HousePrices.ipynb

{
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  {
   "cell_type": "markdown",
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   "source": [
    "<h1>House prices prediction</h1>\n",
    "\n",
    "<img src=\"https://olegleyz.github.io/images/header.jpg\" alt=\"Header\" width=\"800\"/>\n",
    "\n",
    "This kernel is going to describe the method by which I predicted the selling prices of houses. <br>\n",
    "This method will include the following steps:\n",
    "<ul>\n",
    "<li>Observation</li>\n",
    "<li>Dealing with missing values</li>\n",
    "<li>Fixing skewness</li>\n",
    "<li>Adding new features</li>\n",
    "<li>Modeling</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Importing necessary libraries and reading datasets</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>Street</th>\n",
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       "      <th>Utilities</th>\n",
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       "      <th>PoolQC</th>\n",
       "      <th>Fence</th>\n",
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       "      <th>MoSold</th>\n",
       "      <th>YrSold</th>\n",
       "      <th>SaleType</th>\n",
       "      <th>SaleCondition</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
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       "      <td>8450</td>\n",
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       "      <td>2</td>\n",
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       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>223500</td>\n",
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       "      <td>Pave</td>\n",
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      ],
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       "        Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0        1          60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "1        2          20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "2        3          60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "3        4          70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "4        5          60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "...    ...         ...      ...          ...      ...    ...   ...      ...   \n",
       "1455  1456          60       RL         62.0     7917   Pave   NaN      Reg   \n",
       "1456  1457          20       RL         85.0    13175   Pave   NaN      Reg   \n",
       "1457  1458          70       RL         66.0     9042   Pave   NaN      Reg   \n",
       "1458  1459          20       RL         68.0     9717   Pave   NaN      Reg   \n",
       "1459  1460          20       RL         75.0     9937   Pave   NaN      Reg   \n",
       "\n",
       "     LandContour Utilities  ... PoolArea PoolQC  Fence MiscFeature MiscVal  \\\n",
       "0            Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
       "1            Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
       "2            Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
       "3            Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
       "4            Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
       "...          ...       ...  ...      ...    ...    ...         ...     ...   \n",
       "1455         Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
       "1456         Lvl    AllPub  ...        0    NaN  MnPrv         NaN       0   \n",
       "1457         Lvl    AllPub  ...        0    NaN  GdPrv        Shed    2500   \n",
       "1458         Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
       "1459         Lvl    AllPub  ...        0    NaN    NaN         NaN       0   \n",
       "\n",
       "     MoSold YrSold  SaleType  SaleCondition  SalePrice  \n",
       "0         2   2008        WD         Normal     208500  \n",
       "1         5   2007        WD         Normal     181500  \n",
       "2         9   2008        WD         Normal     223500  \n",
       "3         2   2006        WD        Abnorml     140000  \n",
       "4        12   2008        WD         Normal     250000  \n",
       "...     ...    ...       ...            ...        ...  \n",
       "1455      8   2007        WD         Normal     175000  \n",
       "1456      2   2010        WD         Normal     210000  \n",
       "1457      5   2010        WD         Normal     266500  \n",
       "1458      4   2010        WD         Normal     142125  \n",
       "1459      6   2008        WD         Normal     147500  \n",
       "\n",
       "[1460 rows x 81 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "from scipy.stats import norm, skew\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(action=\"ignore\")\n",
    "\n",
    "\n",
    "\n",
    "file_train, file_test = 'train.csv', 'test.csv'\n",
    "target_name = 'SalePrice'\n",
    "dataset_train_raw = pd.read_csv('datasets/' + file_train)\n",
    "dataset_test = pd.read_csv('datasets/' + file_test)\n",
    "\n",
    "dataset_train_raw"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Test data should contain the same type of data of the training set to preprocess them in the same way. The easiest way to solve this problem is to concatenate train and test datasets, preprocess, and then divide them again. It would also be a good idea to drop out the features that definitely do not affect the price, in our case - 'Id'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "      <td>9</td>\n",
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       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
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       "      <th>3</th>\n",
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       "      <td>Corner</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>FR2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1454</th>\n",
       "      <td>160</td>\n",
       "      <td>RM</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1936</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1455</th>\n",
       "      <td>160</td>\n",
       "      <td>RM</td>\n",
       "      <td>21.0</td>\n",
       "      <td>1894</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
       "      <td>160.0</td>\n",
       "      <td>20000</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>85</td>\n",
       "      <td>RL</td>\n",
       "      <td>62.0</td>\n",
       "      <td>10441</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MnPrv</td>\n",
       "      <td>Shed</td>\n",
       "      <td>700</td>\n",
       "      <td>7</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>74.0</td>\n",
       "      <td>9627</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Reg</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>Inside</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2919 rows × 79 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0             60       RL         65.0     8450   Pave   NaN      Reg   \n",
       "1             20       RL         80.0     9600   Pave   NaN      Reg   \n",
       "2             60       RL         68.0    11250   Pave   NaN      IR1   \n",
       "3             70       RL         60.0     9550   Pave   NaN      IR1   \n",
       "4             60       RL         84.0    14260   Pave   NaN      IR1   \n",
       "...          ...      ...          ...      ...    ...   ...      ...   \n",
       "1454         160       RM         21.0     1936   Pave   NaN      Reg   \n",
       "1455         160       RM         21.0     1894   Pave   NaN      Reg   \n",
       "1456          20       RL        160.0    20000   Pave   NaN      Reg   \n",
       "1457          85       RL         62.0    10441   Pave   NaN      Reg   \n",
       "1458          60       RL         74.0     9627   Pave   NaN      Reg   \n",
       "\n",
       "     LandContour Utilities LotConfig  ... ScreenPorch PoolArea PoolQC  Fence  \\\n",
       "0            Lvl    AllPub    Inside  ...           0        0    NaN    NaN   \n",
       "1            Lvl    AllPub       FR2  ...           0        0    NaN    NaN   \n",
       "2            Lvl    AllPub    Inside  ...           0        0    NaN    NaN   \n",
       "3            Lvl    AllPub    Corner  ...           0        0    NaN    NaN   \n",
       "4            Lvl    AllPub       FR2  ...           0        0    NaN    NaN   \n",
       "...          ...       ...       ...  ...         ...      ...    ...    ...   \n",
       "1454         Lvl    AllPub    Inside  ...           0        0    NaN    NaN   \n",
       "1455         Lvl    AllPub    Inside  ...           0        0    NaN    NaN   \n",
       "1456         Lvl    AllPub    Inside  ...           0        0    NaN    NaN   \n",
       "1457         Lvl    AllPub    Inside  ...           0        0    NaN  MnPrv   \n",
       "1458         Lvl    AllPub    Inside  ...           0        0    NaN    NaN   \n",
       "\n",
       "     MiscFeature MiscVal  MoSold  YrSold  SaleType  SaleCondition  \n",
       "0            NaN       0       2    2008        WD         Normal  \n",
       "1            NaN       0       5    2007        WD         Normal  \n",
       "2            NaN       0       9    2008        WD         Normal  \n",
       "3            NaN       0       2    2006        WD        Abnorml  \n",
       "4            NaN       0      12    2008        WD         Normal  \n",
       "...          ...     ...     ...     ...       ...            ...  \n",
       "1454         NaN       0       6    2006        WD         Normal  \n",
       "1455         NaN       0       4    2006        WD        Abnorml  \n",
       "1456         NaN       0       9    2006        WD        Abnorml  \n",
       "1457        Shed     700       7    2006        WD         Normal  \n",
       "1458         NaN       0      11    2006        WD         Normal  \n",
       "\n",
       "[2919 rows x 79 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ignore_feature = ['Id']\n",
    "y_train = dataset_train_raw[target_name]\n",
    "dataset_train = dataset_train_raw.drop([target_name] + ignore_feature, axis=1, inplace=False)\n",
    "dataset_test.drop(ignore_feature, axis=1, inplace=True)\n",
    "\n",
    "all_data = pd.concat([dataset_train, dataset_test], axis=0, sort=False)\n",
    "all_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Observation</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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E2EtGndISCbL031LlbPz3EqF/E48r5qb+7bqycuQs9s0x5rx89A8LDCY23sBxLP4MEUGujYPIyMhnnlPCKlTnWJIxzySdJbyigzzjrP9WDeHoeWMspSQQVK6iXZ/84Ko5xaSTZTylJRJU9ik+4zB3vngcuDp3Snj5cBMEQfj/FuLvgm3xoNKFyzC71xI+nNaK9+q0Q+Gl4NujG023nMncZGyN3cKmQ2tMf2NZWDPvFqPUO9cQBIEJ3UeQfDMVtVZDh0bvmW4xEvQCbV5vzgfN2gD2hTXzbojSC3ra1H+HDxq3Jl31hInr5jK77zgePnnEuNXRqLUaCvr6M7X7F/h4edsV1sy7AUYvCLSu+xad3mxFuiqDyZvmEd3zKx4+ecT49XNQadUUVBZgSpeR+Hh52xXWfBGeYu8FO22XPNtYFmx8EdsUeccwKeQVxsq7oUSvF2hT/206NWpNuiqDSRtimNXbwBG1dhbqLAPHlG6j8fHytiusmXcjjSAItHrtLTo1fNdgl28WEN3tS1O/Haf3ceP3O6ZbzmwLa+bdAqMX9LRpaKHT2rnM7mfUaVW0SZ6pPb+gyFsGnfJ4XoTDx8vbrrCmUzwuGCdX+Uxekbm8G39Sb19HQGBCt+Ek30xDnaWhQ6N3TTf+CIJg0LepMSZtCmvm3XImCHpa1X2LTq+/ZxjrLfOJ7j7GEAMbYwz6KP2Z3HkEPl7eVoU1XaHTi+qTp5NlcThn4sBZ++bJ4wqd8gpr5t1ylnLzGgICk/qMIvF6KposDR2btTLdcqYXBNo1asGH75hrH1gW1nTWZ7LO/ma65Sz19lUEASb2HknSdcNYd2zynumWM71eT9s3W/Dh221NstgW1nRqnI7eNN3ulHrnusHvug4j+ZZRnzffNd3uJOj1tGnYnA+atDbb16Kwpul2stvXQBCY0GMkSTdTUWdp6Nj4PdPtZIJeT5s3mvNhM7NOloU1X5RHrLDmC89NFoUWxfRPz3zCxLUxzO4fxcN0Q85TZakp6FeAaT1H4+PlY1VY0+k8Y5xXnjanPMx4xPhNc01jPfnT4YY8Y1FY09l40l3+3XTLWcpNg/9O6j+apOspqDUa3n/b7B9dxw1ibK9hVrec2RbWdGZOySusab7l7BogMKHnSJJuGH2myXumW84Ewegzbxl9xqKwprNx4KqY/DcgdEDpp3dyES4tdK4Q8fPgf2pB8yKwXNC8KGwXNC8K2wXNi8J2QfOiHK6qkO4KuwBOV/q1XdC8KGwXNC8C5RvlAVzC46qqzq4YJ1f5jMsqeBsXNC8KywWNU/K4SCeXVaB3UVVyV+iUt6BxBpYLGmdkAcOCxhnYLmheFHkLGmdguaBxBpYLGmc4ANfMTU7aBbBa0Lwwh82C5kVhuaBxVh7d5d+d4rBd0LwoLBc0LwrLBY0zsF3QvCikBY09XuaC5l9xhkaCBAkSJEiQIEGCBAnOwe0lX6f8svCvOEMjQYIECRIkSJAgQYIECWL4T285kyBBggQJEiRIkCBBggERQ8q8tO+Km+v8ltZnhfSGRoIECRIkSJAgQYIECf9a/KfP0LjqsK6zlwskr7gLwK4ikU7xtHwQw905B53iACg1tDFZ5+46xeFdqxSPf0xyWpaCbaq55JAt4PThYa+Ikk4fUgTDQcVH3ztXM+mVjjUAeLQt4Sk9n8LTPthlPpP0yRqnOKpt7EJCx5VOyxL8fQ+eaJw72OrvYygap7143yker7AS5Fx54BQHgHuVIi45gOyqw9C5d584zSMv5U/2Q/Giic8Kj8K+ZO6/5rQsvk0rkpn12DkO74KAa/KMqy4fyU37yykOeWAhpy/GAMPlGH+uOeMUR9Euhkrxrrh85J90EQq45vIRV8WBKy45+qfZ1xUXAj3cfMEpDoDCH4U7zfEy4PYffZXxH1VLggQJEiRIkCBBggQJ/wv4T7+hyUNefYiU21fxdPdgXLdhBBQ3X1uXVx9CLpPT9vXmtG/0rkOu0AoRDO8whs6zOlp9nlfLJjc3h63HtvDd0U0OOYq9E0zg8LcRcvTc2XSK2+tPivZ7pV5Fwpd+ysGwiaLtXhUL41e3POgF1An3UMeL/3KojCiDTOlJRqz1LzyGWgpzSbl5FU8PD6J6jiCghNkuh84dZ/n2dQa7NGpBhybvOdTpaOJpvt73LXKZnFa1m9L2tbdF+20++hN/ZTymf8vOdm15tR1Sbhnl6THcWh5jbQe5TE7bN5uLypNXq+LKTcNYj+89goAS5v2iebUq5HI5bRu1pGNTcZ3M9+JfxcPdk6geNj5jvBffXS6jzRst6NDYsc8cTTrLqoPfIZfJea9WY9rWfku035ZjP/Mw8zH93/lUhOMMq/Yb7Pveq01pW8cBR+wOA0fzz0TbnfWZPPhGlKFIu3AEvZ70w6k8Pmj9C6R7YSWlejUAmQzc4P7Xx+05agVQ7P0IhFw9jw+m8GjfFWuOgj6UHtwIN3c5OY/U/LbwMIIu16qPXq9nxtQ5pKZcxcPDg6+iRlI2wDzeB/YdYs2qTbi5QbsOrWnb3oHPrIzhys00PD08Gd/HxmfOHjP4jExO28Yt6dislahN9Ho9k5bO4sp1A8+EAaMpV8p6r7JGm0WPsUOYNOgLq9oOlhxTN8wn5fY1Q67qMtTa74w1JuRyOW0bNqf9my1FZTH1/XmjQe6G79D+Deu+jzLS+XLFNLTZOooWKMz4rsPw8fK2k2fi3BlcuZqKp4cHE0d8RbnSZa11ysqix/D+TBo5looB5cXtMms6KakpeHh6MvGLsQSUMXPs2ruH9d9uQiaTUzkwiLHDRyOTif/WZqgPsQm5XE7rem/TvmELa50y0xmzaoZJp6jOkfh42us0fcpMUlJS8fT0ZGzUl5QNMMuzf98B1qxahxtutOvYlnbt22ALV+UZMNcmcZfJafXaW7Sr945V++PMdL5aPwttto4iBQoR9dFgvC100uv1TFwcbfQ7DyYO+oJypUTG6KtBTBr8JRXLls9HFkM9Jne5zCBL/eb2sqybhTZbS5EChYn62FqWPMSmnmdN7HbkMjnvhr1J6/DGot/37ek9PFQ9pm/jD0Xb8+pdyWVy2jR4m/av2/hwZjpjVk4nK1tr8OEuw7CtQ59XJ0UuN3KIxMGYldPJ0mkpWtDAYRsHrpLFVfZ1Ng5c+Uz0j7KvsX6MXCandf13HNvFKEtU56F2+QEg9so5Vh3+3jDfRjSmTa2morp/c2InDzPT6ffWxw7t80+EzE265exfi4Pnj6HL1rFu7AIGvd+DOVuWmtqyc3KYvXkJS4bP4Osv5rD18E4ePBZ/jd/9nX5M7jwLTw8vq8/d5e6M/mA83WM+4rPoDnR641OK+BcV5XBzl1FtUhtOd1zKydYLKdu5Hp7F/Oz6eZcqSMV+jZC5y8WVkrlRoFEgD7de5MG3cShqlEKm8LTu4y6jYItqKMPF7xw/cDYWXbaO9RMXMfjDXszeuNjKLrM2LGLp6GhWjZvL1gM/O7RLTm4Oc3esYn6P8SztM5kfTu3lYcYjqz5Z2VqiNsfw/fHd4voAB84Z5ZmwkMEf9GT2xiU28ixm6eiZrBobw9aD4uN04GwsWp2ODZMWM/jjXsxab80RvW4hy76cxeqoeWzdv4MHjx+KynLw3DG0Oh3rohYy+IMezNlk7TOzNi5h6agZfD3GsSx5tpm3aw3zuo5lSY8J/Hhmn7htvp3H96f2OOb4eTXzukexpNckfjztwL7fzOX7k+IcgEt8BgC5G8U/rcOt6Xu5OWkPBRtXQV7Ax6pL0Y4R/LU3mVtT9vDwx0sU/aCWHUeJLq9xY9JubkTt5JVmVXEvaM1RpG0Yjw+lcmPsz2jvPKbQ29bVmgEOHTyKVqtj1bolDBjcm7lzFpnacnNzWThvGYuXzWHVuiWsX7uZx48e23EcOBOLNlvHhilLDD6zzjoOotcuYtmY2ayeMD9fn9l/8ghanY5N0cuJ7NyH6FULrNovpybx+Rf9uH3f8RbLg3HGXDVmPoM6dmfON8usZJm9ZSlLhk3n61GzDbkqXdzvsnNymP3NMpZETuPrkbPYemSXXd/lOzbQ4rUmrBo1hyoBldh6eKe9TrGH0Om0bF60iqG9BjBz8Vxrna4k0nlwL27ddbxVc/8RA8fGFWuI7DuQ6PkxprYsbRbzly9m1cJlbFy+mszMTA4fOyquU24Os7cuZ9GgKayInMn22N12Oq3YtYnmtRvz9bBZVClbiW1H7fPNoQOH0ep0rFn/NQMH9yNm9jxTW25uLgvmLWLxsoWsXr+S9Ws28EjMZ1yUZ3Jyc4j5cSUL+0xi2YBpbD+xhwdPrGN75d4tvFPrTVYMmkGV0hXZdtw6xvefOIJOp2Pz7BUM7dKPmSvt/a7zqL7cupf/1t6c3Bxitq9kYb9JLBs4ne3Hf7GX5RejLINnGmQ5Zp9vcnJzWLBvA3M+HM3CT7/ip7gDPMy0tqE2W8fEnxaz7fyvDuXJzs1h9ndLWTx4KiuHR7PtqMh4/7yR5nUas2rEHKoGBLL1yC5rjpwcZn+zlMWRU1k5IpptR/LhGCXO4SpZXGVfV8SBq56J/kn2zc7NYfb3y1g0cCorhkazPdY+563YuZHmtRvx9fDZRrvYy5KTm8O8PWuZ+9kYFncZz4/n9vEw47FVH222jvFbF7D1zF5Ru0j4/8H/xIImLvUy9WsY9ueGBlYn8bp5//L1e7coW6wU/ko/PNw9iAgKIS5F/PzD7T9vMHBJD7vPK5YI4tYfN3iiTic7N5tzqaepFfSaKIdv5eKorz8gJ12DkJ3Lo1PXKVS3olUfmZc7IbPf5/KIrQ51ci+kIOexBkGbA3oB3W/peJYuYNXHTS5Dk3ifjFPi++rjrsRTP7SOwS5B1Um4ZmGXuzcpW7w0/r5Gu1SpwfnkS6I81/+4Q5nCJfFX+OLh7kFY+WpcuJ5o1UeXnU2LWo3o2rSjKIdBnsvUD6ttlue6+Rd7kzx541Q5hPNX7OWJS46nQbhBp7CgYBKvWXD8dpOyJWx1Eh/ruJR4GoSafebpsojzXP/zDmUKl8Dfx2ibclW5cMP67JEuJ5uWEW/SpVEHcY4/bDjKV3PA0YgujcU5wDU+A+BVqiC63zPQq3WQq0ed8juKKsWs+vyx8QyZF26bOIVs6zcrXmVeQXf/CXqVDiFHjzr5PopqJaz63F9zkvQjaeAGHoWV5DzW2MlyMS6e+g0MsVYjNJikBPM4yeVyvt2+Hl8/X9LTn4Ag4KPwseOIS75k9pnKwSRezc9nQjmfJB4H55Mu0bBmXQNP1RAS0pKt2nXZ2cz7YpromxmTLKkJ1A8x+l2l6iTeeLFcZdc3MJi41MtWfS6kJVA/5FUAGtSozamkOHud4i/SsE59g07Va5CQYuN3umzmT5op+mbGpNPFCzR4zcgRUoOEZHNu8PTwZMPy1fh4G8YlNzcHT09PUZ4b925Ttmgp/BUGncIDg4m7an3G7MLVBOpXNyyeGwS/yqlke50uxF2kfn3DONUIrUFignmc5HI532//Bj8/X9IfpyMIAgpRn3FNnrn++23KFDHnzvAK1blwzUana4nUq2rQqX61VzmdctGq/XziRRrWsvQ7mzHK1jH/q+lULOvY7wCu37eRpWJ1Ltja91oi9aoZZalei9MpF+x4bjy8S+lXiuPvo8RD7k5o2SpcvG399lWbk03zkNfpXN/+7ZdJnnu3DOOttBjvNBEfDjb6cPCrnLbx4ev3reMgPOgpcRBiz+E6WVxkXxfEgaueif5J9r1hy1EpxJ7jagL1q+dx1BbNDzf+/I0yhfLmW3fCAqpy8ZZ1TGlzdLQIe4PPX28napd/OtxkL++/l4kX/rpx48bx66+GX1d69OhBv379WLRoEdu2bePcuXPMnj2bKVOmcOeO9S93CxaYfz1KTk5m/vz5TJs2jUuXLlm1uRIqjRpfhfnlpFwmIyc319imsmpTeCvI0KhEefae30VObrbd574+fmRoMszfl6XCz8dflMPdz5vsjCzTv3Mys3D3t37lGTyjA9cWHUR7P92hTjJPd8ODqRFCdi4yL+sdhII2B+3NR7Z/apZTo8bPgV0y1Wobu/iQ6cAuqiw1vt4Kc18vHzI1aqs+/gpf6laOcCiLSR4fS3nkZnk0anwt2hQ+CjLV9vJkalT4+via/i2TycjJzTG1+Vm0KX0UZKjFDy3b+4zcwmes25Q+PmRqHPBkaVDa2ibLxjY+vrwWFC769wAqrRiHte7+Pr68VtkxB7jGZwBkPh7oNTrTv/WabOQ2b3pyM7WQK+BZ0p9iH7/Kg20XrNrlPh7o1eZYytVk278tApC5UWlOB5QhJVEn218EoFKpUPqax0Iml5GTY9bR3d2dA/sP83GnrkTUCsPd3X6XbabNeNr5jM1YZ4j4HYBKrcJPackjN/EA1KweSsmixUX/1sShUVn5uXWusokBbx+HuUqVZdtXYSe3JZ/SWyEa35lqFb5KcdsA1KwRRsliJez+zpojEz9fi5i0GCOZTEaRQoUB2PjdFtQaDfXr1BXnyVLh622hk5d9TrLUW+FtHycAmSoVvn7i8oDRZ/Yd5MNOnxJRK8KBz7goz9jmThGZVVqNqY9Y7BvGyFIWW78Le6rfmWSx8S87WSzkVXgp7PK8rbwACk9vVFrbnKekTsUazyWPUmQOysxSWYy3vQ/bxowohyZ/DpfJ4iL7uiIOXPVM9E+yb6aYffOzi4jdQMx/HczZgWF2fyvh/xcvfIamaNGiXLt2jQcPHqDX69FqtYSEhFCxYkWuXbuGUqmkWbNm+Pv7s2DBAgYOHMiCBQu4ceMGa9eupUCBAvz2228MGjQIgPv3DbcN/fLLL9y9exeNRkORIkVQq9UEBgZy7tw55HI5HTt2pESJ/CdQWyh9FKgtHFIvCLjL5cY2Jaos8y+/6iw1fgpfO478kKnJQOltGYxKMtT2i5HXfuyPX/WSPD5nvs3I3debnHTzAserhD+v1K2IokIRGPEOHq8oCF/xGRd6rgfAr34FPEsXwKOoL7p75puI3Dzk6C0eVp8FSh8FKiu76E128VUoUGss7aKxs8vSPRu5eCORtHs3CQ6obO6r1VgllueTx/yder2FPDZjqNaIj5Ovj9JmrPW4y91NbZb6qhxwPE0WpY8ClcaSR8Q2v27m4s0krt6/RfUygWa5tRqrRVt+iImJ4dQvR7l6/ybVywZZc3g/u31d5TNF34/Ap3JxvANeQXP1T9PnMh8PctU6u/6K6iUo0aUud5ccNX1vsQ9roahWAq+AV9CkmTnkPh5oVVr7L80VuBq5FWWNUpQe+CY3oqy3RSmVStQq81gIesHuAbRJ0zdp1Ph1Joybxs4dv9C6rfXebF8fBWqNbX5w5DMa/JQOfEahtPILwcL3nhVKHyVqS7+zylXW8SoWk4u2ryYuNYHUO9cJqVjFoq/1jxd5fOosNd6eXqgc5D1fhRKV2sa+z6mTr8IXlcViynaM9Ho9sxfN4+btW8RMnYmbzf7uxT+t5cLVBFJ/u05I+apmnURiSemtQK3V4O3pZbCPj4hOSiUqK5/R2/tMs8Y0avIm48dOZOeOXbRua31uytk8s2TXei5cSyTt3g3r3Jmlwc/buq/Sy8esk4jOvgolKo2lfZ/P75bsXM+Fawmk3b1BcDlLn3mKfbXWP0AtP/wdl+5c4eoft6leqpKZR5dl9QD+NCz6YY1hvO9cI6SCebxVIuPp622IF8N4mx/SF21fw4U0I0dFGw6bsfD1seGw0MkVssTExHB6X6zT9nVlHDj7TPRPs++Z/cfs7SIii9JbYebQWn/Hsv1buHTrCmm/3yS4jMV8q9M8l//+G+DgiOK/Hk6p5eXlxa+//krt2rXp27cv/v7+bNy4kZIlS/LRRx+RmppKbGwsYNibDFC2bFk+//xzfvvtN/JqegqCYFrQKJVKfHx8uH//PoGBgTx+/Bi9Xk/58uXR6XTodPYPTk9DeGAwsRdPA3ApLZHAMhVMbRVKBnDr999Iz3xCdk4256/EExZY/bn4r91PpVyxChRQFMRD7kHtynWJu3bOrt+pNovYX20cyopF8CiowM1DTqF6FXl05oapj/b+E47UncapNos41WYR2Y/UpsUMQMbx6zz87gL3lx7DvaAPbt7uIHPDs0xBdPccv9ERQ0SVEGIvnDLYJTWRoLLmrW8VSpXj1v07JrucS7pIaJC1Xfo0/4Qlfaawe9wabj+4R7o6g+ycbOKuJ1DDInE/szyVnyaPeZzOJV+ykwcgvEoIR+MMlyxcTE2w5ihto1PyJcIqB4vKEm4pS1oiQWUtfKZUORufuUSojc/0eesjlvSYyK4vVnLnr/tm29xIIqRsZZ4FkZGRLOk1iV1jVnHnoQXH9URCAp7dvq7ymT+/i+PWlD2k9NuCZ3F/ZEpPkMtQVC2OJvVPq76K6iUo/lkdbs38lazr5vMDf2w5x42onVzpsRHPEv7Ifb1wc5ehqFYSdcofVhwle9RHEVwSAH1WNojUAA4LD+FYrGG84y8lUCnIPN6ZmSp6dR+ITqdDJpPh4+ONTGZ/GDK8Sg2OxhnG+mJKAkEBFmNduhy37lnHgSOfiahWgyNnTxh4ki8TVK6SaL/8EB4YTGy80e+uJhJYOp9clRJPWCVrv+vfrisrR85i35xvuP3H3Xz7hgUGExtvuGr3WPwZIoJC7HUKCePoqWMGnRLjCar4/DpFhIZx9ISR43I8QZUCrdonzJiCTqdj/vTZpq1nlujX+nOWR85k74zN3P7zLukqQxycT71MaEXrc1XhFasTe9moU8JZIgLtxyosIpRjsYZLKuIvxRMYZJYnMzOTnt36mHzG28cHN5HZ39k807flZywbMI1fJq7nzoN7Jp3iriVQw+KhDCCsQnWOJZ0F4HjSWcIrWnNFVA/l6BkLvyv/fGPU993PWDZwOr9M3sAdC/vGXb0sIks1jiUaZUk8R3glsyy93nyfhZ98xY5Bi/jt0e880WSSnZvDhdvJhJS2HvP80L9tF1YMi+bXWd8Yx9vow6nxduMdVqk6sZcNc/uxhLPUDDT4cP92XVgxIppfZxvjQGWOA1GOeCPH5bPUtIgDV8gSGRnpEvu6Mg6cfSb6p9l3+dBo9s7cYmMXe47wSsHEJuRxnCEi0CxL76YfsqhrFDtHLOfOX/d5os4kOyeHCzeTqPGMc7aE/184dcvZG2+8wZo1a6hcuTKrVq0iPDyckiVL8ueff7Jzp+GX1KZNm5KYmMj69evx8PDg3r17bNu2jQoVKlC+fHkWLFhARkYGTZo0ASAtLQ0PDw80Gg23bt2iYMGC/P777/z55594enry8OFDAgICnkvOJrUacjLhPJ9PHoQgCEzoPoLdJ/aj1mro0Og9hn3Yh36zRyPoBdq83pxirxR5Jt736rRD4aXg26MbmfHtBFZGbkLmJmNr7Bb+eCxe30LI0ZM09kdqf9cbN5kbdzaeQns/HY+CCmrM/YDzXVY/m1J6gfTDaRRuHwZubqgv30OfqcPN252Cb1Xl0Y7LT6Vo8urrnIg/R+eoAQiCwMTeo9h1bB/qLA0dm7Zi2Kf96Dt9JHq9nraNWlC8kPhFB+5yd4a06srglRPQC3pa1W5GsQKFSVdnMPX7RczoPPqZVGryakODPOMHIAgwsfdIdh0zjFPHJu8x7NO+9J0xyiDPm+LyNK39Oifjz/LZ2P4ICEzqM4qdsfvQZGno2KwVwz/rT5+pI9ALAu3y0alJrYacvHyOzhMGAgITeo5k1/H9Bts0eY/hH/eh78zRCIKeNm80z9c2g1t0YciayegFgVa1Gptts30JMz4Z+VS7uMvdGfxuF4asmmjgeLWpmWPbYmZ8OuqZ7OsKnwEgV+D3DacJGPU2yCD9cBo5j9TIlJ6U7NmA3+YepPindXBzl1Oq9+sA9gunXIH7a05R7qvm4ObG44NXyPlLjdzXi1J9X+d29D4e7kqgVO+GIAgIgsDdFfY3pTVq8ganTp6lW+e+AIybMJo9u35FrdbQvmNrmrd4i17dBuLu7k5gUCVavGt/+17TOq9z8tJZPvuqH4IgMKnfaHbG/mr0mdYM79yfPlOGo9cLtGvc0uFYN6v7JicunOGTkb0RBIHJg8fw8+G9qDUaOjV3fFbAEk1qNuBk4jk+nzIYAYEJ3Yaz++QB1FkaOjR615Cr5nyBIAi0afiOw1zl4e7OsE696Tf3SwS9njYNDXktPfMJE9fGMLt/FD3f/Zhxq6LZdmQXBf0KMK2nfZw2e70Rx8+d4uMB3RAEmDJqHD/v24Nao6ZTq/bPpFPTNxtz/MwpPunVFQSBSWOi2Ll3N2q1huBq1dj284/UCoug28A+AHza6UOavdnEXie5O0M79GTAgjHoBYE29d+mWMEipKsymLRhLrN6j6V7i4+IWjebH47toaCvP1O62sdG4yaNOHXiNF0790AQBKImjmX3rl/QqNW079iOFi3foUfXPri7ywmqHETLd5vbcbgqz7jL3RnSpgcDl41DEARavfYWxQoWJl2VweRvFhDd7Uu6vd2J8Zvm8sOJvRT09Wfyp8Otx6jemxyPO83Hw3oiAFOGjOHnQ78Y/K5F22caI5Ms7XowcMk4BEFPq7pvmew7ect8oruPodvbHzB+Yww/nPiFgkp/JnceIcozoOknDN0yAz0C74a+SVG/QjzRZDJ910qmdhjyTPJ4yN0Z2rE3/eeNQS/oaVPf4O/pqidMXDeX2X3H0ePdjxm3Oprtsbsp6OvP1O5fWHO4uzO0U2/6xxg5GlpwrJ3L7H7j6PGeIQ62HzVy9Pzib5HFVfZ1RRy46pnon2RfA0cvBiz4Er3e1i4xzOo9zmCXtbP4IdZol272Oc9d7s6gdzozZMMUBEHgvYjGFPUvxBN1JtN+Wsq0D4fb/Y2EfwbcBEHkZ8//CKTCmuKQCmuKQyqs6RhSYU1xSIU1HUMqrCkOqbCmOKTCmo4hFdZ0wCEV1nwh1P2i7NM7uQgnpzn/HP6s+I/upJMgQYIECRIkSJAgQcL/Av4nCmtKkCBBggQJEiRIkPC/DrGzpP8FSG9oJEiQIEGCBAkSJEiQ8K/Ff/oMjQQJEiRIkCBBggQJEgxo8NXzXazlDI5Ndu5s6PPgP73lzNkDZ2A4dOaKw/yASy4XuJFxzCkOgPJ+DcjKynp6x3zg7e3tsksBcu8833XTtpCXMVS7z73m5AHZioXQPRIvIPY88HxFiVZlX9X+eeClNFxfq7vk3OF3z9DiLjvgfV/9jLegOUAJRQgJf/3stCzBhd4jJ+Xh0zvmA/fKhmKOrjjgfU998ekdn4KSijD0Nx87xSErV9Blh3VdFQeu8F9Nln1xweeFj7fCadso3ygPwAPNVad4ivhUQp3l3GUJAApvX7KT/nx6x3zgUa2o05clgOHChL80N5ziKORTHsAlFx3k3M94esenwL2En0sO0AMuGSdncxUY8pUu3bl48iygcPoCEzBeYuIi+7qCx9m4BkNsS/j/w396QSNBggQJEiRIkCBBggQD/quFNf9nFjSHL55kxc6NyGVy2jR4m/avW1cLf5SZzpiV08nK1lK0QGHGdxmGj6e3HU+xd4IJHP42Qo6eO5tOcXv9SdHve6VeRcKXfsrBsImi7aEVIhjeYQydZ3W0+rxx6Fv0axVJbm4OW49t4bujm0T/Xq/Xs2D6Bq6n3sbDw50hY7tQumxxu35zp6zBz19J94Hvi3JMmTKFlJQUPD09iYqKsqrxs2/fPlatWgVAx44dad/ecd2Jo4mn+Xrft8hlclrVbkrb1+zrfQBsPvoTf2U8pn/LzqLyTJw3gytXU/H09GTisDGUK219vaAmK4seIwcwafhXVAwoL86xKJor19Lw9PBg4pAvKFdKhGPMICYN+ZKKZe058ngmR0/jSmoKnh6eTPhyLAFlzbbZtXcPG7ZsQiaXUTkwiK9GfIHMJkvo9XqmTJvKlZQUPD09GD/W2r679uxmw6aNyGUyKgdVZswXX9pxmGRZOYcrN67i6eHBhD4jCShZxtR+6Owxln6/FrlMTrsmLenYrJUdh8k2c4329fBg4oivxO07vD+TRo51aN+YqStIS7mBp6cHI8b1pUxASbt+0ZOW4O/vS+/BnzmUZXn0Nm6k3cXDw51+X3SiZFlzrYOfNh9m/45T+Bc0VHLuM6ojpcsVE+WZtGQWV66nGsZp4BeUK1XGqo8mK4se4wYzaeAXouOt1+uZsiqGKzev4unuwfjeIwgoYWHfc8dZtnUtcrmcto1a0rHpew51ipm6kqspN/Hw9GDEuD6UCShh12/WpGX4+fvSe/AnohwTF8wk+ZpBn0mRX4qOUffRA5k8dIzoGOXh8MWTrNixEbncmPPesMl5Gcacp9NStKAx53lZ5zxXxUF+/gug0WbRa9JQJvQdRcXS5UT10ev1TJ0ylZSUFDw8PYmKGieSr1bjhhsdOrbPN1+9iG0sa4Xr9XpmTV1EWsp1PD08GB01mDIB9m/gZ0ycj38BP/oO7pqPTtNNOXhc1FgCAszjvW/fflavWoMbbrTv2I727duJckxaNpuUG2l4uHswccBoUfv2jIpk4oDRVCzj2L7Tp8wkJcWQf8dGfUlZC1n27zvAmlXrcMONdh3b0q69eG0lvV5P9NQFpKVcx8PDgy+ihlA2oLSp/eC+o6xf9S24QdsOLWndvoUox8TF0Vy5bszjgxzk8a8GMWlw/nl8Usx0rqSl4unpwYQRYylXxsyzc98e1n+/GblMTuVKgYyNHO0wB09dN5+U24YcMa7bMAKKm3U6HHeC5T+tRy6T0/b15rRv9K64LC4aJ2fzlV6vZ/KMqYa49vRkwphx1nH9y25DXMuMcT3K8dw0dcN8Um5fM9ily1Bru1w4wfKfNhhkadic9m+2tONwpX2d5cjjcUVsS3j5+I+u06yRnZvD7O+WsnjwVFYOj2bb0d08SLd+rb3i5400r9OYVSPmUDUgkK1HdtnxuLnLqDapDac7LuVk64WU7VwPz2J+dv28SxWkYr9GyNzlovJ0f6cfkzvPwtPDy+pzd7k7oz8YT/eYj/gsugOd3viUIv7iBdmOH4ojW5fN3NVj6DawI8tjvrHrs3PrIW6kOa7xcuDAAXQ6HevXr2fw4MHMnj3b1Jabm8u8efNYtmwZ69evZ82aNTx69EiUJyc3h7k7VjG/x3iW9pnMD6f28jDDum9WtpaozTF8f3y3Q3n2HzuMTqdj88JVDO3Rn5lL51m1X76SSOfIXty667hWzP4TRwwcMSsY2rUfM1cssOZISaLzyL7cupd/7ZsDhw+i1erYuHItQ/oPJHp+jFmXrCwWLFvM14uXsWHFGjIzMzkce9Se4+BBtDotG9auY/DAwcyKmWPFsXDxIr5etoL1a9aRkZnJ4aNHxGU5cxStTsfGqUsY8klvotctMrVl5+Qwc81Cln01mzUT5vP9vh08eCS+HWt/7CF0Oi2bF61iaK8BzFw819o2VxLpPDh/+8YePI1Op2PJumn0GvQpi+estevz0/d7uZaa/5aE00cuk63LZvqKQXza713WLPjJqv3alTsMGvcRkxb3Y9LifqKLGYD9J4+g1enYNGsFkZ/3JXrVfGudUpP4/It+3M5nvA+cjUWr07Fh0mIGf9yLWeuXmNqyc3KIXreQZV/OYnXUPLbu38GDx+L2jT14Bp0um8XrptBr0McsmbPOrs9P3/+ar232HT+MVqdjy7yvGdq9HzOX28RAShKfDevN7Xv510vKzslh9jdLWRw5lZUjotl2JJ+cN8pxznNJHOTjvwAJV5PpMm4gt+/nXxvr4IGDaHU61q1fx+DBg5gz2xxPhnw1n2XLlrJu/VrWrlnnMF+5wjZHDp5Ap81m+bo59BnclQVz7Osr/fD9Lq6m3XiKToaYXLd+DYMGD2TObLN9c3NzmT9vAUuXLWbt+tWsW7NeVKf9p46i0+nYOGMZkZ37EL16oVX75bRkPv+yP7fv55/zDh0w+N6a9V8zcHA/YmabfS83N5cF8xaxeNlCVq9fyfo1G3j06LEoz5GDx9Fps1mxbi79BndjwZzlVjyL561i/rLprFg3l41rv+fxI/stx6Y8PnsFQ7v0Y+ZKmzyemkTnUU/P4/tjDxnyw5LVRPYaSPRiC//VZrHg6yWsnruMjYtXkZGZyaET9v4LcPD8MXTZOtaNXcCg93swZ8tSU1t2Tg6zNy9hyfAZfP3FHLYe3smDx/bb5lw1Tq7IVwcOG2Jp46p1DOk/iOh51nPTgqWL+XrJcjZ8vZZMVSaHY8XnpoNxRruMmc+gjt2Z880ya7tsWcqSYdP5etRsg13SxbcTusK+ruAA18X2PxluMreX9t/LxP/Egub6vVuULVoKf6UfHu4ehAcGE5dmfR7gQloC9YNfBaBB8KucToqz4/GtXBz19QfkpGsQsnN5dOo6hepWtOoj83InZPb7XB6x1aE8t/+8wcAlPew+r1giiFt/3OCJOp3s3GzOpZ6mVtBrohwJF1J5tV4IANVqVCI16YZVe+KlNJIuX6Vl+zcdyhEXF0f9+vUBCA0NJSHBXMRRLpezfft2/Pz8ePz4MYIgoFAoRHmu/3GHMoVL4q/wxcPdg7Dy1bhwPdGqjy47mxa1GtG1aUdRDoDz8RdoWLseAGHVa5BwxfqMji47m/kTovP9Vfp8wkUa1qpr4KgWQkKqLYeO+WOnO/z1y8Rz8QIN6xlsExYSSmKyWR9PT0/WL1+Nj7fhnEtObi5eXp52HHEX4mhQv4GBIzSUxMQEa47Va/HxMXDk5ubg5WnPAXA+KZ6GEQY/CKscTOLVK6a2a7/dJKBEaQr4+uHh4UFE1RqcS74kzhN/kYZ1jDpVr0FCio1tdNnMnzQzX/teikuiTv0IAIJDK3Ml0Xrf8eWLV0iIT6F1x7cccgAkXbxORN2qAFQJKcfVJOs90FeT77B13QG+7L2ArWv3O+Q5n3iRhrWMtqkaQkJqsrVO2dnM+3JavuMdlxxPg/A6Bo6gYBKvme17/beblC1RGn9fQ+6IqFKD88niRVPj45KpUz8cELdNwsUUEuNTaZWPbc5fvkjDVw3+G16tBpdTbPXRsSBqJhUc/CJtkvv+LcoWs8h5QcHEpYrkvBBjzgsRz3muiIP8/NegUzbzRkymQun8D6rGxcXRwCpfmWUx5Ktt+Pn5kf44Pf985QLbXIpLoG6DWgCEhFYlOcG6cOLli0kkXEqmTQf7tw/WOl2wyME1SLTRadv275+qU1zSJRrUNNq3SggJafY+M2/01Kfa90LcRerXN/hejdAaJCaYeeRyOd9v/wY/P18LWXxEeS7GJVC3gcF2IaHVSLKwjVwuZ/P2lfj6KUlPz0AQBHxEeAxxbczjVUNISBPJ419Np2LZp+TxSxdoWMc4pwRbzymeHp5sWLQKH2/DW8nc3Fy8PL1EeeJSL1O/hqHwZ2hgdRKvmwujXr9n7U8RQSHEpdjnCFeNkyvy1fkLcea4rhFKYpJNXK9cY47rnPzskkD9EKNdKlUn8cbz28XA4wL7uoADXBfbEl4+nF7QLFiwwO6zNWvWADBgwAAWL17MDz/88FSevL/5O6DKUuPrY94woPT2IVNjfeg1M0tl6qPwVti1A7j7eZOdYT5Mn5OZhbu/9RaN4BkduLboINr7jg+67z2/i5zcbLvPfX38yNCYDzOqslT4+fiLcqhVGpS+5olAJpORm5MLwMMHj9mw/EcGjPrUoQwAKpUKPz/zGya5XE5OTo7p3+7u7uzbt49OnTpRq1Yt3N3FdyiqstT4epsnWoWXD5ka64OH/gpf6laOyFeeTLUKX6WvWSe5jJxcszw1Q8IoWcx+W12+HDK5NUdwGCWL5s8BBtvY8RhtI5PJKFLYcKh847dbUKvV1KtT114WlQpfX0t9rDkKGzk2bdmMWq2hXt164rJoVPgqzP4rk5ntolJbtym9FWSqxQ90G2wjzgNQs0YYJYvZb5GyhMHvzGMtk8vIyfO7Px+xZtk3RI7umS+HgScLha85dmRys/8CNHwrnD4jOzBhYV+SLl3nbGyiGA0qtRo/RT7jXT30qeOdqVHh62PJYbZLpkaFn0Wb0kdBhlr8QLdKpcE3X9t8x5DR3fOXRa3Cz8Lv5LZjFPz0GABQaZ4h52menvNcEQf5+S9ARNUalCjyjDHpZ2EbkXy1f99+OnX6gFq1ajrOVy6wjUqltooDucVYP/jzL75eupFhX/R7Bp0ybXSSieh0gA86fUjNWhGiOmWqVfjlY9+a1Z4eA2DMV342+ddGlgP7DvJhp0+JcCCLQSc1vr5meSxtY+CRc2h/LJ079SW8Vg3cRXYyPDWPV3/GPG4TTzKZzNp/Cxn9d+sW1BoN9V8V/wFRpVFb+bAhLnONbdb+rfBWkCESSy4bJxfkK5Xt3OQorr/ZjFqjpt5r9nENRt19HNnFOs4U3j6idjH1ddK+ruAA18X2Pxky2cv772XCZWdoNm7ciE6no0iRIiQmJpKcnIybmxvu7u6UL1+eadOmERgYyMOHD5HJZFSrVo29e/cSEhKCm5ub6W92796NSqXiww8/5McffyQ9PZ2WLVty5MgRlEolzZo1o0qVKs8k06If1nDhagKpd64RUqGq6XNVlsYq6AF8vZWoszR4e3qhzrIOjMpftOCVuhXxq16Sx+fM20Xcfb3JSTcvcLxK+PNK3YooKhSBEe/g8YqC8BXiZwjEkKnJQOltOdEqyVCLL4wUSh/UavN3C4KA3DgxHN13hvTHmYwdNJe/HqajzdJRtnxJ3m7V0IpDqVSiUpmDWq/X201SzZo1o0mTJowdO5YdO3bQtm1bU9vSPRu5eCORtHs3CQ6obPpcrdVYJbJnha9CicoiyQh6AXf587moPYf+uTnAaBu1Y9vo9XrmLJzHzVs3iZkejZub/atVX6USdT721ev1zJk3l5s3bzInepYoB4DSR4nKYoGoF8x2USqUqCxugVJlWT/gW8mjUKJSm/u+iH0Nfme+wU3Q600PJAd/PU764wxGDZzCXw8fkZWlI6BCaVq0biLC441GpTXrpDf7ryAIvPfBG6YFe6361biW8huvNqxux6NUKKxsIwjPP96+PkrUWZb2NXP4+tjYV+PYvkob2+j1gsk2h349QfrjJ4waOI2/Hj5Gm6U12qaRtSwK27F+Pn0WbV/DhTRjzqtok/Ns5DbobZHzRGLWFXGQn/8+Dwz5yoJHJF81bdaUxk0aM27sOHbs+Jm2bc3nPFxpG6VSgVplOdaWcXCU9MdPGD4giocPHxnGunwZ3m1j/2ZOqfS1yRGCiE5NaNykEePGjufnHTtp07a1taw2PiO8oH19bewriNi3SbPGNGryJuPHTmTnjl20bmt/Xk+pVNiMk2C3aGnUtCFvNK7PpHGz2L1jH++1fUdEJxfkcducJwh2/jt76Xxu3L7J3Ekz88nBCpscIeAulxvblKiyzL6gdpCDXTZOLshXdrEkiMT1grmGuJ6R/9ykttDd2i4KK1nUInFm5nHevq7gANfFtoSXD5etnx49ekTXrl25ffs2ZcuWpWrVqlSuXJlevXoRHh6OQqHg/fffJycnh169ehEfH0/RokX54IMP+P333ylbtizly5enYMGCeHp68tdff1GnTh3eeust/vrrL+7cuUPBggW5cePGM8vUv20XVgyL5tdZ33D7z7ukq56QnZPN+dR4QitWs+obVqk6sZdPA3As4Sw1A0NMbSnTdnOqzSL2VxuHsmIRPAoqcPOQU6heRR6dMcujvf+EI3WncarNIk61WUT2IzUXeq5/Znmv3U+lXLEKFFAUxEPuQe3KdYm7dk60b/WwQM4cM7wyTYq/SvlA8+G3th++xaINUUQvH8UHXVrSuPlrdosZgIiICGJjYwG4dOkSQUFBprbMzEy6deuGTqdDJpPh4+NjdyiwT/NPWNJnCrvHreH2g3ukqzPIzskm7noCNco926LTSp6QMI6eOg7AxcR4gio8/xWIEdVDOXrmhIEj6fILcQBEhIZz9LjhiuyLly8RVCnQqn3i9ClodVrmzZxjejVvi/DwcI4eM9j34qVLBAUGWbVPnDIJnVbLvDkxpq1norJUDeHoecPlExdTEggKMG9zrFi6HLfu3SE94wnZ2dmcS7xIWOVgcZ6QMI6eMuqUGE9Qxee3TY3wqpyKPQ9AwqUUKgSat3x0/PhdVmyKZt7KiXzctR3NmjcUXcwAVA2twPkThu0fVy7fpFwl88UCalUWQz6JRqPWIggC8efSqFS1jChPRLVQjpw1jnfyZYLKPb9O4VVCOBpntG9qAkFlzfatULoct+7fIT3TkDvOJV9yaN+Q8CqcjDVsTUq4lELFQPPWkQ4ft2T5phnMWzmej7u2pWnzhnaLGYCawaEcOW2IgQtJ8VQuH2jXJz/0b9eFFSOi+XX2N9z+wyLnpTjIefHGnHf5LDWDQuz4XBEH+fnv8yA8ItwmX5llyczMpHu37jb5yvohzJW2qRFenROxZwG4fCmZSkHlTW3vf9yGVZvns/DrGXza9X3eatHI4QNPeEQYsbHHjDrFE2inU08LnbxF96RHVK3B0XNG+165TFC5F7NvWEQox2INvhcvIkvPbn1Msnj7+ODm4OfX0PDqnIg9A8DlS0lWtlFlqujbfbiNTvY8Vnk8+TJB5V8wj9cI40hezkuIJ6iCtf+OnzUVrU7LgimzTVvPxBAeGEzsRYM/XEpLJLBMBVNbhZIB3Pr9N1OOOH8lnrBA+x9fXDVOrshXEWHhHD1unJviReJ62mS0Oh3zomMcxjUY7RJ/CoBLVxMJLJ2PXVLiCatkbxcTj5P2dQUHuC62/8lwk728/14mnH5Dk5GRweLFi/Hz82PDhg2UL1+eR48ecfbsWat+eQ/Dbm5urFmzhvDwcM6dMz+sFypUiMuXL/P777+j1+tRq9WcOXOG9PR0WrduTalSpVCpVNSsWfO5ZfSQuzO0Y2/6zxuDXtDTpv47FHulCOmqJ0xcN5fZfcfR492PGbc6mu2xuyno68/U7l/Y8Qg5epLG/kjt73rjJnPjzsZTaO+n41FQQY25H3C+y+rnlg3gvTrtUHgp+PboRmZ8O4GVkZuQucnYGruFPx7fF/2bBo1rcv5UIkO6TQEBhkZ148Cek2Sps2jZvtEzfW+TJk04ceIEnTt3RhAEJk6cyK5du1Cr1XTs2JGWLVvStWtX3N3dqVy5Mu++K34riLvcnSGtujJ45QT0gp5WtZtRrEBh0tUZTP1+ETM6j34meZo1bMTxc6f4eGB3BEFgyshx/Lx/D2qNhk7v2d/uI8pR/02Ox53m46E9EQSYMnQMPx/8xcDRsu0zcQA0bdSYE2dO8mnPLgiCwKSvxrPzl92oNWqCq1Zn244fqBkeQff+vQH49IOPaNrI+uG9aeMmnDx5ks+6dEYQYNL4CezcvQuNWk316sFs/+EHakbUpEdvwxatTz76hKZN7BcATeu8wYlLZ/l0TF8DT//R7Dz6K+osDe+/1ZoRnw+g95Th6PV62jVpSfHC4hdJNHvdaN8B3Qy2GTWOn/ftQa1R06mV4xuhLPF6k9c4e/IS/T7/EkEQGD2hP7/uPopGraF1B/Gb7cTw2pshXDydwhc95yMAA8Z8wJFfzpOl0fJ223p80qcl4wYswcNDTuirQdSqX02Up1m9Nzlx4QyfjOiFIAhMHjyGnw/tRZ2lplPzts8kS9Par3My/iyfje2PgMCkPqPYGbsPTZaGjs1aMfyz/vSZOgK9INCuUQuKFxK37+tN6nD25CX6f/4VgiAwakI/9u2ORaPOolWHZs8kS7MGjTh+/jQfDemBIAhMHTaWnw/8Yhijd58tBgA83N0Z2qk3/WOMOa+hRc5bO5fZ/cbR472PGbcqmu1HjTmvp33Oc0kcPMV/nxVNmjTh5ImTdO78OQgCEyZOYNeu3cZ81YEWLVvSrWt33N3dCaoc5DBfucI2bzapz5mTcfTuPAwBgTETItm76yAadRZtOj773vomTRpz8sQpPu/cFUEQmDAxit27dqNWa+jQsT0tW7age9ceFjrZ3xLVtO4bHL94hk9G9QEEJg38kp2H9xrs+474TWRiaNykEadOnKZrZ4PvRU0cy+5dv6BRq2nfsR0tWr5Dj659cHeXE1Q5iJbvNhflebNJA06fPE/PzkMAGDNhKL/sOoBGnUXbji15p0UT+nYbjru7O4FBFWj+rn3Oa1bPmMeH9UQApgwZw8+HjHm8Rdtn1qnZ6405cfYUn/TrZsgPo6P4+VdDzgupWp1tu36kVmgE3SL7APBph49o9kZjO54mtRpyMuE8n08eZBin7iPYfWI/aq2GDo3eY9iHfeg3ezSCXqDN680p9koROw5XjZMr8lXTRk04ceokn3b/3BDX4yawc48xrqtVZ9tPxrju18tglw8+pmlj+3FqUrMBJxPP8fmUwQgITOg2nN0nD6DO0tCh0bsGu8z5AkEQTHEmBlfY1xUc4LrYlvDy4SYIgvD/LYQY1Go1mzdv5tGjR/To0YOCBQs+N4dUWFMcUmFNBzxSYU2HkAprikMqrOkYUmFNcUiFNcUhFdZ0DKmwpgMOqbDmC6HplPIv7bv2j7nx0r7rH1uHRqFQ0L17/gdoJUiQIEGCBAkSJEiQ8L+N/4lrmyVIkCBBggQJEiRIkPDfxD/2DY0ECRIkSJAgQYIECRJch5d9WP9l4R97hkaCBAkSJEiQIEGCBAmuQ7Np5V/ad+374sZL+67/9BuajF+dP+Tl91Yl7s456BRHqaGGW1OcPdBf3q+B0xcLgOFygX/SAWTNyTtOcfjUNVzp6woeZ+0CBtvonjh58NLfUNhLf8s5eWQBBVEfvekUB4Di9XJOH8728VbwROPc4VgAf5+iLjlsDjh9uFXRIMBlh9ZzfnfuILN7cT+n7QLGiyR+c+6iDgB56QIuiUlnLw0Bw8UhmQeuO8Xh28RwDayzFyZ4vqJEneX8oXWFtx+Z+685xeHbtKLTfgcG38t+6NxFBx6FDXVBsh84yVPE1+mLBcBwuYCrfEZz2sk4qFMG7UXxG0+fB15hJVxyoYqrLihwdm5SvG4oG+DsBVDKRuVdlsf/DXjZBS9fFv6jakmQIEGCBAkSJEiQIOF/Af/pNzQSJEiQIEGCBAkSJEgwQKxA738B/zMLmiPxp1i5exNymZzW9d6mXQPromCPM9MZs2Ym2mwdRQsUIurTSLw97SsHe1UsjF/d8qAXUCfcQx0v/upVGVEGmdKTjFjrLQF6vZ4F0zdwPfU2Hh7uDBnbhdJli9v9/dwpa/DzV9J94PsOdQqtEMHwDmPoPKuj1eeNQ9+iX6tIcnNz2HpsC98d3ST693q9nokLZpJ8LRVPD08mRX5JudJlrfposrLoPnogk4eOoWJAeYeyHL54khU7NiKXy2nT4G3av2FdAO5RRjpjVk4nS6elaMHCjO8yDB8va/vq9XqmrptHyq2reHh4EtVtGAHFS5u/I+44y37cgLtMRps3WtChkX3hPFdwuMo2er2eyTOmciU1BU8PTyZ8NY6Asubq8bt+2c2GzZuQyWRUDgriq1FfmgrQ2sky30KWoQ5kGTWQycOeMk4XTrD8543IZXLaNnxHdJy+XDHNGAeFGd/Vepz0ej1Tp0wlJSUFD09PoqLGERBg1mnfvn2sWrUaN9zo0LE97duLF+zU6/XMmDqb1JQ0PDw8+CpqNGUDypjaD+w7xJpVG3Bzc6Ndh9a0bd/KIc/klXO4cuMqnh4eTOgzkoCSZaz6aLRZ9Jo0lAl9R1GxdDlRjqkb5pNy+xqe7h6M6zLU2mcunGD5TxuQy+W0bdic9m/aFzd0lW30ej2T5kznytVUgz4jx1KujHmsd+7bw/rvNiOXyalcKZCxQ0c79Jn87HLo7DGWfr8WuUxOuyYt6djMsX0nzpthlMeTicPHiPpejxEDmDTiK4dx4LKYzJPF05OJwxzIMnIAk4aLy5KHI5dOsmKXIQ5a13+H9g2tC+Y9ykxnzKoZaI35KqrzUHxtZJkcPc0c21+OtY7tvXvYsGUTMrmMyoFBfDXiC4fjNHXKdFJSUvH09GBc1FgCAsw67du3n9Wr1uIGtO/Ynvbt2z5Fp03I5YY5zqFOxtiO6hxpp5OrfG/SrOmkpBriYOIXYwmw4Nm1dw/rv92ETCancmAQY4fb85g40owco204frXgqCTOkcczcXE0V66n4enhwcRBX1CulIjPfDWISYO/pGLZ8k+xr3M+M3WtMQ7cPYnqYRMH54+z7IcNuMuNcdDYcRxMWRnDlZtpeHp4Mr7PCAJKWMf2sq2G2G7bWDy29Xo9k5bM4sp1Q1xPGPgF5UrZ5M2sLHqMG8ykgV84tIter2fKqhiu3LyKp7sH43vbyHLuuEEWuZy2jVrSsel7DnmmblxgzsGfR9rn4HzmLVO/iydZsdPQr02Dt2n/us38lml8DsnWGua3LsPw8RR5DnHBHCfh5eN/YstZTm4Oc7YuZ+GAySwfMoPtx3bz4In1HtsVuzfT/NVGrIyMpkqZSmyN3W1PJHOjQKNAHm69yINv41DUKIVM4Wndx11GwRbVUIaXtv974PihOLJ12cxdPYZuAzuyPOYbuz47tx7iRtpv+erU/Z1+TO48C08PL+uvl7sz+oPxdI/5iM+iO9DpjU8p4i9e2Xzf8cNodTq2zPuaod37MXP5PKv2yylJfDasN7fv5b//Nzsnh9nfLGVx5FRWjohm25HdPEi3se/PG2lepzGrRs2hakAgW4/ssuM5eP4Y2mwd68YtZPD7PZizeanVd8zatISlI2bw9ZcxbD20kweP7fdJu4LDVbY5cOggWq2OjavWMWTAIKLnzjG1ZWVlsWDJYr5eupwNq9aSmZnJ4aNHxGU5ZpRlvlGWZTayXEnis6HPOk7LWBI5ja9HzmLrkV1247R8xwZavNaEVaPmUCWgElsP77RqP3jgIFqdjnXr1zF48CDmzDbrlJuby7x581m2bCnr1q9l7Zp1PHr0SFSWQwePotXqWLVuGQMG92HunIVWPAvnLWXxsrmsWreU9Ws38fjRY1GeA2eOotXp2Dh1CUM+6U30ukVW7QlXk+kybiC37991aJeDccfQZetYN2Y+gzp2Z843y6xttmUpS4ZN5+tRs9l6eKedzVxpm/1HD6HV6di0ZDWRvQcSvSjG1JalzWLByiWsnreMjUtWkaHK5NDxo89tl+ycHGauWciyr2azZsJ8vt+3gwePxPfV7489jE6nY/PCVQzt2Z+ZS2x9L5HOQ3px665j33NVTO4/ZiFLj/7MXCoiS2T+sgBk5+Yw+/tlLBo4lRVDo9keax8HK3ZupHntRnw9fDZVylZi21HrfHXgsDG2V65lSP+BRM+3GKesLBYsW8zXi5exYcUaQ2zHio/TwQOH0Ol0rFu/mkGDBzJntpknNzeX+fMWsnTZYtauX826Net45CAOsnNzmL11OYsGTWFF5Ey2x4rk4F2baF67MV8Pm2XUyXqOc5Xv7T9yCJ1Oy8YVa4jsa2MbbRbzly9m1cJlbFy+2mCbY/Y8Jo7la4jsM5DoBSIcC5axcdlqMlXiHAD7Txwx+MzsFQzt0o+ZKxdYtV9OTaLzqL7cupf/fOsKnzl47pghP0QtZPAHPZizySYONi5h6agZfD0mhq0HHcfBgTOxaLN1bJiyhMEf92LWusVWPNFrF7FszGxWT5jP1v07ePDYPrb3nzxiGOtZK4j8vC/Rq+bb2eXzL/px+yl2OXA2Fq1Ox4ZJiw2yrF9iLcu6hSz7charo+Y5lAXgYNxxQw7+ch6DOnRnznfLrXieNm+BcYy+W8riwVNZOTyabUfzeQ4Zkc9ziIvmuH8yZLKX999L1etlfdGCBQvsPluzZg0ADx8+5LPPPkOv1/8t3339/m3KFi2Fv8IPD3cPwioFcyEtwarPhasJ1KteC4D61V/l9JULdjzuhRTkPNYgaHNAL6D7LR3P0gWs+rjJZWgS75NxSvywW8KFVF6tFwJAtRqVSE26YdWeeCmNpMtXadn+zXx1uv3nDQYu6WH3ecUSQdz64wZP1Olk52ZzLvU0tYJeE+U4f/kiDV+tC0B4tRpcTkm2atdl61gQNZMK+fxqBXD9/i3KFiuFv9Jg3/CgYOJSravKX0hLoH7IqwA0CHmV00lxdjxxKfE0qFEbgNDA6iRcv2L+jrs3KVu8tOk7IoJCOJ8S/7dwuMo25y/G0bB+fQDCaoSSmJRoavP09GT912vw8fYBICc3Fy8vL3GehIs0rG2UpboDWcY/wzjdsx6niMCnjFON2pyyGae4uDgaGHUKDQ0lIcGsk1wuZ/v2bfj5+ZH+OB1BEFAoxA9JXoy7RP0GBr+sERpCUkKyFc+32zfg6+dLevoTEAR8FD7itkmKp2GEgSescjCJV69Yteuys5k3YjIVSgeI/blBp9QE6ocYfaZSdRJvpJja7GwWFEKcA59xhW3Ox1+g4Wv1DPoE1yDhSpKpzdPDkw2LV+HjbfhFMTc3Fy9PBz6Tj12u/XaTgBKlKeDrh4eHBxFVa3Au+ZI4z+ULNKxtlKe6tTxgsO/8idH5vg1xWUzGP4MsE/KXBeDGvVuG+SAvX1UKIS7NJg6uJlC/ujEOgmtzKtk6Ds5fvEDDesbYDgklMdkmtpevtoltmx++8mwTd4H69Q06hYbWIDHBrJNcLmfb9u/w8/M1+gwoHMTBjXvWc1x4YDBxV+3nuPrGOa5B8Kv2OrnI9+IuXqDBa3m2qUGCpW08PNlgYZvc3Bw8Pe1tE3fpAg3q5sOx7OkcAOcTL9KwliF3hlUNISHN1md0zP9qOhXL2r+5tYQrfCYuJZ4Goc8YB5VDOH/FQZ5JvkSD8DoGnWxi+/pvNylbojT+vkaeKqGcT7KPbYNdXjPbJdV2Tslm3pfTqFgmf7vEJcebZQkKJvFafrLU4HyyA53SLpvmndBK1fLPwSLzlqmf5RgFBtuPUVoC9YPzxsjBc4iL5jgJLx8vfcvZxo0b0el0FClShMTERJKTkzl37hw9evTg6NGjPHz4kJs3bxIWFkZycjKenp6ULVuWu3fvotFo6Nev33N/pypLja+P2emUXj5kZqns+3grAVB4+5Cpsb/JRubpbljMGCFk5yLzsjahoM1Be/MRPtVLiMqiVmlQ+ponJZlMRm5OLnJ3OQ8fPGbD8h8ZN2sAR349k69Oe8/vonThMnaf+/r4kaEx31qjylLh5+MvypGpVuGnNL8Ul8tk5OTm4C436FQzOCxfGUzfoVHj66M0/VspYr9MjcrUR+GtELWvLY9cJicnNxd3udw4hhbf4eNDptr+NhxXcIBrbKNSqfC14JDJ5OTk5ODu7o5MJqNI4cIAbPxmM2q1mnqv1RWXRfUUWUKecZxs9Fd4K8hQ28SBhf2UIuOkUqnw9bOQRW7WCcDd3Z39+/Yzbdp0Xn+9oelzO1lUKpS+Zllkcpkdz4H9h5k5bQ4NX6/nmEejwldhwWNjm4iqNfI3Sh6Hlc/IzD6jsbWZDxkivpunk7O2UdmMtUwms/aZQkaf2boFtUZD/driP1bkZxeV2rpN6a0gUy2uU6baxoflz+97roxJZ2UByLSLA/t8ZSmXwkuk/Vlj+9sthtiuIx7b9j5jHwf79x1g+rQZNMwnnjKzVKb5y6HMljp5i8yBLvK9THUmfr424yTG852RR8Q2mapMa1legMMgi8g4WfpM9ZfoMxq1VdxZxYFNm9LHh0yNgziw6WsZ25kaFX42PLY5HkClVuOnyM8uoY6NYSWLCl8fG5+xlMWiTemjIMNBbNvnCJnDHCE2b4H9/Cb6HJL1DM8hLprj/slw+28eoXn5W84ePXpE165duX37NmXLlqVq1arExcVx/fp19u/fD0DHjh05deoUr7zyCg8fPkSpVOLj48P9+893beHiHWvpNXcUQ5dNQGVxJZ9Kq7EKQjBM6mqtBgB1lgY/i8Dwq1+Bwu+HU6htDdw8zc7r5iFHb7HAeRYolD6o1VmmfwuCgNxdDsDRfWdIf5zJ2EFz+WbNLg7uOcXeHbHPxZ+pyUDpbRnUSjLU4tee+iqUqDRmu+gFvSmhPQsWbV9Dz+gRRC6MsrZvlsYqWQL4+ihRZ+XZ1zrxmGT1UaAy9jHLIzfqobD+Do3GasJzJQc4bxsApVKJSm3DYZH89Ho9s+bO4eSpk8TMnIWbgyzjq3R2nFbTY+ZwhiyIsnqIUWeprSY/MNhPbbSRKkttN45KpRKVykIWvd4uoTdt1pS9v/5CdnY2O3b8LCqTUqlEbcEj6AU7niZN32TX3u1kZ2ezc8cecR4fW9sIzz9OFr5p5jD6jI+1z6hFfNtSJ2dtY+szgiDY+Uz0orkcP3OKuZNmOvSZ/OyiVCht4tV+nPNgiAOzzwj6F7GvK2PyxWVZ/OMaes0ZwdAl461sIzamSm+FOV9pNVYPZpA3TmZZbMdar9cza34MJ0+fJGZ6tONxsokDvUgcNG3WhF9+3U12djY/77DeArr4p7X0ihnJ0KXWc5xBZpvYtpvjxHRy3vd8Fb5WtrGNbb1eT/SCGE6cOUXMVHEeX+UzcCw0ckzJTxZbn3m+3OlSn7GNA73eOs9obOLAUUz6KFA7iG1fH+WzzZMK6+8TXmB+y/s+dZb43GQvi+M8Y5h3HORgb9scbD1vxcTE0HP2CCIXiTyH2IyBr7fNc4hC5DnERXOchJePl7agycjIYPHixfj5+bFhwwbKly9PoUKFOHv2LE2aNKFLly4EBATw+++/4+bmRr169Xjy5AnFixcnLS2N3NxcNBrN07/IAv1afc7yITPYO20Tt/+8R7oqg+ycbOLSLhNaoapV37CK1TmWYHgrcjzxLOGBIWbZj1/n4XcXuL/0GO4FfXDzdgeZG55lCqK793w1EqqHBXLmmOG1a1L8VcoHms/atP3wLRZtiCJ6+Sg+6NKSxs1f4+1WDZ+L/9r9VMoVq0ABRUE85B7UrlyXuGvnRPvWDA7lyOnjAFxIiqdy+cDn+q7+7bqwYkQ0v87+htt/3CVd9YTsnGzOp8QTWrGaVd+wStWJjT8NwLHLZ6kZFGLHFx4UQuylUwBcSkskqEwFU1uFUuW49ftvpGcav+PKJUIrVf9bOMB52wBEhIVz9JhhQXox/hJBlaw5Jk6djFanY96sGNP2CYeynDLKkhhP5QrPO05dWTlyFvvmGMcp0zxOYTb6hwUGExtviINj8WeIsBmn8IhwYmMNOl26dImgILMsmZmZdO/WHZ1Oh0wmw8fHB5mD21TCwmtwLPYkAPGXLlMpqKIFj4pe3QfY8IinqoiqIRw9b+C5mJJAUEBF0X75ITwwmNh4o89cTSSwtIXPlAyw9hkRm5l4XGCbiJAwjpw01Ku6mBBPUEXrsR4/aypanZYFU2ebtv+IIT+7VCxdjlv37pCe8YTs7GzOJV4krHKwOE9IGEeNvncxMZ6gipUcfqcjuCom7WSp8Hyy9GvTheVDo9k7cwu3/7xrmg/Op9rnq/BKwcQmGPNVwhkiAq3jICI0nKPHjeN0WSS2p09Bq9Myb+acfGM7PCKM2FgDz6VL8QTa+UwvK59xs4mDfq0/Z3nkTPbO2Gyj02V7nSpWJ/ayMbYTzhIRaD3mLvO90DCOnsizTbydbSbMmIJOp2P+9NkObRNR4ykcM6eg0+bPARBRPZSjZ04YeJIvE1T+/89nwiuHEHvBIg7KPiUOAh3kmSo1OBpn4DHEtgVPXmwbec4licd2RLVQjpy1sEu5549rgywhHI0z5pnUBILKmvNMhdLluHXfQpbkSw7zjCEHG2x36WoSgaXLm3lKBnDrD8c5ODIykhXDovl11jfGMXricIzCKlUn9nLeGJ2lZqDIc4iL5rh/MmQyt5f238uEmyAIwkv9xpcIy8Kaebec6QWB1nXfotObrUhXZTB50zyie37FwyePGL9+DiqtmoLKAkzpMhIfL2+7wpqmW87c3FBfvof64m+4ebtT8K2qPNph3q/pU70E7oUUZMResyqsabrlLO02CDA0qhtpyTfJUmfRsn0j09/v3RHL7Rv3rG45sy2sWbpwGWb3WsKH01rxXp12KLwUfHt0o+mWM5mbjK2xW9h0aI2VXfIKa+bd5HXlehqCIDB12FgS066g1qjp9G47U//Ow/syftAoq73ptoU182450wt62jR8hw8atyZd9YSJa+cyu984Hj55xLhV0aizNBT09Wdqzy/w8fK2Kqxpug3p9jUQBCb0GEnSzVTUWRo6Nn7PdBuSoNfT5o3mfNisrcHWFoU1X5QjjyevsKazttE9UZtuOUtJTUVAYNK4CSQlJ6NWqwmuXp0PO39CzfAI06+Ln374MU0bNwGsC2vm3XJmkmW4A1mG9WX8YBtZbApr5t0WI+j1tGnYnA+atCY98wkT18Ywu38UD9MN46TKUlPQrwDTeo7Gx8vHVFjTdANMaqrBvhMnkJRk0Kljxw58//1Wftj+A+7u7gRVDmL06FHIjb+0WRbWNN9ydhUQGDfhS5KTrqBWa2jfsQ3bvv+Rn374GXd3dwKDKjFidKSJx7KwZt5tXik3ryIIMKn/aJKupaDO0vD+W61NeneNGsTYXsNMt5xZFtbMu+Us9fZ1BAQmdBtO8s001FkaOjR613TLmSAIBt9u2sbEa1lY01nb5PyeYbppKuVqGgICk0dHkZiSjFqjJqRKdTr1+oxaoRGmLQOfdvyIZm8Y8otlYc2n2SXvljO9Xk+7Ji35qLn5ph7Lwpp5N4vlyTNl5DgSU5NRazR0es/se59H9iEqcrSV7+UV1nQ2JvMKa5pkuWaIA4eyDO1D1BAbWWwKa+bdWKXXC7Sp/zadGrUmXZXBpA0xzOptyFdRa2eZ8tWUbqMp2sLwcKR7pDLdcpaSloogCEz6ajxJVwzjFFy1Oh92/dQQ2xhj+4OPaNrIGNsWhTXzbjlLTTXoNGFiFMlGn+nQsT1bv9/GD9t/NPnMqNEjTD5jW1gz75YzvWDUyTjHTdowl1m9xxp0WjfbrFPXURRtWd1UWNNZ38srrGm+ocwQB5PGRJGUkoxarSG4WjU+6PYZtcIiTPtePu30Ic3ebGJVWNPEcdWC44phrIOrVuOD7jYc7xs4wLqwZt4tZynX0xCAKUPGkHj1isFnWpj97PPR/YjqP9LqNi/bwprO+Izm9B2LW86uAQITeo4k6YYxDpq8Z7rlTBCMcfCWRRxYFNbMu+Us5dZVg+/1G03i9RQ0WRo6NmttuuVMrxdo17glHzY3x0ZeYc28W85Sbhj8bvLgMSReTUGdpaZTc/P3dvmiP+P6jbCyi2VhzbxbzlJuXjPMcX1GkXg91ShLK9MtZ3pBoF2jFnz4joUsFoU18245S71z3RAHXYeRfMuYg998V3TeAvvCmnm3nOkFPW3qWzyHrJvL7L7G55DV0ai1xueQ7sbnEIvCms7m8X8D3pv7/D/8vSh+HuJc8d/nwf/MguZFYbugeRFYLmicge2C5kWRt6BxBrYLmheF5YLmRWG5oHGWx1m7gHlB4wwsFzROyWKzoHlR5C1onIHlgsYZWC5oXhSWCxpnYLmgcQZ5CxpnYLmgcQaWCxpnkLegcQaWCxqnZLFZ0LwI8qq+6x6Jnzd6VlguaJyB7YLmReDbtKLTfgfWC5oXheWCxikeiwWNM7Bd0LwI8nxGc9rJOLBY0DiDvAWNM7Bc0Dgli8WC5kVhu6B5UVguaJzBv2VB02r+y1vQ7Bj08hY0/xPXNkuQIEGCBAkSJEiQIOG/iX/f9QwSJEiQIEGCBAkSJEh4bvwbz/08C/7TW84kSJAgQYIECRIkSJBgQJuFL3YJxIvgxwHOH/14VkhbziRIkCBBggQJEiRIkPCvxX96y5mrLgXIOnfXKQ7vWoaD/FlZWU/p+RQeb2+XHVp39nKB5BV3ebDhvNOyFPm0Jj9eHecUR5tKEwHYc3OqUzzNy33J7cz8C5o+C8r61karfr4rxm3hZawI/vjHpKf0zB8F21Tjicb5g+L+PsU5cGeOUxxNygzlwoPvnJYlvMj7ZGicO9jq52MozOdsjvB7qxJbkoY5xQHwYbXZLrkA4smeVKdl8W8e5HQsgSGenD38rvD2c1nOuzH2J6c4yk8y3Kzkistd7qvFK6Y/D0ooarD31nSnON4OGM2mxCFOy/Jx9bnsuDbeKY5WFQ1/74rc6aqc9/uKE05xFO9ZD4Css785xeP9ammyE/5wigPAI7iY0zwewcVc9myVneTcJTEe1YoCuORyjK7rn62YaH5Y/dklpzleBmT/0cqa0hsaCRIkSJAgQYIECRIk/Gvxn35DY4m8OjRymZzW9d6mXYPmVu2PM9MZs2Ym2mwdRQsUIurTSLw9rYuH6fV6pqyeS8rNq3h6eBDVcwQBJcyFMQ+dO87y7euQy+S0bdSCDk3es5NDr9czZcoUUlJS8PT0JCoqioCAAFP7vn37WLVqFQAdO3akffv2dhx5PBMXzCT5WiqeHp5MivyScqXLWvXRZGXRffRAJg8dY1WTwRahFSIY3mEMnWd1tPo8r55Nbm4OW49t4bujmxxyxKacY/WRbchlct4Lf5PWNZuK9vvm1C7+ykynb9OPRHQS2L7oHPeuP8bdQ0bHwbUpUsrP1H475SE7VlwAAfxe8ebDEXXx8JTbcXy34CR3rz3C3UPGh5H1KVra39R+88oDflh2BkEA/1d8+Gz063YcBh4986ev4WrKLTw83Rk2tgely5aw6zdn8tf4+SvpOehDUY4pU6dyJSUFT08Pxo+zHutdu3ezYdNG5DIZlYMqM+bLLx0WkDyaeJqv932LXCanVe2mtH3tbdF+m4/+xF8Zj+nfsrOoPDOmziE15SoeHh58FTWSsgFlTO0H9h1izapNuLlBuw6tadtezH8Ftsw7yp2rD3H3lPPpsDcpVrqAqX3fd5c4vjsZ34KG2Pk48g1KlC0oKsvXs3ZwM+0+Hp5yeo9uR4kyhU3tP285xsEd5/B/xXANZs8RbShVrqgoz/Sps0hNScXDw5OxUV9Y6bR/30HWrloPbm6079CGtu1b23GAq/KDwM5l8dy/8QR3dxmtB4RRuKS5EvVvqY/ZsyoREPAt6EX7yAgR/zXUHDLF9VAHcT1qIJOH5R/XRy6fYuWeLbjLZbR67S3a1bfX6at1s9BmaylSoDBRHw8W1cnZeMqrtZKSkoqnpwfjosYSEGDWad++/axetRY3oH3H9rRv31ZUH1fmPJ8qxSnYqDKCXiDz/C0yz1lf3y0v4EORduG4GQ/PPvjpop0sC6Zv4HrqbTw83Bkytgulyxa3+565U9bg56+0qidmyxMzdQVpKTfx9HRnxLi+lAkoadcvetJS/P196T34UxEOgW/nn+C3a3/h7iHn46ENrMbowPeXObEnFd8ChrH9cEh9ipctYMcj6AV2Lkvg9xsZyD1ktO4fQiEb/927OhlBAN9XPGk/JAx30dwpsG3RWe5de4TcQ06nIXWs8vitKw/ZsSIOQRDwe8WHj0fWE/UZV+ROV+S8PBy7Gsfa4z8hl8loWeN1WoU2Eu337blf+EuVTp83OtnrtHoeKbeMzw89hls/P5w/zvLt6w3PD282F31+yOOZtHwOKTfS8PDwYGK/UQSULGPVR6PNouf4SCb2H03FMuX+Fo48uOrZatKy2QZ53D2YOGC0uDxRkUwc4FievFpMcrlBlvYNW1i1P8pMZ8yqGUZZChPVORIfG1nccOOz18ZQ9pUq5OTqWH1yPH9k3Da1163QkubVPkcv5HL06g8cTPnWoW3+qfivXgrwP/GGJic3hzlbl7NwwGSWD5nB9mO7efDE+p76Fbs30/zVRqyMjKZKmUpsjd1tx3PgbCy6bB3rJy5i8Ie9mL1xsaktOyeHWRsWsXR0NKvGzWXrgZ958Nj+LvwDBw6g0+lYv349gwcPZvbs2aa23Nxc5s2bx7Jly1i/fj1r1qzh0aNHojrtO34YrU7HlnlfM7R7P2Yun2fVfjklic+G9eb2vfzvv+/+Tj8md56Fp4eX1efucndGfzCe7jEf8Vl0Bzq98SlF/O0fKMFg3/l71xPzyRcs+nwcP54/wMPMx1Z9tNk6JmxfyLazvzqUJeHEb+Rk5zJgTjNadA3l55UXTG2CIPD9/LN0iqxDv1lNqVyrBI/+sK8HEX/8Fjm6XCLntaRV91r8sPysFcc3Mcf5eFgDhsS0oFrtUvz1u3jNg2OHzqHTZrNgzXh6DPyQpTH2i7mft+43FEh1gAMHD6LVadmwbh2DBw1m1hzzlq2srCwWLl7E18tXsH7tOjIyMzl85IgoT05uDnN3rGJ+j/Es7TOZH07t5WGGtV9kZWuJ2hzD98ft/TYPhw4eRavVsWrdEgYM7s3cOYtMbbm5uSyct4zFy+awat0S1q/dzONHj+04Lh67TrYul5EL29G2x2tsXWq9JeN26p98ProxQ+e0Zuic1qKLGYAzR5LI1uUweXlvPurzDusXWMt9/cpd+o/tQNTCHkQt7CG6mDHodASdVsfqdSsYOLgvMXPm2+i0hMXL5rN63XLWrd0kqpOr8kPyqfvk6PT0nNGQZp2r8cvqRFObIAj8tOgSbQeF0X1aAwJrFiP9T/utNfuOGeN6vjGul9nE9ZUkPhv69LjOyc0hZvtKFvabxLKB09l+/BcePLH2mZW/bOGdWm+yYvBMqpSuyLZje+x4XBFPBw8cQqfTsW79agYNHsic2TGmttzcXObPW8jSZYtZu34169as45HIGIHrch4yNwq1COH3tSe5v+oYfq+WQ+5rnf9eaVqVjFPXub/qOI+PpPLKW9ZV248fiiNbl83c1WPoNrAjy2O+sfuanVsPcSMt/61GsQdPo9Nls2TdVHoN+pTFc9ba9fnp+71cS3VcL+nSsZtk63IZNv89WnevxfZlp63ab6c95LORrzN4dgsGz24hupgBSD71OznZerrPqEezzyqzd3WyqU0QBHYsvkybgTXoNq0ugRFFeSzivwAJJ+6Qo8tlYMzbvNs1jB0r4qx4vp9/mg+GvsaA2W9R9dWSonncVbnTFTkPDPG08OBmZr8/nPkffsGOi4d5qLLuq83WMWnnMrbHHRDlOHDO+PwwYSGDP+jJ7I1LTG2G54fFLB09k1VjY9h6cKfo8wPA/tNH0WVr2Th9KZGf9iF6zSKr9stpyXz+1QBu/+54q7wrOMB1uXP/qaPodDo2zlhGZOc+RK9eaC/Pl/25fd9xPGXn5jB763IWDZrCisiZbI/dzYN0G1l2baJ57cZ8PWwWVcpWYttRe1lqlm2Ch9yLKXs+47u4eXxYa7hV+wc1hxG9rydTfunMO9U6o/D0s+OQ8P+D/4kFzfX7tylbtBT+Cj883D0IqxTMhbQEqz4XriZQr3otAOpXf5XTVy7Y8cRdiad+aB0AQoOqk3Atxfwdd29Stnhp/H0N3xFRpQbnk+33U8bFxVG/fn0DR2goCQlmOeRyOdu3b8fPz4/Hjx8jCAIKhXihpvOXL9Lw1boAhFerweWUZKt2XbaOBVEzqWBR4VcMt/+8wcAlPew+r1giiFt/3OCJOp3s3GzOpZ6mVtBrohw3HvxGmULF8ffxxUPuTmhAFS7espZHm6OjeegbdG7Y1qEsNxL+pEotw6+T5aoW4U6q+QHsz98yUPp5EvtDCktGHkCToaNYGX87jmuX/6Daq4ZfvcpXK8rtlAemtj/uPEHh78Xh7YnMH7YHdYbO4eR++cIVatc37KmtXiOQlETrAmuJl1JJik/jvfZNHOoTFxdHg/oNAAgLDSUx0TzWnp6erF+zFh8fw1mZ3NwcvLw8RXmu/3GHMoVL4q/wNfhv+WpcuJ5o1UeXnU2LWo3o2rSjKAfAxbh46jcwjGGN0GCSEq6Y2uRyOd9uX4+vny/p6U9AEPAxnuOxxNX4+1SvbfhVvGL14ty8Yr0H+lbqA37ZFMeswT+yZ1Oc3d/n4cqlm4TVDQKgckhZriZbT1TXrtzlh/VHGNd3OdvXHXbIcyHuIvVMOoWQlGD2O7lcznfbNxl1Sneok6vyw62kvwisaVh4la3yCnfTHpvaHt5V4ePnwckd11g15jiaDB1FSvvacZxPuEjD2sa4ru4grsc/Pa6v379NmSJmnwmvWJ0LV210upZIvWp5OtXidIq9Tq6Ip7i4C9SvbzhLEBpag8QE87kwuVzOtu3f4efnS/rjdAQBFCJjBK7LeR5F/cj5S4U+KxtyBbJu/YVXuUJWff7ak4D6iuEchpvMDSEn16o94UIqr9YLAaBajUqkJt2wak+8lEbS5au0bP9mvrJcikumTv1wAIJDK3Ml0foswOWLV0iIT6V1x7ccclxL+IPqtQ1jVKF6MW7ZFE68nfKQX7dcImbITvZudrzH/1bSIwIjigBQpsor3L1qLmj68K4KhZ8nJ3fcYM2Yk2gys0X9F+C6ZR6vVoTbqeaHyj9/y0Dh58WRH66weMQ+1Bla0TzuqtzpipwHcPOve5QuWAw/byUecndqlAni0p0Uqz663GzeCW5A57rib1birlymflhtwPj8cN0si+n5QWl8fqgcwvkr4mMVl3SJBhEGncKqBJNw1T4O5o2aQoXSAWJ/7jIOcOGzVdIlGtTMkyeEhDQReUZPzVeeG/esZQkPDCbONuddTaC+UZYGwa9yKtl+jgoqFkH8XcM5uWsPLlG+sPWPGXcep+Dj6YeH3As3Nzf+jfcEy2RuL+2/l6qXswTJycnMmzePBQsWsHfv3mf+uwULFrBgwQJyc3NZvnw5K1asYP78+eTm5ub7Ny8CVZYaXx/zwkDp5UNmlsq+j7fh9brC24dMjf2vRiqNGj+F+RW8XCYjxyhvplqNr0WbQw6VCj8/84peLpeTk5Nj+re7uzv79u2jU6dO1KpVC3d38V2BmWoVfkrzhGKQxcxTMziMksXst0DYYu/5XeTkZtt97uvjR4bGfKBXlaXCz8d+4gFQaTUovcz2VXj6kKm1rrrr7+PLa5XyP3SXpc7GW+Fh+rdM5kZurh4AdbqWG0kPqfdeIL2mNiLt4h+kXrA/+JmlzsZbaeZwk8lMHKonWm4k/knDVlXpP+NtUuLuccVBxWN1pgalr1knmUxGrvGh5uGfj1i7bBsDR3XJV59MlQpfX/MYySzGWiaTUbiwYYvVps2bUas11KtbT5TH4JsW9vXyIVNjY1+FL3UrR+Qrj0qlQulr9lGZXGbnewf2H+bjTl2JqBUm6nsadTY+Sk8rjjz7AtRqXImPI19nyKz3uHr5PvEnxCtBq1VaFErzq36Z3GxfgPrNatBjRGvGze/GlUs3OXcsWYwGlUrt0MZmnQ7xUafPiagVLqqTq/KDVp3j2H+f6Lh95RG1W5Tn8wl1uXbpIdcuPrDjyFQ9Ja5Dni2uDTrZ5CNRnQx6K7wUdj4FroknlUqFr5+FTiJ+t3/fAT7o9BE1a0X87TlP5uVuWMwYIWhzkHl7WPXRq3WgF3AvouSV5sE8PnjFql2t0qD0NT/8WuWHB4/ZsPxHBoyy3x5mCwOPRZ6Ry8ixyDNrln1L5Gj7H5wskaXS4W0ZkxZ+B1CzcQU+GFyfgdHNuXr5dy6fFH+rrNXk4KWwHGs39Cb/zTb6bwCfTajD9UsPuXbJ3n/B3mcs5VGla7mR9ID67wbRe1oTUi/8TmrcfTsOl+VOF+Q8EJnjPLxRaa3fUPl5K6lTPkT078H4/OBj+fwgNz8/aGzi1UdBpto+x4AxDhQWtrGNg2qhlCySfxy4ggNclzsN8liMk5g8RZ+iU5bK9D2QN0+KyOJjIUuWvSw+Hr5odOY3zXpBj8zNvCXyzuM0olpuYUqr7Vy8cwRNtnMXn0hwHZw+Q/PLL78wePBgACIiInj99ddZtWoVAQEB/PHHHyiVSq5fv05gYCAqlYqsrCyrvbCnT5+mTp06hIeHc/bsWU6fPs3Zs2dp164dp0+f5u7du2i1Who1avTcsi3esZYLVxNJu3udkPJVTJ+rtBp8fax/XVJ6K1BrNXh7eqHO0lglHlMfHwWqLPOkrxf0uMsNju6rUKDWmBOcOktjlTBMHEolKpU5iPR6vV0SbdasGU2aNGHs2LHs2LGDtm3b2vH4KpSoNLayuO5IVKYmA6VFclB6K8lQp1v1WX7wGy7dvkLa77cILh1o+lyt0+DnZW+/p8Fb4YFWY/GgoReQyw1rboW/F0VK+lI8wPALcOVaJfgt9S+CwouLcJgToSCYOZR+XhQp5UeJcgUBqPpqKe6kPqRKhP2edYWvD2qVxoJHj9zdMNZH9p3myeMMvhwczaMH6WRl6QgoX4p3Wr9hxeGrVKJWOx5rvV7PnLlzuXnzJnNmzcLN5uaRmJgYTu89Stq9mwQHVDZ9rtZqrCa/Z4VSqUStMvuMoBfsfK9J0zdp1Ph1Joybxs4dv9C6bUurdp98xkgQBJq2r4GPcftOyGsB3E57QI169vudFUovstRaax6jfQVB4N1O9VH4GhY8EfWrcCPlHrUaVBXRSWGjk308NWnaiEaN32D8uMns3LGb1m0Nv6DGxMRwet8xl+UHL4W7je9hso2PnyeFSigpVtbwY0ZgzaLcvfqYimFFrDh8lc7F9ZKd67lwLYG0uzcILmfWSUxmK520alGdXBFPtn6nF/G7ps2a0LhJI8aNHc/PO3bSpq39WSdnc17BplXxLlcIj+L+aO+Y3/662SxwTLpXKEyhVqE8+P48OQ+sH3wUSh/UavOtlYJg9t+j+86Q/jiTsYPm8tfDdLRZOsqWL8nbrRrafYcdj16Pu5Hn4K/HSX+cwaiBU/jr4WNDnqlQmhatG1vLqfS0jknBOiYbtw82/QgR/FoZ7qQ9JKSu9dkjAC8fd3RZ1mMty8u/fh4UKqGgqNF/K0UU4d7VJ1QMLWLHY+czFjlC6e9FkVK+lChnyONVXy3JnbS/CIqwPp/obO7Mg7M5b0XsVuLvpHD1wR2ql6ho+lydnYWvl/juCUcwPD+Y5xS93uL5wUeB2uLZQq1Riz4/gH0cCHrhued+Zzlc/WxlJ4/w7PLExMRwZv8xUn+7Tkh58xyh1j4l52Vp8POxt7EmOxNvD/PYuiFDLxgWnmUKBhFW+g1Gbm9BVo6aXg2m8WrAW5y95Xgr/T8RMrf/5uYsp7WyTA69evVi27ZtlChRglOnTqFQKHjw4AEKhYL3338fPz8/ChUqxLVr5tfqeXU9dTodbm5upl9P9Ho9giBQoEAB/Pz8uHXL8R5iR+jX6nOWD5nB3mmbuP3nPdJVGWTnZBOXdpnQCtYPR2EVq3MswXBl7/HEs4QH2v/SElElhNgLpwC4lJpIUFlzgqtQqhy37t8hPfMJ2TnZnEu6SGhQdXuOiAhiY2MNHJcuERQUZGrLzMykW7du6HQ6ZDIZPj4+Dg+J1wwO5cjp4wBcSIqncvlA0X4vimv3UylXrAIFFAXxkHtQu3Jd4q6ds+rTq/EHLOw8jp+HLuXOo995oskkOzeHizeTCSkT5IDZMcpXL0LyWcMvvDeTH1CivHn7SqESSrRZOTy4a/g15EbCnxQvZ7+9pUJwMRJPG/bQ30j6k1LlXzG1FS7pi1aTw5+/PTHoePkP08OYLYLDKnP6mOEgcGJ8GhUCzQ8A7T56hyUbJzNn+Vd82KUVTZrXs1vMAISHh3PUONYXL10iKNDaJhMnT0Kn0zIvJsa0fcISkZGRLOkzhd3j1nD7wT3S1Ub/vZ5ADYuH1WdFWHgIx2JPAhB/KYFKQWb/zcxU0av7QAvf8xZ9XVwxpASXTxli8Vri75SqYN6qk6XSManHd2RpshEEgStxvxFQWfzsS5Ua5Yg7YdiykXL5NgGVzAtTjUrL8M/mk6XWIggCCeeuUbGK+DXjYeGhHIs9YdTpMoFB5oJhBp36OYynyMhIl+aHgKqFSD1nuBL19pVHFCtnfhP7SnEFuqwcHt4zPKTdSvyLYgH2e69rBody5JQxrhPjqVzh+eK677ufsWzgdH6ZvIE7f94163T1MjXK2+hUoRrHEs8adTpHeKVgOz5XxFN4RBixsYYtHJcuxRMYZNYpMzOT7t16WY2R29+U8x7vT+b+quPcnvELHoWVyHw8QO6Gd7nCaG9Zny/yrlCYQi1r8Pvak+jupttxVQ8L5Mwxw9XLSfFXKR9oPtzd9sO3WLQhiujlo/igS0saN39NdDEDUCO8KqdiDdffJ1xKoUKg+ce+jh+/y4pNM5m3ciIfd21Hs+YN7RYzABWDi5FwyjBG1xP/oGQF8xhlqbOZ2nM7WmNMpl64R9mgwnYcAGWrvULqOcMW0jtXHlE8wNZ/c/nL5L+PKFpW/IG7fPWiJJ8xnL24mfSAEhUKmtoKlVCi1Zjz+LXL4nnc2dyZB2dzXs+GHZj/4Rf82Hcedx7/YZ7j7lwhuNTz+V9E5ac9P/xmfn5IviT6/AAQUbUGR88bct7FKwkElaso2i9fWZzkcPmzVdUaHD130ijP5eeSJzIykuWRM9k7YzO3LXLe+dTLhFasZtU3vGJ1Yi8bZDmWcJaIQPucl/rnBUJLvw5AxSKh3Hlsvgpfk52JLjcLXW4WgqAnI+svlF7iO1ckvHw4/ZN+8+bNiYmJwd/fn6CgIL7//ntmzpyJm5sbT548oVixYvz+u2FrUFpaGsWLFzctYgDq1KnDqlWr+PHHH7l69SrTp09n3759/PzzzxQuXJgbN25QuHBhNBqNIxGerqTcncj2PRm46Cv0gkDrum9RrGAR0lUZTN40j+ieX9G9+YeMXz+H7cf3UFBZgCldRtrxNHn1dU7En6Nz1AAEQWBi71HsOrYPdZaGjk1bMezTfvSdPhK9Xk/bRi0oXsj+Ya5JkyacOHGCzp07GzgmTmTXrl2o1Wo6duxIy5Yt6dq1K+7u7lSuXJl3331XVKdmDRpx/PxpPhrSA0EQmDpsLD8f+AW1Rk2nd9u9sK3eq9MOhZeCb49uZMa3E1gZuQmZm4ytsVv447H91oA8+w5861MiN04z/Loe3oii/oV4oslk2o7lTOs09Jm+O7h+GVLifmfRsH0IAnSKrEPcwZtos3Ko26IS7w+uzeaZJxEEgXLVilCtjv1DbmiDAK6cv0vMkF0gwMfDGnD2wDV0mhzqv1uZj4bWZ930IwiCYb958GtlRCSBho1f5fypywzqOgFBEBgR1Yv9u4+j0WTle27GEk2bNOHkyZN89nlnBAEmTZjAzt270KjVVK8ezPYffqBmRE169OoJwCcff0LTJvbc7nJ3hrTqyuCVE9ALelrVbkaxAoVJV2cw9ftFzOg8+pnkadTkDU6dPEu3zn0BGDdhNHt2/YparaF9x9Y0b/EWvboNxN3dncCgSrR41/4mtfCGFUg+d4fogT8gCAKdRzbi9P5UtJpsXn+vOm2612HusB24e8ipElGKkNfE9zzXfrMal86kMbb3MgQB+o5pT+zei2RpdDRrU5sPe7/FhIGr8PCUE1KrEhH1xRdwjZu8yamTZ+jWuRcCAlETxrBn117UajXtO7aleYu36dmtH+7u7gQFVaLFu++I2tcV+aFq3RJcvfgnK0cdQ0Cg7cBwLh3+DV1WDq++U442A8LYOuc8ggBlq75C5Vftt1A0a9CI4+dO89FgY1wPf7G4dpe7M6RdDwYuGYcg6GllqdOW+UR3H0O3tz9g/MYYfjjxCwWV/kzuPMKOxxXx1KRJY06eOMXnnbshCAITJkaxe9ce1Go1HTq2p2XL5nTv2tMwRpWDePfdFnYcJtu4IufpBf7anUDxznXBzY3M87fIzchC5uNB4bbh/Ln5DIVahuAmd6NoB8M2zuwH1pcdNGhck/OnEhnSbQoIMDSqGwf2nCRLnUXL9o2eWZTXm9Th7MmL9Pv8SwQBRk/oz6+7j6JRZ9G6g+NzM5YIbVCO5HN3mTP4ZwQBPhnekLMHrqLV5NDg3Sq06lqL+cP34O4ho3JEKYJfs387A1DtteJcu/CAr0efAAHaDKxB/JG76LJyqPV2AK3712DrHMOPPGWqFKTyq8VEeULqlyEl7j4Lhv4KgsAHQ+ty/uANdJoc6rYMpNOQOmyccRxBMPyIVb1OaTsOV+VOV+Q8MMTTgMYfMvz72ejR0zLkdYr6vcITTSYz9q5mSpuBTx2nJq82NDw/jB+AIMDE3iPZdWw/aq2Gjk3eY9infek7Y5Th+eFN8ecHgKavvcHxi2f55Iu+IAhMGvAFO4/8ijpLw/tvi9/i+Hdw5NnFFbmzad03OH7xDJ+M6gMITBr4JTsP7zXI806bZ5LFQ+7O0A49GbBgDHpBoE39t02yTNowl1m9x9K9xUdErZvND8f2UNDXnyldR9nxnL+1n+CSdRnzzjpwc+Pr42OpW74lXh4+HE7dyqGU7/nynbXk6LP5M+MOsVd/fGZ7/VPwX73lzE2wXF38P0MQBDIzM63OmDgDqbCmOKTCmuKQCms6hlRY0wGPVFjTIaTCmg54pMKaopAKazqGVFjTgSxSYc0Xwkcrqz29k4uwuYdzzzDPg39UHRo3NzeXLWYkSJAgQYIECRIkSJBgxn/1Dc1/82SQBAkSJEiQIEGCBAkS/ifwj3pDI0GCBAkSJEiQIEGChL8HMge3Av7b8Y86QyNBggQJEiRIkCBBgoS/B5+ttr/d7e/Cog4nePLkid3n/v7++Pubb4jbt28fd+/eRaFQ0KZNG+bNm4dWq6VXr14ULSp+QYYt/tNvaNQnxAuIPQ8U9cq65GA2uOaAt+rIDac4AJRvlHf6QH+RT2s6fbEAGC4X2FvM/nal58Hbf0QDkHNFvNDbs8K9ShHuLTjiFAdAyYFv8GRXytM75gP/loa6M1oHhT+fFV4RJbk775BTHAClBjfi1sRdTnEEjGvJ3TkHnZdlaGOXHLIF1xzW/esb5w+CFvoglPQd4sVDnxUFWlVFf9v+iuHnhaxsAa6P3u40T4Xp7VyS8zQn7zgti0/dMi7JeeCaPO7sIWYwHGQ+VW2KUxyvJY3hxpfO39JUfmob7sxwrhZHmVGGW93UR8WL8T4rFK+X+8cdWndFntFddv6iA8+Q4i6xr7N2AYNtXCELgPai+A2szwqvsBIuy+P/BjgqB/J3YO3atSxcuNDu8wEDBjBwoPl2wMTERAYNGsSiRYtwc3Pj4cOH6PX6fK9lt8V/ekEjQYIECRIkSJAgQYKEl4/PP/+cdu3sr9W3fDsDIJebC2vfuXOHhg0bUrp0aU6dOkXTpk2f6bv+JxY0er2eqevmk3L7Kp7uHozrNoyA4ua77w/HnWD5T+uRy+S0fb057RuJ134BOJp4mq/3fYtcJqdV7aa0fU383vrNR3/ir4zH9G/Z+W/hADh88SQrdmxELpfTpsHbtH/Duqr7o4x0xqycTpZOS9GChRnfZRg+Xt52PLEp51h9ZBtymZz3wt+kdU1x5/nm1C7+ykynb9OPRNtDK0QwvMMYOs/qaPV549C36NcqktzcHLYe28J3RzeJ/j1A0berUXHYWwi5en7bdJrfNpwW7fdK3QrUWPIxRyKsf6HU6/VMWjqLK9fT8PTwZMKA0ZQrZV0bQ6PNosfYIUwa9AUVy9hXsc/D8esXWXtmB3I3OS2rN+C9YPvimQDfXdjHX+p0etfvINp+5PJpVu7djLtMTqvX3qJdPetaKI8z0/lq/Sy02TqKFChE1EeDsQx1vV7PlFUxXLlp8N/xvUcQUMKs06Fzx1m2dS1yuZy2jVrSsel7DnXyqlAYv9fKgV5AnXAfdYL4GyBleBlkSk8yjon/kuxTuRj+rweCIJAZdwdVnPXbULm/N4Vbh4LMDdzgr58v28tSsTB+dcsbZbmHOt6BLBFGWWLtZdHr9UxZPY+UW1fx9PAgqsdwAkqYY/vQ+eMs326M7Teb06GJvW1cwZGHo8lnWX3oe+QyGe/VbEKbV5uJ9ttyfCd/ZT6i39ufivMknGblr98gl8tpXbsZbes6yBFHfuJhxiMGvPu5nU4T588g+Woqnh6eTBo2hnKlreuPaLKy6D5qAJOHfUXFgPIOdfKpVoJXmlRF0Atknr1JxpkbVu3yAj4U7VgT5G6AGw+3xdnVbQHn854hjxvGycPDkyi7PH6cZT9uwF0mo80bLeiQTx53Rc5zVR4/cukkK3ZtMox1vbdp39C6Ds+jzHTGrJqBNltH0QKFieociY+nfR4v2CiI0v0aIuTq+XPbRf787oJVu0cRJZVmtsHNQ072n5lc+3KHHYdP1eIUbFLFONa3yDxr/Qu6vIAPRTpE4GaM6wfbL5IjMtbelYrg36Aigl5AHX8X1UXrNxRyP29eaVndwIMbj35JFLXN4QsnWP7zRkPsNXxHdI77csU0k23Gdx2GwobjSPwpVu7ehFxmsG+7Bs2t2h9npjNmzUwjRyGiPo3E28a+er2eSctmk3IjDQ93DyYOGE1ASft5pWdUJBMHjBadV1yVZ/R6PZNXzOHKDQPPhL4jRWXpNWEoE/qNyneOc9a+rrCLK2WZsjKGKzcNc//4Pjbz5NljhnlSJqdt45Z0bNbKoSyuyuMS7LeWOUKlSpVYu3YtZcqUwdfXl/Pnz5OUlMTHH3/8zN/1P3HL2cHzx9Bl61g3dgGD3u/BnC1LTW3ZOTnM3ryEJcNn8PUXc9h6eCcPHv8lypOTm8PcHauY32M8S/tM5odTe3mYYV1hOitbS9TmGL4/vvtv4zDJ/c1SFkdOZeWIaLYd2c2DdGu5V/y8keZ1GrNq1ByqBgSy9Yj9lqGc3Bzm711PzCdfsOjzcfx4/gAPMx9b9dFm65iwfSHbzjreUtD9nX5M7jwLTw8vq8/d5e6M/mA83WM+4rPoDnR641OK+Ivvh3Rzl1FlUmvOdVrBmTZLKPNZXTyL2V/j7VWqAOX6vombh9yubf/JI2h1OjZFLyeycx+iVy2war+cmsTnX/Tj9v38twDk5OawMPYbZrWOZF77EexIOMJDlfV2Hm2Ojsl7V/JDvONtVDm5OcT8uJKFfSaxbMA0tp/Yw4Mn1uO9cu8W3qn1JisGzaBK6YpsO77Hqv3A2Vi0Oh0bJi1m8Me9mLV+iaktOyeH6HULWfblLFZHzWPr/h08eOygRovMjQJvBPJw+yUefH8BRY2SyBSe1n3kMgq+Uw1lWD7bCWVuFHy7Gn9sPM3va07iW7MsMqU1T4HGlck4c5M/1p3iSexVCjapYsdRoFEgD7de5MG3cShqlLKXxV1GwRbVUIbbF94z2eZcLLpsHesnLGTwBz2ZvdHaNrM2LGbp6JmsGhvD1oPise0KDjCM9bw9a5j7+Vcs7jaBH8/uE43t8d/PZ+vpPaIceTwxP33Ngl4TWNZ3CttP/mLnM1nZWsZtmsP3x8W3Ae47dhitTseWBasY2qM/M5fOs2q/fCWRz4b24vbdp2znkrlR+N0a3F91jHvLj+BXpzzy/2PvvOOiPLb//2Yb7LJg74qKYKFbEmtiTaIm1hjTTWLvxqiJ0dhLVFSCvResuYkxiTX2AnYBQVAQe40limxn2ef3xyLLwz6gXrj53W/ufl4vXy/Zmf3smTPnnJl5npk5WrGPl3gzgKfHr3BvWTTpB1Mo0dZ5f3ZRxL2DsTGYMy1EjV/AsPd6M3eTOI7P3riYJaNmsnJMBFsOFdxPhY15RRbHs6zM2bKMhUOnsXz4LLZGS8TxnRtp+0pLVo6YTa0qNfjlqDOfm0JG1dFtuNh7Exd6rKPse3VRlvYU1anQpwkPf0vkwqfrMF5+SNn364lJZG6UfDuIP1cd597yaLxererc12/UJuP4Fe6tiOHJoVRKvCWRz0LmRvHWtXjwYywPNp7BM7SSU3zwfq0GutibPNh0lqcnrlLsdT9n3VitzPlxKYuHf8/Kr2ez5chOJ90s27aedg1bseqbudTyqcGWwztE5dYsK3O3LGPB4Kks+3ImW2N28fBpHv3u2kTbBi1YMTycWpVrsCXaWb/7Tx7FYrGwYeZS+7iyWryF5nzaRT4bM6jAcaWo4syBU0cxWyxs+H4xX37Sj/C1C0XlSWkX+XzcEG7+WXD+vKLQb1HopahkOXA6GnOmhfXTFtvHyahFIv7wtQtZOnYOqyfNK3CcLKo4/t8Mmcztb/v3omjbti2fffYZnTt3pnTp0owbN46RI0dSseKLH234n1jQxF06T5PgVwAI8Qsg+arjfMPVuzeoUrYi3p5eKBVK6voHEZcqnfTs6v1bVC5VAW+NFqVCSWi1OsRfFT9ZsmRm0q5+C75o3e0/xgFw9Z5Y7jD/QOIuiZ+Cx6cl0SSoAQBNgxpw6kKcE8+1h7epXLIc3motSrmCEJ9anLsh3stvtlpoG/I6PZp1zleemw+uMWRxb6fPfcv7c+P+NZ4a0snMyuTspVPU928oyeFZsxyGq4+wphsRMrN4cvIqJRpWF9WRuSsICH+XC9/8IskReyGBZvUaARBaO4ikNHFbLJmZRH77fYFPigCuP75HpWJl8fLwRClXEFzBn8S74qSFFmsmb9VuzCcN2ufDAlf/vEnl0o7+DqseQPyVJFGd+CvJNK5dH4AmdRpwKvWcqDzuYiJNw161t8k/kOQrKQ7+29epUr4S3tps+60VTOxFaftVlNRgfWJEMFvBJmC5k46qYjFRHTeFDOOFe2ScupFvm5SltVj/MiCY7Dzmm49x9ykpqvNkzwWMl7ITuMncEKy2gmW5nY6qUh5Z5DKMyffIOJn/Puu4lPM0Cc32bf8Akq7m0s2d61QpV8nh2zWDiE1x3iddFBwA1x7cpnLJ8nZfUigJqVqb+Ot57M+aSbuw5nzevGu+bbr65y2RzYRWl44R7eu35IvW70lyxJ6Pp9kr9qR+YQHBnE8Vn/uwZGYyf2I41atUy1cOAGVZLzIf6bEZMyFLwHT9Ee7VS4nq/LUjEcPF7D3sMjcEa5Zzm4og7sWlJtI0VxwvsJ/8g4jNJ44XRcwrqjh+7e5NqpSpiLcmO477BRJ3OU98uJxEkwB7fGga2ICTF53juIdvaUw3HpP11ISQaSMj9iZe9cVv5G58v5eHvyeCG6gqeJP5UC8qV5b1wvpIj82U3dfX/sK9Wp6+3pmEIcV+lsNNJnPyawBlKU+sjw05vm2+9QT3ysVFddIPpmK6bD/z6ObmhpDlzOM0Nvs9Z4wLfoWTeca4q/fE+g2tEUh8mrN+G2frt0lAA06lxDvJEnchgab17ONWaC2pccVC5OjpVK/k4/TdHI4iijOxFxJpVjdblpqBJF9OEZVbrJlEfj21QFmgaPRbFHopMlkuJjjGyTx6cR4nQ4i98J+N4y78/SjUgubixYtERkYyf/589uzZ88Lfmz9/PvPnzyczM5OFCxeyePFiVq1a9ULf+3egNxrQahxPq+QyGdasrOwyvahM46Ehw6h34gDQmwxoPRwvOTXuanRGg6iOt0ZLo5p185elCDhy2qR2yO3poUaXR26dUZ9TR+OhcSoH0JuNeLrnkkelRmfOI49aS8MaBR922xO7E2tWptPnWrUXGUZHtnC9SY+XWvr1o8LLHetTR5Zoq96Mwlv86r/29525tugw5nvOt2YA6A16vDwdepHJ5FizrDl/1wsIoUKZcgW2BUBvMaJVOQ6jaVQe6MziDNZeHp684lPwbSFO/e2hRmcS94PebMypo3F3Lrf3ozZXm2Q5bdIZ9XjlKvNUa8gwOG8BAZCpFAgWhy4ESxYyd/GuU8FsxXzjcd6vinncFdjMjr4WLFZkHmIemzETbAKKUp6UaFOH9CPixaBMpbBPeJ5xZOYjy/WCZdEbDXipc/u2PMe3dXl8RKPWoDNI+EARcADozXn6WuWBXsqX/EILblMeHk8Jm/DWaGlUK/8YoTPo8fJ02IU8l80A1AsKpULZ5/uBzF1pn+Bmw2a2IvNQiurYDBawCShLayn5djBP9jlfblAksTNPX+TuJ70pTzxUq9Hl4wdFEfOKKo7rTHq0Hrnsy905judum1T8AJBrVWTpzDl/Z+ktyL2ct6W5yWWE/N4X71erkpFnm6jMXYHNlDs+SPh1dl8rSmsp0S6QJ/vFk2kAN5UCm1kcZ9zc89jMs/hQUkOxVv48ldjamrdPNR4aMvL4Xm6b8JQY4+wcBfuSvS9z6VdinNQZ9Hhpco