj7Uw6bdpZyKqOGNz5Mx99XSe9kn0a32b63nK++P8PGBq2N9ZWUmZyWXt182HOogpx8990gjbkpnK+/P82GrUWkpVfx6rtH8PdT07dnQKPbPDV1P8vX5nEqo5oT6VW8PvMoIUEa4tt4AqDTyrlhaAjvf57Grn2lHE2r5PX3jtAp0Zv28Z5ui71fZyVbDpnYfsREXomVBesNGE1WUhKULtP37aTkaIaZdXuM5JdYWbHNSHaBhd4dHen7dVKwZqeBg+lmcoqs/HdtHV46iQ4xzVN7HNxdw7JNtew9biS7wMxXS6rw0ctIimu868eQFA0b9taxab+BnCILc1dUYzBCr07ON5sRQXKGdvfg62VVbo+7YOXvHHtpJnk/r7mk9FH330nNqSwOP/sGlUdOcvrDueQuWEnM4xPsaWKemEjmF9+TNWchlYfT2D/5JczVtUROuNXt8W9d/RVJfW6nc+9bCQxrw8hx01CoNOzduMBl+rDoTgy+7Tnap1yPQun632bzys/w8g3hxgnTCY/phE9AJLHt++Ab1Mqtse//Yw4J3ccQn3wLvsFt6DNqKgqVhqM7FrpMf2Dj10S07UPnfpPwDWpN8nWPExDWjoOb5wFQVphOfuZeeo96icDIjvgExtDn5pcwGetI27vUrbED9O+sYOshE9uPmh3HrdFK9wTXHZP6dlJwNMPCuj0m8kutrNxuJLvQQu8OjvS7jplZvdPE8azmb63o20nB1sNmdhw1k19iZeHvRowmGo2/T0c5xzItrN9ri3/VdhPZhVZ7/LUG+HyJgX1pZgrKrGTkW1m0wUBEkAwf/eXfCF7Izt++okPq7XToeSv+oW0Ycoet3B/Y7Lrch0R1ov+o50jodj1yRePnJENdFcvmPMPQu15F4+aHJQ3176xk1Q4DB06ZySmyMG9NLV46iY6xjXdsG5CkZPNBI9sO264VP/xWh8FkpUc72zYaFfRIVPDzhjpOZJvJKrDw3zW1xITKiQp2323rgQ1ziO8+hrhutmO39822Y/fYTtfH7sFNtmO3U79J+AS1ptvQx/EPa8fhLfPsafJO76Zt15sJjU3B0zechJTb8QuJpyBzn9viPqd3exk7jlnYdcJCQRks3mzGaIJubV3nUa9EGcezrWw4aEu/dreZnGIrPds5p/fUwg09FPzwuxnzNVR3vJo88sgjnD59mrq6OrZu3UqPHj3sn61bt47Zs2c7pU9NTWXLli3U1taSlpbG888/7zQG0t2u2sojwJw5c1CpVGzcuJGPP/4YmUzGrFmzOHjwIHPmzOHXX3/l2WefBaBXr17MnDkTLy8vcnJyyMnJ4emnn25039OmTeP2229n3759jBw5knHjxlFcXAzAqVOnuO222xg1ahR79+7lgQce4IUXLr1LyJ49exg8eDCJiYls3ryZDRs2cOONN9rfyfLss8+yYMEC5syZw65du2jTpg3Dhg2zf/+lSktLY9GiRSxZsoQlS5awfv16/v3vfwPw3nvvkZqayn333WfPj8jIyEb3FRkZyYIFtgva0aNHycnJ4b333rtovBfarjmEBqnw91Wx60C5fV1VjZnDaVUkttW77Xt8vBX06OLNit8K3bbPsGANAX5qtu9xtGRWVZs5dKycDglel7wfnc52wiivsHWJjG/jiVIpY8dex34zsmrIza+l/WXs90LkMogIlHE8y9FV0wocyzITFeL6NBMVLONYlnPXzqOZZqLP3hz4eUl46WQcy3TcgNYaICPPQlSI+0+KAd4yvPUyDqc7upLW1lk5dcZEbLjrGyG5DFqFyJ22sQJH0o1O2ygVMOkmPf9dXfWXeJLr0zOJwl+d3xlVsHoDvj2TAJCUSry7tqdw7SZHAquVwl834dOzi1tjMZsM5GQcJKZdL/s6SSYjpl0vsk7uvuL9Ht/7K6FRHVjw8WO8+1Qqn78yit1/fO+OkO3MJgOFZw4S3sYxFkWSyQhvnUp+xh6X2+Rl7HVKDxDRto89vcVsK0sKhePhgySTIVeoyE3f5db45TJbK9uxepU8K3A829LoTXpUsIzj2Q2PWwtRwc13o9IYW/wSJxqcd45nmRuNv1Ww83kK4FimmVYXqJRoVBIWq5WaOvcdu2aTgbzMg0TFO5f7qPhe5KRfebkH+PX7l4lt35+ohF4XT9wE/vZztCM/aw1wOs9CdCPnfbkMIoKct7H/m509r0cEylHIJY7WS5NfaqW43EK0m879547dsAbHbtgFjt38jL1O6cH52AUIjupCxuHfqCrLw2q1ciZtK+WF6YS37e2WuM+RyyDMXyItx/nYTcuxEBnoOu8jA2VO6QGOZ1uJDHQ8FJGAMX0VbDhgJr+05a9Vwl/TVT3msW3btrz55pv2v+PjHd0zoqOjefXVV3nwwQf58MMPUalUeHt7I0lSozMW1TdhwgTuuusuAF5//XVmzZrFtm3bGD58OJ988gnx8fG89dZb9u89cOAAr7322iXF/eabb5KcnMyHH35oX9e+va0LYVVVFR999BGzZ89mxIgRAHz22WesXr2aL774gmeeeeaSvgNsg2xnz56Np6etdemee+5h7dq1vPbaa3h7e6NSqdBqtZeUH3K5HD8/W3e1oKAge8vnpcTrarvGuHofjsVsQCa/tEG/vt62VquSMpPT+tIyI34+rlvArsR1/QKorrXwx3b3dVn187X9xobjEEtKDfbPLkaS4LH72rDvUBmnMmxd3Px9VRiMFiqrnG+YiksN+Pu4ZzC1TiMhl0lUVDtfbCprrAT5ur6QeWolKhukr6i24qm1pfc62+2zosEYl4oaq/0zd/LS2763vMr54lpeZcFb5/r79Nqzv7tBhbC8ykKIv6O83T5Yy8lso9vGODaVOjiAujznBx91eYUovT2RadQofb2RKRTU5Rc1SFOELj7WrbFUV5ZgtZjRefk7rdd5+lOUc/KK91tSkMnO9f+lx9CJ9B75IGfS97Nq/qvI5Uo69Rrd1LABqK0uxWox46F3jt3D05/SglMut6mpLMRD79yTwEPvT02l7d/DJzAGvU8o21a+S9/RU1EoPdi/cQ5VZblUVxS4Je5zzh23DceRVVRbCfJp/Lg97zivtrrspt3cdBpsx1+DIeGVNReOv9JF+sbiV8hhZE8le0+YqXPj4VtTZSv32gblXuvpT3HelZf7IzuXkpd5iHHP/NjUEC/qXJ41PI9XVlsazU+dx9lz5gXKnJdOwmS2UtugU0/FBf6dLlejx67en7LLOHY1en+qKxzn0tQbX2TDT/9i/hsDkGQKJEmiz+iXCY3p7pa4z9GqOXvsOq+vrIGARhqb9R5Q5arseziOlb4dZVgssPnwNTjGUXZVt5f9pVzVlcdu3bo5/b1mzRqmT5/OkSNHKC8vx2QyUVtbS3V19WWPaezUyTFgWqfT4eXlRX5+PmBrQeve3flEkJKScsn73rNnD2PGjHH5WVpaGkajkd69HU+plEolKSkpHD58+HJ+AtHR0faKI9im8z33G9zFnfECTJ8+nWnTnMdtxbS/j9iO97tMP6i3H3//W5T97xfePH7Z33klhvf359eNRRiNV/5kbmj/IJ55OM7+97MvN30ikicfbEtsKx2Tn2vak+v/BSmJKsYNd0yU9Z8fKprlezq1URIfpeS1r8qaZf+Ca1arldCoDgwcbZsiPaRVIgVnjrPr9/luqzw2B5lcyZC73+f3BS/y9cs9kWRywlunEhnXt1nGywqNk8ng7qEqJGDh73+NBz8XUlGSw7oFr3Hrw1+iULp/jGbXOAW3D3Ds97MljU/k9r/q0OZvKcjcy9B7PkTvE0Zu+g42L34FrVcQ4W2atyW4qcL8JVIT5Xy4+K9f1oWWdVVXHuvPkJqens4NN9zAQw89xGuvvYafnx8bNmxg0qRJGAyGy648KpXOrVSSJDlNg9sUHh6NzERwiWQyGVar822E0Xj+wd6cv6G5uHofzqi/HWg0/eadpRw54RhDdm5SHF9vBcX1WvB8vJWkpbtnsokO8XpahXvw6qwrfzoMsGFbEYeO7bD/rVLanor5+igpKnE8cvX1UXHiZOVF9/f3B9rQq7sfj0zZS0GRY/uiEgMqpQy9Tu7U+ujno6Ko1D3jNatqrZgt5z8V1nuc30pxTkW1FX2D9LZWDVsZLT+7nWeDfXh6SGQXNb0c7z1h4NSXjhZqhcIWi5dORnm9fPLSycjMdz1zamX12d/doGXSSyej7GwLZkKUkkBfGe/+3dcpzYOj9RzPMvHOvOaptF5IXV4h6mDnJ+jq4ACMZRVYauswFJZgMZlQB/k3SONPXa77umoDaPW+SDL5eZPjVFUUofNufKzvxei9AwkIa+20LiAkliO7Vl7xPhvSaH2QZPLzJtioqShC6+k6dg99gL2V0Z6+ssipRSMwvD23PvYThtoKzCYjHno/Fn1wB4ER7p3k6txxW3+iErAdh+UXOG7PO85dtEb+GapqsR1/DS6pFz3vXEL6cxVHH73Ep7/UubXVEcBDZyv31Q3KfXVFETqvKyv3eRkHqa4o4ts3b7Gvs1rMZKVtZ8/vc3n83f3IZFfe7fPgKRNv5znOhQq5rRzoG5QXvVbGmULX58yqmrPnzAuUufIqKwq5hEaFU+tjw2tBUzR67FYW4XEZx25tpeNYNxlr2bFqJoPHzaJVwgAA/ELjKco5zP4/vnJr5bG6jrPHrvN6vQfntUaeU1kDOldl/2wrcFSwhE4DT49x3DvKZRIjkuX0SpQz48eru1JpvYLJawTXrpk23J07d2KxWJgxYwY9e/YkLi6OM2fOOKVRqVT2cYVNER8fz44dO5zW1Z/Q5mI6derk9A6X+lq3bm0fx3mO0Whk+/btJCYmArbZYSsqKqiqclSa9uzZcxm/wOZy8+Pc+2Lqb3Mp8brarjGu3odzoS6rNbUWzuTV2ZfTWbUUlRjo0sExlk/rIaNdax2Hjl+8AnYpRgwM4OjJKk5mNO2pa02NmeycWvtyKqOawuI6kjs7KhlaDzmJcV4cOFJ+gT3ZKo79UgN4/IV95OTVOn129EQFRqOFbvX2GxnuQUiQhoMX2e+lMlsgq8BC23DHjYkEtI2QczrXdUXvdJ6FthHONzJxkXLS82zpi8utlFdZaBvhOE2plbYxS6dzm34c1xmgoNRiX3IKzZRVWkiIdlw4NSqICVNwMtvkch9mC2TkmmlXbxsJW4Xx3DYrttTwyhflvPqlYwH4fm01c5a6f/KcS1G6ZQ/+g3o6rQsY3IuSLXsAsBqNlO06SMCgeuN7JAn/gamUbnFvq7ZcoSK0VXvSjzjGYFotFtIPbyYi9srHV0a26UpxrnP3s+K8dLz9wq94nw3JFSoCwtqTnbbFvs5qsXAmbQtBrZJcbhPcqjNn6qUHyDqxyWV6lcYTD70fZYXpFGYfIKrdYLfFDrbym13gfIxJQJtwGafzLnDchjc4biNknM5r+jF5uWzxW2nT4LzTJlzeaPwZeRan9ABtI2Rk1Et/ruIY4C3x2ZI6qht/y9MVkytUBEe2J+OYc7nPOLaZ0OgrK/et4nsyfsov3PPcIvsS3KoD7ZJv5J7nFjWp4ghQZ4TCMqt9yS22UF5lIa7eeVyttI2LTW/kvG+2QFa+hbhIV9cKWxnKKjBjMlud0gT6SPh5yUh3w7kfHMduzolLP3aDXBy72fWOXYvZhMVsRJKcb60lSY7V6t4H92YLnCmyEhvqfOzGhsrILHD9XZkFFlqHOsfWJkwis8BWedyTZuE/P5v4YLFjKa+yTbAzZ9XVXXEU3OuaqTy2adMGo9HI+++/z8mTJ/nmm2/4+OOPndJER0dTWVnJ2rVrKSwspLr6ylqiHnjgAY4cOcJzzz3HsWPH+P777+0zH0mX8GRjypQpbN++ncmTJ7Nv3z6OHDnCRx99RGFhITqdjoceeohnnnmGFStWcOjQIe677z6qq6uZNGkSAD169ECr1fL888+TlpbGvHnzzpt56VJER0ezdetW0tPTKSwsvGirZFRUFJIksWTJEgoKCqisrLykeF1t15wWLs9n3KhQUrt5ExPpwXMPxVBUYnSaSfXNF+K4+TrHVOcatYzWUR60jrI9lgsNVNM6yoMgf+eKq9ZDRr8evix340Q59f2wOJt772hF7xR/YqN0vPhkAkXFdfyxxfF9M1/txC3Xh9n/fuqhNlw3IJhpbx+musaEn48SPx8lKpXt8K6qNrNkdS6PTmpNl44+xLfW8/zj8ew/XMbBo+5r9fp9r5EeiQqS4xUE+Urc2l+FSiGx7YjtonPXYBUjezoqWX/sM5IQKad/Z9tU4dd1VxIRKGPjfsdF6vd9JoZ0U9E+Wk6In8TYwWrKq6wcONU8N6prt9cyspeGTm2UhAXKmXiDntJKC3uOOR5///1OTwZ0dXTdWrOtlj6d1fTsoCLEX8bYYVpUKti0z3bHWV5l5Uyh2WkBKC63UFTmnhsKuU6LV+cEvDonAKCNicCrcwKayFAA4l99ks5fvWFPf/rT+WhjIkmY/gy6+FiiHhxL6JgRnHpvtj3NqZlfETnpdsLvGYU+IZYOH0xFofMgc47rmQibosfQiez+43v2bfqJwpw0ls+ditFQQ6fethaUxV8+y28LZ9jTm00GcjMPk5t5GLPJQEVpHrmZhynOP21PkzLkXrJP7mXjso8pzj/Nga2/sPuP70keONatsXfsey9Ht//AsZ2LKMlPY8PP0zAaaojrZusa+9v3z7FtxTv29B16jyfz2Ab2/fEVpfkn2bnmPxRmH6R9qiOuk/tXcObkNsqLM0k/tJZlX0wiKnEwEXHunXQDYP1eEz3aKUiOlxPkI3FLPyUqpcT2I7aHH3cOUjGiR/3j1kR8pIz+nRUE+khcl3z2uD3geMDiobZ1gTv3+otAHxlh/tJ5LYTu8Mc+Eynt5HSLs8U/up8SlRJ2HLXFc8dAJcNTHJ2sNuw3Ex8po18nW/xDkxVO8ctkcM9QFRGBEv9da0CSbK05eg/bJCXu1G3gRPZv+p6DW3+iKDeNNd9PxVhXQ/uetnK//Otn+WOxc7nPzzpMftbZcl+WR37WYUoKbOVepdETEBbntChVWjQ6HwLC4lzG0FTr9xoZmmw7R4f6yxg3VEN5lZX9Jx3l4aGbNfSpN4v2uj1GeiYq6Z5gu1bcNkCNSiGx9bBtm1oDbD1k4ubeatqEy4kIlHHXYA2ncsyNPhS4Eh363MvRHT9wfNciSvPT2PjzNEyGGuK62o7d9T88x/aVjmO3fa/xZB3bwP6zx+6us8duu562Y1el0RMS051ty98i5+Q2KoqzOLbzJ07s/pnoxCFui/ucjQctJMfJ6NJaRqC37b2MKgXsPG7Lo1v7yBna1VEB33TIQttwid7tZQR4w6AkOWH+ElvOjm+sqbNNTFR/MVttY00L3fOcWbhGXNXdVuvr3Lkz77zzDm+88QZTpkyhX79+TJ8+nfHjx9vT9OrViwcffJA77riDoqIiXnrpJfvrOi5HTEwMP/74I0899ZR91tIXXniBhx56CLX64uMM4uLiWLVqFc8//zwpKSl4eHjQo0cP+wQ9//73v7FYLNxzzz1UVFSQnJzMypUr8fW1tRz5+fnx7bff8swzz/DZZ58xePBgpk6dyv33ux4X2Jinn36ae++9l8TERGpqajh16hTR0dGNpg8PD2fatGn84x//YOLEiYwfP57Zs2dfNN7Gtmsu3/2Si0Yt4+9/i0avlXPgaCX/+Pcxp/GJYcFqvD0dF7P4WB0z/uWYcOmh8baZZ1euL+Stj9Pt6wem+iFJ8NvGy5v59lLNXZCJRiPn2Ufi0OsU7D9UxlMv7cdQL/bwEA98vByxjx5pa0n5z/Qkp329NvMIy9fmAfD+5yewWlvz2pRElEoZ23YVM+Mj944P3XPCjE5jYFiKEi+tiuxCC58tqbV3ofHRy5yevqbnWvh2TR0jUlSM7KmioNTKV8vryC12/NbfdhtRKeC2ASo8VBKncix8uqQWUzM1cqzcWotKJXH3cB1ajcSJLBOzvqtw+r4AXxl6reMucscRA3qtxE19PfDSycjKNzPru4o/tRufd7cOpK79xv534tvPA5D59UL2TZqCOjQQj7MVSYCa9Cy23/QAiTOmEP3oeGqzctn/wIsUrt5gT5Pzw3JUgX7EvfQY6pBAyvceZtsNf8PQYBIdd0jsPpKqimLWL55FVXkBwRHtuPOxz9Gf7b5XVpzj9DS/ojSfL14ZZf97y6ov2bLqS1rFpXDP07Z8CIvuxG2T/8NvC9/hjyUf4BMQwdA7nqdDj5vcGnvrTiOprSxh55pZVFcU4h/ajhETP7V3ZasqdY49OKoLg+58ix2r3mP7ynfxDohi6N3v4xfiuLmvLi9gy9I3qDnbJa5tl5vpMught8Z9zt40M3oPI8O6O17Y/vmSOvtx66uXqD9K4nSehblrDAzvoWREDyWFZVZmr3A+bttHy7lzkONaeM91tv9ftd3Iqh3ubcHYm2ZGp4HruivOxm/li6WO+H08JaexoqfzLMxba2B4ipLhPRQUlln5eqWBvBJbKm+dRPuzrwL6+xjnF+Z9vLiOk2fcV3mJ7zaS6spiNi2dRXVFAYHh7bhl8uf2bqsVJc5lp7Isn2/fGGX/e+faL9m59ksi2qRw++PfNNz9n+LXXUZUConbB6rxUEucyjHzyS81zudMbxk6D0e+7TlhQu8hMTxFhZdOIrvAwie/1DhN3LRoQx1Wq4oJI2zv9T2aYebH9e5tAo7tNJLaKtuxW3P22B028VN7t9VKF8fuwDveYufq99ix6l28/KMY0uDYHXjnDHasfJd13z9DXXUZep8wul33BAk97nRr7AAH0i3oNDC4ixy9h5ycYitzVpuoOtv5yEcvYa1X+jMLrHy/3sSQrgqGdpVTVG5l3q+m/51ZVaVrpr2sxUnWhoPnhCvy2muv8fHHH5OZmdnSoVxzhty14+KJ/sJqK1uma6I79BiR3NIhNElleTP0N/sT3fTP1Isn+osqWnO0pUNoknw3jKttSbkNuq9fTWRX+dik1rHN0MT6JzpyrHl7BzWn0NDLm9/ir6a8wvUQiavFqxPcM4N7c6j5bW6LfK/HwHEt8r3N6Zppefyzffjhh3Tv3h1/f382btzIW2+9xSOPPNLSYQmCIAiCIAiCUJ9oeXQbkZNX6Pjx49x8880kJibyyiuv8NRTT9m7wI4YMQK9Xu9yef3111s28At48MEHG437wQcfbOnwBEEQBEEQBEFoQaLl8Qq9++67vPvuuy4/+/zzz6mpcT0Tp5+fX3OG1SQvv/wyTz/9tMvPvLy8XK4XBEEQBEEQBOF/g6g8NoPwcPdNBf9nCgoKIigoqKXDEARBEARBEAS3Ee95dB/RbVUQBEEQBEEQBEG4KNHyKAiCIAiCIAjCtUtMmOM2IicFQRAEQRAEQRCEixItj4IgCIIgCIIgXLvEmEe3ES2PgiAIgiAIgiAIwkWJyqMgCIIgCIIgCIJwUaLbqiAIgiAIgiAI1y6ZaC9zF5GTgiAIgiAIgiAIwkWJlkdBEARBEARBEK5ZVjFhjtuIlkdBEARBEARBEAThokTlURAEQRAEQRAEQbgo0W1VEARBEARBEIRrlyTay9xF5KQgCIIgCIIgCIJwUaLlURAEQRAEQRCEa5ZVtDy6jag8Cn954W0jWjqEJrFarS0dwv8spUre0iE0SdGaoy0dwhXzHxLf0iE0Sc5/D7d0CE2i8bh6L+8mo6WlQ2iStJM1LR1Ck8hkV++slCbT1X29ra0xtXQITaRq6QCEP8HVe3URBEEQBEEQBEG4GPGqDrcRbbiCIAiCIAiCIAjCRYnKoyAIgiAIgiAIgnBRotuqIAiCIAiCIAjXLDFhjvuInBQEQRAEQRAEQRAuSrQ8CoIgCIIgCIJw7RIT5riNaHkUBEEQBEEQBEEQLkpUHgVBEARBEARBEISLEt1WBUEQBEEQBEG4dokJc9xG5KQgCIIgCIIgCIJwUaLlURAEQRAEQRCEa5ZVTJjjNqLlURAEQRAEQRAEQbgo0fIoCIIgCIIgCMK1S4x5dBuRk4IgCIIgCIIgCMJFicqjIAiCIAiCIAiCcFGi26ogCIIgCIIgCNcsK2LCHHf5n215jI6OZubMmS0dhiAIgiAIgiAIwlXhmm95nD17Nk888QSlpaVO67dv345Op2uZoFrQgAEDSEpKuuYrzqMH6RnQzQOtRsbxDANzfiknr9h8wW0Gp2gZ0VuHt15GZp6Rb5dWcDLb6JSmdaSS2wbraR2hxGKBjFwTb31djNHkvthvGaRnQLLWHvvsxWWXFPvIPjq89XIyc418s7TcHnuAj5x3ngpyud3780vYfrDWbbH37qBgQJIST63EmSILP/1hIDPf0mj6Tq3ljEhR4espUVhmZclmA0cyHL+1Y6yc1PZKIgJl6DQSM76r4UxR4/tzh+t7qenVQYWHRuJktpnv1tZQUHrh7+zXWcXgZDVeOonsAjM//FbL6Vzb79BqJK5PVZMQpcDXS0ZltZV9aUaWbKyl1uC+uHf8Npctq76gsqyA4IgErrvrn4THdHKZtuDMcdb/PIvcjIOUFWUz9PYppAyZcF668pI8flv4FmkH/sBoqME3MIobJrxOWHRHt8Xt1yeZ2Kcm4d21A5qwIHbcOpm8xWsvvE2/FBLf/gf6xLbUZuZwYvpHZH39k1OaqIfGEvvkJNQhgZTvO8LBJ16hbPt+t8Vd36Etcznwx5fUVBbiG5JA6g0vEBjpOu8BTu1fwa41s6gszcbLP4rkYU8RGd/f/rmxroodK9/h9OG11FWX4ukbQWLq3ST0uLNZ4u+RIKNPBzl6D8gttrJkq5nsQmuj6dtHSQzpqsBHD0XlVlbtMHMs23X6m1LlpMTLWbrNxOZDzXPs9kyU07+TAr0H5BRbWbzJSFZB4/F3jJExNFmBr16iqNzK8m0mjmbaYpNJcF13BQmRMvw8JWoNcOKMheXbjFRUuz/21PZy+icp8PSQyCmy8vNGA5n5F4g9Vsaw7kr7OXP5ViNHMhz52iFGRs9EBeFnz5nv/lBLTlHj+2uqq/2c362NRI8ECb0G8kph1S4LOcWNp0+IgP4dZXjroLgCfttnIS3H8fnzd8hdbrd2j4WtR93/79CrvYIBSQo8tRI5RRZ+2mC8cP7Hyhme4ig/S7cYGpQfOantFfb8f+f7Gs40Y/n5M1nFhDluc1XnpMFw5XdegYGBaLVaN0YjXKqm/LtdipF9dAztoWX2L+W8/GkRdQYrT4/3RXmBRyUpHTTcNdyTn9dV8tLHhWTmmnh6vC+eOsch0jpSydP3+HIgzcC0T4qZ+kkRa7ZWY3XjefX6vjqG9tQxe3EZ0z4ppM5g5Zl7/S4Ye48OGsaO8GLRb5X866NCMnJNPHOvnz32ojIzj76R57QsWFtBTZ2Ffcfr3BZ7Uhs5N/VWsWqHkXd/qOFMoYX7b9Cg93CdPjpExt1D1Ww9bOKdH2o4cMrExBFqQvwcXUtUColTOWaWbm7eMnPOkO4q+iepmb+2hrfnVWIwWnn4Fh0K1/cDAHSNUzK6v4blW2p549tKsgssPHyLDr2H7Xd46yS89TJ++r2W1+dU8u3KahKjFYy7zn3nn0Pbl7Hmh+n0veFhJr34E0GRCcx/bxJV5UUu09sqghEMHP0UOq9Al2lqqsr4+s27kMmV3PHYZzwwbSlDxjyHh9bbbXEDyHVayvcd5cBj0y4pvUd0BN0Xf0LRuq1sSL6ZU+/PoeMnrxIwtI89TeiYEbR7awrHX/2ADSmjqdh3hB5Lv0AV6OfW2AFO7lvGtmVvkDToYW56eAF+IfGsnH0fNZWu8z7v9G7Wff80ccm3cvPDC2nVbjBr5z5KSd4xe5qty94g6/gG+o95k1ueWEpir/FsXvIqGYd/dXv8HaJljOgu57c9Zj5cbCS32MqEoQp0GtfpIwMlbu+vYOcxW/rDGVbGDlIQ5HN+l7B2rSQiAyXKq5rv5rNTrIwbeipYs8vE+z8ZyCmyMGmEqtH4WwVJ3DlIyY6jZmb9ZOBguoV7hioJ9rXFr1RAuL/E2t0mZv1k4Js1BgK8Je69TuX22Du3lnNjLyVrdph4b0GdLfbr1Y3GHhUsY+wQFduPmHnvxzoOppsZP0xljx1s58z0XAvLtxhd78SNrvZzfrtIicFJEhsOWvlylYX8Uit39pehVbtOH+4Po1Jl7Dlp5YuVFo5lW7mtt4zAeqfE9342Oy1LtlmwWq0czXL/MdC5tZybeitZvcPIzB9rOVNk5b4b1I3mf1SwjHFDVWw7YuLdH2o5cMrMhOEN8l8J6Tlmlm75c665wtXpqqo8DhgwgEceeYQnnniCgIAAhg0bxjvvvEPHjh3R6XRERkYyefJkKisrAVi3bh0TJ06krKwMSZKQJImpU6cC53dblSSJzz//nNGjR6PVamnbti2LFy92+v7FixfTtm1bNBoNAwcOZM6cOUiSdF6rZmM2btzIgAED0Gq1+Pr6MmzYMEpKSgCoq6vjscceIygoCI1GQ58+fdi+fbt929mzZ+Pj4+O0v0WLFiHVe+np1KlTSUpK4ptvviE6Ohpvb2/uvPNOKioqAJgwYQLr16/nvffes+dHenp6o/FaLBYiIiL46KOPnNbv3r0bmUzG6dOnASgtLeVvf/sbgYGBeHl5MWjQIPbu3XteXJ9//jkxMTFoNI1cGd1kWKqWX36vZPeROjLzTHy6sAwfTzldExr/3uG9tKzfWc0fu2s4U2Bm9i/lGIxW+nV1nIXHDvdk9ZZqlv5RRXaBidwiM9sO1mK6cKPgZcauY/H6Snadjf2TBaW22NtdKHYd63aci93E7F/KqDNa6X82dqsVyiotTktyooZtB2qpM7jvgtavs5Ith0xsP2Iir8TKgvUGjCYrKQlKl+n7dlJyNMPMuj1G8kusrNhmJLvAQu+OjvQ7j5lYvcPIsSw3ZvIFDOyiZuXWWvanmThTaOHrFdV46yU6t3H9GwAGdVOx6YCBLQeN5BZbmL+mBoPJSmoH281mTpGFz3+p5sBJE4VlFo5lmvllQy0dYhXI3DQEY+vqr0jqczude99KYFgbRo6bhkKlYe/GBS7Th0V3YvBtz9E+5XoUStc3xZtXfoaXbwg3TphOeEwnfAIiiW3fB9+gVu4J+qyClb9z7KWZ5P285pLSR91/JzWnsjj87BtUHjnJ6Q/nkrtgJTGPT7CniXliIplffE/WnIVUHk5j/+SXMFfXEjnhVrfGDnBg4xzik8cQ1+0WfIPa0PvmqSiUGo7tXOgy/aHNXxPRtg8d+07CJ6g13YY+jn9YOw5tnmdPk5+xm7ZdbiY0NgVP33ASUm7HLySegqx9bo+/d3sZO45Z2HXCQkEZLN5sxmiCbm1d3x70SpRxPNvKhoO29Gt3m8kpttKznXN6Ty3c0EPBD7+bMTdjw0Wfjgq2HTGz85iZ/FIrizaYMJggOd71E5/eHRQcy7Lw+z4zBaVWVu80cabQSmp7W/o6I3yx3Mj+kxYKy6xk5ltZvNFIRKCttcmd+nZSsPWwmR1HzeSXWFn4uxGjCbonuH5a2KejnGOZFtbvNZFfamXVdhPZhVZ6d3Ck33XczJqdJo5nN28PDbj6z/kp8RJ7TlrZd8pKYTks32HFZILOMa5PzN3jJNJyYetRK0UV8PsBK7mlttbLc6pqnZe2YRKn86G0yv3x9++sYOshE9uPmh35b7Q2Wn76dlJwNMPCuj228rNyu5HsQotz+TlmZvVOE8ezmr/8CFevq6ryCDBnzhxUKhUbN27k448/RiaTMWvWLA4ePMicOXP49ddfefbZZwHo1asXM2fOxMvLi5ycHHJycnj66acb3fe0adO4/fbb2bdvHyNHjmTcuHEUF9v6L5w6dYrbbruNUaNGsXfvXh544AFeeOGFS457z549DB48mMTERDZv3syGDRu48cYbMZttJ8hnn32WBQsWMGfOHHbt2kWbNm0YNmyY/fsvVVpaGosWLWLJkiUsWbKE9evX8+9//xuA9957j9TUVO677z57fkRGRja6L5lMxl133cW8efOc1s+dO5fevXsTFRUFwJgxY8jPz2f58uXs3LmTrl27MnjwYKfYT5w4wYIFC1i4cCF79uy5rN90OQJ95fh4yjmY5nhqVlNn5WS2kTaRri9ocjlEhyqdtrFa4WCagTYRtm08dTLaRKoor7Lw4t/8mPVsIFP+z4+2rRqvVFx57I7WwJo6KyezDLSJdH2DL5dDdJiSgycd21itcCitrtFtosMURIUqWb/TfX2w5DKICJRxvN4F3wocyzITFeL6NBMVLDvvBuFoppno4JY5Lfl721oIj2Q4+iDXGiA910x0qOsbUbkMIoPlHD3t2MYKHD1tIqaRbQA0aolagxWLG26qzSYDORkHiWnXy75OksmIadeLrJO7r3i/x/f+SmhUBxZ8/BjvPpXK56+MYvcf3zc94Cby6ZlE4a+bndYVrN6Ab88kACSlEu+u7Slcu8mRwGql8NdN+PTs4tZYzCYDRWcOEtYm1b5OkskIa5NKQcYel9vkZ+wlrHWq07rwNn3Iz3SkD2rVhYwjv1FVlofVaiXn5FbKCtMJb9PbrfHLZRDmL5GW47hRtAJpORYiA10fh5GBMqf0AMezrUQGOm6gJWBMXwUbDtgqdM1FLoPwAIkT2c7xn8i2EBXU+HnnRIOK1bGsxtMDaFQSFqvVrd3M5TIID5Q40eCceTzLTFQj58BWwc7nWIBjmWZatcA582o/58tkEOoL6XnO5fNUnpXwANeVx3B/6bz0J3MaT69TQ5sw2HPS/ceArfzIOJblXPaPZ1saLT9RwTKOZzfMfwtRwRfoWnMtkWQts1yDrroxj23btuXNN9+0/x0fH2///+joaF599VUefPBBPvzwQ1QqFd7e3kiSREhIyEX3PWHCBO666y4AXn/9dWbNmsW2bdsYPnw4n3zyCfHx8bz11lv27z1w4ACvvfbaJcX95ptvkpyczIcffmhf1759ewCqqqr46KOPmD17NiNGjADgs88+Y/Xq1XzxxRc888wzl/QdYGstnD17Np6engDcc889rF27ltdeew1vb29UKhVarfaS8gNg3LhxzJgxg4yMDFq1aoXFYmH+/Pm8+OKLAGzYsIFt27aRn5+PWm3r6/H222+zaNEifvzxR+6//37A1lX166+/JjDQdRc5d/HW2w7Uskrnm4PySrP9s4Y8tTLkcomyKudtyqrMhAbaKmBBvraT6+iBeuavrOB0jpE+SR48N8GPF/5TeNExiU2JvazKgs9FYi9vuE2lhdAA14d3/65asvONnMh0X7cmnUZCLpOoqHa+SFbWWAnybSx2icoG6SuqrXhqW+Zk63X2exv+hooqC1461zcHeg/Xv7u82kqwn+vfodNIjOipYdN+99yJVleWYLWY0Xn5O3+Ppz9FOSeveL8lBZnsXP9fegydSO+RD3ImfT+r5r+KXK6kU6/RTQ37iqmDA6jLK3RaV5dXiNLbE5lGjdLXG5lCQV1+UYM0RejiY90aS111KVaLGQ+9c9576P0pLTjlcpuaykI0+oDz0tdUOH5T6o0vsnHRv/juzQFIMgWSJNF79MuExHR3a/xaNchlEpU1zusrayCgkd7Jeg+oOi+9FU8PR3nv21GGxQKbDzdv64VWcy7+8887gT6ujz+9By7Tn+tm3pBCDsNTFOxNs1Dnxp6gurOxV7jIy6BGYvfUuvq3suKp/fNnkbzaz/laFchkElUNhvxX1YK/l+tt9BrOT19nW+9KxxgJg5Fm6bJ6Lv8bluWK6guXn/P+vapbpvwIV7errvLYrVs3p7/XrFnD9OnTOXLkCOXl5ZhMJmpra6murr7sMY2dOjkmONDpdHh5eZGfnw/A0aNH6d7d+cKdkpJyyfves2cPY8aMcflZWloaRqOR3r0dT5WVSiUpKSkcPnz4cn4C0dHR9oojQGhoqP03XImkpCTatWvHvHnz+Mc//sH69evJz8+3/5a9e/dSWVmJv7/zzVNNTQ1paWn2v6Oioi6p4lhXV0ddnfM4PLOpDrnC9SCE1E4aJtzoONO/M7fkkn/b5TjXO/i3s91DAeatqCAxVkW/rh78sKbysveZ2knDxJscd2gzvm2e2OtTKqBnJw9+Xnf58V5rkhOU3DXE0S35o0XN0K+oAY0KHhqtJafIzNLN7htv2hysViuhUR0YOPpJAEJaJVJw5ji7fp/fopXH/wWHNn9LfuZehtz9IXrfMHJP7WDz4lfQegYR3qbXxXfQgsL8JVIT5Xy4uPnH3DU3mQRjByuRJFi04er/PcKfq3OMxMEMK2bRA/QvwSqJSrK7XHWVx/ozpKanp3PDDTfw0EMP8dprr+Hn58eGDRuYNGkSBoPhsiuPSqVzF0RJkrBY3HPUe3g0MoL5EslkMqwNZmYxGs+/mDXHbxg3bpy98jhv3jyGDx9uryxWVlYSGhrKunXrztuu/hjNS53Zdvr06Uyb5jxxRqd+T5HU33V3491H6kjLcrQwKOVnJynRy5xa8Lz0cjJyXF/8K6otmM1WvHXOT+u8dXLKKmz7KD373zP5ztOqnikw4ed9ZV0+bLE7WhuUCtexe+tknM51PZ3rudi9GrRMNtzHOd3be6BWSmzcU3PeZ01RVWvFbDn/Cabe4/wnnedUVFvRN0hvezL651xp96cZSc91tBifmxTHU+s8wYenTkZWvuuW5coa17/bS3v+JCFqJUy+RUetAT5bXI2bTi1o9b5IMvl5k+NUVRSh8w5oZKuL03sHEhDW2mldQEgsR3atvOJ9ukNdXiHqYOffpQ4OwFhWgaW2DkNhCRaTCXWQf4M0/tTlOrdYNpVa64Mkk583OU5NZRFaveu899AHUFtZeF56D09bepOxlp2rZzJ47CwiEwYA4BcST3HOYQ5s+MqtlcfqOjBbrOdNsGFrnXO9TWUN6M5LL1FxtgUkKlhCp4GnxziuRXKZxIhkOb0S5cz40X2VsOrac/FL2DrtOeJp2MJVP/6GrYx6j/NbcGQSjBuixFcv8dlSg1tbHcHWgmW2WPF0lZcXOmdeRvrmdDWe8+urNoDFYj1vciKdi9bFcyprOT+92ra+ocgA8PeS+Glz8/y2c/nfsCx7aiXKL5D/5/17uWiNFISLuao74+7cuROLxcKMGTPo2bMncXFxnDlzximNSqWyjytsivj4eHbs2OG0rv6ENhfTqVMn1q51Pf1869at7eM4zzEajWzfvp3ExETANjtsRUUFVVWO1pErGTt4JfkxduxYDhw4wM6dO/nxxx8ZN26c/bOuXbuSm5uLQqGgTZs2TktAwOXfuE6ZMoWysjKnpWPvRxtNX2uwkl9sti/ZBSZKK8wkxjrG+2nUErHhyka7aZrNkJ5jdNpGkiAxVsWJLNs2haVmSsrNhDToChoSoKCo7MrK13mx55+L3dHKqlFLxEaoOJHpuouj2QzpZ4y0r7eNLXa1y236d/Ng19Fat1+szRbIKrDQNtxRkZaAthFyTue6/q7TeRbaRjhXvOMi5aTn/Tk3EnVGKCy12JfcIttkQvGtHP/GGhVEh8hJz3H9b2y2QGae2WkbCYhrpeBUvW00KnjkVh1mM3zyc5VbJ1mSK1SEtmpP+hHHOECrxUL64c1ExF75GL/INl0pznXuelmcl463X/gV79MdSrfswX9QT6d1AYN7UbJlDwBWo5GyXQcJGFRvXKEk4T8wldItVz4G1BW5QoV/WHvOpG2xr7NaLJxJ20JgqySX2wS16uyUHuBM2iaCIm3pLWYTFrPxvLEykkyO1er+4/ZMkZXYUMd3SUBsqIzMAtfflVlgoXWoc2xtwiQyz74aY0+ahf/8bOKDxY6lvMo2wc6cVe6tgZktkF1opU24c/xtwmScbuR1BafzLLQJc46/bYRz+nMVR38vic+XGahuhk4CZgtkF1hp0+Cc2SZczulGzoEZeRan9Odiz/iTzpn1XY3n/PosFsgpgehg58pUdLDU6GtqsousRAc5p48JcZ2+c6xETrGV/FK3hezEVn4stI1oUPbDZY2Wn9N5zv9eAHERMk7n/TkT0rU0qyRrkeVadFX/qjZt2mA0Gnn//fc5efIk33zzDR9//LFTmujoaCorK1m7di2FhYVUV1/ZJCEPPPAAR44c4bnnnuPYsWN8//33zJ49G8BpxtPGTJkyhe3btzN58mT27dvHkSNH+OijjygsLESn0/HQQw/xzDPPsGLFCg4dOsR9991HdXU1kyZNAqBHjx5otVqef/550tLSmDdvnv37L0d0dDRbt24lPT2dwsLCS2qVjI6OplevXkyaNAmz2cxNN91k/2zIkCGkpqYyatQoVq1aRXp6Ops2beKFF144r7J9KdRqNV5eXk5LY11WG7NyczU39dfTJV5NRJCC+2/xprTCzK4jjseDz07wZUiKo2V6xaZq+nfT0jtJQ2iAnHtv8EKtkvhjl+Px+7KNVQztqSU5UU2Qn5xbBukJDVDw+073teKt3FzFzQP0dElQExGs4IFbfWyxH3bE/twEP4b0qB97Ff27aemT5EFYoIJ7b7TF/vsu57iC/OTER6lYv8O9rY7n/L7XSI9EBcnxCoJ8JW7tr0KlkNh2xHbDeNdgFSN7Oloj/thnJCFSTv/Otmn+r+tue7fXxv2OG0wPNYT5ywg+O4YmyFcizF+GZyPjk5rqt911DO+hoWOsgrAAGfcM11JWaWXvCUdMj96mo1+S40HDrzsN9OqookeikmA/GXcM0aBWSmw5aKu8a1Tw8K06VEqJuatq0KgkPLW2xV29aHoMncjuP75n36afKMxJY/ncqRgNNXTqfQsAi798lt8WzrCnN5sM5GYeJjfzMGaTgYrSPHIzD1Ocf9qeJmXIvWSf3MvGZR9TnH+aA1t/Yfcf35M8cKx7gj5LrtPi1TkBr84JAGhjIvDqnIAmMhSA+FefpPNXb9jTn/50PtqYSBKmP4MuPpaoB8cSOmYEp96bbU9zauZXRE66nfB7RqFPiKXDB1NR6DzInON6BtSm6ND7Xo7t+IHjuxZRmp/GpsXTMBlqiOtm69q7/ofn2LHyHXv6xNTxZB3fwP4NX1FacJJda/9DYfZBElNt+arS6AmJ6c72FW+Rc3IbFcVZHN/1Eyd2/0xU4hC3x7/xoIXkOBldWtteOXBTqhyVAnYet10bbu0jZ2hXxw3npkMW2oZL9G4vI8AbBiXJCfOX2HJ2fGNNHeSXWp0WsxUqamwzWrrbhv0musfL6dpWRqCPxKg+ClRK2HnMdkN8+wAlw7o7Hu5sPGAiLlJG345yAr1t76sMD5DYfNCWXibB3UOUhAfI+O43I5Jka4nVe9gmKXGnP/aZSGknp1ucnCAfidH9lKiUsOOorafJHQOVDE9xxL5hv5n4SBn9OikI9JEYmmx7H9/GA46eKR5qCPWX7K/vCPKREeovNfr6hqa42s/5245aSYqV6Bgt4e8JI5IllArYd8pWGbyxh8SAjo7v3X7MSmyobZZWf0/o214i1Bd2nnCuPKoUkBApNctEOfWt32uiRzsFyfG28nNLPyUqpcT2I7bycOcgFSN61M9/E/GRMvp3tpWf65KVLstPWL3yE+gjI8xfOq+FXPjfdtV1W62vc+fOvPPOO7zxxhtMmTKFfv36MX36dMaPH29P06tXLx588EHuuOMOioqKeOmll+yv67gcMTEx/Pjjjzz11FP2WUtfeOEFHnroIftEMRcSFxfHqlWreP7550lJScHDw4MePXrYJ+j597//jcVi4Z577qGiooLk5GRWrlyJr68vAH5+fnz77bc888wzfPbZZwwePJipU6faJ6S5VE8//TT33nsviYmJ1NTUcOrUKaKjoy+63bhx45g8eTLjx4936oIrSRLLli3jhRdeYOLEiRQUFBASEkK/fv0IDg6+rNjcZdmGKtQqiQk3eaHVyDieYeDtb0ow1uv5GeSrQK9zXLC2HajFSyvjlkGeeOtlZOQaefubEsrrTaKzanM1SoXE2BFe6D0kMnJNvDmnmPwS9z21W/pHFWqlxMSbvB2xf13sHLuf3GmCga0HavHUlXPLYD3eZ7vnvvV1sVPsAP26aikpt3AgrXnG2u05YUanMTAsRYmXVkV2oYXPltTau7/56GVOLSfpuRa+XVPHiBQVI3uqKCi18tXyOnKLHRfcDtEK7hzsOL7uuc7WZ2jldgOrtrt/DNKa7QbUSom7hnrgoZZIyzbz4ULnlsIAb5lTV6Fdx4zotRLX99LgqZXILjDzwcIqe1egyCA5MaG2U+3USZ5O3/evz8spLm/6DUZi95FUVRSzfvEsqsoLCI5ox52PfY7ey9b6X1acg1TvCWhFaT5fvDLK/veWVV+yZdWXtIpL4Z6nvwFsr/O4bfJ/+G3hO/yx5AN8AiIYesfzdOhxE+7k3a0DqWu/cfyWt58HIPPrheybNAV1aCAeZyuSADXpWWy/6QESZ0wh+tHx1Gblsv+BFylcvcGeJueH5agC/Yh76THUIYGU7z3Mthv+hqHBJDruENtpJLVVJexaO4uaikL8Qttx3YRP8TjbbbWqzDnvg6O6MOD2t9i55j12rnoXL/8oBo97H9/gOHuaAXfMYOeqd1n//TPU1ZSh9wmj29AnSEi50+3xH0i3oNPA4C5y9B5ycoqtzFltsnfd89FLWOt1Cc0ssPL9ehNDuioY2lVOUbmVeb+amnVW1QvZd9KCTmNiaDclnlpbS+qXyw2O845OcnoXb0a+lfm/GrkuWcGw7goKy6x8s9pIXoktkbdOIjHaVll+/Fbna/unSwyczHFfK9neNDM6DVzX3faS9zOFVr5YWueI3VOifq6ezrMwb62B4SlKhvewxf71SoM9doDEaDl3DHQ83Bo31Pb/q3cYWb3D9fCHK3W1n/MPZ1rRqqFfBwmdRiKvFL5bb6Hq7CXSSys5DRfKLoKfN1vo31HGgI4SJZXw40bbK2vqS2wlIQGHMpr3mNibZkbvYWRYd+XZ8mPh8yWO8uOrdy77p/MszF1jYHgPJSN6KCksszJ7hXP+t4+Wc+eg+vlv+/9V242s2iHG/Qo2krXhQDrhkr322mt8/PHHZGZmtnQo17R7/5Xb0iE0ydV8iAWGNjLt3FWirta9N0t/tpRujUx5eRXwHxJ/8UR/YQf+e3mTlf3VVFRevWXfZLy6ZxixNOeLLf8EZncNyG4B/v7N+x7p5lZc/NeeSO1i3n7o8uYa+TMV799w8UTNwK9jnxb53uZ0Vbc8/tk+/PBDunfvjr+/Pxs3buStt97ikUceaemwBEEQBEEQBEEQmt1VPebxz3b8+HFuvvlmEhMTeeWVV3jqqafsXWBHjBiBXq93ubz++ustG/gFPPjgg43G/eCDD7Z0eIIgCIIgCILQJGLCHPcR3VbdJDs7m5oa1xOR+Pn54efn9ydHdGny8/MpL3c9i4GXlxdBQUF/ckTnE91WW47ottqyRLfVliO6rbYc0W21ZYluqy1HdFttPkUHNrXI9/p3+Gu/m/dKiG6rbhIe3rLT11+poKCgv0QFURAEQRAEQRCEvzZReRQEQRAEQRAE4ZplpXle8fW/6NrsjCsIgiAIgiAIgiC4lWh5FARBEARBEAThmnWtTl7TEkROCoIgCIIgCIIgCBclWh4FQRAEQRAEQbh2SWLMo7uIlkdBEARBEARBEAThokTlURAEQRAEQRAEQbgo0W1VEARBEARBEIRrllW0l7mNyElBEARBEARBEAThokTLoyAIgiAIgiAI1yyrmDDHbUTLoyAIgiAIgiAIgnBRovIoCIIgCIIgCIIgXJTotioIgiAIgiAIwjXLKon2MncROSkIgiAIgiAIgiBclGh5FP7ySgvKWjqEJlGqlC0dwhULTgpu6RCapLjY0NIhNEl+kaWlQ7hiOf893NIhNEmHu9q1dAhNsvyNbS0dwhUbM+zqPWcCZBZ7tHQITZJ22tTSIVyx+w/e39IhNMmLurdbOoQm0rZ0AI2yIibMcRfR8igIgiAIgiAIgiBclGh5FARBEARBEAThmiXGPLqPyElBEARBEARBEAThokTlURAEQRAEQRAEQbgo0W1VEARBEARBEIRrllUSE+a4i2h5FARBEARBEARBEC5KtDwKgiAIgiAIgnDNEq/qcB/R8igIgiAIgiAIgiBclKg8CoIgCIIgCIIgCBcluq0KgiAIgiAIgnDNEu95dB+Rk4IgCIIgCIIgCMJFiZZHQRAEQRAEQRCuWWLCHPcRLY+CIAiCIAiCIAjCRYnKoyAIgiAIgiAIgnBRotuqIAiCIAiCIAjXLDFhjvuInBQEQRAEQRAEQRAuSlQerzIDBgzgiSeeaOkwBEEQBEEQBOGqYEVqkeVaJLqt/kWtW7eOgQMHUlJSgo+Pj339woULUSqVLRfYVWLsDf4M7eODzkPGkZM1fDQvj5wCY6PpE9t4MHqoH21aafDzUfD6x9ls3VvplObO6/3pm+xJgK8Sk9lKWkYt3/5cyLH0WrfGfscIX4akeqL1kHH0VC2f/lBIboGp0fTtWmu4eZA3sZFq/LwVvPF5Ltv3Vzul6dFJy3W9vYiNVOOpk/P0m1mkZxvcGjfAoc1z2f/Hl9RUFuIXkkDqjS8QGNmp0fSn9q9g5+pZVJZm4+UfRffhTxEZ39/+eU1FIdtXziD7+EbqaisIiU4m9cYX8A6IdnvsPRPl9O+kQO8BOcVWFm8yklVgbTR9xxgZQ5MV+OolisqtLN9m4mimxf75kK4KOrWW4aOTMFsgq9DCqu0mMi+wz6Y4uHku+3535H2vm14g6AJ5f3L/CnasnkVliS3vU4Y/RasER95XVxSybYUj70Ojk+l1U/PkPcChLXM5cLbs+IYkkHrDxcvOrjWOspM8zLnsGOuq2LHyHU4fXktddSmevhEkpt5NQo873Rq3X59kYp+ahHfXDmjCgthx62TyFq+98Db9Ukh8+x/oE9tSm5nDiekfkfX1T05poh4aS+yTk1CHBFK+7wgHn3iFsu373Rp7fdf3UtOrgwoPjcTJbDPfra2hoNRywW36dVYxOFmNl04iu8DMD7/VcjrXDIBWI3F9qpqEKAW+XjIqq63sSzOyZGMttW4+9fy2/DtWLZpDWWkREdFx3PW354hp28Fl2j9WL2TzuiWcyTgBQKvW7Rg97lGn9LU11Sz8dhZ7tv5GVWUZAUFhDLr+LvoPG+PewIHtv85l88ovqCwrJDgygeF3vUh4rOtyn599nPU/zyLn9EHKis5w3R1T6DH0Xqc0FouZ9Yv/w4Eti6ksK8TTJ4hOvUbT94aHkCT338h2j5PRK1GG3gNyS6ws327hTFHj57jEVhIDO8vx0UNROazZbebEGUf6m1PlJLV2btc4ccbC3F/Nbo8dQJMyEI/ew5HpvTHlZVK1dB6m7FMu03pPfAZlTMJ56w3H9lH+7XsABLz8hcttq1Z+T83Gle4LvJ4b+2jo01mNh1oiLdvEf1dVk19y4WO3fxc11/VQ46WTkZVv5rs11aTnOPJ47DAt7aIUeOtl1BmtnMw2sXBdDXnFF96v8L9BtDw2gdlsxmK5vAPJYGjaVdPPzw9PT88m7aOlNTUPLuaW6/y4fqAvH83L45k3M6itszD1sQiUisYvnBq1jPTsOj6Zn9domjP5Bj79Lp/HXk3nH29nkF9kZOpjEXjp5W6LfdRgb0b28+LT7wt5/t0z1Bms/PPB0AvHrpJIzzbw+Y+FjaZRq2QcPlnLt4uL3RZrQyf3LWPrsjfoMvhhbn54AX6h8az46j5qKotcps87vZvfvnuauORbGfXIQqISB7Pm20cpzj0GgNVqZfW3j1BenMmQez5g1CML0fuEsfzL/8NoqHa5zyvVKVbGDT0VrNll4v2fDOQUWZg0QoVO4zp9qyCJOwcp2XHUzKyfDBxMt3DPUCXBvo5/p4IyC4s3mpi5wMBHvxgorbAyaWTj+2yKtH3L2LL0DboOfpjRjyzAPzSe5V9eOO9/nf808cm3MvrRhUQnDmZ1w7z/5hEqijO57p4PuOXRheh9w1j2hfvzHmxlZ9uyN0ga9DA3PbwAv5B4Vs6+cPzrvreVnZsfXkirdoNZO/dRSvKO2dNsXfYGWcc30H/Mm9zyxFISe41n85JXyTj8q1tjl+u0lO87yoHHpl1Seo/oCLov/oSidVvZkHwzp96fQ8dPXiVgaB97mtAxI2j31hSOv/oBG1JGU7HvCD2WfoEq0M+tsZ8zpLuK/klq5q+t4e15lRiMVh6+RYfiAqe2rnFKRvfXsHxLLW98W0l2gYWHb9Gh97AdA946CW+9jJ9+r+X1OZV8u7KaxGgF467TujX27RtW8sNXM7jh9gd48e15REbH8d7LkykvdX2uO3pgByl9hvPUy5/x3PQ5+PmHMHPaQ5QU5dvT/DB7Bgd3b2LSE68xbdZCBt8wjv9+9gZ7tq1za+wHty1j9ff/pt+ND3PfvxYSHBnPvJl/o6rcdbk3GWrxDYxk0K1PofcOdJlm0/LP2Lnuvwwf+08eemUpg259is0rPmf72m/cGjtA+yiJ67rJWL/PzCfLTOSVwN2D5GjVrtNHBEjc2kfO7jQLnyw1cTTLwp395QR6O6c7nm3h7R+N9mXBhuapOKo6dEc3/A6q1y2m9ONpmHMz8Rr/dySd63us8vkfUvTm3+1Lyfv/xGo2U3dghz1N/c+L3vw7FT99idVioe7Qzmb5Ddf1UDOwm5p5K6t545sKDEYrj96uv+Cx2y1ByW2DPFiysZbXZ5eTlW/m0dv1eGod16+MXBNzllUz7fNyZn1ve5D++B2eNMPzhz+NVZK1yHIlPvjgA6Kjo9FoNPTo0YNt27Zd0nbz589HkiRGjRp1Rd97qa65ymN0dDQzZ850WpeUlMTUqVOxWq1MnTqVVq1aoVarCQsL47HHHrOnq6ur4+mnnyY8PBydTkePHj1Yt26d/fPZs2fj4+PD4sWLSUxMRK1Wk5GRccF4JkyYwKhRo3jttdcICwsjPj4egG+++Ybk5GQ8PT0JCQlh7Nix5OfbLl7p6ekMHDgQAF9fXyRJYsKECcD53Vajo6N5/fXX+b//+z88PT1p1aoVn376qVMMmzZtIikpCY1GQ3JyMosWLUKSJPbs2XPB2C0WCxEREXz00UdO63fv3o1MJuP06dMAlJaW8re//Y3AwEC8vLwYNGgQe/futaefOnUqSUlJfP7558TExKDRNMPdcz03DvLlh+VFbNtXyensOmbOzsXPW0HPJH2j2+w6WMXcxYVsadDaWN/v2yvYe6SavEIjmTkGvvixAJ2HnOjwRq6UV+D6/t4sWFXK9gPVnD5j4P1v8/H1lpPSsfEbrt2Ha5i/rIRt+xq/qf99RyU/rixl37Eat8Xa0IENc4jvPoa4brfgG9yG3jdPRaHScGznQpfpD276moi2fejUbxI+Qa3pNvRx/MPacXjLPADKi9IpyNxL75tfIjCiIz6BMfS++SXMxjpO7l3q1tj7dFSw7YiZncfM5JdaWbTBhMEEyfGur8C9Oyg4lmXh931mCkqtrN5p4kyhldT2jvR70yycOGOhuMJKfomVJVtMaFQSIX7uP+3u/2MOCd3HEJ9sy/s+o2x5f3SH67w/sNGW9537TcI3qDXJ1z1OQFg7Dm625X1ZYTr5mXvpPeolAiNted/n5pcwGetIc3Pe2+KZQ3zy2bITdLbsKBsvO4c22+Lv2Ne57Bw6Gz9AfsZu2na5mdDYFDx9w0lIuR2/kHgKsva5NfaClb9z7KWZ5P285pLSR91/JzWnsjj87BtUHjnJ6Q/nkrtgJTGPT7CniXliIplffE/WnIVUHk5j/+SXMFfXEjnhVrfGfs7ALmpWbq1lf5qJM4UWvl5RjbdeonObxnu5DOqmYtMBA1sOGskttjB/TQ0Gk5XUDioAcoosfP5LNQdOmigss3As08wvG2rpEKtA5sYb0NW/fEufobfQe/DNhEW2ZtwDL6BSa9j46yKX6f/299cZMOJ2ImPiCY2IYfzkf2G1Wjmyb6s9TdqRvaQOuIH4DskEBIXR77pbiYiOI/3EQfcFDmxZPZsufceQ1OdWAsPacP3d01CqNOzZsMBl+rCYjgwZ8ywdUq5HrnD9b5OVtpv4pMG07TQAn4AIEpOHE9u+N9mn3N9q3bOdjF0nLOw5aaWwDJZsNWM0Q5c2rs9xPRJknDhjZdMhC4Xl8NteCznFVlLindObLVBV61jc3VJ9jkev66jd+Tt1uzdiLsih8pdvsBoNaLr2cZneWlOFtbLcvijbJGI1Gqg7uN2Rpt7n1spyVAldMKYfxVLS+MPdphicrGH55lr2njCSXWDmqyVV+OhlJMU1fuwO6a5h4946Nu+3PSidt7IaoxF6dVTZ02zYa+BElomicguZeWYW/1GLn5cMf+9rrtrwl/Pdd9/x5JNP8tJLL7Fr1y46d+7MsGHD7HWExqSnp/P000/Tt2/fZo/xf6oULFiwgHfffZdPPvmE48ePs2jRIjp27Gj//JFHHmHz5s3Mnz+fffv2MWbMGIYPH87x48ftaaqrq3njjTf4/PPPOXjwIEFBQRf93rVr13L06FFWr17NkiVLADAajbzyyivs3buXRYsWkZ6ebq8gRkZGsmCB7eJx9OhRcnJyeO+99xrd/4wZM0hOTmb37t1MnjyZhx56iKNHjwJQXl7OjTfeSMeOHdm1axevvPIKzz333CXll0wm46677mLevHlO6+fOnUvv3r2JiooCYMyYMeTn57N8+XJ27txJ165dGTx4MMXFjie/J06cYMGCBSxcuPCildamCA5Q4uetYO8RR0WqutbCsVO1xMd4uO17FHIY1sebymozp7Lq3LLPIH8Fvt4Kpwpeda2V46friItp3gp3U5lNBgrPHCSsTap9nSSTEdY6lfyMPS63yc/Y65QeIKJtH3t6s8nWzViucFTOJZkMuUJF3uldbotdLoPwAIkT2Y5eBFbgRLaFqCDXp8ioYJlTeoBjWY2nl8sgJUFOTZ2VnCL3dvs5l/fhDfI+/AJ5n5ex1yk9OOe9xWzLe4WLvM9Nd1/en4u/yFXZaZNKwYXKTmvn+MPb9CE/05E+qFUXMo78RlVZHlarlZyTWykrTCe8TW+3xn+5fHomUfjrZqd1Bas34NszCQBJqcS7a3sK125yJLBaKfx1Ez49u7g9Hn9vWwvhkQxH1/haA6TnmokOdf3wRC6DyGA5R087trECR0+biGlkGwCNWqLWYMXipp7bJqORjLTDtOvUw75OJpPRrlMPTh69tIcEBkMtZrMJnaej+at1Qmf2bl9PSVG+rWK5fzt5Z06T2LmnewLHVu5zTh8kJrGXfZ0kkxHTLpWsk3uueL8Rrbtw6vBminJtXS9zM4+QeXwXbTr2a2rITmQyCPOTOJnj/I95MsdKRIDrpwORgRInc53Tp+VYiQh0Pm9GB0s8fZuCh29ScH2KDA8V7ieXowiNwph22LHOasWYdghFROtL2oWma18MB7aB0XXtVtJ5oYrrSN3OP9wR8XkCvGV462UcTnc+dk+dMREb5npUmlwGrULkHG5w7B5ONxIb7nobldJWsSwoNVNSLrqtNrd33nmH++67j4kTJ5KYmMjHH3+MVqvlyy+/bHQbs9nMuHHjmDZtGrGxsc0e4//UmMeMjAxCQkIYMmQISqWSVq1akZKSYv/sq6++IiMjg7CwMACefvppVqxYwVdffcXrr78O2Cp9H374IZ07d77k79XpdHz++eeoVI4z4P/93//Z/z82NpZZs2bRvXt3Kisr0ev1+PnZuicFBQU5jXl0ZeTIkUyePBmA5557jnfffZfffvuN+Ph45s2bhyRJfPbZZ2g0GhITE8nOzua+++67pNjHjRvHjBkzyMjIoFWrVlgsFubPn8+LL74IwIYNG9i2bRv5+fmo1bYbzbfffptFixbx448/cv/99wO2rqpff/01gYGuu9q4i6+X7caltNx5jGBphcn+WVMkd9Dx9KQw1CqJknITL83KoqLKPV1qfD3Pxl7hvL+yCjM+nu7rGtscaqtLsVrMeOj9ndZ76P0pK3A9fqSmshAPfYDTOo3en+oK2xNan8AYdD6h7Fj5Lr1HT0Wh9ODAxjlUleVSXVHgtti1GpDLJCprnG9qKmusBPq4rgzqPXCZ/lyXvXMSWsm4a5ASpQIqquGLZQaq3fOswa7RvPf0p/Qy8t5D709NpSPv9T6hbFv5Ln3P5v3+Zsh7gLoLlJ0Lxa9xFX+F4+l+6o0vsnHRv/juzQFIMgWSJNF79MuExHR3a/yXSx0cQF2ecytEXV4hSm9PZBo1Sl9vZAoFdflFDdIUoYt3/02Bl9ZWxiuqnctzRZUFL53rSoDeQ0Iuk87bprzaSnAjLes6jcSInho27XdfM1JlRQkWixkvH+fuvJ4+/uRkp1/SPhZ8/R7evoFOFdA7//Yc3370Cs/dNwyZXIFMkrjnoX8S176b22KvrizBajGj93Iu9zqvAApzXZf7S9F7xP3U1VTx4T9HIpPJsVjMDBz9BB173tjUkJ1o1SCTSVQ1GPJfVWslwLuRcqOxfV5fZa1t/Tknzlg4nAmllVZ89RKDk+SMGyTxxUozVjcOF5dpPZHkcixV5U7rLVXlKANDL7q9IjwGRXAElYtmN5pG06UX1ro66g43T5dVL70tn8urnCt0FdVWvHSNXLu0tmPX1TYh/s73Gf27qBk9wAONSiK3yMx731Vivorrji01eU1dXR11dc4XfrVabb9nrs9gMLBz506mTJliXyeTyRgyZAibN28+L/05L7/8MkFBQUyaNIk//miehxX1/U9VHseMGcPMmTOJjY1l+PDhjBw5khtvvBGFQsH+/fsxm83ExcU5bVNXV4e/v+PkrlKp6NSp8UkcXOnYsaNTxRFg586dTJ06lb1791JSUmIfO5mRkUFiYuJl7b9+PJIkERISYm/ePnr0KJ06dXLqKnquwnwpkpKSaNeuHfPmzeMf//gH69evJz8/nzFjbBMH7N27l8rKSqc8AqipqSEtLc3+d1RU1CVVHF0dZGazAbnc9aPH/t09eWhsiP3vVz7MuuTfdiX2H6vmidfT8dLLua63N8/+LZRn3sygrOLyK5B9u+m5/w7HDfD0T3LdGepVTyZXMmTc+/yx8EW+faUnkkxOWOtUIuKav0uGu6SdsTBroQGtxtbyOHaIkg8WGc674fqrkcmVDLn7fX5f8CJfv2zL+/DWqUTG9aV5pvtxv0ObvyU/cy9D7v4QvW8Yuad2sHnxK2g9gwhv0+viO7hGJScouWuIoxfGR4uqmv07NSp4aLSWnCIzSze7+elJEyxf+CXbN67k6Zc/Q6ly3Mj9tnQ+J4/t5+EpM/EPDOXYoV3M++zfePsFurX1sTkc3LGcA1t/YfR9bxMY1oa8zCOsmv86nt5BdO49uqXDu6iDpx1nmPxSK3mlJh4fpSQ62MKp3L/O2UfdtQ+m3MxGJ9cBUHfpQ92+LWBqfMK7y5GSqGLsMMcQlg9+bHyYjTtsPVjH4XQjXjoZQ1PU3Hezjre+rcDUPENQr1nTp09n2jTnMfEvvfQSU6dOPS9tYWEhZrOZ4OBgp/XBwcEcOXLE5f43bNjAF1980ay9+hq65iqPMpkMa4PHU0ajrQtWZGQkR48eZc2aNaxevZrJkyfz1ltvsX79eiorK5HL5ezcuRO53Pnpi17vGCvn4eFx2TOW6XQ6p7+rqqoYNmwYw4YNY+7cuQQGBpKRkcGwYcOuaDKZhrOvSpJ02RP5XMi4cePslcd58+YxfPhwe2WxsrKS0NBQp7Gh59RvMW2YB41xdZDFdXuYhO6Puky/bV8lR9PT7X+fm1jGx0tBSbnjDOfjqXBL99I6g5XcAiO5BUaOnarlo2kxDOnlzYKVlz8RzfYDVRw/7ahFKM7F7imntF7s3p7yZpkZ1Z00Wh8kmfy8CU5qKovw8AxwuY2HPsDe0nVObWUR2nrpA8LbM/rRnzDUVmA2GfHQ+7H4wzsICG/vttira8FsOddq6Dh36D0kKqtd36xU1nBeK6Pe4/zWS6MJisqtFJVDZr6Jp29X0T1ezrq97rv6Npr3Fc55WZ+rvK+pLHJqjQwMb8+tjznn/aIP7iAwwn15D6C+QNnR6huPv9ZV/Gd/r8lYy87VMxk8dhaRCQMA8AuJpzjnMAc2fNWilce6vELUwc6/Sx0cgLGsAkttHYbCEiwmE+og/wZp/KnLbfq4qf1pRtJzHeXv3MQanlqJ8ipH+fU8OwujK5U1VswWq9MEGwBeDfYBoFbC5Ft01Brgs8XVuPHShN7TF5lMft7kOBWlRXj7+Deylc2qRV+zYuFX/H3qx0REOx4aG+pq+Wne+zz07Dt0SrY9qIqIjiPr1FFW//yN2yqPWr0vkkxOZYPJcarKC9F7uy73l2LtD2/Ra8R9dEi5HoDgiHjKis6wcfmnbq08VteBxWI9bwIwnUaispGh9ZW1ts+dzrMa2/rGlFbaWiv9PCW3Vh4t1RVYzWZkOi+n9TKdF5aKsgtvrFSh7phC9a8/N5pEEdUWRWAoFd9/7I5wAdh7wsCpM46KqOLsHbyXTkZ5vR5Qnlqp8WO32nbs2lomnbdp2BpZa4Bag4X8Egunzph453EfkuKU7Djc+Mz1f2XWFprtZ8qUKTz55JNO61y1Ol6JiooK7rnnHj777DMCAq78vHG5rrkxj4GBgeTk5Nj/Li8v59Qpx5MhDw8PbrzxRmbNmsW6devYvHkz+/fvp0uXLpjNZvLz82nTpo3TEhIS4uqrrtiRI0coKiri3//+N3379iUhIeG8gbDnWirN5qbdZMbHx7N//36n1rzt27dfYIvzjR07lgMHDrBz505+/PFHxo0bZ/+sa9eu5ObmolAozsu3KynIU6ZMoayszGlp2/WBRtPX1Dkqc7kFtolsistMdIp3PJ3z0MiIi9Fw9JT7J4uRJC44E+qF1NZZyS002ZesXCMlZSY6xjlaBTzUEm2j1Bw79dduqpIrVASEtSfnxBb7OqvFwpm0LQS1SnK5TVCrzpxJ2+K0LvvEJpfpVRpPPPR+lBWmU5h9gFaJg90Wu9kC2YVW2oQ7TocS0CZMxul813e6p/MstAlzPn22jWg8vX2/Eijk7r2Ancv77LRLz/tgF3mfdYl5H9XOfXkPtvj9w9o7xXMu/sDLKDtn0jYRFGlLbzGbbOM2G8x0J8nkWK0t2++qdMse/Ac5V0ACBveiZMseAKxGI2W7DhIwqN6YTknCf2AqpVt2N/n764xQWGqxL7lFFsoqLcS3cjxL1qggOkTuNHV/fWYLZOaZnbaRgLhWCk7V20ajgkdu1WE2wyc/V7m9xUKhVNKqdTunyW4sFguH920jNr7xHkIrfprNkh8/4/F/fkB0G+eHIWazCbPJhNRgVh9JJsfixrIjV6gIjWpP+mFHVzSrxcKpI1uIiE264v0aDTVI55V7mdvLvcUCZ4qtxIY451NsiERWoetKXmaBlZiG6UMlsgoaj81Ta+siW1Hj5lZHsxlTzmmUse0c6yQJZWw7TFlpjW8HqNt3R5IrqdvbeDdCTde+GLPTMee5rzdUnQEKSi32JafQduwmRDkfuzFhCk6ecd3aabZARq7ZaRsJSIhWcjK78RZSSTp7v+Pm69f/ArVajZeXl9PSWOUxICAAuVxOXp7zzP95eXku6yJpaWmkp6fbe1EqFAq+/vprFi9ejEKhcOoB6E7XXOVx0KBBfPPNN/zxxx/s37+fe++9196SOHv2bL744gsOHDjAyZMn+fbbb/Hw8CAqKoq4uDjGjRvH+PHjWbhwIadOnWLbtm1Mnz6dpUvdO7tgq1atUKlUvP/++5w8eZLFixfzyiuvOKWJiopCkiSWLFlCQUEBlZVX1j1h7NixWCwW7r//fg4fPszKlSt5++23AS65BTU6OppevXoxadIkzGYzN910k/2zIUOGkJqayqhRo1i1ahXp6els2rSJF154gR07dlxgr665Osga67LamF9+LeH2kf6kdNIRFabiiXtDKC4zsWWPIw9ffjyCkf197H9r1BIxEWpiImwHdLC/kpgINQG+thOsWiVx980BxMVoCPRT0LqVmkfvCcHfR8HGXRWX/Tsbs3R9Gbde50NyBy2tQpU8encQJWVmttV7b+NLD4cyvK/jaalGJREdriI6XGWPPTpcRYCvowVdr5URHa4iIsTWSh0WZEvjzrGUHfrcy9EdP3B81yJK89PY+PM0TIYa4rrannav/+E5tq98x56+fa/xZB3bwP4/vqI0/yS71vyHwuyDtOs51p7m1P4V5JzcRnlxJqcPrWXFl5OIShxMRFv3TnqyYb+J7vFyuraVEegjMaqPApUSdh6z3e3ePkDJsO6Oi+3GAybiImX07Sgn0FtiSFcF4QESmw/a0isVMCxZQWSQhI/eNiHPbf0UeGkl9p1yf5+fjn3v5ej2Hzi2cxEl+Wls+HkaRkMNcd1sef/b98+xbYUj7zv0Hk/msQ3sO5v3O8/mfftUR96f3L+CM2fzPv3QWpZ9cTbv49w/4UyH3vdyrF7Z2bT4bNnp5ig7O+qVncTU8WQd38D+DV9RWnCSXWtt8SeejV+l0RMS053tK94i5+Q2KoqzOL7rJ07s/pmoxCFujV2u0+LVOQGvzrb3v2ljIvDqnIAm0jZuKv7VJ+n81Rv29Kc/nY82JpKE6c+gi48l6sGxhI4Zwan3ZtvTnJr5FZGTbif8nlHoE2Lp8MFUFDoPMue4nn22qX7bXcfwHho6xioIC5Bxz3AtZZVW9p5wtDA8epuOfkmOc/GvOw306qiiR6KSYD8ZdwzRoFZKbDlo6yWhUcHDt+pQKSXmrqpBo5Lw1NoWdzYADL3xbv5Y8xObfltMTtZJ5n7yOoa6GnoPuhmAL997kYXfzrKnX7HwKxb/90Puffgl/IPCKCsppKykkNoa2znWQ6snrn03FsyZydEDOyjMy2bTr4vZsn4JXXoMdF/gQM+hE9j1+w/s3fgTBWfSWPbt2l8IuwABAABJREFUVIx1NXTufQsAi754jrULZtjTm00GcjMOk5txGLPJSEVpHrkZhynOO21P07bzQDYs+5jj+9ZRWpjFkV2r2bpqNvFdhro1doAthy10bSujc6xEgBfc0EOGUgF70myVwVG95AxOctxmbj1ioU2YRGo7Gf5e0L+TjDA/iW1HbemVChjaVUZ4gIS3DmJCJO7sr6C4AtLOuL/Las2mVWi69UOd1At5QCi6G+5GUqmp3bURAP0tk9AOueW87TTd+mA4shtrjesu35Jag7p9MnU7f3d7zA2t3VHLiF4aOrVREhYgY8L1OkorLew55jh2n7hDz4CujsrKmu219OmspmcHFSH+Mu4apkWlxD4eOcBbxrCeGloFy/H1lIgNl3PfzToMJisHTl6drY5XC5VKRbdu3Vi71vGuYIvFwtq1a0lNTT0vfUJCAvv372fPnj325aabbmLgwIHs2bOHyMjIZonzmuu2OmXKFE6dOsUNN9yAt7c3r7zyir3l0cfHh3//+988+eSTmM1mOnbsyC+//GLvgvnVV1/x6quv8tRTT5GdnU1AQAA9e/bkhhtucGuMgYGBzJ49m+eff55Zs2bRtWtX3n77badKWXh4ONOmTeMf//gHEydOZPz48cyePfuyv8vLy4tffvmFhx56iKSkJDp27Mi//vUvxo4de1mvzBg3bhyTJ09m/PjxeHg4WsYkSWLZsmW88MILTJw4kYKCAkJCQujXr995fbb/LAtXFaNRSUweG4JOK+NwWg3T3s/CaHJcfEICVU7vZ2zTSsNrT7ay/z1pjG0W3bWby5j1dS4WC0QEqxh0fxheOjkVVRaOn65hyoxMMnPc16V00doy1CoZD9wRgM5DxpGTtbz6ca5T7MH+Crx0jthbt1Iz7dEw+98TRtvK829bK/hgnm1yk+QOWh4Z55gZ+MkJtn+b75eX8P2KErfEHttpJLVVJexcM4uaikL8Q9sxbOKn9q6ElaU5Tk/Eg6O6MPCOt9i5+j12rHoXL/8ohtz9Pn4hji5k1RUFbF32hr1LYtsuN5M08CG3xFvfvpMWdBoTQ7sp8dTCmSIrXy432Ltf+egkp8kaMvKtzP/VyHXJCoZ1V1BYZuWb1UbySmyJrFYI9JG4O872XsfqWsgqsPDJLwbyS9x/E9S600hqK215X30270dM/NTebbXKRd4PuvMtdqx6j+0r38U7IIqhDfO+vIAtS215rz2b910GuT/vwVF2dq21lR2/0HZcN+FTezfaqrLz4x9w+1vsXPMeO8+WncHj3sc32BH/gDtmsHPVu6z//hnqasrQ+4TRbegTJKTc6dbYvbt1ILXeO/QS334egMyvF7Jv0hTUoYF4RDom4KhJz2L7TQ+QOGMK0Y+OpzYrl/0PvEjh6g32NDk/LEcV6EfcS4+hDgmkfO9htt3wNwwNJtFxlzXbDaiVEncN9Tj7onEzHy50bikM8JY5ddXedcyIXitxfS8NnlqJ7AIzHyyssk+iExkkJybUdosxdZLze/P+9Xk5xeXuOQ669xlGRXkJi//7EeWlRUTExPPYPz/A62y31eLCXCSZo+ysX/kDJpORT956xmk/N9z+ADfd+SAA9z35b3769n2+mPk8VZXl+AWGMmrsw/QfNsYtMZ/TPmUk1ZXFrP/5fSrLCwiObMfYJz6zd1stLzrj9JC3ojSfz152dD3dvPJLNq/8kqi47ox/1lYGh499kXWLZrH825epqijC0yeIrv3voN+Nk90aO9jGJ2rVFgZ0kqP3gNwSK3N/NdvHdHvrwGp1xJ9VaGXhBjMDk+QMSpJRXAHz15spONtL1GqFIB+JzrEyNEqoqLHNxvrbXnOzTNRiOLCdKq0n2kGjkOm9MOVmUv7Nu1jPTqIj9/aj4Sw9cv9glFFxlM2Z4WqXAKg62OaVqNt/ae/ma4pVW+tQKyXGDdOi1UicyDLx/veVTsduoK/zsbvziBFPbQ039tHgdbZ7+vvfV9qPXaPZStsIBYOT1Wg1tq7oJzKNvPVtxXmTZF1N6pfFv7Inn3ySe++9l+TkZFJSUpg5cyZVVVVMnDgRgPHjxxMeHs706dPRaDR06NDBaftzQ8YarncnydpwgKBwzZs7dy4TJ06krKzMqSL4V3XzQ0dbOoQmUaoaf9/SX11Kv+iWDqFJiov/2mNFLybAvznmqP9zXM2z8gF0uKvdxRP9hS1/o