car_sale_data.ipynb

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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 23906 entries, 0 to 23905\n",
      "Data columns (total 12 columns):\n",
      " #   Column         Non-Null Count  Dtype \n",
      "---  ------         --------------  ----- \n",
      " 0   Date           23906 non-null  object\n",
      " 1   Gender         23906 non-null  object\n",
      " 2   Annual Income  23906 non-null  int64 \n",
      " 3   Dealer_Name    23906 non-null  object\n",
      " 4   Company        23906 non-null  object\n",
      " 5   Model          23906 non-null  object\n",
      " 6   Engine         23906 non-null  object\n",
      " 7   Transmission   23906 non-null  object\n",
      " 8   Color          23906 non-null  object\n",
      " 9   Price ($)      23906 non-null  int64 \n",
      " 10  Body Style     23906 non-null  object\n",
      " 11  Dealer_Region  23906 non-null  object\n",
      "dtypes: int64(2), object(10)\n",
      "memory usage: 2.2+ MB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Annual Income</th>\n",
       "      <th>Dealer_Name</th>\n",
       "      <th>Company</th>\n",
       "      <th>Model</th>\n",
       "      <th>Engine</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Color</th>\n",
       "      <th>Price ($)</th>\n",
       "      <th>Body Style</th>\n",
       "      <th>Dealer_Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1/2/2022</td>\n",
       "      <td>Male</td>\n",
       "      <td>13500</td>\n",
       "      <td>Buddy Storbeck's Diesel Service Inc</td>\n",
       "      <td>Ford</td>\n",
       "      <td>Expedition</td>\n",
       "      <td>DoubleÂ Overhead Camshaft</td>\n",
       "      <td>Auto</td>\n",
       "      <td>Black</td>\n",
       "      <td>26000</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Middletown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1/2/2022</td>\n",
       "      <td>Male</td>\n",
       "      <td>1480000</td>\n",
       "      <td>C &amp; M Motors Inc</td>\n",
       "      <td>Dodge</td>\n",
       "      <td>Durango</td>\n",
       "      <td>DoubleÂ Overhead Camshaft</td>\n",
       "      <td>Auto</td>\n",
       "      <td>Black</td>\n",
       "      <td>19000</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Aurora</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1/2/2022</td>\n",
       "      <td>Male</td>\n",
       "      <td>1035000</td>\n",
       "      <td>Capitol KIA</td>\n",
       "      <td>Cadillac</td>\n",
       "      <td>Eldorado</td>\n",
       "      <td>Overhead Camshaft</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Red</td>\n",
       "      <td>31500</td>\n",
       "      <td>Passenger</td>\n",
       "      <td>Greenville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1/2/2022</td>\n",
       "      <td>Male</td>\n",
       "      <td>13500</td>\n",
       "      <td>Chrysler of Tri-Cities</td>\n",
       "      <td>Toyota</td>\n",
       "      <td>Celica</td>\n",
       "      <td>Overhead Camshaft</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Pale White</td>\n",
       "      <td>14000</td>\n",
       "      <td>SUV</td>\n",
       "      <td>Pasco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1/2/2022</td>\n",
       "      <td>Male</td>\n",
       "      <td>1465000</td>\n",
       "      <td>Chrysler Plymouth</td>\n",
       "      <td>Acura</td>\n",
       "      <td>TL</td>\n",
       "      <td>DoubleÂ Overhead Camshaft</td>\n",
       "      <td>Auto</td>\n",
       "      <td>Red</td>\n",
       "      <td>24500</td>\n",
       "      <td>Hatchback</td>\n",
       "      <td>Janesville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23901</th>\n",
       "      <td>12/31/2023</td>\n",
       "      <td>Male</td>\n",
       "      <td>13500</td>\n",
       "      <td>C &amp; M Motors Inc</td>\n",
       "      <td>Plymouth</td>\n",
       "      <td>Voyager</td>\n",
       "      <td>Overhead Camshaft</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Red</td>\n",
       "      <td>12000</td>\n",
       "      <td>Passenger</td>\n",
       "      <td>Pasco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23902</th>\n",
       "      <td>12/31/2023</td>\n",
       "      <td>Female</td>\n",
       "      <td>900000</td>\n",
       "      <td>Ryder Truck Rental and Leasing</td>\n",
       "      <td>Chevrolet</td>\n",
       "      <td>Prizm</td>\n",
       "      <td>DoubleÂ Overhead Camshaft</td>\n",
       "      <td>Auto</td>\n",
       "      <td>Black</td>\n",
       "      <td>16000</td>\n",
       "      <td>Hardtop</td>\n",
       "      <td>Middletown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23903</th>\n",
       "      <td>12/31/2023</td>\n",
       "      <td>Male</td>\n",
       "      <td>705000</td>\n",
       "      <td>Chrysler of Tri-Cities</td>\n",
       "      <td>BMW</td>\n",
       "      <td>328i</td>\n",
       "      <td>Overhead Camshaft</td>\n",
       "      <td>Manual</td>\n",
       "      <td>Red</td>\n",
       "      <td>21000</td>\n",
       "      <td>Sedan</td>\n",
       "      <td>Scottsdale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23904</th>\n",
       "      <td>12/31/2023</td>\n",
       "      <td>Male</td>\n",
       "      <td>13500</td>\n",
       "      <td>Chrysler Plymouth</td>\n",
       "      <td>Chevrolet</td>\n",
       "      <td>Metro</td>\n",
       "      <td>DoubleÂ Overhead Camshaft</td>\n",
       "      <td>Auto</td>\n",
       "      <td>Black</td>\n",
       "      <td>31000</td>\n",
       "      <td>Passenger</td>\n",
       "      <td>Austin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23905</th>\n",
       "      <td>12/31/2023</td>\n",
       "      <td>Male</td>\n",
       "      <td>1225000</td>\n",
       "      <td>Pars Auto Sales</td>\n",
       "      <td>Lexus</td>\n",
       "      <td>ES300</td>\n",
       "      <td>DoubleÂ Overhead Camshaft</td>\n",
       "      <td>Auto</td>\n",
       "      <td>Pale White</td>\n",
       "      <td>27500</td>\n",
       "      <td>Hardtop</td>\n",
       "      <td>Middletown</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23906 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Date  Gender  Annual Income                          Dealer_Name  \\\n",
       "0        1/2/2022    Male          13500  Buddy Storbeck's Diesel Service Inc   \n",
       "1        1/2/2022    Male        1480000                     C & M Motors Inc   \n",
       "2        1/2/2022    Male        1035000                          Capitol KIA   \n",
       "3        1/2/2022    Male          13500               Chrysler of Tri-Cities   \n",
       "4        1/2/2022    Male        1465000                    Chrysler Plymouth   \n",
       "...           ...     ...            ...                                  ...   \n",
       "23901  12/31/2023    Male          13500                     C & M Motors Inc   \n",
       "23902  12/31/2023  Female         900000       Ryder Truck Rental and Leasing   \n",
       "23903  12/31/2023    Male         705000               Chrysler of Tri-Cities   \n",
       "23904  12/31/2023    Male          13500                    Chrysler Plymouth   \n",
       "23905  12/31/2023    Male        1225000                      Pars Auto Sales   \n",
       "\n",
       "         Company       Model                     Engine Transmission  \\\n",
       "0           Ford  Expedition  DoubleÂ Overhead Camshaft         Auto   \n",
       "1          Dodge     Durango  DoubleÂ Overhead Camshaft         Auto   \n",
       "2       Cadillac    Eldorado          Overhead Camshaft       Manual   \n",
       "3         Toyota      Celica          Overhead Camshaft       Manual   \n",
       "4          Acura          TL  DoubleÂ Overhead Camshaft         Auto   \n",
       "...          ...         ...                        ...          ...   \n",
       "23901   Plymouth     Voyager          Overhead Camshaft       Manual   \n",
       "23902  Chevrolet       Prizm  DoubleÂ Overhead Camshaft         Auto   \n",
       "23903        BMW        328i          Overhead Camshaft       Manual   \n",
       "23904  Chevrolet       Metro  DoubleÂ Overhead Camshaft         Auto   \n",
       "23905      Lexus       ES300  DoubleÂ Overhead Camshaft         Auto   \n",
       "\n",
       "            Color  Price ($) Body Style Dealer_Region  \n",
       "0           Black      26000        SUV    Middletown  \n",
       "1           Black      19000        SUV        Aurora  \n",
       "2             Red      31500  Passenger    Greenville  \n",
       "3      Pale White      14000        SUV         Pasco  \n",
       "4             Red      24500  Hatchback    Janesville  \n",
       "...           ...        ...        ...           ...  \n",
       "23901         Red      12000  Passenger         Pasco  \n",
       "23902       Black      16000    Hardtop    Middletown  \n",
       "23903         Red      21000      Sedan    Scottsdale  \n",
       "23904       Black      31000  Passenger        Austin  \n",
       "23905  Pale White      27500    Hardtop    Middletown  \n",
       "\n",
       "[23906 rows x 12 columns]"
      ]
     },
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   ],
   "source": [
    "#data analysis and data preparation\n",
    "#imports\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "# Load the dataset\n",
    "df = pd.read_csv('car_data.csv')\n",
    "\n",
    "# Drop irrelevant columns\n",
    "df.drop(['Car id', 'Customer Name', 'Dealer No', 'Phone'], axis=1, inplace=True)\n",
    "\n",
    "# Drop missing values \n",
    "df.dropna(inplace=True)\n",
    "\n",
    "df.info()\n",
    "df"
   ]
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   "cell_type": "code",
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    {
     "data": {
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mzJAbN25Io0aNpGPHjlK6dGlxd3eX7du3y+rVq9MccR8A8BTK2vHZAABIPRq5quqVK1f0jTfe0AIFCqijo6MWLlxYw8PDU40cLv9/FO/p06drsWLF1MnJSUuXLq1ff/11usu/fv26vv/++1qlShV1c3NTJycnfeaZZ7RTp076yy+/GMtdu3ZNu3Xrpvnz59ecOXNq3bp19eeff041Krd1NPKFCxemuw7W7XiY+0cjt/riiy+0QoUK6uzsrJ6entq6dWs9cOBAqtd/8cUXWqJECXV2dtaSJUvql19+qZ07d7YZjVxVNSEhQT/66COtWLGiZs+eXd3c3LR06dL6+uuv69GjR43l7t/u2bNna6NGjdTb21udnZ3V19dX27dvr3v37n3odllHIx83bpyOGDFCCxUqpM7Ozlq5cmVds2bNA19XpEgRLVOmzEPXndKaNWv0tdde07Jly6qnp6c6OjpqgQIFtG3btrp161abZQ8ePKhBQUHq7u6uuXPn1nbt2umZM2dURHT48OHGcvePRm61ceNGfe6559TLy0udnJy0YMGC+txzzxmfibt37+obb7yhFSpUUA8PD82RI4eWKlVKhw8frnfu3En3NgEAnlwW1RT9yQAAeMpYLBbp1auXfPLJJ1ldFWSivXv3SsWKFWXatGny1ltvZXV1AABIhW7kAADgqXH8+HE5ffq0DBo0SAoUKJDqtmcAADwpGCANAAA8Nd5//30JCgqS27dvy8KFCyVnzpxZXSUAANJEN3IAAAAAAExGyzYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJmM0chFJTk6W8+fPi7u7u1gslqyuDgAAAAAgk6iq3Lp1S3x9fSVbNvPaownbInL+/Hnx8/PL6moAAAAAALLI2bNnpVChQqatj7AtIu7u7iJy78318PDI4toAAAAAADLLzZs3xc/Pz8iFZiFsixhdxz08PAjbAAAAAPAfZPYlxQyQBgAAAACAyQjbAAAAAACYjLANAAAAAIDJCNsAAAAAAJiMsA0AAAAAgMkI2wAAAAAAmIywDQAAAACAyQjbAAAAAACYjLANAAAAAIDJCNsAAAAAAJiMsA0AAAAAgMkI2wAAAAAAmIywDQAAAACAyQjbAAAAAACYjLANAAAAAIDJCNsAAAAAAJiMsA0AAAAAgMkI2wAAAAAAmMwxqyvwJGrq096u618Xs8Cu6wcAAAAAZC1atgEAAAAAMBlhGwAAAAAAkxG2AQAAAAAwGWEbAAAAAACTEbYBAAAAADAZYRsAAAAAAJNx668nSLNiXe26/jXHv0pzevMKvexa7g97p9l1/QAAAADwpKFlGwAAAAAAkxG2AQAAAAAwGWEbAAAAAACTEbYBAAAAADAZYRsAAAAAAJMRtgEAAAAAMNkTE7bHjh0rFotFQkNDjWmqKhEREeLr6ys5cuSQhg0byoEDB2xeFxcXJ3369JG8efOKq6urtGrVSs6dO5fJtQcAAAAA4P88EWF7+/bt8tlnn0mFChVspo8fP14mTpwon3zyiWzfvl18fHwkKChIbt26ZSwTGhoqS5culaioKNm8ebPcvn1bWrRoIUlJSZm9GQAAAAAAiMgTELZv374tL7/8snz++eeSO3duY7qqyuTJk2Xw4MHStm1bCQgIkNmzZ8vff/8t33zzjYiI3LhxQ2bNmiUTJkyQpk2bSuXKlWXevHmyb98+WbduXVZtEgAAAADgPy7Lw3avXr3kueeek6ZNm9pMP3nypMTExEhwcLAxzcXFRRo0aCBbtmwREZGdO3dKQkKCzTK+vr4SEBBgLJOWuLg4uXnzps0DAAAAAACzOGZl4VFRUfL777/L9u3bU82LiYkRERFvb2+b6d7e3nL69GljGWdnZ5sWcesy1tenZezYsTJixIjHrT4AAAAAAGnKspbts2fPSt++fWXevHmSPXv2By5nsVhsnqtqqmn3+6dlwsPD5caNG8bj7NmzGas8AAAAAAAPkWVhe+fOnXLx4kUJDAwUR0dHcXR0lI0bN8qUKVPE0dHRaNG+v4X64sWLxjwfHx+Jj4+Xa9euPXCZtLi4uIiHh4fNAwAAAAAAs2RZ2G7SpIns27dPdu/ebTyqVq0qL7/8suzevVuKFi0qPj4+Eh0dbbwmPj5eNm7cKLVr1xYRkcDAQHFycrJZ5sKFC7J//35jGQAAAAAAMluWXbPt7u4uAQEBNtNcXV0lT548xvTQ0FAZM2aMlChRQkqUKCFjxoyRnDlzSseOHUVExNPTU7p16yb9+/eXPHnyiJeXl4SFhUn58uVTDbgGAAAAAEBmydIB0v7JgAEDJDY2Vt566y25du2a1KhRQ9auXSvu7u7GMpMmTRJHR0dp3769xMbGSpMmTSQyMlIcHByysOYAAAAAgP8yi6pqVlciq928eVM8PT3lxo0b4uHhIU192tu1vHUxC9Kc3qxYV7uWu+b4V2lOb16hl13L/WHvNLuuHwAAAAAe1f150CxZfp9tAAAAAAD+bQjbAAAAAACY7Im+Zhv/bs/V6m/X9a/cOsGu6wcAAACAB6FlGwAAAAAAkxG2AQAAAAAwGWEbAAAAAACTEbYBAAAAADAZYRsAAAAAAJMRtgEAAAAAMBlhGwAAAAAAk3GfbfzntGg8yK7r/379GLuuHwAAAMCTj7ANZJLnnhtu1/WvXDnCrusHAAAAkH50IwcAAAAAwGSEbQAAAAAATEbYBgAAAADAZIRtAAAAAABMRtgGAAAAAMBkhG0AAAAAAExG2AYAAAAAwGSEbQAAAAAATEbYBgAAAADAZI5ZXQEA9vVs2xF2Xf/qJcPtun4AAADgaUTLNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACZzzMrCZ8yYITNmzJBTp06JiEi5cuVk2LBhEhISIiIiXbp0kdmzZ9u8pkaNGrJt2zbjeVxcnISFhcm3334rsbGx0qRJE5k+fboUKlQo07YDQGpB/xtp1/VHfzvMrusHAAAAHkeWtmwXKlRIPvjgA9mxY4fs2LFDGjduLK1bt5YDBw4Yyzz77LNy4cIF4/HDDz/YrCM0NFSWLl0qUVFRsnnzZrl9+7a0aNFCkpKSMntzAAAAAAAQkSxu2W7ZsqXN89GjR8uMGTNk27ZtUq5cORERcXFxER8fnzRff+PGDZk1a5bMnTtXmjZtKiIi8+bNEz8/P1m3bp00a9bMvhsAAAAAAEAanphrtpOSkiQqKkru3LkjtWrVMqZv2LBB8ufPLyVLlpQePXrIxYsXjXk7d+6UhIQECQ4ONqb5+vpKQECAbNmy5YFlxcXFyc2bN20eAAAAAACYJcvD9r59+8TNzU1cXFzkjTfekKVLl0rZsmVFRCQkJES+/vprWb9+vUyYMEG2b98ujRs3lri4OBERiYmJEWdnZ8mdO7fNOr29vSUmJuaBZY4dO1Y8PT2Nh5+fn/02EAAAAADwn5Ol3chFREqVKiW7d++W69evy+LFi6Vz586yceNGKVu2rHTo0MFYLiAgQKpWrSqFCxeWlStXStu2bR+4TlUVi8XywPnh4eHSr18/4/nNmzcJ3AAAAAAA02R52HZ2dpbixYuLiEjVqlVl+/bt8vHHH8vMmTNTLVugQAEpXLiwHD16VEREfHx8JD4+Xq5du2bTun3x4kWpXbv2A8t0cXERFxcXk7cEAAAAAIB7srwb+f1U1egmfr8rV67I2bNnpUCBAiIiEhgYKE5OThIdHW0sc+HCBdm/f/9DwzYAAAAAAPaUpS3bgwYNkpCQEPHz85Nbt25JVFSUbNiwQVavXi23b9+WiIgIeeGFF6RAgQJy6tQpGTRokOTNm1fatGkjIiKenp7SrVs36d+/v+TJk0e8vLwkLCxMypcvb4xODgAAAABAZsvSsP3XX3/JK6+8IhcuXBBPT0+pUKGCrF69WoKCgiQ2Nlb27dsnc+bMkevXr0uBAgWkUaNGMn/+fHF3dzfWMWnSJHF0dJT27dtLbGysNGnSRCIjI8XBwSELtwwAAAAA8F+WpWF71qxZD5yXI0cOWbNmzT+uI3v27DJ16lSZOnWqmVUDAAAAAOCRPXHXbAMAAAAA8LQjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACZzzOoKAICZGnd+367rXz97qF3XDwAAgH8HwjYAmKB+D/uG/E2fE/IBAACeJnQjBwAAAADAZIRtAAAAAABMRtgGAAAAAMBkhG0AAAAAAEzGAGkA8BSr85Z9B2b7ZToDswEAADwKWrYBAAAAADAZYRsAAAAAAJMRtgEAAAAAMBlhGwAAAAAAkxG2AQAAAAAwGWEbAAAAAACTEbYBAAAAADAZYRsAAAAAAJMRtgEAAAAAMBlhGwAAAAAAkxG2AQAAAAAwGWEbAAAAAACTEbYBAAAAADAZYRsAAAAAAJMRtgEAAAAAMBlhGwAAAAAAkxG2AQAAAAAwGWEbAAAAAACTEbYBAAAAADBZlobtGTNmSIUKFcTDw0M8PDykVq1asmrVKmO+qkpERIT4+vpKjhw5pGHDhnLgwAGbdcTFxUmfPn0kb9684urqKq1atZJz585l9qYAAAAAAGBwzMrCCxUqJB988IEUL15cRERmz54trVu3ll27dkm5cuVk/PjxMnHiRImMjJSSJUvKqFGjJCgoSI4cOSLu7u4iIhIaGiorVqyQqKgoyZMnj/Tv319atGghO3fuFAcHh6zcPAD416oZ+r5d179t8lC7rh8AAMDesjRst2zZ0ub56NGjZcaMGbJt2zYpW7asTJ48WQYPHixt27YVkXth3NvbW7755ht5/fXX5caNGzJr1iyZO3euNG3aVERE5s2bJ35+frJu3Tpp1qxZpm8TAMB+qr870q7r/+3DYXZdPwAA+O94Yq7ZTkpKkqioKLlz547UqlVLTp48KTExMRIcHGws4+LiIg0aNJAtW7aIiMjOnTslISHBZhlfX18JCAgwlklLXFyc3Lx50+YBAAAAAIBZsjxs79u3T9zc3MTFxUXeeOMNWbp0qZQtW1ZiYmJERMTb29tmeW9vb2NeTEyMODs7S+7cuR+4TFrGjh0rnp6exsPPz8/krQIAAAAA/JdledguVaqU7N69W7Zt2yZvvvmmdO7cWQ4ePGjMt1gsNsuraqpp9/unZcLDw+XGjRvG4+zZs4+3EQAAAAAApJDlYdvZ2VmKFy8uVatWlbFjx0rFihXl448/Fh8fHxGRVC3UFy9eNFq7fXx8JD4+Xq5du/bAZdLi4uJijIBufQAAAAAAYJYsD9v3U1WJi4sTf39/8fHxkejoaGNefHy8bNy4UWrXri0iIoGBgeLk5GSzzIULF2T//v3GMgAAAAAAZLYsHY180KBBEhISIn5+fnLr1i2JioqSDRs2yOrVq8VisUhoaKiMGTNGSpQoISVKlJAxY8ZIzpw5pWPHjiIi4unpKd26dZP+/ftLnjx5xMvLS8LCwqR8+fLG6OQAAAAAAGS2LA3bf/31l7zyyity4cIF8fT0lAoVKsjq1aslKChIREQGDBggsbGx8tZbb8m1a9ekRo0asnbtWuMe2yIikyZNEkdHR2nfvr3ExsZKkyZNJDIykntsAwAAAACyTJaG7VmzZj10vsVikYiICImIiHjgMtmzZ5epU6fK1KlTTa4dAAAAAACP5om7ZhsAAAAAgKcdYRsAAAAAAJMRtgEAAAAAMBlhGwAAAAAAkxG2AQAAAAAwGWEbAAAAAACTEbYBAAAAADAZYRsAAAAAAJMRtgEAAAAAMBlhGwAAAAAAkxG2AQAAAAAwmWNWVwAAgCdd4OCRdl3/ztHD7Lp+AACQ+WjZBgAAAADAZIRtAAAAAABMRtgGAAAAAMBkhG0AAAAAAExG2AYAAAAAwGSPHbaTkpJk9+7dcu3aNTPqAwAAAADAUy/DYTs0NFRmzZolIveCdoMGDaRKlSri5+cnGzZsMLt+AAAAAAA8dTIcthctWiQVK1YUEZEVK1bIyZMn5fDhwxIaGiqDBw82vYIAAAAAADxtMhy2L1++LD4+PiIi8sMPP0i7du2kZMmS0q1bN9m3b5/pFQQAAAAA4GmT4bDt7e0tBw8elKSkJFm9erU0bdpURET+/vtvcXBwML2CAAAAAAA8bRwz+oKuXbtK+/btpUCBAmKxWCQoKEhERH799VcpXbq06RUEAAAAAOBpk+GwHRERIQEBAXL27Flp166duLi4iIiIg4ODDBw40PQKAgAAAADwtMlw2BYRefHFF0VE5O7du8a0zp07m1MjAAAgIiKVIkbYdf27I4bbdf0AAPyXZfia7aSkJHn//felYMGC4ubmJidOnBARkaFDhxq3BAMAAAAA4L8swy3bo0ePltmzZ8v48eOlR48exvTy5cvLpEmTpFu3bqZWEAAAZK6KYyPsuv494fZdPwAAT4IMt2zPmTNHPvvsM3n55ZdtRh+vUKGCHD582NTKAQAAAADwNMpw2P7zzz+lePHiqaYnJydLQkKCKZUCAAAAAOBpluGwXa5cOfn5559TTV+4cKFUrlzZlEoBAAAAAPA0y/A128OHD5dXXnlF/vzzT0lOTpYlS5bIkSNHZM6cOfL999/bo44AAAAAADxVMhy2W7ZsKfPnz5cxY8aIxWKRYcOGSZUqVWTFihUSFBRkjzoCAID/gIoT7Hsrsj397XsrNQAAUnqk+2w3a9ZMmjVrZnZdAAAAMl3lT4bZdf27eo+06/oBAE+mRwrbAAAAeDzVPx9q1/X/1uN9u64fAPBw6QrbuXPnFovFkq4VXr169bEqBAAAAADA0y5dYXvy5Ml2rgYAAAAyQ8O5g+y6/g2vjLHr+gHgaZGusN25c2d71wMAAAAAgH+Nx7pmOzY2VhISEmymeXh4PFaFAAAAAAB42mU4bN+5c0fee+89WbBggVy5ciXV/KSkJFMqBgAAgH+P5xYOtOv6V7b7wK7rB4CMypbRFwwYMEDWr18v06dPFxcXF/niiy9kxIgR4uvrK3PmzMnQusaOHSvVqlUTd3d3yZ8/vzz//PNy5MgRm2W6dOkiFovF5lGzZk2bZeLi4qRPnz6SN29ecXV1lVatWsm5c+cyumkAAAAAAJgiw2F7xYoVMn36dHnxxRfF0dFR6tWrJ0OGDJExY8bI119/naF1bdy4UXr16iXbtm2T6OhoSUxMlODgYLlz547Ncs8++6xcuHDBePzwww8280NDQ2Xp0qUSFRUlmzdvltu3b0uLFi1oZQcAAAAAZIkMdyO/evWq+Pv7i8i967Ott/qqW7euvPnmmxla1+rVq22ef/XVV5I/f37ZuXOn1K9f35ju4uIiPj4+aa7jxo0bMmvWLJk7d640bdpURETmzZsnfn5+sm7dOmnWrFmG6gQAAAAAwOPKcMt20aJF5dSpUyIiUrZsWVmwYIGI3GvxzpUr12NV5saNGyIi4uXlZTN9w4YNkj9/filZsqT06NFDLl68aMzbuXOnJCQkSHBwsDHN19dXAgICZMuWLWmWExcXJzdv3rR5AAAAAABglgyH7a5du8qePXtERCQ8PNy4dvudd96Rd99995EroqrSr18/qVu3rgQEBBjTQ0JC5Ouvv5b169fLhAkTZPv27dK4cWOJi4sTEZGYmBhxdnaW3Llz26zP29tbYmJi0ixr7Nix4unpaTz8/Pweud4AAAAAANwvw93I33nnHeP/jRo1kkOHDsnOnTulWLFiUrFixUeuSO/evWXv3r2yefNmm+kdOnQw/h8QECBVq1aVwoULy8qVK6Vt27YPXJ+qisViSXNeeHi49OvXz3h+8+ZNAjcAAAAAwDSPdZ9tEZHChQtL4cKFH2sdffr0keXLl8umTZukUKFCD122QIECUrhwYTl69KiIiPj4+Eh8fLxcu3bNpnX74sWLUrt27TTX4eLiIi4uLo9VZwAAAAAAHiTd3ch//fVXWbVqlc20OXPmiL+/v+TPn1969uxpdO1OL1WV3r17y5IlS2T9+vXGwGsPc+XKFTl79qwUKFBAREQCAwPFyclJoqOjjWUuXLgg+/fvf2DYBgAAAADAntIdtiMiImTv3r3G83379km3bt2kadOmMnDgQFmxYoWMHTs2Q4X36tVL5s2bJ9988424u7tLTEyMxMTESGxsrIiI3L59W8LCwmTr1q1y6tQp2bBhg7Rs2VLy5s0rbdq0ERERT09P6datm/Tv319+/PFH2bVrl3Tq1EnKly9vjE4OAAAAAEBmSnc38t27d8v7779vPI+KipIaNWrI559/LiIifn5+Mnz4cImIiEh34TNmzBARkYYNG9pM/+qrr6RLly7i4OAg+/btkzlz5sj169elQIEC0qhRI5k/f764u7sby0+aNEkcHR2lffv2EhsbK02aNJHIyEhxcHBId10AAADw7/PS8kcfwDc9olp9aNf1A3h6pTtsX7t2Tby9vY3nGzdulGeffdZ4Xq1aNTl79myGClfVh87PkSOHrFmz5h/Xkz17dpk6dapMnTo1Q+UDAAAAAGAP6Q7b3t7ecvLkSfHz85P4+Hj5/fffZcSIEcb8W7duiZOTk10qCQAAADxNXl/7zj8v9BhmBk9Kc/p7G960a7njGs6w6/qBf5N0X7P97LPPysCBA+Xnn3+W8PBwyZkzp9SrV8+Yv3fvXilWrJhdKgkAAAAAwNMk3S3bo0aNkrZt20qDBg3Ezc1NZs+eLc7Ozsb8L7/8UoKDg+1SSQAAAABPrlE/d7Hr+ofUi7Tr+gF7SHfYzpcvn/z8889y48YNcXNzSzX42MKFC8XNzc30CgIAAABAWqZsaWfX9b9de6Fd149/t3SHbStPT880p3t5eT12ZQAAAAAA+DfIcNgGAAAAgP+y2Vub23X9nWv9YNf1I3MQtgEAAADgKfDdr/X+eaHH0LrGz2lO3/BbVbuW27D6DruuP6ukezRyAAAAAACQPukK21WqVJFr166JiMjIkSPl77//tmulAAAAAAB4mqUrbB86dEju3LkjIiIjRoyQ27dv27VSAAAAAAA8zdJ1zXalSpWka9euUrduXVFV+eijjx54m69hw4aZWkEAAAAAAJ426QrbkZGRMnz4cPn+++/FYrHIqlWrxNEx9UstFgthGwAAAADw2PbsrGbX9VcM3G7X9acrbJcqVUqioqJERCRbtmzy448/Sv78+e1aMQAAAAAAnlYZvvVXcnKyPeoBAAAAAMC/xiPdZ/v48eMyefJkOXTokFgsFilTpoz07dtXihUrZnb9AAAAAAB46mT4Pttr1qyRsmXLym+//SYVKlSQgIAA+fXXX6VcuXISHR1tjzoCAAAAAPBUyXDL9sCBA+Wdd96RDz74INX09957T4KCgkyrHAAAAAAAT6MMt2wfOnRIunXrlmr6a6+9JgcPHjSlUgAAAAAAPM0yHLbz5csnu3fvTjV99+7djFAOAAAAAIA8QjfyHj16SM+ePeXEiRNSu3ZtsVgssnnzZhk3bpz079/fHnUEAAAAAOCpkuGwPXToUHF3d5cJEyZIeHi4iIj4+vpKRESEvP3226ZXEAAAAACAp02Gw7bFYpF33nlH3nnnHbl165aIiLi7u5teMQAAAAAAnlaPdJ9tK0I2AAAAAACpZXiANAAAAAAA8HCEbQAAAAAATEbYBgAAAADAZBkK2wkJCdKoUSP5448/7FUfAAAAAACeehkK205OTrJ//36xWCz2qg8AAAAAAE+9DHcjf/XVV2XWrFn2qAsAAAAAAP8KGb71V3x8vHzxxRcSHR0tVatWFVdXV5v5EydONK1yAAAAAAA8jTIctvfv3y9VqlQREUl17TbdywEAAAAAeISw/dNPP9mjHgAAAAAA/Gs88q2/jh07JmvWrJHY2FgREVFV0yoFAAAAAMDTLMNh+8qVK9KkSRMpWbKkNG/eXC5cuCAiIt27d5f+/fubXkEAAAAAAJ42GQ7b77zzjjg5OcmZM2ckZ86cxvQOHTrI6tWrTa0cAAAAAABPowxfs7127VpZs2aNFCpUyGZ6iRIl5PTp06ZVDAAAAACAp1WGW7bv3Llj06JtdfnyZXFxcTGlUgAAAAAAPM0yHLbr168vc+bMMZ5bLBZJTk6WDz/8UBo1amRq5QAAAAAAeBplOGx/+OGHMnPmTAkJCZH4+HgZMGCABAQEyKZNm2TcuHEZWtfYsWOlWrVq4u7uLvnz55fnn39ejhw5YrOMqkpERIT4+vpKjhw5pGHDhnLgwAGbZeLi4qRPnz6SN29ecXV1lVatWsm5c+cyumkAAAAAAJgiw2G7bNmysnfvXqlevboEBQXJnTt3pG3btrJr1y4pVqxYhta1ceNG6dWrl2zbtk2io6MlMTFRgoOD5c6dO8Yy48ePl4kTJ8onn3wi27dvFx8fHwkKCpJbt24Zy4SGhsrSpUslKipKNm/eLLdv35YWLVpIUlJSRjcPAAAAAIDHluEB0kREfHx8ZMSIEY9d+P2jl3/11VeSP39+2blzp9SvX19UVSZPniyDBw+Wtm3biojI7NmzxdvbW7755ht5/fXX5caNGzJr1iyZO3euNG3aVERE5s2bJ35+frJu3Tpp1qzZY9cTAAAAAICMyHDLtojItWvX5KOPPpJu3bpJ9+7dZcKECXL16tXHrsyNGzdERMTLy0tERE6ePCkxMTESHBxsLOPi4iINGjSQLVu2iIjIzp07JSEhwWYZX19fCQgIMJYBAAAAACAzZThsb9y4Ufz9/WXKlCly7do1uXr1qkyZMkX8/f1l48aNj1wRVZV+/fpJ3bp1JSAgQEREYmJiRETE29vbZllvb29jXkxMjDg7O0vu3LkfuMz94uLi5ObNmzYPAAAAAADMkuFu5L169ZL27dvLjBkzxMHBQUREkpKS5K233pJevXrJ/v37H6kivXv3lr1798rmzZtTzbNYLDbPVTXVtPs9bJmxY8ea0g0eAAAAAIC0ZLhl+/jx49K/f38jaIuIODg4SL9+/eT48eOPVIk+ffrI8uXL5aeffpJChQoZ0318fEREUrVQX7x40Wjt9vHxkfj4eLl27doDl7lfeHi43Lhxw3icPXv2keoNAAAAAEBaMhy2q1SpIocOHUo1/dChQ1KpUqUMrUtVpXfv3rJkyRJZv369+Pv728z39/cXHx8fiY6ONqbFx8fLxo0bpXbt2iIiEhgYKE5OTjbLXLhwQfbv328scz8XFxfx8PCweQAAAAAAYJZ0dSPfu3ev8f+3335b+vbtK8eOHZOaNWuKiMi2bdtk2rRp8sEHH2So8F69esk333wj3333nbi7uxst2J6enpIjRw6xWCwSGhoqY8aMkRIlSkiJEiVkzJgxkjNnTunYsaOxbLdu3aR///6SJ08e8fLykrCwMClfvrwxOjkAAAAAAJkpXWG7UqVKYrFYRFWNaQMGDEi1XMeOHaVDhw7pLnzGjBkiItKwYUOb6V999ZV06dLFKCc2NlbeeustuXbtmtSoUUPWrl0r7u7uxvKTJk0SR0dHad++vcTGxkqTJk0kMjLSpqs7AAAAAACZJV1h++TJk3YpPGV4fxCLxSIRERESERHxwGWyZ88uU6dOlalTp5pYOwAAAAAAHk26wnbhwoXtXQ8AAAAAAP41MnzrLxGRP//8U3755Re5ePGiJCcn28x7++23TakYAAAAAABPqwyH7a+++kreeOMNcXZ2ljx58tjcy9pisRC2AQAAAAD/eRkO28OGDZNhw4ZJeHi4ZMuW4TuHAQAAAADwr5fhtPz333/LSy+9RNAGAAAAAOABMpyYu3XrJgsXLrRHXQAAAAAA+FfIcDfysWPHSosWLWT16tVSvnx5cXJyspk/ceJE0yoHAAAAAMDTKMNhe8yYMbJmzRopVaqUiEiqAdIAAAAAAPivy3DYnjhxonz55ZfSpUsXO1QHAAAAAICnX4av2XZxcZE6derYoy4AAAAAAPwrZDhs9+3bV6ZOnWqPugAAAAAA8K+Q4W7kv/32m6xfv16+//57KVeuXKoB0pYsWWJa5QAAAAAAeBplOGznypVL2rZta4+6AAAAAADwr5DhsP3VV1/Zox4AAAAAAPxrZPiabQAAAAAA8HAZbtn29/d/6P20T5w48VgVAgAAAADgaZfhsB0aGmrzPCEhQXbt2iWrV6+Wd99916x6AQAAAADw1Mpw2O7bt2+a06dNmyY7dux47AoBAAAAAPC0M+2a7ZCQEFm8eLFZqwMAAAAA4KllWthetGiReHl5mbU6AAAAAACeWhnuRl65cmWbAdJUVWJiYuTSpUsyffp0UysHAAAAAMDTKMNh+/nnn7d5ni1bNsmXL580bNhQSpcubVa9AAAAAAB4amU4bA8fPtwe9QAAAAAA4F/DtGu2AQAAAADAPelu2c6WLZvNtdppsVgskpiY+NiVAgAAAADgaZbusL106dIHztuyZYtMnTpVVNWUSgEAAAAA8DRLd9hu3bp1qmmHDx+W8PBwWbFihbz88svy/vvvm1o5AAAAAACeRo90zfb58+elR48eUqFCBUlMTJTdu3fL7Nmz5ZlnnjG7fgAAAAAAPHUyFLZv3Lgh7733nhQvXlwOHDggP/74o6xYsUICAgLsVT8AAAAAAJ466e5GPn78eBk3bpz4+PjIt99+m2a3cgAAAAAAkIGwPXDgQMmRI4cUL15cZs+eLbNnz05zuSVLlphWOQAAAAAAnkbpDtuvvvrqP976CwAAAAAAZCBsR0ZG2rEaAAAAAAD8ezzSaOQAAAAAAODBCNsAAAAAAJiMsA0AAAAAgMkI2wAAAAAAmIywDQAAAACAyQjbAAAAAACYLEvD9qZNm6Rly5bi6+srFotFli1bZjO/S5cuYrFYbB41a9a0WSYuLk769OkjefPmFVdXV2nVqpWcO3cuE7cCAAAAAABbWRq279y5IxUrVpRPPvnkgcs8++yzcuHCBePxww8/2MwPDQ2VpUuXSlRUlGzevFlu374tLVq0kKSkJHtXHwAAAACANDlmZeEhISESEhLy0GVcXFzEx8cnzXk3btyQWbNmydy5c6Vp06YiIjJv3jzx8/OTdevWSbNmzUyvMwAAAAAA/+SJv2Z7w4YNkj9/filZsqT06NFDLl68aMzbuXOnJCQkSHBwsDHN19dXAgICZMuWLVlRXQAAAAAAsrZl+5+EhIRIu3btpHDhwnLy5EkZOnSoNG7cWHbu3CkuLi4SExMjzs7Okjt3bpvXeXt7S0xMzAPXGxcXJ3Fxccbzmzdv2m0bAAAAAAD/PU902O7QoYPx/4CAAKlataoULlxYVq5cKW3btn3g61RVLBbLA+ePHTtWRowYYWpdAQAAAACweuK7kadUoEABKVy4sBw9elRERHx8fCQ+Pl6uXbtms9zFixfF29v7gesJDw+XGzduGI+zZ8/atd4AAAAAgP+WpypsX7lyRc6ePSsFChQQEZHAwEBxcnKS6OhoY5kLFy7I/v37pXbt2g9cj4uLi3h4eNg8AAAAAAAwS5Z2I799+7YcO3bMeH7y5EnZvXu3eHl5iZeXl0RERMgLL7wgBQoUkFOnTsmgQYMkb9680qZNGxER8fT0lG7dukn//v0lT5484uXlJWFhYVK+fHljdHIAAAAAADJblobtHTt2SKNGjYzn/fr1ExGRzp07y4wZM2Tfvn0yZ84cuX79uhQoUEAaNWok8+fPF3d3d+M1kyZNEkdHR2nfvr3ExsZKkyZNJDIyUhwcHDJ9ewAAAAAAEMnisN2wYUNR1QfOX7NmzT+uI3v27DJ16lSZOnWqmVUDAAAAAOCRPVXXbAMAAAAA8DQgbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJsvSsL1p0yZp2bKl+Pr6isVikWXLltnMV1WJiIgQX19fyZEjhzRs2FAOHDhgs0xcXJz06dNH8ubNK66urtKqVSs5d+5cJm4FAAAAAAC2sjRs37lzRypWrCiffPJJmvPHjx8vEydOlE8++US2b98uPj4+EhQUJLdu3TKWCQ0NlaVLl0pUVJRs3rxZbt++LS1atJCkpKTM2gwAAAAAAGw4ZmXhISEhEhISkuY8VZXJkyfL4MGDpW3btiIiMnv2bPH29pZvvvlGXn/9dblx44bMmjVL5s6dK02bNhURkXnz5omfn5+sW7dOmjVrlmnbAgAAAACA1RN7zfbJkyclJiZGgoODjWkuLi7SoEED2bJli4iI7Ny5UxISEmyW8fX1lYCAAGMZAAAAAAAyW5a2bD9MTEyMiIh4e3vbTPf29pbTp08byzg7O0vu3LlTLWN9fVri4uIkLi7OeH7z5k2zqg0AAAAAwJPbsm1lsVhsnqtqqmn3+6dlxo4dK56ensbDz8/PlLoCAAAAACDyBIdtHx8fEZFULdQXL140Wrt9fHwkPj5erl279sBl0hIeHi43btwwHmfPnjW59gAAAACA/7InNmz7+/uLj4+PREdHG9Pi4+Nl48aNUrt2bRERCQwMFCcnJ5tlLly4IPv37zeWSYuLi4t4eHjYPAAAAAAAMEuWXrN9+/ZtOXbsmPH85MmTsnv3bvHy8pJnnnlGQkNDZcyYMVKiRAkpUaKEjBkzRnLmzCkdO3YUERFPT0/p1q2b9O/fX/LkySNeXl4SFhYm5cuXN0YnBwAAAAAgs2Vp2N6xY4c0atTIeN6vXz8REencubNERkbKgAEDJDY2Vt566y25du2a1KhRQ9auXSvu7u7GayZNmiSOjo7Svn17iY2NlSZNmkhkZKQ4ODhk+vYAAAAAACCSxWG7YcOGoqoPnG+xWCQiIkIiIiIeuEz27Nll6tSpMnXqVDvUEAAAAACAjHtir9kGAAAAAOBpRdgGAAAAAMBkhG0AAAAAAExG2AYAAAAAwGSEbQAAAAAATEbYBgAAAADAZIRtAAAAAABMRtgGAAAAAMBkhG0AAAAAAExG2AYAAAAAwGSEbQAAAAAATEbYBgAAAADAZIRtAAAAAABMRtgGAAAAAMBkhG0AAAAAAExG2AYAAAAAwGSEbQAAAAAATEbYBgAAAADAZIRtAAAAAABMRtgGAAAAAMBkhG0AAAAAAExG2AYAAAAAwGSEbQAAAAAATEbYBgAAAADAZIRtAAAAAABMRtgGAAAAAMBkhG0AAAAAAExG2AYAAAAAwGSEbQAAAAAATEbYBgAAAADAZIRtAAAAAABMRtgGAAAAAMBkhG0AAAAAAExG2AYAAAAAwGSEbQAAAAAATEbYBgAAAADAZIRtAAAAAABMRtgGAAAAAMBkhG0AAAAAAEz2RIftiIgIsVgsNg8fHx9jvqpKRESE+Pr6So4cOaRhw4Zy4MCBLKwxAAAAAABPeNgWESlXrpxcuHDBeOzbt8+YN378eJk4caJ88sknsn37dvHx8ZGgoCC5detWFtYYAAAAAPBf98SHbUdHR/Hx8TEe+fLlE5F7rdqTJ0+WwYMHS9u2bSUgIEBmz54tf//9t3zzzTdZXGsAAAAAwH/ZEx+2jx49Kr6+vuLv7y8vvfSSnDhxQkRETp48KTExMRIcHGws6+LiIg0aNJAtW7ZkVXUBAAAAABDHrK7Aw9SoUUPmzJkjJUuWlL/++ktGjRoltWvXlgMHDkhMTIyIiHh7e9u8xtvbW06fPv3Q9cbFxUlcXJzx/ObNm+ZXHgAAAADwn/VEh+2QkBDj/+XLl5datWpJsWLFZPbs2VKzZk0REbFYLDavUdVU0+43duxYGTFihPkVBgAAAABAnoJu5Cm5urpK+fLl5ejRo8ao5NYWbquLFy+mau2+X3h4uNy4ccN4nD171m51BgAAAAD89zxVYTsuLk4OHTokBQoUEH9/f/Hx8ZHo6Ghjfnx8vGzcuFFq16790PW4uLiIh4eHzQMAAAAAALM80d3Iw8LCpGXLlvLMM8/IxYsXZdSoUXLz5k3p3LmzWCwWCQ0NlTFjxkiJEiWkRIkSMmbMGMmZM6d07Ngxq6sOAAAAAPgPe6LD9rlz5+R///ufXL58WfLlyyc1a9aUbdu2SeHChUVEZMCAARIbGytvvfWWXLt2TWrUqCFr164Vd3f3LK45AAAAAOC/7IkO21FRUQ+db7FYJCIiQiIiIjKnQgAAAAAApMNTdc02AAAAAABPA8I2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGAywjYAAAAAACYjbAMAAAAAYDLCNgAAAAAAJiNsAwAAAABgMsI2AAAAAAAmI2wDAAAAAGCyf03Ynj59uvj7+0v27NklMDBQfv7556yuEgAAAADgP+pfEbbnz58voaGhMnjwYNm1a5fUq1dPQkJC5MyZM1ldNQAAAADAf9C/ImxPnDhRunXrJt27d5cyZcrI5MmTxc/PT2bMmJHVVQMAAAAA/Ac99WE7Pj5edu7cKcHBwTbTg4ODZcuWLVlUKwAAAADAf5ljVlfgcV2+fFmSkpLE29vbZrq3t7fExMSk+Zq4uDiJi4sznt+4cUNERG7evCkiIonJCXaqrdiUc7/E5PgsKTchKYvKTYxLc/q/ttyErCk3MeHuf6vceMrNlHLjsqbcJMrNnHLvZs3+KsvKjf1vlZuYReUm/P3fKjf+TtaUG3cna47r7mZZuVlz3B6bReX+fScxS8q9czspS8q9nUnlWv9VVVPXb1Gz15jJzp8/LwULFpQtW7ZIrVq1jOmjR4+WuXPnyuHDh1O9JiIiQkaMGJGZ1QQAAAAAPMHOnj0rhQoVMm19T33Ldt68ecXBwSFVK/bFixdTtXZbhYeHS79+/YznycnJcvXqVcmTJ49YLJYMlX/z5k3x8/OTs2fPioeHR8Y34BFRLuVSLuVSLuVSLuVSLuVSLuVS7uOXq6py69Yt8fX1NbVOT33YdnZ2lsDAQImOjpY2bdoY06Ojo6V169ZpvsbFxUVcXFxspuXKleux6uHh4ZGpHybKpVzKpVzKpVzKpVzKpVzKpVzKNadcT09P0+vy1IdtEZF+/frJK6+8IlWrVpVatWrJZ599JmfOnJE33ngjq6sGAAAAAPgP+leE7Q4dOsiVK1dk5MiRcuHCBQkICJAffvhBChcunNVVAwAAAAD8B/0rwraIyFtvvSVvvfVWppfr4uIiw4cPT9UtnXIpl3Ipl3Ipl3Ipl3Ipl3Ipl3L/3eU+zFM/GjkAAAAAAE+abFldAQAAAAAA/m0I2wAAAAAAmIywDQAAAACAyQjbAACYKDk5OaurAAAAngCEbQDIZElJSVldhadGYmJiVlchw7Jlu/fTeuTIkSyuCf5NOIkDEZHjx4+LiAjjG5uP7xjsgbCNfxVVfSp+gKx1TG9dn4Ztyiz2fC9u374tV65csdv6RUSOHj0qI0aMkL/++suu5aTHhx9+KKdPn87qajzQvn375KOPPpKbN29mdVXSZcGCBfLZZ5+JiEi/fv3k3Xffldu3b2dxrfBvkJycbJzEWb58uezateuJ//4+Cf5tv51r166VEiVKyPfffy8Wi+Vft31ZSVWN79jOnTslNjY2i2uEfwvCNv41O+u4uDixWCxisVhkz549curUqayuUpqSk5PFYrGIiMjff/8tCQkJ6V7+r7/+kmvXrsnff/9t93o+aayfU+t7YfYZ6CNHjkiPHj3kiy++kHPnzpm6bqt9+/ZJ7dq15ebNm3Lp0iURybrv361bt2Tp0qVy9+7dLCn/n+zZs0cqVqwocXFx4uHhkdXV+UcJCQly6NAheeONNyQkJEQ+//xz6dGjh0ycOFEGDRokn3322T9+1x/Vv2UfbmXdnm3btsmuXbsyrbwnVcoQMHDgQBkwYICsWrVKFi1aRCB4AOvf9OLFi1lcE3NVrVpV3njjDWnfvr2sXLnS7oH7+PHjsmzZsiz/nNn7O5ryOKtfv37y0ksvyZUrV7J035AVn+EnbV+YVn2eyt4HiiyXnJysqqqHDx/WHTt26Lp16zK97PXr1+vw4cO1Y8eOOm/ePD179uwjrysrnDt3TsuXL69XrlzRH374QfPkyaPbt2/Psvqkx+jRo7V27dpav3597dmzp169ejXVMklJScb/33//fa1fv74WKlRIu3fvrj/++GNmVjdLHTlyRIcPH649e/bUmTNn6qlTp1TV9v15HHv27FEfHx/t2rWrrlmzxpR13u+vv/7S0qVLa2hoqM30mzdv2qW89EhISFBV1c2bN+uJEyeyrB73279/v+bIkUNHjhyZ1VVJl5Sfw+rVq6vFYtE333xTPT09tXHjxtqwYUPNmTOnBgUF6Zo1a0zdVx4+fFgnTpyo165dM22dT4I1a9aoh4eHrly5UhMTE01d94P2G2btT+xl5MiRmidPHt26davGxcUZ78uT9v1VfTLeywULFqiPj0+mvTfW7/XOnTt1+fLlOnPmTL148aKxnzVLbGys9u/fX52cnIzjRXscf/35559qsVjUyclJo6KiNC4uzvQy0sO6bb/88otOmTJF33nnHd2+fbveunXL9LKuXbumnTt31p9++sn0dWeEdZtXrFihVatWtdtxSVq2bdv2RBxfWt+D3377TWfNmqVjx47VQ4cOZVq56Z2eHoTtLGb94y1evFj9/f21SpUqmjt3bg0JCcm0D/vixYvV1dVV+/Tpox07dtRatWpp/fr19fr16+leR8ovxcyZM3XTpk1phkd72bt3r4aEhKiPj486OTnpokWLMq3s9Ep58DFx4kT18PDQkSNH6uDBg7Vw4cJaoUIF3b17d5qvHTJkiObJk0fnz5+vUVFR2rhxYy1Tpox+//33ptTt5s2b+vfff6tq1p40Scv+/fs1V65c+sILL2iNGjW0Ro0a6uPjo7/88osp6z916pT6+fnpe++9Z/pBfUpbtmzRWrVqaUJCgiYlJelrr72mTZs21cKFC+uECRP09OnTdivb6v6/bXJyssbFxWm5cuW0ePHievLkSbvX4Z8cOHBAvby8NDAw0Jhm9sGqmVK+p3PmzNH69evr66+/riKi9evXN5Y5fvy4BgYGat26dXXp0qWmlR0VFaUWi0XHjRuXoX32k+zy5cs6aNAgHTdunOnrTrkfXrZsmU6ePFk///xz/eOPP0wv63FMnTpVz507Zzy/cOGC1q1b1/htO3v2rEZHR2vnzp21QIECWqxYsSz5/lo//0ePHtXffvtNf//991TzssKff/6p7dq10xkzZmRquYsWLdL8+fNrUFCQFilSRKtVq6ZTpkwx5bfF+tndtGmTfvrpp5o9e3bNkSOHrl69WlXNf7/j4uK0SpUq6uHhoW5ubjp79uws2xcvXrxY8+bNqy1atNDWrVtr9uzZdejQoabu8z799FP18vLS6tWr6/Hjx01b76NasmSJurm56ZgxY3TXrl2ZUubVq1f1+eef1woVKmT5CQfVe98nHx8fbdiwoT777LOaLVs2nTlzpsbGxtqlPOt3aOPGjTpy5EgNDQ3VhQsXGo0ij3oSkbD9BPj55581V65c+uWXX6rqvbNKFotFIyMj7V72qVOnNCAgwPhBunDhgnp4eGhYWFiG17V8+XLNkSOHBgQEqIuLi/bq1Ut37txpdpUf6PPPP1eLxaJ58uQxWubtGZ4e1YYNG3TIkCH63XffGdNu3bqlgYGBWrVq1VQ/mKtXr9ayZcvqtm3bVFV13bp1mj17dq1Zs6aWLl3a+KF9VOfPn9c6dero559//sQF7oSEBH3hhRf01VdfNabt379fO3XqpDly5DDO9j5OK8r06dO1adOmxrarqp48eVJXrlypI0aM0G+++ebRNyCFVatWaaVKlTQ2NlYbNWqkISEhOnHiRB02bJh6enpqnz599MaNG6aUlRbre3Tx4kXdvn277tmzR+/cuaOq9z4DgYGBWqlSpSxtIdu9e7fmzJlTy5Urp/Xq1dOIiAhj3pPQUna/lHUaPXq0Fi5cWPfv36+JiYn6zDPPqIjop59+ahygxsTEaJUqVbRu3bq6f//+xyp779692q1bN1VVnTJlilosFh0zZozNwWfK73FycrLevXv3scq0t+TkZN2zZ4+6ublpiRIldN68eXYrq3///urr66uVK1c2frOsQTar93/Lly/Xpk2b2vx+xcbGaqVKlbRbt266cuVKbd26tVarVk2bNWumIqIFCxbM9O+v9X1atGiR+vv7q6+vrxYpUkQDAwP1zJkzNstkph07dmj79u21SZMmevbs2Uw7Dti5c6f6+PjoV199paqqJ06cUIvFohMnTjStjCVLlqiHh4cOGzZM3377ba1fv746OTnpypUrVdW899v6no0ZM0bDw8N10KBB6uDgoJGRkZkeuA8ePKiFCxc2jpGTkpLUYrHoiBEjTC1n+/btWrt2bc2ZM6ceOHDAKCsrnD17VkuXLq0ff/yxUY/k5GT95Zdf9PLly3YtOzo6Wtu1a6e1a9fW9evX27Wsh7H2OPziiy9UVfX69etqsVjs3uNt8eLFmj17dm3fvr2WLVtWK1WqpI0aNTIaEB/lO0bYfgJMmDBB//e//6nqve6yxYsX1+7duxvzzey6c/+HZM+ePVq6dGm9c+eOnjhxQv38/LRHjx7G/A0bNvxjV52kpCSNj4/Xjh076ueff66qqnPnztXAwEDt1KmT7tixw7T6pyVlV7qpU6dq27ZttVChQsbOMj4+3q7lZ8SGDRu0UKFC6uHhYQRF69/3r7/+0vz58+uUKVNsXnPkyBF99913VVX1hx9+0Lx58+rnn3+u27dv18KFC2uJEiV04cKFj1WvoKAgrVixos6ZM+eJCtx3797VWrVq6ZgxY2ymX79+Xbt37645c+bUffv2qeqj13fUqFFap04dvXLliqqqfv3119qqVSv19fXV0qVLq8Vi0QEDBjzehqjq1q1bNWfOnBoVFaUvv/yy/vnnn8a8JUuWqIODg65ateqxy0mL9YBh7969WqZMGS1fvrxaLBYdOnSoMe/ChQtaoUKFLAvcu3btUovFoqNGjdK7d+9qv379tHr16k984FZVPX78uL7++uv63XffaVJSksbGxhonzxwcHHTKlCl6/vx5bd26tb744ovq5+enXbt2feTydu/erQ4ODjps2DBj2scff5xm4Fa9t48JDQ3VTz/99In4Xv+Trl27qsVi0fDwcOOEkJkWLVpkXGp09+5djYmJ0XfffVednZ3t1kqYUdbPenR0tB48eFBVVcPDw9XV1VUtFovmzJlTx44dq6qqb731lrZv314rVqyY6d/fzZs3q6urq3722We6e/du/emnn7ROnTpatGhRPX/+vKpm/nv54YcfasmSJTVPnjxGHTJj3xEVFaVNmzZV1XuXd/j7+9scy6Xc52dUcnKy3rp1S2vVqmXze3TmzBnt2bOnOjk52eWz+/PPP6uHh4fu2rVLx44dq46Ojpnewv3LL78YvYQOHz5sXEpn9Si9wh70edi7d6+WLVtWK1eubOx7suJ3Z8+ePVqsWDE9ffq03rhxQz/88EOtX7++WiwWbdKkienH1fcf569fv17btGmjtWvXzpQW7g0bNqT6TK1bt06bN2+uqqp//PGHFipUSHv27GnMt1469bif95R/3zNnzmjJkiVtjsO/++47bdCggTZt2vSRL10gbGeSlH9M6/+tIbBLly7au3dvTU5O1oIFC2rPnj2ND8/s2bONs6RmlG117NgxVb13JrZGjRq6a9cuLVy4sPbo0cMIr7t379bevXvr3r1701yvtY4XL17Uu3fvau/evY3go3rveqmqVatqp06d7NLC/aAv2Pbt27VFixZaqFAhPXz4sDE9OjrauNY3s9z/3h8+fFjfe+89dXNzs7l2NzExUe/cuaMBAQFGsB48eLD+/PPPqnqvm3diYqK2aNFChw8fbrwuODhYS5cura+88spj17Vt27Zarlw5m8Cdsv4JCQn6+++/2+Xg92H+97//aePGjVO1ysXExGjLli0faQd48eJF4/+RkZHq4eGh3bt317Zt22quXLm0b9++umnTJk1KStJp06Zp7ty5jZM3GZWyVaVTp07q6uqqBQoUMHpfWD/HderU0fDw8EcqIz2OHTum3t7e+t577+mpU6d02rRpmi1bNpvxGWJiYjQgIEArVaqUqV1Sk5OTdeTIkTYHkZcuXdJ+/fppjRo1nujAvXDhQrVYLFqwYEGbg5LFixeri4uLvvTSS2qxWLRcuXJapkwZjY+P1++++069vb316NGjGT5QOHDggGbPnt3YD6R8P1IGbmsvifj4eH377bfVYrFkWlfEjHjQ9nft2lWzZ8+u8+fPN/1a0UmTJmmTJk1syk9KStI33nhD/f39bfYPmc26v0hKStLff/9dnZ2dtW/fvvrTTz9p7ty5tWfPnjpp0iTt0aOH5suXT2/evKn16tXTQYMG6YULF7R8+fKZ+v2dOHGiNmvWzOZzeOXKFa1Zs6bWqVMnU+qQlk8//VSLFCmibdu21QsXLqiq+fsO62fH+l0bO3astmrVSpOSktTPz0979uxplPndd9/p2LFjM/z7aS3D2qrm7++vkyZNspl/6tQprV69unp6ehot3I/ijz/+0CVLlqS6LjYsLMwIOdaTUvYM3NZtXrVqlZ48eVJXrFhhXObk7++vPXr0MN7XdevWadeuXfWvv/5K9/pTfg5WrFihU6ZM0a+++sq4BGLfvn1aunRprVatWprHQvaQ8nha9d5+oHjx4lq+fHktUqSIPv/88zpmzBg9fPiw5sqVSydMmGBa2dZj5vuP09evX69BQUFavXp13bp1q2nl3W///v1qsVhSXcr32WefaUBAgB47dkyLFCli831asWKFdurU6bHGvJkwYYJxKaZ1vXv27FFvb2+bMZ/i4uJ08eLFWrFixUe+dp6wnYnOnj1rnI1auHChTp8+XVX/73rtXLlyae/evW1e8/rrr2vXrl1turg+ij/++EP79OljlB0QEKDHjx/XxMRELVOmjFosFn3jjTdsXhMWFqa1atV66E5s0aJFWrp0aS1YsKD6+PikaplbuHCh1qxZU1u3bm3qgZ51x7R582YdMmSIDhkyROfPn2/M37lzp7Zo0UILFCiga9as0UGDBqmPj4/NNXCZ6ZNPPjFaTk+dOqUDBw7UggUL2nSHOXDggLq4uGjdunW1Z8+earFYbE5eXLlyRYsUKaJTp041nnfo0EEXLlyY4QP2kydP6qRJk3TUqFE217enDNwpDwri4uK0W7duWrVq1UwfiOnLL7/USpUq6YwZM1JdpzN79mz19/fP0IB+V69e1Tp16ti0LI4ZM0ZbtWqljRs31ujoaJtt/Oabb7Rs2bIaExOT7jIOHTqkAwcO1OPHj9sckGzatEmDg4PVxcVF165da/Oapk2b6ieffJLuMjJqyJAh2qJFC5tpzZs3119++UU3b95sXKP2119/aZUqVfSZZ57JlJNTV65c0UOHDunGjRuNadYf3MuXLz8Vgfv5559XEdFBgwYZn9HLly9rnz591N/fX8eMGaPfffedsV3ff/+9lixZMkOfKdV7B4F58+bVMmXKGNOsYwBYpQzcFy9e1Lfffltz5Mhhcy3tkyLlfnzEiBE6ePBg/fTTT435r7zyirq7u+vChQsfOXCn9VmZPHmyenl5GQdq1r/LmjVrtGDBgnrkyJFHKutxpbUfnzFjhvr6+mr+/PltWnU2btyo9evX10aNGmnZsmVtekgFBgba7ftrreO2bds0NjZWhw8frs8884wx37q/W758uRYrVszu18Jb63PkyBHdvXu3zVg306dP11q1aulrr71mHMeYse84ceKELlmyRFVV58+fbxxb7dmzR3Pnzq0uLi7at29fm9f06dNH27Rp80jhYOHChVq3bl29deuWvvrqq9qkSZNUXYm7deumOXPm1Hz58j1S65t1MDSLxaI1a9bU/v376x9//KHx8fH6448/aqVKlfTSpUuqeu/Y0NXVVWfOnGm3wL1582a1WCw6d+5cvXLlitatW1cdHR21c+fOqvp/f/f33ntPGzdu/Ehdq999910tVKiQNm/eXOvVq6elSpUyLl3ZvXu3li1bVmvWrGn3Bgbrtnz//fdat25d44TJiRMn9L333tOJEyfq+fPnjfe6devWxnGgGaKiorRmzZratm3bVOMGRUZGqouLi5YqVUo3bNhgWpn3mzt3rrq4uGh4eLjREHns2DGtV6+eurq6Gn936/d3wIABGhIS8shjQ129elXbtWunbm5uGh0dbUw/c+aMlilTxrhkwSohIUH9/Pwe+dIFwnYmuXXrlrZt21aDgoL0gw8+UIvFonPmzFHVe0G4bdu26u/vb3zJrl69qoMGDVJvb29TRt9buXKlWiwWbdasmVosFp09e7Yxb+fOnVqiRAlt0qSJbty4UVevXq3vvPOOenh4pNmqbd0xHD9+XPPnz6/jxo3TESNGaKVKlbRu3bo2B82qqvPmzdPGjRs/VheqtCxevFjz5MmjzZs31/bt26ubm5t++OGHxvy9e/dqhw4dNF++fFqmTJksG5384sWLWqJECS1UqJAR4o4fP67h4eHq6empbdq00bfffltfeOEFzZs3r+bLl0+zZ89unEFLTEw0upB17NhR69evrxMnTtSmTZtq7dq1jZ1Peg8i9uzZo35+flq3bl0tWrSo5syZU6dNm2bMb9eunZYtW1bnzp1rnOTp3bu35syZU3/77TcT35nUzp07p8uWLdMffvjBODmTmJioL7/8spYvX15nz55tcyCxe/duLVq0aIa+I9euXdMRI0ZoxYoVtVevXsb0v//+O80Dh3fffVeDg4PTPRBLXFycVqtWTS0WixYvXlxDQ0P122+/NeZv3LhRa9SoodmzZ9cZM2bo/PnzjZNBR48eTfd2ZNTbb79t8+P0/vvvq8Vi0WrVqqm3t7c2a9bMaJk9f/681qtXz+6DxBw6dEifffZZ7dChg7711luq+n+f47QC9/vvv2/X+vyT+79jycnJ+vfff2u1atVURNTZ2VlnzZplHCzs3btXe/Tood7e3vrxxx/rnTt39Nq1azp48GCtUKFChg4QrdezN2zYUH19ffXtt9825iUmJqYK3E5OTlqmTBn18PDI1LEzMmrx4sXq6empL730knbp0kVz585tXFalqtq5c2f18vLSefPmPVYL98qVK419x549ezQwMFDDwsJsWrH37NmjpUqVeuBAlZll9uzZOnr0aOP5u+++qzlz5tQePXoYvdLatWunjo6O6ubmpl5eXvree+8ZJx3t/f1dvXq1cZC6bds2LVWqlE6ZMsXmZMEvv/yihQsXtuvowdbylixZokWLFtXKlSurp6entmjRwvi9nzx5stauXVt79OhhtHA/jrt372rfvn21UKFC2r9/f5vxdW7fvq1DhgxRX19fo+Xx5MmTGh4erl5eXhnqHWXdthMnTmjt2rV15syZmpycrHPnztUaNWrooEGDbILGW2+9pfPmzXus63mbNGmi2bJl06FDh2qVKlW0ZcuW+uKLL+q5c+c0MDDQpjGod+/emj9/ftMGKEv52Tl69KiOGTNGx48fr6r39m+TJ0/WgIAA7dixo168eFF37Nih7733nnp6ej6w9+XDfPvtt1qwYEHdsmWLqt5rEHFxcbFptNm7d6/mzp3bGBvDnqwDFY8bN+6Bx6p3797VIUOGaL58+Uw/Vpg/f742atRIW7VqZXNi9pdfftGGDRvqm2++abeTd9bfrqioKHVwcNCxY8dqQkKCJiQk6HvvvadFixbVd999V69du2Y0ZOTOndumMepRHDlyRF977TXNnTu3cbx9+/ZtDQkJ0fr166ca7DE4ONjmWDkjCNuZaPXq1VqxYkW1WCw2rTSqqj/++KO+8MILmitXLq1YsaLWqlVLCxUqZGprhPWHoUGDBsa05ORkTUxM1F27dmmlSpXU399fS5UqpQ0aNHjoAcfWrVv1/ffft+n2uXr1am3evLkGBwfrpk2bbJY3+/ZGv/76qxYsWNAY2O3QoUPq5uamFotFBw0aZCyXmJioBw8ezFAXo8eVVujdvXu31qpVS4sUKWIE7pMnT+rAgQPV29tbq1atqqtWrdKlS5dq2bJltWTJkjpw4MBUXQFXrVqlHTp00ICAAG3RooVxUJ+RoJ0zZ04dOHCgxsXF6e7du7VcuXIaEBBg0+rftm1bLVu2rEZGRurrr7+eKS1je/fu1QIFCmjFihXVx8dH8+XLZ5xFTExM1DZt2mjlypV10KBBeunSJb169aoOGDBAy5Qpk+4DDOsP+qVLl/TDDz/UihUrar9+/Yz5Ka/v/+uvv3TAgAGaK1euDP+Yjx8/XidOnKjR0dE6fPhw9fT01A4dOujMmTM1KSlJT548qYMHD9aCBQtquXLltHr16nbv4jt9+nR1dXXVF198UV9++WV1cnLSJUuW6O3bt3Xr1q1ar149HThwoPEe2XtQob1792revHm1X79+NmEwZatiysD97rvvasmSJe0yQnV6pPyOLV68WMeNG6eff/65/vTTTzpo0CDt2rWrOjg4qLOzs37++efGZ+n8+fM6YsQIdXFxUX9/f61QoYLmz58/Q9+n7du3q5OTk0ZERGhiYqLOnDlT8+bN+9DAPXnyZHV0dHziuo6nPKF1/PhxLVq0qNGj448//tBcuXLp66+/brMtrVu3Vj8/vwz9jqR8/cmTJ9VisWhYWJhxOcrIkSONVs/du3fr7t27jYOsrOw5cfv2bW3btq3WqFHDGBxJ9d4AfAULFtT+/fvrxIkTjWv2Dxw4oF999ZVmz57dZpR7e31/z549q7169TKuabxy5YpxZ4XJkyerquqdO3d00KBBWr58eaM11F42bdpkM8Dsxo0b1WKx2Fx+N2XKFC1btqz27t3blL/t0aNHtVGjRmqxWFL1Rjxy5IgOHjxYc+bMqc8884xWqFBBS5Ys+Ui/nzt27ND+/ftru3btbAbPHD58uFavXl1r165t3LI1T548j9yLIOXvXoMGDbRSpUq6evVqjY6O1i5dumj58uW1UKFCWr58eZuTU2YcV3300Uc2+6jDhw9r/fr1tWDBgsYYQKr3ToZPnjxZAwMD1dnZWcuVK6eVKlV65P3b8OHDjdbSxYsXq7u7u9Gr5tatW8bv0NGjR+3+W3jy5EktWbKkEeSsv8Fbt2419lerV6/WNm3aPHYusP6td+/erevXr9cVK1YY85YuXaqNGjXSFi1aGN3GhwwZor1797Zbj0br93HVqlU6efJkLVSokFosFh0yZIiq3jvBEBYWppUqVVJnZ2etXLmyli1b9rF+11LuA3bs2KFdu3bV3LlzGy33f/75pxYvXlzr1aunU6ZM0Z9++knDwsI0V65cj3ySg7CdCaxfnD///FMrVqyopUuX1tatW+uvv/5qs9ypU6f0hx9+0KFDh+o333zzyNdcWT9IKbuenz9/XhctWqS9evVST09Pmy60KVtGjx8/bgzI8CC3bt3S9u3bq6urq7Zv395m3g8//KAhISHavHlzu926LDExUT/99FMj6J89e1aLFCmiPXr00EmTJqnFYrFp4c4qaQ1GV716dZvAPXfuXA0PD9cKFSpos2bNNCwsTK9cuaITJ07USpUqab9+/VKdTUxMTNRr164Z609vN64zZ85o3rx5tV27djbTGzdurAULFtQLFy7o7du3jemdO3dWi8Wi7u7udg/aV69e1bJly2q/fv309u3bevDgQZ02bZo6Ozvra6+9pqr3trtfv34aGBioDg4OWrVq1XSHlpQ715QHFiEhIeru7m4TuJOTkzUsLExffPHFR27l+umnn9TT09M4Q33+/HmNiIhQJycnrVWrlk6fPl1jYmL0xo0beuPGDVNvX/Kwg8np06fr+PHjtV27dqkuG+nSpYvWrVs3U0buPXPmjJYoUULfeecdm+njxo1Ti8ViEzKs9bl06ZIOGTIky29PFhYWpvny5dOGDRtqkSJFtHTp0lq9enWdNm2aHjhwQLNly6bZs2fXOXPm6Pjx440ePYcOHdJZs2bpggULMrwNGzdutAnW169fT1fgfpJuBfbVV18Zv0nWfdZvv/2mVapUUdV7gxwVKlTI5nOZspdURnpGpdz3WscCyJs3r1osFn399deNeR999JEx6FD58uW1du3aGT6B+bju/51ISkrS8+fP62uvvaZ16tSxuT535syZWqhQIW3UqJHNtblJSUlaqVKlVMHPbNu3b9fmzZtrxYoVbbqUnjlzRrt166YlSpTQvHnzap06dTRPnjyZcunCuHHj9OWXX1bVtAeYtZo+ffpj7TvuH0Spe/fuWqtWLS1XrpxGRUXZLBsbG6tHjhzRyMhIXb9+/SP36uvZs6d6enqqv79/qq7MCxcu1J49e2qVKlU0JCTkkX6nbt++rfHx8akuU6xVq5YWL17c+P5t3bpVx48fr19//bWqmjcA26+//qqvvvqqzQnWS5cu6dtvv6358uXTF154wWb5xMREjY2N1fXr1+uxY8ceaWyFlN2QIyIidO3aterm5mYE7eTkZP3mm2/0o48+snlf7Pm7uGPHDi1SpIhevnxZY2NjddKkSVqvXj11cHDQBg0a6IkTJ/T333/XkSNHPtIlLhMmTLAZI+jbb79VT09PLVKkiLq5uWn16tWN8YG+++47bdmypTo5OWm1atXUzc3tkXoOZMTKlSs1e/bsOmHCBP3kk0+0f//+mi1bNn3vvfdU9d57f+HCBV22bJnu27cvw5df3c/6+V2+fLkGBQUZPX5z585tXAp7/vx5bdOmjZYrV06LFCmiVapUeaz9GWE7E8XGxur58+d1xYoVGhQUpM2bN08VuM1y6tQp7d69u/7xxx+6aNEitVgsRhezZcuWqbu7u3bp0sXmNQ/6ICUnJxsfzkOHDmlsbKxxaw03N7dUoXr16tVau3ZtfeGFFx77WvOUdVBVm1vobNmyRe/evauNGzc2AtmJEyc0X758mXJ7gAfVUfXebcjKlSuXKgjv3r1by5cvr2XKlNGTJ08at2sJDAxMdd38uHHjtFKlSvruu+8ao2127NjRuAWYasYOCE+ePKnVqlXTVq1a6ebNm1X13rXKFotFK1asqMHBwdq0aVMdOHCgHj58WG/fvq1hYWGP3VUnPf78808tW7ZsqkE4Vq1apdmzZzcOIpOSkvTcuXO6YMECjY6OTtcopMePH9cZM2ak+mGeOHGi5sqVS7t3764BAQE219jNmjVLR44c+Vij+oaFhenLL79sXMPboUMHLV26tHbt2lXr16+v2bJlM0YTNov183DixAmdOHGi9uvXL9WBoKpq3759deDAgar6f5/bLl266BtvvJEpo8x+9dVX2qhRIz158qRR/sSJE9XV1VW7dOmiTk5ORiuZqu2gUVlp+fLl6u3tbfTcOX36tI4dO1bz5cunVatWVdV7ATJbtmyaI0cO9fX1NX1k6JSDMj0ocFuXyeoRta1OnTpl3BIq5bgLv/32m9asWVN//PFHfeaZZ/T11183Pn979uzRzp076549e1T10bZl9OjRmidPHo2OjtY1a9boJ598otmzZ7fpFpqYmKhbt27VgwcPGp+vrLiX8KFDh2y+vxEREVquXDmbkXGTk5N14sSJ2qpVK5uB3a5cuaJNmjSxy+1Crd+9Gzdu6OnTp7Vu3brq5OSkH3zwgc1y165d0wMHDuj48eN13rx5duvCbq2P9aRIp06dtF+/fmkOMBsZGWlzydyjOnLkiHEp0IIFC7RUqVJ64sQJPXz4sHbv3l1Lly6daj9rxm32EhMT9d1331Vvb28NDw9PsxHkzp07j3R5xb59+7R+/fparVo19ff3N04WWtWtW1cLFiyY6rJAswwdOlQnTpxojGXzyy+/GJepXb16VQcOHKjlypXTwYMHP1Zvqwf9ZlhvFevo6Gjzvbl165YGBQU90u1vH5W1saFy5cpaokQJbd26tUZEROjx48fVycnJaPHO6PZbL3MaO3asurm5GXevqFq1qn755Zd64sQJPX36tNaqVUsDAgKM468//vhDv/32W/3444+Ny1bsISkpSZOSkrRdu3baqVMnm3lffvmlcUmD2QNkqt47geTo6KgzZszQo0eP6vfff69t2rSxCdx///23Xrp0SY8fP/7YLfuEbTuy7iB2796ta9euNc4cqd7bYQcFBWnLli2N8DRq1Cijm+njWrVqlQYEBGi9evWMVharpKQk/e6779TDw0O7dOmily5d0qFDh2rlypVTBZKUQfv777/XfPnyGWcAt27dqu3atdMKFSqkCtzR0dHGfTYfl7X8n3/+WT/++GObbmmnTp3SKlWqGO/hX3/9pa+++qrOmjXLrteKPaiOqvd2nN9//72WLl1aGzRoYBy4WZextr5brzVydXXVnDlz6ksvvaTVqlWzOQs+fvx4DQwM1EaNGmndunXV29v7sW5l9scff+izzz6rrVq10u7du2u+fPl08eLF+tdff+mmTZv0s88+01KlSmm+fPm0adOmmXbbtJMnT6qDg4PNfW6t34PFixerg4PDIx80DRs2TN3d3XXSpEnGD/vYsWPVy8tLN23apHfu3NHx48druXLlbM7+Pu62L1y4UGvVqqWJiYnarVs39fb2Nu6tfOzYsVQHN48r5e29ChUqZFzTny1bNuPaN6vRo0erq6urbtq0Sbds2aLDhw/P8DWFj+O1117TwMBA4/n169d15MiRumHDBk1KStKPP/5Ys2XLZur9ac0wceJELV++vM6cOdM4OXnhwgXt0KGD5siRwwgYISEhmi1bNg0JCTHlOtEHSRm47+8l8CRJSEjQ6OhorVKlilarVs0I3EeOHNHy5curs7NzqpO//fr108aNGz9yN+T4+HgNCQkxuiNaLV26VJ2dnbVPnz5pDiSVFSd0vv32Ww0MDNSoqCib72/VqlVVRDRPnjzGgKop62j9d+jQoVqiRAlTe30cOXLEGARswYIFGhwcrElJSXr06FFt1qyZ1qxZ87FvOZkR586dM068LF68WGfNmqWq9wawLFq0qObOndu4q4tVjx49tHv37o990n/AgAFqsVi0T58+qca82bNnj3bv3l3Lli1rBPIRI0ZoaGhoqgE9H8Za78uXL+vt27eNLtqJiYnaq1cvrVq1qn7wwQfGZ/ZxWlpPnDhhvF+RkZEaHh6uBQsW1I4dO9ocy9WrV0/9/Px048aNprbsfvbZZ2qxWIxjtKtXr2rz5s21dOnSxiDCV65c0bCwMK1Ro4YOGTLE5uRSeqVcdvXq1bpkyRLj9miqqu+88446OTnpihUr9PDhw3rw4EENDg7WKlWq2H2k9YSEBJvPx86dOzU0NFTHjh2rZ8+eNcp/7rnnHvmORNbPypUrV3TKlCmaO3du7dy5s7Zr187m0rvExEStXr16pt09wPoeWHttNmzY0Ohta720NTk5Wd98803j0lCz/x7Tp0/X2rVr2+wv9u/fr61atdLcuXOnuhT2cRG27WzhwoWaO3du9fPzUz8/P6MFVvXeD5h1B9OmTRu1WCymdrsaPXq0WiwWrVGjRqpuIElJSbpq1Sr18PDQkiVLar58+VLdty9l0I6KijICYsou6Fu3btWXXnpJy5cvr+vXrzet7inroHpv1PNcuXJpRESE8YOreu/6HovFojNmzNC4uDgdNGiQVq9ePdNHzLYaNWqU9u7dW+/evatr167V8uXLa926dW2C2+LFi7Vr164aGhqqu3bt0nz58mmBAgW0Zs2aRu+DlGfy5syZo2FhYTatPo/zw3fkyBENCgrSHDlypNnd/tatW7plyxa7ntG0Shmqrd0mU/59rWc+e/bsqS+88ILGxsY+0sHwe++9p4ULF9Yvv/xShw4dqnny5LH50b1y5YpOmDBBfX19ja5LZrC2YPv6+mbKoEunTp3S4sWL64ABA4zPyKxZs4zB16zfp9jYWH3ppZc0W7ZsWrJkSa1UqVKm1C9lK7r1hz1lnazi4uK0VatW2qBBg0w74fMw1jp+8MEH6uTkpEFBQfrDDz8Y8xcsWGDcWqtr165aqFAhjYyMVDc3N23VqpVd74Jw48YNo5XG2lvhSZJyX7V27VqtVq2aNmrUyGj5mz9/vlosFn3zzTc1OjraOOh8lLESrJKTkzU2NlbLli1rjBSt+n8H36+//rpaLJZUl49klvvL2rt3rzZt2lTr1aunPj4+Nt/fIUOGqMVi0SJFiug333xjvD45OVnXrl2rffr00Vy5cpl67JCUlKTDhw9Xi8VijPWS8oD/4MGDGhQUpEFBQbp48WKb19nDzZs39fnnn9eQkBD96KOPjFGqVe/1CGjVqpX6+/vrunXrVPXeyTvroJMpb//5OEJCQtTBwUF79OiRat6ePXv0zTffVA8PD23QoIG6uLhk6D7I1s/Dd999p3Xr1tVSpUppzZo1jR4NiYmJ+uabb2rVqlV1/Pjxjz0GzsSJE7VevXo205YsWaJ16tTRtm3bGj3fVO9dZubm5mbTWPQ4EhISNDQ01Lhd6ffff68HDx7UtWvXaps2bbRq1arG5VeXL1/WsLAwrVOnjtF7Ib1SLhsaGqp58+bVAgUKqJ+fn1auXFnPnj2r169f1549e6q7u7vmz59fAwMDbX5zzO46nvKWZh07dtRKlSrp6NGjbY55rOLi4nTYsGHq7e39SL1ErCeGrdtw5coV/fjjj7VQoULq7e1tnICyXp5w6NAhdXd3Nz1kPsiiRYvU09NTL168qBMmTNCCBQsa+7CUv7fWS1PMHnfpiy++UE9Pz1SXeFh7AlssFlMvhSVs24H1g3Lr1i2tV6+ezpkzR/fv36+zZ89WLy8vffHFF41lo6OjdeTIkdqpUyfTWpWsO4pPPvlEBw8erLVq1dIOHToYoy6mZL0OIq1bJ6UM2k5OTvrtt9/q9OnTtVWrVjbLbd26VTt16qSFChWyS5ejn3/+WXPlyqWfffaZzXTrTmLYsGFqsVi0VKlSmjt37kwbEGjAgAGpRo185ZVXjB/I+Ph4XbNmjVaoUEFr1aql586d09OnT+sLL7xg09py9epVPXz4sBYpUkTr1q2bqsvM/Tt8M87wHTt2TIODgzUkJMTmRzSzuk8eOXLEuPWV9XO2cuVKrVOnjr722mupeiUMGjRIa9SokeED4pTvXb9+/dTLy0tz5sxptMikPKF0+fJlnTJliindH1NuU8mSJY2Bi+x1QJ+UlKSJiYn6wQcf6LPPPmtzre6+ffvUz88vzYPOjRs36r59+zJ1AEHVe61RKQ+YVW0/e/Hx8frKK69oRERElnSFTis0HDp0SD08PNTDw0P79u1r857t379f3dzcNHfu3Db36Ny0aZN6e3ubfieG+12/fl0jIyOz7JZVD2P9+61du1ZfffVVrV69ulosFq1Tp45xwDd79mytXLmyenl5aUBAgFatWjVDJ38eFPLGjx+vhQsXtrn/ueq9ni1t2rRRZ2fnTB9wL+Xnec6cOcagVvv379cSJUponjx5bIJtZGSk5syZU9955x2b7bx165ZOnz5dGzdubLdLfZo3b67ZsmUz7tqQmJho7FMPHDigQUFBGhISYpwEsKfly5dr+fLl1WKx6KhRo2zmrVq1Slu3bq25c+fWatWqaZ06dWwO3h9HbGysJicna1BQkDZs2FCzZ8+ukZGRqVrLT5w4oV9//bW+++67jxTwV61apc7Ozjp+/HidMmWKhoeHa7Zs2YyxaRITE7V3795avHhxnTx58mPtFz/66CMtX7683rx50+Yz9f3332tgYKD26dPHpsGiRYsWpt7CzdqyPWjQILVYLLp8+XJVvXc83LJly1SB+80339SmTZum6xrtlL/pqvduURcYGKjbt2/X06dP6/bt27VGjRpapkwZ43dy69atumHDBt25c6fpl5Lc/3datmyZurm56dtvv63jxo0zxnBKef/mlStX6ksvvaS+vr6P/Bk+duyY8Tm0HlPGxMTolClT1MXFJVVPqP379+szzzxj9zvOqN67bPDVV181euvs2rVLn3vuOW3RooXN8Xv//v31s88+e6Rb2T2I9e+xY8cOrVKlio4ZM8am99Tu3bv1ueee0/79+5t2ok6VsG0369ev15dfflm7du1qdF2Ni4vTZcuWae7cuW0Ct6o5Z9CsH6L7B9JYvny5VqtWTTt06GBzvW/K/1tNmzbN5kz1r7/+qhaLxRjp8/PPP9cKFSpoUlKSTUvUr7/+ql26dDH1Oi3r9owYMUKfe+45Vb13hnv16tXaqVMnbdCggTFIy8aNG3XBggWZcl9g1XvXcri6umqNGjV0z549xo752Weftbk1QGJiov70008aGBio2bJl02LFimlAQIAuX75cp02bpl9//bXRevP7779r0aJFtUGDBsZAZV27drUZLMpM1i7lzZo1szmTbW9XrlxRBwcHtVgsRjdFq08//VQDAwP15ZdftjmR0adPH33++efT1S3v/mVSfreGDx+u3t7eOnXqVGMHm7J13eyWmZiYGC1evHiqrqxmuf82WT/99FOq1s2kpCT19/dPFTgyy4ULF3Tnzp26ceNGo76nTp3SunXrqr+/vy5YsMBm+cTERB08eLD6+fnZ9VZoD5Ly4CgyMlLHjh2r4eHh2rx5c+3Vq5fRYt23b19dtGiRrlmzRmvXrq0FCxbU559/3tivWv8mGelKala9nzTR0dGaLVs2/fjjj3XNmjU6ZswYLVmypFarVs0ILWfOnNGDBw9m+Pq4lN/ZX375RVeuXGn85h4+fFjbtGmjTZo0MT7/N2/e1JYtW+q8efN01KhRWrx4cf3zzz8z5f1LWdddu3ZpxYoVtWHDhsYlV5GRkVq0aFFt0qSJjh07Vg8dOqTNmzdXT09Po/4p92eJiYl2GwQvMTFRX3zxRW3UqJFmy5bN6CKdlJRk/N4dPHhQa9Sooa1btzb9jiNW1vfs3LlzWqZMGS1ZsqS+8MILqU6qHz9+XJcuXaoDBw7U2bNnP3aX+geNe/D6668bgTvld/txRl1PTEzUzp072wzep/p/PQqtl+4lJiZqWFjYY48DERUVpdmzZzda31Oe4J89e7Y6OztnqGX+UQQHB6ujo6PNeBOqtoE7ZZfy9JwQvv+Snfnz52urVq30pZdesvnuxcTEaIUKFbR58+Zprses44D7g/v+/fu1VKlSNn9PLy8vLVSokD777LNG79ANGzbosGHDHins3T/uzS+//KJFihQx3ptLly7ppEmT1MXFRUNDQ/XSpUt6/vx5HTJkiPr4+KTZ8GamnTt3aps2bbRevXo2v+9LlizR5557TvPly6dt27bV4OBgdXd3Ny69e1TW7+/p06f15MmTNu9pv379NCAgwBif586dOxoeHq4tWrR46CDRj4KwbQeJiYk6ffp0zZ07t/r7+9vMswbu/Pnza7NmzUwrM2X3lJYtW2r9+vW1adOmRpBbuXKl1qhRQzt06KDfffedjhgxQi0Wi3GmMDk5WS9duqRt2rSx6T58/vx5m9bqr7/+OtU2/fjjjxobG2v6IAbWHdS0adO0ePHiOmPGDG3VqpU+99xzGhISop06dVIXFxe7txrdz7oDvXHjhhYvXlyrV69utMI0btzYZjAbq+TkZF2yZIkuX75cw8LC1M/PT5s2bap169bVMmXKGIFjx44dxj25a9SoocWKFbNra/Mff/yhLVq00Jo1a6baSdtTs2bNtG3btjYHcVbffvutBgUFae7cubV58+barFkz9fDwSFdL17lz57Rdu3apLmlIeYDav39/LVy4sE6cOPGx7kmaXnPnzlVXV1fTB0O0fg537typ9erVS3X2N+XBYtGiRY2eBKqq69ate6SRXDNqz549WqxYMS1WrJhxv/vvv/9eVe8dUFSqVElz586tw4YN082bN+vcuXO1S5cupneLTa+U39l+/fqpp6en1q5dW4sVK6aOjo7GqMfz5s3TsmXLqpOTk2bLlk1z5syppUuX1nPnzqV5L+7/sqSkJA0LC7O5c0VSUpL+8MMPWqxYMa1bt64pg0n1799fvb291dPTU0uUKKFfffWVJiUl6ZYtW/TFF19UV1dXDQwM1BIlSmhAQICq3jt5XLZsWZu7MNhLys/BmDFjjLsdWC/1snaBPnTokPbo0UMLFiyozzzzjFavXt34/lrXER0dbZfv7/2fVet+0zo6sLUF2/oZtw76mp6BKh+nPmfOnNHY2Fg9c+aMfvfdd9q4cWNt1aqV3XqxpRwnZsiQIdqvXz+b8SPeeustzZEjh0ZGRuqVK1d01KhRWqFChUe+zCk2NlZr1KhhM0Cq9b0PDQ3VoKAg0y+Na9Wqlfr5+RkhNuV3sGzZsnbt8XHmzBktV66cNm7cWJ2dnW0aeFTvfb7btGmjxYoVS/fvwNtvv21z55Lr169rp06d1MfHR2vUqGEsZz2emjlzpgYEBNitV9cXX3yhZcqUMY6LExMTdf/+/TpkyBC9c+eOnjlzRosUKaK9e/fWzZs3q6enpz777LNGC/ejHPft2LFDLRaLjhs3zvgM//HHH1quXDktXbq0MYq3NXBnz55dvby89NVXX9VatWrZ/QSL6r0GlYCAAPXw8EjVm3f//v06Y8YMfeGFF/SNN9547B471vdg2bJlxq2NrYPuWYWFhWm1atXUxcVFK1eurG5ubna5pI6wbaKUP1SXLl3Szz77THPkyJHqzF18fLwuWLBAixQpYuq1fMuXL9ecOXPq0KFD9YcfftBatWqpr6+v0SV35cqV2qRJEy1ZsqT6+/un6gKt+n9nOLdu3WrT4mT94m/evFkLFy5sHJwMGjRI/fz8TAu81vfwl19+0cjISL1x44bu3btXu3fvrs8884x27dpV169fr8nJybpjxw6tWrWq3c/EpVXHlCO0Fi1aVCtVqqT79u3TkJAQjYyM1ISEBL169apevHhR//77b6PF/+uvv1ZfX1+j6/bHH3+sLi4uNu/15cuXdfDgwTpq1ChTrtH+J4cOHdIXX3zRbgdMKVm7O9etW1fnzp2rERERmi1bNuPH1hqSrbdN6dq1qw4dOjTdg90dP35ca9Wqpc8991yq1vqU72FYWJgWL15cR48ebff7wJ47d04bNmxo6ufUekC3e/dudXV1TXXtqXV+XFyc3r59W4sXL260uIaHh6vFYrH7SaqYmBgtVqyYDho0SA8ePKh//PGHtmnTRv38/HTChAmanJysv/76q3br1k1dXV3V3d1dixcvrq1bt37ss9mP66+//jIO5uPi4vTGjRuaK1cuzZEjh06ZMkXHjBmjxYoV02bNmumAAQOMgQWf5EHKslL37t21QoUKqaYPHTrUuBtCRnsApPy9jY6O1sDAQP3pp5/07Nmz+sorr2hAQIBOnTpVExIS9Nq1a7py5UodMmSITp061bjUqlevXhoSEmK3Vtm0TJgwQV1dXXX16tW6bNky9fX11Zw5cxrXkCckJOjly5f1+PHjunHjRr1586YWL17c2J/Z6/trfT83bdqk48eP1969e+vy5cuNk3jvvvuuOjg4GIF71KhRGhISYreeGymvYy5RooTOmzfPmDd//nxt3LixPv/880bgHjNmjHGCxQyLFy9WDw8PffXVV7Vnz56aP39+bdmypTE/NDRUXV1dtVq1aporV640j6f+adusxweq93rwVaxYMdW+7/3339fAwMBHPul++PBhfeedd7RDhw46duxYo57Hjx/XGjVqqL+/v81gtrGxsVqtWjVjADp7uHPnjtELMTQ0VJ2dnVP1cvvhhx/0f//7X7pb8SdPnmx8Fq9evaqq91oz3377bfXy8tIRI0bYLP/dd9+pv7+/XY57kpOTdeXKlVquXDmtV6+ecVxtHdE/OTlZO3furJ07dzaOpYODgzV37tzaqVOnxzr59/HHH6uzs7PNeDxHjx41Gm9SBm7r3Rn69u1r2p2D0mPu3LlapkwZbdasWZq918w8Qb1y5Up1dXXVqVOn6r59+4wxH1L+Vh88eFCjoqL0m2++Mf3uIVaEbRPc333belB/+fJlnT59unp5edkcDKveC9xmXodw69YtbdKkiY4ePVpV7x3oFi1aNFW3pGPHjum+fftS/VCnPEBPTk7WkJAQrV69eqounvv27dOcOXPq6dOnNSIiQl1cXDL0I/MwKQdD8/T01JEjR+rBgwdV9d79IO/vIjRw4ECtXLmy0WUwM9zfFUn13g60cOHCGhAQoIUKFVKLxaKVK1fWAgUKqJubmxYsWNC4t/WgQYOM284sXrxY3d3djS5Ft27dSrPbUGbc99get1ZIi3VbBg0apF9//bUmJyfroEGDNFu2bFqjRg2tW7fuY7c2P6h7fMrPuOq91vW6detmyufHzANS6/dkz5496urqqu++++4Dy0pKStI7d+5osWLFdMeOHTpy5Eh1dXXNlOuyfv/9dy1WrJjxHbbq27evFi1aVGfMmKGq907knT59Wrds2aLnzp0zdb+YEdb3dfr06Vq0aFGtU6eOxsTEGJ+ZH3/8US0Wizo4OBjfW+uBQnx8vAYFBWnnzp2zpO5PukWLFmnlypV18eLFNvuzxYsXa926dbVZs2aPfJDzzTffaL9+/TQ8PNxmes+ePTUgIECnTJmSqqv1qVOnNDQ01LgjhD3dH/5at26t/fv31wMHDmiePHk0LCxMP/roI82XL5+KiE0PmMz+/lp/k7p3764hISFarVq1/9fefcfluP9/AH9fDamkYZX2UGmoNBQVoUSJKOMohGzZSjbJPhwcO+vYZHNsOWRvpayWlRkimq/fH/3u63tfyqq7gc/z8TiPx3Hfd/d11X1f4/35fN7vN9q3b4/s7Gy8e/eOL9bWuHFjyMvL48qVK2WyHyK7du2CgoIC5s+fX2QWbPv27XB3d4e5uTk6derEFyiUhJSUFNSrVw+LFi0CUHjfVKNGDfTt21fweW7btg1r1679oXQX8R6/vr6+2LBhA/Ly8nD06FG4uLigX79+gt81JCQEXl5eRdIDv0d8fDyUlZXh7e3Nz/I6OzvzbRXj4uLg4uICZWVlLFmyBBs2bEBoaCjU1NQkWiBV/JoVExOD2NhY/rlPnz59MeD+nt+5oKAAqamp4DgOR48e5TvxiPb/4cOHGDBgABo2bIgxY8bwNXI8PDzg5uYm0dQx8SAxNzcXJ0+ehKWlJZycnPh7LNFkjYuLi6D2QHBwMP7++2+JdPFZvHgxP8Mtcu/ePTg6OsLAwIC/l3769CmWL19eZrU+xJdwJyUlCWaq165dC2dnZ3Tu3JmfjJL0ve6zZ8/g5eXFr0p58uQJ9PT04ObmBjk5uSIToWWJBdulJPoyHT58GL6+vvD09ERgYCC/3v/Vq1dYsmQJatSoUeSmWJIyMjJgZmaGpKQkPH/+HHXr1kXfvn3550WBzbesWbMGq1atQmpqKry9vdGiRQts3bqVf/7+/ft8H0B5eXmJLzs5deoUVFRUsHLlSsHj4qNusbGxGDRoEFRUVMqtGBogvGmaPXs2unXrxi83effuHaysrKCqqopFixbh5s2b2Lt3L+rXr4+mTZvyF8+hQ4ciIiICR44cQbVq1fhAOz8/Hxs3bsSCBQsqLNgoK8VdzKZNm8YPQADgC9+IBotKO7L5tXz0Dx8+ICwsDEFBQWXWC7asPX36FOrq6nwqSl5eHoYMGYJWrVpBX18fU6dOFSy/s7a2hr29PapUqSKxwbFvOXnyJNTU1PjCOuI3Tn379oW6unql+PvfuHGDX3WQm5uLTZs2wcrKCrVr1+aDNNG+//fff1BWVsa+ffsE7yHqFSpqUfO7Lh0X/d6JiYm4dOkSf8P77NkztGzZEh4eHoIB3NDQUPTr16/EMzkFBQVwdnYGx3Fo27Ztsfm1NjY2iIiI4LeRmZmJuXPnolWrVmVegf/z2fe3b9+iW7ducHd3h6urK4YOHco/37dvXxARGjZsiAMHDuDhw4f8zWd5HL/379+HsbExf01KSUlBtWrVity3HDx4sMz77wKFM292dnb8DF1ubi4+fPiA6Oho/ng9deoUxo0bhy5dukhkNYx48STRSozU1FRoaWkJlniXtkrxnj17ICcnh7lz5woKj61evRouLi4wMTFB586d4evrCyUlpRJ9T3NyctC9e3dBT/nU1FT0798f1tbWfJ/0Dx8+YNiwYTA1NYWJiQmcnJzKJIVnx44dqF69OgwMDKCgoCD4XmVnZ/MrBT5PK/seHz58gKenJ4KCgrB69Wo4OzvDzc2Nv76kpKRg4MCBkJOTg4aGBvz9/eHn58ffV0oi4Ba9x8uXLxEXF8cfp0ePHoWVlZUg4E5PT0eLFi3Qs2dP7Nixg18hKsnUkK8F3CYmJvyEW1l1EBAdS9HR0TA1NYW2tjbq1q2LwMBAPiUiKioKLi4u6Natm8QK8Im2K/rs582bh6SkJKSnp8Pc3Bz9+vVDVlYW32Vh4MCBEtnut7BgWwJ27drFX5Tmzp0LBwcHWFpa8heEV69eYfny5eA4TpArUBrFFe9wcXFBaGgo9PT00L9/f/7AfvHiBVq2bFlsxVDxG8Pk5GSoqqryo22igKVFixbYsmULgMITuKmpKRQVFcsk0B0/fjxf7fz9+/c4ceIEevbsifbt2+PYsWPIzs7GyJEj4enpWeYzEl8yZswY1K5dGxs2bBDccGRmZsLIyAiNGzfmg+sVK1agRYsW8Pf3R2pqKt8iSFZWFmvXruV/9t27d3B3d5do26nKICkpCREREUVGTrdv347OnTsDKGwDpa6ujp49e0JOTq7E/bQ/V1zAnZ2djcGDB4PjuHJpdVVWnj59yrdJ2b17Nzw9PdGyZUuEh4dj1KhRsLCwQKdOnRAfH4+MjAwoKytDVla2XI+Z/Px8mJmZoV27dvxj4nmBNjY2gjaCFWHjxo2wsLBA586d+aWHWVlZ2LVrF+rWrYuWLVsKXn/r1i1oamoK6htkZ2dj/PjxqFu3rkQr9v6soqOjoaKiAgMDA1StWpWvOPvw4UN4eHjAysoKhoaGaNmyJRQUFH4oSCpuECMvLw+dO3eGnp4eNm7cWCT/u1OnTujevbvgZ9+8ecN/3mVF/CZ2/PjxMDMzQ0JCAmbPng0zMzP06dNHMIPp7e0NIoKysjLk5OT4AqDv3r0rk+M3OTkZe/bs4f999uxZPpc9KSkJOjo6gjZXsbGxEsmt/14pKSnQ09Pjl9JPmTIFLi4ukJaWhpmZGZ/jDpS+crTouyH6Tly/fh2Ojo44fPgwdHR0BG034+Li0L179xJfP54+fQoHBwfMmzev2Of/++8/zJs3D97e3hg2bFiputS4u7vzecyi3/HJkycYNmwYHBwcsHHjRv61jx8/RkZGhkQL7om2+e7dO9ja2mLdunWIi4vDhg0bIC8vL5gQys7O5pfrlyStY8aMGahbty7S09Nx8uRJNGvWDK6urnzQ9fDhQwwaNAi2trYIDw/nf04Sq85Ex7qoQr+Pjw/Gjh2LvLw85ObmFhtw79ixA5aWljAyMoKhoWGZrBJZtGhRkYD7/v37MDU1hY2NDd/PuqycPHkS8vLyWL58OY4ePYo9e/agVq1aaNGiBT/4uWrVKjRo0AC9evWSWJvP3bt3Q1NTE3fu3OHPWX/99Rfc3d35HP358+ejQYMG0NLSwpMnTySy3a9hwXYp3b59Gw0aNOArUKelpUFbWxvVqlWDrq4uvyTkxYsXiIqKkuhyjUOHDmHRokX86NyECROgqqoKNzc3wevCw8NhYWHB56YUN5J1/vx5TJs2jc9jEI2oiwfconZJu3fvlnheg+iAnzFjBp8v1KFDB3h5eaFp06bo2rUrateujYyMDDx8+LDMb5TEif+9Tp06BT09Pb4KuojoJPH27VvUq1cP2tra/I33mjVr4OLigs6dOyMtLQ0TJkyArKwsjhw5gnv37uHOnTvw8PAoVV5WZXTz5k0YGhqidevWRUarHz58yH+2derUwbVr1/Dx40cMHjwYampqEqsEKR5wnzx5EmPGjIG8vHyFFN+StCdPnqB79+6oWrUq3N3dBcvhd+3ahTp16vB/961bt5Z5HvT79++Rk5MjWIWyf/9+aGtrC3odi242goODBUWzytvq1auhqKiI1atXF/k+fPz4ETt37oS6ujqaNm2Ko0eP4sSJE2jTpg1sbW358+M///yDkJAQ1KlT55f4TpWE+ICtqGL0ihUrcOXKFcycORMcx2HatGkACgeejxw5gpEjRyIiIuK7azEAwvNwbm6u4MYsNzcXbdq0gbW1NbZu3VokLUY8Raq8JScno0OHDjh69Ci/r05OTrC2tsbu3bvx8uVLrF69GkSEzp07Y/369bC1tYWCggKGDRsGQPLH7+PHj1GzZk3Ur1+fb78XGxuLxo0bIyEhAdra2ggODua/55cvX8awYcPKvbWcp6cnatasCXV1dbRv3x7z58/H+/fvYWpqyv9tJOXy5cvo2LEjnj17htTUVFhZWUFGRqZIasjIkSPRtGnTEtf6ePr0KXR1dQUDHeJE393S3gtkZ2cjKCiI7+IhnkaVmpqK1q1bC9q4ltWxcejQIQwdOhR9+/YVBPL79u2DoqJikYBblJ73NeKTTeL7bWpqyrep27t3L5o3by4IuJOTk9G/f384Ojpi/vz5kvj1+O3HxcVBVVUV4eHhRSaiRGkC1tbWaNSoER/g3717FykpKaUq0iba/q1bt3D8+HG+zahIcQH3gwcPSl2t/3tMmjQJ3t7egsdSU1NRo0YNwYqLf/75p9SdhMSLKfr7+2P58uWC54ODg9G0aVP+36NGjcK8efNKlJ5REizYLqVz587xAerDhw9hZGSEPn364MaNG9DV1YWNjQ3/JZL0co3p06eD4zg+0H/8+DHat2+Phg0bYsCAAVi0aBF69uwJZWVl/uAX7UNaWhpWrlyJBQsWYMuWLQgJCYGioiJfAES8vYeoYrWNjQ0OHjwo0d/hc6dPn0b79u2ho6ODHj168BWUjx49ikaNGpVLBWWRESNGFBnlXb9+PUxMTASPiw5y0Qk0IyMDfn5+goulaHlYp06dEBMTg5EjR0JRURG1atWCnZ0dXFxc+JvH8sjRLmuJiYmoVasWxowZU+xIeUpKCkxMTGBiYiIY0c3MzJR4dVDR91dVVRVVqlQp8zzD8vT48WOEh4fzbYHEzzFmZmbltkTq1q1bcHV1hb29PfT19bF48WKkpKQgPz8f8+bNg5GRkWCWDAC6deuGHj16lPnoenHOnj0LLS2tIjUpAGHKyp49e6CjowOO49C/f3+MGjWKvzjHx8ejWbNm8PX1LZKX/jv4PNg4cuQIFixYgIEDBwrOYUuWLOF7I5f03Cb+vZ43bx66du0Ka2trrFu3jg8Ac3Nz0bp1a9jY2GDbtm1FZmHLarnk1yxcuBBaWlqwt7cXrIL69OkTWrRoAUtLS9SuXRv16tWDjo4O//yWLVugrq6OFi1alMl+nThxAhzHwd7eHu3atcOmTZvw6dMnaGtrg+M4DB48WPD6ESNGlCrA/BbxgOXUqVPYsWMHgMLrwYoVK7By5Uq8efOGv6Z269YNU6ZMkeh5Y8uWLahWrRp/r3TgwAFISUkhKCgIBw4cwPnz5zF06NAfzvP/fB9v3ryJmjVr8vdS4t/TGzduYP369SVeQfDq1SskJCTwA/3nzp2DtLS0oH2o6Di4ePGiRPPcv0R0/Ovp6fGzmaK/yf79+6GiooKuXbv+0Ht+PtmSm5uLvLw8hIeHw87Ojh94jo6ORsuWLeHm5safJx49eoQhQ4bAxMSEz8kvrRcvXsDW1pYP9EXy8/P531UUcFtZWaFx48YSmVEXvffOnTuhpaUFS0tLqKiowMPDAzdv3uQ/60WLFkFOTg6TJk0q9Ta/V35+PgIDA+Hq6so/Jvpeb9y4EQYGBhJPI7tw4QJ69eoFNzc3fkJQvCK5rKwsunXrhi5dukBFReWHBntLiwXbEiD6wLp3745OnTohJycH+fn5aN26NTiOg7m5OXJzc8vkhnLWrFl8/1KgMOCPiIiAvb09nJyc0LVrV35EXHTg3bhxA3p6erCxsUH16tVRq1YtdOzYEQMGDIC8vDzf6ktUOVr0O/r5+Umsj7Xob3HlyhVs3rwZK1as4JcOiWavxY0dOxYODg7lNqN99OhR9OjRo8jo8qZNm1CvXj3BzL7ohLpx48Yi+XTiPx8VFYVmzZqhU6dOePnyJRITE3H48GFcuHChSD/Gn1lOTg4CAgKKLBHOyspCSkoKEhISkJ+fjwcPHpRbkJKYmAgfH58Kr3JdFt68eSOYySsoKMDr16/h4uJSphVlRZKSkqCqqorBgwdj7dq1GDt2LDQ1NdGlSxdcuXIFubm5WLp0KTQ0NGBtbY3g4GD88ccfUFRUrLDPY/369fDw8BDc1B46dAihoaGoX78+hg8fzldv37lzJ6ysrNC6dWv+taKA/NmzZ2XW57gymzBhAry9vQXfuzFjxvDXu8/P00uWLEGVKlX4tjclFRYWhlq1aiEiIgKjR4+GgYEB+vfvzy/pzc3Nhbe3N+rWrVvqvFpJePHiBd/ea9++fYKZOFEBpaVLl2LVqlX8ub+goACfPn2Cv78/X8OiLPTq1QtWVlbo2LEjXF1dsX//fsTGxkJbWxudO3fGlStXEBsbi5EjR5ZpITnx3E49PT1YW1vD0NAQFhYWOHv2rOC1GRkZmDBhAtTU1ErUg7i4bYvfl3Xo0AHNmjXjj+89e/bA3t4etWrVgrm5ORwdHX9o+bjovWNiYviiZADQpUsXaGhoFJk8GDFiBP74448S1TC4desWbGxsYGlpCVlZWUyePBkAMGfOHEhJSWHFihWC19++fRvm5uYSX60g+p1Fq9M+ffqE1atXQ1ZWFhMnTizy+ujoaGhqan73Ut6DBw/CysoKf/31V5GfefDgARQVFTFjxgz+sT179sDKygoDBw4UzOyPHDlSYrO7Fy5cgLW1NS5evFjsfb5ou/n5+Th16hS0tbXh7u7+w9spbsDw6NGjUFVVxapVqwAU3lNzHIfmzZvjypUr/P7Mnj0bampqZdbuVDwdVTRhsmfPHtSsWbNIa7fo6GjUq1dP4hMrq1atgra2NhQVFfHff/8Jnnv79i1WrlwJV1dXdOjQATdu3JDotr+FBds/QPRlSk9PL/IlyczMROPGjfnCXgUFBejXrx8OHjwo0fZexc3sRkZGguM4weglAD5fBBAG2goKCggNDcXr169x9uxZBAUFQUtLC4sXL0a7du3QoEEDPsdVfIZbUvkU4hdXTU1NWFlZwdLSEpqamkWWYp49exbDhg2DiopKuebY5ufn83+zzZs383/369evQ0FBAeHh4YIZsI8fP6JNmzZ80ZHPe2yLiIp3iFdgFN/mr+DTp09wdnYWjBofOHAAwcHBqFatGpSVleHu7l7uy24l9f39GUyYMAFGRkblslTszz//hIuLi+CxnTt3onHjxmjfvj1fgfTBgwfo2bMn/Pz80LNnzwod+Jg3bx5UVVX5GZDhw4fD2dkZdnZ2CA4Ohp6eHrp27YqsrCxkZWUhOjoaBgYG6NChQ4Xtc2Vx5swZZGRk8J+rePA8Y8YMcBxX7CDPvHnzSnWzt3XrVhgYGPADmufOnQPHcTA0NERQUBC/Pzk5ORg5cmS5rxD60vn79evX0NfXh62t7TcDVtEqjwkTJkBHR6dMagCIBpgOHDiAnj174vDhw+jQoQNcXV0RFRWF06dPw8jICHXr1oWJiQkaNWpU5rOfsbGxUFFRwerVqwEUtn7kOI7P9wcKV060b98eenp6Er92iD676OhoODg4CKplv3jxAvfu3UNqamqJBtZ27NgBNTU19OrVi/87xsXFwdnZGbVq1cKWLVuwdu1aDBs2DNWrVy9RECBe2T4+Pp5vb5SWlobc3FxMnjwZHMdh7NixuHz5Ml68eIGwsDAYGBh817LtH3XhwgXo6uryA5a5ublYsmQJpKWlMXXq1CKv/5HBhbi4OPTu3RtVq1aFra0t+vfvj6dPn/KFZUNDQ9GoUSPB/dV///0nCHgBya4gXLlyJapVq/bVyaD379/zAWBMTMwPz+qK9lu81oKosJxoxjopKQkGBgbo2bMnDAwM4OjoiMuXL/M/W1aTVaJ73F27dsHBwQEzZ85EZmYmkpOT0b17dzRt2pQPuHNzczF27FjY29uXyf5s2bIFxsbG6NixY7HHUk5OTpm1K/waFmz/oOjoaFhZWUFDQwPDhg0TFMpxdXVFw4YN+eVG4jnbknD79m1UqVKFX2IlbvLkyZCVlUVUVNQXq1mnpaWhZs2agirQQOGNsaiy94ULF+Dn5wcrKyv+glNcMbbSiomJgbKyMj8aFx8fD47joK+vzwf6KSkp6N27N5o3b16uhZ3EZ2uSk5NhbGwMd3d3PuBetWoVX8Vw+/btOHbsGFq2bAkrK6svzkx/HnC7uroiICCg3HuEl5dWrVrBzs4Od+/exfjx42FgYIAuXbpg8+bN2Lp1Kxo1aoSwsLAKWUL8K9u8eTP69esHVVXVchvMmDt3LiwtLfHu3TtBwLF//37Y2tpi8ODBRWYzKzpVIiEhAS4uLqhVqxYMDQ2ho6ODZcuW8St31q9fD2lpaT6A+/TpE3bv3l2iJY+/EtHstehceOzYMTRv3lywHC8sLAyysrJ8LrA4URXa7yH+XcrOzsahQ4cwe/ZsAIUzJioqKli7di1WrVoFOTk59OnTR9A2Cyi/75n4viYkJODKlSvIzMzkH3/x4gW0tbXRuHFjQfubz89927dvx6BBg1CjRg2JHr9paWlFcjmfP38OU1NTLF68GM+ePeNndQ8cOIDc3FzEx8cjMTGxXFaTLV26FAEBAQAK03709fUFubyi32HJkiWlroIuvqquSZMmfPAJFA4cWVtbo0uXLqXahsiVK1egpqZWpLsKUDi72rt3bxgaGsLU1BTNmjUr0YTCixcvilS2LygoQKtWrXD27Flcv34dqamp2Lt3LzQ0NKCurg5TU9NiJzckJTc3FzY2NjA2NuYHx/Ly8viAWxIrNu7evYuxY8fC2NgYWlpaCAoKwpUrV3D48GHUqVOHT60SV1bng40bN0JeXp7/bha3nSVLlgg+o5IQr7UgKm535MgRvhCqvb09+vTpA+B/qSK2trblMlF14MABVK1aFYsXLxb0Lj937hx69OgBFRUV2NjYwMXFRSL3J6LjOCUlBYmJiYJVkmvXroWNjQ169+4tON9W5IQWC7Z/QEJCAnR0dDBnzhz+BrNdu3Z87s2FCxfQoEEDaGtrw8TEpExOZKIcbNHIlugL9+zZM9SuXRscxxV7YgcKA0d7e3v4+Pjg9OnT/OOxsbFQUlLic1n/++8/dO7cWTAyWVriOeK7d+/G8uXL+RHOtLQ0vvKpaAmgaPlYWlpamS17Kc7+/fvRs2dPtG3bll+GtXfvXjRu3Bienp78RXnHjh2wsrKCuro6rKys4Onp+c2ca/Ebq6ioKDRq1IifAfpVAk7R73H27FlYWlqibt26qFWrFlavXi1Yet+uXTu+bRUjOTdu3ICXl1e5zhpv2bIFVatW5dsAig9WrVu3DrKyskVaBFaG7/ulS5ewcOFCTJ8+HW/evCnSpsnBwUGwMuDjx4/Yt2/fD/XU/ZVcvXoVGhoa/Ln52bNnePr0KapUqQIvLy/BctTQ0FDIysoKqh2X1Pjx47F582Y8fvwYz549w4sXL+Dk5MS3hMrOzoa+vj7q1KlT7Mqisia+rfHjx8PQ0BB169aFlpYW1q1bxy91ffHiBXR0dODi4vLFe4O4uDi+i4CkpKWloUaNGuA4Dm3atMHWrVv5z2rv3r1wcXHB8+fPcfv2bXTo0AFubm6CThllQfQ3E830hoSEwM/PD5mZmdDW1hb0s161ahU/yCIpO3fuxKJFi9CmTRvo6+vD19eXn3k7ffo0TE1NceDAgVJvZ926dWjevDk+fvzI/z6fr7BKSUnBmzdvSlwU9OXLl4iMjBSsgpg6dSo4joOVlRW0tbXh4eGBBw8e4MmTJzh16hSOHDki0RWX4kGMeJqEi4sL9PX1BQH3smXLwHEcf/yWdrufPn3CtGnT0LJlS3Ach5CQEHAcBycnJ8Hqw7L06tUr1KlTB+3bt+cf+7xIY//+/TF16tRSBXzitRZ8fHwEhWd3794Ne3t7/vp08OBB+Pj4wMbGpkxbbBYUFODdu3do27ZtkTQB0e/66NEjHDt2DMOHD8eCBQtKvWLn87ZiGhoaMDQ0RJs2bfhZ66ioKDRs2BB9+/atFJ1nWLD9FZ/n89y9exf9+vXj/33u3Dm4urrC29ubzw/Lzc3FzZs3JVJI5Es3DH379oW8vDx2797NP/bixQsMHjwYERERX71Qi6oze3h44Pbt23j37h1q166NUaNGCV53/Phx9OjRQyIH6ec54mpqavD398ejR4/w9u1bODo68qPYoqWBSkpKRfK1ytry5cuhrKyM7t27w8HBAUpKSnwl0h07dvABt2hWJz09HWlpaUhOThZcYL5G/DP18vIStEX6WYkvyRH//TIzM3Ht2jXBYElBQQFyc3MREBCAMWPGVPgM56/o84t8efDx8YG2tjafXiOeC21mZiaohFrRvhWIffz4EW3btoWvr2+lGBSoLFJSUmBpaYnly5dj+/btcHBwQF5eHh48eIAaNWqgVatWgoA7PDwcHMcVW4Tua