lr-model-missing-values-handled.ipynb

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     "status": "completed"
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    "tags": []
   },
   "source": [
    "# Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2e34454f",
   "metadata": {
    "execution": {
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     "status": "completed"
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   "outputs": [],
   "source": [
    "from scipy.stats import chi2_contingency\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.compose import ColumnTransformer\n",
    "from sklearn.pipeline import Pipeline\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.preprocessing import StandardScaler, OneHotEncoder\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_absolute_error, mean_squared_error\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import missingno as msno\n",
    "\n",
    "import warnings\n",
    "from sklearn.exceptions import ConvergenceWarning\n",
    "warnings.filterwarnings(\"ignore\", message=\"lbfgs failed to converge*\", category=ConvergenceWarning)\n",
    "warnings.filterwarnings(\"ignore\", message=\"`shade` is now deprecated*\", category=FutureWarning)\n",
    "warnings.filterwarnings(\"ignore\", message=\"use_inf_as_na option is deprecated*\", category=FutureWarning)\n",
    "warnings.filterwarnings(\"ignore\", message=\"`shade` is now deprecated*\", category=FutureWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2df2122f",
   "metadata": {
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     "duration": 0.012544,
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     "start_time": "2024-04-05T12:41:51.766917",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Reading and Exploring the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "600d116d",
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
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     "exception": false,
     "start_time": "2024-04-05T12:41:51.793153",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Id</th>\n",
       "      <th>MSSubClass</th>\n",
       "      <th>MSZoning</th>\n",
       "      <th>LotFrontage</th>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
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       "      <td>RL</td>\n",
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       "      <td>8450</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>208500</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>RL</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>5</td>\n",
       "      <td>2007</td>\n",
       "      <td>WD</td>\n",
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       "      <td>181500</td>\n",
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       "      <th>2</th>\n",
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       "      <td>60</td>\n",
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       "      <td>11250</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Lvl</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2008</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "      <td>223500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>70</td>\n",
       "      <td>RL</td>\n",
       "      <td>60.0</td>\n",
       "      <td>9550</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2006</td>\n",
       "      <td>WD</td>\n",
       "      <td>Abnorml</td>\n",
       "      <td>140000</td>\n",
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       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>84.0</td>\n",
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       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
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       "      <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",
       "      <td>250000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>5 rows × 81 columns</p>\n",
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      "text/plain": [
       "   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",
       "  LandContour Utilities  ... PoolArea PoolQC Fence MiscFeature MiscVal MoSold  \\\n",
       "0         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      2   \n",
       "1         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      5   \n",
       "2         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      9   \n",
       "3         Lvl    AllPub  ...        0    NaN   NaN         NaN       0      2   \n",
       "4         Lvl    AllPub  ...        0    NaN   NaN         NaN       0     12   \n",
       "\n",
       "  YrSold  SaleType  SaleCondition  SalePrice  \n",
       "0   2008        WD         Normal     208500  \n",
       "1   2007        WD         Normal     181500  \n",
       "2   2008        WD         Normal     223500  \n",
       "3   2006        WD        Abnorml     140000  \n",
       "4   2008        WD         Normal     250000  \n",
       "\n",
       "[5 rows x 81 columns]"
      ]
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     "metadata": {},
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   ],
   "source": [
    "train_data = pd.read_csv(\"/kaggle/input/house-prices-advanced-regression-techniques/train.csv\")\n",
    "train_data.head(5)"
   ]
  },
  {
   "cell_type": "code",
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       "  <thead>\n",
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       "      <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>LotShape</th>\n",
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       "      <th>...</th>\n",
       "      <th>ScreenPorch</th>\n",
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       "      <td>Lvl</td>\n",
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       "      <td>MnPrv</td>\n",
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       "      <th>1</th>\n",
       "      <td>1462</td>\n",
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       "      <td>14267</td>\n",
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       "      <td>12500</td>\n",
       "      <td>6</td>\n",
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       "      <th>2</th>\n",
       "      <td>1463</td>\n",
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       "      <td>13830</td>\n",
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       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MnPrv</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1464</td>\n",
       "      <td>60</td>\n",
       "      <td>RL</td>\n",
       "      <td>78.0</td>\n",
       "      <td>9978</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>Lvl</td>\n",
       "      <td>AllPub</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>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1465</td>\n",
       "      <td>120</td>\n",
       "      <td>RL</td>\n",
       "      <td>43.0</td>\n",
       "      <td>5005</td>\n",
       "      <td>Pave</td>\n",
       "      <td>NaN</td>\n",
       "      <td>IR1</td>\n",
       "      <td>HLS</td>\n",
       "      <td>AllPub</td>\n",
       "      <td>...</td>\n",
       "      <td>144</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2010</td>\n",
       "      <td>WD</td>\n",
       "      <td>Normal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>5 rows × 80 columns</p>\n",
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      ],
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       "     Id  MSSubClass MSZoning  LotFrontage  LotArea Street Alley LotShape  \\\n",
       "0  1461          20       RH         80.0    11622   Pave   NaN      Reg   \n",
       "1  1462          20       RL         81.0    14267   Pave   NaN      IR1   \n",
       "2  1463          60       RL         74.0    13830   Pave   NaN      IR1   \n",
       "3  1464          60       RL         78.0     9978   Pave   NaN      IR1   \n",
       "4  1465         120       RL         43.0     5005   Pave   NaN      IR1   \n",
       "\n",
       "  LandContour Utilities  ... ScreenPorch PoolArea PoolQC  Fence MiscFeature  \\\n",
       "0         Lvl    AllPub  ...         120        0    NaN  MnPrv         NaN   \n",
       "1         Lvl    AllPub  ...           0        0    NaN    NaN        Gar2   \n",
       "2         Lvl    AllPub  ...           0        0    NaN  MnPrv         NaN   \n",
       "3         Lvl    AllPub  ...           0        0    NaN    NaN         NaN   \n",
       "4         HLS    AllPub  ...         144        0    NaN    NaN         NaN   \n",
       "\n",
       "  MiscVal MoSold  YrSold  SaleType  SaleCondition  \n",
       "0       0      6    2010        WD         Normal  \n",
       "1   12500      6    2010        WD         Normal  \n",
       "2       0      3    2010        WD         Normal  \n",
       "3       0      6    2010        WD         Normal  \n",
       "4       0      1    2010        WD         Normal  \n",
       "\n",
       "[5 rows x 80 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_data = pd.read_csv(\"/kaggle/input/house-prices-advanced-regression-techniques/test.csv\")\n",
    "test_data.head(5)"
   ]
  },
  {
   "cell_type": "code",
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   "id": "90fc8859",
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train_data rows:  1460\n",
      "train_data columns:  81\n",
      "\n",
      "test_data rows:  1459\n",
      "test_data columns:  80\n"
     ]
    }
   ],
   "source": [
    "print('train_data rows: ',train_data.shape[0])\n",
    "print('train_data columns: ',train_data.shape[1])\n",
    "print()\n",
    "print('test_data rows: ',test_data.shape[0])\n",
    "print('test_data columns: ',test_data.shape[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75e8ecc1",
   "metadata": {
    "papermill": {
     "duration": 0.014212,
     "end_time": "2024-04-05T12:41:52.025117",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.010905",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**Distribution of class label**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "34c23188",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:52.056138Z",
     "iopub.status.busy": "2024-04-05T12:41:52.055736Z",
     "iopub.status.idle": "2024-04-05T12:41:52.437028Z",
     "shell.execute_reply": "2024-04-05T12:41:52.435847Z"
    },
    "papermill": {
     "duration": 0.399307,
     "end_time": "2024-04-05T12:41:52.439369",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.040062",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_18/1345581988.py:3: FutureWarning: \n",
      "\n",
      "`shade` is now deprecated in favor of `fill`; setting `fill=True`.\n",
      "This will become an error in seaborn v0.14.0; please update your code.\n",
      "\n",
      "  sns.kdeplot(train_data['SalePrice'], shade=True, color='skyblue')\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "sns.kdeplot(train_data['SalePrice'], shade=True, color='skyblue')\n",
    "\n",
    "plt.xlabel('SalePrice', fontsize=12)\n",
    "plt.ylabel('Density', fontsize=12)\n",
    "plt.title('KDE Plot of SalePrice', fontsize=14)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "008eb31c",
   "metadata": {
    "papermill": {
     "duration": 0.013996,
     "end_time": "2024-04-05T12:41:52.468209",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.454213",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "as simply in rea life, most prices are similar making a peak near 200k. some houses will have way higher prices as shown, the kde plot continous to more than 800k."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ec64665",
   "metadata": {
    "papermill": {
     "duration": 0.014323,
     "end_time": "2024-04-05T12:41:52.496809",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.482486",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Checking the number of unqiue values per feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6121a193",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:52.528309Z",
     "iopub.status.busy": "2024-04-05T12:41:52.527377Z",
     "iopub.status.idle": "2024-04-05T12:41:52.554836Z",
     "shell.execute_reply": "2024-04-05T12:41:52.553722Z"
    },
    "papermill": {
     "duration": 0.045524,
     "end_time": "2024-04-05T12:41:52.556984",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.511460",
     "status": "completed"
    },
    "tags": []
   },
   "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>Feature</th>\n",
       "      <th>Unique_Values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Id</td>\n",
       "      <td>1460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LotArea</td>\n",
       "      <td>1073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>GrLivArea</td>\n",
       "      <td>861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>BsmtUnfSF</td>\n",
       "      <td>780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1stFlrSF</td>\n",
       "      <td>753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>HalfBath</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Street</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>CentralAir</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Utilities</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Alley</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>81 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Feature  Unique_Values\n",
       "0           Id           1460\n",
       "4      LotArea           1073\n",
       "46   GrLivArea            861\n",
       "37   BsmtUnfSF            780\n",
       "43    1stFlrSF            753\n",
       "..         ...            ...\n",
       "50    HalfBath              3\n",
       "5       Street              2\n",
       "41  CentralAir              2\n",
       "9    Utilities              2\n",
       "6        Alley              2\n",
       "\n",
       "[81 rows x 2 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_values = train_data.nunique().reset_index()\n",
    "unique_values.columns = ['Feature', 'Unique_Values']\n",
    "\n",
    "unique_values_sorted = unique_values.sort_values(by='Unique_Values', ascending=False)\n",
    "\n",
    "# pd.set_option('display.max_rows', None)\n",
    "\n",
    "unique_values_sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe63356c",
   "metadata": {
    "papermill": {
     "duration": 0.014644,
     "end_time": "2024-04-05T12:41:52.586481",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.571837",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Applying the same for test_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "15d1f568",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:52.618547Z",
     "iopub.status.busy": "2024-04-05T12:41:52.617696Z",
     "iopub.status.idle": "2024-04-05T12:41:52.641305Z",
     "shell.execute_reply": "2024-04-05T12:41:52.640073Z"
    },
    "papermill": {
     "duration": 0.042121,
     "end_time": "2024-04-05T12:41:52.643633",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.601512",
     "status": "completed"
    },
    "tags": []
   },
   "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>Feature</th>\n",
       "      <th>Unique_Values</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Id</td>\n",
       "      <td>1459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LotArea</td>\n",
       "      <td>1106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>GrLivArea</td>\n",
       "      <td>879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>BsmtUnfSF</td>\n",
       "      <td>793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>1stFlrSF</td>\n",
       "      <td>789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>PoolQC</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Alley</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Street</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>CentralAir</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Utilities</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>80 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Feature  Unique_Values\n",
       "0           Id           1459\n",
       "4      LotArea           1106\n",
       "46   GrLivArea            879\n",
       "37   BsmtUnfSF            793\n",
       "43    1stFlrSF            789\n",
       "..         ...            ...\n",
       "72      PoolQC              2\n",
       "6        Alley              2\n",
       "5       Street              2\n",
       "41  CentralAir              2\n",
       "9    Utilities              1\n",
       "\n",
       "[80 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unique_values = test_data.nunique().reset_index()\n",
    "unique_values.columns = ['Feature', 'Unique_Values']\n",
    "\n",
    "unique_values_sorted = unique_values.sort_values(by='Unique_Values', ascending=False)\n",
    "\n",
    "unique_values_sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9de9030a",
   "metadata": {
    "papermill": {
     "duration": 0.014397,
     "end_time": "2024-04-05T12:41:52.672855",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.658458",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Checking if there are any **duplicate columns** since we have many features."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d1d430f8",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:52.705043Z",
     "iopub.status.busy": "2024-04-05T12:41:52.704254Z",
     "iopub.status.idle": "2024-04-05T12:41:52.711162Z",
     "shell.execute_reply": "2024-04-05T12:41:52.709862Z"
    },
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     "duration": 0.025926,
     "end_time": "2024-04-05T12:41:52.713443",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.687517",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No duplicate columns found in train_data.\n"
     ]
    }
   ],
   "source": [
    "duplicate_columns_train = train_data.columns[train_data.columns.duplicated()].tolist()\n",
    "\n",
    "if not duplicate_columns_train:\n",
    "    print(\"No duplicate columns found in train_data.\")\n",
    "else:\n",
    "    train_data = train_data.drop(columns=duplicate_columns_train)\n",
    "    print(\"Duplicate columns in train_data:\", duplicate_columns_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61b26006",
   "metadata": {
    "papermill": {
     "duration": 0.014952,
     "end_time": "2024-04-05T12:41:52.743597",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.728645",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Checking for test_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "688ecbf5",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:52.774753Z",
     "iopub.status.busy": "2024-04-05T12:41:52.774354Z",
     "iopub.status.idle": "2024-04-05T12:41:52.780607Z",
     "shell.execute_reply": "2024-04-05T12:41:52.779400Z"
    },
    "papermill": {
     "duration": 0.024568,
     "end_time": "2024-04-05T12:41:52.782987",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.758419",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No duplicate columns found in test_data.\n"
     ]
    }
   ],
   "source": [
    "duplicate_columns_test = test_data.columns[test_data.columns.duplicated()].tolist()\n",
    "\n",
    "if not duplicate_columns_test:\n",
    "    print(\"No duplicate columns found in test_data.\")\n",
    "else:\n",
    "    test_data = test_data.drop(columns=duplicate_columns_test)\n",
    "    print(\"Duplicate columns in test_data:\", duplicate_columns_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c25bb9b0",
   "metadata": {
    "papermill": {
     "duration": 0.014386,
     "end_time": "2024-04-05T12:41:52.812071",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.797685",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Sorting features by their **data type**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "06729d41",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:52.843172Z",
     "iopub.status.busy": "2024-04-05T12:41:52.842701Z",
     "iopub.status.idle": "2024-04-05T12:41:52.854976Z",
     "shell.execute_reply": "2024-04-05T12:41:52.854201Z"
    },
    "papermill": {
     "duration": 0.030781,
     "end_time": "2024-04-05T12:41:52.857497",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.826716",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Features sorted by Data Type:\n",
      "int64\n",
      "  - 1stFlrSF\n",
      "  - 2ndFlrSF\n",
      "  - 3SsnPorch\n",
      "  - BedroomAbvGr\n",
      "  - BsmtFinSF1\n",
      "  - BsmtFinSF2\n",
      "  - BsmtFullBath\n",
      "  - BsmtHalfBath\n",
      "  - BsmtUnfSF\n",
      "  - EnclosedPorch\n",
      "  - Fireplaces\n",
      "  - FullBath\n",
      "  - GarageArea\n",
      "  - GarageCars\n",
      "  - GrLivArea\n",
      "  - HalfBath\n",
      "  - Id\n",
      "  - KitchenAbvGr\n",
      "  - LotArea\n",
      "  - LowQualFinSF\n",
      "  - MSSubClass\n",
      "  - MiscVal\n",
      "  - MoSold\n",
      "  - OpenPorchSF\n",
      "  - OverallCond\n",
      "  - OverallQual\n",
      "  - PoolArea\n",
      "  - SalePrice\n",
      "  - ScreenPorch\n",
      "  - TotRmsAbvGrd\n",
      "  - TotalBsmtSF\n",
      "  - WoodDeckSF\n",
      "  - YearBuilt\n",
      "  - YearRemodAdd\n",
      "  - YrSold\n",
      "float64\n",
      "  - GarageYrBlt\n",
      "  - LotFrontage\n",
      "  - MasVnrArea\n",
      "object\n",
      "  - Alley\n",
      "  - BldgType\n",
      "  - BsmtCond\n",
      "  - BsmtExposure\n",
      "  - BsmtFinType1\n",
      "  - BsmtFinType2\n",
      "  - BsmtQual\n",
      "  - CentralAir\n",
      "  - Condition1\n",
      "  - Condition2\n",
      "  - Electrical\n",
      "  - ExterCond\n",
      "  - ExterQual\n",
      "  - Exterior1st\n",
      "  - Exterior2nd\n",
      "  - Fence\n",
      "  - FireplaceQu\n",
      "  - Foundation\n",
      "  - Functional\n",
      "  - GarageCond\n",
      "  - GarageFinish\n",
      "  - GarageQual\n",
      "  - GarageType\n",
      "  - Heating\n",
      "  - HeatingQC\n",
      "  - HouseStyle\n",
      "  - KitchenQual\n",
      "  - LandContour\n",
      "  - LandSlope\n",
      "  - LotConfig\n",
      "  - LotShape\n",
      "  - MSZoning\n",
      "  - MasVnrType\n",
      "  - MiscFeature\n",
      "  - Neighborhood\n",
      "  - PavedDrive\n",
      "  - PoolQC\n",
      "  - RoofMatl\n",
      "  - RoofStyle\n",
      "  - SaleCondition\n",
      "  - SaleType\n",
      "  - Street\n",
      "  - Utilities\n"
     ]
    }
   ],
   "source": [
    "feature_data_types = pd.DataFrame(train_data.dtypes).reset_index()\n",
    "feature_data_types.columns = ['Feature', 'Data Type']\n",
    "\n",
    "grouped_features = feature_data_types.groupby('Data Type')['Feature'].apply(list).reset_index()\n",
    "\n",
    "grouped_features_sorted = grouped_features.sort_values(by='Data Type')\n",
    "\n",
    "print(\"Features sorted by Data Type:\")\n",
    "for index, row in grouped_features_sorted.iterrows():\n",
    "    print(row['Data Type'])\n",
    "    for feature in sorted(row['Feature']):\n",
    "        print(\"  -\", feature)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb32c879",
   "metadata": {
    "papermill": {
     "duration": 0.014688,
     "end_time": "2024-04-05T12:41:52.887436",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.872748",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "💡 Few float features and seemingly equal number of integer features and categorical."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce684abb",
   "metadata": {
    "papermill": {
     "duration": 0.014598,
     "end_time": "2024-04-05T12:41:52.917255",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.902657",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Handling missing values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccea413b",
   "metadata": {
    "papermill": {
     "duration": 0.070709,
     "end_time": "2024-04-05T12:41:53.002710",
     "exception": false,
     "start_time": "2024-04-05T12:41:52.932001",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Checking the numbre of columnms with **missing values**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "49dd5b6b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:53.034680Z",
     "iopub.status.busy": "2024-04-05T12:41:53.034249Z",
     "iopub.status.idle": "2024-04-05T12:41:53.044746Z",
     "shell.execute_reply": "2024-04-05T12:41:53.043553Z"
    },
    "papermill": {
     "duration": 0.029175,
     "end_time": "2024-04-05T12:41:53.046697",
     "exception": false,
     "start_time": "2024-04-05T12:41:53.017522",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of columns with missing values: 19\n"
     ]
    }
   ],
   "source": [
    "train_missing_values = train_data.isnull().sum()\n",
    "num_columns_with_train_missing_values = (train_missing_values > 0).sum()\n",
    "print(f'Total number of columns with missing values: {num_columns_with_train_missing_values}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e3a553d8",
   "metadata": {
    "papermill": {
     "duration": 0.014611,
     "end_time": "2024-04-05T12:41:53.076316",
     "exception": false,
     "start_time": "2024-04-05T12:41:53.061705",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Applying the same for test_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7e63e17a",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:53.108181Z",
     "iopub.status.busy": "2024-04-05T12:41:53.107526Z",
     "iopub.status.idle": "2024-04-05T12:41:53.117403Z",
     "shell.execute_reply": "2024-04-05T12:41:53.116110Z"
    },
    "papermill": {
     "duration": 0.028638,
     "end_time": "2024-04-05T12:41:53.119926",
     "exception": false,
     "start_time": "2024-04-05T12:41:53.091288",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of columns with missing values: 33\n"
     ]
    }
   ],
   "source": [
    "test_missing_values = test_data.isnull().sum()\n",
    "num_columns_with_test_missing_values = (test_missing_values > 0).sum()\n",
    "print(f'Total number of columns with missing values: {num_columns_with_test_missing_values}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4d8e455",
   "metadata": {
    "papermill": {
     "duration": 0.015093,
     "end_time": "2024-04-05T12:41:53.151178",
     "exception": false,
     "start_time": "2024-04-05T12:41:53.136085",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Do we drop features with missing values?\n",
    "A decision as such needs to consider the precentrage of missing values, some blogs mentioned keeping columns with missing values & below 30, some other said 50%.\n",
    "\n",
    "\n",
    "\n",
    "When approaching the pre-processing step of handling missing values, various techniques can be employed, ranging from simple methods such as \n",
    "filling with the **mode**, **mean**, or **median** to more sophisticated techniques like **KNN** and using **machine learning models to impute missing values**.\n",
    "\n",
    "To make an informed choice among these techniques, it is advisable to **conduct thorough statistical analyses, both visually and computationally**. \n",
    "\n",
    "**Visualization methods, such as plotting**, can be employed to assess the distribution of missing values across all columns.\n",
    "\n",
    "This helps to determine **whether the missing values follow a pattern or occur randomly**. This visual inspection aids in selecting appropriate imputation strategies based on the observed patterns in the data.\n",
    "\n",
    "----\n",
    "\n",
    "Let's look at the % of missing values of each column in the data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "86aed837",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:53.183899Z",
     "iopub.status.busy": "2024-04-05T12:41:53.183472Z",
     "iopub.status.idle": "2024-04-05T12:41:53.198596Z",
     "shell.execute_reply": "2024-04-05T12:41:53.197401Z"
    },
    "papermill": {
     "duration": 0.034261,
     "end_time": "2024-04-05T12:41:53.200959",
     "exception": false,
     "start_time": "2024-04-05T12:41:53.166698",
     "status": "completed"
    },
    "tags": []
   },
   "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>Column Name</th>\n",
       "      <th>Missing Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PoolQC</th>\n",
       "      <td>PoolQC</td>\n",
       "      <td>99.520548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MiscFeature</th>\n",
       "      <td>MiscFeature</td>\n",
       "      <td>96.301370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alley</th>\n",
       "      <td>Alley</td>\n",
       "      <td>93.767123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fence</th>\n",
       "      <td>Fence</td>\n",
       "      <td>80.753425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrType</th>\n",
       "      <td>MasVnrType</td>\n",
