Bahrain GP 2023.ipynb

{
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      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "\n",
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       "        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>position</th>\n",
       "      <th>driver</th>\n",
       "      <th>driverid</th>\n",
       "      <th>constructor</th>\n",
       "      <th>constructorid</th>\n",
       "      <th>laps</th>\n",
       "      <th>time</th>\n",
       "      <th>points</th>\n",
       "      <th>grid</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Max Verstappen</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Red Bull</td>\n",
       "      <td>9.0</td>\n",
       "      <td>57</td>\n",
       "      <td>1:33:56.736</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>Sergio Pérez</td>\n",
       "      <td>81.5</td>\n",
       "      <td>Red Bull</td>\n",
       "      <td>9.0</td>\n",
       "      <td>57</td>\n",
       "      <td>11.987</td>\n",
       "      <td>18</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>Fernando Alonso</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Aston Martin</td>\n",
       "      <td>11.7</td>\n",
       "      <td>57</td>\n",
       "      <td>38.637</td>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>Carlos Sainz</td>\n",
       "      <td>83.2</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>6.0</td>\n",
       "      <td>57</td>\n",
       "      <td>48.052</td>\n",
       "      <td>12</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>Lewis Hamilton</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>13.1</td>\n",
       "      <td>57</td>\n",
       "      <td>50.977</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>Lance Stroll</td>\n",
       "      <td>84.0</td>\n",
       "      <td>Aston Martin</td>\n",
       "      <td>11.7</td>\n",
       "      <td>57</td>\n",
       "      <td>54.502</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>George Russell</td>\n",
       "      <td>84.7</td>\n",
       "      <td>Mercedes</td>\n",
       "      <td>13.1</td>\n",
       "      <td>57</td>\n",
       "      <td>55.873</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>Valtteri Bottas</td>\n",
       "      <td>77.0</td>\n",
       "      <td>Alfa Romeo</td>\n",
       "      <td>51.0</td>\n",
       "      <td>57</td>\n",
       "      <td>+1:12.647</td>\n",
       "      <td>4</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9.0</td>\n",
       "      <td>Pierre Gasly</td>\n",
       "      <td>84.2</td>\n",
       "      <td>Alpine F1 Team</td>\n",
       "      <td>21.4</td>\n",
       "      <td>57</td>\n",
       "      <td>+1:13.753</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10.0</td>\n",
       "      <td>Alexander Albon</td>\n",
       "      <td>23.0</td>\n",
       "      <td>Williams</td>\n",
       "      <td>3.0</td>\n",
       "      <td>57</td>\n",
       "      <td>+1:29.774</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11.0</td>\n",
       "      <td>Yuki Tsunoda</td>\n",
       "      <td>85.2</td>\n",
       "      <td>AlphaTauri</td>\n",
       "      <td>21.3</td>\n",
       "      <td>57</td>\n",
       "      <td>+1:30.870</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12.0</td>\n",
       "      <td>Logan Sargeant</td>\n",
       "      <td>85.8</td>\n",
       "      <td>Williams</td>\n",
       "      <td>3.0</td>\n",
       "      <td>56</td>\n",
       "      <td>+1 Lap</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13.0</td>\n",
       "      <td>Kevin Magnussen</td>\n",
       "      <td>76.0</td>\n",
       "      <td>Haas F1 Team</td>\n",
       "      <td>21.0</td>\n",
       "      <td>56</td>\n",
       "      <td>+1 Lap</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14.0</td>\n",
       "      <td>Nyck de Vries</td>\n",
       "      <td>21.0</td>\n",
       "      <td>AlphaTauri</td>\n",
       "      <td>21.3</td>\n",
       "      <td>56</td>\n",
       "      <td>+1 Lap</td>\n",
       "      <td>0</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15.0</td>\n",
       "      <td>Nico Hülkenberg</td>\n",
       "      <td>27.0</td>\n",
       "      <td>Haas F1 Team</td>\n",
       "      <td>21.0</td>\n",
       "      <td>56</td>\n",
       "      <td>+1 Lap</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16.0</td>\n",
       "      <td>Guanyu Zhou</td>\n",
       "      <td>24.0</td>\n",
       "      <td>Alfa Romeo</td>\n",
       "      <td>51.0</td>\n",
       "      <td>56</td>\n",
       "      <td>+1 Lap</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17.0</td>\n",
       "      <td>Lando Norris</td>\n",
       "      <td>84.6</td>\n",
       "      <td>McLaren</td>\n",
       "      <td>1.0</td>\n",
       "      <td>55</td>\n",
       "      <td>+2 Laps</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Esteban Ocon</td>\n",
       "      <td>83.9</td>\n",
       "      <td>Alpine F1 Team</td>\n",
       "      <td>21.4</td>\n",
       "      <td>41</td>\n",
       "      <td>Mechanical</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Charles Leclerc</td>\n",
       "      <td>84.4</td>\n",
       "      <td>Ferrari</td>\n",
       "      <td>6.0</td>\n",
       "      <td>39</td>\n",
       "      <td>Engine</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Oscar Piastri</td>\n",
       "      <td>85.7</td>\n",
       "      <td>McLaren</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13</td>\n",
       "      <td>Electrical</td>\n",
       "      <td>0</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    position           driver  driverid     constructor  constructorid  laps  \\\n",
       "0        1.0   Max Verstappen      50.0        Red Bull            9.0    57   \n",
       "1        2.0     Sergio Pérez      81.5        Red Bull            9.0    57   \n",
       "2        3.0  Fernando Alonso       4.0    Aston Martin           11.7    57   \n",
       "3        4.0     Carlos Sainz      83.2         Ferrari            6.0    57   \n",
       "4        5.0   Lewis Hamilton       1.0        Mercedes           13.1    57   \n",
       "5        6.0     Lance Stroll      84.0    Aston Martin           11.7    57   \n",
       "6        7.0   George Russell      84.7        Mercedes           13.1    57   \n",
       "7        8.0  Valtteri Bottas      77.0      Alfa Romeo           51.0    57   \n",
       "8        9.0     Pierre Gasly      84.2  Alpine F1 Team           21.4    57   \n",
       "9       10.0  Alexander Albon      23.0        Williams            3.0    57   \n",
       "10      11.0     Yuki Tsunoda      85.2      AlphaTauri           21.3    57   \n",
       "11      12.0   Logan Sargeant      85.8        Williams            3.0    56   \n",
       "12      13.0  Kevin Magnussen      76.0    Haas F1 Team           21.0    56   \n",
       "13      14.0    Nyck de Vries      21.0      AlphaTauri           21.3    56   \n",
       "14      15.0  Nico Hülkenberg      27.0    Haas F1 Team           21.0    56   \n",
       "15      16.0      Guanyu Zhou      24.0      Alfa Romeo           51.0    56   \n",
       "16      17.0     Lando Norris      84.6         McLaren            1.0    55   \n",
       "17       NaN     Esteban Ocon      83.9  Alpine F1 Team           21.4    41   \n",
       "18       NaN  Charles Leclerc      84.4         Ferrari            6.0    39   \n",
       "19       NaN    Oscar Piastri      85.7         McLaren            1.0    13   \n",
       "\n",
       "           time  points  grid  \n",
       "0   1:33:56.736      25     1  \n",
       "1        11.987      18     2  \n",
       "2        38.637      15     5  \n",
       "3        48.052      12     4  \n",
       "4        50.977      10     7  \n",
       "5        54.502       8     8  \n",
       "6        55.873       6     6  \n",
       "7     +1:12.647       4    12  \n",
       "8     +1:13.753       2    20  \n",
       "9     +1:29.774       1    15  \n",
       "10    +1:30.870       0    14  \n",
       "11       +1 Lap       0    16  \n",
       "12       +1 Lap       0    17  \n",
       "13       +1 Lap       0    19  \n",
       "14       +1 Lap       0    10  \n",
       "15       +1 Lap       0    13  \n",
       "16      +2 Laps       0    11  \n",
       "17   Mechanical       0     9  \n",
       "18       Engine       0     3  \n",
       "19   Electrical       0    18  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Libraries, Read Out Dataset\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "%matplotlib inline\n",
    "dataset = pd.read_csv('Bahrain GP 2023.csv')\n",
    "dataset.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b9312d05",
   "metadata": {},
   "outputs": [],
   "source": [
    "# X = Drivers ID, y = Final Position, Z = Constructors ID, H = Grid\n",
    "\n",
    "X = dataset.iloc[:-3, 2:-6].values\n",
    "y = dataset.iloc[:-3, :-8].values\n",
    "Z = dataset.iloc[:-3, 4:-4].values\n",
    "H = dataset.iloc[:-3, 8:].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f142a404",
   "metadata": {},
   "outputs": [
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      ],
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Machine Learning Regression Grid vs Final Position\n",
    "\n",
    "from sklearn.linear_model import LinearRegression\n",
    "regressor = LinearRegression()\n",
    "regressor.fit(H, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a4e7c2c9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Position')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