8RvRg8ePAgFBQVBLYy7d+/C0NAQhw4dAlA4iBwUFIQ1a9ZU6MzF1KlToaGhwQdpbdq0gY6ODubOnYunT58CKLxOy8rKCu4jPifpdJeUlBTY2dnByckJtra26NOnD3R1dbFs2TJs3boV3t7e/IRBfHw8WrZsibZt25Z5LYIDBw5AVVUV58+fx7Fjx+Dg4AAVFRX+XkD0WYaEhJQ4j7k4Fy5cAMdxfA7ztm3bMHDgQMjIyKBLly4ICwuDl5cXP3DzLZ9/58T/PWPGDGhqavIre8TPJ5K8vxFvlbV582ZwHIctW7bg1atXiImJgZ2dXbH50iX1+ZJsoPD3Ea3kFP2eOTk5cHFxEaR/5OXlISoqSiL1WsT/np8+fcK2bdvQvn17yMnJoUmTJuV2/s7JyUFERATk5eXxxx9/CJ57//49xo0bBx0dHYkM1IrXWnBzc8P69esBFLaZ1dTU5AdRwsPDMXHixHK5x/r48SPq16//xQGUslgdExMTA3l5eSxduhQnT57Ezp07YWRkBHt7e/4+fPXq1dDX10dISEiF3BeJY8H2V4gO1OPHj2P06NEIDg4uUvTp7NmzcHFxQbt27b7YyqE02z5//jwWL16MefPm4cSJE/zzwcHBkJOTw4oVK3Du3DlMnjwZDg4O35WLcPfuXbRu3RpNmzaFqqqqoIWGeLAoiVHBz3PEz507h6CgIGhoaCAuLg7nzp2DnZ0dv9Tj8uXL6Ny5MwIDAyVSAOV7RUVFQUZGBvv37wdQePGaOnUqFBQUcObMGeTn52PTpk1o0qQJWrduXexgyvfe6Ik+20GDBqFLly4VfhIojUePHsHf31/w3fza3yE3N5fvSVyeny8jGYmJiRg+fDg6d+6MGTNm8DdQDx48QKNGjaCvry9Infn48SPfyq+yEh2PmZmZOHPmDFq3bg1LS8si9S5+d69fv8aIESNgaWkJjuOwbt06/rkvBdyTJ08u8U31mjVrsGLFCr5Fj+hzun79OszNzTFu3DgcOHAAXl5e8PLyElT9LW9xcXFwdXXF3r17AQD//vsvlJWV4ebmhurVq2Pu3Ll4/PgxgMKChuW9j3fv3kWHDh3Qvn177Ny5E7t370azZs3Qvn17cBwHBwcH/jqUmJhYZulNos/o4cOH6N27N5+TnZKSAh8fHxgZGfHBw7NnzzBu3DjUrl1bYoU04+LisGrVqmID6fPnz6NXr15wcnICx3HQ0dH57nughIQEhIWF4cGDB4LPdteuXdDX18fOnTv5ezNRPZiOHTsWaU8kCSkpKUU6brRt25bvNFNa4rnDohZ/nz59grGxMczNzfnvjvh5tX79+mjcuHGZTKB8HlC/efMGCQkJ/OcgifN3cYMLIqLBsZcvX2L06NGoWrUqLC0tMXXqVIwYMQK+vr6oVavWD690/XxbX6u1sGvXLmRkZEBTUxOGhoZo0qSJoAtRWRD93fPz8/H8+XNYW1vzAzriccSdO3cQERFRqhWqxbUanjZtGnx9fYu8Tl9fX1BbZdOmTRJvVVwSLNj+hn///Rccx6Fly5ZQVlaGqqoqNm3aJHjN+fPnYWlpia5du0ps9BUonE1VVFSEh4cH6tatC3NzcwQGBvLPh4WFQUlJCXp6eqhbt+4PHcx3795F8+bNoaury1cfB4rO5pfGl3LEd+3ahWrVquHChQvYtWsXqlSpgpSUFL4wjJ+fX7kWs7p06RIUFBTQvXt3weM3btyAmpoa3x81Pz8fmzdvhqurKxwcHErVC/rFixdo0qSJIJ/kZ/TgwQM4OTnBy8uLz7X/klWrVqFfv34luvAwFS8+Ph7Kysrw9vZGQEAA1NXV4ezszFfZjYuLg4uLC5SVlbFkyRJs2LABoaGhUFNTK3WeZUkUV2viSzdeoqWITZs2hY+PD3/++RW6A0jS8uXLwXEcTExM+GJWIqKA28vLq9TB0YsXL2BgYACO4zBixAgAws9x+vTpMDExgb6+PpydnfnPq7xmsvbt2yfISX/48CE2btyI7Oxs/Pfff1BXV8fSpUsBFPaK1tPTw+TJkwWDtOUdcCcmJqJ169bw8PDAnTt38P79e5w7dw7e3t58gFsef78LFy7A398fDg4OgqDw2rVraNeuHfT19aGrqwsnJyfo6upK7FqRmpoKOzs7KCkpITIyEsD/AiXReSEzMxNpaWkYNWrUd9eJyc7Ohr29PTiOg5GREYYNG4YtW7bwz7dt2xaGhob8TPOrV68wbtw41K1bt0wK4IkTVbbv2rWrRPKkRX+nmzdvwtjYGL6+vvyqiNTUVFhaWsLBwUEw4FpQUICuXbuC4zjY2NiUuK1ZSUjiGPt8cEH8+yh6/3v37mH9+vXIzc3F7t270aJFC5ibm6Nhw4YYOnToD08siLfo/VqthefPn6NDhw5o0qQJ9u3bh2fPnmHUqFEYO3ZsmXV6EZ0jPo91Zs6cCRkZmSLpF2FhYXBzc+OLkf6o/fv3g+O4Im2He/XqBWtra/7fomv1+vXrYWZmJrHOSZLCgu2vSElJwZ9//olly5YBKAzK/Pz80LRpU2zdulXw2osXL0r0w7137x60tLT4HtoZGRlYtWoVzM3N+aXNQGEBjqtXr/Kj5j+6DU9PT7Rq1eqbgVJJfC1HXFlZGVevXkVBQQEaN24MeXl5ful2WVc+/VxSUhICAgLQtGlTLFy4kH989erVUFJSEpwo8/PzERUVhf79+5d6xLQiKiKWBVFqwuffI/Ebt1u3bqFjx47o3bt3ufY2ZCQjJycH3bt3R+/evfnHUlNT0b9/f1hbW/MzRR8+fMCwYcNgamoKExMTODk5VcjAivix+ebNm+9aEnvhwgUcO3bsl2rDJymiY3nhwoVYsGABevXqhSZNmvDXJ5GkpCRwHIeOHTuWeMBUvHNGs2bNYGRkxC/DFn/P+/fv4969e+X+eZ0/fx4cx0FLS0sw4CCauenduzf69u3L709QUBAMDAzQqVOnCk9LuHv3Ljw8PODh4VEm1/zvceLECb491ee54Q8fPsTZs2cxY8YM7Nu3T1BoqbTevn2LOXPmwMDAAG5ubvzjkgjIZs+ejT///BNHjx7FpEmToKysDH9/f35ApmPHjmjYsCGqVauGRo0aQV1dvdzOi5KubJ+QkABVVVWEhYUVue98+PAhzM3NYWtri7S0NP77PmbMGFy4cEGiBYPLw9cGF8QLdNWpU6fI8vHXr1/zbYBL4kdrLTRr1gzbt28v6a/6Q/bv3w83Nzf4+Phg0qRJ/Hm5X79+4DgOI0eOxNixY9GnTx+J3NP36NEDqqqq+Pfff/nHDh06BENDwyJ1Qfbt2wc9Pb1KV3yYBdtfkJCQADMzM0FuGFAYcPv7+8PFxaVMv9gxMTHQ0dERBPDv3r3D0qVL0aBBA4kVLrt79y68vb3h6OgoqKwuKd+TI/7u3Tv+YiXpno/fIjphPnjwAL1794ajoyM2bdqEAwcOoFq1atiwYQP/OtFJ83tmyn43Xwq4gcK/UUhICAICAoptXcf8HNzd3dGrVy8A/zsGnjx5gmHDhsHBwUFw0Xv8+DEyMjIqpAe1+PEZEREBR0dHmJiYwN3dHefOnfuumRV2XEPQKeDzWYyUlBQEBAQUG3AnJyeXOEVk+vTpmDhxIr+kOS4uDg0aNICVlRWfl1pcEF+en9eRI0egpqYGb29vuLi4CNpT5ebmom3bthgyZAi/n507d8aFCxfKpKtHSYifq8UHwctTbGwsHB0d4ebmxq8ck7Ti/s7v3r3D33//DQMDA0FKYGkD7pMnT0JZWZlPq3ny5AkmT54MaWlpeHh4YOnSpYiKisK2bduwe/duiQ4ifElZVLbPysqCn58fBg0aJHg8JycHaWlpSElJQWpqKpo0aQJDQ0OEhYUhODgYampqP12gLfK1wYVXr17B0tISvXv3Lvb+sDRKUmvB29u7VCsuv8e5c+cgKyuLUaNGoWPHjrCzs0Pbtm35892iRYvg4eEBJycndOnSpVSrN8X/lv369UP16tX580Vqair8/Pzg5eXF36fn5OQgLCwMdnZ25dJF4UewYPsL4uLi0KdPH1SvXh3z5s0TPHf58mV07doVlpaWRZZ4SMqtW7ego6NTZElGeno6lJWVJZoDmZCQAD8/vzK7AHwtR7wyFMj6POC2sLAAx3FYs2YNAOGMSUXfKFVmxQXc2dnZGDRoEDiOqxQVIZmSyc7ORlBQENq3b4+PHz8KBp9SU1PRunVr+Pj48K+vDMfJpEmTUKNGDSxevBhRUVFwdnaGgYEBtm/fXinOO5VVbGysoEXXgQMH0KFDB3h5eWHz5s18ETxRwO3s7MwvmS6t2bNng+M4zJ49WxBwW1pawtramg+4K/r71b59e9jZ2WHIkCGws7MTdAAZPHgwateujYCAANjb26N+/foSzR+VhLIeZAeEKWl37tzBmTNncO7cOf5zjYmJQePGjdG+fXu+wKzo5ySxbaCwJ/ysWbMQGhrK36R/+vQJixcvRoMGDQQrdUp7Thg1ahS6devGr1jr3LkzTE1NERgYCHd3d0hJSfEpN+WhLCrb5+TkwNnZGYsWLeIfO3ToEIYNG8anNLZt2xYfP35Ez5494eLigiZNmvy01/4vDS7k5ubi8ePHOHLkCJ+CURbXlMpSa0EkLi4O69atw9y5cwH8ryidtbU1PD09+YFs0SB7aVMGROfLM2fOYPv27ZCRkYGmpiY/w33jxg34+/tDT08P9erVg5ubW7m2Pf0RLNj+ioSEBPTr1w86OjpFgtvz588jKChIIkvHi7u4PH78GPb29ujSpYsg3/HTp09o0qRJkbzx0irrIl1fyxGvDET7kZSUhD59+qB+/fp8+gBQOQYFfgbiAffJkycxZswYyMvLV8qTH/N1r169QkJCAr/88Ny5c5CWlsZff/3Fv0Z0Mbx48SI4jiv3FBBx4gVbHj16BEtLS37EW8TPzw/6+vr8wGJlOf9UFkeOHIGhoSHfoubSpUuoUqUKhg4diiZNmsDa2hpDhw7lK96mpqaiZ8+esLCwwKpVq35oW18KPP/++29wHIeZM2cKAm5ra2toaGgU6dlenkT7c/z4cQQEBGD//v0IDg6GtbW14HoxbNgwBAYGolevXt9sCVlRynqQXXRs7dixA7q6utDS0oKuri5MTEz4lQ8nTpxAkyZN4OfnJ1giKgk7duxAtWrV4OrqikaNGoHjOAwfPhzPnj3Dx48fsWjRItja2qJTp04S2d727dvh5OSEvLw89O7dG3Xq1OFbMN67dw+LFy8u15aMgOQr2799+xampqYIDg5GQkICIiMjYWJigo4dO+Kvv/5CVFQU9PT0MGXKFACFqXIVebyW1tcGF6pVqwYzMzO0aNGCf64srieVpdZCamoqbG1toaqqKrgH+PTpE7Zv3w4bGxu0adNG4jn5u3fvhoKCAiZNmoSBAwfC1dUVSkpK/Kz+o0ePEBsbi9GjR+Pvv/8u8zoIJcWCbQgDrWvXrgmWPdy6dQuDBg0qtiBMab5UomIBolnT48ePY/z48QgPD+fbbcXGxkJNTQ2dOnXC1q1bER8fjzFjxqBmzZqC/q8/i7LOES8t8e9B79694eTkJFgiyHwf0ayJqqoqqlSpUqQyKlP53bp1CzY2Nnxupajn/Jw5cyAlJcW3zRG5ffs2zM3Nyz0NROTzwC0zMxOampp8CpB4fQRjY2OMHDmyXPfvZzJ48GDY29tj5syZmDhxIl8NHChsZeTo6IjBgwfzAXdSUhL69etX4mtScQHIokWL+IBbdJ29fv06AgMDyz1oPXToEL9UXnS9Tk5ORv369REVFYXXr18jODgYNjY2ghl+8e9kZc3/L4tBdvHg6uzZs6hWrRpWrlyJhIQEnD17Fh4eHlBXV+cnEU6cOAFzc3MEBARILDC7d+8edHR0sHLlSv66vnnzZtSoUQOjR48GUDj7NmvWLLi4uPC90EvL1dUVUlJSqFu37k87m/stx48fh4yMDHR1daGkpIRly5bxLa1ycnLg4eGBgICACt5LyfiewQUjIyO+iGNZqQy1FkQ1DwwNDeHp6Sl4Ljs7G9HR0dDX14efn1+JtyGerlRQUIDMzEw0atRIkHb65s0bBAYGQklJSZDiW9n99sG26ES8a9cuWFhYQFNTE46OjoLK1Ddv3sSgQYNgYWEhkeBry5YtkJKS4qsF7tq1CwoKCnB1dYWpqSkUFRX5JU+iXt5aWlowMDCAiYnJTz1LWB7L177k89G/4kYDxZeUBwcHw9DQENHR0eWyf7+SxMRE+Pj4lPtIPlN68fHxqFGjBkaNGoX4+HjMnTsXHMchLS0Nubm5mDx5MjiOw9ixY3H58mW8ePECYWFhMDAwQHp6ernvr/hxHBQUxC9nF93Ai4gCCx8fH0EqC1NIfBZs2LBhcHJyQv369YsUsZoxYwYaNWqEoUOH8rOiJQ0mT548CY7jBJW9RWbPng1ZWVksXry4SAum8gq4z5w5A47jwHEcunTpgokTJ/JtZKKjo2FnZ4enT58iMTER/fr1g52dHf78889y2bfK6PLlyzA0NORX/C1btgwtWrQQfF7v3r1DixYtYGVlxX/nYmNjSzWB8Pz5c1y6dIkf2L116xYMDAxw/fp1wflh48aNkJKS4nPVMzMzJZLbKdrGgQMHYGxszKcX/qorZ9LS0vhzv7j8/Hz4+/tj/PjxEu1sU5G+Z3BBvGhxWSnvWgtfq3lgbGwsSMEACq+ve/bsKXGbrcjISHTr1o0vhgkUBtYmJiZ83CUawHz16hXfavTzVNvK6rcPtoHCkWslJSUsXrwYjx8/xsKFC8FxnKAv4a1bt9CjRw/Y29uXuuhPamoqPDw8oKGhgYSEBEyZMoVfgvfs2TP07t0bCgoK/LKq169fIzk5GdeuXSu2v/PPpqyXrxVHfJbh1atXX60ELp5nNmPGjEq3/O9nUZ7t2xjJePHiBVxdXTF06FD+sYKCArRq1Qpnz57F9evXkZqair1790JDQwPq6uowNTWFpqZmhQwCit8QJCYmwsnJCYcPHwYAbNu2DQYGBhgzZozgZxo1asT3A/3dFbeUW5STPXbsWFSvXh2BgYHIzMwUvGbOnDkwMTHB6NGjBYXUvuXp06e4efMm/vnnH9y6dQsZGRmIjIyEnJxckSX/iYmJqF69+heD8fIQExODDh06wNLSEh07dsTw4cOhqqqK6dOn46+//kK3bt1w7NgxAIWrOzp16oSgoKBfIsj4UdevX4eSkpJgIGvy5MmoXbs2/2/RoMzhw4ehr68vkcHY+Ph4NGnSBJ6enujQoQPy8vJw+fJlVKlShS8kK74K0cLCgs85lbT09HQYGRlh/PjxZfL+lVl2djbGjx9fLi3NyltlGVwor8mq76l5ICoMV1qia9CBAwfAcRwGDBggCLh9fHzQtGlT/twh2rfu3btDRkYG2traEm25XFZ+u2D76NGjgmp9z58/R7t27fiT7/Pnz6GtrY02bdpAV1cXbdq04V8bHx8v+BL8qOPHj/OB26NHj+Dp6YkaNWqgSZMmggIhHz58QJ8+fSAvL48jR46UeHuVWVnniH/JpEmT4OrqCgsLC2zfvv2LgxefnzRZwM38Dl6+fInIyEjBzdLUqVPBcRysrKygra0NDw8PPHjwAE+ePMGpU6dw5MgRfklxRYmKioKXlxcCAgL4i/KrV68wb9481K1bFy4uLggODoazszPq169faZf1VoS7d+9iwIABAArzTo2NjfnPc9SoUbCyssL06dOLVLldsGDBD81GRkdHo02bNlBXV4eSkhLk5eXh4+ODy5cvY/78+ZCWlhYE3MnJyQgPD8e2bdsq9PM6ceIEAgICYGNjgytXruDo0aPo168fzM3N+bY84m2AJF2V+Gdw48YNKCgoIDw8XPD4uXPn4ODggFmzZgkGXy9fvgxdXV3cuHGjVNuNi4uDiooKwsPDkZqaKhg88vf3h5mZGZ+WBxTed9ja2hZJg5Gkf/75B4qKirhw4UKZbaOy+eeffxASEoI6der81Csvf0RFDS6U12RVedQ8EB2vt2/fxv379/Hff/9BSkoK/fv3569Bu3fvhp2dHUJCQgTH95AhQ/Dvv//yg8OV3W8TbOfn5+PUqVOoVq1akQ9n+fLluHbtGp4/fw4LCwv0798f2dnZmDBhAjiOg4uLS6m3Hx8fD47jMGLECP4L8/DhQ/zxxx/gOI5fCiF6Lisri+9Zd/LkyVJvnym8IdfQ0MCCBQvQuXNn1KhRA1OnTq3wQIFhKhNRxWegMM+R4zhs2bIFr169QkxMDOzs7CrVzPCbN28QEhLCB9Xi3r17h7Nnz6JTp04IDAzE0KFD+cCNDaAVOnToEDiOQ8uWLcFxHNatWyd4fujQobC1tUVERESJ28qsWLECqqqqmDt3Lo4dO4aMjAxMmTKF78d+4cIFzJkzBxzHYdKkSdi2bRu8vb3h7e3Nv0d5B9ziwfKJEyfg6+sLGxsbfjY2MTERISEhxQaMlaXqeHlIS0tDzZo1i9x0L1y4EMHBwejTpw/c3Nwwc+ZMAIVLt8eNG4f69euX6kb51atXcHZ2xpAhQwSPi1cw9vT0hKmpKY4fP45Tp05h/PjxqFmzpiAAl7RHjx6hWbNmla7Pb1lJTExEs2bN4Ovry6dG/uoqenBBkpNVxQ0KlkfNA9Fxeu3aNSgoKGDhwoUAgH///RdSUlLo27cvMjIykJOTg9mzZ6Nhw4ZwdHREREQE/vjjD1SvXp1fzv8z+G2CbRHRTOaDBw/4ImUiUVFRaNWqFZ93uG7dOjRu3Biurq6lqjou+rJu2rQJVatWxejRowVtc9q2bYuaNWsiISFB8PoPHz4gJCSEf5z5MZ/f8KxatUpQVX7mzJnQ0tLC5MmTi/RPZBimcKbu8wJ3bdu2FaTYlLfiApkHDx5g7NixkJOTQ0RExDffg81sC40ZM6bIwLL4Dd3QoUPh6OiI8PBwwWDM91ixYgWqVKlSbO2LrVu3okGDBnBxccGrV6+waNEiaGlpwcTEBC4uLuWailJcH2zx/4+JiUH79u1hY2PDFymqbC29KkJycjLs7e3h4+PD/10iIyOhqKiIa9euISMjAwMHDoSpqSmqV68OR0dH1KxZs9RBSnx8PAwNDRETE/PFv/+FCxfQrVs3VK1aFfXq1YO5uXm5BEdfS1P7FT179qzU6ZU/i19pcEF03JR3zQPRdq9fvw4FBQWEhYUB+N/59vjx45CSkkKfPn2QmZmJnJwcHDp0CJ06dYKjoyM8PDx+ugKEv3ywXdyoTXJyMjiOw8SJEwUniNGjR8PQ0JD/95gxYxAaGlqqCpnTpk3D2bNn+X9v2bIFMjIygoD70aNHaN26NWrVqsUH1r/zxVsSxD/3zZs3Y86cOejYsWOR3L9Zs2ZBW1sbU6dORVpaWnnvJsP8NAoKCvDp0yd07doV06dPr5B9ED8vxsfH4/z583xqT0ZGBkJDQ2FsbIzZs2fzr2O1A75t8eLFCAkJgYqKCgIDA/nHxXNd+/fvDxcXF7x8+fK731dUAE3UCkiU1yg+2LFo0SJUrVoVO3bsAFB4fX78+DH/WZfHwMjYsWOxffv2YpeAfx5w+/r6omHDhnzO5O+0XPxLRMWbfHx8EBwcjNq1a/O1E4DCm/J79+5h4cKF2LZtW4mLKInbuHEjZGRkBC3/RESDIB8+fEBCQgJevHiB1NTUX6LmDVPxfoXBBdHxUt41D0Tb/VLqyYEDB/Dx40ccOXIEUlJSCA4OFgT0WVlZFZaGWhq/dLAt+lA/fPiAFy9e4OTJk/yS4RUrVkBaWhrTp09HRkYGgMILab169eDq6oouXbqgWrVqJR65El0A3Nzc+FZi4ssxvhRw161bl1VwLiXxm5+wsDAoKCjA1tYWHMehVatWRdoTzZ49GzIyMkV6qTMMIzRhwgTo6OhUSAEc8eN63LhxMDY2hoGBAfT09DBy5Eg8ffoUjx8/RlhYGExNTcusCNKvbN++fXxRNHGivsjPnz//ofe7e/cuXFxc0K5dO/z333+C58SDI0tLS/Tv37/I4+Ux6Pz+/XuYmJigSZMmOHDgwDcD7lOnTsHPzw+amprsWi3mzp07cHd3h7y8vODYK6t0jdjYWMEgTXEWLlwId3d3iff+ZZifmeh8VlE1D76UejJt2jRoamryMdOhQ4cgJSWFgQMH/vSTYb9ssC360ty5cwfdu3eHqakpqlatCiUlJXTt2hXp6enYunUrOI5DREQE3r9/j6ysLGzevBkdOnRAly5dcPPmzVJtW9yJEydw+vRp/sLzpYC7cePGqFevHpuNkYCrV6+iW7du/AzE33//DSsrKwwePLhIrseGDRtYDifDfMH27dsxaNAg1KhRo8IL4MybNw916tThi0oGBgaiRo0a/HGempqK8PBwqKioYOPGjRW5q5WS6EbrypUr2Lx5M1auXMlXG8/Pz8e+ffugrKyMgIAAPHv2DBMmTICFhUWRtKvv9aWWNaL9ePv2LYyMjDB16tRS/mY/TnTtzcjIgKurK5ydnbF3795vBtxHjhxBeHg4u2Z85v79+/Dw8EDr1q2L/awl6dGjR6hduzZ8fHwEaX7i2xo5ciTCwsLY6gOG+UxF1jwoLvVkxowZqFmzJt+FSXRuFdUUGTp06E99vv0lg23xZQoaGhro378/1q5di4SEBISGhkJfXx8mJiZIS0vDpk2b+IBbfPSzpCOhom0nJydj+fLluHTpEgDA3t4etWvXRmxs7FcD7idPnvz0IziVwdatW+Ho6Ag3NzdBW4DFixfDxsYGgwYNKra4ws98MDNMWYmLi0OnTp0QHx9fYfuQn5+P3NxctG/fHosWLQIA7N27F9WrV8eyZcsA/O+8nZKSgqVLl7Lj+TOioCM6OhqampqwsrKCpaUltLS0cO3aNf41hw8fhoqKCurVq4fatWvj8uXLpdqueMAturkS7cu1a9fQrFkzvvNGeQZG4gPjCQkJMDMzQ8uWLb9rhluEfceEivusy0p0dDTk5OQQGBgoODd9+PABY8eOha6ubpGVbAzDVHzNg89TT2rVqiVIPRGvXXXjxo2fPj/+lwu2P88HGDt2bJGcL1FRFgcHB3z69AnLli2DrKwsxo8fzy8pL822b968CWNjY/j6+goarjdp0gSGhoZFZrjl5eUxcOBAlqctQStXroStrS1q1KhRpMDc33//DTs7O/zxxx+/TcVQhimtil5tk5OTg9zcXNjY2ODWrVt8dwnxQHvRokV8npnI7xwMFXdNiYmJgbKyMlatWgXgf50y9PT0BLORz549w549eyR2jhQPwkRLynNzc9GmTRt4e3tX6PVvxIgR+OOPP9CgQQMoKCjA3Nz8iwE3823l1Q84Pz8fy5Ytg4yMDExMTBAUFIQBAwbAx8cHtWvXrvBVOAxTWVWGmgfFpZ6I9ysfN24cNDQ0foo+2t/yywXbwP/yAfz9/fnHPi/KsmLFCigqKvK5B9OnT4eqquoPFX8pTkJCAlRVVREWFlZshevGjRtDV1dXEHCvXbsWNWvW/Gn6xVU2X7oR2rZtG+zs7NC2bdsiuXWzZ89Gz5492QAHw1RSolVBAPDXX3/h2LFjAIAOHTrA2NgYioqKWLt2Lf+a9PR0NG3aFMuXLy/3fa2MROe2tLQ0rFy5EgsWLMDu3buxfPlyfsl2WloadHR0EBwcDG9vb2hoaJRpcCQKuNu0aYMzZ86gQ4cOMDMz4wdyKuJ8vHLlSqioqODq1atIS0tDamoqrKys0LBhQxw8eJAF3CVUXv2AgcIZOD8/P9jY2MDZ2RmhoaEVUleCYX4WlaXmgXjqiXhdjwkTJqBq1aqC+4Cf2S8ZbIvnA4iP1APCC6arqyvat2/P/7skJezFZWVlwc/PD4MGDRI8npOTg6SkJL64jKenJ3R0dARLykvav/R3J35zlpSUhKSkJMGgxbp16+Dm5gZfX98iS2CLG9FjGKbiJSYmwtjYGIMHD8bw4cMhIyPDH7+nTp2CjY0NrK2tARQexxkZGWjdujWcnZ1/65lsEfEVXnp6erCxsUH16tWhpqYGf39/PHr0CG/fvoWjoyP69u0LADh37hw4jkP16tXLPOD28vKCrKwsTExM+EC7otqxhYaGokWLFigoKOD/bq9fv4aJiQmsra2xf/9+9p0qofKsGsyu4wzz/SpTzQPxVU9Xr17FrFmzULVq1VKnL1UmUvQL0tPTo40bN1JOTg5FRETQmTNnin2dlJQUKSgo8P9WUVEp1XZlZGQoPT2dTE1N+ccOHz5MY8aMIWtra2rYsCH5+/vTv//+S2ZmZtSmTRu6dOkSERFVr169VNv+HRUUFJCUVOFXeNKkSdSpUyeysbGhgQMH0sqVK4mIqHv37tSzZ096+/YtTZo0iW7cuMH/PMdxBIB/D4ZhKgcNDQ0aPnw4bdq0iVauXEnXr18nMzMzIiJycHCggQMHUnZ2Nunq6pKbmxt5enpSeno6nThxgqSlpSk/P7+Cf4OKIzov3rx5k5ycnKhz5850/PhxOnz4MLVr147OnDlDb968odu3b1NeXh4NGTKEiIhkZWWpU6dO1K5dO1JVVS2z/atXrx7NnTuX+vfvT3FxcSQrK0t5eXkkIyNTZtssjug7kpOTQ+/fvyeO40hKSoo+fvxIqqqqNHPmTIqPj6dx48bR+fPny3XffhVVqlQpt21xHMf/P4By2y7D/Iw0NTVp6dKldPjwYZowYQLdvn2biAqPo6ysLAoPD6cdO3ZQUFCQ4NgqC/Xq1aOFCxeSrKwseXp60vjx4+nMmTNka2tbptstT79slCH68DiOo4iICIqNjSWiwi9SQUEBPXr0iOTl5cnDw4OICk/Opf1Cffz4kV6+fEk3b96kxMREmjFjBg0dOpQePnxI06ZNoylTptClS5coIiKC/v33X7Kzs6OaNWuW+nf9XYmC5MmTJ9OSJUto8uTJdPjwYcrLy6PJkyfT/Pnzieh/AfedO3do69atgvco65MIwzA/BgBVr16d1NXVCQDVqVOHVqxYwT9ftWpV6t69O+3fv5969epFzZs3p+DgYLp06RIfuElLS1fgb1CxpKSk6OHDh9SiRQvy8vKimTNnkqqqKjk6OpKPjw9lZmbShw8fKD09nW7evElKSkoEgPbs2UP5+fkUFRVFJiYmZbqPpqamtHDhQpKRkSm3QLugoEDwb9F3pFu3bnT58mWaOXMmERHJy8vzr+/QoQM5OjqSo6Njme8fUzri13J2XWeYb2vfvj399ddftHnzZurQoQP16tWLBg4cSF27dqWoqCjatWsXGRsbl8u+iAZhHR0d6dq1a79UoE1E9EsuIxf3pbYjoaGhsLKykniBrOPHj0NGRga6urpQUlLCsmXL+KrXOTk58PDwQNeuXSW6zd/Z6dOn0aBBA/6zPX78OOTl5eHh4QF9fX0sXLiQf+2///7LlgMyTCX1+TLQJ0+eIDExEX///TcsLCz4Psxfw47vQl9KpYqNjYWysjKuXr2KgoICNG7cGPLy8nBwcICSkhJfkfxXI74McuPGjZg6dSq2b9/Od/6YN28eqlSpggkTJiApKQnJyclo06aNoB0Z+24xDPMrqkw1Dyq6EGtZ4YBff73NvXv3KCQkhADQjBkz6OjRozRt2jQ6c+YMWVlZSXx7Dx8+pOfPn5Ourq5g5rqgoIC6dOlCJiYmNGXKFCIitoS5lN6+fUsLFy6kUaNG0ZkzZyggIIAiIyPJ09OTvL296dGjRzR48GCaNGkS/zP5+fm/9cwXw1Q24ikh58+fJxkZGapTpw5pa2vTq1evaP369bR69Wpq2rQpLV68mIiIRo8eTW3btiVXV1eJrEz61YiuewUFBbRgwQLS0tIiIyMj6t69O82ZM4eIiDIzM2nZsmUkIyNDXl5e5TaLUZ7EvxuhoaG0evVq0tTUpKysLLKwsKCZM2eSsbExrVixgkJDQ0lBQYE4jqNatWrRxYsXSVZWln2/GIb5pYlfgxnJ+y2CbaLCG48RI0bQxYsXKSMjg86dO1euyxRycnJo2rRptHr1aoqJiaF69eqV27Z/FVevXqXHjx9TVlYWde7cmX88JyeHqlSpQt26dSNtbW2KiIggGRkZCgwMpMTERDI3N6c1a9awmyWGqeRCQ0Np5cqVpKSkRFlZWbR582Zq2bIlvXnzhtauXUsrV66kWrVqkby8PN26dYtSUlLKPdf3Z3Lv3j0aOnQoZWVl0c2bN6lHjx58es3vNuh48+ZNioyMpNGjR5OtrS1t3bqVoqKiCAAtXLiQ6tevT48ePaKEhAQiImrevDlJS0tXSD45wzBMeRIfUGSDi5L32wxjVGQ+wIYNG2j06NG0cuVK2r9/Pwu0S2DNmjXk7+9PQ4cOpYEDB1LLli3556pUqUI5OTkUHx9Pubm5JCMjQ1lZWZSbm0vDhw/nA+3fZFyJYX4a4sfk5cuXKTo6mvbt20cbNmwgf39/atOmDe3YsYNUVFSoV69eNHXqVNLS0qK6detScnIyycjI/NbF0L6lXr169Ndff5G0tDRVr16dfH19+ed+p1mMLVu20ODBg+ndu3dUv359IiLq3LkzDRgwgDiOo6FDh9LNmzdJS0uL3N3dyd3dnS+0xwJthmF+dazmQdn6bWa2RXJzc0lWVrbctnfnzh3q378/qaqq0vTp0/kLPfP9li9fTiEhIbRu3Tqys7OjPXv20OjRo2nWrFk0evRoys/Pp7y8PBo3bhzFxMRQ48aN6datW/Tu3Tu6ePEiSUtLs5E6hqnE/vzzT8rLy6OPHz/yKR/Z2dk0duxYWrx4MW3evJk6duxY5OfYrOP3uX//Pg0ZMoQA0IQJE6hJkyYVvUvlat68ebR27VrKyMigK1euUJ06dfjndu3aRStXrqT09HSKjo4mfX39CtxThmEY5lfz+wxt/7/yDLSJiExMTGjr1q20Zs0aFmiXwO7du2nAgAG0Y8cO6tKlCxkZGZGXlxfJysrSy5cviaiwqqycnBx169aNnJ2d6fr161SnTh06f/48SUtLU0FBAQu0GaaSysrKopiYGAoLC6Pk5GQiKpzxlpOTo5kzZ9KQIUMoMDCQNm3aJPg5ACzQ/k5GRkZ8a5VRo0b90q2sips/GDlyJA0fPpxUVVVp6NChlJaWxj/n6+tLAQEB1KxZM9LV1S3PXWUYhmF+A7/dzDbz88jOzqZhw4bR0aNHKSQkhEJCQoiIyN/fn6Kjo8nV1ZUfwBg+fDhpamqSoqIi5efnk5SUFHEcx2a+GKaSKW6VyaNHj2jKlCm0efNmOnr0KDk5OfGvy83NpQEDBtD9+/cpJiamYnb6F5GYmEgTJkygefPmkY6OTkXvjsSJF/l59OgRycjIkJycHN83/O+//6atW7eSjo4OzZgxg7S1tb/6HgzDMAxTWizYZiq1p0+f0qxZs+jChQvUuXNnio2Npbt379KkSZNIR0eHjhw5QkeOHKGUlBTKyMigVatWkb+/PxGxIg8MU9mIBzKZmZmUlZXFL+l9+/Yt9enThw4fPkzHjx8ne3t7/hgW9c5mx3PpiQpK/mrEv1tTpkyhw4cP0/3798nDw4PatWvHXxdEAbe+vj5NmTKF9PT0KnCvGYZhmF8dC7aZSi89PZ2mT59OBw4coLdv39LNmzdJU1NT8JoTJ05QfHw8DRgwgM1kM0wlJD74NW3aNDp69CglJiaSm5sbdezYkTp16kSZmZnUq1cvOnr0KB07dozs7OwEP8dmHZlvmThxIi1ZsoRWrVpF8vLytGDBArpz5w5NnDiRevbsSURES5cupYULF1LXrl1p4sSJFbvDDMMwzC+NBdvMT+HZs2cUGRlJsbGx1KVLFxo1ahQRFT9Lw5aOM0zlNXnyZFq8eDFNnTqVFBQUaO3atZSXl0edOnWikJAQev36NQ0ePJi2bNlCt2/fJlNT04reZaYSEx+MiYmJoUGDBtHKlSupcePGdOLECfL29iYHBwd69OgRTZ48mQICAoiIaOfOndSuXbvfqv0ZwzAMU/5YsM38NEQz3JcuXSJfX18KDQ0lIjbbxTCVnahI4ePHj6lt27YUHh7OL+tNT0+nKVOm0PXr1+mvv/4iBwcHevz4Ma1YsYImTJjABs6YLxI/9z99+pSqVq1K8+bNo8mTJ9Px48cpMDCQZsyYQc7OztSuXTv68OEDhYaG0uDBg/n3+N36jTMMwzDli0UozE9DXV2dxo0bRw4ODrR3714aP348Ef1e/WIZ5mdy8+ZNevXqFV+wUEFBgc/VJioMdNTV1SkyMpKePHlChw4dIiIiTU1NmjJlCsnIyFBeXl5F/gpMJSY694eFhVFoaChVrVqVxo0bR9LS0rRy5Urq27cvBQUFkYmJCZmZmZGamhpdvHiRAPBVy1mgzTAMw5QlFqUwPxV1dXUKDw8nQ0NDev78ebFtXhiGqXi7d+8mR0dHmjRpEr148YKICmciq1atSpcuXSIiIo7jqKCggFRVVcnR0ZEeP35c5H3YzDbzOfHz/rlz52j//v00ePBgkpeXJ3l5efrw4QPFxcWRnJwcSUlJ0bt376hKlSo0btw4WrduHSu0xzAMw5QbdhfD/HTU1dVpwYIFpKKiQhzHsarjDFPJZGdn0759++jTp0+UlJREERERFB4eTnXq1KFp06aRn58f6enpCWovJCUlkbe3dwXvOfMzEJ3v58+fT2lpadS0aVNycHAgosJAXFpampo1a0YHDhyg3Nxcio2Npffv35Ofnx8/wMNWRDEMwzDlgeVsMz81dtPEMJXThQsXyMvLi5ycnOjjx49kYWFBY8eOpTp16tDixYspJCSEWrduTdWrV6f09HR6/vw53bhxg81kM98tKCiI1q1bR/b29nT48GFSUVHhnzt9+jStX7+erl+/Tjo6OrRlyxaSlZVl1wyGYRimXLFgm2EYhpGYgoICAkBSUlI0atQoqlGjBhUUFNCuXbuoadOmNG7cOKpRowadOXOG1q1bR58+faLatWvTrFmzSEZGhhWsYop1+vRpPv3gjz/+IHV1dSIiGjt2LM2aNYuWLVtGgYGBJC8vz/9Mbm4u5efnk5ycHN+vnQ3mMAzDMOWJXXUYhmGYUktISKDq1auTpqYm/5iWlhZt3LiRzp49S4qKirRp0yaKiIig0NBQcnZ2JgcHB0HrPhYMMcX5559/KCIigjw9PcnMzIwPtImIZsyYQW/evKGhQ4eSgoIC+fn5UdWqVYmosPiZrKwsERUuL2ffLYZhGKa8sZlthmEYplSio6Opa9eupKmpSZGRkVSvXj2ys7MjIqLmzZtTq1atKDQ0lKZNm0YHDx6kxo0b0+jRowVBE8MU559//qF+/frR8uXLydfXl6pVq0ZERAsWLCBNTU2+hVz//v3pn3/+oRUrVlCHDh0EM9wMwzAMU1HYMC/DMAxTYjk5OXT8+HGqXbs2SUtL0/Lly0lJSYlUVVUpIiKCWrZsScnJyURENGHCBJKSkqLVq1eTrq4uhYSEVPDeM5VZQkICzZkzhxYsWECBgYH84506daIdO3ZQq1atSEZGhnx9fWnZsmUkJSVFgYGBVLNmTWrVqlUF7jnDMAzDFGLBNsMwDFNiVapUoYkTJ5KsrCylpaWRhoYG9erVi0aOHEnDhw+npKQkunHjBrm7u1PHjh1p3LhxpKmpKQieGKY4Dx8+pMzMTHJ1deULmw0aNIiuXbtG+/fvp/nz51NUVBTl5+eTn58fLVmyhAwNDalFixYVvesMwzAMQ0RsGTnDMAwjAU+ePKHIyEi6fPky9erVi/r27Utnz56l/fv308aNG+ngwYNkbm4u+BlWDI35munTp9P8+fPp5cuX/GNPnz6l/Px80tLSooSEBAoODiYAtGHDBtLX1+dfx/L/GYZhmMqA9b9gGIZhSq1u3bo0btw4sre3pxUrVtD8+fOpcePGFBkZSdeuXSNzc3MqKCgQ/AwLtJmvMTIyoo8fP9LRo0f5xzQ0NEhLS4sKCgqofv365OPjQyoqKlS7dm3Bz7JAm2EYhqkMWLDNMAzDSISGhgaNGzeOnJycaMuWLTRjxgwiIlJTU6P8/HzW35j5Ifb29iQjI0PLly+ntLQ0wXNSUlKUmZlJp0+fJhMTE1JUVKygvWQYhmGYL2PLyBmGYRiJSk9Pp8jISLpy5Qo1b96cpk2bVtG7xPykNm/eTEFBQeTn50ejRo0ia2trIiJKTU2l4OBgev78OV2+fJlkZGQIAHEcV7E7zDAMwzBiWLDNMAzDSFx6ejqNGTOGqlatSsuXL2dBEFMi+fn5tGbNGho4cCDVqVOHLCwsKC8vjzIzM4mI6PTp0yQrK8vy/xmGYZhKiQXbDMMwTJl4/fo1qaiokJSUFJt1ZErl+vXrtGrVKrp79y7p6OhQw4YNqV+/fiQtLc2KoTEMwzCVFgu2GYZhmDIlatvEMJLGZrQZhmGYyowF2wzDMAzDVHpsdQTDMAzzs2FTDQzDMAzDVHos0GYYhmF+NizYZhiGYRiGYRiGYRgJY8E2wzAMwzAMwzAMw0gYC7YZhmEYhmEYhmEYRsJYsM0wDMMwDMMwDMMwEsaCbYZhGIZhGIZhGIaRMBZsMwzDMAzDMAzDMIyEsWCbYRiGYRiGYRiGYSSMBdsMwzAMw0hcs2bNaNiwYd/9+rVr15KKikqZ7Q/DMAzDlDcWbDMMwzBMBUtPT6chQ4aQgYEBycnJkba2NrVt25aOHz8u8W2lpKQQx3EkIyNDjx8/Fjz39OlTkpGRIY7jKCUlReLbZhiGYZjfCQu2GYZhGKYCpaSkkK2tLZ04cYJmz55Nt27dokOHDpGbmxsNGjSoxO+bn59PBQUFX3y+bt26tH79esFj69atI01NzRJvk2EYhmGY/2HBNsMwDMNUoIEDBxLHcXTx4kXy8/MjY2NjMjc3pxEjRtD58+f51/35559kaWlJioqKpK2tTQMHDqT379/zz4uWYe/fv5/MzMxITk6OUlNTv7jdHj160Jo1awSPrV27lnr06FHktadOnSIHBweSk5MjDQ0NCgsLo7y8PP75Dx8+UPfu3alatWqkoaFB8+bNK/IeOTk5NGbMGNLU1CRFRUVq1KgRxcTE/MifimEYhmF+KizYZhiGYZgK8vr1azp06BANGjSIFBUVizwvnsMsJSVFCxcupLi4OFq3bh2dOHGCxowZI3h9VlYWzZgxg1atWkXx8fFUu3btL27bx8eHMjIy6MyZM0REdObMGXr9+jW1bdtW8LrHjx9TmzZtyN7enm7cuEFLly6lqKgoioiI4F8zevRoOnnyJO3atYuOHDlCMTExdOXKFcH7BAUFUWxsLG3ZsoVu3rxJ/v7+5OnpSffu3fvuvxfDMAzD/ExkKnoHGIZhGOZ3df/+fQJApqam33yteLExfX19mjZtGg0YMICWLFnCP56bm0tLliwhKyurb76frKwsBQQE0OrVq8nZ2ZlWr15NAQEBJCsrK3jdkiVLSFtbmxYvXkwcx5GpqSk9efKEQkNDaeLEiZSVlUVRUVG0fv16cnd3J6LC5ehaWlr8ezx48IA2b95Mjx49orp16xIR0ahRo+jQoUO0Zs0aioyM/Ob+MgzDMMzPhgXbDMMwDFNBABAREcdx33ztyZMnKTIykm7fvk3v3r2jvLw8+vTpE3348IGfFa9SpQo1aNDgu7ffu3dvcnJyosjISNq+fTudO3dOsDyciCghIYGcnJwE+9ikSRN6//49PXr0iDIyMignJ4ecnJz459XU1MjExIT/99WrVwkAGRsbC947OzubatSo8d37yzAMwzA/ExZsMwzDMEwFqVevHnEcRwkJCdS+ffsvvi41NZXatGlD/fv3p2nTppGamhqdOXOGevfuTbm5ufzr5OXlvytwF7GwsCBTU1Pq2rUr1a9fnywsLOj69euC1wAo8p7igwSi//+agoICkpaWpitXrpC0tLTguWrVqn33/jIMwzDMz4TlbDMMwzBMBVFTU6NWrVrR33//TR8+fCjy/Js3b4iI6PLly5SXl0fz5s0jR0dHMjY2pidPnkhkH3r16kUxMTHUq1evYp83MzOjs2fPCoLqs2fPkpKSEmlqapKRkRHJysoKirllZGTQ3bt3+X/b2NhQfn4+PX/+nIyMjAT/qaurS+T3YBiGYZjKhgXbDMMwDFOBlixZQvn5+eTg4EDR0dF07949SkhIoIULF/JLsw0NDSkvL48WLVpESUlJ9M8//9CyZcsksv3g4GB68eIF9enTp9jnBw4cSA8fPqQhQ4ZQYmIi7dmzhyZNmkQjRowgKSkpqlatGvXu3ZtGjx5Nx48fp7i4OOrZsydJSf3vFsPY2Ji6detG3bt3p507d1JycjJdunSJZs2aRQcPHpTI78EwDMMwlQ0LthmGYRimAunr69PVq1fJzc2NRo4cSRYWFuTu7k7Hjx+npUuXEhGRtbU1/fnnnzRr1iyysLCgjRs30owZMySyfRkZGapZsybJyBSfWaapqUkHDx6kixcvkpWVFfXv35969+5N48eP518zZ84ccnV1JR8fH2rZsiU5OzuTra2t4H3WrFlD3bt3p5EjR5KJiQn5+PjQhQsXSFtbWyK/B8MwDMNUNhy+J9mKYRiGYRiGYRiGYZjvxma2GYZhGIZhGIZhGEbCWLDNMAzDMAzDMAzDMBLGgm2GYRiGYRiGYRiGkTAWbDMMwzAMwzAMwzCMhLFgm2EYhmEYhmEYhmEkjAXbDMMwDMMwDMMwDCNhLNhmGIZhGIZhGIZhGAljwTbDMAzDMAzDMAzDSBgLthmGYRiGYRiGYRhGwliwzTAMwzAMwzAMwzASxoJthmEYhmEYhmEYhpEwFmwzDMMwDMMwDMMwjIT9H0MTzblW5bGIAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sales distribution by model\n",
    "model_sales = df['Model'].value_counts()\n",
    "\n",
    "# Make threashold so it is readable\n",
    "threshold = 30\n",
    "\n",
    "# Group less frequent models into 'Other' category\n",
    "top_models = model_sales.head(threshold)\n",
    "other_models_count = model_sales.iloc[threshold:].sum()\n",
    "#top_models['All Other'] = other_models_count\n",
    "\n",
    "# Visualization top 30 models\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=top_models.index, y=top_models.values, palette='viridis')\n",
    "plt.title('Top Car Models by Sales')\n",
    "plt.xlabel('Car Model')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sales distribution by gender\n",
    "gender_sales = df['Gender'].value_counts()\n",
    "\n",
    "# Visualization of sales by gender\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.barplot(x=gender_sales.index, y=gender_sales.values, palette='viridis')\n",
    "plt.title('Sales Distribution by Gender')\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.xticks(rotation=0)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sales distribution by region\n",
    "region_sales = df['Dealer_Region'].value_counts()\n",
    "\n",
    "# Visualization of sales by region\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=region_sales.index, y=region_sales.values, palette='viridis')\n",
    "plt.title('Sales Distribution by Region')\n",
    "plt.xlabel('Region')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot best preforming companies\n",
    "company_sales = df['Company'].value_counts()\n",
    "\n",
    "# Setting threshold\n",
    "threshold = 25\n",
    "\n",
    "# Group less frequent companies into 'Other' category\n",
    "top_companies = company_sales.head(threshold)\n",
    "other_companies_count = company_sales.iloc[threshold:].sum()\n",
    "top_companies['All Other'] = other_companies_count\n",
    "\n",
    "# Visualization for Top N companies\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=top_companies.index, y=top_companies.values, palette='viridis')\n",
    "plt.title('Top Car Companies by Sales')\n",
    "plt.xlabel('Car Company')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mTaspU6bccFlZsmTxePxPo37f7PVSp06twMBA+fn5uXugO3bseMNlXB88b3eU8YwZM8rHx0fHjh1LMO/o0aOSEvdevCFz5szugHGtG63X6/n6+qpWrVpasmSJDh8+fMvbVn377bc6evSoVq1a5e7JlaS///77hu1vd10lto74bfXYsWMJ2h49ejTB7ywpREREKGfOnO7HMTExOnXqlLuWxK6bO5UlSxaVKlVKQ4cOveH8a3vwW7durdatW+vixYv6/vvv1b9/fzVs2FC//fZbgrNYrnerz2W89u3ba8SIEZoyZYquXLmimJgYvfzyy3f03lwul7p166ZBgwZp586dkqSdO3dq27ZtmjZtmlq1auVu+/vvv99yefHbwbhx4246Onz8PjRLliwaO3asxo4dq4MHD2r+/Pnq3bu3jh8//p8cTR/AvYlTzQHgLnrooYfkcrn0+eefJ5i3dOlSnTt3TrVr1070citWrKg0adLok08+8Zi+bt26BD2IDRs21B9//KHMmTOrfPnyCX6uDem3MnfuXI9evvPnz2vBggWqWrWqfH19FRAQoJo1a+rnn39WqVKlbvh6N+oZvh3p0qVThQoVNHfuXI+es7i4OM2cOVO5cuVSoUKF7mjZd0v16tW1c+dO/fLLLx7TZ82adVvP79Onj8xMbdu2VVRUVIL50dHRWrBggaT/C9LX92b+73//u5PS77iOhx56SJI0c+ZMjzYbN27U7t27k+x2cde6/nMxe/ZsxcTEqEaNGpKcXTfXatiwoXbu3KkCBQrc8LNwbfCOly5dOtWvX199+/ZVVFSUdu3adcvXudXnMl6OHDnUtGlTvf/++/rggw/UqFEj5c6d+5bLv9HBLunqgZNz586538e/Wa9VqlRRhgwZ9Msvv9xwXZUvX959lsO1cufOrU6dOqlOnTrasmXLLV8HAO4WerwB4C4qUKCAOnXqpFGjRunvv/9WgwYNlDZtWm3cuFEjRoxQ+fLl1aJFi0QvN2PGjOrZs6eGDBmiF198UU2bNtWhQ4c0YMCABKdadu3aVXPmzFG1atXUrVs3lSpVSnFxcTp48KCWL1+uHj16qEKFCrf1ur6+vqpTp466d++uuLg4vfXWWzp37pwGDhzobvPuu+/qwQcfVNWqVdW+fXvlzZtX58+f1++//64FCxbo22+/TfT7jTd8+HDVqVNHNWvWVM+ePZU6dWq9//772rlzpz777LN7rof7el27dtWUKVNUv359DRo0SCEhIfr000+1Z88eSZKPzz8fH69UqZImTpyoDh06qFy5cmrfvr2KFy+u6Oho/fzzz5o0aZJKlCihRo0aqXLlysqYMaNefvll9e/fX35+fvrkk0+0bdu2f/0+ElNH4cKF1a5dO40bN04+Pj6qX7++9u/fr379+iksLEzdunX71/Vcb+7cuUqVKpXq1KmjXbt2qV+/fipdurSaNWsmSY6um2sNGjRIK1asUOXKlfXKK6+ocOHCunLlivbv36/Fixfrgw8+UK5cudS2bVulTZtWVapUUY4cORQREaHhw4crODhY999//y1f53Y+l/G6dOni/rzH36btVtq1a6e///5bTzzxhEqUKCFfX1/t2bNHY8aMkY+Pj1577TVJUpEiRVSgQAH17t1bZqZMmTJpwYIFWrFixS1fIzAwUOPGjVOrVq10+vRpPfnkk8qWLZtOnDihbdu26cSJE5o4caLOnj2rmjVrqkWLFipSpIiCgoK0ceNGLV26VE2aNLmt9wMAdwPBGwDusnfffVfFihXT5MmTNXPmTMXExChPnjzq2LGj3njjjRv24tyOQYMGKV26dHr//ff18ccfq0iRIvrggw/09ttve7RLly6d1qxZoxEjRmjSpEnat2+f0qZNq9y5c6t27dqJ6vHu1KmTrly5oldeeUXHjx9X8eLFtWjRIlWpUsXdplixYtqyZYsGDx6sN954Q8ePH1eGDBkUHh6uBg0a3NF7jVe9enV9++236t+/v55//nnFxcWpdOnSmj9/vho2bPivln03hIaGavXq1eratatefvllBQQE6PHHH9egQYPUqlUrZciQ4ZbLaNu2rR544AGNGTNGb731liIiIuTn56dChQqpRYsW6tSpk6Srp3gvWrRIPXr00LPPPqt06dKpcePG+vzzz3Xffff96/dyu3VIV+9RXaBAAU2ePFkTJkxQcHCwHn74YQ0fPvyOz4D4J3PnztWAAQM0ceJE98BoY8eOdX/WnF438XLkyKFNmzZp8ODBGjVqlA4fPqygoCDly5dPDz/8sHsQw6pVq2ratGmaPXu2zpw5oyxZsujBBx/UjBkzlDVr1lu+zu18LuM98MADyps3r9KmTXvbZxt07txZn3/+uT788EMdOXJEFy9eVNasWVWpUiXNmDHDfWq4n5+fFixYoC5duuill15SqlSpVLt2ba1cufK2etafffZZ5c6dWyNHjtRLL72k8+fPuwfWix+cL02aNKpQoYI+/vhj7d+/X9HR0cqdO7dee+019erV67beDwDcDS4zM28XAQBIXvbv3698+fJp1KhR6tmzp7fLSXHatWunzz77TKdOnbrjAzGQBgwYoIEDB+rEiROOXDueEmzfvl2lS5fWhAkT1KFDB2+XAwApFj3eAAB40aBBgxQaGqr8+fPrwoULWrhwoT766KN/dfYDcCt//PGHDhw4oNdff105cuRIcHs3AEDSIngDAOBFfn5+7tOOY2JiFB4ertGjR6tLly7eLg0p2ODBg/Xxxx+raNGi+uKLLxQQEODtkgAgReNUcwAAAAAAHMTtxAAAAAAAcBDBGwAAAAAABxG8AQAAAABwEIOrSYqLi9PRo0cVFBQkl8vl7XIAAAAAAPc4M9P58+cVGhoqH59/7tMmeEs6evSowsLCvF0GAAAAACCZOXTokHLlyvWPbQjekoKCgiRdXWHp06f3cjUAAAAAgHvduXPnFBYW5s6T/4TgLblPL0+fPj3BGwAAAABw227ncmUGVwMAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHOTV4D1gwAC5XC6Pn+zZs7vnm5kGDBig0NBQpU2bVjVq1NCuXbs8lhEZGanOnTsrS5YsSpcunR599FEdPnz4br8VAAAAAABuyOs93sWLF9exY8fcPzt27HDPGzlypEaPHq3x48dr48aNyp49u+rUqaPz58+723Tt2lXz5s3TrFmztHbtWl24cEENGzZUbGysN94OAAAAAAAeUnm9gFSpPHq545mZxo4dq759+6pJkyaSpOnTpyskJESffvqpXnrpJZ09e1aTJ0/Wxx9/rNq1a0uSZs6cqbCwMK1cuVL16tW7q+8FAAAAAIDreb3He+/evQoNDVW+fPn01FNP6c8//5Qk7du3TxEREapbt667rb+/v6pXr65169ZJkjZv3qzo6GiPNqGhoSpRooS7zY1ERkbq3LlzHj8AAAAAADjBq8G7QoUKmjFjhpYtW6YPP/xQERERqly5sk6dOqWIiAhJUkhIiMdzQkJC3PMiIiKUOnVqZcyY8aZtbmT48OEKDg52/4SFhSXxOwMAAAAA4CqvBu/69evriSeeUMmSJVW7dm0tWrRI0tVTyuO5XC6P55hZgmnXu1WbPn366OzZs+6fQ4cO/Yt3AQAAAADAzXn9VPNrpUuXTiVLltTevXvd131f33N9/Phxdy949uzZFRUVpTNnzty0zY34+/srffr0Hj8AAAAAADjhngrekZGR2r17t3LkyKF8+fIpe/bsWrFihXt+VFSUVq9ercqVK0uSypUrJz8/P482x44d086dO91tAAAAAADwJq+Oat6zZ081atRIuXPn1vHjxzVkyBCdO3dOrVq1ksvlUteuXTVs2DCFh4crPDxcw4YNU0BAgFq0aCFJCg4OVps2bdSjRw9lzpxZmTJlUs+ePd2nrgMAAAAA4G1eDd6HDx/W008/rZMnTypr1qyqWLGifvzxR+XJk0eS1KtXL12+fFkdOnTQmTNnVKFCBS1fvlxBQUHuZYwZM0apUqVSs2bNdPnyZdWqVUvTpk2Tr6+vt94WAAAAAABuLjMzbxfhbefOnVNwcLDOnj3L9d4AAAAAgFtKTI68p67xBgAAAAAgpfHqqeYAAAAAgLtvwYYHvV3CPa9RhbVJtix6vAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwUCpvFwAAAAAAb6191tsl3PNee3Cmt0vAHaLHGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAAB6XydgEAAADAvar1ku7eLuGeN7X+aG+XANzz6PEGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAclMrbBcQbPny4Xn/9dXXp0kVjx46VJJmZBg4cqEmTJunMmTOqUKGCJkyYoOLFi7ufFxkZqZ49e+qzzz7T5cuXVatWLb3//vvKlSuXl94JAACAsx6c1tfbJdzz1j4/1NslAIDbPdHjvXHjRk2aNEmlSpXymD5y5EiNHj1a48eP18aNG5U9e3bVqVNH58+fd7fp2rWr5s2bp1mzZmnt2rW6cOGCGjZsqNjY2Lv9NgAAAAAASMDrwfvChQt65pln9OGHHypjxozu6WamsWPHqm/fvmrSpIlKlCih6dOn69KlS/r0008lSWfPntXkyZP1zjvvqHbt2ipbtqxmzpypHTt2aOXKld56SwAAAAAAuHk9eHfs2FGPPPKIateu7TF93759ioiIUN26dd3T/P39Vb16da1bt06StHnzZkVHR3u0CQ0NVYkSJdxtbiQyMlLnzp3z+AEAAAAAwAlevcZ71qxZ2rJlizZu3JhgXkREhCQpJCTEY3pISIgOHDjgbpM6dWqPnvL4NvHPv5Hhw4dr4MCB/7Z8AAAAAABuyWs93ocOHVKXLl00c+ZMpUmT5qbtXC6Xx2MzSzDterdq06dPH509e9b9c+jQocQVDwAAAADAbfJa8N68ebOOHz+ucuXKKVWqVEqVKpVWr16t9957T6lSpXL3dF/fc338+HH3vOzZsysqKkpnzpy5aZsb8ff3V/r06T1+AAAAAABwgteCd61atbRjxw5t3brV/VO+fHk988wz2rp1q/Lnz6/s2bNrxYoV7udERUVp9erVqly5siSpXLly8vPz82hz7Ngx7dy5090GAAAAAABv8to13kFBQSpRooTHtHTp0ilz5szu6V27dtWwYcMUHh6u8PBwDRs2TAEBAWrRooUkKTg4WG3atFGPHj2UOXNmZcqUST179lTJkiUTDNYGAAAAAIA3eHVwtVvp1auXLl++rA4dOujMmTOqUKGCli9frqCgIHebMWPGKFWqVGrWrJkuX76sWrVqadq0afL19fVi5QAAAAAAXHVPBe9Vq1Z5PHa5XBowYIAGDBhw0+ekSZNG48aN07hx45wtDgAAAACAO+D1+3gDAAAAAJCSEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAel8nYBAAAg+Sv9dn9vl3DP29ZzoLdLAAB4CT3eAAAAAAA4iB5vAECKVa7vIG+XcM/bPPRNb5cAAECKR483AAAAAAAOIngDAAAAAOAggjcAAAAAAA4ieAMAAAAA4CCCNwAAAAAADiJ4AwAAAADgIII3AAAAAAAOIngDAAAAAOAggjcAAAAAAA4ieAMAAAAA4CCCNwAAAAAADiJ4AwAAAADgIII3AAAAAAAOIngDAAAAAOAggjcAAAAAAA4ieAMAAAAA4CCCNwAAAAAADiJ4AwAAAADgIII3AAAAAAAOIngDAAAAAOAggjcAAAAAAA4ieAMAAAAA4CCCNwAAAAAADiJ4AwAAAADgIII3AAAAAAAOIngDAAAAAOAggjcAAAAAAA4ieAMAAAAA4CCCNwAAAAAADiJ4AwAAAADgIII3AAAAAAAOIngDAAAAAOAggjcAAAAAAA4ieAMAAAAA4CCCNwAAAAAADiJ4AwAAAADgoH8dvGNjY7V161adOXMmKeoBAAAAACBFSXTw7tq1qyZPnizpauiuXr267rvvPoWFhWnVqlVJXR8AAAAAAMlaooP3l19+qdKlS0uSFixYoH379mnPnj3q2rWr+vbtm+QFAgAAAACQnCU6eJ88eVLZs2eXJC1evFhNmzZVoUKF1KZNG+3YsSPJCwQAAAAAIDlLdPAOCQnRL7/8otjYWC1dulS1a9eWJF26dEm+vr5JXiAAAAAAAMlZqsQ+oXXr1mrWrJly5Mghl8ulOnXqSJI2bNigIkWKJHmBAAAAAAAkZ4kO3gMGDFCJEiV06NAhNW3aVP7+/pIkX19f9e7dO8kLBAAAAAAgOUt08JakJ598UpJ05coV97RWrVolTUUAAAAAAKQgib7GOzY2VoMHD1bOnDkVGBioP//8U5LUr18/923GAAAAAADAVYkO3kOHDtW0adM0cuRIpU6d2j29ZMmS+uijj5K0OAAAAAAAkrtEB+8ZM2Zo0qRJeuaZZzxGMS9VqpT27NmTpMUBAAAAAJDcJTp4HzlyRAULFkwwPS4uTtHR0UlSFAAAAAAAKUWig3fx4sW1Zs2aBNO/+OILlS1bNkmKAgAAAAAgpUj0qOb9+/dXy5YtdeTIEcXFxWnu3Ln69ddfNWPGDC1cuNCJGgEAAAAASLYS3ePdqFEjff7551q8eLFcLpfefPNN7d69WwsWLFCdOnUStayJEyeqVKlSSp8+vdKnT69KlSppyZIl7vlmpgEDBig0NFRp06ZVjRo1tGvXLo9lREZGqnPnzsqSJYvSpUunRx99VIcPH07s2wIAAAAAwBGJDt6SVK9ePa1evVoXLlzQpUuXtHbtWtWtWzfRy8mVK5dGjBihTZs2adOmTXrooYfUuHFjd7geOXKkRo8erfHjx2vjxo3Knj276tSpo/Pnz7uX0bVrV82bN0+zZs3S2rVrdeHCBTVs2FCxsbF38tYAAAAAAEhSdxS8k0qjRo3UoEEDFSpUSIUKFdLQoUMVGBioH3/8UWamsWPHqm/fvmrSpIlKlCih6dOn69KlS/r0008lSWfPntXkyZP1zjvvqHbt2ipbtqxmzpypHTt2aOXKld58awAAAAAASLrNa7wzZswol8t1Wws8ffr0HRUSGxurL774QhcvXlSlSpW0b98+RUREePSk+/v7q3r16lq3bp1eeuklbd68WdHR0R5tQkNDVaJECa1bt0716tW74WtFRkYqMjLS/fjcuXN3VDMAAAAAALdyW8F77NixjhWwY8cOVapUSVeuXFFgYKDmzZunYsWKad26dZKkkJAQj/YhISE6cOCAJCkiIkKpU6dWxowZE7SJiIi46WsOHz5cAwcOTOJ3AgAAAABAQrcVvFu1auVYAYULF9bWrVv1999/a86cOWrVqpVWr17tnn99T7uZ3bL3/VZt+vTpo+7du7sfnzt3TmFhYXf4DgAAAAAAuLlE307sWpcvX1Z0dLTHtPTp0ydqGalTp1bBggUlSeXLl9fGjRv17rvv6rXXXpN0tVc7R44c7vbHjx9394Jnz55dUVFROnPmjEev9/Hjx1W5cuWbvqa/v7/8/f0TVScAAAAAAHci0YOrXbx4UZ06dVK2bNkUGBiojBkzevz8W2amyMhI5cuXT9mzZ9eKFSvc86KiorR69Wp3qC5Xrpz8/Pw82hw7dkw7d+78x+ANAAAAAMDdkuge7169eum7777T+++/r+eee04TJkzQkSNH9L///U8jRoxI1LJef/111a9fX2FhYTp//rxmzZqlVatWaenSpXK5XOratauGDRum8PBwhYeHa9iwYQoICFCLFi0kScHBwWrTpo169OihzJkzK1OmTOrZs6dKliyp2rVrJ/atAQAAAACQ5BIdvBcsWKAZM2aoRo0aeuGFF1S1alUVLFhQefLk0SeffKJnnnnmtpf1119/qWXLljp27JiCg4NVqlQpLV26VHXq1JF0NeRfvnxZHTp00JkzZ1ShQgUtX75cQUFB7mWMGTNGqVKlUrNmzXT58mXVqlVL06ZNk6+vb2LfGgAAAAAASS7Rwfv06dPKly+fpKvXc8ffPuzBBx9U+/btE7WsyZMn/+N8l8ulAQMGaMCAATdtkyZNGo0bN07jxo1L1GsDAAAAAHA3JPoa7/z582v//v2SpGLFimn27NmSrvaEZ8iQISlrAwAAAAAg2Ut08G7durW2bdsm6eptud5//335+/urW7duevXVV5O8QAAAAAAAkrNEn2rerVs39/9r1qyp3bt3a/PmzSpQoIBKly6dpMUBAAAAAJDc/av7eEtSnjx5lCdPnqSoBQAAAACAFOe2TzXfsGGDlixZ4jFtxowZypcvn7Jly6Z27dopMjIyyQsEAAAAACA5u+3gPWDAAG3fvt39eMeOHWrTpo1q166t3r17a8GCBRo+fLgjRQIAAAAAkFzddvDeunWratWq5X48a9YsVahQQR9++KG6d++u9957zz3COQAAAAAAuOq2g/eZM2cUEhLifrx69Wo9/PDD7sf333+/Dh06lLTVAQAAAACQzN128A4JCdG+ffskSVFRUdqyZYsqVarknn/+/Hn5+fklfYUAAAAAACRjtx28H374YfXu3Vtr1qxRnz59FBAQoKpVq7rnb9++XQUKFHCkSAAAAAAAkqvbvp3YkCFD1KRJE1WvXl2BgYGaPn26UqdO7Z4/ZcoU1a1b15EiAQAAAABIrm47eGfNmlVr1qzR2bNnFRgYKF9fX4/5X3zxhQIDA5O8QAAAAAAAkrPbDt7xgoODbzg9U6ZM/7oYAAAAAABSmtu+xhsAAAAAACQewRsAAAAAAAcRvAEAAAAAcNBtBe/77rtPZ86ckSQNGjRIly5dcrQoAAAAAABSitsK3rt379bFixclSQMHDtSFCxccLQoAAAAAgJTitkY1L1OmjFq3bq0HH3xQZqa33377prcOe/PNN5O0QAAAAAAAkrPbCt7Tpk1T//79tXDhQrlcLi1ZskSpUiV8qsvlIngDAAAAAHCN2wrehQsX1qxZsyRJPj4++uabb5QtWzZHCwMAAAAAICW4reB9rbi4OCfqAAAAAAAgRUp08JakP/74Q2PHjtXu3bvlcrlUtGhRdenSRQUKFEjq+gAAAAAASNYSfR/vZcuWqVixYvrpp59UqlQplShRQhs2bFDx4sW1YsUKJ2oEAAAAACDZSnSPd+/evdWtWzeNGDEiwfTXXntNderUSbLiAAAAAABI7hLd47179261adMmwfQXXnhBv/zyS5IUBQAAAABASpHoHu+sWbNq69atCg8P95i+detWRjoHgFuo3Gmwt0u4560b38/bJQAAACSpRAfvtm3bql27dvrzzz9VuXJluVwurV27Vm+99ZZ69OjhRI0AAAAAACRbiQ7e/fr1U1BQkN555x316dNHkhQaGqoBAwbolVdeSfICAQAAAABIzhIdvF0ul7p166Zu3brp/PnzkqSgoKAkLwwAAAAAgJTgju7jHY/ADQAAAADAP0v0qOYAAAAAAOD2EbwBAAAAAHAQwRsAAAAAAAclKnhHR0erZs2a+u2335yqBwAAAACAFCVRwdvPz087d+6Uy+Vyqh4AAAAAAFKURJ9q/txzz2ny5MlO1AIAAAAAQIqT6NuJRUVF6aOPPtKKFStUvnx5pUuXzmP+6NGjk6w4AAAAAACSu0QH7507d+q+++6TpATXenMKOgAAAAAAnhIdvL/77jsn6gAAAAAAIEW649uJ/f7771q2bJkuX74sSTKzJCsKAAAAAICUItHB+9SpU6pVq5YKFSqkBg0a6NixY5KkF198UT169EjyAgEAAAAASM4SHby7desmPz8/HTx4UAEBAe7pzZs319KlS5O0OAAAAAAAkrtEX+O9fPlyLVu2TLly5fKYHh4ergMHDiRZYQAAAAAApASJ7vG+ePGiR093vJMnT8rf3z9JigIAAAAAIKVIdPCuVq2aZsyY4X7scrkUFxenUaNGqWbNmklaHAAAAAAAyV2iTzUfNWqUatSooU2bNikqKkq9evXSrl27dPr0af3www9O1AgAAAAAQLKV6B7vYsWKafv27XrggQdUp04dXbx4UU2aNNHPP/+sAgUKOFEjAAAAAADJVqJ7vCUpe/bsGjhwYFLXAgAAAABAinNHwfvMmTOaPHmydu/eLZfLpaJFi6p169bKlClTUtcHAAAAAECyluhTzVevXq18+fLpvffe05kzZ3T69Gm99957ypcvn1avXu1EjQAAAAAAJFuJ7vHu2LGjmjVrpokTJ8rX11eSFBsbqw4dOqhjx47auXNnkhcJAAAAAEBylege7z/++EM9evRwh25J8vX1Vffu3fXHH38kaXEAAAAAACR3iQ7e9913n3bv3p1g+u7du1WmTJmkqAkAAAAAgBTjtk413759u/v/r7zyirp06aLff/9dFStWlCT9+OOPmjBhgkaMGOFMlQAAAAAAJFO3FbzLlCkjl8slM3NP69WrV4J2LVq0UPPmzZOuOgAAAAAAkrnbCt779u1zug4AAAAAAFKk2wreefLkcboOAAAAAABSpETfTkySjhw5oh9++EHHjx9XXFycx7xXXnklSQoDAAAAACAlSHTwnjp1ql5++WWlTp1amTNnlsvlcs9zuVwEbwAAAAAArpHo4P3mm2/qzTffVJ8+feTjk+i7kQEAAAAA8J+S6OR86dIlPfXUU4RuAAAAAABuQ6LTc5s2bfTFF184UQsAAAAAAClOok81Hz58uBo2bKilS5eqZMmS8vPz85g/evToJCsOAAAAAIDkLtHBe9iwYVq2bJkKFy4sSQkGVwMAAAAAAP8n0cF79OjRmjJlip5//nkHygEAAAAAIGVJ9DXe/v7+qlKlihO1AAAAAACQ4iQ6eHfp0kXjxo1zohYAAAAAAFKcRJ9q/tNPP+nbb7/VwoULVbx48QSDq82dOzfJigMAAAAAILlLdPDOkCGDmjRp4kQtAAAAAACkOIkO3lOnTnWiDgAAAAAAUqREX+MNAAAAAABuX6J7vPPly/eP9+v+888//1VBAAAAAACkJIkO3l27dvV4HB0drZ9//llLly7Vq6++mlR1AQAAAACQIiQ6eHfp0uWG0ydMmKBNmzb964IAAAAAAEhJEh28b6Z+/frq06cPg68ByVDtZwZ7u4R73spP+nm7BAAAACRTSTa42pdffqlMmTIl1eIAAAAAAEgREt3jXbZsWY/B1cxMEREROnHihN5///0kLQ4AAAAAgOQu0cH7scce83js4+OjrFmzqkaNGipSpEhS1QUAAAAAQIqQ6ODdv39/J+oAAAAAACBFSrJrvO/E8OHDdf/99ysoKEjZsmXTY489pl9//dWjjZlpwIABCg0NVdq0aVWjRg3t2rXLo01kZKQ6d+6sLFmyKF26dHr00Ud1+PDhu/lWAAAAAAC4odsO3j4+PvL19f3Hn1SpEteBvnr1anXs2FE//vijVqxYoZiYGNWtW1cXL150txk5cqRGjx6t8ePHa+PGjcqePbvq1Kmj8+fPu9t07dpV8+bN06xZs7R27VpduHBBDRs2VGxsbKLqAQAAAAAgqd12Up43b95N561bt07jxo2TmSXqxZcuXerxeOrUqcqWLZs2b96satWqycw0duxY9e3bV02aNJEkTZ8+XSEhIfr000/10ksv6ezZs5o8ebI+/vhj1a5dW5I0c+ZMhYWFaeXKlapXr16iagIAAAAAICnddvBu3Lhxgml79uxRnz59tGDBAj3zzDMaPPjf3Qv47NmzkuS+Ldm+ffsUERGhunXrutv4+/urevXqWrdunV566SVt3rxZ0dHRHm1CQ0NVokQJrVu37obBOzIyUpGRke7H586d+1d1AwAAAABwM3d0jffRo0fVtm1blSpVSjExMdq6daumT5+u3Llz33EhZqbu3bvrwQcfVIkSJSRJERERkqSQkBCPtiEhIe55ERERSp06tTJmzHjTNtcbPny4goOD3T9hYWF3XDcAAAAAAP8kUcH77Nmzeu2111SwYEHt2rVL33zzjRYsWOAOyv9Gp06dtH37dn322WcJ5l1733Dpaki/ftr1/qlNnz59dPbsWffPoUOH7rxwAAAAAAD+wW0H75EjRyp//vxauHChPvvsM61bt05Vq1ZNkiI6d+6s+fPn67vvvlOuXLnc07Nnzy5JCXqujx8/7u4Fz549u6KionTmzJmbtrmev7+/0qdP7/EDAAAAAIATbvsa7969eytt2rQqWLCgpk+frunTp9+w3dy5c2/7xc1MnTt31rx587Rq1Srly5fPY36+fPmUPXt2rVixQmXLlpUkRUVFafXq1XrrrbckSeXKlZOfn59WrFihZs2aSZKOHTumnTt3auTIkbddCwAAAAAATrjt4P3cc8/d8vTuxOrYsaM+/fRTff311woKCnL3bAcHBytt2rRyuVzq2rWrhg0bpvDwcIWHh2vYsGEKCAhQixYt3G3btGmjHj16KHPmzMqUKZN69uypkiVLukc5BwAAAADAW247eE+bNi3JX3zixImSpBo1anhMnzp1qp5//nlJUq9evXT58mV16NBBZ86cUYUKFbR8+XIFBQW5248ZM0apUqVSs2bNdPnyZdWqVUvTpk2Tr69vkteMu+ORh/t5u4RkYdHSf3cnAQAAAADOu+3g7YTbue+3y+XSgAEDNGDAgJu2SZMmjcaNG6dx48YlYXUAAAAAAPx7d3Q7MQAAAAAAcHsI3gAAAAAAOIjgDQAAAACAgwjeAAAAAAA4iOANAAAAAICDCN4AAAAAADiI4A0AAAAAgIMI3gAAAAAAOIjgDQAAAACAgwjeAAAAAAA4iOANAAAAAICDUnm7gOSkQcn23i7hnrd4x0RvlwAAAAAA9xR6vAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAABxG8AQAAAABwEMEbAAAAAAAHEbwBAAAAAHAQwRsAAAAAAAcRvAEAAAAAcBDBGwAAAAAAB3k1eH///fdq1KiRQkND5XK59NVXX3nMNzMNGDBAoaGhSps2rWrUqKFdu3Z5tImMjFTnzp2VJUsWpUuXTo8++qgOHz58F98FAAAAAAA359XgffHiRZUuXVrjx4+/4fyRI0dq9OjRGj9+vDZu3Kjs2bOrTp06On/+vLtN165dNW/ePM2aNUtr167VhQsX1LBhQ8XGxt6ttwEAAAAAwE2l8uaL169fX/Xr17/hPDPT2LFj1bdvXzVp0kSSNH36dIWEhOjTTz/VSy+9pLNnz2ry5Mn6+OOPVbt2bUnSzJkzFRYWppUrV6pevXp37b0AAAAAAHAj9+w13vv27VNERITq1q3rnubv76/q1atr3bp1kqTNmzcrOjrao01oaKhKlCjhbnMjkZGROnfunMcPAAAAAABOuGeDd0REhCQpJCTEY3pISIh7XkREhFKnTq2MGTPetM2NDB8+XMHBwe6fsLCwJK4eAAAAAICr7tngHc/lcnk8NrME0653qzZ9+vTR2bNn3T+HDh1KkloBAAAAALjePRu8s2fPLkkJeq6PHz/u7gXPnj27oqKidObMmZu2uRF/f3+lT5/e4wcAAAAAACfcs8E7X758yp49u1asWOGeFhUVpdWrV6ty5cqSpHLlysnPz8+jzbFjx7Rz5053GwAAAAAAvMmro5pfuHBBv//+u/vxvn37tHXrVmXKlEm5c+dW165dNWzYMIWHhys8PFzDhg1TQECAWrRoIUkKDg5WmzZt1KNHD2XOnFmZMmVSz549VbJkSfco5wAAAAAAeJNXg/emTZtUs2ZN9+Pu3btLklq1aqVp06apV69eunz5sjp06KAzZ86oQoUKWr58uYKCgtzPGTNmjFKlSqVmzZrp8uXLqlWrlqZNmyZfX9+7/n4AAAAAALieV4N3jRo1ZGY3ne9yuTRgwAANGDDgpm3SpEmjcePGady4cQ5UCAAAAADAv3PPXuMNAAAAAEBKQPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBKSZ4v//++8qXL5/SpEmjcuXKac2aNd4uCQAAAACAlBG8P//8c3Xt2lV9+/bVzz//rKpVq6p+/fo6ePCgt0sDAAAAAPzHpYjgPXr0aLVp00YvvviiihYtqrFjxyosLEwTJ070dmkAAAAAgP+4VN4u4N+KiorS5s2b1bt3b4/pdevW1bp16274nMjISEVGRrofnz17VpJ07ty5f3yt6Niof1ltynerdXi7omMib90ISba+Y6KvJMlyUrIkW9dRrOtbSap1LUmxkazvW0mq9R17hf32rSTlth1zmfV9K0m1vqMusa5vJanW9ZWL0UmynJQsKfcjly7GJNmyUqpbre/4+WZ2y2W57HZa3cOOHj2qnDlz6ocfflDlypXd04cNG6bp06fr119/TfCcAQMGaODAgXezTAAAAABACnTo0CHlypXrH9sk+x7veC6Xy+OxmSWYFq9Pnz7q3r27+3FcXJxOnz6tzJkz3/Q596Jz584pLCxMhw4dUvr06b1dTorGur57WNd3F+v77mFd312s77uHdX33sK7vLtb33ZNc17WZ6fz58woNDb1l22QfvLNkySJfX19FRER4TD9+/LhCQkJu+Bx/f3/5+/t7TMuQIYNTJTouffr0yWoDTc5Y13cP6/ruYn3fPazru4v1ffewru8e1vXdxfq+e5Ljug4ODr6tdsl+cLXUqVOrXLlyWrFihcf0FStWeJx6DgAAAACANyT7Hm9J6t69u1q2bKny5curUqVKmjRpkg4ePKiXX37Z26UBAAAAAP7jUkTwbt68uU6dOqVBgwbp2LFjKlGihBYvXqw8efJ4uzRH+fv7q3///glOm0fSY13fPazru4v1ffewru8u1vfdw7q+e1jXdxfr++75L6zrZD+qOQAAAAAA97Jkf403AAAAAAD3MoI3AAAAAAAOIngDAAAAAOAggjcAAAAAAA4ieKdwcXFx7v+fPXvWi5UAAAAAwH8TwTuF8/G5+it+44031K9fP12+fNnLFaVsV65c8XYJwF3xyCOPaPv27d4uAwCAu+a9997T3LlzvV0GkimCdwp1bU/30qVL9eWXX6ply5ZKmzatF6tK2bp27apx48aJO/Q542brlfV998XExKhQoUIqUqSIt0sBbunav4fXY//hHax3JDdxcXE6ePCgNm/erJIlS3rMY3vG7eI+3incnDlztG7dOqVOnVrDhw9XbGysfH19vV1WijRp0iTdf//9Klu2LOs5CV2+fFlp06ZVTEyMUqVKpW3btmnv3r3Knj278uTJo7CwMMXFxbnP7sDdNXr0aJUvX17VqlXzdin/KWYml8vl7TLuedeupw8//FBbtmxR9uzZVbJkSTVp0iRBG9w9K1as0PHjx9W8eXOlSpXK2+WkOPv371e2bNkUEBDg7VJShPjvGefPn1dQUJB+/PFHHThwQM2bN/d2af9J8fvtqKgopU6dOsH0exXfVFOwK1euaMCAARozZox2794tSfL19eXInEPatWunsmXLavHixRo2bJj+/vtvb5eU7E2ZMkVvvPGGjh8/rlSpUumLL75Q1apV9eqrr6ply5Z66KGH9O2338rHx+cfe7XgjLi4OC1atEiPPfaYfvzxR2+Xk+LE76t/+uknzZo1S2+99ZYOHjyoy5cv39NfLO4V134B69evn7p3766IiAgtW7ZML730krp16yZJcrlc/F30gkWLFqlly5b68ssvFRsb6+1ykrULFy54PP75559VuXJlnTlzxksVpSxTpkxRo0aNFB0draCgIJ0+fVrvvPOO3nrrLX355ZfeLu8/J37fvmTJEj355JN69tln9d5770m69/fnBO8ULE2aNFq7dq3q1aunbdu26YsvvlBsbOw9v1EmF9cGvejoaPf/Dx8+rP79++uDDz5gQLt/adu2bVq5cqUmTJigrVu3asKECXr77be1adMmffLJJ6pevboefvhhfffdd/Lx8WG7dti169fM5OPjo8WLF+uhhx5S48aNtX79ei9Wl/K4XC7NmTNHjzzyiGbOnKmPP/5YjzzyiMaOHavIyEhvl3fPiw/dGzdu1I4dO7R48WLNmzdPCxcu1DvvvKNJkyapT58+Hm1x94wdO1bdu3fX888/r9mzZxO+79C4ceM0aNAgHTlyxD3twoULypUrl3LmzOnFylKG2NhYXbhwQUeOHFGbNm0UHR2tTJkyqWvXripSpIjee+89zZ4929tl/qe4XC599913euyxx5QlSxZduHBBQ4cOVfv27d3z79Xvg5zbk0Jce6pt/MbmcrkUHBysTz/9VI8++qjGjh2rgIAA1a9f3x1S+LJx53x8fHT48GH5+fkpJCRE8+fP18mTJ9WuXTvFxMSoU6dOio2NVadOnRQcHOztcpOld999V/369dOyZct07tw5BQQEqEmTJsqcObMqV66sggULKi4uTq+88oqWL1+uHDlyeLvkFOv60/mjoqLk7+8vf39/ffbZZ2ratKkee+wxffXVV6pUqZIXK005tm3bpi5dumjUqFF6/vnndfz4cWXPnl2+vr7y9/f3dnnJwowZM/Txxx/r7NmzKlq0qCQpU6ZMatasmc6dO6fx48erRYsWCa7ZhDPOnDmjjBkzuh+//fbbio2NVevWrSVJTZs25bTzRDp16pRmzJihoKAgPf/88woLC9Pff//N97sk4uvrqxdffFHp0qXT5MmT9cwzz+iTTz5RlSpVlCpVKo0ePVrjx4+XJDVr1kzSvX+6c3J07XeQP//8U+fOndOoUaP0yiuv6OzZs1q0aJHatm2ruLg4/e9//3OH73vu92BI9mJjY93/f/fdd61169ZWvXp1mzdvnh04cMDMzE6ePGlVqlSxKlWq2KJFizyeg8SJi4szM7MzZ87YI488YtWqVbMPP/zQXC6Xffrpp+5248aNM5fLZUOGDLG///7bW+UmW9duo6+99prlzp3bMmfObEePHjWz//s9rFixwnLlymVbtmzxSp3/Bdf+Lt577z17+umnrWrVqjZ58mS7dOmSmZlFR0db48aNLSQkxNavX++tUlOURYsWWfXq1c3MbPfu3ZY3b1578cUX3fMPHDjg/hzgxj777DMrVqyY+fv725IlSzzmbdmyxTJkyGArV670UnX/Lbt377bAwED79ttvE8zr2LGjBQYG2pdffmmRkZFeqC55GzVqlOXKlcsGDBhgf//9t33++edWqlQpvuslgejoaDMz2759u/Xv398yZsxobdq0saioKDMz+/HHH61Zs2ZWtWpV++KLL7xZaor0wQcf2IkTJ9yP9+3bZxkyZLBMmTLZhx9+6J5++fJl++STTywgIMDat2/vjVJvC8E7Bendu7dlzZrV3njjDXvhhRcsPDzcevToYb/99puZmZ06dcqqVatm4eHh9sMPP3i52uTrp59+MrOrYWThwoVWpEgR8/Pzs/fee8/MzK5cueJuGx++hw8fbqdPn/ZKvcnZtaFi8ODBFhISYu3bt7cjR464px86dMhy585tS5cu9UaJKdr1oa53796WI0cO69Gjhw0ZMsRcLpe9+eab7t9HdHS0NWnSxFwul+3YscMbJacI8ev9vffesxo1alhkZKTlzp3b2rZt6/4ivXjxYuvXrx8H9a5xs5CxdOlSK1WqlDVs2NC+//579/S//vrLChYsaPPmzbtLFf73xG/L33//ve3bt8+aNm1q2bNnt9WrV3vMP3jwoKVPn95cLpd9+eWXXqs3uYmJiXH/f+jQoRYaGmpvv/22DRs2zB555BHbs2ePbdy40Xbu3Gl79+61b7/91t0hg9sXfyCjefPmVrBgQcuYMaO1aNHCI3w//fTTVrJkSfYnSejUqVNWoEABK1iwoJ06dcrMzI4dO2YjRoywrFmzWqdOnTzaX7lyxWbNmmUul8u6du3qjZJvieCdQsycOdPy5ctnmzZtMjOztWvXmsvlsvDwcOvcubP98ccfZmZ2/Phxe/nllz121rh98+fPtxw5criPvv3++++WO3duy5cvnzVo0MCOHTtmZuZxxH7ChAnmcrns7bffpnfqNsSvoytXrngcxDAz69Onj5UpU8batm1rf/75p+3fv9/69Olj2bJls0OHDnmj3BQr/ih/fJj5/PPPLV++fLZhwwYzM1u3bp25XC7z8fGxjh07us9EiIqKst69e7OPSYSbBcZ9+/ZZtmzZLFWqVNa5c2ePeV27drVHHnmE4P3/XbsO586da5MmTbIhQ4bYmTNnzOzqgYry5ctbhQoVbNy4cfbFF19Yw4YNrVixYmyrDlu5cqWlTZvW5s2bZ1FRUdasWTPLnDmzO3ybXQ3e7du3t+7du9svv/zixWqTj/i/lfv27XNPGzp0qOXOndsKFSpkLpfLypQpY4GBgRYaGmr58+e3kJAQO3z4sJcqTp5+/fVXy5Ytm02YMMEuXbpkV65cseHDh1vZsmU9wvfatWutdevWtn//fi9XnLLs3r3bKlSoYEWKFLGTJ0+amVlERISNGjXK0qZNawMHDvRof/nyZfvyyy9t9+7d3ij3lgjeydS1AS4mJsa++OILe+utt8zM7KuvvrIMGTLY5MmTbcSIEZY2bVrr0qWL7dy502MZfNlIvCNHjrh79+L/3bNnj82bN8+qVq1qderUuWH4nj59uu3atevuF5zMxG/Xixcvdh89HjJkiMcXtNdff92yZMlimTJlsocfftjq1q1rmzdv9lbJKdJrr71mL774ovvAx+XLl+2zzz6z999/38zMFi5caMHBwTZr1iz74osvzNfX115//fUEPSnsY/5ZfGiOX0+bN2+2qVOn2rp16+z48eNmZjZ8+HDLlSuX9enTx2JjY2337t3Wu3dvy5AhQ4J9OsxeffVVy5Mnj9WpU8cqVapkmTJlsmXLlpnZ1VP3S5QoYT4+PtaoUSN744033OuebdUZBw8etO7du9s777zjnhYTE2PNmjWzjBkz2uzZs2379u02cOBAq1mzJqeZ36b4v5Vff/21lSxZ0saNG+ee9+6771qWLFmsffv2tmPHDjt+/LidOnXKzpw5496v4PatWrXKQkJCbO/eve5pZ8+etSFDhlj69OmtXbt27u328uXL3iozRduzZ4+VL1/eChcu7A7fx48ft7ffftsyZMiQIHzfywjeKcSRI0csIiLCIiIi7IEHHnD/kTt37pzlzJnTcuTIYWPGjDGzhKePIvH27NljadOmdV9fEhsba5999plVrVrV6tWrZxEREWZm9s4779jUqVO9WGny89VXX1lAQIC99tprNnToUKtWrZrVrFnTFixY4G4zdOhQy5Qpk7355pvunTCSRmRkpHXt2tUqVqxor776qvuLxMGDB+3AgQMWERFh5cuXt1GjRrmnZ8uWzVwul8eXa/yzjz76yFq3bm2///67mZnNmTPHAgMDrVChQhYcHGwvvfSS7dmzx86dO2fDhw+3DBkyWEhIiBUvXtyKFSvGmAY3MGPGDAsJCbGtW7ea2dVTzF0ul3399dfuNkuWLLHy5ctbu3bt3GMRcB2sM37++WerVauWFSlSxP07uPYAR9u2bS0wMNDy5s1rISEhbNOJtGDBAkuTJo2NHz8+wcHnt956y3LlymVDhw7l1PJEuv478p49e6xgwYI2e/Zsj+lnz561fPnymb+/v7Vq1eqGz8W/c+363L17t5UrV84jfP/111/29ttvW5YsWey1117zVpmJQvBOxkaMGGFt2rTxmLZt2zYrUKCArVmzxsyubqjPP/+8ffDBBxzRT0IHDx60zp07W6ZMmWzy5Mlm9n/hu0aNGhYeHm4vvviiuVwu2759u5erTT527dplRYsWtUmTJpmZ2cWLFy1z5swWHh5uVatWtUWLFrnb9uvXjy8USSz+j9zly5etf//+VqNGDevWrZvHKf+//PKLFS9e3NauXWtmVz8LvXv3thUrVrhPT8etDRs2zEqWLGmvvPKKbdiwwR5//HGbNGmSRUZG2kcffWSVK1e2Zs2auU+XO3LkiM2aNcs2bNjgPqsGnoYNG2bdunUzM7NZs2ZZ+vTpbeLEiWZmHqfkf/nll/bAAw/YM88843HNN5JWRESEPfroo+bv7+9xveW130XWrFlja9eutYMHD3qjxGTr3LlzVqtWLevfv7/H9PjTns2uhu80adLYiBEj2Dcn0vLly91jIcWPj9SgQQOPMxdPnz5tTzzxhI0ePZrtN4ldG7iv3ab37t1rZcuWTRC+Bw0aZHny5LETJ07c8wc/CN7JVHR0tE2cONF8fHyse/fu7ulr1qyxIkWK2IgRI+z777+3hg0b2pNPPumeT/i+Mzf6IB84cMBeffVVCwoKcofvuLg4W7lypXXq1Mkef/xxBphKpD179ljXrl3t3LlzduDAAStQoIB16NDBvvvuO8uZM6dVrlyZUUMddG3P3+rVq+2ZZ56xsLAw69u3r/tUuk2bNpmfn5+NGDHCVq1aZQ0aNLDatWu7n8cXvNv33nvvWfny5d37i7/++ss979NPP7UqVapY8+bN3WN34J89++yz9vzzz9t3331nQUFB7ksjzK4eqH799dfdjxcsWOA+QMrpoc45ceKEPfXUU1amTBn3AVUzzy/T+Ge9evWyKVOmeEz766+/LGfOnDZz5kwz8/yOcu3/33nnHfcAu7g9V65csRYtWpjL5XIfYP7ll18sR44cVr9+fZs2bZpt3brVXn31Vbv//vvdZzgiacRvv8uWLbN27dpZjRo1bOTIke7xZX7//Xd3+I4fcC3+corkgOCdTMR/Ib52h3rp0iWbNm2apU6d2uNo8iuvvGL58+e3sLAwq1SpkvsP3L1+FOheFb/e1qxZY+PHj7e3337b/fs4evRogvAdj2vVbs+122VsbKx7kK7WrVtby5Yt7cKFC2Zm9uijj1poaKg99thjdu7cObZnB3Xt2tWqVKlijz32mBUoUMBy5MhhPXv2dAeUMWPGmK+vr4WHh1uFChX4Ep1I1x4AHTVqlOXPn98yZ86cYFCp+DNoGjRoYNu2bbvbZd6zbnZq+MKFC6148eLm5+fn7uk2M7tw4YI1atTIunfv7rHuFy9ebH/++afj9f4XxO+P9+/fbxs3brRDhw7Z2bNnzezqKMRPPPGEPfjgg/bRRx+5n8Mp/rd29uxZGzhwYILP/+nTp61ChQo2aNAg93qM//f77793X1qI23ftd4oDBw5Yq1atLHXq1O4xZn755RerW7euFSxY0HLmzGl58uRhfBmHfPXVV+bv72+tW7e2559/3vLly2d16tRxd7z89ttvVqFCBcuWLVuyu2MQwTuZ+fHHHz0eX7p0yaZOnWqpU6e2V155xT39559/tm3btrl3xPRC/Ttff/21+fv7W4UKFSx9+vRWpkwZd292fPjOlCmTRw8L/ln8H7nrt824uDiLjo62ihUrugfMiI2NtTZt2tg777zDabYO+/rrry1Tpkz2008/WUxMjMXFxVm3bt2sXLly9uqrr7pPO9+1a5ft3r2bfUwixW/31wa+SZMmWcGCBa1t27bua77jTZs2zerXr89IxP/ftWFt0aJF9v7779unn35qv/zyi125csWeeuopK1asmI0fP97Onz9vW7ZssQYNGth9993n3kY58ytpxW/Tc+fOtfDwcMudO7cVKVLEunXr5h6Q6ujRo/bEE09YjRo1bPz48d4sN9mJ326XLVvmcUCpZcuWVrBgQfv22289QmOfPn2scuXKyS6QeNvFixfN7P+250OHDtmzzz5rqVOndl+ScubMGTtw4IBt3rzZ4wwlJJ2//vrL7r//fhs9erR72pYtW6x58+ZWt25d9xgeO3bssJo1ayb4m3mvI3gnIz/88IO5XC4bMWKEx/QLFy7Y2LFjzeVyJbjex4wvGXcqfud74cIFa9GihU2bNs0uXbrkHsCuUKFC7h3AsWPHrEOHDhYWFmZ///03vbG3EL9+vvnmG3v++eetRYsW1qdPH/f8M2fO2JNPPmlPPvmkzZo1y/r06WN58uRx94bDOR9++KHly5fP45rYs2fP2vPPP28ZMmSw119/3S5duuTxHHqubs+1IxEXL17c49Tbd99918qWLetx+8d48T2H+D+9evWysLAwq1u3rj344INWpEgRW7p0qR06dMhatWplBQoUsMDAQCtbtqzVrFnTfVYGfw+dsXTpUgsODraxY8daZGSkDRo0yLJmzeoxTsGxY8esTp06Vr9+fW6Ddxuu/R5x5coV69Onj7lcLvvggw/c0ytWrGjFihWzV1991d577z1r06aNpU+fnjNkEmnz5s0WGhrqPuvo2vvLP/nkk5YmTRou+blL/v77bytYsGCCs0h//vlny5Url0cHV3I8247gfQ+7/sts/AACmTJlspEjR3rM2759u2XKlMlcLpfHUSIkzg8//OA+6ml29TYSFSpUsPr163v8Ibt8+bI7fMdPj4iI4Ajobbi2dyT+Vhyvvfaa5c2b1x577DH30f0vvvjCqlWrZnny5LHChQtzSpcDrj/N3+zq76VQoULuMzrip+/du9eyZs1quXPntrFjx979YlOIhQsXWpo0aWzcuHEJbjE4ZswYK1u2rEdPIf5P/Pb6ySefWGhoqK1bt87Mrh608Pf3t1mzZpnZ1YGnDh8+bPPnz7edO3dyVobDTp8+bY8++qgNGjTIzK5+V8mbN69VrVrVypQpY02bNnVvzxEREXbo0CFvlptsxG/v8eHi0KFD1q9fPwsKCvK4fVjnzp2tTp06VrRoUWvcuDGh+x9c/706/kDcpk2brEaNGpY/f37bs2ePR9tvvvnGXC6XuVwu93XGSDrXn/0YERFhxYsXt2HDhrmnx7d57LHHrFmzZsn6YD/B+x517RficePGuW+zceLECRs2bJilT5/eo+f74MGD9uKLL9qyZcs4on+Hvv/+ewsMDPS4PdWff/5phQoVMpfL5T7VKP4Df+XKFXvwwQctc+bMjFz+D66//szMbOvWrVaoUCH3kct9+/ZZjhw5zOVy2YMPPujehvfv328HDhzggIYDrv/DFb/PiYiIsNDQUGvWrJnHYCWbN2+2xo0b2/vvv5+s/+h508WLF61evXrWu3dvj+nXHrV/7733LG/evPbaa68RFP+/devW2a+//up+/Prrr7vv6DFnzhwLCgpy9wKeO3fOo208tllnzZ8/37Zt22YnT5604sWLW7t27czMrHfv3pYuXTqrV6+eu+cbt2/t2rVWunRp9/23jxw5Yn379k0QvqOiouzs2bMMFHgbdu/ebb1797Y//vjDYx+7ZcsWq1+/voWFhXlsq7t377ZmzZpZ586dE4zDgX/n2oHUunTp4j6r8Z133jFfX19bvHixR/tHHnkk2dw27GYI3vega78gHD9+3MLCwqx06dLuHqj48B0QEGCdOnWy+fPnW7169axx48Y3vW4W/2zAgAF26tQp9x+3AwcO2Pnz583savgrUqSIVaxY0Y4cOWJmnrddqlOnTrK7xuRuid+W9+3bZ5MmTXL3Wi9evNh925+DBw9a/vz5rW3btvbNN99YYGCgNW7cOFmeQpQcvfvuu9a6dWv3ba3MzH766ScLDAy0Ro0a2cyZM+2HH36wunXrWsuWLd3bPgf4Eu/kyZOWN29emz59upl57uvj4uLc63bChAkM+vX/7du3zypUqGCPPvqoO1B36dLFhgwZYsuXL7fAwEB36I6NjbVPPvnExo4d63HmEpLOzS6jih/7YeLEiVanTh07ceKEmV0do6BUqVL21FNP0dN9B/bu3Wt58uSxBx54wL1Orw3f1552jluLjIy0+++/31wulxUsWNC6du1qn376qXv+nj17rF69ehYaGmqbNm2ykydPWv/+/a1x48bugV6RtObMmWPp06e3bt262c8//+ye/sorr5iPj4+98cYb9s4771i3bt0sffr0yf7gB8H7Hvbaa69Zo0aNrFKlSpY2bVorWLCgu2f1zJkzNn36dMuaNauVLFnSqlatyujld2jIkCHm6+vrPu3zzz//NJfLZe+++647fO/bt88KFChgVapUSRC+cWPxoWL79u1WqFAhe/zxxz2OXv78888WFxdnTZo0sWeeecbi4uLswoULVr58eXO5XFavXj1vlZ6iXRv23njjDcuSJYs9+eSTVqlSJcuYMaOtWLHCzK7+3ipWrGgFChSwPHnyWOXKldnHJNL1Byni4uKsUqVK1rlz5wTzNm7cyKBTNzFp0iSrVauWNW3a1A4fPmyzZ882l8tlfn5+Nm3aNHe7c+fOWZ06dZJ9j8i9LH573bp1q61YscKWLFnisU8ZPHiwFStWzD0IZq9evWzw4MEM9HUH4vcRv//+u5UoUcLuu+8+j/Ddr18/c7lcNnXqVC9WmfyMHDnSRo8ebStWrLD+/ftbcHCwNW/e3CZOnGixsbG2e/dua9mypblcLitWrJgFBQW5x/NB0tqzZ4/lypXLJkyYcMP548aNs4oVK1qZMmWsdu3aKeL3QPC+R73//vuWPn1627Bhg+3fv9+2bNlilStXtrx583qc1hw/wiI93Xfm7NmzVqFCBXvrrbfM7OqXX7Orp8elTZvWJk6cmCB8V69enSP3t2n37t2WMWNG6927t/uAxbXOnTtnZcuWtXnz5pnZ1V6TF1980RYtWkSPn8MOHjxob7zxhruXe9++ffbCCy+Yr6+vLV++3MyuDnJy8OBBrpO9A/H75G+//dYmTZrkHpW8W7duVqZMGfv888892vfu3dseeOCBZHMv0rvh2gM8U6dOtapVq1rz5s3t4MGD1q9fP/Pz87Ply5fb3r177ddff7W6detauXLl2EaT2LBhwzwGv5w9e7YFBgZaeHi4+fj4WM2aNd23+fnqq6+sfPnyVqtWLXviiScsICCAU8wT6dpBvOI/A3v37rUSJUpYuXLl3OH74MGDNnjwYPc1ybg93333nQUHB7u/7x09etQGDBhgqVOntsqVK9v7779vv/76q61Zs8a++uor279/v5crTrlWr15tpUqVsqNHj970bLozZ87YlStX3N/FkzuC9z2qe/fu1qxZM49pERERVr58eStWrNgNrynmGrbEi4yMtGeffdYee+wxe+uttyxjxoz2008/mdnV6wh9fX09wvf+/fstY8aM9vDDD3Oq7S1cunTJnnzySevYsaPH9KioKDt8+LD99ttvdvHiRStfvrw99thjtm/fPuvZs6cVKlSIW4Y57MsvvzSXy2VFixb1uB72yJEj9sILL5ifn5+tXLkywfPYx9ye+C8Qc+bMseDgYOvTp4/7cpTz58/bI488Yvfdd5+1bt3aRo8ebS1btrSgoCAGRbqBa8P3lClTrGrVqtasWTNbtWqV9ejRw9KlS2dZs2a18uXLe5z5xf45acTGxtro0aPN5XLZkCFDLDo62kqVKmUfffSRHTlyxPbv32+1a9e2atWquc9oih9du2nTpu5L5JBQ/P702stMzpw5Y1mzZrXq1au728XP27Fjh4WEhNjDDz/sHveE7fzO9OzZ05555hn3NfHNmze3IkWK2PPPP281atQwHx8fBiq+C+bPn2+pU6d2/328dn//ww8/3LDDJrkjeN+j2rZta8WKFXM/jj+CP2XKFHO5XFaqVCk7ePCgmbHj/be+//57K168uPn4+Nibb77pMe9G4fvAgQOMOHwboqKi7MEHH/QYAGbp0qXWtWtXS58+veXJk8fq1q1rc+fOtfz581uuXLksLCzMPZAgks71gXnjxo329NNPm7+/v61fv97M/u8P3tGjR61t27bmcrkYSf5fWLNmjQUHB7uv577WlStX7K233rJatWpZ6dKlrUmTJgzQ+A+u/TI2efJkq1GjhjVr1sxOnjxpe/bssWXLltmGDRs4K8MhkZGR9r///c98fHysU6dO9vTTT3sMQvrXX39ZjRo1rEaNGh7PY5yOm4vfVn/99Vfr1KmTPf744/b222+b2dW7qYSFhVn9+vU9nhM/pozL5bLq1atzIPRf+OKLL6xSpUoWExNjbdq0sZCQENu5c6eZXT21f/z48e7HSBo3ukTtl19+sZIlS1rfvn3dA6vFt3vuueesT58+KW47J3h72c02qB9//NHy58+f4L7cixcvto4dO1rlypWtQoUKd6HClG/Dhg3mcrmscOHC1rJlywTB7/XXX7e0adPamDFjGFwjEc6ePWtFihSxtm3b2u7du23YsGFWuHBhe+KJJ+zdd9+1yZMnW9GiRa1r164WERFha9eupafbYddeY79t2zZ75JFHLGvWrO6e1vg/eIcOHbLhw4cTYBLh2l4rs6uXCzVo0MDMro5mvmjRInviiSesSZMmHvcnvXjxokVGRt71epOb63u+H3zwQWvevHmCe56ntC9p3nTtOo+KirKJEydaUFCQZcyY0X3pRPy2u2fPHvPx8bHvvvvuhs/H/4nfRrdu3WpZs2a1xx57zJ566ilLlSqVu5d1zZo1liNHDnv44Yc9ntulSxdbuXKl7du3726XneJUq1bNfHx8LDQ0NEVcO3wvi98X/Pjjj/bxxx/bjBkz3PPeeOMNK1y4sL366qu2fft227Nnj/Xq1cuyZMmS7AdSuxGCtxdd+wVh+/bttmXLFvcfs7Nnz1rfvn2tQoUK9uqrr9qFCxds37591rBhQ+vVq5d98803liVLFvvhhx+8VX6KcerUKfv+++9t7ty5VqVKFXvqqac8RlY0u/rHLkuWLHbmzBmv1JhcffPNN5YqVSrLkyePewTW+LMFIiMjrU6dOvbcc895ucr/hr1795rL5XLfhsns6n6ncePGliNHjgThOx7hO3GWLVtmq1atsgEDBliuXLlsxowZVq9ePWvQoIE1atTInnvuOStVqhTXvd6B68N3tWrV7Nlnn2XMDYfEr+9z586Z2dV99uTJky116tTWq1cvj7a//vqr5c+f33788ce7XmdyEv+9b9u2bZY2bVp7/fXXzezqmYudOnWyLl26uA9mfP/991awYEGrVKmSTZw40Tp06GC5cuVKkaff3k3x2/WiRYusUKFC7jFmOFDkrHnz5lmaNGmsdOnSlipVKqtbt677kolhw4ZZxYoVzeVyWYkSJaxgwYIp9uxHgreXXBu6+/XrZ/nz57f8+fNbYGCgTZ482WJiYuzEiRM2dOhQy5cvn6VLl87y5MljJUuWNLOrR0rz5s3L9VN3IH7neuTIkQQDeM2YMcMefPDBG4bv+FuNIXEOHjxomzZtcg8IEy82NtaefPJJe+ONNxL0FsIZX3/9taVPn959j12zq18AH3/8ccuVK5fHoD5IvPXr15vL5bIFCxZYVFSU1a9f30qVKmWtW7e2VatWmdnV0fyLFy/OLQjv0PWnnVeoUMF9BgH7kKS3YcMGy5MnjztQR0dH28SJE83X19d69uxpv/32mx09etT69u1rISEhHAS5DQcPHrQsWbJY06ZNPaY3b97cSpcubYULF7ZHHnnEpk2bZnv27LHq1atbqVKlrEyZMgm+l+DORUREWMGCBe2NN97wdikp1rUH7xo0aGDTp0+306dP265duyxv3rxWqVIl94GkEydO2Pfff29btmyxiIgIb5btKIK3lw0aNMiyZ89uy5cvt7i4OHv22Wctffr0NmLECIuJibGYmBg7d+6cff755/bdd9+5r+fu2bOn3X///YTBO/Tll19a8eLFLUuWLPbss8/aV1995Z4XH76fffZZ96iXZnypS0qRkZH2xhtvWGhoqP3222/eLuc/ZcGCBZYuXTpr27ate9r27dutWrVq9uijj3qxsuTtl19+saVLl9rQoUM9pl9/+UTfvn3tvvvuY9/9L1y7L37kkUescePG3ismhYuOjrayZctaoUKF3H8PY2JibOLEiebv72/p0qWzF154wcqVK8eYELdp3759dv/999ujjz5qa9euNTOz4cOHW0BAgA0aNMg+/PBDK1KkiIWHh7vPEDtx4oT7zAMknY8//tjSpUvnvrsH/r3t27d7jO+wcuVKe/TRR61JkyYenV2HDx+2vHnzWuXKlf9Tl04QvO+ydevWuUcR3rFjh9WuXdvmz59vZldvw5ExY0Zr3LixuVwue+uttxL0Em7evNk6d+5swcHBXJOSSPFnGezatcvCwsJs9OjR9tFHH1mNGjXsoYce8hgEaebMmVaiRAlr06aNXblyxVslp0gff/yxvfLKKxYSEpJiTyW6VwwbNsx69+6dYPr8+fMtTZo09sorr7in/f7771wfe4dOnDhh6dOnN5fLZT169DCzhINezp0717p3724ZMmSg1yoJxIfvjh072lNPPcV18knk2n3AtbcprVq1quXLl88dvqOjo23atGnmcrmsX79+dunSJa/Um1z99ttv9vDDD9ujjz5qL774omXLls2WLVvmnn/gwAFzuVw3vb8xksbhw4etRo0anKmRBOLi4mzGjBkWGhpqZ8+edU9fv369BQcHm7+/v/uStvj9zOHDhy08PNxKliz5nwnfBO+7aN++fVahQgV79NFH7Y8//rArV67YRx99ZFeuXLHvv//eQkND3SNAN2vWzDJkyGD9+/f3uHfd119/be3ateMU89sQ/8GOv12EmdnOnTtt4MCBHmFk9+7d9sQTT1iNGjU8wvesWbP+MzuCu2XPnj1Wo0YNe/zxx1PkoBnedv1ZGaNGjTKXy+XRCxvfpkuXLuZyuaxly5YezyF8J150dLTNnz/fChYsaLVq1fK4TZDZ1TM8unXrZtWqVWPfnYROnDhhVapUYZ3+C/Hb6rWf+3Xr1rnvmhK/DUdFRVnVqlUtf/787vB95coVmzJlCvvyO/Trr79anTp1LG3atO4RzePi4ty33CxdurT7/uhwzrXfEfHvxd/3PCIiwt1xtWnTJsuaNas9/vjj9vfff5vZ/+1bDh48aKVLl/7P3C+d4H2XTZo0yR566CFr1qyZxxG2du3aWevWrd2nZ3Tq1MnKli1rVapUSfBl+uLFi3e15uTs8OHD1rRpU/c9iStXrmxBQUH21FNPebTbtWuXNWnSxGrXrm3/+9//vFHqf8Zff/3l3vHCGcOGDbNvv/3WzMx9PebgwYM92owcOdIaN25sdevWJWwn0o0uO4mNjbWFCxdacHCwPfvssx7Tza4Gl1OnTt21Gv8r+NJ85+K3zX379tmkSZNs8+bNduXKFStUqJAVL17c/R0lfns/f/68FS1a1CpXrmzr1q3zWt0pye+//25169a1+vXr2/fff++e3q9fP8uXL5/7AAhwr4s/yys2Nta2bt1qgYGB9vnnn7vD948//mgZM2a0pk2bunvE4/dB/6XbIvsId4WZSZLatm2rli1b6tixY+rRo4d+++03SdLevXsVEBAgPz8/SdKRI0c0depUrVmzRi6XS3b1IIkkKSAgwDtvIhmKjIzU4cOHNWbMGP3222+aMmWKypQpoy1btmjJkiXudsWKFdOQIUMkSQsXLtTZs2e9VXKKly1bNgUHB3u7jBQrKipKP/30kyZNmqTo6Gi98MILGj9+vAYMGKBBgwbp3LlzOn/+vH766Sc1bdpUy5Ytk4+Pj+Li4rxderJgZnK5XFq9erWGDRumNm3aaMWKFTp69KgeeeQRzZw5U19//bVatWolSfLx8VFMTIz8/PyUKVMmL1ef8qRJk8bbJSRLcXFx8vHx0Y4dO1SvXj0tWbJEf/31l/z9/bVixQr5+PjoiSee0KFDh+RyuSRJ6dKlU5kyZbR+/Xp17NhRkZGRXn4XyV+BAgU0fvx4mZmGDh2qn3/+WSNHjtSoUaM0Z84chYWFebtE4Lb4+vpKuvo3r3Tp0qpdu7Y6duyoxYsXKzIyUhUqVNDixYu1cuVKvfzyyzp79qx8fHw8nvuf4NXY/x9zbS/J1KlTrXr16tasWTM7efKkTZgwwXx8fOzpp5+2smXLWrFixdy38WFQr3/nt99+s7p161qdOnXsl19+sb1791qVKlWsUaNGHtdUmV09FZprfZDcffDBB1a4cGE7evSomZldunTJpkyZYv7+/hYeHm4FChSwUqVKsY+5Q3PmzLGAgABr1KiRlS9f3nLmzGnPPvuse9yNBQsWWObMme3xxx/3cqXAze3evdsyZsxovXv3TnCLqkOHDlnx4sWtXLlydvDgQfc+olevXrZhwwZ6YpPYb7/9Zg0bNrRs2bKZn58fd5jAPe9Gl3OaefZet2jRwtKnT29z585193xv2LDBXC6XPf/88//J7x4us//fjYq7wv5/b4kkTZs2TZMnT1bOnDk1duxYzZ8/X998840yZsyocePGyc/PT7Gxsf+tI0EO2bt3rzp16iRJGjdunOLi4tS2bVtlyJBBXbp0Ue3atb1cIZC0ypYtq/Lly+vDDz90T9u5c6eWLl2qgIAAtWvXTqlSpWIf8w/iewWvtX//ftWpU0evvvqq2rVrJ0n65JNPNH36dIWGhmrEiBEKCQnRV199pa5du2r9+vUKDQ31RvnATV2+fFnPPfecQkJCNH78ePf06OhoRUREKC4uTi6XSy1atFBERISaNm2qU6dOac6cOdq6dSs9sQ749ddf1atXLw0bNkzFixf3djnALR05ckTdunVT+/btVbNmTff0a79XPPPMM1q4cKGmTZumBg0ayN/fX5s2bVJQUJAKFy7srdK9huDtBdeG76lTp2rKlCnKmTOn3n33XYWEhLi/7MXExChVqlRerjbluFH4bt++vWJjYzVw4ECPnQZwr1u2bJkeeOABZcyYURMnTlRISIiqVKmikJAQSdKkSZM0Y8YMffbZZwoLC7vh/oTQfXPx++FDhw5p2bJlunTpksqUKaOyZcuqaNGimjFjhh566CF3+48//livvfaa5syZo0qVKikuLk6XL19WunTpvPgugBuLjo7WQw89pObNm7v/Li5btkxLly7V5MmTlTlzZpUsWVKzZ89W+/bt9ccffyguLk4TJkxQ6dKlvVx9yhUdHe2+5BC41/3555969tlnlSlTJvXp00dVqlRxz7s+fC9fvlzjx4/Xo48+qrRp03qrZK8jeHvJ9eF76tSpyps3r4YNG6ZcuXJ5zEfSuTZ8jx8/XlFRUerZs6cmTZrEEXwkG+fPn1fFihV18eJF/fTTT3ruued04sQJnTlzRkOGDFHFihWVI0cO5c2bV2+++aY6duzo7ZKTlfjQvX37djVu3FgZMmTQH3/8ITNTy5YttXHjRg0cOFANGjRQVFSUUqdOLUkqWrSoGjdurBEjRnj5HQD/7Ny5c6pQoYKqVq2q7t27a968eZo+fbpKlCihatWqKTAwUIMHD1br1q315ptv6sqVK4qLi2OMGQAe9u7dq1deeUVmpn79+rnDt5kpLi7OHb5LlCghl8ul9evXKzAw0JslexXB24uuDddTpkzRpEmT1K5dO73wwgsEbwft3btXXbt21cmTJ/XJJ58oT548HGFGsvPLL7/oueeeU6pUqbRkyRJduHBBEyZM0Pz58+Xn56dmzZrpyJEj2rBhg77++mvlypXL2yUnC9eG7kqVKqlz58567bXX9Ntvv2nixIlat26d4uLiFBsbq3Xr1ilHjhySrg5qV7t2bT399NNq3769l98FcGvffvut6tWrp5w5c+r06dMaNWqUatWqpYIFCyo6OloNGzZUtmzZ9PHHH3u7VAD3sJuFb0m6dOmShg4dqr/++ku9evVSoUKFvFip9xG8vezagN2wYUOlSpVKX331lXeL+g/Ys2eP+vbtqzFjxih37tzeLge4bddeinLkyBE98cQT8vf318KFC5UxY0Zt375dv/32m/r27avLly/r8OHDWrp0qerWrXvDa5aR0KFDh3TfffepZs2amj17tnv6nDlz1L59e3366acaPny4/vjjD7311lsKCAjQ+vXr9cEHH2jDhg0KDw/3YvXA7Tt06JCOHz+uPHnyKEuWLO7pcXFxeuqpp1S4cGENGjRIkugMAHBTNwrfUVFR6tGjhyZMmKCff/6Zy1RE8L4nxIfvTp066dSpU5o+fbr71EU459pTRIF73alTp5Q5c2ZJnttu/fr1tWzZMhUtWlRr165VxowZJUkXLlzQunXrNGbMGJ04cUIbNmzgeu7btH//fjVr1kw5cuTQq6++qgcffFCStG7dOjVo0EArV65UwYIF1b59e23evFkxMTHKmDGjPvroI5UtW9bL1QP/TlRUlAYPHqwpU6Zo1apVHEgCcFuuDd+9e/fWkiVLNG7cOP3www/8bfz/CN73iJMnT+qxxx7TBx98oBIlSni7HAD3kDVr1ujNN9/UwIEDVa1aNff0pk2b6tdff9WYMWPUu3dvXbp0ySN8S9L69ev18ssva8aMGRxtToT4LxBxcXEaO3ascuXKpYIFC6ply5Z6++233e32798vPz8/pU2blvt0I9mbOXOmNm7cqM8//1xLlizhyzKARNm7d6+6d++uH374QRcvXtT69et13333ebusewbnHN4jsmTJopUrVxK6ASSQLVs2mZneeustbd68WZL05JNPavfu3Vq0aJFq1aqlGTNmKG3atKpevbpOnTrlfm7RokV14sQJHTp0yFvlJ0vh4eF677335Ovrq/bt2ytPnjxq0aKFO3RHR0dLkvLmzaucOXMSupHs/frrr5o8ebIOHTqk7777jtANINHCw8P19ttvq2rVqtqyZQuh+zr0eANAMhDfA+vr66uzZ8/q4sWLmjt3rvLmzetus2fPHtWtW1fVqlXTzJkzJUmffvqpXnzxRe3YsUMFChTwUvXJ1969e/Xyyy/rjz/+0IwZM9xnHDAAJlKi48ePy9/fX8HBwd4uBUAyxq3xbozgDQDJxN69e9WhQwdt3LhRH374oZo2bSpJHoOmHThwQLly5XJfz71w4UIVKlToPz+S6L/x+++/q3PnzjccsRUAAOB2ELwBIBn5448/1LFjR/n4+Oj11193D/x1/YjlMTExSpUqlbfKTHHir1s7efKkxowZo4oVK3q7JAAAkIxwjTcAJCMFChTQuHHjZGYaOnSofvjhB0lKcJswQnfSCg8P16hRo5QrVy6FhoZ6uxwAAJDM0OMNAMnQ3r171a1bN/3111+aPHmySpUq5e2S/hO4DSEAALgTBG8ASKZ2796tjz76SKNGjUrQ4w0AAIB7B8EbAFKA66/xBgAAwL2D4A0AAAAAgIPoHgEAAAAAwEEEbwAAAAAAHETwBgAAAADAQQRvAAAAAAAcRPAGAAAAAMBBBG8AAAAAABxE8AYAAAAAwEEEbwAA7qKIiAh17txZ+fPnl7+/v8LCwtSoUSN98803jr3mnDlzVKNGDQUHByswMFClSpXSoEGDdPr0acdeEwAA/B+CNwAAd8n+/ftVrlw5ffvttxo5cqR27NihpUuXqmbNmurYseMdLzc2NlZxcXE3nNe3b181b95c999/v5YsWaKdO3fqnXfe0bZt2/Txxx/f8WsCAIDbR/AGAOAu6dChg1wul3766Sc9+eSTKlSokIoXL67u3bvrxx9/dLcbPXq0SpYsqXTp0iksLEwdOnTQhQsX3POnTZumDBkyaOHChSpWrJj8/f114MCBBK/3008/adiwYXrnnXc0atQoVa5cWXnz5lWdOnU0Z84ctWrVyt124sSJKlCggFKnTq3ChQsnCOUul0v/+9//1LBhQwUEBKho0aJav369fv/9d9WoUUPp0qVTpUqV9Mcff7ifM2DAAJUpU0b/+9//FBYWpoCAADVt2lR///23u83GjRtVp04dZcmSRcHBwapevbq2bNmS4LU/+ugjPf744woICFB4eLjmz58vSTIzFSxYUG+//bbHc3bu3CkfHx+PegAA8BaCNwAAd8Hp06e1dOlSdezYUenSpUswP0OGDO7/+/j46L333tPOnTs1ffp0ffvtt+rVq5dH+0uXLmn48OH66KOPtGvXLmXLli3BMj/55BMFBgaqQ4cON6wp/jXnzZunLl26qEePHtq5c6deeukltW7dWt99951H+8GDB+u5557T1q1bVaRIEbVo0UIvvfSS+vTpo02bNkmSOnXq5PGc33//XbNnz9aCBQu0dOlSbd261aN3//z582rVqpXWrFmjH3/8UeHh4WrQoIHOnz/vsZyBAweqWbNm2r59uxo0aKBnnnlGp0+flsvl0gsvvKCpU6d6tJ8yZYqqVq2qAgUK3PC9AwBwVxkAAHDchg0bTJLNnTs30c+dPXu2Zc6c2f146tSpJsm2bt36j8+rX7++lSpV6pbLr1y5srVt29ZjWtOmTa1Bgwbux5LsjTfecD9ev369SbLJkye7p3322WeWJk0a9+P+/fubr6+vHTp0yD1tyZIl5uPjY8eOHbthLTExMRYUFGQLFiy46WtfuHDBXC6XLVmyxMzMjh49ar6+vrZhwwYzM4uKirKsWbPatGnTbvneAQC4G+jxBgDgLjAzSVdPm76V7777TnXq1FHOnDkVFBSk5557TqdOndLFixfdbVKnTq1SpUrd8jVv5/V2796tKlWqeEyrUqWKdu/e7THt2tcLCQmRJJUsWdJj2pUrV3Tu3Dn3tNy5cytXrlzux5UqVVJcXJx+/fVXSdLx48f18ssvq1ChQgoODlZwcLAuXLiggwcP3vS106VLp6CgIB0/flySlCNHDj3yyCOaMmWKJGnhwoW6cuWKmjZtesv3DgDA3UDwBgDgLggPD5fL5UoQZq934MABNWjQQCVKlNCcOXO0efNmTZgwQZIUHR3tbpc2bdpbhupChQrpjz/+8HjezVy/rBuFdj8/vwTtbzTtZgO9Xdsm/t/nn39emzdv1tixY7Vu3Tpt3bpVmTNnVlRU1E1fO/75177Oiy++qFmzZuny5cuaOnWqmjdvroCAgH9+0wAA3CUEbwAA7oJMmTKpXr16mjBhgkfPdbz4Acc2bdqkmJgYvfPOO6pYsaIKFSqko0eP3tFrtmjRQhcuXND7779/w/nxr1m0aFGtXbvWY966detUtGjRO3rdax08eNCj/vXr18vHx0eFChWSJK1Zs0avvPKKGjRooOLFi8vf318nT55M9Os0aNBA6dKl08SJE7VkyRK98MIL/7p2AACSCsEbwP9r7/5Z2oyiOI5/SzqYd+AafMDBB4lLxC0OKjiJYBYJEdxdooEMgptEIaCCxsU/BHVSfAMZQ8giOmUICKK7OCqRdmqgtEOrfTSF7+cNnHvv9uMczpX0QXZ3d3l9fSWVSnF+fk673abVarG9vc3Y2BgAAwMDdDoddnZ2uL29pVqtUqlU3lRvdHSUQqFAPp+nUCjQaDS4u7ujVqsxNzfH8fExACsrKxwdHVGpVGi325TLZS4uLlheXn73nfv6+sjlctzc3HRDdiaTob+/H4AgCKhWq7RaLZrNJvPz88Tj8b+uE4vFWFhYoFgsEgRB9z0lSeoFBm9Jkj5IIpHg6uqK8fFx8vk8YRgyMTFBrVZjb28PgGQySblcplQqEYYhJycnrK+vv7lmqVTi9PSUZrPJ1NRU9/uy4eHh7ndiMzMzbG1tsbm5ydDQEPv7+xweHpJOp9995yAImJ2dZXp6msnJScIw/KkDf3BwwOPjIyMjI2SzWZaWln67of1PLC4u8vLyYrdbktRzvnz7se1FkiTpH1pbW+Py8pLr6+sPqVev10mn0zw8PHSXv0mS1Au+fvYBJEmS3uP5+Zn7+3tWV1fJZDKGbklSz3HUXJIk/dfOzs4YHBzk6emJjY2Nzz6OJEm/cNRckiRJkqQI2fGWJEmSJClCBm9JkiRJkiJk8JYkSZIkKUIGb0mSJEmSImTwliRJkiQpQgZvSZIkSZIiZPCWJEmSJClCBm9JkiRJkiJk8JYkSZIkKULfAWpFle2/qQFrAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#NEXT PLOTS ARE FOR UNDERPREFORMING DATA\n",
