{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Iris Species\n",
    "\n",
    "Classify iris plants into three species in this classic dataset.\n",
    "\n",
    "Tutorial from https://machinelearningmastery.com/machine-learning-with-python/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. Prepare Problem\n",
    "# a) Load libraries\n",
    "from pandas import read_csv\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from pandas.plotting import scatter_matrix\n",
    "from matplotlib import pyplot\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis\n",
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.svm import SVC\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal-length</th>\n",
       "      <th>sepal-width</th>\n",
       "      <th>petal-length</th>\n",
       "      <th>petal-width</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>Iris-setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal-length  sepal-width  petal-length  petal-width        class\n",
       "1            5.1          3.5           1.4          0.2  Iris-setosa\n",
       "2            4.9          3.0           1.4          0.2  Iris-setosa\n",
       "3            4.7          3.2           1.3          0.2  Iris-setosa\n",
       "4            4.6          3.1           1.5          0.2  Iris-setosa\n",
       "5            5.0          3.6           1.4          0.2  Iris-setosa\n",
       "6            5.4          3.9           1.7          0.4  Iris-setosa\n",
       "7            4.6          3.4           1.4          0.3  Iris-setosa\n",
       "8            5.0          3.4           1.5          0.2  Iris-setosa\n",
       "9            4.4          2.9           1.4          0.2  Iris-setosa\n",
       "10           4.9          3.1           1.5          0.1  Iris-setosa\n",
       "11           5.4          3.7           1.5          0.2  Iris-setosa\n",
       "12           4.8          3.4           1.6          0.2  Iris-setosa\n",
       "13           4.8          3.0           1.4          0.1  Iris-setosa\n",
       "14           4.3          3.0           1.1          0.1  Iris-setosa\n",
       "15           5.8          4.0           1.2          0.2  Iris-setosa\n",
       "16           5.7          4.4           1.5          0.4  Iris-setosa\n",
       "17           5.4          3.9           1.3          0.4  Iris-setosa\n",
       "18           5.1          3.5           1.4          0.3  Iris-setosa\n",
       "19           5.7          3.8           1.7          0.3  Iris-setosa\n",
       "20           5.1          3.8           1.5          0.3  Iris-setosa"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# b) Load dataset\n",
    "\n",
    "filename = 'datasets/Iris.csv'\n",
    "names = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']\n",
    "dataset = read_csv(filename, names=names, skiprows=1)\n",
    "dataset.head(20)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "       sepal-length  sepal-width  petal-length  petal-width\n",
      "count    150.000000   150.000000    150.000000   150.000000\n",
      "mean       5.843333     3.054000      3.758667     1.198667\n",
      "std        0.828066     0.433594      1.764420     0.763161\n",
      "min        4.300000     2.000000      1.000000     0.100000\n",
      "25%        5.100000     2.800000      1.600000     0.300000\n",
      "50%        5.800000     3.000000      4.350000     1.300000\n",
      "75%        6.400000     3.300000      5.100000     1.800000\n",
      "max        7.900000     4.400000      6.900000     2.500000\n"
     ]
    }
   ],
   "source": [
    "## 2. Summarize Data\n",
    "# a) Descriptive statistics\n",
    "\n",
    "description = dataset.describe()\n",
    "print(description)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "class\n",
      "Iris-setosa        50\n",
      "Iris-versicolor    50\n",
      "Iris-virginica     50\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "outcome = dataset.groupby('class').size()\n",
    "print(outcome)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              sepal-length  sepal-width  petal-length  petal-width\n",
      "sepal-length      1.000000    -0.109369      0.871754     0.817954\n",
      "sepal-width      -0.109369     1.000000     -0.420516    -0.356544\n",
      "petal-length      0.871754    -0.420516      1.000000     0.962757\n",
      "petal-width       0.817954    -0.356544      0.962757     1.000000\n"
     ]
    }
   ],
   "source": [
    "numeric_columns = dataset.select_dtypes(include=[np.number]).columns\n",
    "correlations = dataset[numeric_columns].corr()\n",
    "print(correlations)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sepal-length    0.314911\n",
      "sepal-width     0.334053\n",
      "petal-length   -0.274464\n",
      "petal-width    -0.104997\n",
      "dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "skew = dataset[numeric_columns].skew()\n",
    "print(skew)\n",
    "skew.plot(kind='bar')\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x1000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# b) Data visualizations\n",
    "\n",
    "fig = pyplot.figure(figsize=(10, 10))\n",
    "dataset.hist(layout=(3, 3))\n",
    "pyplot.tight_layout(pad=0.4, w_pad=0.5, h_pad=1.0)\n",
    "pyplot.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset.plot(kind=\"density\", subplots=True, layout=(3, 3), sharex=False)\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset.plot(kind=\"box\", subplots=True, layout=(3, 3), sharex=False, sharey=False)\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "correlation_matrix = dataset[numeric_columns].corr()\n",
    "names = dataset.columns[0:4]\n",
    "fig = pyplot.figure(figsize=(10, 10))\n",
    "ax = fig.add_subplot(111)\n",
    "cax = ax.matshow(correlation_matrix, vmin=-1, vmax=1)\n",
    "fig.colorbar(cax)\n",
    "ticks = np.arange(0, len(names), 1)\n",
    "ax.set_xticks(ticks)\n",
    "ax.set_yticks(ticks)\n",
    "ax.set_xticklabels(names)\n",
    "ax.set_yticklabels(names)\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CWR8jClxU3cr5EPI5efjaJsKpLOUex1mnEXVdJ6vqOIsU4BY1mIlEIvT390+aQhoYGMgHGcFgkGx2+qmk73//+7zvfe9DlgsP/ctf/jJf/OIXL3zQFhaXER6HPE6N88evt/Mvz59E1Q1uW17J5+9agaYb7GwbwcBgVW0Ap82qS7CYjCgKVPgc9EfNh72Ay0bbYJJnjvShG3D94gqcNomnD/WiG3Dd4grW1gcBONob4+lDvWg6XL/kzPvH+mI8ddB8/7rF5axrKMFvFfgWFZdNwu+y5ZWVK/2mgecrJ4d47fQQNknkbauqaTpPnZYLIZpWeHxXF8OJLE3lbu5aXVMwoNnXGeZrvztGMqtxVVMpj9y2ZMbHUvRppg9+8IM8/vjjdHZ20tnZyeOPP86HPvQh7r33XgBef/11Fi9ePK31xeNxfvKTn/DBD35wymU+97nPEYlE8v91dHTMxFexsLgs+O6Lp1E0HcMw+O3BXo73RREFCPkdhHwObJKYr1mwsJjIvWtrWdsQZE19gPvX1/Ls0X4UzUDTDZ470s9vDvTkX28/2p+vifjd4T4UzUA3zPfTivn+04fOvP/8sYH8+xbFQxIF3r6+jtV1AdY1BLlnbQ2RpMKrp4bMNnhV59kj/bMyltdODTOcMJMRrYPJvN7VRH70ShuJjIZhwGunh8d5ds0URc3MfPvb3+bTn/4073znO1FVs3ddlmXe//7354X1li5dyve+971pre/HP/4xa9asOat6sMPhwOFwTPl3C4tLjWEY7O2MMJzIsCjkm1KZU9V0draNkMxqrKoLUO51YJYFj1kmF7gInEktz2AZhMU8w+OQuXFJiFRW4822YU4NxKnwOXDIEuZk0fjpCcMYb0uj6jo94TQvHh9kS8vkBoy0ovFm6wiaYbCuIWhlaYqEKIIsiUiCgCgIGIwvvNVn6SJgGAb90TSJrEqJ2z7ldjVdJ5ZW0HQDt12e0VqtUYqamfF6vXz3u99laGiI3bt3s3v3boaGhvjOd76Dx2OmwNauXcvatWuntT6r8NdiPvD66WGeO9LP3o4IP93VRX8sXXC53x3u4+WTQ+zpCPP/3uwkmVV5/zVN+ZqFG5ZUsKw6gG6Y9Q89kbSp6SHNzny5xdzliT1dvNk6gkMWOdobAwyuWxzituVVSKKAIMC2Rea006i0vSQKHO2NIYkCB7oiPLqzkxsWV4xZvpynDvbxRuswu9pGeGxnZ17jxGLm0HWDR3d2sqtthDdah3liTxdBt51NOUE8myRw49LZsSJw2iS6win6ohm6I2mCrsLB69JqP4mMRjyjYpdFFoVmfgpsVkrNvV4vq1evvuj1vPzyyzMwGguLmUHTDaIpBa9TLmgzMBW9Y4r3dMOgL5Ih5JvcqdQdTpNWVLKKDm47I0mF917dxKamEiJJhc0LytF0A0kU2JTThhAFgbSi47JL9IRTSKJgGVZeoSQyKrphTBKpi6UUWocSOGSJCp+TMq+Dh69txiaJ6IbBJ25YgG6YbdyxtILPaWN5jZ9FIQ/fePYEYi4D2B/NUOZ18HsbasmoBuVeO88c7s+fC+GkQjKrWiJ5M0xS0QgnFbKqhiAI9ETSGIbB1kXlLKny4jyHMKFhGERSCi67lG/N13WDaFrBbZfPyysrnlFZVRsgpWp47DID8SwNZZMDFbdd5o6VVaQVDZ/LxkhSJeB2kMpqZDWdwJggKJFR0QzjvLN6RQ1mEokEX/nKV3jmmWfo7+9H18enwk6dOlXMzVtYFI20ovH/dnYyGMvgdcg8sKFu2sqZ9aVuTg0kAPMpqiZYONiIpBR+tb8X3TCoK3Hzseua+efnjvNfr3dgGAYbm0r5+jvXUVfionMkBZjFgE6byLefP8mzR/oRBLhvXS0PbmqYmS9uMSfY2TbCi8cHMAzY3FLKNQtMv51d7SO8cGyAUwMJvA7TfLDS7+TUQJwXjg+ayzeX4rRLvHDM/PxVzaVcu7AcmyzRXO6hbShJbyRNfzzDnz++j+5IGlEQKHHZ8Dhk3A6ZhlI35T4HHqs1e8Zx2ySiaYVDOS+sLS2lCILA7w71sb8rgigI3LaisqB4naYb/Gx3F+3DSeyyyD1rawj5nDy6s5O+aBqXXeL+9bUFH64K4XfK7O2MoGg6PqfMgxvrCy7nkEX2dEbQDYNKv5Myj52jvTF+e7AXTTdYXuPnLSuq2NcZ5tkj/RgGbGgsYW3V9EtGinqkffjDH+b555/nve99L9XV1bPWLmZhUWwOdkfzstvxjMrOthFuXV45rc+ubyjBY5cZSmRYWOEdZ2EwluP9MfwuG7puoGo6xwcSPLbzjDbIm63DHOqKcM/aWvZ1hjGAVbUBRhJKvgDQMEwdmt/bUIcoWl1OVwK6bvDSicF87dRrp4ZZ31CCQxbZkQtYFlf66I+l2dRUwobGEr734un88q+eGhp3rX79tPl5l910e9/bMcKjO7tYVunlF/t60A0Dw4BwMstbVlQRz6hsaCzhqubSi3Zwt5hMRtVx2yTqS9wIAggIDMUzeYNG3TDYcXywYDBzejCRV+zNqjqvnRpmcaUv3+qdypo1T3esqp702ULEMxrN5W4SWY0St43BRJa6AjWAiqbTVO4mq+qUex2EUwo7TgzmpyEPdUdZ31DCi8fPHLc720ZYWDJ908uiBjO//vWvefLJJ7n22muLuRkLi1lnov/R+dapmAq7ZwSmsqrOSycHiaYUVtYGWFDhRRYFFFVHMwwcuojbJmGTBDI5HzhBEHA7JOyyOM5ATtH0cZ4sNlm0ApkrCEEwC3VP9MfBMF2s42mV51qHOdkfJ+R34LbL1JW4uaq5DLssIksiqm52IsmSiCiQt8+QRIHRw8cmiWxsKuPNtjCprIYoCuiakfu7gF0WqXO72dxSOmPqwlc64WSWV04OoRtmFsbrlFF1g0RWNQUKBfMcH+upNtX1aNJ1SxaxyeOXPZ8pc7ssUOpxUOo5x3ZlaVy2xyaJ2McsKwjmZ22SQDZ3fRMFAfk8guGiXuFKSkosywGLecnyGj9LqnzmxbvExebmsota3/aj/expD3NqIMEv9/YwFM+wpMqXq10wKPM6qAw4+dQti/HYZeyyxNvX19JUPlmq3Oe08Z7NjbjsEl6HzIe3Nl/U2CzmFoIgYBgQS6lE0gqqDr/Y182R3hgBt41TAwkcNpG3rKjK10fcvrIKr0PGZZe4bUUld66uGfd6YmBy+wpz+atbyqgNuqkNutnUVErQbefW5ZOXt7hwfra7iyO9MY71xXh8dxciAmquxiWWUsEwTSVvWBLCYRPxu2zctqKq4Loaytysawhil0UqfA6uX1TBkkofy2v82GWRmqCTqxdM/1q2paWM2qALuyyyrNrHsqrCvkw3LqmgzGvHLotsbimlKuDkluWVBFw2HDaRbYsqCLrt3L6iGp9TxmmTuGV5KK8uPB2Kmpn5X//rf/H5z3+ef/u3f8PtLtx+anH50PSnT57X8q1feVuRRnL5I4nCtFOxhYikFKIphZDfbIsd1WoAM008kjSL8dbWB0hmNBor3ETTKm9dVc1bC2y3L5pGNwyqAy4A7lhdzR2rL3x8FnMXPVcUvr6xBDALPgfjGTKK2em2sjbAB65pGmc10Fzu4SPXtQBnjqW719ag6QbVgfH1E33RNHZZ5MPbmsdNR/VH06gFlre4cDTdvBaMEkubAarXIbOx0UwUmMGrweraABU+B3bJDFSm4oYlIW5YEprwXgXLq/0E3Da8jqnDgv5omtODCRaFfJR67bjtMu/YNLlOJpJUiKYVKv1O7LJImdfB+65uGrdMdcDFByc8aDWUufnwtpb86/NR8C9qMPP3f//3nDx5ksrKSpqamrDZxlcn79q1q5ibt7C4LGkbSvDzPd2oukGJ28aDmxpYXOWjJ2LOW/ucMrVBFwe7o/z2UB8YBgd67HzsuoUF1/f8sQF25USoVtYGpl27YzE/EUWBRSEfx/pMAbPGMg+nhxL5morl1f4pPZN2HB/kjdZh2oeTKJrOggovy6r93L6yatzfgXHvv3RikNdPj77v4/aVViA9E0iiwKJKL8f74oA5ZVjmsY8r+l9caWZnf7GvO99YcN3icjY0Tm9WJJlV+e/XO4ikFGySwD1rawtqXx3pifLlXx8hrWi47RJfuHsFjQU6l04NxPnlvh403aDMa+cdG+vPK8NyoRQ1mBlV+bWwsDjDno5wXuxuJKlwciDO+oYSyj0OommF5nIPLrvEwe4ILpuEYRiomsHrp4e4dUL6WNMNdrefUdM80BVh26LyWbl4WFy+vHVlFQtDXjTdYGGFh29uP8nCkBfDAK9DLujfZRg5WwzDoCecwgAaSt0c7oly3eJyXDaJXWOOtcM9UbYtKsdtl8Ypuh7uibFtUcU4Gw6LC+eOldUcC8XyhduCIHDfulqO9cXNYCfkZSiRzQcyYBbPTjeYOdEfJ5KzRlA0g72d4YLBzFOH+vIKz8msxlOHevnItgWTltvTEc7X6w3Fs7QOJVg6xfTTTFLUo+2v/uqvirl6C4vLHlXTee7oAH3RNC3lHq5ZWI4owAvHB0hmNGqCTu5dV0syq7K3M0w0rWAYsKougMch5/xXBARBoCrgZDiR5bkj/WQ1nS0tZTSXewinFF4/NYQBrGsoOa8CPov5RV80zfPHBjAMg2sXlmOXRH62t5vj/TFCfid+pw27LBYs1BQEAY9DIpY2sMmiOcWRyLK/O0LbUIJ3bW5A1w0OdkeIphQiKSX/vtsuEUublZvm+q1jcKYYiGfY1xnBMAz8Lhu1QReyJLK85kyA4LJJRFIKHcNJJFFgY1PJtNfvtst0jaQYSmRw22VW1voxDIOXTgzROpSgOuDkhiUhgu7xMyslLjuKZlonDMQyLAx52dJShk0SOd4XI63olPvseOwy8YzKs0f6iaUV1tYHWVETmLHfZ5Sih87hcJhHH32UkydP8sd//MeUlpaya9cuKisrqa2tLfbmLSwuKa+3DnMgl94fiGUo9do50hMjllJQNMNU7g2nONQdNbtPgGdifVT6Hfz1XSv4wi8Pkcyo3LG6ilV1QX70alu+JfzJfd18eFsLx3tjJLPmE9PJ/nheSM/iyuPne7qJ59rdfr63G1kUSGQ0Kv1OusIpmhd4uGFJaEp34ztX1/Dc0X6ubilDNwx+ua8HhyzSE0nzT8+dYFVtAMOAUwMJZEmgK5ziH589wf93zwpePjWMphtsXVh+XsJrFmdn3D7d083vX9dS+Pw2DDTDQDBgoi3F2RAF8u31o7IPh3qi+enEgVgGn9PGOzbU0RfNcHowzuJKH/eureWVU0N5vZuBWIZyrx0Bc32j6xQEeOZwXz5z9PShPir9zpw9y8xR1GBm37593HLLLQQCAVpbW/nIRz5CaWkpP/3pT2lvb+ff//3fi7l5C4sLIpXVaB1K5J+CpqJjJMne9jALQ16WFtB0AIinVRIZlWRWw+eUiadVYhlTFVXVdRyyxEA8Q1rRiKYVMopO0G0jllFZXhvgJx+9etz6YukzxYCKZip5ajkhqjPjVwGZ7Uf7kSWRGxaXI4oiiqabnSyyOCuOuhazi55r1wXzptQ9kkI3zE44n9PG0iobb99QR3ckzfG+GC0VXgQMth8bRNM06ko9SIKpgyQK0FTm5qUTQ3m/nXRWQ9V0VtT4OdIbJaVoDMczlHrsuOwyD111RpjRMAxODSbQdIMFFV4ruL5ANN0gnlEYTigYhkGpx56TXhg/RZhSNFx2GY9dyrVf5/aZYl7LPHZ5Sg+4WFqlxG0jpWgE3TYyqk4srZJWNGJpNZetU3DaZf74LePdruO5bNzYdWU1nSVjppXiGTUfjIHZPp7IqJR7HbQNJUgpGi3lXuyyOO64aTnPa1RRg5lHHnmED3zgA/zt3/4tPt8ZTY077riDd73rXcXctIXFBZFWNP7r9fb8HPKNS0OsrQ9OWu7kQJwv/uIgGUVHFAQ+eeMCti6qmLRc0G3jUE8UTTdw2SQe2tzA0iofzx3pRzdM07U19QH2dkTyTzhlXjsVUzy1rKsv4dVTQ4DZgRLyOdjcXMqrp8ynqLX1QXxOmb984mA+0/PG6WH+6C1LeHRnJ725IuMNjSVct3jyeC3mLqIosKYuyJ6OMCcHEoCBLIoMJWIsrfKztMrHC8cHOdxjHmfN5R4O90TZ0xFmOJHFaRNpLPOgqDpLq/00lbu5ekEZL50YBGB1fZCrF5Szuz0MQDKjoag6sixS7h2vfv30oT4O5o7nhlI396+vtURTLwBJFFA0I1/MvaImULAezmuXef30UN4qxWmTyKo6P3mzg6G42Sm5bVH5OD2qUZx2ke05x3NBEFhVG2B5tZ/DvVEyio4sCbx1ioLulbUBTvTHUXUDr0NmYciLz2mjY9gMpEvcNprKPKiawe8O92EYEPI7qAm6xhWNh/wOHtxYz/ajA/lC9fpSN7cu9BXcbiGKGsy88cYbfPvb3570fm1tLb29vcXc9LzkfFunLc6frnAqH8iAWeRYKJh55cQgGcW059ANgxePDxYMZkaSCqvrAqSyGh6HzEAsg8chc/OyEJGUQqXPSTytkcpqrKkLkFF1fE4b/bEM/gKmbVcvMOtksqpOXYkLQRD49K1L2Nk2gqbrbGwsYSCezQcyYBbkDcbS+UBm9HtZwcz848alIRZWevnhjtP4nDIgEEsr3Lm6mpZyD//43In8sif7Y+xqH0HALOhMZFRsklnvklV1WgeT/P51LWxbVE5W1dnUVIIoiiys8PDCsQH8ufX7nKYnz2h20DAMDvfE8ttpH04Sz1geTReCphvYZZEVNX4MA3xOibSiTQpoWocSSKJAudeBKAj0RtP0RdP5QAbMqaNCwcz+jgilbjtZTUcWBY72xWmu8LKyJkAio+KyS4wks5M+B2bA8b6rmxhJmvvfZTd9od53dSORlEJ10IlDllhZG6Aq4CSRUakJurBJYj6oBtPnayiRHfdex3CSaHrqzPhEihrMOByOgn3ix44do6LCupBaXHp2tY/wZuswLpvE7SurCbpsiIKQT62XuAv7LdWUjE/Z1kwxHVXituOQzxi6lbhtDCeydI6kSCkaugEBl1mUeXIgQUbVqAo4JxXbjaWqgI7HhsYzBX8Bp4zbLuXraEo8NvwuO8OJLKcHE8iiwLULpy8TbjF3aBtK8LvD/XSOpKj0O5FE6BxJ8dzRfgQhRMBlI5w0i3c7R5JEU6aLsSwKuQJgGcMAWRJw2yWcNol1DSV0DCf515fb0A2D6xdXUB105m+UbrtEwHnmViIIAiUeW/7vLruEy+quuyAkUUDVDE70xzEw294nqvgChHxOsprBcCKLKAjUBF34nbZxSuBTXctqgy4iaYVUVsMmiZR57JS47dgkkWDuM8EpPgsQcNsITCwO9tgpGeNVN5LI8tuDvcTTKusaTKuLoNueLxq3SQJeh0zQY8/XBDpt53fcFDWYufvuu/nrv/5rfvKTnwDmQd7e3s6f/Mmf8MADDxRz0xYW52Q4kc2b6SUyGr873MdDVzVwx6oq9ndF8DttbF1U+KZ/09IQA7E0e9rDNJZ5ePdVhY0cNzaWoGg6vZE0zRUeFoZ8HOuL43HIiIJ5w8ioOoZh4LZLSKKAUzbfu1BG57b/6/UObJLA+69pQtVNwTSPQ0IWBYzcnLrF/MEwDH61v5e0otFc7snrkDSVeUhkNH69v5cHN9Xz2ulhnjrUS1O5h9qgi/1dEa5qKmFBpRe/04YBeXXf0VqXX+3vyQfHvznQyyO3Lub/vtaOohk8dFU9zgm6NXevqcl772xpKZuy4Nji7BiGgSCQCzINJMF0NhcnFPjaZIHFIS+HdR1ZElla5SXgtnHn6mr2dobx2GW2FcgcA5R6HTSXeegKp/A5ZRZUeFhS5SOeUWgdTFIddLKuQHb6fHj2SD/9UTNIeenEII1lbm5fWcWO4wOkFI2NjaV4HDJ3rzaPG1XX2dxchl0onBEqRNFF897+9rcTCoVIpVJcf/319Pb2cvXVV/OlL32pmJu2sDgnWVXPe5kAZHIaCosqfSyqPPdc7YObGia5UXeOJOkOp6kJOqkrcSMWyIKoulnln1VND6WMqqHpZoYmo+p4HDIZRUPXdX65v4dwUuHWZZVUn6UYeSLLawL8r3vPtD8OxTP5IlAwzeks5i6KpnOgK4JuwMpaPw5Zyh9TYD7VLqjwYBhmLY2mm51zB3siRFNZ8ylcFHA6bSwK+bh3XQ3rG0sK2hAYhpFfL5jHb6XPyd1ra81CzYrJlhpBt507V9cU7weYp2i51ndF01leHcCR81zyO2UMQBJBMwyGoyl+sKMVWRb52LZmsppBddCVv0Y4beatvaXCW3D/jCWr6tSXuvE5bbjtEkbu2rChsXTaWjXnYuLDWUbRqfTLk8QVA24bbxujXB6NXibBTCAQ4Omnn2bHjh3s27ePeDzO+vXrueWWW4q5WQuLaVHpd7Aw5OVEvyk+dfWCi5t6aR9K8tPdnfl2xPvW1RZUyOyPpNjdPoJuGHSGk7xvS2N+mkk3DJJZjTKvg3987gQvnzCLfV88NsDf/d4aAmdJ956NMq+DZdU+DvfEEAXhvPxXLC4/fr6nO+9+fLwvxoOb6hFFYVzB7qZm0+zxpRODHO+L4bJLfPWpY8TTKk6bROdIioZSN267xKunhjk9mOShq+onFeoKuePlxePmetc3lvDs0f58q+2R3ijvuqrBKvCdAX57sJejvWa90cFu83dVNYPWIXNf+5w2ZAF+/993MRA3a+D2tIf5jw9vvuDzu8xr5/RQgnhaRRYFbl4eOveHzpPNLaX8al8Pqm7QVO6mrmT6D2bTZVYkGrdu3crWrVsvah2ZTIbPfOYz/Pa3v8XpdLJmzRr+4z/+Y4ZGaHElIggCd66upjeSxuOQ8LsuLFAYpXUokc/0GAa0DiXzwYyq6flUe9twiiq/E80wkEWBg90xMqrGuoYgGeVMofChrmhe9yGaVjkxkGBD44WP8faV1WxoLMUhCxf9XS0uHZpu0D6czB8bPZE0aUXHZZe4qrmUJVU+DMPI1zk0V7j57guncEhSXjukzOtA0zSq/A5KPGbnXG8kRTyt5pV7xTHt1BubSllU6UPXDYJuG19/5nj+b/3RDImsdlZPHwuTsdeBQpwePKPiOxTPMpJUsEki6+qDGJgZt6N98XwgA+Z1R9M0bl9Zzdr6Elw2gYD7TDdkOmvWRYli4e32xzIsr/aTzJpBbjSlFlzuYlhQ4eVD25pJZTVK3PZxx9ZMMeNH3ze+8Y1pL/sHf/AH0172T//0TxEEgWPHjiEIwmXbDWV1HM0t/uX5k7xwbACHLPHJGxdw1UW4X08szK3yO4lnVB7f1clgPEt9qZt71tbQVObmWF8MEQFRGPVeibG/M0JW06nyOynz2Ah6zLZu3TCLeBvLLu5p5pWTQ7x2egibJPK2VdWW1swcZbSoc2fbMAawqjaA03bmRhUY0wX36wM9/McrbfRE0iyo8OB1yKQVnbSikVY0usIpMpqBTTQF8P72t0fQDYNKv4vrFleM6+Qbu95KvzPfHed32awC33PQH03zRE78bkWNn1uXVxbMZFX5nfmMm8chEXDZqPA5GMgVxQZzrc5eh5zXbin3OpAkie+/eIqnD/dhk0Q+el0LWxdV8PVnjvHKySFcNok/uHkR6xomKwOXeewc748xklBw2qQZm1qaiNsuT+kJNhPM+Jr/4R/+YVrLCYIw7WAmkUjw/e9/n87OzvwBUFVV2OI8k8mQyWTyr8/HddPiyuJIT5Tnjw4Apr7Mj15tu6hgZnGlD2WFTudIiroSF0tyejKDua6OjuEkB7ujvP/qJpx2ia6RFFcvKGNlbYDDPVFCfgcZVafUayeW1lgc8tM1kiKj6iwKedEvomY3klTy+jRZ1ZQgn+hYazE3MAwDUTA7WAzAJokomoFdHn9z1HWd/3y1DVU3xdY6RlK8/+om2kcS7O2MsKm5FJdNoiecIg0sqfSyr8vURAq67Ww/2s+yal/BOpp71tbw+mlT8XdjY6klincOXjw+mA8+DnZHWVrlp6Fssojd21ZX8/rpYbKqzvrGEuyyyH3ranm9dRjDMNjYVIrbIfMP71jLvzx/ElkSeeTWRXQMJXnqUB9gnt8/eqUNv8uWn6ZOZjX+/ZW2gsFMNK0Q8jmRRRG3XSKrakX8JYrHjAczp0+fnulVcvLkSUpLS/nf//t/87vf/Q6Xy8UXvvAFbr755knLfvnLX+aLX/zijI/BYv6hT+jo0S8mWsixoiYwzndkYteQbhjIssi7NzeOe18QBOrGtHsbGAiCgSQISIKZwZmqASmV1XizbRjDMOsZCqX7C43DYm5iGGYAM5pZEwTzGHjt9BC6Ybbpjx4Do7tZEgWCbht3ra3B65D52u+O0z6cZMTIUh1w4pBFDMwprEhKoX0oSV2pi6kOE7dd5oYlM19bMV+Z+DNO1U3otEmT9J88DpkbJ/zWy2sD/OO71udftw0lUDWdeEZFEMw2Z2PCzptqXxoGxDMKA7E0fqdtRq6Dl4JZ65d76aWXxmVMzgdVVWlra2P58uW8+eabfOMb3+DBBx+kr69v0rKf+9zniEQi+f86OjoudugW85Tl1QGuWWhmYuyyyHu3NM34NjY2lVKS02CoCTpZOYXB2taF5XkX46VVPhpK3Rzri3NyMEHHSJI9nWGmmPLm8d1dvNk6ws62ER7b2TnpIgZmd8mmnGCWTRK4cal1I5qriKK5/0RBQBDg+sUVPLm/hzdbR9g15hgQRZEHr6pHEs3l7llbi89pQxAE0xk7kqInkiar6tyyrAopd4BJokB/LENWNQpqmlicP4XO75mkKuDE77IRz5j2KQtDHtbUl+TPeYdN5D1bCstHKJrO3o4onSMpjvbF6AqnZnRss8WsVWy99a1vZc+ePbS0tJz3ZxsaGhBFkXe/+90ArFu3jubmZvbv309lZeW4ZR0OBw7HzBpYWcxf/vDmxXzwWgWHLM2IOZ6qmb4mPqeMLIn4nTbetrqKfe1hNi+oyG8jq+oksyp+pw1RNB2xf39bC1lNz6t7jiSy1ATMqQRREGgbSlHuHV+Xo+kGfdEzxYDDiWy+GHQiWxeVs6m5BFkUZ3VaIKvqJDIqfpdtVrcbSyv5p9T5RDyj0ljm5n3XNJraI6LIbw/25qeDxh4Dd6+p5bZlleiQr1fQdQNBENjUWJpr9xVorvDw8aoWVE0nnMyi5eTpU7mC9LlCNK0gi0JRazMuhKqAk/dvaSSSVqj0O8/a+TUYT5NSdOpLph/wRFMqq+uCLKnyIYlCXm35j96yhFhawSVLyFNc3473xyn32tF1G4IAXWHzepJVdbpGklQGnEX7PVNZjaymj6vHulBmbY8XelqcLuXl5dx888389re/5Y477uD06dOcPn2aZcuWzeAILa5UZkpmPZZWeHRnJ+GkQsBl4/c21rG7fYRP/3gvWVXD67TxXx/ZjMsu89NdXaQVjeqAkwc21GGTRERRwDnGQG5JlY/XTg8jYIqYLayYXLAriQJ1Ja68QFql3zmuGHQiheofislgPMNjOztJZjVCfgdv31A3K2N49dQQr5wcQhDMp+JCMu5zkZ1tw7x4fJCukRS6kdMd0Q2iKQWf00Z9qZuQ3zHuGJgoaCeKAg2l7nyhaYXPgdsuIQgCB7pzbsmGwdJqP5+6ZdGsfr+L4bkj/ezpCCMKAjcvC7GytnAW9FLQMZzk53u7yao6TeVu7llTW7Cj54k9Xfz36x3ohsHVC8r41C2Lp7X+oNtGwGUjkkuqNI7J/Jzr+ra6NsATu7sY7WFaVetnMJ7mr544yGA8i88p81d3rqC+QI3PxXC0N8ZvD/ai6QbLa/y8ZUXhOtjpcnmFr2fhW9/6Fh/60If4kz/5E0RR5Nvf/ja1tbWXelgWFnn2dUYIJ01fp0hKYW9HhG88cyJfUBdPK3z16ePcurySdE6gryeS5lhfbFydzSh/cNMintjbRSSlcuuKyik1Zu5ZW8u+znC+s+Vy0vt4s3UkrxzbH81wuCdW0OtqJsmqer7Y2TDgpRNDrGsomfNFqrpusOP4ELpu0DGczNc9CYLA+oYShhIZNreUsr6h5JzHwF1ratjfFUbTYXWdecxomsbxviiO3BN810iSvmiaqsDMa4LMNJGUwp6OMHDGK+1yCmZeOTWUFx5sHUzSNpykuUA34eO7u/L79ZWTQzywLjmtIMImibxjUz0HuiI4ZJHVdcFpj21ptZ8/eetSXjs9RHOZh1uWV/FvL7fmGxdiaZXHdndOO7CaLqMK0QCHuqOsbyihwnfhsyqzFsx8+9vfnjQldD60tLTw3HPPzeCILCwujn2dYU4PJgj5nGxuLsUmifREUkRTCn6XDZsk4JiQJfHYRTAM3mgdJp5RqQu6uHN1NVlV56WTg0RTCitrAyyo8KIaBgGXHZssTVn8C2a9z6XIPOzpCNM2lKDK7+Sq5tKCN9CJHTY26eICimha4eUTg6i6wVXNhb+zKIAkCKi5m4IsCYzGMcOJbD7QuWZBGbpB/vXVLWXj/GQuBeFklpdPDmEYsKWllLIx7umCYH4XTc9pwBigaTrhpMLB7gjhVJanD8qEvA4W5hSsI0mFl08OohumcFl5bn12WRzXgju6XEY1zQYl0Sw6d0hzo+Vazo13NBAYPc46hpPs7gjjtklcm6tbOTUQN+1KXDauXVA+I9PL50IEWgcTZFSdkM8x5XkgYh6jhmHgd9lw2ET2d4b5+jPH0Q34xPUtbJyi49LrkNnScmHdmKvrguMCoInZXacsYRgGb7aN0B1OUV/qZn2BzqjzwT7mNxCEi782zFow8653vWu2NmVhUXRODcR55nB/7t8JbJKAXRaIpBSiaRUD84bxpXtX8vAP32AkqVBX4uLP37aC7+44SU84haIbZBSNSEph+9F+DnabMgKtg0nes6WBHScG8yqr7UMJ3n9N02XjPHy8L8ZzR858f7ssFmz73NJSxmAsy0A8w4IKD8uq/Be13V/s7c57vHSNpHhL0+TfQ5ZEbl9ZxbNH+hEEuHlZZb7o9ae7OvPmdj3hFAbkX/dG0pe8Xf3x3V357F5PJMWHtjbng0RBEHjryip+d7iPlbUBDMPgYHcUrxMOdkewSSIHuyN8+ddH+PZ7NiDLIj/b08VwwnzC7g6n+ODW5oIZqif2djEUz7KmLsiu9jAuu8S7NzdS4p0b4ooeh8xNS0PsODGITRJ4y4oq4hmVJ/Z0oWhmgJPIqmxbVMEv9vbkg56sql/09MZ0EEWBaFoho+q4HVMbKC6p8pkieDpUB5wE3Dbe/8PXiabMY+Jzjx/gyf+xFXuBmriZ5J41NRzuiXFyIE5d0MVDV9WzvyvCjpwK9KmBBG67xNKLOJ9vWV7Jr/f3klY1NjeXndXMcjrMeDBz//33T3vZn/70pzO9eQuLWWE4kUXVdZIZDaddYjCexeMYf3LHcg6xv/iDbYwkslT4HDhtEsNxhVKPHU03sMkinSOpvIhZVtXxOmVGkgrDiSzDiQxpRafS7ySaVi+bYGYoMd4zZThR2EPFbZd5x6b6GdvucPzMdpJZjaRS+KJeyF8rmyvOzq8raToMi7lgIZJSUDQd2yXq4FFzWZZReiJp2oYTNJWd8dZpqfByj0NGNwxCPiffeOY4sbRCd64DJaNoCIJANK0SdNsYSWaJZ9R8zWJG1SYVc/ZGUrQNJfA6bCyvCbC8JsDvX9cypwp/AVbVBVhVd2ZqqTucygcyMKqomx0nSzDVcTvTZFV9XOZjJKlQ5nUwFM+QUjSqAy6zcNdl4641Z8onBmNZoimFtKLlW6uHU1mq7JOn/nTdoCeaxi6JFzVdA2ad1RfuXjHuvaGOMFlVJ6VouO3SuHPxQqgOuGb04WHGj9ZA4PKZp7SwKBYVPgcHu6OkshqyKHDD4grqS93sbg+j6QaSKLAg5KU3kuaxXZ1kVR2f07yxL6zw8tzRfgzDwGWTWVHr51B3lL0dZt1LqcdOhdfBQDTDs7nsR8jv5GPXL7i0X3oMLRUe3mwdRtEMU8U4dG5jzplgcZWPQ7kMVm3QxfkkDhyyRHO5Jy8Zv6TKj64b+dctFZ5LFsiAmVEa9QprHUqQzmo8vqubVbUBblluTtE/f2yAXW0jAKysDaBoOge7o2QUnaxmGpcucNspzf0wqmZwoCsCwPJq/6RA5sXjA7zZOkJPJI0oZFhQ4aU+59c016nwOSjz2hnK3XSXVPmoCbjwOeV8ULt4GoayM8HiKh89OcVkn1M23co7IzxzpA/DgLoSF/evr2NJpY99neb+qgo4qQo4UTWDkTFBbqEaJsMw+MW+7nwm97rF5TOu5FvqtrO/yzTBdMgi9667vGpWZzyY+eEPfzjTq7SwuOwYjGdYXOkjmlLw2GXCKYXNQRcPXdVAbyRNVcBJhc/BUwd784V/sbTKsd4YQY+NaxaUEUkq1JS4yOTk5ZdW+8koGkG3ncFEhtNDCcq8DnTdQBYEjvfHCk7lXApCPifv2txI10iKSr+DkN957g/NALctr6S53IOi6Syu9NHX031en79rTQ3H+mIIAiwO+TAg/3q2ArKz8bZV1RzpjfKfr7XntUj2d0XYuqgcmySyu30kv+y+zjACsLDCQzytkFE1FoS8LCz3kVY07JKILAp59WivUyaV1fJt+4ZhsKstDMDCCi/DiSzXL67IFwTPdWySyDs21nOiP47bLuXdox+6qoHTgwl8TrmgEWwxWN9QQrnHQTSt0FzuwWWXTDuKXLalcyRFXzTNTUtDNJS6yWo6i0I+sqqOKIDXYe4zuyTQH00R8o8PaIYS2XwgA7CzbWTGg5mRZJal1T4SOemJ0Wvg5cLcyiNaWMwCB7oi7O0M43fauHlZCLdd5j9fa+P108OEfA7+x40LcdtlBmMZRpJZvA4Zl01C1w0OdkfoHEkxlHBx3aKKSRonbruM1yFTHXBRnXvC8jhkPA7Z1FrI6S14HTJep5yfWxcFgdIiFKce7omyuz2MxyFx09LQeU1jlXrsMzameEbl2SP9xNIKa+uDBbu7wKwbOZ8LaHc4xYvHB4gkFRAg6LJz3eKKcT5ay6ovro5nJhFFgWXVfhpK3SSzGvGMSnc4xb+93AoCHOuNURlwks5q7O+OgAHLa/yUeBzohsGSSj8Om8RIIsuLJwY51h+j0mcKqtllcVyRpSAIuO1SXjW2OuhidV3grEaIlzM7jg/w2K4u7LLIR7Y2s7DSh9MmTepq8jjkWe90SmZV9naGiaYVDMOcEhNEgSO9URTNoDbowm2XGEkq7Mt5tLntMs3lHiRRPDNd5hDwOSefcy6blPfsAoqiC+NxyHjs5n9A/v+XC0UfzaOPPspPfvIT2tvbyWbHz7Ht2rWr2Ju3sDgv+mNpfnfYTP32RzOIgkCZx87P95gZgN5Imh+8dJq3rqxGNwwM44w1wL6uCLvbwwAMxDIEXDY2NZcSTSv0RTM0lXtYVu2jpcJDMqsxnMiypMpHc7mHCp8DVTOIphVW1Qao9Dv5gxsX8U/bT5DIqNy2onLGnyJHElmeOtiXH79h9F+y1PEzh/vyT5ZPH+qj0u/Md95cKLpu8MSeblJZlZ1tIwiCwIbGEn6+t4uPbGu5bLMPgiBw15oath8d4NjxAar8TnYcH0Q3DBZXeukOp2kdjOO0SQgi7G4Pc9eamrxlwXWLTEXgWFqlOuCkcyRFc4WHGxaHJgUqd62p4bmj/Wi6wXWLKuZsIBNOZvnW8yfzN/2vPXOcfxoj93+pee7IACf64wA8E+uj0u9ABHTDzJDphoGAwJP7uxnMmUo+ua+bD29rodRjZyRp3juDLnvBAm6PQ+atK6t49dQQDlni5mUzr/C9rj5IOGnWZzWUull1GbW+Q5GDmW984xv8+Z//OR/4wAd44oknePjhhzl58iRvvPEGn/zkJ4u5aQuLCyKeVsd5mMTSCqquj1tmOKHkVFg9NOY6IVOKxsR7YzyjYpNEbl9ZPe59p03irjU1497zOuRJgUR9mZtP3rCQpKIW1KQ4X5JZlRePDeJxSGxdVEE8o44rhoyllSk/G0srdAynKPfazzqldKIvxpHeGKvqAucVfI2a8IGpDZPIqBcdzCi6TiqrMhjPmCqodhlV1TkwmODpQ33clPO7ef64aTZ6/aKKKVVSZ5uaoIsHN9XTH0uj6wZZzTwG3XaZRSGZkUQmH4w5ZIn3Xd2Y7wbRdSP/e3odMiGfk/UNQWpLJtdaVAWcPHRVYZn7uUQkpZBRdMIpBVFgkiTCWLpGUjy5r5uGMg+3ryx+JxOY3kejGAbEMqopFjcmK5jIquPOQUUzfbLcjvHZpVRWxS5Pzs40lXvQDXDI4riW/plClkRuXX7h8irFpqjBzDe/+U2+853v8NBDD/Gv//qvfPazn6WlpYXPf/7zDA8PF3PTFhYXRF2Jm3Kfg8FYBkGANfVBKn1OfrWvh3BKQRIFblkWYlGlj13tIyQyGjZJYGVtAIcssr8rQkbRcdjEi56+eO3UEC+fNDVQyn0O3rmp/oILVLOqzp8/fiDf9bK3M8JHr2uhKuCkN5LOf9dCRFIK//V6O6msGbDdubqahQXqS3a2jfDVp46i6gY2SeDP3raM5dXTe3pbUxfMZ8RCfgc1wYsXanPIEklF4+RAgpSiY5N1dpwcJKVo9EXTvJZzfT7cYxYUv3xyiL+8c/lFb3emkESB1XUB9nZEqPQ70HTzhrKs2o8kCrx6yryGrq0PjGtrFUWBNXVB9nSEc9kAgacP9XOiP3HZFW3OFNU+B8PJLP05a4+pAu7eSIoP/esbxHLBxYHuCH9025Kij29NfZCeSC+GYZ7L9SVu1jaU5OUNaoJOKv1O1tWX5HWPmss9hHwONjeXjtnXwYLimZpu8OjOTnpzRcYbGksmGVbOd4oazLS3t3PNNdcA4HK5iMViALz3ve9ly5Yt/NM//VMxN1+Qpj99cta3aTF3sMsiD26spzucwueU8084f/v21ezvilAbdNGcKyR8z5ZG+qIZSj32vLfI+65uYiCWocLnuGhPoEO5myzAYCxDfyxD7QXe5E8NxPOBDMCbrcN88saF/N6GOrrCKdx2ecp2ztbBBKmciq9hwOGeWMFgZseJAdTcnL2iGbx0fHDawczK2gBVASeJjEpN0DUjXUVpRcNtk3JPv2Z240BXhJLczWBvxwgCIOYMFg90RUhm1cvK1+empZX5ritBIN/5cvvKKna2jaDpOhsbJxeF37g0xMKQlx+8dBpf7jg8PZi47L7fTNEVSVPqtmGTRKSzTB8+d7Q/H8gA7Dg+OCvBzNIqPxVeB7G0eXzbZZG19UFqgk5SWY3aoNmaffWCMprLPWRVnboSF4Ig8Olbl5x1X4PZYj4ayIBZC2cFMzNIVVUVw8PDNDY20tDQwKuvvsqaNWs4ffr0RXk1WVgUE7ss0jRhWifgtrN10fiLg1mgN/4U8jrkGTM2LHHb87ojsijgd174ekM+J3ZZzHdWjU7hyJJ4zumgoMvGqcE4w4ksbrvM6rrCAUr1hJbRia/PRbnXcdFTS2OxS2LeJRrA55A42Z+gO3fRrysxDfRG23T9TvmyvNFPFcBumOLGNkp9qZuGUnf+GPI4pFn35potyn0ONMypVAGh4JQawKIKb15AESB0kXos50OZ1zFp+ifkm5xBGlucPsq59rXXIY87v0suUoBuLlLUM/emm27i5z//OevWrePhhx/m05/+NI8++ihvvvnmeYnrWVhcidy2opIXjg2SUlTW1ZdclGBeqdfOH968iJ/t7sJll/jgtdMXq0qrOl67TEbRcdslVE0vuNzb19cSSymcHIiztNrPnRPqgmYbURS4d10tL58cRBQEtrSU0RlOk8r5Yi2t8vPgpnr+7+sdALx389yvHZnIvWtr2XFiMG9cONf9qaZCEgUWh3woqo4siSytLtzxtrG5jN/f1syvD/RS6nHwV3fND7Nil13inrU1vNk6gkMW2bqo/FIPadYpajDzne98Bz1XPPnJT36SsrIyXn75Ze6++24++tGPFnPTFhaXDW1DCfqiGRpK3QWfuqbCbZdntEBxeY1Zw+OQJSpzNQXRtMLR3hgeu8yyal/BDp+sqhPyO/N1CGrhWAZRFPnQtpZpjeV4X4yRpMLCkLcoLeejVPgc3LO2lqyqs7tjhGjKVF+WRAGXXWJhyMcXJyidXs4ouakyA1hR4z9npqXEY59UbD4fyKgau9rNacKVtQEU1cDvtFHhcyCLAvazTFO+75pm3nfNpbWtuFjSisbB7iiSKLCyxo8sidSVuKkrmVln67lEUYMZURTz89EA73znO3nnO99ZzE1aWFxWHOuL8eS+HgBeFQUe3FSfDyRmE0XT+ckbHXkl0e5IiusXV/Dj1zvynS+D8UzBefZFlV72dIYZjGVw2iQ2Nl2ccN/OthFeOGZ2EL3ROsx7tjTma46KxeO7O+kOp3mzbZhoSsXjkPJKzXOJn+/ppn04CZiaM++cB51IF8Iv93YTVs1j5tRAgrvW1LCrfTinsivgugynC2cK02Osi75csXPbUIJ71s7Pwu7zoeh7fGRkhO9///scPnwYgOXLl/Pwww9TWjr7Lr8WFjONquln1eYYlcoHs+OgbSg5a8GMphu5AleBcFJhJKnk9CzMcS2v9hPPqKg5GfzWoQTXMTmYcdokHtpUz1A8Q8BtxznGJC+eyuJ1nV9mpXXMb5JVdbrDqaIGM2lFozucJpVVUDUDhyxQ7rWTyKjE00q+TkbMBTZ6rohZnOFA52LXq+lGPpAB07tprKLvlURvJIPTYx4z7cNJ2ocSSKJIuceGKArjPJeyqo4sMu7BOp1VscvjH7bPdS4XA1NjhvMKqhNZLR/IgHkuG4Zx2eomzRZFDWZeeOEF7r77bvx+Pxs3bgRM7Zm//uu/5he/+AXXXXddMTdvYVE0FE3PPyWXe+3cu662YE1Lpd+Z9xICqJqlQGZPR5jnjw4giXDr8ioay9wMxNKcHEggiQI3LglR4rHzZtswrYMJbJLIg1MYQmq6wZP7ezg1kKDEbeO+dXXousFH/uNNesIpyjwOvvHQWprKvQU/P5FKvzN/U5ZE4aJN8c6FQxZpH07y+qlB+qMZdGA4qeB32fjKb46YY/I5uWlZCMPAdNsGbloWmlKJ+Hw52B3h2cP9GMBNS0MXpEA7+lsN5ETVgm4bzrPoqcxngm6Z0dt5uc9BVcBFdzhFXyyDAKyqM6dUv7n9BC8cG8AhS3zyxgVsbCzh758+zputw3gdMp+5bTFLq/w8ub+HE/1xAi4b962rpaSIU5+jdI4k+eW+HtKKxvqG6bdSu2wSfpct76Rd6Xde8YEMFDmY+eQnP8k73vEO/uVf/gVJMp8eNE3jE5/4BJ/85CfZv3//tNfV1NSEw+HA5TKr1D/3uc/x4IMPFmXcFhbn4mB3NH9DHoxneaN1mJuWThaUWlMXQAB6o2layj00lBV/TjutaGw/2m+qE2vwu8N9vGdzIx6HTMjnQJYEDAxODcRJZjQ8dhlRFDjSGyu4viO90bw670hS4ZVTQ+xqH6En1+o9lMjwj8+e4O/fsXZa47tmQRkOm8hIIsvSKv+MdjAVIqNodI4kcdkkDMz2ZiH3/vHeGIIoUOq28/TBPgTBVGUFeOZwP0ur/Bc9FaXrBs8e7s+3rZvr9V1QFuC+dbW83jqMYRhsbCq9Ym9id62t5diwacOwqamU3nCKjKpjlwQETHf1Iz1Rnj9qTmemFY0fvdqGYZiyBGAKNf7bK2188NrmvDpvJKXw8skh3ra6eqpNzxjbjw7kJQ92to2wtNpXsLtpIpIo8Pb1dbzZNowkClzVbM1yQJGDmRMnTvDoo4/mAxkASZJ45JFH+Pd///fzXt+Pf/xj1q5dO4MjtJivxDMqe44NIAhmW+P5tNz2RtIc7onic8qsaygpeDObKC0wldKAIAisqQ+y5rxGb6JqOjvbRkhmNVbVBaa86aeyGm/mTOvWN5YgiwIZVaMnnEYQBBrL3OiGTlbVGYhnsEkCqmZgGAaKppPIqsjSGV+X7nCKI71RAi476+qDBb6bgaGPf1M/D6UFUTRvQMUkkTEtDDKqRkbRCCcU4hkFAzOQEQXzBndyIE59qZvR4Y/9rjOlHmHk/pv4HpitxDvbRvL7ThQY93pim7/HIXPjkpmXqp9r+J02blpaNu49VdNIKxoCoKg6OrnjO6PmvM1sGIY57ZTIqsiigK4bGBP2zujrUwOme3nI57xoLydV1fnxzg4GYhluWhpidV1w0jEx+Y2pCbht3Lzs8lXjvRQUNZhZv349hw8fZsmS8aJEhw8fZs2aC7m8n5tMJkMmk8m/jkajZ1naYr7yi71dJA3z5t8+nOTdmxun9blISuGxXZ15vYZ4RuWGAjePFTUBjvfF6QqnCLpND6aZ5neH+zjcY2ZLjvTGeP81jQWDssd3nykGPD2Y4D2bG8goOj05Zd+GUjeyJLK3M8xAzJTBL/XEePuGOqJplWhKQRAE7LKZLXlsZ2c+i5DKamxpKeVob4z24SR+l43NzWVsairljbYRBmJpAi4b//OmhTP+/S8UwzB4bFcng7EM+zojCBhE0lkiKRUB0IGMaiCKkFR02oaS3LBE5KalIXTDYHvuaf7GpRUzUiA8Oq33bE7t9YYlFXlRwMd3d9EfNa9XrUMJRAEGYtn86/duabxisy/ng9cpEUmpjPoxjiQVmsu8uO0SfdE0kiiwtMrP0iovsiSQyKjIksjyaj+LQj6OlMfyTtpXt5TRMZzk53u7cwFtBN0wWF0XvODxffP5k7x0YhAwM0Nfvm811y+q4Bf7usmqOmvrg7PmPD9fKWow8wd/8Af84R/+ISdOnGDLli0AvPrqq/zzP/8zX/nKV9i3b19+2dWrV59zfe973/swDIOrrrqKr3zlK1RUTJ5j/PKXv8wXv/jFmfsSFlNyPmrKrV95W9HWXWj9w3EFp8cMZvqjmWkX9w3GM/lABsh1R5hTBdG0gstuCo/ZZZEHNtTRH0tT5rFjL4IYWXc4jarraLkr9EjSLFbtGE4Qy6gsrw6g6ca4YsDhRJaRpILPaWNTUymCAIIAncNJHLJETdCFgBm0nR5MUB1wEvLZEQWBjKIxEM/kAxkwu55kyfyuaUXDIYv5m+vPPnktvZEUFV77uOzrpSaj6gzFs2i6QUrRzH0vigRdNnN6SdNJ5nyzfE4ZQRB495Z6yr3mzWS0hX0mVIhHWVUXyGufjK5X1XT6oxnTd8kwGIhl0HUjf5wOxbNkVH1cwfWFkMh5cF2MTtHlyIm+GKIo0FLhZWdbGEkUEHRzDlHVDUaSWTY0lrKqNoAkinidNoaSCtcsKCetqNglEafddJu+d13tuOP7VOvwuMxcdzjN6roLH2vrYALdMHJF4ALHB+LctDTEx65fgKrrsypmaBim59PotWy+UNRg5qGHHgLgs5/9bMG/jSoxCoKApmlnXdcLL7xAQ0MDiqLwF3/xF7z//e/nV7/61aTlPve5z/HII4/kX0ejUerrCxc2WsxfKvwOYrlDqrbENe36hEq/E6dNIp0TVmssdaNoOj/dZbb2Om0S96+vJeCy8f92mk//XofMAxvqZlwvxS6L7GobQTfM71DmtvHPzx3nv17vyNdMfP2d66grcdE5ksqPv8RtG1co2lDqprHcQ9BlI5wrGlwU8rIo5MPjkEjkEplLqvxU+scrBTeWnqnxKXRTrTpPld/ZwGmT8p5TXoeMIMBAPEMya5DMmgZ/5tSPgSgKVAdc+UAGZjaIGcvE9cqSSFbT2dU2ApgBz+JKH11j9uXFBjI720Z48fgAhgGbW0q5ZsH8EFP70pOH2NGWQBAE3rqiio9e34QkCmYgboDPKVPqseN1yMRzn2ksdU/6Tac6vutL3IiCkDdibbzIWreqgDNf6+R1yiypNIvlJVFAEmcvoNB0g5/t7qJ9OIldFrlnbc280aYpajBz+vTpGVtXQ4Opp2Cz2fjUpz7F4sWLCy7ncDhwOGZPotri8uTuNTW0xcw25PNJD3sdMg9uqudobwyfU2ZFjZ/DPTG6w2b2I61ovHZ6mNqgi8FcsBDP1WfMtKOsqus0lnlQNJ0Kr4NwSuWxnV35ep03W4c51BXhnrW17OsMY4D5FCqJvH1DHfs6I0ii+f1tkshf37uSJ/f14HFI3LeuDrss8sW7VvLUIVMN9Z611Yii2dV0vM/s7BjNUsw17ltXy/6uCJubS1FzwWhfPMOutjA2yVRMzaoGt66o5H/euOiSjFHTDWRRoCFXs+OURe5YWcWR3lh+X14Mum7w0onBfIbhtVPDrG8ouegA6XJg+9F+ZKcHwzD49cFePrSthTtXV/PSiSFsksDdK2tw2iTesamewz1R3HaJlTUBxJzW09jzuxBVASe/t7GO1qEElX4nCyqm16k3FQ2lLlbVBEhkVZrKPGS18yiQmUFODybyjQtZVee1U8PUbbCCmXPS2Di9OoVzkUgkUBSFYDAIwH/913+xbt26GVm3xeww2wafTpvEpqYLuxGXeuxcveBMcaFdHl+zYJcmK4zapJmva9B0g5MD8XyWxCYJSKJZx2Jgfke3w5zy2jihoNZpkyZ1OfRGUrQPJ3HbJcLJLCG/k/oy9yTV3pn2SLoUmPvf/P6abvDs0QFODSUwDJAlAZskouk6gmEQTSl5z5zhRDbvWnx1S1lRW3RFwRznqEO4LAo5UcKZqb8SBMYVdptZgPlSfyOQzHUCeR0ybpuAohnYZAFJEMlinjPRlEJ/LIPbJpEJ6bjs0qTzeypqgq4ZcW8HcNpkFledsVgoxvViOky6bsnzp7W/6N/kRz/6Eddeey01NTW0tbUB8LWvfY0nnnhi2uvo6+vjxhtvZPXq1axatYrnn3/+grqhLCwuhAUVXlbVBrDLIlUBJ9cuLGd5jZ8lVT7sskhdiYvNzee+OJ4vR3pi9EfTDCWyHOszg5rNzaUgCBgGtJR7qJ7mxTaczPJ3Tx3jcE+UnW0j/N1TR2d8vJcrAgZH+6KMJBTcdhHNgHhGo9Rt51BPnK/82tSaMZVVOznaG+Nob4yf7u4q7rgEgdtXVuFxSLjtEm9ZWTWjom2CIHD7iiq8DhmXXeItK6qKNoU224z1XlpTH0DR4fXWEUYSCoPxDDtODBLPqDyxp4uT/XH2d0V46lDvJRvv9YsrKPc5cg8eJZdsaqehzM26hiB2WaTC5+D6RfPHWbuomZl/+Zd/4fOf/zyf+tSn+NKXvpSviwkGg3zta1/jnnvumdZ6Wlpa2L17dzGHamExJYIgcMvySm6ZMI10x6rialHE0sq4mpTuSJqaEjfv3XIm45nIaDhkiQNdETRdZ019YauB3kh6XGHzaD3NlcDxgTjprJ57ynaZGRlMj6msqhNOKSSzKpIo5B20wXyqVzS9qAHAggrvRU9hnI2WCi8tRVz/pWJppZ+1LWe+V+tgAgwduywiCOZ5Ye6/M9M5Q/FsoVXNCiUe+7jz9lJyw5JQwQ7NuU5Rw/R//Md/5Lvf/S5//ud/Pq7bYePGjeclmGdhcSWyofFMYFLmtbOk0seSyjNPpFUBJwGXjX969jj/65eH+N+/OsL/+W3hjEtLhXecyeXahmDRxn058czhPn61rxdV0wknzZvZitogXqeN/lia/phZJOy2yzhkieZyT/6zLRWeeZPJmG80lJ0J8heGvKyo8qFo5pRhJKngsUtU+ByUec9MEy6pKuykbTE/KHoBcKHaFofDQSKRKPAJCwuLUT5y3QIWV/oIpxSuX1yB1ylz09IQDaVusprOopAPTTfYkdOvALMoOJLMEnCPr/WwyyL/370refZIP16HzI1L5k96eSoyqsa+zggA1y2p4PRggretqubGxSG++fyJvKfRggpvvnX/rjU1HOuLIQiwKGTd/C5X7lhVQ29KQBBgcchHx0iS+lI3zlgaQRAp8diwSSLv2FjPif44brs0LzNUFmcoajDT3NzMnj17JhUC/+Y3v2HZsmXF3LSFxbzg+gnp4JGkwr7OCFlNx22XaS73IArQG81gAOVe+5SOwf2xDMmshqYbRFLqlMWtezvCHOiOEHDZuHlp5ZwwMuwJp/j10TACAtcvqaDS78QmijhsIhlFZyCWoX0oyZP7ejjSE+XkQIKaoCtfTzJaGCuJAsuq52YH15XExP3kc5heRcMJBVGAmlwWsn04yb7OCG67RJnXUXR3dotLR1FzqI888gif/OQn+fGPf4xhGLz++ut86Utf4nOf+1xB7RkLC4uz8+T+HtqHk/RG0jy5r5u0orG40odNErFLAotC3oIdK4mMyq/29dAbSdM2lOTXBwoXQ/ZEUjx7pJ/+aIbjfXGePzZQ7K80Izy5v4fucJqucIon9piFu6IocNfqGkq9Nna3h5Elgf1dEX6xr4eQ105XOEnI7+CuNTWWyu4cJ6tpRFIKmmGg6gaD8QyRlMKv9/fSF01zejDBUwcvXQGwRfEpambmwx/+MC6Xi7/4i78gmUzyrne9i9raWr7+9a/zzne+s5ibtrC4YFJZjdahBH6XjdoZas2cKWJpJf9vRTOIp1WCbju3r6wa874+SYgrpWjjlH3jGYVCxMcUwE7c3uVMRtFx5hJNo9knSRSoDbpYUxvkMVsXNtEUQdM18DpslHgdPLixfkY7iCwuDQOxDHZZpEw2DwLVMAUSs5pGOKlgk0SCbisrM58p6lmcSqW47777OH78OPF4nFdffZVHHnmEurqL0IW2sCgiaUXjv15v5zcHevnJGx3s6Qhf6iGNY92YbqXmcg9lXjur686Iqy2r9hcURSt128epmK6douupvtSdL5oUcyaZc4GxGh6r6wL57NQv9/fw3NEB03cqZwdRW+JElkVW1QasQGaesLzaR3P5mZqYaxeUUeK20z2S5kR/nMM90XmksWNRiKJmZu655x7uv/9+Pvaxj5HNZrn77rux2WwMDg7y1a9+lY9//OPF3LyFxXnTFU4RSZ3JRhzuibL2MrqhX72gjOZyD1lVp67EhSAI3LS0kiVVfnTdoK6kcCZJFAXuXVtL50gKh02kcgpTO6dN4sFN9fSE0/hdthm3aCgWtywLEdVsiLlsDORcsftNMftrFpTSHU7zwIY66nMS9vNFxt0CJEniB+/byK8P9uJ3ydy4tJLucIq6UhcBt4wsiaiXSHXXYnYoajCza9cu/uEf/gGARx99lMrKSnbv3s1jjz3G5z//eSuYsbjsCLps4zxZStyzczOPJBV+daCHaEphVV2AaxaUMxjP8OsDvSQzKpuaS1nfYGZTxrZYA7QNJfjd4X4Mw+CGJSEWhgp3bYiiQMM0PGYcskTTmBbluYAgCPkgZRS7JNIbTfHG6RHTEsLn4FBPjKqAa1wLtsX84Acvn+bRnV3YZAFVM9iyoAy7JBJwmedwiceaZprPFDXHmkwm8fnM9O9TTz3F/fffjyiKbNmyJa8GbGFxOVHmdXDHqioay9ysqg1wwyy1MG8/1k9vJE0yq/HaqWG6wil+d6iPwVwH0vNHBxhOTBb9MgyDJ/ebQVAsrfKbAz2oml5gC1ceqm5weiCBgFkA3RdNE05k+NX+nry/lcX8oGM4wX+81k5KUYmmFP7+qWP4nDbuXltDU7mbZdV+3rKi6twrspizFDUzs3DhQn72s59x33338dvf/pZPf/rTAPT39+P3W+2PFpcniyp9LKqcXY2RjKJPeK2RVjQGYmkUzaDcayejTnaWNwxQ1DM3ZkUz0AyjuCf2ZUxG1TjYHUUAmso8CIJAqddOWtUAAR2zQFo34BLZ41jMABlVY1f7CAKwsjZALKWOC1AzuYC+scxDY5mVhbsSKGpm5vOf/zx/9Ed/RFNTE5s3b+bqq68GzCyNZRRpYXGGq5pL8+Zz9aVuGss8SJLAqZzLbW80TbCARoYoCmxpOWNMuKmpFId8+evCFIuf7e7i+aMDbD86wDNH+rlpaQhREPA5bSyo8CCLIltayqxi0DnOL/d25/fzz/d0s7w2kLfyEASBu1YX12rE4vKjqA9wb3/729m6dSs9PT2sWbMm//7NN9/MfffdV8xNW1jMKZrKPXxwazPJrGmAKIoCimqwrr4EVddx2SSGkwq1BQTxNreUsbTaj2EYBGepxudyJK1odIfT+dcdw0n+500LuX1lFSICPpeMgEDAatGd8/RGMjhzNTDtw0lUTeeb717PrrYRPA6JJVVW5v9Ko+jZ6KqqKqqqxs9VXnXVVcXerIXFnMNtNz2CRqkKOImkFOyYSrYlZ7kJW8qm4JDN32gkaXajlfscyJJoTTPMQ4JumdGwdXQ/A6xvLCw5YDH/mfdT66NO3Z2dnfj9ftTo4Dk+YTEX6ezsBKCjowOA9vZ2gsHgJRzRxbPMp5MJp0kpGssr/Qz39zJ8qQd1mTFxf2+uEtjXkUAQBNaE7PnjwmJ+MLq/15XrtEWt/TzfiUajwJn7+NkQjHle1v/GG29YmSALCwsLC4s5yuuvv86mTZvOusy8D2ZGRkYoLS2lo6NjznVQxdIK//7ymRZ2l13kg1tbLuGILn86OztZsWLFnNzfFufP+exvRdP53gun8xpCkijwketarGLgOcTFnt8dw0l+vqc7/7om6OS+9ZYi/eVKNBqlvr6e4eFhSkrOPoU476eZJMns7PD7/XPu5iY6VFxeL6PhptshzbnvMNuM/j5zcX9bnD/ns79VTcfl9aLlPKpkUSDg9yNawcyc4WLPb78q4/RE8689Prd1nZgDjN7Hz4ZlTHIZ43XIbFtUjigI2GWRW5ZVXuohWVjMWWRJ5KalIWRRwCYJ3LK80gpkrjDqS00xTEEAn1PmusXll3pIFjPEvM/MzHU2NJayrr4EQTD1EyyuHJr+9MnzWr71K28r0kjmDytrAyyv9lvn0xXMLcsruXFpyJpenGdYwcwcwHp6tLCYOazzycIKZOYf1jSThYWFhYWFxZzGysxcBiiazo7jgwwlsiyp9LGqLnCph2RhMa/oj6V55eQQANcuLKfc67jEI7KYabrCKV4/PYRNEtm2qMISkrzCsIKZy4CXTw6xpyMMmK2DQbeN+lL3pR2UhcU8QdcNfra7i0TGFN4aiGX48DZL4mA+kVY0fra7i6xqGkxGUyrv2txwiUdlMZvMSjCTzWbp7+9H18c7Azc0WAcbQDiZHfc6klKov0RjsbCYb2Q1PR/IAMTSKqqm5yXwLeY+qayWD2QARiZcUy3mP0UNZo4fP84HP/hBXn755XHvG4aBIAjTkiie6xiGQVrRcdrEKbsnllX7OT2YwDDA45BoLLOyMhYWM4XTJrEw5OVEfxyABRUe9HktFXplMBq82GWRgMtGXYmLzpEUAMtrLO2YK42iBjMf+MAHkGWZX/7yl1RXV19xrZCprMajuzoZjGUo9zl4YH3tOCPBURZX+gi6bAwns9SXuPE4rNk/C4uZ5G2rqjk1mOBIT5Tj/TH+ZftJblxaweq64KUemsUFsKdjhF09vQgI3LQ0xKq6APetq+X0YAKbJNJUbpmLXmkU9a65Z88edu7cydKlS4u5mcuW3R0jDMYyAAzGMuxpD3PNwsIiTSG/k5DfOZvDs7C4YhBFgcYyN0/u6wEEdMNg+9EBVtQErDbdOcjLJ4ZwuL0YGDx3tJ8VNX5kSWRRpe9SD83iElHUSePly5czODizLtU//OEPEQSBn/3sZzO63mIgTshEXWmZKQuLywkBGHsKCrn/LOYewpg9Z8WiFlCEYCYajeb/+5u/+Rs++9nPsn37doaGhsb9bdTa+3xobW3lu9/9Llu2bJnpYReFtfVBaoJmtqUm6GRdQ/Ci13miP87+zgip7PyvN7KwuFBUTedgd4RD3dEzXkyWncG84fol5ZP2Y1bVOdAV4WhvjHnun2xRgBmfZgoGg+MyEIZhcPPNN49b5kIKgHVd58Mf/jD/+I//yGc+85kZG28xcdokHtzUgKYbM5LKfunEIK+fHgZgZ9sw79rciF22OjIsLCby873dtA0lATjeH+OetbWAZWcwX1heE+CqxXX5/ajrBo/u7KQvmgagfTjArcstL7sriRkPZp577rmZXiUAX/3qV7n22mvZsGHDWZfLZDJkMpn86wvJAM00MzUnf6wvlv/3SFJhIJ6hNuiakXVbWMwX0oqWD2QATg0kxrViW9mY+cHY/RhJKflABsxrpRXMXFnMeDBz/fXX5//d3t5OfX39pCcgwzDo6OiY9joPHDjAY489xgsvvHDOZb/85S/zxS9+cfoDnkOUeR2EkwoANkmwFC4tLArgkEV8TplYWgUg6LZZmjLzHLdDwmWX8tPv5V77JR6RxWxT1G6m5uZmenp6CIVC494fHh6mubl52tNML774Iq2trSxatAiA3t5efv/3f5+enh4+/vGPj1v2c5/7HI888kj+dTQapb7+8pOgaxtK8MOXWlE1nXdsqp9Wi+htyyt52SGRzGqsrQ/itVq4LSwmIQgCD6yv49VTQ0TTCroOT+zpYuvCcsom2BgMxDK8fNJsUrBsDuYuDlni/nW1vNE6gk0SpuwaBXjqYC/PHemnxGPno9e1EHBbgc98oKh3w9HamInE43Gczum3IX/84x8fF7TccMMNfOpTn+Lee++dtKzD4cDhuPwvSH/7myMMxk2Vyr9/6hj/8p71BTVoxuK0Sdy01EqdWlicixKPnbesqOJ7O05NaWNgGKbNQTyjFvy7xdwi5HfyttXVZ13mWF+MH77Uim4YMJjgm9tP8Lk7ls/SCC2KSVGCmdHMiCAI/OVf/iVu9xlFW03TeO2111i7dm0xNj1nGMlNF4E5xx9JKucMZiwszkbTnz55Xsu3fuVtRRrJ5cG5bAyymp4PZEb/rmg6NmtKat7SHU6ZgUyOgZhlezBfKMrdc/fu3YD55LN//37s9jNpPLvdzpo1a/ijP/qjC17/9u3bL3aIRSWV1YikslQFpi7OXd9QwhutZmfSggoPlf6ps0kZVUMUhCv6Ins2WwhF09ENA4csXaLRWVyOTLQxWFrlQ5bEvAy+gEBzuZsT/QnAlMC3jfm71SlYXKY6by/mfM6oGpIgjKuRiiSzOGQRp11mXX2QEreNoXgWQYBrF5Zd9Pe4kpiOPQ+Y5q5ZTcdpm71rclGCmdGOpocffpivf/3r+P1Xjk/Gr/f38De/PYKi6qyqDfKt9xbuvnrk1kW8dHKIjKJx3eIQolj4wvnKySFePTWELAq8ZWUVi69AhctUVuOxXZ0MxDKUe+08sKEun8U63BPl6UN96IbB1S1l1FrT3xZjGLUxEARoKfewu32E548N0BtJIwhgGBBNK1T4HNQGnezpCLP9aD8CAjcsqWBNffBSf4V5ydjz9poF5VzVXDrp/atbytjcMv1g4+WTg7x2anjctfIfnj7Kq6eGscsiH79+AVcvKOPmZZU8f3SAEo/trLU1FuNJZFQe29XJUDxLyO/ggfV1BYOV/lg671LfUuHhrtU1s9JBWNRHjx/+8IdXVCAD8O0XTqHknuz2d4X5zYHegsuJosi2RRXcsrxqyifAWFrh1VNDAKi6wXNH+osz6MucPR1hBkZtIeJZdreH83977mg/mm5gGPDyySGSWXWKtVhciYiiwMKQlwUVXlTd4IVjg6iaQetgglMDCU4PJhhOZPE7bTx3ZIDtR/oxDPJ2B5rlSFkUnj0y9rwdzJ+3F3o+R9MKr50yM92j18pDPRFezb2XVXX+87U2OoZTdI6kWBDyUupxsOP4zCrUz2d2tY8wlKvz7I9m2NsRLrjcKyeH8tO7pwYSnByIz8r4Zjwzc//990972Z/+9KczvflLzsQA9GKybIIg5J8ezdcXvq65zMTfVBj3tzOvTAGt2RmTxdxj1M5AyL0QRs+rnDj+6Puj55slR1M8Jlm95M7qsTYF5r6a3k4QJ1wrRUFAnPBZURQmXR8s4cTpM3GfTZVtmfibztZvPOOZmUAgkP/P7/fzzDPP8Oabb+b/vnPnTp555hkCgcBMb/qy4H/etBBJFFA0g/UNQW5eVpX/WzKrsq8zzKmBOLpucKQ3yoGuCIqmF1yX1yGzbVE5oiBgl0VuWXZldjKtbQjmxQGrA07WN5bk/3bLskrssogkCly/uAKXzSqitiiMLIlc3VLKno4wGVWnucLDoiofC0Ne7LLIrSuquGV5JbIoIIsCNy+rtEwoi8Sty0P58/aGJSFcdin3/oTz2T69p0GvQ2ZjYwnH+mK0DSa4cUk5S6v93LgkhCCAyy7x/qubqC91s6jSS38sjaLpXLfYmmaaLusbSqgKmF3ItSUuVtcVvodvXVhOwGVDEMw6tQUVs+NgPuNX/h/+8If5f//Jn/wJ73jHO/jWt76FJJkHpaZpfOITn5i3008uu8x96+pQNI0yr5O0ouG0SaQVjf9+vYNIyuxiEgUYzWAf6o7yexvrCkawGxpLWVdfckXLrztkiXdsqi9oC2FOISzAMMwnhc7OxCUapcVc4KtPH8urA3vsEj/60Ob830bPr+XV/nGvLWaehSEfCyq8+fP2zPvjz+fpoqo6j+7sYihuTkc/vqeHP36Ln4/dsIAPb21Gzk3lp7IavZE05V4HoiDQMZwk5Ju+TMiVjMsu8dBV57bnKfXY+eDW5hmz8ZkuRa2Z+cEPfsAf/dEf5QMZAEmSeOSRR/jBD35QzE1fMo7nLAdskkR0jMR2fzSTD2QA9nZE8v/uCqfGtYhOxEyPWhfWqU4MQRAsiXqLc9IfTdE+nMxPR54eTJBIK7np3LHTG9b5NhtMdd5eyPncMZKkJ5LK77t9neH83+QxNYndkRSxtJqfMjnWNzv1HPOJ6QYos53VLGowo6oqR44cmfT+kSNH0PXCUytznbEKo7IoEMypSwbcNuQxOzc0phXb45BwzWILm4XFlUiZx45njJaTz2nD67La3+YD5T7HuCmpkK+w1EWJ2z7uJlvmsfb/fKGoBQYPP/wwH/rQhzh58iRXXXUVAK+99hpf+cpXePjhh4u56QumdTDBrvYRXDaJ6xZX4JmGZUBvJM2rp4YQRYHNTaW47BLxtMqaumDePyngsnHP2lr2dobxOmRW1vrZ1R5G0w02NZXOa++YaFrhhWMDKJrOpqZS6krc5/6QhcV5MBBL89wpMytayLagP5bmlZND3Lm6mjfbRnDYRP7gpkWXYqhXFOFklhePD6LpBltayvI1FzONz2njztXVfO/FU9hlkfdsaSi4XKnHzl1rajjQFcHnlLlmgVUzczkxeryous6WljI855HcKWow83d/93dUVVXx93//9/T09ABQXV3NH//xH/OZz3ymmJu+IGJphV/s7UbNFbOkVY371tWd9TOqpvOzPV15g7ORRJb3X9NUcNmGMjcNZWdu5G9ZUVVwufnGk/t66I2Y023d4TQf2to8q2JKFvOfX+7rRpfNc2swnuVDW5vzf9N1I697AXDd4grLtmCW+Pne7nw7b2/UPPeLIf4ZSWZ5Yk83gVym7d9ebmddQ2nBZZvLPTSXz05RqsX58Yu93Xmbn95Iht9bPX2doaIGM6Io8tnPfpbPfvazRKNRgMu68DeWVvOBDMBIQjnL0iZpVc8HMgDhpDKlJ9WVykjyjGR4VtVJZjUrmLGYUZIZHWfuahZNKeOKD89la2BRPMJjbFtSWY2MWhy7iOFENq/cDDCUyMz4NiyKT3iCzU9anZ4ZNRS5ZmYsfr//sg5kwJxnrRgz17qi5tzj9dglmsrdZFSNrKqzvMaPohmEczdwwzBIZTUM4+ziW7pukFamv+PmEitqzrTw1QZdBHNTbxYWM0XzmPbPpVW+cXURqmZQF3SSVXWyqs6CCg+6Qf61RfEY7QwDaCp345lmq/X5Ul/iprHMTVbT0DSNjU1n5BsiySzpCxDTnO6122LmWD7mnttQ6sY3jTKPUWY8M7N+/XqeeeYZSkpKWLdu3VkzFLt27ZrpzV8UsiTyjo31nB5M4LZL1Jeeu7ZDEASiKYVXTg4hCgJOm8CPXm0lo+isqg3QWO5hMJah3OfggfW1Bc0kh+IZfrrLdO9tLHNzz9raeaVvcf3iCprK3GRUnZZyj9V5ZDHj3L6iisGslLctGOXHb7Tz+O4u+qMZFE3DKcucHIjz8skhBAGq/C5uXFrB6rrgpRv8PObmZSEWhLyomk5LhbdoGWtZFhEFgbbBJLIoEHCaD0wT7Qyma1+QVXUe391JdzhNwGXjgQ11+fpHi+Jx09IQLRVnjpdEPDbtz854MHPPPffgcDjy/55r0y12WWRJ1fT9j4bjWX59oDc/bfIfr3XkL6Y7TgwSTStUB1wMxjLsaQ8XPJlePTWcb81uG0pyrC/GsurLO4t1vjSWWXPUFsVj1LZgLMmsyuO7u1A1g4FYGgQBr93gYHeE2qAbUYQKr4PtRwdYUROYVw8QlwuCIMxKfcrR3igvHh/IdzT96NU2rmopnWRnMN1g5mB3hO6wWecXSSm82TrMzVeoaOlscjHHy4wHM3/1V3+V//cXvvCFmV79ZcdEf8ixLwXGS6JPFdhNfHuibLSFhcX5I5KTucfIn2SjtgV5W4Mx71nMXWyS6eI8OiUkUNjOYLpMsluwDpDLnqLWzHz+85/nueeeI51OF3MzM0pa0djfGeFE/2QxpZ1tIzz6ZgdtQ2dUZoNuO3eurmY4kSWSVvjg1mYEwSCRVbl+STkLQ156o2l8Tol1DcH851RV59cHenhiTxdr6wOUuE3550WVXhZNeMKcDvGMaZVwenCyAm77UJJ9nWGiaYXhRJa9HWF6Iqnz3oaFxVzCaZd5cFM9dlmkyu/Aa5cQRfA4ZDKKhigKnByIU1/q5khvDE030HSDQ91RDnVH54XJpK4bHO6JcrA7gjqFbcr5rGfUfmU6diyzSUuFl2tbShiIZxiOZ/nA1XUsrfazdVE5yVzdy/uvbgKgL5rmsZ0d7Dg+MOX6VtT4aSo3ywzKfQ6uap5+V83lRDKrsr8zMmtmj2fj9GCCfZ1hErlZCMMwONEfY39nZEbqRYvazfTKK6/w1a9+FVVV2bRpE9dffz033HAD1157LS6Xq5ibviCyqs6P3+hgOGEW725qKmXrIjMt+dTBXn7w0mkMA57Y281f372C5govuq6ztyNC0GX+lPs6w2xuLkfTDURRIJpSqfQ5SGZ1hhLZvMfQ3/z2CPs6TRXgHccH+ZsHVmEgXFCqO5XV+O/X24mlzYNk26JyNjaV5sfzzGHTbdvAOGPoJsCdq2smpeYtikfTnz55qYdwxXHP2lretrKav/jZPk4NJjncE2U4qYBhKpRWeB10DCe5cWklx/tj6IZB66Bpd3C8P8Y9a2sv8Te4OJ7c35N/MDvcE+OB9bUXNPX/6wO9HMupmx/qieKxS3n13EM9UX5vQ2E7ltkinsjy8319KKqBgsE/bT/NO65qxu+0ccPickRRJK3oDMez/Pnj+/PXyrbhJO/e3DhpfbIkct+6ulmX5J9JMup4C50tLWVcveDSBGWvnx7mpROmQ/kbrSO8e3MDr54aYnd7GIA9HSO886qGi+p0K2pm5umnnyYcDvPMM89wxx138Oabb3L//fcTDAbZunVrMTd9QQzGM/lABsifvACvnR7OO7JmVZ3XW8252L5ohvbhJKIoIooih7pjGIZ5ArQPJYikTLl0TTc4OSbbc6Armv93+3CSvmjmgk+aUYnuM+OOF/x3TzjNYM67xDAomH2ysJhvJLIqp4dSKJpORtXNG55mkFZ1klmVoUQWRdM51hfj1MCZzOapgcRlkXW4UHTdGPdE3jGcJHUBT8CGYXC8/8y1sGskyaHusa9TJLKXthPzyUO9ZFQtb1UxGM/mr+dirhbgWF+MfV3hcdfKN1tHzrreuRrIwGQLnbH7cLYZey+NphR6I2mOj7k3Dcaz4+69F0LRW7NlWebaa6/lgQce4L777uMtb3kLuq4XtDm41PhdNuxjfDzKvGekrkczKqM05QpaS9w2PI4z7YalXlv+CcXnlMfZFIxd39gWcI9DosR94ZXypRMlusdsZ+y/PY7x4yn3WlLeFvMfn1PG75SRBLNuQhTN/8uigN0m4ZQlbJJIqduetx8BU7W7GJoos4UoCpSM+T4+p4xTPv/WaEEQxsn+ex02QgHHmNfyJbdjWV9fMq7OxSGLBa/n9aXucdfK6iIpEl8OTLTQKfMUtniYDcbea+TccTn23mSXRXzOi5soKuo003e+8x22b9/O888/TyaTYdu2bdxwww38xV/8BatXry7mpi8Ir0PmnrU17OkI47ZL46Su37elEcMwaB9JsamxhM0tZrrOaZf58LYWvvPCKSRB4Pe3tfDiiUHCqSy3La/C65TpHElRG3SN01v5k7cu4T9eaUfRdd6+vg5ngZbt6VJyFonubQvLkUWBkaTC8mofP9vdzeunh2ksc7OyprCF+0R+ta+H548PUOF18NHrW/A5rRZFi7mDKIp87PoF/NNzJ1iZ07FwyBIVPgd2WUAzDOJphXvW1lDitvPqKbNte0vL3KyTGMu962p55eQQumGwubmUcEphx4lBdN3gmgVlhPzTu5nfs66Wl0+Y67mquRS7LPLyiSF6wimO9EX5qycO8M6rGlhZa15TRhJZXsxtp5g2BqMsqvLxkW1N/OjVdiRB4Mv3ryx4PXfaJD5+wwKeOdxvujtfaypFH+iKcKQ3RpnHztZF5XM6iB3F77SxrjHIbw70EnDZubYIU0yabrDjxCADsQwLKjysaygpuNyNS0M4bKbNz+q6AAG3jbeurOalE4OkVY31DSW47TJtQwl++FIriqbzjo11NAemHyQLRhEVgURRpKKigs985jN84hOfwOud/fqMaDRKIBAgEokURbRP1XS+t+N0XgW4K5zKZ3EkUeB9VzeOe9q7lDx7pJ9vP38y//r2lVU8fG3zWT4Bh7oj/PUvD+Wn2DY2lfLHb1lSzGFeFJ2dndTX1xdtf09kLtfBtH7lbZd6CBfNdPa3rht8b8epvAqwz2k+gBiGwfdePJ2XRRh9fz7zw5dO51VW3XaJD29ruaiplE/85868XYHLLvGtd6/HaZf5t5db89MGLrs0YzYGU+3vtKLx/R2n8yKIlX4n79pc2J9p0jpHkvy/Nzvzr9c1BLlhSeiix3qpiSQV/u2V1nwh+4KQl7vX1MzoNl4+OchrufZ3gHvW1tBSceH3+f/xf3cxEDNLIZw2iS/fuZDayrJpXc+LGn7+9Kc/5d3vfjf//d//TUVFBddccw1/9md/xlNPPUUymSzmpmeNiXYGw4lsvj1Q0w2iqfNXniwW3SPjf/NRv6Sz0TmSYmy4OxCbO51pFhYwtZ1BVtPzgczo+3O5RuZc6LoxroYimdXInIdc/OT16eMsX1JZjUhaxTCMgjYGxSSV1capOY+1UDkXY8cKjPuN5jLRtDKuIy9yHr/JdJn424Uv8rcbGVM3k1Y0ounpj7mowcy9997LV7/6VXbt2kVvby9/9md/RldXF3feeSelpYVNwGYL7Sz2AWlFy7cxprMqsfTUO2jUzkDTdTMF21Sar5kp89qLml49X7ntaxeW58X9JFHg+sUVxNJKXupb1fRJv8nGxtK88qUgmOsYKwM/9nc823hUTb+oC6eFxfkyepyqmkFdiSvfer2kyocsiQgINJefUfleUuWbF9MLE1E083cQRYFl1X50w/wdGsvcyBOFssYsP9XrUURRZH1jCYZhoBsGC0NeKrx2VN1gUaUXTTdQdb2oNgajBFw26kpcRJJZklllnCz+uWgq9+DNyeYLAnNGsDSr6pOC74x65t5V6XeOq1U5128yHM+iniPonHiNX1btz9cqOW0SC8qnzsqkshq955AE2dB4ZpqqpdxD1TSnQaHINTMAQ0NDPP/882zfvp3t27dz8OBBSkpK2LZtW7E3PSU9kRQ/291NWtFYUuXjrSur8gHIs0f62NsRwS6LBFw2fr2/B1U3uGV5iI9sWzBpXYIgUB1wsbs9jCQI3L6iioDbRiKj0VjmHleANpPEMyqP7exkOJEl5HfwwPq6c5o3Nld4+d/3r2RfZ4QFFV5+d7iPrz9zHJskcMcqUytH0QzWN5Zw/eIKAEq9dr5y/2peax2iJuBEN+Cb208gILC6LsDRvhiprEZzuYdkVqUvmqHEbcp/j9bWHO+L8ZsDvai6OW8/XRVOC4sLZXf7CM8fG+BgV4SeaBpDNwi67SwM+agNOvN/x4DFlT6WVvvG2SDMFw50RXjmcD8GBtsWlVMTcPLKiSEGEhn6Y2nah5NsW1TOhkbz4fJgt7m8bhhsXViOyy6Nez0q+TDK7StC9IRTqLrB21ZVc6Q3zu8O99EXTTOSyFLudVATcBW9bVsUBf7z1VYOdkcRBIFYWuXGaU4VeR0y79rcQMdIkhK3ncrzuIFeKt5sHWbHiUFEQeDmZSFW1AR48fgAb7aOYJMEbl9ZzcKQl3dsqqd1MInHIVFXUtieJ51V+atfHKJ1MIHfKfNndyyjucBUUSKj8tiuTobiZ+45zeUe3rW5gaFEhtqga8p6yt8c6OUrvzmMouqsqAnwL+9ehyRNvl996pZFvHRyiIyicd3iEOnk9Dtui/oYsmrVKiorK/noRz9KV1cXH/nIR9i9ezeDg4M8/vjjxdz0WdlxfDCfTTjaG6N92Jx+6Y+l2dthar9kVZ1/f6U176L9u0P9dIUnT42lshqvnhqixG3H77Kx/dgAdSVullT5iuoMvattJD8n3R/N5DVrzkVt0M1bV1bjkEWeP2qKRimawb+93IqiGfl1D8XPuM6Weu28dWU1y2sCvHBsEMMA3TD47zc68gJIL50Y5Giv2X43klTY2Xam5XH70YH87/ja6eF5k8a1uDxRNJ3njw2QVXUO9cQYjmcIpxTahpP4nTLPHhlg+9EBDAMM4ORAnKYyz5yzXjkXhmHw3BEzEDEMePHYIM8c6cPvkhmOZ2kbSqJoOi/mroejy2t6bvnjAzx9sC//eseJwUmZ2xeOD1Ff6qa53MPrrcM8dbAXTTc4PZhgKJHF65R55dTQuKn4YvDisX4O9cTy+/CJPd3n9XmPQ2ZplX9OBDJpRWPHCfM6rOkG248OMJLI5NvMFc1g+1FTW8whSyyp8k0ZyAD89lAfrTmx1Wha5b/faC+43K72kXx9VH80w96OMGB25i6t8p+1MeQ7L5xEyWV9DnZHeOpQf8HlRFFk26IKblledd6JgKJmZj72sY9x/fXXs3LlymJu5ryZeNEaTZMJE+Svx74SBAqmZCde/2brenixctsTpb6n+k3GLTO6HWN0mTGS8GexZBj7t1EdCAuLYmLaGIwer2esDMy/mf8fLSeYz3YGoijkv6gw9gQWQDBGv7uQPyeFMSe4gNnGPjqTMfH6ONX2xtZpTHV9mGkctgl2BvP8ImOadJz5nUVh/L3pfCxxpEnLFv7sxHVenD3EzO+fomZmPvnJT+YDmZdeeolMJnOOT8wO1y0ux+eUEQRYVRvIu2NX+BysqQ8wEMuQzKr8/nUt2HNurHetqUHVDfZ2hAknsxzqifC1p4/yu8O93LAkhCQK2GWRW2fJjGxDY0m+Hqe2xMXquum1WY9SX+bmlmUhklkNVdf56HXNOG0SoiCwpaWMkjG6Eif6Ynzt6aP8Ym83Ny8LIYsCNkngPVsaaR1M8OqpIZZX+fJtmZV+Jxubzsx93rKsEofN/B2vXViO32rttigiNknkpqUhnDaJNXVBKnwOKnwO1tYH0Q2dUwNxTvTF6Y2kGElmuWFJaN45uZt2AzGayzxIglkjd9PSSm5bXkUkpVDmsdMS8mKTRJrK3Zzoj6PpBjcvCxFOZRlKZLhucTlvXVmduwZCU5mb430x9neG2dcZ5kBXhJZyD5JoKpffuCTEW1eaT9SLQqYti8MmccOS0IxnqeOpLN/cfpxvbT9BKqtxVXM56xsC6Lls24Mb5rZy89lw2iS2LixjKG6K4t2yLETAbWN1bcCcaRhJcOOS6U/l37aiiuZyD/GMitsu8Z6rJysiA6xvKHzP6Q6n2NsRHle8O5H/edNCZFFA0QzW1ge5fWXV3LIzGMtb3/pW9uzZQ0vLpW99DPmcfHhbyySp6qyq0zGcotxrRxAEKv0u/u3hTeg6nBpK8P/e7MAwIJLM8OzRQTTdfGR595YG/seNC3NZh9m5KLrsEg9d1XDBctuqpuOyy9ywuAJBgKDbwb3r6jCM8RF362Ccj/3Hzrxy6H3r6/jMrYsB+JtfH2Fn+wiGYbqF//DhjdQE3ZPG01Tu4ePXL5i0bguLYrGyNsDyaj+CAJpm5AxhBW796nb6YxmymoHHIfHeLY2cGoyz6jwfBi53xtoY1Je4uH99HaIo8Mt93QTdNgIuGw2lbmyywKmBBKcGEhzqjuKySwRdNgwDTg4kePuGOhaGvDy5r4fj/XF+e7CXrKZjk0QUTWdFjZ/aoIsH1tch5YqnF4a8GDlvz2Kd83/w33voSZnrffnUED943yYq/W7W1JrXKbfz8pDDKAaGYXByMEGpx44gmPupsdTNE3u7GU5kEJLwxN4ePnWLb1rrS2ZVGsrclHsdyJKQLx2YSKF7zvG+GE/u78EwTOG7h65qoNQz+bd32WXuXVeHoumUeR2kFW1u2RmMpYhyNhfMxJvuqPz1aEByrC+GKIrIssjxvni+RfloX5xU9swOf+n4EKIoXJLU5oVqRIwkFQZimfy4j/WZ880TLzzbjw6Mk0A3BcXMz7x22tQXEARIKSrbjw5MOZ5C67awKCajx7Ysm1YjXeEE/bEMBub1KJ5WSWe1OW9bMJFJNgYjKTKqaQ5pBjjm79I+nBxnd9IxbHpXjf69cyRFMlfrcmIgDhgMJbJEUwqDsQyxtEpWM+gKp0mN6YIZPdeLec53jJGZONkf52hfjJ5IClmWkWWZfZ3homz3ciCR1egaSeXuNwLH++KcHkzQF03n3xutZ5kOrUNJMoqOJAoYBuNsBgox9hp/vP/MfTGr6rQOTTY6hjN2BjZJnLt2BjPFbbfdxurVq1m7di3btm1j9+7dM76Ns9kZjLcisCONqZ+pLbn8TDPPhc8p47CN/a6Fpa6XVPrGBWk1Y1rNq8dYPAiCwLKq6T0JWFhcCqr9znHTHbIk4rTLc962YCKFbAwcsogoCuOemv0u2zhbFZ/TRsh35vz2OmScNmmMnYGA2y7hkCU8Dhm7JGIThUtiZ+AZo5jud9loKHPjGtP+HfJdOun+YuOySflWcjAbNKqDrnHX8+kqOwPjrCpg/L3ufD9bPoVlwpy3MxjLt7/9bSorL7ye5Cc/+QnBYBCAxx9/nA984APs3bt32p8fiKV57pQZHW5qKuFAV5RYWmVVXYDFleZN+Gx2Bqtr/Dy2s5POkSSbW8qo8rvYfmyAar+Tj2xr4We7uxBFgW0Ly8fVm0xFOJnlxeODaAXkvh99s4M32kaoDbq4a3UVezoj2CSRbQsrCOQ8nFRV54cvn+bEQILl1X6uXlDG/k7TzqAu6OK/c1NiD22uZ3n15BS60yZx/7o63mwbxiFLVPkcfOhf3yCZVXnHxnrKfQ76ohmay91sXVjO9qP9lLhtfHhrE0/s6QLgM7cu4pvbTzIYz3LHyio2Np+Ry24bSrCzbQSXTWJdQ5A320ZQNJ1NTaVnrawfJa1oPH9sICd/7WcoodA5kqIm6OTqlrJ5X+BncWH0x9K8cnIIgK0Ly9EMg1dODnG0L8bO1hEq/U4SWRW7JNJU5iGWVrh77cyqos4mQ/EMO04Mmk+6/XGcssi7Njdw/ZIKfvRKG8PxDJph8NlH97Ig5CXgsudapUHVdRJZjf5YGsMAV7kbRTXoj6VJKzqarudtCkbtDFw2kReOD6IqOle1lLKkys9VzaW0DyX411faSGZUGsvc1JW42dJShtMmTnmdG8vo9VDVda5uKT+nPtfDW5v51svdiMAf3rQIn9PGtQvL+MGO09gkkf95kymj0TqYYFe7eR26bnEFHses3fIuiEhK4cXjAyiazlXNZdQGXfl9DHD1gjJCPifLqn18+4VTSKLAZ25bTNBtZ0tTKf/+ahsOWeSRWxcBZqfenvYwHofM9YsrcNklDvdEOdgdJeiysW1xOfWlbo50R9jVGabC6+B9W+oLjs3InUvdkTQNpW6uai5lZU2Af37uBF3hFBsaS2goc5NVdV48PsBIUmFZtY8VNQHWN5Tw873dhJNZ7lpTM6WdwcVQVDuDYvGv//qvfO1rX2PPnj2T/pbJZMYVGkejUerr6/nar3ajy+ZNdKzlgCgIvHtLA+VTZCZG+e4LJ/ndYbOdLKNqNJd5aCjzoOsGfbE01QFzfaUeO++/pumc3+HfX2nNt7k5bRIf3mbKfb98YpCvP3McMNufPXaZNfVBAEL/P3v/HSbHWeZtw2dVdc7Tk3PQKOcsyxEb4wSOGCcwmDW7sCy7YHiW5VswD7yA2e9lWWDZNbvAt/vAA4bFmGCwjW2co2QrWFkaaaTJeTqn6qr6/qiemumZHmlmpJFmpDqPw4fVPdXVd3dV33XVfV3X7+ezG3b1j2xr47c79aBCVlQqfQ6ac0HZC4f6jDtQt13iPz+4Acsp2txu/8FrdIV0QaOsqnHt8goCLhv90RT7uiI4rBKapmGVRENrYjL591g6y3+90mq0Y3eFklTlvm+bReQvLmk8ZUHgH9/pNpYm+6Np3SQv95orl5QZ38l4TDuDqXO+2Rl4PN482wKPXUIDIgmZn21rQ1E1vA4LLpvEBzbUnRc2Bj9+pZVIUuYPu7vIKCqVfgduu4WLFxQTTSvG84Kgz3XvXVWF12HBklvu39U+jKKCKGiomoAogKJp9IRTZLL6/lx2i2FT8In/+3aeTcHI8yO2Bj3hFAjw3hWVeF1W7BbRUIk9ma3BT18/zkCB+XA8I8f7nn//M7Kozyl+p5Wv3bycD/zHG0a6sNTj4Kf3b+K/Xx2V12gocXHL2pozfxDOID9/s43eiK6yPjJX/uzNNiI5OQu3XeKDm+r460d2Gu3uxR4b/3j9Mu7+0RuGYF6l38mPP7xxgp3BlsYgP9/WZqSGVlT7OT4Q43u5aw7A+vog//3RTRPGtrNtmBdych4A1yyv4GdvHs977m+vXEipz25InAgC3LGxlh+93MreTv05URD4xi0rCmrZjGc6dkRnPEy99dZbp7ztY489Nq1933vvvTz//PMAPPHEEwW3eeihh/jKV74y4flEWmVkFWs4nqHK70AQBFRNl/g+VTDTExkNkLKKZtjIZ1WNSFI2gplQQkbTtFOuHIyVgU7JCilZwSqJdIRGFRJVVSOUzBR8zcgJb4whNzErqkYkJRsX/nhaIZbJErCcfLVorCy5nFWJJGUCLhuRpIysqHowg34HNcKI/Pv4SSeWyhoTCMBgPGMEM5msSiKjnDKYGStHnpQVbBbBeM3pSmabnJ+Mty0IJWREUSA1RhVV0/TfxFAsjS13Pk12Hs91FFUjmpJRVZVUVgW03OfLMhDLYJUEUlkVTVPR62A0MlmVeDqLqukt6ilZzSn46o819MbcZEZByHV1JzMKkVQW25jABPKf1+cPXfEXdJsXS0YhlsoaNRYjtgaFvufhSebDyUikVay5LHc4KdM2kMyrewolM7ptxZh5aOwcN1cZO99nsrrdxlgF+nhaoT+eydPtGY7LHB+IGuc46PNnITuDUFLOs6cJJTJGofgIfZNY1oyfd0OJDD3h/A7l40MJLGOOm6bpv8MRvyXQb9K7w6kpBTPT4Yz/ev1+/5T/my4/+clPaG9v52tf+xqf//znC27zhS98gXA4bPzX3t4OQGPpqLrnxlzbcFZVCbisxirNybhsYYnRK1/ktrE4Vx9iswisGrNKsKzKN6UUyLIxktn1xS4jB3rRgmKcNglV1bCIAuvrg2RVFUXV8uSoL11Yati7e+0Wllf5yKoqokCuBVWXGF9c4cXnsOa1vo2Vox6Rv97cONpKXeF3UFXkIKuoNJS4jfyrJAp5CqCTyb+XeGyU+UaDw01jXlMdcOKzW04porV8zGddUOo2agCsksCi8rNvWGoy93FYJRaUjZ4bK6r1FLLbbqXIbTMm2aWVPpZVj84/c9XGYKxtSCEkUWBJhRdRFKnwObBbRBD0bqIllaPPO6z6alTQbcNmEakvcbO0Up+nSr12ity67UqRW1e/LXLbqAo4cVglJFFgYZmHEo8NURRZWxcw3r+p1I3PYTFsDUDAbbMQdNlw2fSW79W1o9/ziK2BXMDaZOzvfex8OBmLxtTnrarxs6rGT1XAqQsharCmLkBZriW/0HvMVcZeF6qLnARdNpZUeIkkZCIJmaZSN7VFThaWeXJiiBpr6wKsq9fTTyOff319UUE7g9oiF74x9jRLK33csbEWq0VE1fTax/csqyg4tsXlXuOaY7OINJd7uHaMer7NIvG+lZW5a6D+Gq/DQn2xi4ubR0sQij22WekenJdpJgCn00lHRwfFxSe3NR9ZphoeDjGQkRAEcFpFfvp6G5GUzMaGIDetqZpSALK/O8yJwQRragL4nFZD/rrEY6d1IIYoCDSWTE1JVNM0jg8myCoqTaUe4+4lq6j892vH2dE2TLXfyfqGIl5tGcAqidy5qc6o7wE9H3q4N8ryCh8720NsOz6Ez2FlQ32Ax9/pQdU0blhdwYmBBPG0Ql3QSUbRl5D9TitVAQcHuqOG/PW+zjDDiQzvXlbGb3d20R1O0Vzq4dqVFexqD1Hld7CyOsCxgTiCoHtnTPZZM1mV1oE4LptEbdDFicE46axK0G3ld7u6iSRlqouc3LK2etILSWcoSSyl5+BTskJPJEW513HSmiQzzTR1zrc0k8/nQ1W1vPNT0+DYQJw9nSF+v6sLURT4myuaWF0bnNJ5fK7Y0xHmuYO6DcFli0pZV1dUcDtN0z/vwe4Iz+zvpW0oQVpW8DisXNxcwoISF88c6GMwlsZtk5AkEbddotLv1IOeCp/RQq3/X19VVlWNzlASVYPLF5YaaWpV1RWDjw7E9JUvQeCS5hLW1QV4+cgAcs4HyyIJNJZ4EAXy5rnDvVGe2d+LqmlsXVDCpsag8TkKzYfjGTneg4PD7OrLIAq5G01R5M8Hevnp68dxWCQeuGYxi8q9E+ah+cDxgTgZRaWpxI1FEvnET9/i2YN6icPWBcX8n49u5vWWAR7Z3o5FFLjv4npW1hTx1N5uHtnWhttm4YH3LKa5zEM6q0ywM0hmFE4MxfE7rVT6naQyWT71yA72dEYo9dj43l3rJl01GYpn6IumqPQ5jfrN11sG2Ncd4YpFpUapQ084RSiZoS7oMmph3j4xzEA0zZamIH7X1IqMp5NmmhfBTCgUIpFIUFWlF+r99re/5W/+5m9ob28/5SRU6Mv41VvtdAyPpnNuXVdNffHc8GXZ2xnmmf29gL5q0j6UoLlMP0FcNom/unyiP1TbYIJf79At7DVN41BPlCW5CP9Qb4TmUi+SKNATTmGzCATdep9/Vyhp2LWPrRt4/mAfu8a09l2+ePLJdLo8va+HfV0R4/FVS8tYVRM4I/sGM5iZDudjMFMIWVH5t+dbjOV1SRT45LuaZyxrMNuoqsb3n28xUgSCAH99RfOk8u6apvH951qQFYXf7OxC1TSqAk5EQWBDQxEWUWBb6xBjMg5sbCjCIol8/PIFMxK0+7fnW4xVI0FgyvsZ/7q/umxBXhfSqZjseEdSMj9+udV4PNlcOd9IJGTWfuPZPGXjJ//uEn6/u9s4n20Wkbs31fLfr50wXjedOrDf7erk52+OWhisqfXzheuXnbkPcRqc05qZ8Tz66KP8z//8D21tbWQy+X3kO3bsmNI+wuEwt99+O8lkElEUKS0t5Q9/+MOM76amIt1/rsiT/idfu2ayYZ7MLkAcI1XOGFE/Xdl8dEMx/43z9z+N8Z+Kufzdm5yfCOjnmTJyQWDu2xcIef8WJv3tG9sU+LsASIII5Gr4tFEbg6nud2pjPR1Z+9N//5H9jnzEQu8zX7Fa9eM4dsXBIpwbO4O5zqwmir/3ve9x3333UV5ezs6dO9m0aRPFxcUcO3aM6667bsr7qa+vZ9u2bezZs4fdu3fz7LPPsmbNmhmPazI7g7mAbnZmpyeSwmkTed+qSg73RjkxEOfKxaW09MXY0xHOqzmpDbpYVeNHEHStiLs21emS7X1RPrChFjS9qGtjfRHNZR56Iik8TivXLCs35K+vWFSckyoPs6rab+Sa64tdhk0B6Gmw/V0R9ndF8orLpsrmpqCRx20qdVMdcPJOR4j2oYkmnmPpj+rGZn2RwsVpJiaTYcnZG4zYcLx7WfmcFnAURYGrl5djlQQsou6KPD4Vq6gaB7ojvNMRYl9XmKYSD5ZcTUuJ145NErljYx3XrahgOCHruh5uGyVuK0G3jaF4Gqso8NTebna3D7OvK0xWUclmVZ54p5vf7+4kkSmsBAtw5ZJSjg/EOdIbZUtj0aSrMrqtQoS9nWFkReXqZWXYLCKSKBS0ORi//VTx2C1cmqtrtFlErlo6NcfsuYamaRzujbK3M0w6q2C1Wrl2eTmqqqGoGpcuLKauxFvYzqDGz+HeKO1DZ8bOYCCmz7ljm032d4V59K12DnaPrq4XsjNoH0rwTkeISGryouszbWcwq2mmJUuW8OUvf5m77roLr9fL7t27aWpq4sEHH2RoaIjvf//7s/XWBidbppqpFcBsEkpk+NmbbaRzB3dfV8SoZq/wO2gs0dNCRS4rd2+uz1t6Hvk8X/79Pg52h9E0CLhsLK30jSow525fVE1jX1eEeDqLIOitfCOpthKPjbs21SEIwoTv5zc7Ozg+oAceTaVublozMw8URdWIZ7L8/M02IzC7ell5XuA0QlcoyaNvdxif75a11ZMGoGaaaepcKGmmEVRVO6uWI6eLlnO7LhR4/X53F0f79Jo5RdVYWukzbAtAQ1XBYhF5fHcXR3qjHO6Nks01FSiqRl9OwVcUwJ67+NcG3YYGCeg3Mt+8dSViAYPdr/1xP3s6Qmga1Je4+adJtntyTzcHe3SJheqAk9s31OQ+W+HP9dTebg5069tXBRzcvr42b7tTHe/5dozH88z+XqOFudzn4I6Ntdz339s40jNyTDw88pdb+NXbHXQMJRAEWFzh48rFpfz9r/fQE9bLJ7Y2l/Dpdy+a0nuGEhl+vq2NRFrBIglcu6KCoMvGL7e3k1U1REHg5rVV9IRTfOfZI6iafh59/rolOK3SBDuDzuEkzx7QSyVcNom7N9cVdNR+4VCfYWdQ4rEVtDOYTpppVldm2tra2Lp1K6AX7Eaj+kn6oQ99iEceeWQ233pKzLVABvRiuUxWRRAEIimZE4Nxwz5g75hak+GETH8svy1OEgUyWTUXNeuvaemLkZIVBEGgO5xiMJZGEASGE7oI3Yj89Z7cDwhGpaXHfz8pWTECGeC0ZOAlUaB9KJG3wnSkL1pw26P9MWMVSBkn1W5iMlXOleXITJnMDkBRNY72xVA1jaF4hnBSJquohm3BiAXLWFuD4YRMJCkzGM8QSmToj6VJyQqJjEIoKZOUVdqH4nnzwInBhKH9MhZVVdnXOTrHtA0m6C+wHZBnl9AZShJLZ09qczB2+65QithJVocKMd+O8XhGtLVAl9/oCac42hdDFHVLjvbhBK39sZPaGQjC6dsZHO2PG23tqqZxpDfG68cGUXM3xVlV481jgwXtDMZ+hkRGyatPHcu8sjOoqKhgaEj376mrq+ONN94AoLW1dU56Nc0FxspDO60W3GMknsf+zSoJ+J0To12bRRwnWa7LjgO47JIhO+6xW3DZR5d4x+rs6NLSE/dtt4hGWx9w2jLwxW57Xs68eFIpbPtJH5uYXEhIokCRy4ooCDitkpG2GbEtGGHE1kAQBJw2CbtVwmWTcNj0Vm2LpKfdbJKI3SLiddjybAA8dguBAl0noihS4rXlbVc0SXfKWMl695j5ZzLGbu+ynXr7842xrdQOq0SJ15Y357psFip9zlm3MygZZ2lQ4rVTO862py7oLmhnMPYYCsLE/Y99nxHmvJ3BlVdeye9//3vWrl3Lfffdx2c+8xkeffRR3nrrrWmJ681XNE3jzdYhOoZ1xeEtTcFT3jXUBl00lbjZdnyImiInX7lxGY/v7sFuEdlQH+CrfzhAMpPllrU1eSf04Vy9i9dh4bNXL+JXb7ejanD7hlp6IymGEzLLKr3sbAuxqz1EfdDFX13WxC+2teO0SXzmqkV0hJKksgrr64sKdhgIgsCta6tzZpOwpenkbfGnosLv4PqVlRzqiVLksrGlKVhwu6WVPlKyQvtwkuqAo2AqysTkQqClN8pP3jhBOquwsMzDFYtLOdwXoz+axmWT+P3uLrYuKDYuZjevreb1o4PUBp15TtYpWeFIbtVWUTViaYX3riqhPujkq388gKJq/O2VzcTTWZ7aN4Cqaly0oJjy3H7/4bol/OS1Eyiaxgc21E7aaXXjmipePzqIompsagzmCaoV3H51Fa8dHSSr6NvPRf2fmZCSFV4+MkAkKbOi2m/olI3nsoWl/NerraSzKreuq8FukfjS9ct46KkDqBo8cPUinA4Llyws4Zfb25FEgdvWVRNw2fjcexbz252dOG0W7rtYr3spZGcwnrHXnOoiJ+vrirBbJVoHWtjXFaah2M1fX9bEqmofqazK4d4Yy6t8XLOiAlXVBRf7Y2kWlLqpK3ZRFXAgifrq/9IK76SB1byyM1BVFVVVsVj0Qf7iF7/gtddeY+HChfzVX/0VNtvs27RPJ+d2ptnTETZyhwDvXlp+SrGgE4NxHtvRaTze1Bjk4ma9mOvqb79o5ERFUeC/PrKRdfVBBmJpfvZGm7EEuKTCy3UrKyfsu6UvxuO7uwC9kHcwnjEmp+qAkw9sLOzJMZ8wa2amzoVWM3M+8Jc/eYvwGGn7i5qKiaUVdrYNo2oa6+qKcNstfOzSpikVOf/Xq62Gqq/LJvHbnZ1G0abdInHnplpDVdlpk7j/ksZTBiSzyXw93k/t7ck5kuudRndvrssT9BthKnYGH7mogf/fa8eNFP1kFjrhhDzBzuDG1RN9yMZfczY2BDnYE+G/Xh1tdb9hVRX/n+uXzvDTz5w505o9kucb4c477+TOO++czbecU4yVpoZ8if7JGCvrPf414TFy0qqq5zHX1QeJJGUjkNHft3AF+VgrgoyiEk1lKfdNfWwmJibnjkxWzesOiaWyDMYy2Cwi6Zx2i6JpJDIKGUXFIZ48RaOqWt6cEkvJhFOy0ZibkhW6w0l8Dv2mc8SO4FwGM/OVsXOvqumWM4WCmQl2BqmJdgaRdDav1nAyC51CdgaFxzbOpiCZoW1cd2l3qHDdy1xi1s/K4eFhvvWtb/EXf/EX/MVf/AX//M//bNTRnO8sKvdilfQTTJfhL7y0CPrEkpIVGkvcxlKgKAgsrfSRzirIisqG+iI0dM0Bn9PKVcv09sOqgJOAazSvuqzSV1AKfUGpZ4wBpYVllaPjWTbHpb41TcuzYTAxOV+ZzMbAZhFZPWZld2G5lxXVui1BicdOkcuKRRRpKnXjsOq2ASezQxBFfX4Zobncy+oxApaNJW4uairJe+wak6Y41f7PFIXsD+Yby6p8qJpGVlHxOye30FlW6SOb1T9vdZGToFu3MxihqVSvU2kscaPk2rWXVnoLli8UsjMoRGPp6HEVBYElFT5uWFVppPgkUeD6Aiv900XJXeNmi1ldmXnppZe48cYb8fl8bNiwAdC1Z7761a/y+OOPc9lll83m259zyn0OPrilnu5wigrf5DL8g7E0j+3oJJbWpfvv3FhLTyRF0G3jaF+c3+/qwiIK3LGxlrSiEIrL3LmxlhKPniJyWCXu2lTHicEEXoeFoXiGh184OkEKvcht454tdXSFkpR47PidVloH4tgt4pxRQC5EMqPw6x0d9EfTlHhs3La+5rTzqyYmc5FT2Rh8/tolvHRkgGP9McIJmZa+OAvK3Lx3VYUuXidAU4mHvZ1h/nxA38+lC0tZX19Ywfs9y8oNn5+mEg/vXVnBo293klFU7lhfi9Uq0pz7e2OJx7ho7uvS969qGpc0l+R5tp1JDuRsGlRN46KmYqpnvzJhVij12nUT4KTMwnJvXqH2WLKKyuutg8iKSsBpQxQFrllewcJyL1ruGAmCQGXAwY62YSRBmDQwsllEPrCxdoKdwXh8Div3bKmnYzhB0G2jzOugGQ//fvc6Xjs2yJoaPxsaT68+sjOU5He7OknLKksrfVyzvPyMd53N6hXhk5/8JB/4wAd4+OGHkSQ98lMUhb/+67/mk5/8JHv27JnNt58TBFy2gh0BY3nj2BCxnOv1icEE3eEUSyt9RFMybxwbBPRWuJ+92caKqgAAHaEUfZGUUVzlsEosrvCiqhq/frvDSDu9dLifFVV+o0DP57DiqxhdxTnZatFcYVd7yHBdHYhl2NkWMuqITM4e06kPOh/qcc42qqrx/KG+SX+7oKfuL1tYyp6OMAgCGrpEwjXLK7Bb9DlW0zSePzi6n5eP9LOi2mf8fSyCIBiWJjoSd2yqy9umqYBPzwuH+o0UxistA6yo9s/IFuFUPH+oz3if144OcsOC+RnNvNoyiFUSKfbYaR2I0zaUKHgD+fNtbVglEask8vyhPm5YXUltkYsFY45BSlZ4/eig0UH2wuH+SQ2O7RZp0mLjsXjsFpZU5K/cLKv25xmyng6vHOknLeureAe6I6yo9k0aXM2UWU0ztbS08NnPftYIZAAkSeKBBx6gpaVlNt96XjH+HByRohaEfLnxCfV8hSTMx9kZnCnJ8nPJ+M89zz+OicmkTMXGoOBvfNyvYmzxb6G/n0lmc99jZfnHf+75xMSpu/AHGf95LZN84PGvn+vaOmdjvLMazKxbt44DBw5MeP7AgQOsXr16Nt961gkn5Ull+I/1x3inI3RSOfCxbF2gL+H1RVNUB5yUem3sbg8RTspsaQrSH9Vlq++9qB6XTXf+3tgQpMw7seVNEHS59smk0I/2x3j0rXZ2tw9P+bNGU/pnPTEYn/JrziRr6gLGUmql38G6SZbMTUzmKoqqGTYg2UmEJqdqY3CwJ0pd0MVQPM1QPM3li0ryVm8EQeDdS/X9SIJe63KkL1rwfdWcLcLujmEe3915ShuDEd6zrHyMLUEpNkmckQ3BqXj30tH3uXxRKU7r/EwvXzrOQqeuWF+VeO5gH7/Z0clQTnTww1sbsFtFREHgvSsrqQw4DeuKEcsJh1XiisWlSKJu3fCeZeWAvmKztzPMkd7oSWsLC83noUSG3e0hOoZHr2eF7Az6Iil2j1kpnyqXLy7FY9c//5rawKSpsdNhVluzf/nLX/L3f//3fOpTn2LLli0AvPHGG/zbv/0b3/zmN1m6dLTVa9WqVbMyhtlozQ4nZX7+ZptRzPSe5eUsr9KX4944NsjrR/XUkM9p5Z7Ndadcft3fFeFP+3pQNQ1RAFUbidA1QMhVqsPyKj/vWa739p+q7bKQFPrh3ij/zx/25xSG4S8vW8CVS07uYRJPZ/nZmyeM9sx3LSljTW3gpK+ZLaZiP2G2Zk+d6aaC5mKaab606v5uVyfH+vWLR0OJi1vW1ky67VRsDA71RFFUvf6gvtjNbesn7k/TNB7f3cXR3PvWBl3ctq467674D+90caQ3xouH+4gk9Q6b+mL3pDYGk43ziT3dHBqxLShycvv6mjN29z32febL8Z6MsXPYf7x4lOcO9gF6e/X/+/7VeByWnKSJbkcBo8ccoC7oMo71WOuGrKLyi+3tRpCxpjbAuwrM7YXm84ZiFz/f1kZa1q8Lk9kZiILAYzs6DTuD2zfUUuGfujjf+M8/FeZMa/Zdd90FwN///d8X/JsgCEZLmaLMn2r19qFEXlX2kd6YEcwcGSPlHEnK9EZSpyyuHZHxFwWBnkgKEV3BMSWrtA0ljLqWI30x3rO88CQ3nvEpKoBtxwaN7gNNgzePDZ4ymOkMJY0TH/SA6FwFM3PRfmI+M58DsfmErKhGIANwfECfPya7ySn024V8G4MRKQVF02jL2YKMF0TTNDg2MPq+7UMJkrJiFM+rqkZLXwxVVemPZgANRR21MTiViuzIOLWc3P0IncNJ4hklT9TzdJjs+5iPjJ3DdraNro4PxTMc6o2yvr4oJ2miPz9yzEdoGxo9d8ZeB4YTct5qyeHeaMFgptB8Dhj1LCN2BiUe+wQ7A0kU8uwMjvXHph3MzOYcPqvBTGtr66k3mocUe2x5dvNjZZmLPXbDz8QiCqcs/gVdxn9ksnOPmZCskpj3+slkoadKfUl+UDVenroQRS4bojB6Eo+XuTYxMTk5+u/Yauh5+JzWSbtZTsaIjcFwQsZhlVA1DUmYaGMwwoidwYjnjddhwTGmCFgUBYJuG4OxDC6bRFpWEIXJbQwmQxAEgh4bA7mLqdsu4ZjB57vQKPc7DV0xqyRQU2A+HnvMQT+GtgI6P16HBbtVNIKS4kksXwrN51O1Mxgfh0z2HueKWQ1m6uvrZ3P354xKv5OFZR5eOzpIld/JxjFtiVctLcNpk4ilsqyuCRT0TxrP6lo/j+3soDuU4tKFJbxrSRlH+mKUeGw0lXh4+8QwVklg62l28Fy6sJSheIYdbbqdwZ0b6075mlKvnRtWVXKgO4LfaeWiBafXomdiciFyS84GRNN0G5CRFMxgLM0rLQMAXLSgeEId3Mjfo6ksmqZht0hUBSRqiyrR0AOPzU3Fk67WjtgZqJrG5sbghO1uWqP/vcRj40hfDJtF5M6T2BNMxk1rqnitRX+fqdgWXGiEExn+8+VWhmJprlhcxjUrKvjLSxv5xhMHiKRkbl9fa6ixj+eWtTW8fmwATWPSY+2wSty6toa3Tgxht0hc3Fx4ni40n1slkWtXVBjXnM2NxUiiwJVLFE4MJaj0Owx9I1lR6QylqAu6ptQldTaZ1ZoZgJ/+9Kf84Ac/oLW1lddff536+nq+853v0NjYyE033TSbbw3MTs1Mx3CCX73VYTxeWxfgisUnT9ecjO8/d4SXjwwYjz/7nkVsOs2+/gsVs2ZmbmDWzEyNH718jGhKL7h12yXuvyTfhuDHr7QSSco5uwJYVxfA47BM2O5CYb4e74eeOMCunJO1KAh8+X3LONgTpTWXBrSIAh++uAFfAYPfC5npXL9nNXx++OGHeeCBB7j++usJhUJGXUwgEOA73/nObL71rDJe/jk8iX3AVOmN5FeGd4VSk2xpYmJyvpDNWYqMEE/rNgQjjIisaZpGOqsiKyqKqk3YzmTuM7aeRdU0eiKpPAuZrKoRS02t+9WkMLOaZvrXf/1XfvjDH3LzzTfzzW9+03h+w4YNfO5zn5vNt54WmqaRklUcVnFKFfgNJW48dguxdBZBwLAcEAVhRi6vly4s4XBvFFXT8DosbG6cHTXNEZIZZcqf9ULDXGk5/xgpep9u6mS2sUgiSyq87OvSDQgXVXjzioIlUWBppZcD3VFKPDYUVX/NiF3BqT6XrKho2tz73GeblKxgEYVzmvq6uLmYX25vR9P0zqU1tQFcNguv5lKMpV57Qa+mEUYCHY9jframnw1mvQB47dq1E5632+3E4+dGs2Q8KVnhsR2d9ObsA25bX3PKKnyP3cLdm+toH05Q5LLRNpTg4ReOIub0Habrc7S+vog3jw3SHUmxqaHolF0EMyWTVfnNzg66Qin8Tiu3ra+ZUk2Picl8ZWfbMC8e7kdA4F1LSlk1xntoLlAVcPBGq15LU1NAe8OQslc1NN2tYEp2BVO1Mzjfee5gL7vbw9gsIu9dVXnObFu2NpewuyPMUCzD5YtL8TutbGoMUul3kMgoNJS4Jr0R/u3OTj0QQuOmNdXctenUtY4XIrMaqjY2NrJr164Jzz/11FN5GjPnkj2dYUMUaCie4e0TUxOTc+fkn30OK6+26MVZSk6OfLq8cWwIj8PKwjIvw4ms0S53ptnfHTFSWOGkzPbWC8Pw0+TCRFZUXjzcj6bpS/svHOpHVWe1RHBaqKrGi4cHCDhtFLlsvHSkf4LgnCAILCj10FzuZWGZl+YyvehyxK5A03S7grFGjGPtDAr9/UKhL5pid3sY0G/kXjzcf87G8mqLbj+woMxDx3DScKWuzRXSFrKaAMhmVX71VrtxLH+3q9NMR03CrK7MPPDAA3zyk58klUqhaRrbtm3jkUce4aGHHuJHP/rRbL71lBmfaJluTd34TM1MMjeT2RmcaSZ81gt79dnkPEdA/y0puR6HuZhUHW9fMKXXTNXOQNUm/fuFwFyS/J+qncF4RHHisTbn7cLM6tdy//3380//9E988YtfJJFIcPfdd/ODH/yA7373u9x5552z+dZTZlVNwOjvL/c52FA/vXoVXVq6zJCWvnpp+bTHsHVBMUUuK4IAC8s9LCybaOx2KnojKX79djsvH5l499E2mOCdjhC1QScNJbqMdonXbnZMmZzXWCSRK5eUYREFrJJu8zGXOoBE8eTWI5MhCALvWlJGKJFhKJ7W7QQmtTMQaCxxTWpnMII6RjL/TNoRnEtKvXY2NgQRBHDaJN61uPScjeXSRSXIikpfNMXCco9hZ3AqRFHkni31xjlyx8ZaQ/RwPOFEht/u7OTZ/T2o6vlxDKfDrK7MJJNJbrnlFu655x4SiQR79+7l1VdfpaZmcinvs43NInL7htppyyyPZU1tgFXVfkNaeroEXDY+cnHjjMcwFMvwj7/ZY3RGnBiI88GLGgB4pyPEnw/oqS+XTeKeLfU4rZKppmtyQbCi2s+ySt+Mf5uzzdJKH0sqvJPaF0zG0f44AZcVTYOWvhirx6lyL67wsqjco0vh98c52h/nQHd0gp3BCE/s7TZUfPd3RXj/GbQjOJdcsrCErQsm1+E5W7QPJbFKIiUeO92hFIlMdtKgZDzXrajkmmXleRYH40llsnzpd/uMkom9XRE+/e5FZ2z884FZXZm56aab+MlPfgJAJpPhxhtv5Nvf/jY333wzDz/88Gy+9bQ53Yu7KAqn/eOf6Rje6QzltXi+dSJk/PvwGJnxREahYzhhBjImFxRn4rc5mwiCMK2L7ajEvf65RuwMxqNpGDomMGpnMJ4RW4MROoaTJArsb75yrgMZGLW5EQWBWDo7bfkNURQnDWQAjg8m8gwhd+c0bS4kZnVlZseOHfzLv/wLAI8++ijl5eXs3LmTX//61zz44IN84hOfmM23v2CoD7qQRAEllyOvHOOXUeyxGc7eggDBaciUnw+YrdYm5xuFJO5nYmcwdrsRWwPQuzVPZY5rMj2KPXa6w3qwIeW+7zNJhd+RZ2cwWx2xc5lZDWYSiQRer159//TTT3PrrbciiiJbtmzhxIkTs/nWFxSNpR4+ccUC/nygj6DbxkcvbjT+dmlzCRZRYDghs6zSe0Ge5CYm5xtTkbiHU9sZjDBiazCynbl6e2a5fJFe1xRJyiyv8p3xYCbgsvG59yzmtzs7cdos3Hfx+WkldDJmNZhpbm7mt7/9Lbfccgt/+tOf+MxnPgNAX1/fvJKing9curCUSxdOLHCzSGLB501MTOYvfpeVa1dUnno7p5VrV1Scse1MZobNInL5otmdh1fVBOacjtLZZFZrZh588EE+97nP0dDQwObNm7nooosAfZWmkJieiYmJiYmJicl0mdWVmfe///1ccskldHd3s3r1auP5q666iltuuWXK+0mlUtx5553s378fp9NJWVkZDz/8MM3NzbMx7BlxOnYGJiYmJiPMVfsFk9NDUTVkRTXrkWaJWTd6qKiooKIif/ly06ZN097PX/7lX3LdddchCALf//73uf/++3nhhRfO0ChPj+3Hh3i1ZWDGdgYmJucbs114fbZcuc82ezrCPHdQtyG4bFEp6+ouTBuC843ucJLf7eoimVFYXOHluhUVc7rDbj4yL0J/h8PB9ddfbxz8LVu2cPz48YLbptNpIpFI3n+zSTKjnLadgYmJiYmamz9GpOtfOtxvrNKYzG9ebRk02ucP9UQNOwOTM8e8CGbG893vfpebbrqp4N8eeugh/H6/8V9tbe2sjuVM2BmYmJiYwER7A3M+OT+YqZ2BydSZd37i3/jGN2hpaeHPf/5zwb9/4Qtf4IEHHjAeDw8P09DQQEdHx6x1UC31ybx5bAhRhA0LS+no6JiV9zE5Ne3t7QC0tbURCATIRgbO8YhMZoOR39j44z3fWRnM8vJhfaX34uZieru7zvWQ5hTz9XgvcKc5eryfREZhcbkXMTlER4dp9HsqRjIrinJqEUdB07S5YyN7Cr71rW/xi1/8gmeffXbKJ/L27dtnVKNjYmJiYmJicu7Ztm0bGzduPOk282Zl5tvf/jaPPPLItAIZwOh4am9vN7Vt5imHeiI8u3+0FuldS0pZVuUvuG1HRwfLly8/J8f7YHfE8MECuHJpKUsrC4/T5MxwLo+3ydnHPN7zk2f293K4R7d0kESBuzbV4XdZT/m6SCRCbW3tlDqX50Uw09HRwWc/+1mampp417veBYDdbufNN9885WslSW+D8/l85sk/T0n1pnG4R53EU4J90mM58vy5ON6pnvxxpgWHec7NMufyeJucfczjPT9JMpw3NyoWBz6fe8qvH7mOn4x5EczU1NQwj7JhJmeYBaUe/s/rx+mLpCj12Hn/+rnjuj6WBWUedrWHDPfzptLCP1ZF1Xj96CBDiQyLyj0sqZifk/Lu9hDHB+NU+p1sbCgyW01NTM5jNE3j7RPDdIaS1AVdrJ1ENiCrqLx+bJDhhMzSCi8Ly70sLPPQH00DukdYhf/M2+rMi2DG5MIkmpJJZhTePj7EYDSDosBQXObtE8PUBl3nengTqA44uXNjLV3hFFV+x6Q+WK8fHWT7cb3471h/DJ/DSlXAWXDbSEomlVEo9drnVLBwpDfKcwf1lNqx/jhWSZh0cjMxMZn/7OkM8/IRvaHiWH8cl83C4govyYxCJCUTdNuwSiKvtAywsy2U2y7GXU4rm5uKKfHaiaWyNJd5ZkU40AxmTOYkLX1RntjTg6JqHOmLYpUEbBb9dJ3LGg1lvsmDmBEG42nj35oGQ/FMwWDmQHeEp/f1omoaTaVublxdNWcCmsGcE7PxOJaZZMuzy3TF+s5X8T0TkzPNxN98mt6IlV/v6CAtqwTdNj6woTZvLhiZ38p9DhaUesbv8owyL3VmTM5/trUOo6h6atFrt5DN/VsSBbYuKD6XQzttFpZ5jX87rNKkq0zbWodQc+nVY/1xeiKpszK+qdBU6sYq6YGVKAgsLJ/dicrExOTc0lzqQczdTFlEgaZSDzvbhknLurDjUDzDwZ4IiytG5zeXbfL57UxjrsyYzEkc1tE4u8Lv5KY1VXSHUyyt8rFsXIfQUDxDVlFPuSIyV1hW5cPntDAcl6krduF3Fq7qH/sdCAI4LHPH06XM6+C2dTUc6ImwoNRDffHUi/lMTEzmH7VBF7esq+JoX5xFFR4q/A7sPflzktMmsaTCh99pJZSQqS9x4bGfnTBjxu8SCoXYtm0bfX19qGq+5Pa999572gMzubC5ckkZf9rXQzSVZW1dgPX1wYLbbWvVfbFADxKWz5NO6JoiFzWnKDF599Jy/rSvl0Qmy8aGIEVu29kZ3BSIpmT+uKebaCrL4d4Y719fQ4nHfq6HZWJiMksMxTM8uaeHREahpS/GBzbWclFTMZGkTH80zYJSD4vL9VWZ2qCL2sJT9qwxo2Dm8ccf55577iEWi+Hz+fLy+IIgmMGMyaQoqsZrRweMk391baDgdgGXjTs21p1yf9taB41/7++KUO+YOxf86ZDOKrxyZIBISmZFlZ+F5V6KPXbu3nzq7+BcsL8rQjSVBXR/snc6Qly5pPwcj8rExGQm7OkIc6QvSrHHzsULirFIEytQ3ukIkcj5S8XSWfZ1hdm6oISb1lSf7eEWZEbBzGc/+1k++tGP8o1vfAOXa+51lZjMXba1DvHW8WEATgwm8DmtNJbMPEXhsErIin5RtYiCUccx33jhUD/7u3Tp7rbBJPe4bXN6pcNpy19eno3uBBMTk9mnbTDBswd6AX1OtogCFzeXTNjOOe43Pv7xuWZGBcCdnZ387d/+rRnImEyb4UTmpI+nyw2rKin12ilyWbluZSX2OVRXMh2Gx3QKqJpGKCGfw9GcmhVVflZW+/E69PbMjQ1neU3ZxMTkjDB+Dh6KF56T19UXsaTCi89pZXmVj1U1gbMwuqkzo5WZa665hrfeeoumpqYzPR6T85BISualw/3Iikq5z4EoCKiahsMqkZEVHn27g6DbyiXNpdgsE+NrTdN4s3WIjuEkVQEHFzUVG6nNSr+TD26pN7bt6AidrY81Y2RF5ZUjAwzGMywu97Kyxs/SSh/dYb1byee0UlPkJJ7O8vKRfuJphXX1Rae1gjUdDnRH2NcVIeC0cumikoIBoigKvHuZmVYyMZnvNJS4cdokkhkFQYCllXrdy/bjQ5wYTFDp1+dcqyRy3crKGb1HSlZ48XA/sVSW1bV+msd0dI4llMjw8pEBsqrKlqZi3NNYaJ9yMPP73//e+PcNN9zA//pf/4v9+/ezcuVKrNb8bowbb7xx6iMwOaukZIX+aJoit+2sVZn/8Z1ujvbFUDSNYneSW9dVEU0piCI8uacHgPYhvd7qXYvLJrx+X1eE148O5rZL4LZZJq21mQ+8dnSQXe0hQP88AZeV1bUBij02IsksjSVuHFaJ3+7spHUgDkBXKMmHL27A5yjc+dQbSaFqGpV+Xa9G0zR6IikkQZhWl1dfJMWf9vWgadAOaMDVZtBiYnLe4ndaef/6GvZ0hKkrdrGg1MPBngiv5ATy2ocSOKzipE0YU+HPB/o43Kt7M3UMJ7n3InvBhobHd3dxYiiBqmr0hFPcvmpiumsypnw1u/nmmyc899WvfnXCc4IgTMmu2+TsE03J/HJ7O9FUFptF5NZ11cbFbzbZ0xniaJ9+US5y2bhrUx21QTf7usJ524UmSTmNT7mEknM7BXMqxn/OcFKmFr3DiTEdTmOXf7OqRiyVLRjMvHi4nx0n9DqkFdV+rl6md0Ed6NZrcDY2BLlk4dQmhVBSZqxzyGTHxMTE5Pwgkcny+11dhJMy+7rC3LSmeuKce5pp77FzmappRFJywWDmnY6wIYpa4rHxvmVTVxWfcs2MqqpT+s8MZOYuh3ujRgdKJqvyTkf4FK+YSF8kxW92dvCbnR2G10YhWgfi/Oqtdv7wThfJzOg5kR3Txt9Q7DZWhwSBCfoxIywq9xjpJ6sksGieC7QtrfQx0gDotkvUFxeuPWsq9XCkN8r+rjCCAKXeiQXBiqrxaks/B3siHOiO8MaxQYZiaSOQAdjRNjxlb7PaIhe+nO6NvuQ8P32jTExMpkZLX4xw7gZRVjR2d4RoLhudcy2ikCeEN5asovL8wT7+Z3s7b+duqArRXOqmpS/Gvq4wWUWd1Jtp7PVBVrRpeTLOKM/wk5/8hDvuuAO7PX9yzWQy/OIXvzBbs+coLlv+4XaPe9wXTZGWVaoDTkRxNFmZyar0hFO47RK/3dVJPK0HJwPRTu6/tHGCxH40JfOH3V2Gai8I1Bc7kbMa9cUuoxPGbbdw9+Y6OoaTBFxWyidJh5T5HNyzuY6eSIpyr2PO6K0kMwp90RRFbtuk6Z9CLCr3EnBaGUpkqC1y4Z4k3TcUT2ORRGRFJaOoJGUF67iWSUkUONoXJ5bWg9R0XwyHVcJmEclk9YnBZZOmbIPgtEncvamOtqEEPqflrKzcmZiYzA5ZRaU7nMJlkyiepDvSZbOQVVXi6SwOq4TbbqHEY+eDm+vpjiQp9dgnfe221iEjZd4Z0ufxBaUeQokMkWSWcr8du0ViIJ6h3Gcnk1URRYF4WilYi7eiyo/XYUVVNcp89ml1Sc4omLnvvvu49tprKSvLr2+IRqPcd999ZjAzR1lS4WUgluZYf5wyr51NjaM50LdPDPHSYT1HWhd0ccvaakRRIJ1V+J/t7QzEMrkumwxBt35ix9JZsqo2oR06nlbGBDL6aspQPIOiaiyxWfJa+tx2y6RR/1gCLhsB19wIYkAvav7ltnZiaT1ld8va6knNIgsxFQ+nFw715+52NDpDST6wvnZC0KSoGg0l7lxtjUZ90I0oCrx3VSUvHxlAEgvXIZ0Mp02a0jExMTGZu2QVlUff7qA7nEIQdBHOFdUTV78r/Q7CySwdQwk8DgvvL9LnMb/Lit918pu08Sn/cFLmaH+MP77TjaJqBN027thYSygh4x0zd0VzxpTjed/qKp472IesalzSXILdMvVMz4yCGU3TCt7pdXR04PfPEwnWCxBBELh0YSmXLiyd8LcRl1PQjRwH4mnKvA7aBhO8cmSAtuEETqtEc9loiqep1M2z+3t1obdqP8ur9GNf4rFR4XfQk+vOsYiC8bdERiGUKJwvnU8c7okaqyGZrMqezvC0gpmp0BtOoZfg6t9bfzRFw7iOJkkUWFLhpX0ogYbul+KwSgzFM7zTEcIiCqyvL5p0WdfExOT8pDucMjokNQ12tg0XDGZa+mIUu20U5+bkgz3RSbuNxrOo3MPTOaX2yoBuJvnnA72Gr95QPMPxwTjNZW5eOzpAJquyqMI76YqvRRKxW0UkZeJN8qmYVjCzdu1aBEFAEASuuuoqLJbRlyuKQmtrK9dee+20BmAyO3SGkqiqRk2RMy/wHIpl2NcdpqHETbnXwY4Tw3gcFtx2i1FPI4mCsXrSPpRgT1cYRdEQBChx2/j45QsQBIEDXWEO9ugV6t3hFKUeO2U+BxZJ5P3razgxGMdhlXj+UD8DufoaiyicFwJrHkf+T8ebSxXF0ln6o2lKvfaTdou19sfoDCVZWe3Hn1txGoyliaayVAWc2CwidcUuUlkFVdVw2ixU+PQJoCecIpNVqSnS04GhRMYIVmJpmURK5jvPHiEl63c13376ED/40AYUVaNzOIndKk6a0jMxMZn7aJpGx3ASSRQmvYly2y0IAkZB/2TpbI9DTzPFUqNppqnSG0njc1gMqY2BWBq33UIyo5DOKvq1xWbhSG+MCp+DTFZFEgSiKZlij539XWFCCZkNDUFsFpHHd3cZOje/29XFHatnoZsJRjuadu3axTXXXIPHM3qXbrPZaGho4LbbbpvOLk1mgecO9rK7XS/uXVrp49oVFQB0hhJ86bd7iacVLCK47BYiST2AuXxRKbVBFylZYXNj0FgSTMr6xTSVVXR9GPTCVMi3EtA0iKSylOXqRa2SaET316+o4LmDfWQUXTtgvHrsfGRxuZeBaIbWgRhlPgcbG4MMxNL8z1vtpGUVu1Xk9vW1BYt2Xz7Sz8MvHEVRNfxOK9+4dQUDsQxP7dVboks8Nj6wsZZPXbWQh59vIZZWuHZ5BbXFLl47OsCbx4YAaCxx895VlcQzCkW5gCglqwwmMkYgAxBOZslmFX7/TjcnBvVOga0LitncNL/dx01MLlSe3NvDodyN5Lr6Ii5fNHG1Pei2cfWycna0hfDYJa5aWlhiocLnIJyU6RhO4rVbqJnGCvOx/hhH+uKomsZwXKY7nKQm4OR3oU6SGYWmUjelXjvhZH6aKZbO8uSebh5/pxuA+mIX37h5JZExaatMViWVnaU005e//GUAGhoauOOOO3A4zLu7uYaianldSge6I1yxuBSHVeKFQ/1G8W4kZxDocVgRBf0Ce8fGOiyikFf8W+F34LZbkEQBEPA5rfzqrXYAqgJOusMpNA2KXLrQWyGKPXZu31A7ex/6HCAIApcsLMlreT7QHSEt60W3aVnlYE+EUu/ESeaZ/aPLsOGkzKstg6RkxbiDGohl6BhO4rJKWCQRi6his+jH5PWjgxzujaKoGuFkhssXlbK8ys/eTv2YLyr3Uht0s6TSx8FcR9OmxiJCqawRyADs7giZwYyJyTwkns4agQzA7vYQly0sKVj6sbxqNP0/GS19MTqHk3SHU8TsFna3D7OwfGppJllRGYqnSWdVvLnV6kO9URaOSVMdH4yzqsbPnw/0AfrNWqXfyQuH+41tTgwmONwXZWWN3yh5aCp1GyveU2FGNTMf/vCHZ/Iyk7OAJAq4bRajnsNhlQgnZTpDSfxjImMBgYyikclFvh3DSUOg7Yl3urnvkkY8dgtVASfvXlpGdziNxy6RlFU6hpOArh3wnmXl9EXTrKsrOi/SR6eDd1xx7mRppqJxRXWlHjvDCRnQ89uCoKet/uWZwxzLHZP/36vHWVzp4/hgnN6IHkCOKHa+e2kZi8u9qJpmtHl/6fqlvN46iE0S2dxUTDydRRRgMJ7BIgpmmsnEZJ5is4h53Yp6OmnmnnQHuyOGoF0sJfP6sSHev2FqBrfprIbdIqJpYBFF0rI6Yd7z2C3UVLiwiAJ90TQb6vWUkt9pzSttKHLZWFblZ0Gph6yqUR90EYtFC71tQWYUzBQVFRX88gRBwOFw0NzczEc+8hHuu+++meze5DS5cU0VLx7uR9M0qotc/GJbO6qmEXBZuXxxCYd6YgTdNmqDTo72x7GIQl4NSFbVSKSzeOx6a+71K6vY2xXGbbdweMwdwfGBBLFUD4Ig0DaU4I6NtfPWG+lMsKraTyihr6rUFDlZPYl3yf2XNpGSFXoiaTbWF7G1uYREJmuISa2qDlDmc+QJTSmqxkA0jSRAJJlF0zQ8dguqqhfj143TqrFYxLxCb6dVwmoR6czl2S9aYK7KmJjMR6ySyI2rq3i1Re9WvHzxxNXf6SCJ+op7MqNLP0xHGd5pFUlndekIu6pis4hsbAiSVTWGExmWVvqoKXKxpyPMnw/2omn6jfMHNtTy6asW8YOXjhJPK7xvdSWVufRWbXBmno8zCmYefPBBvv71r3PdddexadMmALZt28ZTTz3FJz/5SVpbW/nEJz5BNpvlYx/72IwGZjJzyn0OPpBL6/z67Q7UXP4ilJC5bmUFf33FQlRV4xtPHKAlp8y7sX5UabGmyJnn2Ly6NmDYBzy1t8cQZLOIghHUDsYytA8l87qdLjREUeCKcW3QWUXl+UP99EZSNJa42bqgGK/DyheuX5a3nctm4X2rq/Keu3xxGb/d2QlAdcDJ0govDqvFqMMZCUB7IylePNSPhsYlC0upLpDzHkpkSMuq0c1wrD9+Zj60ybyh4R/+OK3tj3/zhlkaicnpUht0ceemqa2enIpLF5XyVK4jSRIFrl5WjqZpvNIyYHgzXbG4LFdqkI8oCATdNlQNo/vIYZW4fpyH0/bjQxzsjpDJ+fN1h0uoL3bz9VtWnpHPADMMZl555RW+9rWv8fGPfzzv+f/4j//g6aef5te//jWrVq3ie9/7nhnMnGO847puRnRKBmJp9neFcVhFBEGgfTjFR7Y2EE7JbGkM5tXNpGSFjuEEPqeVa5aXs7xKr/J9pyPE4d4YoKdGfI4ZnU7nNduODxn1LP3RNMUeG0sqpqaqe9emOqySQHcoyT2b63DYLCyv9uOySSiqRonHjstu4aevnzDSir/f1cVfXtY0YeJx2SQsomDo/4yo/JqYmFzYlPsc/H9vW82ezhB1QReNpR72dYV567iu6NsfTeN1WNnUGCSckOmPpSjzOfA5rDSVelhVEyApK8ZKfiFODMbpjaRRVI1YOmukyM4kM7r6/OlPf+Kf/umfJjx/1VVX8dnPfhaA66+/nn/4h384vdGZnDaXLSrVK80TMssqfUYbXygpo2gYdS4nhmI8f0gv0OoNp7htfQ2SKJCSFR7Z1kYoISMIcM3yCkPivsRjRxAEwkmZldX+aRkaXijEcjnhyR6fjJ+9eYLf7+oC4Gh/gm/euoL3rqzkhcN9ZLJ6Z5hVEolnRveZkhVkRUUS89N9LpuF966uYlvrIHaLxBWnuTRtYmJy/hD02Lh8zKpydNw8FU3J9IRTPPp2O7KiYbOI3LGxls1NQd28OJZmQaln0pV5qyQSTckomobNYuc0SnwmZUbBTDAY5PHHH+czn/lM3vOPP/44waCuKhuPx/F6T14R3dDQgN1ux+nUL7Bf+MIXuOOOOyZs9+Mf/5hvfvObqKrKlVdeyb//+79PcOq+ENjfHeb/eXw/sXSWG1ZW0lzmpTucpDboIuCysqczgs9h4aql5Ube02GVuHaFvuSnaRqvtgxwrF8XSWosdtGa63AJOG3s746QzVWnX7G4lDKfg7ahhGEypmmwtzNsBDOqpiErKllFzVP8NRmlvtjJ//vUIUJJmcqAg49cVEc4keF7z7XQG0mxvr6I+y5uLPja5w700h9No2oaiUyWAz1RaoMuZEUjq+r/SaJAbZGLJ/boLY5XLimbtBC7scRN4zjRPRMTk/ODlr4obxwbwm4RuWppOUG3jX1d4bzW7MlsV14/OkhLX5Rij52rlpaxqMzNvz/fQk84RZHHxi1rq9jXFeZQTizU57RysDvCJQtLefeywi3feQi6/Kem6f8GGI5n+PPBPlKywqbGIIum2EE1GTMKZr70pS/xiU98gueff96omdm+fTtPPPEEP/jBDwB45plnuPzyy0+5r1/+8pesWbNm0r+3trbypS99iR07dlBeXs5NN93Ef/7nf/LJT35yJkOfdyiqRutAHJsk8uXf7aMrpHcS/fjVVq5eWk6p18GJwQThZAa7RcJukRAFYUL9Begtcy8f6SeWyuK06XlNm0XC47DwX6+2Gl1KR/vjhsGXz2FFUTVCyQwOi5SXnnjhUL9Re/H8wT4qfI55pzSbyaq0DenifjVF0ys86w4l2dMZpqnETfMkP8SfvHaCWFpGFPTl2l+93UksnTVST0/t7WFhmYdLCqgyx9MK8Yxe7JtVNexWkSf3dDMQ0wuDn3inm/svbWIwntYLgDUIJXXbiEL5bRMTk/OTeDrLH3Z3MxhPYxFFMorKdSsqeWa/XnQ7EIVn9/dy67oaUrJC21ACv1P3wzvaH+ONY7pm2EAsg9MmEUnKRFJZECCVyfL8oX5skkhXKElGUYkkZfpjkxsNj0dWVPxO/VoiCQKaBn/a12MoFD+1t4dKv2NCR+h0mFEw87GPfYxly5bx/e9/n8ceewyAxYsX8+KLL7J161YAI910ujz66KPceOONVFTowm8f//jH+cY3vnFBBDOapvHbnZ2GJfqIPQCAqmpEU1lKvbqw3aHemKHa67CJBYOZnnCSPR1hsqqu5ltf7OaDW+oB/a5d91RSqQo4EXIXw4DLSjqr0B1O4bRKlHtHg5VYOt+XY6RuY76QVVR+9XY7fRH9R3lxc0meX9XJODEY58Hf7SMlK0iiwN9euZAtBTqEhhIyoigY9vT90TRpJT9fPBjPTHgdQH2Jm9bBOKqmC2B5bBaiY77jrKoRz2RJZBTjjiuT1QqmmUxMTM5f4ukse7vCRnoonVW5bGGpoV01sk1KVvj5m22Ek3rZwHuWVSCPm4/i6SxtgwkGY7lV4bRA22CcZdV+EhmFVFbFZQX7ONPbk9FQ7KY/kjYKgG0WMe96oagayYxy9oMZgIsvvpiLL754xm88wr333oumaWzatIlvfvOblJbm36G2tbVRX19vPG5oaKCtrW3S/aXTadLp0YgxEomc9hjPNq+1DHCkL4bTJnFiMI5F1E+amiIX7cMJNE2jpsjFwjIviqbhtEn4nRYyWQ0BSGay/PzNNjQ0LltYOtrqpuk2B+GkjMMq5Z3EFy0oQVb0M7++2EVJzkyybSiBy2ZhRU546UhflDV1AQAWV/h4/lA/qYzCogovdTNsqTtX9EXTRiADegptqsHMS4f76QknScm6oN1zB/sKBjO3rKnkrRNDZLIqbpuF2zZU0zWc4o1jg6RllXKfnUubC9ev2CQBt92Comg4rbrzdVOJh0ffbkdRNS5aUEKx28aa2oAhNLW8ynfB6/2YmFyIDMYynBiMI4oCZV47lX4HVQEHXSHdaHJtXRFtQwnCydGygX1dYa5fWcn3nztC62Acn8PKe5aVo+ZWd1VFQxShrtiNiICGXl6gUtifcTI2NxYTTspomi7EWhVwsrauiJdywnl1QVdeB+1MmHEwo6oqLS0t9PX1oar5kd1ll102pX289NJL1NXVIcsyX/ziF/nwhz/ME088MdMhAfDQQw/xla985bT2cS5p6YvyZqsuV69EVXrDaapzyro3rKpkYbmHvnCKdy+rYCCW5khflHKfgz/uFugMpXDbLQwnsvRG9FWc3+/u4uY11UTTMgd7omSyKrZcRH0k14kEsL6+iLqcnUF1wGl0M/md1jx/D5/DSkuf/rq2oTh1QZexz8F4etJq9rmIx2HJ6/AJnMIhdiyyohp3FtkMJOXCq1Juh41rl1XQF0tTE3CiqgKqBovLPfRH0yws9xFOyQQ9E403ZUXDYRFRRM1I+/VFUzQUu1FUjVQmS0pWuXyRrvCsqCoXNU3dy8RkfjPdVmuT8wdF1TjWH0MSBRpL3CQyCgOxFFZJMHS/LJLIbetq6A6ncNkkij12eiOpvPnc77TyZusQ3eEk8XQWNHj2YC/vWVbBe5ZVMBhPU+SysarGz8GeKB67BbtFxCqJ07IaWFblo8LvIJ7OUunX/fsmu+bMlBkFM2+88QZ33303J06cMCbZEQRBQFGm9iHr6vQ+eavVyqc//WkWLVpUcJujR48aj48fP268rhBf+MIXeOCBB4zHkUiE2tr5I6U/YjcAIIkiq2r9uG0WrBaRyxeWGpbsnaEkv93ZSVbVEIUw8YxCIpNFVtQ8o7DO4SSPbDuBJIoc7o3ic1jJKCpWSZjQtl3IR6jc5+A9yyrY1xXG77QSS2d5fLfeYTMYS1PssRvprbFjnw/4HFZuWFXJjrYQLpvEZQX8TSZjdW2AReVeeiMp/E4rWxoLi9DF01mCHjvB3F1HIpPljWOD7GgLAxo9kTRXLS0tWJhrEQUyioqq6r8rTdOIpxXj+Cqa3r304uE+DnTrYoYDsQw3rame5jdhYmIyX9A0jcd3dxmK7curfDSUuAm67URTutK336nPERZJzBOhGz+fX7aolB++dJSWnL/SIDJvHB3k765aRGSpzIkhXWdmbW0RkWSWuqCLSErW622806uPDLptBN35N22FrjkzZUbBzMc//nE2bNjAH//4RyorK2ckpRyPx5FlmUAgAMAjjzzC2rVrJ2x32223cckll/C///f/pry8nB/84Afceeedk+7Xbrdjt5+5L+hss7Dcw9snhgknZaySwJVLygoWph7uiRorCoPxDLF0lmVjUkFP7u1G02BBzugLoCrgoHUgTlZVsVksvHtZ2YT9FiKeyRJL6wq1xwcS2Cz6ys5IhC8IuiT/sf4oLx3up9Lv4N3LyrFOI6d6rmgq9RjGmdNhUbmXi5tLiKay2Cwi6xsKp6dW1QQ40hcjk/MuWVzh5f+8dpxkJoui6k6z/dE00ZTM0/t6dQXgGj/r64M4bRaKc+k+n9OKIAgsKHXzy+16mmlrczFeh4Xtx4c51q+vloWTGa5ZXkF3OMXLR/oRBYGrlpbNqxUzE5MLlb5oij8f0KUXti4oLuiRFM/oNzB7O8MIgkBfNMXXliynNuhiT2cYDbg4l7p+pyPEjhPDuOwWrllWgd9lZVmVj2VVo1pX4WSW0SUJzTCp3dyUb0a7Mrc6k5IVXDYpbx9zgRkFM0eOHOHRRx+lubl5xm/c29vLbbfdhqIoaJpGU1MTP/nJTwC4//77ufHGG7nxxhtpamriK1/5ilGfc8UVV/BXf/VXM37fuY7LZuGeLXX0RdIEXNZJC6L8Y1IidouIqo7WSRwfiOsV44JG21CC5jIvkiiQllU21AVIZVX8ThspOT892DoQJyUrLCj1EE7K9EVTiAi8cmQAgFAiQ28kZUT69cVubl9fSzQt0x9JG8Zh4aRMwGU7ryXzvQ4rH9xST380TZHbNqkEeIXfwYe3NjAcz1DqteOwSkiigEUSARVBAJukm4Du7QqTllX6o2mqAy6WV/mIpjKkZJW6oAu/y0p3OEVTqdsomMsoKscH4iQy+gTUOpBAUTT++E6XUQP1h93dfOyyprP11ZiYmMyQJ/f0MJRrCHhybw/VRU4cFoljAzFUDd23KKuy48QwyVzQ8dbxIZJZjYZcyt9hFXHZLQzG0jx3sA9Ng+GEzLMHerltfc2E91xe5SPotiJnNSRJYHF54SClxGPnw1vrGYxlKPHYcdrmVm3ejIKZzZs309LSclrBTFNTEzt37iz4tx/96Ed5jz/2sY9dUErCdot0Sn+KNTUBUhmFrnCKuhGdmY4wLpvEH97pMqJru0VkUbmHjKJRF3TSNpQ09jFyAQR45cgA24/rtTqSSM7VWSCSkrGKAk6bBRBYWeM3lgovbi7B77Lid1npHB7dL0xeQ3I+4bCe+jiBbrQ2NthpKvGw/fgQmibgc1ipCDh4+fAA+7v0YnW7RWQ4kSHgshJN6SJ4oqD7KyUyCi6bvi9Vg1RGYUGZm7bBJBoatUUuUlnFCGRA73bTtOkV7JmYmJx9xs7JiqqRyaq8cKjfcMluKnWzpTEICMZvXNMglsxwIKcBE07qzQxXLMrvZkrIhcsAbllXQ+tAnDdah6gOOPniDUsmHZ/LZsEVnJtK7zMa1ac+9Sk++9nP0tPTw8qVKycI2K1ateqMDG4u82rLAAd7ogTdVq5ZXmFcYKZKVyjJnw/2oSgqlywsNZQTNU3jpSMDHOmNUuq1s6DUzfbjw1glkauXlRtux6IosLV5tNjzZ2+e4MVD/ficFopcVrrD+okbdNtIZBTiGYXGEjehZJZIUsZmEXHZJP7r1VbsFoneSJIRNaPDvTEqfA7cdgtum4VMrutJEgUuX1RaMC2ztMrHnk69NdBhlVhZHZjuV3pO2NMRZvvxIVw2ifcsr5iQ050MTdN4/lAfx/rjeh56efmUTTbtVhFnboXGkbMZ0DSV/liarKJR6rEhCrqfydH+GHJWRUBv697YUMTLuZWyReVeity6PcLh3hhosKDMTbHHzopqv6Fls6FBN4Y90B3hjWO6AvC7l5VRNs2ct4mJyewy/vftsVt46/gQrQNxNE1fHb+4uYQyn51srvGmqsiZ+32H6YmkczctGlUBJ6qmsbs9hN0icf+lujjnm8cG2dsVwe+0cu2KCjx2Cw+8Z/G5+shnjBkFM7fddhsAH/3oR43nRgoUp1MAPF851h9jW67jKJKUeeXIAO9ZXjGtfTyxp9vQBHhyTzfvW11JLK2QVfQlRNAVEp8/2Ed9sdt4TSG12Hc6Qobsvd52l3NS1SAlq3SFkgiCwO72EJcvKiGUzFLutfPsgb6cCaVM+1DSWGXwOizIikpfJIXXaeW6FeWEElkq/I5J60t8ubTLYDxDkcs67eDuXBBKZAwn13BS5pn9PdyxsY5EJsux/jh+p3XSlZf93RF2t+vBQjQVI+CycunCUgZiaXrCKSr8jklbDZOygt9lQ1FVrJJIWlZJZzWKnFYUTcMiimRVjbeODzMUz6BpGnu7wgzF0qzPGYImMgqbc23kfdG0HgxrMBSXySoqVy8rZ1WNH1EQKPXaiaWzPL2v1zjef9rbw4cuajjj36mJicnMGfl9JzO6Kq4kChwfjDOQE6hTNQ2XReSKRaW8dnQQSRS4YlEZh3uj9ETSaJp+o7W7I8xwIoMoCDSXebBKIu3DSaqHE7x2VBfIiyRlXjzUzw2rKicdz3xiRlec1tbWMz2OeUVy3HLd+MdT2seY5cSeSIr/easDqyQSSmZwWnUlX0XT8gy5JnufEd2AEcp9di5qKkEDhuNphuKy8Z6P7+7G57SSkhWSskKRS1+JaCzVdWtSssqmxiJ+s6OTSCqLomm8eGhALxBr11uSV9UECo7DYZUKOjbPVVKymr8Mm1EMUamRQPPyxaWsqysq8Npx50BGoTuc5NG3OsiqGhZR4Lb1NYYX1lgail20DjhJZhSKPTZ8TiuNpW76oinSWZUyr94hls1ZRWiAVYOUovD8oT4jiOoKJXn/uhrSsq5hA7qicVbVsEgYq3gAaVkx3NNhZuesiYnJ7DL2992Z+31Lgkgyo6ABQbcAAhzqjdETSSEAJwZjBF0WJEFAzZXyCozOUSN1l0lZmThvnUfzwIzaTerr60/63/nOglIPJbkOIZtFLHixOxVjxdmcVsno/PHYLcYF1uvQ7/ZH2DyJoNvGXL8+6Kmg29bX8r7VVdy4uopNjUEO9UTY0TZMZyhhtPU6rLrx1862YfZ0hlheFeDaFZXcvLaaeFqhusjF0kofNoto2BwAHMzlbs8Hyrx2oyVaFAQ2NQbpDCXzTNYOTfJ5l1T48OesHRxWiTW1AVr6YkaHWVbVDD2e8Wxo0H1Illb6WFbpo7nMQ0Oxm6N9cQ73xgglZN29tsSt56htEsUeG6UeR9733x1OEUln2dgwev6tqQsUFM0Lum0sLNdX1QQBNk3SSm5iYnLuGP/7Hk7KpLIKg/EMQ/EMmaxCf0xvxCjx2Cn22DncG+e65WWU+exGc8HWBSVU+Z3GdUEUBDY2FFFf7DYsZyyiYKwEnQ/MOBfw05/+lB/84Ae0trby+uuvU19fz3e+8x0aGxu56aabzuQY5xwOq8SdG2sZiKXxOax5ui5TZXOT3naXVVUO9UQNu3WrJHLt8jL6Y2nqgi4qfE5+s7MDj83C2tpA3j76Iil6IimqAk6+fstKDvZEKPbYqA6MpkaODyRoLPWQyapksgqxdBa/00omq6c4FpXrnU6dwwnjNcVjBNwcVglJGI15i6dYUzIfEEWBG1dX0R9L47BI+F1WBmNpREEwVjEmq6Fx2y25tFqagNOG0ybRF833Khl5bU84RV80RU2Ri6DbRk2Ri49sbSCaylLssWGVRP60ryfX2STQlfN8unRRKaGkTCyVZW2tXngddNkMPxOHVcJtl9jaXMLiCi+qNrlugyAI3LCykr6GNHaLSMB1/hxHE5PzhSKnlX3DERRNozrgwmMX6RxOGPNRVziJ32HBbZcMXa9ijw273c6f/u5i/vX5Y1T47XxkaxOCIHDL2mp9frNKxs3X7etrGIhlcNul07IPmGvMKJh5+OGHefDBB/n0pz/N17/+daNGJhAI8J3vfOe8D2ZADzpOV7tj5GIXzF1YhuIZKv0OXm4ZIC2r7GobZn931FgpaBmI87+u0Qu12ocSPLajE1XTUxq3b6gtmP5Jygo2SdRVf+0WmsvcqJreMbO/K2J0uIxdblxbW0Qmq9EbSeVWByT2d+sFY1sXnF8Ks6Io5KVjij123ru6kr2dYXwOK1ubJ1/BsFnyz4EV1X5SskLHcJKaIicrqv0c64/x+91daJq+/Qc21FLqtevF1WOC4PahBMMJvSUzKSv0R9O0DyVoG0ygaBoHemIICNywqpJXWwbJKCqbGoJG0XHxFKTABSH/s5qYmMwtPA4LwwkZRdOoDwqIiMTSCumcjEYslUUQBP7+miX8Yns7Vkng3i0NZBWV3+7uxWG1EEoovHCon3ctKZswv4EupDffDIGnwoyCmX/913/lhz/8ITfffDPf/OY3jec3bNjA5z73uTM2uAsFiyQa6aSdbcMc7I4YWgOtAwkkUb8QvdqiC9IlMllERlcPsjlp60In6Ib6IF2hJLKiUe5zcO2KSqySiKZpqJqeRhEE2DJGHEkUhQkaMYXEm85XFpR6WDADIT3QU0gbGkYf7++KcKA7QjydJeCycaw/hssm8cSebobiGRZVeLliUSkNxW5a+mKomobbbqGmyMkvtrWRUVQUVaMvmuJQb5T19UVcu2J6xeYmJibnlnBC5sm93URSMiurA5NqcLUPJ43O1qSsMJyUQdNGffQ0CQ1YUunjf9+43HhdfzRN/5iV4cO9Ud61ZGqiqOcLMy4ALqTWa7fbicfjpz2oC5E3jw1yYiiBoGn05swPM1mFeCaL2yYBGv3RNId6orrEvaJS5B4VLnLaJHa3h/A6LNQXuznYE0HTYEmFl/subiSezlLs0XOqoAdH162oYGNDEJtFNJYgLzSSGYUjfVGcVskI2KIpmWP9cbwOy0nVgQdjadqHk5R57Uahb18kRVc4RZXfQZnPQW8kRSihF2D3R9OEEjKvtOiaMglZYSieobbIxdbmEkRRIJnJUuK1U+F3ksyqxiQWS2fxzDGRKhMTk6nxwuE+DnRHSGdVhuMZ6opdBZslgi4bezrDqKpGVZETv1NC0WDEtkjVCl+0vQ4LdqtorOBMZaX2fGNGwUxjYyO7du2aUOz71FNPsXTp0jMysAuJ3+/u5Gdv6E7gGUWlLuAkrejpI5fNQjyTxSLqxl6He/UCMYdV5IrFpWQ1KPfaeev4cJ6l+ggHe6K8f31NwboeIde2e6GSyar8cnsbw7lgY0NDig31QX6xrd34Li9dWMKGAlYF/dE0v9zehqxoCAK8d1UVTpvEr9/uQFE1REHgtvXV1ARd1Ba5iKWzBFxWSrw23mwdYn+3LpAnibplxeWLSrFKApFUlhVVPoJuG5ctLOF5VSWTVWku9eCbhhGmiYnJ3OFQT9Qo7u2URMKJTMFgxmWTCCdlFFWjrtiFiEgmqzCyMJPOKmgFDBkdVolb1lbz9olh7BaJreex+vpkzCiYeeCBB/jkJz9JKpVC0zS2bdvGI488wkMPPTRBvfdCRlZUntrbQ8dwkuoiJ9etqCjoV7S9ddj4tyRAfzyNgIDfaeX6lRX0RTMIgu7HtL87gqJqVBc5WV1XRE2Ri6P9MWLHdN0bVdPY1xVhZbXu09Q+lCAlKwU7XC50BmJpI5AB3UW8KuDMCwqP9MUKBjPH+mMc6I4SSmRw2y0sKPXgd1pzysn6cTjWH2dhmZuHX4gyHJepKXKysNTDno4wkijo3kwWCZtFxGYRuWJx/rLwlUvKyWQ1VE1jQZmHCrPexcRkXuKySUZjgW5pItIfTfPU3m7iGYWNDUHW1xexrztCNKUHM21DCQbjulaMRdIDGEkSiaezdIVSvHS4H1EUuHppOXXFLir9Tt67av5IY5xpZhTM3H///TidTr74xS+SSCS4++67qaqq4rvf/e5JTSAvNHa1h4z23KN9MXa2hfJaskeoKXLyTkfISCk0lbrxOWzYLSIVfqde52IReeiJA5R47Kiavhqg5i6cQZfNuDiKgkDZmNUWr8OiF/+aTMDvtGKziIaWT4nXnvddAobw3XA8Q+tgnGK3jfpiN6GkbAhZhZMyvZHUhDqbYo+NJ/f2YhVFgm4bGUXlzwf7WVjupS+aJpNVcdmlSYvxFld4qS5ykpIVit02047AxGSesqTCRyKjGIazpV47T+3t5lBPFFnRiCRlGopddA0nDc+89qEkTptEdZGTwZguiBdw2XBbJX6V07MCeGJvNx+/fMG5/Hhzghm3Zt9zzz3cc889JBIJYrEYZWUXVrHRVBgreFfo8QgbG4K80jJANCUTcFopctmNlZR0VjXynwtKPcRzKsHlfge2XCdLkdvGTWuq2JPrwFlW6ePttmE0TWNzYzFigWVJE729+ua11exqC+GySVy0oBiHVeLG1VXs7dK/y4sWFBNOyDyyvc3IR797aTklHjsLSj0MJzK4bRbqgi6WVflIZ0e7mZZX+XliTw+iKGDLHYOEnGVLUxWCoHevLSr3nrQrbryvk4mJyfzj8sWl2K0i4aTMiipdZuFAd5QjuZvd7nCSeFox6vYUVbcjEAWBb31gNd97tgVFU/nkFc1YLJIRyADIWdX0XuM0gpkRXC4XLtepzfYuREYs0yNJGa/Dwqpaf8HtjvRFsUmiLpBmtxjFXg6rxIYxokaXLSolkVFQVI2F5R7KfaMrMPXFbsP2AOCaadorXKhUB5wTctcNJW4aSka/y7YhvSNpMKarM1f6Hdy0ppp9lV4GYxlcNskQn1pbV8TaMSKKt6yp4kB3mHhaV/u9bnklkiicdy3uJiYmkxNLZTkxmCCSkgk4bTSUuPHYLQiCbhTptlsQRXjX4jJUTUPTYGW1P2fk6+cHH1qft7/19UW8fWIYQYCtzSUXfCAD0whm1q5dO+UvbMeOHTMe0PmEz2Hl3ovqCSdl/E5rwXoZ0EXVRuo0BmMZblhZqTsyF7koG1MnsajcS02Rk5SsUuSymifwWSKeUejLdZjF0ll6wimcNom7N9URTsp4HJZJTSaby71898619IZT1BQ5cZzEs+pIb5RISqa5zHvBdpeZmJyPvHi432id3n58iIYSF8urfQiCLq3hd1oocumCmo2lbuSsSlFOhyyrqOzvjqBqsCynyn7ZolJW1wQQRP06YzKNYObmm2+exWGcv1glcVLDwREaS9y0DSVIygpum4U3jw1S5LbzTkeYrKqxrMpnbKvL28/2qE3G4nNYWVTuZTCexmmVjFUbiyROqQXS67CeUmlzW+sQr7bobrlvHR/mg1vqZ6QsbWJypmj4hz9Oedvj37xhFkcy/8ko+SUGsqJx9bJyvA4ryUyWVTUB4/fusVtgzLTy+DtdHB/QFdoP90T5wMZaAPxmd2MeU54tv/zlL8/mOOY1+7rCvHi4H4socPWyCsPvZ6psbiqmM5QiJStkVRWB0RWX5w/18fyhPmySyLUrKiZ1cTbJ50hvlG07+hEEvcZlRIhqJiws97Ci2kdXKIXDKuUJDI4lk1X5454uOoaS1ASd3LCyCptlasXXx/pHfZwSGYXucOq0xmxiYjJ3qAo4+PHLx0hkFFZU+6kLupBEgcsXlZ70dYqqGYEM6OaTZndqYU67zeWv//qvGRgYOBNjmZekZIVn9/eRllXiaYWn9vZMex/lPgcfvaSBj2xt4M5NdUYbnqyoHB+Ik8mqxNJZ/rRv+vu+UPnzgT7dGTyj8Kd9PWhj7bGniVUSuX19LR/Z2sBHL2mYtPtoV3uI4wMJsrkJaGfbcMHtClE2pv7JIgrnlQeWicmFzpN7evA5rJR57QzG0rx9YmhKr5NEgZIxXnl+pxX7FG+QLjROex37//7f/8vnPvc5SkouzIJGVdMMWwEARZ1ZZbndImG3SBS5bbx3VSUtfTGcVokdYy6IsjLzC/KFxthjklX0grrTKTESRcHIYU9GdtxS8tiOg1Nx2cJSHFaJSDLL8irfKd/LxMRk/pBRVERRQMytuqcn6WwtxM1rq9nWOoSm6Z2vZq1kYU47mDmdO975iqZpPL2/l0M9UYrcNjx2C88d6kMS4O7N9ad9sjWXeWkuy3khCQI7TgwjCgKXLrwwA8aZsKkhyO4+XWzwkoUl02pPf+FQH+90hPE5LLxvdRVBty3veN+4uqpgge6q2gCHeqOEEjIBl5XV41zOT4ZFEs0OJxOT85StTUGeP9hHOqvSWOziosapK/R6HVauWlo+i6M7PzArDGdAS1+M/V26HH1PKMmJoQRragMIwInBxMlfPE0uX1TKuroAFlE0fJhMTs2GxiCblrgQYFqFtB3DCXa2hQAYTsi8eLifldV+43gPRNO81jLAdSsrJ7zWY7dw70UNxFJZPA6L4YNlYmJyYfPWiRD1xS4URcNmEdnRPsymaQQ0JqfmtIOZaDR6JsYxrxibPtDQi7RGVHZnmmY6GafqhDEpzEzE5pRxqaGsqk1IF50sfSSJgtllYGJikoesqFhEkZFyl8kEVE1mzpQriSKRyJT/O99ZWOahpkgXWvM7rbxvtX6XLgoCly8qM3Oa85jaIhcLcl1EdqvI1gXFecfbZZPY3DTRksLExMRkMj6woRa7Vb/cLq7wssVclTnjTPnWNRAInPIiPbIioSjKaQ9sLmORRN6/voZoOovTKmGVRK5YnEUUBOwWkT0dYWLpLEsrvQRMUZh5hSgKvG9VJbF0FnvOBBKYcLwBukJJjg/GKfc5JvgymZiYmIywoSHIv9+9nmhKptxnRxRFVFVjb5euDr6symcKZZ4mUw5mnn/++dkcx7xDEIQ85UVXTtn1xcP97DihdyC90xHiQxfVG38zmR8IgjAhtTf+ePeEU/zqrQ6ja+raFRUsrfRhYmJiUgiPw4LHMXoteOFwH7vbwwDs7QzzoYvqTf2Y02DKV9nLL798Nsdx3tA2GDf+ncgo9EfT1Bebwcz5RvtwIq/9+8RgwgxmTExMpsxYMbxYOstgPDPBJ85k6pzWVTaRSNDW1kYmk8l7ftWqVac1qPlMpd/JQEz/PmyWqcndm8w/KnwOwyQOdIVPExMTk6lSFXAQTsqAbipcZDYOnBYzCmb6+/u57777ePLJJwv+/XyvmTkZVywuxee0Ek/r4mcz6agxmfvUBl3cuLqK1gG9ZmZFdWFHdJO5zXT8h8D0IDI5c1y1tJyAy0YyZ3FgliOcHjP69j796U8TCoV48803ueKKK/jNb35Db28vX/va1/jnf/7nMz3GeYVFEtnUaHa7XAg0lXpoMgt/TUxMZoBVEif1eTOZPjMKZp577jl+97vfsWHDBkRRpL6+nquvvhqfz8dDDz3EDTeYdy8mJiYmJiYmZ4cZOVbF43HKysoAKCoqor+/H4CVK1eyY8eOKe0jlUpx8803s2jRIlavXs3VV19NS0vLhO2OHz+OJEmsWbPG+O/o0aMzGbaJiYmJiYnJeciMVmYWL17MoUOHaGhoYPXq1fzHf/wHDQ0N/OAHP6CycqLM+2T85V/+Jddddx2CIPD973+f+++/nxdeeGHCdl6vl127ds1kqCYmJiYms4xZe2RyrplRMPN3f/d3dHd3A/DlL3+Za6+9lp/97GfYbDb++7//e0r7cDgcXH/99cbjLVu28K1vfWsmw8kjnU6TTqeNxxeCIrGJiYmJicmFzIyCmQ9+8IPGv9evX8+JEyc4ePAgdXV1lJTMzPn3u9/9LjfddFPBv8XjcTZu3IiiKNx888384z/+I5JUWFzooYce4itf+cqMxmBiYmJiYmIy/5hRzcxXv/pVEolRwR+Xy8W6detwu9189atfnfb+vvGNb9DS0sJDDz004W+VlZV0dnayfft2nn32WV5++eWTdkx94QtfIBwOG/+1t7dPezwmJiYmJiYm84cZBTNf+cpXiMViE55PJBLTXhX51re+xWOPPcaTTz6Jy+Wa8He73W4UGweDQT760Y/y8ssvT7o/u92Oz+fL+8/ExMTExMTk/GVGwcyIoeR4du/eTTA4dY2Vb3/72zzyyCM888wzBAKBgtv09fUhy7pKYjqd5rHHHmPt2rUzGbaJiYmJiYnJeci0amaKiooQBAFBEFi0aFFeQKMoCrFYjI9//ONT2ldHRwef/exnaWpq4l3vehegr6q8+eabPPjgg1RVVfHxj3+cV155hQcffBBJkshms1x55ZX84z/+43SGbWJiYmJiYnIeM61g5jvf+Q6apvHRj36Ur3zlK/j9oxLuNpuNhoYGLrroointq6amBm2MUd9Yxtbd3Hrrrdx6663TGaaJiYmJiYnJBcS0gpkPf/jDADQ2NnLxxRdjsVxYXhKKqpGUFdw2qWCabQRZUclkVdymL5PJHCORyWIRRWyWGWWY81BVjYSs4LJKiOLkvweTqTFdrRaTiSQzCqIIdkvhbtcR4uksNouIVTr934HJ3GBGV9vLL7+co0eP8l//9V8cPXqU7373u5SVlfHkk09SV1fH8uXLz/Q4zzlD8QyP7eggmspSHXByy7rqgj+E9qEEv9/dRSarsqTCy7UrKk4a+JiYnC1eONTHzrYQFlHg2hUVLCz3znhfKVnh0bc76I+mCbis3La+Bp/DdP01OXe8cmSA7ceHkESB9ywvZ0nFxOYPTdP4455ujvTGsFtFblpTTXXAeQ5Ga3KmmVFY+uKLL7Jy5UrefPNNHnvsMaOzaffu3Xz5y18+owOcK2xrHSKaygLQGUpysDtacLuXjwyQyaoAHOyJ0hlKnrUxmphMxnA8w862EABZVePFw/2ntb89nWH6o7o4ZSgh8/aJ4dMdoonJjImkZLYfHwL0FfQXDhU+v9uGEhzp1a9XaVnl1ZaBszZGk9llRsHMP/zDP/C1r32NZ555BpvNZjx/5ZVX8sYbb5yxwc0lpHHL6OIk35wkgqKqZLIKAJbJNgRCiQx9kdQp3zuezpKSlakP1sQEPaWUzOjnzUgaKKOoZFV1wvk8XURBQNM00lkFTdOw5PanqBqRlIyqFq6HMzGZDURBQBD0FH9WVY3zESCWzpLOzceiIAAamayCompIuVVzTdPPW1lRz8XwTc4AM0oz7dmzh5///OcTni8rK2Ng4PyMdLc0BemNpBiMZVhQ5i64hAmwsMzDU3t7SMoKG+qDlPvsBbf7zY5O/uetdlRN491Ly/jYZQsKbvfykX7eOj6MKAi8e1kZy6v8BbczMRnL60cHeePYIKIg8K4lpayqCeC2SWw7NIRFErj/ksbT2v+icg8/39ZGx1CCUq+du7fUE03J/OqtDsJJmWKPjfevr8FlM+vGTGYfj92C12Hl2f29SKLAR7Y2APCnfT3s74pgEQWuX1VJY7GbpKzyTnsIl93CNcvLySoqv9nZScdwEqdN4ta11ZT5HOf2A5lMmxnNNIFAgO7ubhob8yfEnTt3Ul1dfUYGNhdIyQpvtg4hZ1XW1PoRBYGknMVls+Td2e7vDPPwi0eRJIHGoIcilw1XViGRydIZSlJTNFEM8LGdHai5bq5nD/Rxy7pqSjz5P6BISuat4/ryvappvHxkwAxmLiAyWZXtx4eIp7Osrg1Q7nPknZPr6osIum3E0lm2tw6hobG+PohNEnnj2CCgnzcvHe6nOuCkbSiBrCgIiLzTEeLyxWX0hFO80xHCY7ewsTE45YLIgz1RHBaREo8Nj93Cge4IkiAQTuqaUIOxDO90hNnSVDxr34+JyQjhpMz21kEOdoeRJIHXW/pYWeNnf5fuzZdVNV45MoAkCMhZlWKPDYdVYm9XBIsk0jGslwMkM/rv632rqzjSG+XYQJxyn4PVNX6z9nGOM6Ng5s477+Tzn/88v/rVrxAEAVVVefXVV/nc5z7Hvffee6bHeNaJpGRsksgf3ummfUi3bXj07XYG4xlEQWBXewiXTcRnt1LksvHpX+4imtbraV45MkBtkRNZ1RiMZYgms7SrCUq9NuxWiUgqi90iIokCmayKhobTaimYjpJyS6dpWUEUBCyieZd7IfHsgV4O9ei1WS39MT58UQNP7u3hnbZh0lmVYwMxPrK1kd/s7GQgV79yYjDBXZtqEQXBCJYlUSSRyfJKywDxjIyIQEbRuO+SJh59u51YOoskCkRSWa5dUVFwLJmMQkt/jOqgE7/TRm8kxZHeKIqq0R9N0zGUYEGpJ+81lpOksjJZlWRGwee0TPsikchkUVQNr1lwfEGztzOEKAgsq/LTF0ny7IE+srn05i/e6uSvr1wEQDqrIAkCkiiQyGTZ3xUmnlGwWgSKXDY21Bfl7dciCrQNJvjDO7qZ8v6uCJqmsbYufzuTucWMro7f+MY3+OQnP0ltbS2KorBs2TKy2Sz33HMPX/ziF8/0GM8amqbxp309HOiOYhEFhpMy3lx7dW8kjSCAKAlksgqff3QPWVVFECCckI19ZBSV/V0yGuB1WPj6E/uQFQg4LVyysJSBWAarJFDqtbGrLYSqaVy+qJSAyzZhPG67Bb/TytOtQ1gEgXu31p+tr8JkDtATHq2nSssqoaTMz948YUyupT47t6ytMQIZ0ItxNU3gqqVlvHi4H0kUuHpZOfG0wlAsQyyTRRAE7NYUQ7E0+7siuSBdD3oKBTPDsQz3/Z/t9EdTOKwSX7tpBU6rRDSdJZKUcdksOG0S6+qL6Awl6Q6nqA06WV0bKPi5usNJfrOzk7SsUlPk5Ja11VimuCK0pyPMcwf7UDWNDQ1FNJqNKPOS6bahH//mDXmPP/2LHWzvTCEIAlcuKePqZeVGIAOQyCgE3TYkUWB3ewibReLSRaWIwNGBOJGkjCgK1AfdNJd5WFbl41BPlCK3ja3NJRzuzW/w6I2kMZnbzCiYsdls/PCHP+TBBx9kz549xONx1q5dS3Nz85ke36yQVVS2tQ4RSWVZXuWjNqingfqiaV442E9LfwybJFDucxjBzIJSF9uPD5PJamRVBUUDND0ASsoKAgIIegGkRRTQNIikshwbiOO2WRmKZ4hnelhfH0RWNHacCLG4Qm+N7Y2keGZ/N4oKC8u9xh1uJCUTSshsatAtIlr64ly97Ox/XyazT1ZR2XZ8iEhy9Jws9lh59O12UrLCpsYgxW4bR3qjhtjkQDTNkZ4I5T47rx8bBA3W1RfhtEnUFDlZVO5FEqHc5+Cd9mFSWUU/Z9GIJGWyqkZXKElvJIVFEmkqGVndiXOgO4LfaWNTY5D/++YJ+qN6YJWSFX70Siu3b6jB77Qa7dgZWcVhlbh9Q+0pP+ubx4ZIy3qhZcdwkmMDcRpL3EbH4Moa/6Ttsi8d6TdWnN46PkzZgok3ASbnP28cG0K1OEHQ+PPBPjbU5dcwaujzeUtflL5oGrtF5O3jQwRcVjJZFXtOZ+lAdwRBELhmeQXXLB8N5OuDLl4XBZRcgNRY4j5rn81kZsw4b/HjH/+Yf/mXf+HIkSMALFy4kE9/+tPcf//9Z2xws8WLh/vZdmyQZFblUHeYey6qRxREBqMpXjs2iKLqE60G3LW5jqSs4nNa2NsZQRBUVFkjlpSxiPpSvigIWCQBEYG4ohiTraJAIq0HOoqq4XeOft0WSX9OD4ZUth0bRhAFDnRHuGtTPRV+BxZRyEsXWCUzZ3s20DSNUELGaZNwWE8uvnWmeOlIP7vbwwAc6Y3ywS31/HZnF32RNBoarx0dpCecxGmVUFUNDbBIIj6XlUyfagQpWUUjq6g8+naHISXQE07TXObKWZGM3r3G01n6oklSsoqoKLQPxxmMpfndri5jEk9nFZy2/O/AbpUo9zlYXuknnJTxOCzUFeuTvayoRFNZfA7LpKstlnHnsVUSef5gH/ty9Q0tfVE+dFEDfufENJJVEsjoHwtREIxuFJMLC1nVEDQNNMiiohToQuoeTvLi4X6yub/9bncXn3n3Ilw2iUxW7+gr9hRu0CjzObhjYy0nBhOU++zUF5vBzFxnRsHMgw8+yLe//W0+9alPGfYFr7/+Op/5zGdoa2vLsyOYi7xxbJCn9vWgqhp+p5W0omKVJMLJDE6rSDyjIQl6Xv/1o0Oomqbfqbps+IFYSkbVICMr2K0SVkVlZIXTYRXRNA0NAZcVilw2sqpG0Gvj8oWliJKI2ybxvlVV/HpHB6oKdUEn+7sjZFUNj91CdzhJhd+By2bhyiVlvNzSj00S8+4cTGYHVdX43e5Ojg8ksFlE3reqirriiQXcZ5q+McvYWVVjMJ7hxGCcdFYFNFQty4HuKH9z5QL+9bmjZFWNa5aVs7TSz7efOWzU1oSTMresqzYCGYC+aIq1tX6CLitDCRlBgJoiJ7GUTDKjEc8oCIJAOCEzGM8YgYz+2jT3bq5nW+sQh3oiBN12PveeRdQFXbQPJ2kbjFPhd7KhoYhwUuZXb7UTTWUpclm5fUNtQRXsS5tLCSVkQokMy6p8NBS78vQ+ZEVjOJ4pGMxcs7yCp/f1Iqsqly0sxaEV1nsyOb9ZWu7hcEhFAFZW+4mkJ0oB9EaTpGWVjKJvF0nKXLO8gv96tZVDvVEsgsCHttRN+h7lPgflZlfTvGFGwczDDz/MD3/4Q+666y7juRtvvJFVq1bxqU99as4HM0d6o4YOxkAsTdtQggWlXpxWCbfdYtSv2CzimCJKIadfIOJ1WNncVIzXYSUtZ/njnh7iuQJgl91KXZF+F2wRBVbV+LFZJERB4OZ11UZK6/vPHeHG1Xrn1/bWITKKfqeQlJXcBUxnZY2flTV6B1M6q/DCoT6SGYXVtQGqTOXKM07bUILjA3rRdyar8saxwbMSzDSVeujO1ci4bBKVfgc+h9UQphMFgfpiF9etrOTDW5uM12WzKscH4oaeTNtgApskUOl3GPtrKvXQWOJmbX0Rg7EMABsagsiKXoA+suQuKxqVfgdOm2Tsb0GpG5tN4j/v3TBhzDeursp7/OYYYcnhhMw7HWE2NwZ568Qw/dG0IWngd1n54Jb8+q+mUrfxWT12y6QXkfpiNx+7bPTzd3TM3WDGtCeYPW5dX8uwrF++GkpcOAs0ULjtFgRhtBBdFATahhJctKCEixaUABBNmfpd5wszCmZkWWbDhomT2/r168lmswVeMTcIJ2QQoLrIxVA8Q1bVUDXN0MKwWST+4pJGIqksAZeVjqEEsbR+si+p8PH+9TX0RFJsbAhS4rHTOhDDabWwpzNMVziNiD4p376hloFYhnctLgUBukJJqgJOKv2jwYdVEpEVfd/FXhs+hxVZUQm4bJR4CtcBPLO/11CvPDYQ5yNbG0z/pzOMdZxnkdVydtIYmxqDBN1WwskszWUe3HYLt2+o4Y97uomnFdbU+gte4Efm8LFSARZB4JZ11RzojiIJAsuqfEiiwNduWsmf9vfgtktcv7ySw/1RGks8DCcyWCWR5dV+vA4rd22so6U/ht9ppbnMM+E9J2N8GtRmEXm7bdhYdTncG8VtsxgB/Vi2LiihxGMnmsqysNwzIbVlYjKW962u4uBAFkGETQ1BdreH0OXwdKwCVAZcLCzz0h9NYbWIrKn1n7Pft8nsM6Mr4Yc+9CEefvhhvv3tb+c9/5//+Z/cc889Z2RgZ5o3jg6yb0DvOtpYX0QkJRNOymxpLKau2MWJwQSVfgfvXlZumJR1DCf4075eZEXlkuYSVlTna7wE3UGiKZn6Yg+CIOaW711cvaw8r910bBAzwnUrKnl6fw+KqvHhixpo6YsxGM+wpMI7ocV1hLGpiExW724xg5kzS3XAyabGILs7QngdVq5YVHbW3ru5LN8raUGZF7ulDwGBoNtO0D0xyNUQWF0TYFd7CA1YUe1DlETsFok147qJgh4bd20aXVZfVunnxjVVPH+oD6/dYqx4+F1W1tdPvw11fX0RfZE0naEkdUEXq2v8PL2/N2+b/li6YDADsOg0vKJMLizePj5szOeSIFDmtVPqsTGU6yytL3ayoNTDHZtqeXpfL267xMcvbz6nv2+T2eW0CoCffvpptmzZAsCbb75JW1sb9957Lw888ICx3fiA51zx9olhHG49SDgxlOQ7d6wtKOneGUqyqy2EyyZx0YJi/uIUSqkeu4VVNX5KvXohWXOZZ0q6GXXFLu6/dHS5fEOuY+lkNJd5DA8cv9M66QqOyelxcXMJFzeXnOthcKgnyqqaAACqBj2R1ITAWBIFrlhSZhTgVhc5p1W0fN/Fjdx3cf45fqw/xv7uCH6nlS1NxVMW0rNbJG5emy+auaDUY9TzWCWB+kkCGROT6TB2Pn/j2BB/eVkTa+qKONYfQxQELlmo/37v2VzPPZvzU5pz5fdtcmaZUTCzd+9e1q1bB8DRo0cBKCkpoaSkhL179xrbzSXFxLEdFBZJoJCeVzyd5bc7Ow2jyGg6O6EuYDyCIHDruhoO9kQQBYGllYVtDs4Ely4socLvIJFRWFTuOaXNvcn8xjZuSXyy433DykoO9kTRNFhSeXqrG/3RNI/v7jZqxbKKxruWzPzudXGFF5dNoj+Wpj7omrR7xMRkOhSaz5dVenWfMElkwTTSoybnBzMKZp5//vkzPY5Z593Lynm7Sy+IvGppecFAK5yUjUAGyBMjOxk2i2jcQc8mgiCYS/EXEO9eWs5Te7tJZBQ2NAQLpplAb9EenwKdKcOJjBHIgJ4WOl1qg65JU0smJjNh/HyeyCho6GrAoItHmlxYXDAFFwtKPaxdcPJVlhKPnSKXleHcD2FhuRndm5w7Sr12PnRRw1l9z+qAE7ddIp4rfF9o3uGazEHGz+eKqlHuc9Ab0QMc87y98Djvgxkl1zHU0dGBz3fqFNAlVSKtAzIOq0SjM01HR8dsD9HkDNLe3g5AW1sbgUDg3A5mnnJptUT7YAqvw0qpGKejI36uhzQp4493NjJwilecHtOZD2Z7LBcSI9/7yX7fW8o1jolZLBaBBT7ZnLvPAyIRXUhz5Dp+MgRN0yaqDZ1HbN++nU2bNp3rYZiYmJiYmJjMgG3btrFx48aTbnPeBzPDw8MEg0Ha29untDJzPrOzbYjXWoaMx4srvbx7aflJX3O0L8pTe0fba6sCDm5ZVzOt9/3Ry8cMLx6AuzfXUTRJ/cfp0tHRwfLlyy/o490fSfG/Hn3HeCyJAj+8dz1iAWGx8ZyJ4302MY/3uUPTNP7jxWN5itEfubgBl00ynn/rxBCaBqtrA9gkkQ9f3IDnNOQkzON9YRGJRKitrWVoaIiiopPLRZz3aSZJ0jtAfD7fBX/yV5QIOLozxuPy4qJTfiflqhWHezTNUF7infb3WFpcZBRTW0SBsuKiWRNFGxnbhXy8LQ4Xbq/XKGb3OSxTTrmdieN9NjGP97mlOBggktRrDG0WkZJgAKskGs+7PbqhqdvjxWmTKCkKTOjSmw7m8b4wGbmOn4zzPpg5n5AVle3Hh0ikFVbV+inzTs83ZHGFl3c6QuxsD1EfdLGx4dTCaFUBJ8uqvLx0eIBSr51LmkunPe7rV1Tw/KF+MlmVLU3BC17dVdM0drSFGIpnWFTumZaJXUpW2H58CFlRWVtbVHCFy2Wz8DfvauYX29uxiAL3XdwAwGAsza72EHaLxMbGooKt3lUBJ1csLmVfl64zc7kpKnZBkchk2X58GFXVWFdfVNAfC2AgluIX29oJJ2WKPXb8TiuXNJcYmkTvW13JC4f6cdslVFUXYrx4QclpBTImJifDDGbmEc/u7+VgToDscF+Uj2xtMKwYpkL7UILOUJJSj51ERmF/d3SCSux4huIZDvfEKPHY0TTY0TbMZYumF9AUe+y8f/3cTVWcbd5sHeL1o4MA7O+KcNemWsqmaGj3xJ5uTgzq3lFH++J8eGtDwQvE5qZiNjcVG4/TWYVH3+4gkfNcGoynuWlN9YTXAaytK2Jt3fQVgE3mP7/b1UVPztOrNWeZIhYQ5frGHw/SxcmfAQAAYgdJREFUGUoCEHBa+de71+Wdh2VeBx/YUDvr452u/9Xxb94wSyMxOdeYYfI8YsQ4ECAtq0YL+VTpjaQYWyHVM2Z/kzEQS5MdkxPviZz6NSYnp3fMd6hqGn1T1DOC/HMgls4SS0/NCy2SzBqBDEzt2JtcWGialnduhpMySXliF4mqqnnnYSgpM5zITNjOxORsYgYz84jGktF0hNdhoXiaRbS1QVeehUNDyamFzCr8DuzW0dOkYRopEZPCjE0rWSVhWu7nY8+BoNuGzzG1lbmAy0rANZoymE5qy+TCQMg5s49Q7nPgKpASFkWRBaWj50+F30Gpaa1ico4x00zziCsWl1Lq1VNESyu9U/LgCSdlntjTzXAiw7JKHx/YUMuJwThlPgeRpMwPXjyK3SJyzfKKghdVn8NKfdDNKy39lHrsWCX44UvHAF06/1dvdRBKZtjaVMLHr1hwxj8z6Hn8f3rqEMf6YzQUu/n8tUvwTPEifjaRFZUn9nTTMZykpsjJdSsqC6aA1tQG8NglBmMZmko9kyr77u8O8/3nWoinFa5eWsYHL2pgZbWfHSeGSckKly4swSKJ/Oqtdv7zpWNomsa9F9Vz79aJfmJWSWRppY8/7O7CaZNYUWUWT5pMZGW1n93tYUKJDNGUzD89dRBV0xARUNAocdu5fHEpX7xhKb/braekJAF++HIrly8uxWW1GAa64x9ftqh02nYv7UMJ/rRPf/2lC0sxz1qTyTBXZuYRgiCwotrPpsYgXkfhwrzxvHJkgJ5wirSssrMtREpW2NxUTLHHxvOH+khmFEIJmWfGuRuP0DaY4HBv1Cg2/vHLrUZ645+fPkxPOElaVnn+UB/bWgfP2Gcdy2Nvd3CwO0Imq3K4N8r/vNU+K+9zuuxqD3GsP04mq3KsP86u9tCk2zaXedncVGwYlBbihy+1MhjLkJIVHn+nm5beKM/s78Vtt1DssfNqyyCRRJp/e76FRCZLUlb40SutxJITl/wjKZk3jg1S7LHjsln488G+M/GRTc4zntnfh99ppT+aZn93hN3tYd7p0P/b0xEmmsry9L5eRFHkjo112K0SsgqJjMLT+3p5/J0uoqns6OPdncbjZ/b3kiqQtjoZT+3tyXt9Oju915tcOJjBzHlOZpxyYkbR23WzipZXPzPWk6rQ9gAakFG0gn8DSGZmZ6IZn7dPzdEJbfx3ONl3OlXGT9wJWcn7zlVNI53V8mqaFFUjrUyUjprq8Ta5cNE0jayiomkaqqY/VlQVVdXPMc14Tv9P0zTkMeeRomp556z+OP/v6jRlzcaf72PPdROTsZjBzHnOpsZiI9VRXeSkKVdzEXTbWFrpJZyUSWQULm4uoS+Som0wkSeC1VjiNkwCHVaJ941xEf/A+hrsuVRXU4mbixaUzMpnuHFNNR67hZSs4LZL3LTm5B5b54pVNX6jldXntLK6dnLzx1Aiw4nB+EnvVG9bV4OiaqRkhWWVPlZU+bikuQQxZ5K6qsZPqc/BdcsrDOPUKxaXFnSmDrptLM+llkRB4OLm0z9WiUyW4wNxoinT1O98QBAEtjaXIIoCtUEn1QEXDSVuaopcNJS4qA44sUgiGxt0eYWeSCrnX6fPF02lbpZV+hipytvQUMS7lpQx4um7vr5oSt2X3eEk7UMJNE3j4uYS4/Xr6otwT6N70+TC4qycGUeOHOH555+nr68PVc2/I3zwwQfPxhAuWKoDTv7ikkaSGQW/02q0WaqqRlJWcFhERFFgR9sQ/VE9PVEXdHHL2mpEUUASBW5dW004KeO0STisEpGUjAB4HVZuWVvNUDxDfbFrSgqzM8EqiaypCdAfSxP02LBNQUDpXOB1WLn3onoiqSxeh8XQ3BjP8YE4v9/dhaJq+J1W7txUW3CSL/HYWVcfIC2rLC73oKGnGRtL3GQVDX+uoPcf37uMOzbWomgaiysmryp4z/IKNjcWY7UI02rpL0Q4IfOL7W0kMgo2i8j719dQPsX2cpO5y/r6IhZXePU6GUFAUTUkMf//fqeVlw738/aJYUAvJnfZJA50R3OPXVy1tNwI7BeWe43XnYpXjgyw/fhQ7nUe3ruqiuYyj/F602/JZDJmPZj54Q9/yCc+8QlKSkqoqBi9gwT9TsAMZmYfh1WaUCw8lMhwfCBhrKw8f7CfFdX6SkLbUIKBeNqokxFFIU+czTemXsfvsuF3zW4nw/6uCFlNo8htQ9Ngf3eEy73TF+87G1gkcdKC3hF2d4SM1a9wUuZYf9z47seys20Yp9WC0wrdkTS9kRRVASfuAnLwzeXeKY3P75pardWpONATMVq9M1mVvZ1hM5g5TziV3YCmaXn1YCcG4ygqRqfkicEEljFdk9OxL9jZNmz8+0hvjGhKnnJ9oMmFzawHM1/72tf4+te/zuc///nZfiuTaeC0SlhEwchBj23xlUQB5xQ6pc4W4zuXTsfbZS7gneLn8TishpaQKAhzaol9/Jjn+zExmTqCIOC2W8bYGEhYJZF4TvPIZhFnrPTrcVgIJUbtEUzFYJOpMusz0PDwMLfffvtsv43JNHHbLVy0oJjf7dJbdT9xxQL2dEZIZRU2j+uW6hhOcKA7SsBlZWGZh53tIQR0pdhDPVHCSZllVT6qx7R290fTvNMRwmmV2NAQnPaklFVU3joxTCyVZWmVl7V1AdqHk1QHHKdULZ7rbG0qZn9XhO5wii1NQRpKCmu+bGks4rEdHURSMvdsrsPvsk7JzgD0FZ8dJ4YRRYGNDVOrVZgOy6t8DMUznBhKUOlzsL7eVAw+nxmxOUhksmgaeGwSrQMxNE23SfE6LNglEQR9bnnlyMBJ7RDGk8zo53XAZUUUBKySyMXNxQUtN0xMCjHrwcztt9/O008/zcc//vHZfiuTaZDOKrx9YthIiRzoiXJbAcuBoXiG3+zozK3gaPx+V5fxmucO9FLk1otND3ZH+NBF9QRcNpIZXTp/pLh1OCFzw6rKaY3vhUP97OkMA3CoN8qHLqrnisXnh0/Qro4wsqJR4rFzrD9BXyRV0M7gfz++nxODuunjf7x0jEuaS9h+fPiUdgaKqvHrtzsI5+6cu0NJ7txUd0Y/gyAI07a1MJm//H5XF93hFHs7w8iKaqzqWiSR9qEEq2sDFLlsOK364/ahBMdydghSATuE8Ty+u8uwR/A5rXxwS+2UXmdiMsKsBDPf+973jH83NzfzpS99iTfeeIOVK1diteZH6n/7t387G0MwOQVTlbcfa2eQVTW6w0kjmOkMpfC7bIiCPrENxNIEXDZCyUxel85MLBDGviaTVRmKZfJqdeYzhewMCgUzHUNJ499yVmVfV7SgnUHQkr86k5QVI5AB/bvUNC2vXs3EZKpompb7PWrE0lk0TW/TFgTQZEX//Ssa4WSGwRhYJP08iyRlEpnslGpexv7eI0mZeCZ73vzeTc4OsxLM/Mu//EveY4/Hw4svvsiLL76Y97wgCFMKZlKpFHfeeSf79+/H6XRSVlbGww8/THNz8xkd94XEiLz9SH56Mnn7ETuDtKxiEUWayzzG35rLPUabsMMqGQWgQbcNn9Nq5NQbik9tmzCehmI3/TnPIpdNosw3ubjcfKO+2M2xfn3F5WR2BosrvbyV6+xw2Sysq/OjahqHcmajk9kZuHPfV19E//4ait1mIGMyY/7/7Z13eBzV+bafmdneV1r1tpIly7It2XIvuIGJKQHj0EKJIWAShwAmhgQIBGJ+AUMAAyEEQgmQ0PLRSzBg426Me5EtS5bVe9/ed873x0qjXWllS0Yrae1zX5cu7czOzDlT951z3vM8DMPAGKtEZZsdOoUYXh+BiAu83IhZFl4/gZhjEN9lf1DVFmg5jFNLB5znlRGrEO4Jg1oK1SjKD6NEBxG5YiorK4d8m7/61a9w8cUXg2EY/P3vf8eKFSuwZcuWIS9npCGEYENxM8pabIhTSZFpUGJ/TSfEHIslExKQqh98YBAOMcfimmlpKG60QCpiQQiw8j/74PTyuCQ/EddOD3RLaGRi/Hx6OsqardApJDAaFDhabwEQkD6vaLPB7PBibIJaeAOTijhcOz0NxQ0WKCQcxg9SwhwA5mbHIkYpgc3tQ5ZBiY3HW1Db4ehjEzBScuc8T/DNsSZUtNmRoJHhpwVJA7KXAIAEtRTHGsxosboxw6iHTh7+Nnzgolz88ZOjsLh8uHFmOuI1ciyZIEOKTg6Pn8eEZA1EHIvKNju+O94MnhAsyo1HToIaV05JxdF6MziWQX6YkVI/Fj9P8PXRJlS125GkleGS/IHvP2X0UNVmx8bjzWizuYXh2D3/gVilBAtz43FpQRKO1psxe0wswoXFHBuQDRCxDIrqzfDzBBNTtGEdt4GAsniwzcGl+Uk42mBBfacDtZ1OvLq9AvNy4jCe2m5QBkjEw99HH30U9957LxSK0B9hp9OJp556akBDs2UyGS655BJhetasWXj66afDLut2u+F297gQWyyWM6z5yFDabMWxhkCdq9rt2HGyDZkGJZzw4+ujTVgxL2vIylJKRZhujAEA3PHuAWHkzCcH6zEny4C0rhaVGKUEM7NihfWCkz3H9aNropKKMCMz5ozrxjCM8CDbV9WB8hYbAKCi1Y4DNZ2Y1VWfr482Cc7RG4qb8dPs4TG8K260oKSrhaS2w4EfKtoHnNPz5vdVsLp8kIs5FNVbsLm0FRfkJfRZbvOJNuSn6gAAle0OtNvciFVJMSkoAZoQgq+KGgVF36+PNiHToISsK/E6UhTVm3GiObD/1e0O7K/uHBIhPsrwsv5oE1xeP4rqzAj0JhMQAAwYEBBMy4jBN8easHLBGBSmDyzJeyDLfX2sEXZ3oCt6Q3EzMg1KTE7TYU9lu6AkvvF4M7LilDRIpgyIiI97W7NmDWw2W5/5DocDa9asOaNtPv/881i6dGnY79auXQutViv8paWlnVEZI4XX16O+y3fJiwvfhZGpHyqC5e0JAeweX8TKGiy9pfe9QcdkpOTO3X3qNPBye6/b37Huu999yyAkYFXQjY8n8A9SMv5MGGrrBsrwQwjpupcC1wxP+IDlQNcfIYHQptu+YCjx9LI56N5+8DXu56l9AWXgRLxlpr/Ew8OHDyMmZvBvjo8//jhOnjyJ7777Luz3DzzwAFavXi1MWyyWqApoxiaqcKTehBZLIJl2XIIGle12sAyD87INKGm0wOTwYnKaFrIz6Fd2evxotrgQo5JAJRGh3uSEVMRi2ZQU/GdXNfw8weQ0HcadQdfQmeD2+dFkdkErF0PXj/heQZoOJV1DwAM2ATrhu7nZBmwpbQEh3XLn7rDbGGomJGtwqKYTNR0OxKokmJKu63fZ0iYLiurNmJ1lQIpejp9NScET662wu33IiFXi/Ny+rTJAoKvtq6JAU/zYBDUSwuQNsSyDudmx2HGyDYQAM7NihmU468QUDY43WtBh90AtE6HwFPtPGZ0wXbYW28takR6jgMXlBccwsLp8ELEMtAoxRCyLrDgl2mxupOrlZ5R71Wh2wucnIeuflxMn3LdTM/SCEGTv+5nqF/VgvP9/g1q+6olLI1ST0UnErhS9Xg+GYcAwDMaOHRtyE/j9fthstkEP13766afx8ccfY+PGjX26rbqRSqWQSqM3WVQq4vDz6emwOL1QSDlIRRzMDi9EHIP1RY348EAdCAlYDjy2LH9Q+i0Wlxf/3VMLmzvwsFJKOZidgVaB83IM+Nt1k2F3+/tNBh5qXF4/3ttTA5PDC45l8NOCJGTFqfosp5KK+rUJmJymGxG5c4+fh48nkIo5EML0aW3p5rvjTXj0y+Pw+Xm8LC7H364vhEYmRmG6DjaXD2l6BfpzgciOV+O2eQq4fQEriv5+SKYZY5CbqAYBhm0EiEIiwg0z009r3UAZ3XTbF2wva8WROjP2V3Wg3eaBTilGWowCuYlqlDZZUdFqx7hENS7OH5zEwvayVuyrCqj65iaqcUnX+r3v2276m0+hnI6IBTPPPfccCCG45ZZbsGbNGmi1PUmIEokERqMRs2fPHvD21q1bh/feew8bN26ETqeLQI1HD1wv+4BuCfrvSloE5+OaDgeONZgH3I8NAGXNViG/xOLyorTZijFdwcPBmk5MN8bA0DeWiBgVrXZhNJWfJzhSZw4bzACntgkYibe3E01WODx+yMUceEJQVG8OOyrpw/31Qleh0+vHJ/vrMTFVCxHLQqeQwOr29WtnAAByCQe55PQtLSMh+T4Q6wbK6Ecp4XCiyQYxy6DB5AIBAQMJjjdaIBOzkIkD91dJkxULcuMGJcB4sMYkfC5tsmL+2Djhfu1X+Zq2xlDOgIhdNTfddBMAIDMzE3PmzOmjLzMY6urqcM899yArKwuLFi0CEGiB2b1795DUNVrQyMXosAfMIFmGgUE5uBYolbTnHIg5FrKg7ohwfj+Rpres/0jU4UzpbbGg7qfuMcrQ6z5OLR2wnQGFMhwE7Ak4WF0EEhEDjx9gGUAq5qBXSOD0BoJxiYgddAucSioSNI8kIhYS2oJHiRAReYoGjyAqLCyE0+mE0+kMu6xGc/rcjNTUVJBhSGoc7dxxfjZe3lIOm9uHiyYm4kBtJ97fV4uCFC3yU7UobrBALRMhL0mDAzWdIAAK03Q42WJDp8OLcYlqSEQs9lR2IDNWgSunJOGro82QS0SYlx2HnSfb4PL6MSlNB4OqJ1AKtjOYkq4ftDJnsAT/pNSALUGr1Y2sOCXm5RhQ0mSFXiHBvJzoGQ2Tm6DGkToTDteakRGrwPR+Rm794aJxqGy1o97kwvhkDW49zwivn/SxM/D4eLy3pwatVjcWjYvH1Aw92mwu3PfhEZidPtw8NwM/LUgJa2fQYnHh/b21ICC4amoqUnRDM3yfcvZS22HHcxvLYHf7kKiVQcyxMKikWDIhEfuqOsGxLG6Za8SEZC22lLbCTwjOyzbA7PTg/T21cHr9yDQoEauUYkqGHhKOxZ6qDvA8CZmOUUjAsQwkIhZzxxjg5wm2nWiFnyeYkq4fMuNTCiUiwYxOpxtwopjf7z/9QhQAQJo+kCcDAF8ebsC7u2sAAD+Ut8EYq0RqTOBH7MuiRsR0JdNuLmmBrivfYkNxE8pbbRCxLI41WtBicyMnPuC2/NqOCui71ilrseHmOUbIxFwvO4NAAvFgZey/KmoUJPi3lrZCLRODYxkcazDj6mlpER1CHCnqOp1oMLlgUElhd/txrMES1jOqqs2B6ZmxmI6AYmq9yY0Gs7OPncF7e2vw/cl2AMCh2k6sXVaA29/dj6q2gJDYQ58ew9h4NY42WPrYGTz21XFBwbmk0YoXry8E218iDoUC4M53D6HV5hJaeicmaxCrkuK87DhIsgMttpVtDiwYG49rpvcMoFj930OoNznRYnGBZRhclJ+IyjY7ZGJOULauaLNDIeGEa1IjF+PGaQF7gv/urUGDqWe5gdodUCinIyLBzObNm4XPVVVVuP/++3HzzTcLOTK7du3CW2+9hbVr10ai+HOCshar8NnrJ2i2upEaowAhBPWdTiGYaTS7oJaKIOIYtFrd8Ph4iCQs/DxBs9klBDN1nU4hmHF6/LA4vZCJuRA7A+DHWxO02tyQigJ5IIQEpP1T+lHAHc0ELAKCps0uIMygueB9JwRotrrC2hlUd6mmAoHzWdZqQ7OlZ2SW389jX7UJnQ6PMM/m9qHD7gmxouiwe2Bx+fodGUaheDx+tNndIKRnSLTHT9Bh96Cm0w55V46M2emF0+sXun95nkeD2QmACJIILg8PE+OBnxCIugJos8ODDnvPdLCtQZM5SANsEHYHFMrpiEgws2DBAuHzo48+inXr1uG6664T5l1++eXIz8/HK6+8IuTWUAZHYboeuys7QEjASsBoCAQEDMNgbEJPEu2YOKXw5pMWo4C9KwGYY5kQt+bcoHWCh0kH2xkAAWn8wZIZqxQE5tJjFBB3PeRELINUffQFMkBgPziWEX4MjIbwXTvGWCWKu0QQOZZBml4BMcf2sTOYkKwRjPZkYg4TkjXIilPiWJfZplTMYV5ODIrqrSF2BgaVBFkGJSq6WnCSdfKwFgcUSjcSCYc0vRw1HQ6IWBYMA0g4Bsk6BcYlqFHd5QmW0GVP0A3LssiOU6GsxQaZmIOIZaGQsEjQyqCUcKjsCsjjNYHpqva+tgZGQ49twWDsDiiU0xHxK2nXrl14+eWX+8yfNm0aVqxYEeniIwIhBJtLW1DSZEWMQoJLC5KG/e1iYW48ZCIOxY0WTErTYUycEqVNVmjkYoyJU+JogwWEBCTFq9sd6LR7kB2vQr3Jif3VnciOV2FKul6wMxifqMHxJiucXj8mJGuEId8amRgZMQrsONmGOLUUuQnqQdf1JxMSkRwkwd9kdqHV6obRoES8uq/BYjQQp5IiTiXB4TozMmKV/QZ5uYlqSEUsmiwuZMQqkKiVIVErg0rKod3mQVacCjFKCW6dl4UkrRzNVhcWjo1DgkaGdVfn4673D8Pi8uGWOUakxaiQrFP2sTP402Xj8dmhBvCE4PJJybSLiSIQbHWxMDceY7vu35d/MRUvb62A2+NDklYOp9cPlgGarW5kGZRIjZFjQrK2T7rAHy/NwxeHG+Dy8sgyKCGXcGFtDPqzNbg0P2lAdgcUymBhSIQza3Nzc7F06VL89a9/DZn/hz/8AZ999hlKS0sjWTwsFgu0Wi3MZvOAko0HwskWG7443CBM5yWpcdHEwekvRAs17Q58dKBHu2VMvAqXT0oewRqdmrq6OqSlpQ3p+Q7H0XozNhQ3C9OF6boB2xkMlPf21IR0IS2fnYFYVfRqKEWC4Trf0QghBC9tLRdaVUUsg5ULx4QdkfTSlnLB6Z5jGaxcMGZQGlbDRe/zfS4JyZ1L+9rNYH6/I94y8+yzz+LKK6/E+vXrMXPmTADAnj17UFZWho8++ijSxUeEPlLuEbQZGGmC7QIAwEtl6wH8ODuDgTIQOwMKpT/CWl3wBL2tjnpsDQL4eQKejh6lRBkRD70vueQSnDhxApdddhk6OjrQ0dGByy67DCdOnAgxj4wmchJUSNIGukdkYg4zRsFoHIfHh+9PtuFks/WUyzk9flS12WFxeQe03UyDEmldo6QkIhYzs85sX5stLtR2OMCfJV4rE5I1MKgCeUVKKXdKOwOLy4uqNrtgoDdQ5mbHwuX1w+z0YkycKqydQX8QQlDb4UCjuUcSgecD81rOIImbEn10W13Y3D5YXF5MN+ohE3NoMDlR1+kQ5C66bQ26e5SyDAH7gsE22jeanajtcFAZDcqIMCzZV2lpaXj88ceHo6hhQcyxuGZaGsxBlgMjic3lwx8/KUKzxQWGAZbPMuKSgr7dXsF2BmKOwbIpqacdScSxDH5WmAKz0wu5hDsjB9vdFe34vjww7DgrTonLJyWfkcfLaEIm5nD9zAyYnV6opKJ+m+QbzU58fKAeHh8PpZTDtdPTByzTbnf7hS4Bp9cHngDcAA/b10ebhKTrqRl6nJdtwGeH61HVlaR5Xo5BcEynnL1YXT5IOBYEBDa3D1tKWwRV3uDu8WBbg5JGKyraBmdf0J9tAYUyXESkZebIkSPgeV74fKq/aIXtshwY6UAGAPZXdwjDfQkBNhxvDrtcsJ2B109wtGukzOno3tczCWQA4ECQpHmwhUG0w7EMYpSSU+YWFNWZhe4iu9uPstO0nAVzsKYTHMt0vU2HDuk+FXa3TwhkAOBQrQntdrcQyHRvm3J2w/MEh2pNkIhYSEUcihssQsABAMcbrSGthd22Bt2UNFnh6MfRPRhCSB/bgu5RkxTKcBGRlpnJkyejqakJ8fHxmDx5MhiGCdv0yDAMFc0bAuLUUjAMBN2T/t78g+0MAtPDMyxSJRMJyYWirh/nc4XetgeDsWxQycTo7Ar8WIYZ8DBWiYiFRMQKQZRCwkEhEUHEMoJmUDRZR1DODJYNXDPdLzAyCQcRw8DeFcBIxSzEQU19PbYGgeUHaj8QWE8ES7BtwShMHqac3UTkiVZZWYm4uDjhM6UvTk9Alj6crHdlmx0nW2wwqCSYnNa/mvLRejMazS6kxygwMzMGXxU1QieX4LZ5mcIyPE9woKazx86AY7C7qgOZsUpkxsrx3fFmSEUcJqVpcaTOPCg7Az9PsL+6E2anF+OTNf12WV0yMRGbS1vh8fGYlRUzIOPE4aK40Yyvi5qglolw3YyMPsHHqTjZYkVlmwMJGikKUnVhl5lujIHN5UOz1Y3MWCXGJarB8zze31uHepMTc8fEYk62QTiWFqcXeV3HcmaWHh8fqIXF6cMNs9KhVYhhdnjwzp4auL1+XDE5BZlxKtjdPuyt6gBBoLtAIxPj8knJ2HGyDRzDYGFuHJRSES7OT8LuynZIRRzOHze0I68oI4twDRBgqlEvuKePiVfiwU+Ows8TXDE5GZlxStR2OsGywM8npsMUZE8wJk4JlZRDdZsDLAdcOy0NogF6KV02KQlbSnpsD6iLOmW4iUgwk5GREfYzpYfPD9eHlfVuNDvx2aF6oZXFz5Owcv/FDRZhaPDOslYcqTcjpst48v/tq8XvLswFAOyqaMeeyg4A6LIzsEPEMihutOAv/ytBTpfuxIbiJkEob6B2BtvLWoXm5ZJGC34xOyOs8mysSoqrpqb+6GM21LTZXHhyfanQatRsdeOhS8cPaN3aDge+PNIIQoCj9QBPENbOQMyx+MmExJB5b+yswjfHmgAAB6o7oVOI0Wx141D3sWyy4BezjFjzebFgXfDPbRU4L9uAl7aUo7xLdOxovQXP/7wQnx2uR0uXWnB1W8DiIC1GgetmpIeUmx2vQnb8MNqiU4aNTw8FXQPtgWuAYRis/u9hODw++HmCN76vwpysGIBhMClVhx8q2nG41oRGsytgT8AySI9RwM8TTE7T4YeKDoxL1AxICyZeLQuxPaBQhpuIh8/p6elYvnw5Xn/9dZSXl0e6uKghnKw3ADRb3KEy+f3kSTRZekapdDq8cAT1fVe393zXGKRTErAzCCzn50mIXH5tZ08+RbedAYBT2hkEa6D4eII2W8/2ooHaDqcQyABAbbvjFEuHEtbOYIBUdqn1AgE7gxPNNjQHre/1E7Ta3Kjr6DmPXh+PYw1W1Hb2zLO5fWg0O4UfMSBwLfQeNk45u+F50ucacHl5OByB5woBQBAYpt1m98Dl5eHjCTrtHtSbnCCEwOMncHp8MDsD14+PJ4KdAYUSDUQ8mHn88cchk8nw5JNPIicnB2lpabjxxhvx6quvoqysLNLFj1qC5e+DZb1T9XKIgt6E+lOWzYhVCkMp49Uy6IK6qSYk96j0ZgaVk6ZXQN6VryJiGWTF9Wx7bEKPIFE4O4Nw9Qm2Q5CJOSRookvNN8ugDJH+H5c0cHXjbjuDbvqzMwhHfqpW+CzmGOSnapERG3osE7Uy5AbVRyERYUq6FrmJPfNiVRKk6eVIj+kpO1Erg5TmK5xTdLeodJOolUEmZqFQiKFTiMEAYBDIZUnSSKGUiiDmGCRq5ciJV4FhGMjELNQyCQyqnu972xlQKKOZiGcB3njjjbjxxhsBAI2Njdi6dSu+/PJL3H777eB5/qxOAPb6eXxV1Ii6TidS9XJcPDFJSIzrT9bboJLi2ulpqGyzw6CWYkxc+G6BMXEq/KwwFQ1mJ9JiFPD5eWwqaUGCWgary4ML120FIQTLZ2fg0oKkQdkZjIlT4ovDDWiyuJBlUCJNJ8f3Fe2IU0shZhm8uq0CAHB+Xjwuzk+E2eHFmHgVtp1oQ1W7HUlaGS7JTxr1ib5ahQSPLp2Ib4uboZWLcfmkgQ8nTdDIcM20NFS125GgkSHToAx7vnlC8OWRRjR3HcufTEjExRMTcazejLpOB+aPjUOWQYlYpQQ7T7ah3e7G/Jw4qKQi/Oo8I443WmB3+3DRxETEa+S4cWYGnrWcgNPrw/Uz0iGTiFCQqkVRvRk84fGT8QlRP+yd0j/B9gSLcuOFbuLLJyejqN4sWJjsONmGt76vwph4FSxOL6QiFukxSlhdPjSZnGi2OJGbEPD/StDIoFdKkBmrhEQUCH1EHBPWzqCb6nY7NhQ3w88TLMiNw7hEqr5MGVmGZUiDw+HAjh07sGXLFmzevBkHDx7ExIkTsXDhwuEofsQ4VGsSTNUqWu04VGvCjMxA/ouIY1GYrg+7XrxGhvgBtHKkxyqQHtvzRvbLuZnw+/24YN02QdHztR2V+FlhiuDJEqsKTVYN1hrpbjHYdqIVNR2BLpfdlR1wef1I0MjAE4LXdlYiuyvA+vpoE36zYAxYlsGhWhNOdA07rm53YH91J+ZmG05/kEaYJJ0cN80xntG63T5L3YQ7306vH7Vdx7KkyYpUvQL1Jid0Cgl0Cgk67F6Ut9pwtN4CjmUQr5ahpMmK/FQtXttZDb1CAr1Cgj2VHTjZbMW2sjahRWx/tQmT03RCMAYAm0pakJuoHnDiJiV6IITgq6JGYZTa10ebkGlQQsSxEHMspnQ9T3iex6vbKwQbA61MjJlZseAJ8OnB+i5zVIK9VR1C68vPp6cPagTS+qNNwrDub481I9OgHBUyFZRzl4gHM3PmzMHBgweRl5eHhQsX4v7778f8+fOh14f/IT+b6GN7MAy5DH4/QnJc/DyB208wmLTP3tLm3c7QhITaGXj9PHhCwIIZkX0dbYQ7Br3tHzx+f8jxBQLWCH1sI/wEbl9oq6XD6w9ZjicEXj/pK1lPyPC8pVCGlbD2BGHONc/3Xc7t4yFiGfhJwKqAAUAQ+OwbpH0BISTkuvbzBPy5d7tTRhkRf+aVlJRAqVRi3LhxGDduHPLy8s6JQAYAClK1KG2ywuz0QiMXY1Katt9lq9vtqO90YkKyBk6vHztOtmF8ogbZcSp8U9wElUyEReMSTlumRMLh4gmJ+KKoEYQnuGB8PFiGQXW7HYlaGXg+YC0Qo5JAJRGh3uSEVMSGtAQVdnU/tVndSI9RQCkVodniglzC4bJJSTjZEmh9mDPGILQATEzR4HijBR12D9QyEQpPIe8/2nF4fDhUY0K8WorsU7iEOz1+4VhqZOKw59vrJyhuNKPd5kFajAITkrVI0Smwr6oDjWYXpmXokBOvhloqxpOlx9FkceKiiUlIj1HgyimpeGlLObx+HlPS9ZiYrAHLMPjueAt4QlCQqoVeKcHc7FjsONkGQoCZWTH0DfksoTs5N0UnB8Mwgj1B97kWsQw2HW9BnEoMMCwYEBAwYEAwIUWDPRXtYBBYZ2KKFvuqOpAWI0en3QuWAWKU0oAdS2bMoLqEGYbB3BwDtp1oBSHANKN+VMktUM6MwRhZjkYTy4gHM+3t7SgqKsKWLVvwzTff4MEHH4REIsGCBQuwaNEi3HbbbZGuwoihlomxfHYGLC4f1DJRv9oLO8pa8Y8t5V0mcCwazd2jbAjUMgmsXT5KC3Ob8diygtOWOyfHAJfXDx7A2AQ1/r2rGjwhUEg48DyBq+stTSnlYHYGRlEFy9u7fX4QAkhFHPyEx8X5iQCBYGdgcXnBdO1fNwqJCDfMTD/tvo52gq0hWIbB8jkZuDiMI3qwNYRExGJZYQqSdfI+57vR7AQhDKRiTnhD3nGyFd+VtMDn51HdbsfF+Un423dl2HC8BYQnKGu245IJSTCopJiaoYfL60duogoEDCamaJFpUMLnJ4I20TRjDHIT1SCAoC9CiW42l7TgUK0JADA+WYMlXcP7u8/1/R8dwaFaEyxOLzg2IFrHE4BlAi0zGrkIEhGHJK0UVe1O1JlccHl8mJSqQ0asEvPHGqCVS8ATckbXzJR0PcYmqOHnyYDtOSiUSBLxXxyGYVBQUIC77roLH374IdavX48LL7wQH3zwAVauXBnp4kccEcciRik55Y/7t12JdABQ0WpFh90DINBNUdnWIy++82T7acvz8wSHa02IUUlhUEmx82QbPF1J1uWtNtSZAkN7LS5viM1AsLz90XoL/DyBXMLB6eFxssUWYmegkYlDApnB7OtoJ9gagicEG46Ft4Y40dRjDeHx8SjqsobofQyK6szgCYFczMHpCdgZfHaoAYQQcCwDm9uHzw83YFNpC0AIGAZwef14dUcFDtZ0QibmoFNI0Gh2C/VSSkUhIotAILCkgczZgZ8nOFxnEqaLGywhEgIilsXhOjN4nsDtI7C7fTA5vLA6vTA7vLC6vbA4vWi3udFu86DV6kJjpxMmpw8cw6DJ7EKMQgqVVPSjrhmVVEQDGcqoIeItMwcOHMCWLVuwZcsW7NixA1arFfn5+bjzzjuxYMGCSBcfFeiDfpikIk7QCeEYBhzbExgopadvyuVYBgoJB7vbL6zDdY1IkHQlCgIBMTdZUHdEsLx9b5uD4bI9GA30tobQKfqxhuilFKzu5xiFszPQ99pmgkYWkJ139fjZZBqUUErPzM6AEt2wDELu4YDtQM9zQC7hIBOxcHYFvwwTGH1EgK4Ll4GIZcCwLGQiFoRhAi02JDCMu7eNAYVyNhDxp+OMGTNQWFiIBQsW4LbbbsP8+fOh1fafO3Iu8ss5RlS02dFkdmFpYQo67B4crOlEolaGqRk6/HdvHSQci9WLc/Dq9nKYHT5cUpCI8Unhj+PivAS8/UM1CAFunmtEbYcTnQ4v5o+Ng9vrR3mbHfFqKTJiFNhf09lH3n66UQ+b24cmi0uQ4D9XGJ+sxdVTU7H1RBt0CjFWLhgTdrncBDXabR5UtNmRoJZietcota+ONOJYowV5iWr8dFIyphtjcLTejOp2BwpStRiXqMaDl4zD7e8eRJvVgxlZMbhqahoyY5W4872DcHh8mGaMwU1zMtFmc+NfOyphcXlxSX5Sn9YYytkJwzC4fFIKtp5oASHAvLFxgqZRt23BkgmJ+OpoIwwqCZJ0cijFHDqcHjCEgVYmgkzCQcKxUEhFSNHJIZdwIF1dxUoph+1lbSG2BxRKtBPxYKajowMaDdUgOBUlzTZkGVTIMqjAgMEdi7IRr5HB6+fx1vdVuHxSCgDg3z/UwNU13PJIvQnrrpkEg6rvEO5dFe1CN9DBapMgbd7NnKAh0+OS+p4bEcfiwvGnTzY+W7lyahqunHpqaXaGYTA32xAy/HxjcRPe2lUFANhX1QGJiEWCRga72w+DSopGswu1HU40mJ04LztgCcEyDFosLkw1xuD7By4IKWNvZQfEHItYpRSHagPDsBW0deacIFErw7XT0/vM77YtON5oRXqMApPTdNArAt2aLdaACrBeIQ6Z1irEuGm2ESzL4N3dNajtcKK2w4mqdrswn0KJdiKe3BAcyNx+++1oa2uLdJFRR3OQRQBPiPAQsrt9goMtADR09izn9vIhtgXd+MNIm1N5++GhtNkWMl3WYguxfyAEaLa6+j3fvQm2onB7eaHLiXJu0n1v84TA7vEJtgQddg8aTD3Pgo4um4JuTF3PAJ4naLG6Qua7fGevaCnl3GJYMzXffvttWCyW4SwyKgiWshdzDJK73KfVMjFiVT3GjTmJPWoxapkI2XF9rQ64MNLmVN5+eJiarhcsJhgGKEzThdg/cCyDNL2i3/Pdm8wguwi1TIRYZV8TT8q5Q/e9zTIMtHIxVFIRRCyDJJ0cmUHPgiSdHGOCprvtDXrbHiRoZIK9CYUS7QxrmzUZhDBTtNJuc+OrokZY3T5MSddjVlbsadcZE6fEtlKg0eLCtAw99la242SrHXEqKS6ZmITKdjvEHIs7Fo3B/4qaYHZ68ZPxCdCGcagG+kqbU3n7HwchBJtLW1DSZEWMQoJLC5IgF3F48psSlDRZkayT44GLx2HWmFisZsfiaL0FE1M0mJEZOPdSEYsmiwsZsQpBNVgl5dBu8yArToWYfoKUhblxiFNL4fD4kZekHvX2EJT+KW+1YdPxFgDAonFxyI4fXB5aRasNm0pa0GxxodXqRrxagsJ0PYwGZcAOhWFC7vne093PgMsm9TwbTmVXQKFEG7QDfojZVNKCNltgaPWu8nZkGZSntSbYebIdfhIwjDxQYwLLMIhRSlBvcuJQrQmLg/JXrihMOW0dgqXNKT+e8lY7DtcGhl43ml3YebINLi+PI3WBeVVtdvx7VzXuuiAHMzJjhSCmG6NBGWLKCQDZ8Wpkx+OUMExAV4YS3fA8wddHm0JsCH6zUBViVHoqCCFYf7QJHp8fxxosIARIy9CjweTC0skpgnBl73s+3DOAPhsoZyvD2v9gtVqRlZU16PXuuusuGI2BJNZDhw4NfcWGkN6y9APJVwmWt+eD7APCbY8y/PSxKfATODyhuQY0L4nSHwSh97iv1z1+2vW7bAwICTwfeELAgwh2BhQKJULBjMViGfDfQLjqqquwY8cOZGRkRKK6Z4TL60d1ux0mhwc8z2NPZTsO13ZidlYsRF1vXFlxSqTqw+dDBDPdGANCAJPDg5wEFXKTArkxcgmHKRk61HY40NSVDNpqdaOm3QFfHy+fgJpsuy18Mum5BiEEdZ2OkETIcPh5gpp2R0hiZO9jmZOgglYuQm2nHS6vDzOMMbgkPxFxaimAgJbPssnJAAJJ21VtdkFQDwgIFFa12QVjPsq5BccymDOmZ9TbrKzYEFPH/dWd2FfV0Wea7zI8arK4MDZBBYYB0mIUSNXLIWJZZMer0Gp1o77TgbpOxznRjU+h9EdEupl0Ot1p+2IJIWAYBn7/6R/w8+fPH6qqDQlOjx/v762ByRGQEq/tcAgu0/PHxuG2+Vlwef3QysUD6pN2ef0AQyATB7QgflaYCp+fQC5h8W1xC8pbAqNkDCoJ2u0eEAKk6OS4cmoqODZg8vj/9tWi1eoGwwBLJiQiL8yQ63OJTSUtqLIEHu6T03RYNK5vn46fJ/joQB3qOwMBz8LcOExI1grHkmUYLJmYgHiVDLsrO9BqdaPB5EJZixXzcuKw7prJqO10IEEtg0omQrvNjf+3rw4urx8yMYerp6XC6+fx8YF6eHw8lFIO105Pp6qp5yAzMmOQl9TXcuLZDaX4oSIQyEzN0EMiYrGrvF2Ynm6MEWwNMg0q3DovCwyAbWWtONFkw8biZvh4gux4FfKSNLhoYuIw7xmFMjqISDCzefPmSGx2QLjdbrjdPa0TkRg9Vd5qg6lrmKzZ4cWBmk4YVIG39J0n2/CbBVmQiQc+8uRwnQkMmC7fIx+q2x2YmKKF2eEVAhkA2FLaKuRQ1JucaLa4kKyTo67Tgdau4b2EAIdqTed8MFPSaIVMGWjhOlxnwvwg4bFuWqwuIZABAsdNKxcLx5InBIdqTJBLOJgcXog5FoQA3x5rxrycOEhELMbE9YwwK27skZ13ef043miB0+MXuqns7oCdwbQuDyzKuUVvCxCXx4fdlT0tMnurOkAAQbF7X1UHCCGQdCl1V7bZBRXvsmYbeEKEof9GgwLHGy1YmBtHE8Up5yQRCWZG0qZg7dq1WLNmTUTLUAdJ1EtEbMjDQyUVgWUH13unloW3D+iWHff6Ay0MmqA3+mB5e5VUFCLBfy7ZD/SHVNxzDhQSLmyypUIsAssw4LsOnFIq6nssZSLE9Bo11tuOoJvex10pFfUpV0nPDaULiYiFXMwJ+VdyMQeOARxdwphyScD7yNk13W1rEGxZIuZY8ISAY5g+tgcUyrnEsD1ZHQ4Hampq4PF4QuYXFJzeBXowPPDAA1i9erUwbbFYkJZ2ajXXwZIRq8R5OQaUNFkRq5RgTnYMPj7QABHL4JdzjYPe3pwxBri8PNrtHoxLVAsjX2RiDj8tSMb35e0QcwyWFibjcK0JDo8fUzP0grx9vEaGC8Yl4HCdCWqZKMSa4FzlkvwkHGoKdLstGBv+eGgVYlw0MRH7qjugkHA4f1wCtHIxzh8XjyN1ZqhlIizKjYdSKsLJVhv2VnUgQSPDredlht3epFQdTE4v6jqdSNXJMTlVBz8hsLl8aLa6zzlrCMqpYVkWdy/Owb93BaxHbpiVATHH4K3vq4TpFJ08rK1Bt92BUmIAD0AnF+O8HMOAR0hRKGcbEQ9mWltb8ctf/hLr168P+/1AcmYGg1QqhVQqHdJthmO6MQbTg7oL5uWceQAhE3O4JD8p7He9h/VmGVRhl8tP1SI/lQ7j7SZZJ8e49NNbMuQmqpHbK8AoSNWhIFUXMm/5bCOWzzaeclssy2BRbuh1wILBTybQPAZKeCal6fFMWuhQ6WeumRwyHc7WoD+7AwrlXCXibZJ33303TCYTdu/eDblcjq+//hpvvfUWcnJy8Pnnnw9oG7/+9a+RmpqKuro6LFmyBNnZ2RGuNYVCoVAolGgh4i0zmzZtwmeffYZp06aBZVlkZGTgwgsvhEajwdq1a3HppZeedhv//Oc/I11NCoVCoVAoUUrEgxm73Y74+EDTu16vR2trK8aOHYv8/HwcOHAg0sVTKBQKhUIZQYz3/29Qy1c9cfpGjt5EvJspNzcXpaWlAIBJkybhn//8J+rr6/Hyyy8jKSl8ngiFQqFQKBTKQIl4y8yqVavQ2NgIAHjkkUdw0UUX4Z133oFEIsGbb74Z6eIpFAqFQqGc5UQ8mLnxxhuFz1OnTkV1dTVKSkqQnp4Og8FwijUpFAqFQqFQTk/Eu5keffRROBwOYVqhUGDKlClQKpV49NFHI108hUKhUCiUs5yIBzNr1qyBzWbrM9/hcERcqZdCoVAoFMrZT8SDmW5Dyd4cPnwYMTHUo4ZCoVAoFMqPI2I5M3q9HgzDgGEYjB07NiSg8fv9sNlsWLlyZaSKH1bMTi8OVHeCZRlMN+qhkFD/HUp00GxxoajODKVUhGlG/Tnj7WN1ebGvuhMMgGnGGOpnRqFEORG7g5977jkQQnDLLbdgzZo10Gp7pPYlEgmMRiNmz54dqeKHDT9P8OH+OlicARftRpMTP59BZcYpox+b24cP99cJrt4WlxdLzgHrBUIIPj5Qjw57wCeutsOBX5zGqoJCoYxuIhbM3HTTTQCAzMxMzJ07FyLR2fnm4/D4hEAGAJot7n671iiU0USn3SMEMkCgleZcwO3jhUAGANpsHnj9/DnTKkWhnI1E/O5dsGABqqur8dBDD+G6665DS0sLAGD9+vU4duxYpIuPOEqJCHHqHmPLjFgFDWQoUUGcWhrSvZIRqzzF0mcPMjGHZJ1MmE7Ry2kgQ6FEORFvLtm6dSsuvvhizJ07F9u2bcNjjz2G+Ph4HD58GK+//jo+/PDDSFchorAsg6umpuJovRkcyyBZJ8N/dlXB6vZhSroes7JiR7qKlHOQkiYLtpa2gmMZXDg+IWygIhNzuGZ6GkqbrFBKOYxP0oxATUeGKwpTcLTegvpOBxpMLry6rQLn58VjTFx4V3oKhdLDYO0JhoOIv47cf//9+Mtf/oINGzZAIpEI888//3z88MMPkS5+WJCJOUwzxqAwXY9tJ9rQZvPA7eWxq7wdLedI0z1l9OD2+fHtsWY4PH5YXT6sP9rU77JauRgzMmMwIVl7TrUoSkUcJqfpUNPhgNPrh83tw9dHm8DzZKSrRqFQzoCIt8wUFRXh3Xff7TM/Pj4ebW1tkS5+2PH4+ZBpt4/vZ0kKJTLwfCAxvRuvj6d5XGHgCYEv+Dj5efCEgAU9Tmcrw2F4OFBGY+tGNBPxlhmdTid4MwVz8OBBpKSkRLr4YYEQgtoOBxrNTszOioXJ4UFtpx2pejlS9fJ+1/vueBO+PFIPv9/f7zI8H9h2k5m28FAGhlzCYboxoOHEMMDcHAMYhoHPx2N3RTuKG8yD3qbL60dVmx1mR0+yu8PjQ1WbHVZXcAK8CzvKWiPaItlodqK2wwFCBtaKUtfpQL3JKUx/fbQJXx9tQovVjex4FawuL6wuL+aMMUDEsag3OUOWp1Aoo5+It8z8/Oc/x3333YcPPvgADMOA53ns3LkT9957L5YvXx7p4oeF9UebUNpkBQB4fH4cb7TAzxMQvg2XFSRBFkZ35g8fHsbOk4GWqY8PNOBfN0/vswwhBF8WNaK8JaCgPDMrBnPGUD8ryuk5L8eA/FQtOJaBSiqCz8fjkS+O4WTXtXRpQRKWD3A4st3tw/t7a2FxeiFiGSydnAKtXIz399bA4fFDImJx1dRUtNvdeGJ9CdxeHnIJh0d+Oh6ZQ5yDsvNkG/ZUdgAAchJUmKQ/dUDz7bEmHGuwAAAmpWnx4f56HK7thNPjh0EtRW6CGj6eR0asElaXFxuKm3G0PhDsFaRqcUFewpDWn3L2QltaRpaIt8w8/vjjGDduHNLS0mCz2TB+/HjMmzcPc+bMwUMPPRTp4iOOze0TAhkA+K4kMFpLxLFoMLtwqDb8W/Cu8nbhc2mTBRWtfS0fLE6fEMgAwMEa0xDVmnIuoJWLhdFKFe12IZABgC2lLQPezskWmyA/4OMJjtSbcLzJAocn0KLo8fE4Wm/GhuJmuL2BblWnx4+NJc1DtSsCB6o7hc9lzTbYPP23arp9fiGQAYDdFR04VNMJQgJdSo1mFxpNTnTYvRCzLA7WmHCkziQsf6TODK+fdhNTKNFAxFtmJBIJXn31VTz88MMoKiqC3W5HYWEhsrOzI130sCDhWEhErKDXoZaKhNwEhgEMKknY9ZQSEazuwA+EiGOhl/ddTipmIeYYeP2Bt0+17OzU6qFEHp1cDBHLCDkiapl4wOuqel13Kqmoj2KuSipCrCL0Go5RhL/2fwwqmQimrq4uiYiFlOs/v0XMspCJObi8gYBHKxNBKmLh9vFgGAYcy0DMMeA4FgwDKCUcCABXV0Aml3AQsTR/hhKdnGstRcMirvD666/j4osvxrJly3DjjTfiiiuuwGuvvTYcRQ+I0iar0LzcYnXhu+PN+P5kW4igGCEEB2s6saG4OaQVRSJisSg3DianBzaXD/dcmAMfHxDlOi/bgOwEddgyH7osD0k6OeLUMqxePBb6MEGPTMxhfk4cOh0eODw+nD8ufuh3ntKHBpMTG4ubsbuiPSSRdrjx+nl8X96GjcXNaLH+uByUeI0M10xLAwDIxRxWLsgCABytN+Ppb0rx+vYKODy+sOuOiVNh9phYGNRS5CWpMXtMLCYkB4ZxH6o1we72YWqGHtdMT8esrBjEa6SYl2PAssKhz4n7aUEyUvRyJGhk+GlBEiQirt9lWZbBrKwYFDeYsaeyHXuqOxCrkoBjGegVYlycn4jZ2QYka2WwuX1YPD4BSyenIEkrQ7JOhqWTk2nSNIUSJUT8Vf/hhx/GunXrcOeddwr2Bbt27cLvfvc71NTU4NFHH410FU5JRasNXxUFEpQP1nTC4fFDKw+8tZqcXlySnwQAOFDTiW0nAjkuxxrMuGZaGpJ1cvh5gl0VHdB1tay8uqMKIpZFjFKC3ZUduNLkRJKubxLwedlxOC877pR18/p57KnqgL7rDfeHig5cNVUxNDtOCYvZ4cXHB+qE1jCHx49FIxREbixuRklXF+aJFitunmM8Y98vt8+PJotL0D060WxDjFKKJ78uEYL2NpsH9108Luz6s7JiQzSTtpe14oeKQFdpUb0Z/ytqxNLJKfjdhblnVL+BEqeWCkEZANTVdfa7LM/zeHV7BUwOD442WEBIoLVTKuJw3Yx0GFQSEADdPUm7ytvxi9lGakdCoUQhEQ9mXnrpJbz66qu47rrrhHmXX345CgoKcOedd454MNMUNOrC5fWjw+4RgpngEURNZrfwmZDAqI1knbyPnUG9yQmdXAyGYeDx8ahss4cNZgaC3e2D1dXztnyuyM2PJG12txDIAKHXx3DTGHT9ub08Oh3eMw5mLE6fkOMCBK7tqjZ7SOtjTYd9wNs7EZQnBgTyV0YbVpcP7TYPfDwJJOQD8Pt5OHkCjzcQ3LFgwHZ1JVFbAwoleon4Xev1ejFt2rQ+86dOnQqfL3yz9nCSEasE29WUrJCIQmTOjQZF0HI9n0Usg1R9YLq3nUFOglpomlZKOYxLPHNVVbVMjNig7qfgOlAiQ4JGBrmkp+tiJI95pqFHtVctEyFWeeY5KDqFGDpFT55MRqwSuYnqkNyXvEEoAE/J0Av3DQAUpuvOuG6RQquQIEUnh0TEQcyxELMMRBwHtUwMiZiDMVaJ1JieFw1qa0ChRC8Rb5n5xS9+gZdeegnr1q0Lmf/KK6/ghhtuiHTxYTlU04mHPzsGi9uL2ZmxuOOCHNR2OJCsleNfO8vx2cEGyCUsVFIW7++phcfPY162Ad+VNKPN6sa4JA1yEpWoaHUgRiHBrvJWbDzeAoZhsHhcPBo6HbB7/ZiXY8Bz351AZZsdmQYlzs+NR3GTBWqpCPFqGT7cXwsfT7A4LwH7qzvRZndjcqoOdy/OAcuy4FgGV09Nw9EGM8QciwSNFG99XwWHx4/pRj2mdWmJUIYOlVSEn3dJ/Gvk4kH9wP8YTA4PvjzSCIvLi4IUHc7LMUDEAZ8frofLy+MneQmQiTnsr+7EK1vL4fbzuGJyCq4oTMFfvizGe3tqQABcMTkZj/+sIKydwZeH63GozgIWwIrzjLhoYiJilRIcqjFBLmUxLUMHAHhx80nsrmyHXiHBvRfmIkUvwzMbynCkzoREjQy/X5KLglQd5mbH4kCNCbkJKszNDi8Z4PD48OWRRrR2abpcmJcgtIQE025z46ujTbC6vChM02P2mMHZgJS3WLH3UCsYMLggLx6VbXa8s7saZc1WtFg9gnilw8vD5PTib9+VgWECCfwZMQrMGhOLiycm4mSLDZu7RiRSewMKJXoYluExr7/+Or799lvMmjULALB7927U1NRg+fLlWL16tbBc74AnUvz1m1K02wPdRtvKWrEgNx4XTUzEgepObChuAcsGlHv/vrlcaFl5cUs5JFxgBERxgwX/2VWDaRkxON5owTfHWsAygSTh/xU1IVkng1zMYUtpKxI1MugUEhTVmVHT7sCkNB3cXg/e2V0jdGe9uPkkkrQyiDgWuys7sLm0VdC3CBZAe29PjeD2u72sDZkGJWJV0t67R/mR6BQSzBxmT60tpa1otQauyb1VHTAaFHjm2zJ4fDxYBthY0ozLKpPw6vZKmLq6Nf+7txYzMjR4e3e1IMP/0YF63LEoC98eaxaSl9cfbUJmrByH6iwghMAP4F/fV2Pu2DjsLG+DTMKCEODpb8tw709YbDvRCiDQFfXazkrMyYrFvqqAtktNhwNv7arGheMT4PUT5KdoAQD7qzvDBjQ/VLSjvjMgQFfcYEGaXoHxyX0DxM2lrWjr2v8fKtqRaVAiUSvrs1x/bChugVgeaMn64nAD9lR2wOXxosHsDpvETRDoLnb7eJxss+OCcQZsON4MEAgjvr4+2oTfLBgTNviiUCiji4gHM0ePHsWUKVMAAOXl5QAAg8EAg8GAo0ePCssN56gBTy+LgW4F02AlUwDwBeVO8DwPwrEAGBBChO9cXl9AiTSo/jzPg2UDPxDdyxFCQjQrgj/7eYLg5629n1ElvesdnNtBiW5622B4/QQeX6iGitXtgztoOZ4QWD08goVwCSGwuvg+dgbtNk+IYi5PCGyu0O17fDwc3l7zvP6QXBsgkEzc+1rsPd0zP/Qa7b2fQh377P/g9F38PEF3J5rHx8Pr5+EDTqsS3P2tlwc4Hw8GPc8iam9AoUQPEe8g3rx584D+Nm3aFNF6EEIEWfNfzMqAqKtvPD1GgaUFyQCA87JjhZYYlmFw0cQEIS/g/Lx4yMUi+PwECRoZZmVoUdxohlQkQk7X8GuGYZATp4S4a7jouEQ10mNkcHn90CvEWDIhEUAg52ZZYYoQ/1w4IQGarlaaZJ0c5+eGVx2dmx0LrustcWyCGgka2ipztjArMxYSUeCazIhVID1GgetmpMPPE7i9PLLj1ZifY8AVk1NgdnjRanVjaoYWuYlaTMvQCz/AE5I1yE3S9LEzuH6WEXFdrXgMw2DumFhcmBeHMfGBbhSOZXDdzDScl22AsStXRyJiceXUVCweHy+0ksglHH5WmIKJKRrEdOXwqGWifnNmpmbooejKQYpTSzEuMXCvdNo9qG63w90VsM3KioW4SzMmK06JlEEmzU8z6gP7BmB8igazsmIhE4mgkYogFfUfjIhYIEEthUIqxrycOMwJal2anRUrPCcoFMrohiEDNTiJUiwWC7RaLT7+4QSqLIFdnZymQ16SGk1mF/JTNOC4UK2KojoTYpRSpOjlaLG4AqqmDPDe7hq0293QK8XYdLwVVpcXHMdi1QU5MKglUEo4zMg0oMnsRKvVjQS1BP/dV4dWmwcGlQTXzUiHmAsMDZVLODRbXPD4eaTpFbC6vGizupGmV0Ak6v8B6vT44fYFho9TDYy+1NXVIS0tDWazGRrN8OS7DBUurx9Ojx86ReDcfrivFu/8UAOP34/cRBWeuHIy/vK/Ynx7rAmEBJLN3/rlNHAch10nW+HjCeaN7RlGbnZ6BTuDbj4/WI8ErRQzswI/2n6/H8WNVuF6BwCfj0dtpwMxSgm0XbIAHh+P+k4HDGqpILjn8/OwuHxQy0SnTJz1+HjY3T5o5GJwLIOTLQE5BD9PEKOU4NrpaYK4ncs7uGs7+HxDIsfm4y2oaAuMykrVy3BedhwazU7srerADxXt2F/VAYeHh4gFMgwq/Pmy8ZiQqgODHiFBi8sbMk0ZPfS+vyMtDDcYo8lzTaQuknQf9+7f74E8z88ZSdmSRitkysBb6OE6E+aPjUOiNvzbX36qTvgcrwm8kX5V1AixiEWiVo49le3odHggEbEghOCzQw14e8VMYZ1ErRyJWjm2l7XCxwN6hQR+HihpsmJeTo+2TIKmJydALRMP6OEpl3Aho20oZw8yMQeZuOfcflfSAomYhUTMot7kxrEGM7aVtQqtc5VtNhTVWzA5XY/ZYTSLunOygrm8l5Adx3Eh1zsAiERsH08lSZh5Io4VWmdOhUTEQiLqWe5InUnoBuuwe1DVbse4RE2f/R8sEo4VAhkAqDe5EKeWIkYlwdYTbcgyqLDzZDtYloFIxKLR7EJekhqaXvdd72kKhTL6OWeCGam4581RIeGEH4SBEvx2q5aLQt4c9YrwD7/eku9K6TlzuClDgEYuFhK+WYaBQSmFSiJCpy8wj2MZxKkHniQ7WghnhTAUiLlQ+wK5OHCfs4SBTMzB5/OBZRjwXY3RIo4ZsrIpZye0tSV6OOvv5O5etPlGFY40u8EwwHmZOlgsltOsGcp4gxitHQza7W5ckx+HOCmP/VWdiFNLcff8lLDby9SwqI/h0GByIlkrR5aGHXS5lMHRfXzPhuN807R4/GtHJWxuHy4cnwCt2Id7F6bhue/K4PURXDU1BWrOC4vFe/qNjSImJ0phMhOYnF7kJqih4XxnfL56n+9FWSp8f7ItcJ9n6WC1WoPmu3D+GBX2VXVCxDH49bwsOByOodkpyrDQ+3zzbnr+zkZ6n+eBZMOc9Tkz3X2sFAqFQqFQoo/a2lqkpqaecpmzPpjheR4NDQ1Qq9URTZi1WCxIS0tDbW3tiCWe0joEElpPnjyJ7Oxs2O32ET8elMheE8Hnu3ci/3Ax0tf8UBEN+zEazveZEg3H93QM9z4QQmC1WpGcnAyWPfXIwrO+m4ll2dNGdEOJRqMZ8Qv1XK/D9OnTAUB42I2G40GJ3HnoPt8jzdlynY32/Rgt5/tMGe3HdyAM5z5otdoBLUdFFCgUCoVCoUQ1NJihUCgUCoUS1dBgZoiQSqV45JFHIJWOnCovrcPorcu5zNl+Hs6W/Ttb9mO0cjYc39G8D2d9AjCFQqFQKJSzG9oyQ6FQKBQKJaqhwQyFQqFQKJSohgYzFAqFQqFQohoazFAoFAqFQolqaDBzltDa2opNmzahsbFx2Mo0mUzDVhYluvnnP/850lWgUChnMTSYOUM++OAD4XNbWxsuvfRSaLVaLFy4EDU1NREvf/ny5WhpaQEAbNq0CePHj8f999+PSZMm4dNPP414+QAQHx+PpUuX4osvvgDP88NS5qkoLy/HokWLkJWVhdWrV8PlcgnfzZ49ewRrdm7x+eef9/l75JFHhM8UCiU6iKZnKg1mzpC1a9cKnx944AHk5+ejtLQUl19+OVatWhXx8g8fPoz4+HgAwJo1a7Bhwwbs2bMHu3fvxpo1ayJePgBkZmZi/vz5uO+++5Camor7778fJ06cGJayw3H77bfjqquuwgcffIC2tjZccMEFgmty8E1IiSxXXHEFnnzySTz77LPCn9lsxrPPPovnnntupKv3o6msrBQ+E0Lw9NNPY+nSpfjzn/8Mrzd6HMz9fj9eeuklzJ8/H0ajEUajEfPnz8c//vEP+P3+ka7eWc3YsWNHugoDIqqeqYRyRkyePFn4XFBQQHw+X8h0pMnJyRE+T5s2LeS7/Pz8iJdPCCGFhYXC5507d5Jbb72VqNVqMm/ePPLWW28NSx2CCT4nhBDy2GOPkenTpxOTyRRSV0pk+de//kXmzJlDDhw4IMwzGo0jWKOhJfhaevTRR8mFF15I3nvvPXL11VeTu+66awRrNjh+9atfkcsvv5x89dVXpLi4mBQXF5OvvvqKXH755eS2224b6epFPYcPH+73LzExcaSrNyCi6Zl61htNRgqXy4WioiIQQsAwTIiDayTdubtZsmQJVq1ahcceewyLFy/GO++8g+uvvx5ff/01DAZDxMvvzZw5czBnzhw8//zzeP/99/HKK69g+fLlw1oHp9MZMv3HP/4REokk5G2CEnl++ctf4vzzz8eKFSswb948PPjgg8NyTwwXJEhn9LPPPsPGjRuh0+mwbNkyTJs2bQRrNjg2bdqEsrKykHl5eXm46KKLoqblYDQzefJkGI3GkOulm/b29hGo0eCJpmcq7WY6Q5xOJ5YuXYqlS5fCbDajrq4OAGA2m09rVT4UPPPMM2BZFikpKXj//ffxi1/8AhKJBM8//zxef/31iJcPIOxNqlQqceutt2LHjh3DUodg8vLy8PXXX4fMu/fee3H99dejvLx82OtzLpORkYFvv/0WSqUS8+bNg9vtHukqDRnBgRnHcdDpdAACUu8iUfS8HzIMg9bW1j7zW1tbw97blMGRkZGBHTt2oLKyss9fQkLCSFdvQETTM5XaGQwxDocDzc3NyMzMHLbyysvL4fP5kJ6ejtjY2GEpFwA6OjoQExMzbOWdju4fzHC+IfX19UhJSRnuKlEAHDt2DNu3b8fKlStHuipDgkgkgkajASEEDocD9fX1MBgM8Pl8KCwsRFFR0UhXcUC8/vrrePjhh7F06VJkZGQAAKqrq/H5559jzZo1uPXWW0e4htHNqlWrcPXVV+O8887r893KlSvx8ssvj0CtBkc0PVNpMEOhUCiDoLq6OmQ6OTkZYrEYra2t2LFjB5YtWzZCNRs8VVVV+PDDD4URmOnp6bjyyiuH7WWMQhkqaDBDoVAoFAolqqE5MxQKhTJEvPLKKyNdhSHhyy+/HOkqUCiDggYzFAqFMkTU19ePdBWGhM8++2ykq0ChDArazUShUCgUCiWqoS0zUcrNN9+MK6644pTLGI3GUaO4+uabbwpDWCk/joGc+8Hw5z//GZMnT/7RZW7ZsgUMw5z1nl3RJPF+KkbakoUSylDfP1VVVWAYBocOHfrRZY6m35L+oMEMZciJhguf0sO9996L7777blDrLFy4EHfffXdkKjTKiSqJ91Mw0pYsZyuj5cUtLS0NjY2NmDhx4oDXGS11PxNoMEOhnOOoVKph1SeKdlpaWvDb3/4WU6dOxb///W9ceumluOCCC2A2m6NK6Tg4w2DPnj147LHHkJiYiNWrV6OiomIEa0YZCjiOQ2JiYlQJOf4YaDBzhnz44YfIz8+HXC5HbGwsFi9eDLvdDgB47bXXkJeXB5lMhnHjxuEf//iHsF5309/777+POXPmQCaTYeLEidi6dauwjN/vx6233orMzEzI5XLk5ubi+eef/9F1NplMWLFiBeLi4qDRaHD++efj8OHDwvfd3Q3/+c9/YDQaodVq8fOf/zxEttpqteKGG26AUqlEUlISnn322ZC39IULF6K6uhq/+93vwDBMn4f7N998g7y8PKhUKlx00UVobGz80fs13Iz2c//3v/895G3s008/BcMwISJdixcvxkMPPQSgbzeT3+/H6tWrodPpEBsbiz/84Q8hP3w333wztm7diueff144x1VVVcL3+/fvx7Rp06BQKDBnzhyUlpYOqv6jnXAS79dcc82olHg/Fd2WLEeOHBkRS5bRysKFC3HHHXfgjjvugFarhcFgwJ/+9CfhHnC73bj33nuRkpICpVKJmTNnYsuWLQAC3Ta//OUvhcCWYRj8+c9/BgD85z//wbRp06BWq5GYmIjrr78eLS0tA66X2WwGx3HYt28fAIDnecTExGDWrFnCMm+//TbS0tIAhO9m+uqrrzB27FjI5XIsWrQo5L49Vd2BgEDrLbfcArVajfT09NE3cm/Y3aDOAhoaGohIJCLr1q0jlZWV5MiRI+TFF18kVquVvP322yQpKYl89NFHpKKignz00UckJiaGvPnmm4QQQiorKwkAkpqaSj788ENSXFxMVqxYQdRqNWlrayOEEOLxeMjDDz9M9u7dSyoqKsjbb79NFAoF+e9//yvU4aabbiJLly49ZT0zMjLIs88+K0wvXryYXHbZZWTv3r3kxIkT5J577iGxsbGkvb2dEELII488QlQqFfnZz35GioqKyLZt20hiYiL54x//KGxjxYoVJCMjg2zcuJEUFRWRZcuWEbVaTVatWkUIIaS9vZ2kpqaSRx99lDQ2NpLGxkZCCCFvvPEGEYvFZPHixWTv3r1k//79JC8vj1x//fU/9nQMK9Fw7o8cOUIYhiEtLS2EEELuvvtuYjAYyLXXXiuUoVAoyIYNGwghgfM+adIkYf0nn3yS6PV68tFHH5Hi4mLBQLS7TJPJRGbPnk1uu+024Rz7fD6yefNmAoDMnDmTbNmyhRw7dozMmzePzJkzZ6gO/6jgiiuuIOvXr+8z/5lnniEMw4xAjc6MjIwMkpmZSYxGIzEajaS2tpYQQkalieBwsmDBAqJSqciqVatISUmJcA++8sorhJDAM3DOnDlk27Zt5OTJk+Spp54iUqmUnDhxgrjdbvLcc88RjUYj3BtWq5UQQsjrr79OvvrqK1JeXk527dpFZs+eTS6++GKh3O77p7Ozs9+6TZkyhTz11FOEEEIOHTpEYmJiiEQiEcpYsWIFueGGGwghPc+bgwcPEkIIqampIVKplKxevVrYr4SEBKHMU9U9IyODxMTEkBdffJGUlZWRtWvXEpZlSUlJyZAe+x8DDWbOgP379xMApKqqqs93Y8aMIe+++27IvP/7v/8js2fPJoT0XGBPPPGE8L3X6yWpqankySef7LfM3/72t+TKK68UpgcbzGzfvp1oNBricrn61Pef//wnISTwo6ZQKIjFYhG+//3vf09mzpxJCCHEYrEQsVhMPvjgA+F7k8lEFAqFEMz0LrebN954gwAgJ0+eFOa9+OKLJCEh4ZT7MNqIhnPP8zyJjY0VztPkyZPJ2rVrBafeHTt2ELFYTOx2OyGkbzCTlJRE/vrXv/apY3CZCxYsCDnnhPQ8jDdu3CjM+9///kcAEKfT2W99ow2Xy9XnPuqmrq5umGsz9NjtdlJRUTHS1RgxFixYQPLy8gjP88K8++67j+Tl5ZHq6mrCcRypr68PWeeCCy4gDzzwACEk8KzTarWnLWfv3r0EgBAwDCSYWb16Nbn00ksJIYQ899xz5NprryWTJk0Sguvs7Gwh6OodzDzwwANk/PjxIdu77777Qsrsr+4ZGRnkxhtvFKZ5nifx8fHkpZdeOu1+Dhe0m+kMmDRpEi644ALk5+fj6quvxquvvorOzk7Y7XaUl5fj1ltvhUqlEv7+8pe/9DHlCh71IBKJMG3aNBw/flyY9+KLL2Lq1KmIi4uDSqXCK6+80u8Ig3feeSekvO3bt/dZ5vDhw7DZbIiNjQ1ZtrKyMqRuRqMRarVamE5KShKaQisqKuD1ejFjxgzhe61Wi9zc3AEdN4VCgTFjxoTddrQQDeeeYRjMnz8fW7ZsgclkQnFxMW6//Xa43W6UlJRg69atmD59OhQKRZ/tmc1mNDY2YubMmX3qOFAKCgqEz0lJSQAQdef5VEil0rBeNQBGlVfNmaJQKM55O4NZs2aFdLXNnj0bZWVlKCoqgt/vx9ixY0Puu61bt57WeHH//v247LLLkJ6eDrVajQULFgBAv/d28Pa7fc0WLFiAHTt2wO/3Y+vWrVi4cCEWLlyILVu2oKGhASdPnsTChQvDbu/48eMh93X3fg2U4PuaYRgkJiaOqvv63MgMGmI4jsOGDRvw/fff49tvv8ULL7yABx98EF988QUA4NVXX+1z0QT3R5+O999/H/feey+eeeYZzJ49G2q1Gk899RR2794ddvnLL788pLxwD1SbzYakpCShbzeY4Ox1sVgc8h3DMOB5fsB1PxXhtk2iTOYoWs79woUL8corr2D79u0oLCyERqMRApytW7cKD9JIEHyeu38QhuoaolBGEpvNBo7jsH///j73tUql6nc9u92OJUuWYMmSJXjnnXcQFxeHmpoaLFmyBB6PJ+w6wbkuGo0GADB//nxYrVYcOHAA27Ztw+OPP47ExEQ88cQTmDRpEpKTk5GTk/PjdzQMkfxtGApoMHOGMAyDuXPnYu7cuXj44YeRkZGBnTt3Ijk5GRUVFbjhhhtOuf4PP/yA+fPnAwB8Ph/279+PO+64AwCwc+dOzJkzB7fffruw/KmifrVaHdKaEo4pU6agqakJIpEIRqNxgHsZSlZWFsRiMfbu3Yv09HQAgTf5EydOCPsCABKJBH6//4zKiAai4dwvWLAAd999Nz744APhTW3hwoXYuHEjdu7ciXvuuSfs9rRaLZKSkrB79+4+dZwyZYqw3Nl+jinnNr1fHn744Qfk5OSgsLAQfr8fLS0tmDdvXth1w90bJSUlaG9vxxNPPCEk6HYn8vZHdnZ2n3k6nQ4FBQX4+9//DrFYjHHjxiE+Ph7XXnstvvzyy1O+pOTl5eHzzz/vs1+nq3u0QLuZzoDdu3fj8ccfx759+1BTU4OPP/4Yra2tyMvLw5o1a7B27Vr87W9/w4kTJ1BUVIQ33ngD69atC9nGiy++iE8++QQlJSX47W9/i87OTtxyyy0AgJycHOzbtw/ffPMNTpw4gT/96U/Yu3fvj6rz4sWLMXv2bFxxxRX49ttvUVVVhe+//x4PPvjgaW+qbtRqNW666Sb8/ve/x+bNm3Hs2DHceuutYFk2pEnWaDRi27ZtqK+vR1tb24+q92gjWs59QUEB9Ho93n333ZBg5tNPP4Xb7cbcuXP7XXfVqlV44okn8Omnn6KkpAS33357H1Eto9GI3bt3o6qqCm1tbaPqDY1C+bHU1NRg9erVKC0txXvvvYcXXngBq1atwtixY3HDDTdg+fLl+Pjjj1FZWYk9e/Zg7dq1+N///gcgcG/YbDZ89913aGtrg8PhQHp6OiQSCV544QVUVFTg888/x//93/+dUd0WLlyId955RwhcYmJikJeXh//+97+nDGZWrlyJsrIy/P73v0dpaSneffddvPnmmyHLhKt71DDSSTvRSHFxMVmyZAmJi4sjUqmUjB07lrzwwgvC9++88w6ZPHkykUgkRK/Xk/nz55OPP/6YENKTlPXuu++SGTNmEIlEQsaPH082bdokrO9yucjNN99MtFot0el05De/+Q25//77Q5I0z2Q0k8ViIXfeeSdJTk4mYrGYpKWlkRtuuIHU1NQQQvomghJCyLPPPksyMjJCtnH99dcThUJBEhMTybp168iMGTPI/fffLyyza9cuUlBQQKRSKem+xMIlln3yySck2i7BaDn3hBCydOlSIhKJhARDv99P9Ho9mTVrVshyvc+71+slq1atIhqNhuh0OrJ69WqyfPnykDJLS0vJrFmziFwuJwBIZWVl2ATGgwcPCt9TKNHAggULyO23305WrlxJNBoN0ev15I9//KOQENw94tBoNBKxWEySkpLIsmXLyJEjR4RtrFy5ksTGxhIA5JFHHiGEEPLuu+8So9FIpFIpmT17Nvn8889DEnQHkgBMSM9zMzj5dtWqVQRAyOii3gnAhBDyxRdfkOzsbCKVSsm8efPIv/71rz5lhqt7uEEdkyZNEr4fDVBvpmGmqqoKmZmZOHjw4Gkl5KMBu92OlJQUPPPMM7j11ltHujqjmrPt3FOGni1btmDRokXo7OzsV4n1z3/+Mz799NNTytQPJwzD4JNPPhlSi42RZOHChZg8eTJVMY8yaDcTZVAcPHgQ7733HsrLy3HgwAEhP2Tp0qUjXDMKZfQQzbLw/TEQDy8KZaSgCcCUQfP000+jtLQUEokEU6dOxfbt22EwGEa6WhQKhUI5R6EtM8OM0WgEISRq33AKCwuxf/9+2Gw2dHR0YMOGDcjPzx/pakUF0X7uzyVGq6R9fwzERuPjjz/GokWLoFAoMGnSJOzatStkG6+++irS0tKgUCiwbNkyrFu3TmhdevPNN7FmzRocPnxY2Kfg5NG2tjYsW7YMCoUCOTk5fUbNRBNbtmyhXUzRyIhm7FAoFMooZDRL2vdO2B6ojca4cePIl19+SUpLS8lVV11FMjIyiNfrJYQEVKFZliVPPfUUKS0tJS+++CKJiYkRkvYdDge55557yIQJE4R9cjgchBAiWHS8++67pKysjNx1111EpVIJNikUynBAgxkKhULpxWiWtO8dzAzURuO1114Tvj927BgBQI4fP04IIeTaa68VZPK7ueGGG0L2IdxoR0ICwcxDDz0kTNtsNgIgrH8VhRIpaDcThUKhhGG0StoHMxgbjVPZTJSWlobYlADoM30qgretVCqh0WhGldQ95eyHJgBTKBTKIBhpSfvedQEGZqMRSZuJ0S51Tzn7ocEMhUKhhGG0StoHk5CQMGAbjVORm5vbR2m693Q0S91Tzn5oMEOhUChh6Ja0//Wvf40DBw7ghRdewDPPPBMiaf/MM8+gsLAQra2t+O6771BQUIBLL700RBZ+0qRJUCgUIZL2K1euxNGjR89Y0j6YNWvW4K677oJWq8VFF10Et9uNffv2obOzE6tXrx7QNu68807Mnz8f69atw2WXXYZNmzZh/fr1fWxKKisrcejQIaSmpkKtVvfrHk6hDDc0Z4ZCoVDCsHz5cjidTsyYMQO//e1vsWrVKvzqV78CALzxxhtYvnw57rnnHuTm5uKKK64IMWCdM2cOVq5ciWuvvRZxcXH461//iri4OLz55pv44IMPMH78eDzxxBN4+umnf3Q9V6xYgddeew1vvPEG8vPzsWDBArz55pvIzMwc8Dbmzp2Ll19+GevWrcOkSZPw9ddf43e/+x1kMpmwzJVXXomLLroIixYtQlxcHN57770fXXcKZaigdgYUCoXSCyppD9x2220oKSnB9u3bR7oqFMppod1MFAqFQsHTTz+NCy+8EEqlEuvXr8dbb70VIr5HoYxmaDBDoVAoFOzZswd//etfYbVakZWVhb/97W9YsWLFSFeLQhkQtJuJQqFQKBRKVEMTgCkUCoVCoUQ1NJihUCgUCoUS1dBghkKhUCgUSlRDgxkKhUKhUChRDQ1mKBQKhUKhRDU0mKFQKBQKhRLV0GCGQqFQKBRKVEODGQqFQqFQKFHN/wf3RnupKRfHRQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(dataset)\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LR: 0.958333 (0.055902)\n",
      "LDA: 0.975000 (0.038188)\n",
      "KNN: 0.983333 (0.033333)\n",
      "CART: 0.950000 (0.076376)\n",
      "NB: 0.966667 (0.040825)\n",
      "SVM: 0.991667 (0.025000)\n"
     ]
    }
   ],
   "source": [
    "# 3. Evaluate Algorithms\n",
    "# a) Split-out validation dataset\n",
    "# b) Test options and evaluation metric\n",
    "# c) Spot Check Algorithms\n",
    "\n",
    "X = dataset.iloc[:, 0:4].values\n",
    "y = dataset.iloc[:, 4].values\n",
    "validation_size = 0.2\n",
    "seed = 7\n",
    "X_train, X_validation, Y_train, Y_validation = train_test_split(X, y, test_size=validation_size, random_state=seed)\n",
    "\n",
    "models = []\n",
    "models.append(('LR', LogisticRegression(solver='liblinear')))\n",
    "models.append(('LDA', LinearDiscriminantAnalysis()))\n",
    "models.append(('KNN', KNeighborsClassifier()))\n",
    "models.append(('CART', DecisionTreeClassifier()))\n",
    "models.append(('NB', GaussianNB()))\n",
    "models.append(('SVM', SVC(gamma='auto')))\n",
    "\n",
    "results = []\n",
    "names = []\n",
    "\n",
    "for name, model in models:\n",
    "    kfold = KFold(n_splits=10, random_state=seed, shuffle=True)\n",
    "    cv_results = cross_val_score(model, X_train, Y_train, cv=kfold, scoring='accuracy')\n",
    "    results.append(cv_results)\n",
    "    names.append(name)\n",
    "    msg = \"%s: %f (%f)\" % (name, cv_results.mean(), cv_results.std())\n",
    "    print(msg)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# d) Compare Algorithms\n",
    "fig = pyplot.figure()\n",
    "fig.suptitle('Algorithm Comparison')\n",
    "ax = fig.add_subplot(111)\n",
    "pyplot.boxplot(results)\n",
    "ax.set_xticklabels(names)\n",
    "pyplot.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9\n",
      "[[ 7  0  0]\n",
      " [ 0 11  1]\n",
      " [ 0  2  9]]\n",
      "                 precision    recall  f1-score   support\n",
      "\n",
      "    Iris-setosa       1.00      1.00      1.00         7\n",
      "Iris-versicolor       0.85      0.92      0.88        12\n",
      " Iris-virginica       0.90      0.82      0.86        11\n",
      "\n",
      "       accuracy                           0.90        30\n",
      "      macro avg       0.92      0.91      0.91        30\n",
      "   weighted avg       0.90      0.90      0.90        30\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 4. Finalize Model\n",
    "# a) Predictions on validation dataset\n",
    "\n",
    "knn = KNeighborsClassifier()\n",
    "knn.fit(X_train, Y_train)\n",
    "predictions = knn.predict(X_validation)\n",
    "print(accuracy_score(Y_validation, predictions))\n",
    "print(confusion_matrix(Y_validation, predictions))\n",
    "print(classification_report(Y_validation, predictions))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "titanic-SA5bcgBn-py3.9",
   "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}