8refypzvPHlSKLM3nmLHllqVs7mPKlX2CMKwL9FoVeikyWPPM8p3FSI44PeflzfqeI4vh/M2Rubn/bv78ThTpD88cffzBs2DAA6taty2uvvcaqVavw8fHh/v37eHp6cvXqVfz8/NDr9ZhMJnx8HCv106dP07RpU8LCwrh79y5Hjx7lwoUL2Gw2ypYty8OHD3n06BFdunRh3759nDlz5t+S01OtwWByGKRNEFBkH0DyVHuiNzkmqgaTAS+NVvT9Jbs3cO5aMml3rxPoU9NR12wUOWFBiIiI4NSeo4XiAFi4dQ3xaUlcunWFIN/aOZ/rTUYnubVqTwwmIx4qdwx5Asaygz+ScDOFtD9vEFjJ8brfYDHi5f7i8jwPOmMGnrkGbE8PTzIM4q1bfqPfonjD6ngFVCA91vFmQOHpjjXd0Tfu5bwp0ag6muqlYeQbKIurCV76sYjLU+OJPtfEQhBsKOQvbuYrTmwl8U4aVx7dok4535zPDRYTWve8u7Pzx+Kd64i/kkza3Wvi/jYZ8fIQ95OnuxqDObufzEbRoAfP+jG3/TrapFV7os9Vpjc6269X4+qoKhZDWdoTS66FoJtKLpp4PA/FWtbEvUoJlOW8sNx+kotHPBF6BvdqJSnZLohHv57D+sg+eHg1qY6qUjGUZbRY7uaSRflysjyDp1oj8l+bzZbj29o8fm+Q0E1RcCzdt4lzNy6S9ud1Aiv5O+paTKKB8XlYvGs9565ecLIZvdmIl8fL+aRW44k+14Btj3kv7gcl3qyDe7VSqMoXw3zTsfVD5q6wT0bzwMO3NKU6h/HgxzOi8zNFETufwamfBEc/eXpo8viBUbSgg6KJeUUVxxf9vpb4y0lcun2VoGqOOC7l/54eGkd8MBlFDzAqD2uOV70qaGqWRZfg2GIk91SR9dTk9LuC1UZCh2V4N65GjRkdASj+Rm08qpZCWd4b803HAwS7X0v3dcmOITz8KVZ0fsb7tRq4Vy6OsowXlrvpuXjkCGZnHnefEhR/szZ/bU/C+pej7xZuXU3cpSQu3bpKkK9jq6p9bM6jm2z/9FC5o881di/atpb4y8mk3blKUDUHh95sFD0cAin9Ovej1mlceTl/eiZrYWOVnUcsi832crIUhX6fobB6KVJZ1BoMxrzzvPzGSef4UFRx3IX/fyjUGxqFwmG4ffv25ZdffqF8+fKcPHkSjUbDw4cP0Wg0vPfee3h5eVGyZEmuXHE8ibHZHK+Z//zzT86dO0ffvn1zPm/Xrh1arZaYmBj69u1Lw4bSW5WehzC/QKLP2Q+XJ6Ql41fZsY2pegUfbvx5m3TdUzKtmcSmJBLqFyD6fv+2H7O4/zR2jV/DzYd3STdkkGnNJO5qEsFV85wNyAfDhw8vNAfAoC6fs3xUOHvn/MjN+3dI12fLnZpIiK94P3NojQCiE+3tjjl/hnr+QTllfVu+z4Ie49n+1RJuPf6Tp0YdmVlWzl2/SFBlf4oKV+5domrZ6hTTFEcpV/JKzUbEXTkrqpM24w/OdFnCocBJqKuXQlFcjZtSTonGvjzJdSjV/OdTYpqEc6bLEs50WULmEyOJ/TaIuOrWCebImeMAnLt4Hv+qNV5K3t6NuhDZdRRbe87hdvp9npr0ZGZZSbiTSmB53+cTZGNA+09ZOvh7/pi8jlsP75Kuz+7vK0kE55rAAIRWDyDmgn2xfuzCGcJ8xW99wmoFcTTuhL1Nl5Lwr+KQo3qlqty4dyvHfs9eTCC0pvj7Gcev8mhLPPeWH7Pr1l0BMjdUFYuLJh7PQ/rBVO5HneT2nP0oSnjan9TL3PDwKYnllvhNinu1kpR4K4D7G0+JfiPj2FUe/RTPvSUxdlk8smWp/HKyPEPdmkFEx58EIOFSslg3Faty495tkW5C/AOKnKNfmw9Z1HMSO79ewa2/7uX4dvy1ZIKq1ORFMaDdJywZOI3dE9dy65EjRsRfSXaymeehXmAoR04dAyA+OZGa1V/ODx7vucC9ZdHcmLoTZSktMrUS5G54VCuF+YZ4b7uHb2lKdQjhz1UxooUuFE3sfIYw/yCiE7L7KS0Z/9xxvGLVPHE8gZAa4n4qiphXVHF8YMfPWDZ8FntmbuLmgzs58SH20nmnOB7mG0D0+dMAxCSdoa6fw79vRR7mwmfriX3tBzyqlkBezAM3pQzvBj5kxIvPLVQb3xbvV+1bbbP09jctAE/2XuTeihhuTt+NspSno6+rl3J6W+vhW9p+zmbNcae+fnr0Mg82neXOgsPIi2tyfNu9SgnMt8W+7e5TgmKta/HwX3Fk5nnbPqjLF6z4ejb75maPcTrHGBeap09D/QKJTszWTeJp6maPcQM7fMayL2ey5/uN3HyQK/6mnSekep746xtATJKd41jyGcL8gsiLurWDOXo2OwannMe/6ouPBTkcRRCr7LIEcTQ2W5bUpJeWpSj065ClcHopSlnCagVzNM6u33OpSfj75IoPlapy426ucfLCOadxsqji+P8F/DeeoSkKFOoNTdu2bYmIiMDb2xt/f39+/vlnZs2ahZubG0+fPqVs2bL8+ad9v21aWhrlypUjdx7Phg0bsnjxYo4dO4bNZiM4OJhVq1bh7m4/iOiW/bqqWbNmrFy5ktOnT/9bcraq34wTSbF8NnUogiAwqdcodh3fj8Fs5N0W7zDig/4MnDMawSbQ6bW2lC1RWpJHIVfwZYcvGLZiEjbBRodX2lC2WCnSDRlM/3khM3uMfq4sRcEBoFQo+Kp7PwZFjMUm2OjU7C3KlihNuv4pk9f+wJyB4+n9zkeMXxXO1qO7KK71ZnqfbyXlGfLGJwzf8D2CIPB2WAvKeJfkqVHH99uW8X33r15Inrx459UuaNw1/OvoBmb+axIrhm9E5iZjS/Rm7j+RvjNesNpIHb+N+j/2wU3mxu1NpzHfe4qiuJrAiPc490XUc3+3TaPmHI8/zcdf90MQBKYOG8v2w3swGI10b9vpheVXyBUMatadUb9HIAgC7eo0o4y2BE9NesIPrGVK+4EvzPNlp94MWToeQRDo0PANyhYvRbo+g6k/zie85xh6vtmdiRt/4Nfjeyiu9WbqJyNFHK1feY0TiWf4dNwgBASm9P+GHdH7MJqMdGvTgZGfDqL/9FHYBIEuLdpRrmQ+SahsAulHLlOqSwjghiH5Lja9BTd3BcXb1OLxjiTp70nwPNl7gTIfv4Kbmxu6+FtkZZiReSgp2SGYhz/FUuLNANzkMkp1sr+Wz3ykd+JIP5xGqa6h4OaG4fxdbDoLbh4Kir9Rm8fbnG9Fk0KrBs04nniWHhMHIwgwud/X7Iyx+3a3Vu8w4pMBDJj5DTabjc7NpXVTFBxg7+uhbT9jeNQ0bIKNd+q1oqy33be//20JMz58sXxL9hjRk6HLJtpt5tXWOTFi2r8WMOtzZz/OizbNWnAs9iQfDu2FIAhMHzWe7ft32/3gHecrNPOFTeDRjkTK92wKbpBx5jpZT03I1EpKv1uP++tPUrJDCMhllO5uP4eQ+UDHo63xEm0qXNyzx/Gz9JgyBASBSb2/Zufx/RhMRrq1fIeRH/ZnwOzRCDYbnV5vW2A/FTbmFVkclyv46t0+DJ4/Fpsg0KnJm5QtXpp0fQZT1v/A7H7j6NXuQyZEzeHXmN0U13oz7YtvnHgEq43rM/ZRe/mHuMncePDLOTLvZyAv5oHvlLe5NHQL99adpvrEdvab0GwCVyfvJnRHfweJTeCvnecp90VjcHNDd/ZGTl+X6hrGgw2nKfl2EG4Kmf1WOyDzoY5Hv4rP/GETSD+QQpnu9cDNDX3CbWw6M24eCkq2DeDRrwkUa10LN7mMkm/bJ5WZf4m39IB9jBvRvR8Dfxhj79Nm9rE5XfeUyWsjmDNoAn3eto9xvxzZSXGvYnzfR6x3hVzB8K59GLLwO2yCQMdGb+Tod+rGSML7fEevth8wcd1cth7bTXHPYkz7/GsnWVo3ep1j507z8Tf9AYEpQ8aw4/AeDCYj7731YuNKUcWZ1g1f53jCGT4ZMwBBgCmDRrPj6F4MRiPvvdnxhWQpKv0WhV6KTJZXX+NEwhk+/W4ggiAwZeBodkTvzR4nOzKyxyD6TxuJzSbQpWX7/3gcd+Hvh5uQe4XxD4MrsaY0XIk1peFKrJk/XIk18+dxJdaUhiuxpjRciTWl4UqsmT9ciTXzlwVciTVfFv0213t+pSLC0g8KF3dfBv8Tt5y54IILLrjgggsuuOCCC/9M/E8k1nTBBRdccMEFF1xwwYX/dbj9zbeP/V1wvaFxwQUXXHDBBRdccMEFF/7P4h99hsYFF1xwwQUXXHDBBRdcsGPgTw3+tt9a9N6/l27l38E/esuZ/tC1QnN4tqhWZAeQs24V7sCuvHKxIjsg+9vl8YXi6FRjcqEP84P9QH9hLxe4uNyef2HzhRGF4vmgzhzSjYU7XAhQTF0ek8k5B8TLwMPDnhSvKC4XsN7LeH7F50BR3ot7hhe7eSw/lNcEoTM9KbQsWo/ihb7wQ9PYnkX92rjfC8VTbUpHLI+lE7S9DFQlPMn8SzoR5ItCWVJLxh9phZbF6y0/Eh8V/qB4cKlOmIyF9AO1B49/Tiy0LCW6BXN9wvZCcVSd9A4AtqsFJ3t9HmTVSxSZT763tHDXyf7UL5UDt+YWWpZWlb8i/uFPheIIK/0eAGad8Tk1C4a7Vl1kPrmz9PBCcbR/GAGA6eyd59QsGB71KxZ6LAD7eGCIufH8igVA09SnyOJMUcXxws71PFtU4/CdBYXiAGhecXChOVz49/GPXtC44IILLrjgggsuuOCCC3b83flh/i64ztC44IILLrjgggsuuOCCC/9n8T/zhubwuRMs37EBuUxOp6Zv0vW19qLyx7p0xq6YgSnTTJlipZj4+QjUKg9RHZvNxrTVkaTeuIxKqWRC75H4lK+UU34o9hjLtq5DLpPTuXlb3m31jpMcNpuNyZEzSbl8CZVKxeQRY6laqYqojtFkovfXg5ky8jt8fapJtsdmszE9yi6LUqliQs8R+JRzyHI47hhLf1uPQiaj0+vteLfF2xIcAlsXnuXu1ScolDK6DXuF0hW9cspvpj5i2/J4EMCrhAcfjGqEUiWXlKfMm3XwHfEGQpaN2xtPcXv9Kcl6JRpVJ3jxRxypK50/IaR6XUa+O5Yes7uJPm8Z8gYDOwwnK8vKlpjN/HR0Yz56EdixNJF7156iUMjoODiUUhU8c8pvX3rC7lXJgIC2uDtdh9eVbJPNZmPm9AgupaahUqoYO2EUVXwq55Qf2HeYtas24ObmRud3O9C5q3RfT5s2jdTUVFQqFRMmTMDHxyenfNeuXaxfvx65XI6/vz9jx45FJpN+xnDk/ClW7NmEQianQ8M36NL4LVH5E106362bjTnTQuliJZnw4TA8JOx3SsQMUtIuoVIpmTRqHFUrS9jeiIFM+Xo8vlWrSbYpYvpy0lKvoVIpGTV+AJV9KjjVC5+yGG9vLf2GfSrZHpvNxoxps0hNtfvBuAljqOLjkGX/vgOsWRWFG2506daZLl2lk7TZ/WAeqTcvo1IoGe/kB8dZ9nu2T77Wlq4SfgCgrlWO4i1qItgEdLE30J0Vb8uQF1NTuksYbtlPth7+fg7rQ/G2FpvNxtTw70m5lIpKqWLSmHH4VHH09849u1m/eSMyuYyafv58N+pbp/622WxMCZ9BaloqSqWKyd+Ow6dKFRHHuh83IpPJqennz7hRo/O3mcSTrPhjE3KZnI6N3qBLk7ai8ie6dMauDcecaaFMsZJM+PhLSZtZPnsr1y/dRaFSMODbblSo7Eg8vG3TEfZvP413cbuP9fu6K5WqlnXimDY92w+U+fjBhvXIZXL8a/ozdkz+fnD0whlWHfwJuUzOO/Vb0vmVNyTrbY7ZziPdEwa99YlkubpmWYq1qAk2AV3cTYn+9qBUp1DcZDJwg0e/i3NU2Gw2Ji8I5+KVS6iUSqYMH0PVis6+1GvMEKYOH4tvlWqSchSFT7rhRu/XJlKtVG0ysywsOTyWe08d7Wnm14EOIT2xCTYOpvzMnuRN+cgisDnyKLcuP0KhkvPJiOaUrVQsp3zfTwkc23URbXG7jXw0/HXKVyku2aaVs7dxPe0eSpWcfqO7UL5yqZzy7ZtjOLjtLN4lNAD0GdWJilXLOHFMmzGdlNRUVColE8dNEPvS7l2s37gBuVxGTf+ajB09RtJmisInn6HsW4H4jXwTwWrj1saT3Fx3QrJeica+hC35hIOhk53btPoHUq9nzx/6jBLPH84eY9nWKHusatFOcv7wDM8bD55h4+HfePT0MUM6fO4ky/T180i9ecUeNz//Shw344+z7Hf72NS5WVu6Nm9PfiiqOFMUcbxo5nkCG384xK3LD1Eo5fQY1YqylYrnlO/9VxzRO5PxKq4G4JOvWlLep0S++vlvhMztn/ku45/ZqjzIzLIy56clLBo2nRUjw/nl6C4epv8lqrN8+wbavtqSVaPmUtvHjy1HnJMIHjgbjSXTwrpJCxj2fh/mbFjs+A2rldnrF7Fk9CxWjYtgy8EdPHzylxPH/pjDWCwWNi1YxVe9BzFrSaSo/HxKMj2G9+XGnYLPyhyMjcGcaSFq/AKGvdebuZuWiGXZuJglo2ayckwEWw5Jy5J0/DbWzCwGz21Duy9C2L4iPqdMEAR+nneG7sNfZeDs1tSsX57H96X3JbspZNSa0pGz3ZdzutNiKn/aCFVZL6d67hWLUXVAc9yU0ouiXm8NZGqP2aiU7qLPFXIFo9+fSK+ID/k0/F26v/4Jpb2ls/xePHkPq8VGn5nNaNOjDn+sTha16feFCXQeGkqv75viV68s6Q+k92sfPhiNxWxhVdRiBg3rS+TcRTllWVlZLIxcysKlc1kZtYj1azfz5PETJ44DBw5gsVhYt24dw4YNY86cOTllJpOJBQsWsGLFCqKiotDpdBw5Ip3U05plJeK3FSzoP4Wlg79n6/HdPHwq3se/Ys9m3qrfnOVDZ1Krki+/HNvtxLM/+hBmi4WNi1czvO8QwhdFiMrPX0zms6F9uHkn/zNj0QdPYbFYWBz1PX2HfsKiuWud6vz+8x6uXCp4n/ahA4cxWyysWbeSIcMGEjHH4QdZWVnMj1zIoqULWL1uBevWrOexhH7B7geWTAtR4+Yz9L3ezN0s9oM5mxazeORMVn47ly2Hpf0AmRsl2wXx59oT3FsVg1eDqsi1Yhss0bo2GSevcm/VMZ4cuUSJNwKcaA4cPojZbGHDirV8OWgI4fMc+jWZTMxfuoiVi5ayfvkadDodh6OPOnHsP3IIi8XMhuVrGD5wCOHzxRzzli1i1cKlbFi+Gp1ex+EYZw6w28zcrctZMHAKy4bOYOux3Tx8mifm7d5E2wbNWfHlLGpV9mVLzC4nnlNHksi0WJm+fDCfDGjH2nnicyhXUm4zZNz7TF7Yn8kL+zstZgAOHDyAxWxhXVS2H8zN4wcLF7Bi+Yv5QeTONUR+MY7FvSfx2+l9PMoQ+4Ep08yEf0Xy80ln+8+BzI0SbQO5H3WSe6uPoa3vgyxPfxdvVYuMU9f4c81x0o+kUaJNbVH5vmOHMVvMbP5hBV/1HMSsZfNE5edTL/DpqP7cvFvw+cui8MlXqr+BSu7O2F/fZ8PJ2fRoLM6g3qPRN0zZ8TnjfvuADiE98VR5S/Kci7lKpiWLrxd0oXPvhmxZclxUfvPSAz4b3ZKv5nbkq7kdJRczAKePXCDTYmXqsn582P8t1s0X29XVlDsMGvcuExb0ZsKC3k6LGYADhw5iNptZvyaKYUOGMTvCcc7HZDKxYNFCVi5dzrrVUWTodBw+Km0zReGTYB/j6kzpxKluSzjRcQFVejSWHOM8KhbHd2ALZArnMe7Amez5w+SFDPugL3M2OMYU+/xhIUtGh7Nq/A9sObBdOlbxYuOByWJm3Po5/By9Q5LjYFx23Bw7j6HdejH3x6UiWeZsXsLiETNY+c0ce9xMz1+WoogzRRHHi2qeFx99mUyLldEL36Nr3yb8tChaVH7j0gN6fvsGI3/oysgfuv6fW8z8k/EfX9BMnjwZnU7Htm3bOHv2bL71pk+fzqJFixgzZgyPH4ud8/Dhw8yfP5/z589z5szL35hw9e4NqpSpiLenF0qFkjC/QOLSxAec49OSaBJov/mhaWADTl2Ic+KJSzlPk9BXAAjxDyDpaorjN+5cp0q5Sjm/UbdmELEpzplnYxPjafZKYwBCA4JJShFnnbZkZjJvUni+b2ZyZElNpGlwtix+z5HFP4jYVOeDtdeSHlCrvv3petXapbl1yaH3B7cz8PRSEf1rKou/PoAxw0LZytIDoWfNchiuPsKabkTIzOLJyauUaFhdVEfmriAg/F0ufPNLvm26+eAaQxb3dvrct7w/N+5f46khncysTM5eOkV9/4aSHDcu/IVfPfsAWaVWCe6kPckpe3RHj9pLyYltV1g19hjGDAulK2kleeLjEmjc9FUAgkMCuZDk0K9cLufHrVFovbSkpz9FEATUGrUTR1xcHE2aNAEgJCSEpKSknDKVSkVUVBRqtf17WVlZqFQqSVmu/nmTyqUr4K3R2u23egDxV5JEdeKvJNO4dn0AmtRpwKnUc048sQnxNHs12/YCpWzPQuTUcHx9qkrKAZAQd4FXm9QFIDCkJinJ4ozc58+lkJSYSsdu0k/Oc+SNO0eTJo0ACA4JJjnpYk6ZXC7n560/4uWlJf1JOoIgoJHQL0DcpfM0yeUHyVcdB2ev3r1BlbIVRX4QJ+EHyjJeWP/SYzNlQpaA6cZfuFctKarz1+4kDCn2TN1uMjcEa5YTT+y5eJo1tvd3aFAIyRcdi2mVSsW6ZatRe9jbYc3Kwt3dub/jzsXTtNEzjmCSLog51ufiyLJa87eZezepUroC3hp720N9A4i/LGEzdbJtJqABp1LinXgunrtGWMNaANQMqsqVi+IHLVdSbrM16iDf9V/EL1EHJGWJi4ujSdMC/GBtLj+wFuAHD25RuVR5vNV2PwitWpv4a3ls2JpJ+7rN+bzFu5IcAMoyWlF/m2/8hYePuL8f/5GMMfU+8Ky/baLy2KRzNGtg96WwOkGcv3RRVG7JtDB//EyqV87fl6BofLJO+frE3bRPxC/dP0eNMsGi8ut/paBReaGUqwA3BKQvNr2ceI+AV+xvh3wDynE9RZwN/salh/yxMY7Zw35j90bn8fEZUhKuE9rIH4CaQVW4fFG8GLuScodf1x1h/IBlbI06LMkRFx9H0yZNAQgNDiE5WWwz61avzWUzVtzzsZmi8EkAbc1yGK4+zBnjHp+8SslGvqI6MncFQXPe4/yoLdJtSkmkSYh9TAnxDyDpSq5Y9WzM1mbHqlrBxF6Uzlz/IuOBxZrJ2w1a8sUb3aVluZREk6DsuFkjgORrLx83oejiTFHE8aKa56Ul3iXwVbu/+QaU53p2HHiG66n32bXxDDOH/MyuDX/fDV4uPB//8S1n/fv3Z/78+Xh7e3Pz5k3i4uKoUqUKd+7cwWg04ubmhlKpBOwTmb/++gt3d3fmz59Ply5dOHXqFLdv2wPixYsXMRgMNGjwclfO6U0GtGrHtiNPDzU6o/htg86kz6mj8dA4lQPojQa8cvHIZXKsWVko5HJ0RvFvaNQadAZnDp1Bj9bTMYmWyWVYs6wo5PauqBcU+mJtyvN7uWVxaq9ajc7gfIOSyZCJh0bpkEXmRlaWDblchiHdzLULj+g0oB6lK3qxeuJRKvmXxD+snBOPwssd61PHmw6r3ozCW/wat/b3nbm26DDme0/zbdOe2J1UKlXZ6XOt2osMo+NWIL1Jj5daenFlNljzb9NTCzdTHtO+bxClKniyYeppKtYojm9oaScevd6AVuvQoUwuw2q1olDY+0mhUHBw/xFmfR9B09ca53wu5tDj5eV4iieXy3M4ZDIZpUrZt2Fs3LgRg8FA48aNJdukNxnQemhy/tZ4qNGZxLalNxtz6mjcncsB9AY9XrltTyZuU73gMMnfzw2D3oin1iGLXS9ZKBRyHj14zJqlPzJ1zjcc3BtTII9Or0frlccP8uj3wL6DzPg+nGavNZXUL2T7gSa3H8gcfmDUi8o0HhoyJPxa5q6wT26zIZityDyUojo2g8UuV2lP+9P9jc5bKvX6PL4tE/d36ez+3vCvzfb+frWRhF50eGml9SKTyShdMpvjp80YjEaaSHCARMxzV6MzGpzreGTHPHc1OpO4HMBoMKHROnxZJpeRZc1Cnv0EummbUNq+2wS1pzvho6M4E5NMg6bit1d6vR4v7Qv4waaNGIwF+YERz9x+ICGzt1pLQ/8wtscelOSA7P42W3P+tpmtyDzE9mUz2O1BUcqTEm/V4f6mM3iGOLbA6Ax6vDzz2l2uOB74gnG8CHxSrdRisDjio82WhcxNjk2wL7pv/nWJmV1/wWQ1curqHlHd3DAaMlF7Oib0MrksJ3YC1G9ZgxadAvHQqFg6YQ+Jx68T3Nh5oWXQm9F45m8zTdoE81bXhmg83Zn97UbOxlykflPxGzCdTo9Wm78v5djM5k0YjEYaN8rHZorAJwEUXh5kZjhu7LPqTE5jXODMd7my8CDme9K3meqNBrzyiVU6gyFPrHKeo+TwvMB44K3R0qh2Pbad2pePLPo884fccTPPXMZDLRk3c2QpgjhTFHG8qOZ5JoNF5AduueYQAK+08qdF5xDUGhWLxu2g0vGrhDSu7sTz34x/6qUA//EFTdmyZVEqlTx9+pRq1apx48YNateujVqt5urVq5QpU4Z+/fqxcOFC+vXrx9GjRzl+3P6q22YTPxWrUqWK1E/ki4W/riH+chKXbl0hqLojYOpNRrzU4ifzWg9PDCYjHip3DCaxcz2Dp1qD3uSYuNtsNhRye5DWqjUYcjmqwWjAS+P89F+r8USfy4kEm5AzCL4MnGQRHLJ4emjQ55JFbzSKBs1n8NAoMRtzTeRsQo7TarzdKV1BSzkf+x7qmvXLc/vSX6IFjd/otyjesDpeARVIj3VsMVJ4umNNd8jmXs6bEo2qo6leGka+gbK4muClH5PYb8MLtVVnzMDTI3eg8iTDID1ouGsUmI2OyYogkNMmtZeKkuU9KVvFPrnyq1eGO5efSC5oPD016PUOHQo2wWlS3bL16zRv2YxJ479n57Y/6NC5fR4OT/R6R1/bbDYRh81mIyIiguvXrzNnzhyn7L0RERGc2htN2t1rBPo4rmc1mIx4eYj709NdjcGcbb9mo2jhnVNH44nekKtNgnObngeNpxqDwdG3gs2GInuicnDvMdKfZPDNkGn89egxJpMFn+qVaNexlROP1tMzj35tTrK0atOSFq2aM3HcZHZs20nHzh2c25TH72yC4PADtafIRwwmZ58s37MJynLemG853k665VngPINH9VKU7BDCw59jnc7PQHZ/Gwru77kLIrl+4zoRM8IlszVrPbUim8lrdzabjTkLIrl+8wYR389y4li0PYr4K8mk3blKUNVaOZ/rzUbRYA/2OPE8m1FrPDAZzLl+X8iZmAqCwNvvN8NTa3/CXa9Jba6m3nFa0LyQH/yQ7Qeznf1gyd5NnLt+gcv3bhBQ2S/n8/xkzg/FW9XC3ackynJeWG4/yflc5q4g02R1qu9erRSl3gni4S/xWB+J+9sex3Pbne3fi+NF4JPGTB1qpUMPbm6ynMWMT8la1PNpwaBNrTBlGhjSajaNfNty4orzljx1AeOBIAi07hqMOntrXlBDH26mPZRc0Gg83UU2I+S1me5NchbJdZvU4lrqXacFjVbriSG3zQgSvhT5A9dvXGfurNn5Zj4vrE/W/LYdJRr54hVQgSe5zlkptB5Y0x0LHPfy3pRo5Gsf40a9hbKEhrDl4vOD9jE7r81kzx80GgzG3LHK6BSrFu9cZ/ftFxgPngdPtX2+45Ald9wUyyklS1HHmcLE8YiICE4fOFZk8zwPjQqzoQA/eDcMTbYfhDSqxo1LD/7PLWj+qfhbztC4u7vTuHFjnj59Srly5UhLSyMrKwtjtgPLZDIyMjJYvHgxe/bsITAwkIcPH7J9u3i/drFixYiPj3/h3x3U+XOWjwhn7+wfufngDun6p2RaM4m9lEiIbx1R3dAaAUSftz91jUk6Qz2/ICe+ujWDiI4/CUDCpWT8qzheOVevWJUb926TrrP/xtmLCYT4O++zrxsUytGTxwA4l5yIf/UaL9ye3AjzDyI6IVuWtGT8KzscqnrFqtz40yFLbEoCITWcZakWUJqLZ+4CcP3iQ8pXcxwALVneE7PJysM79qd515IeUK5qMdH302b8wZkuSzgUOAl19VIoiqtxU8op0diXJ2eu59Qz//mUmCbhnOmyhDNdlpD5xPjCixmAK/cuUbVsdYppiqOUK3mlZiPirkhvX/SpXZJLZ+2viG+mPKZsVceT4RLlNFhMVh7dtQ9wN5L/oqyP8z5ogNCwYI5F2/WbmJBEDX+HfnU6Pf16DcVisSCTyVCrPeyHh/Ogbt26REfb998mJCTg7+8vKp8yZQpms5kffvghZ/tEbgwfPpylg7/nj8nruPXwLun6DDKtmcRdSSK4mngCEFo9gJgL9tffxy6cIcw30Fme4FCOnLS/OTmXlIh/dT+nOs9DcFhtTkbHApCUkEp1P8eEpttHb7N8YziRKybz0RddaNO2meRiBiC0bggx0XY/SExIxM/fIYtOp6NPz/45+vVQqyX1CxDmF0j0ObvfJqQl45fbDyr45PGDREL9xH5wb9Uxbs78A2UpT2RqJcjd8KhaCvMN8bZXj+qlKNk+mD/XnsByR3oxXTckjKPHsvV7PgH/GmL9Tp4xDbPFTOSsuTnbXJw5Qjl6/BlHohPHpJnTsFgszJs5R5Jj4Ds9WDZ0BnumbeBmbptJO09I9Tw241uHmOTTABxLlraZ2iHViD1u306Vev46PjXK55QZ9Ca++mQuRoMZQRA4f/YyNWpVcuKoG/aCfhAh7Qf93/iQxb0ns/PbFdz66x7phuw2XbtAUJUXz8Py5EAKf645zq3wvShKOvrbvWpJzDfF/e1erRQl2wXy57pTkv1dLzCEI6fs9ht/4Tw1q/17cbwofPLivbPU82kOgH/ZUG785diuY7BkYMkyYbGasQk2nhofoXUvJsnjG1Se8yftk/YryX9SsbpjG55Jb2FK758wGTMRBIGUuNv41JQ+x1gruCpxx+0ypJ6/iU8Nx0Mwo97MyE/nYcq2maSzV/Ct5ZyHLCw0jKMxdps5l5iAv5/YZiZPm4LFYiZyToSkzTxDYX0y9ftdnOy0kP11xuPpWxplcQ1uSjklG/vy+PS1nHrme0850uh7TnZayMlOC8l8bCC+zzqxLLWeN3+45Zg/XDjnNH8Y0P7TFx4Pnocwv0CiE7NluZyMX6UC4mZqIqF55g9FHWcKE8eHDx9epPO8GkEVSDx5DYAryfeo5Ou40MKotzCp50ZMRguCIHAx7hZVazqfG/xvh8zN7W/793fib7nlbMiQIQC0aNFC9PnHH3+c8/8xY8aIyiZNmiTJVbv2yzkugFKu4Ktu/RgUORabYKNTk7coW6I06fqnTI76gTkDxtP77Y8YvzqcrdG7KK71Znqvb514WjVoxvHEs/SYOBhBgMn9vmZnzH4MZiPdWr3DiE8GMGDmN9hsNjo3b0e5ks4Bv02zFhw7e5KPhvRCEASmfT2e7ft3YzAa6f5OlxduU6v6zTiRdJYeU4aAIDCp99fsPL4fg8lIt5bvMPLD/gyYPRrBZqPT620lZQlsUpnUuD9ZOGIfggDdh79K3MHrmE1WGrWrwXvDXmHTrBMIgkDVOqWp86p0AkzBaiN1/Dbq/9gHN5kbtzedxnzvKYriagIj3uPcF1Ev3K7ceOfVLmjcNfzr6AZm/msSK4ZvROYmY0v0Zu4/kU6AWbtReS6fe8CKb2IQEOg8JIyEw7exmKw0eKsqnQaHsmVuLIIAVWqXoGYD5y10AC1avcbJE2fo1WMgAgLjJ41m9869GA1GunTrSNt2bejXcygKhQI/f1/ave18ZqRVq1YcP36cHj16IAgCkydPZufOnRgMBgIDA9m6dSv16tWjT58+AHz00Ue0bt3aiUchV/Blp94MWToeQRDo0PANyhYvRbo+g6k/zie85xh6vtmdiRt/4Nfjeyiu9WbqJyOdeNq81pLjZ07y8cCeCILA1NET2L53Nwajge4du75Qn7zWqiFnTiQw8LMxCILA6EmD2LvrKEaDkY7vvvlCHAAtW7Xg5PFTfNGjN4IgMGHyOHbt/AOjwUDXbl1o1/4ten/RH4XCfvNV+7fbSvLY/SCWz6YORRAEJvUaxa7jdp98t8U7jPigPwPnjEawCXR6rS1lSzi/jcMm8NeuJMr1aARubuhib5CVYUKmVlKqcxgPNp2mZPsg3ORulHnXfn4o86HO6ear1i1acvz0CT7p8zmCIDDlu4ns+GMXBqOBwNoB/LLtV+qF1aXXoH4AfPL+h7RuIV7wtW7ekmOnTvJxny8AgSljJ2RzGAmsU4dftv1G/dC69Bzc387R/QPatHBeNCrkCoZ37s2QxeOw2Wx0bPQmZYuXttvMpkjCe39Hrzc/YOL6uWw99gfFPb2Z9tnXTjyvNg/k3OlUxvRdCILAoLHdObonDpPBzBudG/FRv7ZMHLwUpUpBcAM/6jWp48TRqlUrjp/I9gMEJk/K4we/5vGDjz+idStpPxjW7nO+XDMVmyDQoX5LyhYrRbohg+lbFzPzY2f5JWETeLw7ibKfNgQ30MXddPR3xxAe/HiWku0CcZPLKN0lDIDMR+Itu22atOBY7Gk+HN4HQRCYPuI7th/8wx7H23d+MTkoGp88dXUvIZWbMrXTZtzc3Fh46Fua+b2Dh9KTfRd+ZG/yZqZ02oQ1K5N7T29wKEX6HGNYs+pcPHuL8CG/IggCPb5uwan9lzAbM3ntnQA69XqVH0ZsQ6GUU6tuRYIa+kjyvNK8Dgmn0xjXbymCAAPGdiV6zzlMRgttOr3CB/3eYNKQVShVcoLq16Buk1pOHK1btuLEyRN8+kUPBAGmTJjEjl07MRoNBNQJZOtvv1Kvbj1697fbzMcffEzrVs5+UBQ+CfYx7sK433jlp364ydy4teEk5nvpKItrCP7hfWI/X/3cfmrV4DX7/GHCYPt40O8bdsbss4/ZrTsw4pOBDJjxtX3+0EJ6/gAvNh48V5Z6TTmRfJbPpg1DQGBSz5HsOnEAg8nIuy3etsfNud8iCAKdmr0lHTcpujhTFHG8qOZ5dV+rwYWzN5kx+CcQ4LNvWnNyXwpmYyavdwiic+/GzBm+FYVSTp16lQluVO25+nbh74GbIAjSJwT/AShs9liwZ5A1nSn4pprnwaOB/all1i3pJ7svCnnlYhhPFHz72YtA3agyv10eXyiOTjUms6fsqELL8ub9cGr3kV4ovSguLrdnYd58YUSheD6oM4d0o/RC6WVQTF0ek6mQGdI97FsyCpsd2rt9zSLLSn7PcP75FQtAeU0QOtOTQsui9SheZBmmr437vVA81aZ0LLKs5Jl/OZ9zexkoS2qLLIN34qPfCs0TXKoTJmMh/UDtweOfpQ8kvwxKdAvm+oTtz69YAKpOsl+ja7v6+Dk1C4aseoki88n3lr74Gyop/NQvlQO35j6/4nPQqvJXxD/8qVAcYaXfA8Csk7558kXhrlUXmU/uLD28UBztH9pvVTOdvVMoHo/6FQs9FoB9PDDEFHwD5fOgaepTZHGmqOJ4Yed6ni2qcfjOgkJxADSvOLjQHH8HRm5r8rf91uwOx/623/qfuLbZBRdccMEFF1xwwQUXXPhn4n8msaYLLrjgggsuuOCCCy78LyO/5LH/1/GP3nLmggsuuOCCCy644IILLtjx9Y5mf9tvzXo7+vmVigj/6Dc0ugNXC82hbVUdc9zdQnG417Unr8y6Ip1t90Uh9y1ZZGdodl+fXiiOtlXHYE15WGhZFLVKF8nZF6BIzuLkPfz770BZSkvW7UKel6pkv4no8S9Jz6lZMEp0DSyyNumMhbNfrbokZkPh9scDuGvUZN3JP5/Ri0Be0Z7H6MlvF55Ts2AU71SnyM4FFcUZu6I6N5iWfqjQPH7FWhTJuaCnuy8VWhbvtv7cnr2/UByVRtovKijs+QxVCU9sNwvX1wCyKsVYdObT51csAAMbrOOG7kShZfHRNuK+IeX5FQtAWY39cgBLunOekpeBqpim0OdwwH4W5+rorYXiqD7DftGP+Vzhzma6h5YvunMrRXCGRn/kWqFl8Xy9GsZThZvPqF+1560rijNKx++tLBQHQOPyvQrN8Xfg77597O/CP/O9kwsuuOCCCy644IILLrjwP4F/9BsaF1xwwQUXXHDBBRdccMEOmeyf+Ybmf2ZBcyThBMt3bkAuk9OxyVt0bdZOVP5Yl87YVTMxW8yUKV6KCT2+Qq3yENWx2WxMWxVByvXLqBRKJvYbhU/5yjnlh84eY+mWtcjlcjq3aE+31u84yWGz2Zi8MJyUK2molEomf/ktVStWEdUxmkz0HjuUKV+OwbdKNcn22Gw2pkdFknrjMkqligk9R+BTzpHU7nDcMZb+th6FTEan19vxbou3JTgEfpp/gjtXHqNQyvhgeBPKVPLOKb+e8pBfl55GEMC7hJpPR7+GUiWXlGXKktmkXE1DpVQxafBoqlasLKpjNJvoPe5Lpgz9Ft/Kztmln8mzY2ki9649RaGQ0XFwKKUqODL53r70hN2rkgEBbXF3ug6vKykPQEj1uox8dyw9ZncTfd4y5A0GdhhOVpaVLTGb+enoxnxksTFl9gxSL6WiVKmY/O04fCo7+mnnnt2s+9dGZDI5Nf38GTdytNNBO5vNxuTImaRcvoRKqWLyyLFUrSTR16MGM2XUd/j6VJOUBeDohdOs2v8v5DI57zRoTedXnfPeAGyO3sYj3RMGtXXeilJUbZoxPZzUVLv9jpvwLVV8HBz79x1kzap1uLlBl3c706VrR0k5bTYb06ZPJyU1FZVKycTxE/DxceS12LlrF+s3bkAuk1HTvyZjx4yRPMhos9mY/MMzHSuZPOo7aR2PHMSUr8flq+OjyadYuc+u3w6vtKZzQ+mcOpuO/s5fGU8Y1L6HpCwzps0iNfUSKpWKcRPG5NHNAdasisINN7p060yXrp2k2/PMZlQqJo/Ix2a+HsyUkQXbzOFzJ1i+wx7zOjV9k66vtReVP9alM3bFDEyZZsoUK8XEz0dIxrxFMzdx9dJNlColQ8d+SsUqzonk5k1fh5e3J18Mds6dYrPZmBI+g9S0VJTKbLurksfufsxld6Oc7e4Zjpw/yYrdm1HIZXRo+AZdmojzEz3RpfNd1GzMmWZKFyvFhI+G4ZGnTQAevqXxalIdbAL6xDsYEqW3rHjWq4LcU8XTo5ed2jQ1/HtSLqXaY96YcfhUyWW/e3azfvNGZHIZNf38+W7Ut/nb77yZXMyOEVPy6e9e3wxm6gjp/hZsAgdWX+PhDQNypYw2vatTvLyjzfcu6zi64QaCAJ7FlLw1sAYKlbQs82ZEcSX1BkqVkq/G9aRSFec8XRFTV+HlraX30O6SOrPZbMydvoS01KsoVUq+GT+Yyj7O24FnTVmAt7cX/Yd9JskxdeZ0u35VKiaNHS/W7x+77PqVZev3m/zjw7QZueLMuAlint3ZcUaeHWdGS/MAqOuUp0Sr2gg2Ad2Z62TkSqwJIC+mpky3eiB3A9x49EucsywrIki5bh8nJ/bPM384E2OfP8jkdG7Znm5tOkjKAXAk8SQr/thkn880kvaDsWvDMWdaKFOsJBM+/lLkBzabjenr55F68woqhZLxn38lnj/EH2fZ7+vtc5lmbenaXBw7cuPwuRMs37YBuTw7zryeJ85kZMeZ7LnVxM9HoHZ3jjPT12bPZxQqJvTOM5+JPcbSX9ejkGfPZ1pKzWdsTFv9A6nXL6NSKpnQZxQ+5R0ch84eY9nWKLt+W7Tj3VbO8zM7j0BUxB5upj1AoZLTc1RbylUukVO++8fTHNmZgFdxDQCfj3iTCj6lJLlc+HvxP7HlLDPLypyfl7JwyHSWfxXO1uidPEwXnwdYvmMDbV9pwcqRc6hVpQa/HN3pxHPgTDRmi4X1UxYx7KO+zF632PEbVivhUQtYOmY2qydEsmX/Nh4+eeTEsf/4ESwWC5silvPVFwOZtXy+qPx86gV6fD2AG3cLzn1zMDYGc6aFqPELGPZeb+ZuWiKSZfbGxSwZNZOVYyLYcmgHD584n39IPHYDqyWL4ZHt6dCrPr8uO5NTJggCP0Yc46MRTfkyoh11XqnIX39K74fff+IIZouFjeHLGN6jP+Gr8rTp0gU++3YgN+8V3KaLJ+9htdjoM7MZbXrU4Y/VySJ5fl+YQOehofT6vil+9cqS/kB6n3SvtwYytcdsVEp30ecKuYLR70+kV8SHfBr+Lt1f/4TS3tLJy/YfOYTFYmbD8jUMHzCE8HkROWUms4l5yxaxasFSNixbjU6n43DMUWeO6MP2vl6wiq/6DGLW4kixXlKS6fFlX27cKXgfsTXLSuT21UT2msDivlP47dQeHmWIc2GYMs1M+PEHfj6xO1+eomjToYNHMJstrIlazpBhA4mY6+jrrKws5kcuYtHSeayOWs66tRt4/PiJpCwHDh7EbDGzPiqKYUOHMXuuIxeGyWRiwaKFrFy2nHVro8jQ6Th85Ih0m6Ltbdq0cBVf9R3MrEU/iMrPpyTTY1jBOrZmWflh2yrm9Z7Ikv5T+fVkPvrdFMHPx3bly3PowGHMFgtr1q2062aOo7/tulnIoqULWL1uBevWrJfUzf6YXDbTexCzlkjYzPDn20xmlpU5Py1h0bDprBgZzi9HdznHvO0baPtqS1aNmkttHz+2HHGOeccPx2OxZDJn1Wg+H9SFFZE/O9XZ9csRrqfl79siuxs4hPD5uezOlG13C5eyYflqdHppuwN7P0VsXcGCgVNYOmQGW4/9wcOn4n5a8cdm3qrfnOXDZlGrki+/xEj4g8yNYi39efhTHA82n8UztBIyjUpcRyGjRPsAtHUrO38fOHD4IGazhQ0r1vLloDy+ZDIxf+kiVi5ayvrla+y+FC3dpn0xdpvZPD///v70q77cLKC/L599TFamwPuTAmn6fhWObnCckRAEgf0rrvFGX1+6TwigamgxMh6aJXliDsViMWcyb814eg15j6URm5zqbN9ykKtpBdve0YMnMFssLIkKp//QHiycu8qpzm8/7+bKpev5chw4fBCzxcKGVVF8OWgo4ZHi+DB/ySJWLl7G+pVr7TYTLR0fDhw6iNlsZv2aKIYNGcbsCIk4s3Q561Znx5mj0jzI3Cj1djD3VsVwd9kRvF6thlwrHl9KvBnA0+NXuLcsmvSDKZRoGyiW5XQ05kwL66ctts8fohbllGVarYSvXcjSsXNYPWlevvMHsPvB3K3LWTBwCsuGzmDrsd08fJrHt3dvom2D5qz4cha1KvuyJUYctw7GxWDJtBA1dh5Du/Vi7o9LRbLM2byExSNmsPKbOWw5vMMpdojq/riERcOns2JUOL8cKSDOfJN/nDl4NgazxULUhAUMe783czfmmc9sWMySb2aycmwEWw5Kz2cOnInGkmlh3eSFDPugL3M2iPU7e/1ClowOZ9X4H9hyYLskB0Bs9CUyLVmMW/wJ7/VtzuZFB0Xl1y/9Sd8xb/Nt5Id8G/nh/8nFjEzm9rf9+1vb9bwKkydPRqfTsW3bNs6ePZtvve+//56VK1cSERHBwYMH862XH+bPt0+M9u7dy9y5cyXL8v7/RXHt7g2qlKmIt6cXSoWSsBpBxKWJkwTGX06iSUADAJoGvsLJi3FOPHEXE2ka9ioAof6BJF9xHIK8evs6VcpXwltr/426tYKJveicEC426RzN6jeyc9QJIumS+FCyJdPCvHEz8n2LkSNLaiJNg18BIMQvgKSruWS5c50q5SrltLeufxCxqc6yXDl/nzrZST+r1SnDzVTHIf/7t56i8Xbn8NZk5o3YjSHDQrkqxSRlib2QQLN62W2qHURS2sU8bcok8tvvn9umGxf+wq+efYFRpVYJ7qQ9ySl7dEeP2kvJiW1XWDX2GMYMC6UraSV5bj64xpDFvZ0+9y3vz43713hqSCczK5Ozl05R37+hJEfcuXiaNrQnnwoNCibpomNxpVKqWL9sNWoPNQBZWVZUKpUTR+z5eJq90tjOERBMUkrevs5k3uTwAp+yA1y9f4vKpcrjrdaiVCgJrVaH+Gt5uKyZtK/bgs9bvpsvT1G0KT7uHE2a2vs6OCSI5CSHHHK5nJ+3bsLLS0t6ejqCIKDRqKVliYujaZOmdllCQkhOdlx+oFKpWLdmLWq1QxZ3d2dZAGITz9Hs1ew2BQSTlJpHL5ZM5k2ZVaCO7fqtgLcml36vJovqWDIzaVe/BV+07pYPS7ZumjzTTTDJSQ4/sOvmR7tunuSvm9jEF7CZSS9gM3ljnl+gc8xLS6JJ4LOY14BTF5xjXnJ8GvUb2ydmtYN9SbsgnoReSLjMxfNXaNv19XxliTsXT9NGuezuQi67U+WxO6u03QFcvXeTyqUd/RTmG0D8ZfGlGfFXkmlcpz4ATQLqcyo13olHUdIT6xMjgtkKNgHLrSeoKhcX1XGTyzAk3SPjxDVJWWLPxdOs8bM2hZB8UdymdbnaZM3Kyt9+c8WIsIBgzue138xM5k8Mp3o+b+oB7qRkUDXUHpsr+Gv586rj0oInd014eCmI232Pn6dcwKTLokRFaZ9Mik/llSbBAAQE+5GaLL5UJzkhjQuJabzdtWW+sgAkxF2gYZN6AASG1OZisvgw+/lzF0lKTKFjt7ZSXwcgNj7Ood/gEJLz2My6FWsc+rVm4a5yl+SJi88VZ4Il4szqXHHGasU9H9tTlvUi85EemzETsgRM1x/hXl08kf1rRyKGi9mH/2VuCNYssSwXExzzh5qBJF8uaP4QQuyFBElZrt67SZXSFfDW2OuGPtcPGnAqJV4sy6UkmgRlzx9qBJB8zZG08+rdG1QpW1E0f4iTmD/YZRHXDfMPJO6SRJwJyo4zQdJxJi41kaYhLzifqRlEbIqzPHEpiTQJses3xD+ApCupzhyi+Zm0fi8l3CL41eoA+AVW5GqK+EKHayn32L7hBNMGb2D7+sJfqOFC0eG5W8769+/P/Pnz8fb25ubNm8TFxVGlShXu3LmD0WjEzc0NpVKJIAiYTCZu375Nx44dWb9+PRaLhfLly3PixAkqVKiAyWTCYrHQsWNH9u7di9VqpX379uzbt48zZ+xvB1JSUihTpgxPnjxhx44d2Gw20tPT2bBhQ87/XxY6kwGt2rF1SeOhRmcU31Sjz1VH4+5cDqAz6tGqHZNomUyGNcuKQq5AZ9TjlavMU60hw+D8RkNn0KP1zM0hz+EAqBcY+kJt0hvFbZLL5FizslDI5aK22GVRo5OQxWTIxMNTmfO3m0xGVpYNuVyG/qmZa8kP6DaoIWUqebNs3H4q+5eiVvaNbSJZDHq8PB2/59SmgJAXapPZYMVD45BHJnPLkcfw1MLNlMe07xtEqQqebJh6moo1iuMbWtqJZ0/sTiqVcn6yqlV7kWF0ZOjWm/R4qb2d6gHoDDq8tLn6SS7DarWiUCiQyWSULmkfzDb8tBmD0UiTVxtJcOTpa7lMrJegF+xrsxFPD03O3xp3NTqT2D691Voa1gxj+9kD+fIUSZv0erQiDnkOB4BCoeDA/kPM+H42zV5rkvP5y/DIZDJKlbLLsnHTJgwGI40bNc6nTXq0ItvLo+Pg5+tYbzKgzatfo/imJW+NlkY167L9TP43Zen0erRe0vqFbN3sO8iM78Np9lpTSd0Umc3kjQESMU9n0jtinodGMuYZ9CY8tY4JsEzmRpY1C7lCzl8P09m4fDtjwwdwdN8Zp+/m/I6+8HYn1SaNh7Mf5O5LjbvGqR8BZO5ybGZrzt+2zCxk7uK+EMxWzNf/QhPoHO8A9HqJOJ67Tdn2u+FfmzEYDDTOp006gx6vXDzyvPb7Av1tMdpwVzu23rrJ3LBlCcjkbhgzrNxNzaBFj6oUL+/O77NTKVtdg0+Q88Mpvc6Yp69lOX396METopZuZeLsoRzee6pAefR6A1ptLp+Uy7Bas1Ao5Dx88Berlm5i+pwxHNib/3Wu+rzxIT/9/rgJg9FA44b56FdXME9OnNm8CYMx/zgjc1diM2Xm/G0zW5F5KEV1bAYLAMrSWkq+Hcz9qBNowxzbB3VGA1qNdKzSGfV4acRjdoZB+jY9J9+WiFd2P8g1nzHlKTfq88wfZI75g9HZzzIkYoOd5wXijPH5cUafRzei+UyeMk+1Gp3ReT6jNxpEOszdJp1BzCE1B3wGo8GMxtOxQLbHPBtyhf35f8PWdWjduS5qT3fmfbeV+GNphDXxk+T6b4XM7Z+5Oeu5C5qyZcuiVCp5+vQp1apV48aNG9SuXRu1Ws3Vq1cpU6YM/fr1Y+HChQwaNIiZM2ei1Wo5e/Ysr776Kvfv36dUqVJ06NCBU6dOce/ePaKjo+nfvz+//PILMTEx9O3bF5lMxsOHD0lLS8PPz4/t27eTkZHBgAEDWLRoEU+fPs35/4ti0W9riL+cxKXbVwmqVjvnc4PJiJdG/HTf00ODwWTEQ+WOwWwULU6eQav2xJArMNgEW87Ao1V7os9VZncuCQ6NJ/pcjiTYHBwvA0+1Br3JseXKLos8py1iWYyiQfMZPDRKzEbHwC4IAnK53dA9vdwpXdGL8lWLA1C7QUVuXXokuaDx1HiizxVQBeHfa5O7RpFHHnLkUXupKFnek7JVvADwq1eGO5efSC5o8oPOmIGnR+7g60mGQXqBrNVo0Rty95MgmoDabDbmLIzk+s0bREyfhZvENYjOfS28lF4iIiI4+cdRLt+7TkAV/5zPDWYjXrna8aIokjZ5eqLX57HfPBPzVq1b0KLl60wcP4Ud23bRsbPzXmWtpyeGXLLY8vDYbDbm/vAD169fZ+7s2ZKy2Nvkid6Qy/ZeQscRERGc2nOUtLvXCfSpmfO5wWwUDdIvCrtucssioZs2LWnRqjkTx01mx7addOws3idfWJtZ+Gt2zLt1haDqjpinNznHNK2HpyPmmcQD/jNoPD0w6k05f9sEAbnCHmei958lPV3HxC/n8/hROmaThcrVyvPGO03Ev+OpzWMzEna3INvuvne2u8U71hF/JYm0O9cIrFor53ODyYhXnn7y9NBgMD+L4wZRuVdTX9wrF0dZWovlnsPvZUo5mbkWOC8CT09PkS9J2u+CSK7fuE7EjPDn2G8uHuHl+htApZZhMeV6G2CzL2YAPLwUFC/nQanK9oVK1dDi3L9qkFzQeGrVor4WcvX1kX2nePokg7HD5vL4YTomk5kq1SrwVsfXnHk8NRhyXc9u7287z6G9MaQ/ecqoIZP469FjTCYzPtUr075j6zwcYl+yCRL6nf+DXb8zC4gPWk8M+tz6leCJtPPMneXMU+LNOrhXK4WqfDHMNx1blGTuCvvbmjzw8C1Nqc5hPPjxDJkPxZNurVqDwZi7TUIB8wfnMXvR9ijirySTducqQbn8QC8Rr8R+IOEnarvvi2XJnj+oxfMHqfnSwq1riE/LjjO+eeJMnrpadZ44IxFbneYzNptYHmMe3UjMrfLKnXtOpNVoMBgd/FJtega1xh1T9uIUnvmBLOf/b3ZrgCZ7u2Fooxpcv3T//9yC5p+KF1qmubu707hxY54+fUq5cuVIS0sjKysLY7aB5D5E99lnn7FmzRpCQ0PJzMykbNmyTofsGjduzLJly3jw4AHNmjVj5cqVnD59mu3btzNmzBgGDx7M9evXKVmyJGvXriU9PV30/xfFwE6fs+yrcPbM2szNB3dI12eQac0k9lIiIb51RHXDagQSnWR/8hSTdJq6fkFOfGG1gjgaZ3/FeO5SEv5VfHPKqleqyo17t0jXPSXTmsnZiwmE1gx04qgbEMLR08ftHBfO41+9xgu3RySLfxDRCScBSEhLxr9ydYcsFaty48/bObLEpiQQUiPAiaN6YFmSs++Bv3bhARWrOQ6+laqgxWy08uC2Pd/HlfP3cxY3Tm2qE8yRM9ltunge/6r/Xpt8apfk0tn7ANxMeUzZql45ZSXKabCYrDy6ax+cbiT/RVkfL0me/HDl3iWqlq1OMU1xlHIlr9RsRNwV6W2UdUNCOXo8BoBz5xPxryEOWJNmTsNisTBvxpycrQ9OHEGhHD15zM6RnIi/78vpZfjw4SzuO4WdY1dx69E90g12+427mkyQT63nE/wH2hQaFkJMtL2vExPO4+fvaJNOp6dPrwFYLBZkMhkeajVu+eyhDQsL42i0/QntuYQE/P38ReWTp07BYjETGRGRsyVEsk1BoRw9md2ml9Tx8OHDWdx/GrvGr+Hmw7u59JtEcNWX129o3RBiou39nZiQiJ+/Q786nY4+Pfvn0Y1z+HWymZeMD4M6f87yEeHsnf1jdsx7mm/MC60RQPT5ZzHvDPUkYl5AqB+nj9m3kFxMvEK1Go5Dth3fb8W8qLHMWDKCbp+1pflbrzotZuAl7G6mtN0NePtTlg6ZwR9T13MrVxyPu3ye4FwPqgBCq9chJtn+tuhY8lnCajhicEbMFR7+GMvdxUdRFNfg5qEAmRuqysWx3Hm5N/91Q8I4euxZmxKc2jR5xjTMFjORs+bm60tgfyN/5JS9v+OTE6n5b4wHFWp6cS3eLv/dSzpKVXG8bSxW1p1McxZP7tkXKncuZuQsbvIiMNSfkzH2bTjJiWlU93O85e7y4Zss2jCZOcu+5f3P36ZV28aSixmA4LA6HI+290FSwkV8/Rxbjbt91IGVGyOYv2I6H3/RjTfaNndazADUDQ3j6LHs+JAood/vp2K2WIgMjyhQv2GhYRyNycWTN85My44zc6TjzOM9F7i3LJobU3eiLKVFplaC3A2PaqUw3xCfwfDwLU2pDiH8uSoGy+0nzrLUCuZonH3MPpeahL9PrjG7UlVu3M01f7hwzmn+MPCdHiwbOoM90zbY49UzP0g7T0j1PH7gW4eY5NMAHEs+Q5ivmCvML5DoxOz5w+Vk/CrlkqWCj3j+kJpIaJ75w6Aun7N8VDh75/zIzfu54kxqPnEmMTvOnD9DPX+JuVXNIKLjc81nqjxnPuPnPJ+pWysXx6Vk8fysYp752YVzhPg7cwD4BVfi3MkrAKQl3aFydcc5W6Pewnefr8JksCAIAhfirlOtlvPFGf/t+KeeoXmhR0FDhgwBoEWLFqLPP/74Y6c65cuX55tvvpHkqVzZESCDghxGXatWLQYMGCCqO3bs2BcR7YWglCv4qltfBs8fg80m0KnJm5QtXpp0fQZT1kcwu994erX7kAlrZ/Nr9G6Ka72Z1nO0E0/rV17jROIZPh03CAGBKf2/YUf0PowmI93adGDkp4PoP30UNkGgS4t2lCvpfOC8TZPmHIs7xUdf9UEQYNpXY9l+8A8MRiPd23d+4Ta1qt+ME0ln6TFlCAgCk3p/zc7j+zGYjHRr+Q4jP+zPgNmjEWw2Or3eVlKWkKY+pMTeIeLLnSDARyOacubAFSxGK03ersmHXzUhasYRBAGqB5QlsKH0Adk2jZpzPP40H3/dD0EQmDpsLNsP77G3qa3zTU75oXaj8lw+94AV38QgINB5SBgJh29jMVlp8FZVOg0OZcvcWAQBqtQuQc0GLxZI3nm1Cxp3Df86uoGZ/5rEiuEbkbnJ2BK9mftPpBOetW7ekmOnT/Jx3y9AEJgydgI79uzCYDASWKcOv2z/jfqhdek5pD8An3T/gDbNW4n10qwFx86e5KPBvRAQmPb1eLbv323XyztdXlgvCrmCYW9/zperJmMTBDo0aE3ZYqVIN2Qw/ZdFzPxE2t/+E21q2ao5J0+c4osefRCACZPGsmvnHxgNRrp260y7dm/Ru+cAFAoF/v5+tH9bep9861atOHHiBJ9+1gNBgCmTJrFj106MBgMBAYFs/fVX6tWtR+++fQD4+KOPad2qlRNPm9ee6bin3Z++Gc/2fbsxGA107+B841Z++v2ywxcMWzEJm2CjwyttHPr9eSEzezjHAim0bNWCk8dP8UWP3giCwITJ47J1Y6Brty60a/8Wvb/oj0Ihx7+mv6RucmxmSC8E4d+3GXvM68egyLHYBBudmrxF2RKlSdc/ZXLUD8wZMJ7eb3/E+NXhbI3eRXGtN9N7fevE07hFGHEnLzCi10wQBL4c/zmHdp/CaDTRrkv+52Zyo3Xzlhw7dZKP+3wBZNvdH7swGLPtblu23Q3OZXctnPtaIVfwZZfeDFk8HkGw0aHRGzlxfOrmeYT3GkvPN99n4oYIfj3+B8U9vZnaY5SzQDaB9IOXKN2tLgCG83ex6cy4eSgo8WYd/vpd+ryAqE0tWnL89Ak+6fM5giAw5buJ2W0yEFg7gF+2/Uq9sLr0GtTP3qb3P6S1RJvaNGvBsdiTfDjU3t/TR718f/s1KMGNxHT+NTEZQRB4o58vF2Mekmm2EdyqLG36+LJ74WUEoKK/lup1i0vyNG1Zn7Mnkxj2xRQEQWDkhN4c2HUco9H03HMzufF6q0acORHPgM++RhAEvp00jL27DmM0GOn4bv7nZnKjdYtWHD95gk96fWbX7/hJ7Nidrd86Afzye7Z+B/YF4JP3P6J1S2f9tm7ZihMnT/DpF9lxZkJ2nDEaCKgTyNbfsuNM/+w484F0nMEm8GhHIuV7NgU3yDhznaynJmRqJaXfrcf99Scp2SEE5DJKd7efXcl8IH5D0/rV1ziRcIZPvxtob9PA0eyI3ps9f+jIyB6D6D9tJDabQJeW7SXHbLD7wfDOvRmyeBw2m42OjRzzmambIgnv/R293vyAievnsvWY3Q+mffa1iKNVvaacSD7LZ9OGISAwqedIdp04gMFk5N0WbzPig/4MnPstgiDQqZk9dkhBqVDwVfd+DIrIjjPNcsWZtT8wZ+B4er/zEeNXhbP1aHac6eMcZ1rVb8aJ82fpMWkIIDCpz9fsPJY9n2n1DiM/6s+AWaMRhPznM60avMbxxLP0mDAYQRCY3O8bdsbss3O07sCITwYyYMbX2Gw2OuczPwOo/1pNks5cY+rA9QgC9BrdjuN7kzEbLbToGMa7fV5n5pebUajkBNSrSmijf+8BrgtFDzdBEIT/30L8p6A7cPX5lZ4DbavqmOPuForDPXubVtaVwmVal/uWxHiicJl1AdSNKrP7+vRCcbStOgZrysPnV3wOFLVKs/nCiEJxfFBnDgC1+zhfDfoyuLj8DpmPCpfZHEBZSkvW7UJmfa9k3xLy+Jek59QsGCW6BhZZm3TGwtmvVl0Sc66tKP8u3DVqsu48LRSHvKL97NST3y48p2bBKN6pDjrTk0JxAGg9ipN1q5A2U7kY+kPXCi2LZ4tqpKUfKjSPX7EWZP5VONtTltTydPelQsvi3daf27PzP//0Iqg00v4mwfJYeu/9i0JVwhPbzcL1NYCsSjEWnXG+nv1lMLDBOm7oCn+w2UfbiPuGlOdXLABlNfa3opZ053NPLwNVMQ1mXRHEGa2aq6O3Foqj+gz7otR8TvrB2QvLElqejD/Snl/xOfB6yw9DzI3nVywAmqY+6I9cK7Qsnq9Xw3iqcPMZ9av2h6yms9LXrr8oPOpX5Pi9lYXiAGhcvlehOf4OTNwvsWj/T/1W6/zP9RY1/mfy0LjgggsuuOCCCy644ML/MmRu0vn7/q/jn3nVgQsuuOCCCy644IILLrjwPwHXGxoXXHDBBRdccMEFF1z4H0Dei7r+KfhHn6FxwQUXXHDBBRdccMEFF+yYeuitv+23vmvxx9/2W//oNzRPd6Y+v9Jz4N2+ZpEdXCuSw6TXnxSKA0BWtTg3dacLxVFF+wp35x8ptCwVhrxOurFwByaLqcsDFPrwu7KUttAXC4D9cgGDqXCyaDzsd+Q//vn5Ny4VhBLdgovsAPIDQ+H8qYymJn8ZrxValpLqak45Hl4WytJFp997hvPPr/gclNcEkZVWyEtD/EpiOnO70LJ4NKiE3lR4m/H0KIblSSFjXvGii3mFPVTt9Zb96uDC6sbToxgmk+n5FZ8DDw8PTKbCHX738FAX2q/B7ttFdSmA9X7Gc2oWDEVZr0JfygL2i1n+XH68UBzl+tgTdRbFHCIz6X6hOACUgWUxHL9ZKA5N4ypk7L1caFm83qhR6MsFPF+vBlAkPPEPfyoUB0BY6fcKzfF3QO46Q+OCCy644IILLrjgggsuuPDfhX/0G5rcOHL+FCv2bEIhk9Oh4Rt0aSz9ym3j4d949PQxQzp87lRms9mYvjaS1BuXUSpUTOg9Ap9yjkRzh2OPsfTX9SjkMjq93o53W74tyTE1/HtSLqWiUqqYNGYcPlV8csp37tnN+s0bkcll1PTz57tR30rud7TZbEyeP4uLVy6hUqqYMnwMVStVEdUxmkz0Gj2EqV+NxdenmiTHvBlruJx6A6VKwYhxvalUpbxTvblTV+Ll7UmfoR9I6gzg2NVzrD29DbmbnPYBTXknUDpHxU/x+/jLkE6/Ju9KyjNzegSXUtNQKVWMnTCKKj6O3DcH9h1m7aoNuLm50fndDnTu6pyB3mazMWX2DFIvpaJUqZj87Th8Kjv0snPPbtb9ayMymZyafv6MGzm6wP2kIdXrMvLdsfSY3U30ecuQNxjYYThZWVa2xGzmp6MbJWWZPm0GqampqFQqxk8Yh4+PQ5Z9+/azetUa3HCja7cudO2af96JoxfOsOrgT8hlct6p35LOr7whWW9zzHYe6Z4w6K1PJOWZPG8mFy9n28yIsdI2881gpo74Ll+bmTN9MWmpV1GqlIweP4TKPs5vtWZOWYC3t5YBwz6XlNNmsxE+fb6dR6nk2wlfUsXH4UsH9x1l3ap/gRt0frc9Hbu2y5dnyuwZpKZl9/foPP29N1d/18i/v4tKvxHTl5OWeg2VSsmo8QOo7FPBqV74lMV4e2vpN8z5yl2bzcbkReGkXE1DpVQyeei3VK3o3Ee9vxvKlGFj8K1SLV+9TFttj1UqpZIJvUfiU96h30Oxx1i2dR1ymZzOzdvybitnX3rG8/20maSmXkKlUjFuwliRDe/fd4DVq9Zm23BnunTtLMkxdVZ2zFNJxLw/drP+x43IZNkx7+v/XMx7hiOJJ1nxxybkMjkdG71Blybi/ChPdOmMXRuOOdNCmWIlmfDxl+RO41sUennGM23atJwYMWHCBHx8HLrZtWsX69evRy6X4+/vz9ixY510Y+eYns2hdOLYt28fq1atAtzo1u1dunaVzs9UlL49d/qSHJ5vxg+W5Jk1ZQHe3l70H/aZJMeUuTNISbuESqlk0jfjqJrLr3fs2826f21CLpdTs4Yf476S9mubzcbkyJmkZMe8ySOlY17vUYOZMko65j1DzOU41h77HblMRvvg1+gQ0kKy3r/O/sFf+nT6v97dSZbCzh9ydLNsLqnX0lAqlUwe+A0+FcQ54oxmE30mDmfyoNH4Vq4qyTE9ah6pNy+jUigZ3zOPLHHHWfZ7dnx4rS1dW0jLAtm+tGuj3Zcav0mXphK+tGaWw5c+GY6HysOJ5/C5EyzftgG5XE6npm/S9fX2ovLHGemMXTEDk8VMmeKlmPj5CDyLgEPtLpbFZrOxcvY2rqfdQ6mS0290F8pXLpVTvn1zDAe3ncW7hD2BbZ9RnahYVTqnzX8rZDLXG5r/s7BmWYn4bQUL+k9h6eDv2Xp8Nw+fPhbVMVnMjFs/h5+jd+TLc/BsDGaLhagJCxj2fm/mblySU5ZptTJ7w2KWfDOTlWMj2HJwBw+fOG8hOXD4IGazhQ0r1vLloCGEz4twyGAyMX/pIlYuWsr65WvQ6XQcjj4qKcu+Y4cxWyxsjlzJV70GMmtZpKj8fOoFPh3Rj5t383/VHXPoLBZzJvPXTKT3kA9YEuE8Kd++ZT9X0wp+RW3NsrIg+kdmdxxOZNdRbEs6wiO9+JW/2Wph6p4V/Jp4MF+ewwejsZgtrIpazKBhfYmcuyinLCsri4WRS1m4dC4roxaxfu1mnjx+4sSx/8ghLBYzG5avYfiAPPo1m5i3bBGrFixlw7LVdv3GSOsXoNdbA5naYzYqpbvoc4Vcwej3J9Ir4kM+DX+X7q9/Qmlv54B28IBdlqh1axg6bAhz5zhkycrKYl7kfJYsXcTadauJWrOOx48fO3GAXb+RO9cQ+cU4FveexG+n9/EoI4/9ZpqZ8K9Ifj65O9/27IvJtpn5q/iq9yBmLcljMynJfPpVX27eyd9mjh48gcViYWnUbPoP/YwFc1c51fn1511cuXQtXw6AIwePYTFnsjzqBwYO68n8uctyyrKyslgUuYp5S2ewPOoHNqz9mSePpbeQ5PT3sjUM7z+E8PkS/T1/KRuWrkanl+7votJv9MFTWCwWFkd9T9+hn7Bo7lqnOr//vIcrl/LPA7H/+BEsFgub5iznq88HMmvFfFH5+UsX6PHNAG7cLXhr2YGz0VgyLaybtIBh7/dhzobFOWWZViuz1y9iyehZrBqXf6wCOHjgMBaLhbXrVjFk2CAi5jhsxm7DC1m8dCFr1q0kas16Hkv45IHDBzFbLGxYuZYvBw4hPDKfmLfiPx/zwN7fc7cuZ8HAKSwbOoOtx3bz8Km4/ct3b6Jtg+as+HIWtSr7siVmV5HrBeDAgQNYLBbWrVvHsGHDmDNnjkg3CxYsYMWKFURFRaHT6ThyxHmb74EDB7FYzKxbF5XNMVckS2RkJEuXLmXduijWrFmbb5wpKt8+evAEZouFJVHh9B/ag4USPL/9vJsrl67ny7H/6CHMZgsbl6y2+/VCsV/PX76Y1fOWsmHxKjJ0Og4dk7aZ/dH2ftq0YBVf9RnErMXOMa/Hl325UUDMg+wx7uAm5rw3knkffMu2c4d5pH8iqmPOtDBlx1K2xknn3SiK+QPA/lNHsWSa2TBjCcM/6U/4moXiNqVd5LPvBnPzz/xzsxyMjcGSaSFq3HyGvtebuZvFsszZtJjFI2ey8tu5bDmcvyzWLCtztyxjweCpLPtyJltjdjn70q5NtG3QghXDw6lVuQZbonc58WRarcz5cQmLhk9nxahwfjmyi4fpeXi2b6Dtqy1Z9c1cavv4seXIziLnADh95AKZFitTl/Xjw/5vsW6+WN6rKXcYNO5dJizozYQFvf/PLWb+yfifWNBc/fMmlUtXwFujRalQElY9gPgr4oSFFmsmbzdoyRdvdM+HBeJSE2ka8goAIX4BJF117Bm+euc6VcpVwtvTC6VCSd2aQcSmOO/Pjz0XT7PGTQAIDQoh+WJyTplKpWLdstWoPdQAWLOycHdXScoSe/4czRo0AiCsTjDnUy+K25NpYf6EWVTP5wkuwPn4FF5pEgJAQLAfqcniRKTJCZe4kJjGO10LTsJ0/fE9KhUri5eHJ0q5guAK/iTeFSfDs1gzeat2Yz5p0D4fFoiPS6Bx01cBCA4J5EKSQ79yuZwft0ah9dKSnv4UQRBQa9ROHHHn4mna8Jl+g0nKrV+livW59JuVZUWlktYvwM0H1xiyuLfT577l/blx/xpPDelkZmVy9tIp6vs3dJYlLp4mTeyyhIQEk5zkkEUul/PL1p/x8vIi/Uk6giCg0Wgk5bj64BaVS5XHW22339CqtYm/Jk4IabFm0r5ucz5v4fzm6xliz8fT7BX7nu6wgGDOp+bhyMxk/sTwAm0mIS6Zhk3smbCDQmpzMVncz+fPXSQ5MYVO3QrOCH4uLolGTRtk89ThQpKDRy6Xs2nrCrRenqSnZ+Tb1wBxCfE0bVRAfy99fn8XlX4T4i7wahN79vnAkJqkJIv3mZ8/l0JSYiodu0m//QGITT5Hs/p2vw6tHURSWt4+sjDvuxn4VnF+6pobcSnnaRKaHav8XyRWJUjyxMfF06SJ3WbsNuyQRy6Xs2Xrj3h5aXPZsHM/xZ6Lp9mzPgqWiHnL88S8fHyyKGIewNV7N6lSugLeGnv7Q30DiL8sHg/iryTTuI7dzpsENOBUSnyR6wUgLi4uV4wIISnJIYdKpSIqKgq1+pn9Zknar52jqSSHXC5n69ateHl58eQ5caaofDsh7gINm9QDIDCkNheTxWeXzp+7SFJiCh0L4IlNiKdZQ7t+QwODSbro0K9KqWL94lWoPexP1rOysnBXuUvz5Ip5oQHBJKU4x7x5k8MLfDMDcP2vu1QqnmuMq+xPwi3x2SNLViZvBTalRyPpt51FMX8AiLuQQNO69vEmtFYgSZed/SDym2lUr+Qj9XU7x6XzNAl2yJJ81dGWq3dvUKVsRYcs/kHEpUrLcvXeTaqUqejwpRqBxKfl8aXLSTQOyN+X7Dzi3wzzDyTukvhsYnxaEk2C7GNG06AGnLoQV+QcACkJ1wlt5A9AzaAqXL4ofnh0JeUOv647wvgBy9gadVhSL//tkLnJ/7Z/f2u7CvPl8ePHs3fvXgB69+7NrVvOTzkWLFiATmc/wBsREeFU/gz9+/fn+vX8n9gUBnqTAa2HI4hrPNToTOLDqt4aLY1q1yuYx2hAq3G85JTL5FizsiTLPNVqdEbng8t6vR6tpzbnb5lMjtVqzf6/jNKl7K82N/xrMwaDgcavNpKURWfQ45WLRy6TYc2y5vxdLzCUCmXLFdgeg86Ip9ahF5lMRpbV3p5HDx6zdukvDPnm8wI5APQWI1qVY8DWqDzQmcWHVb08PHnFJ7BgHr0BrdahQ5lclqMbAIVCwcH9R/i4e0/q1g9FoXDeMakz6PDSaiU5ZDIZpUtm6/enzRiMRprko1+APbE7sWZlOn2uVXuRYXQcXNWb9HipvSXao0PrlauPJNqzf98B3u/+AfXq15Vsj53fiGdu+3VXozOJs2l7q7U09A/Lty3wAjYT9Hyb0esNYpuRy7Bm28zDB3+xaulGvhrdv0COZzy5+1qeiwdAoZBzaH80PboPIKx+MAqFdGDU6XWiNv07/V1U+jXojfnq5tGDx6xZ+iPDR/cpkENnkIgPufsoIJQKZQruI7DHIy+1dKzSGQ1oc5Vp1Bp0BunD+3q9/gVs+CAfdP84XxvW6/VotS8Y84wGGjf8z8U8yB4PcrXf012NzmhwruNhryNlD0Whl2c8Xl6OzWxyuVg3pbJ1s3HjRvt40LhxPhxaSY5nsuzbt5/u3btTv379AmT5z/i2M8+m5/Lo9XpxHJfl49c/Z/v1K84PlEDCn+QvH/MA9GYjnu65YoTSA73EGPdqtaD8OYpg/vCsTV6aPLrJ3aY6IVQo/Zw47iSLLJcselGZxkNDhjGf+GAyoFU79OLp7jy3EvmShxqdBJc+T0zylKinM+pz6mg8NE7lRcEBYNCb0Xg6tqHJ5I55EUCTNsH0HtWR8fN6kpJwnbMxF504XPj/g0KdoSlTpgxXrlzh4cOHAERGRuLu7s6nn37K77//TqlSpWjfvj379u3D19eXevXqMW7cOIKCgnBzc+Py5cv4+fkREBBA586d+eOPP2jfvj1z5szhk08+Ye/evahUKjp16sTu3bu5d+8eU6ZMeWH5Fu9cR/yVZNLuXiPQp2bO5waTES8PbQHflIanWoM+160yNpsNhVzuKMs1KOqNRlHQyeHw9ESfa/Jgs9lEA4zNZmPugkiu37hOxIxw3NzcJGXRajxFv2cTbCjkL9edGq0ag97RHkGwIc+eOB7Zd4qnTzIYMyycxw/TMZks+FSryFsdHWdjVpzYSuKdNK48ukWdcr45nxssJrTu0k8BC4Knpwa93tEmwSY4Db4tW79O85bNmDT+e3Zu+4MOncVvfLQarUi/eTlsNhtzFkZy/eYNIqbPyle/BUFnzMDTI3fg9CTD4LwlytNTi0Gfu6+d29O6TStatmrB+HET2b5tB506d8wpi4iI4OQfR7h87wYBlf1yPjeYjaLJ6otCq8lje4Lw0jbj6anBYMhlMzYhZ7FxcG80T548ZeSQSfz16DEmk5mq1SvTvmMbSZ7cfW3LxfMMLVo34/WWTZgyfja7tu3jnc7O5960ni/Q34siuX7jBhHTxP1d1PrVeKrz6MaWSzfHSH+SwTdDpmXrxoJP9Uq06yh++2n3a72Y4yX7CAqOVVq1BkOuCbrBaJCMVZAdr55rwy1p2ao5E8ZNYvu2nXTq3MGZ43kxb34k12/+Z2Peou1R9vHgzlWCqtbK+VxvNoomQgCeHhoMZiMeKndJeygKvUjzOOsmIiKC69evM2fOHEndPI8DoE2b1rRq1ZJx48azbds2OnfuLMFTdL6dH8+hvTGkP3nKqFw8PtUr075ja+c2GXKNBYKEXy+ex7Wb1/lhav5x3NmfXi7mLY/eQuKtVC4/vEVA+VxjXObLj3FFMX8AZz942TY9+73cMcA+FjyTxVMkp8HkHB8WbVtL/OVsX6qW15fEdUW+ZBL70sKta4hPS+LSrSsE+dZ28Jic269Ve2IwPeNxLF4iIiI4feBYoThyQ+PpjslgzvlbsAk58yJBEHi7exM0WvuCp26TWlxLvUv9prWdeP6b8U/NQ1PoVrm7u7N3717CwsIICAjAZrOh1Wpxd3cnMzMTX19fbt++zYkTJ2jWrBllypTh/fff588//0Sj0fDee++xZ88e7ty5Q0JCApmZmTRt2pQ///wTd3d3VCoVMpkMLy+vnIXTi2JA+09ZOvh7/pi8jlsP75KuzyDTmknclSSCq728AYbVDCI6/iQACWnJ+FepnlNWvWJVbvx5m3TdUzKtmcSmJBDiF+DEUTckjKPHYgA4dz4B/xp+ovLJM6ZhtpiJnDU3ZxuGFOoFhnDk1DEA4i8kUrOaX75180NgaE1OxZwDIDkxjep+jsOSXT58i8UbpjJ32Xd88HkHWrVtLFrMAPRu1IXIrqPY2nMOt9Pv89SkJzPLSsKdVAJzBf8XRWhYMMei7fpNTEiihr9Dvzqdnn69hmKxWJDJZKjVHrhJOGXdkFCOHn+m30Qn/U6aOQ2LxcK8GXMK1G9BuHLvElXLVqeYpjhKuZJXajYi7spZp3phdUOJjrbLkpCQiJ+/QxadTkevnn3ytEc8KA8fPpzFvSez89sV3PrrHumGbPu9doGgKjV5WdQLDHXYTHIiNavXeGmO4LA6nIg+A8D5hIv4+jm2Pr33UUdWbfyBBSu+55MvuvFG2+aSEx6AkLAAjkefzua5QA3/ajllep2eAb1GPrevAeoGP6e/Z03DYpbu76LWb3BYbU5GxwKQlJBK9Vy66fbR2yzfGE7kisl89EUX2rRt5rSYAagbEMLR0/arYs9dPI9/tZfvI4C6uWPVpWT8qzj8sXrFqty454hVZy8mEOLvHKvAbsMx0XabsduwQx6dTkfvnv1y9ZMamcx5YimKeYkJ+Pv9/4l5A9/pwbKhM9gzbQM3c48HaecJqS4eD0J96xCTbLfPY8lnCPMVv10uCr0A1K1bl+jo6GyeBPz9/UXlU6ZMwWw288MPP+RsPXPmCMuXQ6fT0bNnrzyySPtSUfl2cFgdjmfzJOXh6fZRB1ZujGD+iul8nMPT2omjbnAoR575dVIi/r7ivp4YPh2zxcz86XNytp5J6iYolKMn7f10LjkRf9+X86c+zd5l3gff8tuASG49uc9To47MLCvnbqUQWPHl7K8o5g8AdWsHczQ2O0akJOFf9eXH2jC/QKLPncqRxa9yLlkq+OSRJZHQPLIM7PAZy76cyZ7vN3LzwfN8KYCYpFy+5Od4izWoy+csHxXO3jk/cvP+HdL12b+ZmkiIbx0xT40AohPtMsecP0M9fzvP8OHDC82RG7WCqxJ33L4FL/X8TXxqON52GfVmRn46D5PBjCAIJJ29gm+twqd6cKFoUOhbzl5//XXWrFmDr68vFy5cQBAE7ty5g8ViwZD9hKVixYqkp6cjl8tFT1JkMhkWiwWAnj17UrduXfbu3Uvp0qWpW7cuCQkJKBQKrl+/TmZmJllZWRiNxnwDe76NlCv4slNvhiwdjyAIdGj4BmWLlyJdn8HUH+cT3nPMC/G0qt+ME+fP0mPSEEBgUp+v2XlsPwaTkW6t3mHkR/0ZMGs0gmCj0+ttKVfS+bBY6xYtOX76BJ/0+RxBEJjy3UR2/LELg9FAYO0Aftn2K/XC6tJrUD8APnn/Q1q3cJ74tGnagmOxp/jwy94IgsD0EePYfuAPDEYD3d/O/7as3GjWsgGxJ88z9ItJCILAqAl92b/rGEaj6bnnZnJDIVcwqFl3Rv0egSAItKvTjDLaEjw16Qk/sJYp7Qe+EE+LVq9x8sQZevUYiIDA+Emj2b1zL0aDkS7dOtK2XRv69RyKQqHAz9+Xdm87n0Vo3bwlx06f5OO+X4AgMGXsBHbs2YXBYCSwTh1+2f4b9UPr0nOIfcvDJ90/oE3zF2vrO692QeOu4V9HNzDzX5NYMXwjMjcZW6I3c/+Jcy6dVq1acuL4ST7r8QWCIDBp8gR27bTL8m63rrRv345eX/RGoVDgX9Oft9+WPl+kkCsY1u5zvlwzFZsg0KF+S8oWK0W6IYPpWxcz8+OvX0j+Ns1acCz2JB8O7WW3mVHj2b5/Nwajke7vvJjNvN6qMadPxNP/s1EIgsCYScPYs+sQRoOJTu8WvLc+N5q3asqpE7H06fElAGMnfcUfOw9gNJjo3K09b7VrxYCeI7P7ujpt35buo5z+7penv41GAmvn6u+h2f39nnN/F5V+X2vVkDMnEhj42RgEQWD0pEHs3XUUo8FIx3fffCGONo2bcyzuFB+N6IMATPtyLNsP/WHvo3adX4gDoFWDZhxPPEuPiYMRBJjc72t2xuzHYLbHqhGfDGDAzG+w2Wx0bt5OMlYBtGzVghPHT/J5D7vNTJw8nl07d2fbcBfatW9L7y/6Btll+wABAABJREFUZduwH+3fdr6NrnWLlhw/dYJPemfHvHHZMc9gILBOAL/8/vfFPLD39/DOvRmyeBw2m42Ojd6kbPHS9vFgUyThvb+j15sfMHH9XLYe+4Pint5M+0xsA0WhF4BWrVpx/PhxevTogSAITJ48mZ07d9p1ExjI1q1bqVevHn362LcqfvTRR7Ru3VqC40Q2B0yePCmHo1u3brRv344vvuiJQqGgZk1/3n5b+saqovLt11s14syJeAZ89jWCIPDtpGHs3XU42w9ejKfN6y05fuYkHw/oiSAITP12Atv37sZgNBBUK4BfdvxG/ZC69Bz2zK8/pM3rLZ15mrXg2NmTfDS4FwIC075++ZgHdpsZ3PIDRv48Bxs22ge9RhmvEjw16pi5ZzXTOg15LkdRzB8AWjd8nWPnzvDxtwPsMW/wt+w4sheDych7b3aU/I6kLEmxfDZ1qH1s6jWKXcft8eHdFu8w4oP+DJwzGsEm0Om1tpQtUTpfvQzv2ochC7/DJgh0bPSGw5c2RhLe5zt6tf2AievmsvXYbop7FmPa587xVKlQ8FX3fgyKGItNsNGp2VuULVGadP1TJq/9gTkDx9P7nY8YvyqcrUd3UVzrzfQ+3xY5B8ArzeuQcDqNcf2WIggwYGxXovecw2S00KbTK3zQ7w0mDVmFUiUnqH4N6jap5cTx345/ah4aN0EQhP/fQvyn4EqsKQ1XYk1puBJr5g9XYk1puBJr5g9XYk1puBJrSsOVWDN/uBJrSsOVWPPfww/H/z45v2xceL2+KP5n8tC44IILLrjgggsuuODC/zJceWhccMEFF1xwwQUXXHDBBRf+y+Ba0LjgggsuuOCCCy644IIL/2fxjz5D44ILLrjgggsuuOCCCy7YseDUR3/bbw1+dePf9lv/6DM0hT0oBvbDYkVxcBjArC/cAU53TzWWp4bnV3wOVN4azIZCyqJRF9mlC4U9IOvxLGN0IQ+CyisVK/RhfrAf6C/s5QIXl98BCn+xhXf7mkTI8s9u/6IYbtvC4TsLCsXRvOJgUp7sKbQstYq/yZ3IQ4XiqDisBQCPf0kquOJzUKJrIJb0IvDJYppCDzKDX91I5oUHhZZFWacMlvN/FppHFVQOQ8yNQnFomvpwf+XJQstStldDHm2KLxRHqQ/DADCfK9wlJu6h5TGaCm8zag8N1j8LeYC+nBdmXeHGAgB3rZoM46NCcXip7ckyi+QiiRtPCsUBIPMpzoM1hbs8p8znrwAU+rIOjwaViuxSgKw7TwvFIa/oXWi/Brtv6w9dKxSHZ4tqABhPFPLShUaV+dOQXCgOgHIa6au2Xfh78I9e0LjgggsuuOCCCy644IILdrguBXDBBRdccMEFF1xwwQUXXPgvw//MG5rD506wfNsG5HI5nZq+SdfXxUkMH2ekM3bFDEwWM2WKl2Li5yNQuztnID564QyrDv6EXCbnnfot6fyKc3JHgM0x23mke8Kgtz4RfW6z2Zj2/XRSUlNRqZRMHDcBHx+fnPKdu3exfuMG5DIZNf1rMvbbMZKZnW02G1NnTiflUioqpYpJ343Hp0ounj92sX7TRmQyGTX9/fnuG2cem83GtOm5ZBmfR5ZdeWQZIy0LwJHzp1ixZxMKmZwODd+gS+O3ROVPdOl8t2425kwLpYuVZMKHw/BQifVrs9mYNm0aqampqFQqJkwQy7Nr1y7Wr1+PXC7H39+fsWPHSrZpcuRMUi5fQqVUMXnkWKpWqiKqYzSZ6D1qMFNGfYevTzXJ9thsNqZPm5Ejy/gJ4/DxcfDs27ef1avW4IYbXbt1oWvX/JO0hVSvy8h3x9JjdjfR5y1D3mBgh+FkZVnZErOZn47mv9f0efp9ho2Hf+PR08cM6fC5ZLnvOw1oOO49bNYsklYf4PyKfaJy9xJavkiZz8Pz9i0Fl389Rdy8Hbn0IrDxh0PcuvwQhVJOj1GtKFupeE753n/FEb0zGa/i9uS3n3zVkvI+JZzksNlsLJn1L65euo1SpWDwmI+oWMU5kdyC6ZvwKqbhs0Gd8tWNe/VSeDWsCjYBQ9I9DEl3Jet5hlVG5qkiI+aKU9nRC6dZtf9fdr9u0JrOr+bj19Hb7H7d9lPJNuX4pErFpLESPrk52yf9pH1SsAkcWnuDhzeMyBVutOpdleLlHH7y5xU9RzfcAgQ0xZS82b86CpV0fJiydA6p19JQKpRMHjwanwqVRXWMZhN9Jgxn8uDR+Fau6sSR06blc0m5dhmVUsmkAV9L8vSd9BWTBn4jyWOz2Zi+fh6pN6+gUigZ//lX+JSrlFN+OP44y363+3XnZm3p2lw6wSxATFoca479ilwmo33w63QMdU6mCPCvM7v5S59O/+bvS5ZHp5xl1eGf7f1dtyWd6jtnqwf48fgOHunSGfiGeDugzWZj2ooIUq6noVKqmNh/FD7lHXo5dCaGpVvWIpfJ6dyyPd3adJDkt8eZ6aSmpqJUqZgwYbwo5u3bt49Vq1bjhhvvdutK165dJTmmzJ2RHfOUTPp6HFUrO2LVjn27WffTJuQyOTVr+DHuq9H5jinTZuQZm6pIjE3y7PFgdP5j04zps7mUegmlUsW4Cd9Sxcehm/37DrJ21Tpwc6Pru53o3NU5GaTNZmPqrO8dvjRmXB5f2s36H3P50tff5ivL5HmzuHjFPh5M+WqM5HjQ65shTB0xNt/xACD6Uixrorcil8l5O7Q5HcPysb1Tu3mkf8KAlh84yTJtdSSpN+y+NKH3SHzKO/zgUOwxlm1dZ7eZ5m15t9U7kvw2m40py+bafVupZPLAb6R9e+JwJg+S9m2bzcbkH2bm2MzkUd9Jj5MjBzHl63EFj5NF5NuHz51g+Y4NyGXZc7TX8szRdNlztEwzZYrZ52ieeWWJsutXqVQxoecIsSxxx1j623oUMhmdXm/Huy2kE8zabDbmTl/K5dRrKFVKvh4/iMo+FZzqhU9ZhJe3lv7DeuTbpv9W/FMTa/5PvKHJtFqZ8+MSFg2fzopR4fxyZBcP08VJ7JZv30DbV1uy6pu51PbxY8uRnU481iwrkTvXEPnFOBb3nsRvp/fxKOOxqI4p08yEf0Xy88ndkrIcOHgQs8XM+rVRDBsyjNkRcx3fNZlYsGghK5cuZ92aKDJ0Og4flU5eeeDQQcxmCxtWRfHl4KGE/yDmmb94ESuXLGP9qrXo8uHJkSUqimFDhzF7roQsy5azbm22LEekZbFmWYn4bQUL+k9h6eDv2Xp8Nw+fivWyYs9m3qrfnOVDZ1Krki+/HHPWz4EDB7BYLKxbt45hw4YxZ84csTwLFrBixQqioqLQ6XQckZBnf/RhLBYLmxas4qs+g5i1OFJUfj4lmR5f9uXGnYL33B48cAiLxUzUujUMHTaEuXMicsqysrKYFzmfJUsXsXbdaqLWrOPx48eSPL3eGsjUHrNRKd1FnyvkCka/P5FeER/yafi7dH/9E0p7S2eGfhH9mixmxq2fw8/ROyQ5AGQKOc3nfs4vb03mpxbjCe7zBppyxUV1ytXz5eLmaH5uNYGfW00QLWYA4qMvk2mxMnrhe3Tt24SfFkWLym9cekDPb99g5A9dGflDV8nFDMCJwwlYLJmErxxBj4EdWRW51anO7l+iuX75Tr7tsTfKjWKv+/FoawIPf45HE1wBmUYlriOXUfytOniGSp9rsmZZidy+msheE1jcdwq/ndoj7dc//sDPJ6T9GuDA4YOYLdk+OWgo4ZF5fHLJIlYuXsb6lWvR6XUcjna238tnn2C1CLw3oTZN3q9E9EaHnQqCwIGV12nTtyrdxtWmakgxMh5ZJGXZf/IoFouFDTOXMrxHf8JXi88/nU+7yGdjBnHzXsF7+w+cOmpv0/eL+fKTfoSvXSgqT0q7yOfjhnDzz/z76WBcDJZMC1Fj5zG0Wy/m/rg0pyzTamXO5iUsHjGDld/MYcvhHU6x+RmsWVbmH9jA3O5fM//DsWw7d4hHuieiOuZMC5O3L2Fr7P585bFmWYncvZYfPh3Los8n8tvZfTzKcOaZuGU+W05Ln/k6cDoac6aF9dMWM+yjvsyOWiRqU/jahSwdO4fVk+axZf82Hj6RPl9y8IDdZqLWRTFs2FDmznHYTFZWFpGR81i6dAlR69aydk2UZJzZf/QQZouFjYtXM7zfEMIXOmKVyWxi/orFrI5cyobFq8jQ6zh07Kh0mw4dxGw2s37Nc8am1QWPTYcOHsFitrA6ajlDhg0gYu48UZsWRC5m0dJ5rI5aRtTajTx5/MRZlme+tHItXw4cQnhkrjaZTMxfuoiVi5ayfsUa+/gWLd2mfTGHMVssbJ63kq96DWTW0rzjwQU+/aofN+8WPB5Ys6zM37eeuR+MZsEn3/F73AFp2/t9Eb/E7pXkOHA2GkumhXWTFjDs/T7M2bA4pyzTamX2+kUsGT2LVeMi2HJwBw+fSPvB/lNHsWSa2TBjCcM/6U/4GrFPnk+7yGffDS7QJ/dH28e3TQtX8VXfwcxa9IOYIyWZHsNeYJwsIt/OzLIy56clLBo2nRUjw/nlaAFztFHSc7SDsTGYMy1EjV/AsPd6M3fTEpEsszcuZsmomawcE8GWQ/nr9+jBk1gsmSyOmkm/oZ+ycO5qpzq//fwHVy5dL1A3Lvz9KNSCZvr06SxatIgxY8bkO6EDWLNmDQA9evRg0aJFHDhwgMOHD4vqXLt2je+//55Zs2aRmJiYw71okX2g2LBhA1u3Ok96XgRX792gStmKeHt6oVQoCfMPJO6SOLt3fFoSTYIaANA0qAGnLsQ58zy4ReVS5fFWa1EqlIRWrU38tQuiOhZrJu3rNufzFtIHsePi42japCkAoSEhJCc7DiWrVCrWrV6LWm1/up2VZcVdpZLkiT0XR7MmTew8wSEkX0gW86xcg9rDzmPNysLd3d2JIy7uObKsySOLu7QsV/+8SeXSFfDW2PUSVj2A+Cviw9bxV5JpXLs+AE3qNOBU6jlJeZpktykkJISkJLE8UVFRueTJQiWhm9jz8TR7xZ6dOTQgmKSUPP2Tmcm8yeEFPomzyxKfS5ZgkpMc+pXL5fyy9We8vLxIf5KOIAhoNBpJnpsPrjFkcW+nz33L+3Pj/jWeGtLJzMrk7KVT1PdvKMnxIvq1WDN5u0FLvnije75tKlmnMk/S7mF+oseWaeVOzAUqvVZHVKdsfV/K1fXlvYOTefvHEXiWLy4qT0u8S+Cr9id+vgHluZ4qPqh6PfU+uzaeYeaQn9m14Uy+slw4d4V6jewHKGsHVyftoviQ6cXEq6Scv0bbLk3z5QBQlNRgfWJEMFvBJmC5k46qYjFRHTeFDOOFe2Sckj7IevV+Hr+uVicfv27B5y3zv2AhNj6OZo0L8MkVuXzSmoW7ytkn76bqqBriDUB5Py33rzoOjz+5Z8ZDqyB+9322TE3BpLNSooLzW2SAuAsJNK1nt6fQWkEkpV0UtyfTQuTo6VSv5CP1dUebLiTSrG42T81Aki+Ls8FbrJlEfj21QJ64S0k0CbIfjg6pEUDyNcdFF1fvimNzXf8g4lKlL2G59ugOlUqUw8vDE6VcQXClmiTcEl+aYcnKpG1gUz5t7PzUP4fnwW0ql3zW3wpCfWpz7oa4v81WC+1CX+ez16TfvMZdTKBp2KuAs16u3r5OlfKV8NZmt6lWCLEXEqR54uJoKop54jizdesvz40zsYnxNGuYHfMCxTFPpVSxftEq1M8uTsmStjvIMzYFP2dssuY/NsXHnaNxU7vNBIcEcSHJYXtyuZyftm5E66UlPT0dBAG1Ru3cpnPxNGuUy5cu5vGl5avF41t+42TSOZq90giAsIBgzqc6+8H8ibOoXqWa5Pef4ZnteavtthdSpRbnbop9wWzNpG3Qa/RoIv02OS7lPE1Cs/3AP4Ckq7ls5s51qpSr5PCDmkHEpuRjMxcSaPrMJ2sFknRZwre/mVagT8YmnqPZq9n6DQgmKTVPvLNkMm/KrOePk0Xk21fv3qBKmVxzNL9A4tIk5miB2XO0QOc5WlxqIk2Ds2Xxe45+/YOIzUeWxLgLNGxSF4DAkFqkJF8WlZ8/d5HkxFQ6dpPeJfF/ATI32d/2729tV2EJ5HI5t27dYs6cOSxYsIATJ04wd+5cvv76a3788Ud27tzJmTNnuHnzJjKZDIVCQdWqVUlISGDx4sVs3LiRefPmYTAYUCgUtG7dmgoV7K/3FAoF1apVw2g0UqlSJf7dG6b1RgNatePlpKeHGp1RfJOKzqjPqaPx0DiVA+hNRjw9HAOKxl2NLs9tNd5qLQ39w/KVRafXo9Vqc/6WyeVYrVb7/2UySpWy3/SycfMmDAYjjRs1lm6TXo/WMxePTMxTOptnw4+bMBgMNG7Y6N+XZdNzZDEZ0ObWi4canUmsP73ZmFPHrjcJ/er1eHl55fwtz0+ejRvtbWrsLI/OkEcvchnWLGvO3/WCQqlQtpxkO8Sy6NB6OXjkclmOLGC3zf37DvB+9w+oV78uCoX07s09sTuxZmU6fa5Ve5FhdNxQpDfp8VJ7S8vyAvr11mhpVLtegW1Seasx57qRy5Jhwr2YeIL018XbHJ/4Iz+1HM/l307Rcp54MWYyWFB7OiYPbjI3srJsOX+/0sqfj79qyYi5XbiUeIeE41clZTHoTXhqHZNxmUxGljXLLsPDdDYt30n/r/NfnOV8T6VAsDj6RbBkIXMX94VgtmK+kf8DF71Zyq/z6FetpWHNsAJl0ef1p4J80ijtkxZjFiqNYzuAmwxsWfa4Z8ywcveSjpA2Zeg8uia3kjO4mSR9Y5HOoMdL44h5MlkeP6gTQoUyL+AHRj3aAnjq1g6mfOmCefS5YiuAXCbDmpWVXSaOzRoPNRkSsRfAYDGiVTkmvxqVBzqzOP56eXjyavXgguXJFYvsPPnEcb/QfDl0RkO+etEZxbr3VKvJMEi3Sa/X54kzcok4s5/u3d+nfv16knFGr9fjJRoLZGK7K5ltd1s2YzAaafKK9IMTna5g+xWNTcaCxiZDvuPKszYd2H+ID7t/Rt3/x957R0V5de/fH2aGNgPYu6AiWAApamKNBU3U2EtMLCHGXmMvsfeoqIgFayzYk6jJY42xizUqTVCK3dgbwnSY+/1jkOFmBtDAm+/zyzPXWq4lc85cs/c+e+9zzn2fUsc/V53eK5Z+2pVrLIGxj8tuG2nOOHjf/sDMZxxQanP6jIKP3XP3PaVahbMoDqRZcZCWMw4c5aTl4jPG2M7R3jljO5+YNPaTeeSHWn6UK102Tw6jToUT20rNe4zRNHmP0XL+Xnb7mvE7OpKmsnyiqVKpRuFkamuJVEJ6Zt/04vkrNq3dzehJAy1+14r/WxRoD42zszODBg3Cy8uL6OhoMjIy0Ov1NGjQgCtXrvDll18SFhZG9erVcXV1pU6dOgwcaHKE9PR0evTowcqVK7G3t2fIkCFcvHiRuLg4nJ2dRXU9PDy4fPnyB8m3at9mopLjSHp4Gx/3GlmfKzVqUUIAcHJUoNKocbCzR5XD+df8sZPoeze49eQ+XhU9sj5XadWiBPU+cFIoUClNgWgwGEQJ3WAwsDR0Gffu3WNp8GJsbGws8igUCpQqU0I1CBZ4li/j3v17hCyyzOOkUKBS5SPLskxZFptzrD60lajb8SQ/vou3W7Wsz1UaNc4OYvsq7B1RaTPtm4vdFAoFynxsExISwr1791iyZIllneQKlNkSnWAQkEk/3M0VCqcc7SSYdbwtWgbSPLAZ06fN5MD+g3TslPtT4ZxIU6eicMiewBWkqsTHToeEhHD5j4j3sm9eaDinB+Ub1aCUbyUeX0rK+tzO2QFtjiNSH5yIJV1lXMaUvO8SDWaJ14E7yO3QqkwTNMEgIJUan4sIgkCLrv7InYxPgH3rV+Z+0nN8G1Qxk0mucECt0op5ZMaB/Lnjkbx9o2TW6NW8fvkWrUZPxUplaNHONGhxblAFu/JFsC2pQPfENKi3sZNi0Jo65rwQEhLCpd/PcuvJPbxcPbM+V2nVODt8WFzDO//NJyZXZMbkQssxaecoRa/JyPpbMIBEaqzn4CSjaBl7ilcwDurdarnw7I4KV2/zibAxDkyyCMLfjANHMY/hb8STIjO3ZnEIAjKpNLNMjjLbZEJlITevP/sLMQ8TufX8AV7lqprq6jSiQWZ+WHt8FzH3E0h+eg/vitnaW6fG6QPb28lRjiq7XbLZ18lRIdJJqVaLBtXZYeYzOXIeQIuWLWge2Jzp06azf/8BOnXqaM6hytHWOfxuyerl3H1wj2VzFuXapzg55eibLPlvqNF/l+bSpxjlkaPKppNgQafAFs1o1rwJM6fP5eD+w3To1C4HhwJlfn3TilDuPbhHyILg3HVS5PBfwfBB/rvu9M/EPEzg1rMHeJXP6Xsf5jNGX88WBwZDVhw4OcpRZY8DtcosDt7BLLb/Rkw6yXP4zN/tJwsY26t+3UzUrcwxWpUcYzTHHGM0hxxjNLnY/mb2FUz2VTjIPyAmHVGpTFdJCAYBWWbfdOqP86S8ecuEEXN49fINGo2WSlUq0qZDYB5W+u+D9ZQzC0hNTWX16tUcPXqUR48eoVKp0Ov1ZpvzpFIpiYmW79N4l4j0ej2rVq0iISFBtCmyIBjWuQ/rxwfzx5LdPHj2iBTlW/Tpeq4lxuLrLl5q41fVi4hY44Tp3PUr1Pb0ySob/GkPVvefzaHvN/Dw1RNSVKno0/VE3r2Bj2s1PgT+/v6cPWfcdxAdE4Onh6eofPa8Oei0WkKXhmS93reEAL9sPLExeFb1EJXPnj8XrU5H6OKQrFfzFmWJyEOWuXPQ6bSEhliWZcjnX7N2+A/8PnsrD188JkWZaZfbcdSqXENU16+KF+duGJcgnb9xBX93b3OdAgKIyJQnJiYGT0+xPHPmzEGr1bJs2bJcbRPg48fZS+eNOsXH4ule1WK9/OAf4EdExLlMWWLx8DTZNy0tjX59B6DT6ZBIJDg6OmAjsdyh5obbT5KoVLoKReRFsZXa8lG1+kTeviqqM3r06Pe2b144P20nvwTOYG3ZfhT1KId9MScktjIqfOLFowviuPx0/VA8uxonDm4tfHl2VbyBvqpPOWIv3TXqEP+ECu4lssrUSh2z+u5Ao9YhCAI3Ix9SqVppizLV9HXnynnjkpabsXeo5GHadNn+y2aEhE9g/uqRdAv6lKat6ogmMwCpF+7wck8UT9afR1bUERt7GUhssCtfFN3j97uPaPTo0aweOIdDUzby8GW2uL4Tj49b9ffiyI4AP3/Ons8jJn/IjMng3GOyXDUn7kYZJ2hPktMo4WqqV6S0HXqNgTdPjZ3to8Q0ilfMJQ5q1OLs1YtGWRKu41nJ/YP1MfL4cPZaJk9i3N/i8ffwJiLWeJdMzK14PCqYJrhVyrlx/+lfpKSZcrNfVfFdDgM+6caKHpP5z7AV/PX6KW/Vaegz0ol+mIBPebGN88KgFl+x6tsZHBy/joevnvBWlYY+PZ2oezeo9aF5vHotzkYadYpOjMPTLZtOFSpx//HDLJ2u3ojGr5p5vgPwD/DPkfNy5pl+2fKMIxILeSbAx48zF425KjouFk93sU1mLp6PVqdlxfwlWUvPLMqSs0+x1DfptIQuybtv8vP35VzEBQBiY67j4WnKwWlpSgb2G5pDJ/NhSICvP2fPn8smS45YWjAPrU5L6KKlucYSQG1vX85k9gdR8bFUq/L+/gIwsOkXrOw1lf3frRL5XtSDm/hU+DCugGo+RERlxkFSPJ6upliqUr4S95+Y4uDqzRh8PS3faRJQoxZnrxntG53w92LS2E9m2rcg/WQBY3tYpz6sHxvMH4t38+B5tjFaUi5jtOuZY7S4K9T28BGV+3v6EBGTKUtyPJ4Vs8lSvpJYloQYfKtatq+Pf00uRhj74riYBNw9TOPRbj3bsWHHEpZvmEuvb7vQsvUn/89NZv7NKNAbmsmTJ+daVq+e8bX20KFDsz6rVs3UaYwYMcLs/zVqmAZpzZo1E/FVrFiRihXFJ3m8L2xlMsZ0H8SwkCkYBAMdG7eidLGSpCjfMnvLMpYMnU7/dj2ZvjGYfWcPU9TJhfkDvjfjkUlljGzTh1Gb52IQBNrXaU7pIiVIUaUyf99qFvaakK8sLZoHcvHiRb7uE4QgwJyZszh4+BBqlQovL2/2/fortQNq03/QAAB69ehFi0DzgGnRLJALly7Su+83CAjMmT6Lg0cOo1Kp8PbyYu9/fqW2fwD9hhjfcvX+qictmot5WgRmyvJNpiyzcpFlYKYsPS3LIpPKGNWxPyPWTkcQBNrX+5TSRUuQokxl7u4VBPedTN/PujNzxzJ+vXCUok4uzO09zownMDCQCxcuEBQUhCAIzJ49m0OHDhl18vZm37591K5dmwEDjPL07NmTFi3EpxO1bNyM81cv0XN4PwQE5k2YzoHjR1Cp1XRvl/tJZOayNOfihUt8E/QtgiAwa/YMDh86jEqlpmu3Lnz+eRv6fdsfmUyGZzVP2rbN/fSW7Gj3cWfk9nJ+OrudhT/NYsPoHUhsJOyJ2MWzN5Yv7Hsf+74PDOkZnBm7mS5HpmEjsSFu0wmUj15hX8yJT9cP4UC3YCK+38ZnPw7Dd0gr9EotxwaEiTgCPqnKjasPWDD8ZxDgm4ktuHQsAa1aT5P2PnTq34Alo/chs5VSs3ZFatWvbFGW+s18ibp8kwn9lyIIAiOn9eL071dQq7T57psRKyWQcuYWJTr7Ajao4h9jUOqwsZdRtGV1Xh/M/+JMmVTGyLZ9GLVxtjGu67YwxfXeMBb2nvheomTFZL9vEIRsMalW4V0zW0wOzYzJL81jsmqdojy4/pafZxnXxbcYUJmE86/QazLwCSxFYP9K/B52BwQo5+lEFf8iZnIAtKjfhPPRf9Jr4mBAYM6IyRw8fRSVRs0XrXI/Mc6Mp14TLsRcoffkIcYcMWwSB8/+gUqt5ovP3u+NZGDtRlyMv8o380YiIDCr7zgOXzyBSqOma7O2jP1qMEOXfo8gCFm52RJkUhnDA3sy9udgDIJA21pNKOVcnLfqNBYe+ZF5nUe+lzwyqYzvWgUxats8BEGgXUBzSrkU560qjR/+s4YfvjLPTWZ2+fgTLsZc4eupQ41tPXQSByP+QK1R061lB8YFDWPwvHEYDAKdm39OmeKWD/wIDAzk4oWLBAV9A4LArNmzOHTImMe7detKm88/p++3/bLlGfOTmVo2ac6FK5foNaQvAgJzJ83gwB9HUKlV+FT3Yu/B36jjG0DfUYMB6N2tBy2bmJ/Q1aJ5IBcvXeTrbzP7gxmZ/YFahVdNb/b9ltkfDM7sD76y3B80D2zKpYt/0jdoIAICM2ZN4ciho6hUKrp060TrNp8xoO9Qo06eVWnT1nwvQotmzblw+SK9+/cx2nfaTA7+ntm/ZY+lYYOMOn3ZgxbNzGVp2agZ569epsfI/giCwPxx0zhw4ndUahXd275/fyCTyhjeohdjdi3EgEBb36ZZvrfg0Abmdx2VL0dg3cZciL1K0MzhCALMHjSBQ+eOo9Kq6RbYjrG9hzBk4UQMBgOdmrbJ1Wda1GvC+egr9Pp+CAgCc4Z/z8Ezfxhj+z1jsuUn7/rJvggCzJs4nQPHjD7Tvb35SXq56lRIsW0rlTGm2yCGhWaO0RpmG6OFL2PJkOn0b9uT6ZuC2ReROUbrJx6jBdZpzMW4qwTNGWGMpf4TOHThOCqNmm7N2zGux2CGLJ6EYDDQsUnrXO3bJLAeVy5GMeSbSSAITJo1gj8On0Gt0tCh62fvbZv/Zkj+paec2Qh/d2PK/wNQnrlbYA5Fk8q8/sXy5rH3RbFuxnW1WmXBbmS2Vziie1sIt5K7yNGqCiiL3LHAt9iD8SZ7jUaTf8U84PBuw+tf7/dkPjdIKxRBpbG8rvZDIHdwosYAyydqvS9urjeeUFNQG7t8Xo0QSe4b2d8Xow17OP1oZf4V80DT8sNJeGP51KgPQfWin/Eo9FSBOMqPbAbA6735T3jyQrEu3uhSCiEmi8hZebln/hXzwPCPd6C/8bzAstjWLIXu+tMC89j5lCnwjeLyRm48+/FSgWUp3a8eL3dGFYijRA9/ALTRlh88vC/s/cqi1hTcZxwd5KQ/Tc2/Yh6QlXFGm1awvgDA3smRVLXlk9zeF86Oxre9ujeW91m8L+yKKjDcf1MgDgCJW1Geb/6zQByl+hg3qWuu5H2aYH5wqFsBfdyz/CvmA1vv0mQ8srzv7n0hLe9S4LgGY2wrT90tEIeiWWUA1BfzPo0tPzjWr8hTVXz+FfNBGbnltz7/bdgUPfgf+61v/dbkX6mQ8D9zD40VVlhhhRVWWGGFFVb8L0Nq3UNjhRVWWGGFFVZYYYUVVljx34V/9ZIzK6ywwgorrLDCCiussMKIbddH5F+pkNDbZ8U/9lv/6iVnhbaHphDW2QPoYgq2Lt3Ot0yhrQ1+89uN/CvmgaIda6KNfFxgWewDyhXKPhEonP0QBd0vBcY9U4WlU2HsxUkesbtAHAAeK77EcO9NgTgklYpiuJP7fTDvzVOlWKGtbS+MtdeFlWcKYz9EYe2hebXb8qV+H4LiX/qS+set/CvmAedPqxZ4nT0Y19q/PZKUf8U84NLaeOpX6u/JBeJxbuVR4H04YNyL82LbtQJxlOxdu8D6gFGntBOW75x6XzgFGk+lKqgP29YsVWh7PArax9kHGE9vLIw4yLht+Wb7D4HUvXih6PTftodGc/VRgXgc6pQvtDxjxf8d/tUTGiussMIKK6ywwgorrLDin8fbt295+9b8IAoXFxdcXEx3qB07doxHjx4hl8vp2rUroaGhSKVSevXqRfHixd/rt6wTGiussMIKK6ywwgorrPgfwD95seaWLVtYudL8hNThw4eLrm+Jj4/nu+++y7qPMiUlheLFi2edYvs++J+Z0JyOvsj6/duRSqV0bPQZXZqI7w15nZrClA0L0Oi0lCpagpl9xuJob27Iszf+ZOPxn5BKpLSr24JOH39q8fd2ReznZdobhrX+WvS5wWBg7oalJNy9hZ2tLbMGT8CtnOl+nVNXzrHmly1IJVI6B35Ot5btLfIbDAZmL1/EzdtJ2NnaMWfMZCpVcBXVUWs09Js4grljp+DuVjlX25yNv8yPx4w6tf+oBZ3qWT5rfefZ//Aq9Q3DPg8yk2XexhAS7t3CTmbLzEHjcSubTaer51m7ZwtSqZROzT6nW4t2OamzcOb6ZTYc3YlMIqV9vU/p3EB8R8GbtBSmbl2MVq+jZJHizOgxkpz3pBe0jUw8V9h48mcjT53mdPooF55zB4w8rXr/LZ3eYcfp33j59jUj2vexWO5bJYBxXacQtLib6PPmvp8ytP1oMjLS2XNuFz+f3WHx+wByn/IUb+0NBgNvL97h7XnxxZmyYnJK9/oIm8zL7p7tuoL+mWkplMFgYPaKbH43Ohe/mzSCuWNy9zuDwcDslcGZPLZGnvIWeCaPYO7oKbi7WuYBiEi6xuaIfUglUtr6NaWDv/kdGwA/XT7CS+UbhjT/ykyW+eGhJN6/ha2tHTP6jsWtTIWs8tOR51n72zZkEgkdm7ShazPzu0Cy6hYwzxgMBuYsXUDCLaNdZk2YRqWKJrscPHaErT/vRCqRUq2qB9PGTLJ4MaHBYGDO2iUk3k3GVmbL7OGTRHkGQK3VMGDGaGYPn4R7xUq56nT25hU2nfoFqURCu9qBdKzb0mK9XecP8irtNUM/yyUOYi+x4fAOpBIpHRp8RudGrUXlb9JSmLJ5EVq9jlJFijOj92icc3Ccjr7I+oPbkUoy7ftJDvumZdpXr6VUkUz72pnn8TPXL7HhyC5kUokxJhuayzI1fDFavZaSRUowo6d5njkTe4kNvxvbokN9yxxTtgSb9Ok1CoccshgMBuZtCCHhXjJ2tnbMHJwjd145Z8ydEimdmufeHwBEJF5l05m9xnzl35QOtVtYrLf70iFepaUwpEUPc7sUgk4AZ2Iusv6QsZ06NGxFl8ZtROWv01KYsnEh2sw4mBE0huz3theW/xoMBuZvW07ig9vYyWyZ3meMOLajLrDuP9uMfVPj1nRpavk+scLq4/5ODFjymdmrgkm4nYydrS2zR31vMXf2n/Idc0ZNtpg7C0ufwrIv/L3YVuTUadMyEu8Zx1YzBozHraxJllNXz7NuX7gxlpq1oWtg7uOQwsozVsA333xD587mdz5lfzsDIJUaJ1mCIKDX66levTpeXl6cPXuWVq0sj5ly4n/ilDN9ejpLdq8hbPR8NowPZu+Zw7xIEa9HXX9gO60/bs7GiUup4ebBnjOHzHjSM9IJPbCJ0H4zWD1wDr9dPsrLVPGeAI1ey4zdy/jl4hGLspz48yxanY7t81czqtcggsNXieRctHkla6cuYfOs5fxybD8vXls+2//YudNodTp2Lf+RMf2GsmhtqKj8esINvh4ziAeP894jkJ6RzrL9G1nefyZrBs/l10u56LQzhF/OH7as05UItDod2+aEMbLnQBZvXS3SKTh8JWsnL2bTjFD2HN/PizeWdUrPSCfktw2sHDyHtcN/YN+FI7x4K5Zlw9FdtKrTlPXfLaR6BXf2nj9ixlHQNsriObSZ0G+nsbr/LH7785hlnp9C+eVS3jz56aTRaZm2bQm/RBzMladfq6HMDVqMna296HOZVMakL2fSL6QHXwd3pXuT3pR0sXxhGBIbSnbx59GqUzwMPYlLw6pIncVJuHhbH1LOJPPX8pO8PnqDEh18ReXHzmf6XWim363L4XeJN/h6bP5+Z+TRsmvZBsb0HcaidcvNecYP5sHjvO9vSM9IZ8WxbSz9ahIre0/lP5EneJn2RlRHq9cx+z9h7L32h0WOk9fOodXrCJ++kpFf9GfpTtO5+fr0dBbvWM2a8Qv5cXIIe04d5MUby2vZCyPPHD97Cq1Ox47Vmxg9aATBq0KyyjRaDSs2rGZT6Fq2r95IqjKNU+fPWpTl+KWz6HQ6ti9cy+igwQRvEj8hu558k28mD+PBk/ztG3pkM8u+mUpY31n8dsVyHMz8ZTl7LucdB0v3rGPl8LmsG7WQfecO8+JtDtsc3knrus3YMDqY6hWrsidCnG/0Geks+XkNYSPns2FcMHvP5mHf8Xnn8ZB9G1g5dA5rRyxg3/nfzfPM75l5ZuQiY545Z55nlu5bz8qhc1j33QL2nT9irs+RnbSu25QNoxZRvaI7e86Z588Tf0ag1evYNm+1MXeGmy6y1aenE7xlFWunLGHTrOX55s7lR7cS0ut7Vn0znd+uWY6DWftWsveK5TgoLJ30Geks+WUtq0bMZ/2YYPZFHDJvp4Pbaf1RM34ct4TqrlXZezZHHBSS/56MPIdOryN8ynK+69aPpbvXmuRMT2fJrjWsHruAHycuYc/pg2ZyvkNh9HGFEQMAxy+cQafTsTNkPWO+Hcqi9eJN19cTbxA0YQj388idhdVnF5Z9CyO2T1yJQKfXsXX2KkZ+NZAl28WxtHjbKtZMCmbj9GXsOXEg9zxeSHnmvxkSG+k/9s/FxYWKFSua/cs5oalatSpbtmyhYsWKVK9enfv373P06FH8/f3fX6+CGGX+/PmEhYUxefJkXr/OfbPv5s2bAQgKCiIsLIwTJ05w+vRpUZ27d+/yww8/sGjRImJjY7O4w8LC+PPPPwkJCWHhwoV/S847T+7jWro8LgpnbGW2+Ht6E5l0XVQnKjmOhj51AWjkU5fLNyLNeZ49pGKJsrg4OmErs8Wvck2i7oo31+vS9Xwe0Iw+zS1fZnjtRiyNA+oB4FfNm/hbCVllt/+6h1vZChRxcsbW1paAGrW4etPy5txrcdE0/qg+AP5etbieeFMsh17HipmLqJLHk22TTuVwkWfT6Y74gimdXk+bOs34tkU3ixyRN2Np5P+xUSdPb+Jvm3S689c9XMtWwMXJaPuA6rW4dtPyxvs7Tx9QsaRJFv8qXkTdFm/0j7odT4MadQBoWLMulxOjLehTsDYCuPM8B0+lGrnwNKVPszx43kMnXbqetnWb8+2n3XPlefD8LiNW9zf73L2sJ/ef3eWtKgV9hp6rSZep41nPIoddWRf0z9MwqPWQYUBz+zkOVcU3N7/YF4XyeuYGS6kNgj5DVH7tejSN62b6Xc1c/G5G/n53LS6axnUbZPL4cD3JAs/0hVTJ480BwN2Xj6hQrAwujgpspTJ8XasT/SBBVEebrqe1zycENexokSMyMZZGtYyHBPh6eBF3J5v/PrqHa5kKWbkjwNOHa4m5+G8h5JlrsVE0rme0i593LeISTD5nZ2vHtrCNOL67SDYjA3s78QQ3S6cbMTSqnZlnqvsQl2xu39BJ86lSwc3i99/h7vO/qFjcFAe+lWoQdS8HV7qeNv5N6dM09xvG7zx5gGup8rjIjbbxq+pNVHKO2L4VRwOvzNj2qsvlhCgxx+P7Ro539vXwJjLZgn29M+3rnUsef5IjJt29iLplIc/UfCdLHS4nRplxuJYsZ9InXw5zfQAib8aYcmeO/sA8d/py7Ybl/uDui7+oWLyMsZ2kMnzdqhN9X9xO2nQdrX2bENS4k0WOwtLpbs52qupj3k634mjo9a6dPuLSTXE7FZb/RibF0dAnM7arehF/13RYy53H4ngN8PQhMpfYLow+rjBiADJzZx1jDvar6UNcUo5+Sa9j+bQFeb51Law+u7DsWxixHZkQS0Nfo06+nl7E3c4my7s8LtLJciwVVp6x4sPQunVrvvnmGzp16oSdnR0TJkxg3LhxlClT5r05CvyGRiqV8vDhQ5YsWcLKlSu5ePEiS5cuZcKECezevZtDhw5x5coVHjx4gEQiQSaTUalSJWJiYli9ejU7duxg+fLlqFQqZDIZLVq0oFw548kgMpmMypUrU7lyZUaNGoXBYPhbMirVKpwcTS8nFQ6OpKnFtxGnqZVZdeQOcrNyAKVWjcJBnvW33N6RNI24noujE/Wq+echixInuUkWiURCeka6sUwlLlM4yElTWb41OU2pxFlhekkvzcYDUNvHj3Kl83cEpUaFU06d1OJbrF3kTtSvFpArh9F2Jlmy65SmVuKcrUzhKCdVlfZ+sjiY21epVWfVsWT/wmgjoyyWeHLYxdGJep758eSvk4vcifo1aufJc/TaIdIz9GafOzk6k6o2LQlTapQ4O+ZcHGOExMEWg8bEYdCkI3W0E9UxKHVgELAt7UzJTv68OizucNNU+fid9/v5nZHH5OsWeUq9h/9m8wcAuZ0DSm3OdlLwsXut3Dly5AepREp6hnEip9TkyB2OjqTl5r+FkGeUOeJaIpGQnp6e9f+SxY23qW/fswuVWk3DjyxPXtNUSpxzyTMAtWv6vqd9Ve9hXyfqefjlzaNR4eRo4lFYil2NCieHd7Yxt51ZW1iyr+Y98ngOHot5Jlvcyu3lZjnRTBYLeVOkj4X8AZCmVuXaH6SpxW2ocHQkNZf+QKlVo7DP3k6OpFlqp6q+Ob9a+DpZsm8ebWnsc3K0Y2H5b7Z4g3d5JjO21eZyplrwFyicPq4wYgCMtnES5QjpB+fOQuuzC8m+hRHbSrVK5DPZZUlTieMsN9sWliz/7ZBIJP/Yv38SBdpD4+zszKBBg/Dy8iI6OpqMjAz0ej0NGjTgypUrfPnll4SFhVG9enVcXV2pU6cOAwcOzPp+eno6PXr0YOXKldjb2zNkyBAuXrxIXFwczs7OorobNmygffvc1w9bwqp9m4lKjiPp4W183Gtkfa7UqHGWO4nqOjkqUGnUONjZo8rh0GuO7iD67g1uPbmHl6tn1ucqrRpnBwUfAoWjAmW2TsIgCMikxmZQyBUos3UQSo3KTM4seRU5eQxZPO+DNUe2E303nuTH9/B2q5b1uUqrFun+PjDazrIsTo45dFKb67T60FaibseT/PiuWBaNGmcHcV2FvSMqbWY7adU4Z8oaEhLCpd/PFriN1vyxk+h7N7j15D5eFT3EPB9glw/RqSBIU6eicMiefBWkqlJEdYq39cGxainsyhdBc8/06lziICNDrTPjdPQsTanudXgaflG0fwbASV4wvyssnnWnfybmYQK3nj3Aq3zVrM9VOk3WgOB9oXCUo9Soc8hiXM+rcJDn8F+1aMIBhZdnABQKBUqV6fcEQUAmM9nFYDCwZPVy7j64x7I5i7CxsbGoU077CtnyzPtg7bGdRN+/SfLTe3hXyBZPOo1ogpMfwvZvIepWPMmP7uBTuXrW50qtWjSgAqOts2JbY4q3Vb9uJupWpn2r5LBvDg4nhxz2zTaIWX1wK1G340h+dBfvSiZZsv+WRVm0KlGeuXzsnFGfSjn1yYvDcv5wcpSjyqU/MM+d5r637uRuYh4kkPz0Pt4VsuUrnRpn+/eLg7AD4cZcVUCdwn7LbKe/7uBT2dROKgtxoHCQm9pJa6EdC+i/Wb+TGW/vYLRvZmw7imPbkpxZ8hSgjxP5zN+MAZEscgXKbANowfDhObigfXaWvAW0b2HFtqXfy57HneRyVGqTnP9/y2LF/w0KNH1KTU1l9erVHD16lEePHqFSqdDr9WazMqlUSmKi5Xs53nXIer0+63QDNzfxa+Tt27eTkJDAmTNnPki+YZ37sH58MH8s2c2DZ49IUb5Fn67nWmIsvu41RXX9qnoREXsZgHPXr1Db0yerbPBnPVk9cA6Hpmzk4csnpKhS0afribwTj49bdT4EATV8OHvtIgDRiXF4urlnlblXqMT9xw9JSX2LXq/nanw0ftW8LfLU9vblzKXzAETFx1KtiofFerlhcOterB48j8PTN/PgxeNsOsVRq9KH6eRf3YezkZk6JcXh6WrSqUqFStx/8pCUNKPtr96MMdNpyOdfs3b4D/w+eysPXzwmRZkpy+04amXrGAH8qnhx7sYVAM7fuIK/u5Fr9OjRhdJGgz/twer+szn0/QYevsrGc/cGPq7V8if4GzoVBLefJFGpdBWKyItiK7Xlo2r1ibx9VVTn1cHr/LX8JHcm/4ZtSSckcjuQSnCoWgrNHfHaaEfP0pTsGsCjsNNoH5gvI63t7cuZy5l+dyOWapU/zO8s81ynWuWq+XxDjIFNv2Blr6ns/24Vf71+ylt1GvqMdKIe3MSnwofJ5O/pQ0TMJQBikuPxrFglq6xK+Urcf/pXlv9eS4jBt6qX6PuFlWcAAnz8OHPxHADRcbF4uot1mbl4PlqdlhXzl2QtPbOEgBq1OHs1MyYTruNZyT3XupYwqGUPwvrO4tAEcRxE3Y3/oDgY2v4b1o1ayNEfdvDgebY4SL6Ob5Ucse3uxbk44/1C5+Ov4O9htM2wTn1YPzaYPxbv5sHzbPZNysW+1zPtG3eF2h4m+w5p+zVrRyzg97nbePj8kUmWW9ct5JmanIvPzDPxV/Gvasoz675bwNF52415M099anIuPps+7ua53L96Lc5GGn3P2B9k8713/cG73HnDvD8Y2PxLVgZN58CYNTzMFgfR927iU9GT98HQdkGFotPQjn1YNyaYo4t2ZbZTaq7t5F/Vm4i4d+30JwEeOeKggP6b9Tse3kTEZsb2rXg8KmSzbzk3cWwnxuKXI7azeArQx40ePbrAMZAdAV6+nP3zglGWG9fxrPJhubOg+oh4CmjfwoptgIDqPkREZcqSFC/WqXwOnW5E4+v5/58s/+2Q2kj/sX//JAr0hmby5Mm5ltWrZ1wKMXTo0KzPqlUzdYTZj2t79/8aNUzB3axZs6z/9+rVi169ev1tOW1lMsZ0H8SwkCkYBAMdG7eidLGSpCjfMnvLMpYMnU7/dj2ZvjGYfWcPU9TJhfkDvjfjkUlljGzbh1EbZ2MQBNrXbUHpIiVIUaUyf28YC3tPzFeWFh834ULMFXpPGYIgwJxhkzh49g9UGjVffNqB8d