       "      <td>59.726027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FireplaceQu</th>\n",
       "      <td>FireplaceQu</td>\n",
       "      <td>47.260274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotFrontage</th>\n",
       "      <td>LotFrontage</td>\n",
       "      <td>17.739726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageType</th>\n",
       "      <td>GarageType</td>\n",
       "      <td>5.547945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <td>GarageYrBlt</td>\n",
       "      <td>5.547945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageFinish</th>\n",
       "      <td>GarageFinish</td>\n",
       "      <td>5.547945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageQual</th>\n",
       "      <td>GarageQual</td>\n",
       "      <td>5.547945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCond</th>\n",
       "      <td>GarageCond</td>\n",
       "      <td>5.547945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <td>BsmtFinType2</td>\n",
       "      <td>2.602740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtExposure</th>\n",
       "      <td>BsmtExposure</td>\n",
       "      <td>2.602740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <td>BsmtFinType1</td>\n",
       "      <td>2.534247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtCond</th>\n",
       "      <td>BsmtCond</td>\n",
       "      <td>2.534247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtQual</th>\n",
       "      <td>BsmtQual</td>\n",
       "      <td>2.534247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>MasVnrArea</td>\n",
       "      <td>0.547945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Electrical</th>\n",
       "      <td>Electrical</td>\n",
       "      <td>0.068493</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Column Name  Missing Percentage\n",
       "PoolQC              PoolQC           99.520548\n",
       "MiscFeature    MiscFeature           96.301370\n",
       "Alley                Alley           93.767123\n",
       "Fence                Fence           80.753425\n",
       "MasVnrType      MasVnrType           59.726027\n",
       "FireplaceQu    FireplaceQu           47.260274\n",
       "LotFrontage    LotFrontage           17.739726\n",
       "GarageType      GarageType            5.547945\n",
       "GarageYrBlt    GarageYrBlt            5.547945\n",
       "GarageFinish  GarageFinish            5.547945\n",
       "GarageQual      GarageQual            5.547945\n",
       "GarageCond      GarageCond            5.547945\n",
       "BsmtFinType2  BsmtFinType2            2.602740\n",
       "BsmtExposure  BsmtExposure            2.602740\n",
       "BsmtFinType1  BsmtFinType1            2.534247\n",
       "BsmtCond          BsmtCond            2.534247\n",
       "BsmtQual          BsmtQual            2.534247\n",
       "MasVnrArea      MasVnrArea            0.547945\n",
       "Electrical      Electrical            0.068493"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_percentage = (train_missing_values / len(train_data)) * 100\n",
    "\n",
    "missing_info = pd.DataFrame({\n",
    "     'Column Name': train_data.columns,\n",
    "    'Missing Percentage': missing_percentage\n",
    "})\n",
    "\n",
    "missing_info_filtered = missing_info[missing_info['Missing Percentage'] != 0]\n",
    "\n",
    "missing_info_sorted = missing_info_filtered.sort_values(by='Missing Percentage', ascending=False)\n",
    "\n",
    "missing_info_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "440a3ab0",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "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>Column Name</th>\n",
       "      <th>Missing Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PoolQC</th>\n",
       "      <td>PoolQC</td>\n",
       "      <td>99.794380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MiscFeature</th>\n",
       "      <td>MiscFeature</td>\n",
       "      <td>96.504455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alley</th>\n",
       "      <td>Alley</td>\n",
       "      <td>92.666210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fence</th>\n",
       "      <td>Fence</td>\n",
       "      <td>80.123372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrType</th>\n",
       "      <td>MasVnrType</td>\n",
       "      <td>61.274846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FireplaceQu</th>\n",
       "      <td>FireplaceQu</td>\n",
       "      <td>50.034270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LotFrontage</th>\n",
       "      <td>LotFrontage</td>\n",
       "      <td>15.558602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCond</th>\n",
       "      <td>GarageCond</td>\n",
       "      <td>5.346127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageYrBlt</th>\n",
       "      <td>GarageYrBlt</td>\n",
       "      <td>5.346127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageQual</th>\n",
       "      <td>GarageQual</td>\n",
       "      <td>5.346127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageFinish</th>\n",
       "      <td>GarageFinish</td>\n",
       "      <td>5.346127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageType</th>\n",
       "      <td>GarageType</td>\n",
       "      <td>5.209047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtCond</th>\n",
       "      <td>BsmtCond</td>\n",
       "      <td>3.084304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtExposure</th>\n",
       "      <td>BsmtExposure</td>\n",
       "      <td>3.015764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtQual</th>\n",
       "      <td>BsmtQual</td>\n",
       "      <td>3.015764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType1</th>\n",
       "      <td>BsmtFinType1</td>\n",
       "      <td>2.878684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinType2</th>\n",
       "      <td>BsmtFinType2</td>\n",
       "      <td>2.878684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MasVnrArea</th>\n",
       "      <td>MasVnrArea</td>\n",
       "      <td>1.028101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MSZoning</th>\n",
       "      <td>MSZoning</td>\n",
       "      <td>0.274160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFullBath</th>\n",
       "      <td>BsmtFullBath</td>\n",
       "      <td>0.137080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtHalfBath</th>\n",
       "      <td>BsmtHalfBath</td>\n",
       "      <td>0.137080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Functional</th>\n",
       "      <td>Functional</td>\n",
       "      <td>0.137080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Utilities</th>\n",
       "      <td>Utilities</td>\n",
       "      <td>0.137080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageCars</th>\n",
       "      <td>GarageCars</td>\n",
       "      <td>0.068540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GarageArea</th>\n",
       "      <td>GarageArea</td>\n",
       "      <td>0.068540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TotalBsmtSF</th>\n",
       "      <td>TotalBsmtSF</td>\n",
       "      <td>0.068540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KitchenQual</th>\n",
       "      <td>KitchenQual</td>\n",
       "      <td>0.068540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtUnfSF</th>\n",
       "      <td>BsmtUnfSF</td>\n",
       "      <td>0.068540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF2</th>\n",
       "      <td>BsmtFinSF2</td>\n",
       "      <td>0.068540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BsmtFinSF1</th>\n",
       "      <td>BsmtFinSF1</td>\n",
       "      <td>0.068540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exterior2nd</th>\n",
       "      <td>Exterior2nd</td>\n",
       "      <td>0.068540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Exterior1st</th>\n",
       "      <td>Exterior1st</td>\n",
       "      <td>0.068540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SaleType</th>\n",
       "      <td>SaleType</td>\n",
       "      <td>0.068540</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Column Name  Missing Percentage\n",
       "PoolQC              PoolQC           99.794380\n",
       "MiscFeature    MiscFeature           96.504455\n",
       "Alley                Alley           92.666210\n",
       "Fence                Fence           80.123372\n",
       "MasVnrType      MasVnrType           61.274846\n",
       "FireplaceQu    FireplaceQu           50.034270\n",
       "LotFrontage    LotFrontage           15.558602\n",
       "GarageCond      GarageCond            5.346127\n",
       "GarageYrBlt    GarageYrBlt            5.346127\n",
       "GarageQual      GarageQual            5.346127\n",
       "GarageFinish  GarageFinish            5.346127\n",
       "GarageType      GarageType            5.209047\n",
       "BsmtCond          BsmtCond            3.084304\n",
       "BsmtExposure  BsmtExposure            3.015764\n",
       "BsmtQual          BsmtQual            3.015764\n",
       "BsmtFinType1  BsmtFinType1            2.878684\n",
       "BsmtFinType2  BsmtFinType2            2.878684\n",
       "MasVnrArea      MasVnrArea            1.028101\n",
       "MSZoning          MSZoning            0.274160\n",
       "BsmtFullBath  BsmtFullBath            0.137080\n",
       "BsmtHalfBath  BsmtHalfBath            0.137080\n",
       "Functional      Functional            0.137080\n",
       "Utilities        Utilities            0.137080\n",
       "GarageCars      GarageCars            0.068540\n",
       "GarageArea      GarageArea            0.068540\n",
       "TotalBsmtSF    TotalBsmtSF            0.068540\n",
       "KitchenQual    KitchenQual            0.068540\n",
       "BsmtUnfSF        BsmtUnfSF            0.068540\n",
       "BsmtFinSF2      BsmtFinSF2            0.068540\n",
       "BsmtFinSF1      BsmtFinSF1            0.068540\n",
       "Exterior2nd    Exterior2nd            0.068540\n",
       "Exterior1st    Exterior1st            0.068540\n",
       "SaleType          SaleType            0.068540"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "missing_percentage = (test_missing_values / len(test_data)) * 100\n",
    "\n",
    "missing_info = pd.DataFrame({\n",
    "     'Column Name': test_data.columns,\n",
    "    'Missing Percentage': missing_percentage\n",
    "})\n",
    "\n",
    "missing_info_filtered = missing_info[missing_info['Missing Percentage'] != 0]\n",
    "\n",
    "missing_info_sorted = missing_info_filtered.sort_values(by='Missing Percentage', ascending=False)\n",
    "\n",
    "missing_info_sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f84b9ceb",
   "metadata": {
    "papermill": {
     "duration": 0.015675,
     "end_time": "2024-04-05T12:41:53.283071",
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     "start_time": "2024-04-05T12:41:53.267396",
     "status": "completed"
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    "tags": []
   },
   "source": [
    "💡 It seems for both train and test data there is a **gap in percentage(%) of missing values**, its less than 20% then more than 45%.. \n",
    "\n",
    "❗ Before rushing into dropping any columns, we need to use them first to look at **The Pattern of Missing Data**."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e83fc9ae",
   "metadata": {
    "papermill": {
     "duration": 0.015437,
     "end_time": "2024-04-05T12:41:53.314465",
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     "start_time": "2024-04-05T12:41:53.299028",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## How to interpret MNSO plot?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dcc22981",
   "metadata": {
    "papermill": {
     "duration": 0.016428,
     "end_time": "2024-04-05T12:41:53.346733",
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   "source": [
    "Examine the next plot carefully, \n",
    "\n",
    "The **blue bars represent each column**. look at the first column from the left, it's a straight blue column with **no white horizontal lines** within. \n",
    "This indicates that this feature has **no missing values**.\n",
    "\n",
    "jump 3 columns and look at the fourth from left, it has several white lines and white spaces, **each line represent one missing value in this of data** across all features. Aside from white lines there are white spaces, these are nothing different, its just **a sequence of missing values**, creating a 'white space'.\n",
    "\n",
    "From the right, the 7th, 8th and 9th columns are **more white than blue**, these indeed are the columns with very high percentage(%) of missing values as observed in the tabel earlier.\n",
    "\n",
    "Now we have a general idea of this plot, we will take it a bit further to both clearly read it and be able to draw more accurate decisions and conclusions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "75317607",
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    "execution": {
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     "start_time": "2024-04-05T12:41:53.363103",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(train_data, figsize=(15, 6), color=(0.2, 0.5, 0.8))\n",
    "plt.title('Train Missing Data Matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4636c8ec",
   "metadata": {
    "papermill": {
     "duration": 0.01836,
     "end_time": "2024-04-05T12:41:53.851929",
     "exception": false,
     "start_time": "2024-04-05T12:41:53.833569",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "The features with very high percentage(%) of missing values were kept to this point just to explain the mnso plot, we dont need them anymore. \n",
    "\n",
    "**🗑️ Any feature with percentage(%) of 40 and more will be dropped**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4a5dda2a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:53.888852Z",
     "iopub.status.busy": "2024-04-05T12:41:53.888415Z",
     "iopub.status.idle": "2024-04-05T12:41:53.903176Z",
     "shell.execute_reply": "2024-04-05T12:41:53.901756Z"
    },
    "papermill": {
     "duration": 0.036131,
     "end_time": "2024-04-05T12:41:53.905254",
     "exception": false,
     "start_time": "2024-04-05T12:41:53.869123",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original shape of train_data: (1460, 75)\n",
      "Shape of train_data after dropping features with missing values above 40%: (1460, 75)\n"
     ]
    }
   ],
   "source": [
    "missing_percentage = (train_data.isnull().sum() / len(train_data)) * 100\n",
    "\n",
    "features_to_drop = missing_percentage[missing_percentage > 40].index.tolist()\n",
    "\n",
    "train_data = train_data.drop(features_to_drop, axis=1)\n",
    "\n",
    "print(\"Original shape of train_data:\", train_data.shape)\n",
    "print(\"Shape of train_data after dropping features with missing values above 40%:\", train_data.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73173429",
   "metadata": {
    "papermill": {
     "duration": 0.016113,
     "end_time": "2024-04-05T12:41:53.937895",
     "exception": false,
     "start_time": "2024-04-05T12:41:53.921782",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "🗑️ Dropping for test data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "69510c63",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:53.974762Z",
     "iopub.status.busy": "2024-04-05T12:41:53.974132Z",
     "iopub.status.idle": "2024-04-05T12:41:53.987180Z",
     "shell.execute_reply": "2024-04-05T12:41:53.986028Z"
    },
    "papermill": {
     "duration": 0.033047,
     "end_time": "2024-04-05T12:41:53.989228",
     "exception": false,
     "start_time": "2024-04-05T12:41:53.956181",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original shape of train_data: (1459, 74)\n",
      "Shape of train_data after dropping features with missing values above 40%: (1459, 74)\n"
     ]
    }
   ],
   "source": [
    "missing_percentage = (test_data.isnull().sum() / len(test_data)) * 100\n",
    "\n",
    "features_to_drop = missing_percentage[missing_percentage > 40].index.tolist()\n",
    "\n",
    "test_data = test_data.drop(features_to_drop, axis=1)\n",
    "\n",
    "print(\"Original shape of train_data:\", test_data.shape)\n",
    "print(\"Shape of train_data after dropping features with missing values above 40%:\", test_data.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ea5d923",
   "metadata": {
    "papermill": {
     "duration": 0.016994,
     "end_time": "2024-04-05T12:41:54.023138",
     "exception": false,
     "start_time": "2024-04-05T12:41:54.006144",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Same mnso plot, after dropping the previous columns:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "29f0b83b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:54.060530Z",
     "iopub.status.busy": "2024-04-05T12:41:54.059902Z",
     "iopub.status.idle": "2024-04-05T12:41:54.484727Z",
     "shell.execute_reply": "2024-04-05T12:41:54.483415Z"
    },
    "papermill": {
     "duration": 0.446611,
     "end_time": "2024-04-05T12:41:54.487465",
     "exception": false,
     "start_time": "2024-04-05T12:41:54.040854",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ZMqVzCgsArI/23HPPGD16dEyZMiVOO+20yGQyceONN5Z0uuyqDj300D5tErH99tvH/vvvH7vttluMGTMmHn/88fjlL38Zp556akREvPDCC3HAAQfEkUceGdtvv33U1dXF7bffHnPnzo2jjjpqneseNGhQnHvuufHZz3423vve98aRRx4Zs2bNiuuuuy4mTZrU4xFwr732WucoxuXLl8ezzz4bt956a8yZMyfOOOOM+OQnP9l574c+9KG4+OKL4+CDD45jjjkm5s2bFz/84Q9j6623Xm29xYiI3XbbLR544IG4+OKLY5NNNoktt9wy3v3ud8d///d/x4033hgjR46M7bffPv7yl7/EAw88EGPHju3Tr8POO+8cO++88xrv2W677WLSpElx5plnxmuvvRYjRoyI2267rcsQdbfddouIiNNOOy3e//73R21tbZ9+vz73uc/FggUL4oEHHoja2to4+OCD48QTT4xvfOMbceihh661ZgCASiQc7DB+/PhylwAAA9bYsWPjnnvuiTPOOCO+8pWvxOjRo+PYY4+NAw44IN7//veXu7weO+200+Kuu+6K+++/P1pbW2OLLbaIb3zjG/GFL3whIiImTJgQRx99dPzud7+LG2+8Merq6mK77baLW265JT760Y8WpYZTTz010jSNiy66KM4888zYeeed46677orTTjstGhsbe/SMv/3tb3HcccdFJpOJ4cOHx4QJE+LDH/5w56i3Vb33ve+Na665Ji644IL4/Oc/H1tuuWV8+9vfjlmzZhWEgxdffHGcfPLJ8ZWvfCVaWlpiypQp8e53vzsuueSSqK2tjZ/97GeRzWZjr732igceeKBff+/r6+vj7rvvjtNOO61z/cfDDjssTj311IKQ7vDDD4/PfvazcfPNN8dPf/rTSNO01+HgXXfdFTfccENcdNFFsd1223Wev/jii2PatGkxZcqUeOyxx6K+vr4o7wcAMFBk0nJ9y3+AWfU79Ztvvnlst912cf/990eEkYMAQP9KkiTGjRsXhx9+eFx11VXlLgcAgPWIkYMdzjnnnNh9991j9913j/Hjx8esWbNiyy23LHdZAECVyWaz0dDQsNo3Jm+44YZYuHBh7L///uUrDACA9ZJwsMN5551X7hIAgPXAX//61zj99NPjiCOOiLFjx8aTTz4Z11xzTey4445xxBFHlLs8AADWM8JBAIASmjhxYkyYMCEuvfTSWLhwYYwZMyaOP/74uOCCC2LQoEHlLg8AgPWMcBAAoIQmTpwYd911V7nLAACAiIioKXcBAAAAAEB5CAcBAAAAYD0lHAQAAACA9ZQ1B0vkXec+0av7G+trYvpZu0ZExN7nz4hse6Kddtppp512JW1XCTVqp5122mmnnXa+tq8v7VZ6/NzdenU/pTNzbkscdeWzMWZoXdx/5s7lLqfHhIMAAAAA0AtpmsalD7wWN/55bsG1hU25MlTUd8JBCqz8DgYAAAAAhZZm810Gg5VIOEiBvg6HBgAAAFgfDKrNlLuEohEOUkDYBwAAAFSb3z69MM667aVylzHgCAcpYOQgQGn19c/RUrYr9Z/1vrYAAFBM2fZEMNgN4SAAlNlA3RWvGH31lW9UAQBQTI31NXHmwRPiu/e90u99jRlaWXFbZVULAAAAAH1w1Ls3jKPevWFRnrW0JRfv/c5TXV6zW3GFmj59esycObPz85tvvtl5PHPmzLjuuutWu3/q1KklqgwAAACAgWRYY23ss+3IeOiFJeUuZZ0JBztcffXVcf3113d57eGHH46HH354tXPCQQAAAID1U1sujSdnLyt3GUVRU+4CAAAAAKCSZDIr1jGsBkYOdrjuuusKpg4DAAAA0P8eeHZRfOnWF8tdRlEMHVRZoaFwEADKrK877ZayXal3A7b7MFAtKuHP+HKo9vcDeieXpPHlX1ZHMBgR0dSWlLuEXhEOUsAXXIDS2vv8GZFt79lfIBrrazr/nO7vdsXoq69K3R9Afxmof8a/vV2pVfv7Ab1TV5OJrx++ZZx120vlLmW9JBykgC+4AAAAQCm9f8cx8f4dx/RrH5c98Gpc//Dcfu2jEgkHAQAA+olpxV2r9vcDBp5seyIY7IZwEAAAoJ+YVty1an8/YOBprK+JH03ZNi6Z9mpERKTpivOZTPTpc7Y9iRfnZ/u56tIQDgIAAABQ9XabODxuOGly0Z6XT9JY2pKLptYklmVz8c85LfGNu2fHmKGVFbdVVrUAAAAAMADU1mRi9ND6GD00IqIh6mtryl1SnwgHAQAAAKCXrv7jG3Hlg68XnF/cnCtDNX0nHKSAdTkAAAAAuvfmsvYug8GIiCQtcTHrSDhIAYv8AgAAAHRvSENlTiHuinAQAAAAAHphyKDamP7lXePF+S2RpBHLs/l45rWmuOIPr9uQBAAAAAAGmsXNuZj+wpKIiEhjxdzfTGR6/DmfRCRpGkkSkUvS+O59r3TZz8Imaw4CAAAAwICRbU/iwAufKncZA1L1TJAGAAAAgC4MqsvErpsPK3cZA5KRgwAAAABUtZpMJn48ddtoy6eRJGnk04h88tZxkqSRT1ZMHW7PJ9GWT6M9l0Z7Pon2fNrxecVxez6NhU3tccm018r9WkUhHAQAAACgquXyaRx31XPxr7kt5S5lwBEOAkCZTT9r1wHfrq999VWp+wMAoLotam4XDHZDOAgAZbb3+TMi25706N7G+prO4Ky/2xWjr74qdX8AAFS3ccMHxUn7bRyPvbQsIiLStGM34kymcwfifJJGvuM4SdPIJW8dr5xyvPI4l6TR1Nqzv68OdMJBAAAAAKrexiMHxd9eXl7uMgYc4SAAAEA/qYSlI8qh2t8PGHiy7Ul87a7Z5S5jQBIOAkCZVcI/HK05CNA3A3XpiLe3K7Vqfz+ASiIcBIAyG6j/cLTmIAAA1aKxviY2GTUoXl/cVu5SBpyachcAAAAAAP0p254IBrth5CAAAAAAVa2xviZ+NGXbuGTaqxER0bFZcWQy0afPc5e2xYLluX6uujSEgwAAAABUvd0mDo8bTppclGctbs7FgRc+VZRnlZtpxQAAAADQC4311ROpGTkIAAAAQNV7aX5L/Owv8zqnBkesmCaciYhMx8lMx39W3lKTyXR5f3NbzzbPqwTCQQAAAACqWrY9iSMuf7YkfQ0ZVFmjCoWDAAAA/WT6WbtWRLtSq/b3A9ZvLRU2qlA4SAFfcAEAoDj2Pn9GZNt79o/Exvqazr+Ll7pdqVX7+wEDT2N9TVx+3DZx0W9fiUy8NVX47dOIM5lMxzTjlZ8jMpGJJE0jn6SRpBH5JI1FTblY1Nz1bsVpP79LsQkHKeALLgAAAFBt9thqRPzi0zsU5VnVtFuxcBAAAACAqnf7E/Pj/HteLncZA45wEAAAoJ9Yc7Br1f5+wMCTbU8Eg90QDgIAAPQTaw52rdrfDxh4Gutr4pxDtoiv3TW73/sa2lBZuxVXVrUAAAAA0Eu5fBo//uMbJeurkggHAQAAAKhqaaQ9Hnm8rtorLBw0rZgCht4DAAAA1aSuJhP7bDsy7v7bgn7vK6msbFA4SCHreACUViUsVl/qP+t9bQEAoJiWtORLEgxWIuEgAJTZQF2svpwLwPtGFQAAxTRqSF1M2Wt8XP/w3HKXMuBYcxAAAACAqpZtTwSD3TByEAAAoJ9UwtIR5VDt7wcMPGlaYQsBlpBwkAK+4AIAQHEM1KUj3t6u1Kr9/YCBZ/Cg2vje0ZPi/LtfjjTSiI6sMI2I9K2PnSHiyk1FVlxLI00j8kkaySo/VwvhIAV8wQUAAACqzT7bjor7zhhVlGdl25M4+spn45WFrUV5XjlZcxAAAAAAeqG+NhObjm4odxlFYeQgAAAAAFXvjcWtcceTb67zczKZTCxpzsVf/720CFWVn3AQAAAAgKqWbU/iw5c8Xe4yBiTTigEAAACoag11mdjvHSPLXcaAZOQgAAAAAFUtk8nERUdt3ae2aZpGfuUuxcmK46bWfHzoe/8ocpXlIRykgN2HAQAAAFbIZDJRl4moq8l0nssnaRkrKi7hIAX2Pn9GZNuTHt3bWF8jTAQAAAAGvMXNufjTPxf36N5MRw6YrpIBJmlEkqaRT9LIJxE1mRXnKp1wEAAAAICqlm1P4sALnyp3GQOSDUkAAAAAqGqD6jKx6+bDyl3GgGTkIAVMEwYAAACqSU0mE1ed8I613pekaSRJRL5j+vDK46RjKvHK40XNuTj+qudLUHn/Ew5SwJqDAAAAQLX528vL45Jpr0bEW2sJvn1twZ5+XtjU3s/Vlo5wEAAAoJ/09RvppW5XatX+fsDAk21P4sRr/1nuMgYk4SAAAEA/6eusnFK3K7Vqfz9g4Gmsr4nj/mt83PiXueUuZcARDgIAAABQ9T73vs3ic+/brCjPyrYnsfc3ZxTlWeVmt2IAAAAA6IWejmKuBMJBAAAAAOiFutpMuUsoGtOKAQAAAKAXhjXUxrQz3xkPz1wamYhII+KVBdm45qE5MWZoZcVtlVUtAAAAAAwAo4fWx3/vPDbSNI22fBrPv9Ec1zw0p9xl9ZpwEAAAAAC6kaZpfPHWF+P3zy3u0f0Lm3L9W1CRWXMQAAAAALrR1Jr0OBisREYOAgAAAFD1bn1sXnz73lfKXcaAIxwEAADoJ9PP2rUi2pVatb8fMPBk2xPBYDeEgxTwBRcAAIpj7/NnRLY96dG9jfU1nX8XL3W7Uqv29wMGnsb6mvjaYRPjnNtnlbuUAUc4SAFfcAEAAIBq88xrTeUuYUCyIQkAAAAAVS3bnsQvHp1f7jIGJCMHAQAAAKhqjfU1cd3/t11c+eDrkYmITOata5lMRCYynccrJWkaSbLi5zSNSNIVx/lkxed8mkZtTSaSJKItn0RTaz5eW9QWY4ZWVtxWWdUCAAAAQC+laRqX/+G1ePTFZf3e18KmXL/3UUymFQMAAABQ1VpzaUmCwUpk5CAAAAAAVa2xviZ+e8Y7Y9ozi9b5WSunG+fTNJIkjXwakU/SeHNZe9z+5JumFQMAAADAQDN2WH0c9e4Ni/KsNE3jwt+8Erc8VrjJiWnFAAAAAFDFlmbzXQaDlcjIQQAAAADohZGD6+JHU7aNy3//WmQ6tjhe2pKLF+dnY/SQyorbKqtaAAAAABgAdps4PK75n+06P8+c2xJHXflsdGSFFcO0YgAAAABYTxk5CAAAAEBVSdMVuwinaRr5pGOH4TQiSTp+XmXH4bRjt+Gk496Vbd9+78pn5JOONqvsVpymaby2qK3cr90nwkEAAAAAqkYuSeOIHz4TryxsLUv/disGAAAAgDJJ0zSWZfPlLqNiGDkIAAAAQNWor62J+/73nfHqohUjB9M0jZb2JI6/6vkyVzYwCQcBAAAAqCp1tZmYuEHjauduPGm7uOpPb0RERJquOLdyZ+Hefm7PpfGXfy/tj9JLTjgIAAAAQNWbvMnQuPiorYv6zPZ8Esuy+ViWzcdzrzfHV371UowZWllxW2VVCwAAAAADRH1tTYwZWhNjhtZHey4tdzl9IhwEAAAAoKr86A+vd04hLrW0wjJC4SAFpp+1a7lLAAAAAOiTbHtStmAwImJRc65sffeFcJACe58/I7LtSY/ubayvESYCAAAAA0ZjfU1cefy28Z3fvNx5btXRfGms2MF41c9RcH3lcdp5beUtaRqxtCUXTW09y04GOuEgAAAAAFXlXVsOj1tO2aFf+/jby8vjqj++HhErRivOXdoec5a0xeghlRW3VVa1AAAAAFBmuSSNy3//Wjw5e3nBtUqbVlxT7gIAAAAAoJJk25Iug8FKZOQgAAAAAPTCsMba+PXpO8UdT74ZTa35WJbNx+uLW+OJWctjzNDKitsqq1oAAAAAKLNsexIf+t4/ury2sKmyphULBylg92EAAACA7i1pqawAcE2EgxTY+/wZkW3v2XbcjfU1wkQAAABgvdJQVz3beFTPmwAAAABACdRWUaJm5CAAAAAAVeWWR+fFd37zSln6HlSbKUu/fSUcpIBpwgCl1dc/d0vZrtRfG3wtAgCgr7LtSdmCwYiItnxatr77QjgIAGXW17Ve+7tdMfrqK+vfAgDQV431NXHBx7aKL9/2Yue5tCOvy6zDoL5Vn5FUVv63RsJBCvgHGQAAAFDJDtxhdBy4w2799vzmtnzs+62/9dvzS6mKlk8EAAAAgP6Xq7Cpw2siHAQAAACAXqitqaxNR9bEtGIAAAAAqt4bi1vj9iff7Fw7MGLFOoJppJ3n0o7/pBGRpmnHz4X3t7ZXz8hB4SAFrCEIAAAAVJNsexIfvuTpcpcxIAkHKWBDEgAAAKCaNNRlYv/tRsWDzy8udykDjnAQAAAAgKqWyWTiqD02jNcXta42VXjllOJVpxWvnE688kQaEfkkjVw+jXyaRj6JWNycK/k79BfhIACUWV9HYJeyXalHiRuVDgDAumhpy8ffXl7+1uf2JP7vlhfLWNHAJRwEgDLr63IO/d2uGH31lSUuAADoq7ZcEgd99+89/vvk+q6m3AUAAAAAQLHU1WZiq3GN5S6jYhg5CAAAAEDVqMlk4oaTJnd5LU3TyKcdPycRSZpGkkYkyYqf88mKNQjzadp5Lum4d2Xblef/Pa8lbn5kXuTTFW2a2/Lx2qK2GDO0suK2yqoWAAAAAPrgRw++Hlf98Y1+72dhU2VtVmJaMQAAAABVLduelCQYrERGDgIAAABQVb5//6vx07/MLUvfIwfXlqXfvhIOUsCOjwAAUBx9/bt1qduVWrW/H1Bei5tzZQsGIyKWtOTL1ndfCAcpsPf5M3q83XdjfY0v0AAA0I2+/t261O1KrdrfDyivUUPq4n/fv1n8+ME3oi234s+MtONaph/7zXdsXGJDEgAAAAAoo2P+c3wc85/j+72fJE2jqTUfy7L5ePb15vjSrS/2e5/FJhwEAAAAgF5ozyfx//3kn/Hs680F1xY3260YAAAAAKrW4uZcl8FgRESSdnl6wBIOAgAAAEAvjBs+KD6+x7gur40aUlkTdSurWkrCor0AAAAA3VvSkotfPDq/y2uVNq1YOEgBO4ABAAAAdG9EY21M2Wt8XP/w3HKXss5MKwYAAACAXshkMjF2WH2X1xrqMiWuZt0YOUgBIwEBAAAAurekJRcX//bVLq+15iprRxLhIAVMKwYAAADo3uD66pmMKxwEAAAAoOo9/tKyuOi3r0RERNoxuC/TMQO4t59b2no2qKoSCAcBAAD6SV9n2ZS6XalV+/sBA0+2PYlP3fBCucsYkKpnDCQAAAAA0CtGDgIAAPSTvq7nXep2pVbt7wcMPI31NXHEu8bFrY/P7/e+KmuvYiMHAQAAAKhy2fakJMFgRERl7VUsHAQAAACgyjXUZWKfbUeWu4wBybRiChh6DwAAAFSTTCYT3zt66163S9M08mlEkqSRT946Xtyci8N/8Ew/VFp6wkEKWMcDAAAAYEWoWJeJiJrVVxIc1lhbnoL6gWnFAAAAANALy7P5cpdQNMJBAAAAAOiFmkz3exKPGVpZE3Urq1pKwjRhAAAAoNolaRpJEpFP0441BVc5TiPyyVvHb19z8PXFbd0+d2FTroRvse6EgxSw5iAAAABQTfJJGp/40XMxc15Lv/dV0/2gwgHJtGIAAAAAqlouSeOVhdmS9JWkJemmaIwcBAAAAKCqNdTVxANf2Dmefq0p0jRiZX6Xpit/XnGQdpxL0hXTjHMrpxN3/lhxrqk1H5c98FpZ3qXYhIMAAAAAVL3Bg2pj9y1HFOVZ2fYkfvrnubGoubLWF+yKcBAAAAAAeqGxvibuO+OdsSybj+Wt+ViezcfzbzTHN+6ebbdiAAAAAKh2tTWZGDWkLkYNWRGv1VXaTiQdhIMAAAAA0EtX/fH1+NGDbxScX9RUWVON7VYMAAAAAL2wpCXXZTAY8dZmJ5VCOAgAAAAAvTCisbZzOnGlq463AAAAAIA1aG7Lx4zZyyOTiVi5OmAmk+n4ecW5TCYiSSOSJI18EpFP0xXHaUQ+eet4cXMuFlfBTsURwkEAAAAAqlxrLokDv/NUtOUrbdJv/zOtGAAAAICqVleTiYnjGstdxoBk5CAAAAAAVa22JhM3fXL71c6l6VvThd/6EZHLp5Fb7VzH+bedyyVptLQlsSybj2XZfMxekI1bH5sfY4ZWVtxWWdUCAAAAQBFkMpmoy6wYVVgMM+e2xK2PzS/Ks0rJtGIAAAAAWE8JBwEAAABgPWVaMQAAAAD00m/+viDOuX1WZDIRySqbILdX2I7IwkEKTD9r13KXAAAAAKxHFjfn4p6/LShb/2msCPQyken8nKZvhX5JuuLzinNpLGrKxa2Pr1hfMH1bFrgsmy9Z3cUgHKTA3ufPiGx70qN7G+trhIkAAABAn+WSND5y6dOxvLWyQrVqYc1BAAAAAMqmNhOxz7Yjy13GesvIQQAAAADKJpPJxNcP3zK+fviW/fL8NF0xafjSaa/FT/8yt1/6WNXoIZUVt1VWtZSEacLAQOPPJQAAqG7t+SSef6M5ko51/dI0XXEcHeFex/p/K4O+zuO3rQuYJBH5NI0kSSO/ynFTW1KSYDAiYlFzriT9FItwkALWHAQGmmr/c6mv9ZayXal/TSvt9xAAgL7LJ2l89AfPxOuL28pdynpJOAgAZdbX8LO/2xWjr76q9kAYWH9UwjeAyqHa3w/onZpMxPgRg4SDZSIcpIAvuAAAUBwD9RtAb29XatX+fkDvZDKZuOqEdxScf/vU4lWnHHc1tXjV85F2TDNeZcrxDQ/PjV8+Pr+Eb1YZhIMAAAAADDiZTCZqM52f1vl5X/rQ5vGlD22+zs+JiFjU1B4HfffvRXlWudWUuwAAAAAAqCS1NeseVg4URg5SwFB9AAAAgK6laRpDBtXGe7YbFX94fnG5y1lnwkEAAAAAqlqapnHenbPjnqcWlLuUAce0YgAAAACqWmsuFQx2w8hBAAAAAKpaY31N3HLK9vHTP8+NiBU7IEe8tc1Jkkbk0zSSZMUOx7nkreN8kkZ+leMkjWjPJ/HMa81d9jW4vrLG4gkHKWANQQAAAKCaJGka5905q9tAr5haeriPw0BRWVEmAAAAAPRSez6N51/v/2CwEhk5SAG7FQMAAADVpKGuJn73f7vEYy8tjYjCacXdfY6ISJIVU47zSdp5nMun8a1fv9z/hZeAcBAAAACAqjessTbeM3l0UZ61pCUnHAQAAACA9dHIwXXx46nbxhW/fz0yHcMNl7bkY+a8lhg9pLLitsqqFgAAAAAGgE1HN8Te247snIo8f1l7zJzX0hkWVgrhIAAAAABV7+d/nRsX/fbVfu9nYVOu3/soJrsVAwAAAFDVsu1JSYLBSiQcBAAAAKCqNdbXxLc+tmXU1sSKH5mOH335nCn8vKoRjbXleck+Mq0YAAAAgKp30A5j4qAdxhTteS1t+Xhhbkuk6YrjmfNa4pJpr0Xd29PCAU44CAAAAAC90NyWj4MufCpac2nBNWsOAgAAAEAVq6vJxAbD68tdRlEYOQgAAAAAvTCoribuPG2nyOXTWJbNxbJsPp57oznOuu2lGDO0suK2yqoWAAAAAAaIutpMjB5aH6OH1kdbF1OMK4FpxQAAAACwnjJyEAAAAADWIEnTyCdp5JOIXJJGLp/G9+9/NV5emI3l2Xwsy+ZjaUtlbUSyknCQAtPP2rXcJQAAAAAUTZqmceFvXolbHpvf7329a8vh/d5HMQkHKbD3+TMi25706N7G+hphIgAAdKOvf1cudbtSq/b3AwaeJS35kgSDERF/nbm0JP0Ui3AQAACgn/T1G++lbldq1f5+wMAzakhdbDWuMV6cn+33vpZm8/3eRzEJBwEAAPqJkYNdq/b3AwaebHtSkmCwEgkHAQAA+omRg12r9vcDBp7G+po499CJce6ds8pdyoAjHAQAAACg6v33LmPjv3cZW5RnLWnJxQHfeaoozyq3mnIXAAAAAAADXZKmkcunkW1Por42E984fMsYObg2hjXUxpBBb0Vso4ZU1li8yqoWAAAAAHopTdP4xt2z484ZC/q9ryRJ+72PYhIOAgAA9BMbknSt2t8PGHgWN+dKEgxG2K0YAACADjYk6Vq1vx8w8AweVFvuEgYsaw4CAAAAUNUa62visk9sXe4yBiQjBwGgzCphylmpR14Y6QEAQDFl25P47M9mlruMAUk4CABlNlCnnJVzGpdpY0C1qIRvAJVDtb8fQCURDgIAAPSTgfoNoLe3K7Vqfz9g4Gmsr4mj371h/PyReeUuZcARDgIAAABQ9c44eEKccfCEojwrTdPIJxEt7flY0pyPOUva4qlXlscVf3g9xgytrLitsqoFAAAAgDLLpxEnXffP+MerTQXXFjblylBR39mtGAAAAAB6IduedBkMViLhIAAAAAD0wqDaTLlLKBrTiilg0V4AAACA7i1qrqypw2siHKSAHcAAAAAAuje8sbbcJRSNacUAAAAA0At1NZnYaOSgcpdRFMJBAAAAAOiFmppMbCwcBAAAAID1z/JsPma8vLzcZRSFcBAAAAAA1lM2JKGADUYAAAAAutfTjVwrgZGDAAAAANALjfXVE6kZOUiBvc+f0eMEvLG+xkhDAAAAYL0ycnBtHLXHhnHzo/PKXco6Ew4CAAAAQC9kMpk48wMT4swPTOg8N3NuSxx15bMxZmhlxW3VMwYSAAAAAOiVyooyAQAAAKg6Nz8yL7573yvlLmO9JBykgDUEAQAAgFLJJWl877fVEwwubMqVu4ReEQ4CAAAAUDZ1NZm4/Pht46t3zIqIiDRNe9y2q1u7at2eT2Nxc2WFdqUiHKSA3YoBAACAUtpt4vC45/M79dvzc/k0DrnkHzFvWXu/9VGphIMAAAAAVLW62kzcc/pO0doxGCqfRuSTNJIkjXwaK35e5ThJV0x3Xnmc77i+8nhJSy7+75YXy/xWxSEcBAAAAKDq1WQyMXhQbVGelUvSGD+iPuYuLRyJ2FCXKUofpVJT7gIAAAAAoJIsWN7eZTAYEdGa6/maiQOBcBAAAAAAemH0kOqZjCscBAAAAIBeyCdpNNZXR6xWHW8BAAAAAP0gTVdsRtKWSyLbnkRTaz5ySRqnHrBpl/ePHFycdQ1LpXrGQFI008/atdwlAAAAABRNmqZx8nUvxIyXl/d7X0ta8v3eRzEJBymw9/kzItuxtffaNNbXCBMBAACAAW1pNl+SYLASmVYMAAAAQFUb3lgbm4waVO4yBiQjBwEAAACoajWZTNz1uZ3Wel+appGkEUmaRj5ZsfFIV8fZ9iSOv+q5aG7r2czLgUw4CAAAAEDVu/IPr8fVf3qj3GUMOMJBAACAftLX9blL3a7Uqv39gIFncXNOMNgN4SAAAEA/6etmf6VuV2rV/n7AwDNqSF18cv+N40cP9n9AOG54fb/3UUzCQQAAAACq3kn7bRIn7bdJUZ61vDUf+1/wty6vzV/WXpQ+SsVuxQAAAADQC411NbH9JkPKXUZRGDkIAAAAAL1QV5uJG06aHBERuSSN5dl8PP1aU3z+ppkxZmhlxW2VVS0AAAAADADt+STmLm2P1vYklmXz8cbi1nKX1CfCQQAAAADohWx7Eh+4+O+xLJsvuLawKVeGivrOmoMAAAAA0Ev1tZlyl1AURg4CAAAAUPXu+duCOPfOWf3ez9CGyhqLJxwEgDKbftauA75dX/vqq1L3BwBAdcu2JyUJBiMimlqTkvRTLMJBACizvc+fEdn2nv0ForG+pjM46+92xeirr0rdHwAA1a2xviY2HTUoXlvc1u99DR1k5CAVzj+wAAAAgGqSbU9KEgxGRDS1GTlIhTNaAwAAAKgmjfU1cfFRk+Ibd89e671pWngu87a9R1rbk4oLAbsjHKSAsA8AAACoNvu+Y1Tc/45RRXnWvKVt8cHv/aMozyq3ypoEDQAAAABl1lBfPZGakYMUMK0YAAAAoHsjB9fFJ/ffOH704BsF1zJd3D+QCQcBAAAAoJdO2m+TOGm/TTo/z5zbEkdd+WyMHlpZcVv1jIEEAAAAAHqlsqJMAAAAABgA2nJJvLqoNdrzaSzP5uNfc1vKXVKfCAcBAAAAoBda2vJx8EV/j6a2wj0bFjblylBR35lWDAAAAAC9UFOT6TIYrERGDlLA7sMAAAAA3VvSXFmjA9dEOEiBvc+fEdn2nqXfjfU1wkQAAABgvTJmaH25Syga4SAAAAAAVe9fc5vj2ulzIiIiTVecy2TeOu7qc3eWthg5CAAAwFr0dZZNqduVWrW/HzDwZNuTOPrK58pdxoAkHAQAAOgnfV2yp9TtSq3a3w8YeBrqMnHormPjzhkLyl3KgCMcBAAAAKCqZTKZOPuQiXH2IROL9sxHX1walz3wWuTTNJIkYlFzeyxYnovRQyorbqusagEAAABgANhjqxFx48kjIknTaGrNx9OvNsVnfzYzMplyV9Y7wkEAAAAA1ktpmkY+jUiSNPLJW8dJGpFL0s7jfMf1lcft+TT+55rnoy1fuHvJwqbK2qxEOAgAAABAVcsnaRx/1XPxzzkt5S5lwBEOUsCivQAAAEA1ySVpvDg/W+4yBiThIAXsAAYAAABUk4a6mvjd/+0cT728PCIiVk4GXrk8YFefk1WmGL99WnE+SeNrd80u3Qv0I+EgBYR9AAAAQLUZMqg2/mvrkUV51uLmXEQIB6lSRg4CAAAAdK+nuUklqCl3AQAAAABQSQbVZdZ+U4UQDgIAAABALwyqrZ5IzbRiAAAAAKpKkqbR3Lpi6m8aKzYSSTs2E0nStHOzkXwakaZp5JMVbZKVP3fcm6YR+TQtuLc1Vz3TioWDAAAAAFSNXJLGRy59OuYsaSt3KRWhesZAAgAAAEAakcun5a6iYhg5CAAAAEDVqKvNxK9P3ykWLG/vPLcyKkzTrqcP92aq8dvvTZIVn99Y3Bo//P3rMWZoZcVtlVUtAAAAAKxFbU0mNhwxqF/7+OVj8+OCe18uON/SVlnrEZpWDAAAAAC9sKQl12UwGBHR0i4cBAAAAAAqgHAQAAAAAHph5OC6+PphE6M2E1Fbs+LHSsMba8tXWB9YcxAAAAAAupCushHJih8RuY7j3SYOj1+cskMsy+ZiWTYfM+e2xKUPvBb1tZlyl90rwkEAAAAAqlqapvGVX70Uv316Ub/3tbAp1+99FJNpxQAAAABUtWx7UpJgsBIJBwEAAACoaplMZU31LSXTigEAAACoao31NfHr03eKe59aEBERacf5lZFhbz8vb83H9Q/P7adqS0s4CAAAAEDVGz9iUJywz8ZFedaSlpxwkOo1/axdy10CAAAAACVgzUEAAAAAWE8ZOUiBvc+fEdn2pEf3NtbXGGkIAAAArFdGNNbGqCF1sbg5V+5S1plwEAAAAICqN2dJW9zzt5UbkqzYYiTTscVIbz8vaclVRTAYIRwEAADoN32dZVPqdqVW7e8HDDzZ9iT++/v/KHcZA5JwEAAAoJ/0dcmeUrcrtWp/P2DgaajLxD7bjoyHXlhS7lIGHOEgBXwBBQAAAKpJJpOJ7x29da/bpWkaSRqRpGnkk4h8kkaSpvHKwtY4/qrn+6HS0hMOUsB34wAAAABWhIq1mYjayER97Vvnx49Iu21TW1OCwoqowsoFAAAAgPIaO6w+jtx9XJfXhgyq7fL8QGXkIAADnhHKAADAQLKkJRe3PDa/y2vLsvkSV7NuhIMADHiWOwAAANbVTX+dGxf/9tVylzHgmFYMAAAAQFXLtieCwW4YOQgAAABAVWusr4kLPrZVnH37S5GJiEzmrWuZTCYyncex4rjjRCYyUZMpvL+lLR+tue43JakkwkEAAAAAqt6BO4yOA3cY3as2aZpGkkbkk7TjR0QuSWNRU3sccfmz/VRpaQkHAQAAAKhqaZrGV371Uvz26UXlLmXAseYgAAAAAFWtNZcKBrshHAQAAACgqg2qy8TYYaWZQNtQl1n7TQOIcBAAAACAqtaWS2PB8lxJ+qq0jUqEgwAAAABUtcb6mvj+MVuXpK8xQytri4/KqhYAAKCCTD9r14poV2rV/n7AwJNtT+LzN80sSV8Lm0ozQrFYhIMAAAD9ZO/zZ0S2PenRvY31NZ3hV6nblVq1vx9AJTGtGAAAAICq1lCXifEj6stdxoAkHAQAAACgqrXm0pi7tL3cZQxIwkEAAAAAqlpjfU384Nhtyl3GgGTNQQAos0pYrL7UazZZIwoAgGLKtidx6k//Ve4yBiThIACU2UBdrL6cC8BbcB4AgGJqqMvEB3YaE7/5x8JylzLgCAcBAAAAqGqZTCa+fviW8fXDt1yn56RpGkka0dKWxPu++1S05dMiVVg+1hwEAAAAgB7IZDJRW5OJYY21cc6hE2PyxkNi4gaNMXboW+PvxgytrLF4lVUtJWFqFgAAAFBt5i9ri9/8fcW04pXj/TIdP/f289ylbfGLR+d32c/Cplwxyi0Z4SAFrPMEUFo2JCl/fwAAVLdsexIfuPgf5S5jQBIOUsA/yABKy4YkhXyjCgCAYmqoy8SeW4+IP89cWu5SBhzhIAAAAABVLZPJxP/ss3E0t634BnSapp3nu/ucRkSaRuSTtONHRK7jeOHy9mhq69k3swc64SAFjNYAAIDiqISlI8qh2t8P6L0fPPBaXPfwnHKXsV4SDgIAAPSTgbp0xNvblVq1vx/QO7kkjZ/9dW65y1hvCQcBAAAAKJu6mkzc9MnJcfkfXi9fEW/fjngtkiSNP/5zSZfXhjbUFKemEhEOAgAAAFBWW44bHBceOancZfTYnCVt8cd/dr37cVNrZa1FWFlRJgAAAACU2fgR9TF+RH25yygK4SAAAAAA9MLSbD7mLm0vdxlFYVoxAAAAAFXlovteiZ8/Mq/cZVQEIwcBAAAAqBrZ9kQw2AvCQQAAAACqRk0PdxxmBdOKAQAA+sn0s3atiHalVu3vB5RXXW0mdth0SDzzWnO5S6kIwkEK+IILAADFsff5MyLbnvTo3sb6ms6/i5e6XalV+/sB5VWTycT1J06OiIg0TSNJI/JJGp+8/oX4x6tNZa5u4BEOUsAXXAAAAKBS5ZM0jr7y2XhxfrbcpVQEaw4CAAAAUDWSNI35y9rLXUbFMHIQAAAAgKpRX1sT953xzpg5t6Xz3LJsPk796b/KWNXAJRwEAAAAoKo01NXEDpsOXe3cjSdtF3/vWHMwTd86n0/SSNI08slbx0kSkVvlOJ+mK66tcrywKRcPvbCkoO8xQysrbqusaikJawgCAAAA1WbyJkNj8iZD135jDyxvzcf+F/yty2sLm3JF6aNUhIMUsCEJAAAAQPfacj3LTSqBDUkAAAAAoBeGNdSWu4SiEQ4CAAAAQC/kkjTqazPlLqMoTCsGAAAAgF4YMqg2fvd/O8fzbzRHRERzWxIz57bED373mg1JAAAAAKDaDRlUG/+xxfCIiMjl0xg6qDIn6AoHAQAAAKAX8kkap/3sX/HIi8sKrlXabsWVGWkCAAAAQJk0t+W7DAYrkXAQAAAAAHphWENtfHiXseUuoyiEgwAAAADQCwuW5+Luvy0odxlFYc1BAAAAAKret+99OW59bH65yxhwjBwEAAAAoKpl2xPBYDeEgwAAAABUtYa6TIwfUV+SvoY11Jakn2IRDgIAAABQ1Vpzacxd2l6Svpa35kvST7FYcxAAAACAqtZYXxN3f27HuHPGgkjTNNKO82n6tp8jjTRd9XN0e38aaWTbk1iazcfybD7eXNYeL72ZjTFDKytuq6xqAQAAAKAPNh7VEJ96zyZFe14+SWNpSy6aWpNYls3FP+e0xDfunl2055eKcBAAAAAAeiHbnsTe35zR5bWFTbkSV7NuhIMUmH7WruUuAQAAAGDAWtpSWQHgmggHKbD3+TMi25706N7G+hphIgAAALBeGTe8PoY31saybGVtPtIVuxUDAAAAQC8szearIhiMMHIQAAAAgPXAKwuz8YtH5q/xnkzmrR2J1yS/hpsG1WZ6W1pZCQcBAAD6SV+X4Cl1u1Kr9vcDBp5sexKHXfZMSfpqy/cgXRxAhIMAAAD9pK/reZe6XalV+/sBA09DXSYO2mF0THtmUb/3tcGw+n7vo5isOQgAAABA1RvWUFuSft5c3l6SfopFOAgAAABAVWvNpXH7k2+Wu4wBSTgIAAAAQFVrqMvEuOGlme47tKGy4rbKqhYAAAAAeqk1l8b8ZaWZ7tvU2rO1UQcKG5IAAAAAUDWSNI2pVz8fz77eXO5SKoKRgwAAAABUjVw+jRfnZ8tdRsUwcpAC08/atdwlAAAAAPTJoLqamHbmO+OpV5p63TZJ00jSiCTp+DlNI0ki8mm62rk3FrfFj//4Rj9UX3rCQQrsff6MyLb3bH58Y32NMBEAAAAYUAYPqo3/nDSi356fpGnVhIOmFQMAAABAL8xbWprNTUpBOAgAAAAAvbDRyEFxxLvGdXltzNDKmqhbWdVSEqYJAwAAAHRvWTYXtz4+v8trC5tyJa5m3Rg5CAAAAAC9kO/ZVg0VwchBCtiQBAAAAKB7IwbXxoHbj44Hnl1U7lLWmXAQAAAAgKo3/YUlcf49syMiIk1XnMtkotefVx5HRIwbXt/5uak1Hy3tSYwaUllxW2VVCwAAAAC9lG1P4vM/n1mSvhY3V9aag8JBCpgmDAAAAJTS/U8vjC/f9lK5y1gv2ZAEAAAAgLLJJWl85VeCwXIxcpACNiQBAAAASqWuJhPf/OhW8aVfvljuUopiaENljcUTDgIAAABQVgfuMDoe32G3cpfRK+35JOYsaYvWXBqLmtrj7680xRV/eD0a6oSDAAAAAFC1su1J7HfBjMh3MfFyYVNlbUhSWVEmAAAAAJRZtj3pMhisRMJBAAAAACIi4vbbb4+DDjooxo4dG42NjbHlllvG0UcfHa+88krnPeeee25kMpluf8yaNat8L1AiQwbVxKajB5W7jKIwrRgAAABgPZemaXzqU5+KH//4xzFp0qQ46qijYvjw4fH666/HH//4x5g9e3ZMmDBhtTZTpkyJiRMnFjxr1KhRpSm6jAbV1cSdp+0UuSSN5dl8LM/m49nXm+LLt70UY4ZWVtxWWdUCAAAAUHSXXnpp/PjHP45TTjklLr300qitrV3tei5XuI7e1KlTY//99y9RhQNPmqbRnkuiLZdEay6J9nxa7pL6RDgIAAAAsB5raWmJ8847L7baaqu45JJLCoLBiIi6OhHSqlpzSRx+2dMxd2l7wbVK25DE7ywAAADAeuz++++PRYsWxQknnBD5fD7uuuuueOGFF2LUqFFx4IEHxtZbb91luz/96U/xyCOPRE1NTWyzzTZx4IEHxrBhw3rd/8sLsnHXjAXx+pLW2GRkQxyy69jYfGzjur5Wv0qSNJa25MtdRlEIBwEAAADWY0888URERNTW1sY73/nOeOGFFzqv1dTUxOmnnx7f/e53C9p99atfXe3zqFGj4pJLLonjjz++x33fNePN+MbdsyMTEWlEZCLihj/PibMP2SI+vMsGfXmdokvSNJIkIpekqx1vs9Hg+PsrTeUub50JBwEAAADWY/PmzYuIiIsvvjj+4z/+Ix599NGYPHlyzJgxI04++eS46KKLYtKkSfHpT386IiJ23nnn+MlPfhL7779/bLzxxjFnzpy455574pxzzompU6fGqFGj4pBDDllrvy8vyMY37p4dSRdL9X3tztmxcHl7jB0+KDIRUZOJjt2QVzl+2/m04zlJmkaarvicpGmksWKk39m3zyrKr1e1EQ4CQJlNP2vXAd+ur331Van7A+gvlfBnfDlU+/tBpUmSJCIiBg0aFHfccUdssskmERGxzz77xK233ho777xzXHTRRZ3h4GGHHbZa+4kTJ8app54akydPjoMOOii+8pWv9CgcvGvGgsh0cy2NiMt+93qf34meEw4CQJntff6MyLYnPbq3sb6m8x9G/d2uGH31Van7A+gvA/XP+Le3K7Vqfz+oNCNHjoyIiHe9612dweBKO+64Y2y11VYxc+bMWLx4cYwaNarb5xxwwAExadKk+Mc//hFLly6NESNGrLHf15e0RmXu71tdhIMAAAAA67F3vOMdERHdBn8rz7e0tKwxHIyI2GCDDWLmzJnR3Ny81nBwk5EN3Y4crM1EHLfnRnHqgZuudn7lmn/5NI188tZxkqSRX/U4jY7rK45XXO/6OEk71hPsOM53XF95nKQdz+7mOOmo5c1l7XHbE2/GmKGVFbdVVrUAAAAAFNV73vOeiIh47rnnCq61t7fHzJkzY+jQoTFu3Lg1PqepqSmeeeaZGDp0aGywwdo3Ezlk17Fxw5/ndHktjYhD/2NswfmaTCZqaiPquo0VSyNN0/jLv5fG9+9/tTNIXNKc67hW1tJ6TThIAUPvAQAAYP0xadKkeN/73hf3339/XH311XHiiSd2Xrvgggti8eLFceyxx0ZdXV0sW7Ys3njjjdh2221Xe0ZLS0ucdNJJsWzZsjjhhBOirm7tkdPmYxvj7EO2iK/ftfpuxWlEnH3IFjFhTGPR3jFN0/jybS/FtGcWFe2Z3VnUERJWCuEgBazjAQAAxWFDkq5V+/tBJbr88stjzz33jJNOOinuuOOO2G677WLGjBnx+9//PrbYYou48MILIyJiwYIFsd1228Xuu+8ekydPjo022ijmzp0bDzzwQLz66qux0047dd7bEx/eZYPYZfNhceeTC+L1Ja2xyciGOPQ/xhY1GIyIWJrNlyQYrETCQQAAgH5iQ5KuVfv7QSWaNGlSPP7443HOOefEfffdF/fff39stNFG8ZnPfCbOOeec2HDDDSMiYsyYMXHKKafEo48+Gvfee28sWrQoBg8eHJMnT47TTjstTj311Bg8eHCv+p4wprFgbcFiG9ZQGzWZiKQEU37HDqusuK2yqgUAAACgX0yYMCGuvfbaNd4zYsSI+MEPflCiioqntiYTj56z22rn0nTFWoFr2mRk5XGSdGxassrxywuy8dwbzbGkOReLW3Ixd0lb/HNOizUHAaDYfNcfAAAotkwmE7WZiNrIRH1t79oubs7FlKuei3wXQeDCJmsOAkBRmUIEAAAMNF0Fg5WoptwFAAAAAEAlaajLlLuEojFykAJG3AAAAADruzWtSThnSVu5yysa4SAFTN8DAAAAqkmapvH5n8+Mh/+1tNylDDimFQMAAABQ1VpzqWCwG0YOUsBIQAAAAKCaNNbXxL2n7xT3/n1hUZ43Z0lb/PLx+UV5VrkJBylgWjEAAABQbTYcMSim7r1RUZ6VpKlwkOol7AMAAADo3rJsvtwlFI01BwEAAACgFxY358pdQtEYOUgB04oBAAAAujd+xKBur40bXl/CStadcBCAAc83IQAAgIFkzpK2bq/NX9ZewkrWnXAQgAHPiGYAAGBd3fDwnLj0gdf6vZ+6mky/91FM1hwEAAAAoKpl25OSBIMREbkkLUk/xWLkIAWMuAEAAACqSWN9TXz345PivDtnRURE2pHfZToG+fX2czXtViwcBAAAAKDq7b/dqNh/u12K8qzFzbk48MKnivKschMOUsDaXgAAAADdGzm4No5+94bx80fmlbuUdSYcBAAAAIBeyGQycfxe42PPrUfEsmw+lmXzMXtBNm7667wYM7Sy4rbKqpaSMBIQAAAAoHtLW3LxkUufjtZc4eYjC5tyZaio74SDFDCtGAAAAKB7NTWZqKvNdBkOVpqachcAAAAAAJVkWENtnPeRLaM2U3ht9JDKGotXWdVSEkYCAgAAAHRvSUsuzvzFv7u8tqjZtGIqnGnFAAAAAOsH04oBAAAAoBdGNNbGqAqbPtyd6ngLAAAAAOhw62Pz4tv3vlLuMiqCkYMAAAAAVI1seyIY7AUjBwEAAPpJX9fnLnW7Uqv29wPKq7G+Jr71sS3j//3ypXKXUhGEgwAAAP2kr5v9lbpdqVX7+wHld9AOY+KgHcZ0fm7LJfHf3/9HLGyqrJ2ES0E4CAAAAEBVG1RXE/ee/s5Y3JKLJEkjSSPySRr5VY6TNI18svrxip/fOk6SiFzH9SSJyKdpJB3X31jSGj968I0YM7Sy4rbKqhYAAAAA+uD+ZxbGObfP6vd+2nJpv/dRTDYkAQAAAKCqZduTkgSDERHLW/Ml6adYhIMAAAAAVLXG+pr40gc3L3cZA5JpxQAAAABUvY/tPi4+tvu4dX5OmqaxvDUf7/n2U0WoqvyEgwAAAABUvYvueyV+/si8cpcx4JhWDAAAAEBVy7YngsFuGDlIgeln7VruEgAAAACKprG+Jq79/94RV/zh9chERCaTiYjoOH7rvkwmIhOZ1c7VZFa/PzIR2bYk/vLvpaUqv18JBwEAAACoejttNiwuP27bojzr1UWt8ZFLny7Ks8pNOEiBvc+fEdn2pEf3NtbXGGkIAAAArFdGNNZ2e6020+2lAcmagwAAAADQC+karuXXdHEAEg4CAAAAwHpKOAgAAAAA6ylrDlLAGoIAAAAA3auvtIUF10A4SAEbkgAAAAB0r64mEw11mWjNVdgCg10QDgIA0CXfAAQA6FpbLq2KYDBCOAgAQDfMJgAA6FpzW77cJRSNDUkAAAAAoBeGNtSWu4SiMXIQAAAAAHphaENtPPilXeLpV5siIqItl8S/57XED3//eowZWllxW2VVCwAAAAADwLCG2vjPSSMiIiKfpDFySGXGbJVZNQAAAACUST5J4/Sfz4w/z1xacG1hU64MFfWdNQcBAAAAoBea2/JdBoOVyMhBAAAAAOiF4Y11ccdpO8Y9f1sQmY5zC5ra41dPvGnNQQAAAAAop+ffaI4fPfh65+c0XfFzJlP4eeXx2z+//draLMtW1nTilYSDFJh+1q7lLgEAAKpCX/9uXep2pVbt7weUV7Y9iWN//FzZ+q+0NQeFgxTY+/wZkW1PenRvY32NL9AAANCNvv7dutTtSq3a3w8or8b6mvj4HuPiF4/OL3cpFUE4CAAAAEBV+cIHNo8vfGDzzs/Z9iT2/uaMMlY0cAkHKeC7awAAAEA1aayviZs/vX3c+Oc5EbHmNQh78rmpNYkHn1/cv0WXiHCQAobqAwAAANVm6w0Hx3kf2bIoz1rY1C4cpHoJ+wAAAAC6V7NyCGEVEA5SwMhBAAAAgO4NqlvPw8F58+bFo48+Go8++mg89thj8dhjj8WCBQsiImLKlClx3XXX9bmg5ubm2HHHHeOll16KiIgtttgiZs2a1aO2TU1Ncd1118WvfvWreP755+PNN9+MUaNGxaabbhp77bVXfPjDH473ve99a3zG008/HZdddlk88MAD8frrr8ewYcNiu+22i0984hNx4oknRl1d9eepwj4AAACA7rXl0nKXUDR9SrrGjx9f7Do6nXPOOZ3BYG/84Q9/iBNOOCFmz5692vl58+bFvHnzYsaMGfHQQw+tMRy86qqr4tRTT422trbOc9lsNqZPnx7Tp0+Pa6+9Nn7961/HBhts0Ov6KomRgwAAAADdq6JZxVGzrg/YfPPN1zoar6dmzJgR3//+96OxsTGGDx/e43YPPPBAfPCDH4zZs2fHqFGj4ktf+lLcd9998eSTT8b06dPjqquuikMPPTQGDx7c7TPuvffe+NSnPhVtbW0xfvz4uPTSS+ORRx6J3/zmN3H44YdHRMSjjz4ahx12WOTz+XV+VwAAAAAq08jBdXHDSdvFeyePigO2X/HjXRNXZFljhvZ8LN51110XmUxmjT8OOOCAzvvPPffcNd7b09m3q+rTyMFzzjkndt9999h9991j/PjxMWvWrNhyy3Xb7SWfz8dJJ50U+Xw+vvrVr8Y111wTy5YtW2u7+fPnx1FHHRXZbDZ22WWXuO+++wpGNu61115x4oknrjYicFXt7e3x2c9+NpIkiREjRsTDDz8ckyZN6rx+8MEHx2c+85m4/PLLY/r06XHjjTfG1KlT1+l9AQAAAKhcT85aHr9/bnHB+eXZng8q22WXXeKrX/1ql9d++ctfxjPPPBPvf//7C65NmTIlJk6cWHB+1KhRPe57pT6Fg+edd15fmq3RJZdcEk888US84x3viC9+8YtxzTXX9Kjd//t//y8WLFgQQ4YMiTvuuGONU54HDRrU5fnbb789Xnzxxc7nrRoMrnThhRfGz3/+81i0aFFceOGFwkEAAACA9dSby9vj+9Ne7fJaW77n6xHusssuscsuuxQ+o60tfvCDH0RdXV1MmTKl4PrUqVNj//3373E/azIgdteYPXt2nHPOORERceWVV3Yb4r3dokWL4qabboqIiGOPPTa22GKLPvV/xx13dB53F/oNGTIkjjzyyPjRj34Uzz77bLzwwgux7bbb9qk/AAAAAEorn6TR3JaPfBKRpGnkk7TzOEkicknaeZzvuL7yOOm4d+XxwqZcv9Z6xx13xIIFC+IjH/lIv+79ETFAwsFTTjklmpqa4rjjjutV6nnPPfdES0tLREQccsghneebm5s7dxoeP358ZNaySuT06dMjIuId73hHbLTRRt3et99++8WPfvSjiIh4+OGHhYMAAAAAFaA9n8TRVz4Xs97MlqS/HzzwWhyy69jYfGxjn9pfffXVERFx4okndnn9T3/6UzzyyCNRU1MT22yzTRx44IExbNiwPvVV9nDw5ptvjnvvvTdGjx4dF110Ua/a/vWvf+083mmnneKxxx6Ls846K373u99FkqzYbXfcuHFx5JFHxtlnn91l0rp8+fJ45ZVXIiJiu+22W2N/q15/7rnnelUrAAAAAOXR2p6WLBiMiLjxz3Pihj/PibMP2SI+vMsGvWo7e/bs+N3vfhebbbZZHHzwwV3e8/Z1CkeNGhWXXHJJHH/88b2udZ13K14XixYtis9//vMREXHBBRfEuHHjetX+2Wef7Tz+wx/+EHvuuWdMmzatMxiMWLFhyQ9/+MPYZZdd4qmnnip4xquvvjU/fLPNNltjfxMmTOg8XhkoAgAAADCw1dWueVZpseXTiCSN+Ppds+OVhb0LJa+99tpIkiSmTp0atbW1q13beeed4yc/+Um8+OKL0dLSEi+99FJcdtllkclkYurUqXHXXXf1utayjhz8whe+EHPnzo3/+q//ipNOOqnX7RcuXNh5/KlPfSoymUx84xvfiOOPPz7Gjx8fM2fOjAsvvDCuu+66mDNnTnzkIx+Jp556KkaMGNHZbtUdkdc2/HLo0KGdx8uXL+91vQAAAACUXmN9TfzyMzvEz/4yt6jPzWQinn61Kf41tyW62oYkExF3PrkgTj1w0x49L0mSuPbaayOTycT//M//FFw/7LDDVvs8ceLEOPXUU2Py5Mlx0EEHxVe+8pXVlt7r0TukadrzLVS6MWvWrNhyyy0jYsVWytddd91a2/zpT3+K/fffP2pra+OJJ56Id77znatdnzhxYsyePTu22GKLmDVrVpfP2HrrrePf//535+cbbrghjjvuuIL7PvnJT8aPf/zjiFgxQvGLX/xi57WHHnoo9t1334iIOPvss+NrX/tatzUnSdKZ2B5wwAHxwAMPrPU9AQAAAKheX77txXjgmUWRdJGw1WQiDtxhdHzzo1v16Fn3339/vP/97+9T7rTNNtvEzJkzY8mSJasNjFubsowcbG1tjZNPPjnSNI3Pfe5zBcFgTzU2vrWo4zvf+c4ug8GIiG9+85tx/fXXR2tra/ziF79YLRxc9RltbW1rrXulwYMH96lmAAAAAKrHNz+6VXzzo8V51to2IlmTDTbYIGbOnBnNzc29CgfLsubg+eefH//85z9jwoQJcd555/X5OcOHD+88ft/73tftfWPHjo13vetdERHx1FNPrRYCrvqMtU0Vbmpq6jzu6w4wAAAAAPB2CxYsiDvvvDPGjBlTMH14bZqamuKZZ56JoUOHxgYb9G4DlLKMHPz2t78dEREHHnhg3H333V3eszKIa2pqiptvvjkiIjbccMN473vf23nPhAkTOncsXnWzkK6svJ4kSSxcuDA22mijiIjYdNO35nyvujlJV1bdhGRt/QEAAABAT914443R1tYWxx57bDQ0NBRcX7ZsWbzxxhux7bbbrna+paUlTjrppFi2bFmccMIJUVfXu7ivLOHgypF71157bVx77bVrvPfNN9+Mo48+OiIi9ttvv9XCwR122CFuvfXWiIjI5/NrfM6q11f9RRo+fHhMmDAhXnnllXj++efX+IxVr0+ePHmN9wIAAABAT11zzTUR0f2U4gULFsR2220Xu+++e0yePDk22mijmDt3bjzwwAPx6quvxk477RQXXnhhr/sty7TiYlm5kUhExIsvvrjGe1duXNLY2BhjxoxZ7dree+8dERH//Oc/Y86cOd0+449//GPn8V577dXregEAAADg7R599NF4+umnY4899oiddtqpy3vGjBkTp5xySqRpGvfee29cdNFFcdttt8Umm2wS3/nOd+KRRx6JsWPH9rrvsu1WvDY92a04n8/HxhtvHPPnz48tttgi/v3vf3fuJryql156KbbeeutIkqTL3V5uueWW+PjHPx4REd/61rfiS1/6UsEzmpubY7PNNotFixbF9ttvH88888w6vyMAAAAAlFNFjxysra2NM888MyIiZs+eHV//+tcL7snlcnHKKadEkiQREfGpT32q4J7DDjssttpqxZbS3/rWtzpHGa7qC1/4QixatKjzGAAAAAAqXZ9GDk6fPj1mzpzZ+fnNN9/sDMz22muvgrnRU6dO7XVhPRk5GBGRzWZjr732iieffDIiIo466qiYMmVKbLjhhvHvf/87vve978Vf/vKXiIj44Ac/GPfcc09kMpmC59x7773x4Q9/OJIkifHjx8dXvvKV2GOPPWLRokVx1VVXxW233RYRK6YgP/jgg12OUAQAAACAStKncHDq1Klx/fXX9/j+vsxc7mk4GBHxxhtvxIc//OF44oknur3ngx/8YNx8880xfPjwbu+56qqr4tRTT+3cMOXt9thjj/j1r3/d6y2hAQAAAGAgquhpxSttvPHG8de//jWuvPLK2G+//WLcuHFRX18fG220URxyyCHxq1/9Kn7961+vMRiMiDjppJPiiSeeiJNOOim22mqraGxsjLFjx8bee+8dV1xxRTz88MOCQQAAAACqRlE2JAEAAAAAKk9VjBwEAAAAAHpPOAgAAAAA6ynhIAAAAACsp4SDAAAAALCeEg4CAAAAwHpKOAgAAAAA6ynhIAAAAACsp4SDAAAAALCeEg4CAAAAwHpKOAgAAAAA6ynhIAAAAACsp4SDAAAAALCeEg4CAAAAwHpKOAgAAAAA6ynhIAAAAACsp/5/zZsY6zo1DgcAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1500x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(train_data, figsize=(15, 6), color=(0.2, 0.5, 0.8))\n",
    "plt.title('Train Missing Data Matrix')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff495565",
   "metadata": {
    "papermill": {
     "duration": 0.020132,
     "end_time": "2024-04-05T12:41:54.526617",
     "exception": false,
     "start_time": "2024-04-05T12:41:54.506485",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**We seek to find the pattern of missing values** in the data using mnso plot, but i have an idea to make the plot easier to interpret.\n",
    "\n",
    "Since we have 3 data types of features, lets **plot a msno for each data type. **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "77225fda",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:54.572098Z",
     "iopub.status.busy": "2024-04-05T12:41:54.571446Z",
     "iopub.status.idle": "2024-04-05T12:41:54.578250Z",
     "shell.execute_reply": "2024-04-05T12:41:54.577451Z"
    },
    "papermill": {
     "duration": 0.031355,
     "end_time": "2024-04-05T12:41:54.580487",
     "exception": false,
     "start_time": "2024-04-05T12:41:54.549132",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "categorical_features = train_data.select_dtypes(include=['object'])\n",
    "int_numeric_features = train_data.select_dtypes(include=['int64'])\n",
    "float_numeric_features = train_data.select_dtypes(include=['float64'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "360b889a",
   "metadata": {
    "papermill": {
     "duration": 0.016752,
     "end_time": "2024-04-05T12:41:54.614973",
     "exception": false,
     "start_time": "2024-04-05T12:41:54.598221",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### Int features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ecc315d8",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:54.651312Z",
     "iopub.status.busy": "2024-04-05T12:41:54.650695Z",
     "iopub.status.idle": "2024-04-05T12:41:55.595041Z",
     "shell.execute_reply": "2024-04-05T12:41:55.593790Z"
    },
    "papermill": {
     "duration": 0.966718,
     "end_time": "2024-04-05T12:41:55.598909",
     "exception": false,
     "start_time": "2024-04-05T12:41:54.632191",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WZGpqSkePHtUZGoMxxhhjjDHG2PfB2NAFYIwxxhhjjH0ZJycnqlmzJq1bt44iIyMpISGBmjdvnurP//rrr9SxY0fKli0blSxZkurVq0c///wz5cqVi4g+NDwOGjSI/Pz8aO3atVS5cmVq1KgRtW/fXgYVfIybm5vW7w4ODkREstFJCSDIkyeP1nIZMmSQy35KkSJFqHDhwrR+/Xo5zve6devI0dFRq9H01KlTNH78eDp9+rROEERoaGiq1udjgoKCiOhDo2VKQkNDycHB4ZPbPTU+d9/v3r2bJk+eTJcvX6aYmBg5PbWNpIqcOXOmetnWrVvTmjVraM+ePdStWzeqUaPGZ/0ttUePHpGRkZHOseLq6kr29vbyWPqScqYk6fFL9OEYTk2jqXI8VK9ePdn5SgBFSueAMk3deBwUFEShoaHk7Oyc7He+ePFC6/cv3QYajYbGjBlDHTt2pB07dlCTJk2+6HvUsmbNqnOs2dnZUbZs2XSmEf3vGvHy5Ut69+4dLVmyhJYsWZLsd3/Jet+7d4+IiAoXLpy6FUiGh4cH1axZU2f651wLoqKiaNq0aRQQEEBPnz7VCtT4GgFNyUm6fVJ7rJqZmdH06dNp8ODB5OLiQuXKlaMGDRrQzz//TK6urt+krIwxxhhjjDHG9IsDBxhjjDHGGEvH2rZtS127dqXnz59T3bp1dXrPfkzLli2pcuXKtH37dvrzzz9pxowZNH36dNq2bRvVrVuXiIhmzZpFnTp1oj/++IP+/PNP6tevH02bNo3OnDlDWbNm/ej3q3u1qn2tXsyK9u3b04gRI+jChQuUNWtWOnLkCHXv3p2MjT+87ty7d49q1KhB+fPnJz8/P8qWLRuZmprS3r17afbs2bL3b3JSalhPSEjQ+l35jhkzZqQ4lrzSozw12z01UrvvT5w4QY0aNaIqVarQggULKFOmTGRiYkIBAQFamRpS41M9udVev35NFy5cICKiGzduUGJiIhkZ/bekd6kNdPiccqbkvxy/yvGwevXqZBtVlWPzcyQmJpKzszOtXbs22flOTk5av/+XbdCuXTuaNGkSTZw4kRo3bqwzP7XnhSKlbfmpbaxsx/bt26fYEF+kSBGt37/Gvv8vPuda0LdvXwoICKABAwZQ+fLlyc7OjoQQ1Lp1649el1IjpX2RdPt8zrE6YMAAatiwIe3YsYP2799PY8eOpWnTptHhw4epePHi/6m8jDHGGGOMMcYMjwMHGGOMMcYYS8eaNGlC3bt3pzNnztDGjRs/+/OZMmWiXr16Ua9evejFixdUokQJmjJlilYDtoeHB3l4eNCYMWPor7/+oooVK9KiRYto8uTJ/6ns2bNnJyKiu3fvavWCff369Welwm7Tpg2NHDmS1q1bR9mzZ6eEhAStYQp27dpFMTExtHPnTq1e5ElTuydHyXzw7t07relJe7jnzp2biD70zk2uF3JSqdnun5Lafb9161YyNzen/fv3k5mZmZweEBCgs+znZiD4mN69e1NYWBhNmzaNRo4cSf7+/jpDDaRW9uzZKTExkYKCgqhAgQJyekhICL17904eS/qW0vZSjgdnZ+ePHg/qcyCppNNy585NBw8epIoVK37zxnEl64ASNJRUas+L/8rJyYlsbGwoISEhVedVain7559//vmq36v+7tRcC7Zs2UIdO3akWbNmyWnR0dE62/Vj56WDg4PO8rGxsRQcHPxZ5f3UsapefvDgwTR48GAKCgqiYsWK0axZs2jNmjWp+nuMMcYYY4wxxtKu/9bdgzHGGGOMMWZQ1tbWtHDhQvLx8aGGDRum+nMJCQk6qbCdnZ0pc+bMMpX9+/fvKT4+XmsZDw8PMjIy0kp3/6Vq1KhBxsbGtHDhQq3pv/3222d9j5ubG1WuXJk2btxIa9asoZw5c1KFChXkfKVXc9I04Mk1nCelNKodP35cTktISNBJm16yZEnKnTs3zZw5k8LDw3W+5+XLl/Kzn9ruqZXafa/RaEgIodUD+eHDh7Rjxw6dZa2srHQaIb/Eli1baOPGjeTr60sjRoyg1q1b05gxY+jOnTtf9H316tUjIiJ/f3+t6X5+fkREVL9+/f9U3i9lZWVFRLoN6F5eXmRra0tTp06luLg4nc8px0PmzJmpcOHCtGrVKq3j5tixY3Tt2jWtz7Rs2ZISEhJo0qRJOt8XHx//VfabWvv27SlPnjw0YcIEnXmpPS/+K41GQ82aNaOtW7fSP//8ozNf2Y6fq0SJEpQzZ07y9/fX2W7/NSNKaq8FRB/WL+nfmzdvnk62gJSOM6IP+0K9H4iIlixZkmLGgaRSe6xGRkZSdHS0zt+2sbH5KvcDxhhjjDHGGGOGxxkHGGOMMcYYS+c+NpZ2SsLCwihr1qzUvHlzKlq0KFlbW9PBgwfp/Pnzsvfr4cOHqU+fPtSiRQvKmzcvxcfH0+rVq2Vj3n/l4uJC/fv3p1mzZlGjRo2oTp06dOXKFQoMDCRHR8fP6v3evn176tatGz179oxGjx6tNa927dpkampKDRs2pO7du1N4eDj9/vvv5Ozs/MleuYUKFaJy5crRyJEj6c2bN5QhQwbasGGDTkCFkZERLV26lOrWrUuFChWizp07U5YsWejp06d05MgRsrW1pV27dqVqu3+O1Oz7+vXrk5+fH9WpU4fatm1LL168oPnz51OePHno6tWrWsuWLFmSDh48SH5+fpQ5c2bKmTMnlS1b9rPK9OLFC+rZsydVq1aN+vTpQ0QfgkGOHDlCnTp1opMnT372kAVFixaljh070pIlS+jdu3fk6elJ586do5UrV1Ljxo2pWrVqn/V9X0uxYsVIo9HQ9OnTKTQ0lMzMzKh69erk7OxMCxcupA4dOlCJEiWodevW5OTkRP/++y/t2bOHKlasKANkpk6dSj/99BNVrFiROnfuTG/fvqXffvuNChcurNXw7OnpSd27d6dp06bR5cuXqXbt2mRiYkJBQUG0efNmmjNnDjVv3vyrrZtGo6HRo0dT586ddeal9rz4Gnx9fenIkSNUtmxZ6tq1KxUsWJDevHlDly5dooMHD9KbN28++zuNjIxo4cKF1LBhQypWrBh17tyZMmXKRLdu3aLr16/T/v37v7i8qb0WEBE1aNCAVq9eTXZ2dlSwYEE6ffo0HTx4kDJmzKj1nR87zry9valHjx7UrFkzqlWrFl25coX2799Pjo6OqSqvra1tqo7VO3fuUI0aNahly5ZUsGBBMjY2pu3bt1NISAi1bt36i7cXY4wxxhhjjLG0gwMHGGOMMcYY+wFZWlpSr1696M8//6Rt27ZRYmIi5cmThxYsWEA9e/Ykog+NtV5eXrRr1y56+vQpWVpaUtGiRSkwMJDKlSv3Vcoxffp0srS0pN9//50OHjxI5cuXpz///JMqVapE5ubmqf6e5s2bU9++fSkmJkZrmAIionz58tGWLVtozJgxNGTIEHJ1daWePXuSk5MT/fLLL5/87rVr11L37t3J19eX7O3tqUuXLlStWjWqVauW1nJVq1al06dP06RJk+i3336j8PBwcnV1pbJly1L37t2JKHXb/WurXr06LVu2jHx9fWnAgAGUM2dOmj59Oj18+FAncMDPz4+6detGY8aMoaioKOrYseNnBw707NmTYmJiKCAgQAZ/ZMyYkZYsWUI//fQTzZw5k4YNG/bZ67F06VLKlSsXrVixgrZv306urq40cuRIGj9+/Gd/19fi6upKixYtomnTplGXLl0oISGBjhw5Qs7OztS2bVvKnDkz+fr60owZMygmJoayZMlClStX1mqMb9iwIa1fv558fHxoxIgR5O7uTitWrKCVK1fS9evXtf7eokWLqGTJkrR48WIaNWoUGRsbU44cOah9+/ZUsWLFr75+7du3p8mTJ9O9e/d05qX2vPivXFxc6Ny5czRx4kTatm0bLViwgDJmzEiFChWi6dOnf/H3enl50ZEjR2jChAk0a9YsSkxMpNy5c1PXrl3/c5lTcy0gIpozZw5pNBpau3YtRUdHU8WKFengwYPk5eWl9X0fO866du1KDx48oGXLltG+ffuocuXKdODAAapRo0aqy5uaYzVbtmzUpk0bOnToEK1evZqMjY0pf/78tGnTpq8SSMYYY4wxxhhjzPAE/msePsYYY4wxxhj7it69e0cODg40efJknewBjP0oihUrRk5OTnTgwAFDF4UxxhhjjDHGGGM/gM/LD8kYY4wxxhhjX1FUVJTONGUc+6pVq+q3MIwZQFxcnE6K/6NHj9KVK1f4HGCMMcYYY4wxxpjecMYBxhhjjDHGmMGsWLGCVqxYQfXq1SNra2s6efIkrV+/nmrXrv2fxhlnLL14+PAh1axZk9q3b0+ZM2emW7du0aJFi8jOzo7++ecfnfHuGWOMMcYYY4wxxr4FY0MXgDHGGGOMMfbjKlKkCBkbG9Ovv/5K79+/JxcXF+rfvz9NnjzZ0EVjTC8cHByoZMmStHTpUnr58iVZWVlR/fr1ydfXl4MGGGOMMcYYY4wxpjeccYAxxhhjjDHGGGOMMcYYY4wxxhj7gRkZugCMMcYYY4wxxhhjjDHGGGOMMcYYMxwOHGCMMcYYY4wxxhhjjDHGGGOMMcZ+YBw4wBhjjDHGGGOMMcYYY4wxxhhjjP3AOHCAMcYYY4wxxhhjjDHGGGOMMcYY+4Fx4ABjjDHGGGOMMcYYY4wxxhhjjDH2A+PAAcYYY4wxxhhjjDHGGGOMMcYYY+wHxoEDjDHGGPvPEhMTDV0ExhhjjDHGGGOMMcYYY4x9IQ4cYIwxxtgXCwwMpMTERDIyMuLgAcYYY4wxlioADF0ExhhjjDHGGGNJcOAAY4wxxr7IxIkTqX79+jR8+HAOHmCMMcYYYymKj48nov9lqRJCGLI4jDHGGGOMMcaSwYEDjDHGGPtsCQkJ5ObmRhkyZCB/f38aMWIEBw8wxhhjjDEdCQkJZGxsTOHh4TRw4EDasWOHoYv0wzh//ryhi8AYY4wxxhhLRzhwgDHGGGOfTaPRUJs2bWjBggXk4OBAM2fO5OABxhhjjDGmQ6PRUFRUFNWoUYPmzZtHQUFBlJCQYOhiffeGDx9OZcuWpd9//93QRWGMMcYYY4ylE8aGLgBjjDHG0iczMzNq1KgRAaB+/frRzJkzKTExkaZPn04ajUYGETDGGGOMsR+P+llw2bJlFBQURKNHj6bevXuTRqMxcOm+b9HR0XI4iLFjx5IQgry9vQ1cKsYYY4wxxlhaJwDA0IVgjDHGWPoSHx9PxsYf4g8jIiJozZo1NHToUDIxMaFOnTrRr7/+ysEDjDHGGGM/qISEBNJoNBQbG0tv3ryhQYMGUVBQEJ09e1Zmp+JnxG/r7du3tHDhQhozZgxlyJCBfH19OXiAMcYYY4wx9lGccYAxxhhjn0UJGoiIiKDx48fTmTNn6M2bNxQeHk5ERL///jsZGRnR9OnTuWKYMcYYY+wHpAxPUKlSJSpYsCA9ePCAvLy8yMjIiGJiYsjMzMzQRfzuOTg4UI8ePSgxMZHGjRsnhxXr1q2boYvGGGOMMcYYS6M4cIAxxhhjqZaYmCiDBqpVq0a3bt0iT09P+uWXXygkJIT27t1LV69epdmzZ5MQgnx9fTl4gDHGGGPsBwFApsg/deoUPXnyhP755x+Ki4ujvHnzEhFx0IAeKIG+GTJkoD59+lBsbCxNnjyZpk6dSomJidSjRw9DF5ExxhhjjDGWBvFQBYwxxhj7LPHx8dSuXTvavHkzjRkzhsaOHUsmJiZERPTo0SPas2cPjRs3jt6+fUuDBw+madOm8bAFjDHGGGPfoefPn9OVK1do//79NGnSJLKystKav2XLFpo5cyadO3eOMmfOTGvXriVPT08DlfbHoM4ONm/ePDp58iS9f/+eTp48SUIIypw5M40bN466du1q6KIyxhhjjDHG0hjOOMAYY4yxFCXX2H///n06ceIEFS5cmIYOHUomJiYUFxdHJiYmlD17dmrfvj0ZGRnRiBEjaMGCBZSQkEC//vorBw8wxhhjjH1HNm7cSMuWLaMjR45QQkICmZmZ0fjx48nc3Fw+8zVv3pwSEhJo5syZdOnSJVq5ciVlypRJZh9gX5c6O1iNGjXoxo0b5OHhQXXr1qUcOXLQ2bNnKSgoiEaPHk1CCPL29jZ0kRljPzB1lhrGGGOMpQ0cOMAYY4wxHYGBgVS2bFnKkCGDzsv806dP6fnz51SxYkWysbEhADLjABGRra0tNWjQgHbt2kWBgYG0atUqMjY2pqlTp5JGozHE6jDGWLrw6tUrcnR0NHQxGGPsk3x8fGjWrFkEgMaOHUvly5en4sWLk7m5ORGR1lBVrVq1IiMjI5o0aRKtXLmSrKysqH///pQnTx4Dr8X3x8jIiOLi4qhNmzZ07tw5GjduHI0dO1Y+g1+8eJHWr19Pfn5+NGrUKALAmQcYYwaRkJBAGo2GAFBcXJwMfDI2NuYOB4wxxpgB8R2YMcYYY1p8fX2pfv365OvrS+/evSMhBKlHNrK0tCQiomvXrtH9+/eT7SGQNWtWatiwIRERxcXF0YwZM2jixIn6WQHGGEuHFi5cSP369aPbt28buiiMMfZRw4YNo4kTJ1KZMmVo3759NG7cOKpVqxY5OjpSQkKCXE79/xYtWtC4ceOoYMGCtGDBApozZw7dvXvXEMX/7l26dIkOHz5M5cuXp2HDhpFGo6GYmBgiIipZsiQNGjSIhgwZQq9evSIfHx9avHixgUvMGPtRxMfHy381Gg1FRkZSv379qGbNmlShQgXy9vamGzducNAAY4wxZkB8F2aMMcaYFBsbSw4ODpQ1a1ZavHgxTZs2jd6+fUtCCEpMTCQiopw5c1Lp0qXp8ePHdOnSJSIiOY/oQ6AAEVGePHkoT548NHLkSHJ3d6dWrVrpf4UYYywdWLx4MfXu3ZuePHnCFaWMsTTN39+fZs6cST/99BPNmzePKlWqJOcpvUeJiHbt2kUbN26kt2/fyvnNmzen8ePHawUP3Lt3T+/r8L1RB/gSET1+/JgiIyOpYsWKZGlpKYeRUGTOnJk6dOhAJUqUoOfPn5Ovry8tXbpU38VmjP1AtmzZQkRExsbGFBsbK4dUqVatGs2fP58uX75Mt2/fplWrVlHFihXp4MGDBi4xY4wx9uPiWinGGGOMSaamptSuXTuaOnUqOTg40G+//Ua+vr709u1b2Zjl7OxM1apVo6ioKOrSpQudP39ezlMPW7Bjxw6Ki4ujzp0706VLl6hgwYIGWy/GGEurFi1aRD179iRPT0+aMmUKubu7G7pIjDGWrDNnztDMmTMpc+bMNHbsWK1nu8TERBk0sGnTJho5ciSNHz+eli5dSu/evZPLqYMHli5dSpMnT6YHDx7oe1UkpferOjtCehIfH09CCBm4S/S/IN4LFy7Q27dvkx0qzMPDgypUqEAA6NmzZ9StWzdavXq13srNGEtZbGysoYvwVU2aNIlatmxJnTt3JqIPdQ5RUVHUqVMnun79OvXq1YtOnz5NBw8epDZt2lBoaCg1bdqUdu/ebeCSM8YYYz8mDhxgjDHGmBZra2v66aefaNKkSeTs7Ezz5s2jadOm0Zs3b+Qyvr6+1LhxYwoLC6OaNWvS7t27KTg4WA5bsGTJEtq6dSuVLVuW7O3tycrKylCrwxhjadbChQupV69eVKlSJZo8eTJVrlyZiHR7jzL2X/DxxP4r5Rg6e/YsPXv2jKZMmUIlSpTQWkYJIt2+fTuNGzeObt26RY8ePaK5c+fSsmXLdIIHJkyYQBkzZqRdu3bJYbD0LSEhgYyNjSk8PJw6d+5My5YtM0g5vpRS/oiICCpbtiz17t2biIhKlChBbm5udO/ePRmUoQ6MUIYtKFWqFJUoUYK6d+9O9vb2VKZMGf2vBGNMy6FDh2jGjBn06tUrQxflqylfvjw5OjrSypUr6ZdffiEiooiICDp58iT98ssvNH36dCpUqBCVL1+e1q5dS/369aPw8HBq06YN7dmzx8ClZ4wxxn48HDjAGGOMMUnpdWVjY0ONGzemQYMGkZ2dHa1du1YOW6BYtmyZDB5o3bo1NW3alHr16kX169enHj16EACaOHEimZqaGmp1GGMszVKGJ6hcuTJNnTqVKlasSEQfGuiSNvRywy/7EkpDoRLUp+DjiX2J0NBQ2bBesmRJItI9ljZu3EgDBgygR48e0caNG2nkyJH09u1bmj17Ni1fvlzrObJp06Y0f/58OnfuHLm4uOhvRVQ0Gg1FR0dT7dq1ac2aNfTo0SP5LJweaDQaiomJoSZNmtCNGzcoIiKC4uPjyc3NjYoVK0aPHz+mnj170rt372TWAfWwBYGBgRQbG0ujR4+mu3fvUr58+Qy5Ooz98A4dOkS1atWi9evXawXtp3c1a9akrVu3krOzM61YsYJ69uxJV65cIUtLSxozZgxZWVlRYmKifG7x9/enAQMGUEREBLVu3ZozDzDGGGN6ZmzoAjDGGGMsbYiPj5e9lkaPHk2XL1+moKAgevfuHcXExNCaNWvIyMiIRowYQQ4ODuTg4EDbtm2jAQMG0P79++ns2bN09uxZMjMzo7Jly1JAQADlzZvX0KvFGGNpztKlS6lnz55UrFgx8vX1pfLlyxPR/4IGlJ67K1eupKJFi1KxYsUMWFqWHin39JiYGNq8eTO9fv2aYmNjqWPHjpQhQwYyNuaqAJZ6QggyNzeXjdIFChSQ0xWJiYkUHBxMjx8/pgMHDlCNGjWoXLlyFBoaSitWrCA/Pz9KTEykPn36kJmZGQkh6KeffjLI+iQmJsrr7Nq1a+nGjRs0duxYGjFiRLo4NxISEmQgwJEjR+jcuXM0ZMgQGj16NBkbG5OxsTEtXryYbt68SefPn6c6derQ8uXLyc3NjaytrYmI6Pfff6dDhw5Ry5YtycnJSW4PxtKjuXPnkqOjI7Vt29bQRfliBw8eJC8vLypQoAD5+Ph8d+/RlStXpk2bNlHLli1p8eLFdPbsWYqJiaH4+HitZ1/l+ubn50dEH4II2rRpQxs3bqR69eoZchUYY4yxH4YAdzdgjDHGfnhKBWpERAR5enpSUFAQeXp6UqNGjSg6OppWrVpFQUFBlJCQQD179pTBA4r79+/TvXv36OXLl5QrVy5yd3enjBkzGnCNGGMsbbp+/Tp5eHgQEVGDBg3Iz8+P8uTJQ0T/a+wlIpowYQJNmDCBhg8fTj4+PrKHKGPJefv2rbwvqwMB69evT8ePH5fL5c+fn/r27UvNmzcnJycnQxWXpTOJiYn0/PlzKlSoEIWGhtKxY8fk0CpqUVFRFBISQjly5JDHYXBwME2ZMoUWLFhApUqVou3bt1OWLFkMsBYfKM+8MTEx9PTpU5o1axadPHmSLl26RBqNRiuoIC0CQEIIioyMpPPnz9P169dp5syZdP36dbKwsKDExEQCQBqNhq5evUotWrSgoKAgypUrFxUrVowqVKhAFy5coO3bt5ODgwMdO3aM3N3dDb1ajH2x/v3707x582jMmDE0bNgwGRyTnihBA+7u7nJIQKL/ne/fk2PHjlGLFi3o1atX5OLiQkeOHKH8+fNrPQOrg6MGDRpE/v7+RES0b98+ql27tqGKzhhjjP0wOHCAMcYYY0T0oaHh559/pg0bNtC4ceNo1KhRcpiBJ0+e0KZNm8jPz4/ev3+fbPAAY4yx1PHz86NRo0ZRbGwsderUifr27UvFihWTlcMTJ04kHx8fqlOnDvn6+lKRIkUMXGKWlg0cOJCCgoJo3rx5lDNnTiIiioyMJC8vLzp16hTVqVOH6tSpQ7t376a//vqLLCwsqG/fvtS9e3eDpYhn6U9cXBzVqVOHjh8/TosWLaIuXbp8tJEdAMXHx5OJiQn9/fffVLp0aWrZsiWtW7dOzyXXFR0dTRUrViRHR0d68+YNlShRghYvXkwxMTHpIkgrLi6OSpUqRUFBQVSwYEGysrKiY8eOaTW2KZ49e0adOnWiy5cva42Z7uHhQRs2bJDZIxhLjwYOHEhz5syhZs2a0eTJk9PlcBvqoIFp06ZRkyZNiOh/Q8GoAwfSWyBBSveIY8eOUevWrSkkJITq1q1Le/bsISLtgAH1/7t160ZLly6lGzduUP78+fW3AowxxtgPKu2GUTPGGGNMrx4+fEinTp2iggUL0tChQ8nU1FSO85o1a1bq3LkzDRkyhExNTWnlypU0depUOfaiMh4hY4yxlCnX1EGDBtGsWbOIiGjFihU0Z84cun79OhERTZ48mXx8fKh+/fo0bdo0DhrQg5Ri6dNDjP2DBw9o8+bNtHfvXho/fjzdv3+fiIh2795N169fp7Fjx9K2bduoX79+tGXLFho3bhxZWlrS7NmzadGiRRQSEmLgNWDphYmJCRUuXJgSEhJoyJAhdP36dTIyMvro+WNiYkJEH1JNm5qaUufOneU8fUnuGfXq1auUmJhIR48epYsXL8oGdTMzszR33kdERFBcXJzWtMjISPL09KTY2Fi6dOkShYeHU2xsrMyYoEhISKDMmTPTjh07aM+ePbRw4UKaPXs27dq1iw4cOMBBAyxdU4IGWrRoQVOmTEmXQQNHjx6l+vXrU86cOWn69OkyaEA5j5UggfPnz9OTJ0/SVdBAQkICGRkZUXx8PF24cIEuXbok53l6etKmTZvI1dWVAgMDydvbm4iINBqNvGar/79kyRIKDg7moAHGGGNMTzhwgDHGGGNE9KHx4fHjx+Tm5kZWVlZERFrjvDo4OFDLli2pWLFi9OLFC9qwYQPNmDGD3rx5o9O7iTHG2P/ExMQQ0YdramxsLBER9e7dm+bNm0dERKtWraKFCxdSr169aNy4cVS/fn2aOHEiFS1a1GBl/lHEx8eTEIISEhLo+fPn9PDhQ3rx4gURUbqooM+ZMyetW7eOihcvTmvWrKFx48bR06dP6ciRI+Ts7Exjxowhc3Nzio2NJVtbW+rVqxeNHDmS7OzsyN/fn4MH2EcpwU5K483gwYOpbNmyFBoaSj169KCgoCASQmg1VhNp9zKdP38+7dy5kxo0aEClS5cmIv2cW48fP6Zdu3ZR7969KSgoSCsgoEyZMjRr1izy8vIiog+BNn/88YcsW1oIHrh58yYFBARQ06ZNadmyZRQeHi7n2dnZ0fjx42nMmDFERPT333/T7NmziYjIyMhI7g8lkMDS0pJKly5N3bt3p/79+1P9+vXJ2dlZ/yvF2FeiBA00b96cJk6cSHnz5pXz0ktA+927d6l69eoUFxdHlSpVopo1axKRbqaBtWvXUo0aNWj16tXyGTKti4+PJ41GQ5GRkdS1a1eqWbMmTZo0iW7evCmXqVy5Mm3YsIGcnZ1p+fLl1KVLFyJKOXiAMyQxxhhj+sOBA4wxxhgjIiJXV1eysrKiJ0+eyEaEpBWnmTNnli/1cXFxNH36dJo7d65OhTFj6c3hw4cNXQT2nbp27RrNmjWLhg0bRgDI1NRUXjPVwQMLFy6kRYsWUaVKlWjKlClUvHjxNNF49T1SN4YaGxtTZGQkdejQgSpVqkQeHh5UuXJlWrVqVZq/tynHR5UqVcjf35+KFClC69ato5EjR9KbN2+oefPmZGJiQjExMWRqakoAyNramn7++WcaPny4VvCAEizBmAIAGRsbU0REBK1cuZIAUIYMGahly5aUOXNmOnXqFPXo0YNu3bqllXlA6WVK9KGX6JQpU8jBwYF8fX3J3t5eL2Vfu3YtdejQgZo0aUJLliyhgIAAmSVLKWf16tWpb9++VL9+fYqLi6NFixbR2bNnicjwwQNLly6ldu3akbe3Nx08eJCCgoIoODhYa5mMGTNSnz59yMfHh4iIJkyYQCtXriQi7eABZV+o14fvLSw9Gzp0qMw0MH36dK1MA+r09leuXDFUEVMlT5481LVrVyL6EEA6f/58evnyJQkh5Hm7fv166tChA+XMmZMqVqwohxFMy5Rnq4iICKpWrRqtW7eOSpcuTT4+PpQnTx6tZatUqUKbNm0iZ2dnCggI0AoeUJ7VuIMCY4wxZgBgjDHGvrHExERDF4H9v5T2RWJiIh4+fIgCBQpACIE1a9bofCYuLg4AsH//fri4uGDixIkoWrQobt68+e0Lztg31KdPHwgh8Mcffxi6KOw7s337dnh4eEAIgfLly2P//v1yXkJCgvz/3LlzYWZmBiEEfvrpJ9y9e9cQxf3u+fr64vHjxwCAmJgYAEB4eDhKlSoFIQTc3NyQP39+CCEghMDYsWPx4sULQxb5k5R7MwAcPnwYRYsWleWvX7++zvLKPT0iIgILFixA9uzZ4eTkhKFDh6b5dWX6Fxsbi5IlS0IIgSdPngAAXrx4gaFDh8LV1RVCCGTLlg2BgYF49OgRACAyMhKhoaHo06cPbG1t4ejoiH/++UdvZR47diwsLS1hY2MDX19fHDt2DJGRkVrLqJ+HDx48iFq1asHIyAjNmzfHuXPnkl1OX0aOHAkTExM4OztjyZIluHHjxkeXf/nyJcaNGwchBFxdXbFq1So5T32fYex7MGvWLAgh4ODggHnz5snp8fHxiI+Pl7+3bt0aNjY2uHbtmiGK+Unqe/egQYPkfXvKlCl4+fIlAGD9+vUQQqBUqVI4ePCgoYr6RaKiolCrVi2Ymppi9OjRiIqK+ujyx44dg4uLC4QQ6Nq1q55KyRhjjLGUcOAAY4yxb6Jz587o0aOH/J2DBwxn0aJFsmJFqVBRV6yo+fr6QggBjUaDPXv2yOnq/de3b1+4u7sjODgY79+//4YlZ+zbGzBgAIQQaNq06Scr5xn7HEuXLoWNjQ1cXV0xY8YMvHnzRudeqG7UmTNnDoyMjCCEQOfOnXHp0iV9F/m7tnjxYgghkDNnTjx79gwAEB0dje7du8POzg7Dhg3Dy5cvERoaivnz58POzg5CCAwbNizNNKirj5/ExETExsYC+FBBr8w7fPgwSpYsCWNjYxQsWBDHjx/XOe7UwQOLFi2CjY0NcuTIIRsrGFNr2rQphBAYPXq0DLh58eIFJk2ahCJFikAIATMzM+TNmxdNmzZF2bJl4ebmJhu8bt26pbeyDh06FEII1KpVC6dOndKap26oU9ZDcejQIdSsWdPgwQPDhw+XQT/qMgCQ5zvwIeBJXbZXr15hzJgxHDzAvntbtmyRge5VqlTBli1bdM7Rdu3aQQiBX375BU+fPjVQSZOnPh/V1yF18MD8+fPlM0upUqVw4MABuVx6qVOZP38+hBD4+eefERERASDl+gfFsWPHkDVrVggh0KdPH30UkzHGGGMp4MABxhhjX1ViYiLu3LkjX3yHDx+uNY/pV48ePeS+qF27NiZMmIDnz59rLZOYmKgVUODt7Q0hBExNTbFx40aEhYXJZRcvXoxMmTKhadOmOpWujKU3StBAy5Ytcfv2bUMXh31HVq1aBSEEKlSogH379mnNS9r4q65I/e233+Q1u3Pnzrh8+XKyn2OfLz4+HlWrVoUQArly5UJwcDAAwN3dHe3bt5cV24p169bJCuy0EDygNDY8fPhQZk0AgPfv36N8+fIYOnSonHbkyBEUL14cQgi0atUKDx480Pk+5XgKDw/HsmXLEBQU9G1XgKU7yjF35swZODk5oUKFClo999