{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Diabetes Prediction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".. _diabetes_dataset:\n",
      "\n",
      "Diabetes dataset\n",
      "----------------\n",
      "\n",
      "Ten baseline variables, age, sex, body mass index, average blood\n",
      "pressure, and six blood serum measurements were obtained for each of n =\n",
      "442 diabetes patients, as well as the response of interest, a\n",
      "quantitative measure of disease progression one year after baseline.\n",
      "\n",
      "**Data Set Characteristics:**\n",
      "\n",
      "  :Number of Instances: 442\n",
      "\n",
      "  :Number of Attributes: First 10 columns are numeric predictive values\n",
      "\n",
      "  :Target: Column 11 is a quantitative measure of disease progression one year after baseline\n",
      "\n",
      "  :Attribute Information:\n",
      "      - age     age in years\n",
      "      - sex\n",
      "      - bmi     body mass index\n",
      "      - bp      average blood pressure\n",
      "      - s1      tc, T-Cells (a type of white blood cells)\n",
      "      - s2      ldl, low-density lipoproteins\n",
      "      - s3      hdl, high-density lipoproteins\n",
      "      - s4      tch, thyroid stimulating hormone\n",
      "      - s5      ltg, lamotrigine\n",
      "      - s6      glu, blood sugar level\n",
      "\n",
      "Note: Each of these 10 feature variables have been mean centered and scaled by the standard deviation times `n_samples` (i.e. the sum of squares of each column totals 1).\n",
      "\n",
      "Source URL:\n",
      "https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html\n",
      "\n",
      "For more information see:\n",
      "Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani (2004) \"Least Angle Regression,\" Annals of Statistics (with discussion), 407-499.\n",
      "(https://web.stanford.edu/~hastie/Papers/LARS/LeastAngle_2002.pdf)\n"
     ]
    }
   ],
   "source": [
    "from sklearn import datasets\n",
    "diabetes_data = datasets.load_diabetes()\n",
    "print(diabetes_data.DESCR)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Training and Testing Sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>bmi</th>\n",
       "      <th>bp</th>\n",
       "      <th>s1</th>\n",
       "      <th>s2</th>\n",
       "      <th>s3</th>\n",
       "      <th>s4</th>\n",
       "      <th>s5</th>\n",
       "      <th>s6</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.038076</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.061696</td>\n",
       "      <td>0.021872</td>\n",
       "      <td>-0.044223</td>\n",
       "      <td>-0.034821</td>\n",
       "      <td>-0.043401</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>0.019908</td>\n",
       "      <td>-0.017646</td>\n",
       "      <td>151.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.001882</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.051474</td>\n",
       "      <td>-0.026328</td>\n",
       "      <td>-0.008449</td>\n",
       "      <td>-0.019163</td>\n",
       "      <td>0.074412</td>\n",
       "      <td>-0.039493</td>\n",
       "      <td>-0.068330</td>\n",
       "      <td>-0.092204</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.085299</td>\n",
       "      <td>0.050680</td>\n",
       "      <td>0.044451</td>\n",
       "      <td>-0.005671</td>\n",
       "      <td>-0.045599</td>\n",
       "      <td>-0.034194</td>\n",
       "      <td>-0.032356</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>0.002864</td>\n",
       "      <td>-0.025930</td>\n",
       "      <td>141.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.089063</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.011595</td>\n",
       "      <td>-0.036656</td>\n",
       "      <td>0.012191</td>\n",
       "      <td>0.024991</td>\n",
       "      <td>-0.036038</td>\n",
       "      <td>0.034309</td>\n",
       "      <td>0.022692</td>\n",
       "      <td>-0.009362</td>\n",
       "      <td>206.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.005383</td>\n",
       "      <td>-0.044642</td>\n",
       "      <td>-0.036385</td>\n",
       "      <td>0.021872</td>\n",
       "      <td>0.003935</td>\n",
       "      <td>0.015596</td>\n",
       "      <td>0.008142</td>\n",
       "      <td>-0.002592</td>\n",
       "      <td>-0.031991</td>\n",
       "      <td>-0.046641</td>\n",
       "      <td>135.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        age       sex       bmi        bp        s1        s2        s3  \\\n",
       "0  0.038076  0.050680  0.061696  0.021872 -0.044223 -0.034821 -0.043401   \n",
       "1 -0.001882 -0.044642 -0.051474 -0.026328 -0.008449 -0.019163  0.074412   \n",
       "2  0.085299  0.050680  0.044451 -0.005671 -0.045599 -0.034194 -0.032356   \n",
       "3 -0.089063 -0.044642 -0.011595 -0.036656  0.012191  0.024991 -0.036038   \n",
       "4  0.005383 -0.044642 -0.036385  0.021872  0.003935  0.015596  0.008142   \n",
       "\n",
       "         s4        s5        s6  target  \n",
       "0 -0.002592  0.019908 -0.017646   151.0  \n",
       "1 -0.039493 -0.068330 -0.092204    75.0  \n",
       "2 -0.002592  0.002864 -0.025930   141.0  \n",
       "3  0.034309  0.022692 -0.009362   206.0  \n",
       "4 -0.002592 -0.031991 -0.046641   135.0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "diabetes_df = pd.DataFrame(diabetes_data.data,columns=diabetes_data.feature_names)\n",
    "diabetes_df['target'] = pd.Series(diabetes_data.target)\n",
    "diabetes_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For single feature model\n",
    "x1 = diabetes_df.iloc[:, 3].values.reshape(-1,1)\n",
    "y1 = diabetes_df.iloc[:, -1].values.reshape(-1,1)\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "x1_train, x1_test, y1_train, y1_test = train_test_split(x1, y1, test_size=0.2, random_state=0)\n",
    "\n",
    "\n",
    "# For multiple feature model\n",
    "x2 = diabetes_df[[\"age\", \"bmi\", \"bp\"]].values\n",
    "y2 = diabetes_df[\"target\"].values\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "x2_train, x2_test, y2_train, y2_test = train_test_split(x2, y2, test_size=0.2, random_state=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fit a Model Using a Single Feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "model1 = LinearRegression()\n",
    "model1.fit(x1_train, y1_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fit a Model Using a Multiple Features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "model2 = LinearRegression()\n",
    "model2.fit(x2_train, y2_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Report MSE, R-squared, and Coefficients FOR EACH MODEL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model 1\n",
      "Mean Squared Error: 4167.707308746784\n",
      "R-squared: 0.19471852015124114\n",
      "Coefficient:  [[737.01004809]] \n",
      "\n",
      "Model 2\n",
      "Mean Squared Error: 3709.349965731557\n",
      "R-squared: 0.39523367826289535\n",
      "Coefficients:  [-10.66781141 831.15297105 388.23275275]\n"
     ]
    }
   ],
   "source": [
    "from sklearn import metrics\n",
    "print('Model 1')\n",
    "y_pred1 = model1.predict(x1_test)\n",
    "print('Mean Squared Error:', metrics.mean_squared_error(y1_test, y_pred1))\n",
    "print('R-squared:', model1.score(x1, y1))\n",
    "print('Coefficient: ', model1.coef_, \"\\n\")\n",
    "\n",
    "\n",
    "\n",
    "print('Model 2')\n",
    "y_pred2 = model2.predict(x2_test)\n",
    "print('Mean Squared Error:', metrics.mean_squared_error(y2_test, y_pred2))\n",
    "print('R-squared:', model2.score(x2, y2))\n",
    "print('Coefficients: ', model2.coef_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create a Plot FOR EACH MODEL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x20b77bf9c10>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.lmplot(x ='bp', y ='target', data = diabetes_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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A5H8WrG41gImS00/lP3MESm1OLGdaKTSKIBql2XpP9mUvmsZxJtaYg3bk9CI++dBzeH0hA78k4M+uu4gctGUO9QPdh7SyNo46aZxzlXP+RgBrAFzFGLukxuGVYg34OQcx9jHG2EHG2MHp6WnLZaOKQdSiVXenN0orx2g7hV3aQjiLFdtstt6TfdmHmnfQsrJ1B+2no1H88b8cRiyjoCfkw1/99uW4etOAjaWsDumKd6F+oDOY0WjSytowPSqxCTdi7M8AJAH8dwDbOednGGOrAOzjnF/IGLsLADjn9+ePfwLAvZzzquGOV1xxBT948KDlMhWy+rRC/D7RPEqzDZVmAlqOwtHCma8aWmDSqLYQztCIbZbqfWc+zXM8q7RavV5WqBrHmcU0cmXbtxiFc45vPzOB3T8/DgBY0xvC/TdcitU9IUvXGx4Ik660GdQPtJdW6T95rG9TVVccc9IYYwMAZM75AmMsBODHAB4A8A4AsyWJQ/o45/+LMXYxgG9BX4d2HoCfANhUK3EICR7hBDfvPnBOjHQqp2AwEnQklbXHxGJJuVpBbKtAnak2xA7bbIV67VVNaCaKquHMYgayas1BUzWOnSNj+N7hMwCAS1d34/MfvDi/f5w1yEkjrLJcbLrZ/ScreLANqKorTmZ3XAXgnxljIvSwyu9wzr/PGHsKwHcYYx8BcBLAbwEA5/wlxth3ALwMQAFwq1OZHQl3aBWRauZiYi/vV0aZrwivYYdtOl2vG9U5L2tCs2jUQUvlFNz3/Vfw9PE5AMA1Wwbxv957IfySoys8CKIiy8mmjWi0233BVurbOJnd8QUAb6rw+SyAd1U55wsAvuBUmQhjOGFAboqU2edpZrYhL4sFZb4ijGLWxqxqjB226WS9tkPnvKwJzaBRB20mkcWfPHIEx6b15NIfumot/nDbBgiMUuwT7uCkTbvt8JRTT6P3jUbx2T2HEc8oUDQNM/EsPrvnML584+VNK3cr9W1oWIlYglObO7q1ebKV52nmYuKJ+RRCPnHJZ14RC8p8RRjBrI01ojF22KaT9doOnfOyJjhNow7a+HQCt/6/53BsOgGBAX/0ns346H8ZJgeNcBWnbNqLm3HX0+gHHh/FfEoGByCJAjiA+ZSMBx4fbVoZW6lvQ04asQSnnCm3Oh5WnqeZ2Ya8LBaU+Yowglkba0Rj7LBNJ+u1HTrnZU1wErlBB+3giTnc/vDzmE5kEfKJ+IvrL8UHLltlW/l8InWXCGs4ZdNuDX7Xop5Gj88kITBAYAwMDAJjEJj+ebNopb6Nk2vSiBbEqWlgtzYstPo8zdoU9parh3HPYy8hlVOWLGD1glhs3zKI+wDKfEXUxKyNNaoxjdqmk/XaDp3zsiY4RU7RMLmYgaJZc9B+9OIZfHXvGFSNoz/sx/3XX4oLBsO2la/DL2EgErDtesTywimb9mrYXrP6T1Zppb4NOWnEEpxyptzqeNj5PE7EfntdLLwutoT7mLUxtwZsSnGqXtulcx0+Acdn9Y7WcH8n/vevbWlbO2zEQeOc4x//4wS+eeAkAGB4oBP3X3+prQ5VX6cfPR1+265HLD/sbucLfZHpeBYz8SyGuoOIBHVnzeuz7htWdODYdBJM42AM4BzQOLCxv7llbpW+DTlpxBKccqbcckbseh4nE5+0ilgQRCXM2lg7zxQ1qnOlOrNpMIy0rCKZa98kx1lFxeRiBqpmfiugnKLhKz9+FXtf0dffXLm+F/d84CJ0Buzp1ogCw2AkiJBfrH8wQdTBrna+VCOGugI4vZDBqfk0VvdwSKLgeS29831vwGf2HEYiq0DVOESBoSfgw53ve4PbRfMkTdvM2glozxFnaLfNHe14nlbY+4NYAu1n1ETM2li7aYxdLCedyci6g6ZZ6IPEMzL+7LGX8PzEIgDg/ZcO4VPv2gTJpnVjQZ+IwUig0vVIVwhXKdeIWFrGVDwDzoGt63pbQktJ/8/BlX3SiBal3WZ27Hger8Z+E4QXMGtj7aYxdrFcdCadUzEVs+agnVlM465HjuDknP5OPrJtPT501TowmzI4dod86Ov023Y9grCTco3oCvkQCUpYTMstM5BD+m8cSldEEAZYrhnXCIJoHstBZ1I5BZMWHbRXzsTwiW89h5NzKfhEhj99/xvwu2853xaHSmAMg11BrAgHyEEjPMty0AjiLDSTRixLzCYBacd1NF7bBJNoP7xQx7xQBqO0o86UkswqiMazsLLM4hfHZvDnP3gFWUVDJCjhvg9ejMvX9NhSLr8kYDAShF+icWvC27SCRuzcexRff/I4kjkVnX4RH922Abe9e7PbxWpJyEkjlh2VkoB8Zs9hDIQDiGeVih257VsGceOphXOEpxmdPSudzHrnOJkIhWgvrDo5za5jlcoJwHP1vNb79Hq2V6vsG43ib/e9hl/OJbGqK4SbrlyLq4b7DJ//yKFTePCnr4EDWNUdxP03XIp1ffbMHISDEgZo9ozwMOWacePW1XhqfK6pGmG0Hdi59yh2jByDwABJ0Gf5dowcAwBbHLXSckQCEjjnSORUzw/AWYUShxBtRz0xqbTw9vRCGpLAsDGfUU1W+ZINGEs7nKWjV05tcl36LGbva+ScZZCggBb420Aj9b6ZdaxaOTt8AmSNO1oGM06sWzriJvtGo7j70SNgAII+ARlZg6Jx3H7NprqOmqpxfO1nr+GRQ6cBAG9YFcGf/8Yl6LUhJT5jDCvCfnQFffUPLjmtkXuSrhBm8YJmmCnDZfc+gbSsQhLOzkormoaQT8QL977XtnIoqobTCxkAwOqeYDGzZbX34vGIiqq6QnP7hCX2jUZx8+4D2PbACG7efQD7RqNuFwnAWSOOxjNLRs5Lyzcxn0LIdzat8kwiC4EBKudgjKHDL8EnMuzaP148Ztf+cfhE/XfVjnECK/c1ck75OwDaM0EB0RiN1Ptm1rFq5Tw+62wZjOiNkXI6pSNe0OkH9x0Dg/7eGfROniQwPPzMRM3zMrKKe7/3UtFB27axH3/5W5fb4qD5RAGruoNmHTSixfBC/W8Ut/oeVsuQzKkQylwOgcGWrURKyzGTyEEUGETGMJPI1SyTWZ32EuSkEabxcoU3IiblC29zqr6Jqr8k3XJ5R84tp8bKfY2cQ4uPCSM0Uu+bWceqlbNwT6fKYLYD1Uwd8YJOL6ZknJxLIehb2tUI+gRMxtJVz5tP5fBH3zmMXxybBQDc+ObV+LNfvwhBX+N7lnX4JZzXE7LlWoR38UL9twMvDKiaKUOnX0T5toca1z+3sxw5VQNjAGNn+3DVyuQFR9cq5KQRpvFyha8kJoqq4dDJ+eJo2tuG+yCrHKmcAs71zRQ1DgxEAsVzyjtybjk1Vu5r5Jxbrh5e8g5SOcVzi4+tUBg5XX/nD9yvjG1AI/Xeah2zMvpdrZzD/Z2O1nOzHah679POkX+3dXohlcNsMotVXSFkZG3J7zKyhqGuUMXzTs6l8IlvPYfRyTgEBnzinRvxP7dvhFg+PG+Bvk4/hrqDtlyL8DZu13+7aKZmWC1DaTkAQFY5sooKjWtQNA0aBz66bYOt5fCLAjgHOD87wF6tbfKCo2sVctII0zhV4e0Qm3Ix0debZcCA4mjankOncePW1RiMBLGYlrG+rwO9HT6IAqvakXPLqbFyXyPnbN8yiPuuu7j4DgYjwZZfF1M6cgpgzu3ytAON1Hsrdaza6PfOvUdrakO1ct5x7RZH67lZJ7bW+7R75N/Njsl8Moe5ZA4AcNOVa6FoHGlZBYf+U9E4brpy7TnnHT61gE8+9BzOLGYQlAR87rqLccPW1Q2XRxQYVnWH0GNDqCRRG6+EGLZyx7yUZmqGlTIAS3V7XV8H+jp84BzIKRwhn4jbr9loS9KQ0nL0h/1QNQ6Vc/SH/TXbplaOHKLsjoRp1vZ2nJMQoNKoiplFmnZlgitPTzuld9gx1B0sjqalcgqeGp9bkjigUsrY8uyObmRd275lEG9+/hQee2ESqqbP+l132VDN+xota7ttKFk6ckrYQ6P13mwdK/8O9bUHGTy47zWs6Q1V1YZ65XSqnhtJh200M9vNuw9UfPbbHn4OfklATtHgExk2r+wy9B04odNGmEvmsJDKFf9/1XAfbscmPPzMBCZjaQxVye74k1em8KUnXoWscvR2+PCF6y/BlqGuhsoCAEGfiMFIAJJIY9JOY1c7bke9NFL/rdDsBBS1tK2SZqRyCnbtH7e1TPX0tVy3V/d2oLfzbIKmguNeeGdvG+7DU+Nzpt9heTk2DYbBOUcyp2IwEqx6nVbYtqAalN3RI3g888wS6mX6sZKNyM5McIV3eWo+hWg8i6GuALpCZ0dQOedYTMv4+R3XGHoeNylNZyswPbZb47BtZKqd2PbACHpCPjDG8OLpxWdPfPHXrrB6rXbSllai9Dss8Fo0jpzK8YZVZzvsXspEWqo35Z0XM9pS/uzxjIzT82lonENgrJj/a0WnH35JNDwrWe3eO/cexYP7XoOiaQiIAro7fPCJ9a9bi9lEFotp2dQ5nHN86+mT+L9PngAAnN/XgftvuBRD3UFLZSilO+RDX6ffzvT6lN2xBna043a1x060617rK1TSy/L+jdvl+PwHL1nyzmaTWUTjOQyE/egPB5qaKbvWYKPLffCqukJDzh6g1fasMjuqYmR0Z2I+hZ7Q0kxbVkMTSkfvC41GKeWjaVbKa5RGDf/rTx7P7zeijwILTE9n+/Unj5OTVkalkVOitaj0HWZVDUGpetiS2wNctWYLzWhL+bNPx7MA09dcCAKDwBg0jSOeUTDULdXVp1o6vW80igf3vQaNc/hEASoHZhMyVoRhWfem41nEM+YcNEXV8Nc/GcMPX5wEALxxbTc+d93FiDSYdVFgDAORADoDpAXNxI523K722InoFyf7ClZwarbQCKW6G0vLUFQNA5GzAyuFcpS/s1hagcCAeEbBQCTYtHdYS6e93AcnBfMAXjN8I5RX+NLp7On87FUp9YS6mth0+sUl0+RmRdbINLedDmIpdhh+MqdCKovSsSudbbtR+l0TrUkle5UEAZHg0qaq0AHwwobZtRr+QyfnoXEOvyigPxxAV8hXVVvKnz2jqPoMGvQMZoWfOVUzrE/VOia79o9D1TgkgYGBgTFAA8diSsYpwbzuReMZJDLm7C6ZVfC5772Mg7+cBwC856KV+MyvboavwbBEvyRgZVew4esQ5rHDaajWHo9F46b7AnaH9DvVV6hHNd1xK4yvXHdVTUM0roc4l86O3XL1MO5+9MiSd5ZTNQglGRkB99cKerkPTirmAVp9gWv54lXGgNMLmSWjqvWEutLC1MW0jNlkrqFFsUaSFzi1qNSO7FJOprNtN0q/awC1d8klPEkle711+wXwS2LFRevNzOBmZpF+4VgGPY5FUTleX0wjlparakv5s3f6Jazo9CPkE1FYlVDIZNaoPk3MpxCQBJSudmBMn7U0c13OOaIx8w7adDyL27/9fNFB+/Bb1+HOay9s2LEKByWs7gmRg+YSdiTYqtQezyaziGcU19Ppu5GAopbuuJUArFx3+8NBDEb8SOXUc8pR/s78ogCNL93yyO0kHl7ug9NMmgdwc8raDspHIVZGgji9kMbkYgbhgGRodKdSaIJfFJBTtYoL6btCPttG0+wajSof7RqLxjHUtXRdhVnD/+i2DdgxcgyKpi1Zk2ZHOtt2pOS79v6KYKIilez1sjU9FcOWykdpAXM2ZmZmzMxoa+HYoe4gXl/IAAxgHJiKZ4oL3Os9e6Fz1hUCZuI5aEz3qCJBX8Oj5Wt7O6CoGmaTOUDTHTSVc0iCUDPpSen74ZwjGs8imTXnoB2LJnDXv72I2fxmtH/0ns143yVDlp8FABhjWBH20+bULmNHiGGl9nguKaO3w+f6TIcbM1f1dMeNBGCVZhRXdAYgCeeuhSt/Z10hCdF4DpGgBM75Oe/QjfB1J/vgjT4POWkeoJUzzwDnGmxXyAeAYzKmLyI3KtTlYlNYjFognpExE8+BA1jXpxvVZ/YcxkA4gHhWqWoA9YzEjoalUthVPKPAJ2bRHz43TtsohXVn5ZknaT0asZyo1BHZNxpFLC3jzGIaQUnEQCSASNBn2MbMhkqaCXUqHMsYw3k9wJmFNGSVg6vc8F9lw30AACAASURBVCx4qS7Jahw5RYNfZNjQH26441Joc1Z0+hHPKMgqGkSB4dbtF1RMelL+ft5x4QCmYlnTocVPH5/D5773cjGU/d7rLsabz++1/BwA4BMFDHYFEJAousALNOo0VGqPF1I59IfNLaFwgvKyhQMSfALH3Y8ewdr9ziSjcCvEshZmnJryd7Z+RRg3X9lXMcOtW2vDnOqD2/E85KR5ACcWuDaTSgYriQK2ruttKPtatYX0AVEAYwyKyrGQkpHIKNg4GK5oAEaNpNGGpdJoV2+HD3NJGR1+qSHDv+3dm8kpI4gSCnbd4dftKqdqOD2fRn9EhU8UDdmY2XUIZjompcdyDmgAJJHBJzDkVM1wQ+3UKLmRNqfa+/m7n72GzUMRZGRz62K//8IZ/PXeo9A4MBgJ4C+uvwTDA+GGnqMzIGEgHIBAm1O3FeX1vlLWSLeijQplq9e3sMvh8GKklVmnppKO3VbhOLfWhjnVB7fjechJ8whuTFnbhVOjENUW0hdG1GYSWQj5MJ3SPdBKDaBZRl9ptKs/HICiahiMBFvS+SYIr1Kw6+5QEAFJxEwii6yiIZlVsfOmywzZmNkRajM6V3rsTCILAGBgGOxqXjazetRrcyq9n6Ak4JezSVMOmsY5/uHJ4/jW0xMAgI2DYfzF9ZecMzNilr5OP21OvUzwYrRRvb6FXX0PLz67U06Nm7OGTvTB7XgectKIhnHKYMuv2+mX0OEX8+GUenYghqULUMsNYGI+BZEB49MJ5FQtn2XNf06mKKubKxaoNtq1aWWXJ/ZyIoh2olLjxxiQVTS8cGoBu/aP4+hUDLLK4ZcEbBqMnGPTZkeozehc6bEnZlMIiLqDVkgt73a4khHK3w/nHPGsgpVdIcPXyCkaHnh8FD99dRoA8JYNfbjnAxch1EDiI0nQwxuDPgpvXC402sdwYp1TvQ64XQ6H3f0rq++i0nl29228OGvYCHY8DzlphC04GZZTHrpYGFESBT3kcSBydkS23ADCfhHHppMQGYOYD5E8NZ8GYyhmSzo+k8DTJ+YwGPFjRWfAUliCF0e7ynF7PymCsItC41fImiiAgUF3JHaMHEMkIBa3qUjnVJyYTZxj01Zs1ozOFY51M1SrEZsvfT9BSUA8q2fqu+nKtYbOX0zLuOfRI3jxdAwA8OuXr8Jt12yC2EBoYtAnYjASgETZG5cdVvsYTq1zqtcBt9PhsKt/ZfVd2P0OvbalgFPY8TykdETLUJ5udn1fB3o7fBAFVjXdLytuMHT2j8r1zU4L6WPjGX1zxVhaMZXGu7A33LYHRrBr/zjevK4b0/EsXpmMYzqexY1bV3vGCTKTPpwgvE4h1fdUPAMGoPCXwJhuyxkFAhgkQYAgMMTSyjk23az01bdcPYzFtIyxaByjkzGMReNYTMtN28uo3OZ37j1a1K2bdx+oqgGF99MfDmAumUNfRwC3X7MJVw3X393i9EIan3zouaKD9rGrh/GpdzXmoPV0+LGqO0gOGmEKp7bpqLfdgB3bEdiN1XdR6bycouK2h5+rqyPluLWlQGl/zUx5G8GO56GZNKKlKB9R2rn36DmZD0t/H88qWN0TxEwiVwx3lBlQuvWY0c0VS0d/IgEJ04ksukO+ktm4HAYjfqzr0/cF2XPoNC5b0+MJR83LmzUS7YtTs7eFEKBbvvksNM4hMX1D5oyih0BzGNsAullrgRn0QnHOAa7P+jlNJZufSWTw4L7XsKY3ZGhE/O0b+7FhoBNq+WaNNXj59Rju/u4RLKRl+ESGu963BdsvtP6ORYFhIBJYMiNBEEapFHaoqBoOnZzHtgdGztElo5pVLwzRiwnhrIZglp8Xy+9hq3FezLRtdGbNjS0F3MoaCdRvYxRVqznwRKpHtCz7RqPYc+g0BiIBrMtPJZc7RoWQg9IsYmNTcZT2kgr7sdXaXLHcyI9FE1A0jk6/BOZfOhvXH/ZOcoACVsWZQiQJqzjdMG7fMoit63pxYjaB2YQMxlDcSxDQGz+fJNq2AbRVdu0fR1fIh6Hus2u5nNKGUnudjmcx1LU0OcdiSoaqcUODNVlFxeRixpSDtn9sGn/xw1HkFA1dQQl//huX4JLV3Zafh8IbiUYpDzuMpWWcXshAEs7VJQCmNKteB9xrCeGshmCWn1dIhhSUxIpJ22r1G9xIDuLVQepEVsFMPIv1/Z1VjyHlI1oWI1P3lUIOIkEJ4YBU/CwSlKBxoCskVQ1LKL+XyjkEdlasjM7GucXaXn12r5R64kwhkkQjOBVmVMotVw9jLimDg4NBD2MG9DEYlQOKpkHTOLpCkmuhRhPzKYTKklw4oQ3l9soAnF7IIJaWi8dkVQ0BaWmzX6ksZh00zjn+5dlT+NxjLyOnaFjdE8L/+dCbGnLQukM+Cm8kGqa8DzAVzwAAhrqD5+hSMzTLTayGYJafl1U0gGNJPoCCjtTrN1jpizRKszTYKKrGEY1lEI1loPHaGkszacuMdpoZMTIiUynk4H//2kV44dTCkjDJ6y4bwmQsVzUsofxeflGArGpFp8zIbJxRnPiOrCxg9eroE9Ea1LNPO+r59i2DCAdEZGTdFgOSgD6/iERWQUbRQxz9koD1KxrfANoqRkevG30f5fY61B3Eqfk0puIZRIIS0rIKSRAQCS5t9svLkpF1B61e56GAqnE8+NNj+O7zrwMALlrVhS/8xiXo7vDVORN4enwODz8zgTOxNFZ1hXDTlWvxto0rKLyRsI3yPgDnwOqes5lWgbO6xAH0hHyIZ2RMx7PIqRp8AsNiyUCHVbzQ97Iagll+XodfRGdAXPIOCzqya/84ZFXFbEIp9om6QlKx3+BGchAvZY1M5RTMxHNQNK3+wSAnzbM4YdD7RqP4zJ7DSGQVqBrHTCKLz+w5jK/ceLnpa3tBcIwaXnnIQaUwyWdPLtZc0Lm2twMnZhOIpXXhERmDqnH4JKE4GzedyBVn4wrC87bhviWp/uu9J6dCxKyIs5t7lhCtS0EbpuNZzMSzGOo+2yEq2GehnucUFfGMgsnFDA6dnMet2y8wvXH75pVd5+hAJKdgMBJ0bPsLM/pnpFNixe7Ly3B0KoZVJSGVkaAPq3s4JmNZLKZlrOntwAcvPw97Dp2uWhYjDlqpYzUYDkLRNLwyGQcAXL25H3dduwUBA+nxnx6fw46RMUgCQ1dQwmwyi50jYxiIBHD+iurhPwRRiVo2WdoHKGRbLaW031AaPi0KDLLGEc8oxcQWVsvm1pqocqyGYNbKtJ2WVcwksnh9IY20vNT5UFQVmbzOFK7T7LV6pRqsqBqm4ll9exZRaOh7NYOmccwmc4hnzDn8FEfgQZwKM/vij17BQkoG1wCRMXANWEjJ+OKPXvFE+cxidereSkjD24b7EI3nimGNKufgAPo7/VhMy9jQH8bt12zE+hXhYhafG7euxp5Dp029JyfDLbZvGcRDH3srfn7HNXjoY2+tK0xuhCUQrU2pNgx1BaBo+pYXsXRuiX3u2j+OnKJiNpmDonJIAoPGOR7c95ppHWl2FjWz+mckw5dZu69UhkRWLYZfF5BEAVvX9RZt/rZ3b65aFqMO2o6RMcwms+jwCRidihUdtN+5Yg3u+cBFhhw0AHj4mQlIAkPIJ4KBIRyQEPQJ+PqTxw2dTxAFzNhkLb0oD5/meX+jt8PXUBvcbmGU5ZqWUzTE0gqUKuHRKgdSOXXJ+Wb6InaV1ycwnFpIAxxY0xNETtWa0nfNyCpOL6RNO2gAzaR5EqfCzI7PpiAwQMinQWYM4BrH8VlzMyNeCYOzOiJjZYboqfE5DIT9iGfOTuFHOiWs7etcMlp/W8k5N+8+YPo9eWn2qt32LCGcp1wbAIapeAaTsSy2rust2ufdjx7Rk+2AFfVIZICsaqZ1pNkjs1b0r97otVm7r1SGvk4f5pIyOgNSTXutVJZ0TsVkLKNnn6xBwbESGMPEfLrYKVvTE8It77ig5rnlnIml0RWUAAb48lsliAKjmXrCNGZssp5elIZP+0UB/eEgIkGpoXrppXbdLkp15LJ7n4Ak6lueyOrSgd2CouQUFW6yfcsgdu0fx/qSxEmAc0mcAH2t7nxKxkIqZ/ka5KR5EK8btJfKZ2Xq3kp88sR8Cv3hAAYiweJnnPOaz2zlPXkpdtqLKYQJb1Ne57tCPkSCEhbT8pLBjLW9HZhc1DOsFeAcCIiCJR1pZhY1J/TPrN1XKsOKzgBklWMwEjRlr8msgmg8W9dBA3THShIYTi+koXF9oG9VV8Dw+opSVnWFMJfKoivoK+5nSTP1hBXM2mQtvagUPp3KKQ3VSy+1606QzKmQqsTlCUxP5CQK7gfuNbPvmlM0ROMZ5BTz2lgKOWkexCmDHu7vxFg0Aca5PovG9XTVmwbMxf+3uuBYmSGy8sxWEgZEAlJxkbIXZq+8lkKYMEez144arfO3XD2MQyfnoXIOMa9FnAPdnT7P64gT+mdWk6qVYdNgxNQ6vEKCBKMERBEn8x0aUWBY3R0EBzDYGah9YgX+8FfW48s/fhVpWfWE1hGti5026UQESTtEpdRqSzr9+jMVHLLS4R6fIEDlHBtWuK/rzeq7LqZkzKVyhga+6uG+a0ucg1NrLO64dgt6O/TUzIqqb/ra2+HDHdduabh8sbSM+WTW8d3cjewaX+8YK7vAW/lOjJxTHkufy38vhYxSVnaoJ1oXI/XbzLWsrB1tpAxG7WT7lkHcuv0CCIxBVjWIDFgR9sEnip7vuDihz+Wa5BcFdPgE3P3okYrfgR1lWEwZd9A45/jGUyeKDppPYFjbqztoisZx05VrDd+XMX1z6uvetBqf/+AlpnSYICpRzx7MaJqV/kE9nLimHRh9L/Xako9u2wAtv+VJ+YwaE4CeDh/ufN8bnH6cmuwbjWI+mcWJ2STGpuLnrJO2A0XVcGYxjdmkscgEIzC7LnTOhRlbC+AbAIYAaAB2c853MMbuBfDfAUznD/0TzvkP8+fcBeAjAFQAt3HOn6h1jyuuuIIfPHjQkfK7TWHUwu4wM7uuW3qdcEDCdCKL7pBvySiR3SJUmiGp2n2MHNPI/c2+u3rnFDJNlYdWOJmZbpnA6h9SHTe0xe66a6Vu2VEGM3bilM45jZPlNvodNFKGuWTO8DoJWdXw1X8/iidemgIAbBwII+QTMZ3IYCifNv+q4T5D1/KJAga7AghIxpKLeJCW05XlQjV7cLJP0MqYeS9G2pKde48WtzUKSAL6QhKYIHhC10uftTS74+bBMO64dostZYtnZMwmcoa3LilleCBcVVecdNJWAVjFOT/EGIsAeBbAbwD4bQAJzvlXyo6/CMBDAK4CcB6AvQA2c86rrjYkwfMGzXI0jNyn1ZyebQ+M6BvPstK1ORyLaRk/v+MaF0vW8rRcZ8ruumulbrWa/bQjTn8Hs4ms4X2fEhkF937vJRw6uQAAeO/FK/FH79kMn4UNpjv8EgYjgWKimBal5XRluUOaVhkz76XV+ylO1oHCdlbJrGL5GrWcNMfWpHHOzwA4k/93nDH2CoDVNU75IICHOedZAMcZY8egO2xPOVVGwh6atRjTyH3cTGpiZf1Pq6/vI+zD7rprNUGOm0mBvLD/ots4+R1Mx7OG00BPxTK465EXcSKf/fe/vf18fPit5y/pqBmlt8OP3k6/6fMIolHc1rRquK11Zt5Lq/dTnKoD6ZyK6XjWUuIkozQlcQhjbD2ANwH4TwC/AuATjLHfB3AQwB9zzuehO3AHSk47hdpOHeERmmXARu5jJVmHHQJpdbNKry0oLn8vbxvuw1Pjc8u609ws7LajZiXIqYZZG7NqQ3bYstsdplKc0lMzDtrRqTj+9N+OYDaZgyQwfOa9F+JXL1pp+p5Cfv1ZZ4BylBHu4EUHwwubWxt5L4UQxkRWAQfQE5KwuqejblviJT0F7K8DdqTWN4rjiUMYY2EA/wrgU5zzGICvAbgAwBuhz7T9ZeHQCqefE4vJGPsYY+wgY+zg9PR0hVOIZtOszWSN3MdKsg47NuO2ulmllxYUl7+XE7MJ7Bg5huMzCVc3LW8WbmuL3XbUrAQ5lbBiY1ZsyA5bdkIPGsEJPTXjoB0Yn8Wnvv08ZpM5dAZEPPCbl1py0HyigPN6QsveQXNbV5Y7zd7s3ghe2Ny63nvZufcodowcQ1pW4RMZBADzKQW/nE3WbEu8pqeAvXUgp2h4fTHTFAcNcHBNGgAwxnwAvg/gCc75Vyv8fj2A73POL8knDQHn/P78754AcC/nvGq4YzPiu702IuBVmpUAwMh93EjWYWfMtlt1rvy9jE8niht6Dg+EAbRULH9Lrh3xQiINO8pgxcYaXUNXSCefUVR0+iXsvOlNhspdqazT8QxSORVdIZ8rum9nPTDjoD36/Ov4m5ExaBxY2RXA/TdcivUrzG3RAgCdAQkD4ZZff1aJltSV5Ua1iBCvJCjyyhqvcp0pjZw5s5gBOIe/JMmPomkI+US8cO97q17Tq2sA7dDURpKD1MKVNWlMr33/F8ArpQ4aY2xVfr0aAFwP4Ej+348B+BZj7KvQE4dsAvC0U+UzghempFuFZu2nZeQ+5ccU0swWBPvoVAyrukNLzlFUDYdOzmPbAyOWOmV2TafvG43is3sOI55RoGgaZuJZfHbPYXz5xssdf7/lcds5VYPA9J8FvBDL3854YV86O8pgZg1AofGcjmcxk8hiZSSIrvy5RtfQxTMyXl/IgDFAEhhSObWqVpd34Mr1IJaWMZvUG+J1fR226b6ZwRe76oFRB03jHLv3j+M7B08BAC5cGcEXrr8EfSbXkTHG0NfhR3eHr/7BBOEAlfptew6dti1CxY5BVKdCMK2WjQNYSOXwjQO/RHfIh56QD6fm0wD0xBhifrBFYPrG1bXw6hrARjRVyycHSTSQHKQS0VgGf7vvNXzjI2+peoyT4Y6/AuDDAK5hjD2f//N+AF9ijL3IGHsBwDsBfBoAOOcvAfgOgJcBPA7g1lqZHZuBF6aka2HnnkqtdG8zVJp6T2RVzCTO7g8US8s4vZABAyxPz9s1nf7A46OYT8ngACRRAAcwn5LxwOOjpq5jhbW9eqx5Ab8oQOP6zwJux/ITrUF5XQKqrw0t2OdQVwCKynF6IW14D5vCfabjWTCmr4ECZwhIQkWtNqIHhX8HJdE23d83GsVn9hzGcxPzmIpl8NzEPD6z57CjumnUQfvF2Ax+82tPFR20NwxF8NXfudy0gyYJAlZ1B8lBI1zFyX6bXaF8ToRgmi1b+fHHZ5JYSMlQVA7GGAqT4KVJMTSub1xdC6PabwdO9UNLr/vbf/cU/vXZU7Y6aIqq4TsHJ/Df/ukZ7B+bqXmsY04a5/xJzjnjnF/GOX9j/s8POecf5pxfmv/8upJZNXDOv8A5v4BzfiHn/EdOlc0oE/MphHxLK6QXRgQAd+N+nbq3EwZXSbD7On2YSWQxFo1jdDKGifkUNI1jqDtYU9Rrlc+utWXjM0kI+c4mA4OQF8vxmWTD76Ie5Q1HV0iCxoFIUPJMLD/RGhjthJTaZ1fIjzW9IUgCw2QsW3fdw827D2AsGsep+TRSORUAh6ZxaODoDwcqanU1PZhPycWyZhUN4MBAJFA8r1Hd/+KPXsFCSgbXAHAgK2uYSeTw8f/3rCOaHY1nDDloI69Ecd8PXi6m5A8HRMyncnhxYtHU/YI+Eef1BBH0tez+ZzUp1Lf1d/7AGyO0RNX22Ml+m10OYKX+wo1bV2PX/nHL/R+zZSs/XuUcAjs7SNWfH6TROKBxDYqmQeP6xtW1eNtwH07Np/HKmRjGpxOYjmcc6Tc42Q8tXDccEHFmMY2v7j2Kp8fnbCn3kdOL+B/fPIS/+9k4MrKG3jqDWst7RW8dvJgVqECpgQH6HjSpnIJd+8cdD5dy4t5OhZZWmnovzBCB63HgGgdEASgNMy4XdSPl80KoWiNs3zKI+4Bi3Pb6FWG8dYMfPxmdxiuTcXT6RXx024aWfkbCGmbDaMrrUrU1AOX2GQn6EA5IWEzLhjbcHuoKwidmMbmYhaxwhPwC+sN6uGQqp5yj1ZX0YEVnALLKMRgJ4tR8Ch1+EZ0BEZHg2eMa1f3jsykITA8rUrSzQpOWNdtD6KPxDBKZ+qO+p+ZT+NITr0JW9fIMhP3oCfmQUTQ8/MyE4Q2qu0M+rAgH6h/YopTWNwD29NSIhqjVHjvZb7MzlK+0v2BH/8ds2cqP94sCMrIKWVUxOhmDXxTQ6ReQUTgUDcX2/7Z3b65ahn2jUew5dBp9nT4spmRkFBVKiuPW7ets7zc41QfetX8ckqBHBmgaL2ZGNqOJlVhMy/j7/eP44ZFJAPri1usuPw8fqeP0kpNWA6+lRy/FzbhfJ+7tlMFVEuypeBZ+UcCmlREAZxNkzCSyVdfCNMsp3rCiA8emk2AaB2O646hxYGN/cwYGKjUcA5EA1uXr/55Dp3HZmh5y1JYRVjsQRgYtrHSoym2xPxwEAMwlZQx1BxHyiVVn7qrdb9NgpOgUFp7XCd0vhg4xAFz/URjtbtSmOOeYjhtbN3Hk9CLu/u4R5FQNDMBQVxCRoP5Ogj4Bk7F03WsIjKE/EkC4zbM3ltc3wn1qtcdO9tuccgDt6F+YLVv58eGAhGROBQOKa9E1Dtx+zcaajlml5+gOBYu6nMopeGp8DrcZuoJxnOoD/3IuiU6/Hj1UwKgmVkLjHE8cmcSu/eOI5QfPNq8M49Pv3owLhyJ1z3c8BX8r46X06OU0M+63Gfd2KkShWtjVyq6zI78DkYAegqRoVUOzmhX6euf73oCeDh+YAKicgwlAT4cPd77vDbbexwheX5NJNAcn64GVtRmVbHFFZwCRoFRXq43czwndH+7vzIcN5T/I/wxIgi06wjnHVMyYg/bT0Sj++F8OI5ZRIAn6PmYFBw0AMrKGoa5QjSvo6fVX9QTb3kEDKtc3wl1qtcdO9tucSudvR//CbNnKj19MyxAZ4BdZcS36YMSPp0yE+TVziZDd/dDCINdgOIhM2XWNaGIlxqcT+NTDz+PLPz6KWEZBp1/EJ6/ZiAc/tNWQgwbQTFpdvBrC5uYsnxP3dmqEqlLYlV8UlmQsjAR96I+oSGZVLKbliqFZzQp93b5lEF+58XLX07AD3s3SRDQXJ+uB0bDIUozMhjV6P7t1/45rt+Czew5jJpEDhz6DJgkMK7uCDeuIpnFMxTNI18m6xjnHt5+ZwO6fHwcArOkN4eYr1uKbT59EWlYR9AnIyBoUjeOmK9dWvU6HX8JgpC3T61ekUn0j3KVee+xUv82KXhnBjv6F2bKVH8+ha0JX6GzCIM65KZ1v5hIhO/uhWUVFNJaFrGq46cq12DEyZkoTy0nnVPzzUyew59lTxYG5a7YM4uPvGDYdGk6q06I4JRZu3dtJp7NSSv7ye/lEETtvuqzqM7jhFDu3g6Ex1vZ24PhMAvGMUtwvLRKUsKE/7HLJiGbidMNrtkNVyRZjaRk+gRnaQsONgbftWwbx5RsvxwOPj+JoNAGfyLAyEoAksoZ0RNU4JmMZZOXaDpqqcewcGcP3Dut5ui5d3YX7PnhJcT3Zw89MYDKWxlBXCDddubbq2oveDj96K2R9bOf9REvrG+EN3BykdkI/Gnkes7ZX7fjC/malmNX5Zn4vdvVDF1My5lK5YnjjVcN9uB2bDGtiKZxzPHlsFv9n5Bim8wlY1vSGcPu7NuHN5/eafkbA4c2snYY2hmwvmrmRr5V7NaN8pet/SkXOjTDbnXuP4q9/MoaSPAcQGPCpd20yHKPuIrTprE14qU6Wlqlgi+GAhOlEFt0hn6XyNdvBsEtHVI3jzGIaOUWreVwqp+C+77+Cp4/rYUvvvHAAd1y7BX7J+GoHgTEMdgUqziZ5sX7YTeE7e2p89viJL/6a5R4n6Yp9NLO/0Ays9knM2F6t4wHYYsde+l5qabusapiOZ88JbbTKmcU0/mbkGA7kw0P9koDfvWodfufKtXW1ttZm1uSkEUQFmtlxK71XLC2jMyAWF90CeidrMBKsG8plN+/76/04OhWHxlEM0RIYsHllBD/61NVNLYsFyEmzEbca3lLbiAT0xdyJnFpxBLjUgTBqM63qYCiqhjOLGchqbQdtJpHFn/zbERyLJgAAH7pqLf5w2wZ9PzmD+EQBK7uCVTsajbz/FoR0hXAco/0Ps7Z38+4DODGbQCx9NjqmKyRh/YowHvrYWz3lYDVKLW3fur4Xc4kcNBv8n5yi73n2zf88WRwwu2pDH267ZiPO6zG2jq2Wk0bhjgRRhlPbARi51+SivrYkIJ1NAe7WOrDxmSREgcEvnO2cqZrWlD3bCG/hRohgqW2IDBjLOxqre4JLbLKRNXNubmViFVnVMGnAQRufTuCuR45gOpHVZ8DfvRkfuGyVqXuFAxL6w7XXn9HaVYKwDzP9D7O2NxaNYzElQxAYRIFB0Thm4jnIahyAd3MwWKGStiezMnaOjOErv3W5Lfc4dHIeO/aOYWJez/zYH/bj1nduxNWb+sFMDITVgpy0BvF6LL7Xy+cWtd5LMztu5fcKSHpSk+l4tuikeWVvPmL54oaOlNrG+HQCYn6jsZlEDsMD4aJNNrJmrtUcjJyi4bvPncK3/nMCZ2JprKqyXuLZX87j3sdeQjKnIuQT8We/fhGu2mBuj58VnQF019loFXB2zSK1X4TT7Nx7FF9/8jiSOdXQXmBOY6b/Ydb2cooGMBRn0hkDNMbrhkwDrWeL5dquahyiIOD1BWup9EuZS+bwdz97DXtf0TfOFhjwm1vX4L++/XzbEwxRCv4GcGrHc7vwevncot57mZhPQVE1jE8nMDoZw/h0AoqqOdJxK09Z25/P/JNR1IZS/O4bjeLm3Qew7YER3Lz7gKXvfMOKDj1tuMb1Tb81fePvDSvIYVxOuKUjpbaRUzUwpncqCplZC85UeSrp6XgGp+bTGIvG69Z9s2mc7bArq2QVFd89dAp/tXcMs8ksuoISZpNZ7BgZEEKhRAAAIABJREFUw9MlabJ/dGQSdz7yIpI5Ff1hP3be9EZTDpokCDivJ2TIQQOcS0tO7RfhNDv3HsWOkWNIyyokQbf9HSPHsHPvUdfKZCaNfantxdI5jE3FcWI2iflktqKd5DdkX9KmA3ra/UoU9O7Nn/8xbvnmszgxm2gZWyxoO+ccsqpBUTVkZNVSKv0Cqsbx6POn8V//8emig3bRqi7s+vCb8fHtFziSAZactAbw+j5SXi+fW9R7L5GAhNMLGSgaL4YEnF7IOLInUHknsSvkw4pOPzr9kuU9Xhrp3JR2QgGgwyc0Zc82Nzu/RG0a1RGr322pbfhFAZzrm7v7Rb3ZKjhTpfsiTS6mMZ+S0dfpw1BXsG7dN+Ng1LMrJ+twRlZxZiGDbz09AUnQ11gw6D8lgeHhZybAOcc//eIEvvzEq1A1juGBTjz4oa24YNB4NtaQX8Tq3hCCJvYFc2pfKmq/CKf5+pPHITB9YEJgQv6n/nk1nG6rzAwcFWzPLwo4tZABGLCmJwRZ4xV1b/PKLqzo9EMSGVTOIYkMKzr92LSyq+JzFvQuI2vQOMdsQkYiqzTNFht517dcPYysoiGWkaFqGtKyajqVfilHp+L4xEPPYcdPjiGZVdEVlPDH79mMnTe/ERcMOJfxmsIdG8DroTJ2la/VprnrUe+9FJPplG0860SSnUopa/2SiC/eUH07gHpYDdcsj4VPyyr8PhGrwwEkskpTMlo6vQaQME8jOlLvu62lLaW20R/24/SCnh56KBw4x5kqrKUoX0hfr+6bSeNcy64AOFaH0zkVU7EMNM5xJpZGV3Bpsx30CTizmMIXH38V//7yFADgyvW9uOcDF6HTxMBSX6cfPR3nptc3ghNrWbzevhKtTzKnz6CVIjD980rsG43is3sOI55RoGgaZuJZfHbPYXz5xsttq/9m09hv3zKIXfvHsX5FxzkJRMp1r3DtoW6p7rVL9S6nahAZAweKSzGctsVG+wVvXNeDT2zfaCmVfimJrIJ/ePI4Hjv8ejHT9fsuGcLH/suw4WiDRiAnrQGauXGfFewoXzt2oOu9l0ROxeqeIGYSuWIGpKFwoKpwN4ITe85Z7dxU6oQCQE+H39Fsjq2YvGE50YiONOLYlNvGpsEwOOdI5lQMRoIV7cRK3TfqYNS6tlN1OJVTMBXLFgeIVnWFMJvMLgmHSmVVJHNa0UF7/6VD+NS7NkESjQXKSIKAwa6AqdmzZuD19pVofTr9uqNSmhdH4/rnlXjg8VHMp2SIAoOUn92fT8l44PFR29oqK30Co7pn5tql1/SLAhRVj6YphJs7bYtWNVXVOKJxPQHbVcN9pp2yApxzjIxO42s/ew1zyRwAYEN/Jz71rk24dE23pWtagZy0BnBzQ0Uj2FG+duxA13svhc7BcMkUdiGtrRPYPQpttXPj1sg1jZh7m0Z0pFHHxqxtONmxr3VtJ+pwMqsgGs8umcG/6cq12DEyhrSsIugTkMgomE7koOSHeD+ybT0+dNU6w5nFgj4Rg5GAYYeumXi9fSVan49u24AdI8egaBoEpjtoGtc/r8T4TBJCWeINzrjtGY+d1D2j1y69Zn84gNcX04AG+ARm27rTWljR1HROxXQ8C0WrnwilFifnUtj5kzEcOrkAAAhKAn7/7etx49bVTddK7ylzC+FULL5d2FE+M4tYW4V678WphfDNwmr5zSZRsAu37ksYoxEdqfXdOqEtTtpurWvbXYfjGRlTscw5IdZXDffh9ms2YUVnAHPJXNFB84kMf/r+Lfjdt5xv2EHrDvmwqjvoSQcN8H77SrQ+t717M26/ZiNCPhGKpuvP7ddsdDW7oxWc0L3Sa0aCElZ0+iEwho6A1BRbNKOpnHPMJXM4s5huyEHLyir+8RfH8d+/cbDooG3b2I9//IMrcdOVa13RSppJaxCv7yvRaPnaNeSk1ntxIgSxEcyuCdy+ZRA3nlo4J61wvfK7NXJNI+bex6qO1Ppud+0fb0hbqtlFJdsF9I1cG1lXW08X7KrDsYyMmXi26u+vGu6DrGn48x+8AkXjiAQl3Hfdxbh8bY+h6zPG0B/2F7f48DJeb18Jb2Ok7bzt3ZsNO2UbVnTg2HQSTOP6LFp+5m1jv3v9ocIzJrMyZJXDLwnYNBhpuM9Srncb+sP4YhP7QUb7BbKqIRrPIis3thzl6eNz2PGTMZxZzK997grik9dsxNsuWNHQdesRqhJaW4A5kQyhWVxxxRX84MGDbhejram1azs1ns5j5f038p0VBL/ZzqkD921oJ0nSFvuo9t02Wk+NntssDbOjDi+mZMwmqztoAPDIoVN48KevgQNY1R3E/TdcinV9xjqJXl1/1kKQrrQITtj9vtEoPrPnMBJZJb/vFkM4IOErNiYOMVuedu6f1dPURFbBTDwLrQE/ZjqexYM/PYb9YzMAAElg+O0r1uD33nq+ozoZ8ovo7fAX7lFVV8hJI+riVsedwDnZ6oCz6+Me+thbbTunDaHOVAtgVVvM1PFWsYeFVK64QL0Sqsbxdz97Df966DQAYMtQBF+4/hL0GszIGPCJWOnR9WctBOlKi+CU3XupP9Qq2mY3msYxm8whnpEtX0PVOB45dAr/+B8nkJH1EMk3ru3B7e/aiPNXdNpV1HMI+kT0dfrLHcCqukLhjkRdvBRy0m7bAdTDyuJZSsRBtApWtcVMHS8/NpaWMZPI4sRsCjfvPuAJDZlP5jCfqu6gZWQVf/HDUTx5TB/t3baxH3/y/i2GR3ojQR/6w37D69UIotVxqh30Un+omW29V/peGVlPDiKr1teeHTm9iL/+yRjGp/WEL70dPnx8+wV415ZBxzTSLwno6/Sb3vCanDSP4hWD8BLtuB1APaysCWzXdYQEUcBMHS89NpaW9SxlAAIis0VDGtXq2UQWi+nqI8LzqRz+9N+OYHQyDgD4za2r8T/ecQFEoX5ngjGGvk4/ukPeX39GEHbSyu2gUU1p1jN6pe+1kMphPiVb3rN2MS3j738+jh++OAlAn7667vLz8JFtGxAOOuMO+UQBvZ1+hE3sWVkKOWkexE6DqGfsreQMOrkdgJH30Kx3VXqfSEAqduCMJiRoJBFHK9UHorlYqRtO1Kd9o1EspHI4MZuCT2TFEL5qdbzUHmYS+novBobBrmBVDTFa7ka1ejqeXRKy8/T4HB5+ZgInZhOQVX3NS0bWkFM1MAC3vnMjbti62tB7EgWGwUiw7sJ0grATr7QhRttBO8u7c+/RcxJ2mc0UaUZTzLT1jej3oZPzYAxYGQmC+VnTt2JSNY7peBapnGLpfI1zPPHSFHb97DXEMvo1Ng2G8en3bMKWoS47i1rEJwro6fA1nKCJgtM9SKkzwpj+0yey4gawRikYezSeWWLs+0ajhn7vNZzaDsDIe2jWuyq/T6Fz5hOY4TTUVlNXt1p9IJqHlbrhRH0qXDOnaljTEwQ4cGohDZ/AqtbxUnvIKBp8AsN5PcFi41muIWbKbVWrOeeIxjLnOGg7RsZwaj6JRFZBRlYRyyjFzWN/7y3nG3bQ/JKA83pC5KARTcVLbYiRdtDO8u7cexQ7Ro4hLauQBH1Ga8fIMezce9TUdcxoitG2vlH9VjUNmsbx+mIasZJB42YsocjIKk7Ppy07aMdnkvj0t5/Hl594FbGMgk6/iE+8cyP+9ne3OuKg+UQBA5EA1vZ12JJBl2bSPIhdcca79o9DVlXMJvSG3i8K6ApJxdGPVtuo2qmpfSPvoVnvatf+ceSUpd9ZJCihtzOAxz9tfCGwlbj5VqsPRPOwUjfKz1FUjmg8g1u++Sy2ruu1NGJdfs2ukB+pnILezkDdgYvtWwYrLrQv1xAzz2pFqznnmIplsW80ioefmcCZWBqrukKIZWRIAsNCTgXngFoS0TMYCeDF04v1XxCAcEDffFYwEA5JEHbitTakXjtoZ3m//uRxCEzPoAoAAgMUTcPXnzxuajbNrKYYaesb1e+AJELROBgHZhJZdIV8DfW9jM7qLaZkzKVylsIb0zkV33jqBP7l2VPQ8qdfs2UQH3/HMFaEAzXPLUQ0FLT5pivX4qrhvprniAJDT4cfXUHJ1nVtNJPmQezaGHUsGsdMXN/sVBQYFI1jJp7DWFRf29Dsjar3jUZx8+4D2PbACG7efcD0aJVTG9UaeQ/NeldHp2KYTeagqBwiY1BUPYvR2FTM1vtUoh03LifsoVbdqGbXpecU1oJpGoeqaZZHrButo0Y0xMw9zGo15xyTsQz2jUaxY2QMs8ksuoISZpNZnJhNQlFVZBVtiYMmMqA7JGEylq77fH2dfgx2BclBI1yh1doQO8ubzKkoNzuB6Z+bwa7+XylWnrP0nIFIAJwDHBw5VWuo72VkVk9RNZxZTGM2mTXtoHHO8eTYDP7gn57Btw/qDtqa3hC+fONluPvX3mDIQSvX5h0jY3h6fK7i8QJj6O3wY21vB7pDPlMOWqHtXH/nD6qGXpCT5kHsckZyigYwvRIxMAiMASz/OZwRg2pUMszP7jmMa//qZ4adNqthfPUw8h6a9a7kfO9MEBgYY8XOVk51fquMZtYHorWoVjfCAalqg1t6zkwiCwF6nQ5IouUQ7kbrqBENMXMPM1o98soUfvNr/4HfePAX+PwPXoasqAj5RDDoexyJAjAVzxVHfRkDJEEPXczIGoa6QlWfS2AMQ91B9BhMx08QTtBqbYid5e30i0XbLaBx/XMzODEYbeU5S8+JBH3o7fBBVjlkVV8fduPW1Zb6XvXCOeMZGafm00ibdG4BYHIxgz/97pF8m5SFT2T4g7evx9d//wq8+fxeQ9d4+JkJSAJbos2SwPDwMxNLjmOMoSvkw9q+DvR2+k0PjJX2iQFU9gBB4Y6eoXz698atq/HU+FxDe3H4RIa0rO8pwRjAub6AMpVTsO2BEYT94pL4YjMJJsxSPt2uahzzKRnxrIKNA2HDC+6dSH9rZPFtI8k4zOCXBCSzCjKqCg49+5DA9M+dplnPuNxxe2G9lfvfcvUwPrvnME7Pp6FoGiRBD8Nd0emvGkZTWp8KayvBGQYi+kimlRFrO+poPQ0xc4/tWwZxH1B336SRl6dw96NHIAoMXUEJ0/EssooKvyQiHJCgahwCY5Dzo8YM+RFUDoQDeqjRTVeurVhenyhgZVewKRpBELWwuw2ppVV26Kid5f3otg3YMXIMiqZBYLqDpnH9czNU0pS3Dfdh1/5x3P3oEUvPauU5S89RVA2zyRxEgWF1TxCSKGDPodO4bE2P6XdeLZxzYi6JqVgGyaz5tWey+v+z9+Zhcl3lue9v7V1j19Bza2hJ1oxsyxYYW8FgjDwcgmOCwXESm+Qk4RAgOU5sw4WLyTGECwnYJ4RgiLnYyTkkIQETlBCTBMO5thACYsWDjLBsC0tqyZJa6rm75mEP6/6xq6qrqmvuXV3VrXr9+Gm7u2rvVbvW961vfD+Tf3z2DH9/8DSpTBJi98Ze/vCGbQz3lA9ulcL5cIJgEdOjx6kUVDL4PQ56u1w4FzFzstgmLoeOk9YGKMXms/fQ6KKzRNtXBTk5FSWSaT5XhEAa4HQo9GRqiiXgUhVCCa2pgxmLBXMykkIRlrOWjaa0qna9FkOrVmNssRj0u5mNpUGAyHppmd83G0v1GS9ktJrKeDH3l2Dty0xGXgJTsTSrg56C12Wdr8L9lEAAq7vnCTsaiVgvxR6t9x7VnD7dMPnSD46jZqKzAG6HgmaYzMbTuB0Ko6Ekad1y0FYF3KQ0Hc20gjPDPb6yPRE+t4PBTv9ZB20CO+Wzkq4CbNGjdq4323e2WHbH7LryndHFftZGPmf+ew6dnsWhClYFPAQzdlyj9lopboFYWmcw4GnIQXv+9CwPPnmc0zNWwK/f7+IPrtvKtdsGGuoNWxP0Mh1LFZSHZisZ/G4HPV0uWwJipZzVUug4aW2AZjXbZiMhq7sdeJ0qxyejKIpVFpN1jAB6ulw8fs+1tnyWcigWzGxk3ZUXiWhl7XotGTo7snjVon9SWk6rS4hc9tOQsuG5IPWinQZ1rkS0urG+0fs/fGCEbq+TNd3zUcl4WmcykiKhGWWJOLL7KWtoqIpASrmoiHX+NXPR5QP2Omt2yYFmmIyFkpwLFUZn+3wuxkNJUprJmdkEeqZO6ldeN8yd12+t6dp9PlenvLGDtoNdslNJVwG26VE7z7y7btzekFNWCeXIxOr9rI18zux7rnlgHz1F/VaN2mv5GTqPQyGaNkjrJr/+5tKVAuUwE0vzlR+e4ImXrTYZRcCvXLGO337jRXUPjM7H7Vet58F9x0hoBh6nVWpuSviD67YwVBSQXAxKOaul0KmPaAM0q9m2uP9CShjOo5626z61oLjOWhUCU8JAXoaonWvX7UAtDbPRtJEpJxAYUuJQrfKCepuPO2hPtLqxvtH7l3ufSxU19U/Y3U/aTlTf5aAZJufnkmiGyZqgl6Rm5v7mcznwuVVMQDclioD3vmlTTQ6aqnT6zzpY+aikq1qtR5cSrSQTy8LO3r3sWTDgczMTS9PrdXH39duqsidmYZiSx356jt/56jM5B+2SNUEe/s3X8/t7tizKQQPYvbmPu6/fRr/PTTSls7bby5++cyc3Xrp6UdctRr5NXAmdTFoboJlT4/OjJ1n66XxMx1LEUgbXPLCvqf0xxen2TQM+JqMpHOriI+vLBbVkMbJ7YfOgP/e+eFpnKGBfBKeD1qGZst7M+5d737ZVQT5w7eaaymgaieSWyzy3OiNZDVkHTTctx6w4OjsVTRNKWkbPUMDNZ2+9jE0DvqrXdTms/rPF9EJ00EG7oFJlSTVd1Uo9upTIJxMDi1DINOWSkIllYXev4es29HL/bZfXXSH0yniEv3jiGD8fsxjKgx4H73vzZm66bLVFjGcTrn3NIO943dpFO3yVkG8Tn5iMlfVQO05aG2CpCBuK7zMdSzERSTPody1Jf0yxkZZV0HY1x7Y7apl/0iHvWNlo9fdb6f6VDKZK72tWiWylXgy7Zkk2A2ndKnHMOmiQic6yjW88fZrjk9FcZnzrkJ/PvGtnQUVBOfjdDgYDbltn8HTQQatQrdeqmq5cbudko0QnLodCIm1gynkCOOTSkIllYVfvnmFaszLrZW6MpnS++pNTPPbT0RyD5tsuXc37r91ka0WB16XS2+XC46yPkbNR5J2dZTdux0lrAywVYUPxfWIpg0G/i8FMlmapo9F2N8e2GtWUcC1ZjA55x8pGq7/fcveHyo34rVh3pWyZHRnJZrBslnLQsnjthh6+/9IYsVHLQPmFTX184u2X4K1C0S2EoK/LRXdX9SbzDjpYLqiWDa+mc5bTObkY+2bbUIBT01HCifmetKDPycZ+f8X32bVuu3RktofZKJ5TUAFSSn7w80m+vP8EM7E0ABv7u7jnxm1cvq6noXWUgsep0udbOuesHoilIiRoBq688kr57LPP2na9VlNjLzVKNYNKKQklNH700euXdC3ZUsx8oytb5veN979hSdfSCPKVcH5kLztK4cxsHL9LZTqWJuh1FrzGjllvHSzAotINduuWVqFWnWaH/NmtPyvpp0/fsrOkvNUqS+XkdTGymNINxkLJkkZIKKHxiceO8MKo1Ufyy7vWcNf121CrsDI6FIWhoLstjYcLFB29YhPqtT+Wyj5rxn0Wo1+boatqgV33lVIyE0sTyox7qhVnZuJ88cljPHd6DgCPQ+G33riR264YxmFTubdTVej3u5pa1lgjyuqVTmF7BsuhEd1utNPgyeXeCFxqQGNaN3ho/4ncntJMWTDywK5h3B10UAr16LTFyl8z9Gcl/bRYIpJqA1XrRVIr76CNziX4w288n3PQ3v/mTdxzQ3UHzeNUWdvj6ThoHaxI1GN/LJV91qz7LEa/2k26VCvs0JEp3eDsbKIuBy2lGXz1Jyf53b97NuegvWlrP199z1XcftV6Wxw0h6IwEHCzrtfbDg5aRbT36pYQ7d6I3gy0uj8mH60mVFgsSvXIRJI6umkW7ClYmpEHHXRQj05brPw1Q39W00+L6YWzs6ct66CZJapSXjoX5r5/OcJcQsOpCj520w72vKb6moNeJ/0+V6f/rIMVi3rsj6Wyz5p1n8Xq11aMxlmsjpyLp5mNa3WRgzx9coYv7jvGuTmL4G5V0M1d12/j6i39tS+8AlRF0O110l2UwW1ndDJpGSz3TE4jaFWEphSKKfrLUXm3K0pFBVO6ibso6rPS91QH7YN6dNpi5a8Z+rOZ+smuKoJEuryDduDYJB/61mHmEhpBj4M//9VdVR00IQQDATcD/g5BSAcrG/XI91LZZ826z3K0bxrVkZphcm4uwUwsXbODNhlJ8cl/fZF7//kFzs0lcSiCd+9ez1d/5ypbHDRVEfT5XKzv7aKna3kFvzqZtAyWMpPTTr1v7TK82E5iguLne/XmvlxfWLOed6mooKqIBc3+rcwOttO+66D5qEenLVb+/C6V45NRDFPiUhUG/G4cqsjdq9G91wz9tP/oBHPxNKem4zhVwaqAG4eq1GQ05X+Otd1ebr1imN2bCtmTpZTsPTTKV/afQALDPV4+e+vOqnLf6T/r4EJDNfnOyttkJMVUNMWqgIdgJrvTjLN0fW/XQpIOr2PRJB3NJF5q1rneSKVVOKkxE02XDFqVgmFK/vn5Uf7mJ6dyDuGudd3cfeM2NvaXHkny9MgMjz5zhvPhBGuCXm6/an3ZGWvZzFnQ48yNMFhuaBpxiBBiPfB3wGrABB6RUj4ohOgDvglsBE4BvyalnM2852PAewEDuEtK+f1K97CzCXepmjOXugn0QjPMi59v/piBAb+7qc+71EiBvYdGl7zht9zaWtF83EJc8A3+S6nTPrL3MLNxjew5aEro6XLyudt2Adi+jkb1Wv4z0Q2T8XAKzTTZNujn3psurmowZt/rUhWiKR3dlAWDWA1T8tAPjvMvPz0HWENW//SdO6syM3qcKquCnqp9ah20HCtWr7SbrVAsq6OZErjhHk8uqGK3LvviE6/w4L7jKAIUYekxU8Ld12/lrhu323Yfu9BsHV9s05TbE7phMhVNVx3MnI8Xz4X4whPHODEZA6C3y8nvvWULN148VDbT9fTIDA/uO4ZDEXicCknNXKCDYVk6Z2UX2UwnbQ2wRkp5SAgRAJ4D3gn8DjAjpbxfCHEv0Cul/KgQ4hLgG8BuYC3wBLBdSll2oIJ/3WvkL3/ib2tSJrUooFo3ZL3Iv3c4odHlUnO092Afi2GpDFK7OAlLhWIWpZHJaC4ilh0QXep5N+uAKuW4NTurVwrLnT2zFuiGSVwzkBK6vc4Va0xlUY9OOzYRIa2bOFXB9swA6loi2LXs0+zeiiQ0pmJpTGkZOGu7Pfz43htq3nu13nMxhsli5CD7XrdDtSj2pRXN7/e5+fyv7yKhGfzJv73MUyPTAFy7fYCPvW0H7iqZsaXsP2s3Q3wZYkXqlWygJdtH7VAUAh4Hf3bbrpbtjzseOcjJqSiRpJXVUoXAME0UReGKDb1N2bvF93Sp1nPYNOAvqR+qyVOlv+8/OsH9j7/MyWmrlHLzgI+Pvm1HXZ+pHc71SFJjuo7sWSih8Vc/GuG7L4wBlkD98q61vPeajQQ8lYNZH/rmYaZjqYKS1HwdrCqCHq+LgMexXJyzLMoutmnljlLK88D5zH9HhBAvA8PALcCezMv+FtgPfDTz+0ellCngpBDiOJbD9lTZxSuipnkTtc6oaFZpTf69z4cSJDQDt0PNpe3tqHku9Rkf2n+CPp+Tbm9r5qC1AsXNrmnDRBHWzyyKn3czZ7S1yyy4Zg7/baXhpxsmsZRBNK2TypRL+N0O8K7smVL16DSwMlndXsupqbbvvvjEKzy0/wSGKXE7FHTDrPj6M7NxVAGzCQ2noiAEmFJyPpxk/9GJmvZePbKxmOb+xcjBmdk4Abcj56ABeJwKY2Gr/+KPvv0Cr4xHAfj1K9fxvms3o1RwvIQQDPhdVQ0Tu7ASZlF20Bw88L2jzMY1VEXgUBWkhNm4xgPfO9qyvfHKeJhwUkdBoAqBbkoMEygxg9AunJmNM+B3FwTRpZQl9UM1ear0d4AP7z3MXF71wbGJKB/Ze7gux7iZ53o16IbJdCxNLFVb9kxKyfdeHOeRAyM5tsetQ34+eOM2Ll4TrOka58MJgp5Ct8XjVBgPJ+j3uQl6Hcuq36wWLElPmhBiI/A64D+BVRkHDinleSFEdjcOAwfz3nY287uKqOWAbiVzY/G9PQ6VtGEyFU3ZWltd6jMapiQU1xjwzyuclU5cUdyH41KVXEQsi4Rm4HOp3PHIwYLsZrOdWTv3Yb0RPL/LyjjY3XO51IaflJKEZpBIGyQ0g7TevAO7nVHPXqrntfuPTvDQ/hOYUuJQBLohmY6l6fe5yu7T9b1dPH9mFgWRi14KwClEbvB0ueh0I2tcjGFSrB/CCY3xSBIprah0JTkKxdOkNJ3eLnfu70nNpMfr4s6vH2I8nEIR8IfXb+WW11Y+upyq1X/mdixd/9mFyGDcQW0YmYplSvwy8itACsnIVKxla9IMKxKiKALDlBiZETaKYIHDY1eQsJ4+3mryVOnvYOkew5QYWM9bVQSRZH3yWG69+fZNMwKn0ZTOdLT2wdQnp2J84YlXcmNIfC6V97xpE7e8dm1dJd5rgt6CTJoQgrRuclG/r2pJ+XJFVXZHIcSmWn5X4f1+4J+Ae6SU4UovLfG7BTtACPF+IcSzQohn01FrhkK1A7qVzI3F9x4MuEFazH92svyU+oxuh0LKKDRilxOtfSMoZlEKeh2YEgIeR+55hxIa07F0bhZKLK0zHUsTzpvl0c7MUdnSlOdPzzIWSvD86Vk+svdwbpZLqVkv05lhkvnsUqGExlw8zTUP7OOORw42NAvG7nlTpaAZJqG4xvlQglPTccZCSUIJzXYHLV+3TE5O2nptu1HPXqrntQ8fGEE3TVRFIITldClYxkO5fZqVuew/mmE5z5rQzK4sAAAgAElEQVQpOXR6ltVBF5PRdEFWezKa5uq8HoJ61liOdczvdnDHIwcr7ud8/RBOpBmdS6AbktVB94KZSPlyFHA7cDsUpmMas/EUEitYEEvrnJqJMR5O4XEq/Mk7d1Z10LwulbU93iV10ODCZDBuBywnvdJOcDkUkFZWXs/LnuWfM/c//rKtc81qYWHcf3SCOx45yNOnZhgLJcvaDZXk7dhEhLRhOZ0IkBJ0Q6IZZl3yWGq9xfbNYp5J9rNmdeq+l8eZCCeZCJeeCVmMhGbwyIER3v+153IO2vU7hvib91zFrVcM192De/tV69FNSVK3iNk0w8CU8Htv2VL3Z1suqIWC/59K/G5vLRcXQjgz7/8HKeU/Z349nulXy/atZXfOWWB93tvXAeeKrymlfERKeaWU8kqXvweo7ni0cmhz8b0DHicDARddLtVWWulSnzHgceBQlGVF+1ovipUIUEDru7Hfz93Xb2XTgD/3vAf9boJeZ86x8GSMpaloKnfdZjFH2bEPs6UpEqzSFOZLU6C04xT0Ohn0u3PPxakIBJbBvBhFfmY2jm6YjExGOToWZmQyil7nQVMKad1kLp7m7GycMzNxpmMpEmmjrpkr9SJftwwODjbtPnagnr1Uz2vPzMZxZ8qdshDCCiqV26d7dgyxfciPkolqGqYVFVaFFXn77pFxuj0OXKqCKa3s9lDAxVMjMzn5nYykOD4ZLTB4yq2xlGESTmhMRlMlDZN8HfHwgRFuu2KYoYCHsXAKhyJY1+sl6HUtCDBk5cjtUDFMSZ/PTV+Xk3jaJJLUEQhCcZ2kZtLnc/GFX38tb9hcmS66p8vFmm5vSwhCWnkOXshYDnplU3+XRZJhSqSUmKbElNbvW4VtQwEGAi4cisCUlh5yKAKPwzJbvU6VkxmGVruChKXGAtx2xTAPHxjhmgf2cdMXDvDhvYet3lRVkDZMzoUSOb2VL0+V5C2tm4VZiTzCpXrksdR6i+0bw5RMhJN84O+fqysYWxzsHQsnuO9fjrDv5dre/5PjU7znq8/w6DNnMEzJul4vf3bb5dx388X0+93VL1ACb9w6wH2/dDFru71EUzqrgt4VzbEAFcodhRA7gEuBbiHErXl/CgKe0u8qeL8A/hfwspTy83l/+g7w28D9mZ+P5f3+60KIz2MRh2wDnq52n1ocj1YObS51b6eq8sXbL7d1Y5W6j8uhcueeDTw1MmM7GcpSoVrjbclSu3dcuqBp9q68/77mgX0F5VKDATejs4lcdrNZ+8OufVitNKVcOVgooeWGaN/xyEE0Uy669CngdnBsImoZ5YrVNzA6l2TbUP2UxSndIJYyiKV0NOPCLGOsFfXspXpeu763C8M0mY5qmEiEAENKVEVU3KcffduO3IFumhIhBFLC6m4PZ2cTJDWDLUOB3OullBybiOTkd3XQzehcktG5BCArUuKXorN2KqLkfr7/8ZeJa2aBjth7aJRPveNS7nvsCD1FQ02LI+F+t4pumERTOrPxdG5fXj3czxMZY2VjfxefufUyVgfLH4tKZv6Z3926qTetPAc7aG/ce9PFfHjvYaIpHcO05L3H7eTemy5u2Zqy+3V1t4Pzcwm0TOZmIGPgZx2gZsxnLGdjHJ+IopsSn8vBUNDDubkkEslUNIVDFQXyVEne/q9v/dQ6tyUFATFFULc8FnMp5Ns3kaSWGQxtZe3qaUfID/bqpolTVdANyaPPnClLeQ8wFkrypX3HcwRKTlXwG7+wgduv2mBlRxuAQ1Ho7nIS9DjY0N/FzbvWAvP24X2PHVmxREiVTozXAG8HeoBfzvt9BHhfDdd+E/BfgReEED/N/O6PsJyzfxRCvBc4DfwqgJTyRSHEPwIvATpwZyVmR7DojocCnqpfTDNnVFTDUt270n3uqvru9kS1fqdGeyyK67it7KblIIQSWku+IztRS129XQ3HucxW9qCRRb+vgrRuEkvpRDuOWV2oZy/V89qsYdHvh1BcI2VYTG937tlSk479wN8/hyklblVhMOAm4HHidqRI6gsjymndpNs7L79CCMZCScbCqarsbZUMkyy8TpVjE1HW9XpL6ohqcrI66GE8U9YzEUkiEFb5FeQctCs29PDJd1xa0flyqgqrgp6GDRS70MpzsIP2xp4dQ3zutl1ttTfy92sooRFJ6vR2OQl4HLng/OYBX1N6rbMotjEMKVGEVXWzedDP2h6YCCdJ6uYCW7SSvG1fFeTkVJTZWJp0pvfOqQo2D/hsqarK6rXJSAohAClyn6MekqVujwPNMDEzDnKWKKkUNMPkW8+e5WsHXyWVaUW48qJe7r5hG8O93oY+S5ZKv7somAYXDhFS2ZNFSvkY8JgQ4mopZVmGxQrv/zHlaSVvKPOePwX+tNZ7vGZ1oGaa0WYwN9aKpbp3Kz9jM1DKCZuMJLnr0ecJep1MRlKsDhamzWtxNJYqu1kKdnxHm/q7OD4ZQ5gyF40zJWwdsA6mWiLmdg1vj6YNhns8TGV6jlyqwmq/m1i6fHxFM+YdswuV+MMO1LOXan1tgWGh1Ges7dkxxBUbehfsq4DHgR6XC/ZjlkJ//nVO/G4HoYRWN310uf0M5SPtn75lZ1k5mY6muO2KdTy47xjTsRQCKxZtyPl4RF+Xi8/eehlOtdD5yh+2uq6nizuv28L6vvYoKVxpZ0QH9qHa3mgFi29xVqvY4QGamh0uDma6VAXNMHNs0QGPE1URZSnvyz3T7Bm9rq+rYN12ZC7zz/+UbqAIgYQcgVytwdi13V7GwolcOwhYREmrgwsdrp+emePBJ47x6ox13X6/izv3bOUt2wcaYltUhCDoddLjLT/n7EIhQqql9mJaCPEkFivjTiHE5cA7pJR/0uS1dXCBo1hBhjMNsaaUbOjrYiqSygy4FBWZMksdLp96x6UVo4btPE+oWmlKLRFzu0qfssZxdgYdzM9pyYdhSqIpnVhKJ6lVTJB30GIsxpCvp+z64QMjdTEtZlFKNsvt50qR9nJysnNdN6GExu7NfdzNNj7+nSMYGdb9nIPmc+JUKOmgZYet9na5mEuk+eS/voQiRNvojw46qBftkLUop5eamR0uDv4MBtycnU3gUMWiWiNK6Z6rN/fZUrpXeO0EQsCqgKcmNvH9Ryf4yg9P8OpMHK9DIZLUkW4KBkffftU8dcRMLM1XfngiV1mgCHjX64b5nTduxNdAabcQgoDHQW+Xq2rfbivHDywlqg6zFkL8EPgI8LCU8nWZ3x2RUu5cgvVVRLsOhmwW2tlxaAaqDaaOJLWcwtw66C851LaRwbftONizGHYMXrfrGuWe75u3DxJLW45ZokJmzW743Q6Ggp4VOXR2sWimDsle+5XxMJohcTkUtg0FahpKrRtmJuACwz2eXE9asZxW2m+w0FgD6pL/yUiKSFIr+N3vfe05jk9GyZKZrQ64cTqU3ADVfHzom4eZiacIuOcjwCttaPwFjgtSr7TD0ORiLIU9VErfhBMa/T4XsbRhm1PYiJ1i93X3H53gvseOoAiLGTypWb24vV0u4mmd1UEvt1+1nt2b+zh4Ypov7z/B6FwiF7i6ZE2Ae27cztYG+tGzzlmP14lDra0svB335CKwqGHWXVLKp4tSlrVNr+vANrRDJGupURwdT2UYkQYDVoljwONkuEcyFk6V7SVrJCXejoM9i9FItqPUobZYZVYcERzu8fJbV1/EjjVBTs/Em8rGeCFiMYZJM3VI/rXXdHsLIsyV+sqye+fQ6VkcimB1tyc33LmUnFaS52+8/w0NR9qllExGUkSLBrMeHJnm1HQ8xy63ttuDkhmsmx9RzmIsnKDf5yoo0VmJ0d0OLiy0W9ZiqeyhUhmvj998ie12QLNK92rtQzVNyV/+4DgCcuWN2TLxoMfJX//2lbnXfvvQKF85cGJ+jp2wStp/8xcuqttBUzLOWXcdzlkWzSRCaqeESC1O2pQQYguZSg8hxG3A+aauqoMFuFDqb/NRrGC6XCo+t5oz4sCioL9iQ29ZZ6ORw6UdB3suFs081K7e2s9rN/QQSxukMqWM8XQnjmM3FvsdNlOHNHrtbLAhS/xRjmkxi0bkuVpAQ0rJeDi1YM9+5/A5vvjkMUwJPV1OVgc8zCXSDAY9uYhyPgIeJxv7fUxGU3S55g2ODs19B8sddvUw24WltIeWoo+zmU5wtfXH0zpTkTRnZuMEPYUuQT5RSDSl89WfnOLbz4/m/h70OBjwu9EMk3989ixv2FJ5BEkWqiIIepwEvc6Gx5E0iwip3RIitThpdwKPADuEEKPASeA3m7qqDhZ48q+Mh1nTXdiweSFEaIsbh+uNnLTb4dIq2H2oJTWLKj+eNjqsjEuExX6HzTQEFnvtWuXUbnk2TMlYOJkLLoA1PPevDozwzWfPArB9lZ/PvOsy+nyuktfIp9f/vbds4SN7DzM6mygolf74zZc0tL4OOmgHtNv4hsXqm3bKlEBr7BTDlEzHUkSTVnBqTdDLdCxVQLSU1ExWBTzsOzrB/7v/BNOxNAAu1SJL6XJZr1WV8qyP+ciyNQY95QlB6kEzHOh2S4hUzS9KKUeklDcCg8AOKeU1UspTTV/ZBYziIYITkSTRlFEwbBla62wUD5FuZJp9vdizY+Hgxmo126UG31Y7XNpxsOdicWY2vqh5MlJKEmmDyUiK09Nxzs0lCCW0joO2hFjsd9jMYcaLvXatctqIPJeDZpicm0sUOGgpzeDT//ZyzkG7enM/f/Hrry3roDlVhbU93gIKfqvkxOqzyLD2A63RmR10YAcaOXubicXom1L2VXbwfatgp16rBdGUztnZeM5BA7j9qvXopkWGIrF+hhIar0xE+JN/f5npWDpTzu5hKODOOWhQnvUxCyEEPV0u1vd20dPlssVBaxYWe87ajaqZNCHEh4r+HyAEPCel/GnJNy1TtEt0pZQn3+dzMhPT8LkdLY9ktTIdXEvkpPh7vO2K4boGerd6sGcz9mEjkTrDtA6LRNognjYwl0l/2Xg4yVCFwcLLFbV8h5X2ztWb+3ho/wl008StWsNBnapqiw6pJ9Jebo21lK7YVeKS0g3GQyl0cz7IEIpr3PfYEV48Fwbglteu5Q+u21q2HMfvtkp98g2Ohw+M0O11FlQ9xNM6D3zvKLG00TYlNB10UC/aaXzDYjJ7Dx8YQTMMpqN6jogs6HU0PVNSSTc3q3SvGLphMhVNl2xHyLLZPvrMGc6H4qR0STjPifM6FQIeJ2+7ZBXfe2mchGaUZX3MH0OyvreL33/LFm64ZJWtn6VZaLfqq1rYHb8OXAn8a+ZXNwPPADuAb0kp/2dTV1gBdjIlNYtdp577ZwU4O/8r6J2P3kppleVsGwq0fNhkO7Pq2PU92sF82AhazfKU1k3iab2gv6ydYZiSU9MxjoyGeGE0zJHREBORFKfuv3nFsbBV+w6rMR9+4jsvktYNIkmdlG6iKoI792zhrhu327a+ajLTaj0LVqludkh1Ft/92Xm++IPjubl9N+9czYfeur3kjB8hBH0+F91F5VZAyd46KeWCodrQPjqzg7qw4vTKckU9Z3S+fTUeSmJKiUNV5ueMmpLuLifP3vdfmrbWVuu9cFJjJpquGmx95tQMDz55jHMZtl2HIhjKlHMnNIN+n5vbr1rPo8+cYSycKGB9hPkxJC6Hgt+lktTNJf+si0GLvqtFsTv2A1dIKaMAQog/BvYC1wLPAS1z0uxEK+tQizNTU1Fr/pdFSzo/22LbUO3Du5uJZvW22JFBsut7bFXUsBUsT0nNypTFUnrbly8mNYOjYxGOjIY4MhrixfNhYqn2dybrQTk5qBZtrbR3AJyqoNvrYTBg3See1nlqZIa7bFp3LTLT6nr/eFpnIpwqMFT+8ZkzPPyjEaS0Tso+n4tDZ+Z45uTsAnIQp6owGHDjKSqHyaKRododdHChwM4qkVrP6GL76txcAlOCKq1+UiHAFDIXoGkGWqn3NMNkMpKqOp90MpLiy/tP8MNXJnO/6+1yWmy1maBTlkhk9+a+Bboxi289dxavU8HntmzELpeyrEjuliqrWStqcdI2AOm8/9eAi6SUCSFEqsx7lh1aSTFbLMCrAh5G5xKMhZK56EWpVH6xwrt6cx9Pjcw0vVyz0XRwJQVtVwllrd9ju5S2Fq8lm0XNh90sT9khnPG0wenpeEHJV7thJpbmyLlQxikLc2wiWpAByaLf52LncDc7h4NctbH04bEcUE4Objs7VyDbn75l54L9WmnvS2i6fqtFH9Uin3bKZv611nR7+JUr1rF70/z+2P9z6+8SUAWs7fHmoqePPnOmwBDxuR0MFpU3FqNcGdam/q6yQ7U76GCloZQMA7a2SdSqJ4rtqyw0w0QR1ogdsMgwmoUzs3FUUTjrdcDvskX/VnoOobjGTDxdcRSOYUq+/fwoX/3JqVxAade6blKaSSyt5xw0KOw9yy9pXBP08ttvvIibL1/LeKbXLx/LLSDVTqW9tThpXwcOCiEey/z/LwPfEEL4gJeatrIlRivrUIsNF2syfOX5X8XG3KnpKE+fmmHQ72LA725qz0Mj9eDVnDC7Ik219u20C8XqgixqJJUZ6isy+wCmYyliKYNrHtjXsNGqGSbxtEEibViNwW3WX/b0yAzfePo0Z+fidLkcDAU8jIWTjM6VZoy6qL+Ly4a72TnczWXDQVYHPbkSs3wSh+WGUnIwFU3y0P4TrOv1Vtyv1fZ+M/VbrfrI71IrOit2ymb+tfxulbFQkgefPMbd12/jqk29fPOZMzzyo5OAlWUc7vbiclhcWh6nwqvTUT70zcOcDyfY0NvFnddtZVWVNZSLwgJNYcdrp2BTBx0AfPGJV3ho/wkMU+J2KOiGySe+8yI+l2pbNqkePVFsX3mdKknNwJRgSIlLtXqtNg3UP4S5VvhdKscnY6hCoAqBbkhG55JsHfTV9P5ycl7uOXzCNLlkbXfV7NmL50J84YljnJi0xgv1eJ383p4t/JeLh3jm5CwP7jtWsvcsW9LoyLA1hpJp/uKJY/RmyEHaqadruaOiNSMsq+dvgO8C12BVg/yelDJbVP0bTV3dEqKVFLOlNnWp+V/5ghpOaPjcKt1eiyAhnNBRBESSOoMBT9PnhtSbDq7mhNmVyazleyxnCN/16PMEvc4lNXaK17K628PZ2QTjkSQBj4PpWIqJSJpBv6tuozVbxhhP600t5WgUad3klfEIj78wxr6fT6AZJqaE6ZjGmdl558ypCnasDliZsrXdXLo2mHNgVxpKyUEormGYsqpxU23vl/ubnWXGhik5ORUjnjaQwFxcK9BHQohMwKD0Gu0sC8pey6UqGKbM3e8bT5/mP0am+c7hcwD4XCrdXmfOQQOYjaWJpg1m4in6fS5m4uma5a5cFNbuEpp2CjZ10AFYe/Kh/Sesni/FckamY2n6fS7Gw0m2FQ07bjTDUo+eKLavBvxuRucSuFXB1iF/VVvPDv2Y61EVzHcfSUr2vJa6f7Gcf2TvYfp9Lk5OxxFYdoMQ1vOIJDX+8gcn+Pyv7Sp7zXBC469+dJJ/f+F8bllv37WG371mU67FJp9IpLj37EPfPIxTFQTcFpW+26Hmnn+7jWtY7qjopEkppRDiX6SUr8fqP1uxaGUdai2bulhQx0JJEmkDt8Ma7pw2TBQB6byeIrtSzJV6ZGpFNSesXPTF73ZwxyMHa1aQtXyPxWuJJDUmwikMad1zKpriw3sP87nbdi3JEMviMojeLgfhpEV/G0sZDPpdDAYsZ7zcYZT9jk7PxFjT7eXXrlzHlW1W9hdOaLx4LpwrXzw6FkEzFmb0FAEuh0Jfl4t7b9rB9lWBAgN6JaOUHKQME4+jdD9TsWy+fkM3Tx6dJJY28LlUfveaTbl9UinDY0eZsSrgfChFvt2R1E0iSY2Ax4nXqRJKaHz6lp1l5bPRYE32ORybiJDWTZyqIJLUGQq4UfMW5FIFR8cjHB4NAXDdawa5/jVDfPmHJwoixqGkTm+XNc/HMn4W11fRjIxXq/v7OuigGA8fGEE3TZyqgsDq98K0gsdA1ZLfWuWkHj1RbF85VEFPl5NBv7tspVL+eor144f3HmbQ7yaS0ku2bZRafySlM9zjYSqazp3zq4NuoqmFLIulnmm+nBumZDauEUnpmFIigHNzSdZ0S7wuB05VMBYqXYEipeT7L47z8IERQgkNgK1Dfj544zYuXhNc8PpSvWdOVWEimsSpCE5Nx3Kfp8ulcHY2wX2PHSHgdiClrPp8O6iOWuqCDgohrpJSPtP01bQYrapDrcWxKBZUt0MhnWkIDXicuFQlJyxZ2JFititaWy0FXspRDSc0JJbjWc+9q32PxWsZCyUxMqQBqhBI08oA3P/4yw0xQtZjiJUqg5iN62wd9PG9D74lxxaXj+LD6MmXxvnj77yIqkCXS2U8nOQvnrDKuso19zYbUkrOh5IcORfOMC+GeHW6tKGtKoIul0qXU8XrtEpiyGSFdw53L/HKW4tScpAdiJyPbAAjXzZPTkV5+lSaoYCLDX1WD9TeQ6Ncvq4nJxPF+/GORw7aVmb8/OlZhKCghwHg9EycDX1dqIpgXW9XRflspFQmq6M0wyAU10BAPC1BwvlQklVBD363A90wOTOXyAUG3r17Pf/tmk0oQuBUlYKIcSylM+h3F0S6Gw16NSvj1co+6g46KIUzs3HcqmKdp9nkkYCUbrJ10EdcK59Fr0dO6tETpeyrj998SU2yV2x36YZkLq4RTepsHfIXrBEWBryyDt1kxAperQp4clUgWXbXWp5pvpxPRlIownLWXKqCbkgkkolIivW9atmZZSenYnzhiWO8kAlQdblU/tubNnLLa4fLjhnJh0OxxrYEPQ66PU6OTURRFYGqCFK6QSxt4Mp89ux3W6p3uoP6UIuTdh3wASHEq0AMy5aVUsrLm7qyCwzVHItiQR3wuzkXSpDUrf6ioNfBRCRNwOPIEUPYkWK2K1pbLVtYSpE6FYFWQ5lXvSheSzJTCuhQBCLD9iRNyckyTkUpNGqIVSuDKHcYre3xMhdPE0sbfGnfcYQAdybbUo74oJkwTMnxiWgmS2Y5ZtOx9ILXqYpg25A/10926dogf/JvLzMdSxWw3yU0o+JwzJWKUnJwy6617D00ukB2nIoskM1I0ip5Did0Bvy1lTzbWWb83r97xgo0mJL8/Kgp4exsgt4uJx+/+ZKq16m3VCaro6ajOooiEJl7olj7ciqWwqEKRmeTGFKiCLjnxu28/fI1uWvkR4x7ulzc+Q+HMnK3+KBXszJend6PDtoN63u7MEyT6aiGiUQIq+9LVURuzmgj7LTFclKvnmg0AF+sH6eiGQdJylx5YTGDbimHbnXQzehctsfaov+v1T4rlvO0YSIAl6rQ73NxLpRAAGndsvuKZ5YlNIOvPfUq33rubI5067rXDPL7e7Yw4HeXuGMhFGFlHoMeZ440KdfTnvmRLeCy2DJFJ6tvI2px0m5q+io6qIpiQQ16naR0q+colNDY2O/njqv66hraXAvsYkusJVtYrEhrySI1guK1CAEKVh9go2jUEKtWBpF/GLkdCvG0QVo3eddrh5nJOEHnwwmCRZmWLFVusxBL6bx0PsyLo2FeOBfi5fNhktrCvjefS+XStcEM82I3O1YHFtCX337V+rINyhciShkUl6/rWSA79z12pEA+Gil5tsvQ37NjiG2Dfk7NxElpZi7mIAUgwaEK+n2umvq56i07z+qo7OeXWJlYU0pWBd2MR1KcmUkgscpoP/WOSwsYHrMQQtDvdxH0OMsagVdv7qur/Dp/ffmwQ491ej86aDdk92S/3+qlTRkmDkXhzj1bcnJiR8BoqdpTKjlIxWssZtDNd+iCXhdCCMZCScbCKa7Y0FvzeovlXM309Q4FXHicKkMBD1OxFIokN8MsG3D6yfEpvrTvOBMRi4h9uMfL3TdsrakVwhoB5aC3y7Ug0xZNGwV2C4BTsT5r8XNZSqxEIqWqTpqU8lUAIcQQUD0320FTUOpAdjlU7r/18oJNaNfMoyzsZEusN5q1vreLk1NRIkk958AEPA5bWJjy13LTFw5wbCJq1Xdnh1tK2FYj8xI0TrGbfb6bB+c/U34ZxBu29PPht27nqz85xfnQwsGRAGuC3gWZqHIlD41iMpLKlS0eORdmZDJKCSZ8hgLuTJbMcsw29vuqllJUalDuwEIp2Vl/oFA2Gyl5ttPQv/emi/nEd17k3FwCawkCKWFtj1VumO2BqPWzZg/c+x47wvoD5Q/crAw5FSuLl5Vhp6qQ0MxclHfA7+Kz77qMLUML9YciBKuCHrwuNbeGYiPw6s197D00miurPB9KcOj0bNWB4M3KeLWyj7qDDkqhYE8qC/dkJSO6Xjmxqz2l0poWOEgZMpTBwHwGqhyDbrFDF/A4c3qwnnm3xXJ+UX8XE5nySYmVpez3uQvaG8ZCSb607zhPjUwDVobv3bs3cMfuDTX1d/vclnNW7rXFdku+3VPquSwFViqRUlUnTQjxDuDPgbXABHAR8DJwaXOX1kE+WnUgN8qWaEeq++rNfTx9agZFkMsQTEbTvHt3fcZ7tejKR9+2g4/sPUwkqaNnIn+9XU4++rYdNd8j4HYU1GjrpkWxW8xmVYzi5xtP66QNK4uUnWG2c7ibP6/A1FRrJqp4rkk5R8gwJaemY7myxSPnQoyHF45EVARsHvBz6XDQcszWBhkKNhbHqTQcs4PSKN47AY+DyWiaoLf2kmc79Ur2Wnc9+jyxtI7HYQ1+DnicxNN6XQd2rQfu/qMTzMZSnJyKoQqr7EZRZGb2kWA2bjmGmwd9fPZdlxUYV1k4VYVVQc8Cg6TYCLzjkYNohsF0VEMI632GKXlo/4lc31/+urI6J5DnoNqd8WpVH3UHHZRDuT1ZTaZbkRmutqZi/bixr4tzc4nceBhVEfjdjlwZdz0OXb2QUqKbFjnIO3f18/yZ0IKgpmaYfOvZs3zt4KukMm0cV4/QDaYAACAASURBVG3s5a7rtzHcWz1o63Gq9PlcC6pdimHH2WM3ViqRUi3ljp8G3gA8IaV8nRDiOuCO5i6rg1IoVn77j07UXXrTyD3rZUsEe1LdT43MMBRwEU7MZ9KCXgdPjczUnDGsxdjbs2OIP7tt16IM1eIa7ezPavPI9uwY4pNS8pUfWvceCnq4/cr1XLauu+Yh07VkovLnmgQz1P4PfP8ovV0uoimNoMfF5kEfc/E0L54PE0stnK/icShcvDbIZWu7uXQ4yCVrgviW8Uyy5Y5i2dw04Ofdu2sveS4OXtjR5L1nxxBfvP11OZnLBh7qPbBrOXCzsu1QYHXQzVQsjTStyLKUkMiU3155US9//MuX5PZqfrBiXU8Xd163hfV91Q2nM7NxQnGtgBxFFaCbsuS6nHlN9AJwKqLDdtZB26LZpWLVZLoVgeha9Ey+3bX/6AQf2XuYdFK3znYpcq3k9Tp0tWL/0Qnue+wIigC/W2U6muJ7L40vIAY7fGaOLzx5LEfQ1e9zced1W3jL9sGqVP8uh0Kfz7Vg4Hc5LPbsaQZWKpFSLd+IJqWcFkIoQghFSvkDIcQDTV9ZBxWRVRaRpI5umkxFUnxk72H+rAm08fWyJYI9qe4zs3H6fW4G/PPZGSllXUJXa3RlsRHp4hptl6qw2u8mli49TFI3TOKaQTxlsGnQz/2/clnD94bqmahHnzmDQ7GMZt00iaZ05uIac3GLQXMikub4ZLTgPX0+Fzsz/WSXDXezZdC3qL69DuxHqX1bSwCj0dKQWgw5O4ytWg7chw+MoCpWL6lfUfC7ncRSOqGknuvp/KWdq7nnxm25fZsfrOjrcjGXSPPJf30JRYiq61vf28X5UAJnngxIaTHtFq+rWOcA9PrcfO+DtZc5ddDBUmEpSsVqkemlzgzXa9g/fGCEoNfJ6u75rFSxo1mLQ1crDFNaxGCQG8NSTAw2G0/zlR+O8P+9NA5YFS7vfN0w73njxqpBVIei0OOzSEHqRaNnT72oNXiwUomUanHS5oQQfuAA8A9CiAmgtuaCDpqGB753lNm4hqoIHKqClDAb13jge0dtV3LVhKRZZQp2CN1SRVeq9ZYBpHSDRNqiqk1p885brWWIjUBKyZnZBCNTUTTDJKmZlMvtORRBt9fJ+67dzM61QdZkBmR2YD9a3eBcKXiR/Xvx2uox5BZrbNUi+6/OxPC51FzWWjNMJqMp0hmK/fdes5F3796Q28NPj8zw6X9/ySoLdiioisiVYtZSEvOBazdz6PQshilRs72rSAIeZ8G6VmpEt4OVi6UoFWtHI7reNdUj29UcumpnQDSlMx1NcXYuXpIY7HwozncOn+Ovf3QyF5S6ZE2Ae27czta8NotS9sUbtvTT7XXS0+VsyRlf6/lXz5mzUomUanHSDgNx4IPAbwDdwOKZG1YwlsIAG5mKZXq1LAETAqSQjEzFbL1POSG57ewcT43M5D7jbVcM257qtkPolupgKLXWtG7yO2+8iKloinjKKFm+WKoM8cF9x7ibxmacpXWTYxMRXhgN82KG5KMSYYMiYHXQg9epoigWjftbL1lV933bBU+PzPCt587y3OnZkVP339yW2rnVDc77j05w6PQsppQZghs3Qa81bPrYRKTs2h4+MEJaN5iOFhL5FJf62aH7qsl+KK4x5PfkCHOSmsHonEWxL4A/+qWLueHi+ftm5SypGTgUMKQ1AHZtD/jdjpocqD07hrhzzxYe2n8C3ZS4HYo1o9KhFuikdjRGO+igEpYisNDIeW6XPil3nXrXtL63i1PT0QUtGBv7F5rElZ5ppTPgzdsHmYqmiGUcr1LEYOGETiRp8IUnjgEQ8Dh435s38UuXrSmYU1nKvvjSD44zFHBzfYvO+XrOv3qCByuVSKmmOWlSShMwgb8FEEL8rKmrWsZotQFmN0oJyVQ0yUP7T7Cu15v7jHsPjfKpd1y6qM9YSpF+6h2XLkroliq6klUQX/nhCc7Mxlkd9PJrV65j26oA4QpOUn4ZItQ/4yyS1HjxXNhiXRwNc3QsnBvWmw9FWIyVWRKWTE8xjkydPCz/2WRPj8zwxX3HsgQQM61eTzm0ssE5q5+yFPm6ITkXskY1OFRBWjfp9pZe2yvjYcJJHYX5wevTsTS6ES64th26r9KBOx1NEUpoOcKcmVia6VgaiRWset81mwscNLDkzKUK3A7FIhcRAhPJZCSVG7Kd/4zKGYZ33bi95DiEpags6KCDZmEpAgv1GtH7j07w4b2HiaZ0a95hNMWH9x7mc3W2dFTTS/WsqRSZ2UQkzR1XLTyrKz3TcmfAl/efYNOgLzfPDAqJwZyqYCKSIprXM/6Ll67iA9dupqfLtWAN+faFogiCXiug9Vc/PtkyJ62e86/e4MFKJFIq66QJIX4f+O/AliKnLAD8pNkLW65YKgNsU38XxydjCLOQNn7rgL3R2lJCEoprGDYPmS6bsbtiGKBsiV41NDu6IqUkqZnE0zpbhvx85tb6esvqmXEmpWQsnMyxLr4wGuJUmYHbwz1eiwZ/rdVP9n//02EcisV2pxlmZqYJmcHDctnMJnMoCg5VWP9m/tuZ+flH//wCXpdac/Nzq9DKcrisflrd7eHcXBIECAnjkSRDAU+O7KPU2rLOf3agqRBgmjJXXmi37is+cKWUTESSRJNWhHn35j6uPNHLv/7sPGBRXf/hdVu5edeaBdeaiCTp87kAYTmlJiAkSd0scKBK6aGP7D1Mv89FNG3knLZKFNorNaLbwcrFUgYza5WD+x9/mbm4hiqsoJA0YS6ucf/jL9clS7UQltR6vadGZhj0uxaMBSpFZlbpmRbPuJRS4lQEp2diBQ4aWHruLrmVrxwY4dR0PDf65qL+Lu65cRu71vWUXe/5cIJujxOnQ8ll2Oo5a5pRFVbP+depSqicSfs68DjwWeDevN9HpJRtG6VuNZbKALv3posLokyqIuhxO7n3pottvU8pIUkZZq6JNYvFfsZaM3aNRObtjq5ohkk8bfWXJTUDswqDYyVUmnFmmJITk9FcluzIaIjpzADrfKiKYNuQPzebbOfa7oxBOo+13V1Mx1Ksz1NuM7EUCc0kktTbZjaZEAKnKnCqCg7FcsScjsxPVVSsnz87l1gge+2IVh48Wf0khGBtjzX/LqWbCClyWetya0toERJpo2CeIJIcdX0zdZ9pSsYjSRIZIh7DlDx84ETOQduxOsCfvmsnvUXRZFURDAbcXNTvYyKSJJhZ31Q0RUqX+FyOggqAYj1kmJLZuEYkpbN10F+zDlqJEd0OVi7aMbBwcjpuZazygkLSlJwsE5gsBzv10pnZOAN+N4OB6mRmlZ5p/oxLU0p0QxJPl65kOTsb55+eH+XVGeseHofCb119Ebe9fl1FIi+nqnBRn4/pWAp33rlZ61nTrKqwes6/TlVCBSdNShkCQnTo9uvCUhlge3YM8blF0sbXglJC4lCs6FE+FvsZlypj1yiSmkE8bRBL6WiZ6bh2EH7klzK4VEE4qRNJ6kxFU7z1Lw6UzCD6XCqX5LEu7lgdqDrXpNQsNadD5cNv3dESxyyXBVMVXKrliDlVpYA5r16Ukr12RCsPnvxnFPA4c8QZQwFPTqbKre3hAyML+zF8zlw/RqnnPx1LEUsZXPPAvoYjsbphMhZOks7U6CY1g8989yg/Pj4FwJu29vM/funiBTLgcljzz5yqUvDMAx4HDlWgGXJBiXaxHpqMpFCE5awJISrqoFaTwXTQwWLQrMBCq+XCTpvMroHbH7h2Mx9/7AiGqeFURclKlrRu8vWnT/ONp0/nqhjeuKWfP7h+K6vz5pEW2yF37F7PL+5cTbfXyX/fs6Xhs6ZZVWH1nH/tGDxYarS3NbMMsZQGWC1KdbEKspSQ3LJrLXsPjdr6GZcqY1crDFMST+skNCtjVlyCYAfhx2QkRVzT2dTv4/kzcyS00nT9qoDLhrt5y2sG2TnczcZ+H6pSmZGplAN59/WVZ6nZjWxWzKUquByWA+bI/H8zGKXyZa+d0cqDp5p+yq7t/sdf5tiENZJh84Cv4L2rux0l31t87elYiolImkG/q+FIbEo3GA+lcqQ7s/E0/+PbRzg6FgHg1iuG+f23bFkgD363g8GAO7fPan3mxXoobZgIrFLKLErpoGzUOa0bRJI6Y6Ekh07PcueeLdx14/aaPmsHHaw0LCYbs3nAx7GJKEIWtnRsG/TVtQY7bTK7rrV7cx93Xb+Nf/jP0yXP42dOzfDFJ48zOme1PQwF3Pzh9Vt509aBgusU2yFziTR/+YPjrAp6cvZho2dNccAqnNCYiqY4NR3njkcOLrhOrbZmvWu60KsSRLVhu+2MK6+8Uj777LOtXsYCZDdrdgNevbmvgAlxqQyyfAWZr1AWS/CRvbadRmaptZ6dTdDb5SwoLchG/Sv1hDQCKSUp3SpjjKf1XNS+HD70zcMLyhQTmkG/z83nf33XgtebUnJyKsaR0TAvnrP6ycbDqZLXzkavvE4lM9dMlr1uKeQr7mzWTDflguGXdiDreDkUqzxRVUWuTDFbBreUyO7Lp0amTy6G3bFVumUpos7VZLeS3oDKh2v+tUMJjS6X2rD8JtIG4+Fkrpz49Eycj/3zC5wPJRHAnddt4dYr1i14X7/PTXdXY2WvxZ/9+EQU3ZQM93hzpZKlPsMdjxzk5FSU6VgaBYEQYEiJIgQP/+brL2gjY4VhUdGlVtosrcho3fHIwQXB11p1QPEs2GwFTyOzYO20VxZzLcOUTEdTOcr8YkxFU3z5ByfY/8okYJVr/+rr1/Ffr75oQa8wzNshPrcDh2K1A9hlI+V/d+GEliOYciqCNT3eAluymbbmBYKyeqXjpDUZrdy8i1GQrUAp5/bvDr5a0HfndzvqZncqhaxTltQMkppZd2/ZHX91kKDHQf54SokkktT5+vveQFIz+PlYxOonO2c5ZrHUwkyZx6GwY02QyzL9ZJ/7Pz+3eobKXLcW1OtAVoMiRC4D5lQVnA4llyFr4zlqy86YapeDzg69sf/oBB/4++cwTBO3Q2Uw4CbgcSKlJJTQ+NFHr6/4/nBSYzqaJns+/ezsHB9/7EUiSR23Q+G+my9eEFVWhGBV0IPXVbn0t5a1Z/WQ3+1gMpqiOzOioNx3cs0D+5iNpdENmeuhkUg0w2T3xv621LcdNIRlp1egdbrlmgf25Xpgs6hVB2TX3c6lbvU4vrGUznQ0XXIUj2FKvv38KH/zH6eIZ/puL1/XzT03bmNjf/nM4bv/+iB9XS5UZT4gWs/zrfbZsntmLJTMVBUI1vZ4Csrkv/H+Nyw7W7MNUVavdModm4xmsj1WUxDLbahqcVp7/9EJBK+CtBQPUjR8QmqGSUo3SWmG9VM3WUyAopjwQzdNQgkdRQju/PohXhmPLiiRBAi4HSiKwDBN1nZ7+e2rN3L11v7c34czBB+liERqRT2MkfnIJ+mYL1EUFZuTO7APraDmL6VDGtEb+dcJZBwbkZnjqJsyN5OsmO6+FLIU+1k8+fI4//P7P0czJL1dTv70XTvZsTpY8B6navWf2ZG9LaWHaimTHAslcSj5xii4VaVt9W0HFw5aZYfY1Q/WjqmEWks5q2XPXjoX5gtPHOP4pFVe3uN18oG3bOatl6wqGwR1qgp9Pheb+v2Z5zuv9+ziQMgvSzw1HcetCoaCloMGhWfCcrM1lxM6TlqT0azNW4uCWO70pQ8fGCHodbK6e95BqfVgSWoGKc0koRmk9IU9ZYuBlJIbdgzx1z8ZYSaWJm2YBbPJJqPzZYwX9XdlaPCDGIbka//5Kk5VweNUSGgGf7n/OKoicmWIpQg+6qXGr8QYmd8nlp8VcypKLgPQQWuw1AddOR3id1mR9lr1RvF1siWCvV1O5hIaQgJIxkJJhoKesv0bFsX+/BBXKSVff/o0/+vHpwC4qK+Lz956Gau7PQXv87pUhgKeqn2ajaKWnogPXLuZQ6dnMaREzfTPSAndPuey0bcdrFy0yg5ZTA9Xu8+crcXxjaUsErBS9kc4ofHXPz7Jv//svDXjEXj75Wt47zWbcqXVxVCEoKfLSXcmO9lsDoSs7iuVKcs/E5a7rdnOuGCctFYxDDVr89aiIJY7fWmtB4uUknQmU5ZMGyQ0e50yzTA5Np6lwrfKF0MlBlSriuDi1YEc6+Ila4N0563/Q988jFNVKg6u3r25j7upn+AjnyjE51SJpXQUYd0jqZtI4A+u28LG/q52LlFccahH76zv7eLkVHTBDJ5NA/6mrK2cDhFCZMZM1KY3FtDWS4kiIJ42WNvtZSqaIm1IJJQtr9INk/FIilSGPEc3TL7w5DG++8IYALvWdfOpWy7NRXGz6PY66fe77XokDWPPjiHu3LOFh/afQDNM3KpCt8+JU1WXjb7tYOVisXZIOT1WywyyRokrWlFZUA71VhxUyp5JKfk/L43z8A9HmMvYEVsH/Xzwv2zj4jXBBa/Pwu920OdzFVS2LBUJVTVbcrnbmu2MC8JJa2VEplmbtxYHZrnTl1Y6WFK6QTJtEtd0ktriSheLEUlqvHgunHPIjo5FShKJBD0OLs1kyXYOd7N9VaBiuVW5MsRXp6N86JuHC5gYa+0dUxXBc6dm+dIPjuNUBf0+F0nNQFGswy2a0pfd975SUK/euXpzH0+fmrFmAwmLWXAymubdu5vDwFlOh4QSGp++ZScPHxjh2HiYtCFxORQePjACJdZefB2XqqAZJmnDJOh1EvQupPnPR1o3GQslc70asZTO//OvL/Hsq7MA3HjxEB9+62sKZEsIa/6Z390+R9hdN27n8nU9y1bfdrBy0ayMVq12SCMy0C4ldPVWHKzu9uQctWKcnIrx4JPH+NnZEABdLpX3vGkj73ztcNlKALdTpd/nqjpmp5klodVsyeVua7Yz2ueEayJaGZFp1uatNTK2nOlL8w8Wt0MhnjZIGybvfO1aRmcr91fVCiklY+Fkblj0C6MhTpUZljnc47UGRq/tZudwkPV9XSh5WalStPdA7nfRpI5pmvR2zUf+Z2NpommD6ViqIpW/qszPEXM55nvGVEVw7z+9gMep5PaCz20RevR0uXj8nmtteU4d1I969c5TIzMMBVyFc8i8Dp4ameGuJqyvkg7Jn5nWnSEbKOdkFl9nMODm7GwCRcCJiQgpw2Jmu2XX2gVrKGZwnIyk+Ni3X2BkMgbAf33DBn7njRsLsr9OVWEo6MbtWBxBSDU0Un2xnPVtBysXzcpoNbPMrV1K6GqtOIindZK6ya+8bt0CBy2hGXztqVf51nNnc3+77jWD/P6eLQxkKgGK7Yff+IUN3HT5moqBqKVMQFTTbXbpvlbP1Ws3XBBOWqsjMs04uFdyetkwJWndZNf6Hj54wzb+9uCrjIXmS/+u2lRfZiFf+a0OeHjztkEQkhdGwxw5F2I6ml7wHlURbB3yszNvaHSfz1XxHsVz0x74/lHAKlMIehwYhsl0zCpv6OlykdRMQkmdHq8jVwLZ5XKQ1HT2HjrLL+1ak+sdq9Rv0+r93UFp1Pu9nJmN0+9zM+Cf77mSUjbte7x6cx8P7T+BYUrcDqu00uWYL8+r1cks1kWqIvC5rZLbtAEeh0rA42DvoVEuX9eTe280pTMZSeWy4Ccmonzs2y8wFU2jKoIP3biNmy5bU7DmZvefZdHu/TAddFAvmpHR+vQtO5tmh7SLjVOt4uArPzzB6Zk4Q0EP779yYWvCT45P8aV9x5mIWL3qwz1e7rphK1dtnH9dof3gZC6R5ov7jjEYcOco7hspN11u6OjdhbggnLR2icjYiZWQXs72kqX1zL+Z/86PQu3a0MPnN/SUvUap7FW+kvzRzyd5cN8xdNOiw54Ipzg8GlpwHZ9L5ZKMQ7ZzbZAda4Il55KUw6PPnMGhiIJ+s/FwEgQMZiJlfT7rZzxt4lB01vR4iaV1BvweFMVirrSIPZyMh5MEPbXNelqJ+3sloNz34nOp3PHIwQUH7lJ+j/uPTrD30Ch9PiehuEZSN9Djkjv3bMjpkFqdzFK6yKkINFMuoGTOGg9z8TQzsfngyDOnZvjkd17KPZ9PvuNSXn9Rb8F9lrL/bKUZPx100CiqZdybZYe0i41T/PnDCY3xSBIp4cv7T/Crr1/H6zf2LnjfWDjJX+47zn+cmAas+ad37N7Au3dvWNAWkbUfsvPOPJnMXLbEfDHlpssJHb27EBeEk9bMiEwrU7PLqbTGNCWaaTlhWQr8dAM0+MUEGbMJLZepmo6l+PwTr3DjjiESuskLoyGOT0RLXsepCt68bTCXKds04FtUdL5Uv5lhSoSwHK8sHflQwEM4qfHje28A8mZSqY0b5u0SceygEKW+l1BCQwCaKRccuHZ+j9X0UvYw7PZ6cpm7eFrn8SNjPDUyw5nZOOGEhmGaBZm9cnuzWBdl5yPlI2s8TEVThPOId/79Z+f5iydewZQwFHDzmXftZPPgPFmKEIIBv2sBaUgzsdKMnw46aNRWqaaXmmmHtIONk//5dcNkdC6JlJLV3R7OhxJ8/olXuPv6+fYEzTDZ+9xZ/u6pV0lletlff1Evd9+wtey5PhZJLJh3ltU3rSo3haW3bzt6dyGa5qQJIf438HZgQkq5M/O7TwLvAyYzL/sjKeV3M3/7GPBewADuklJ+3661NCsi00nNziMrzKdnYqzr6eK333gRuzf3WwQCRdmxRlFcUnhqOoZhWBm5ubilnHRT8vVnzix4r9uh4HGqeJ1Kjtr+vpsvLrh2pYxcNawJepmJp+hyOXIZMYciEIooiJpNRVPEUgbXPLCP9ZmB3XsPjS7KMG+XiGMHhSj1vbhUhbRhljxwv/H+N9jyPdail0odhrphcmo6zsb+Lnq8TnTDZCJiZbv6fe6CvVnt8C5lPMTTOoMBd85BM6Xkf//4JF9/2pLXrYN+PnPrzlyPBsCzp2b4p+dGGQ0lVgQrL3R6LjpYeizGVlnK86UdZKPUGj71jkt5+MAIh07PogoYCHrwZXRDPkPz4bNzfOGJY7ya6Wvv97n473u2sOc1gyVZlVVFVJ13dmY2jipgZDKa61Ue8LuaXm7aCvu2UxW0EMJOVryCCwtxLRAF/q7ISYtKKT9X9NpLgG8Au4G1wBPAdimlUekeV155pXz22WdL/m0phP1Cn7Jumla54pMvjfOZx4+iKpYzlJ3tlR9dqgXVHKV7Hv0p50MJTGkJbjxdensIYNf6Hi4bDvKT49OkdCOnUMF6b7/PnWNQzHf+8meTVVp/lsDD7bB+Hjw+zSf/7SWcGZKFhGYQTmhIrDItr1NlOpZiIpJm0O9iwD9v9N52xTBPjcws2jBv1eHWDgdrCSyqaamSblkMshmm/ANbSkkoofGjj15vyz1q0UulXnNsPAICtg0FAKus59xcHF1ajI2bB3zctHM1333hPMcmozgVhVVBNw5VQTNkAb1+/gGfa6rXTO7KyFRaN/mf3/85+45OALB7Ux+fePvFBet5/vQsn/3uy0RTBrppkY8EPA7+7LZdtu2vcnu3eP1ZWS03QqCe+zXjuh0sGdpSr1SD3bZKM3R+vbKx1Gt449YBrv2zfQTcDkTeNpBI5uIar9vQy/95aRyw2Hnf+bph3vPGjfgyxB/F9s173rSRt+9ai6qIivd94HtHOTYRRVWsihwprSqdbUN+Hr/n2txzsNuBvuORg5yaji4gstrY72+afXsB68eyeqVpmTQp5QEhxMYaX34L8KiUMgWcFEIcx3LYnmrk3ksVAbiQUrNaid4xzbBS+X/1o5MowiIIgNLzv6qhFPHG5594hV+8ZBVJ3eTFcyFeOh8p+36/W8XrVBFCsCbo4fO/Zjlgl67prjoculQ/WXb9b9jSjzPPGXOp1r/Fg5+vv2QViiIKlOXHb74EmI9AxlIGg34XgwGrfCybRXlqZGZRSq+VGd1ONrk+LEWksBa9VLKEyTRZ12MNjg8nNM6F/n/23jxMjqu8F/6dWnvv2TWjkWRp0MiSJa/Ywk6MEcZJbAhLeByw/CXfzULsrDYQ8xnCknwmXOywBBt8iYVzs15suAJiQq5NwEIWBAtjZIRlNGgZjSWNpNmn9+7azv3jVNVUd1d3V6/TM+rf8/iR1equ9bzvedffmwEhBDwo1nWzeWf/fPBVJHMaeEJAAZyP5bC2yweRJ3l9A87o+5n5FPrDPtz1ehZ0iWVUfOypV/Cy2Rv61iuGcM+bRvPKjUM+AV86MI7FjAaeIxB4DpQCC2kVDz0z1jAWsXJrtxnZg07PRQfLgUbaKs3S+dXIRiuvIZVT8YXvncAlfUEMhv2YS+VsW4FSitmUgnhGsx20bUNhvPdNoxhdE7aP67Rvoj4RsayCz3znGKJ+seI8uQefPsoOYuVTzD+tBEuzSkKPTycQS6vgOAKeI9AMitmEAlUvbYfVi05VUDGWoyftTwkh/y+AFwH8OaV0AcAwgIOO75w1P6sJrdoIV1tqtpDIwyLb0HRqU2S7odT8rwtx7zT5T7xwmp1fY1kFK4LyLz86XfRdiWeNtRwhiGdU8BwwFPXZDtjunRvs73oZDm1fPwEICDjCGBlnk1ls7At6vgcLziflVKDl+nTqwXIafh2jszq0on/Qi14qR/YBsLJcjgkEZJ6DplPMpRQYlIX8BA7gOQ4GKGYSOWzqC7oSiuwc6cFUfInBcXIxgw99/WWcNUdo3PX6TXj3devzMou9QRnRgIhTc2lzZhz7N0IASijGZ1MNeU5eBvE2eg1fTIG9DtoHjbRVmqXzq5GNVl2DQSkEjsPZhTQoZcHdh749hqlEFrpOYdCl/T7sE/AHr9+EN18+lDeaB2CBYJEnCMkieI5ABl90vaX0TVLRMdzlw2xSsTNagyEZqRKVRI2CohlAgf41CHWdGdtItEMfYjuh1U7aFwF8HGxdfxzAZwD8HtxTfa5eASHkLgB3AcCGDRvcvtKyjXAlEzZYNPeKZiCn62ZmjNY0FHoo4sfZhRRS6YK8fgAAIABJREFUig5VNyDyHIISj3XdpR0cVTdwfCqJlydjOHIuhp+di6HUqbevjeDy4SgknsO3X7kASVjqKyME6A5ISGQ1VwcMYI6aW0aPI8zZW98dwFwqh6DE28ZiWtGwvse7g+Ylstcsp345Db/VZHR60S31ohWRQq96qXAztNZwWmHlLQQAKEFQ4nHOLDO2oBoAYIDnCRTdcF3HsYyKuWTO/vvPz8XxkX87gsWMCpEn+NBtW7Hr0qXzc4RgICLnyUczUWntNqOcarUF9jqojFbolUpopK3SLJ1fjWw08xpOzSYRz6hQStgylFIzcL30u2s2dOHDb9mG7kDxmB5CCKYSWfQExLwKHK/Xaz0XJ5mSVaraTIg8QUZlbS1WmSXAguQdtA4tddIopVPW/xNCvgTgW+ZfzwJY7/jqOgDnShxjD4A9AKvvdvtOqzbClZCaVXVWlqhqLEtm/b0RRB4Wrl4fxc8mF8ERFm1RdQPzaQNvvSJqfyeRVfHKOTYw+si5OMYuJFwjMhxhyssv8uA4YDDix+fuuMr+98uGInlZsT/ZtdlzSSVvUtv6BB6yyIhEAOBP37gZH/vmK8ioetkNrJzR5iWy1yynfjkNv9VkdHrRLY1AsyOFbnrphpEePHZgHB956khJhyP/dxkQAINRH2YSLKtGwNJoIsfITzRz8+YJKVrHc8kcYg4GxwPHZ/Df/88YFM1AxCfgr9+xAzuGl/SDyHNYE/Hlkexs6g3gxEwKxGEkGBTY3NeYtVVu7TarnGolB/Y6qA2t0ivl0EhbpVk6vxrZaNY13DDSgx+dmnO1ZSil+OJzJ5HIaraDJvEcon4BhgEcv5As6qm/edsAuoMSNvYGSxKDNPK5NBJb1kRwajaJRHapJy3sE7GpL1T5xx00DE0jDgEAsyftWw7ikCFK6Xnz/98H4HWU0jsIIdsBfBlLxCHPAhitlThkuZsPW02kYJUpqjqFphv2/6uaUVSmWC+LoRve/5XDmFxMIZljmTSBIwhIPEI+CVeuj+LIZBwTsynX1OhQ1IfLh6MISQIOnJiBT+Dgl/iayUcs8CarosRzkEUessCGQpdCpeZbtzUVz6joDUpIKjpmEjkMRmRE/EuRNEopLsSzGB0I22vhhpGeuklC3K69Ueu92rW73LJWBiuywb8ZqOUd7R+bxn17DyOZY4QfAOzSQ54jMAwDqsHkbMtACPffuhW7tg6AUorpRA6pnAaAycDeQ5P4u/0nQQGs7fLhwXdenmecWAOqv39sJm/t3TDSY/fA6QYFASs/ivpFbFkTqVp2Cte2xazq9lweOzDumWihFplp58BeB2Vx0euVavTJ/rFpPPTMmF2ivKk3gA/etq2s3vEiG079pBsUPEcQkgV8ug5SIU038K7HnseZ+SVbRuQ5hGQefSEfgrKAF19dsL/PEZZV6glKyCg6fJJgk4/lNAMGBf767TsaQkS0HDqj0jW3KWHYSkVJvdJMdscnAOwC0AdgCsBfmn+/CqyUcQLA3Q6n7cNgpY8agPdSSp+udA4v7I6t3gi9CGMti9vqDVMN9qemG1AN9qfXrFgtLIZecMee521Wx6xq2FT4heBM5rgdw6x8cfvaSN5wWsuBLNU7Vgo8RyALvE3uIQschDIOWS0oZMdKZFWcXchA4Ak294dwYiYJTWcEC9Y8p9lkFvMpFeu6/U13YBqx3mvd+NrU6FzxxlSjNsFamN32j03jA3sPI5HVkNMMUAACR1hQIqchazKmPnLH1fY1abqBqUQOOZXF1nSD4n/sP4lvvDQJgGXB//od29HlKAmyBlSX0psW8+nx6QTLzFEKmI5iNUZZpeMXrl2vLJxtHKTooDlY8XqlEfCi8y0dspBWYVX5GRToCoh1OVPOYyeymivza7W6M5ZWsZBW8O49zyPiW2JvNCjFfFrBfErN+77AARxHWHbfoBAFDv0hVqrNm0QbhTq2HffJSs+p1DV39F7DsSzsjrtdPv77Mt//BIBPNOr8rWo+LFzki2mlbNlbqTKavzIofmm0D5rpeKk6hWY5ZIZ7r1i1WbEnf3wGmq5jMZ0fJaqGhREAMoqOn583SxcnY5hNKnDzEznChjjuWBvF9uEItg1FbFakcijnclp9ZD5xiW2x0Q6ZGwpr4GcSOXDEGlhNsCbsw+RiBhdiWYRkARlVx3xKRXdAbAmpRiPW+4NPH8ViWgVPCGPvM4DFtIoHnz5a9tidRt98NMK5amS5XS39G48dGEfEL2Iw6reZHgEWnBjq8hdtyDlNx1QsB81gWbeMquMT/3EUPzw5BwC4aUsfPnTrVsgO+e8Lyzg0sWDPHyIEWBP2gUikiPn01r99zlybHAxKkVMNZFUFf/S/foIv/j+vrfhMSpUjl2JW9VpO5XbcmUQW9zz5EiJ+sRNh7mBVopzOt/TfodMLUDQDAk/sIc3EoEjm6t8DnfrJgrW3AsgLNs4mc7hv72FXxzCn6ZhNKnZgaSiyxN6YUjRMJ3JQdWaRDIRlEFDMJBRoBuA0enTVwGwii4GIz66mKdSx7bZPetljSl1zhzCsdVgOdsdVA7dFPjGXxrqu/IZOp7B+8bmT4DlWy6wZjDlI1TU8su8ENvZ7J6pwo6x/eN9x3IvSWbFX51NIZFQQjoAzKVUXUio0ozxb2mwyhyOTzCl7eTKGkzNJV6eMJwR+iYPAcRB4gvffsgXXv6a3rvt5HzeKm7YMwGf2kMkC5zoU0olWNPxbxAqS6SBG/CIAigtx1ouzznTYnYN5AW/NwstVRmCz6XEONj2D4tRcdc3YF3MZRKOcq0ZugrX0bzgdu4jfygznkNUMDIR9ee80ldMwk8jZpdXzKQUf/sYR/GKKUTW/+9p1+IObRvDiqQU7U76hJ4gbN/fa5Ya6YYAjxHYGI+ZsQUtWrLVJgbwsfUY1PD3fah1Vtz6QeEaFyBF7EP3dN40UHTeeUU0WTIoNPYGa3//FLEMdrFw49Z9BKZNXnYKA2nO+dIPWTfBRTp69BBt1g2I+pSCRzc+Q3XHdenz2u8cwm1SQUZe6bd4w2o//77ZL8VuP/wiluA01CkwuZjEVz0GnFDwh2FQDO3Sr4GWPKaWHVhNhWLtjRTtpYxcS2L3n4LJtYG6LXOQJpuI5hH0iqEnPmlJU9IdlnJpNYWIuhYhPyCtRlIXq6OqB8rO9SjlpbpSqegGlqkEpXp1LM9bFyRiOTMZxIZ4tOhYBsKk/iB1ro7h8OApdN/DMK1NVlyoW3k9AEsARIOzjkVU1fOOlc3jXdd4ZsVrV8M/IEgwQGBi7EDebagVcs6G77MDgSsbxSp87ttKvv140yrlq5CboXLuabmAqnoNqGBDNIapu11Xo2EX8IgSeFJVIxtIq5lJLDI4Tcyl86OsvYyrOMs1/dvMo3n7VWjsII5o9HHOpHB7dfxI9QRFRvw+ywDMiEsqcwYhfdJUVK1MHApg8JkUz2txQraNaSLQQkgVQAKpB89Z12MyaW8edNdksfQJjiq3l/TdThjrOXwe1wOu6ceo/ieeg6czRUXQDnMGSTxwBglLlippyKCfPh04vlA02xrMqFlJKUZuIblCcXUwjllGRM22ioMTjrteP4K1XrbXPUQqUsgCSZlBIPAuCzyRzJXXscsMLu20pPbSaCMPaHSvaSRM4sqxG4On5FKJ+EbpBQUFBKdAblHA+lkUso+b1fb3rtetBKc1Lp1vIqgYGI/4yZypGLbPJRJ4gp+VTqlLT0Pnyj07j5ckYXjkXR9Js+ndCFjhsGwpju+mUXTYUQajg/L+6Y7CqewAYPa1P5DCdyKI7IILjlkoXA5JQtVH62IFxKJqOuaSTkUioOw1faLT1h2WcXcjAANt0FN3ATFLBnTuXHNNaWJmWs4xgpC+I49NJEJrPpjdaIcPr3MDjGRUBiUfUnz+w+2Ipg2iUc9XITdBauw89M4aJuTREnmBdlx+qQUvqzkprl1KK2WR+JPql0wv42DdfQSrHBsd/7Ncvw/UjLJPOSq0NxNIazseykHgOqmYgllbRF/KhPyzj3GIWAIWiU6QVLe981tq05rRZNdECB1yIsQqGcgG7WmTRWeqze89BKLpRJJeUUqjm9fpFHjmNZdj7w0sZ9Grff7N0wMUeQOmgNlSzbpz6ry8k4+xixnaGLJ+IAJhLKXU5L3ffNIL79h7GpHl8q0f1o2+5DHf/609cf0Mpy+C5sUofPR/H337nOE7MJAGwXtk/fMMIfvWyNXmVO2qZGWE8AXQw1STyHPpCMgQPAaRGw6tDXWmPKaeHOiy1rUPzm3maDCt7ZdUiNxK6QZFVdaRyGosYJ3OYjmdxdiGNidkU+kM+1riqG2ywoUHBEYKNPQH0BmUkshp6g3IeMccd162HZlBkVB0U1CbZuOO69RWuJh9DEb/NumbBzdl7YXwe7//KYez+0kGoOoVP5ExqWQqdUuiUDUt8/Aen8KNT87aD1h0Q8frRPvzRG0bw6J1X49//9Jfx2Xddhd+/cRN2buopctC8gpg9ZVG/iMGoDxt7AxiK+nFJbxDZAgVYi1F6bCqOuZQCTWflBtYQ3uNT8Zqu14ldWwfwxF3X4/v334x13QEMRmVIPAeDsrLHgbCE58fn877/wNu2YyDsQyyjYiDsq9hYe2YhDU03MD6TxNiFOMZnktB0oyVlBPffuhXdAREEjASCgK2D+2/dWvI31gY+nciiyy8ipWiYSymIO+jXL6YyiPXdgaJoay3r+O6bRmzjn9JipwVgz373noO48aF92L3nIPaPTZc83q6tA+gKSNjYG8DoQBgRv1RWd5Zbu4ZBMRXP5Tlo//nKBdz/tZeRyunoCUr43Luvsh00AJiYS2IhrUA3YMslBStXBICwT8Ras0xcMyjOLmTyou3OtWnFvzkABticNplfCti5PYdaZNGJMwvpon5a1rei5x03IPHoC0s2eRBQ/fsvda5GDr23snzN2js7WD2oZt049V/EL2Jdl99mRCAAfAKH9T0BRPxi3evOCtZQs2TJOs9IXxAGhVluSaEbjFxtXXegyEGLZ1R88Gsv40++/JLtoL1uYw/+6Xevw69tHyxqreA5Ag6wiVCc12KABcKDEo+R/lBRyXYrULgfl9OJlfaYcnpo19YB3H7NMGYSORy9kMBMIofbrxnuBHuagBWdScuqOsZnkugLSTULgkVfbw12VnXKmBQ9kHUEJcF2apxZs3Kzu3aO9OBejNbEYujEHdetx8P7jiOj6nnndjp7Pzo5h89+9xg0g9oOp+64JeftXdITwPbhCCtfXBfF2qivYu+XF1hEH36RzSYr1VPWqMiM1eTrLHUwDBadbyTOLKTRG5TRF1rqP7QidU5U2ywcknicmEnZ9fSaTjG5mMXmKvoVa8WurQP41O1XVsVAVRht8wk8FN2wS9aA1V8G4YxchiTedlDrWceV5hrVkhWpNsvntnY13cCFeNY2diil+JeDr+Iff/gqAGBjbwCffOflWBNZkouwT7QJdpxyyRnMsFnKQjH9tCYsoy8kI6Pqeff0qduvxEPPjOHYdBIibzKrUQoCgoGIr2LGqdbG/f1j04hnVFyIZSELLELuLMd0Htc5ELzW978ah953sHJRzbop3McFnsn8ui5f0XiaetZdOeKQ+2/dinu/8hJimaWKoJDMyhYt/OjkHL74HNPZlmUgCxyifhGnF9IYO5/Is8kIIegOiNjUG8DJ2TR4QmBQNoYEYFT8hLASR2cfeqv3vmqy8JX2mEpzJPcemkR/WMYGU8/tPTSJK9Z1dRy1BmNFO2kgLOo6uZjF6EDpAXua6XTpBsseqRr7u6KVdsbcUEhuYWWyRI4gkdU8O1w7R3rqnk3m5uzd/tphhHwCvvriGRyZjOPg+JwrFT7AIj7dfgm37hjEb1w9jGhAdP1etSCEzSfzCRwCkmBm7io7e5UUhldIAodkVoNm6BZbNwgFJH9jk8bNMqTsZ0WwFBqkaIjD7AXVGrKFG3h/WMbkQobRtlO66ssgCp0lliFnmVWLQKbWvp9y76KWkrh612whg6OqG/jsd47h269MAQCu2dCFv3rbdoTkpeN3ByR0ByXIIpt9aDhKaTnCos4DYR/OLqSRyunoD0noD7uXylr/WU7xCxPzkHnmoFmZq0Y7Hdb7Dco8MooORTdwLpZBTtMhCXzRunbTY14GiTuxGofed7ByUc26cVv/Es9B0b1VyXgt1SvnOBqUmnNSCatu4kjejNR//+k5PLr/RF7gliNAT0BE2CcW9faLPIeBiAxZ4PGhN19mM0fCIBA5ZmSE/SL6QzJmkjkIPFm2va8RgTgL5fRQh92xdVjZThplDaGUUui6gXhWhW5S1usGo7BXde9OWCW4kXUAQMQv4fHfubIh56gGl62N4N071+HIZBwvT8bwwH8cda235gi7Vr9JXa/qBp6464aGXYfAsQHUQZmdw6tD4aaQS81t8oq+oIT5lGJnCS1HrS8olf9hlWiWIZXIaRju8mE2qdg9dYMR2bVPsB1QuIGHfSL6wjpSOb1uJ2UlwG2zAoCugISn33tTzcetZKxUuxnvH5vGQiqHibkURI7DmogMgec8r9lUjtFRW7o0mdPw/3/zFfzk9CIA4Ne2r8H7f2WLbQwRQtAXWir7Gx0IY2IuiXhmqVc0EhSxsTdky7w1m6zSPVmGRS3EPNXCer8WuclMIoespiOt6HjwnVdUzNjVkvFsVMCqEJ0+kg5qQbXrptDw95pdrkZWSjmOQ1E/Pr/vBIKSgL5gfkbryz86jcOTi3jihTP25wSAwAOgBIsZFWGfmNfbH/WL6AlKtk2za+sAPu2oNglKzN5J5DR0BSTctmPQde5ivWhUn1k1KKeHPvLUkU5WvkVY2U4aAJ4n6AtIiOc0zCZyJb9X7UwxN9RC1tEoUEoxlcjZjItHJmM4NZtynSk2FPVhx3AUR8/FoRkGwrJgKxmmyOrP9gQk3i5jlITqs1TNamJPKfoSuYAJg7LPG4lmGVLruwOYmEvmfaboBjb2ls4ULyfcNnCR5/HIHe4G7GqD5SzFMypmkznbAYmllZqP6UU2qtmMncdb1+XHVCKHs4tZbBkI4aNv2VrxPRUyOE7Fs/jQ11/GhMmW9ju/dAl++/pLbB0jcCzy7BN527g4NhVHMqejJyiiNyi7GmrVGhitcDqcznDYJ5qsvWyotZf1XWvEuRkzlZqlszpY3ah33Xj9/WMHxqHq+aRfEb876Veh7KcVDVnNwDuvHsbfPnusyE7TDANHzsfws3MxAKySaCAkYz6tMFZZwioDANbbPxT1Y22XHz6Xua7OjH6hnt57aNJzr6tXx6saW6nROrGUHupk5VuHFe2kyQJvN6oOBOWS36tlppgbGsXM6AW6QTE+k8TLk3G8co7NJ5tNFht+HGFRarufbDiCXrMm2rrvrGaU7FvzCitbFjD/q7f8rlnp8ulEDrw5T8nKonHm541GMwypG0Z68MLEPKMQNlkjpxMKdl9XX3lss3CxG37ruwM4NZvEXEoBB9ZHqJjl1bWyl3mRjWo248LjRfwS0gqL/Fa6vplEPkHIsakE/uIbRzCfUiBwBPf96hb86vYlVldZ5DEY8YE36f0t42Io6sdsMof5lApVpxgdCBetk1oi9s1ee/UaI+3WB9YMndXB6ke968bL749PJxBLq+A4At6c4zqbUKDqCdfjPQDg7547idPzaQyEfbjLDLwP/XjJTlN1A9OJnB2kFXmCnoC0pA8JMB3PwQCFyHPIqCzIe8/Nm10dNCfqsWGqcbwa2WfWKHSy8q3DinbS4JEdsZaZYm7wQtZRKzKKjqPn4zhyLoaXJ+P4+bm460yOgMTjsqEILh+OYvtwBNuGIkUMPBbqISnhOUb44RMY4UclhVUtmmm88BwB76Dy143StLkWlnN+UCGFvcwTZDUDqjlTxidwePwHp/DVn5y1rw1A2807aiw1y8rA3TeN2JTPhLNGWhD0BMWaAw5eZKOazbgWWTMMiulEDmlFs6sQJuaSiGc1GJRVEAxH/fiHH07gmSNTuOO69XjjtgEMhGUQwhy0e558CWlFt8k2+sM+BGWhaNZa4T09+PRRHJ9m2eSRCsNgm+101GuMOJ28RFa1yyWDklDRie/MNOuglVju9eY2x9UomONqQdMNxDIqspoBvaCd5Y7r1uNzzx5DPKsintHsfckvcghIPIKygIW0YlcEdQUELGY0+AQOa7v8+KM3vMaTk3Xo9AIMSiHxS2RCXm2Yco6X9e/Wezg2FcdQND8RUGufWaPQTGdwuddhu2FFO2k6BXqDckXHo1Flio1iZgTY0NMjk8wpOzIZwwlzBlAh+kISLh+OYscwm0+2qS8IvpD/tcI1e7k+QshS35rEQRYa65QVolnp8k29AZyYSYEY+bO+Nve15wDpwnOfW8zAoIBAGAmKphtIqwZ4zcCGHvbMPrD3MChYvfxyzzu62Gcv7do6gLBPQDqnQTXYht0flhGSq5/xZ8GrbHjdjKuVNSeDo52NV3UsmmxpHIFNBmBVJnz+eycwGPVhjaMMKKVoEDjGUHouxnRt2Ff5uaRVA+u6/bZTtJzrqV5jxHLyZpNZzCYU2wgNSHzZ+7rY5aqD1qId1pvIE2TU/DmuAGNOtGAYFAtpBd/5+RQefta9OkqW2Fgci92RN2exdgdE+CW+iPBtuDuIv3rrJrz5iiFPFULWs7K4vZz6TeCJJxumVODs+FS86D0kczpmkzmbUAloj9LCZjiD7bAO2w0r2kl7TX8In313ZcKORpYp1sLMaFCKV+fSrJ/sHOsnOx/LFn2PANjUH8Tla6Pwizx+djaG2VQWCykVw1E/NpdhsKwFHCEIyDxCslAV4Ucj0Kx0+Qdv22azL1lDLrtkER+8bVvJ33gtJ2hGhKfw3BYMMMfZiiHqFPjFVIINAdYNcByxo2vLyazUYXli5caFTlBa0WreRBstGzeM9ODR/SehGxSywIa7uzETAsUMjk+8cBrJrIaESVwjCxwMaiCr6hg0afbDPhE5TbffubUmfAIPzWRXg8ECU6WMGEu2Dp1eAAEwaI4AaYf1VMgq+ZGnjmD9AW/ybzl59zz5EigA2RF1L3dfHbnqoJVYrvXm3FNVnSIo8VB1avekhX0iNvUxuyeWUbGYVqAbFE++UFwdlcxpeOjbY1hIs/JsjgDvuGoYx6eSWMwoed/NqhqmEmxMjE/gEHT07VeC9awGoz6cW8wCJoP0VCKLgbDPk54uFThTdIpowXvoCYqYT6kImnbaaigtLGVLdfReMVa0k+YVzSxTdIOiGRi7ELczZa+ciyORLWbnkwUOWwfDdpbssqEIQj4hr4cu6hftKNGtF9bgpTOxushPDr26gCd/fAbnYhls6A7gD11S+61INzcrXV7IvuTluGcW0uAJMD6TtDeHwtl7zYrwFEbUOEJgUAqDAhQ0L7tq1ekrOgVfkHVdrj6Xduu5WQ40o1m70ow0r/K5f2wa/3LwVVDKWG81k0b+z964ueg3WVXHhVgWhhnCVjQDY1MJ5Mxyo6DEYyjqw8Rcin2HsF5V3jSWrHdurYn+sIxzi1kYoAChyGm0Iqsbm3sGnFvMYm0XcwArsVa2ojSmHvnftXUAEb+IDT2BPEOw3H01S646pUQduKGe9VbrmiqUKd1g/df9Icmek6jqFL/7SxsxuZjB938xY5O/zafY9wCeEflkNcwmc/Z+eelgGO+7ZRRb1oSx+0sHwRPgzEKOBTgJsen3Fd3AQlrBfXsP49O3X+npuq1nRQjB2i7Wt5vTDBBKPJOGlNozJIEral/pDcpQdWqPKlnpfd/ldGnHnijGReGkNbJM0Q2xtGqXLb48Gcfx6YQ9VNmJ7oCI7Sa5x47hKDYPhPLmd1hw66GbT+Xwry+cxmDEVxX5iVXGGJB5/Hh8Ho/sO2E3z84kc0WGRivTzc2qna72uGFZwPHppNnLRlxn7zUqwlO4oYVlARlVt48rCxyoxma86Q4PjSOs18my8QrHStRS/tAIg63D8tScgEOpNVytfH70qSOYMQmHOLPUjlLg6SMXcM8tW+zvFVLsx9IqPvLUEdtB6/KL6A9JSwOpKZsfxDlYY613bq2JsE+0jZisZiAoCa5GjFO2JJ6DpjMH8EIsW7aHq5W6ql75r1ZOmiFXnVKiDkqh1vVWz5oqlKm+EMvMW+Nbhrv82L1zAzavCeH7v5jJI39bSCuYiuegBikSWcbsCLDSxj9702YMhGT83f5xnI9nEMuoUFQDvDlYW9GYjiPm96kBLKZVPPj00apl2WJ8TSsaBsK+uhkvHzsw7voeRgfCdY8ncsNyBG3K6dKOPVGMi8JJAxozQBpgxvHkYoaxLk4y1sUzC+69beu7/SbBRxRXDEextsvnKaXu1kOXUnToBi1LfmI1+F+IZzDcFcB7Xr8Jv7Z9kBlVAB7/wamKhsbFmG62HR7L76EFn6MxER63DS2WUe1xAX6RR8QvIJswMBBm0cRXzsVBYRnXFJQCPAcYBurK3DTKYOuwPDG0ijWvGvncPzZt6yYC1uOhUwqOAOOzKft7CykFC46RAWcX0vjQ149gcjEDAiDkExCSeYCwDTMoCeAJy7y5vXPnmgjJAnKaDi1FIfLEbox3XqtTtvpCMs7FMqAGhWawPpVSPVyt1FX1yn+1ctIMuboYdXsH3lDreqtnTZWqYOF9BP/+ZzdiMa3aWf3CwHVPQMJUPGcHoABGDPLnv3IpQrKQz+adyLH2AYNCcPTzU7AgNiFs3u6puebIcimU2jNatZ8uV9CmnC79+Nt3dOyJAlw0TlqtUHUDJ6aTdpbslXMxu+bZCYEj2LImbGfJtq+NoCtQ2wBltx46RTPyGmiBfPKTn0ws4PPfOwFJIOgLyVjMKPjk02Pwi7wtcF4MDa/GyGoqm0kqevEA6ZCcN1utERGeUoOPRY6gOyjj7EIaG3tD2H1djz0QM+wTwBHk1el3+2R0ByR0BaSaMzeNMtgudgr+VqNpd/mkAAAgAElEQVQaZ8FyiACYXhozTHQKGLqBfUensH04ipRjUPqRyRg+8m9HEM9qkAQOf3HbVvgE3g7+DEX9+Mu3XgaB40q+c+eaOD6dQCKroTsgoi8kV5z5FjHv7Yx5P1KZHq5WlsbUK//Vykkz5KpTStRBKdS63upZU4UVLKpu4OxCBht7g5hP5Y8bsgLXlFIkcxpmkoodU+U5gk29Qbx+cy++9bPzeOV8DIQAfUEZBISR9Zi6z8kTWWsHfjP3vFbup8sVtCmnSzv2RDE6TloBklkNr5xfGhh99ELClQI27BOwfS2bTbZjOIJL14QhN4im3q2HjuMIwgXZtZxmYF13AGu7/PjwS0fgE7myAufF0PDynWZFYJbL8bPueaR/qbzRKl+w0IjoWakNLZZR8cz78ksZ7jH/dD5