8MZ9C8cRgMBjoHfk6ZEpY3eLds1IzzVy/TY2R/BEFg/rhpHDjxOyq1iu5tzU+UyA0yqYxR7b9l5IZZGAQD7T9qadLpl1UsDJqUv04ffcLF2Ct8PW0YAgJzBk/kYMQx1Bo13Vq2Z9zXwxg8fzwGQaBzszaUKW5ZJ5lUxqiO/RmxdjqCINC+3qeULlqCFGUqc3evILjvZPp+1p2ZO5bx64WjFHVyYW7vcWYcBW2jLJ42fRi1ea6Rp05zE8++1SzsNeG9efLT6e+g3cedkdvL+ensdhb+NIsNo3cgsZGwJ2IXz97kcmmfQeDFvijKD20KNpB68Q4ZKWokcjtK9/yIJxvOUbJrADYyCWW+Nsav7mkqz3dfyaJo2agZ569dpseoTL8b+/f8rmXDZpy/9ic9Rg/I5JnKgZO/o1Kr6f55p/fmkUllDG/RizG7FmJAoK1vU0o5F+etOo0FhzYwv+uofDkC6zTmYtxVguaMAEFgVv8JHLpwHJVGTbfm7RjXYzBDFk9CMBjo2KR1rv5bGHmmZZPmXLhyiV5D+iIgMHfSDA78cQSVWoVPdS/2HvyNOr4B9B01GIDe3XrQson5qW4t6jfhfPSf9Jo4GBCYM2IyB08fNeaZVpb3EuVm3+9af8Po8HkYBAPtagdS2sUYBz/8toYFPca/N8/oLgMYsWoqBkGgQ/1PKV20pDEOdoQSPGAq/Vp/xcytS9l3/ghFFUWY10ccY7ZSGWO6DWJYaKZ9G2azb/gylgyZTv+2PZm+KZh9EZn27Wc5j4/q3J8Rq6cjCAbaZ5dl13KC+02h72dfMnN7CL9e+J2iChfmBo034xjdqT8jVk/DYDDQof5nJo6doQT3n0q/z75i5ral7Dtv5Jj3jXnOaPHxJ1yMucLXU4ciCAJzhk7iYMQfmbmzA+OChjF43jgMBoHOzT/PM3eO+LQ3o7f/gCAItPVvRikXYxz8sH8dP3Qf835tVAg6GdtpIMNXTMZgEOjY0MQzZ1sIiwdNp1+bHszYsphfI45Q1MmFeX3F/Uxh+W9g7UZcjL/KN/NGIiAwq+84Dl88gUqjpmuztoz9ajBDl36PIAhZ8WoJhdHHFUYMALRs2JTzkZfpOWYAggDzxkz54NxZWH12Ydm3MGI7sO4nXIi9StCM4QiCwOxBEzl07pgxj7doz9jeQxmyYAIGg4FOeehUWHnGin8eNoIgCP/XQvz/hcK6wbswbqAH0MU8LRCPnW8ZDPffFIgDQOJWlDe/3ci/Yh4o2rFmgW8cBuOtw28PWX57975w+dw4US6Mdnr9i+VNix/E061WoelUY0D5AvHcXP+I5BG7C8QB4LHiSwz33hSIQ1KpKIY7uR8e8t48VYrxfPOfBeIo1ce4kVV9Me/T2PKDY/2KhZZn0p+m5l8xD8jKOBf4lnUw3rT+arflDbMfguJf+hbKDemFdYP32yNJBeJwaW1845H6e3KBeJxbeaCNzuWhwwfA3q8sL7ZdKxBHyd61C6wPGHVKO3GnQBxOgcan+wX1YduapQrtJvuC9nH2Acb9wIURBxm3LZ/K9SGQuhcvFJ0Ky74FjW1Fs8oAaK4+KhCPQ53yhZZn/l/AvqQp/9hvdfac94/91v/Esc1WWGGFFVZYYYUVVlhhxb8T/zMXa1phhRVWWGGFFVZYYcX/MiSSf3Zvyz+Ff/WSMyussMIKK6ywwgorrLDCiN9uTf/Hfqtj1dn/2G9Z39BYYYUVVlhhhRVWWGHF/wAkNv/O3Sb/6glNYW3WfbT0ZIE4yo8xnkKU8ehtgXik5V1Qnb1XIA4A+SeVeKsu2AEFLo5leBR6qsCylB/ZjPQnBdwMXdYZAP1Ly5d/vS9sSzhheJCSf8V8IHEtQoika4E4Rhv2ABR4Q7/Hii8LfLAAGA8XeJBWsI34rk4f8UZdsM2bAEUdyxd4U6q8kfFoeM2VvwrE41C3AlqVOv+K+cBe7shul0EF4vjy7VpehF/Jv2I+KBlUlzR1wTcgOzkWL5SN+PrnBcsPALalnAulrQE0Gk3BeBwcCnxADBgPidG9LtiFfnbFFOjeml+O+cE8LnL0rwqYf4sb7/ooaL+taFKZjL8KnselFYoUuL+Vf1IJAPXlAh4+8nHFQtu0XhiHWqQdv11gWZxauBfKZn6gUPJMYcWBFf93+FdPaKywwgorrLDCCiussMIKI6T/0j00/zMTmtPRF1m/fztSqZSOjT6jS5PPReWvU1OYsmEBGp2WUkVLMLPPWBztzS+us3cvgXP9ymAQUMU9RhVr+QhERUBFJAo7UiPETzIMBgOzly0k4VYSdra2zB4/lUoVXEV11BoN/ccNY86Eabi7Vc5dp6gLrDuwHalESqfGrSzqNHn9D2j1OkoVKcHMb8U6GQwGFs5fSlLiLWxtbZk6YwKubhWzyk8cO8XmjTuwsYHOXTvQqUu7XGWxr1IC53qVMu3yBFVcLnbxz7TLOfMnPAaDgTkhC0hITsLOzpZZ46dRqaIF24wdypwJ03GvZG4bg8HAnMULSExKxNbOjtnfT8MtG8eho0fY+tMOJBIp1Tw8mTZuktlFsO94Zi9fyM1bSdjZ2jFn7BSL7dRv4nDmjp2aZzu5t6tLvWlfYEjPIG7TCa5vOCYqty/mxLcJK3hx3fjW4davl8045D7lKd7aGwwG3l68w9vzYvvJiskp3esjbDJ1ebbrCvpn5k+2fasEMK7rFIIWdxN93tz3U4a2H01GRjp7zu3i57M7LOpiMBhYvmAztxLvY2snY+y0/lRwLWtWb+ncH3F2UTDgu69y5Vk0fxlJibews7Vl8ozxuLpVyCo/cew04Rt3YmNjQ6eu7ejYpW2uPPO3LSfxwW3sZLZM7zMGtzImntNRF1j3n21IpVI6NW5Nl6afW+SYtymUxPtGWWb0H4dbWRPHqWvnWbdvqzHOmrama6DlODAYDMybP5+ExETs7GyZOX2G6JLgQ4cPs23HdqQSCdU8qzFl8mSLvgdQvrUv3pPaYkg3cGfrOW5vibBYr1RDT+pv6Mt+L/N7ECISr7EpYh9SiYR2fk3pEBBokWP35cO8SkthSKB5WxkMBhbMDyYxMRk7W1umzfgeVzdTHBw/dpLNG7dm5ohOdO7SweJvAJy5fokNR3Yhk0poX+9TOjdsLSp/k5bC1PDFaPVaShYpwYyeI3HJIcucJQtITE7C1taW2ZNyxPYfR9j6004kUinVqnowbWzusV3Q9jYYDMybN4/ExETs7OyYMUPc1seOHWPjxo0AdOvWjS5duli0icFgYO6GpSTcNcoya/AE3MpVFNVRazUMnDOGWUMm4l6hkmWO4B9ISErEztaOWZOn4eaaze+OHmHbrh1IpBKqeXgydfz3udpl7sL5Jp6p08U8vx9m284dSCQSqnl6MnWiZf81GAzMCV5AYnIitraZOdg1Rw7enS0Hj7fcTvD3+u3sd7YbDAZmh77rb+2YPc5yHu8/fjhzxuedx/9Of5v9eb3BYGD+FqPf2crsmNF/rDhXXTvP2l+3IZNK6NikDV2bW855WXY5aJSlY6PP6PJJDlnSMu2i1xpl6TMWRzvz8cyZ2Ets+H0nUomUDvUtx+SULcGZOhVnRq9ROOfkiLnI+kM7kEqldGjwGV0atzGXZePCLLvMCBptJosxJpeReC8zJgeMF8fk1fOs2xdutH2zNrnm4L+TYxwsyFIYcWDFP4//iVbQp6ezZPcawkbPZ8P4YPaeOcyLFPGSivUHttP64+ZsnLiUGm4e7DlzyJxIYkORZh683BPNi58ikdcqb7x1PTtkEoq2qYnCv4L594HjEafQ6bTsXLWRMQOHsyhsmaj8ekI8QSMHcv9R3q+ojTqtZfXoH/hxwmL2nDlkptO6/dtoUy+QjROXUt2tKntOHxSVnzp5Fq1Wx8bw1QwfOYhlS1dllWVkZLAydC1ha5eyMXw1W7fs5M3rN5aFkdhQpIkHL/fF8OKXKOS1ypnbRSqhaKuaKPxyX/50POIUWp2OHas3MXrgCILDQsS2uRnPN98N4MGj3JeOHD9jtO/29ZsZPWQEwctNHBqthuXrwti4ci3b120iLS2N0+fOWuQ5du40Wp2OXSs2Mqb/MBatCRXLkhDP12MG8iCfdpLIpDRd2oe9rWbzc7Pp1BrwKfIyRUV1ytR25+auCH4JnMEvgTOIXH4wB4kNJbv482jVKR6GnsSlYVWkzuIkXLytDylnkvlr+UleH71BiQ6+ZrL0azWUuUGLsbO1F30uk8qY9OVM+oX04OvgrnRv0puSLpYvHTt36io6rZ4Vm2fSf8RXrAkxn/gc2HOcO8kP8rTL6ZMR6LQ6fgxfxdCRAwldGpZVlpGRwarQ9axcu5gN4SvZtmU3b15bXkJyMvIcOr2O8CnL+a5bP5buXptVpk9PZ8muNaweu4AfJy5hz+mDZjECcOJqBDq9jq2zVjLyywEs2b5axLF4WxhrJi1i47QQ9pw8yIs3lpdjnTh5Eq1Oy7bwcEZ+N5LFS5dmlWk0GlaGreLHdevZuiWc1LQ0Tp85Y5HHRibBf8EXnOoUysk2i6n67Sc4lHYxq+dYoRjVR7TExtb8aVt6RjrLj20jpMckVn09jd8iT/Iy7Y2ojlavY9ZvYey98odFOQBOnTyDVqtjc/h6RowcSsjSFVllGRkZrAgNI2ztcjaFr2frlu28ziVHpGekE7JvAyuHzmHtiAXsO/87L96K7yTa8PsuWtVpyvqRi6hewZ29546Iyo+fPYVOp2P72k2MHjyC4JU5Ynv9ajauWMv2NRuNsX3ecmwXRnufOHECnU7H1q1bGTlyJEuWLBHZJTQ0lLVr17J161Y2b97M69eW71868edZtDod2+evZlSvQQSHrxKVx926SZ/pI3jwJPelOSdOn0Sr1bF9wxZGDcuR8zQaVqwN48ewtWxbv9lol4hc7HIqk2djOKOGf0fwMrH/rlgdxo9r1rFt4xYjz1nL/ivKwUNHELxCLM/ydWFsXLWW7es3kabMPQcXRr99POI0Op2OnSs3MmbAMBatNs/jQaP+mf725NVzaHU6wmesZOSX/Vm6Y42If/H21ayZuJAfp+SdZ/QZ6Sz5eQ1hI+ezYVwwe8/mYZfxuY9n0jPSWbpvPSuHzmHddwvYd/4IL97m4Dmyk9Z1m7Jh1CKqV3Rnz7nD5rLsWceq7+axfvQi9kVYkOXQDlp/1Jwfxy6mumtV9p4VcwCcuJIZk7NXMfKrgSzZbuoPjDG5ijWTgtk4fRl7ThywaJvCyDFQeHFgxT+P/4kJzZ0n93EtXR4XhTO2Mlv8Pb2JTLouqhOVHEdDn7oANPKpy+UbkWY8suJy0t+oEbTpYBDQ/ZWCXYUiojo2Ugnq+CekXrK89vZabDSNP24IgJ9XLeISxRdc6nR6ls9ZlOeTIoA7j8U6BXjko1Otj7iUQ6foyFgaNjLeCF/L15sbcQlZZVKplJ/2bcXJ2YmUlLcgCDjKHS3KYmaXRynYlc9hF5kE9Y0npF7Ofe/DtZgoGn/cAAA/71rEJeSwjV5H6Nxg3N3Mn1K+Q2R0FI3qZdrXpxZxN+Ozyuxs7di2bhOODkY9MjLSsbOzs8hz7XoUjT8yyuLvVYvrOdtJr2fFzGCquFbOVRaA4jUr8ib5Cdo3Sgz6dB6du0GFT2qK6pSu406ZAHe+ODmbtrvHoihbVFRuV9YF/fM0DGo9ZBjQ3H6OQ1Xxjcsv9kWhvJ456JHaIOgzzGR58PwuI1b3N/vcvawn95/d5a0qBX2GnqtJl6njWc+iPtejEviooXGy5FXLg8R48WV68TFJ3IhNpl0Xy28D3iE6Mpb6jT4GoJavFzfjTBeRSqVSdu/bkuV7Qh6+F5kUR0Mf4yWZvlW9iL9r4jGLEU8fIhPNL06NTLhOQ79MDk8v4u6Y4uDOo3u4lqlg4qjmw7UEy5dORkZG0qhhIwD8fH2Jjzdd9GpnZ8fWzVtwdDT5nr29Zd9zqV6OtNvP0b9RYdBn8PxCMiUbeojqSOxl1F3Wi6tjdlrkuPviERWLlcHFUYGtVIavazWiHySI6mjT9bSu1ZigRrnfvB4VGU3DRvUBqOXrQ3ycKQ6kUim/7NuJs7MTKSkpCIKAPJd2uvPkARVLlsNF7mTMwe5eRN0SX4QbdTueBjXrANDQqw6XE6NE5ZExUTSql5kffGoRd9Mki52tHdvWbMTRwTjRz8jIwM5OPHHP4imE9o6MjKRhQ2Oe8fX1JS7OpItUKmXfvn04Ozvz5s2bTLtYXlt/7UYsjQOMseZXzZv4W+I20un1hI6fS5UKbpa+buSIjqJxg3c5z5f47DnPzo6t2XJeekZGrn53LTqSxpk6+dXyJf5GDp4fN+fgycW+0VE0qp8tB+fgEeXg9NxzcGH029nzuJ+XpT5Fz/LZwf9IfxuZGEsj30y/83gfv7N8yfOdx/dxLZXNLh7eRCZbkMU7UxZvy+OZO08e4FqyHC5yI49fvjFZl8sJUaLyu48fGGWRZ5MlJ8etOBp61cmS5dJNc1kiE2Jp6GvsD3w9vYi7nS2Pv7ONU6Ztqtfi2k3zmCyMHAOFFwf/zZDYSP+xf/+oXoVBMn/+fMLCwpg8eXKuT6IANm/ezMOHD9m7dy8AK1asMKsza9Ysbt++zQ8//MCiRYuIjY3N4g8LCzOr/z5QqlU4OZpeRCscHElTizdTpqmVWXXkDnKzcgCJncw4aM+EoM9AYi9etSdo09Hey90GaSolTgqTLBKJhPQME2ftWn6UK22+hMdMJ41YJ7mDnFSVWObseiss6KRUKlE4ZZNFKiE93SSLTCbjxPHT9Oz+LQF1/JDJLK9QlNjJEHTZ7KLLxS73874lXqlS4qxwMvFKxPLUruWfr23SVGk4O2XjyKaTRCKhZPESAGz/eRcqtZqGH9fPhUcsizRnO/n4Ua50mTxlAbBzcUSbYtpsqEvVYF9EPLh5dfMvLszczc/Np3Prt8s0Xy6edEgcbDFo9Fl/GzTpSB3FgwCDUgcGAdvSzpTs5M+rw+JEDnD02iHSM/Rmnzs5OpOqNi1PU2qUODuavxEAUKWpUTiZ5JdIJGSkGydPL5+/ZsvavYyY2Mfid7NDqVThZOZ7pkmYTCbl5PEz9O7en4A6vshklhOjMlvcwrt2ysgsyxkjjqRaiGulWoWziEOaxZGWk8NRTprK8kbsNKUSJ5HvSUW+V6KE0fd27NyJSqWmQf0GFnlsnR3Qp5gOGkhP02DnIp4o1Fncg4TlR1E/fmORQ6lTo7A3fUdu50iaRrzp1cVRQT138zd576sTvMsRp/iqexABdfxzzRHm+cqRNI3SvI6D0bfk9nLS1GJ505S55wdRbP+SGdsfWZ6UF0Z7K5VKnJ1Ni2+kFuxy7NgxunfvTp06dXK3i1qJkzz3/iCgRi3Klsw7zyiVSpxEdhH7XclMv9v+0y5UKhUNcsl5782ze6eRp14uuVNZODm4MPptY3+bQ5a/kccLpb9Vq0Rtnd3vcpYpHB1JU1s+ZCGnLBbtosl/PGPGY+9oFnPGmMzksTfPIWkaZVZ5Vp2cemf7HUtxD5kxKbecx9NUYtvILehrSZ+/k2Og8OLAin8ehbaHRiqV8vDhQ5YsWULZsmWpW7cu58+f58mTJ9SpUwdnZ2euXLlCixYtRN97+PAhK1asoHTp0vTs2ZOnT5+i0WiQyWQEBgZSrlw5o6AyGRUrVrT007li1b7NRCXHkfTwNj7uNbI+V2rUOMudRHWdHBWoNGoc7OxR5QgM54ZVsKtQBNtSTugem04qs7GVYsg2wXkfOMkVKFWmIBIMAjLp+zfDqn2biEyKI+nhHXzcq2d9rtKIEwKAwlGOSqPCwc4epUZlprNCoUClzCFLjo43sEVTmjX/hFnTf+Dg/t/p0Mm0Vte5QRXsyhfBtqQC3ZNsdrH7cLsAKHLaRjCXJz84yZ1QZutocupkMBhYsiqUew/uEzJ/ETY2NrnwKEQ8BuHD2qnhnB6Ub1SDUr6VeHzJdAKLnbMD2jfiJPvgRCzpKh0Ayfsu0WCWaS9Dhe+aY1e+CJp7plfsEgcZGWqd2W86epamVPc6PA2/aHH/TG5IU6eicMjeQSpIVVle4iV3ckSlNA22BcGANHOycebYZd6+SWXyyGBev0hBo9HhVrk8rTo0MeNRKOQi3zMYDGaTluYtmtC0eWNmT1/Aof1Had+pTU4aFJlxm8UjCMik0swyOcpsHbDKQtyb6mXjMBiyOJwyYyiLQ20eR+/gpFCgyu4zBoOZ7y1dtox79+6xdPFiM9/zmdaRUvWrUsSnIq+umN58yZwc0GWb4DiULULJhh44uZfCe5LxpKoGm4yT4HWnfiLmQSLJz+7jXb6qSW6dGmeHDz+Bx0mhQKnMHk8GCzmiGc2aN2Hm9Dkc3H+YDp1M69tXH9xK1O04kh/dxbtS9nylFk0qwDgIVGkzc7BWZVbupMg7PxgMBpaELefeg3uEzMs9tgujvRU57JKzrQFatmxJYGAg06ZNY//+/XTq1MmCLAqU2QZVH5pnsmTJz+9WhnLv/j1CFgTnbpcc9jUIFniWLzPyLDL333dwUjjl8BkL7bQyMwf/YN5OhdVvQ2YeV+eQ5f+qv83D7xSOcpEfKNXmuq76dTNRtzLtUiWHXRxz2MUhh12yyRp2IJyo2/EkP7qDT7aYVGrVZvYTx6QpZsP+s8Uoy1938KlskiV7HYscFmQ12SaH772LSbkcldpkt5x5PCQkhMvHIgolx0DhxcF/M/6txzYXilbOzs4MGjSIAQMGULZsWTIyMtDr9TRo0ABXV1e+/PJL7t69S/Xq1bGzsxPNdgE+/vhjGjduzIMHD6hZsyb29vYMGTKE169fc+jQIZydnRk4cCCff26+oTcvDOvch/Xjg/ljyW4ePHtEivIt+nQ91xJj8XUXL/vxq+pFRKxxM/a561eo7emTVZZ6/g4vf47iyZpzyIo6YuMgA4kNdhWLonv8YcdDBvj4cfbSOQCi42PxdK+azzdy6vQtGyYs5tjSTJ3STDr5VfUS6+ThTUSs8ajdc7F/EpBNJwA/fx/ORVwEIDYmjqqe7lllaWlKBvYbgU6nQyKR4OjogEQiDtzUC3d4uSeKJ+vPG+1in2mX8h9uF4CAWn6ceWebuFg8q3jk8w0LHL5+nL2QyXE9Fs+qYo5ZC+eh0+lYvmBJ1mtjS6jt7ceZy+cBiIqPpVqVD2un89N28kvgDNaW7UdRj3LYF3NCYiujwidePLqQKKr76fqheHY1PuVxa+HLs6umDf9/LT/Jncm/YVvSybgvSSrBoWopNHdeijgcPUtTsmsAj8JOo32Q95uwnLj9JIlKpatQRF4UW6ktH1WrT+TtqxbrevtV4/K5aADiY5Op4mHaYNu5RytWb5/L0nVT+apPewJbN7A4mQHw9ffhfMQlAGJj4vHI4XuD+43M5nuOZr73Dv4e3kTEGnlibsXjUaFKVlmVcm7cf/pXnjECEFDNh4ioTI6keDxdTbJUKV+J+09MHFdvxuDrac4B4O/vz9kI4+b96JgYPD08ReWz585Bp9MSGhKStfQsO67P+Y2TbZfyW9VxOLmXwq6YHImtlFINPXl52eQTmicpHK4zg5Ntl3Ky7VJ0r5Vc+HYDAAObdWfl11M5MCqMh6+f8ladhj4jnej7N/Gp4Gn2m/nBz9+XcxEXAIiNuY6HpykO0tKUDOg3JKudHBwdscnRTkPafs3aEQv4fe42Hj5/RIoyFX26nshb16mVbSAE4FelJufijcdOn4+/in9Vb1F5QC0/zl7MFtvuOWI7eD46nZblPyzJWnpmCYXR3gEBAURktnVMTAyenibbpqWl0bdv3xz+a7mrDajhw9lrxhwcnRiHp5u7xXp5IcDXn7Pn39klxiznzV4wD61OS+iipXnmvAA/f86ey/TfWAs88+ei1ekIXRySN8/75uCFlnNwYfXb8K6/Nebx/+v+1j+73yXH4+maLVeVryTOVQkx+HqI+Yd16sP6scH8sXg3D55ns0tSLna5nmmXuCvU9jDJMrRdEOu+W8DRedt58OKxKSaTr+NbJUdMutfkXLxRp/PxV/B3N8bk0A7fsG70Io4u3JkpS2qmLNfNZPF39yLi+p9ZsgR4iOMaIKB6fjH50BSTN6JFMTl69OhCyzFQeHFgxT+PQnlDk5qayurVq3n06BEZGRk4Ozuj1+vN1sZKpVLevHnDgwcP+PHHH7PWHr6b4QqCAIBer2fVqlU4OTnh7e1NbKzltaTvC1uZjDHdBzEsZAoGwUDHxq0oXawkKcq3zN6yjCVDp9O/XU+mbwxm39nDFHVyYf4A81ODMAiknE6mRBc/sLFBdf0xhjQdNg4yin5ag9f7r5t/JwdaftKM81cv0XN4XwQB5k2czoFjR1CpVXRvb/kknNx0Gtt9EEOXTUYwGOjYuLVRp7S3zN4SwpJhMxjQ1qjT3jOHKOpchB8GTBJxNAtswqWLV+gbNASA6bMmceTQH6hUarp060DrNp8ysO8IZDIZHp5VadP2M8vCGARSztyiRGdfwAZV/GMMSh029jKKtqzO64Pmy58s26Y5F65cotfQvgiCwNxJMzjwR6ZtOryfbVo0bc75Py/Ra+C3IAjMmTKDg0cPo1Kp8a5Zk70HfqOOXwB9RwwGoHf3r2jZ1Hy/R8vGzTh/7RI9vuuHIAjMHz+dA8ePoFKr6d6u83vJAmBIz+DM2M10OTING4kNcZtOoHz0CvtiTny6fggHugUT8f02PvtxGL5DWqFXajk2IIxq3RtmIxF4sS+K8kObgg2kXrxDRooaidyO0j0/4smGc5TsGoCNTEKZr43LbHRPU3m+O+87Sdp93Bm5vZyfzm5n4U+z2DB6BxIbCXsidvHszROL32ncvC7XLl3nu29nIQgC42cM5Pjh86jVmnz3zWRHs8BPuHzxKv2DhiMgMG3WRH4/dAyVSk3nbu1p1aYlg/uORCqT4enpTuu2n1rkCazdiIvxV/lm3kgEBGb1HcfhiydQadR0bdaWsV8NZujS7xEEISvuzTjqNuZC7FWCZg5HEGD2oAkcOncclVZNt8B2jO09hCELJ2IwGOjUtA1lils+MKFFYCAXL17k62+CEASYM2sWBw8fQq1S4eXlzb5ff6V2QG36DxwAQK+evWgRaG4zId1A1Pe/0HTfSLCx4c6286gfv8GumJyPVgRxrvcas+/khEwqY0TL3ozeuRBBMNDWrymlXIrzVp3GDwfX80O30flyADQPbMqli5f5NmgAAjBj1hQOH/odtUpNl26daNOmFf37DkEmk+Hp6cHnbVtb5JFJZYzq3J8Rq6cjCAba1/+U0kVLkqJMZe6u5QT3m0Lfz75k5vYQfr3wO0UVLswNGi+2b5PM2B7c1xjbk2dw8KgxP3jX8DLF9neZsf1FD1o2bW4mS2G0d2BgIBcuXCAoKAhBEJg9ezaHDh1CpVLRrVs3Pv/8c7799ltkMhnVqlWjbVvLJ1a1+LgJF2Ku0HvKEKPPDJvEwbN/oNKo+eLT3E+ME3E0a86FPy/Se0AfBEFgztSZHPz9sMku+3+ltn8A/YYZ7znq/WUPWjQz97sWzQK5cOkivft+g4DAnOmzOHjkMCqVCm8vL/b+J5NnyEAjz1c9adHcAk/T5py/fIleA74FMnPw74dRqTNz8P7MdhqeLQdbkKcw+u2Wjd/1t/0QEJg34e/l8cLobwPrNObi9asEzRoBCMwaMIFD54+j0hj9blzPwQxZNAlBMNCxSetc84ytVMaYboMYFpppl4bZ7BK+jCVDptO/bU+mbwpmX0SmXfqZj2dkUhmjO/VnxOppGAwGOtT/zBSTO0MJ7j+Vfp99xcxtS9l33hiT876ZYC5L1wEMXzEFgyDQsaGJY862ZSweNI1+bXowI3wJv547QlEnF+Z9O9FMlsC6nxhjcsZwYzwNmsihc8eMtmnRnrG9hzJkwQRjTDazHJOFkWOg8OLgvxn/9N6Wfwo2wrtZxL8Q1os1LcN6saZlWC/WzB3WizUtw3qxZu6wXqyZC4/1Yk2LsF6smTusF2tahvVizb+HYw+C/7HfaulqPmn8/wv/M/fQWGGFFVZYYYUVVlhhxf8y/q1vaP6dO4OssMIKK6ywwgorrLDCiv8JWN/QWGGFFVZYYYUVVlhhxf8AbP6lb2j+1XtorLDCCiussMIKK6ywwgojTv4V+o/9VvMKI/+x3/pXv6EprE10N3ptLhBHze19AHiiyv8UtLxQVu6DWlPwjWuODnJOPFxaII7AimO4P/tQgWVxm/55odgFKPBGZifH4jxXJeZfMR+Uklfj9KOVBeJoWn44AIZ7bwrEI6lUtMCb+cG4ob+ghwvcXP+IL9fVyL9iPtg98Cb3ZhwoEEelWca7UlL/uFUgHudPq3Lj9eECcQDULNamUA7qKKxDQ96oC7aBHqCoYwXeHipYPLl8Xq3QNtC//qVgp2UW61YLgDTNmwLxODkU5ZW6YIdaABR3dCvwIRtFHcuTnHKqwLJ4FGnGlWfbC8RRt3QvALTKgh2yYa9wLPDBDWA8vKGgh2yUDKoLgDbycYF47APKkZFc8IM6pB7FC3xggrRCEdJO3Mm/Yj5wCqyC+mIBD0uob7ybsKBjPUWzyoTHDisQB0BQrVUF5vgnYN1DY4UVVlhhhRVWWGGFFVZY8V+Gf/UbGiussMIKK6ywwgorrLDCCAn/zjc0/zMTmtPRF1l/cDtSiZSOjT6jyyefi8pfp6UwZcMCNHotpYqUYGafsTjamd827RRQkZKd/REMBlJOJ/HmpPj8c1kJBeUHNgKJBGzgyY/nReUGg4GQ+etJTryLnZ0t46cPoaJbObPfCZ6zGhcXJwaN/NqiPgaDgfnz5pOYmIitnR0zZkzHzc0tq/zYsWNs3LgJG2zo2q0LXbqYX0xpMAjsCj3Lw1svkdlJ6T22KaUrFDFx/BzD+cM3cSpqtEPP0U0o61rUojyO1Urj8okHCAJpkQ9RRj4QlUtdHCjRwRckNmADrw5cJ/2l+A6FwrCNwWBgwfxgEhOTsbO1ZdqM73F1M91mf/zYSTZv3IqNDXTu2onOXSxfXmcwGFgyfzXJiXewtbNl0vQRVHQzX3K1cM5KXFycGDKyjwUOgR3LTvHw1gtktlKCxgdSukLRrPI/fook4lA8zkWNtw33HtOcsm7FLMoye8Uibt5Ows7WjjmjJ1Opgquojlqjod+kEcwdMwV3t8q56rR8wWZuJd7H1k7G2Gn9qeBa1qze0rk/4uyiYMB3X1nkAfCtEsC4rlMIWtxN9Hlz308Z2n40GRnp7Dm3i5/P7rD4fRts6Nd4BpVK1ECfoWPtmak8fWtahtPYox3tfL/FYDBwMmEPf9zYlassjtVKU6RZNTAIpEU+IO2qeDmPtIgDJTr6YZMZky//E2PGcSb2EhsO70AqkdKhwWd0biS+IPJNWgpTNi9Cq9dRqkhxZvQejUOO/GAwGFgb/At3k/5CZitj+OSvKOdqugDutx0nObb/Ei5FFQAMndSdCpXKmHEsnL+UpMRb2NraMnXGBFzdKmaVnzh2is0bd2T6bwc6dWmXq11OR11g3QFjzuvUuBVdmuTIeakpTF7/Q6ZOJZj57Vgc7c11WjQ/lKTEW9jZ2jJ5xjhc3Spkk+cM4Rt3YmMDnbq2o2MXyxdIApy5fpkNR3cik0hpX+9TOjdoZWbjqVsXo9XrKFmkODN6jMQlhyxzNywl4a5RllmDJ+BWrqKIQ63VMHDOGGYNmYh7hUq5ynL2xhU2nvwZqURKuzrN6fSR5Ytbd507wMu0Nwxr1dvMLgvmLSIxMQk7OzumzZicI8+cYPPGcGywoXO3TnTu0tEiv8FgIHj+cpITb2Nra8v3M8aI7Hvy2Fm2btwFNjZ06vo5Hbp8bpFj0fxl2dpofI42Op3ZRjZ5tpHBYCBs4U7uJD3A1s6W76Z8TXnX0mb1ls/firOLgm+HW77s2GAQ2LT0EPeTn2BrK6P/xPaUrVg8q/zQrgucOhiFS1HjnR19x7elvFvJHBwG5v0wn4TEROzsbJk5bYaofzt05DDbdmxHKpFQzbMaU76fjERivuDEYDAwb948EhMTsbOzY8YMMc/hw4fZtm0bUqkUT09PpkyZYpEHICLxGpsi9iGVSGjn15QOAZYvU9x9+TCv0lIYEijOnwaDgXkbQ0i4dws7mS0zB43HrazJf09dPc/aPVuQSqV0avY53VpYjm2DwcDssGAS7hj7uNnffU+l8ub9Qf+p3zFn5GTcXStb5ghdSMItY58ye9wUi31K//HDmTN+aq59CsCZmIusP2TMMx0atqJL4zai8tdpKUzZuBCtTkupoiWYETTGbGxlMBiYHx5K4v1b2NraMaPvWNzKmHz4dOR51v62DZlEQscmbejazLIPF8Y4TzAIHF5/k2f30pDKbGg7xIvi5Uz3yzxKTuHY5iQEBJyK2tPxO29kdv/OCcL/a/ifWHKmz0hnyc9rCBs5nw3jgtl79jAvUsTrUdcf2E7rj5uzcfxSarh5sOeMhf0hUhvK9P6Y+wuOcm/OEYo2r460iKOoSqluAbw6epP7847w8rcYSn1ZR1QecfIyOp2O1eE/MPC73oQt3WL2M//55Si3k/JeY33yxEm0Oh3hW8MZOfI7li4x7YnJyMggNHQ5a9euIXzrFrZsDuf169dmHNHn7qDXZTBhZWc69a/HnjUXROUPkp7zzaTmjFnagTFLO+Q6mUFiQ9HPavJs+2Webr6IU21XJAo7UZUizauR+uc9noVf4m3ELYoGVjejKQzbnDp5Bq1Wx+bw9YwYOZSQpStEdlkRGkbY2uVsCl/P1i3bef36jUWesycvotPpWBu+mMHffcPKpRvN6vz6y2FuJ93NVZaoiFvodelMWvUFXQY25OewCFH5/aTn9P3+U8Yt68K4ZV0sTmYAjp0/jVanY1foj4zpN5RF68Qb+q4n3uDrsYN48Djv9cjnTl1Fp9WzYvNM+o/4ijUh5pONA3uOcyf5gYVvm9Cv1VDmBi3GztZe9LlMKmPSlzPpF9KDr4O70r1Jb0q6WL7t+qPKLbGV2jPtt6/YeXkJX9cX3x7du/4E5hzsy7T/9KSd77co7Fws8iCxoVhrb56FX+LJpvM41XFD4iSWq2hgdVIv3+Xp5guknEmmWEvxPp70jHSW7lnHyuFzWTdqIfvOHebF2xz54fBOWtdtxobRwVSvWJU9Eeb7Zi6djkWn1bNww2iChrVn0/LfROW3Ex4yckYv5q0ewbzVI8wmMwCnTp5Fq9WxMXw1w0cOYtlS05rsjIwMVoauJWztUjaGr2brlp28ycV/9enpLNm9ltWjf+DHCYvZc+aQWc5bt38bbeoFsnHiUqq7VWXP6YNmPKdPRqDT6vgxfCVDRw4gdOlqkTyrQtezcm0wG8JXsm3Lbt68trw+Pz0jnZDfNrBy8BzWDv+BfReO8OKtOCdtOLqLVnWasv67hVSv4M7e80dE5Sf+PItWp2P7/NWM6jWI4HDxevW4WzfpM30ED57kva8kPSOd0EObCf12Gqv7z+K3P4/xMlUsi0avZcZPofxy6YhFjlMnjDG5eeuPxjyzxBSTxjyzirC1K9m0dQNbN2/LNc+cOXkOnVbH+vDlDB3ZjxVL14p4wkI3sHztItaHh7J9y88W7Wtqo1UMHTmQ0KVhIg5jGy3Ot40unI5Cp9OzZOMk+gzrzIbQX8zqHN57hnvJee+vunr2JnptOrPW9OPLwS3YvuqoqPxu4hOGTO3I1BXfMHXFN2aTGYATJ0+i1WnZtiWckSNGsjjE1L9pNBpWhq3ix7Xr2bo5nNS0NE6fPWNRlhMnTqDT6di6dSsjR45kyZIlYp6VK9mwYQPh4eGkpaVx5oxlnvSMdJYf20ZIj0ms+noav0We5GXaG1EdrV7HrN/C2HvlD8uyXIlAq9OxbU4YI3sOZPFWUyzp09MJDl/J2smL2TQjlD3H9/PizUuLPMcvnEGn07FzyXrG9BnKog0rROXXk24QNHEI9x/n3k7HI04bOVZuZMyAYSxanaNPSYgnaNRA7j/Ku0/RZ6Sz5Je1rBoxn/VjgtkXYZ5n1h/cTuuPmvHjuCVUd63K3rPmY6uT186h1esIn76SkV/0Z+nONSLbLN6xmjXjF/Lj5BD2nDrIizfm+4kKa5yXcPk5GXoDfeZ/RGBvT45tMe0DFASBg2tu0G6YF9/M/Qh3/xKkPC/4fq1/GhIb6T/27x/V6+9+cdOmTQQFBREWFsarV0an2bx5s6jO3r17efjwISNGjGDVqlVm5Tnx/PlzDh06xNGjR1mxYgVz584lLS2N4cOHExYWxq+//vq3ZL3z+D6upcrjonDGVmaLv4c3kcnijehRyXE09DZu4GvkXZfLNyLNeOzLF0X3NBWDSgcZBlSJT5FXFz/Berb9T9KijANCG6kEQZ8hKo+JvMHHDQMA8PatRkK8eFPy9egE4mIT6dDN8hPDd4iMjKRRw4YA+Pr6EhcXn1UmlUrZt28vzs7OpLxJQRAE5HLzG2xvxT7B6yPjUxl3rzLcS3guKr+f9ILfd0SyeORvHNlhbo93sC3pRPorFYImHQwC2gevsXcrLqrz5ugN1EnPjH9IbBDSDWY8hWGbqMhoGjaqD0AtXx/i425klUmlUn7ZtxNnZydSUt7ZxdEiT0xkPPUaGiejPr41uBkvfhN3Pfom8bEJdOzW2tLXAUiOfYz3x8anxO5eZbmX+ExUfi/xGYd3XGHhiF84vD33zafXrkfTuK5RJ/+atbieeFNUrtPrWDFjEVUsPIkTyRyVwEcNfQHwquVBYrx4Y2d8TBI3YpNp18Xyk8d3ePD8LiNW9zf73L2sJ/ef3eWtKgV9hp6rSZep41nPIkf1snWIfngWgKRn0VQt5SMqv/8yEbmdE3ZSO7CxQcDyYYy2pZxIf6XEoNFDhoD2/isccvje69/jUWfa3saC79158sCYH+TG/OBX1Zuo5DhRnahbcTTwMvpDQ6+6XE6IMpPlRvRtajeoadTPpzLJN8UTw1s3H7BnyzG+HxjKL1ssD3qiI2Np2Mhos1q+3tyIS8gqk0ql/LRvK07OTqSkvAVBwDEX/73z+D6upU05L8DDm8gkCznPJzPn1fqISxZyXnTkdeo3+ihTHi9u5pBn977NWfIIArnL8/QBFUuWw0XuZMzBVbyIup3DxrfjaVAj08Y163I5MVpUfu1GLI0DjLbxq+ZN/K0EUblOryd0/FyqVHAjL9x5/pCKJcri4miUxa9SDaLu3hDV0aXr+TygKX2adbXIERUZTcOG7/JMLeLjTDFpzDO7jXnmTd55JjoyLsu+Pr5e3IhLFPHs3LcRJ2dFpn0tt3d0ZCz1G32cKYsXN3Nw7N63JVsb5e4z8VHJ1GngDUCNWu4k3xAfMHEj5hY3r9+mdZcmFr//Dgkx9/GrVxUAT++K3Lkp3hB/J/Exv209x6yhm/hta4QlCiKjImnUsBEAfr6+xMebfMXOzo6tm7bg6GjUIyMjHXs7O8s8kZE0FPWTYp7w8PBsPBnY5cJz98UjKhYrg4ujAlupDF/XakQ/EPufNl1P61qNCWpk+W1c5M1YGvkb28nP05v426bv3/nrHq5lK+DilBmv1Wtx7ablQyyuxUfTuI7R9/xq+BCXnMN39TqWT12Au2vubyivXY+i8UcNjBxetYhLyMmhZ/ns4DzfzADczTm2qupjPra6FUdDr3djq4+4dNM8z0QmxtKoljEOfD28iLuTzTaP7uFapoIpl3n6cC3R3DaFNc57cPMN7v4lAKhQrQiPb6dmlb16pELuZMvlg/fZOv0KmjQ9JSoo8rSRFf8c/vaE5ttvv8Xb25u0tDQ2bdrEX3/9xeXLl7l8+TLr169n4cKFWXVtbGxIS0sD4KeffmLz5s1EREQwffp0Vq9eTUhICAsXLiQ5OZno6Gjevn1LsWLF6NSpE1KpFBsbG2QyGZUrV/5bsio1KpwcTU6ncHAkTS1e7pSmUWbVkTvIzcoBJI62GNS6rL8Naj1SuTgBZqRpIUPArpwLpXvW5cXeKFG5SqlG4WSaXEikEtLTjZOel89fs3ntbkZPGpC/TkolTs5OWX9LpVLS09Oz/pbJZBw/dpzu3b+kTp3ayGTmqwvVKj2O2d6kSKQSMjJMg706zavSc/QnjFrcjlvXnxB7wfIJShJ7GQatPutvQZeOxEH8ewa1HgwCshIKirWsScqZpJw0hWKbNKUSJyeTXSQW7HLi+Cm+6h5EQB1/i3YBUCpVucry4vkrNq7dwZhJg/OURaPSiexrI7ER2fejQE96jWnO2KWdSYp9RMwFyyfHpKmUOCuytbVEQnqGSafa3n6UK23+tD8nVGk57CuRkJHNvlvW7mXExD758hy9doj0DL3Z506OzqSqTclfqVHi7Gj5zYrcToFKZ6prEDJET3MevE5iQec9LP7iANfunRLVzQ6j75lsYdBa8D1VNt9rVZM3p8Qnbxnzg8kuCntH0jRK8zoO7/KDef4AUCm1yBWm5QsSiU2WfQEaf1qbIRO/YPaqYdyIvsOfEXFmHEqlEoWTKVcZ/S6n/56mZ/dvCajjl7v/5sh5cgc5qaocOqlNdRS55DylUoWTSB5pVhwY5ZFy8vgZencfQEAdX2Qyy0/kjPYz2VjuYMHGWnVWHbmlNlArcZJnkyVHHATUqEXZkvnHgVKjRpFdFntH0nKcHuni6EQ9T/9cOdJy5F+L7XTsJF91701AnYA88oxSZF9ptjxj5JFy6vhZgroPxr9OLYv2NW8jcw5jG/XPs41USg0KJ9NkJ7v/vnqRwo71BxgyoWeuNnkHtVKHY7a3pEYeU96r38KbfuPaMiU0iMSY+1w7Z34SXl55XCKRUKKEccC5Y9dOVCo1Deo3sCiLUqnE2dk5629pbjw7dqBSqWjQIBcenRqFvck2cjtLPqOgnruvxe8DpKmVODlm0ymb/6aplThnK1M4yklVpVnmUSlxUmTnkYr7Ay8/ypXKOw7MOKQ5+hSf9+tT0szyjHluzJ6L5PaWc2f2XAQglUhJz8gw+z6AwtGRNAu2Kaxxnladjr3cFK8SCRgy+21Vqp6HiSnUaVWRntNrczf2FXdiCn76nBWFgwLtoUlOTiYoKIgKFSoQGxtLzZo1sbe3Ry6Xk5CQgKenJwDNmjWjS5cuzJw5kw4dOnDmzBkMBgMlSpSgffv2XL58mSdPnuDq6kr16tXx8fGhePHi7NmzB71eT7Vq1Rg4cOAHy7fq181E3Yoj6eFtfKqYlpkoNWpR8gBwclCg0qhxsLNHpVGJOs5SXwTgWK0MDm7FUN8yvcWQONqSodKRE3KvspTtU59Hq8+ie/xWXKZwRKUyHUspGAxZHczJP86T8iaViSPm8erlazQaHW5VKtCmg/kTc4VCgVJpSqgGg8Gs02zRsgXNA5szfdp09u8/QKdO4idHjnJbtOpsExGDgFRqnOMKgkCLLrWyOiafem48SH5BrQampz5FmlfD3rUYtmWc0f31JutzGzsZBo0pOb6DfeXiFG/jw8tfo832zxSWbZwUCpRKZQ4OsV0CWzSjWfMmzJw+h4P7D9Ohk/laZYVCnkMWIZssEbx585ZxI2ZlyqKlUpWKfN6hpYjDQW6HVpWHfbv6I8+0r2/9ytxPeo5vgypmsjjJFSjV2dpaMCCTfnjoyp0cUWU7ElUQDEgzdTpz7DJv36QyeWQwr1+kGO1buTytOuT9NDY70tSpKByydygKUlWWl7eodEocbE11bZBgEIwdmFvxagS4NWX4zpZo0lWMaB5M/SqtuHjn96z6RQOrY+9W3Mz3JPYy9BZ9rwQl2vnwYm9Ulu+FhIRw+dg5kh/dwaeyaQmkUqsWDTyMushRad/lBzXOjuZP5eQKe9QqbdbfgkHIsq8gCLT/qmnWgLFOQy9uJz7ko8be4t9RKFBli2uj3+X036Y0a/4Js6b/wMH9v9Ohk2md+Kp9m4hMiiPp4R183E06qTQqnOVimRWOclQaFQ529ig1KpzlYp2N8shFPmPIFpPv0LxFE5o2b8zs6Qs5tP8o7TuZ1tCvPrSVqNvxJD++i7dbtWzyqHF2yGFje0eTjbXmNlY45owD4YPiYM0fO4m+d4NbT+7jVdHDJIuF38oPTjnyr8U807I5zQKbMnPabA7uP0SHTu3NeIx5PLt9BTP7NmvxCU2aN2LO9GAO7/+Ddp1a5+CQi3wm7zZaYNZG7yBXOKBWmpbPGAST/0Ycv0pKShozR63g9csUtBodFSuX5dN2Dc14HBV2aLL1i0YeU95r80U95E7Gib9/Q0/uJT2hdqNqIg4nhQJVtjyes38zGAwsDV3GvXv3WBq8GBsbGzM5jLYR9weWeEJCQrh37x5Lliwx41l36idiHiSS/Ow+3uWrZn2u0qlxdjBf9ZAXnBwVqDSW87iTowJltjKl2nI8wrv+IEcf94H9gTnHh8VS2G+ZY6u/7uBT2TS2UmnUZnIrHOSmsZXWfOwFxlyk1GSLA8GATCrN+r7YNmrRA76QkBD+PHG+wOO8d7B3lKHTmB4ICAbjhA/A0dmWYmUdKeVq5HX3L8GT22+p4lvcjOe/GdZjmy3Aw8OD8+fPc+DAAWrXrs3z58+JiooCECWRkydPsmrVKsqXL8/9+/cpWrQoT58+Ndt8J5fLuX79OgkJCezatYuUlBRKlbK8Bv99MKxTH9aPDeaPxbt58PwRKcq36NP1XEuKxde9pqiuX1UvIq5fBuBc3BVqe5iWwDz/OZL7846QOHQXdmVcjPtDpBLkNcqgThIv05J7laXM1x9zf9EfaO6Yr4Gt5V+DSxHXAIiLSaSKh2mC0K1nW9bvCCZ0w2x6ftuZlq0bW5zMAPgH+BMRYXxdHxMTg6enqYNOS0ujX99+6HQ6JBIJjo6OSCTmCd/dpyzXLxn3o9yOf0r5Kqag1Ch1zOn/Mxq1HkEQSIj8C7dq4rZIOZnIs/BL/LXkOLJiCiQOtiCxwcGtOLqH4jXp9pWLU6yVF892XEb32PIgtzBs4+fvy7kI416g2JjreHiaOqG0NCUD+g3JsouDoyM2FuxilKUmFyOMy8Cux9zEPZssX/TswMYdy1i54Qd6f9uNT1s3NZvMAFT1KUfspbsA3I5/QgX3ElllaqWOWX13oFHrEASBm5EPqVTNfAMuQG1vX85cNh4uEXUjlmqVPSzWyw/eftW4fM64jCc+NpkqHqZNoJ17tGL19rksXTeVr/q0J7B1gw+azADcfpJEpdJVKCIviq3Ulo+q1Sfy9lWLdROeXiPAtSkAnqX9uP/K9JRWpUtDl65Bl6FFEAykqF+isC8i+v6bEwk83XyBh8F/ICuuQOJoC1Ib7CsVR/sgp++VoHgbb55uvYzukcn3Ro8ezbpRCzn6ww4ePH9MijIVfbqeyOTr+FYR77Pxc/fiXJzxPp/z8Vfwz5Yf3qGGrztXzxuXfiZcv0ulqqYDLVRKDd/1XIhapUUQBGKvJlG1hqsZh5+/D+ciLgIQGxNHVU/3rLK0NCUD+43IFtcOZnE9rPO3bJiwmGNLd/Pg2SNS0jJzXmIsflW9xL/l4U1ErFGnc7F/EuBprpOvvw/nIy5lyhOPRw55BvcblUMecU4f8vnXrB3+A7/P3srDF9lsfDuOWpVz2LiKF+duGGPu/I0r+LuLJ3sBNXw4e81om+jEODzd3PkQDP60B6v7z+bQ9xt4+OoJKapMWe7ewMe1Wv4E2WUN8OVchDEmY2Ni8ciRfwf0HZwjz1juan39vbmQad/rMfFU9TQ90FCmKRnSb4zIvpZ48m+jkfn2BQBefh78ed64ROdm7G0qVzVtyu7wZSDLw6ewYM1Yun3TmqatPrY4mQGoVsuNqAvJACTFPcTV3ZTX1EotE79Zg0ZlzHtxV+9Spbr5wS/+/v6cPWfs36JjYvD08BSVz543B51WS+jSkKwlY5YQEBCQo58U88yZMwetVsuyZcss8gxs1p2VX0/lwKgwHr5+ylt1GvqMdKLv38SngqdZ/bzgX92Hs5GZ/psUh6erqZ2qVKjE/ScPs+L16s0Y/Kp5W+QJ8PLl7J/GPi765nU8K1e1WC8vBPj4cfaS0X+j42PxdP8wjqEd+7BuTDBHF+3KHFul5jq28q/qTUTcu7HVnwRYyJ3+nj5ExBh9OCY5Hs+KpjioUr4S95/+ZcplCTH4Zstlo0ePLpRx3ju41ijCrWsvAPgrMYVSbqZJUbHSjug0Gbx6bJxgPbjxhpKulieeVvzzKNAbmokTxRt5Z8+enfX/Xr16Zf1/xQrxprWcqFjRdNLH9OnTzcpHjBjxd0UEwFYqY0y3QQwLnYJBMNCxYStKFytJivIts8OXsWTIdPq37cn0TcHsizhMUScX5vf73pwoQ+Dptsu4TfwMJJByOpn01yokCjvKDWjEX8tOUqb3x9jIpJQf9AmA2eD9k8B6XLkYw9BvJiMIApNmDeOPw2dRq9R06PrZe+sUGBjIxQsXCQr6BgSBWbNncejQYVQqFd26daXN55/T99t+yGQyPKt50rat+akg/o2rcPPqQ4JH/IogCARNaMbl40lo1Xo+aedFx34fs2zsfmS2UqoHlMenXi5r0w0Cb/64QaleHxmXF0Y9JCNVi8TBluLta/Hi52sU+8wLG6mEEh39ANC/VPL6oHh9a2HYpnlgUy5dvMy3QQMQgBmzpnD40O+oVWq6dOtEmzat6N93iNEunh583tbyHpgmgQ3482IUg78ZjyAITJ41kqOHT6FWaejYNfd9M9kR8ElVblx9wILhP4MA30xswaVjCWjVepq096FT/wYsGb0Pma2UmrUrUqt+ZYs8LRs14/y1y/QY1R9BEJg/dhoHTvyOSq2ie9vO7yULQOPmdbl26TrffTsLQRAYP2Mgxw+fR63W5LtvJi+0+7gzcns5P53dzsKfZrFh9A4kNhL2ROzi2ZsnFr/z550/8K3QkNkdjKcvrT71PY2qtsPBVs7xmz9x7MZuZnfYTrpBz9O3DziVuM/yjxsEXh+Jo/TX9cAG0iIfkJGqQeJoS4kOvjzffZXibbyxkUoo2dkfAP1L8XIFmVTG6C4DGLFqKgZBoEP9TyldtCQpylTm7ggleMBU+rX+iplbl7Lv/BGKKoowr88EM1HqN6tF9J8JTBywDASBEVN7cvr3q2jUWlp1akjvIW2ZNmwltrYyfD+qRt2GXmYczQKbcOniFfoGDQFg+qxJHDn0ByqVmi7dOtC6zacM7DsCmUyGh2dV2rS1HBe2Mhljuw9i6LLJCAYDHRu3Nua8tLfM3hLCkmEzGNC2J9M3BrP3zCGKOhfhhwGTLMjTmMsXr9I/aDgCMG3WBH4/dByVSk3nbu1o1aYlg/uOQiqT4enpTuu25hP7dzYe1bE/I9ZON76tqvcppYuWMNp49wqC+06m72fdmbljGb9eOEpRJxfm9h4n4mjxcRMuxFyh95QhCALMGTaJg2f/QKVR88Wnlk8rzE2WkW36MGrzXAyCQPs6zSldpAQpqlTm71vNwl7mbZsTzQObcenCZb4NMsbkjNnTMvOMii7dOtPm81b0/3YwMpkUz2qeueaZpoGNuHzxKgOCRgICU2aN4/dDJ1Cr1HTq1pZWbVowpO9YZDIpHp7utG7bwoyjWeAn2dpIYNqsifx+6FhmG7XPbKOR2drI8h7EBs38ibx0g7H9FoIgMGp6H04duYxaraFN5/d/uFG3SQ1ir9xm5pCNCILAoO87cu6PWLRqHYEd6tB9QCDzRoYjs5XiXacK/g3MJwYtmgdy8eJFvu4TZGzrmbM4ePgQapUKLy9v9v36K7UDatN/kHEJcq8evWgRaJ7DAgMDuXDhAkFBQQiCwOzZszl06BAqlQpvb2/27dtH7dq1GTDAyNOzZ09atDC3sUwqY0TL3ozeuRBBMNDWrymlXIrzVp3GDwfX80O30fnapcVHn3Ax9gpfTxuGgMCcwRM5GHEMtUZNt5btGff1MAbPH49BEOjcrA1lilt+mNuyQVPOR16m51hjHzdv1BQOnPodlVpN9zad8pUDoGXjZpy/eomew/shIDBvwnQOHD9i5Gj3/n2KcWw1kOErJmMwCHRs+FlW7pyzLYTFg6bTr00PZmxZzK8RRyjq5MK8vuZ5JrBOYy7GXSVozgjjeKb/BA5dOI5Ko6Zb83aM6zGYIYsnGXNZk9YWbVNY47zqH5fmdvQrNk82PuxpN8yL62efoNOkU/vTirQb4sWvoddBgIrVi+BZx/xQi/922PxL39DYCIJgebftvwAFvT0WjDfI3ui1uUAcNbf3AeCJ6nreFfNBWbkP6hzrdv8OHB3knHi4NP+KeSCw4hjuz7ZwEtwHwm3654ViF4A0dcHWsjo5Fue5qmA3mwOUklfj9KOVBeJoWn44AIZ7bwrEI6lUlAdpfxaIA8DV6SNqDDA/tvpDcHP9I75cVyP/ivlg98Cb3JtxoEAclWYZlxmm/nErn5p5w/nTqtx4bX7i2YeiZrE2vFU/LRCHi2MZVGct73P7EMg/qcQbdd4nWb0PijpW4O2hgsWTy+fV0MUUzC4Adr5leP2L5U3W74ti3WoBkKZ5UyAeJ4eivFLnfYrl+6C4oxtv1Hmf6JYfijqWJznlVIFl8SjSjCvPtheIo25p40NQbbYleH8H9gpHNJqCnzzl4ODAi/DcD2t5H5QMMm5A10Y+zqdm3rAPKEdGcsH3akg9ipPxl+UVEu/NUaEIaScs7/f8EDgFVkF9Me9T1PKDY33jw/CCjvUUzSoTHjusQBwAQbVW5V/pvwAXn27+x36rfpk+/9hv/c/cQ2OFFVZYYYUVVlhhhRX/y/i3Xqz5P3EPjRVWWGGFFVZYYYUVVljx78S/esmZFVZYYYUVVlhhhRVWWGFEQZeHfgjeLSX9J/CvXnKmupD3jefvA3kDV+K6bSgQh/cvxksI414VbN2/d/F2vFU/z79iPnBxLEXUi58LxOFf8gseLT1ZYFnKj2leKGvSAbSqAq69ljvySn23QBwAxR0rk/DmaP4V80D1osbN3oY7r/OpmTckVYoVeJ09GNfaF3T/y+6BNwu8DweMe3Fuj9tTIA73xcYLEwtj7fX+2zMLxAHQ3n0mGnXB1v07ODqgOlfwvRnyRm48U93Iv2I+KC2vydM15wrEUWZwowKv+Qfjun/9jYLlTtuaxo3IfymvFYingqJ2oe1rK4z9JokpxwssS7UiLQpvD00h5HHd24LvNbVzkfN6r/ldUR+CYl2MJ5XprhdsH5idT5nC20Pz6G3+FfPiKO9SaHtoNFcL1jc51DH2J4WRx7ddL9jhUwC9ffI+AMuK/3/xr57QWGGFFVZYYYUVVlhhhRVGWO+hscIKK6ywwgorrLDCCius+C/D/8QbGoPBwPzw5SQ+uIWdzJbpfcfiVsZ0adjpyAus+89WpBIpnT5pTZdm5ne2vINTHTdKfxGAkGHgzclEXh9LEJXLijpSYWQzbGRS0l+r+GvlaTNZ1gXv5W7yI2xtZQz9vjvlXE3nmP9n52mO77+ES1HjZU2DJ3ajQiXzCxcNBgML5y8hKTEZW1tbps6YhKub6T6fE8dOsXnjNmxsbOjctQOdupjfUm0wGPhx8X7uJT/B1k7KoEmdKVvRdPnjgV3nOLn/Ki7FjDciDxjfkfKVLJ+Nb+9eAuf6lcEgoIp7jCrW8jGVioCKSBR2pEbctijPgnmLSExMws7OjmkzJuPqZrp88PixE2zeGI4NNnTu1onOXTpa5Jg3fz4JiYnY2dkyc/oM3NxM9+ccOnyYbTu2I5VIqOZZjSmTJ5tdBviOJ3j+CpIT72Bra8v3M0bh6mbymZPHzrJ1409gA526fk6HLuY3bxsMBtYs+ok7SX9haydj+OSelHc1t9/K+TtxLiLnm2Hm+rzjmb0ymJu3k7CztWXO6MlUKi++lFGt0dBv8gjmjp6Cu2vlXHkWzV9GUuIt7GxtmTxjvEinE8dOE77ReC9Mp67t6NjFPA5ssKFf4xlUKlEDfYaOtWem8vStaZlTY492tPP9FoPBwMmEPfxxY5dFWd7Bt0oA47pOIWhxN9HnzX0/ZWj70WRkpLPn3C5+PrsjVw65VzmKfloDMgRS/7xLauZlpu8gLepIqe51sZEaLxR88Yv5kqHT0RdZf3A7UomUjo0+o8snn4vKX6elMGXDAjR6LaWKlGBmn7E42jmI6hgMAntXXeHx7ddIbaV0H/UxJcs7Z5XfT3jJ/vWRCIKAczFHek5ogK2dNAeHgXnz55GYmIidrR0zZoj99/Dhw2zbvg2pxHi/yZTJU3L13/nblpP44LYx5/UZI855URdY959tSKVSOjVuTZemn5txvONZOn8tyYl3sbWTMXH6cCq6mV+EuGjOKlxcnBk8MsgiD8C5W1FsufQfpBIpn3s3pn2tphbr/XTtKK+UKQz+5AszWWaHLiThVhJ2tnbMHjeFShXM46D/+OHMGT8Vd7fKueo0Z+0SEu8mYyuzZfbwSbiVqyjm0WoYMGM0s4dPwr1iJYscoT9s5FbifWztZIybNpAKbmXN6i2Zsx7nIk4M/K5HrrIsX7A5i2fstP5UcDXnWTr3R5xdFAz47iuLHPN+yJbzpuXIeUdy5Lzvc895qxfuyspXI6b0oryred+zcv52nFwU9BneKRedBDYtPcT95CfY2sroP7E9ZSuaLm0+tOsCpw5G4VLU2K/0Hd+W8m4lc3AUXh6fu3A+CUnGeJo1dTpurtl4fj/Mtp07kEgkVPP0ZOpEyzwAZ2/8ycbjPyGVSGlXtwWdPrZ8n8+uiP28THvDsNZfm8uyfikJd435d9aQCRb9buCsMcwaOtGi373jmR0WTMKdZOxsbZn93fcW+4P+U79jzsjJFvsDg8HA7GXvYsmW2eOnWo6lccOYM2FarrEEcCbmIusPGXNnh4at6NJY3Be+TkthysaFaHVaShUtwYygMRZyp4F5m5aReM9omxkDxuNW1pSvTl09z7p94cYxWrM2dA1sZ1GWwsjjgkHg0PobPL2bisxWQrsh3hQvJ88qf5ScwtHNCSCAoqgdnUfWQmb3/9YbD+sbmv+HcfLaOXR6HeHTVvDdF/1ZumtNVpk+PZ0lO1ezetxCfvx+KXtOH+TFm1zWqkptKNunHnfnHObujIMUa1kDWVHx7cIlO/nx5lQSd6cdQPvwDcU/E99Ue/nMdfQ6PQvWf0fvoW3ZvOI/ovLbCQ/5bnoP5oQNZU7YUIuTGYBTJ8+i1erYGL6W4SMHs2yp6d6TjIwMVoauIWztMjaGr2Hrlh28ef3GjOPPMzfQ69KZu24QPQa3YusK8X0adxIeMWxaV2as7M+Mlf1zncwgsaFIMw9e7onmxU+RyGuVRyK3E9eRSSjapiYK/wqWOYBTJ06j1enYvPVHRowcSsiSUJFOK0JXEbZ2JZu2bmDr5m28tqDTiZMn0eq0bAsPZ+R3I1m81HTfjkajYWXYKn5ct56tW8JJTUvj9JkzFmU5c/I8Oq2e9eHLGDqyLyuWrhPJEha6keVrF7A+fBnbt/zCm9fm6/wvno5Bp9MT/ONYgoZ2YGOo+eWQR/ZGcO9W3uuIj50/jVanZdeyDYzpO4xF65aLyq8n3uDr8YN58Djvu0NOn4xAp9XxY/gqho4cSOjSMJFOq0LXs3LtYjaEr2Tblt0WdfqocktspfZM++0rdl5ewtf1xZfr9q4/gTkH+zLtPz1p5/stCjuXXOXp12ooc4MWY2drL/pcJpUx6cuZ9AvpwdfBXenepDclXXL3vRIdfHmyLoJHq0/jXL8KUmcxX/HW3rw9d4vHq8/w5ngCxT8X3w6tz0hnyc9rCBs5nw3jgtl79jAvUsQ5YP2B7bT+uDkbxy+lhpsHe86Y38EUd+Eh6boMRoR8Rttv/di/PjKrTBAEfll+mS/H1GP4kk+pUbccr58pzThOnDyBTqtja/hWRo4cyZKlS7LKNBoNK1etZMP6DYSHh5OWlsaZXPz3ZGRmzpuynO+69WPp7rUmfdPTWbJrDavHLuDHiUuMOS/Fcs47e/ISWp2ONeELGfxdEKuWbjKr89svv3M7Ke+9O+kZ6aw8vYslXcay/IuJ7I89zUul2L+06TrmHF7HvugTFjmOR5xGp9Oxc+VGxgwYxqLVoaLy6wnxBI0ayP1Hed9tcfzSWXQ6HdsXrmV00GCCN4nvjLqefJNvJg/jwZPc4yni5BV0Oj0rt8xmwIgerA7ZZlZn/y/HuJOc9z7Oc6euotPqWbF5Jv1HfMWaEPOJ+4E9x/Pkycp5W8IZOWIki0Ms5Ly169m6OTPnnbXsMxdPR6PTpbN443i+GdaJjaF7zeoc3nuWu8l556urZ2+i16Yza00/vhzcgu2rxPsJ7yY+YcjUjkxd8Q1TV3xjNpkR6VTAPH7i1Em0Wh3bN4Yzavh3BC8T86xYHcaPa9axbeMW0vKwTXpGOqEHNhHabwarB87ht8tHeZkq3t+o0WuZsXsZv1w8YlmWy2fR6nRs/2E1o3oPIniL+M6SuOSb9Jk2ggdP87bv8QtnjHGwZD1j+gxl0Qbxvo3rSTcImjiE+3n0B8cjTqHTadm5aiNjBg5nUdgyMUdCPEEj848lfUY6S35Zy6oR81k/Jph9EYfMc+fB7bT+qBk/jltCddeq7D1rnjtPXIlAp9exdfYqRn41kCXbTX2TPj2dxdtWsWZSMBunL2PPiQMWx2iFlcdvXn5Gus5A3x/qEdjbkz+2mB5aC4LAgdXxdBjmQ595H+MRUJI3zwt+55EVhYN/ZEKj0WiYMGECDx+agmPz5s08fPiQESNGEBYWxp9//smKFabA/OmnnwgLC2P+/PkYDAaCgoIICwvjxAnLnV1eiEy6TsNaHwHg6+FF/B3TZW93Ht/HtXR5XBTO2MpsCfD0ITLR8gVs9hWLoXvyFoNSh5BuQHXzCfKa4qdpTzZfJOVMMtiAbQkF6W/EGxxvRN8hoL5xc3V1n0rcuiHuqG7dfMie8BNMHrSCPVty36wZHRlDw0b1AKjl68ONuJtZZVKplJ/2bcPJ2YmUlLcgCDjKHc04EmLu4VffeEtzNR9Xbt0UJ8DbCY/4desZpg9Zx77w02bffwdZcTnpb9QI2nQwCOj+SsGuQhFRHRupBHX8E1Iv5X7xX1RkNA0b1s/UqRbxOXT6Zd9unJ2dSHmTgiAIyC3oFBkZSaOGjQDw8/UlPt60qdPOzo6tm7fg6Gj8XkZGOvb2dmYcANGRcdRvZLwUzce3JjfikkSy7Ny3ASdnBSkpqQi52PdG9G1q1zfeBl+jVhWSb4oHfTdj75Bw/S6tOzfK1SYA1+KiaVy3AQD+NX24nnRTVK7T61gxfSFVcnmiZ9IplvqNPgaglq8XN+NMcSCVStm9b0uWz+SmU/WydYh+eBaApGfRVC0lnhzcf5mI3M4JO6kd2NggkPshig+e32XE6v5mn7uX9eT+s7u8VaWgz9BzNekydTzrWeSwK+OM/kUaBrUeMgS0d17iUEU8QHr5nxhUNzLfGEptEPQZovI7j+/jWsqUA/w9vIlMFl/2GpUcR0Nvoz808q7L5RuR5MSduOdUr2N8e1GpZkkeJJk60+d/pSJ3tufMrwmEjT+GKlVL6Yrmk73IyEgaNmoIgK+vL3FxYv8N3xJu8t/0DOzsLPtvZFIcDX0yc15VL+Lv/r2cFxN5g3oNawPg7Vudm/HJovLr0TeJi02gQ7fPLH7/He69ekyFoqVxdlBgK5VRq7wnMX+JL93Upetp5dWQoI8tP329dj2Kxh8Z48DPqxZxCeKDC3R6PctnB+f5NBkg8kYMjWob/cmvug9xyebxFDppPlUquFn6OgDXoxL4qKEfAF6+niTEi984x0UnEh+bTLuu5rfOm/P4GnlqeZAYL95sHR+TxI3YZNp1Ccxdn6h8ct6mHDkvF5+Jj7pFnQamfJV0Q5yrb8bcJuH6HVp3aZynTgkx9/GrVxUAT++K3Lkpflt/J/Exv209x6yhm/hta4RlnQopj1+LjqRxQ2M8+dXyJf5GvJjnx804Ohh50jMysLe3t8hz59lDKpYoi4ujE7YyW/wq1yTqbg7/S9fzeUAz+jTvalmWG7E0Dsj0u2rexN8Sr+7QpesJnTA3T78DuBYfTeM6xn7Sr4YPcck540DH8qkLcHfNvT+4FhtN448z7eJVi7jEHBw6PcvnLMo3lu7mzJ1Vfcxz5604Gnq9y50fcemmee6MTIiloa+xb/L19CLudrZ89egermUq4OKUma+q1+LazRgzjsLK4w9uvKFqgHGlSsVqRXl8y3SIwstHKhydbbl04B5bpv2JOk1PyQqKPG303wgbG+k/9u+fxD8yoXn+/Dk1atTg999/Z926dVy9epXLly/z6tUrbGxskMlkWa+Tf/jhB37++WdSU1MpVaoUnTp1wmAwIJFIkMlkVKqU96DNEpRqFU5yk9NJJRLSMzIyy5SiMrmDnFS1+ZNTAKmjLQaVPuvvDLXe/E0EgMSGqku7ovAph+qm+HQTlVKD3Mn0ilMilZCRbhpgNf7Un8ETujJr5RBuxNzhSkQ8lqBUKlE4meSWSCWkp6dn/S2TyThx/DQ9u/choI4/Mpn56kKVUotckbssDVvWov/4Dkxf3peEmHtcPXfTjANAYiczTmYyIegzkNiLf0/QpqO9l/eJXWlKJU7OTnnrdOwkX3XvTUCdAIs6pSmVODll55BmcUgkEkqUMCaqHTt3olKpaVC/gUVZlEoVTtnsK5VKSM9mG5lMyqnjEQR1H4J/nVrIZOaBq1JqUGRva4nJvq9epLBz/SEGT+iep00A0lRKnBU5/ddkl9refpQrVSZfnpw6SSzodPL4GXp3709AHV+LOsntFKh0qVl/G4QM0evrB6+TWNB5D4u/OMC1e6dEdXPi6LVDpGfozT53cnQmVW36nlKjxNnR8pseG3tbDBoTh0GbjsTBVlTHoNKBQcC2lBMl2tXi9R/izlupUeHkaLKLwsGRtBw5IE2jzKojd5CblQNoVHocFKbflkhsyMgwGH8jRcvdGy9o2NaTQT8EkhT1lKTIJ2YcSqUSZyfTMjVprv67A5VaRYMGufivWinSSZzzxPrKHRxzzXlGnzEtt8juMy+ev2Lj2l2MmTTI4ndFPDo1CnvTBFlu54BSK37Y4+yg4ONKPjm/moU0lRInRY78kD0OfPwoVzr/OEhTKXHOlvMlOeOppm++8aRSqlFks4s0W+58+fw1W9buYeSkb/OVRZUm5smeI4w8exkxsU/e+rxvztuVd84z9k2mNsqZr3asP8jgCeZL3nJCrdTh6GSaGEgkNmSkG7L+rt/Cm37j2jIlNIjEmPtcO5doxlF4eTyHz0jEPCUzebbv3olKpaJBvfqWebRqFA6mdpLbO5KmEceMi6MT9ar5W/w+mI81cvpdQI1alC35fv5rplN2//XKvz8wcuQRA7X8KFfafOmjGY/GPJfkzI3Z86vc3rwcjDnJOZcxWppKlWOMlgtHIeVxrTodB7lpbGEjscGQmcfVqToeJryhbmtXes+ow52YV9yJeWnGYcX/Df6RPTSurq4ULVoUtVrNs2fPsLW1pWbNmhQvXpxmzZrRpUuXrLpyuZwvvviCxMREFAoF27Zto3fv3tSpU4eBAwf+rd9XOMpRaUzHOBoEAZlUmlmmQKkxdawqjQpnuZPo+6W/qoO8Zlns3YqhTjYd/Sl1tEWr1Jr/YIbArdF7UNQqT4UR4nXicoUD6mzfMRgEpJkDR0EQaPdlExSZnUqdhjW5nfgXdRt7meukUKBSmnQSDILZAD+wRVOaNf+EWdPncXD/ETp0Eu+JkCvs0ai0Io7ssrTt3jBr8hXQsDp3Ex9Tp5Hp6F7nhlWwq1AE21JO6B6bnmLY2EoxZJvgvC+cFAqUIp0M5jq1bE6zwKbMnDabg/sP0aFTezMOlcqUpAw5OAwGA0uXLePevXssXbwYGxsbi7IoFHKRLAaDYDbAb9aiMU2aN2TO9MUc3n+Mdp1aicrlCgfUudj33PFI3r5RMmv0al6/fItWo6dipTK0aGfeoTrJFSjV2f3XgEz64aGrUMhFPmO0jVin5i2a0LR5Y2ZPX8Ch/Udp30m8HlqlU+Jga+o0bJBgEIwdj1vxagS4NWX4zpZo0lWMaB5M/SqtuHjn9w+SM02disIhe8ekIFUlXp5UrLUXDlVKYleuCNr7pjchEnuZaILzDg5VS1Gyiz/Pdv6J/nkaACEhIfx54jxJD2/jU8Xk10qNGmdHcQ5wclCg0qhxsLNHpRF3sFm/IbdFq842sTcISKXGZ0YKF3tKlneibCXjm8sadcvxMPkVngHiQYNCoUCpzNt/Q5aFcO/ePZYsXpK7/zoa5c36nijnyVFmy4cqjdos55nkkaPKdoyukC0OTv1xnpQ3bxk/YjavXr5Bo9HiVqUCn3cwvZVYf24vsY+SuPX8IV7lqph+U6fByd40QHwfGOPAZBvBIPytOMgZT4Lw4TxyhSPqbEcmZ8/jp49dIuVNKt9/t5BXL1PQarS4VS5P6w7me4bkTo6osvEIgiGL58yxy7x9k8rkkcG8fpGCRqPDrXJ5WnVoItZHoUCVj88sDc3MecG55zxj32RaPiMIJp0ijl/jbUoas0atysxXOipWLkPLduYTCUeFHRqVzvT7goBUJsnibPNFvax+xb+hJ/eSnlC7UTVznQoljytQqnLkzpw8y5dx7/49QhaZ86w5uoPouze49eQeXq6eWZ+rtGqcHT7sybzCMUceL5D/Zo+DD+8PnORiu3xoLIX9tpmoW3Ek/XUHn8qm3Gkplygc5KbcqTXPrWCek4x9nDRTVjkqdfYxmvg3CjuP2zvK0KpND/oEg4AkM487OtlRrKycUq5G3qoBJXl8+y1VfEuY8fw3Q4J1D02BkZGRQZEiRXjy5AlqtZonT8yfUL7bkHfx4kX279+PIAi4uOS+Dv994O/hTUT0ZQBikuPxqGjqWKuUc+P+079ISXuLPl3PtYRY/DzEE4hnu65yd8ZBEvpvx66sC1Ine2xkEuQ1y6FKfCaqW65/Q+TexmUnBo0ectxbWsO3CtcuGJ8QJ1y/R6Wqpg22KqWGUb2CUau0CIJA7NVkqtYQbxp8Bz//WpyLuAhAbMx1qnq6Z5WlpSkZ2G84Op0OiUSCo6OjxY2O1WtVIvKC8elY4vUHuFU1PdVRK7WM+3o5mkxZ4q7exr26+A6R1PN3ePlzFE/WnENW1BEbBxlIbLCrWBTd4w+/O8IvwJdzEeczdYrFw9Mjm05pDOg7OEsnB0dHbCzo5O/vz9kI4zKG6JgYPD08ReWz585Bp9MSGhKStWTBEnz9vbgQYbwr4nrMDap6Vs4qU6YpGdJvXDb7OliUpaavO1fOG5dK3Iy9QyUPU1u3/7IZIeETmL96JN2CPqVpqzoWJzMAtb19OXPZaJeoG9epVrlqrnLnBV9/H85HXAIgNiYejxw+M7jfyBw+Yz5ISHh6jQBX48DMs7Qf91+Znq6qdGno0jXoMrQIgoEU9UsU9kXMOPLD7SdJVCpdhSLyothKbfmoWn0ib18V1Xl9JJ7Hq89wb+YBbEs4IXG0BakNDu4l0dwVPzFzqFqKEh39eLLhHLqHb7I+Hz16NOvHBvPH4t08eP6IFGVmDkiKxdddvPfNr6oXEdeNOeRc3BVqe5i/SajsVYqbfxrXv9+78YKyVYpmlRUvq0CrTufFI+Obp9vXn1OmkrltAvwDiMj035iYGDw9xf47Z84ctFoty0KW5em//h7eRMQa2zrmVjweFfLIeYmx+FU1f2gCUMu/BhcijLaPi0nA3cP0hrxbz3b8uGMpKzbMo9e3Xfi0dRPRZAZgQKMuLP9iIr8NCuHhm2e81aShz0gn+q9EvMt/mB8H+Phx9pIxDqLjY/F0/3txEFCjFmevGnNndMJ1PCu55/MNc/j4V+PSuSjAuCzM3cO0obpLj9as3TGfkPXT6dGnA4GtG1mczAB4+1Xj8rloI09sMlWy8XTu0YrV2+eydN1UvurTnsDWDcwmM5CZ887lkfPmzUGn1RK6NO+cV9OvqjhfVTXl+w5fNmdZ+Pf/H3vnHRbV1b3tmyl0EGtsoCJYAAFrbLGgsUSNxhiTGKOJvSv22Hvs2BU1FqwpxhR7VxA7oAgK2HuMDYEZpjDn++MgwzAH0cwkX35553kvr+vN7M0za62917P3mbML364KpVP3FjRuWVvyYQagUjUv4k6JSxNTEu7h6W3cB6rO0DCm+yoyVdrsceUWFSqbHzJhLR2vHpQrNvGX8K3oY1I+bdYMNFoti+eH5Sw9y41+Lbqwss909oxfx72nj0hVpaHT64i9mUiAV+V8v1fSlioBRMZk97vkhL/U7wCq+wUSee6UyHP1Mr5/YTwQc0m8I+qv5NKA9l+xevg8Dszdnq2daflqZ3BFf6ISXmnnOapLaGf1ygFExWXrVUoivp7G2FQoXY47j+7l6NWFKxcJ9DXqlbV13LOKB9dingBwL/kFJcoZH4oKv+OELlPPs4fiw9edK89zHm5s+P+Pf+yUs9xvYQBatBDXXNeqVSvns8GDjRcbdetmelpO7rK3RUjNhpxOiKH7jCEIgsDUnqPYe+owKo2aj5u0ZcRn/RiwYCyCQaD9e60oUdh8kyIAWQKPNpyh3IRWYGfHi6NJ6J+pkLs6ULr/e9ydd4inexIo3bchCAKCIPBgTTS+i40nOL3bOICLZ5P5pvcSBGDQ+E85sT+GTLWGFh3q8UW/D5g0aCVKpZzAWr7UrF9V0pQmIY04c/ocPbr1AwQmTR3Hvj0HUKnUdOzUnlat36dPj4EoFAp8fCvSuo35Gvfajaty6dw1JvYNRxCg//iORB24SKZaS/P2tfms7/tMHbwOpb2cgJoVqV4/HwE3CKQev0bRjkFgZ4fq8kMM6VrsHBV4vF+F579flv67PGga0oQzp87ydbdeCILA5GkT2btnP2qVio6dPqL1By3p9XU/FArxhKcP2rQy42gWEsLp06f5sns3BAGmT53K7r17UKtU+Pn5s/OXX6hRvQa9+vQG4IsuX9AsxHx9euOQBpw9HUPvbsMAGD91OPv3HEGtyqRDpw9o2TqE/j1GZse3Aq3amHPUbRJI3NmrjO61EEEQGDrxC47vP49apSlw30xuNK/fhOiYc3we2htBEJg1YgK7ju5HpVbT+YMOb8zTJOQ9zp6+QK9ugxAQmDh1DPv3HEKlUvNRp3a0bN2cfj2GIlco8PX1plUb81N8zt08SGCZ+kz7UDwNbeWxb2hQsS2OSmcOX/2BQ1e+Z9qHW9AbdPzx8i7Hks0PQsgPbet8hLODMz9EbmHOD1NZG7oVmZ2MHVHbefzC/McPAAwCT3+/RMk+DbGzsyPt7C2yXmYic1JSvHNN/th4mqLtA7FTyCj+mag1usemy+CUcgXDO/Vl4OLxGAQD7eu3pEThYqRmvGRaxCIW9J9ErzZdmLR+Hjuj9uLh6s6snt+YmRJQvyzJsY9YOvwgCAKfDq9LzNFbaNV66n7gQ+dhddgyJxpBgPJ+xfCrY35ARkhICKdOn6Jbt24ICEybOo09e/agUqnw9/dn5y87qVGjBr17i/23yxddaBZivk8jpEYDTideoPvMoQgITO0xkr2nj6DKVPNxkzai5i38BkEQaN+wZb6a1yikLudPX6R/9zEIAnwzdTAH9x5Hrcrkw49bSv6NFBRyBYMafcbInxdiEAQ+8G9IcdfCvMxMZ87BDcxsN6hAjuYNmxB94QxdBvVEQGDm6EnsOrxPzIO2H72xLc3qNiL64jm+GCNq5/TB49h9/ACqTDWftJQ+aTAvGjatzYXT8Qz6ahIIMHpKXw7vPYlalVngvhlTnlrEnLnMkK+nIggCoyb34fDeaNTqzNfumzHxp2m25n2VrXlT8tG8vtma97m05tVrEkTcmSuM6jkPQYChk77k2L5zZKo1tPro9ftmcqNWoyrEn7/BlP7rEASBvt+05+TBeDRqLSEf1qRz7xBmDo1AoZTjX7MCwfV8zTispePNmoRw6sxpuvbojoDA9ElT2b1vr5hPfn78/Nsv1AiuTs/+4uqPrp91oVlTcx6FXMHQNl8xbN00DIJAu1rNKFGoKKmqNGb9vII5XceY/Y2ZLe824tSl83Qd11/0aeBYdkceRKVW80mLD984vs3rNSY69ixdRvRGAGYOG8+uY9njQesOb8bx3qtc6oEgwMwxk9h1aB8qtYrO7ToWTJANUTv7MGjpOAwGgfb1W1DCoxipGWlM3xzG/L6T6Nn6cyZvnM8vUfvwcHVnZo+xZjwhtd7jVPwFuk0ehCAITOs7hj0nD6HKVNOpWTtGdB1A/9mjMRgMdGjSmneKmB8SYy0dr/JuCW5cesr6cWcQBPhwYADxkQ/RqbOo0aIsbQf4s3PRJQQBPCt74FsznwNrbPjHYScIeV4h/IegOvX6E2beBM71PEnotNYiDv+fxI3PCc92WcZTpC0v1Zbddg3g7lScuCc/WsQRXOwTHiw8arEtpYc3JT3zhUUcro4egHVumH6mvmURB0ARp/IkvThQcMXXoLKH+ABquPn6fUcFQVahMC/Ult3GDODhVJpPV1cpuOJr8H2fq1TpXbrgigXg6poH3Bi5wyIO7/nixl1r3DD9+40pFnEAtPOeQqbastNyHJ0cUZ18/WljbwLnBl48Vl0puGIBKOFclT9WnbSI451+Dci6//Zve/NCXqYQuiuWaaeyqjhxuZ9hfuz326CMSw3upp+ziAPA07U2mgwLNc/FieTU/A+feVNUKtSM84+3WMRRq8QXgHV0XPtSVXDFAmDv7szznxMKrvgaFO7oD4D28h8F1CzAloB3yLqWz+mrbwG5TxGyHrwsuOLrOEq7k37kZsEVC4BrSAUyL1g2NjnWFMcTa+j45st//UfzV+gasLTgSv8CWDoXfRv4F5E+5OXvwP/Esc022GCDDTbYYIMNNthgw38T/xMXa9pggw022GCDDTbYYMP/Ov6rF2v+p5ec2WCDDTbYYIMNNthggw0irjzfW3AlK6Fq4dYFV7ISbG9obLDBBhtssMEGG2yw4X8A/9U3NP/pBxprbZB9qbZsQ5+7k3gcsj7ZsguYFJWKor1kmS0A9oHvkKa2zBY3p6Jknr9vsS2OtcpYfHiDcz3xqFNrbHbUPUm3iANAWcyVB4uPWcRRemgTAP7cYNnm4eJf1bZaHtyebNlGwnJT21q8mR/EDf2WHi5wdY24GVWX8LiAmq+H0r8EM469+Wlf+WFCk/3cmbbHIg6vSR+QfvhGwRULgGszb+6kn7aYx8u1LhHxAy3i6FZtOaf/2GCxLXXf+coqG7MB1l/sZxHP10Gr0D6Xvsj0rewp7GKVgw50z6ygeUVcraK/AFk3LNv8LvcugjbVCocCFHK2ij4AFuelazNvNLEPLeIAcKheyirzEPXpexbb4lS3rNUOBUg7eN0iHrf3K1rt8Bwb/v/hP/1AY4MNNthggw022GCDDTaIsLO9ofm/C4PBwKzNS0i+ewN7hZJJXw3H6x3jHRDH406x+rfNyOVyOjRsRcfGH+TLM2fWQlKSr6NUKpkweTSeXsaLL48cOsaGdVuxs4OPPv6QDh3Nj6szGAxMXzmfpJsp2CvtmTr4G8qVNr08U52ZSa9JQ5k++Bu8Pcvna8uMtQtJunUde6WSqf1G41UqD48mkz7ThzO1/xi8y5ST5Jg9az4pySkolfZMnPyNiT+HDx1l47pNYGdHx4/b06Gj9Fn5BoOBmesXk3xHtGVyr5F4lTTG91hMNKt3bkIuk9OhcSs+DpE+xs9gMDArYgnJd6+L7dRjhGk7xZ5i9W/ZPO+1omOTNpIc0xbNIel6CvZKJdNGTaBcGU+TOurMTHqNHMj00RPx9iqfry3T588m+VoySnt7po2diFdZI8+eg/vY9MNWZDI5lSr6MnHkWMnLSwEcKhTF7d1yYBBQJTxClSD9S5tLcFlkLvaknTT/NS8qJYYNUTuRy+S0CWrMh8FNJTl+OLuPpxkv6N/0M0mfrJEHAE6VSlCoSSUwCKTH3iX9gulbIHkhR4q2DxIvHLWDp79dMuNw9iuFx/tVIEsg7dwt0s7cMuXwcKJ451rYycULPp/8FIPuT/NfkwMrVGfkx+PpNr+TyedNA99nQLtQsrL07Di5nR8jt0r6YjAYmL56Icm3rqFUKpk2YIxkLvWeEsq0gWPxLmueSyDeKH1m21Oe39UhV0LdL4vhXkIp/n2qnsi1xl/Tn93VUuOjwlRqLH1psFOlEri/5wOCQHrsPTJiTd9iyt0dKfphIMjswA6e7TK/6+nEpdOs2bMVuVzOh/Va0LGh6Vrm5+mpjF83B41OS/FCRZncLRQne0ez2CyZHcGN5Dso7ZUMn9iDMp7vkBdhM9bh5u5KryGdJeOyd81VHt9OR66wo01/P4qUcs4pf3AtlUMbUhAQcPVwoP0QfxT25gOuwSAQsXA/d67/gVKpoMfo1rxTtkhO+b7vz3J890XcPUTur0a2opSX+Q3eBoOBGWtyaWf/fLRz6nCmDhgj2d6CQWD/2mTRJ6WMD/pVpnBJo08Pr73kcMQ1EMDFw552g6vm45OBGfO+JSklWRwPxk3Ey9Mrp3zPgX1s3r4VmVxGJR9fJoz6xkxnDAYD08MXiP1XoWTaoLHS/XdyKNMG5d9/DQYD0+dla57SnmnfTMTLM5fmHdjHpu+zNc/Hl4mjpDXPGhpsMBiYtnweSTeuiRzDvqFcaQmO8UOYPmzc68fJObPE+NrbM3X8JNP47t8rxleWHd8x4/L1yRoaYa2cnLkujKTb4jg5pe8ovEoabTl2IZrwHRtFHW/yAZ2a/b3zkFkR4tivVNoz2WzMjib8180oZDLaN2rNxxJjdo5P6xeRfDt7DtF7lOkc4kI0q3dGiGN/k9b5ziFOxJ9h7d6tyGVifD9qYHpX3Yv0VMZvmJsd3yJM7hqKo0R8585aREqyaMu4yaPw9DLacuTQcSLWifewdfi4Le07Svtkwz+P/4ljm4/GnkSr0xIxfglDOvVk4ffhOWU6vZ4F21excsRsvhuzgB3Hd/MkVfqV97GjkWg0WtZFrGTQ0L4sWrg8pywrK4tli8NZEb6QdREr2bRxGy+evzDjOHz6BBqtlq3z1xDavT/z1i0xKb+ccoXu3wzg7sPXL+c6ci4SjVbLllkrGfZFX+ZFLDcpT7h+la8mDebuo/xfox47egKtRsv6iDUMHtqfsIVGW0R/VrIifAnrI1YTsXGrpD8ARy5EodVp2TR1GUM/7c2CLStzynR6PfM3r2DV2LmsmxjGjqO7efJCOr5HY7LbaeJShnzSi4XbV5nwLNi2kpUj5/DdNwvFdpLgORx1DK1Ww7bl6xjeZxBzVywyKb+clEi3oX248+D1r8wPnxB5tqzeQGi/wcxbGpZTlqnJZMnqFaxbGs6W8PWkZ6Rz/GSkNJHMjkKNfHi68xJPforDuVopZM72pnXkMjxaVsUlSPp1tT5Lz9JDm1n42ViWdZ3Ab7FHeJr+wqSORqdl2m8r+DnmYL4+WSsPkNlRuJU/jyPO8Gh9NK41vZC5OphU8QipTNrZW/yx4RSpJ65RuHkVM46iHwbyaHUUD1Yex61uBeRuphxFWvnz8uR1Hq48wYvDSRT5wPxW554tBzCj23zslaZ/q5ArGPvpFHqGfc6X8z6mc6OuFHOXvgDt8NlItDoNW2avIrRrP+ZtMM2ly9eu0n3CIO7+8folCXfjVGTpBFqPLUX1jwpz4Sdj/JwKKWgxohQtRpSieofCFPFywOc9N2kimR0eLaryeMtZ/thwGtcanshcTPtMoaaVSDt3m8cRZ3gZdR2PENNLb3VZehbsWM3yITNZEzqXnVF7zdpzzZ6ttKrdlO9GzKeyZ0V+jjTfKHryWAxajY4lGybRc/AnhIdtM6uza8dRbl7LP5+Szv5Jls7AV7NqE9LVl0Mbk3PKBEFg96ortB3oR/cZtfEOLkrqn9L38cREJqPT6pm0sjuf9G3CtuVHTMpvJT+iz/i2fLPkC75Z8oXkwwzAkbPZ2vntSoZ17cu8jXm089pVvpo4+LXtnXzuCXqdgW4za9KkizeHI4xLXgRBYG94Em0GVKHr9Bp4Bxch9YlG2pbjR9FotGxZu5FhAwczb0kuncnMZGn4Cr5bEc7mNRtIT0/neJS5zhw+E4lWq2XLnHBCu/Vj3vplJuWXr12l+7iB3H30+jElR/PWbCB0QB7Ny8zWvOXhbFnzes2zhgYfPnUCrVbLtrA1DP96AHPXmN7vcTn5Ct1G9+dOQePk8aNiW6+LYNjAIcxbvNDEp6WrVvDdytVs/m6j6FPUCWl7rKAR1srJI+ej0Gi1bJ6+gqFd+jB/k+l4Oy9iGeHj5rN+8mJ2HP6dJy/Ml5hZax5yNOYkGp2WiEnLGPpJLxZuMx2z529dyapRc/huXBg7juU/9h85nz2HmLacoZ/1YcGWFaY8m5ezauw81k1axI4juyR59Fl6Fu5YzbJBM1g9bA47T+7lycs88d27jVa1mrA2dB6Vy1ZkR5R5fI8fjUKr0fJdxHIGDO3D4oVGW7Kysli+eA3LwuezNmIZmzd+z4vnlt+T9U9Dhvwf+/fP+vU/gNiUBOoH1AYgsKIfibeMA+rNh3fwLFEadxc3lAol1X0DiE2Ol+S5GBtP/QbvAlAt0J8rCUk5ZXK5nB92bsLVzZXU1JcgCDg5O5lxxCRepGFNkSOoSgAJKVdNyrU6HYvHfZvvLzw5PFfiaVg9m6eSP4nXk0zKtTodi0fNoEIZL6k/ByAu9iL1cvwJ4EqC0Ra5XM6PO7dm+5Oarz8AsUmXqR+UHV9fPxJuGm25+eA2nu+UMca3UgAxSea/1gPEplymfrVsHh8/Em++fTvFxF+kYZ36Ylz8qpGQbHpBoFarY8n0ufm+mcmx5VIcDepm8wRUI+FqYk6ZvdKezeHrcXIU45GVpcfe3l6SR1HEGf0LNYJGDwYB7YNU7EsXMqljp5ChvvKItLPSe11uPX1AmcLv4O7kglKuINCzMhfvmra3Rq+jVcB7dKuf/03n1soDZXFX9M8yMGTqIEtAc+cZjl5FTOo835+IOllcf24ns0PQG0zK7d9xQ/ckHYM6m+PmUxwrmN5W//S3S6iuZL/Nktsh6LLMbLn75y0Gr+xl9rl3SV/uPL7FS1UquiwdF1LOUtP3Xem4XLlEg1e5VNmfhOt5c1LL4jEzX5tLAI+vaSjtL/aJ4t6OPL2tNasjCAJntz/j3S5FkcnsJHmUxVzRP1MhZIp9RnP3OQ554vviwBXUKdnr+yXie+vhXTyLl8bdWWzPYB9/Yq+bXhIYdz2B+n41AWjgX4szV2PNbEmIS6Z2/WoA+FXzITnR9EK9xEvXuBJ/jTYdpd8YAty9+gLvYPHhokylQjy8kZZT9uyBCmdXJWd332HTpPNkpusoWsZFkic5/i7V3vUGwMe/DDeTTN903kp6xK7Np5gxcBO/b47O154CtVOvY/Ho12vnvasv8A4ukuPTo+vG/SPPHqpxclNwbvc9tkyOQZ2uo2hpZ0memItxNKz3SmcCScytM/b2bFpt1Bl9VhYODuY6E3vlEg1qvOq/ASRck+i/Y2cV2H9jL+bRvCumtmzOZUuWPn/Ns4YGxyRcpGHNuiJH1QASUvJw6LQsmTi74HEyLtYY32qBJObxadPaDcb46rNwsHeQ5LGGRlgrJ2OvxtMguI5oi68/iTdyjbf3b+NZsgzurtk6XrkaMVclxkkrzUNik+NpkGvMfu3Y7xtATD5jSmxSPPUDRZ8Cff1IuJFszmPik/kc4uYj0/gGVfQn7pp5fOtlx7e+Xy3OJsWZ8VyMjaduA9GWaoF+XE0w2iKXy/l+58aceZ7wmnmRDf88/tYlZ9u2bSM1NRVXV1e6du1qUrZ06VLKlClDSkoKbm5u1KpVi3v37tGxY0cAwsLCcHBwwNnZmapVq/Lrr79StmxZQkJCqFLl7W4sz1Bn4OpkHCTlMhn6rCwUcjkZapVJmbOjE2lq6Q2bGRkZuLga68rkMvR6PQqFGEaFQsGRw8eZ+20YDd+rl/O5CYdKhZuzq5FDJkefpUchF+vW8At8c5+cc9kik5nwVK9SrWCODBWurrlskcsl/DnGnG8X0PC9+pL+iLaocDOJrzwnvul54+vkTLoqn/iqVSY+mbaTqb/Ojs6S7ZSuysDVJf+41KgW9NqY5PBkpOPmkjs2xraWyWQUKyJO0Lb8uB2VWk39OnUleWT2CgStPue/BW0WMgfTOAoaPZo7z3GqWlKSI0OjxtXROCFytnckQ2O66dXdyYU63tXYc0n6F0awXh7IHBQYNEafDBo9MkdTnwwqHQCKoi4UblmVx9vO4xJofG1v56AUH4hMOJR5OMQHAmVxV4q2rcYfG06Z2XIgZg9lipY1+9zVyY00tXHinJGZgZuT9PKudFVGnpzM02eqvllO6jIN2DsZfyOyswNDloBMbnxwuXdJjUdpJYVKKqUoxO93UGDQGGMjaCXiq84V3+ZV+fOHC7hUM77hS8/MwNUxV3s6OJGepz0zMo1t7uzoRHqmeXtnpKtxcTUO2DKZjCx9FnKFnKd/viAifCdT5g/h+MGz+fqjUetxcFbk4gBDlgGZXIYqTce95FRa9KxMkVLO/PBtHCW93akQWMSMR52hxcnFIRePjCy9AblCjPm7zarS/KOaOLk4sGT8DuKiUwiu72vukxW0U6POyuOTXY5P6pda7ie95P0elShc0omf5lyipLcb5auZ+5SRkYGrS57xILfOFM3WmR+2o1KpqCehM2L/fY3mvWH/Tc9Ix83Vcs2zhgaLHK8ZJ/3fTMczMjJMx7j84vv9NlRqFfXezd8nSzXCWjmZrs7A1UnalnR1Bm65ylycnElTmS/Ttd48RJVnTDGO/bl9EW1xIl3Cllc8bvmM/ekqVZ6x3zxu8Cp2xnHSxcE8fhmZqpw2yJcnQ4Wr2TwvC4VCfNugUMg5evgE875dTIP36uZ8/n8JMrv/5ruMv/WBplmzZri7u7No0SJ+/PFHUlNTKVGiBC9evODevXuUKVMGmUyGg4MDpUuX5t69ewwZMoTOnTuTlpZGQEAAPj4+PH78GLlcjkKhwMvr9b8yScHFyQVVpjrnvw2CgEIuzy5zJiPTODlUZapNEt2Ex8UFVYaxrmAQzCb5Ic0a06Tpe0yd9C27f9/Phx1M9yG4ODuToc7FIRhyRORtfcrNI/r0djwuLs55/DFI+NOEJk0bMWXSDHb/vpcPO5ivXRVjmCu+BkNOfF2dnFHljq9alX9889Q1bScXk+9QZUrzuDq7kKHK00Z/Ib6uLq5k5HrwytvWBoOBBSsWc/vOHcJmzsXOzvTXdrd6FbAvXQhlMRe0j4y/3trZy00eBl6HsLAwTu85xvXHd/ErXTHnc5U202RgfFNYmgceIZVx8CqC8h03tPdf5Hwuc1CgyzT3yaF8UYq2DeDJz3Hon4qxLNzKD8cKxbAvVQjNnWcmHLkfcF7BsWJxinUM5vG2c5L7Z/JDujoNl1wxcnF0IU0lvTTA1dk0l/5qn1E6ytBl5rrWS8DkYQbg5pl0qoRIP1gValoJB8/CZvG1s1dgkIxvEYq0DuDpLxdz4rvit43EXU8g5f5NAsobf/hRadQmPzoAuDg6o9KocbR3ENvbyTyfXFydUGcYl4AJgoA8ewA/cegsL1+kMX7oQp4/SSUzU4Nn+VK0/PA9UzudFGgzjW/XBIM4SQBwclNSuKQTxT3F7/YOLsqjGy8lH2icXOzJVBnfeom2yHL+f8tPauPsKq6HD6pXkdspf0g+0Jhp519obwcnOVp1Lp8Ec5+KlRXjXSGoKI9upEk+0Li4uJjojCGPBhsMBhYuW8ztO7cJmz3PTGdAov/+hbEAsjUvowDNW7aY23fvEPatueaZ2GOhBos+5bblL46TLi5kZOQeUyTiu3SRGN8581/v01/UiLCwMM4dPmm1nHR1cskzThpj4+rkYqLjGfmMt9abh+QZ+wXj2O/i6JzHFrXJj4TmPHl9yp5DODujUuce+03HprCwMM4eOsm1BzcJKG9cepuhUZs8+L2yyTS+5uNo3nmRmJOmDy1NmzWicdOGTJs0mz2/H6Bdh3/urhUb8sff+pjm7OzM0qVL0el0fPLJJ6jVau7fv0+3bt0oV058lfn555/Ts2fPnL+pWLEitWvXpnv37nh6erJ+/XoA2rZtS58+fXB2ln51/zoE+/gTFX8GgEvXE/EpUyGnrEIpL+78cZ/U9Jfo9DpikuMJqugnyRMUHMDJKPE40/hLCVT09c4pS0/PoE/PwWi1WmQyGU5OjpJLSqpXDeTEefGX5otXL+NbrqJZnTdB9SoBRMaItlxMTsDXy7uAvzBHUHAgJ6NEW+IvXcbH12iL6M+AXP445bvpvXqlAKLisuObkoivp9GWCqXLceeRMb4Xrl4i0Fc6vsE+/kRdFH/pvXQtEZ+yr2mnpHiCfMx5qgcEEXnmJAAXE+Px9f6L8a0WROSpbJ7L8fhW9DEpnzp3JlqNliWzF+QsWciNtFM3ebojjkdrolF4OGHnoACZHfalPdA+fLM1t6GhoSz7YgK/D1nO/ed/8FKdji5LT9zdqwSU8SmYIA8szYMXR5L4Y8Mp7s07iKKICzInJcjtcChXBM3d5yZ1HcoXpUhrf/7YdBbtA6O/z/cl8nDlCW5P2YWyqGsOh6N3MTJvma71dqxYnKLtg3i09iTaey/eytcbj1IoV6IChZw9UMqV1K5Ul9gbFyTrVq9SjciY7JxMSsC33NvnEkBxHwfuXxYHwj9vZOJRxnxJztPbWopXlF7Wkno0mccRZ7i/4DCKwi7iGyuZHY5eRdDeyxvfIhRu6cfjrWdN+tOAD7uzOnQuB+Zs4+6fD0jNSBPbM+Uygd5VTTiCvf2IuiweC34y4TzVffzNbPIP8uXMSXF5R2L8NSr4GN+GffR5C1ZsmcaC1d/w6VdtCGlVz+xhBsCzSiGuxzwB4H5yKsW9jJOMwiWc0GZm8eyhGLe7V15QzFN60uMbUJZLp8W9KtcS7lPW27gnSp2hYXz3tWSqtAiCQGLMbcpXkn7jaaadf6G9y1QuxPXYp7l8Mk6MPN4RfXr+SPTp3tUXFPOU/gGiemAwkdGvdOaSmc5Mmz0TjVbD4rkLJXVG9KcakRey/Um6/Jf7b/XAAjRvzky0Wi1L5khrXg6PFTS4ul8gkeeyc/LKZXwr/EUdDwomMjpK5ImXiO+3M9BotSyeF/Z6nyzQiNDQUKvmZHDlACJjs9s7JcF0vC1TjjuP7pmMt0GVzDmsNQ8J9g0g6lL2mHItEd/cY3bpcnnG7EsE5jO3ql65oDlELp+uXDSZQ4SGhrJ62BwOfLuVu38+zIlv7LXLBFYwXc0T5O3HyQQxvtGJ5wn2Md+XGRgcQHSUaEv8pUR88szz+vUcmmdeJP0Q/G+GzE7+j/37J/G3vqGZPHkypUuX5vjx40ycOBGAcuXKsXHjRu7fv0/JkuYDjkwmw97enu3bt1O4cGFKlChhsR0hNRpwOvEC3WcORUBgao+R7D19BFWmmo+btGHEZ/0YsPAbBEGgfcOWlChcTJKnSUgjzpw+T49u/QGYNHUs+/YcRKVS07HTh7Rq/T59egxGoVDg41uR1m1amHE0r9eYU3Hn+GJUHwRBYMbQ8ew6dgBVporOrTq8sU/N6jTi1KXzdB3fH0GA6QPHsjvyIKpMNZ+8L30aWV40DWnMmdPn6NGtDwICk6eOZ9+eA6hUKjp26kCr1i3o3WMACoUCX9+KtG4jfd9GSK2GnIq/QLcpgxAEmNZ3NHtOHkalUdMppC0juvan/5wxGAwGOjRuzTtFpDdnh9RsyOmEGLrPGIIgCEztOYq9p0Sej5u0FdtpwVgEg0D791pJtlPz95oQfeEMXQb1QBBg5phJ7Dq0D5VaRed2Hd88vo2bEn3uDF/0/RoEgenjJ7P7wF5UajX+Vary865fqRlUnR5DxDspun7yGc0bh5gTGQRST1yn6EeBgB2qxIcYMrTYOSjwaF6Z57sTzP8mDxRyBYOafcHw7XMwINAmsDHF3YrwUp3O7D1rmfXxsDfyyVp5gEHg+b4ESnz5LthBeuxdstIykTkpKfphIH9+f4Eirf2xk8so9lEwALqn6WYcT3+/RMk+DbGzsyPt7C2yXoocxTvX5I+NpynaPhA7hYzin9USOR6n8WSH+Zry3Ghb5yOcHZz5IXILc36YytrQrcjsZOyI2s7jF48k/6bZu42IvnieL77pL7b1oG/YfSI7l1q8WS4BeAU78/CKmn1zHiIIUP+rotw8m44uU6BSIzcy07JQOtrl+ytw7ti8OHiF4l/Uxs7OjvS4e2SlaZA5KinSrhpPfoyhcAs/7OQyirYXl97onpounVDKFQz/uDeDlo7HIAi0r9+CEh7FSM1IY/rmRczvO5GerT9ncsQCfjm5Dw9Xd2Z+PcbMlAZNa3LhTAJDv56OIAiMnNyLI3tPoVZnvnbfTG5UrlOCGxefsWGcOJFoO9CPy5GP0GbqqfF+Wdr29+OXxZdBgLKVC+FbU7rf1WxUmYTzt5jePwIBgV5j23LqYAKZai1NP6xOpz6NmT1sCwqlAr+a5QiqJ/3Q3+zdbO0cl0c71W/e3pXrFOfWpedsmnABQYA2A6qQEPUHuswsgpuXpnX/Kvy2OBEBcY+NTw1pn5o1acqpc6fp2vsrBEFg+oQp7N6/F5VahX8VP37+/RdqBFen58C+AHT99HOaNTHVmWZ1GxF98RxfjOkHCEwfPI7dxw+I/bdl/nvqzGxp3JTos2f4ovfXIs/4ydm2qPGvWpWff8/WvEHZmtf5M5o3Mdc8a2hw8/qNiY49S5fhvUWO4ePZdXQ/KrWazh90eHOfmoRw6sxpuvbsLsZ30lR278uOb1U/fv4tO74D+og+fdqFZk3NfbKGRlgrJ5vVfo/T8ef5cuJABASm9xvD7qhDqDPVdGrejpFfDqTfrFEYBIGPmkiPt9aah4hj9gW6TR8MgsDUXqPZc+owqkw1nZq2ZeTn/eg/fyyCwUD7Rq3yH/trvSfOISYPQhAEpvUdw56Th0SeZu0Y0XUA/WePFucQ+fikkCsI7dibwcsnYBAEPqz7fk58Z2xdzLzeE+jZ6jOmbFrIzuh9eLgUYuZXo814moS8x9nTF+jVbRACAhOnjmH/nkOoVGo+6tSOlq2b06/HUOQKBb6+3rRq8/4bx8uGvxd2giAIBVf7vwnbxZrSsF2sKQ3bxZr5w3axpjRsF2u+xh7bxZqSsF2sKQ3bxZr5w3axpjRsF2v+NVhD398UXq7S+9L+Dvw3dwbZYIMNNthggw022GCDDf8TsD3Q2GCDDTbYYIMNNthggw3/Z/G37qGxwQYbbLDBBhtssMEGG/4dsPuHL7z8p/Cf3kNjgw022GCDDTbYYIMNNoi4m27Z3ty3gadr7X/su/7Tb2he7kuxmMO9lS+ai9KnI70pHILE09ws3dTnUL2U1TZ4W2MTnbUOBbg18TeLOMpPF0+ZefHrlQJqvh4e7avy/Cfpm4zfBoU7VeP5zwWfXvZajo7iUZuWbr50qlvWau1kjT6TceyWxba4NClvtc261jhcwNLN0CBuiH65J7ngiq+B+weVyDhxy2JbXBqVRxV522Ie5/fKWWUztOH2C4ttkZXz+FcdPpJ+5KZFHACuIRVI23/NIg63lj48iThvsS3FutWymuZZo89Ya9O6tXTG0nxyfq+c1XTcGj79m/QBrHMogLUOVPm/gH/6OOV/CrY9NDbYYIMNNthggw022GDD/xccOnSIiIgIfvrpJwDu37/PqFGj3orjP/2GJjdOXD7D2n3bUchltHv3fT6q38qk/EV6KhMi5qPRaShWqCiTuwzF0d7RpI7BYGDm2jCSbl/DXmnPlH6j8CppvGju2PmThO/YiFwmp0PTD+jUvJ2ZHQaDgZnrwki6fR17hZIpffNwXIgWOeRyOjT5gE7N2kr6YzAYmLV5Ccl3b2CvUDLpq+F4vVMmp/x43ClW/7ZZ5GnYio6NP8g/NvFnWLt3K3KZnA/rteCjBuaxGb9hLhqdluKFijC5ayhueX1av5jkO9exVyqZ3GskXiWNthyLiWb1zk1iXBq34uMQaZ8AnCq/g0eTSggGgfSYO6RfMH0jJS/kRLGPgrHLvszqyW8XzTgiE8/y3aEfkMvktKvdjA7vmt8HBLAt8jeepb1g4AfdJMsjr5xn3dEfkcvktK3ZlA61pc+b335yF0/TXzCwZdd8eM6x7rBoT9tazehQJx+eqN9FnlZfmnxuMBiYFSHGV6m0Z3KPEaZtHRtN+K+bUchktG/Umo+btJHkt2Y7WdpnAI5fPM2a3VuQy+S0b9CCju+Z9tHn6amMXzubTJ2G4oWKMuWrEThJ5OT01QtJvnUNpVLJtAFj8CpV1qSOWpNJ7ymhTBs4Fu+y5fL1KbBCdUZ+PJ5u8zuZfN408H0GtAslK0vPjpPb+TFyq+TfGwwGpi2aQ9L1FOyVSqaNmkC5Mp6mtmRm0mvkQKaPnoi3V/l8bTlx+SxrD2xDIZOLelXP9GjoF+mpTNg0H41OS7FCRZj8+VDc83Acv3iaNb9vQS7Pjm+jPPFNy46vVkNxj+z4OjiSF8fjTrF6l9hOHRq2lOQZt+bb7LYuypSvpXlOXDrNmj1bkcvFPtOxoent2s/TUxm/bk4Oz+RuoeS+YtNgMDBt6Vyu3kjBXmnP9NBxkvHtOXYwM4aPzze+Yj4tIfmuqMGTzPLpFKt/y86D91rRUSKfrNrWl06zZo8Y3w/rt8w/LtntNLnbcLM8gOyc3L9N5KkrPcaN3zjPmJNfDDPLyajkGNZH7UQuk9E2qDEfVpe4Wwv4/uxenqWn0j/kM8lySzXPNDaW9Rlraac1dMYauWQNHbembv5b9AH+2riUd573V22Rysl/K/7JNzQvX77k5Uvzt9ru7u64uxtHrcTERIYMGcLy5cvRarUcPXoULy+vt/qu/4k3NPosPWE717JswHTCB89mZ/R+nrw0vXl77f7ttKzZmDVD51K5jDc/n9xnxnPkXBQanZbNM1cytEsf5kesyCnT6fXM27ic8PELWD91CTsO/86TF+bnvR85H4VGq2Xz9BUix6aVphwRywgfN5/1kxfnywFwNPYkWp2WiPFLGNKpJwu/DzfhWbB9FStHzOa7MQvYcXw3T1Klz/bXZ+lZuGM1ywbNYPWwOew8uZcnL03rrtm7jVa1mrA2dB6Vy1ZkR9ReU58uRKHVadk0dRlDP+3Ngi2mPs3fvIJVY+eybmIYO47u5smLfO4ZkNlRpHUAf2w8zaN1J3GrVQ65q+mt6oWbVSHtzE0erYvmxYkUCr9vevOwPkvPot/XsaTXFFb1m8EvZw7wNM20rTN1GiZvC+OnaFM/8vIs3rOBxV9PZGWvqfx67pA0zw+L+emMeV8x4dm1nsU9J7Oyz3R+PZuPPd8v4qfT0jxHY06i0WmJmLSMoZ/0YuG2VTllOr2e+VtXsmrUHL4bF8aOY/nH11rtZI0+o8vSs+DHVawYOou1I+fxc+Resz66ZtcWWtVpyrpRC6ni5cOOE+b3tBw+G4lWp2HL7FWEdu3HvA3LTcovX7tK9wmDuPvH6+8Y6NlyADO6zcdeadrfFHIFYz+dQs+wz/ly3sd0btSVYu7Sl8MdjjqGVqth2/J1DO8ziLkrFpnakpRIt6F9uPPg9cth9Fl6wn5dy7J+0wkf9C07T+0z16sD2Xo1ZI6oV9GmfUen17Pg+1WsCJ3F2lHz+PnEa+I7Jv/4ijzhrAz9lu9Gz2fHiT1mPKt/30zrd0NYN2Yhlb0qsuP4bnOeLD0Ldqxm+ZCZrAmdy84oCXv2bKVV7aZ8N2I+lT0r8nOkaZ85FH0cjVbL9sXfMbznAOauXmxSfjn5Cl+O6Mvdh6+P79GYbO2cuJQhn/Ri4XbTfFqwbSUrR87hu28WitopkQfWamtdlp4FP4WzfPAs1gyfx84o8/iu2b2FVrWb8N3IBdlxMW8nfZaehTvXsGzAdFYPmc3O6H3mOblvG61qNWbtsLlULuvNjpN7zTiWHNpM2OdjWf7lRH6NPcrT9BcmdTQ6LVN/XcHP5w/m65M1NC8nNhb2GWtppzV0xlq5ZA0dt5Zu/pv0wRrjkrVsscGIjRs30qxZM7N/GzduNKknl4sPWYIgcPr0aTIyMoiLi+P+/Tdfavk/8UBz89FdyhYrhbuzK0qFkmBvP+Kum673jbuRSL2qNQGo71eTs8lxZjyxVy/RILgOAEGV/Em8nmT8jvu38SxZBndXN5QKJdUrBxJz5ZIER7yRw9efxBuv46hGzFXpPR2xKQnUDxA3WwVW9CPxlnH9/c2Hd/AsURp3l2we3wBik6V5bj66i2fx0rg7i3WDKvoTdy1PbK4nUM/vVWxqcTbJNDaxSZepH5Rti68fCTdz+fTgNp7vlDHaUimAmCTzuAAoi7uhf5aBIVMHWQKZd57hUK6ISZ1n+xJQJYkX5NnJ7BD0Wab+PL5H2aLGtg4qX5W4m4kmdbQ6Ha1rNuHrZqa/xJvw/HmPskVL4u6UzVOuCnG3TPfoaPU6PqjemK+afJw/z+M8POWr5sPThK+aSvPEJsfToFp2fH0KiK9vADH5tLW12skafebmwzsiR/b3Bfv4E3vtsinHtQTq+9cCoIF/Lc5eiTX36colGlR/F4Cgyv4kXL9qUq7VaVk8ZiYVyrz+l567f95i8MpeZp97l/TlzuNbvFSlosvScSHlLDV935XkiIm/SMM69UVb/KqRkJynnbU6lkyf+9pf6wFu/pFHryr4EXdDQq+qZMe3ai3OJpu+qbz5yFQDgn39iU2RiG9AdnwDpONrpiU+BfBUq80ZCZ5bD037TLCPP7F5Nfh6AvWz+0wD/1qcuWrKE3P5Ig1riZe0BVetxuVk87ZeOnkuFTzLm31/bsSmXKZ+rnxKvPn22mmttr6VNw8qBpjnwfUE6vu9yoPaZnGB7JwsVsqYkwWOceY5eevJA8oWfgd3JxeUcgWBnpW4eDfJpI5Gr6NVtYZ0a9A+X5+soXlibCzvM1bTTivojLVyyRo6bi3d/DfpgzXGJWvZ8m+HHbJ/7F/37t05fPiw2b/u3bub2FSxYkU2btxI2bJlqVu3Ln379iU4OJgyZcrk44U53mjJ2dKlSxk8ePBr61y/fp0DBw6g1+upXLkyLVpIL/M5c+YMAJs2bcLPz4/SpUtTuHBhGjdunFPn+fPnLF++HDc3N4KCgoiPj895evvyyy9xc8v7ovz1yMhU4erkkvPfzo5OpGdmmNdxdBbLHZxJV5vfNJyuVuHqbOSRyWTos/Qo5ArS1Rm45SpzcXIiTWV+G3S6OgNXJ9f8OXKVuTg5k6aSvsU5Q51h4pNcJkOflYVCLidDbe5vmlr6ZmoxNs7G73TILzYuOVzpebgy1CrcTGyR59iSntcWJ2fSJeICIHNQiA8z2RA0emSOSpM6BpUWAEUxFwq38ufx1rO4BhpfleduRwBnByeztnR3dqVupersOn9Y0g6RR41LXp7MPDxOrrzrG8yumKP582ikeEz9d3dy5d1Kwey6cESaI08Mc8c3b992cXIiPd8+Y512skqfyWu3RJ30TGMfd3Z0NisHSFdl4OYsnU8ANaoGSvqQFwdi9lCmaFmzz12d3EhTp+WyOwM3p7yLu4y2uLpI6wNAjWpBb2SLWR+W0iuNOpdeSZSr3yC+6oLja66dzma6lvu7XPJrp8yMnP6QY/Nr+oSUz+mqDNxcjG0tzxtf/zeMbx4dN9XODJMyZ0dnSe20VlunS41Nr4uLRNzy1oHsnMyjeyY5KaFnGVo1Lg5ORlvspTTPhXe9A9l98Xi+PllD88A6fcZa2mkNnbFWLllDx62lm/8mfbDGuGQtW2wwIu/SsvzQqlUrs88Keu7Ii7faQ7Nlyxa0Wi3FihXj7t27lCxZEqVSyYMHDzAYDPTv3x8QH4DS09OpU6cOO3fu5IMPPmDfvn08evSItm3F9Zx2dnYoFArKly9PZGQkT58+5cmTJzx9+pQePXogCALvvvsu5cuXJz4+HoVCgYeHx1s9zKzcvYm4Gwlce3AL/3KVcz5XZapNBAHERFNp1DjaO6DSqMzKAVydnFHlGiQMgpAjAK5OLmTkEv8Mtdpk8DVyuKDKzM1heA2HykR0TOx1ckGVqc5jizy7zNmER5WpNuNZ8ftG4q4ncu3BTQLKG2OToVGbPHBBnthIxc7JmYzcthgMOba4Ojmb+KuS8MmjWRUcyxVB+Y47mnvGpQl2eR5wXsGxQlGKtAvkyU8x6J+IQhIWFsbZA5Fce3gbf69Kxu/TqE0EtyCsOriNi7evcP3RHfzK+pjwSPWJfHkObOXirStcf3QbP09fUx7HN+cBifgKxvi6ODq/Ub+T5HnLdrJGn1n+ywbirieQcu8GARWqGDky1SYP8wCujmIfFzlMJ6E5dZxdyMiVk4LBmJPWQLo6DZdc7eXi6EKaKlWyrquzCxmqv27Lyj2biLuRyLWHt0z7cKYaN8c88XVwyqVXueK7cwNx17Lj650nvnna09UpT3xz9e/lO9cTm5JAyr2bBHjn1k6VyQ83IPYrVaYKR3sHMjJN+82K3zaK7X3/JgHljfZI5ZN5n8ljb562zq2dbwOXPH3dVDtdTHJElSmtwZa29YpfN0jHRaKdXBydje2kMY3Lil0RYp95cJOAcnlz8nVjnDH+q4/9wKW7yVx7fAf/0hWNtmjVuOV6MCkI1tI8a/YZa2mnJToTFhbGuSPRFudSvj69pY5b6g/8u/QhLCyMs4dOWjyXsWa/+/fD7v+3AX8L3mrJ2fPnz/n666+5e/cujo6OqNVq7t+/j7OzM6+us9FqtRgMBuzsxIBlZWUhk8lwc3PjyZMnOVyVKlWiT58+BAcH53zWunVrXF1dycrKYuDAgQiCkHPiQZ8+fejcufNbOde/zZeED57N/hmbuffnA1Iz0tDpdcRev0y1XB0WIKhCVU4misdXRideILiivxlfcOVqRMaKb5guJifg61Uhp6xCmXLceXiP1PSX6PQ6Lly5SFAlKY4AImNPixwpCfh6eptyPMrFcfWSJAdAsI8/UfGiLZeuJ+JTJpctpby488f9HJ6Y5HiCKpruNRnQrjurh83hwLdbufvnQ2Nsrl0msEKe2Hj7cTLhXHZszhPsE2BSXr1SAFFx2bakJJr6VLocdx7dN/Ep0NfUlheHr/JoXTR35+xHWdQFmZMS5HY4liuK5o7p2mvHCkUp8kE1/th4Gu0D48QyNDSUlf1msnfSBu4+eUiqKtufmwlUyzXQF4R+73/Oyl7T2PPNWu49e2TkuXWFAM9KBRO84mnRhZV9prNn/DruPc3FczORAK83twcg2DeAqEvZ8b2WiG/ZXG1dupxpWyddIjBPW7+Cpe1kjT4zsMNXrBkxj4Pzv+funw9Izci2OyWeQO+qphwV/Yi6fBaAkwnnqZGn3wFUr1KNyJhTAFxMSsC3nHWPzbzxKIVyJSpQyNkDpVxJ7Up1ib1xQbJu9YAgIs+cFG1JjMfXu6JkvfzQ/4MvCR/0LfunbeLek1zxvZEgoVd+nLySrVdXzhPsLerEwI++Ys2oeRxc8D13H+eKb3I+8Y3Pju/l89TwNcZ34Edfs3b0fA4tzOZ5jZYE+fgTFS+29cn4c1TPxTPgw+6sDp3LgTnbsts7Lbu9L5vZE+ztR9TlbJ6E81T3MdW+Gv6BnDgbDUDclXgqlffhryDYx5+oi6Lfl64l4lP2NdqZFE+Qj3k+WdrWA9p/xerh8zgwd3ueuJi3U3BFf6ISXuXBOarnyoMBbbuxeshsDszcIurea3OyKicTc+Vkdp/p06Qzy76cwK5hK7j3/A9eqtPRZem5eOcqAWV8eVNYS/Os2Wespp0W6ExoaKhVcinHFgt13FJ/4N+lD6GhoVaZy1iz39nw/wdv9EielpbGihUrcHNzY/PmzZQvX54iRYoQFxfHkydPaNKkCQqFgpUrVxIfH0+JEiVo2rQp27dvJyUlheDgYHQ6HVlZWWRmZuLoKH0axKuHIJlMxsqVKylatChly5bl7l3L7g9QyBUM+6gXg1dOQhAMtKv7PiU8ipGakcaM7UuY13M8PVp8ypQtYfxyaj8eLu7M6GZ+XFyzOu9x+tJ5vpwwAEEQmD5gLLujDqLOVNOp+YeM7DaQfjNHYjAIfNT0A94pYr55uFnt9zgdf54vJw5EQGB6vzHsjjqUzdGOkV8OpN+sURgEgY+atJbkAAip0YDTiRfoPnMoAgJTe4xk7+kjqDLVfNykDSM+68eAhd8gCALtG7akROFi+cYmtGNvBi+fgEEQ+DB3bLYuZl7vCfRs9RlTNi1kZ/Q+PFwKMfOr0aa21GrIqfgLdJsyCEGAaX1Hs+fkYVQaNZ1C2jKia3/6zxmDwWCgQ+P8fcIg8GxvAu90qwt2dqTH3CErLROZk5KiHYL5c9s5inwQgJ3cjuIfVwdA98R0iYBCrmBYu68ZunYqBsFAu9rNKVGoKKmqNGb9tJw53cZKf7dEXIa2/ophG2ZgEATa1Wxq5Nm5kjlfjC6Y5BVPm68Ytm6ayFOrmZHn5xXM6TqmQI6Qmg05nXCBbtMHgyAwtddo9pw6jCpTTaembRn5eT/6zx+LYDDQvlGr/PuMldrJGn1GKVcwvFNfBi4ej0Ew0L6+2EdTM14yLWIRC/pPolebLkxaP4+dUXvxcHVnVs9vzGxp9m4joi+e54tv+oMgMH3QN+w+cRBVpppPWnz4Bi0kjbZ1PsLZwZkfIrcw54eprA3disxOxo6o7Tx+IX0vVfP3mhB94QxdBvVAEGDmmEnsOrQPlVpF53Yd3/i7FXIFw9r3YnD4JARBoN2771PCo6gY3++XMq/HOHq06MyUrYv45dQBPFzdmdF1pAmHUqFgeOe+DAzLjm/DXPHduIgFAybRq20XJq2bx87I7Pj2No+vUqFgROe+DFg0TuxfDVuJPOkvmbYxjAUDJ9O7jcjz84k9eLgV4tve5jmmlCsY/nFvBi0dj0EQaF+/RU6fmb55EfP7TqRn68+ZHLGAX07uw8PVnZlfm+ZG8wZNiI45y+fDeiEIArNGTGTXkf1ifNt89MbxFfMphu4zhiAIAlN7jmLvKTEPPm7SVtTOBWMRDALt32slqZ3WamsxD/owaOk4DIa8cQljft9JYlw2zueXqOy49DCPr0KuILRDLwavnIjBYODDukaeGdsWM6/XBHq2+IwpmxeyM1oc42Z2H23GMbh5V0K3zUEQDLQJakxx9yK8VKfz7e41fNsp9I18sobm5cTGwj5jLe20hs5YK5esoePW0s1/kz5YY1yyli3/dtj9R7fP2wmvXq1YES9fvnyjNXN/N2wXa0rDdrGmNGwXa+YP28Wa0rBdrJk/bBdrSsN2saY0bBdr5g/bxZrSsF2s+dfwhyqx4EpWwjvO0m89/w78LffQ/BseZmywwQYbbLDBBhtssMEGI+xse2hssMEGG2ywwQYbbLDBBhv+Xfhb3tDYYIMNNthggw022GCDDf82/DffZfwte2hssMEGG2ywwQYbbLDBhn8XHquSCq5kJZRwfrtTXS3Bf/oNjaWbQEHcCKpPelJwxddAUVk8Jeeh6mIBNV+PUs5BqPNcdPZX4OTozPYrIyzi+KzqAp59L32T/NugyKeBaJ9bdimVfWHxjPj0zBcW8bg6evBIdbngigWgpHMA2lTL2sm+kHj/g6WbvF0alUejUhdcsQA4ODtx5fleiziqFm7N7zemWGxLO+8pzDjW0iKOCU32A9bZ4G3pwQIgHi6QeeGBRRyONUtbbbP5mpgeFvP0rrGOu+nnLOLwdK3N8QfLLLalcelBGG4+L7jiayCrUBiAT8Lf/Ph2KfzYN5mEZ7ss4gDwL9IWTYZlue3g4kT8018ttqVa0fZcfPqzRRxBRcXT4TIzMy3icXR05Lna8rG/sJOn1Q6SUJ+18HCXOmWtdjiG7s+0giu+BsriblY7FEB76Q+LOOwD3wGwyuEYEw40LrhiAZjRIv8LZ234+/GffqCxwQYbbLDBBhtssMEGG0TYDgWwwQYbbLDBBhtssMEGG2z4l+F/4g2NwWBgVsQSku9ex16hZFKPEXi9Uyan/HjsKVb/tgm5TE6H91rRsUmbfHmmr5pP0s1r2CvtmTpoLOVKlzWpo9Zk0mviMKYP+QbvsuUkOcJmreV68m2U9kpGTepHWa+SZvXmTw/Hzd2VvkO/yN+nmbNITk5GaW/P5MmT8PLyyik/dOgQ69atxw47Pu7UkY4dzS97MxgEdofH8+jWSxQKGR8OCqJoKZec8vspL9i3LhEQcPVwoGNodZT2ckl7Iq+eZ/2xn5DLZLStEUL7Ws0l622P3s2z9OcMaNFV0qcZ874lKSVZjO+4iXh5Gn3ac2Afm7dvRSaXUcnHlwmjvkEmk5lxzJ45l+TkFOzt7Zk4eRyeXp455YcPHWHDugjssOOjTh34qGP7fOMbNmsN15JvYW+vZNSk/pT1KmVWb970lbi7u9J36JfS/syZJfpjb8/U8ZNM/dm/V/RHlu3PmHFm/rzC8YunWfP7FuRyOe0btKBjow9Myp+npTJ+7WwytRqKexRlylcjcHIwvcDWYDAwc9YskpKTsbdXMmXSZJM+s2fvXjZv3YJcJqOSbyXGjzO3x2AwED7vJ26l3EehVDBo3GeU8jRe3Pbr1qMc+v0M7h5iPxowtjNlyr0jERuBn5ef