    "#Company\n",
    "# Invert previous data set\n",
    "underperforming_companies = company_sales[::-1]\n",
    "\n",
    "# Determine threshold for underperforming companies\n",
    "threshold_underperforming = 10\n",
    "\n",
    "# Select underperforming companies\n",
    "underperforming_companies = underperforming_companies.head(threshold_underperforming)\n",
    "\n",
    "# Visualization\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=underperforming_companies.index, y=underperforming_companies.values, palette='viridis')\n",
    "plt.title('Underperforming Car Companies by Sales')\n",
    "plt.xlabel('Car Company')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Models\n",
    "# Invert \n",
    "underperforming_models = model_sales[::-1]\n",
    "\n",
    "# Determine threshold for underperforming models\n",
    "threshold_underperforming = 20\n",
    "\n",
    "# Select underperforming models\n",
    "underperforming_models = underperforming_models.head(threshold_underperforming)\n",
    "\n",
    "# Visualization for Underperforming models\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=underperforming_models.index, y=underperforming_models.values, palette='viridis')\n",
    "plt.title('Underperforming Car Models by Sales')\n",
    "plt.xlabel('Car Model')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#color\n",
    "# Sales distribution by color\n",
    "color_sales = df['Color'].value_counts()\n",
    "\n",
    "# Invert ^^^^\n",
    "underperforming_colors = color_sales[::-1]\n",
    "\n",
    "# Determine threshold for underperforming colors\n",
    "threshold_underperforming = 10 \n",
    "\n",
    "# Select underperforming colors\n",
    "underperforming_colors = underperforming_colors.head(threshold_underperforming)\n",
    "\n",
    "# Visualization \n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=underperforming_colors.index, y=underperforming_colors.values, palette='viridis')\n",
    "plt.title('Underperforming Car Colors by Sales')\n",
    "plt.xlabel('Car Color')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "#trash and fake data set only has 3 colors xd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#engine\n",
    "# Sales distribution by engine\n",
    "engine_sales = df['Engine'].value_counts()\n",
    "\n",
    "# Invert\n",
    "underperforming_engines = engine_sales[::-1]\n",
    "\n",
    "# Determine threshold for underperforming engine types\n",
    "threshold_underperforming = 5  \n",
    "\n",
    "# Select underperforming engine types\n",
    "underperforming_engines = underperforming_engines.head(threshold_underperforming)\n",
    "\n",
    "# Visualization\n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=underperforming_engines.index, y=underperforming_engines.values, palette='viridis')\n",
    "plt.title('Underperforming Engine Types by Sales')\n",
    "plt.xlabel('Engine Type')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "#fake data set only has 2 engine parts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Sales distribution by body type\n",
    "body_sales = df['Body Style'].value_counts()\n",
    "\n",
    "# Invert \n",
    "underperforming_body = body_sales[::-1]\n",
    "\n",
    "# Determine threshold for underperforming body types\n",
    "threshold_underperforming = 10\n",
    "\n",
    "# Select underperforming body types\n",
    "underperforming_body = underperforming_body.head(threshold_underperforming)\n",
    "\n",
    "# Visualization \n",
    "plt.figure(figsize=(10, 6))\n",
    "sns.barplot(x=underperforming_body.index, y=underperforming_body.values, palette='viridis')\n",
    "plt.title('Underperforming Body Types by Sales')\n",
    "plt.xlabel('Body Type')\n",
    "plt.ylabel('Number of Sales')\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3pVKJ119/HX/5y19wxx134JFHHkFxcTHmzp1bb4spNjYWQ4cOxfz58xEWFob27dvjp59+arAB3AcffIBRo0ZhxIgRePDBB9G2bVsUFhbi2LFj2L9/v5Sz0pT38+KLL+L1119HZWUl7rvvPuj1ehw9ehQXL17Eq6++Ko1VqVSYNm0ann/+eQQGBtbL+7iU++67D/v378fbb7+NM2fO4OGHH0ZMTAyOHz+ORYsW4dSpU/jss8/q9Yjp2rUrUlJSMH/+fGRmZuLDDz90uD8oKAhLlizB5MmTUVhYiLvuugvR0dHIz8/HgQMHkJ+f36jgrLHElYzLGTZsGEaMGIHnn38eJSUluPHGG3Hw4EG88sor6NOnDyZNmtTk1xU78n744YcIDg6Gn58fEhMTG9xGupQxY8agR48euPbaaxEVFYWzZ89i8eLFaN++vUP/GyIHMicWEzndF198IUyYMEFISkoSgoKCBI1GI7Rr106YNGmScPToUYex27dvF1JSUoSAgAAhKipK+Mtf/iLs37+/XsVN3eok0TfffCMMHjxYCAkJEXQ6ndC+fXvhrrvuEjZv3iwIgiBcuHBBePDBB4WuXbsKgYGBQlBQkNCzZ09h0aJFgsViuez7EF8zPz+/wfvF6p49e/Y0eP+V5ib617/+JSQlJQlarVbo3Lmz8PHHHwuTJ092qGgRBEHIyckR7rrrLiE8PFzQ6/XC/fffL+zdu7fe90oQBOHAgQPC+PHjhejoaEGj0QixsbHCLbfcIixbtuyK879UJdSnn34qXHfddYKfn58QFBQk9OnTp97rCoK9ugqA8Pjjjzf4fbmc//znP8Ktt94qRERECBqNRmjbtq0wadIk4ciRI5d8zIcffigAEPz9/QWDwdDgmK1btwqjR48WwsPDpecdPXq08OWXX0pjrvT/u67a1UmXU7c6SRDsFUbPP/+80L59e0Gj0Qht2rQRnnjiCaGoqMhhXPv27YXRo0fXe86BAwcKAwcOdLht8eLFQmJioqBSqRz+TQwcOFDo3r17veeo+2/snXfeEfr37y9ERkYKWq1WaNeunTBlyhThzJkzl31/1LopBKHWOjIREeyVK1u2bPHKZfwlS5ZgxowZOHz4MLp37y73dIjIhbidREQ+4ffff0dGRgZee+013HbbbQxgiFoBBjFE5BPuuOMO5Obm4qabbnJK1RcReT5uJxEREZFXalKJ9fz583HdddchODgY0dHRuP322+t13xQEAXPnzkVcXBz8/f0xaNAgHDlyxGGM0WjE9OnTERkZicDAQIwdOxZZWVkOY4qKijBp0iTo9Xro9XpMmjSJZ2gQERGRpElBzNatWzFt2jTs3LkTmzZtgsViwfDhwx3aZi9YsAALFy7E0qVLsWfPHsTGxmLYsGEoLS2VxsycORPr16/H2rVrsW3bNpSVlSE1NdXhYLsJEyYgPT0daWlpSEtLQ3p6erNK/4iIiMg3tWg7KT8/H9HR0di6dStuvvlmCIKAuLg4zJw5E88//zwA+6pLTEwM3nzzTTz22GMwGAyIiorCqlWrcM899wAAsrOzkZCQgP/85z8YMWIEjh07hquvvho7d+5Ev379AAA7d+5ESkoK/vjjjyZ3/CQiIiLf06LEXoPBAMB+yB1gP3skNzcXw4cPl8bodDoMHDgQ27dvx2OPPYZ9+/bBbDY7jImLi0OPHj2wfft2jBgxAjt27IBer5cCGAC44YYboNfrsX379gaDGKPR6NAS3WazobCwEBEREc1u401ERETuJQgCSktLERcXJ531dinNDmIEQcAzzzyDAQMGSN0axfNW6p4FEhMTI51WmpubC61Wi7CwsHpjxMfn5uYiOjq63mtGR0c3eM4LYM/Xqd25k4iIiLxXZmbmFQ9+bXYQ8+STT+LgwYPYtm1bvfvqrnwIdY6wb0jdMQ2Nv9zzzJkzx6HdtsFgQLt27ZCZmYmQkJDLvjYRERF5hpKSEiQkJDTqnLVmBTHTp0/Hhg0b8OuvvzpESeJ5K7m5uQ7Hyefl5UmrM7GxsTCZTCgqKnJYjcnLy0P//v2lMeIR9rXl5+fXW+UR6XS6egf5AUBISAiDGCIiIi/TmFSQJlUnCYKAJ598El9//TV+/vlnJCYmOtyfmJiI2NhYbNq0SbrNZDJh69atUoDSt29faDQahzE5OTk4fPiwNCYlJQUGgwG7d++WxuzatQsGg0EaQ0RERK1bk1Zipk2bhs8++wzffvstgoODpfwUvV4Pf39/KBQKzJw5E/PmzUNSUhKSkpIwb948BAQEYMKECdLYKVOmYNasWYiIiEB4eDhmz56N5ORkDB06FADQrVs3jBw5Eo888gg++OADAMCjjz6K1NRUViYRERERgCYGMeKR8YMGDXK4fcWKFdKR98899xwqKysxdepUFBUVoV+/fti4caPD3taiRYugVqsxfvx4VFZWYsiQIVi5ciVUKpU0Zs2aNZgxY4ZUxTR27FgsXbq0Oe+RiIiIfJDPHjtQUlICvV4Pg8HAnBgiIiIv0ZTf303KiSEiIiLyFAxiiIiIyCsxiCEiIiKvxCCGiIiIvBKDGCIiIvJKDGKIiIjIKzGIISIiIq/EIIaIiIi8EoMYIiIi8hg5xZWNHssghoiIiGQnCAK+3p+FO97/X6Mf06Szk4iIiIicrbDchJfWH8J/D+fCZrQ2+nFciSEiIiLZ/HTsAoYv+hX/PZwLtVKBJwd3avRjuRJDREREbldmtOBv3x/F2j2ZAICk6CAsuqc32gUr8Hwjn4NBDBEREbnV7oxCzPoyHZmFlVAogCk3JmL2iC7w06hQUlLS6OdhEENERERuYbRYsXDjCXz422kIAtA21B9v390LKR0jmvV8DGKIiIjI5Y5kG/DMFwdw/EIpAODuvvF4eczVCPbTNPs5GcQQERGRy1isNnzw62ks3nwCZquAiEAt5o9LxvDusS1+bgYxRERE5BJnLpbjmXXp2H+uGAAw/OoYzBuXjMggnVOen0EMEREROZUgCFiz6xze+OEYKs1WBOnUmDu2O+68pi0UCoXTXodBDBERETnNhZIqPPfvg9h6Ih8AkHJVBN66uyfiwwKc/loMYoiIiMgpvjuQjb9+cxiGSjO0aiWeH9kVD/XvAKXSeasvtTGIISIiohYprjDh5W+PYMOBbABAcls9Fo7vhaSYYJe+LoMYIiIiaratJ/Lx3L8P4EKJESqlAtMGd8L0WzpBo3L9yUYMYoiIiKjJrDYBczccwaqdZwEAV0UGYuE9vdE7IdRtc2AQQ0RERE3238M5UgDzYP8OeH5kV/hrVW6dA4MYIiIiarITuTWdd+eO7S7LHFy/YUVEREQ+J6u4EgDQITJQtjkwiCEiIvIQVpuAI9kGWKw2uadyReeL7EFM21B/2ebAIIaIiMhDfLb7HEa/uw0f/ZYh91Su6Hz1SkzbMAYxRERErd6R8wYAwOHq/3oqq01ArqEKAFdiiIiICEBOdWCQVVQh80wu70JJFSw2AWqlAjEhfrLNo8lBzK+//ooxY8YgLi4OCoUC33zzjcP9ZWVlePLJJxEfHw9/f39069YN77//vsMYo9GI6dOnIzIyEoGBgRg7diyysrIcxhQVFWHSpEnQ6/XQ6/WYNGkSiouLm/wGiYiIvIW4uiFu1Xiq7Or5xer9oHLRkQKN0eQgpry8HL169cLSpUsbvP/pp59GWloaVq9ejWPHjuHpp5/G9OnT8e2330pjZs6cifXr12Pt2rXYtm0bysrKkJqaCqvVKo2ZMGEC0tPTkZaWhrS0NKSnp2PSpEnNeItERETeIcdgDw4ulplQabJeYbR8xCArTsatJKAZfWJGjRqFUaNGXfL+HTt2YPLkyRg0aBAA4NFHH8UHH3yAvXv34rbbboPBYMDy5cuxatUqDB06FACwevVqJCQkYPPmzRgxYgSOHTuGtLQ07Ny5E/369QMAfPTRR0hJScHx48fRpUuXZrxVIiIiz1VutKCkyiL9/XxxBTpFu/bsoebKqq5Mipc5iHF6TsyAAQOwYcMGnD9/HoIg4JdffsGJEycwYsQIAMC+fftgNpsxfPhw6TFxcXHo0aMHtm/fDsAeCOn1eimAAYAbbrgBer1eGlOX0WhESUmJwxcREZG3EPNhRGKg4Ik8oTIJcEEQ8+677+Lqq69GfHw8tFotRo4ciffeew8DBgwAAOTm5kKr1SIsLMzhcTExMcjNzZXGREdH13vu6OhoaUxd8+fPl/Jn9Ho9EhISnPzOiIiIXCfXm4IYD+gRA7goiNm5cyc2bNiAffv24Z133sHUqVOxefPmyz5OEAQoFDXJQbX/fKkxtc2ZMwcGg0H6yszMbNkbISIiciMxH0bkycm9nrIS49SzkyorK/Hiiy9i/fr1GD16NACgZ8+eSE9Px9tvv42hQ4ciNjYWJpMJRUVFDqsxeXl56N+/PwAgNjYWFy5cqPf8+fn5iImJafC1dToddDqdM98OERGR24grMQoFIAieuxIjCIJvrsSYzWaYzWYolY5Pq1KpYLPZWyj37dsXGo0GmzZtku7PycnB4cOHpSAmJSUFBoMBu3fvlsbs2rULBoNBGkNERORLsquDmM7Vybye2iumuMKMSrO9csrrqpPKyspw8uRJ6e8ZGRlIT09HeHg42rVrh4EDB+LZZ5+Fv78/2rdvj61bt+LTTz/FwoULAQB6vR5TpkzBrFmzEBERgfDwcMyePRvJyclStVK3bt0wcuRIPPLII/jggw8A2KucUlNTWZlEREQ+Kbd6O+naDmE4fqFUWu3wNOJWUmSQFn4alaxzaXIQs3fvXgwePFj6+zPPPAMAmDx5MlauXIm1a9dizpw5mDhxIgoLC9G+fXu88cYbePzxx6XHLFq0CGq1GuPHj0dlZSWGDBmClStXQqWq+WasWbMGM2bMkKqYxo4de8neNERERN5OrE66rkM41uw6h7xSI6rMVtkDhbqyPGQrCWhGEDNo0CAIgnDJ+2NjY7FixYrLPoefnx+WLFmCJUuWXHJMeHg4Vq9e3dTpEREReaXcEnsQ061NCAK0KlSYrMgxVCExMlDmmTnylKRegGcnERERya7SZEVxhRkA0CbUD/HVAYIn5sV4SlIvwCCGiIhIdmJ5daBWhWCdWgoQPLFC6XyxPbBiEENERERSeXWs3g8KhQLxYQEA4JHJvTXbSQEyz4RBDBERkezEpN42evvqhidvJ2UX2+fKlRgiIiKSknrb6P0A1CTNelrX3gqTBYXlJgBM7CUiIiIA2dXBihjEiNtJnpYTI84zSKdGiJ9Tm/43C4MYIiIimdXkxNhXN8StmtySKpgsNtnmVVftHjGXOsvQnRjEEBERyawmJ8a+EhMZpIVOrYQg1D/dWk6e1CMGYBBDREQkOyknJtQexNgrlDwvudeTesQADGKIiIhkVWW2SsmybUJqggOxhDnLg5J7uRJDREREEnG7yF+jQoh/TbJszUqMBwUxXIkhIiIiUe18mNrJsjVdez1nOymbKzFEREQkyi2xBwax1Um9InElxlO69pqtNil3hysxREREVK9br8jTesXkGqpgEwCtSomoIJ3c0wHAIIaIiEhWOcWO5dUicSUmt6QKFqv8vWLEpN42oX5QKuXvEQMwiCEiIpJVTq3DH2uLCtJBq1LCahOkbRw5eVpSL8AghoiISFZiTkzdlRilUoG46r4xnrClJJVXM4ghIiIioKbEum5ODFCTF+MJyb3SSoyHVCYBDGKIiIhkY7RYcbGsutFdnZUYwLN6xWQbuBJDRERE1S4YjAAAnVqJ0ABNvfvFgOF8sfy9YrgSQ0RERJIcQ00+TEOnQseHe8ZKjCAIzIkhIiKiGmLVUd3KJFHbUM/oFXOxzASjxQaFouHcHbkwiCEiIpKJWF4dd4nAQMyJyTFUwmoT3DavusRVmOhgHbRqzwkdPGcmRERErUxOccNHDohiQvygVipgtgrIK5WvV4wn9ogBGMQQERHJpvbhjw1RKRVoU90rRs4yazGxuG11ybenYBBDREQkk5qcmEuvcMR7QF5MdrFnHfwoYhBDREQkkyutxAA1Jc1ZRfKVWWd5YHk1wCCGiIhIFiaLDRfL7H1iLhfEiMm9YnKtHGrKqy89Tzmo5Z4AEbUeVpuAcpMF5UYLyo1WVJgsKDNaUGG0otxkgUalxJBu0dCpVXJPlcjlLpRUQRAArUqJ8EDtJceJRw/IuZ10vnoVSCz59hQMYoioyQ5lGXAstwTlRgsqTNbqoMSCcvHPtW6T7jdZUGW2XfG5/3Z7D9x/Q3s3vAsiedXuEdNQozuR1LVXpiCmtMqMkiqLfS4etp3EIIaImiTHUInb3/tfi3pWqJUKBOrUCNSqEKhTI0CnxsVSI84XV+JUfpkTZ0vkuRqTDwPUOj+puBI2mwCl8tIBjyuIW0l6fw2CdJ4VNjR5Nr/++iveeust7Nu3Dzk5OVi/fj1uv/12hzHHjh3D888/j61bt8Jms6F79+5Yt24d2rVrBwAwGo2YPXs2Pv/8c1RWVmLIkCF47733EB8fLz1HUVERZsyYgQ0bNgAAxo4diyVLliA0NLT575aIWuyP3FJYbQL0/hoMSIpEkFaNAJ0KgVq1PTCR/lwdoGhr32b/s1alrPfJ81+/ncbffjgmHYZH5OvEHjFXCmJi9X5QKmpyaKJD3JuX4qk9YoBmBDHl5eXo1asXHnroIdx555317j916hQGDBiAKVOm4NVXX4Ver8exY8fg51fzTZ85cya+++47rF27FhEREZg1axZSU1Oxb98+qFT2vfAJEyYgKysLaWlpAIBHH30UkyZNwnfffdfc90pETpBZaN8bvz4xHP+ccI3TnjcySAcAKKhOdCTydeJKzOXKqwFAo1Kijd4f54srkVVc6fYgJrvYMyuTgGYEMaNGjcKoUaMuef9LL72EW2+9FQsWLJBuu+qqq6Q/GwwGLF++HKtWrcLQoUMBAKtXr0ZCQgI2b96MESNG4NixY0hLS8POnTvRr18/AMBHH32ElJQUHD9+HF26dGnqtInISc4V2IOYduHOTfATg5iLDGKolcht5HYSYA8gzhdXIquoEte0C3P11BxkeeDBjyKnlljbbDb88MMP6Ny5M0aMGIHo6Gj069cP33zzjTRm3759MJvNGD58uHRbXFwcevToge3btwMAduzYAb1eLwUwAHDDDTdAr9dLY+oyGo0oKSlx+CIi58ssclEQE2yvzuB2ErUWOVc4/LG2eBmTe8XXjPfAlRinBjF5eXkoKyvD3//+d4wcORIbN27EHXfcgXHjxmHr1q0AgNzcXGi1WoSFOUaSMTExyM3NlcZER0fXe/7o6GhpTF3z58+HXq+XvhISEpz51oio2rlC+wUtIdy5FzRxJaaowgSL9cpVTETeLtdg/1m61OGPtcXL2PBOTOyNaw0rMQBw22234emnn0bv3r3xwgsvIDU1FcuWLbvsYwVBcEj0a6jcrO6Y2ubMmQODwSB9ZWZmtuCdEFFDBEFAVqFrVmLCArRQKgBBAArLuRpDvs1stSGv1L512piVmJquvfKtxPj8dlJkZCTUajWuvvpqh9u7deuGc+fOAQBiY2NhMplQVFTkMCYvLw8xMTHSmAsXLtR7/vz8fGlMXTqdDiEhIQ5fRORcxRVmlBrt/SLinXwQnEqpQHigfTUmn3kx5OPySo0QBECjUiDiMo3uROLPm7u79hotVinY8sTEXqcGMVqtFtdddx2OHz/ucPuJEyfQvr29eVXfvn2h0WiwadMm6f6cnBwcPnwY/fv3BwCkpKTAYDBg9+7d0phdu3bBYDBIY4jI/c5Vr8JEB+vgp3F+V93IIObFUOsgbiXFhPg1qu9L7e0kQWh+j6amyqk++NFPo2xUsOVuTa5OKisrw8mTJ6W/Z2RkID09HeHh4WjXrh2effZZ3HPPPbj55psxePBgpKWl4bvvvsOWLVsAAHq9HlOmTMGsWbMQERGB8PBwzJ49G8nJyVK1Urdu3TBy5Eg88sgj+OCDDwDYS6xTU1NZmUQkI1cl9YqignX4I7cUF0u5EkO+TSyvbkw+DAC00ftDoQCqzDYUlpsQUZ1D5mq182Eu11VYLk1eidm7dy/69OmDPn36AACeeeYZ9OnTBy+//DIA4I477sCyZcuwYMECJCcn41//+he++uorDBgwQHqORYsW4fbbb8f48eNx4403IiAgAN99953UIwYA1qxZg+TkZAwfPhzDhw9Hz549sWrVqpa+XyJqAXElJsFFQQzLrKm1EFc4GpMPAwBatRIxwfax7syLOe/B5dVAM1ZiBg0adMWlrIcffhgPP/zwJe/38/PDkiVLsGTJkkuOCQ8Px+rVq5s6PSJyoUypMslVQYy4ncQghnxbY48cqK1tmD9yS6qQVVSJXgmhLpqZI08urwacnBNDRL5N7Nab4KILWs1KDHNiyLflltiDg8auxAA1gcT5YveVWUvbSY3c9nI3BjFE1GjnXFReLeJ2ErUWzVmJiZehzFoqr+ZKDBF5M4vVJp2h0i7CRUFMcHWJNRN7ycfVHDnQ+OCgbWh1mTVzYiQMYoioUXIMVbDYBGhVNQmGzsYSa2oNLFYbLpR4/kqMzSYgx8CVGCLyAWI+THyYf6P6WjRHVPV2UmG5EVab+3phELlTfpkRNgFQKxVNKpVu6+ZeMXmlRpitAlRKBWLdfHJ2YzGIIaJGEXvEuKoyCQDCA7VQKACbYD9DicgXifkwMSF+UDXhA4G4pVNussJQaXbJ3GoTt5JiQ/ygVnlmuOCZsyIij1PTI8Z1y8pqlRJhASyzJt+W24ykXgDw06gQVZ035o4tJU/PhwEYxBBRI4k9YlxVmSSS8mJKuRJDvklMkG9KebVIDCjcEsQUid16PXMrCWAQQ0SNJK3EOPngx7oiAllmTb6tuSsxgOMZSq4m9qPx1KRegEEMETVSpouPHBCJZdYMYshX5ZSIRw40PTho68YKJalHTKhrf+ZbgkEMEV1RudGCgnL79o6resSIWGZNvq5lKzHVvWKK3ZgTw5UYIvJmYmWS3l+DED+NS1+LXXvJ1zlnO8m1QYwgCLVWYhjEEJEXc1dSL1DTK4ZBDPkiq01AbknTu/WK4qsDivMuzokpqbSg3GQFwCCGiLycO8qrRZHBLLEm33WxzN7IUaVUSOXSTSFu7ZRUWVzaKyarOqk3IlALf63KZa/TUgxiiOiK3JXUC9TaTmKJNfkgsdFddLCuSY3uRAFaNcID7YG+K89Q8vSDH0UMYojoijJdfHp1bWIQU1BudEtrdSJ3yq0+i6g5+TAiMS/Glcm94nPHNWPLy50YxBDRFbmrRwwARFRXJ5mtgltaqxO5U3Zx8/NhRO7oFcOVGCJqEk9ddRAEQapOcsdKjE6tQoifGgDzYsj35Eo9Ypq/EtNWSu51/UqMJyf1AgxiiDxCdnElbpj/E97ZeFzuqdSTX2ZEldkGhQKIc9MFTWx4l8+8GPIxOS0orxaJvWJcWWbtDT1iAAYxRB7htz/zcaHEiK/3n5d7KvWI+TBxen9o1e65ZLBXDPkqMSemJSsx0nZSseu2k7K5EkNEjXU6vxyA/dNPhcki82wciT1i3FFeLWKvGPJVNSsxzf95EldHXLWdVGW2Sh2z47kSQ0RXciq/TPqzGNB4Cncm9Ypqjh5gEEO+w2YTcKGk5dtJ4upIUYUZ5Ubnf+gRt5ICtSro/V3bobulGMQQeYBTtQKXP/NKZZxJfefcWF4tYq8Y8kUXy40wWwUoFWhWoztRsJ9GCi5cUWYtrvDEhfpDoWh6Lxt3YhBDJDOTxSYFCgBwMq/sMqPdT+oR4+KDH2vjSdbki8Qzk6KCddCoWvbr15Vl1t6S1AswiCGS3bnCclhtNeXVnhrExLt1O4lBDPkeZ+TDiFx5EKQ3HPwoYhBDJLOTefatJLEDuScFMSaLDTnVe/ju3U4Sc2K4nUS+I6e45d16RW1D7T+Prkju5UoMETXa6Yv2oOW6DuEAgDMFFTBZbHJOSXK+uBKCAPhrVFJg4Q7iSkx+GY8eIN+R44RGdyKuxNgxiCGS2anqlZgbO0UiSKeG1SbgbIFnVCjVPr3anQl+YhBjsthQ6oLqCyI55Dqh0Z2ordQrxnUrMZ5eXg0wiCGSnVhe3TEqCB2jAgF4zpaSOw9+rM1fq0KgVgUAuFjKvBjyDWJOTKwTc2LOOzmx12K1SUcjiFtWnoxBDJGMBEHAaTGIiQ5Ex+ggAJ4XxLgzqVckVigVlDMvhnyDuBIT55TtJPvP5MUyEypN1hY/n+hCqRFWmwCNSoHoFpSBuwuDGCIZXSwzoaTKAoUC6BARiKToYADAyXwPCWLcePBjXTW9YrgSQ97PZhOkIMYZOTF6fw2CdfaDUp3ZK0bMh4nV+0Gp9OweMUAzgphff/0VY8aMQVxcHBQKBb755ptLjn3sscegUCiwePFih9uNRiOmT5+OyMhIBAYGYuzYscjKynIYU1RUhEmTJkGv10Ov12PSpEkoLi5u6nSJPJq4lRQf5g8/jQqdqldi/rzgGUFMTU6MHEEMu/aS7yisMMFktR+kGh3c8iAGqJUX48QtpfPV5zF5Q1Iv0Iwgpry8HL169cLSpUsvO+6bb77Brl27EBcXV+++mTNnYv369Vi7di22bduGsrIypKamwmqtWRKbMGEC0tPTkZaWhrS0NKSnp2PSpElNnS6RRxOPGOgYZQ9exCDm9MUy2GzyV+WcK5B/JSafZdbkA8RVmMggndMOUpXyYlywEuMN+TAAoG7qA0aNGoVRo0Zddsz58+fx5JNP4scff8To0aMd7jMYDFi+fDlWrVqFoUOHAgBWr16NhIQEbN68GSNGjMCxY8eQlpaGnTt3ol+/fgCAjz76CCkpKTh+/Di6dOnS1GkTeaTaSb0AkBDmD61KiSqzDeeLK2VZAREZKswoqbJXBrnz8EcRG96RL8lxYj6MSMyLcWaZtTf1iAFckBNjs9kwadIkPPvss+jevXu9+/ft2wez2Yzhw4dLt8XFxaFHjx7Yvn07AGDHjh3Q6/VSAAMAN9xwA/R6vTSmLqPRiJKSEocvIk8nBjFXVVclqVVK6c9yJ/eK+TCRQVoEaJv8eafFpKMHmBNDPiDHUJNr4iyu6BVzvtgebMX76nbSlbz55ptQq9WYMWNGg/fn5uZCq9UiLCzM4faYmBjk5uZKY6Kjo+s9Njo6WhpT1/z586X8Gb1ej4SEhBa+EyLXq7udBECqUJL7IEg582EAIIo5MeRDnHnkgEjMW3FmmbX4XK1yJWbfvn34xz/+gZUrVza5MZYgCA6PaejxdcfUNmfOHBgMBukrMzOzaZMncrMqs1Va7agdxHSK8owya7G8OkGG8mqg9nYSc2LI+zmzMknk7O0kQRBqtpNa40rMb7/9hry8PLRr1w5qtRpqtRpnz57FrFmz0KFDBwBAbGwsTCYTioqKHB6bl5eHmJgYacyFCxfqPX9+fr40pi6dToeQkBCHLyJPdqagHIIABPupHVr6d/KQXjHnZGp0J2JODPkScTvJGd16ReJqSV6pEVXmlveKKSw3ocpsP/LEmcGWKzk1iJk0aRIOHjyI9PR06SsuLg7PPvssfvzxRwBA3759odFosGnTJulxOTk5OHz4MPr37w8ASElJgcFgwO7du6Uxu3btgsFgkMYQeTvxuIGOUUEOK4xJMTVBjJznBmVWf7qTLYipzompMFlRYeLRA+Tdcl2wnRQWoEFAdWdrcbuqJcRVmKhgHfw0qhY/nzs0OVuvrKwMJ0+elP6ekZGB9PR0hIeHo127doiIiHAYr9FoEBsbK1UU6fV6TJkyBbNmzUJERATCw8Mxe/ZsJCcnS9VK3bp1w8iRI/HII4/ggw8+AAA8+uijSE1NZWUS+YzTdSqTRImRgVAqgJIqC/JLjYgOkecTkdStV4bKJAAI1Krgp7FXal0sNaFdhPuTi4mcQRCEWjkxzvt5VigUiA/zx4kLZcgqqkBiZGCLns+bDn4UNXklZu/evejTpw/69OkDAHjmmWfQp08fvPzyy41+jkWLFuH222/H+PHjceONNyIgIADfffcdVKqayG/NmjVITk7G8OHDMXz4cPTs2ROrVq1q6nSJPFbdyiSRTq2SVj/k2lKy2gSpgZZcKzEKhcLhNGsib1VUYYax+mT66BDntvKvSe5teV6Mt5VXA81YiRk0aFCTlrjPnDlT7zY/Pz8sWbIES5YsueTjwsPDsXr16qZOj8hrnGqgMknUKToIZwoqcDK/DP07Rbp7arhQUgWzVYBaqXDq8ndTRQbpkFVUybwY8mpiPkxkkBY6tXO3aZyZ3CudXu3LKzFE1HK1D37sFF1/CVjugyDFpN62Yf5QyXh+CpN7yRe4Ih9G5MyjB6TtJC9aiWEQQySDCyVGlJusUCkVaBdeP4iRDoKUKYjJlLkySRQVXN0rppRl1uS9sl1QXi1y5tED3lZeDTCIIZKFmA/TLjygwXNUpIMgZQ5i4mXqESPiSgz5glwXlFeLXLGdxJUYIrqsmsqkhqsJxNvzS40wVJrdNi+R3D1iRAxiyBfkuHAlRlw1uVBSBVN18nBzlBstKK6wX2viuBJDRJdzuaReAAj20yC2urRaji0luXvEiCJ49AD5gFzp8EfnBwf2ZGElbELN6zSHuAoT7KdGiJ/GWdNzOQYxRDK4VHl1bWLTu1MyBDE15ybJ+4mMRw+QL3DlSoxCoXBKcq839ogBGMQQyaKhgx/rEu9z90GQlSYr8qtPjpZ7JYbbSeTt7I3uXJcTA9TKi2lBcq/42HgvyocBGMQQuV2FySIt3V4uiJHrDCXx01ywTg29v7zLylHVQUxplcUpZ8MQuZuh0iydRxTjou7b8dJKTPODmGwvrEwCGMQQuZ24ChMWoEFYoPaS46QgJt+9QUzNVlJAk0+jd7YQfzW0KvtlqqCcW0rkfcStpPBArcvOI3JG115v7BEDMIghcrvTF6+8lQTUBDFZRZVuXYXwlB4xgH2/X0ruLeWWEnmfXBecmVRXvDNyYqSVGPl/7puCQQyRm4mJulcKYiICtQgL0EAQahKB3eFcof1iJndSr4h5MeTNsl2cDwM4ZztJXImJC5XnwNnmYhBD5GaNqUwC7KsQcuTFeEqPGFEky6zJi+W6sDJJJCb25pZUwWJteq8Yk8WGC6X2eXI7iYguqzGVSSI5ghhxSTreY4IYllmT98px4blJoqggHbQqJaw2AbklTe8Vk2uogiAAWrUSkYHOPWXb1RjEELmRzSbg9MXq7aToKwcxYqDjriBGEATPW4kJtl9U85kTQ17IHTkxSqVC2gZqTnJvVnH1ga+h/lDKeOBrczCIIXKjbEMlqsw2aFQKJDRi2TYpxr0HQRaWm1BhskKh8JxSS+bEkDcTc2JcuZ0EtOwMpezi6q0kD/mZbwoGMURuJG4ltY8IhFp15R8/cTsp42I5zM3Y624qcRUmJtjPZeWgTcWcGPJWgiDUWolxbYAgBiDNCWK8tVsvwCCGyK1OXeHgx7ri9H4I0KpgsQk4W9D88snG8rStJKCm4R1zYsjblFRZUGGyt0eIdVGjO5FYoXS+uOnXCfEx3pbUCzCIIXKrmsqkK+fDAPYKJXfmxYif4uI9pLwaqMmJ4UoMeRtxFSY0QAN/rWtXNsWf2WatxHhpt16AQQyRWzWlMkmUVL2l5I5eMecKPG8lRsyJKa4wu2VLjchZas5Mcn1wIDapO9+M85NqesQwiCGiy2jqdhJQU8XkjpUYT9xOCvXXQFVdMVHALSXyIjluqEwSidtJ2cWVsNqERj/OZhOkxF5vO/wRYBBD5DalVWZcKLFviTR2OwmoSe51x2nWmUU15yZ5CqVSgYhAJveS98lxQ6M7UUyIH9RKBcxWAXmlje8Vc7HMCJPVBqXCPfN0NgYxRG4ibiVFBumadDq0GMScyiuHrQmfsJrKbLVJJ9l60koMULOllM8ghrxIrrid5OKkXgBQKRVo04xeMeL2U0yIHzSNqJj0NN43YyIvJTW5a8JWEgC0Dw+ARqVApdkq9ZxwhZziKtgEQKdWShVBnoKHQJI3kraT3JRrEh/a9F4x3pzUCzCIIXKbU3nVSb2N6NRbm1qlRGKkPfBxZV6MmA8TH+Z5XTtZZk3eyJ05MUBNiXRTknulHjFemA8DMIghchupvDqyaSsxgHvOUPLEpF4Ry6zJG7nj8Mfaak6zbnyvGK7EEFGjSOXVTVyJAYBObugV44lJvSJ27SVvU1plRpnRAsD1je5Ezena683l1QCDGCK3sNoEZFy0BzGdmlCZJHJHmbVHr8RUbyexxJq8hbgKE+KnRqBO7ZbXFM9Pak5iL7eTiOiSsooqYLLaoFUrm/WJJynafhDkn3llEATXVChlFXrySgy3k8i7iPkw7lzhkLaTiisbXckoBjzxXIkhoksRt5KuigyUGrc1xVVRgVAoAEOl2WXJreJKTEIYgxiilspx0+nVtcXq/aBUACaLDRfLr/yzUlJlRmn1lhdXYojokmo69TZ9KwkA/DQqKbhwxZZSaZUZRRVmAECCB52bJIoMtufEFJabmtSNlEgu7q5MAgCNSikdcdCYvBhxFSYsQIMArXu2vJytyUHMr7/+ijFjxiAuLg4KhQLffPONdJ/ZbMbzzz+P5ORkBAYGIi4uDg888ACys7MdnsNoNGL69OmIjIxEYGAgxo4di6ysLIcxRUVFmDRpEvR6PfR6PSZNmoTi4uJmvUkiudUc/Nj0yiSRVKHkgjOUMgtrLmbBfo1vxOcu4QFaKBSATbAHMkSeTqpMCnHvh4KmJPd6e3k10Iwgpry8HL169cLSpUvr3VdRUYH9+/fj//7v/7B//358/fXXOHHiBMaOHeswbubMmVi/fj3Wrl2Lbdu2oaysDKmpqbBardKYCRMmID09HWlpaUhLS0N6ejomTZrUjLdIJL9TzTj4sa6azr3OD2I8OakXsPfKCQ9ghRJ5j5pGd+5t5S/mxTQmudfby6sBoMnrR6NGjcKoUaMavE+v12PTpk0Oty1ZsgTXX389zp07h3bt2sFgMGD58uVYtWoVhg4dCgBYvXo1EhISsHnzZowYMQLHjh1DWloadu7ciX79+gEAPvroI6SkpOD48ePo0qVLU6dNJKvTLdxOAlzbKybTg5N6RZFBOhSUmxjEkFeoOcFaniCmMb1iaoIYz/25vxKX58QYDAYoFAqEhoYCAPbt2wez2Yzhw4dLY+Li4tCjRw9s374dALBjxw7o9XopgAGAG264AXq9XhpD5C0MFTXJuIlO2E5yxUGQntwjRiTmxTCIIW8gR04M0LSuvTU9Yrzv4EeRSzN5qqqq8MILL2DChAkICQkBAOTm5kKr1SIsLMxhbExMDHJzc6Ux0dHR9Z4vOjpaGlOX0WiE0VhzcSspKXHW2yBqkVPVZybFhvghqAX9IsQg5kKJESVVZoQ4MXfF07eTgFoVSqXMiSHPVma0oLSqutGd3r1bNWKvmMbkxGRVBzrxrSknprHMZjPuvfde2Gw2vPfee1ccLwgCFIqa0tPaf77UmNrmz58vJQHr9XokJCQ0f/JETiTmsHSMbv4qDACE+GkQXd1+39l5MZkeXF4tYpk1eQsxqTdYp27RB5fmqEnsrbhiTykpsZfbSY7MZjPGjx+PjIwMbNq0SVqFAYDY2FiYTCYUFRU5PCYvLw8xMTHSmAsXLtR73vz8fGlMXXPmzIHBYJC+MjMznfiOiJrPGUm9oqQY5+fF2GwCMqsvZt6wEpPPIIY8XK5MSb3iayoUQJXZdtlKviqzVfpA0Kqqk65EDGD+/PNPbN68GREREQ739+3bFxqNxiEBOCcnB4cPH0b//v0BACkpKTAYDNi9e7c0ZteuXTAYDNKYunQ6HUJCQhy+iDzB6RYc/FiXK85Qyis1wmSxQaVUyHLRbaya85O4nUSeLVtqdOf+4ECnViEm2P5zfLktJTFnx1+jQliA57VVaKwmr3OVlZXh5MmT0t8zMjKQnp6O8PBwxMXF4a677sL+/fvx/fffw2q1Sjks4eHh0Gq10Ov1mDJlCmbNmoWIiAiEh4dj9uzZSE5OlqqVunXrhpEjR+KRRx7BBx98AAB49NFHkZqaysok8jpSo7tmHPxYlysqlMSk3jZ6P2hUntv/UjrJupQrMeTZpJUYNx38WFfbMH/kllThfHEleiWENjimdo+YS6VpeIMmBzF79+7F4MGDpb8/88wzAIDJkydj7ty52LBhAwCgd+/eDo/75ZdfMGjQIADAokWLoFarMX78eFRWVmLIkCFYuXIlVCqVNH7NmjWYMWOGVMU0duzYBnvTEHkys9WGswX2IMEZ20kdXdDw7lyB5yf1AkAUc2LIS4irHO48cqC2+DB/7DtbdNky6/PF9vu8uUcM0IwgZtCgQZdNFmrM4XR+fn5YsmQJlixZcskx4eHhWL16dVOnR+RRMgsrYLEJ8NeoEOuET2XiQZCZhRWoMlvhp1Fd4RFXJq7EeHoQI51kXW6CzSZA2YwzqIjcIdcgb+lyY7r21pRXe3cQ47lrx0Q+QEzqvSoq0Cm/dCODtND7a2ATgIyL5S1+PqDWwY8eHsSEB9pzYqw2AcWVZplnQ3RpNSsx8gQIYpn15br2+kJ5NcAghsilWnrwY10KhaJW0zvnbCl5Q7deANCqldD72xMQuaVEnkyuRneimq69V16J8fbtJAYxRC502gkHP9bl7Aol8fDHBC/4RCZVKDG5lzxUhckCQ/VKoVw5MbW79l4qxUOsoPLm8mqAQQyRSzmzR4zImQdBVpmtyC2xf2r09JwYgL1iyPOJlUmBWhWC3dzoTiSurpQZawKq2qw2ATnFVQ5jvRWDGCIXcvZ2EgB0cmLDO/F8lUCtSso58WRimXUBe8XI7t2f/sQtb2/B4fMGuafiUWoa3clXuuynUUkBf0NbSnmlVbDYBKiVCsTIVAbuLAxiiFyksNyE4gr7p6BEJzS6E4nbSacvlsFitbXouWon9XpDrwiWWXuGCpMFy7aewumL5Xh45R5kN+KwwdYiW+Z8GNHl8mLEfJhYvR9UXl7lxyCGyEXEVZi2of7w17a8FFrUNtQf/hoVzFZBCkKay1uSekU1XXsZxMhp09ELqDBZAdg7Pj+8cg/KjBaZZ+UZxPJqZ7RUaImaIKb+NUJcgfX2rSSAQQyRy9Qc/Oi8rSQAUCoVUqJwS7eUvOHgx9pqDoHkdpKcvvn9PADgrr7xiAzS4Y/cUkz/bH+LVwZ9gdyVSaLayb11ZflIZRLAIIbIZU458cykupKc1LlXXMlpF+4dFzOeZC2/gjIjfv3zIgDgiUEd8a/J18JPo8Qvx/Px6ndHG9Xw1JfVzomRk9grpsHtpGLfqEwCGMQQucxpsTLJySsxQK0zlC60NIipPr06wktWYnh+kux+OJQDq01Acls9OkYFoXdCKBbf0wcKBbBq51l8/L8zck9RVtkyHzkgir9M195sbicR0ZXUVCY5fyWmkxNWYgRBQJbXbSfVnGTd2j/xy0XcSrqtd5x028gesXhxVDcAwN9+OIqNR3JlmZsnEHNi5N5OEnNizjeUE1PElRgiugyjxSpt1XRyYnm1qHavmOb+Mi+uMKO0Ohkz3muCGPtKjMlqQ0kVE0nd7VxBBfafK4ZSAYztFedw319uSsTEfu0gCMBTa9NxMKtYnknKqMpsRVF1RWKbEHkDBDFAKamyoKSqpleMIAhM7CWiyztXUAGbAATp1Iiq3gJxpvYRgVArFSg3WaVEwqYSD36MCtY5tXrKlfw0NQ3EmBfjft+m21dh+neMRHSd6huFQoFXx3bHwM5RqDRbMeWTvQ0mlfoyMR8mQKtCiL88je5EAVq11Pup9hlKxRVmqbLM2w9/BBjEELlE7a0kV/Rf0aiU6BDZsgqlmqRe71iFETEvRh6CIOCb9PpbSbWpVUosndAHXWODkV9qxMMr9qC0qvUc1plTKx/GE/ouNdQrRgwsI4N08NN4x4eXy2EQQ+QCrjhuoC5xm6q5B0F6bRBTKy+G3OdIdglO5ZdDp1ZiZI/YS44L9tPg4wevQ3SwDscvlGLqmv0wt5LS6xwPyYcRtQ2t3yumprzaM+bYUgxiiFzglAsOfqxLSu5tZhDjTQc/1sYya3mICb1Du8Ug2E9z2bFxof5YPvk6+GtU+O3Pi3hlw5FWkYgtrcTInA8jqknurb8S4wtJvQCDGCKXcMtKTAsPgvS2br0iBjHuZ7UJ2HAgG8Clt5LqSo7X4x/39oZCAXy26xw++u20K6foEXI9pNGdqKFeMb5UXg0wiCFyOkEQcNpF3Xpra2mZtZjY633bSQxi3G3n6QLklRqh99dgUJfoRj9uePdY/HX01QCA+f/9A2mHc1w1RY8gdev1kK0aMVCpnWB93oe69QIMYoicLr/MiFKjBUoF0N6FTeQ6RgVBobAfNFnQxF/oFqtNuph53UpMsD0nJr+UOTHuIm4l3ZrcBlp1035tPHxjBzyQ0h6CAMz8Ih3pmcUumKFn8LScmPjw+jkxNdtJ3vVzfykMYoic7FSefSspITwAOrXrsv/9tSrp01RT82JyDFWw2ARoVUrEyHxQXVNFBHIlxp2qzFakHbY3r7u9kVtJtSkUCrycejUGd4lCldmGv3yyR9rK9DW5HpYTI14fiirMKK/uCeVLPWIABjFETldTXu26rSRRc7eUxK2ktmH+UCnlLwVtiqhgnmTtTj//kYdSowVxej9c1yG8Wc+hVimxZMI16NYmBBfLTHh45R4YKn2r9LrKbEVBuX110FNWYoL9NND725OwzxdXosJkQWH1HJnYS0QNEs9McsXBj3UlNbNCyVuTegHHnJjWUPEiN3EraWzvtlC2IOAN0qnx8YPXIiZEhz/zyjDNx0qv80rsQbWfRonQgMtXb7lTTa+YCimpN1inloIbb8cghsjJpJUYFyb1ippbZu1tp1fXJgYxVWYbyqs7j5JrGCrM2HI8HwBwe5+mbyXV1UZvL70O0Kqw7eRF/HX9YZ8JRGvyYfw9otGdSEruLaqUqpR8oVOviEEMkZPJsp3U5JUYsUeM963EBOrU8K/uNMquva71n8M5MFlt6BobjK6xIU55zh5t9VhyXx8oFcAXezOxbKtvlF7X9IjxjK0kUe0ya1/rEQMwiCFyqiqzVbpQuLLRnahTVDAA+wW0zNj4AxG9tVuvSKxQKihnEONKNSdWt3Xq8w7pFoOXU+2l12+m/YEfDnp/6XWOh/WIEbWtdfSAr/WIARjEEDlVxsVyCAKg99cgovrwNVfSB2ik7ZWmNL0TSy69MScGqNlSYpm162QXV2JXRiEAYGwzqpKu5MEbE/Fg/w4AgKfXpWPf2SKnv4Y75VZvJ8V6WBAj5cQUV9b0iOFKDBE1xNUHPzakqcm95UaLdO6QtwcxrFByHbFD7/WJ4S775P5/qVdjaLdomCw2PPrpXpwr8N7S65pGd54VINQcPVDhc+XVAIMYIqc67YbjBuoS82IaexCkWF6t99d4bYUCgxjXE7eSbnfyVlJtKqUC/7i3D7rHhaCg3ISHVu6GocI7S6+lIMbTcmJC7R9ULpaZpOsTV2KIqEE1Bz+6P4hp7EqMlNTrhZVJoqgg9opxpeO5pfgjtxQalQK3Jl/6xGpnCNSp8fGD16GN3g+n8svx+Op9MFm8r/RaSuz1sO2kEH81gnVqAJD62MT70EqMWu4JEPmS2ttJ7iIdBNnIhnfentQLAJHB1SsxzIlxiW/S7aswg7pEIzTA9bldMSF+WD75Oty9bDt2nC7AgDd/hp/Gud2uI4K0eG1sDyTH6536vABgstikgNrTEnsVCgXahvnjj9xSAIBWpZRWMn0BgxgiJxEEoWY7yQ09YkRiTszZgnIYLdYrHnUgNbrzwvJqEbeTXMdmE7Ah3Z4P48qtpLqujgvB0onX4LFP9yHPBaXz5wor8Mine/Hd9AGICnbuL/ELJfZVGK1aiXA3JPQ3VXytIKZNqF+LmhZ6miYHMb/++iveeust7Nu3Dzk5OVi/fj1uv/126X5BEPDqq6/iww8/RFFREfr164d//vOf6N69uzTGaDRi9uzZ+Pzzz1FZWYkhQ4bgvffeQ3x8vDSmqKgIM2bMwIYNGwAAY8eOxZIlSxAaGtr8d0vkQrklVagwWaFWKty6yhEVrEOwnxqlVRZkXCy/Yj8Pb+7WK2IQ4zp7zxbhfHElgnRqDOnW+BOrnWFwl2hse2GwtOXpLIIg4PmvDuJUfjmmrdmPNY/0g0blvGyK2uXVntToThRf6wOLLyX1As0IYsrLy9GrVy889NBDuPPOO+vdv2DBAixcuBArV65E586d8be//Q3Dhg3D8ePHERxs72kxc+ZMfPfdd1i7di0iIiIwa9YspKamYt++fVCp7J8iJ0yYgKysLKSlpQEAHn30UUyaNAnfffddS94vkcuIBz+2iwhw6gXyShQKBTpFB+H3c8U4mVd2xSDGJ7aTpJwYbic5m7iVNLJHrNO3dBojOtgP0cHO35L58IFrcdvS/2H3mUK88cMxzB3b/coPaiSxW6+nNboT1Q5cWn0QM2rUKIwaNarB+wRBwOLFi/HSSy9h3LhxAIBPPvkEMTEx+Oyzz/DYY4/BYDBg+fLlWLVqFYYOHQoAWL16NRISErB582aMGDECx44dQ1paGnbu3Il+/foBAD766COkpKTg+PHj6NKlS3PfL5HLuLNTb12domqCmMsRBEGqTvLqlZjq7YAyowVVZqssv2x9kcliw38O2RvPuXMryR06RgVh4fheeHTVPqzcfga9EvS4o0/8lR/YCLke2uhOFF+rGsmXKpMAJ1cnZWRkIDc3F8OHD5du0+l0GDhwILZv3w4A2LdvH8xms8OYuLg49OjRQxqzY8cO6PV6KYABgBtuuAF6vV4aU5fRaERJSYnDF5E7nZYqk9yX1CtKimlchVJ+mRFVZhsUCu/+RBasU0Ortl++8nn0gNNsPZGP4gozooN1SOkYIfd0nG5491hMv6UTAOCFrw7h8HmDU563pjLJM3+mfHk7yalBTG5uLgAgJibG4faYmBjpvtzcXGi1WoSFhV12THR0/b3Y6OhoaUxd8+fPh16vl74SEhJa/H6ImuKUDD1iRI0tsxbzYeL0/lIQ4I0UCgWimBfjdOJW0phecVD5UPJnbTOHdsagLlEwWmx4fPU+FJW3fEtSXImJC/XMlZi2XIlpmrqJTYIgXDHZqe6YhsZf7nnmzJkDg8EgfWVmZjZj5kTNJ+92kj3f7PTFclhtlz4VWEyYjPeBCxnzYpyrtMqMzUcvAPC9raTaVEoF/nFPH7SPCEBWUSVmrP39sj8zjeHpOTFhARqEB2qhUACJke5fKXYlpwYxsbH2pkh1V0vy8vKk1ZnY2FiYTCYUFRVddsyFCxfqPX9+fn69VR6RTqdDSEiIwxeRu5QbLdKSsjt7xIjahvlDp1bCZLFJqy0N8YWkXlEEV2Kc6scjF2C02HBVVCB6tPXt66c+QIMPJvWFv0aF3/68iLc3Hm/R89VUJ3nmhwOFQoGPHuiLZff39dg5NpdTg5jExETExsZi06ZN0m0mkwlbt25F//79AQB9+/aFRqNxGJOTk4PDhw9LY1JSUmAwGLB7925pzK5du2AwGKQxRJ4k46J9KykiUOuW5mB1qZQKqUvw5baUfKG8WiStxDAnxim+Ta85ZsATy4SdrWtsCN68qycA4P0tp/DfQ807SdtstSG/OpD2tG69tfVtH44R3V3bfVkOTa5OKisrw8mTJ6W/Z2RkID09HeHh4WjXrh1mzpyJefPmISkpCUlJSZg3bx4CAgIwYcIEAIBer8eUKVMwa9YsREREIDw8HLNnz0ZycrJUrdStWzeMHDkSjzzyCD744AMA9hLr1NRUViaRR5JzK0mUFB2EYzklOJlfhqFoeMXSl1Zi2CvGefJKq/C/kxcBALe54MRqTzW2VxwOZRXjo98yMPvLA+gUHYSkmOAmPUdeqRGCYO+E646T68lRk4OYvXv3YvDgwdLfn3nmGQDA5MmTsXLlSjz33HOorKzE1KlTpWZ3GzdulHrEAMCiRYugVqsxfvx4qdndypUrpR4xALBmzRrMmDFDqmIaO3Ysli5d2uw3SuRKYlKvHJVJIukgyAutZSVGDGKYE9NS3x3IgU0A+rQLRfsI38qZuJLnR3bFkewSbD9VgEdX7cO3T96IEL/GH4yaU30ydIxe51OdcL1Fk4OYQYMGQRAunQSlUCgwd+5czJ0795Jj/Pz8sGTJEixZsuSSY8LDw7F69eqmTo9IFp6wEiNVKF3iDCWTxYac6vbo3nz4o0jsFZPPlZgWE7eSbuvVelZhRGqVEkvu64OxS/+HjIvleOaLdHw46dpGByQ1p1d7/8+UN/LeGksiD3KqOg+lY7T8KzGn8soa/KBxvrgSggD4aZRSebI3i+RJ1k5xOr8MB7MMUCkVSG2FQQxgTxJfdn9faNVKbD6WhyU/n7zyg6rleujp1a0FgxiiFrLZBCmx96pI+VZiOkQEQqVUoMxowYWS+r/Yax/86AuJm2IgVsDtpBb5pvqwxwGdIn3qdOOmSo7X443bewAAFv90Aj//Ub9CtiE5Ht6t19cxiCFqofPFlTBabNCqlLL2X9GqlWgfYc91aahCyZeSeoGanBhDpRkmi03m2XgnQRBqqpL6tM5VmNruvjYBk25oD0EAnlqbLn04uZzcEntODIMYeTCIIWohMR+mQ2QA1G48+LEhnapzcv7MK613ny8l9QKA3l8DdXXeQkE5t5SaIz2zGGcLKuCvUWH41b5Xftsc/5d6Na5tH4bSKgseW7UX5UbLZcdnF3v2kQO+jkEMUQudlvG4gboud/yALxz8WJtSqUCE1CuGW0rN8W31VtKwq2MQqGtynYdP0qqVeG/iNYgO1uHEhTI899XByxazePrhj76OQQxRC52S8eDHui4XxPjadhLAXjEtYbHa8P1BexDDrSRH0SF+eP/+a6BRKfDDwRx8+OvpBsdZrDbklTKIkRODGKIW8oTyalFStL0f06kGyqzFc5N8obxaJAYxLLNuum0nL+JimQnhgVrclBQl93Q8Tt/24Xh5THcAwJtpf2DbnxfrjckvM8ImAGqlolUnRcuJQQxRC3nSdpJY4n2xzORwOq+hwgxDpRmAvTrJV3AlpvnEraTRyW2gkTmXy1Pd368d7u4bD5sATP98f71zycR8mJgQPza6kwn/5RK1QEmVGXnVZ/d4wnZSgFaNtqH2lZbaTe/EfJjIIK1P5T5EBjMnpjkqTBb8eMR+UC+3ki5NoVDg9dt7oGe8HkUVZjy+eh+qzFbpfubDyI9BDFELiKsw0cE6BDehVbkrdWwgL0b8BBnvQ6swQE2vGK7ENM2moxdQYbIiIdwf17QLk3s6Hs1Po8L79/dFeKAWR7JL8OL6Q1Kib47BvkXLRnfyYRBD1AKnPSgfRpTUQBDji0m9ALeTmkvcSrqtV+s4sbql2ob6Y+mEPlApFfh6/3l8uuMsAK7EeAIGMUQt4EmVSSLpIMgGghhfSuoFGMQ0R2G5Cb+eyAfAraSm6N8xEnNGdQUAvP79UezOKJTOImvDHjGyYRBD1AKn8jwnqVdU+wwlUWaRfdnb51ZixJwYHj3QaD8czIbFJqB7XAg6VVezUeNMGZCIMb3iYLEJmLpmP45llwDgSoycGMQQtcDpi+LBjx4UxFQHVOeLK6Vuo77WrVckrsQUVZhgsfLogcYQz0q6vXdbmWfifRQKBd68MxldY4NxscyI09XHEjAnRj4MYoiayWK14cxFe3BwVaTnbCeFBWqlE55P55fDahNwvnolxpfKqwEgLEALpQIQBPs2CV1eZmEF9p0tgkIBjGmlJ1a3VIBWjQ8m9UWIX02VH7eT5MMghqiZsooqYbLaoFMrpbJmTyFub53ML8WFkiqYrDaolQqfW/ZWKRUID7QHbGx4d2XiYY8pV0Vw9aAF2kcE4t37+kChsJ/hFRXMRndy8Z2GEURuVpPUG+Rxja46RQdhV0Yh/rxQJn1KbBvmL/sBla4QGaTDxTIT82KuQBAEbiU50aAu0fj6if7QqVVQedjPf2vCIIaomcQeMZ5UmSSqfYZSYvVWl69tJYnseTGluFjKlZjLOZJdgpN5ZdCqlRiZzBOrnaEPe+zIzvc+lhG5iSedmVSXFMTkl/lsUq9IzP9hmfXliVtJQ7pGI8RDGjMStRSDGKJmqgliPG8lRjwI8mxBBU5VV1D4Wo8YEXvFXJnVJmDDgeoGd9xKIh/CIIaomTzp4Me6YkJ0CNKpYbUJ+N9J++m7vtYjRhQZLAYxzIm5lF2nC3ChxIgQPzUGd+WJ1eQ7GMQQNUNRuQkF1SW9npgTo1AopN41xRX206t9NojhSswVfVO9lXRrchvo1CqZZ0PkPAxiiJpBbHIXp/dDgNYz8+M71Vkh8t3EXnbtvRxDpRn/PWw/sZpbSeRrPPPqS+ThTolbSR7UqbeupJiauQXr1AgN8M1kTq7EOCoqN2HPmULszijE7jOFOHzeAJtgb43fLzFc7ukRORWDGKJmkHrEeFCn3rpqr8TEhwf47GnFYqOxwnITbDbB43r2uFpeSRV2ZVQHLRmFOH6htN6YhHB/PDeia6v73pDvYxBD1AzSwY8evBLTqdbc2vloZRIAqWOv1SagqMKEiCDf7Z4qCAKyiiqlgGX3mUJkVFef1ZYUHYTrE8OlL7bFJ1/FIIaoGaSDHz2wMkmUEB4ArVoJk8Xms0m9AKBRKREWoEFRhRkXy3wriBEEAafyy6uDlgLszihEtqHKYYxCAVzdJgTXJ4ajX2I4rusQ7lPfA6LLYRBD1ERmqw3nCqoPfvTAyiSRSqnAVZGB+CO31Gcb3Ykig3TVQYwRXRAs93SazWYT8EduKXZVByy7MwqlKjiRWqlAz3g9rk+MQL/EcFzTPgx6f9/MdyK6EgYxRE10tqACFpuAAK0KsSGefYje+GsTsGJ7BgZ29u3eIJFBOvyZV+b1yb1/+XQvfv4jz+E2nVqJPu1C0a86aOndLtRjK+KI3I0/CURNdLrWcQOeniz78IBEPDwgUe5puJzY8C7fi89PKiw3SQHMwM5R0vZQcryevV2ILoFBDFETnfLggx9bK1/oFbM7oxAA0DkmCJ88fL3MsyHyDk5vdmexWPDXv/4ViYmJ8Pf3x1VXXYXXXnsNNptNGiMIAubOnYu4uDj4+/tj0KBBOHLkiMPzGI1GTJ8+HZGRkQgMDMTYsWORlZXl7OkSNZknH/zYWvlCr5idpwsAADdcFSHzTIi8h9ODmDfffBPLli3D0qVLcezYMSxYsABvvfUWlixZIo1ZsGABFi5ciKVLl2LPnj2IjY3FsGHDUFpa099g5syZWL9+PdauXYtt27ahrKwMqampsFqtzp4yUaPZbAKOZpcAYBDjSaJ8KIjpl8gghqixnL6dtGPHDtx2220YPXo0AKBDhw74/PPPsXfvXgD2VZjFixfjpZdewrhx4wAAn3zyCWJiYvDZZ5/hscceg8FgwPLly7Fq1SoMHToUALB69WokJCRg8+bNGDFihLOnTXRFgiDgte+P4mhOCdRKBXol6OWeElWLkLaTvDOIKa4wSU3q+l3FrrpEjeX0lZgBAwbgp59+wokTJwAABw4cwLZt23DrrbcCADIyMpCbm4vhw4dLj9HpdBg4cCC2b98OANi3bx/MZrPDmLi4OPTo0UMaU5fRaERJSYnDV2tWUmXGrHUHMOfrg1IiKrXMos1/YuX2M1AogLfv7oV4Hz2LyBtJ20ml3pkTsyujEIJgb1IXyR4vRI3m9JWY559/HgaDAV27doVKpYLVasUbb7yB++67DwCQm2s/iCwmJsbhcTExMTh79qw0RqvVIiwsrN4Y8fF1zZ8/H6+++qqz345XulhmxOSPd+NI9bbHF3syMbpnHKYN7oiusSEyz847/eu303j3pz8BAK+N7Y7b+/AgPU8iVicVlBshCILHV43Vteu0PamXqzBETeP0lZgvvvgCq1evxmeffYb9+/fjk08+wdtvv41PPvnEYVzdi0xjLjyXGzNnzhwYDAbpKzMzs2VvxEtlFlbg7mU7cCS7BJFBWtzSNRo2AfjuQDZGLv4Nj366F4eyDHJP06t8secc/vbDMQDAsyO6YFJKB3knRPVEVB89YLYKMFSaZZ5N0zGpl6h5nL4S8+yzz+KFF17AvffeCwBITk7G2bNnMX/+fEyePBmxsbEA7Kstbdq0kR6Xl5cnrc7ExsbCZDKhqKjIYTUmLy8P/fv3b/B1dToddLrWvQx74kIpJi3fhQslRrQN9cfqv/RDYmQgjmQb8N4vp/CfwznYePQCNh69gEFdojD9lk7o256f/C7nh4M5mPP1IQDAYwOvwtRBHWWeETXET6NCsJ8apVUWXCwzIjRAK/eUGs1QYcaxXPuq6fU8ZZqoSZy+ElNRUQGl0vFpVSqVVGKdmJiI2NhYbNq0SbrfZDJh69atUoDSt29faDQahzE5OTk4fPjwJYOY1m7f2SLcvWwHLpQY0TkmCF890R+J1Scsd4/T458Tr8Gmp2/GuD5toVIqsOV4Pu58fwfu+3Antp+8CEEQZH4HnmfL8TzM/OJ32ATgvuvb4YWRXb1um6I1ESuU8r0sL2b3GXs+TMeoQEQHe3YHaCJP4/SVmDFjxuCNN95Au3bt0L17d/z+++9YuHAhHn74YQD2baSZM2di3rx5SEpKQlJSEubNm4eAgABMmDABAKDX6zFlyhTMmjULERERCA8Px+zZs5GcnCxVK1GNrSfy8fiqfag0W9GnXShWPHhdg59EO0UHY+E9vfHU0CQs23oK/96XhR2nC7DjdAGuaReK6bckYVCXKP6iBrDnTCEeX70PZquA1J5t8Lfbe/D74uEig3Q4fbHc6yqUpNJqbiURNZnTg5glS5bg//7v/zB16lTk5eUhLi4Ojz32GF5++WVpzHPPPYfKykpMnToVRUVF6NevHzZu3Ijg4JqD2xYtWgS1Wo3x48ejsrISQ4YMwcqVK6FSsf12bd8dyMYz69JhtgoY2DkK799/zRXPVWkfEYj543pi+i1J+PDX0/h89znsP1eMh1buQY+2IXhycBKGXx0DpbJ1/tI+fN6Ah1fsQZXZhsFdorBwfG+oWun3wptEBtsD9wIvC2J2ZTAfhqi5FIKP7iOUlJRAr9fDYDAgJMQ3K3JW7TyLl789DEEAxvSKwzt394JW3fQdwrzSKvzrtwys3nkWFSZ7M8HOMUGYNrgTUnvGtapf4CfzyjD+gx0oLDfh+sRwfPLQ9fDXMnD2Bi9/exif7jiLJwd3wuwRXeSeTqMYKs3o/dpGCAKw+8UhiPbwA0WJ3KEpv7+dnhNDricIAt796U/83zf2AGbSDe2x+J7ezQpgACA62A8v3toN256/BdNv6YRgnRonLpThqbXpGLpwK9btzYTZarvyE3m5rKIKTFq+C4XlJiS31WP55GsZwHgRbzx6YG91PsxVkYEMYIiagUGMl7HZBLz63VEs3GRvJjhjSBJeu627U1ZLwgO1mDW8C7a9cAtmDeuM0AANMi6W47l/H8Sgt7Zg9c6zqDL75rEP+aVGTFq+GzmGKnSKth/AF+ynkXta1ATeGMQwH4aoZRjEeBGz1YZZXx7Ayu1nAABzx1yNZ4Z1dnrCqd5fg+lDkvC/52/Bi7d2RWSQDueLK/HXbw5j4Fu/YPm2DJ8KZgwVZjzw8W5kXCxHfJg/Vk/ph/BA7ynRJTvxJOt8LzrJemd1k7sb2OSOqFkYxHiJSpMVj63ah/W/n4daqcDie3rjwRsTXfqagTo1Hr25I7Y9Pxivju2ONno/XCgx4vXvj2Lowq1IO5zj9aXZFSYLHlq5G8dyShAZpMPqKf0Qq+eyvjcSu/ZeLPWOlZiSKjOOZNsbT/LQR6LmYRDjBQyVZjzw8S78/Ece/DRKfPTAtW5te++nUWFy/w7Y+uxgzB+XjNgQP2QVVeLx1fsx8V+7cDy39MpP4oGMFntguP9cMfT+Gqz+y/XoUN1bh7xP7ZOsvSG43numEDYB6BARwMCZqJkYxHi4vNIq3PPBDuw5U4QQPzVWT+mHwV2jZZmLVq3Efde3w8+zB2L6LZ2gVSux/VQBbn33N7zy7WEUV3jPMr7FasNTn6fjtz8vIkCrwoqHruO5Ul5OzIkxWmwoM1pkns2V7ZK2krgKQ9RcDGI82LmCCtz1/g78kVuKqGAdvngsBdd2kH/vPECrxqzhXfDTMwMxsnssrDYBn+w4i8Fvb8GqnWdhtXn2p2CbTcALXx9C2pFcaFX2la1r2oVd+YHk0fy1KgRWV5Nd9IK8GJ6XRNRyDGI81LGcEty5bDvOFVagXXgAvnq8P7q18ayVgoTwACyb1Bdr/tIPnWOCUFRhxv99cxij3/1NukB7GkEQ8Nr3R/HvfVlQKRVYMqEPbuwUKfe0yEmkvBgPr1AqrTLj0PnqfBgm9RI1G4MYD7T3TCHGf7AD+aVGdI0Nxr+fSEG7iAC5p3VJN3aKxH9m3IRXx3aH3l+DP3JLce+HOzFtzX5kFVXIPT0Hizf/KVV3vXVXT4zoHivvhMippDJrD0/u3Xu2CDYBaB8RgDZ6f7mnQ+S1GMR4mF/+yMP9y3ehtMqC6zqE4YvHUrziUDi1SonJ/Tvgl9mDcP8N7aBUAD8cysGQd7Zi0aYTqDTJX5L9r99O4x8//QkAeHVsd4y7Jl7mGZGzRVSXxnv6SozUH4anVhO1CIMYD/LN7+fxyKd7UWW24Zau0fj04X7Q+3tXw7XwQC3+dnsyvp9+E/olhsNoseEfP/2JoQu34vuD2bJVjazbk4m//XAMADBrWGdM7t9BlnmQa4nbSZ7eK4ZJvUTOwSDGQ6z4XwZmfpEOi03AHX3a4oNJfb265f3VcSFY++gNWDqhD+L0fjhfXIknP/sd9364E0ezS9w6l/8cysELXx8EADxyUyKevKWTW1+f3McbuvaWGS218mEYxBC1BIMYD7Bm11m8+t1RAMBDN3bAO3f3gkbl/f9rFAoFUnvG4adZgzBzaBJ0aiV2ZRQidclveGn9IRSWu/7T8tYT+Xhq7e+wCcA91ybgxVu7Ob3DMXmOqOquvZ6cE7P3TCGsNgEJ4f5oG8p8GKKWUMs9AQI+qU40nTqoI54d0cXnfsn6a1WYObQz7uobj/n/+QM/HMrBml3n8N2BbDwzrDPuv6E91M0I2mw2AQXlJuSVViG/1Ii8UqP9vyVV0p8PnTfAbBUwOrkN5o1L9rnvLTnyhpWYXRnVW0ns0kvUYgxiZJZXUoUTF8qgUACP3HSVT/+SjQ8LwD8nXoP7TxXg1e+O4I/cUsz97ig+230Or4zpLpU6Gy1Wx6Ck1Ij86sCk5rYqXCwzNaonzeAuUVh0T2+nHJJJnq2mxNpzc2J46COR8zCIkdm2kxcBAD3i9AhrJYcOpnSMwPfTB+DzPZl4Z+NxnLhQhon/2oUOEQEorjSjuMLc6OdSKOwVKVHBfogK1iG69leIH9ro/dArPhRKBjCtgqevxJQbLTiUJZ6XxMokopZiECMzMYgZkNS6Gq6pVUpMuqE9xvRsg0WbTmD1rnM4U1DTU0ajUiAqSIeoEL9agYkfokN0iArSITrE/veIIK1P5A+Rc4gnWVeYrKgwWRCg9axL3L6zRbDYBLQN9UdCuOf2fiLyFp71E97KCIKAbX/ag5ibWmnX2NAALV69rQf+ctNVOFtQIa2mhAZofHprjVwjSKeGTq2E0WJDQZkJAeGedYnblcGjBoicybN+wluZk3llyCs1QqdW4pr2rfvsnoTwAH4ypRZTKBSIDNLhfHEl8suMHvdvaqfUH4ZbSUTOwHV4Gf1WvQpzfWI4/DTe2xOGyJNIyb0eVmZdYbLgQGYxAK7EEDkLgxgZSfkwrXQricgVpF4xHlahtP9ssZQPEx/G/jBEzsAgRiZmq00qtWxtSb1EruSpFUq1z0tivheRczCIkcnv54pRYbIiIlCLbrEhck+HyGd4ahDDpF4i52MQIxNxK6l/p0j2MCFyosggzzvJutJkRXp1Pkw/JvUSOQ2DGJls+zMfADCgEz+VETlTTWKv5+TE7D9XBLNVQBu9H9p5WMUUkTdjECODkiozDlR37RyQFCXzbIh8iyduJ+06XbOVxHwYIudhECODnacKYLUJSIwM5Cm2RE4mBjH5HhTEiP1heNQAkXMxiJHB/1haTeQyUdVBTGmVBVVmq8yzAarMNfkwTOolci4GMTL4rZWel0TkDiH+amhU9i2bgnL582L2nyuCyWpDTIgO7SOYD0PkTAxi3Cy7uBKn88uhVPBTGZErKBQKRAR6TtfeXdJRA8yHIXI2BjFuJpZW90oIhd5fI/NsiHxTZLDnlFnXNLnjhxYiZ3NJEHP+/Hncf//9iIiIQEBAAHr37o19+/ZJ9wuCgLlz5yIuLg7+/v4YNGgQjhw54vAcRqMR06dPR2RkJAIDAzF27FhkZWW5YrpuJZ5azXwYItfxlAqlKrMVv0v5MEzqJXI2pwcxRUVFuPHGG6HRaPDf//4XR48exTvvvIPQ0FBpzIIFC7Bw4UIsXboUe/bsQWxsLIYNG4bS0lJpzMyZM7F+/XqsXbsW27ZtQ1lZGVJTU2G1yp+o11w2m8CkXiI3qAli5M2JSc8shsliQ3SwDomRgbLOhcgXqZ39hG+++SYSEhKwYsUK6bYOHTpIfxYEAYsXL8ZLL72EcePGAQA++eQTxMTE4LPPPsNjjz0Gg8GA5cuXY9WqVRg6dCgAYPXq1UhISMDmzZsxYsQIZ0/bLf7ILUVBuQkBWhX6tAuTezpEPksqs5Y5J0baSmI+DJFLOH0lZsOGDbj22mtx9913Izo6Gn369MFHH30k3Z+RkYHc3FwMHz5cuk2n02HgwIHYvn07AGDfvn0wm80OY+Li4tCjRw9pTF1GoxElJSUOX55GXIXplxgOrZrpSESu4ilHD9Qk9XIricgVnP6b9PTp03j//feRlJSEH3/8EY8//jhmzJiBTz/9FACQm5sLAIiJiXF4XExMjHRfbm4utFotwsLCLjmmrvnz50Ov10tfCQkJzn5rLSaWVt/IrSQil4oKlj8npspsxf5zRQCY1EvkKk4PYmw2G6655hrMmzcPffr0wWOPPYZHHnkE77//vsO4ukurgiBccbn1cmPmzJkDg8EgfWVmZrbsjTiZ0WLF7upTbG/iUQNELuUJOTEHMothtNgQGaRDxyjmwxC5gtODmDZt2uDqq692uK1bt244d+4cACA2NhYA6q2o5OXlSaszsbGxMJlMKCoquuSYunQ6HUJCQhy+PMm+s0WoMtsQFaxD55gguadD5NPEIKZAxpWYXRk1W0nMhyFyDacHMTfeeCOOHz/ucNuJEyfQvn17AEBiYiJiY2OxadMm6X6TyYStW7eif//+AIC+fftCo9E4jMnJycHhw4elMd6mdlUSL2hEriXmxBRVmGG22mSZQ+2kXiJyDadXJz399NPo378/5s2bh/Hjx2P37t348MMP8eGHHwKwbyPNnDkT8+bNQ1JSEpKSkjBv3jwEBARgwoQJAAC9Xo8pU6Zg1qxZiIiIQHh4OGbPno3k5GSpWsnbiP1hmA9D5HphAVqolApYbQIKy02ICfFz6+sbLTX5MClM6iVyGacHMddddx3Wr1+POXPm4LXXXkNiYiIWL16MiRMnSmOee+45VFZWYurUqSgqKkK/fv2wceNGBAcHS2MWLVoEtVqN8ePHo7KyEkOGDMHKlSuhUqmcPWWXM1SYcfC8AQD7wxC5g1KpQHigFvmlRuSXGt0exBzMMqDKbENkkBYdo7h9TOQqTg9iACA1NRWpqamXvF+hUGDu3LmYO3fuJcf4+flhyZIlWLJkiQtm6F7bT12EIABJ0UGI1bv3YkrUWkUG6ZBfapSlQmlXraMGuH1M5DpsVuIGLK0mcr+aXjHur1DaWd0fph+3kohcikGMG4hJvTclMYghcpcomc5PMlls2Hu25uRqInIdBjEulllYgbMFFVArFaxSIHKjSLHhnZuPHjh0vhhVZhvCA7VIimY+DJErMYhxsW3VqzB92oUiSOeSFCQiaoBcRw9IW0mJ7A9D5GoMYlyMpdVE8pCra6/YH4ZbSUSuxyDGhWw2Af87xXwYIjlEyJATY7basPdM9XlJTOolcjkGMS50JLsExRVmBOnU6BkfKvd0iFoVObaTDmYZUGm2IixAg87RwVd+ABG1CIMYFxLzYW64KgIaFb/VRO4kVicVlptgtQluec1d1Ye8Xp8YDqWS+TBErsbfrC607WQ+AGBAJ+6NE7lbeKAWCgVgE+yBjDuISb3MhyFyDwYxLlJltmJP9d74gKQomWdD1PqoVUqEBbhvS8lstWHfGQYxRO7EIMZF9pwphMliQxu9HzpGBco9HaJWyZ15MYfPG1BusiI0QIMuMcyHIXIHBjEuUru0mr0iiOQR6cYKpV0Z9lWY6zswH4bIXRjEuMg2HjVAJDspiCl1fU6M2B+GnbmJ3IdBjAsUlBlxJLsEANC/I4MYIrm4ayXGYrVhT4aYD8P+METuwiDGBbafsn8i6xobjKjq81uIyP0ig91zkvWR7BKUm6wI8VOja2yIS1+LiGowiHEBMR9mAI8aIJKVu1ZixK2k6xMjoGI+DJHbMIhxMkEQpHyYAcyHIZJVlJuCmF3cSiKSBYMYJztTUIHzxZXQqpS4PpEXNCI5uWMlxjEfhkm9RO7EIMbJxFWYa9qHIkCrlnk2RK2bmBNTUGZCZmGFS17jaE4JSo0WBPup0a0N82GI3IlBjJNt+1M8aoBbSURyiwzSIcRPDYtNwJCFW7Fw43FUmCxOfY1dp2v6wzAfhsi9GMQ4kcVqkyqTeNQAkfw0KiX+/UR/pFwVAZPFhnd/Pokh72zFhgPZEATnHAopJvVyK4nI/RjEONGh8waUVlkQ4qdGclu93NMhIgCdY4Lx2SP98P7Ea9A21B85hirM+Px33PPBThw+b2jRc1ttAnbzvCQi2TCIcSKxtLp/x0guKxN5EIVCgVHJbfDTrIF4Zlhn+GmU2H2mEGOWbsOcrw+hoJmJv8dySlBaZUGwTo2r45gPQ+RuDGKciKXVRJ7NT6PCjCFJ+HnWIIzpFQdBAD7ffQ6D396Cj7dlwGy1Nen5xK2k6xKZD0MkBwYxTlJutGD/uSIATOol8nRxof5Ycl8frHssBVe3CUFJlQWvfX8Ut/7jN/xWnZzfGDurk3r7sZ0CkSwYxDjJ7jOFMFsFxIf5o31EgNzTIaJGuD4xHN9NH4B5dyQjPFCLP/PKMGn5bjzy6V6cLSi/7GOtNgG7M5jUSyQnBjFOUvuoAYWCy8pE3kKlVGBCv3b4ZdYgPHRjB6iUCmw6egHDFv6KBWl/oNzYcEn2H7klKKmyIEinRnfmwxDJgkGMk/yP+TBEXk0foMErY7oj7ambcFNSJExWG97bcgq3vLMF63/PqleSLW4lXdshDGoVL6VEcuBPnhPklVbhj9xSKBT2yiQi8l5JMcH49OHr8eGkvmgXHoALJUY8/cUB3Pn+dhzMKpbG7WJ/GCLZMYhxgu0n7Rez7nEhCA/UyjwbImophUKB4d1jsfHpm/HsiC4I0Kqw/1wxbvvn//Dcvw8gr6RKOvSRSb1E8mEQ4wS/VefD3MiqJCKf4qdRYdrgTvh51iDc0actBAFYtzcLN7/1CwyVZgRqVejBxpZEsnF5EDN//nwoFArMnDlTuk0QBMydOxdxcXHw9/fHoEGDcOTIEYfHGY1GTJ8+HZGRkQgMDMTYsWORlZXl6uk2mSAI2HbSXpJ5UyceNUDki2L1flh0T2989UR/9IzXo8ps7yfTt0M4NMyHIZKNS3/69uzZgw8//BA9e/Z0uH3BggVYuHAhli5dij179iA2NhbDhg1DaWmpNGbmzJlYv3491q5di23btqGsrAypqamwWq2unHKTncovw4USI7RqJa7tECb3dIjIhfq2D8M3U2/Egjt7YkCnSMy4pZPcUyJq1VwWxJSVlWHixIn46KOPEBZW88tdEAQsXrwYL730EsaNG4cePXrgk08+QUVFBT777DMAgMFgwPLly/HOO+9g6NCh6NOnD1avXo1Dhw5h8+bNrppys4hbSdd3CIefRiXzbIjI1ZRKBcZfl4DVf+mHazswH4ZITi4LYqZNm4bRo0dj6NChDrdnZGQgNzcXw4cPl27T6XQYOHAgtm/fDgDYt28fzGazw5i4uDj06NFDGlOX0WhESUmJw5c7iKXVzIchIiJyL7UrnnTt2rXYv38/9uzZU+++3NxcAEBMTIzD7TExMTh79qw0RqvVOqzgiGPEx9c1f/58vPrqq86YfqOZrTapV8RN7A9DRETkVk5ficnMzMRTTz2F1atXw8/P75Lj6na1FQThip1uLzdmzpw5MBgM0ldmZmbTJ99EBzKLUWa0ICxAg6vbsGMnERGROzk9iNm3bx/y8vLQt29fqNVqqNVqbN26Fe+++y7UarW0AlN3RSUvL0+6LzY2FiaTCUVFRZccU5dOp0NISIjDl6uJ+TD9O0VCyRNsiYiI3MrpQcyQIUNw6NAhpKenS1/XXnstJk6ciPT0dFx11VWIjY3Fpk2bpMeYTCZs3boV/fv3BwD07dsXGo3GYUxOTg4OHz4sjfEEYj7MTcyHISIicjun58QEBwejR48eDrcFBgYiIiJCun3mzJmYN28ekpKSkJSUhHnz5iEgIAATJkwAAOj1ekyZMgWzZs1CREQEwsPDMXv2bCQnJ9dLFJZLaZUZv2cWA2BSLxERkRxckth7Jc899xwqKysxdepUFBUVoV+/fti4cSOCg4OlMYsWLYJarcb48eNRWVmJIUOGYOXKlVCpPKOMeefpQlhtAjpEBCAhPEDu6RAREbU6CqHu0aw+oqSkBHq9HgaDwSX5MXM3HMHK7WcwsV87vHFHstOfn4iIqDVqyu9v9stupt/+rD5qgKXVREREsmAQ0ww5hkqcyi+HUgGkXMUghoiISA4MYpphW3VpdXJ8KPQBGplnQ0RE1DoxiGkGsbR6QKcImWdCRETUejGIaSJBELDtZAEAYECnKJlnQ0RE1HoxiGmi4xdKcbHMCH+NCte0D5V7OkRERK0Wg5gmEvNhrk8Mh07tGT1riIiIWiMGMU20TTxqgKXVREREspKlY6+ns1htKDdaUW6yoMJkQZnRigqjBWVGC3adLgTAowaIiIjk5vNBzNf7smDT+NcEIyZ7MFJRHaSUGy2oMFntt1X/12SxXfY5I4O06BobfNkxRERE5Fo+H8S8vOEIlLrmnW2kVSkRoFMhUKtGoE6FQJ0aQTo17ru+HRQKhZNnSkRERE3h80HMzZ0jEarXI0inRoBWjSCdCgE6NQJ1agRqVdX/rQlSArQqaaxWzZQhIiIiT+XzQcx7E/u65ABIIiIikheXGoiIiMgrMYghIiIir8QghoiIiLwSgxgiIiLySgxiiIiIyCsxiCEiIiKvxCCGiIiIvBKDGCIiIvJKDGKIiIjIKzGIISIiIq/EIIaIiIi8EoMYIiIi8koMYoiIiMgrMYghIiIir6SWewKuIggCAKCkpETmmRAREVFjib+3xd/jl+OzQUxBQQEAICEhQeaZEBERUVOVlpZCr9dfdozPBjHh4eEAgHPnzl3xm9BU1113Hfbs2ePxz+mq5/WmubrqeTlX75lrSUkJEhISkJmZiZCQEKc+t7d8D1z1vJyrdz2vt8xVEAT07dsXcXFxVxzrs0GMUmlP99Hr9U6/cKlUKq94Tlc9rzfN1VXPy7l611wBICQkxCvmy/9fnKurnteb5qrVaqXf45fDxN5mmDZtmlc8p6ue15vm6qrn5Vy9a66u4k3fA87Ve+bqquf1xbkqhMZkznihkpIS6PV6GAwGl32yIyLPx2sBke/y2ZUYnU6HV155BTqdTu6pEJGMeC0g8l0+uxJDREREvs1nV2KILkehUOCbb76RexpEJCNeB7wfgxgvtn37dqhUKowcOVLuqcjuwQcfxO233y73NNwuMzMTU6ZMQVxcHLRaLdq3b4+nnnpK6pN0JVu2bIFCoUBxcbFrJ0ouxWuBXWu9DgCt91rAIMaLffzxx5g+fTq2bduGc+fOtei5rFYrbDabk2ZG7nD69Glce+21OHHiBD7//HOcPHkSy5Ytw08//YSUlBQUFhbKPUVyE14LWrfWfC1gEOOlysvLsW7dOjzxxBNITU3FypUrpfvEiPqHH35Ar1694Ofnh379+uHQoUPSmJUrVyI0NBTff/89rr76auh0Opw9e1aGd+J8HTp0wOLFix1u6927N+bOnSvLfFxl2rRp0Gq12LhxIwYOHIh27dph1KhR2Lx5M86fP4+XXnoJAGA0GvHcc88hISEBOp0OSUlJWL58Oc6cOYPBgwcDAMLCwqBQKPDggw/K+I6oOXgtaFhruQ4Arfta4LVBTGteNgSAL774Al26dEGXLl1w//33Y8WKFfXOmXj22Wfx9ttvY8+ePYiOjsbYsWNhNpul+ysqKjB//nz861//wpEjRxAdHe3ut0HNVFhYiB9//BFTp06Fv7+/w32xsbGYOHEivvjiCwiCgAceeABr167Fu+++i2PHjmHZsmUICgpCQkICvvrqKwDA8ePHkZOTg3/84x9yvJ0W4bWA14LWrLVfC3y2Y6+vW758Oe6//34AwMiRI1FWVoaffvoJQ4cOlca88sorGDZsGADgk08+QXx8PNavX4/x48cDAMxmM9577z306tXL/W+AWuTPP/+EIAjo1q1bg/d369YNRUVF2LNnD9atW4dNmzZJ/zauuuoqaZx4PEd0dDRCQ0NdPm9yPl4LWrfWfi3w2pWY2tLS0jBgwACEhoYiIiICqampOHXqlHT/mTNnoFAo8PXXX2Pw4MEICAhAr169sGPHDhln3XzHjx/H7t27ce+99wIA1Go17rnnHnz88ccO41JSUqQ/h4eHo0uXLjh27Jh0m1arRc+ePd0zaXIr8ZN4RkYGVCoVBg4cKPOM3IPXAl4LyJGvXwt8IogpLy/HM888gz179uCnn36CUqnEHXfcUS857aWXXsLs2bORnp6Ozp0747777oPFYpFp1s23fPlyWCwWtG3bFmq1Gmq1Gu+//z6+/vprFBUVXfaxCoVC+rO/v7/D332FUqmst5xee+ncF3Tq1AkKhQJHjx5t8P4//vgDYWFhCAgIcPPM5MVrAa8FotZwHQB4LfCJIObOO+/EuHHjkJSUhN69e2P58uU4dOhQvf+ps2fPxujRo9G5c2e8+uqrOHv2LE6ePCnTrJvHYrHg008/xTvvvIP09HTp68CBA2jfvj3WrFkjjd25c6f056KiIpw4cQJdu3aVY9puFRUVhZycHOnvJSUlyMjIkHFGzhcREYFhw4bhvffeQ2VlpcN9ubm5WLNmDe655x4kJyfDZrNh69atDT6PVqsFYK9I8QW8FvBaIGoN1wGA1wKfCGJOnTqFCRMm4KqrrkJISAgSExMBoF6pYe3l0jZt2gAA8vLy3DdRJ/j+++9RVFSEKVOmoEePHg5fd911F5YvXy6Nfe211/DTTz/h8OHDePDBBxEZGdkqEiBvueUWrFq1Cr/99hsOHz6MyZMnQ6VSyT0tp1u6dCmMRiNGjBiBX3/9FZmZmUhLS8OwYcPQtm1bvPHGG+jQoQMmT56Mhx9+GN988w0yMjKwZcsWrFu3DgDQvn17KBQKfP/998jPz0dZWZnM76pleC3gtUDUWq4DQOu+FvhEEDNmzBgUFBTgo48+wq5du7Br1y4AgMlkchin0WikP4tLp97WD2H58uUYOnQo9Hp9vfvuvPNOpKenY//+/QCAv//973jqqafQt29f5OTkYMOGDVK07WtsNhvUanue+pw5c3DzzTcjNTUVt956K26//XZ07NhR5hk6X1JSEvbu3YuOHTvinnvuQceOHfHoo49i8ODB2LFjh5So9/777+Ouu+7C1KlT0bVrVzzyyCMoLy8HALRt2xavvvoqXnjhBcTExODJJ5+U8y21GK8Fdq31WtAarwNAK78WCF5q8uTJwm233SZcvHhRACD8+uuv0n2//fabAEBYv369IAiCkJGRIQAQfv/9d2lMUVGRAED45Zdf3DtxN/jll18EAEJRUZHcU3GbESNGCNOmTZN7GiQDXgsurbVdC3gdaH28vsQ6LCwMERER+PDDD9GmTRucO3cOL7zwgtzTIjcpKirC9u3bsWXLFjz++ONyT4dkxGtB68XrQOvltUGMuGyoVCqxdu1azJgxAz169ECXLl3w7rvvYtCgQXJPkdzg4Ycfxp49ezBr1izcdtttck+HZMBrAfE60HopBKFODZqXGDlyJDp16oSlS5fKPRUikhGvBUStl9cl9hYVFeGHH37Ali1bHDpSElHrwmsBEXnddhKXDYkI4LWAiLx4O4mIiIhaN6/bTiIiIiICGMQQERGRl/LYIGb+/Pm47rrrEBwcjOjoaNx+++04fvy4wxhBEDB37lzExcXB398fgwYNwpEjR6T7CwsLMX36dHTp0gUBAQFo164dZsyYAYPBII05c+YMpkyZgsTERPj7+6Njx4545ZVX6nX4JCJ5uOtaAABjx45Fu3bt4OfnhzZt2mDSpEnIzs52y/skoqbz2CBm69atmDZtGnbu3IlNmzbBYrFg+PDhUotkAFiwYAEWLlyIpUuXYs+ePYiNjcWwYcNQWloKAMjOzkZ2djbefvttHDp0CCtXrkRaWhqmTJkiPccff/wBm82GDz74AEeOHMGiRYuwbNkyvPjii25/z0RUn7uuBQAwePBgrFu3DsePH8dXX32FU6dO4a677nLr+yWiJpCzXXBT5OXlCQCErVu3CoIgCDabTYiNjRX+/ve/S2OqqqoEvV4vLFu27JLPs27dOkGr1Qpms/mSYxYsWCAkJiY6b/JE5DTuvBZ8++23gkKhEEwmk/PeABE5jceuxNQlLvuKB1llZGQgNzcXw4cPl8bodDoMHDgQ27dvv+zzhISESIeEXWqM+DpE5FncdS0oLCzEmjVr0L9/f4cDI4nIc3hFECMIAp555hkMGDAAPXr0AADk5uYCAGJiYhzGxsTESPfVVVBQgNdffx2PPfbYJV/r1KlTWLJkCc/fIPJA7rgWPP/88wgMDERERATOnTuHb7/91snvgoicxSuCmCeffBIHDx7E559/Xu8+hULh8HdBEOrdBgAlJSUYPXo0rr76arzyyisNvk52djZGjhyJu+++G3/5y1+cM3kichp3XAueffZZ/P7779i4cSNUKhUeeOABCGynReSRPL5j7/Tp07Fhwwb8+uuviI+Pl26PjY0FYP8U1qZNG+n2vLy8ep/ISktLMXLkSAQFBWH9+vUNLg1nZ2dj8ODBSElJwYcffuiid0NEzeWua0FkZCQiIyPRuXNndOvWDQkJCdi5cydSUlJc9M6IqLk8diVGEAQ8+eST+Prrr/Hzzz8jMTHR4f7ExETExsZi06ZN0m0mkwlbt25F//79pdtKSkowfPhwaLVabNiwAX5+fvVe6/z58xg0aBCuueYarFixAkqlx35biFodd14LGnptADAajU56N0TkTB67EjNt2jR89tln+PbbbxEcHCztbev1evj7+0OhUGDmzJmYN28ekpKSkJSUhHnz5iEgIAATJkwAYP/UNXz4cFRUVGD16tUoKSlBSUkJACAqKgoqlQrZ2dkYNGgQ2rVrh7fffhv5+fnSHMRPeEQkH3ddC3bv3o3du3djwIABCAsLw+nTp/Hyyy+jY8eOXIUh8lTyFUZdHoAGv1asWCGNsdlswiuvvCLExsYKOp1OuPnmm4VDhw5J9//yyy+XfJ6MjAxBEARhxYoVlxxDRPJz17Xg4MGDwuDBg4Xw8HBBp9MJHTp0EB5//HEhKyvLze+YiBqLB0ASERGRV2LyBxEREXklBjFERETklRjEEBERkVdiEENEREReiUEMEREReSUGMUREROSVGMQQERGRV2IQQ0RERF6JQQwRyebBBx+EQqGAQqGARqNBTEwMhg0bho8//hg2m63Rz7Ny5UqEhoa6bqJE5JEYxBCRrEaOHImcnBycOXMG//3vfzF48GA89dRTSE1NhcVikXt6ROTBGMQQkax0Oh1iY2PRtm1bXHPNNXjxxRfx7bff4r///S9WrlwJAFi4cCGSk5MRGBiIhIQETJ06FWVlZQCALVu24KGHHoLBYJBWdebOnQvAfpr1c889h7Zt2yIwMBD9+vXDli1b5HmjROR0DGKIyOPccsst6NWrF77++msAgFKpxLvvvovDhw/jk08+wc8//4znnnsOANC/f38sXrwYISEhyMnJQU5ODmbPng0AeOihh/C///0Pa9euxcGDB3H33Xdj5MiR+PPPP2V7b0TkPDwAkohk8+CDD6K4uBjffPNNvfvuvfdeHDx4EEePHq1335dffoknnngCFy9eBGDPiZk5cyaKi4ulMadOnUJSUhKysrIQFxcn3T506FBcf/31mDdvntPfDxG5l1ruCRARNUQQBCgUCgDAL7/8gnnz5uHo0aMoKSmBxWJBVVUVysvLERgY2ODj9+/fD0EQ0LlzZ4fbjUYjIiIiXD5/InI9BjFE5JGOHTuGxMREnD17Frfeeisef/xxvP766wgPD8e2bdswZcoUmM3mSz7eZrNBpVJh3759UKlUDvcFBQW5evpE5AYMYojI4/z88884dOgQnn76aezduxcWiwXvvPMOlEp7Gt+6descxmu1WlitVofb+vTpA6vViry8PNx0001umzsRuQ+DGCKSldFoRG5uLqxWKy5cuIC0tDTMnz8fqampeOCBB3Do0CFYLBYsWbIEY8aMwf/+9z8sW7bM4Tk6dOiAsrIy/PTTT+jVqxcCAgLQuXNnTJw4EQ888ADeeecd9OnTBxcvXsTPP/+M5ORk3HrrrTK9YyJyFlYnEZGs0tLS0KZNG3To0AEjR47EL7/8gnfffRfffvstVCoVevfujYULF+LNN99Ejx49sGbNGsyfP9/hOfr374/HH38c99xzD6KiorBgwQIAwIoVK/DAAw9g1qxZ6NKlC8aOHYtdu3YhISFBjrdKRE7G6iQiIiLySlyJISIiIq/EIIaIiIi8EoMYIiIi8koMYoiIiMgrMYghIiIir8QghoiIiLwSgxgiIiLySgxiiIiIyCsxiCEiIiKvxCCGiIiIvBKDGCIiIvJKDGKIiIjIK/0/d6/RpifuO7YAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Convert the date column to a datetime object\n",
    "df['Date'] = pd.to_datetime(df['Date'])\n",
    "\n",
    "# Aggregate sales data by month\n",
    "df_aggregated = df.groupby(df['Date'].dt.to_period('M')).size()\n",
    "\n",
    "# Set the frequency of the time series to monthly\n",
    "df_aggregated = df_aggregated.asfreq('M')\n",
    "\n",
    "# Visualizing the Sales Frequency\n",
    "df_aggregated.plot(title='Sales Frequency Over Months')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Male dataset shape: (23906, 12)\n"
     ]
    }
   ],
   "source": [
    "#coloration with gender and car purchase\n",
    "#I will train it to use decision trees to predict the gender of customer based on the collumns we are given in the data set\n",
    "\n",
    "\n",
    "#new data set\n",
    "male_df = df\n",
    "\n",
    "print('Male dataset shape:', male_df.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>Annual Income</th>\n",
       "      <th>Dealer_Name</th>\n",
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      ],
      "text/plain": [
       "       Gender  Annual Income  Dealer_Name  Company  Model  Engine  \\\n",
       "0           1              0            0        8     60       0   \n",
       "1           1              1            1        7     52       0   \n",
       "2           1              1            2        4     57       1   \n",
       "3           1              0            4       27     36       1   \n",
       "4           1              1            3        0    141       0   \n",
       "...       ...            ...          ...      ...    ...     ...   \n",
       "23901       1              0            1       21    150       1   \n",
       "23902       0              1           21        5    109       0   \n",
       "23903       1              1            4        2      4       1   \n",
       "23904       1              0            3        5     93       0   \n",
       "23905       1              1           16       14     54       0   \n",
       "\n",
       "       Transmission  Color  Price ($)  Body Style  Dealer_Region  \n",
       "0                 0      0          0           3              4  \n",
       "1                 0      0          0           3              0  \n",
       "2                 1      2          0           2              2  \n",
       "3                 1      1          0           3              5  \n",
       "4                 0      2          0           1              3  \n",
       "...             ...    ...        ...         ...            ...  \n",
       "23901             1      2          0           2              5  \n",
       "23902             0      0          0           0              4  \n",
       "23903             1      2          0           4              6  \n",
       "23904             0      0          0           2              1  \n",
       "23905             0      1          0           0              4  \n",
       "\n",
       "[23906 rows x 11 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#convert price <50k and >50k\n",
    "male_df.drop(['Date'], axis=1, inplace=True)\n",
    "male_df['Price ($)'] = (male_df['Price ($)'] > 50000).astype(int)\n",
    "#convert annual income >100k <100k\n",
    "male_df['Annual Income'] = (male_df['Annual Income'] > 100000).astype(int)\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "label_encoders = {}\n",
    "for column in male_df.columns:\n",
    "    if df[column].dtype == 'object':\n",
    "        label_encoders[column] = LabelEncoder()\n",
    "        df[column] = label_encoders[column].fit_transform(df[column])\n",
    "#drop date and dealer_name\n",
    "#male_df.drop(['Date'], axis=1, inplace=True)\n",
    "male_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.6566290255123379\n"
     ]
    }
   ],
   "source": [
    "#male_df\n",
    "\n",
    "#decision trees\n",
    "from sklearn import tree\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "\n",
    "# Features \n",
    "X = male_df.drop(columns=['Gender']).values\n",
    "\n",
    "# Target variable\n",
    "y = male_df['Gender'].values\n",
    "\n",
    "# Split the dataset into training and testing sets\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
    "\n",
    "# Initialize decision tree classifier\n",
    "clf = tree.DecisionTreeClassifier()\n",
    "\n",
    "# Train the classifier\n",
    "clf.fit(X_train, y_train)\n",
    "\n",
    "# Predictions on the testing set\n",
    "y_pred = clf.predict(X_test)\n",
    "\n",
    "# Calculate accuracy\n",
    "accuracy = accuracy_score(y_test, y_pred)\n",
    "print(\"Accuracy:\", accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#It can predict with an accuracy of 66%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Use association rule learning to find rules to predict what people like based on income\n",
    "ass_df=pd.read_csv('car_data.csv')\n",
    "ass_df.drop('Customer Name', inplace=True, axis=1)\n",
    "ass_df.drop('Gender', inplace=True, axis=1)\n",
    "ass_df.drop('Dealer_Name', inplace=True, axis=1)\n",
    "ass_df.drop('Dealer No', inplace=True, axis=1)\n",
    "ass_df.drop('Car id', inplace=True, axis=1)\n",
    "ass_df.drop('Date', inplace=True, axis=1)\n",
    "ass_df.drop('Phone', inplace=True, axis=1)\n",
    "ass_df.drop('Dealer_Region', inplace=True, axis=1)\n",
    "#change the data to reflect high/low income individuals and high/low priced cars\n",
    "income_bins = [0, 50000, 100000, float('inf')]\n",
    "income_labels = ['Low Income', 'Medium Income', 'High Income']\n",
    "ass_df['Income Category'] = pd.cut(ass_df['Annual Income'], bins=income_bins, labels=income_labels, right=False)\n",
    "#for car price\n",
    "price_bins = [0, 26000, 51000, float('inf')]\n",
    "price_labels = ['Low Priced', 'Medium Priced', 'High Priced']\n",
    "ass_df['Price Category'] = pd.cut(ass_df['Price ($)'], bins=price_bins, labels=price_labels, right=False)\n",
    "\n",
    "\n",
    "#print(\"Unique Price Categories:\", ass_df['Price Category'].unique())\n",
    "#drop income and price\n",
    "ass_df.drop('Annual Income', inplace=True, axis=1)\n",
    "ass_df.drop('Price ($)', inplace=True, axis=1)\n",
    "#ass_df\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                          antecedents  \\\n",
      "9                  (Engine_DoubleÂ Overhead Camshaft)   \n",
      "18                         (Engine_Overhead Camshaft)   \n",
      "28                                (Transmission_Auto)   \n",
      "36                              (Transmission_Manual)   \n",
      "41                                      (Color_Black)   \n",
      "..                                                ...   \n",
      "448  (Price Category_Low Priced, Transmission_Manual)   \n",
      "451                        (Engine_Overhead Camshaft)   \n",
      "452                                (Color_Pale White)   \n",
      "453                             (Transmission_Manual)   \n",
      "454                       (Price Category_Low Priced)   \n",
      "\n",
      "                                           consequents  antecedent support  \\\n",
      "9                        (Income Category_High Income)            0.525851   \n",
      "18                        (Income Category_Low Income)            0.474149   \n",
      "28                       (Income Category_High Income)            0.525851   \n",
      "36                        (Income Category_Low Income)            0.474149   \n",
      "41                       (Income Category_High Income)            0.328662   \n",
      "..                                                 ...                 ...   \n",
      "448  (Color_Pale White, Engine_Overhead Camshaft, I...            0.290178   \n",
      "451  (Price Category_Low Priced, Color_Pale White, ...            0.474149   \n",
      "452  (Price Category_Low Priced, Income Category_Hi...            0.470844   \n",
      "453  (Price Category_Low Priced, Color_Pale White, ...            0.474149   \n",
      "454  (Color_Pale White, Engine_Overhead Camshaft, T...            0.572409   \n",
      "\n",
      "     consequent support   support  confidence      lift  leverage  conviction  \\\n",
      "9              0.779302  0.411989    0.783470  1.005348  0.002192    1.019247   \n",
      "18             0.220656  0.106793    0.225232  1.020737  0.002170    1.005906   \n",
      "28             0.779302  0.411989    0.783470  1.005348  0.002192    1.019247   \n",
      "36             0.220656  0.106793    0.225232  1.020737  0.002170    1.005906   \n",
      "41             0.779302  0.256295    0.779814  1.000657  0.000168    1.002325   \n",
      "..                  ...       ...         ...       ...       ...         ...   \n",
      "448            0.174684  0.120388    0.414877  2.375010  0.069699    1.410499   \n",
      "451            0.120388  0.120388    0.253904  2.109043  0.063306    1.178952   \n",
      "452            0.224923  0.120388    0.255686  1.136773  0.014485    1.041331   \n",
      "453            0.120388  0.120388    0.253904  2.109043  0.063306    1.178952   \n",
      "454            0.174684  0.120388    0.210319  1.203994  0.020397    1.045125   \n",
      "\n",
      "     zhangs_metric  \n",
      "9         0.011219  \n",
      "18        0.038633  \n",
      "28        0.011219  \n",
      "36        0.038633  \n",
      "41        0.000978  \n",
      "..             ...  \n",
      "448       0.815626  \n",
      "451       1.000000  \n",
      "452       0.227375  \n",
      "453       1.000000  \n",
      "454       0.396245  \n",
      "\n",
      "[154 rows x 10 columns]\n"
     ]
    }
   ],
   "source": [
    "from mlxtend.frequent_patterns import apriori, association_rules\n",
    "# Select relevant columns for association rule learning\n",
    "#columns_of_interest = ['Company', 'Model', 'Engine', 'Transmission', 'Color', 'Body Style', 'Income Category', 'Price Category']\n",
    "#df_filtered = df[columns_of_interest]\n",
    "\n",
    "# Convert categorical variables into dummy/indicator variables (one-hot encoding)\n",
    "df_encoded = pd.get_dummies(ass_df)\n",
    "\n",
    "# Apply Association Rule Learning\n",
    "frequent_itemsets = apriori(df_encoded, min_support=0.1, use_colnames=True)\n",
    "rules = association_rules(frequent_itemsets, metric='lift', min_threshold=1)\n",
    "\n",
    "# Filter rules to include only those involving 'Income Category'\n",
    "income_rules = rules[rules['consequents'].apply(lambda x: 'Income Category' in str(x))]\n",
    "\n",
    "# Print the rules\n",
    "print(income_rules)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\pandas\\core\\algorithms.py:1814: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  return lib.map_infer(values, mapper, convert=convert)\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\pandas\\core\\algorithms.py:1814: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  return lib.map_infer(values, mapper, convert=convert)\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:605: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:614: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype) or not is_extension_array_dtype(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:605: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:614: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype) or not is_extension_array_dtype(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       Price ($)  Annual Income  Cluster\n",
      "0          26000          13500        2\n",
      "1          19000        1480000        1\n",
      "2          31500        1035000        0\n",
      "3          14000          13500        2\n",
      "4          24500        1465000        1\n",
      "...          ...            ...      ...\n",
      "23901      12000          13500        2\n",
      "23902      16000         900000        0\n",
      "23903      21000         705000        0\n",
      "23904      31000          13500        2\n",
      "23905      27500        1225000        1\n",
      "\n",
      "[23906 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "#k mean cluster to cluster annual income and car price\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "\n",
    "k_df = pd.read_csv('car_data.csv')\n",
    "\n",
    "# main features for plot\n",
    "features = k_df[['Price ($)', 'Annual Income']]\n",
    "\n",
    "# Perform k-means clustering\n",
    "kmeans = KMeans(n_clusters=4, random_state=42)  \n",
    "kmeans.fit(features)\n",
    "\n",
    "# add cluster label\n",
    "k_df['Cluster'] = kmeans.labels_\n",
    "\n",
    "# Visualize the clusters\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.scatter(k_df['Price ($)'], k_df['Annual Income'], c=k_df['Cluster'], cmap='viridis')\n",
    "plt.xlabel('Price ($)')\n",
    "plt.ylabel('Annual Income')\n",
    "plt.title('K-means Clustering')\n",