+/f4+//voLrVq1gpOTE4QQMvipUqVK8PX11Wuj3dy5cyGEQKNGjXD9+nU5Pel1dtu2bfDz89MJlEkaPHD+/Hm9lR0Afv/9dwghUKdOHZ3yqxsb16xZg/bt2+P+/ftyPqAbPKDOHsbY92Tv3r0yeKBChQrYuHGjnNe2bVvZa119r0wLnj17hs2bN2PlypVymvrapA4eEEKgWLFiWpkG0tNzYKtWrWBtbS0Dx1IbwHTgwAHkzZsXV69e/ZbFY4wxxtgncOAAY4ylAenpJTC19u/fL1961ZXZ3+O6plUREREoUaIEhBCwsrKSvSdz5MiBSZMm4ejRo1rLKz2xHjx4gF9++UXuvypVqqBDhw6oU6cOhBBwcXHhRlaW7qmDBpL2huTrFPsvTp06BScnJ2TJkkWrwjchIeGjw8UokgYPXLly5ZuX+Xun3N/i4+NRvXp1CCHg7u6OEydOoFSpUjKVcXx8vFbl9oYNG9JU8MD169dhY2OD1q1bywbcQoUKwdjYGH5+floBfceOHZPDFrRr1042Mqopxx1f89jHhISEoHz58hBCYNasWckuc+3aNRw5cgQHDhzA4cOHERcXp9fj6vz588iePTtcXFxw4cIFrXnqc3rTpk0oUqQIXFxcMGDAALx69UprWSV4wMzMDLVr19Zb5pdbt26hWLFisLGxwenTp1Ms/+bNm+XQEcWLF8fDhw8B6AYPaDQamJiYYMOGDXopP2P6oL7HqYMHKleujL1798qggS5duuDff/8FkHbubxcvXkT9+vVhbGyMcuXKaT0fphQ80KVLl0+m+E8L1NlcEhIS8Pr1a+TNmxfOzs6fDN5ISEjAvXv3tKYlHVqGpV5KARpp5TxgjDGWfnDgAGOMpQFv374F8On0belBYmKifDFRBw8MGjRIaxn27SUkJGDChAkQQiBv3rzYtGkTvLy8tHoy9O/fH1u2bNF5yYyMjMTEiROROXNmOe62ra0tKlSogJs3bxpojRj7OpRUxq1bt9bq1QdoV34p12bGUkO5t02ZMgVCCMydO1fOS3qNvX//Pk6fPo3ly5fj8uXLCAkJ0ZqvpHhVeoz//fff37z83zslzXdCQoIMHsiQIQNMTU210gAryyg2btwogwdGjBihk7VHn3bt2gU3NzdYWFigU6dOyJcvH8zNzTF58mRZ0a4u+/Hjx1GsWDEIIdC2bdtkgwcYU3wskCQwMBDGxsaoVasW3r17J5f5WC9SfT7vL1myBEIILF68OMVltm3bhrx580Kj0cDW1hY2NjYYOHCgTuaBI0eOoHTp0siQIYPeeizv2LEDRkZG8PHxSXGZLVu2yPLny5cPQgiULFlSZhRRtvfr168xaNAg2NracqAvS/euXr2K33//He/evQOgXV8SGBgogwccHR0hhIC3t7d8pkordQ5Hjx5FtmzZYGZmhk6dOuHKlSs6jePq9VKCm4UQmDZtmsGDFj9GKXd4eLjMkhUaGoqCBQvCxMQER44cAaB7r1A+9+LFC3Ts2FFnaBmWOupjXHmHjYmJwc2bNxEYGIhHjx7JoW142BrGGGOfgwMHGGMA0s5L1Y9o+vTp0Gg0Mh3b9xA8oG54O3PmjHzx7devn5zOx5x+PHr0CI6OjjA2Nsbu3bsBfEi/3KtXL7lfNBoNatSogT/++EMnVfHVq1dx8uRJrFixAufPn9fpmcVYejN48GAIIeDh4SEr4tS9kRVdu3bFpEmTZEUlY6kRHR2N8uXLw9TUVPZiT9pbbM6cOShSpIgMynJxcUHLli11MgssXLhQXqfVQxawz6euTAU+nOuenp4QQsDCwgLLly+X0xVJgwdy5swJIQTGjRtnsMrXsLAwHDt2DIULF4aRkRE0Gg2GDRsm5yvlVz9jJQ0eSG7YAvZjU86PpMe18ntiYiKePn2KKlWqQAiBwMBAvZcxJYmJiQgLC5MZEc6cOSOnq61fvx5ubm4wNzfHjh07sHjxYri6usLa2hqDBw/WaZg7fvw4Hj16pJfyx8fH4+eff4YQQqZcT1r+wMBA5MmTBxqNBocPH8bDhw9RtmxZCCFQunRpnaCgN2/epOnGRsZSY+nSpTLDRrt27WQAoPr8CAwMRKFChaDRaODs7IxFixbJeWmhofTYsWMwNzdH3rx5sXTpUq15Sc9z9TOI8r4ihMDUqVPT5Du4Uv6IiAi4u7tDCIF//vkHAGRdw8iRI+Xyyv5Q7xdliMTDhw/rseTfl4SEBK0AjkaNGsHFxQVCCOTMmRPNmjWTw3OlhXOCMcZY+sCBA4wxrbHN7969myZfSr5nDRs2hBACzs7O8kUrPQcPKJWPkZGR2LNnDzZv3ixT3AshMHDgQLksBw98W8qLoTLeaf/+/bXm79+/HyNGjJCNIRkyZECOHDmwZMkSXLx40QAlZuzbCg8PR+/eveX1aPr06XKeunG3Q4cOMtjp/fv3higqS6fevXsnG2kDAgLk9Pj4eBw6dAidOnWSx5+NjY3sya6Ma5208Wfu3Lky6IuljvIMpZzTyrNGeHg4pk+fLrPmJCQkoGrVqhBCIFu2bHLbpxQ8sGrVKhQqVEg+qxnKq1evkC1bNmg0Gmg0GnTu3Fk+u6ufq1IKHmjYsKFMb86Y4v379yhRogQmTpyYYs/PmTNnQggBLy8vnV76hhQXF4fSpUvDyckJb968AaD7jrF06VIIIWR68JCQEPj6+iJz5sywtrbGgAEDZK9MQ2jSpIlW+ZK+C/7555/InTu37L0bGxuL06dPy4CJEiVKGDQbyvdEfd2PiIgwYEn+m/T+nj1u3DhYWlrC3t4ev/32m84QJOr12717NwoVKiSH2Nu0aVOaGIrnxo0byJUrF+zt7bFu3To5/WN1PUpwBKAbPPD69etvWt4vERcXh06dOsHZ2Rk9e/ZEWFgYgA9ZVJSyL1iwINnPLliwAA4ODqhdu3aaXLe0bMyYMZg0aZLWtIiICJQuXRpCCBQrVgzlypVDjhw5IIRA/vz58fTpUwDpu66RMcaY/nDgAGM/OHUjb9++fZEvXz5MmzaN0zPrgfolVhmPz8HBIV0HD6gjnatVqwYHBwdkzJgRVatWRebMmeXL4+DBg+Vn0nulRnqgHjLi+PHjOvNXrlwJCwsLrSEM8uTJgyFDhuDcuXOyAoD9dxzlb3jPnz/H2LFj5bE+YcIErfnt2rWDEALdunXTS29D9v0ZMmSIbMhZuXIlHj16hAEDBshKbSEEZsyYgePHj+PFixeYPHky8uTJA2trazketbriGNAeBoh92vnz59GtWzcZBBcZGYncuXPDyckJBw8eTHbYgly5cuHJkycAUg4eSAuBRBs3boSNjQ3atWuHwoULw9jYOMXxnJMOW5A9e3aYmprKymPGFFOnTpXXJ1dXV/z888+4evWqVkB5ZGQkypQpA1dXVzl8iqGfaxISEvDixQu4ublBCIFdu3aluKwy7IDy/vvixQtMmTIFlpaWyJcvn07WLX1ITExETEwMfvrpJwghMGvWrBSXVYI1lOtTXFwc/vrrL+TNmxdGRkYyqIB9OfW1f/fu3Rg6dCi2bdtmwBJ9GfV6hISE4NatWzhz5gxiYmLSRIP6pwwbNgxCCDRo0EBmEVGkFCC3d+9eOWxBhQoVsGXLlmSX0wfl702bNg1CCIwdO1bOS1rHEx4ejufPn+PChQsIDQ3VytwI/C94wMjICBMnTkwTQVvqZ9SEhARky5YNnTp1kgGbyn1h1qxZ8r7i4+ODCxcu4O3bt3j37h3GjRsHJycnZMmSBXfu3DHIeqRXJ0+elBmzZs+eLaePHDkSGTJkwJgxY+S95e7duzJbUErPuYwxxlhyOHCAsR+YupG3atWqMDY2hoeHB86ePStTubJvS/1i2KpVq+8ieCAqKgqVK1eGiYkJxowZI6PH//77b/z2228cPPCNJH1RT6pHjx5aKZaVY2/Pnj0yteCiRYuwePFieHl5wdjYGEIIlClThrOQ/AcJCQn4999/8fDhQ5105cxwQkJCZCYOZfxQAGjfvr0cHzW5RjjGUmPfvn0oXry4PL6cnZ1lhoFatWph//79AP53vY6OjpbX6J49exqy6N+F0NBQVK5cGUII9O7dG2fPnkXhwoVhbm4OHx8fREdHA9BOz16jRo2PVqqmtevAlStX8O7dO+zfvx8eHh4wNjZG165dta5byT1DHj9+HPfu3dN3cVk6ERgYiIEDB8LBwQFCCGTKlAnVq1fHgQMHZGPV8OHDIYRAy5YtDVxabcp7lBIMqH4eTnr+JiYmyvP/1q1bsLS0RNOmTfVX2GQoDYxVq1bVOUeTa+hVzu93794ha9asqFatmv4K+51SXzMnT54MW1tbaDQazJo1C6GhoQYs2edRr8eCBQtQoUIFWFtbQwiB6tWrY/78+YiMjASQ9u5tALB48WIIIVC7dm3cuHFDTk9MTEz2PVddnxIYGJhmggeUwERzc3N5Tid9FwwMDESTJk2QJUsWmJubw8PDA1OnTpVBTgolkEIIgXPnzultHT7m/fv3aN26NVatWgV3d3fcvXsXwIfjT72fZsyYIcueMWNG5MuXD9myZZMdFa5fv26oVUi3QkND4e/vD0tLS1hbW8PPzw8AULduXdSsWVN2+lDOjdjY2E8+5zLGGGNJceAAYz8o5WE+IiICJUqUgKmpKfr37y/T8aXFl8jv1fcWPPD777/LcXSTC0BRp60bNGiQnM7H3JcbM2YMevfuLTOFJFdZumnTJgghkDt3bjlm+969e5ErVy6dHk4vXrxAYGAgateubZCX+fXr1xs0XezXsmLFCjRv3hwmJiawsbFBoUKFsHjxYu7pqWdPnjzBrVu3dCrrkgYPKA293bp1k2OA83WJfam1a9eicePGEELAzs4OhQoVQkBAgFavqsTERNmIraTR7tWrl6GK/F3ZsmWL7GHl4OAAExMTTJs2TSvTAPDp4IGkPf/0Lek1SD3mPPDhOX7Hjh0oUqSITvCAYsOGDfDx8TF4z3CWdqR0XCnu3buHwYMHo0yZMhBCQKPRoHbt2li1ahVu3boFR0dH5MqVS2YdSAvGjRsHIQRsbW0/mQ1BPb1Lly4wMzPDzp07ARiuZ/Iff/wBc3NzWFpaYsmSJR/9jLr8/fv3h7GxMZYtW6b1fezzqLfp0KFDIYRApUqV8OeffxqwVJ9PvR5KY7ONjQ2aN2+OWrVqIWPGjHBwcECvXr3ku1ZaOmZCQkJQvnx5WFhY4OzZs3J60qCBqKgo3L9/H69fv9bJlKkOHqhSpQrWrl2rr+JrefHiBfLmzZtsJpRr165h4sSJWtn+bGxsIISAo6Mj+vXrh5cvX2rtm549e+pkSTOkXr16yboFc3NzHD58OMVlN23ahFatWiFz5sxwcHBAmTJlMGLECM7s9h+EhYVhzpw5MDU1hbm5OUaPHo3ChQvL4c3UmWmA1AXJMsYYY2ocOMDYD0wZj0wIgTFjxiQ7ht/Lly/lWJHs2/meggf69OkDIYR8aUmu0l0JLlDGEFekpYqL9OLChQuwsLCAhYUFRo0alWzwAPBhP1SoUAFCCPj7+2PXrl0yaMDf318up94HhmgwUSq52rRpk67HFR0xYgSEEDA1NUXmzJnlUB2urq6YPHkyD/+gJ1u2bEHNmjVRunRpbNu2TeeYTho8ULp0aXncJU0Vz1hqqK+9kZGRuHjxIm7duiV796mpr7fe3t4wMTGRlct8P/wy6u22efNm2NrawsjICCVKlJDDFiSVXKVq3rx5dRrg9U159ktMTERkZCQeP36MFy9e6CwXHR2NP/74A0WKFIFGo0G3bt3kWOcBAQHInDkz3NzcEBwcrNfys7RJfVwBH3ouJhesGRMTg9DQUEydOlUG4QghULFiRTksgK+vr17Lrqact8r6REREwNPTE0II5MyZE7du3dKar1Bfo+fPn48MGTKgSZMmen/fVcqvfi5Rhq6ztbWVgQwKZX+p12fx4sVwcnJCrVq1kr02sM+npFZv1KgRrly5YujifDFfX18IIVC/fn2cOnUKwIehujp27AghBKysrNC9e/c012nk7NmzstzAh2fxpO+0M2bMQMOGDWFra4ucOXOiSZMmOHDggNYygYGBKFKkCIQQ8PLyMtgwQ0oms3bt2uHkyZMAPlx3atWqJa+p3t7eWLx4MU6dOoVWrVrB2toa2bJlk/stufeRtBAI+PTpU9SuXRtCCJiYmGDlypUAUs7WFBsbi1evXuHx48eIi4tLM8dcevb+/XsZPODs7AxLS0sEBAQA0N4PafU5lzHGWNrGgQOM/cDu3LmDzJkzo3Tp0lqNWImJidiyZQu6dOkCZ2dn5M6dW/ZiYN/O9xA8kJiYKINR1q1bl+Jyd+7cQcGCBeULc/fu3fVYyu9LaGgoAgICkCtXLlhZWWHEiBE6wQPKsbNu3TqYm5ujaNGiMkWgely8pJUQ+n6hX7RokVbPi06dOqXL4IGxY8fKdKAnTpzA69evERwcjGbNmskofyWdY1p27NgxQxfhP5kyZQrs7e1lFoGUUnuGhITIQI+kDSHp4brLDCu5ytvExMRkr5/q40n9uTVr1sDIyAhly5aV2S7Yl1O2rVKhrTRyent74+rVq8l+Rl2pqnyuWLFiiI+PN0jltlKeyMhIDBkyBKVLl4a1tTVcXFzg6+srG0UV0dHR2LFjB4oWLQohBMqXL4/27dvD2toa9vb2Ka43+zEk7XkYERGBAQMGoGrVqsiSJQvy5s0LX19f2VClXhYAXr9+jV27dqFatWoyENLOzg7Xrl3T74r8P+WcDA8Px7Rp0/DmzRvExcVh06ZNsqdx/vz5tdKcqz8HfHjmdHV1Rfbs2Q32TBYWFobmzZvL7R4SEiIbdWxtbbF27doUAwLmzp0LFxcXZM6cGbdv39Znsb9b9+/fh7u7O3LkyKFzzXz8+DH+/PNPjBw5EvPmzcOzZ8/SbMNnYGAgXFxcULFiRVy6dAnAh0CgWbNmwcrKCq6ursiaNat8B09LmQf27NkDIQQaNGigNT08PBwnTpyQ71JJf1xcXOQwUIo//vgDZcuWNWgq/GXLliFjxowwNTWFlZWVvEdrNBoULFgQCxYsAPC/bf/69WvUrVsXQggMHz7cYOVOrefPn6NOnToQQsDe3l4+m6T0bPyx39mXCQ0NxezZs2FmZgYhBDp06CDnqfeD+jnXy8vL4M+5jDHG0j4OHGDsB3b8+HGdHt+RkZHo2LEjzM3NYWpqCldXV/lCtmHDBgOW9vvxsQdzdWr/9Bo8oKQK/emnnz7a+6VBgwYyBaoQAiEhIXos5ffl/fv3CAgIgJubGywtLTF8+HAZPKA+3m7duiUDBoQQmDdvnpxn6J4Lp06dQqFChSCEkA3v6TF4YOvWrbCyskK1atXkeau8qL97906mwx89ejSAtFtp0rt3bwghsHfvXkMX5YsMGTIEQgh4enriyJEjn1w+JCQEo0ePlsedOhVoerjuMsNQN6w9evQIZ86cwcuXL+U1K6VjR33e79ixAwUKFIC5uTmOHj36bQv8gzl37hwWL16M7du3o1y5cvKeolybFUmHLYiPj0ejRo1SzFDwrSnHTXh4uCx3jhw54OnpCRcXFwgh0Lx5cxw8eFDrczExMfjzzz9lw6OlpSWKFi2KmzdvGmI1WBqwdOlSvH79GsD/3jHCw8NRunRpmRJbaUBUGhEWLlwoP5+0p+vz589x/vx5tGnTxuDjUsfFxckGK6Xh/82bN/D395fpwTNkyICAgABcvnwZwIcGlhcvXqBHjx6wsbGBk5OTzvVAXxITEzF48GAIIeQ47AkJCfj7779RrVo1CCFgbW2NX375BZs2bcLr16/x77//4urVq2jfvj3MzMyQKVMmg5X/e5D03efIkSNaQ+kp9+rNmzfLfaL8NGzYEEFBQVrLpQVRUVHo1asXNBqNfP6NjY2Fn58frKyskCdPHjx58gTbt2+HnZ0drK2t0bVrVxk8YOj3wfPnz8ttPGfOHAAfnq9GjRoFDw8PCCFgYWGBESNGYOXKlZg6dSqqVq0KIQRq1aqFZ8+eaa1DWhj6zsfHR77jKuf1mDFjZAYC4MN2V67Rs2fPhhAC/fv3N1CJU6YOjFWeVYKDg1GvXj0IIVC4cGF5Xhj6WPoeJZdFAPhQx/Dbb7/B3NxcJwg+ueCB+Ph4/PTTTwZ7zmWMMZY+cOAAYz+I5F5oL1y4IF9e5s6dCz8/P9lLo0KFCjh9+jQeP36MSZMmyTHrlbF42ZdRP+w/ffoU58+fx7Vr17TG5lOPw52eggeUl5IzZ84gR44cyJQpEzZt2qR1zKhfcDw8PDB37lycP3/e4JWP6ZmyTcPDw7F69WrkypULdnZ2GDZsmEy7qn5hnDNnjuyNqBxLhj6m3r9/j549e0Kj0chAJqXyLj0FD7x8+RKNGjWCsbGxTmO1sp/mzZsne8CnVQMGDIAQAk2aNNHprZce/PrrrzLNbNIK9Y/1dnn+/LnWsAUcPMA+Rn1M9OnTRw794u7ujpYtWyY7dmhy6XZz5MgBc3Nz/PHHHwDSVgNEepZ0O+7evVsGKyYXPAB8eC42dM9dpdyRkZHw9PSEiYkJ+vbti1evXgH4kDlI6fFdp04dHDp0SOfzMTExWL16NQ4cOIBnz57pfR1Y2qA0PtWsWVO+Z0RGRqJ58+awsbHBgAED8PjxYwQHB2P58uVo0KABjI2N4eTkhPnz5xu28Kn0yy+/QAiBLl26yOfEt2/fYtmyZShbtqxsZHRyckLt2rVRuHBhZMqUCUIIlCtXTidzh74tXrwYQgh4eHhoDZVw//59NG7cGEIIGBkZQQiBPHnywNXVFRYWFnK/3rlzx4ClT9/U92alofPEiRMQQqB169aIi4vDP//8g+HDh2sNr+fr6wt3d3cIITBx4kRDFT9FYWFh6Nq1KyZNmgTgw3PHunXr4OTkhJw5c8pA/fv378ve77a2tujSpUuaaGSPjY1Fjx49oNFoIIRApUqVZEcWKysreHp64sKFC1qfCQwMRJYsWeDs7CzPibTwLKV+5rty5QrWrl2LrVu3yuNNkTRLVf/+/WFkZIQdO3borawpSTq0zfPnz5Md9iE4OFirFzsHD3x9Sl1CdHQ0li9fjpkzZ2oFhoaGhmLevHkwMzODjY0NZs2aJeclFzzAGGOMfQoHDjD2A1Ae+BMSEmTFo2LGjBla0fMeHh749ddfZe8U4EOPLSEEOnfurNdyf2/UD+njx49H0aJFYWJiAktLS9StWxcrVqyQ81MKHlAa2A3ZiPWpvx0REYGuXbvKBpQtW7ZoHU8AsHDhQtjZ2WHp0qXfsqjfPeWYioqKwoULFzBlyhS0bNlSpmYeNmyYrCxWlr1w4QKyZcsGCwsL2dPB0JUr8fHxqF27NnLmzInTp0/L6ekteOD06dOwt7dHjx49Ulxm586dcoxgIO29vCtBAy1btjR4A9qXOHPmDFxdXeHm5ibTswIfjvGk1664uDidacHBwVrBA5MnT9ZLuVn6pVxzs2bNCg8PD9l7193dHQ8fPgSgfd9UUooqvRfz5csne46nNMQB+7iPPZeoMznt3btXK3hAnWZ9+fLlKFCgAEaMGIGYmBiD7of4+HgMGDAAFhYWGDx4sBxO7O7du3J8ajc3NxgZGcHLy0trbGcOcmKKa9euyR66tWvXxrt37xAaGgonJyf07NlT55nq2rVr6NOnD4yNjVGwYEEcPnzYQCX/NOX8fPToEXLkyIHChQvj8ePHcn5MTAwePnyIX375BQUKFICRkRHMzMyg0WhQrVo1zJ49O00E1cTHx6NSpUo6WQcUs2fPRqdOneDk5ARnZ2dkzZoVjRs3xpo1az6a1Y19nPr6Pnz4cGTJkgVHjx7Fs2fPULhwYRmoYWNjA2NjY9SpUwd//vmn/MyuXbsghECbNm10vi8tePr0qRy7PCIiAjVq1ICzs7MMmFOC+rt37478+fPLTDZJA9H0SX3c//XXX+jQoYNWHVWZMmXg5+cnn6sSEhLkZ0JDQ+W1Tr2f9E19HCj/T+k9T72+6s/9+eefMDc3h4eHh8GzBamHTBo3bhzq1KkDGxsb5M6dG97e3jhx4oRWsIk6eKBo0aIyeICfS/47dUeR+vXrQwiBzJkz49SpU1qddN6/f485c+bA1NQU1tbWKQYPMMYYY6nBgQOMfefUDYsTJ05E9erVdVJPb926FZMmTcLMmTMRHBysk5ZywIAB0Gg0WLt2LYC093KcHqhfmJSx+VxcXNCiRQvUrVsXRkZGsLKy0urhmlzwgLGxscHGEwW0XyD9/f3RrVs3DB8+HOvWrdNa7s2bN3J8vqxZs6JDhw7YvXs3Ll68iFGjRsHR0RHu7u5alXzs86hTGdesWRP29vawtrbWGv7BwcFBa9gChbe3t0zpmHSeoURHR2PPnj3yd2X9jh49+tHggbT0Enzt2jXUrVsX27ZtS3EZJRCrQoUKANJWZYo6aCBpL7z0ct1fvnw5hBDw9/cHoF2xqFi/fj3Gjh0LLy8vNGnSBEeOHNHq6Zc088Cvv/6q13VgaZv6XPjtt99gY2MDb29vhISEIDo6Grdu3UL16tUhhEC2bNlkJbdy/9y9ezeKFCkCZ2dn9O3bF1euXJHfm17Os7RE3QNr48aNGDJkCAYNGoQ5c+Yke31VBw+0adMGe/bswaxZs5AlSxaYmpqmiSwrf//9N7JkyYLq1avLnn13796VDSk9e/bEtWvXUL58eZldRd1YwscRU9y6dUv2Kq5Xrx527NiBnDlz4v79+wCgM7bx9evX0bx5czlsVFoXGhoq36vGjRuX7DJPnjzB2bNncfr0aZw7d07PJUyZcn36/fffZS93RdJ38adPn+LJkyd4/vy5Xsv4vZs7d64MrFF6sV+6dAn169dHoUKFULRoUaxZs0bex5VzRckUsWzZMq3phpbcO9GGDRu0hl9QB9M1atQIdevWxZYtW7B8+XK9lTMpdf2C8jz+5MkT7Nq1C/7+/li2bBnCwsLk+inbW/k9IiICuXPnRpEiRQz2Xqt+3oiOjpbnqlLG1Axddfr0aVSpUgVCCJ26FX1TyhsWFiafNTJmzCgztiiBr5MnT8a7d+/k554/fy6DB0qVKmXwrC7fA+UYCg8PR8mSJWFmZgZvb2+Z2SwpDh5gjDH2tXDgAGPfMXVkas2aNeUD/s6dOxEbG5viS676xWbJkiXIkCEDKlSogODgYL2U+3uj3s7dunWT2Rvu3bsHAHj8+LFsZBdCyNSCgHbwQKNGjSCEwP79+/VXeBX1S4vSO0b5MTIyQvv27bWWf/PmDTp27CjTC6rTbbq5ufHwBF9BVFQUKlSoAHNzcwwfPlxG/V+/fh0DBgyAq6srbGxsdIIHLl26BHd3d2TMmBFnz541SNkDAgLkuHpJX2KV35V/UwoeUPfiSOnl+VtT1kM5z5UePil59OgRLCwsUK1aNTlNvf6GyqowdOhQCCHQqlUrnXNTvZ1DQ0P1XbRUUbZhixYttBr7lf0SExODW7duyd666h9HR0fMmDFDKyNPSEgIBg4cCHNzczk2MmNJe451794dBQsWlOe9uoJYua+rgwcUhw4dwj///JNsuleWeuoAuvr168vUxspPpUqVcPnyZZ0K+3379sHT01Nr+axZsxp0rHD1s+KhQ4eQKVMmGSgaHBwsA7u6dOkil/vtt99k+evVq4fAwEC9l5ulfTdv3pTBA/ny5YO5uTlOnTqV4vJKQ6OjoyNevnypx5Im71ONsseOHYMQAoUKFZIBEcDHG0j02dCbtBxJ//adO3fg5OQEIcRHA08/9h0sdZLeCzw9PVG+fHl5rVX21fv37xEZGakTwAF86A3v4eGBbNmy6aTM1xf1MZWQkIB3795pNd4C/1tXZYi00aNHa80/duwYHB0dMW3atBS/W5/CwsKQK1cubNy4McVl1Me9upzKcBIDBw7U+7CaSQOU582bh+rVq8PW1hZ169bFtGnT5LPex4au2r59O0qXLg0hBPz8/OR0Q57rUVFR8PT0hIWFBQYNGoQ3b94gJCQEJ0+eRJMmTWBjYwNHR0dMnDhRZkYCPgQP1KtXD0IIVK5c+aP1jix1YmNj0aZNGwghMH78eFlfkNL5qg4ecHBw4Ax6jDHGvggHDjD2nVI38hYvXhxmZmbo1auXTiW1+gUm6QP9xIkT4eLiAldXV44W/gp+//132NjYoGnTprKn/cuXLzFkyBAIIVCwYMFkx9ZWBw8oDa2GevmKjo5G9erVodFo0LJlSwQEBGDs2LFwdnaGEAL169fXWj48PBz79u1D//794eXlhYYNG2LChAl48OCBQcr/vVD2v7+/v05jutKT5OXLl5g3bx4yZcoEe3t7DBs2TPbieP36taxEfvTokd7L369fP1kxou75kpyUggfUDdg+Pj4oXbq03ivw1OuhPk/V5U7qzp07EEKgbNmyALR7/qxfvx5TpkzReyaOgQMHyjEplUYCpYFUfY/o3r07fH1903Rj58SJEyGEgLe3t9yOb9++xfz582WPGY1Gg0aNGqFbt26yZ0/GjBm1Ml4AwIsXLzgVMEtWixYtMHjwYFSoUEGOBZ5cr7I6deqkGDzA/hv1c26pUqVkz/t9+/bhzJkzMqtAiRIlcOzYMZ0Go3PnzmHq1KmoUaMGBgwYIIM59SE4OBhXr17FkSNH8Pr1a51gOeBDgJ/SEBQYGCifHxWJiYl49OgRnJ2dUbFiRQgh0Lhx4zQ/pA8zjJs3b6JQoUIQQsDCwkL2ZlUHQynPllFRUShcuDBsbW0Nns4/uWcR9e+JiYmIiYlB69atIYT4aKOjISjljI2NxdOnT+X0pD2m/f39YWRkhMGDB2vNZ9/GmjVrsHv3bri4uGDTpk1yurLd1f+q98WRI0dkRiEl24C+qc+FNWvWoGPHjihUqBAKFSqEvn37yiEvFLt374YQAuXKlZOdDw4dOoSaNWvCzs7OYB0SFMr2HTlyJIQQnwzABrSvW0uWLIGtrS0KFCigt3fac+fOYfPmzTrTlQAGExMTWFlZwdTUFEIINGnSRAbwJ617CwwMRJ8+fWBkZARHR0csXrxYzjdUEIeyT2bNmiWzHCmBAcq2//fffzF8+HDY2toid+7cMuuRsn7Pnj1Ds2bNZFYt9t+cP38e9vb2qFq1qgxo+tTx8f79exk4lDVrVp2hQxljjLFP4cABxr5jMTExaNKkiUzfGBkZqbNM0grGsLAwrFu3DuXKlYORkRGKFCmSJtK2pndv3rxB7dq14eTkJCunX79+LV8wq1evDgBYuHChbBxVp9xM2iipzwol9Qvu/v374eDggNGjR2uV6cqVK8iSJUuywQOKTzUQs8/Xo0cPCCFkQEnS3rCvXr2SFTFubm4YOnSofGk8efKkQc5tpddk8+bNU/33kwse8Pb2RnR0NCZMmAAhBJycnLR6mn1rX7oeN2/elI306v21YsUK2NnZIVeuXHpNRfv+/Xs5dIUQAnPnzpXz1L12lBTZAwYM0OpVktZs2bJFrkujRo0wYMAAFCtWDBYWFrJH4qFDh+T1KzExUY5RX7p0aYOPbc7SjhMnTuD27ds60/ft2wchBDJlygQ7OztMmTIFgPb1V/1/JXggV65cer1G/QhiYmLQsmVLWFhYYMyYMTLrzvv372X2EWWs3eSCB5TvSGkM4m9h0aJFqFy5MqytrSGEQI0aNbBgwYIUG0gTEhLg5eWllf1EeZ4KDg6GpaUlJkyYgI4dO/Lz+g/uU0MfJc08oGTZSXrsRUdHI3fu3HB3d9cav9pQ3r9/j4IFC2LgwIHYsWOH1rykqeOLFSum1UCfFoSHh6Nw4cIoXbo0JkyYgLCwMHkOK9v85MmTyJgxI0xNTTnL0Te2aNEimaUlQ4YMOHDgAICPN8KFhIRg4cKFyJIlC8zMzORwWIDhsleMGDFCNlLnzZsXjo6OydYhPH/+XA55aGNjg7Jly8rl5syZo7eyA/hogHePHj1gaWn50cbNpNt6woQJcHV1RcaMGfV2/7tz5w40Gg2yZ8+OrVu3yukBAQEwNzdH3bp1cfr0ady9exfr1q1DgQIF5HAYSgC/cs3dtGkT3NzcYGxsjLp162oFMBsqaED9d9u0aQMLCwsZzJH0HvP48WO0bdsWQgh06NBB57vS0nB86Z0yrMqKFSsA6A5no6Z+pn337h0WLVrEz4eMMca+CAcOMPYdO378OKytrVGvXj2dB/fTp09jwoQJqFGjBsaOHSvTlUdGRmL8+PGwt7dHnz59UhX1zT4tODgYHTt2xMqVKwF8qESaPXs2TExMUKVKFbncpUuXkCdPHhgZGcHY2FgnraC+qccOvHDhAn7//XfkypVLBqGo0/M9ePAg2eABDhj4+hISEhAfHy97vaxatSrFZYOCgmBubg4hBFxcXNC7d2+t8dz1SWlsb9myZbINch+jHGcHDx6UFV4lS5aEEAIZMmTQ69AX/2U9nj59CktLS5QvX15OCwgIQKZMmeDg4GCQnhnPnj2TQUzqNP+Kdu3aQQiBbt26GSRDRWqo73Hjxo3TGY6gQIECGDx4MIKCggB8qHxUjqlLly7B3t4eHh4eOkFa7Me0c+dOCCHQsGFDrSEsgA+NWL/99pts+FX3AldXuKor7ho0aAAhBFxdXREVFcXBKV/JmjVrYGtri3bt2smAptu3b8trVocOHeR47aVKlUoxeEBfhg0bBiEEzM3NUbp0aXlvdnd3l5XBSQUHByN37tywt7fXqfgdMWIEMmbMiNevX3MF/Q/s1KlTqb6m3Lx5EyVKlIAQAhUrVky2kc7Pz08GRqaFe6KSXcvExARCCDRr1gx79uzRGUKvRo0asLa2lj2o08o5sX37duTOnVveM4oXL44BAwboZPPr3r07hBAYPnw4YmNjeSzqb0Dp4V2hQgX5fLh06dKPfiYkJATVqlWTQWhr166V8wy1j6ZOnSobo0+cOIGEhAQ8ffoUmzZtkuulfjc8ffo0evbsCRMTE2TIkAFly5bFmjVr5Hx9rIfy7hQQEKA1XXlWatSoERwcHBASEvLR8jx+/BibNm1C7dq1ZbCQPhtFg4KC0KVLF5ibm6Nw4cIyy0mPHj2QN29encCfq1evyoAtdfCAYu7cudi5c6dWtjl9PSPevn0bBw8exPr167WGOkpMTER4eDjy5MkDExMTXL58GQkJCcmW68KFC/Jd/MmTJwZ/vv0erptJg1kTEhLke/rHgn2Udf/nn3+07i+G3ieMMcbSLw4cYOw7NmfOHAghtFKexcfHY9CgQciUKZNWo0qdOnXkS1dERARu3ryZJnqZpEcpVVTdvXtXVtA9ePAABQoUQJEiReQLpPK56tWro0iRInLfKA1dhhITE4OCBQsiQ4YMqFSpkgwKUL/UKGW/f/9+ssEDaaXy7nszduxYCCEwatQoOU39cqgEbXh5ecHLywt2dnbInDkzQkJC9F5WdWN70srST43/qlDW5/jx4zL9oyGDBr5kPZ48eQJTU1PUrFkTALBs2TLZc1kZY9UQnj17hqFDh8rrjtKbqn379jqp/w1dAaHezvHx8fJapL5nLVmyBD///DOaNm2Kfv364e7du3KIBaX8ynXpzJkz0Gg08PLy0tcqsDRu7969cHNzw8CBA5OdHxYWhkWLFsHKykpneKGUggdq1aql1eDA/pv4+Hi0a9cOFhYWcuiahw8fygwqXbt2BfAhu1O2bNlkg93x48cN8kyi3Dtq164tx5c/evQoatWqJVMZJycmJgZ169aFmZkZ1qxZI9Mdz58/H9myZUONGjW0hu5hP5ZBgwZBo9GgatWq+OOPP3SGAkuuEeXmzZsoVqyYDKrbs2cPLl++jOjoaEyZMgVZs2aFi4uLwd8/1E6ePIkZM2bI91crKyt4eHhg27Zt8v1Vee+tW7eugUur68WLFzh+/Dhq1qyJzJkzQwgBOzs7DBkyBNu3bwcA/P3338iRIwcKFiyo87zCvp74+HgcPnxYZgPKmTPnJ4c6O3XqFKZPn46rV6/KaYZqoDx//jycnZ1RpEgRrfIAwPTp0yGEwE8//STvM4qYmBhcv34d9+7d08rKoa/1GDVqlBwuTB0opzwnlStXDnny5EFkZGSKx31YWJj8Hnt7e3Tt2tUgAc13796VwwsUKFAAK1euRLFixTBz5kwAukNcqLO9JBc8oKavc37evHkoXLgwjIyM5Ltf69atcffuXfmMpARnKEPbJBUbG4uoqCgUKlQIJiYmuHv3rl7KnhLlWIqJicGBAwewfft2rYCI9EDZ9mFhYWjbti3u3LkD4H+ZUoYMGQJA9xhTzuPY2FiUKlUK48eP5847jDHG/jMOHGDsO7Z161YYGRnB29sbly5dwvbt22UP3Xz58mHr1q0ICAhA8eLFdQIM2JdRv3xfu3YtxcpppcFXaZxTP9gXK1YM48ePx9q1a7F79+5vW+BUePXqFTp27ChfKqtVqybnJW3AA7SDBypVqqT38n6PUhprc+vWrXK/qNMbJiYmah17OXLkQPfu3bFhwwb5AqpPSpR8y5Ytdf6+umHtYwEA6mNt5syZMmhAn71M/ut6xMfH49atWzJbwsKFC+Ho6Kj3oIGnT5/izp07OhUKSYMHlHHDu3XrJhsjDF2JrRwHt2/f1uoJHhYWBmdnZ3Tu3Fln2Y99DwD88ssvWsM0GHodmeEsW7YM8+bNAwCtwKC5c+fqBAq9f/8eCxcuhIWFBSwtLTF9+nQ5L6XgAYCPr88VExOjk5JV2YZXr16VwRjR0dGYPXt2silzBw8eDCMjI5iamiJz5sw6DSrfWv/+/eW9Q7lnKetw+vRp2ZM6aZav+Ph4JCYmws/PDyYmJsiYMSMqVaoET09PmUXo5s2bel0XlnYow6YoP5aWlsidOzeWL1+Of/75R2vZpNcddeYBW1tbWFtbo0CBAjA1NUW5cuX0GpD5sXImvY//+++/mDVrFqpWrSqzEBQqVAhz587FuXPn4OzsDHt7e+zdu1efxU6xvEm9efMGFy5cgLe3NzJkyCD3XefOnbF48WKUK1cOQog0k3EO0B62Kr1T1is+Ph4HDx5EzZo1ZUN70nNGkTTYVD3NEFatWgUhBFavXq013cfHRwbu//3333L6kydPdL5D/V75ran/hq+vrzzmk2bZ8fDwQOnSpT9ZpiNHjmDWrFk4evSoDLAxhKCgIPTt2xdGRkYoU6YMMmXKhPnz5wPQfe4DtIMH6tatK4MHDHEsDR48GEIImJmZoXLlyihYsCCMjY3lMG/Pnj0DADkcYIECBeSwiEqZ1deIPHnyoFixYh9Nn/8tqN9j1UHkderUkc9VQgi0adMGf/75Z7rJRhAZGSmzoiiBAvv375frkzQ7hHq7T5w4EUII+Pr6cscdxhhj/xkHDjD2Hbt27RpKly4tXwyE+DDO+ciRI7VSUypjZo0fP95whf3ONGzYEBkzZsThw4eTfWjv27cvhBBaaQIBYN26dbC0tMT69evltKSNxYYQHByMQYMGyReWZcuWyXnqsinr+uDBAzmmOA938eVS84Kr9GK0tbXVCh5QzJs3DzY2NsnO04chQ4ZACIHs2bN/NLihQ4cOqFKlik7jXFKjR4+GEAIZM2bUa8X211qPhw8fwszMDI6OjsiZMydsbW31GjSwbds2eHl5oUKFCti5c6fO9Slp8ED58uVlqmJ9Vwil5MaNGxBCoESJEnKah4cHzMzMMHLkSFmRpL42JXedAoAFCxbAwsIC5cuX10l7zH4sCxYskBmYXrx4Iacr6eU7duyIe/fuaX0mLCwM8+fPh4WFBSwsLFIMHmCfb+fOnRgzZgxq1KiBRo0a4fDhw8n20lMqi1++fAl3d3eUKlVK9sBXGrx8fX2RM2dO1KpVC6ampjr78VtSAs46duyodc9SX4dKlSqFVq1a4cqVKzh69Cj+/PNPREREyPmxsbEYMWIE8ufPDyEEnJycUK1aNYMEArK04969eyhWrBhMTU3h5eWFZs2ayXt37ty5MXDgQNy6dUsO46HcB5Vrk7ohK1euXFiwYAHu3buHly9fGmR9lHMiISEBUVFRCA4O1hkqRm3hwoVy7HYhBMqVK4fs2bMbrOFduRbFxcXh/v37+Ouvv3D16lWZJSSps2fPwt/fHy4uLvK8VrIRNG3aVA4Lp2/qa9OePXswadIkHDhwwCBl+VKpuf/Gx8fj0KFDqFKlCoQQaNGiRYrBA4aS9Bk9NjYW/fr1gxACR44ckdOVBt769etrpcoPCQnByJEj5ZCUhqJeD2WYBXXwQGxsLDJlyoRq1aqlq8bOoKAg9O7dGxqNBkII9OjRQ85LKduLErBVvnx5g/QIV+oNGjZsiDNnzgD40Onj999/l8EDHTt2BPDhuUrJitSoUSNcunQJgPa6KQGbXbp0QXR0tN7qrEaMGIFJkyZpBY+Eh4ejTJky8n7QtWtX2ZmlVKlS2LBhQ5o9vtTbdOrUqciQIQMmTZok798AMHDgQHmv2Ldvn853LFmyBE5OTihWrFiyAUOMMcbY5+LAAcbSueReStQP7GfOnMGgQYNQvXp19OvXD1euXNEZr7J9+/awtLTEiRMnvnl5fwRhYWGoV68ehBAoXLhwssEDkydPhhACnp6eMj3iunXrUKRIEbi5uem1F3VSyaU9Az40KCqNp5kyZZKpNZN+RlnXhw8fcqX2f6BOt3fo0CH4+/tj1KhRWLdunVYPw+fPn8vxnIUQmDp1Knbu3ImnT59i/PjxyJQpE/Lnz2+wF0h1VoS2bdvi+vXrOuMkKunwu3fv/tEK61OnTiF79uywsbHRe2+4r7UeL1++lGmzM2TIoJNm9FuaMmUK7O3t5dAD586dS3a5Z8+eycoJdU98IG00ht69exe5c+eGEAJVqlRB/vz5YWZmhilTpnzWeMx+fn5wdXWFo6PjJwNW2Pdt4cKFEEKgcuXKOHnypJweHx+Pbdu2oUyZMjA2NsbPP/+sk4o1PDxcBg98LPOAoRk6APFzTJgwQQYfKj+ZMmXC3LlzUzzHly1bJiu84+PjtQKd6tSpg2bNmiE8PFwrRfO3pgSjGBkZYfPmzQD+l0VAeVZ68uQJcufODTs7O1hbW8sGiKJFi+LUqVNyPeLj43H//n3s3r0bd+7c+WiDKvsxJCYm4ueff5YNhu/fv8e8efPQsGFDeRzlyZMHjRs3xtmzZ5MNvFEPW9CyZUu9r4O6sR34MFxer169ULp0aWTMmBGZMmXCsGHDsHPnTvkZdWNbYmIiDh06hHbt2sHNzQ1CCNjY2OilATi5zDLh4eFo166dDGAwMTGBp6cnJk+eLJdNGoR548YNLF26VDYoWlhYGKwBO2kDr52dnQwYTy9DoqjX4fz581i9ejUmT56MDRs26JwDCQkJOHz4sAweaN68eZoJHlAfX0ePHpX/HzFihFavYyWLYdKgAQCYNm0aTExMcOzYMf0U+iNSCh5Yvnw53r17B0tLSzRv3hynT5/GtWvXcPnyZZw4cQLHjh3DoUOHsHfvXsydOzfNZRO5ffu2HDLG3NwcK1eu/Ohnbty4gezZs2tdE/RFqcdRZz9SxMfHY/r06TA2NoajoyP++ecfxMXFYfPmzfIeUaRIEWzbtg0PHjxAdHQ0fH19kTlzZmTJkgX379/X23qcPHlSDnvh7++Pd+/eAQBmzJgBe3t7jB8/Xg5fd+nSJXTq1AlmZmbw8PDA+vXr01zwgFIe5d72yy+/oFy5cnIdlOkvXryQdQ1CCPj4+GDNmjU4cOAAOnfuDHNzczg5OXEmKsYYY18NBw4wlo4pD5lKz4Y9e/bg+vXrchzq1Fi8eDEcHBxQq1YtrSwE7MsoFfOvXr1Chw4dIIRAwYIFdYIHHj9+LMeNs7OzkynBTU1NDdYzPDUNHE+fPpWR6jly5Phk8AD7Msr2Cw8Px08//SQzhig/dnZ2WLdunax8fPr0Kfr06aO1jLm5OYQQyJo1q8FTzgYGBspyNW/eXKuxvG3bthDiw3jUn8pOERcXhzlz5uh93N2vtR6JiYn4999/kTt3bjg7O+s1QEipLKpcubJWL6WUJM088Ouvv8p5aaEx9M2bN7Iiy8jICKNGjZLzPla+t2/f4sGDB2jZsiUsLCzg7u5usPODpQ0pBQ2oxwsNDAyU9+lPBQ/Y2dlh0qRJel0HtaTplN+/f59msoWkhvKMUbBgQSxatAjr169HtWrVIISAo6Mjzp8/n+zndu/eDY1Gg59//llr+qJFi+Dk5IQRI0boo/haLl68KBukLCwsZO8+depvpcd0tmzZMHjwYLRu3Rq5cuWS24CDmlhylOvT3bt3kS1bNuTMmVM23Lx69QqHDx9G7dq1kSNHDgghYGVlhYYNG2LJkiWIiIjQema/du0aKlasqNPo+C3NmTNHNvYo50N4eLi8zipBr0rjkIuLC6ZNmyY/nzQV+Pv373Hv3j307NlTL+fM1KlTsWnTJq1rq7r8BQoUQJ06dZAtWzaZMrtTp04yk0hy70mxsbFYvnw5Hj58+M3Lnxz1s5Py/Fe+fPlke7amVUl77WbMmFHr3ah69eo62f6SBg+0bt1ar5nAkqM+P5WsNX5+fgD+N1RBo0aNZKaBevXq6Zy/Bw4cgKurK6pWrWrQ3scpBS2qgwdmzpyps69S+jFEpwT1+Xrp0iUcO3ZMXr+AD8ED/fv3h5GREQoXLiwDBYHk30nUASz6CupUMlVUqFBB/v2kAfB//fUXMmbMqJUNLzY2Fps2bZLPYUrgu5OTk6wPMkSwzezZs+Hg4AATExP4+fkhMjISjRo1QpUqVbQCLoEPmSH69esHc3PzNBs8EBkZifz586NOnTpwd3fHjBkzAOgeP8+ePZP7Uv1jZGSEsmXLctAAY4yxr4oDBxhLp9Q9M7y9vZEzZ04IIWBvb4/y5ctjy5YtctnY2NhkX0pmzpyJTJkyIXPmzHpviPueKQ/4r169kj3BkwYPxMfH49SpU7KxMXv27KhRo4Zs0NN3z0B17/adO3diwoQJGDhwIKZOnSrHNlc8e/ZMjtebNHggLTQopnfKNoyIiECJEiVgbGyM+vXrY+XKlRg0aBDq1q2r1ZirboBYvXo1evXqheLFi6Nhw4YYNmyYzv7Tp7i4uGQb3Vu3bo1///1XHv/e3t6ysT2lY9+Qx9bXXA/gQw8ofe6X6dOny0rGT417rP49afCAUokBGD44KD4+Hnny5JFl8/T0lGl9Uyrb8+fPUa5cOTg6OkKj0aBx48Z6TVnO0h6lR3ilSpW0ggaSjt8aGxuLvXv3fjJ4QAlCMDY2NsixpdzLIyMjMWXKFNSrVw+FChWCp6cn9u3bZ7AU5KmlBA20aNFCJxuLksmpW7duyV5fz58/D1tbWwghMHz4cGzbtg0DBgyAnZ0dsmfPrtdrbpcuXTBu3DgAwN9//w0vLy8Z0PfXX3/J5ZR7R/v27XH79m0AQFRUFE6ePCmzqjRr1kxv5Wbpz9u3b9G4cWMIITBs2DCteW/evMGrV6+0GnyEEPDy8sK4ceMQFhYmnyH1mTJ7zpw5EEKgWLFiMs10ZGQk2rZtCxsbGwwZMgTBwcEICwvD5s2b4e3tLTMoTJkyJdnv1Od70/bt2yGEQJYsWbBz50657fr06QMbGxuMHTtW9s6/ceMGAgICZApwdWCT+h5j6GcqtRkzZkAIgcaNG2s1Rie3jdPSe5+6LEqv/Pz582PRokXYtm0bOnXqBGNjYxQuXFgrk5by2cOHD8tzpU6dOmmiQ0VAQACsrKzQoEEDee8ICQmR9weNRoN69erpPI+cOnUK1apVg4ODA7Zu3WqIogPQ7uRy/fp1nYw/6uCBjBkz4pdffoG3tzf69OmDQYMGYcyYMZg8eTKmTp0Kf39/gwTSqc9NPz8/uLm5QaPRIDAwUCsDUlBQEPr06ZPq4AFAf9et169fo379+nJbKxlclOEwlfL9888/sLGxQYYMGbSeYePj4/Ho0SOMHTsWJUuWhKurKzw9PTFkyBC9Bzqp94e/vz9sbGxgYmKCX3/9FZ6enli6dCkA3Xva3bt30bdv3zQbPHDmzBnY2trCwsIC5ubmGDhwIICU7w3btm3D5MmT8fPPP2PQoEHYuXMnQkJC9FlkxhhjPwAOHGAsHVL3RlYqsT08PNClSxetsR4XLlwoP6O8ELx79w4XL15E48aNYWJigrx583Jvyy+UtLeL+sH+Y8EDSXv+nTlzBs+ePZNjKisvcfqiPp4aNmwIU1NTrQpGV1dXzJo1S+sFMmnwwI4dO/RW3h9BXFycTD87fvx42SCqHBejRo2S+0edElGhVGQY4oX49u3b2LlzpxwvXt2bQd3orvSo9Pb2lj1h0lIq7W+xHoZYv7/++gsuLi7IkSMH/v77b62yJD0+4uPjdSq3nj59qhU8MGvWLH0U+5N27dqFsmXLYuDAgShevDiEEKhWrZpsGE3p2B88eDAqVaqEtWvXcqrvH9zixYshhEDVqlW1hu1IGjSgBNsowQOlS5dOMXggLCwM8+bNM0gqXfW9vHLlyhBCwMHBQQ6NYmdnhxEjRqTZHuxKVpQ2bdpoPZcqDZsHDx6EEAKLFy8G8KFSOGnF8Lp163R6YeXLl0+v2V2U62Xt2rXx5s0bxMfH4+LFi6hZs6bMPHD9+nV4e3unGHCWkJCAyZMnQ6PRoHr16mnq3sjSnv3798vn8cuXL2s9rxw9elQ+p3Ts2BGZM2eWw4DY29tj8uTJes9I8u7dO5kxqHjx4ggLC0NsbCxcXV3RpUsX+cyrePr0qTwfHBwctBrkDCEiIgI9e/aUmUJ27tyJsLAwlC5dGk2aNEl2ex46dEgGD4wdO9YApU6dW7duIVeuXMiZM6fWMyPwIVve4cOH4ePjAz8/P3ltTkvBAwAwb948mJqaokGDBlrrMG7cOJn9IVu2bPjtt9+0PpeQkICDBw+iWLFimD17tn4L/f+SPrt26NAB+fLlk4F0St3D4cOH4ezsLO81wId3v8TERGzbtg0eHh4QQmDevHnyuwzVKUE5X9zc3NCoUSO8fPlSqywTJ06U9+vVq1frtYyfoj62hw0bBiE+pOtfuXKlTCOv9iXBA/py9+5ddO7cWW7r9evXy3Ip+2ru3LkwMjLC+PHjASRfJxUeHi6DapLWhemLelsqwQPK9XXMmDEpfu7evXsy80CJEiWwYsUKg+8XRVxcHA4ePIiCBQtCiA/DDCl1g+oyppXyMsYY+zFw4ABj6Yzy8B4VFYXatWvDzMwMw4cPl5Usz549Q9myZeVLwe+//671+evXr6No0aKwsrJCu3bt9Doe2fdq27Zt8v8pBQ+0adNG9q5JLnjAUNS920uWLAkTExM0atQIa9euxezZs2VFt42NDQYMGKDVSBIcHCyDB2xtbbF7925DrcZ359GjR3Bzc0Pp0qW1emuoXxZHjx4NIQQsLS21emaqG730XUm0atUqlC1bFg4ODhgxYoRMyaqueFA3uru7u+PQoUNaZU8Lvpf1AIAlS5ZoVR4mJCToVDps2rQJPj4+aNiwIVq1aoVTp05ppeBMGjyQtKeWoShpNJ8+fSrHBq5evbpW8EByFSzpZZxe9u0cPnxYHs8DBgyQ02NjY7WOmZEjR0IIgePHj8v5nwoeUF9/9XUtUN/LK1asCI1GIxukExISMHXqVFhZWcHW1ha9evWSvdvTCqV3aPHixWVmAOXep6zbmjVr4OTkhJYtW8LLywvlypXDzz//rNObcu/evRgwYAA6duwIf39/PHr0SG/roWSwaNWqlU7GhL///hu1atWSGSmEEOjXr59cX+VYUdZ7w4YNEEKgYcOGeis/S5+ioqLQuHFjGBsbY/ny5XJ6YGCgzEinNITeuHED69evR6FChWBtba33QCKloen9+/fyvl2mTBmcOHEC+fPnlz3ckzagPnv2DH379oVGo0HPnj31WmY1pVyRkZHo1auXzBq3fPly5M6dW6bBV7/nKef2+vXrYWJiguLFixs0dfzHKPdGHx8fAP+7/m7ZsgU1a9bUCi5XZ3rSp49lyrpy5QoKFCiAokWLyoDA6OhozJgxA5aWlsiZMyeGDh0KS0tL5M6dW+d5Nj4+XmvIR0M9z0+ePBkLFixAyZIl5RAF6rLExsZi8+bNcHFxkZkVKlWqhJIlS8LIyAjW1tZaQQP6bmxUBzKWLVsWJiYmqFSpEs6cOYOwsDCtZYAP66scV0qPcaXcaeGdavbs2TILx6VLlz66rDp4oFixYti4caOeSvlpd+/eRadOnXSCBwBg586dEOLDUAbqYFqFsh/Uz7aG3DfqY9rPzw9ZsmSBEAJ169b9aMave/fuYeDAgRBCoGLFimnqnTAuLg4HDhyQgT+NGzeWQRqfOofTwnnCGGPs+8OBA4ylQwkJCZgwYQIsLCzQu3dvGfF88+ZNdOjQAUIIOU6funeW4uTJk/jzzz+1GobYl1HSxqvH3UwueODFixcoUqSIjFQ/cuRImkmPFhcXJ3u++fj4yEZS4MO6+Pj4wMXFBdbW1pg2bZpWZdjz58/RpUsXWFpaGmS4i+816nrPnj0QQqB79+4AoJUKUX3cNG3aFEIIzJ8/H4BhXxp9fHxgbW0NS0tLTJo0SaenkrqiYffu3fL61KZNG/zzzz9p5oX3e1kP4MO5raQw9vf3B/C/cyYmJgZ37tzRqkBSfjJlygR/f3+tMTiDg4PRq1cvGBsb48qVK3pdj9RcK4OCglCyZEmd4AHFokWLtBqI2efbvn271jGRnp04cQJNmjSBubk5HB0dk+1dqIwdXLVqVa1jPmnwQOfOnQ0y5m5ScXFx6Nq1KywsLDB8+HD5bPj48WO0b99eBvmZmpqiZ8+eaWYc1EePHqFOnToQ4sO4uepsWeqheH766ScI8WEc18yZM2tds9SNpYBhng3evn2LmjVrwsLCQg479f79ewwfPlwePxcvXkSNGjUghICJiYlMF6wMh6Mut9IzUGn8SUv3Fpb2zJw5E0II5M6dG5GRkTh06JDMNKDc/9XCw8Px7NkzA5T0f8EDoaGhMnjAxcUFJiYm2LdvX4qfU56NLSwsZJYOQ1DOU3XwQIYMGWBkZKTVWJvUw4cPZYPQqVOn9FXcz7J582bZYPXu3TsEBQXJntZCCHTp0gVTpkyBm5sbhBBySBZ9U1LfJ7V06VIIIeSQjXFxcZg3bx5sbGyQO3duhIaG4s2bN6hevTqEEChUqJBO5gGFoa65ynHu7u4OOzs7TJ06FUDyz8L//PMPGjZsiLx588LW1hbZsmVD7969tc4jQ70rR0VFoWrVqjAzM8Po0aOT7aGvXif1sAWrVq3SZ1E/6s6dO3B3d4ebm5vWs+DHAliCgoJk54ps2bIZpI5k0qRJmDp1qs7+Txo8cODAAfz111/yfDBExqzUUh8vSTNOzZo1C46OjjA2Nsb06dPlMDjJuXPnDoYPH26Q5+BPnY+xsbE4cOAA8ufPDyEEOnXqhLdv36bqs4yxtIvf41h6xYEDjKVhKY1T9eTJE+TLlw9FixaVkf737t2TLwFKY+OkSZPkS8GCBQv0Vu7vSdIeg0kf2FesWCG3sfJiD2i/2Cj/X716NYyMjGBsbIwsWbJo9VD+1j62Ds+ePUO+fPlQuHBhrR5+6p7uShpBJycnnd5JISEheP78+TdeA92HLSWAITo62iAv5N+S0pu9atWqyc5X9o3SQ8OQva+A/6VvrFu3rtb4zclR9uPevXvludOiRQu9ppJOyfeyHv7+/rI325gxY+QxojQSvH37FgsWLECFChUgxP/GSO3SpYvMWOPq6ooDBw5ofe/z58/1Pn6i0sAQFRWFLVu2YObMmdi/f7/WdUg5H9TBA9WqVZPBcStXrkTWrFkhhEizvfzSur59+0IIgRUrVnw3L75nzpxBy5YtodFokCFDBsycOVPOGz9+PIQQqF+/frIVxUrwQPny5SGEQNu2bQ3S81Lt+PHjcHJyQoMGDWSPvqCgIBk00LVrV+zYsQPZsmWDjY0N+vTpkyauV8CHIVXatGkj94XSw1LRtm1buT8uXLiA9+/fY+PGjWjYsKFstDtz5oyBSv9BTEwMPD09YWNjg+DgYERHRyN37tywtraWAQIJCQlawQMWFhay3OqgzMWLF8Pc3BylSpUyWOMuSx+Ua1JMTAwqV64MGxsb9OvXT2YaUAcNKPfKtBC4rA4eKFq0KIQQMDc3x6+//gog5QaS8uXLw9jY2ODBWurMAz169IC9vT2EEKhZs6bOOO5qyvV4+/bteirp53n//j0KFCgAIQTy5s0LV1dXaDQa1K5dW6sxWmnc7tWrl17LFxQUhF9//RWlSpWCo6OjVo9pADh16hTGjh0rz4t9+/Yhe/bsyJ49u1YmgeXLl0MIATMzMzg5OWnd/w0tODgYAwYMkO8WXbt2lfOSS1keExODt2/f4t69e7J3cnLL64uy7X19fWW9lBI0kFx51NPUwQPr1q3TT4E/QQkSnzhxIoDUb9Pbt2/jl19+wZw5c75l8ZJ15MgRGZA1d+5cnef2pMEDGo0GRYsWxa5du+Qyae1ZX7lnREdH47fffks249fs2bNha2sLExMT+Pn5fTR4wBDZP9V1azdv3sT69euxb98+HDt2TGu5mJgYHDhwAHnz5oUQH4YZ4uABxtIH5TxPTExEXFwcgoOD5fmrSGvXV8Y+hgMHGEuj+vfvj7Jly8qxddWePHmCbt26ITAwEADw8uVLmea1c+fOcrmLFy8id+7c8qUguR4n7Muob/ZK7wwhBKZMmSKnJ02zu3XrVmTNmlVmKTh69Khey6zOMKF+6di3b59WOlx1Dz91ymWlgn7QoEEA9FvxqJTjzp07uHHjhnzZCw0NRYECBdCzZ0+dHsbp2ePHj+Hi4gIHBwfs2bNH5yVReXlWxnwePHiwIYoJ4MNYokII1KlTR6v3T9Lek4r4+HitCj3l3GnevLlBG7G+l/VQ0i+OHj0awIf03krZmjZtiqFDh6J48eKwsrKCEAIFCxbEwYMHZaNnbGwsGjVqJFM4Kj1hDUHZ7uHh4fD09JTrYWpqilKlSsmUwIB28IDSE9zd3R2NGzeGubk5nJyc5NAG7PMoFdjNmjVLMw3NX+L58+c6960zZ86gVatWssH6999/x5QpUyCEQL169WTa7OTExcVh165dKF68eJoYqmfx4sWws7PDw4cPAXx4VuzduzeEEPD29pbLKRmGbG1t0bt372R7bepD0utK0n2h9AJVMml5e3vLdVPs3bsXuXPnhqWlpWycN5TY2FgMGTIEQnwYlsrd3R0WFhaYMGGCVtagxMREXLp0CV5eXrKxVB2otnz5cri6uiJDhgxpJisEM6zknkHU549SOakEClpaWkII7WGFDNnYkNL7QnLBA/ny5ZPD6CllVje2eHh4IGvWrHLsZ0NKGjxgaWmJjBkzYvny5Vq9q9UNVLVq1YK1tfUn051/S586Fu7du4cKFSogW7ZsKFCgAFasWKEztKGfnx+EEFi5cuW3LKqWEydOyOx9+fPnR7t27bBp0yat6yugPRxVhw4dYGNjI7PAKMseOXIEbm5u8vkm6dCO+vCxZ+uQkBBZtyOEwLJly+Q89f5L7jvSSoNEgwYNkCFDhmTHaU9KXeaxY8fC3NzcIM8mSa9ViYmJGDt2LIQQmD59upyWklevXmk1EKnrXvS5X549e4Zp06bBwcFBZpFLLvNAx44d5TE2bNgwOU+5NqcV6qEv6tatC41GgyxZsmDDhg1anV0AYM6cOTJ4YNasWR8NHtAnZZtGRESgY8eOMmuLMvyLt7c3jh8/LpdTggfy5cvHwQOMpRPK+RsZGYmRI0eiSpUqcHV1Rfbs2TFs2DD8+eefctm0cq9m7FM4cICxNOj58+coXLiw7F2VXPDA48ePZaXEuXPn4OTkpDUOamJiIqKiolCkSBHZiCKEwNu3b/kmlUo3btzAhg0bUK9ePVSvXh316tVDx44dcfz4cZ0e9ps2bUo2eED94tW/f39UrFgRr1690muq71OnTmHSpEnInj07unXrpjP/3LlzMDExQZUqVeQ09TGivIytX79evrgYwq1btyCEQPny5REcHIz379/LisbJkyenuZfcT0npPIyPj8f79+9lY0mTJk20UuCrK8iURqENGzZ89Du/lQcPHqBIkSJwcHDA+fPn5fTExEStl/jExES8ePEi2TTn6kb31q1b64wLrQ/fy3ooDZ6tW7fWusYovafVPwUKFMDAgQNlrz11gMS5c+dga2uL4sWL66SC1Lfo6GiZUrZOnTro37+/HCfc1NQUixYtkssq++rZs2eyR6+dnR3KlCnDDXBfSKlUb9myJW7fvm3o4nyxRYsWIXfu3Dh69KhOhZu6wVqpwGvYsGGqgiRiY2NlpXhaeLYKDAyUQUDr16+HhYUFWrZsqbXMiRMnYGVlJXuVDhw4UO89r2bPno1Dhw59dF9kzJgRpUqVkj0WHzx4AED7WpWQkICKFSvqNJLqm3o9qlatCiE+DKkwaNAgeVwkbexJGjxw7tw5bN++Ha6urrCzs+NAJwYAWo0Ily9fxt69exESEqLVMK0cY3fv3pU933v37i3nG6qRYd++fTrPUEkp6/f+/Xs5bEGRIkV0goSADw1CyvVZPazatxIQEIAHDx7IxprkxvVWBw8owxZkzpwZK1asQHBwsNb3LVq0CEIIVKpUyWDD/qj3x99//41du3Zh/vz5WLdunVYjZ1xcHF69epXsM+CpU6eQP39+5MyZU28BEIcOHYKFhQVcXV0xYcKEVB3TN2/elIGmShYehTJ8wfnz57We+7+1e/fu6dTrpLQuz58/x8iRI2UWsI0bN37yM2nFs2fPYGlpibx58yIyMvKj7+hKxgS1V69efeMS6lJv0/Xr18vz9/fff9cKyE667dXXg549e8Lf3z/ZAAR9CwkJga+vL2xtbeHq6ppi8ICSBUUIgU2bNsl5aeGZFvjf9o6IiECJEiVgZmaGrl276pzT6nVLa8ED6kB45T5XqlQpdO7cGc2aNZPbv3z58tiwYYM8X5RhC5TggaZNm/JQs4ylUeoApzJlykAIATc3N5QtWxaZMmWCEALOzs6cCZqlOxw4wFgadfXqVVSrVk02liQXPKBo06YNhBAyXZ9SARwbG4ucOXNi+/btWLdund7HpU7PNm3aJIM31NHASkNUq1atZMYH9WeUZXx8fLTmbd26FVmyZEH79u21pn/rl7IZM2YgS5YsEOLDuHX169fXSet2//592NnZ6fRoSFrZffjwYZ2sFvr0zz//yECBmjVrIk+ePDA1NcX06dMNniL6cykvhPHx8QgLC8OLFy90KlVOnTqFHDlyyBfFpGnjlyxZggwZMqB48eJ6GSoiOQcOHIAQAj169ADwYb2SVkrMnTsXHTp0QM6cOeHu7o7x48frDAOgbnTv2LGj3hurv4f1uHjxIjJlygR3d3f8/fffAD70ulLKuHjxYrRp0wYNGzZE7969cefOHdkrSznXlReekydPQogPQzYYilKmgwcPIlOmTBg7dqw8R168eCGDJIQQWmOiK/e/+Ph47Nu3DydPnjTY+ZHeqYMGkg5Rk1YqFFMjKioKDRo0gBACJUuWxPHjx5NtsG7dujWMjY11srikh6C0pA3/sbGxKFOmDDJnzox79+4B+N94sGfPnoWFhQV8fHzg6emp9ywSShYUDw8PnDhxIsXgAWVflC9fXg6RouwL9WdKlSqFLFmy6L2hPSAgAGfPntWZni9fPhgZGcnMAykNj5I0eMDKygoODg4cNMCkpL0sM2bMCCEE8uTJg4EDB8oeuUrGAQAYNWoUjIyM0K9fP63v0Dcl+0b58uWxYMECnaEF1OewOnhAGW6oQIECWLRoEU6cOIFXr15hwoQJyJo1K5ydnfUyTIHS2ztXrlxo1KgRjhw5otVQlVzwQFRUlAzodXJyQtOmTbFq1SocP34cAwYMQKZMmeDi4mKwQEb1Np82bZocwkn5KVSoEAICArRS+id15MgRGcy5fPlyfRQbFy9ehKOjI3LlyiUDpYEP6/OxZ5Hbt29DiA9DLqiPmVOnTqFIkSKoXbu21v39WzfG79u3T/YAnzlzZqqCLkJCQjB06FAIIZAtWzatht20GjyQmJiI58+fw9raGg4ODjr1DgrlvHn06BHatGmTbLCQIQwfPhxCCHTr1g3x8fHYtWuXDPBTD4mUNCOdMnRd9+7ddbJg6JtSrhcvXmDGjBmwt7dH1qxZMWvWrGSDBzp37iyvA+rhP9LKMRYXF4dffvkFQgiMHTtW1vskfT5PLnjA0tISkydPNnjwQExMDJo1awYjIyNMnDhRK8Pn4cOHZWa9smXLag1nGh8fj0OHDsHZ2RmWlpYfHQqHMWZYUVFRqFatGoyNjTF48GC8fv0aMTExePHihcwKlidPnk8OicpYWsKBA4ylEcm9+F69ehVVqlT5ZPBAy5YtYW5ujlOnTmlNnzFjBiwsLHD48OFvUubv1ZIlS2R0/8SJE7F3716cOHECy5cvl8MMCCGQJUsWnbEV1cEDrVu3xtSpUzF27Fi4uLjAwsJCZwyzb0mpaPDw8MC2bdu0eicplOPOx8cHGo0GFSpU0AqIUL/UKI1IS5cu1frstxYfHy9fBJ89eyZ7F2o0GvTv31++PKaFMVtTQylnREQEWrdujcKFC8Pe3h6tWrXCtm3btJbdv38/smXLJnsw1alTB+PGjUOTJk1gbGwMR0dHg6QOV/a9v78/hBBo06aN1vzIyEicO3cOrVq1kj0vlfPC3NwctWvXxokTJ7S+a+fOnbCxsfloanBej5RdvHgRVlZWaNasGYAPQQNubm6oUKECHj16BAAfHXZAXdmijHs5f/58APptJE76t3799VdkzZpVVvio5yv7LWnwgKGzJHwPhg0bBiEEWrVqpdPIoa6o+1gDQ1oSHBwsgyyLFi2abPDAX3/9JYMHMmbMCD8/PzkvrVSefuo+p5Tz2rVrsLS0RIECBXRSevfu3Ru5cuVCZGSkXnrtJvX06VM0b978o/vi9OnTcl/Y2dlp9c5Qn98zZsyQwXVJeyx+S0oPxPr162s1/syYMQMuLi4YNWqUzDxQokSJFBs6leAB5dkyY8aMHw0UZp+WnoKaUiMyMhIVKlSQx1K5cuXg7OwMIQSqVauGixcvai2vjMcthNBqfNAnZXxt9U+GDBkwY8YMmTJeoZz7yWUesLa2hkajgYeHB8zMzFClSpVv/sybmJiIq1evynKbmJjI578mTZrgt99+08pGlbT8SvCAubm5/I5cuXIha9asaNKkiU4Qnr6ozwulF3u+fPkwffp0LFy4EC1atECGDBng4OCAiRMn6vT4Dg4OxuLFi+Hm5gYTExOt4Q+/5TkXEhIih89asmSJnJ6ae3J0dLQcrqp3794IDAzEpk2bULJkSRgZGWHVqlXfrNxJvXnzBrly5dJ6l3Bzc0Pnzp1x48YNub2Ty1ATEhIiA3HSS/AAALnfZs+erRPgry53+/btYWdnp9Uor0/q43fTpk2ws7NDkyZNcOHCBTldSelfoUKFZDNU/PXXXyhTpgwyZsyolYraENRZaoKCguDv74+mTZtCiA/D0/n5+ekcN/fu3ZPvfkIIrewWacHly5eROXNmlClTRh5LKR376udkZRhCJycnvH79Wi9lTalcR44cgZ2dHWrVqiXr19RlvXjxogzK+vnnn7U+GxcXh6NHj6YYhKMPH3v/+N6euxj7UkpmKW9vb637XkJCAsqWLQtbW1sMHz6cM4ewdIUDBxhLI16/fo3Tp09jxYoVWtM/FjygPKT16NEDQgh4enri1q1biIqKgp+fH7JkyYKSJUvKnlrs03bs2AFTU1NUqFBBp4e3YtasWTJ9rr29PTZv3qzzHZkyZZKVTUqWAn2OgTxp0iQIIdC4cWPZgJlcZYTi3LlzMrV3pUqVdCpTlixZAkdHRxQtWhTPnj379iuAD2McKhWi6oYqJycnaDQaCCFQu3Zt3L9/P90EDSgiIiJQtmxZGYDi4OCQbAMo8CGtdPPmzeHk5KR1PFWtWtVgFZCKP//8E0ZGRsibN688D0JCQjB58mQUL15cZuvo06cP5syZg379+iFbtmwwMzOTPXrj4+PlsZlccAuvR+pcunQJLi4usnL1/9i76qiqtq879qW7WzBABLEBBRQVCxtRVAxsBBVbQREs7C7MZzd2PLG7fRZ2t2Ir3fP7g29vz7kB+N7Pc67v3TkGQ7n3XO7e5+xYe6255qpevTo0NTURGxvLMl+kayJTcOfP4sWLoaOjAx8fHxmZ3V8N2g6uU37y5MkICAhgr0tj7ty5cueOWM7UBw8e/PbEhWHDhrGgAlUqKigokCnd0bNnT/Ts2VPps1/oWEhOTkaHDh2KDFhzpfJNTU2VijxA98GsrCxs2bIFI0aMQGhoKGJjY3Hjxg0eCeD9+/dwdnZGqVKlcP78eTZ3li5dCjs7OwQGBgqaEUe/nyojlORZXLhwgfcsZs+ezXt/1apVMDc3h62treDO1OPHj6NRo0aQSCRo1aoVL3hLgwYZGRnMCVwceeDy5cto3bq1SmngH4Kr5vTp0ye8e/eOOed+N8c2d85aWlpi7NixTA3pyJEjaNKkCcvolyYP9OnTB4QUlisQQ5ErIyMDfn5+0NDQQEBAALp168YIv/r6+ggLC8PJkydlMkDp3pmSkoJq1aqBkEJZ1x07diA5OVlQef9+/fqBEIKAgAAMHjyYqbcRQtCwYUPExsbKEOfo+paRkYHw8HCYmJiwtevt27eiZyEDwLp169j5SbqkVtOmTZliFndff/fuHYKDgxkZfePGjey9X70vXr9+HSYmJowU+7PfuXHjRlaWh/6oq6tj/vz57Boh1gZuCboyZcqgW7duTO3P3t4eDRs2xOHDh/Hx40f2GUXkgbJly8okLogBRfctJycHBQUFmDdvHtTU1ODs7IzDhw+zYCn3TB8fHw9DQ0MEBAQISv6jkPYfxMXFwc7OjhEC6fvXrl1jSqClS5fG7t278eTJE3z79g1btmxhZCfpM7zQkFapsbCwgIaGBipWrMjGv4ODA+bOnVus8sCOHTvE6IJcLFmyBIQQjBs3DkDRSmDS43Lp0qWC+kukxxS9z5ToOnPmTAA/+sBt7+nTp5nKqZB+w+LAPX/s2LEDUVFRGDlyJOLj438LVTYVVBAKXbp0ga6uLs9fnpeXBy8vLxBCEBMTwxQ/09LSBPe1qaDC34GKOKCCCkqATZs2oWnTpsxQpDWbqSFZnPLAmzdvWBa2mZkZY7Tb2tqKko38u+LZs2eoVasWtLW1ceDAAfY6Nfi5B4GtW7eyDKDq1avLsM//+usvrFq1Cj179sSCBQsYa50GX34lDhw4ACMjI7i7u/9UnfWDBw/Cz8+PBeWbNm2K3r17o1mzZpBIJLCwsGCyqL8amzZtYtlGtA+5ubm4d+8emjdvjtDQUNSpUweEEPj7+/92GXqRkZEwMzNDZGQkvnz5gps3b2LKlCnssL5o0SLe9Z8+fcLDhw+xdu1arFq1Cjdu3BCMOV8UHj9+DF9fX7beNG7cmCkkaGlpwcvLCxcuXOB9hrL/jY2NZSScxXLs/1v6sWbNGp5jdNGiRXJJA4owd+5cWFtbw9zcXHBSCleJIyIiAvXr10ft2rVRp04deHp6ymRNc0HJA2pqarxAr9AICwtDpUqVfmrdVUZMnz6djaNhw4bJlQSlNVH79+8vWq3mn8HvTh7gOoMbNWokk83r4OCA4cOHs6BDamoqC3xVqVIF3bp1Q2BgIAghsLKywoMHDwRtvzxJ9b/zLBYsWACgsNyBtbU1jIyMRNn/CwoKcO7cORa8bdWqFS5fvixz3adPnxgpszjyAFfhSYWSg0sWAAr3kO7du8PNzQ3W1tbw8PCQKS32O6F79+7w8PDgERILCgpw9+5dltHLJQ8UFBRg69atbF6JoSqSn5/PCGi+vr7Izc3Fxo0bERoaytYsExMTpnJGy6kAP57j9+/fGUm7QYMGgrYd+EEkr1ixItLS0vDs2TMsW7YMZcqUga6uLrMXx44dKzfDOCMjg5UtqFy5sijPgYuCggJkZ2ejTZs20NHRkbFpafmngIAAmczvnJwcnDt3DrNnz2alsABh9kMqG09VZ/5OkGr37t0YOnQoKlWqhIEDB2Lfvn3sPSH3dFrOrFy5cjh69Chu3LiB9u3bw8XFhSkR+Pv7Y/bs2cjMzGREFGq/Jycns/uhr68vSMkORaDzNDc3F8nJyTh79iwuXLjAa/eXL18QEBAAQgrLRSxbtgwvX75kf2PKlCmwsrJCqVKl8OjRI1H6QTF27FgMGzYM1atXx4ABA9jr3FJup06dQqtWrXhrGC0fo6ury+wTQFyiaUZGBmrVqgVdXV0MGzYMHz58QGpqKg4ePIguXbpAT08Ptra2mDdvnlzlAaoIJRaRkVuSirZv/vz5IIRg2rRpxX7u+PHjvD1FKCQmJmLKlCnw9vZGREQEU+ikmDVrFgghmDhxIgDF5/KwsDCoqalhw4YNv7zNJQH3/NGiRQvmJ6Q/LVq0wJkzZ2RKpqmgwn8JBQUF+PjxI1xdXWFjY8PKZObn58Pb25uRBriE2VOnTmHMmDEq8oAKSg8VcUAFFURGTEwMdHR0oKOjgxEjRmDt2rW4desWMyZLQh4oKCjArVu30LJlSxgYGKBixYoIDg4W/RD2u+Hs2bPQ1dVF//792WvSRj3399WrV8Pe3h46OjosE644o/lXBhTp346IiAAhBH/++edPfQ4olNobNWoU9PT02IHA2toaTZs2FTzQQGWlDQ0NWdZrTk4OM66ePHmicE5wSR7KJgWVm5uLWrVqoW3btsyRSA/GtEyGNHlAmdnce/bsQfXq1Vk9ahogmTx5Mp4+fQqAf/j/9u0bKlSoAE1NTcGIKCXB79wP7ni3sbFhMqgrV64EwG+3NL5//44XL16gY8eO0NHRgZOTk+D94So1UCUOQ0NDaGlpMWcqlWZV1I8FCxYwNQ4xspaGDh3KHCjKUqf1n4BK7RFCEBERwavt3KVLFxBSWP+VlsH4HfB3yQNWVlZFOit/Nej8SE9PR82aNaGmpoaQkBBcvXoVJ06cwMKFC1G2bFloaGhgwIAB7Fk9efIEgYGBMDc3Z4EGLy8vwUlBvXv3BiEEu3fvZv35J+SBLl26wNbWFkZGRqI4trn2+dmzZ3nkAW7mN7UHS0oeUOHnEB8fz0hNNFM9LS2NBZutra3h4ODA9pD58+ezLB9lhTz1rICAABZokJ4b9+/f55EHKEn58+fP8PPzK1EN9f816Px4//49nJycoK+vj7Nnz7L3L1y4gNDQUJYBa2BgAHd3d8ybN08mg//bt2+oV68eTzJcKOTm5jJC6dixY9mzefr0KbZu3YqGDRtCQ0OD2Yzh4eHYunUrz15PS0vD8OHDlYbc/OrVKxgYGKBhw4a81ydMmMDsF26ZrYsXL/IIK9zxJxRBlqpnFGcDckHVkaSVaKTP6GIEd4ODg6GhocGSRL5//45Hjx5h5MiRcHJyYnaXr68vhgwZgqdPn/Lu9bt37xAeHi6jwCMk6BinJC1KtCaEwMXFBePGjWM+qA8fPrBgu6amJmxsbFC7dm2UL1+eqS+IfYa6cOECCCGwsbGBnZ0dIw5Ij5eCggJ8/foVcXFxqF+/PpydnVG1alUMHz6cRx4SizRAk1MoCSg8PJzNX9qmp0+fIiYmBnp6erC3t5dbtuDZs2eCqUtKg66zqamp6Nu3LyvhSBUHatWqJbdt3D7UrFkTLVq0EFThJS4uDvr6+jKk3mHDhrH5Gx8fz4hD8lSy6LyipWRmzJghWPsVgd7X9PR0eHp6MnLZkSNHcPz4cZbEU6dOHfz5558q8oAK/2kUFBTAz88PZmZm7DXq15ImDQCAl5cXXFxcikyOUUEFZYCKOKCCCiKC1hBu1KgRz6kijaLIA9IH99u3b+PLly+iZzb8jhg5ciQIIVi4cCEAxcFa7j0PCwsDIQROTk5KEaBOTk6GgYEBnJyckJqaWmIJf2kJ87t372L//v1Ys2YN7t27J2hGKfeg17lzZxZEpM4s7nORNye4fV67di0iIyNFVd6Qfgapqanw9PTEyZMnAfyQdKT4448/5JIHlK0cA7fNV65cwerVqxETE4N58+bhy5cvLHtSukRGcnIybGxsUKNGDaXIsPy39CM7Oxt169aFRCJB8+bN2Rjilr+Rdg69ffsW3t7esLS0hEQiQUBAgChZGrRtvXv3hqGhIQYPHowHDx6w7BiqoED3SUVOuSVLlojioB8yZAgIIejYsaPo5UP+Kbj3ljrqCCEYOnQogB9KA3369GGZY7+TBPjPkgfoHmRgYMAIRGIgPz+fjbORI0fy9smUlBQ4OzvD3NwcsbGxPPvv7du3OHv2LBYsWIBTp06xDAghQTOPCSHYs2cPgL9PHtDR0WHqWmLK+v9T8oCK2PvPMHv2bBZEoHMhMzMTPXr0gKGhIUaMGIFXr17h3bt3iI2Nhbq6OtTU1DB9+nSlsNXlgc6HjIwMTJ8+HX369MGoUaPg4+ODvn37ApBvB3LJA76+vjh37hzv74mB/Px85OTkYNCgQSCE8DJ4gcJnlZ+fz7NVCClUcAsPD8fr16/ZWiXG/kLv886dO6Gvr49GjRrJDYgMHjyYR7QmhKBu3brYvXu3KKSN4vD69WsYGBigWbNm7LXx48fLJQ0AhaUL6tevL0oglAZBaZkLGmgvKTIzM9GsWTOsXbuW9zfFBlUrc3Bw4GXfA4VB9jlz5vBKHVpbW2PEiBE4dOgQu45bDkvoZ0O/Ly0tjcnze3t7IyYmBoGBgahQoQIIKSyFQQkBX79+xZQpU9C4cWPWr6pVq6Jfv3549uyZoO2Xh0+fPmHRokWMAFGpUiVGMlN0f1NTU/Hlyxceqbao64VE586doa6uzuwM6X3j2bNnjNDp6uqK2bNnK0W7KTIyMpiS6pQpUwAUqqtWq1YNJiYmWLZsGe++c/e6iRMnQiKRYOzYsYIFsaltXr58ecyaNQtRUVFM4Yva7EDhmKlTpw7U1NQwbNgwRoDg2sMAEBQUBCMjI7aXi43s7Gy0b98eOjo6GDNmDCNsfvv2jddPT09PFXlAhf8E5Nni2dnZyM7OZn6S8PBwpk4cHR0tQxqIi4uDpqYmxowZ89uXuFTh3w8VcUAFFUQCzeZr0aKFjHqAPJS0bIEKfx/9+/cHIYRJzRXldKMHrLdv36J06dIwNTWVyZQRA/fv32fM35+F9OFXaFy6dIn9n3vo4JIHqPIArfMKyM6J69evIzc3F+vWrYOFhQX09fVFq8HNrQl3+PBhrFy5Ert374aRkRGWL1/Ou5Z7aOeSB6g8pzKipDUGuX2jB+zo6GilIUP8W/px+PBhtn5R5yQhBOvXr2fXSDuHIiIi4OPjg/Xr1+PTp0+Ctpd737Ozs+Hq6orevXvLEN/Cw8NLTB4QGnQcdOjQoUjSgDI4rBXh2bNnuHDhgtxsXC55gGaIhoaGKj1poKjx8TMB63PnzqFdu3ai1xr99OkTqlSpAjc3N95enZeXB29vb0gkEowZM4apbWRlZYmuVMMdGzQ49U/JA82bN4eFhYVS2b7yyAPcoKE88kDZsmXlZpwJhaL2LGVZW4vChw8fWN1yb29vRt4rU6aM3D1k0aJFMDExUVryADcYRwMm3J9y5cqxjCRF5IG2bduygF1mZqZSrM2nT58GIYUln06cOCHzXtmyZRkRrWbNmjA2NgYhBHp6eujfvz+ysrJE7cejR4/g6OgIQgiWLVvGe+/48eOs/SNGjMDYsWN5mddVqlRBWlqaKO2X9515eXl48eIFDA0NYW5ujqdPn2LixIkKSQPbtm2DRCLBsGHDRN1LxowZw861JTnL0b7fvn0burq66Ny5s1KtaQUFBahfvz4kEgmzzWkg7u3btwgODgYhheU5/P39ebLgbdu2Fe08y0V2djYrQTBmzBgeefrIkSPQ0tJCuXLlsGLFCrb/0Wdw//593Lt3Dzk5OUoVLPn8+TOWLFmC0qVLgxCCQYMGyagCAnzSoPRrYiMvLw+pqamoXLkyCCE8sok0Tp48ycaVo6MjpkyZIuo84X73qlWrYGZmhtjYWKaYkJ6ejpiYGKipqcHJyQl//PGHjLz30qVLYWVlhSpVqsiQcn4V6Bmwffv2PDLr48ePWYIYIQT79+9HQUEB4uPjYWVlBVNTU4wYMUKGkLxixQpoa2vDz89P8DO5ImzcuBGGhobo0qULex73799nAdJOnTqx//v6+uLPP/9kc1tZ5oYKKvyvwPXt/vHHH4iJieG9f+PGDZiYmDDbNzY2VsZuX7p0KWxsbODp6akU8QMVVCgOKuKACiqIgLt376Jq1aowNjbmBUuLgyLygNgSb/8WUMUBygwuDnl5ecjIyGDBFGVgBt+4cQOEEHh5ef30Z1euXIkhQ4b8glYVD+oYomoPAD+oWBLygJ+fH3PW1alTB7q6urCwsGDXCw1uTTg/Pz8mH29oaAhNTU0MGzasyEwFLnlgxYoVgrZdHmh/5DlN5P0u/TmgsBSDoaEhqlSpIpqh/G/pB7ed0gF4CpqVKY88wB1rXClaoZGSkoLg4GDs378fLi4ucuc3AFavXZnIAzSTWp7SgLKQSYrDli1bULduXTg6OmLhwoVyHblc8kCVKlWY1LrY918RuPf+/fv3uHjxIp49e8Yc7j8bsKbBeJoBKQSkv+f48eMghKB3797sNUV1E/Py8nDkyBFcvnxZkLYWBe6zGDt27D8mD1y+fBmvX78WrgPFgLbvZ8gD7u7uIIQIrmBBxxS935mZmViyZAkGDRqEyZMns1ISgPLObeBH+z99+gQ3NzfmrP7rr7/g5ubG1qe8vDxeP+Lj42FsbKy05IGcnBy0bt0a2tra6N69O3bt2oXY2FhGkPDz82Nrkbz95fbt2+jcubOoShzy0LdvX6irq/NklxMTE1nQfd68eQCAFy9e4OTJk/Dy8kKZMmVEVQrjYtmyZSCEoGXLlkx9TV77gcKM/qFDh8Lf3x9JSUmitJc75t++fStTToiqQNCSHq1atZIhDZw7dw41atRA2bJlcf78eUHarQgHDx6EkZERbGxssGPHjiKv5e6btJ443WuUAfn5+SgoKMD06dMZYYPizZs3LHu3cePG7PVt27axEoRiS5fT+5uYmAgNDQ0EBATInB9q1aoFLS0tREVFsfVKUYkLoYOK8s593LZ9/vwZixcvho2NDQwNDTFx4kRG6lDmPVEaffv2BSEE8fHxAGT3C9qXmjVrolGjRiCEoEKFCoKqS3JB25ednY0PHz6ga9euqFixInud7vn0PYlEAktLSzRq1AirV6/G8uXLERwcDC0tLVhaWgq2d1BiQLdu3dh3cn0M165dQ/Xq1XnP4uvXr4iOjoaFhQU0NTXh5uaGRYsWYf369QgLC4ORkRHMzc2VRr0uJycHAQEB0NPTY+Ty58+fIzQ0FIQQpob04MEDWFpaMpJXYmKiqMoDKsKCCr8CdC1KS0tDQEAAUwc6cOAAgMK1NS8vD/Pnz4ehoSEIIRg4cCCAwrJE379/R1RUFAwMDGBlZYV79+6J1hcVVPgZqIgDKqggAnbt2gV1dXWMGzfupz8rjzzg7e2t2nh+ElxnL8XKlSuZLGBJCB30b/j6+kJDQwNJSUmiyTlS3Lt3jznm9+3bV6LPUyOIsqZPnz79S9qpCFlZWRg1ahTvYEWhqGyBvODinTt30L17d5iamkJbWxu1a9cWfV5kZmYyQkPTpk0xaNAg1KtXD4QQ6OrqynWCccfQokWLQAgRjfxAwZXQjYyMREBAAGrVqoXp06fz2laUQ2jy5MmwtraGmZmZaA7hf1s/KHlJurwAN/unpOQBsUCVXuzt7aGhoSGTlch1eHHJA5SoJVYfBgwYAEII6tevL5P9zG3z6NGj8ccffwjdvBIhLi4OhoaG0NDQwIgRI4qsI81VsBg2bJjSlkOSDlRXrVoVhBCYmpqiSpUqPOUAeq10wPrs2bOizg06v3Nycpij7tKlS9DR0UGvXr0AFLbdy8tLhjQAFM6JUqVKoV+/fkrhPOPey/8FeUAMlIQIVFLywOfPn2WCeb8S3LIItA1paWnsDEF/tLS0EBERwa5VhvuuCFzyACXv2tvbQ19fH1euXOFdq4g8MGvWLBbYEgtcx/qLFy9gZWWFESNGsPU1OzsbV65cYRmkTZs2ZYQHeWNSGSWCV69eDUIILCws8P37d5w8eVJu0J1b2/rjx49iNVcGt2/fRtmyZaGrq4u7d+/i4sWLcttPSXc5OTmi7Y/cMbFy5UrUrVsXjRs35hEDEhMTWX15R0dHmcD6sWPHUK9ePaipqWHVqlWCtV0R0tLS4OvrC0IKJeSlSQ4U3L3u2LFjsLKyQs2aNUUtMaQIT548gampKQghSExMRHJyMlMM8ff3l/sZ7jou9r5OFYS4pJL8/HyeTUJtl/T0dDx69Ej0km7cfSA9PR1v3rzBu3fvZGpLf/r0CYsXL4alpSVMTEyUmjyg6Kw6f/585i+hyUV0beCuERYWFhgxYgQWLFggeqA6IyMDFSpUQMuWLdGsWTNER0cD+HGepff+w4cPGDlyJCPU0aQMHR0d1K9fX7B+xMfHs+9NSEhgbZQeI5QMNH78ePba169fMW/ePDZfaB80NDTg4eGhNKQ5iuvXr7NSMdnZ2cyv0LVrV951lEihq6uLsmXL4siRI4K2c+HChdi6dSv7Xex18p9A2dYaFWTL9Ghra6NHjx748uWL3FKgM2fOZCpajo6OqFy5MqysrEAIgZubm9LNcxVUKAoq4oAKKgiMgoICdO/eHYQQbNy4kb32d3Dr1i1UrVoVGhoagjohuVBk2CizsZaQkIAlS5awoDQ9RN26dQsVK1aEtrY2YmNji5QI4/bbzc0Nzs7OcskIvxKXL19mfeB+Z/v27UEIQc+ePYuVauP2o1KlSvD09BTFWP369Stz9qalpbFDGMAPghZHHvj69Svu3buHy5cv4/PnzwL24Ae4h/Ljx4/D0tISY8aM4V1Dpdf19PSwd+9emb/BfQZiZ8VxDeVatWqxgzI97FauXBknT55k13PHYnJyMo4fP87q2FauXFk0Q/nf0g8aMElPT0evXr3g6ekJbW1tdOrUCWvXrmXvl0R5QBnW6c+fP6Np06YghEBTUxNz5syRkcWVRx4ghODixYtCNxcA8OXLF8Yyr1q1Ki5fvswCNty2d+rUCYQQTJgwQekC7VRhp1GjRiUmiy1evJjd+4iICB6xSxnAHSdBQUEghMDW1hbt2rXj1eHk1kqWRx5wcnLCqVOnBG8/8GOdSk1NRcOGDdGjRw98+/YNN2/eZNlUFy9eRJ06dZhMsHTdxGHDhkEikWDNmjVidIGBu49x9/GfIQ94eHjg2LFjSkHkyMrKwvbt2zFq1CgMHjwYy5cvl9mfiyMPCC35PWTIEFhYWODw4cPstfT0dNSvXx+EFEpfL1q0CMOGDWO12rnOYGV0XtI5S9fcDx8+wMXFhdmGO3fuBMC/19LkAQsLCxBCMH/+fNH3we/fv2POnDm4evUqSpcujffv3wPgr2d3794tMXlAGUHnQ+fOnVGmTBmZoDt9PmKMt5LcQ2p3uLm5wcHBQWH7xQS3DaNHj4aGhgbMzc2xePFiJCcn866dNWsWbG1toaGhgaCgIKxcuRI7d+7EhAkTYGZmBkIIZs+eza4Xa47QZ3Pv3j1G1qhatSouXrzI9hTp53f+/HnUr18f6urq2LJli+BtLg70OU2aNAkSiQQhISFo1aoVCCksM0JB1y9678WcIxT0u7t06cIjDuTk5MhVPwIKlRAbNmyIq1evitJmgD9G1qxZg4CAAFhaWsLW1hZVq1bFzJkzeT6DT58+IT4+npEH4uLilIo8UJI1q3Xr1iCEwNnZWa4y6dy5c2FoaCi6ogjFlStXWFBNWnWDgt779PR03L9/H5MmTcLo0aMxcuRIHD58WDDCWX5+Pnbs2MHGfNmyZXHhwgUAhfM1Pz8fubm5yM7OZrYWPVPQPmRnZ+Pdu3eYMWMGoqKiEBERge3bt8uUXxAb0qoPnz59Qrly5VCrVi1GvKRnwQkTJsDBwQFt27aFiYmJoKStbdu2gRACT09PHhlObPvuZ7F8+XJGZlKGtUYFPnJycphvZ9y4cUxxR96anJ6ejjNnzqBx48aoXLkybG1t0bBhQ0yfPl1VnkCF3w4q4oAKKogAWheOBkdL6vjJyMjgBbaAwizr58+f/8/bWBJwjcmHDx/i4MGDOHjwIHJycgQPopcUV65cASEEpUqVwurVq2UY8AMHDmTZiX/88Qev5rP04R0orFFECIGdnR06deqEdu3aYejQoSXO9v+7iImJgbGxMf744w8ZNjYNEhobG2Px4sUyQQUKaScTIQRTp05lUopiICcnBzVq1JAJ7pSEPKAMY43e04yMDNy4cQPjxo2DjY0NCxpy+0FlzvX09OSOF2WaQ9nZ2WjdujV0dHTQp08f3LhxA6tWrUK7du1ACIGVlRWOHTvGrs/Pz8e3b9/QpUsX6OvrQ1dXF926dRNtraL43ftBxwJlO9M2q6urgxACExMTREVFsYCKIvKAWKUvpA/B9PcvX74wuUxnZ2e5GWXcfTIkJASEEFHIG/QZPHv2jAVA3N3dcfz4cV4gnTpWe/XqJVitzZJizpw5IISgefPmMg5FeesN9zVu2QJlIg9w20glNLt168YjVdIxRgjB4sWL2etc8gB14AutvMNFVlYW/P39IZFIEBkZyeYz7ZeRkRHU1NQQFxcnE7heunQpLC0t0bhxY5lMOiHBlZ6l+FnyAHXO+Pr6Mqe90OCWHGrWrBkvQ5/Oof3798tIMXPJA4GBgT9Vlux/hW/fvrG9rXLlyqze8e7du2FiYoLY2FjeMzlz5gwMDAxACEGXLl3Y68oQqKLjiEsAjI+PZ/P748ePjDxQvXp1Ni8UkQdmzZoluhw+DTDQ0hXu7u4oV66cQtKyMpIHihsb9P1ly5ZBQ0MD2traIIRflkzM8UXvXVZWFlatWoXNmzfz1iyuopmTkxOb91x1NGVz7k+aNAmEFJZWkFYR4o6VZcuWoXbt2rz1TENDA1WqVMG6devYdUL1r6jvyc/Px59//slsLhcXF8yZM0dGVW7r1q1MZWjOnDnsdSHPUUX1g3v/Dx06BDU1NXbvuUoDQhPMKBS1nb5O2099BpSYoYg0ABQmM2hqaipUivjV4PaJZkSrqamhQoUKsLW1Zfe/c+fOuHz5Mhsrnz9/ZuQBCwsLjBs3TikIwFwi45YtWzBq1CiEhYVh8uTJPPW5Bw8eMIVDY2NjrFu3DufPn0dKSgqmTJkCOzs7VKpUSakC1ceOHUP16tWhoaGBcuXK4dixYyUuJyg0srOz8eeff7I1tHTp0ozMTp9RQkICCCEICQlRirFTFIpLBKNznyoI9ezZk9kwFM2bN0ebNm2QnJzMSsMJhZs3b6Jnz57Q1tZGzZo1eaW3lGXMFId58+aBEIIGDRowIpOy2Rf/VdAxdOrUKRgaGqJBgwaMNFDc3MnIyEBqaqpoSZ4qqPC/gIo4oIIKIoAGFLhs/pLgxYsXMDQ0RFxcHABxDSFu1mtISAjL3iGEoGbNmli6dClzaimTwfby5UuMGDECJiYmcHJywsqVK2XIAzS4YGpqivnz5+Px48dy/9bevXuZI4l7+O/cuTOePXv2y/rw/ft3REREQFdXFxUqVJDbBxr8MDU1xYoVK1gGE1Bo/HPlTJcvXw5TU1O4u7sLbuhLIzU1FTExMdDU1ISJiQkvuFMceUBZMq+ysrLg4uICa2trdO3alUlL03vObWdx5AExwXVcPX36FObm5hg6dChSU1MBFBrKHz9+RFhYGAghsLS05AXdgUIn3pAhQ5CYmCiacsK/pR8UeXl5CAkJgYGBAYYNG4avX7/ixo0bmDlzJqsvOGTIELnkgblz57J16vv374Kuzdws0b/++osF02kbvn79Cn9/fxBCUKVKFbkBHe7cEdPZRe/tixcvYG9vD0IIatSowTJOunbtCkII+vTpw1jlyrIP3rp1C+XKlYONjQ0vA6ygoEBmDU1LS5NLDOCSBwYPHqw05AGgUJ7Z0NAQQUFBeP36NYBCycCoqCgWcChKeeDdu3eiZMZx7/2FCxdgbGyMUaNG8ZyNFy5cgI+PDwghcHV1xZkzZ3h/Y/r06TA3N4e9vT2r8y4m0tPT4eDggMDAQPYad6wURx54+/YtevbsKVMKRChws9s8PT0ZCeDs2bM4evQoIxL4+Phg8+bNcskDVKWmU6dOokg1v3jxAn369GFj5vLly1i4cCGcnJx4GZR0fbp58yary6ks5IG//voLUVFRLEiYnp4OR0dHODg44MyZM2w95pYt8Pb2Zv1TRB4Qq56zNI4ePQotLS2mkHL58mUA8m1aLnnA29ubR24WGlx1o5s3b2L37t148eIFc3gXFBSwcfXixQtYW1uDEIIePXqwv6EMSiLp6elMJp7WnJXer79+/YoWLVrIBHiV5dxBcfjwYRgZGaFatWpISkqSew33nj979gxbt27F6NGjMXToUCQmJuLBgwdyr/2V4N7Hhw8f4syZM9ixYwfOnDnDI+0fPXqUlVnQ1dWFubk5OnbsyMqOUQIt9+wo5BhT1I+zZ8/KtQHp2ly5cmW5qlVi4OHDh9i3bx+WLl2KHTt24M2bNzJ71549exjR183NjZEGpEu/zJkzBwYGBujduzcLsoiFGTNmgBCCNm3aMFv9yZMnWL16NZOTDgwM5JFpv3z5giVLlrD3xSAAcsElMjZp0oRJ3NN/TUxMsGTJEnY+unPnDlq2bMnzU9ESGTY2NnKVCMQAd44eOXKEkX86dOggU4qPQhnOVNnZ2di/fz+PPEAVHPbu3QtCCKpVq4bjx4+L3NKiwS2PdufOHWzZsgV79uzB9evXZdbP/fv3gxCC7t27815funQpTE1NMXr0aKGaLYO7d++id+/eUFdX/y3JA3fv3mVjv2HDhoxEqiIPiAN5Y2b69OkghGD16tUASmYDSu/pv8NYVEEFaaiIAyqoIAImT54MQgolD0titNNN6fLly5BIJBgyZMivbmKJ2sPNeq1Vqxbi4uIQEhICU1NT2NnZISoqiudAUha8fv0ao0ePhoGBgVzywPv379GwYUMWmA4ICMCmTZvw/v17fPv2DR8+fMDMmTOZbOKGDRtw/fp1/PXXXzh58qQgjrzXr19jzJgxCvuQkpLC+mBiYoLIyEi5GZTjxo2DmZkZLCwsZDI3hIA8Y/jbt2+YPn06JBIJU02gkEceMDMzE1UCURpfv35Fs2bNWBa4s7OzjEyoPPKAsbExtm/fLnRzeaDzlJvZvmLFCixbtgx2dnbM8cM1grOysljpBXlBdzEOPP+WflBIBz5cXV3Ro0cPniMuJSUFCQkJsLGxKZI8EB8fz8g2QkG6vIKenh769+8vI8n8s+QBIfH582fePKZ9ev78OSMP1KxZkxHPQkNDZcgRyoDt27eDkEKJPaDwfkqP7ZUrV2LQoEHw9PSEj48P1q9fz6uvC/DJA5GRkUI1v0h8/vwZ9erVg5WVFXM2fv78mZEGGjZsCODHwV86c1R6bAn13Oj3pKenY//+/Rg/fjysrKzYvOWSbtavXw8PDw8QUlgzMTY2FpGRkaxevb29vWiBdmlcvXqV3eeePXuy10tCHpBHtBMD2dnZCAoKgra2NqKjo1kw+uPHj2jTpg1re9WqVbFlyxYZ8sCJEyfQtm1bUR30L1++RK9evVg2vo+PDzp06ACAv7fQe33jxg2lIQ98+fIF1apVAyEEY8eORVJSEipXrgxtbW2MHz+e2YRcGV0ayPL29mZjTRF5QGzQtpw8eZIFdrilIuSN/3v37qFUqVIghIiWwcQ9B7Zu3ZqRxx0cHNChQweWXZyfn8+unTdvHtTV1REcHIzc3FxR5zb97tTUVLi7u0NTUxNdunSRS/rmZpppaGjAzs4Oly5dElWdTRGmTZsGiUSCzZs3/+O/JVTfuONg1qxZqFChAjs/EUJQt25dnDt3jpHokpOT0bVrV1SvXp2nlmBsbIzevXvz6mqLRRqQ14969erx+gEUBuANDQ3h7Owsur/k2LFjGDp0KFOdoT92dnYYMWIEC7YDhetpt27d2DXdunWT+XuLFy+Gra0tKlas+EuTKUqCpKQklClTBmXKlJFrHx08eBDlypUDIQRDhw7lvfflyxfMmTMHy5YtE6q5csG1E2vWrAk1NTV07twZp0+fxokTJ5hfS1tbG/PmzeMpP0yePBnt27dHqVKl4Ofnh379+ikMyP9qlKTE6fHjxxlBThnUCouCNHmgXLlyTOHPzc2NV45S2fYL4IdtlJaWhg4dOsDc3Jw3//v27csjPly8eBF2dnYghCA6OhoJCQkYMmQIjIyMULp0aUHLE8jDnTt3fmvywMOHD9ne1qhRIxV5QGAMHz68yDJ/Q4cOBSE/yk3Ley7UFhCrnKYKKvwKqIgDKqggIKjBcvLkSdjb28PQ0BAzZ84sMtDM3ZDatWsHfX19lo0ihgFEvzMzMxPNmjWDlpYWRo0axbJ3r127xjLizMzMMHLkSJbVI5bBdv/+fRmme3HkgYyMDLRt25anJFCuXDk4OzuzrN4yZcogMTFRsH5wVQJK0oePHz8yqVxNTU3o6OigZ8+eGDp0KHr16sVYrRUqVBDFqc2VMpaWVP727RtzgBVFHqCOCwcHB2RnZ4t+KKDf/+HDBwQHB0NPTw9mZmZYs2YNL3gL8J1MtN64nZ0dm0tCQl72dm5uLguCNm3aFJUqVUJWVpZMP4DC9YAbdBeLXf9v6QcgexhJS0vDsGHDsGDBAhgaGrKsMO44ys7Oxvbt2+WSB8TIduW2LzU1FXXq1IG6ujrq1q2LCxcu8Nr+M+QBofHnn3+iW7duaNGiBa9eOW0zV3lAQ0MDLVq0YM4TsdckCjqeBg8eDEIIhg8fzns/KysLSUlJTBGJ+2NkZIT+/fvzMhGBwmwyHR0dwYkoipCWloa+ffuy2tPp6emYN28eNDQ0UK9ePXYPPn/+zLITCfl59adfgZycHPj4+MDc3BzNmjWDr68vgB/zlo6jnJwcHDlyBMHBwbxMMwcHB/To0UM0Z7AinD59mmUal4Q8QJV3xJg38hxAW7ZsgYGBAUJCQpgdef/+fVYuJTg4GBERESCEwMvLC5s2bZIhD4hdZgEAXr16he7du7P73Lx5c/Ye917LIw+0bt1auEbLwYoVK1CtWjWoq6vD3NwcGhoamD59OtvDaft/hjwgFrj3msr80nt++vRpdubo378/u05egP3Bgweiz/X09HRGYqpevTp8fX3h6OjIzhU0O5fOh9OnT7Og5IEDB8RsOoDCNah+/frQ0NDA2LFji82Ifv/+PTtTLViwQKBWlhw5OTmoV68eNDQ0mJ1SFDmDW9Odqw4hJLjfOWrUKLaXjRw5EqNHj2b7dJkyZbBp0ybmL8nOzsbXr19x+PBh7Nu3D0ePHsW7d+94f0/IQEtJ+1G2bFls2rSJkQfS0tJQs2ZNEEIwYMAA0cg0c+fOZWSkSpUqoWPHjvDz80OFChVACIGWlhYqV67Mqx1+5MgRNh+qV6+OPXv24Pnz57h58yZCQ0Oho6MDCwsLUW14OgZolvSIESMAyC89uW/fPrY/csknAP/8JHZplQEDBrC+cNesgoIClClTBgYGBhg7diyysrJk2kp9LfLOv0KAm9melJSEDRs2YPny5bh06ZJMSbfjx4+jUqVKvxV5oE6dOmwMOTo68lTBlOUsyAW39BNNBGvUqBEWLlyIqKgoRoaoWbMmjwARHx8PTU1N3jnR1dVVKc7rwO9LHqDP4+HDh0zlzM/PDx8/fuS9r8KvwYkTJ9h45qr2ce2j6OhoGbKcIrvDzs4OERERArRcBRV+PVTEARVUEAF5eXnMOW9ra4tNmzbJGP8Af/OZO3cutLW10bFjR1GlKYHC9k2dOhW6urro378/C3Teu3ePOSbr16+PMmXKwNDQECNGjBCNSb9q1SoQQrBkyRKZ+mLSgfc//vhDRnJ52bJl6NOnDwwNDaGrqwtDQ0NUqVIFEyZMYMESIRwuMTExmD9/frF9WLlypUwfRo0aBS8vL5lgkIuLCwYOHChqzaWMjAx4eHigU6dOMmUSSkoeCA0N5QXzhIZ0/Tf674cPH1iN5ooVK+LkyZMyTiHu72PGjFEoLforERMTgyZNmuD69eu811NTUzFnzhzmTDIzM2NOB3mHF27QXU1NDadOnRKi+Qz/ln7s27ePZeJz9wLapkaNGsHBwYFl8EivPdLkgeHDh4vmJOJmyHh6ekJDQwMjRoxga5Si2pVc8kCNGjVw69YtYRvOwYwZM1gGRq9evWSUW+gcfv78OcvCqFKlCi5fvizafS8KK1euBCEETZo0YYGdz58/Y9asWcxRoa6uji5dumDMmDFMwtnAwICtwdznJi1NKxQUqQN8/PiRkRWfPn0KV1dXVKtWjdkg2dnZyM7Oho+PD6uXTAgR3Sn5/v17DBgwgMnIWltby5R7kp4vJ0+exKFDh7Blyxa8efNGaWuonjp16qfIA0IHFdetW8ec1tw9ISsrC126dIGVlRUbP8+fP0doaCjLxAIKsxnp3Pfx8cHWrVsFd/BJjw0uYYzOh5cvXzJpbEIIT+FIHnng5s2b7Foxylhx7+Eff/wBfX19SCQS1K5dW6GDWh55wNfXVzTyBoX0epWbmytDBgaAM2fOlJg8IAa442TMmDEwMTFBbGws8vLyUFBQgKSkJLRr1w6EFMo2S0t7U+JaixYtWCad0KB9oPWE+/TpI5dcvm7dOqxdu5ZHEJ8/fz7bD5VF5psiJyeHKc9wAyVccJ/f+PHj5SrRiYEVK1aAEIJmzZoxtQoKSk4JDw8vdsyIHVj5mX7Qtu7cuRMmJiaoVasWr6ygUBg1ahQkEglcXFywa9cuZkfk5+cjJSUFQ4YMYWUZLSwssHPnTvbZgwcPIigoiO0Turq67P+1a9fG/fv3BenD69evcfr0aUycOBHbtm3DuXPneO8vXboUhBSWUwD46yl3TtD9cdWqVYK0+2fx6dMnZtNyzxfUpqV9pHa5tF+CjjkxgqfczPb27dszW5cQAm1tbdSqVQs7duzgfUaaPCB2jXB5AUL6LyUP0OdgaWnJ/BHKQFpUhJycHOariomJ4c2Ny5cvw8jICHZ2doiPj+f53hISEhAZGYmOHTti1qxZoj8bafxu5AE6RnJzc5Geno4DBw7A1taWkQeUTXlAbJv6V2H8+PE8RUYKet+vXbsGQ0NDWFtb85SduCRgoPBMK5FIMGXKFKWe/yqoUFKoiAMqqCAw6OaRmZnJWOZ2dnZYsmSJQim3+Ph4WFlZwcHBQfQME6Awq9fDwwOVKlViJIYnT56gR48eIISgX79+AIApU6aAEIJSpUphxIgRoigPxMTEgJBCuf4VK1aUKPAuLzP39evXePbsGV68eCG4AXDs2DF2IP/jjz9KRICQ7kNycjL27duHFStWYMmSJdi0aRO+fv0quuF37NgxWFhYQEdHB/369fsp8oDYdbWlHbny7uWHDx9YSQU3NzecOHGiSPKA0Hj27BkcHBxACJGrnvH161csX76cZZH16tWLEYXkHV6ysrJYfXfp7ORfiX9LP+h6NWTIEMYwp+vlgQMH0LRpU+ZoWbFiBfucIvIAvSfR0dGC9UEaeXl5GDRoEAghGDVqlNx5cu/ePVaPnoJbU7hOnTqiBOEjIyOhpqYGT09PHDx4UOF1XPIAVR5wd3fHiRMnlO7AePr0aUYqcXd3R5cuXeDs7Aw1NTWoqamhWrVqOH36NG9MUWm+smXLik5cBPjj/cyZMwrvMZ1Ps2bNAsB33tWvXx8TJ05EfHy8wiDLr0BR9s+rV68QHR3NnEVRUVFsv5fOVFYG0LWzJCUeTp06BSsrqyLJA8OHDwchRNBSC5MmTQIhhXWPqf3B3RNOnjzJggg5OTmYM2cOJBIJT04eKFwrCCHQ09ODnZ0dL7jyq0Hb+/jxYx6RJyUlBeXLl8eoUaPYfX7+/DkjoZUrV46XWSnPKX7r1i3Bgj/yQNtBM3atra2hrq6OqKgomfIpFFzyAFXWatKkiWBtVtSezMxMzJkzB8HBwXB3d4eXlxdWrlwpE2BURB4Qey/hOrYBIDAwEI0aNZIJun/79o2R46XJA2fOnGH2MCVGiYUePXpAW1sbb9++5b0+depURqIjpLBk3eTJkwEU2lYVK1aEpaWlKGSa4kD3vJEjR8olplCsXr0ahBCsWbNG1P2koKAA3759Q/369WFsbIwrV67w3p86dSpbn7lS+YDykGmAf9YPbukR6fd+NSiRp02bNoyAT9dcOn7y8/OxevVqtgaXK1eOV8rt+/fvWL9+PUJCQtCqVSuEhYVh586dMkqCvwoXLlxAnTp1YGRkxNQRrK2tMXfuXHYNJXS4uLjIlA4EfvR5/PjxIIRg2LBhvNeVBdQfRNsHFLbR29ubBX5piYLc3Fxs2LBBKQK63Mx2KsPu5+eHyZMno1OnTowcQMiP2uEUXPJAYGCgjDKBUJAmX8jbv6TLFpQpUwbnz58HoDx2uzTOnz8PExMTuXu5t7c3tLS0EBUVxWzLovYVZQB3zv4u5AEuqaZHjx4oX748ypYty1O9bdiwodKQB8LCwtCgQQPm1/83QNqeoOen9evX865JTU1FREQE1NXV4ePjg4SEBJm/tXz5clhaWsLDw0PGt6WCCr8rVMQBFVT4hShuY3/27BlzTpiZmaF169bYvn07nj9/jlevXuHGjRvo1q0bdHR0YGVlpTR1az9//owOHTrg8OHD7Hcq3cN1CD969Igd5CwsLNC/f39RshMnT54MLS0t6Ovr/zR5QJFjQmijbeLEidDV1f1bfVBmZGRkYNeuXahUqRI0NDQQHh5eLHlg6dKlIrX2B7iO4MWLF6N3797w8fFBREQE/vjjD961XPJApUqV5JIHxAANGBw+fBhbtmwBUBgw58pzAYX1HZcvX45SpUpBT08P48ePZ4dLRUF3eSUDfhX+Lf349u0bOnbsCF1dXZibm2Po0KGMPEBx5MgRtG7dGoQUymJzs2rkkQc2btwIFxcXUTPjPn78iCpVqsDJyUlmTVq7di06dOjACGbBwcG89798+YJ27dqJIoVPA4qBgYEySiDygrjUmcItW6BM5AFuG9asWQN9fX2eAk2VKlUwZswYPH78GEDhnKDz4uXLl7C1tYWtra0oGXGKEBwcDAsLC2zatImtqdxnM2LECEgkEhliwKZNm6ClpYUNGzaw1361chCXcFGU/fDy5UtER0fDxMQE9vb2WLZsmUy5ArFx8OBBGaWdzMxMXrBEXltPnz7NyAM9evRgr0uXWBIK6enpGD16NGxsbCCRSNC2bVtmf9AMauCHrO+3b99Qrlw51KxZkykQUCJUXFwcypUrh549e8LKykpwku+tW7eYIg1Q+Dxo0HzixIk8Z++LFy/Qu3dvEFIoL1sceUAZkJiYiLlz52L16tWoWLEi1NXVMWzYMJl6utLj8v379/Dy8sLVq1cFbzO3HampqahXrx4IIdDR0YGxsTEIKSxtU6dOHWzdupX3OS55YODAgWI0XS7S09NRt25dDB48GGXLlmU2l/RYSUlJ4ZEHaK3Xr1+/olWrVjJkCSGRn5+P7OxsFmzbuXMnvn79inv37qFhw4YghMDGxgahoaEICQmBuro6ypYtiydPniA7OxtxcXG4d++eaO2nkKdEs337dmhqakJbW1uGvESvO3v2LKpWrYqyZcuKNi+4uH//PtTU1GTIWBMmTGDqFNzx8tdffwndxBLhZ/vB3S/j4uIwZcoUwdoK/CDqderUiXdGkLcHFBQUYO3atahUqRLU1NTQvXt3Qc9HinD06FGmctCgQQM0aNCApyRFy1B9+fIF1atXh56eHhYsWMCC6wB/7YqLi2NrgjLi7NmzMvYTVZTkkgaAwmdmb2+PLl26KMVenpOTg44dO4IQgvHjx/POJLdv32YEZUIItm3bxvvsyZMnYWdnBy0tLVEIW7StGRkZGD58OFq1agU3NzdMmTJFZj2SJg9w9z9lseG5oCo6tGY7UDgn5I2rtLQ0JCUlKcWZtijCMvc9ZScPSCszGhgYoFu3bjh16hR27dqFgQMHMsUXZSAPvHv3DiYmJiCEoH379v9a8gBVqZFWZwMK9+4WLVpATU0NpUuXRr9+/XDixAkcPnwYffr0gb6+PiwsLJTCTlRBhf8VVMQBFVT4H0O61mZWVhZ27dqFmTNnYubMmUhISOAFfb99+4ZmzZpBS0uLbVA2NjawsbFhrzVo0EDQrNeiwJWSpiSA27dvw8rKCk2bNmWbLu1j/fr10aJFC5iamgoedOAaAHFxcX+bPCCmYfm/6oMyHBoVITMzEzt27ICbm1ux5AFtbW0QQrBy5UqRWst3BFNZUC0tLV69t7Zt2/LY6B8/fuSRB06dOiUqeWDQoEEwNDTk1azLzMxEjRo10LJlS5lA7devX7Fs2TLY2NjAyMgI48aNKzLoLhT+Lf2gePHiBcLDw6Gvrw8TExO55IGjR4/C398fEokEQUFBvGw+eeQBriNJKHDbcfPmTejo6KBOnTrsNUo+o0oq5cuXh5mZGZNxBSA3ECwUjhw5AkNDQzg7O8sEOEoyTqSVB06dOiWqo4Xey5SUFMaOP3LkCMaOHYvQ0FCMHTuWJ3UvXS7p3r170NfX5z1DsfH+/Xv06NEDurq6qFKlCjZu3Cgjy0qzL93d3fH69Wvk5eVh8+bNqFSpEhwcHAQjYw4aNAj+/v6YMmUKb99WNLZfvXqllPYIUNgXExMTniMlKysLVatWRcWKFXHixAn2ury2bt26lRFKuQEWsYiOHz58wNSpU1mpAWnyAPCjH5s3b2aKNdzXAaBVq1Zo0qQJXr16JUpAJSkpCRYWFiCEoHXr1nB1dYWmpiamTp3K1Aa4a9fLly/Rq1cvEFJYSkkReUAZsX79eri4uCgkDwCF+86rV68AiLe30/uYkZEBLy8vaGtro2/fvrh16xbu3LmDyZMn8zITaRCe4syZM8zmpbW5xcbGjRtBSGH9dgMDA6xduxaAfJI1lzzg5OTEyj6JbWvR57JmzRpoaWmhdOnS8PT0hLm5OfT19dG9e3emQvDhwwdm59NscLHmh/R9U3SGoFnkOjo6WLlyJSMDAoX7PiWwSJOcxcKNGzd46yrwI/NbOtgOAM2bN0f37t0FbmXx+Dv9CAkJAcB/tkLMj6ioKBBSWFqHBjcUfS+XjEX7Y2lpyYgPXHtRUVmlX4EjR45AIpGgfPnyWLNmDXv94MGDTHrdwMAAx48fR05ODmJjY6GhoYHy5ctj5cqVLABH23r+/HmUK1cOpUuXFoWszIWi+/fo0SPo6emhVq1auHnzJlOBGDNmjMxZb9CgQdDU1JTZV4SC9Fi4fv06TExM4Ofnx2wSrt2XlpbGyCyVK1eWIf+fOXNGFNVVrloCTfai+zIl8XOD7oAsecDJyQlnzpwRvO3SoOdQ7lynxCZ6NszJyZGrYAEU2o12dnbYs2ePsA2XAjd5Jz4+HiEhIWjevDlCQ0Px+PFjmbVM2ckDeXl5rARaVFQUT4ktPT0d586dQ5UqVZSGPHDjxg24urqyM9O/gTwgragF/CCSySMzXb58GaGhoSwJQyKR8NYEFWlAhX8bVMQBFVT4H4ErBUYze9LS0tCkSRNeVh8hBFWrVsXBgwfZRpubm4vly5ejT58+sLW1hbGxMUqXLo02bdpgzZo1gsm9SUORMSX9OnVScLN9KWxtbTFkyBBs3bpVoazor4Q0k7wkgXd9fX2lctb/nT4oW8BB2riVbos88oC0vNO3b98wbtw4mJmZiSady3UEe3t7Q01NDaGhoXj9+jXu3LmD69evs4BhcHAwUlNTWd+55AFbW1vRDpGU1R8UFMSbk2fPnoWLiwu0tLQQEhIi4zj59u2bUgXd/y39oKBj6+XLl+wwoog8cOzYMTRu3BgSiQTt2rXD5cuXZf6OULh//z7+/PNPrFu3jqnQcJGSksJkJsPDwzFq1ChWMqJx48Z48OABPnz4gD///BMGBgaoW7eu6CVU6GFx3bp17DV59eWXLl2KIUOGYNmyZTKqDlzygKOjI86ePStI26XBzWZwdXWFpaVlibKpuHOhX79+IISwjDhlcLQAwNOnTzF06FBoa2ujUqVKPPIAUEjuoo6+0qVLswxsHR0d7N+/X5A2crMWqET3uHHjZIII0kEgZdzLuWsu14F7//59NGnSBGpqaqhbty6OHz/O3pNu6/v375lTkhCCdu3aCdZ+Rfj48SMmT54slzzAnQcHDhxgWTZc9axly5bB1NQUo0ePFrrpAH608fXr1ywzSU1NDTExMXIdxRTS5IGjR48K2m55KGoP5par2bRpEyMPDB06lBccXbVqFapXr85qi4otxT5u3DgQUigfL22zX7hwgQXXa9WqxYJxdD04fvw4zM3NmYy42Pjw4QPmz5/Pyt00b95cLjGFIiUlBd27d2eqNhkZGYLaWfK+i46Ht2/fYubMmTAzM4OOjg5atWqF3bt3szJWFB4eHihfvryopRW4+8OBAwcQGxuLVq1aoV+/fjhy5IiMmh8NQmhqasLFxQVBQUFo2rQpc25zZdyFmh/cZ8H9Thpw9/T0RGZmZpHB9k2bNoEQgkmTJgnSZnn4X/YjLi5OsHZT3Lt3D9bW1iCEwMPDAwcOHCg24M8tX0AzkQcPHixUk2Vw/PhxqKurw83NDTt27JB5/9ChQ2wvXLhwIQDgzZs3jLDs4OCAnj174vLly3j+/Dn27NnDatMvX75c6O7wwCXAckmI+fn5SE9PZ32wtraGmpoaxowZI7NmLV26FBYWFmjSpImgKk5AoT9HXmm5DRs2gBCC6dOnA5Avef/48WPUqlULWlpazB4Rm2gGFLa1devW0NXVRVhYGB49eoSEhAQEBwdDQ0MDTk5OMiUWKHmAErWqVKmCzMxM0ewRbtLL4MGD2Tlwzpw5TNkoIyODzQNp0gAA9OzZE4QQHkFYaNB+pKWlMYUgLS0t6OnpsbPe2rVrWXCdgkseqF27tlyJeSEg7/l//vyZEdrpfJVONrh48SIqVKgAQgrLfNDrhJ4f9PuuXbsGZ2dnEFJY6uZ3Jg9w50bjxo15ZzmqPimPPPD582ecO3cOvXv3RteuXdG3b19s2bJFqZQZVVDhfwUVcUAFFf4HiIyMRL169VgdK6DQoKHGV9OmTTF//nwMHDgQbm5uIIQwCVoqd0rx6dMnJCcniyLpzwW3lld6ejqePn3Ksne41xQUFKBbt24ghLA6sEChYTRr1izo6uri5MmTgrZdGn838O7q6oolS5YoheT/PyFArF69msdeFRq07VlZWbh16xZ7XR55YOfOnXB1dYW2tjbCw8Nlxtz3799lDgNCo6CggJXmGDJkiExNuOrVq8PW1hYDBgxg79G+fvz4ES1btoSOjo4ozPkhQ4aAEIKOHTvKJV8kJibC19cXampqJQq6T5w4UcZhIQT+Lf2Qxt8lDwQFBYlCHpg7dy47ONKfyMhIdmiiB9+jR4+yGq6EENSsWRPx8fG8fe7Ro0fQ1dVFw4YNBWm7ImRmZqJ+/foghOD06dMAfpDhcnNzkZycjLCwMBgaGvL6Xa9ePV4tPKCQUEidGfKyYoVCQUEBwsPDYWxsjKioKJk1SxrScn16enpwd3dXyprOT58+xZAhQ6CjoyOXPPDixQv4+flBX18f5ubm8PPzY4FtIeYJJaEYGxvDwcGBZSfo6uoiOjpaJnOH23Zl2suLW3Nv3LjBZGgVkQeoLRASEgJ/f3+oq6uDECJTY1wMfPz4EXFxcYzsExgYyMiL9Jncvn0bbm5u0NbWxrBhw7BlyxYMHjwYRkZGcHBwEHWOU9CAECEEAQEBch34XHDJA9bW1qLa61yltv3792PcuHGYOnUqb13lzlkueaB///44c+YMFixYADs7O2hoaChNxo+/vz/MzMzYfsfNzAWAS5cuoVGjRlBXV8f8+fPZNXS+iE2kk8aHDx+wYMECRh6YOHEiG2fynNjfv39H3759Bc/ipeMpOzsbZ8+exdGjR+W24e3btwrHyuzZs0EIQe/evUVbe7n3dOzYsTx1M0IITExM0LdvX5n9eerUqfD19WXXaWlpoXHjxjznt1BBB+73UPuD62do1aoVtLW14e/vD0IIWrZsKRNsP3v2LCpXrgxnZ2fRSiz8W/qxf/9+VK5cmakOcMeEIruIzieq5ETVEoTGxYsX2ZiOj49nr3PLCwFg9sioUaPYa69fv0afPn3Y2qWrqwsjIyNIJBJoampi3rx57FoxArxcSfwRI0agTJkyMsSIXbt2MXUhHx8fmTVt2rRpsLS0hIODg6AJO3v27MHo0aPh6+uLhg0bYt26dbx1dfHixcyGLMouCQsLAyEEkydPFqLZCsEN3L579w6lSpXC4MGDeT63Bw8eICoqCpqamnLJAzk5Odi5cyeaNm0qU/JODGRkZDAy9YwZMwAUls21traGjY0NI/WPGzdOxg+9YMECGBkZoVOnTrzSa78alLzAtYnS09OZ2kbnzp2RlJSEd+/eMVvWzs4OCxculPGx37lzB3379gUhhWW9hPT7bN++Hc+ePQMgu7Y8fPgQenp6qFGjhkJ1wszMTMTExLASVo0bNxYlsZDbvufPn8PFxYWdmX5n8gD1/airq2PQoEG8ea6IPKAMpCYVVBAKKuKACir8Qzx9+pQZL+3atWM1p//44w/o6elhwoQJvM0nJSWFHWZKlSrFJLblMW8BcQ8u6enpGDJkCNzd3aGrqwsDAwN0794dmzZt4l1PM+ratWuHw4cPIz8/H9OnT0epUqVQrVo1paiD97OS//RgXKZMGZngtVj4O+QBU1NTmJqaygS0hAatt+vj41OktHpGRgbi4+NZfSh5ygNiIz8/H97e3jIZSHl5eWwtiImJYe9JB+k+ffokSp9o4KdDhw4ygR/uQWDfvn2oU6dOsUF3BwcHEEIwdepUQdepf0s/APnr+98lD3Ts2JHtP0KASkoaGxujTZs2aN68OTtYxcbGylz/5s0brF27Flu3bkVmZqZMhjU9EM+ZMweAuFntrVq1AiEE0dHRLGjz6dMnrF27Fn5+fiCEQF1dHa6urvD392eylbVq1WLrG93TX716JSO5KQToXCgoKEBGRgY8PDwQHBzM+lOSA++MGTNgbW0NMzMz0YJwJSnx8PTpUwwePJhHHuB+Lj8/H0lJSXj16hVzhhUUFAgyxrKyslClShWYm5tj6dKl2Lx5M5PRpT8dOnRAQkKCXCcQLVsg5l5e1JrLncdXr15l9q2vry8vK4nrKHZ2dsa4ceNw5coVwedGUeM+LS0Ns2fPho6ODnR0dHjkAYoFCxbAysqK9/wqVqwoozgiBk6fPg0/Pz/07duXZVsqcuZx78OrV68QFBQELS0tXua+kOBmkQUEBPDKt9HzxZMnT2Tm7ObNm1G9enVIJBLmULWzsxOsDElRyM/Px+PHj5k9++7dO177uf+fN28eCCFwdnZGenq6wuuEQnH7w/v37zFv3jyYmZnBwsIC06ZNK5I8IHQfuOOpadOmrA66uro6xowZozBgy13PlixZAjs7Ozg5OYlGCuLeN3ou9fLywt69e/H69WusXbsW1tbW0NPTQ2BgoAx54Pv377h69SouXLiAx48f884sYji9+/bti8qVKyM5ORnAj/u9dOlS6OjogJBCVUZK2qQ4ceIE/Pz8oKmpycpjiInftR/c8Z2YmMjkpn18fHjlh4qarytWrGAZykIjPz8f8+bNYwQ5f39/tmfRNtN1KDAwEIQQLF68mH0WKMwS3bt3L4KDg1G9enWUL18egwcPxp9//sn7HqFBbda0tDQ0aNAAampqKF++PHbu3ClDili8eDEMDAxYclJkZCQmTZrEMrDt7e0F3QMnTJjAk++nZ8P27duzEi8XL16EgYEBatSogZcvXwLg32f63FavXs0LbIsBeq/T0tKwatUqxMfHQ1dXl9no3PPFy5cvMWrUKGhqasLR0VEueaA4svavBPceL1iwACYmJoiJiWF+w+zsbMTExLDxFBgYKHMWWbhwIWxsbODs7Cxo0ku3bt3g5+fHey0nJwfdunWDjo4OoqOj2b19//49U/UkhMDCwgILFy6USTZKSkrCwIEDcffuXcH6MXfuXEZApGOfO59fv34NExMTaGpq8sqGSePo0aOM5Esz/YVcq7jEptWrV2PmzJnw8fFhJPD27dv/VuQB7n64Y8cOGBkZISYmhvlJuLEZReSBvLw8hSpEKqjwb4KKOKCCCv8DnDx5Ei1atIBEIkGbNm1w/fp1REREwM3NjcdEpxtuSkoKr965MmS6UnCdLR4eHsyR1aJFC7i6ukJLSwva2tqIjo5mn7lx4wYLpmhqarLMUjs7O8GdqSWVOS0u8P7y5UtERkYiMTHxl7W1OMiTDuQaMSUhDwwaNAilSpUSpUwE1yBLSkqCh4cHJBIJWrVqhYsXL7L3pI2slJQUpsxhbGyMrl27CpqRWFBQwMaRPAPw0aNHIKRQzpiCkgnkybvt378fS5YsUfj3hMCIESMYM1v6sCQvMLd///