5+GN58iVcjoPq0Ox0m455XeSnvL7mlgEQcCtsBNdRteT7HuCQeDMtqc8v6tDroS6XxbDvYQSAHWqnsi1f+bUfXZXS42PClOpsemx8gaDgWmL5pB0PQV7pZJpoyZQroynSR11Zia9Rg5k+uiJeHuVN7MjNwIrVGfkx+PpNr+TyedNA99nQLtQsrL07Di5nR8jt0rExcDM9YtIvn0de6WSyb1H4VXSqFXHLkSzemeEqFVNWvNxSNt87Thx6TRr9mxBLpPzYf2WdGzY2qT8eXoq49fNQZPdZyZ3G46TvWmfEQwCh9Zd5/EdFXKFHS37+FC4pFNO+cPraRzbdAsQcC5kT5uBlVDYm/eZJbM3cD35Dkp7BSMm9qKMp7nmLZzxHW7uLvQe8pmkPwaDwNZFx7h3/QkKpZxuo0IoUcYjp/zgD7FE7UnEzUO0r+vwppT0KizBY2DasnlcvSG29/TQcZQrbd7ePccNZkboeLw9y5tx2GFHr/emUL5oFXRZWlYdH8+jl8Y7whr6tKNdYA8MgoGjST9xIHFbPj4ZWD3vZ25de4BSqWDAN50p5Wm8yPO3bcc5/PsZ3D1cAeg3phNlypUw45j5ba68npgnr/flyetvpHXGYDCwZv5Obqc8RGGvoP83nShV1mjL79tOcHjXuZzc7ju6o5ktr3jWzv+V2ykPUdor6PdNR0rm4tm1LZIju87n8PQZ/RGlyxU345g5cybJyaJ2Tp5s6tPevXvZvHkzcrkcX19fxo8fn69P82YtISX5OkqlknGTR+DpZcynI4dOsGndduzs7Gj/cRvad/zAjOMVj6VzCIPBwKyNi0m+cx2lwp7JvfJwxEQT/stmFHIZ7Ru15uOm+c9Dpi2dm91/7cX+K6FXPccOZsbw8ZJ6ZTAYmL5gNsnXUlAqlUwbOxGvskaOPQf3semHbcjkcipV9GHiiLH5j01xp1i9S9SZDg1bSo5N49Z8i0anpXihokz5WnpsmrF2IUm3RN2b2m80XqXM51Z9pg9nav8xeJcxn1sBnIg/w9r920TNq/s+H9VvZVL+Ij2V8RvnZdtShMlfDMMxj+bZYUe7qqGUdPMhy6BlZ8I8nqnFO4Bc7YvwaeCknLol3Xw4kLKac/csu0vvn4ad3X/zXcZ/06s8OBpzEq1OS8TEpQz5pBcLt6/KKdPp9SzYtpKVI+fw3TcL2XF8N09ePJPkOXz6BBqtlq3zVhParR/z1i01Kb+ccoXu3wzg7qP8L8CKOnoOrVbHioiZ9BnShZULI8zq/PbTQW6kvP4CzaNHjqLRaonYFMHQoUNYuGBhTllWVhaLFy8hPHwVEZs2snFDBM+fm68fv3rmEXqtgd5zGtK8W1X2rzdetiQIAr8tv0SHIUH0/LYBPjVKkPqn9HptfZaexfs2sKj7BFb0mMqv5w/xNM30+zJ1Gqb8tIQdZ/fl69OR40fRaLRsWbuRYQMHM29JmPHvMzNZGr6C71aEs3nNBtLT0zkeFWnGcezIcTRaLRs2fcfgoQMIW7DYJC5LFy9nRfgy1m9ay6YNm3n+/IWkLVFHz6LValkZ8S19hnRlxcKNZnV+++nAa9vpyHGxjbasi2DYwCHMW2xso8zMTJauWsF3K1ez+buNpGekczzqhCSPTq9nwferWBE6i7Wj5vHzib08STXto2t2baFVnaasG7OQKl4+7Dixx9yeo0fRaDVsjohg6JChzF9oas+yFcv5bvUaNm2MIC09neMnzO05czwerUbHnLWhdBvYjvVLTNff30i6x9DJXzBz5WBmrhws+TADkHDqHnptFoPDWtDm6yB+XxObUyYIAj8tOcunw99l0IL3qVKrFM8fS++zuhunIksn0HpsKap/VJgLPxnj4lRIQYsRpWgxohTVOxSmiJcDPu+5mXEcjjqGVqth2/J1DO8ziLkrFpmUX05KpNvQPtx5UPA6+J4tBzCj23zslQ4mnyvkCsZ+OoWeYZ/z5byP6dyoK8XczW/wPnI+Cq1Oy6Zpyxn6WR8WbFmRU6bT65m/eTmrxs5j3aRF7DiyK1+t0mXpWfBTOMsHz2LN8HnsjNpj3md2b6FV7SZ8N3IBlT0r8nOkeZ9JOf8MvU7gi2mBNPq8PMc238opEwSBA2uu06qfD59PCaRCkAcvn5jvfzh57AJajY6lG6bQa/BnrAozf5DbteMwN6+9fr9CXNR1dFo9Y5d/Qsc+9flxRZRJ+Z2UP+nxzfuMXNSRkYs6Sj7MAByKPo5Gq2H7orUM7zGQuauXmJRfTr7Cl6P6cfdh/jpeu8L72MsdGP/Lp2w5M59u9UxvP+9WdwzTd3/FxF8/o11gD1zspe9mO3viMjqtjtlrhtB1QBs2LDWdGN1IuseQSZ8zfcUApq8YIPkAkZPXGyMYOngo88Mk8jp8DZs2ZOd1pLTOnD2RgE6rZ9aaQXTt35qNS0z3+dxIus/giZ8ybXk/pi3vJ2kLwLkTiei0emauGUCX/q2IWLInD88DBk3szJTlfZiyvI/ZwwzAkSNH0Gq1bNq0iaFDh7JgwQJTn5YtY+3atURERJCens4JCa0COH70JBqNlrURSxk4tBdLFhrH/qysLFYs/o6l4XNZE7GELRt/4MXzVEkea8whjl44KY7Zk5cx9NNeLNxqyjF/y0pWjZnDd+PD2HE0/3mI2H+1bF/8HcN7DmDu6sUm5ZeTr/DliL7cfZi/Xh2OPIZWq2VL+HpC+w1m3rJcY60mkyVrVrJuaThbVq0Tx9po87E2x/fvw1kZ+i3fjZ7PjhPmOrP69820fjeEdWMWUtmrIjuO7zbjOXIuUhwrZ61k2Bd9mRex3KQ84fpVvpo0mLuP8t9nqM/Ss3DnGpYNmM7qIbPZGb2PJy/zaN6+bbSq1Zi1w+ZSuaw3O06a7wutWqIhCpk9q88OYH/KalpXHpBTlq59xnfnh/Hd+WEcSFnDw7QUzt+zfD+cDdbB3/JAc+PGDcLDw1mxYgV79ohitnSpcfJ//Lj5xqnw8HB++eWXv8McYlMuU79abQACffxIvGm8kfvmwzt4liiNu4sbSoWS6r4BxCZL3xYfc+USDWvUBSCoSgAJ166alGt1OhZ/863km5lXiI+9Sp36wQD4B1YiKdH0htuEi8kkxqfQrtP7r/cpNpYG9euLPgUGkpBgfBiRy+Xs3Pkzbm5upL5IRRAEnJ2dzTjuXHmGTw1xMPGsXJgH117klD19kIGTm5LTv99g3fho1GlaipVxlbTl1p/3KVukJO5OrigVSgLLVSHudp7Y6HW0Dm7MV43N3xS9QszFOBrWE30KCggk8arRJ3t7ezatXo+To/jrqz4rCwcHezOOuNiL1K8vtlG1wGokJhjtkMvl/LTze9zcXHPFxcmMA+BS7BXq1K8OSLfT5YtJJMQn8+Fr2ikmLtboT7VAEq/k8WftBqM/+iwc7B0keW4+Mu2jwb7+xKaYHl4Qdy2B+gG1AGgQUIuzV2LNeMQ+00C0JzCQxETjzd729vZs2rARJyfRnqwsvWR8r1y8QY16VQGoHFCea1dNJ6HXr95lx8ZDfNNnMT9tPJhvbG4m/EnlmuIbr3JVi3E3xTjw/Hk/DWc3B078ksSKUYdQpWkoUVZ6Qvj4mobS/qLNxb0deXpba1ZHEATObn/Gu12KIpOZrx2Oib9IwzrZ7eRXjYTkKyblWq2OJdPnFvhmBuDun7cYvLKX2efeJX258/gWL1Wp6LJ0XEg5S03fd83qxSbFUz+wDgCBvn4k3MilVQ9u4/lOGdxds7WqcjVirkofzHHr4R08i+fqMxUDiL2Wp89cT6C+X3af8a/NmavmfeZ+0ksqBHkAUNrXjT9upOeUPX+oxslVwYW9D9g+NZ7MdD1FSpvrzOW4JGrXDwTAr5oPyYmmBxckXkrhSvw12nYMkfTlFa7FP8S/jqit3n4luZ1seuP57eTH7N16njmDf2LvlvP58sQkXKRhrXoABFcN4HJKXh3XsnTSHCq8RserlqxJ7F1xkpfy+CIVi1czteVZEs72bijl9oAdAtKHiV65eJPqdasAUDmgHNev5M2ne+yIOMK4vkvZsfGwJEdsXAF5vT5PXtub5zXA1Yu3CH5XPJGoUkA5blw1nRDfSLrPzoijTOi3gp8jjkhyGHkqZfN4cf2q6YPhzaT77Iw4xsR+q9gZcUzap9hY6puMb6Y+RURE5PIpC/t8fLoYe5l6DcSxPyDQj6sJxnySy+Vs37kOVzdXUlNfIggCTvmMB9aYQ8Qmx9Mg0MiRcNN40lRObr/iqBRATFI+85DLF2lYSxzjgqtW43KyRP+dPJcKEm8Wc2y5FEeDd8UcCAqoRsJVo+bZK+3ZvGodTo7imwsxvvmMTXl99ylgbKpWmzMSY1PMlXgaVhf1MKiSP4nXTU/h0up0LB41gwplvMz+NseWR3fxLFYKd2fRliBvP+KuJ5jUibuRSL2qNQGo71eLs0lxZjzlPAJJeXoWgHupiZRxlz6lq22VIfyWuBABQ742/Xth9w/+++fwtzzQ7Nmzh759+zJgwAAePXpEWFgYKpXx1KdLly7xyy+/cP/+fVasWIFWq8XOzo5790QBHTJkCJGRkcydO5fly5dz9epVwsLCmDFjBnfvvv2pIxlqFa7OxqVUcpkMfVZWdlmGSZmzozNpaulfgzNUGbi5GOvKZHL0Wfqc/67hF0ip4tK/SOdwZKhxdTUO+jK5DL1etOXpn8/ZEP4jw8b2LNinjAxc3YwPGHK5HL3eaItCoeDwocN07vwpNWvWQKEwX12oUelxdFbm8seOrCwxOVUvtdxNek7t1uXpPrUuNy495cZF6dPeMjQqXB2NPjnbO5KhMT3ly93JlXd9ggr2ycXok0xm9Ekmk1GsaFEAtvywHZVKRb06dc040vPERYyvaVyOHDrKZ527Ur1mdcm4AKgy1Li8tp2+J3Rs74L9cX0Df77fhkqtot675v5Adv91MvY7F0cn0vP00XR1Rk4dZ0dns3LIjk1ue+Sm9hTNtmfrtm2oVGrq1a1nxqHK0ODsYnxFL5PZkZUdF4CG79eg/5hPmLZ8IFcu3uRcVIIZB0CmSoeji3Tfy0jVcOvKE+q38aXvtyGkxP1BSuwjSR5dpgF7J6OM2dmBIct08njvkhqP0koKlVTm/XMxLqoMXE3yWmaa19WCKFXCfImUFA7E7EGfpTP73NXJjTS18XShjMwM3JzMH9Iy1Crc8tGqdJUqj1aZ94McnzJN+4xU3YxcdZwdpLm0aj32zsYcsZMZ46tO0/MgOY3g90vxyXh/7iSkcvvyCzMOVXqeXJLJcvrM0z+fszH8ZwaP+UrSj9zIVGlxcjFOXO1y9RmA2iG+fDG8KSMWfkRK/AMunZI+8S09j47L87a3f1CBOu6kdEWlNbanwZCFzM64JPLusxTmdPyZhZ33EHPnqEnd3FBlZOLsmiuf5LI8+RRMv9EfM3VZf65cusn5qEQzjjfO6+355zWAWvV6Wxo0D6LP6I5MXtqHqxdvcf6kuS0ijyYPj6lG1G8eSO/RHZi8tBdXL97iwskrZhwZGRm4uRnfpsrz82nrVnEsqCftU0aGChfXXLmdS8cBFAo5Rw9H8mXnvgTXDEShkF5SbY05hDmHPBeHaZmLkxPp6nQzDnjVf3ON/VL9t8Tr+296himHTCYzHZuKZI9NP21HpVZTv7b5jy9gqiGQ7bsqj87kGr9c8hmb8sYwrwZXr1KNksUKmFvlscXFwYl0tcq8jmMuzZM4NdZB4Uym3mijQTCY5DZAleL1eZxxiycqy0/Ts8F6+FuXnO3YsYPw8HA6depk9obg/fff5+DBgzg5OXH06FFevHjB/fv3SUxMpGLFivj5+XHv3j08PDxITk7Gw8MDe3t7Hj58+NZ2uDg5o8rVcQ2CgEIuzy5zISPTuJRKlanCzVn6TYSLswsZuRJEEAwo5G+3DcnFxQlVrmN0DQYhR0SPHTxF6ouXjBn8LVvX/8LhfVHs/e1YPjwuZGTk8slgMJucN2vejAMH96PT6fj9d/PXog7OCjRqo2gIAsjlYpdwcrOnSEkXSni6IVfI8KlRnAfXX5j8ffihbQxYN5lRW+eYxlCbafKA86ZwcXEhI5cY5vXJYDAwf0kYp8+eJmz2POzszJ/+XfPERZCIS0jzpuw7uAu9Tsfu382X2QA452knkUdsp6MHo0l9kcaYwTPZun4nh/ZFsfc3818szdpIkPBn8ULRnznzzfwJCwuj97xRhC6bTEau/puRqTbro65OLqiy20CVR9hzx0ZVUHwXLuTU6dMsnG9ujxgXB9QqTa64CMiz4yIIAu0+a4y7hytKpYKa9f24kSy97MHRWWna9wxCTt9zcXegWGlXSpYrhFwho0qtUty7Jr38QukoQ5eZ6wFGECdQuXHzTDq+EkvNXsHV2YUMVe4+I7x1XheEdHUaLo65H0pdSFOZL29xcXI2aWuDYMjRKldnZ1Tq3Fpl3g9W/LqBPgtHMXzlFBOtkqrr4uhs7DMaNW5O5rpn76RAqzZOAIVc8XV0VeBR0pFiZZ2RK2SUD/IweYPzCs6uTqhyHS8sCIacPnPi0Flevkhj3NB5bN/wO0f2nWL/b9LLhxyd7dGojA+LufuMIAg0+zgYt0JOKJRyAuuW507Kn5I8rnl03PAXdFytS8dJaWxPOzsZBkGMk1eRytTwasLAbSEM3NoUd6ei1PVuJcnj7OKIOsOYT4Y8+dT200a58qkqN5LNl8G5urigyiggr8Oy83qedF4DODk7kqnK35Y2nzbE3cMFpVJBjfpVuJksvfzHyfn1GvGKR6FUUKN+ZUkeUTtf79OCBQs4ffo0CxYsyNcnFxdnVCbjpGD20NK02Xv8fmA7ep2Ovb9Lv1W2xhxCzO3cY78hF4ezSZ/MUJvn6ytYo/+6uuTRPEEwi++8ZYs4de4MYTPnmsV3+c719Jo7kmFLJ5OeaWwn0XfTsSd37DLyjU1en95cg8PCwuizZCzD10wzHSc1arNx0MXRGZUmt+aZj5MavQoHuXH+Ymdnl5PbrxBUqgXn7v3+Rvb9G2GH7B/790/ib/m21q1bExYWxtOnT+nRo0dOMqxYsYLvvvsOEAXrxo0bNGrUiLi4OEaPHs2UKVPYvXs3MpmMwoULU7p0aTIyMvDy8uKPP/5Ar9ejVkvv43gdgn38iboovkK8dC0Rn7IVcsoqlPLizh/3SU1/iU6vIyYpniAfP0me6lWrceL8KQAuXr2Mb7mKb21LQHBlTkeJr1wTLiXj7WN8hfpxlw9YvXUOi9dOocvXHWjWqiGtP2wi7VP1YKKixDXkly5dwtfXJ6csPT2dnj16otVqkclkODk5SS618apShJQL4rKNu0nPKVHOOOkr/I4z2kw9Tx+KYnUn8RklvEwnhX2bf86KHlPZM3ot9549IlWVhk6vI+5WIgGeb39XQ/XAYCKjTwJw8fIlfCv6mJRPmz0TjVbD4rkLc5Zq5UVQ9UBORkUDEH8pHp88cendo19OXBydnLDLZ6NjteAqnImKAcR2quBjXH7SqUsb1mydx+K10+jy9Uc0b9WQ1h+aL5epHhRMZLTYRhfjJfz5dgYarZbF88Ik/QkNDWXNqHkcXPA9dx8/IDUju48mxxPoXdXU74p+RMWLffzk5fPU8A0w4wsODiYyu89cvHQJXx9fU3tmTEer1bA4LCxnOUdeVAn05kK0+Mts0uVblKtoPChBlZHJkC5zUKs0CIJA/IUUKlbxlOQp71ecq+fEicztK08oWcEjp6xISRc0aj1PHoi/at+4/CfvlCskyVPcx4H7l8VB7M8bmXiUMV968vS2luIVpZdMAFQPCCLyTHa/S4zH1/vt87og3HiUQrkSFSjk7IFSrqR2pbrE3rhgbkvlAKLizgBwKSURX0/vnLIKpctx59G9HK26cOUigb6mWjWg/VesHj6PA3O3c/fPB6RmiDkZk2LeZ4Ir+hOVkN1nEs5R3ce8z5Sp5MbNOHE/3IOUNIp5Ggd6j3cc0WZm8fyRqMn3r76kaFnzHzL8gypx9qR4B1di/DUq+Bj7xEeft2TllhksXD2Bz75qR0irerT8sJFkDCsGlCL+zC0xnomPKONdNKdMnaFlao+tZKq1CILA1dh7lKskvcejhn8gJ86KGhF35TKVyr99e199dIEaXuK9Fb4lgrjzzLgESaVNQ5uViVavwSAYeKl+iquDdP+tEliBmFPiG4qky7fN8mnYF/Ny5dM1KlYpa8YRHBxM5MnX5PXM6Wg1GhYvzD+vRVvKE3NKXL6UfPk2XhWNbyVVGZkM77owx5bLF65TsXIZSZ7KgeWJPZWUzXPHhEedoWFE10Vk5vDcwFuCp3r16nnGN1Ofpk+fjkajYdGiRa/1KTDYn+gosY9fvpRIRV/j2J+RnkH/nsNzjQeO+Y4H1phDBFfKldvXEvH1zMVRulwejksE5jMPMe2/8VQq7yNZ73WoXi2IyNOvxtp4fL1NOabOm4VWq2HJtwtylp7lxsCPvmbt6PkcWpg9NqUbx6agiqZ2B/n4ExUv3kd1Mv4c1SXGpupVAoiMOS3ak5yAr5e3WZ38EBoayuohszkwcwt3nzzM0bzYa5cJrFDF1BbvqpxMFG2JTjxPsLe/Gd/tF/FUKia+kSpbyI8/0s3f9JZxr8SdF5bfWWeDdfG3nHJWsWJFQkNDTT4bPHiwWb1p06YBMGbMGAAcHBwYNWpUTvnYscaNlsHBwX/ZnpCaDTmdEEP3GUMQBIGpPUex99RhVBo1Hzdpy4jP+jFgwVgEg0D791pRonAxSZ7mdRtzKu4cX4zuiyAIzBg6nl3HD6BSq+ncSvq0rLx4L6QO509fYmD3CQiCwJipAzi0Nwq1KpN2H0ufDCbpU0gIp0+dplu37iAITJ02lT179qJSqejU6WNaf/ABPb7uiUKhwLeSL23amJ+YUqVuSa5f/JO1Y04iINBhcDCXjt9Hm6mnVstytB8UxI6FMQgCeFYpTKVa0q98FXIFQ1p1JzRiJgbBQNsaIZRwL0qqKo1vf13F7M9HSf5dXjRr0pRT507TtfdXCILA9AlT2L1/Lyq1Cv8qfvz8+y/UCK5Oz4F9Aej66ec0a2L6INE0pAlnTp3l6269EASBydMmsnfPftQqFR07fUTrD1rS6+t+KBRyfCv58kEb6V9O3wt5l/OnLzGg+zgEQWDs1IEc3BuJWqXmw49bvKE/IZw6c5quPbuL/kyayu592f5U9ePn37L9GdAn258uNGtq/mCkVCgY3rkvA8PGYxAMtG/YkhKFi5Ga8ZJpGxexYMAkerXtwqR189gZuRcPV3dm9f7G3J6QEE6fPs2X3bshCDB96lR2792DWqXCz8+fnb/8Qo3qNejVR1xK90WXL2gWYmpP3SbVuHguiTG9F4EgMHhCF47vv0CmWkPLDvXp2r8NEwcuQ6lUEFi7ErXqSw/KAfXLkhz7iKXDD4Ig8OnwusQcvYVWrafuBz50HlaHLXOiEQQo71cMvzrSkyevYGceXlGzb85DBAHqf1WUm2fT0WUKVGrkRmZaFkpHu3x/wQVo/l4Toi+cocugHggCzBwziV2H9qFSq+jcLv89X2+CtnU+wtnBmR8itzDnh6msDd2KzE7GjqjtPH5hvowupNZ7nIq/QLfJgxAEgWl9x7Dn5CFUmWo6NWvHiK4D6D97NAaDgQ5NWvNOEfMN1QBKuYLhnfowaOk4DAaB9vVbUMKjGKkZaUzfHMb8vpPo2fpzJm+czy9R+/BwdWdmj7FmPL61i3I7/gVbJ11CAFr19eHKyT/RZmYR1Kwkrfr4sHtZMoIgPvxUrFHEjKNh01rEnLnMkK+nIggCoyb34fDeaNTqzAL3zeRG9fcqcuXCXWYP+hEE6D6mGWcOJaFR62jULoAOveqxIHQnCqWcqjXKUq1ueUme5vWbEB1zjs9DeyMIArNGTGDX0f2ijn/Q4Y1sOXvzIIFlGzCjvXhC1vJj39DQpy2OShcOXfmeg4nbmd5+G/osHY9e3uFYkvSlk+82DuDi2WS+6b0EARg0/lNO7I8hU62hRYd6fNHvAyYNWolSKSewli8161c142jWNDuvv8rO6yn55HXf7Lz+3DyvAeo09ufiuWTG9VkOgsDA8Z2JPBBLpkrD+x3q0qVvK6YMCkdpr6BaLR9qSNgi8vhx6VwKE/qsRBAEBozvRNSBODJVWpp3qMPnfVswddAaFPYKqtWqSI36Vcw4QkJCOHXqFN26dRPzYNo09uzZg0qlwt/fn507d1KjRg169xZ96tKlC82aNTPjaRLSkHOnY+jdbQgCAhOmjmL/nsOoVWo6dGpLy9Yh9OsxHIVCjo+vN63amHOAdeYQITUbcvryBbpNHQwITO09mj3Rh8XcDmnLyC796D93LIJgoH2jVvnmdvMGTYiOOcvnw3pl99+J7DqyX9SrNh9J/k1eNGvUlOhzZ/iiXw8QBKaPm8zuA/uMY+2uX6kZVJ0eQ/oB0PWTz2neuKkZj1KhYETnvgxYNA7BYKB9Q9H31PSXTNsYxoKBk+ndRhybfj6xBw+3Qnzb21xnmtVpxKlL5+k6vr/YhweOZXfkQVSZaj55/8M38kkhVxDaoReDV07EYDDwYV2j5s3Ytph5vSbQs8VnTNm8kJ3R+/FwcWdm99FmPFceR+JTtBZ96iwH7Pj58mwCSzbHXu7E+fu/46wshEZv+QXn/z/xX72Hxk4QBOndiv8BWHrLL4g3/eqTpPeOvCkUlUVxe6i6aBFPKecg1BJrPt8WTo7ObL8ywiKOz6ou4Nn30huS3wZFPg1E+1x6H8Cbwr6w+No4PfOFRTyujh48Uln+q0tJ5wC0qZa1k30h8ZfujBO3LOJxaVQejert32rmhYOzE1eem58I8zaoWrg1v9+YYrEt7bynMONYS4s4JjTZD0DWg5cW8chLu1Old2mLOACurnlA5oX8T/B5EzjWLE36Eel9I28D15AKrInpYTFP7xrruJt+ziIOT9faHH+wzGJbGpcehOGm+UmPbwNZBfHUtE/C3/7tc2782DeZhGeWn4zkX6QtmgzLctvBxYn4p78WXLEAVCvanotPpR/a3hRBRcUfDzIzzU/Kexs4OjryXG352F/YydPiOYRzPfFtpPpswSckvg5OdcpiuP3CIg4AWTkPdH9K7+d6UyiLu6GKvG2xLc7vldWUJvUAAQAASURBVEN76Q+LOOwDxR9Z0/Zfs4jHraUPEw40togDYEYL8wOv/o14pr71j31XEafy/9h3/U/cQ2ODDTbYYIMNNthggw02/DdvbPlvemWDDTbYYIMNNthggw02/E/gP73kzAYbbLDBBhtssMEGG2wQYY0lmW+Kwk7SBwP9HfhPLzlTncz/Fvc3hXMDL4t5nBuIJ5lZugZWVs4D/R+WrX8FULzjhuGOhbZ4eZD6+9WCKxaAQu2qoHsmfd7+m0JZRDwGMuue9C3Pbwp52UJk5XM88Fvx+BRh2dkuFnEMqiPepm5peyveceN7974WcQB8+jKcl2rL1ju7O71Dptqy9fEAjk6O3Jkmfdz2m8Jr0gcAvNyTXEDN18P9g0oW730Bcf+LpXtxrq55wP350pcvvg3KjGzG85+l7w96GxTu6E/awesFV3wN3N6vyL05+V/Q+qYoO+Z9Xu5LsYjDvZV40paluleoXRWL926BuH8r676FmlemkNVs0T21UMeLijque2IhTzFXdFekj+x+K56qxa2iD4DFe06c3ytn8T4cEPfiWBobZdXipB++YbEtrs28LeZxbSaehmYNnzTpVthr6pr/iXs2/P34Tz/Q2GCDDTbYYIMNNthggw0i/un7Yf4p/De9ssEGG2ywwQYbbLDBBhv+J/A/8YbGYDAwa/MSku/ewF6hZNJXw/F6x3ivxfG4U6z+bTNyuZwODVvRsfEHfxuPwWBg2tK5XL2Rgr3Snumh4yhXxnSNoTozk55jBzNj+Hi8vcrna8v0hbNJup6CvVLJ1NETKVfWyLP70D42/bgNuUxOpYo+TBw+FlmeS8MMBgPTluSyZXg+towZzIwR+dsCEJlwlrUHv0cul/Nh7eZ0qCt9V8u2E7/xNO05g9p0l/Zp3mySryWjVNoz7ZuJeHka7dlzYB+bvt+KTCanko8vE0fl49PiOWJc7O2ZNmK8pE+9Rg9i+sgJr43vtBXzSLp5DXulkmlDvqFcaQmeCUOYPnQc3p7mPIJB4NjGOzy5o0ausCOkVzk83jFeUvbHjQwit9wDBJwLKWnRrwIKe/PfGKzR1q9QulUg/mPbYNAbuLnpJDc2RknWK17fl7pre/C7n+l9NgaDgTmzFpKSfB2lUsmEyaPx9DJe9nfk0DE2rNuKnR189PGHdOjYVpLfYDAwc9ZMkpOTsVfaM3nyZLy8jJfM7t27l81bNiOXifcFjR83Pl+fnCqVwP09HxAE0mPvkRFruj5Y7u5I0Q8DQWYHdvBsl/nR3Ccun2XtgW0oZHLavfs+H9UzPRb6RXoqEzbNR6PTUqxQESZ/PhRHe9ML5wwGAzPXLyL59nXslUom9x6FV0mjPhy7EM3qnRHIZXI6NGnNxyHSsQEIrFCdkR+Pp9v8TiafNw18nwHtQsnK0rPj5HZ+jNyaL4ejdzHc6lcAg0BG/ANU8dJL41xqeCJ3sedlpPTysMgr51h3+AfkMjltazWjQ533Jettj/qdp+kvGNjqS8nyE/FnWLt3K3KZnA/rteCjBqZ3QL1IT2X8hrlodFqKFyrC5K6huOXhcKxYDPcG3ggGAVX8AzIu3jcpl7s5UvgDP+xkdoAdz/cnon9mfoT6ictnWLtvOwq5TGzv+ua2TIiYj0anoVihokzuMhT3vHGxkuZNWzQnJ7enjZogrVcjBzJ99ERJvTLRPKU900bmo3mjBjF9VAGaZ6Etr3imz59NckoySvtsHS+bR8d/yKXjI6V1fPr87LHA3p5pY/NwHMzFUVGaI4cnfAHJt66hVCiZNmgsXqVMLydVazLpPTmUaYPG4l22nBnHK/wVjcjbZ47HnWL1ri2iBjRsScdGpnOE52mpjFvzbXYOFGXK1yNwcjDXmVkbF5N85zpKhT2Te40wnYfERBP+y2YUchntG7Xm46bmd9BZNS6XTrNmz1YxD+q1oGPD1qY+pacyft2cHJ8mdwvFyd78ss6/wuP6N/hkMBiYOXsWScnJ2NsrmTJxMl6exrFpz769bN66BblcRiXfSowfOy7fscmGfxb/E61wNPYkWp2WiPFLGNKpJwu/D88p0+n1LNi+ipUjZvPdmAXsOL6bJ6nS+yiswXMo+jgarZbti79jeM8BzF292KT8cvIVvhzRl7sPX79e9nDkMTRaLVtXrie072DmLQ/LKcvUZLJ07UrWLw5ny8p1pGWkcyw60tyWk9m2LMm2JTyPLUlX+HJ4wbbos/SE/fYdS/tMJbz/THae3s+Tl6Z3PmTqNEzaupCfovPf+3D4xDG0Wg1b1mwgdMBg5i3N5VNmJktWr2Dd8nC2rFlPekY6x0+a+3T45HG0Wi3blq1jeK+BzF2V16dEuoX24c6DAuJ76oTIs2ANw78awNy1S015Uq7QbUx/7jy8nw8DXL/wAr1W4JPJVaj/aRmithq/UxAEjnx3m+Z9ytFpYhXKBRYi7alW2pZIy9sawE4hI3j2JxzrsJijredT8ev3cCyRd8gFpzKFqTy4OXZKuVnZsaORaDRa1kWsZNDQvixauDynLCsri2WLw1kRvpB1ESvZtHEbL56/kLTlyNEjaDVaNkVsYujQoSxYuMDoU2Ymy5YvY+2atURERJCens6JEyckeZDZ4dGiKo+3nOWPDadxreGJzMXepEqhppVIO3ebxxFneBl1HY+Qyibl+iw9Yb+uZVm/6YQP+padp/aZ9d+1B7bTsmZj1gyZQ+Uy3vwcvc/cp/NRaHVaNk1bztDP+rBgy4qcMp1ez/zNy1k1dh7rJi1ix5FdPHkhrTM9Ww5gRrf52CsdTD5XyBWM/XQKPcM+58t5H9O5UVeKuUtfvofMjkJNfXnyYyx/br+AS1AZZM6mcUEho/AHfrhWN799PndsFu9az+Kek1nZZzq/nj3A0zTz3J78/SJ+Om0ek9w8C3esZtmgGaweNoedJ/fy5KWp/2v2bqNVrSasDZ1H5bIV2RGV594jmR0ezSrz5/cx/Ln1vOhTnrZ2f68i6TF3+XPbBV6evkmhRua3qOuz9ITtXMuyAdMJHzybndHmerV2f3Z7D50rtvfJfeYc1tC8KFHzti1fx/A+g5i7YpFJ+eWkRLoNfb1eHY7KpXm9BzJ3pYTmDXsDzbOCLZBHx/sPZt4SU71asnoF65aFs2X1etLT89HxVxyrNxDaL89Y8IpjaThbwvMfCwAOn4lEq9WyZU44od36MW+96Z1Gl69dpfu4gdx9lL+Og3U0QqfXs+D7cFaGfst3o+ez48QesznC6t830/rdENaNWUhlr4rsOL7bzJajF06i0WqJmLyMoZ/2YuHWVSbfMX/LSlaNmcN348PYcXS3pM5YKy66LD0Ldqxm+ZCZrAmdy86ovWY+rdmzlVa1m/LdiPlU9qzIz5Hm95lZg8daPh05dhSNRsPmDREMHTyU+WELc8oyMzNZtmI534WvYdP6CNLS0zkemc/Y9K+G3T/475/D/8QDTWxKAvUDagMQWNGPxFvGjX43H97Bs0Rp3F3cUCqUVPcNIDY5/m/jibl8kYa16gIQXLUal5NNN5hqdVqWTp5LBYlf/E144uNo+G49AIL8q5GQdCWnzF5pz+YV63ByFH8FycrKwsHewZwj4SINa2fb4pePLVMKtuXmH/coW6wU7s6uKBVKgipUJe5mYh4uHR/UbMrXzT7Jlyf2YhwN6tYXfQqoRsIVI4e9vT2bV6/HyVHcdJel12Nvb2/GERMfR8Pa2XHxM43LKzuWTJ332rdNADGJF2lYU4xNUJUAEq7l5dGyZMJsvD3z/+XqYXI65QLFB4aSPq48vmn8pfjFIw2Orgri9j1mx4wkMtP1FC5l/qtVjk8WtjWAe+VSpN/4E90LFQZdFn+eukax+qYTPpmDglqLvuDC8G2SHBdj46nf4F0AqgX6cyUhKadMLpfzw85NuLq5kpr6EgQBJ2fpTZKxsbHUbyC2dWBgIAkJxk3o9vb2RGyMwMnpVVtnSbY1iBuA9c9UCJl6MAho7j7Hwcv0tvoXB66gTnmc7aAdgt5gUn7zj7sm/Te4gh9xN0w3xcfdSKRelZoA1K9ai7PJ5pfkxibFUz+wjuiTrx8JN3Lpw4PbeL5TBnfXbH2oXI2Yq9IX09798xaDV/Yy+9y7pC93Ht/ipSoVXZaOCylnqen7riSHoogL+hdqBI0YF+29F9iX9TCpYyeXoUp4RNrpW5IcADcf36Ns0ZK4O2XndvmqxN3Kkwt6HR9Ub8JXTT/On+fRXTyLl8bdWfQ/qKI/cdfyxPh6AvX8smPsV4uzSXEm5cqiLuifq3J80tx7gUMen1KPJpN5XbwI2c7ODiHLtK1f2WLS3t5+xF2XaO+qr2ypydlkU1uspXkx8RdpWCdb8/yqkZCcJ7ZaHUumz32tXsVcfgPNm/YGmmcFWyBbx9/NpeNXc+m4Mo+OZ0nreOylPGNBXo7wgjkAYq9cokENMUeCKgeQcM18jFs8dhYVynhJ/XkOrKERZnMEH39iU0zfFsddS6B+QC0AGlSrzZkrseY+JcfTIDB7HuLjR8JNowbn6Myr76gUQEyS+TzEWnG59dA0r4N9/InNm0vXE6ifndcN/Gtx5qq5T9bgsZZPsXGxNKjfQOSpFkhiounYtGn9xlxjkx6HfPqeDf88/tIDzaxZs1ixYgXjxo3j+fP8b1/esGEDAN26dWPFihUcOXLEpHzp0qX8/PPP3Lt3j8GDB7N8+fKcv3mFgwcPcv/+fZYuNf2F/G2Qoc7A1ckl57/lMhn6rKzsMpVJmbOjE2lq6ZvrrcGTrsrAzcU1D4c+579r+AdRqsQ7BfuUYcojk8nQ6/U5/79YkaIAbNmxHZVaTf3a5hOf9IwCbAl4Q1s0KlwdnXP+28XBifRMU9/dnV2pW7n6a3nSM9Jxc83lkzwfn37M9qlOXXMOVQauLnk4/oJPZjwyuSmPXxClir+eR6vOwt7Z+JbDTgaGLPGUdHWanocp6QQ2L06HsZW4l5jG3QTp04as0dYASjdHdKnGk1z06ZnYu5s+cNSc/zlJSw6gfvgiX1tcXI39PHcbASgUCo4cPk6Xzl9TvWYQCoX0qtaMjAzcXI0LiuRyuYlPRYuKPm3dthWVWkW9evUkeWQOCgwaXc5/C1o9MkfT7zSodWAQUBR1oXDzqqSeMD3tKiPTtP86O5r33wyNOqeOs0T/BlED3Jyl9SFdpcLV2VQf0vPRmQMxe9Bn6cw+d3VyI01tPPUuIzMDNyfzN2wAMgc5Bo2xXQy6LGQOpnERNHo0t19/ql+GRo1L7thI5baTK+9WCn49T6YKV6fXa4TYDmKMpOJjZ68w8UnQZmHnoDSpk9PWRZwpFOLLy5PmpyiJtuRpC0lbXrW3M+lq02VrVtM8VQauLrnyKa8GVwuiVImSb8BhLc2zzBaRxwo6npFuqnl/geOVT7lz0synqoEF6jhYRyPM+50zaao8dXLNI1wcnSU1IkNtqiVymdx0HpKrzMXJiXS1+alx1opLemZGTs5Ctt/q/P2Wipu1eKzmU3oGrq55xn6psWn7NlRqNfXqSo9N/2bYIfvH/v2T+Mt7aORyOffu3WPBggWULFmSWrVqER0dzaNHj6hZsyZubm6cP3+eZs2aIZPJUCgUlCtXjqVLlzJ48GCzBxQ7OzvS09NxcXFh//79PHjwALVajU6nQyaTkZSUxNKlS6lWrRpNmjR5K1tdnFxQZRoncgZBQCGXZ5c5k5FpHKxUmWrcnF3NOKzF4+rsQkauwdEgGFDI374ZXFxcyFAZeQRBMJk8GgwGFqxcwq27t1k0fS52duav/lxdLLNl5d7NXLx5hWsPb+HvVSnn8wyNGrdc4vSmcHVxJSPDKFKCQcKnZYu5ffcOYd/m45OzCxnqPBx/Ib7mPG/fTvZOcnSZWbk4QCYXbXZ0VeDxjgNFyogPFF7V3Hl8U4Wnv/kE1dK2DpjYnuJ1K1IooCzPzt/M+Vzh6og21wOOY8lCFKvvg6t3cfzHgn1hF+qt78Wpr9ea2KLKyGVLnjYCCGnWmCZN32PqpG/Z/ft+PuxgvpfMxcXFpK0NBoOZT2GLwrh9+zYL5i8w86lQ00o4eBZG+Y4b2vsvcj63s1dgyNSTFw7li1CkdQBPf7mI/qn4vWFhYZw9GGXWf1WZatwcTXPXxcEJlUaNo70DKo0aNyfz/p1XA8R8EvXB1dkZldoY69fpTH5IV6fhkiuvXBxdSFOZHtvr1sAbh7IeKIu5on1kLJMp5eg05nHJD6sObOXirStcf3QbP09fo91vmdsrft9I3PVErj24SUB541K/DI0aV6c8MXZ0NsY40xhj9/cqij4Vd0P70OiTnb0cQWP+4OfgVRiPFlV4tivBZP/Myt2biLuRwLUHt/AvZ7Ql93dJ2qJR5ZSHhYVx9oB5n/nLmuecJ7f/gl5ZVfMstEXkcSVDVYCOL8/W8Vn5jU1vwLFiMbfv3CFspjRHjk/qPNr5NmPcnk3E3Ui0SCPCwsI4dySalHs3CfDO3e9MfwABUUNUmSoc7R3IyFRJaoSoM7nmIQaD6Twkl78Z6jebh7xtXFb8tpG46wmk3L9JQPkqRp8ktNE8r12tzmMNn3J4XF1Q5R6bBPOxaeHiRdy+c5uFc+fn2/ds+Ofxlx6f3Nzc6Nu3L71796ZkyZJkZWWh0+moV68enp6efPrpp9y6dYvKlSvj6elJzZo16dOnDxUrVszhyMrKMuFs0qQJY8aM4datW7i4uODk5MSjR4/w9PSkcuXK+Pr6MnjwYC5fNt/QWxCCffyJij8DwKXrifiUqZBTVqGUF3f+uE9q+kt0eh0xyfEEVfT723hq+Ady4mw0AHFX4qlU3nyN95ugekAQJ06fBOBiQjy+3qY8U+bPQqPVsHTWgpzlSJK2nMm2JTGeShXezpb+rbuyasBM9k3ZyL2nD0lVpaHT64i7kUi1XOL0xj4FBhF5Ktuny/H4VjS1Z+qcmWi1WpbMWZCz3MCMIyCIyGyfLibG41uhomS9Am3xCyTy3CmR5+plfMu/PU+pSq7cihPfujy6lk5RT6PNhUrYo8s08OIP8V6WB8npFCmbv0+WtPXl6b9ytM1Cfq04Elfv4tgXdkamlFO8vi9Pzxp/wc58lMrempM52mYhR9ssRPs8w+RhBiAoOICTUacBiL+UQEVf75yy9PQM+vQcjFarRSaT4eTkiEwmLfbVg6sTFSUeSHDp0iV8fX1NyqdPn45Go2FR2KKc1/u5kXo0mccRZ7i/4DCKwi7IHJUgs8PRqwjae6ZvjR3KF6FwSz8ebz1rMiEODQ0lfNC37J+2iXtPHpKaIfbf2BsJZv03qIIfJ6+cByD6ynmCvf3NfaocQFRctj6kJOLraYxNhdLluPPoXo4+XLhykUBfaZ3JDzcepVCuRAUKOXuglCupXakusTcumNRJO3mDJ9/H8HBlJAoPZ+wcFSCzw76sB9oHb35nSb8WXVjZZzp7xq/j3tNHObkdezORAK/KBRNkY0C77qweNocD327l7p+5YnztMoEV8sTY24+TCecAiE48T7BPAAAvI6/z57YLPFh2HHkunxw8C6PJcw+Lg1dhCjWrzJMfYtE9Mn3j2b/Nl4QPns3+GZu59+cDoy3XL0u0d1VOJma3d+IFgiuK7R0aGmpdzQsIIvJMdm4nxuPr/fY6Y6Z5f4HDWrbAW+j47NfoeLUCOObORKt5PQdA9SrViLwg6tXFpMv4lvPOt64U+n/wpcUaERoaytrR8zm08HvuPn7w2jlCkI8/UfFiDpyMP0d13wAzm4Ir5dKZa4n4euaah5QuZzoPSbpEoI+5zlgalwEfdmd16FwOzNnG3Vy5FJNymUDvqqb2evsRdTnbp4TzVPfxtzqPNXzK+Z6gYCJPimPTxfhL+PqYjk3TZk5Hq9WweEGY5Nj0fwF2/+D//kn8pTc0aWlprFy5kgcPHpCVlYWbmxs6nc5sHatcLic52fRiKnt7eyIiItBoNDg7G1/hHj16lIcPH1K6dGmuXbuGUqlErVZTuHBhYmJick6REAThre0NqdGA04kX6D5zKAICU3uMZO/pI6gy1XzcpA0jPuvHgIXfIAgC7Ru2pEThYn8bT/MGTYiOOcvnw3ohCAKzRkxk15H9qNQqOrf56I19at6oKafOn+GL/j0QEJgxdjK7Du5DpVYRUNmPn3f/Ss3A6vQY1g+Arp0+p3mjpua2XDjL50OzbRn512xRyBUMa9eDIaunIAgC7eo0o0ShoqSq0pj5wzLmfvVNwSRAs8ZNiT57hi96fw0ITB8/md3796JSq/GvWpWff/+VmkHV6TEo26fOn9G8SYipTw2bEH3hDF0G90QQBGaOnsSuw/tQqdV0bvsW8a3XmOjYs3QZ0RsBmDlsPLuO7Rd5Wnd4I46KNT24e/klP04V1/I2612epOhn6DKzCAgpTkivcuxfcRMEKOXrSoXgQtK2WKGtAQS9gbhvfqLxzqFgZ8fNzdGoH77AvrAztZd242TXVWZ/kxdNQhpx5vR5enTrD8CkqWPZt+cgKpWajp0+pFXr9+nTYzAKhQIf34q0biN98lNISAinTp+iW7duCAhMmzqNPXv2oFKp8Pf3Z+cvO6lRowa9e/cGoMsXXWgW0sycyCDw4uAVin9RW3zLG3ePrDQNMkclRdpV48mPMRRu4YedXEbR9kEA6J6aLlVQyBUMa9+LweGTxP777vuU8ChKakYaM75fyrwe4+jRojNTti7il1MH8HB1Z0bXkeY+1XqPU/EX6DZ5EIIgMK3vGPacPIQqU02nZu0Y0XUA/WePxmAw0KFJa94pks+G/jxoW+cjnB2c+SFyC3N+mMra0K3I7GTsiNrO4xePpP/IIJB6NIVincQlT6rLDzGka7BzVFC4RVWe/Sa9TzAvFHIFQ9t8xbB10zAIAu1qGXN71s8rmNN1zBvzhHbszeDlEzAIAh/WfZ8SHsXEGG9dzLzeE+jZ6jOmbFrIzuh9eLgUYuZXo819OpJE8c41wM6OjEv3c3wq0sqPp79colCzytjJZRRpI052dM9UvNh/xcyWYR/1YvDKSQiCgXa5bdm+hHk9x9OjxadM2RLGL6f24+Hizoxuo8w5rKB5zd/L1qtBPRAEmDlmErsOibnduV3HN+N4pXmDeiJggeZZwRbI1vFzZ/iiz9cgZOv4gb2oVNk6vitbxwfn0vHGIdIcffNwqNX4V8nFMSSb4xNzDoBmdRsRffEcX4zpBwhMHzyO3ccPoMpU80nL9m/skzU0QqlQMKJzXwYsGodgMNC+YStKFC5GavpLpm0MY8HAyfRu04VJ6+bx84k9eLgV4tveY81sCanZkNOXL9Bt6mBAYGrv0eyJPizqTEhbRnbpR/+5YxEEA+0btZLUGWvFRSlXMPzj3gxaOh6DINC+foucXJq+eRHz+06kZ+vPmRyxgF9O7sPD1Z2ZX5trhjV4rOVTs6YhnD5zmi+/7oYgwPTJU9m9dw9qtQq/qv7s/PUXalSvQa9+4tj0xWdf0CzEvO/Z8M/DTvgrTwj/R6A6ecdiDucGXhbzODcQN6EZbr+wiEdWzsPim+NBvD3ecMdCW7w8LL4xG8Rbs3XPLLwZuoj46jnrnoW3ZpctRNa11+8peCMenyIsO9vFIo5BdcTjeC1tb8U7bnzv3tciDoBPX4bzUv2HRRzuTu+Qqc602BZHJ0fuTMv/5Kg3gdckcRmcNW4Cz7wgfRzy28CxZmmq9C5tEcfVNQ+4P/+wxbaUGdmM5z8nFFyxABTu6E/aQemjoN8Ubu9X5N6cgxbbUnbM+7zcl1JwxdfAvZX4S62luleoXRWyHkjvl3sbyEu7k3XfQs0rU8hqtuieWqjjRUUd1z2xkKeYq8U3x4N4e7w19AFAFXnbIh7n98qhPvv60+XeBE51ylocG2XV4qQfNt+b9rZwbeZtMY9rM/EtjDV80qSrC65YABxc/2+8sXmptjw/3hTuTm/2w5018D9xypkNNthggw022GCDDTbY8N/E/8TFmjbYYIMNNthggw022PC/jn/69LF/Cv9Nr2ywwQYbbLDBBhtssMGG/wn8p/fQ2GCDDTbYYIMNNthggw0i0tWW7xV+U7g6FSm4kpXwn15yln7kZsGVCoBrSAWrbOgDyDhxyyIel0bl0V6ybGM2gH3gO1bZIGu4a9mGVACZZyHS9l+ziMOtpXikZ8axWxbxuDQpT+b5+xZxADjWKmOVTYpgnc2OTyLOW8QBUKxbLavkgbUO6rDWZlJr5KS1dMbSDf1lRjaz+GABEA8XsNaBH9bISc3FfE5yews4BJW0ms5Yo+9ZS2eefX/JIo4inwZarf9aKyc1sQ8t4nGoXspqm9atoQ+AxQeHONYsbbXDRyw9XMCpTlmL4wJibKwRF7DO4S7WygMb/v/hP/1AY4MNNthggw022GCDDTZkw+6/udvkf+aB5sSl06zZswW5TM6H9VvSsWFrk/Ln6amMXzcHjVZDcY+iTO42HCd780sKj8edYvUukadDw5Z0bGR6C/rztFTGrfkWjU5L8UJFmfL1CJzzclw8zZrftyCXy2nfoIUkx/i1s8nMtmXKVyNwcjC1xWAwMGPtQpJuXcdeqWRqv9F4lSqbU37s/ElW/bQRuUzORyEf0Kl5u/xjc/kMa/dtRyGX0e7d9/mofiuT8hfpqUyImI9Gp6FYoaJM7jKU3PfZGwwGpi2Zw9XrKdgr7Zk+YjzlyniacKgzM+k5ZhAzRkzA26t8/rbEn2Ht/m1iO9WVtmX8xnnZ8S3C5C+G4ZaH4/jF06zZLbZR+wYt6PhenvimZ8dXpxHb6KsRZm1tMBiYuX4xyXfE+E7uNRKvkmVyyo/FRLN65yaxHzRuxcchbc18MRgMTA9fQPKtaygVSqYNGmvSRgBqTSa9J4cybdBYvMuWk4yJtXgAopJjWB+1E7lMRtugxnxYXfr8/O/P7uVZeir9Qz6TLLc0DwwGA7M2LyH57g3sFUomfTUcr3fKmPL/thm5XE6Hhq3o2NiUPzfE3N6KXC7nw3ot8s/tbFsmdwsl793Z1shJoy2W64yjdzHc6lcAg0BG/ANU8dK/ZLrU8ETuYs/LSOnjkQMrVGfkx+PpNr+TyedNA99nQLtQsrL07Di5nR8jt0r+PUBkwlnWHvxejG/t5nSoK3230LYTv/E07TmD2nSXLP8reZn7rnCDwcDMtWEk3b6GvdKeKf1G4VXSVPPCd4ia16FpAZpnBZ35K/3u79CZV4i8ep71x34Sc7tGCO1rNZestz16N8/SnzOgRVfzuFip/1qakwaDgZnrwki6fR17hZIpffO09YVosa3lcjo0+YBOzfKPizXaCf6aRpj13/WLSL6d3da9R5m29YVoVu+MENu6Set829oaPAaDgVkbxX6nVNgzudcIU/2NiSb8l80o5DLaN2rNx03b5Btfa81nrBGbE5fPsvbANhQyuTiXqdfSpPxFeioTNs1Ho9NSrFARJn8+FMd8+6/leWDDP4v/5mNaHuiy9Cz4KZzlg2exZvg8dkbt4Umq6RrCNbu30Kp2E74buYDKnhX5OdL8ngudXs+C78NZGfot342ez44T5jyrf99M63dDWDdmIZW9KrLj+G4JjlWsCJ3F2lHz+PnEXnNbdm2hVZ2mrBuzkCpePuw4YW7LkXORaLRatsxaybAv+jIvYrnJd8zdsIzwCQvYMHUJPx36nSfPn0rGRp+lJ2znWpYNmE744NnsjN7Pk5emN62v3b+dljUbs2boXCqX8ebnk/tMyg+dPI5Gq2X70nUM7zWQuasWm5RfTkrky+F9uPvg9a+69Vl6Fu5cw7IB01k9ZDY7o/fx5GWe2OzbRqtajVk7bC6Vy3qz4+Rek3Jdlp4FP65ixdBZrB05j58jXxPfUa+J74UotDotm6YuY+invVmwZaXxO/R65m9ewaqxc1k3MYwdR3fz5IX5mtTDZyLRarVsmRNOaLd+zFu/zDQu167SfdxA7j56/fITa/Hos/QsObSZsM/HsvzLifwae5Sn6S9M6mh0Wqb+uoKfz+d/94c18uBo7Em0Oi0R45cwpFNPFn4fbsq/fRUrR8zmuzEL2HF8txl/Tt0sPQt2rGb5kJmsCZ3LziiJ9t6zlVa1m/LdiPnZuZ2nz1gpJ62lM8jsKNTUlyc/xvLn9gu4BJVB5mx6aTEKGYU/8MO1elnzv89Gz5YDmNFtPvZKB9M/lSsY++kUeoZ9zpfzPqZzo64Uc5e+K0CfpSfst+9Y2mcq4f1nsvO0uT5k6jRM2rqQn6LzvxvIGnl55FwUGp2WzTNXMrRLH+ZHrDDy6/XM27ic8PELWD91CTsO/86TF/lrnlV0xsJ+B9bRmVc+Ld63gUXdJ7Cix1R+PX+Ip2nm7TTlpyXsOLtPksNq46QVYnPkfBQarZbN01eIbb3JNC7zIpYRPm4+6ycvfm1bW6udrKERR85nt/W05Qz9rA8Ltpj23/mbl7Nq7DzWTVrEjiO78m1ra/AcvXASjVZLxORlDP20Fwu3rjLl2LKSVWPm8N341/c7q81nrOCTPktP2K9rWdZvOuGDvmXnqX3mc5kD2XOZIXPEuUy0eS5YTcf/xbD7B//3T+J/4oHm1sM7eBYvjbuLG0qFkuCKAcReu2xSJ+56AvX9agHQwL82Z67GmvHcfHgHzxJGnuo+/sSm5OG5lkD9gGyearU5c8WU5+YjU45g3wI4Ampx9oq5LTFX4mlY/V0Agir5k3g9Kafsxv3beJUsQyFXN5RKJdWrVOPCVem11jcf3aVssVK4O7uK9nj7EXfd9FK9uBuJ1KtaE4D6fjU5mxxnasvlOBrWrgdAsF81Lieb3syt1elYOmUeFTzLS9qQ2xbPYqVwdxZjE1SgLbU4m2Rqy828be3jb97W1xKo7/+qraXjG5t0mfpBtQEI9PUj4aYxvjcf3MbznTLGflApgJgk8/jGXrlEgxrZbVQ5gIRrpvsStDoti8fOokIZr9fGxVo8t548oGzhd3B3ckEpVxDoWYmLd5NM6mj0OlpVa0i3BvnfrGyNPIhNSaB+QHZ8K/qReMu4BtqM3zeA2GTpm+1vPbwrtrdzrvbO22euJ1DfT+wzDfxrmeW2tXLSWjqjKOKC/oUaQaMHg4D23gvsy3qY1LGTy1AlPCLt9C3JuADc/fMWg1f2Mvvcu6Qvdx7f4qUqFV2WjgspZ6np+64kx80/7pnoQ1CFqsTdTDSpo9Xp+KBmU75u9km+tlgjL2OvXqJBcB3+H3vnHRbl0f39D1uAZUGxxBgLNrCBIGoSW2KLibG3mJgYNfYaxRKNxl6iomLvsbcUNcUWYwfsioKgFHuPFdkO7P3+sbD1Bsvuk/f55dnvdXldsjP7vc+cmXPOzN4zc8DR5127c4PSxUtSwDdnzFQK5dylvH2es37GFeMOXONnAK4/vEOpwsUpoDD1U2iZypy/YecnsjL5uHoDujdoL87hovHrCt3EXU6w9HVQMElX8+vrapy7/J/zD+AaHxGXnEDdUFObQoOqknjVyufl9rVNm8T72hU8cSkJ1AvNGXeBLzPuxPXrKt/pijZde2A3lylXlfNXRey6co5dV6nFqZQLDjyusgM3/nm88oJm+vTpLFmyhDFjxvD06dM8661duxaAhQsXArB9+3Zu37b9hX7hwoWsWLGCn3/+mcGDB7N48WLz93Lx119/cefOHTPP60Cl0+CrsLz89fFWoNKqbeqorer4eDmW29cx8fiQobHj0VrqKL19HJ+jteVQisii0qotsohwmHjU+PpYeCQSCVnZWaYyjW2Z0tsHlcaRQ7xNClQ6Ed14mzYM+Xj5oNJqbOXVqPFTWjYMSK1kAagREsZbxd4UfX5+sii9FA7PMsli1U86kfIX6Vf3MvrV4GfFI5VIycrONn3frg99FOL6VWnU+OXRRwA1qoTy1hsv1oureNQGLUovSyZjH09H/RVQKHm3fGj+PC6xA7UNh2nMZDt818SvIEOkjyCnL72t6orYro1ti41vF9mkq/yMxEuKUW/pX2NmNhIv293Bgj4L/Y38b6rZd243WdmZDp/7KvzI0GZYyaTGT1HAoR6AWm+xfcixSTv9FfDxpXal8HxlcYVdqrSaPH2eSmtrI0qFwmFM5inLa/gZV4w7cI2fAcd+8vH0Rq23t21f3g0ME/2+qU2uGb+u0I3J3iwxxaGvrcqUCh8yNKo82uS6fnLWR6i1Gpsxau3zVBrbsS2me1fyqO1syXrc2ZcpFQpUWnH9um4+44I26exsQMzX67VWcxnxvnaVHbjxz+O1ztBIpVJu377NnDlzKF68OLVq1eLYsWPcv3+fmjVr4ufnx5kzZ2jSpAlnz55lxYoVXLx4kfDwcKKiolCr1XTr1o2srCwuXbrE8OHDiY6ORqVSoVQq+fPPP7l79y5arZbMzEwkEgnJycksXLiQatWq0bBhw5eSc8lvazl/JZHUO9cIKVvZ/LlGp8XPx3YXvdLbB41Oi7enFxq91sZhLt6xhrjURFJvXyOkfCUrHlsjBJNz1eg0eHt6odZpzM+Jiori9MFjpN6+Skh5iyxqEVl8FUqLLHbGZXmOErVVEDYKAjKpqTuVPkrUVgHYWo5cLN21gfNXE0m7e53gMtZt0toEWLNu9Lm60TiU+/ooUVsFWmtZXgZLdq7n/NUk0u5eI8RKFrVe69B2W1ksstrot5ydfhV2+vW206+PmH59UOu0ljYZjcikUtP3c/o4Fxqto34hRy9WfSS8ol5cxbPi8E/E30oh7e+bBJeoYJHboMXP2/6EV95whR1Yyk19kAvTmJGav2s9fsXsdcnv68RtW/+C8Ws1Hlxlk67yM371yuNVyh95UV8M9y03CErkUjKtFjjOQqXNQOltPQlRkqGxvbFw6Z6NXLh2ibR71wkOqGj+XK3X4uftaC95YfGvObpxgV36KnzQ5OHzfBV2Pk+rtfmRBVzoZw7EOjXubOo46WeW79/ChZuXSXtwg+CSQZa6Bp3N5C4/uGr8usImc2GyN+u+NubT1456cZUsi3es5Xxaokvitr1fM7Upp699fNBoLeNATPeu5Mlv3CkVPjbxRq115HClXpxtU1RUFKf+inHwVRqdFj9vu/HrpRC1a3CdHfxfgDuxZg78/Pzo27cvvXv3pnjx4mRnZ5OZmUmdOnUoXbo0n376KdevX6dSpUqULl2amjVr0qdPHxo2bIjRaMTf3x9PT0/u3buHTCajSpUqeHl50bBhQ0aNGsX169dRKpUoFAru379P6dKlqVSpEkFBQQwePJiLFy++WMgcDGjTnRXDItk3ayu3Ht4lXZ1BZlYm51ITCC1fxaZu9QrBxCSeAiA28TThgSHmsoHtvmLVN7PZP/dHbv19l3TVcxNPSgJhFara8IQFBhOTcNrEk3Ca8CATT0REBCtHRvLXnBwOtYXDXpawClWJSciR5eIZagSFYI/wyiFEnzsBwIWURIICypvLypcsw817t0nPeE5mZiZnky4QVjHY5vv9W3zJ8sEz+HPqRm5b6SbuykWqWRkzQFi5KsQmma7+PZZ0luoVbLlqBIdx9NQxAM4nJVCxXAVeBQNadmXF1zPYN20Ttx7ds8iSdpHQcnaylK9CbNLpHFnOUL28SZaIiAhWDo/kr9k/5vT18zz7OqxCVWIu5vb1GWoEiui3Yggx508CEJ+aRFBpi37LlSjDzft3zOPg7OV4QoOqOnJUrkb02Zw+Sr5IUJnyDnVeBs7y9GnYiUVffsfOoUu4/fQBz7UqMrOzuHDzMiFWk6AXwRV2kIvqgcHEJOTo90oSgSUt112WeyuAmw/u5Ms/oHU3VkTMYt/MLXa2fdHRtstXJeZijiyJZwgPtBozLrBJV/mZjNirPPrxHPeWRiPz98HDWwYSDzxL+WO46/wV6bm4ej+VMsXKUdDHH7lUztsVaxN39axNnf4fd2HZgGnsnbiO24/vka4xten81SQH/5AfBrbt7jK7rF6pGtFxpjFj8nlWYybX5+Xa5CVHn+cqP+PsuLOGs36m7wedWdJjEru/WcXtJ/ct/XQ9iZDSFXkZuGr8usImzeWVQoiOy/F5qYm2eilZhpv3b9voxaGvXSTLwHbdXRa3wyu9qK9tx69YTHEVT3XrcZeWRFDpcrYc1v43OZ7QQFsOV+rF2TZFRESwfND3/Dl5A7et7fpqoshcpiqxl3LmMpcsdg2uswM3/v/hlX8uzsjIYOnSpdy9e5fs7Gz8/PzIzMzE09P20KpUKiUlJcXhuw8ePMBoNKK1WnEDHDp0iHv37lGiRAnS0tKQy+VotVoKFSrEuXPnkEhMa6/XyQMql8oY1rEPgxaOwWgUaFP3Q4r5FyVdncGUjVHM7juenh93ZsK62fwasxd/3wJM6zHakUcmY3invgyYNwbBaKRN/WYUK1SUdNVzJq+LYs7ACfRu8TnjV0ey/ehu/P0K8n3v0Q4cwzr1ZWDUWIyCkTb1PzJxqJ8zed085gwYT6+WJo4d0Xvw9y3A9N7fOsjS5J33OR5/hi5j+yMIMGXgaHZF/4VGp+WTpq0Z2W0QfaeNwGg00q5xc94sIn7oVyaVMbRdLwYvHY8gGGlVu6lZN1O3LiCy51h6fPgpEzdF8evxP/FXFmBq15E2HB/Ub8ixcyfp/HVPBEFg+sjx7DywF41WS6eW7V66n2RSGRFtezF46TiMRiOta1v6aeqW+UT2+o6eH37GxI1z2XHMJMu0bt+I9HVfBs7P0W9dK/2un8ec/uPp1eJzxq+JZEdMjn57Ouq3ca36HE84S9eJgxAEmNz3G3bHHkCj19KxcUuGd+lP/5mjMBqNtG3wMW8WdtRvk9rvc+zCab4Y1Q8QmDJ4DLuO7DP10Ud5n1H5T/HIpDIGf9CFiC0zEQQjLcIa8EaBwjzXqvh+10q+7xjxUjyusIPGNepxIuks3aYNQUBgUo8R7DlxEI1OS4eGLRj+WT8GzP0WQRDMNiIqi1TGsA69GbRwLEbB3rbnMbvvOJNtr5/Dr7E5tv3VKIf2uMImXeVnMAqkH0qlaEfTNi7NxXsYVXo8vGUU+rAKT34X38/+IrR8px0+Xj78FL2JmT9NYlXEZiQeErbFbOXvZ+K5XmRSGUNb9eDrFRMRBIFW7zShWMEipGsymPbTImZ1d9SDGFxhl03eeY8T8Wf48rsBCILAlAGj2RXzF1qdlo4ftGZE14H0mzYCo1GgXaPmojaZ2yaX+Bknxx24xs/ktunrZt2IWD8No2CkZY3GFCtg6qfvf1vGjM4jRb/n2EcuiJMu0E2Tt9/jRMIZvhw3EAGBKf1GsStmf05ft2LElwPpN30kRkGgXcO89eKqfnKFj2hc6z1TX08YhCAITO47it2x+9HotHRs0orhXQbQf8Y3pr7Op02u4Glcsz4nLp6l66TBgMCk3t+w+9gBE0fjloz4vB/9Z41GEIy0eb9Z3vp1ke90RZtkUhlD2/Ri8PLxJl/1blOK+Rcx2fWPC4nsMYYeH3Zi4uZ5/Hp8H/6+BZjaZYT4mHGFH/+vxj97WP+fgofwOiuE/yNwJ9YUhzuxpjjciTXzhjuxpjjciTXzhjuxpjjciTXz4HAn1swT7sSa4nAn1nw9aHTiZ6L+E/Dx/ue24/3P5KFxww033HDDDTfccMON/2W4z9C44YYbbrjhhhtuuOGGG278l8H9hsYNN9xwww033HDDDTf+B/BPJ7z8p/CvPkPjhhtuuOGGG2644YYbbpig02lfXMlF8PZWvLiSi/CvfkPjqgPI2XefO8UhLWFKWmd46lzyJc9CSrLvOH8QX1qyIHtvTHeKo1mZMVwbvcNpWcrNaEfC49+c4qhWxHTTV1r6Yad4Ags2RK1zXr9K74IYLjp3eYNniClRpksO/WrzT8D4MvBVFOaZ1rmDzP6KkvytueS0LMV8qnBTdcIpjgDf2gAuuehg5bkeTnEA9K6xmqfbE19cMR8Uah/sssP8rrpcwBW+85HWucP8AEUVgS7z467wnTqtzikOAG+FN+cebnWKo8Ybn3Hh8XanZQkr0p476nNOcZRU1gAg84lzB5blhX3R2iVCfR0ovH14sPK4Uxxv9q4DuOZSAFcdxHf2YiHP0DedvuwDTBd+uCpOOnug37dxOXZfn+IUB0DzsuOc5vhn8O98Q+M+Q+OGG2644YYbbrjhhhtu/J/Fv/oNjRtuuOGGG2644YYbbriRg3/pQZP/iQWN0Whk+sYFpNy6iqdMzvjuwwh4s6S5/Mj546z4fSNSqZS29ZvRvkHzPHkmz5tJ8pVUPOVyJo/8jjIlS9vU0ep09BoxkCnfjKN8QFlRjqmR35OcmoKn3JNJY8YRUDrAXL573142bt2MRCqhYmAQ34381pxU1EGW+bmyeDJ5xFhxWUYOYsrI7/KQReDnhSe4e/UpMrmEzyLq8kbJAubyG8mP+HX5aQQBChRS8OXo95B7SkV1o6hSnEKNKyMYBVRnbpBx+rpNubSggjc61gCpB+DB4+1xZD6y3VpgNBpZOXsHN1LvIfOU0f/bjrxVypJQ8Y8tRzmw8zQF/JUA9P2mPSXLFHPgWDJzC9dSbyH3lPP12C8pUdq2DsCC6RvwK6Dkq0HtRdtjNBr5ftpMUlJS8fT0ZNyEsQQEWPR7YP9B1qxehwcetO/Ylnbt24pyTF05l+TrV/CUy5nU/xsC3iplU0er19Fn0jAmDRhF+VJlRGUBiL58hjWHf0EqkdCyRmPa1PpAtN7WY7t4onrKgA+7iMozY3okKSlpeMrljJvwLaVt2nSItas34OEB7Tq0pV371qIcs6bPJzXF1KYxE0ZQOsBiSwf3H2X96i14eEDbDi1p076FqJxGo5G505eTlnIduaeMUeMHUSrgLYd6s6YspkABP/oN6Zonz4IZ67machO5p5xh43pQsvSbDvWipq7Gr4Avvb7uJMpz5PxxVuzchFQipW39j2j/vq0PeJqRzpiV36PPNPBGwSJM/Go4Ci9vmzqCUWD/6iv8fVODVObBR30CKVTcsn/43pUMDm+4Dgj4FPSkxcCKyDzFX5JHXzrN6gM/IZVIaVmrCW3faSpab2vMHzxWPWNgsy8dORJPseqvH5FKpbR++wPa1v5QlGPL0d95nPGUQS26iZaHlgtnRIexdJ3d0ebzRqFNGdAqguzsLLbFbuXn6M2i33eF38zlmT19CWkp1/CUyxk94WtKBThujZs5eQEFCvrRf8hX/zF5XOU7jUYj06ZPIyXFFA8mTJhAQIAlHuzZs4eNmzYilUgJqhjE2DFjHeKB0Whk9Zxd3Ey7j0wuo8/o1hQvVcRcvmvrMQ7tPGf2m72+aUWJAMdEtUajkVWzf+NG6j3knjL6fdue4lb+d+eWaA7uPGPm6fNNO0qUcUxwaDQamf/9aq6k3ETuKWPEuD6UDCjuUG/OlJX4FfSlz9edRTmmRM4gJS0FudyTyd+OI6C0pY9279vLhh83I5FIqRgYxLiRo/OMk9OnTSclJQW5pycTJoy30e/+/ftZvXoNHnjQoWN72rcXjwcAsVfiWHfsd6QSCc2rvUer0Iai9X46+ydP1On0e9/W1xiNRqatmUfKDZPvnNB7JAHFLb7z8NljrNix3uSDGn5Mh8Yt85TlyIUTrPxjE1KplDb1PhT1V2NXzUBn0POGfxEmdrf1V0ajkamrrGJTP9vYdPhMLMt+WYdUIqVd4+Z0/KBV/rLsMvnONvU+pP17drKocmTJ1Jt8Z/fhKDxtfaerYuXR+BOs3G2SpXXdj2hf/2NHWVbPRJ+jlwldh4nIIvDLwlPcvWay7U+H1uGNkn7m8pvJj/h1+VkA/Aop6DKqXp7zIjf+WfxPbDk7FBeLIdPA+rEL+LpjT+b+uNxclpmVxZyty1g6fAY/jJrDtiO7eJQufubgQMxhDAY9WxavZlifQcxaMs+m/GJyEl2H9OHm3bwTVx08cgi93sCmVesYOnAwkQuizGU6nY6Fy5fww5LlbFy5FpVKxZGY6DxkOYLBYGDLotUM6z2QWUvnO8oyNH9ZEo7dJMuQTcT85rTqWZNfV1gSMAqCwI9Rx/h8eD2GRn1MlbdL8ORBHnubJR4UaVGN+6tjubfiKH7vlEXq62VTpdCHVXl+/Cr3V8SQfiiZQs2CHWhOHU0k05DF9JWD6NL/Y9Yt2GlTfjX5DoPHfcrkxf2YvLifw2IG4PiR8xgMmcxZPZruA9uxav4vDnX2bD/KjbT8z4McOmjS77oNqxk8ZCBRcyz6zc7OZsH8xSxdvpi1G35g/dqNPH36zIHj4Klo9AYDm75fytAufYlct9imPDHtMt3HDebWg/z3V2dlZzF/71rmdfuOJT0m8duZ/TzOeGpTR5epZ+IvC9h2am+ePIcPHUWvN7B2/UoGDxlA1NyFNm1aOH8JS5YvYM36lWxYt0m0TUcOxWDQG/hh/SIGDOnN/LlLbTgWz1/JouWRrFq/iI3rfuTZU/EzSdGHTqI3GFi2fib9vu7K4rlrHOr89sufXE3N/xxc7OFzGPSZLFg7np6DP2F51BaHOju3HeJaWt52kJmVxZwfl7M04nt++GY2247udvABK/7YyMfvNmb1qLlUCqjAtiO7HHhSzzwhK1Pgi8mhvN+5LIc3XjeXCYLAvpVXaNYvkM4TQykX5s/zR+LnKLKys5i/cw3ze05gaZ8p/HZqn2h/T/hxHr+cEO/vrOwson7/gYV9JrG8/zR2nPiTR88dOcZvnssvx3bnqZueHw1gatfZeMpt7VkmlTH604n0jOrMl5Ed6PR+F4oWEM8m7gq/CXD00HEMegMr1s+h35DuLJy7yqHOr7/s4Upa/ueiXCGPq3znwUMHMegNbFi/gSFDhjBn7hxzmU6nY9HiRaxauYr169ejUqk4evSoA8eZ6MtkGrKYvLw3nft9wMZFf9qUX0u5x4Dv2jN+0VeMX/SV6GIG4PTRJDINWUxbOYDP+zdj/QLbcXE1+S6DxnVi4uI+TFzcR3QxAxBz6AwGQyaL1k2m9+DOLI3a6FDnj1/2cy3tluj3AQ4cNfXRppVriRgwmMiFtnFywYolrF68nE0r16BSqzgSKx4nDx08hN5gYP2G9QwZ8jVz58w1l2VnZzN//gKWL1/G+g3rWLd2PU+fPhXlycrOYtGhLcz5ZAQLPvuWPy4c4bH6mU0dfaaBKbuWsyPuoCjHwTMxGDINbJi8mCGf9WHOpiXmssysLGZvXMyy0ZGsHj+PbQd38uiZ+DzE5K+WsSRiOqtGRrL96B4Hf7Vy5yaavdOI1aPmUjkgkG1Hbfvy4Omc2DR9KUO/6Evk+sU2/LPWLmL5d3NYO2kBv+z/g0dPH4vLkp3FnJ+XsWTIdFaNiGR7dD6yjBSXBVwTKzOzs5jzy3IWD57OymGR7Ihx9OMrd22i2dsN+WHEHCqVrsD2aEdZLh67RVZmNkPnNaNlj3B+X3HWXCYIAj/OO0nn4XX5eu5HVKn1Fk/zmhf9F8NDEP6xf/8k/pEFzcKFC1myZAlLliwhIyMDgNu3b7N9+3YWLlzI9OnTWbJkCWPGjHFwKGvXrmX79u3cvv362W3jUhOpG/I2AKEVqpJ03ZJV9tq9m5QuVoICSj/kMjnhQSHEpSSI8pxLuED9d+oCEFa1GokptgecDYZMFkyZlecvjADnLpynfp0cjpBQki4nmcs8PT3ZsGINipxbIbKys/Hy8hTnuXie+m/XsciSbCdLZiYLJkfmK8vVi39TpZbpF6KyVd7gVsojc9nft5/jU8CLIzuSWDB8L5oMA2+WLijKIy/mR+ZjNUZtJmQL6G48xqtcEZs6T3YloLmck/Fb4oGQle3Ac/nCdaq/WwmAiiFluHrZts+vJt9hx/pDfNdvCdvXiweNpPNp1KxjWixVrlaetEu2k5tL8Ve4fPEqzdq/n5daADgfd566dU36DQ2tRlKiRb9SqZRtO37Ez8+X9GfpCIKAj4/jTR7nLiVQP/xdAMIqBpN0Jdmm3JCVyfxvplKuZIDDd61x/eEdShUuTgGFL3KZnNAylTl/w/bwtyErk4+rN6B7g7x/YTwfd4G69UyH4auFhji06ZcdW0xtSs+7TRfiLlK73ts5HFW5nJhsw/HjjrX4+vmSnv4cQQCFCAdAfNwl3q1rOgQcHFqJy0m2B78vXrhMYkIyrTuKv1XIReL5FN6uWw2AqtUCSUmyPRyaFJ/GpYQ0WrRvlCeHgw8IDCYu9aJNnfNpidQNqQVAvWpvc/JSnAPPneTnlAvzB6BEkB8PrloC3dN7WhS+Ms7uucvWSQnoVFkULuEjLs/ftylVxNLfYWWrcP66nX1nZdI8vCHdG3UQ53hwm1JF36KATw5HuSqcv5Zky5GZSfOajfiqySd56ubWw+sMXtrL4fPyxYO4+fd1nmvSyczO5GzqKWoGvSvK4Qq/CRAfl0TtejUBCAmtzOVE+zFzicT4y7Tp0CxfHlfI4yrfGRcXR916JllCQ0NJTLRcDOHp6cn6detRKEw2lJ2VjaenYzxIjr9J2LuBAASFlObqZdtJ37Xku/y2MZqJ/X/g1w2OC6JcmPxvRQAqhgRw5bLtjz7Xku+wY/1hxvVbxo71h/PkuXg+mbfrhgFQNTSI5KSrNuWJF1JISkijZYcmeXLEXThPvdq5cbIaiZds4+RGqziZnZUlqhcw6bdeXWv9WnikUik7dmzHz8/Pyo+L2+SNJ/co6V8MP28lcqmMaqWCiL9tm53ekJ3JR8H16Fpb/M1KXHICdUPfMckSVJXEq1bzkLs3KP1mSQr45vigStU4d1n8Qphr9239VfWgF/irkFqcsvNX+cWmq3duEFC8JAV9/ZDL5YRXrsbZvGS5d5PSb1jJEhhMXJqILME5sgQ7yvIieeDlYuV1e1kqhDjKciWRulVzZXmbk5cdZbma+DeVa5ne/Jat8ga3Ui2LuYe3n6Ms4MXRHZdYNGIf6gwDxfKwbTf+efxjb2hkMhlFixYlKSmJ7dsdb1WRSqU8efIEmUxGVFQUU6dOJT4+nlOnTqHVavnpp5+YPHnyaz1brVXjq1BaniWRkJWdnVOmsSnz8VaQoRW/jUylUeOrtNSVSCRkZWeZ/65RLYy3ijm+WreRRa3GV+lrxSElKyvLzFe0iGkhsOmnrWg0Guq8UzsfWax4pHayhITxVjHHrTfW0Gky8VbKzX97SCRkZxtNcj7Xcz3pIfVbVWbgzA9JibtHctw9UR6JlxyjLtP8t1GfhcRbblPHqDGAUUBe1JfCLarxbL/jbUxajQ4fX8vrX4lUQrbVwqfeB2H0+aY9Exb24fKF65yJTXLg0Kh1KH0tk2iJxMPM8eRROptX7qT/N5/nqxfI6Sc/i36lUom5n8A0ng/sP8Rnnb6gRs1wZDLH3ZtqrRpfn7zHS3jlahQvmn8fAaj1Gny9LYHWx9Mbtd72Fp8CCl/eDQzLl0elVuPraz1mpA5tOnjgMJ916kp4zeribVJr8PVV2nFkW3FIOXTgKF069Sa8ZigymfireBOPpU0SqcTM8+jhE1Yv38qw0X3zbQ+AWqW162/LmHn88Bnrl+9g8Cjx7WpmDp29D/AhQ2PrA6z9hNLbB5WIjzBos/D0sejMQwLGbNMvVNqMLO6mZFC96Vt8MjaYm4np3Lj4TFwevRaldX97KVDpbJ9XQOHLuxWr590muzGjFOPw8aV2pfA8OQD2ndtNVnamw+e+Cj8ytBmW5+nU+CkKONQD1/hNMI0ZpdXYk9qNmR+WbWb4t/1fyOMKeVzlO9VqNX6+lu0sUqltPCiSEw82b9mMRquhTp06DhxatR4fpZXflNj6zTpNQug5oiXfLehGcvxNzsUmO3AAaDV6O//rYcNT94NQen/TlgkLe3H5wnXOxorfWKhRa1Fa2bZUam2TT1m3fBtDRotvB8yFSq3Cz9cuvlnHycI5cfLnrWi0WurmEScd/bijzzuw/wCdOn1KzZo1RH0e5Nikl5VNyr1R622vvvXzVvJO2ZA826TWavDzEZ+HqDQam1jh460Q9TG5PNb+SilSV2U15/ER8Vf5xSa1xrZM6e2DSpOHLLqXkEWXvywvkgdeLlaqHPy4oyzW8vp4ietYp8lEYWPbHmbbVuXYdr1WFek/4wNSz98nJQ/b/q+G8A/++wfxj52h6dOnD6dOnUIQBLKzbX+d9/Pzo2/fvkRHR3Py5En8/f3JzMxEp9NRpUoVFAoFn3zyCb/++utrPVupUKKxunfbKAjIpNKcMh/UVlc8anRa/Hx8HTgAfH2UqDWWuoJRQCZ9NRUqlUrUVs7BaDTaOFGj0cjcRfO5cfMGUTMi8fAQv17P10eJ2soYX0cWbx85eq3FaQiCgFRqWuMq/bwoWsKP4mX8AahcqwS3Ux9TKdxyzqHQh1XwKlsEz+IF0d+yvNqVeMlMb2vsn1e+KEXaVufhj2cczs8AKHy80Wn05r+NRgFpzoRYEARafFrfPHmtUbcy11LuUqteVRsOH6U3WrVlK49RsHDEHDhLerqKiUMX8vRxOnqdgVJli9O0ZV0HWZRKJWq1dT8JDsGuyQeNaNS4ARPGTWLnH7tp09Z2n7FSoUSt1dhyvEIfRUVFcXLvUdIe3CC4ZJD5c41BZzNZfVn42rVJsBt7AI2bNKRho/eZOH4Ku/7YQ+u2tr82KpU+aNRWtmQ0OixaGjV5nwaN6jN5/Ex2/7GPVm1t9zGbeTQWHsEomHkO/3WM9GfPGTl4Mk8eP0On0xNQriTNWzv+oqv0Vdj0t2DV30f3n+L5swzGDpnL00fp6HR6Spd9i49avweY9Hv64DFSb18jpHwlM4dGZzvxAJOf0Og0eHt6odZpRH2Ep0KGQWvxbYJgmhQCePvK8C/uTdFSpn4rG+bPg6sqyoT4m+sv27eZC9cvceX+DaqWtupvvRY/b1t58sLSPRu5cO0SafeuExxQ0fy5+hU4XgYqbQZKb+uJjJIMjfj2Qlf4Tch/7B36K4b0Z+mMGDSRx4+fotfpCShbihZtHM8euUIeZ32npU32fsYxHkTNi+LGjRvMmT1HNB4olF5orfymtQ0IgkDzTnXMC5XwOhW5nnqPGvUqOfL42PGI+N9cnhp1K3Et5S4161Vx4PFRKtDa9JOF58j+k6Q/y+Dbr2fy5HF6Tj+VoFnrBjYcvkpfO18lOOhlzqL53Lh1k6jvZ+UZJ0361dh8z9GPN6FR40aMHzeeP/7YSdu2bcxlK2O2kXA7hSuPblO1eHnz55pMHb5er+aD7ecaRsFonof4+vig0Vp0JjYPWbxjLefTEkm9fZWQ8pXNn6tF6vrmzHm8Pb3Q2E30TbLYxSbBYgNKH6WNnGL+bvGvazl/JUeWcnayKOxk8baTxcfRDzkTK6Oiojh9IJbUO9cIKWuRRUyHSm8fiyx6R1nBZNs6jbVtk69t30p9QkUR23bjn8c/eoamVKlS7Nu3j9OnT9t8npGRwdKlS9m3bx8hISE8ePCArKwstFotDx8+JCMjI0+H9TKoHhhMTMJJAOKvJBFYspy5rNxbAdx8cId01XMyszI5l5JAWIWqojzhIWFEn4wF4EJSAkHlK7yyLOGh1Yk+lsNxMZ6gCoE25ZNnTENv0DN/1lzzK/W8ZTnmlCzlgouRdMq0rev6pYeUKFvIXFbkLV/02iwe3jHlbrh68W+zEefi6b5L3F8Rw82pu5EX8UWikIPUA++yRdDftN276l2+KEVahfJgdSyGO89E5akcWpZzx01vblIu3iCgguVXUo1ax7Auc9Fq9AiCwMWzV6hQqaQDR9WwQE4fM71mvpxwlbIVLHVaf9qYBevHMmPZcDp2a0aDj94RXcwAVA8PIzbGpN/4+AQCgyz6ValU9OrRF4PBgEQiQaFQIJE4js/wyiFEnzPlS7mQkkhQmfIOdfJDREQES3pMYvc3q7j95D7pmgwyszI5fz2JkNIVX0xgh7DqocTGmPIqJMRftGuTmt49+5vb5K1Q4CHSptDqIRyLOZnDkURgUHkbjn49h1rpxVv0oC5AteqVOR5j2pucGJ9M+UDLIc+On7fkh81zWbhqGl981Z6mzd4XXcwABIcFcTLWtB0iKSGNcoGWg6TtOn/Ikk2TmbPiWz7t3oLGzeqYFzNg0u+qb2azf+6P3Pr7br4+ICwwmJgEk9+KTThNeJDjL7ElK/px7bxpy+zd1AyKlrZMePzf9Magy+bpfdOk5c7l5xQpZTsh6vfh5yztM4XdY1dz+7Glv+OuJRES4DgBFUP/j7uwbMA09k5cx+3H9yxj5moS1ayCvbO4ej+VMsXKUdDHH7lUztsVaxN39axoXVf4TYBq1atyPMbUBxfjL1MhqKy57JPPW7N6ywIW/TCDLl91pOnHDUQXM66Sx1nfaZalejgxMTEAxMfHExQUZFM+ZcoU9Ho986Lmmbee2aNitQDOn0gFIPXiLUqXt5wt1Kr1jOy6GF2O30w8d41ylcRzDFUKLUvccdPbm5SLN238r1atZ3iXeWaei2evUl7E/wKEVK/IydjzACTFp1I+0HKYv33nZizfPJ2olePp3L01jZvVc1jMAISHhhF9PDdOJjjEyUkzp2EwGFgwc06+cbJ6eHU7/Vp4VCoVPXv0zNeP967fgQWffctv/edz+9nfPNeqyMzO4sLtZIJL2Mr0IoRXCiHmfM48JDWJoNIW31muRBlu3r9t9kFnL10gNMjWBw1s152VIyP5a06Ov1Jb/FVoeduFZViFqsQknAIg9uIZatj5K4fYFGCRpXzJMty8d5v0jOdkZmZyNukCYRVtz7wObNudlcMj+Wv2j9x6aCVLah6yXMyRJfEMNQIdfaczsTIiIoIVwyLZN2trjiwZecpSvUIwMYm5spwmXESWclWLcem0abvl9UsPeausv7nMZNuZPLxjejttsu3/g1vO3G9oXh+DBw8GoESJEowbZ0k8VKpUKdH6o0ePNv+/QQOLs8vleVU0rlGPE0ln6TZtCAICk3qMYM+Jg2h0Wjo0bMHwz/oxYO63CIJAm/ofUayQ+KHJD95ryLGzJ/l8UA8EAaaNGs/O/XvRaDV0apX32QVrNGnYiOOnT9Cld3cEQWDKdxPZ9eceNFoNwZWrsv2PX6lRPZyeA03bbbp82pkmDRs7ylI/V5aeCAhM+2Y8Ow/sRaPV0qllu5eSJbReAMnn7hI1dDcI8Pnwepw5eBWDNou6LSrSeVhd1s84iiCYjDz4XfH+wijweFcCxXvUAw/IOHOD7Oc6JAo5RTvU4O+NJyncKhSkEop2Mu2Bz3yo4vGO8zY07zQI5sLpFMb0WQyCwMCxnYjeF4dOo6dp29p83rcZEwctR+4po1qtQGrUdfx1sE7D6sSdvMTwnjNBEBg6vjuH955Cq9Xxcbv8z81Yo1Hjhpw4fpLuXXsiCAITJ49nz+69aDRaOnRsx8fNm9Hrq77IZDKCKgbSvIXjW4gm777P8fgzdBnTH0GAKQNHsyv6LzRaLZ986HiDWF6QSWV83awbEeunYRSMtKzRmGIFipCuyeD735Yxo/PIl2xTA06eOMVXXXsjABMmjWXP7j/RarS079iWjz/+iF49+pvaFBRI8xaOZxEaNq7PqRNn6dV1EAIwbtI3/Ln7ABqNlnYdW/LRxx/Qr8dQpDIZQUHladZC/Da29xvX5syJC/TvNgpBgG8nDeavPUfQanS07vDRS+umXqOanD2ZyJCvpiAIAiMm9OLgnuNotbp8z81YQy6TMbxTXwbMG4NgNNKmfjOKFSpKuuo5k9dFMWfgBHq3+JzxqyPZfnQ3/n4F+b73aAeeoLeLcCPhGZvHxyMAzfoGcin2IQZdNmFNitOsTyC7FqUgCKbFT4UahUXlkUllDGnRnaGrJ2MUBFrVakKxgqb+nr59CTO7jHphm2RSGUNb9eDrFRMRBIFW71g4pv20iFndv30p3dij5Tvt8PHy4afoTcz8aRKrIjYj8ZCwLWYrfz+7L/odV/hNgAaN63D6RBx9uw5HAMZOGsq+3YfRarS06ehof3nBFfK4ync2btyY4yeO07VrVwQEJk+azO7du9FoNAQHB7Pj1x3UqFGD3r17A/D5F5/TpLHt4v7t9yuTcPoK4/utAkGg75i2xO6LR6c10KRNLT7r8wFTvl6LXC4juFY5wuuI/xjyToOqxJ9O5bs+SxEEgQFjOxKz7zw6jYEP2r5D574fMmnQSmSeMqrVqkCNuuIL5PqN3ubsiQQGdR8PAnwzsS8H9sSi1ejyPTdjjSYNGnHs1Em+6P0VIDBl7IScOKkluEoVtv/xGzXDwukxqB8AXTp9xgcicbJx48acOH6Crl27gSAwafIkdu/eg0ajoWPHDnzcvDk9vuqZ48eDaNFC/FZGmVTGoEafMeKXORgx0jzkPd7wK8RzrYqZ+9Ywrc2L5yaNa73H8YSzdJ0wCEEQmNx3FLtj96PRaenYpBXDuwyg/4xvMBqNtG34MW8WFr90QS6TMaxTXwZGjcUoGM1zlnT1cyavm8ecAePp1dLkr3ZE78HftwDTe9vae5N3cmLTWLvYpNPySdPWjOw2iL7TRmA0GmnXuDlvFslDFqmMYR37MnB+jix1rWRZP485/cfTq8XnjF8TyY6YHFl6OvoeV8RKkyx9GLRwDEajQJu6H1LMvyjp6gymbIxidt/x9Py4MxPWzebXmL34+xZgWg9HP16tXmmSz91j/tC9CEDnYXU4e/Aael0WdZsH8dmwOmycEYOAQNmqb+Q9L3LjH4eHIPzD1xD8g9DE5n9D0svAp16AyzJMG56K70N9WXgWUpJ9x/lM9tKSBV2S7fra6B1Oy1JuRjsSHv/mFEe1IqYtAmnph53iCSzYELXOef0qvQu6LAPykx/FD2O+LAp/GopKK35bzqvAV1GYZ9r8b4Z7EfwVJflbI77v/lVQzKcKN1UnnOII8DXtuddE538j1ovg814ZVp7r4RQHQO8aq3m6PfHFFfNBofbBpP/heDbtVVGwVWUq9xb/Ff9VcHnlXZf4zkfatBdXfAGKKgJd5sdd4Tt1WvEb7l4F3gpvzj3c6hRHjTc+48JjxzOtr4qwIu25oz7nFEdJpemSkMwnzt0aJS/si1aneXHFF0Dh7cODlced4nizt+nMk+5s/jdZvgjeNUugPnrdKQ4A5ftlMcQ7GZtC30R92AWyNCzrsjipOnjtBTXzh2/jcuy+PsUpDoDmZce9uNJ/AfQq7YsruQhevnm/QXU1/ify0LjhhhtuuOGGG2644cb/PP6l7zH+J/LQuOGGG2644YYbbrjhhhv/Tvyrt5y54YYbbrjhhhtuuOGGGyYYnju/JfNl4Vng1W9kfV38q7ecueoMTeZjJ/f0FjFdDeiKvavaE6+fYDQXitql0OgyXlwxH/h4+/HsN+fPQ/i3qeL0fnJvhekqUVfsvTY8c+6cE4Cnv9LpsedTz5RALOOvK07x+DWtwPO9qU5xABRoFsTz3SkvrpgfR/OKPFgW67Qsb/arx/qEgU5xdK1mykStOnD1BTXzh2+T8txSnX5xxRegtO/bLulrV+1td/a8CZjOnDh7Fufyyrsu2e/t5atwyRklgCfa607xFFaUdZmfccW5TH2G85MbLz8fsv52LqbIipny8RhvPnOKRxLg77RewKSbR+vPOMVRtKspiaOz51+U75clK/nRiyu+ALJKRdGecm4OoXinlMvmVq7QC7hGvyrdM6c4AHy9/Z3mcOP18a9e0LjhhhtuuOGGG2644YYbOfiX7styn6Fxww033HDDDTfccMMNN/7P4n/iDY3RaGT6xgWk3LqKp0zO+O7DCHjTkhTsyPnjrPh9I1KplLb1m9G+QfM8eabMnkFKagpyT08mfzuOgFKWpGG79+1lw0+bkUikVAwMYtyI0Q6JBY1GI1NXzSX5+hU85XIm9fuGgLds7zHX6nX0mTKMSf1HUb5kGcRgNBqZvn4+KTevIJd7MqHHcNs2xR1j+W8bkUkktHn/Yzo0dLxf32g0Mn3aDFJSUvH0lDN+wjgCAizt2b//AGtWr8MDaN+xPe3bt81Tx9FJp/hh/09IJVJavd2Etu9+KFpvS/TvPMl4xsDmXUXlmTZ9GikpKXjKPZkwYQIBAQHm8j179rBx00akEilBFYMYO2asqH6nRM4gJS0FuTynj0rb9dGPVn000rGPcnmmzvqe5NQUPD09mTRmHAGlLbLs/nMvG3/cjEQioWJgEN99862oLK4YdwBHE06yas9mpBIpret8SLt6tjlinqnSGbt2FvpMA28ULMyELhF4e3o78lw8yaq9W5FJJbR6tynt6jryfLd+NvpMPUULFmHC50Py4DnFqn1bkEmkJp46HznybJiNPtNA0YKFmdB5CAXsOGKvnGfdyd+RSqQ0D65Pq2qOCfYAfjq3jyfqdPq994lDmWAU2LPyMn/fUCGVedCif1UKv2XZs3s3LZ39a1MREPD196LN18HIPKWO7Yk/wcrdm5FKTfptX982r8lTVTpjV8/M0W8RJnSNQGGnF6PRyIIZa7mSchO5p4zh43pRsnRx7DF36g/4FVDS++vPRNsLr9fffnYcRy6cYOWuTUglUtrU+5D279mOr6eqdMaumoEuU88bBYswsftw0TZNnjeT5CupeMrlTB75HWVKlrapo9Xp6DViIFO+GUf5gLJ5tim0XDgjOoyl6+yONp83Cm3KgFYRZGdnsS12Kz9Hbxb9vtFoZNqM6SSnpODpKWfiuAm2Nrl3Dxs3b0IqlVAxqCJjR4/JM7Fr9KXTrD5g8lctazWh7TviSTi3xvzBY9UzBjb70kGWyOkLSUu5hlwu59sJQykdYLHtQ/uj2bD6J/CAth2a07q9eJ4cV/mZqZE5HHIRjn172bh1MxJpDsdIRw4b/ebwTBw33lG/Wzab9BsYlKd+jUYjU+bOIDnNNGYmjRpHGas4uWv/Xjb8tAWpVErFCoGMGyYeJycvmMXlq6l4yj2ZMmyM6LjrOWowU4ePzXPcuUo3ADEp51gTswOpRELLsAa0DnfMewPw46k9PFGl07+xo30fuXCClX9sQirNscn37WwyI8cmDXre8M+xSS9Hm5yybDbJ19JMbRo0mjIlHOcQvcYNZcrX31K+lOMcwmg0Mn1dzvxB5smEXnbzh3PHWP7rRmTSnPlDI/H8PK6Mca+jG+V/SL8zps3KmRd5Mm7CGEpbzYsO7D/I2tXr8cCDdh3b0q59mzzb9F+L/8Kj8/v37+fu3bv4+PjQpEkTFi1aBMDAgQMpXFg8Z5s9/ife0ByKi8WQaWD92AV83bEnc39cbi7LzMpiztZlLB0+gx9GzWHbkV08ShfP23Hg6GEMBj2bVq4lov9gIhdEmct0eh0LVixh9aLlbFqxBpVKxZHYaAeOg6ej0RsMbJq+lKFf9CVy/WKb8sQrl+k+fjC37ud/b/2hc7HoMw2sH7+IIZ/0Yu6WZTZtmr15KctGzuSHMVFsO7yLR88c23To4GEMBgPrN6zh6yGDmTvH0p7s7GwWzF/EsuVLWLdhDevXrufp02eismRlZzHvj9Us6DWRZf2m8uvJfTzOeGpTR5epZ8KWKH45tifPNh08dBCD3sCG9RsYMmQIc+bOsXxfp2PR4kWsWrmK9evXo1KpOHr0qAOHTR8NGEzkwigbjgUrlrB68XI2rVyDSi3eRwAHjxwy9dMP6xg6YDCR8215Fi5fwg9LlrNx1VpTX8c48rhq3GVlZzF32woWDZrKiqEz2RG7h0fPbeuu3LOFZrUasioikkqlKrAtxlHPWdlZRO1YxaIBU1g+eAY7jv3Jo+e2/bTqz618VLMBK4fMolLJ8myP3SvO89sqFvWbwvJB37Pj+F5Hnn05PF/PNPEc2+vAsejIVua0H86CT0bxR8IRHqttcwDpswxM2bOCHRcOiuoFIPnUQ7IzjXSf/jaNuwSxf53lnI8gCOxadomWA6vSberblK9ehPSHjue1MrOzmLNtBYu/nsbKiFnsiNnj0Bcrd2+m2duN+GH4bCqVrsD2aEf9xh4+i0GfycK1E+k1+DOWRTlOzHduO8C1tFt5tidXN872d2Z2FnN+XsaSIdNZNSKS7dEibdq5iWbvNGL1yLlUDghk29HdDrIciDHZ05bFqxnWZxCzlsyzKb+YnETXIX24eTf/ffk9PxrA1K6z8ZR72Xwuk8oY/elEekZ15svIDnR6vwtFC4gn8Tt4+BB6vZ6Na9czZPAQZkfNNZfpdDoWLVnMD8tXsmHNejJUKo5EO/oHMOl3/s41zO85gaV9pvDbqTz81Y/z+OWE4/gHOHroGAZ9JivXz2PAkB4snLvCXJadnc2S+atZsHwGK9fPY9O6X3j2VDy/lSv8zMEjh9DrDWxatY6hA+3ikjXHyrw5IEe/BgMb16xnyOCvHfW7dAk/LF/BhtXr8tXvgejD6PUGNi9bQ0S/wUQuto2TC1cuZc2C5WxaupoMlYrDxxzl2R97BL3BwNYFPzCs5wBmLZ9vU34x+RJfDuvLrXv5jztX6SYrO4sF+zcS1Xk0i78cx29xh3isemZTR59pYNJvS9h+5i9RjsysLOb8uIwlEdNZNTKS7UfzsclR+djkiaPoDQY2R64goms/IlcvtNVN6iW6fTuAW/fzzht26GwseoOB9RMWMeTTXszdbDd/2LSUZaNm8sPYKLYdEp8/gOtinCt04yr9Hj5oGntrN/zA4CEDiJpjGXvZ2dksnL+YJcsXsWbDKjas3ZjnvMgNE54/f87t27cd/j1/bntOMykpia5du/LgwQO8vLyIiIigXLlyqNUvfx7uP76gWbhwYZ7/f/bsGd9++y3Tp09nyZIljBkzhqdPbQPL2rVr2b59O7dvv/5BtrjUROqGvA1AaIWqJF23THqu3btJ6WIlKKD0Qy6TEx4UQlxKgjjPhfPUe7cuAGEh1Ui8nGQu85R7snHFGhTepiRC2dlZeHp6OnCcu5RA/fB3TRwVg0m6kmxTbsjMZP7IqZQrGeDwXRtZUhKoVy2nTYFVSbxm4bl29wal3yxp06ZzIm2KiztP3bqmxF+hodVISrQc8pdKpWzf8TN+fr6kP0tHEMDHRzxB0rW/b1OqyFsU8PFFLpMTVrYK568l2dQxZGbycc2GfNWkoyiHSZ446tarmyNPKImJlkO8np6erF+3HoUiR79Z2aL6jbtwnnq1rfroUpINh00fZYn3EcC5C+epn8tTLZSky7Y8G1ZaeLKys/ESk8VF4+7a/VuUfqMEBXxMdcMqBHM+zfaA8/kridSpWhOAulVrcSr5vChPqaKWfqpevirnr9jxXE2iTpVcnpqcShHheWDHU64q56+K8FTO4alSi1MpF2zKbzy5R0n/Yvh5K5FLZVQrEUT8HdtLBwxZmXxUtS5d32kpqheAW5efUb56EQBKVizIvauWg8lP7mrw8ZVzatdNNow/g06VSZGS9r/pwfV7tvqtHhhMnL1eriRSN0e/9YJrcfJynAPPxfPJvF03FICq1QJJSbJN9pYUn8qlhDRathf/ZTcXrujva/dumjiUVm1Ku2jLkZZI3eBa5jaduuTYpnMJF6j/To4dVK1GYortRSAGQyYLpszK980MwK2H1xm8tJfD5+WLB3Hz7+s816STmZ3J2dRT1Ax6V5Qj7nwc9erWM8lSLZSkJFv/sGHNOiv/kCVqk5Drr4pTQGHlr67btSsrk+bhDeneqIMox4W4RGrXM+kuJLQKlxItF29IpVK27FiFr5+S9PQMBEFAkYfvdIWfOXfhPPXr5Po8EY4Vdhxe4nqJOx9HvTpWstj5zg2r11rFt2y8vLxEec7Fn6f+u6a4EhZcjcTLFt16yj3ZuHQ1Cm9vC4+nI8+5xAvUf9uU/LZ61WpcTLFNGGvINLBw4izKlS4rKoOZx0W6uf7oLqUKvUkBhclfhZauyIVbtrFbn5VJs2r16VpP/Bf7a/dtfX71oGDiUkVsMiTHJkPysMlL8dSvYdJNWOUQEtPsdZPJ/G+/F30zk4u4lATqhb7k/KFiCOeS85gTuSzGOa8bV+n3fNwF6tY16bdaaDWSEi36lUql/LLjR6t5kZDnvOi/GsI/92/dunU0adLE4d+6detsRJJKTTsnTDr14cSJExQsWJDSpW3fzOaHf2TL2YoVpl+vduzYga+vL1qt6daa+Ph4cwCSSqU8efIEmUxGVFQUarWa1q1bc+rUKerVq8dPP/2ESqVi/Pjxr/x8tVaNr8IykZFKJGRlZyOTSlFrNTZlPt4KMrTiK0KVRoWfr6/5b4lUQlZWFjKZDIlEQtHCponVpp+3otFqqftObXFZfCzPk0gkZGVnIZOauiK8crWXbJPGrk1SS5t0tmVKhQKVxvEGMLVaja+fpT1Sq/YAyGQyDuw/yIzvZ1L/vfrmzx14dBp8vS3bfHy8FKi0tjfnFPDxpXbFcHaeOZB3m9Rq/HwtG2ekUqmNfosUMel385bNaLQa6tSp48ChUjvfR2bdWPNIbGUpmiPLpp+2mmR5N4++dsG4M/WnRb9KLwUqndqxjrfSzKUS4bIfFz7eefGYnuXj5ePQj/Z18uTRa614RMoNWpRelkDg4+mNWm97m5Wft5J3yoSwJzHGQYZc6LVZePlYxqVEAsZsIxKpBE1GJrdT0vmwZyUKv+XDT9+fp3j5ApQLtX19rdKpzbozy6sV0YvCSr86R/1qVFqUvha9SCQSsrOykcqkPH74lHXLtzNp9lCO/HUyz/ZYnuVcfzv4AJE6Kp3aqk0+omNGpVHjq8zbX9WoFpZvW3Kx79xuShYp5fC5r8KPDK1lEarWqfFT2G9OzJFFlb9Nmv3D1i1otFrq1Hb0D2Aam0p7f2Wn3wIKX96tWJ2dZ8XfDqrVGnx9rWxbKiErKxuZzBSUZTIphw/EMPv7xdR97x3z5448LvAzajW+ypfk0Giok4fPU71AFlv9isuSK4+ND5bk4YN/yfHBbzsuYFVqNX5WbZLaj7uQlxt3rtKNo79SoNLZxTiFknfLh7LrwhFxDu1L2KT2xTap1qjxs7FJqa1uqoaKPt9BFp885g92ZUqFApVW/AZRl8U4F+jGVfpV2c2LJCLzooP7DzHj+0jqv1cvz3mRGyZ069aNdu3aOXxeoICtn69QoQLr1q2jVKlSXL58mbVr11K3bl3u3LlDyZIlHb4vhn+kJ/r06QPAwYMHUSgUXLt2jTfeeIPy5cvz6NEj7ty5Q9++fYmOjubkyZP4+/uTmZmJTqejSpUqKBQKPvnkE3799dfXer5SoUSjs0yWjIKALGc1qFT4oLZyTBqdFj8fXwcOAF8fX9QaiwEIRsFmMBuNRuYsns+NWzeJmj4LDw8PUVnUVpNEkyyv3g0mua3bZLS0ydu2TWqt1iY4mDmUSjRqK1ns2gPQ5IPGNGrckPHjJrLzj120advaXLZs7yYuXE8i7d4NggMqmj/X6LU2juWl26RU2rxeNBqNDvqNmhfFjRs3mDN7jqh+fZW+NhyifbQop4++F+8jsyya/GWZu3A+N27dIGpGZJ597cy4i4qK4tT+WNLuXiOkbCXz52q9Fl+FbV2ltw8avRZvTy8Tl5X+l+7awPmriaTdvU5wGQuPfT0HHr3Glmf3Bs5fTSLt3nXb/tZp8fO2k8dLYcVjec7K2O0k3E3lysPbVH2rnIXDoMPX69Xvq/dSyDDoss1/C0ZTAAJQ+MkpVFzBG6VNspWvXoT7V5+bFzRRUVGcPhBL6p1rhJStbJFF/wK96LT4KRztycdXgUZt6W9BMCLNmcge3X+K588yGDMkkqeP0tHpDASULcFHrd8311/yxzrOX0lyqr8X/7qW81cSSb19lZByljapRWT29TaNTxOH7STGXMdHiVpjGaeC8fX8VV5QaTNQeltPQpRkaMS3Z/n6KtFY+wdBxCbnz+PGzRvMnTXbwSaX7dvMheuXuHL/BlVLB5k/1+i1+Hm/mr9SKn1QO/hO20VLwyb1eb9RXaaMn82eP/bTsu1H9jSu8TMvw7FoPjdu5s0B4KtUotFYxyYRngXzuHFDXL+28liNGUHEBy9dwPVbN5g3VdwH+yrt46Tx9eKkk7pZcfgn4m+lkPb3TYJLVDB/rjFo8fN+OX8VFRXF6YPHTDZZ3s4m7Xy+r8LOJkXiqNLHVjfCa+jGYf5gNNrGJq3d/CGPOZGzMW7xjrWcT0t0Sjeu1q+vUmlj24LdmAFo/EEjGjZuwMRxk9n1x25at20lqh83TAsX+8WLGJo1sz0nunHjxld+1j96hiY1NZXs7GzzG5pcZGRksHTpUvbt20dISAgPHjwgKysLrVbLw4cPycjIyNN5vgyqBwYTk2D6VTT+ShKBJS0TqXJvBXDzwR3SVc/JzMrkXEoCYRWqivKEh4YRfdyUR+PCxQSCKgTalE+aOQ2DwcCCGXPMr7EdOCqHEH3uhIkjJZGggPKv16agEGLic9qUlkRQKas2lShj26bkeEJF2lQ9PIyYGFN74uMTCAyytEelUtGzRx8MBgMSiQSFQoGH3WHJfs2+YGm/aewZv5Zbj+6RrskgMyuTuGuJVLOaOL8swquHExMTkyNPPEFBQTblU6ZMQa/XMy9qnvnNngPHy/bRzLz7yMRTnehjOTwJ8QQF2vJMnjENvUHP/Flz8+RxdtxFRESwYuhM9n2/mVsP75GuztFv2kVCrSarAGHlqxKbaMqHcizpDNUDQ8xl/Vt8yfLBM/hz6kZuP7xr4blykWpl7XjKVSE26UwOz1mqVwi28DT/kuWDvufPyRu4/chKnquJIjxVib2Uw3PpDNXLm3h612vPgk9G8VvfKG4/+5vnOhWZ2VlcuJNiM2F4WZSuXJAr50z5Ge6kpPNGgCWAFSqmwKDL5sk9U3C6dekZRUtbyiMiIlgRMYt9M7dwy0ov51IvElq+is1zqpevSsxFk35jE88QHhiMPYLDKnIq1rS1LikhjXKBllfl7Tp/xNJNU5m74js+696Kxs3q2CxmAAa06uZ0fw9s252VwyP5a/aPOW3KGV+pCQ5tCqtQlZiLp8xtqmE1ZnIRHhJG9MkcO0hKIKj8q/dRfrh6P5UyxcpR0McfuVTO2xVrE3f1rGjd6mHViY41+QeTTdr6h8nTpmAw6Jk/J0rUP/T78HOW9pnC7rGruf34vpW/SiIk4NX8VWj1qhyPMen/YvwlKgSVNZepVWr69xxh5Tu9HXxnLlzhZ2w4LsY7+LyX4QAx/drxTJ+KQW8w6Tc/31ktjKO5PjgxgaDytjwTI6ejN+hZOH2OeeuZPWoEh3L05DEAziclULFcoGi9F8FZ3fRp2IlFX37HzqFLuP30Ac+1Of7q5mVCSgY51BdDREQEK0dG8tecH7n1t5VNpuRhkwk5NnnxDDWCRGyySjWOnjluatPliwSVeXWbrF4xhJjzVvOH0i+YPwSKz4mcjXED23V3Wjeu1m9YeCixMaaxlyAyL+rdo5/Ztr1F5kVu/P+DhyD8F1534CLkJn/KvYkj9dY1BAQm9RjB5RtpaHRaOjRsYb6JQxAE2tT/iE+bWPbAWifWNN9ylpYKgsCUsRO4lHIZjUZLcJUqfNrjS2qGhUPO4qtLp8/4oEFjm8Saubecpdy4giDAlIGjuXQ1BY1OyydNLW8/vprwNeP6DLe55cw6sab5lrNbV0EQmNTrGy7dSEWj09KxUUvzLWeC0Uib95vx2QdtzTy5iTVzbzlLTU1DEAQmTZ7A5UuX0Wg0dOjYnm2/bOfXHb8hk8kIqhjEqNEjzfsc7RNr5t5yZhSMtHr7Az6p25x0TQbTf1nMzK6jzfV2njnAjb/vmG85s06smXvLWWqK6VaqyZMmc+nSJTQaDcHBwXT+vDM1atTAA5N+P//ic5o0bmKTWNNyy1kqkNNHyZfRaHP66CuRPmpoOtNgnVgz9/ahlLRUBEFgyriJJh6NhuAqVfmsexdqVA83L7S7fNqZJjk8uYk1nR13YEmsmXvrlVEQaF27KZ0atCJdncHUzfOJ7P0dj58/ZeKGuaj1GvyVBZnW/RsUXt4OiTVzbzkTBCOtajel03stTTxbFxDZc6yJZ1MUGr0Wf2UBpnYdicLL2yGxZu4tZ4Ig0OrdpnSq38LE8+NCInuM4XHGUyZunodGp8XftwBTu4zgzXahNok1c285MwoCzYPr0756E57rVMz8ay3TWg0y19uTGMONJ/fMt5xZJ9a0vuUMoOXAqty/moFBl0WNpqW4nvCEg5vSQIBSlQryYQ/TxNU+sWbuLWdGQaBN3Q/N+p2ycR6z+47j8fOnTFg/x9yeaV+NQuHlbZNYM/eWs6uptxAEgZET+pB6+Tparc7m3Myfvx/l5vW7Nrec2SfWfJ3+LtYy2CaxZu4tZ0bBSJu6H/Fpo9akq58zef085vQfz+PnTxm/JtLU174FmN7zWxRe3jaJNXNvOUu5moogwLRR40lKuYxGq6FTq/bmZ3Ub2pcJw761OUtjn1izZJFSzOmzlM++b0XLd9rh4+XDT9GbzLecSTwkbIvZyubDa83fsU6smXsLV0pqisl3TphE0uVLaLUaqlYJpvOXn1MjvEauafPFZ1/QpLFJ7/aJNXNvOTMKAq1qNaFjnY9N/mr7EmZ2GWWut/PsQW48vMPAZl/aJNa0vuUMYOykYSRfSkOr0dG2Y3N+/WU3f/y6F5lMRmBQOYaNHmD2ndaJNZ31M4anavNNXmaO73I4tBqCK1fls69yOBDhsEqsadZvLs+ESSRdvoxWo6Fq1ap0/vILaoRbeL7o/DlNGuXo1yqxZu4tZylXTHFl6rcTzGMmpFJVOvX+kpqh4eZ+6vJJZz54v5FNYs3cW86Sr5k4po8YR1JasmnctbBsX+k6vD8Th4yyGXfWiTWd1Y11Ys3cW84EwUiLsAZ0qPUhz7Uqvt+1ku87Rpjr7bpwhJuP79G/8WcOiTVzb+EyCkaTz8+1yXXzmDMgxyZXR5r9zPTeOTZplVgz95azlOtXTPodMpakK8lotFo6NbPEkO5jBjF+wEibszS5iTUtt5xdBQQm9f6GS9dz5g+NW5pvOROEnPlD07ZmDuvEms7GOOuEmK+jm6JNK7tMv7mJNXNvOcudF02YPI7Ll5LRajS079iO7b/s4NcdfyCTmW5b/Wb0cLNt/19JrOlsEvJXgbyw+Nu9/wT+JxY0zsB6QfO6sF7QOAPrBY0zyF3QOAP7Bc3rwnpB87qwXtA4A+sFjTPIXdA4A/sFzevCfkHzurBf0LwWR/OKNgua14X1guZ1Yb+geV1YL2icgf2C5nXg17SCzYLmdWG9oHEG9gua14H1gsYZ2C9oXgfWCxpnYL2gcQa5CxqnOKwWNM7AekHzurBe0DgD6wWNM7Bf0LwO7Bc0rwvrBY0zyF3QOAPrBY0zsF/QvA6U75cFXKPf3AWNM3AvaBzxTy5o3KeZ3HDDDTfccMMNN9xw438B/9LXGO7Nf2644YYbbrjhhhtuuOHG/1m4FzRuuOGGG2644YYbbrjhxv9Z/KvP0LjhhhtuuOGGG2644YYbJmQ++gfP0BR1n6FxCfRx95zm8Ap/yyUHhwG0OucOXyq8fci+LZ6j4VUgLVUQ441nTnFIyvi77IKCp7+IZw9+WRTqaEpG6uzh9wLNgpzWC5h08/cP+SdPfBGK9TQlm3P2kLeyYVkyHzp3WBdA/oafSy61yL7jgvFbsiAnHqx1iqP2m90BXGIHR+4ucooDoEGJQdye+ZdTHKVGNUV/4b7TsniFFeeRNs1pnqKKQKcP9Hv5Kpy+WABMlwu44gA9wMxo53JOjHrvD6cPvoPp8LsrLjrITnvitCzSwMJkJv7tFIc8uBiA02PYK6w42Vdd0KbyhZ2eQ3iFvwW45vIRV9l25qWHTnHIq7yB5vgtp2XxqVPaJX0NkPGnc/7K76NAl8VJN/7/4V+9oHHDDTfccMMNN9xwww03cvAv3Zj1P7GgMRqNTFsdRfKNK3jK5EzsO5KA4qXM5YfPHmP5tnVIpVLaNmxOxyYt8+TKzVchlUppXedD2tf/2Kb8qSqdsatnos808EbBIkzoGoH1CzdT7pfppKSkIPf0ZMKE8QQEBJjL9+/fz+rVa/DAgw4d29O+fXvEYDQamTx/JslXUvH09GTy8LGUKVnapo5Wp6PXN4OYMuI7m3v6bTgWzuLy1VQ85Z5MiRgjytFz9GCmDhsrymFu0/r5pNy8glzuyYQewwl4s6S5PDcnjkwioc37H9OhYQtRHoDoS2dYfehnpBIpLWs2ou3bTUXrbY3dyWPVMwZ+1MWhLDfXikwqodW7TWlX1zYD7TNVOt+tn40+U0/RgkWY8PkQvD1tE7y5SjcAsWlxrD32K1KJhObV3qd1WCPRej+d2csTdTr9GnzqUJabU0QqkdKm3oe0f6+5TflTVTpjV81Al6nnjYJFmNh9OAqRNk2ZY8rRI5fLmTx6HAGlLG3a/ddeNvy0BYlUSsUKgYwbPhqJXdKw3DxKydev4CmXM6nfNwS8Vcqmjlavo8+UYUzqP8omj5I9j3n8yj2ZPCKP8TtyEFNGio9fE4/A+rl/cvPKA+RyGT2++Zg3SxU2l+/98RRHdl2ggL8pq3f3Ec14K6CIoywusQOBzfMOc/vKI2RyKV1HNqZYSX9z+V8/xRGzOwk/f1MCvy7DGlE8oJAol3eFohSoVx7BKKBJuIv6wh2bcqmfN4WaV8VD4gF48PTPJIc2TVsVRfKNNDzlnkzsZ+fzzsSafJ5ESttGzen4gfhbB6PRyOzpS0hLuYanXM7oCV9TKsDxjcnMyQsoUNCP/kO+EuWYNmM6ySkpeHrKmThuAgGlLT5v9949bNy8CalUQsWgiowdPcZh3FkjtFw4IzqMpevsjjaf5+azyc7OYlvsVn6O3pxnm6ZGfk9yagqeck8mjRlnK8++vWzcuhmJVELFwCC+G/mtgzyCUeDYpr95ckuPVOZB/W5vUuBNTwA06VkcXm75Zf/JLT21OhSlckN/UVkmL7Aae8PyGHujBjN1eP5+Jje3jlQipWWtJrR9Jw/fGfOHyXc2+9JRliWRJF9Lw1MuZ/LX31KmhIhNfvc1U4aMoXxpcVmMRiNTVswl5Xqayc8MGCXqI3pPjGDywNE2eVKsOVw1ficvjiT5ak6bhubRprFfM2Vo/m1yxRzideYPYn7cWd0YjUamLJ9j6iOZnMmDRov30YQIJg8S76NcnunrF5Byy6SX8Q6x/zgrft9gkuW9ZrTPI/a7qr+PJpxk1Z9bkEqktK4tHvvHrovM0W9hJnwxVDT2Oxsn3fj/g/+JXjh4Jga9wcDGKUsY8nkfZm9Yai7LzMoicv0ilo+ZzZoJ89l24A8ePXssypOZncWcbStY/PU0VkbMYkfMHh6l277aXrl7M83ebsQPw2dTqXQFtkfvsSk/dPAQeoOB9RvWM2TI18ydM9dclp2dzfz5C1i+fBnrN6xj3dr1PH36VFSWA7FHMBgMbFm0mmG9BjJr2Xyb8ovJSXSN6MPNu3lvC9t/7Ah6g4Gt839gWM8BzFphx5FyiS+H9+XWvfy3lh06F4s+08D68YsY8kkv5m5ZZtFZVhazNy9l2ciZ/DAmim2Hd/Homfh2gKzsLObvXsv8r8axtNckfju9n8cZtu3XZeqZ8NN8fjm5N0+OqB2rWDRgCssHz2DHsT959NyWY9WfW/moZgNWDplFpZLl2R7ryOUq3WRlZ7Hw4CbmdvqGhZ3H8seFwzxWPbOpo880MHnnMnacOyDKkZmdxZyfl7FkyHRWjYhke7TIuNu5iWbvNGL1yLlUDghk29HdDjwHog9jMBjYtHwNEf0GE7koylym0+tYsHIpqxcuZ9Oy1ahUKo4ci3bgOHg6Gr3BwKbpSxn6RV8i1y+2KU+8cpnu4wdz6/7dfPVyIMZq/PYeyKylIuN3aP7jF+BcdAqZhizGL+3GJ30bsmXxQZvy6yn36TO2Jd8u+IJvF3zhsJgB1/X1+ZgrZBqyGL34E9r3qcvPS2Jsym+mPqTHt00ZMa89I+a1z3Mxg8QD/yaVePjjOR5uPoMyrCQSpadNlQLvVUB17hYPt5zl+YlrFHzfNgP6wdMx6DMNbJy21OTz1i8xl2VmZRG5bjHLx85hzaQF+fq8o4eOY9AbWLF+Dv2GdGfh3FUOdX79ZQ9X0m7kqZeDhw+h1+vZuHY9QwYPYXaUxefpdDoWLVnMD8tXsmHNejJUKo5EH82Tq+dHA5jadTaeci+bz2VSGaM/nUjPqM58GdmBTu93oWiBN8TlOXIIvd7AplXrGDpwMJELrOxAp2Ph8iX8sGQ5G1euNdlBjKMd3IhTkZ0p0GpMALU6FOXUz5ZtPD4FZTT/pjTNvylNrQ5FKVLGi4rvFxSVZX9szthbkDP2ltvbwSW+HPZyfmb+zjXM7zmBpX2m8NupfeK+88d5/HJC3HceOH7UZJNzVjKs+wBmrVpoK0vqJbqO6s/Ne3dEv2/mORWNIVPPphnLiOjSj8i1tj7iYtplun03iFsP8vYRrhq/5jZFrWTYVwOYtdKuTSmX6PrNi9vkijmEK+YPrtLNgZPRplgwczkRXfsRucZ22+zFtMt0GzOQW/fz18uhc7EYMg2sH7eQrz/pxdyttrF/zpalLB0xkx++ncu2I3nHfle0KSs7i7k7VrJowBRWfD2DHcf28ui5nX73bqFZrQasGjqLSqXKsy3WUb+uiJP/7fAQ/rl//yT+JxY0cZcTqFf9HQDCgoJJuppsLrt25wali5ekgK8fcpmc8ErVOHdZ/EzH9Xu3KP1GCQr4mOpWDwwm7ortHubzVxKpW7UmAPWCa3HycpytLHFx1KtbF4DQ0FASEy2/rEqlUnbs2I6fnx/pz9IRBAEfHx9RWc4lnKf+23VMbapajcRk2ySXhsxMFkyKzPcXvXMXL1C/Vm0AqlepxsWUy3YcBhZOmEW5PH61MrcpJYF61d42tSmwKonXrPR79wal3yxJAWWOfoNCOJcirt9rD29TqkhxCih8kcvkhJWpzPnrdu3KyqR5eAO6N+wgznH/FqWKvkUBHxNH9fJVOW/fR1eTqFPF1Ed1q9bkVMp5Bx5X6eb647uULPQmft5K5FIZ1UpWJP62bYJKQ3YmzYLr8WWd1uJtunfTNO6UVuMu7aJtm9ISqRtsSuJWL7gWpy7FOfDExZ+n3rs5YyakGomXLbr1lHuycdlqFN6mX6uys7Px9PRy4Dh3KYH64abzPWEVg0m6kmxTbsjMZP7IqZQrGeDwXRueiy8xfifnP34BUhJuUe1d0xm1wOCSXEu23fN+Pfk+OzceZ+rADfyx8Vgesrimr9MS7hH8jumXzPJVi3MjxfZMwY2Uv9mz+QwzB//Cnk15J+yTF1GS9VSDoM8Co4D+9jO8Svnb1Ek/lILuiinRnoeHB0K20aY87nK8xefZ9ZOjzwvl3KV4UVni45KoXc9kKyGhlbmcaLtX/eKFSyTGX6ZNh2ZiXzfJcj6OenXrmWSpFkpSksUePT092bBmHQqF6a1VdlYWXp6eojwAtx5eZ/DSXg6fly8exM2/r/Nck05mdiZnU09RM+hdUY5zF85Tv47JB4eFhJJ02eKDPT092bBiDQpvkzxZ2dl4eTnK8yBNS6kQk28uVkHBo+uOyYEFQeD45r+p2+VNJBIPcVkSL1D/7ZyxVzWPsTfxxWPv2t92vrNslTx8Z0O6NxL3neeSLlC/pkmWsMohJKbZ26SBBd/NoHxp8V/rcxF3KZ56uT6iUjCJVxzbNH/UtHx9hKvG77lEqzZVCSExVaRN42bk+QbCIo/zcwhXzB9cpZu4S/HUq5HbRyEkpon00ejpL/TjcakXqWsV+5OuWWLbtXs3KV2shE3sj8sj9ruiTdfu36J00bfM+g17Yeyvxank846yuCBOuvH/By9c0EyfPp0lS5YwZswYh7cFJ0+e5OTJ1zv8PGnSJI4fPw7AwoULRets2rSJdevW8f3336PVvv7hUpVWja/CsvFLIpGQlZ1lLvOzKlMqfMjQiN8AodKp8fVWmv/28VKg0toeNFXrNPgqTHV8vBWodHblajW+fpbnSaVSsrKyzH/LZDIO7D9Ap06fUrNmDWQy8V2BKo0aX6VVm6SWNgHUCAnjrWJvin7XmsPPikMqseMIfjEHgFprabOJR0pWdrapTGdbplQoUOWhX7VOi9LbsoDz8VKgsrtIoYDCl3eDqucti93zRPtAp8E35zk+Xj6otI6XNbhKNxqDFl9PhUUeT29Uetvn+XkreadctZduk9LbcdypdGqrcefjUA6gUtu2SSKRmMeeRCKhaGHT24tNv2xFo9VS923HCaFaq8bXR2nLYaWX8MrVKF70xXpxxfgF0KoNKJSWgCKRSMjOskzu321She7DmzF63uekxt/m/DHHiyNc1dc6jQGF1ZsUD4kH2VYLjbcbB/HFsEYMn9uO1IS7xB+/Jsrj4SnDqLc8XzBk4+Elt6lj1GaCUUBW2IeCjYN4Hmt76Fil1eTZTyqtGj8fW5vM0IgfmFerNSh9rWxbKiEry2Tbjx4+4Ydlmxn+bX9xheTKolLj62s97qQ2465IEdO427x1Cxqtljq16+TJte/cbrKyMx0+91X4kaG1HOpV69T4KQrk0Sa7sWcnT9EceTb9tBWNRkOdd2o7cGRqjcgVUvPfHhIPjNm2P0feuqCmUAkvChbPe4Fmb5MOY+8l7UCtF/Odtn1aQOHLuxWr5y2LvU1KpLayVA3jrTdezrb9fMTjLUCNKqG89QIf4arx+8I2Bb9km1wwh3DF/MH0POd1Y+qjvP14jSqhL6UXtZ0spvGbE/vtYoWPtw8ZInHJVW1yiJNeCofYbor9OfoVmV+Aa+Lkfz2Ef/DfP4iXOkMjlUp58uQJK1aswNfXlyZNmrBz504yMjJo3rw5PXr0YNCgQRw8eBCj0Ui3bt3YsGEDRqORdu3asW7dOgRBIDQ0FEEQaNq0KRUrVuTs2bPUqVOHkydP4uHhQZ06dYiPj6datWpcu3YNX19f2rRpw/3791Gr1YwaNYpOnTpRv379V2qkr0KJxmrgGgUjMqnMXKa2KlNrNTbOGGDJ7+s4fyWR1DvXCClb2fy5Rq/Fz8qAAJTePmj0Wrw9vdDotDaODkCpVKJWW8liNDosWpp80IRGjRsxftx4/vhjJ23btnFsk48StZVzEIyCuU0vCxOHuF5eBUqFD2qdZcFp4jEFe6W3j51+tTbOAmDZX1u4cOMSV+7fpGopy9YZMf3mhaioKE7tjyHt7nWCy1SycOhe0Ed6jegznNXNyuhfiL+dwpWHt6j6VgWLPAadeTH1Mm06ffAYqbevElLOMu7UIuPK11uJRpc77myDg7mOUolaY2mTIAg2Y89oNDJnyQJu3LpB1LRZeHg4/qqsVNjr5dXHHbhm/AIolJ7oNAYLjyAglUnM///ok7fx8TX9mhZWpwI3Uh9QvW6QiCzO24G3jyd6jWWyLRgFpFKLLE06VMfH17T4Cq1dlpupDwmtU85cv8B7FfAq5W+6Ue6e5TY4D08pgt5xEu8VUAj/DyvzZGciWU9sA7OvwgdNHv3k6PMcbTIXSqUPGrWVbRuNyGQm2z70Vwzpz9IZMWgijx8/Ra/TE1C2FC3a2J7d8PVVolFb+tooGB3G3dz587hx8wZzZ80WHXcvgkqbgdLbetGvJEMjfqOeUqlEbTUhsvfBRqORuYvmc