    "plt.colorbar(label='Cluster')\n",
    "plt.show()\n",
    "\n",
    "# display the dataFrame with cluster labels\n",
    "print(k_df[['Price ($)', 'Annual Income', 'Cluster']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\pandas\\core\\algorithms.py:1814: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  return lib.map_infer(values, mapper, convert=convert)\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:605: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:614: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype) or not is_extension_array_dtype(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:605: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:614: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype) or not is_extension_array_dtype(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\pandas\\core\\algorithms.py:1814: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  return lib.map_infer(values, mapper, convert=convert)\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:605: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:614: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype) or not is_extension_array_dtype(pd_dtype):\n"
     ]
    },
    {
     "data": {
      "image/png": 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yyCNYuXIl1q5dixdffNH9uG/VqpVH9vz586hRo0aef4+I5MEzZEREAnXr1g2GYSA+Ph7NmzfP8dW0aVMAVw8UsxdtM2bMKLRtGzVqFOrUqYO33noLFy9eRFhYGDp06ICdO3fihhtuyHV7XcVAu3btsHfvXuzfv9/jd2Yfuj0v3bp1w+HDh1GuXLlc/1ZuB5jBwcFo166de0CKnTt35siULl0avXr1wpAhQ3D+/Hmvg2u0bt0aoaGhOYb9P3HiBFavXo0777zT530R5fnnn8c999yT57xUhbHdvp7tulYDBgzAyZMnsXTpUsyZMwf33Xefu6tsdv7+/rjlllvcI3v+9ttvhbJNebn77ruxZs0aj26W2V3L4zerBg0a5No10/AyGEiHDh0AIEcX0YyMDMTFxeXoPkxE8uIZMiLS0urVq3M9cHd11btWbdq0waBBgzBgwABs374dt99+O8LDw3Hq1Cls2LABTZs2xdNPP40GDRqgdu3aeOGFF2AYBsqWLYsff/wRK1euvK6/n5fAwECMHz8eDz74IN577z28/PLLeO+993Dbbbehbdu2ePrpp1GjRg1cvHgRhw4dwo8//uiegDYmJgafffYZ7r77bowbNw4RERGYO3cu/vzzTwCAn1/+n+/FxMRgwYIFuP322/Hcc8/hhhtuQGZmJo4fP44VK1bg+eefxy233IJXX30VJ06cwJ133omqVaviwoULeO+99xAYGIh27doBAO655x40adIEzZs3R4UKFXDs2DFMnToV1atXR926dXP9+6VLl8Yrr7yCF198EY899hgefvhhnDt3DmPHjkVISAhee+21a/q/Dhw4EJ9//jkOHz5coOvIACA6OhrR0dF5Zgpju0uWLInq1atj0aJFuPPOO1G2bFmUL19e2FmX6OhoVK1aFYMHD0ZCQoJHd0UA+Pjjj7F69Wp07doV1apVw5UrV9xnnu666y4h21AQ48aNw7Jly3D77bfjxRdfRNOmTXHhwgUsX74cw4cPR4MGDXx+/HrTvn17fPbZZ/jrr788Rjp9++23cfDgQTzwwAMICgrClStXsGTJErzwwgsoX758jjOnu3fvRkpKirtgIyL5sSAjIi3997//zXW9a2j46zFjxgy0atUKM2bMwPTp05GZmYnKlSujTZs2aNmyJQCzOPrxxx8xbNgwPPnkkwgICMBdd92Fn3/+GdWqVbvubfDmgQcewC233IIpU6Zg6NChaNSoEX777Te8/vrrePnll3HmzBmULl0adevW9ShOK1eujHXr1iEmJgZPPfUUwsLCcN9992HcuHHo16+f17MfWYWHh2P9+vV466238Mknn+DIkSPu+afuuusudzFwyy23YPv27fjvf/+Ls2fPonTp0mjevDlWr16Nxo0bAzDPHixYsAD/+9//kJycjMjISHTs2BGvvPIKAgMDvW7D6NGjUbFiRbz//vv4+uuvERoaivbt22P8+PFeC7n8OJ1OOJ3OfIc9vx6Fsd0zZ87EyJEjce+99yItLQ39+vXzmHvvevj5+eGxxx7D+PHjERUVleMsXrNmzbBixQq89tprSEhIQIkSJdCkSRP88MMP+RaohaFKlSrYunUrXnvtNbz11ls4d+4cKlSogNtuuw1ly5YF4Pvj15vu3bujRIkSWLRoEUaOHOle37lzZxw8eBBDhw5FfHw8UlNTMWDAALRs2RJffvlljq6QCxcuRPny5S35PxFR4bAZhfkOQkREShs0aBDmzZuHc+fOISgoyOrNISrWhg4dilWrVmHfvn25Xt929OhR9O/f3+uIjU6nE3Xq1EGfPn3w5ptvFvLWElFR4RkyIiLyybhx41C5cmXUqlULly5dwuLFi/G///0PL7/8MosxIh+8/PLL+OKLL7BgwQL06tWrwD8/Z84cXLp0yeMMGxHJjwUZERH5JDAwEJMmTcKJEyeQkZGBunXrYsqUKRg2bJjVm0YkhYiICHz11VdITEzM9f7SpUvnmG8uq8zMTHz11Vc+dREmInmwyyIREREREZFFOOw9ERERERGRRViQERERERERWYQFGRERERERkUU4qIdAmZmZOHnyJEqWLJnrcLZERERERKQHwzBw8eJFVK5cGX5+3s+DsSAT6OTJk4iKirJ6M4iIiIiIqJiIi4tD1apVvd7PgkygkiVLAjD/6aVKlbJ4a/TmcDiwYsUKREdHIzAw0OrNoSLG9tcb219vbH+9sf31VtzaPzk5GVFRUe4awRsWZAK5uimWKlWKBZnFHA4HwsLCUKpUqWLxhKSixfbXG9tfb2x/vbH99VZc2z+/S5k4qAcREREREZFFWJARERERERFZhAUZERERERGRRViQERERERERWYQFGRERERERkUVYkBEREREREVmEBRkREREREZFFWJARERERERFZhAUZERERERGRRViQERERERERWYQFGRERERERkUVYkBEREREREVmEBRkREREREZFFWJARERERkfScTmDDBvP7DRvMZSIZsCAj5aSnA9Onm99Pn24uE+nC6QTWrgXmzTNveUBCOuEBub5iY4EaNYCuXc3lrl3N5dhYK7eKipLMz38WZKSUUaOA0FBg9GhzefRoc3nUKGu3i6gouA5IOnQA+vQxb3lAQrrgAbn5AeTUqcDQoeatLh9IxsYCvXoBJ054ro+PN9fr9BjQlezPfxZkpIxRo4BJk4DMTM/1mZnmehZlpLLYWOD++3MekJw4Ya6X5U2J6FrwgNx8jwsLA557Dpg2zbwNC1P/vc/pBIYNAwwj532udTExcp0toYJR4fnPgkxBOn5Clp4OTJ6cd2byZD3+F6mpwDPPAJ06mbepqVZvUdFKSADq1jW/r1vXXFad0wkMGpR3ZtAgPQ5IZO6yIoKOXVZ5QH71A8ns++h0qv+B5Pr1OQ/EszIMIC7OzKnuyBGzV5Cfn3l75IjVW1T48nv+G4Ycz38WZIrR9ROyadNynhnLLjPTzKmsRw+zvT/8EFixwrwNCzPX6yA8HKhUCThzxlw+c8ZcDg+3drsK29q1wLlzeWfOnTNzKpO9y8r10rXLqu4H5OnpwJQpeWemTFH3A8lTp8TmZOXvD9SqBVy5Yj7mr1wxl/39rd6ywpXf8x+Q4/nPgkwhun9CJjInox49gEWLcr9v0SL1i7LwcCAlJff7UlLULsp8LbRULshU6LJyPXTef90PyKdPz//Tf6fz6mBXqqlUSWxORv7+3j+UzsxUuyiLjxebswoLMkXo/gmZry82qr4opaZ6L8ZcFi1St/tiQoL3YswlJUXd7otpaWJzstG9y5ru+1+unNicbLZuFZuTTa1aYnOyOXLEtx5CqnZf3LJFbM4qLMgUofsnZNu2ic3JZuRIsTnZNGsmNiebX38Vm5ON7l3WdN//PXvE5mTz9ddic7LR/fW/USOxOdl88IHYnFVYkCni8GGxOdlcuiQ2J5uDB8XmZHPhgticbJKTxeZko3uXNd33/+hRsTnZ5Hd2pKA52Vy8KDYnG917SKiCBZkiatcWm5NN5cpic7JxjSooKieb0qXF5mRTp47YnGx0v4ZE9/3X/f0vMFBsTjYlS4rNySY4WGyOrMGCTBGDB+d/fZS/v5lT0bp1YnOymTRJbE42u3aJzcnmyy/F5mTTti1QtSpgs+V+v80GREWZORXpvv+6v//t3y82Jxvdu6zq3v7bt4vNWYUFmSKCgoDhw/PODB9u5lRUtiwQEZF3JiLCzKkoNBTo3j3vTPfuZk5FkZHm8P55CQszcyoqUQJo0SLvTIsWZk5F/v7Ae++Z32cvSlzLU6eqO6iP7vuv+/tfnTrei3EXm03dM+RVquTftkFBZk5FNWua847lxc/PzKno5pvF5qzCgkwhEyeagzZkf9P19zfXT5xozXYVlYQE70VZRIS6I+y5LFzovSjr3t28X2WXL3svysLCzPtVtnWr96KsRQt1R1hz6dkT+O67nAddVaua63v2tGa7ioru+6/7+19mZt5nSFW9fswlLc17URYUpP71U06n96LMz0/dEVZdchthtiD3FwcsyBQzcaI5vPe77wLPPGPepqSo/2bkkpBgToDrGk2oUSNzWfVizGXhQrO9hwwBoqPN25QU9Ysxl8uXzYELKlY0lytWNJdVL8Zctm41L1zv0QNo2tS8vXhR/WLMpWdPc+CGJUvM5SVLzKGeVS9GXFz7v2YNMHeueavT/rve/yZMMJcnTNDr/S8z0xy4yXWtWGCguax6MeaSlmaONuq6Vrh0aXNZ9WLMxekE/v4bCAkxi/CQEHNZ9WLMxTBydkvcvl2OYgwAbIYhy6YWf8nJybDb7UhKSkKpUqWs3hytORwOLF26FF26dEGgqlcyk1dsf72x/fXG9tebzu3vdJrTW5w6ZQ7i07atul2Vc+N0Ar/84kBy8lKUKtUFt98eaPn++1ob8AwZKcfpBDZsML/fsEGfT4dcnE5g7Vpg3jzzVsf917n9iXSm+/M/Pd28XnDoUPM2Pd3qLaKiEhsLVK8OdOgA9Olj3lavbq7XQWwsUK0a0LWrudy1q7ksy/6zICOlxMYCNWp4PiFr1JDnCXm9XPuf9QVZx/3Xtf2JdKb783/UKHPgpueeA6ZNM29DQ831utC1II+NBe6/H4iP91wfH2+uV/054Nr/kyc91588Kc/+syAjZcTGAr16mX3Gs4qPN9fL8IS8Htx/vfffRfczpLrTtf11f/6PGmVOa5L9erHMTHO9DkWZrgW50wn065d3pl8/dV8LVNl/FmQKOn/evKC/XDnz9vx5q7eo8DmdwLBhuV+86VoXE1P8n5DXivuv9/67xMaao+plPUNatar6ByRZHTlydbTViAhzWRexseY+Z23/iAj121/35396OjB5ct6ZyZPV7r6oc0G+ahVw6VLemUuXzJyKVNl/FmSKiYw0C7G9e81CbO9ec1nV+Zdc1q/P+UKclWEAcXFmTkXcf733H7jaZSP7iKIJCfJ02bhe/v5ArVrAlSvm8pUr5rLVF3UXBVf7nzvnuf7cOfXbX/fn/wcf5D+SYmammVNRfgW5YahdkH/xhdicbL78UmzOKizIFBIZCZw+nft9p0+rXZSdOiU2Jxvuv9icbJxO81PgvPTqpe4BCWAWXd4OSjMz1S7KnE6z6MrL/fer2/66P/9d10yJyskmv4IcULsgP3pUbE42+Z0dK2jOKizIFHH+vPdizOX0aXW7L5YvLzYnG19H9lV1BGBf59lRdT6eRYt8mxhz0aKi2Z6iduSIb2cIVO2+OH++2JxsgoPF5mTjOiMsKiebw4fF5mQTHi42J5saNcTmrMKCTBHt2onNyWbPHrE52YwcKTYnmwEDxOZk8+STYnOycU0ELyonm4EDxeZk8/zzYnOyWb5cbE42U6eKzclmxQqxOdmo0v4syBSRfajP683JxtdPvlX9hPzsWbE52TgcYnOyUaXLxrVKSxObk42vgzWoOqiD7q9/urtwQWyOyAosyBRRubLYnGxq1xabk02FCmJzstG9y6av14eqeh2p7l3WdO+ypPvrn+6qVxebI7ICCzJFrFsnNiebwYPzv2jf39/MqWjrVrE52ezfLzYnG7a/2Jxs9u0Tm5ON7o//nTvF5mSzZInYnGx0b//t28XmrMKCTBFly16de8ebiAgzp6KgIGD48Lwzw4ebORVVqADY7Xln7HZ1PyGuUwew2fLO2GxmTkW6t3/NmoBfPu9mfn5mTkXVqgEBAXlnAgLMnIp0f/w3ayY2Jxu7Pf/eL7Vr5/8YkZXu7X/zzWJzVmFBppCEBO9FWUREzvmJVDNxojloRfYzZf7+5vqJE63ZrqJy4YL3Nxy7Xf3+85mZ3osym03dERZddG9/p9N7Uebnp+6Q7y4Oh/eiLCBA3esnXXR//PsyyqrKDh3yXpTVrm3erzLd21+F/WdBppiEBHMi0CZNzLNhTZqYy6oXYy4TJwIpKcCECebyhAnmsurFmMuFC8CZM+bwruHh5u2ZM+ofjLhkZgIHD169Viww0FxWvRhz0b39nU7g77+BkBBzOSTEXFa9GHNxOIBjx4ASJcwitEQJc1n1YszF9fh3nQmsVk2vx79h5OyWtnOnHAejIhw6ZLZ1q1bmcqtW5rLqxZiL7u1vGDm7JW7fLs/+W1qQZWRk4OWXX0bNmjURGhqKWrVqYdy4ccjMcvRkGAbGjBmDypUrIzQ0FO3bt8e+bB3h09LSMHToUJQvXx7h4eG49957cSLbLIGJiYno27cv7HY77HY7+vbtiwvZXqWPHz+Oe+65B+Hh4ShfvjyeffZZpEs4LFXZsubw7ufOmbeqdlP0Jijo6rVigwer203RmwoVzNEkL10yb1XtpuNNnTrAP/+Y3//zj7rdFL3Rvf1r1rw6J+Pp0+p2U/SmWjXg4kWzCL14Ud1uit5UqHB1epM9e/R7/DdrZh6Aur5U7abmjd0O/PST+f1PP6nbTdEb3dv/5puBpCTz+6Sk4t9NMStLC7K3334bH3/8MaZNm4Y//vgDEydOxKRJk/DBBx+4MxMnTsSUKVMwbdo0bNu2DZGRkejYsSMuXrzozsTExOD777/H/PnzsWHDBly6dAndunWDM8vHon369MGuXbuwfPlyLF++HLt27ULfvn3d9zudTnTt2hWXL1/Ghg0bMH/+fCxYsADPqzpxCRERERERWS6fy4AL16ZNm9C9e3d07doVAFCjRg3MmzcP2/8952gYBqZOnYqXXnoJPXv2BAB8/vnniIiIwNy5c/Hkk08iKSkJM2fOxJdffom77roLADBnzhxERUXh559/RqdOnfDHH39g+fLl2Lx5M2655RYAwKefforWrVvjwIEDqF+/PlasWIH9+/cjLi4Olf8dG37y5Mno378/3nzzTZQqVaqo/z1ERERERKQ4Swuy2267DR9//DH++usv1KtXD7///js2bNiAqf9Op33kyBEkJCQgOjra/TPBwcFo164dNm7ciCeffBI7duyAw+HwyFSuXBlNmjTBxo0b0alTJ2zatAl2u91djAFAq1atYLfbsXHjRtSvXx+bNm1CkyZN3MUYAHTq1AlpaWnYsWMHOnTokGP709LSkJZlptHk5GQAgMPhgEOXTvvFlOv/z3bQE9tfb2x/vbH99cb211txa39ft8PSguy///0vkpKS0KBBA/j7+8PpdOLNN9/Eww8/DABI+HckiohsQwdGRETg2LFj7kxQUBDKlCmTI+P6+YSEBFSsWDHH369YsaJHJvvfKVOmDIKCgtyZ7CZMmICxY8fmWL9ixQqEhYXlu/9U+FauXGn1JpCF2P56Y/vrje2vN7a/3opL+6ekpPiUs7Qg+/rrrzFnzhzMnTsXjRs3xq5duxATE4PKlSujX79+7pwt21jWhmHkWJdd9kxu+WvJZDV69GgMzzL5VXJyMqKiohAdHc0ujhZzOBxYuXIlOnbsiEDXkHukDba/3tj+emP7643tr7fi1v6u3nP5sbQgGzlyJF544QU89NBDAICmTZvi2LFjmDBhAvr164fIyEgA5tmrSpUquX/uzJkz7rNZkZGRSE9PR2JiosdZsjNnzuDWW291Z067ht3K4uzZsx6/Z8uWLR73JyYmwuFw5Dhz5hIcHIzg4OAc6wMDA4vFg4DYFrpj++uN7a83tr/e2P56Ky7t7+s2WDrKYkpKCvyyzeTp7+/vHva+Zs2aiIyM9DjtmJ6ejnXr1rmLrZtvvhmBgYEemVOnTmHv3r3uTOvWrZGUlIStW7e6M1u2bEFSUpJHZu/evTh16pQ7s2LFCgQHB+NmmcbNJCIiIiIiaVh6huyee+7Bm2++iWrVqqFx48bYuXMnpkyZgscffxyA2YUwJiYG48ePR926dVG3bl2MHz8eYWFh6NOnDwDAbrdj4MCBeP7551GuXDmULVsWI0aMQNOmTd2jLjZs2BCdO3fGE088gRkzZgAABg0ahG7duqF+/foAgOjoaDRq1Ah9+/bFpEmTcP78eYwYMQJPPPEEux8SEREREVGhsLQg++CDD/DKK69g8ODBOHPmDCpXrownn3wSr776qjszatQopKamYvDgwUhMTMQtt9yCFStWoGTJku7Mu+++i4CAADz44INITU3FnXfeidmzZ8Pf39+d+eqrr/Dss8+6R2O89957MW3aNPf9/v7+WLJkCQYPHow2bdogNDQUffr0wTvvvFME/wkiIiIiItKRpQVZyZIlMXXqVPcw97mx2WwYM2YMxowZ4zUTEhKCDz74wGNC6ezKli2LOXPm5Lk91apVw+LFi/PbbCIiIiIiIiEsvYaMiIiIiIhIZyzIiIiIiIiILMKCjIiIiIiIyCIsyIiIiIiIiCzCgoyIiIiIiMgiLMiIiIiIiIgswoKMiIiIiIjIIizIiIiIiIiILMKCjIiIiIiIyCIsyIiIFJKeDkydCgwdat6mp1u9RURFx+kENmwwv9+wwVwmIj3I/PxnQaYgpxNYuxaYN8+8lekBSddP9/aX+QX5eo0aBYSEAM89B0ybZt6GhJjrdaFz+wN6F+SxsUD16kDXruZy167mcmystdtFRSc9HZg+3fx++nS9Hv8AkJQE3HYbUK2aeZuUZPUWFZ3YWHO/sz7/q1WT5/nPgkwxsbFAjRpAhw5Anz7mbY0a8jwg6fro3v6u/c/6gqzL/o8aBUyaBBiG53rDMNfrUJTp3P6A2cahoZ4FeWioPm1///1AfLzn+vh4c70ujwGdjRoFhIUBo0eby6NHm8s6PP4BoE4doHRp4Ndfgbg487Z0aXO96lzP/5MnPdefPCnP858FmUJiY4FevYATJzzXnzhhrpfhASmCrp+Q6d7+Ou9/erpZdOVl0iS1nwuuN+Tc2l+WN+Tr4SrIMzM912dmql+QO53AoEF5ZwYN0uNs6aZNgM129WvTJqu3qGi4Hv/Z29jpVP/xD5hF1+HDud93+LDaRZnTCfTrl3emX7/i//xnQaYIpxMYNiznp+MuhgHExBT/B+T10vUTMt3bX/f9f/ddsTnZ6H5Anp4OTJ6cd2byZHUL8rVrgXPn8s6cO2fmVGazAbfe6rnu1lvN9SpLTwemTMk7M2WKuo//pCTvxZjL4cPqdl9ctQq4dCnvzKVLZq44Y0GmiPXrc34ynF1cnJlTlc6fkOne/rrv/5w5YnOy0f2A/IMPcp4Zyy4z08ypyNd2VbX9gfyLLpWLsunT8/+wxem82nNGNXffLTYnmy+/FJuzCgsyRRw5IjYnG90/IdO9/fP7dLCgOdmkporNyWb+fLE52ehekJw5IzYnG1+7JaraffG338TmZLN/v9icbLJfN3a9OauwIFPEzJlic7LR/RMy3dt/6lSxOdnk112joDnZ/O9/YnOy2bVLbE42urd/9m6K15uTje4fyPjaFVHVLotr1ojNWYUFmSJ0f0LqfoZE9/a/cEFsTjYBAWJzJBfd2z+/7poFzZFcMjLE5kgu3q4dv9acVViQKcLXEXRUHWmndm2xOdno3v7Vq4vNyaZGDbE52fj5+E7ma042N9wgNicbf3+xOZJLeLjYnGwCA8XmZKPK81/Rtyf9qHJR47UaPDj/J5u/v5lTke7tv2SJ2JxsdN//PXvE5mTz1Vdic7LZt09sTjYbN4rNyUb39tf9GjJV2p8FmSJKlABatMg706KFmVNRUBAwfHjemeHDzZyKdG9/uz3/s5+1a5s5Fem+/40aic3JRvfnf/36YnOyad1abE421arl3x03IMDMqahOHd9G2VS1h4wqz38WZArZutX7m3KLFub9Kps4ERg5MueZMn9/c/3EidZsV1HRvf0PHfJelNSubd6vMt33P7/rA4r79QPXS/fnv+7tr/v+Oxzei7KAAPN+lWVmei/KbDb1r59U4fHPgkwxW7cCFy8CPXoATZuatxcvqv9m7DJxIpCSAkyYYC5PmGAuq16Mueje/ocOmQN3tGplLrdqZS6rXoy4uPa/TRsgKsq81Wn/DcPsluK6VszPz1yW4c1YBN2f/4YB/Pnn1Q/l/P3NZV3a3zBydkvcuFGf/Xc4gGPHrp4JLlHCXFa9GHPJzAQOHrx6rVhgoLmsejHmIvvz32YYsmxq8ZecnAy73Y6kpCSUKlXK6s3RmsPhwNKlS9GlSxcEqnolK3nF9tcb219vbH+9sf31Vtza39fagGfIiIiIiIiILMKCjIiIiIiIyCIsyIiIiIiIiCzCgoyIiJThdAIbNpjfb9hgLhMR6cDpBNauBebNM2/5+icPFmRERKSE2FigRg2ga1dzuWtXczk21sqtoqKke0Gemgo88wzQqZN5m5pq9RYVLZ3b3/X616ED0KePecvXP3mwICMiUoiun5DGxgK9egEnTniuj4831/OgRH26F+Q9egBhYcCHHwIrVpi3YWHmeh3ExgLVq3u2f/XqerR/bCxw//05X/9OnDDX6/A/kB0LMgWlpwNTpwJDh5q36elWb1HR0vkTMkDfA3IXndvfdUCS9RNSHQ5InE5g2LDc55txrYuJ0euxoBtvBfmJE3oU5D16AIsW5X7fokXqF2WugiQ+3nN9fLz6BYnTCQwalHdm0CA9Xv9SU4ERI8zvR4yQ6wwxCzLFjBplfiL23HPAtGnmbViYuV4Hun9CqusBuYvO7a/zAcn69TkPxLMyDCAuzsypTscPZPIqyAFzvcoFeWqq92LMZdEiuQ5OC0L3gmTtWuDcubwz586ZOZW5zhB/+qm5/Omncp0hZkGmkFGjgEmTcr7oOJ3metWLMt0/IdX5gBzQu/11PyA5dUpsTlaxsUCFCp4fyFSooPZjH8i/IAfULshHjhSbk43uBYmv+6Xq/gNqnCFmQaaI9HRgypS8M1OmqNt9UfdPSHU/INe9/XU/IKlYUWxORq4PZBITPdcnJqr/gUz2D6GuNyebv/4Sm5ON7gVJZqbYnGxUOUPMgkwR06fnf7DpdJo5Fen+CanuB+Rsf7E5kovTaRZdebn/fnU/kDh7VmxONuHhYnMkl7JlxeZko8oZYhZkitD9E7Jjx8TmZPPjj2Jzstm3T2xONkePis3JRveCdO5csTnZpKWJzcmmbl2xOdnUqyc2J5uEBLE52WzbJjZnFRZkitD9GoqFC8XmZDNrlticbF54QWxONnPmiM3J5o03xOZkM3Cg2JxsRo8Wm5PNpElic7LR/fH/zjtic7LZulVsziosyBQRGSk2J5vLl8XmZOPrtYGqXkN45YrYHJFMHA6xOdl4u3b0WnMkF90f/6QGFmSKqF9fbE42undZ0L0gL1lSbI5IJiEhYnOy8fPxSMbXHMklMFBsjuRis4nNWYUvT4oYPBjw98874+9v5lSke5cNVU7ZX6s9e8TmZLNzp9icbHS/hmz/frE52ej+/F+1SmxONro//pctE5uTze+/i81ZhQWZIoKCgOHD884MH27mVBQaCnTvnneme3czp6IKFQC7Pe+M3W7mVFSlSv6P7aAgM6eiZs3E5mRz221ic7KpWTP/sz9+fmZORY0aic3J5o47xOZkU6dO/mc/bDYzp6LOncXmZNO0qdicVViQKWTiRHNYz+xnyvz9zfUTJ1qzXUVl4UKgRYvc72vRQt0BPVwuXPBelAQFmferLC3N+0Gpn5+6I6wB5nDmVavmnYmKUnfYc1+nM1B12gMA+Pbb67tfdvldH6b69WMLFlzf/bLLb44tVefgAszX9XLl8s6UK6fu67/TCZQokXemZMniv/8syBQzcaI5H1NEBBAcbN6eOKF+MQaYE59u3577fdu3qz0xKgCMGuV90I70dPN+lY0a5f1NNzNT7f3XfR423UeZdTqBBx/MO9O7d/E/ILkeLVte3/0y86X9H3xQ7faPjfV+lsxmU/v9X/d5SFevBi5dyjtz8aKZK85YkCkmMhKoVAk4fdo8I3D6tLms6mAOLk4nMGyY909BDQOIiVH3DSk9HZgyJe/MlCnqjrKo+/7HxYnNyaZ0abE52Sxdmv9rW0aGmVPRpUv5zzG0bVv+B22yWrw4//Z3Os2cinR//1++XGxONjNnis1ZhQWZQiIjzQIsN6dPq12U6X6GYPp0396Qp08vmu0parrv/6ZNYnOy+eEHsTnZjBghNiebhx8Wm5ON7u2v+/u/7hPDr1kjNmcVFmSKOH/eezHmcvq0mVPRgQNic7LR/YD8p5/E5mSj+yiLv/4qNiebv/8Wm5ONr12RinuXpWt16JDYnGxWrhSbk83Jk2Jzssmvu2ZBc1ZhQaaIdu3E5mTz2mtic7L55huxOdno3mVj82axOdnoPux5RobYnGxSUsTmSC7jx4vNkVx87Ypa3LussiBThO6fkPh6bYCq1xAQERERkZxYkCmicmWxOdn4Or+WqvNw5TcHUUFzRERERFQ0eHimiHXrxOZks3Wr2JxsdO+yNX++2Jxsli0Tm5ONr6PHqTrKnK9Deqs69Lfuj/8XXxSbk82qVWJzsnn5ZbE52cyeLTZnFRZkiihb1pxzLC8REWZORRUqAHZ73hm7Xd0zZI0aic3JpndvsTnZdO4sNiebrl3F5mRz331ic7LR/fH/5ptic7K54w6xOdm8/rrYnGz69RObswoLMoUkJHgvyiIizPtVduGC96LMbjfvV5m3OVh8vV923P/ru1923P/ru1923P/ru1923P/ru192Kuw/CzLFJCSYQ3s2aWKeDWvSxFxWvRhzuXABOHMGqFbNXK5WzVxWvRhzMQxg376r14r5+ZnLMrwYiWAYObslzp+v1/5n75a1bJle+5+9W+LixXrtf/ZuibGxeu2/7o//7N0SX3xRr/3P3i1x1Sq99j97t8SXX9Zr/7N3S5w9W579txmGLJta/CUnJ8NutyMpKQmlSpWyenO05nA4sHTpUnTp0gWBgYFWbw4VMba/3tj+emP7643tr7fi1v6+1gY8Q0ZERERERGQRFmREREREREQWYUFGRERERERkERZkREREREREFmFBRkREREREZBEWZERERERERBZhQUZERERERGQRFmREREREREQWYUFGRERERERkERZkREREREREFmFBRkREREREZBEWZERERERERBZhQUZERERERGQRFmREREREREQWYUFGRERERERkERZkREREREREFmFBRkREREREZBEWZERERERERBZhQUZERERERGQRFmRERESkhPR0YPp08/vp081lIqLijgUZkWLS04GpU4GhQ81b3Q5IUlOBESPM70eMMJdJHzwg19eoUUBYGDB6tLk8erS5PGqUtdtVlJxOYO1aYN4889bptHqLipbuz3++/8v7/s+CjEghrgOS554Dpk0zb3U6IOnRw9zfTz81lz/91Fzu0cPKraKiwgNyfY0aBUyalLMAcTrN9To8BmJjgRo1gA4dgD59zNsaNcz1OtD9+c/3f7nf/1mQESlC9wOSHj2ARYtyv2/RInlelOna6P7411l6OjBlSt6ZKVPUPlsQGwv06gWcOOG5/sQJc73qRZnuz3/d91+F938WZAo6fx5o2hQoV868PX/e6i0qWufPA61bm9+3bq3H/ut+QJKa6v3F2GXRIrm6L1yr48eBkiUBf3/z9vhxq7eo8On++M9qxw7AZrv6tWOH1VtU+KZPz79rntN5tSubapxOYNgwwDByv98wgJgYdbsv6v78133/VXn/Z0GmmMhIsxDbu9csRPbuNZcjI63esqLh2v/9+83l/fv12H/dD0hGjhSbk1VgIFC9OnDpEpCZad5Wr26uV5nuj38Xmw1o3txzXfPm5nqVHT4sNieb9etznhnLLi7OzKlI9+e/7vv//PNic1ZhQaaQyEjg9Onc7zt9Wv2iROf9P3hQbE42uu8/YBZdGRm535eRoXZRxvbPv+hSuSirXVtsTjbx8WJzstG9INf99W/bNrE5q7AgU8T5896LEZfTp9Xtvqf7/qelic3JpkwZsTnZHD/uvRhzychQt/ticrLYnGx87ZaoavfFtm3F5mSzaZPYnGz8fDyS9TUnm2PHxOZk42tXRHZZpCLRrp3YnGx03/+dO8XmZOPrBeuqXtjeuLHYnGwWLBCbk032borXm5NNixZic7L58EOxOdm8/77YnGyWLBGbk82+fWJzVmFBpoiTJ8XmZKP7/icmis3JxuEQm5PN5ctic7LR/Qyx7rwNZnGtOSKiosaCTBGVK4vNyaZUKbE52eje/rp3WQkKEpuTTViY2BwREVFRUvTwRD/r1onNyebFF8XmZDNwoNicbAYNEpuTzaxZYnOyeestsTnZvPGG2Jxs7rtPbE42a9eKzclm/HixOdno/oGsKs9/FmSkhIoVxeZko/sZgjNnxOZk06aN2JxsatYUm5NNvXpic7LxdQRRVUca3btXbE42uhckJUqIzckmKUlsziosyBSh+yhTb78tNiebYcPE5mSzfLnYnGyaNRObk83HH4vNyWboULE52Xz/vdicbJ55RmxONrr3EPnrL7E52axeLTZnFRZkijhyRGxONvlNilnQnGwuXBCbk43ug3roPuy77mcIzp0Tm5ON7s9/3eU3KXJBc0RWsLwgi4+Px6OPPopy5cohLCwMzZo1w44sk6UYhoExY8agcuXKCA0NRfv27bEv29iVaWlpGDp0KMqXL4/w8HDce++9OJHtyDsxMRF9+/aF3W6H3W5H3759cSHb0enx48dxzz33IDw8HOXLl8ezzz6L9PT0Qtt3kfz9xeZkU62a2JxsdO+yo3uXDd3bv2xZsTnZ6P76r/vjX3e6D+pEarD04ZmYmIg2bdogMDAQy5Ytw/79+zF58mSULl3anZk4cSKmTJmCadOmYdu2bYiMjETHjh1x8eJFdyYmJgbff/895s+fjw0bNuDSpUvo1q0bnFk+DunTpw927dqF5cuXY/ny5di1axf69u3rvt/pdKJr1664fPkyNmzYgPnz52PBggV4/vnni+R/cb06dxabk43u83D07Ck2J5vXXxebk03v3mJzshk7VmxONu3bi83JZsIEsTnZ6H4N8cSJYnOy6dZNbE424eFic1YJsPKPv/3224iKisKsLEN/1ahRw/29YRiYOnUqXnrpJfT890jy888/R0REBObOnYsnn3wSSUlJmDlzJr788kvcddddAIA5c+YgKioKP//8Mzp16oQ//vgDy5cvx+bNm3HLLbcAAD799FO0bt0aBw4cQP369bFixQrs378fcXFxqPzvlZ+TJ09G//798eabb6JUMR8v/eGHge++8y2nokuXfM/Z7YW7LVaIihKbk40qF/Veq4gIsTnZREaKzcnmP/8BfvrJt5yKtmwRm5NNhQrAsWO+5VRUvrzYnGx0L8grVwYOHvQtV5xZWpD98MMP6NSpEx544AGsW7cOVapUweDBg/HEE08AAI4cOYKEhARER0e7fyY4OBjt2rXDxo0b8eSTT2LHjh1wOBwemcqVK6NJkybYuHEjOnXqhE2bNsFut7uLMQBo1aoV7HY7Nm7ciPr162PTpk1o0qSJuxgDgE6dOiEtLQ07duxAhw4dcmx/Wloa0rLMNJr87wUaDocDjiLurP7VV0BoqG+5e+4p/O0pai1aeO5/aKjD4zZrzpc3LtlMn+5b+0+fDrz2WuFvT1GbN8+39p83Dxg5sii3rGhMm+Zb+0+bpubQ523b+tb+bduqWZR/+qlv7f/pp2qeJVy82Lf2X7xYzevIzpzxrf3PnFFz/5991rf2f/ZZoE+fotyyovHjj761/48/qtn+J0741v4nTliz/77WAzbDsG7u+pCQEADA8OHD8cADD2Dr1q2IiYnBjBkz8Nhjj2Hjxo1o06YN4uPjPQqlQYMG4dixY/jpp58wd+5cDBgwwKMwAoDo6GjUrFkTM2bMwPjx4zF79mz8lW2ImXr16mHAgAEYPXo0Bg0ahKNHj2LFihUemeDgYMyePRsP53JqacyYMRiby7vb3LlzEabqRxFERERERJSvlJQU9OnTB0lJSXn2trP0DFlmZiaaN2+O8f/O1nfTTTdh3759+Oijj/DYY4+5czabzePnDMPIsS677Jnc8teSyWr06NEYPny4ezk5ORlRUVGIjo4u8i6OjzxifvqXn27dzLNkqqle3XMEwdBQBz77bCUef7wjUlOvXsldurSaZ8giIoArV/LPhYQAp08X/vYUtehoz+5I3tr/lluAbJ+5KKFMGSAzM/+cnx+QmFj421PUsndD9tb+gJpnyKpU8a3bdokSQHx84W9PUdO9/QvSDV/F/S9f3vPMh7f2DwwE/vnHgg0sZLq3f3F//if7OLyxpQVZpUqV0KhRI491DRs2xIIFCwAAkf92+E9ISEClSpXcmTNnziDi34shIiMjkZ6ejsTERJQpU8Yjc+utt7ozp3M5Cj179qzH79mSrYN5YmIiHA6HO5NdcHAwgoODc6wPDAxEYBEP5/TZZ0DJkr7lVBxpats2oGrVnOtTUwM9npAHD6q5/zt2ALVq5Z/bt0/N/V+40Cy2s8ve/gsXqrn/W7cCjRvnn1O1/TduBG66Kef67O2/c6ea+799u/mhVH7+/FPN/de9/deuNT9sys+WLWru/44dQN26Oddnb//du9Xc/08/BR59NP/cnDlq7v/8+UD37jnXZ2//RYus2X9f6wFLR1ls06YNDhw44LHur7/+QvV/31lq1qyJyMhIrFy50n1/eno61q1b5y62br75ZgQGBnpkTp06hb1797ozrVu3RlJSErZu3erObNmyBUlJSR6ZvXv34tSpU+7MihUrEBwcjJtvvlnwnosXGpr/Ay0w0Ld+xjKqUgUICso7ExRk5lRUs2b+Q/r6+Zk5FdntQO3aeWdq11ZzQBcAyPa51nXnZKP7xNjVqgEB+Xy8GhCg7rQfurd/y5Zic7KpUwfIp9MUbDYzp6JHHhGbk82994rNWcXSguy5557D5s2bMX78eBw6dAhz587FJ598giFDhgAwuxDGxMRg/Pjx+P7777F37170798fYWFh6PPvlZl2ux0DBw7E888/j1WrVmHnzp149NFH0bRpU/eoiw0bNkTnzp3xxBNPYPPmzdi8eTOeeOIJdOvWDfXr1wdgXnPWqFEj9O3bFzt37sSqVaswYsQIPPHEE8V+hEUAWL8+/4sVHQ4zp6q0NO9FWVCQeb/KnE7vRZmfn/qTYh465L0oq13bvF9l+V0NbN3VwkVD9/13OLwXZQEBal7Mn5Xu7a/7/mdmei/KbDbfunTLTPf2V2H/LS3IWrRoge+//x7z5s1DkyZN8Prrr2Pq1Kl4JEsZP2rUKMTExGDw4MFo3rw54uPjsWLFCpTM0j/v3XffRY8ePfDggw+iTZs2CAsLw48//gj/LLNgfvXVV2jatCmio6MRHR2NG264AV9++aX7fn9/fyxZsgQhISFo06YNHnzwQfTo0QPvvPNO0fwzrlOWE3tCcrJKSzNH0nF1Xytd2lxWvRhzcTqBv/82rxWz2czbv/9WvxhzOXTIvJawVStzuVUrc1n1YszFMMxuia7C3M/PXJbhzUgEwzC7pWW1c6c+++9wmNfIlihhtn2JEuay6sWYi+7tbxg5h/bfskWf/c/M9LwsITDQXFa9GHMxDOCLLzzXffGFPu1vGGa3xKwWLZJn/y0dZVE1ycnJsNvt+Y6kUhjWrgVyGZk/hzVr1J0cNCuHw4GlS5eiS5cuRX49H1mP7a83tr/e2P5607X9Y2OBYcPMD6FdqlYF3nsP+HcqX+U5ncAvvziQnLwUpUp1we23ByLLuRlL+FobWHqGjMRp29Z84uV1yj4qysypzukENmwwv9+wQZ+zQy7p6cDUqcDQoeZterrVW0RUdNLTzfn2APOWj3+96P7673SaH9DOm2fe6rj/OrZ/bCzQq5dnMQaYy716mferLjbWHNyoa1dzuWtXc1mWfWdBpgh/f/NTECBnUeZanjoVln9SUNhkf0Jer1GjgLAw4LnnzEmAn3vOXB41yuotIyp8rsf/6NHm8ujRfPzrJDYWqFHD8/W/Rg19Xv9d+9+hgzkBcocOeu6/bu3vdJpnxrz1dzMMICZG7eI0Nha4//6c03rEx5vrZXgMsCBTSM+ewHff5RxJsGpVc73qp6xVeEJej1GjgEmTcr7oOp3meh6Uksr4+NebtzME8fF6nCHQ/QyJzu2/fn3O/c4uLk7dQd2cTmDQoLwzgwYV/4KUBZlievYEfv8daNIEKFvWvN21S/1iTJUn5LVKTwemTMk7M2WKHt234uOvzslUvbqaE+Hm5fx5oGlToFw58/b8eau3qPDx8X9VQgIQGWkO6BMZaS6rLq8zBK51Kp8h0P0Mie7t7+t7nKrvhWvXAufO5Z05d87MFWcsyBRTp455ILZ3r3kgtnevuazq/Bsuqjwhr9X06fm/2TidV6+tUVVwsHlG+MIFc/nCBXM5l/nblRQZmfvzPzLS6i0rXHz8m8LDgUqVgNOnzZFlT582l8PDrd6ywpXfGQLDUPsMge5nSHRv/9OnxeZk4+txXXE//mNBppA6dYDDh3O/7/BhtYsyVZ6Q18pbu19rTkbBwd7PgKSnq1+URUZ6f8M9fVrtooyPf7PoSknJ/b6UFLWLMt2nfYmLE5uTje7tn9+H0QXNySYjQ2zOKizIFJGUlP/BxuHDZk5Fqjwhr1XVqmJzsomPz787Wnq6ul02zp/P/9PP06fV7b5YoYLYnGwSErwXYy4pKep2X/Tz8UjG15xsFiwQm5NNlmlpheRko3uXRV/nGS3u85Eq+vKkH9eoQqJysnF1UROVk82RI2JzsmnaVGxONu3aic3J5rPPxOZk06yZ2Jxsnn5abE422SfDvd6cbN56S2xONp9/LjYnm+++E5uzCgsyRRw/LjYnG90/IdW9ILt4UWxONidPis3J5p9/xOZko/sHUro//3Wn+/EPqUHRw1P9VKsmNiebunXF5mSj+/7r3mWlcmWxOdno3mWxdGmxOdno/vzXne7HP7rzdX7d4j4PLwsyRSxZIjYnm8GD83+y+fubORVNmiQ2J5s9e8TmZLNundicbLZuFZuTza5dYnOy0f35v3Gj2JxsdD/+2blTbE42+/aJzVmFBZki7Hagdu28M7VrmzkVBQUBw4fnnRk+3MypKDQU6N4970z37mZORVWq5N+2QUE5J01XRdmyQERE3pmICDOnogoV8n9ts9vVPUMWGQmEheWdCQtTd6RN3Z//rVuLzclG9+Mf3a8hrV9fbM4qLMgUcuiQ9xel2rWL/wgz12viRGDkyJxnyvz9zfUTJ1qzXUVl4ULvRVn37ub9KktL835QFhRk3q+yhATvRVlEhLoj7LlcuOD9gMtuV/f6KZfLl70XZWFh5v0q0/35721SaF/vl53uxz+6t78K+8+CTDGHDpkHHm3aAFFR5u2FC+q/GLlMnGgO7zxhgrk8YYK5rHox5rJwobm/Q4YA0dHmbUqK+sWYS1qaOUGo61qZ0qXNZdUPxlwSEsy5Zpo0Mc+GNWliLqtejLlcuACcOXP1WpFq1cxl1Ysxl8uXzbmWIiLMefciIsxl1Ysxl7Q04NgxoEQJc7lECXNZl+e/YeTslrhxoxwHoyK4jn9atTKXW7XS6/jHMHJ2S9y5U5/2Nwzgzz+vfijv728uy7L/AVZvAIlntwMbNli9FdYJCjKvFVu61LwNDLR6i4pWaCgwbZrVW2GdKlXMg7ClS81b3dq/bFl1r5XxRYUK5v4vXWre6tb+kZH6FODZxcYCw4YBly6Zy5cumR9Kvvce0LOntdtWVFq3lucAtDCUKAG88gqQnGzeuopzXTRrpnf7169vzre5dKl5K9PrP8+QKcjpBNauBebNM2+dTqu3qGg5nVcL0g0b9Nt/0pvuz3/SU2ws0KuXeUY8qxMnzPWxsdZsV1FLTQWeeQbo1Mm8TU21eouKTmwsUKPG1flWu3Y1l3Vpe4Cv/zIf/7EgU4zrBalDB6BPH/NWpxckviCTznR//pOeB2ROp3lmzNuZAcMAYmLU/1/06GFeL/jhh8CKFeZtWJi5XnXeCvL4eH0Kct1f/2U//mNBphDdX5B033/SGx//pOsB2fr1OR/32cXFmTlV9egBLFqU+32LFqldlOVVkLvWqV6Q636GWIX3PxZkitD9BUn3/c8qKQm47TZzQIPbbjOXdXLgwNXh3cuWNZdVx8f/VWfPAk2bmt83bWou60DnA7K4OLE52aSmei/GXBYtUrf7Yn4FuWGoXZDrfoZYlfc/FmSK0P0FSff9d6lTxxxZ8Ndfzf399VdzuU4dq7esaNhsQIMGV194nU5z2WazdrsKGx//ptKlgYoVgePHzeXjx81l16ibqtL9gGzLFrE52YwcKTYnm1OnxOZko/sZYlXe/1iQKUL3FyTd9x8wi67Dh3O/7/Bh9Yuy/IoulYsyPv7Nosvb2eCkJLWLMt0PyHwdVU7V0ecOHhSbk02lSmJzsomPF5uTjSrvfyzIFFGmjNicbFxd1ETlZJOU5L0Yczl8WN3ui752S1S1+6LDITYnm7Nn839sJyWp233x99/F5mRTsaLYnGxCQ8XmZNOggdicbHbsEJuTja/zLBb3+RhZkCnihx/E5mSTX//5guZk4xpVSFRONo0bi83J5v/+T2xONi1bis3JRvcua7Nmic3JRvf3v9atxeZk8+67YnOyeeIJsTmrsCBTRH5nRwqak82hQ2Jzsjl2TGxONr5eG6PqNTQ8QyY2Jxu2v9gcyYXtTypgQaaIunXF5mQTHi42Jxtfr49R9ToaX68PU/U6Mt33v0QJsTnZBAaKzcmmZEmxOZJL+fJic0RWYEGmiEmTxOZk4+scK6rOxRITIzYnm169xOZkc8stYnOyee01sTnZvP222JxsevcWm5PNrbeKzclG9+Mf3T+QVmVQFxZkivB1fhFV5yHR/aJu3dWuLTYnm6pVxeZk8/ffYnOyOX9ebE42+Y0wWdCcbHQ/IE9IEJuTje6DuqjSQ4AFmSLatRObk43ug5oMGiQ2J5vJk8XmZPP992JzspkyRWxONrrv/7JlYnOyWblSbE42o0aJzcnmn3/E5mTjmndSVM4qLMgUcfKk2JxsdP+EPDNTbE42ug9qoPugJro//tPSxOZko/vzX3fp6WJzRFZgQaaIypXF5mSj+6Amfj4+k33NyUaVLgvXyt9fbE42uu9/qVJic7IpV05sjuQSFiY2R2QFRQ/P9LNundicbHS/qHfPHrE52ezfLzYnm337xOZko/v+6/7837VLbE42a9eKzclG9+f/+vVic7L54guxOauwIFNE2bJARETemYgIM6ei0FCge/e8M927q3tRa/36YnOyqVMn/yHdbTYzpyLd21/3/a9SBQgKyjsTFGTmVBQZmf/Zj7AwM6ci3a8hr1YNCAjIOxMQYOZUpPvE2H37is1ZhQWZQhISvBdlERHqjjDk8thj13e/zHT/hAwAvvvu+u6X3ciR13e/7Azj+u6X3bx513e/7C5f9l6UhYWZ96usRYvru192zz13fffLbPVqsTkZ+fKBfHHHgkwx3iY+VXVCVBenExg2LO9MTIy6gxrExYnNyUb39k9Pz38EvSlT1L+o3dtZovzOHslO98e/S0pKwdar4tIlYNu2vDPbtpk5Fen++vfpp2JzsklNBRYtyjuzaFHxn/aJBZlC6tQBDh/O/b7Dh9XtrgWYZ37ym2MmLk7dM0QbN4rNyUb39p8+Pf+DbafTzKkqONj7AVd6unm/qnR//AO+dVlWlSpdtq6V7q9/v/wiNiebmBixOauwIFNEUpL3Yszl8GEzpyLdzxDl1/YFzclG90ENtm8Xm5NNfHz+n36np5s5FR04IDYnG933f/dusTnZ6L7/ug/7v3Sp2JxVWJApomtXsTnZbNkiNicb3UfZ0n1i0LlzxeZk07Sp2JxsXntNbE42jRuLzclG93k4v/1WbE42iYlic7LJr3dAQXNWYUGmCFVmKr9Wvl6wr+qF/bpPjKv7J4S6P/4vXhSbk43u+6/7xOi60/31n9TAgkwRvg7nquqwr7pPDK37xLC6Twyq+8TIJUuKzcmmYkWxOdno/vj39fo4Va+jK1NGbI7ICizIFLFkidicbAYPzv/N1t/fzKlI92uodJ8YVPf91/3xv3Wr2JxsdH/8//672JxsdJ8YXPdriFW5hpAFmSLsdqB27bwztWubORUFBQHDh+edGT5c3eGvdZ8YVveJQTkxsm/tr+rjv0KF/F/b7XYzpyLdH/+6X0Op+8TgN98sNicbVR7/LMgUcuiQ96Ksdm3zfpVNnGhOfpv9TJm/v7l+4kRrtquopKVd3/2y+/rr67tfdipMjHmtnM78D7YqVVL7GqILF7wXZXa7eb/KdJ8YXPf9z2/ib5UnBnc6gXLl8s6UK6fu65/TCQQG5p0JCir++8+CTDGHDpmnZV19xW02c1n1YsylVauc14mULGmuV13Lltd3v8zymxjXZlN7YlxVJsa8VpyHy3ThAnDw4NWDk8BAc1n1YgwAYmOv737Z6fz6D+Q/z6rK87CuXQucO5d35tw5dUdZ/uknwOHIO5OebuaKMxZkigkMBG644eqnYYZhLuf36YEKYmOB++/PefBx4YK5XuU35EuXgG3b8s5s22bmVJTfAblhqH1Anl933YLmZHPqlNicrOrUMQcuch2cOBzmssoHo4D5QcugQXlnBg1S9wMZ3V//dZ+HdcUKsTnZvPyy2JxVWJApJDAQyMjI/b6MDLWLMqfTLLrycv/96r4h9+0rNicb3Q/Idb+ou1IlsTkZ1anj/aD08GG1izLdzxDo/vqv+zysP/8sNiebgwfF5qzCgkwRx497L8ZcMjLUnYds/nyxOdns2CE2J5uEBLE52eg+D4/uw97rfoZg4UKxOdnkd3asoDnZ7N8vNicb3eeh9fXMb3E/Q8yCTBGNG4vNyWbgQLE52cTFic3JRvcue6oM+3utmjcXm5ON7mcIPv1UbE428fFic7JJTBSbk80//4jNkTVYkCkiJUVsTja6nyEgIn3p/gl5fr1DCpojIipq+czc4unAgQOYN28e1q9fj6NHjyIlJQUVKlTATTfdhE6dOuH+++9HcHBwYW0r5SEszLfTsfnN1SGr8HDf9j88vPC3hYioKFWr5tvZb1Xn4StVyrezH6VKFf62EBFdC5/OkO3cuRMdO3bEjTfeiF9++QUtWrRATEwMXn/9dTz66KMwDAMvvfQSKleujLfffhtpqk94VAzt2yc2Jxvd99/Xi9VVvah91SqxOdnoPsrWzp1ic7JZskRsTjZ79ojNyWbxYrE52fg6eq6qo+zqfg391Klic1bx6QxZjx49MHLkSHz99dcoW7as19ymTZvw7rvvYvLkyXjxxReFbSTlr1o1ICAg7y4ZAQHqfkKq+/63ayc2J5s77hCbk03HjmJzsmnWTGxONnY7ULt23gN71K7tfeJo2VWpYk78mleX9KAgM6ci3a8hvO02sTnZ9O4NPPSQbzkVDRtmzjPqS64486kgO3jwIIKCgvLNtW7dGq1bt0Y6L9SxhMPhfej7gID8J86Tne77bxhXJwT3dr/KuP/cf533/9Ah70Pf165t3q+ytDQgODj3oiwoyLxfZbo//rn/3H/Z99+nLou+FGPXkydxHA7g2DGgRAnAz8+8PXZM/WLEJev+A/rtv2Hk7Ja4dq0cL0YiGEbObomrVum1/9m7Ja5Yodf+Z++WuHOnPvt/6BBw4QLQpg0QFWXeXrigfjHmkpZmThBfurS5XLq0uax6MeZiGDm7JS5erM/j3zBydktcv16v/c/eLXH+fL32P3u3xKlT5dl/m2Fc36b+/PPPWL9+PZo3b4577rlH1HZJKTk5GXa7HUlJSSjFq4ct5XA4sHTpUnTp0gWBKs+ITTk4ncAvvziQnLwUpUp1we23B8Lf3+qtoqLE57/e2P56Y/vrrbi1v6+1QYGGvR88eDBeeeUV9/KCBQvQuXNnLFmyBL1798aUKVOufYuJBElPB6ZPN7+fPp1D3eskNhaoXv3qtRJdu5rLsbHWbldRcjrNs6Lz5pm3TqfVW0RERYXPf72lp5tnhYYONW91O/6R+fivQAXZmjVrcPvtt7uXp0yZgvHjx2P79u2YM2cOprv+C2Sp1FTgmWeATp3M29RUq7eo6IwaZQ7tP3q0uTx6tLk8apS121WUdH1Bjo0F7r8/5+Sn8fHmeh2KsthYc+CaDh2APn3M22rV9Nh3F6cT2LDB/H7DBv0OSC9dAu67D7jhBvPWl+lAVKJz+8fGApGRns//yEi9nv/nzwOtW5vft25tLuti1CggNBR47jlg2jTzNjRUn+OfUaPM60izHv8FB8uz/z4VZGPHjsXYsWNx/PhxLFq0COPGjcPYsWOxbds2HD16FOPGjcP27dtx/PhxjBs3DuPGjSvs7SYvevQwC5APPzSvHfnwQ3O5Rw+rt6zwjRoFTJqU8w3Y6TTXy/KkvB6ugjTrC7IOBanTCQwalHdm0CC1D85cBenJk57rT57UqyCtUcPzDGmNGnrsOwC0bAmULAksXGgO8b5wobncsqXVW1Y0dG5/1/P/n3881//zjz7P/8hIoFw5YP9+c3n/fnM5MtLa7SoKruOfzEzP9ZmZehz/uPY/N9Lsv+GDo0ePGkePHjUiIyONhQsXGkePHjW+/PJLIyoqyjh27Jhx9OhRY9++fUZ4eLh7WUdJSUkGACMpKcmSv9+9u2GYly/m/tW9uyWbVSTS0gzD3//qvoaGphsLFy40QkPT3ev8/c2cqkaOzLv9R460egsLz88/e+5rbu0PmDkVZWQYRokSebd/iRJmTlULFhiGzZZ7+9ts5v0qa9Ei7/Zv0cLqLSxcOrd/Rkbebe/6Uvn5HxGR9+t/RITVW1h40tKuPva9fdls6h7/pKX59v5v1f77Whv4dIasevXqqF69Olq1aoVJkyZh48aN+OCDD3DfffehWrVqqF69Oi5fvoyaNWu6l6lopaYCixblnVm0SN3ui9On53/2w+m82rdYNenpQH6XcE6Zom73xdWrxeZks2pV/l3TLl1Sd2Jsp9OcY8bbEFWGYc5To+oZ0kuXgG3b8s5s26Zu90Xd2/+bb8TmZHP+PHD6dN6Z06fV7b743nv5jyRoGGZORW+/LTZnlQJdQ/buu+/CZrNh0KBBKFu2LF577TX3fTNmzNB+lEUrjRwpNiebvCZEvZacbHQvSOPixOZk8+WXYnOyWb/eHN48L3FxOYfEVkXfvmJzstG9/f/v/8TmZJNlaAMhOdnk92F8QXOyefddsTmr+DQxtEuNGjWw3ssr2v/+9z8hG0TX5vffxeZkExIiNiebn37yPefLjPay8fPxoyVfc7LR/fm/ZInvufbtC3VTLLF7t9icbNas8T2nYvunpIjNyebgQbE52Rw/LjYnm8REsTmrKHp4op/t28XmZOPrjAuqzsywfLnYnGw+/1xsTjZ79ojNyeadd8TmZPP332JzsvF1HDGON6YmX7viq9plX/ceIqrwqSB76623kOLjRytbtmzBEl8/riRhso+sc7052ei+/0REREQkJ58Ksv3796NatWp4+umnsWzZMpw9e9Z9X0ZGBnbv3o3p06fj1ltvxUMPPZTnTNRUOMqUEZsjIiIiIqLC51NB9sUXX2D16tXIzMzEI488gsjISAQFBaFkyZIIDg7GTTfdhM8++wz9+/fHn3/+ibZt2xb2dlM2H34oNiebu+8Wm5PN/Plic7LxdWBXVQeA9fUzMFU/K6tbV2xONvXqic3JpnZtsTmSi7+/2ByRFXwe1OOGG27AjBkz8PHHH2P37t04evQoUlNTUb58eTRr1gzly5cvzO2kfOh+DYHuFzXHx4vNyebMGbE52fg6nLeqw35nnwz7enOy8XU4b1WH/U5IEJsjuej++kdqKNAoiwBgs9lw44034sYbbyyM7aFr9N//+p5Tcej7devE5mTz/PO+54YPL9xtsYKv8+upOg/f5ctic7LRff//+UdsTja6tz8RyY+jLCoiv0kBC5ojIiIiIqLCx4JMEbrPw2Szic0RERERERUFRQ/P9aP7PES6T4w7darYnGzeeENsTja+dkNVsbsq4Hs3bBW7awPAoEFic7Jp1kxsjuTSv7/YnGwCfLz4yNecbO68U2zOKizIFFGnjticbGrWFJuTTVCQ2JxsKlYUm5NNo0Zic7KpVElsTjZduojNycbXMcVUHXusQgWxOdk0by42Jxvd3/9UGWX3mguyQ4cO4aeffkLqv1fJG7w4yVLTp4vNyeaRR8TmZPPSS2Jzshk/XmxONu++KzYnG93PkL39tticbNasEZuTTZapYYXkZPPCC2JzstF9lNkZM8TmrFLgguzcuXO46667UK9ePXTp0gWnTp0CAPzf//0fnvd1qDcS7vBhsTnZ7N4tNicb3Yf9T0oSm5PN6dNic7LRfdjrEyfE5mSTmSk2R3LRfZRd3akyqF2BC7LnnnsOAQEBOH78OMLCwtzre/fujeXLlwvdOPJdjRpic7LRfWJI3ScGLlFCbE42ure/7oP6VK0qNieb4GCxOZJLSIjYHMlFldf/AhdkK1aswNtvv42q2V7Z69ati2PHjgnbMCqYpk3F5kguuh+Q6V6Qp6eLzcnmoYfE5mTTtavYnGwaNBCbk43u1xBXry42Jxvd3//btRObs0qBC7LLly97nBlz+eeffxDMj58ss2+f2JxsdO+ysH+/2Jxs4uLE5mSje5c13Z//mzaJzcnmzz/F5mSj+wcyvp4LUPWcge6v/7/8IjZnlQIXZLfffju++OIL97LNZkNmZiYmTZqEDh06CN048p3uF7UnJIjNySYtTWxONrpfQ6S7hQvF5mSzZInYnGyuXBGbI7lcviw2R3JR5RrSAs9KMGnSJLRv3x7bt29Heno6Ro0ahX379uH8+fP49ddfC2MbyQe6H5D6+fn2ZFN1YmwiIiIiklOBD08bNWqE3bt3o2XLlujYsSMuX76Mnj17YufOnahdu3ZhbCP5IDBQbE42JUuKzRERERERFYVrOl8QGRmJsWPHYvHixVi6dCneeOMNVFJ1xk1JdO8uNiebDz8Um5ON7hNDRkSIzcmmdGmxOdk89ZTYnGx0nxhX9/0nvfna80fVHkKqjLJa4OaZNWsWvv322xzrv/32W3z++edCNooKTvdBPXS/huzSJbE52Zw/LzYnG93nodN9HsbkZLE52ZQvLzZHctG9IFHlGqprlZEhNmeVAj8833rrLZTP5VWtYsWKGD9+vJCNooL74w+xOdnoPqiJ7gfkDofYnGx0H2Vt5UqxOdn89ZfYnGx8nQKVU6WqSfeCRHeqjKFQ4ILs2LFjqFmzZo711atXx/Hjx4VsFFFBqfKEJCIiIiK9FLggq1ixInbv3p1j/e+//45y5coJ2SgqON0nxtV9UBMiIiIiklOBC7KHHnoIzz77LNasWQOn0wmn04nVq1dj2LBheOihhwpjG8kHul9DpvvEyIMHi83JplUrsTnZREeLzcnm0UfF5mQTFCQ2J5sWLcTmZKP7NXR33ik2R2SFAs9D9sYbb+DYsWO48847ERBg/nhmZiYee+wxXkNmofh433P16xfutlhB9wOSP/8Um5NNXJzYnGx27hSbk43uj3/dryE8ckRsTjb//CM2Jxvdn/+khgIXZEFBQfj666/x+uuv4/fff0doaCiaNm2K6tWrF8b2kY8K8gmRYRTutlihcWPfcxcvFu62WGH1arE52RTkAwkVnT0rNieb7dvF5kguuhckutP99Z/UUOCCzKVevXqoV6+eyG0huma6jzJIRERERHLy6Rqy4cOH4/Lly+7v8/q6VhMmTIDNZkNMTIx7nWEYGDNmDCpXrozQ0FC0b98e+7JdBJWWloahQ4eifPnyCA8Px7333osTJ054ZBITE9G3b1/Y7XbY7Xb07dsXFy5c8MgcP34c99xzD8LDw1G+fHk8++yzSFe1f4eCwsLE5oiIiIiIioJPBdnOnTvh+HcCn99++w07d+7M9WvXrl3XtBHbtm3DJ598ghtuuMFj/cSJEzFlyhRMmzYN27ZtQ2RkJDp27IiLWfqcxcTE4Pvvv8f8+fOxYcMGXLp0Cd26dYMzy/jmffr0wa5du7B8+XIsX74cu3btQt++fd33O51OdO3aFZcvX8aGDRswf/58LFiwAM8///w17Y8VVq0Sm5ON7oOafPaZ2JxsVqwQm5PN//4nNiebb78Vm5PNJ5+Izclm0SKxOdnoPqjT3Llic7KZOFFsTjaPPSY2ZxnDYhcvXjTq1q1rrFy50mjXrp0xbNgwwzAMIzMz04iMjDTeeustd/bKlSuG3W43Pv74Y8MwDOPChQtGYGCgMX/+fHcmPj7e8PPzM5YvX24YhmHs37/fAGBs3rzZndm0aZMBwPjzzz8NwzCMpUuXGn5+fkZ8fLw7M2/ePCM4ONhISkryeV+SkpIMAAX6GZHMq8Py/lJZQMDV/QwNTTcWLlxohIamu9cFBFi9hYVL9/bPup+5tb9O+8/2Z/uz/dn+bH+2v477X9za39faoEDXkGVkZCAkJAS7du1CkyZNhBSEQ4YMQdeuXXHXXXfhjTfecK8/cuQIEhISEJ1lnObg4GC0a9cOGzduxJNPPokdO3bA4XB4ZCpXrowmTZpg48aN6NSpEzZt2gS73Y5bbrnFnWnVqhXsdjs2btyI+vXrY9OmTWjSpAkqV67sznTq1AlpaWnYsWMHOnTokOu2p6WlIS0tzb2cnJwMAHA4HO4zikUpPR2w273fn5QEWLBZRebrr68Oax0a6vC4BYA5c9Tef93bP+v+59b+Ou1/blTe//R0IDwcyMw0l3Nrfz8/4PJldUdaXbAg72H9VX79czqBKlWA8+fN5dzav2xZ4MoVdefifOEF4L33vN8/bJja7V+hAnDpkrmcW/uXKKFu+2d//OdG5ce/0wnUqXN10Jbc2r9qVev239d6wGYYBRtzr3bt2oiNjcWNN954TRuW1fz58/Hmm29i27ZtCAkJQfv27dGsWTNMnToVGzduRJs2bRAfH+9RKA0aNAjHjh3DTz/9hLlz52LAgAEeRREAREdHo2bNmpgxYwbGjx+P2bNn46+//vLI1KtXDwMGDMDo0aMxaNAgHD16FCuy9WcKDg7G7Nmz8fDDD+e6/WPGjMHYsWNzrJ87dy7CeLESEREREZG2UlJS0KdPHyQlJaFUqVJecwUeZfHll1/G6NGjMWfOHJQtW/aaNzAuLg7Dhg3DihUrEBIS4jVns9k8lg3DyLEuu+yZ3PLXkslu9OjRHgOZJCcnIyoqCtHR0Xn+0wvDlStARET+udOngTz+3dJatw64996ry6GhDnz22Uo8/nhHpKYGutf/8APQrp0FG1jI0tOByEjzkyJv/P2BhAQ1zxBcvgxk+dzGa/ufPGmeSVGN7s//hx8Gli69uuyt/bt0AebNs2ADC9mGDUDXrvnnliwBbrut8LenqL36qufZIW/tP2wYMG6cBRtYyCZMAN56K//cCy8Ao0cX/vYUtQEDgNjYq8ve2r9nT2DWLAs2sJCNHOnb9aGDBgGTJhX+9hS1mTOBrGMKemv/KVOAgQOLfvtcvefyU+CC7P3338ehQ4dQuXJlVK9eHeHZjm5+++03n37Pjh07cObMGdx8883udU6nE7/88gumTZuGAwcOAAASEhJQqVIld+bMmTOI+PfIIzIyEunp6UhMTESZMmU8Mrfeeqs7c/r06Rx//+zZsx6/Z8uWLR73JyYmwuFwuDO5CQ4ORnBwcI71gYGBCAwMzOUnCs9zzwGpqfnnRo8Gpk0r/O0pauvW5b7/qamBHk/IdeuAu+4qwg0rIh9+eLW7Rl4+/RTIMpCpMh57zLf2f+wxsyhXzbBhvj3///tfYPr0wt+eonbkiG/tf+QIUMQvzUUiIcG39k9IUHP/Fyzwrf0XLDCLF9W8+aZvk36/+aZZvKrm1199a/9ff1Xz8f/xx0C2jmJec1OnFvrmFLkXX/St/V98EXjqqSLcsH/5Wg8UuCDr3r17vmeofHHnnXdiz549HusGDBiABg0a4L///S9q1aqFyMhIrFy5EjfddBMAID09HevWrcPbb78NALj55psRGBiIlStX4sEHHwQAnDp1Cnv37sXEf4eTad26NZKSkrB161a0bNkSALBlyxYkJSW5i7bWrVvjzTffxKlTp9zF34oVKxAcHOxRMBZn2f6V152TTV59p68lJ5uCjDKoYkG2bp3YnGwWL/Y9p2JBpvvE2IcPi83JJttMN9edk42vM/SoOpNPUpLYnGx8KcYKkpNNYqLYnFUKXJCNGTNGyB8uWbJkjoFBwsPDUa5cOff6mJgYjB8/HnXr1kXdunUxfvx4hIWFoU+fPgAAu92OgQMH4vnnn0e5cuVQtmxZjBgxAk2bNsVd/54GadiwITp37ownnngCM2bMAGBeh9atWzfUr18fgHnNWaNGjdC3b19MmjQJ58+fx4gRI/DEE08UedfDa7V1q9icbAoy7PuHHxbutlhh2TKxOdn42CPA55xs4uLE5mSj+/6/8orvuZdfLtxtsYIvZwcLkiO5qHJATnrzaR4ywLwobciQIahSpQoqVqyIPn364J9//inMbcOoUaMQExODwYMHo3nz5oiPj8eKFStQsmRJd+bdd99Fjx498OCDD6JNmzYICwvDjz/+CP8sQ6l89dVXaNq0KaKjoxEdHY0bbrgBX375pft+f39/LFmyBCEhIWjTpg0efPBB9OjRA++8806h7p9Ivg7NUrAhXOSh+ydERERERCQnn8+Qvfbaa5g9ezYeeeQRhISEYN68eXj66afxrcCZNteuXeuxbLPZMGbMmDzPyoWEhOCDDz7ABx984DVTtmxZzJkzJ8+/Xa1aNSz2td9PMVS6tHnBvi85FYWH+3YNlYoDOhARERGRvHw+QxYbG4uZM2fik08+wfvvv48lS5Zg4cKFcOY1rBsVmV27xOZks2+f2JxsskyzJyQnm759xeZk4+t1YSpePwYAd94pNiebLl3E5mRzxx1ic7KpW1dsTjajRonNyeaxx8TmZOPryNHFfYRpnwuyuLg4tG3b1r3csmVLBAQE4OTJk4WyYVQwJUqIzcnG1xkYrmOmhmLtwgWxOdn4+fhK5mtONh07is3J5tQpsTnZ6H4Npe7P/3PnxOZkU6OG2JxsdD/+ycgQm7OKzy9PTqcTQdnKy4CAAGQU9z3UhO5nCHTf/0OHxOZkM3eu2JxsGjUSm5PNH3+Izclm40axOdnoPsqq7qMMv/SS2JxsfB3KXsUh7wEgM1Nszio+X0NmGAb69+/vMe/WlStX8NRTT3nMRRabdXY+KjK6D3us+/7rTpVPyK6VwyE2JxvdBzVS5YDkWvl65QSvsFBTSorYHJEVfC7I+vXrl2Pdo48+KnRj6NrVru3bHGO1axf+tlhB9/0vVcq3IX0lmcWhwHQf1CUw0LdiS8VJUQEgJAS4csW3nIp033+73bfXP7u98LeFip7ug5qRGnwuyGbNmlWY20HX6csvgSyzAeSZU5Hu+79nD1C1qm85Fe3eDdSq5VtORTNn+nbB9syZhb8tVti/37f237+/8LfFCrrvv+6vfw88APgy4PUDDxT+tlhh1y6gUiXfcirq3h1YtMi3nIqio4EVK3zLFWeKXuKqn/R0sTmSS5Zp94TkZLN3r9icbHTvshMZKTYnG933X/dBrXzt+aBqDwnd6d5l+9gxsTmrsCBTRLt2YnOy0X1Qj2bNxOZkM3y42JxsXntNbE42I0eKzclG9/3v2lVsTja+nvlW9Qy57u9/vk6hK/FUu3k6cEBsziosyBTh6+wDqs5SoPsog7oPe6/749+X6+cKkpONr13xVO2yp/sok0ePis2RXHR//9N9UB9VsCBThO5dFny9WFvVi7p9HaxB1UEddJ+HSPdR5ny9NkTVa0j+/ltsTja6d9nVHQsSUoGihyf6efFFsTnZDBwoNiebNm3E5mTTuLHYnGx8HT1S1VEm09LE5mQTFiY2J5uICLE52YSGis3JRveJoXX/QNbX0bOL+yjbLMgUoftM7b4O56zqsM9nz4rNyUb3iZF9GfK8IDnZpKaKzclG93nobDaxOdnoXpDrTvczhKqcIWdBpoghQ8TmZKP7/v/2m9icbHydlUPV2TsuXxabk43uo4wdPCg2Jxvdr6E7d05sTja6P/5177J+6pTYnFVYkClC94taL14UmyMiIiIiKgosyBTh6wz0qs5U78uk0AXJEREREREVBRZkitB9lLE9e8TmZDNtmticbHSfh2X+fLE52UyZIjYnm9hYsTnZ/Oc/YnOy+eQTsTnZLFokNieb+vXF5mSjyiUrLMgUUaKE2JxsqlQBgoLyzgQFmTkVPfqo2JxsWrcWm5ON7hPDly8vNiebjh3F5mSj+yiLur//794tNicbX49rVD3+adhQbM4qLMgU0bev2JyM0tK8F2VBQeoOeQ0A/fqJzclG94KkWTOxOdls2iQ2JxvdX///+ktsTja6v/5/+KHYnGzWrxebk80LL4jNWYUFmSJ0H2XIJS0N+PNPwN/fXPb3N5dVLsYA4PffxeZkc+KE2JxsEhPF5mQTHy82JxvdX///+UdsTja6T3ugyrDn10r39r90SWzOKizIFKH7PCwuLVsCDRpcHd7V6TSXW7a0drsKm+4TQ2ZkiM3Jxs/HV3Jfc7LRfR4yTnsgNkdy0X0eUt2P/1R5/yvmm0e+uvVWsTkZtWwJbNuW+33btqldlN10k9icbKKixOZk4+tjW9XnQPPmYnOyqV5dbE42NWuKzckmIEBsTjaNGonNyaZSJbE52VSuLDZnFRZkitD9gPTSJe/FmMu2bcX/lPW1Cg0Vm5NNxYpic7IpU0ZsTja6v/752iVb1a7buk/7ovvEwLq//uneQ4ZdFqlYmTdPbE42ul/U/vnnYnOyWbdObE42ug/7PHiw2JxsNm8Wm5PNL7+IzclG9y6b338vNiebY8fE5mRz4YLYnFVYkCkiIUFsTjaHDonNERGRHHQvSIhIfizIFFGqlNicbOx2sTkiIiIioqLAgkwRL74oNiebAQPE5mQTGSk2J5uPPxabk43u11C1aCE2J5sbbxSbk43uE8PrTvdryHQXFiY2ZxUWZIrQ/aLOv/8Wm5NNhQpic7LJzBSbk43uBVnVqmJzstF9UB/dX/90H/Zc9+e/7sqVE5uzCgsyRTz+uNicbN5+W2xONnv2iM3JRvdBHTZuFJuTje4X9es+qMcPP4jNyUb3a+j27RObI7nExYnNWYUFmSJ0f0HWfdhfIiIiHeneQ4LUwIJMEbp3WdC9yyYRERERyYkFmSJ077I3c6bYnGx69xabk81994nNyWb8eLE52bzxhticbFasEJuTTbduYnOyadBAbE42rVqJzclG90FNVHn/Z0GmiMaNxeZkk5EhNicb3du/SROxOdlERIjNyaZhQ7E52ej++vef/4jNyUb3179atcTmZNOsmdicbCpXFpuzCgsyRcyYITYnG93PkM2bJzYnmw8+EJuTzcCBYnOyefppsTnZ6D7tie7TXixYIDYnm0WLxOZks26d2JxsPvxQbM4qLMgUcfCg2JxskpLE5mRz9KjYnGwuXBCbI7mcOSM2JxvdR1n95x+xOdnoPqjX5ctic7LhoCZqYEGmiIQEsTnZ2O1ic7JxOMTmiEgeuo8yywNSvek+qBmpgQWZInR/QdK9y5buF/X6+fhK5mtONrp/IEF68/cXmyO5VKsmNkdkBUUPT/Rz8aLYnGzOnRObk01oqNicbHT/hDwlRWyOSCa6nyHUne5dlkkNLMgUoXuXtZEjxeZkc/y42BzJRffnPxHpKzVVbI7ICizIiIiIiIiILMKCjIiIiIiIyCIsyBSxapXYnGxWrBCbk8348WJzsnnhBbE52bz6qticbHRv/4ceEpuTzahRYnOyqVFDbE42gwaJzcmmXj2xOdnUrSs2ZxWbYag6M0XRS05Oht1uR1JSEkqVKlXkf9+XERRVbW2nEwgIuLocGurAvHlL8fDDXZCaGuhen5Gh7khbOrc/4Ln/3tpfl/33Rpf91639s7/+eaPL659u7Q/w+a9z+/P5X7zb39fagGfIFLJgwfXdL7P168XmZFS79vXdLzOnM/83Gn9/dUdZ4/4DJUrknSlRQt395+uf3u9/6elic7LRfVCPtWvF5mSjyiirLMgU4XQCw4Z5v99mA2Jiiv8D8lrFx4vNySYpCTh8OO/M4cNmTkXLluX/2HY6zZyKFi/2bf8XLy6a7Slqq1YBly7lnbl0Sd0u23FxYnOy0f39b8IEsTnZDBkiNiebJUvE5mTzzTdic1ZhQaaI9euBEye8328Y5puxqp+Qnj0rNiebu+8Wm5PN88+LzclG92kfvvhCbE42GzeKzclG9/e/t94Sm5PN11+Lzcnmf/8Tm5NNv35ic1ZhQaaIU6fE5mRTrpzYnGwOHhSbk01ioticbC5cEJuTzdGjYnOyOXlSbE42ur//paWJzckmI0NsTjb59Q4oaE42qszDyYJMEZmZYnOy2btXbE42uvehDw0Vm5ONn4+v5L7mZJOQIDYnm7/+EpuTzZ9/is3JxtfBClQd1CIkRGxONrq3vyoUfXvWz1NPic3JZvJksTnZXL4sNieb48fF5mRz+rTYnGzyu36yoDnZ6F6QjBsnNkdySU4WmyOyAgsyRaSkiM3JRpVRdoiIiIhILyzIFOHr3BKqzkGh+/4TERERkZx8mEqOZPDgg8BXX/mWU9HbbwMjRviWU1GPHsDChb7lVHTnnb4NaX7nnYW/LVZ47DHfRhB87LHC3xYr1K3r24A1desW/rZYoUMHYM0a33Iq6t4dWLTIt5x+zAuHbDBggwE4cfViIsPw/r2v6673fgE/U9u1b//uZ0imAyXi41Ev809cQeDVfQeAfcV8367hd3bNsu+uW5u3dbFy7Zsv9w/Ptp9BjgzUif0TLTLL4xe0gSxYkCnC10l/VZ0c+OJFsblCUYgvTPe2M7BmYf4vyj3aGMCZ4vVmKuL+qFNAyyz7G+J0oMyff+IWZxmkw9/9P6h90gDWW7edhfU7m/xm4DEf3owbbwfwqVz75svPTLAZOJBlPwMcTjT6/DBed6yHE37u/0M9GMAIufbNl/snHQGOeWn/rN9XOwSgWxFsZxH/v6afNPBmlv21XTFQZcgl7LoSBgM29//AvsYA6hTDdr3O7XDAs639XMVHbhQ86juUfUUagCHArtzCTQp7a4pegaaXvL+wtsI6OYYGyADwBdA2oL5UBZnNMIw8nrlUEMnJybDb7UhKSkKpUqWK9G9HRABnzpjfV8dRfIHHcn1TDgow0KJ58XozFfE7E06b32fdZ7s9HclJgR7r/GCgTBnB2+nLzxAREZE5U7fNdvX73Nbld3+WdckX4SrFAZjfh4c7cOlykMc6AzZUKO/b7yyM7Sysn9m63XPfs+5v9nW33WbxvhXC7/xyjuf++vkbaNcuHjEbnsX36d2RlRWHZL7WBizIBLKyIAsKujrHQkPsx340LtK/T5KS5A0nv/uPHPN8E7LZgIoRKUg4XcKsj7O8IdWvL98bTn4/s/ynnG/A3t6gu99bzPZNwO+c+r7n/gb4Z6JL1yNYvLQ2MjL8PP4fo0bJtW++3P/U4NzbOrfvP5sp17758jMd7vDc96AgJ157bTPGjG2NK+mBHv+bX3+Va998ub9SldzbOrd1585ZsJ1ZbwtB9l8dGurAvHlL8fDDXZCaGuhxn4pHvAX51+qw/8Wt/X2tDRQ8ea2nrPOLnUBV3I/vAOR8UfbzA2Jj5XvDyW9dq9Y2pKRe3c+QYAcmTtqAkSPbIjXt6qdkYWE27PitEN9wLPqdwSG+vRkDgGEU3hujVWplf0EOcWDex15ekBUc+vvugrwhLyq87bDKc+97LocGOVD98aV4cWUXpGZ4tv8oBa8jnTHY9+xnjxfedlhlbbblUH8HzjW+iI3+tyEVnu2PW4tqq4pOgabXK1tYW0FE14MFmSJKlQISE83vL6IUYr10FC5jB9A917uk1rA3MHv21eVQPwcuVjuOP/wae7wh938QQP0i37xClxkAZGTknwtQ9Bl/883Ajh2+5Ug9YWG+TekRFlb420JFz2bz7ZPvQjxJQ0R0XTjsvSJKlhSbk43u+5/1DKmInGyOHhWbI7no/vjXna/dkFTsrkVEamBBpojjx8XmZPPBB2JzstH9gPTcObE5ksuVK2JzRERERYkFGRERERERkUVYkBEREREREVmEBZkibrhBbE42b7whNkdEREREVBRYkClC94ua7XaxOZJLeLjYHBEREVFRYUGmiD17xOZkM3So2BzJ5fJlsTkiIiKiosKCjIiIiIiIyCIsyIiIiIiIiCzCgoyUcNNNYnNEMrHZxOZILn4+vpP7miMioqLFl2dFlCkjNieb8+fF5mQTGCg2R3Lx9xebk01AgNicbMqWFZsjIqKixYJMEYmJYnOyOXZMbE42DofYHMklI0NsTja67/8//4jNERFR0WJBRkREREREZBEWZERERERERBZhQaaINm3E5mTTu7fYnGw4MTLp7D//EZuTDQd1IZ1VqCA2R2QFFmSKCA4Wm5NN//5ic7LJzBSbI5JJxYpic7IpV05sTja6v//prnlzsTkiK7AgU8Tq1WJzsrn7brE52aSmis0RyWT5crE52eg+qEdamtgcyWXZMrE5IiuwICMiIiIiIrIICzIiIiIiIiKLsCBTRKtWYnOyeeYZsTnZVKkiNieb8uXF5mQTFCQ2J5uICLE52eg+MXTbtmJzRERFjQWZIk6dEpuTzTffiM3JJj5ebE42ul9Dk54uNicb3dv//HmxOdmsXy82R0RU1FiQKSIjQ2xONomJYnNEJA+nU2yOiIioKLEgUwTnoSEiIiIikg8LMkUkJ4vNySYkRGyOiIiIiKgosCBThO4F2cWLYnNEREREREWBBRkREREREZFFWJARERERERFZhAUZERERERGRRViQKaJUKbE52XCUSSIiIiKSEQsyRVy+LDYnG8MQmyMiIiIiKgosyBTBiVGJiIiIiOTDgoyIiIiIiMgilhZkEyZMQIsWLVCyZElUrFgRPXr0wIEDBzwyhmFgzJgxqFy5MkJDQ9G+fXvs27fPI5OWloahQ4eifPnyCA8Px7333osTJ054ZBITE9G3b1/Y7XbY7Xb07dsXFy5c8MgcP34c99xzD8LDw1G+fHk8++yzSE9PL5R9JyIiIiIisrQgW7duHYYMGYLNmzdj5cqVyMjIQHR0NC5nudBp4sSJmDJlCqZNm4Zt27YhMjISHTt2xMUsM/zGxMTg+++/x/z587FhwwZcunQJ3bp1gzNL/7w+ffpg165dWL58OZYvX45du3ahb9++7vudTie6du2Ky5cvY8OGDZg/fz4WLFiA559/vmj+GdfpmWfE5mTzzjtic0REsggNFZsjIqKiFWDlH1++fLnH8qxZs1CxYkXs2LEDt99+OwzDwNSpU/HSSy+hZ8+eAIDPP/8cERERmDt3Lp588kkkJSVh5syZ+PLLL3HXXXcBAObMmYOoqCj8/PPP6NSpE/744w8sX74cmzdvxi233AIA+PTTT9G6dWscOHAA9evXx4oVK7B//37ExcWhcuXKAIDJkyejf//+ePPNN1GqmA9PmJgoNicbPx8/WvA1R0RERERUFCwtyLJLSkoCAJQtWxYAcOTIESQkJCA6OtqdCQ4ORrt27bBx40Y8+eST2LFjBxwOh0emcuXKaNKkCTZu3IhOnTph06ZNsNvt7mIMAFq1agW73Y6NGzeifv362LRpE5o0aeIuxgCgU6dOSEtLw44dO9ChQ4cc25uWloa0tDT3cnJyMgDA4XDA4XAI+q/4JjbWt08/Y2OBIt60IvHSS577Hxrq8LjNmlPxLGFBPvlWsf2z77+39gf02P+86LD/urU/4PtjQMX91739+fzPvsz290aH/S9u7e9rPWAzjOIxELhhGOjevTsSExOxfv16AMDGjRvRpk0bxMfHexRKgwYNwrFjx/DTTz9h7ty5GDBggEdhBADR0dGoWbMmZsyYgfHjx2P27Nn466+/PDL16tXDgAEDMHr0aAwaNAhHjx7FihUrPDLBwcGYPXs2Hn744RzbPGbMGIwdOzbH+rlz5yIsLOya/xdERERERCS3lJQU9OnTB0lJSXn2tis2Z8ieeeYZ7N69Gxs2bMhxny3bbL6GYeRYl132TG75a8lkNXr0aAwfPty9nJycjKioKERHRxd5F0e73ffsvycilZJ9/0NDHfjss5V4/PGOSE0N9LhPh/3Piw77z/b3Tof9Z/t7p8P+s/2902H/2f7e6bD/xa39Xb3n8lMsCrKhQ4fihx9+wC+//IKqVau610dGRgIAEhISUKlSJff6M2fOICIiwp1JT09HYmIiypQp45G59dZb3ZnTp0/n+Ltnz571+D1btmzxuD8xMREOh8OdyS44OBjBwcE51gcGBiIwMDCXnyg8bdsC2U7u5So6GijiTSsSN94IbN6cc31qaqDHE7JVKzX3PzXV96xO+5+9/QG99j83Ou0/2z8nnfaf7Z+TTvvP9s9Jp/0vLu3vaz1g6RAHhmHgmWeeQWxsLFavXo2aNWt63F+zZk1ERkZi5cqV7nXp6elYt26du9i6+eabERgY6JE5deoU9u7d6860bt0aSUlJ2Lp1qzuzZcsWJCUleWT27t2LU6dOuTMrVqxAcHAwbr75ZvE7L9ixY2Jzstm5U2yOiIiIiKgoWHqGbMiQIZg7dy4WLVqEkiVLIiEhAQBgt9sRGhoKm82GmJgYjB8/HnXr1kXdunUxfvx4hIWFoU+fPu7swIED8fzzz6NcuXIoW7YsRowYgaZNm7pHXWzYsCE6d+6MJ554AjNmzABgXofWrVs31K9fH4B5zVmjRo3Qt29fTJo0CefPn8eIESPwxBNPFPsRFgEg2/Rt152TTbZLCK87R0RERERUFCwtyD766CMAQPv27T3Wz5o1C/379wcAjBo1CqmpqRg8eDASExNxyy23YMWKFShZsqQ7/+677yIgIAAPPvggUlNTceedd2L27Nnw9/d3Z7766is8++yz7tEY7733XkybNs19v7+/P5YsWYLBgwejTZs2CA0NRZ8+ffAOJ64iIiIiIqJCYmlB5ssAjzabDWPGjMGYMWO8ZkJCQvDBBx/ggw8+8JopW7Ys5syZk+ffqlatGhYvXpzvNhEREREREYnAaXIVUaGC2JxsfL3MT4LLAeka+DoPS0HmayEiIiIqCizIFJGRITYnG6dTbI7k4usoUwUZjYqIiIo/fiBHKmBBpojERLE52ezaJTZHRERExR8/kCMVsCAjIiIiIiKyCAsyIiIiIiIii7AgU8SgQWJzsmnZUmxONn4+PpN9zZFcIiPF5oiIiKjo8PBMEdu3i83J5tQpsTnZZGaKzZFcEhLE5oiIiKjosCBTxG+/ic3JJi5ObI6IiIiIqCiwICMiIiIiIrIICzIiIiIiIiKLsCBTRO3aYnOyqVlTbI7kUrmy2ByRTEqUEJuTTWCg2BwRUVFjQaYI3SdGdDjE5kguYWFic0QyuXRJbE42hiE2R0RU1FiQKeLkSbE52Zw4ITZHcjl0SGyOiOSRkSE2R0RU1FiQERERERERWYQFGRERERERkUVYkCmiXTuxOdnY7WJzstH9onbd9799e7E52TzyiNgcyaV8ebE5kovu7/+kBhZkinA6xeZkk5kpNicbf3+xOdkEB4vNyaZsWbE52bRsKTYnG90f/+npYnMkFxZkpAIWZIrYsEFsTjYpKWJzsrlyRWxONrqPMhcbKzYnm2HDxOZkk5YmNieb5GSxOZLL8eNic0RWYEFGSvDz8ZHsa46IiIiIqCjw8JSUUKaM2BwRERERUVFgQaaId98Vm5PNk0+KzckmNFRsTjY1a4rNkVzCw8XmZBMUJDYnm2rVxOZILuwhQyrgw1MR334rNiebrVvF5mSTmio2J5uEBLE5ksvly2JzstF9UIvTp8XmSC66D+pFamBBpoiNG8XmZPPTT2JzJBfdC1Iinek+qAkRyY8FGRERERERkUVYkBEREREREVmEBZkixo4Vm5NNr15ic7LRfWJo3Qc10F3FimJzsgkLE5uTTenSYnOy0f3176abxOaIrMCCTBGBgWJzsrHZxOZko3tBpvugBrrT/YBU92uoHA6xOdno/vqn+wcypAYWZIp48UWxOdl8953YnGx0f0MmvZ04ITYnG6dTbE42uo+yqTsO6kUqYEFGSjAMsTkiIiIioqLAgoyUwIkhiYiIiEhGPDxVRPnyYnOyaddObE42lSuLzcmmbFmxOdlERIjNyUb3ayh1/0BK9/0nIvnx5UkRKSlic7I5fVpsTjYnT4rNySYxUWxONro//nW/hiozU2xONrrvPxHJjwWZInQvyPbvF5sjufAaQiIiIpIVCzIiIiIiIiKLsCAjIiIiIiKyCAsyRTRuLDYnm9hYsTnZvPGG2Jxsbr1VbE423buLzcmmQgWxOdl07Cg2J5vHHxebk0316mJzsqlXT2yOyAosyBRRo4bYnGxuu01sTjZNmojNyaZaNbE52XTqJDYnmzp1xOZko/soq9HRYnOyGThQbE42rVuLzcmmaVOxOdnUri02ZxUWZIo4f15sTjYtW4rNyeaZZ8TmZPP112JzsnnpJbE52WzeLDYnmx9+EJuTTf/+YnOyefVVsTnZ6P76v2eP2JxsDh8Wm7MKCzJFhIeLzcnm7FmxOdkkJYnNyUb3URYvXhSbk43u7Z+eLjYnm7Q0sTmSi8MhNkdkBRZkiqhbV2xONrpfQxIVJTYnG90nBg4KEpuTTWCg2JxsypcXm5NNcLDYHMmlVCmxOSIrsCBThO4X9W/dKjYnG90H9di3T2xONv/5j9icbHR//Zs6VWxONgMGiM3JZtw4sTnZDB4sNiebnj3F5mTDa8ioWDl5UmxONqGhYnOy0b39dT9DlpwsNicbXkMhNicb3R//ZcqIzclm1y6xOdnYbGJzsrl0SWzOKizIFDFzpticbPr2FZuTzQsviM3JplEjsTnZ7N4tNiebAwfE5mQzapTYnGy++kpsTjZDh4rNyWbLFrE52SxYIDYnm9OnxeaswoJMEboP6qD7J8RXrojNyYYXdZPOMjPF5oiIqGixIFNEzZpic7LRfR62sDCxOdno3mWRiEhXkZFic0RWYEGmiFatxOZk83//JzYnm4gIsTnZ6D4Pne4To+s+MXKtWmJzsrnvPrE52TRsKDYnm5gYsTnZ6D6oU8mSYnNWYUGmiNWrxeZks3Kl2Jxsjh8Xm5PNiRNic7K5cEFsTjaXL4vNyaZpU7E52cTHi83JRvdBnTIyxOZkc+iQ2JxsVJmHkwWZItasEZuTzWefic3JRveJUePixOZk88cfYnOy0f0a2lWrxOZko/u0J7o//p96SmxONrqPMqoKFmSK0P2ibg7qQDozDLE5kovug/oQEcmOBZkiQkLE5mRTtqzYHMlF93lY7HaxOdno/vqnyjUURES6YkGmiP37xeZko/vEkCtWiM3J5vffxeZko/vEyLq//une/jt3is3J5osvxOZko/s8ZFOnis3JZvp0sTmrsCBTRM2agF8+rennp+6w95GR+Q/pHham7rC3HTuKzclG90ENqlQBgoLyzgQFmTkV6f76p3v7N2smNiebvn3F5mSj+yi7w4aJzcnm6afF5qzCgkwhTqf3gxI/P/N+lV2+7L0oCwtTd4Q1l/yuD1L9+iHd9z8tzftBeVCQugO6uOj++qd7++v+/Of+X9/9suP+X9/9xQELMsU4ncDff5vXSths5u3ff6t/MOJy+TJw6hRQsaK5XLGiuax6MeZiGDm7Ja5YIceLkQiGAezeffVaMZvNXNZl/9PSzKH9y5QBAgLM2xMn1D8Yd8n6+gfo9/qne/sbRs5uiTt36vP8N4yc3RK/+EKv/c/eLXHLFr32P3u3xKlT9dr/7N0Sp0+XZ/9thiHLphZ/ycnJsNvtSEpKQqlSpXLNZGZmIj09vYi3TD8OhwO//PILbr/9dgQGBlq9OZYJDAyEv7+/1ZtR5BwOB5YuXYouXbpo3f66Yvvrje2vN7a/3opb+/tSGwBAQBFuk/bS09Nx5MgRZKo69nwxYhgGIiMjERcXB5uqQ+v5qHTp0oiMjNT+/0BERERUHLEgKyKGYeDUqVPw9/dHVFQU/PK7Ap2uS2ZmJi5duoQSJUpo+782DAMpKSk4c+YMAKBSpUoWbxERERERZceCrIhkZGQgJSUFlStXRlh+wwHSdXN1DQ0JCdG2IAOA0NBQAMCZM2dQsWJFLbsvEhERERVn+h6pFjHnv1eVB+U3NjGRYK4PABwOh8VbQkRERETZsSArYryOh4oaH3NERERExRcLMiIiIiIiIouwICOp2Ww2LFy40OrNICIiIiK6JizIyCcbN26Ev78/OnfuXOCfrVGjBqZmn62wiAwYMAA2mw02mw2BgYGIiIhAx44d8dlnnxV4+oHZs2ejdOnShbOhRERERKQlFmSScTqBtWuBefPM23/HCil0n332GYYOHYoNGzbg+PHjRfNHBencuTNOnTqFo0ePYtmyZejQoQOGDRuGbt26ISMjw+rNIyIiIiKNsSCTSGwsUKMG0KED0KePeVujhrm+MF2+fBnffPMNnn76aXTr1g2zZ8/Okfnhhx/QvHlzhISEoHz58ujZsycAoH379jh27Biee+4595kqABgzZgyaNWvm8TumTp2KGjVquJe3bduGjh07onz58rDb7WjXrh1+++23Am9/cHAwIiMjUaVKFfznP//Biy++iEWLFmHZsmUe+zJlyhQ0bdoU4eHhiIqKwuDBg3Hp0iUAwNq1azFgwAAkJSW592PMmDEAgDlz5qB58+YoWbIkIiMj0adPH/fcX0REREREeWFBJonYWKBXL+DECc/18fHm+sIsyr7++mvUr18f9evXx6OPPopZs2bBMAz3/UuWLEHPnj3RtWtX7Ny5E6tWrULz5s3/3e5YVK1aFePGjcOpU6dw6tQpn//uxYsX0a9fP6xfvx6bN29G3bp10aVLF1y8ePG69+mOO+7AjTfeiNgs/zg/Pz+8//772Lt3Lz7//HOsXr0ao0aNAgDceuutmDp1KkqVKuXejxEjRgAA0tPT8frrr+P333/HwoULceTIEfTv3/+6t5GIiIiI1MeJoSXgdALDhgFZaiA3wwBsNiAmBujeHSiMeX9nzpyJRx99FIDZ/e/SpUtYtWoV7rrrLgDAm2++iYceeghjx451/8yNN94IAChbtiz8/f3dZ48K4o477vBYnjFjBsqUKYN169ahW7du17NLAIAGDRpg9+7d7uWYmBj39zVr1sTrr7+Op59+GtOnT0dQUBDsdjtsNluO/Xj88cfd39eqVQvvv/8+WrZsiUuXLqFEiRLXvZ1EBeF0AuvXA6dOAZUqAW3bFs7rAhEREYnBM2QSWL8+55mxrAwDiIszc6IdOHAAW7duxUMPPQQACAgIQO/evfHZZ5+5M7t27cKdd94p/G+fOXMGTz31FOrVqwe73Q673Y5Lly4Ju4bNMAyPObrWrFmDjh07okqVKihZsiQee+wxnDt3DpcvX87z9+zcuRPdu3dH9erVUbJkSbRv3x4ApLvWjuRnVbdmIiIiunY8QyYBX3v5FaA3oM9mzpyJjIwMVKlSxb3OMAwEBgYiMTERZcqUQWhoaIF/r5+fn0e3RwBwOBwey/3798fZs2cxdepUVK9eHcHBwWjdujXS09OvbWey+eOPP1CzZk0AwLFjx9ClSxc89dRTeP3111G2bFls2LABAwcOzLFdWV2+fBnR0dGIjo7GnDlzUKFCBRw/fhydOnUStp1EvoiNBe6/P+f6EyfM9QsWAP9e2klERETFCM+QSaBSJbE5X2VkZOCLL77A5MmTsWvXLvfX77//jurVq+Orr74CANxwww1YtWqV198TFBQEZ7bhICtUqICEhASPomzXrl0emfXr1+PZZ59Fly5d0LhxYwQHB+Off/4Rsm+rV6/Gnj17cP+/R7Dbt29HRkYGJk+ejFatWqFevXo4efJkvvvx559/4p9//sFbb72Ftm3bokGDBhzQg4qc0wkMGpR3ZtCgohuVlYiIiHzHgkwCbdsCVaua14rlxmYDoqLMnEiLFy9GYmIiBg4ciCZNmnh89erVCzNnzgQAvPbaa5g3bx5ee+01/PHHH9izZw8mTpzo/j01atTAL7/8gvj4eHdB1b59e5w9exYTJ07E4cOH8eGHH2LZsmUef79OnTr48ssv8ccff2DLli145JFHrulsXFpaGhISEhAfH4/ffvsN48ePR/fu3dGtWzc89thjAIDatWsjIyMDH3zwAf7++298+eWX+Pjjjz1+T40aNdzXz/3zzz9ISUlBtWrVEBQU5P65H374Aa+//nqBt5HoeqxdC5w7l3fm3DkzR0RERMULCzIJ+PsD771nfp+9KHMtT50q/sL9mTNn4q677oLdbs9x3/33349du3bht99+Q/v27fHtt9/ihx9+QLNmzXDHHXdgy5Yt7uy4ceNw9OhR1K5dGxUqVAAANGzYENOnT8eHH36IG2+8EVu3bnWPWujy2WefITExETfddBP69u2LZ599FhUrVizwfixfvhyVKlVCjRo10LlzZ6xZswbvv/8+Fi1aBP9//2nNmjXDlClT8Pbbb6NJkyb46quvMGHCBI/fc+utt+Kpp55C7969UaFCBUycOBEVKlTA7Nmz8e2336JRo0Z466238M477xR4G4muh6+FFgsyIiKi4sdmZL+Qh65ZcnIy7HY7kpKSUKpUKY/7rly5giNHjqBmzZoICQm5pt8fG2uOtph1gI+oKLMY47UhnjIzM5GcnIxSpUrBz0/vzx1EPPZk43A4sHTpUnTp0gWBgYFWb06he+UV4I038s+9/DKgwwlc3dqfPLH99cb211txa/+8aoOs9D5SlUzPnsDRo8CaNcDcuebtkSMsxoh09+/AnsJyREREVHQ4yqJk/P15UEVEntq3B8qVy/s6snLl+NpBRERUHPEMGRGR5Pz9gU8+yTvzySecIJqIiKg4YkFGRKSAnj3NucayTBkIwByhlXOQERERFV/sskhEpIiePYFu3YDp04HDh4HatYHBg4GgIKu3jIiIiLxhQUZEpIjcRmKdPNmcNoNnyIiIiIondlkkIlJAbCzQq5dnMQYA8fHm+thYa7aLiIiI8saCjIhIck6neWYst1klDcP8iokxc0RERFS8sCAjIpLc+vU5z4xlFxdn5oiIiKh4YUFG2rLZbFi4cKGl29C+fXvExMRYug0kv/h4sTkiIiIqOizIKE/9+/eHzWaDzWZDQEAAqlWrhqeffhqJiYlWb9p1O3XqFO6+++5C/RuzZ89G6dKlvd4fGxuL119/vVC3gdSXkCA2R0REREWHoyxSvjp37oxZs2YhIyMD+/fvx+OPP44LFy5g3rx5hfY3DcOA0+lEQEDhPUQjIyML7Xf7qmzZslZvAing/HmxOSIiIio6PENmFcMALl+25iu3K//zEBwcjMjISFStWhXR0dHo3bs3VqxY4ZGZNWsWGjZsiJCQEDRo0ADTp0/3uH/jxo1o1qwZQkJC0Lx5cyxcuBA2mw27du0CAKxduxY2mw0//fQTmjdvjuDgYKxfvx6GYWDixImoVasWQkNDceONN+K7775z/97ExEQ88sgjqFChAkJDQ1G3bl3MmjULAJCeno6hQ4eiUqVKCAkJQY0aNTBhwgT3z2bvsrhnzx7ccccdCA0NRbly5TBo0CBcunTJfX///v3Ro0cPvPPOO6hUqRLKlSuHIUOGwOFwFOj/mVX2Los1atTA+PHj8fjjj6NkyZKoVq0aPvnkE4+fiY+PR+/evVGmTBmUK1cO3bt3x9GjR695G4iIiIjIOjxDZpWUFKBECWv+9qVLQHj4Nf3o33//jeXLlyMwMNC97tNPP8Vrr72GadOm4aabbsLOnTvxxBNPIDw8HP369cPFixdxzz33oEuXLpg7dy6OHTvm9bqpUaNG4Z133kGtWrVQunRpvPzyy4iNjcVHH32EunXr4pdffsGjjz6KChUqoF27dnjllVewf/9+LFu2DOXLl8ehQ4eQmpoKAJgxYwZ+/PFHfPPNN6hWrRri4uIQFxeX699NSUlB586d0apVK2zbtg1nzpzB//3f/+GZZ57B7Nmz3bk1a9agUqVKWLNmDQ4dOoTevXujWbNmeOKJJ67p/5mbyZMn4/XXX8eLL76I7777Dk8//TRuv/12NGjQACkpKejQoQPatm2LX375BQEBAXjjjTfQuXNn7N69G0GcAVhL5cqJzREREVHRYUFG+Vq8eDFKlCgBp9OJK1euAACmTJnivv/111/H5MmT0fPfmWdr1qyJ/fv3Y8aMGejXrx+++uor2Gw2fPrppwgJCUGjRo0QHx+faxEzbtw4dOzYEQBw+fJlTJkyBatXr0br1q0BALVq1cKGDRswY8YMtGvXDsePH8dNN92E5s2bAzDPMAFAZmYmTpw4gbp16+K2226DzWZD9erVve7jV199hdTUVHzxxRcI/7dYnTZtGu655x68/fbbiIiIAACUKVMG06ZNg7+/Pxo0aICuXbti1apVQguyLl26YPDgwQCA//73v3j33Xexdu1aNGjQAPPnz4efnx/+97//wWazATDPTpYuXRpr165FdHS0sO0gefz78BSWIyIioqLDgswqYWHmmSqr/nYBdOjQAR999BFSUlLwv//9D3/99ReGDh0KADh79izi4uIwcOBAj6IkIyMDdrsdAHDgwAHccMMNCAkJcd/fsmXLXP+Wq7ACgP379+PKlSvuAs0lPT0dN910EwDg6aefxv3334/ffvsN0dHR6NGjB2699VYAQJ8+fdCzZ0/Ur18fnTt3Rrdu3bwWLH/88QduvPFGdzEGAG3atEFmZiYOHDjgLsgaN24Mf39/d6ZSpUrYs2dPPv/Bgrnhhhvc39tsNkRGRuLMmTMAgB07duDQoUMoWbKkx89cuXIFhw8fFrodJI8qVcTmiIiIqOiwIMtm+vTpmDRpEk6dOoXGjRtj6tSpaNu2rfg/ZLNdc7fBohYeHo46deoAAN5//3106NABY8eOxeuvv47MzEwAZrfFW265xePnXIWLYRjuszkuhpfr2LIWRK7fvWTJElTJdiQZHBwMALj77rtx7NgxLFmyBD///DPuvPNODBkyBBMnTsSNN96Iw4cP46effsLPP/+MBx98EHfddZfHNWhZtyf7NrpkXZ+1q6brPtd2ipLX38jMzMTNN9+Mr776KsfPVahQQeh2kDzatgWqVs17LrKoKDNHRERExQsH9cji66+/RkxMDF566SXs3LkTbdu2xd13343jx49bvWnFymuvvYZ33nkHJ0+eREREBKpUqYK///4bderU8fiqWbMmAKBBgwbYvXs30tLS3L9j+/bt+f6dRo0aITg4GMePH8/xu6Oioty5ChUqoH///pgzZw6mTp3qMQhGqVKl0Lt3b3z66af4+uuvsWDBApzPZai5Ro0aYdeuXbh8+bJ73a+//go/Pz/Uq1fvmv5PheE///kPDh48iIoVK+b4n7jOSJJ+/P2B994zP+fJjc0GTJ1q5oiIiKh4YUGWxZQpUzBw4ED83//9Hxo2bIipU6ciKioKH330kdWbVqy0b98ejRs3xvjx4wEAY8aMwYQJE/Dee+/hr7/+wp49ezBr1iz3dWZ9+vRBZmYmBg0ahD/++AM//fQT3nnnHQDwelYKAEqWLIkRI0bgueeew+eff47Dhw9j586d+PDDD/H5558DAF599VUsWrQIhw4dwr59+7B48WI0bNgQgHm2c/78+fjzzz/x119/4dtvv0VkZGSu84I98sgjCAkJQb9+/bB3716sWbMGQ4cORd++fd3dFa+V0+nErl27PL72799/Tb/rkUceQfny5dG9e3esX78eR44cwbp16zBs2DCcyOv0CCmvZ0/gu+/MM2VZRUWZ6/+9xJOIiIiKGXZZ/Fd6ejp27NiBF154wWN9dHQ0Nm7cmOvPpKWleZz1SU5OBgA4HI4cQ6E7HA4YhoHMzEzhXdwKk2EY7u3OKiYmBgMHDsTIkSPx+OOPIyQkBJMnT8aoUaMQHh6Opk2b4tlnn0VmZiZKlCiBRYsWYciQIWjWrBmaNm2Kl19+GY8++iiCgoI8/ifZ/z9jx45FhQoVMGHCBPz9998oXbo0brrpJowePRqZmZkIDAzE6NGjcfToUYSGhuK2227D3LlzYRgGwsPDMWnSJBw8eBD+/v5o0aIFFi9e7P47Wf9eSEgIli1bhueeew4tWrRAWFgYevbsicmTJ7uzuf0vXF0vvbVpZmYmLl265L7mzaV69er4+++/3b8j++/M/vtc60JCQrB27Vq88MIL6NmzJy5evIgqVargjjvuQIkSJXLdjszMTBiGAYfD4XH9m8pcz7/rmZJARvfcA3TpAmzaZE4CHRkJtG5tnhnT6V+ha/uTie2vN7a/3opb+/u6HTbD28U8mjl58iSqVKmCX3/91T0oBACMHz8en3/+OQ4cOJDjZ8aMGYOxY8fmWD937lyEZRs4IyAgAJGRkYiKiuLQ5AC++eYbPPPMMzh27BhCQ0Ot3hylpaenIy4uDgkJCcjIyLB6c4iIiIi0kJKSgj59+iApKQmlSpXymuMZsmxyG3zCW7e60aNHY/jw4e7l5ORkREVFITo6Osc//cqVK4iLi0OJEiU8RhvUxRdffIFatWqhSpUq+P333zFu3Dg88MAD190d0BvDMHDx4kWULFkyz26ROrhy5QpCQ0Nx++23a/PYczgcWLlyJTp27JhjkBRSH9tfb2x/vbH99Vbc2t/Vey4/LMj+Vb58efj7+yMhIcFj/ZkzZ7wWDcHBwe7R/rIKDAzM8SBwOp2w2Wzw8/ODn59+l+6dOXMGY8aMQUJCAipVqoQHHngAb775ZqH9L1xd91z/c535+fnBZrPl+rhUnY77TFex/fXG9tcb219vxaX9fd0GvY9UswgKCsLNN9+MlStXeqxfuXKlRxdGujajRo3C0aNHceXKFRw5cgTvvvtujm6dRERERES64RmyLIYPH46+ffuiefPmaN26NT755BMcP34cTz31lNWbRkRERERECmJBlkXv3r1x7tw5jBs3DqdOnUKTJk2wdOlSVK9eXdjf4BgqVNT4mCMiIiIqvliQZTN48GAMHjxY+O91DTeenp7OUQWpSKWkpADwvR8zERERERUdFmRFJCAgAGFhYTh79iwCAwO1H2iisGVmZiI9PR1XrlzR9n9tGAZSUlJw5swZlC5dWps5yIiIiIhkwoKsiNhsNlSqVAlHjhzBsWPHrN4c5RmGgdTUVISGhmo/7H3p0qURGRlp9WYQERERUS5YkBWhoKAg1K1bF+np6VZvivIcDgd++eUX3H777Vp31QsMDOSZMSIiIqJijAVZEfPz89Nmcl4r+fv7IyMjAyEhIVoXZERERERUvOl5cQ0REREREVExwIKMiIiIiIjIIizIiIiIiIiILMJryARyTcCbnJxs8ZaQw+FASkoKkpOTeQ2Zhtj+emP7643trze2v96KW/u7agJXjeANCzKBLl68CACIioqyeEuIiIiIiKg4uHjxIux2u9f7bUZ+JRv5LDMzEydPnkTJkiW1n/vKasnJyYiKikJcXBxKlSpl9eZQEWP7643trze2v97Y/norbu1vGAYuXryIypUrw8/P+5ViPEMmkJ+fH6pWrWr1ZlAWpUqVKhZPSLIG219vbH+9sf31xvbXW3Fq/7zOjLlwUA8iIqL/b+/+Y6KuHziOvz7x4zgIK3Bw3PQKB5uCGhj5BzCpVVqSzWbhbyX6ox+QkM1gWVNbQOJ0bZE0nKGrmf0hGbW1MjUIXeOUUGdO+kGslY5aRQrxQ+7z/aO8iZq5feHeCs/Hdtvd+32fz72O9x/ca5/P5w4AAEMoZAAAAABgCIUMI5LD4dCaNWvkcDhMR4EBrP/oxvqPbqz/6Mb6j27X6/rzpR4AAAAAYAhHyAAAAADAEAoZAAAAABhCIQMAAAAAQyhkAAAAAGAIhQwjRnl5ue68805FRkYqJiZGc+fO1cmTJ03HgiHl5eWyLEtFRUWmoyCAfvrpJy1ZskTR0dEKDw9XSkqKDh8+bDoWAuDcuXN68cUXFR8fL6fTqQkTJujll1+Wz+czHQ3DoKGhQXPmzJHb7ZZlWdq9e/egedu2tXbtWrndbjmdTt111106fvy4mbAYclda//7+fhUXF2vKlCmKiIiQ2+3WsmXL9PPPP5sL/B8oZBgx6uvrlZ+fry+//FJ79uzRuXPnNHPmTHV1dZmOhgDzer2qrq7W1KlTTUdBAP3+++/KyMhQSEiIPv74Y3399dfauHGjbr75ZtPREADr16/Xm2++qcrKSp04cUIVFRXasGGDXn/9ddPRMAy6urp0++23q7Ky8rLzFRUV2rRpkyorK+X1euVyuXTffffpzJkzAU6K4XCl9e/u7lZzc7NeeuklNTc3q7a2Vq2trXrooYcMJL06fO09RqxffvlFMTExqq+v14wZM0zHQYCcPXtW06ZN0+bNm/XKK68oJSVFr732mulYCICSkhIdOHBAX3zxhekoMODBBx9UbGystm7d6h+bN2+ewsPD9fbbbxtMhuFmWZbef/99zZ07V9LfR8fcbreKiopUXFwsSert7VVsbKzWr1+vJ554wmBaDLWL1/9yvF6vpk+frvb2dnk8nsCFu0ocIcOI1dnZKUmKiooynASBlJ+fr+zsbN17772moyDA6urqlJaWpkcffVQxMTFKTU3Vli1bTMdCgGRmZmrv3r1qbW2VJB05ckSNjY2aPXu24WQItLa2Np0+fVozZ870jzkcDmVlZengwYMGk8GUzs5OWZZ1zZ4xEWw6ADAcbNvWypUrlZmZqcmTJ5uOgwDZuXOnmpub5fV6TUeBAd9//72qqqq0cuVKvfDCC2pqatKKFSvkcDi0bNky0/EwzIqLi9XZ2amJEycqKChIAwMDKi0t1cKFC01HQ4CdPn1akhQbGztoPDY2Vu3t7SYiwaCenh6VlJRo0aJFGjNmjOk4l0Uhw4hUUFCgo0ePqrGx0XQUBMiPP/6owsJCffrppwoLCzMdBwb4fD6lpaWprKxMkpSamqrjx4+rqqqKQjYKvPfee3rnnXe0Y8cOJScnq6WlRUVFRXK73Vq+fLnpeDDAsqxBj23bvmQMI1t/f78WLFggn8+nzZs3m47zryhkGHGeeeYZ1dXVqaGhQePGjTMdBwFy+PBhdXR06I477vCPDQwMqKGhQZWVlert7VVQUJDBhBhucXFxSkpKGjQ2adIk7dq1y1AiBNKqVatUUlKiBQsWSJKmTJmi9vZ2lZeXU8hGGZfLJenvI2VxcXH+8Y6OjkuOmmHk6u/vV05Ojtra2rRv375r9uiYxDVkGEFs21ZBQYFqa2u1b98+xcfHm46EALrnnnt07NgxtbS0+G9paWlavHixWlpaKGOjQEZGxiU/ddHa2qpbb73VUCIEUnd3t264YfDHmqCgIL72fhSKj4+Xy+XSnj17/GN9fX2qr69Xenq6wWQIlPNl7JtvvtFnn32m6Oho05GuiCNkGDHy8/O1Y8cOffDBB4qMjPSfQ37TTTfJ6XQaTofhFhkZecn1ghEREYqOjuY6wlHi2WefVXp6usrKypSTk6OmpiZVV1erurradDQEwJw5c1RaWiqPx6Pk5GR99dVX2rRpk/Ly8kxHwzA4e/asvv32W//jtrY2tbS0KCoqSh6PR0VFRSorK1NiYqISExNVVlam8PBwLVq0yGBqDJUrrb/b7dYjjzyi5uZmffTRRxoYGPB/JoyKilJoaKip2P/OBkYISZe91dTUmI4GQ7KysuzCwkLTMRBAH374oT158mTb4XDYEydOtKurq01HQoD8+eefdmFhoe3xeOywsDB7woQJ9urVq+3e3l7T0TAM9u/ff9n/+cuXL7dt27Z9Pp+9Zs0a2+Vy2Q6Hw54xY4Z97Ngxs6ExZK60/m1tbf/6mXD//v2mo18Wv0MGAAAAAIZwDRkAAAAAGEIhAwAAAABDKGQAAAAAYAiFDAAAAAAMoZABAAAAgCEUMgAAAAAwhEIGAAAAAIZQyAAAAADAEAoZAADXCMuytHv3btMxAAABRCEDAIx6ubm5sixLTz755CVzTz/9tCzLUm5u7pC93tq1a5WSkjJk+wMAXL8oZAAASBo/frx27typv/76yz/W09Ojd999Vx6Px2AyAMBIRiEDAEDStGnT5PF4VFtb6x+rra3V+PHjlZqa6h/r7e3VihUrFBMTo7CwMGVmZsrr9frnP//8c1mWpb179yotLU3h4eFKT0/XyZMnJUnbtm3TunXrdOTIEVmWJcuytG3bNv/2v/76qx5++GGFh4crMTFRdXV1w//mAQDGUMgAAPjHY489ppqaGv/jt956S3l5eYOe8/zzz2vXrl3avn27mpublZCQoFmzZum3334b9LzVq1dr48aNOnTokIKDg/37mT9/vp577jklJyfr1KlTOnXqlObPn+/fbt26dcrJydHRo0c1e/ZsLV68+JJ9AwBGDgoZAAD/WLp0qRobG/XDDz+ovb1dBw4c0JIlS/zzXV1dqqqq0oYNG/TAAw8oKSlJW7ZskdPp1NatWwftq7S0VFlZWUpKSlJJSYkOHjyonp4eOZ1O3XjjjQoODpbL5ZLL5ZLT6fRvl5ubq4ULFyohIUFlZWXq6upSU1NTwP4GAIDACjYdAACAa8XYsWOVnZ2t7du3y7ZtZWdna+zYsf757777Tv39/crIyPCPhYSEaPr06Tpx4sSgfU2dOtV/Py4uTpLU0dHxn9ejXbhdRESEIiMj1dHR8X+9LwDAtYtCBgDABfLy8lRQUCBJeuONNwbN2bYt6e+vp794/OKxkJAQ//3zcz6f7z9f/8Ltzm97NdsBAK5PnLIIAMAF7r//fvX19amvr0+zZs0aNJeQkKDQ0FA1Njb6x/r7+3Xo0CFNmjTpql8jNDRUAwMDQ5YZAHD94ggZAAAXCAoK8p9+GBQUNGguIiJCTz31lFatWqWoqCh5PB5VVFSou7tbjz/++FW/xm233aa2tja1tLRo3LhxioyMlMPhGNL3AQC4PlDIAAC4yJgxY/517tVXX5XP59PSpUt15swZpaWl6ZNPPtEtt9xy1fufN2+eamtrdffdd+uPP/5QTU3NkP7wNADg+mHZ50+IBwAAAAAEFNeQAQAAAIAhFDIAAAAAMIRCBgAAAACGUMgAAAAAwBAKGQAAAAAYQiEDAAAAAEMoZAAAAABgCIUMAAAAAAyhkAEAAACAIRQyAAAAADCEQgYAAAAAhvwPFiSgAnHycIkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#linear regresion to see how different times of the year impact car sales\n",
    "lr_df=pd.read_csv('car_data.csv')\n",
    "\n",
    "lr_df['Date']=pd.to_datetime(lr_df['Date']) #convert to datetime\n",
    "lr_df['Month'] = lr_df['Date'].dt.month\n",
    "\n",
    "#unique_months = lr_df['Month'].unique()\n",
    "# Display the unique instances\n",
    "#print(unique_months)\n",
    "#lr_df\n",
    "from sklearn.linear_model import LinearRegression\n",
    "# Select features and target\n",
    "X = lr_df[['Month']]\n",
    "y = lr_df['Price ($)']\n",
    "\n",
    "# Initialize and fit linear regression model\n",
    "model = LinearRegression()\n",
    "model.fit(X, y)\n",
    "\n",
    "# Get coefficients (slope and intercept)\n",
    "slope = model.coef_[0]\n",
    "intercept = model.intercept_\n",
    "\n",
    "# Plot the data points and regression line\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(X, y, color='blue', label='Actual Data')\n",
    "plt.plot(X, model.predict(X), color='red', label='Regression Line')\n",
    "plt.title('Linear Regression: Month vs Price ($)')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Price ($)')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "#almost to none coleration between month and price of purchase, i wont be using this\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\pandas\\core\\algorithms.py:1814: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  return lib.map_infer(values, mapper, convert=convert)\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:605: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:614: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype) or not is_extension_array_dtype(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:605: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:614: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype) or not is_extension_array_dtype(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\pandas\\core\\algorithms.py:1814: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  return lib.map_infer(values, mapper, convert=convert)\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:605: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype):\n",
      "c:\\Users\\Korisnik\\anaconda3\\Lib\\site-packages\\sklearn\\utils\\validation.py:614: DeprecationWarning: is_sparse is deprecated and will be removed in a future version. Check `isinstance(dtype, pd.SparseDtype)` instead.\n",
      "  if is_sparse(pd_dtype) or not is_extension_array_dtype(pd_dtype):\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#make the graph more readable\n",
    "# Calculate average price for each month\n",
    "monthly_avg_price = lr_df.groupby('Month')['Price ($)'].mean().reset_index()\n",
    "\n",
    "# Select features and target for linear regression\n",
    "X = monthly_avg_price[['Month']]\n",
    "y = monthly_avg_price['Price ($)']\n",
    "\n",
    "# Initialize and fit linear regression model\n",
    "model = LinearRegression()\n",
    "model.fit(X, y)\n",
    "\n",
    "# Get coefficients (slope and intercept)\n",
    "slope = model.coef_[0]\n",
    "intercept = model.intercept_\n",
    "\n",
    "# Plotting\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# Scatter plot of average prices\n",
    "plt.scatter(monthly_avg_price['Month'], monthly_avg_price['Price ($)'], color='blue', label='Average Price')\n",
    "\n",
    "# Plot regression line\n",
    "plt.plot(X, model.predict(X), color='red', label='Regression Line')\n",
    "\n",
    "plt.title('Average Car Price by Month with Regression Line')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Average Price ($)')\n",
    "plt.xticks(range(1, 13), ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec'])\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n",
    "#PEOPLE PAY MORE NEARING THE END OF THE YEAR OR CARS ARE INCREASING IN PRICE DUE TO INFLATION (MY OPINION)"
   ]
  }
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