5ig+7z58+Hi4uLoGUj/i39ePz4scL6tIBi8kBkZKTMoezYsWNo2rQpCCHo3r27IFlxNJAYEBCA69evs9fnz5/PDlZcBQR5feWuZcuXL4elpSWqV68uKlGI3vc5c+ZAS0sL5cuXR9++fbFjxw40btyYZfnY2dlh//79rK179+5l2VtUhhNQXINYKKSlpSEkJATz5s2DgYEBc0gUtU9++vQJN27cQJs2baCurg4XFxfRgqLc9XLPnj1FKjE9ffoUgwYNgoaGBtzd3bF+/foSkQ5+Jaizl0oWh4aGsvd27tyJUaNGMUUKLS0tVKpUCVu2bJFZp168eCHaXv6za640eeDgwYO89+fOnQsjI6MSlcv4X+LYsWMKSTPcfgQFBbFMRLrPSwfjduzYgejoaHTo0AGzZs1ijkCxkZOTw8bHo0ePUL58edYH7r4hz1n/5s0b0ZQfuDWE6bmjWbNm2LZtG/bv38/60ahRI1y7dk3Gjjp27BiGDRuGmjVrom/fvqKRH+QhKysL7u7uMDMzY4pb3PFG+5KcnAx7e3uUK1dOxpYXGrR9OTk5uH79OtauXYtdu3bJyBNT8oCpqSnMzc2LJQ8IDa7ssoeHBwICAqCtrQ2JRIKAgACeugZXip2qChkbG4tyjpUHmozQrFkzXgb7jBkzoKOjAw0NDUawoetVUcRUMcoTZGRksLlcr149FnSniIiIACEEenp6iI2NxYEDB3Du3DnMmTOHBUoosVTIPvwb+jFjxgxmk3P78jPkAbou0JJFtHSV0Pj27RsWLlzIyHGNGjVi5zfufmZrawsfHx9GuJZHFs3NzZVRdBFj7eLugdWrV4empiYiIiJkFC+5fqyNGzeiYcOGPJKdg4MDunTpImhwl54HXVxcMG/ePCxbtowRybW1tdGtWze8evUKb9++ZeXCpNUquOfBHj16QENDg6daJQZyc3NZudkOHTrAw8MDubm5csfHixcvMHr0aEYeUAZyE/DjDJqdnY3k5GQEBwfDw8OD9YH+e+fOHXTq1Ak6OjooV64cRo8ejfPnz+PPP/9E586doa6uDktLS0H3QuprMzExYQSs/Px87Nu3DyYmJmjXrh3znz98+BBdu3YFIQS9evXC1KlTWYLeokWLZJIuilPi+l8iLy8PW7duRaVKlaClpYXQ0FAeeYCuSb169YKamhqio6Nl5j19jk+fPoWTkxPWr1+PBg0ayKjZ/Op+AIVrVO3atWFsbIyyZcuiU6dO8PDwYDbI70Ie4Cp6XblyBRMmTICzszNbi+j7XD+OIvKAiiygwn8BKuKACir8A3A3ipMnT7LgTYcOHeDl5YUOHToA4BsoXJmlatWq8djQyrLxZGVloXHjxlBTU0NUVBTLUKDZ4JTNfODAAfaZU6dOoV+/fjA0NETVqlXRpUsXwTM0uJv77du3sXv3biQmJvIyS34m8C5WPWHaD/q90lJbXIOyuD68fftWMCmr79+/4+7du7h9+7bc4OWlS5d48o3yyAO0b126dEGzZs1QunRplqklJOh9pO3iji16mPH29gZQeLhURBoAAHd3d7Rq1Uo0ZzDNUqpUqRILSHFrKFIEBARg1qxZ7PcDBw4UGXT//v27oCVV/i39GDhwIDw9PXHs2LEiHVTS5AFdXV3Y2tpi0aJFyMnJ4X324MGDCAwMFIRBT52G3Oxj7uG3Xbt2IITwCAUU8gLpY8aMgYWFBaytrUWXlqbtu3//Pho0aMAkgaljrmzZsggNDWX3mdsfKmkcFBQkqFMCKKyTzSUg0mcxZswY5tAzNjbGsWPHeO9L4+PHj2jatCmMjY2hqamJjh07KoX8ekhICAghmDVrVpESmbdv32YynF5eXti0aZPo5AEAuH79OhtD0gHzO3fuYNq0aSwQoa2tDXt7e8TFxeHGjRtsjL1+/VpwWcq/u+Zev36dkQccHBwwf/58XLx4EWPGjIGpqSkqVKggaNmL0aNHQ11dHXFxcTL12Ln9oITerl27IjIykpUtkEceEBuK5jD39Zs3b7JSMtLkAaAws2/SpEmC10CWh6ysLLRt2xY6OjoYM2YMs5cyMjLQpk0b5qzz8/PD9evX5fY/LS1NoXqbWMjMzGRBlMDAQPY6l1QOFMr/m5ubw8fHR5R2UnCdwx06dGBkOfrTp08fnDp1il3/4cMHHnlg+vTpMo5XoUHHxrJly2BhYYFx48axrMR9+/YxlSZ/f38eeSArKwuJiYmoWLEiy2YWWhFFXnDz+fPn8PLygqOjI8vezc7OxowZM6CrqwtHR0fs3r2b+RS4SiliEji4a+v169exZ88ejBs3jmXk+/r6ygTdo6OjYWdnxxtzampqMjLgQvbrd+/H2rVrQQiBo6MjCzT9LHmAe72HhwdcXV1FUZOk7UlJScH8+fMZeaBx48Ysw/779+9wc3ODvr4+li1bJvfcIX3flcH/lpOTw2yQcePGyS1RI23/vnnzBteuXUNCQgK2bNmC169fC5qMRM+D7du3l5HiHzBgAAghMDU1xeHDhwEA586dY+eqbt264f379zwbfcWKFdDT04OXl5coMuzSmDZtGsqVK8fmcFGqfpQ8oK+vD1NTUxl1VrGQkZGBGjVqoFu3bqhVqxZiYmIAQCY4fevWLQwaNAhmZmYghLBAsI6ODpo0aSL4Xpiamsr8CdyyFZGRkSCEsPHx8uVLhIeHM/sEKJzPtOSgnZ0d4uPjRbVzs7KysHfvXlSpUgXq6uoy5AEAWL9+PRtnS5culWvLxsTEwNjYGK9fvxZlzcrMzGSqJuPHj2f+zo8fP+Lw4cMwNTX9rcgDWVlZqFatGsqXLw9PT0+0bNkSgCyxRBF5YOPGjYK2VwUVxISKOKCCCv8Q0uQBf39/SCQSEEJ4tZq511Ejmda+HT16tHANLgHWrVvHsle5wc6CggJ4eXlBT08Po0aNkgm25efnIzk5GXl5eYLXguRu6iNHjmTy44QQGBoa8hQSuIcUbuB95cqVosqJAT/alpmZiXHjxqFp06YwMzNDq1atWO1T7nVA8eQBIbBs2TJmTGpra8PV1RUnTpyQkXC6ePEijzzALVvANZJdXV0RFhaG/fv3C5o9tnfvXkRGRqJixYoIDg7GjBkzZOpYZmVloXbt2rC0tMSFCxdQu3ZthaSBUaNGgRCChQsXimLkv3v3Do0bN4a2tjasra0xc+ZM5ozgHhq7desGQohM7TrpoLtYNfr+Lf148OABW5eaN2+O48ePl4g88Pz5c7Rv35459qj0HnfdE2LeDxs2DIQQtG7dWq4yQG5uLoKCglCjRg1s3LgRK1euxOLFi3Hq1CmeAzIzMxPbt29HhQoVWDag2KQBrgTfhw8f8OrVKwwdOhQuLi6oVq0a2rVrh7NnzzIilzTZacOGDSCEICwsTNB2R0dHMwKi9P517949dO/eHSYmJnL3dHmYPXs22rdvjx07doh68Oeul1OnTmVkhuLIA1RGV1tbGw4ODqKX6aEYM2YMJBIJq7fLJf/s2rWLBam9vLzYGuHm5oaGDRuKUuri76y53P0vKSmJ1arl/gidwfvu3TtWP97e3h6TJk1i9im3H126dGGOx0+fPiErKwuTJk1iwR8ueUBsJREueePLly+4dOkSvnz5wuZFXl4eu0aaPECdrRs2bICFhQW0tbVlgl5iYNWqVTAwMEC3bt1Y4OP+/fssi6xjx45M2czf31+u8oBYKK4dN27cYJnGQ4YMYa9z9/4pU6aAEILIyEjByqhIg0tsd3d3Z9m8c+bMwbhx41hgunbt2ti/fz/73KdPnxh5wMbGBuPGjRONwMG9b7169ULNmjVl2nL+/HkEBgbKJQ/cvHkTkydPxtKlSwUNXB09ehT79u1jv3P7cfr0aVhYWGD58uUACm2VJUuWwMjICI6OjmyfHj9+PCQSCQwMDBAUFCRqmT3u2B47dixbRxs1agR9fX0YGRmBEIK6devKrD9nzpzB3Llz0bVrV3Tp0kVGhUdI0sC/oR/p6ekICAgAIQTly5dnpN6Skge484cG7UaPHi0TeBQKisgDzZo1w9WrV1GtWjVoampi8uTJoiWA/B1cu3YNFhYW8PX1lSG8Hjx4EMOGDUPp0qXRtWtXrFmzRqRW/gAdC+3ateMRjOl4ycvLY/6RsLAwNt727NnDyAPe3t4IDQ3F2rVr0b17dxgYGIhaGo1CuowQJZOFh4cXua6+fPkSgwYNgpWVlShKn/Jw+PBhWFhYsHvevXt3hdempKQgKSkJI0eOxJAhQxAVFYXjx4/LJDAJhTVr1oAQAn19fZYElp+fjy1btiA7OxsFBQVYvnw5NDQ00KlTJ95nV69eDXV1ddjY2IAQguXLl4tKpMvKysLu3bvlkgcoKFmbEIKJEyfi/PnzAArH46JFi2BnZ4dGjRrJ+Br/11C0Xu7cuZP5b7nlEOn1V69ehbm5udKRB54/f45z587h0KFDPPLP8+fP0bZtW0aS8fX1Ze9JjxXuuY/a6xoaGkhJSfkt9hcVVPinUBEHVFDhH0DeRnHy5EledgyXcSrN3N66dSsIIRgwYIAwDS4hwsLCIJFI8OzZM/ZaXl4eL6uaOijT0tLkZiSKJSFI2anly5dHZGQkxo8fz2ovde/enTkkuYeySZMmQV9fn7E8xTIsqVGSmpqKOnXqgBACc3NzHts5NDSUOe+l+6ClpQUTExMsWLBALlP9V4EeHrW1tVGuXDkWAHFycsJff/0l09aLFy8ydY4WLVrIyJ/OmjUL+vr6vHqDQmDChAksg4T+aGlpISAggBnpdFzTAKquri7U1NQwZcoUGQN5xYoVsLGxga+vryiZGRQ3b95Ex44doampCRsbG0ycOJF36KABk7CwMLl1Bw8cOABfX19oa2sjICCAye0KjX9LPw4ePMiCCE2aNCmx8sC9e/fYAVgMuVZ6YKSZIjQAnZeXx+Y3d+3i/piZmSE0NJStcd+/f8f69etRs2ZNREVFiVqeAPgxTlJTU1GzZk3Url0br1+/Rn5+PlJTUxUGqrnPjWbL7t27F4BwzyU2NhZaWlowMDCQSx54+PAhQkJCYGBggLJlyyIhIUFuUIfbXqEVE4DCeylNNONi0aJFMDIygpqaGmbOnCnzTOgY3LlzJ0qXLo3Q0FCoq6vzgkJiYvfu3SCkUL6YS1xKTExke/zcuXMBFPaBK0ErlgPy76y53HGUnp6ODRs2oE2bNggMDERkZKQoChZJSUm8fsTFxcntR58+fXiOvA8fPmDKlCms/Fb79u1FL0tAx3l6ejoGDRrEpH8dHR3Rvn17llHKJQ8kJSXxgkJNmjSBvr4+LCwsZBR4hID02piVlYWWLVvCyMiI2ejPnj1D7969md0LFBLvqK3eoEEDhcoDQoJL4khOTsb58+dx+fJlXtA5LS0N8fHxjMAVFBSEp0+fMgLgvHnzYGNjg7Jly+L58+ei9IMiJyeHzYcxY8bwbPcrV67A2NgY5ubmWLJkCW8f+fTpExYuXMjGonRd4V8NeWSe8PBwREREACjsF3esXLx4kUce4MpiZ2ZmCkYOKigowNOnT5mtxD33cFXnVq1axdT/Ll++DFdXV9jb2/PO6Xfu3IG6ujoLZjdu3Fh0MvzEiRNBSGEtZqqW8PDhQ6xatYqtXfKC7oog1nz/XfvBJcQGBgYy/8i1a9cAyJIHaIDUx8cH27Zt481/quDh5eUlugKPIvKAgYEBNDU1MXfuXDb2laFsSklAM44puRQo3BvDw8NhbGzMO1PZ29sLXu6Ji1mzZoGQwnKSCxYsYK9LKzlR8iglzNHndvbsWTg7O/N8LhKJBN7e3qKQBrjzUZ4a1YIFC1C6dGno6elh8uTJRfp0xFAHKw4JCQmoVasWI+8qy7lIEbgldVq3bg0NDQ0sW7ZM5rr09HRUrlwZzs7ObO2l59cdO3bA1NQU/fr1Q5kyZfDgwQPhOqAAWVlZ2LNnD6pWrQo1NTX06dMHL1684F1DyQMSiQSmpqZo1KgRatasCUIIrKysfvn8kDf+KSZMmMCSoQA+qYx+7tSpUywQ36ZNG9HJA4sXL2ZEWPozePBgNl7u3buH/v37s/eoCjQgu09Lq0wKWSpCBRXEhoo4oIIKfxN088jNzZWRBTt+/DgjD9SrV4/nkOAytPv168dYkIA4B2Jpw+Dr16/w9vaGnp4eq5FWVP32c+fOYcCAAUohZ0xl0Xr37s1zvoWEhDAVCEXkgdjYWEgkEiQmJgreboBfa8nHxwcaGhoIDQ1lzreEhAR2wAoJCZHbB8qALFWqlGDS67S2XePGjXHp0iV8+/YN9+7dY0ZanTp1WHaftNOOkge8vLwwZcoU3Lt3D9HR0TA1NYWrq6ugwUQqt1exYkXMnz8f8fHxqF+/PjusDxw4kOd4zM3NZQFSU1NTXj13oDDzh2ZfKcNh5datW2jfvj0LnEybNg0A0L17d5mAibwaqAcPHkTlypVhZmYmqsPod+4Htx2HDh1irGxKHijKUU3Xh8mTJzMmutB48eIFwsPDYWpqCmNjY0RERMjUxA4ODgYhBNWrV8fatWuxePFi+Pv7s2DP6NGj2X3IyMhAcnKyoCSnopCTk4M2bdpAU1MTkZGRctvFdUByn9f8+fPZOiiGw4jWOdbR0SmSPKCmpgYPDw8kJiYWSx4QCrdv30ZCQgICAwPRqFEjtGrVCqGhoUhMTJRxzi1cuLBI8gBQqDhUqVIlPHjwQJTa1EVJ4NL5ERsbC6CQzCRNGqB4//49Ll++LGitWnn4O2uuNOSRHYXGz/aD9uXjx4+YMmUKypQpw+wvsRQHuDLy1JHo6OgIf39/5hQ2MzPD2bNn2fX0M7dv32ZrsaamJry8vAR30Bf1/E+ePMnqAmdkZGDGjBmMpMZFaGgoc6pWrlxZNPUggE/iCA8PZwo6hBC4u7tj0KBB7Nrk5GQsXLiQkQZtbW1Rvnx5uLi4MGc+ldoWE5cuXYK5uTkaNGjAU6fJz8+Hj48PtLW1MWrUKLnO4A8fPmDp0qWC27zc4OjkyZMRHh6OTp06wdfXF/379+ddK30Oadu2LSQSCZo3b46DBw8K2m4uhg8fzsYOVR4oKChgfePOnWHDhkEikbCscJp5+fnzZ5QvXx5Tp06Fs7MzZs6cKXxHOLh+/TpMTU1Rrlw5Nra5QYnr16+jRo0aLNOP7vfKVm7kd+8HDaRlZWWhQ4cOIISgXLlyxZIHvL29sXv3bgCFCjXW1tawsbFhJcrEgnQSDiUPUGUdR0dHpqqgDKWqSoqLFy9CT08P9erVw5YtW7B27VpUqVKFnalOnDiBxMRE9OzZU7RzIMX169fZ3uXh4YFt27ax/SI/P589ozZt2kBNTY3nW6PP7dWrVzh06BCmTp2KmTNn4tixY6LIyUuXB3358iVv7aVYuHAh7OzsoK+vXyx5QCxInz+4v2/evBnu7u6QSCTo1atXkfs0d58Uk5xZUFDAfJuVK1dmZz7apiNHjoCQwhJW6enpvLZ26dIFNWvWRG5urujBay5KQh5YuXIl2rVrx8jjlpaW8Pf3/+W2VXh4OJo0acL2DOmzDpXpnzJlitzP5+fnIyMjgynL0mcjZDlQLkaMGAFCCNTV1VG1alVeIl63bt3YeEpKSmIxhPLly2PXrl3sbxRFHlBBhf8SVMQBFVT4B0hPT0ejRo0wYcIElglAcfLkSVbX0s/PD9u2beO9v3z5chgZGcHZ2Vm0bEu6+aWnp/Nkz9q3bw8NDQ0mTUUdkvKk2P38/FCqVClRJRGBQvUGU1NTtGzZkjl/379/z5wxnp6esLKyAiEEPXv2lBt4p1l9YhnJubm56N+/P7S1tTF69GjWxrt37zJnqZ6eHggh6NWrl9w+zJo1SzBnMCUNdOjQgX0nPaQ8efIEVlZWsLe35x2uuPf28uXLCA4OZoQINTU15lAVMuBD+xEUFMRz3D58+BARERHQ1NREjRo12IGWW3OayvDZ2toiKCgI3bt35zn0xQhccSFdm5MGTuzs7JjsbL9+/RjRRnrsc38/cuSIaNlw/5Z+cOfqgQMHWP3g4pQHaP9plgc3I0UI0Ha9efMG/fr1g4GBAYyMjDBgwAB28KK1OXv06MHLgrt58yZzVtLDvbKA+zxevXoFKysrDB48uNhMJe54WrRoEaysrGBlZSWYpPySJUtk7IZp06YVSR549OgRQkJC2H6oiDwgJBISEuDq6spUgbj7gJWVFXx9fWWCaVzywKRJk3gOl+3bt8PW1hYhISG8zwi1p9N5mpmZyWQ1ua8nJCRAW1sbderUwbZt21iW3Lx589i1yuLo/qdrLhdiOh7/F/34+PEjYmJi4ObmJtqeziVc+fn5QUtLC8OGDWOkjEePHrHAtbq6OpM45ZIHkpOTcfHiRZw4cUJQgtPBgwcxefJktG3bFj169MD169fl1mGmzsp3796hbNmy8PHxYddR0nVkZCScnJzg7e0NdXV10W2StLQ0RpR1dXVFmzZt4OTkBAMDAxBSWFaB3uvv37/j8uXLqFevHgtyVa9eHX369BGdIERBVQO4Z8L8/HxWQoV7DkxJScGVK1d4nxc6u5d+X1paGq/MC/3R09OTya6UJg/QMlDt2rUT3D7hrk9cmWIueYDb3u/fv6NSpUowNzeXObNu374dhBBcuHCBF4ATa/3du3cvCCGIiooCUNhX6bacPn2aOfNr167NzovKlCX+O/eDS6r5+PEj9u3bx9RniipbwFUeiIiIgLW1NQwNDUUhN5XkHlLyQPny5dm6S/dqsVVpSoKCggIkJyejb9++vPXL2dkZEydO5AU+N27cCEII+vbtK0pb6fO4e/cuGyfVq1fH9u3beecOqqrasWNHvH//nvc3lOWZcOdHbGwsmjRpAhMTE9SuXRvdu3eXSTBQNvLAxIkTsWrVKt55A+DPGe7/t27disqVK0MikWDgwIGClgL9u/j27Rtbs+Lj43l74q1bt2BqaopatWrx5siyZctgbW2NXr168YgsQoN+rzQ5JTs7u1jyQHZ2Nh4+fIiLFy/i2bNnv7w8watXr5iPuVOnTnLJA6tWrWLrkjxfM+3fgAEDULFiReZ3FyNGQH27zZs3Z+ehu3fvYtq0aWx95frS7t69yxRSatSogT179rD3lGW9UkEFMaEiDqigwj8Arb1UqlQpzJ49W4Y8cOrUKUYeUFdXR2BgIIYMGQJ/f38YGRnBwcFBdCdkWloaatSoAS0tLWzevBkFBQUs2N6qVStGGoiOjpYxWqZOnQptbW0MHz5ctFp3QCHxoUOHDtDS0mJG8JcvXzB69GgQUihpChQ6iLhMQ3rAkXbUi2UgnDlzBsbGxmjZsiW7148ePWI1XgcPHoybN28Wq54gBOgY6dSpE+/gQe/d+/fv4ejoiODgYNy+fRtXrlzB7du3ZWQcnz9/jm3btqFRo0Zo27YtBg8ezAs6itEP7iHjzp07cHBwACEEV69elTkEZGVloVevXox5TwhBhQoVMGDAAMEd2tLjlgYFMzMz2f9v3ryJ9u3bQ1dXl2UK0GCnojEk9Hz4t/cjIyOD/T8xMVGh8oB0Vg1QWIrF0NBQMJlBmpHEbQ8lDxgaGsLY2BjDhw9nJWJ69+7NiFvc50Bl2nV0dPDw4UNRnanSShRpaWlYsGABpk+fDn19feZ8kNdG+pnMzEx8+vQJPXv2hL6+PsqUKSOYQ5UehidPnswrEwEUTx54/PixDHlArED18uXLQQiBhYUFJkyYgEOHDuHw4cPYunUrfH19WS1hAwMDHDt2jPfZhQsXwtTUFOrq6ggICMCMGTMQGxsLa2tr6Ojo4NSpU6L0CSgcG9WrV0dYWJjMe+/fv2cOMOqg4ZYdEWte/Ko1V2j8yn58+vRJcPl1aeTl5WHUqFHQ1tbGkCFDWJDz3r176NGjBwghqFSpEggprL1Ja3kWVQLkVyMuLo4pznCDIWvXrlVIXKIKLhERESgoKOBd16BBA/To0QPJyckyjlahkZWVhWbNmkFNTQ2xsbGMRPf48WPs2rULlpaWLIjFvf/p6en4+PEj/vrrL6SlpSmN6g4AzJw5E4QQrF+/HkDhnFCkOPfu3Tvo6Ohg8+bNYjUXQOE8p6WCevbsifPnzyMyMpIRe5s2bcoCpBTcteLMmTMICQnB3bt3BW55IYojDwB8e4XuIRs3bmTvnzt3DrVr14abmxsv2CXGeZZ+54oVK0BIoZqLIqSkpDD7kRCCRo0aMdKD2M76370fXHJT27ZtYW5ujjJlykBPT4/ZHxUqVCiSPEBJnSYmJqKUd+POjb1792L69OkYOnQo9u3bJ7NuSpctaNSoEQtuiT2WKIrbhx89eoTVq1ejR48emDBhAp4/fy5TOiwsLAy6urrYv3//r2xqkaD9uHPnDo88kJCQAKBQVY8QgmrVqsnY71yImdnOnR+UdGZra8sLeJYrVw5//vknb6zRWvP6+vqYOnWqaCqMVDZeS0sL1tbWGDt2LC5evChX9Yz7WkJCAipVqqRU5AFF80JabTE4OJj3/ps3b1C3bl3ms46Li0OPHj2gra0NW1tb0cq8SWely/ORF6c8IMaadfnyZTg6OrKkMLr2UBv83bt38PX1hY6ODsaPH88jznDtcT1u8QAA4LBJREFU9Hr16mHQoEF4/vy5KOOL+na5iW0UWVlZGDVqFAgpLPnCHSP37t1jiXrS5AGxSYAqqCA2VMQBFVT4B/j06RNmzpwJKysrWFtbyyUPnDx5kpUtIKRQaqlly5aYMGGC6Bkm+fn56Nu3L4yNjREbG8uC0O/evWPZMFpaWoiMjJT57JIlS2BjY4Pq1asLXvOV69yl/1+0aBFmz54NoNBJvHTpUmhra8PX15cX7KWZJYQQtG3bVm7Wk1CQNiz37dsHS0tLdjh/8+YNIiIiZBwWc+fO5REgfjULVRqLFi1iAR1a5wrg1zp/+fIlXFxcYGJiwqS2tLS04OPjI7ccBLdOrFAoqh9cBAcHw8XFBcnJyQrHy4cPH/DXX3/h6tWryMjIELxGODVonz17xiMspKSkwMvLC0OGDGHXJCUloUOHDtDV1YWlpSVmzJjBkxgUE/+VfgwePJiNs0OHDvGUBw4fPswLeFEsWbIEWlpaaNasGVOD+ZUYPHgwL4AAyJIHDAwMGJGpS5cuTI6OXkf78fjxY+jr66N+/fq/vN2KIE/ZJy8vD61btwYhBC1atICrqytSUlKKDCA+ffoU/fv3Z3XPmzRpItjBmKvywpWL5Y73nyEP+Pj4YM+ePYIHfnfv3g11dXV4e3vjyJEjMu+/f/8e69atYwErQ0NDljFAsXLlSnh6evICkiYmJqI6U4HCzENCCPT19XnBKvqMNm/ezILWS5YskXlfaPxX1tzfpR9F4eHDhyhVqhRq167N2vv48WNWboHKstMa9RoaGjhz5gwAceQ1aQkoZ2dnzJ49G0uXLoWbmxsIIXByclKo0LJp0yYQ8qMuMsWSJUtgamqKuLg4IZpfLPbu3Qt1dXW0b9+e2XxcZ+/NmzcZeUAekUhZgllczJs3j7X38+fPCkkDANC7d29oaGjwyvEJBe6e9fnzZxm1oNzcXCQmJqJRo0YghKB169ZFkge4tpYYKInyAL1m/vz50NHRQdWqVTF69GjMmTOHBUtp6UNlwJkzZ0AIQZUqVeRmJ9K1dunSpXB0dGQByAEDBoj+PLj4nfuRkZGBmjVrQl9fHxEREXjx4gWuXr2KHTt2sPIKzs7OcskDBw8ehJ2dHczNzUVJcuHOzzFjxvBsPUIK1SNpWR4KafKAv7+/aIQgadA1Kzs7G0eOHMG0adMQGRmJlStX4uLFiwo/x30my5cvh4mJCerWrStKWTQu5JEHatWqxZJ2KlWqhL1797LrlXG/y8zMhJ+fH9TV1TFkyBCkpaWxPYSq6Hl6euLOnTu857Bo0SJWvmr27NmC21efP39G1apVmQ+LzolSpUqhXbt2uHr1qowaAnfPVBbywLZt25Camsp8BYrGyJUrV6CtrQ1CCCOnUFy8eBHOzs7MFyGRSFC1alXBS3FR0PucmZmJVatWISIiggXSFy9ezLu2KPKAWPPl8uXLbGxzyQP5+fnIz8/H7Nmzoa+vD1NTU0ycOFHGjl++fDnMzMxEs9MHDhzIkgZpIoi0ctOhQ4dgYGAAa2trGQKyNHmAS+BUQYX/MlTEARVU+JugG9CXL18wffp0WFpaKiQPHD9+HIGBgdDS0oK/vz/++usvMZoM4IdBQ9tfrVo1dOzYkRnK1EDYtGkT7O3tQUihhDvNkPnw4QOGDRsGPT09WFpaCm6YcY3zUaNGYdOmTcjJyUFGRgbL9vn8+TPc3d1ZsJfbr759+6Js2bIsy/fGjRuCtp+C9iMjIwNnzpxBZmYmsrOzce3aNfYsEhISoKOjg44dO7LPFRQUYM+ePSCEsIzMfv36CWpgrlu3Dh4eHtDQ0ECtWrVkynAAQFBQEAghKF26NEaOHIlWrVqxzP1SpUrxMkK5Bp2y9INm6OXl5aFZs2awsbGBm5sbKlasiODgYMTExOD+/fsyCgpiBh3u3r0LPT09tGvXjjl43dzcoK6ujtmzZ/PYwElJSbx6z3FxcczBJXbg5L/SDy65hEseqFOnDpYtW8b7W3PnzoW1tbWgcviRkZEs+LRhwwb2ujR5wNzcHBKJBD169OAF37j3n9aZGz16NHJycgQ/EI8cORJ+fn4ysso5OTlYtGgRC2YRQligTRFu374Nb29v+Pr6YsGCBTISnL8KlDTQsWNHuTVmf5Y8QDOUGzZsKPP+r8SzZ89Qu3Zt6Onp4cCBA+x1eVKOZ86cQZ06dVgmkLRz68aNG1i9ejV69uyJOXPmMLlOaSeB0OjXrx8IIZg6dSoAWbn80qVL84JCyr5W/VvW3N+lH1xwx/Hdu3fRokULFqjlluPq3bs3uy4xMRHW1tYghEBXV1cUBQ66XrVv3x43b95kr3/79o0Rfqj0N8Dv59GjR5kTeNasWThy5AgiIyNZnXGxyhNIgwZ4KVmJO77oGDp48CCMjIxQoUIFQdW0fhbc+s7ly5dHqVKl4OTkBIlEgrFjx8qca+fPnw9jY2N07NhR5j2hkJqaiujoaKxduxZly5ZlxEVuEOLMmTMKyQNi7xPSKAl5ACh0bPfp04eVeaPkuvj4ePZ5ZejXmzdvWCbvtGnTeP3j/n/kyJGoUaMGTpw4gfLly8PJyQlPnz4Vo8ly8bv2o6CggNneAwcOlCnDkZ6ejsaNGxepPHD48GHRk1xojfOqVatiwYIFiI2NZcktTZo0wdGjR3nXU/IAVQKsWbOm6DXOudntLVu2ZEFQbsCXm6QjT41n6tSpsLa2ho2NzS+vdV5SyCMPqKmpwd7eHtu3b5e5TllA10eaiNOnTx+Zc1CtWrVgYWGBwYMHM/8id12dOXMmKlasKFqAeseOHYwAHh8fjw4dOjA/gqWlJXx8fLBjxw4egUAeeUBbWxs9e/YUfK2KjY1lShVRUVE8hUNAdsxQ8tCAAQOYf45ec/v2baxevRqjR4/Gtm3bRC8BnJqaigYNGsiQnWjS2qNHj1jbpckDYWFhotuKisgDQOHZfPjw4dDV1YWenh48PDwQHx+PHTt2YODAgTA0NISDg4MofXj37h1TStbQ0GA+H/pc6D2/cuUKNDQ0YGVlJTf5kZIHNDU1UbZsWZ6vQgUV/qtQEQdUUKEEKM7glUceoA4MilOnTsHLywumpqaCZ+hLIy0tDUFBQRg7diyMjIwY05nbz69fv2LNmjWsZp+JiQkcHBwYs7VatWqisri7devGDsPSxj6t0Tlo0CDk5+fzDJ6AgACEhYXhypUrcjMdhQBXcrJ8+fJwdXVlwSruM6hduzYMDAxYkIhKXT169Aiurq6YM2cO3NzcRCE/7NixA+7u7pBIJHB3d8fWrVvZe5SlzZX/z8vLw4oVK9jBcsSIEQDEd25J94N70AWAnTt3MmNf+qBvaWmJGjVqYNGiRTKfEwOJiYkoV64ctLW10aVLFzg7O0NbWxuTJk1iMnvc8XXr1i2lDJz8l/rBdToeOXKEScRpa2vD29sb3bp1Y3K7Dg4Ogsjhc+fkpEmTGINfHnng9evXvLIFERERMlkOK1asgL6+PlxcXETZ+549e8ZqmQcFBckQ97KysvDHH3/Aw8MDhBC0adOmWEfpq1ev8OXLF8GyTBQpDQD8Mc5tT3HkgQcPHiA8PFzwffzUqVPQ09NDv3792GuK9oHc3FwcOHAAlStXZhnIOTk5xSokiLWvcIOFurq6qFKlCluLuG0aP348CCmU0hVL5pSL/9Kaq8z9ePnyJc6fP4/jx4/LOFGBwvn98OFDNpePHz8OY2NjtG3bVubvWFhYMElzS0tLZGZmCjYvaLCqY8eOvPWF2rC0Fvu6desAgDmBuZgzZ46Mw7V8+fKinTuk15y8vDxWD7WoLO83b96wvaUoyWahUNSelZeXh/T0dIwcOZKVlwgKCpJxwi9YsADW1tZwdnYWLaiYn5/PFOS8vb1RqlQpvH37Vm7pudOnT/PIA2IRxqXbJQ/c86qisgUA8OLFC+zZswchISFYvHgxjxwk1NpVkvVkyZIlrA8LFixgATiKCxcuwM3NDb1790ZGRgZTT1mzZs2varYM/i39kIeGDRvCxMSEBQXp/KfzJD09nRG5ypcvz/YdMRRqKLjj99OnT6hatSqaNm3KO/+cOHECgYGBkEgkaNiwoVzywJw5c2Bubs4rByUG6PhKT09HjRo1IJFI0KZNG2zcuBFTpkxBs2bNmDJjr169eJ9NTU3F6dOn4efnB4lEAjc3N9FLnEq/RsfKnTt3mM3h6OiIvXv3KixHpCxo164dLCwseHtcfn4+Cz7GxMSwuf79+3cZNUkxCSkvXrxg44n6EB88eIAePXowNQJCCOrVq4exY8ciJSVFRgElISEBdnZ2MDMzk0mE+ZX49OkTpkyZgjJlyrByKBoaGoiMjJTxp9G1at++fVBTU4ORkRGbA9zSomKDtoOqvGhpaaFXr164ceMGdu3ahRkzZrASMdwyKkDhvr9nzx64u7sz/7XYJeCKIw9MnTpVRvWPkEI1MTHXqJs3byIgIID5rk6cOAGgcBzRtWr27NmQSCSYPHky+5w07t+/j06dOvH2TxVU+C9DRRxQQYViQDeZ7OxsVq9OHr58+YIZM2bA3NwcdnZ2mDVrloxBee7cOdFJAwCfvW1sbMwC6NLOhpycHDx8+BDdunVD3bp14erqitatW2Px4sWCO7u5baPZuX379pV7P2k9wkmTJvFe3759O8zMzDBx4kT2mlgZJ3l5eejevTuMjIwwaNAgmVp9r169gqWlJdzc3GTqk0VERMDMzIz9HSHBbcf27dtZ0L1mzZo4cOAAI3Rw5ba42T/h4eHsIENfEwOK+uHu7s6UBxITE5nTferUqTh79iz27duHyZMno3bt2iyjj17z9u1bUfpCkZaWhnPnzqFq1aqQSCRQU1NjBA1A/liRDpxMmTJF9Hq7/7V+cOfAhQsXEBISwtRECCEoU6YMOnXqJKiDnnuPJ06cWCR5gFu2wMjICAMGDGDEuVWrVsHGxgYmJiaiEs3OnDnDMqvatm0rlzywcuVKVKxYEdra2hgxYgRevXolUmv5GDlyJAghcmswc5+TPDJKceQBIZ16dLwMGjQIhBDmzC3OOfL9+3cWiKxZs6bc+a8sjiOKjIwM1KtXD4QQTJ8+nbWP7jvXr1+Ho6MjrK2tZUowiIH/2prLhbL0Iz4+HtWrV2frvrq6OhYsWMDel9f25s2bgxCCQ4cOAfgxn79//w5HR0ccPXpUbibXrwRdr2rVqsWc8dLZPkuXLoWVlRV69+6NoKAg+Pv7Y+DAgTLKCGvXrkXPnj3Rtm1bTJo0STSlAdr+lJQUdOvWjdVEnTlzJiPJSpPFgR/rUt++fUEI4dVLFRK0HXStzcjIwIIFC9C3b19ER0fzyhEBwPPnz9GmTRtoaGjA0dERUVFROHLkCPbu3Yvg4GCoqanB0tLylzuHi6p/nZ+fj8OHD6NKlSqMbJmUlARA1rbiKg+oq6ujfv367FoxID2XiyIhKiIPKNrzhCINcNv75MkTnDt3DgkJCXj9+rXM+jl27FjWh969e2P16tV4+fIltm7dCi8vL56qVVxcHAghWLFihaof/xCpqakoW7YsbGxsmD3LHTd0PTh69ChMTExASGHZgsuXL4vSXkBWYYeWiaB+Ku7zunLlCtq3b6+QPPD9+3ceSUhMOzEvLw+9e/cGIQTjxo3j2d60NBctYTV8+HD23oMHD9C1a1dYWVmhV69eou+B+fn5TOGTEgG5xL/bt2+zBJEaNWogISFBdLtQEej8cHV1Zft3Xl6ewvI8R48eZcQgZcGECROY6gD1QWVnZ+PZs2eYPHkyatWqxUgp7u7uCAsLw+3bt3nnrh07dohGAPz8+TNWrVrFVEopiaBTp05ISEiQKctIA8Lh4eGCkmFLivz8fAwbNowpakmPlZs3b6Js2bIghCAgIID3XnZ2NrZt24Y6deooTXmVosgDlMg8d+5c9O/fHz179sTixYtFj3MUFBQgKSkJrVq1kiEPAIUEFEIK1T2pSqEiPHz4UHTfrgoqKAtUxAEVVCgB0tPTUbFiRXTt2rXIDeTTp08sM9DZ2RmzZs2S60wSG3fv3sWAAQOgpqbGy/4G5Dtq8vPzkZOTUyRx4leCe1D8/PkzJkyYAFNTU0ZekDYct2zZwoyFffv24ePHj1i1ahVcXV1hYWEhWqkIrqH+8eNHODs7o0+fPjKZcAUFBXj16hVsbW1BCOHV8Fu6dCns7OzQtm1bpKWlCW40Swd5tm3bxoLu1PEQHh7Oso5p++gBk0qrdenSRdB2S0O6H1zygI+PD6Kjo0FIYY2+nTt3ynw+Ozsbd+/exaJFi9C1a1fRpOqk8fnzZ9jb20NdXR0SiQQhISHFSqnTwImenh60tLQwc+ZMgVqrGP+1fnDn8bdv3/Dy5Uvs2rUL27dvx+vXr2VqCwuBf0IeGDRoEObPnw87OzsYGRnh1q1bgrdf+jvPnDnDpAMVkQdWrVoFZ2dn6OvrY9SoUaKTB6ZPnw5CCKytrXmOU26WDwC0atUKgYGBcrOlueSBpUuXIjU1VdhOSKFPnz4ghGD+/Pkl/szjx49hbGwMQohoDhV5Dncu6D2nz+Xw4cPQ19dH69atZUrx5OTkoGPHjkzhQvrvi4H/2prLhdj9oMQYbW1t+Pj48AgES5cuVfi5OnXqwNzcXMZRN3HiRGhrawtul7x8+ZJlINna2vLKP1EbEABz6BFSKLFO/6+pqSkjCaosGYsZGRmoW7cuCCGIjY1FQUEBjh8/DjMzM5iYmPBqOQP8djdu3BimpqaMcCAUuGWNaHvS0tJY+RfuT3h4OO8ZPXv2DOHh4ShVqhTLBiSEQF9fH/7+/oKUTMrLy8Pbt2+Rnp7O9i1phZ1Tp06xLD0fHx8217nnKfrv2bNn4enpCSMjI9H2du6+vXz5crRt2xbm5uaoXr06goKCcPr0aZmkA0VlC8TKtuT2Ye7cuUwSnhACe3t7DBs2TGZ8TJ06FQYGBqwECc28JKSwRjhFixYtoKuriwsXLqj68Q+Rnp7OynBxy1hI4969ezA2NoaTkxMLMHLXAjEQGRkJNTU1jBkzBp6enjzbljvmpckDilRdhFQQkjcnX758iTJlyqB69epsLZPOXt+wYQO0tbVhZmbG68etW7dw5coVUc6BAF+dIiwsDLVq1YKTkxPatWvHiK/cBBdu2YIaNWpg+/btShVsp6DEAWNjY7x+/RoFBQWsJIk0aQAA6tevD1dXV8HK03EhjzgHFJ69q1WrBmtra1y6dAkA/3yyaNEiVpqVnqEMDQ0xdOjQIm1LISBNltu8eTOGDBnCfNOampqoWLEiNm7cyAK8Bw4cgJmZGapVq8aej9hnJy5ycnJQs2ZNlClThpVwos+D9jcpKYmp99KzBrdEn5Bn9KLWRfqeIvKAMt13aVDyQOvWrZnv6u7du7hw4QIIIXBzcyuy/IAy900FFcSCijigggocvH79WkZmGSiU1qWyjREREXLJA9wACq0xVaZMGcTFxclI2gmFogyC+/fvY8iQIZBIJDAwMOBlnHA/J49IINaG2rx5c9SrVw8hISHo3LkzANmDFwXNaiSEwMrKih3waS1SsZCamoqRI0diw4YNMDAwkFtTkILW89LW1sbAgQPRokULqKurw9bWVpT6dtzaXWPHjuXJztasWRMSiQSmpqa8w4h0rXMq30hruIvp9JLXD0oeIISgdOnSLJMP+GH8Sz8rRWNQDOzcuRPGxsYICQlBtWrVIJFI0L17d7m1xrj9SEpKgr+/P6ysrARxCBeH/3I/lOnA8nfJA3S/NDY2FoU0MGDAABBCWH07ipKSB8qXLw99fX1ERUWJFmDIzMzEhAkT2IG9devWrPQLd80JCQkBIYWy4NzsDGnyAA3QrVy5UtQxRvc1SlgszqGbk5ODgoIClsEv/UyFBHc+pKSkYPbs2bh//75cJ/uzZ89YiYXNmzez12l/T5w4ATc3N1EzX7n4L6+5gHj9oGTjli1bsvXoxYsXiIyMZGpG0jKZ1ElP17LQ0FCkpqaioKAACxcuhJ2dHerUqSOTrfUrsXPnTuTl5eH06dNo0aIFCCms27x27VredbSUVdOmTXHx4kW8efMGK1asQP369VnATlmyrbhBqjlz5sDCwgITJkzgBRRCQ0PZOWP//v0ywYalS5dCXV0dLVq0EDTw069fP54aBVBIfmjQoAHU1NTQsWNH/PHHH5g8eTI0NTVBCEHnzp2ZsxsoLFl348YNREdHY/jw4YiKisLJkycFGVebNm1Cp06dYGxsjMqVKyMgIIDZEtI15k+dOsXINp06dSqSPHDhwgWmhiY0uPtuVFQUI2SYmpqyQIK9vT1Gjhwp00YueUAs5QqAv2ZSdRErKysMHz4cAwYMQNWqVaGurg5/f38Z2y8xMRGTJk2Ct7c3ateujbCwMB65aMaMGSCEoGHDhr98jP1b+lEc5s+fD4lEgsaNG/OUZ7jk09zcXFSsWBHLli1Dz549RS/lkZ+fzwimdG2iQVEKeeQBTU1N1K1bF4mJiUI3GQBw48YNuUpyQGG2OiEEPXv2BCBfQejLly+MUDp37txf3t6SgM6TtLQ0Rgo0NTWFkZERCCFQU1PjjX155IGaNWti48aNMjL5ygAaqJ4xYwYrTzBmzBgZv+3EiROhoaEhoxYhJOSdlTIzM9GzZ08QQhAcHMx779ChQ6zc7JQpU3D69Gm0a9eOzSmJRCIKCQIo+tx39epVjBgxgu3pOjo6KF26NGbNmoWjR48yMlRsbKyALf6B9PR01n7pfjx58gQSiQReXl4AZOc5vX7ZsmUgpFBJUCxw1//nz59j7969uHjxIvNLc6GIPKAsxF55kEcekEgkqFatGs+GUiafmwoqKDNUxAEVVPh/7Nq1C40bN0bFihXlStfs27ePsbEHDBgglzxAN9L69eujcePG0NXVRYUKFQQ9OB47dkym/YoMtPv37yMiIgISiUQms1rMOrXy8PjxY2YAE0JQuXJluQFbrjE3ZswYVKhQAW5ubujUqRNOnz4NQDwjoaCggAV5qlatCnNzc+aQ4LaJe+8HDhzI+qympgYPDw+ZGtdCgtbuks5gSEhIYOSBWrVq8Q6SFIsXL4aGhgY8PT3lEnSEhKJ+bN++HbVq1YJEIoGjoyNPGlR6TiirsXn79m18//4dR48eRfXq1SGRSNCzZ09e4IR7mKH9SkpKkqllKyb+q/2g40rMGqNc/Cx5ICIigmUmilHnjgbiAgMDGcGKO1d/ljwQHR0tWqDhy5cvmDNnDjuwN2vWjEcao0E4RWV7uGvWuHHjYGNjI7o6yuzZs1lAVN7zUYSGDRuCEMKel1D1HwcMGIAxY8bwXsvLy2POq3LlyiEoKAg3b96UyRRdvnw5G4vfv3/nPY+PHz+KpuKkCP/VNVesfgwdOpQ54rh2XUFBAZKTk+Hl5QVNTU1GGJLGpUuXWEZ41apVmaNV6Hk+ePBgEEIYSeDw4cNo1qwZIw9s2bIFANC1a1cQUijzzZVczsnJwZYtW2BnZwdjY2OZkgVigK4v9JzRp08fVKpUiWVOcs8fVEHB1NQUoaGh2LhxI/766y+MGDECpqamsLCwEJTsm5eXx84aVlZWOHjwIADg4MGDMDc3R0xMDK/958+fh4ODAwu8i0V2p6DkMukfU1NTFtTk7hmUPECJWsHBwfjw4QMA5SRkLl++HBoaGmjevDnOnz+PN2/eICkpCV26dIGlpSV0dXURHh4uUxKQK5X/9OlTUfs0a9YsEELQqlUrFtRNS0tjaxotCSHPBkxLS0NWVhZvD587dy4sLS15doGqH8VDka+G7m+XLl2Cp6cnJBIJ+vTpI5cUMG3aNGhqaopuG3KRm5uLoUOHwszMDJqamhg3bpzMusQd/3/99RfatGkDQgh27NghdHMRHR0NGxsbbNy4US554NixYywDvyj/x6JFi0AIQffu3Zm6mNjIzc1FcHAw9PX1MXjwYDx+/Bg3btxg/imJRCI3+ejOnTuoWrUqCCksTymGYkJx82Pz5s2sDxoaGhg7diyPPAcUlj+1tbWFp6en4ETyvn37Yvz48ex3eYld9+/fh4mJCczNzXHu3DkAhZn51GcqTULZt28fYmJicPv27V/fATngBqwvX77MbEFu6dicnBykpKRg7NixaNq0Kdv3atWqBTs7O2hoaKBu3bqCy8ifOnUKo0ePxrhx4+T6oJ89ewZ1dXXo6OgUSXKn60HlypVlzoZCgKsi0qdPH5QvX54l2GlqaiI6OlqmxJki8oCy+Kq44JJFk5KS0LJlSzbPp06dyq5TxraroIKyQkUcUEEFAFOmTIGxsTHU1dURHBzMc1pxN/O9e/fC0dFRLnmAe3B0dHTEiBEjsGDBAkGDvLR+fKlSpTBmzBhcu3ZNrnOdexB58OAB+vXrB4lEgqpVq/LIA8pwYOHi8uXLqF27NrS0tGBhYYEdO3YUu+m/ffsWqampjOnMNUzFwLlz51C7dm1oa2uDEIKJEycW+4wSExOxefNmnDt3TpRAA1eCbuzYsbC0tERsbKyMnBY3Y9/d3R0JCQnsvVWrVsHa2hpmZmaiER9K2o9t27YxR4uHhwevH8o0J4ob+xkZGdi/fz9q1KgBiUSCHj16yGQubtmyBTExMaKyhlX9+IEtW7YgNjZWsKAoF0UdXLkH5OLIAy9fvsTw4cNFUUWhpIEOHTrIfP/fIQ/QjJnx48cLdsCkAQ+Kr1+/YtasWezA3qpVK7x//55lmfTp04eRBuStT9zn+unTp1/b+CJA2/bu3TsmLd2zZ08kJyfz3pf3GQDw9PSEk5MT+/1XO1oKCgpw48YN5rCSHiN79+5Fv379mHPO3Nwcbdq0wc6dO9l8+fz5M6pVqwZDQ0OmLKAMe4hqzf0BsfpByxMEBgbyguh0fGRkZKBevXqoV68ejhw5ggMHDmDnzp28WrRZWVlITExkTj87Ozs0b95cUMWE8ePHgxCC9u3b8xzRx44dYw5fBwcH1K5dm5GcuI5iOo9TUlLYert69WrB2s+F9PkgPT0dOjo6qFu3Llq3bs2kyOn+zN2ne/TowZR2uD9ubm6iEOiysrJYYMfMzAwXL17E+vXrYW9vzwI4ubm5rL9XrlxhewyXPCAtDf6r1y+6h3t7e2Pnzp24cOECRo0ahSpVqoAQgurVq8sE1IGSkQfEgvQ6FRwcDBcXF7Yn0PfpXl+qVCmYmJhg8eLFKCgo4Nlfw4YN4wWSxMCpU6dgb2+PWrVqsX0xKysLs2fPhq6uLuzt7eHr6wtCCPz8/HgEee6zyM3NxYcPH9C6dWvo6+ujdOnSggazfvd+0PUnJycHT58+xa5du3Do0CHcu3ePp4K0cuVK2NraQiKRoFWrVli1ahXS0tKQlpbGxlvNmjVlbE+hQe8p3YtzcnIwZMgQqKurw9LSEgkJCTLBOu56dOHCBfz555/CNfj/8fnzZ/Ts2ROampqoVq0aNm3axOY07dPLly9RoUIFWFhY4OTJkwD46wLt84kTJ0AIQf/+/QXuBR/cvS0lJQW2trbo168f0tLSeNfR/V/6PMglY3p5eYmirMWdH48ePcLu3btx5MgRPHr0iDduKElIIpFg3rx5+Pr1KzIzM5GWlobIyEgYGhrCwsJCUN9VQUEBrl+/zuyIWbNmsfe4a09+fj4yMjIYiXzRokW4cOECO5fMmzePXcudO2LtidIBa1NTU7i7u8usPdz2ZWRkYMuWLWjWrBnMzMzYPTEwMBD0TLtgwQJG1O3cubPcJEMArHTK+PHjZUgodM6/f/8eOjo6rFSdkOCqiNCzOFV1atSoEbu//v7+MnL+XPJA06ZNlUJxoLixnJ+fj5s3bzIys0QiwZkzZ0r0WRVUUOEHVMQBFf7zGD58OAghqF27tsLaaFwDU5o8wHXiAYUkBD09PRkn86/GtWvXoKOjwzZF6kRs06YNrl69ypzzFNwDy8OHD5WWPCAtdX/x4kVWg6xp06YKD+fKbAxcvHgR3t7ebNwpGivK0Afp2lyNGjWCr68vI2Lk5eXx2rl9+3Z4eHhAIpHA09MTO3fuxIYNG2BjYyNarXPg7/WDkiA8PDywfft29p7YcwL40Z+srCzs2bMHa9asweHDh2VIENnZ2bzASa9evVhG5erVq2Frawt7e3vBWdsUqn4oRz+4DpZz585h2bJl2LJlCy5fvsyu4cpMKiIPSNd5FxJc0oAiB8/PkAeys7OxePFieHh4CJaJFRkZiY4dO8p8nzR5wM7Ojtkg3CCcIoi5l0iTYFJTUzFq1ChoamrC1tYWcXFxjBCnSHln6dKlIIRAS0sLnTp1QvPmzdG1a1ckJib+csfFunXrMGXKFLl9ycjIYCob1AFDyR1z5sxBTk4OszGDgoJknK5i4Hdfqyh+535QJQodHR3ExMSw1/Pz81m/Pn78CE9PT6irq/MC0dWqVWPjkeLLly84e/Ysnj17Jmi2+NGjR2FgYIAaNWowedO0tDSWUXn06FHmrKPBt69fvwKQX/qpcuXKKFeunMy56ldjxIgRLODEXYMeP37Mu/ft2rWTKUvCXRP27NmDmJgYBAQEoHv37lixYoWoShzZ2dmsbI+1tTUaNGiAwMBAAPIzF69cuYKyZcsy8oDQGaJ0D2/fvj2vXEVqairWrl2LsmXLwsTEREa2nEKaPNC1a1eZs6+YmDx5MlasWAEPDw9W21haESElJQWxsbEghMDT0xPp6ekA5NtUYuzrubm5GDduHAghTMkiJycHc+fOhZ6eHpycnPD+/XvcvHkTjo6OUFdXlwm6U2RlZWHZsmVwdHREmzZt8OjRI1U/fqL9QGEArlu3bihdujRbp7S1tREaGsoL+qxYsQJVq1Zl/iEXFxdmT1pbW4tCbiqJih9VHqDtLI48oOhv/2o8efIEQ4YMgba2NipXrswjD9D2UBUYZ2dnnooZ9zq6Bm7cuFHQ9stDSkoKoqKicOjQIZQvX57ZSHl5eSVSoqPXiFHOkc6PtLQ0dOrUCdbW1mx+6OjoYOjQoSx4CPxQTVJXV4ezszO8vb1Z8L1SpUqilU/asGEDazfdMwDZ8b1161b2DGhfuaQBZfAn0vFAy15oamqiSZMmuHTpkozdDsjO648fP+LmzZto1aoVfHx8BCWj0DOrs7Mztm7dWqSdHR8fD01NTVhZWWHdunXsWu6coYSbKVOmiJLQlp2djdatW0NdXR3jx4/nzdGtW7cy9bLGjRsze4u28a+//mKlD8VWmuMqgx04cACTJk1CXFwcFi1ahJSUFJ5P6ubNm7yyBZTApQxzQwUVfgeoiAMq/Kcxffp0EEJ4tRMppDcS7obPJQ907NgRmzZtwocPHxAXFwcLCwtUq1ZNcCn25ORk1KhRA4QU1hPr1q0bCy5YWVnBz88P27dv50npcvvEVR5wd3fn1eQVEiXZwC9fvsxqkXHlqJUJ8oxA7v2+dOkSI0AEBAQoZR8oUlNTYWlpiYEDB8Lf359l4HMDNoqC7o6OjtDX1xeVNEDxd/pBSRBeXl7YtGmT4G2WB+7hiwY+6U/Hjh1l6p/SwAkNbHl6eqJz587Q09ODsbGxaDW2Vf1Qjn5wHSzBwcEwNjZm7ac1XykUkQfEnhs0e7dDhw4yDh5uYEfa+V4S8oB0xsCvwt27d5lcdHh4uELyAHVm2dvbM8eXGAoVP4vJkyezTNHnz5+jbt26IISgdOnSGDVqFJMAlX5Ge/fuZRnV3J+goCC55Rn+V5C2RVJTU2FtbY2xY8ey1+jekZ+fjw8fPiA+Ph7u7u7Q1dUFIQR169bF0KFDYWBggHLlyom+z//uaxXF796PpKQkNGjQABKJBM7Ozpg/f76MI5LWOnZxccGUKVMQHR2NcuXKQU1NDTY2NlixYgUAcaU29+zZA3V1dYwePRpA4Rrl4OCA7t27s4Dn4cOH0aJFCxb44Zax4tpe06ZNY5niQpIf9u/fz8YOJY8XFBSwNTUpKYnVc/b09GRELe59l34GYgRKFCErKwv9+vVjfaxXr55cKW155IGWLVsKRh7glu3grut0HU5NTUXbtm1BCJEh8koTzk6dOsUc371791YKx/C+fftACIGrqysMDAwQHR0NQH6Zqk+fPjEfw65du8RoLoP02M7JycGUKVMwceJEAIVt3r59O6ytrVGmTBkWXExPT2fS8VpaWqhduzZu3rwp8/e/ffuG27dv/3I769/SD4CfMUrHuYeHB7p3747mzZtDTU2N7R1cCflTp05h8uTJsLGxgampKVxcXNCxY0dBCRsU3Odx6NAhTJkyBQEBARg+fDhWrVrFO2vk5uZi2LBhvD1EmdZYiidPnmDQoEEKyQNpaWmsRKKzszMuXLjAy5hevnw5TExMUKVKFbmqKkKioKCABdloaU3pkkmKyAPS50Ghg6Lc+UH9ovXr18eMGTMwYMAANmfq1avHSEMA8Mcff6Bz584wNDSEiYkJ6tSpg4kTJwpenoDbBwDYuHGjQvIA994GBQWx65YvXy73b4mNzMxMNGzYEBoaGoiJiSkRmZorOw8UEraFOpcDYES+wMBAGfl+eWT33NxcpghoZWWFadOm8faMRYsWwdraGk5OTr/0DFsU/vzzT+jo6KBly5ZsreX6EY4dOwYPDw8QQng+INrfa9euibJvcME9B7Zo0YIlT9IfT09PrFu3jpWLzs/PR1JSEistJpFImMK0MiSEqaCCskNFHFDhP4szZ87AysoKDg4OPEOgoKBA5oApb0PZv38/CyoSQliwRQzmNm3f9u3bWbbbw4cPce/ePXTt2pVlX9CMn7FjxzIpLi7u37/PpC3r1KkjlwH6K8E1Wo4cOYIFCxagf//+WLVqFavbRcElD7Rp00Z0hzwXdPzk5eXhw4cPuHTpEp48eSIjxfU7ECCAwlppXGNs2LBhcq+TDrpTVQVDQ0PRaqlx8Xf7QQkefn5+otTok4fMzEwWeGvQoAEGDBgAZ2dnqKuro1KlSli3bh3v+pycHBw/fpxJB+vp6aFatWqi17RU9UPcfnAPXtTBUqdOHcyePRvTp0+HgYEBC9Jy+0pBnUWEEF5JDyFBAw7e3t5sjeWuwRRDhgzB3r17ZeqGSpMHFMkPCoHdu3fD09MThBCEhoYWSx5o3bo1O7wr88E3KiqKObNosPDRo0fMiaqvrw8PDw8cPnwYDx48QE5ODj5+/IgZM2awTLpdu3bh2rVruHPnDs6dOyf4WszdP7jOO2nFg2fPnuHw4cPw8fFhWRn0RwwHpDR+17VKGr9bP2iAk65J9+/fZ7KgTk5OmDt3LnuPys6GhITwSiscPXqU1Qzu2rWrIO0uCvTMYWZmhiNHjqBatWpQU1PD2LFjeZn5hw8fZsoDpUqVwtq1a3l/Z9WqVTAzM0OpUqUEVxsAfuwhhBAcPXoUQKEdSOf2zZs3GXmgXbt27HPFEbbEWJPlfWdmZib69+/P+qhIQUusjLKdO3eytoWFhbHXpVUpJk2aBEtLS5w/fx73799HSkqKzDmWfu7IkSOoXbu2Upw9ADBlGtrP7t27s/e4z4COOVp6UKyyHQD/LBQZGclIDFlZWbxx0apVK5iamjJfSkZGBgBgzpw5qFixInx8fGTGnZD4t/SDi+zsbAQGBkJdXR0TJ07kjaHdu3ejXbt2LEC9d+9e3me/fPmC9+/fIz09XUZBRQhwn0dsbCwr3cj9qVOnDi+oJk0e2L59uyhtLw7FkQeePn3KbHxra2v4+fkhKioKrVq1YmU4xVB/kIdLly4x0q6pqSkjVisiYyvDeZAiJycHHTp0ACEEMTExvHaePn0a+vr6sLe3x9KlS2X2kA8fPohSFlQa3DldFHmAXjtjxgxGxqZQlhrutC8LFiwAIQS9evVi5NKfITYIbVMlJCRAXV0d7u7uPIKxdLkaaWRnZ6Nbt26QSCTQ0NCAkZERWrZsyYLx1tbWgtkm8sbAhAkTQAiRISBz7y/XLpP2wYsNeu/T09PZetquXTvs3r0bCQkJ6Nq1K/T19VGqVCksWbKEjbWCggIkJSUxUhQhBGfPnhWzKyqo8NtARRxQ4T+LpUuXQk1NjUk5yTMCEhISMHHiRDRo0AD9+vWTW+tn8uTJcHFxga+vL7p16yaK04vi2bNnjElLD8bZ2dl4+fIl4uLiULlyZcbIq1GjBgYOHCiTaXX79m0MGzZMcFkurmHTp08fmYOklpYWpk2bxvvMlStXeIF3Ieu6KgJXPrB///6oVKkSJBIJTExM4OPjw2MBA78PeWD9+vXsWbRr146RSqTnDPf3DRs2oHHjxqJJvMnD3+nHpk2b4Ofnp1T92L59OywtLTF27Fjm3Lp69SoGDBgATU1NODk5yTjngcLxuWXLFhw/flw0iWkuVP0Qrx/0gJiVlYVWrVpBW1ublwHw4cMHtGzZkmUvBQcHs89yHS1Uwk+M+fHixQv4+fmx4DM305ibkUQlQkeNGsWcjfLIA2pqamjYsCGT3RYK3PVm165dbB/v06dPsWULmjVrxuwOZSUP7NixAyYmJqhXrx6PkPjkyRN06NAB9vb2IIRAQ0MDBgYGcHZ2ZoG6smXLMttL7P5t2rRJrvNOmowCFD6nEydOICQkBGXKlBE90E7xO65V8vC79YOrqEHn+7179xh5wNnZGcuXL2fO7j59+rDACZecsmTJEhBCUKZMGSQnJ4syJ7jrFZX41dLSgoaGBhYuXChXXv3IkSM88gDNSly3bh2sra1hbGwseJCXGwDhkgeOHDkCgE8euHXrFiOIc/dCZVJ74RLm3rx5w1OYy8rKwqBBg9heefjwYfaePPKAkBllN27cQFhYGAwNDaGrq4uoqChevXP6/379+kFLSwvm5ubQ1NREpUqV0LBhQ2zevBkXL17k/c3s7Gy2LigL3r17x9SRpEkB0ntIWFgY1NXV2VgUEzQg6OjoKFNT+tixYyCEoEuXLgD4dldYWBgqVqyI8+fPi66cAPw7+kHHyNGjR6Grq4umTZuy9ZYbSP/rr7/Qvn17RjL79u2bTIay2Bg7diwIIfDx8cGBAwdw7do1nD17FnXq1GF+qpcvX7I2U/KAuro6TExMsGHDBtGzqeXdz+LIAykpKWjfvj2zewkprNfepEkT0XxAinwg165dY+QBLy8vXnlHCu7/xTwPAj+ex6lTp2BoaAh/f3+ZrHYvLy9oa2sjKiqKlU5SFGAXe76UhDxAbZDMzExUqVIFhBAsWLBA7rlEbHTs2BF6enrMHhZ7/ioCjQn07t0bEokEiYmJvPe49/XRo0c4dOgQ1qxZg9u3bzPSSU5ODmbOnMkUtwghcHBwQIcOHWTUO/7XePz4MU6cOKHw/ejoaBBCsHDhQgDyS1cBQPv27aGhocFKeSkTcnNzERYWxnw7XL9UcnIySpUqBUNDQ0ybNo23nxcUFODWrVuoV68eCCFK5dtVQQVlhoo4oMJ/FoGBgSCEYPHixQB+BEJycnLw5MkTJjNEFQXoj3TgF/jBSlcG9jM9GNepU0dG6uzTp088pwUhhbW+BgwYwGPQ/+qawdLgGinUadqgQQMcPHgQO3bsYAxVyhzmOuq45AF/f3+Fta2FADd7l7JKK1eujA4dOjDnMCEEI0eO5N1jbh+CgoKUyojhGpPr1q1jfaDyjtLXAPznqSwZ+v+WflCMHj0aLi4uMmvOs2fP2MG9fPnyvMCJMjm4KVT9EBcFBQWYO3cudHV10bt3bxbUffDgAbp06QJCCusNm5iYgJBCGWEK7iFNzOyM8+fPMweprq6uTJkd2o++ffsymWkK7hw/e/Ys3N3dYWRkJEpmOPdge/ToUZbd1r9/f5kMJGnyQPPmzRl5QBkdMe/fv2fygFFRUbz3Pn78iH379qFDhw5MItvU1BTVq1fHxIkTeTWFxXKClVQ2lEK6ndwAntj4XdcqafxO/ejevTsIIaxWKLdGMJc8oK+vz7KR6ZpKxxJdH06dOgVCCFq0aCF4P7hEC3rf3717BwsLCxBCYGRkxJyV9F5z5wKXPGBvb4+wsDDY2f0fe3ceZ2P5/3HcPauZsQ6zkV2WLIkk+1b2FIUUUtZIQohsoa+0WCpLlCgp7YtQSrayhighbSr7vgyGmffvj/ndV/dZZqjv1zln5ryej4dHOWdwX+fc63W9r89V2K9LWTnPuyNGjDDHtl3COKuEB+xtSE5O1qOPPqqqVavqiSee8AgP2LPeCxQocNnwgC/t2LFDvXr1UnR0tKKiojR06FCXwZwPP/zQfDclS5ZU/vz5zZIwYWFhioiI0P33369BgwbpwIEDPt9+W0afnf36X3/9pcGDB8uyLMXFxXld5unrr79WgQIFlJiY6LUs/tXmvJatW7dORYoUUYcOHbxWY/roo49kWelLxDitXr1aRYsW1cMPP5zh3321ZZd2ePPcc8+59El5mzG6ZMkS5c2bV5GRkX6tpOXNJ598oujoaK9LPwwfPlxRUVFq1KiRuS44y4DbAShv/XG+ZH/mqampHuecy4UHLl26pB9++EHvv/++FixYoG3btvm0/LqTvV0XL170Ovlpy5YtKlu2rCwrvSqb3eeZUXggEGbrP/PMMy6TqKT078muIDlixAjTr3P69OmACfZ6cyXhAft+bPz48WZiTCBJTU3VsWPHlJCQoLi4OB05ciTT+6YLFy6YUIe/zrUHDhxQkSJFVKhQIVPu3r5fTEtL0/nz5zVw4ECVK1fOfCcFCxbUgw8+aM5p9ne3bds2bd68WUePHjVBr6vljTfeUIMGDWRZliZPnuz1Z5588klZVvoSN3