/lvXJvLmGFX7zkTILP4r39dvZC00+6Z4KUlPHzswZYOoUle1L3d0iE0ycfP+bZ0CI06kXblsxg3RZvWMZe9zX/+8x/eeustcnNzSUpKYtasWfToYZsResCAAURHRzfaoDRhwgRKS0tZtGhRE6K+sGuu5VE439dff01sbCzh4eHs3buX5557jttvv/2qqDgKgiAIgiAIQlNYr6KReo888giPPPKIy89cTVBZ35X0UrxcV09O/kXp9fpGlz/jXSuXIjc3l7vvvpt27drx97//nTFjxvDpp58C8OCDDzYa/4MPXt1P8ARBEARBEARBcB/R8thEF3qvSnh4+J8XyAU8++yzPPvssy4/e/nl/2fvvsOjqPbHj79ntmSTbHqDFBJqQg3Se+92EBtXr4peu3LVq/K1X1TUKxawd1FsKNjoRUR6J4ChE1JJJb1s/f2xsMuGDUGyMcDv83qefR6ye2b2s4czZ+bMKfNfHnnkEY+fBQYGenxfCCGEEEKIC4WdC2PO44VAGo8N1KZNm6YOoUEiIyOJjIysP6EQQgghhBDi/2sybFUIIYQQQgghRL2k51EIIYQQQghx0ZJhq94jPY9CCCGEEEIIIeolPY9CCCGEEEKIi5b0PHqP9DwKIYQQQgghhKiXNB6FEEIIIYQQQtRLhq0KIYQQQgghLloybNV7pOdRCCGEEEIIIUS9pOdRCCGEEEIIcdGy26Xn0Vuk51EIIYQQQgghRL2k51EIIYQQQghx0ZI5j94jPY9CCCGEEEIIIeoljUchhBBCCCGEEPWSYatCCCGEEEKIi5YMW/Ue6XkUQgghhBBCCFEv6XkU57323eKbOoQG0Wgu3Ltd63871NQhNIiiXrh5D2BpH93UIZwzg++FfXpZ9PKmpg6hQcY+1qupQzhnX5nWN3UIDWKzVTV1CA2iXsD15lTDK00dQoNUlV7YZQdCmjqAOknPo/dIz6MQQgghhBBCiHpJ41EIIYQQQgghRL0u7HFFQgghhBBCCHEGdrsMW/UW6XkUQgghhBBCCFEv6XkUQgghhBBCXLRssmCO10jPoxBCCCGEEEKIeknPoxBCCCGEEOKiJY/q8B7peRRCCCGEEEIIUS9pPAohhBBCCCGEqJcMWxVCCCGEEEJctORRHd4jPY9CCCGEEEIIIeolPY9CCCGEEEKIi5YsmOM90vMohBBCCCGEEKJe0ngUQgghhBBCCFEvGbYqhBBCCCGEuGjJgjneIz2PQgghhBBCCCHqJY3Hc6AoCj/++KPX9vfZZ58RHBzstf0JIYQQQgghHOwoTfK6GMmw1fPAddddx7hx45o6jItCnw4aBnfRYvSFnCI7P68zk5lvrzN955YqI3toCTEqFJbaWbTJwr4MGwCqAqN6akmKUwkNUKg2wcFsG4s2mSmrbJz4e7dXGdjJEf+x43Z+XW8hs6Du+DslqIzopiH4RPxLtljZn2lzfj7sEg1dWqoE+StYbZBVaGfZVssZ86Shbrg0lBH9gvD3Vdl7uJr3v80jJ99cZ/oOrQ1cNSKE1i0MhAZpmf5BNptSKpyfa1S48fIwunf0JypMR2W1jZ17K/ni5wKOl1i9Hv/140IZ2TcQP1+VvUeq+eC7/Hrjv3J4CK3jfAgN0vLShzls2lUr/svC6NbBzxl/yr5Kvvi5kOOl3ou/X0ctQ7pqCfBTyCm0MX+NmYw8W53pu7TSMKaXjpAAhYISOws2mNib7krfqaWGvh21xEao+BsUXvuuiuzCxis3vZNUBnTSOMp+kZ1fN1rJOkPZ7xivMKKblmAjFJbaWbrFyv4sz+mv6KuhV6KGBZssrP+z7jxpqEv7+dCvkx5fg8LhLCvfrqgiv/jM3zcoWc/wHj4E+itk5VuZ+1s1R485yoWfQeHSvj4kxWsJCVQpr7STcsjMr2urqTZ5J+bQAT1o9fBkgrp1whAdyZYJ95D784ozbzOoFx1efRxjh7ZUZ+RwcPq7ZM6e75Ym/u4bafXQZHyaRVCaspc9U6ZRsnmXd4L24PKBvgxM9sHXR+FQloWvllSQd/zMeT+kmw8jexsI8lfJzLPyzbIK0nI8H5P3TzTSqbWed34oY+eBuuuDc3XFIF8GdjXg56NwMNPMnMVnEX93H0b39iXIqJKRa+HrpZWk5Vg8pn3gugA6t9bz9vel7Njv3fgl75su7wEmDA9gaE8//Awq+4+a+PTnYnILz3xuGdHbj0sHGgkyakg/Zmb2ryUcznTEFh6s4Y3/RHncbubXRWzaXe313yAuLNLzeB7w9fUlMjKyqcO44HVppXJZHy3Lt1mYNd9ETqGNyWP1+Bs8p28RqXD9MB1b9lmZOd/EnjQbN43UERXiuFOk00JMmMKK7RZmzjfxxXIT4UEK/xylb5T4O7dUGddLy8odFt7+2cyxIju3jNadMf5rh2jZst/G2z+ZSU23MWm4lshg152ughI7v2ywMPNHEx8sMFNcZufW0Tr86thnQ109IoRLBwfz/jd5PPZqBjUmG0/fG4NOW/fdN4OPSlqWiQ++zfP4uY9epVWcge8WFfHwy+m8/GEOMVF6/u/O6EaIP5hLBwXx3nf5PP5aJjUmG0/dHX3G+H30KmlZNXw4N7/u+GN9mLvkOI/8L4NXPs4hOlLP1H8191rcya01XNFfx7ItZt74vprsQjt3XOaD0ddz+vgolUkj9Wzaa+H1udXsPmLlljE+NAt1/U69DtJyrCzY4KVWyhl0SlAZ21PDbzusvHOy7I/U1ln24yIUrh2sZet+R/rUdDs3DnMv+ye1b6EQF6FQWtF4DV+AET31DO7qwzcrqnj1q3JMZjv3jvdHq6l7m27tdFw92MCiDdW8/GU5Wfk27h3vj9HX8TuC/BWCjCrzV1fz4uflfLmkkg4JWiaN8vNa3Bp/P0pT9rH7gefOKr1vQiw9f36fwlUbWdPjSo7M+pzO7z9P+MgBzjTNJ46l/f+mcuD5t1nT62rKUvbSe8HH6CNCvRb3qUb3NjCsuw9zllTw0uxSasx2Hrgu4Ix53yNJzzXD/FiwpooXPi0hM8/CA9cFEOB3ehka3tOHxiw9Y/oYGN7DwJeLynnxsxJMZphyfeCZ42+v59rh/vyypoppn5SQmWdlyvWe4x/R00Bj/QDJ+6bLe4DLBhoZ1defT34q4Zl386kx23jsljB0Z+ga6t3ZwKRxQcxfWcaTb+eTfszMY7eEEejvaBIUlli5d/oxt9f3y0upqrGxc39N4/2YRma3K03yuhhdEI3H77//ns6dO+Pr60tYWBgjRoygoqKCIUOGMGXKFLe0V111Fbfccovz74SEBKZNm8YNN9yAv78/MTExvP3222f93QcOHGDQoEEYDAY6dOjAsmXLTkuTkZHBtddeS3BwMKGhoVx55ZWkpaUBsHTpUgwGA8XFxW7bPPjggwwbNgzwPGz1l19+oWfPnhgMBsLDw7n66qudn9XU1PDII48QExODv78/vXv3ZtWqVc7Pjx49yuWXX05ISAj+/v507NiRhQsX1vkbExISePHFF7ntttsICAigRYsWfPDBB87PV61ahaIobr9hx44dKIri/J0nf8Ovv/5KYmIifn5+XHPNNVRWVvL555+TkJBASEgIDzzwAFar93uLAAZ01rJpr5Wt+63kFdv5cY0FkwV6JHo+C/TvpGV/po3VKVbyix09ctkFdvp2dKSvMcPHi8zsOmyjoMRORp6dn9eaiY1QCfL3fvz9O2nYss/GtgM28ovt/LTWgtkC3dt5jr9vBw0HMm2s2W0lv8TO8m1Wsgvt9O3gSp9y2MahbDvHyyCv2M7CTRYMeoVmIY1ToV02NJi5S4rYtKuCo9km3pydS2iQht7JdWfYtj8r+erXQjae0tt4qspqG8+9lcW67eVk55nZn1bNh9/l0aaFgfAQ7w6euGxwMN8vPc7mE/HP/CKP0CANvbrUHf/21Eq+XlB05vjfyT4l/ho++j7fq/EPTtay8U8Lm/dZyT1u54ffTZjNdnomed7/wC5a9qXbWLXDQl6xnSWbzWQV2OjfyZV+234ry7ZaOJDZeD11J/XvqLJlv41tB23kl8DP662Ost/W8ymqXweVA1l21uxxpF+x3UpOkZ0+7d3TB/jBZb21zF1txdq4bUeGXuLDko3V7DpkIbvAxuzFlQQZFZLb6OrcZlh3Pet2m9iwx8yxIhvfLK/CZLHTt5PjBlVOoY2Pfqlk92ELBSU29mdY+WVNNZ1aaVG9dAjnL1nN/mfeIPen5WeVPv5f11N1JJPUR1+mfO9hjr4zh2M/LKHlg7c407SccisZH39H5ufzKE89xK57nsFaWU3cLRO8E3Qtw3saWLiump0HzGTlW/n01wqCjSpd29V9o29ELwNrdtawbpfjRuOcxZWYzNCvi49buthIDSN7+jJ7oefj2yvx9/JlwdoqZ/yf/FJOcIDKJYl1xz+yl4E/dtSwLqWGnAIrXy6qwGSB/snu8cdFahjV28BnC8obJ3bJ+ybLe4Ax/f35aVUZ21Kryci18N7cYoIDNHRvX/cd4rH9jfy2pZLV26rIzrfw6U8l1JjtDO7uuCllt0NJuc3t1aODLxt3VVFjauSKVFwQzvvGY05ODjfccAO33XYbqamprFq1ivHjx2O3n30B/t///kdycjLbt2/n8ccf58EHH/TYCKzNZrMxfvx49Ho9Gzdu5L333uOxxx5zS2M2mxk9ejQBAQH88ccfrF27FqPRyJgxYzCZTAwfPpzg4GB++OEH5zZWq5Vvv/2WSZMmefzeBQsWcPXVVzNu3Di2b9/OihUr6NWrl/Pz++67j/Xr1/PNN9+QkpLCxIkTGTNmDAcOHADg3nvvpaamhtWrV7Nr1y5efvlljEbjGX/rjBkz6NGjB9u3b+eee+7h7rvvZt++ffXm0akqKyuZOXMm33zzDYsXL2bVqlVcffXVLFy4kIULF/LFF1/w/vvv8/333/+l/Z4NjQox4QoHs1wXunbgYJaN+EjPxTw+SnVLD7A/s+70AAa9gs1u99qQsZM0KkSHKRzMrhV/to0WEZ6vEltEqhzKdj8ODmbZiIv0nF6jQs9EDVU1do4Vef8EEBWmJTRIy869rjG9ldU2DqRVk5jg3a5OP18Vm81ORZX3GjZRYVpCgrTs3Fcr/qM13o/fcDL+ht9I0agQE6G6DVe2AweybMRH1V32D2S5f/e+DBvxUWe43d5ITpb9Qznu8R/KsREX4Tn+uAjVLT3AgSw7caccKwowcaCWNbsdN5MaU1iQo4dwb7pr2Fq1CdKOWUlo7jlPNSrERWnYd9S1jR3Yd9RCyzq2ATD4KFSb7Nia6BouuE9XClaud3svf9kaQvp0BUDR6Qjq1pGCFetcCex2ClauI7jPJV6PJzxIJciokprmGg5YXWPnSLaFVjGeb55oVGjRTOO2jR3Ym2Z220anhclXGPl6WUWj9VyHB6sEG1VSj7hiqaqxc7ie+OOba0lNc52I7EDqEROtY1w3K/RauP0qI3OWNE78kveu+P/uvAeICNEQHKBh9yFXb2BVjZ1DmSbatvDc+NVooGW0jj0HXdvY7bDnYA1tWni+0ZUQrSMhWsfvWxtpvo644Jz3cx5zcnKwWCyMHz+e+Ph4ADp37vyX9tG/f38ef/xxANq1a8fatWt5/fXXGTly5Bm3W758OXv37mXJkiVERzuGyL344ouMHTvWmebbb7/FZrPx0UcfoSiOC5dPP/2U4OBgVq1axahRo7j++uv56quvmDx5MgArVqyguLiYCRM834V94YUXuP7663nuOdcwouTkZADS09P59NNPSU9Pd8b0yCOPsHjxYj799FNefPFF0tPTmTBhgjOfWrVqVW8ejRs3jnvuuQeAxx57jNdff53ffvuNxMTEerc9yWw28+6779K6dWsArrnmGr744gtyc3MxGo106NCBoUOH8ttvv3Hddded9X7Php8BNKpCeZV7JV1eZSci2PMFqNEXj+lPDhmrTauBMb207Dxko8bL0xb8fM4x/urT0wfUij8xTuW6IVp0WiivhE+XmKlshJEnwYGO6qSkzL1RUlxmdX7mDTqtws1XhvPH1jKqqr3XeKw7fgshgd5rVOm0CjddGcaabeVUVTf8osLfoHgsO2WVdiLrKDsBfgpllbXKTqXd47CrxuYq++7vl1dBeJDnbYy+UHFaejsBvq7fO7Czis0G61Mbv+c00M/xvbXztKzCRqC/5zw1+jr+32pvU1ppJyrU8/+bv0FhbB8D63Y1/lDiuvhEhVOTW+D2Xk1uAbqgAFSDD7qQIFStlpq8wlppCvFPrP9c9FcFGh15VVrh/v9cWmEjqK689zuR97Uu6ksrbDQLc11AXzvcj8NZ5kaZZ3dSkL/n+MsqbM7PajsZf+1GSWmFnWZhrt987Uh/DmVaGi1+yXuXvzvvAYIDTsRfXiv/y20EGT2fswL8VDQahZJy9/NcSbmN5hGeG5xDeviRlWfmQHrj/Za/Q+OfCf7/cd43HpOTkxk+fDidO3dm9OjRjBo1imuuuYaQkJCz3kffvn1P+/uNN96od7vU1FTi4uKcjTRP+9q5cycHDx4kICDA7f3q6moOHToEwKRJk+jTpw/Z2dlER0czZ84cLr300jpXWN2xYwd33HGHx8927dqF1WqlXbt2bu/X1NQQFhYGwAMPPMDdd9/N0qVLGTFiBBMmTKBLly5n/K2nfq4oCs2aNSMvz/MctLr4+fk5G44AUVFRJCQkuPV6RkVFnXG/NTU11NS4t2wsZjtanU8dW/w9VAVuHK5DUeDHNRdWBXo4x8ZbP5rwNyj0SNRw/VAd7/1ioqKBc94H9Qjgrhtcc3VfeDe7gZHWT6PCI5ObgQLvf+t5juHZGtTDyJ3XnRL/+39T/Lc2QwHe/+6vHV/i7EWHKfTtoOGdnxvnWO2RpOOGEa4Jpe/+2HjD6k4y6OHuq/3IKbSyYP2FO++ooXp10DNpjGsY+Vtzyxrle7q00ZEYr+OFT0u8ut/eHfX8Y6zrnDjru1Kv7v+k5LY6kuJ1TPu42Gv7lLw/O42R9wD9kn257UrXHbVXZxd5df+e6LTQt4svP/7WOP/X4sJ03jceNRoNy5YtY926dSxdupRZs2bxxBNPsHHjRlRVPW34qtn8917Yl5eX0717d+bMmXPaZxEREQD07NmT1q1b880333D33Xczf/58Pvvsszr36etbxyoXJ75Po9GwdetWNBr3O0snG2m33347o0ePZsGCBSxdupTp06czY8YM7r///jr3q9O5D1dQFAWb7cSqo6rj7tapee0pnz3t40z79WT69OluPa4A/S97ggFXPFnnNgCV1WC1new1dMVp9FUor/Tcu1NexWm9jEbf03twVAUmjdARYlT4cIHJ672OAJU15xi/4fT4y2rFb7ZAURkUldnJyLfw7wk6urfTsDqlYUMmN+0qZ3+aqwV6clGZoACN2yqiwQEajmQ2/GLX0XBsTkSIjmdmZTa413HTrgr2p2U4/647fq334r+1GRGhWp6eleWVXkeAimr7KWXHJcBPobSOslPmoZfR6KE38u/gKvvu7ztGBnjeprwK/E9L7yr78VEK/gZ4ZKKr/tGoCmN7aOjXQcOM7xt2EO86ZCbtmKuMnFxcI8DPvUci4MRKkp5/g+P/rfb/Q6Df6b0aPjq4Z7w/1Sb48OdKzlCFNrqa3AJ8osLd3vOJCsdcUoatugZTwXFsFgs+kWG10oRRc8y9x/Jc7Dxo4sgnrqG+2hPHbaC/SmmFK68D/VUy6sr7yhN5X6t3LNBfpeREL1RSvI6IEJXX/+1+o/quq40cyLTw2lfndjG944CJw9nFzr91Glf8JafEH+DvWMXzTPHX7tUO9HeVnZPxv/mw+yJFd48P4ECGhVfn/PWGk+R90+U9wLbUag5luEYdOPPfqFJc5qoUAo0q6Tme67iyShtWq/1Ez6QrTZBRPa03EqBXJ198dAprttdRGV9ALtbFa5rCed94BEeDo3///vTv35+nn36a+Ph45s+fT0REBDk5Oc50VquV3bt3M3ToULftN2zYcNrf7du3r/d727dvT0ZGBjk5OTRv3tzjvrp168a3335LZGQkgYGBde5r0qRJzJkzh9jYWFRV5dJLL60zbZcuXVixYgW33nrraZ9dcsklWK1W8vLyGDhwYJ37iIuL46677uKuu+5i6tSpfPjhh2dsPJ7JyUZwTk6Os8d3x44d57Sv+kydOpWHHnrI7b3/fln/Ba3VBlkFdtrEqPx51FGJKkCbaJV1f3o+CRzNtdEmWmXtbleF2TZW5egpjzc42XAMC3Q0HBtjuOfJ+LML7bSOVklNd8XfOlplQ6rnk3B6no3W0Qrr/nS91zpaJSPvzPmlKMoZV5I7W9U1do7VakkXlVjokuhHWpbjBOdrUGmbYGDxmobdQT7ZcIyO0PHUzCzKKhp+9ewp/uMlFrq0OzV+hbbxPt6J/9ZmNI/Q8fRbWZRXeu/q32qDrHwbbWNV9qQ5yooCtIlRWbu77rLfNkbDHymuz9vFqhzNbZzFrM7kZNlv1VwlNd0Vf6vmKhv3eo4nI99G6+aq22M32kQrZJx4BM2OQ7bT5gPfMlLLjsM2th1o+G+sMUNNrUdwlJTbSGyhJSvfUXYMekhopmHNTs9DTK02yMi1kthCS8ohx/+DArRroWX1Dtc2Bj3cO94fixXe/6kCy9//X+SmeMMOIsYOcnsvfHg/jm/YAYDdbKZk2x7Ch/V1PfJDUQgb2pej73zZ4O+vMUG+6fS8T0rQORvqBj20jNby+3bPFbbVBunHrLRP0DmHFSo4Lvp/2+a4IbZ4QxVrdrpv/8ztQXy3opKUg+d+88FT/MUn4s9wxq/QKlrL79s8Dw+x2uBojoX2CTrnox8UoH2CjpVbHdssWl/FH7Xif+6OYL5dXknKgXMb9ix533R5D1BtslNddPq0kI6tfEg/8ZgQXx+F1rF6Vmz0PBrCaoUj2WY6ttazNdURr6JAx9Y+LNtw+jZDuvuxbW81ZV48Z4kL33m/YM7GjRt58cUX2bJlC+np6cybN4/8/Hzat2/PsGHDWLBgAQsWLGDv3r3cfffdp61qCrB27VpeeeUV9u/fz9tvv83cuXN58MEH6/3uESNG0K5dO/75z3+yc+dO/vjjD5544gm3NJMmTSI8PJwrr7ySP/74gyNHjrBq1SoeeOABMjMz3dJt27aNF154gWuuuQYfn7qHYT7zzDN8/fXXPPPMM6SmpjoXvQHHnM1JkyZx8803M2/ePI4cOcKmTZuYPn06CxYsAGDKlCksWbKEI0eOsG3bNn777Te3xnJSUhLz58/3+N2etGnThri4OJ599lkOHDjAggULmDFjxllv/1f4+PgQGBjo9jrbIatrdlnomaihW1uViGCFqwZo0etg635HZXvtEB2je7rul6zdbaFdnMrAzhoighzPjIsJV1i/x5FeVeAfI3TEhKt8+5sZRXH0hhh9HY0Bb1u720qPdiqXtFGJCFK4op8WvdYV/zWDtIzq7mr1rf/TSttYlf6dNIQHKQy7ROOI/09Hep0WRnbXEBehEOzvGMo3foCWQD/YfaRxTgS//lbMxDGh9OzsT4toPQ/eFEVRiZWNO10npefuj2HsINfQG4NeISFGT0KMY75FVJiOhBi9cyVSjQqP3t6cNi18eP3zY6iKozczOEDjlUawW/y/F3PN6BB6dvKjRXM9D/zDEf+pz5189t5oxg6sO/7IMO1p8f9ncjNat/Dhjdm5qIri9fh/32mhd3stPRI1RAYrjB+kQ69T2LzXcUFx/TA9Y3u7euH+SLGQGKcyOFlLRLDCqB46YiPcG5u+Po4yc/LRNRHBKtFhCgF1D4w4Z2v32Bxlv7VKRJDjuYx6LWw94CinEwZoGNnNlVnr/rTRNkahf0eV8CAY1lVDdJjChhPzG6tqHKsLn/qy2qGsyk5B44xU47ftNYzpbaBzKy3R4So3jfGjpNzOzlMudu+/xp9BXV3zilZuNdGvs57eHXREhapcN8KAj05hwx5XA/TeCf7odQpzllZh0CsE+Dleipduomv8/QhMTiIwOQkAv5axBCYnYYhz3DBNfP4hkj992Zn+6Aff4NcyjqTp/8E/sRXxd91I84ljOfLmZ840R974lLjJ1xJz01UYk1rR6e1n0fr7kvH5PO8EXcuKzdWM62egSxsd0REabr3MSHG5jR37XRfq/74+gCHdXOeS5ZuqGZDsQ59OepqFqdw42g+9HtalOC76SyvsZBdY3V4ARaU2Cku8W3+u2FTFpf19SW6rIyZCw22XGykus7F9nyv+h24MZGh318JdyzZVM7Crgb6dfWgWpmHSWEc5WXtq/PlWt5cjfisFXoxf8r7p8h5g8doKrhoaQLckH2KjtNx5TTDFZVZnwxBg6m1hjOzjerzPorXlDOnhz8BLfImO0HLrFUH46JXTFsSJCtWQmKBn1RZZKEe4O+97HgMDA1m9ejVvvPEGpaWlxMfHM2PGDMaOHYvZbGbnzp3cfPPNaLVa/v3vf5/W6wjw8MMPs2XLFp577jkCAwN57bXXGD16dL3fraoq8+fPZ/LkyfTq1YuEhARmzpzJmDFjnGn8/PxYvXo1jz32GOPHj6esrIyYmBiGDx/u1hPZpk0bevXqxaZNm+qdbzlkyBDmzp3LtGnTeOmllwgMDGTQINed3k8//ZTnn3+ehx9+mKysLMLDw+nTpw+XXXYZ4OiBvffee8nMzCQwMJAxY8bw+uuvO7fft28fJSVn35Oi0+n4+uuvufvuu+nSpQs9e/bk+eefZ+LEiWe9j79DymEb/gYLI7vrCPBz9GZ8ssjkHPoW7K9w6ijn9Dw736w0M6qHltE9tRSU2PlimZnc445EQf4KHRIcF6wPTnBvwH7wq4nDOd49Cew64oh/eDctAb6QU2Tns6Vm59zEIA/xf7fKwojuGkZ111BYamfOCotzZUm7HSKCFLoNczzXsbLG0UP14UJzo60+OX/5cQw+CnffEIm/r0rqoWqmvZOF2eL6vmbhOgJPmczfOt7A8w/GOv++bYKjp3vlhlJmfZlLaLCWXl0cQ7Jfnxrv9n1PvpnJngPeG04zf3kxPnqVu64/Ef/haqa9m33m+FsYmPZAjCv+8Sfi31jKW3PyHPF3dsT/2uMt3L7vqZlZ7DnY8Ph3HrJi9DUzuqeOAD+F7AIbH/1a4yz7IUb3snM018ac5SbG9NYxtreOghI7ny2ucVuFt2OChuuHucr9TaMc/1662czSLd4du707zYa/AYZfosHoqyGnyM7nyyzOsh9sVLCfMpw7I9/Od79bGNFNy8hujrL/1UpLo6+qeibLN5vw0SncMNL3xMPSrbwzz72nMDxIdRtevG2/GaOfwqX9DAT4KWTlW3l7XoVz+HBcpIaWzR2n6Wcnu8+rf/qjUopKG/57g7p3ou+KL5x/d3j1/wDImD2PlMlT8WkegW+c65mkVWmZbL7iTjrMmErC/TdTnXmMXXc+ScGyNc40OXMXoY8Ipd0zD+DTLILSnalsuux2TLUW0fGWJRur0esV/jHGHz+DwsFMCzO/LXPP+xAVo5/rrt+WvSaMfgpXDPQl8MTw4pnfljXJ0O3FGxzx3zTWiJ9B4UCGmTe/LXWLPyJYxXjKEOctqSYC/Cq5cpAj/oxcC29+W3baQjSNTfK+6fIe4Nc/yvHRK9x2VTB+BpX9R0288lkh5lMGnUSGagjwc52zNu6qJtC/hAnDAwgK0HA0x8wrnxWetnDQ4O5+FJVa2XWwkYZc/c3syLBVb1Hsf+WZFxeghIQEpkyZctrzIMWF4/EPG7iySxPTaC7cCuvPbelNHUKDKN56GF4TadU+uv5E5ymD73l/b/KMiosu7Dk+Yx/rVX+i89TP09bXn+g8Zmuq56h4iXoB15sXet5XVVzYDbUvXzh/z1nrUptm0Z9+7QPqT3SBubDP7kIIIYQQQghxBrJgjvec93MeG9OcOXMwGo0eXx07dmzq8IQQQgghhBDivHHR9zympaXV+dkVV1xB7969PX5W+xETQgghhBBCiAuPzHn0nou+8XgmAQEBBARcfGORhRBCCCGEEMLb/r8etiqEEEIIIYQQ4uz8f93zKIQQQgghhLi4XeAL8Z5XpOdRCCGEEEIIIUS9pOdRCCGEEEIIcdGSBXO8R3oehRBCCCGEEELUSxqPQgghhBBCCCHqJcNWhRBCCCGEEBctu12GrXqL9DwKIYQQQgghhKiX9DwKIYQQQgghLlp2eVSH10jPoxBCCCGEEEKIeknjUQghhBBCCCFEvWTYqhBCCCGEEOKiZZPnPHqN9DwKIYQQQgghhKiX9DwKIYQQQgghLlryqA7vkcajOO/ZrBf2Elm+vpqmDuGcXT6+bVOH0CA5edamDqFBSopNTR3CObOYbU0dQoNMHK1r6hAa5CvT+qYO4Zxd8VTfpg6hQVK/TW3qEBrEZL5wz7m9O5ibOoQGefbJP5s6hAaKbuoAxN9AGo9CCCGEEEKIi5Y8qsN7ZM6jEEIIIYQQQoh6SeNRCCGEEEIIIUS9ZNiqEEIIIYQQ4qJll0d1eI30PAohhBBCCCGEqJf0PAohhBBCCCEuWjZZMMdrpOdRCCGEEEIIIUS9pPEohBBCCCGEEKJeMmxVCCGEEEIIcdGy22XBHG+RnkchhBBCCCGEEPWSnkchhBBCCCHERcsuC+Z4jfQ8CiGEEEIIIYSol/Q8CiGEEEIIIS5aNmTOo7dIz6MQQgghhBBCiHpJ41EIIYQQQgghRL1k2KoQQgghhBDioiUL5njPBdvzOGTIEKZMmdKo3/HZZ58RHBzcqN/hDbfccgtXXXVVU4chhBBCCCGEuIhdsD2P8+bNQ6fT/a3fabVa+d///sdnn33G0aNH8fX1pW3bttxxxx3cfvvtf2sswrO+HTUM7qolwFchp9DOT2tNZOTVfbupcyuV0T11hAQoFJTYWbTRzN50m/PzTi1V+nTQEhOh4m9QeH1uNTmFjXf7qmc7lX4dVIy+cOy4nUWbbWSf4fs6tFAYmqwh2AiFpbB8u5WD2a70V/bV0LW1+z2ig9k25qy0Nkr821bNYeOyj6kozScyNokR1z1FdEIXj2nzsw+w5peZHEvfQ2lRFsOumUrP4be4pVnz6yzWLnjL7b3QqJbc8exir8fevY1Cn/YKRgPkFsPSrTayi+pOnxQHgzurBPtDURms3GnjUI7r8yeu13jcbsUOGxv2er8MebPsqyqM7qklqYWGsECFahMcyLSyaKOZ0kqvhw5Anw4aBnfRYvSFnCI7P68zk5l/hvhbqozsoSXEqFBYamfRJgv7Mk7Er8ConlqS4lRCAxzxH8y2sWiTmbJGiP+3Rd+y9MfPKSkuJDahHTfc/hgt23bymPaPZfNYv+pXstMPAtCidXuunnS/W/rqqkrmfTmTHRt/o6K8hPDIaIZdegODR0/0fvAnXD7Ql4HJPvj6KBzKsvDVkgryjtvOuM2Qbj6M7G0gyF8lM8/KN8sqSMvxXLfcP9FIp9Z63vmhjJ0HzF6JOXRAD1o9PJmgbp0wREeyZcI95P684szbDOpFh1cfx9ihLdUZORyc/i6Zs+e7pYm/+0ZaPTQZn2YRlKbsZc+UaZRs3uWVmGvbs34OKas/oaq8gNBmSfS74gki4zzXmQCHdy1my7KZlB/PIjAsnl5jHqZF0mDn55VlBWxaPIOsA2upqS6jeUIP+l3xBEHhCY0Sf/c2Cr2TTqk3t9nIOVO9GeuoN4NO1Ju/pbjXm/93Xd315sZ93q83f1/0Dct+/pzS4gJi49tx7eTHSWjb2WPaNct+YOPvv5CdceLYbdWBK2+83y39Pdcke9z26pv+zcgrb/F6/ACTb4zn8pHNMPpr2LW3lBnvHiQzp7rO9P+YEMugvuHEx/pSU2Nj995S3p2dRkZWlTONXqdw722tGD4gAp1OZdP247z23kGOl3jn2G0KdrssmOMtF2zPY2hoKAEBAX/rdz733HO8/vrrTJs2jT///JPffvuNf/3rXxQXF/+tcZxktVqx2c58cv//SXJrDZf307F8i4U3f6ghp9DG5Et98Dd4Th8fpXLjCD2b91p58/sa9qRZuXm0nqgQVwWj1yqkHbOxaEPjV5gd4xVGdVf5PcXK+wst5B6HfwzT4OfjOX1suMKEARq2H7Lx/gIL+zJtXD9YQ0SQe7oDWTZe/d7sfP2wpnEajqlbFrLyh+n0v/Rebvm/+UTGJvHdzMlUlBZ6TG8xVREcHsvgqx7GPzCizv2GN2/LvS+tcb4mPfKV12NvH6cw4hKFP3bb+XiJjbxiO9cPUevM+5gwuLqvys7Ddj5aYmN/lp2JA1S3vH/jR6vb65eNNux2O3szvH8B5O2yr9dCTITKim0W3vy+htlLaogIVrllTB0Z0kBdWqlc1kfL8m0WZs03OeIfq68z/haRCtcP07Fln5WZ803sSbNx00idM36dFmLCFFZstzBzvokvlpsID1L45yi912PfvGYJcz+dwWXX3smTr35FXEI73vzvPZQWe76C3rd7C70GjOHh/37IY9M/JzSsGW88dzfHC/OcaeZ+NoM929cxecoLPDdzHsMvm8TXH77Mjk2rvB4/wOjeBoZ192HOkgpeml1KjdnOA9cFoPV8HQ9AjyQ91wzzY8GaKl74tITMPAsPXBdAgN/pF2jDe/rQGLfcNP5+lKbsY/cDz51Vet+EWHr+/D6FqzaypseVHJn1OZ3ff57wkQOcaZpPHEv7/03lwPNvs6bX1ZSl7KX3go/RR4R6Pf5DKQvZsOBlug2/l6vv+4Gw5oks+uQOqso915m5R7ez8ptHSOwxgavvn0dCh+Es+/J+io7tB8But7Psi/soK8pg1E1vM/7+eRhDoln48W2YTd6/a9I+TmF4V4U1e+x8svREvTn4zPXmVX1Vdhx21LP7s+xc09+93nzzJ6vb69dNjnpzX6b3S9CWtYv54fNXuXTinUx95RtiEhKZ9fzdlJV4zv8De7bQY8BYpjz7Ef958QtCwqOYNe1uigtznWmmf7jC7XXTPc+hKAqX9Bnh9fgBbhwfy4RLo3n13QPc+Z8dVFXbmPFsJ/S6uhtKXTsFMX9hNnf+Zyf/fmY3Wq3Ka892wuDjahLcP7k1/XuG8vQrqdz/RArhoXpemNq+UX6DuPBcsI3HU4etJiQkMG3aNG644Qb8/f2JiYnh7bffdkv/2muv0blzZ/z9/YmLi+Oee+6hvLzcLc1nn31GixYt8PPz4+qrr6aw0L0C+fnnn7nnnnuYOHEiLVu2JDk5mcmTJ/PII48409hsNl555RXatGmDj48PLVq04IUXXqj396xatQpFUdwaojt27EBRFNLS0pzxBQcH8/PPP9OhQwd8fHxIT08/bV/ff/89nTt3xtfXl7CwMEaMGEFFRcUZv3fFihX06NEDPz8/+vXrx759+5xpPA2LnTJlCkOGDHH+PWTIEO6//36mTJlCSEgIUVFRfPjhh1RUVHDrrbcSEBBAmzZtWLRoUb15ca4GdtGyMdXKln1W8o7bmbfajNkCPZM8d7AP6Kxhf4aN33dayCu2s3SzhawCO/07udJvO2Bl+VYLB7Iav5Hep73KtoM2dhy2U1ACv260YrbCJW08H6a9k1QOZttZ96eNglL4baeNnCI7vRLd01ttUFHtelWbGif+zSs+Jbn/tXTpN4Hw5m0YfcNz6PQGdq3/wWP65gldGDrhMTr0vBSNtu6LelWjwRgU4Xz5Gb1/Edc7SWHHITspR+wUlMLCzXYsFkhu5fkE3CtR4VAObNhrp7AUft9l59hx6NHWlf7UPK+ohnYxCml5UOz5UGwQb5f9ahN89KuJlENW8kvspOfZ+XGNidhIlWCj9+/eDuisZdNeK1v3W8krtvPjGgsmC/RI9Nx66d9Jy/5MG6tTrOQX21m21UJ2gZ2+HR3pa8zw8SIzuw7bKCixk5Fn5+e1ZmIjHD0e3rTsly8ZMHI8/YdfSXRcaybd+QR6HwNrV/7oMf3t/36RIWOvJa5lIs1jW3LzPU87biqkbHSmObR3J32HXEZipx6ER0YzaNQEYhPakXZwj3eDP2F4TwML11Wz84CZrHwrn/5aQbBRpWu7uo/LEb0MrNlZw7pdjsb+nMWVmMzQr4t7yyE2UsPInr7MXuj9gp+/ZDX7n3mD3J+Wn1X6+H9dT9WRTFIffZnyvYc5+s4cjv2whJYP3uJM03LKrWR8/B2Zn8+jPPUQu+55BmtlNXG3TPB6/Lv++JyknhNJ7DGekKg2DLjqWbR6A/u2zPOYfvfa2cS2HUDyoMmERLamx6gHCY9uz571jhtqJQVp5GXspP9VzxAR15ngiJYMuPIZLOYaDu1c4PX4eyUq7DjsqjcXbTlRb7b0XEf0bKdw6Bhs3GensAxW77ZzrNjRe3lS7XqzbbTC0UaqN1f+8gX9R4yn77CraB7Xmhv+9SR6HwPr6jh2b50yncFjriOuZRLNYlryj7uexW63sXfXJmeaoJBwt9fOzato17En4VGx3v8BwLWXxzB7bjprNhVx6GglL7yxj7BQHwb2Ca9zm0ee28OilXmkZVRyKK2CF9/cT7NIA4mtjQD4+2m4dEQUb31yhG27Sth/qJzpM/fTuX0QHdr9vZ024vx0wTYea/vf//5HcnIy27dv5/HHH+fBBx9k2bJlzs9VVWXmzJns2bOHzz//nJUrV/Loo486P9+4cSOTJ0/mvvvuY8eOHQwdOpTnn3/e7TuaNWvGypUryc/PrzOOqVOn8tJLL/HUU0/x559/8tVXXxEVFeW131lZWcnLL7/MRx99xJ49e4iMjHT7PCcnhxtuuIHbbruN1NRUVq1axfjx47HXM1P4iSeeYMaMGWzZsgWtVsttt932l2P7/PPPCQ8PZ9OmTdx///3cfffdTJw4kX79+rFt2zZGjRrFTTfdRGWl9++AalSIiVA4mOnqVbPjGGoXH+W5mLeIUjmQ6d4Ltz/DSos60jcmVYXoUIXDOe7/T4dz7MSGez4Rx0UoHD7mnv5Qjp3YCPf4E6IUHrlGy71XaLm0l4qv9ztfsFpMHEvfQ3xSP+d7iqqSkNSPrMPbG7Tv43lHefvxAbz35HB++eRhSouyGxquG1WF5iFwJNc9L4/k2okN85z3MWHKaekPH7MTU0d6fx9oEw07D3v/7vnfVfYNegWb3U5VjXd/g0aFmHCFg6fcoLEDB7NsxEd6jic+SnVLD7A/s+704IrfmzdPLGYz6YdSad+lt/M9VVVp36U3h/elnNU+TKZqrFYL/gGu7pfWScns3Pw7xwvzHA3LXZvJzT5Kh+Q+3gv+hPAglSCjSmqaa3RFdY2dI9kWWsV4vvmgUaFFM43bNnZgb5rZbRudFiZfYeTrZRWUVjT9ahXBfbpSsHK923v5y9YQ0qcrAIpOR1C3jhSsWOdKYLdTsHIdwX0u8WosVouJguw9xLTp63xPUVViWvclL32Hx21y03e6pQeIbTvAmd5mdfx/aLWuBryiqmi0eo6lbfNq/CfrzTQP9WZMHeesmDDltPSHc+pOf7Le3NEI9abFbCb9cCqJXVzHlKqqJHXuw5G/euwaAz1+XlpcyO5tf9Bv+NVeibm25lEGwkL1bNlZ7HyvotJK6v4yOiaefSPP389x06203AJAYmsjOp3Klp3HnWnSs6o4lldNp6QLt/FoszfN62J0wc55rK1///48/vjjALRr1461a9fy+uuvM3LkSAC3xXUSEhJ4/vnnueuuu3jnnXcAePPNNxkzZoyzQdmuXTvWrVvH4sWuuVWvvfYa11xzDc2aNaNjx47069ePK6+8krFjxwJQVlbGm2++yVtvvcU///lPAFq3bs2AAa4hMQ1lNpt55513SE72PK4+JycHi8XC+PHjiY+PB6BzZ8/j90/1wgsvMHiwY97E448/zqWXXkp1dTUGQx3jxjxITk7mySefBFyN6PDwcO644w4Ann76ad59911SUlLo08e7F0H+BtCoCmVV7u+XV9mJDPZ8QRngp1DuIb2nYVeNzc8HVFWhotY0hYpqO+FBnuMxGhyfn6q82vH+SQezbaRmQHG5nRCjwvCuGiYNU/h4idWrK49Vlh/HbrPiHxjm9r5fYBiFuYfPeb/NE7ow7ubphEa1pLw0n7UL3mbOjEnc9tQv+BiMDQ3bEaO+rryHMM/XBCfy/vT0/r6e03duqWAy0yhDVv+Osq/VwLg+OnYetFLj5RHcfifiL6+qVZar7ETUEb/RF4/pjb51xz+ml5adh2xejb+87Dg2m5XAYPfe8IDgMHKy0s5qHz/MfpOgkAi3Buj1tz/Gl+9O47E7RqNqtKiKwk13P0W7jt29F/wJgUZHHpdWuDfGSytsBPnXUff4KY4yV6tBWFpho1mYay2Ca4f7cTjL7LU5jg3lExVOTW6B23s1uQXoggJQDT7oQoJQtVpq8gprpSnEP7GVV2OprizGbrPia3SvM30DwijOP+Jxm6ryAnyN7j1KvsYwqsodvyk4oiXG4OZsWvI6A69+Fq3Ol11rP6ei5BiVZXXf9D4XXqs3a9zPWac6WW82xpBV57Eb5J7/AcFh5GZ5zv/a5n/5BkEhESR18Xw9s2HVzxh8/ejae3iD4/UkLMRxrB0vdr8jVlRsIjTk7O4SKwo8cHsrUv4s4Ui648Z+aIgek9lGeYX7DcaiYjOhwY1w91lccC6axmPfvn1P+/uNN95w/r18+XKmT5/O3r17KS0txWKxUF1dTWVlJX5+fqSmpnL11Vefto9TG48dOnRg9+7dbN26lbVr17J69Wouv/xybrnlFj766CNSU1Opqalh+PDGqSgA9Ho9XbrUPZk+OTmZ4cOH07lzZ0aPHs2oUaO45pprCAkJOeN+T91n8+bNAcjLy6NFixZnHdup+9BoNISFhbk1XE/2wObl5Z227Uk1NTXU1NS4vWcx29DqGmeu1cVuz1HXSTev2E5usYUHr9KREGXjyLHz/5ZY606uhSAiSSI6IZl3nxjK3q2LSO7feIuHeFtyK4XdR+1YL8ApyqoK/xipRwHmrT4/GgF/harAjcN1KAr8uOb8in/RvE/YvHYJj/z3Q3R6Vx3324JvOLx/F/dOfYOwiObs/3MbX334EkGhEQ3ufezVQc+kMa6xu2/NLWvQ/urSpY2OxHgdL3xa0ij7F6dTNTpG/GMWq394ktn/7YOiaohp3Ze4dgMbZc5pY0tuqbAn/fysN5fM/5itaxcz5dmP3Y7dU61f+SM9B46r8/O/auTgCB65u63z78emNXwY+0N3tqFlC3/unbqzwfs638mjOrznomk8nklaWhqXXXYZd999Ny+88AKhoaGsWbOGyZMnYzKZ8PPzO+t9qapKz5496dmzJ1OmTOHLL7/kpptu4oknnsDXt45uh7PcL+A2vNRsPv1Cx9fXF0Wpu2dMo9GwbNky1q1bx9KlS5k1axZPPPEEGzdupGXLlnVud+rKtSf3f3IxHlVVTxv26im22qvfKopyxv16Mn36dJ57zn3xg36X/h/9L3uyzm3AcTfTarMTUOu/wOirUFbpucYoq7Rj/AvpG1NlDdhs9tMWCPE3nN5DdFJ5teNzTrksMBoc79eluNzRWxkaoHi18ehnDEFRNactjlNZWoh/YN1zL/4qg18goVEJFOefPtf3XFWa6sp7qDhj3p9d+rgICA9UmL+uca6AGrPsn2w4BhsVPvilxuu9jgCVJ+J39BqeUpZ9FcrriL+8itN6GY2+p/deqgpMGqEjxKjw4QKT1+M3BoSgqprTFscpKy4kKDisjq0clv44m8XzPuXfz75HbEI75/ummmrmfzWLux99jS49BgIQm9COzCP7WPbTFw1uPO48aOLIJxbn31qtIx8D/VVKT+lpCPRXycjzvLhWeaXdUeZq9UwG+quUnOjBTIrXERGi8vq/3W9c3nW1kQOZFl77qnEarWdSk1uAT5R7feQTFY65pAxbdQ2mguPYLBZ8IsNqpQmj5ph7j2VDGfyCUVTNaYvjVJUV4hfguc70NYY7exmd6csL3XojI2I6MuGB+Ziqy7BazPgaQ/nx7euIiO3o1fjPWG/WcQ7yWG/6eD5nxYVDWKDC/PWNU286j91ai+OUFRcSGHzmc9aynz5n6fxPeeDp992O3VMd/HMbudlpTH7oFa/FvGZTEX/ucw0/1ukc140hwXoKj7sqt9BgPQeOlJ+2fW1T/tWavj1DuX/qTvILXb2XRcdN6HUqRn+NW+9jaLCOouJGWjRBXFAumjmPGzZsOO3v9u0dK0Nt3boVm83GjBkz6NOnD+3atSM7233eVPv27dm4ceNp+6hPhw4dAKioqKBt27b4+vqyYsWZlwr3JCLCsdpkTo5rzeodO3b85f2Ao5HWv39/nnvuObZv345er2f+/Pn1b3iG2E6NqyGx1Wfq1KmUlJS4vXqP/k+921ltkJVvp02Ma4ENBWgTo+ForueTT3quzS09QNtYlfQ60jcmmw2yi+y0auZ+MdaqmUJmgecL6Ix8Oy1rp2+ukJlfd/wBfo4hsmVV3m0ga7R6mrXoyNF9rvlEdpuNtH3riWnlvblCpuoKivMzzrg6619ls0HOccfc0FMlRClk1vGYlKxCOy1rpW/ZTCHLQ/rkVgo5RXbyir0WspvGKvsnG47hQQof/lpDZU3tvXiH1QZZBXbaxLhORwrQJlrlaJ7n+I/m2mgT7X76ahvrnv5kwzEsUOGjhaZGiV+r09GidXu3xW5sNhupKZtolVj3CJHF8z/j1+8/5MGn3iahjftFvdVqwWqxoKju5UtRNdjsDa+bakyQX2xzvnIKrJSU20hKcN3oM+ihZbSWw1kWj/uw2iD9mJX2p2yj4Ggwntxm8YYqpn1cyvOfuF4A362o5PMFjbD6yVko3rCDsGHuje/w4f04vmEHAHazmZJtewgfdspIJkUhbGhfijc0bO52bRqtnvDojmQdcl1n2G02sg9tILJFV4/bRLVIJvuQ+3VJ5sF1HtPrDQH4GkMpKUijIGs38e29OyLqTPVmVh3nrKxCOwmRHupND+kbu97U6nS0aNWefbvcj919uzbS8gzH7tIfP2XRDx9w35PvEN+m7gb5upXzadGqA7EJiV6LuarKStaxaucrLaOSwiIT3bsEO9P4+Wpo3y6APfvOfHNmyr9aM6hPGFOeTCEnz71y3HeoHLPZ5rbfuBhfmkUa2L3377/p4y12lCZ5XYwumsbj2rVreeWVV9i/fz9vv/02c+fO5cEHHwSgTZs2mM1mZs2axeHDh/niiy9477333LZ/4IEHWLx4Ma+++ioHDhzgrbfechuyCnDNNdfw+uuvs3HjRo4ePcqqVau49957adeuHUlJSRgMBh577DEeffRRZs+ezaFDh9iwYQMff/xxvfG3adOGuLg4nn32WQ4cOMCCBQuYMWPGX86HjRs38uKLL7JlyxbS09OZN28e+fn5zob0/PnzSUpK+kv7HDZsGFu2bGH27NkcOHCAZ555ht27d//l2M6Gj48PgYGBbq+zHbL6R4qFXu01dG+nITJY4epBOvQ62LLPcTFz3VAdY3q5OtvX7LKSGKcyqIuWiGCFkT20xEaorN3tumDy9YHmYYrzEQCRwSrNw5TTem28YUOqjW5tVZJbKYQHwmW9VXRa2HHIccF4VT8Nw7u6DtmNe220iVbo214lLBAGd1GJDlXYtM+RXqeFkd1UYsIVgvwdJ+nrB2spKoND2d7vXe05/FZ2rvmOXevnU5BziCVfP4u5porOfccD8Otnj/L7j64ybbWYyM1IJTcjFZvVRHlxLrkZqRzPO+pMs/KHl0nfv4mSwkwyD21j3vv3oagqHXpe5tXYN+61c0lrhc4JCmGBMLaHgk4LKScWari8t8KQLq6TwKZ9dlo1h96JCmEBMLCTQvMQ2HLAPV/1Wsdy9jsONW5vtrfLvqrCTSP1xEYofL3ChKI45hkafR2LpXjbml0WeiZq6NZWJSJY4aoBWvQ62Lrfcdf72iE6Rvd0xb92t4V2cSoDO2uICFIY0U1LTLjC+j2O9KoC/xihIyZc5dvfzI0a/8jL/8Efy+ez7refyck8zJz3X8RUU0X/YVcC8MmbTzLvy5nO9IvnfcrPX7/DP+99hrDIaEqOF1ByvIDqKsd8I18/I+06dueHz99g3+4tFORmsW7lz2z4/Vcu6T3Uu8GfsGJzNeP6GejSRkd0hIZbLzNSXG5jx35XL8O/rw9gSDdXXbx8UzUDkn3o00lPszCVG0f7odfDuhTHhWhphZ3sAqvbC6Co1EZhiXdu0Gn8/QhMTiIw2XFO82sZS2ByEoY4x9SLxOcfIvnTl53pj37wDX4t40ia/h/8E1sRf9eNNJ84liNvfuZMc+SNT4mbfC0xN12FMakVnd5+Fq2/Lxmfe14BtSE6D/wn+zbPZf/WHzmed4g1Pz2H2VRFu+6OKTS/ffcYmxa/5kzfqf/NZOxfQ8ofn1Kcd5ity9+iIGsPHfve6ExzeNdisg9vorQog7Q/V7Dw48nEdxhObLv+Xo9/0z47XVudqDcDTqk3j5xSb3Z21Zub9zvqzV4n682Ojnpz68HT682kOKVRFso51bDLb2Lt8nlsWOU4dr/58HlqaqroO/QqAD6b+QQ/znnTmX7p/E/49Zu3ueme5wiNOP3YPamqspxt65c22kI5p/rulyz+eW0c/XuF0irejyentKOwqIY/Nrh6qN/4b2fGj2vu/PuhO1szanAk/52xj8oqK6HBOkKDdej1jsqxotLKguW53HdbKy7pHES71kamPtCOXXtL+XP/hdt4vJC8/fbbJCQkYDAY6N27N5s2baoz7YcffsjAgQMJCQkhJCSEESNGnDG9N1w0w1YffvhhtmzZwnPPPUdgYCCvvfYao0ePBhzzAF977TVefvllpk6dyqBBg5g+fTo333yzc/s+ffrw4Ycf8swzz/D0008zYsQInnzySaZNm+ZMM3r0aL7++mumT59OSUkJzZo1Y9iwYTz77LNotY6sfOqpp9BqtTz99NNkZ2fTvHlz7rrrrnrj1+l0fP3119x999106dKFnj178vzzzzNx4l+b1xUYGMjq1at54403KC0tJT4+nhkzZjgX9SkpKXF7DMfZGD16NE899RSPPvoo1dXV3Hbbbdx8883s2tU4D00+VzsPWfE3OB4OHuCnkF1g5+MFNc5hn8EBitu8j6O5Nr5aYWJMLx1jemspKLEze4mJ3OOuVB0SNFw31DVBfNJIx7+XbTGzbIvnu/Lnas9RO34+NoZ00WD0hWPH7cxZaXUOAQryd3/IbWaBnXlrrAztqmFYV5WiMvjmdyv5J6YY2e0QGayQ3ErFoIOyKsdqrL/ttDbKHJL2PcZRWV7Eml9nUlGaT2Rse669/yPnsNXSohwUxXXlXl6Sx2cvXuX8e9PyT9i0/BPi2vbixoe+AKDs+DF++eQhqiqK8TWGEtu6Ozc9+h1+Ad59XEdqhmP41eDOCv4Ghdxi+GaVjYoTN2SD/BXsp5SerEL4cb2NIZ1VhnRRKCqDuWtszrw/qWO8ggLsSW/ciyBvl/0gf4WOLR09k/+e6D7O7L2fazic7d0ClHLYhr/BwsjuOgL8ILvQzieLTK74/RW3+SrpeXa+WWlmVA8to3s64v9imdkt/g4JjvgfnOB+8+mDX00czvFe/D0HjKas9Dg/f/0upcWFxLZM5IGn3ibwxLDVooJjKKqr3P++ZC4Wi5n3/+c+ouKya+/kiusd54o7HnqJ+V/O4uM3/o+K8lJCI5pz1Y33Mnh048zzXbKxGr1e4R9j/PEzKBzMtDDz2zIsp4xaDQ9RMfq5fseWvSaMfgpXDPQl0F8lM8/KzG/L/tZh/0HdO9F3xRfOvzu8+n8AZMyeR8rkqfg0j8A3znXRXJWWyeYr7qTDjKkk3H8z1ZnH2HXnkxQsW+NMkzN3EfqIUNo98wA+zSIo3ZnKpstux1RrER1vaN1lHNXlx9m6fCaVZQWENW/P2Fs/cA5brSh2rzOj4i9h2PX/Y8vSN9m85HWCwuMZ+Y9ZhDZzDZ2sLM1nw4KXqSp3DH9te8mVXDLsbq/HDo56088HBnVy1Zvf/u6qNwP9FLcpL1mF8NN6G4M7qwzprHC8HL5fe3q92aGFo978s5HrzR79x1Beepxfv3mH0uICYhMSue+Jd5zH7vGCY84pRQCrlzqO3Q9ffdhtP+Mm3sVl17nyeOvaxdjt0HPA2EaNH+CreZn4GjT85562GP217Eot4ZHn9mAyu/IuupmBoEDXKIGrx0UDMOtF9x7WF9/cx6KVjjUpZn18CJu9Fc8/1h6dTmXT9uO89t7BRv89Ar799lseeugh3nvvPXr37s0bb7zB6NGj2bdv32lPWADHI/duuOEG+vXrh8Fg4OWXX2bUqFHs2bOHmJiYRolRsdf3DIcLQEJCAlOmTHFbUVVcPB59r46JZxcIf+OFe48mLlpXf6LzWE4dc7YuFCUX8PwSVXNhD9cZ2+88XKXjL/jqlzNMfj7PXfFU3/oTncdSv01t6hAa5NSGx4Wmd4fza1Gsv+rZJzc3dQgN8sdPA5s6hDp9v7Fp6vRrev+14S69e/emZ8+evPXWW4BjOHVcXBz333+/86kSZ2K1WgkJCeGtt95y6yTzpotm2KoQQgghhBBCnC9qamooLS11e9V+qsBJJpOJrVu3MmLECOd7qqoyYsQI1q9f73Gb2iorKzGbzYSGeneE1qmk8fg3efHFFzEajR5fJ4eUCiGEEEIIIbzLbm+a1/Tp0wkKCnJ7TZ8+3WOMBQUFWK1W56PtToqKiuLYsWNn9Tsfe+wxoqOj3Rqg3nbhjqc7RVpaWlOHUK+77rqLa6+91uNnDXnEhxBCCCGEEOL8M3XqVB566CG393x8GufZ5S+99BLffPMNq1atwmAw1L/BObooGo8XgtDQ0EbtQhZCCCGEEEKcP3x8fM66sRgeHo5GoyE3N9ft/dzcXJo1a3bGbV999VVeeuklli9fTpcudT9uxhtk2KoQQgghhBDiotVUw1b/Cr1eT/fu3d2eF2+z2VixYgV9+9a9kNgrr7zCtGnTWLx4MT169DjXLDpr0vMohBBCCCGEEE3soYce4p///Cc9evSgV69evPHGG1RUVHDrrbcCcPPNNxMTE+OcN/nyyy/z9NNP89VXX5GQkOCcG3lyXZXGII1HIYQQQgghxEXLZr8wHh913XXXkZ+fz9NPP82xY8fo2rUrixcvdi6ik56e7vb80XfffReTycQ111zjtp9nnnmGZ599tlFilMajEEIIIYQQQpwH7rvvPu677z6Pn61atcrt76ZYNFQaj0IIIYQQQoiL1l+dfyjqJgvmCCGEEEIIIYSolzQehRBCCCGEEELUS4atCiGEEEIIIS5aMmzVe6TnUQghhBBCCCFEvaTnUQghhBBCCHHRsknPo9dIz6MQQgghhBBCiHpJ41EIIYQQQgghRL1k2KoQQgghhBDiomW3K00dwkVDeh6FEEIIIYQQQtRLeh6FEEIIIYQQFy15VIf3SONRnPd2bTjQ1CE0iN7Xp6lDOGelnWObOoQGsVov7LNF+0RjU4dwzg4drmrqEBoko8i3qUNoEJvtws3/1G9TmzqEBml/XfumDqFB1r2f0tQhnLPs44amDqFBJkwe0NQhCFEvaTwKIYQQQgghLlryqA7vkTmPQgghhBBCCCHqJY1HIYQQQgghhBD1kmGrQgghhBBCiIuWLJjjPdLzKIQQQgghhBCiXtLzKIQQQgghhLhoSc+j90jPoxBCCCGEEEKIeknjUQghhBBCCCFEvWTYqhBCCCGEEOKiJc959B7peRRCCCGEEEIIUS/peRRCCCGEEEJctGTBHO+RnkchhBBCCCGEEPWSnkchhBBCCCHERctma+oILh7S8yiEEEIIIYQQol7SeBRCCCGEEEIIUS9pPDahIUOGMGXKlKYOQwghhBBCiIuW3d40r4uRzHkUF6Wbro5izOBQ/P00/HmggrdmZ5Gda6ozfad2/lwzLoI28b6Ehej478w01m8rdUvz0O2xjBwQ6vbell1lPDXjiFdjv/GyMEYOCMbfV2Xv4Sre/SqXnHxznek7tPHl6pGhtGlhIDRYy4vvZbFxZ7lbmusvDWNgjwDCQ3RYrHYOpVfz5U8F7E+r9mrs/TtpGdJVR4CfQnahjfl/mMjIq3uiQZfWGsb20hMSoFBQYufX9Sb2plvd0ozuqaNPBy2+PgpHcmz8sLqGgpLGq5HH9tbTp+PJ77My97f6v29AZx3Dup343QWOGNNzXb+7b0ct3dvpiI1UMegVpr5fTlXdxfGc7Fg9hy0rPqaiNJ+ImCSGXvMUzRO6eExbkHOAdQtmkpexh9KiLIaMn0q3obfUue9NSz9gzS8zuGTIzQyd8IR3Az+hb0cNg7tqCfBVyCm089NaExl5ded751Yqo3vqnGVn0UYze9Nded6ppUqfDlpiIlT8DQqvz60mp7Bxys3mlXNYv+RjyksKiIpLYswNTxLTynPe52Ud4PefZpJzdA8lhdmMum4qvUf+0y2NzWbl95/fYveGnykvKSAgOJIu/a5m4GV3oyhKo/yGKwb5MrCrAT8fhYOZZuYsriDv+JknCQ3p7sPo3r4EGVUyci18vbSStByLx7QPXBdA59Z63v6+lB37667PzsWe9XNIWf0JVeUFhDZLot8VTxAZ5zn/AQ7vWsyWZTMpP55FYFg8vcY8TIukwc7PK8sK2LR4BlkH1lJTXUbzhB70u+IJgsITvBp36IAetHp4MkHdOmGIjmTLhHvI/XnFmbcZ1IsOrz6OsUNbqjNyODj9XTJnz3dLE3/3jbR6aDI+zSIoTdnLninTKNm8y6uxn9S7vcrATlqMvnDsuJ1f11vILKj7OOuUoDKim4Zgo0JhqZ0lW6zsz3SVs2GXaOjSUiXIX8Fqg6xCO8u2WsjMb5xjd8tvJ4/dfKLikhh9w1PEtPRcdvKzDvD7zyeP3SxGXjeV3iNucUsz6/FhlBRmnbZt9yE3MnbSM16Pf/faOez4/WMqywoIa57EgKueJKqF5/iLjh1g05KZFGTtoex4Nv2umErywH+elu6v7FP8/0l6HsVFZ+K4CK4YGc6sz7OY8t+DVNfYeP7hluh0dV90GXxUDqdX8c4Xp1f6p9qcUsqND/7pfL38brpXYx8/KpRLh4bw7le5/OeVdKprbDz7QCw67ZljT8uq4f1vcutMk51n4oNv83jg+TQefzWdvEIzzz4QS6BR47XYu7bRcEV/PUu3mHl9bhXZBTb+dZkBo6/n9AnNVP4x0oeNqRZem1vF7iMWbh3rQ7NQ128deomOgV10fP+7iTd/qMJksfOvywxovRe2m+HddAxK1jH3txpe/64KkxnuutL3jN93SVstVw3Us3iTiVe/qSSrwMZdV/hi9HX9Dr1WITXdwrItXm4xnrBv60J+nz+dPmPv5R+PziciJol570ymsqzQY3qLqYqg8FgGXPEw/oERZ9z3saMppKz9hvDoxMYIHYDk1hou76dj+RYLb/5QQ06hjcmX+uBv8Jw+PkrlxhF6Nu+18ub3NexJs3LzaD1RIe55nnbMxqIN3m2o1LZn00KWffcSgy6/lzuenkdUXCJfvXE7FaV15X01IRFxDJvwMMYgz3m/btGHbF31NWNufIq7py1g2ISHWb/4Izav+KJRfsOYPgaG9zDw5aJyXvysBJMZplwfeMZy36O9nmuH+/PLmiqmfVJCZp6VKdcHEOB3el01oqcBGul+z6GUhWxY8DLdht/L1ff9QFjzRBZ9cgdV5Z7zP/fodlZ+8wiJPSZw9f3zSOgwnGVf3k/Rsf0A2O12ln1xH2VFGYy66W3G3z8PY0g0Cz++DbOp0quxa/z9KE3Zx+4Hnjur9L4JsfT8+X0KV21kTY8rOTLrczq//zzhIwc40zSfOJb2/5vKgeffZk2vqylL2UvvBR+jjwg9w57PTeeWKuN6aVm5w8LbP5s5VmTnltG6Oo/bFpEK1w7RsmW/jbd/MpOabmPScC2Rwa4yU1Bi55cNFmb+aOKDBWaKy+zcOlqHXx37bIg9mxey7LvpDLz8Xm5/aj5RsUl8/cbkOo9ds6mK4PBYho2v+9i97YnvmfLqGufrxn9/CkD7HmO8Hv/BHQtZ+8tL9Bh5L9dMmUdYdCK/fnQ7lXWUfYu5msCwOHqPexi/AM/x/9V9Xkik59F7pPF4nvjiiy/o0aMHAQEBNGvWjBtvvJG8vDzn56tWrUJRFFasWEGPHj3w8/OjX79+7Nu3z20/zz//PJGRkQQEBHD77bfz+OOP07Vr1zq/92z2e8stt3DVVVe5bTdlyhSGDBni/HvIkCHcf//9TJkyhZCQEKKiovjwww+pqKjg1ltvJSAggDZt2rBo0aIG5dPZuGpUON/8nMuG7aWkZVbz6ocZhIXo6NctsM5ttuwqY/a8XNbV6m2szWyxc7zE4nyVV1rPmP6vunxYCHMXFbIppZyjWTW88dkxQoO09OlqrHObbXsqmPNzARtq9TaeavXmMnburSS3wExGjomPv8/H31dDQoyP12IflKxjw58WNu+1kHvczg+/mzBb7PRK0nlMP7CLjn3pVlbtMJN33M7iTWay8m307+xKP6iLluVbTexJs5JTaOfrFTUE+it0atk4rcdBXXUs3Wxi9xErOYU25iyrJshfoXOrugdpDOmqY/0eM5tSHb977m81mCx2endwbfP7TjMrtpo5eqxxlnvb+tundOp7LZ36TCCseRtGXPccWr2B3et/8Ji+WXwXBl/1GEndL0Wj1de5X1NNBQs//w8jb3geg19Qo8QOMLCLlo2pVrbss5J33M681WbMFuiZ5DnfB3TWsD/Dxu87LeQV21m62UJWgZ3+nVzptx2wsnyrhQNZjbvE3oZln3HJwIl0HTCBiOg2XPqP59DpDexY4znvo1t2ZsTER+nU61I0Ws/HRuah7SR2HU7bLkMIDo+lQ48xtOrYn6wjjdN7NLyXLwvWVrHzgJmsfCuf/FJOcIDKJYl1l42RvQz8saOGdSk15BRY+XJRBSYL9E92r1PiIjWM6m3gswV1108NseuPz0nqOZHEHuMJiWrDgKueRas3sG/LPI/pd6+dTWzbASQPmkxIZGt6jHqQ8Oj27Fn/FQAlBWnkZeyk/1XPEBHXmeCIlgy48hks5hoO7Vzg1djzl6xm/zNvkPvT8rNKH/+v66k6kknqoy9TvvcwR9+Zw7EfltDywVucaVpOuZWMj78j8/N5lKceYtc9z2CtrCbulglejR2gfycNW/bZ2HbARn6xnZ/WWjBboHs7z/Vz3w4aDmTaWLPbSn6JneXbrGQX2unbwZU+5bCNQ9l2jpdBXrGdhZssGPQKzUK83+O+cdmnXDLwWrr2dxy7404eu2vrOna7MGLiY3TsVXe96R8QijEowvk6mPIbIREtiG/Xy+vx71z9GR16TySp5wRCo9owePxz6HQG9m7yHH9kXGf6XfYobbvWXff81X2K/z9J4/E8YTabmTZtGjt37uTHH38kLS2NW2655bR0TzzxBDNmzGDLli1otVpuu+0252dz5szhhRde4OWXX2br1q20aNGCd99996y+/0z7PVuff/454eHhbNq0ifvvv5+7776biRMn0q9fP7Zt28aoUaO46aabqKz07t3bUzWL0BMarGP7n64LlcoqG/sOVZLU2r/B+++SZOTrmR34cHoi990cQ4C/9xoxUeE6QoO07Nzryp/Kahv7j1ST2LKO7rtzoNXA6AFBlFdaOZJZ45V9alSIjVA5kOlqTNuB/ZlW4pt5rmbio1T2Z7o3vvdlWEmIcqQPDVQI9FfZn+G6+K82QXqujfhm3m88hgUqBPmr7M9wxVRtgqO5NhLq+A0aFWIj3bexA/szrCQ0QoyeWC0mcjP2EJ/Yz/meoqrEJ/YjJ217g/a98rv/0qrjYOKT+tWf+BxpVIiJUDhYq+wcyLQSH+U531tEuZc1cOR5izrSNxarxUTO0T207OCe9y3b9yXz8I5z3m9s60s4krqewmOOIfHHMvaScWAbbToPamjIpwkPVgk2qqQecfXQVtXYOZxtoVWM58a7RoX45lpS01w96XYg9YiJ1jGui1K9Fm6/ysicJRWUVnj/FrzVYqIgew8xbfo631NUlZjWfclL3+Fxm9z0nW7pAWLbDnCmt1kd+aDVuhrBiqqi0eo5lrbNuz/gLwru05WClevd3stftoaQPl0BUHQ6grp1pGDFOlcCu52ClesI7nOJV2PRqBAdpnAw21U/24GD2TZaRHhu6LWIVDmU7V4ODmbZiIv0nF6jQs9EDVU1do4Vebf8OI/d9u7HbkL7fmQdali9eep37Nr4M8n9J3h9uLnVYiI/aw+xbd3jj2nbl9yjO86bfYqLk8x5PE+c2lhr1aoVM2fOpGfPnpSXl2M0unqdXnjhBQYPdszNePzxx7n00kuprq7GYDAwa9YsJk+ezK233grA008/zdKlSykvr/+O75n2e7aSk5N58sknAZg6dSovvfQS4eHh3HHHHc543n33XVJSUujTp89Z7/evCAlyFOnjJe7zbo6XWpyfnautu8pYu6WU3AITzSP13DKhGdMebslD0w5i88J5LSTQ0dgoLnWPvbjM4vysIXp08ueRydH46BWOl1p4ZmYmZRXe6Tn1NyhoVIWySveMKK+yExni+YI+wE+hvFb6sko7AX6O9IEnhr+VVdVKU2V3fuZNJ4fb1f4NZZU2Av09f5+/r+ffXVZpJ6qO3+1tVRXHsdus+AWGub3vFxBGUe7hc97v3q0LyM34k0n/+b6hIZ6RvwFHHla5v19eZScy+Axlx0N6T0MmG1NluSPvjbXy3j8wnIJj5z4Xuv/Yf1FTVcE7T41DVTXYbFaGXj2Fzn0ub2jIpwnyd+RxaYV7D21Zhc35WW1GP0e5r90gLK2w0yzM9X9w7Uh/DmVa2HmgcYYOV1cWY7dZ8TW6579vQBjF+Z7zv6q8AF9juHt6YxhV5QUABEe0xBjcnE1LXmfg1c+i1fmya+3nVJQco7Isv1F+x9nyiQqnJrfA7b2a3AJ0QQGoBh90IUGoWi01eYW10hTin9jKq7H4+TiO2/Kq0+v8iDqOW6MvlFefnj7A1/24TYxTuW6IFp0Wyivh0yVmKr1zn9Pp5LHrX+vYNQaGUXjs3OvNU+3bvpzqyjKS+1/tlf2dqvpEvV+77PsZwynOO7e6pzH2eT7xxnWacJDG43li69atPPvss+zcuZPjx49jO/E00/T0dDp06OBM16WLa9Jy8+bNAcjLy6NFixbs27ePe+65x22/vXr1YuXKlfV+/5n2e7ZO3YdGoyEsLIzOnTs734uKinLuty41NTXU1LifJWxWE6rG8xCRoX2Duf+fMc6/n3k97azj/at+31ji/HdaZjVHMqr59H9JdEkysiP1rw/JGtwzgLtvbOb8e9o7mV6Jsy679lcy5cU0Ao0aRvUP4tHbm/OfV9IpKfPu0NsLRfd2Wq4d6upd+OCXqjOk/v9L2fEcVv3wAhPu/QStzntDm8XZ2bNlEbs3/sLVd7xKRHQbcjP2svSbFwkIimzwhWjvjnr+MdZ1Q3LWd2ceqn+uktvqSIrXMe3j4kbZf2NRNTpG/GMWq394ktn/7YOiaohp3Ze4dgMba9qmqOVwjo23fjThb1Dokajh+qE63vvFRIV313drdDvW/ECbToMICI5q6lCE8CppPJ4HKioqGD16NKNHj2bOnDlERESQnp7O6NGjMZncF9jQ6VxDgk4OgzjZ0GyIM+1XVVXstWb9ms2n30k+dR8n9/NX450+fTrPPee+eEDr5Lto2/Vuj+k3bC9l7yHXMM+TC8uEBGndeh9DArUcSvfumedYvomSUgvNo/TsSP3r229KKWdfWprz75OxBwdqOV7qatAFB2i9Mry0xmTnWL6ZY/lm9h+p5t3nWjKiXxA/LClq8L4rqu1Ybaf3/Bh9T++VO6ms0o6xVvoAP4WySkf5KD2xXUCtfQT4KmQVNrzM7z5i4WiuK5+1GsUZQ+mp3+enkpXvuYFdUeX5d9feR2Py9Q9BUTVU1lrkobKsEP/A8Dq2OrPc9D1UlhXy5Svjne/ZbVYyD21mx+o5PPj6LlTVO8NyK6px5GGtkdn1lp2/kL6x+BkdeV9eK+8rSgswBp1b3gOsmPs/+o29g069LgUgKjaRksJs1i76oMGNxx0HTBzOLnb+rTtR7gP9VUpOGYkQ4O9YQdWT8kpHua/dIx/o7+qNTIrXERGi8ubD7gu13D0+gAMZFl6d0/BGq8EvGEXVnLY4TlVZIX4BnvPf1xju7GV0pi8vdOuNjIjpyIQH5mOqLsNqMeNrDOXHt68jIrZjg2NuiJrcAnyi3H+XT1Q45pIybNU1mAqOY7NY8IkMq5UmjJpj7r+5oSprHMetY2Ew13Fn9D19RMlJ5VVgNHg4R9TqvTRboKgMisrsZORb+PcEHd3baVid4r0bnSeP3dqL45SXFmI8x3rzVMWFWRxJXcc198xq8L48MZyo92uX/crygjrLflPs83xS+zr27/P3joj5O8icx/PA3r17KSws5KWXXmLgwIEkJSWdsXeuLomJiWzevNntvdp/n4uIiAhycnLc3tuxY0eD9+vJ1KlTKSkpcXu17jy5zvRV1TZy8kzOV3p2DUXFZrp2cN1Z9zOoJLb2Y++hCq/GGh6iI8CooajY8wVWfapqXI25Y/mOhWyKSix0SfRzpvE1qLRraWDfEe/3iikKZ1zF9a+w2iAz30bbGFeDQgHaxmrqXCTmaK6NtrHuDZB2cRrSTjzioqjUTmmFjbaxrmrKR+eY73b0WMMvImrMjpX9Tr6OFdkoqbDRNs4Vk4/OMTczrY7fYLVBZp7771BO/g4vxHg2NFo9UXEdSd/vmgtlt9lI37+e5gnnNs+pRWIfbp76Czc99qPzFdWiE+17XM5Nj/3otYYjOPIwK99Om1plp02MhqO5nvM9Pdfmlh6gbazq9niUv4NGq6d5fEfSUt3z/sjeDcS26nrO+zWbqlAU99OzoqrY7Q3/fTUmyD9uc76yC6wUl9tISnDd6DPoFVpFazmc5blus9rgaI6F9qdsowDtE3QcynLcWFy0vornPirhvx+7XgDfLq/ks1+9s3iORqsnPLojWYc2ON+z22xkH9pAZIuuHreJapFM9inpATIPrvOYXm8IwNcYSklBGgVZu4lvP9wrcZ+r4g07CBvmPuUjfHg/jm/YAYDdbKZk2x7Ch50yp1NRCBval+IN3pnHd5LVBtmFdlpHu8qpArSOVkmv47Ea6Xk2Wke7n3NaR6tnfCQPOG48e3uF7ZPH7pFax25a6npiWjd8fujOtfPwDwyjbechDd6XJxqtnoiYjmQedI8/6+AGouK7njf7FBcn6Xk8D7Ro0QK9Xs+sWbO466672L17N9OmTfvL+7n//vu544476NGjB/369ePbb78lJSWFVq1ccx3mz5/P1KlT2bt371nvd9iwYfzvf/9j9uzZ9O3bly+//JLdu3dzySXenYAP4OPjg4+P+zC5uoas1uXHpQVcf3kkWcdM5BaYuGl8FIXHzW4rqU5/tCXrtpbyywrHHTaDj0p0lOt7osL1tGphoKzcSn6RGYOPyqSroli7pYSiEjPRET7cdl0zsvNMbNtd1oBf7O6Xlce5dlwYOfkmcgvM3Hh5OEUlFjbscF1s/ffBWDbsKGfh78UnYldoHnFK7GE6Wsb6UFZhpeC4BR+9wsSxYWxKKed4iYVAo4Zxg0MIC9aydpv3Yl+908z1w3zIyLeRnmdlUBcdeq3Cpr2Oi8kbhuspqbCz8MSjE/5IMXPPlQYGJ2tJPWqla1stsREqc1e5ellXp1gY0V1PQYmdwlIbY3vpKa2ws/tI4zTMVu8wM6qHnvxiG0Wldsb1ccS867DrIvqeqwykHLayJsXxO1btMHPjCB8y8myk51oZ3FWPXquw8U/XNgF+CoF+CuFBjgun5uEqNSY4Xmbzylye7kNvZfGXjxHVohPN4ruwbdXnmGuq6NjH0XO4aPajGIOjGHjFw4BjYYTCY4ec/y4rySUvMxWdjx8hEfHoDUbCo9u5fYdO74fBP/i0973hjxQL1w7VkZlvIyPPxoAuWvQ62LLPkYfXDdVRUmFn8SbH32t2WbnrCj2DumhJTbfStY2G2AiVH353ZaavDwQbFYJO9I455k/aKKu0nzZfsiH6jLyFnz55nObxnYhu2YVNyx15n9zfkfc/fvwYAcGRDJ/gyvv87JN5b6asOJdj6anoffwIjYoHoG3yUNYsfI+gsOZERLfhWHoqG5d+RvIA76+YCbBiUxWX9vcl77iVgmIbVw7yo7jMxvZ9rpEvD90YyPZ9Jn7b6hjBsWxTNbddbiQtx8qRbAsjehnQ6xTWpjj+D0or7JR6mFNdVGqloMR7jfzOA//J73OnEhHTiYi4zuxeOxuzqYp23R09tL999xj+gVH0GvMQAJ3638wvH9xMyh+f0iJxMIdSFlKQtYeBV7tGvBzetRiDfyjG4OYUHdvP+l9eJL7DcGLb9fda3OB4VId/G9fUEL+WsQQmJ2EqKqE6I4fE5x/CEBPFzlsfA+DoB98Qf88kkqb/h4zPfiB8aB+aTxzL5ivudO7jyBufkvzJyxRv3U3J5hQSHvgnWn9fMj73vPpsQ6zdbWXCQC1ZBSqZ+Xb6ddSg18LW/Y7/92sGaSmtsLN0q+Pv9X9auX2cjv6dNOzLsNGllUpMuMKPax3HtU4LQ5I17E13HKd+BoU+7TUE+sHuI96/MdR75K38/MljNE/oREzLLmxc/jlmk+vY/enjRwkIiWLYeE/Hromy4yeOXYMfoZHxzv3abTZ2rp1Hl75XoWoa7zI7edAtrPz2cSJiOxEV14WUPxzxJ/V0xL/i68fwD4qkzzhX/MdzT8RvNVNRkktBlqPeDwqPP6t9CgHSeDwvRERE8Nlnn/F///d/zJw5k27duvHqq69yxRVX/KX9TJo0icOHD/PII49QXV3Ntddeyy233MKmTZucaUpKSk57vEd9Ro8ezVNPPcWjjz5KdXU1t912GzfffDO7djXOsvENNXdhPgYflQdujcHop2HP/gqemnEEs9l1d7N5pA+BAa7i37alL6883tr59503RgOwbE0Rr32Uic1mp2WsgRH9Q/D3UykqtrBtt+PxHmaL94ZCzFtahEGvcM+NzfD3U0k9VMVzszLdvqNZhN7t+YxtWhh44SHXBcjkiZEArFhfwszZx7DZIDZKz7B/RRPor6GswsaBo1VMnZFBRo73nju446AVf4OJ0b10BPrpySqw8eGv1c4L9WCje89J2jEbXy6vYWwvPeP66MkvtvPpohq3VfV+225Gr4Vrhujx1SscybHxwa/VWBqpU2/FNjN6ncJ1Q33w9VE4nGPl/Z+r3L4vPEjFaHD9ju0HLPj7KoztrSfQXyEr38b7P1e5LSTRv5OOMb1dDfwHJjh6l79aVs2mvefWc32qxO7jqCwvYt2CmVSW5RMR057x93zkHLZadjzHrServCSPL1++yvn31hWfsHXFJ8S26cW1DzbOswTPZOchK/4GGNVTS4CfQnaBnY8X1LjKToDiNt/saK6Nr1aYGNNLx5jeWgpK7MxeYiL3uCtVhwQN1w115fmkkY5/L9tiZtmWhuf5SR17OfL+959mUV6aT1Rce26c8qFz2GppYbbbSotlxXl8+F/X0NP1Sz5h/ZJPiG/Xk5sfdeT9mBufZNWPM1n05X+pKCskIDiSboOvY9Dl7nPavWXxhmr0eoWbxhrxMygcyDDz5relbuU+Ilh1G2a+JdVEgF8lVw7yJfDEENc3vy2jrBFWVT2T1l3GUV1+nK3LZ554qHl7xt76gXOYXUWxe9mPir+EYdf/jy1L32TzktcJCo9n5D9mEdrMdVOksjSfDQtepqrcMfy17SVXcskwz1MnGiKoeyf6nvLszg6v/h8AGbPnkTJ5Kj7NI/CNa+78vCotk81X3EmHGVNJuP9mqjOPsevOJylYtsaZJmfuIvQRobR75gF8mkVQujOVTZfdjqnWIjresOuIDX+DheHdtAT4Qk6Rnc+Wmp1zE4P8Fbfn3KXn2flulYUR3TWM6q6hsNTOnBWOx+2A45l4EUEK3YY5nutYWQNZ+TY+XGh2pvGmjj3HUVlWxO8/zaTixLF7w4MfOYetlhS5l52y4jw+mnaV8+8NSz9hw9JPaNGuFzf/x/X/eDh1HaVF2ST3b5ybPSe16TqOqooiNi+ZRWVZPuHR7bns9g+dZb+82L3uqSjNY+4brrpn5++fsPP3T4hu1ZMr7/7irPZ5IbtYn7nYFBR70w0CFn+DkSNH0qxZM7744u+/IPSWsbekNHUIDaL3vXAXHGnTObapQ2gQq/XCrt7aJ9b9fM/z3aHDF/YCRF06NsJTyf9Gv//R8LnMTSUxKaSpQ2iQ9te1b+oQGmTd+xfuOTepzYV7vgUobIRG8t9pyhXn7/y+WQuaJm/vv/T8zZNzJT2PF5HKykree+89Ro8ejUaj4euvv2b58uUsW7asqUMTQgghhBCiSXhhbUlxgjQeLyKKorBw4UJeeOEFqqurSUxM5IcffmDEiBFNHZoQQgghhBDiAieNx4uIr68vy5cvb+owhBBCCCGEOG/IJD3vkUd1CCGEEEIIIYSolzQehRBCCCGEEELUS4atCiGEEEIIIS5aNhm26jXS8yiEEEIIIYQQol7S8yiEEEIIIYS4aMmCOd4jPY9CCCGEEEIIIeoljUchhBBCCCGEEPWSYatCCCGEEEKIi5a9yVbMUZroexuP9DwKIYQQQgghhKiX9DwKIYQQQgghLlryqA7vkZ5HIYQQQgghhBD1kp5HIYQQQgghxEVLHtXhPdLzKIQQQgghhBCiXtJ4FEIIIYQQQghRLxm2KoQQQgghhLho2WTFHK+RnkchhBBCCCGEEPWSnkdx3kvq0aqpQ2gQvV7T1CGcs5R1B5o6hAZJ6NiiqUNokL37y5s6hHOmqhf2g5EPHbU0dQgNciHnv8l8YfcQrHs/palDaJB+d3Zp6hDO2c4v/2zqEBokI72sqUNooOCmDqBOsmCO90jPoxBCCCGEEEKIeknjUQghhBBCCCFEvWTYqhBCCCGEEOKiJcNWvUd6HoUQQgghhBBC1Et6HoUQQgghhBAXLZt0PXqN9DwKIYQQQgghhKiX9DwKIYQQQgghLlp2W1NHcPGQnkchhBBCCCGEEPWSxqMQQgghhBBCiHrJsFUhhBBCCCHERcsuC+Z4jfQ8CiGEEEIIIYSol/Q8CiGEEEIIIS5aNlkwx2uk51EIIYQQQgghRL2k8SiEEEIIIYQQol4ybFUIIYQQQghx0ZIFc7xHeh6FEEIIIYQQQtRLGo+iQYYMGcKUKVOcfyckJPDGG280WTxCCCGEEEKcymZvmtfFSIatCq/avHkz/v7+Tfb9/TvrGHaJjgA/hewCG/NW15CeV/cSW8mtNYzt40NogEJ+iY1f15lIPWp1SzOml56+HbUYfBTScqzMXVVDQUnj1Ah9O2gYlKwlwFchp8jOT2tNZObX/V2dW6qM6qkjxKhQUGpn0UYz+zIcv1dVYHRPLYktNIQFKFSb4ECWlUWbzJRVNkr4ANx0dRRjBofi76fhzwMVvDU7i+xcU53pO7Xz55pxEbSJ9yUsRMd/Z6axflupW5qHbo9l5IBQt/e27CrjqRlHvB7/Zf0NDOiix9dH4XC2ha+WVpFffOZl2gZfomdkTwOB/gqZeVa+XVHF0WOucnTjKF+S4rUE+avUmO0czrIyf3UVuUXeXf7tXMpqfceMVgNX9tdzSTsdWhX2Zlj5flUN5VXePQb6d9IypOuJOAptzP/DRMYZjt0urTWM7aUnJEChoMTOr+tN7E135XnnVhr6dtQRG6Hib1CY8W0V2YWNs9xez3Yq/TqoGH3h2HE7izbbyC6sO386tFAYmqwh2AiFpbB8u5WD2a70V/bV0LW1+73dg9k25qy01t6V11w+0JeByT74+igcyrLw1ZIK8o6fOb+GdPNhZG8DQf4qmXlWvllWQVqO5xjvn2ikU2s97/xQxs4DZq/G3r2NQu8kBaMBcoth6TYbOUV1p0+KhcGdVYL8oagMfkuxcSjH9fn/XafxuN2KHTY27vNuue/dXmVgJ62z7Py63kJmQd3f0SlBZUQ3DcFGhcJSO0u2WNmf6fp/GnaJhi4tVYL8Faw2yCq0s2yr5YznkXMVOqAHrR6eTFC3ThiiI9ky4R5yf15x5m0G9aLDq49j7NCW6owcDk5/l8zZ893SxN99I60emoxPswhKU/ayZ8o0Sjbv8nr8cGGXnZMu5HOWuDBJz6PwqoiICPz8/Jrku7u20XLVAD1LNpuY8W0l2YU27rzCF6Ov4jF9QjOVm0Yb2PinmVe/rWT3YSu3jTPQLNR1WAzrpmNQso65q2p4Y24VNWa46wpftJ7PDw3SpZWGy/rqWLHVwsx5NeQU2pg8zgd/g+f08VEqNwzXs3mvlZnzavgzzcrNo/REhTh+r14LMeEqK7dZeHNeDV8sqyEiWOWW0T7eD/6EieMiuGJkOLM+z2LKfw9SXWPj+YdbotN5/j8AMPioHE6v4p0vss64780ppdz44J/O18vvpns7fEb18mFoNx++WlbJK3PKqDHBAxP9z/j/3T1Rx4QhvixYV82Ls8vIzLfywER/Avxcvzn9mJXZiyp57pMyZs2tQFHggYlGlLqz5S87l7J6NsfMVQN86NhSy2eLqnlrfhVB/gq3jaujUJ6jrm00XNFfz9ItZl6fW0V2gY1/XWbA6Os5fUIzlX+M9GFjqoXX5lax+4iFW8f60CzUFbdeq3Akx8qC9XXfuPCGjvEKo7qr/J5i5f2FFnKPwz+GafCr4zCLDVeYMEDD9kM23l9gYV+mjesHa4gIck93IMvGq9+bna8f1jRew3F0bwPDuvswZ0kFL80upcZs54HrAs5Ydnok6blmmB8L1lTxwqclZOZZeOC6ALdyf9Lwnj401g349nEKw7sqrNlj55OlNvKK7Vw/WK0z/2PC4Kq+KjsO2/l4iY39WXau6a+65f+bP1ndXr9usmG329mX6d1f0bmlyrheWlbusPD2z2aOFdm5ZbSuzjq/RaTCtUO0bNlv4+2fzKSm25g0XEtksCvPC0rs/LLBwswfTXywwExxmZ1bR+vw8+4hC4DG34/SlH3sfuC5s0rvmxBLz5/fp3DVRtb0uJIjsz6n8/vPEz5ygDNN84ljaf+/qRx4/m3W9LqaspS99F7wMfqI0DPs+dxcyGXnpAv5nPV3s9vsTfK6GEnj8QL2wQcfEB0dja3Ww2uuvPJKbrvtNp599lm6du3K+++/T1xcHH5+flx77bWUlJQ4095yyy1cddVVPPfcc0RERBAYGMhdd92FyXRuF1y1h60WFxdz5513EhUVhcFgoFOnTvz666/ntO/6DOmqY/0eM5tSLeQetzP3txpMFju923vuYB+UrGNvupXftpvJO25n0UYTmfk2BnbROdMMTtaxdIuJ3Ues5BTa+Gp5NYH+Cp1beb/TfmAXLZv2Wtmy30pesZ35f5gxW6Bnoufv6t9Jw/4MG6tTLOQV21m6xUJ2gZ1+HR3pq83w0UITKYetFJTYSc9z9GTGRqgE+zfOGeCqUeF883MuG7aXkpZZzasfZhAWoqNft8A6t9myq4zZ83JZV6u3sTazxc7xEovzVV7p/YvpYd19WLShmpSDFrLybXy2sIIgo0rXtro6txnew4e1KSbW7zZxrNDG10urMJmhbye9M82aFBMHM60UldrIyLPy85oqQgNVwoK8VwWfS1mt75gx6KF3By0/ranhYJaVzHwbXy+vpmVzDfFR3ot9ULKODX9a2LzXEccPv5swW+z0SvKc7wO76NiXbmXVDsexu3iTmax8G/07u9Jv3W9h2RYz+zMbr9EF0Ke9yraDNnYctlNQAr9utGK2wiVtPOdP7ySVg9l21v1po6AUfttpI6fITq9E9/RWG1RUu17VjdgGHt7TwMJ11ew8YCYr38qnv1YQbFTp2k5f5zYjehlYs7OGdbtM5BTamLO4EpMZ+nVxv/KOjdQwsqcvsxdWNErsvRIVdhy2k3LETkEpLNpix2KB5Jae67ie7RQOHYON++wUlsHq3XaOFTt6oE46Nd8rqqFttMLRPCj28k/o30nDln02th2wkV9s56e1FswW6N7O85V/3w4aDmTaWLPbSn6JneXbrGQX2unbwZU+5bCNQ9l2jpdBXrGdhZssGPQKzUK8X+fnL1nN/mfeIPen5WeVPv5f11N1JJPUR1+mfO9hjr4zh2M/LKHlg7c407SccisZH39H5ufzKE89xK57nsFaWU3cLRO8Hv+FXHZOupDPWeLCJaXgAjZx4kQKCwv57bffnO8VFRWxePFiJk2aBMDBgwf57rvv+OWXX1i8eDHbt2/nnnvucdvPihUrSE1NZdWqVXz99dfMmzeP5547uzuJZ2Kz2Rg7dixr167lyy+/5M8//+Sll15Co/F+t51GhdhIlf0ZrgtFO3Ag00p8M8/fl9BM45YeYF+6lfhmjsMiLFAh0N99n9UmOJprI6GZdw8djQox4QoHMt3jP5hlpUUdF+nxUSoHs9zj359Zd3oAg17BZrdTZfL+3bBmEXpCg3Vs/7Pc+V5llY19hypJat3wocxdkox8PbMDH05P5L6bYwjw9245Cg9SCTKq7D1qcb5XbYIjOVZaRntugGlUaNFM47aNHdh71EKrOrbR6xwn6YJiK8dLvTME6FzK6tkcM7ERGrQahX2npMkrtlNUaiOhjuPqr9KoEBuhnlb292e6jsXa4qPU0xqF+zKsJHixQXs2VBWiQxUO57gfT4dz7MSGe74AjYtQOHzMPf2hHDuxEe6xJ0QpPHKNlnuv0HJpLxXfuttxDXKy3KemuYaSVtfYOZJtoVXMmcv9qdvYgb1pZrdtdFqYfIWRr5dVUFrh/TpHVaF5CKTluu/7SK6dmDryPyZMOS394Zy60/v7QJto2HHYu/FrVIgOUziY7aoD7DiGJ7eI8BxLi0iVQ9nucRzMshEX6Tm9RoWeiRqqauwcK2r6HpDgPl0pWLne7b38ZWsI6dMVAEWnI6hbRwpWrHMlsNspWLmO4D6XeDWWC7nsnHQhn7PEhU3mPF7AQkJCGDt2LF999RXDhw8H4Pvvvyc8PJyhQ4fyxx9/UF1dzezZs4mJiQFg1qxZXHrppcyYMYNmzZoBoNfr+eSTT/Dz86Njx47897//5T//+Q/Tpk1DVc/9Ymz58uVs2rSJ1NRU2rVrB0CrVq0a+Ks98/dV0KgKZbXmYZVV2okM9vwbAvwUyiprp7cR6Kd1fg5QXitNeaXN49CshvAzgEZVKK9yf7+syk5EHfEbfRXKPKQPqGOYrlYDY3vp2HnQSo13pxwBEBLkyLfjJRa394+XWpyfnautu8pYu6WU3AITzSP13DKhGdMebslD0w56bUJ64Ine2NIK95NjWYXN+VltxhPlrrTSfZvSShtRoe6/eVBXPVcP9sWgVzhWaOXNuRVYvXQePpeyejbHTKC/gsVqP63Xq6zK7rVjwN9wIo7asVfZiQyp+9it/VvLKu0E+P29jUc/H1BVhYpq9/crqu2EB9VRZgyOz09VXu14/6SD2TZSM6C43E6IUWF4Vw2Thil8vMSKt1ebDzQ68qx2uS+tsBFUV7n3O/F/VqtBWFpho1mYq8fj2uF+HM4ye32O40l++rryH8LqGOzgyP9a6Wvc8/9UnVsqmMx4fdihn8/JOv/0cl93nQ/ltcuOhzo/MU7luiFadFoor4RPl5iprPFq+OfEJyqcmtwCt/dqcgvQBQWgGnzQhQSharXU5BXWSlOIf6J3rx0u5LJz0oV8zmoK8qQO75HG4wVu0qRJ3HHHHbzzzjv4+PgwZ84crr/+emejr0WLFs6GI0Dfvn2x2Wzs27fP2XhMTk52m6fYt29fysvLycjIID4+/pxj27FjB7Gxsc6G49moqamhpsb9LGcxm9HqGm+e3v8PVAUmjdCjKDB/jXcu5Ib2Deb+f7rK1jOvp3llv578vtE11Dots5ojGdV8+r8kuiQZ2ZFafoYt69azvY4bR7nK/Ts/nNt+ztamP02kplkIMiqM7Gngjsv9+N9X5VjOYVRlt3Zarh3iOiY+/LXqDKnFhWbPUddVTl6xndxiCw9epSMhysaRYw27AurVQc+kMa6RAG/NLWvQ/urSpY2OxHgdL3xaUn/i81hyS4U96fYL6qL5cI6Nt3404W9Q6JGo4fqhOt77xXRaw0c0Lm+XnQv5nCUuLtJ4vMBdfvnl2O12FixYQM+ePfnjjz94/fXXmzosAHx961jt4gymT59+2pDZ3mOn0nfc/51xu4oqO1bb6XdgA/wUSis9X2w5eipqp1ed6U/2hBhr7cPop5Jd4N3as7IarDb7aQuEBPie3iNzkuOOs4f0te5kn2w4BhsVPvy1xmu9jhu2l7L3kGvZVp3WkZchQVq33seQQC2H0r171XIs30RJqYXmUXp2pJ7bPlIOmknLcV04n1xgINBfpbTC9f8bcGIlSU/KT5S7QD8VcKUJ9FNPG6ZXbYJqk438YjiSXcGM+4Po2lbHlr1//T9kzxELr+a6vk+rceT9XymrZ3PMlFbY0WoUDHr3OXdnKpd/VUX1iThqHYvGM3xHWaUd42nHrkJZ5d97hV9ZAzab/bQFTvwNp48iOKm82vE5pywhYzQ43q9Lcbkjn0IDlAY3HnceNHHkE9fxqT1x3NYu94H+Khl1lfvKE/9ntXo3Av1VSk70giTF64gIUXn93yFuae662siBTAuvfdXwRmulqa78P72HyBl7Naen9/Gc/3HhjiHh89d7v1xV1pys82uVBd/Te9VPKq8Co8HDcVKrzjdbHCuBFpXZyci38O8JOrq307A6pWmv+mtyC/CJCnd7zycqHHNJGbbqGkwFx7FZLPhEhtVKE0bNMfcey4a6EMvOhXzOOh/YLtLFa5qCzHm8wBkMBsaPH8+cOXP4+uuvSUxMpFu3bs7P09PTyc7Odv69YcMGVFUlMTHR+d7OnTupqqpyS2M0GomLi2tQbF26dCEzM5P9+/ef9TZTp06lpKTE7dVz5MP1bme1QWaejXZxrnlYCtA2VuO2/PSp0o5ZaRfrPm+rXZyGo8cclX1hqZ3SCptbGh+dY75V2jHvXkxYbZBVYKdNjHv8baI1pOd6/q6juTZax7jH3zZGdUt/suEYHqTw0YIarw5dqqq2kZNncr7Ss2soKjbTtYPRmcbPoJLY2o+9h7y7WkB4iI4Ao4aiYkv9ietQY4b8YpvzlVNoo6TcRmIL1z01gx5aNtdwJNvz91htjlXpEuNd2yhAYryWw3VsA6AojtfJRt+5xF5QYne+jhXZ/nJZPZtjJjPfisVqd0sTEawQGqiSVsdx9VdZbZCZb6NtjKc46i77bT0cu2l1HCuNxWaD7CI7rZq5/z+2aqbU+biFjHw7LWunb66QmV937AF+jmGOtRsJ56LGVKvcF1gpKbeRlOAabmrQQ8toLYezzlzu25+yjYKjwXhym8Ubqpj2cSnPf+J6AXy3opLPF3inPrDZIOe4Y37oqRKiFLLqyP+sQjsJteYItmzmOX1yK8cjk/KKvRKuG6sNsgvttI52XYYpQOtolfQ6HquRnmejdbR77K2jVTLyzlwuFEVplBXC/6riDTsIG9bH7b3w4f04vmEHAHazmZJtewgf1teVQFEIG9qX4g3bvRrLhVh2LuRzlri4SOPxIjBp0iQWLFjAJ5984lwo5ySDwcA///lPdu7cyR9//MEDDzzAtdde6xyyCmAymZg8eTJ//vknCxcu5JlnnuG+++5r0HxHgMGDBzNo0CAmTJjAsmXLOHLkCIsWLWLx4sV1buPj40NgYKDb62yHrK7aYaZPBx09k7REhihcM8QHvVZhY6qjQrxxhA+X9nWtOrF6p5mkFhqGdNURGawwupeeuEiVP1Jcd9V+32lmZA89HRM0NA9TmTTSQGmFnV2Hz73RUpc/Uiz0StLQra2GyGCFqwfq0Olgy37Hd107RMeYnq4Kf+1uK4lxKgM7a4kIUhjRXUtMhMq6PY70qgL/GKknNkLhm5UmFMUxZ8bo65g03xh+XFrA9ZdH0rtrIAmxBh7+VxyFx81uK6lOf7Qllw933Vk2+Ki0amGgVQvHLd2ocD2tWhiICNU5P598XXOSWvsRGa6ja3sjTz8YT3aeiW27vTvkbuXWGsb19aFLay3R4Sr/HOdPSbmNHafM2XrwWn8GX+IqRyu21DCgi54+HXU0C1W5YZQvPjpYv9vRVRcepDK6tw8tojSEBCi0itZwxxX+mCx29hzx3h3csymrd19pYMApK5LWd8xUm2Djnxau7O9DmxgNsREqNww3cCTHylEvNtRW7zTTu4OWHomOOCYM1qPXKmw6cYf7huF6xvVxxf1HipmkOA2Dkx2PKRjV0/E8x7W7XPnp6wPRYSpRJ+ZNRoYoRIepdc4JPlcbUm10a6uS3EohPBAu662i08KOQ478uaqfhuFdXQfcxr022kQr9G2vEhYIg7uoRIcqbNrnSK/TwshuKjHhCkH+jovT6wdrKSrjtMVSvGXF5mrG9TPQpY2O6AgNt15mpLjcxo79ru7mf18fwJBurrp4+aZqBiT70KeTnmZhKjeO9kOvh3UpjjtUpRV2sgusbi+AolIbhSXeKzub9tnp2kqhc4JCWACM7aGg00LKEUdeXd5bYUhn1//55v12WjV3rLQZFgADOyo0D4GtB93zVq+FpDil0RY7AUcd3qOdyiVtVCKCFK7op0Wvha37HXl1zSAto7q7Wn3r/7TSNlalfycN4UEKwy7REBOusP5PR3qdFkZ21xAXoRDs71iQZ/wALYF+sPuI92+saPz9CExOIjA5CQC/lrEEJidhiGsOQOLzD5H86cvO9Ec/+Aa/lnEkTf8P/omtiL/rRppPHMuRNz9zpjnyxqfETb6WmJuuwpjUik5vP4vW35eMz+d5Pf4LueycdCGfs8SFS4atXgSGDRtGaGgo+/bt48Ybb3T7rE2bNowfP55x48ZRVFTEZZddxjvvvOOWZvjw4bRt25ZBgwZRU1PDDTfcwLPPPuuV2H744QceeeQRbrjhBioqKmjTpg0vvfSSV/Zd246DFoy+CmN66Qn0V8jKt/H+L1XOBQlCAlTsdtcJNO2YjS+WVjOuj6NRmV9s45OF1Rw75SG4K7eZ0WsVrh3qeHj2kRwr7/9S1Shj/lMOW/H3hVE9tCcelG7nk4U1zuFvwUbFbcL30VwbX68wMbqnjjG9tBSU2Jm91ETucUeiIH+FjgmOC48p17iPtXn/lxoO53j/YmLuwnwMPioP3BqD0U/Dnv0VPDXjCGazK/DmkT4EBriqnrYtfXnl8dbOv++8MRqAZWuKeO2jTGw2Oy1jDYzoH4K/n0pRsYVtux2P9zBbvHtyXrqpBr1O4cbRfvideFj6rO8r3P6/I4I1GH1db2zdZ8boV8Vl/X2dD1ye9X2Fc8il2WKnTayWYd198DMolFbYOZhp4dU55V4b+glnV1bDg1T8fV3/7/UdMwA/rqnBbtdzy1gDWo1jReLvf/fu6hs7DlrxN5gY3UtHoJ+erAIbH/5afUrZP/3Y/XJ5DWN76RnXR09+sZ1PF9W4rSjZKUHL9cNdjZ2bRjmOgSWbTSzd7L0LoD1H7fj52BjSReN80PuclVbn0Lcgf7DbXRegmQV25q2xMrSrhmFdVYrK4JvfreSfmBpot0NksEJyKxWDDsqqHKux/rbT2mjz7pZsrEavV/h/7N13eFPl38fxd9K9By0dQFvKKJQNZYNMZSsiiAIPshygoDIEfypDpgoIuBUFRJANKhtZStmjLaOsUiiju7Slu03y/FFJCZ1AIEn5vq4r10VP7px+Gk5Ozn3uNairHbbWCi7fyGPR6ju6x46LEvt7JiQ6fj4He1sFz7e1wfG/bnKLVt/R6zFdFuHXNdhawTN1FdhZK4hNhtX71aT/d4g62irQ3HPivJkIfxxS066ekvb1FNxOg3XBau37f1egjwIFcC7q8f09pyPV2Fnn0amxOQ42EJ2kYenO3HuOHd1zflSchjX78ujcxIznmpiRmKphxe78pZog/9hxd1LQuGP+uo4Z2XAzXs1PW3O1ZfTJqUldWu5erv05cG7+8JLrv24gbPiHWHm5Y/NfRRIg8+oNjj3/JoHzPsRv9GCybsRw+s2PSdh1QFsmeu02LN1dqTllDFae7qSGhnO05why7ptERx9M+di5y5S/s540jcyYozcKjbyb5dbUqVPZtGkTISEhxZYZMmQIycnJbNq06YnlelDvf/14B4U/bpaWRtBf6CGFHbxk6AiPxK+Oj6EjPBJrG9O9v6dUmnb3JkfHx7Q2xhNy68bjmQjnSfCt6lR6ISOWnq7/nilPUqs36xs6wkML/e2coSM8kutRpvu5BfhugrOhIxRr4o+GmVjuszcefP4PY2e6VyZCCCGEEEIIUQrNkx0SX67JmEdRrKioKOzt7Yt9REVFGTqiEEIIIYQQ4gmRlsdybOrUqaWOXVy6dGmxz3l7e5fY5dXb2/vhggkhhBBCCPGEqGWUnt5I5VEUy9zcnOrVqxs6hhBCCCGEEMIISLdVIYQQQgghhDAC33zzDX5+flhbW9O8eXOOHj1aYvm1a9dSq1YtrK2tqVevHlu3bn2s+aTyKIQQQgghhCi3NBqNQR4PavXq1YwdO5YpU6Zw8uRJGjRoQJcuXYiLiyuy/MGDB3n11VcZPnw4p06donfv3vTu3ZszZ8486ltWLKk8CiGEEEIIIYSBzZ8/n9dff52hQ4cSGBjI999/j62tLb/88kuR5RcuXEjXrl2ZMGECtWvXZvr06TRu3Jivv/76sWWUyqMQQgghhBCi3FKrNQZ5ZGdnk5qaqvPIzs4uMmNOTg4nTpygc+fO2m1KpZLOnTtz6NChIl9z6NAhnfIAXbp0Kba8PkjlUQghhBBCCCH0bPbs2Tg5Oek8Zs+eXWTZhIQEVCoVHh4eOts9PDyIiYkp8jUxMTEPVF4fZLZVIYQQQgghhNCzDz/8kLFjx+pss7KyMlAa/ZDKoxBCCCGEEKLcMtQyj1ZWVmWuLLq5uWFmZkZsbKzO9tjYWDw9PYt8jaen5wOV1wfptiqEEEIIIYQQBmRpaUmTJk3YvXu3dptarWb37t20bNmyyNe0bNlSpzzArl27ii2vD9LyKIQQQgghhCi3NGoDNT0+oLFjx/Laa68RFBREs2bNWLBgAenp6QwdOhSAwYMHU6lSJe24yXfffZd27doxb948evTowapVqzh+/Dg//vjjY8solUchhBBCCCGEMLD+/fsTHx/P5MmTiYmJoWHDhmzfvl07KU5UVBRKZUHH0VatWrFy5Uo+/vhj/ve//1GjRg02bdpE3bp1H1tGqTwKIYQQQgghyi21oQY9PoR33nmHd955p8jn9u3bV2hbv3796Nev32NOVUDGPAohhBBCCCGEKJVUHoUQQgghhBBClEq6rQohhBBCCCHKLVOZMMcUSOVRGL1jO04YOsIjMbeyNHSEh/Zs32aGjvBIcnLUho7wSOzszAwd4aHl5Zn2F/UbZ98wdIRH8qH154aO8NCaB+YaOsIjuXXb2tARHknob+cMHeGhNRgUaOgIjyT+S9O+3hFPB6k8CiGEEEIIIcotaXnUHxnzKIQQQgghhBCiVFJ5FEIIIYQQQghRKum2KoQQQgghhCi3pNeq/kjLoxBCCCGEEEKIUknLoxBCCCGEEKLckglz9EdaHoUQQgghhBBClEoqj0IIIYQQQgghSiXdVoUQQgghhBDllkYj3Vb1RVoehRBCCCGEEEKUSloehRBCCCGEEOWWWibM0RtpeRRCCCGEEEIIUSppeRRCCCGEEEKUWzLmUX+k5VEIIYQQQgghRKmk8iiEEEIIIYQQolTSbVUIIYQQQghRbmlkwhy9kZZHUSbt27fnvffeM3QMIYQQQgghhIFIy6PQsW/fPjp06MDt27dxdnbWbt+wYQMWFhaGC/aAhg/0o9dznjjYmXM6PJW5317iRnRmseUH9a1Cu1Zu+FayJTtHzenzqXy39ArXbxa8xtJCwTvDq9GpbUUsLJQcPZXEvO8ucTs5V6/Zh/avQs/OFbG3NefMhVTm/xjJzZisYsvXr+3AKy94U9PfHjdXSz7+7DwHjt3WKePiZMGbg3wIauCMvZ0ZYefusPDnkvf7MJpUV9CitgJ7a4hNhp0n1NxKKr58rSrQrp4SZztIugN7QtVERBc8/9ErZkW+bneImsPn9XsXsVmAklZ1lNjbQGyShq1H1dxMLP53BPoq6NjQDGd7SEqFXSdVXLpZUL53KzMaVde9P3fppprfdqv0mvuuc4dWcPrfX8hMS8DVsxYte32Ee5X6xZaPPL2dE7sWkZZ8E8cKvjTtOo4qAe20z+dmp3Nsx3yundtNdkYyDi6VCWw1iNrNX3ks+ZtUV9C81j3Hzkk10SUdO5Xzjx2n/46dvWG6x87/+hd/7By5oN9jx7pZB2xad0Vp70Re7HXSt6wk72ZkkWWdhk7AomqtQttzLoaR+ttCANw+/bnI16bvWENm8A79Bb/H88/Y0LahNbZWCi7fyGXF9nTibqtLfE37JlZ0aW6Dk72S67F5/L4zg6vReUWWHdPfgXrVLPlmXSohF/V7zty/bRW7/lxGanIClX1r8vLwSfjVqFdk2QO71nNk/1/cun4ZAB//QF4YMFqn/Ki+DYp87Yv/9z7PvjBEr9mP713BoR0/k5YSj0eVWnR59RMqVS36cxt/8xL7/1xE9LWzpCTe5Nn+H9K8s26eryZ1JCXxZqHXNmk/gG4Dp+g1O5ju59a1TRD+44bj1Lgu1t4VOf7SKGL/3F3ya55pRuDcSdgH1iDrejSXZ3/HjV836pTxHTkA/7HDsfJ0JzXsPGffm07KsdN6y32/1vUs6NjIAgdbBbcS1Gz4J5uouOI/tw2qmdGthRWuDgriU9RsPphD+DXd76SuzSxpWcccaysFV6NVrN2XTUKK6bfaScuj/kjl0QSpVCoUCgVKZdkbjnNycrC0tHzo3+nq6vrQr33SBr5Uhb49KzFzwXmiY7MYMdCP+Z/WY9CoY+TkFn3yaFTXmQ1bbnH+0h3MlAreGFyVLz+tz6BRx8jKzj8Rjx5RnVZNXfnks3Okp+fx/ls1mPlhHUZNDNFb9ld7e/NSd09mf32Z6Lhshr1ShS8+qc2Q90KKzW5tbUbE1Qy27olnxgcBRZaZ8UEAeSoNH312noxMFf16ejNvSiBD3gvR/n2PqnYVBZ0bKdh2XMOtRA3NAhS80l7J91vUZGQXLl+pArzYUsneMA2Xbmmo66ugXxslP+9UE5+SX2bBJt0vtWpeCno2U3D+un6/BOr4KegSpOSvwypuJmhoUduM/+tsxld/5JFeRP26iruCvm3N2H1KzYUbaupXVfJKezN+2JJHXHJBuUs31WwKLvgb8vTzVhdyJWwrR7Z+RuveU3GvXJ+zB39l+5LX6Tt2Kzb2FQqVj712ir2rxxP03Pv41GpPROhm/v5tNC+8vQ5Xz5oAHNn6GbcijtD+5c+xd6nEzUvBHPzzU2wdK+Jbu6Ne89euoqBTQwXbT+QfO01rKnilnZIfthZ/7PT+79i5fEtDHV8FfVsr+WVXwbGz8I/Cx06Ppgou3NDvsWNZtyl2XfuT9tdy8m5cwablszgOfp/biz5Ck36nUPnUVd+CWcEFstLGHudRU8k+c1y7LfHz93V/R4162L8whOxzJ/Sa/a6uLazpFGTNL3+lkZCspnc7W957xZHJPyaTV8y9jqDalrzcyY7ftqcTeSuPzk2tee8VBz75IZk7Gbrvceem1vCYrtuOB29n/bK5vPrGx/jVqMeeLSv4asZIpi76Awenwsf+pbPHCWrTDf+ABlhYWrFz0y98NX0kn3y5HucKHgDM/km3EnHu1AF++24qjVp01mv2s8e2smvNbLoNmkalqg04+vcyfl8wnJHTt2PnWDh7bk4mzm6Vqd2kK7vWzC5yn8M+WodGXfCfFnfzEiu/HErtoK56zQ6m/bk1s7MlNewC15euJ2jdN6WWt/GrTNM/fyDqx1WEDB5PhY4tqffDDLKi40nYdQAAr37dqP3Fh5x5ewrJR0OpOuY1mm/5mX11upITX0KN+iE1rG5O7zaWrN2XzbUYFe0aWvLm8zbMXpFBWmbh98vPU8n/dbFmy6Eczl7No0lNC4Z1t2be6kxikvK/nDo2tuCZBhas/DuLxFQN3Zpb8tbzNsxZmVHsuUA8faTbqp74+fmxYMECnW0NGzZk6tSpaDQapk6dio+PD1ZWVnh7ezNmzBhtuezsbMaPH0+lSpWws7OjefPm7Nu3T/v80qVLcXZ25s8//yQwMBArKyuioqJKzDNkyBB69+7NzJkz8fb2JiAgv1KxfPlygoKCcHBwwNPTkwEDBhAXFwfA1atX6dChAwAuLi4oFAqGDBkCFO626ufnx6xZsxg2bBgODg74+Pjw448/6mQ4ePAgDRs2xNramqCgIDZt2oRCoSAkJOQB3tkH1+/5Svy65hoHjiQScTWdGV+ep4KrFW1buBX7mnFTT7NtdyyRURlcvprOrAUX8KxoTUB1BwDsbM3o+awnXy2O4GRYMhci0pi18Dz1A52oE+Cgt+x9e3ixfP0Ngo/d5sq1DGZ/dRk3F0vaNCu+8n70VDI/r7rOgaNFfzlV9rKmToADX/54hQsR6Vy/lcWXP13BylJJpzbFvycPqnktBSERGsIiNSSkwtZjGvLyoIG/osjyzQIURETD4fMaElNh/2kNMbchqEZB+fQs3UfNSgquxkFyut5iA9CqtpITl9SERGiIT4HNh1XkqijUcnhXi9pKLt/SEHxWTUIK7AlRE52koVmAbvk8FaRlFTyycvSb+64zB5YR0LQfNZv0wcWjOq1fmIq5pTUXT2wosvzZg79SuUYb6j8zHOeK1Wjy7LtU8K5N+OGV2jKx105Ro/ELePk3w8GlErWavYyrZwDx18P0nr9ZgIKQKwXHzrbj/x07VYs+dprWVBARA0cuaEi8A/+c0RCTnN8Kctf9x04NbwXXHsOxY9PqObJO/EP2qWBU8dGk/bUcTW4O1o3bFFlek5mOJi1V+7CoHogmN4fss8cKytzzvCYtFctajci9egH17QT9hv9Pp2Y2bAnOJPRSLjfjVfzyVxrODkoaBRR/w/HZZtb8G5LNwbBsohNU/LYtnZw8aN3ASqdclYpmPNfcmqVb0h5L9j1/Lad15z607NgbryrVePWNj7G0subgnk1Flh/63mzade1Plaq18KxUlUFvTUWjUXP+9FFtGScXN51H6LF91KzTFDePynrNfmTXEhq1fZmGrV/C3bs63QdNw8LSmpDg9UWW965an879JlKnWQ/MzIv+v7FzcMXeyV37uBy2Fxd3H3xrNtNrdjDtz238jn+4OGUBsX/8Xabyvm+8QmbkDcI/+Iy081e49u0KYtbvoOq7Q7Rlqr43lOs/r+HGsg2khUdwetQUVBlZVBnykn7D/6d9QwsOnc3laHgesbc1rN2bTU6ehua1i24XeqaBBeejVOw9lUvcbQ3bjuRwI15N2/oFvcraNbBg5/EczkSqiE5Us/LvLBztFNTzl7YmUUAqj0/A+vXr+fLLL/nhhx+4dOkSmzZtol69gi4y77zzDocOHWLVqlWEhYXRr18/unbtyqVLl7RlMjIy+Oyzz1i8eDFnz56lYsWKpf7e3bt3c+HCBXbt2sXmzZsByM3NZfr06YSGhrJp0yauXr2qrSBWqVKF9evzv7QuXLhAdHQ0CxcuLHb/8+bNIygoiFOnTjFq1ChGjhzJhQsXAEhNTaVXr17Uq1ePkydPMn36dCZOnPjA792D8vawxs3VimMhBd020zNUnLuYSt1ajmXej51dfstA6p387lUB1R2wsFByPLRgv1E3MomJy6LOA+y3JF4VrajgYsmJsBTd7JfSCKz58BVUC4v8j3lObkGzl0YDublq6tXST8VXqQQvF4iM1b3bGRmroXKFoi8kKlVQFCp/JUZDpWLK21lBdW8IvaLnO9BK8Kqg4Ep0wX41wJVoDVXci85S2V23PEDELQ1V3HVPqX6eCib0M2f0C+b0bK7ERve6Wi9UeTkk3DqLd/WW2m0KpRLvai2Jiwop8jVxUaE65QEq12ijU97DtxFR4XtJT4lFo9FwK+IIqQlXqVSjtV7z3z12rhZx7FRyK/7Yub/8lejiy989dkL0fOxgZoa5ly+5EeEF2zQaciPOYV65Wpl2Yd24LTlnjkJu0XcWFHaOWNasR/aJf/WRuBA3ZyXO9krCIwu6kmZma7hyKw//SkVfMJopwdfLnPCrBZk1QHhkDtUqFVyIWprDiN72rNiRTmq6/pse83JziboSTkD9FtptSqWSWvVaEHmhbDc5cnKyUKnysLMv+jyempzImZP/0qrTi3rJfJcqL4foa2epWruVdptCqcSvdituRpzS2+84feRPGrR+CYWi6M/GwzLpz+1DcG7RkIQ9h3S2xe86gEuLhgAoLCxwalyHhN0HCwpoNCTsOYhzi0Z6z2OmhMoVlVy8XtAcqAEu3VDh61l0118/TzOd8gAXolT4euZ/b1VwVOBop7vPrBy4FqvGz9P0qwtqjcYgj/JIbiU8AVFRUXh6etK5c2csLCzw8fGhWbNm2ueWLFlCVFQU3t7eAIwfP57t27