+PmDaJmRIrKI1dIyNRZFquCABKpbb20E88JbpLHtsIc+CqdG3vL9m3mwvVLXLl/g6qlLeNao9fi5/1yvtMsi4NNvp4d2NvTa8UmF41fl7XJiTlEVFQUpw/EumT+YHqe87px6KPX9ONKhY+dXgRL7FcobeYFGp3j3MoVbTLF/ljS7l4jxCr2q/VamwUO2Md+8fmFK+KkG/9/8MI3NH5+fvTt25fWrVvzyy+/4O/vz9GjR3n33Xdp1cp0MCssLIz79+/Tvn176tSpw++//27+v06no3r16hQvXpxPP/2UJ0+esGvXLp4+fUpKSgqPHz+mVq1a9OnTh3PnzpGZmUlcXBy1apm2z1y/fp2ffvqJy5cvU6FChVdezABUrxRCdNwJAC6kJhJUury5rFzJMty8f5t01XMyszI5ezmesIrBNt8f0LobKyJmsW/mFm49vEu6OoPMrEzOpV4ktHwV22eVr0rMxdMAxCaeITzQlqt6eHViYkx76+Pj4wkKskzgVSoVPXv0xGAwIJFIUCgUeW5VCA8JI/qkaQvNhaQEgspVEK2XH2oEh3L0lInj/KUEKpYNfME3xFE9KISYeNObuvi0JIJKWSZp5UqU4eaDO2b9nkuOJ7RCVZvv92vamaW9JrP721XcfnKfdI1Jv3HXLxFSuuJLyRAREcHywTP4c+pGblv1UdyVi1SzCiIAYeWqEJtk2vJzLOks1SsEO/A5q5ve73VkYecx/D5wIXeePuC5VkVmdhYXbicTUuLluCIiIlg5PJK/Zv+YM+5ydJia4DDuwipUJebiKcA07moEhjjwhVcLI/pELAAXLiYQVN5WjkmR0zEY9Cz4fo75lboDR+UQos/l2FJKIkEB5UXrvQgO47f8q49fgKCQUsSfuAJAWuIdSpW3nJvQqvWM7bYKncaAIAgknbtB2YrFHThcZQcVQt4i4eR1AK4m3adkect5Ha3awKQem9FpTbJcjrtNmYrFbL7/PPoKD7ec5e6iI0j9ffDwloHEA6/ShdDbXXftFVCIgk0q8einODLvP3eQpXqlakTHmWzS1E9WNlmyDDfvWfm8SxccfF4uqlWvyvEYkz+7GH+ZCkFlzWWffN6a1VsWsOiHGXT5qiNNP27gsJgBqB5WnehYk8+7kBBPUKDtgnLytCkYDHrmz4kybz17VVy9n0qZYuUo6OOPXCrn7Yq1ibt6VrRueGh1oo/l2kE8QRVs+3vyjGnoDXrmz5pr3npmjzcDFdxOME2U/76ipVBJx7cwj2/oKRYobke5qBEcytEcOziflEDFcq829vp9+DlL+0xh99jV3H5s5TuvJRESUOnFBFYIrxpK9GnTrokLly8SVPb1bDK8cjWiz+XwJCcSVObVfYSrxq9Nmy5dfK04aZLn9ecQERERLps/mGRxXjfhlasRfTanPckXX6uPAKoHBhNzwRR34tOSCLSO/W8F2MX+BMICq4rzONGmiIgIVnw9g33TNnHr0T1L7E+7SGg5u9hfvgqxSSb9Hks6Q/XyIrpxQZz8r8f/6huajIwMli5dyt27d2natClqtZpatWpx5MgRnj9/TrNmzZBIJISHh7N5s+n2jk8++YStW7cilUpp2bKlww0Q9+7dY9SoUTx48IAdO3aQlJTE5s2bee+993j06BHx8fGUK1eOQ4cO8ddfptwM/v7+r32TRJO33+NEwhm+HDcQAYEp/UaxK2Y/Wp2Wjh+0YsSXA+k3fSRGQaBdw495s7D4YVK5VMawDr0ZtHAsRkGgTd0PKeZflHR1BlM2zmN233H0/LgzE9bP4dfYvfj7FmDaV6NsOBo3bsyJ4yfo2rUbCAKTJk9i9+49aDQaOnbswMfNm9Pjq57IZDKCKgbRooX4rSAf1G/IsbMn+XxwTwRBYNo349l5YC8arZZOLdu9lF4+qNeQY+dO0XloLwRBYPrwcew8+CcarYZOLV6OA6BxzfqcSDxL1ymDTW3q9Q27jx9Ao9PSsVFLRnTuR//ZoxGMRtq83yxP/cqkMoZ83J2ha6diFARa1WxEsYJFSNdkMH3HUmZ+8c0LZZFJZQxt14vBS8cjCEZa1W5q7qOpWxcQ2XMsPT78lImbovj1+J/4KwswtevI/5huZFIZgxp/zvCfIzEKAi2qvc8bfoV5rlUxc+8PTGs35IUccqmMYR37MnD+WIyCkTZ1P6JYoaKkq58zef085vQfT68WnzN+TSQ7Yvbg71uA6T2/deBp8n4jjp0+yRf9eoAgMGXMBHbt24tGqyG4clW27/yNmmHh9Pi6HwBdPunMBw1sb2Rr8s77HI8/Q5ex/REEmDJwNLui/0Kj0/JJU/EzQGIwj99BPRF4vfELUPP9SiSeuc6U/usREOg1uiXH/0pEpzXQqHU4Hfs0YMbQTcjkMqrWLENYHccJo6v6Ovy9Clw6e4sZg34GAbqNasLJ/cnotZm83yqEtr3qMCdiBzK5lCo1SlGtdllxIqNA+sFk3uhUAzw8UMffwajS4+Eto3Czqjz+NZ6CTSrhIZVQuIUpIGfavaFp8s57nIg/w5ffDUAQBKYMGM2umL9yfF5rRnQdSL9pIzAaBdo1ap6nTTZoXIfTJ+Lo23U4AjB20lD27T6MVqOlTcePRb9jjyaNGnPi5Am+/KqracxMmMSuPbvRajVUrRLMjt9+pUZ4DXr16w3AF599QZPGjV+Ku+U77fDx8uGn6E3M/GkSqyI2I/GQsC1mK38/E89x0aRhI46fPkGX3t1NuvluIrv+3GOxgz9+pUb1cHoO7AtAl08706ShrTxlwn25k6Rh5/c3EQR476viXDn5nEydkcoN/NFmZCH3lrzw19sP6jXk2NlTdB6SM/ZGvL6fGdKiO0NXTzb5zlpNLL5z+xJmdhn1Qo4P6jTgWNwpPh/eGwGYNnQsOw//abLJj9u+tCxN3n2fYxfO8MW3/U1+ZtC37Dqa4yM+fDkf4arx+0HdnDYN640gwLRhY9l5KKdNzV+hTS6YQ7hi/uAq3TSp/T7HLpzmi1H9AIEpg8ew68g+Ux995LgjJC+YYv85uk39GkEQmNRzJHuOH0Cj19KhYUuGf9aPAXNGIxgF2rzXjGKFiorr1wVtkkllRLTtxeCl4zAajbSubdHv1C3ziez1HT0//IyJG+ey45gp9k/r5jincEWcdOP/DzwE4V96ITXuxJp5wZ1YUxzuxJp5w51YUxzuxJp5w51YUxzuxJricCfWzBvuxJricCfWfD1k3XN8q/+fguwt8bOM/wn8T9xy5oYbbrjhhhtuuOGGG278O/E/kVjTDTfccMMNN9xwww03/tfxT+eH+afgfkPjhhtuuOGGG2644YYbbvyfxb/6DI0bbrjhhhtuuOGGG264YUL23X/uDI20xD93huZfveVME3vTaQ6fegGodM+c4vD19gdAffS6UzzK98uiOiiejO+V5GlcjuvjfneKo+yU1jzaeM5pWYp2qcGNCTud4igzqSUAd2YfcIqn5IgmTh8uBNMBw8dbzjvFUaRzdcA1Fx3oztxxigPAu1ZJl1ze4OyBVDAdSjVcdPKCghBT0jhnD7f61CmN8drTF1d8ASTlCrmkr101fl0R8KQlCrjk0Lqzh/nBdKDf2csFLq+8C4BO59xFB97eCu4viXGKA6D4gPpO8xQfUJ/nu1NeXPEFKNC8okv6GnA6rhTtUsNpXwUmf/XfdClA+h+XneIAKNiqsmsumnHyAggwXQLhbGzyrlUSAN3Zu87x1CzB3fmHneIAKDGkodMcbrw+3FvO3HDDDTfccMMNN9xww43/s/hXv6Fxww033HDDDTfccMMNN3LwLz1p8j+xoDEajUzfuICUW1fxlMkZ330YAW+WNJcfOX+cFb9vRCqV0rZ+M9o3aJ4nz4xps0hJScXT05NxE8ZQOqC0ufzA/oOsXb0eDzxo17Et7dqLJ6g6cuEEK//YhFQqpU29D2n/vu3znmakM3bVDHQGPW/4F2Fi9+EovBwz0h6NP8HK3ZuQSqS0rvsR7evbJrp7qkpn7OqZ6HN4JnQdhsLTkUdR6U38G1ZEMAqozt1EddZ2q560oIKi7arjITEliXv0+wUHjpiUs6w5uh2pRErL6g1oXaOJaNt/PLmbJ6p0+jfpLFquqFiMgg0rglFAFXdLRBZvirQJw0MiAQ94/Hu8A4d3+aL41S0HRgF1wl00CeKvo5U1SiNVevI8+opo+dGEk6z6c4tJv7Wb0q5uM5vyZ6p0xq6LRJ9p4I2ChZnwxVC8RfQbk3yW1Ud+MekmvBFtauahm+O7eKxKZ0DTzx1luXiSVXu3IpNKaPWuuCzfrZ+NPlNP0YJFmPD5EAdZjEYj09bMJ+XmFTzlcib0GkFAcYsdHD53jBU7NiCVSGnboBkdGrcUlRMg+tIZVh/62dSmmo1o+7ZjhniArbE7eax6xsCPujjIMmX5HFKupyGXyZk8aDQBb5WyqaPV6+g9IYLJg0ZTvlQZUX6j0cjUlXNJvm5q06T+34jy9Jk0jEkDRonyGI1Gpq9fQMqtKyb/0GO4rX+IO86K33P08l4z2jcUT3ZrNBqZvCiSy1dT8ZTLmRIxhjIlStvU0ep09BwzmKkRYylfuqwoD7xef9vvVHbF+DUajUyeN5PkK6Y2TR75HWVKOrap14iBTPlmHOUD8m5T9KXTrD7wk2nM1GpC23fyGDMxf5jGTLMvHWSZGvk9yakpeMo9mTRmHAGlA8zlu/ftZePWzUikEioGBvHdyG/zTMYcWi6cER3G0nV2R5vPG4U2ZUCrCLKzs9gWu5WfozeLft9oNDJt2nRSUlLw9JQzYcIEAgIssuzfv5/Vq1cDHnTs2IH27dvnqZfYq+dZd/IPpBIJzYPr0yqkgWi9n+P+4ok6nb71O4qWu4Ln6MVTrNq3BZlEahp3dT4S5dh85DceP3/K4FbdRcud7etcuCKuOOurIKe/V0eRfMPkIyb2HUlAcYufOXz2GMu3rTPNIRo2p2MTcd9pitmmBOSt63yYd8zONPBGwSJM6BohGrOjE0+x6q8fTTxvf0Db2h+KPm/L0d95nPGUQS26iZYfuXCClbtMc4g29T6k/Xt2cxFVzlwkU88bBU1zEaWdXqasmGvy43I5kweMEvfjEyOYPDB/P+5sbDJxzCPlRg5H75G2HGePsWLHehNHw4/zjW9e5Yrg924ZMApoEu+jSRTfeqisXgqJ0pOMWOe2FLrhGvxPbDk7FBeLIdPA+rEL+LpjT+b+uNxclpmVxZyty1g6fAY/jJrDtiO7eJQunpTr8MEj6A0G1m74gcFDBhA1Z765LDs7m4XzF7Nk+SLWbFjFhrUbefr0mQNHZlYWc35cxpKI6awaGcn2o3scnrdy5yaavdOI1aPmUjkgkG1HdzvyZGcx55flLB48nZXDItkRs9uRZ9cmmr3dkB9GzKFS6Qpsj3bkQeJB4Y9DeLDuBPdXx+JXqwxSXy+bKoWaVCbj5DXurz7Gs6OpFGpa1aY8KzuLBfs2EPXFtyzuNp7fzh3kscq27fpMA5N2LGL7mXySB0o8KNQsmL/Xn+T+mmP41gxAYieLf+NKZJy6zoO1x0k/mkahDyo7cBRsFMSjn+N4uPUsyrCSSHw8bevIJBRqXhXfcFvHa9+muTtWsmjAFFZ8PYMdx/by6LmdfvduoVmtBqwaOotKpcqzLXaPKM/8veuY9+VYlnSfyG9n9/M4w1E3E7ctZNvpfXnKErVjFYsGTGH54BnsOPYnj57bnttY9edWPqrZgJVDZlGpZHm2x+514Dl4NgZDpoENkxYx5NPezNm01FyWmZXF7I1LWDZ6FqvHRbHt0C4ePRO3g6zsLObvXsv8r8axtNckfju9n8cZtvLoMvVM+Gk+v5x0lAPgwMloDAYDm2YuJ6JrPyLX2CanvJh2mW5jBnLrfv57rA+eikZvMLDp+6UM7dKXyHWLbcoT0y7Tfdxgbj3Ie4/1oXM5/mHcQr7+pBdzty6z0cucLUtZOmImP3w71+Qf8tDL/mNH0Bv0bJ23imE9BjJrxQLbNqVc4suR/bh1L/82uaK/XTV+D8QcxmDQs2Xxaob1GcSsJfNs25ScRNchfbh5N/8ku1nZWczfuYb5PSewtM8Ufju1T3zM/DiPX06Ij5mDRw6h1xvYtGodQwcOJnJBlOW7Oh0Lly/hhyXL2bhyLSqViiMx0aI8PT8awNSus/GU2/oWmVTG6E8n0jOqM19GdqDT+10oWkA8A/3Bg4cwGPRs2LCeIUOGMGfOXHNZdnY28+fPZ/ny5WzYsJ61a9fx9Kn4Oaus7CwWH/2ROe2GsaDjKP5IOMpjtW3yWX2Wgal7V7LjwkFRDlfxZGVnEfXbKhb1m8LyQd+z4/heh3GnM+gZt3EOv8TsylcWZ/s6l8fZuOIKXwVw8EwMeoOBjVOWMOTzPszeYOs7I9cvYvmY2ayZMJ9tB/7g0bPHDhyZ2VnM2baCxV9PY2XELHbEiMT+3Ztp9nYjfhg+Oydmi8eUqN9/YGGfSSzvP40dJxz9gy5Tz/jNc/nlmEjMt5bn52UsGTKdVSMi2R6dz1xkpPhc5MCpaAyZejbNWEZEl35ErrX1vxfTLtPtu0H5+l9wTWw6eCaHY/JihnzWhzmblthxLGbZ6EhWj5/HtoM78/TjSDwo+H4gj3fE8+iX8/hUe8txDiGV4P9RFZRhzif9/f8C4R/89w/ilRY0CxcuJDs7m8jISDZt2sTatWttyrdv387t2y/OHn/p0iWGDx9u5hTD1atXWb58OUuWLGH37ryN8mUQl5pI3ZC3AQitUJWk65ZDkNfu3aR0sRIUUPohl8kJDwohLkX8QOH5uAvUrVsbgGqh1UhKtBzSk0ql/LLjR/z8fEl/lo4gCPj4KBw4rt23fV71oGDiUi/aPictkbohtQCoF1KLU5fiHHiu37tJ6TeseCqEEJdmx3MlkbpVc3iC3+bkZUce+Rt+ZD1RY9RlQraA7uYTvMoUtqnzZG8immTTIWwPiQdCVratLI/uUKrwmxRQ+CKXyggNqMSFm7YHGPVZBpqFvk/X+m0dZLDI4msji/7mE7wDbGV5+mcS2pS/rWQx2pTLCivJeqZF0GeBUcBw+xmepfxt6nhIJWgS75Nx4nqesly7f4vSRd+igI9Jv2Hlq3L+iu2h1/NXk6hTpSYAdavW4lTyeQee6w/vUKpwcZNuZDLCAipz4eYlB918HPY+3d5rl6cspYq+RQEfX1Nfv1CWmpxKcZQlLvkidcNy7CCoKonXki3PuHuD0m+WtNhBxRDOJTu+/QK49vA2pYrktklOWJnKnL9u2yZDVibNwxvQvWEHUY64S/HUq/EuAGGVQkhMsx0vhkwD80dPp1zJALGvm3HuUgL1w3N4KgaTdCXZptyQlcn8b6bmyxOXepG61XL0EliVpGuv5x/OJV6gfq06AFSvEsLFVMc2LRw/k3J5/EppfqYL+ttV4/dcwgXqv1MXgLCq1UhMsetnQyYLpszK980MwLW/7cZM2Sp5jJmGdG8kPmbOXThP/To5soSEknQ5yVzm6enJhhVrUHibfG5WdjZeXp6iPLceXmfw0l4On5cvHsTNv6/zXJNOZnYmZ1NPUTPoXVGOuLg46tatB0BoaCiJiRbdSqVSduzYgZ+fH8/MscBHlOfGk3uU9C+Gn7fS5DtLBBF/1/aQviErk4+q1OHLd8TfDLqK59oDu3FXrirnryY6cLSo1YivmnbKUxZX9DW4Jq64wlcBxF1OoF71dwAICwom6aqV77xzg9LFS1LAN8dHVKrGucuOPuL6vVummJ1jk9UDg4mzt8kridStarLJesG1RGP2tQe3bfoprFwVzl9LsqljyMykec1GfNXkkzzbdM1+DhEY7DiHSEukbnDuHMJxLhJ3KZ56uf63UjCJV0T8+KhpL/TjrohNcckJ1A19x8JxNcWRw6aPxOObrLCP7RzibjqeJQra1PGQSdBeuk/GKecvnnLDdXilBY3RaOS7776jU6dOPHnyhDNnzpCWlsaiRYuIiopCr9fz008/MXnyZP7++29mzJjB3LlzOXLkCDNnzmT69OnodDoOHz5Mw4YNSUsz3cizatUqli5dyurVq9FqtSxevJjdu3fTt29fBgwYQEBAANu3bycqKgq1+tVvvFFr1fgqLC9KpRIJWdnZOWUamzIfbwUZWvFnqNRqfP18zX9LpBKysrLMf8tkMg7uP8RnnboQXjMcmcxxR5/985TeClR2z1NZyevj7eNQDqDSOcptX09tVcfHy7EcQOIlMy0gciDos5B4y23qGDUGMArIiiop1CyYZ4dsJ41qvRallyVg+3gqUOk1NnUKKHx5t0Kow/MdZNFb9GnUZyHxttWhUZNpkqWIkkIfVeHZ4RQ7DqktR2Y2Ei9bDkGfhf5GHr/O5LbJTr9KLwUqrcaxjreVfnW25WDSja+3nW50IroJDHtpWXy8Fah0In2d8xwfLx8HWcE09vxs7EBqtgOVvR0ofFBpxO1ArdOitG6TSNsLKHx5N6h6nm1SadT4+VieJ5FIyMq29FuNKqG89cabeX7f0iY1vvnwhFeuRvGi+fOotRobDlv/YMvv4+2Tt3/QqPFT2vNYtSk47OXa5IL+dtX4VWnU+Crz6adqYbxVrPiL26QXGzO2bSqg8OXditXz5lCr8VVa+V+J1Ox/JRIJRYsUAWDTT1vRaDTUeae2KM++c7vJys50+NxX4UeGNsPyPJ0aP4X4laNqtRo/q1gglUodYsH+/Qfo1KkTNWvWFI0FAGqDDqWn5Ycvhac3ar3tLWp+3kreLhMi+n1X8liPKRAfdwV8fKlduUb+srigr808TsYVV/gqyI3J1mPPYgcqrRo/qzKlwocMjcqRQ6c225tZlvxitoj+AdR6235SiunXx5falcLzbZODjxCbi+jyn4uY/Li4XiDHj7/A/4JrYpNaq7GJKdZ+XKXR2Plx8fkQgMRThmCwtEEw5DGHuOn87Zb/v+Ah/HP//km80hmajIwMWrRowd69plezlSpVQqPREBYWxrvvvstvv/3GJ598wq+//sqZM2fw8vJCLpdz//59GjRowN27d3n8+DGXLl1CJpNx5coV5HI53bp1Y8WKFXzwwQds376d4sWLc++eac/itm3bSEtLIygoiI4dO6K0Cq4vC6VCicbqqk2jICCTSnPKfFBbOTiNTmtjoNbwVSpRqy11BaPRIVA1/qARDRs3YOK4yez6Yzet27YCICoqitMHj5F6+yoh5S3bpNQiz/PNkdfb0wuNndNZ8ttazl9JJPXONULKWnjE5FZ6+1h49Fobp+vfpDLeZQojf7MA+tsWw/SwW+DkwrtcEQq3CuXRL+fIemRyBCsO/Uj8rWTSHtwkuGSgRRaDFj+vl+8n/8aV8AoojPxNPwx3npk/l3jJyNRlOdT3KluEIi1DeLT9PFmPLU6p6Kc1kBf1xXDfstVCIpeSqXfkyAtLdq7n/NUk0u5eI6RMJfPnar3Wph8gR796a/1aypcf2Er8zWTSHtwguFSQ+XONQWsT1PJDVFQUp/bHkHb3OsFWsmh0ts9ylEXjUA65Y93KDoxGsx34KnzQWNuBVuMwnpb9tYULNy5x5f5Nqpay6m+9ozwvgq+PErXVBFsQBGTSVz/Sp1TY8hiNr86jtGu7rX9Q2uhMo3PUSy7s22QUjK8ky9JdGzh/NdGp/nbV+LVpk8ba572afpft28yF65e4cv8GVUtb2YFei99L2oFZXqUStdVExmjnf41GI3MXzefGzRtEzYjEw8PjlfhV2gyU3tYTPCUZmnTRukql0ubHNXtZAD74oAmNGzdi3Ljx/PHHH7Rt29ZcturYdhLupnHl0S2qFC9v/lxr0OHrJf42Rwyu4Fm6e4NpzNy7TnBARfPnGp0WP2/xsS4GV/W1K+KKK30V5MZkcdv2VSht5hBqO98ZFRXF6QOxjjFbRBYbm9TZxuylezZy4dolh35Sv6J+F/+aM4e4fZWQcnZzEYXdXMTbbi7iY/scBz/+Gv4XnI9NFg77Psrh8PFBo7X2447zJb865fAsURB5USWG+5Zr6z08bX8kdeO/F6/0hqZgwYLUr18fX19fTp06hVQqxdvbm9jYWKKiojAYDOYgEh4ejl6vRxAE3nzzTfPne/fupWfPnvTu3dv8i9avv/6KQqEgICCA6OhomjZtyscff0xUVBSPHz/G398f4JUDVC6qBwYTk3ASgPgrSQSWLGcuK/dWADcf3CFd9ZzMrEzOpSQQVqGqKE9YeCixMccASIhPIDDI4ihVKhW9e/TDYDAgkUjwVihMB9dzEBERwcqRkfw150du/X2XdLXleaHlq9g+p0JVYhJOARB78Qw1giy/qg1o050VwyLZN2srtx7eJV2dYeJJdeSpXiGYmMQcnsTThAdaeJ4duMz91ce4NfNP5EWUSBRykHrgXaaIwy8P3uWKULh5NR6sO4HhriXA92n0KYu6jmfnsGXcfvqA51oVmdlZXLhxmRCrSfyL8OxgMg/WHud25F/ICltk8SpTGP0tW1m8yhah8MfBPNhwykYWgEc/nuPe0mhk/j54eMtA4oFnKX+HevlhQMuurPh6BvumbeLWo3tm/calXSS0nO15nbDyVYhNOg3AsaQzVC8fbC7r2+QzFn81gV0jV3D7yX2ea1RkZmVx/sYlqpWuyMsgIiKC5YNn8OfUjdy26uu4KxepVtZOlnJViE06kyPLWapXCHbgC68YQsz5HDtITSKotGUCVK5EGW7et9jB2cvxhAbZ2kG/pp1Z2msyu79dxe0n90nX5Mhz/RIhL9kmsyyVqxF99gQAF5IvElSm/Au+kRdPCNHncnhSEl+Lp3pgMDEXTHYSn5ZEYKl8/ENyAmGB4v6hRnAoR0+Z/MP5SxepWLbCK8nRv8WXTve3q8ZvLsJDwog+GQvAhaQEgsq/Wpv6ffg5S/tMYffY1dx+bDVmriURElDpxQTWsoRWJ/pYjiwX4wmqEGhTPnnGNPQGPfNnzTVvPXsVXL2fSpli5Sjo449cKuftirWJu3pWXJbw6sTEmHLAxMfHExRk8XcqlYoePXqaY4FCoXC4nKBX3fbM7/gNv/aO4s6zv3muy/Gdd1MIfuvldewKnv7Nv2T5oO/5c/IGbluPmauJDuMuP7iqr10RV1zpqwCqVwohOi7Hz6Qm2vrOkmW4ef+2je8Mq2ixpYiICFZEzGLfzC12MfuiY8wuX5WYiyabjE08Q3ighaf/x11YNmAaeyeu4/bje+Y2nb+a9Er9NLBtd1YOj+Sv2T/myPM8zzlEWIWqxFzMnUOcoUag7Ru+8MrViD533KSX5Nfzv+B8bAIIr/QiDqs+unTBgSPj+DUebzvP/ZXHkPkr8PDKmUOU8Mdw7+XnEP8nIAj/3L9/EK+0lB48eDAAX3zxBV988YX589GjR4vWs//cHiNGjHD4bNky04HcAgUKEBER8Sri5YnGNepxIuks3aYNQUBgUo8R7DlxEI1OS4eGLRj+WT8GzP0WQRBoU/8jihUqKsrTqHFDTh4/xVddeyEIAhMmj2PP7j/RajS079iOj5t/RK+v+iGTSQmqGETzFs0cOOQyGcM69WVg1FiMgtH8vHT1cyavm8ecAePp1fJzxq+OZEf0Hvx9CzC997eOPFIZwzr2YdDCMRiNAm3qfkgx/6KkqzOYsjGK2X3H0/PjzkxYN5tfY/bi71uAaT1E+sMo8GRPIm92rQ0eHqjO3SQ7Q4dEIadI2+o83HKaws1D8JB68EYH0yvszEe2r9NlUhmDm3YhYtP3CIJAi+oNeaNAYZ5rVXz/xwq+7zTs5TrKKPB0byLFvnwXPEAVd8siS+tQHv54lsIfB+MhlVC0XXWTLI9VDhzph1Ip2tEkq+biPYwqPR7eMgp9WIUnv79cwjWZVEZE214MXjoOo9FI69oW/U7dMp/IXt/R88PPmLhxLjuO/Ym/sgDTun0jyvP1R10ZunEagiDQMryRSTcaFd//vozvP3O0ATGOoe16MXjpeATBSKvaTS2ybF1AZM+x9PjwUyZuiuLX4yZZpnYd6cDTuFZ9jiecpevEQQgCTO77DbtjD6DRa+nYuCXDu/Sn/8xRGI1G2jb4mDcLix+IlkllDPm4O0PXTsUoCLSq2YhiBYuQrslg+o6lzPzCUQ/2aFL7fY5dOM0Xo/oBAlMGj2HXkX1odFo++Uj8dkBRnnff53j8GbqM6Y8gwJSBo9kV/RcarZZPPmz9UhyNa9bnROI5uk39GkEQmNRzJHuOm/TSoWFLk3+YMxrBKNDmvWZ5+ocP6jbk2LnTdI7ojSAITB/+HTsP/YlGq6VT87Yv3SZX9Lerxu8H7zXk2NmTfD6oB4IA00aNZ+f+vWi0Gjq1yvvmLrE2DWnRnaGrJ5vGTK0mljGzfQkzu4x6IUeTho04fvoEXXp3RxAEpnw3kV1/7kGj1RBcuSrb//iVGtXD6TmwLwBdPu1Mk4aNX8jb8p12+Hj58FP0Jmb+NIlVEZuReEjYFrOVv5/dF/1O48aNOX78BF27djXZ0uRJ7N69G41GQ8eOHWne/GO++qoHMpmMihWDaNFC/NyKTCpj4PufMmJHFAICzavW5w3fQjzXqZi1fx1TWw58ofyu4pFJZQxt04vBy8cjCAKt3m1KMf8ipjHz40Iie4x5aVmc7etcHmfjiit8FUCTt9/jRMIZvhw3EAGBKf1GsStmP1qdlo4ftGLElwPpN30kRkGgXUNx3ymXyhjWoTeDFo7FKNjH7HnM7jvOFLPXz+HX2JyY/ZWjrmRSGUNb9eDrFRNN/fSORb/TflrErO6O8wUxmOYQfRk4P2cuUtdqLrJ+HnP6j6dXi88ZvyaSHTE5c5GettxN3n2fYxfO8MW3/UEQmDLoW3Yd/cvkx1/S/4JrYlPjWu+ZOCYMQhAEJvcdxe7Y/Wh0Wjo2acXwLgPoP+MbE0cefQSY5hBHr1CkXSjggSbpHka1AQ8vGf4fVOLpLucSyLrxn4OHIPxLL6QGNLHOH9jyqReASvfMKQ5fb38A1EevO8WjfL8sqoPXnOIA8G1cjuvjfneKo+yU1k5ndAZTVucbE3Y6xVFmkun6xTuzDzjFU3JEE5dlWn+85bxTHEU6VwdwSfZ4Z7Mxgykjs7PZtwt1rEbmpYdOyyKv8gaGiw+c4vAMMe3r1hy/5RSPT53SGK85v5daUq6QS/raVeM3++7zF1d8AaQlCrgke7zh6aufm7SHZyEllXs7dyPR5ZWmm5p0Ou0LauYPb28F95fEOMUBUHxAfad5ig+oz/PdKS+u+AIUaF7RJX0NOB1Xinap4bSvApO/0seJX9f7svAKfwsA1QHnrvX1bVKe9D8uv7jiC1CwVWXUh687xaFsWJbMxL+dlkUeXMzp2ORdy3Qts+5s/reovZCnZgnuzj/sFAdAiSENneb4J2C88ewfe5akjP8/96x/7EluuOGGG2644YYbbrjhhhsuxv9EYk033HDDDTfccMMNN9z4n4fx37kx61+95cwNN9xwww033HDDDTfcMMEV26RfFpJyhf6xZ/2r39C46uyAq/bRPtJecYqnqKKCy/aTX8+IdYqjrF89nv126cUVXwD/NlWcNq5cg3FWN56FlKh1zt9movQuiP6C+GHil4VXmCm3h7NnIvw+CkSn0znFAeDt7e2Ss2R31M6fuyqprMGaC/2c4vgqzHT5iLNnRaQlCvDJ8le/NckeP/dNcXqPfMFWlZ3eqw+m/fp7b0x3mqdZmTE80V53iqOwoiwzo1s5Lcuo9/5wydkXwCVncZ5pnY9N/oqSZN3PeHHFfCAr7scjrfPnrooqAnmide7MamGFKfli5kPn2iR/ww+92rm+BvBSKpw+h+tTz9QmV5yfdfbcIJjODman5Z+D7UWQBhb+r5tbuSJOHrw91ykOgMalXvICpP/P+Le+x3CfoXHDDTfccMMNN9xwww03/s/iX/2Gxg033HDDDTfccMMNN9zIgfH/twD/GfxPLGiMRiPT1swn5eYVPOVyJvQaQUDxkubyw+eOsWLHBqQSKW0bNKND45Z586yOIvnGFTxlcib2HUlA8VIWnrPHWL5tHVKplLYNm9OxiSOP0Whk9vTFpKVcw1MuZ/SEIZQKcNzCMHPyAgoU9KP/kK/ylGVq5Pckp6bgKfdk0phxBJQOMJfv3reXjVs3I5FKqBgYxHcjv3VI7mY0Glk4YyPXUm8hl8sYOq47JUu/6fCsedPW4ldASc/Bn4jKAhCddIof9v+EVCKl1dtNaPvuh6L1tkT/zpOMZwxs3lW0TZMXRXL5aiqecjlTIsZQpkRpmzpanY6eYwYzNWIs5UuX/Y/oJZfn+2kzSUlJxdPTk3ETxhIQYJHlwP6DrFm9Dg88aN+xLe3atxXlmLYqiuQbaXjKPZnYz268nIk1jReJlLaNmtPxg7y31hxNOMmqP7cglUhpXbsp7era5jh6pkpn7LpI9JkG3ihYmAlfDMXb09tRnmnTSElJwdPTkwkTJhAQYNHN/v37Wb16NQAdO3akfXvHPCNGo5EZ02ZZ6WUMpe30snb1ejzwoF3HtrRrL55Txmg0Mv/71VxJuYncU8aIcX0oGVDcod6cKSvxK+hLn687i/IIRoE/V6Xw9w0VUrmE5v0qUai4JUP6vbTnHFifBgIo/T1pNbgKMk+pgyyT580k+Ypp3E0e+R1lSjqOu14jBjLlm3GUDygrKosHHvR6byJli1QmM9vAsiNjuf/csmWlfmArWoX2wCgYOZT8C/uStojyAEQnnmLVXz8ilUpp/fYHtK2dhz0d/Z3HGU8Z1KKbQ9nR+BOs3L3ZxFHnQ9rX/9im/KkqnbGrZ+aMmSJM6BqBwmHMCPy88AR3rz5FJpfwWURd3ihZwFx+I/kRvy4/jSBAgUIKvhz9HnIR/UZOX0hayjXkcjnfThhK6QCL/z20P5oNq38CD2jboTmt29vKmQvBKHBs0988uaVHKvOgfrc3KfCmJwCa9CwOL7dsX3lyS0+tDkWp3NDfgcdkB9Nz7ECejx140LFjB1E7yEVouXBGdBhL19kdbT5vFNqUAa0iyM7OYlvsVn6O3iz6faPRyKzp80lNMcWmMRNG2Ojm4P6jrF+9BQ8PaNuhJW3aO+azMRqNTImaQXJaKp6eciaNHEeZUiLjd/gApnwznvJlyuYpy+zpS6xi09evHZsipy8gLeVqTn8PE+nvreDhkdPfzcXbNGcGKWmpyOVyJo8eR4BVm3b/tZcNP21BIpVSsUIg44aPztOPT/t+Osn/j73zjory2v7+h2kwDKCxV1QECyDFFluiokksiS1e04yxd8UWNfYeFRW7IlasKWoSFY29YC8ICNLsNbGBMr087x+DDMMMaC788t6bO9+1XEvmnPnO2fvsvc9+ntOy+3raZOu+jj6wny3btiIWiajhU4OJ303Il2fOlqWk3ruJTCJlSs9ReJa1yHTi6lnW/LbFPPY3a0OX5rYyAZyIO0fknq2IxWI6Nv2QLu9b13vxKpOJa+ei0WkpXbwk03qORu5sG8dnRS4i5bbZZqYPGotn+UpWddRaDf2nj2L64HF4VapiV54ZK8NIuZVujnnDv7M71vadNJyZoRPsjrU5+v0Pya2gqMZJgR1LTnH/xjMkMjHdRzenTMViOeWHf4rnzP5k3Iqbv/flyPcpV7m43fY48Pfif2LJ2dHLMej0OjZPX07oZ/1YuHVVTpneYGDBlpWsHj+f9ZPD2XlsH08z7K8xPXopBq1Ox5aZKwn9sj8LNlvzhEUtJ2LCAjZMXcLOI3t4mvHMhuPksbPotHrWRC1iYGgvli1aa1Pnl5+juZF+u2CZThxDq9Wxde0mRgwZRtjS8JwyjUbDsoiVrFsZwZbIjWRlZXEi5pQNx5njseh1ehZvmEjvYV1ZE/6DTZ19O49zO73g9bIGo4HFe9aztO80Vg+cxS/nD/LslfW+GI1ey9Tt4fx8Zn++PIfPnECr07Jj8VpG9R7C/DVLrcqvpV7n628Hcu9R/u0pCr0AHDt6Ap1Ox6bN6xkWOoTwhUtyyoxGI0uXrGBVxAo2bl5H1MYtvHiRYduWizFo9Tq2zF5ltpeolTlleoOBsE0riJi4kA3Tl+ZrL2DW76LdkSwfPJM1w+ey+8wBnr60ttHIA9tpU785a0fMp2YlL3aettXz0aNH0el0bN68mdDQUBYuXGgl05IlS4iIiGDz5s1s3LiRFy9s9zYdP3oCrU7Hxs3rGBY62EYvy5asYGXEcjZsXsvmfPQCEHPsEjqdnuWbZtBv2BesCt9iU2fPz4e5lV7wPTGpF59i0JvoMbseLb704kiUZZ+aIAjsj0ih/eBadJ9ZF6+gEmQ+1dpwHIk5jk6nZfuK9YzqP5T5KxdblV9LSaJHaH/uPrxfYFsaVPsAmdiZib98xtbzC+jR2Poi2x6NxjFzX08m//o5nwT0RiHzsMtjMBoI/20dy/pPJ2LQbHaf+52nL239acq2Rfx8Jtouh95oYOHONawYPpvIkfPZHbOfp5l5bCZ6G20atGTd6AXUrFydXadsbSbhzF0MOiMjl7Tjkz71+GXNpZwyQRD4IfwMX45uyojwttRuUIHnf2TZcJw8dgadVk9k1GIGh/Zm2aI1OWVGo5GVS9azNGIukVGL2brpZzJe2N/Hdic2C6Ne4JMJntT/tBQXfrLcaeRaTEK7sZVpN7Yy9T8tRckqztR4v5hdnqNHj6HTadm8OSrbDyxr5639IIqNGzfZ9QOAPh8NZlaPBcikzlafS8QSxn82jT7hX/B12Kd0e787pTzsX+J34lgMOq2OdVHLGRzajyWLLGOK0WhkxZJIlkeEsTZqOVs2/WBXN0dijqPV6di2agMj+w8jbGW4Vfm15CS+Gd6Pew8LjuPmsUnHmqiFDAztmc/YtJ8b6XfewHManVZHZNRSBof2YdmiCCuZVi5Zy9KI+URGLWHrpp/sy3TqODqdjq0RGxg5cBhhy3PFca2GpZGrWL8sgq2r15vj+Bn7cfzosWNodVq2bIoidFgoC8Itfa3RaFi+cgXrIiLZvDGKV1lZnDh10i7PsdjT6PQ6oiYuZXjXPiz6wSKT3mBg4Y7VrBo9l3XjFrLzxD4bX8up98NqVo6cw9pvw9h10o5P7t1Km4YtWT9uEbU8vdl50ta/j144hVanY+v3qxjRfQBhm1ZYlSemJ9Nz8jDu/ZH/3SxHzp5Ep9OxfWEko3oOZv7aZVbl19Ku02PcIO4WMNbCf1ZuVVTjZNzpW+h1RsYu70ynvu+yc/VZq/J7aU/4ZnxLRi3qwKhFHRwPM/9BeOMDzYYNG+jRowcrV67k+XOzcWzcuJFdu3YRHh7OmjVriIyMfOMPHTp0iEWLzMFk2bJldutcuXKFdevWsWTJEs6ePWtTnt/33oTYlGs0CWwAQICPL4m3UnLKbj28Q+WyFfFQuCOVSAmu4c+VlHj7PMkJNA1qCECgjx9JN3PxPLhD5XIV8XDL5qlZhyvJtpd7xccm0qhpPQD8A2qRnGh9md61uOskxifT8VP7bylf40rcVZo1bmJui38ASclJOWUymYzNazYgz97EajAacXaW2XAkXk2jfmN/AGrXqU7a9dtW5Unx6Vy/doN2XZoX2JZbf96nUsnyeLi6IZVICaxam6u3kqzq6PR62tZrQa9WXfNhgSuJcTSr3xiAoNr+XEuz3iSt0+tYNmUe1ey8ccrhKAK9AFyNvUqTJua2BATUISnRcgCCWCxm5+4fcHd3IzMjE0EQcHWV23DEJsdb7KWGH0k3CrKXAK5ct293tx7fo3Kp8ni4musGevly9Yb1JXZXbybRuLbZrpr41udCylXb9sTG0qRJk2yZAkhMtHCIxWJ2796Nu7s7GRkZ2TK52nBcjY2jSZNGANQJqENSYrIVx89voReAa1dTaNAkEADfAB9Skqw3syfGpZKUkM7Hn7ay+/3XuJ+cgVdQCQAq1ijG4xuWTf7PH6mRu0u4uO8+W6deQZ2lp2QFW5muJMTRrGG2zfjWITHV+rALnU7P0pnz852ZeY3a5eoRe8+cWKX9GUf10nWsyu88T8FV5o5ULAOcELC/MfPWH/epVCqXP1Wz70/t6rWkVyv7s6a3H92jcukKOTYT5O1HbF6buZFIE1+zzTT1q8/55FgbnpvX/qR29uV1VWuX5l7q05yyP++/xNXDmRO7k1g6+gCqVzrKVrZ9iIiLTaRR0/oA+AfU5nqumCcWi9m+ey1u7goyM18hCALyfGzmj3Q1lfzN/Vemupynt20PuxAEgbPb/qRJ97KIRE52ecx+0BR4kx9k5usHAPee3GbYqr42n3uV8+Hun7d5qcpEb9RzOe0C9XzetcsRF3uNRk3NY1OdAF+SEy0xQiwW88Pujbi5u5GZ+RJBwK5ursRfpVlDc6wK9KtDYkoe+9XrWDIrDC/P/OMmQHxsUp6xyXqjtWVsamPv67lkSsyRyT/Al+uJlos7zf29Pru/X+bb37HxV2n6brZM/nVITLbIJJPK2LJ6PXIX8xtyo9GITOZswwEQezWWptl9HRgQQFKSpa9lMhmbN2xCLpdn8xhwltkfD2LTEmnin51DVPcl6bZFpluP7lK5TAVLDuHjT2yq7dh/67F1vSAfP2LTrlnVuZqeSBN/s6809a/Pheu2PnnlegLNgs32lHdcAdAZ9CwZO4tqFT1tvpvDkRRHs3rmOB5Yy5/EdFubWTppLl6VC7aZ/6TcqqjGyRsJj/FtYJ6t8vIty50U68ug76Y95fdtsSwI/ZUD22z7578Bgkn42/79nXjjA02vXr3w8/MjKyuLDRs28ODBAy5cuIBarcZgMJCSkoKPjw8RERFs27aN8ePHs3TpUpKTk5k1axbLly9HEARSUlIoXbo0GRkZvHjxgqioKKKiolixwvx2YeXKlZw5c4Y+ffoQGhqKu7s7q1atYu3atWzdupXNmzeTmfnvnUClVKtwlyty/haLxBiMRgCy1CrccpW5yl3JUtk/LStLrcRN7mZRnkiEwWjIKXPPVaaQu/JKZfu2UqlUoXCzDJBisQiDwdyWp0+es271VkZ/N/jNMimVuClyt0WMwWDIaVepkiUB2PrjDlQqFY0bNrLhUCnVKNzkuThEGLPb8uxpBlvW/MrQcd3f3BaNCjcXi0yuznKy1CqrOh6ubjSqEVwgT5ZKibsidz9Z9AtQ1y+Q8qVtl8RZtaUI9JLD427hMfeTpS0SiYQjh4/xebevqFsvGInEdvVmllqFm6tFHht7yVWmkMt5lY/dKTXWNqqwo19zH5jruDrLydJYl7+Wyd3dPZdMYhuZDh8+TLdu3ahXr559mfLoRWRHL0cPH+Pzbt0Jzkcv8Nr2rP0gx/aevGBTxE5Cx9tf0pIbWrURZ1fLb4hETpiM5gXC6pc6HqS8pO5HFfl8chB3rr3gdoLtG8IslRI3hf1+AqhbJ5DyZWyXw+WFXOqGSmc5oclkMiJysiy/uvc8jXlddrGoWzRX7h6zqpsbSq21Pymc5WRprG3Dw9WNRjXz96csjTLHHuC1T1pz5LYrVxfb3wDQqPS4KKQ5fzuJRBiz9at8qeV20hOafVKLIfM+JDX2ESl2Ti1SKlW4ueXy61wxD0AiEXP8SAw9ug0iqF4dJBKxDQeAXm1CKreUOYmcMBmtB8x7cUreqeBMsXL2E1Nze5S4W/m2PT84UqAfABy8Eo3BqLf53E3uziu1pW+VGiXucvuzcXl1IxKLbXRz7MhJunfrR3C9ALu6UaqUuCvyjEuG3PYb9Fb2ax6b7PeTeWzaxujvBr0Fj/It+vsUPboNzLe/s5T5yyQSiShVIjuO/7wDlVpNkwb2HxizlErc3HLHK+vxoGT2eLBtx3ZUKjWNGzW2L5NaaRWDzWOTMbssTw7hIueV2taX8tZTuNj6ZFau33F1cbUpz2lLPuMKQHCtOpQrVfA4aY55ecbJ3DHP981j7WuZ/mNyqyIaJ9UqPXKFJX6IxJaYB1CvZXW+HPkeIxZ8zI1rj0k4W/CMpQN/H95qyVl6ejqNGzemc+fOJCQkULt2beRyOV988QUtW7ZEEAR0Oh2ff/45FStWpEmTJrx48YJSpUphNBp59uwZ6enpZGZmsnfvXjw8POjRowevXr2ibt26bNu2jcDAwJyj5DZu3MiJEycwGAz07t2bly9f8vXXX1OiRIl/S0iF3BVlriM7TSYTErE5iLrJXVHlMmqVWoW7q5sNh7muwqquSTAhEUtyypS5ypT58CgUrqiUedqSHdCPHTpFZsZLxgydypYNP3Fo/3H2/XrIvkwKBcpcwcHMI7H6e8HScM5dOEf43DCcnGzfVroq5KhUlrecgiAgzm7LqcMXyczIYvLwxfywMZpjB85zcE+M1fdXH9jKoNUT+XbjHJRai0wqrdoqsLwt3FwVKNX29fu2KAq95PAoc/MINolNq9YtOXBoH3q9nr17bJcGuMldUVnJIxRgL2qrARwgPDyc/kvHMypyhnVdO/pVuLiiyu4DlVZtNcjkL5PJRqbWrVtz6NAh9Ho9e/bssZVJoUCptLRFsMMR0rolBw7txaDXs8+OXsBse2orP7DY3onD58nMeMV3w+exfeNvHD1wmgO/nbDL4ywXo1NbkiVBMA9AAHJ3Ke+Uk1OqkgKxRES1wJI8vmn7EOHmqkCpyi2T8JftDkCtz0IutejdyUmESTC3zbNETep6tmDI9hCGbGuJh7wkjbys33Sv2r+FgSsnMmb9bKt4pdSqcXd5O39a+dsm+oePZdTq6VY2Y88mrGxGo7ZKGl7DxVWKVm1JdARBQJytX4W7M6UquFOuSnHEEhG16lfgfprtUhCFwtXKZsy+ZJ3EtmjVjN8ObkWv17N/z2G7sknlIvQaS2Jh7mtr/00/95Ka+Sw1s7TnbfygFYcOHczXDwpClvoVCpfciauCVyr7L+MKGg9eo2Wr99l78Ef0ej3Rew7acuS1X8E2Vr0NCh6bYsjMyGTM0Gls2fAzh/afKHhsyuPbtv39Hr8d3I5eb2D/HlseN0XBMplMJsKWL+bsxfOEz56fbxx3UyhQFdDXJpOJBeGLOHvuHIvCFuQ/HsgVqHLnEIKQk0OY84tcvqZRW4394eHh9Av7lpHLp1rH8Tz14HWO8donVXbHUYU8zzj5b8Qr81hr0Ytg+utjrbkt//9zq6IeJ+WuUrRqy4sKwWSJeYIg0KpLHdyKyZFIxfi/68m99Kc2HP/xEIS/79/fiLd6oPH29ubMmTPs3buXunXr8uTJE169MicG7du3Z9++fQiCYLWZTqfTkZGRgUql4ocffmDChAkMHTqUO3fuoFar2b17N6VKleLdd9/l999/p1GjRjRu3Jjly5ej0+l45x3z3SIikYgSJUqwadOmf3uGJriGPzFXzwMQn5aET2WvnLJqFapw9/EDMrNeojfouZwcT4CPr12eoJr+nIo9B0BcWqI1T8Uq3H1834onsIafDUedIF/OxpjXoV+LT6a6T9Wcsn992ZH125eyfN08uvf6Fx+0bUH7jh/YlykgiFNnzHfJxF2Lx6e6t1X5jLmz0eq0LJm/KGeJVV74Bnpz8bR56vZ6wg2qels283X6/ANWbJlK2JpxfNazHS3bvMuHnzSz+v7ANl+xauBs9k/ZyL2nj8hUvUJv0BN7K5E6VWra/c2CUNcvgJMXzgBw9fo1alSt/pc5ikIvAEHBgZyOMbclPj4Bbx9LW7KysujbewA6nQ6RSIRcLre7vCWoZh1OxZrtLi41ER/Pajll1SpW4e6jXPZyPc7GXkaOHMma4XM5OHurWb/KbP2mXyOgWi2ruoFetTmddBGAM0mXCPKytb3g4GBiYmKyZYrHx8fHSqbevXvnkck2PAQGB+ToJSE+AW8fbyuOfr0H5nC4yOU42eEA8A+qwfnTVwFIik/Dy9uyIbXLF22I2DaH8MgpfNGzAyFtmtKmg/1ljxVrFuNGrDmJfpCaSWlPywBVvKwcncbIi8fmQe5+cgalKtsOYMH+gZw6n20zSQn4eP11uwNIfnyZup7mdvqUCeTuc8uyFJXuFTqjBp1Bi0kw8VL9DDdn68R7UNvurB48mwPTNnH/mcWfrt5Mok5V6/7OD4M7fMOakfM5OG879548zLGZK2nXCPCqbVU3yMuXmGtmmzmdeIlgb1ubqeZXhqQL5r1Dt68/oUJVyyVpJcu7oVUbePLAvMzv5rU/KVeluA1HQJAvZ2PMv3Mt/rpVzFNmKRnUZ0wuu3PJ12bKesu5n2BOwv68oeadirazMM/uaCnj7WLzeW4EBwe9wQ/6vNEPCsLNx2lUKVONYq7FkYqlNKjRiNibl+3WDQjy50yMOUYkxCfh7WMZU7KylAzsM8JKN/baElwnkJOv7TcxAZ9q3jZ13gZ1rPop79jUIXtsmkv3Xl35oG3zfMemgCA/zmbLdC0+ieo+lrhn7u9Rb+zv4DqBnDr3Oo4n4ONlLdP0sDnodFqWfr8wZ+mZPQQFBXHqtLmv4+Lj8fH2sSqfMXsmOq2WJYvCc5ae2eXx9iMmITuHuJGEd8Vcsby8J3f/sOQQV1ITCKxuySFGjhxJ5LdhHFr4A/f+fEim0lIvr08GVvclJuECAKevXaKuj7+tbmr5c+pKdh6SmohPFS+bOm9CsG8Apy6al/XHJV/D598Ya+E/I7cq6nHSy78c186bD3O5mfQHFapZXqRrlDpm9v0JjVpvXnkU+wDPGvb3xznw9+OtHsnHjRtn9feMGTOs/l6wYEHO/4cNG5bz/+bNbZOQiRMn2ny2adMmAOrXr0/9+vVtyj/77LO3aWa+CKnfjLMJl+kxbSiCADMGjCX69BFUWjVdQz5mdPdBDJo3DpPJRKfmbSlbwr6BtmrwHucSLvH15CEICMwcOI59MYdRa9R0bf0JY74ewsA532ISBDq3sM/TPKQJF8/FMqDHaAQEJk4fycHoY6hVGjp2LXjfjFVbWrTk7MVzdO/XE0EQmDlpGvt+349KrcKvli+79vxC3aBg+gwZAED3z76gVYsQK46mLety5XwSI3rPBgFGTe3N0QPn0Kg0tOvS4q3bIhFLGPFJL0LXTsckmPikQWvKFCtJpuoVc35ewbwe499MArRu0oIzVy7yxch+CILAnNGT2Hvsd1RqNd3adfrb9ALQMqQF586ep2ePPgiCwLQZU9gffQCVSs2nXTvTtl0b+vYagEQiwaeGN+3a2/Zdq4bvcS7+El9PGmxuy+Dx7Is5lG0vHRjTYwgDZ4/BZBLo3LJdvnYnEUsY2akvw1ZNxmQy0aHRh5QpXopM5StmbV9CWN9J9Pnwc6ZtWcTuM79TXOHB7G/G2vCEhIRw9uxZevTogSAIzJgxg+joaFQqFV27dqVdu3b06tULiURCjRo1aN/e9kSlliEtOH/2Ar169EUQBKbOmMz+6N9Rq1R06dqZtu0+om+vgUgkYnxq+NCuvf319s1aNuDyuQSG9pwCAoydNoAj+0+jVmneuG8mN2o2LM3t+BdsnnQZQYD2g2uRGPMHeo2RoNYVaDuoFr8tSULAvMfGu24pG47W77XgzOXzfDm0N4IAs8dNYe/hA6jUKrp9kv8JV3lx4dYhAio1ZVbHHTg5ObHi+Hc08/4YF6mCw9d/4FDSDmZ23I7BqOfxy7scT9lll8fsT70ZvmYagiDwScNWOf40+8flzO/53RvbIhVLGPVpP4Yum4hJEOjYxGIzM7csZsGAyfRp+wVToxbyy+kDFHfzYHavcTY8AU09SbnykPAR0SDAl6ObcunoTXRqA03a1+CLUU2ImnsSQYBqvmXwe7eSDUfzkKZcOHeFfj1GADBx+ih+jz6KWqWhU9d2fNQ2hEG9xyCRSPD2qUab9rb+CFAl2I0HSSr2fn8XQYD3epXjxvmX6DUmajUvjvqVAamLKN+37K9h9oNz2X4AM2ZMz+MHbenVq3e2H/jY9QN7+LhhZ1ydXfnx1Fbm/TidtSO3IXISsTNmB39m2L9ot0VIMy6cu0zfHkMRgMnTx/J79BFUKjWdu37MR21bM7D3CMQSCT4+XrRp39qGo/V7LTl76TxfDe6NIAjMGj+VvYey7bfD29tv85DGucYmmDh9BAejj6NWqf/S2GTu78v06xEKCEycPia7v9V06tqej9q2YlDv0UgkYrx9vGjT3tbfW73fkjMXz/PVwN4gCMycMJV9Bw9Y4vjeX6kXGEzv4eYLdrv/6wtaN29py9MyhHPnzvF1T3Nfz5w2nX37o1GrVPj6+rH7l1+oG1yXvgP6AfDVF1/RKsTW/kLqNuVc0mW+mR2KgMD03mPYf+4oKo2aT1u0Z/TnAxm86DsEQaBjs48o845tnJFKJIzqNoAh4RMxCaacepnKl8zYtJiFg6fQ9+MvmbI+jN2n9lPczYM5/Wx9vdW773M2/hLdJwwyyzRkPPtOHUKlVvOvDzu8VR+1btycM7EX+HJ0PwRg9oiJ7D2ePda27fRWHPCflVsV1TgZ1KwayZfvEzbsFwRBoMfYFlw4koZWree9j33p2Kchi0fvQSIVUzO4Av7v5r9X6T8Vf/felr8LTsI/9cpQ+I+7zfap+sYbahaMUvLq6F7YX4P6VyB7R8HtV6cLxVHVvSkZv15/c8U3oHjH2phu2T9F6G0hqmZ+a1xY3cjeUaDU/HuzgLmhcCmGNs5+AvO2cA40r3kvihuQNRrbzdN/FS4uLmRpMgrF4eZSnAfKK4VuS0VFXTbEDSwUR6/A1QAYH758Q82CIa7gwb8iahSKA+CnAalk7kl+c8UCUOyTWmQdufnmim+AWysvDtyZU2ieNlUm8Fx9u1AcJeRVmXcq/+PM3xbj3tuDJtfSmH8HLtkzurX62R5l/FeQHPmQDHXhx6bi8ooYHtvfh/W2kJRz56m6cDEGoJTcm+fqu2+uWABKyM2Jof5J4WSSlnZHqyxcXwM4K+SoThdOJtemZpmUJ28XikfxflV01/4oFAeAzL8sxnT7J429LcTeJf7jcquiGCeP3l/05opvQEilUYXm+Dugv/7kzZWKCNLaf98M1v/EPTQOOOCAAw444IADDjjwP49/6AzN/8Q9NA444IADDjjggAMOOODAPxP/6CVnDjjggAMOOOCAAw444IAZRbF88W0h83/z8d9FBccMjQMOOOCAAw444IADDjjwX4t/9B6arKO3Cs3hFlKNl9Gpb65YADzamTcNqzS2l0H9Fbi6uKHSFG7DpJnHnccq25t2/wrKudYpsg3IRbGxFcB0r3Ab+kWVixXZBnq1nQu7/grk2RcrFsXhArr4IthMGlC2SDb93su6WOi2VHZrUCQHQEDhY4RbSDUSn+8tFAeAX4mPi+SAgqLarKtRF4EfyF3QZRSyn4orMN3NKHRbRJ7Febwy5s0VC0C5weZj6wu7ob+4vGKhDxYA8+ECRREfXqoLv0HYQ166SMY3oEhsprAHC4D5cIHCjnFurczHD6vO3isUj2vjyuifF06/ANISbkVyCE9hD0sA84EJRXV4TlH0U8KzXwvFAVCnZMdCc/wtML25yn8jHDM0DjjggAMOOOCAAw444MB/Lf7RMzS5cTL+HJHRWxGLxHRo8hFdmlmfq/8iK5OJ6+eh1WkpXbwkU3uMQi6zvbDr5LULrD24HYlIzCfvfkDnxh9ZlWdkZTJp8wK0eh2lipVg6heheOQqN5lMzJk9l9TUVGQyGVOmTsbT03Kp4OHDR9iwfiNOONGla2e6dOlsVx4LTxoymTQfnk04AV26dqFLl052OcLnRJKeegeZTMK3UwZRybO8Tb2wmavx8HBjQGh3u22B1/rdhlgspkPjD/PXr15H6WIlmdpjpI1+TSYTM8PnkpJulmn6t5OpUqmyVR21RkPf0YOZOXYKXlWq2pVpxtJ5JN9IQyaVMXP0RKpUtOXoM24os0ZPwsvTluM1z+zZs3P6aerUqXh6Ws6b379/P1u2bEEsFuPj48PEiRNtLr0z99EcUlNTkcpkTJ06xYrj8OHDrF+/ASec+LRrF7p0sX9nhMlkYvbacFLupCOTypg28Fs8y1nu+zh+6TQROzchFonp1LIdXVvbP+bWZDIxa+0iUm7fQCaVMn3gWDzLW98botZq6D9zFNMHjcOrYhW7HGFzlpKeehOpVMp3U0dR2dNyIeuxw6fYvH4HODnR6dN2dOjSLt+2LJ27kRupd5HKJIye3JeKlcvZ1Fs0ax3uHgr6Df88f5nCviclLRWZVMb0CZPxrGzRcfTBA2zZsQ2RWEQNbx8mffud3csJiyI+mEwm1oTt4nb6Q6RSCYO/60b5ypb7KH7bfoIje87jUdz8JnrguK5UrFLGhmPG4nmk3EhDJpUy49tJdu2375ghzBw7uWD73bCE1Lvmvp7adwye5Sz9dPzKGdbs3my2meZt+DTk4/x55mT7gTQfP9i6BbHIfO/QxAn2/WDW/Ow+ktnpo98PsOWHbYhE2X001n4fmX17Psk3s3171IR8fHsYs0ZPzFc3AKdvXmXT+T2IRSLa+TXjE3/7F7f+FHuI58pMBjTratOW+XOWkJZq1u+EqWOs/ODo4ZNErd+OkxN0+vRjOnYp+C6bgGrBjPl0Ij0WWP9Oy4APGPzJSIxGAztP7+CnU9vs6qWo4sO8OQtJS01HKpUyaep4KntaeI4ePs7G9VtwcnKi86cd6NQlf57CjnFFaTMzF84lNT0NqVTKjPGT8cw1pkQfOsDmH7cjEoupUd2byaPH53uR6r8zxrnlKjeZTMyJWkrqvRvIJFKm9B6NZ1mLzZyIPcua37J98r02dGlh32ZMJhMzw+aSmp6KVCpjxneT8aycS6aDB9j8wzZEIjE1vH2Y/K2tTCaTiRnLw7J9ScrMkROoUsGOL00YxqyRE/GqXDXftszZspTUezfNMvUcZS3T1bOs+c08TnZq1oYuzfMfD4rChosqD4lcsJs7aY+QyCQM+q4r5StZ4vie7Sc5svciHsXNs/wDxnaxieP/6finbp3/n5ih0RsNLPw5ghXD5hA5KozdMdE8zbQ+iz1y31baNGjBujELqVm5OrtORdvwGIwGwn9dy/KBM4kY+j27zx7g6Uvr6du1B3fwUb3mRA6fR82KXuw6c8Cq/NjR4+h0WqI2b2R46DAWLQzPKTMajSxdsozVESvZtHkDURs38+KF/elhM4+OqM0b8uFZnosnihcvMmw4Yo5dQKfTsypqDv2Hd2flok02dX77+SA30wqeXtYbDSzcuYYVw2cTOXI+u2P22+o3ehttGrRk3egF2frdb8NzJOY4Wp2Obas2MLL/MMJWhluVX0tO4pvh/bj3MP8lH4dPn0Cr07Fj2XpG9R3C/NVLrDlSkvh6VH/uPbxfoExHjx5Fp9OxefNmQkNDWbhwYU6ZRqNh+fLlrF27lqioKLKysjh58qQNx7Gjx9DqdERtjiI0dDiLFlrOuTcajSxZspSIiNVEbd7Epo1R+fb10YsxaPU6tsxeReiX/VkQtTKnTG8wELZpBRETF7Jh+lJ2HtnD04xn+fCcQqvTsXXOKkZ8NYCwqBVW5Yk3kuk5ZRj3Hj/MVy8nj51Gp9URGbWUwaF9WLYowkqmlUvWsjRiPpFRS9i66ScyXthfBnj6+GV0Wj3LNk6j77DPWR1um6jt3XmEW+kFL9U4euIYWq2OrWs3MWLIMMKWWmxGo9GwLGIl61ZGsCVyI1lZWZyIOWXDUVTx4cLJa+h1euZGDqf74PZsXPabVfnNlPsMn/IFM1cOZubKwXYHwSMx5viwfcV6RvUfyvyVi63Kr6Uk0SO0P3ffZL+XY9DpdWyevpzQz/qxcOsqi7wGAwu2rGT1+PmsnxzOzmP7eJph/26Ko8eOotPq2ByV7QeL8vjBiuWsjSzYD46eMPvB1nWbGDF4GGFL8umjtfn3EeTy7aXrGNVnMPMj8vr2db4eNYB7jwrWjcFoYMXJH1jYeRRLu45jT8JJnimt7VRr0DHrQCS7447a5ThxLAadVse6qOUMDu3HkkUW/RqNRlYsiWR5RBhro5azZdMP+foBQJ+PBjOrxwJkUmerzyViCeM/m0af8C/4OuxTur3fnVIetnc6FFV8OH7sFFqtjvVREQwNHcjiRcutZFq+ZDUrIxazPmo1mzdtI8POmAJFM8YVlc0cOWUeJ7dGbGDkwGGELc/Fo9WwNHIV65dFsHX1ejPPGfs8RTHGHbtyGp1eR9TkZQz/V18W7Vht4TcYWLh9FavGzGPdd4vYeSJ/nzxy0qzfrZEbGTl4GGHLrHWzdM1K1q+IYGvkBrKUWZw4bSvT4TMn0Oq07Fi8llG9hzB/zVKr8mup1/n624Hce1Tw8spjsdkyTVzK8K59WPSDZTzQGwws3LGaVaPnsm7cQrNMmfnEmSKw4aLKQy6cTESvMzAncijdB7Vl01LrJcU3Ux4wbPJnzFgxkBkrBv7XPcz8k/E/8UBz+9FdKpeugIfCHalESlB1f2LTr1nVuXojkSa+9QFo6teA88mxNjy3/rhHpVLl8XB1M/NU8+XqzURrnptJNK5VD4AmtetzITXOqjw29ipNmjQBICCgDkmJSTllYrGYXbt/xt3dncyMTARBwNXV1a5MZp7GuXiu5+H5CXd3t2wecHWV23DExybTsEkQAH4BNUhJsl6Hei0uhcSENDp0/cBuG17j9qN7Zv26ZuvX24/YG3n0ciORJr5mvTT1q29Xv1fir9KsoVmmQL86JKZYX9yp0+tYMisML0/bmYMcjmtXadbAzBHkW4drqXk59CybFka1fN44vUZsbGyufgogMdEij0wmIyoqCrncrFOj0YhMJrPL0dSKw7qvd+/e9XZ9nRxP06CGAATW8CPpRkpO2a0Hd6hcriIebmbdB9cM4Mr1ePu6uZ5As+B37fK81s2Sb2dRrWL+Nx/HxSbSqGkDAPwDfLmeaNlfJhaL2b57PW7uCjIzXyIIAnI7dgdw7WoKDZoEAOBbx5vUJOu9LEnxaVxPSOfjLvZvjc+RKe4qzRqbdRzoH0BSskXHMpmMzWs2IM++ENFgNOLsbNtPRRUfrsfdIrhRLQBq+lfhxnXrh7EbyffZGXWUCQOWsXPTEfvyJMTRrGG2PL51SMxrvzo9S2fOL3D2ASA25RpNAs39FODjS+KtXDbz8A6Vy1bMkTe4hj9XUuzbTGxsLE2aFuAHm3L5gcG+H1yJu0qzRtky1bHTR5F5+sgOB8CVxDiaNWgEvPZt64tIdXody6bNf6Nv33n+iIrFy+DuokAqlhBQwYf4h9b7JHUGPR/VbszXDe2/JY+LvZbjB3UCfElOtOhXLBbzw+6NuLm7ZfsB+foBwL0ntxm2qq/N517lfLj7521eqjLRG/VcTrtAPZ93beoVVXyIi42nSdN3s2Xy53qiRb9isZgfd2/JkYkCfLsoxriispnY+Ks0fTd7TPGvQ2KyxZ9kUhlbVq9H7mJ+Q2+O4852eYpijItNu0aTOtk+6e1L0i2Lzd16dJfKZSwxKNjHn9hU+/tcY+Ou0vS1bvzrkHjdWjdbcsU8o8Fg3ycT42hWP3ucrO3PtTQ7vjRlHtUq5T/WmmVKpIl/tkzVfUm6/W/KVAQ2XFR5SHLcbYLerQlADf8q3Ey2fkFyM+UBu6OOMWngSnZF2X/h8R8Pk/D3/fsbUeQPNMuWLWPlypWsWLGC5OQ333y9bNmyom6CDbI0Ktzkipy/XV3kZKmtNx4qc9VxdbYtz6njYgm+ri5ysjR5eLTqnDquznbKlVm4uVsmosViEQaDIedviUTCkcNH+azb59StF4xEYn9VoFKpfEueL/LlUSnVKNws8ojEIgwGIwDPnrxgY8SPjBxvO9DmRZZGiZtLLv3a0Z+Vfu3oDUCpUuKusMgkElnLVLdOEOXL2C5LsmpLHg6xSITBmIvDP5DyZd58jKBSqcTd3d3CIxbntEUkElGyZEkAtm3bhkqlonHjxnY5rPtIbKePjtCt22fUq1c3377OUqtwc7XoV5RLpiy1EvdcZQq5nFcq+5tqlWplvjwAwbXqUK5UwbpRKpW4uVk4xLlsxiyTmONHTtGj20CC6tVBIhHb5VFl5bE9kQhjLtvbFLGLYeN6FtiWnPZY2Yx1P5XK7qetP+4w91PDRjYcRRUfVEoNrm6W5QsisUUmgGYfBDFw7KdMXz6I6/G3uBSTZMORpVLipsi/j+rWCXyjDwAo1Srcc8kkFokxGM1tyVLnkVfuSlZ+NqNU4u72Fn6wfRsqdQF+4PaWfaRW0fhd2z4CyFIWkW/rNChklmRcLnNBqbW+Wd7dRUGDKv75cyhVVn4gEott/ODYkZN079aP4HoB+foBwMEr0RiMepvP3eTuvFJbNrcrNUrc5R429YosPiiVKKxksh1Tjh45wZfdehJcL6iAsanwY9z/lc3kHlNEIhGlSmTz/LwDlVpNkwa2D4xQNGOcMk8/me3XmF1mHZtdXVx5ZSfGmGXKwj23bsT5yPRTtkz2Yp5Kibsib1ty+ZJfIOVLv4UvqZVWscRaJtu4mq9MRWDDRZWHqFUFx/GmrQPpP7YLU5f1JznuNpdO28ZxB/7/4P9kD41EIqF48eJkZmbSu3dvhg0bxv79+3F1daV58+b8+OOP+Pj40L69+e3Xxo0b0Wg0eHp6olQq0Wq1VKlShbNnz6JQKGjdujU//fQTxYsXZ8iQITg5Ob1VO1b+upGrNxJJe3AL/6q1cj5XadS4u7pZ1VW4uKLSqHGROaPSqnGXW8pXRW/m6s0k0h/dxs+zhjWPSx4eZzkqbW4ehXW5wg2V0uJEJpNgE9BbtQ6hZUgLpkyext49++jYqYONbAqFApXScpLWv8PjqpCjUllOMxJMppyB99ihM2RmvGLcsNk8f5aBRqPDs1pF2nZomVN/5W+b7OvXntwurha9aKz1m1PHVYFSZZFJEGxlehPcXBUocwU7kyAgEf91M1coFCit+slk1RaTyUR4eDh37txh4cKFdm3SzKHKlwOgVetWtAxpyZTJU9izZy+dOtmekuImd0WlzsWTSyY3uQJlrhPVlGq11QBu1R65AmU+PG8Ls0yW5M9sd9bJWotW7/F+y6bMnBLG/j2H+LhTGxseVzc5qlw8gmBCnM1z8vAFXma8YkJoGC+eZpptr2oFPurwvv32qArup0XLl3Dn7h3C54ZZ9VN4eDgXj5wudHzIkUnhglqptdLNa5kEQeDjz95H4WZOpOs1qc3N1AfUb+ZrxeGW1wdM/6b9yl1RanL3kwmJ2NwWN7krqlw2o1KrbOTN4XkbP1ic7QcLCvCDN/XRsiXcuWfbR7nhpshrv6a/pJu1Z3aR8DCdG0/vUbucV87nap0GN2f7s6P5QaFwtbJfU67Y+RotW71P85bNmDFlHtF7DvJJp7Z5aQpElvoVilwJmsJFwSuV7dK1IosPecYUwc6YEtKqOS1avsf0KbPZt+cAHTrZzmAVxRhXpDZTwJhiMplYuHKpmWf2fBueohzjFHn8ztxP4uwyhZW/qjT5+6Sbws3KJ/P2k8lkYuHyJdy5d5fw721lguw4UwhfssikQJU7zljJ5Gple/biak57CmHD+cbxfzMPkbu6oFHlH8fbf9YsJ47XbVKLW6kPqd/U14bHgb8f/ydLzvr370+VKuapysDAQMRiMRqNBjc3N4xGI40bN6ZFixZcvXoVAHd3d0qUKMHNmzd58uQJ3bt3x8vLi/v371O8eHFu375NqVKlMBqN6PW2b7Lyw+COPVkzKoyD83dw78lDMpWv0Bv0XElLIMCrtlXdoOp+xCReAOB04kWCvS1v5wa1+5qIod/z+4zN3H/6KIcn9mYidXI5EEBgNV9OX78EwJnrlwjy8rP+neBAYmJOAxAfn4C3j3dOWVZWFn1690On0yESiZDLXXAS2Q/Ub+bpn4tHjpOdjY51gmpxPuYKAInxqVTztiw16vpleyK3zWfJ2hl82aszrds0s3qYARjc4RvWjJzPwXnb8+j3mq1+vXyJuXYxW7+XCPa21gtAcJ1ATp43yxSXmIBPNW+bOm9CXb9ATl44A8DVpARqVKv+lzkAgoODiYkxH/MaHx+Pj4+PVfnMmTPRarUsXrw4Z8lNXgQFB+XhyNtHfaz6SJRfX9esw6nY8wDEpSbi41ktp6xaxSrcfXSfzKyX6A16Ll+PI7CGrW4Bgmv5c+rKuVw8XnbrFYSAID/Oxpjbci0+ieo+lrYos5QM6jMqj/3aDzF+gTW4cNq8HDMpIZ1q3pYNqZ2/+IhVW2exaM0kPu/5CSFtGtt9mAEIDgji1Jlsm7kWj091a5uZMXc2Wp2WJfMX5SzDeI2RI0cWSXx4jVoB1bhy1rykJeXaHapUtxywoVJqGPFVGGqVFkEQSLicTvValWw4gv0DOfXaB5IS8PH6N+23hj8xV839FJ+WhE9lS19Xq1CFu48fWGwmOZ4AH/sDcnDQW/pBeP5+YNVHCfH4eL99H+VGXb8ATp7P7dt/LT70bdKFJV3H8ku/cB5k/MlLTRZ6o4G4h6n4lf9reg4I8udMth8kxCfh7WPRb1aWkoF9Rlj5QX4bzQvCzcdpVClTjWKuxZGKpTSo0YjYm5dt6hVVfAgMqsPpmHPZMl2jeh6Z+vcZmide2ZepKMa4orKZ4DqBnDr3Oj4k4ONlzTM9bA46nZal3y/MWXqWG0U5xgV5+xETZ44h8elJeFfK1U/lPbn7h8Unr6QkEOidj08GBHLqbC6Z8sS86fNmo9PpWDpvYb66qesXYBknr1+jRtV/L84EefsRk5AdZ24k4V2xAJlSEwisbl+mwtjwyJEjizQPqRVQlStnzauLUq/dwbO6ZUZcpdQwqvuinDh+7fINqtesaMPxnw7BJPxt//5O/J+fciYSiahevToymQyNRoNIJOLYsWPcunWLL7/8ktTUVNLT0ylbtiyCIODu7s6aNWuoWbMmFSpUQKlUUrt2bWJjYxEEAZ1OZ3dNaEGQiiWM6tqfocsmYDIJdGzyIWWKlyJT+YqZW8JZMGAKfdp+wdRNC/gl5gDF3TyY3Xu8DY9ELGFEx74Mi5iCIAh88u4HlClekkzlK2b9sIyw3hPo/WE3pm1bzC9nD1LczYNZ3cdYcYSEtOTc2fN806MXgiAwfcZU9kfvR6VS82nXLrRr15Y+vfoikUjwqeFD+/b2TwWx8PTOxXMAlUqVzdOGPr365eKxfTv4XkhDLp2LY/A3ExAEGD99CIf2n0Kt0tDh04L3zdjo99N+DF02EZOQV7+LWTBgslm/UQv55XS2fnuNs+Fp/V5Lzl46z1eDzTLNGj+VvYcOoFKr6NbB/glgNhzNWnDmynm+GN4HQRCY8+0U9h45gEqtptvH9k+Ms4eQkBDOnj1Ljx49EASBGTNmEB0djUqlws/Pj927d1O3bl369esHwJdffkmrVq1sOM6dPUePHt+AIDB9xnSio/ejUqno2vVT2rZrR+9efXL1kf31+q0avse5+Et8PWkwgiAwc/B49sUcQq1R07V1B8b0GMLA2WMwmQQ6t2xH2RK2G4fNPO9zNv4S3ScOQhBg5pDx7Dt1CJVGzb8+sJ0FtIfmIU25cO4y/XqEAgITp4/h9+ijqFVqOnVtz0dtWzGo92gkEjHePl60ad/KLk+zlvW5cv4aw3tNRxAEvp3anyP7z6BWa964b8ZKphYtOXvxHN379TTrZtI09v2+H5VahV8tX3bt+YW6QcH0GTIAgO6ffUGrFtb8RRUf3m3uT9yFVL7rtxQBGDrxM07+fgWNWsuHnRrz1cB2TBm6CqlUTEB9H+o1qW3D0fq9Fpy5fJ4vh/ZGEGD2uCnsPZztA5+8nQ8AhNRvxtmEy/SYNhRBgBkDxhJ9+ggqrZquIR8zuvsgBs0bh8lkolPztvnaTEhICGfPZfsBAjOm5/GDX/L4wVdf0irEus9btWjJ2Qvn6N43u48mZ/eRSoVfbV92/fbmPgJo3bQFZy5f4IvQvmbfHjOZvUd/N+um/dv7tkQsYcj7nzFmdzgCAu18m1Ha7R1earKYf3gTsz4e8kaOFiHNuHDuMn17DEUAJk8fy+/RR1Cp1HTu+jEftW3NwN4jEEsk+Ph40aZ967du38cNO+Pq7MqPp7Yy78fprB25DZGTiJ0xO/gzw/bejqKKDy1C3uf8uYv07jEQEJgyfQIHog+iUqnp0rUjbdp+QP/eQ5BIJHj7VKdt+w/t8hTFGFdUNtPq/ZacuXierwb2BkFg5oSp7Dt4wBIf9v5KvcBgeg8faOb51xe0bt7ShqcoxriQes04l3iFb2YNN+ulz7fsP2v2yU9bfMzozwcyeOF4BJNAx/faUOadUjbtAGjVvCVnLpznq369AIGZE6dmxzw1frVrs2tPtkxDs2Xq9jmt8+imdZMWnLlykS9G9jP70uhJ7D32u3mcbNfJ7u/aQ0jdppxLusw3s0MREJjeewz7zx1FpVHzaYv2ZpkWfYcgCHRs9lH+MhWBDRdVHtKwuR9xF1OZ0H8FCAJDJnbj1MFYNCotH3RqxJcD2jBtaARSmYQ69b2payeOO/D/B07C33x+2/3797lw4UK+R9QWJRwXa+bH47hY0x4cF2vmD8fFmvbhuFizAB7HxZp24bhY0z4cF2vmD8fFmvbhuFjz30NRjBNvC5f6f98M1t9+D02lSpWoVMl2qYUDDjjggAMOOOCAAw444MBfxf/MxZoOOOCAAw444IADDjjwv4y/e2/L34X/iXtoHHDAAQcccMABBxxwwIF/Jv72PTQOOOCAAw444IADDjjgwN8P9bn7b65URJA3+vu2mPyjl5ypTt0pNIfre1Uwpj8vFIfYuwQA+uuF23wprV26yDbiH7w7t1AcH3qO53zt2YVuy7vXJ/KviBpvrlgAfhpgPrRh5aWvC8UzuP5mNBr1myu+AS4ucgx/FPKgg7Lmgw6ebrlSKJ5S3esWegM9mDfRZ6gfFoqjuLwCWmXh9euskBeJLwG8+j29UDzuH3kXmUzGB4U71EJcsRjPf7B/C/xfQYnPArjyZEeheeqW/rxIDm94sSvxzRXfgHe6+BXZoQBFcYhJYTdDg3lDdGEPF0iOfMiPKd8Wui3daoax5+a0QnF84mX+vjarcP7k7CYvNMdrnsvvLigUR73z5lNO1RcKl0DKG1YqMt9WHr9dKA5Fi6q8OnSj0G1x/6B6oQ8XcG1qvmqisLme63tVuPTn1kJxANQv81WhORz49/GPfqBxwAEHHHDAAQcccMABB8z4py7M+p94oDGZTMzZuozUezeRSaRM+WYknmUtR8mduHqWNXu3IhaJ6dTsI7q8b//uF5PJxIyVYaTcSkcmlTJj+HdUqVDZqo5ao6HvpOHMDJ2AV+WqdjlmRiwk9XY6UomUGUPH41neekpOrdXQb+pIZgwdj1elKvnKdTL+HJHR2xCLxXRo/CFdmlnfNfMiK5OJ6+eh1esoXawkU3uMRC6zXB5mMgn8uPQsD24+RyIV8+WoppSu6JFTfvTna5w9kIZbMfN3Ph/RhLKVi9ltS/EWPlQc3AzBaOLJrjie/HTVqlxaSkH1+R1xkorRP8ni5oQ9mDQGqzpOONH3vWlULVkLvVHH6hMTefzS8ganmfcnfBLQG5Ng4ljKzxxM2m7TDsEkcHTDbZ7eVSGWimjdtxrFy1lkfnwji1Nb7yIIoCgm5aPB1ZHIbLeSmUwmZs+eQ2pqKjKZlKlTp+Lpabl49PDhw6xfvx5womvXT+0eQ24ymZi5aC4pN9KQSaVMHzuZKpUs9rLv8AE2/7QdsUhMjereTB41Pt/L6mJSL7Ph5C7EIjEfBzWnQ13797v8cD6a51mZDGr1hd32zAr7npS0VGRSGdMnTMazskWm6IMH2LJjGyKxiBrePkz69jub9phMJubPWUxa6g1kUikTpn5LZU+LLx09fIKo9dtxcnKi06cf07GL/bt1TCYTs7+fQ0q2fqdNttZv9IH9bNm2FbFIRA2fGkz8boJd3RSVP51MOM/a38190aHRB3Ru0saqPCMrk4mbwrJ9qQRTvxqBi8z6Ir6ikMlkMjFjybxsm5ExY8xEqlS0E2O+HcrMbyfh5VnVrjwAp5IvseH4z4hFIj6uG0LH+vbvQtlxZh/Ps14w+MPuNmUmk4n1C/dxN/0xEqmE/uM7UK5SyZzyfTvOcGzvFTyKm4/B7jv2Eyp4lrLhKKzd5ch0/SLrj/xo9oP6rejU0P59WTti9vAsK4MhbezP2p6+eZVN5/cgFolo59eMT/yb2633U+whniszGdCsq41MM8PnkpKehkwmZfq31r4N2f00ejAzx07Bq0pVu/wmk4nZa8NJuZOOTCpj2sBv8Sxnsd/jl04TsXOTeWxq2Y6urT+xywMQUC2YMZ9OpMcC67a2DPiAwZ+MxGg0sPP0Dn46tS2ftgjsXR3P41svEUtFdBoaSMkKlpvU76e94MC6RAQB3N5xpuuoukhlYrs8u1Zc4tHNF4ilYrqNaEipCu455XdTnrEn0nyvnPs7cr4c29iGx2QyMXtuHl+qbMeXxNm+ND7/+FAUPADFmnlRvk8TBKOJZ3sSePqr9dUHkhKuVJvR3jzGPVVye8Z+m7bM2bSE1Ls3kEpkTO072joPuXKGiF+2IBGL6Ph+Wz5taT92QtH4NsCJuHNE7jPnPh2bfkiX96xznxdZmUxcOxeNXkvpYiWZ1nM0ijwcJxPOs3b/NnPsbPwhnZvaiZ0b51tiZ/eRdmPnnC1LLTlaz1G2OdpvWxCLxXRq1oYuze3naG/K5V68ymRC5Pc5OdG0XqORO+dti8CGRdHcTX+MVCqh77hPKFepRE559I6zHN93FY/i5qsVen/b3ibmOfD/B/8ThwIciz2DTq8jasIShn/ah0U/rckp0xsMLPwhglUjv2fd2AXsPBnN00z7S8yOnD2JTqdj+8JIRvUczPy1y6zKr6Vdp8e4Qdx9lP8Z30fOn0Kn07F1XgQjewwkbMNya470ZL6ZMIR7jws+J1xvNLBw5xpWDJ9N5Mj57I7Zb9PuyOhttGnQknWjF1CzcnV2nbIOsPGn76DXGRm99GM69KnH7ogLVuX30p/x9dj3CF3YltCFbfN9mHGSiKgyvjXJfbdzvcdmyvwrGGkp67BXvl8Tnv6awPWvN6O+8ZQyn9W14WlQ7QNkYmcm/vIZW88voEdj68sLezQax8x9PZn86+d8EtAbhczDhuPG5RcY9QKfTfej6WeVObXV8kAkCAJH1t7mg/5edJvqS5XAYrx6qrUr09Gjx9DptGzeHEVoaCgLFy7KKTMajSxZsoSIiAg2b45i48ZNvHhhe7b/kVPH0ep0bFu1gZEDhhG2IjynTKPVsGztKjYsiWDrqvW8UmZx/Mwpu20xGA0sPbiZ8K++Y8U3U/j1ylGeZWVY1dHqdUzfvZxdlw7Z5QA4euIYWq2OrWs3MWLIMMKW5mqPRsOyiJWsWxnBlsiNZGVlcSLGtj0njsWg0+pYF7WCwaH9WbJopZVeViyJZHnEAtZGLWfLph/IeGF/GdXRY8fQ6rRs2RRF6LBQFoRb9KvRaFi+cgXrIiLZvDGKV1lZnDh10i5PUfiTwWhg0e5Ilg+eyZrhc9l95gBPX+bxpQPbaVO/OWtHzKdmJS92nt5vw1MUMh2JOWGOMcvXM6rfEOavWmItT0oSPUb05+7DgpewGIwGlhzYyOJvJrGy93R+vXSYZ6+sbVSj1zLt56XsvHAgX55Lp5LR6wzMiOjHFwNbs2X571blt1IfMXhSF6Ys78WU5b3sDuxFYXc5Mu3dwJI+U1nVfya/XjhoV6apPyzm53P5y2QwGlhx8gcWdh7F0q7j2JNwkmdKazvVGnTMOhDJ7rijdjmOxOTy7f7DCFsZblV+LTmJb4b3497DguP40YsxaPU6tsxeReiX/VkQZfEnvcFA2KYVRExcyIbpS9l5ZA9PM57Z5enz0WBm9ViATOps9blELGH8Z9PoE/4FX4d9Srf3u1PKw/7FmtfPPcKgM9E/7D0+7FGbA+uTcsoEQeDX5XF0Hh5Ev3nN8Klbhow/7S/rSjx7H4POyLDwD2nfK5A9kbFWPD8vvcBno95l6MIPqFW/PC/+tF2WePT4MbRaLVs2vsGXNhQcH4qKB7GISiNakjb8J1IH7qBUp0AkJVytqpT75l2e7UskdcAONLeeUbpzoFX5scun0ep0RE1dTuhnfVm0bXVOmd5gYMHWVaweN491E8PZeWwfTzPs5yFF5dt6o4GFP61mZegc1o4JY9cpOznE3q20adiS9d8uopanNztPRtu0ZdHONSwfOos1I+ax+/R+29i5fztt6rdg7cgwalaqzs4Y29h5LPa0OUebuJThXfuw6IcIK90s3LGaVaPnsm7cQnae2Gc3R3ubXG7Nni20fTeE9eMWUdOzOjtP7LPhuXwqGb3WwPTVffhsYCu2rjhoVX479TGDJnVk0rJvmLTsm//OhxmT8Pf9+xvxP/FAE5t+jSb+9QEIqF6bpNuWizJvPbpL5TIV8FC4I5VICfb2Izbtml2eK0lxNKvXCIDAWv4kpl+3KtfpdSydNBevyvnPqsRej6dp3XfNHDX9SUxPtuFYMn4O1Sp62vt6Dm4/ukfl0hXwcDW3O8jbj9gb1mvNr95IpIlvPQCa+tXnfHKsVfnNxD/xbWB+C1LNtwx3U60Hy3upzzi0I57wEfs4uD3/9bsuXqXQ3H2B8aUGQW/i1ZV7uNezflt59/tDPP0tAZxAVt4D/VPbQax2uXrE3jMnM2l/xlG9dB2r8jvPU3CVuSMVywAnBGyd5WHKK6oEmh+8yvu48ccty+9kPNLg4i4h9sBjfp55HU2WkXcqyO3KFBsbS5MmTQEICAggMdGiW7FYzO7du3F3dycjIxNBEHB1dbXhuJJwlWbvNgYg0K8OiSkWe5FJZWxZuR65i/ntkNFoxFnmbMMBcPvpAyqVKIuH3A2pWEKAZ03i7lrbjdago03A+/Ro1skuB8CVuKs0a9zE3B7/AJKSLQmLTCZj85oNyF3M+jAYjTg7y2w44mITaNS0IQB1AnxJTrT4klgs5ofdm3BzdyMz8yWCICB3zUe/V2Npmq3fwIAAkpIs+pXJZGzesAm5XJ6tGwPOMtu2QNH4063H96hcqnyOLwV6+XI1ry/dTKJxbbMvNfGtz4WUq/8nMl25dpVmDbJtxtfaZszy6Fk6I6zAmRmA208eUKlEObPNSKQEVKnF1Tt5dGPQ0zaoOT2b53/JcUr8XQLf9QbAx78yN5Ot91HdSnnIr1tOMW3QOn7ZbD8ZLAq7A7j1530qlbTIFFi1Nldv59GPQU+74Bb0bPlpvjLdef6IisXL4O6iMPtTBR/iH1pfnqwz6PmodmO+bmj/LfmV+Ks0a2jftyHb7maF4eWZ/1gAEJscT9Mgsz8F1vAj6UaKRd4Hd6hcriIebtljU80Arly3H4fvPbnNsFV9bT73KufD3T9v81KVid6o53LaBer5vGuX4+7153jXLQNA5VoleJCekVP29IESV3cZZ3+7ybrvTqN+paN0JTe7PLcSn1CzXnkAqtQuxb00S1L55MErXN2dOflLCiu/PYzqlZYylWxfTFn5Up03+JKhgPhQRDzyaiXQ3s/A+EqLYDCRFXcftyDrmeD74cd4fiDJPMaVdUf/3HqMi01NoGlAAwACvH1JvJWrrx/eoXLZipY8pIY/V1LsX35dVL5969Fdcw6hyJVDpFvnPlfTE2niZ86dmvrV58J16xzi1mPrPCSwuh9X023zkMa+b4idaYk08c/WTXXfgnM0H39iU2118za53NX0xJxcsGmdBpzPIw+8jnnVAfDxq8St5EfWv5P6iF83n2b64A38urlw+/L+F/Dy5Uvu379v8+/lS+uLpA8fPkxUVBQ///wzer2e5cuXs2DBAjIz335vaaEeaG7evElERAQrV64kOjr6zV+wg/DwcB49esSlS5esOHr06MHKlStZsmQJu3bt4v79+2zcuPHf+g2lWoWb3DJjIBaJMBiN5jKNdZmriyuvVPY3smaplLgpLEFcJBJjMFqWTdX1DaR86bIFtiVLpcTd1fJ7IpHImqN2wBs5ALI0StxccrXbWU6W2rrduWVzdZGTpbEu1yh1uCgsAVwkcsJoNFna0rIan4U2YVhYG25c+4Nr5+zfdix2k2HMssx0GJU6xO4uNvWcxCICfuuPR8MqvIq15ZJL3VDpLBtuTSYjIifLUoR7z9OY12UXi7pFc+XuMau6r6FTm3CWW77jJHLCZDQ/+KhfGXiU+oqA1mXp/F1N7iVmcveafWdRKpW4u1v6WiwWYzBY+kkikXD48BG6detGvXr1kEhsV28qlUrcrexFlMMhEokoVcK8dGfrzh2o1GqaNLCfaCi1ahTOlgcmV5mcLK3Kqo6H3I13qwfY/X7u9tjYb+72lMxuz487UKlUNG7YyA6HCje3XPYrFmEwGHP+lkjEHDtyku7d+hJcLwCJxHZJCkCWUombW662iK3bUjK7Ldt2bEelUtO4UWP7PEXgT3ljgMJZTpZaZVsn299cneVkaazLi0ommxgjziOPfyDly7w5Pii1KtxcctuMC0p7NuMdmPerVlArtbgqLL4sEokw5urvxq386TPmYyYt/YaU+LtcOZ1iw1EUdmeWSY0it0zOtjHNQ+7GuzWCCpRJqdOgkFketOUyF5Ra69kGdxcFDar458+hyt+3AerWCaJ8mXIFtgMgS63CLR/7zVJb27ZCLs93bDp4JRqDUW/zuZvcnVdqS5xUapS4y20fIAC0KgMuCkscyz0eqF5quZv8nIbtqtFzZmNuxj/lRpz9gzk0Kj0uCqldHmWmltvXn9KkvQ8Dvg8h7eofpMXaHpCQlZXHl0QF+JK6gPhQRDwihbP1GKfSI3az8wJKJMJ3ey/c61VGGW/98K/M09dikdiSh+QpU8jlZKmz7LalqHzbJu652OYQWRplrhzCNZ8cw9IWhR2ftIqddn4DQKlW5p+jqfPmaHJe2eN4i1wuN5fCjjwAaqUOea6+FYmcMBoseVGjVn70GdOeiUt6kBp/lyunU204/uPxN87QbNq0iVatWtn827Rpk1WTkpKS6NGjB3/88QfXr1/H39+fjh07cv78+bcWq1B7aKKjoxk6dCgAFy5cIDIykufPn+Pj48OdO3eoWrUqGRkZqNVqKleuzPPnz0lMTKRjx47ExcUhk8kYOHAgCxcuRKFQMHLkSIYPH063bt0QiUTo9Xr0enOQFgSBS5cu0bNnz7/cToXcFVWu06tMgoBEbE60FC6uKHMlJyqNymoQyQ03VwXKXA4gmExIxH9NhWYOy+8JgvCXOFb+tomrNxJJe3AL/6q1LO3WqnGXW7db4eKKSqvGReaMSqPGXW79Rs1FIUOrtgyCgiAgFoty/t+yix/y7Acev3crcT/9Gf6NLDMvlUKb4163Mq41ypCVK3iLFTKMLzU2bRcMJuI/WYNH46pUn9uB6z22WJWr9VnIpRYZnJxEmARzUPMsUZO6ni0Ysj0EjV7FsJAFNPJqw7mb1lPqMrkIncaScGESEImdzPK6Syhe1oWSlczJTJXA4vx5S4Wnv+1SOoVCgVJp6WuTyWTz0NK6dStCQloyefIU9uzZQ6dOnWw5VHn6OheHyWRi4aql3L53h8Uz5+Pk5GT1/fDwcM7vP0H6H3fxq+id87lKp8bd2b6NFgRze/KXyWQysWj5Eu7cvUP43DCb9pg5XFEpVXk4rB9aWrZ6n+YtmzFjylyi9xzkk05t89LgplCgKkC/JpOJRUsWc+fOHRaFLbDbFiicP4WHh3Ph8GnSH97Cv0rNnM+VWrXVwAh5fMmOrxWVTLYx5q/Fh4jD24m7m0z6H3fwq+iT87lKp7FKgt4WcoUzapUlkRMEAXF2fwuCQLtujXF1Mz/wBDeuwe20R9RtWtOKo7B2t/rgNuJuX+fG4zv4Vs4lk1aNu8vb+8HaM7tIeJjOjaf3qF3OK+dztU6Dm/Nf043CtWDfflu4yV1R5bJfUy77dZMrrMYmpVpt9RD1NshSv0LhkjtpVfBKZf8ljrOrBK3a8lCWezxw9ZBRoryCMp7mvTA+dcvwMD2D6oG2y9dcXKXWPCYLj8LDmVIV3ChXxRxza9Uvz/305/gEWz/8ubnl8SUhH1+6e4dF8wuID4XkqTCgKW6BlZB7l0KZaHnwErtKrR5wcmA0kfT5BtwbeFJ1qnXcU8hdUebOQ0wmSx4id7WKY0q1GndX674uKt9e8ctGcw5x/yb+1Sw5hNJOjuDmokCleZ1DWB66Vu7jt05FAAEAAElEQVTZxNUbSebYWTVv7LTmsM1DbH1WIVfkn6PJ8+Zo1roJDw/n4tEzpN2/hb9XzVz1bHM5cy6owkXmjFKjstExgFwhQ6PSWbVFLLHkRW3/9W5OzAtq4sOdtMfUbVq4k1r/yfjmm2/o3LmzzeceHtYvVsRiy7giEolyfNFkMtl8Nz8UyZKznTt3smzZMlxdXXnyxPzWpmvXrpQuXRq5XM7jx4+5d+8e33zzDWXLluXkyZO88847PHv2DLlcTvXq1enQoQMA1atXp1mzZtSrV4/Q0FCyssxvKZycnKhZs2a+bSgIQd5+xCSY94fE37iOd8WqOWXVynty988HZGa9RG/QcyU1gcDqvnZ5gn0DOHXxLABxydfwqVr9L7cluFYdTl0+Z+ZIuYZPFa83fMMagzt8w5qR8zk4bzv3njwkU/nK3O60awR41baqG+TlS8y1iwCcTrxEsLefVbmXXxkSz5vX4t9K+pPy1d7JKdOo9MzptxutWo8gCKRdfURln5JW37+/5ATXv9nClfcW41LlHcTFXHCSivCo78mrq9Zrx6tOaYNHQ/PyC6NSZ3dtZfLjy9T1NG/O9SkTyN3nljcfKt0rdEYNOoMWk2DipfoZbs62DyLla7hz+6p5wH6UlkXJypZAX6yMM3qtkYzH5oeth8mvch5u8iI4OIiYGPN0cnx8PD4+lgEkKyuL3r37oNPpEIlEyOVyuxtJg/0DOXnuNABxiQn4eHlblU9bMAetTsuyOQtzlp7lxsiRI1neYwp7R63m/os/eKnOQm80EHcnGf9KPjb134TggCBOncluz7V4fKpbt2fG3NlodVqWzF+UswQoLwKC/DkTY35jkhCfhLePxX6zspQM7BOaRy/2E42goCBOnTbrNy4+Hh9va3lmzJ6JTqtlyaLwnCUhdmUqhD+NHDmSNcPncnD2Vu49fZTjS7Hp1wjINdADBHrV5nSS2ZfOJF0iyMvPhq8oZAr2D+TU+TNmjqQEfLz+WowZ0PoLVvaeTvTYtdx//phMlVmmq7eT8K/81wfdGnU8uXouDYC0a/eo7FUmp0yt1PJtjxVoVFoEQSDxyi2q1bQ9Rriwdjfwwy9Z1X8m0RPXc/+ZRabYW0n4e779mNC3SReWdB3LL/3CeZDxJy812f70MBW/8n9Nz8F1Ajl5PpdvV/N+wzfsI6hmHU7Fmv0pLjURH89qOWXVKlbh7qP7OWPT5etxBNawtbuCcPNxGlXKVKOYa3GkYikNajQi9uZlu3U9a5cg7dKfANxLfk7ZKpaE452yCnRqI88emsfj24nPKONpf6anqm9pki+aX3Dduf6UctWK55SVKKdAqzbw9KF51ujmtSeUrWIbx4MCc/lSQj6+pNOyZGHB8aGwPA8jTpM6+Afi2q7CuXJxxB4uOElEuAVXQplgPQNT+dvWuGUvtTaqdJDnJKmgGv7EXDX3dXx6Ej6Vc/V1hSrc/SNXHpIST4C3dR5SVL49pFNPIkeHcWjBD9k5RPZvpiXY5BCB1X2JuWbOnU4nXqKut3nWcvAn37BmxDwOfr+Ne0/eFDt9OZ2YK3Z62858mnO0bN3cSMK7Yi7dlPe01k2eHG3kyJGsHbuAw4t+4N6fDwvM5QK9/YhJyM6JEi4S7GPblhp1PLl61nycf1rifZuYN+6b1WhUOnPMu3ybajXLF6Tu/0gIgvC3/fPw8KBSpUo2//I+0FSvXp1NmzZRqVIlatSowfnz59m/fz9NmjR5a7kKNUPTtm1bwsPDUSgUOT/6+q22k5MT6enpSKVS1Go1FSpUYPPmzTx69IiPP/6YlJQUypY1L51wdnbG2dk8xfc6Mbx48SKrVq2ymi6+ffs2giDk+zYmP4QEN+Vc0hW++X4EgiAwvddo9p8/ikqj5tPm7RndbQCDF09AMJno2KwNZd6xv8mrdePmnIm9wJej+yEAs0dMZO/x31Gp1XRr2+mt2tKq0fucibvIV+MGAgIzh01g34mDqDRq/vVRx7eWSSqWMOrTfgxdNhGTINCxyYeUKV6KTOUrZm5ZzIIBk+nT9gumRi3kl9MHKO7mwexe46w4AppWIfnyQxaF7kUQ4Ksxzbh09AZatYGm7WvySa96LB1zAIlURI3gCvi9W9luWwSDiTtzD1Mr8gucRE482RWH/s9XiIu54DWzPWnDd/J480WqTWtrPgnNJHBrhu1mxQu3DhFQqSmzOu7AycmJFce/o5n3x7hIFRy+/gOHknYws+N2DEY9j1/e5XjKLhsO7/rvcDchkx+nJSEIAh8M8CL59FP0WhN1QsrQup8XB1bcQAAq+LhRLbi4XZlCQkI4e/YcPXr0QBBgxozpREdHo1Kp6Nq1K+3ataVXr95IJBJq1PChfXvbtfat32/J2Uvn+WpQbwQEZo2fyt5DB1CpVfjX9GXXvl+pFxBM7xEDAeje9Qtav9/ShkciljDsg+6M3Po9giDQPqgFpT1K8FKdxfd71vB9t1F2ZciLVi1acvbiObr364kgCMycNI19v+9HpVbhV8uXXXt+oW5QMH2GDDC357MvaNUixIqjRch7XDh3mb49hiIgMHn6OH6PPoxKpaZz10/4qG1rBvYORSyR4OPjRZv29k+hatUyhHPnzvF1T7N+Z06bzr790ahVKnx9/dj9yy/UDa5L3wH9APjqi69oFRJiy1ME/iQRSxjZqS/DVk3GZDLRoZHFl2ZtX0JY30n0+fBzpm1ZxO4zv1Nc4cHsb8b+n8jUulkLzlw+z5dD+yAgMHvsFPYeOWCOMR/bvuUqSKbhbb5hZNRsTIKJj+uGUMajJJmqV3z/62rmfvF2d480eL8WCRdvMGXgWhAEBkzoxOmD8WjUOlp1rM/n/Vszc/hGpFIJfvWrEdzYNrEqCrt7LVNo+56MWD8DkyDwSf1WlClmlmnOrpXM6z7O5jv56WbI+58xZnc4AgLtfJtR2u0dXmqymH94E7M+HvJGjtbvZfv24N4IgrVvd+uQ/74FG900fI9z8Zf4etJgs24Gj2dfzCHUGjVdW3dgTI8hDJw9BpNJoHPLdpQtYX9Df1583LAzrs6u/HhqK/N+nM7akdsQOYnYGbODPzPs34FTu1F5blx9wpqxp0CAzqFBxJ24j05toEGbqnQeFshPC6+AAJVrv0PNBvaXPvo3qURq7GOWjToEgsBnoxpx5dhtdGoDjdp5021EQ7bOO4MgQFXfUvg2rGjD0aplCOfOn+PrXtm+NDXbl9QqfGv7sfvXbF8amO1Ln+cTH4qIB6OJ+4uP4bOkK4jg2Z5r6J9kIfZwocqED7k5/jf+/PEKVcZ9AH0EBJPA3fmH8fuhdw5FSL1mnLt2mR7ThwEC0/uNJfrMEVQaNV1DPmbMlwMZNH88gmCi4/tt8u3rovJtqVjCqK4DGLJkIibBRMcmH1HmnVJkKl8yI2oxCwdNoW/7L5myIYzdMfsp7ubBnD7f2bRlZJd+DFsxCZMg0KHRB5bYuW0JYf0m0afN50zbvIjdZw5QXFGM2T1tY2dI3aacS7rMN7NDERCY3nsM+89l52gt2jP684EMXvQdgiDQsdlHdnM0qURiN5fLzHrJjE3hLBwylX7tv2TK+jB2nYymuHsxvu833oan/vu1SLh0k2mD1iMIAgO+68jpQwlo1TpCOtSjW78QZodGIZGK8atXjaDGf/3logO2aNPG+nS8sWNt7eRNcBL+pgOpjx49yh9//IFYLKZbt25/x086LtbMB46LNe3DcbFm/nBcrGkfjos184fjYk37cFysaR+OizXzh+NiTftwXKz570F58vbf9luK96v+bb/1t91DE2LvrYcDDjjggAMOOOCAAw448Pfg7bel/Ffhf+LYZgcccMABBxxwwAEHHHDgn4m/bYbGAQcccMABBxxwwAEHHPj/B+FvvvDy78LftofGAQcccMABBxxwwAEHHPj/h6yjt/6233ILqfbmSkWEf/QMjfpc4TbiAcgbVeLlgbRCcXi0MZ+CkaXJKBSPm0vxQm82B/OG821JIwrF8aXvYm5P+LXQbak6pyNH7y8qFEdIJfMpX3ezzhWKx9OtEU9Uhb8kq7RrjSLZ2ApFs2ld99L2Esi/CpmHK+mZxwvF4V2sBamZRwrdlhrFWqF/bv/SubeFtIT59MSnUZcKxVOqR30SnhXeD+qU7Ijx4cs3VywA4goeRTJQuYVUI+6Z7QmCfxWBJbugfVU423N2dy30oSxgPpjlZXThfNujnfnwkqfqwvlkKbk3L9WFO9QCwENeutAb+rvVDCv0wQJgPlzgw3lVC8VxcNxtoGgOBSiqmHd/3qFCcVQaZz7lUXO5cAequNSrgC7+j0JxAMgCyhbJAQWFzYnAnBdpYx8VisM52HxkclGMk4U9VAjMBwv9V+AfOo/h2EPjgAMOOOCAAw444IADDvzX4h89Q+OAAw444IADDjjggAMOmPFP3UPzP/FAYzKZmBO1hNS7N5BKZUztPRrPspbLvE7EniHi1y1IRCI6vt+WT1vYXpL4GievnWftgR1IxCI+efcDOjexvgwoIyuTSVEL0Oq1lCpWkqlfhpL7PlSTycTc2fNJTU1DJpMxeeoEKntaLqw8cvgoG9dH4YQTnbt2onMX+5cDmkwmZi6aS8qNNGRSKdPHTqZKJQvPvsMH2PzTdsQiMTWqezN51Hib2+wFk8C+iET+uP0KsVREhyH+lCivyCl/kJbBwQ3JCAK4vSOjy4hAJDKx3fbIa5WleEhNBJNA1qW7ZF2yPhdeXExOqU+DcRI5gRM83R2H4an1siGTSWDHklPcv/EMiUxM99HNKVPRcov04Z/iObM/GbfiLgB8OfJ9ylUubqOXpXOjuJl6F6lMyqjJvalY2fYCuPBZ63H3cKPvcPt3IplMJhbOWUV66i2kMinjpwyjkqft0ox5M5fj4eHGoNCedjlmz51DSmoqMpmUaZOn4lnZM6c8+sB+tmzbilgsooZPDSaOn2DTR69xMuE8a38392eHRvbtbuKmMLR6HaWLlWDqVyNwkbnYtGfWvDmkpKUik8qYPmmKdXt+38+W7dsQiUTU8PFh0jjb9phMJlbO286ttHtIZVKGT/yaCpXLkBdL52zG3UNBr6H2Lxk0mUysmreDW2kPkMokDJv4lV2e5XO24uahoOfQTvnyzAybS2p6KlKpjBnfTcazssUPog8eYPMP2xCJxNTw9mHyt7Z+ABCTeoUNMbsRi0R8HNicDsH2j5n/4cJ+nmdlMijkc7ttiVywmztpj5DIJAz6rivlK1kugNuz/SRH9l7Eo7jZxwaM7ULFKmVsOGYsnpfj1zO+nUSVitYX2qo1GvqOGcLMsZPx8qxqt50AJ+PPERm91WwzTT6iS7O2VuUvsjKZuH4eWp2W0sVLMrXHKOR2bGbtgl+5k/YIqUzCwO+6UC6XTHu3n+Lo3ks5MvUf25kKVUrbcMyea7G7aZOn2PrB9m1mP/D2ydcPTCYTM1aGkXIr3ayb4d9RpYId3UwazszQCXhVLkA31y6w9uB2JCKxOY43/shuvW0nfuXZyxcM+6SnTVsWzFlJeuotZFIp46cOtx8fZizFo5g7g0J72eU3mUzMm7OQtFTzJdSTpo6nsmelnPKjh4+zcf0WnJyc6PxpBzp1+cQOh8De1fE8vvUSsVREp6GBlKxguZD6ftoLDqxLzI7jznQdVRdpPnEcIKBaMGM+nUiPBV2tPm8Z8AGDPxmJ0Whg5+kd/HRqm93vO+HEsA9n4VWmNnqjjvD943iYYRkPWvl15l8N+6PUvuLQtZ85EP+jXb0URewsipj3Gi7VS+HR1AvBJKBKeIgy7oFVudjdhXfa+ZrHOJx48XuSrUwbFpN65wYyqZSp/b7Fs5wlDzl++QxrdkchFonp1KItn4Z8bLcdJpOJWWsXkXLbzDN94Fg8y1eyqqPWaug/cxTTB43Dq2IVuxxzNmXnRBIZU/vmyYmunCHily1IxNk5UcuizYnsjU2z14eTcucGMomUaQO+xbOcRabjl88QsXMTYrGYTi3a0bWVfd0UxTgpmASObrjN07sqxFIRrftWo3g5S53HN7I4tfUuggCKYlI+Glwdicyx2Ok/Af8TvXDsymm0eh1RU5YT+q++LNq+OqdMbzCwYNsqVn87j3UTwtl5fB9PM+yv2TYYDYTvXsvywTOJGDaX3Wd+5+nLF1Z11v6+g4/qNScydD41K3qx6/QBq/LjR0+g1enYuHkdw0IHE75wSU6Z0Whk2ZIVrIxYzobNa9m8cQsvXmTYbcuRU8fR6nRsW7WBkQOGEbYiPKdMo9WwbO0qNiyJYOuq9bxSZnH8zCkbjuTzf2DQm+gzrzGtv67BwQ3JOWWCILBn5TU6DqtD7+8b4R1cmown+axtFjlRor0/f6w/y+PIGNwbVkHs5mxV5Z0PavHq7E0erz1NxvFU3vmotg1N3Olb6HVGxi7vTKe+77Jz9Vmr8ntpT/hmfEtGLerAqEUdbB5mAE4fv4JOq2fpxin0GfYvIsK329TZu/MYt9ILXkd86tg5dDodEVELGDj8G5YvWm9T55ef93Mz7Xa+HEePH0Or1bJlYxShw0JZEG7ZK6TRaFi+cgXrIiLZvCGKV1lZnDh10i6PwWhg0e5Ilg+eyZrhc9l95gBPX1rbaOSB7bSp35y1I+ZTs5IXO0/vz6c9Orauj2LE0OGELbZuz7JVK1m3eg1b1m8iK5/2nD1xFZ1Oz8L14+k5pDNrl/xsU2f/rpPcSX9g83lunDsRh05nYMH6b/lmSCfWL7Hds7F/1ylupxe89vzIyePodFq2Rm5k5OBhhC3L5QcaDUvXrGT9igi2Rm4gS5nFidO2fmAwGlh6eAvhX4xnxdeT+TX2GM+yMqzqaPU6pv+6kl2X8l9Tf+FkInqdgTmRQ+k+qC2blu61Kr+Z8oBhkz9jxoqBzFgx0OZhBuBIjFme7SvWM6r/UOavXGxVfi0liR6h/bn7sGD71RsNLPw5ghXD5hA5KozdMdE8zcxjM/u20qZBC9aNWUjNytXZdSrahufiyST0OgOzIwfz5aA2RC21rnMz5SFDJ3dj2or+TFvR3+ZhBrLtTqdjy4YoQocNt/WDVStZF7GGzes3FegHR86eRKfTsX1hJKN6Dmb+2mXWukm7To9xg7j7qGDbMxgNhP+6luUDZxIx9Ht2nz1gE8c1Oi2Ttyzk55h9djlOHjuLTqtjTdRCBob2ZNmitTZ1fvl5PzfSC77w7/ixU2i1OtZHRTA0dCCLFy3PKTMajSxfspqVEYtZH7WazZu2kWFnPLh+7hEGnYn+Ye/xYY/aHFhvSaQFQeDX5XF0Hh5Ev3nN8Klbhow/89+j0uejwczqsQCZ1Dp+S8QSxn82jT7hX/B12Kd0e787pTzs32TfpMaHyCTOjNjShXUn5tE/ZFJOmYf8HXq+N5pvt3/OmG2fEeLbibIelWw4iip2FkXMA0DkRPFWNXnywxWebLuEIrAiIoXMqorHe9XJunKPJ9sv8/LcLYq9723dlksx6PQ6Ns9YQejn/Vm4dWVOmd5gYMGWFaweH8b6KYvZeXRvvnnI0Yun0Op0bJ2zihFfDSAsaoVVeeKNZHpOGca9x/nHzmOXT6PV6YiaupzQz/qyaFuenGjrKlaPm8e6ieHsPPZ/mxO91o1Wp2PLzJWEftmfBZtXWbUnLGo5ERMWsGHqEnYe2cPTjGd221IU4+SNyy8w6gU+m+5H088qc2qr5fJPQRA4svY2H/T3ottUX6oEFuPVU20+Wv4Phkn4+/79jSj0A83NmzeJiIhg5cqVREfbDohvg8ePHxMeHk54eDhHjx4tbJNsEJuaQNM6DQAI8PYl8VZKTtmth3eoXLYiHgp3pBIpwT7+XElNsMtz6/E9KpUqj4erG1KJlCAvX67esL7F+urNJBrXrgdAE996XEi9al0eG0eTJo0AqBNQh6REy0OEWCzm590/4O7uRmZGJoIg4Ooqt9uWKwlXafZuYwAC/eqQmHI9p0wmlbFl5XrkLua3CkajEWeZsw3H3esv8A42v22tVPMdHt6w3FT+7KESV3cZ5/bcZuPEc6iz9JSq6GbDASAt447hmRKTRg9GAc3t5zhXLWlV53l0IqoU86ZGJ5EIwWB7s9ONhMf4NjC/cfXyLcudFOuNs3fTnvL7tlgWhP7KgW2xdtuSeDWVBk3qAOBbx5vUJOtN0knx6VxPSKd9l5Z2v/8a8bFJvNvE3I/+AbVITrLeBHktLpmkhBQ6dm1j7+sAxF6NpWmTpgAE1gkgKcliKzKZjM0bNiGXm/vXaDDgLJPZ5bn1+B6VS5XHw9Vso4FvtLv6XEi5asNzJS6WZk2aWNpz3ZL4yGQyNq/biNzF3B6D0Yizs63NJF1Np15jPwBq1fEi/bp1wnY9/gbJ127Spsv7+erFzHODeo19s3mqkZaHJzn+JinXbtGmS7MCeWLjrtK0UbZM/nVIzCPTljUbcmQyGgzI7Oj49tOHVHqnLB5yBVKxhIDKNYi7l2JVR2vQ06ZOM3o0tT9jCpAcd5ugd2sCUMO/CjeTrR86bqY8YHfUMSYNXMmuKPtx7kpCHM0aZsvjW4fE1OtW5TqdnqUz5xc4MwNw+9FdKpeukBPXgqr7E5t+zarO1RuJNPGtD0BTvwacT7b1KbNMNbJl8uRGsvXDwq2UB+yOOs7kgavZHXXcbltir8bStHEBdrfeYnfGfOwO4EpSHM3qmWNnYC1/EtPz6EavY+mkuXhVtn0jbdXmP/LE8Wq+XL1p7U86g5729VvS6wP7M7jxsUk0aporPiRab0q+FnedxPhkOn6af3wAiIuNp0nTdwGoE+DP9TzjwY+7t+Dm7kZm5ksQBOR2xoO715/jXdf8cFy5VgkepGfklD19YI7jZ3+7ybrvTqN+paN0JftxHODek9sMW9XX5nOvcj7c/fM2L1WZ6I16LqddoJ7Pu3Y5/Cs14NKtEwAkP4ylRrk6OWXli3ty48/rvNJkIiCQ8iie2hWDbTiKKnYWRcwDkJZUYHihQtAawCSgvZ+Bc6XiVnUyj6WiufEUACcnJwSj9RgXm5JAk4CGAAT4+JJ403JIRU4e4padh9Ssw5XkePsyXU+gWbBZ94E1/Ei6YR2rdHo9S76dRbWKnva+bm5LagJNA94yJ6rhz5WU/7ucCCA2OYGmQWbdBPr4kXQzV3se3KFyuby6sW1PUY2TD1NeUSXQvDKkvI8bf9xS5pRlPNLg4i4h9sBjfp55HU2WkXcq2M/RHPj7UeglZ9HR0QwdOhSACxcuEBkZyfPnz/Hx8eHOnTtUrVqVjIwM1Go1lStX5vnz5yQmJtKxY0fi4uKQyWSYTCaGDh2KVCrl0aNH/Pzzz7x8+RKZTMa9e/fw9vbm4cOHiMViunbtSrly5f5SG5VqFW5yy1IqsUiMwWhEIhaj1FiXKeRyslT2T1DKW9fVRU6WRmlbx8XVXO7sSpba+rSVLKUSN3fLgCISizAYDEgk5q6QSCQcPXyMud+H0ey9pjmf27RFqcRdkYtHZOERiUSUKmF+oNi6cwcqtZomDWwHH63agLOrNOdvJ5ETJqMJkViE6qWeeykvaNuvNiXKK9g++zLlq3vgFVDKhkfkLMGkMeT8LegMiFys221S6czylXLjnbZ+/Lnlgg2PWqVHnuutl0gswmg0IRabn7vrtaxOi45+uLjKiJh6kISzd6jT2Dp5UWapUbhZAoxIJMJoMCKWiHn2JIOoiN1MWzCcE4dsf9+KR6lC4eZq1RaDwYhEIubpk+esj9jGnIUTOHooJl+OrCwlbm65+0hs1UclS5r7aNuO7ajUaho3amy/LXlt1FluY1dmuzPXcXWWk6WxPeVHqVTipsi/PaWy27P1h+2oVCoav9vIhkOl1OTRr1OOfp8/zWRb5F4mhg3i1OGCTw9TKTW45tNPZp59TAgbQMzhywXyZCmzcHez709WfvBTth80tJVJqVOjcLa0xVVmqz8PuYJ3vQLYF3ci37aoVRpc3SxLE0Rii0wATVsH0ubTJsgVzoSNj+LS6STqN/W1lkelxE1h6WuRSITBaEAiNvtT3TqBBeojh8derFLbiVXyXDaTp9wskzaPTE5WMjVpHcBHnzbGVeFM2PgtXD59nXpNrWdfs5R/xQ/s2x281k0enty68X073eSO0WA/jnu4utGoVl32XDhsn0OpQuGWa0zJEx/Wrd7G94smcuSg7YygNY/SisfueHDkBPO/X0Sz9xrbHQ+0KgMuCsvnIpFTTtxUvdRyN/k57fvXoWQFBVtmnqeCd3GqB9qfXTl4JZqKJW1nTNzk7rxSW07YVGqUuMs9bOoBuMrcUGotdU2CEZGTGJNg5MHzW1Qp5UNx11KodVkEV2nCgxc3bTiKLHYWQcwDcJJJMGlzj3FGnJylVnVMaj0AkhKuFAvx4dmuOFx9y1vaolbh7po7DxHl5CFZKhVurgX7q4VHaVU3b4wIrlXH7vesOax/zyonylOmkMvJUv/f5UQAWWolbvI8+Uy2TFlqJe65yhRyV17ZydGKapzUqU04yy1LMs15kYBI7IT6lYFHqa9o0aMKxcs589uCVMpUc8XTv5gNz38y/qm3tRTZHpqdO3fyyy+/0KZNG1JSUvDx8aFr167cuXMHrVbLrVvmN+WDBw9m4cKFnDx5kqpVq3L37l2KFSuWs2718ePHuLm5YTQauX37Nq6urvzrX//i119/5caNG+h0ur/cNoXcFaXGMs1uEkxIxGaDVbi4osxl1Eq12upBAWDVvs1cvZlI+sPb+FWpmfO5SqPGPZcDveZTadW4yJxRaVU25W4KBUql5fcEk8lmkApp3ZIWIc2ZNnkG+/ZE06GT7bpphUKBUpWLRxCseEwmEwtXLeX2vTssnjkfJycnGw5nuQRd7gcRQUCU/fDg6i6lRDlXSld2B6B6cCke3Xhp9UBT/INauFQpibScB9p7lmlmJ5nEPFuTBy5epSjRIYCnP12x2T8DIHeVolVbvieYhJyHGUEQaNWlDvLspWz+73pyL/2pzQONwk2OWqmxkul18nXy8AVeZrxiYugiXjzNRKPRUrlqeT7q8J5NWxQKV1Qqi80IJgFJNs+xQzFkZLxkzLDpPH/2Ao1GS5VqlWjXobUVh5ubApXSEtxNgsmmjxYtWcydu3dYNH+BTR+Fh4dz4fBp0h/ewj+X3Sm1aqvADXntztYuzTJZ24zd9iw1tyfcTnsAXBUuVvo15dJvzJHLZGZmMW3EMl48y0Sr0VGpajk++LjJG3kEK54rvMzMYvqIFbx49jKbpyytP7ZNWtwUbihz6djcT3n8YPkS7ty7S/j31n4QHh7O+egTpP95F78K1XM+V+nUuOdKeN8WclcXNCrL8gOTySKTIAi0/6xZzsNg3Sa1uJX60OaBxs01j1+bhJxE5W2w8teNXL2RSNqDW/hXrWWRSaPG3dU6rilcXFFpctuM7Zt7uasz6lwyCXZkev3AU7dJTW6lPrR5oHFTKFC9jd3dse8HOTyuCpTq3H1t+ku6WRW9mas3k0h/dBs/zxo5n6s0atxd8p+1sAeFwhWVMteYYjJZxYfMjEzGDJ3Gs2cv0Gq0eFatRPuOH9jhUaBS5unvvONBq+a0aPke06fMZt+eA3ToZL2fwdlVglZtHcdfx01XDxklyiso42mO4z51y/AwPSPfB5r8kKV+hcIlV7LoouCVKtNuXZUuC7nMUtfJSYRJMJp5tC+JODKTKZ1X8fTVY9L/uEam6oUNR2FjZ047CxnzPN6rjnOl4khLu6N7ZJHXSSZG0NqOcc6e71D8w1o835uI4bl1smzOQ/K0JTsPcXN1RaW22JM9f7XwKFCqc/P8tRhhaUse+32dE8ldrfiVatu2FGVOBOAmV6Cy0Y0kp8w6R1NZtaeox0mZXIROY7R8YDI/zAC4uEsoXtaFkpXMcbxKYHH+vKX6r3ug+aei0EvO2rZtS3h4OM+ePaNJ9tTu6wTDycmJ9PR0jEYjarWaChUqsHnzZh49ekTjxo15+fIlZcuWpWPHjixdupTw8HAePHhAeno6er0erVab86Dz4MEDZDIZz57Zrp18E4J8/ImJPw9AfHoSPpUsF/1Uq1CFu388IDPrJXqDnisp8QRUt04yBrX/mohhc/l91hbuP3lIpvIVeoOe2BvXqJMraQAIrFab00nmt9Nnki4TVN3Pujw4gNMxZwBIiE/A28eyzjYrK4t+vQei0+kQiUS4yOU45bNBMdg/kJPnTgMQl5iAj5f1et1pC+ag1WlZNmdhztKzvKhc+x3SLpuXdd1PeUHZ7EEP4J2yrug0Rp4/Mvfl3aQXlK5sHdQyDiXzeO1p7s05gLSkApFcCmInXKqVRHvXepBy8Spl3mez8Sy6Bxl22+PlX45r583rVW8m/UGFaiVyyjRKHTP7/oRGrUcQBFJiH+BZw3ZQ9gv04fxp81R9UkI61bwtbxs7f/EhK7fOYOGa7/isZ3tC2jS2+zADUCeoNudizP14LT4ZL2/Lg9O/vuzA+m2LWb72e7r36soHbZrbPMwABAUGceq0eQYnLiEeH28fq/IZs2ei02lZsjA8Z/lEbowcOZI1w+dycPZW7j19ZLG79GsEVMtjd161OZ10EYAzSZcI8vKz4QvO257q1jYzY84stDodSxaE5yzDyAvfQG8unjEvXUpOuEnV6paNpB0+C2Fp1ETmrh5N12/a0PyjhnYfZgBqB1bn0pnEbJ5bVKleIRdPSxZHfcf3q0fS9ZsPaf5RA7sPMwDBAYGcOpvtB9cSbGSaPm82Op2OpfMW2sg0cuRIln89ib0jVnL/xR+8VGehNxqIu5uMf0Xrvnob1AqoypWz5iVDqdfu4FndMpOsUmoY1X0RapUWQRC4dvkG1WtWtOEI9g/k1PlseZIS8PGqblOnIAzu2JM1o8I4OH8H93LFqitpCQR4WT9oBFX3IybRPFN5OvEiwd7+Nnw1A6oSezYlW6a7VjKplVpGd1+MJkemm3jZkcnWD2ztTqfVmf0gH7sDCPYN4NRF8766uORr+FT9a7oZ1O5rIoZ+z+8zNnM/tz/dTLSJ429CnSBfzsaY/e1afDLVfarmlP3ryw6s376U5evmmuND2+Z2H2YAAoPqcDrGfH9WQvw1qvt45ZRlZSnp32doznggl8vtblj3rF2CtEt/AnAv+Tllq1hmTt4pq0CnNvLsofkF0u3EZ5TxtD+zUhBuPk6jSplqFHMtjlQspUGNRsTetD97mnj/Eg29zEt6a1UI5vYTy/IhkZOYWhWCGb21G/P3jqJyyeokPrCdzS1s7HyNwsa8l6du8GT7ZR4uP4G4uCtOLhIQOeFc+R20D6wf6Jw936FYq5o8/TEW/WPbO6WCa/oTczU7D0lLwqeypa+rVajC3cf3c/KQy9fjCPDxteEACK7lz6krZpuJS03Ex9PLbr2CEFQjV1vSk/Cp/IacyPv/LicCCKrpz6nYbJnSEq11UzGPbpLjCaxh4SjqcbJ8DXduXzX37aO0LEpWtrzcKlbGGb3WSMZj88u4h8mvch5u/qvwD91DU+gZmurVqzNy5Eirz7766quc//fs2TPns6NHj6JWq2nYsCEtWrSgRYsWOfXycuTF4MGD/+02htRrxrnEy/SYOQwEgel9xxJ99ggqjZquLT9mzBcDGbRgPILJRMf321C2hP23VxKxhBGd+zJs1RQEwcQnjT6gTPFSZCpfMWvHUsL6TKT3h58xbWs4v5z9neIKD2b1sL74rGVIC86fvUCvHn0RBIGpMyazP/p31CoVXbp2pm27j+jbayASiRifGj60a29/DXbr91ty9tJ5vhrUGwGBWeOnsvfQAVRqFf41fdm171fqBQTTe8RAALp3/YLW71vvG6n9blluXn3KuvFnQYCOw+qQcPIhOo2Beh960mFIHXYuigOgUs3i1Khvu4kZAJPA8+hrlO3VGJycyLp8F+NLDSK5lJJdgniy9SIl2vvjJBFRumtdAPRPs3j2S5wVTVCzaiRfvk/YsF8QBIEeY1tw4UgaWrWe9z72pWOfhiwevQeJVEzN4Ar4v2u7Rrhpy3pcPp9IaK+ZCILAmKl9Obr/LGq15o37ZnLj/ZDGXDx3lYHffIsgCEyYHsrB/cdRqzRvXBf/Gq1ahnDu/Dm+7tUDQYCZU6ezb380arUK39p+7P71F+oG16XvwH4AfPX5V7QKsT1dSyKWMLJTX4atmozJZKJDow8tdrd9CWF9J9Hnw8+ZtmURu8+Y7W72N2Nt29MihLPnz9G99zcICMycMp19B/ajUqnw8/Vl12+/UDcomD6D+gPQ/fMvadXSuj2NWwQRe/46o/vMA0FgxJSeHD9wAbVaQ9vOBe+bseYJ5Or563zbJwxBgNApX3P8wEU0ai1tOhe8b8ZKpuYtOXPhPF/16wUIzJw4lX2/70elVuNXuza79vxKvcBgeg/N9oNun9O6hbVMErGEYa27M3L7PATBRPvA5pT2KMFLdRbf74vk+64Fx6bXaNjcj7iLqUzovwIEgSETu3HqYCwalZYPOjXiywFtmDY0AqlMQp363tRtYnswRuv3WnDm8nm+HNobQYDZ46aw97DZr7t9Yv/EOHuQiiWM6tqfocsmYDIJdGxisZmZW8JZMGAKfdp+wdRNC/gl5gDF3TyY3Xu8HZl8ib+YxqT+qxAEgcETuxJz8CoalY7WnRryxYAPmT40EolMQp361anbxPbBIMcPen+DIAhmPziwH7VKha+vb7YfBNN3oNnuvvrC1u4AWjduzpnYC3w5uh8CMHvERPYe/x2VWk23tp3eWjcSsYQRHfsyLGIKgiDwybsfUKZ4SbM//bCMsN4T3sjRPKQxF8/FMqDHaARg4vQRHIw+jlqlpmPXtm/8/mu0CHmf8+cu0rvHQEBgyvQJHIg+iEqlpkvXjrRp+wH9ew9BIpHg7VOdtu0/tOGo3ag8N64+Yc3YUyBA59Ag4k7cR6c20KBNVToPC+SnhVdAML/EqtnA9tTH/PBxw864Orvy46mtzPtxOmtHbkPkJGJnzA7+zHhs9zunU3+nbtX3CO++EyecWBj9LS1rd0AuUxAdtx2DSc+KnnvRGbTsvBjJS7XtDE1Rxc6iiHkAmAQyj6ZQultdcHJCGf8AU5YWJxcJJdr48uyXeIq1qomTWESJ9uYkWZ9nhiak/nucTbhMj6lDEQSBGQPGEX36sDkPafUJo7sPZtDcsZhMJjq1aJtvHtKq4fucjb9E94mDzLoZMp59pw6h0qj51wcd8u/M3G2p14xz1y7TY/owQGB6v7FEn8nOiUI+ZsyXAxk0fzyC8H+fEwG0avAe5xIu8fXkIeZ+GjiOfTGHUWvUdG39CWO+HsLAOd9iEgQ656Obohonveu/w92ETH6cloQgCHwwwIvk00/Ra03UCSlD635eHFhxAwGo4ONGteDib6VzB/7v4ST8UxfTAepzhbsRF0DeqPC34nq0Mb9dytJkFIrHzaU4hj9evbniGyAp6862pBGF4vjSdzG3JxT+hvSqczpy9P6iN1csACGVRgFwN+tcoXg83RrxRFW428QBSrvWKJLbrqFobkAuqluz0zOPF4rDu1gLUjOPFLotNYq1Qv/c/prut4W0hHm28WlUwXt93oRSPeqT8KzwflCnZEeMD23f6v4ViCt4kHX01psrvgFuIdWIe2Z76txfRWDJLmhfFc72nN1dMabbP2Hpr0DsXYKX0YXzbY925mVqT9WF88lScm9eqp+8ueKb2iMvzY8ptsnhX0G3mmHU6md73PRfRXLkQz6cV7VQHAfH3QYokthZVDHv/rz8TzV8G1QaZ56Z01wu+LTGN8GlXgV08X8UigNAFlAW9YXC5UXyhoXPicCcF2ljHxWKwznYvEepKMbJlZe+LhQHwOD6mwvN8Xcgc0/ymysVEYp98tdmvwuD/4ljmx1wwAEHHHDAAQcccMCBfyYcDzQOOOCAAw444IADDjjgwH8t/tFLzhxwwAEHHHDAAQcccMABMzJ+vf7mSkWE4h1t94r+X8ExQ+OAAw444IADDjjggAMO/NeiyO6h+U9EUR0K8GTjxUJxlO5pvpH3ufp2oXhKyKuif1a4zdAA0pJu7Lk5rVAcn3hNK/SGSTBvmrz69KdCcQSV+hcAf6pS3lCzYJRxrVlojtc8r9R//Xjx3HCXmy98K+wmb7eQaoXeQA/mTfSX/txaKI76Zb4qNMdrnqLYQA/wYlfiG2oWjHe6+BXZBvrC+ra0pBtZR2wvKfyrcGvlxQPllULzVFTUxfBn4Q4xkZRxR5/4Z6HbIvUrUyR9DfBcfbdQPCXknqg0hfdJV5eiieOF3cwP5g39hT1cIDnSvHG+KA4F0Kg1b674BrjIXXi8Mv+Lk98G5QabT2z8TzoUoLD+JPUrU2RxRnPpQaE4XOqbj4kvbHvcWnmx7mq/QnEA9AmKLDTH3wHBaPr/3YT/EzhmaBxwwAEHHHDAAQcccMCB/1r8o2doXsNkMjEnagmpd28glcqY2ns0nmUtF8CdiD1DxK9bkIhEdHy/LZ+2aJ8vV0zaFTbG7EYsEtM+sDkdguzfbfLjhQM8U2YwqOXnNm0Jm7OM9NRbSKVSvps6gsqelrYcO3yKzet/BCfo9Gk7OnSxf6eByWRi5oK5pKalIpXJmPHdZDwrVc4pjz54gM0/bkMkElPD24fJY8bbXMpmMgnsWnGJRzdfIJaK6TaiIaUqWC7XvJvyjD2RsQiCgPs7cr4c2xipTGy3PS7VS+HR1AvBJKBKeIgyzvrNi9jdhXfa+eIkcgKcePF7ks1NyiaTiXUL9nAn/TFSmZgB4ztTrlLJnPK9O05zbM9lPN4xX3TV79uOVKhS2oZj0ZzVZv3KpIybMpRKnrZvDufPXI6HhzsDQ7/JV7+F5TGZTMyds4C01DSkUhmTp35HZU/LRZ9HDh9j0/rN4OREl0870qlL/ncInIw/R2T0VsQiMR2afESXZtZ28SIrk4nr56HVaSldvCRTe4xCLrO+UNVkMjEzbC6p6alIpdk2UzmPzfyQy2a+tW8zGxZFczf9MVKphL7jPqFcJcsFqNE7znJ831U8ipv7qPe37angWcqOboqKx8SMxfNIuZGGTCplxreTqFKxslUdtUZD3zFDmDl2Ml6eVe3q99T1i6w/8iNikZiP67eiU0P7FyHuiNnDs6wMhrSxPeLTZDKxdsGv3El7hFQmYeB3XShXydLmvdtPcXTvJTyKm2+n7j+2s137Laxfv4bZZrYhFovp0PjD/G1Gr6N0sZJM7THSrs0s+X49N1LvIpVJGDO5PxU9y5EXC2dG4l7Mjf7Dv7Crl5mL5pKSbu6j6eMmUyWXTPsOH2Dzj9sRi8XUqO7N5FH2ZTKZTMxcs4jU2+lIpVJmDB6HZ/lKVnXUWg39po1kxpDxeFWqYsPxGoXtb3McX0p66s3sOD7KThzfAU5O2XG8nV1+k8nEnNlzSU1NRSaTMWXqZDw9Lbo5fPgIG9ZvxAknunTtTJcune1wFE0cd8KJYR/OwqtMbfRGHeH7x/Ew405OeSu/zvyrYX+U2lccuvYzB+J/zEe7EFAtmDGfTqTHgq5Wn7cM+IDBn4zEaDSw8/QOfjq1LV+9zJ47h5TUVGQyKdMmT8WzsuXesegD+9mybStisYgaPjWYOH5CvjYze85ss36lMqZOnYqnp4Vn//79bNm6BbHIfO/bxAkT8/Wn0zevsun8HsQiEe38mvGJf3O79X6KPcRzZSYDmlnLbjKZmL1hMal3biCTSpna71s8y1ls5vjlM6zZHYVYJKZTi7Z8GvJxvrqZtXYRKbfNPNMHjrXrB/1njmL6oHF4VbT1g6L0paKKM7M3mHM0mVTK1L5jrHVz5Qxrdm8266Z5m3x1UxRtEUwCB9el8+ROFmKpiDYDavBOOcvlmY/SX3Fs8w0EARTFZXw8tBYS2X/Z3IDJMUPzX4tjV06j1euImrKc0H/1ZdH21TlleoOBBdtWsfrbeaybEM7O4/t4mmH/3gOD0cCyw1tY9Pl4lnefxG+xR3mWlWFVR6vXMeO3ley6Yn851sljZ9Bp9URGLWZwaG+WLVqTU2Y0Glm5ZD1LI+YSGbWYrZt+JuNFpl2eIyePo9Np2Rq5kZGDhhG2NDynTKPVsHTNStYvj2Drmg1kZWVx4vQpG47Es/cx6IwMC/+Q9r0C2RMZm1MmCAI/L73AZ6PeZejCD6hVvzwv/lTabQsiJ4q3qsmTH67wZNslFIEVESlkVlU83qtO1pV7PNl+mZfnblHsfW8bmosnr6PXGZi1ZgBfDPyIzcv2W5XfSnnIkMmfMnV5X6Yu72uTDAKcOnYOrU7H6qgwBg7vwYpF623q/PrzAW6m3bH5vKh5jh87iU6rY0NUJMNCBxG+aGlOmdFoZPmSVayMWMqGqDVEbdpGxosMuzx6o4GFP0ewYtgcIkeFsTsmmqeZ1jYauW8rbRq0YN2YhdSsXJ1dp6JteKxsZvAwwpblshlNts2siGBr5AaylPZt5vKpZPRaA9NX9+Gzga3YuuKgVfnt1McMmtSRScu+YdKyb+w+hBQlz5EYs0zbV6xnVP+hzF+52Kr8WkoSPUL7c/dh/stPDUYDS/ZuYEmfqazqP5NfLxzk2Svry/40ei1Tf1jMz+cO5Mtz8WQSep2B2ZGD+XJQG6KWWvfBzZSHDJ3cjWkr+jNtRX+79lsUfg3ZNrNzDSuGzyZy5Hx2x+y3tZnobbRp0JJ1oxdk28x+G56YY5fQ6fQs3zSDfsO+YFX4Fps6e34+zK30e/nq5cip42i1Orat3sDIgcMIW2Et07LIVWxYGsHWVet5lZXF8TP2ZTpy4RQ6vZatc1czsvtAwjausCq/lp7MN5OGcu+Pgpf3FEV/nzx2Gp1WR2TUUgaH9mHZooicMnMcX8vSiPlERi1h66af8o3jx46a+ztq80aGhw5j0cJwK56lS5axOmIlmzZvIGrjZl68sL2EsqjieJMaHyKTODNiSxfWnZhH/5BJOWUe8nfo+d5ovt3+OWO2fUaIbyfKelSyy9Pno8HM6rEAmdTZ6nOJWML4z6bRJ/wLvg77lG7vd6eUh/0LG48eP4ZWq2XLxihCh4WyINxyV5lGo2H5yhWsi4hk84YoXmVlceLUSfs8x46i0+rYHLWZ0NBQFi5aaM2zYjlrI9cSFRVFVlYWJ0/a5zEYDaw4+QMLO49iaddx7Ek4yTOldZ9qDTpmHYhkd9xR+225FINO///YO+/wqKrt73/IpM1MQhFQpEoglCSEBKQjVWlKx4IiRUAg1IAKgvQmhBB6F6WjV0QvAooCAgkdEhKSkEIJXZokmZKZTGbeP85kZs7MSQBnLq+/e+f7PDwPmb3ne9Zae62195lz9l56tsxaydj3PiZ62ypLW77BwKKtK1kzKYqN05aw69DPRa5DDp05hk6vZ9u81Yz7YBhRm8VxkHz5EgOnjebG3aLjwFWx5Ko8c+ic2TYzVzD23aFEb1ttZ5tVrJm0kI1TY9h1WHqN5ipZMs48pCDfSL854bTuW53DW6yvs5lMJn5dl07nEbX5YFYY1euXIfuB8683uuEa/E/c0MSnJ9GinrCPJbRmEMlXrfskrt7OospLlSip9MfL04vwwBDOpydJ8lx7eJtKZV6ipFyJl8yT0Cq1uXBDvOdCZ8inU8hr9G/eXZLjQnwyTVu8CkBIaF1Sk60FqmQyGTt2b8DPX0l2di4mkwm5Qi7JE38hgRZNmgNQP6QeyZdSLG3eXt5sXfc1cl/huwUFBry9vR04ribfp3ZDoTBVtbrluJFhDf77t3JR+Ptw9Mc0Vn36O5pcHS9WLikpi1dZJYa/NJh0BjCa0N18jE/l0qI+2YfTybv8AIASJUpIvsOZlphF/aZCEdJaIVW4fEn8lOdK2m1+3HKUaSPWsXvzEUlZEuNTadK8AQDBoXW4lCIuuHXxwiWSk9Lo1qeT5PddyZMQf4FmLZoAUC80hNRkazErmUzGv3Zvx8/fj+zsbChmrK/duU6V8hUtPhpWI4T4zIvia11OpnmQ4Fctghtx6lK8A0/8hQRaNLXxmVQbn/G28xmDtM+kJV6nfpMaAAQGV+bqJXFhtKvpd/hpSxwzI77mpy1Fv3/uKp7zSRdo2disU1A9ktPFp7fo9fksm72wyCczAFfv3aRy2QqUlPvh5elF/VfqknDNjseQT5fwNgxs27tInksXrhHWRCi+WCukqoP/Xk27xe7NfzB1+Bp2b/5DksMVcQ1w7c4NwWcUZp+pGUz8ZfEeEsFnGgLQIvhVSZ+5mJBGo+b1AQgKDSQtRfyuevKFdFKSMnmrd3tJOQDOJybQskkzQafgeiRfstrW28ubras3Ivf1NetUgI+3jyRPfGoiLcKFeKpfO5jky+LicPp8PUsnzqV6papSX7fAFeMt5HFhTgkJDSI12Vq0U8jjG815PKf4PB6fQPPmwniHhtYjJTlFxPPD7u/x9/cn+3E2JpMJhULhqI+L8nhI5UacvSrk1Uu346lVoZ6l7eXSVbl8L5XcvGxMmEi7k0jdSuGSPDfuX2P06iEOnwdUCOT6vWvkaLLJL8jnXMZpGgY2kbZLQjwtmrcAoH69UFJSrL7r7e3Nlq83IZdbc5VPEXEQHx9P8xaF9g0lOVnMs3nTZhuegiLjKevRHSqVfhF/X/PcXzGQxNviQq16Qz4d6zbjw8bSb3jEpyXRPLSxIEtgEMlXrN+3rEP8zOuQ2vU4fylRkud8ahItC+OgVjApl8VrEH1+Pks/nVNsHLgqllyVZ+LTLtK8vnmNFviENVqtEM6nOdrGVbLcTMumev0yAFSsVZK7l637AB/d0eLr78XZfbfYPuMCeSoDZSs6xuQ/HaYC03P79zzh9A3NlStXWLt2LatWrWLfPsdfhZ8Wa9eu5ccff3RWHEmotRr85ErL3zIPGYaCAqEtT9ymlMtRaaQ3bKp1Wvx8rc6r8PZFrRO/NlVSrqRxQD37r1o51Br8/GxkkXlgMBRY/vb0lPHHwVj6vzOCsIb18PSUfsVLpVHh7+dn+dtD5oHBYBD+7+FBuReEV7W2/WsnGq2W5o2bOnDkafLxVXpZOTxKUGC+0VBn67iW+oDmbwYybH47MhL+JCP+rqQsJbw9MeoMlr9N+gJK+HiJ+hi1+WA04fmCglLtAsmJc9zEp1HrUCitj389ZB4U2Nim+ev1GPJpN6Yt+4i0xCzOxTlWu7W3r4eNfR/cf8TGtTsYP2m4pB6u5hE4bMdIZhkjAE9PTw4d/IO+7wwgvGEYnp7Sb4Cq7HxU4StHpRX/ymrrxwofx3YAldp5n9Gq9cj9rAtOD48SFBisN6dN2wcz+JM3mbK0P+mJ1zkfJ12d3VU8Ko0aP6XNOHl4YCiw2rhBvfq8/KLjK1K2UOu0KG3j2keOKk9sv5JyP5rUCiuWR6vRofCz9d8Sdv4bytDPejB9+RAuXbjGuTjHozNdEdcAqjw1fr42PiPhEyKf8XXUGUCj1qL0s9pGZhOTD+//xaa1uxg7aVARFjFfR60W6+RRhE7fm3VqJL3IVWnU+CvseGzHum4oL5d7qVhZwDXjrVarnyKPH6P/O8OLzeNqtQo/f6tOMpvxFng8Ofj7Id595z0aNAyXzBGuyuMKbz/UOuvizWgqwKOEIPetR1epVi6Q0opy+Hj6El6tOb5e0jdpB87vw1CQ7/C5n9yfXK2VX52nxl8ufXOlUqnFudNDJvKZsmUFn9m+cwcarZZmTZtJ8gi+Z339TiYrgmfHdjRaDc2aFcGjz0PpbdVX7u2LWic+vMDfV0mjaiGS3wdhHeKvsF2HeFjWISqNBj9F8TneyqMW9bWPg/A69ajwhDhwVSy5Ks+otRr8i1ijqezWbwq5ApVGYn5zkSw6TQE+CmuclfAogdG8MNfm5HM7LYfwDi/z7hf1yLr4mKwkx6embvz/gdN7aPbt28eoUaMAOH36NOvXr+fRo0cEBgaSlZXFK6+8wuPHj9FqtVSpUoVHjx6RnJxM9+7duXDhAt7e3vTv358SJUpw86bwWsiYMWN4++23OXHiBEqlkvbt27N//37UajUDBgygSpUqxYnkAKVcgTrPmnyMJiOeMiFRK30VqPOsNyVqrRZ/pZ/o++uO/IvEm2lcvneDoIo1LJ9r9HmiAHoqWZQK1Grr9YxGk8Nk16Z9S1q1bc7saYvYv+d33urR0YHHT+GH2iaoTUaTaLIzGo1Er1xK1o3rxMxbSIkSJRw4fBVe6LQGEYdMJtzjKkv6UK6iHxWqlQKgzqsvczPzEYHh1sVhyddq4FO5NF7l/dHfsT5+L+Etw6RznNB8qpahdIc6PPo52WH/DIBC6UOeRieWx2wbk8nEm+80tywYw5vX5lr6HRq2qCPiUCoVaDRaEUehff/4LY7sxzl8Onomjx7+RV6ejqrVK9Olm+Ovy67gUSoVaGzG2mQ0OixI2rVvQ5u2rZgxbQ579+ynWw/ru8ExMTGcORhHxq2rhLxi1VOTpxVNRiD4sSZPi6+3DxqdFn+5uB3AT+mHWv0En1lh9pn50j4jV3qTp9Fbv2MyIfMUfMZkMtH57SaWMQprHkhWxl0atKj1H+PxUyhRa2xtbMJT9nRpLSYmhlO/HuPy3SyCqgRaPtfotPg/Y1wDyBU+aIvz33dbWnRq0Lw2V9Nv07CF+Ix+Z+N61b83kXA52dFndFrRggHMPqMz+0yetM8olHK0apvcaaPTkd9Pkf04l8/HLODRw2x0eTqqvlKRTt3EewuUSrsxMknotHoZ125ksWSOtN8JtlGi1v69sQZYc2A7F66lumS8lUolaju7OObx12jVtgWzp0Wxf89vvNXD8WmuUumHxiYmjXbjDdD+9Xa0bdeGaVNn8POevXTvId5r52weL4RGr0LubbVDiRIeGE3mRaUuh7UHZzOt52oe5N4l88+LZGuebSGn0uaitLGz0ldJrkb6VTw/P6XYLiajg88sXrqErOtZLF64qEifEcZJLfqePU/MkhiysrKIXhTtwLPh+A8k3c7k8oMb1K0QYPlcq8/Dz+fZfpkX1iE2c7/NOsRPoUCjtfqTVI638ojjwGh6tjgQrudcLLk6zzis0Yw2tpEr0NjYTaPViGxT5Dz5N2XxUcjQ51l/nDCZTHjIBL+Q+3tRuoIv5SoLvNXDynD3iopq9coUY61/HkzuPTTFY9euXSxfvhyFQsH9+/cB6NOnD+XLl0cul3P37l1u3LjBgAEDeOmllzh69ChlypTh4cOHHD58mMePH3Pr1i1SUlKoUaMGQUFB3Lx5k9KlS5Oenk7p0qXx9vbmzp07T5DEEWGBIcQmngIgMTOFwMrVLW3VK1bj+p+3yFblkG/I53xaIqE1gkTf/7j126z44Av2jFnJrb/+JEerIr/AQMKNS4RUctwLUhxCw4I4ESscA30xMZUaga9Y2tQqNSMGf4Jer8fDwwO53JcSRWxQDA+tz7ETcQBcuJhEYA2xHDMXzEWv17Psy2jLKyr2eCWoPJfOCO/IZqU+oEL10pa2Fyoo0WkNPLgt/KJ25eJ9XjJPioXIOXaZ+zvOcXvFEWSlFZTw9QSPEvhUKYPulnii8qlahlLta/Pgu3jy70ofuVu7XjXiTwi/xKdfvEHVGtZfiLRqHZ98uIw8jQ6TyUTyuSsE1HbcpF8vrC4nYs8CkJx4iYCa1s2Mfd7vylfbY1i+YR4fDOrDG51aS97MuIqnflgocbEnAEhKvEjNQOvNsEql5uPBETZjLXfYjBoZGcm68VEcWLiTG/dvk63OFXw0I4nQAPFCOKxGMLHJpwGISz5DeE3HXwqf2mcWFO0ztepVJeGE8PpdRvJNqgS8aGnTqnVMHLCGPI3ePEbXqF775f8oT3hIfY6dMuuUkkRgQA3JflKIjIxk9cez2TdlIzcf3iVbI9g3/moKIVVrPzVPIWqHvkL8CeFVifSL16law7po1Kp1TOi3xOK/F89dIaB2JQcOZ+M6otsA1kUu5MCCHXY+c9HRZwKCiL0o5KK45LOE1wx24AsJq8WpuAQAUhIzCKhp/TGpV99OrN0+j5j10+g7sBvtOrVwuJkBCK9Xn6OFOiUnERgg1mlG1Dx0eh3L50VbXj2TQnidehw7L8TThbRkAqsFFNlXCsM7vO+y8Q4NC+ZErDCnXExMoUagdU4R8vj4p8rjYeH1iY0VbJOYmETNQKttVCoVgz8aasfjuHB3No8XIvnmWRoHCIfc1KkYzrX71td+PErIqFMxnAnb3mHhz+OpUrYGybfOPtFOtrhyN4NqL1anlKI0XjIvGtVqSvyVc5J9w+qHcSxOeNX0QlIigTUDRe2z5s5Gr9exNDrG8sqYFMLDwomNFXgSExMJDBTzzJ49G51Ox5KYJZI8Q5r3Ymmfz/hxaAy3Ht8jJ0+Y+y/cTif45afPNQDhtUOITTCvQzJSCKxi9d/qFatx/e5NyzrkXOoFQgODpHnqhHDs/EkALqQnE1j12eJA4HAullydZ8JrPck21jXauUuJIttERka6VJZKtUtyJV54bfN2eg7lq1pvikq/5Et+XgF/3RVuvm6mZlOuyv+9V87+W+H0E5rOnTsTExODUqm0vAtc+ItIiRIlyMwUTtHQarVUrFiRLVu2cOfOHd566y3S0tJ46aWXSEhIYOLEieh0OpYtW4avry9lypShYsWKqNVqgoODSUlJwWg0otVqixNHEu0atuRk8jn6zx4NJhMzh3zGvhMH0eRp6dP2LT7pO5wRiyZhMhrp3qoTL70gvVHRU+bJqPYfMH7nAoyYeDO0NeX9XyBHq+LLfRuY13vcE2Vp3a4Fp0+eZ2h/oe+UmeP5dd8htJo8evTpQsfO7Rjx0Sd4enpSM7A6nd5sJ8nTvnVbjp85xQcfDwKTidlTprP3wH40Gi3Bdevyw88/0bB+OB+NFl6L6vfOe7zeWswV0rwy6fF3WT7+NzCZeHd8U84fvoZea6Bpl5q8M64x2xYcx2SCV4LKEdTYcQEGgNFE9qE0yr/TAEqUQJ14C6NKRwlfT17oFMTDHxMp1b42JWQevPCmkEDyH2l4/Kv4lZtGreuSeCaTqcPWYjLBiCm9iD1wgTytnte7N+K9YW8wc/RGvLxlhDSsQXhzx0VIq3ZNOXsygREDPsNkMvH5zLH8tv8IWo2Wbr2L3zfjap627Vpz6uQZPur/MSZMTJ85hV/2HUCj0dCrTw86de7A0I8i8PT0JDCwBp3fdHwSB+Al82R8n48ZtXwyRqOJ7s078GLpcmSrc5m9NYZFw6YxuHNfpm9axI+xv1DaryRzP5rkwNO+dVuOnz7FB0MHAWaf+XU/Gq3ZZ/aYfWaUjc+0EfvMq63qkHT2CjNGbMRkMjHs8+7E/ZaETqunXbeGvDO0HXPHbsbTS0Zww+qENQt0kMOVPK+/1obj507x/qiPMJlg7sRp/Pz7L2i0Gt7p2uupxslT5snYNwcybuMsjCYTXV9tz4ulypKtyWXeD6tY0G/iU/E0bh1E4pkMvvh4NSaTiYgpfYg9kECeRs/rPRrTd1gHZo5aj6e3J/VerUGD5nUcOFwR12D2md5DGbV8CkaTvc8sYdGwqYLPbI7mxzizzwxy1LNl20acO5nEqIHTwASfzRjGwf1xaDV5xe6bscXrrdpy4uwpPhjxESaTiTmfT+fn34QxCqkdxA97f6JhaDgfjTXr9HZfXm/leHpk+yatOH7hLB98PkKwzajP2Xv0NzR5Wt7uUPQJgfZwxXgLefwcQ/uPBUxMmfmJOY9r6dHnTTp2bs+Ijybg6SmjZmAAnd6UtlW7dm05eeIUA/oPwmQyMXPWdPbvE8a7d59edOnSmcGDhgg5olYgb77peFqaq/J4XPqvNHjlNWL67aIEJYje9ylt63ZD7q1k34UdGIz5rBz4M3qDjl1n1pOjfbonNG817onCR8F3x7ax4LuZbIjcjkcJD3bF7uTeY+nX39q3bcfJUyf5cFB/TCaYPX0me/fvQ6vVEFQ3mN0//UiD8AYMGS7UDvngvQ9o384xDtq1a8eJkyfo378/JkzMmjmLffv2odFoCA4OZvePu2nQoAFDhwo873/wPu3bOY6Vp8yTka3e5ZPdMZgw0SWoJeX9ypCTp2Lh75uY89bIJ9qh3auvcSLpHP2nj8JkMjFr2ET2xf0urEPad2VCvwhGfPkZRqORHm06F7kOad+4FScSz9JvygjBNiMnsfeYOQ7eeLo4cFUsuSrPtHu1pWCbGaMwmWDWsM/YF3cQjU5Ln3ZvMaHfCEYsmCjYprW0bVwlS61G5biW+JitUxPAZKLziNqkxN5Dn1dA2Osv02l4LfYsuwQmE5Vql6RGg7IOHP90/LfWoSlhMpme266dQ4cO8eeffyKTyXjnnXf+49dzF9aUhruwpjTchTWLhruwpjTchTWLhruwpjTchTWl4S6sWYws7sKaknAX1vx7eLDV+fz+tCjXr8Fzu9ZzrUPTTuIXFDfccMMNN9xwww033HDjOcC9h8YNN9xwww033HDDDTfccOOfhef6hMYNN9xwww033HDDDTfc+P8Dk/H51od5Xniue2jccMMNN9xwww033HDDjf8/cHZf+LOgcA/588B/9ROa3N8uO83h/0YN1H9cc4pD2eYVAAoyHxXf8QmQ1XyB/Acu2OBdzg+dxsmNlwo5mmNZTsuieK2aSzaBAuizHWvbPAu8Symc3sQMwkZm/WPpomhPLUtp4ajI/NT7TvF41S2P+ug1pzgAlK1eQad2cpyUcqf9DgTfK7jiZCwFvAC4ZjNpXp4LNiD7+jod217l/NDFP/ux9vbwCX/ZZQdJGK8/dorDo2ppdBekT8J6FvjUr+D0RtjCza35953LEV7lnc8PIOQIV+ROZzlcxVOYx11xuID+ogs20Ie85LJDAZxdi/i/UYO/vk9yigOgTJ96GNIeOMXhWbucy+YU7WnnDm6SN64M4BKex1rnDigAKC0v4iRYN54L/qtvaNxwww033HDDDTfccMMNAf+txzb/z9zQHE06xYb925F5yOjWrAM9W4hriTxWZTPlm4Xo8vWUL/UC0/tF4uvtWOTtyIWTrN+7DZmHjO4tOtDrNXFdgL9U2UzZ8CV5+TrKlyrLjIETsK1VazQambUqirSrmXh7eTFrzOdUq1hFxKHNy2PIF2OYPXYyAVVekdTHaDQye9GXpGem4+XtzaxJU6la2cqz77df2PLddjw8ZNSqEcjUTyY5FG40Go3MnTePtPR0vL29mDFtOlWrVrVy7N/P1u3bkHl4UCuwFlMmT3bgsNgl4QTrfhbs0qNlR3q1srNLbjaT188327csMwZNQO4jtq/RaGTulzbyTJ1O1So28vxilkdmlmeSozxGo5E5C+aRlpGOt7c3M6dME3P8up+tO7fj4eFBrZqBfDFRWiej0cjsxV+SlpmBt5cXMydOpZqNfff+/gtbvtuBTCajVo2aTB0vbd85C+dbZZk81U6WX9j6rY0sn31etCxro0m/lomXpxezRk2i6suVRX20ujyGTo9k1qhJBFSu5sBRiCMXTrJ+zzZkMrP/SozTlA1fkqfXUb604L+242Q0Gpk7326MqkqMUaHPfF60fV3he0ajkVkro0i7Yo6ncUXE05QxzB5XdDwdTTzJ+n3bkcmE/NCrZWexXVTZTNm4wOK/0/tHIveW8N+5c0lPF8Z7+nSxTvv372fr1q3IZDICAwOZMmWKpM84G9cWWTbGkJZ1GW9PL2YM+5SqFaw+88e546zdtQmZTEaPNl3o0/4tSbsYjUZmR5nl8fJm1udTqVrFRp4Dv7DlW7M8NQOZ+ql0HMxatpBLVzLw9vJm9vjJVKvkOEaDJ45mzoQpBFR9pUhZ5m6IIS0rE28vb2YMt9PpbJygk4eMHm270Of1rpI8ALHp5/j66A/IPGS8Fdaabg2k68R8e2ofj1TZjGjf19Eu0V+SnpmBl5dXEeO0A4/C/DCh6HFyNke4Im/+E3kAQquH80nvKfRf1Ef0edvQN4joGklBgYFdcTv517Htkt83Go3MWb+YtGuXhTw+4jPJ3PnxzPHMjJhYbO6Mu5LAplN7kHl40CW4JV1DHIvIAvwr/jceqbMZ1rKPQ5ur1iHHUs+y8fC/BP9t2JYejd6QlGVn3M88VD1mZMd+DnaZvWaReR3izcxRk6hW0dEuQ6aOY/aYz/+jc0qhPPM2LSX9+mW8PL2ZPmQCVV+yPu04cv44a3/ciqfMg+6tOtO77ZsOcriCo5Bn4bylZKQLPjN5+idUqWrlOfT7UTZv3EGJEtCj91t07yXN48bzx//EKWeGAgOLd61jxag5rBu3gN1x+3mQI35lZf3+HXR6tQ0bIqOoXbkGu2L3O/DkFxiI/tcaVo2dx4ZPovjh2H4eZNvx/LyNTo3bsvHTxdSpWpNdR/eJ2g+eOIper2dH9HrGD4xg4YblovaLGan0nziC63eKf/x58Ogf6PU6tq37hsjho4laHmNpy9PlsWzdKjYuX8u2tV+jUqs4EnfMgePQ4cPo9Dq2bt7M2DFjWbR4sZUjL48Vq1by1br1bNm0mVyViiNHj0rKkm8wEP3tWlZHzuerzxax6+g+B7us27OVzk3asXHiYmpXrcGuI3sd5fnjMDqdjq3fbGbs6LEsipGQZ+16tnxtlueYozyHjhxGp9ezbeNmxo0cQ9RSMcfyNav4avU6tn61SbBLrLROB4/9gU6nZ/uarwX7rhTbd/n61Xy9bC3bVm8kV6Xij+MS9i2U5atNjIsYTdRSG468PJavXcVXq9aydcM3qFQqjsQ6cgAcPHUMvV7PtgVriew/nKivV4jaL2ZeYsDkkdy4W7zPCOO0hlWR89jwaRQ/HC3GfydK+6/FZzY9YYy+KXqMRDxO+p4lnmLWM35QBAvX28VTeir9Pys+nvILDETvWsfKMXNZH7mQ3bESdtm3nU6N2vLVhEXUrlKDH4455odDhw6h1+vZsmULY8eOJTo6WqzTihVs2LCBzZs3o1KpOCqhkyviGuDQ2Vh0ej1bZ69i7Psfs2jLaqu+BgNRm1ewdvIivp6+lF0H9/DgsXTdJIs8678hMsJOnjyzPCvXsm190fL8HncEnV7PzmVfMX5wBAvXLhW1X0xL5cPxw7hxp/jXRg6diUWXr2fr3NWCTptXiXXatJK1U6L5euayYnUyFBhYdmALMR98zsoB0/jp/CEeqh6L+ujy9czcvYIfzkrX2jp47A8hJtea88MKu3Fav1oYpzUbhdiWyA/gmhzhirz5T+QZ3DGCOf0X4e3lI/rcU+bJpHdnMDimLx9G9eadVv0oV1K6COWh08cE+85fzbh+w4jatFLUnpx5iYFTR3Pjz+LrxBgKDKw8+i3RPcezrM9E9iQd5aE6W9RHZ9Az55f17L5wqEgOV6xDDAUGlu77hqWDprJ6yEx+OvM7D3PFRU7z8nVM/24p35/6RVKWgyePotPr2R61TphTNjquQwZ8HvFc5hSAw+fi0On1bJ6+grHvDmHx9jWiayzatpo1Exfw1ZQYdh3ey4PHjq8cu4ID4MjhWPQ6PV9tXkHE2KEsXWzNnQUFBaxcup4Va6PYsHkFWzd9y+O/siV5/skwGY3P7d/zxP/EDc3VuzeoUr4iJRX+eHl6Ub9GMAmZ4iJrCZeTaRbUEIDmQa9yOi3BkefOdYFHKfCE1QwmPvOimCczmebBrwLQIvhVTqfGi9rPp1ygZcOmANSvE0JyZqqoXZ+vZ9kXXxJQpehfRADiExNo0bS5wBNSj+RLKZY2by9vtq79Grmv8E5yQYEBb29vR474eFo0byFwhIaSkmK1ibe3N1u+2YRcbuXw8XHksNjlRatdwmsGE58hYZcQs13qNeKUnV0A4hNs5KknIc/XNvIYDPhI6HQ+IZ6WzZpbOVJTxBwbvrHYxWAowMfbx4ED4HxiAi2bNBN4guuRfMk6Tt5e3mxdvRG5r6/ZNtI85y8k0LKpjSyX7GRZbx0jQ0GBpD4A8amJtGjQROCpHUJy5iVRuz5fz9JJ86heqarU1y24elc8TmGBTxinEEf/FY2RlM98beczRenkIt87n2wTT3VDSM6QiKepXxb7C+O1O+L8EFYzmPjLjvmhuTk/tAh+lVOXJPw3Pp7mzYXxDg0NJTlZrNPmzZttdCqQjkkXxDVA/KUkWoQ1FngCg0m5Yi0Ye/VWFlUqVKKknzlea9fj/CXp9/PjL9jJYxdPW9fZyGOQlud88gVaNhLGKCyoHhfTHf13+YyFVC/i6ZlVp0SrTrWCSblcnE6hnE9NlOS59uAWlV94iZJyP7xknoRWrc2F62KZdAY9nUJb0b9lD2lZEhNoUZgfQiTywxpxfvAuKs+4IEe4Im/+E3lu3L/G6NVDHD4PqBDI9XvXyNFkk1+Qz7mM0zQMbCLJcT41iZbh5txp5zMAekM+Sz+b88TcmfXoDpVKv4i/r1LwmYqBJN5Od+DqWLcZHzaW/sXeZeuQ+zepXLaC4L+eXtSvVoeEa3Z5z5BPl/DWDGzTW1KW86mJtGxguw6xj8l8ln4+v9i8Kejk/JwCEJ+eRItQYfN4aM0gkq/axPbtLKq8VMm6vqgVwvk0x3zlCg6AC/EXadpC4KkXGsSlZCuPTCbj293f4OfvR3Z2DiYTyBXyYm3kxvPDM79yFh0dzYQJE+jbty+rV6/m22+/ZdCgQUVOrMuXC3f+np6eqNVq2rdvT3h4eJF9R48ejcFgYMGCBZQuXZqXX34ZgIyMDPz9/enevTuVKj3bxit1ngY/ucLyt9JHjipP7djHV3g5TOErR6V13LQp8FhfIFNK9FPlqS19FL4Kx3aNGj+ln+VvDw8ZhgIDnjJhKBoE1X8qnVRqFf62PDIPDAYDnp6eeHh4UO4FodL8tn/tRKPV0rxxUwkONX5+thwyEUfZsgLH9h070Gi0NGvaTFIWe7sofBXkauzsq7X2UUrYBUClspPHowh5du5Ao5WWR22vkx1HOTPHtm93oNFqaNbE0S6FPP4iniLs+73Zvo0cJ9SnluW7ncXKotKo8VcobXg8xD5TN1Tyew7yaJ/Cf7VP8N+n9ZmdxfuMq3zvifEU/OR4UuWpLbEPoPBxtIutjyt8HfMHmH3G39/yt6wonbZvR6PR0KyZo06uiGsoHEc7/zXbRaVV42/TppQryNVIHwKgUqvEcfA384ytTjJ7/w15ypyn1eBXRByotOIYUcrlDjmoEGqdFqWPdT5QeMtR6cQHipSU+9GkRih7LxyRlsVOp7+TH8A1OcIVefOfyHPg/D4qla3s8Lmf3J9crfVgBnWeGn95SUkOtVZdpM8AhNepJ/k9Bx59Hkpv68JV7u2LWic+BMHfV0mjaiHsT5E+SMB16xAtSl8b//WRo8qT8N/AMH4+f1haFo0af6WtXezXIc9vTrHw2IyTzEOGoaAAT5nMoU0pl6PSOuYrV3AAqNUa/PxsbCOTYTAU4OkpA8DTU8bhg0eJmr+MFq81tXz+fwruPTQC5HI5N27coF27dhw/fhyj0ci2bdvw9vamZMmSPHjwAG9vb/z9/Xn8+DE3b96kcuXKjBgxAoAVK1Zw8+ZN7t27h1KppHTp0jx8+JAyZcpQUFDA0qVLee+999DpdISEhBAQEMCZM2fw8PDAx8fnmW5mVu3ZRMLlFDJvXyXkldqWz9U6rWiyB2GRrdFp8fX2QZOnxd8mSFf++A0Jl5PJuHmFkOp1rDx5WtHCAMDPV4kmr5BHHEQAfgolapuANhmNliTyLPBT+qHW2PKY8PS08hiNRqJXLSXr+nVi5i6kRIkSEhxKNDYcRqPRgWPxkiVkZWWxeNEiB46Vu78mPiOZjJtXCQmw2leTpxEtLkBYNGnyNPh6+6DO0+CvENsNwM9PiUZtI49JQp6lS8i6nsXihY7yACiVStRqTfEcywWOmAXSHBYejZXHZJKw7+plXLuRxZI50vYVOJ5g3+VLybqRRcyXUUXKIviMnSzP4DMrd39DQqbZfwPs/NduHPzkdv4rt/Nfpd0YSem01OwzUUXb11nfs/A4EU8xMTGcORhHxq2rhLxitYtGJ45/kMoPjv4r+F7xOsXExJCVlUV0dHQRMel8XEPhONrFgdkufnIlaps2tVY6Hi3yqJ8gz4qlZN24Tsz8ovOMrf/ayvIs8JMr0Ih4TMXopBXdcACsO/wtiTfSyPzzOsGValo+1+i1+PuIx/uJsjxNfli1TIjtYsbJFTnCFXnzn8hTFFTaXJS+totoJbka6dd+lHI73zM+W+7ccPwHkm5ncvnBDepWCLB8rtXn4WdzU1wcYmJiOP17nNPrkDW/7eBCViqX714nqLKN/0rkqydB6TCnPFtMunJOAWF9oM6z3iAajUY8ZTJrm9YutiXylSs4AJRKBRq1HY/dTUvb9q1o3bYls6YtYN+eA3Tt0dmexo3/D3jmV86Cg4PZunUr77zzDtevX6egoIBBgwaRnZ1NVlaW5f+3bt2if//+VKsmfmRpMBg4deoUCoWCBw8ecOXKFT744APatGlDcnIyXl5eeHt7ExERQcmSJdm2bRsAffv2ZfDgwc8ka0TXAawbt4AD87dz4/4dstW55Bvyic+8SKjNjQlA/YAg4pKFs7mPp5wlrGaIpW1kj4GsnxDFb4u+5cb922Src8g35HM+I4nQgLpinhpBxF48DUBc8lka2PAAhAeFcuzMCQAuXLpI4Cs1nkknC0+9+hw7ESfwXEwisEZNUfvMhXPR6/Qs+zLa8sqCPcLCwjgWK/yadCExkcCagaL2WXNmo9frWBoTY3lFwBYjew5iw2eL+H3xt9y4d5tsldku6UnUrxEk6lu/ZjCxSYJ945LOEB4Y4sAXVj+MY3FmeZIk5JlrlidaWh6A8PphHDtuw2Fnl1nz56DT61kaFVOkXUCw79FC+yYnERgg5pkRNQ+dXsfyedGWV0scOELDOHY8zkYfO1m+nItOr2PpwsXFy1KnHsfOnRR40i4SWC2gyL5SGNlzIOs/jeK3aPM4qa3jJOm/SWb/vXiWBnbjFBZmM0ZSPjN3NnqdjqWLix4jC48TvlcIUTylXiSw+tPHU2RkJOsiF3JgwQ5zXOea4/qig13CAoKIvWj23+SzhNcMdpQlPJxYs06JiYkEBop1mj17NjqdjiVLlhTtvy6Ia4Cw2iEcizf7TEYygVWsPlO9UjWu371piddzlxKpX8tRH4Dw0CfIs2Auer2eZQuKlqdBcChHTx0HICEliVrVa0r2exLCatfjWPwpQZb0ZAKrVhfrdMdGp9QLDjp93PZdVvSfxs/j13Dzrz/J0arILzBwIesSIZXFY/UkhNerz7GTNnaxyw8zo+ah1+tYNr/o/ACuyRGuyJv/RJ6icOVuBtVerE4pRWm8ZF40qtWU+CvnJPuG1wnh2HlzHKQnP3PuHNK8F0v7fMaPQ2O49fgeOXlmn7mdTvDLT5drIiMjXbIOGf5GX1YPmcW+zzdw89FdsjVmnmuphFSp9Ux6hdetx9GzNuuQas+2DnHlnAIQViuE2AQhthMzUwisYhPbFatx/c9b1vVFWiKhNYP+IxwAoWEhHI8VeJISU6gZaPUZlUrN8MHj0Ov1eHh4IJf7FnmgxT8ZJqPpuf17nnjmwpoajYaxY8eyfv16FixYgFKppFSpUnh7e+Pj40Nubq7lCc39+/dJT0+nQoUKyGQy1Go1bdq04caNG+Tk5KBQKPDx8eHevXu8+OKLXL9+nZdffplq1apx4MABypcvj4+PD/7+/jRu3JjKlR0fPxcH27PfC08XMZpMdGv6Bu+07kq2Opc525cSNfQLHub8xYwti1HrNJRWlmLuwM+Q+/g61KEpPOXMaDLSvXlH3m3bjWx1DrM2LyF6xDQe5vzFtK+j0Oi0lPYrybzBn1Ouo5C0CjIfWU45S7+aiQmYO24KKZfT0Gi1vNO5h+U6AyZFMH3kZ6JTmWzr0FhOQ7qcASYTs6dMJzXtEhqtluA6dXl38Ic0rB8O5l+/+r39Hq+3bgdY69AUnjSVnpGOyQSzZ84k5VIqWo2GoKBg+n7wPg3CGxRS8MH7H9C+ncBhX4em8JQzk9FI95adeLddN7JVOczaFEP0yOk8zP6LaRujUOdpKO1fivlDJyH3kYvq0BSejmORZ7pZHq2GoLrB9P3QTp73BHls69AUnnKWnpmByWRi9rSZpF66hEarIbhuEO8N+IAGYeGWXwX7vfs+7dsKOtnWoSk85Sz9ciYmk4k5n08nJV3gCakdxDtDP6RhaLhFln5v9+X1Vm0Bax2awhOMLLJMnSGMkcYsy8B+drL0pX0bsyw2dWisp5xdBkzMHj2Z1MtpaPK0vN2xu2UMBk4ZxbQRn4ree7avQ1N4Io3RZKR7Sxv/3bSE6Aiz/26MQpNn9t+hnyP38bXUoSk85cwyRjPsfKaf3Rj1tfEZmzo0zvpeYR2awlPO0q9mYjLB3PFTSMk0x1MXm3j6LILpo63xZF+HpvCUM6PJRPfmHSz5YfbWJSwaNpWHOX8xfXO0xS5zB01E7uMrqkNTeMpZRoYw3rNmzSI1NVUY7+Bg+vbtS4MGDSzj/f7779O+vXC6VmEdGqfj2lyHpvCUs/SsK5gwMXv4RFKuZqDN09Ln9a6WU86MJhM923TmvY49LbayrUNjPeUsQ/A9W3nq1uXdQXbyvPMer5t9uLAOTeEpZ2lXhVia98lU8xhpeOdN63X7TxjBjLETRaec2dahKTzlLP36ZSGeIiaRcjXdrFM3yylnRqOJnm278F4nG53s6tAUnnJmMpl4M6wNvRt1IEerYv6edcx/Z7yl394LR7j+4DYj2vcV1aGxnHJ2OVMYp8mFdtEQXCeId4eY7WJGv7f78nprIT/Y1qFxNkfoVNq/nTdBXD/m/zePVB2aSmUrE/3xat6b35W3GvdE4aPgu2PbLKeceZTwYFfsTrb/8Y3lO7Z1aApPOUvPuizIMnISqVfT0Wi1vN2hm+U7g6aNYerHE0S5074OTeEpZyZMdAlqSc/67cjJU7Hw903MeWukpd/+lFiuP7rLsJZ9HOrQOLMOsa1DU3jKmdFkomvDtvRp2plsTS7zdq9mwQefWfr9fP4wWfdvWU45K6xDU3jKWfo1IZbmjLVZh3SymVMmj2JahHhOsa9D48ycUlg/xnpC2RXAxMyhn5F6LQNNnpY+7d6ynFBmMhnp3qoT773RAxDXofm7HIU8hXVoCk85y0y/jAmYOvMz0lIz0Gi09OzzFru//5k9P+5D5ulJYGAAEyaNRmZ+EvR/pQ6Ns/WVngWFMfA88Mw3NP+X4C6sKQ13YU1puAtrFg13YU1puAtrFiOPu7CmJNyFNYvmAHdhTSm4C2tKw11Y8+/hznLpkwX/E3h5dKvndq3/e8/K3HDDDTfccMMNN9xwww03zPifKazphhtuuOGGG2644YYb/8t43vVhnhfcT2jccMMNN9xwww033HDDjf+z+K/eQ+OGG2644YYbbrjhhhtuCLi9WLo+0X8CFce3fW7X+q9+5cxVm9ad3QCnbPUKAIa7zm0m9azg7/TBAiAcLpCjdW7TZEn5Sy47dEH/l5Mb6MsIG+hdsSm14JZ0PYNngaxSKZdshgbQxF13ikfRoqrLdHJ287uvry/6HOcObgDwLqlwyQEQANqTTm4mbVqZv7Q3nOIAKCOv4pIDIJw95ACEgw60ec6Pk9xX4ZLYdvYACBAOgXB2U3WZPkIRRlccjuHswQIgHC7gipznqpjM0zqZH+TC8dbObuj3DnnJ6YMFQDhc4MHms05xlOv/KoBL1hDObuYHYUN/fvI9pzi8gl9Edeiq07L4tavukpwH8PinVKd4SnevS7bW+cNHSskrOM3hxt/Hf/UNjRtuuOGGG2644YYbbrghwL2Hxg033HDDDTfccMMNN9xw4x+G/5knNIWFH2UeMnq07EivVl1E7X/lZjN5/Xx0+XrKlyrLjEETkPs4VnguLCIlk8no3qKDJM+UDV+Sp9dRvnRZZgycgNKm3Wg0MjvmS9IyM/D29mLmp1OpVrmKpX3v77+w5fsdyDxk1KpRk6mRkyQr0RYW6Ey7mom3lxezxnxOtYpVRH20eXkM+WIMs8dOFhXotOVYMG8xGemX8fLy4ovpn1GlqrV46aHf/+CbjdspUQJ69u5Gj15vFWnfwoJhMg8Z3Zp1oGeLTqL2x6pspnyz0GzfF5jeLxJfb7F9jUYjc6Lmk5aRjreXNzMnT6VqlaqW9n0HfmHrzu14yDyoVTOQLz793ME2hUXd0tLT8fb2YsbU6WKOX/azdfs2ZDIPagXWYsqkyUXbd+kC0i5n4O3lzaxPplCtkoR9Px3F7E+/EBUDFHEsW8ilKwLH7PGTJTkGTxzNnAlTJDkKeeZtXUb6jSt4e3oxbeB4qr5kPe/+SMIJ1v17KzKZjB4tO9GrdZcieVyh09y5c0lPT8fb25vp06dTtarVvvv372frVkGWwMBApkyZUqR95yyYZx3rL6aJx+nX/WzdsR0PDw9qBQbyxcSix8nC4+3NzCkSPDvNPDWleYxGI/M2LyX9+mW8vLyZ/tEEsX3jj7P2p614enjQvVVnerd5s0j7Rs1bZomnydMnUKWqlefQ70fZsnEnJUqUoHvvN+ney3GcrEVUM/Hy9GLWqElUfVlcUFiry2Po9EhmjZokKnhnj8JioTKZEJO9WnYWtf+lymbKxgWWnDe9fyRyiZicN3ce6enpeHl7M336NNF4//7772zc+DUlKEHvPr3o1auXpE7OxnUhz6yVUaRdMee8cUXkvCljmD1OOucVorAwocxDxlsN29Kj0RuS/XbG/cxD1WNLYUJbWebOt8szVSXyjIc5z3xetP/OjhYKl3p5eTFr0lSq2swH+377hS3f7cBDZp4PJjjOB67Mea6KybnzzDnCq4gcsW0rMg8ZgbUCmTLZMUcUFsRMu3YZby8vZo74TDIOPp45npkRE4uNA4DQ6uF80nsK/Rf1EX1eWKCzoMDArrid/OvY9iI5YtPP83XsbmQeHrxVvzXdwttJ9vv29H4eqbIZ0e49h7a/s36wX4cUFsUU5n5vZo6aRLWKjrYZMnUcs8d8Lmkbo9HI7HWLhTzj5cWsiInSeWZGJLNGPk2eEdZW3Zp3LDrPmHWa3n+8ZJ5xRd47lnKar37/DpmHjK6N2tOjSQfJfjuO/ZtHuY8Z2aW/pG0WzIshI12w75Tpn9qti46waeM2SpQoQY/eXYtdF7nxfPE/8YQm32Ag+tu1rI6cz1efLWLX0X08yBa/l71uz1Y6N2nHxomLqV21BruO7C2CZw2rIuex4dMofji634Fn/c/b6NS4LRsnLqZO1ZrsOrpP1H4w9g90ej3bV39N5MejiVoVY2nL0+Wx/KvVfL1kLdtWbSRXpeKPE8ckdTp44ih6vZ4d0esZPzCChRuWi9ovZqTSf+IIrt8puljUH4ePodPp2bh5NaPGDmPJ4pWWtoKCAlYsXcuqtYvZuHk1Wzbt4PFfjyV5DAUGFu9ax4pRc1g3bgG74/bzIMfOLvt30OnVNmyIjKJ25Rrsit3vwHPoyGF0Oj3bNmxi3MjRRC2zsU1eHsvXruKrVWvZuv4bVCoVR2IdbXPoj8PodDq2frOZsaPHsihmsYhjxaqVfLV2PVu+3kyuSsWRY9IFpg7GHhHsu2Ij44eOZOHqpaL2i2kp9B/3MddvF70H4/e4I+j0enYu+4rxgyNYuNaeI5UPxw/jxp3i93Ecjo9Dn69n85RljOkzmMXfrrW05RsMRO9cw+oJX/LVxGh2Hdnr4JOu1OnQoUPo9Xq2bNnC2LFjiY6OtrTl5eWxYsUKNmzYwObNm1GpVBw9Km1fYZz0bNu4mXGjxhC1RDxOy1ev4qs169i6cZMw1kWM06Ejh9HpzTwjxxC11I5nzSq+Wr2OrV9tQqVWcSTWkefw+Th0+Xo2T1vB2LeHsHjHGktbvsHAou2rWfPpAr6aHMOuP/by4LG0fY8cjkOn07Nh83JGjh3CssVWnoKCAlYt/YrlaxeyfvMytm36jsd/Oe5tOnjqGHq9nm0L1hLZfzhRX68QtV/MvMSAySO5cbf4InD5BQaid61j5Zi5rI9cyO5YiVy1bzudGrXlqwmLqF2lBj8cc4zJw4cE+27espmxY8ewONpq34KCApYuXcbatWvYvGUTm77ZzF9//eXA4Yq4BpucF7Oe8YMiWLjeLuelp9L/s+JzHgj5aum+b1g6aCqrh8zkpzO/8zBXLHdevo7p3y3l+1O/SHIcOnwYnV7H1k1PyDPfPCHPHPtDGO+1XxM5fDRRK8TzwbL1q9m4fC3b1mwUbHP8P5fzXBaThw+h1+nZstmcIxbb5YiVK9iwvvgccej0MSGu569mXL9hRG1aKWpPzrzEwKmjufHnbUkZbDG4YwRz+i/C28tH9LmnzJNJ785gcExfPozqzTut+lGuZHlJDkOBgWW/byWm7yRWfjiVn+IP81D1WNRHl69n5k+r+OHsb5Icrlg/ABw8eVRYQ0StE3LERse5f8DnEcXmiIOnj6HP17HtyzVE9htO1Ddi+17MvMSAL0Y90b75BQaiv1/LytHzWD8+it2xjmur9Xu30alRG776JNqcZyR0ckHeMxQYWLJnI8uGzGDN8Dn8eOqAdFzviOH74465rhBHDseiN6+LRo79mKWLV1naCgoKWLl0LSvXLuarzavYumlnkeuifzJMBcbn9u954pluaC5dusTSpUtZvnw5Bw4ceGL/mzdvMnr0aFauXMmaNWue2H/5cmtgfvfdd6xatYp58+ZhNBrp378/q1at4tChQ88iMgBX71ynyosVKan0x8vTi/CawcRnXBT1SchMpnmIsIGvRb1GnEqNd+S5K+YJC3wCT8irnLbjOZ+YQMvGzQCoH1yP5DTrZjZvL2+2rtyI3Ff49aKgoAAfb3EStvCkXKBlw6YCT50QkjPFm+L0+XqWffElAVWK/mXlQnwSzVs0AaBeaDCpyWmWNplMxne7t+Dn70d2dg6YTMgVckmeq3dvUKV8RUoqBLvUrxFMQmay2C6Xk2kW1BCA5kGvcjotwVGnCwm0bNZc0CkklJRLKVbbeHuzZd3XyH0FGQwFBfj4eDtwxCfE06J5C4GjXigpKclijq83IZcLHAUGAz7ejhwA5y8m0LKReZyCxOMEoM/PZ9msqCKfqgCcT75Ay0bCGIUF1eNi+iU7Dj3LZyykejG/JAPEZyTTPKQRAKE1gki5lm5pc/DtwBDi06U3P7tCp/j4eJo3F8YoNDSU5GSxfTdv3my1b0EB3kXZ90I8Lc089euFkpJqN9ZffWM31kXEQUK81WekeDbY8Bik4yk+PYkW9cz2rRlE8lVrHFy9nUWVlyqJ7Hu+CPteiL9IsxYCT0hoEJeSreMkk8nYuXujJZ5MRcRTfGoiLRoIMVm/dgjJmY4+s3TSPKpXqurwXVtcuyOOybCawcRfdozJ5uaYbBH8KqcuOea8+Ph4WojG22pfmUzG7t0/4O/vT/bjbEwmEwqFwoHDFXEN5ngqzHl1Q0jOkMh5U7984q/1V+/fpHLZCpSU+wn5qlodEq7ZcRny6RLemoFtektyiPJM6BPyTEHReSY+MYEWTcwxGVKP5Et288Ea8XzgLeW/rsp5LorJ+Ph4mrcoJkdssskRBukccT41iZbh5jioFUzK5TRRu96Qz9LP5jwxDgBu3L/G6NVDHD4PqBDI9XvXyNFkk1+Qz7mM0zQMbCLJce3BbSqXeYmSciVeMk9Cq9Tiwg2xTDpDPp3qtaR/i+6SHK5YPwCcT02kZQPbud8+R+Sz9PP5xcZBfGoiLQrtWzuY5MsSeWbi3KfIM9eFPFOoU40Q4jPtdLqcTPMgs07BjaTzjAvy3tV7N6lc9mVKKsxx/UpdEq6miPro8/Pp3LANg9r3KYIFEuITadaiMSC9Lvp29+Yn5nE3/v/gmV45+/XXXxk7diwA7dq149atW+j1enr27MnGjRvx9vamYcOGnDx5koKCAt59913atm1Lr169mDZtGnv27OHBgwd4e3uTk5ODl5cXlSpV4tGjR5QpU4a0tDSWL19OvXr1yM3NpXz58rRp0waj0YiHhweenp5Uq1b8ZCUFdZ4GP7n1xS+Fr4Jcjfj0HbXW2kfpq0CldTydx7aP0E/u0E+lVVv6KCR41Bo1/ko/y98eHh4YDAY8PT3x8PCg3AtlAdi2aycarZbmr0onWJVGjZ+IR4ahwICnTBjSBkH1i7CGjSxqNUo/qz4eMqssAJ6enhw6eISF82No+Vozy+cOPHka/OTWhYzSR44qT+3Yx7fQLo52K5THQSdb25Q12+a7nWg0Gpo1burAoVKp8fMrmqOsmWP7zh1otFqaNW0mqZODfWUeYvuGPNm+KrV4rGUez84BoLbxKStPAZ4ymYNPKnzl5ErY1lU6qdVq/P39rbLIirDv9u3CGDWTtu9Tj/W3OwSeJo5jbeEpZrxFPFppHnsbyjxkVvva5Q6lXI5KoypCFo1EPBXg6SkDwNNTxuGDx1g0fznNX2ti+dwWKo0af4UNh73P1A2VvLYDT57aEm8ACh/HmLPVTeHrGLOCTmr8/G182Ga8BZ08Ofj7QebP/5LXXmspmSNcEdfwFDkv+CnjKU+L0tearxQ+clR2p7qVlPvRJDCMn89LH2+qsve7ouJg5w40mmLyjPop54PvzfNBI8f5wFU5z5Ux6e/3FDlix3YhJiVyhFqrxq+YOAivU0/y2lI4cH4flcpWdvjcT+5PrtZ62pw6T42/vKS0TnotSh/rwlXhLeUzSpoEhLL3whFpDhesH6BwDWFrG/u5/8k5Qsgzdn73t/KM4/xTbJ6RyENWeZzLe8Iawy6utXZjpPCjaa1wfj57sGgetQa/J6yLDh88ysL5MbQoZl30T8Z/66EAzzQStgP3zjvv0KVLFw4fPszZs2fx8fHBy8uLu3fv0rp1a27fvs3Dhw/5448/uH//Pm3atCElJYVRo0axatUqCgoKGDZsGGvWrCEiIgKNRkNGRgajR49mxYoVdOjQAaVSydatW+nXrx8NGzbk448/fiblVu7+mviMZDJuXiUkoLblc02eRhQ8AEq5Ak2eBl9vH9R5GlGwr9z9DQmZyWTcvEJIQB3L5+o8ragfgJ9ciSZPi6+3Dxq7YAdQKpSoNdYgM5lMIrsajUai1yzj2o0slsxeSIkSJSR181MoUdskBpPRaAn+p4VSqUSjtpHFaHIIznbtW9Om7WvMnDafvXt+pVsP6zu/q/ZsIuFyCpm3rxLyitW+ap0WP7nYLkpfBRpdoV20+NvZpVAetc2NptFodLDN4hVLybqeRcyXUZK28fNTolHbcJgkOJYuIet6FosXLnoG+5qe2b5+SiVqm4RqND37GAEozT5l5THhKZOZ2xSobSZWjYRPWuRxgU5KpRK1uvgxiomJISsri+jo6CLtK4y1nW3sx2mZME4xxYyTIM8TeJabeRZI8wg21Io5Cu3rK7avWqsVLUDFsihE8WQ0mhxuWtq2f43WbVswe9pC9u/5jbd6iPeaCWNklx+eYYxW/XsTCZeTybh1lZBXrLlKo3OMOceYdNTLwb524w3Q/vX2tG3XlmlTp7Fnz8/06NHdkcPJuAbnc96a33ZwISuVy3evE1S5puVzKds8CX5KuzwjpdPSJWRlZbE4qpg8o3yK+WDVMrJuZBEzV3o+cFXOc21MPiFHLDHniEXSOUIpt8udfyNXPQkqbS5KX9sbDCW5GvFroOv++I7EG+lk3rtOcMUals81ei3+vo5PI6UQExPDmUPHXbJ+APMaQpQjnn1eccgzz2jfVT99I51nJHRS+iqsOumk84wzeS8mJobTB46ReSeL4Kq1rLLotJL2exKUSoUo50mti9q2b0Xrti2ZOW0++/b8Stce0vtW3Xi+eKZXzjp16kRMTAxfffUVcrmcnTt3cv/+fcLDw9HpdJhMJl566SVLgqpYsSJt2rRh2LBhtGvXjsqVK7NlyxbLLzQeHh5UqlSJ9evX89tvv1k2BppMJk6ePMmePXswmUyULCn9q8mTMLLnIDZ8tojfF3/LjXu3yVblkG/I53x6EvVrBIn61q8ZTGzSGQDiks4QHhhiwzOQ9Z9G8Vu0mUdt5QkNqCvmqRFEbNJpgefiWRrY8ACE16vP0VNxAFxITiKwek1R+4xF89DpdSyfG2151UAK4UGhHDtzQuC5dJHAV2oU2bco1A8LIS72JABJicnUCAywtKlUaj4ePBq9Xo+HhwdyuS8eHuKJJ6LrANaNW8CB+du5cf8O2epc8g35xGdeJLR6HfG1AoKISxbsezzlLGE1xXYBCA8N49hxs20uJhJYQ2ybWV/ORafXsXThYsurD/YIqx/GsbhYgSMpkcCagWKOubPR63UsjY6xvPYghfCQ+hw7dVzgSUkiMODZ7dsgOJSjZo6ElCRq2Y310yKsZjCxSacASLycQs1K1S1t1V+uyvU/bxXr24VwhU7h4eHExgr2TUxMJDBQbN/Zs2ej0+lYsmRJ8fa1Hyf7sZ43B51ez9JFMUWOtYXneDE88808UUXzhAWGEJtotm9mCoGVbexbsZrYvmmJhBZh39CwYI7HCrF/MTGFGoFWHrVKzYjB4y3x5Cv3pYTEhurwOvU4dk6IyQtpFwmsFuDQpzhEdBvAusiFHFiwgxv3b1ti8nzGRYdcFRYQROxFc85LPkt4zWAHvrDwMLvxttpXpVIx+KPBNjlC7pAjwDVxDXY5L/UigdWfzX+Hv9GX1UNmse/zDdx8dJdsjTlfXUslpEqtJxPYICzMxn8Ti8gzOh1LFz8hz9Srz7GThbZJIjBAbJuZUfPQ63Usm1/0fOCynOeqmAx7yhwRU3SOCK8TwrHz5jhIT37mOHgaXLmbQbUXq1NKURovmReNajUl/so5UZ+P27zDig+/4Odxq7j515/kaFXkFxi4cP0SIZUCi2AWIzIy0mXrB4DwuvU4etZm7q/2N/J4nXocO2/mSHt2+0Z0H8i68VEcWLjTLs846hRWI5jYZLNOyWcIl5r7nch7kZGRrB4+l/3TvuHGgzvWuL6aTL1qtZ9MYIf6YfU4HivMB8K6yJrHVSo1wwaPEa2LpPL4Px4Fpuf37znimW7ra9SoQWRkJAA//PAD7du3p3Jl4VHupEmTJL9T2A7Qo0cPh/bu3R3fNx09evRTffa08PL0ZMI7w4hYMhmT0Uj3lp14sUw5slU5zNoUQ/TI6Qx9832mbYzih6P7KO1fivlDHfXx8vRk/DvDGBkzBaPJSPeWHQUedQ6zNi0hOmIaQ94SeHYf209pv5LMG/q5iOP119py4uwpPoj4CJPJxJxJ0/n5t1/QaDWE1Anih30/0TA0nI8ihwPQr3dfXm/lWGn19WatOR5/mvcnDMUEzB03hZ//+BWNVss7nXs8lV3atGvFqZNn+aj/CACmzZzEL/t+Q6PR0qtPNzp1foOPPxqNp6cnNQNr0PlN6RNDPGWeRPYayuiVX2A0mejW9A1eLF2ObHUuc7YvJWroFwzu9B4ztixm9/FfKK0sxdyBnznwtG/TlhNnTtJv6EBMJhOzv5jB3l/3o9FqCK4TxA97fqRBWDiDRw4TbPNuX9q3EZ80075tO06eOsmHg/pjMsHs6TPZu38fWq2GoLrB7P7pRxqEN2DI8KEAfPDeB7Rv53hazest23D83CneHzUYEybmfjaNnw/+Itj3rZ5PZd/XW7Th+LnT9B07BJPJxLxPpvLzoV/RaDW88+bTcQC0a9CCkynnGDB3LCZMzPzoE/afPIQmT0vvNm8y4b3hRCz+HJPJZPFJSXlcoFO7du04ceIE/fv3x2QyMWvWLPbt24dGoyE4OJjdu3fToEEDhg4V7Pv+++/Tvn17B572bdpx4tRJ+n00ABMmZk+byd5f9gs8QUH88G/zWI8Qnsr2e+992rd1HCcLz+ABgs8U8mg1BNe14Ykw87zryNOuYUtOJp+j/+zRYDIxc8hn7DtxEE2elj5t3+KTvsMZsWiSkDtadeKlF6Q3Drdp15IzJ88ztP8YTJj4Yuan/LrvIFqNlh593qJj53YM/2g8np4yagYG0OlNCbs0bcXxC2f4YOJwwMTs0ZPZe+QAmjwtb3eUfjdfCl4yT8b3Hsqo5VMwmkx0b97BEpOzty5h0bCpDO7cl+mbo/kx7hdK+5Vk7qCJDjzt2rXj5ImT9O8/QLDNrJns2yeMU58+vencpQsfDRqMp6cngbUCefNNxxPgXBHXAK83N+e88UMxmWDu+Cn8fNic87r0eGrbeMo8Gdt5IOO+mYPRZKJrw7a8WKos2Zpc5u1ezYIPHHOTg05t23Hy5Ek+HGjOMzPMeUajISgomN0/mvPMMHOe6SudZ9q3asvxM6f4YPhHYDIxe/J09h74xWqbn3+iYf1wPhpjng/e7svrrds6yuKCnOeqmGzXrh0nTppzBCZmzbTLET/a5YgP3qd9O3EstG/SihOJZ+k3eYSg08hJ7D32Gxqtlrc7dHvi+BSHtxr3ROGj4Ltj21jw3Uw2RG7Ho4QHu2J3cu+xdHFFT5kno1/vR+SOBZhMRt6s35ryJV8gR6ti/t71zO8T+cTrumL9APB609acSDjDB58NE9YQY6fw85EDQhx0eroc0b5JK45fOMsHn48Q/G7U5+w9+puQZ57Bvl4yT8b3+ZhRyydjNNrnmRgWDZsm5JlNi/gx1pxnPnJcW7ki73nKPBnXdRBjN8zEaDLStdHr1rj+fiUL+kuvUe3Rpt1rnDp5lsH9IzBhsqyLtBotPft0o1Pn1xn20RjzuiiAzm9Kn5DoxvNHCZPJ9HxvoZ4jNMeynOZQvFbNJVV+AQx3nasO7VnBn4JMF1TNrvkCOVrnqjGXlL9E7m+XnZbF/40aLqkmDrikanbBLceTp54VskqlMF5/7BSHR9XSAGjirjvFo2hR1WU65eU5WQnc19dlVcn12c7xeJcSXhfRniz+hLknQd60Mn9pbzjFAVBGXsUlVbNVB684LYtf+wC0ec6Pk9xX4ZLYLrjigpwX8AJ/fS99mMPTokwfYd+GTu1knlHKyb/v3FwA4FXe3yU5z1Uxmad1Mj/IhSdQ+ovOzU3eIS9RZ2hFpzgALq2/zYPNZ53iKNdf2AzvijWEIe2BUxwAnrXLkZ98zykOr+AXUR266rQsfu2quyTnATz+KfUJPYtH6e51ydZK38w+C0rJKzjN8TxwfZbjSXP/KVSd9vxex/s/+KzMDTfccMMNN9xwww033HBDwP+94xnccMMNN9xwww033HDDjWfG864P87zwX/3KmRtuuOGGG2644YYbbrghIGv6z8/tWtVmvvXcrvVf/YTG2f0HIOxBUP9xzSkOZZtXBHlOOPeuvaJZFZe9u/rn+hNOcbw0tJnT77+C8A7svnJP3lBZHLo8EKprX5202yme6l/2dNouINjm/jdnnOIoP1Ao0KiLv+MUj0/4yy7bS+aK98n/+iH5yR2fgDK9gl3yHjjgEh5n4xqE2M7Zl/7kjsWgZJdaTr+rD8L7+q6KA1f4jLMxAEIcuCKWwDX72ly11+lck0VOcTQ89Qk3F0hXtn8WVJ74BndXxTrFUSGiJYBLeJz1OxB8z9m9OJfW3wYg99dMp3j8O9bk4Y4EpzgAyvYNc8keJWf3HoKw/9DZfbj+bwgnvLlij9Kd5Ued4gB4eXQrpzmeB/5b69C499C44YYbbrjhhhtuuOGGG/9n8V/9hMYNN9xwww033HDDDTfcMOM514d5XvifuKExGo3M27qM9BtX8Pb0YtrA8VR9qZKl/UjCCdb9eysymYweLTvRq3XRx8wduXCS9Xu3IfOQ0b1FB3q9Ju77lyqbKRu+JC9fR/lSZZkxcAK2tWqNRiPzNi8j/cZlQZaPJohliT/Bun9vQeYho8drnejVxrGuQyGOJp5k/T5Blm7NO9KrZWdHWTYuQKfXUb50Wab3H4/c27E4W9zleDYd/zcyDw+61HuNrqFtJK/33blfeaTOZnird0SfG41GZq+NJv1aJl6eXswaNYmqL1cW9dHq8hg6PZJZoyYRULlakTq92DGYmp90wGQwcnP7KW5sOSnZr0yzAMLW9ONw/VkObfK6FSjTrg4mownV2Sxyz1wTtctKySnfpwHISgAlePhDPPkPVC63SyFiM87zTexuZB4y3qzfmm5hjnWFAL47/QsP1Y8Z0fY90edGo5G5G2NIyxJ8ZsawT6lawWrfP84dZ+2uTYL/tulCn/ZFv7N6JOEE634WfKZHy470amXnv7nZTF4/H12+XvDfQROQ+zj6TGz6eb6O3Y3Mw4O36remW7hjPQqAb0/v55EqmxHt3nNoO5Z6ho0Hv0PmIeOtV9vTo7H0ef47Y/fwUPWYkZ0+dGgzGo3MXrdY8D0vL2ZFTJT2vRmRzBop7Xuu4CjkcVlsXzzNhgM78PSQ0bXJG/Rs1lHU/liVzRdbFqHL11Ou1AtM7zsW+/LDRy6cZP2ebchk5lwlMdZTNnxJnjk/zBgoPdYuiwMnfcZVceAKHlfOKUIe345MJqNbsw5F53FzTE7vHymZx0u1DODlwc0xFRh5uCeJBz+Jj6n2fEFB9VlvUsJLRv4DNddm7Xfg8K1RjpItAjAZTWiSbqO+cEvULvP3pUyXIEp4CLnzr19TMDxyPPY57koCm07tEXwmuCVdQ1pL6v6v+N94pM5mWMs+ku2u4HFFrgIIrR7OJ72n0H+R+BptQ98gomskBQUGdsXt5F/Htkt+H+Bo0ik2/LpDmLObvkHP5p1E7Y9V2UzZFGUe6xeY/sE4fCXGOjbtHBuPfC/kzvC2dG/oWNMK4NsTe3moyibijfdFnxuNRuasX0zatct4e3kxc8Rnkjnv45njmRkx8Qk5bynp1y/j5eXNdIecd5y1P23F08OD7q0607u4nJd0ig37twu2adaBni0kbPPNQqtt+kXib8fhqpx3/OoFNp3Zg6yEjC5BLXgrWPpVsn8l/M4jTTbDmvcuUi83nh/+J145Oxwfhz5fz+YpyxjTZzCLv11racs3GIjeuYbVE77kq4nR7DqylwfZ0nUP8gsMRP9rDavGzmPDJ1H8cGy/Q9/1P2+jU+O2bPx0MXWq1mTXUfF534fPm2WZupwxbw9h8c41Yll2rGb1Jwv46vPFgiyPi5Hl+7WsHD2P9eOj2B27z1GWvdvo1KgNX30STe0qNfjhmOPZ44YCAysO7yD67U9Y9t7n7LlwhIfqx6I+unw9s/euZXf8IUlZDp46hl6vZ9uCtUT2H07U1ytE7RczLzFg8khu3L0l+f1ClPD0oO7s7pzus4aT3VZQpX8zvF+0T1ngW7E0ARFt8PCUOZJ4lKDsm/W4uzGOO+uO4t/4FWR+PqIuZToEkXPiCnfXxZJ9OI0ynRwrpLvCLoU8y3/fyuL3JrGi3xf8O/4QD1WOPLP+vYofzku/y37obCw6vZ6ts1cx9v2PWbRltaUt32AgavMK1k5exNfTl7Lr4B4ePH4oyZNvMBD97VpWR87nq88Wseuoo8+s27OVzk3asXHiYmpXrcGuI3sldVr2+1Zi+k5i5YdT+Sn+sKROM39axQ9npXUyFBhY+vPXLB08ndUfz+an0wd4mPuXqE9evo7p3y7h+5O/SHIAHDx9DH2+jm1friGy33Civlkpar+YeYkBX4zixp+3/6Mc4LrYNhQYiPlpAyuGz2btqPnsPvELD3LEttlwYCcdG7Zm/ZgF1K4UwA/HxTYSxnoNqyLnseHTKH44WkyumiidqwplcVUcOOszrooDV/C4dE7ZtY6VY+ayPnIhu2Mlxmnfdjo1astXExaZ87jjjQgyDyqPa0vGmH+RPnwn5XrUx/MFhahLhQFNeLg3mfRhO8m7+pDyPeuLOTxKULp9be5/e57728+irF8JD6W3qEvJ12qgOn+D+zvOkXPyKqVa1XQQxVBgYOXRb4nuOZ5lfSayJ+koD9XiWlg6g545v6xn94XifcZZHlf4HcDgjhHM6b8Iby/xXOIp82TSuzMYHNOXD6N6806rfpQrKV1411BgYPHu9ayImM26MV+y+/gvPMixG+tfdtDp1dZsGLeQ2pUD2BXnONaGAgNLf9nEkg+nsGrgDH469zsPcx11mrFrObvOHJCU5dDpY+j0erbNX824fsOI2iTOecmZlxg4dfRT5Txdvp7N01Yw9u0hLN4hznmLtq9mzacL+GpyDLv+KD7nLd61jhWj5rBu3AJ2x+13tM3+HXR6tQ0bIqOoXbkGu2LFtnFpzov9lkXdIlna61P2JBfhdwc28GPS4WLt80+FyWh8bv+eJ/4nbmjiM5JpHiJssg6tEUTKNevm26t3rlPlxYqUVPrj5elFeGAI8enSBdiu3rlOlfLWvmE1g4nPvCjqk5CZTPNgoZhWi+BXOZ0abyfLRZrXM8tSM4iUq39Plmv2stQIcZTlcjLNgwplacSpS/EOPFmP7lCp9Iv4+yrxknlSr3IgiTfFm5P1Bfl0DG5B/6bSv3jGpybSokETAOrXDiE585L4+/l6lk6aR/VKVSW/Xwi/Wi+hufoAQ7YWU34Bf526ygtNA0R9PHw8CYl+m4uf7pLk8HrRn/yHaozafCgwkZf1EJ/qZUV9Hu1NQnPJXETLowQmQ4EDjyvsAnDt4W0qlXmJknKBJ7RKbS7cSBP10Rny6RTyGv2bS1dEjr+URIuwxgDUDwwm5Yr1+1dvZVGlQiVK+pl9pnY9zl8qxn9t/atmMPEZEv4bYvaZeo04leroM9ce3KaySKda0jrVa0n/FtI6Xb13k8plK1BS7oeXpxf1X6lLwjVxcTS9IZ8u4W0Y2LboX7/iUxNpEV7oe8EkX5bwvYlzi/U9V3CA62L76p83qFzuZUoqBNuEVQ8i4Yr4MIWEKyk0q9MQgOZ1X+V0+gUxx13x9cICnzDWIY65ClwYBy7wGVfFgSt4XDWnXLtzQ8jjCps55bLdWF9OpnmQMNYtgl+VzOPy6i+gu/mYglwdJoMR1YWb+IWJf3G/GXOYR7+kQAnwfsmf/EfioqdeZZUY/tJg0hnAaEJ38zE+lUuL+mQfTifvslDgsUSJEpLHv9r7TGjFQBJv2/mMIZ+OdZvxYeOif7F3BY8r/A7gxv1rjF49xOHzgAqBXL93jRxNNvkF+ZzLOE3DwCaSHFfv3qBKuZctY10/IIgE+7G+kkKzuua4DnqV02kJjjrdv0XlFwpzpyf1q9bhwnVx7tQZ9HSu34oBr/WUlOV8ahItC3NerWBSLottojfks/SzOU/OeelJtLDJeclXbWLpdhZVXqokioPzReW8u+I4qF8jmIRMxzhoFlS0bVyW8/66S6VSNjnv5UCS7mQ42KdjnWb0e/X5FY38X8H169dZuXIlK1ZYfxiPiooiJiaGkyel39gpxFPd0MybN49Vq1axatUq7t1zPBXo5s2b/PDDD08t8A8//MDNmzcZPXo0K1euZM2aNU/8zvLly5+a3x5qrRo/ufXFL5mHB4aCAnObRtSm8JWTq5Wubq3OE/dV+spR2fVV5VmvpfBVOLSrtRr8FEXJoha1KXwVRcqiynOU2+FaNn0UPo7tAGqdFqWP9Zc8hZcvap24+rS/r5LGr4RIygGg0qjxt5Hbw8MDQ4HB8neDuqG8XP6lIr9fCE9/X/JzrdWmDao8PEuKHwcHL+jNlZWH0d3Ntv+6cG0fL4x5+Za/jToDHr5eoj5GjR6MJrzK+fHCm/V4/PslexqX2KWQx8/XhsfbF7VO/IpGSbmSxgH1iuRQadX4yf2sOtrYV6VV42/TppQryNU4vj4Hjv6r8FWQq5HwT3MfpYT/Aqj1WpQ+chud5KjyHHVqEhBapE5qnRalrV185KjyxNcqKfejSa2wIjmg0PekbQNm3ytXvO+5ggNcF9vqPI3YZ3wdbWPrV1K2s89rkrlKW3yuKryOS+LABT7jqjhwBY+r5hRVnho/X5u+EnlalMclfAHAQ+lDgUpn+btAk+/wZNqsLEE7BuHfsArqRPGv7yW8PTHqrH5v0hdQwscud2rzwWjC8wUFpdoFkhPneFqbWp+H0ts61nJvaZ9pVO1JPuM8jyv8DuDA+X0YCvIdPveT+5OrzbVeL0+Nv9z+5c/CNruY9JGj0moc+/jazNl5jq/zOc4pUjr50aRmffuvWjns8pF9zguvU48KT5vzRHEgs8aBvb5yOapi5yarTkqpnGZrG6n1jqtynl6Ln7etz/iikvK7qo5vdrjhiJycHG7evOnwLycnR7L/r7/+yqBBgyhTpgyPHz8GYMCAAXTq1Im7d+8We62n3kPj6Sl0/eKLLwgLC6Nly5acP3+e/Px8XnvtNUwmE4sXL8bLy4vXX3+dH374AX9/fz766COWLVuGQqGgb9++bNu2jaysLBo3bkzbtm3p1asX06ZNY8+ePTx48ABvb29ycnLw8vKiUqVKPHr0iDJlypCWlsby5cupV68ebdq0eVqxAVDKlWjyrA5pNJnwlMnMbQrUNslAk6cVLW4AVv74DQmXk8m4eYWQ6nUsn6vztKLJD8DPV7iWr7cPmjzxAqfwehqb64llUaK2kVOTp3GQZdVPZlluXSXklTo2fR3lVvoqrLLoxLKuj91F0s10Lj+4SVAF61MQTX4efj7iVxWeBD+FErVNYjaZTHjKnn57Vq3PO1OmaQD+QS/z+Jz1SFRPP18M2dYbHJ8KJSnTNABF9XLwaUe8yigIW2/dV1Hh45Z4VyiF7ob1MbOHj6cwCdvBN6AcZXuEcf/bs6L9M66yy7oj/yLxZhqX790gqGINK48+T7SAeRr4yZV2PmO02NdPrhT5r1rr6DMrd39NfEYyGTevEhJQ2ypLnkZ0IwpW//T19kFt53/r/viOxBvpZN67TrBIJy3+vk9nmzUHtnPhWiqX72YRVCXQyqHT4v+MdgEJ3zM+m++5igOcj+3V+7aQcCWFzDvXCK5ay6avFn9fu9j2kaPR2ca2YLuVu78hIdOcqwLscpXd9fzkdrnKZjHgsjhwgc+I5f37ceBKHmfnlFX/3iSdx23G0nItX4V1rO3mnIrDWuBXvzLymuVQJ1sne5nCS3SDY0GBkZT3vsa/UVVemS7s1Sn5Wg18KpfGq7w/+jvWH4pKeMsw6Rxzp0/VMpTuUIdHPyeL9s9sOP4DSbczufzgBnVtfEarfzafcQWPK/2uOKi0uSh9bRfRSnI14h/bYmJiOP17HJm3rxJSzZp/1TqtKOaE7ysk4xpg7cGdJF5PI/PPLIIr2+ROvfaZ5xSlXJzzjE7kPLUoDozWOPBV2MWSFn+lXRzs2UTC5RTBNq/Y20ZiPSOKA0HnmJgYzhw67nTO23ByN0m3M7ny8CZ1X7LJec/ov/8XYDI8v1fBNm3aJHraUohRo0YxevRoy98bNmzg0qVL7Nmzh379+gHCHi2A3NxcDh48SERERLHXeioP9vf35+OPPwYgLy+Pbt26cebMGTQaDREREWRkZPDo0SMqVqxIr1692LJlC9WqVeP+/ftcuXKFvLw8XnzxRb7//nt69OhBUpLw2PGPP/7g/v37tGnThpSUFEaNGsWqVasoKChg2LBhrFmzhoiICDQaDRkZGYwePZoVK1Y88w1NWM1gjl44QYfGrUm8nELNStUtbdVfrsr1P2+RrcpB4SvnfHoS/Tu9Lfr+yB4DAeF95z4zhpKtzkHhI+d8RhL93xBvEKxfI4jYi6fp1rwDcclnaVBT/OtRWM1gjiacpEPjNiRmplCzcjGypCXRv7N4g21Ed6ssb8/8mGx1LgofX85nJPHhG+JXc8JqBBObfJpuzToQl3yGcBtZhrYU+hoKDHz49RRytCrk3r5cuJnGe6+KN6U+CeF16vHHmTg6tWzPhbSLBFYLePKXbJA+X3gXtoSnB62OT8KrtAKDWscLzQK4ssL6jqrubg5Hm863/N0+eSYJQ7dQsWcDAO6uiwWPElQe/zoeci+MegO+r5Ql+6j4cbFvQDnKdg3lz41xGB6Lf3lxlV0+bv22haff+okWnoQbl+jb5NkeU4fVDuHIueN0bNaWCxnJBFax2rd6pWpcv3vT4jPnLiUyoOu7ou+P7DkIEN4x7j1tiNjXO4p9vX7NYGKTztCtRQfiks4QHmj1mY/bvGPR6YO1n1ltc/0S7zcp+tURWwzv8L6F472YsWRrclF4+xJ/NYX3Xyv6lY+iEF6nHn+cjaNTi3ZcSEt+Zt9zFQc4H9sjugg354YCA+98GWGJ7fgryfRr20vUt371IOJSz9K18escTz1LWIDwa+HIngMBYaz7TLfJVelJ9O8gkauSTgtjffEsDQJdnx9c4TOFcDYOXMnj7JwS0W0AYM7js4bZ5PGLfPi6XR4PCCL24hm6NXuDuOSzhNe0/jJ8e22c8B+ZB8HfDkJW0hejRo9feGX+3CauxVLl09f561AaqnM3KNDowVxTO+eYuRaIRwleGtycEr6emPQF+FQpQ+5pcQ0rn6plKNW+Ng++i6cgJ0/UNqS54KOGAgP9t0wlJ0+F3MuXC7fTebeh+FCL4uAKHlf6XXG4cjeDai9Wp5SiNBqdmka1mrLxgPiNk8jISHKDumIoMPD2vBHWuM68yIft7OI6oC5xKWfo2uQNjqdY4xpgWPv3LDq9v3ICORrznJKVyvvNuz6T3OF1Qvjj7HEh56U7kfMCQziScIKOTYScF2ib8ypWs8t5ifTvbBcHXQdYdHp7znCxbdrb2yaIuOQzdG1qto15PRMZGYm6YU+nc96Qpj0tsgzYPp2cPDVyLx8Sb6fzbniHv2UfN4SnKz17Or76WLKk+EnmkCHCK50RERGsW7cOuVxObm4u9+7dY9q0abRp04Zz587RqFGjIq/1VDc0ubm5rFq1ChBeLwPhV3iTycTy5ctp164dZcqU4dq1a2zcuJG2bdvy73//Gw8PD3x8fPD29iYvL4+3336bb7/9lqtXr9KwYUPatGlDr16C0+bk5LBlyxbKli3LvXv38PDwoFKlSqxfv54XX3wRDw8Py3WfFe0atOBkyjkGzB2LCRMzP/qE/ScPocnT0rvNm0x4bzgRiz/HZDLRvWVHXixTTpLHS+bJ+D7DGLl0CkaTke7Nhb7Z6hxmbV5C9IhpDHnzfaZ9HcXu2P2U9ivJvMGfi2Vp2JKTyecZMGcMJpOJmYM/Zf+Jg2h0Wnq3eUuQJXoSJqOJ7q91eoIsHzNq+WSMRhPdm3fgxdLlyFbnMntrDIuGTWNw575M37SIH2N/obRfSeZ+NMmBx1Pmyai27/HJ99EYMdIl5DXK+5chR6tiwYGvmdt9tMTVxWjftBXHL5zhg4nDAROzR09m75EDaPK0vN3x6RepJoOR1Kk/0ehfwyjhUYKb206hu5uNV2kF9Za8y/mBXz+ZxGji4d4kKnzUAkpA7tksCnLy8JB7Ua53A+5tPcULXUNB5kG5d4T3cfPvq3i4O8HldrHwtP+A8TsXYMTEm6GtKe//AjlaFV/u28C83uOeyNG+0WucTDrLh1NHYsLE7OET2Rv7O9o8LX1e78onH45k+LxPMZpM9GzTmZdekN6U6uXpyYR3hhGxZDImo5HuLQX/ylblMGtTDNEjpzP0zfeZtjGKH47uo7R/KeYPlfaZ0a/3I3LHAkwmI2/Wb035koJO8/euZ36fJxdK9ZR5MvbNgYzbOAujyUTXV9vzYqmyZGtymffDKhb0m/hEDoD2TVpx/MJZPvh8BJhMzB71OXuP/ib4Xoduz40DXBfbnjJPxnUfwui10zCZTHRt8gYvli5LtjqXOd8uJ+qjyXzU4R1mbF/CjycOUNqvJHP6fSLi8PL0ZPw7wxgZY85VLW1y1aYlREdMY8hbwljvPmbOVUM/l5TFVXHgrM+4Kg5cwePSOaX3UEYtn4LRZJ/Hl7Bo2FQhj2+O5sc4cx4fJBEbBUZuLjlM4NI+4AEP91wk/74KWUlfqk3uwJVJ/+bed+epNvENGGzCZDRxfeHvBH/7kZXDaCL7UBrl32kAJUqgTryFUaWjhK8nL3QK4uGPiZRqX5sSMg9eeFNYaOc/0vD4V/H+DU+ZJyNbvcsnu2MwYaJLUEvK+5UhJ0/Fwt83MeetkU8ca1fxuMLvpPBW454ofBR8d2wbC76byYbI7XiU8GBX7E7uPZZ+LcZT5klkjyGMXj0Vo9FIt6bWsZ6zYylRQ75gcIf3mLF1MbuP/0ppZUnmDvhMkmdMx/6M2zoXk8nEW+FtBZ00Kub/ew3z3/tE4upitG/SihOJZ+k3eQQmE8weOYm9x35Do/07Oe8c/WePBpOJmUM+Y9+Jg2jytPRp+xaf9B3OiEWThPmmVaciY9JT5klkr6GMXvkFRpOJbk3fsNpm+1Kihn7B4E7vMWPLYnYf/4XSylLMHSi2jStz3siW7/Dpv2MwmUx0rlvod2qiDm1idpfinxL8X4DU3rf/FEqWLOlw81IcAgICGDt2rOiz77777qm+W8L0d+4Q/o/A2YrOIFR1Vv9xzSkOZZtXBHmcrCiuaFYF1aGrTnEA+LWr7nQl8JeGNiM/9b7TsnjVLc++cn9vUilElwcxAFydtNspnupf9nRZhfT735xxiqP8QOFXCFdUN9ccy3pyxydA8Vo1l1R9/+uH5Cd3fALK9AomP9lxL9+zwCv4RQCX8Dgb1yDEds6+9Cd3LAYlu9RyumI2CFWzXRUHrvAZZ2MAhDhwRSyB8/OKokVVVAcd9548K/zaB3CuySKnOBqe+oSbC4o+3etpUXniG9xdFesUR4WIlgAu4XHW70DwvTpDKzrFcWm9sE8p99dMp3j8O9bk4Y4EpzgAyvYNQ3/xT6c4vENeQnvyptOyyJtWJve3y05x+L8hvE7obN5TtnqFO8uPOsUB8PJo6eOd/2m4HPmv53atGjFvP7mTi/A/UYfGDTfccMMNN9xwww03/tfxPPfQPE/8Txzb7IYbbrjhhhtuuOGGG278d8L9hMYNN9xwww033HDDDTf+B/A899A8T/xX76Fxww033HDDDTfccMMNNwRkROx4btcKXNX3uV3rv/oJjbObbEHYaJvzS8aTOxbH0Uk4M97ZTfRedcujPe2CzXiNK5N39pZTHL6vVnKaw8Jz7vaTOxbH0VDYuKm7UHzRpSfBp36Ff5R9AZdsmnSVTq7YVO3shlQQNqU6u6nar71wTKmzByYoXqvmMvu6QhZnYwmEeHIVjys267pqA72rfMYVOrnqIAlnfU/euPI/xmcK87grcp6rDsdwxWZ+wCWHCzhrF3CNbZStXnHZQTOumiedPaRA3rSy0+sHENYQ/xfg3kPjhhtuuOGGG2644YYbbrjxD8N/9RMaWxy9eJoNB3bg6SGja5M36NlMXKDrsSqbL7YsQpevp1ypF5jedyy+3r4SPKfY8MtOPGUeAk/zTo48mxehy9dRrlRZpr8/FtsTuI1GI7PXRpN+LRMvTy9mjZpE1Zcrizi0ujyGTo9k1qhJBFSuJqmP0Whk3qalpF+/jJenN9OHTKDqS5Us7UfOH2ftj1vxlHnQvVVnerd1LCZmNBqZ+7XA4e3lxfQhn1C1gpXjj/PHWbd7CzIPGT1ad6J3u7eKlMV1PEtIzzLzDP1UzHPuOOt2bxZ42nSW5DEajczdEENaVibeXt7MGP4pVStY7fvH2TjW7tokcLTtQp/XpQuS/ZPsC3A06RQb9m9H5iGjW7MO9Gzh6HdTvlmILl9P+VIvML1fpIP/ukynjTGkZV3G29OLGcPs7HvuuGBfmYwebbrQp33RYz1n/WLSrgm2mTniM8k4+HjmeGZGTCwyDgCOJp5k/b7tyGSCbXq1FBd+/EuVzZSNC8y2Kcv0/pHY134/knCCdT9vE8aiZUd6tRIXP/0rN5vJ6+dbOGYMmoDcx/X2dUYe21rWroglV/IAHLlwkvV7tiGTyejeooOkTlM2fEmeXkf50mWZMXAC9vXP/85Yy6XyuCt85m/oI+kzm5eRfkOIp2kf2flM/AnW/ducI17rRK820jHpCr/7J/rM38l7/nYcrhgniyy/7hBkaSo990/ZFGWV5YNxDrIAhFYP55PeU+i/SFz0sW3oG0R0jaSgwMCuuJ3869h2l9pFaj3jbEwajUbmbVtO+o0rgv8OiBT73hPymC2Ps3OlEEvmOPDyZrpDLB1n7U9b8fQwx4FELFlkccEa4p8M9xOa/8MwFBiI+WkDK4bPZu2o+ew+8QsPcv4S9dlwYCcdG7Zm/ZgF1K4UwA/Hf5Hm2b2BFRGzWTv6S3Yf/9WR51czz9iFAk+cmOfgqWPo9Xq2LVhLZP/hRH29QtR+MfMSAyaP5Mbd4h/FHj4Xh06vZ/P0FYx9dwiLt1urE+cbDCzatpo1Exfw1ZQYdh3ey4PHjxw4Dp2LRZ+vZ8vMFYx9dyjR21aLObauYs2khWycWjSHS3nOmnlmrWTsex8TvW2VHc9K1kyKYuO0Jew69LO0Tmdi0eXr2Tp3NWPf/5hFm8UcUZtWsnZKNF/PXMaug3t48PjhP96+hgIDi3etY8WoOawbt4Ddcft5kCPuu37/Djq92oYNkVHUrlyDXbH7/zM6nY1Fp9ezdfYqwb5bxDpFbV7B2smL+Hr60mLte+j0MXR6Pdvmr2Zcv2FEbVopak/OvMTAqaO58Wfxr7HkFxiI3rWOlWPmsj5yIbtj9/Mg2842+7bTqVFbvpqwiNpVavDDMbFt8g0Gor9dy+rI+Xz12SJ2Hd3nwLFuz1Y6N2nHxomLqV21BruO7HWQxRX2dZU8roglV/IIOq1hVeQ8NnwaxQ9HJcbp5210atyWjRMXU6dqTXYd3SfmcMFYu4rHFfoAHD4fhz5fz+apyxnz9hAW7xT7TPSO1az+ZAFffb6YXUekfcZVfvdP8xlX5D1XjZOhwMDi3etZETGbdWO+ZPfxXxxl+WUHnV5tzYZxC6ldOYBdcY6+N7hjBHP6L8Lby0f0uafMk0nvzmBwTF8+jOrNO636Ua6kdBFKV80HrrDN4fjjgv9OXsqY3oNZ/K91dvzF57FCuGKuPHw+Dl2+ns3TVjD27SEs3mEXB9tXs+bTBXw1OYZdfxQTBy5aQ7jx/PE/cUNz9c8bVC73MiUVfnh5ehFWPYiEK+ICfwlXUmhWR6gc37zuq5xOv+DIc9eOJyCIhMsSPHXNPEENOZ2eIGqPT02kRYMmANSvHUJy5iVRuz5fz9JJ86heqWqxOsWnJ9EiVCi+GFoziOSraVY5b2dR5aVKlFT64+XpRXitEM6nJTlypF2keX0zR+DTcCRKy+IyniSahza28lxJd+TxM/PUrsf5S4488ZcSaREmcNSvFUzKZRtZbmVRpYItRyjnU4uQ5R9k36t3b1ClfEVKKoS+9WsEk5Bp53eXk2kWVOh3r3I6LeE/o9OlJKt9A4NJuVKcfetx/pIjB8D51CRahpvjwG6cAPSGfJZ+NueJcXDtjtg2YTWDibePycvJNDfbpkXwq5y6FC9qv3rnOlVerGjVvWYw8RkXxRyZyTQPeVXgqNeIU6liDnCNfV0ljytiyZU8V++KdQoLfIJOIa9y2k4nV4y1q3hcoQ9AfMZFmtez+kzKVRv72vtBYAjx6RIx6SK/++f5jPN5z1XjdPXuDaqUe9kqyxPnfukcfOP+NUavHuLweUCFQK7fu0aOJpv8gnzOZZymYWCT/5hdXGWb+MyLlvbQGnVJuVaM/0rkMQuPC+bK+PQkWtR7yjgIDOG8RCyB69YQ/2SYCkzP7d/zhEtfOdu3bx+PHj2iVKlSXLt2jezsbMaNG4efn/3Derh58yYLFiygTp06yGQyhg8fXiz38uXLGT169N+SS52nwc/X+kKGwleOKk8t7qPTWvoofBzbLTxy6wNXSR6bayl8FKi0GlG7SqPGX2Hl8PDwwFBgwFMmDEWDuqFPp5NWg58Nj8xDhqGgAE+ZzKFNKZej0qokOfzl0hwqrZ2ucgUqjaNNXM4j0snDyqMR66TwlaPSOvKo7HS3ta9KK7a9Ui4ntxhZ/jH2zdPgJ7f6r1LCPwW/E/iKso0rdFJp1fjJrfHsYF+bNqVcQa7GkUOQRV3kOAGE16kn+T0HefLUFr3BHLtaCdvIbWwjZTtRXCsc/EJtM15KX8V/zL6ukscVseRqHludlBJ9Bd8qHCdHnVwx1q7icYU+Fp4i7GsfIwpfBbn/Sb/7p/mMC/Key8bJLiaVPnKHuV0ki48cVZ64HeDA+X1UKlvZ4XM/uT+52lwbLjX+8pIO/ayyuGg+cNI29hwi/32KPGbL4+xc6SiLrEhZlHI5qiLmJletIdx4/nDpDU2XLl3YtGkTN2/epEyZMrRt2xaAOXPmULp0aV599VWOHDlCQUEB7777Lm3btqVXr15MmzaNPXv28ODBA7y9vcnJycHLy4tKlSrx6NEjypQpQ1paGsuXL6devXq0adPmqeRZvW8LCVdSyLxzjeCqtSyfa/K0+PuKb7KUPnI0Oi2+3j5odFpRcK3eu4WEK8lk3r5GcLXaYh6bfiAsLqw8God2P4UStU0iNJlMlkXcs0ApV6DO01r+NhqNeMpk1jaba6i1WvwVjjeVxXH4yRVobBKyRquR5HA9j7Wv0WTDo1Cg0VqvocmT1slPrkCjteWw2tdPrhTxq7Va/JXPrtPzsm9MTAynf48j8/ZVQl6x+p1apxXdVICd30n4pat08pMrRXILY1SUfYsba3EcGI3PFger/r2JhMvJZNy6SsgrdSyf28cuSNlGkCkmJoYzh46TcfMqIQG2cS1ekAnyCuPl6+2DOk9aL2ftu3L318RnJLtEHlfEkit4Vu7+hoTMZDJuXiEkwDpOaom+gm8VjpN1AeKKsXYVj9Vn/r4+9vYVx5PJxmeUIn/S/If8Tszz/99nVu3ZRMLlFKfyniv8DmDVz5uFNcTtq4RUs5eluLlfOgcXBZU2F6Wv7c2FklxNtsvt4krbQKH/2vierf/6iv1AKo/Z8ji7hnDgsPE7e1mKm/tdtYb4J8O9h+YpcPXqVQYMGMDFixfp1KkTcXFxpKWlUa5cOQoKCsjPz6d169bUqVOHhw8f8scff7B27VratGlDVlYWgwYNIjs7G4PBwEcffcTVq1f54IMPaNOmDYGBgYwePZqLF6UfWUphRJcPWTtqPr/O2sLNB3fIVueSb8gn/koy9WwmNID61YOISz0LwPHUs4QFBFt53vyQtaO/5Nc5W7l5/7aV5/JFCZ66xKWYeVLOEVYjWNQeXqcex86dBOBC2kUCqwU8vYFtEFYrhNiEUwAkZqYQWKW6pa16xWpc//MW2aoc8g35nE9LJLRmkANHuC1HRgqBVQLEHHetHOcuJRIa6MjhUp7aT+K5aeVJvSDJE1a7HsfiBY4L6ckEVrWxS6VqXL8j5qhfK9iBA/4Z9o2MjGTduAUcmL+dG/dt/DfzIqHV7fwuIIi45DMAHE85S1jNkP+ITmG1QzgWb/bfjGSxTpXsxuhSYpH2Da8TwrHzZp705GeOg4huA1gXuZADC3ZwwyYmz2dcJDSgrljmgCBiLwq2iUs+S3hNQabIyEg2fLaI3xd/y417t626pydRv4ZY9/o1g4lNMnMknSE80PX2HdlzkMvkcUUsuYJnZM+BrP80it+izTqprTrZj1P9GkHEJp0WdLp4lgZmnVwx1q7iiYyMdFof0XVqBhN7QeiTmJlCzco2PvNyVTufSaK+VEy6IK7hn+MzEV0HOJ33XOF3ABFv9WfdmC85MHcbNx48SZa6xKXYyBIgnfukcOVuBtVerE4pRWm8ZF40qtWU+CvnXG4XV9oGzP5rbk+8nErNSq9Y2qq/XJXr924Vm8cK4Yo1RFhgCLGJNnFQ+QlxUIQsrlpDuPH84dLCmtu3b0elUlGhQgWuX7+ORqOhV69efP/995hMJpo0aYJSqeTWrVs0btyY06dP06tXLwB+/PFHcnNz8fb25t69e4wePZqffvqJe/fu8eKLL3L9+nVGjx79TK+e2dahKTzlzGQy0bXJG7zT8k2y1bnM+XY5UR9N5mHuX8zYvgRNnpbSfiWZ0+8T5D6+DnVoCk85M5mMdG36Bu+89pbAs3MZUYOn8DDnL2Zsi0Gj01JaWZI5/T/lpe7C6zP5qfdtTjm7DJiYPXoyqZfT0ORpebtjd8t1Bk4ZxbQRn4pOd7KtQ2M92eYKYGLm0M9IvZaBJk9Ln3ZvWU62MZmMdG/Viffe6GHhKayTUniySMaNy5hMMGvYZ6RezUCjEzgKTxYxGo30aN2Z9zpYOWzr0DjNY65fUHg6Tsb1K5hMJmYNm0jqtXRBp/ZdLafjGI1GerTpzHsdegocNnVoCk8oSb9+GZPJxOyISaRcTUebp6XP690sJ5QYjSZ6tu3Ce516WmSxrUPzT7AvWGsyFJ5qYzSZ6Nb0Dd5p3VXwu+1LiRr6heB3Wxaj1mkorSzF3IGfIffxFdWhcVYnXfwdyyln6VlXMGFi9vCJpFzNMNu3q+WUM6PJRM82nXmvo419berQFJ5ylp4l2Gb2yEmkXk1Ho9Xydodulu8MmjaGqR9PEMWBfR2awhOrjCYT3Zt3sNhm9tYlLBo2lYc5fzF9c7QltucOmkj5LsJkVlhPofA0HpPRSPeWnXi3XTeyVTnM2hRD9MjpPMz+i2kbo1DnaSjtX4r5Qych95GL6tA4a1/b2g5/R56yr9dxOpYK48lVPLY1LwpPVDKajHRv2ZF323YjW53DrE1LiI6YxsMcQafCcZo39HPKvVHH6bGW+/g61KFxxmcKdfo7+sh9fEV1aApPOcu4Kdh35uBPuZQl5Ijebd6ynHJmMpro/lon3n3dOkcU1qFxOlf9Q3xGqg7N38l7L74V7LTfFY6TbR2awlPOjEYj3Zp24J1W5rl/x1Kihphl2boYtXnunzvgM17sJtwA2NahqVS2MtEfr+a9+V15q3FPFD4Kvju2zXLKmUcJD3bF7mT7H99YvmNfh8aZ+cAVMVmYqwpPOcu4eVXw30ETuHQ9E02elt6t35TMYxb/talD83fnSts6NJZTzm5cAZOJmUM+IzXLHAdt37KccmYymuPgdZs4sKlD4+wa4v8CUt7b+NyuFbTzo+d2LZfe0PzT4C6sKQ13YU1puAtrFg13YU1puAtrFs/jLqzpCHdhzaI5wF1YUwruwprScBfW/Hv4b72h+Z845cwNN9xwww033HDDDTfc+O/E/0xhTTfccMMNN9xwww033PhfhvtQADfccMMNN9xwww033HDDjX8Y/qv30LjhhhtuuOGGG2644YYbAi72WPfcrhXy48fP7Vr/1a+caeKuO82haFHVZZtJXbGp2lUb1/KT7znF4RX8oss2eDt7eEPJLkKNIVds4HTWLiDYxhX2BSi48sgpHlnAC6j/uOYUB4CyzSsUZDopS80XnOYo5HFFLAEu2ZRqzHrsFAeAR7XS/6gN3q7aVG1Ie+AUh2ftci7Ledl7LjnFUaqrcDSus3nPO+Ql8h9JF/V7Fni94Mejb52rUv7Cu6HoE12Qx0NfcprHO/QlAP76XrqC+9OiTJ96TvsdCL73cEeCUxxl+4YBrjnowNmDBUA4XMAV4+SqPOOKnAc4fciGolkVjNcfO8UB4FG1tNMcbvx9/Fff0LjhhhtuuOGGG2644YYbAkwF7j00brjhhhtuuOGGG2644YYb/yj8TzyhMRqNzNu6jPQbV/D29GLawPFUfamSpf1IwgnW/XsrMpmMHi070at1lyK5CguyyWQyujXrQK+WnUXtf6mymbJxAbp8PeVLlWV6/0j87GSZuzGGtKzLeHt6MWPYp1StUNnSXliYUCaT0aNNF/q0f6tIneZuiCEtKxNvL29mDLfjMRd/knnI6NG2C31e7yrJMXvdYtKvZeLl5cWsiIlUfbmyqI9Wl8fQGZHMGjlJVNzQnmfO+sWkXbuMt5cXM0d8Jsnz8czxzIyYWCQPWAugenrI6NrkDXo26yjZb/uRn3iY8xejuw505DAXQJN5yOjW9A16Nu8kan+symbKpijzGL3A9A/G4evt63LbuNK+s1ZGkXYlE28vL2aN+5xqFauIefLyGDJlDLPHTSagyiuSPGAupLZ3GzIPGd1bdKDXa2Jf/0uVzZQNX5KXr6N8qbLMGDgBuY1tjEYjs1ZFkXbVLMuYImT5YgyzxxYtiyt5nI2nwqJu6dcF/50+5BOqVrDmh8KibjIPGT1ad6J3u6JjctbyhVy6koG3lzezIydTrZKjToMnjWbO+CkEVHXUyVok8TJent5MHzJBnKvMRRI9ZR50b9WZ3m3fLNouXy8hPcus09BPxTqZixvKPGT0aNO5SJ3AWnxPJjP7TCs7n8k1+4xeR/nSZp/xEfvM7DWLzGPtzcxRk6hW0TEOhkwdx+wxnxcbB87mvEIcSz7Nht++FfJ4o9fp0bSDZL8dR//Nw9y/GPXmAAdZXJHzjEYjs6O+JD0zHS8vb2Z9PpWqVaw+s+/AL2z5djseHjJq1Qxk6qeT8PCQ/h3y2KWzfP3H98g8PHirQTu6v/q6ZL+dx/fySPUXER36Oeq0wUan4UXoNHs8M0dMJKBSMfOBC3gAjqWeZePhfyHzkPFWw7b0aPSGtE5xP/NQ9ZiRHR11coXvAcSmnWPjke8FWcLb0r1he8l+357Yy0NVNhFvvO/QVlgQU+YhrB96tpCYm75ZaJ2b+kU6zE2FCK0ezie9p9B/UR/R54UFOgsKDOyK28m/jm13+K4rx9oVecYVea+wSG36DWEumPaRHYe5SK3MQ0aP1zrRq03RuXPWMps8Pr6IPD5xNHMmSOfxfzrcp5z9H8bh+Dj0+Xo2T1nGmD6DWfztWktbvsFA9M41rJ7wJV9NjGbXkb08yJZ+zz+/wED0rnWsHDOX9ZEL2R2736Hv+n3b6dSoLV9NWETtKjX44dh+Ufuhs7Ho9Hq2zl7F2Pc/ZtGW1SJZojavYO3kRXw9fSm7Du7hweOHkrIcOhOLLl/P1rmrBZ7Nq8Q8m1aydko0X89cViTPwdPH0Ofr2PblGiL7DSfqm5Wi9ouZlxjwxShu/Fn8+7KHTh9Dp9ezbf5qxvUbRtQmMU9y5iUGTh39RB5DgYGYnzawYvhs1o6az+4Tv/Ag5y9Rnzy9jqlbo/k+dm+RHIt3r2dFxGzWjfmS3cd/4UGO3Rj9soNOr7Zmw7iF1K4cwK64/Q48rrCNq+x78MRR9Ho9O2LWM35QBAvXLxfzpKfS/7MRXL9T/H6Q/AID0f9aw6qx89jwSRQ/HJPw35+30alxWzZ+upg6VWuy6+g+aVmi1zN+YAQLN9jJkpFK/4lPlsVVPK6Ip0PnYtHn69kycwVj3x1K9DYxx6Ktq1gzaSEbp8aw6/BeHjyWzg+/Hz+CTq9n59KvGD84goXrlop1Sk/lwwnDuHGn6PfGD5+LQ6fXs3n6Csa+O4TF29eIZdm2mjUTF/DVlOJlOXTWrNOslYx972Oit4nzw6KtK1kzKYqN05aw69DPRfLkGwxEf7uGVZHz2PBpFD8cLcZnJhbhMyePotPr2R61jsj+w4na6DjWAz6P4MbdJ4y1C3IemPPMv79i+cczWTtiLrtP/uqYZ/J1TNu+mO+P75PkcFXOO3j0D/R6HdvWf0NkxGiilsdYZcjLY9m6VWxcuZZt679GpVZxJO5YkTot/eUblgz4glUfzeSns7/zMNdRpxnfL2PX6V+kdTpj1mneasZ9MIyozXY6Xb7EwGmjuXH3CfOBi3gMBQaW7vuGpYOmsnrITH46I63T9O+W8v0paZ1c5XuCfTex5MMprBo4g5/O/c7D3MeiPrp8PTN2LWfXmQNFcizetY4Vo+awbtwCdsftd5yb9u+g06tt2BAZRe3KNdgV6zg3AQzuGMGc/ovw9vIRfe4p82TSuzMYHNOXD6N6806rfpQrWd7h+y4baxflGVfkvcPnzeu8qcsZ8/YQFu8Uc0TvWM3qTxbw1eeLhXVeUXk8zpzHl5nz+Fq7PJ6Wyofji8/jbvz/wd++oTlw4ADLly9nzpw5qFTPvsHx1KlTTJ48mWXLlvHtt98+sf/y5cuf2KcoxGck0zykEQChNYJIuWbdhH71znWqvFiRkkp/vDy9CA8MIT5delPitTs3qFK+IiUVQt+wmsHEX04W9Um4nEzzoIYAtAh+lVOX4sWyXEqiRVhjAOoHBpNyJc0qy60sqlSoREk/syy163H+krQs8ZcSrTy1gkm5XBxPKOdTHTePxqcm0iK8icBRO5jky+JNs/p8PUsnzqV6paqSMhTifGoSLQt57GQB0BvyWfrZnCfyXP3zBpXLvUxJhZ9g3+pBJFwR21dvyOfNV9sy6I13pDnu3qBKuZctY1Q/IIgE+zG6kkKzusIYNQ96ldNpCQ48rrCNy+ybfIGWDZsKPHVDSM5IdeBZNvXLYn9dBLOvl7f6eljNYOIzL4r6JGQm0zz4VUDw39OpYv89n2IjS50QkjMlZPniSwKqFC+Lq3hcEU/xaRdpXt+cHwKDSL5qw3E7iyovVbLmh1ohnE+T3oh9/uIFWr4q6BRWtx4X0x3He/n0hVQv5glafHoSLULNstR8GlmKyA9pSTQPbWzV6Uq6I4/ILtI6Xb0rzo9hgcHEZ0j4TIjZZ0IkfCY1kZYNbMfa3i75LP18/hP91xU5D+DqnzdFeaZ+9bokXE1xkKlLw7YMav+2JIercl78hQRaNG0u8ITUIznVKoe3tzdb132N3FcOQIHBgLe3tyTPtfu3qPxCBUrKBZ1Cq9UhIcvOzoZ8Ooe1ZmDrXn9Pp/x8ln76ZJ1cxXP1/k0ql7XqVL9aHRKu2eUJQz5dwlszsE3vImRxje+J7etJ/ap1uHBdLIvOoKdz/VYMeK2ntD53xeuH+jWCSch0XD80Cyp+bgK4cf8ao1cPcfg8oEIg1+9dI0eTTX5BPucyTtMwsIlDP1eNkavyjCvyXnzGRZrXs3KkXP1767zzyRdo2cicx4OKyOMzis/j/3SYDMbn9u954m+/cpaTk0OZMmVo27Yt33zzDUajkRo1anDmzBm6dOlCbGwsnp6edOzYkb179+Lp6UmlSpV4+PAhDx8+pF27dnTv3p0mTZowbdo0tm3bhl6vp1y5cly8eJGaNWsCoNPpeOWVVzh37hxffvkl3bt3p27dus8kq1qrxk+utPwt8/DAUFCAp0yGWqsRtSl85eRq1ZI8qjw1fr42fX3kqOz6qvOsfApfOao8cbtKq8ZPbn0JzcPDA0OBAU+ZJyqtGn+bNqVcQa5G+mZRpdXgp7DK4sBj06aUy8nVOOqk0qjxV0jLAtCgbqjkte2h1qqLlAUgvE69p+PJ0+Dnq7D8LWW/kgo/mtZpwJ7TvxfNYTOeSh85Kq1G4jrmMfKRo8oTt4NrbOMq+6o0avyUtjwyMU9w/aficbCNr6P/qvLUNv6rcGx/kixBTyeLy3hcEE9qrQZ/UX6QWfKDyj4/yBWoJGKpUCd/G51k9uP9FOOktotrW1ns25RyOSqtdH5QazWiHGCb81QaMY9Cwg9E8jzJZ7TF+4xao8ZfaZsf7Mf6KePABTkPQK0T5xmlTxF5pnY4P585KM3hopynUqvw97PxX5kHBoMBT09PPDw8KPdCWQC2/WsnGq2W5o2bPpVOCm9f1DpxXisp96NJzfrsjT/8H9XJdfOBFqWtThK5uqTcjyaBYfx8vgidXOR7ap3Wzr5FyFKzPnvj/yhCHw1+8uL9TjQ3FROXB87vo1LZyg6f+8n9ydXm2vCp8ZeXdJTFZWPtwjzjZN5z5LBd56ntZFEUvc5TPyGPhzzd3OTG88ffvqEJDQ3lhRdesDxdiYiI4MSJE3Ts2JELFy5QpkwZHj58yNGjRy3/z83NpXPnzvz4448A/Pzzz5w9e5YePXpw/PhxRo0axapVq1AoFLz99tusWrWKiIgINBoN4eHh9O7dmzNnzjzzDY1SrkSTp7X8bTSZ8JTJzG0K1DaJSZOnFS1CAVb9exMJl5PJuHWVkFfqWPvqtKKFEIDSV4FGp8XX20fgkou5/ORKNDbXM5qMlkDxkytFsgjJQvx9K48CjdaWx1QMj1YUoBYOhRK1DYfJaOV4FijlYh7jM/Ks3reFhCspZN65RnDVWpbPNXla/H2l9bdHTEwMp3+PI/P2VUKq1bZ8rtZpRQsysBsjiTEE19jGVfYVeKzJ12Q0PhPPyh+/Efz35hVCqlv9Vy3ln75CrAj+K54gXCGLy3lcEE9CDrDJD0ajJT/4yRUifk1xMWk33rayPC2Kk0UpV4j41VrHXCXmsZfFrJNCgUZrvYZUzlu5+xsSMs0+E2DnMwqpnGbjM/bxZh8Hf8MuwnWcy3mr92/lwtVUhzyj1mnx93XMAcXB2ZxXCD+lH2q1bRyY8PS08hiNRqJXLCXrxnVi5i+kRIkSou+v/X0HF65fIvPPLIIrBVo+1+jzRAvwp4GDTiYXzQfPyLPmtx1cyErl8t3rBFWuafm8qFxdrCxO+t7agztJvJ4m2LeyrX21oh83i4NobnrFfm4S+6jj+uHZ9FVpc1H62v4AoSRXk+3Qz3Vj7VyeEfM4l/eUdrlavM5Tivg1ecXkcaXzefyfDvcpZ3ZIS0tj586dqNVqMjIyiImJ4fHjx3h4eNCsWTMeP36MQqEQ/d/Pz0+UkN966y1GjhxJgwYN8Pf3Z+vWrbzyyiuWTY/+/v6sW7eOM2fOWD77O3VAw2oGE5t0CoDEyynUrFTd0lb95apc//MW2aoc8g35nE9Pon6NINH3I7oNYF3kQg4s2MGN+7fJVucKfTMuEhogvrkKCwgi9uIZAOKSzxJeM1jcXjuEY/EnAbiQkUxglQCrLJWqcf3uTYss5y4lUr+W+PtWnnocixd0upCeTGDV6mKeOzY8qRckecLr1OPY+RMCR1oygdUCHPo8DcLrhHDs/EmrLM/IM6LLh6wdNZ9fZ23h5oM7FvvGX0mmns0NZHGIjIxk3ZgvOTB3GzdsOTIvElpdzFE/oC5xKcIYHU85S1jAf8Y2LrNvUCjHzph5Ui8SWL3GM31/ZI+BrJ8QxW+LvjX7r9nXM5Ic/Ld+jSBiL54GBP9tUDOkaFkuXSTwlWeTxdU8roin8FohxCaY80NGipijYjWu370l4ggNDHLgAGgQHMrR08cBSEhNotYrNSX7FauPrSyZKQRWsYnritXEuSotkdCa0rKE136STuL8YK/TyJ4DWf9pFL9Ff8uNezY+k16EzySZfebiWRoE2vlM3XocPWsz1tX+7lg7l/NGdO7Hmoi5/DJjEzcf3iFbI+SIhCspT51nLDo5mfMsPKH1OXYiTuC5mERgDbHPzFwwF71ez7IF0ZZXz2wx7PW+rPpoJvs+28DNR3etOl1LIaRKLYf+z6RTVRfNB8/IM/yNvqweMot9n4t1ir+W+uw6Oel7w9q/x8pB09n76TpuPrpLjkZFvsFAQlYq9Z5SlsjISNaNW8CB+du5cf9Jc1MQcck2c5Nd/n0SrtzNoNqL1SmlKI2XzItGtZoSf+WcQz+XjbWTeaYQrsh7YTWDib1w2sJRs3Ix67y0JOoXkTsbBIdy9JQ5j6ckUav6s+dxN/7/4G/fdnbtWvQJMgAhISGS/wcYPXq0Q/8BAwY4fPbhhx9a/t+6dWsAKld2fMz6JLRr0IKTKecYMHcsJkzM/OgT9p88hCZPS+82bzLhveFELP4ck8lE95YdebFMOUkeL5kn43sPZdTyKRhNJro378CLpcuRrc5l9tYlLBo2lcGd+zJ9czQ/xv1Cab+SzB00UcTRvtFrnEw6y4dTR2LCxOzhE9kb+zvaPC19Xu/KJx+OZPi8TzGaTPRs05mXXnDc0AfQvvFrnEw8y4dfRGAymZgdMYm9sb+ZebrxSf+RDJ/7CUajiZ5tu0jytG/y/9g76/Aoru6Pf5KNbhKguAQLBA0SvLhb8VKnQHEJEryluBQITnApDhVKWyhOobgHiBIjIXix2G6ySXZ+f2yyHmRnyo+3ne/z9HlfMrPfOefcc869d+bee5py7sYVvvh6KAgCs/y+5o9TR1GlqfmobZfXtm+r+k05f/MKvb4ZiiDArOGT+OP0UVTqN+NxUDgwuusARqydiiAIdK7fhsL5CpCYmszsH1YQ0O+b1+Lw7zaAEaunoNVq6dLA0Eazdy0jYMC39G/7KdO3L2bvucPkc8vDnD4T/hHbSGXf1g2bcS7oEp+PGYggwJwxk9l/4jAqtZqPO3Z7bR5HhQNjeg5m+LLJaAUtXRvqfD0xNYmZW5eyaOhUBnzwOVO/D2DvmYPkc8/D3P5fm8ryfrYsYwciAHNGT2b/yWxZOry+LFLxSBFPLes05nzwVXpP90MQYObgCRw4exxVupqeLTsxttdQhs6fiFarpVuz3GOydaPmnLt2ic9GD0AQBOaOncL+Pw+jUqv4+APr6+otZKndmAshV+k9YwQgMGPgBA6cO44qTSfLuM+HMHTBJARBS9em7XOVpWWdJjqdpvkhCAIzB0/kwNljOp5WnRnbaxhD503Q6fSSPOPo4MCYjwczfEm2zzQ28pktS1k0bCoDOn3O1E0B7D2d7TMDzXymQTPOX7/MFxMGIwgCs0dNZv9fR3Rt3b7ra9kFpMl5kJ1nOvdj5LrpujxTrxWF8xYgUZXMnB8DWdD3a6u/M5FFopzXqlkLzl26yBcDvwIEZk2exh+HD6JSq6lauTK/7PuN2jV86ec3BIBeH39K6+Ytreo0sn0f/LfOQSto6VSrJYXz6HT67rc1zPts/KtlqZet02QzndLUfNTmDXSSiMdB4cCoDn0ZvXk2WkGgc+0W+naau3c187+wzNvmkMr3HBQOjGzXm9Hb5yAIAp18W1AoT36SVCl89/savvt03Gtx+PcYyIiV36IVBLo0aGPom3YuI2Dgt/Rv/ynTty1m77lD5HPLy5y+r9YRoFO97iidlfx4egfzf5zBBv+d2NvZs+fMbh6/sCxMK1UbSZVnpMh7LWs35kLoNfrMHokgCMzoP56D53V5/MPmnXTjvEWTELQCXZu0z3Wc17pRc85dvcRno7Lz+Lg3z+PvOv6tp5zZCbZ88vgfgersHdEcykalSDkeK4rDvZXurYUU1c2lqpotRSV7sRWzQVc1O+lA5KtvfAnydNS9KUs+HC2Kx6NdedF2AZ1tpLAvQFas9ZNYXhcKr/yknowTxQHg1rwMWdEiZSmfXzRHDo8UsQSQduXlpxu9Ci51SqCNfyGKA8C+dD5JqmZLVcE79VScaB63pmVEV2x3qFhQspyXuC/i1Te+BHk7696mi817Tj5FyHj25gfpmMMxvzvPfrC+yfp1kf+T6qIrx4OuerwUFegBnv9sfbP26+K9ntVE+x3ofO/pruuiOAp8VhOA5KMxong82pSj0sDiojgAItbfl6SdpMozUuQ8ANX5BFE8yvdLor3zQhQHgH2pfKI53gaCmi59a8/yPTX6rT3r37UwUIYMGTJkyJAhQ4YMGVYh76GRIUOGDBkyZMiQIUOGjHcM/+olZzJkyJAhQ4YMGTJkyNDhWqPFb+1Ztc6OeWvP+lcvOZNqj4cU6zMBNImW9U7eSJa8SjIjrVe/fhM4VCggyR4P1el40bIom5QWvddJ2UhX/EsKHrFtDbr2zrqfJIpDUVxXO0CKvSJi9xaBbn9R1j3L4z/fBIoSeUXbBXS2ERsHDhV09T2kiIOMv5NffeOreAp5kBH+tziOyoVEr0kH3bp0qfZVSLFGXqxdQGcbsXvJ3JqXAZBkL5n29vNX3/gK2Jd9TxKdpPIZqfYNSrHvSqq9kFLslwJE70lza1pGspgUuxcnYv190XsPQbf/UIq9RQAvfgt/xZ0vR76ulUXvVwXdntX/BfxbDwWQl5zJkCFDhgwZMmTIkCHjfxb/6i80MmTIkCFDhgwZMmTI0OHf+oXmPzGh0Wq1zF6/mFtxMTg5OjJj6ARKFTOtZ6NOT2PQjDHMGDYRL8/SufLM3bqcyIQYnBwcmdpvLKWKlNBf/yvoPOt+34bCXkG3Ju3p0fwD67LMn8utqEicnJyYMXkqpUqW0l8/cPgg23fvxN7engrlvfl24jf6oqLmPLNWL+TW7SicHJ2YMeJrShc30yktjQFTRzFrxNd4lSxjnWPdYiLjonF0dGTmsIlW7TJwuj8zh0/K1S4Af10/z7r9O3S6N25Hj6YdTa4/T07km/XfkZ6hoVDeAkz/aiyuzi6W9t2+nMiEWJ19+44xte/186z7fTsKhYJujdvTo5npM6Ti0PNI0NYzl87nVkwUTo6OzBz/LaVLlDS1b1oaA8YNZ9aEKXiVKpOrLHM2LeFWvE6W6YPHU6qooZ1OXj3H2j1bdDo170jPVp2s8gCcCr7IhsO7UNgr6NKgDd0btje5/iIlkclbArLbKT/TvhiNi5OhnbRaLTOX5ejkxMxxk63rNN6PWeO/falOUtnmXYkDrVbLrEXziIyO0vFMmkIpT4NOB44eYtuPu7BXKKhQrjxTxk6yiG2tVsustYt0sjg4MtNvknVZpvkz0+/lsszdsozIOzE4OjgxbYCZ/147x9pft+OgsKdr0w582MLSf3N4Zm8wyp1DTHPnyStnWfPzFhT2Crq37EjP1pb1yaSURQrbAPx14wLr/9Dlq66N2tKjiVm+Sklk8oZ5pGWk6/JV37EY12zXarXMXBXArdvROv8d+TWli1vx329HMmvUN1b9Ts8TGEBErC4OZvl/Y5Wn/zcjmO0/OVceqXSSrJ1ExpNWq2XWmoXZ9nViht8ky7hOT2PAlNHMGvn1y2NSotiWYgzx140LrN+3A4Uiu42s9JOTN8wjTZNOoXy6NrLWT74sJvWyzBrDjKET8SqRexxUL+vLuA8n03thT5O/t6jehmGd/cnKymTP2d38dHpnrnaZ873OZ5wcHZk2YBylihp85uS1c6zbm91PNmvPhy1f0Tcd3Knrm95vS/dGVvqmzQsMfVMvfzzMOE6HXWLjsR9R2CvoXLcV3eq3tfqsXad/51nyC4Z37G1Vp5krA7gVmx3bo3OJ7ckjmTU699iW8fbxn1hy9uel06RrNOz4bjWjew0mYMtKk+uh0RH0nTKChEcvP1v9xLWzaDI0bJ2ygpEfDWDx7jX6axmZmSzatZrV4+az8evF7PnrD568sFyT+edfJ3SybNrK6OEjCVhm2JyVlpbGijWr2Lh6Hds3biElNYW/zpyyKsvxC6dI12jYuXA9/n2GErBpucn1kKhw+nw9jIQHua91PX7pNJqMdHbMW4N/ryEEbDa1S0h0BH2+9XulXTIyM1n0w1pW+3/HxgkL2XPqAE8STXVft287Heq3ZNPExVQsVY49f/1hwXMiKNu+k5czsmd/Fv+w1vQZu9eweuw8Nk5cpLNvoqV9peAAadr6+JmTaDTp7Fq5iTGD/FiwaqnJ9ZBbYfQeNYg791++hv3PK2dI12jYPmsVoz4fxMJtq01kCdgayNpvFvL9tGXsOb6PJy+s7y/JzMpk8d71BA6bxbqR89h77hBPkkzlXn9oF+3rNGPD6AVU9PRiz9mDZjr9hUajYVfgJsYMHM6C1cssdRr9ap2kss27FAfHT59Eo9GwY+33+A8ZQUDgEv21tPQ0lq9fzaYVa9mxZhMpKSn8de60JcfF0zqO+Wvx7z2EgO8DLWX5ZjgJD1++hv3E1bOkazRsnRbIqE8GsHinqf8u3LGaNRPns3HyEvacsO6/AH9ezs6dc1cz+ovBBGxdacKzYHMga79dxOYZy/n52D6ePLf0Palkkco2GVmZLPppDatGzWXDuAB+OX3QIg+s37+D9vVasGn8YiqVKs+eUwdMZTl/ShcHi9Yzpu8wFmxYYSpLVDi9Jw7lzkv8DuDYub9I16Sze+kGxvQbzoJ1Zv4bGc6X44e81H+l0kmydpIgnvRxHbBO19abLO3b5+thr2xrqWJbijGErp9cwyr/uWwYH8Avp17SRhOttxG8PCYBQmMi6Dt1BAkPX65T/3bDmN17IU6OziZ/d1A4MOmT6fRf8hlfBnzIx017UTCP9YKYf149gyZDw7YZgYz6ZCCLdpj2TQu3r2LNpAVsmvJyn8nMymTxnnUE+s1m3ej57D170LJvOriL9nWas8E/gIqe5dhz5qAFx9J9m1g+YDprhszm14tHeJpsulctLSOdabuW8PM5098aQx/bS9Yz5qthLFhv5nuR4fSe8OrYfpchZAlv7b+3iX90QjN37lxWr17NlClTuHfPeuOvWKFzliFDhhAfL36TuTVcCw+msW99AGpUqEpYzC2T65rMDJZNmE3ZEqWs/VyPoKgQGlarC0D18lUIu20oCHn7wR1KFi5OHjcPHB0c8fX2ISjSskDYtetBNH6/oU6WatUJCw/TX3NycmLbhs24urgCkJmZhbOTswUHwLWwGzSuna1TJR9Co0yLxmkyMlj2zXcvfUsZFH6TRjl2qViV0BhzDg3LJs55pV0sdC9flaCoEJN7rkeH0tCnDgCNqtXlYniQpTxRoTT0ybZvuSqExb25faXg0PFI0NbBN2hcL7utq1QjNNJ046JGk8HyWQty/fqglyUimEY16+l4vKsSFmvw39v34ilZtAR53LNlqViNaxHWdbr9MIGSBYuRR6m7t4ZXFa7HhJrccz02jPcr1wagYZU6XLp13VSnkOs0rvu+QadbZjplZLB8ZsArdZLKNu9SHATdvE6j+tm28alGaIRBJydHJ7av2YSri+5ta1ZWFk5WYjso/CaNauXI4kNotBVZJs19tSyRwTSqbvDf0NtGPnM/npJFShj8t4IP125Z95mX5c7Ye/GUKlqCvO4eODo64lupGlcjLAs9SiWLVLa5/eAOJQsZ4rdm+aoERVvJV1Wz81XVOlwyy1c6v2ugk6WSD6HR5nGgYfm38/AqmbvfAVwLvUHjOjqfqVnZhxAL/9WwYup8yr7Ef6XSSdJ2EhlP18Jv0riWsX2txPXXL49rqWTRySN+DHH7oWm/UdP7Ff2kj2UbvZYsGRksG//q8UzC33GMWD3A4u9eRb258ziOJFUiGVkZXI26RG3v+lY5gm6F0LBGts94v47PWC8Ee/thgs5/c/qmclW5Hm3WN8WE8n6V3Pum24/v4lmgGHmU7jqOMpW5fjvM5B5NRgYdajfnq1amX6SMcS3UKLYr+xAaZSW2p8x7pe/JePv4R5eceXh4MHToUI4dO8ZXX31Fu3bt6NWrF1u26JbH9OrVC4DQ0FC6devG4cOH6dixI4sWLaJXr14cPXoUJycnunbtyqFDh3j48CGzZs16YzlS1am4Kw0f1+3t7cnMysRBoVPft1K11+RRmfAo7O3JzMrCQaGweIbSRUmyOtWSIzUVd3d3I1kUZGZm4uDggL29PQUL6E5f2vHDLlRqFe/Xb2BdFpUKD6UZj5FOtapUf6U+KapUMw5Tu9Sq/GoOgNQ0Fe6uZrqrTHVPVRvucXNRkmLNNupUEx5T+5o/w9W6fSXg0Msrsq1TVKm4u+Xud7Wq1bD6bAsedSrurtbbKUWdiofRNTdXJckq61XIzdvJzdmVFLXK8h4X3T1KZ1dS0kyv63QykkVhppPPa+okkW3epThISU3Fw82Mxzi282fH9s+7UanVNKxrOUjQyfISu7xuTFr4r8I0Doyuubm6kqLOxWdekjtTVabX3FyUpKisxaQ0skhmG/M4cHG1yEcpaYY8orSSryziwMLvXj8OPNzM84wRT9XXjAMJdJK2ncTFU6qZXWyJa6lkAWnGEOb9j9U2Ur+8jaSSBeDItQOUKOBp8Xd3Vw+S1YaTG1PTUvFwzZOrTh6u1n0mxby/dbWeH3TPUOHuqtT/283ZlZS0VMt7cvomK7bTXTdwKK30b3mU7jSo4Mv+K8etygGvEduvGZPvMuQ9NDYgOTmZdevWcfnyZSZMmICXlxe///4777//PiVKlCAoSPf24ciRI+TNm5ebN2/Spk0bGjVqxKNHj3B2dsbR0RF7e3s8PDwICQl5xROtw83VjVQjx9ZqBb1zvhmPEpXRAE8rCDgoFIZnpKn111RppgMtPYebG6mpxhxaHBwMsmi1WhavWEr8nXiWzF+InZ2ddVmUShOdBEH7xjq5K03tIryhXVbu/Z6gqFCi7t7Gx6ui/u863d1M7s2xnYuTM6m52cbVDZWRDU3tqyTVyPaqNPU/xmEsr3We12trd6UbqSrb7avncXUzk8XQ1u6ubiY6paotZVm1fyvXY8OIvn8bn9KGdkpNV5t0OKAblKrS1bg4OaNKV5t0VnqdjDoSm3WSyDbvQhzoedzMdBIEi9hetGo58QnxLJmzwGpsW8gi2J6rjH1Uq9WaxoHa2GdeFgdmudNIHjelme/lGtfSyCLWNit/3cz1mFCi7sbiU7aSkdxqk5cCAO4uujzi4uSMKs10MG+QxTgO3tzvDDzWY/t1IKVO/1g72RBPbhZtLY19bc4zIsYQS5Ys4fKf53Rt5GXWRmY2dHc1ayOz/GtVFhtzRG5IUSfj5mI88XIjWWX9yP6X+Yy7WR+qstY37dvC9ZjsvqmMed9keq9J35Rm6JuWLFnCpSOniX4QT9VSFQzPs9K/vQ6kim0Zbx//6JIzDw8PBg0axNKlS7l69Sr79++nU6dOnDt3jv3791OrVi0yMjIA6NevH/379+fo0aPY29vj6+tLeno6giAQHx9PRkYGWVlZqNXqVzzVEr6VfDh97QIANyJD8S7tZZM+NctX5cyNSwDcjA6jvGdZ/bWyxUpx59E9ElOSyMjM4NqtYGqUr2IpS42anD53RidL8E28y5U3uT7zu9mkazQsC1iiX3pmVafK1Tl15byOJyIE79Ll3lgf30rVOH0tm+PWm9tlePev2DBhIccW/0DC4/sG3SODqVHOVPca5atyJvgyAGeDL+Pr7WPBV7N8Vc4EXwTgZkwY5Uu8xL5WniEVh55HbFv71OD0xbMA3AgLxtvrzdsIoGZFH04HZftvVCjeJQ3tVLZEae48vKuX5WrETWpUqGry+2GderNu5DyOzNlBwpMHJKYmk5GZQVB0CNWNBkEANbwqczZM107nwq5Q08uUS6fTOdE6SWWbdyEO9DzVanD6QrZOIcF4e5nG9oyAuWg06Sz/bpF+6ZlVWa5mt/WtENtzVQUfzlzPjoPoMLxLGvlv8dJm/nuT6lb8VyePWe4sZZDHq0Rp7jy4S2JyEhkZGVwNu2Hhe9LKIs42w7v1Zf3YAI4u/IGEv++TmJr9zKhgqntVNrm3RrkqnAnRxf/Z0CvUKm+ar3yrVOf0ZSO/K2Ob/9aqWp1Tl3TxdD08hApvyCOlTpK2k8h48q1cTXRcSyWLjsf2MYS/vz/rxwdwdFF2P5lq6H+stlFwdhuFXKGWlX7yZTEpBWIfRlG6cFnyKvPhqHCkboUGBMVetXqvr7HPRIWZ9k3FS3Pn4T2Tvqm6t6nPDOvch3Wj53Pku50k/P2qvqkKZ0ON+qZs//X392f1kDkcnLpZ17+psjluh1LN6AXe68IktsND8C5rm++9yxCytG/tv7eJf3TaOWLECED3VWLixIn6vxv//zFjDFVEfX198fX11f970qRJ+v/fvHlz+vfvb5Mcreo35fzNK/T6ZiiCALOGT+KP00dRqdV81LbLa/O0rN2YC6HX6DN7JIIgMKP/eA6eP44qXc2HzTsx9tMhDFs0CUEr0LVJewq/V9BSluYtOX/xAr3690EQBGZNncEfhw6iUquoWrkKv/z+K7Vq+tJ/2CAAen3yOa1atLTgaf1+M85fv8wX4wchCAKzR01m/8kjqNJUfNy+22vb5dyNK3zx9VAQBGb5fc0fp46iSnszuzg6ODD248EMW/oNglZL18Y63RNTkpi5ZQmLhk9j4AefM3VTAL+cOkA+j7x8N3CSBU/LWo24EHaVPnNGISAwo984Dl74E1Wamg+bf6Cz7+KvEQSBro3bWbWvFBwgTVu3btKcc1cv8rlfPwQB5kycyv5jh1CpVXzcucdr27dV3SZcCL7Cl1OGIyAwa8hE/jhzDHWamp6tOzPuy+EMmTserSDQvXkHiuS3voHTQeGAf7cBjFg9Ba1WS5cGbSmcryCJqcnM3rWMgAHf0r/tp0zfvpi95w6Tzy0Pc/pMMNWpcY5O/REQmDNhKvuPH0KlVvNxp+6vrZNUtnmX4qBV0xacu3yRL4b00/F8M40/juh0qlqpCr/s/43aNXzpN3IIAL0++ozWzVqYcjRoyrkbl/li4hBAYNaIb/jjryM6Wdp1fW1ZWtZuzIWQq/SeMQIQmDFwAgfOHUeVpqZny06M+3wIQxdMQhC0dG3aPlefaVUvO3dONsudaWo+atOF8X38GDxnHFqtlu4tO1KkgCWPZLJIZBtHhQNjeg5m+LLJaAUtXRvq8kBiahIzty5l0dCpDPjgc6Z+H8DeMwfJ556Huf2/NuFo/X4zzgVd4vOxAxGAOaMns//kYV0cdOj22rK0bticc9cu85n/QARBYO7Yb9l/Ipun4+vzSKGTZO0kQTy1bpAd1xMGG+L6ryM6u7R//baWLLYlGEM4Ojgw5uPBDF+S3UaNjdpoy1IWDZvKgE66fnLv6ew2Gvi1Bc+rYtJWdKrXHaWzkh9P72D+jzPY4L8Tezt79pzZzeMXD63+pmWdxpwPvkrv6X4IAswcPIEDZ3X9ZM+WnRjbayhD509Eq9XSrdkr+qYeAxmx8lu0gkCXBm0MfdPOZQQM/Jb+7T9l+rbF7D13iHxueZnTd4IFx+jOXzFqwwy0gpbOdVtTOG8BElXJzP15JfN7W445rKF1w+zYHjNQ1zeNmWxTTMp4+7ATBOHtHkPwFiG2yi/oKv2KrR6vfF935J8mUfWKO18hS16l6ArpoKuSLkVVZ9Vp8Yc4KJuURnX2jjiORrrNj1LwiG1r0LV31v0kURyK4ro1y+lBD0TxOPsWI/lwtCgOAI925cm6Z33ZwetCUSKvaLuAzjZi48Chgm4/ixRxkPF38qtvfBVPIQ8ywv8Wx1G5kGRV36WqSi5WHtd6nqLtAjrbpJ6ME8Xh1rwMAFnR4iqKK8rnR3v7+atvfAXsy74niU5S+YwUsQSQeeuJKB6HigVFy5Ijj9gxhJNPEQBST8WJ4nFrWkaymKw0sLgojoj190m7Iv6EL5c6JUg+GiOKw6ON7uvJi9/CX3Hny5Gva2WyYsXFNYDCK79ojreBC95vvhfdVjSImvLWnvWfOLZZhgwZMmTIkCFDhgwZ/07IO51kyJAhQ4YMGTJkyPgP4N96ytm/esmZDBkyZMiQIUOGDBkydDhfdsZbe9b7t6e9tWfJX2hkyJAhQ4YMGTJkyPgP4G2fPva28K+e0IjdiAe6zXhSbOgDaTati90kDtkbxSXYjCfVZl2xm9Y92umOx5WincTaBXS2eZcOOkg5HiuKA8C9lRcpf94Wx9GyrGiOHB71BZGbzRvoCsqJPdhC2aS0ZIdjiG0n91Ze0uU8kZvNQbfh/F06qEOqTetiN0S71Ckh2i6gs40UeTzpUJRoWfK095bEf0GaPP5vzDNpV++L4gBwqV1cEv8Ve7AA6A4XeJfGVlL5jIz/P8iHAsiQIUOGDBkyZMiQIeN/Fv/qLzTG+OvGBdbv24FCoaBro7b0aNrR5Prz5EQmb5hHmiadQvkKML3vWFydLYvf2cJjXKtWq9Uyd/tyIhNicXJwZGrfMZQqUsLAf/08637fjkKhoFvj9vRoZspvzDNn0xJuxcfg5ODI9MHjKVXUU3/95NVzrN2zRcfTvCM9W3XK1Tangi+y4eBOFPYKurzflu6N2ptcf5GSyOTNC0jP0FAob36m9fLHw0yWWWsXERkXjaODIzP9JlGqmKcJhzo9jYHT/JnpNwkvz9Ivl+XwLp0sDdrQvaEVWbYEGGT5YrSJLCBdW9tiFxcnA4+UbS0FD8CpmxdYf2AnCoVOpx6NO5jaJiWRyZvmZ+tUgGm9/XF1smKbmxdYf2CHzjYN2+XOk23jab3HYF5X3BYOc1m0Wi1zty4j8k4Mjo5OTOs31tQ2QedY+9t2HOzt6dq0Ax82/8CqXf66fp51+3WydGvczqrPfLP+O71dpn+VS36QiMeWdjK3r6Q57w+dTl0btaVHEzOelGyejHSdTn3HmrSTpHGwdTmRCbqcN9Wirc+z7vdtOts3aU+PXNpaq9Uya91iXb5ydGTmsInW89V0f2YOt56vtFotc77X+Z2ToyPTBoyjVFGDLCevnWPd3mxZmrXnw5bW86+ksS0yjwOcCrnIhkO7cVDY07m+9fz77daFpGekUzBvAaZ9Psok5+l5JPBfEN/fGmT5/88zWq2WuTtWGNq6j79lW78kdxjzzPl+KZHx2b43cLyp7109x7q9W3U8zTtY9T2p/DcH1cv6Mu7DyfRe2NPk7y2qt2FYZ3+ysjLZc3Y3P53emSvHuzK2Aml85l3Gv3XJ2X/iC01GZiaLfljDKv+5bBgfwC+nDvIk0fTM8fX7d9C+Xgs2TVxMpVLl2XPqwD/CcyLoLJoMDVsnL2dkz/4s/mGtKf/uNaweO4+NExex568/LPhz8OeVM6RrNGyftYpRnw9i4bbVJjwBWwNZ+81Cvp+2jD3H9/HkhfW6HZlZmSzes45Av9msGz2fvWcP8iTJTKeDu2hfpzkb/AOo6FmOPWcOmlw/fvE0Go2GHfPX4t97CAHfB5pcD4mOoM83w0l4+PJP3ZlZmSzeu57AYbNYN3Iee88dspTl0C7a12nGhtELqOjpxZ6zprJI1dZS2EWqtpaKJyMrk0V71rFy5BzW+y9g7xkrtjmwk/Z1W7Bx7EIqlizHL6cPWuf5eS0rR8xl/ZgA9p45YMnzxw7a123OxnGLsnkOSM4BcOLaWdIzNGydGsiojwaweNcaE9ss3LmaNePns/GbJew5+QdPXljaRucza1nt/x0bJyxkzylLWdbt206H+i3ZNHExFUuVY89ff/xzPBK0k2Q5LyuTRT+tYdWouWwYF8Avp1/CM/6fzXknrmXzTFnByI8GsHi3aVsv2rWa1ePms/HrxToeK20NcPzSaTQZ6eyYtwb/XkMI2LzS5HpIdAR9vvUj4VHuS3z+vHoGTYaGbTMCGfXJQBbtMM2/C7evYs2kBWyasoQ9J3KXRSrbSJGvMrMyWbJ3A4HDZrF2xDz2njvMkyTTejkbDu+mXe1mrB+1gIolvPjl7CELWSTLMxL48LuUZ04EndO19TfLGPlhfxb/tM5M15fnjhz8eSXb92auZNSng1i0Y5WpLNtXsmZSAJumLmXPn/utyiKV/wL0bzeM2b0X4uTobPJ3B4UDkz6ZTv8ln/FlwId83LQXBfNYL6z5Lo2tpPIZGW8f/4kJze2HdyhZuDh53DxwdHCkpndVgqJCTO65Hh1KQ586ADTyqcOl8KB/hCcoKpSGPnUBqF6uCmFxkQb+B6b8vt4+BEUGW9UpKCKYRjXrAVDDuyphsbcMPPfiKVm0BHncs3kqVuNahHWe2w8TKFmoOHmUuntrlKvK9ehQU51iQnm/Sm0AGlapw6Vb101lCb9Jo1r1dbJU9CE0OsLkuiZDw7JJcylbopRVGUxkKVjMIItXFa7HmMkSG8b7lXOXRbq2lsAuUrW1RDxxD0x1qlm+KkHm9o0JpWG2To2q1uFihKVt4h7c0fHk2LicD0HRIVZ4sm1cta4FjxQcAEGRwTSqlm2b8lUIvW0UB/fjKVmkhIltrlmxjYUNy7/CZ6rV5aI1n5GIR4p2kiwOzNupfFXLdooOpWHVnHb6B3NeVAgNjdo67LaNPOE3aeSbk6+qEhpjJV9NnPPSfBV0K4SGNbJl8X6F31Xw4dqtm7noJI1tpMhXtx8m4FmwGHmU7rq2fmX+rc2lSFMOkC7PSOHD71KeCYoO0ctavVzll7e1ldyh57kVTMPqur6/uncVQmONeHJkMen7LX1PKv8FSPg7jhGrB1j83auoN3cex5GkSiQjK4OrUZeo7V3fKse7NLaSymfeZWgF7Vv7723irU5opk6dytGjRwEYMGAAN27csHpfYGAgKSkpACxZskT/97t37/LLL7+88XNT1SrcXQ0fJ91cXElRp5rck6JO1d+jdFFaXJeKJ9XoOoDC3p7MrCyr/EoXV5KtyGF4juEjvb29PZlZmfprHkbX3FyVJKtSrPKkpqlwd1Ua7nV2JSUt1fIelxydrOisSsVDaZDbWBaAWpWrU6xQEavPt5TFyL7OrqSoVbnL4uxKSprZdanaWgK7SNXWkvlMWqpeXsi2n7nMRm2gdLHUWcdj+cyX8lh5jhQcYKm/wl5hsI25P7m6kmIlDszvU7ooSVaZt6XhHreX+ox4HinaSdo4eAVP2tvJealqFe7K3HhSTa4pXZS5x4EqFQ+l9dwJ2fmq4MvzVapahUcufpdirpOrkhTVPxvbkuQrazFplUP3HKWz0iI/g3R5RgoffqfyjAWHfa4c1nKHMY9HLnGQolKZxUHu+kjhvwBHrh0gMyvD4u/urh4kq5MNz0xLxcM1T646vTNjK4l8Rsbbx1vdQ1OoUCFiY2N58uQJDg4OxMTEsH//fjw8POjXrx+bN28mIyODDh06cOzYMby8vChTpgxLly7lyZMnfPnll2/0vJV7N3M9OpSou7H4eFXS/z01TW3SoQG4u7qhSlPj4uSMysyhpeIBcMu+ngOtIOCgUGRfU5JqNEBXWeE3fY7hXq2gxUHhoL9mzKNLgKY8q/Zt4XpMGNH3b+NTpqLh3nS1yUQJdAMvVXqOTmqTRAjgrnQj1ahjEwRBL8vrYNX+rVyPzZaltLksZvYzliXdIMuSJUu4/Oc50W0kpV2kamuxPKt+38L1mFCi7t3Gp4zBNsb2y10nA9eq3zZb57HyTDcXpcHG6QYeKThMbaMk1cQ2WoNtXJRmcaDGw83AYfCZ2/h4GdpalWY6YMh5jipNhYuTM6lppvG0cu/3BEWFiuaRop0ky3m/ZrfT3Vh8yprxmLWDu4sZj4XOUsWB0iznGfO4mfiBKs0y5+nlNc9X2jfLVwa5jXTSGvzO3UxOlZX8a+ARGdsS5KvVf2zjemwo0ffjqFra2H9f4XfppoNiqfKMFD78LuUZY45c29rFvK0tc4epLOZ9f7bvKZWo1MZxYD2epPLflyFFnYybi/EkxY1kVaLJPe/S2Epqn3mXof2Xlp9860vOnJ2dOXr0KE2aNAGgdOnSZGVlERsbS40aNRg+fDjly5fn3r17XLhwgSZNmpA3b160Wi2JiYmvYDfF8O59WT8+gKOLfiDh8X0SU5PIyMzgWmQw1b0qm9xbo1wVzgRfAuBsyBVqeftIzgNQs3xVzgRfBOBmTBjlSxiO+StbrBR3Ht0jMcXAX6NcFau61azow+mgCwDciArFu6SXgadEae48vKvnuRpxkxoVqpr8fljnPqwbPZ8j3+0k4e8HJKYmk5GZQVB0CNWNBjAANbyqcDb0MgDnwq5Qs7ypTr6VqnH6arYst0LwLu3Fm2BYp96sGzmPI3N2kPDkVbJU5myYkSxeOr38/f0laSMp7SJZW4vkGdalD+v8F3Bk/i4S/r6v1+laVIiFbWp6VeFMiE6ns6FX8C1v8JthXfuybkwARxbsNuOxtHHNclU5E5pt49DL+GbbRgoOk3u8fThzM9s20WF4exrZpnhpU9vcukl1I9v4+/uzYcJCji3O9pmX2LBG+aqcCc62S/BlfE3yw1eS8EjRTpLlvG59WT82gKMLf8iWJSnXdqpRrgpnQnLa6Qq1/sk4uKF7zs3oMMp7voTnVjA1ylvn8a1UjdPXzgNw41boG+crAN8KPpy5nq1TVJhp/i1emjsP75nk3+re/1BsS5Cvhn7wJWtHzOPw7O3cNfK7oJgQqpUx4yhbmbNhV7I5rlKznFF+kCjPSOHD71Ke0XOUr6qX9WZMOOVLlDFwFCvFncevFwe+FV/le0Z9f/gNq74nlf++DLEPoyhduCx5lflwVDhSt0IDgmKvmtzzLo2tpPYZGW8fdoLw9qZqK1as4IMPPmDz5s3UrFkTQRCIjY3F3t6eTp06sXfvXuzs7Bg5ciSHDh0iMTGRevXqcezYMe7evcugQYO4efMmPXr0eK3nGZ9xnnOChlbQ0rVxOz5p0YXE1CRmblnKomFTeZr0nKmbAlClqcnnnoe5A7/G1dnFog6NLTwF2+g6BdXZO/qTOKISbiMgMKPfOCLio1Glqfmw+Qf6kzgEQdDxt+qqf7ZxHZqcU84i42MREJg1ZCJht6NQp6np2bqz/pQzrSDQvXkHPm3XXc9jXocm53QcrSDQpUEbPm7WmcTUZGbvXEbAwG95mvSc6dsWk5quIp9bXub0nUDhTlX1dWgMp5zFAAKzRnxDeMwtVGlqPmpnkL/vZD+mDh1vcmqQeR2anFPOtFotXRq05eOmnXSy7FpGwIBsWbYvJjVdTT63PMzpM4HCXXxM2ltMW4u1i6uzi74Ojdi2lspnjOtD5Jw+pBUEujZsq9dp1valLBw8hadJz5m2dZHeNnO+moirs4tFHZqcU2C02mye5l2yeZawcLDOxtO2LDTw9JtEoQ6VRXO4OruY1IfQnz6UEAuCwIwBEwiPj0KVpqZni07604cErZauTdvzaetugGV9iJwThgStlq6N2/NJyy4kpiQxc8sSFg2fxtNEnc+kpqnI55GX7wZOwtXZ1aIOjRgese1UqGMV6XLeSTOeP7J5GhrxbF3KoqHZPN8HoErP5umfzZNdh0as/+bUock55SzqbiyCIDCj/3gi4qNQpav5sHkn/Slnglaga5P2fNLaiMeoDo3+lLP4GBAEZvl9TXhspC5fte2i/03fKSOYOnicPl8Z16HJOSUqKiEGQYCZgycQflsnS8+WnfSnRGm1Wro168CnbbvpeY3r0Ii1jRR53LgOTc4pZ4KgpXODNnzcJDv/7l5OQP/JOo4dS3Rt7ZaH2b3H4+rsYlGHxlb/BfH9dsE2ld7JPJNzylnU3ds6//1qLBF3stu62QdWc4e+rY3q0OScchZ1RxcHMwdPJDxO5789W3XWn3Km1Wrp1rwDn7Y19P05dWjE+q95HZoSBTxZNGg1n37XmU71uqN0VvLj6R36U87s7ezZc2Y3O09u1v/GvA7N//fYSiqf+V/An0UnvbVntXw47609661OaN425MKa1iEX1rQOubBm7pALa1qHXFjzJTxyYU2rkAtrWodcWDN3yIU1rUMurGkb/q0Tmv9MHRoZMmTIkCFDhgwZMv7LeNunj70t/CeObZYhQ4YMGTJkyJAhQ8a/E/IXGhkyZMiQIUOGDBky/gP4t55y9q/eQyNDhgwZMmTIkCFDhgwdjhQe/9ae1fZxwFt71r/6C436krgNfQCu9TxFb5B1a14GQPTmVuX7JSXbgCx2Q79j5UKSySKFXUB8e7vW83xnNlXn+IwUPFJtJpVig6xkG1tF8rjU1m1qlWIjs+bmI1EcAE7Vi0gii1T21YRIoJNPEUk2/abfeChaFucaRSXZDA2IPpjF2beYZDq9SwfNSGVfKfK4ZAfWSHDoAkhzkIRU4xkpdJKqnxR7uEDEel2+u7fwuCieEuNaSRaT/wuQ99DIkCFDhgwZMmTIkCFDxjuGf/UXGhkyZMiQIUOGDBkyZOjwb/1C85+Y0Gi1WuZuWUbknRgcHZyYNmAspYqU0F//69o51v66HQeFPV2bduDDFh/kypVTZE5hr6Bro7b0aNLR5PrzlEQmb5hHWkY6hfIWYHrfsbiZy7J1OZEJMTg5ODK1n5ks2cXhFPYKujVpT4/m1mXJKdIVmRCr4+njb8qTXaRLYa+gW+N29Gja0SqHriBmNI4Ojsz0m0SpYp4m96jT0xg4zZ+ZfpNMCmJa2OUVz3uenMg3678jPUOjs8tXY3F1drHUSaRtJG/rfTtQKLLb2opOkzfMI02TTqF8urY210nPI8JnbOVwdbK075zvlxIZH4OToyPTBo6nVFGDbXIKsinsFXRr3oEPW3aybt+t2fZ1dGKaRRvpCsw52Gfb9yX+K1YWKXlyCgEqFAq6vN+WHo07WNp303y9/07r7W/VvrM3LOZWnE6WGUMmWI2nQbPGMGPoRLxK5B5Ptsjj/g/Zd/Z6I52G5qLTjDHMGDbx5TnChngyz51zNizhVnw0To5OTB8ynlJFDbKcvHKWtXu26HRq0ZGerTvnqtOc73U+7OToyLQB40xtk11UUGGvoFuz9rnGwZxNS7gVr8tV0webyZJd2FihUNCteUd6tnqJ/4rUKaegoL4v6DvGsi/4fbtOlsbt6dHMsi+QXCcJ7CtFHpeyj8spXKqw18Vk90btTa6/SElk8uYF2TGZn2m9/PGQ2C5S2kYKnUC6frJ6WV/GfTiZ3gt7mvw9pzhnVlYme87u5qfTO3PVx8WrIB4Ny4JWIDX4Pqpg60tw3WqVROHmRNJpy+V3UuUZGW8f/4klZyeuniVdo2HrtEBGfTKAxTvX6K9lZGaycMdq1kycz8bJS9hz4g+evHhmlScjK5NFP61h1ai5bBgXwC+nD/Ik0fTe9ft30L5eCzaNX0ylUuXZc+qAqSzXzqLJ0LB1ygpGfjSAxbtNZVm0azWrx81n49eL2fNX7rKcCDqn4/lmGSM/7M/in9aZ8vywltX+37FxwkL2nDpgISfA8Yun0Wg07Ji/Fv/eQwj4PtDkekh0BH2+GU7Cw5ev/32d563bt50O9VuyaeJiKpYqx56//rDUSQLbSNbWmZks+mENq/znsmF8AL+ceklbT7Te1iCNz0jBAfDnlTNoMjRsm7mSUZ8OYtGOVaa22b6SNZMC2DR1KXv+3G/dvtfOkp6hYevUQEZ9NIDFu8zsu3M1a8bPZ+M3S9hzMnf7SiGLVDwZWZks2rOOlSPnsN5/AXvPWLHvgZ20r9uCjWMXUrFkOX45fdBSlsunSddo2DF3NaO/GEzA1pUm10NjIug7dQQJD1++z0UKeSSz76Vsnb5bzehegwnYYqZTdAR9p4wg4dErdJIgnv68fIb0DA3b56xm1OeDWLjVVKeALStZO3kR389Yzp7j+3jy4ql1na5m22ZGIKM+GciiHavNbLOKNZMWsGlK7jnizytnSNdo2D5rlU6WbaYcAVsDWfvNQr6ftuzlskig04mg7Lw5eTkje/Zn8Q9rTe2+ew2rx85j48RFurxppS+QVCcJ7CtVHpeqj8vMymTxnnUE+s1m3ej57D17kCdJZv57cBft6zRng38AFT3LseeMWUxKYBcpbSOFTlL1k/3bDWN274U4OTqb/N1B4cCkT6bTf8lnfBnwIR837UXBPIWs6oO9HXlbePPkpyD+3n0VtxolsFc6md7jYM97Havg7utpnQPp8oyMt4+3OqGZOnUqR48eBWDAgAHcvavb5JaZmcmcOXNYuXIlv/zyi8lvVqxYYfX/vwmCIoNpVL0uANXLVyH09i39tdv34ylZpAR53DxwdHDEt4IP124FW+W5/eAOJQsV199bs3xVgqJDTO65Hh1Kw6p1AGhUtQ6XwoNMZYkKoWE1gyxhtyNN+Qsb+H29fQiKtC5LUHQIDX10z6lerjJhcS/hKV+VoKgQS47wmzSqVR+AGhV9CI2OMLmuydCwbNJcypYoZVWGN3ne9ehQvbyNqtXlopldpLKNZG390PR5Nb1foZOPZVvr5RbpM1JwAATdCqZh9Xo623hXITTWyL45tnHPtk3FalyLuGnJERlMo2qvaV9vH67l5r8SyCIVT9yDBJ19lUb2jQk1ued6TCgNq9QGdPa9GGFp32vhwTT2zY6nClUJi7llcl2TkcGy8bNfGU9SyCOVfV+pU2YGyya8Wicp4iko4iaNatazKsvte/GULGqsU3WuhefmMyE0rFHXYJtX5ggrcRARbJDFuyphsS+TpRrXInKJAwl0CooKpaFPtj7lqry8L3hZnyKVTlLYV6I8Llkf99A0JmuUq8r1aMuYfD87JhtWqcOlW9clt4uUtpFCJ6n6yYS/4xixeoDF372KenPncRxJqkQysjK4GnWJ2t71rerjkN+NzBdqhPRM0Apo7r7AyTOfyT12CntUoQ9JvhBnlQOkyzPvMrSC8Nb+e5t4q0vOChUqRGxsLE+ePEGr1bJo0SKKFSuGn58f6enp+Pj44OXlxb59+3jy5AlOTrrZdUREBMeOHePKlSs2PTdVrcJdaVi8oLBXkJmVhYNCYXHNzdWVFHWKdZ40Fe6uRve6uJKiTjW5JyUtVX+P0kVpcd1SFnsjWVJNrildlCSb/d6ExzUXHjM5lS5KklWWPCmqVDyMnmdvb09mViYOCp1b1Kpc3eqzLWR5jecZy+tmxS76e0TaRrK2Vr9GW6tf3tYgkc9IwJGjk0cu9k1Rqczsa/mMHA5Tv1Pk6ndurq6kqHK3r1hZpOJJSUvF3cXoPmfL+4x1U7q4kpJmzTamPmoeT76VqlnV4Z+QRzr7SqOTFPGUYha/xrKkqE1zmZurq9WclyOLRy4+nGImp9JVSYq13KlOxd3VsMjPQhaja26uSpJziQMpdEo1sptOH3vTnOdq2ta59SlS6SSFfaXK49L2cUrDM52txFyaSh+31mJKCrvk8Eg3nhGvkxT95JFrByhRwPKriburB8nqZCN5UvFwzWNVH3tnBdr0TP2/tRlZ2DubDnGF9EzS45+hrFrMKodOXmnyjAzbcOfOHfbt24cgCPj5+QGQkZHBwIED2bx580t/+9b30Dg7O3P06FFq1apFx44duXfvHlFRUQwbNowHDx6wY8cO3N3d8fPzY9Uq3ae+s2fPMmjQIOztbfug5OaqJDVNrf+3VqvFQaEwXFOr9NdS1Wo8lO4mv1/562aux4QSdTcWn7KVDPemqU2SPIC7ixuqNDUuTs6o0kwDI+d5qjTD87SCYCSLm4mcqjSVhSymPEY6GfO4KEk1eoaOx3xXBrgr3Ux0FwRBn+hfByv3fk9QVChRd2/j41Xxpc/L0dvFyZnUXPSSwjai23rvZq5HZ7e1l1lbm93r7mrW1kaJXQqfWbJkCZf/PCeJ3xlsY2xfg23clUpUamP7Wupr4FBb5TD3u1S1Gg+33P1XrCxieZYsWcLl42eJuncbnzIG+6rS1SYDjxzdVOk59rW0v04W03jSvmE8rfp9i85nJJBHOvua6aR90xwhTTzpritR5WJfd1e3N/Q96znC3SwHqdTW84xOVnP75iZL7nlcCp3csu1mymGU80z6gtzbWiqdpLCv2Dyu10lkH7dq3xaux4QRff82PmUMfVxqutpk8gfWYtKyDxRrl1fxvI5tpNBJyrh+GVLUybi5GE+Y3EhWJVrcV/CTWjgWdEfz0HDN3lFBhtEE53UhVZ55l/E2DwVISkoiKSnJ4u958uQhTx7Lyenhw4f56quv2Lt3Ly9evCBfvnz89NNPVK5c+ZXPeut7aJo2bUp4eDh2dnYEBgZy9epVypUrx8aNG7l8+TLFihXD09OTbdu2UaBAAQAaN26sv24Lalbw4cz1iwDcjA7Du2RZ/bWyxUtz59E9ElOSyMjM4Nqtm1QvX8Xk98O79WX92ACOLvyBhL/vk5iafW9UMNW9TI1co1wVzoRcAuBs6BVqlfcxlaV8Vc7cuKSXpbynkSzFSpnJEkwNM1lMeIKzeWLCKV+ijCnPYyOeyGBqlLPk8a1UjdNXLwBw41YI3qW9cjeiFQzv/hUbJizk2OIfSHh8/6XPq1G+KmeCde13Nvgyvt4+FnxS2EZ0W3fvy/rxARxdlK1TqkEnq22d3QZnQ65Qy0gnKXzG399fMr8D8K1oZJuoMLxLGtq7bPHS3Hl4V2+bq+E3qO5txb7ePpy5aWRfz1fY14rfSSWLWB5/f3/W+S/gyPxd2fZNzrZviIV9a3pV4UxItv+GXsG3fFVLWSr5cPpadjxFhuJd6s3iaViXPpLJI5l9zXV6hTyAxQAAZuFJREFU4xwhTTwB1KxYjdNBFw2ylDLyvRKlufPAVKcaFSzbCMC3wqtsY/DhqxE3rcdBRR9OB2XbJSrUlKOEmX0jbuYqixQ66fqCbH1iwihf4iV5M5e+QEqdJLGvyDyul0VkHzescx/WjZ7Pke92kvD3A31MBkWHUN3oJRNADa8qnA3VxeS5sCvUNMvBUtgFxNtGCp2kjOuXIfZhFKULlyWvMh+OCkfqVmhAUOxVi/ue/HCNB6tP45BPiZ2LA9jb4eSZD819y8nPqyBVnpGhw5YtW2jVqpXFf1u2bDG5b8OGDYwbN46FCxdiZ2cH6Cbrjx49IiEhgcjISK5etWx7Y9gJwlte5PYWkVOIynAqSCwgMGPgBMLjolClqenZspP+VBBB0NK1aXs+bdNNz2FeWDPntCmtoKVrw3Z80qILialJzNy6lEVDp/I06TlTvw9Ala4mn3se5vb/moLtdElCdT5Bf5JX1N1YBEFgRv/xRMRHoUpX82HzTvqTvAStQNcm7fmkdVf9s40La+acchZ197aO56uxRNyJRpWm5sNmH+hPHRO0Wro2bs8nLbsYeLILaxpOgIkBBGaN+IbwmFuo0tR81M7w3L6T/Zg6dLzJCTDmhTWtPS8xJYmZW5awaPg0niY+Z+qmAFLTVOTzyMt3Ayfh6uxqUljTVtsYF9YU3dZGBcNyTm/RClq6NjZq6y1LWTQsu603BaBKy27rgV/j6uxiUVhTjM/k8NjC4ersYlJYM+fkq6g7OvvOHDyR8LhInW1addaffKXVaunWvAOftu2u1yGnsKb+lLOEWBAEZgyYQHh8tn1bdNKfciZos+3b2si+RoU1xcoilse8sGbOqWJaQaBrw7Z83KwzianJzNq+lIWDp/A06TnTti7St/Wcrybi6uxiUlgz55SzyPgYBAFmDZ9EeKxOlo/aGOLvq2kjmTJorMkpZ+aFNW2Rp1DHKpLZN6ewZs4pZyY63Y5EpVbzUVsjnaZm62SUI8wLa9oSTwXbVNIXvMs5fSjyTgyCIDBr2CTCbkeiTlPTs3UX/elDWq1A9xYd+bS9QSfjwpo5p01FJeh0mjl4AuG3dXmmZ8tO+tOmtFot3Zp14NO2Oh82LqyZcyJYZHwsAgKzhkwk7HZUtiyd9SeCaQWB7s078Gk7I1mMCmuK1Ul19o7+lLOohNsICMzoN46I+Oy+oPkH+lPOBEHQ2b2VUZ9iVFhTrE5S2VeKPJ5TWFNsH2dchDLnRDCtINClQRt9TM7euYyAgd/yNOk507ctJjVdRT63vMzpO4HCnXSD3bQr92y2S45tpBrPSKGTVP2kcWHNEgU8WTRoNZ9+15lO9bqjdFby4+kd+lPO7O3s2XNmNztPbtb/xrywpv6UM0AV8oDU63exc3HgvbaVefa7YS+RsmoxHPIr9aecGRfWFBuT/wvY+57fW3tWq/i5b/SFJjY2ln379uHq6kq7du3IyMigfPnyrFixghEjRrz0Wf+JCY0YmE9obEFO1fecgbutMJ7QiOLJntCIgfmERowsUtgFpKkwLVUFZKl8RgoeqarHqy+ItK/RhEasLGJ5zCc0tsJ4QiMG5hMaW2WRyr45ExoxMJ/Q2AK3pmUkq+AtVSX7nAmAzbIYTWhE8WRPaMTAeEIjShajCY2tMJ7QiIHxhEYMzCc0tsCjTTkASWwj1XhGCp2k6ieNJzS2wHxCYyuMJzRiIE9oLNH9eeCrb5II/4k6NDJkyJAhQ4YMGTJk/Nfxtk8fe1v4T9ShkSFDhgwZMmTIkCFDxr8T/+olZzJkyJAhQ4YMGTJkyNDhp7xD39qzPkpc/eqbJMK/esmZVHs8Uv68LYrDvWX2JjUJ9oqI3VMBun0VUqzXl2rNqVT7TaTYVyHV2mAp9puANDolHYoSxQGQp723JO0klf9KtbZdCp7kw9GiOAA82pWXZF9b0oHIV9/4CuTpWEF0zgNd3pNiD41U9pVq35VYeTzalRedf0GXg8X2ccompSWzrxR9Ckizh+bFb+GiOADyda0sif8CkvQHYscPoBtDiLVNvq6VRe/dAt3+LSn2vgCS7MUR2xeAoV+R8f+Df/WERoYMGTJkyJAhQ4YMGTq8zTo0bxPyHhoZMmTIkCFDhgwZMmT8z+I/8YUmp2ZLZEIsTg6OTO3jT6kiJfTXc2qoKOwVdGvcjh5NO+bKpasPobu3S8N29GjcweT685REJm+aT7omnUL5CjCt9xiM68jm1FqJTIjRydJvrKks2bVWFPYKujVpT4/mH+QqS05tEoW9gq6N2tKjiancz1MSmbxhHmkZ6RTKW4Dpfcfi6uSSi047USgUdHm/be46ZWgolLcA03r7W+g0Z8MSbsVH4+ToxPQh4ylV1FN/PefcdoW9gm4tOtKzdWdJdTKuO5xTfyMyPgYnR0emDRxPqaIG++bU31DYK+jWvAMftuz0cln27UChyJbFzC+eJ2fLkt3W0/uOxdXZYF99zZY7MTg6OjHNoq11NVsc7O3p2rQDH+bS1lLqdCrkIhsO7cZBYU/n+m3o3rC9yfUXKYl8u3Uh6RnpFMxbgGmfj8LFis+IbSdbOaz6b3YtBYW9zn+7N7LUafLmBdn+m59pvfzxkIDDml1OBV9kw+FdOp4G1u07eUuAgeeL0SY8hroZ0Tg6ODLTbxKlinmacKjT0xg4zZ+ZfpNM6mZYyBJyiQ1HduFgr9C19fvtLGT5dttC0jM0FMybn2mfWW9rW3KetXayJZ7MfUasfUG6eJJCFoN93yz/WrXvK/qx58mJfLP+Oz3P9K/GonyHdLLoJ7dk504HJ6YNMMud2bVWHBTZubNF7v3k6bBLbDz2Iwp7BZ3rtqJb/bZW79t1+neeJb9geMfeVq+L9V8p+wOpxhBibZNTA0k/tuo7xnJs9ft2FAoF3Rq3p0ez3MdW+hoyWoHU4Puogq0vEXWrVRKFm5O+how5qpf1ZdyHk+m9sKfJ33Pq2WRlZbLn7G5+Or0zV1mk6g/eVcinnP0P40TQOTQZGrZ+s4yRH/Zn8U/r9NcyMjNZ9MNaVvt/x8YJC9lz6gBPEp9Z5cnIymTRz2tZOWIu68cEsPeM5b3r/9hB+7rN2ThuERVLluOX0wdMZbl2VifLlBWM/GgAi3evMZVl12pWj5vPxq8Xs+evP3jy4iWy/LSGVaPmsmFcAL+cPmgpy/4dtK/Xgk3jF1OpVHn2nDpgnWfPOlaOnMN6/wXsPWOF58BO2tdtwcaxC7N1Omhy/c/LZ0jP0LB9zmpGfT6IhVtXmegUsGUlaycv4vsZy9lzfB9PXjz9x3T688oZNBkats1cyahPB7Foh6ksC7evZM2kADZNXcqeP/fnbt/MTBb9sIZV/nPZMD6AX069RJaJ1mU5ce0s6Rkatk4NZNRHA1i8y7StF+5czZrx89n4zRL2nMy9raXSKTMrkyV7NxA4bBZrR8xj77nDPEl6bnLPhsO7aVe7GetHLaBiCS9+OXvI0jYStJNU/puZlcniPesI9JvNutHz2Xv2IE+SzHgO7qJ9neZs8A+gomc59pw5KDmHnmfvegKHzWLdyHnsPXfIkufQLtrXacaG0Quo6OnFnrOmPMcvnkaj0bBj/lr8ew8h4HvTM/xDoiPo881wEh6+vK5FZlYmS37bQOCQWaz1+4695w9ZtvWR7LYeOV/X1udyaWuROQ+kiScp7AvSxJNUskiRfw32fXk/tm7fdjrUb8mmiYupWKoce/76453V6cTVs6RrNGydFsioTwaweKdZ7tyxmjUT57Nx8hL2nMg9d2ZmZbJ03yaWD5jOmiGz+fXiEZ4mm8ZBWkY603Yt4edzlroYP/Nd6Q+kGkNIYZsTQdmyTF7OyJ79WfzDWlNZdq9h9dh5bJy4SCdLLmMr7O3I28KbJz8F8ffuq7jVKIG90sn0Hgd73utYBXdfT+scQP92w5jdeyFOjs6mP1U4MOmT6fRf8hlfBnzIx017UTBPoVztIkV/IOPt4/9tQjNz5kxSUlLYt28fV69eJTMzkzlz5rBy5Up++eUXk3tXrFhh9f+/LoKiQ2joUweA6uUqExZn2Dh7+8EdShYuTh43DxwdHPEtX5WgqBCrPHEP7lCykOHemuV8CIo2vfd6TCgNq+ie1ahqXS5GBJnKEhVCw2p1dbKUr0LY7ZfI4u1DUGQw1nDbXJbyVS1liQ6lYdUcWepwKTzIgifuQYKOR2nEExNqRafaeh4LnSJu0qhmPQBqVKhKWMwtg5z34ilZtAR53LN1qlida+E3/zGdgm4F07C6Tpbq3lUIjTWy7/14ShYxlqUa1yJykeWhaVvU9Lb0i+vRoXq/auRjRZbIYBoZtXXobSO75Mhi1NbXcmlr6XRKwLNgMfIo3XU6eVXhunlbx4bxfmVdWzesUptLkdcteSRoJ6n89/ZDU/+tUa4q16Mt/ff9Kjk61eHSreuSc+h5ChYz8LzSvpY8QeE3aVSrPgA1KvoQGh1hcl2ToWHZpLmULVHK4vkmsjwya+uyVbgea0WWStmyVK7DpcgbFjxS5DydbcTHkxT2BWniSSpZpMi/8Hr9mIl9q9Xl4j9kX0n6lMhgGlV/zdxZwYdrt3LpJx/fxbOAIQ5qlKnM9dthJvdoMjLoULs5X7XqaZVDZ5t3qD+QagwhgW2CokJp6JMtS7kqLx9bvUQWh/xuZL5QI6RnglZAc/cFTp75TO6xU9ijCn1I8oU4qxwACX/HMWL1AIu/exX15s7jOJJUiWRkZXA16hK1vetb5ZCqP3iXoRW0b+2/t4n/twnNkCFDWLFiBQ8ePGDlypWEhISQnp6Oj48PdevWZd++fXz//ffs2LEDgIiICAIDA7ly5cobPytVrcLd1fDxV2FvT2ZWlu5amuk1pYuSZFWqVZ4Ui3tdSVGb3mvMp3S2cl2twl2ZiyzqVJNrShclyWrrspjL7WZFlpS0VIMsLkqL6/p7XIyeaU1mY51cXElJM3uOmU729vZkZmVmX0vFw+iam6trrvaVQqdUtcrkecb2TVGpzOxryW/M80pZ1K+WxdTvFLn6nZurKymqlFxlkUQna/6bZqWtXXQLUZTOSlLUqlfy2NROEvmvjsewcMbNOTedjPzXqiziOKzq5OxqYT8THmdXUtJMr6eoTOPFOJYAalWuTrFCRSyebVUWF4NOVts6XW3U1pbXQZqcBxLFkwT2zZFFbDxJJYsU+deaPNb6MeM2cPsH7SuFTpb9pFHuNLvm5upKijqX3GkeB1Z0yqN0p0EFX6u/N5HnHeoPJBtDiLRNqpHOlrJY5o7cZLF3VqBNN+Q5bUYW9s6mOyKE9EzS43P5wpONI9cOkJmVYfF3d1cPktXJBrnTUvFwzWNdJ4n6AxlvH/9ve2gKFy6Mo6Mjffr0Qa1WU7p0aYYNG8aDBw/YsWMH7u7u+Pn5sWqVbjnA2bNnGTRoEPb2bz4Hc3NVokpT6/+tFQQcFArdNRclqUZJWZVm2tkBrPptM9djQom6dxufMpWM7lXjoXQ3udfNRfcsFydnVOlqPFzNrrsqURk9z0QWVzdSjeTUyWL6+5W/ZstyNxafsgZZUtMsn+Xu4maQJc00Ca76fYt1ndLVeLia6u/mokSVnsNj5TmuSlRqc50csq+5mdg3Va3Gw+2f0Ql09k01sa9Wb193pRKV2ti+lu23cu9mrkdny+JlJovSXG8zWczt5qo0aU9jWcz9zppdpNJp9R/buB4bSvT9OKqWrmh678vaOl1lcl2KdpLMf/dt4XpMGNH3b+NTxqBTaroad/OYs/BfHc+SJUu4dOysKA6AVfu3cj02W5bS5jwvs6+l/d2VbqQaxZJgFEuvg9UHtulkeRBH1VIV9H9XpanxcDHTydk1V1mkynlSxJOU9gVx8WTiMyJkkSr/rtz7PUFRoUTdvY2Pl3FsW/ZjOX2Pi5MzqUZ9i1T2lbJPscidWqPc6ao0iZFUtaUvrTm0gxtxYUQ/iDeNAys6vQzvan8gZgwhlW1ynpfr2MrVfGxlaTOPRl44e+bDsaA7moeJ+r/bOyrIMJrgiEWKOhk3o0m2m4sbyapEk3uk6FNk/P/i/3UPjbOzM87Oztjb2+Pk5MTGjRu5fPkyxYoVw9PTk23btlGgQAEAGjdurL/+pqhZvipngi8BcDMmnPIlyuivlS1WijuP75GYkkRGZgbXIoOpUa6Kye+Hde3LujEBHFmwm4S/75OYmqy7NyqY6l6VTZ9VripnQnXPOht6Gd/yPpay3MiWJTqM8p5lTWV5ZCTLrWBqlDeVZXi3vqwfG8DRhT9ky5KUqyw1ylXhTEiOLFeoZSTLsC59WOe/gCPzd5npFGKpk1cVzoRc1vP4lq9qer1iNU4HXQTgRmQo3qWMdCpRmjsP7up1uhp+gxoVTH8vlU4AvhV9OHNdJ8vNqDC8S3oZZClemjsPTWWp7m1m3+59WT8+gKOLfiDhsZEskbnIku1XZ0OuUMvbrK29fThzM1uW6DC8jdu6eGmztr5JdTO/k0qnoR98ydoR8zg8ezt3jdo6KCaEakYDD4AaZStzNkz3FfRc2FVqljO0lRTtJJn/du7DutHzOfLdThL+fmDQKTqE6mXNdPKqwtnQy9k6XaFmNo+/v79oDoBhnXqzbuQ8jszZQcKTV/FU5myYEY+XaSz4VqrG6asXALhxKwTv0l68CYZ2/JK1ft9xeOY27hrLEhtqpa2rcDY8u63DTWWRKudJEU9S2hfExZO/v78kskiVf4d3/4oNExZybHG2fV/Sj9UoX5Uzwdk8wZfxldi+kvYpFYzaKDoM75KvyJ1m/eSQ9l+wesgcDk7drNNJla3T7VCqGU3aXoV3sT8QO4aQyjZ6WYKzdYoJo3yJl8hixSeTz8by5IdrPFh9God8SuxcHMDeDifPfGjum044xCD2YRSlC5clrzIfjgpH6lZoQFDsVZN7pOhT/leQJWjf2n9vE3aC8C897gBDYc2cU86i7t5GEARmfDWWiDvRqNLUfNjsA/3pMIJWS9fG7fmkZRc9h3lhzZwTf7Raga4N2/Jx8y4kpiYza/sSFg6eytOk50zbshBVmpp87nmY028ShTroEp/qfIL+hJKou7E6WfqPJyI+ClW6mg+bd9KfUCJoBbo2ac8nrbsaZDErrJlzSpRW0NK1YTs+adGFxNQkZm5dyqKhOlmmfh+AKl0ny9z+X+Pq7GJRWDPnRBqtkK1Ts87ZOi1l4eApOp22LjLo9NVECnWsoi+smXPKWeSdGARBYNawSYTdjkSdpqZn6y76U860WoHuLTryafvu+mebF9a0RaeC7XTJJu3qff0JRlF3dPadOXgi4XGRqNLU9GzVWX+CkVarpVvzDnza1iCLeWHNnFNttIKWro2NZNmylEXDsmXZFKC3y9yB2fbNLqypP9UmIRYEgRkDJhAeH6WTpUUn/ak2glZL16bt+bR1N/2zjQtritXJuLBmzilngqClc4M2fNykE4mpyczevZyA/pN5mvSc6TuW6OzrlofZvcfj6uxiUVjT1naSyn+Ni6DlnEijFQS6NGij99/ZO5cRMPBbnU7bFpOariKfW17m9J1A4U66AVQOjy0crs4uFoU1c06J0mq1dGnQlo+bZtt31zICBmTzbF9MarZ95/TJ5skurGk45SwGEJg14hvCY26hSlPzUTtDLug72Y+pQ8ebnHJmXlgz55QzQRDoXL8NHzf+QCfLDysI6PcNT5OfM33nUr3/zu41TtfWZoU1bcl5rs4uFoU1bYmngm0qSWbfnMKatsaTeWFNMbKIzb+uzi4WhTWt9WOJKUnM3LKERcOn8TRRZ9/UNBX5PPLy3cBJFGgtnX2l6FNAV1jTcMpZLCAwY+AEwuOyc2fLTvpTzgQhO3e26aZ/tnlhzZyTvLSCls51W/NRw44kqpKZ+/NK5veepL9v/5XjxD++pz/Jy7ywpq3+C0jSH+QU1hQ7hhBrG+PCmjmnnEUl3EZAYEa/cUTEZ4+tmn+gP+VMEASdzVoZyWJWWFN/yhmgCnlA6vW72Lk48F7byjz73bD3Rlm1GA75lSSdjrFaWLNEAU8WDVrNp991plO97iidlfx4eof+lDN7O3v2nNnNzpOb9b8xL6wppj/4X8BWt35v7Vm9Uze9tWf9JyY0YmA+obEF7i2zg1RkpV/zCY2tMJ/Q2AL3Vl76CY0YmE9obIFb8zIAklQCF1sZGtBPaMTAeEIjBuYTGlthPqGxBW7Ny0jmv2KrOud0PFLwSFVpPSP8b1Ec5hMaW2E+obEV5hMaW+DWtIxk9pUilgDR8pgP/m2F+YTGFiiblJbMvlL0KaCb0IiB+YTGVphPaGyBW9MyAJL0B2LHD2A5obEFxhMaUbKYTWhsgbUJjS0wn9DYiv+VCc1mZd+39qy+qs1v7Vn/iWObZciQIUOGDBkyZMiQ8e/Ef6KwpgwZMmTIkCFDhgwZ/3X8Wwtr/quXnMmQIUOGDBkyZMiQIUOHTa593tqz+qm3vLVnyV9oZMiQIUOGDBkyZMj4D+BtF7x8W/hXT2ik2tj6dNd1URwFPqsJwBO1uE1nBV3LobZSyOxN4eqi5Ktt1UVxfP/lTZ79YL0i/Zsg/yfV+et+oCiOZsX9ADj/cKMonveL9uf6k59EcQDULPgRj1Rhr77xJSii1J34I8VGfE2SeJ9xyqNka/BwURy9q61ke8gI0bL08lnBC7W4Dd75XHWbSKXYyPztkWaiOABmt/2L9BT1q298CZzdXSXLeQfiZonm6VhmCilpL8TJ4pKPjL+TX33jK+BYyIP7y06K4ig+qjkAf95dLIqnpecYgp/+JooDoFqBrlx5vEMUR53CX7DqypeiZRlWZxsbrw8UxdG/5noAXqjvieLJ51qCRLX4A2vyuhblwYpTojiKjWgKIPoAHecaRdHeeSGKA8C+VD6yYl9enPJVUHjllyzPSGEXkOZwF7EHC4DucAEZ/3/4V09oZMiQIUOGDBkyZMiQoYP8heZ/HDm1FBT2Cro0bEePxh1Mrj9PSWTypvmka9IplK8A03qPwdXJxYLnzK2rbPrrZxT2Cjr5tqBr7VZWn/fD+T94mpLIsDafm/xdq9WycO5KoiNv4+ToyKRpo/AsZflmYP7M5eTJ68HQUV9Z5ddqtcydM5fIyEgcnZyYNm0qpUqV0l8/duwYmzZ9jx12fNizBz169LDgsMOOL+tPpuR7FcnM0vD9hek8TjYcDdmgbEfaV+6DVsjidMyvnIj80aosAKcjrvD9yZ9R2NvTqVZLutZpbfW+3ef+4FnKc4a17WVFJ4GdS09yN+YJDo4Keo9vSeES+fTXj/4YxJkDYXjkcwWg15gWFC31ngXH1iVHSIj+GwcnBf3Gt6eIp+GeQz9c5tSBm3jkUwLQd2xbipUqYEUWLRsX7iM++iGOTgoGT+pOUU/Dfft3n+XEvqvkeU/HM3B8V4qXLmTBsXjuWmIi43B0cmTC1OF4lipm8ayAWavwyOPOkFG9rdoMDDVbFPYKujZqS48mHU2uP09JZPKGeaRlpFMobwGm9x1r4b9arZbZ8+dyKyoSJ0cnZnw7lVIlDT5z4PBBtu/aib29PRW8vfl24jfY25sehChoBQ6uj+BxfAoKBzs+GFqF/MWU+uv3oxM5tjkKAQH3fM50HVkVByeFhT6CVuDA+nAexSXj4GhPp6FVLXiObL4FArjlc6L7qGpWebRaLQvmLiUqMgYnR0e+mTaekqVK6K//eewvtm7ahZ2dHd0+7ETXHh9YtW9O3QyFQkGX99vmnh8yNBTKW4Bpvf0t7GuHHZ0r+1PUozxZWg17QwN4lv222d0pP59Un6q/t6hHeY5ErePy3d8t9Jkzby63IiNxcnJk+pRppm106CDbd+5AobCngncFJk+ybCNTncTlPK1W4OcVl7h/+zkOjvZ8Mvp9CpXw0F+/c+sJv67VFajzeM+VXhMb4WjWTlqtlnlzFhAZGYWTkxNTpn1DyVIl9dePH/uTzZu2Yocd3Xt2o3uPrliDVqtl1qJ5REZH4ejoyMxJUyjlaeA5cPQQ237chb1CQYVy5ZkydlKutnEuWwCP+qVBK6AKfYgq9IHV+9xqemLv5kTyWdMveVqtwO5lp7kb8xQHJwW9xjajcIm8+uvHfrrJuYMRuOfT2fNz/6YULZnPqk7rF+4lPuoBDk4ODP26J8U8C+qv79t1iuP7L5Mnn64S+eAJPShRurCFLN8vPsCd6Ic4OjowYGJninrmN9hl93lO/nGdPNk5r9/4DyheqiDmELQCf34fx5M7KhSO9rQeUJZ8RQ3+8DAmhdM77iAI4JbXkXbDyuHgZGlfQStwZGM0f8enoHC0p/3gCrxX1FV//UF0Mie2xeh48jnRya+SBY8urpcZxfU4s7g+lR3XvDSutVot8+cuISoyGidHJyZPG0/JUp5GPH+xZdOO7PzQmW49OlnlATh3+wZbLu9DYaegY5VGdKra1Op9P10/xjNVIoMbfmghy5wNS7gVr5Nl+pDxlCpqkCWnXpvCXkG3Fh3p2bpzrjrNXL6AiNgonBydmDXmG0qXKGlyjzotjf4TRzB77GS8SpWxzrEygFux0Tg5OjJz9NeULm7JMWDySGaN/gavkpYcOZAmz0hjm5z6MQp7XR7v3qi9yfUXKYlM3rwgO4/nZ1ovf1ysjPMAqpf1ZdyHk+m9sKfJ33Pq2WRlZbLn7G5+Or0zV9vIeLv4TxzbnJGVyaKf17JyxFzWjwlg75kDPEk0/ey6/o8dtK/bnI3jFlGxZDl+OX3AgiczK5Nlh7aw9MvJrOo7nd+uHuNp8guTe9IzNEzfs4I9l49YleXUifNo0jNYt3UxQ0Z9xYrFGyzu+fXnA8REx71UpxN/niBdo2Hrtq2MGjWSxYsMyyCysrJYtmw5a9euYeu2LWzZvJXnz59bcNQq2RJHhTNzDn3JT0HL+LT2OJPrn9QaS8Cxgcw53Jt2lXujdPKw4DDYZTNL+3zLqn4z+O3KMZ4mmz4vLSOd6T8vZ8+lQ7nqdP1MDBmaTCat/Igegxry06ozJtfvRP1Nv6/bMG5pD8Yt7WExmQG4diaKDE0WU1b34qNBzdi96oTJ9fioRwz65gO+XvYZXy/7zOpkBuDyqXAyNJnMXjeYz4a0Y9uKgybXb9+6z/ApHzItcADTAgdYTGYATp+4iEaTweqt8xk88ktWLv7e4p7ffj5MbNTLa0lkZGWy6Kc1rBo1lw3jAvjl9EFL/92/g/b1WrBp/GIqlSrPnlOW/vvnyROkp2vYsWkro/1GErDU4DNpaWmsWL2KjWvWsX3TFlJSUvjrtOVyi1uX/iYrQ0vfuXVp2cubY1sMdU8EQeCPNeF0Gl6FPrPr4lWzAIl/p1nVKeLSYzI1Wvp9V5+Wvbw5uuWWCc/+1WF0Ge5D3zn1KO9bkBe58Px14gyadA0bt65k2KhBLFu8Sn8tKyuLlcvWE7h2IRu2BrJ9yw+8eG5ZfTojK5NFe9axcuQc1vsvYO8ZK/Y9sJP2dVuwcezC7Pxw0IKncuHGONg7se7SMA5HraNDxWH6aymaZ2y8MpqNV0ZzJGo9D5KjuHJ3vwWHro3S2b55K6NGjGLhEtM2Cly1ko1r17Pt+60k59JGep0kyHkh5xLIzMhi9NL2dOrny+/rDNW1BUHgh6UX+WxsQ0YubkflOsV4/ijFguPkn3+RrtGwedtGRowaxpJFy/TXsrKyWLFsJavWBvL9tg1s27yd589fWNXp+OmTaDQadqz9Hv8hIwgIXGKwTXoay9evZtOKtexYs0nnv+dOW+XB3o68TcvzdO9Nnvx8HWW1YtgrnUzvUdiTr11l3GpYX4Zy4+xtMjRZTAjsTrcB9dmz5rzJ9YSov+kzqQVjFndhzOIuViczAJdOhZKhyWTuej96De3AluWmPhF76x4jpnzCzJVDmLlyiMVkBuDq6Qgy0jOZsaY/nwxpxY6Vpn1PXORDhn7blW9X9OHbFX2sTmYAYq4+JytD4JMZVWn0SUlO7zDUGhEEgeMb4mgzyIuPp1WhdI28JD9Jt8oTdfkpWRlaes32pdlnZTmxLdaE5/C6SDoMrcgXM2tStsZ7JD6xjG1DXAcybNRAli1erb9miOuAl8a1Mc+mrasZbjU/rGXl2sVs3LqK7Vt28yIX38vMyiTwzA8s7OLPsh7j2Rd6iqepps9Mz9Qw+8gGfg0+YZXjz8tnSM/QsH3OakZ9PoiFWw2yZGRmErBlJWsnL+L7GcvZc3wfT148tcpz7KwunnYv38iY/sNYsHaZyfWQW+F8OWYwCQ9yr31z/PwpNBoNu5asZ8xXw1iwfoUpR2Q4vScM5c6Dly//kyrPSGGbzKxMFu9ZR6DfbNaNns/eswd5kmQmy8FdtK/TnA3+AVT0LMeeM5Z5HKB/u2HM7r0QJ0dnk787KByY9Ml0+i/5jC8DPuTjpr0omMey73/XoRWEt/bf28R/YkIT9+AOJQsVJ4+bB44OjtQs50NQdIjJPddjQmlYpQ4AjarW5WJEkCXP3/fwzF+UPK7uODo4UKNUJW7cMS1SlZ6poUONpvRp0t3i9wA3g0Jp0Kg2AD7VKxERalr0MORGOKE3I+j6YQdrP9cjKCiIRg0bAlC9enVCQw17NhQKBXv3/oKHhweJLxIRBAGlUmnB4V3Yl+D7ZwGIfXKTMgWqmFy/+yISVycPHBXO2NnZkZtvmtrFkeqlK3E9PsLkHk1mBh1qNqNvM8svRTmIDn5A1Xq6yudeVYoSH/nY5Hp85GMO7rzC/BE/c3DHFascUTfvUq2erpBp+arFuX3LdI1u3K2H7N9xgTl+O9i//UKusty6GU+NBt4AVPApSUyEaWKPvXWfX7edYurQdezd+pdVjuCgcOo39AWgavWK3AozXecbciOCsOBIuvRsl6scALfN/bd8VUv/jQ6lYdUc/63DpXBL/712I4jG2T5To1p1wsINPuPk5MS2jZtxddG9Sc3MysLZ2dmCIyHiBV41dZPAEhXy8iDWsL/h2X0VSndHLv1xh21Tr5CWkkGBEm5WdUoIf0E5Xx2PZ4V8PIhJ0l97el+Fq4cjF/fHs2XKZdQpGRTMhedGUDANGtUDoFr1KkSEGiZYCoWCH/Zuwd3DncTEJARBwFXpasER9yBBZ1+lkX1jQk3u0eUHXdw2qlrHan4ona86UU8vAXA3MYwSeSpalblTpZH8HrYYAcvP/kHXg2jUsBGQ3UZhBjmcnJzY9v0WXF11OmRlZuLs5GTBodNJmpwXG/qYSnV0g/oylQuREGUYSPx9Nwm3PM6c2htO4LgjpCZrKFwyrwXH9aAbNGzYAIBq1asRFmrIDQqFgp/3/oCHh7tRrrJsI4Cgm9dpVP99nW18qhEaYci9To5ObF+zCVcX3dvWrKwsnJws/RfAIb+SzBdqhPRM0Apo7ifiVNxUbjsHe9ThD0m+ZL2AYEzwQ6rU1b3R9qpShPhbpkVR70Q94fDOIBaO+o1DOy3tmoOIG3HUrK/zkwo+pYmNMB2Ext66x96tJ/h2yCp+2fqnVY5bN+9Qo76uoJ93VU9uR5h+bbod+YDftp1lxrDv+W3bGWsUANy/lUzpGjo7FPN259HtVP21Fw/ScPFwIOjQQ36eFU5aShbvFbfeTndvJVK2hu5lU/EKeXgYY5QjHqhx8XDkyoF77Jx+g7SUTAoUt+ybbgSF0KBRXSAnrg0vPHRxvdkorrEa1wDXg27yvj4/VCXcgmfrK/MDQPzzh5TIWxgPFzccFQ5UK+ZN8APTvluTmUG7Su/Tq05HqxxBETdpVFMnS40KVQmLMchy+148JYuWII+7Ll59K1bnWrj1ParXQm/QuK4unmpWqUZIpFlfm6FhxfQFlH3JV5VroTdoXFvHUaOyD6FRpuMYTYaG5VPm4eVZOlcOkC7PSGGb2w9N83iNclW5Hm2Zx9/PzuMNq9Th0q3rVvVK+DuOEasHWPzdq6g3dx7HkaRKJCMrg6tRl6jtXf8lFpLxNvGPTWiOHDnCihUrmD17Nikphrd2K1aYvgn4+uuvWb16NZMnT9bfFxcXR1xcnGSypKSpcHc1DIiULq6kqFNN7kk1ukfpbHkdIDVdjbuLIfkqnVxJMdukn8fVnfrla+QqS2qqCjd3A4dCYU9mZhYAT/5+xsY1Oxj79bDcfm7Ek4q7h7sRj4LMzEz9vx0cHDh+7Dgff/wJtWvXwsHBcnWhq6M7ao2hbbSCFns7w3KRuy+imdZxN3M67+XG3VOoM6xvzk1NV5nZxYXU9DezC0CaSoOrm2GAZmdvR1aWYdBXt6U3X4xpwdjF3YkKvs/N85YbE9WqdJRuhoGMvb0dWZkGjvqtKtNnTFsmLvmUyOC7XD9nvUq2KjUdpZvhU7S9wp6s7HYCaNi6GgPGd2Hq8n7cuhnP1bMRFhypqWqTtrY3a+vv1/6A/6RBL7UJmPomgJsV/01JSzX4r4vSuv+mpuLuZvAZe3uDz9jb21OwgG6CseOHXahUKt6v38CCI12dibPSwYgDtNltpErO4G5kIrXbefL51FrEBT/j9k3rG1DT1Zm4GPHY2dvpedTJGu7eekGd9iXpNa02t28+4/ZN628rU1NVuLsbbGNsYwAHBwUnjp+i18cD8K1dHQcHy2VrKWmpuLsY5Qcr8W+SH1xcSUmztK+zg5K0TMPfzeMJoFKhhjxOjeOJynrV75SUVNzdc2+jAtlttHP3LlRqNe83eN86j0Q5L02Vgaubo/7fxjGZkpROXNjfNOpcgaHzWhN1/SGRQZZLt1LMcpWujUxz1Z/HTvDpx73wre1rNVfl8HiY+K+9qf/mz/bfn3ejUqtpWNf6QMPeyQFBY3i+oMnC3tn0mUJ6Jul3LL9q50CtyjDJVfYKe5NcVbtFOT73b8LohZ2ICXlI8HnrX2HVqjSU7rnnmUatazBoQg+mrRhExI04rpy1PGxEnarB1T33nNegVVX6j/uAyct6E3nzDtfORlpwAGjUWpxdDf6qi0ndWyx1ciYPIpOp3roI3b+uSEJoIndCrH8VSVdlmeQIE56kDO7fSsK3bTE++bYa8SEviA+2tLNlXCtyieuBuca1dR5L3ztx/BRffNwP39o1cvW9VI0adyfDZEfp5EJKuukhHh4ubtQtVdXq7wFS1CrclUay2NuTmZWZfS0VD6Nrbq6uJKss4xEs40BhxANQy6cGxQoXyVUOgBSVlb7AmKNqDYoVejkHSJdnpLCN7jmG/tbN2TJPp6ap9Lnemqw5OHLtAJlZGRZ/d3f1IFltGAelpqXi4ZrHKse7jCxB+9b+e5v4x/bQJCUl8d5779G0aVOWL1+OVqulTx/d2dfbt29Ho9FQtGhRihcvztChQ/nxxx+Ji4tj48aN1KlTh/Lly3PgwAEyMzP59NNP2bRpE05OTgwbNgwXF+trHs2x6rfNXI8JJerebXzKVNL/XZWmxkPpbnKvm4sSVZoaFydnVOlqPFwN19ce383NO7eIfhRPVU9vA49GbTIQeh24uSlRpRoSoVar1SfjE0dPk/giiXF+03j69DnpaemUKuPJB13bWOFxIzVVZcZj2pytWreiRcsWTJ0ylX379tOtm+nadHVGCi6OhgRghz1aQddpeObzpkaJpkzY24G0TBWDGn1HnVJtuHLnqMEux3Zx406Ezi4ljO2SZjLBeV24KJ1IVxmSiKAVUCh0c25BEGj1YU2U2R139QZluBP1N9XfL2vC4ap0Jk2lMXAIAgoHA0fbnnX0HDUalCM+6jE1G5a3kEXp5kyayrCkQtAKKLLbSRAEPvi4oX4g4tuwInGRD6jdqJIJh5ubKypVmglHTlufPHqOxBdJTBgxi2dPX5CWlk7psp506NJSf/+SJUu4/Oc5ou7G4lPWwJ2aZuqfAO4ubgb/TTPtHAzyuJGqMvIZwdRntFoti5cvJf5OPEsWLMTOzs6Cw9nVAU2aYWAhaHWDBABXD0feK+pKoZI62bxqFuBhbBJlq+e3ypOuNuYRDDzuTrxXVKnnKedbkAexSZStbrk8UBdP5nFgOrhp0aopzVo0ZubUeRzYd4TO3XRfP5csWcLl42ct80O6Gg9XU/u5uShRpefY19L+AOmZKpwVRvFkZ6ePpxzUKNaW83d+tvhtDtzd3VClmk6KLNpoma6NFltpI6lyXg5clI6kqYwG/wL6mHTzcKZgcQ+Kls4HQKU6xUmIekYFX9N9Yu5muUqwkqtatm5B85bNmD5lJn/sO0CXbpZr5N3N/FcQBAvbLFq1nPiEeJbMWWBhG4/3y+JUPC+OBd3QPDR8EbRzUqBNz+RN4Kp0JF39klzVo5p+kuFTvxQJ0U+o9r7l225XpYtJntGa55lPGuPmrhtI12pYiduR96nTyPRLuqubk0nO05rlvA4f1dfnqpoNvYmPekitRhUsZHFytTeJbbQC9gqdDV08HMhXxIUCnjpZStfIx+PbKkr5WH6Rc1YqTHOEYOBx9XAkX1EXCnrq4qtszfd4GJtC6Wqmy4df1k/mwBDX803i2pzH1PcEC9/L4Zkx9TsO7DtM526GLywbLuwl+H40sU/vUrmIl/7vKk0a7s5v1se5uypRqY3zr4CDwiH7mhupRi9HU9Vqk0mLCY+bG6lqszyueLOhnLvSjVSjwbygfTMOqfOMGNssWbKES8fOEn3/Nj5lDF/FU9PVuLtakcUkj7/Z+C1FnYybi/HLRTeSVdYn9jLePv6xLzTVq1enffv2XLhwgffeew8nJycePNC9vbt69Squrq48fvyY+/fvs27dOp49e0bevHlp1KgR5cuX59mzZ+TPn59hw4Zx5coVnJ2dTTheB8O69mXdmACOLNhNwt/3SUxNJiMzg2tRwVT3qmxyb81yVTkTqlsucjb0Mr7lffTXBrf6lJVfTeOP8eu4++whSaoUMjIzuR4fTrWSlh3Dy1CtZhXOn9Etlwq5GUE57zL6ax993pVNu5YTuHE+vb76iDYdmludzADU9K3JmTO65QM3b97E29swKE9JSaF/v/5oNBrs7e1xdXXF3t5ycBr193Wql2gCgFfB6tx9YfiErs5IQZOVhiYrDUHQkpz2DDdn0zcRg1t/xqp+MzgwYQN3nz0kUaWz7/W4MHze0C4A5XyKEXwxDoDYsIeU8DIMYNWpGmb020maWoMgCEQE3aV0Bcv15OWrleDGRd2a7ejQ+3iWLWTC8W3fTaSpdBzhQfGUqWj9LVTFaqUJOq97kxkZkkCpckWMeNIZ9+Vy0lTpCIJA6NVYvCparrX3qVmZC2d0ew5Cb97Cq7xhc3fPzzuxYecilm+YzRdf9aB1+yYmkxkAf39/1o8N4OjCH7L9NylX/61RrgpnQnL89wq1jPw3B741anL6rM5nbgTfxLuc6URu5tzZpGs0LFu4RL/0zBwlK+Ul5toTAO5FJlKolKHDeK+wK5q0LJ490HU+CeEvKFjSeqdcslI+orN57ka+oHBpI54irmSkZep57oQ/109uzFG9pg/nzlwEIPhmGOW9DYOOlJRUhvQflWsc+Pv7s85/AUfm7zLLDyGW+cGrCmdCLgM6+/qWt3wTG/8imAoFdV8FPPNW4VGK5RfEEnkqcOdFiMXf9c8xb6Py3ibXZ86ZhUaTzrJFS/RLz4whVc7LQdkqhQm/rFtuGRf+N8XK5NNfK1DMnXR1Bn/f072xjA15TNHSlgPcGr7VOXvmHADBN4Mpb5arBvYbom8jF1dX7HLZyO9brQanL+iWyN4ICcbby9R/ZwTMRaNJZ/l3i/RLz4yRfP42T/dc5+H6czjkc8XO2QHs7XAqng/NgzcblHj5FCXkom45WmzYI4qXNUza01I1zBrwE2nqDARB4FbQPUpVsL7OvlL1Mlw7r/u6GxkST6lyRfXXVKlpjOm1GHV2ngm5GkO5iiUsOCpUK8X187ovzVGhdynpZciL6tR0JvZZo895oVfjKFvR8mASgGIVPIi7rrPDg6gUCpQ0DNjzFnYmIz2LFw91L2juRyTrJzfmKFExD7FBui+z9yOTKFTKMADMV8SFjLQsnj/UTVbuhidSsKTlxODVcT3aKK5dcj38oUbNakY8oZTzLmvCM7j/SBMec98b0KA7y3qMZ2+/RdxLfExSWioZWZncvB9J1aJevAlqVqzG6SCdLDciQ/EuZZClbInS3Hlwl8QUXY6/Gn6DGhWsf+2pVbU6py7q4ul6WDAVylq+kHsVfKtU5/Rl3b6vG+EheJct90a/lzrPiLGNv78/60bP58h3O0n4+4FelqDoEKqXNX3JWMOrCmdDdXn8XNgValqR5WWIfRhF6cJlyavMh6PCkboVGhAUe/XVP3zHoBW0b+2/t4l/7AvNrVu3iI+P59GjR7x48YJixYqhVuuSWI0aNcjIyKBw4cIkJyczaJBu2c3du3f1iSlfvnwEBwezZMkSPv/8c27evImDgwNFirz6M6g5HBUOjOk5CL8V36DVCnRt2JbC+QqSmJrMrO1LWDh4Kv07fMa0LQv59cwh8rnnYU6/SRY8DgoHRrbrzejtcxAEgU6+LSiUJz9JqhS++30N3306zsrTTdGsZUMuXwhicO+xCAhMnuHPkQMnUKvS6Nrz5ftmjNGyZUsunL9A7959QBCYMXMGBw4cRKVS0bPnh3To2JF+X/XHwcEB7wrefPCB5Skw1+4cp2qxBkxutxXs7Nh4bgoNynTE2dGVv6L2cDLyZ75pt4VMbQZ/J9/lTIz12gkOCgdGtu+D/9Y5aAUtnWq1pHCeAiSqkvnutzXM+2z8a+nk26Qc4VcTmOf3EwjQZ2IrLh67Rbo6g6adfeg24H0W+e/FwVFB5VqeVGtQxoKjdpMKhF6JY/aw7QgC9J/UgfNHw0hXa2jepSYfDmzK/NG7cXBSUKVWaWo0sJ7I6zarzM3L0UwZvBZBgKGTe3DmyA3S1Bpad63Lp4PbMGPEJhydFPjULodvQ8v9Ek1b1ufKhesM7TMJBIFJM0Zw9OAp1Ko0unzY9rVsAjn+O5jhyyajFbR0bdiOwu8VJDE1iZlbl7Jo6FQGfPA5U78PYO+Zg+Rzz8Pc/l9b8LRq3pLzFy/Qq18fBARmTZ3BH4d0PlO1ShV++f1XatX0pf9QXTz2+vRzWrUwnWRVrFeY2BvP2PyNrlPoNLwKIacfoknLpFYbTzoNrcKvy0JAAM+KefGubX0DcqX6hYm9+ZTvv7mIIECX4T4En35AhjqLWm096TSsKnuX3kQQoGTFfHjXtj4gbN6yCZcuXGVAbz8EBKbMmMjhA8dQqdR079mZdh1aM6TfKBQODnh7e9H+A8sXBI4KB8Z8OBC/FZPRCub5YSkLB0/R5Yeti/j1bHZ++GqiBU/449OUL1CHQfVWAnb8EjKP6kVb46Rw5cq9fSgd85Ke+fKaQK1atOTCxQt8+VVvBAFmTZvBHwcPoFarqFK5Knt/+5VavrUYMERX8+OLT7+gVcuWFjxS5bxqjUpy69oDlo0+hAB8NuZ9rv55m/S0TBp29ObTMe+zfd4ZBATKVClE1fqeFhwtWjbn4vlLfNV7AIIgMG3mFA4eOIxapaJHz+506NiOAV8NwcFBgXcFbzp+0N6CA6BV0xacu3yRL4b0A0Fg1jfT+OPIIVRqFVUrVeGX/b9Ru4Yv/UYOAaDXR5/RulkLSyKtQOKpGAp0rw7YoQp7gDZVg52zA/laV+T5H6GWvzFDzcZlibh6l4ARvyIIAr0nNOfS8SjS1Rk06VSFrv3rsXTsPhwcFVT0LY5P/VJWeeo1q8qNy5F8M2glCALDJ3/M6SNBpKnSadOtAZ8Pbs90v7U4OjlQrU55ajWsbMFRp2klgq/EMn3oJgRBYPDXXTl7NJh0tYaWXWrz8cCWzBm1FQdHBVVrl6Xm+95WJIHydd7jTnAiP04PQxAE2gz2IuLsEzLStVRrWZjWA704tDIGASju7U5Z33xWeSrULUjczRdsn3IdBIEOQysSduYxmrQsarYuRvshFdi3PAIEgRIV81CuluWX1+YtGxvFNUyZMYHDB45nx3Wn7LgebRTX1k/VbN6yCRcvXKF/72EICEydMYlDB46iVqnp3rML7Tu0ZnC/kTg4OFDe24sOVvID6Pq44Y0/ZvzvS3RfvSo3ppD7eySlpRLw5xZmdXz1MvFW9Zpw4eYVvvx2GIIgMGvYJP44cxR1mpqerbswrvdwhswZh1Yr0L1FR4rkt57zWjdqzrmrl/hslC6e5o6bwv4/D6NSq/j4A+t7dy04GjbjXNAlPh8zEEGAOWMms//EYVRqNR937PZaHCBdnpHCNg4KB/x7DGTEym/RCgJdGrTRyzJ75zICBn5L//afMn3bYvaeO0Q+t7zM6TvhtfTsVK87SmclP57ewfwfZ7DBfyf2dvbsObObxy/E1zySIQ3sBOEtH0PwFiEX1rQOubCmdciFNXOHXFjTOuTCmrlDLqxpHXJhTeuQC2vmDrmwpnXIhTVtwwqHj9/as0Zk5l7uQ2r8Z+rQyJAhQ4YMGTJkyJDxX8bbPk75beE/cWyzDBkyZMiQIUOGDBky/p2Qv9DIkCFDhgwZMmTIkPEfwNverP+28K/eQyNDhgwZMmTIkCFDhox/N+QlZzJkyJAhQ4YMGTJkyPifhTyhkSFDhgwZMmTIkCFDxv8s5AmNDBkyZMiQIUOGDBky/mchT2hkyJAhQ4YMGTJkyJDxPwt5QiNDhgwZMmTIkCFDhoz/WcgTGhkyZMiQIUOGDBkyZPzPQp7QyJAhQ4YMGTJkyJAh438W8oRGhgwZMmTIkCFDhgwZ/7OQJzQyZMiQIUOGDBkyZMj4n4U8oZEhQ4YMGTJkyJAhQ8b/LBz+vwWQIcMarl69Snh4OBUrViQoKIhBgwa9MUdgYCCJiYnkz5+fpKQkJk6c+A9IKkOGjP9lqNVqXF1d/7/FkCFDhgwZIvCfnNDcv3/f5N/Fixe3iefRo0doNBqePXtGjRo1bJYnKiqKuLg4SpYsSaVKlWziWL16NY8ePUKtVjN//nybOAIDA03+7efnZxOPFHBxcdEPMpo3b24Th5+fH9u3b6dXr15s3bpVErnS09NxdnaWhOvfgN9//50yZcpQvXp1UTwnT56kVKlSeHl52cwRGRlJqVKlcHFxESVLSkoK7u7uojgA7t69y8OHD1GpVDRt2tRmnr/++ovg4GBAXExKxfOu4Ny5czRs2FA0z9q1a+nZsyf29vY29QVSvzjJyMggIyMDpVJp0++3bNnC1atXqVChAnFxcSxcuNAmHqn6N7Fx8ODBA4oVK2bz83MgRY7JgRSxJFU8RkREEBERAUC3bt1s5smBmD5u79692NnZ6f8thTy2IDAwkKtXr1KvXj2uXLnCxo0bbebSaDQ8ePCAIkWKiO5bZPyz+E9OaC5evMipU6do0aIFf/31F4sWLbKJ5+eff0aj0eDs7Cwq4R87doy8efMSHx9v84TG1dWVypUro9VqbZbDz8+Pa9eucefOHdLS0mzikCqRnDhxAtB1ZgAVKlSwicfe3p61a9eSP39+m36fg6lTp/L06VOysrJYs2aNTRy//vqryb9tTfY5E9bOnTtz6tQphgwZ8sYca9asoUyZMrRv394mGXJw7949Hj16JHpCEx4eTlRUlKjBxvHjx3FwcGDgwIGiZNm2bRsFCxbko48+EsWzefNmXFxcyMzMFDWhCQ4OlmQCIgXP7NmzyZcvHyBuECYFzw8//MDVq1exs7MTJUvp0qW5cuUKYFtMSvniZOXKlWi1WlQqlc0To9atW9OyZUvs7cWtKJeqfxMbB7/++isuLi589dVXNssA0uSYHEgRS1LF9W+//caXX34pmkeKPq5evXqoVCoSExN57733bOKQYgzh5+fHypUr6d+/v8kEyxasXLkSZ2dntFrtv+JF0L8Z/8kJTffu3YmLi6N69ercuXPHZp6srCzKlStn8cXnTZGSkkJERITNX4pA95XJ3d2dqKgoUbKcPHmSPHnykJmZadPvpUok1apV07+9shXGb05jY2NFcRUtWhRvb28yMjJs5khNTcXT05Py5cuLksXZ2ZnRo0ezceNGbt++bROHIAgkJCSIkgMgLCwMOzs7/dc9WxP+hQsXsLe3Jz093Waeu3fvolAouHz5MgB169a1SRaAFy9e2PzbHLi5ufHee+/x6NEjmzkCAwO5desWK1asEDVwl4Ln3r17uLm50a1bN1GxLQVPeno6U6dOJSIiwuaBE8DBgwepUKEC+/fvF8VjZ2cnyYuTFy9eULBgQVQqlc0cOf6fgxIlStjEk9O/3bt3z2ZZQHwcJCUloVKp9P2srf2kFDkGpIklKeM6IiKCPXv2iJ7YS9HHlShRgilTpiAIApmZmcybN++NOaQaQ7Rq1YodO3bQqlUrmzlA94XG+H9lvLv4T05oAgMDef78OSNGjKBWrVo289SuXRtBEEQ7etOmTXn27BmFChUiKSmJPHnyvDFHQkICz549o3DhwqJkcXZ2xsXFhbi4OJs5pEgkzZo149mzZwA2JzU/Pz927NjBF198IfrNabt27VAoFMTHx9vM8cUXX0iyZK1x48Y8ffqU/v37s3PnTps4cgbsYici3333HQ4ODkRERIjyvc2bN6PVann06JFN/g/QtWtXm59vjKysLLKyskTbpkOHDkRFRYnKMT169CAiIoKKFSty7dq1/1eeS5cuUbRoUa5cuUJycrLNb4Wl4Fm6dCl9+/bl2rVr2NnZUaVKFZtkiY+Pp0OHDty6dUufb2xBeno6gwcPtvn3Ofjoo4+Ii4sTFUt37twhMzOT5ORkPDw8bOYpXrw4Xbp0sfn3ORAbBzlf5y9dugTY/mVbihwDunxw4MABWrRowdGjR//fOHJ4zp49S61atfT2sRVS9HEABQsWJG/evCQnJ9vMIXYMYbx8/vDhw3h7e9ssS79+/bh8+TK+vr42c8h4O/hPnnLm5+fHzJkz2bdvHzNmzLCZJzo6mqtXr4p6mwZw4MAB8uTJw2+//caGDRts4tBoNJQsWVL/9slWFC9eHKVSScWKFW3m+PXXX0lNTeXw4cOiZKlfvz516tTh4cOHNnPkvDkVu+n3999/58CBA6K+Gq1Zs0a/lE4MLl++rH8L+/nnn9vE0blzZwYNGkTevHmpVq2azbIsW7aM2NhYLl26ZPPkCnTL6KKioti+fTsrV660iSM8PJwiRYqwf/9+i7fUb4Jq1arpl5uVLFnSZp4TJ06QnJwsaqARFhZGaGgoly9fFjUIk4InKSmJM2fOcPfuXWJiYmyWRQqeYsWKUaRIEbp06SIqtnOWZfXo0YOUlBSbeTQaDYGBgRb7EN8Ux48f58mTJ/olcLbA0dERR0dHpk2bhpubm8080dHRrFixQrROYuPAzs6OunXrcuvWLVGDZClyTA4SExNxdXXl77///n/lAIiLi8PV1ZXIyEhRPFL0cUuXLqV06dJ06dKFNm3a2MQRGBjIsWPHRI0h/Pz8eO+991AoFBQpUsQmjhz88MMPtG/fXlT/JuPt4D85oZEKSqWSZs2akTdvXlE8efPmRRAE8ubNa/Oyh0qVKhEXFydqIgK6SUTdunV5+vSpzRz58+ene/fudO/eXZQsv/zyC7/99puoJTsffPAB7u7uREdHi5JFo9GQnp5OamqqzRxSLfMCRPMcOnSIO3fuUKxYMcLCwmzmyZs3L0FBQXz44YeiBpZ58+YlNDSUXr166fdWvClUKhVRUVF89tlnODk52SzLzZs3iY+Pp3bt2qJ8LyUlhYsXL4qKpdatW+Pg4EBQUBAHDhz4f+Xp06cPgwcPpn79+rRs2dJmWaTgUSgU7Nu3jxs3bojaK9KmTRtWrVrFypUr6dy5s00cFy9epEmTJtjb21OwYEGbZQFpfObChQsEBQURGBjIuXPnbOYpWbIkarVa9PJLsTrdv3+f27dv065dO1Ev7KTIMTl47733WL16NYUKFfp/5QDdqorVq1eLfmknRR83evRoypUrxy+//GLzBFaqyUhGRgZDhw4V/ZJXoVDw888/i9qfLOPt4D+55EwqPHnyhNDQUNRqtajlLl27duX58+fUrVuXevXq2cRx48YNevXqJXoj6C+//AIgqkMtVKiQ/g25reu3ExMT6d+/P+fPn6dq1ao2cSxZsoTChQvz4sULvv76a5s4ctCmTRseP34s6rOzVMu8pODJzMzkzz//ZPDgwaKWMlWsWJHk5GSeP39OmTJlbOYpWLAgSUlJpKam2ny6U1paGhcuXKB3796i/DcpKYkjR44wfPhwUV/UGjZsSOXKlUXtzQDdgR9VqlQR3aFKwbNv3z6cnZ1FH3QglueLL77g559/pm7dupQuXdpmOcqWLQvovkzbOni6dOkSI0aM0C+hE4P3338fLy8vUS9gtmzZwtmzZ2nUqJEoWTQaDWXKlBG1pwLEx8GLFy84duwYw4YN4/HjxzbLkZNjVCqVqC9XoJtkDR069P+dIwdS8EjRx6lUKmJjY9FoNKIm9zmTke3bt9vMUbBgQVatWmXzGATQv9h69uyZqHwn4+1A/kIjAjkni9WsWVMUz+7duzl58iTnz5+3+S1Lzkk9+/bts1kOQRCoU6cONWvWZPDgwTYvwXj8+DEPHjzg+fPnNsuyYMECxo4di5OTk83LA6pVq8bz58+Jjo7myZMnNssCsH37dlQqFefPn7eZQ6plXlLwfPLJJ3zwwQc8fvxY1GQ8IyODyMhIgoODCQoKspnno48+wsPDA29vb5v3Zvj7+9OyZUuKFi0q6ujc4cOHM3DgQNLT0+nfv7/NPD/++CM7duwQvbylePHilCxZUvRePSl4lEolBQsWFH1ykBQ8ZcuW5dixYzafyJSDfv36oVKpmDBhgk2/zxkc9+nTR/Tb4Pj4eIoXL86tW7dE8fz444+il4vlyZOHvHnziv5CIzYOJk6cyLBhw3BxcaFt27Y2y/HRRx/h5eXFoUOHROskxRJDqZYpSrU0UIo+btOmTVSqVInBgwfToUMHm3lyJiO27gH79ddfqVmzJsnJySQlJdksB0BMTAwFChQQ/bJYxj8PuYVEQKqBhhSde4ECBQgKCsLR0dFmjpUrV+Lo6IhSqWTSpEk21+Kwt7cX/cbI09OTmjVr0rhxY5tPtWndujV+fn58++23/PHHH6LkGTt2LLVq1RL1hlCqZV5S8Gzbto3AwEAOHDggalNqvXr1aN68OfXr12f48OE284A0HfMPP/zA2rVrRXHky5ePzZs38/PPP/PTTz/ZzLNs2TJat25t8xHooHvb/vDhQ44ePSrqTbkUPImJiQwcOJCSJUvSt29fm2WRiic4OBitVivq5QDoXig1bdqUVatW2fR7X19fVq5cSWBgIA0aNBAli7OzM2vWrLH5KyXoTm5btmwZI0aMsPkr8MmTJ2nUqBFFihTRf8WyFWLjQKFQ8OOPP7Jr1y5Rp5KC4ahkscfvenh4iF4SJQUHgI+PDw4ODpQrV04UjxR9nJ+fH4cOHUKr1bJs2TKbOKSYjEi1TLF06dJcvnyZhIQE0af9yfjnIU9obERgYCCRkZFcu3ZN9DKDDz74gM8++8zmEz169+4NQLly5ejXr5/Ncri4uFC7dm18fHxEndVfuXJlVq5cKSrBvnjxgmfPnulPpLMFgYGBfPXVV/z444+cOnXKZlkSEhI4cOAAixcvpn79+jbz5CzzatCggSifkYJn6tSpfPvtt9SvX9/mZY6ge5P2119/8fvvv/PDDz/YzBMYGIi7u7uoSf3evXtp3rw5np6eopYZgG59u5h9YL/99hsrV65k27ZtjBw50mY5UlNTefToEdOmTRN9ZLhYngULFjBhwgScnZ1FfXWSiqd69erY2dmJ3reSlpbGvn372Lx5s02/9/X1xd7entq1a1O7dm1Rsri5uZGVlSXq63ahQoVYtmwZt2/ftrmkwPXr1ylatCg1a9YUtdlcijgIDAxEq9Vy7do1USUSjI9KFvs1I2dJlJiXmVJwgG7p+9ChQ0Wd0idVHwe6CejFixcRBMGm30sxGclZplisWDFREzSVSkX//v2pV6+eqDIAMt4O5D00NqJZs2YULlyYhw8finoDsGXLFsLDw/H09CR//vzUqVPnjTmWLl3KwYMHCQ4O5uDBgzZ/6hUEgZs3byIIAkWLFrWJY/PmzXTo0AEPDw/OnDlj87rTr7/+mo0bN4pa8iPVefZz5syhe/fuODo6iiow99lnn6FSqUQv85KKZ9euXTRu3Fj08iEnJyfRbxkbNGhA6dKlRW2QzZnI2NqRGkPsPrBHjx7h6OhI/vz5RR1QEBERgb29Pb/++ivh4eH/rzyenp6ULl2axo0bExISYrMsUvFcuHCBgQMHsmvXLlGHoTg5OdG7d2/27t1rM8fQoUPZtWsX69at4/vvv7eZ586dOxQuXFjUyZmenp76jfguLi42H3OclZWFnZ2dqHiSIg78/Pw4ePAggwYNEn3EsRRHJYM0+zOk4ADdqXZilmeBoY9zcHAQ1ccB9O3bl7i4OHr06GHT76XYMzVx4kRCQ0NxcXHB39/fJg7QlSWoXr06z58/Z9CgQTbzyHg7kCc0NuLAgQNMnDiRIkWKMG/ePJvfcvfp04effvqJR48e2fyGJX/+/NStW5cvvvhC1HGf/fv35+LFiwAMGDDAJo709HSKFClCkSJFRK3FBd0bLLEb6KWoibNmzRrCwsIICwtj2bJljBo1yiae0qVL6wupATYPwqTiefToEXfv3tUfi2orlEql6Ld6V65cISgoiIEDB4riCAkJEV1R/K+//hK9vGDQoEFoNBpOnjxJQEAA48ePt4nHeC+QmDZq0qQJderUwcnJyWaeFy9e6IuoijniWAqewMBALl68SEZGBuHh4fqv1LbwAKxfv96m3+dg9erV+Pr6smnTJlE8Li4uKBQKUafr7d69m3Hjxomqd/XZZ5+xadMmBEGw+Wh40MVBRkYGJ06cEBUHL168wNXVVdTbdpDmqOS1a9dy//59WrRoQfPmzf/fOEC3PykyMpLu3buL2ssrVR8HupeamZmZCIJg02Ri4sSJaDQaoqKibJbjxo0brFy5kpo1a4oqOOrp6clHH33EunXrbPq9jLcLeUJjI4zXONu618QYYtb0SvGVBzBZQ3716lWbZMrKytJ/5RF7Oo4gCPz999+i9iAcPHiQ4sWLiy6uFRYWhr+/v2idChYsyGeffSaKQyqeESNGiP46A7rK72IrVYeFhem/IIBtxfOkqij+4sULmjZtSvXq1W36fQ42btyIq6srH374oc0cUlV9f/HiBYsWLaJSpUqAbfnG+A2wmJyXlJSEm5ubqDfTOfsgnj17JurLip+fHzExMezfv5+srCybedzd3bl27RoJCQn6GkZvipzJVXJysqg9NKNHj2bTpk08ffqUwoUL06dPnzfmKFKkCPb29jx9+pRDhw7ZxJGDbdu26WWxFfnz52fNmjWSLCVdvXq1KB6tVsuMGTNYt26dzZMRKThAdwDPjBkzWL16tagJTY7vOTo6iu7jkpKSKF26tM314xQKBStXrqRBgwZs3LjRpqWK9+/fp0GDBvTp00fUF/K4uDgCAwO5f/8+gYGBovdeyfhnIU9obETbtm1ZvXo1giDQunVrUVzBwcH6N3K2BEyfPn3Yv38/CQkJoo+IFYtBgwZx+fJlBEFg2LBhorikOGbWwcGBHj16iH7DkrNhXcygHXRvCMV+dZKCJ+e39vb2uLi4iNp71a5dO30FblsxceJEnj17Rv78+W3uCCtUqICdnZ3oiuL379/n8ePHoic0Xbt25ejRo2zZssXmAr53794VJUMO0tPTKV++vCgOsYPJHEyaNImbN2+K2mN38eJFrly5QmRkJJMnT7aZZ9y4cbRo0QJ3d3dRy1vt7OwYNmyYfkJuC/z8/Hj8+DHXr18XvRcnPT2dkiVLijrhSaPRUKpUKdGnREkhy4sXL8jKyhL1cgukOSo5PDycX3/9ldDQUH799Veb8owUHAAPHjzg8uXL+v+19eurn58fjx49Eu17N2/epEqVKgiCYPM+3Hv37vHgwQM8PT1tflnRokUL/V4pJycnm/va7777jgMHDuDu7i56WbWMfx7yhMZGVKxYkYiICO7du8ft27f1bz5tQdu2bQkODhb1hiVnY+COHTts5shZqxwbG2vzumnjI1SvXbsmatBevHhx3N3diYqKspmjTZs2bN26lRYtWtjMAboDF8QM2EG3lCkzM1MUh1Q8xu0iZs0/6CZ7L168EDWZPnbsGJcvX6ZSpUqkpaXZ1Kneu3ePe/fuUapUKe7fv2/zICEsLEy/JApsn3hevnyZjz/+WFTBOz8/PwIDA8nKyhK1edjPz4+EhAQePnyIWq22iaNevXqSfNHbtm0boFsWkiPbm+Lw4cNUqFCBSpUqiXrzP2DAAE6ePElYWBg3b960aRKbc3DJ8uXLbbZtDg4cOECzZs3YuXMnI0aMsJmnRo0anD59WtSpa1JwSMWTmppKwYIFRe0tAsNRyWB7XE+cOFG/TNfWeJg4cSJpaWmUKFFC1IuCnD2UnTp1spkjBzt37qRbt27s3r3bZtusWLECR0dHmjRpYnPemz59OlqtlgMHDtj8Embx4sUMHTpU9IEhoFuarVQqRdU2k/F2IE9oRCApKUn0WznQbdgdOnQoW7du5f3337eJQ4qNgSDNplSpkJCQwLNnz0QNWH777Tfy5MnDqVOnqFKliih5xH5u1mq1dOzYUdQJclLx7N27Fzs7OzIyMkTXZFAqldSoUYP4+HibOfr06UO1atVwcHCweZ28n58f27Zt48svv2Tr1q02y2JrHRxj/PXXXyQkJLBx40a9bLYi57diiswBbN26VVQxyxIlSrB3716ysrK4cuUK8+bNs0kOPz8/Vq9ezcOHD21+4z516lSePXvGH3/8IWpvRqVKlfDy8uLJkyccPnzYpgmNn58fiYmJ7N+/X1QMAERGRlKwYEFu374t6s39b7/9RpEiRfjjjz94/PixTcvgpOCQiqdw4cJcunSJWrVq2SRDDjw8PEhKShI10L106RKnTp2iZcuWnDx5kkWLFr0xR4kSJZg3bx6VKlXi3r17NrdzvXr1mDdvnn4JqJh9dpmZmdy/f19U379+/XqePn3K0aNHuX79uk16GXNERETYJMeUKVNs+p01ODk5cenSJdFf7GX885AnNDYiMDCQ+Ph4li9fzuPHj21OSKDbd2JrDYQcfPHFFwCii8zlbEq1ddmPFF95QPd1R6PRiF6q4OTkZPOJbcYQuywQ4NatW0RHR4ue0EjBU69ePQRBwNHRUZR9t2zZgp2dHb/99pvoJUlXrlxBrVaTN29emzny5cvH2rVrKVWqlChZct682vrGvVmzZjRr1gxA9EbxnDfKYtaCg27i+d5779n8pTElJUXfxrYONHLg6upK1apVRe1bOXr0KCkpKaL3MC5evJhKlSrZ/IVxyZIlFC5cmBcvXvDNN9+IkuXjjz8mKyuLL7/8UtSLnKpVq9K7d2+2b99u85JdKTik4Llx4wbx8fEUKFAAT09Pm+UAw1HJYlYydO/enbi4OHx8fIiLi7OZx87OzuZ9fsbInz8/H3zwgWie3r17s2/fPlH7pY4dO0ZsbCwuLi4215iSgkMq5OTesmXLii7PIeOfhzyhsRE5S0EA0YOnAgUK0LNnT5t/b3ymvpjTh0BXB8HW4xZzIMVXnvv37yMIAvHx8aKWKkhxAtfSpUtp3bo1TZo0EbXk5vz589jb2+uP+bZ1YiQFz7Fjx7h69SoVKlTAwcHB5gMTUlNTSU1NZdq0aaxevdomDtC1t4ODAwULFhQ1EX78+DEZGRnExMTYzFGvXj2mTp3K06dPycrKsvno8RyIWSp28uRJSb7q3b9/nx49epCZmUlqaqpNHNu2baNgwYKUKVNG1H6TwMBA9u7dS6FChYiJibH5cAspCviCYWBpa2xXq1aNiIgIYmJiePLkiai3/6dOncLd3Z20tDRRexBzNtEXL17c5q/2UnBIwXP8+HHGjBkDwKJFi2w+9AakOyr5888/55dffuGTTz6xmaN58+ZkZGRIctDM8ePHcXd3F9V35yw5++mnn2zum06dOkXhwoXRaDTs37/fJh4pOKSCFEt1Zbw9yBMaEfDz80Or1YpeCiJ2w7mUAS/F5nexX3nAsKnP0dGR4OBg/dvuN4UUJ3CNHj2a4OBgNm7cqK9ZYQu2bNlCQkICJUuWFLUvSAqePn36ULhwYeLi4kRNIKSqk7Js2TIqV64s6nQn/q+984+Juv7j+PMAoeLHEYkhwoBKwGlBDhje+ENSfvsDwobLHEuWSjFN1xjNNRpry6SZxaEwM7kcJcKmK4IK0pDi5wEZFSAK8eNQfh+/bngcd98/2CF+13fN9/vd947r9djc/Oeevjg4eb8+z9f7+QIglUq5DttG3NzcsHbtWubDhlwuh0aj4f562tra0NnZyd3Q1NfXo6qqajFRiXV8Qq1Wcy+YS0tLg62tLfdehxs3bnC7pgCwadMm9PT0MDsiW7duxdatWzE6OopLly5xNVkzMzMYHR3lduOMh7Du7m588MEHJtMQobP0M8TzeRIVlQwARUVFcHBwQElJCXPjqVQqodfrodFouOpRqVTQarXcDxC//fZbBAQEcOlkZWUxv1akhkh4R3WJ/x/U0HBgdEZ4nsB+9dVXiI2NNZv5TB8fH4yMjHCNO4hweURd6gsNDcXQ0BBXQolGo0FXVxe0Wi1XPQqFQogrIkpnenqa+wm3qD0pWVlZGBoagqenJ7NGYWEh+vv78d577+H69ev4/vvvmbWio6NhbW3NPFKSlpaGjz76CPHx8bCysmKuo66uToirl5CQgJGREe7R2Pn5eSEpfSLCBSQSCVavXs31/gILEfV2dnYYHBxkfnCSm5u7eDjlISYmBtbW1tyJdCISIkVoiNDR6XQPTCGwIioqGbjfePLs+lGr1UKCDnQ6HZ544glMTEwwa+Tl5SE9PR1FRUU4deoUVz2WxPT0NKysrODg4IA//vjD1OUQfwM1NIwMDAwgOTkZP/30E9chTKVSYXBw0GwaGhFpMiJcHlGX+kQklHz22WfYtm3bYqIMK6JcEVE6SqWS+wl3Q0PDA4dT1lEOOzs7rs8RsPCz++abbyInJwcxMTFcWmVlZZifn0dbWxvTIbe8vBzOzs546aWX8OqrrzK7EaJcPblcjqamJq7GSJQTbDyc8jZGycnJmJ2d5UqRA+4/kOJ5MCXqcJqTk4PAwEBUVVVxvd/Ozs5wdXXFrVu3TKohSmdpeiEroqKSAeDQoUO4ffs288/ezMwMDh8+jJs3b3LdGQSAuLg4VFdXIyIiglljzZo12LJlC9fXZIl8/PHH2L59O+rq6uDs7Gzqcoi/gRoaRhQKBeLi4qDRaFBZWYkNGzYw6YiKiBXFqlWrUF9fz5VFL8LlEYWtrS3q6+sREBDArJGWloaCggJotVqMj48/4Eo8LCJcEVE6bm5uCAoK4nrCnZCQgBMnTmB4eBgajYbrkMCLk5MTpqamkJqaiszMTC6thIQEAAtb11no6enBwYMH4eTkhPHxceY6RLlxxllw3sZIBKL+j7ty5QpCQ0Nx9epVpuV7Rvbt24empiY8//zzzBq7du3C+Pj4YsPIQkdHBw4cOMD8+qV0d3cjKCgI3t7eJtUQoSMqvVBUVDKwEHWv0+lgMBhw5MiRh379qVOnkJCQAKVSicnJSbz11lvMtXz33XfQarVcSZ5jY2OQy+WYmpqiBZJLkEqlaG1tRWJiIvPvAuL/BzU0jNjZ2aGurg67d+/mSjHKycnBzZs34evrC6VSKbBCNnp7e7Fx40auZaGidgbwUlVVhU2bNiEiIoJ718rIyAjs7OxgY8P3kRHhiojSkclk0Ol03MvqXFxc4OHhIWSMiIfdu3cv/v3DDz/k0mpsbASwsCOKBWOTmJiYyDXCIcqNE9UYmRMSiQQeHh6Li1RZyc/Ph7OzM27dusX8WaqoqIBMJuO6+/LDDz/A1dUVXl5ezBpGvL29F3+fsB7eRWiI0hGRXigqKhlYWNng5eWFO3fuML1eKpWipaUFu3btwpdffslcByBm5Oztt9/mqsFS8fPzw+TkJMbGxoR8Lol/FmpoGNm8eTOmpqYwNDTElaKlUCjQ1tYGDw8PuLi4cCW4iCAlJQUlJSVIT09njpIW4fKIoKWlBd988w1WrlzJHf+4Y8cOODo6QqVScemIcEVE6TQ2NsJgMHBfSg0MDIStre3iosTlTmVlJfr7+6HX6/Hrr7/Cx8fnoaOBIyIikJubCwDYvn07Vz0i3DhRjZE58corr6C0tJQ5JQ1YGGWyt7dHfHw8V0OuUqlQU1MDAMy7UiQSCdRqNfO+l6V0dnZyu6YiNETpTE5OQq/Xc6d4iopKfvHFF1FTU8M8huzt7Y3+/n5kZmYiKiqKq5awsDDcuHGDa+SM+GuWvqeW8BDI0qGGhpHe3l4EBQWhsLAQ7u7uzAsxk5OTUVpair6+Pq5N6yKoqKhARkYG9u/fj8TERGYdES6PCJycnGBnZydkxOvChQswGAzQ6XRcTacoV4RXR61WY3BwEG5ublz5+gqFAg0NDVi3bh1GRkaYdcyJ9vZ2pKWlQavV4siRI0x7Tnx8fPDGG28IqUeUqydq3NFcuHDhAkJDQ1FcXMw8ctbQ0AB3d3fU1tZCp9MxN0fPPfccV2MFiA1dcHFx4b6TJkJDlI5xfwxvoihvop2RyspK7N+/HwUFBUwH3YmJCdjb2yMnJweffvopVy1lZWWIjo5mjmMnCEuB7zHxv5iBgQF0d3cjKiqKa24aWBhnSk1NxdjYmKDq2Ojo6EBTUxMOHDiA3t5eZp2UlBRoNBqkp6cLrO7hGRoawsTEBORyOVdKzsDAAO7du4dnnnmGe6yqsbERzc3NqK+vN6lOdnY2+vr6EBAQwOXyJCcn49ixY1i7dq3FzF0bxwptbW3x7LPPmria+25cSEgIl45SqeT+LJgTxpEznU7HrJGQkIC7d+9i586d6OvrY9Yx3j3geW/T0tIe+MNKeXk5AgICUF5ezrw0V4SGSB3j/hiefTjAQqLd8PAwWltbuXTm5uZw5coVZsfo8ccfx969e/Hnn3/C3t6eq5bg4GDMzc1haGiIS4cgljvU0DDy+++/Q6FQQK/X45dffuHSWrFiBU6fPs0dj8nL0n+fdR7XOEs+PT3N5fKIICMjA66urtwHhMzMTIyPj0Oj0cDf359Zx+iKWFlZcbkiInQ8PDwgk8kQFhbGNYIxNjaGoqIi+Pr6WsylycjISOTn5yMvL88sxjhkMhnm5+e576SJaozMhRdeeAHt7e3Ys2cPl461tfXi+CUL586dg5+fHzZs2ICenh6uWkTQ09OD4OBg7Ny5E9bW1ibTEKkzMTEBiUTClUQHLCTZ3bt3j8vNuHz5Mry8vDA5OckcdBAbGwtgYfSM19nr6uqCTCZDe3s7lw5BLHeooWFEq9XCYDCgsbGRedzMyJ49e/D666+b3DKOjIzEJ598gjNnzjDP/YtyeUQxNzfH/eT07NmzOH78OFxcXNDd3c2sI8oVEaGjVqsxOjoKuVwOtVrNXMulS5cwPz+PgYEBi9mk/NRTT0EikcDR0RHz8/OmLkeYqyeqMTIX5HI5Ojs7UVxczKUTExMDqVTK/ABGr9fj66+/hkajQXZ2NlctIlgaSMHqIIjQEKWj1WoXR854G5p9+/bBz8+P605lSEgI1q9fj82bN2PdunVc9fAyMzMDiUSCM2fOoL+/36S1EISpoTs0jJw9exajo6OoqKjgejKy9KDNe+GRF39/fy4HAhDj8ojEYDBgeHiY685KZWUlurq68Mgjj3D9IvTw8ICXlxfCwsLw22+/mVRHVKpNbW0t1q9fD4VCwb0M0Jxwd3eHSqVCcXExjh07ZrI6RN11AsSFQJgDjY2NixHHPGOg/53+xvIzPD09jdWrVyMwMBADAwNCLp3zICKQQlSohQidgoIC6PV65pCapVy+fBlSqRTFxcXMrv2aNWtw7tw5pKSkQC6Xm7SpMcY///jjj9xR1ASx3KGGhhFRh1xLuXdgxOjyrFixgjvdSQQitl1fv34dq1atglarRWlpKfP3zOiEyOVyruZVlI4IwsPDuRPkzJG5uTk4ODiYPIo6OzsbKpUKUVFRi8EALIhsjMwBg8GA8vJybNu2DWVlZQgODmbSsbGxga+vLwCgpqYGBw8efGgNb29vzM7OoqGhAVNTU9i7dy9TLaIQEUghKtRChE5SUhJqamrQ29vL5SYDC/fiwsPDcfHiRa7m08bGBnl5eVxjdCIwxj8nJSVZzMgvQbBCDQ0jog65loYIl0ck7u7ucHBw4FommJWVJaQWUa6IOe0MsMRmBgDu3r2LRx99FIGBgSatQ5SrJ6oxMhdCQkJQXV2N2dlZrovid+7cQVJSEsrLyxEdHc2kMTk5aXFJf+ZEamoqtmzZgpdffpnre11RUYHPP/8cWq0Wzs7OaGhoYI6R3rhxI27fvm3yCHTak0IQ96GGhhFRh1zin6Wvrw9jY2PcMZ3EvwtPT0/09fVhdHTUpHWIcuNENUbmRFxcHKqrq7nG544ePYp33nkHcXFxkMlkTBrJycmIiIhAa2vrA8tdCTF88cUX6O/vR25uLrq7u5Gfn8+k09HRgatXrwIAzp8/z7Vb5+eff8aOHTuYXy8K2pNCEPehhoawWJqbm6HVauHp6ckVGUr8+zBGqRcWFpq0DlFunDmNKYri2rVrkEqlUCqVzE7a6dOn8eSTT+LatWtobm5mctqNSX/x8fG4ePEiufWCOXnyJB577DHIZDIcPnyYWUfU/c7h4WG0tLRgbm4OKpUKx48fZ9YiCEIc1NAQFsvAwAAMBgN6enoQGhpq6nKIZYQxSp1374W5YE5jiiKYmJjA1NQUzp8/j8jISGYdEc2HJSb9mRNHjx4VoiPqfmdJSQmCgoLw2muv4cyZM0JqIwiCH4ptJiyW8PBwTE5OwsbGhnuRGvHvwlyi1Im/5sSJE+ju7sa7777LFYEugtraWuj1eigUCpPfqSD+N/7+/jh06BBSU1Px9NNPC9E0dWgIQRD3IYeGsFhOnjyJ1NRUrFy50tSlEMsIc4pSJ/4a452g2NhY9PX1mbQWS036I/4aSxzfJAhLQGKgR0oEQRDEMuL9998HADg6OmJ6ehoZGRkmroggCIIwJdTQEARBEARBEASxbKE7NARBEARBEARBLFuooSEIgiAIgiAIYtlCDQ1BEARBEARBEMsWamgIgiAIgiAIgli2UENDEARBEARBEMSy5T9b1ikPqRcVpwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation_train = dataset_train_raw.corr()\n",
    "sb.set(font_scale=0.5)\n",
    "plt.figure(figsize=(15, 10))\n",
    "ax = sb.heatmap(correlation_train, annot=True, annot_kws={'size': 10}, fmt='.1f', cmap='PiYG', linewidths=.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, the multicollinearity still exists in various features. However, we will keep them for now for the sake of learning and let the regularization models do the clean up later on."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Dealing with missing values</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "sb.heatmap(all_data.isnull(), yticklabels=False, cbar=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "At first it may seem that there are a lot of missing values, but in fact, some of them were omitted on purpose, and I made a separate category for them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "specially_missed = ['Alley',\n",
    "                    'PoolQC',\n",
    "                    'MiscFeature',\n",
    "                    'Fence',\n",
    "                    'FireplaceQu',\n",
    "                    'GarageType',\n",
    "                    'GarageFinish',\n",
    "                    'GarageQual',\n",
    "                    'GarageCond',\n",
    "                    'BsmtQual',\n",
    "                    'BsmtCond',\n",
    "                    'BsmtExposure',\n",
    "                    'BsmtFinType1',\n",
    "                    'BsmtFinType2',\n",
    "                    'MasVnrType']\n",
    "\n",
    "for feature in specially_missed:\n",
    "    all_data[feature] = all_data[feature].fillna('None')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If the missing feature is numerical, then fill it with zero, or it would also be a good idea to fill it with the median of the feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "numeric_missed = ['BsmtFinSF1',\n",
    "                  'BsmtFinSF2',\n",
    "                  'BsmtUnfSF',\n",
    "                  'TotalBsmtSF',\n",
    "                  'BsmtFullBath',\n",
    "                  'BsmtHalfBath',\n",
    "                  'GarageYrBlt',\n",
    "                  'GarageArea',\n",
    "                  'GarageCars',\n",
    "                  'MasVnrArea']\n",
    "\n",
    "for feature in numeric_missed:\n",
    "    all_data[feature] = all_data[feature].fillna(0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's change important numerical characteristics that take a small number of variants of values (for example, year) into categorical ones by casting them to strings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data['MSSubClass'] = all_data['MSSubClass'].astype(str)\n",
    "all_data['YrSold'] = all_data['YrSold'].astype(str)\n",
    "all_data['MoSold'] = all_data['MoSold'].astype(str)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Fill in the remaining missing values with the values that are most common for this feature. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data['Functional'] = all_data['Functional'].fillna('Typ')\n",
    "all_data['Utilities'] = all_data['Utilities'].fillna('AllPub')\n",
    "all_data['KitchenQual'] = all_data['KitchenQual'].fillna('TA')\n",
    "all_data['Electrical'] = all_data['Electrical'].fillna('SBrkr')\n",
    "\n",
    "all_data['Exterior1st'] = all_data['Exterior1st'].fillna(all_data['Exterior1st'].mode()[0])\n",
    "all_data['Exterior2nd'] = all_data['Exterior2nd'].fillna(all_data['Exterior2nd'].mode()[0])\n",
    "all_data['SaleType'] = all_data['SaleType'].fillna(all_data['SaleType'].mode()[0])\n",
    "\n",
    "all_data['LotFrontage'] = all_data.groupby('Neighborhood')['LotFrontage'].transform(lambda x: x.fillna(x.mean()))\n",
    "all_data['MSZoning'] = all_data.groupby('MSSubClass')['MSZoning'].transform(lambda x: x.fillna(x.mode()[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "sb.heatmap(all_data.isnull(), yticklabels=False, cbar=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No more missing values!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Fixing skewness</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create a histogram to see if the target variable (SalePrice) is normally distributed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(14, 9))\n",
    "sb.distplot(y_train, kde=True, hist=True, fit=norm)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, target variable is not normally distributed, let's try to fix it by using log."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_train = np.log1p(y_train)\n",
    "\n",
    "plt.subplots(figsize=(14, 9))\n",
    "sb.distplot(y_train, kde=True, hist=True, fit=norm)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's fix the high skewness in the rest of the values "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MiscVal          21.947195\n",