alRud+Zn839sD8zJkzr+o2Zyaje6pff/1VJUuWVPXq1T2WtqlVq5bCwsI0fPhwr8/faWlp+uGHH/y2VASQFREcQNCyL4Y9evQwr506dUozZsxQ7dq1TWigRYsWat++venssixLn3zyifkzzs5sfyY77Rurffv26frrr1diYqJ5ULRvAJYuXaoyZcqYm+ZOnTopLCxM4eHhZoaTr0MDTvYap506dfIYuKlfv77y5Mmju+++29zA2TZt2qSKFSvKsiyPNap97fz582rRooVCQkI0dOhQlxvEN9980yTLFy1a5LK/bNy40ex3nTp18sv34G2tLsm1U3T+/PmXHTRx/7t8Lbu0w+atQ2jcuHFq27atJM9O699++01Dhw71OnDiz84u2hFY7ZDS12Vt0KCBihYtajqDfvnlFz3wwAMu18dly5YpJibGo0PCn2E55+e/du1aU5o1OjradBbZoYHu3buba4r7Me3+97iHC3zB3mfOnDmjd999V2PHjjVl/C3L0kMPPeQRKHMPD7Ru3drvVXcy6wjatGmTwsPDFRcXZwas3L+LkydP6tdff/WYDegLlzsW/0nZUPff++s6kl3OVVm9HXawKSYmJtPwQGRkpHLnzq0xY8a4bK9zm+2S8xMnTvRpmGbw4MFq1qyZSzWWc+fOmVmTdli2aNGipvSnt2cjOzwQFhZmBrD9FRpwVgjbvXu31q1bZ6q9WJZlzlNXEh7wZ0lgZ2i5Tp06Cg8P13XXXac1a9Z4dFKfP39effv2vWx4wB9++OEHl/DAkCFDJKUH6ewqG9OnT9ehQ4e0e/duffHFF+rXr5+pOmT/utqz+TLi3AfOnz+vvXv36sCBAx6VD/766y+XChcTJkzQ1q1blZKSog8//NAEifzRWe8815w7d04rV65UWFhYhuV8f/rpJ+XPn19FixbVzJkzdeHCBS1dulQNGjRQdHS03n//fV9tuovs0o6MjBkzxsy0lFyvgd4mY8ydO9fn25iZ4cOHKzQ01GWNeenvKgStWrVy6c9xfp8pKSlatWqVz7bVG2dQa9iwYSpevLjH8Xq58EAgcLajf//+io2NNZVYnbZs2aLSpUvLstKrY3oLD/jrHtFbSNEOZy1atEhS+j5jL5/pDA1I6bOzS5QooS+//NK3G+5FRtdgZ59gRs8fUnrVLXuJwddff/2qbus/kZaWptOnT6t48eKKiIjI8J7P3of++OMPNWrUyGdVj7z5448/lJiYqJCQEJd+/xMnTuiDDz4w4wJ2pTz7WTw6Olrdu3fX/v37fb7NY8eOVUxMjKKjozVq1KgMKxb9+eefqlSpknLmzKmxY8ea0FJqaqrLMd2qVSvFxcVp69atPtl+d3ZQw9t5014qbdSoUea11NRUr8d5cnKyy3cI4J8jOICg9emnn5obr/bt22vEiBG66aabzOBIuXLl9MUXX5hOl0OHDpkOu1atWiklJcXvnSxOzrLT9uwmu1NVSl+f114X2ZlA/PDDDzV48GDlzZvXbzcGUvqNf4MGDVSoUCH9+uuvLu85Z4zaaWj3m4gNGzYExDpF7777rsLCwnT33Xe7dBZdunRJ9evXV65cuTRkyBCvCchvvvlGt9xyi186UZ3J+ZSUFO3cuVMXL140DyvOWVlXOmjiD9mlHTbnQ/3gwYPVpk0b1apVS3Xr1tVtt91mfs79XPT777+bgZPy5cvrpZde8ul2u6MdgdEO9wG2Y8eO6dlnnzVroJ44ccKsfde1a1fzc3/++adq1KhhKvA0b97cp9udEeexumbNGhMeiImJMeuf9+jRw4QBLjcb0B+cgz5169ZVTEyMSpcurQYNGqhq1armHNWrV68Mly2wS4m2b9/eb7NfnZ/hvffeqwULFngEAMePH6/Q0FA99NBDZtDTuUyU+/fgi07WtWvXmv+/GuEBf8nq5ypbVm6Hc//t2bOnLMtSzpw5vYYHduzY4bJswZQpU3Ty5EmXv2/mzJmKjIxU5cqVfbL2vG3Pnj2qUKGCLMvSPffc4/KsMHXqVI0ePVqHDh0ygbMiRYrom2++keQ9PPDFF1+oTp06yps3r9/WoHeed1u1aqXY2FglJCSoUKFCypMnjzm2L7dsQYsWLfyy/Tb7c01OTlatWrWUM2dODR482KM8s5MzPFCwYEF98cUXvtpcD+7Xq++++86EB2JiYkzoplKlShmWiT937py++eYbTZo0KSBCAzNnzlTjxo0VFham6OhoXXvttZo+fbpLGfJ9+/Zp0KBBZj8rUKCASpQoocjISBUvXlwvvvii+Vl/3J/07NlTBQoUUMeOHdW4cWOv25KWlqazZ89q2LBhpu+kcOHCpk3eBiB9Lbu0w2Zv95w5c2RZlmrXrm1ec9572KHeoUOHyrIsTZs2zfcbm4Hk5GRVr15diYmJLhNB7GePli1bulxjfvzxRz3//PNeJ1T4437LPtZPnz6tBg0amKDWq6++qvPnz7vsW5mFB/wdInC2o379+goNDVWVKlX04Ycfen2O2Lx5s9fwgD8r7jjbMHToUBNEsWfeP/7442YGsrfQgCSzFr2/+xCd+8WpU6e0fv16/fTTTx73gVLm4YHevXsrX758fht0z+yY7NKliyzL0qBBgzwmgTn/XM+ePRUWFubXe5Pz58/r7rvvVkhIiG677Ta98cYb2r59u1l+zrIs5cuXT6+//rq+/fZbnTp1SoMHD1aePHlUoEABc5/vK3ZY5tZbb73svnzu3DlNmDBBefLkUeHChTV+/HiPSiGzZ89WeHi4mjZt6peqeb169VKdOnVMJUz38+Unn3wiy7I0fPhwSRlXFJHS+36dYVQA/xzBAQSFvXv3mrL9zhuTp59+2mWWgt1h179/fzNzz3mhsi9SN9xwg19vlFNTU82/7y3tu2PHDsXGxqpw4cLavXu3lixZYkoA2w/A7h0RmXUy+cKuXbtMp6RTp06dZFmWunXr5lJSaMWKFRneUPpzEMieReIsved+M2M/BJw6dcpjaQVnuSVfcXbMDxkyRLVr11ZYWJhuvvlm9e/f39xMBvqge3Zph83ej8+cOWNmH0dFRbmcrxYuXOjx87bff//drGNWrVo1v5VBpB3pfN0O+9pgd7bZHYmnT5/W6NGjzc8dP37cBOR2796tIkWKqFGjRubP2f/t0KGDGjVqZNrqy4EryfXzvHTpkjne7e1LS0vT119/bcIDlmWpcePGpm2BUE46I+fOnVPDhg0VGhqq0aNHu5RDnDp1qooVK5ZpeGDcuHG6/vrrPZY08Ae7FHZERITuuusuzZ8/37y3efNmU9bROdPVXwYOHOjRqZ4dwgNZ7VyVkezQDmdVlm7dumUaHnAuW1C6dGlNmTLFnAvmzJmjpKQkxcbG+qWs7pdffmnKn959990upa/tbTxx4oTpGL5ceGD58uV+LxOanJysm2++WdHR0Ro4cKB+//137d27V++++67uueeeTMMD33//vd+uhe7S0tI0bNgwWZalRx55xDzPZTYw5QwPWJaV6Xq4/yuZ3ZM4Z43ZlQfsQdz4+HgTbpQ8K7l4Gzj1Jee/O2TIEFlW+nI7t912m+rVq2fKxbdp00br1q0zP7t//37T2Z8/f3517NhRO3bscAkY+KNNycnJ5ljPmzevSpUqpT/++CPDZ+vffvtNzz77rMqWLavChQurefPmevvtt837/vpesks7JM9r28GDB021l969e5v724sXL7oc923btlVsbGxALVVw9uxZVa1aVTExMaavza6g4B4akNLDDyVKlPB7RS3JNah18803KzIyUgMGDMi0+pp7eOCtt97ye2jA3pft7yIiIkL9+/f3aId7tSdneKBdu3ZXvez6lUhOTla1atVkWZaee+45SenX57x586p48eImWD169GhT/t42ZcoU5cmTR506dfLrkpTO6kcPPfSQCY3nzp1bZcqU0cyZM12uC1LGzx9LlizxmIDlK85r/JdffukR2n///fcVHx+va665Rq+88ooZkHY+n8+YMUN58+ZVixYt/L7M27x585SUlGQqZNnVHBISEtSuXTtt27ZN0t/HU2pqqlmWb+LEiT7bzqlTp5qJje79AM7rlvP///jjD/Xp00e5c+dWrly5VLduXb355pv65JNP9PDDDys2NlZxcXEe+50v7N+/XwULFpRlWbr99tu9hgfsSlR169bVjz/+aCoNPP744x7Hct++fRURERFwlYOArITgALK9999/X02aNFFsbKzHw8j58+f11ltvqW7dumrdurV69eqlnTt3moFd+0bHvqFZt26dx0x+X7Av9AcPHnR5/fTp06pdu7bH0glnz55Vx44dZVmWOnbsaNYmc1Ya8GdJdm83MXYn3K233mres0MD3bt39+hgbNmypdq2bRsQDy22ixcvqk2bNgoNDTUl9jIqmySlz1pq3ry5X5dXcKa17e0sXLiwqlatagarKleubII3zodK50PLE0884Zftt2WXdri7dOmSOnfurNy5c6tPnz7atWuXZs6cqbvvvluWZalEiRL67LPPzM+7H8e//PKLxowZ41Hm3NdoRzpft2P9+vVq3769mYV34sQJVaxYUaGhofr00089ft7u9LY7IZzHSbly5fTMM8/o119/9Qg8XW32dcJ9gObUqVMqWbKky+D0N998ozZt2pgBuo8++si8F0hVgpzmzZuX6Syet956y1QM6tu3r0fHwIkTJzxmb/jD6dOnzQyNxMREswxS165dTefDrFmzTADT23qqvrJv3z7dcccdsqz0UpPTp0837/3b8EAgXT+y2rkqI1mxHSNGjND48ePN7/9teODaa6/VCy+8oBkzZqhQoULKmzevzytSuQ/2161b14QHNm/ebN5z3oNdaXjA3+yy2A8++KBHOfm0tDQTgnIGnZzhgR07dvj8WuhNSkqKbr75ZhUvXtyl5OzlOCvU+apz+ErvSX744Qf17t1buXLlUlhYmEaMGGHe8/egW0YmTZpkOu+d/Q2rVq1S4cKFlT9/fo0fP950gkvp16FHHnnE67nMn2HHo0ePqm3btub6uGTJEkmZ71dnz57VkSNHXNrn7xBdVm2H+z7ubbb9woULFRsba+4L3dkzRhs2bOiX5Z8y07dvX4WFhWnJkiWaMGFChqGBTz/9VFFRUerYsaNfB3adUlNTTSWHRx999Ipm3tvhgdy5c+uaa67Ru+++66vNzVBKSoq6du0qy7I0cuRIj2ugJK/l1jdv3qzy5cvLsix17tzZF5vqwXkf8cwzzyh//vwaMWKE6RM8d+6cBgwYYIKm7dq18wgNvPjii0pKSlLZsmX1yy+/+HLzXTirH9lLPpUqVUo1atQw/bfR0dHq0KGDNm7c6PJnnc8fzgkB/uAMP9j3gM2aNXOZyX7q1ClTvbdIkSIaMWKEdu3aZSYDPPHEE4qPj1ehQoX8GhRy7l/Tp0839+T58uVTo0aN9O677+rAgQOS/r422MePfW7wVaWaHTt2qEyZMsqXL59Lf7Kzmp/NPgbs68lvv/2mJ554wgT67YCEZVmqUqWKX5//tm3bZpYhvu2228z12N7Pzp07pxYtWihnzpwqXLiwQkNDNWrUKI/rxLRp01SgQAG1bNkyIPpJgKyK4ACytQkTJihv3rzKmTOn7rnnHi1evNjrz2U2y9t50bXLcM6YMUOSbzvANm3apLi4ONMZmZKSoooVKyokJESTJ0/22BZ77R/7V2ahAV9yPgw7gxAnTpxQmTJlVKlSJZeOR2+hgSlTpsiyLD377LN+64R0f0C0t8PuhNuwYYMkqUaNGl5DA5LUokULFSpUyG/lxJzJ+bp16yoiIkL9+vUzs5U2btyopKQk06G1b98+Sa4z9t98802zjx09etQv30d2aYfN2UGUlpamYsWKqUePHqY9qamp2rlzp7p37y7LslS2bFmXdSLdt91fnY+04+8/4+Srdpw9e1Z16tSRZVm699579eOPP+r6669XZGSk/vOf/3i97tmzc59//nmX159//nnlzZtXr776qk+23Ztvv/3WpYP00qVLuv7662VZlsaMGePyuX7zzTemszg6OlpvvvmmeS+QBq5sjz32mCzLMgEI5+wF2/Tp0805qm/fvn6ZdZwZ+3Pds2ePChYsqDp16ujVV19Vq1atFBYWpmLFimn06NE6efKk7rvvPkVERJhyzP66J9myZYvuv/9+87n+k/CAc39zdt758/qRVc9V7rJyO1avXm3OO1OnTjWv/9vwQKFChRQREaF8+fL5ZRkrKfPwgHOgxz5mLhceCBStWrVSVFSU+Vy9LZlit8OyLLOPOau+BYJt27bJsiw1adJEUub7e0pKikvp4wsXLvhsLd5/ek9ihweio6NNmVl/VxfIyI8//qiyZcuqSJEipvPe3lY7oNKyZUuPgR8pfXCuf//+sixLxYsXd5kV589j5ujRo6aCU/78+bVlyxZJ3j97bxMCAuV4z2rtsI/f8+fPa+HChRo8eLDuuusujR49Wu+88475uUOHDplBU8uy1KBBAz3zzDP6+OOP9eCDDyo2NlYFCxb0S7jJGRRzHrP2/7/88ssmzGFZlu68806PY2PdunWqW7euEhISTOAjEBw/flzVq1dXsWLFzGBWRucj577zyy+/6IEHHlBiYqJfQrPu+/FPP/2kokWLqnr16h7vffTRR3rwwQeVP39+tWjRwqO/bcOGDapWrZpLdU1fcc5qP3LkiO68807VqlXLZalKKb3f9I477lBERISuu+46TZgwQVu3btXy5cvVuXNnRUREKD4+PiAqtZ0/f17NmjVTZGSkRo4cae6Bz507p/Hjx6t8+fIKDQ3VXXfd5TGY6+y/OnLkiF/Ou87g6M0336ywsDC1bNlS69at8/hejh49ql69epnQU0xMjMqXL2+WhylVqlRAfCfOY/ro0aPatm1bhgFL58/Wr19f8fHxphrB1fbRRx/Jsiw99NBDktK/C/fz0ezZs9WrVy+VLFlSLVu21PDhw3Xo0CFJ6f3vP/30kwYPHqwePXro/vvv17x580xfqT9t27bNhJSc4QF7n5o9e7YKFSoky7LUqFEjj2ek5557TvHx8SpRooTf+tqB7ILgALIte+3AOnXq6Msvv8z0Z50XWPdyyLYXXnhBkZGRql27tkkZ+kpqaqpeeOEFWVb6OohPPfWUKlWqpMjISI0fP97rAFBaWpp5UO7du7d5LVA6W2655RY1bdpUycnJSktL07lz59S+fXtZlmVmiD/44IMeD1cfffSRSpcurcqVK/t94OTUqVPq0qWLmcUu/T2bskmTJqa07rBhwzxCA08//bSioqLUp08frylvX7l06ZIeeeQR5cyZU48++qjpmN+xY4fp3LbLIZYqVcrcSDo7wd955x2/dWjbsks7bKdOnVLHjh311ltvqWLFiiY84xxQ+eOPP8zASbly5TKddekvtCOdP9qRmprqMsiTN29eRUREaPLkyS4DcE5z586VZaWve7xw4ULt379f48aNU2JiosqXL+/Xkswffvih6RwZMGCAKlWqpIiICJcBB2d7vvnmG3MNjI6O1ltvvWXeC5TroM1e4saeoeBtCSJJatiwoSwrfRmADh06+HVGhrfwnP3aSy+9ZEKWFy9e1AcffKBKlSrJstJLsNuDcddff71fSlE6j8ctW7aYwN+Vhge8zXh98803A+L6kRXPVd5k1XacPHlSkyZNUlRUlHLnzu0S2v2n4YFmzZqZc/f333/v03a4yyw8YA/ESd7DAyVKlNDKlSt9vcmZOnv2rG688UblyZPHdFK7r3suScuWLVNiYqKZjeWtUo8veQsFbN261VRxyWhmsb1f7dmzRxMnTvRYz9YX/s09yY4dO9SrVy8THhg6dGhAhgeWLFmi0NBQTZgwweV1Zwl253Fid9rbDhw4YCoPlC5d2iXseLVkVgXEOchz1113ybLSl3J0L80cCLJLOyTX2cdNmjRxmQBi/2rXrp05Xg4ePKjXX3/dDJ44f1WrVs0vM0ad90dpaWmmCoozrC/9XVUyLCxMc+bMcXlv8eLFZuLFzJkzr/5G/wPLly+XZaUvhSZ5rwZhc79X/PXXX33ah7hr1y6tWrXK63v2gGO3bt3Ma8nJyerWrZtiYmIUGhqq8PBwRUREKDY2VrNnz5b093GW2fIMV9vZs2d10003qXfv3rrhhhv05JNPet2mDRs2qHv37mbZm8jISPMM1bhxY7+UYXeyP8v58+fLsix16NDBHNvOJevmz5+vChUqKCoqSpMmTZLkut/5s//KOXmnRo0aioiI0GOPPZZp3+bx48f12muvqV27dsqdO7eio6NVs2ZNPfroo/r99999tekuvN3/ZfQckdEz+lNPPWWCUO4VLq6WZ555xvQ1S3/vN8nJyfruu+9MBWL3X7feeqtf7gP/qYzCA1L6Z//YY48pNjZWMTExat26taZOnaqpU6eqRYsWsixLSUlJfn9+ArIDggPIlp5++mlZVvq6OO43Uhmt9ZOZKVOmKCEhQfHx8X4rS3nkyBG98sorCg8PV1hYmMLCwvT000+b9721xb6BKV++fECV59m9e7fy5s2rSpUquWzXTz/9pAIFCpjBXbuUpW3evHkqV66coqOjLxsGudrS0tLUuXNnWZbl0ln9xx9/qESJEubBxJkcts2YMUOFCxdW5cqVzfpf/rJ161bFxcXplltuMQ8re/bsMR2+/fr1kyRT/r9EiRJey/37W3Zph613796yrPRSxblz59aGDRu8PsC4D5wEwrrhTrTD/+344osvFBUVpdDQUF133XUmde2tsys1NdWlPLO9nl+RIkX8XrJcSu+wszt+QkNDva4r7/xe3MMDzvXQA4G9rfY9S61atUypTec13f6uOnTooIoVK6pixYrKnz9/QMwImDhxosu6zZK0c+dO1axZU5GRkVq7dq2k9JkzQ4YMMR0A9q/77rvPD1vtOgC3fft2cz2/XHjA2WE0YcIEPfzwwwEz2C5l7XOVU1Zux6lTpzR58mRFRET8V+GB7du364477vB7SNb2b8IDdqW2ihUr6ty5cwFzrFy6dEmNGzeWZVkaNWpUhuXvDx06pKJFi5qSwXnz5tXZs2d90g73bbI74k+fPu2y9vrx48dVuXJlJSQkmPOt8/zmPIe1aNFCpUqV8usyMf/knkRKrzxghwfy5Mmjhx56yK/7kbd95cknn5RlWXrppZfMa0888YQJDTgrc5w4cULt27f3GNA7cOCAmfRQuXLlq1qa3dmGw4cPa8+ePfrhhx/M85P09z509OhRs/xToA26Z5d2SH+fX+1QU3h4uDp16qSVK1fq9ddf1yOPPKJ8+fLJstJLgDv3j3379unZZ5/VI488oocfflhvvfWWzye5SK7fx5w5c9SuXTsVL15c9erVU8eOHbV582ZznCcnJ5swR86cOdWzZ08NHDhQ9913nyIjIxUaGupS7jtQrh1btmxR7ty51aJFC/NaRlWOli1b5rdKbW+88Yap8OI8L9l+/vlnJSUlqVKlSpo5c6ZefPFFVahQQZZl6aabbtK6deu0du1aDR48WJZlqU+fPn5ohXcfffSRcuXKZZYisPt4bM7v49ixY1q7dq0efPBB9ejRQ4888oiWLl0aUMt32Od9u2/TfZZ+WlqaGSAuUaKE2fZAOXelpqaapQ4HDRrkERpITU3VN998o59//tlMQHAuQWgHg/1Vycn+vC9duqQzZ85o48aN+uuvvzz2Effj3Pn5v/TSS4qLi1ORIkV8en81c+ZMWZalhIQEs3zYwYMHNXHiRFWvXt1UduncubNGjhypDh06mIlUAwYM0IULF/y6fPGVuFx4YMqUKapdu7ZL30JiYqLatWvnMZYA4N8hOIBsZ82aNUpMTFShQoVc1t9MS0vzeNh3/73zwnn8+HH98ccfuvvuuxUdHR0QpZP27dunhIQEk5rNKDhgX/DPnDmjKlWqyLIss5xBINwMnDp1yjwsDh8+3OW9r776ypTdu+WWWzRhwgRNnTpV9913n0JDQxUdHa2PP/5Ykn9vbFJTU/Xcc8+ZTlOndevWmTY0a9ZMP/30k3bt2qVffvlFffv2Vc6cORUXFxcQA3Hr1q3TTTfdZDob9+/fb2a9OFPor7/+uumwKFOmjF9nHnuTXdph+/PPP02p4oiICH3yySeSvHdYOgdO4uPj/R6qcaId/muHfb6/9dZbFR4ebsoA3nXXXSaw5K3T4ejRo5owYYLKly+vxo0bq1+/fn5d/9EpJSXFLDtid1DY3Gc52dauXWvCA5Zl6b333vPpNnvjPmPywIEDKlWqlCzL0tChQ02ni3vJwXr16umBBx7Ql19+6deBH5tdgjkyMlJTp051CVa+8sorJhhgd2CnpaVp/fr1poPJsiy/zOC1O6eSk5PNfd327dsvW3nAuY/ZbS9RooRfOugzkhXPVd5k9Xb8r8ID7rM0fSWj+2vn4O6VhAdOnTqlBx980C8ljTNib9u8efMUExOjevXquTwvOn8mJSVFZcuW1UcffaTx48d7/NzVtnr1ag0ePNj8/vjx4ypZsqQsyzKf98WLF01ItnLlymamm7MKjJQegs+VK5fuvfdel45XX/m39yRSeuWBvn37mhlkzqXufMm5fR988IEprz579mxz/ZakcePGeQ0NSH9fG+fNm+fx9+/bt0/Dhg27qrNHnefQWbNmqX79+sqfP7+io6PVqlUrvfzyy+Z9e/85duyYGXQvW7ZsQAy6Z/V2DBkyRG+88YYk13vCfv36mf4RZ0XJtLQ0rVu3zkywaNu2rc+3OTPOa4a9zrdlpZcitwd48+TJo8mTJ+uPP/4wPztw4EBTadIe5GrWrJnLvXqgDJBK6YNYdoDZef/qrRJK8+bNFRMT4/NZ1GPHjlVMTIxy586txx9/3GWCi72tJ06c0PDhwxUdHW0++woVKmjChAkulcCWLVsmy7LUsWNHn7bhcubMmWP6OEuWLGmWCM2K7IqrdmU8bzPaU1NTdf311yskJMT0dfnab7/95vUe/OLFi6pXr54KFy7sEQCcNWuWbrvtNjO4XbduXZcZ4M4lTPzRr+t8HhwwYICpdFK4cGGVK1dOCxcudDlfufelp6SkqH///ipQoIBfZrf/9ddfqlevnhks7927t8qWLavQ0FCFhYXphhtu0Ndff232oyNHjphnk9q1a/u16u0/kVl4QErvR3nnnXc0a9YsvfDCC/rxxx9dluUC8N8hOIBsZ9asWQoNDdXEiRPNa+4PHG+//bbGjBmj2rVr65FHHtGCBQtcfvbw4cNq2rSpYmJiFBYWplatWvm1k96+QRk2bJjy5cunFi1aKDw8XLlz59Zzzz1nfs7ZTvvGzu68aNq0qW83+jLWrl2rsLAwVa1a1QxK2dv/3XffqUqVKuZB037wbNKkiZmhEQghiJ9++sms0WU/PNqf+5o1a8wAV0xMjGJjY83DWY0aNQJmBtnZs2e1bds2M8t10aJFyp07t9q1a+fyc99++60iIiJMSrVq1aq6dOmS378DW1ZuR0YzWvfv329KVSYkJJjUrLcOlD///FN33323cubM6bd0Le34WyC0w/bqq6/qhRde0IoVK8wD8R133GEehL0NikrpbUhLS8u0DKev2Mfn1KlTVaJECXXo0MF03A0ZMsT8XEblA9euXatbb71VERERfjn3un+2zsFAeztnzJih2NhYxcbGavjw4R4P8y+99JJy5cql559//upv8BVIS0vTzp07NWTIELNObe3atV1miD3wwAOKjo72Wqb83XffNa/78vxrf95nzpxRuXLlVK9ePTN4kNmyBc7vbPTo0bKs9PWS/RkozS7nquzSDsl1X/434QG78zujGfC+4Jx9derUKX377bfat2+f12vFlYQH/HV/dbnBpu3bt5slxdq3b6/vvvvOY8bbpEmTlDNnTq1Zs+ZqbqqHtLQ0nT59Wjlz5pRlWRoxYoQkqVKlSoqJidGYMWNcBhVPnDih66+/XpaVvgTMli1bXGYkT5o0SUlJSSpZsqTfQ2dXek/i/v1t3rxZAwYMCIjnp0cffVSWZWnw4MG6dOmSNm/erIiICJUpU8aUBm7VqpVH0OSrr75SyZIlddNNN2W45u7VPPadn6kd4MuZM6eaNm2qBg0aKCIiQjlz5jQBCMl10L1t27ayLEvFixfXt99+e9W283KyejveffddWZala665xuV6dfLkSVWuXFllypQxgx72dttt3rBhg5mc4Czx763Utj/MnDlT4eHhatmypVatWqU///xTa9asMUsTREVF6YknnnAJ//z+++9avXq1li1bpp9++sllwMcfoQFvn5/zNXt5sbZt27oc487npeeee05RUVG6//77XSpgXG32uenWW2/V6tWrM/3ZgwcPatGiRXr00Uf17LPPav/+/R7PfA8//LDCw8PN8im+3rfs82FaWppHkHL27NmqWLGiwsLC1K9fv0yreGa0LK0/2dvx8MMPe0x0cW6vfb/YunVrWZalRYsW+XZDJQ0ePFgFChTQihUrXF5PTU3Vnj17FBMTo5IlS5pKsgcOHDAhrTx58qhq1aq67rrrZFmW2rRpExAD1s6lYezZ+UWLFlXFihVVunRpWVZ6tcI+ffp4hPl+/vlnPfnkk6pYsaIsK31pZF8ufWFfFy5evKgFCxaoatWqLjPuK1WqpJEjR5rri/O+YuvWrYqJiVGePHm0c+fOgDgeMjvn2v/NKDwQSMEyILsiOIBsx551Ya/FZQ8kXrhwQT///LO6du3qcmG1f/3nP/8xf8epU6c0btw41a1bV/PmzQuYNYBOnDihRYsW6dChQ5oxY4YiIiKUK1cus96VlH7xdF5Af/75Z9NG9zUV/SUtLU3Jycnmwd1O3Et/39gcPnxYmzZt0ty5c/Xaa69p165dLt+Dv29y7H//2WefVUhIiFlbKi0tzXz+v/32m5544gm1bNlStWvXVvv27TV37lzt37/fr9vsfAhz/ldKX0M7LCxM33zzjaS/B0v279+v8uXLa9myZWrbtq1fO4yySzukv9tw8eJFlw53uy379+9X8+bNTcjB7mj0dpP8119/+a10Oe0InHbY2+ptcPrrr782D8e3336713XDv/76a69/nz+4f64nT57UV199pbS0NC1evNgMqjg7h91n6dvWrVvnMmvAV5yzGSZMmKAuXbro7rvv1qxZs1wGfvbu3athw4aZDuFGjRrpzTff1BdffKGBAweqQIECKlGihN+Xt5E8v5ePP/5YXbp0UUREhCzLUuvWrbVy5UotWrRI5cqVU8WKFc0DvvvAnD9CgBcvXlSHDh0UFRWlfv36mftEKT084LxPnDZtmsufDZTQQHY4V0nZpx0ZlVg9deqUpkyZ4vV+3Rke6NGjh9nnNm3adNW3NyN2O86ePas+ffqYTtHExEQ1b97c68zJ5cuXmxlPHTp08Jhh7Q92O86fP6/Fixdr/PjxevzxxzVr1iz9/PPPZv/57LPPTMi3cePGevrpp7V3714dPHhQTz31lJKSklSlShW/VRVZvHixCWYVLFhQERERevrpp106TO1jaPfu3SY8ULhwYTVs2FCdO3c2S3QVLlzYL+es//aexL6Pd/87/OWDDz5Qvnz5XKoJpKammgE2y0pfdsiusuFsa6NGjRQTE2MG4fxlwoQJpiKCfc939OhRde7cWSEhIR6hTOeguz14NXfuXL9su1NWbceJEydUv359039gDyxv27ZNlmWpSZMmkjyvc/bvx4wZI8uy9PDDD/t2w71wD7p06tRJFSpU8Fo1Y9SoUQoNDVWuXLkyrf4VCDOQU1NTdfr0aZ04ccKcd+y2fvnll6pWrZrCwsLUrl07jxn9U6ZMUWJiokqXLu3Tim3PP/+8CS25n+ud+1JmJeGd3+fs2bMVFxenmjVr+uUaaG/nuXPn9Mwzz6hFixYez0Bz5szRtddeq4iICA0bNszn1R3+F7755huFhYUpPDxcM2fONK+7P8/WrVtXxYsX93m1zDNnzqhBgwayLEuvvfaa15/p0KGDLMtSu3bt1L17d7Nsa8uWLfXLL7/o5MmTWrlypTkuruZSPP/E+fPn1aRJE0VGRurxxx/X+fPnlZKSopMnT2r48OFKSEhQeHi4evXqpV9//dX8uTlz5igxMVFly5bVqFGjfPrsYR+jp06dMtevrVu3avDgwerXr59GjBihv/76y/Qx2OdR+3jau3ev8ubNq0aNGgXEoLtzaY5jx47p+++/9zjf2Nu5fft2Ex5o1aqV2Y/8tcwFECwIDgQ5u+PB34Ow/wt2J0PPnj1NEs124sQJTZs2TbVq1ZJlpa+N3KJFC3Xs2FFNmzY1nXXOh8fU1FSfrWPpzeX+3ePHj2fYGWl788039dVXX2nOnDk+L53kbcaEe5vsco0VKlRwudEPpP3RfVvcf79ixQrlzJlTkZGRLqlz9/Y7B4h87XLbYt+MnT9/XuXLl1fx4sU90vHDhw9XVFSUX8Mn2aUdNueAYu/evRUREeF1DcH9+/fr1ltvlWVZqlKlSqazLv2BdgRGO67knHPp0iWtXbvWpaPe+SD82muvKTEx0WO9SH+w25OSkqKPPvrIa8jn/fff9xoesM2ZM8dlLWhfc85ut2dWOn917tzZZZBw7969mjJliooXLy7LskzHt12K018D1Veybx87dkxLliwxszRKlCihe++9V02bNlWePHn05JNP+nUWtbNTYe/evSpevLgeeughExpwn43hDA/YQVR7zWp/hway+rnKll3aYTtz5ozGjBnjUfHgSsMDd999tyzL8tuMam+zr8qVK6c777xTN9xwg7lf/+KLLzw66ezwQFhYmJo3b26qePiDsx3NmzdXWFiYy3m3cuXKmjBhgmnD559/rhtuuMFUsSlUqJASExNlWell8X15rNvLDFy6dMls36JFi8z1oFatWuZnnYPo9rPJsWPH1K5dO7P0jT2DrmPHjj6vNPC/vCd56KGHJPnn+dC9ktGTTz6pa665xmMfX7VqlW655RaFhobqxhtvNAOjhw4d0uuvv65y5crJsixNnTrV/Bl/tGfRokWKj49X7dq1TVgrJSVFzzzzjGJiYpSYmGiOBecyGfb+ePToUb/MeHWXldtx8eJFvfjii4qKilK5cuXM0oVbt26VZaUvuZPZOfSjjz6SZVmqX7++zpw5ExD9Ji+++KJefvllFS5cWOPHj3d5z3m9sJcRLFq0qN+CfhlxBucefPBB3XTTTapQoYJatmzp8X28/vrrplR+ZGSk7r33XnXq1MlU4PH1tWPHjh0qV66c8uTJY5ZQkVwntNjspQjs/cZbZbnx48crISFBCQkJLsuQ+YrzOt6sWTOFh4crb968ev311z3a9Oqrr6pUqVKKiIjQY489FnDhgcvdq54/f15Dhw5VeHi4rr32Ws2aNcvjZ+y17G+//Xa/lGA/cOCAOV8mJydr8+bNLtfGNWvWqFGjRua+o06dOnr55ZddtvX48eNKSEhQjRo1fL79kut5yN73X331VVmWpXvuucc8Dzp/bubMmUpKSlJUVJReffVVl7/viy++0C+//OJyH3+12dt99uxZ3XjjjbKsv5e4yIxzH3zooYfMpEnnUhH+4HwOHDhwoG644QZFR0frmmuu0ZAhQ1yCo/b+5h4esMez/NnHAGR3BAeC2LBhw9S5c2cz+zkQHjr+DedsdSn9xsVe/61p06YaO3asbrrpJsXExMiy0te0+/LLL82A4s8//6yBAweamTL+LlsuuSbvzp49qy1btujw4cMelQ9OnjyZYWfka6+9poSEBJUoUcKUjfIV583JO++84zH7yH5ASUtLU/PmzZU7d26zJm0gXfSdM+EySj5Kf9+AjR071uM9d/6YWSmld9hNmTJFXbp00fXXX6/777/fYyblqVOnVLZsWVmWpQkTJpjXp0+frsKFC+vWW2/ViRMnfLr9tuzSDpu9b50+fVp16tRRaGio6tatq8WLF3t9gHeWbHYOnPj7eKEdgdEO5/Exffp0devWTVWqVFGXLl307LPPulzX3DvqmzRpol27dmny5MkqXLiw8uXL59dBH8m1865z584KCwtTyZIlvVZrcYYHnDPL5s+fr9jYWIWGhur48eN+u65fuHBBTZs2VUREhLp27aqlS5dqxowZZp3qFi1auFR5uHjxovbu3auhQ4eqa9eu6tChg5kF6w/OfXrVqlV6+eWXNXTo0AwDib/++qvGjRtnBknsjvtatWq5DAhdbd6+79OnT2vSpEmaN2+eIiMjMx2Adg8P2Gt0+js0kNXPVbbs0g5bamqqGfjv0aOHx6y4Kw0P+GsgxT5ekpOT1bBhQ0VGRuqRRx4xg70//vijrr32WlmWpTJlyuizzz7zCA+sWLFClStXVt68eX0+I87m3qkaEhKi9u3ba+XKlXr77bc1YsQI5cuXT7ly5dKoUaPMsb9t2zZNnTpVN954o4oXL64qVaqoW7duPl324tFHH1W1atVcZqieP39ed9xxh0vw4dFHHzXvO/d/Z9juzz//1FdffaXly5fr0KFDLlVVfCG73ZNI6bO8R48erTp16ujee++V5DkjdOnSpWrZsqX5rkqUKKGCBQvKsizFxcVpxowZ5md9GXxyHt/du3dXWFiYWSooJSVFkyZNUkxMjEqVKqVjx47pnXfeMRWEBg4caP4e93Ozr8Nb2aUdUvpa0/Yg8x133GFeb9y4saKiojRz5kyP+xj7uNqzZ48sK315GH/wtgSofZ93zTXXmOub83N29qnUqFFDUVFRZvnJQOAM+trnorx585olKePj4/X222+7TEhYvHixevfuLcuyTECtWLFiat++vc+XTLIDZr1795bkPTAwc+ZM9ezZU0lJSWrevLn69+/v0id36tQpLVu2TLVr1zYhOzvU4kv2dp89e1bVqlVTzpw51atXrwwnjEiu4YFhw4b57ZnJnX3MXrhwQatWrdLkyZM1ZswYLVy40FSlkaRNmzbp3nvvVVhYmCmPv2zZMm3fvl2PPfaYEhISFB8fr927d/ts29372KW/J+ckJSVp9erVLtU/T58+rcWLF2vJkiVeB6THjh0ry7I0ZswYn1abc7bD/b61b9++sixLy5cvl+R9+Ua7wksghJ3s47pv374qUKCARo4caQbOM+Jsy4wZMxQVFaWqVav67T7d5nwOtJcNK1asmBo2bGiCATfddJM+/vhjjz/jDA/UrVv3sp8BgP8OwYEgtW3bNhUsWNCsCZVVwwNDhw6VZaWvTWk7cuSIJk6cqHz58rl0tJQpU0aPPPKIueFy3jh88MEHsixL1113nd+T287k3eDBg1WrVi2FhISoZMmSqlKlij788EOX9KYdHrA75x955BE9+uijio2N9UlnS2afld2JGhsbq//85z9av369y/uXLl3SxIkTZVmWmjVr5vfZY95K450+fVp169ZV3bp1tXDhQpcbE3u2z8qVK5U/f35VqFDBfDf+2oc+//xznTx50qV86ZkzZ0znRK5cuZQnTx5zXLRv3167d+82n71zEK558+am/GxSUpJPE+fZpR3euHdsR0REaNCgQRk+EDtLNtsDJ9WrV/fpWmre0A7/tWPSpElm7Urng5ddSjA0NNTl+nf77bdr1apVpoPo0qVLWrdunekcsjtWixQp4vPqNO6c7alRo4bCw8N12223adu2bRmm+t9//31FRUXJsix16tRJvXr1Ur58+RQXF+fSMeMrzvuLb7/9VklJSRo6dKjLDNE1a9aoWbNm5hzlvkREIHB2NvTp08fjvioyMlIvvviiR+fD+fPn9fvvv+vee+81QU7LsryWrr1anPuKvYSTPaBTp04dlSxZ0qyxm9H12j08EBcX59fQQFY8V3mTXdrhlJKSonfeeUc33nijwsLC9MADD/zr8IAveLvfvXTpkh5//HHlzJlTAwcONPe727dv1wMPPCDLskxHXfny5fX55597DMCtXr3a78upXLp0yQzmPPbYYy6f7eHDh1W8eHElJCRozJgxHgPqFy5c0JEjR5ScnOzT0qd//fWXihYtKsuy9OGHH5rXT506pRdffFELFizQ0qVLzbmof//+5mecYXN/yS73JDt37vS6/65atUqWZSl37txKSkpSz549JXk/jn766SfNnTtXN998s2688UZVrVpV48aN05o1a8zPXM3v6sSJE/ruu+/04IMP6p133vF4r3fv3ibofunSJc2fP19xcXEqUaKEuSbu2rXLdOSHhIRowIABV217s3s7nOzv3f7vd999Z5anevHFFyVJ48aNk2VZSkhI0Oeff+7xZyXp8ccfl2VZev755yX5v/9u48aN6tKli3LlyiXLSl+uyubctosXLyolJUXt27eXZVmaPn26PzY3Q/YyVrly5VL//v31448/aseOHWYZ1NjYWL322mse1QzXrVunpUuX6vXXX9cvv/zilzLskydPlmVZGjRokCSZNeSTk5O1detWdezY0eUcbP9q2LChOQ/v3btXffr0UcmSJfXggw/6deb+xYsXTRXZESNGeJ0NLnkPD+TKlUsPP/ywX5anc3L2X7Vu3VrR0dEun33JkiVdqnNs3LhRAwcONNdL53WzfPnyPn3+8NbHfunSJR09etRUALv++uu1atWqDO+VnPeHs2fPVlJSkipWrOjTUIe3dji394477lBYWJiWLFkiyXV/sv//woULuv7665UvXz6fPsc6+0KdS6hIUrVq1dSmTRuvVfNs7teFp59+WomJiSpQoIDfKpvZ3MPKERERGjBggOlH/+yzz1SqVCmFhYWpXLlyLtWB7LZ+//33pjpYoASFgOyK4ECQOnv2rN5++21VqFBBERER6tu3b5YLD8yaNcvl5qtjx47mvX379unDDz9UrVq1dMcdd6hXr17auXOnuZF3L821adMmWZalu+66y/cNcfCWvCtcuLDKli2rYsWKmZvIxx9/3KXk5KlTpzRr1iwzUGpZ6eVFfXWDeezYMX377bf69ttv9eOPP5qbmlmzZum+++4z2xQfH697771XW7ZsMaXijxw5otKlSysiIkKffvqpJP91ftmDOs5OxtmzZys+Pt60oXnz5ho/frzOnz/vssaU3TnmXp7Plx588EEVKFDApSM0OTlZtWrVUlhYmHr16qX9+/frt99+09atW3XdddfJsiyXyiPJycmaPXu2qdCRL18+NWjQwKcd9NmlHZm5ePGi6dgePny4ecB32r17t86fP+/y3v79+9WiRQtZlqV69eopJSXF70En2uHbdvTv399sp32MJCcnq0aNGsqZM6d69Oih3bt3a9myZZo1a5aZLVOnTh2tWLHC5fx64MAB3XfffWrWrJkeeOABn5cydud8kLz55psVERGhxx9/3HTSZfbZLl26VHnz5jXn6kqVKvl1PeczZ85o7dq1mj9/vvLkyWNKgzo7UjZu3GjWb2/evLnXknzOv9OXnP/mnXfeKcuyVKNGDc2YMUNDhw7V7bffbu5JHn300QwHC9944w116tRJH330kU+2e9euXXr11VdVrVo1LViwwOW9t956S+XKlTPrUNtLEGRm69atatu2rXLnzu3X0IAtK52rMpNd2uF04cIFffLJJ7rhhhsUGhp62fBA/vz59eSTT/p8O59//nnNmTPHZaaYlD5ompCQoDp16pjnpT179pj7eLtcfMOGDWVZ6csWeKs84G979+5V6dKlVa1aNZewb2pqqmrWrKnQ0FANHz7cLAvgDHT5w9KlS3X+/HmtW7dOb775pqT0mfr2oEdycrLZxi+++MJreMD53OLLGYlS9rkn+fbbb2VZlm655RaP5cwuXryop59+2lTduOaaazwGENzPQ/Z5yz1cczXPV9u2bdP9999vBqPj4+M9Kv3s2bNHf/31l6T00tENGzZUfHy8ub7Zx/Pdd99t+h4sy3IJPlxt2aUdUvo90JIlS8z2OIM+ly5d0qhRoxQeHq5bb71VR44ckSS1bt3ahAdeffVVl2fX6dOnKy4uTmXLlvXZwOihQ4e0fft2jRs3TkOGDNGQIUP02muvuSwhtmXLFvXo0UMxMTGKiYnRK6+8Yt5zn33cp08fRUVFmWqT/uQ8Po8fP65ChQqpb9++HqGy4cOHKywsTPnz59drr73m8youlzN9+nQTbrCrHRw+fFgTJkwwJc3Dw8PVrVs3jRw5Un369FFSUpIsy1KvXr3Mefj333/X9u3bPcIRV5O3c+KPP/6ookWLqmrVqmZbMuofdL4+b948xcbGKiEhwa/LUjqrJlStWlWWlV5W/ZVXXtHw4cNNv6E96ct26tQprVixwiz1dtddd2ny5Mk+nR2eWR+7JB08eFAdOnRwCQ9k9N2kpaVpyJAhiouLU0JCgk8rWGTWDvueqlOnTrIsS926dXPZZpv9jGEvw7B48WKfbLu3vtDTp0+rUaNGGjZsmIoUKWImHGRWee3AgQNau3atqVx13XXX+e1Z1v04v3TpkgYOHKjo6GgNGDDAHOd79uwx34tdvfDaa691qTxg7287duzweXUXIBgRHAhiycnJevvtt00nat++fU35nUDphMtIamqqSdaWLl3aDJjfc889Lj+XWWeW8wbHnknz0ksvSfJv+8+fP69bbrlFkZGRGj58uE6fPq2zZ89q7969Gjx4sOmoHzZsmMcSBBs2bNCoUaM0c+ZMnyTvVqxYoX79+qlQoUJmu0JCQtS6dWtNnjzZ/NzixYs1aNAgM/MwMTFRTZo00eLFi3Xu3DlNnTpVERERLp1gvrRp0ya99tpruvPOO3Xbbbfptttu08SJE/XVV19J+rvUZvXq1c2s1qpVq2rkyJFmXcXVq1crNjZWjRs39uiM9YVLly6pVKlSiomJMWVOU1NTNWLECFmWpYcfftijjFPlypUVHx/v9b3du3fr008/1bZt20znqi9kl3ZInt+/8/eHDh1S+fLlVaFCBY8/99Zbb6lLly4KCwvTjTfeqEceecR0JknpM9Patm3rs5nUtCNw2mGvDXrXXXeZjsTU1FSTqB88eLBHZ8/mzZt18803m04L+yHU/SE/UAZ/0tLS9Nhjj5nj3b09Z8+e1Zdffqn169d7zIb58ccfNWvWLL3xxhs+62TxNuPwwoULKlGihCwrvZRs8+bNM/zzGzZscAkPrF279qpv8z/xxBNPmI5F98/0P//5j3LlyqWQkBD95z//kfT35+DsyHAGP67mdXHOnDmqVq2aLMtSVFSUbr31Vh07dszl33zvvffMrOk2bdrop59+uuzfu23bNjNA4QvZ4Vzlvt3uv89K7fgnrjQ88Pzzz5sBSF8uJ2Y/O1WrVk1vvfWWy3G6f/9+Va9e3cy8OnTokAYNGuTRqbp582YT0ipXrpw++eQTny4Zkdl+Jf29/vdjjz1mXktNTTXXwREjRphgREpKilasWOG3SlQDBw5U6dKlXV5LTk5W2bJlVbNmTTNYeunSJXON/uqrr7yGB6T0c2BCQoLmzJnji83PNvcku3bt0tNPP63Y2FjddtttXgcFL168qIkTJ5qw+7Bhw7wun2RzVkzxRSD+q6++UvHixc33sWTJEu3Zs8d8jt6uvfb6znYZ/wsXLpifu/3229W9e3ctXLhQL7zwwlXf/uzWDunv46N8+fLq3r2712Xy1q9fr9KlS8uyLD399NPmdXt5pFy5cql48eK65557TPW8hIQEnw3+bNiwQU2bNvWoOGVfv3r27GmOl23btumBBx5QeHi4qlSpYoJQTvaSooULF/bLNfz777/3qPBz8uRJjR49Wtu2bVPx4sXNs4Wz6qGUXukhNDTUhAfcqyT5ivMYsP//+PHjZv+Ij49X165dzbKN4eHhqlatmktls5MnT2ru3LmKiYlR9erVfd5HIqUPQNvHhPs5cu7cueYaIv2zZakWLFhwRff2V4N7hQ07eDl69GiXkMqff/6padOmmWNpzJgxGf49vpRRH3unTp1cfu7AgQOZhgeSk5P10UcfmX2wVq1aPr3PutJ2rFy50lQSmj9/vsufd7anZs2aKl26tE+WKvDWF5qWlqYXXnhBlmWpVKlSioqKMuH4jI6No0eP6sEHH5RlWYqJidHdd9/t0yUDbRkd5zt27FCRIkVUt25dcw3Zs2ePqfDSs2dPHTt2zFSoue6661wqcvm7UjEQTAgOBCn74ev8+fN6//33ValSJbOekt05GujhgZMnT6pMmTIqV66cXnjhBdOJZa87KLnOInEvx2l78cUXFRERoZo1a2baAeArs2fPlmVZ6tKli5mt4Nz2yZMnKywsTKGhoXr77bfN+76+eM6dO9fMGqlYsaJuvvlmU2LSns132223ucwW2bNnjwYNGmSqKdidRu3atTOpZ3uw3leee+45Ux7U/Ze9JrU9U/Svv/7S8uXL1bBhQ7NmZUxMjEaNGqXp06ebErpz5871aRvs/blNmzayLNcyp3Xr1lXJkiVdlre4ePGiSweqfTPny3S5N9mlHbaLFy/qjz/+0IkTJ0ygwV7Xdc2aNbKs9CU6bKdOnVKnTp0UERGhnDlzKi4uTnnz5lVERITGjh3rcpz7spOedgRGO+wOyPbt23s8fNerV0+FChUyx4B76eLNmzebyil2aVcpcK/zDRo00DXXXOMSBEpLS9P06dPVtGlTc35u2bKl1/KCvuQ+W9Xeju7du8uy0svjFitWzGMWqPOzt8MDoaGhql27tjZs2HD1N/wKnDlzRjVr1lRSUpLpLLl06ZLL/v7ss8+aa6b7cgu+3L+GDRumiIgIxcXFadq0adq9e3eGA0/vvfeeSpUqJcuyXCpuufPX8ZHVz1XZrR3z58/XunXrXP7dzM43Fy5c0Mcff+wSHnDvrDt58qRmzJjh8/WDly5dqkqVKsmy0pd7WLBggctnefToUXMdWbVqlfLly6c2bdqY9y9cuKDff/9d8fHxuuGGG0wIwZezLzPar2xLliyRZVkaNmyYpPRwgLfQgJTeuV24cGGNHj3aZ9tvs6sH1K9fX9Lfz+Y//PCDmdneqlUrl/CAvd85wwMPPfSQDhw4oClTpqh48eIKCwu76svUSdnnnsReAuKZZ57R6tWrzf6xcOFCj4oHFy9e1DPPPKOkpCTlzZtXzz77rF9ntdq++uorRUREqESJEqZ8vc15rnIf6LSv388884zL6/YSfBMmTMjw77oasks7pPTglb0cVWxsrGJiYlSyZEm9+eabHpUCZsyYYe5rP/vsM/P6sGHDTN+KHRi40sDj/8Ly5ctNX0+HDh00depUzZgxQ4MHD9a1115rlsls0qSJWVJk+/bt6tq1q8LDw1W6dGkNHz5chw4d0tmzZ7V48WIzc9eerONLvXv3VqVKlbRp0yZJf4dZ69SpYwZAExMTPa7XGYUH5s+f77Vaki8cPHhQ586dM9fec+fO6cMPP1SNGjVc+rIqVaqk0aNHm3OZsy3fffedcuXKpaioKO3cudOnz1GffPKJ2rZtm2HpejsMNGLECEnerw32NXPZsmV+L1Xubfv27Nmja665RtWrVzffk/OZMTU11Rz7SUlJLlXnnN+Fr6+LGfWx/5PwQEpKihYuXKg77rhDo0eP9smA+79px759+9SjRw+Fhobqpptu8qhUJ/1dzeOuu+666suQuPeFOqv1HTx4UMOHDzfHtrNShbdj9/z583r55ZfVt29fffDBB34JB2V2nK9evVq1a9c2lWsOHDigAQMGeISV7coR4eHhqlixot577z2ftgEAwYGgZN9kJScna82aNRo9erRJciUlJalPnz4BX3nAvqhOmTJFlpW+xtu6deuUO3dujxuCzDoXp0yZooSEBMXHx/t93XNbjx49FBISopUrV0qS105S+6ahVKlSPp0FZ5szZ44sy1KVKlU0f/58Xbx4UefOnVNqaqo++ugjPfzww2Ydr0aNGrl0YKWkpOjs2bOaOHGiKXdq/woNDTUz+H3BruBQtGhRvfDCC1qyZIm++OILTZw4UXXq1DHp1MaNG7uk4k+ePKnVq1erZ8+epgJB7ty5TeWFjh07+ny9Wik9BGFZlqZNmyZJ+vnnn02Aw3bp0iXVrFnTawfqe++95/PZGN5kh3bMmzdPbdu2Vc6cOVW2bFndeuutJjUspQ+QVKlSRUlJSRo7dqzGjBljynHVq1dP27Zt0+7duzV58mSFhoaqRYsWtCOI22Gfqzp16uSy3m9aWpr++OMPRUREqEKFCjp//rzHYKl9HV+wYIEsy1LLli09yoYGksOHDytfvnwqVaqU/vzzT509e1YHDhwwpVsLFCigRo0aqVy5cgoNDVWnTp380h77WnHrrbeqS5cumjRpkscAtF3COTIy0utars5t3rhxo2rXrq28efP6vQPMtn37dllWeklpybUctrOTokePHrKs9KoE/ggyDhs2zOzb69evd3nPeTw4Z3a///77KlmypCzLUr9+/fzSqeVNVj9XZbd2PPTQQ7Ks9PWn7cGqM2fO6MEHH9SXX37pteKIlN45/MEHH+jaa69VTEyMHnjgAZf2e/szvvLVV1/p+uuv9xoecG5T27ZtZVmWli1bJunvDu+UlBSVKlVKkyZNUv/+/X265mtm+5V9rK9cuVKWZaly5cr6+eefzaDQ448/7tHp269fP1mWpYULF/qsDbZvvvlGluVZLS8tLU0bN25UrVq1LhsesJ9B7A7xpKQkl3uEqyW73JMsW7ZM4eHhKlq0qD744APzuj1TsVOnTh4VQy5evKhnn31WCQkJypcvn9/DA1u2bFGhQoVUokQJvfPOO+Z1O6Rl++677zRjxgyX49XukL/hhhvMoNWXX36pxo0bK1++fFq+fDnt+C/Mnj1bBQoUUJUqVTRgwADdcMMNCgsLU/PmzT22yS7N3KVLF5dgwcmTJ7Vu3TqtWLFCf/75p8/C8evXr1eePHl07bXXep0QsXXrVj333HNmScCGDRuaktGbN2/W/fffb/pR4uLilJiYqKioKF1zzTXm+V7y3XXQHpC67bbbPKqVbdq0ySyLERcXpxUrVkhy7XtzDw/YbXvrrbd8sv22t956S507d1a+fPlUoUIFNW/e3FwDz549q127dumRRx7RoEGDNHr0aO3fv9/cu9uftX1O3rdvn/Lly6dGjRr5tA0TJ05U/vz5FRoaqjvvvFNLly71+JnXX3/dzDL2VkHO+ZxRsWJF3XTTTX6pALFq1SpNmzZNPXr00PDhw7V582YTaPzkk09MuE/y3id96NAh83z78ssv+3TbvfknfeySa3igcuXKWrVqldm/UlJSdOTIEb/0iV6uHc6JhqtXr1azZs0UGhqqYsWKqW/fvtq4caN27Nihxx9/XAkJCUpISPBpFQv3vlDboUOHNGrUKNN37lxyz1vYxHnP6GtXcpx/++235pr2+eefK2/evGrbtq3Lzxw8eFCFCxc2Ew+dy5cA8A2CA0HGvojaa+TkzZtX+fPnV506dUznQ65cuVxmYAXq4IKUfqOfM2dOlSpVSnv37tWiRYuUK1cujxsbZ6fFsWPH9Ouvv6p9+/bKmTOnSpcuHRDr1tpatGihqKgorV69WpL3SgknTpxQxYoVlZiY6PM1qVeuXKnY2FhVrlw5w+oAx44d04IFC8x30bRpU3MT7SzTdfjwYX388ceqW7euChUqpPfff98XTZAkPfPMM7IsS23bttXWrVs93t+9e7emT59u2tC4cWOvazivXr1aEydONDNnLMvyeQjF3kcWLlwoy7LM7LA9e/YoJCREVapUMT+b0WC7JN10002qX7++R7l/X8ku7bDLrFuWpejoaPOQUqJECbMPnTt3Ti+++KKuueYa87M33HCDJk+e7JII3rFjh8LCwtSqVSvaEaTtGDJkiCwrvfTkjz/+KOnv82haWpr279+vvHnzKiQkJNOZ6hs2bFBoaKhKliypEydO+O1B8uOPP77sNfeBBx5QSEiI2rZtq7Zt26po0aIKDQ1V69at9euvvyotLU3Lli1Trly5lDt3bv35558+vVcZO3as2Y/sXyEhIapXr55HB5fdWRkdHe2yPp/Nud2bN28OmNCAlH4dDA8PV4UKFbwOLNr3Vh988IEsy/LL4K49W6dly5Yus7fdAwxvvPGGxo4dq82bN5vX3n//fbOkRL9+/fxedSqrn6uyWzvsGdVt2rQx93VpaWkmENS8eXOtWbMmw/DA6dOnzfFfsGBB9ejRw+f37E7O7Vu+fLkqV67sNTxgHzeNGjVSTEyMR1WEsWPHKmfOnD4vBXwl+5XNrkwTFxenkJAQjR071mO21YwZMxQXF6cWLVq4LIXhK19++aUsy9J9990nybP89IYNG8y9bkbhgfXr1+uOO+7QLbfcok6dOvlkrdfsck+ybNkyhYSEqGzZsi4VziTps88+U4UKFWRZljp37nxF4YHDhw/7cvMlpfcH3HPPPWZgxOb+Wf7www9q06aNIiMj1blzZxOGP336tFn7OH/+/GrcuLGpGjh16lTa8S85j+U77rhD0dHRmjZtmrZv326CliEhIaY8vpQ+aBIfH6+CBQuasJa/7tMPHjyoZs2aKWfOnJo3b555PSUlxWXwMyUlRe+//77pK3EG/Lds2aIePXooV65cKliwoHr27KnVq1e7XAN91T77Wt6hQwePPhq7PVu2bDHXlNatW5v3nX2IzrYPGDBABQsW9Gmfj3O2cXx8vOl7Kl++/BUvz+b8zO17mXHjxnkEdK6WRx99VCEhIapevbpLdQ13p06dUo0aNRQeHq4xY8aY4G9aWprL9zB+/HiFh4dr0KBBPh+gnjBhguLi4lyeBStXrqyRI0fq7NmzWr58uSzLUu3atTO9x3jqqadkWZYefPDBgOl3v9I+dsmz8sDq1atd+nv9KbN2OEObq1at0n333WeCULlz5zbXkHLlyvlsrCCjvlDneejQoUMaOXKkLCu9Cs0bb7xh3guU8v2XO8697edNmzZVRESE1qxZI+nv+8oDBw4od+7cmj17toYMGeKTcCwAVwQHgtC5c+dUu3Ztsz6fnc78448/NGLECBUvXlyRkZHq27dvQFUeyGgbhg8frtDQUNMh/9FHH3m9sUlLS9OhQ4fUoUMHRUZGKiIiwqOUfiCwZ/j07NnTa0d9amqqLly4YDqTPv/8c59sV1pami5cuGDWSnKuA5XRd/P++++bG7BevXqZ191vag4ePGjS9Vd7DWQpvbOqaNGiKlOmjEslAfeHkbS0NH3wwQdmf7rrrrvMe+4zaHbu3Knp06f7pNNO8n5j+Oeff6pAgQKqXbu2ea1hw4ZKSEjQ0qVLXUq1Okv+S38fR88//7xPj/fs0g6b3TnRsGFDrVy5Ur/99pvmz59v1t2+//77zay9M2fOaOPGjZoyZYpmz56tEydOeKTR7XViZ8yYIcl352LaERjtsLc/IiLCDFTZx4zzHNS5c2dZluVSMchmt+HkyZPKkyePmjdvflW3OTP2INrDDz+c6aDT8uXL1aJFCzOjp2HDhpo7d67H+rDXXHON6tate7U324U907JChQp66aWX9M4776hfv36m9H3Xrl115swZl33HXic8JibmsuEBX7rcv3vmzBkzK3/atGkeawzb++KuXbvM/ulLu3btUuXKlZUvXz6PSgPOa8s777xjyrN36dLFJSzorDzwyCOP+KWKk5T1z1XZtR3t27c3a7fb7MFay0ov0ewtPGD/d8OGDYqKijIBlYceesina7e7c35+n3/+uVluoEaNGnrjjTfM53/27Fndeeedsqz0mfrnz59Xamqqnn/+eXPe9eVg+5XsVykpKea4X7x4salgceONN3p0+j777LOKj49X8eLF/bYW8ttvv+0SHPA2M/9KwgOnTp1SWlqaT0pmZ5d7Ejs0UKZMGZdKA87Bs+XLl6tixYpXFB4oWLCgJk6cqIMHD/qyGfrxxx8VHx/vEqxyf67asWOH7rrrLpfvrWvXrmbA+ttvvzXfV4ECBVS1alWXwWJfDERkl3Z4m+yxd+9eFStWTDfffLMJus+bN08NGjRQSEiIrr/+er344ouS0kvpW1b6EpB20MmXA0H29q9Zs0a5cuVymZWb2bV3wYIFptLkE088YV7funWrHnjgAYWGhqpOnTouA0i+ug5mtqSKe1XPrVu3Kk+ePB6Dis5tdX4fvqw0YlfWatCggVauXKmjR49q06ZNqlevnrlHlzKvtOp8b8aMGYqOjlaVKlWuOHTw3/rPf/5jBkPdl9Nxfq4XL17UxYsX9cILLyh//vwqVKiQxo8f73F/PmPGDCUmJqpSpUoeVSSuNvt5tlChQurbt6/69+9vqlYUKlRIEydO1LZt21SsWDFdc801JkTn/A7se2F7eaVBgwb5tA22/7aPXXINDxQtWtRl2QVf+TftcB7nv//+u5YuXaoWLVqofv36atWqlSZOnOixtMz/2pX2hTodPnzYBImSkpJc+uX9HR640uPceSycPHlSFStWVP78+T3CyqNHj1b+/Pl91scOwBPBgSBiX0zt2VmdOnUy6y3ZCc0TJ05ozpw5KlGihGJiYtS3b19zk+avju3ly5d73Aw6Sxp+8cUXCg8P10033WTWol+0aJHXkkp//PGHxo0bp2bNmum1117zywyTy1myZIny58+v6667Tp9++qlLJ6TzYnvjjTeqTJkyOnDggM+27ejRoypWrJjKlStnXstsv7h48aImT56syMhIJSUleXTs+4t9DDjLO2Vm3rx55oHYfrh3ymi2mS84Z4gdOHBAxYoVU2RkpPbs2aOLFy9qxIgRJjkbGhqqUaNGeQy2z549W4mJiapTp47fyjVnh3Y4OyecN73nzp3TwoULFRUVpZtuuinTSgjOzgm7PTfeeKNP20M7/ubPdtjb37ZtWz333HNKTEyUZVm65ZZbzM/Y1+6FCxcqMTFRcXFxeu6558x1wbn948ePl2VZGjlypM9mljjZawRalqU8efKoX79+mQ7Y/Pbbb9qwYYM+/vhjrx1hdnuGDx/us/a89NJLsixLt99+u0vi/cSJE3r++eeVK1cuVapUyevnf7nwgC85S/ZnxP7Mx40bp/DwcNWpU0fLli0zn7NzZo9dCvI///mPJN91WtgzMp566qkMf+a9995T6dKlFRERoQIFCpiBOueySO+//77KlCkjy7I0dOjQTDter4asfq6yZcd2OAcaUlNTzb797bffqmXLliY8sHr1apd7QXsfstdynzRpkurXr+/RIeYPaWlp5nNet26d8uXLZ8IDzsoDn3/+uTln33TTTaZCQeHChX3ajn+zXx07dkxTp041oaDatWtr+vTpevrpp82644UKFfJLxTl7P3nnnXdkWZYeffRRSd7Pm5cLDzj/vqstu9yTLF++