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      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bahrain GP 23 Driver Position\n",
    "\n",
    "plt.figure(figsize=(15,10))\n",
    "plt.grid(color = 'green', linestyle = '--', linewidth = 0.5)\n",
    "plt.scatter(X, y, color = 'blue')\n",
    "plt.title('Bahrain GP 23 Driver Positions')\n",
    "plt.xlabel('Driver ID')\n",
    "plt.ylabel('Position')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d1382281",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Position')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bahrain GP 23 Constructor Position\n",
    "\n",
    "plt.figure(figsize=(15,10))\n",
    "plt.grid(color = 'green', linestyle = '--', linewidth = 0.5)\n",
    "plt.scatter(Z, y, color = 'blue')\n",
    "plt.title('Bahrain GP 23 Constructor Positions')\n",
    "plt.xlabel('Constructor ID')\n",
    "plt.ylabel('Position')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9f4416f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Drivers')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bahrain GP 23 Driver Points\n",
    "\n",
    "f, ax = plt.subplots(figsize=(15,10))\n",
    "sns.barplot(x='points', y='driver', data=dataset)\n",
    "plt.title('Bahrain GP 23 Driver Points')\n",
    "plt.xlabel('GP Points')\n",
    "plt.ylabel('Drivers')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ab0435ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Constructors')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bahrain GP 23 Constructor Points\n",
    "\n",
    "f, ax = plt.subplots(figsize=(15,10))\n",
    "sns.barplot(x='points', y='constructor', data=dataset)\n",
    "plt.title('Bahrain GP 23 Constructor Points')\n",
    "plt.xlabel('GP Points')\n",
    "plt.ylabel('Constructors')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f19ea087",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Finish Position')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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nvcLsSOGwtHGj83k4IXHVC6KKVmBFK7AKaisszRB4O/ft9HoE+AStwIpWYBVXrWw1vquW9fOQR1z1gqiiFVjRCqyC2gpLMwTehBUTvB4BPkErsKIVWMVVK5Uq5e/nIY+46gVRRSuwohVYBbUVlmYAAAA4eU2aOO+SGQpFfj0UkqpVcz4PAADAB0LhcKSntcYP69uIIrh2Z+xWySIlvR4DPkArsKIVWMVdK4fePVPK+YYAhxZpU6ZIKSmxnytOxF0viBpagRWtwCreWrHuirjSDIH34OcPej0CfIJWYEUrsIq7VlJSnMVYlSo5j1etysIsH8RdL4gaWoEVrcAqqK0U8noAwGvr09Z7PQJ8glZgRSuwistWUlKkdu2cd8ncutV5hlmTJlJioteT+V5c9oKooBVY0QqsgtoKSzMEXr3y9bweAT5BK7CiFVjFbSuJiVLTpl5PEXfithfkO1qBFa3AKqit8EwzBN6W3VtUuWRlr8eAD9AKrGgFVrQCN+gFVrQCK1qBVby1wjPNAKPbZ9zu9QjwCVqBFa3AilbgBr3AilZgRSuwCmorLM0AAAAAAACAXFiaIfB6XdjL6xHgE7QCK1qBFa3ADXqBFa3AilZgFdRWWJoh8DKzM70eAT5BK7CiFVjRCtygF1jRCqxoBVZBbYWlGQJv3LJxXo8An6AVWNEKrGgFbtALrGgFVrQCq6C2wtIMAAAAAAAAyCUUDofDXg8RTda3EUVw7di3Q+WKl/N6DPgArcCKVmBFK3CDXmBFK7CiFVjFWyvWXRFXmiHwnvnqGa9HgE/QCqxoBVa0AjfoBVa0AitagVVQW2FphsBbuXOl1yPAJ2gFVrQCK1qBG/QCK1qBFa3AKqitsDRD4NUuU9vrEeATtAIrWoEVrcANeoEVrcCKVmAV1FZ4phkCb9f+XSpTrIzXY8AHaAVWtAIrWoEb9AIrWoEVrcAq3lrhmWaAUY9pPbweAT5BK7CiFVjRCtygF1jRCqxoBVZBbYWlGQAAAAAAAJALSzMEXrfzu3k9AnyCVmBFK7CiFbhBL7CiFVjRCqyC2gpLMwRe8aTiXo8An6AVWNEKrGgFbtALrGgFVrQCq6C2wtIMgTfm2zFejwCfoBVY0QqsaAVu0AusaAVWtAKroLbC0gwAAAAAAADIJRQOh8NeDxFN1rcRRXBtSt+kqqWqej0GfIBWYEUrsKIVuEEvsKIVWNEKrOKtFeuuiCvNEHhjFgfzMlO4RyuwohVY0QrcoBdY0QqsaAVWQW2FpRkCb/mvy70eAT5BK7CiFVjRCtygF1jRCqxoBVZBbYWlGQKvWqlqXo8An6AVWNEKrGgFbtALrGgFVrQCq6C2wjPNEHj7MvcF9u1z4Q6twIpWYEUrcINeYEUrsKIVWMVbKzzTDDDqMqWL1yPAJ2gFVrQCK1qBG/QCK1qBFa3AKqitsDQDAAAAAAAAcmFphsDrdG4nr0eAT9AKrGgFVrQCN+gFVrQCK1qBVVBbYWmGwKtUopLXI8AnaAVWtAIrWoEb9AIrWoEVrcAqqK2wNEPgjfrXKK9HgE/QCqxoBVa0AjfoBVa0AitagVVQW2FpBgAAAAAAAOQSCofDYa+HiCbr24giuNbsWqNaZWp5PQZ8gFZgRSuwohW4QS+wohVY0Qqs4q0V666IK80QeBNWTPB6BPgErcCKVmBFK3CDXmBFK7CiFVgFtZVCXg8AeG3R5kVejwCfoBVY0QqsaAVuxKSXrCxp/nxp61apUiWpSRMpMTH63xf5inMLrGgFVkFthaUZAq/8KeW9HgE+QSuwohVY0QrciHovqalSv37Spk3/O1a1qjRqlJSSEt3vjXzFuQVWtAKroLbi6TPNvvzySz377LP69ttvtXXrVk2dOlXt27fP8Tk//fST7r//fs2bN0/Z2dk699xzNWnSJFWvXt30PXimGY4nKztLiQn8DSqOj1ZgRSuwohW4EdVeUlOlDh2k3P9pEAo5/5wyhcWZj3BugRWtwCreWvHFM8327t2r+vXra/To0RFfX7NmjRo3bqyzzjpLc+fO1fLly/Xwww+raNGiMZ4U8ey6idd5PQJ8glZgRSuwohW4EbVesrKcK8wi/V36oWP9+zufB1/g3AIrWoFVUFvx9PbMVq1aqVWrVkd9ffDgwWrdurWGDx9++NgZZ5xxzK+ZkZGhjIyMwx+np6ef/KAAAABAvJo/P+ctmbmFw9LGjc7nNW0as7EAAPBagX2mWXZ2tmbOnKmBAwfqqquu0tKlS3X66afrgQceyHML55GeeuopDR06NM/xzpM7K6l4ksanjNeDnz+o9WnrVa98PfVt2Fe3z7hdktTrwl7KzM7UuGXjJEmvt3tdz3z1jFbuXKnaZWrrocseUo9pPSRJ3c7vpuJJxTXm2zGSpFfavKIxi8do+a/LVa1UNT3b8ll1mdJFktTp3E6qVKKSRv1rlCTphate0IQVE7Ro8yKVP6W8xlwz5vDWtl3ddqpbrq6GL3AWhU9f+bRmrpqp+Rvmq1SRUnon5R2lTEzRweyDuqrWVWpYpaEe//JxSdKQpkO0YMMCfbr2UxUpVESTO07WDe/foD0H9ujyGperZa2WGvzFYEnSoMaDtGL7Cs1YNUOS9EHXD9Rzek/t3LdTl1S9RB3O6aB7Zt8jSRpwyQBtSNugKT9OkSRN6jhJd398tzbv3qwGFRvo1gtvVd9ZfSVJfS7uo7Q/0jT++/GSpLeve1uPzn1Ua39bq7PLna0BlwxQrw97SZJuaXCL8+e89HVJ0thrx2rEwhH6acdPOuPUMzS06VB1m9pNknTjeTcquWiyXvnmFUnS6Naj9dqS17R021JVKVlFL1z9gjpN7iRJ6nBOB1VPrq4RC0dIkp5v+bym/DhFCzctVNniZfVGuzfUdkJbSdI1Z16jc0879/DHTzR/QrPXzNa89fNUonAJvXv9u+o4uaMyDmaoxRkt1Kh6Iw2ZO0SS9PBlD2vR5kX6ZM0nKpRQSKmdU3VT6k1Kz0hXk+pN1ObMNhr02SBJ0sBGA7Vyx0pNXzldkjS181T1ntFb2/duV8MqDdW1Xlfd/cndkqR+f+6nrXu2atIPkyRJ73V4T/fNvk8b0zeqfoX66n1Rb/WZ2UeS1PtPvbUvc5/e/u5tSdK49uM07MthWr1rteqWrav7G9+vW6Y7f849LuihpIQkjV0yVpL06jWvavSi0VqxfYVqJNfQk1c8qRtTb5Qkda3XVWWLl9XoRc5VoC+2elFvLX9Li7csVqUSlTS69WhdP+l6SdJ1Z12nWmVq6bmvn5MkDW8xXNN/nq4FGxfo1GKn6s32b6r9e+2VHc5W6zqt1aBiAz0x/wlJ0mPNHtPcX+bqi3VfqFhSMU3sMFGdp3TW/sz9an56czWt2VSPzHlEkjS4yWAt3bZUs/49SwmhBE3rMk3dp3XXb/t/U6NqjdTurHYa+OlASdK9l96rNbvWaOrPUyVJ73d6X31n9dXWPVt1UeWLdHP9m3XXR3dJkvo27Kud+3YefjeYY50jaiTXUOpPqZwjAnaOqFe+np7+6mlJ9nPEhrQN+mbzN5wjAnaOOJGfIzakbVDbCW05RwTsHCGd2M8Rh3rJ93PE4qelrtK4adKwy6TVZaS6O6T7F0i3tJNzjlgmJf17hsZuHcE5IobniBP9OSIxlKi2E9pyjlCwzhEn8nPE1bWu1h0z7+DniICdI07k54jte7dLUtycI7rUcf58jsfTZ5odKRQK5Xim2bZt21SpUiUVL15cw4YNU7NmzfTxxx/rwQcf1Jw5c3T55ZdH/DqRrjSrVq0azzTDUX214Ss1rt7Y6zHgA7QCK1qBFa3Ajaj1Mneu1KzZ8T9vzhyuNPMJzi2wohVYxVsrvnim2bFkZ2dLktq1a6e7775bF1xwgQYNGqRrrrlGr7766lF/X5EiRVSqVKkcv4BjObRFB46HVmBFK7CiFbgRtV6aNHHeJfPQQ/9zC4WkatWcz4MvcG6BFa3AKqitFNilWbly5VSoUCGdc845OY6fffbZ2rBhg0dTAQAAAHEmMVEa5dy2k2dxdujjkSOdzwMAIEAK7NKscOHCuvjii7Vy5cocx1etWqUaNWp4NBXi0dNXPu31CPAJWoEVrcCKVuBGVHtJSZGmTJGqVMl5vGpV53hKSvS+N/Id5xZY0QqsgtqKp0uzPXv2aNmyZVq2bJkkad26dVq2bNnhK8nuu+8+TZw4UWPHjtXq1as1evRoffjhh+rTp4+HUyPezFw10+sR4BO0AitagRWtwI2o95KSIv3yi/Pssnffdf65bh0LMx/i3AIrWoFVUFvxdGm2ePFiNWjQQA0aNJAkDRgwQA0aNNAjjzjvYHHdddfp1Vdf1fDhw3XeeefpH//4h95//301bhw/D5+D9+ZvmO/1CPAJWoEVrcCKVuBGTHpJTHQe9t+1q/NPbsn0Jc4tsKIVWAW1lUJefvOmTZvqeG/eecstt+iWW26J0UQIolJFeLMI2NAKrGgFVrQCN+gFVrQCK1qBVVBbCYWPt7XyOevbiAIAAAAAACD+WXdFBfaNAIBYSZnIczpgQyuwohVY0QrcoBdY0QqsaAVWQW2FpRkC72D2Qa9HgE/QCqxoBVa0AjfoBVa0AitagVVQW2FphsC7qtZVXo8An6AVWNEKrGgFbtALrGgFVrQCq6C2wtIMgdewSkOvR4BP0AqsaAVWtAI36AVWtAIrWoFVUFthaYbAe/zLx70eAT5BK7CiFVjRCtygF1jRCqxoBVZBbYWlGQAAAAAAAJBLKBwOh70eIpqsbyOK4FqydYkurHSh12PAB2gFVrQCK1qBG/QCK1qBFa3AKt5ase6KuNIMgbdgwwKvR4BP0AqsaAVWtAI36AVWtAIrWoFVUFthaYbA+3Ttp16PAJ+gFVjRCqxoBW7QC6xoBVa0AqugtsLSDIFXpFARr0eAT9AKrGgFVrQCN+gFVrQCK1qBVVBb4ZlmAAAAAAAACAyeaQYY3fD+DV6PAJ+gFVjRCqxoBW7QC6xoBVa0AqugtsLSDIG358Aer0eAT9AKrGgFVrQCN+gFVrQCK1qBVVBbYWmGwLu8xuVejwCfoBVY0QqsaAVu0AusaAVWtAKroLbC0gyB17JWS69HgE/QCqxoBVa0AjfoBVa0AitagVVQW2FphsAb/MVgr0eAT9AKrGgFVrQCN+gFVrQCK1qBVVBbYWkGAAAAAAAA5MLSDIE3qPEgr0eAT9AKrGgFVrQCN+gFVrQCK1qBVVBbYWmGwFuxfYXXI8AnaAVWtAIrWoEb9AIrWoEVrcAqqK2wNEPgzVg1w+sR4BO0AitagRWtwA16gRWtwIpWYBXUVliaAQAAAAAAALmEwuFw2Oshoik9PV3JyclKS0tTqVKlvB4HAAAAAAAAHrLuirjSDIHXc3pPr0eAT9AKrGgFVrQCN+gFVrQCK1qBVVBbYWmGwNu5b6fXI8AnaAVWtAIrWoEb9AIrWoEVrcAqqK2wNEPgXVL1Eq9HgE/QCqxoBVa0AjfoBVa0AitagVVQW2FphsDrcE4Hr0eAT9AKrGgFVrQCN+gFVrQCK1qBVVBbYWmGwLtn9j1ejwCfoBVY0QqsaAVu0AusaAVWtAKroLbC0gwAAAAAAADIhaUZAm/AJQO8HgE+QSuwohVY0QrcoBdY0QqsaAVWQW2FpRkCb0PaBq9HgE/QCqxoBVa0AjfoBVa0AitagVVQW2FphsCb8uMUr0eAT9AKrGgFx5WVJc2dqymfjpLmznU+Bo6DcwusaAVWtAKroLbC0gwAACCWUlOlmjWlZs2kJUucf9as6RwHAABAgREKh8Nhr4eIpvT0dCUnJystLU2lSpXyehwUQH8c/ENFCxX1egz4AK3AilZwVKmpUocO0n9//PqjkFT0oKRQyHl9yhQpJcW7+VCgcW6BFa3AilZgFW+tWHdFXGmGwLv747u9HgE+QSuwohVElJUl9et3eGEmSXdf9d9/OXSsf39u1cRRcW6BFa3AilZgFdRWWJoh8Dbv3uz1CPAJWoEVrSCi+fOlTZtyHNp85F9shsPSxo3O5wERcG6BFa3AilZgFdRWWJoh8BpUbOD1CPAJWoEVrSCirVvzHGqQ91DEzwMkzi2woxVY0QqsgtoKSzME3q0X3ur1CPAJWoEVrSCiSpXyHLp1qe3zAIlzC+xoBVa0AqugtsLSDIHXd1Zfr0eAT9AKrGgFETVpIlWt+r+H/kvq2/qI10MhqVo15/OACDi3wIpWYEUrsApqKyzNAAAAYiExURo1yvn3IxZnOT4eOdL5PAAAgAJgwQLpr3+V9myp4vUonmBphsDrc3Efr0eAT9AKrGgFR5WSIk2ZIlVxfvDs881/j1et6hxPSfFuNhR4nFtgRSuwohUczdy5zt/pNW4svfqqFJr/kNcjeaKQ1wMAXkv7I83rEeATtAIrWsExpaRI7dpJ8+crbVWqdGaKc0smV5jhODi3wIpWYEUryO3TT6WWLfMev/rm7yUF72ozrjRD4I3/frzXI8AnaAVWtILjSkyUmjbV+JK/SE2bsjCDCecWWNEKrGgFh8ya5VxZlnth9vTTUjgszc94xZvBPMaVZgAAAAAAAAE0fbrUvn3e4yNGSHffHfNxCpxQOBwOez1ENKWnpys5OVlpaWkqVaqU1+OgAEr7I03JRZO9HgM+QCuwohVY0QrcoBdY0QqsaCW4Jk+WOnXKe3z0aOmOO/Iej7dWrLsibs9E4D0691GvR4BP0AqsaAVWtAI36AVWtAIrWgme8eOd2zBzL8z+/nfnNsxICzMpuK1weyYCb+1va70eAT5BK7CiFVjRCtygF1jRCqxoJTjGjZN69ox8vHv34//+oLbC0gyBd3a5s70eAT5BK7CiFVjRCtygF1jRCqxoJf79/e9S7955j48fL91wg/3rBLUVnmmGwPt1z6+qUKKC12PAB2gFVrQCK1qBG/QCK1qBFa3Er9GjpTvvzHt8yhTp+uvdf714a4VnmgFGvT7s5fUI8AlagRWtwIpW4Aa9wIpWYEUr8WfECOeZZbkXZtOnO88sO5GFmRTcVliaAQAAAAAA+NiTTzrLsnvuyXn8o4+cZVnbtt7M5Xc80wyBd0uDW7weAT5BK7CiFVjRCtygF1jRCqxoxd/CYWnoUOdXbp9+Kl15Zf59r6C2wtIMAAAAAADAJ8Jh6cEHpaefzvvavHnSZZfFfqZ4xe2ZCLzXl77u9QjwCVqBFa3AilbgBr3AilZgRSv+Eg5LAwZICQl5F2YLFjivR2thFtRWuNIMAAAAAACggAqHpb59pVdeyfvaokXSxRfHfqagCIXD4bDXQ0ST9W1EEVzx9ta5iB5agRWtwIpW4Aa9wIpWYEUrBVt2tnTbbdJrr+V9bckSqUGD2M0Sb61Yd0XcnonAG7FwhNcjwCdoBVa0AitagRv0AitagRWtFExZWVK3blJiYt6F2fffO1eexXJhJgW3FW7PROD9tOMnr0eAT9AKrGgFVrQCN+gFVrQCK1opWA4elG64QZo8Oe9rP/4onX127Gc6JKitsDRD4J1x6hlejwCfoBVY0QqsaAVu0AusaAVWtFIwZGZKHTtK06fnfW3VKqlOndjPlFtQW+GZZgi8tD/SlFw02esx4AO0AitagRWtwA16gRWtwIpWvJWRIbVrJ33ySc7joZC0Zo10+unezBVJvLXCM80Ao25Tu3k9AnyCVmBFK7CiFbhBL7CiFVjRijf++ENq3lwqWjTnwqxIEWn9eucNAArSwkwKbivcngkAAAAAABBl+/ZJV14pLVyY83hysvTDD1KVKt7MhaNjaYbAu/G8G70eAT5BK7CiFVjRCtygF1jRCqxoJTb27JGaNpW+/Tbn8dNOk777TqpY0ZOxXAlqKyzNEHjxdF82ootWYEUrsKIVuEEvsKIVWNFKdKWnS40aSStW5Dxetaq0ZImzNPOLoLbCM80QeK9884rXI8AnaAVWtAIrWoEb9AIrWoEVrUTHb79JZ57p3HZ55MKsVi1p505p40Z/Lcyk4LbClWYAAAAAAAAnaedO6cILpQ0bch4/5xzp66+dJRr8JRQOh8NeDxFN1rcRRXBtSNug6snVvR4DPkArsKIVWNEK3KAXWNEKrGglf2zdKp17rnOF2ZEaNJDmzZNKlvRmrvwUb61Yd0XcnonAe23Ja16PAJ+gFVjRCqxoBW7QC6xoBVa0cnKWLJFCIaly5ZwLs7/8xXn4/5Il8bEwk4LbCkszBN7SbUu9HgE+QSuwohVY0QrcoBdY0QqsaOXELFzoLMv+9Kecxxs1kvbtc14/5RRvZouWoLbCM80QeFVKVvF6BPgErcCKVmBFK3CDXmBFK7CiFXfmzZOaNo382u+/x/czy4LaCs80Q+D9cfAPFS1U1Osx4AO0AitagRWtwA16gRWtwIpWbGbPlq66KvJru3dLJUrEdh4vxFsrPNMMMOo0uZPXI8AnaAVWtAIrWoEb9AIrWoEVrRzbhx86t2FGWpjt2yeFw8FYmEnBbYWlGQAAAAAAwH9Nnuwsy9q2zfvaH384y7JixWI/F2KPpRkCr8M5HbweAT5BK7CiFVjRCtygF1jRCqxoJae333aWZZ0iXFR14ICzLCtSJPZzFQRBbYWlGQKvenJ1r0eAT9AKrGgFVrQCN+gFVrQCK1pxjB3rLMtuvjnvawcPOsuypKTYz1WQBLUVlmYIvBELR3g9AnyCVmBFK7CiFbhBL7CiFVgFvZUXX3SWZbfdlve1rCxnWZaYeJwvkpUlzZ0rTZjg/DMrKwqTei+orXi6NPvyyy917bXXqnLlygqFQpo2bdpRP7d3794KhUIaOXJkzOYDAAAAAADx5emnnWVZv355X8vOdpZlCZZtSWqqVLOm1KyZdMMNzj9r1nSOIy54ujTbu3ev6tevr9GjRx/z86ZNm6Z//etfqly5cowmQ5A83/J5r0eAT9AKrGgFVrQCN+gFVrQCq6C18sgjzrLsgQfyvnZoWRYKGb9YaqrUoYO0aVPO45s3O8fjbHEWtFYO8XRp1qpVKw0bNkwpKSlH/ZzNmzerb9++Gj9+vJKCfhMxomLKj1O8HgE+QSuwohVY0QrcoBdY0QqsgtLKvfc6y7DHH895vHBhZ1HmalkmObdg9uvn/MbcDh3r3z+ubtUMSiu5FehnmmVnZ6tbt2667777dO6555p+T0ZGhtLT03P8Ao5l4aaFXo8An6AVWNEKrGgFbtALrGgFVvHeSp8+zjLs+VwXSZUr5+y2MjJO8AvPn5/3CrMjhcPSxo3O58WJeG/laAp5PcCxPPPMMypUqJDuuusu8+956qmnNHTo0DzHO0/urKTiSRqfMl4Pfv6g1qetV73y9dS3YV/dPuN2SVKvC3spMztT45aNkyS93u51PfPVM1q5c6Vql6mthy57SD2m9ZAkdTu/m4onFdeYb8dIkl5p84rGLB6j5b8uV7VS1fRsy2fVZUoXSVKnczupUolKGvWvUZKkF656QRNWTNCizYtU/pTyGnPNGF038TpJUru67VS3XF0NXzBckvT0lU9r5qqZmr9hvkoVKaV3Ut5RysQUHcw+qKtqXaWGVRrq8S+ddfmQpkO0YMMCfbr2UxUpVESTO07WDe/foD0H9ujyGperZa2WGvzFYEnSoMaDtGL7Cs1YNUOS9EHXD9Rzek/t3LdTl1S9RB3O6aB7Zt8jSRpwyQBtSNtweLM8qeMk3f3x3dq8e7MaVGygWy+8VX1n9ZUk9bm4j9L+SNP478dLkt6+7m09OvdRrf1trc4ud7YGXDJAvT7sJUm6pcEtzp/z0tclSWOvHasRC0fopx0/6YxTz9DQpkPVbWo3SdKN592o5KLJeuWbVyRJo1uP1mtLXtPSbUtVpWQVvXD1C+o02Xlf4A7ndFD15OqHH1T4fMvnNeXHKVq4aaHKFi+rN9q9obYT2kqSrjnzGmWFsw5//ETzJzR7zWzNWz9PJQqX0LvXv6uOkzsq42CGWpzRQo2qN9KQuUMkSQ9f9rAWbV6kT9Z8okIJhZTaOVU3pd6k9Ix0NaneRG3ObKNBnw2SJA1sNFArd6zU9JXTJUlTO09V7xm9tX3vdjWs0lBd63XV3Z/cLUnq9+d+2rpnqyb9MEmS9F6H93Tf7Pu0MX2j6leor94X9VafmX0kSb3/1Fv7Mvfp7e/eliSNaz9Ow74cptW7Vqtu2bq6v/H9umW68+fc44IeSkpI0tglYyVJr17zqkYvGq0V21eoRnINPXnFk7ox9UZJUtd6XVW2eFmNXuTcOv1iqxf11vK3tHjLYlUqUUmjW4/W9ZOulyRdd9Z1qlWmlp77+jlJ0vAWwzX95+lasHGBTi12qt5s/6bav9de2eFsta7TWg0qNtAT85+QJD3W7DHN/WWuvlj3hYolFdPEDhPVeUpn7c/cr+anN1fTmk31yJxHJEmDmwzW0m1LNevfs5QQStC0LtPUfVp3/bb/NzWq1kjtzmqngZ8OlCTde+m9WrNrjab+PFWS9H6n99V3Vl9t3bNVF1W+SDfXv1l3feScV/o27Kud+3ZqwooJknTMc8S+zH1K/SmVc0TAzhH1ytfT0189Lcl+jli2bZm+2fwN54iAnSNO5OeIZduWqe2EtpwjAnaOkE7s54hDvXCOCM454kR/jtiUvkltJ7TlHKFgnSNO5OeI5KLJumPmHXF3jlj6t/7aNL+5cjul/K9qPrKXmp/eXMu2ncQ54ucJmtrV+ZrvT5T6tpa2lpQu2iLdvFy6q5XzWt/Vn2hn2a0F7hxxIj9H/PCfHyQpbs4RXep0ydNHJKFwONL1hLEXCoU0depUtW/fXpL07bffqk2bNlqyZMnhZ5nVrFlT/fv3V//+/Y/6dTIyMpRxxLo4PT1d1apVU1pamkqVKhXN/wkAAAAAAMAjHTpI77+f9/h550nffZeP32juXOeh/8czZ47UtGk+fmPkl/T0dCUnJx93V1Rgb8+cP3++tm/frurVq6tQoUIqVKiQ1q9fr3vuuUc1a9Y86u8rUqSISpUqleMXcCyH/iYIOB5agRWtwIpW4Aa9wIpWYBUvrVx9tXMbZu6F2aWXOndK5uvCTJKaNJGqVj36g9BCIalaNefz4kS8tOJWgb09s1u3brryyitzHLvqqqvUrVs39ezZ06OpAAAAAABAQdCkifTVV3mPt2ghzZ4dxW+cmCiNGuVc2hYK5XxDgEOLtJEjnc+Dr3m6NNuzZ49Wr159+ON169Zp2bJlKlOmjKpXr66yZcvm+PykpCRVrFhRdevWjfWoiGPXnHmN1yPAJ2gFVrQCK1qBG/QCK1qBlV9bueACafnyvMfbt5emTo3RECkp0pQpzrtoHvmmAFWrOguzlJQYDRIbfm3lZHm6NFu8eLGaHXEf8IABAyRJ3bt317hx4zyaCkFTr3w9r0eAT9AKrGgFVrQCN+gFVrQCK7+1Uru2tGZN3uM33SS9/Xbs51FKitSunfMumVu3SpUqOZe/xeEVZn5rJb94+kyzpk2bKhwO5/l1tIXZL7/8csw3AQBOxKF3swGOh1ZgRSuwohW4QS+wohVY+aWV8uWdux5zL8xuu825M9KThdkhiYnOw/67dnX+GYcLM8k/reS3AvtMMwAAAAAAEFzFikl//JH3+IAB0vPPx34eBE8oHD7yiXXxx/o2ogiu73/9XudVOM/rMeADtAIrWoEVrcANeoEVrcCqILYSDksJR7knbvBgadiw2M4DR0Fs5WRYd0We3p4JFASz10TzbVUQT2gFVrQCK1qBG/QCK1qBVUFqJRx2bsGMtDB78knndRZm3ilIrcQSSzME3rz187weAT5BK7CiFVjRCtygF1jRCqwKQivZ2Udflo0Y4SzLHngg9nMhp4LQihd4phkCr0ThEl6PAJ+gFVjRCqxoBW7QC6xoBVZetpKVJRU6ykbi1Vel3r1jOw+OLajnFZ5pBgAAAAAAYuLgQSkpKfJr48ZJ3bvHdBwEFM80A4w6Tu7o9QjwCVqBFa3AilbgBr3AilZgFctWDhxwbsOMtDCbONG5DZOFWcEV1PMKt2ci8DIOZng9AnyCVmBFK7CiFbhBL7CiFVjFopX9+6XixSO/Nm2a1K5d1EdAPgjqeYWlGQKvxRktvB4BPkErsKIVWNEK3KAXWNEKrKLZyt69UomjPAbro4+kq6+O2rdGFAT1vMLSDIHXqHojr0eAT9AKrGgFVrQCN+gFVrQCq2i0kp4uJSdHfm3OHKlp03z/loiBoJ5XeKYZAm/I3CFejwCfoBVY0QqsaAVu0AusaAVW+dnKrl3OM8siLcwWLHCeWcbCzL+Cel7hSjMAAAAAAHBCtm+XKlSI/NrixdKf/hTbeYD8FAqHw2Gvh4gm69uIIri+2fyNLq5ysddjwAdoBVa0AitagRv0AitagdXJtLJli1SlSuTXvvtOOu+8kxgMBU68nVesuyJuz0TgLdq8yOsR4BO0AitagRWtwA16gRWtwOpEWtmwwbkNM9LC7OefndswWZjFn6CeV1iaIfA+WfOJ1yPAJ2gFVrQCK1qBG/QCK1qBlZtW1qxxlmU1akR+LRyW6tbNx+FQoAT1vMIzzRB4hRL4PwPY0AqsaAVWtAI36AVWtAIrSys//yydfXbk1zZskKpVy+ehUCAF9bzCM80AAAAAAEAO330n1a8f+bUtW6RKlWI7D5CfeKYZYHRT6k1ejwCfoBVY0QqsaAVu0AusaAVWkVpZvNi5DTPSwmz7duc2TBZmwRPU8wpLMwReeka61yPAJ2gFVrQCK1qBG/QCK1qB1ZGtLFjgLMsujvAGibt2Ocuy006L4XAoUIJ6XmFphsBrUr2J1yPAJ2gFVrQCK1qBG/QCK1qBVZPqTTRnjrMsa9w47+tpac6y7NRTYz8bCpagnleC+SQ34Ahtzmzj9QjwCVqBFa3AilbgBr3AilZg8dFH0sDW90V8bc8e6ZRTYjwQCrSgnle40gyBN+izQV6PAJ+gFVjRCqxoBW7QC6xoBccybZpzZVnr1nlf27/fubKMhRlyC+p5haUZAAAAAABxbuJEZ1l23XV5X8vIcJZlRYvGfi6gIGNphsAb2Gig1yPAJ2gFVrQCK1qBG/QCK1rBkcaNc5ZlXbrkfW3Omq8UDkuFC8d8LPhMUM8rLM0QeCt3rPR6BPgErcCKVmBFK3CDXmBFK5CkV191lmU9e+Z97eBB58qyNb/TCmyCel5haYbAm75yutcjwCdoBVa0AitagRv0AitaCbYRI5xl2V//mve1rCxnWZaY6HxMK7AKaisszQAAAAAA8LknnnCWZffck/e17GxnWZbABgBwJRQOh8NeDxFN6enpSk5OVlpamkqVKuX1OCiAsrKzlJiQ6PUY8AFagRWtwIpW4Aa9wIpWguWhh5yFWSTZ2c4i7WhoBVbx1op1V8SeGYHXe0Zvr0eAT9AKrGgFVrQCN+gFVrQSDHff7SzEci/Mihd3rioLh4+9MJNoBXZBbYWlGQJv+97tXo8An6AVWNEKrGgFbtALrGglvvXu7SzDRo7MebxiRWdRtnev/WvRCqyC2gpLMwRewyoNvR4BPkErsKIVWNEK3KAXWNFKfLrpJmdZ9ve/5zxep46zLNu61f3XpBVYBbUVnmmGwFuza41qlanl9RjwAVqBFa3AilbgBr3AilbiS/v20vQIb1zYoIG0ZMnJfW1agVW8tcIzzQCjuz+52+sR4BO0AitagRWtwA16gRWt+FBWljR3rjRhgvPPrCy1aOFcWZZ7YXbZZc6VZSe7MJNoBXZBbaWQ1wMAAAAAABBYqalSv37Spk2SpEv0tf6pvO9S2KqVNGtWrIcDgo2lGQKv35/7eT0CfIJWYEUrsKIVuEEvsKIVH0lNlTp0kMJhnafvtELn5fmUDh2kyZOj8+1pBVZBbYXbMxF4W/ecwBMzEUi0AitagRWtwA16gRWt+ERWltSvn2qG1yqkcJ6FWXeNU7hadU1+LytqI9AKrILaCkszBN6kHyZ5PQJ8glZgRSuwohW4QS+wohV/KFsmW6FNG7VeNXMc76OXFVZI49RT2rhRmj8/ajPQCqyC2gq3ZwIAAAAAECNJSdLBg5KUlOP4fRqu4bo/72/YGswrfICCIBQOh8NeDxFN1rcRRXDty9yn4knFvR4DPkArsKIVWNEK3KAXWNFKwRMOSwlHuc/rEQ3VUA05+m+eM0dq2jQaY9EKzOKtFeuuiNszEXj3zb7P6xHgE7QCK1qBFa3ADXqBFa0UHOGwFApFXpg9/WS2wlWraWhoaOTfHApJ1apJTZpEbT5agVVQW2FphsDbmL7R6xHgE7QCK1qBFa3ADXqBFa14Lzv76MuyUaOcZdr9DyQ4H0jOJx/p0McjR0qJiVGbk1ZgFdRWWJoh8OpXqO/1CPAJWoEVrcCKVuAGvcCKVryTleXsuyLtucaOdZZld911xMGUFGnKFKlKlZyfXLWqczwlJarz0gqsgtoKzzRD4G1K36Sqpap6PQZ8gFZgRSuwohW4QS+wopXYy8yUCheO/Nrbb0s33XScL5CV5bxL5tatUqVKzi2ZUbzC7BBagVW8tcIzzQCjPjP7eD0CfIJWYEUrsKIVuEEvsKKV2MnIcK4si7QwmzzZubLsuAszyVmQNW0qde3q/DMGCzOJVmAX1FYKeT0AAAAAAAB+sn+/VPwobyT4wQfStdfGdh4A0cHSDIHX+0+9vR4BPkErsKIVWNEK3KAXWNFK9OzZI5UsGfm12bOlFi1iO8/JohVYBbUVlmYIvH2Z+7weAT5BK7CiFVjRCtygF1jRSv5LS5NKl4782rx50mWXxXScfEMrsApqKzzTDIH39ndvez0CfIJWYEUrsKIVuEEvsKKV/LNzp/PMskgLs3/+03lmmV8XZhKtwC6orXClGQAAAAAAR9i+XapQIfJrS5ZIDRrEdh4A3giFw+Gw10NEk/VtRBFcu/bvUpliZbweAz5AK7CiFVjRCtygF1jRyonbvFmqWjXya99/L9WrF9t5oo1WYBVvrVh3RdyeicAb9uUwr0eAT9AKrGgFVrQCN+gFVrTi3vr1zm2YkRZmK1c6t2HG28JMohXYBbUVbs9E4K3etdrrEeATtAIrWoEVrcANeoEVrdj9+9/SmWdGfm3tWun002M7T6zRCqyC2gpLMwRe3bJ1vR4BPkErsKIVWNEK3KAXWNHK8f34o3TuuZFf27jx6LdoxhtagVVQW+GZZgi8Hft2qFzxcl6PAR+gFVjRCqxoBW7QC6xo5eiWLTv6Q/y3bpUqVozpOJ6jFVjFWys80wwwumX6LV6PAJ+gFVjRCqxoBW7QC6xoJa9Fi5xnlkVamP3nP84zy4K2MJNoBXZBbYWlGQAAAAAgLs2f7yzL/vznvK/99puzLCsXPxfPAMhnLM0QeD0u6OH1CPAJWoEVrcCKVuAGvcCKVqTPP3eWZZddlve19HRnWVa6dMzHKnBoBVZBbYWlGQIvKSHJ6xHgE7QCK1qBFa3ADXqBVZBbmTnTWZZdeWXe1/budZZlJUvGfq6CKsitwJ2gtsLSDIE3dslYr0eAT9AKrGgFVrQCN+gFVkFsJTXVWZZdc03e1/bvd5ZlxYvHfq6CLoit4MQEtRWWZgAAAAAAX3r3XWdZdv31eV87cMBZlhUtGvu5AMSHUDgcDns9RDRZ30YUwbVl9xZVLlnZ6zHgA7QCK1qBFa3ADXqBVRBaee016f/+L/JrmZlSoUKxncevgtAK8ke8tWLdFXGlGQJv9KLRXo8An6AVWNEKrGgFbtALrOK5lZdfdq4si7Qwy8pyrixjYWYXz60gfwW1FZZmCLwV21d4PQJ8glZgRSuwohW4QS+wisdWnnvOWZb17Zv3texsZ1mWwH/duhaPrSA6gtoKpxUEXo3kGl6PAJ+gFVjRCqxoBW7QC6ziqZXHHnOWZffdl/e1Q8uyUCj2c8WLeGoF0RXUVnimGQJvd8ZulSzC+07j+GgFVrQCK1qBG/QCq3hoZdAg6Zln8h5PSHBuw0T+iIdWEBvx1grPNAOMbky90esR4BO0AitagRWtwA16gZWfW7nrLufKsdwLs1KlnKvKWJjlLz+3gtgKaisszQAAAAAAnrr1VmdZ9tJLOY9Xreosy9LSvJkLQLDxviIIvK71uno9AnyCVmBFK7CiFbhBL7DyUytdukgTJ+Y9ftZZ0k8/xX6eoPFTK/BWUFthaYbAK1u8rNcjwCdoBVa0AitagRv0Ais/tHLNNdLMmXmPX3SR9M03sZ8nqPzQCgqGoLbC7ZkIvNGLRns9AnyCVmBFK7CiFbhBL7AqyK00a+bchpl7YdasmXMbJguz2CrIraBgCWorXGkGAAAAAIiqiy+WFi/Oe/yaa6QPP4z9PABgEQqHw2Gvh4gm69uIIrh++f0X1Sxd0+sx4AO0AitagRWtwA16gVVBauWss6SVK/Me79Qp8rPMEFsFqRUUbPHWinVXxO2ZCLy3lr/l9QjwCVqBFa3AilbgBr3AqiC0UqWKcxtm7oXZLbc4t2GyMCsYCkIr8IegtsLtmQi8xVsiXCcOREArsKIVWNEK3KAXWHnZSnKylJ6e93jfvtJLL8V+Hhwb5xVYBbUVlmYIvEolKnk9AnyCVmBFK7CiFbhBL7CKdSvhsJRwlHuY7r9fevrpmI4DFzivwCqorfBMMwReZlamkhKTvB4DPkArsKIVWNEK3KAXWMWqlWMty4YOlR55JB+/WVaWNH++tHWrVKmS1KSJlJiYj98gmDivwCreWuGZZoDR9ZOu93oE+AStwIpWYEUrcINeYBXtVsJh53llkRZmzz7rvJ6vC7PUVKlmTalZM+mGG5x/1qzpHMdJ4bwCq6C24unS7Msvv9S1116rypUrKxQKadq0aYdfy8zM1P3336/zzjtPp5xyiipXrqybb75ZW7Zs8W5gAAAAAAio7OyjL8tGj3aWZffem8/fNDVV6tBB2rQp5/HNm53jLM4ARJGnS7O9e/eqfv36Gj16dJ7X9u3bpyVLlujhhx/WkiVLlJqaqlWrVqlt27YeTIp4dt1Z13k9AnyCVmBFK7CiFbhBL7DK71YOHnSWZZHuhnztNWdZdscd+fotHVlZUr9+zjfI7dCx/v2dz8MJ4bwCq6C24ukbAbRq1UqtWrWK+FpycrI+/fTTHMdeeuklNWzYUBs2bFD16tUj/r6MjAxlZGQc/jg90lu3AEeoVaaW1yPAJ2gFVrQCK1qBG/QCq/xqJTNTKlw48mvjxzt3SkbV/Pl5rzA7UjgsbdzofF7TplEeJj5xXoFVUFvx1btnpqWlKRQKqXTp0kf9nKeeekpDhw7Nc7zz5M5KKp6k8Snj9eDnD2p92nrVK19PfRv21e0zbpck9bqwlzKzMzVu2ThJ0uvtXtczXz2jlTtXqnaZ2nrosofUY1oPSVK387upeFJxjfl2jCTplTavaMziMVr+63JVK1VNz7Z8Vl2mdJEkdTq3kyqVqKRR/xolSXrhqhc0YcUELdq8SOVPKa8x14zRdROdrW27uu1Ut1xdDV8wXJL09JVPa+aqmZq/Yb5KFSmld1LeUcrEFB3MPqiral2lhlUa6vEvH5ckDWk6RAs2LNCnaz9VkUJFNLnjZN3w/g3ac2CPLq9xuVrWaqnBXwyWJA1qPEgrtq/QjFUzJEkfdP1APaf31M59O3VJ1UvU4ZwOumf2PZKkAZcM0Ia0DZry4xRJ0qSOk3T3x3dr8+7NalCxgW698Fb1ndVXktTn4j5K+yNN478fL0l6+7q39ejcR7X2t7U6u9zZGnDJAPX6sJck6ZYGtzh/zktflySNvXasRiwcoZ92/KQzTj1DQ5sOVbep3SRJN553o5KLJuuVb16RJI1uPVqvLXlNS7ctVZWSVfTC1S+o0+ROkqQO53RQ9eTqGrFwhCTp+ZbPa8qPU7Rw00KVLV5Wb7R7Q20nOFcsXnPmNXpr+VsqU6yMJOmJ5k9o9prZmrd+nkoULqF3r39XHSd3VMbBDLU4o4UaVW+kIXOHSJIevuxhLdq8SJ+s+USFEgoptXOqbkq9SekZ6WpSvYnanNlGgz4bJEka2GigVu5Yqekrp0uSpnaeqt4zemv73u1qWKWhutbrqrs/uVuS1O/P/bR1z1ZN+mGSJOm9Du/pvtn3aWP6RtWvUF+9L+qtPjP7SJJ6/6m39mXu09vfvS1JGtd+nIZ9OUyrd61W3bJ1dX/j+3XLdOfPuccFPZSUkKSxS8ZKkl695lWNXjRaK7avUI3kGnryiid1Y+qNkqSu9bqqbPGyGr3IuQr0xVYv6q3lb2nxlsWqVKKSRrceffie9uvOuk61ytTSc18/J0ka3mK4pv88XQs2LtCpxU7Vm+3fVPv32is7nK3WdVqrQcUGemL+E5Kkx5o9prm/zNUX675QsaRimthhojpP6az9mfvV/PTmalqzqR6Z4zwQY3CTwVq6balm/XuWEkIJmtZlmrpP667f9v+mRtUaqd1Z7TTw04GSpHsvvVdrdq3R1J+nSpLe7/S++s7qq617tuqiyhfp5vo3666P7pIk9W3YVzv37dSEFRMk6ZjniG17tmlQ40GcIwJ2jqhXvp6e/sp52y/rOWLR5kX6sOuHnCMCdo44kZ8jbv3gVjWs0pBzRMDOEdKJ/Rwx+IvBalilIeeIAJ0jTvTniNs+vE1nlj3zhM8RGX+ENKvH+4rkT/2f0umXLtENsThH7EjSrclS39bO9+7zjZRWRBp/vvPx26nSo82ktYvv0dmZVwb+HHEiP0cczD6oiSsmco4I2DniRH6OWLJ1iTYN2BQ3P0d0qeP8+RxPgXn3zFAopKlTp6p9+/YRX//jjz/UuHFjnXXWWXrnnXeO+nUiXWlWrVo13j0TR9V2Qlt90PUDr8eAD9AKrGgFVrQCN+gFVifayr590imnRH5t5kypdeuTHMytuXOdh/4fz5w5XGl2gjivwCreWrG+e6YvlmaZmZnq2LGjNmzYoLlz57pafln/IBBcP+/4WWeVO8vrMeADtAIrWoEVrcANeoGV21Z275aO9p9Kn34qXXllPg3mVlaW8y6ZmzdHfq5ZKCRVrSqtWxf5gWs4Ls4rsIq3Vqy7Ik/fCMAiMzNTnTp10rp16/Tpp5+y+EK+m/7zdK9HgE/QCqxoBVa0AjfoBVbWVn7/3dk7RfpPrPnznT2VZwszyVmEjXJuKVMolPO1Qx+PHMnC7CRwXoFVUFsp0EuzQwuzf//73/rss89UtmxZr0dCHFqwcYHXI8AnaAVWtAIrWoEb9AKr47WyY4ezczr11Lyv/etfzrKsceMoDedWSoo0ZYpUpUrO41WrOsdTUryZK05wXoFVUFvx9I0A9uzZo9WrVx/+eN26dVq2bJnKlCmjypUrq0OHDlqyZIlmzJihrKwsbdu2TZJUpkwZFT7a27gALp1aLMJPC0AEtAIrWoEVrcANeoHV0VrZtk2qVCny71m2TKpfP3oznZSUFKldO+fyt61bnf8RTZpwhVk+4LwCq6C24ukzzebOnatmER7s2L17dw0ZMkSnn356xN83Z84cNTU+6JFnmgEAAAAIsk2bpGrVIr/2ww/SOefEdh4A8JovnmnWtGlThcPhPL/GjRunmjVrRnwtHA6bF2aARfv32ns9AnyCVmBFK7CiFbhBL7A61Mq6dc5tmJEWZv/+t3MbJguzYOO8AqugtuLp7ZlAQZAdzvZ6BPgErcCKVmBFK3CDXmCVvqVinufmH/LLL1KNGjEdBwUY5xVYBbUVlmYIvNZ1Wns9AnyCVmBFK7CiFbhBLzieH36Q6tWTpFfzvLZ5s1S5csxHQgHHeQVWQW2lQL97JhALDSo28HoE+AStwIpWYEUrcINecDRLlji3YToLs5x+/dW5DZOFGSLhvAKroLbC0gyB98T8J7weAT5BK7CiFVjRCtygF+T2z386y7I//Snvazt2OMuy8uVjPxf8g/MKrILaCkszAAAAAPCRefOcZdkll+R97fffpWvfbauyZWM+FgDEnVA4HA57PUQ0Wd9GFMG1bNsyXVDxAq/HgA/QCqxoBVa0AjfoBZ9+KrVsGfm13bulEiWcf6cVWNEKrOKtFeuuiCvNEHhzf5nr9QjwCVqBFa3AilbgBr0E14cfOleWRVqY7dvn3IZ5aGEm0QrsaAVWQW2FpRkC74t1X3g9AnyCVmBFK7CiFbhBL8EzebKzLGvbNu9rf/zhLMuKFcv7Gq3AilZgFdRWWJoh8IolRfhJA4iAVmBFK7CiFbhBL8HxzjvOsqxTp7yvHTjgLMuKFDn676cVWNEKrILaCs80AwAAAIACYOxY6bbbIr928KCUmBjbeQAgXvFMM8Co85TOXo8An6AVWNEKrGgFbtBL/HrxRefKskgLs6ws58oyNwszWoEVrcAqqK2wNEPg7c/c7/UI8AlagRWtwIpW4Aa9xJ+nn3aWZf365X0tO9tZliWcwH+x0QqsaAVWQW2FpRkCr/npzb0eAT5BK7CiFVjRCtygl/gxZIizLHvggbyvHVqWhUIn/vVpBVa0AqugtlLI6wEArzWt2dTrEeATtAIrWoEVrcANevG/++6Tnnsu7/FChaTMzPz7PrQCK1qBVVBb4UozBN4jcx7xegT4BK3AilZgRStwg1786447nCvHci/MypRxrirLz4WZRCuwoxVYBbUVrjQDAAAAgCjo3l166628x2vUkH75JebjAABc4kozBN7gJoO9HgE+QSuwohVY0QrcoBf/6NjRubIs98KsXj3nyrJoL8xoBVa0AqugtsLSDIG3dNtSr0eAT9AKrGgFVrQCN+il4GvVylmWTZmS8/hf/uIsy77/PjZz0AqsaAVWQW2FpRkCb9a/Z3k9AnyCVmBFK7CiFbhBLwXXZZc5y7KPP855/IornGXZwoWxnYdWYEUrsApqKzzTDIGXEGJ3DBtagRWtwIpW4Aa9FDwXXigtjXDxRbt20rRpMR/nMFqBFa3AKqithMLhcNjrIaIpPT1dycnJSktLU6lSpbweBwAAAIDP1akjrV6d9/gNN0jjx8d+HgCAO9ZdUTBXhcARuk/r7vUI8AlagRWtwIpW4Aa9eK9iRec2zNwLs169nNswC8rCjFZgRSuwCmor3J6JwPtt/29ejwCfoBVY0QqsaAVu0It3iheX9u/Pe7xfP2nkyJiPc1y0AitagVVQW+FKMwReo2qNvB4BPkErsKIVWNEK3KCX2AqHnavKQqG8C7MHH3ReL4gLM4lWYEcrsApqK1xphsBrd1Y7r0eAT9AKrGgFVrQCN+glNsJhKeEolxY8/rj00EOxnedE0AqsaAVWQW2FK80QeAM/Hej1CPAJWoEVrcCKVuAGvURXdrZzVVmkhdmIEc4yzQ8LM4lWYEcrsApqK1xpBgAAACCwsrKkQkf5r6JXXpH++tfYzgMAKDhYmiHw7r30Xq9HgE/QCqxoBVa0AjfoJX8dPCglJUV+7Y03pB49YjpOvqIVWNEKrILaCrdnIvDW7Frj9QjwCVqBFa3AilbgBr3kjwMHnNswIy3MJkxwbsP088JMohXY0QqsgtoKSzME3tSfp3o9AnyCVmBFK7CiFbhBLyfn4EHp+uulIkXyvjZ1qrMs69Il9nNFA63AilZgFdRWuD0TAAAAQNw6cEDq0EH68MO8r330kXT11bGfCQDgD6FwOBz2eohoSk9PV3JystLS0lSqVCmvx0EBlJmVqaTEozzQAjgCrcCKVmBFK3CDXtzJyJDatpVmz8772k/PztBZF5WQmjSREhNjP1yU0QqsaAVW8daKdVfE7ZkIvL6z+no9AnyCVmBFK7CiFbhBLzb790tNm0pFi+ZcmBUrfFAbKjZUWCGddd+1UrNmUs2aUmqqV6NGDa3AilZgFdRWWJoh8Lbu2er1CPAJWoEVrcCKVuAGvRzb3r3SJZdIxYtL8+b973hysrR57Cztyyysatu+yfmbNm927t2Ms8UZrcCKVmAV1FZYmiHwLqp8kdcjwCdoBVa0AitagRv0Etnu3dKFF0olSkj//Of/jpcvL23bJv2+M0uVh/Z2nvSf26Fj/ftLWVkxmTcWaAVWtAKroLbCM80QeL/8/otqlq7p9RjwAVqBFa3AilbgBr3klJYmXXqp9OOPOY9XqyYtWSKVK/ffA3PnOrdiHs+cOc59nXGAVmBFK7CKt1Z4phlgdNdHd3k9AnyCVmBFK7CiFbhBL47ffpNq15ZKl865MKtdW9q5U9qw4YiFmSRtNd5SZP08H6AVWNEKrILaSiGvBwAAAACA49mxQ2rQQNq0Kefxc8+VFixwnl0WUaVKtm9g/TwAQGBwpRkCr2/DYL4LCNyjFVjRCqxoBW4EtZdff3WeT3baaTkXZhdeKKWnSytWHGNhJklNmkhVq0qhUOTXQyHnns4mTfJ1bi8FtRW4RyuwCmorLM0QeDv37fR6BPgErcCKVmBFK3AjaL1s2eLcglmxovSf//zv+CWXSHv2SN9+K5UsafhCiYnSqFHOv+denB36eORI5/PiRNBawYmjFVgFtRWWZgi8CSsmeD0CfIJWYEUrsKIVuBGUXjZulIoVk6pUcR72f8jll0v79klffy2dcorLL5qSIk2Z4nzRI1Wt6hxPSTnpuQuSoLSCk0crsApqKzzTDAAAAIDn1q2TatWSwuGcx1u2lD74QCpS5CS/QUqK1K6dNH++89D/SpWcWzLj6AozAED+CoXDuf/fUnyxvo0ogmt3xm6VLGK5th9BRyuwohVY0QrciNdeVq+W6tTJe/zaa52LwAoXjv1MfhevrSD/0Qqs4q0V666I2zMReA9+/qDXI8AnaAVWtAIrWoEb8dbLzz87jxTLvTC7/nrpwAHn6jIWZicm3lpB9NAKrILaCkszBN76tPVejwCfoBVY0QqsaAVuxEsvK1Y4y7Kzz855/IYbpIMHnavLkpK8mS1exEsriD5agVVQW2FphsCrV76e1yPAJ2gFVrQCK1qBG37vZflyZ1l23nk5j/fs6SzLxo/n8WL5xe+tIHZoBVZBbYVnmiHwtuzeosolK3s9BnyAVmBFK7CiFbjh114WL5Yuvjjv8dtvl15+WUrgr/HznV9bQezRCqzirRWeaQYY3T7jdq9HgE/QCqxoBVa0Ajf81ss//+lcWZZ7Ydavn5SdLf3tbyzMosVvrcA7tAKroLbC/5sCAAAAkG/mz3eWZZdckvP4wIHOsmzkSOd1AAAKOpZmCLxeF/byegT4BK3AilZgRStwo6D38sUXzjLssstyHn/4YWdZ9swzLMtipaC3goKDVmAV1FZYmiHwMrMzvR4BPkErsKIVWNEK3CiovXzyibMMu+KKnMcfe0wKh51/siyLrYLaCgoeWoFVUFthaYbAG7dsnNcjwCdoBVa0AitagRsFrZcZM5xl2NVX5zw+fLizLHv4YW/mQsFrBQUXrcAqqK0U8noAAAAAAP6Rmipdf33e4yNHOg/5BwAgXoTC4XDY6yGiyfo2ogiuHft2qFzxcl6PAR+gFVjRCqxoBW543cvEiVKXLnmP/+1v0u3BfFO1AsvrVuAftAKreGvFuivi9kwE3jNfPeP1CPAJWoEVrcCKVuCGV7289ZZzG2buhdlrrzm3YbIwK3g4t8CKVmAV1Fa4PROBt3LnSq9HgE/QCqxoBVa0Ajdi3ctrr0n/9395j7/1ltStW0xHgUucW2BFK7AKaisszRB4tcvU9noE+AStwIpWYEUrcCNWvTRsKH3zTd7j770nde4ckxFwkji3wIpWYBXUVnimGQJv1/5dKlOsjNdjwAdoBVa0AitagRvR7uWMM6R16/IeT02Vrrsuat8WUcC5BVa0Aqt4a4VnmgFGPab18HoE+AStwIpWYEUrcCNavZx2mvPMstwLs/ffd55ZxsLMfzi3wIpWYBXUVliaAQAAAAFUpIizLNuxI+fxAQOcZVlKijdzAQBQULA0Q+B1O58n2cKGVmBFK7CiFbiRH72Ew86iLBSSDhzI+drDDzuvP//8SX8beIxzC6xoBVZBbYU3AkDgFU8q7vUI8AlagRWtwIpW4MbJ9BIOSwlH+evyJ5+UHnjghL80CiDOLbCiFVgFtRWuNEPgjfl2jNcjwCdoBVa0AitagRsn0kt2tnNVWaSF2ciRzjKNhVn84dwCK1qBVVBb4UozAAAAIM5kZUmFjvKT/pgx0m23xXYeAAD8KBQOh8NeDxFN1rcRRXBtSt+kqqWqej0GfIBWYEUrsKIVuGHpJTNTKlw48mtvvSV1C+YjaQKHcwusaAVW8daKdVfE7ZkIvDGLg3mZKdyjFVjRCqxoBW4cq5eMDOc2zEgLs0mTnNswWZgFB+cWWNEKrILaCrdnIvCW/7rc6xHgE7QCK1qBFa3AjUi97N8vFT/Ks5mnT5fato3yUCiQOLfAilZgFdRWWJoh8KqVqub1CPAJWoEVrcCKVuDGkb3s2SOVLBn58z75RGrZMkZDoUDi3AIrWoFVUFvhmWYIvH2Z+wL79rlwh1ZgRSuwohW4sS9znzL3FVfp0pFfnztXuvzyWE6EgopzC6xoBVbx1grPNAOMukzp4vUI8AlagRWtwIpWYLVrl3RK4cgLs4ULnWeWsTDDIZxbYEUrsApqK9yeCQAAABRQ27dLFSpEfu3bb6ULL4ztPAAABAlLMwRep3M7eT0CfIJWYEUrsKIVHM2WLVKVKpFf+/57qV692M4Df+HcAitagVVQW+H2TARepRKVvB4BPkErsKIVWNEKclu/XgqFIi/M3vh0ocJhFmY4Ps4tsKIVWAW1FZZmCLxR/xrl9QjwCVqBFa3AilZwyOrVzrKsZs28r61Z4zyzLPU/T8V8LvgT5xZY0QqsgtoKt2cCAAAAHvnpJ+mccyK/tmGDVK1abOcBAAD/EwqHw2Gvh4gm69uIIrjW7FqjWmVqeT0GfIBWYEUrsKKV4Fq+XLrggsivbd0qVayY9zi94LiysqT587Vm/TLVqnGB1KSJlJjo9VQowDivwCreWrHuijy9PfPLL7/Utddeq8qVKysUCmnatGk5Xg+HwxoyZIgqV66sYsWKqWnTpvrhhx+8GRZxa8KKCV6PAJ+gFVjRCqxoJXi++ca5DTPSwmz7duc2zEgLM4lecBypqc79vc2aacLrd0vNmjkfp6Z6PRkKMM4rsApqK65vz8zKytK4ceP0+eefa/v27crOzs7x+hdffGH+Wnv37lX9+vXVs2dPXX/99XleHz58uEaMGKFx48bpzDPP1LBhw9SiRQutXLlSJUuWdDs6ENGizYu8HgE+QSuwohVY0UpwLFggNW4c+bVdu6RTTz3+16AXHFVqqtShg7N1lbTo0BtJbN7sHJ8yRUpJ8W4+FFicV2AV1FZcL8369euncePGqU2bNqpXr55CodAJf/NWrVqpVatWEV8Lh8MaOXKkBg8erJT/nuDffPNNVahQQe+++6569+59wt8XOFL5U8p7PQJ8glZgRSuwopX49/nn0pVXRn4tLU1y8/QQekFEWVlSv36HF2aSVH7vf/8lHHYubezfX2rXjls1kQfnFVgFtRXXzzQrV66c3nrrLbVu3Tp/BwmFNHXqVLVv316StHbtWtWqVUtLlixRgwYNDn9eu3btVLp0ab355psRv05GRoYyMjIOf5yenq5q1arxTDMcVVZ2lhIT+AECx0crsKIVWNFK/Jo1S2rTJvJre/ZIp5zi/mvSCyKaO9e5FfMIWSEpMfd/5c2ZIzVtGqup4BOcV2AVb61Yn2nm+kqzwoULq3bt2ic1nMW2bdskSRUqVMhxvEKFClq/fv1Rf99TTz2loUOH5jneeXJnJRVP0viU8Xrw8we1Pm296pWvp74N++r2GbdLknpd2EuZ2Zkat2ycJOn1dq/rma+e0cqdK1W7TG09dNlD6jGthySp2/ndVDypuMZ8O0aS9EqbVzRm8Rgt/3W5qpWqpmdbPqsuU7pIkjqd20mVSlQ6/BatL1z1giasmKBFmxep/CnlNeaaMbpu4nWSpHZ126luuboavmC4JOnpK5/WzFUzNX/DfJUqUkrvpLyjlIkpOph9UFfVukoNqzTU418+Lkka0nSIFmxYoE/XfqoihYpocsfJuuH9G7TnwB5dXuNytazVUoO/GCxJGtR4kFZsX6EZq2ZIkj7o+oF6Tu+pnft26pKql6jDOR10z+x7JEkDLhmgDWkbNOXHKZKkSR0n6e6P79bm3ZvVoGID3Xrhreo7q68kqc/FfZT2R5rGfz9ekvT2dW/r0bmPau1va3V2ubM14JIB6vVhL0nSLQ1ucf6cl74uSRp77ViNWDhCP+34SWeceoaGNh2qblO7SZJuPO9GJRdN1ivfvCJJGt16tF5b8pqWbluqKiWr6IWrX1CnyZ0kSR3O6aDqydU1YuEISdLzLZ/XlB+naOGmhSpbvKzeaPeG2k5oK0m65sxr9Nbyt1SmWBlJ0hPNn9DsNbM1b/08lShcQu9e/646Tu6ojIMZanFGCzWq3khD5g6RJD182cNatHmRPlnziQolFFJq51TdlHqT0jPS1aR6E7U5s40GfTZIkjSw0UCt3LFS01dOlyRN7TxVvWf01va929WwSkN1rddVd39ytySp35/7aeuerZr0wyRJ0nsd3tN9s+/TxvSNql+hvnpf1Ft9ZvaRJPX+U2/ty9ynt797W5I0rv04DftymFbvWq26Zevq/sb365bpzp9zjwt6KCkhSWOXjJUkvXrNqxq9aLRWbF+hGsk19OQVT+rG1BslSV3rdVXZ4mU1etFoSdKLrV7UW8vf0uIti1WpRCWNbj1a109ybqm+7qzrVKtMLT339XOSpOEthmv6z9O1YOMCnVrsVL3Z/k21f6+9ssPZal2ntRpUbKAn5j8hSXqs2WOa+8tcfbHuCxVLKqaJHSaq85TO2p+5X81Pb66mNZvqkTmPSJIGNxmspduWata/ZykhlKBpXaap+7Tu+m3/b2pUrZHandVOAz8dKEm699J7tWbXGk39eaok6f1O76vvrL7aumerLqp8kW6uf7Pu+uguSVLfhn21c9/Ow/foH+scsW3PNg1qPIhzRMDOEfXK19PTXz0tyX6OWLR5kT7s+iHniICdI07k54hbP7hVDas05BwRR+eI519bqzcHt1MkX69dqqf++ai6fnBiP0cM/mKwGlZpyDkiQOcI088R6dVU6XRp1F+czl74WGpzg3TmLueKszEfStd1kbT4HrUr1YdzhA9+jpBi998aB7MP6vTSp3OOiOdzRD79HLFk6xJtGrApbs4RXeo4fz7H4/pKs+eff15r167V6NGjT+rWzDyD5LrS7Ouvv1ajRo20ZcsWVapU6fDn9erVSxs3btTHH38c8etwpRncajuhrT7o+oHXY8AHaAVWtAIrWokfEyZIN9wQ+bWMDKlw4ZP/HvSCiCJcada2q/RB7md2c6UZIuC8Aqt4ayVqV5p99dVXmjNnjj766COde+65SkpKyvF6aj69O0vF/75t0LZt23IszbZv357n6rMjFSlSREWKFMmXGRAM7epG/ttgIDdagRWtwIpW/O+NN6Rbbon8WmamVMj1T9tHRy+IqEkTqWpV56H//70eot3PR7weCjmvN2nizXwo0DivwCqorSS4/Q2lS5fWddddp8svv1zlypVTcnJyjl/55fTTT1fFihX16aefHj524MABzZs3T5deemm+fR+gbrm6Xo8An6AVWNEKrGjFv155xdlFRFqYHTzo7C7yc2Em0QuOIjFRGuXcdqX/3glUd6dyfKyRI3kTAETEeQVWQW3F9f8rf+ONN/Ltm+/Zs0erV68+/PG6deu0bNkylSlTRtWrV1f//v315JNPqk6dOqpTp46efPJJFS9eXDcc7dp34AQMXzBcjasf5T3ggSPQCqxoBVa04j/PPy/de2/k17KypATXfyVtRy84qpQUacoU5100N23S8EZS4w1yrjAbOdJ5HYiA8wqsgtrKCf/913/+8x+tXLlSoVBIZ555pk477TTXX2Px4sVqdsT99wMGDJAkde/eXePGjdPAgQO1f/9+9enTR7/99pv+/Oc/a/bs2SpZsuSJjg0AAAC49vjj0iOPRH4tO/t/F/QAnklJkdq1k+bPlxbfI932vHNLJleYAcAJc/1GAHv37tWdd96pt956S9nZ2ZKkxMRE3XzzzXrppZdUvHjxqAx6oqwPd0Nw/fifH3XOaed4PQZ8gFZgRSuwopWC74EHpKefjvxarJdl9AIrWoEVrcAq3lqx7opcX0A+YMAAzZs3Tx9++KF+//13/f7775o+fbrmzZune+6556SGBrwwc9VMr0eAT9AKrGgFVrRScPXr5yzEci/Mihd3nlcWDsf+6jJ6gRWtwIpWYBXUVlwvzd5//3299tpratWqlUqVKqVSpUqpdevWGjt2rKZMmRKNGYGomr9hvtcjwCdoBVa0AitaKXh69XKWYS++mPN4pUrOomzvXm/mkugFdrQCK1qBVVBbcf1Ms3379qlChQp5jpcvX1779u3Ll6GAWCpVhNt2YUMrsKIVWNFKwdG1q/Tee3mP16kjrVoV+3kioRdY0QqsaAVWQW3F9TPNrrjiCpUtW1ZvvfWWihYtKknav3+/unfvrl27dumzzz6LyqAnimeaAQAA4GjatpU+/DDv8T/9SVq8OPbzAACA6IvaM81GjRqlr7/+WlWrVtUVV1yhK6+8UtWqVdPXX3+tUaNGndTQgBdSJvIW3LChFVjRCqxoxTvNmzu3YeZemF12mXMbZkFcmNELrGgFVrQCq6C24vr2zHr16unf//633nnnHf38888Kh8Pq0qWLbrzxRhUrViwaMwJRdTD7oNcjwCdoBVa0Aitaib2GDaVvvsl7vFUradas2M/jBr3AilZgRSuwCmorrpdmklSsWDH16tUrv2cBPHFVrau8HgE+QSuwohVY0UrsnHuu9OOPeY936iRNnBj7eU4EvcCKVmBFK7AKaiumpdkHH3ygVq1aKSkpSR988MExP7dt27b5MhgQKw2rNPR6BPgErcCKVmBFK9FXrZq0aVPe4z16SG+8EfNxTgq9wIpWYEUrsApqK6Y3AkhISNC2bdtUvnx5JSQc/TFooVBIWVlZ+TrgyeKNAHA8bSe01Qddj70MBiRagR2twIpWoqd0aSktLe/xvn2ll16K+Tj5gl5gRSuwohVYxVsr1l2R6Uqz7OzsiP8OAAAAFCQJCc6D/HO77z5p+PDYzwMAAPzL9btnvvXWW8rIyMhz/MCBA3rrrbfyZSggloY0HeL1CPAJWoEVrcCKVvJHOOy8E2YolHdh9uijzrF4WJjRC6xoBVa0AqugtuJ6adazZ0+lRbjWfffu3erZs2e+DAXE0oINC7weAT5BK7CiFVjRysk5tCyL9PSQZ55xXh8yJOZjRQ29wIpWYEUrsApqK66XZuFwWKFQKM/xTZs2KTk5OV+GAmLp07Wfej0CfIJWYEUrsKKVE5OdffRl2YsvOsuygQNjP1e00QusaAVWtAKroLZieqaZJDVo0EChUEihUEhXXHGFChX632/NysrSunXrdPXVV0dlSCCaihQq4vUI8AlagRWtwIpW3Dl4UEpKivza2LHS//1fbOeJNXqBFa3AilZgFdRWTO+eKUlDhw49/M977rlHJUqUOPxa4cKFVbNmTV1//fUqXLhwdCY9Qbx7JgAAgL9lZkpH+xHznXekG2+M7TwAAMDf8vXdMyXp0UcflSTVrFlTnTt3VtGiRU9+SqAAuOH9G/Tu9e96PQZ8gFZgRSuwopVjy8iQjvYj5+TJUocOsZ3Ha/QCK1qBFa3AKqitmJdmh3Tv3j0acwCe2XNgj9cjwCdoBVa0AitaiWzfPumUUyK/9uGH0jXXxHaegoJeYEUrsKIVWAW1FdPSrEyZMlq1apXKlSunU089NeIbARyya9eufBsOiIXLa1zu9QjwCVqBFa3AilZy2r1bOtodErNnSy1axHaegoZeYEUrsKIVWAW1FdPS7IUXXlDJkiUP//uxlmaA37Ss1dLrEeATtAIrWoEVrTh+/1069dTIr82bJ112WUzHKbDoBVa0AitagVVQWzG/EYBf8UYAOJ62E9rqg64feD0GfIBWYEUrsAp6Kzt2SKedFvm1f/5T+vOfYztPQRf0XmBHK7CiFVjFWyvWXVGC2y+8ZMkSff/994c/nj59utq3b68HH3xQBw4cOLFpAQAAEBi//iqFQpEXZkuWSOEwCzMAAOA910uz3r17a9WqVZKktWvXqnPnzipevLgmT56sgQMH5vuAQLQNajzI6xHgE7QCK1qBVdBa2bTJWZZVrJj3tRUrnGVZgwaxn8svgtYLThytwIpWYBXUVlwvzVatWqULLrhAkjR58mRdfvnlevfddzVu3Di9//77+T0fEHUrtq/wegT4BK3AilZgFZRWfvnFWZZVq5b3tVWrnGXZuefGfCzfCUovOHm0AitagVVQW3G9NAuHw8rOzpYkffbZZ2rdurUkqVq1atqxY0f+TgfEwIxVM7weAT5BK7CiFVjFeyurVjnLstNPz/vaunXOsqxOndjP5Vfx3gvyD63AilZgFdRWXC/NLrroIg0bNkxvv/225s2bpzZt2kiS1q1bpwoVKuT7gAAAAPCXH390lmV16+Z9beNGZ1lWs2bMxwIAAHDF9btnfvfdd7rxxhu1YcMGDRgwQI8++qgk6c4779TOnTv17rvvRmXQE8W7ZwIAAMTGv/8tnXlm5Ne2bZP4+1UAAFAQRO3dM88//3x9//33SktLO7wwk6Rnn31Wb7755olNC3io5/SeXo8An6AVWNEKrOKllUNXlkVamP3nP86VZSzMTl689ILooxVY0QqsgtpKoRP9jd9++61++uknhUIhnX322brwwgvzcy4gZnbu2+n1CPAJWoEVrcDK760sXy799/2h8ti9WypRIqbjxD2/94LYoRVY0QqsgtqK66XZ9u3b1blzZ82bN0+lS5dWOBxWWlqamjVrpvfee0+nnXZaNOYEouaSqpd4PQJ8glZgRSuw8msrixdLF18c+bW9e6XixWM7T1D4tRfEHq3AilZgFdRWXN+eeeedd2r37t364YcftGvXLv32229asWKF0tPTddddd0VjRiCqOpzTwesR4BO0AitagZXfWvn6a+c2zEgLsz/+cG7DZGEWPX7rBd6hFVjRCqyC2orrpdnHH3+sv/3tbzr77LMPHzvnnHP08ssv66OPPsrX4YBYuGf2PV6PAJ+gFVjRCqz80sq8ec6yrFGjnMeTkqSMDGdZVqSIN7MFiV96gfdoBVa0AqugtuJ6aZadna2kpKQ8x5OSkpSdnZ0vQwEAAMB7n37qLMuaNs15vFQpKTNTOnBAKlzYk9EAAACizvXSrHnz5urXr5+2bNly+NjmzZt1991364orrsjX4YBYGHDJAK9HgE/QCqxoBVYFtZWZM51lWcuWOY9XqiQdPCilpUmFTvjtpHCiCmovKHhoBVa0guPKypLmztWAffWluXOdjwPE9dJs9OjR2r17t2rWrKlatWqpdu3aOv3007V792699NJL0ZgRiKoNaRu8HgE+QSuwohVYFbRWUlOdZdk11+Q8fsYZzs/IW7ZIiYnezIaC1wsKLlqBFa3gmFJTpZo1pWbNtOGlYVKzZs7HqaleTxYzrpdm1apV05IlSzRr1iz1799fd911l2bNmqVvv/1WVatWjcaMQFRN+XGK1yPAJ2gFVrQCq4LSynvvOcuy66/Pefy886TsbGnNGinB9U+NyG8FpRcUfLQCK1rBUaWmSh06SJs2SZKmnPPf45s3O8cDsjhzdWH95MmTNW3aNGVmZurKK6/UnXfeGa25AAAAEGXjxkk9e+Y9/uc/SwsXOos0AAAQMFlZUr9+zjv95BYOOz8g9O8vtWsX95egh8LhSH8Kef3973/X7bffrjp16qho0aJasWKFBg4cqKeeeiraM56U9PR0JScnKy0tTaVKlfJ6HBRAfxz8Q0ULFfV6DPgArcCKVmDlVStjxki33573ePPm0uefx3wcGHFugRWtwIpWENHcuc6tmEf4o5BU9GCuz5szJ++7BfmEdVdkvtD+pZde0uDBg7Vy5UotX75cr732mkaPHp0vwwJeuvvju70eAT5BK7CiFVjFupVRo5y/HM69MGvd2vmLYxZmBRvnFljRCqxoBRFt3Zrn0N1X2T4v3piXZmvXrlXPI67f79atmzIyMrRt27aoDAbEyubdm70eAT5BK7CiFVjFqpVnnvnfnRRH6tjRWZbNnBmTMXCSOLfAilZgRSuIqFKlPIc2R7oYK8LnxRvz0mz//v0qUaLE4Y8TExNVpEgR7du3LyqDAbHSoGIDr0eAT9AKrGgFVtFuZcgQZ1k2aFDO4zff7CzLJk2K6rdHPuPcAitagRWtIKImTaSqVXM83LTBkReVhUJStWrO58U5V28E8I9//CPH4uzgwYMaN26cypUrd/jYXXfdlX/TATFw64W3ej0CfIJWYEUrsIpWK4MGOVeX5Xb77dLf/haVb4kY4NwCK1qBFa0gosRE55kOHTo4C7JwWLcu/e9rhxZpI0fG/ZsASC7eCKBmzZoKHectlEKhkNauXZsvg+UX3ggAx9N2Qlt90PUDr8eAD9AKrGgFVvndSv/+zs+4ud19tzRiRL59G3iEcwusaAVWtIJjSk113kVz0ya17Sp9MEHOFWYjR0opKV5Pd1KsuyLzlWa//PJLfswFAACAfHbbbdLYsXmPP/CA9OSTsZ8HAADEgZQUqV07af58afE90m3PO7dkBuAKs0Nc3Z4JxKM+F/fxegT4BK3AilZgdbKtdOsmvfNO3uOPPSY9/PBJfWkUQJxbYEUrsKIVHFdiotS0qfpUfUKq3dTraWKOpRkCL+2PNK9HgE/QCqxoBVYn2sr11zt3TOQ2fLh0330nORQKLM4tsKIVWNEKrILaivndM4F4Nf778V6PAJ+gFVjRCqzcttKqlfP83dwLs5dect4Nk4VZfOPcAitagRWtwCqorXClGQAAQAEWDkuXX+48TiS3v/9d6tUr9jMBAAAEgfndM/2Kd8/E8aT9kabkoslejwEfoBVY0QqsjtVKOCxdfLH07bd5X3vzTenmm6M8HAoczi2wohVY0Qqs4q0V667ohG7PzM7O1qpVq/TVV1/pyy+/zPEL8JtH5z7q9QjwCVqBFa3AKlIr4bB09tlSQkLehdl77zmvszALJs4tsKIVWNEKrILaiuvbM//5z3/qhhtu0Pr165X7IrVQKKSsrKx8Gw6IhbW/rfV6BPgErcCKVmB1ZCvZ2dLpp0sbNuT9vKlTpfbtYzcXCibOLbCiFVjRCqyC2orrpdntt9+uiy66SDNnzlSlSpUUCoWiMRcQM2eXO9vrEeATtAIrWoHV2eXOVlaWVKGCtHNn3tdnzXIe/g9InFtgRyuwohVYBbUV1880O+WUU7R8+XLVrl07WjPlK55phuP5dc+vqlCigtdjwAdoBVa0AovsbKlEybD278v7F5CffSZdcYUHQ6FA49wCK1qBFa3AKt5aidozzf785z9r9erVJzUcUJD0+pC3HYMNrcCKVnAs2dnS5MlSYqLyLMy+/NJ5ZhkLM0TCuQVWtAIrWoFVUFsx3Z753XffHf73O++8U/fcc4+2bdum8847T0lJSTk+9/zzz8/fCQEAAOJAVpY0aZI0bJj04485X1u4UPrLX7yZCwAAAJGZlmYXXHCBQqFQjgf/33LLLYf//dBrvBEA/OiWBrcc/5MA0QrsaAVHOnjQedfLYcOklSudY8nJUv/+Uu1WM3XTn9t4Oh/8g3MLrGgFVrQCq6C2YlqarVu3LtpzAAAAxJXMTGn8eOmJJ6RDT7Y49VRpwADpzjudxdm0nzO9HRIAAABHZXqmWY0aNcy/AL95fenrXo8An6AVWNFKsB04IL32mnTWWVLPns7CrGxZ6cknpV9+kR56yFmYSbQCd+gFVrQCK1qBVVBbcf1GAG+++aZmzpx5+OOBAweqdOnSuvTSS7V+/fp8HQ4AAMAvMjKkMWOkM8+U/u//pLVrpdNOk555xlmWPfCAxBt5AwAA+EcofOSDygzq1q2rv/3tb2revLkWLlyoK664QiNHjtSMGTNUqFAhpaamRmvWE2J9G1EEV7y9dS6ih1ZgRSvB8scf0uuvS08/LW3c6ByrUEEaOFDq3Vs65ZSj/15agRv0AitagRWtwCreWrHuilxfabZx40bVrl1bkjRt2jR16NBBt912m5566inNnz//xCcGPDJi4QivR4BP0AqsaCUY9u+XXnxRqlVLuuMOZ2FWqZI0cqS0bp3z7LJjLcwkWoE79AIrWoEVrcAqqK24XpqVKFFCO3fulCTNnj1bV155pSSpaNGi2r9/f/5OB8TATzt+8noE+AStwIpW4tu+fdILL0hnnCH16ydt2SJVrSqNHu3cktmvn1SsmO1r0QrcoBdY0QqsaAVWQW3F9O6ZR2rRooX+7//+Tw0aNNCqVavUpo3zNuk//PCDatasmd/zAVF3xqlneD0CfIJWYEUr8WnPHulvf5Oee07avt05Vr2686yynj2lIkXcf01agRv0AitagRWtwCqorbh+ptnvv/+uhx56SBs3btRf//pXXX311ZKkRx99VIULF9bgwYOjMuiJ4plmOJ60P9KUXDTZ6zHgA7QCK1qJL7t3Sy+/LD3/vLRjh3OsZk1p8GDp5pulwoVP/GvTCtygF1jRCqxoBVbx1krUnmlWunRpjR49WtOnTz+8MJOkoUOHFriFGWDRbWo3r0eAT9AKrGglPqSlSU884SzIHnjAWZjVquU89H/VKucdMk9mYSbRCtyhF1jRCqxoBVZBbcV0e+Z3332nevXqKSEhQd99990xP/f888/Pl8EAAAC88Pvv0qhRzgP9f//dOXbmmdJDD0ldu0qFXD/cAgAAAH5k+rHvggsu0LZt21S+fHldcMEFCoVCOvKuzkMfh0IhZWVlRW1YIBpuPO9Gr0eAT9AKrGjFn3btchZlo0ZJ6enOsbPOkh5+WOrcWUpMzP/vSStwg15gRSuwohVYBbUV09Js3bp1Ou200w7/OxBP4um+bEQXrcCKVvxlxw5pxAjppZech/1L0rnnSo88Il1/fXSWZYfQCtygF1jRCqxoBVZBbcX0TLMaNWooFAod/vdj/QL85pVvXvF6BPgErcCKVvxh+3bp/vudZ5Y99ZSzMDv/fGnKFOm776ROnaK7MJNoBe7QC6xoBVa0AqugtnJCT+VYtWqV5s6dq+3btys7OzvHa4888ki+DAYAABAN27ZJzz4r/e1v0v79zrEGDZwry9q2lRJcv00SAAAA4lEofOTDyQzGjh2rv/71rypXrpwqVqx4+Ao0yXm22ZIlS/J9yJNhfRtRBNeGtA2qnlzd6zHgA7QCK1opmLZskYYPl8aMkf74wzl20UXSo49KbdpIR/xIEzO0AjfoBVa0AitagVW8tWLdFbn+u9Rhw4bpiSee0LZt27Rs2TItXbr08K+CtjADLF5b8prXI8AnaAVWtFKwbNok3XmndMYZzkP+//hD+vOfpVmzpEWLpGuu8WZhJtEK3KEXWNEKrGgFVkFtxfXtmb/99ps6duwYjVkATyzdttTrEeATtAIrWikYNmxwnlX2+uvSgQPOsUaNnCvLrrzSu0XZkWgFbtALrGgFVrQCq6C24vpKs44dO2r27NnRmAXwRJWSVbweAT5BK7CiFW+tWyfddptUu7b06qvOwuzyy6XPP5fmz5datCgYCzOJVuAOvcCKVmBFK7AKaiuun2n21FNPacSIEWrTpo3OO+88JSUl5Xj9rrvuytcBTxbPNMPx/HHwDxUtVNTrMeADtAIrWvHGmjXSk09Kb70lHTzoHGve3HnA/+WXezvb0dAK3KAXWNEKrGgFVvHWStSeafb3v/9dJUqU0Lx58zR69Gi98MILh3+NHDnyZGYGPNFpcievR4BP0AqsaCW2Vq2SuneX6tZ1bsU8eFBq2dK5quzzzwvuwkyiFbhDL7CiFVjRCqyC2orrZ5qtW7cuGnMAAAC48tNP0hNPSBMmSNnZzrFWrZwry/7yF29nQ5zLynK2slu3SpUqSU2aSImJXk8FAADymeulGRBvOpzTwesR4BO0Aitaia4VK6Rhw6RJk6RDD5m45hpnWXbxxd7O5hat+FBqqtSvn/O2rIdUreq8NWtKSlS/Nb3AilZgRSuwCmorpqXZgAED9Pjjj+uUU07RgAEDjvm5I0aMyJfBJOngwYMaMmSIxo8fr23btqlSpUrq0aOHHnroISUkuL6zFIioenJ1r0eAT9AKrGglOr77Tnr8cWnKlP8da99eevhh6cILPRvrpNCKz6SmSh06/G9be8jmzc7xKVOiujijF1jRCqxoBVZBbcW0eVq6dKkyMzMP//vRfi1btixfh3vmmWf06quvavTo0frpp580fPhwPfvss3rppZfy9fsg2EYszL9FL+IbrcCKVvLX0qXSdddJ9ev/b2F2/fXO8alT/bswk2jFV7KynCvMIr2H1qFj/fs7nxcl9AIrWoEVrcAqqK2YrjSbM2eO1q5dq+TkZM2ZMyfaMx22cOFCtWvXTm3atJEk1axZUxMmTNDixYuP+nsyMjKUkZFx+OP09PSozwkAAPLfN984V5Z9+KHzcSgkdeokPfSQVK+et7MhgObPz3lLZm7hsLRxo/N5TZvGbCwAABA95mea1alTR1u3blX58uUlSZ07d9aLL76oChUqRG24xo0b69VXX9WqVat05plnavny5frqq6+O+S6dTz31lIYOHZrneOfJnZVUPEnjU8brwc8f1Pq09apXvp76Nuyr22fcLknqdWEvZWZnatyycZKk19u9rme+ekYrd65U7TK19dBlD6nHtB6SpG7nd1PxpOIa8+0YSdIrbV7RmMVjtPzX5apWqpqebfmsukzpIknqdG4nVSpRSaP+NUqS9MJVL2jCiglatHmRyp9SXmOuGaPrJl4nSWpXt53qlqur4QuGS5KevvJpzVw1U/M3zFepIqX0Tso7SpmYooPZB3VVravUsEpDPf7l45KkIU2HaMGGBfp07acqUqiIJnecrBvev0F7DuzR5TUuV8taLTX4i8GSpEGNB2nF9hWasWqGJOmDrh+o5/Se2rlvpy6peok6nNNB98y+R5I04JIB2pC2QVN+dP56f1LHSbr747u1efdmNajYQLdeeKv6zuorSepzcR+l/ZGm8d+PlyS9fd3benTuo1r721qdXe5sDbhkgHp92EuSdEuDW5w/56WvS5LGXjtWIxaO0E87ftIZp56hoU2HqtvUbpKkG8+7UclFk/XKN69Ikka3Hq3XlrympduWqkrJKnrh6hcOv5tHh3M6qHpy9cOb8OdbPq8pP07Rwk0LVbZ4Wb3R7g21ndBWknTNmdfoxvNuPPzxE82f0Ow1szVv/TyVKFxC717/rjpO7qiMgxlqcUYLNareSEPmDpEkPXzZw1q0eZE+WfOJCiUUUmrnVN2UepPSM9LVpHoTtTmzjQZ9NkiSNLDRQK3csVLTV06XJE3tPFW9Z/TW9r3b1bBKQ3Wt11V3f3K3JKnfn/tp656tmvTDJEnSex3e032z79PG9I2qX6G+el/UW31m9pEk9f5Tb+3L3Ke3v3tbkjSu/TgN+3KYVu9arbpl6+r+xvfrlunOn3OPC3ooKSFJY5eMlSS9es2rGr1otFZsX6EayTX05BVP6sbUGyVJXet1VdniZTV60WhJ0outXtRby9/S4i2LValEJY1uPVrXT7peknTdWdepVplaeu7r5yRJw1sM1/Sfp2vBxgU6tdiperP9m2r/Xntlh7PVuk5rNajYQE/Mf0KS9FizxzT3l7n6Yt0XKpZUTBM7TFTnKZ21P3O/mp/eXE1rNtUjcx6RJA1uMlhLty3VrH/PUkIoQdO6TFP3ad312/7f1KhaI7U7q50GfjpQknTvpfdqza41mvrzVEnS+53eV99ZfbV1z1ZdVPki3Vz/Zt310V2SpL4N+2rnvp2asGKCJB3zHNGmThul/pTKOSJg54h65evp6a+elmQ/R+w9sFffbP6Gc8QJniPufX2KVqV21vblF0mSFMpS9UYL9dGYxhr6Y2c9+P1+Nd9T8M4RJ/JzxN4De9V2QlvOEX44RyyeorLtpDemS227Omles0qqt116urHz8ROfS7N/+IfmbR0RlZ8jDvUS9HOEX3+OiOV/a9Q6tZbaTmjLOUL+/DlCit1/awxrNkx3zLyDc0TAzhEn8nNESCFJiptzRJc6zp/P8YTC4UjXmOeVkJCgbdu2HV6alSxZUsuXL9cZZ5xh+kYnIhwO68EHH9QzzzyjxMREZWVl6YknntADDzxw1N8T6UqzatWqKS0tTaVKlYrarPCvp+Y/pQeaHL0p4BBagRWtnJgFC6THHpNmz3Y+TkiQbrpJevBBqW5db2eLFlrxkblzpWbNjv95c+ZE7UozeoEVrcCKVmAVb62kp6crOTn5uLuiAv3umRMnTtQ777yjd999V+eee66WLVum/v37q3LlyurevXvE31OkSBEVKVIkxpPCzxZuWuj1CPAJWoEVrbjz5ZfS0KHSF184HycmSjff7CzLatf2drZooxUfadLEeZfMzZsjP9csFHJeb9IkaiPQC6xoBVa0AqugtmJemoVCIYVCoTzHoum+++7ToEGD1KWLc9nceeedp/Xr1+upp5466tIMcKts8bJejwCfoBVY0crxhcPOBTmPPSbNm+ccK1RI6tFDeuABKYoXshcotOIjiYnSqFHOu2SGQjkXZ4d+Jh450vm8KKEXWNEKrGgFVkFtxdXtma1atTp8FdeHH36o5s2b65RTTsnxeampqfk2XNmyZTVs2DD99a9/PXzsqaee0htvvKFVq1aZvob1kjsAABB94bD02WfOsuyrr5xjSUnSrbdKgwZJNWp4Ox9wXKmpzrtoHvmmANWqOQuzlBTPxgIAAHbWXVGC9Qt2795d5cuXV3JyspKTk3XTTTepcuXKhz8+9Cs/XXvttXriiSc0c+ZM/fLLL5o6dapGjBih6667Ll+/D4Lt0IM6geOhFVjRSl7hsPTRR9Kll0otWzoLs8KFpTvukNaskf72t2AuzGjFh1JSpF9+cS6VfPdd55/r1sVkYUYvsKIVWNEKrILaivn2zDfeeCOac0T00ksv6eGHH1afPn20fft2Va5cWb1799YjjzwS81kAAIB74bA0c6ZzZdk33zjHihaVeveW7rtPqlLF2/mAE5KYGLWH/QMAgIKjQL8RQMmSJTVy5EiNHDnS61EQx6458xqvR4BP0AqsaMVZlk2f7izLli51jhUrJv31r86yrGJFb+crKGgFbtALrGgFVrQCq6C2UqCXZkAs1Ctfz+sR4BO0Aqsgt5KdLU2dKj3+uLR8uXPslFOc2zDvuUcqX97b+QqaILcC9+gFVrQCK1qBVVBbMT/TDIhXT3/1tNcjwCdoBVZBbCUrS5o0Sapf33lzweXLpRIlnHfC/OUX6ZlnWJhFEsRWcOLoBVa0AitagVVQW+FKMwAAcMKysqSJE6Vhw6SffnKOlSrlvLlg//5SmTKejgcAAACcsFA4HA57PUQ0Wd9GFMH1/a/f67wK53k9BnyAVmAVhFYOHpQmTHCWZatWOcdKl3YWZXfdJZ16qpfT+UcQWkH+oRdY0QqsaAVW8daKdVfE7ZkIvNlrZns9AnyCVmAVz61kZkpvvCGddZZ0883OwqxMGWd59ssv0qOPsjBzI55bQf6jF1jRCqxoBVZBbYWlGQJv3vp5Xo8An6AVWMVjKwcOSP/4h1S3rnTLLdKaNVLZstJTTznLssGDpeRkr6f0n3hsBdFDL7CiFVjRCqyC2grPNEPglShcwusR4BO0Aqt4aiUjw7my7KmnpA0bnGOnnSbdd5/01786D/vHiYunVhB99AIrWoEVrcAqqK3wTDMAAJDHH39Ir70mPf20tGmTc6xiRWngQKl3b6l4cW/nAwAAAE4UzzQDjDpO7uj1CPAJWoGVn1vZv18aNUo64wypb19nYVa5snNs7Vrp7rtZmOUnP7eC2KMXWNEKrGgFVkFthdszEXgZBzO8HgE+QSuw8mMre/dKY8ZIw4dLv/7qHKtaVXrgAecZZkWLejtfvPJjK/AOvcCKVmBFK7AKaisszRB4Lc5o4fUI8AlagZWfWtmzR3rlFem556T//Mc5Vr269OCDUo8eUpEino4X9/zUCrxHL7CiFVjRCqyC2gpLMwReo+qNvB4BPkErsPJDK+np0ssvS88/L+3c6Rw7/XTnXTC7dZMKF/Z2vqDwQysoOOgFVrQCK1qBVVBb4ZlmCLwhc4d4PQJ8glZgVZBbSUuThg2TatZ0ribbuVOqXdt5h8yVK6Vbb2VhFksFuRUUPPQCK1qBFa3AKqitcKUZAAAB8NtvzsP8R450FmeSVLeu9NBDUpcuUiF+IgAAAAByCIXD4bDXQ0ST9W1EEVzfbP5GF1e52Osx4AO0AquC1MrOnc6i7MUXnVsyJenss6WHH5Y6dZISEz0dL/AKUiso+OgFVrQCK1qBVby1Yt0VcXsmAm/R5kVejwCfoBVYFYRWduxwbr+sWdO5HTM9XapXT5o0SVqxQuralYVZQVAQWoF/0AusaAVWtAKroLbC0gyB98maT7weAT5BK7DyspXt26WBA51l2VNPOe+OWb++9P770vLlUseOUgL/37/A4LwCN+gFVrQCK1qBVVBb4QkmCLxCCfyfAWxoBVZetLJtm/Tss9Lf/ibt3+8cu/BC6ZFHpLZtpVAo5iPBgPMK3KAXWNEKrGgFVkFthWeaAQDgY19+KT3+uPTVV9IffzjHLr5YevRRqXVrlmUAAABAbjzTDDC6KfUmr0eAT9AKrGLRyqRJzkLs8sulzz5zFmZ/+Yv00UfSv/4ltWnDwswPOK/ADXqBFa3AilZgFdRWgnl9HXCE9Ix0r0eAT9AKrKLZyttvSzffnPf4tGnchulHnFfgBr3AilZgRSuwCmorLM0QeE2qN/F6BPgErcAqGq2MHSvddluE79VEmjePZZlfcV6BG/QCK1qBFa3AKqitcHsmAq/NmW28HgE+QSuwys9WRo92FmK5F2YtW0rhsPNMMxZm/sV5BW7QC6xoBVa0AqugtsLSDIE36LNBXo8An6AVWOVHK8895yzD7rwz5/H27Z1l2SfBfNfvuMN5BW7QC6xoBVa0AqugtsLSDACAAuTxx51l2X335Tx+ww3OsmzqVG/mAgAAAIKGpRkCb2CjgV6PAJ+gFVidSCuDBzvLskceyXn81ludZdn48fk0HAoUzitwg15gRSuwohVYBbUVlmYIvJU7Vno9AnyCVmDlppUBA5xl2ZNP5jx+553Osuwf/8jn4VCgcF6BG/QCK1qBFa3AKqitsDRD4E1fOd3rEeATtAIrSyt//auzLHvhhZzH77vPWZa9+GKUhkOBwnkFbtALrGgFVrQCq6C2UsjrAQAACJIePaQ338x7/JFHpKFDYz4OAAAAgKMIhcPhsNdDRFN6erqSk5OVlpamUqVKeT0OCqCs7CwlJiR6PQZ8gFZgFamVzp2lSZPyfu4TT0gPPhijwVDgcF6BG/QCK1qBFa3AKt5ase6KuD0Tgdd7Rm+vR4BP0Aqsjmzl2mud2zBzL8xGjHBuw2RhFmycV+AGvcCKVmBFK7AKaivcnonA2753u9cjwCfitpWsLGn+fGnrVqlSJalJEykxfv4WyQvb925X8+bSnDl5X3v5ZalPn9jPhIIpbs8riAp6gRWtwIpWYBXUVliaIfAaVmno9QjwibhsJTVV6tdP2rTpf8eqVpVGjZJSUryby6fCYemSS6R//euDPK+99pp0yy0eDIUCLS7PK4gaeoEVrcCKVmAV1FZ4phkCb82uNapVppbXY8AH4q6V1FSpQwdn03OkUMj555QpLM6MwmHp/POlFSvyvvbOO9KNN8Z+JvhD3J1XEFX0AitagRWtwCreWuGZZoDR3Z/c7fUI8Im4aiUry7nCLNLfmxw61r+/83k4quxsqVYtKSEh78JsyhTnj5KFGY4lrs4riDp6gRWtwIpWYBXUVliaAUAQzZ+f85bM3MJhaeNG5/OQR1aW8/i3xERp7dqcr33wgXTtu211/fXezAYAAAAgf/BMMwRevz/383oE+ERctbJ1a/5+XkAcPCiVKSPt3p33tU8+kVq2dP69+No4agVRFVfnFUQdvcCKVmBFK7AKaisszRB4W/ewFIBNXLVSqVL+fl6cO3BAKl488t2qc+ZITZvmPBZXrSCqaAVu0AusaAVWtAKroLbC7ZkIvEk/TPJ6BPhEXLXSpInzLpmHHvqfWygkVavmfF6AZWQ4fxRFiuRdmH31lXMXa+6FmRRnrSCqaAVu0AusaAVWtAKroLbC0gwAgigxURo1yvn33IuzQx+PHOl8XgDt2+f8MRQtmve1RYucZVmjRrGfCwAAAEDshMLhSG+dFj+sbyOK4NqXuU/Fk4p7PQZ8IC5bSU113kXzyDcFqFbNWZilpHg2llf27JFKloz82tKl0gUX2L5OXLaCqKAVuEEvsKIVWNEKrOKtFeuuiCvNEHj3zb7P6xHgE3HZSkqK9MsvzoO53n3X+ee6dYFbmKWlOVeWRVqY/fCDc2WZdWEmxWkriApagRv0AitagRWtwCqorfBGAAi8jekbvR4BPhG3rSQmRn4wVwD89pvzbpiRrFwpnXnmiX3duG0F+Y5W4Aa9wIpWYEUrsApqKyzNEHj1K9T3egT4BK3Ejx07pNNOi/za2rXS6aef3NenFVjRCtygF1jRCqxoBVZBbYVnmiHwNqVvUtVSVb0eAz5AK/63bZtUqVLk1zZscB7nlh9oBVa0AjfoBVa0AitagVW8tcIzzQCjPjP7eD0CfIJW/GvTJueZZZEWZlu2OM8sy6+FmUQrsKMVuEEvsKIVWNEKrILaCrdnAgDi1i+/HP1Wy19/lcqXj+k4AAAAAHyEpRkCr/efens9AnyCVvxj9WqpTp3Ir+3cefSH/+cXWoEVrcANeoEVrcCKVmAV1Fa4PROBty9zn9cjwCdopeD76SfnNsxIC7Pff3duw4z2wkyiFdjRCtygF1jRCqxoBVZBbYWlGQLv7e/e9noE+AStFFzffecsy845J+9r6enOsiw5OXbz0AqsaAVu0AusaAVWtAKroLbC0gwA4Fvffussy+pHeAfsvXudZVnJkrGfCwAAAID/hcLhcNjrIaLJ+jaiCK5d+3epTLEY3K8F36OVgmPhQunSSyO/tn+/VLRobOfJjVZgRStwg15gRSuwohVYxVsr1l0RV5oh8IZ9OczrEeATtOK9efOcK8tyL8wSEqSMDOfKMq8XZhKtwI5W4Aa9wIpWYEUrsApqKyzNEHird632egT4BK1457PPnGVZ06Y5j59yipSZKWVlSYULezJaRLQCK1qBG/QCK1qBFa3AKqitsDRD4NUtW9frEeATtBJ7s2Y5y7IWLXIeL19eOnhQ2rNHKlTIm9mOhVZgRStwg15gRSuwohVYBbUVnmmGwNuxb4fKFS/n9RjwAVqJnalTpZSUvMdr1pTWrHFuxyzIaAVWtAI36AVWtAIrWoFVvLXCM80Ao1um3+L1CPAJWom+995zrizLvTA75xwpO1tat67gL8wkWoEdrcANeoEVrcCKVmAV1FZ88J8eAIB49+abzrKsa9ecxy++2FmW/fCD8zoAAAAAxApLMwRejwt6eD0CfIJW8t+YMc4yrEePnMcvv9xZli1a5M9lGa3AilbgBr3AilZgRSuwCmorLM0QeEkJSV6PAJ+glfzz4ovOMuz223Mev/pqKRyW5s7157LsEFqBFa3ADXqBFa3AilZgFdRWWJoh8MYuGev1CPAJWjl5w4c7y7B+/XIeT0lxlmUffeTNXPmNVmBFK3CDXmBFK7CiFVgFtRWWZgCAqBs61FmW3X9/zuP/3969x9lU6P8ff293woSScR0ppJEIhVzSidIF406iOr46KFJJScgtlUpnTiWn6KrCuJx0isqtOFGhlEuJMEaimnHJxMz6/bF+1FzwWZqZNXuv1/Px8NCs2TPzwavV+LT22jff7C7L5szxZy4AAAAAOJmQ4ziO30PkJuvLiCK4dh/YrYqlKvo9BsIArXg3fLg0aVLW4//3f+79zCIVrcCKVuAFvcCKVmBFK7CKtFasuyKuNEPgxa+O93sEhAlasRsyxL2yLPPCbPBg98qySF6YSbQCO1qBF/QCK1qBFa3AKqitFPJ7AMBvG/Zu8HsEhAlaOb3+/aUXXsh6/P77pUcfzft5/EIrsKIVeEEvsKIVWNEKrILaCkszBF61qGp+j4AwQSsn17u39NprWY+PHi2NGpXn4/iOVmBFK/CCXmBFK7CiFVgFtRXuaYbAO5B6QKWKlvJ7DIQBWsmqc+fsb+L/6KNZb/ofJLQCK1qBF/QCK1qBFa3AKtJa4Z5mgFGvhF5+j4AwQSt/aNfOvWdZ5oXZ00+79ywL8sJMohXY0Qq8oBdY0QqsaAVWQW2Fp2cCAEwcR2rVSlq+POv7nn/evZ8ZAAAAAEQKlmYIvB6xPfweAWEiqK04jtS4sfTZZ1nfN2OG1KdPno+U7wW1FXhHK/CCXmBFK7CiFVgFtRWWZgi8ciXK+T0CwkTQWnEcKTZW+uabrO+bOVPq3j3vZwoXQWsFZ45W4AW9wIpWYEUrsApqK9zTDIEXvzre7xEQJoLSSnq6FBMjFSiQdWGWkOAu01iYnVpQWsFfRyvwgl5gRSuwohVYBbUVrjQDAEiS0tKk6Gjpp5+yvu+dd6Trr8/7mQAAAADALyHHcRy/h8hN1pcRRXBt/3W7Ys6O8XsMhIFIbSU9XWrRQvrkk6zvW7xY+tvf8n6mcBeprSDn0Qq8oBdY0QqsaAVWkdaKdVfE0zMReK+sf8XvERAmIq2V9HRp1izp0kuzLsyWLXOfhsnC7MxEWivIPbQCL+gFVrQCK1qBVVBb4emZCLzPdmfzkoBANiKllbQ0d1k2dmzWe5atXCk1aeLPXJEkz1pJS5NWrJCSktzn1jZvLhUsmDdfGzkiUs4ryBv0AitagRWtwCqoreT7K80SExN18803q1y5cipRooQuvfRSff75536PhQgSXTLa7xEQJsK9lWPHpNdeky6+WOrRw12YRUVJo0ZJP//sXlnGwixn5EkrCQnuKzZcdZXUs6f7c0yMexxhI9zPK8hb9AIrWoEVrcAqqK3k63ua/fLLL6pfv76uuuoq/eMf/1D58uW1detWxcTEqEaNGqbPwT3NcDpH046qcMHCfo+BMBCurRw7Jr3+ujR+vPTtt+6xMmWkoUOlO+90F2fIWbneSkKC1Lmzu+n8s1DI/Xn2bCkuLve+PnJMuJ5X4A96gRWtwIpWYBVprUTEPc0mTZqkKlWqaPr06WrcuLFiYmJ09dVXmxdmgEWntzv5PQLCRLi1cvSo9OKLUq1aUt++7sKsXDlpwgRp+3bpoYdYmOWWXG0lLU0aPDjrwkz649iQIe7jkO+F23kF/qIXWNEKrGgFVkFtJV8vzRYsWKCGDRuqS5cuKl++vOrXr69p06ad8mNSU1OVkpKS4QcABMnvv0svvCBdeKH0979L338vnXuuNGmSuyx74AGJC2/D2IoV0q5dJ3+/40g7d7qPAwAAAHDG8vULAXz//fd67rnnNHToUD344INavXq17rrrLhUtWlS33HJLth8zceJEjRkzJsvxbrO6qXCJwno97nU9+OGD+iH5B8WWj9WgxoN0xzt3SJL6Neino+lHNWPdDEnSS+1f0qSPJ2nz/s26oOwFeqjFQ+o7r68kqfclvVWicAlN/XyqJOnZ65/V1M+mav2P61WldBU93uZxdZ/dXZLU9eKuii4ZrSmfTpEkPdX2Kc3cMFOrE1er/FnlNfWGqer4VkdJUvta7VXrnFp67JPHJEmP/u1RLdyyUCt2rFDpoqX1WtxrinsrTsfSj6ltjbZqXKmxxi4fK0ka3Wq0PtnxiRZ/v1hFCxXVrC6z1HNOTx38/aBaVmupNjXaaMRHIyRJw68crg17N+idLe9Ikhb0WKBb59+q/Yf3q0nlJupcp7PuWXSPJGlok6HakbxDs7+ZLUl6u8vbuvu9u5V4IFH1K9TX7Q1u16B3B0mSBjQaoOQjyXr9q9clSa92fFWjlo7S9798r4vOuUhDmwxVv//0kyTdVv829/d57UuSpGk3TtOTq57Uxn0bdX6Z8zWm1Rj1nttbktSrbi9FFYvSs2uelSTFt4vXi1+8qLV71qpSqUp66tqn1HVWV0lS5zqdVTWqqp5c9aQkaXKbyZr9zWyt2rVK5UqU0/T203XTzJskSTfUvEF1y9c98fb41uO1aOsiLfthmUoWKak3Or2hLrO6KPVYqq45/xo1q9pMo5eOliSNbDFSqxNX6/2t76tQgUJK6JagmxNuVkpqippXba7ra16v4R8MlyQNazZMm/dt1