       "PoolArea         16.898328\n",
       "LotArea          12.822431\n",
       "LowQualFinSF     12.088761\n",
       "3SsnPorch        11.376065\n",
       "KitchenAbvGr      4.302254\n",
       "BsmtFinSF2        4.146143\n",
       "EnclosedPorch     4.003891\n",
       "ScreenPorch       3.946694\n",
       "BsmtHalfBath      3.931594\n",
       "MasVnrArea        2.613592\n",
       "OpenPorchSF       2.535114\n",
       "WoodDeckSF        1.842433\n",
       "1stFlrSF          1.469604\n",
       "LotFrontage       1.460429\n",
       "BsmtFinSF1        1.425230\n",
       "GrLivArea         1.269358\n",
       "TotalBsmtSF       1.156894\n",
       "BsmtUnfSF         0.919339\n",
       "2ndFlrSF          0.861675\n",
       "TotRmsAbvGrd      0.758367\n",
       "Fireplaces        0.733495\n",
       "HalfBath          0.694566\n",
       "BsmtFullBath      0.624832\n",
       "OverallCond       0.570312\n",
       "YearBuilt        -0.599806\n",
       "GarageYrBlt      -3.906205\n",
       "dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_feats = all_data.dtypes[all_data.dtypes != 'object'].index\n",
    "skewed_feats = all_data[numeric_feats].apply(lambda x: skew(x)).sort_values(ascending=False)\n",
    "high_skew = skewed_feats[abs(skewed_feats) > 0.5]\n",
    "high_skew"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "for feature in high_skew.index:\n",
    "    all_data[feature] = np.log1p(all_data[feature])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Adding new features</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Just adding new more significant features based on old minor features "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "all_data['TotalSF'] = all_data['TotalBsmtSF'] + all_data['1stFlrSF'] + all_data['2ndFlrSF']\n",
    "\n",
    "all_data['SqFtPerRoom'] = all_data['GrLivArea'] / (all_data['TotRmsAbvGrd'] + all_data['FullBath'] +\n",
    "                                                       all_data['HalfBath'] + all_data['KitchenAbvGr'])\n",
    "\n",
    "all_data['TotalHomeQuality'] = all_data['OverallQual'] + all_data['OverallCond']\n",
    "\n",
    "all_data['TotalBathrooms'] = (all_data['FullBath'] + (0.5 * all_data['HalfBath']) +\n",
    "                                  all_data['BsmtFullBath'] + (0.5 * all_data['BsmtHalfBath']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Processed dataset</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>LotFrontage</th>\n",
       "      <th>LotArea</th>\n",
       "      <th>OverallQual</th>\n",
       "      <th>OverallCond</th>\n",
       "      <th>YearBuilt</th>\n",
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       "      <th>BsmtFinSF2</th>\n",
       "      <th>BsmtUnfSF</th>\n",
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       "      <th>SaleType_ConLw</th>\n",
       "      <th>SaleType_New</th>\n",
       "      <th>SaleType_Oth</th>\n",
       "      <th>SaleType_WD</th>\n",
       "      <th>SaleCondition_Abnorml</th>\n",
       "      <th>SaleCondition_AdjLand</th>\n",
       "      <th>SaleCondition_Alloca</th>\n",
       "      <th>SaleCondition_Family</th>\n",
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       "      <td>9.042040</td>\n",
       "      <td>7</td>\n",
       "      <td>1.791759</td>\n",
       "      <td>7.602900</td>\n",
       "      <td>2003</td>\n",
       "      <td>5.283204</td>\n",
       "      <td>6.561031</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>6.188264</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.075346</td>\n",
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       "      <td>1.791759</td>\n",
       "      <td>7.557995</td>\n",
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       "      <td>5.379897</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.293419</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>4</th>\n",
       "      <td>4.442651</td>\n",
       "      <td>9.565284</td>\n",
       "      <td>8</td>\n",
       "      <td>1.791759</td>\n",
       "      <td>7.601402</td>\n",
       "      <td>2000</td>\n",
       "      <td>5.860786</td>\n",
       "      <td>6.486161</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.196444</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>8.976894</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>4.454347</td>\n",
       "      <td>9.486152</td>\n",
       "      <td>6</td>\n",
       "      <td>1.945910</td>\n",
       "      <td>7.590347</td>\n",
       "      <td>1988</td>\n",
       "      <td>4.787492</td>\n",
       "      <td>6.673298</td>\n",
       "      <td>5.099866</td>\n",
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       "      <td>5</td>\n",
       "      <td>1.945910</td>\n",
       "      <td>7.576097</td>\n",
       "      <td>1996</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.912023</td>\n",
       "      <td>6.937314</td>\n",
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       "    <tr>\n",
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       "      <td>9.204121</td>\n",
       "      <td>5</td>\n",
       "      <td>1.945910</td>\n",
       "      <td>7.583756</td>\n",
       "      <td>1965</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.722630</td>\n",
       "      <td>5.673323</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>1460 rows × 336 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      LotFrontage   LotArea  OverallQual  OverallCond  YearBuilt  \\\n",
       "0        4.189655  9.042040            7     1.791759   7.602900   \n",
       "1        4.394449  9.169623            6     2.197225   7.589336   \n",
       "2        4.234107  9.328212            7     1.791759   7.601902   \n",
       "3        4.110874  9.164401            7     1.791759   7.557995   \n",
       "4        4.442651  9.565284            8     1.791759   7.601402   \n",
       "...           ...       ...          ...          ...        ...   \n",
       "1455     4.143135  8.976894            6     1.791759   7.600902   \n",
       "1456     4.454347  9.486152            6     1.945910   7.590347   \n",
       "1457     4.204693  9.109746            7     2.302585   7.571474   \n",
       "1458     4.234107  9.181735            5     1.945910   7.576097   \n",
       "1459     4.330733  9.204121            5     1.945910   7.583756   \n",
       "\n",
       "      YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2  BsmtUnfSF  ...  \\\n",
       "0             2003    5.283204    6.561031    0.000000   5.017280  ...   \n",
       "1             1976    0.000000    6.886532    0.000000   5.652489  ...   \n",
       "2             2002    5.093750    6.188264    0.000000   6.075346  ...   \n",
       "3             1970    0.000000    5.379897    0.000000   6.293419  ...   \n",
       "4             2000    5.860786    6.486161    0.000000   6.196444  ...   \n",
       "...            ...         ...         ...         ...        ...  ...   \n",
       "1455          2000    0.000000    0.000000    0.000000   6.860664  ...   \n",
       "1456          1988    4.787492    6.673298    5.099866   6.380123  ...   \n",
       "1457          2006    0.000000    5.620401    0.000000   6.777647  ...   \n",
       "1458          1996    0.000000    3.912023    6.937314   0.000000  ...   \n",
       "1459          1965    0.000000    6.722630    5.673323   4.919981  ...   \n",
       "\n",
       "      SaleType_ConLw  SaleType_New  SaleType_Oth  SaleType_WD  \\\n",
       "0                  0             0             0            1   \n",
       "1                  0             0             0            1   \n",
       "2                  0             0             0            1   \n",
       "3                  0             0             0            1   \n",
       "4                  0             0             0            1   \n",
       "...              ...           ...           ...          ...   \n",
       "1455               0             0             0            1   \n",
       "1456               0             0             0            1   \n",
       "1457               0             0             0            1   \n",
       "1458               0             0             0            1   \n",
       "1459               0             0             0            1   \n",
       "\n",
       "      SaleCondition_Abnorml  SaleCondition_AdjLand  SaleCondition_Alloca  \\\n",
       "0                         0                      0                     0   \n",
       "1                         0                      0                     0   \n",
       "2                         0                      0                     0   \n",
       "3                         1                      0                     0   \n",
       "4                         0                      0                     0   \n",
       "...                     ...                    ...                   ...   \n",
       "1455                      0                      0                     0   \n",
       "1456                      0                      0                     0   \n",
       "1457                      0                      0                     0   \n",
       "1458                      0                      0                     0   \n",
       "1459                      0                      0                     0   \n",
       "\n",
       "      SaleCondition_Family  SaleCondition_Normal  SaleCondition_Partial  \n",
       "0                        0                     1                      0  \n",
       "1                        0                     1                      0  \n",
       "2                        0                     1                      0  \n",
       "3                        0                     0                      0  \n",
       "4                        0                     1                      0  \n",
       "...                    ...                   ...                    ...  \n",
       "1455                     0                     1                      0  \n",
       "1456                     0                     1                      0  \n",
       "1457                     0                     1                      0  \n",
       "1458                     0                     1                      0  \n",
       "1459                     0                     1                      0  \n",
       "\n",
       "[1460 rows x 336 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_all = pd.get_dummies(all_data)\n",
    "X_train = X_all[:len(y_train)]\n",
    "X_test = X_all[len(y_train):]\n",
    "\n",
    "X_train"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
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       "      <th>1</th>\n",
       "      <td>4.406719</td>\n",
       "      <td>9.565775</td>\n",
       "      <td>6</td>\n",
       "      <td>1.945910</td>\n",
       "      <td>7.580189</td>\n",
       "      <td>1958</td>\n",
       "      <td>4.691348</td>\n",
       "      <td>6.828712</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.008813</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.317488</td>\n",
       "      <td>9.534668</td>\n",
       "      <td>5</td>\n",
       "      <td>1.791759</td>\n",
       "      <td>7.599902</td>\n",
       "      <td>1998</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.674561</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.927254</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.369448</td>\n",
       "      <td>9.208238</td>\n",
       "      <td>6</td>\n",
       "      <td>1.945910</td>\n",
       "      <td>7.600402</td>\n",
       "      <td>1998</td>\n",
       "      <td>3.044522</td>\n",
       "      <td>6.401917</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.783825</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.784190</td>\n",
       "      <td>8.518392</td>\n",
       "      <td>8</td>\n",
       "      <td>1.791759</td>\n",
       "      <td>7.597396</td>\n",
       "      <td>1992</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.575949</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.925595</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1454</th>\n",
       "      <td>3.091042</td>\n",
       "      <td>7.568896</td>\n",
       "      <td>4</td>\n",
       "      <td>2.079442</td>\n",
       "      <td>7.586296</td>\n",
       "      <td>1970</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.304449</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1455</th>\n",
       "      <td>3.091042</td>\n",
       "      <td>7.546974</td>\n",
       "      <td>4</td>\n",
       "      <td>1.791759</td>\n",
       "      <td>7.586296</td>\n",
       "      <td>1970</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.533389</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.686975</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1456</th>\n",
       "      <td>5.081404</td>\n",
       "      <td>9.903538</td>\n",
       "      <td>5</td>\n",
       "      <td>2.079442</td>\n",
       "      <td>7.581210</td>\n",
       "      <td>1996</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.110696</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1457</th>\n",
       "      <td>4.143135</td>\n",
       "      <td>9.253591</td>\n",
       "      <td>5</td>\n",
       "      <td>1.791759</td>\n",
       "      <td>7.597396</td>\n",
       "      <td>1992</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.823046</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.356108</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1458</th>\n",
       "      <td>4.317488</td>\n",
       "      <td>9.172431</td>\n",
       "      <td>7</td>\n",
       "      <td>1.791759</td>\n",
       "      <td>7.597898</td>\n",
       "      <td>1994</td>\n",
       "      <td>4.553877</td>\n",
       "      <td>6.632002</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.476464</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1459 rows × 336 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      LotFrontage   LotArea  OverallQual  OverallCond  YearBuilt  \\\n",
       "0        4.394449  9.360741            5     1.945910   7.581720   \n",
       "1        4.406719  9.565775            6     1.945910   7.580189   \n",
       "2        4.317488  9.534668            5     1.791759   7.599902   \n",
       "3        4.369448  9.208238            6     1.945910   7.600402   \n",
       "4        3.784190  8.518392            8     1.791759   7.597396   \n",
       "...           ...       ...          ...          ...        ...   \n",
       "1454     3.091042  7.568896            4     2.079442   7.586296   \n",
       "1455     3.091042  7.546974            4     1.791759   7.586296   \n",
       "1456     5.081404  9.903538            5     2.079442   7.581210   \n",
       "1457     4.143135  9.253591            5     1.791759   7.597396   \n",
       "1458     4.317488  9.172431            7     1.791759   7.597898   \n",
       "\n",
       "      YearRemodAdd  MasVnrArea  BsmtFinSF1  BsmtFinSF2  BsmtUnfSF  ...  \\\n",
       "0             1961    0.000000    6.150603    4.976734   5.602119  ...   \n",
       "1             1958    4.691348    6.828712    0.000000   6.008813  ...   \n",
       "2             1998    0.000000    6.674561    0.000000   4.927254  ...   \n",
       "3             1998    3.044522    6.401917    0.000000   5.783825  ...   \n",
       "4             1992    0.000000    5.575949    0.000000   6.925595  ...   \n",
       "...            ...         ...         ...         ...        ...  ...   \n",
       "1454          1970    0.000000    0.000000    0.000000   6.304449  ...   \n",
       "1455          1970    0.000000    5.533389    0.000000   5.686975  ...   \n",
       "1456          1996    0.000000    7.110696    0.000000   0.000000  ...   \n",
       "1457          1992    0.000000    5.823046    0.000000   6.356108  ...   \n",
       "1458          1994    4.553877    6.632002    0.000000   5.476464  ...   \n",
       "\n",
       "      SaleType_ConLw  SaleType_New  SaleType_Oth  SaleType_WD  \\\n",
       "0                  0             0             0            1   \n",
       "1                  0             0             0            1   \n",
       "2                  0             0             0            1   \n",
       "3                  0             0             0            1   \n",
       "4                  0             0             0            1   \n",
       "...              ...           ...           ...          ...   \n",
       "1454               0             0             0            1   \n",
       "1455               0             0             0            1   \n",
       "1456               0             0             0            1   \n",
       "1457               0             0             0            1   \n",
       "1458               0             0             0            1   \n",
       "\n",
       "      SaleCondition_Abnorml  SaleCondition_AdjLand  SaleCondition_Alloca  \\\n",
       "0                         0                      0                     0   \n",
       "1                         0                      0                     0   \n",
       "2                         0                      0                     0   \n",
       "3                         0                      0                     0   \n",
       "4                         0                      0                     0   \n",
       "...                     ...                    ...                   ...   \n",
       "1454                      0                      0                     0   \n",
       "1455                      1                      0                     0   \n",
       "1456                      1                      0                     0   \n",
       "1457                      0                      0                     0   \n",
       "1458                      0                      0                     0   \n",
       "\n",
       "      SaleCondition_Family  SaleCondition_Normal  SaleCondition_Partial  \n",
       "0                        0                     1                      0  \n",
       "1                        0                     1                      0  \n",
       "2                        0                     1                      0  \n",
       "3                        0                     1                      0  \n",
       "4                        0                     1                      0  \n",
       "...                    ...                   ...                    ...  \n",
       "1454                     0                     1                      0  \n",
       "1455                     0                     0                      0  \n",
       "1456                     0                     0                      0  \n",
       "1457                     0                     1                      0  \n",
       "1458                     0                     1                      0  \n",
       "\n",
       "[1459 rows x 336 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Modeling</h3>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To begin with, let's conduct a superficial analysis of the models in order to weed out the inappropriate in this task. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Regressors</th>\n",
       "      <th>RMSE_mean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Linear</td>\n",
       "      <td>0.146851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SVR</td>\n",
       "      <td>0.280308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Random_Forest</td>\n",
       "      <td>0.139525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>XGBR</td>\n",
       "      <td>0.143306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Cat_Boost</td>\n",
       "      <td>0.119795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Ridge</td>\n",
       "      <td>0.130811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Elastic_Net</td>\n",
       "      <td>0.270062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Lasso</td>\n",
       "      <td>0.273554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Stack</td>\n",
       "      <td>0.129516</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Regressors  RMSE_mean\n",
       "0         Linear   0.146851\n",
       "1            SVR   0.280308\n",
       "2  Random_Forest   0.139525\n",
       "3           XGBR   0.143306\n",
       "4      Cat_Boost   0.119795\n",
       "5          Ridge   0.130811\n",
       "6    Elastic_Net   0.270062\n",
       "7          Lasso   0.273554\n",
       "8          Stack   0.129516"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import xgboost as xg\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.model_selection import GridSearchCV, RandomizedSearchCV, KFold, cross_val_score\n",
    "from sklearn.linear_model import LinearRegression, ElasticNet, Lasso\n",
    "from sklearn.svm import SVR\n",
    "from sklearn.linear_model import Ridge\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from catboost import CatBoostRegressor\n",
    "from mlxtend.regressor import StackingRegressor\n",
    "\n",
    "\n",
    "kf = KFold(n_splits=8, random_state=42, shuffle=True)\n",
    "\n",
    "def cv_rmse(model):\n",
    "    return -cross_val_score(model, X_train, y_train, scoring='neg_root_mean_squared_error', cv=kf)\n",
    "\n",
    "models = ['Linear', 'SVR', 'Random_Forest', 'XGBR', 'Cat_Boost', 'Ridge', 'Elastic_Net', 'Lasso', 'Stack']\n",
    "scores = []\n",
    "\n",
    "lin = LinearRegression()\n",
    "score_lin = cv_rmse(lin)\n",
    "scores.append(score_lin.mean())\n",
    "\n",
    "svr = SVR()\n",
    "score_svr = cv_rmse(svr)\n",
    "scores.append(score_svr.mean())\n",
    "\n",
    "rfr = RandomForestRegressor()\n",
    "score_rfr = cv_rmse(rfr)\n",
    "scores.append(score_rfr.mean())\n",
    "\n",
    "xgb = xg.XGBRegressor()\n",
    "score_xgb = cv_rmse(xgb)\n",
    "scores.append(score_xgb.mean())\n",
    "\n",
    "catb = CatBoostRegressor(verbose=0, allow_writing_files=False)\n",
    "score_catb = cv_rmse(catb)\n",
    "scores.append(score_catb.mean())\n",
    "\n",
    "rid = Ridge()\n",
    "score_rid = cv_rmse(rid)\n",
    "scores.append(score_rid.mean())\n",
    "\n",
    "el = ElasticNet()\n",
    "score_el = cv_rmse(el)\n",
    "scores.append(score_el.mean())\n",
    "\n",
    "las = Lasso()\n",
    "score_las = cv_rmse(las)\n",
    "scores.append(score_las.mean())\n",
    "\n",
    "stack_gen = StackingRegressor(regressors=(CatBoostRegressor(verbose=0, allow_writing_files=False),\n",
    "                                          Ridge(),\n",
    "                                          xg.XGBRegressor(),\n",
    "                                          RandomForestRegressor()),\n",
    "                              meta_regressor=CatBoostRegressor(verbose=0, allow_writing_files=False),\n",
    "                              use_features_in_secondary=True)\n",
    "score_stack_gen = cv_rmse(stack_gen)\n",
    "scores.append(score_stack_gen.mean())\n",
    "\n",
    "cv_score = pd.DataFrame(models, columns=['Regressors'])\n",
    "cv_score['RMSE_mean'] = scores\n",
    "cv_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TuXLlNHv2bKsUDAAAAADIeGmGw4iICPXs2VO1a9eWg8MfI1DDw8Pl4eGhFi1aSJLs7e3Vrl07RUVFZX61AAAAAIBMkWY4vHLlisqXL295fOPGDV24cEHVqlWTnd3/vbRgwYK6fft25lUJAAAAAMhUaYbDPHny6P79+5bHhw4dkiTVqFEj1X6xsbHy8PDIhPIAAAAAANaQZjj09/dPtdbhxo0bZW9vr7p166bab926dXrhhRcyp0IAAAAAQKZLcymLbt26KSgoSDExMTKZTIqKilLr1q1VqFAhSdLx48e1fPly7d+/X/Pnz7dKwQAAAACAjJdmz2FAQIDmzZun+/fvKyYmRl27dtWoUaMs23v16qXt27dr8ODBql27dqYXCwAAAADIHGn2HEpS7dq1/zb4zZ07V6VKlZKnp2eGFwYAAAAAsJ4nhsO0vPzyyxlVBwAAAADAhtIMh82aNUv3gQwGgzZu3PivCwIAAAAAWF+a4fDnn3+WwWBQuXLlUq13CAAAAADIWdIMh6GhoQoPD9e+fft07949BQYG6vXXX5efn5+16gMAAAAAWEGa4bBly5Zq2bKlEhIStHPnTm3btk2LFy9W4cKFCYoAAAAAkIOka0IaNzc3tWjRQi1atLAExYiICLVr106+vr4KDAxUYGAgQ08BAAAAIJtKc53Dv/IwKM6ZM0f79+9XYGCgFi5cqFatWmVGfQAAAAAAK/hHS1kcPXpUERER2r59u3799Vc999xzatSoUUbXBgAAAACwknSFQ5PJpIMHD2r79u3asWOHrl27pvLly6t169Zq1KiRSpcundl1AgAAAAAyUZrhMDIyUuHh4dq1a5fi4uL04osv6q233lLjxo1VvHhxa9UIAAAAAMhkaYbDHj16yM7OThUqVFDDhg1VpEgRSdKpU6d06tSpx/ZnaCkAAAAAZE9PHFZqMpl05MgRHTlyJM39DAbDXwZGAAAAAEDWl2Y43Llzp7XqAAAAAADYUJrhsGjRouk+0P79+59qfwAAAABA1vHEYaVnzpzRpk2bJElNmzZ9bKH76OhoTZgwQZGRkQwrBQAAAIBs6omzlb733ntKSUmRJC1ZskQLFixQ9erVdf/+fc2YMUMrVqxQSkqKmjRpYpWCAQAAAAAZzy6tjfPmzdOzzz6r8PBwRUVFKSAgQFOmTNHVq1fVunVrLV68WP7+/lqzZo2mTJlirZoBAAAAABkszZ7Dc+fO6aOPPlLJkiUlSYMHD1bz5s3Vs2dP3b59W5MnT1azZs2sUigAAAAAIPOkGQ4TExMtaxtKUokSJWQymWRnZ6fNmzcrf/78mV4gAAAAACDzpTms1Gw2y97e3vL44X8PGDCAYAgAAAAAOUia4fDveHt7Z3QdAAAAAAAb+kfh0GAwZHQdAAAAAAAbeuI6h2+//fZjYbBTp06PPWcwGHTkyJGMrQ4AAAAAYBVphsM+ffpYqw4AAAAAgA1lSjj86quvVLduXXl6ev6j1wMAAAAArOsf3XOYFqPRqKFDh+rXX3/N6EMDAAAAADJJhodD6Y8lMAAAAAAA2UemhEMAAAAAQPZCOAQAAAAAEA4BAAAAAOlY5zCj7dmzR1OmTFFSUpLKlSunjz/+WG5ubo/tZzabNWTIEJUtW1ZBQUGW56tVqyZfX1/L46CgIDVv3twqtQMAAABATmXVcHjr1i0NHTpUq1atUqlSpTR58mSFhYVp9OjRqfY7f/68PvroIx0/flxly5a1PH/hwgV5eXlpw4YN1iwbAAAAAHK8TBlWajAY/vL5qKgo+fv7q1SpUpKkDh06aNOmTY/Nbrpy5Uq1adNGgYGBqZ4/evSo7Ozs1LFjRzVr1kyzZ8+W0WjMjLcAAAAAALlKpvQc/t1SFjExMamGhPr6+iohIUGJiYmphpaOHDlSkrRv375UrzcajapRo4ZCQkKUkpKi7t27y83NTV26dMn4NwEAAAAAuchTh8O4uDjdu3dPJpPpsW1FihSRvb29Tp8+/ZevNZlMf9mraGeXvg7Mtm3bpnrctWtXLV++/KnCobf34/c3AtmJj4+7rUsAACBb4jvU+mjz7CXd4fD8+fMaNmyYjh8//tg2s9ksg8GgU6dOpXmMwoUL69ixY5bHsbGx8vT0lKura7pq+Oqrr+Tn5yc/Pz/Lz3VweLp8e/Nmgkymv+7ZhG3wofF0rl+/a+sSAABZBN+hTycjvkNp86fDdUvWYmdnSLOzLN3J6qOPPlJMTIyGDRsmX1/fv72vMC01a9bUxIkTFR0drVKlSmn16tWqX79+ul//888/KyIiQrNmzVJycrJWrlypZs2aPXUdAAAAAIDU0h0Ojx07prCwMDVs2PAf/zBvb2+FhoYqODhYycnJKlGihCZOnKgTJ05oxIgRT5yFtE+fPhozZoyaNWumlJQUBQYGqk2bNv+4HgAAAADAH9IdDr29vWVvb/+vf2Dt2rVVu3btVM/93fIUEyZMSPXYxcVFoaGh/7oGAAAAAEBq6V7KokuXLpo9e7Zu3ryZmfUAAAAAAGwg3T2H3333nS5fvqzXXntNRYoUUZ48eVJtNxgM2rhxY4YXaG3uHnmUx9nR1mVkC/cfJOtu/H1blwEAAAAgA6Q7HObNm1cNGjTIzFqyhDzOjuo4aKWty8gWPpvUSXdFOAQAAABygnSHQ+71AwAAAICc66kWCUxJSVF0dLSSkpJkNv+xVqDZbNb9+/d19OhRvfvuu5lSJAAAAAAgcz3VPYcDBgzQjRs3/nK7i4sL4RAAAAAAsql0h8OwsDB5eHho1KhRlolnWrdurb179+qzzz7Tp59+mmlFAgAAAAAyV7rD4enTpxUaGqoGDRooISFBy5cvt6xZaDKZNGfOHC1atCgzawUAAAAAZJKnuuewQIECkqRnnnlG586dk8lkkp2dnRo2bKiQkJBMKRAAcgIvdyc55nG2dRnZQvL9B7pzN8nWZQAAkOukOxw+99xzOnTokKpUqaJnn31WSUlJOnnypPz9/RUfH68HDx5kZp0AkK055nHWlre62rqMbKHJssUS4RAAAKtLdzh86623NHjwYN25c0fDhw9XrVq19MEHH6hp06Zav369KlSokJl1AgAAAAAykV16d2zevLmmTZsmHx8fSdLHH3+sggULasGCBSpSpIhGjRqVaUUCAAAAADLXU91zGBgYaPnvAgUKaNmyZRleEAAAAADA+p4qHKakpOjrr7/WgQMHdP36dY0YMUJHjhzRiy++qHLlymVWjQAAAACATJbuYaW3b99W27ZtNWzYMJ08eVL79u1TYmKitm/frvbt2+vYsWOZWScAAAAAIBOlOxyGhoYqISFBERERWrduncxmsyRp5syZeumllzR16tRMKxIAAAAAkLnSPax09+7d+uijj1S0aFEZjUbL805OTnrnnXdY5xDIRjw8neXs5GTrMrKFB0lJio9jqR4AAJDzpTscGo1GOTv/9QLOKSkplp5EAFmfs5OTuizuZ+sysoUlXWdIIhwCAICcL93DSqtXr645c+YoLi7O8pzBYFBycrKWLVumKlWqZEqBAAAAAIDMl+6ewyFDhqhDhw5q2LChXnnlFRkMBs2YMUMXLlxQfHy8Pvvss8ysEwAAAACQidLdc1iiRAlt3LhR7dq1U1xcnEqUKKEbN26obt26+uqrr1S6dOnMrBMAAAAAkImeap1Db29vJp4BAAAAgBwozXAYERHxVAdr1KjRvyoGAAAAAGAbaYbD4OBgGQwGy+O0ZiQ1GAw6depUxlUGAAAAALCaNMNh0aJFdeXKFZUrV05NmjRR3bp1lTdvXmvVBgAAAACwkjTD4c6dO3Xy5Elt27ZNX375pebOnauaNWvq9ddfJygCAAAAQA7yxNlKX3jhBYWEhCgiIkKfffaZSpcurVmzZqlGjRp67733tGnTJiUmJlqjVgAAAABAJkn3UhbSH0Fx4MCBCg8P1+rVq1WmTBnNnz/fEhQBAAAAANnTU4XDRxUrVkylSpXSM888I6PRqP3792dkXQAAAAAAK3qqdQ5v3rypHTt2KCIiQgcPHpSzs7Nee+01hYWFqXbt2plVIwAAAAAgkz0xHF69elURERGKiIjQ0aNHlTdvXtWtW1czZsxQrVq15OTkZI06AQAAAACZKM1w+Oabb+rkyZPy8vJS/fr11aNHDwUEBMjR0dFa9QEAAAAArCDNcPjjjz/KYDDIy8tLx44d07Fjx/52X4PBoI0bN2Z4gQAAAACAzJdmOHzjjTdkMBisVQsAAAAAwEbSDIcTJkz4Rwf96quvVLduXXl6ev6j1wMAgOzH08NJTs7Oti4jW0h68EBx8Um2LgMAUnmq2UrTw2g0aujQoVq7di3hEACAXMTJ2VlTh/awdRnZwsDQ/0kiHALIWjI8HEqS2WzOjMMCAAAAyGXyeTnLwZEVEtIjJTlJt+88+Mevz5RwCAAAAAAZwcHRSd9sHm3rMrKF1/4zWtI/D4d2GVYJAAAAACDbIhwCAAAAAAiHAAAAAADCIQAAAABAmRQODQZDZhwWAAAAAJBJ0gyHSUn/bP0dlrIAAAAAgOwlzaUsatSooSZNmqhly5aqUKFCug5ob2+v06dPZ0hxAAAAAADrSLPnsHXr1tqzZ486duyoxo0ba/78+bp69aq1agMAAAAAWEma4XDo0KGKjIzUokWLVLFiRS1cuFD169dX165dtXHjRt2/f99adQIAAAAAMtETJ6QxGAwKCAhQaGio9u3bp6lTpypv3rwaMWKEXn31VQ0fPlzfffedNWoFAAAAAGSSNO85/DMnJycFBgYqMDBQ8fHxCg8P1/bt2xUUFKRChQopIiIis+oEAAAAAGSif7yUhYeHh0qXLq3SpUvL29ubexEBAAAAIBt7qp5DSTp+/Li2bt2qbdu2KSYmRi+99JK6deumpk2bZkZ9AAAAAAArSFc4PH36tLZs2aItW7boypUr8vX1VfPmzfXGG2/omWeeyewaAQAAAACZLM1wOHPmTG3ZskW//PKL8uTJo0aNGmns2LGqXr26DAaDtWoEAAAAAGSyNMPhvHnzVLVqVfXo0UONGzeWq6urteoCAAAAAFhRmhPS7Nq1S4sXL5a9vf1jy1WYzWZ17dpV69evz9QCAQAAAACZL81w6OPjo/79+2vw4ME6cOBAqm03btzQtWvXNGzYMIWEhMhkMmVqoQAAAACAzJPmsNI1a9YoMjJSU6ZMUZMmTVJt8/Hx0ddff60NGzZo+PDhql69utq0aZOpxQIAkF6eHi5ycn7qSblzpaQHKYqLv2frMgAANpbmt+batWsVFBT0WDB8VIsWLfTjjz9q9erVhEMAQJbh5Oygj4evtXUZ2cKw8W/augQAQBaQ5rDSX375RVWqVHniQWrVqqXo6OiMqgkAAAAAYGVphsM8efLo999/f+JBzGazHB0dM6woAAAAAIB1pRkOy5cvr127dj3xIDt37lSpUqUyqiYAAAAAgJWlGQ47dOig9evX64svvvjbfdauXasvv/xSrVq1yvDiAAAAAADWkeaENA0aNFC7du304YcfauXKlapdu7aKFCkik8mkq1evau/evTp9+rQCAwPVtm1ba9UMAAAAAMhgT5zje9SoUXr55Ze1cOFC/e9//0u17fnnn1doaKjeeOONzKoPAAAAAGAF6VoA6o033tAbb7yh69evKyYmRvb29ipcuLDy5cuX2fUBAAAAAKzgqVYH9vHxkY+PT2bVAgAAAACwkTQnpAEAAAAA5A6EQwAAAAAA4RAAAAAAQDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAAZINwuGfPHjVr1kyNGzdWcHCwEhIS/nI/s9mswYMHa+HChZbnjEajxo8fr8DAQDVs2FCrVq2yVtkAAAAAkKNZNRzeunVLQ4cO1axZsxQeHq7ixYsrLCzssf3Onz+vt99+W+Hh4ameX716taKjo7V582atXbtWS5cu1fHjx61VPgAAAADkWFYNh1FRUfL391epUqUkSR06dNCmTZtkNptT7bdy5Uq1adNGgYGBqZ7fsWOHWrVqJQcHB3l6eqpp06bauHGjtcoHAAAAgBzLwZo/LCYmRr6+vpbHvr6+SkhIUGJiotzc3CzPjxw5UpK0b9++VK+/evWqChcunOr1Z86ceaoavL3dnrwT0s3Hx93WJeQ6tLn10ebWR5tbH21ufbS59dHm1kebW9+/aXOrhkOTySSDwfDY83Z26evANJvNqV5vNpvT/dqHbt5MkMlk/tvtnMBP5/r1u//6GLT506HNrY82tz7a3Ppoc+ujza2PNrc+2tz60mpzOztDmp1lVh1WWrhwYV27ds3yODY2Vp6ennJ1df1Hr7927VqqnkgAAAAAwD9j1XBYs2ZNHTt2TNHR0ZL+mGCmfv366X59/fr19eWXXyolJUXx8fH6+uuv1aBBg0yqFgAAAAByD6sOK/X29lZoaKiCg4OVnJysEiVKaOLEiTpx4oRGjBihDRs2pPn6Dh066NKlS2rRooWSk5PVrl07Va1a1UrVAwAAAEDOZdVwKEm1a9dW7dq1Uz3n5eX1l8FwwoQJqR47ODho+PDhmVofAAAAAORGVh1WCgAAAADImgiHAAAAAADCIQAAAACAcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDCIQAAAABAhEMAAAAAgAiHAAAAAAARDgEAAAAAIhwCAAAAAEQ4BAAAAACIcAgAAAAAEOEQAAAAACDJwdo/cM+ePZoyZYqSkpJUrlw5ffzxx3Jzc0v3PtWqVZOvr69l36CgIDVv3tyq7wEAAAAAchqr9hzeunVLQ4cO1axZsxQeHq7ixYsrLCws3ftcuHBBXl5e2rBhg+V/BEMAAAAA+PesGg6joqLk7++vUqVKSZI6dOigTZs2yWw2p2ufo0ePys7OTh07dlSzZs00e/ZsGY1Ga74FAAAAAMiRrDqsNCYmJtWQUF9fXyUkJCgxMdEybDStfYxGo2rUqKGQkBClpKSoe/fucnNzU5cuXdJdg7e325N3Qrr5+LjbuoRchza3Ptrc+mhz66PNrY82tz7a3Ppoc+v7N21u1XBoMplkMBgee97Ozi5d+7Rt2zbVc127dtXy5cufKhzevJkgk8n8t9s5gZ/O9et3//UxaPOnQ5tbH21ufbS59dHm1kebWx9tbn20ufWl1eZ2doY0O8usOqy0cOHCunbtmuVxbGysPD095erqmq59vvrqK50+fdqyzWw2y8HB6nPqAAAAAECOY9VwWLNmTR07dkzR0dGSpNWrV6t+/frp3ufnn3/WzJkzZTQadf/+fa1cuVJNmjSx5lsAAAAAgBzJquHQ29tboaGhCg4O1uuvv66zZ89q8ODBOnHihFq0aJHmPpLUp08feXp6qlmzZmrevLkqVKigNm3aWPMtAAAAAECOZPUxmbVr11bt2rVTPfdweYq09pEkFxcXhYaGZnqNAAAAAJDbWLXnEAAAAACQNREOAQAAAACEQwAAAAAA4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIMIhAAAAAECEQwAAAACACIcAAAAAABEOAQAAAAAiHAIAAAAARDgEAAAAAIhwCAAAAAAQ4RAAAAAAIBuEwz179qhZs2Zq3LixgoODlZCQkO59jEajxo8fr8DAQDVs2FCrVq2ydvkAAAAAkCNZNRzeunVLQ4cO1axZsxQeHq7ixYsrLCws3fusXr1a0dHR2rx5s9auXaulS5fq+PHj1nwLAAAAAJAjWTUcRkVFyd/fX6VKlZIkdejQQZs2bZLZbE7XPjt27FCrVq3k4OAgT09PNW3aVBs3brTmWwAAAACAHMnBmj8sJiZGvr6+lse+vr5KSEhQYmKi3NzcnrjP1atXVbhw4VTbzpw581Q12NkZnrhPgXx5n+qYuVl62jM9nDy8M+Q4uUFGtXkBt/wZcpzcIKPa3KUA53l6ZVSbe3q5ZshxcoOManMPL87z9MqoNnd0z5Mhx8kNMuw89/DIkOPkBhnV5s4uXhlynNwgrTZ/0r+HVcOhyWSSwfB4QXZ2dunax2w2p9pmNptTvTY98qUj+M0c+sZTHTM38/Z2y5Dj+PecmCHHyQ0yqs3D2ozKkOPkBhnV5nWnhj15J0jKuDZ/74MmGXKc3CCj2rzb4I8z5Di5QUa1+fOdq2fIcXKDjGrzd999N0OOkxtkVJtXq98/Q46TG/ybNrfqsNLChQvr2rVrlsexsbHy9PSUq6truvb587Zr166l6mUEAAAAAPwzVg2HNWvW1LFjxxQdHS3pjwlm6tevn+596tevry+//FIpKSmKj4/X119/rQYNGljzLQAAAABAjmQwPzobjBVERkZqypQpSk5OVokSJTRx4kRdvnxZI0aM0IYNG/52Hy8vL6WkpGjixInav3+/kpOT1a5dOwUFBVmzfAAAAADIkaweDgEAAAAAWY9Vh5UCAAAAALImwiEAAAAAgHAIAAAAACAcAgAAAABEOAQAAAAAiHAIAAAAABDhMNtjJRLredjWRqPRxpXg37p69aqtS8jSzpw5o8jISF27ds3WpeBPUlJSJPHZj9yF8x2wHsJhNmYymWQwGCRJmzZt0tmzZ21cUc60d+9ejR8/XuPGjdPVq1dlb29v65LwLxw9elSLFi3SqVOndOjQIVuXk+VERkaqV69eWrhwoVq1aqX4+Hhbl4T/LzIyUitXrlRSUhLBHbnChQsXJMlyrYOnQ6i2PpPJZPnv7NqZQDjMxuzs/vjn27Vrl1auXCkfHx8bV5TzfPPNNxo/frx8fHx09uxZLVmyRBIfuNmZt7e3Hjx4oN69e2vv3r22LidL2bt3r2bMmKEJEyZo2bJlKl68uM6dO2fZznlvOyaTSY6Ojjp+/Lg6deqkffv2WZ7H03t4Lv/www/atm2btmzZot9//93GVeFRR44c0RdffKEjR45ox44dunfvHp9BT8FsNltC9dGjRxUVFaXz58/r/v37Nq4sZ3t4bb58+XJt2rTJxtX8M4TDbMxkMunYsWPq3bu3Xn31VeXLl88y5Aj/3t69ezV9+nSNGzdO3bt3V506dVSiRAlJ//dXTC7Mso+H/1YlSpSQm5ubHB0dde/evVThJzeLjIzUtGnTNGzYMFWtWlWxsbEqVKiQ5YtO+r/zngs06zKbzbKzs1OFChUUExOj2NhY3bt3T9IfFyLZ9a/TtmQwGLRr1y6NGTNGly5d0vTp0zV79mxbl4VHVKpUSdeuXVO3bt30zTffyMXFhR7Ep/CwrVauXKmPPvpIa9euVb9+/bRixQrFxsbauLqc59SpU+rZs6eSkpIkST/99JMKFSokKfv1IBIOs5lHL8rs7Oz08ssvKygoSIsXL9bZs2fl4ODAhVsG2LFjh2bOnKlhw4apcuXKunHjhnbv3q3z58/rxIkTlr9gPnrhjKzLaDRaLqJjY2PVqVMnzZkzR5K0dOlSRUdH27ZAGzt37pzGjBmjwMBAVa5cWTExMeratat2796tsLAwde/eXR9++KG2bNmiy5cvc4FmRUajUQaDQSaTSSaTSR9++KFCQkJ0/PhxffLJJ5LEUPd/4OLFi1q0aJGWLFmi4sWLq2DBgurcubN2795tubiDbZhMJst1TNWqVVWmTBk9ePBAJ06csPzbcJ2TPvv379cXX3yh+fPna/r06erXr58OHjyokydP2rq0HMfJyUlGo1EhISFKTk6Wvb295Xav7PYZbTDzG5ZtPDpE4KuvvlJ0dLTq1KmjV155RRMnTtSXX36p1atX69lnn021L55e27Zt9fvvv2vz5s2KjY1Vt27d5ObmJqPRqGvXrsnZ2VlGo1Hvvvuu2rRpQ0jMwkwmk+zs7GQymdS7d2/lz59fFSpUUJs2bXT8+HF9/vnnkqTbt2+rc+fOql69uo0rtr7Lly9r5syZKlKkiMqUKaMVK1aoWbNmevnll3X//n3t27dP3333nR48eKCpU6eqWLFiti45VzAajbK3t5fJZNKgQYPk6+urevXq6cUXX9S6det08OBBvfDCC7p//75at26twoUL27rkLO3R78WLFy/qiy++UMGCBbV582ZNmzZNcXFxmjBhgpYvX873p408POcl6e7du0pMTJSvr69Gjhyp+Ph49ejRQ+XLl9fdu3fl7u5u42qznj9f++3YsUOHDh3SsGHDlJKSIgcHB4WGhurq1auaOXOmDSvNOR5eY5jNZv3yyy+aOnWqkpOTlZCQIHt7eyUnJ6to0aLy8/OTn5+fatSoYeuSn8jB1gUg/R4dIrBmzRqVKVNGI0eOVP/+/TV48GAZDAY1adJE27ZtU6lSpWxbbDZ1/PhxnTp1SsuXL9frr7+uoKAgJSUlqUOHDurYsaMSExNlNBp15MgR/fjjj6pYsSLBMIt7+KH97rvvqnLlymrRooUSEhK0fft2+fv7q3v37tq0aZPy5MmT64LhrVu35OjoqOLFiys4OFiffPKJZs2apYCAAHXq1MmyX+XKlSWJCzIrexgM3333XT3//PNq0KCBfH199euvv6p9+/bKkyePtm3bJm9vb4JhOhgMBn3//fcqWLCg8uXLp++//15JSUmaOnWqihcvrvPnz8tgMCghIUFubm4ERCszmUyWc75fv35yc3PTnTt39J///EfDhg3TiBEj9Mknn+jGjRt666231LBhQ1uXnKU8GgwfnsPe3t4KDw9XYGCgKlasKOmPWysMBgOdCBng0RFk58+fl7Ozs9566y199dVX2r17t5YtW6bbt2/r1KlTOnbsWLY5Z+k5zGYiIyM1f/58ffbZZ4qKitKkSZNUpEgRderUSa+99ppmz56tJk2a6Nlnn7V1qdmOyWTSZ599pkOHDmnmzJlKSEhQx44d9eDBA4WHh0uS5S9vyF4uX76s6dOna9CgQVq1apUuX76sM2fO6Nq1a9q+fbs8PT0t++aWL8zdu3dr8eLFSkxMVPv27dWmTRtdvnxZn376qZycnNSgQQNLWE5OTpajo2OuaZus5Ntvv1V4eLhGjBih1atX69ixYwoPD1ejRo0UFhZmuQiUcs+5+7Qetsv58+c1evRo3b59WytXrtQ333yjBQsWqFGjRnJxcdGaNWs0ZMgQ1a1b19Yl51pms1l9+/ZVtWrVVKlSJb333nsaOnSoGjVqpOTkZH3++edKTExU9+7dbV1qlvLo7/7nn3+uPXv2qG7dumrSpImWL1+uvXv3qkmTJrKzs9OaNWs0adIklS1b1sZV5xwrV67U6tWr9fzzz6tZs2YqUqSIQkND5ezsrBkzZsje3l5JSUlycnKydanpQpdHNvTqq6/q9OnT+u677zRt2jQ5Oztr9OjRWrJkifr06UMw/Ifs7OxUq1YtHT16VDt27JCbm5tWr16tBw8eKDg4WJK4pzOb+PPN3/ny5dPFixfVuXNn3bhxQ507d9bmzZsVEBBgmdjjodxwcR0VFWW5/6Rdu3ZatmyZ4uPjVbx4cfXr109JSUnaunWrZTZXR0dHSbmjbWztz+euvb29IiMjFRgYqJMnT+r111/X1q1bZTabde/ePYJhOhgMBu3YsUODBg1SxYoVlS9fPnXp0kV16tRR//79lZCQoCtXrmj06NGqW7cun/FWdvz4cct/nzlzRkWKFFFgYKCmTp2qrl27qnz58goODpbZbFbHjh0twZAJ4f7Pw9/95cuX6+uvv1a7du303HPP6d69eypbtqy6deumqKgonTp1SpMnTyYYZqDdu3dr9erVmj9/vgYPHqyaNWvK0dFRPXr0kMFg0Pvvvy9J2apjIftUmgv9+cveaDTq2WeflZubm2WGxeeee06VKlWSwWDQ66+/bqtSc4SUlBSVLFlSb7/9to4dO6batWvL1dVVW7Zs0RtvvKGgoCAtXLiQC7As7tH7tKZMmSIfHx95eXlp3bp1evDggRITE+Xu7q6hQ4fKxcVFvr6+ti7Zqvbu3auJEydq9OjRqlSpknx8fDRnzhwNGjRITk5O6tChgwYOHKgxY8Zo3759qly5slxcXGxddq7w8Nw1m83aunWrnJycVLFiRS1atEgmk0nFixeXk5OTRowYIXd391T/LnwupZaYmKi8efNK+mP49NKlSzVmzBi98MILevDggaZPn6533nlH8+bNU926dS294xJtaU0RERFat26dmjVrpqZNm8rV1VUXL15Ujx491LJlS3Xu3Flnz57VjRs3Hut54ZaO1OLi4rR//37NmDFDFy5cUEREhL799luZzWaFhoZq7ty5kji/M9pvv/2m6tWrq2jRokpOTpbRaNSGDRtkb2+vQYMGWUJhdjpfs0+lucyjwXDlypUaOXKk3nnnHZ07d06VKlXStm3bVKhQIYWHh2vz5s3q37+/ZcpcpF9sbKxlSueHN8GXKlVKe/futawF5OrqqvXr1+v69euKiYmxWa1In4fBMCgoSI6OjkpKStKQIUN06tQpOTg4qFu3burevbuMRqMmTJggKffMfHfz5k1NmDBB1atXV+XKlXX9+nUNGDBAbdq00X//+189++yzWrp0qTw8PDRgwAC98847BEMrMZvNlnO3R48e+vrrr7Vp0yY1bNhQly5dUunSpdW8eXN16dJFKSkpGj16tOV1SC0hIUHNmjXTunXrJP0xi+C9e/d08+ZNSX/8Bf/1119XfHy8goODFRsbawmGsK7KlSurXLlyioqK0rZt21SiRAl5e3srISFBr7/+uu7evat58+bJz8/P0kuOP/z5d9/T01POzs5q1KiRxo0bp2eeeUbjxo1TQECAfv/9dxkMBoLhv/Romz8c5VGsWDEdOHBAR48elaOjo+zt7XXnzh3ly5dPxYsXz5b3g3PPYRa3dOlS7dy5U2PGjNGAAQNUsmRJTZ8+XRs2bNDChQvl6Oio8ePHy8/Pz9alZjtXrlxRSEiIJKl9+/aqUaOGChYsKEkaNGiQihcvrj59+ig5OVlOTk4M28riHs4YJkkLFy5UUlKSevXqpc6dO6t169YqV66cfv31VwUEBCg5OVn58uV77HW5weeff65t27apevXq2rZtm9q2bav27dtLkk6fPq0JEyZoxowZqe7DhPV8/PHHsrOz05AhQyRJX375pcaNG6edO3cqOjpaLi4uKl++vKTcd+4+jY0bN2r8+PEaM2aMGjdurLCwMNnb26tp06YqW7asZYH133//XbVq1VKbNm1sXXKudfPmTS1btkyXL19WixYtVLt2bfXu3VtxcXEyGAwqXbq0PvroI0kMn37oz7PXX716VdWrV9crr7yiAwcO6MUXX5S7u7v279+vsLAwzZgxQ8WLF7dx1dnbo22+fv16nTp1SrVq1VLFihU1e/ZsxcbGKiAgQK6urlq4cKGmTJmiZ555xsZV/zMMK83C7ty5o1OnTmnx4sVasWKFihYtqnHjxmnQoEEaNGiQ5STkr2lP7+zZszIajfLz89Orr76qsLAwffPNN3J3d9eQIUMUEBCg6OhoGQyGbHMDcW726HC85ORkFSlSRPv371fnzp1Vp04dvfHGG5o8ebJcXFxSzRaWW9aqvH37th48eCAvLy+1bdtWzs7OWrBggcqWLWsJhpJ04cIFJSUl0RtlQ3fv3rXMDvvgwQO1bt1a27dv15kzZxQQEGDZL7ecu0/r4WdBlSpV9Nxzz+n999+Xg4OD6tSpoy+//FKjRo3Syy+/rB07dmj27Nnavn076xpa2Y4dO+Tl5SU/Pz8lJyfL29tbPXv21CeffKKdO3fKYDBo7ty5unHjhhITE1WyZElJ/DHkUQ9DyuLFi7Vr1y7VqVNHTk5OMplMqlSpktatW6fPPvtMZrNZU6ZMIRhmgIdt/tlnn+nzzz9X/fr19e677+rTTz9Vx44dLb3fBQoUUGhoaLYNhhLhMEv581/EXFxclJiYqC5dusjFxUXz58+XnZ2dfvvtN6WkpOS6e6UySmRkpCZNmqQqVaooOjpao0ePlp+fn2JjYzV16lSNHDlSycnJ2rVrl15++WXVq1dPEuP0s6pHpz/v0aOHGjRoIG9vbx05ckT169dXUFCQJOmnn35S7dq1U702N/yb7tmzRwsXLrRchI0cOVItWrSQk5OTVqxYoc8//1xt27bVli1btGjRIo0fP15eXl62LjtXeHRNt4cXvsWKFVN0dLRiYmIsn/EJCQl68OBBqtfmhnP3n7C3t9eePXs0depUBQcH69ixYxo2bJgmT56s/v376+zZs4qJiVGNGjVkNBq1Y8cOTZs2zdZl5xpRUVHq06ePJOm1117T+fPn9fzzz6to0aJydnbWlStX9Omnn+r3339XYGCgChQoIIk/hvyVixcvavfu3Vq+fLmOHz+uffv2acKECfL09NTQoUNVvnx5FSlSRD4+PrYuNcf47rvvtGnTJi1atEjnz5/X3r17FRwcrEmTJqlDhw5q3769UlJSsv0wdcJhFvFoMLx06ZLMZrNKliwpf39/RUREqHv37rKzs9PGjRuVkJCQrWY9ykr27t2rqVOnasyYMapUqZLu37+vlJQUJSUlqXLlyvrss8/03Xff6eeff9aFCxdUpkwZW5eMJ3h4wTB9+nS5uLioXbt2Sk5O1p49e/Trr7/qvffeU3JysgoUKKAuXbrYtlgri4yM1IQJEzRy5Ei99NJLio2NVaFChXT48GE1aNBA9vb2WrFihQ4dOqRz584pLCxMzz33nK3LzhX+PHFSfHy8ypcvL29vb+3Zs0cLFixQqVKldPjwYRUrVkx16tSxdclZVmxsrM6ePatatWpJ+uNzvmvXrmrQoIEaNGig8uXLa8CAARozZoyaNm2qU6dOaf369fr+++81ceJEZvi2oooVK2rMmDFasWKFqlatqsGDB+vnn3/Wnj17LH/8vnjxoqpVq5bqdfwx5PEOBCcnJ128eFHdunVTQkKCAgIC1Lp1ax08eFDu7u4qWrSoDavNGU6fPq1ff/1VDRo0sExo98ILLyghIcHyOT1v3jz169dPo0aN0ptvvpntg6FEOMwS/nyv1IYNG3T9+nX16dNHLVq0UExMjKZMmaLly5frt99+07Rp0yx/TcPTiYyM1MCBA1WpUiXdvHlTmzZt0o4dO3Ty5EnVrVtXo0ePVuXKlS2Lpbu6utq6ZPyNR78of/zxR509e1ZXrlzR6dOn5efnp2HDhungwYO6du2anJ2d9cYbb0jKPUOTLly4oBkzZmjs2LGqUqWKJMnNzU1Tp07Vrl279Nprr6lfv366d++eVq1aRTC0sofBsFevXipatKgqVaqkDRs2qHLlyqpfv75u376tCxcuqHz58urZs6ek3HPuPo2UlBR98803eumllxQfHy8PDw/Fx8fru+++U8uWLWU2m9WkSROtXbtWoaGhqlGjhp555hl16dJFQUFBTORmZa6urnr99ddlNpu1dOlSPffccwoMDFRgYKAkKSkpSQkJCcqfP7+NK81aHv2+O3z4sLy8vFSyZElNnTpVR48eVWBgoEqUKKGdO3fq3LlzSklJsXHFOUNSUpIGDhyoGjVq6JVXXlGbNm1kb2+vs2fPyt3dXR4eHipcuLDq1q2rV1991TISJLsjHGYBD7/sT5w4oRMnTmj+/PmWqZzt7e01fPhwnTt3TnFxcSpZsiRfZv+Q0WhUdHS08ubNq/z58+ujjz5SkSJFVLlyZY0dO1bdunXT7t271aJFC0lilsYs7NHheElJSSpbtqzef/99LVmyRJ9//rnatWuncuXKPbaYdW66uL59+7ZKly6tKlWqWN736NGjdfXqVQUHB2vJkiXatWuXWrRoofr163Pvsg1s2bJF+fLl08iRIyVJL7/8sgYPHqyWLVs+tsh3bjp30yslJUUODg5q06aNbt26pQ8//FAtWrRQr169FBwcrE8++UTdu3fX999/Lx8fH/Xt21f58uWT2WxWkSJFbF1+ruXu7q6mTZsqJSVFYWFhSkpKUqNGjST90UP4MBhyzv+fh8Fw0aJFWr16tVxcXFS3bl0FBQWpSpUq+vjjj3X37l0dO3ZMM2fOJFz/S6dPn1ZcXJy8vb3Vp08fTZ8+XS+++KK8vb1Vo0YNBQUFqXjx4oqKitKaNWs0f/58FStWzNZlZxjCoQ2dPn1a8fHxqlq1qnbu3KlBgwZpyJAhKlKkiIoUKaIlS5YoKChIN27csIzRxz9nb2+vrl27avDgwdq2bZuqVaum//73vypVqpScnJzUsmXLVDM0Mowla3p4QWgymdS3b185ODjoxIkTGjFihF599VUdPnxYq1evVrt27R6bxTc3XGgcP35c+fPnV2xsrO7evSvp/87lcuXKWZZACA8Pt1xAPFwPDpnrhx9+kMlkUsWKFSX9EeDv3Lkj6Y8L4WeeeUYtW7bUxYsXU/UUcL/V486fP68ZM2Yob968qlatmgIDA1WyZElt3bpVNWvW1PDhwzV8+HAdOnRI0dHRGj58uCpUqCCJz/aswM3NTS1atJDBYNCsWbOUlJSk//znP6mG5HHOp/bll19q7969ioiI0EcffaStW7fKxcVF//nPf1S7dm1duXJFPXv2tEzgg38mMjJSYWFheumllxQTE2NZGmT48OHKly+fOnXqpF69emnKlCk6f/68wsLCctyEPyxlYSPJyclatmyZWrZsKXt7e3l6eqpTp06Ki4vTxo0bLR+KBw4c0IABA7RlyxZ5eXnxpZYBbt26JYPBYFnKQJLWrVunxYsXa+7cuTnulzwnMpvNCgoKUtmyZTVgwACtWbNGW7duVbdu3VS4cGH973//U506ddSyZUtbl2o1ZrNZZrNZLVq00MCBA1W0aFG1adNGn376qapWrZpq3zVr1uiLL77Q3LlzLcu3IHMNHjxYN27c0Pfff6+3335b/fv315UrVzRo0CAFBgaqc+fOkqRevXrp5ZdftgwlxeMuXLiggQMHqkGDBkpISNDJkye1bNkyXb16VevXr9cvv/yipk2bKiAgQDdu3FBycrJKlizJMghZUEJCglavXq24uDjL0lL4axMnTtTLL7+sZ555Rps3b1axYsU0f/581axZU//9739Vrlw5W5eY7e3du1dhYWEaOXKkKlWqJKPRKLPZLAcHB0VERKhfv36aNm2afH195eXlpfz588vDw8PWZWc4wqENmUwm/fzzz5o+fbq6dOmiatWqqW3btnJ0dNTy5cstAfH+/fvKkyePjavNWe7evasvv/xSKSkpcnJy0meffaaZM2eqbNmyti4Nf2PJkiWqXr26/Pz8dPnyZU2ePFkzZ860bP/000+1atUq7dixQxcuXMh19889HGo7cOBANW7cWI0bN9asWbN06NAh9e3b1xIQN2/erE8++USTJ0/mYsJKRo8erVu3bmnmzJk6cuSI5s6dqw8++EBOTk46ffq0Vq5cqTx58sje3l4+Pj4aP368rUvOsi5cuKDBgwerXbt2evPNN3X48GFt27ZNw4cPl52dna5cuaJNmzbphx9+UNOmTdWsWTNbl5wr/TmIpzeYE+BTe9geZrNZc+fOVbVq1fTDDz+oUKFCatasmd577z25u7tr4MCB/KEvA4wbN061atVS7dq1LfNSRERE6OTJk+rSpYuKFCmimTNnysnJSStXrsyxw9MZVmojD8fS+/j4yNfXV+vWrZO9vb0+//xzdejQQS1atNCGDRtkZ2cnZ2dnW5eb4zg4OMjT01ObN29WuXLlNGvWLGYmzcJGjhypuLg4y2yjJpNJR44c0b59+/Tqq69Kklq1aqXjx4/LaDRagmFuutB4eA9moUKFdOrUKTVu3Ngy8UOPHj1UoUIFeXt768qVK5o6dWquC8+2MmzYMMXFxWnOnDmS/pjK/9SpU/rggw9UqlQpBQQEaPr06Tpw4IA8PDwsy61wv9Xjzp07p4EDB6pnz55q0qSJTCaTli9frsuXL2v//v0qWLCgSpUqpTfffFPJycl8ptvIXy3R8lefww9vEYiLi9OOHTvUunXrXPN5nZZvv/1Wly5dUrt27WQwGCxt2L17dyUnJ2vmzJmaNGmSwsPDdefOHQ0dOpRgmAH+bl6KqlWrauzYsQoKCtLEiRMt1+s5eWJIwqEVPfoLb2dnp5SUFOXPn1/BwcGaO3euVq9eLTs7O61atUpdu3bV1atXVbRoUT4sM4GLi4tatmyZq4YdZlejR4/WnTt3LL2EN27cUMmSJdWxY0eFh4crOTlZderU0ZgxY+Tp6ZnqnpXc8LuzZ88eHTx4UM7OzqpQoYJu3bqlwoULS5JKly6t4OBgdezYUWfOnFHx4sWVN29eeXt727jq3OHq1auKiIhQt27dJEkrVqzQ/v379fnnn8vR0VFLlizRkSNH1LFjx1Q9XATDv3bnzh2dPXtWTZo0kSQFBQXJzs5OXl5e+vTTT3XixAm5ubmpVq1aCgkJYVIOG3h0iZYPPvhAycnJKlu27GPzJhiNRjk4OOju3bt677339N5779mo4qzn7t27GjVqlOzs7NSmTRvZ2dnJZDLJwcFBCQkJ+vXXXzV16lR9++23WrhwYY6aCMWWnjQvRatWrZSYmJgrJoUkHFrRn3/hHRwclJKSonz58qlXr15atGiRlixZIrPZrMWLF9u6XMDmQkJC5OTkZAmGCxYssHwh1qpVS1FRURoxYoT8/f3l4eGhcePGScpdPYZ37tzRgwcPdPHiRV24cEGnT5/Whg0bdObMGf366696/vnn5enpqQoVKqhEiRK2LjfXMJvNKly4sBYsWKDBgwfru+++0927dzV9+nRLeG/VqpWmTJmixMTEVJMCEQz/WuXKlTVv3jxVq1ZNZcqUUdWqVRUcHGzZfvLkScXGxsrR0ZFgaCP29vYym83q3r27nnnmGXXq1OmxCa+Sk5Pl6Oio+Ph49e3bV/3791flypVtVHHW06hRI82ePVuDBw+W2WxW27ZtJclyvdi2bVvly5dPISEhuSKoWNOrr76qjRs3/uW8FNu3b7csiZXjmWFV27dvN1esWNG8Zs0as9lsNhuNRnNSUpLZbDabP/30U3Pfvn3N169ft2WJQJZw6dIl8/PPP2+eNWuW2Ww2m5cvX27u0KGD+dKlS6n2i4mJMcfExFgeG41Gq9aZ1ezbt8/8xhtvmPfs2WNevny5ec6cOeaePXuaL168aOvScp2H5+Lx48fNjRo1MoeGhqba3rdvX/Po0aNtUVq2tn//fnO5cuUs35UPv0MfZTKZrF1Wrnbw4EHzvXv3zGaz2Xzy5Elzr169Um3fuHGj+cMPP7Q8jo+PN7/11lvmw4cPW7XO7CQiIsJcsWJF86pVqyzPLV261FyuXDnzmTNnbFhZzhcfH29evHix+dNPPzUvXbrU3Lhx41zV5vQcWlmDBg00YcIEDRkyRCaTSe3bt5ednZ2WLVumOXPmaNWqVTl6HDOQXsWLF9fy5cvVt29fHTx4UHZ2dpo2bZoKFSpkuVdFUqq/nJpz6ZT/5v/fU5qSkiIvLy/Z2dmpWrVqlvvXYBsPh4P5+/tr0qRJCgkJkbe3t7p06aIhQ4Yof/78GjVqlKTc1dv9bwUEBGjevHlq1qyZVqxYodKlSz82FJe2tJ4DBw4oOjpaVatWVWJiogwGg44ePaqbN29ahrA/++yzOnz4sCQpPj5evXv3psfwCRo2bChJGjJkiAoUKKDk5GTNnj1b69atY/K8TJbb56VgtlIb2b59u4YMGaKJEycqOTlZo0aN0pIlS/T888/bujQgS/nhhx/Uv39/1a9fXx9++KEk7slKS0pKitq2bauwsDA9++yzevgRz8Wy7Tw8X3/44QcNGjRISUlJeu211zRmzJhU2/F0IiMj1adPH23cuFHPPPOMrcvJlX777TfLjI2LFy+WyWRSUFCQRo4cqXPnzmnatGkqWLCgBgwYoMKFC2vw4MHavXu33NzcVKVKFRtXnz1s375dffv2lfTHWocvvPCCjStCTkc4tCF+4YH0OXr0qHr37q127dqpf//+kuhp+Stms1lGo1GNGzfW+PHjVb16dVuXhP/v0YC4fft2ffDBB6mexz+za9cuOTs7W2YthvUcOnRI33zzjRo3bqy4uDgdOnRI0dHRqlGjhipVqqTPPvtMkZGRKlOmjHx8fCz3hOPp7d+/X76+vnr22WdtXQpyAcKhjfELD6TP0aNH1adPHzVt2lTDhg2zdTlZVlJSkoYOHar+/furePHiti4nVzh8+LBKliypggULphn2kpKS5OTkxB82MgFtan1JSUkaOHCg9u3bp//+978KCQnRypUrdfjwYdWoUUNt27bV5cuXZTabLZNh8ccQIOvjnkMbq1Gjhq1LALKFChUqaOrUqdq2bZutS8nSnJycFBoaKicnJ1uXkitcu3ZNGzZsUNGiRRUfH6927dqpVKlSj+1nNBrl5OSk+Ph4zZs3Tz169JCXl5fV682pCIbW8zDgOTk5qXLlyrp8+bLu3LmjX375RZ06dZLBYNDevXuVmJiodu3aydXVVVLuvSccyG74LQWQLaSkpKhatWqWCTxMJpONK8q6CIbWU7BgQQUGBurTTz/VwYMH/zLwPVz77eGabnXr1iUYIlsyGo2ys7OT2WxWdHS06tatq88//1xxcXGaNWuWrly5oo4dO6pEiRJydXW1BEOJAA9kFwwrBWAzDy+a/+zPQ8Qe7hcXF6c1a9aoe/fu1iwTeMyj5+7ly5e1bt06HTlyRLVq1VJgYOBjQ3ofrunWt29fZmhEtvSwx9BkMqlv375KSUlRYGCgWrZsqdu3b+ujjz6Sg4OD7t27p/bt26tWrVqSGPILZDeEQwA28eiFxtixY1WyZElVrVrVMmPvwwuKR3td+vTpo549eyogIMDG1SM3e3hOmkwmbdiwQeXLl5efn5++//57TZkyRfXq1VOTJk0UGxurV155RfHx8QoODlafPn0Ihsj2evfurVdffVUNGjTQ1atXFR0dLQ8PD9WsWVMrV65UQkKCZbI9giGQ/XDPIQCrexgMzWaz3nvvPTk5OencuXM6d+6cWrRooSpVqshgMCg5OVmOjo70uiDLeLjGpslkUufOnWUwGHTr1i116tRJnTp1Uv/+/TVz5kytX79egYGBev755zVgwAD17t2bcxfZ0qMB77ffflNcXJyqVq2qhQsX6tatW4qNjVVycrJKly6tt99+23JfIcEQyJ7oOQRgVY8Oxzt9+rS2bt2qAQMG6MqVK5o5c6by5Mmj//znP5Y1sB72GBIMkZUEBwfrxRdfVPfu3dWqVSvlyZNHzZs3V/v27RUbG6vz58+rRo0a+vXXX3X//n0999xzti4ZeGp/NfR/zJgx2rp1q5o2baq3335b7u7uGj58uPr27Ss/Pz8bVQogoxAOAVjNo8Px3n77bRmNRl24cEGrV69WqVKl9Msvv2j27NlKTk5WSEiIvLy81L17d4WEhBAMYVMbN27U3bt3de/ePbVr104ff/yxunXrpqNHjyo5OVmJiYlasGCBmjZtql69eqlAgQK2Lhn4Vx79vH7//ffl6Oioxo0bq169ejKZTLp69ars7e01a9Ys2dvba8yYMbYuGUAGYLZSAFZjb28vs9ms1atX65VXXtGoUaNUr149TZw4UZcuXVLJkiXVs2dPVatWTcWLF1d0dLTef/99giFsavjw4dq8ebNOnTolOzs7Xbx4UcWLF5fRaNRPP/2kV199VR06dFCxYsVUpkwZgiGyPbPZbAmGvXv3VrFixWRnZ6fp06dr69atiouL08qVK9W/f/9UwZD+BiD7o+cQgFU8vM+wb9++On78uBYsWKAyZcro9OnT+uKLL3T58mUNGTJEzz77rK1LBSzGjh2rW7duadq0aY9ti4qK0rp16zR58mQNGzZMHh4eGj58uCTut0L2df78eZUuXVpms1kzZ87U7du3NXr0aM2YMUM//fSTUlJS1Lp1a1WvXl158+aVs7OzJBa4B3IKfosBZCqj0ShJlouGQYMGyWw2a9GiRZIkPz8/tW3bVh4eHtqzZ4+tygQec/36dd26dUsTJ06U9MdkNA8dOnRIY8eOVWRkpN59913du3ePYIhsLzIyUp07d9aBAwdkMBjk6empl156Sdu3b5ebm5umT5+u5ORk/e9//9Phw4ctwZAF7oGcg9lKAWSah/esmM1mbdiwQY6OjvLz89NXX32lJk2aaOzYsfrwww9Vrlw5vf/++/L19bV1yYBFUlKSbty4YZmh9NGJOTw8POTn56fOnTvL1dXVsgQLvSfIri5duqQKFSqoa9eu+vjjj/XRRx+padOmypMnj+bNm6cXX3xRLi4u8vb2Vt26ddW4cWPLa/ljCJBz8A0GIFM8OplB165dtXfvXm3atEmjRo3Szp07tWXLFm3evFlDhgyRJEswZKQ7sgonJydFR0drz549srOzk8FgUFJSkiTJ3d1d9+/fV/ny5VOtzUkwRHY0aNAgLViwQB4eHmrTpo2aNm2qkSNH6vz583J3d9eOHTtkMpkUHBwsd3d3de3aVRKf10BOxLcYgExhb28vo9GoCRMm6Nlnn9WUKVM0efJk9e3bV19++aXi4+O1atUqOTo6pnodf4FGVuHj46O+fftq2bJl2rVrl6Q/AqMkTZ48WYULF1bevHkt+3PuIjsaPXq0kpKSLJPKuLq66t1331WzZs00fvx4nTt3Tu+//74iIiJUoECBVJPPcM4DOQ/DSgFkqMWLF+vKlSsaMWKE7O3tZW9vr7Jly0qSnJ2dVb58eeXNm1fnz59X/fr1NXbsWElcaCBratKkie7cuaPhw4frjTfekLe3t3744Qd5eXlp9OjRkjh3kX2NHTtWN2/e1KxZsyRJS5cu1dWrVzVkyBC1bdtWkjRgwACNGTNGM2fOtLyO4dNAzsVvNoAMc//+fcsSFA8vJAwGg7755htJf/S6eHh4yGg0WiaqeTgsiYtrZEVubm569913NWvWLCUnJyslJUUBAQEaN26cpD8ukjl3kR3169dPP//8syUYLl++XFu3blXnzp0lSV5eXmrfvr0aNmyo3bt3W17H8GkgZ2MpCwAZ4uGkHYmJiZozZ452796t//73v2rbtq1at26tYsWKqVq1avruu+/k6OioqVOn2rpk4F+h9wTZ2Z49ezR06FBFRUVp/fr1Wrt2raZOnaoiRYpY9tm7d6/8/Pzk4+Njw0oBWBPhEECGMRqN6tq1q8qWLav4+Hj99ttvatCggTp16qR58+bJZDLJxcVFPXr0kMTFNbIXho8ip9m9e7d69+6tMmXKaMWKFfLw8LBs69Wrl0qUKKGhQ4dK4vwHcgvuOQSQYT7//HMVKFBAI0aM0L179/Tzzz9r0qRJcnR0VHBwcKp9CYbIbrgwRk5Tt25dLVq0SH379k21jmdISIgKFixoCYYS5z+QW3BlBuAfM5lMqR47ODjo2rVrSkhIkIuLi/z8/FSkSBF98sknCg8PT7UvwRAAbC8gIECTJ09W8+bNdfnyZQ0bNkx58+bVRx99JOnxz3kAORtXZwD+EaPRKDs7O5nNZp04cUL37t3Tyy+/rIIFCyoiIkIJCQlycnKSwWDQgAEDUi2YDADIOurWratx48apYcOGMhgMluUqGOEB5D7ccwjgqT28YDCZTHrrrbeUmJioBw8eaMqUKdq7d69OnTqlX375RZ6envLy8tK0adMkcc8KAGRl58+fV+nSpSXxeQ3kVoRDAP/YkiVLdOvWLQ0cOFBDhgzR1atXNXjwYLm4uOjSpUsyGo2qV6+eJC40ACC7oMcQyL0IhwCeysOQ169fP929e1fvv/++nn/+eUnSiBEjdO7cOQ0bNkwvvfSS5TVcaAAAAGR9XK0BSJeHi9Y/7P1r2rSpLl68qKioKD148ECSNG7cOBUqVCjVgskSk88AAABkByxlAeCJjEaj7O3tZTKZtHjxYpUpU0Z16tSRq6urRo4cKS8vL7Vo0ULOzs6aMWOGrcsFAADAP8CwUgBpenTymbfffltOTk5KTExUxYoV1a9fPx06dEijRo3SW2+9pU6dOsnR0VES9xgCAABkN4z1ApAmOzs7GY1GDR06VLVq1dLChQvl5OSkM2fOaO7cuQoICNDIkSP122+/WYKhxILJAAAA2Q3DSgH8pZiYGJlMJhUpUsTSC1ixYkV99dVXatCggdzd3TVlyhT99NNPmjRpkurUqSOJHkMAAIDsinAI4DFDhw5VTEyMbt++rXfeeUfNmzdXpUqVVKBAAW3ZskWdOnVS6dKltX79ejVq1Ej58uWzvJZgCAAAkD0xrBRAKqNHj9bdu3c1evRoPf/887p8+bIkqU2bNoqPj9fZs2fl6uqqIUOGqFSpUmrTpo2kP3oMAQAAkH3RcwjAYuzYsbp586Zmz54tSSpWrJjc3d0t2728vJSQkKAPP/xQ7u7umjBhgiSGkgIAAOQEzFYKQJLUr18/3b59W8uWLZMkLV68WNOnT5e/v7/8/Pz00ksvyd/fXw8ePJCrq6tKlCghiQXuAQAAcgqu6ABIklq2bKmff/5ZRqNRa9eu1caNGxUaGqrXXntNd+7c0cKFC/X666/r22+/tQRDs9lMMAQAAMgh6DkEYLF792717t1bZcqU0WeffSY3NzfLtt9//123bt1SsWLFbFghAAAAMgt/8gdgUbduXS1atEhXrlxRSkqKJFn+P0+ePJZgaDKZbFYjAAAAMgfhEEAqAQEBCgsLU5MmTRQdHS0Hhz/mrXp0+ChDSQEAAHIehpUC+Et79uxRz549FRUVpQIFCti6HAAAAGQywiGAv3Xq1CmVL1/e1mUAAADACgiHAJ6I5SoAAAByPsIhAAAAAIAJaQAAAAAAhEMAAAAAgCQHWxcAAEBG6ty5sw4dOpTqOXt7e3l4eKhChQp6//33Vbp0aRtVBwBA1sU9hwCAHKVz585KSUnR4MGDLc8lJSXp9OnTmjNnjlxcXBQeHi5nZ2cbVgkAQNZDzyEAIMfx8PDQK6+8kuq5qlWrKk+ePPrwww914MAB1a5d2zbFAQCQRXHPIQAg13Bzc0v1+JdfflHv3r1VoUIFVa5cWR988IFu3bqVap+tW7fqP//5j1566SW9+eab2rFjh8qVK6eDBw9KkoYMGaLevXsrJCREFStW1IABAyRJv//+u8aOHasaNWropZdeUufOnfXTTz+lOvaCBQvUsGFD+fv7q0GDBpozZ45MJlO6t//666/q16+fatSooQoVKqhXr16Kjo62bJ81a5ZatWqljz/+WJUrV1b79u0lSZGRkWrVqpVefvllBQQEaOjQobpz586/bl8AQPZGzyEAIMcxm81KSUmxPH7w4IF+/PFHTZs2TUWKFFHlypV148YNdezYUT4+Ppo0aZKSkpI0ffp0BQUFac2aNXJyctI333yjAQMGqGXLlho8eLAOHz6skJCQx35eZGSk6tatqzlz5shgMMhsNqtXr146c+aMBg4cKB8fH61YsUKdO3fW+vXrVaJECW3ZskUzZszQkCFDVKZMGR09elTTpk2Tt7e32rdv/8TtMTExatOmjQoVKqRRo0bJbDZrzpw56tixo9avX69ChQpJks6cOSNnZ2fNmjVLDx480JUrV9SnTx+1a9dOgwcP1tWrVzVhwgQ9ePBAU6dOtdq/EQAg6yEcAgBynMjISL3wwgupnsuTJ4+llyxv3ryaP3++Hjx4oEWLFil//vySpJdeekmNGzfWli1b9MYbb2ju3LmqUqWKQkNDJUm1atVSYmKiVqxYkerYKSkpGjNmjOU4e/fu1YEDB7R48WLVqFHD8tqmTZtq3rx5Cg0N1eHDh1W0aFF17NhRBoNBVatWlYODgwoWLChJT9y+ZMkS3b9/P1X9VatWVYMGDbR48WINGTLEUtuwYcPk7+8v6Y+e0KSkJHXv3t1yrLx58+rKlSsZ+48AAMh2GFYKAMhxKlWqpLVr12rt2rUKDQ2Vl5eX6tatq5kzZ6pkyZKSpIMHD+qVV16Rh4eHUlJSlJKSosKFC6t06dL69ttv9eDBAx07dkz169dPdezAwMDHfl7+/PktAe3hsV1cXFSlShXLsSWpZs2aOnDggCSpQoUKunjxolq3bq1PPvlEZ8+eVVBQkOrVq5eu7YcPH1a1atVS/dz8+fMrICDgsdlaH52d9cUXX5STk5PatGmjiRMn6uDBg6pXr566dOnyT5sbAJBD0HMIAMhx3N3dLT1l/v7+Kly4sLp27SonJydNmjRJknTnzh0dO3bssR5GSfLx8VFcXJxMJlOq8CVJ3t7ej+3/5+fu3Lmje/fu6cUXX3xsX0dHR0lS8+bNZTQatXLlSk2dOlVTpkyRn5+fpk6dqtKlSz9xe3x8vMqXL/+XtZw7d87y2NXVVa6urpbHxYsX15IlS/TJJ59oxYoVWrRokXx8fDRq1Cg1bNjwb9sUAJDzEQ4BADleQECA3nzzTX3xxRcKDAxUvXr15Obmptdee03BwcGP7Z83b155e3vL0dHxsQlq/vz4r7i7u8vb21v/+9//0tyvZcuWatmypW7evKldu3Zpzpw56tOnj7Zu3frE7Z6enrpx48Zjx7xx44a8vLzS/LmVKlXS//73P927d0/ffvutFixYoH79+mn37t2WexUBALkPw0oBALnCwIED5e7urgkTJigpKUmVKlXShQsXVK5cOfn7+8vf319ly5bV7NmzdeTIEdnb2+uVV17Rrl27Uh1n586dT/xZlSpV0q1bt+Tq6mo5tr+/vzZt2qSNGzdKkoYPH24Jpt7e3mrTpo3efPNNXb16NV3bK1WqpIMHD6YKq7du3dK3336rihUr/m1tX3zxherXr6/k5GS5uLioXr166t+/v4xGo2JjY5+iRQEAOQ3hEACQK+TPn189evTQL7/8ouXLl6tr1666e/euunXrph07digyMlLdu3fXgQMHLMNB33vvPR06dEgjRoxQVFSUZs+ebZmMxs7u779C69atK39/f3Xv3l3r16/XgQMHNGbMGC1dutRy/1+VKlUUHh6uqVOn6sCBA/rqq6+0atUqy9DOJ23v0qWLHB0d9c477ygiIkLh4eF655135OTkpLfffvtva6tcubKuX7+ufv36KSoqSrt371ZYWJiKFSv2l8NUAQC5h8FsNpttXQQAABmlc+fOcnV1/cshnUlJSQoMDFR8fLwiIiJ069YtTZ48WYcOHZLBYNALL7ygAQMGpOp527hxo+bMmaMrV67o+eefV5MmTRQaGqp169bphRde0JAhQ/Tjjz9q8+bNqX5WfHy8wsLCtGPHDiUkJKhkyZLq2rWrWrVqZdlnxYoVWrlypa5cuSJ3d3c1btxYISEhyps3b7q2//zzz5o8ebIOHz4se3t7Va1aVR988IGeeeYZSX+sc7ho0SIdPXo0VW379+/XzJkzdfbsWUlStWrVNHToUJUoUSID/gUAANkV4RAAgL+xY8cOlShRQmXLlrU8t2bNGo0ePVoHDx6Uh4eHDasDACBjMSENAAB/Y/fu3YqKilJISIgKFy6s8+fPa9q0aWrevDnBEACQ49BzCADA30hMTNSUKVO0c+dO3bx5UwULFlSzZs303nvvycnJydblAQCQoQiHAAAAAABmKwUAAAAAEA4BAAAAACIcAgAAAABEOAQAAAAAiHAIAAAAABDhEAAAAAAg6f8B2uFAFLB1A8MAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x792 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 11))\n",
    "sb.barplot(cv_score['Regressors'], cv_score['RMSE_mean'])\n",
    "plt.xlabel('Regressors', fontsize=16)\n",
    "plt.ylabel('CV_Mean_RMSE', fontsize=16)\n",
    "plt.xticks(rotation=45, fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's move on to optimizing the hyperparameters of the models that showed the best results. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4>XGBR</h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 4 folds for each of 200 candidates, totalling 800 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  33 tasks      | elapsed:   25.9s\n",
      "[Parallel(n_jobs=-1)]: Done 154 tasks      | elapsed:  2.6min\n",
      "[Parallel(n_jobs=-1)]: Done 357 tasks      | elapsed:  4.9min\n",
      "[Parallel(n_jobs=-1)]: Done 640 tasks      | elapsed:  8.9min\n",
      "[Parallel(n_jobs=-1)]: Done 800 out of 800 | elapsed: 11.6min finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best params(XGBR): {'n_estimators': 400, 'min_child_weight': 5, 'max_depth': 7, 'learning_rate': 0.05}\n",
      "RMSE(XGBR): 0.12393505483948361\n"
     ]
    }
   ],
   "source": [
    "predictions = {}\n",
    "\n",
    "\n",
    "xgbrM = xg.XGBRegressor()\n",
    "params = {'max_depth': [3, 4, 5, 6, 7, 8],\n",
    "          'min_child_weight': [0, 4, 5, 6, 7, 8],\n",
    "          'learning_rate': [0.01, 0.05, 0.1, 0.2, 0.25, 0.8, 1],\n",
    "          'n_estimators': [10, 30, 50, 100, 200, 400, 1000]}\n",
    "\n",
    "grid_search_xg = RandomizedSearchCV(estimator=xgbrM, scoring='neg_root_mean_squared_error', param_distributions=params, n_iter=200, cv=4, verbose=2,\n",
    "                                     random_state=42, n_jobs=-1)\n",
    "grid_search_xg.fit(X_train, y_train)\n",
    "xgbrModel = grid_search_xg.best_estimator_\n",
    "print('Best params(XGBR):',grid_search_xg.best_params_)\n",
    "print('RMSE(XGBR):', -grid_search_xg.best_score_)\n",
    "\n",
    "predictions['XGBR'] = xgbrModel.predict(X_test)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4>Ridge</h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 4 folds for each of 21 candidates, totalling 84 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 4 concurrent workers.\n",
      "[Parallel(n_jobs=-1)]: Done  40 tasks      | elapsed:    0.6s\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best params(Ridge): {'alpha': 10}\n",
      "RMSE(Ridge): 0.12667284394905526\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Done  84 out of  84 | elapsed:    0.9s finished\n"
     ]
    }
   ],
   "source": [
    "alpha_ridge = {'alpha': [-3, -2, -1, 1e-15, 1e-10, 1e-8, 1e-5, 1e-4, 1e-3, 1e-2, 0.5, 1, 1.5, 2, 3, 4, 5, 10, 20, 30, 40]}\n",
    "\n",
    "rd = Ridge()\n",
    "grid_search_rd = GridSearchCV(estimator=rd, scoring='neg_root_mean_squared_error', param_grid=alpha_ridge, cv=4, n_jobs=-1, verbose=3)\n",
    "grid_search_rd.fit(X_train, y_train)\n",
    "ridgeModel = grid_search_rd.best_estimator_\n",
    "print('Best params(Ridge):', grid_search_rd.best_params_)\n",
    "print('RMSE(Ridge):', -grid_search_rd.best_score_)\n",
    "\n",
    "predictions['Ridge'] = ridgeModel.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4>Cat Boost</h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Using backend LokyBackend with 4 concurrent workers.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Fitting 4 folds for each of 10 candidates, totalling 40 fits\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Parallel(n_jobs=-1)]: Done  33 tasks      | elapsed:  7.9min\n",
      "[Parallel(n_jobs=-1)]: Done  40 out of  40 | elapsed: 10.1min finished\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best params(CatBoost): {'learning_rate': 0.05, 'l2_leaf_reg': 2, 'depth': 4}\n",
      "RMSE(CatBoost): 0.1200037637297176\n"
     ]
    }
   ],
   "source": [
    "catM = CatBoostRegressor(verbose=0, allow_writing_files=False)\n",
    "params = {'learning_rate': [0.01, 0.05, 0.005, 0.0005],\n",
    "          'depth': [4, 6, 10],\n",
    "          'l2_leaf_reg': [1, 2, 3, 5, 9]}\n",
    "\n",
    "grid_search_cat = RandomizedSearchCV(estimator=catM, scoring='neg_root_mean_squared_error', param_distributions=params, n_iter=10, cv=4, verbose=2,\n",
    "                                 random_state=42, n_jobs=-1)\n",
    "grid_search_cat.fit(X_train, y_train)\n",
    "catModel = grid_search_cat.best_estimator_\n",
    "print('Best params(CatBoost):',grid_search_cat.best_params_)\n",
    "print('RMSE(CatBoost):', -grid_search_cat.best_score_)\n",
    "\n",
    "predictions['CatBoost'] = catModel.predict(X_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4>Blending models</h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_prediction = 0.25 * predictions['XGBR'] + 0.35 * predictions['CatBoost'] + 0.4 * predictions['Ridge']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h4>Result</h4>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.DataFrame([len(y_train) + 1 + i for i in range(len(X_test))], columns=['Id'])\n",
    "result[target_name] = np.expm1(final_prediction)\n",
    "result.to_csv('result.csv', index=False, header=True)"
   ]
  }
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