XKGhoSpbtqzL+sF234Lze9i+fftlKw9MmjTJHEP2Wr1Xm/1Z2c9GY8eOleQ5aPjzzz+b6hsjRozQ4sWLTYipS5cuLsfTqlWrtGvXLpc+l6t9Lc8u7cjs37hw4YImTJggy7LUt29f87pd2dBeZuTuu+/W4sWLVaRIEVmWpcGDB7ush+4L9vfx8MMPy7Iss+zf5e6Jjh8/rkceeUTh4eFq1aqVy/3h9u3b1bVrV4WFhalmzZr65JNPPP69qyWz0EBGbfruu+/+UXjAF1544QWFh4erRYsWHtes559/3iOwIXkvW26bOHGiOT/bVWOutmXLlil//vwqUaKEy/13ZsubHT9+XI8++qhy586t6OhoVa9eXdOmTdOUKVN05513Kjw8XPHx8T6/r7L3qzvvvNNlAtK2bdtMOfWaNWvql19+Ubt27UyA0fns5dz/+vbtK8uy9O677/q0Hf/LPnYpfSJY8+bNlTNnTp9OzPtv2+FtuSh/yKgv9JdffvG6TYcPHzaBoqSkpICoPPBvjnPbLbfcIsuyNHr0aBPKevHFF1WkSBHVq1fPY/IIAN8hOJBNLVy4MMPygPbNjl0Gxj3xe/LkSfMwn5iY6DJbwNcX0oEDB5rk4qxZszJ8ILdn/ixZssS8ltGNzfHjx3Xu3DmftiWz78Pdb7/9pjZt2siy0svjL1myxOM7mjZtmizLUseOHX1ajn3Tpk0KCwtT/fr1JV3ZTcl3331nZv34e+0ue4ZO7dq1ZVmWli9ffkUVDvbv36/OnTsrJCRE3bp189HWejdx4kQNGDBAb775prZt22aOTXsfsdO+9tqJJ0+eVI0aNcxN5Zdffuny940aNUqxsbFKTEz0mFVHO66cPQu5Q4cOLoOh9jHy448/Km/evOrRo4f++OMP/fnnn9q/f3+GMy5Gjx6thIQExcfH+7QMIu0IjHbY17727dtr9+7dkqT58+ebspS33nqry88nJydrwIABCg0NVVxcnAYOHOjywPb8888rKSlJJUuW9PmsDCl9SZeyZcuaQdsSJUooOjraa3ggo/Ox87uZNWuWChUqpIoVK/qsPT/++KOqVq2qggULatOmTWZb7X3q999/V6FChTw6fzKqPODsPPWll156Se3bt7/iAY7vvvvOzGhq2LChx3quH330kcqVK6fExESXDrSryR5ksgdu7cEf931n2bJliouLU0REhDZu3KjPP/9cxYoVMzMVnZ/BwoULVaVKFZ+XQMzq5ypbdm+H5HosHz9+XL///rtatWrlEh5wvy9++OGHVbp0aZ04ccKEtX0hs+cOZzvuv/9+WZZlZspVr15db7zxhvlePvroI5UqVUphYWGKj49XkyZNzDXJF/7NfmUH3i9cuKC3337b3PPbv+Lj49WhQwefzl7y9n3YwSf3AR933sID9gC2r55ls8s9yYoVK8yM9UmTJpnXL1686PJZvvHGG6pZs6aOHDmiNWvWmIo1GYUHxo8fr1mzZvmsHTa7T2fhwoVe39+yZYtKlSqlPn36mNfmz59vBt07deqU4QCPL/tJsno7unbtqho1amjx4sVmUorzWvDLL7+oQoUKioqK8lgWY+fOnWrfvr0iIyNVqFAhJSQkKDw8XOXKlTP3mr7Ws2dPhYSE6J133rniP2Ov525Zlse9oDM8ULduXZ8MkF7ptbxly5Zq3769pL+/sysJD/jK119/rZIlS+raa6/Vxo0bJbmG/+zryPz58/Xrr79qy5YtXpfd2rdvn9atW6fWrVvLstKrpvkyODdx4kSFhITopZdeMq+5H5tLlizRlClTdNddd+m5557Tpk2bdOnSJU2aNMkEF+1fuXLl0i233OLzPh9v+5UzLLphwwZTLe+9997ToUOHXKoffffddy4TX2bNmqW8efPqhhtu8GlA9mr0sUvpVTh8VcFC+t+1w1ldxRl8uprXjyvtC12xYkWGf4czPFC0aFG98sorV217r8Q/Oc7btWunyZMn64svvpAkffjhhypUqJCioqJUoUIFU2E2ISHBZwEnAN4RHMiG7LUH3cux2hch+4Zx+vTpkrxfEPfv329mZuXPn1/33XefT2e2S3+v4xUSEmIu6klJSRo4cKB++OEHs8SClJ4uj4yMdLnoS643BF26dPHp9tsy+j4ys2bNGt14442yrPS1ogYMGKDvv/9eu3bt0ujRoxUfH6/ExESflte015S2LEulS5fWyZMnr/hmyl6X1E7a+7uEkr1m2j+ZGfL666/LstLXS73aJasyMnHiRJeHJsuyFBsbq1atWqlr16568803Vb16dVnW32V9JenIkSOmnGvRokXVvHlzderUybxWunRpnz88Zod22OxzVfHixV1Knqampprz7vbt21WmTBmVLVtWBQsWVFRUlPLkyaOHH35Ya9eulZRetnnRokXm2K9atapPU/S0IzDa0a1bNxMMcz4onTlzRm+88YYSEhK8dtSfPn1a/fv3V8GCBWVZlsLDw1WvXj3T4Z2UlOSXdeFOnTqlhx56yMwUsyvRXHPNNYqKirps5QGnCxcuaNCgQYqLi1NCQoJP9yu7YsLMmTM93rOvaffee68sy9KCBQtc3vcWHnDvwPCFQ4cOmX/7gQcecBnIyczKlStNcCtPnjxq1KiRHn/8cT3wwAOmCow/ghD169dXaGio12t5WlqaVq5cqSpVqriUx12wYIEZbLj//vtdSp/6MogpZf1zVTC1w3kMd+rUSTVq1NDJkye1detW3XbbbbIsS/Xr19c777xjfvaFF15QXFyc2rRp49OZo5k9dzjbYa8p3rdvX7311ltm2YLq1atr/vz55rv7/ffftW3bNv31118+PUb+m/3qoYce0ubNmyWlnwveffddvfHGG5o1a5Z++uknn7Yjo+/DDoGPHz/etCsj7uGBunXr+mzAPTvdk6xfv97lGrh9+3bznv35L1iwwBwH9sDtV199lWl4wH1JQV+xvxu7aoX7LOrz5897DV69+eab5nt55513/L4kZVZux/fff2/2qWLFiumee+7xul/b5cjvvvtuM3PSPo8dPXpUH3zwgRo0aGD+rpCQEL/1N3Tt2lWWZWnAgAEeyzhmpn79+rIsS19//bUk1+Ni+/bt5nu+9dZbr+o5+Eqv5fbSFu3atTOzwe33neEBf/UhXrp0Sc8884wsy9Lbb7/t8rqUXh6+Tp065jN1huNmz55tZu2eOHFCPXv2lGWlV27s2LGjqVzjCykpKWrSpIksy9LSpUslySytc/HiRf3111/q0aOHqe5p7/9JSUkmvHLkyBFNnjxZTz31lEaNGmWWa/ClzPYrJ7utc+bMkZS+79vh+eLFi6tFixYaN26c2rZtq6ioKBUsWNAv97r/qz52e7klX8vK7fg3faEpKSle/67Dhw+bqj3lypXzqMjqK//mOA8NDVWhQoVMv8nMmTNNv26RIkXUrFkzn4aVAXhHcCAb+vrrr83J2L0cq/T3heqhhx4yrzlv7O2U3R133KEmTZqocOHCiouL85pevZpWr16t8PBwhYSEqFmzZho5cqSKFi0qy7JUsGBBtW7dWuvXr9exY8d09uxZValSxeVCZbdp0aJFio2NlWVZ6tWrl0/bIF3++8jI6tWr1bJlS/PQEhsbay601157rV8GgH799VclJiaqWLFiJtl/JWupvfzyy7IsS/369fPJdl6O/XBlh2cyS5Db+9Hhw4dVqlQpxcfH++1B/vfff9eaNWs0bdo09ezZU40aNVJMTIxZ6zEkJEQhISGyrPSZoU4nTpxQ3759TcewZaWnzR9++GGPDjDa8c+sXr1aoaGhsixLPXr0MJ3VTva6nHFxcWrdurUZhIuMjNQdd9yhnTt36vTp0xo5cqSqVq2qAQMG+Hw/ox2B0Y4vvvhCTZs2NZ2kzutzcnJyph31ycnJmjdvnimNaFmWypQpo3vvvdenZQOdTp8+rTvvvFM1a9Y0lY5SU1P/UXjg3Llzmj9/vrnO165d2+ezTF566SUVK1bMLLnjrYO6f//+sizLa+LfeZ3p1auXLMvyS4J+3bp15lx7uXsSZxs3bNig3r17m6oKlpVeOeGGG24wswV83Wlvlxy3Z3q6X8vPnz9vylI6O1zeeustxcTEKCwsTOvWrfNbmDGrn6uCsR12OKhHjx6mU37z5s1q06aNIiIilCdPHtWuXdsMAMXHx/v8XHUlzx12O7p166a9e/dKSr/22LP67PCAr5ftcPpv96vbb7/dZWDYX9y/D7sddolpe21qSR5V0NzXff72229VsWJFhYWFme/tastu9yQbN24029KlSxeX4Nkbb7why0qfGbps2TKXP+cMD3Tt2tWnA2/u7O/AXku4cePG5r2MrmfOwI0k1alTR4mJiX57ppWyTzt27dqle+65R9dcc40sKz1g+corr7gMeFy4cEG9e/eWZVmmcpN7+ea0tDT1799fNWrU8OsyKnblUecz+OXuk1JSUkx1qozWN9+6dav69Olz1dv2T67lPXv29DiXOsMD9kSqHj16XNVtzsjvv//uMonC/h6OHDliZltXrFhR/fr107Rp03T33XebfdCu9HnmzBl98MEH6tOnjz7++GMdP37cp224ePGiqRDmXK7j+PHjmjNnjgmchIWFqXr16mrSpIkZaI+NjXUJ//pTZvuV/b2cPn1alSpVUmhoqMsSrfv371fTpk3NtdKyLEVFRalRo0Y+rapltyM79LFn5Xb8277QjPqsDx48qLFjx/rlumH7b4/z1atXS0qvMrto0SL9/PPP5hkegH8RHMimnA/F7p1GS5cuNe+9/vrr5nX3RHHZsmXVtWtXffzxxz4t5+i0YcMGc4M2adIkrV27VgsWLFCtWrXMDVfjxo315ZdfatasWbKsv0s+Ojs23n//fRUpUuSKB+3/1zL7Ptw5t3vXrl1699131aBBA9WsWVO33HKLxo0b57POIneHDh1S6dKlTaeJLaOHSfvmZsaMGbIsS8OGDfPJdmbE/mztJH3Lli3Ne5d7IN63b58KFy6sggUL+rWzyN0ff/yhHTt2aNq0aXrsscfUsGFDxcXFybLS1x117k8XL17UuXPntHXrVm3fvl0pKSkZpld9Lau3w/0Yt8sJSn/P6mvXrp1LR6ld7i4iIkLz5s2TlD7r5OeffzYJXV+jHYHRjsxKWl+uo962e/du7dixQ6dPn/bb92Dbu3evGVy2XUl4wHncv/vuu2rdurUmTJjg03KOtjNnzphZVO7sa51dXWfq1KnmvYyuLQcPHvzfb+QV2rBhw7+6Jzl79qx+//13vfLKK5oxY4a++eYbl5LZvgoO2P/OAw88IMuydNttt5n3MruW27O+L1y4oLi4OLVo0eLqbugVyOrnKlswtaNHjx4e9+Hff/+9Ro4cadanzpcvn2rWrOm38ppX0o7u3bubdtjH1PLly014oGbNmnr11Vf9WiXsv92v7Odcf1c6c7ajc+fO2rFjhyZNmiTLsjRlyhSlpaUpOTlZp06d0smTJ3X27FmdPn1ax44d06lTp3T69GmdPXtWO3fu1Pr1632+5FB2uydxvwbu27fPVBq48cYbXe5XnH0jX331lQkut23bVqdOnfLH5htbt241kwqGDx9uXve2vzuvz3Z588GDB1/R2sNXW3Zox7Fjx/Txxx+b5WsiIiLUpEkTvfrqq+ZnVq5cqdjYWCUlJXnMMHZuu7/Xct66datiYmI8+m4y+z7S0tJUtWpVFShQINMqpb6qvvNvr4H2f+22bty4UUWLFvUaPvAVbxU4xo4da8I2+/fvd/lu7JnYSUlJJlDjXPPdHxYsWKCYmBiFhITo/vvv12uvvaZGjRqZAdvixYtryZIlJpD51VdfmaVb7XOCP4OMtsv16c6fP98EUuylce1nxOTkZG3evFnz58/XnDlztGnTJr8NjGaXPvbs0g7pyvtCMwoP+Ps6Lv13x/ljjz3m560HkBGCA9mY+0Ox84Z39OjRsqz08jDz58/3+LPTpk1T7ty5/9HaZleLsx2jR49WcnKyLl26pLfffltdunQx75UsWVKWlT4DztsshjNnzvhh6//2TzrqJdeb43379vllXTVvXnnlFUVHRys6OjrTwRHnzVjXrl0VExPj8tDmT2vWrDHrj40dO9a87u2Gy35t7969yp8/v5o0aeKz7cyI+0Ot04kTJ/T22297XXfU2+C6Px8is0s7bM5jvFu3bvrpp5/MjIbu3bubjl7n2ml2iePOnTsHxAOxRDsCrR3eZNZRb7cnEI4Jb5ydu5mFB9xnWkrplV98WfI7I+7nLPv3Tz75pCzr7xmkzn3ok08+8euMOHf/5J7Eef+xYsUKbdu2zQdbeHmrV6821/Jx48aZ1zO7lksyS2e89tprkvx/rGSXc1UwtKNbt27mOHYPy6SkpOiPP/7QBx98oE2bNunw4cP+aoKky7fDOWDiPD6WL19uSoU2btzYb2VPbf/NftWlSxe/H982Zzu6du2q22+/XZaVXkWuSpUquuGGG3T99dercuXKqlKliipXrqzrrrtOFStWVOXKlZUvXz7VqVPHdLgGkqx4T+L8PuyZ0tWrV9dXX31lfsZ9MFGSvvzySxUtWlTPPvusrzfZQ2pqqgYNGqSIiAgVLVrUZSkl5/nUuf1ff/21brjhBpUsWTLDMKSvZZd22J544gldd911Zv/q3bu3mQlql55/9NFHPcr1B8LAj+T6fRQpUuSKvo/33nvPBOvc3/OXf3INlFw//61bt+rIkSOSXK8tgeD06dN66qmn1L59e/Oac4BaklnWZuXKlf7YRA9Hjx5V9+7dTUAoLCxMlmWpRIkS6t27t5l172yDXZXnlltu8Xvwwcm5Xzmr1tjLkVSrVk2rVq1y+TOBcmw7Zcc+9qzWjn/bFxoo4wLustNxDuBvBAeyOfeOYXutvlOnTunBBx807w0dOlRvvvmm9uzZo8cff1wJCQm69tpr/Taz3Z2zHUOGDHF50Prss880ePBgk8hr0aJFQN6cSVfeUe++HnL9+vVNuU1/X0wPHjyopk2bKiQkRGXLlvX6MOnc/oULFyosLEz16tVzWUvYn86dO6fu3bsrLCxMJUuW1EsvvWTec267cz+yS1BPmTJFkv+/B3fObT179myGHXj+npl/OVm9Hc5jvFSpUqYTxd737f3Gnm1lzxjo37+/vzbZK9rR31+bfMUy66gP1AdKp8zCA85ZuoMGDVLr1q39Pnh1JZ599llZlmXKg9rmzp2r2NhY1a9fP6C+myu5J3Gek2fPni3LstSoUSO/z7SUrvxa7vz/mTNnqkCBAmrWrFlADcBll3NVdm+HXe3E2z1goN0XSv+sHc7//+yzz1SnTh2/lj11yo77VWxsrClFGx4eLsuyzO8jIiLMaxEREYqMjFSuXLm0detWfzchQ1nxnmTDhg2mYzsuLi7DAVLJ9fj4888/vb7uD7/99ptZC7ls2bJ6/vnnzXvu/SGrV69Wo0aNZFnel1Typ+zQDue+sGbNGrPutGVZqly5ssaMGaODBw+qTZs2SkpKMvdcgXh8/Pbbb7rxxhvN9+GcLOIemvvmm2900003KVeuXKYMeKC40mugcx97+eWXVb16dT311FMBO5DlXG7Auf/Y4Wp7Ka9PPvnE15uWoYMHD2rSpEkqVqyYatWqpY4dO2rjxo2mLfbnbLfh008/NSGPQOPcr/r06aOpU6fKstKXzwykz/xysmMfe1Zuh3TlfaGBeN2QstdxDiAdwYEg4N4xbHc6HD9+XI8//rh5z7IsU+qnSJEiAdNZZHO2Y9iwYR5lfn/77Te98MILXgevA8nlOuqd2z1mzBjzs74uS5mZnTt3qnz58rIsS0WLFjUlxNwfrBYuXKiKFSsqJiYmYBLPtp9//tmsdVWmTBmPmSPOm7ZZs2YpNjZWVatWDZjww+W4d+A1b948IB98LycrtmPDhg2mw7dMmTJasmSJec99Zl+bNm0UFRWlDz74wLwfKGhHYLXDm6x4fDhlFB4YOHCgfvnlFzOD37KsgJqt785ux8SJE10CZpL06quvKikpSfnz5w+YmfpOmd2TODslZs+erdy5c8uyLL3//vt+2FLv3K/lkyZNyvBnp02bpsTERBUqVMhl7eFAkV3OVcHSjqzin7TDfWmSQJJd9qv169ebdWyrVaum2bNna+vWrfr++++1ZcsWbdu2TTt27NCOHTv0ww8/aOfOnfrpp5/8XsHiSmTFe5J169aZ76Nbt2767rvvMvzZzI4Xf9qxY4eZ4Z47d25169ZNf/75pzmGz5w5o1dffdXMuHReJwOlDVL2aIf7dixbtky1atUy90+VKlVS9+7dZVlWQFQxzMyOHTtMf09MTIzuv/9+/frrry7B0ffee88EPuxqW4Hmn1w75s6dq6SkJEVGRvp87fl/w7m/OZ+pypcvr4oVK7oEDALFmTNnMhy4db7esWNHhYaGauHChZIC5xi3OZ+fQkJCVKpUKS1atMi8H2jbm5Hs2MeeldvhLiveV0nZ5zgHQHAgaLiXVHLOWPjwww81ePBg1a1bV3fddZdGjhxp1qwNNM52DB8+3MwWc7/ABPqNwJXM8rOXkyhYsGDAhTik9IfJatWqmc6WRo0aafDgwfrwww/10ksvqUePHoqJiVHOnDlN8jbQbgR++OEHVahQwczwufvuu/XNN9/o0KFDOnPmjA4fPqxBgwYpf/78iouL89tatf+WfaNZuHBhWZalNm3a+HuT/pWs2I5169aZTooePXqYMnZOdmmuOnXq+HW988zQjsCXFY8PJ2dH13PPPaciRYooOjralNkM1Gugk33P8fTTT8uyLDNrcc6cOUpKSlK+fPlM1aBA5O2exHm9nj17tik7+Omnn0oKrOv5jh07VLFiRYWEhCgkJET33HOPvv32Wx09elQnT57Url271KVLF0VERCgpKUnff/+9vzc5Q9nlXBVM7cgK/kk7AunYdpdd9qv169ebme69evUK6OvDP5UV70nc+0n8uc7xv7Vz507deuut5lpdunRpVahQQY0aNVKJEiVMVQVnRaRAnHWZXdrh9Msvv2jmzJmqWLGiSxURy7I0efJkf29epty/j5IlS6ps2bJq0qSJKleuLMuylCtXLr3wwgvmzwTi93El1w476Bvo9+zeOD9zuw+xT58+pgpPoHJut7P/dsqUKbIsSw0bNgyo6mDuNmzYYJZMa9y4cZbrK7Rlxz72rNwOd1nxvsopqx/nQLAjOBBEMlq2wGaf0AO5w0jyvCGw1x+TAn/bnTL7PkaNGiXLspQ/f/6AHjD59ddf9cgjj5iHSTtxa1mWoqKiVL9+fa1YsUKSZ1m7QLFr1y7dfvvtioqKkmWllw4tWLCgihYtamYHVKlSRTt27PD3pv4rycnJmjNnjsqUKaPNmzf7e3P+tazYjsyO8VdffVWJiYkqWLCgdu3a5cetvDzaEfiy4vHh5HygnDp1qgoUKGDOx4F8DXQ3efJkWVZ66dw333xTCQkJyps3b5bogHQfOLG3+ZVXXjHXeHsmTSBez3fv3q077rjDXMsLFCig+Ph4FSpUyHQW169fPyArDbjLLueq7NqOrDioKGXfdmSH/cq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      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(int_numeric_features)\n",
    "plt.title('Missing Values Matrix for Integer Numeric Features')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c80761f0",
   "metadata": {
    "papermill": {
     "duration": 0.019563,
     "end_time": "2024-04-05T12:41:55.638101",
     "exception": false,
     "start_time": "2024-04-05T12:41:55.618538",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "💡 Very interesting! int datatypes have no missing values at all."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5875b70b",
   "metadata": {
    "papermill": {
     "duration": 0.019348,
     "end_time": "2024-04-05T12:41:55.677100",
     "exception": false,
     "start_time": "2024-04-05T12:41:55.657752",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### Float features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "11508599",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:55.717845Z",
     "iopub.status.busy": "2024-04-05T12:41:55.717464Z",
     "iopub.status.idle": "2024-04-05T12:41:56.289469Z",
     "shell.execute_reply": "2024-04-05T12:41:56.288424Z"
    },
    "papermill": {
     "duration": 0.595126,
     "end_time": "2024-04-05T12:41:56.291734",
     "exception": false,
     "start_time": "2024-04-05T12:41:55.696608",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(float_numeric_features, figsize=(15, 16))\n",
    "plt.title('Missing Values Matrix for Float Numeric Features')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b407659",
   "metadata": {
    "papermill": {
     "duration": 0.021525,
     "end_time": "2024-04-05T12:41:56.334289",
     "exception": false,
     "start_time": "2024-04-05T12:41:56.312764",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "💡 There does not seem to be a pattern in this data, no missing values are mutual as in rows between the 3 float features or at least.. not many."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a266423a",
   "metadata": {
    "papermill": {
     "duration": 0.021423,
     "end_time": "2024-04-05T12:41:56.378682",
     "exception": false,
     "start_time": "2024-04-05T12:41:56.357259",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "#### Categorical features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5255703a",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:56.424897Z",
     "iopub.status.busy": "2024-04-05T12:41:56.423639Z",
     "iopub.status.idle": "2024-04-05T12:41:57.382301Z",
     "shell.execute_reply": "2024-04-05T12:41:57.381111Z"
    },
    "papermill": {
     "duration": 0.984495,
     "end_time": "2024-04-05T12:41:57.385265",
     "exception": false,
     "start_time": "2024-04-05T12:41:56.400770",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(categorical_features)\n",
    "plt.title('Missing Values Matrix for Categorical Features')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dc7516d",
   "metadata": {
    "papermill": {
     "duration": 0.024023,
     "end_time": "2024-04-05T12:41:57.433768",
     "exception": false,
     "start_time": "2024-04-05T12:41:57.409745",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "💡 A very noticable pattern of missing values on the right, regarding the garage feature, **'GarageType', 'GarageFinish', 'GarageQual', 'GarageCond'**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0820a6ed",
   "metadata": {
    "papermill": {
     "duration": 0.02413,
     "end_time": "2024-04-05T12:41:57.482356",
     "exception": false,
     "start_time": "2024-04-05T12:41:57.458226",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now that we have taken a very good and precies look at the mnso plot, what are the pattern of missing values?\n",
    "\n",
    "When analyzing the plot, the examination of missing data patterns can help distinguish between **Missing Completely at Random (MCAR)**, **Missing at Random (MAR)**, and **Missing Not at Random (MNAR)** scenarios.\n",
    "\n",
    "1- **MCAR** (Missing Completely at Random): If the missing values appear randomly across all variables, irrespective of the values of other variables, the data is considered MCAR. In the plot, missing values would seem scattered without any discernible pattern.\n",
    "\n",
    "2- **MAR** (Missing at Random): In a MAR scenario, the likelihood of a value being missing depends on the observed values but not on the unobserved ones. The plot may reveal patterns of missingness associated with certain observed variables.\n",
    "\n",
    "3- **MNAR** (Missing Not at Random): MNAR occurs when the missing values are related to the unobserved data itself. If certain values are systematically missing based on their own magnitude, the plot might indicate a non-random pattern."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8b3835b0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:57.533444Z",
     "iopub.status.busy": "2024-04-05T12:41:57.533013Z",
     "iopub.status.idle": "2024-04-05T12:41:57.579005Z",
     "shell.execute_reply": "2024-04-05T12:41:57.577828Z"
    },
    "papermill": {
     "duration": 0.074352,
     "end_time": "2024-04-05T12:41:57.581498",
     "exception": false,
     "start_time": "2024-04-05T12:41:57.507146",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The missing data is MNAR.\n"
     ]
    }
   ],
   "source": [
    "missing_indicator = pd.isnull(train_data[['GarageType', 'GarageFinish', 'GarageQual', 'GarageCond']]).astype(int)\n",
    "observed_table = pd.crosstab(index=missing_indicator['GarageType'], \n",
    "                              columns=[missing_indicator['GarageFinish'], \n",
    "                                       missing_indicator['GarageQual'], \n",
    "                                       missing_indicator['GarageCond']],\n",
    "                              margins=True)\n",
    "\n",
    "chi2, p_value, _, _ = chi2_contingency(observed_table)\n",
    "\n",
    "if p_value > 0.05:\n",
    "    print(\"The missing data is not MNAR.\")\n",
    "else:\n",
    "    print(\"The missing data is MNAR.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2a3c6c2",
   "metadata": {
    "papermill": {
     "duration": 0.023688,
     "end_time": "2024-04-05T12:41:57.630283",
     "exception": false,
     "start_time": "2024-04-05T12:41:57.606595",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "To conclude this mnso plot, we have 3 datatypes and 3 mnso plots.\n",
    "\n",
    "* Int has no missing values.\n",
    "* Float has a **MCAR** (Missing Completely at Random) pattern\n",
    "* Categorical features are month missing at random and not missing at random. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "81888b09",
   "metadata": {
    "papermill": {
     "duration": 0.023887,
     "end_time": "2024-04-05T12:41:57.678602",
     "exception": false,
     "start_time": "2024-04-05T12:41:57.654715",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Imputation of missing values"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5183989c",
   "metadata": {
    "papermill": {
     "duration": 0.024565,
     "end_time": "2024-04-05T12:41:57.728254",
     "exception": false,
     "start_time": "2024-04-05T12:41:57.703689",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "**There is no way to know what works best, based on your observations conduct tests and compare results.**\n",
    "\n",
    "I decided to impute missing values of the float features with mean, categorical features with mode except for garage related features, since the missing values % is not high, i will test probalisitic imputation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "7b47b8c8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:57.779412Z",
     "iopub.status.busy": "2024-04-05T12:41:57.778634Z",
     "iopub.status.idle": "2024-04-05T12:41:57.785125Z",
     "shell.execute_reply": "2024-04-05T12:41:57.783838Z"
    },
    "papermill": {
     "duration": 0.034709,
     "end_time": "2024-04-05T12:41:57.787601",
     "exception": false,
     "start_time": "2024-04-05T12:41:57.752892",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "float_numeric_features=['LotFrontage','MasVnrArea','GarageYrBlt']\n",
    "categorical_features=['MSZoning', 'Street', 'LotShape', 'LandContour', 'Utilities',\n",
    "       'LotConfig', 'LandSlope', 'Neighborhood', 'Condition1', 'Condition2',\n",
    "       'BldgType', 'HouseStyle', 'RoofStyle', 'RoofMatl', 'Exterior1st',\n",
    "       'Exterior2nd', 'ExterQual', 'ExterCond', 'Foundation', 'BsmtQual',\n",
    "       'BsmtCond', 'BsmtExposure', 'BsmtFinType1', 'BsmtFinType2', 'Heating',\n",
    "       'HeatingQC', 'CentralAir', 'Electrical', 'KitchenQual', 'Functional'\n",
    "       , 'PavedDrive',\n",
    "       'SaleType', 'SaleCondition']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c8c0f253",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:57.838386Z",
     "iopub.status.busy": "2024-04-05T12:41:57.837948Z",
     "iopub.status.idle": "2024-04-05T12:41:57.876657Z",
     "shell.execute_reply": "2024-04-05T12:41:57.875431Z"
    },
    "papermill": {
     "duration": 0.067196,
     "end_time": "2024-04-05T12:41:57.879459",
     "exception": false,
     "start_time": "2024-04-05T12:41:57.812263",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "garage_features=['GarageType', 'GarageFinish', 'GarageQual', 'GarageCond']\n",
    "for feature in garage_features:\n",
    "    probabilities = train_data[feature].value_counts(normalize=True)\n",
    "    train_data[feature] = train_data[feature].fillna(np.random.choice(probabilities.index, p=probabilities.values))\n",
    "\n",
    "train_data[float_numeric_features] = train_data[float_numeric_features].apply(lambda x: x.fillna(x.mean()), axis=0)\n",
    "\n",
    "for feature in categorical_features:\n",
    "    mode_value = train_data[feature].mode()[0]\n",
    "    train_data[feature] = train_data[feature].fillna(mode_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "d64bec4e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:57.931419Z",
     "iopub.status.busy": "2024-04-05T12:41:57.931008Z",
     "iopub.status.idle": "2024-04-05T12:41:57.972557Z",
     "shell.execute_reply": "2024-04-05T12:41:57.971404Z"
    },
    "papermill": {
     "duration": 0.070356,
     "end_time": "2024-04-05T12:41:57.975265",
     "exception": false,
     "start_time": "2024-04-05T12:41:57.904909",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "for feature in garage_features:\n",
    "    probabilities = test_data[feature].value_counts(normalize=True)\n",
    "    test_data[feature] = test_data[feature].fillna(np.random.choice(probabilities.index, p=probabilities.values))\n",
    "\n",
    "test_data[float_numeric_features] = test_data[float_numeric_features].fillna(test_data[float_numeric_features].mean())\n",
    "\n",
    "for feature in categorical_features:\n",
    "    mode_value = test_data[feature].mode()[0]\n",
    "    test_data[feature] = test_data[feature].fillna(mode_value)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6626ce3",
   "metadata": {
    "papermill": {
     "duration": 0.024916,
     "end_time": "2024-04-05T12:41:58.024693",
     "exception": false,
     "start_time": "2024-04-05T12:41:57.999777",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Now that we have observed the pattern and made our decision on the imputation techinques, let us take a final look at the mnso plot after imputation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a4d839f8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:58.075554Z",
     "iopub.status.busy": "2024-04-05T12:41:58.075138Z",
     "iopub.status.idle": "2024-04-05T12:41:58.083664Z",
     "shell.execute_reply": "2024-04-05T12:41:58.082729Z"
    },
    "papermill": {
     "duration": 0.036357,
     "end_time": "2024-04-05T12:41:58.085888",
     "exception": false,
     "start_time": "2024-04-05T12:41:58.049531",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "categorical_features = train_data.select_dtypes(include=['object'])\n",
    "int_numeric_features = train_data.select_dtypes(include=['int64'])\n",
    "float_numeric_features = train_data.select_dtypes(include=['float64'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d8f2fdba",
   "metadata": {
    "_kg_hide-input": true,
    "execution": {
     "iopub.execute_input": "2024-04-05T12:41:58.138090Z",
     "iopub.status.busy": "2024-04-05T12:41:58.137173Z",
     "iopub.status.idle": "2024-04-05T12:42:00.382178Z",
     "shell.execute_reply": "2024-04-05T12:42:00.380860Z"
    },
    "papermill": {
     "duration": 2.273577,
     "end_time": "2024-04-05T12:42:00.384847",
     "exception": false,
     "start_time": "2024-04-05T12:41:58.111270",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.matrix(int_numeric_features)\n",
    "plt.title('Missing Values Matrix for Integer Numeric Features')\n",
    "plt.show()\n",
    "\n",
    "msno.matrix(float_numeric_features, figsize=(12, 6))\n",
    "plt.title('Missing Values Matrix for Float Numeric Features')\n",
    "plt.show()\n",
    "\n",
    "msno.matrix(categorical_features)\n",
    "plt.title('Missing Values Matrix for Categorical Features')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bca0e238",
   "metadata": {
    "papermill": {
     "duration": 0.032307,
     "end_time": "2024-04-05T12:42:00.449252",
     "exception": false,
     "start_time": "2024-04-05T12:42:00.416945",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Very clean, Yosh! 🥳"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b445240d",
   "metadata": {
    "papermill": {
     "duration": 0.032311,
     "end_time": "2024-04-05T12:42:00.514033",
     "exception": false,
     "start_time": "2024-04-05T12:42:00.481722",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Train and Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "05be2fa2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:42:00.580535Z",
     "iopub.status.busy": "2024-04-05T12:42:00.579871Z",
     "iopub.status.idle": "2024-04-05T12:42:00.587479Z",
     "shell.execute_reply": "2024-04-05T12:42:00.586667Z"
    },
    "papermill": {
     "duration": 0.043564,
     "end_time": "2024-04-05T12:42:00.589659",
     "exception": false,
     "start_time": "2024-04-05T12:42:00.546095",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "x = train_data.drop(['SalePrice','Id'],axis = 1)\n",
    "y = train_data['SalePrice']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "3b0015dd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:42:00.656292Z",
     "iopub.status.busy": "2024-04-05T12:42:00.655633Z",
     "iopub.status.idle": "2024-04-05T12:42:00.665139Z",
     "shell.execute_reply": "2024-04-05T12:42:00.664354Z"
    },
    "papermill": {
     "duration": 0.045497,
     "end_time": "2024-04-05T12:42:00.667420",
     "exception": false,
     "start_time": "2024-04-05T12:42:00.621923",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "x_train, x_test, y_train, y_test = train_test_split(x,y,test_size = 0.2,random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b67ce06b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:42:00.733330Z",
     "iopub.status.busy": "2024-04-05T12:42:00.732932Z",
     "iopub.status.idle": "2024-04-05T12:42:00.742743Z",
     "shell.execute_reply": "2024-04-05T12:42:00.741702Z"
    },
    "papermill": {
     "duration": 0.045551,
     "end_time": "2024-04-05T12:42:00.744926",
     "exception": false,
     "start_time": "2024-04-05T12:42:00.699375",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "categorical_columns = x.select_dtypes(include=['object']).columns\n",
    "\n",
    "numeric_features = x.columns.difference(categorical_columns)\n",
    "\n",
    "numeric_transformer = Pipeline(steps=[ ('imputer', SimpleImputer(strategy='median')), ('scaler', StandardScaler())])\n",
    "\n",
    "categorical_transformer = Pipeline(steps=[('imputer', SimpleImputer(strategy='constant', fill_value='missing')),('onehot', OneHotEncoder(handle_unknown='ignore'))])\n",
    "\n",
    "preprocessor = ColumnTransformer(transformers=[('num', numeric_transformer, numeric_features),('cat', categorical_transformer, categorical_columns)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5b995451",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:42:00.811246Z",
     "iopub.status.busy": "2024-04-05T12:42:00.810235Z",
     "iopub.status.idle": "2024-04-05T12:42:17.728051Z",
     "shell.execute_reply": "2024-04-05T12:42:17.726528Z"
    },
    "papermill": {
     "duration": 16.954511,
     "end_time": "2024-04-05T12:42:17.731507",
     "exception": false,
     "start_time": "2024-04-05T12:42:00.776996",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "29308.414383561645\n"
     ]
    }
   ],
   "source": [
    "\n",
    "model = Pipeline(steps=[('preprocessor', preprocessor), ('classifier', LogisticRegression(random_state=42))])\n",
    "\n",
    "model.fit(x_train, y_train)\n",
    "\n",
    "predictions = model.predict(x_test)\n",
    "mae = mean_absolute_error(y_test,predictions)\n",
    "\n",
    "print(mae)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a1cd811c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:42:17.819099Z",
     "iopub.status.busy": "2024-04-05T12:42:17.817898Z",
     "iopub.status.idle": "2024-04-05T12:42:17.888230Z",
     "shell.execute_reply": "2024-04-05T12:42:17.887033Z"
    },
    "papermill": {
     "duration": 0.106719,
     "end_time": "2024-04-05T12:42:17.890862",
     "exception": false,
     "start_time": "2024-04-05T12:42:17.784143",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "predict = model.predict(test_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "615f8790",
   "metadata": {
    "papermill": {
     "duration": 0.032405,
     "end_time": "2024-04-05T12:42:17.955654",
     "exception": false,
     "start_time": "2024-04-05T12:42:17.923249",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# Submission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "67fd0e0e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-04-05T12:42:18.024962Z",
     "iopub.status.busy": "2024-04-05T12:42:18.024542Z",
     "iopub.status.idle": "2024-04-05T12:42:18.039043Z",
     "shell.execute_reply": "2024-04-05T12:42:18.038152Z"
    },
    "papermill": {
     "duration": 0.050514,
     "end_time": "2024-04-05T12:42:18.041237",
     "exception": false,
     "start_time": "2024-04-05T12:42:17.990723",
     "status": "completed"
    },
    "tags": []
   },
   "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>Id</th>\n",
       "      <th>SalePrice</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1461</td>\n",
       "      <td>125000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1462</td>\n",
       "      <td>272000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1463</td>\n",
       "      <td>192000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1464</td>\n",
       "      <td>189000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1465</td>\n",
       "      <td>189000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Id  SalePrice\n",
       "0  1461     125000\n",
       "1  1462     272000\n",
       "2  1463     192000\n",
       "3  1464     189000\n",
       "4  1465     189000"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "submission = pd.DataFrame({'Id': test_data['Id'], 'SalePrice': predict})\n",
    "submission.to_csv('submission.csv',index = False)\n",
    "submission.head()"
   ]
  }
 ],
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