vzN8yVJc7vNVf93+mvvob1qXKmxesT20N3v3y1JGnz5YCUdTNLbX78tSXqz85u6b9F92pmyU/XOq6f+DftrwMIBkqT+l/XX4aOH9eqXr0qSZnSYoXHLx+m7n79TrXK1dP+V9+u2+e7vc99L+6pwgcKa9oW7eH7+hucVvzpeG/ZuULWoappw9QT1SuglSeoR20PlSpRT/Op4SdIz1z2jV9a/os92f6boktGKbxd/4v80dKzdUTXK1tATK5+QJD12zWOav2m+Ptn5icoUL6OXO7ysDm92ULqTrnYXtlP9CvU1fsV4SdIjVz2ipduX6qNtH6l44eJ6q/Nb6ja7m347+ptaV2+tVjGt9PCShyVJI5qP0No9a/Xut++qQKiA5nWfpz7z+uiX335RsyrN1L52ew1bPEySdG/Te7X1562au2muJGlO1zka9O4gJR1MUsOKDXVLvVt013/vkiQNajxI+w/v18wNMyXplOeI6mdXV8LGhHx7jjirQFk13z9D9z78k37bf64kqey5R1WhzSuqdvV7+tu1D2j615wjvJ4jYsvH6tGPH5VkP0fsTN6pNYlrcucccbiuki6R3r5YkqQ3Z0v3XSPtjJLq7ZH6fy4NuF7SZ/eof8VHOEfk4TniTL6P2Jm8UzfNvInvIwJ2jpDO7PuI473wfURwzhFn+n1EoQKFdNPMmzhHKFjniDP5u0a7C9pp4MKBnCMCdo44k+8jfjr0kyRFzDmi+4Xu78/p5Ot7mhUpUkQNGzbUypUrTxy76667tGbNGq1atSrbj0lNTVVqauqJt1NSUlSlShXuaYaTWv7DcrWo1sLvMRAG8msrv/0m/fvf7pVkiYnuseho6f77pf/7P6l4cX/nC6JcbWXpUvem/6ezZInUqlXuzIAck1/PK8if6AVWtAIrWoFVpLUSEfc0i46OVp06dTIcu+iii7Rjx46TfkzRokVVunTpDD+AUzn+fy2A08lvrRw+LD31lHT++dJdd7kLs8qVpfh49ymZgwezMPNLrrbSvLn7B338pv+ZhUJSlSru45Dv5bfzCvI3eoEVrcCKVmAV1Fby9dKsWbNm2rx5c4ZjW7ZsUbVq1XyaCAD8d+iQ9MQTUvXq7itg7tkjVa0qPfec9N130sCBUrFifk+JXFOwoDTFvbw+y+Ls+NtPP+0+DgAAAMAZy9dPz1yzZo2aNm2qMWPGqGvXrlq9erX69eunF154Qb169TJ9DusldwiuTfs2qfY5tf0eA2HA71YOHJD+9S9p8mRp3z73WEyMNGKEdMstUpEivo2GTPKklYQE93LCP78oQJUq7sIsLi53vzZyjN/nFYQXeoEVrcCKVmAVaa1ExNMzGzVqpLlz52rmzJmKjY3V2LFj9fTTT5sXZoDF/E3z/R4BYcKvVpKTpfHj3QXZAw+4C7MaNaSXXpK2bHFfIZOFWf6SJ63Exbkvh7pkifTGG+7P27axMAsz/DcIXtALrGgFVrQCq6C2kq9fPVOSbrjhBt1www1+j4EI9snOT/weAWEir1v59VfpmWfc+5b9+qt7rGZN6aGHpB49pEL5/gweXHnWSsGC3Ow/zPHfIHhBL7CiFVjRCqyC2gp/5ULglSlexu8RECbyqpWff3afYTdlipSS4h6rXVsaOVLq1o1bVYUDziuwohV4QS+wohVY0QqsgtpKvr6nWU7gnmYAwsW+fe5VZf/8p3v/Mkm6+GLp4YelTp1YlgEAAABAToiIe5oBeaHDmx38HgFhIrda2btXuv9+955lEya4C7NLLpFmz5a+/FLq2pWFWbjhvAIrWoEX9AIrWoEVrcAqqK3w9EwEXrqT7vcICBM53cqePdITT0jPPScdPuweq1/fvbLsppukAvxvjbDFeQVWtAIv6AVWtAIrWoFVUFthaYbAa3dhO79HQJjIqVZ275Yee0yaOlU6csQ91rChNGqUdP31UiiUI18GPuK8AitagRf0AitagRWtwCqorbA0Q+DVr1Df7xEQJv5qK7t2SZMmSdOmSamp7rHLL3eXZddey7IsknBegRWtwAt6gRWtwIpWYBXUVnjyDwJv/Irxfo+AMHGmrezYIf3jH1KNGlJ8vLswa9ZMWrRIWrVKuu46FmaRhvMKrGgFXtALrGgFVrQCq6C2wpVmAJBLtm2TJk6UZsyQjh51j7Vs6d6z7KqrWJQBAAAAQH4WchzH8XuI3GR9GVEE17o963RphUv9HgNhwNrK1q3uq2C+8op07Jh7rHVrd1nWsmXuzoj8gfMKrGgFXtALrGgFVrQCq0hrxbor4umZCLyl25f6PQLCxOla2bJF6tNHqlVLeukld2HWpo20YoX04YcszIKE8wqsaAVe0AusaAVWtAKroLbC0gyB99G2j/weAWHiZK1s3CjdfLN00UXu1WVpae59ylatkt5/X7ryyjweFL7jvAIrWoEX9AIrWoEVrcAqqK1wTzMEXvHCxf0eAWEicysbNkjjxklvvy0df6L7jTdKI0dKjRr5MCDyDc4rsKIVeEEvsKIVWNEKrILaCvc0AwCPvvxSGjtWmj37j2MdOrjLsgYNfBsLAAAAAGDAPc0Ao26zu/k9AsJEm8fvV8eOUr16fyzMOneW1q2T5s5lYYY/cF6BFa3AC3qBFa3AilZgFdRWeHomAu+3o7/5PQLyudtvd2/sL02SJIVCUteu0kMPSbGxvo6GfIrzCqxoBV7QC6xoBVa0AqugtsLSDIHXunprv0dAPtWzpzRzZsZjF10kzZnj/gycDOcVWNEKvKAXWNEKrGgFVkFthadnIvBaxbTyewTkMx06uFeTZV6Y3T0qUd98w8IMp8d5BVa0Ai/oBVa0AitagVVQW2FphsB7eMnDfo+AfKJNG3dZNn9+xuPx8e6rY35X6x/+DIaww3kFVrQCL+gFVrQCK1qBVVBb4emZAALNcaTmzaVPPsn6vn//272fGQAAAAAgeFiaIfBGNB/h9wjwgeNIl10mrV2b9X2vvirdfHPW47QCK1qBFa3AC3qBFa3AilZgFdRWeHomAm/tnmy2JohYjiPVqiUVKJB1Yfb22+77s1uYSbQCO1qBFa3AC3qBFa3AilZgFdRWWJoh8N799l2/R0AeSE+XqlRxl2VbtmR83/z57rKsS5dTfw5agRWtwIpW4AW9wIpWYEUrsApqKzw9E4FXIMTuOJKlpUnly0s//5z1ff/9r3TttfbPRSuwohVY0Qq8oBdY0QqsaAVWQW0l5DiO4/cQuSklJUVRUVFKTk5W6dKl/R4HQB45elQqVUpKTc36vg8/lFq3zvuZAAAAAAD+s+6KgrkqBP6kz7w+fo+AHJSaKoVCUpEiWRdmK1a4T8M804UZrcCKVmBFK/CCXmBFK7CiFVgFtRWenonA++W3X/weATngyBGpePHs3/e//0mXX/7XvwatwIpWYEUr8IJeYEUrsKIVWAW1FZZmCLxmVZr5PQL+gkOHpJIls3/fF19I9evn3NeiFVjRCqxoBV7QC6xoBVa0AqugtsLSDIHXvnZ7v0fAGThwQDrZU8+/+kqKjc35r0krsKIVWNEKvKAXWNEKrGgFVkFthXuaIfCGLR7m9wjw4Ndf3XuWZbcw27TJvWdZbizMJFqBHa3AilbgBb3AilZgRSuwCmorXGkGICzs3y+dc0727/vuO6lGjbydBwAAAAAQ2ViaIfDubXqv3yPgFPbulc47L/v3/fCDVLVq3s1CK7CiFVjRCrygF1jRCqxoBVZBbYWnZyLwtv681e8RkI3du92nYWa3MEtMdJ+GmZcLM4lWYEcrsKIVeEEvsKIVWNEKrILaCkszBN7cTXP9HgF/smOHuyyrVCnr+/bscZdlFSvm/VwSrYSttDRp6VJp5kz357S0XP+StAIrWoEX9AIrWoEVrcAqqK3w9EwA+cLWrdIFF2T/vn37pHLl8nYeRIiEBGnwYGnXrj+OVa4sTZkixcX5NxcAAACAfC/kOI7j9xC5KSUlRVFRUUpOTlbp7F5uD4F3NO2oChcs7PcYgbV5s1S7dvbv++UX6eyz83ScU6KVMJOQIHXu7F6e+GehkPvz7Nm5tjijFVjRCrygF1jRCqxoBVaR1op1V8TTMxF4g94d5PcIgbRhg7u7yG5hlpLi7jny08JMopWwkpbmXmGW3f8XOn5syJBce6omrcCKVuAFvcCKVmBFK7AKaisszRB4SQeT/B4hUNaudZdldetmfd/Bg+4+o1SpvJ/LglbCyIoVGZ+SmZnjSDt3uo/LBbQCK1qBF/QCK1qBFa3AKqitsDRD4DWs2NDvEQLh00/dZVmDBlnf99tv7g7jrLPyfi4vaCWMJBn/o259nEe0AitagRf0AitagRWtwCqorbA0Q+DdUu8Wv0eIaB9/7C7Lrrgi6/uOHHGXZcWK5f1cZ4JWwkh0dM4+ziNagRWtwAt6gRWtwIpWYBXUVliaIfDu+u9dfo8QkT76yF2WNW+e8Xjx4tLvv7vLsqJF/ZntTNFKGGne3H2VzOM3/c8sFJKqVMkaaA6hFVjRCrygF1jRCqxoBVZBbYWlGYAc9d577j7i6qszHi9XTjp2TDp8WCocOS+6gvyqYEFpyhT3nzMvzo6//fTT7uMAAAAAIBsszRB4gxoH81VActrOne4u4rrrMh6vWtV9gcJ9+8J/P0ErYSYuTpo9W6pUKePxypXd43FxufalaQVWtAIv6AVWtAIrWoFVUFsp5PcAgN/2H97v9whhbedOadIk6V//ynj8ooukr78++bPjwhGthKG4OKl9e/dVMpOS3HuYNW+e6xtcWoEVrcALeoEVrcCKVmAV1Fa40gyBN3PDTL9HCEs//CDdcYdUo0bGhVmrVlJ6uvTNN5G1MJNoJWwVLOiG2aOH+3MeXPJIK7CiFXhBL7CiFVjRCqyC2gpLMwCefP+91K+fdMEF0tSp0tGjUsuW7o3/09OlJUsib1kGAAAAAAiekOM4jt9D5KaUlBRFRUUpOTlZpUuX9nsc5EMHUg+oVNFSfo+R7333nTRhgvTKK+49yiT3Zv8jR7pLsyCgFVjRCqxoBV7QC6xoBVa0AqtIa8W6K+JKMwTegx8+6PcI+drmzdItt0i1aknTp7sLszZtpI8/lj74IDgLM4lWYEcrsKIVeEEvsKIVWNEKrILaCi8EgMD7IfkHv0fIl775Rho/XnrzTfdpl5LUrp17ZdkVV/g7m19oBVa0AitagRf0AitagRWtwCqorbA0Q+DFlo/1e4R85auvpHHjpFmzpONP3r7xRunhh6WGDf2dzW+0AitagRWtwAt6gRWtwIpWYBXUVrinGQJv94Hdqliqot9j+G79emnsWGnOnD+OdezoXllWv75/c+UntAIrWoEVrcALeoEVrcCKVmAVaa1wTzPA6I537vB7BF998YXUoYN06aV/LMw6d5bWrZMSEliY/VnQW4EdrcCKVuAFvcCKVmBFK7AKais8PRMIqNWr3SvL3nnHfTsUkrp1k0aMkGKDeeUtAAAAAAAnsDRD4PVr0M/vEfLUqlXSI49I773nvl2ggNSjh7ssu+gif2fL74LWCs4crcCKVuAFvcCKVmBFK7AKaisszRB4R9OP+j1Cnvj4Y3dZtnix+3bBgtLNN0sPPijVrOnvbOEiKK3gr6MVWNEKvKAXWNEKrGgFVkFthXuaIfBmrJvh9wi5atkyqXVrqXlzd2FWsKB0223Spk3SjBkszLyI9FaQc2gFVrQCL+gFVrQCK1qBVVBb4UozIAI5jrRkiTRmjLR8uXusUCHp1lulBx6Qqlf3dz4AAAAAAPK7kOM4jt9D5Cbry4giuPYd3qdzSpzj9xg5wnHcq8keeUT65BP3WOHC0u23S8OHS9Wq+TtfuIukVpC7aAVWtAIv6AVWtAIrWoFVpLVi3RXx9EwE3qSPJ/k9wl/mONJ//ys1bSq1besuzIoWlQYNkrZulZ57joVZToiEVpA3aAVWtAIv6AVWtAIrWoFVUFvh6ZkIvM37N/s9whlzHOmdd9wryz77zD1WrJjUv780bJhUsaK/80WacG4FeYtWYEUr8IJeYEUrsKIVWAW1FZZmCLwLyl7g9wiepadLCxa4y7K1a91jxYtLAwZI994rVajg73yRKhxbgT9oBVa0Ai/oBVa0AitagVVQW+GeZgi8n3/7WWWLl/V7DJP0dCkhQRo7VvryS/fYWWdJAwdK99wjlS/v73yRLpxagb9oBVa0Ai/oBVa0AitagVWktcI9zQCjvvP6+j3CaaWlSW+9JV1yidSli7swK1VKevBBaft2adIkFmZ5IRxaQf5AK7CiFXhBL7CiFVjRCqyC2gpPzwTysePLsnHjpI0b3WOlS0uDB0tDhkhlI2fRDwAAAABAvsLSDIHX+5Lefo+QxbFj0htvSOPHS1u2uMfOPlu6+27prrvcf0bey4+tIH+iFVjRCrygF1jRCqxoBVZBbYWlGQKvROESfo9wwtGj0muvucuyrVvdY2XLSkOHSoMGSVFR/s4XdPmpFeRvtAIrWoEX9AIrWoEVrcAqqK1wTzME3tTPp/o9gn7/XZo2TapZU7rtNndhds450qOPuvcsGzGChVl+kB9aQXigFVjRCrygF1jRCqxoBVZBbYUrzQAfpaZK06dLEydKO3a4x8qXl+67T7rjDqlkSX/nAwAAAAAgqEKO4zh+D5GbrC8jiuDalbJLlUtXztOveeSI9O9/u1eSJSa6xypUkIYNk/r3l0oE88rXfM+PVhCeaAVWtAIv6AVWtAIrWoFVpLVi3RXx9EwE3tTP8u4y099+k6ZMkc4/X7rzTndhVrGi9Mwz0vffuzf6Z2GWf+VlKwhvtAIrWoEX9AIrWoEVrcAqqK3w9EwE3vof1+f61zh0SHr+eenxx6Uff3SPVa4sPfCAew+zYsVyfQTkgLxoBZGBVmBFK/CCXmBFK7CiFVgFtRWWZgi8KqWr5NrnPnhQevZZ6YknpJ9+co9VqyY9+KDUp49UtGiufWnkgtxsBZGFVmBFK/CCXmBFK7CiFVgFtRXuaYbAO3z0cI6/fG5KivSvf0mTJ0v797vHqld3XwWzd2+pSJEc/XLII7nRCiITrcCKVuAFvcCKVmBFK7CKtFa4pxlg1H129xz7XL/+Ko0dK8XEuFeT7d8vXXCBNGOGtHmzdPvtLMzCWU62gshGK7CiFXhBL7CiFVjRCqyC2gpPzwRywC+/uDf4f/ppKTnZPVarlvTQQ1L37lIh/k0DAAAAACCs8Fd5BF7Xi7ue8cfu3y899ZT76pcHDrjH6tSRRo6UunSRChbMoSGRL/yVVhAstAIrWoEX9AIrWoEVrcAqqK2wNEPgRZeM9vwxP/0kPfmkFB/v3uxfkmJjpYcfljp1kgoE8YnPaWnSihVSUpIUHS01bx5xW8MzaQXBRCuwohV4QS+wohVY0QqsgtpKEP9qD2Qw5dMp5sf++KN0333uPcsefdRdmNWrJ82ZI61f715dFsiFWUKC+5ty1VVSz57uzzEx7vEI4qUVBButwIpW4AW9wIpWYEUrsApqK2H11/uJEycqFAppyJAhfo+CgElKkoYOdV8B84knpMOHpcsuk+bPl9auleLiArosk9zFWOfO0q5dGY8nJrrHI2xxBgAAAAAIhpDjOI7fQ1isWbNGXbt2VenSpXXVVVfp6aefNn2c9WVEEVxbf96qGmVrZPu+xERp0iTphRek1FT3WOPG7tMw27WTQqE8HDQ/SktzryjLvDA7LhSSKleWtm2LiKdqnqoV4M9oBVa0Ai/oBVa0AitagVWktWLdFYXFtTEHDx5Ur169NG3aNJUpU+aUj01NTVVKSkqGH8CpzNwwM8uxHTukgQOl88+X/vlPd2HWpIn03nvS//4nXX89CzNJ7j3MTrYwkyTHkXbudB8XAbJrBcgOrcCKVuAFvcCKVmBFK7AKaith8UIAAwcO1PXXX6+//e1vGjdu3CkfO3HiRI0ZMybL8W6zuqlwicJ6Pe51Pfjhg/oh+QfFlo/VoMaDdMc7d0iS+jXop6PpRzVj3QxJ0kvtX9Kkjydp8/7NuqDsBXqoxUPqO6+vJKn3Jb1VonAJTf18qiTp2euf1dTPpmr9j+tVpXQVPd7mcXWf3V2S+yoT0SWjTzwH+Km2T2nmhplanbha5c8qr6k3TFXHtzpKktrXaq9a59TSY588Jkl69G+PauGWhVqxY4VKFy2t1+JeU9xbcTqWfkxta7RV40qNNXb5WEnS6Faj9cmOT7T4+8UqWqioZnWZpZ5zeurg7wfVslpLtanRRiM+GiFJGn7lcG3Yu0HvbHlHkrSgxwLdOv9W7T+8X00qN1HnOp11z6J7JElDmwzVjuQdmv3NbEnS213e1t3v3a3EA4mqX6G+bm9wuwa9O0iSNKDRACUfSdbrX70uSXq146satXSUvv/le110zkUa2mSo+v2nnyTptvq3ub/Pa1+SJE27cZqeXPWkNu7bqPPLnK8xrcao99zekqRedXspqliUnl3zrCQpvl28XvziRa3ds1aVSlXSU9c+pa6z3Ffz6Fyns6pGVdWTq56UJE1uM1mzv5mtVbtWqVyJcprefrpumnmTJOmGmjfove/e0+rE1e78FzymMeNT9ek7deSkFZYklau9URd2fEPdbyqvc6s1U/s3R0uSRrYYqdWJq/X+1vdVqEAhJXRL0M0JNyslNUXNqzbX9TWv1/APhkuShjUbps37Nmv+5vmSpLnd5qr/O/2199BeNa7UWD1ie+ju9++WJA2+fLCSDibp7a/fliS92flN3bfoPu1M2al659VT/4b9NWDhAElS/8v66/DRw3r1y1clSTM6zNC45eP03c/fqVa5Wrr/yvt123z397nvpX1VuEBhTftimiTp+RueV/zqeG3Yu0HVoqppwtUT1CuhlySpR2wPlStRTvGr4yVJz1z3jF5Z/4o+2/2ZoktGK75dvDq93UlKTFTHS6Uav0hPNHX/XXtssTS/lvRJVanMb9LL86QOn92r9KSKandhO9WvUF/jV4yXJD1y1SNaun2pPtr2kYoXLq63Or+lbrO76bejv6l19dZqFdNKDy95WJI0ovkIrd2zVu9++64KhApoXvd56jOvj3757Rc1q9JM7Wu317DFwyRJ9za9V1t/3qq5m+ZKkuZ0naNB7w5S0sEkNazYULfUu0V3/fcuSdKgxoO0//D+E/8RONU5Ys/BPapzbh3OEQE7R8SWj9WjHz8qSRrferwWbV2kZT8sU8kiJfVGpzfUZVYXpR5L1TXnX6NmVZtp9NLRWp24Wm1rtOUcIalj7Y6qUbaGnlj5hCTpsWse0/xN8/XJzk9UpngZvdzhZXV4s4PSnfSwP0ecyfcR8avjtTpxNeeIgJ0jpDP7PuJ4L5wjgnOOONPvI1778jXOEQE8R5zJ9xHH0o9p4MKBnCMCdo44k+8jvkj6Qg+1eChizhHdL3R/f04n3z89880339T48eO1Zs0aFStWTK1atdKll1560qdnpqamKvX48+jkXnJXpUoVnp6Jk/r7gr/rwdh/a8IE6eWXpWPH3OOtWkmjRkktW3JV2UktXere9P90lixxf0PD3N8X/F3/vunffo+BMEArsKIVeEEvsKIVWNEKrCKtFevTM/P10mznzp1q2LChFi1apHr16knSaZdmmXFPM5zKt99K48en67XXCigtzT32t79JI0dKLVr4O1tYOH5Ps8RE96mYmUXYPc3S0tNUsED4/zqQ+2gFVrQCL+gFVrQCK1qBVaS1EhH3NPv888+1d+9eXXbZZSpUqJAKFSqkZcuW6ZlnnlGhQoWUdnzLAXi0aZPUu7dUu7b08svuwqxtW+mTT6TFi1mYmRUsKE35/y89nPlyvONvP/10RCzMJJ24bBk4HVqBFa3AC3qBFa3AilZgFdRW8vU9za6++mp99dVXGY7deuutql27tu6//34VjJC/iCPvfPONNG6c9Oabf1wYVb7+Gi14rpEuv9zf2cJWXJw0e7Y0eHDGFwWoXNldmMXF+TYaAAAAAABnKl8vzUqVKqXY2NgMx8466yyVK1cuy3HgVL76Sho71t3tHF+W3XST9PDD0rrQl7q8QSN/Bwx3cXFS+/buq2QmJUnR0VLz5hFzhdlx7Wu193sEhAlagRWtwAt6gRWtwIpWYBXUVvL10gz4q9atc5dlCQl/HIuLkx56SKpf3337tx21fJkt4hQsGBE3+z+VWufQCmxoBVa0Ai/oBVa0AitagVVQW8nX9zTLztKlS80vAoDg+vxz98Kn+vXdhVkoJHXpIq1fL82Z88fCTNKJl9MFTodWYEUrsKIVeEEvsKIVWNEKrILaCleaIaKsXi098oi0cKH7digkde8ujRghXXyxv7MBAAAAAIDwEXKc43d4ikzWlxFFeFu1yl2Wvfee+3aBAlLPnu6yrHbtU3/sNz99ozrn1sn9IRH2aAVWtAIrWoEX9AIrWoEVrcAq0lqx7orC7umZwJ99/LF0zTVS06buwqxgQalPH2njRunVV0+/MJOkhVsW5v6giAi0AitagRWtwAt6gRWtwIpWYBXUVliaISwtXSq1bu2+QOMHH0iFCkm33y5t3izNmCHVrGn/XCt2rMitMRFhaAVWtAIrWoEX9AIrWoEVrcAqqK1wTzOEDceRPvrIfRrm8uXuscKFpVtvlYYPl6pXP7PPW7ooT9uFDa3AilZgRSvwgl5gRSuwohVYBbUV7mmGfM9xpEWL3GXZypXusSJF3CvLhg+Xqlb1dz4AAAAAABA+uKcZwp7jSO++KzVpIl17rbswK1pUuvNOaetW6dlnc2ZhFvdW3F//JAgEWoEVrcCKVuAFvcCKVmBFK7AKais8PRP5juNI//mPe2XZ55+7x4oVk+64Qxo2TIqOztmvdyz9WM5+QkQsWoEVrcCKVuAFvcCKVmBFK7AKaisszZBvpKdL8+e7y7J169xjJUpIAwZI99wjVaiQO1+3bY22ufOJEXFoBVa0AitagRf0AitagRWtwCqorbA0g+/S06WEBGnsWOnLL91jZ50lDRokDR0qlS+fu1+/caXGufsFEDFoBVa0AitagRf0AitagRWtwCqorXBPM/gmLU16802pbl2pSxd3YVaqlPTgg9L27dKjj+b+wkySxi4fm/tfBBGBVmBFK7CiFXhBL7CiFVjRCqyC2gpXmiHPHTsmvfWWNG6ctGmTeywqSho82P1Rtqy/8wEAAAAAAIQcx3H8HiI3WV9GFLnv2DHp9del8eOlb791j5UpI919t/uKmGef7c9cXyR9oQbRDfz54ggrtAIrWoEVrcALeoEVrcCKVmAVaa1Yd0U8PRO57uhR6aWXpFq1pL593YVZ2bLu8mz7dmnkSP8WZpL0yY5P/PviCCu0AitagRWtwAt6gRWtwIpWYBXUVliaIdf8/rv0wgtSzZrS7bdL338vnXOOe6+y7dvde5flh4v/Fn+/2O8RECZoBVa0AitagRf0AitagRWtwCqorXBPM+S41FT3yrKJE6WdO91j5ctLw4ZJd9zhvjJmflK0UFG/R0CYoBVY0QqsaAVe0AusaAVWtAKroLbCPc2QY44ckaZNkyZNkhIT3WMVKkj33y/93/9JJUr4Ox8AAAAAAAD3NEOeOXxYevpp6fzzpbvuchdmlSpJ//yn+5TMIUPy98Ks55yefo+AMEErsKIVWNEKvKAXWNEKrGgFVkFthadn4owdOiQ995z0+OPS3r3usapVpQcekG69VSoaJldvHvz9oN8jIEzQCqxoBVa0Ai/oBVa0AitagVVQW2FpBs8OHJCefVZ64glp3z73WEyMe2P/Pn2kIkV8Hc+zltVa+j0CwgStwIpWYEUr8IJeYEUrsKIVWAW1FZZmMEtJkeLjpcmTpZ9/do/VqCGNGCHdfLNUuLC/852pNjXa+D0CwgStwIpWYEUr8IJeYEUrsKIVWAW1Fe5phtP69VfpkUekatXcBdnPP0sXXii9/LK0aZP7VMxwXZhJ0oiPRvg9AsIErcCKVmBFK/CCXmBFK7CiFVgFtRWuNMNJ/fyzNGWK+yM52T1Wu7Y0cqTUrZtUsKC/8wEAAAAAAOQWlmbIYt8+6amn3Fe/PHDAPXbxxe6yrHPnyFuWDb9yuN8jIEzQCqxoBVa0Ai/oBVa0AitagVVQW+HpmTjhp5+k4cPdm/pPmOAuzC65RJo9W/ryy8i9umzD3g1+j4AwQSuwohVY0Qq8oBdY0QqsaAVWQW2FpRn044/Svfe6y7JJk6RDh6T69aW5c6W1a6VOnaQCEVzKO1ve8XsEhAlagRWtwIpW4AW9wIpWYEUrsApqKzw9M8B275Yef1x6/nnpyBH3WMOG0sMPSzfcIIVC/s4HAAAAAADgl5DjOI7fQ+SmlJQURUVFKTk5WaVLl/Z7nHxh1y73irJp06TUVPfY5ZdLo0ZJ117LsgwAAAAAAEQu664ogp90h8x27JAGDJBq1JDi492FWdOm0vvvS6tWSdddF8yF2a3zb/V7BIQJWoEVrcCKVuAFvcCKVmBFK7AKais8PTMAtm+XJk6Upk+Xjh51j7Vo4V5ZdtVVwVyU/dn+w/v9HgFhglZgRSuwohV4QS+wohVY0QqsgtoKS7MItnWr+yqYr7wiHTvmHmvd2r1nWcuW/s6WnzSp3MTvERAmaAVWtAIrWoEX9AIrWoEVrcAqqK3w9MwI9O23Ut++Uq1a0ksvuQuza66RVqyQPvyQhVlmnet09nsE5HdpadLSper8fVFp6VL3beAUOK/AilbgBb3AilZgRSuwCmorLM0iyKZNUu/eUu3a0ssvu3+vv+46aeVKadEi6cor/Z4wf7pn0T1+j4D8LCFBiomRrrpK97x/j/uc5pgY9zhwEpxXYEUr8IJeYEUrsKIVWAW1FZZmEeDrr6UePaQ6daTXXpPS06UbbpBWr5befVdqEsyrKIG/LiFB6tzZfcnZP0tMdI+zOAMAAACAiMXSLIx9+aXUtatUt6705puS40gdOkiffy795z9So0Z+TxgehjYZ6vcIyI/S0qTBg91/sf6/oav+/z8cPzZkCE/VRLY4r8CKVuAFvcCKVmBFK7AKaisszcLQunVSXJxUr540a5b79/dOnaS1a6W5c6UGDfyeMLzsSN7h9wjIj1asyHKF2Y6oP73hONLOne7jgEw4r8CKVuAFvcCKVmBFK7AKaisszcLM3LlS/fruz6GQ1K2b9NVX0uzZ0qWX+j1deJr9zWy/R0B+lJSU5dDsOrbHAZxXYEUr8IJeYEUrsKIVWAW1lUJ+DwBv2raVoqPde5GPGOHexwxALoiOztnHAQAAAADCSshx/nTDngiUkpKiqKgoJScnq3Tp0n6PkyMOHpRKlvR7ishx5NgRFStUzO8xkN+kpbmvkpmYeOIeZkcKScWO/f/3h0JS5crStm1SwYK+jYn8ifMKrGgFXtALrGgFVrQCq0hrxbor4umZYYiFWc66+727/R4B+VHBgtKUKe4/h0KSpLvbKsPbevppFmbIFucVWNEKvKAXWNEKrGgFVkFthaUZAi/xQKLfIyC/iotzbxhYqZIkKfH4/4CoXNk9Hhfn32zI1zivwIpW4AW9wIpWYEUrsApqKyzNEHj1K9T3ewTkZ3Fx0vbt0pIlqt8kTlqyxH1KJgsznALnFVjRCrygF1jRCqxoBVZBbYV7miHwdiTvUNWoqn6PgTBAK7CiFVjRCrygF1jRCqxoBVaR1gr3NAOMBr07yO8RECZoBVa0AitagRf0AitagRWtwCqorbA0AwAAAAAAADJhaYbAG9BogN8jIEzQCqxoBVa0Ai/oBVa0AitagVVQW2FphsBLPpLs9wgIE7QCK1qBFa3AC3qBFa3AilZgFdRWWJoh8F7/6nW/R0CYoBVY0QqsaAVe0AusaAVWtAKroLbC0gwAAAAAAADIJOQ4juP3ELnJ+jKiCK7kI8mKKhbl9xgIA7QCK1qBFa3AC3qBFa3AilZgFWmtWHdFXGmGwBu1dJTfIyBM0AqsaAVWtAIv6AVWtAIrWoFVUFthaYbA+/6X7/0eAWGCVmBFK7CiFXhBL7CiFVjRCqyC2gpLMwTeRedc5PcICBO0AitagRWtwAt6gRWtwIpWYBXUVrinGQLvx4M/6ryS5/k9BsIArcCKVmBFK/CCXmBFK7CiFVhFWivc0www6veffn6PgDBBK7CiFVjRCrygF1jRCqxoBVZBbYWlGQAAAAAAAJAJSzME3m31b/N7BIQJWoEVrcCKVuAFvcCKVmBFK7AKaisszQAAAAAAAIBMWJoh8F5a+5LfIyBM0AqsaAVWtAIv6AVWtAIrWoFVUFthaQYAAAAAAABkEnIcx/F7iNxkfRlRBFekvXQucg+twIpWYEUr8IJeYEUrsKIVWEVaK9ZdEVeaIfCeXPWk3yMgTNAKrGgFVrQCL+gFVrQCK1qBVVBbYWmGwNu4b6PfIyBM0AqsaAVWtAIv6AVWtAIrWoFVUFthaYbAO7/M+X6PgDBBK7CiFVjRCrygF1jRCqxoBVZBbYV7miHwko8kK6pYlN9jIAzQCqxoBVa0Ai/oBVa0AitagVWktcI9zQCj3nN7+z0CwgStwIpWYEUr8IJeYEUrsKIVWAW1FZZmAAAAAAAAQCYszRB4ver28nsEhAlagRWtwIpW4AW9wIpWYEUrsApqKyzNEHiR9Lxs5C5agRWtwIpW4AW9wIpWYEUrsApqKyzNEHjPrnnW7xEQJmgFVrQCK1qBF/QCK1qBFa3AKqitsDQDAAAAAAAAMgk5juP4PURusr6MKIJrR/IOVY2q6vcYCAO0AitagRWtwAt6gRWtwIpWYBVprVh3RVxphsB78YsX/R4BYYJWYEUrsKIVeEEvsKIVWNEKrILaCkszBN7aPWv9HgFhglZgRSuwohV4QS+wohVY0QqsgtoKSzMEXqVSlfweAWGCVmBFK7CiFXhBL7CiFVjRCqyC2gr3NEP+kZYmrVghJSVJ0dFS8+ZSwYK5/mWPHDuiYoWK5frXQfijFVjRCqxoBV7QC6xoBVa0AqtIayUi7mk2ceJENWrUSKVKlVL58uXVoUMHbd682e+xkBsSEqSYGOmqq6SePd2fY2Lc47ms66yuuf41EBloBVa0AitagRf0AitagRWtwCqoreTrpdmyZcs0cOBA/e9//9PixYt17NgxtWnTRocOHfJ7NOSkhASpc2dp166MxxMT3eN5sDgDAAAAAAD4s0J+D3Aq7733Xoa3p0+frvLly+vzzz9XixYtfJoKOSotTRo8WMruWcKOI4VC0pAhUvv2ufZUzc51OufK50XkoRVY0QqsaAVe0AusaAVWtAKroLaSr680yyw5OVmSVLZs2ZM+JjU1VSkpKRl+IB9bsSLrFWZ/5jjSzp3u43JJ1aiqufa5EVloBVa0AitagRf0AitagRWtwCqoreTrK83+zHEcDR06VFdeeaViY2NP+riJEydqzJgxWY53m9VNhUsU1utxr+vBDx/UD8k/KLZ8rAY1HqQ73rlDktSvQT8dTT+qGetmSJJeav+SJn08SZv3b9YFZS/QQy0eUt95fSVJvS/prRKFS2jq51MlSc9e/6ymfjZV639cryqlq+jxNo+r++zukqSuF3dVdMloTfl0iiTpqbZPaeaGmVqduFrlzyqvqTdMVce3OkqS2tdqr1rn1NJjnzwmSXr0b49q4ZaFWrFjhUoXLa3X4l5T3FtxOpZ+TG1rtFXjSo01dvlYSdLoVqP1yY5PtPj7xSpaqKhmdZmlnnN66uDvB9WyWku1qdFGIz4aIUkafuVwbdi7Qe9seUeStKDHAt06/1btP7xfTSo3Uec6nXXPonskSUObDNWO5B2a/c1sSdLbXd7W3e/drcQDiapfob5ub3C7Br07SJI0oNEAJR9J1utfvS5JerXjqxq1dJS+/+V7XXTORRraZKj6/aefJOm2+rdJ3y7XSz3cP6NpC6Qnm0gbz5XO/0Uas0TqHee+r9eWBEVVPqJn1zwrSYpvF68Xv3hRa/esVaVSlfTUtU+deI515zqdVTWqqp5c9aQkaXKbyZr9zWyt2rVK5UqU0/T203XTzJskSTfUvEGvrH9FZYu7i9jxrcdr0dZFWvbDMpUsUlJvdHpDXWZ1UeqxVF1z/jVqVrWZRi8dLUka2WKkVieu1vtb31ehAoWU0C1BNyfcrJTUFDWv2lzX17xewz8YLkka1myYNu/brPmb50uS5nabq/7v9NfeQ3vVuFJj9Yjtobvfv1uSNPjywUo6mKS3v35bkvRm5zd136L7tDNlp+qdV0/9G/bXgIUDJEn9L+uvw0cP69UvX5UkzegwQ+OWj9N3P3+nWuVq6f4r79dt82+TJPW9tK8KFyisaV9MkyQ9f8Pzil8drw17N6haVDVNuHqCeiX0kiT1iO2hciXKKX51vCTpmeue0SvrX9Fnuz9TdMloxbeLV6e3O0mSOtbuqBpla+iJlU9Ikh675jHN3zRfn+z8RGWKl9HLHV5Whzc7KN1JV7sL26l+hfoav2K8JOmRqx7R0u1L9dG2j1S8cHG91fktdZvdTb8d/U2tq7dWq5hWenjJw5KkEc1HaO2etXr323dVIFRA87rPU595ffTLb7+oWZVmal+7vYYtHiZJurfpvdr681bN3TRXkjSn6xwNeneQkg4mqWHFhrql3i266793SZIGNR6k/Yf3a+aGmZJ0ynPEnoN7NPzK4Zwj8vIcIemltS9JkqbdOE1PrnpSG/dt1PllzteYVmPUe25vSVKvur0UVSwqV84RseVj9ejHj0qynyNWJ67Wf3r8h3NEwM4RZ/J9xO0LblfjSo05RwTsHCGd2fcRIz4aocaVGnOOCNA54ky/j7jjnTtUs1xNzhEK1jniTL6POJZ+TLO+nsU5ImDniDP5PuKLpC+0a+iuiDlHdL/Q/f05nbB59cyBAwdq4cKF+vjjj1W5cuWTPi41NVWpqakn3k5JSVGVKlV49cz8aulS96b/p7NkidSqVa6McNPMm7Sgx4Jc+dyILLQCK1qBFa3AC3qBFa3AilZgFWmtWF89MyyWZnfeeafmzZun5cuXq3r16p4+1vobAZ+kpbmvkpmYmP19zUIhqXJladu2XLun2bf7v9WF5S7Mlc+NyEIrsKIVWNEKvKAXWNEKrGgFVpHWinVXlK/vaeY4jgYNGqSEhAR99NFHnhdmCAMFC0pT3MtEFQplfN/xt59+OtcWZpJOXOYJnA6twIpWYEUr8IJeYEUrsKIVWAW1lXy9NBs4cKBee+01vfHGGypVqpT27NmjPXv26LfffvN7NOSkuDhp9mypUqWMxytXdo/HxeXql1+1a1Wufn5EDlqBFa3AilbgBb3AilZgRSuwCmor+fqFAJ577jlJUqtM97KaPn26+vbtm/cDIffExUnt27uvkpmUJEVHS82b5+oVZseVK1Eu178GIgOtwIpWYEUr8IJeYEUrsKIVWAW1lbC4p9lfwT3NAAAAAAAAcFxE3NMMyAvHXxIaOB1agRWtwIpW4AW9wIpWYEUrsApqKyzNAAAAAAAAgExYmiHwbqh5g98jIEzQCqxoBVa0Ai/oBVa0AitagVVQW2FphsCLLR/r9wgIE7QCK1qBFa3AC3qBFa3AilZgFdRWWJoh8B79+FG/R0CYoBVY0QqsaAVe0AusaAVWtAKroLbC0gwAAAAAAADIJOQ4juP3ELnJ+jKiCK6vfvxKdc+r6/cYCAO0AitagRWtwAt6gRWtwIpWYBVprVh3RVxphsBbtHWR3yMgTNAKrGgFVrQCL+gFVrQCK1qBVVBbYWmGwFv2wzK/R0CYoBVY0QqsaAVe0AusaAVWtAKroLbC0gyBV7JISb9HQJigFVjRCqxoBV7QC6xoBVa0AqugtsI9zQAAAAAAABAY3NMMMOoyq4vfIyBM0AqsaAVWtAIv6AVWtAIrWoFVUFthaYbASz2W6vcICBO0AitagRWtwAt6gRWtwIpWYBXUVliaIfCuOf8av0dAmKAVWNEKrGgFXtALrGgFVrQCq6C2wtIMgdesajO/R0CYoBVY0QqsaAVe0AusaAVWtAKroLbC0gyBN3rpaL9HQJigFVjRCqxoBV7QC6xoBVa0AqugtsLSDAAAAAAAAMgk5DiO4/cQucn6MqIIrjWJa9SoUiO/x0AYoBVY0QqsaAVe0AusaAVWtAKrSGvFuiviSjME3urE1X6PgDBBK7CiFVjRCrygF1jRCqxoBVZBbYWlGQLv/a3v+z0CwgStwIpWYEUr8IJeYEUrsKIVWAW1FZZmCLxCBQr5PQLCBK3AilZgRSvwgl5gRSuwohVYBbUV7mkGAAAAAACAwOCeZoDRzQk3+z0CwgStwIpWYEUr8IJeYEUrsKIVWAW1FZZmCLyU1BS/R0CYoBVY0QqsaAVe0AusaAVWtAKroLbC0gyB17xqc79HQJigFVjRCqxoBV7QC6xoBVa0AqugtsLSDIF3fc3r/R4BYYJWYEUrsKIVeEEvsKIVWNEKrILaCkszBN7wD4b7PQLCBK3AilZgRSvwgl5gRSuwohVYBbUVlmYAAAAAAABAJizNEHjDmg3zewSECVqBFa3AilbgBb3AilZgRSuwCmorLM0QeJv3bfZ7BIQJWoEVrcCKVuAFvcCKVmBFK7AKaisszRB48zfP93sEhAlagRWtwIpW4AW9wIpWYEUrsApqKyzNAAAAAAAAgExCjuM4fg+Rm1JSUhQVFaXk5GSVLl3a73H+urQ0acUKKSlJio6WmjeXChb0e6qwlpaepoIF+D3E6dEKrGgFVrQCL+gFVrQCK1qBVaS1Yt0VcaVZOElIkGJipKuuknr2dH+OiXGP44z1f6e/3yMgTNAKrGgFVrQCL+gFVrQCK1qBVVBbYWkWLhISpM6dpV27Mh5PTHSPszg7Y3sP7fV7BIQ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      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Bahrain GP 23 Grid VS Finish Points\n",
    "\n",
    "plt.figure(figsize=(15,10))\n",
    "plt.grid(color = 'green', linestyle = '--', linewidth = 0.5)\n",
    "plt.scatter(H, y, color = 'red')\n",
    "plt.plot(H, regressor.predict(H), color = 'blue')\n",
    "plt.title('Grid VS Finish')\n",
    "plt.xlabel('Start Position')\n",
    "plt.ylabel('Finish Position')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}