ezZMkSZs2aBeRX+r799lsaNCh6LEZR7OzsWLx4sU531WHDhmn/7e/vz6JFi2jatClpaWnY29tru6dWrFhRZ8xjUbp3786oUaMAmDhxIl9++SV79+4lICCAlStXolAo+Omnn7C2tiYwMJCbN2/y+uuvlzn/w3B1yf9b7x+HeDs5R/tcaRQKGPN6dcLOpRAZlQFABRdLcnLVpKXrnniTknOo4Pzw3YHv5epi8d8+78uekoOr88OPN426mUlMfDavD/Rh3g9XyMpW06+nFxXdrMr8npTG1hKUSkWhLp7pWVChmLq1vTVFlrezKbp8vaoKcnLRe5dVWyswUypIu29IbFqmBjfHoi9q7K0p1C0oLQvs78l++Zaa8Ci4nabB1UFBp0ZmDOqkYPE2Ffr8PsnKSEajVhXqnmpjX4GU+KLH3WWmJWBjr9vqbG1fgYw7BS1bLXt9zIGNk1n1WXsUSnMUCgVtXvwUr6pN9RcePR472fnbi3L32NF31zelrQMKMzPU6ak629XpqVi4e5X6evNKVTH3qEzapqXFlrFu1ApNdjbZ4Y+ny6qTXf5FYWq6bp/qO+lq7XP3s7dVYKZUFKoQpqZr8Lzn5s/Lz9oRcSOP0Ev6HeN4V9qd26jVKhzv657q4FyB2GLGnN5v428LcHJxp9Y9FdB7Hd73J9Y2tjRs3umR894rI+02GrWqUPdUe8cKJMZc0cvvuHDqb7Iy7tCgtX4rvmDan9uHYeXhRnasbst/dmwCFk4OKK2tsHBxQmluTnZc4n1lErEL8Nd7Hjub/M/gnfu+h+5kaKjoXPTn1sFWUahL+Z0MNY625trnAdLuK5OWodY+JwRI5fGJ6NevHwsWLMDf35+uXbvSvXt3evXqhbm5OadPn0alUlGzZk2d12RnZ1OhQsGXiqWlJfXrFz/5RVHq1atXaJzjiRMnmDp1KqGhody+fRu1Ov+CISoqisDAwAfa/715FAoFnp6e2i6wFy5coH79+lhbF3wr3K0wlyQ7O5vsbN3BEmpVDkqzois5z7aryIS3C967Dz599IHpY9+qgb+PHaMm6ufub3E6t3Vj3BsFXyqTZp9/LL9HpdIw+YsLfDCyGpuXNUOl0nAiLIXDJ2+j55vRj1UDfwVnrmlQPaZxg/p25mrBF3BcsobY23m818cCPw81kTGGvxgqzblDvxF/PZRn/+9b7J29ibl6nEN/TsfWsSKVqrcqfQdGpEFVBWejjO/YsWrchryY68VOrgNg1agN2WGHIa/oiWgeVPM6lgzqZq/9+as1qSWUfngNalhQy9eC6T8nP5b968OOjT9zIng77039GQvLorsFHNqziaZtuxf7vDELObCe6nWfwcHZw9BRHoqxfm6FaZIJc/RHKo96olQq0dzXnJCbm3+3tUqVKly4cIG///6bXbt2MWrUKL744gv2799PWloaZmZmnDhxAjMz3a4G9vYFX/A2NjYP3O3Ezs5O5+f09HS6dOlCly5dWLFiBe7u7kRFRdGlSxdych58MNb9s68qFAptZfRhzZ49m2nTpulsq1LjNXwChhZZ/sDRRM5dLJhowvK/LpouzhYk3i74m1ycLbl8pfQxN++/mT8pzjsfhhKfWPD6xNs5WFoosbcz02l9dHW2JDH54QayBR9LIvxSQSYLc8V/+7TQaX10cbLk8tVHG/Bx8Uo6IyaEYWdrhrm5gpTUPL6dXZcLEfoZSJKRA2q1Brv77iDbWUN6MZPcpmVR5vJV3MHNUcHGg/q/isjIBpVao9NqCGBvoyCtmMlo81sZFdw7C0h+a2Txv+d2GqRnaajgoNBr5dHa1hmF0ozMNN073plpidg4FD2m1cbejcw03bvoWWmJ2P5XPi83i+M7F9Bp4CJ8arUHwNUrgMTocE7/u0SvlccSj50S3v9C5a0o8v+rilt+d6yNh/R/7Kgz7qBRqVDa6Ta1KO0cUd9JKeZV/7GwxKpeMzL2/FFsEXPfGpi7e3Fnzff6iAtAyKUcrtxKLohhln/ecbRTknLPuc3BLn8G1aKkZWhQqTU42ul+JznaFbRG1vK1wN1FycJxuuO1R/Zx4NL1POauePRKq72DC0qlGakpusf+neREHJ1LHs+9649l7Ny4hDGTf6CyX80iy1w+d5LYW1cZPvbzR856P1t7FxRKM9JTdbOnpSZi7/joY9GTE28SGX6QvqO+euR9FcWUP7cPIzs2ASsP3f8XKw83clPuoM7KJifhNuq8PKwqVrivTAWyY/Q/Vjk9M/8z6GCj+xl0sFWQmlH098udDE2hFkQHW6W2/N1WSfv79mFvq+RWgsyWIwqYfidmI+Hu7k50dMF806mpqURGFtxNtrGxoVevXixatIh9+/Zx6NAhTp8+TaNGjVCpVMTFxVG9enWdh6enp14znj9/nsTERObMmUPbtm2pVauWtqXwrrstlSrVo50oAgICOH36tE4r4rFjx0p4Rb4PP/yQlJQUnUfl6gOLLZ+ZqeJmdJb2ERmVQUJSNkENXLRlbG3MCKzpyJnzJV+svP9mdZ5p6ca7H4URHav7bXbh8h1yc9U0uWe/VSrZ4FnRmrOl7LfY7FlqbsZkaR9Xb2SSeDuHxvWcdLPXsOfcxcKzNj6M9AwVKal5VPK0JsDfnuBj+pkBTq2G6Nvg56H7xeTnoeBGMctd3EzUUPW+8lU9FUUuj9HAX0F0kkZnJlN9UakhOlGDv1dBFsV/Wa7HF539RrwGf0/d7P5eCq7HF3+h42gLNlYU6mb0qMzMLXHzrkP05cPabRq1mlsRh6no07DI11T0acCtiMM6225ePqgtr1bloVblolDofkUoFGZoNPq9mCvp2LmZUPyx41exiGOniPKP89hBpSIv+hoW/rULtikUWPjXJu9GRIkvtarTFIWZBdmhh4otY924Lbk3r6KKvaGvxGTnQPxttfZxK0FFcpqaWn4FNwOtLRX4e5tz5WbRlUeVGq5F51H7ntcogNp+FkTczL/xte1QJtMWp/DpzwUPgNV/Z7B0s34mzzG3sMDHvzYXTh/RblOr1Vw4fYSqAcX31Nm5aQnb1v/IOx9/i2/1OsWWO7hnIz7+gVT2K3oW60dhZm6Jl28dIsML/v81ajVXww9Rqdqjj5ELDd6AnWMFatRr/8j7KopJf24fQvLhECp01O3a7NapFbcPhwCgyc0l5eRZ3DreM5ZcoaBCh5YkH9Z/LyaVGm7EqalZpaDRQQHUqGzGtZiir9+uxqioWVm3kaJmFTOuxeSf0xNTNaSmq3XKWFmAr4eSqzHGUYl/FBqNxiCP8kgqj3rSsWNHli9fzr///svp06d57bXXtC2JS5cu5eeff+bMmTNcuXKF3377DRsbG3x9falZsyYDBw5k8ODBbNiwgcjISI4ePcrs2bPZsmWLXjP6+PhgaWnJV199xZUrV/jzzz+ZPn26ThlfX18UCgWbN28mPj6etLSH+5IfMGAAarWaN954g/DwcHbs2MHcuXMBSmxBtbKywtHRUedRXJfV4qz98yav9fehdbMK+Pva8fHYWiQmZfPv4YK7fwtm1KdPD2/tz+NGVue59h5MmxtORmYers4WuDpbYGmZ/xFJz1CxeVcMo4dXo1E9ZwKq2fO/dwM4HZ7C2Qv6qdgBrNsSzf+9VJlWQS5U9bHlf6Ork3A7R2cm1XlTAnmxa8GNBRtrJdX9bKnuZwuAp4c11f1sqehW8L61a+lKwzqOeFW0onVTF+ZNrs2BY0kcDy2ldeQBHDmvoVE1BfX8FFRwhG5BCizMIey/yQ56NVfQvn7B//3RCxr8vaB5gIIKDtC2rgIvFzh+Sfdka2mePyV8SMTjOwkfDFfTuIaSBv4K3JygZwslluZw6nL+F+aLrc3o3KjgdHk4XE31SgpaBSpxc4T2DZR4V1Bw9IJam/m5Jkoquylwtsu/QHq1gzlJd+DyLf3/HXXbvMaF42u5dHITyXERBP8xjbycTGo2zh/rtH/tRI7tmK8tX6fVYG5cPMDpf5eQHHeFk39/TcLNs9RuMSA/v7U9nlWbcnTbF0RfOcqdpBtcPLGRy6f+wC9Qv8sVQP6x0ND/v2PH4Z5jJ/KeY6dewbFz7GL+sdPs7rFTJ//YOXG58LFTq4risU64kXlwJ9ZNnsGqYSvM3Lyw6zkIhaUVWSeDAbDvMxzbzn0Kvc66SRtyzp9Ck1l067/CyhqrOkFkn/jnsWW/a/fRTHq0tqFBDQsquZsxrJc9yXfUnLpQ0Kti7ABHOjQpaDbadTSLtg2taVnPCs8KZgzsZoelhYLgsPwbhqnpGm7Fq3QeAEmpKhJS9Hch2rHX/xH89wYO7/uT6BtXWPXTDLKzM2nZoTcASxd9xKYVBRO/7dz4C5tXfcP/jZqGq7s3KbcTSLmdQFZmhs5+MzPSOHlop94nyrlX82eHcurfNYQe3EhCdARbV0wlNyeTBq3zj5c/fv6APRvmacur8nKIiQonJiocVV4Od27HEhMVTlLcNZ39atRqQoM3UL9lb5Rmj6+DmSl/bs3sbHFsUAvHBvlrrtpWrYxjg1pYV8kfqxwwYywNlnymLX/tx1XYVq1CrdkTsAvwx/etAXj160bkwqXaMpELllBl+MtU+r/e2Nfyp+43UzG3s+H6sqJnvX5U+0JyaRFoQdNa5lR0UdC3vRWW5gqOhOff9BnQ2YoeLQuuA/4JzaWWjxntG1pQ0VlBl2aWVKmo5N+wgp5O+0NzeTbIkjp+ZnhVUDLwWWtS0zWcvqKfbvOifJBuq3ry4YcfEhkZSc+ePXFycmL69OnalkdnZ2fmzJnD2LFjUalU1KtXj7/++ks7pnHJkiXMmDGDcePGcfPmTdzc3GjRogU9e/bUa0Z3d3eWLl3K//73PxYtWkTjxo2ZO3cuzz//vLZMpUqVmDZtGpMmTWLo0KEMHjyYpUuXPvDvcnR05K+//mLkyJE0bNiQevXqMXnyZAYMGKAzDvJxWLH+OtbWZnzwTk3s7cw5fS6FcVNO66yTWMnTBmfHgrvmL3avBMDXsxvq7GvmgvNs2x0LwFeLL6PRVGPmh4FYWCg5ejKJed9dQp9+33QLayszxr/pn5/9fCofzAjXze5hhZNjwUc3oJo9C6YV3D1/Z4gfANv3xjHnm/zWjwoulrz9mh8uThYkJueyc388v67TX2sGQPj1/C5M7eopsLNWEJsMq/apSf+v8dnJToHmnm6eNxNh0yE17espaV9fQdIdWHugYL2vu+r4KlAAZ6Me34XE2asa7KzUdGxohr0NxCRpWL5bpe1+5WQHGk3BRdD1eA3r/lXRqaEZnRopSUyFVftU2rvkag14uCho4K/E2hLuZObPxronRPVYxu/41+9OVvptTvy9iMw7CVTwqk2XoT9qu62mJUfrtCJ6+DaiQ/8vOLFrIcd3foljBV86D/pKu8YjQIdX5nF8x5fsWzOB7IwU7J29afLce9Rq/ore84df12BrBc/ULTh2Vu8vOHYcbRU6d3BvJsIfh9S0q6ekfT0Ft9NgXXDhYyfQJ//YOfcYj52cM8dIt3XAtmNvlPaO5MVcJ3X5l2j+m0THzMmV+2dIMqvggYVvTVKWzStqlwBY1s0fI559zxISj8v2w1lYWir4v2722ForuHQ9l4WrU3XWdXN3VmJ/T5e34+E5ONhm8MIzNjj+18V14eo73HkMs6qWJKh1V9JSb7N51bekJidQ2S+Adz76Fkfn/O/X2wkxOmsi/7NzLXl5ufw0d5zOfrr3e4ue/Udqfz4RvB2NBpq26fbYstdp2p2MO0ns/2MR6anxeFSpzavvLtZ2W01J0v3c3kmOY/H03tqfD+/8hcM7f8GnZjMGT1iu3X4l/CCpSbdo0PrxLBFxlyl/bp2a1KXl7oL3LHDu/wC4/usGwoZ/iJWXOzZVCia9yrx6g2PPv0ngvA/xGz2YrBsxnH7zY+0ajwDRa7dh6e5KzSljsPJ0JzU0nKM9R5Bz3yQ6+hJyOQ97GwVdm1niaKfgZryaH/7K1E7m5uKg1OkpcjVGzfKdWXRvkV+pjE9W88vWLO0ajwB7TuZiaa7g5Q5W2FgpiIxW8cNfmbLGo9Ch0JTXNlVhdFasWMHQoUNJSUnBxqaYKTWL0KbX/seY6vEzt9LPjKaG8Gxf/a8N9iTl5Jh2V5u7S8aYorw80/5qeePsG4aO8Eg+tNb/OL0n5ZVedqUXMmK3bj/eG6SP2/Vo060pNBj0YBP/GZu/v3w8syo/KV++Y196IQMZ9NEtg/ze32Z6l17IxEjLo3hsfv31V/z9/alUqRKhoaFMnDiRl19++YEqjkIIIYQQQgjjIJVHE3XvTKz327ZtG23btn2CaYoWExPD5MmTiYmJwcvLi379+jFz5kxDxxJCCCGEEE8RWapDf6TyaKJCQkKKfa5SpUpPLkgJPvjgAz744ANDxxBCCCGEEELogVQeTVT16tUNHUEIIYQQQgjxFJHKoxBCCCGEEKLckvlB9UfWeRRCCCGEEEIIUSppeRRCCCGEEEKUWxq1aS/dZUyk5VEIIYQQQgghRKmk5VEIIYQQQghRbqllqQ69kZZHIYQQQgghhBClksqjEEIIIYQQQohSSbdVIYQQQgghRLklS3Xoj7Q8CiGEEEIIIYQolbQ8CiGEEEIIIcotjUyYozfS8iiEEEIIIYQQolRSeRRCCCGEEEIIUSrptiqEEEIIIYQot6Tbqv5Iy6MQQgghhBBCiFJJy6MQQgghhBCi3FJr1IaOUG4oNLLwiTBynV89bugIjyQ3O8fQER6aQwVnQ0d4JH61Kxk6wiNxdrUxdISHlpWZZ+gIjyQtNdvQER5JWmqmoSM8tGtnIgwd4ZG8NLyNoSM8kgsXUgwd4aFZ25h2m0jn95sYOsIj6ZF7wdARitVnzGWD/N4Ni6ob5Pc+Tqb9KRNCCCGEEEKIEsiYR/2RMY9CCCGEEEIIIUollUchhBBCCCGEEKWSbqtCCCGEEEKIcku6reqPtDwKIYQQQgghhCiVtDwKIYQQQgghyi1ZXEJ/pOVRCCGEEEIIIUSppPIohBBCCCGEEKJU0m1VCCGEEEIIUW6p1WpDRyg3pOVRCCGEEEIIIUSppOVRCCGEEEIIUW7JUh36Iy2PQgghhBBCCCFKJS2PQgghhBBCiHJLo5Exj/oiLY9CCCGEEEIIIUollUchhBBCCCGEEKWSbqtCCCGEEEKIcksmzNGfp77lcenSpTg7Oxs6htEaMmQIvXv31tv+pk6dSsOGDfW2PyGEEEIIIcST8URbHqdOncqmTZsICQl5kr+2RP3796d79+6GjmG0Fi5ciEZjendrXuvrTfeObtjbmXP2QhoLf7nGzZjsYsvXq2XPyz09qeFvi5uLJZPnXebg8WSdMn//HlTka39ccZ01m2P1ln3YK1Xo+awH9rZmnD5/h/k/XuFmdFax5esHOvLqC97UrGaPm6slH805z4GjSTplXJwsePP/fGna0Bl7OzNCz6WycHFkift9WAOfd6dLW2fsbM0Iv5zBtytiuBWXU2z5OjVsealLBar5WlPB2YIZ31zncMgdnTIDernTtqkj7q4W5OVpuHwtk183xXMxMlPv+Xu0sqJVXUtsrBVcuali9e5M4pNLHmj/TANLOgVZ4Win4Ga8irV7s7gWowLA1lpBj5ZW1PI1x8VRSVqGhrCIXDYHZ5FV/NvywJrXUtKmrhn2NhCTpGHzERU3E4r/7NbxVdC5sTnO9pCYqmHncRUXbxZd/vmWZjQLMGPL0TwOnXs8kw60qmNO+4bmONgqiE5Us/FALtfjiv9d9f3N6NrMAhcHBQkpGrYczuF8VEH5ulXNaFnHnMruSuysFcxfk8mtxMd7LuvVxpo2DaywsVIQcTOP33dmEHe75PerXSMrnmtuhaOdkhtxKlb/ncHVaJX2+QFdbKnta46TvZLsXA1XbuaxYV8msUn6/X94qZMDHZraYmut5OK1HJb8mUxsoqrE13RubkuPtvY42ZsRFZPLr5tTuHIjFwA3ZzMWTPAo8nWLfk/i6Bn9nnuGD/Cl17Oe2NuZcfp8KvO+u8yNEs5vg16qzDMt3fCtbEN2tpoz51P57terXL9ZcE6xtFDw9jB/OrVxx8JCydFTt5n//WVup+TqLfeZ4BWE7P+ZjDsJVPCqRZveH+PhU7/Iskkxlzi6YxEJN89y5/YtWj3/IQ3avvZI+9SHnq2taVPfEhsrBVdu5bFyZ+nnzHaNLHm2qTWOdor84353pvacCTDgORtq+ZrjZHf3uFex8R/9H/et61nQsZEFDrYKbiWo2fBPNlElnHcaVDOjWwsrXB0UxKeo2Xwwh/Brup+Trs0saVnHHGsrBVejVazdl01Cin7PPa5tgvAfNxynxnWx9q7I8ZdGEfvn7pJf80wzAudOwj6wBlnXo7k8+ztu/LpRp4zvyAH4jx2Olac7qWHnOfvedFKOndZrdkORlkf9eapbHnNzc7GxsaFixYqGjmJ0VCoVarUaJycnk2uZ7d/Lkxe7VmThz1G880k4Wdkq5kyqiYWFotjXWFspuRKVwVe/RBVbpt9bITqPL76PRK3W8O/R23rL/uqLlejTw4t530fw1qTTZGWrmftJIJYlZLexUnL5ajoLfrpSbJmZk2rh7WHFR3POM2JcKLHx2cyfWgdrK/2eAl7qWoFenVz55rdoxs2KJCtHw6fv+WBhXsp7fyOL71fGFFvmZmw23/8ew9tTI/jg86vEJuYy/T0fHO3N9Jq/c1NL2jW0YtXuTOauTCMnV8PbfewwL+HXNK5pwYvtrNl2OIvPfkvjZryat/vYYW+T/zc72Slwsley8Z8sZi1L47cdGQT6mTPwOVu95a7rp6RbUzP2hqj49s9cYpI0DHnWHDvrostXcVfwcjtzTlzMLx8epWFAR3MqOhf+f6rto6CKu4LU9Mf3xdugmhnPt7Zg1/FcFqzL4laihtd7WmFvU3R5Xw8lA5+15Oj5PL5cm8WZSBVDulrh6VqQ39ICrkar2HJYjzX0EjzX3IoOTaxYuSODz5bfISdXw+iX7Us8dprUsqBvRxs2B2cxa2kqN+JUjH7ZHgfbgr8jKiaPZVszmLY4lUVr0gB4t78DiuI/Ug+sZ1t7nmtpxy9/pDDlu3iyc9VMHFIBixJuLzevZ83A7k5s3HOHj7+JJyoml4lDKuBol39OSUxR8fbsGJ3Hur9TycxWE3qx+Bt5D2NAn8q81MObud9d4s0JIWRmqZk3tW6J582GdZ3YuPUWb04I5f0pZzA3VzJ/al2dc+Lo4dVo3dSVyZ+HM/qjMNxcLZn5YW295b4cspXgv+YQ9Ozb9H1vAxW8A9i8eAQZaYlFls/LzcKxQhWadx+HrYO7Xvb5qJ5rZkWHxlas3JXB5yvukJ0DY/qVfM5sEmDBS+1t2HIwi1m/3uFGvIox/ezuO+5V/Lotg2m/3OGrtekoFDCmn71ej/uG1c3p3caSHcdymLc6g1uJat583kZ77r6fn6eS/+tizZFzucxdncGZKyqGdbfG07XgmOnY2IJnGliwdl82C9Zmkp0Lbz1vU+L78TDM7GxJDbvAmTHTylTexq8yTf/8gcR9RzgQ9AKRXy2j3g8zcHu2jbaMV79u1P7iQy7N+IYDzV7kTth5mm/5GUt3V/2GFybvga8c1Wo1n3/+OdWrV8fKygofHx9mzpwJwMSJE6lZsya2trb4+/vzySefkJubf4du6dKlTJs2jdDQUBQKBQqFgqVLlwKQnJzMiBEjcHd3x9HRkY4dOxIaGqrze2fMmEHFihVxcHBgxIgRTJo0Saf7o1qt5tNPP6Vy5cpYWVnRsGFDtm/frn3+6tWrKBQKVq9eTbt27bC2tmbFihVFdlv9448/aNy4MdbW1vj7+zNt2jTy8vIA0Gg0TJ06FR8fH6ysrPD29mbMmDFleu/8/PyYNWsWw4YNw8HBAR8fH3788Uft8/v27UOhUJCcnKzdFhISgkKh4OrVq9r30dnZmc2bNxMQEICtrS19+/YlIyODZcuW4efnh4uLC2PGjEGlKrgblp2dzfjx46lUqRJ2dnY0b96cffv2aZ+/u98///yTwMBArKysiIqKKtRttaT/fyj5GHhS+nSryIqN0Rw8kUxkVCaffXuVCi4WtA5yLvY1x0JTWbLmFsH3tTbe63ZKns6jVRNnQs7dIbqEVrUH1a+nF8vX3SD42G2uXMtg1qJLVHC1pE2z4k/eR04l8/Pv1/n3SFKRz1f2sqZOgAPzf7zC+ctpXL+VxfwfrmBlqaRTWze9ZQd4oZMrq7ckcCQ0jas3s5n/y01cnc1p2cih2NecOJPGb5viOXTqTrFl9h9NJTQ8ndiEXKJuZbN4TSx2tmZUrVxM7eghdWhkxY4jWZyOyONWgppft2fgZK+gQXWLYl/TsYklB8/kcPhsLjFJalb9nUlOnoaWdS0BiE5Us/ivDM5cySMhRc3F6yr+OpBFXX9zlHq6EGpdR8nxi2pOXlYTnwJ/HlKRmwdNahR9im8VqOTSTQ0HzuaX331KRXSShha1dcs72ELP5uas/UeF6jHetG3XwJwj5/I4dkFF7G0N6/fnkJuroWmtomsvbeubcyFKzb6QPOKSNew4lsvNBDWt6xaUP3lRxa4TeVy68WSmZ+8UZM22Q1mEXs7lZryKJZvTcbZX0rBm8cdO56bWBIdmc+h0DtGJalbuyCA3F1rVs9SWORCaw+UbeSSmqrkeq+LPf7NwdVRSwUl/N366trbjj313OBmexfXYPL5fm4yzgxlNahf/+erW2p69xzP452Qmt+LzWPJHCtm5Gto1yb8potFASppa5xEUaMOR05lk5+j3YHq5VyV+XRvFgaNJRFzLYOaCC1RwtaJti+LPb+OnnWXbnjiuXs8g4mo6sxZexLOiNQHV7AGwszWjR2cPvv4lkpOnU7gYkcbsRRepV9uJwJrFn88eROg/Swls3o9aTV/C1aM67fpMw8LCmvNH1xdZvmKVerTq+QE1GvbAzLzo4+pB9/moOjaxYtvhLMIu53EzXs3Srek42StpWKP4475TkBXBYTkcOpNDTKKa33dmkpOL9pwJcCAsh8s3VCSlqrkep+LPA5l6P+7bN7Tg0NlcjobnEXtbw9q92eTkaWheu+jzzjMNLDgfpWLvqVzibmvYdiSHG/Fq2tYv+FvbNbBg5/EczkSq8j/Tf2fhaKegnr9+O/rF7/iHi1MWEPvH32Uq7/vGK2RG3iD8g89IO3+Fa9+uIGb9Dqq+O0Rbpup7Q7n+8xpuLNtAWngEp0dNQZWRRZUhL+k1uzB9D/wp/PDDD5kzZw6ffPIJ586dY+XKlXh45HdNcXBwYOnSpZw7d46FCxfy008/8eWXXwL53UPHjRtHnTp1iI6OJjo6mv79+wPQr18/4uLi2LZtGydOnKBx48Z06tSJpKT8i+EVK1Ywc+ZMPvvsM06cOIGPjw/fffedTq6FCxcyb9485s6dS1hYGF26dOH555/n0qVLOuUmTZrEu+++S3h4OF26dCn09/37778MHjyYd999l3PnzvHDDz+wdOlSbQVp/fr1fPnll/zwww9cunSJTZs2Ua9evTK/f/PmzSMoKIhTp04xatQoRo4cyYULF8r8eoCMjAwWLVrEqlWr2L59O/v27ePFF19k69atbN26leXLl/PDDz+wbt067WveeecdDh06xKpVqwgLC6Nfv3507dpV5/3JyMjgs88+Y/HixZw9e7bIFtmS/v+h5GPgSfCqaEkFF0tOnknVbkvPVBEekU5gDXu9/R5nJ3OaN3Ji+94Eve3Ty8OKCi6WnAhN1m5Lz1ARfukOdQIe/mLF0iL/Y56TU3ARrdFAbq6aerUcH3q/9/Nws8DV2YKQ8DTttoxMNReuZFLLv5gmpIdgbgZdn3EhLUNF5A39dX2r4JTfQng+Kk+7LSsHrsao8PMq+raxmRKqeJhx4VrBazTAhWt5VC3mNQDWVgqycjTooxeNmRK8KyiIiL7n/xeIiFZTxb3oU3wVd6VOeYBLNzVUcS+ozSqAfm3NOXBGRVzy46s5mimhkruSizd081+6qcbXo+j8vh5KLt3U7Sp24boaXw89394vIzcnJU72SsKv6h47kbfy8Pcu+qLRTAk+nmaE33fshF/Nxb9S0a+xtMivWMYnq7idqp9KsbuLGc4OZpyJKGgNzMzWEHEjhxo+lkW+xswMqnpbcPZywWs0Gjh7OZvqPkVXGvy8LfDztmD/iQy95L7Ly8OaCq6WHL//vHnxwc6bdrb5x05qWv7/R0A1eywslBwPLehZEnUzk5i4LOrWevTKoyovh/ibZ6lco5V2m0KppFKNlsReCzGafZbk7nF//tp9x320iqqlHPfn7zvuz18r/rNiaZFfsUzQ43FvpoTKFZVcvF5wHtEAl26o8PUs+jzi52mmUx7gQpQKX8/881QFRwWOdrr7zMqBa7Fq/DwN29HPuUVDEvYc0tkWv+sALi0aAqCwsMCpcR0Sdh8sKKDRkLDnIM4tGj3BpI+PWqM2yKM8eqBbIXfu3GHhwoV8/fXXvPZafj/7atWq0aZNfrP3xx9/rC3r5+fH+PHjWbVqFR988AE2NjbY29tjbm6Op6enttyBAwc4evQocXFxWFlZATB37lw2bdrEunXreOONN/jqq68YPnw4Q4cOBWDy5Mns3LmTtLSCi9S5c+cyceJEXnnlFQA+++wz9u7dy4IFC/jmm2+05d577z369OlT7N84bdo0Jk2apP37/P39mT59Oh988AFTpkwhKioKT09POnfujIWFBT4+PjRr1qzM72H37t0ZNWoUkN9K9+WXX7J3714CAgLKvI/c3Fy+++47qlWrBkDfvn1Zvnw5sbGx2NvbExgYSIcOHdi7dy/9+/cnKiqKJUuWEBUVhbe3NwDjx49n+/btLFmyhFmzZmn3++2339KgQYMif29p//9Q8jFQFtnZ2WRn63ZpUqtyUJoVfRFzPxen/AuX2yl5OtuTU3JxdS7+TuiDeu4ZNzKy1Px7TH9dVl2d8//GpPvG09xOzsXVpWx/f1Gu3cwkJj6bNwb5Mvf7CLKy1fTr5U1FNysquOjvPXFxyj+dJKfqfrkm38nD2enR77o2rW/PB69XxspSwe2UPD758hqpaSWPyXoQjrb5X+53MnQrSnfS1TjaFd1EaG+jwEypKPSa1AwNHq5FXyzYWSvo1sKag6f102JtawVmSgVp9w3/TMsEN6eiX2NvA+mFymtwsCnI3LaeErUaDoU/3i8/O2vFf/nve98zNFR0Lvo9dLAt/J6nZWh0ur09SY72+b83NV33vbqTodF247yfvW3+313Uazwr6F68tmtkxYvtbbC2VBCTqGLh6jRUevpvcXbIz5eaprvD1DQ1TsV0C3ewVWJmpiDlvs9fSpoaL/eiz1Xtg2y5GZfLpSj99kS5ew67naz7eUpKzinzeVOhgDEj/Ak7l0JkVH7l1tXFkpxcNWnpun9jUnKu9lz9KLLSb6NRq7Cxr6Cz3dbejeS4SKPZZ0nunhcLHcNlOGemZtx3vGWo8XDV/Z54pqElL7a757hfm663497u7rn7Ec87dzLUONqaa5+H/HPRvdIy1AY7N91l5eFGdqzuze7s2AQsnBxQWlth4eKE0tyc7LjE+8okYhfg/ySjChPwQFd04eHhZGdn06lTpyKfX716NYsWLSIiIoK0tDTy8vJwdCy5ZSM0NJS0tDQqVNA92WVmZhIREQHAhQsXtBWuu5o1a8aePXsASE1N5datW7Ru3VqnTOvWrQt1fw0KKnrSk3vzBAcH63TFVKlUZGVlkZGRQb9+/ViwYAH+/v507dqV7t2706tXL8zNy/ZW1q9fMGhdoVDg6elJXFxcmV57l62trbbiCODh4YGfnx/29vY62+7u9/Tp06hUKmrWrKmzn+zsbJ333dLSUiff/Ur7/4eHOwbuNXv2bKZN0+3DX7XO6/jXe6PI8h1bu/L+CF/tzx99fqnIcvrWtV0F9gQnkpv78C0ynZ9xY9ybBf+Pk2aG6yNaISqVhk8+O88Hb1dny/Lm5Kk0nAhL5vCJ2480fqR9c0feHuSt/XnaV8WPF9WHsPPpjPk0AkcHc7q0dWbim5UZNyuSlDsPV4EMqmXBq50LWkS/25Sur6jFsraEkS/aEp2oYssh/Y770ifvCgpaBprx7Z9Ptsu5qWgWaMmALgVjVr9Zl1ZC6Ud35Gw24VdzcbRT8mwzK15/wY4vfrtD3kMc+q0a2DDshYK7CnN/Lbq7uz5ZmEPL+jZs2lt81/SyeradO+NH1tD+PHH62Ufe59g3q1PVx463PwwtvfBTrGltCwbcM1b72/WP97g/ei6H8Kt5ONkreLapNa/3suWLlWkPddwLIRPm6M8DVR5tbIrvenbo0CEGDhzItGnT6NKlC05OTqxatYp58+aVuM+0tDS8vLx0xt/d9TgmarGzsys1z7Rp04psnbS2tqZKlSpcuHCBv//+m127djFq1Ci++OIL9u/fj4VF6a0495dRKBSo1fm30pTK/Ltd985uWtR4waL2UdJ+09LSMDMz48SJE5iZ6d5JvrfCaWNjg6KE2kRJ///w8MfAvT788EPGjh2rs633iDPF/84TyZy/XHDRf3dSHBcnc5KSC947ZycLIq7qp7tU3QB7fCrZMGNR8RPUlEXw0STCLxZ8+d7N7upkQdLtguwuzhZcjny0is3FK+mMGBeKna0Z5uYKUlLz+G5OPS5EPPyX/5GQNC5cidD+bPFf91hnRzOdll9nB3Mirz9699LsHA3R8blEx+dy4UomP86oxnNtnFm77eEmgjgdkcvVe2b3uzuhgYOt7uQwDv/NglmUtEwNKnXhFi9H28ITzFhZwKg+dmTlwE9/ZqDW0x30jGxQqTWFJpext6FQa2RBbrArVL7gLryvhwI7axjfr+C8YqZU0C3IjFaBZsxbp79KZXqW5r/8uu+hg62C1Iyiv+zvFNHKaF9Eq8DjEno5h8hbBcf43XuHjnZKUu9pqXKwVRR/7GTk/935LZO6r7m/JScrB7Jy1MTdVhN5K4/57zrTsKYFx8Mf/P/hZHgWEdcLWunM/5vMytFeSfKdgt/raK8kKrro/d/JUKNSaf5rmSwo42SvLNQaCdCsrg1WFgoOnHr02ZEPHE3i3IWT2p/vnndcnC1JvOe86epsyaXI0s9v771RjZZNXRn9YSjxiQXvS9LtHCwtlNjbmem0Pro6W5CU/Oi9BqztXFAozci8byKbjLQEbB0ebiz649jnvcIu53I1uuAGwN1zZqHjvgznzPyeHgVlHG2Vhc6Zd4/7+GSIvJXOvNFONKxhwfHzj37+Sb977n7E846DrVJb/u75x/6+fdjbKrmVYNgab3ZsAlYeuseAlYcbuSl3UGdlk5NwG3VeHlYVK9xXpgLZMfobniPKhwfqhF2jRg1sbGzYvbvwdMAHDx7E19eXjz76iKCgIGrUqMG1a9d0ylhaWupM4gLQuHFjYmJiMDc3p3r16joPN7f8Az0gIIBjx47pvO7enx0dHfH29iY4OFinTHBwMIGBgQ/yJ9K4cWMuXLhQKEv16tW1lTsbGxt69erFokWL2LdvH4cOHeL06UefytjdPX/2tOjoaO02fSxr0qhRI1QqFXFxcYX+pnu7EJempP9/KNsxUBorKyscHR11HiV1Wc3MUnMrNlv7uHYji8TbOTSqW9DaaWujpHY1O85d0s9d0m4d3LhwJZ0rUY92IZSZpeZmTJb2cfV6Jom3c2hc31lbxtbGjNo1HDh74dHv2EP+WKCU1DwqeeVPDHH/kh4PIjNbra3MRcfnT2STlJxLw1oFN2hsrJUE+Ntw/or+l9RQKBRYmD/8OJLsXEhIVmsfMYn5k3oE+BTcU7O2zB/ncu/SCfdSqeF6rErnNQqgpo85kfe8xtoS3nnJDpUKfvgjXa93zlVquJWowd+r4L1QAP5eSq7HF11DvR6vppqX7ntX3VvB9fj8C56QCDVf/5HHN38WPFLT8yfYWbZTv62RKjXcjFdTo7Ju/uqVlFyLLTr/tVg1NSrp3girWVnJtdgnc4GWnQPxyWrtIzoh/9ip5at77FT1NufKrbwi96FS588oee9rFEAtPwuu3Cz6NZDfxVKhAAuzh+s2kJWjITZJpX3cjMsj+Y6KOv5W2jI2VgqqVbbkUlTRlSSVCiJv5VKnWsG5WaGAOtWsuFxEt9T2TWw5eT6LOxmPfsckM1N133kzg8SkHJrcf96sWfp58703qvFMiwq893EY0XG6PQEuRKSRm6vW2W+VSjZ4VrTmzPlHPx+bmVviXqkONy4XjEPTqNXcvHwYD9+GRrPPe2Xn3nfcF3POrOplpnNz5V53j/uA+477AN/iPytQcNybP+RxX1SOG3FqalYpOI8ogBqVzXSWDLnX1RgVNSvfd96pYsa1mPzjOjFVQ2q6WqeMlUX+GO2rMYYd+5Z8OIQKHVvobHPr1Irbh0MA0OTmknLyLG4dWxYUUCio0KElyYdPPcGkj49GrTbIozx6oJZHa2trJk6cyAcffIClpSWtW7cmPj6es2fPUqNGDaKioli1ahVNmzZly5YtbNyou36Mn58fkZGRhISEULlyZRwcHOjcuTMtW7akd+/efP7559SsWZNbt26xZcsWXnzxRYKCghg9ejSvv/46QUFBtGrVitWrVxMWFoa/f0E/7AkTJjBlyhSqVatGw4YNWbJkCSEhIaxYseKB3pDJkyfTs2dPfHx86Nu3L0qlktDQUM6cOcOMGTNYunQpKpWK5s2bY2try2+//YaNjQ2+vr6l77wU1atXp0qVKkydOpWZM2dy8eLFB2q1K07NmjUZOHAggwcPZt68eTRq1Ij4+Hh2795N/fr16dGjR5n2U9L///Dhw8t0DDwJG7bFMbC3FzdjsoiJy2FIP28Sb+fqzKT6+Uc1CT52mz92xuf/bVZKKnkWXDx5uVtRzdeGO2kq4u65G21ro+SZ5i78sOLGY8m+dnM0g/tW5kZ0JjGx2Qx7tQqJSTk6lbz5UwP590gSG7flL21hY62kkmfBrIheFa2o7mdLaloecQn52du3rEByai6xCdn4+9gyenhVDhxN4nhoil7z/7E7if493LkZl0NsQi6DXnAnKTlPZybVmWN9OXQqlc1788eLWlsp8KpYcBHq4WZB1SpWpKWriE/Kw8pSQf8e7hwJvUNSch6O9mb07OBCBRdzDpxILZThUew9lU3X5tbE31aTmKqmRytrUtI0hF4uuCAe3deO0Mu5/BOS/97uOZHD/3W1ISpWxdUYFR0aW2JloeDw2fznrS3h7ZfssDRXsGxbBtaWCqz/+3PTMjXoYxnV4LNqXmprxq0EDTcS1LQKNMPSHE5cyv/ieqmNGakZsOtk/kXRwXNqRnQzp3UdJRduqKlf1QzvCgo2Hcx/PjM7f9KUe6k0cCdTQ4J+33IA9ofm8UpHS27Eq4mKVdO2vjmWFgqOnc+/mHyloyUp6Rq2Hcn/f/g3LI9RL1jRroE5566paFQ9fz3HdfsLPqs2VuBir9COvXJ3VgJq7mRouKP/exnsPp5Ft1bWxN1Wk5Cs4vm2NiSnqQm5WHDsvNffnpBLuew7mV9R+ftYFkN62HEtRsXV6Dw6BlljaYF2PKybk5ImtS0Jj8zlToYaF0clXZpbk5On4cwV/VXitwen07uDA7GJecTdVtG3swPJd1ScCC/oMfDhsAocP5fJrsP5PTi2Bafx5ksuRN7MJeJGLl1b2WFlqSg0IY6HqxkBfpaPtXvsmr9u8trLVbgRnUl0bBYjBviSmJTNv4cLWkwWfFqPfw4nsGFr/s3ZsW9Wo/MzFfnfrHNkZKq0Y+LTMlTk5KhJz1Cx5e9Y3hnmT2paHukZKt57oxqnz6dy7qJ+buY1eGYIe1ZPwr1yXTyq1Cfs32Xk5mRSq2l+z6fdv0/EzqkiLbqPA/InxLkdm9/bQ6XKJT0lloSb4VhY2eLk5lumferbnhPZdG9pRfxtFQkpanq1sSElTU3IpYLj892X7Qi5lMv+U/nH9e7j2bzW3ZaomDyuRqvoGGSFlQUcOnPPcV/LgvCrefnHvUPBcX82Un/H/b6QXAZ0tuJ6nJprsSraNbDE0lzBkfD8886AzlakpGvYcig/1z+hubzzog3tG1pw7moejWpaUKWikjV7C2487A/N5dkgS+KT1STd0dCtuSWp6RpOXym+YvwwzOxssavuo/3ZtmplHBvUIicphazr0QTMGIt1JQ9Ch04E4NqPq/AdNZBasydwfel63Dq0wKtfN449/6Z2H5ELltDgl89IPnGGlGNh+I15DXM7G64v26DX7ML0PfAsFp988gnm5uZMnjyZW7du4eXlxVtvvcXw4cN5//33eeedd8jOzqZHjx588sknTJ06Vfval156iQ0bNtChQweSk5NZsmQJQ4YMYevWrXz00UcMHTqU+Ph4PD09eeaZZ7SzeA4cOJArV64wfvx4srKyePnllxkyZAhHjx7V7nvMmDGkpKQwbtw44uLiCAwM5M8//6RGjRr3/wkl6tKlC5s3b+bTTz/ls88+w8LCglq1ajFixAggvyvtnDlzGDt2LCqVinr16vHXX38VGrP5MCwsLPj9998ZOXIk9evXp2nTpsyYMYN+/fo98r6XLFnCjBkzGDduHDdv3sTNzY0WLVrQs2fPB9pPcf//AM8//3ypx8CTsPqvGKytlLw/wg97WzPOXEhj0pyLOuMTvT2scHIo6JIX4G/HvMkFkxaNHFwFgB37E/ji+6va7R1auqJQwN7gx3Mh9PvGm9hYKRn/VjXs7cw5HZ7KhOnnyLk3u6c1To73ZK9mz8LpdbU/vzOsKgDb9sQx5+vLQP6kEm8P9cPFyYLE5Fx27Ivj17X6rwCv356ItaWS0f/njZ2tknOXMpi8MIrcvIL8nu4WONoXnHpq+Nowe4Kf9ufX++e3hv99MJkFS26hVkNlT0s6tayMo70ZqekqLl3NYuLnV4m6pd9xg38fy8HKQsGrz9r8t9C7im836LYUujkpdbpYnryYi72tgh6trHGwVXAzXsU3G9K1XZiqVDSjqlf+3zt1uO4sjZMXp5KU+ui1xzNX1dhZQ6dGZtjbmBGdpGHZrjzS/7v2d7ZXoKHg91yP17Bmfx6dG5vzbGMzElM1rNyT91hnVS1JaIQKe5tcujQtWKx78eZsbbdbF3uFTiX7WqyaFX/n0LW5Bd2aW5CQomHp9mxikgoK1fEz45WOBTeE/u+5/H/vPJbLzuP6H8u580g2VhYKBnaxxdZaweUbeXy1Rnd8lruL7rFz4nwuDraZ9GpjjeN/Xf2+WpOmPXZyVRpqVDanU5AVttb5XaEvX8/li9/u6LWL7uZ/07CyVDCstzO21kouXsvh86WJ5N5zvVvR1QwH24IWlSOns3C0S+GlTg44OZhxLTqXz5cmFupy266JLUmpKk5ffnxjfFduuIGNtRkTRtX477yZwvhpZ0s8b77YPX+89lezdMf5z1p4gW178ucL+OrnCNQaf2ZMrI2FhZKjp24z//vLestdvWF3MtOTOLbjKzLuxOPmXZueI37SdjFNS76lM5QkPTWOtQte1P4cuv8XQvf/grd/U14YubxM+9S3nUezsbRQMKCLLbZWCiJu5vHVOt1zpruzGfY2BRtOXMjF3jaTnq1tcLTL79r91bqCc2Zunobqlc3p2OSe4/5GHnNXpOn1uA+5nIe9jYKuzSxxtFNwM17ND39laifvcnFQorlntsyrMWqW78yiewsrerTMryD+sjWLmKSCMntO5mJpruDlDlbYWCmIjFbxw1+Zeh+n6dSkLi13L9f+HDj3fwBc/3UDYcM/xMrLHZsqXtrnM6/e4NjzbxI470P8Rg8m60YMp9/8mIRdB7Rlotduw9LdlZpTxmDl6U5qaDhHe44g575JdIRQaDT6uO/95D377LN4enqyfPny0gsLk9b51eOGjvBIcrOfzCLlj4NDBWdDR3gkfrUrGTrCI3F21d8SJ09aVqZ+77Q/aWmpxjuhUVmkpT6G5tUn5NqZiNILGbGXhrcpvZARu3BBvz1SniRrG/2up/ikdX6/iaEjPJIeuQ+29NyTZKhryb9/L3miTlNkEp+yjIwMvv/+e7p06YKZmRm///67dsIaIYQQQgghhBCPn0lUHhUKBVu3bmXmzJlkZWUREBDA+vXr6dy5s6Gjaf37779069at2OfvXZNSCCGEEEII8WTc2wVZPBqTqDza2Njw999/GzpGiYKCgvQyM6oQQgghhBBCGCOTqDyaAhsbG6pXr27oGEIIIYQQQgjxWEjlUQghhBBCCFFuqdUmOT+oUXr4FbaFEEIIIYQQQjw1pOVRCCGEEEIIUW5p1DJhjr5Iy6MQQgghhBBCiFJJ5VEIIYQQQgghRKmk26oQQgghhBCi3NLIhDl6Iy2PQgghhBBCCCFKJZVHIYQQQgghRLml0agN8nickpKSGDhwII6Ojjg7OzN8+HDS0tJKLD969GgCAgKwsbHBx8eHMWPGkJKS8kC/VyqPQgghhBBCCGFCBg4cyNmzZ9m1axebN2/mn3/+4Y033ii2/K1bt7h16xZz587lzJkzLF26lO3btzN8+PAH+r0y5lEIIYQQQghRbpW3MY/h4eFs376dY8eOERQUBMBXX31F9+7dmTt3Lt7e3oVeU7duXdavX6/9uVq1asycOZNBgwaRl5eHuXnZqoXS8iiEEEIIIYQQJuLQoUM4OztrK44AnTt3RqlUcuTIkTLvJyUlBUdHxzJXHEFaHoUQQgghhBBC77Kzs8nOztbZZmVlhZWV1SPtNyYmhooVK+psMzc3x9XVlZiYmDLtIyEhgenTp5fY1bUo0vIohBBCCCGEKLc0arVBHrNnz8bJyUnnMXv27GJzTpo0CYVCUeLj/Pnzj/x+pKam0qNHDwIDA5k6deoDvVZaHoUQQgghhBBCzz788EPGjh2rs62kVsdx48YxZMiQEvfp7++Pp6cncXFxOtvz8vJISkrC09OzxNffuXOHrl274uDgwMaNG7GwsCj5j7ifRoinWFZWlmbKlCmarKwsQ0d5YKacXaOR/IZkytk1GslvaKac35SzazSS35BMObtGY/r5ha5z585pAM3x48e123bs2KFRKBSamzdvFvu6lJQUTYsWLTTt2rXTpKenP9TvVmg0mvI1/ZAQDyA1NRUnJyftgGFTYsrZQfIbkilnB8lvaKac35Szg+Q3JFPODqafXxTWrVs3YmNj+f7778nNzWXo0KEEBQWxcuVKAG7evEmnTp349ddfadasGampqTz33HNkZGSwceNG7OzstPtyd3fHzMysTL9Xuq0KIYQQQgghhAlZsWIF77zzDp06dUKpVPLSSy+xaNEi7fO5ublcuHCBjIwMAE6ePKmdibV69eo6+4qMjMTPz69Mv1cqj0IIIYQQQghhQlxdXbWtjEXx8/Pj3g6m7du3Rx8dTmW2VSGEEEIIIYQQpZLKo3iqWVlZMWXKlEdeb8cQTDk7SH5DMuXsIPkNzZTzm3J2kPyGZMrZwfTzC+MhE+YIIYQQQgghhCiVtDwKIYQQQgghhCiVVB6FEEIIIYQQQpRKKo9CCCGEEEIIIUollUchhBBCCCGEEKWSyqMQQgghhBBCiFJJ5VE8Nc6dO8eoUaNo1KgRXl5eeHl50ahRI0aNGsW5c+cMHe+pkJmZSUZGhvbna9eusWDBAnbu3GnAVEIIIR6HrVu3smPHjkLbd+zYwbZt2wyQSAjxqMwNHUCIJ2Hbtm307t2bxo0b88ILL+Dh4QFAbGwsu3btonHjxvzxxx906dLFwEnLtxdeeIE+ffrw1ltvkZycTPPmzbGwsCAhIYH58+czcuRIQ0cs14YNG8bChQtxcHDQ2Z6ens7o0aP55ZdfDJSsZLm5udjY2BASEkLdunUNHeeBmXp+jUbDunXr2Lt3L3FxcajVap3nN2zYYKBkwthNmjSJOXPmFNqu0WiYNGkS3bp1M0Cq8q1Ro0YoFIoylT158uRjTiPKI1nnUTwVGjRowAsvvMCnn35a5PNTp05lw4YNhIWFPeFkZbNo0aIylx0zZsxjTPJo3Nzc2L9/P3Xq1GHx4sV89dVXnDp1ivXr1zN58mTCw8MNHbFUy5cv5/vvvycyMpJDhw7h6+vLggULqFq1Ki+88IKh45XIzMyM6OhoKlasqLM9ISEBT09P8vLyDJSsdP7+/mzcuJEGDRoYOspDMeX87777Lj/88AMdOnTAw8Oj0IXpkiVLDJTswWRlZREWFlZkBfj55583UKqyMdXsNjY2hIeH4+fnp7P96tWr1KlTh/T0dMMEewDFXRcoFAqsra3x8fHBysrqCacq3rRp08pcdsqUKY8xiSi3NEI8BaytrTXnz58v9vnz589rrK2tn2CiB+Pn56fzsLOz0ygUCo2Li4vGxcVFo1AoNHZ2dpqqVasaOmqJbGxsNNeuXdNoNBpNv379NFOnTtVoNBpNVFSUxsbGxpDRyuTbb7/VuLm5aWbMmKGxsbHRREREaDQajWbJkiWa9u3bGzhd8VJSUjTJyckahUKhuXz5siYlJUX7SEpK0ixbtkzj5eVl6JglWrx4saZ79+6axMREQ0d5KKac38XFRbNlyxZDx3gk27Zt07i7u2sUCkWhh1KpNHS8Eplydg8PD83u3bsLbd+1a5fG3d3dAIke3N33ubiHlZWVZvDgwZrMzExDRxXiiZAxj+Kp4Ofnx5YtW4p9fsuWLfj6+j7BRA8mMjJS+5g5cyYNGzYkPDycpKQkkpKSCA8Pp3HjxkyfPt3QUUtUvXp1Nm3axPXr19mxYwfPPfccAHFxcTg6Oho4Xem++uorfvrpJz766CPMzMy024OCgjh9+rQBk5XM2dkZV1dXFAoFNWvWxMXFRftwc3Nj2LBhvP3224aOWaKvv/6af/75B29vbwICAmjcuLHOw9iZcn4nJyf8/f0NHeORjB49mn79+hEdHY1ardZ5qFQqQ8crkSlnf+GFF3jvvfeIiIjQbrt8+TLjxo0z6hbTe23cuJEaNWrw448/EhISQkhICD/++CMBAQGsXLmSn3/+mT179vDxxx8bOqoQT4R0WxVPhbVr1zJgwAC6detG586ddcY87t69m+3bt7Ny5UpeeuklAyctXbVq1Vi3bh2NGjXS2X7ixAn69u1LZGSkgZKVbt26dQwYMACVSkXHjh3ZtWsXALNnz+aff/4x+gkUbGxsOH/+PL6+vjg4OBAaGoq/vz+XLl2ifv36ZGZmGjpikfbv349Go6Fjx46sX78eV1dX7XOWlpb4+vri7e1twISlK60rlrF3vzLl/MuWLWP79u388ssv2NjYGDrOQ3F0dOTUqVNUq1bN0FEemClnT0lJoWvXrhw/fpzKlSsDcOPGDdq2bcuGDRtwdnY2bMAyaNasGdOnTy80J8KOHTv45JNPOHr0KJs2bWLcuHE6lWRjoFKp+PLLL1mzZg1RUVHk5OToPJ+UlGSgZMKUyYQ54qnQr18/KlWqxKJFi5g3bx4xMTEAeHp60rJlS/bt20fLli0NnLJsoqOjixybplKpiI2NNUCisuvbty9t2rQhOjpaZ+xXp06dePHFFw2YrGyqVq1KSEhIoVbq7du3U7t2bQOlKl27du2A/BbsKlWqoFSaXqcTY65clYUp53/55Zf5/fffqVixIn5+flhYWOg8bwqTbvTt25d9+/aZZAXMlLM7OTlx8OBBdu3aRWhoKDY2NtSvX59nnnnG0NHK7PTp00X2TPL19dX2OGnYsCHR0dFPOlqppk2bxuLFixk3bhwff/wxH330EVevXmXTpk1MnjzZ0PGEiZKWRyFMTK9evbh58yaLFy/Wdnc7ceIEb7zxBpUqVeLPP/80cMLSXb58mYiICJ555hlsbGzQaDRlnh3OkBYvXszUqVOZN28ew4cPZ/HixURERDB79mwWL17MK6+8YuiIpUpOTubnn3/WTk5Up04dhg0bhpOTk4GTlS45OZl169YRERHBhAkTcHV15eTJk3h4eFCpUiVDxyuVqeZ/+eWX2bt3L3379i1ywhxTqBhnZGTQr18/3N3dqVevXqEKsDFPNGbK2cuDRo0a0aBBA3788UcsLS2B/BmUX3/9dUJDQzl16hTBwcEMGjTI6Hr+VKtWjUWLFtGjRw8cHBwICQnRbjt8+DArV640dERhgqTyKISJiY+P57XXXmP79u3ai4jc3Fy6du3KkiVLtF1yjVFiYqL2QlShUHDp0iX8/f0ZNmwYLi4uzJs3z9ARS7VixQqmTp2q7Z7k7e3NtGnTGD58uIGTle748eN06dIFGxsbmjVrBsCxY8fIzMxk586dRj32LiwsjM6dO+Pk5MTVq1e5cOEC/v7+fPzxx0RFRfHrr78aOmKJTDm/nZ0dO3bsoE2bNoaO8tB+/vln3nrrLaytralQoYJOBVihUHDlyhUDpiuZqWVftGgRb7zxBtbW1qXOFG4KFd+DBw/y/PPPo1QqqV+/PpDfGqlSqdi8eTMtWrRg+fLlxMTEMGHCBAOn1WVnZ0d4eDg+Pj54eXmxZcsWGjduzJUrV2jUqBEpKSmGjihMkFQehTBRly5d0rYe1apVi5o1axo4UekGDx5MXFwcixcvpnbt2toxgzt27GDs2LGcPXvW0BHLLCMjg7S0tELLXhiztm3bUr16dX766SfMzfNHLeTl5TFixAiuXLnCP//8Y+CExevcuTONGzfm888/1xlvevDgQQYMGMDVq1cNHbFEppy/Vq1arFmzRnvhbIo8PT0ZM2YMkyZNMrlu26aWvWrVqhw/fpwKFSpQtWrVYssZY8W3OHfu3GHFihVcvHgRgICAAAYMGFBozVxjExAQwK+//krz5s1p06YNPXv2ZNKkSaxevZrRo0cTFxdn6IjCBEnlUQgTMHbsWKZPn46dnR1jx44tsez8+fOfUKoH5+npyY4dO2jQoIHOBfSVK1eoX78+aWlpho5YosjISPLy8qhRo4bO9kuXLmFhYVFoLTNjY2Njw6lTp6hVq5bO9nPnzhEUFERGRoaBkpXOycmJkydPUq1aNZ1j59q1awQEBJCVlWXoiCUy5fxbtmzhq6++4vvvvzf6Y7w4rq6uHDt2zCTHDZpydmFYkyZNwtHRkf/973+sXr2aQYMG4efnR1RUFO+//z5z5swxdERhgmTCHCFMwKlTp8jNzdX+uzjGPm4wPT0dW1vbQtuTkpKMapHl4gwZMoRhw4YVqjweOXKExYsXs2/fPsMEKyNHR0eioqIKVR6vX79u9HfQraysSE1NLbT94sWLuLu7GyDRgzHl/IMGDSIjI4Nq1apha2tbaMydKczY+Nprr7F69Wr+97//GTrKAzPl7OXFpUuX2Lt3L3FxcajVap3njHnimXsrh/3798fX15eDBw9So0YNevXqZcBkwpRJy6MQ4onp3r07TZo0Yfr06Tg4OBAWFoavry+vvPIKarWadevWGTpiiRwdHTl58iTVq1fX2X758mWCgoJITk42TLAyGjNmDBs3bmTu3Lm0atUKgODgYCZMmMBLL73EggULDBuwBCNGjCAxMZE1a9bg6upKWFgYZmZm9O7dm2eeecaos4Np51+2bFmJz7/22mtPKMnDGzNmDL/++isNGjSgfv36hSrAxtxjw9Syl9Y75l7Glr0oP/30EyNHjsTNzQ1PT89CY05NYbZhIfRJKo/iqRMVFYWFhQVeXl7abdHR0eTm5uLj42PAZOXfmTNn6NSpE40bN2bPnj08//zznD17lqSkJIKDg42+W5aTkxP79u0rco3N9u3bc+fOHQMlK5ucnBwmTJjA999/r13uxcLCgpEjRzJnzhyjbv1NSUmhb9++HD9+nDt37uDt7U1MTAwtW7Zk69at2NnZGTpiiUw9v6nr0KFDsc8pFAr27NnzBNM8GFPLXlLeexlj9qL4+voyatQoJk6caOgoD2z27Nl4eHgwbNgwne2//PIL8fHxJvk3CcOTyqN46iiVSmrVqsW5c+e022rXrs3FixdRqVQGTPZ0SElJ4euvvyY0NJS0tDQaN27M22+/rVOZN1a9evXCxsaG33//HTMzMyB/fc3+/fuTnp7Otm3bDJywbDIyMrSzxd7timgqDhw4QFhYmPbY6dy5s6EjPRBTzB8VFVXi83LTTTyqGzdu4O3tbZQTAjk6OhISEoK/v7+hozwwPz8/Vq5cqe1pcteRI0d45ZVXjG5pEWEapPIonjr79+/H1taWpk2barcdO3aMjIwM7WLq4vGIioqiSpUqRY7NjIqKMvqL0HPnzvHMM8/g7OxM27ZtAfj3339JTU1lz5491K1b18AJSzZs2DAWLlxYaHxjeno6o0eP5pdffjFQstJdv36dKlWqGDrGQzPl/EqlssTx1HLTTTwqY66gDR8+nKZNm/LWW28ZOsoDs7a2Jjw8vNCst1euXCEwMNCoJ+oSxksqj0KIJ8bMzIzo6OhCy1skJiZSsWJFk7gIvXXrlrbl1MbGhvr16/POO+/g6upq6GilKu79T0hIwNPTU9uV1RiZmZnRpk0bBg0aRN++fXFxcTF0pAdiyvlDQ0N1fs7NzeXUqVPMnz+fmTNn0qdPHwMlK7sOHTqUWAE25u6Tppy9rO6dgdjYzJ49m/nz59OjRw/q1atXaMypMa9VWaNGDaZMmcKgQYN0ti9fvpwpU6aYzFIpwrjIbKtCiCdGo9EUeRGUlpaGtbW1ARI9OG9vb2bNmmXoGA8kNTUVjUaDRqPhzp07Ou+1SqVi69atRr9e5fHjx1m5ciWffvopo0ePpmvXrgwaNIhevXoZ9VjNu0w5f4MGDQptCwoKwtvbmy+++MIkKo8NGzbU+Tk3N5eQkBDOnDlj9BP+mHL28uDHH3/E3t6e/fv3s3//fp3nFAqFUVceX3/9dd577z1yc3Pp2LEjALt37+aDDz5g3LhxBk4nTJW0PIpyr1GjRmVewkJmTXs87s6+t3DhQl5//XWdMXYqlYojR45gZmZGcHCwoSIWKywsjLp166JUKgkLCyuxrLEuol5at0OFQsG0adP46KOPnmCqh6PRaNi3bx8rV65k/fr1qNVq+vTpY9Rdbu9l6vnvdfnyZRo0aEB6erqhozy0qVOnkpaWxty5cw0d5YGZcvb7GXPLoynTaDRMmjSJRYsWkZOTA+R3ZZ04caJRLzEijJtUHkW5N23aNO2/s7Ky+PbbbwkMDKRly5YAHD58mLNnzzJq1Chmz55tqJjl2t3Z9/bv30/Lli2xtLTUPmdpaYmfnx/jx48vtH6iMVAqlcTExFCxYkVtJayo06ZCoTDabrf79+9Ho9HQsWNH1q9fr9PF1tLSEl9fX7y9vQ2Y8OGcPHmS4cOHExYWZrTvfUlMJf/961NqNBqio6OZOnUq58+fJyQkxDDB9ODy5cs0a9bMJNaqvJ8pZ7+fVB4fr7S0NMLDw7GxsaFGjRpG39tBGDfptirKvSlTpmj/PWLECMaMGcP06dMLlbl+/fqTjvbU2Lt3LwBDhw5l4cKFODo6GjhR2UVGRmoXcTfVmenuTgQVGRmJj49PqS3xo0aN4tNPP8XNze1JxHsgN27cYOXKlaxcuZIzZ87QsmVLvvnmG0PHKjNTzO/s7FzomNFoNFSpUoVVq1YZKJV+HDp0yGS6zN/PlLPfr6y9g56UsWPHMn36dOzs7Epdt9IU1qq0t7fXmSRQiEchlUfxVFm7di3Hjx8vtH3QoEEEBQWZZNcxU/LMM88UmmzA2Pn6+gL544ymTZvGJ598UmjmOlNx928pzW+//cb48eONqvL4ww8/sHLlSoKDg6lVqxYDBw7kjz/+KPPfZGimnP/uzZ+7lEol7u7uVK9eHXNz07iMuH9c5t3W0+PHj/PJJ58YKFXZmHL2sjK2TnCnTp0iNzdX+29T0qdPH5YuXYqjo2Op45E3bNjwhFKJ8sQ0zvpC6ImNjQ3BwcGFukcGBweXmzu4xmzSpEm8++679OvXj+HDhxdae8qYWVhYsH79+nJzsVYSY7uQA5gxYwavvvoqixYtKnICF2NnyvnLwxJGTk5OOj8rlUoCAgL49NNPee655wyUqmxMOfu97vbuKWrJmnPnzhlV1/l7b5jcf/PE2Dk5OWlbcu8/doTQBxnzKJ4qc+bMYdq0abz++us0a9YMyF8s95dffuGTTz5h0qRJBk5YvuXl5fHXX3+xdOlStm3bhr+/P0OHDuW1117D09PT0PFK9dprr9GwYUPef/99Q0d5rIxx/FFxM/Xez1i73Jp6/kuXLrF3717i4uJQq9U6z8nEG6I4eXl5TJs2jUWLFpGWlgbkd6EcPXo0U6ZMMYmeKKa6Pq5Go+H69eu4u7tjY2Nj6DiiHJHKo3jqrFmzhoULFxIeHg5A7dq1effdd3n55ZcNnOzpEhsby2+//cayZcs4f/48Xbt2Zfjw4fTq1QulUmnoeEWaMWMG8+bNo1OnTjRp0gQ7Ozud5415yvYHYYyVx7Iy5sXGy8IY8//000+MHDkSNzc3PD09dSrBCoXCpGapzsnJKbIC7OPjY6BEZWeK2UeOHMmGDRv49NNPtZPUHTp0iKlTp9K7d2++++47Aycsnamuj6tWq7G2tubs2bNGORmdMF1SeRRCGMzdVt9ly5bh5eXF7du3cXFxYcmSJbRv397Q8QopaayjQqEoNwsum3Ll0ZSzg3Hm9/X1ZdSoUUycONHQUR7axYsXGT58OAcPHtTZfrdF2JhnuzXl7E5OTqxatYpu3brpbN+6dSuvvvoqKSkpBkpWurvr47q4uHDp0iXtxGmQv8TUX3/9xaRJk7h165YBU5asTp06/Pzzz7Ro0cLQUUQ5ImMexVMnOTmZdevWceXKFcaPH4+rqysnT57Ew8ODSpUqGTpeuRcbG8vy5ctZsmQJV65coXfv3mzevJnOnTuTnp7Op59+ymuvvca1a9cMHbWQe2dbvXvfzdhmCRRC327fvk2/fv0MHeORDB06FHNzczZv3oyXl5dJfW5NObuVlRV+fn6FtletWlVnySZjdHeWYYVCQc2aNQs9f3d9XGM2Z84cJkyYwHfffUfdunUNHUeUE9LyKJ4qYWFhdO7cGScnJ65evcqFCxfw9/fn448/Jioqil9//dXQEcu1Xr16sWPHDmrWrMmIESMYPHiwzpqDAHFxcXh6ehbqmmUsfv75Z7788ksuXboEQI0aNXjvvfcYMWKEgZOVLioqiipVqhS57ML169e13d9GjhzJ9OnTjW7cXVkYY8vdgzDG/MOHD6dp06a89dZbho7y0Ozs7Dhx4gS1atUydJQHZsrZP/30U86fP8+SJUu0awtmZ2czfPhwatSoobOUlrEpD+vjuri4kJGRQV5eHpaWloXGPpaHNULFkyctj+KpMnbsWIYMGcLnn3+uM/i9e/fuDBgwwIDJng4VK1Zk//792rEvRXF3dzfa9RQnT57M/PnzGT16tM74nffff5+oqCg+/fRTAycsWdWqVYscu5OUlETVqlW13d9MYRySeHKqV6/OJ598wuHDh6lXr16hSU5MYaxvYGAgCQkJho7xUEw5+6lTp9i9ezeVK1fWzjIcGhpKTk4OnTp10llKwtiWjbh3fdwqVaoY7Vj8kixYsMDQEUQ5JC2P4qni5OTEyZMnqVatms4d/mvXrhEQEEBWVpahIwoj5u7uzqJFi3j11Vd1tv/++++MHj3a6C/wlEolsbGxOmN3AK5du0ZgYCDp6ekGSqY/xthy9yCMMX95GOu7Z88ePv74Y2bNmlVkBdjR0dFAyUpnytmHDh1a5rJLlix5jEkeXUZGBlFRUeTk5Ohsr1+/voESCWEY0vIonipWVlakpqYW2n7x4sVCF9Ti8di9ezdffvmlzmy37733Hp07dzZwstLl5uYSFBRUaHuTJk2MdsY9yG9xh/wL/U8++QRbW1vtcyqViiNHjtCwYUMDpSubsna5HTRokFFfTJfGGPMba0+AB3H3/NKpUyed7aYw6YwpZzf2CmFZxMfHM3ToULZt21bk88b8/gNERESwZMkSIiIiWLhwIRUrVmTbtm34+PhQp04dQ8cTJkhaHsVTZcSIESQmJrJmzRpcXV0JCwvDzMyM3r1788wzz0gXj8fs22+/5d1336Vv377abp+HDx9m3bp1fPnll7z99tsGTliy0aNHY2Fhwfz583W2jx8/nszMTL755hsDJStZhw4dALRdhu+dqMLS0hI/Pz/Gjx9v1NO5FzddfmJiIhUrVjT6C7iwsLAitysUCqytrfHx8dGOCRP6t3///hKfv9tF0RiZcva74uLiuHDhAgABAQGFPsfGbODAgVy7do0FCxbQvn17Nm7cSGxsrHbpph49ehg6YrH2799Pt27daN26Nf/88w/h4eH4+/szZ84cjh8/zrp16wwdUZggqTyKp0pKSgp9+/bl+PHj3LlzB29vb2JiYmjZsiVbt24ttG6f0K/KlSszadIk3nnnHZ3t33zzDbNmzeLmzZsGSlY2o0eP5tdff6VKlSraqc+PHDlCVFQUgwcP1ulOdn8F0xgMHTqUhQsXGl3LVlmYepdbpVJZ4iyZFhYW9O/fnx9++AFra+snmOzh/fHHH6SkpDB48GBDRxFGKjU1lbfffptVq1Zpb/CYmZnRv39/vvnmG5ycnAycsHReXl788ccfNGvWDEdHR44fP07NmjX5888/+fzzzzlw4IChIxarZcuW9OvXj7Fjx+p0iT969Ch9+vThxo0bho4oTJBUHsVT6cCBA4SFhZGWlkbjxo1NostkeWBvb09ISAjVq1fX2X7p0iUaNWpEWlqagZKVzd0WvNIoFAr27NnzmNM8He52uV24cCGvv/56kV1uzczMCA4ONlTEMvnjjz+YOHEiEyZMoFmzZgAcPXqUefPmMWXKFPLy8pg0aRL9+/dn7ty5Bk5bNrVq1eLSpUtG3+orDKd///6cOnWKr776SmeSsXfffZeGDRuyatUqAycsnaOjI2FhYfj5+eHr68vKlStp3bo1kZGR1KlTh4yMDENHLJa9vT2nT5+matWqOpXHq1evUqtWLZnnQTwUGfMonkpt2rShTZs2ho7x1Hn++efZuHEjEyZM0Nn+xx9/0LNnTwOlKru9e/caOsIjSU9PZ86cOezevZu4uLhCy6EY48Qnp06dAvLHd50+fbpQl9sGDRowfvx4Q8Urs5kzZ7Jw4UK6dOmi3VavXj0qV67MJ598wtGjR7Gzs2PcuHEmU3k8f/68oSM8stq1a3Px4kWTrACbQvbNmzezY8cOne/bLl268NNPP9G1a1cDJiu7gIAALly4gJ+fHw0aNOCHH37Az8+P77//Hi8vL0PHK5GzszPR0dGFJr06deqUrGstHppUHsVT59ixY+zdu7fIi2dj7Gpo6hYtWqT9d2BgIDNnzmTfvn06Yx6Dg4MZN26coSI+NUaMGMH+/fv5v//7P5NZbPxuhd2Uu9wCnD59Gl9f30LbfX19OX36NAANGzYkOjr6SUd7qs2aNavISdRMwezZs0lJSTF0jBJVqFChyK6pTk5OuLi4GCDRg3v33Xe1n8spU6bQtWtXVqxYgaWlJUuXLjVsuFK88sorTJw4kbVr16JQKFCr1QQHBzN+/Hjpbi4emnRbFU+VWbNm8fHHHxMQEICHh4fOxbN0NXw8Sprm/16mMuW/KXN2dmbLli20bt3a0FGeOo0aNaJBgwb8+OOP2tbT3NxcXn/9dUJDQzl16hTBwcEMGjTI6GY33b59O/b29trWo2+++YaffvqJwMBAvvnmG5OpBIgn78cff2Tt2rUsX74cT09PAGJiYnjttdfo06cPb775poETPriMjAzOnz+Pj48Pbm5uho5TopycHN5++22WLl2KSqXC3NwclUrFgAEDWLp0KWZmZoaOKEyQVB7FU8XDw4PPPvuMIUOGGDqKEE9c1apV2bp1K7Vr1zZ0lAdmil1u73Xw4EGef/55lEqldl2406dPo1Kp2Lx5My1atGD58uXExMQU6tZtaPXq1eOzzz6je/funD59mqZNmzJ27Fj27t1LrVq1TGI5hszMTDQajXbM7LVr19i4cSOBgYE899xzBk5XfjVq1IjLly+TnZ2tXU4nKioKKyurQrM7nzx50hARS5Sbm0utWrXYvHmzSZ4374qKiuLMmTOkpaXRqFEjo55ZWxg/6bYqnipKpVJaXUyAo6MjISEhRrVQenkwffp0Jk+ezLJly3QmnjEFptjl9l6tWrUiMjKSFStWcPHiRQD69evHgAEDcHBwAOD//u//DBmxWJGRkQQGBgKwfv16evbsyaxZszh58iTdu3c3cLqyeeGFF+jTpw9vvfUWycnJNG/eHAsLCxISEpg/fz4jR440dMRiNWrUqMjj/e4yL9WrV2fIkCFlntDrSerdu7ehIzwSCwuLcjGpjI+Pj7byLsSjksqjeKq8//77fPPNN7Keo5GTDhGPx7x584iIiMDDwwM/Pz+dpUXAOO/837Vt2zaT73Lr4ODAW2+9ZegYD8zS0lI7o+Tff/+tHSvl6upqMuMFT548yZdffgnAunXr8PDw4NSpU6xfv57JkycbdeWxa9eufPfdd9SrV087U++xY8cICwtjyJAhnDt3js6dO7NhwwZeeOEFA6fVdf36dQYOHGiUFduyevvtt/nss89YvHgx5uamddms0WhYt25dsfM8bNiwwUDJhCkzrU+BEI9o/Pjx9OjRg2rVqhEYGFjo4llOpKI8M+VWABcXF1xdXQ0d45FcunSp2Iu4yZMnGyhV6dq0acPYsWNp3bo1R48eZfXq1QBcvHiRypUrG+LsEW0AAC4nSURBVDhd2WRkZGhbeHfu3EmfPn1QKpW0aNGCa9euGThdyRISEhg3bhyffPKJzvYZM2Zw7do1du7cyZQpU5g+fbrRVR7j4+Pp1q0b7u7uvPrqqwwcOJAGDRoYOtYDOXbsGLt372bnzp3Uq1ev0HrQxnzd8N577/HDDz/QoUOHQvM8CPGwZMyjeKq88847LF68uNgTqSmM3Xka3LselRAAv/32G3/88YdJdrkF+Omnnxg5ciRubm54enoWmqzLmFt9o6KiGDVqFNevX2fMmDEMHz4cyO/JoVKpdGZUNlb169dnxIgRvPjii9StW5ft27fTsmVLTpw4QY8ePYiJiTF0xGI5OTlx4sSJQuvjXr58mSZNmpCSksL58+dp2rQpd+7cMVDK4t2+fZu1a9eycuVK/v33X2rVqsXAgQMZMGAAfn5+ho5XqqFDh5b4vDFfN7i6uvLbb7+ZTPdyYRqk8iieKg4ODqxatYoePXoYOooogVQexf0aNWpEREQEGo3G5LrcQv6SHKNGjWLixImGjvJUWrduHQMGDEClUtGpUyd27twJ5C938c8//7Bt2zYDJyyeh4cHX3zxRaGlFX799VcmTJhAbGws586do127dsTHxxsoZdncuHGD33//nV9++YVLly6Rl5dn6Eh6ExwcTFBQEFZWVoaOolW1alW2bdtGrVq1DB1FlCPSbVU8VVxdXalWrZqhY4hSSNeax0OpVJb43hrzYuOm3OUW8ltf+vXrZ+gYDy0iIoIlS5YQERHBwoULqVixItu2bcPHx4c6deoYOl6p+vbtS5s2bYiOjtbpNtmpUydefPFFAyYr3ejRo3nrrbc4ceIETZs2BfK7Ui5evJj//e9/AOzYsYOGDRsaMGXpcnNzOX78OEeOHOHq1at4eHgYOpJedevWzegmeps6dSrTpk3jl19+wcbGxtBxRDkhLY/iqbJkyRK2b9/OkiVLTLLr29NCWh4fjz/++EPn59zcXE6dOsWyZcuYNm2atjui0L/hw4fTtGlTk5wwZ//+/XTr1o3WrVvzzz//EB4ejr+/P3PmzOH48eOsW7fO0BHLvRUrVvD1119z4cIFAAICAhg9ejQDBgwA8pciuTv7qrHZu3cvK1euZP369ajVavr06cPAgQPp2LFjubpRaIzfW5mZmbz44osEBwebZI8NYZyk8iieKqbe9a28yMnJITIykmrVqhU5e92BAwdo2rSpUXX/Kc9WrlzJ6tWrC1Uuhf7Mnj2b+fPn06NHD+rVq1fo3DNmzBgDJStdy5Yt6devH2PHjtW5QD569Ch9+vThxo0bho5YpD59+pS5rDFPemLKKlWqRFJSEl27dmXgwIH06tWr3J7XjbHy+PLLL7N371769u1b5DwPU6ZMMVAyYcqk26p4qph61zdTl5GRwejRo1m2bBmQP1ujv78/o0ePplKlSkyaNAnIn91RPDktWrTgjTfeMHSMEplyl1uAH3/8EXt7e/bv38/+/ft1nlMoFEZdeTx9+jQrV64stL1ixYokJCQYIFHZODk5GTqCXuXk5BQ5U68xr983depU+vXrh7Ozs6GjPJW2bNnCjh075DtV6JVUHsVTRe6yGdaHH35IaGgo+/bto2vXrtrtnTt3ZurUqdrKo3hyMjMzWbRoEZUqVTJ0lBJt3LhR5+f7u9wau8jISENHeGjOzs5ER0dTtWpVne2nTp0y6uPm7iyYGo2G69ev4+7ubpLjvi5dusSwYcM4ePCgznaNRoNCoTDqGyevv/66oSM81apUqYKjo6OhY4hyRiqPQognZtOmTaxevZoWLVrotCLVqVOHiIgIAyZ7Ori4uOi87xqNhjt37mBra8tvv/1mwGSlK2r9ur59+1KnTh1Wr14t4zUfo1deeYWJEyeydu1aFAoFarWa4OBgxo8fX2gGUGOk0WioXr06Z8+epUaNGoaO88CGDBmCubk5mzdvxsvLq1yNEyxPjPH/Zd68eXzwwQd8//33JrEsijANUnkUTxWVSsWXX37JmjVriIqKIicnR+f5pKQkAyV7OsTHx1OxYsVC29PT043yi7e8WbBggc7PSqUSd3d3mjdvjouLi2FCPSJj7nI7duxYpk+fjp2dHWPHji2x7Pz5859Qqgc3a9Ys3n77bapUqYJKpSIwMBCVSsWAAQP4+OOPDR2vVEqlkho1apCYmGiSlceQkBBOnDghyy0YwN1W64oVK5Y6GZExTiEyaNAgMjIyqFatGra2toXGWss1j3gYUnkUT5Vp06axePFixo0bx8cff8xHH33E1atX2bRpE5MnTzZ0vHIvKCiILVu2MHr0aKDgTu3ixYtp2bKlIaM9FV577TVDR9ArY+9ye+rUKXJzc7X/NlWWlpb89NNPTJ48mdOnT5OWlkajRo1MqiI2Z84cJkyYwHfffUfdunUNHeeBBAYGGvXY0vLsQVqt79y584RSld39NwyF0AeZbVU8VapVq8aiRYvo0aMHDg4OhISEaLcdPny4yEkhhP4cOHCAbt26MWjQIJYuXcqbb77JuXPnOHjwIPv376dJkyaGjljuJScn8/PPPxMeHg7kdxkeNmyY0U8uUlqX2+eff96A6YSxc3FxISMjg7y8PCwtLQuNfTTmFpg9e/bw8ccfM2vWrCJn6pUxbY9XnTp1+Pnnn2nRooWhowhhFKTyKJ4qdnZ2hIeH4+Pjg5eXF1u2bKFx48ZcuXKFRo0akZKSYuiI5V5ERARz5swhNDSUtLQ0GjduzMSJE6lXr56ho5V7x48fp0uXLtjY2NCsWTMgf7HxzMxMdu7cSePGjQ2csHh3Z+i9y9S63A4bNoyFCxfi4OCgsz09PZ3Ro0fzyy+/GChZ6V566SWaNWvGxIkTdbZ//vnnHDt2jLVr1xooWdndf/zcz5hb5ZVKJVB4TJ0pTJhTHvz11198/vnnJtlqHRUVVeLzxjxTrzBeUnkUT5WAgAB+/fVXmjdvTps2bejZsyeTJk1i9erVjB49mri4OENHFOKxadu2LdWrV+enn37Srq+Zl5fHiBEjuHLlCv/884+BE5ZfZmZmREdHFxrzm5CQgKenJ3l5eQZKVjp3d3f27NlT6AbP6dOn6dy5M7GxsQZK9nS4f2mX+7Vr1+4JJXk6mXKrtakvcSSMk4x5FE+VF198kd27d9O8eXNGjx7NoEGD+Pnnn4mKiuL99983dLxyr2PHjrRr167Qkim3b9/mpZdeYs+ePQZK9nQ4fvy4TsURwNzcnA8++ICgoCADJisbU+xym5qaikaj0XazvXfSDZVKxdatW4ucRMqYpKWlYWlpWWi7hYUFqampBkj04Ey5BUYqh4ZlyuMG7x9rfXeJo/nz5zNz5kwDpRKmTloexVPt0KFDHDp0iBo1atCrVy9Dxyn3lEolFSpUoHXr1qxYsQI7OzsAYmNj8fb2lrugj5mHhwfLly/nueee09m+Y8cOBg8ebNQtSKba5ba0O/8KhYJp06bx0UcfPcFUD6ZZs2b07Nmz0KRiU6dO5a+//uLEiRMGSlZ25aEFJiMjo8hZwuvXr2+gRMJUbdmyhS+++IJ9+/YZOoowQVJ5FEI8MUqlklOnTvHmm2+Snp7OX3/9hZ+fn1Qen5AxY8awceNG5s6dS6tWrQAIDg5mwoQJvPTSS0Z9h91Uu9zu378fjUZDx44dWb9+Pa6urtrnLC0t8fX1xdvb24AJS/fXX3/Rp08fBgwYQMeOHQHYvXs3v//+O2vXrqV3796GDVgGoaGhOj/f3wLTp08fAyUrXXx8PEOHDmXbtm1FPi/nzccvIiKCJUuWEBERwcKFC6lYsSLbtm3Dx8eHOnXqGDreA7t8+TINGjQgPT3d0FGECZLKo3jqXLp0ib179xIXF4dardZ5TpbreLyUSiUxMTE4OTkxdOhQdu3axdq1a6ldu7ZUHp+AnJwcJkyYwPfff68dY2dhYcHIkSOZM2cOVlZWBk5YPBsbG06dOlVorbtz584RFBRERkaGgZKVzbVr16hSpYp28hNTs2XLFmbNmkVISAg2NjbUr1+fKVOmmHyXSlNogRk4cCDXrl1jwYIFtG/fno0bNxIbG8uMGTOYN28ePXr0MHTEcm3//v1069aN1q1b888//xAeHo6/vz9z5szh+PHjrFu3ztARi3V/t3KNRkN0dDRTp07l/PnzhISEGCaYMGlSeRRPlZ9++omRI0fi5uaGp6enTjcmhULByZMnDZiu/Lt/0pAZM2YwY8YMJk6cyIwZM6Ty+IRkZGQQEREBoF082tiZcpfbe0nXQ+NiCi0wXl5e/PHHHzRr1gxHR0eOHz9OzZo1+fPPP/n88885cOCAoSOWay1btqRfv36MHTsWBwcHQkND8ff35+jRo/Tp04cbN24YOmKxiuqurdFoqFKlCqtWrZL1lcVDkQlzxFNlxowZzJw5s9CU8+LJuP9e1ccff0zt2rWNepr88iQlJQWVSoWrq6vOzJlJSUmYm5sb9Xpx/fv3Z/jw4UV2uX311VcNnK500vXQsEpqgSlt8XdDS09P195wc3FxIT4+npo1a1KvXj254fkEnD59usg1oCtWrEhCQoIBEpXd3r17dX6+u8RR9erVdSZOE+JByJEjniq3b9+mX79+ho7x1IqMjMTNzU1n20svvURAQIBJTLph6l555RV69erFqFGjdLavWbOGP//8k61btxooWenmzp2LQqFg8ODBRXa5NXbvvfceycnJHDlypMiuh8bG1dWVixcv4ubmhouLS4mTzRjzUgV3OTs7l9gCY8wCAgK4cOECfn5+NGjQgB9++AE/Pz++//57vLy8DB2v3HN2diY6OpqqVavqbD916hSVKlUyUKqyMfVu5cI4SbdV8VQZPnw4TZs25a233jJ0FCGeOFdXV4KDg6ldu7bO9vPnz9O6dWsSExMNlKzsTLHLLZhe18Nly5bxyiuvYGVlxdKlS0usPJpCz4H710o0pRaY3377jby8PIYMGcKJEyfo2rUriYmJWFpasmzZMvr372/oiOXa+PHjOXLkCGvXrqVmzZqcPHmS2NhYBg8ezODBgwstPWVsZJ4HoW9SeRRPldmzZzN//nx69OhBvXr1sLCw0Hl+zJgxBkpWfvXp04elS5fi6OhY6oyGGzZseEKpnk52dnYcPny4yMXemzdvbtSTztzb5fZeptDlFsDR0ZGwsDD8/Pzw9fVl5cqVtG7dmsjISOrUqWPU7/3TpEePHixevNioW/QyMjI4f/48Pj4+hXpyCP3Lycnh7bffZunSpahUKszNzVGpVAwYMIClS5diZmZm6IjFknkexONg3LfbhNCzH3/8EXt7e/bv31/oTrRCoZDK42Pg5OSk/cIy5sXcnwbNmjXjxx9/5KuvvtLZ/v3339OkSRMDpSobU+5yC6bd9bBz584MGjSIPn36GH0l/VH9888/ZGZmGjoGY8eOLXPZ+fPnP8YkwtLSkp9++onJkydz+vRp0tLSaNSokdGPlQWZ50E8HtLyKIR4YjIzM1Gr1djZ2QFw9epVNm3aRO3atenSpYuB05V/wcHBdO7cmaZNm9KpUycgf72+Y8eOsXPnTtq2bWvghMUz9S63RXU9TEpKwtLSkqVLlxp118N3332XNWvWkJKSQo8ePRg0aBDdu3cv1HOjPLh3Nk1D6tChQ5nKKRQK9uzZ85jTiHupVCpOnz6Nr68vLi4uho5TIkdHR0JCQgx+PIvyRSqPQogn5rnnnqNPnz689dZbJCcnU6tWLSwsLEhISGD+/PmMHDnS0BHLvZCQEL744gud9fo+/PBDo7+Lbspdbotial0P1Wo1f//9NytXrmTjxo2YmZnRt29fBg4cWK4m5TCWyqMwHu+99x716tVj+PDhqFQq2rVrx8GDB7G1tWXz5s20b9/e0BGLJfM8iMdBKo/iqaJSqVi6dCm7d+8ucvC43MF9vNzc3Ni/fz916tRh8eLFfPXVV5w6dYr169czefJkwsPDDR1RAHPmzOGtt97C2dnZ0FG0OnToQN26dQt1uX377bcJCwvj33//NVCy0uXm5lKrVi02b95cqOXUFGVlZfHXX38xc+ZMTp8+Xa6WGZHKo7hf5cqV2bRpE0FBQWzatIlRo0axb98+li9fzp49ewgODjZ0xGLJPA/icZAxj+Kp8u6777J06VJ69OhB3bp1S5xBUOhfRkYGDg4OAOzcuZM+ffqgVCpp0aIF165dM3A6cdesWbN4+eWXjaryOGPGDDp37kxoaGiRXW6NmYWFBVlZWYaOoRcxMTGsWrWK3377jbCwMJo1a2boSEI8VgkJCXh6egKwdetWXn75ZWrWrMmwYcNYuHChgdOVTOZ5EI+DVB7FU2XVqlWsWbOG7t27GzrKU6l69eps2rSJF198kR07dvD+++8DEBcXV+4n4jAlxtghpXXr1hw6dIgvvviCNWvWaLvc/vzzz0bf5RbyW0g/++wzFi9ebPRLQ9wvNTWV9evXs3LlSvbt24e/vz8DBw5k9erVVKtWzdDxhHisPDw8OHfuHF5eXmzfvp3vvvsOyL8ZaswzrUL+2spC6JtpfYMJ8YgsLS2pXr26oWM8tSZPnsyAAQN4//336dSpEy1btgTyWyEbNWpk4HTC2DVs2JAVK1aUWMYYu9wCHDt2jN27d7Nz507q1aunnTTqLmNepsbDwwMXFxf69+/P7NmzCQoKMnSkx+Z///tfoeVgxNNt6NChvPzyy3h5eaFQKOjcuTMAR44coVatWgZOpx8ysY54EDLmUTxV5s2bx5UrV/j666+ly6qBxMTEEB0dTYMGDVAqlQAcPXoUR0fHcvNFbOpMedyXsV4EDR06tMTnlyxZ8oSSPLhdu3bRqVMn7efVFM2ePRsPDw+GDRums/2XX34hPj5eljIQJVq/fj1RUVH069ePypUrA7Bs2TJcXFx4/vnnDZzu0ZnyOV88eVJ5FE+VF198kb179+Lq6kqdOnUKDR435rv/QjwppnwhYcrZIX85laCgIKysrAwdRUdeXh779u0jIiKCAQMG4ODgwK1bt3B0dMTe3t7Q8Url5+fHypUradWqlc72I0eO8Morr0j3PlGsTz/9tMTnJ0+e/ISSPD6mft4UT5Z0WxVPFWdnZ1588UVDxxBCiCJ169bN6FpOr127RteuXYmKiiI7O5tnn30WBwcHPvvsM7Kzs/n+++8NHbFUMTExeHl5Fdru7u5OdHS0ARIJU7Fx40adn3Nzc4mMjMTc3Jxq1aqVi8qjEA9CKo/iqWLMXcOEMBZt27bFxsbG0DGeSsbYGejdd98lKCiI0NBQKlSooN3+4osv8vrrrxswWdlVqVKF4OBgqlatqrM9ODgYb29vA6USpuDUqVOFtqWmpjJkyBC5GS2eSlJ5FEKIp0RqamqR2xUKBVZWVlhaWgL509ELcde///7LwYMHtcfHXX5+fty8edNAqR7M66+/znvvvUdubi4dO3YE8pd6+eCDDxg3bpyB0wlT4+joyLRp0+jVqxf/93//Z+g4j0zmgBAP4v/bu/+wnO/9D+DPu9Ct6AeqUYoUjTVimNkOSyomxsS52KisMBNKC1NotHYO1emYtJlRF8dxNXLyK4sO59RQSFmlUIpT27QVnThyd3//6Os+bv125H1/7p6P63Jd3e/P/cdzl7T71fv1fr1ZPFKHYGJi0ugPRyMjIwwcOBArV67ExIkTBSQjenGMjY2b/ZBgaWkJT09PrFu3TtLDUej5qqurg0KhaLB+69Yt1b2tmi4wMBAVFRX46KOP8PDhQwCAXC5HUFAQVq9eLTgdSVFVVRWqqqpEx3guNLHjgTQXi0fqEKKiohpdr6ysxIULFzBlyhQkJCTA3d39xQYjeoF27dqFTz/9FJ6enqrL3c+fP4/du3dj7dq1+OWXX7B582bo6elhzZo1gtM+G7bcPn8uLi6IiorCV199BaB+l6K6uhrr1q2TzJ25MpkMX3zxBYKDg5GXl4euXbvCzs5O4wYTkeaJjo5We61UKlFWVob4+HhMmjRJUKpno1AokJOTA2tra5iYmKjWjx07BgsLC4HJSEo4bZUIQEREBBISEpCeni46ClG7mTBhAhYuXIhZs2apre/fvx+xsbE4efIk4uPjsWnTJuTn5wtK2bjWttxKnSZeNXLr1i24urpCqVSisLAQr732GgoLC9GrVy+cOXMGZmZmoiO22c2bN/Hvf/8b9vb23GWnZj19TlZHRwempqZwcnLC6tWrNXr3ffny5XBwcMCCBQugUCgwbtw4pKenQ19fH4cPH8b48eNFRyQJYvFIBKCgoACvv/46fv31V9FRiNpN165dkZ2dDTs7O7X1wsJCDB06FDU1NSgqKsKQIUNQU1MjKGXjdHR0JNtyq1QqUVpaCjMzM8jl8mbfq6kj8x89eoR9+/YhOzsb1dXVGD58OObOnavxu7w7d+5EZWUl/P39VWu+vr745ptvAACDBg1CcnIy+vbtKyoiUbuxtLREYmIiXnvtNSQmJmLJkiVITU1FfHw8Tp06hbS0NNERSYI06/+wRIL85z//0ZqdC6Km9O3bV/Wh+UnffPON6sNzRUWFWjuTpti1axf69OmDNWvWIDExEYmJiVizZg0sLCwQExMDX19fREdHIzw8XHTUBpRKJWxtbVFaWtrie+/du6dxhSMAdOrUCe+//z7+8Ic/YNu2bfjwww81vnAEgK+++krt+/n48eP49ttvERcXh4yMDBgbG2PDhg0CExK1nzt37uCll14CUD8IzcPDAwMHDoS3tzdycnIEpyOp4plHItR/eB42bJjoGETtavPmzfDw8MCxY8cwcuRIAEBmZiby8/ORkJAAAMjIyMDs2bNFxmzU7t27sWXLFrWWW3d3dzg4OKhabq2srLBp0yaNO6+po6MDOzs7VFRUNNj11VR/+9vfWv3eqVOntmOS/83jNtvHDh06hGnTpmHu3LkAgLCwMHh5eYmKR9SuzM3NkZubi969e+P48eOIiYkBANTU1EBXV1dwOpIqFo/UITzZsvSkqqoqXLx4EQUFBThz5swLTkX0Yk2dOhX5+fmIjY1FQUEBgPpL6RMTE9GvXz8AwOLFiwUmbFp6enqjl9E7Ojrihx9+AAC8+eabKCkpedHRWiU8PByBgYGIiYnBK6+8IjpOi95991211zKZrMFExsdtxI1NYtUU9+/fh6Ghoep1eno6FixYoHptY2OD8vJyEdGI2p2XlxdmzZqF3r17QyaTwdnZGQBw7tw52NvbC05HUsXikTqExi75BeqHU0ycOBEHDhxocCieSBv1799fI1s7W/K45fbp7FJouQWAefPmoaamBkOHDkWXLl0atHxq2nnruro61dcpKSkICgpCWFgYxowZAwD44YcfsHbtWoSFhYmK2CrW1ta4cOECrK2tcefOHfz4448YO3as6nl5eTmMjIwEJiRqP+vXr8crr7yC0tJSeHh4qKYL6+rqYtWqVYLTkVSxeKQOITU1VXQEIo1QWVmJ8+fP4+eff1YrEID6AkdTSbnlFmj6uiApWL58ObZv344333xTtebq6gp9fX34+voiLy9PYLrmzZ8/H0uWLMGPP/6IU6dOwd7eHiNGjFA9T09Pl8ROMNGzmjlzJgDgwYMHqrX58+eLikNagNNWiYg6iKSkJMydOxfV1dUwNDRUm14qk8k0bvfraUVFRWott4MGDcLChQtVLbfUPrp27YqMjIwGRVZ2djZGjx6N+/fvC0rWsrq6Oqxfvx5JSUl46aWXEBERgZdffln13MPDA25ubmqtrETaQqFQICwsDNu3b8dPP/2EgoIC2NjYIDg4GP369eP3PT0TFo9ERB3EwIEDMXnyZISFhUFfX190nA7n+vXr+Pbbb3H9+nX86U9/gpmZGY4dOwYrKysMGTJEdLwm/e53v4NcLkd8fDzMzc0BAD/99BPmzZuHBw8e4PTp04ITElFjQkNDsXv3boSGhsLHxwdXrlyBjY0N/vrXvyIqKkp1XpyoLVg8EhF1EAYGBsjJydHIqyBaQ6ottwBw+vRpTJo0CWPHjsWZM2eQl5cHGxsbhIeHIzMzU9V6q4muXbuG6dOno6CgQHW+tLS0FHZ2dkhMTIStra3ghETUGFtbW8TGxmLChAlqd8jm5+djzJgx+O2330RHJAnimUciog7C1dUVmZmZkiweW2q51fTicdWqVdi4cSP8/f3RvXt31bqTkxO2bt0qMFnLbG1tkZ2dje+//x75+fkAgJdffhnOzs5qfw+axsTEpNX5NL1lm+hZ3L59u9Ff7tTV1aG2tlZAItIGLB6JiDqId955B4GBgcjNzYWDgwM6d+6s9lyT7+sLCAiAt7e3ZFtuc3JysHfv3gbrZmZmuHPnjoBEbSOTyeDi4gIXF5cm3+Pg4ICjR4+qdidFe3JIUUVFBTZu3AhXV1e1ibHJyckIDg4WlJCofQ0ePBj/+Mc/YG1trbaekJAAR0dHQalI6lg8EhF1ED4+PgDqz8E8TSaTafR9fbdv34afn58kC0cAMDY2RllZWYMrgS5dugQLCwtBqZ6v4uJijdrNeHKi5HvvvYfQ0FB8/PHHqjU/Pz9s3boVKSkpWLFihYiIRO0qJCQE8+fPx+3bt1FXV4cDBw7g6tWriIuLw+HDh0XHI4nSER2AiIhejLq6uib/aHLhCPy35Vaqfv/73yMoKAjl5eWQyWSoq6tDWloaVq5cqfEtt9ogOTkZbm5uDdbd3NyQkpIiIBFR+5s2bRqSkpKQkpICAwMDhISEIC8vD0lJSZg4caLoeCRR3HkkIiKNJ+WWWwAICwvDkiVL0LdvXygUCgwePBgKhQJz5szB2rVrRcfTej179sShQ4cQEBCgtn7o0CH07NlTUCqi9vfWW2/h+++/Fx2DtAinrRIRabHo6Gj4+vpCLpcjOjq62ff6+fm9oFRtp6PTdKOMprfcPqm0tBQ5OTmorq6Go6Mj7OzsREd6bp6c5qhpdu3ahQ8//BCTJk3C6NGjAQDnzp3D8ePH8fXXX8PT01NsQCIiiWDxSESkxfr374/MzEz07NmzwXm7J8lkMty4ceMFJuvYFAoFcnJyYG1tDRMTE9FxngtNLh6B+mIxOjoaeXl5AOonxvr5+amKSSJt0KNHDxQUFKBXr14tThzmlGF6FmxbJSLSYkVFRY1+TS/W8uXL4eDggAULFkChUGDcuHFIT0+Hvr4+Dh8+jPHjx4uOqPVGjx6NPXv2iI5B1K4iIyNV1wE9OXGY6Hlh8UhE1EGEhoZi5cqVDSaW3r9/H3/84x8REhIiKFnjtKXlFqgfjf/+++8DqL+z8saNG8jPz0d8fDw+/fRTpKWlCU74v4uNjYW5ubnoGC168OABHj58qLZmaGgoKA3R8/V4yvCjR48gk8ng6uoqiX+XJB1sWyUi6iB0dXVRVlYGMzMztfWKigqYmZlp3LlBbWq5lcvluHbtGiwtLeHr6wt9fX1ERUWhqKgIQ4cOxd27d0VHbNbJkycRGRmp1vK5fPlyODs7C07WOjU1Nfjkk0+wf/9+VFRUNHiuad/7RM+Dvr4+8vLyGtzzSPS/4FUdREQdhFKpbPT8y+XLl9GjRw8BiZpXVFSkmoRZVFTU5B9NLxwBwNzcHLm5uVAoFDh+/LhqTH5NTQ10dXUFp2vetm3b4Obmhu7du2PZsmVYtmwZDA0NMXnyZHz55Zei47VKYGAgTp06hZiYGOjp6WHHjh3YsGED+vTpg7i4ONHxiNrFqFGjcOnSJdExSMuwbZWISMs9Hpogk8kwcOBAtQJSoVCguroaixYtEpiwZVJruX2al5cXZs2ahd69e0Mmk6l27M6dOwd7e3vB6ZoXFhaGyMhIfPzxx6o1Pz8/jB07VnUFiaZLSkpCXFwcxo8fDy8vL7z11luwtbWFtbU19uzZg7lz54qOSPTcffTRRwgICMCtW7cwYsQIGBgYqD1/9dVXBSUjKWPbKhGRltu9ezeUSiW8vb0RFRUFIyMj1bMuXbqgX79+GDNmjMCELZNay21jvvvuO5SUlMDDwwOWlpYA6v9uTExMNPqeym7duiErKwu2trZq64WFhXB0dER1dbWgZK3XrVs35ObmwsrKCpaWljhw4ABGjRqFoqIiODg4SOK/gaitGrviSCaTqbpQpPBzkzQPdx6JiLTc4wEK/fv3xxtvvIHOnTsLTtR2Umu5fVpoaKjq6507d6o9u3nzpkYXj1OnTsXBgwcRGBiotn7o0CFMmTJFUKq2sbGxQVFREaysrGBvb4/9+/dj1KhRSEpKgrGxseh4RO2CE7apPXDnkYioA5LKxMnHLbdVVVUwNDRssuVW08/eOTo6qr2ura1FUVEROnXqhAEDBuDixYuCkrVs48aN2Lx5M8aOHavaoT579izS0tIQEBCg9n2jqVNvIyMjoaurCz8/P6SkpMDd3R1KpRK1tbWIiIjAsmXLREckIpIEFo9ERB2EFCdOakPLbVPu3r0LT09PTJ8+HR988IHoOE1qbtLtk6Qw9fax4uJiXLx4Eba2tjz3RVrt+vXriIqKUk1KHjx4MJYtW4YBAwYITkZSxeKRiKiDWLJkCVJTU/HZZ5/hgw8+wJdffonbt28jNjYW4eHhGj005PTp05JtuW1OTk4O3N3dUVxcLDoKEWmZ5ORkTJ06FcOGDcPYsWMBAGlpabh8+TKSkpJUU5+J2oLFIxFRB2FlZaWaOGloaKjaeYmPj8df/vIXHD16VHTEVpFKy21r/POf/4S7uzt+++030VG0ntTvqiRqK0dHR7i6uiI8PFxtfdWqVThx4oRGt8uT5mLxSETUQUh54qQUW26fFB0drfZaqVSirKwM8fHxGDduHPbu3SsoWcu8vb2bff70ACBNtG3bNixbtgwzZ85UO7eZkJCAyMhISVw3QtRWcrkcOTk5sLOzU1svKCjAq6++igcPHghKRlLGaatERB2ElCdOBgYGIjU1FTExMY223Gq6yMhItdc6OjowNTXF/PnzsXr1akGpWufpXdHa2lpcuXIFlZWVcHJyEpSqbbThrkqitjI1NUVWVlaD4jErK6vBtUdErcXikYiog/Dy8sLly5cxbtw4rFq1Cu7u7ti6datq4qQmk/ol71IemX/w4MEGa3V1dVi8eLFkhm5UVlbCzc2twbqLiwuCgoIEJCJqfz4+PvD19cWNGzfwxhtvAKg/8/jFF1/A399fcDqSKratEhF1ALW1tXBzc8P27dtVv4W+efMmLly4IImJk1JuudVWV69exfjx41FWViY6SovmzJkDR0fHBndVbt68GZmZmdi3b5+gZETtR6lUIioqClu2bMG//vUvAECfPn0QGBgIPz+/Ru/OJWoJdx6JiDqAzp07Izs7W23N2toa1tbWghK1jZRbbrXV9evX8ejRI9ExWmXw4MHYtGkT/v73vzd6V+WTZ1I19a5KoraSyWRYsWIFVqxYgXv37gEAunfvLjgVSR13HomIOogVK1ZAT09PEmcEn8ZL3sV5ur3t8bCfI0eOYP78+di6daugZK2njXdVEhGJwOKRiKiDWLp0KeLi4mBnZ4cRI0bAwMBA7bmmnnuUesut1L399ttqrx8P+3FycoK3tzc6dWITE5EmcnR0bLQ1VSaTQS6Xw9bWFp6eng3+jRM1hz/xiYg6iCtXrmD48OEA6ke1P0mTz75IveVW6o4cOQKlUqn6ZUNxcTESExNhbW2t0YWjv78/PvvsMxgYGDQ7HEQmk2HLli0vMBnRi+Hm5oaYmBg4ODhg1KhRAICMjAxkZ2fD09MTubm5cHZ2xoEDBzBt2jTBaUkquPNIREQaT8ott1Ln4uKCGTNmYNGiRaisrIS9vT06d+6MO3fuICIiAosXLxYdsVFvv/02Dh48CGNj42Z3VmQyGU6dOvUCkxG9GD4+PrCyskJwcLDa+saNG3Hz5k18/fXXWLduHY4cOYLMzExBKUlqWDwSEZHGk2rLrTbo1asXTp8+jSFDhmDHjh3485//jEuXLuG7775DSEgI8vLyREckokYYGRmp2vufdO3aNYwYMQJVVVXIz8/HyJEjVQN1iFqiuf0mRERE/0+qLbfaoKamRjWh8cSJE5gxYwZ0dHTw+uuv4+bNm4LTEVFT5HI50tPTGxSP6enpkMvlAOrvbH38NVFrsHgkIiKNl5qaKjpCh2Vra4vExERMnz4dycnJWLFiBQDg559/hqGhoeB0RNSUpUuXYtGiRbhw4QJGjhwJoP7M444dO7BmzRoAQHJyMoYNGyYwJUkN21aJiIioSQkJCZgzZw4UCgUmTJiAEydOAAA+//xznDlzBseOHROckIiasmfPHmzduhVXr14FAAwaNAhLly7FnDlzAAD3799XTV8lag0Wj0RERNSs8vJylJWVYejQodDR0QEAnD9/HoaGhrC3txecjoiIXhQWj0REREREWqiyshIJCQm4ceMGVq5ciR49euDixYswNzeHhYWF6HgkQSweiYiIiIi0THZ2NpydnWFkZITi4mJcvXoVNjY2WLt2LUpKShAXFyc6IkmQjugARERERET0fPn7+8PT0xOFhYVqZxonT56MM2fOCExGUsbikYiIiIhIy2RkZGDhwoUN1i0sLFBeXi4gEWkDFo9ERERERFpGT08Pd+/ebbBeUFAAU1NTAYlIG7B4JCIiIiLSMlOnTkVoaChqa2sBADKZDCUlJQgKCsJ7770nOB1JFQfmEBERERFpmaqqKsycOROZmZm4d+8e+vTpg/LycowZMwZHjx6FgYGB6IgkQSweiYiIiIi0VFpaGi5fvozq6moMHz4czs7OoiORhLF4JCIiIiLSMnFxcZg9ezb09PTU1h8+fIh9+/Zh3rx5gpKRlLF4JCIiIiLSMrq6uigrK4OZmZnaekVFBczMzKBQKAQlIynjwBwiIiIiIi2jVCohk8karN+6dQtGRkYCEpE26CQ6ABERERERPR+Ojo6QyWSQyWSYMGECOnX678d9hUKBoqIiuLm5CUxIUsbikYiIiIhIS7z77rsAgKysLLi6uqJbt26qZ126dEG/fv14VQc9M555JCIiIiLSMrt378bs2bMhl8tFRyEtwuKRiIiIiIiIWsS2VSIiIiIiLaNQKBAZGYn9+/ejpKQEDx8+VHv+66+/CkpGUsZpq0REREREWmbDhg2IiIjA7NmzUVVVBX9/f8yYMQM6OjpYv3696HgkUWxbJSIiIiLSMgMGDEB0dDTeeecddO/eHVlZWaq1s2fPYu/evaIjkgRx55GIiIiISMuUl5fDwcEBANCtWzdUVVUBAKZMmYIjR46IjEYSxuKRiIiIiEjLWFpaoqysDED9LuSJEycAABkZGdDT0xMZjSSMxSMRERERkZaZPn06Tp48CQBYunQpgoODYWdnh3nz5sHb21twOpIqnnkkIiIiItJyZ8+eRXp6Ouzs7ODu7i46DkkUi0ciIiIiIi3z+eefw9zcvMEu486dO/HLL78gKChIUDKSMratEhERERFpmdjYWNjb2zdYHzJkCLZv3y4gEWkDFo9ERERERFqmvLwcvXv3brBuamqqGqRD1FYsHomIiIiItEzfvn2RlpbWYD0tLQ19+vQRkIi0QSfRAYiIiIiI6Pny8fHB8uXLUVtbCycnJwDAyZMn8cknnyAgIEBwOpIqDswhIiIiItIySqUSq1atQnR0NB4+fAgAkMvlCAoKQkhIiOB0JFUsHomIiIiItFR1dTXy8vLQtWtX2NnZQU9PT3QkkjAWj0RERERERNQiDswhIiIiIiKiFrF4JCIiIiIiohaxeCQiIiIiIqIWsXgkIiIiIiKiFrF4JCIiIiIiohaxeCQiIiIiIqIWsXgkIiIiIiKiFrF4JCIiIiIiohb9H84VCZKfxF/YAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "label_encoder = LabelEncoder()\n",
    "\n",
    "# Convert \"categories\" column to numerical values\n",
    "df['categories_numerical'] = label_encoder.fit_transform(df['prime_genre'])\n",
    "\n",
    "# Filter out non-numerical columns\n",
    "df_numeric = df.select_dtypes(include=[float, int])\n",
    "\n",
    "correlation_matrix = df_numeric.corr()\n",
    "\n",
    "# Plot the correlation matrix using seaborn\n",
    "plt.figure(figsize=(10, 8))\n",
    "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f')\n",
    "plt.title(\"Correlation Matrix\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7b6d252",
   "metadata": {
    "papermill": {
     "duration": 0.010359,
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   "source": [
    "# Results\n",
    "Unfortunately, there aren't any columns that have a *strong* correlation with `user_rating`. (Well, besides `ipadSc_urls.num` which only scored `0.27`, and *number of supported languages* which only scored `0.17`)\n",
    "<br>\n",
    "Now let's try and make an model (We'll remove the **outliers** later, to see if it has any effect and if my statement before was correct)"
   ]
  },
  {
   "cell_type": "code",
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   "source": [
    "def make_model(dataframe, Model):\n",
    "    X = dataframe.iloc[:, :-1].values\n",
    "    y = dataframe.iloc[:, -1].values\n",
    "\n",
    "    # Define model\n",
    "    model = Model\n",
    "    # Define model evaluation method\n",
    "    cv = RepeatedKFold(n_splits=10, n_repeats=3, random_state=1)\n",
    "    # Evaluate model\n",
    "    scores = cross_val_score(model, X, y, scoring='neg_mean_absolute_error', cv=cv, n_jobs=-1)\n",
    "\n",
    "    # Force scores to be positive\n",
    "    scores = np.absolute(scores)\n",
    "    print('Mean MAE: %.3f (%.3f)' % (np.mean(scores), np.std(scores)))\n",
    "\n",
    "def evaluate_models(dataframe):\n",
    "    print(\"Lasso Model results:\")\n",
    "    make_model(dataframe, Lasso(alpha=0.1))\n",
    "\n",
    "    print(\"----------------------------------------\")\n",
    "\n",
    "    print(\"ElasticNet results:\")\n",
    "    make_model(dataframe, ElasticNet(random_state=0))\n",
    "    \n",
    "    print(\"----------------------------------------\")\n",
    "\n",
    "    print(\"Ensemble results:\")\n",
    "    make_model(dataframe, RandomForestRegressor(max_depth=2, random_state=42))\n",
    "\n",
    "# evaluate_models(df_numeric)"
   ]
  },
  {
   "cell_type": "markdown",
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     "start_time": "2024-06-11T23:21:03.312665",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Model Result\n",
    "> Lasso Model results: <br>\n",
    "> Mean MAE: 3.287 (0.123) <br>\n",
    "> ---------------------------------------- <br>\n",
    "> ElasticNet results: <br>\n",
    "> Mean MAE: 3.329 (0.128) <br>\n",
    "\n",
    "\n",
    "First try proved to be an absolute fiasco! Now let's try to get a better score\n",
    "<br>\n",
    "(By the way, here's the score for `Lasso` with `alpha=1`):\n",
    "> Mean MAE: 3.380 (0.130)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "78018e00",
   "metadata": {
    "execution": {
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     "iopub.status.busy": "2024-06-11T23:21:03.346042Z",
     "iopub.status.idle": "2024-06-11T23:21:13.620848Z",
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     "status": "completed"
    },
    "tags": []
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lasso Model results:\n",
      "Mean MAE: 3.253 (0.128)\n",
      "----------------------------------------\n",
      "ElasticNet results:\n",
      "Mean MAE: 3.313 (0.125)\n",
      "----------------------------------------\n",
      "Ensemble results:\n",
      "Mean MAE: 3.200 (0.126)\n"
     ]
    }
   ],
   "source": [
    "df = df_numeric.drop(df_numeric[df_numeric[\"rating_count_tot\"] == 0].index)\n",
    "\n",
    "df.describe()\n",
    "evaluate_models(df)"
   ]
  }
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