r53nvv7XyEOJK11KpD88rWpVF6qA6Z+HYVNzyzVBQHQsewEf+7QjuuXmpXHr/L6bxyafHoOoUUb+IT7xjBy5bGwHAKhH8Eo81YZ+dmS9HpmH9t3vPwbzr9TLzTeAJCCG4pNuHiH8p0FVo/LWyNKYR8l+tnDRarjqlRB2UQy3rrZ415axgoZS6VrBY1UHzKQXzqRw4wtkl2ATAYMSHf/y96/DSq4t29swwWLXAdCILQnyshJpQUABbByM4PpVg5ZGE9X1bDNCj/eXHfTjRzD2vVftpI4M21dhulXRpx57IR3FD1EUESikuxLN49ugUPvfd43jPP72Itz/6X/jQ14/gf/3oNA6fjdkO2lDUh1+5bA3ed8so/v6/XYtv/PEv4b//xuW483UbcMW6roY5aIDZQ3fzKHqDMhJZDb1BGb+1cwMEnkdO082+KQMAwZ++kQ1dPLOQLmo4LRS4u28agapTpBUNlLI/Cw0NL99xRmAsBjZnKVMp7B+bxu49B3HjQ/uwe89B7B+bzvu3j33zFUwnsnmOn/M7zYKXe961dQAPvG07BsI+xDIqBsI+z03CFqzB605U2tAacV43hCQek4tZaDoFTxhN+uRiFkGpuaMXOqgPXtYqwOQpmdPBldDwa6Js4PSTPz4DSimefOE0HvjWUag6xbpuP75w59W2gwYwAo/ByJKDZp2jksx60UsAIyU5u5DB8ekkRI5gy0AIQkG/bqGseH0WjUCz5LCVaOXz6uDiQD1rKqnoGIrK4DhWhs3zBGsiMtLmHmkRqM0ms/AJHFQdtoPmEzn0hSXc+6ZRiDyXVw4pCRzrnQXBYlrFQMQHg7KMG6UUXQERHGEVLJpugIDxBdx/69ZmPqqKKGcfNQO12CNuqNZ2Ww26tJW4qDJpukExPpO0afCPTMYxk8wVfY8jjFZ7+/BSpqwvJLf0Wq0eOmvgYkDi8fot/fjS90+5poG9RLS8pJK9fMctAqPpBg6dXsCND+1zjaRUyr4tZ7+E1xR7YYTHUqpeM3+1RuObEVmyeyOtYS8AQNHSMQwdVA+va/WxA+PoCYqYS6rgeJpHZNQbFBGUBFBQnI+l8fCzJ/DNw+cAAJcPR/DA23cg6pDv7oCE7mBx6bYXma2kl5x6YXQghIyqI60auP2aYew9NFlWVrw8C7cIr3Xt1WbsV3qEt1NK1EGjUeuaUjQDA2EZM4kc1jtslIyqYyDIbK0nf3wGmm5gNqPm6S+eA7auieSRvzn7+HtDEqZiORDC2Bt5jqA7IKI3KCGWUbGpL4Q7d26wWwqqlYNmVPzsH5vGB/YeRiKrQTMMzCZy+MDew/iUR8bJWtCo3rpabLeVrktbCVLIEreScOXVr6Xf+M/nSv57RtFx9DyjwX95Mo6j5+NIK3rR9/wij8vWRlg/2dootg1F4F/GjILFyBiUeQQlIS96XQqlyuKaEaEoLGGKZ1RMLmYgcASbTUOr8NyFvwGWSgqfuOt63PjQPpvW1oKV6RwdCNsK8YYR1q+13L1wtT5vS8Evt5F040P7wBPk9eH1hSQYFPj+/Te3/HqagLq8zWuvvZa++OKLjbqWlsOSp2ROw0wih7SimwQ0wGazrDelaEhkNcTN8SBvvLQf99+6FZKwlMHqC8uI+ES3U5SU2VhGtddQJTkppxcstrNaZeWR7x7Do/tPQjMMyDyHaECEqjOK/4hfbLqerBarqc93FeOi1iv1QjUp75NZLW/UkHM00r03j2JkIIjf/vsX7MwZwLJdPUERqZyOL/9BfnvA+79yGPPpHEKyCJ4jSGRVXIhlQQFcs6G7YbK0f2y6aA5rSBY80feXk+/bPnfA7s+zBnnrBsXoQAhPv/emuq+70jXVY4942Qc6qIiSemVVZdLmkjm8bM0mM6nwDRcftC8k4fLhKHYMR7FjbQQj/SHwHhyhZoLnWCQiKPM1DZZuZZS0MAIzlWCDucsNoK1U/+wWcZ9L5ZDIanYa/dRsEi9MzGMgLKE36E5C0Cq4RY9mElnc8+RLiPjFkkZWu0SQvPThdbBy4aTBD8kCFjMKzi9mQcBkMacaeU30u3eux+/fuMmm1CeElR4VDll3O0c92ftyeqEeWdk/No1H95+EQSlEnoNOgbmkCoCCIwSDbTAIvvB6O/T4HaxWaLqBhbSKZE6ze87cRiP95mvX4exiGg/8x89tB80vchgIy5AFFlQZjPiLjv87v3QJPvOdY8hpjHGW5wgGIo0vo3vw6aNYTKvgCamKvr+SfI/PpuwRKQCYo0ZoHgtvM+Bkyj2zkHZl362ETq9rc7GinTRF0/Gtn51jjtlkDOdj2aLvEACb+oLMITMzZWsicluUddXrmBXCi1HTiGhtoeFFKTDc5UPYEXGvtsnfLfU+n1LRHRDt3ySyGjgCxDMa+kK+ZTWwCo3LeEbFXEqBQSk29ASqMrIK30krsoUd6vzVDev9pnIqBI4DAYFP4JDTDWRVA87YVV9Qwr6xaRw9l8Ad160HR4CvHZrEZCxTdv15XUPl9FItG7wXHfbYgXHoJuW2NV/QAIWiUfBcfuSuHRgOO/T4HaxG6AbFQlpBIqsVzfYE8kcjHT0fx99+9zhOTCcBsD5VgScIywIkgUNG1aEZFHdct97+vcCx3rSR/nXoCkgNCVKX0y+n5tLMmTKD+rphQDcoxqaS2L3nYMlztqt8F1Yb6IZRdXCoY0s0FyvaSRufTeGz3zme95kkcNg2GLadsu1DUYR87XOblmMWkgX4RK6lzmIjo7VOw8sqWXLCrcm/EqNPYcR9Ma3k9QIqugHOrDO3sFwGVqFxOWv2NvoEvmQ20Q2F72RijmUL+0NSScryRqDTn7K6sWvrAD6s6fi758ZxPsai1CLPIZFlwQRKl9oR4zkVl/QEMJfK4W++PQZCgK6AVFFHNGINVbvBe9VhZxbSkAU2GNtuv2QzuCEUsKm0Q9S3Q4/fwWqCbrByt1hGdXXOnEhkVTz+g1P41uHzdvDoLZcP4T2v34RfnE/kZdqcfWhhH+szc7LNNqI3zKuNpOkGVEepVrnvVpLvTb0BnJhJgRjULnc0KLC5r3l6qVS1QW8IVTmPHVuiuWgf76VGdPlF2yG7fDiKzQMhiAWsYK2GRRt7Pp7BUMSPO1+3HjdvW4OgJCxrr1uzojleDC2vpCXOvxf2q0g8Z/dPWfBiYDWj16PwnnMaY4nqDy85lV6MrMJ3Es+wbGEiq6E/3NxsYbuUXq50tGMvUSyjYstgBJ9515X2Z+949L/s/jOeIxA4wDAoDIOCgK3B6XgWhCNY2+VNR9Sbva92g/eqw9Z3B6DpBuZSCmAwB02nFALHxqe0W9S3UzLUwUpCKZk2HM6ZUcE5o5TisefG8fWXJqGZzs5Q1IcPv3lb3ugPyymzIJqzE5thS1XSLyN9QRyfToJQCt1xfz6BK6srK8n3B2/bVtTr1iWL+OBt2xp+j857das2iKVVnOWqCw51bInmYUU7aSP9QXztj25oi9JFC1YzrMgTdPtFxLIKvvC9kxgI+xq+iKs1DpsVra2VHbESCh2hsE/ATFJBxM+GWnoxsJrV61F4zwGJEb04Sz69GFmF76RR2cJ2dBxWI+pdX41+T5RSzCYVJLJq3mf/+MMJ20GTBA7DUR/OLKRBwIweQghEnkCnFKRgLGQ9OqLU87n97GJNJb1edZilO3qDEhJZDTmNsbz9yRs344p1XW0X9e2UDHXQDDSLibBQpj/61BHcn9uKy9dFobsRARRgYi6Fj3/rKE6ZPVeEAFGfyIZVm3qqEIQQRP0iugNiRZuv1vuupF/uv3WrzcJo3abAEQxGfUXfdcJLJdGnb7+ypXqpVLVBTjc6waE2wop20iS+/j6uRoLnCP73T87CJ3IIyUzQRYFvSiakFuOwmdHaZkRSCh0hRp3bk0ede8NIz9IwXRfF1sxacOc9W++jWiOr8J3Umi10okNC0DrUs74a8Z6cxsi6Lj9+89p1uHpDt/3vqm7g0/95DN/5+RQA5qD1hyQIPAFHCHSDoicoQTQHSAscV8QzVY+OKEWw8+j+k1jX7a/6vr3qsEqBo3aTg07JUAeNRrP2AadMU0ohCzxU3cDj3z+Fz777yrK/zao6/uXgq/jqi2dtZy4kC+gPSRB51nf25I/PFGXPJIFDv0ke4rw/N0esnvuupF92bR3Ap0xn6tDpBTZQO7rUj19KV9ZSSdRslK424DrBoTbCinbSnCgsMXTWLjcTAschYFLl+yXGdNiK3oLHDoxD0XTMJTXbqA/7hLLGYSujtY2K4Lkprnsc56ikjFvV61GrkVX4TiJ+AdMJBWGf92xhIdq1SXk1op71Ve97cq7/iE/AuVgGn/7PY7j35lHsHOlBIqviL7/5Cn56JgaADYAdCssgHIdEVrP7Pn3msOm0orF1Z/5/I3SE2/NJZDUomoELsaxn3WXBTYfFMiokniua0bjSSnBW2vV20N5o1j5gybRuUOgGNR01DhfimbK/++HJWXx+3wlMxVn/Nk+ANRHZDmgDTEc5j0MIm3EWLaB4L7f3P3ZgHImsgliGZbs4AkT9tesXt9YNpzNoDcmupCvbTb5LVhvsek1bXWc1WI0VRKvCSXPO24j4BMylcnh433Hci9GmOGqSWX8ckHjbwLHQqt6CY1NxxLMaODAqWE2nmEsp0PR4yd+0KlrbqkxOI4bpNhK1KOHCd7KxN4Td1/XUPGgT6JAQtBL1rK9635O1/mWBh2YY8Ak8KGWR6A29AXzo6y/j1Xl2rKhPQH9YQk6j0FQd733TFvzajkEcPrOYpw8++pbL7GM3Qke4Ph9zVqWmU8+6y0KhvAQlHgSsPLiTNe6ggyU0ax9YG/VjKp7Jy2plVcOVGh8ApuJZfOF7J/BfJ+YAACJPsPu6DfjpmUUspJW87zqPI/IcBiL52TML5fb+I5OLSOSW5uEaFFhIazgyuVjx3qqxkVZ69nulX38hVmsF0apw0p788RkIHBuWCsCOgLilzWuFJHAIyQKCslCWmKRV2SpVZ6UCFrMRIYwEQNHz68HdIgtP3HV90fEaiVZlcs4spMETYHwmmTeQ2bkJlXofN4z0YPeeg20RcSmXLawFHRKC1qEeea/nPe0fm8ah0wvQdAOSwKEnKCEoMcbYMwsp/MmXD2EhrYIA6A6K6AsyQhu/yM7xtUNnccfrNpQMLBR+VmuE0u35UII8GutSusvL+XfvOQjVoJ2scQcdFKDR+0BO07GQUvHOq4fx8L7jMKieN4TaSY0PMPbDvYcm8c8/nEDWnHn22g1duOdNo1jfE7CD6xm1+Dghn4C+oGzriEKUc0DTKjuXsxOGUtifA4x6/vEfnEJK0RGUeLznxk2455YtAGoLtlbuwmtPtFt2rx6s1gqiVeGknY9nECmg2S9Mm9cCkV9yzCTBG2Nkq6ITksAho+gw6BJlKyjyrnO5IgutyuSEJB4nZlL2YElNp5hczGJzf9D+jtv7uGGkB3sPTbZNxKUWA7jcbzokBK1DPfJe63vaPzaNjz51BGwwM6AZFNPxHAYiQE5lQ2MNylgMBY6gNygt/ZiwHpAL8eKZkoXnsNZXWBYwk8wh6herlhe35zOTyFXUXYXXUkqPrcSs8Wosyemg/dCofSCn6VhMq0jlGKGH2xDqwvaSn51dxOe+exwTc0wOe4IS/njXa/DGS/vtskW349y5cz3ecuVaBGVmz5WSlXIO6OSiafcVeE7WKIBHvnsMD+87AY4AAsd+9/C+EwBgO2pesFozN17RbnpsJe4FXrAqnLShiB9zqZydSQPKp9/LQeQ5BGU2YNotze4FrYhOjA6E8YsLcSxmVLvuussvYnQgbH9nuSILjYzglVMEdo26NfAJACiKyGQK38fuPQdb9lwqKbJaFH2l37RbGUO7KfNGo1Z5L/eeyj2zLz53EoQAvUE2R49QAKC4EMvCSkYNRX345G9cjs999/iSbiSAyHHIapWHRTvX14npJDSDIigJIJL3GYClns9tnzuAkzNJKGZ0XRbYQNqNvSH7/M57X0wrJeV1pWWNC5/tqdkk7v7XnyDsEzA6EF51stHB8qHefUDRDCymFSRzxWyLbtT4ALCYVvDYgXF8+xVGVMQR4O1XDeN3f3kjQnKxuek8TlAW0BeSwZvZs3Ky0h+SEcswBttCB/SVczGkchooWACIEIAzjw8Aj//glOmgcfY1aoaBx39wCvfcssXzfrWcmZtq9tRWMXwut4O60vYCr1gVTtod160vmTb3Ap/IIyDxCEjeM2bLjRtGevDCxDx4jkAkrO46ltVwg0NxLldkoVERvEqKIJHTMNzlw2xSscsdByOy66biRKueixdFVoui9/IbL45DK5yndlTm7QS391Tume0c6cGrcymEfQJ8AgHgw3wqh5y2FDjeOhjGX79jB3qCkq0bs5qOkCwgq+XLotsaKFxfOmUZu9lkDhFTbmqVl/1j05hJ5mBQ1psCsEygZl6T271PzKWxrsuXdxzr/B9/+44VlTV2Ptt4hg0WB4B0TuvIRgcNRy0BpHLOWSkYlOL/vHwBX/r+OBImhf6lg2G875ZRbFkTLvtbjhD0hqS88TVAeVlR/CIbH8IRxDJqngP6nhs34eF9J8CbZdWGORj6PTduAgCkFB2FZh5H2OfV7FfLZV9Vc43NZvjUDYpTsykougGeEDz0zNiy6a7VWkG0Kpw0L+l3Jwgh8ImM/CMo8RCWefh1LXh+fB79IcbK42RIe3583u5n8hJZaIah3qhMTiVnxLq/kf6Q/Zu0omEg7Ct1SADuz2U2mUNa0YsY4uqBF2eqFkXfiM2hnchdOshHqWf2he+dwN/0XoFBR+VAQOIRz7LsGADcuLkPf/HmrTah0c6RHryPG8XXDk3i3GKmKFvntgbSiobByJIM8YQgqxlQdB3jM0n0hWQIPKkpQvnYgXFE/SKCkoDZZA6KbkDgl0oy73nyJaQUDT6BR39YRtgnQuQJpuI5RPxLZZuWHmu3rHElOGV3NpkDBwLCwe6r68hGB8sFVTewmFbzZix6wYnpJD733WP4+fkEAFZO/fs3bsKvXzFkZ8VKwS/x6A/JrjZYJVkBgO6gjGfel99jb5Usluo5C0rMgHdemkHZ56VGhtzz5EuI+EXPJZfNRDV76mMHxqHq+SzgEY9Ml+Vg8QGcj+VACBs/ZRgUx6aT2D82vSz6a6XtBV6xKpw0oHT63QLPEfjNbFlA5Es2pK4UnFlIoy8ko9/hkFBKPZFmOKPozTLUG1HyWckZqTVyUvi72WQOM0kFA2Gpoc/BizNVi6JvxObQSnKX1Vgn3kwUPjNKKQSO2M/Myo4lcxrmU4rdlP/Lr+nFX771sjzDSOQ5/MY16/Cu6zYUnafUGlA0AxlVR0ASkMiq0Mx5RgTMkJtczKArINpMkLXcG5GInZWjlOJCLGPKpA6BI9AMinOLWaztAtaEZZxdzJQdBLtSNmKn7FrRZ0phz0XsyEYHrYblnCVzmt235QVpRcM//NcEvvHSpD3Y+VcuW4O7bxpBj7MP1gUcIegOSogW7A1O1CMr99yypWR/mZVp0wyjKNP21Z+czdO9VgbPoBQbegJ5tsFyZW6q2VOPTycQS6vgOALe1KuzCQWqnqjrGtZ3B/DS6QVWSmq2lxAAIo9lDTKtpL3AK1aNk+YGWeQREHn4XajyW4lmZKu8GOqVIgvtluUofE5hmUXbC7OFm/pCnu6vFAp/l1Z0DIQl9IWYw9uo5+DlHd190wju23sYk4sZ6AYFzxGEZKGsAdyIzaFVztNKrRMfn0k1NKtaDZzPzKCsFDCt6HaP7c6RHtyZ2IDPf+8EFJ05aG+9Ygjv+5V8o0QSOAxF/a7RbIsdUjcMyI6slV/kIfEEqk6RVjRMx7MgBBA4Ap4ABtj/g1Iz61UcqfZ6bxYyqg5Fp4jyBLLAQdMpOI7AAMVMIofBqA+j/SF0B+UVHyF1yq41uJ6AoD/M2DdXgmx0sDpQ6JyVmzXr/LfBsA/bh6P49s8vYC7JShAv6Qng3ltGcdX6rornlUUeA2G5LEs20FhZKbQt3nbFIJ4dmynSX8+Pz+fpp9kkm+nmE3gQkt+P+8Rd1y9L5qaaPVXRDMDpSBHAINTuB64Vd980gt//5x8zxxms988Axdqwz5MNsdr71BuJVeWkcYQgIPF2xqxSqr1ZcC7AkMRjLqUgUgMzWjl4NdTLRRbaKcvhltWbjmeRUnTwHAFH2CykmaSCO3cuZUzrIW2wfnfjQ/ua8hy8viMCANRkn6IEhavWTaE98LbtdW0OrXKeVmqduGYs39wt65klsyoEnkNW1fN6bA+fXcSeH4xD0Q3IAoePvGUbfnlzH4AlY+pCIoONPUH84RuKB5NasmZFQZ1ZK54jGF0TsXvTJubS8Akc+kKynfm6EEtjJqlC5EnV7Gil1oMkcPCLPPpCMs7FMswbJBRZzYCqU3z0LZct6ybeKKPCGSCKpRVoBkVPUERIZsbfSpCNDlY2NN3AYkZFIruUOSs3axaA/W8+gcMvphI4PBkDwEh/fvv6S/Cb166r6HQBQHdAQneFLJuFSrISz6gQOVIxmOZmW0wuZvDIHVcXfb9QP+U0AwSwHUMg3zZYjsxNNXuqyBNkVDbixGbSBSDx9dnGu7YOYLQ/hIn5NHSDmuOPfBB4UrHdpF371NvVcVzxTprFxhiQeMgCV8Ts12oUMaPNJKHpFEFZKIrE1LMAGlF/205ZDresnmqwMi/RjKJZ9dTOvrtGYH13ABNzScQz+XXbFttcrfDyjh47MI6IX8RgdImJ1Lk+9o9N4wN7DyOR1aAZBmYTOXxg72F86vYr65p3V0sGrxas1DpxjpCGyms12LV1APdlVfzPH0wU9dg+e3Qaf/PtMag6RXdAxCd+YwfiaQ3v/8phTMwlkVJ0dAdE9IdkzCRz9uYHwN6A4hkVAYlHRBYwk1RATcqRc4sZDEb99vvZtZXNISvUEXMp1rNSih2t0r25rYfHDoxjOpG1HcHZZA45jTFKPvC27cu+eTfSqHAadpZhsJJko4OVA6fhua7Ljzt3bsDl67uKyhrLzZoFAJ4AaUXHfEqxCYoiPgFf/K1rMBStzKIt8hz6w7Jd0eTVIC4lKyFZAAXrT6skk9VUDBXqp4DEIyjzeaQmy53trmZP3bImglOzyYJqJNGuRqoHH7xtm60XC53Fcu+33Sq4gPZ1HIEmOmmEkP8J4NcBTFNKd5if9QD4CoCNACYAvItSumD+24cA/D4AHcA9lNJvVzqHyBOs76kt3d2szfCxA+NQtKVGTU1nzGgziZwt6G5Zmlqur94oTjtlOdyyerpBQSnNIwYp7LtrBCymTM5kg1J0A9MJBbuvq38QeqV3VCmb+dAzY1hIq+A5AoHnQCmwkFYbwqJUKYPXKKz0OnG/yOP4dCJv+PkNIz14fny+4fpENyimE1nsGI7is+++0v6cUoov/+g0Hv/BKQDAhp4APvnOHTgzl7Gj3DnNAKUUCykVAUlA2CcirWh48OmjSKuGvQGdj2WQUhgdJM8t9WQoOsXt1wzn3Ydb/6bVf5LTdAgcZ2e6U4ru6R5LrQfrPGGfAMEsuVxuBw1orlGx0mWjg/aFZXgKHJspOrmYwSefGcO9N48W9e+XmzWb1QykcizLC7By5/6wBMOgnhy0sE9Eb1CyeQBqNYidsrJ7z0EouuFJJqutGCp0DAttpFhGhcRzVZfDlxugXS286g1Lfw9GhYbbeKWcRQBl3287VXBZaEfH0UIzaQ3/EcCtBZ99EMCzlNJRAM+afwch5DIAdwDYbv7mfxBCGtZEZgnadCKbt2j2j0036hQ2jk3FMZdSoOkUvJnV0ymQc9QAuzEstur6nNi1dQAPvG07BsI+xDIqBsK+ZTOK1ncHkFHzjTyeI3a03oKXKNb+sWns3nMQNz60D7v3HKz4HC2mTInnYJiNyf0hCc+Pz9d2M1XA7b6d9zg+mzKdRwICAo4wg3h8NlXXea0M3uiaMLYNRTG6JoyIX8RjB8brOu5qxFyK9UVa8nlqNomH953AxFyyofKaVXVMLmSQKXB2NN3AZ79z3HbQrlwXxSN3XIWhqD8vAq6azfUcRzCTYL0UfpHHqbm0vQERQuATeOgGqygUeTYPUuY5+ESuaM07dcSFWAYLaXVpJCFlfS26QW12NAvVymA76aJCnFlI583gBJbfqOigg0r4u+dOsnlg5r7mF3kIHLGzY04MRfzIqvl9SqmcjqzK+tYsB607IGJjbwACx2EoWn4f5jmCwagP/WE5j6jNaRBb1QoiT6rae6qRyUp7bDkU6iWRY8FMRTeq0v3WAO2MqueViD/y3WOVbxbV69NS199ovbpr6wCeuOt6fP/+m/HEXddj19aBiu+3nvfRLLSzjm9aJo1SeoAQsrHg47cD2GX+/z8B2A/gfvPzJymlOQCnCCEnAOwE8HwjrsWrl9yIbJulzCylJHAEqkHtrJBbJGM5vXgvEZlWZCHdsnohWQABqsr01RKl88KU2SysBIaoixEGXZLX+ZSK7oBoy2ciq4EjQDyjoS/kq1te949N49H9J3B6Pl3UsH7c8X0AACAASURBVJ/KaXjgWz/HjycWAAC3bBvAfb96qT3P0YqAcxyBLPDQdNZ7YBGKWJuhcwPqD8tIzaVBzSxqpabvwtLHREbFdHKp7EnRDfAcsecQNSJS3k4oLAuPZ1RMJbKglEX0OyWKHbQTDIMillExYc5ThKOy0cqOFcI5a1YWCGaTKmIZ1f6pyBP0BCVEfIKnObSFg6mdaMTeU6lVw2mzhGWh5OBrLyjM4DlHAHjV/ZUGaBdes9POqrcUr9V6tVms3M1EO7X+FKLVA8LWUErPA4D5p7VyhgE4wztnzc8aAi9ecqOyWZLAAdQ08sBYyjgAAk9KRjLa2YtvVZbPLeLz6duvxKduv7KqKJDXKJ0zMsVodnN5/94qAa0U6drUG2DlaKaTb5hZi0299V1bO0az2gkCx9nvIyQzQgsLim7YZbEW6hnu/OF/O4ILsWxew/4L4/OYSeRw71d+ajtov3X9Bnzotq22gwawCLiqU4g8I/cwwAJCIkdsIoqRvmDeuw77REg8y8jqlELgCdZG/RB4Duu6AyWjtpaeWhP1YyAk2XOGCAHuvXmzbWw0IlLeTrj7phGb7TKeUTC5mIGmUwxG5JZVPXTQQSVQSrGYVnBmIY2FtIJBl+xYVjVsllgndo704N6bR+EXeUzMZbBoOmgRn4AP/NqleOCt2zEU8SOR1dAblF1LJgGWPRuI+LAm4itJ3FbN3lNKFzllklKaR7pTaLMwVsilwdf1ZJNqtdVSSv5cNgB5JeLl7KyVpk8rvd92rJoot56WG+1CHOImza4DOwghdwG4CwA2bCie/eOGUl5ySBbsPpN4RkVQ5hH110fDPjoQLiKh6InK2NgbKkn0sJxefKUsWSuzfKUiPtWcxy2Ko+kGDp1esGvIbxjpwd5Dk3ZkSjN70ACgNygvW2THbcF/8LZtuG/vYSRzmk3w0SWL+OBt2+o6VztGs5Ybhbrl+/ffDABF5BmSg8jGQi3yqhsUj+w7Do4sZbqsd/EP/zWBuXQOs0kFPEfw/ltGcdvlQ0XHeM+Nm/A3//kLu5erV5OwkGaskDOJHJNdkUO8IJIc9YugAKJ+Me/93zDS4xq1vf3sIuIZFRdiWcgm2+P2qB+zySxSOR1f/clZPD8+jxtGekpS+7dD0KkWOHsvDp1egGCWcVk9xu3Su9BBe6IWm6UaUEoRz2qIpVVoxpJT5syO+USubAYskVXxw/E5HJ9O2vvQmy8fxB+8fsSeZfa61/SWvY6QT0BvsDh7VmhjWPtvpb2nMIM0MZfE3f/6E4RkHlvWRHD7NcN4fny+iDxj956DRTYLkD/42nL+jk3FbXbZ0YFwxax4rbZauQHaQHk7a6VVvXixLdqtaqKdCc5a7aRNEUKGKKXnCSFDAKzw41kATs2xDsA5twNQSvcA2AMA1157rafJi26LJm5Giqza4guxLDKKDlngyxJ8eD1XNY2apa7PC72sE9WWJXpJozdTQTRrfpyTzYgjBKpmQBI4+x4f3X8S3QHRdsitMsdUTofAqS0V0ErvYNfWAXz69isbrjzaWSktF0rplkL5DPsYK2LEL5QsYS6H/WPT+OTTR3FqNgVFpxAJMBD1IWhu0Lph4Nh0AhRAQOLxV2+9DNduzI9avzA+j68dOovz8SzCMruOWEbFpr4Q7nQEISx9QsGcy1iGrW+LxdONZbHQWJgxZaYnKCKj6FB0A+diGcSzCuJZHf0hyTaiXpiYBwfqSu3fyKBTq+mSLVm0xnU4WYTb2WDqYPlRrc3idW1TSpHIaVhM5TtnFnaO9OBejLKRHAUssc5jfOfoNB577iQW0iyQ85r+IN57yyi2r42WnZ1mwcri+6ViGgG3/W3vocmSDpYTTl2UyKqYS6qgoMiqhn0ctwxMJZtl/9g07tt7GPGMCkWnIGBZggk+aQekSpFC1RrcLDdAu9I1t3MpnhtWqm3Rbo6jhVY7ad8E8N8APGj++ZTj8y8TQj4LYC2AUQAvNOqkbotGNHvFrIUvCyw67mRhrEUQalmghb+phl7WQi11y16yZF6ykLUYSc2iPC1karQIWyK+pVIBzTCQyGroDy/9ri8kI5ZR7eyJ13uo11D08g6apTzaVSm1Gwrlc1NfCHfu7KloZLhh/9g0/vx//xSLadWOqqoUOL+YxVCXD5pOMWWSfvSHZHzynTvy2E0B5qB9Yf8JyGbgwTIUPv72HWUjyV0BCU+/96aie3PiI08dKTIWrPEPfSEfZIHHTCKHrKbbDpoV5IhnNFPuOBiUwtAN6BSYmEtDFji8/cq13h64h2e4XHTJjTaY2nU2TwfLAy9ru5Jz5sTOkR7XskQAeHUuhYefPY6fnmEzz/wij9/55Y1459XD4DlSdnaadcyInzE3lhp9VLi/aTq1A6XXbOi2dZYbnI7LTCLH5jqC2KyOpTLYlWT0waePYjGtQjdpaqn533xSQXdQwqP7T2Jdt79k0LTQVhM5io88dQTrD5SWX6sUvBS7Y7lrXolVLx3bonEghfMyGnZgQp4AIwnpAzAF4C8B/BuArwLYAOA0gN+klM6b3/8wgN8DoAF4L6X06UrnuPbaa+mLL75Y0/Xd+NA+8ASYTSpLGRfdACHAtsGILQjLUSvrNpsorWgYCPtKlkyW+o3IEXQHZVfq8JlEDoMRGRH/0nBJKyJvOSvOTaMwC1lYKlXNs/J6j9UaMbv3HMwrN9V0Cp4DZIG3jd2T0wkoOsW2oYj9u5lEFmlFR8QvVp2FrPUZAHCNzBe+gw5qQl0TBULrLqVv/dg/Ndxovv2LP8TPzi6CgjF2GgaFahoLPGFMsAAwFPXh4TuuyuuFAwBCCO7f+zPMpXKuRBbXbOjGsak4hqJ+EEIQz6iYTeZsHffYb70WAErKlJtcHj0fh8QTvGZgKapBKcXRCwlsGwzba/eVczFm8FBA4AAHoS2GojJEnm+IPq1FPzYKjZL7Rh+rg5ahLr1SyWYpt7a//Aevcy1rrBZZVce/HnwVX33xLDRT97xhSz/+eNdr8oY2v/8rhzGXyuX1YGVUHb1BGY/svhr9YffsmZNq3qAUfUERg9EA4hkV52IZELCe/Ut6g2XXu/NZjF2Ig+cIqMH6+0f6QyX3SStT5mwREM1MfiKnYXIxAw6wR4nAHPJMwCoXspqOy4aiRc+/ULfUK7+F5CYzyVxJm6ozT3HVo6ReaSa74+4S//SmEt//BIBPNOt6ChGSeJyYSYEnBDwhtpA6S4KWSxBqKTEs1Ys1MZfBRjMjd2qWlSMNhCX0BmXMJnKYXMwCIPYQ2cKosJcsZC19al7u0UtUsdCJOz6dwGDEh74Qi+6PzySh6kYeyUM0IGI+pebNfppJKhgIS/Z5PrD3MHqDEpKK3tRevZVWynCxQOBIQzM0hkExlcjizEKaGQ4808kcR8AbFDqWHLRL14TwmXddmbcmAOagDUZ8OBfL2LJTaPhMJ7JI5nTMJnOQBR7nYhlwIHZJz317D4OARcDdZMoZtdV0A1PxHDSDzXpMZNW8KgOrzyIgCSxwQ1lEmgCwxE3gCASOIJ7RkNVyuOfJl/DIHVfX9TyXs0ejkaU87Tybp4Plgdva9gkcTs+ncGY+U5dzBgDPn5zD5/edwIV4FgALBt37plHs3FRcTv3K+RgMg/Vr9QQlBCUBPpHDdCKL4W6/KzGIRTXPmAyBnAbMJFUQZBh5BghAAJnnKq53py6ybA4A9t5ebp90zgDVdQpFAxYzCnqDMs4uZKA7v+dATjMgEILxmaTdd9wXklx1Sz3yW2jbZFQ9j9ykUK90MlMXL9qFOKTlsDMXlvVifraxN1hUEvR/2Xv3KEmq+87ze+OR78x6P5p+mC66UQESCAwMjHC7BzE2SGOwvXgWfGbWY1sG27KR1oMO2Ja0NtbOwEoeSdjMLFjrM5btBdtty7DeAY8QbrU8CxbQuCUwLQqqW91d3dX1yqp8R8bj7h83IioyMjIzMjPyWfdzTp/ursrIvJFx7+/+fr/7e3SbVhR3r2suZhXIglCzdPjsSATn0kVczJaQjEg1j9HdAsI6/XESdAldoLEQ9DLisiUNhlGEojHDTCSsKS4hsL1xibCEjx++zA5XK5R1TCdDtvDXDYqNfBnreVa0YS2n4MEjJ/CFu68JPFcvqFAGHjYVPEEpzYqmYyWjQNUN7EpFkc6XmVOIMCXCqXb92NW78MCHD1YpQAJhxSoislixdtZySpXiMx5nTgjDUKAZAAXLu5hKyMgorIn17EgU2ZJqhy46jadHwJqonzb7q00lZKQLGs6li9g9SiGJAlSd4mO37LcLACxvFSsK31j/doYUSQJBoay3bfj22rHRisLktT4HrSAAp/O457ZuUOQUDVOJSFsG2sVMCb//d+/if7y7DoCV1L/nhr346Rv3IeyqVmiFORJilYqnWMkomE6x/LMfmIjXrNxolZonYJFJFqu5MiSRmMYTsU/sGjWVthwiW0UV2ZKGsZiMZESqW33P6gE6azbatgwuS++JSAJKmrFtoJnCShYJKNj9grATOM2gWNos4eB0oupzml2/ThngVagOqCxu4pdB3PsHccy9YscaaVlFw+7RiB3uGBIFzKbCyClaU+/TicnWiuJe65o9o9u9v9ylw5MRGbtHKZYzSlOnh36UpEbfi597bFSp0UvQRWUBGwUVsllivKwbZmgZU4hB2UZx9Z5ROx7cbXQub5XsU40QYSEWmwUVjz7/dsNcvVZyGO8+t1kVq96N/D4uKBsTlUUsXMy0nH+ZUzSsZhVYYeX33LAXj/1t3gwZptAcls3tV83ik7cdrMrvkAQBMyNhhCWmTDnXTlk3TG8xoAnMAzyZCCEkEmRNUUbACnekiyoMChBQZEsqzm+WQIi38fTksUVcOhFzOEhYSOVyRsHcZByyQPHnr59DMiwhWyxDMRPwraR4J6JAzNBOICwRu3x0q3Pt5rlxPHH0PWiGgbAoYCQmQxbFQHI0OrEmaq3PhOMk0oKfou9srLWdU1TIgoCiqjfsSVYPTTdw5PgSvvr/nUbJjD++bt8oPvHhg9g7XjnPrCIhb13YAgGQCEvIlFQQCgAUa1kFMyPRuuuMnZZth3ATM5TQKRIEAixtFhESFaSiEi6dqDaALJwOEb8hf2fTBYhk2zjTdApJ2NZ7ZkciOLtRgE5ZiLlB2ZjmJuPIKRoubJVQ1gw7KsDWHVw0owO4ZUBQheoa7f39uMf3Mqd4ENmxRpq1wJxJ+VbssV86NdmCKD6yZyxmlwq38CodLokCrts31lQuRyMDy8/34uce3UIwW1KxtFmCVEfQqaay6Lx3kQARR05ao+IoVrERgbDTVUIAalCcWt8WoEGegB05voSpZBj7zPc5cnwJV+8Z9T2HWgm7cMfte50W1rqu34R+J1nLKcgqelX/mkZrnFKK9XzZLn1vcePcOB760Xk8/tICzm+V7J9PJ8N442wa//7Pv1NRQU0WBcyORCA71qxz7ZzZKEAzzLBCcdvzG5IERCTBzn0DWMilTg3IZnl+5in3Np7euZhBSTUcIT9hHJhKYHmLhS05w3RW8ypCIgEhxP4sVdOh2coZhWGwhtmTiUhbp0XWehmLyciWNCiagY28io8f3tcxY6pdeV5rfRIzD3qQCgJwOstNl03gkx8+iK++/P2aFRn98t1zW/jSNxZwai0PABiPh/BLP3wZbp2fqnIEOYuEWAZJtqQhFZFRUnWUdXb03yjfKh4SkSlp7JTK8RECAWaSYVzIKKx/rOlAXcmWce8Nlffm3GMSIRGEEGQVzfd+405l0UChGkBEYgNKRmRMp8LIK6wViVP3uP5zXwe1rDPzb0qBtXy56nOa0QHcMiCoQnX19n4AfWkM8TDv5tixRloQSnYnJ1srITXuayylI6jS4c7PqWdg+f1eGt2j+xktm0rtTDICQgjCkoB8Wcdp03iyvPghR4t2SgFRqN942P05ls9MrFGxys93UAu3kZPOK23PoVbCpqwKV3ZOpsdpodfY+1Hod4pCWUO6oGI8Ljf1fDTdwMWsAsXV0NNC0Q1704/JIqIhEWFJQEQWcC6dx2eeexOJsIT9k3H8yuEDVR5vYHvt3P7Fb9oKiV2mDICqGbhkNIILWwoMsHBfCgpKgWREwkahDElgocCaQaHowOJqHmfWC3j8xXeQU1jSv0gINJ3i/FYRE1oIZZ1ixDVfdYNCNJUZ67MEgYDoFFFZZGHHAiBQ4PxWEWKW4FKPe/KDJVtGohG7OmuhrOHlxQ080NI7Vr930PK81vrcKqr4nbvezwsCcKBoOjYLKvKKhg/uG8UH9422/F5bBRVPHlvEC28tA2D74l0f3I2f/dClSIS9Vb5nXj0LVdOxWdbtgj8ioSipOi6bTtoO7EZz82O37Md/enEB5uGbzURcxmqujKlEyG6PExIFJCNSxdp9/MV38MTR9+yCH+c1A4JAsHs04nu/caeyiGYRI4NSW++RRRGP33N11fuUNQOiSCAJ20qEoulIF9SKPqtW8TVn+5NGp3tOGTCZCOP8VhElTW9LF6u39/erMcTDvJtjxxppQSSA9/tkC7J0uNd7+ymda9HK9+IePwWwezRiFzkRXTaUFWalGgDRaYUXjRCKk8sZhEShKsTC/TmxkIhSWYcgEFuxNShwcCpe9zuwGmTWOmXyMnJOr+exZzTa1nfVSujlqfUCK5du5hZ4nRa66Veh3wl0g2I6GcFWUcVEvLLCYr3nUyyzUzfdHfMHdrr2l8eX8F+OvgcK4JLRCEbCMnKmcyCnaNg0T96KZQ2bhTJ+62/+CYJAahbKWcuXq8O2E2EsZxRIooBLRiNYzSp2fub8bAIP3T6PX/7T4yi4jEir7cfv/d27SIRF5BUz5EcAYADpgopkRKqo9gYwr3BJ07F3LOr5WQ8eOWG3HCBgZbjX82UcPbnS9LzppMzt1HvXW5+8IMDORtUNpPPlptMsvDAoxfPfXcYffGsRmRJ7v/fNJPG//suDuHwmWffa0+s55BQNBAQSATTKChmVVKNu/pebB267HH/+6hmczyh2GOFEPIRUVEamVMRkImy37ACYTHT2L3vi6HswKIUkEChmyKEAirVcGXNTCV/7TVbRMB6TsZYv22MYCYso6Y2NKVkkKKos6oAQ5nAzKCCCVvSCnEqEMJkIYz2vYCOvIhGurnLpxC0DUlEZiqajUNbbKlRXT7b0q37a65ziQWPHGmlA+xVzWp1s3QwZ87rHdj3OjQhyETrHb5XktciVt5VMAmZoGFaIlelFs6IWqCmsa4VYuGPfP3XkBOsPpRuQBAFjMRkP3T5fc5x+Tpm8jBxZEHAxq1S0QWj2u+pWH5V+Ffqd4H2zSTx9302eJbFrPZ90vox0oTosBmBG338++h6+9sYSAODKXSl87sevwi/96XGkIuy913KK7cXWDAqDoiIEsVahHNksSW1RKGvYPxFDQTUgiwT7J+P2nLDmcDy83eTaiSyy07WyRisMPFkgiIUlHJxOVn0fyYgErcA83+7POjw/jalEGLmSBp1ShEQBU8kwRKG1vLRObvCdeu9B7HPE6SyqbmCzoCKnaJ75Ts3y3koOX3xxAf90IQOAre+P3bIf/+rqS2oW+agcDxuDIBAQEAjUzOcmwHQy0pSO8rmfuNqzNP3+iVjdHMwnjy1CM1g4NnHEShp0OxLGz36TDEtY2Cqx9zFP+POqgYPTiYZF4S6fSeHUWs4+7TNgpkvIotnSRDMr3WqIyGJVg+1aJ31eMiAkiXj0J6tP85rB630zRRWyQLCaVbCWVTA7EmkrpDJouDxsDqHxS4YX6+Tjlsdewr1PvYKjJ1eauv7+Q3NQdYpCmQlaPx4nS9Fy57g0+9lBjD9InGNJ5xVkimpT34sf3N+3dVgREgVEZNEurACwHB2dVUmAAJglytlrpxIhPP/mcs3v7vD8ND5/9zW4dt8Ydo1Ece2+MXy+Qa6W0wCzmmZbCrbF2XSh6hRiJhVueg65OTw/jUfuvMo++ZlORhrmDsxNxmFQMwQElDUfpuzntdg7xjZZJ/0g9DuJe86t5Uo4ly7iHbOYyNGTKzAMiuWtUk0Drajq+N+ee8s20A5dPonf/amrMRoLYVcqipJqIF/WWN6HCSHA+c0SNN2wlRKvOTbmaCfhnD8P33FFzTlhVT8TXMqbVWAEYHmZyYiMuakE5mdT2DUaxcHppKfMC0kiPn74sprzL6toODDN3mduKoFkRK5QtpqRY63IXL843ztTLGNhJYvT6wVsFsptydbD89O4+7rdWM0qeHs5i9Wsgruv281P0HYgFMwZcy5dRLaktm2gFcoa/vPRd3H/n7xuG2i3XTGNP/rZG3HXB3f7MtAAICQJdsl6ECZ/ZIFgIh7C0/fd1PRcjckCzqWLWFjJISQKeOTOq/DwHVfUXbtn0wWERQHWV2JFLRqUGZFvnd/C+c1iw/3G/k4pKkLA/XzX9x+aQ0gSMTsSwftmkhDMPFurGqWz+JqV1yuS7Qbb7j3fopU92g/u9w2Jgh0RMZsKQzMozqWLyBTLgcpKoHX9s1PfxbCyY0/SgsivaSVkMqiQsX7KD/Lq+UERfM85dyVEgJ2OOTci95bklNeqTqEbOkRCsZor49KJWN3CJkGHvnp56iVRwOXTCYzGQm2FoDY73odun2/6tHAnesCca3xhJWuXgZ5MhLGSLeEzz76JB249iB+8dMzz+o18Gb/5tTfxvYtZAMD/fP0e/MKhObvAxj037MWXX1rAek6xr2H9cpgX+GJGwbX72Ht7zbHJRBiabmA6GfGcP15zYmEli4KiwTAqjUKmpAEhkcCgFAsrWag6y+OgpoMDAB658ypPmVfrhL7eCVWzciyIMHU37kIFOUXDhUwJsiBgz2gEZd1oS7YGURyIMxyUNaOqmFArUEpxbGENT/zdu1jLMefQvvEYPvHhA7a88IskCDg4ncTZdB6Z4na+WCou16286IVzPR+cTqCo6vZe3Wjt7h2LQTcMrOdUGFVn/MxY2yiomE2FKj7PHZWUK+sYi0lYz6uOkEvZHke9a71SH+Lh7cJkzuJrLNeW5ewadDudYquGs65Toc3uaCPLYGQQuyrvdfvGAovaalf/5GHe/tmxRlpQxlInlHk/tDr+ToRaeo0FAEZjoUB7zh09uYI/fuX7KGsGCFixAp0CZU2HJBI71JFg2+PlFvUGBTKKAcExziByq/yESt1/aA6fOnICS2nWlFQSWOJ0o1O6TmCdFrZbQXQnFDqw1rg79DEsiShrBv70H854Gmmn1/P49b/6Li5mFAgE+NVbD+CuD+4GsF3u+kKmiLgswqDULPVslaxnp5wapbh5bhz3PvUKC1/JKZhJRiqazx+cSfmuznr05ArrJUhZWWrVDK+0nBm6QRGTBRCBoFjW7dw6UQDShTLbiO+8quLzGuVi1jPuW5FjQW7wXg4m1tg+bPdNBKorwjbDTsrl5HSepc0ifu8bC/j26TQAlhP6b2/6AfzU9XsqqsD6IRGWMJkI45cPX4bPPvcWZkekthxwjeZ6vbVryYmJBCt+ongcfBEA3zi5CqC2oQDDQLqg2Y4uSoF0QcOBqe3cYue1IgHeOJvGz3/1NVw+zfJoLfnmLr6WikpYyZaRjEjIFFUomgGdApLjRE0zqK98207oYm79MhVlfeW2impTFbwbwWVa99ixRlqv8muCyntoZfydOn3r1nf52AsnkS6oEAUCyQyLMMzkYs1g5X9nEiI0Cjum3Il9WgCAuo7c2h2v31MmRdVZrDsFDGpAUXV859xmT8rat6Ls7mQPmHOea7oB3aCIyAKWM8Wq175xJo3PPvcW8oqOiCTgM//qStx82QSAynLXqYgETacQBQFTcRkhUcRaTrG9tNPxMI4cX4IsEsymwljaLGFpswhgu6l0sxVpx2Iy1vNlCESALBi2oSYLBAfMpq1l3cDyVgmEULNMP0W2pGF2RKrYiL1kyqeOnEBYJFjNsxODuck47r5ut2fBok8/+2ZP8xy9lA3doNgqqBVGWjtj2km5nJzOUdYM/NmrZ/Gn3z6Dspm8etPcOH711gPYNRJtcHUlAiGYSITsE6KgHHDtzPWKMQgFFNJMrjq3agrYRVZqGQoXciycsmzQil5nzrYD1rWscm0JApixdmotX6ETub+XSycSuPcGVnxtYSWLolaGQABJYvoIAUE8JOKBZ95AKirX3M87pYt1qygHl2ndY8caab2qMBNUyFgr4++U96Nb3+XiWp5VJCTbFQllsz/T9z53BwDWmHoyKtsVpL67tLX9BtTRXNPlpWt3vH42ucdeOGkWc3AkNJd1/N7fvYt947VDL7vJTuuD1gx7x2K4mCkiJIl2qGBJNTCbqlSQvv5PF/H5v/0eNINiPB7Cf/iJ91dUV3vm1bOQBIJoSIQsCIjIBGOqjo28ij1jUkXxjZgsQDWovbYIIVjeaj185Wy6gMkEa4zNjEGCeEhAVBbw2md+BMB2c3fLUGSfywy3qCxiYSVrn5y5G8rrBsWGWVVNNsuvLqzksPbK9z1PjHtd6ctL2bCqVTppZ0y9vkfO4HP8+2l86RsLOGcaLlOJMH7l1gO45cBEVc+zRkRkEVPJcNWpWxAOuHbnunMMl/3Gf7Pzym3otrFVy1Aoqbrdp41YVhqAVUdIuXXtqa08BBCzkjOTX85iTe4xWVih3dd/7usoKBpUgxVFSoQlbOTLoGDhp7X282Z1Mb/7crdSErhM6x47tnBIJxPQ6xFU0mQr4/cqXBGE96Ob36VuUCiajpKqQ9H0qlLn7uIWVrqaYFZoCksiRIEpnUGP9/D8NJ6+7yZ866FbPZOtnUYmAUtI1s2k6HoFR7pFkEVthpGf+9ClrMiHooGC9bbRDIp7btgLgOWJ/PHL38d/fP4kNIPi0okYnvjpaysMtG8vbuCtC1u4sFXEuY2C7RWeTISRDItVciFX1ivWbDIi48B0AtPJcEsJ/db6SEW3i4LMjkRwcCZV9ZqQI4nfNRH8AQAAIABJREFUyklbzyvIljR7jhTKOtayZWRL7NRsNatAN0+rRUEw/xBkS5rnnO6VHHbfq5NkRIIkCIGNqdf3yBlcNvJlfO7/fRsPHvkOzqWLEAjwr6/fg//6szfghw5ONmWgEUIwEQ/jktFo02GRfglyrsdkNkbLqWrJIuvntQpZEcKMrogkIiKLiEgiBIHYp4/Oa8u6YRcosWRcMzrRwekkdo1G7aJIm4UyNINCNyhOreWh6dRzP29GF2tmX+5WUQ4u07rHjj1J62V+TRAeq1bG7+X9WMspKJR1u1Fjq0UruvFdTsVlnNva9oZZQntXfNub5vYkpSISNouaWZ7fMCtCEvz4NbNYzpTbakQd5D0urubshOTJRKgnYQM8zrw22ZKKAzNJPHDrQTzz6lksZ4qYTUVxzw17cePcODTdwH/6+oLdQPbafaP47R+7ConI9lqzwhwttUo3WHNnAJBE4plbtvdY6x5Lr/lqrY9Vs3y/orHTsruuucS+znpNKiphLVuGQdhCS0ZYJcmx2HZz77Ak2JXOkhHZDjF2FpWz+g15zele5znWKo398cP7AuknCfi7R36CzXGiGxTPnTiPP3QUyXr/JSl88raDFe02/BKSBEwnI6yKY4AcPbmCR59/2+6vWS+0uVnev3sUJ5e3sFXUtvudRSXMz44AqH1qFJUJFI3avc4sPSHkaKxqXSsKLJSbgL1uKhluKF+dazUZZvleAJNxilmhVxasUMoiLhmJVMm+Zk6imt2Xu5GS0Gu5vZMYGiOtlU1u0PNrmh2/W6it5RQzST7UdKid1/cdZGKqF8loCGJGgQHYFUIE8+cWbuFxxa4RzKZC+MbJVeTLOuIh1j/m6j2jePLYokcNKW+CiCHfPxHDwkoOqq7DEYUBgDX4FQkT7EubJRyYql0Kv1PwOPNqKGWNl62KbDfOjePGucoeezlFw28/9xZeP7MJAPjRq2bwQwcm8dln38KFTBG7TGPumVfPQtUNVtjGAAhhBWwuZkt2LyI3jcJXasm9mvP1zqtw93W78cTR96AZBsKigJGYXFFt0LmGVD2LsmYgJBLsn0wgv7SJTFHFer6MkCggHhJRLhooaTooZXNYBa0I0aCUVZCrpfj0Ug7XUzaC7CdZ7x77qVIvp7Msrubwa392wnbueHFyOYMvvbiAdy7mAACpiIT7D83hR98/a4f6N8NYLITRmNx0WGQjjp5cqWhUD9QPba71HrX0Nkv2jcfDnrKv1tp98tgi3r6whUxp27hLRaSKaAHr2keffxsLqznIhGB2hPVvrHci5FVoiFXjJTiXVuw2JpJ1UmkAF7MKrt1bWViqmbDEft2Xm5Hb3AnVOkNhpPFNzh9uoVYo65hOhuwE+WYqRPbi+84qGvaMRbGWK1ecOlkhY877DHr8QZwyfeQDu/DFFxeqfm7Fz9tWG0XgG6ofeJx5JbpBcTFTQskVUuPkYqaEX/+r7+K06Un+d//8B/C+6SQe/7t37cIg63kFX35pAVtFBWWNQiQCZIE1rNYBEN2oGZJSz4ioN4/rzVcA2DMWrXjO7rnstYaOnlzB/X/yOgzKGldrBsVmUUMiLEI3gK2iiv2TcZxLF1BUDegGO1UzKDAWk/s2FKbXzjp+gr1zEAViy4NP4GCFoZYtqfi//v40/p8T523n4Uc+MItf+KE5jLiUdD/IZuP4iCusLiiePLaInKJBNMMLAYBQaoc2+3H01tuH/ZzWeK3d75zbxLdPb0AUCGTC5E9W0XGzyyi2rrUMiHPpQsPG3bUqWY/Fw8iVdYgEuLClwKDmKR4oNB1Vsq+Zk6hB35e5ft4eQ2Gk8U3OP06hZhUIcOLHQ9Or73vvWAyn13MVPyvrRtO9XFoZfxDerJcXNzA7Eq7oRVNSdUgCgSQQ+2ezqXCV4dkJ3N6tm+fGceT40o7qg1YLSmG3SqjFwsUsfuNrb2I9X4YkEDz4I5fjR66axa/92QlWGMRUjqKyiJKmo6Qy40YQCAQQSCKgGawYR71141YmPv3sm9h7LIbNQrlqHq/lSnjgmTeQL+sIiwTTqYhdwc2arxRoed1blSGpwcIYDVAUygae/Dc/WFHx0RkCdXAqjodun+eyuAb96inndAZLtj7z6lncODcOSilefHsF/+c330O6sF0R9ZO3HcT7d4+09BnJiIyJeKiqYX2QnE0XoBvs9NyiXmizGz/7cCsOlJcXNzASkbBZVKGaJ2mjURkvL254no438xn11qplTF0yGsFq1qzQSwgum4rXff9G0TyD3p+U6+ftMRRGGt/kWqOWhyYRlur2PfLzfXfiePvmuXF8+/SGWXyDGWgr2TLuvcE7bKQWrcyXILxZZ9MFTMQr+y8truZQ0nRc7sgzKJQ1TCcjXm8RGF7erSPHlwLLJxh0WL+b2gbaK4vreORv/gkl1UA8LOK377wK15lNZC9kikg5ctEEgSAZNv9Pse1lpez/fvJEvJ7X6fUCJmIylrdKtkKg6gYIIYiYuWLnN0u4ZJQpbc75Wm8u11q71ZUhDTPRXmjo3ebUZtA95ZzmsVp3nFkv4EvfWMA/nmWh0lFZxL/70KX4yWt325VVnT0VdznyYL0QCMFkMoxEuPOq3d6xGNZyiu2wARqHNjvplN62sJJFtqRVVFHOljQsrGSrXtusnlJvrVrGlCySigq9D90+7/m5fk+XBj3/i+vn7TEURhrf5FrDy0OTKaqgYEpqLeHR6Pvu1PH2y4sbmEqE7B5oIZE1g67lIatFK/MlCG+W1+cmIxK0Au26l+zJY4soazrWc9XfZadzCwed506cx+PfWIBBgelkGP/xJz+A/ZPbOYS7UlGs5xVEZVZVTBKI7fyIh8WKk9RUXPZ1EuzljRQJsJIrIyyxCoqKynoGhkWCyUQY57eKoKBYyZSqci1qzeV6a9eav6mobDfTDsqhsJNzFgbdU85pnkJZB6XAx776GjSzQvGhyyfx8cMHMJXcbrrs7qlYK1QS6FxxkFrcf2jOzkmj5j00E9rcKb2trBksX93RqscgtKK6I9CanlJvrTZjTHWzGEivZSvXz9tjKIy0YdzkvBYWgEAXm5dQkQVS0ZfJS3hYwnlps8jCHQSCkEAgCwS3PPYSMkUVsdB276SgjrctT/6UQymklDbtkfEzX7y+/0fuvKotb1YnK8k1K4jfuZhBpqSZTTxZwZL1fBmanmnqc3cSBqX4yrdO4ZlXzwIAJIFgKhHGakapMNLuuWEvvvzSAhRdR1KSsZ5XsJFXERKJXR1xMhGuMo7qPT8vb6TVq01xKR9WOTOBsLLTqk4hCwSf+eiV9nvWUibufeqVmspDp+TsTs9ZGHRPOac5NgplpPMqdHOd7hqJ4IEPH8A/2z9R9Vq7p6IjdNoZKmkxGgthzKM4SBAKeq33ODw/jS/cfU3Loc3tyhOvcP2XFzeQUzRWst/QIZltRHSDouiqYu1saH1qK2/3hXz0+bdrjr/RWvVrTHXrdKkfZOsw6ufdZCiMtMPz07j73Ca+YpartSr4BTEJe+GF8FpYDx45AQIgFZUDXWxuoeI3T03VDdtzr+kUCoDNoorJRBgXtoooqjrCkmh73IMQQEF5ZBoJ2nqV8do5Zar1uQA7JfRbadJNK4JY1VmJYh0U1GzyTQCU9VZHMdwoqo5HX/gevvnOKgAWrrR7NIJMSa3ybN84N45fD8/j6W+ftUNvLMPMMtg03cDBmVTFyVa95+ee+5miCq3Go1J0irPpAlNUwJ7rer5c8ZpaysTZdAEiYWG4hbJuz8nFtTxunhtv21HhBc9Z4CGiO4WyZmAtx9aiLBLcc8Ne/PSN+xCuUdzDHToNbIdKsveoXRwkCAXdT3GPVuetH+dEveq1Dx45gZyisQJPW0X8w6l1zKTCiEgCFM2ATgFDNyALBKCARimWt4pYyyr41JETMChFIizh3GYJhkFtXeadlRyOnlypa6i1u1a7dbrUK9nqfm48jaJ1hsJIO3pyBUeOL2EqGcY+01J3lpRu53174YXwWlhLm0UYBkWhrG+HSkWlwBebH+Hx2AsnkVd0hCQW820Za+mCiqlkBBFJRFk3sJZTbCMtCAEUpEemnqDtpGBzf24Qc6zV8erUUVCSArUzsIKn1yEYzbBVUPHpZ9/EW+fZKWMiLGJXKgJCCKIyqjzbY7EQ7vzgbtz5wd2496lXKtbTZCKCWEjCdDJiG/z3PvUKVL0y9NS9tt1z/2K2ZI+PoDr53OrxTsB6sKULKh574WTD7zgZlrCwkrOVFgtKgS+/9C4+ceuBwMNh+ylnYZDmJWfwsNbUtftG8YkPH8S+8fp7ojN02qKkGphNRZGKyhiP1S4OEsQ+1mklv94+7N4bT63lcP+fvI5kREJe0VDWDEiCAJEQKDqTV+m8itmRCM5vliCAIiQKUHUDBphRLAoElDJdJSQJyJZK0M0+ada3aFD4kpXt0Kwu06pc6oVsrZXv3omm2juBoTDSOiVIWJ+g+sqTF4+/+E7Vqd4Dt13u+3O9Fpaqsy72hGyXv17LlqHq28mwQSgYfoTH4lreLN5RuTlYMd9TyTCW0kUomgFKaWDH290KC/Ir2Px8341eE8TcbVUQiwJTvq2TtA4WAqugH0Iw/HIuXcCv/9WbWNosggCIh0XMpsIVYUVOz/ZEIlxRLtvPs1lYyWKroEIQmBJR1g1c2FJwMaPg3qde8cx3oHTbOKt39imLLF9NNwwsruWrfu+en9ki8/K7DXYCNj++8venmpJltT7HuQ7a8SoHaVQFOS+5scfxQhQIfvMjV+DW+SlfbVas0OmiqiMiCyipBnSD4pd+eA6TiXDda4NQ0Lut5Dt1JwCISMx8KmmG3Zy6oGgomY5hQ2eSypKBimYgGZFxySiwkinZ10kCK2gCsL2OEgpVM6A6vVnmPyUBFbKynbVcL1TUry7TjlzqRT4Yj4wIlqEw0jpZJcipPHkZRm4ef/EdfPmldyEQttiLqo4vv/QuAPhWbrwWFnXkmQDVybBBKRithI7alepMkhEZk0kdeUXHVlEN1JjqRliQH8HmDrdYyyl48MgJfMHRxNPPMwli7rYiiGWRQCDsj/X8DFCExM5baoMixN9c2sKn//pNZEoaQpKA37hjHn/9xnnTs739upJqYHYkiulUpKqqmp9n40x01w0KzRFy6hVeBLDTt9dOr0Otc/xpNVathdf8vJBVMB6TsZpTK94HYEaapTw1Q6N14HQMabqBC1sllHWKMxsF3P7Fb+LhO64IXHnxIqh5OUhOCE532T8Rx4ev8D8HbpwbxydwEM+8ehbLmSJ2j8bw8cOX4dYrZxpeG4SC3k0l3607KRpFvkwhYNsZRSlQ0gzbKKMwK0u6PFXJiAxRIJhORnD8TNrWn5wIZh81Tadmb1LLkNt+ba3Uk6lEGFlFq2u0BRUq2o5c8qofkAhL+MxHr2z4ua3ST5ERw0B3ygB1mL1jMRRdDWeDrhJEwBRaEFRVCXLylb8/ZQoZAQIRzL/Zz/1y/6E5qDqr+Eep9Tc7+TAMCkqpXTTAUqqdC5kQ9rcsErt5rV+coaNXzCYxlQzjyPElHD25Yr9m/0QMBt0ei2U4SgLs8cqiiMfvuRbfeuhWPH3fTX2vnBw9uYJ7n3oFtzz2EtJ5BZmiWvH9u08CH33+bbOqFSASAmoAmwUVjz7/tv0aP88kiLnrNV8anVxePpPCRDwESSTQKYUkEkzEQ5hMhO3v4d6nXql47kFxNl2oCN8B+k+IZ0sq/v1fnECmpGEkKuN3f+pqHLp8CvfcsBeawU6HKdjfmunZ9ip77efZyOYaNgwKVTcq9I1a6/j+Q3Pbda9dOH9qyQqDsnXr5NHn38ZKtoQzGwWcWstD0ylkQUBW0Svfw/zboEA81Hxj3Ebr4PD8NB658yrIAsHZdBFlnXm+CYB3V/N48MgJz3kYlMyzCGpeBj0uzvDQSt+yG+fG8aV7Poiv/9oP4y9/+Z/7MtCA1vaFTryHX9y6k4WlbTm/uYpv0WV/ucfp1lec8vCyyTgrfCYKCIkCCFAhK91rWdMpNgsqTq3lKwyvTsqns+kCNN3A4moOJ5czWFzN+e5FBwBlVbcLSJU1A2W1eUdbM3RKH9+pDIWR1ilB4lSevAwjL/JlvSpsrFkPtKW0TCcj2CqqmE5G8L6ZBKYS4Sql+uBMCkB3FYyH77gCozEZRIA9llRYxGVTCXu8nYo/dhpT9z71Ch5/8Z22jYqjJ1fwqSMn8MaZNJa3iji9XoCi6giJQs37ObVeYCGfAgEhxNx8Kb63krPHsrCSbfhMgpi7XvOl0fd//6E5hCQRsyMRvG8midmRCDSDVXhcyZYabkDtMAhC/MJWCapOsWcsit+/91pcdQlrKnvj3Dg+cetBTMTDyJY0TCbC+O0fuwo/+v5dnu9T79lYczmn6IDVOw1MXkgEFRXd3Ov48Pw0RqIywiKxFRYCQBa2i8CIAoGiGVB0AwDFRz7Axnj05Apu/+I3cfJiDopqsKR6neL8VhHJiIiyZlSFUFKwCmkfu2V/09+lH9l0eH4aY/EwQqKAsCRAFkWIZr5JTtE8FZugjf2g5uUgOCE4/c23Fzfwa392Avf+wSt48C9O4N2VrN2U3i+t7AtBvId7j/a7f3jpThZOfxQxoz8srOJIBKzirnucD99xBWKyANUwUNIMqIaBmCzg4TuuqNJliACMxmQ8fMcVAKrX8lpOgUDM1zYwvIKSA4mQiKXNEjSd2pWYlzZLvhxmjz7/NgqqAVkQEJEEyIKAgmpUOJP94ve5dtOw3wkMRbhjp3KVLp9J4dRaztWXS8b+ydp9jeIhlsflFDateKBrFZiYHZE8c8WCCktwVnez7nkyEapSqL5w9zVtf9/Nxnq7wwdOr+fw7dOsd9pkItxyWNFjL5xEuqBCFIhdsrdgxpF966Fbfb2HblBYB6yWgcMaaioVzavdz6SdCldOmg0D9frckMgaIHc6DHFQSvJ+YHcKj9z1/oocM4AZajfOjUMSBMyMsObO9fB6Ns65PJsKY2mzhLJm2J5cCiBmyoxa6/jgdNJe89mSiuUtloNBCDARl7FV0iAKBGGJ9cA7cnwJAHDk+BJWsiXbuNMMysJfQZBVdMiiUF3WH0BMFlrKR/Mrm86mC9AMA5K47TskhK0tL8Um6FCsoOYl7wvEaQdnb7SxqIzNQhmP/M3bkAShaTkcRHpAM+/RTnigW3cSyHYBJGfqWEQSoBvsVEiWBBiU2n0+908mPAsbhWQRIYNutwwyjadGuox7LZd1JqNDDhnlNLyce3WmqEI3jLr7vx/s3EVndRMKXzmNTmcyey+AGtRumeCXndR8u98YCiMN6EyukrVp1zKMvPjYLfvx5ZfehWYYtpAxKFryQDtpNPGDUjCs6m6iIw9vabOEg9Pehqnlcf/Ouc22DC4/BpY7NjtT1CAQIFvSMJWMtGxUuAuhEAJo1MDJi9mKvirO95ybjGNhJQdinoCoBlNqI5Jge9jGYjI28ipiofrzp5kKV0EXM3BuaH7bL7TLIAjxZFjC5+++pmZjWEkQsGs0AlmsH4xQy8B2z+VCWcdqbrtMPgWwmitj1WxWfdc1l1S9t3PNU0qhGRSSQLB7NIKLGQWUArtHoxWNp7/y96cwlQxDN19rNdLVDIP9XwcIKETCqn86yZWNuqWpa+GWTVYbgs1CuaIwyt6xGNayil3IBoAZ5k08FZugjf2g5uWgOCE4/ckzr56FLBIkwzLLm5LEvsvZrSfXytp2sTWBEKiagVxJw4HpRN39y607WWlkAmFRTZpBoRuAQCj2TcaxmlMwEpUbrrEnjy1iJCpj10jU/pnz+6y3/7rXsiiwkyxnw3HL8HLv1ZpuYCXLZPpEPNyyHMgqGnaPRrCWK9uO85GIhMW1fE39JGjabb5tncLxQkrNMzRGWidoZdO2PM3tVHesN55anx2UgmEn2Dozc50/h3dp3G+f3sB0MoSJuL8TrVaSYd0JqWwTYH9bBGFUaLphK6i1DKOHbp/Hp46cQLbEih1YOYMzqW2v2WQiDE03MJ2MtPxMulnMoJsnAN0oANMOu0ajNQ00WRSwayRSceLjRb3v3D2XC2XdNozcBlIsJHi2FHGu+eNn0pBEgplkBKmojPNbJQgEFW0worKIfFnHPllESBRYDppIoBkGDMqcFJdNxbG4lrfzbonDc0vNz2rFm2+N0903zvmd3H9oDp86cgLpggpK2BdgUGA0LHsqNp0w9oM6eeh3JwSnf7mYLWE8Jlfkr/VTuGw9ufbOxQwyJQ0CCCuNb4ZOl3XDdl7W2r/cupMgEERlFtlS1g1EJBGpqIRLJ9hpmWUoNlpj7RSycK/lS8djWM+XzVL+lZWr3Xv1VJLpAnlFhyS0XkDN2pfnppijPFtScS5dhOTDcet2JlPz0ODgVLypMbTzHfJCSu3BjbQGtLJpP3Db5RVGWStehFbKvgahYOTKepXXZjYRrsipcwujbImdaGWKmt0HqlmDC2i86N1GhBWe5ww9aMWo2D8Rw7ureRCzxK91uuA8FXPfz+H5aXzeESaxVVQRC20377bGcnAm1VZfqaAqJfkx9vgJQGNCkoBdI9G6VRMt6n3nXmE0hqOsvsM2Qlmjdt5DrTBX6xTUCoGx+gM5HRhFVbdDiiYTYZzfKkIAgSSwokjTqQgeun0ej71wEm8vOyrYmgZaWCQN510juZUtaSAECEti1dp6+r6b8Pm7r8FjL5y0S2AfmIzVrO7ovP9+o1/HxelfCCGYSIRw6UTclA3t7Wudop5cU03vUr0CKfX2L6fudMtjL0EksJt/A0yuWdf6XWN+nY/1yuV7pR+4jcNPP/tm1V49mQhjq6j6Tpvwwr0vL2+xHpkzyUhDw9ftTJYEAWMxGQ/dPt/UGNpx4A5KNed+hRtpHcC52JNhyT6W9+tF6KbnwS2YEiERqkFtrw0ArOVKyCu6fbS+sJLFrOPEqJUTrVYWvVtYpaISVrJlJCNSW/3YHr7jiopy+hTsNGN2ZPseaxVvsJ6H9cyCNnCCzDVsZOzxE4D6RGQRs6mI7wpt9b7z37nr/VVhNKpOIVshiI5wn3xZx/JWCVuFssenMNzzZCoZtr2tzrXxsVv248jxJcgiwSUjEVzMKtB04LKpOB66fd5+1r/wx69B1andj00SCMYTobrzzloDZU1HtqRheauE42fS+Mj7Z/D6mS3IIuvXJhCC81usr1zKDFdyzsPRWAhTyfr5KxzOMBGWRUwlwghJQtecZZ1okBySBBTLOgzz5MbyOjnzp/zuX82mXtTCz/dZT+cCUDdNwKLdvdpvTzUKYPdopMIhXEvfcjuTexHCzUvytwc30gLGvdjfXclBMyjiIQkkVN/rYeHX89CKkHVekwiJWM+XkXIYkJmiakc6WvkjK9kyphKhmgUxQqKAkqaDUuDkcsZu+n3pRG1h2sqirwo9mEjg3hvG8fLiRlsCyJ08vFVUIQkEq1kFS5tFX/fTKQOn28UM+AmAN/GwhOlk2FeytoXXd76eV7BV1HD/n7wO3SzYEQ9LuHQ8hvfM0yPiSJgHYDtANIPWzAnzyp0Yi8mYiIeqehVevWfUnqfX7h2rmqeH56fxq//iAJ44+h40w0BYFDASkyGLYt15Z+WjrObKrCIu2Kn0X//jBcykwhiJRhCWRGgGBaHboZjWPHz8xXcqPlM3DB4Wwxl6RmMhjMW2T8E7tZc02vuDapB8ej2HTJHlpIXNE31ZrA4PdI/JrcP4Sb3wc697x2K4+7rddfWEWjqXXR3RYbx96sgJTMRDyJX1ijG3s1c301Pt3qdewUq2VHF9PWOw1yHcvJBSe3AjLWDci12n1DM3pJ4XwY/noZUqSlUG5GoOmk4RD2+X2weY0TUaYxUd84qOqUTIjq/2KogRkgjyZXb6ZCmUK9ky7r1hvOY9trrovQTOA3Wv8IfzfZ1NNf3eT62xBTEuXsygtyQjckWiuF+8CmZczCgABSSRQCCww4MevuMKfOfcJp44+h7cBfAFAhAQjMfluona7nnymY9e6Sup24ur94xi/0QMp9YL0CkwGg1VnLR5cTZdQLqgQjeouxAZ0gUVU8kIppJhnN8sAaAo69vlmW+eG2f3TilkUYBOgfWciolEa3lwHE6/IwkCplNhROTq6rBB7yV+9v5mGiTX20vcxdYyRdXTWdTIMPGTeuHnXleyJRw5vlS3dUAtnWthJYc9Y9Ftfc6gSBdUZBUNB6YSVSdu8ZBoh2rvn6gtg900ExLYq7281TnJdY/24EZawLgXe63ckHpeBD+eB/eitposuqso3X1uEy8vbtglYWMhESNRZnDpBjMgV7OK3YMlKovYKqp4/pOHAHhX/HMXxNANYDQqsWaJdqsCCS8vbtQ1oPr11OblRVbWv7L1QuP76RS99oTtZEZjIYzHQ01d4w53ppRiq6gir7DiIIIobFcSNajdB+zp+26yT7n+4dS6/X5hScRUMoxEWKrr3AlqPTmVnIPTCRRV3Vefx71jMZxLszDGCgsNsEv6JyMyLhkFlrdKoACmkxE76d6qOEnA+iAZoNgqqDgn8LAYznARD0uYTIR95bYGgbvqoqZ77/2tFNNw7yV+nUWNDBN3wQyAVWWcTkaq3quZ9/Wils5lfS8Wq1mzT5pBK4xb54mbJTOtNj5+aCYkcND28kEbb78xtEZaq/HW7eKVG3J2g8URn1zOQBQIEmEJn/nolTXfw4/nwd3PzPJe62b8dywkYTVbwhNH38OesShGozIubBVRVHWEJVbgwo8BWUt4OQtiuIsWACwkYVBjjs+mC5hMhO3TQ4Ddz8LFzECXke1Xo7hfmYiHMRLz30D26MkVPPr821hYzUEWBMykwijrBlSd4qd+cA+eOPoeVAMQKEvgFgVS1QfMekZWSItz3RXKWqAhIn7bA/j1st9/aA4vL24bl5aBZlWrdIZiTqcqm+J++tk3EZZYxUm7LRABFN3YkWExvdq/OJ0Cs9GCAAAeSklEQVRnMhnG8dPprj5fd9VFDRQ63TZEABbtUyjrvsq619tL/O4zjQyT+w/N4cEjJ7C0WbT7mzXSnfy8rxe1dK65yTiKql5Z4MkM5bZSO1gfWaXixK3Z4hjNhgQO2l4+aOPtJ+rXkB5QLE/wSrZUcYxeq0N6kLi7rSuabheioJSVSWvkOzs8P41H7rwK08kItooqppORqqN6dxd6gzJFyPlAsyUNmsGaExNCEDGb7q7lFADsRMyggEhIzc7wfrrH7x2LVQh7ILiYY79d7oPE637Wcgqyit6TOcXpPpJImjbQPvvcWzi9UWDrCcCFLQW6QaHqOp44+h4IMfPoKaCajpVafcD8rLtWOXpyBXd86Rh+/quv4Y2zaYgEFfP5bLpQ4T0G/HnZD89PY88oc2xYaSPMECXYMxKuK8/2jsWQjEgwQJkSRKl5sibsuLCYXu5fnM4SEgUcP53u+vN1Vl0khFT0d6SUYjVbwmqujHhY7NqY/OgNBGDVZX3qTn7f14nlECmUNaxmFSxvFW0Z9dDt8xVyGJQZtwIxjV2dFTMxDNqSzLTopLznDDZDeZLWy5Kf7qPdvKJjOll5KuNnLI08D+4u9FYPDOdplqKxxF2LqWQYS+ki611CKeuzEZMxZZaJ9TqGrnVUDcA+VUqGJWwVVQBoK+bY7T2+eW7crkTXzf4aXl61dEFFPMTK31ohkGFJwAPPvIFUVObe7iFDbKJACLAtc3SDOU0IITBAsZpVbINj92gUS5tFu8WDalZFJRRYWMlWNHbuRIiI86TPMNhBl25QnNkoYioRQjIqe7YHAKqVnFonPZ/78Q9UVEq1vN+f+4mrG57Cffa5tzARZ2HGimZAFAg+fviyHbemeMnq4YWQ3jxfd9VFQqwccoKtoopCWcdIREKmqGEtV7aLZXVyTI0ihp48tmhXdtQpsf9da0yWTHL3YqynjzhDu2dTkYrXeoVvypIIQ9VZmKojpFuWhIoTN6A5R3WQ8p6fwg8XQ2mk9brkp9PA8srpCmIs7i70VhUlzfRCF01B4jwNSEZkJCMqtkoa3l7O+m607TYYj55c2e69YRhYEwSEZQGyQGoae9Z1tYSHV7LvE0ffw3hctnPoOrmZNaoGtZpVWD84c6Mo6wZruEmAfeMx3qBxh2PJHKtJtKUIsf5n1GzEytbixUzJbvJKCHOeeDWBDzJE5OjJFTx45AQ28uWKypFWX7bVXBnRkHd7AK+KbPUS/q1KqQsXMyibHvwnjy0CqL02Opm30I7S0guFp9f7F6ez9OL5HpxOVlRdDIkCxuNhuzH09Z/7OrYKqr2/aQbFWrYMVc82fvMWabTm37mYwWZRtR1Kmq6jpOnQ9OpcL7exVVLzWM4oWM4oEAWCO6+ebSkvzhqnU5+zerfZxUxSYeQVzT4Ja9VRHYS871XjaG4Ydo6eGGmEkNMAsgB0ABql9HpCyDiAPwNwKYDTAP41pTTdyvt3suRns5OxU2PxSqq1+plZhtJd11yCI8eXKqrLbZU0TCVCtofpyPElXL1ntKkF9dgLJ5EuqBAFAkkUQCmQV3QQQmo2bWwkPLyEpW5QrGeVio2FxX+3v5k1KkfsrgZ19W/9LWB6HgFAN7Y3imarY3EGl1rr31qPVpNoGAAFO1UTCEEywuZ1KiojFZXt0JqpZLgrHvVHn38bmwW1wkADKqtbX8wouHbfWIXytLCSRVkz7GbaQGPFxhr7Z597CyMiQVQWayoLnd7c21FaeqXw8JLVw003n6+1vt65mEFO0TEelzERrz5dKmtGxf5GCGAQyn7eQeoZJkXVgNMeYyf/8CzIwRpps8IoRVW35RwxKzQ/951l7J98p8oh3azBXKuYycGZlF0AqZfFMXpxStsrOblT6GVO2r+glH6QUnq9+f+HAXyDUnoQwDfM/7dEp+J7W8kV6NRYvN5XFkU8fs+1+NZDt+Lp+27CA7ddXpHb5iynbxkWTuXLL4trebM8PavEJhBWTtwqPeuFU3h4fbZXHoxIgLIBO+/Oiv+Oh6pLFjeDdarwxtk0LmZKeGclh418uaJik/t7kUW2eVn5Mm5lF+De7mGn3vq31qNkNokmAssR3T8Zx8cPX4aQJFbJgJAktJXH0Azvruage01aEwJANQxbLh2eZ31/YiEJU8kwdo1E7ftdWMk2HHej9Q50J/fKzzg6cW078PyU4aZbz9e5vnaNRO3WOcuZUlVeaNX+ZsqKkNid6pNelGpUlPX6+cJKFmvZMjSjcm+mlLU6EAjwlb8/VXVds/lr9Z7d4flpPH3fTbb+1QsDpdl84iBy/nslJ3cK/RTueBeAw+a//wjAUQAPtfJGnYrvzRRVxMNiU+F3nQrj8fu+3Qi99EMjj5WXd9GWta6mS868u1Y88dapgmgm/6pmlYMzGwWIAvE8sbt8JoVTazm7LL9VOdkpELm3e7ip56V8+r6bKtbjtXvHcPMca7T+56+fqyjFb63VJ48tdsWjfvTkCho5xCUBuGwqUbF2nN5p6yQ7FZVQ1oyG+Rd+PNTusuBWq4sgvb7thJb1KuyQl6webrr1fN3yaioZQTwsYToZsSszW7j3N7YWZeyfTHi9dVegViy2189duE8Cq66hFJmSVlW5stkeXo2eXaOUjk6HBDZzShvUCRgPz+4svTLSKID/TgihAJ6klD4FYIZSegEAKKUXCCFtzd5OxPcub5VQLLMS9s30Fgkqt8RrkbuFbT2CCrPYPxHDu6t5EIPaBUsMChyYrF1YIBES6yp2XsJSp8B0IoR8Wbc3jpGIhMW1PG557CXPMEU/QubUeoGdBLp61BgUCDlO7A5Mxe3fWeOzmnSu5xWsZMtIRiQ7B5B7u4ebRpuRNeesMMHjZ9KIhQQoqoELW0VIgoCPH76sIuSmG00+nzy2iJBIUNYp3HoPATCTCiMkiXj4jisqrltYyXrmqURkoWH+hR9Z4y4LrmgGChnW8NtZRKUd2pF5vQw75CWrh5tuPN9mlGf3/tYpWdSMoSKZDlTnLk3Nn7uRRYKiCvsE0ImmGzBtOE89wW103Tw3jiePLeLTz77pOcZaz66e0QOgKyGBzRidQYVGDkp49qDmzfUq3PFDlNLrANwB4OOEkEN+LySE3EcIeY0Q8trq6mrnRojqY9ywJABmA0iLbk3GIEKDggqzePiOKzAak82QLgoiAKMx2VbyvMa6ni+bVaS8P9ur7cDl0wkkozLmphKYn01hKhnGRkEFIUzYnt4oIF1Q64Yp+sEp8ksa6xtHKa04sTs8P427r9uN1ayCt5ezyCs67rx6FvsnEzXLinMGi0aypVFojHPeFxRWVCddYJ5pWRRgUIonjr5nr1k/rTYa4Sdc5Wy6gF0jEUgejXMnEiHsn0x4fq7TO63rFKpuQDUoCqqBu6/bXXfcfmSNsyy4QVmlSauYSlChj+3IPB52yAmCbuosTpoJ5QtCFjWiWR3mwHQCojOKxoKgStZdPpPCRDwESSRwijkC2NV0p5NhTz3BGaZ4/6E5HDm+1JKeVS/sz+t3qq7jgWfeCLS9UDPPsdVWK24GQU4OcluTnpykUUrPm3+vEEK+BuBGABcJIbvMU7RdADy/PfPU7SkAuP7662snWQSA2xNlFQUoaXrXT0+C8HoEFWbhrODm9T5eYwVYj5jRWKjmZ3tVkXR6hZa3SgCAGTOnTjcoBNNobuZkc24yjoWVHIhZjth9smBtCqu5bWP86MkVHDm+hKlkGPtMD9XrZ7a4YTZENJItfkpGW/NeNXugAeyEloBAJExhqFU5rFn8hqtYns49Y1GsZhWUdQMiIdg/Gcfzn6ztH7O806qmQ3N+G5RWFdZx40fWOMuCax0qxNOOzONhh5wg6KbO4qSVUL5Ozu1mdZiHbp+3q0irugGdsjz1S0YiVbLOfRK4tFnAZlGz+1JOJ0KYTm23QaqlJ7SjZ9U7uaRAxe+yJRVr2TIogq8O7fc5BnUCNghycpDbmnTdSCOExAEIlNKs+e8fAWtF8RyAnwHwqPn3s90emxv3JE5FZSiajkJZr1tqvhN4CQBNN3D8TLoqzroeQQnieu9TS1htFdW6SqHXZzgXPwWwezRilzIPmW0Hyo4SUH6EjFP4O8v5hkSB9T8BoBlGRWWrQV7knGBotBk5531IFJDXmRfbMtYoBcKSUKEctBOC4XdOWgqMLDLDzFLWHrp9vu77W3kqK2bkgFUsKCwJtoe43lgbyRpnWXBFY+8vWhELCC6voR2Zx8MOOYNKvynPzeYuHZ6fxudNZ/DxM2nIhDlorf3fXVHWea/zsyP2vd771CtYyZYq3ruWntBOflUjo8f5u9WsAoOyyIHvXcx2JB+3Ec0a8fXodzk5yHlzvThJmwHwNTOUTALwf1NKXyCEvArgzwkhPw/gDICf6sHYKrj/0BwePHICS5vFisasj99zbdcnpFsAZEsqljZLrCF1n5U9DTJG2bn43cJ2MhHG0mYRkkDqnmx6KcKfd5wEXtgqsjArsARjS6l2VrYa5EXOCY56m5Fz3k8lwyisF+zwPcOgMECRjMhV4ZGt5in4nZO1lDVguyG9l4FobeICIWBRMQSUsr5u7cx9r7LglFKoZljSZCIMoD/zGjicQaKflOdW9AJr/FbRM2cKglsG1brXWnrcZz56ZSBjdH5OPaPH/TuDApLpmNJ0ivV8GZqe8XzvTuRT9ZsR30kGJW/Oi64baZTSRQDXePx8HcCHuz2eRhAAoEx5ByVV4dHdwi0AlrdKzKAwtj0xqWh3PTH1xupXKDppJIjc34EkEozGZEwlwjVPNmsqwndeZRddufepVxpWthrkRc7pDs75mQhLrOR1QQUoIIkEyYiMkCR6hkcC1SdhjdZDvTnZqMhQVUP6rIJPHTmBz999TUUo5iMAHnjmDeTLGiKSgKlkGMkI6/PWytx3rsddI1Gs5RRs5FWEJQE6NTAWk5GMSH2Z18Dh7FSCaAjfqFdbPZrdf919UFXd8KXHtXO61Mjocf6OEAIBFLLEcsIsR15Zr46G7WQfsn4y4jtJkKeG3aaXfdL6niePLSIVlXFwJokrdo3g4EwSqajck/4P7oRQ3TrxIZWV1xZWsl0fmxeVxm117q8bP4mdXkmxX7j7Gjz/yUM1e5P46eFx/6E5hCQRsyMRvG8midmRSIUybb2m35NjOb3FPT/fN5vCr912EP9sbgLj8eoCHfUSt/2sh1pz8ua58YbXWg3pKcAa0gNIF1Q89sLJqnt6/J5rsXs0htmRCBLh9gwo93qcSkawZyyKqy4ZwZP/5gd5IR4Op89op+hCM73a6tHM/use7+mNAvKKjtmRSEM9rt0CKs4iJG59xPm7sZgMkRAz5JHCMPWkkFStkvM+ZO3TjcI4naKf+qT1Hf0W4ub0elz9W3+LInS7LwghgEFoRR5Vr7CM29mRqP2zRvlbzeZ8+c2+9vMM/Rz776TQAE7reHkmH6jx2nreYT/rodacdF6bKapYyylQNAMPPPOGHartbEgPMPlBCfVsSB/k3K+3HneKV5fDGSTaycdupldbPZqRQe7PbLbAWDfkkDMf1+5BGZdx6UR1X7qz6QJEAiyu5uzXuvu4chozqPsLN9Lq0M8hbs6+IFavMqAyj6pV2o1/bsW49XNNK8f+fp+hnwXcqUU+qP07OO1RLwTjwSMnUFA0qAZFSGRhhomw5Jlv5p4rn372TYxGZWSKKs5vFVkfMgHIl7WKvj3N0OzcrzWn+1mmcjicaprdz51rfzWrYDYV9n1tPfzKIPd4GxUY68X+20xfukRIxLureYiE2Plr7j6unOGFhzvWoZ9D3Jx9QXRKIYkEE/EQDs6k2nrfIPpJNNOfpZlrWjn27+dnCAx2/w5Oe9QKwQDAyk6b+ZyaQXF+s4T1vOK7CXNR1bGWUyCAmE3bCSKSaK+X/RMxGJQ5eSilrLAJZY3q26XenO739cjhcCppZj93r31CgKXNErIlteG1nRrvZCIMg7ICHW6Z06v9t5nwO7tYCnH8cf6cM9RwI60O/RzH6iePqhX8GkL1mui2ooj5uaaV5ov9/AwBHm++k3F6cJ3hO08eW8RYjHmCqWFWHQXFRl5tqgmzohkAYfkO7qqMjRrSt0O9Od3v65HD4VTSzH7uXvszSdabzCp0tpYr4Vy6iHcuZgJr4NxovFaBsf2T8SqZ08v9t17+mpOsomH3aASSwHrDSgLB7tEIcorW8TFyeg8Pd2xAv8axdipHKoiww1bG5ueaVkOl+vUZAv2X98jpDvXW0Nl0AZOJMMKSiLWcYuchRGXB1zz2U5Xx8Hz9hvTt0GhO9/N65HA4lTSzn7vXPutpRrGcUbCcKSFb0jAWkzGZCHesbZDXeD/z0St9jRfov/3X0nvmprbz1QplDdPJSJ2rOMMCN9IGmE4oO34MIb9FDZodW6NrBrmMai14js7OpN4asuZEKipXNG5tZlO2qjJahmBUFqs84J0ylvic5nCGC7+ywmvtS6KA6/aNAahs6NxMAZJujrffZNUw6j0c//BwR04FnQo7DIJhDJXiOTo7k3prKKg50av1wuc0h7Mzqbf2e6U31GMQZNUw6j0c//CTNE4FnQw7DGp8wySceGn/nUm9NRTknOjFeuFzmsPZmdRb+3uP9d+p1aDIqmHTezj+IZT67TjVf1x//fX0tdde6/UwdhzOfBrn8Tv37nD6iLZKX3VatvA1xOEMJH0tV/oZLvM4nJrUlCv8JI3TNP3kfeI9xjiDSD+toU7A1yWHM7y0sr6HXeZxOJ2An6RxBhbumePUgXu8ewRfl5whZsfLFb6+OZzAqSlXeOEQzsDCe4xxOP0HX5cczvDC1zeH0z24kcYZWPqxWhSHs9Ph65LDGV74+uZwugc30jgDy96xGIqqXvGzXleL4nB2OnxdcjjDC1/fHE734IVDOF0j6GICvMkjh9NfHD25gnRewen1PGRBwEwqDEkU+LrkcIYEvu/WhhdM4gQNP0njdAUr2XglW8JoVMZKtoTPPvcWjp5cafk9eZNHDqd/sNa4alDsGY0CBDi3WUJIFPi65HCGBL7vetMJHYfD4SdpnK7gTDYGgFhIQqGs4clji20Jd97kkcPpD9xrPBUNoVDWMBoL8TXK4QwRfN+tplM6Dmdnw0/SOF2BJxtzOMMNX+McDmenwuUfpxNwI43TFXiyMYcz3PA1zuFwdipc/nE6ATfSOF3h/kNzUHWKQlkDpexvnmzM4QwPfI1zOJydCpd/nE7AjTROV+DJxhzOcMPXOIfD2alw+cfpBLxwCKdr8GRjDme44Wucw+HsVLj84wQNP0njcDgcDofD4XA4nD6CG2kcDofD4XA4HA6H00dwI43D4XA4HA6Hw+Fw+ghupHE4HA6Hw+FwOBxOH8GNNA6Hw+FwOBwOh8PpI7iRxuFwOBwOh8PhcDh9BDfSOBwOh8PhcDgcDqeP4EYah8PhcDgcDofD4fQR3EjjcDgcDofD4XA4nD6CG2kcDofD4XA4HA6H00cQSmmvx9AyhJBVAN9v8LJJAGtdGE6/wO93+Nlp99zK/a5RSm9v9QN9ypZeMixzYFjuAxiee+H3UZteyJVheR5u+H0NDsN4T0D/3FdNuTLQRpofCCGvUUqv7/U4ugW/3+Fnp93zTrtfPwzLdzIs9wEMz73w++gvhuU+3PD7GhyG8Z6AwbgvHu7I4XA4HA6Hw+FwOH0EN9I4HA6Hw+FwOBwOp4/YCUbaU70eQJfh9zv87LR73mn364dh+U6G5T6A4bkXfh/9xbDchxt+X4PDMN4TMAD3NfQ5aRwOh8PhcDgcDoczSOyEkzQOh8PhcDgcDofDGRiGwkgjhIwTQr5OCFkw/x6r8bo/JISsEELebOX6fqGJ+72dEPI9Qsi7hJCHHT//LULIEiHkH80/H+ne6P1Ta/yO3xNCyOPm779DCLnO77X9SJv3e5oQ8l3zeb7W3ZG3ho/7nSeEvEwIUQghDzZz7TAw6Ot8WNbvsKzLYVpvbd5L3zwTiybW+kDpMIMuw/yM0fH7gZBnboZFvjkZJlkHSunA/wHwfwB42Pz3wwAeq/G6QwCuA/BmK9f3yx8/4wUgAngPwByAEIATAK40f/dbAB7s9X00uMea43e85iMAngdAANwE4B/8Xttvf9q5X/N3pwFM9vo+Ar7faQA3APjfnfN1EJ9vi9/RwK7zYVm/w7Iuh2m9tXMv/fRMXGMaSh1mkGVYC3Ou7+VZkPdl/q4f19LQyDpK6XCcpAG4C8Afmf/+IwA/7vUiSukxAButXt9H+BnvjQDepZQuUkrLAJ4xrxsU/Iz/LgBfpYxXAIwSQnb5vLbfaOd+B5GG90spXaGUvgpAbfbaIWGQ1/mwrN9hWZfDtN7auZd+ZVh1mEGWYU6GRZ65GRb55mSYZN3QGGkzlNILAGD+Pd3l67uNn/HuBnDW8f9z5s8sfsU8uv7DfgmNcNFo/PVe4+fafqOd+wUACuC/E0JeJ4Tc17FRBkc7z2gQn28rDPI6H5b1OyzrcpjWW7vj6Zdn4mRYdZhBlmFOhkWeuRkW+eZkmGQdpF5+eDMQQl4EMOvxq9/s9li6QQD3Szx+ZpXy/C8Afsf8/+8A+F0AP9fsGDtMvfE3eo2fa/uNdu4XAD5EKT1PCJkG8HVCyEnT69qvtPOMBvH5ejLE63xY1u+wrMthWm/tjqcnz2RYdZghlmFOhkWeuRkW+eZkmGTd4BhplNLbav2OEHKRELKLUnrBPIZdafLt270+cAK433MA9jr+vwfAefO9Lzre6w8A/E0wow6UmuP38ZqQj2v7jXbuF5RS6+8VQsjXwI7tey0s6+HnfjtxbV8xxOt8WNbvsKzLYVpvbY2nV89kWHWYIZZhToZFnrkZFvnmZJhk3dCEOz4H4GfMf/8MgGe7fH238TPeVwEcJITsJ4SEANxjXgdXPPFPAHjT4/peU3P8Dp4D8L+Y1YduArBlhlT4ubbfaPl+CSFxQkgSAAghcQA/gv58pk7aeUaD+HxbYZDX+bCs32FZl8O03loeT589EyfDqsMMsgxzMizyzM2wyDcnwyTrhqa64wSAbwBYMP8eN39+CYD/5njd0wAugCULngPw8/Wu79c/TdzvRwC8A1at5jcdP/9jAN8F8B2wCbir1/dU4z6rxg/gFwH8ovlvAuAJ8/ffBXB9o3vv5z+t3i9YJaIT5p+3huh+Z811mgGwaf47NajPt4XvZ6DX+bCs32FZl8O03lq9l357Jo77GUodZtBlWJNzbiDkWVD31a9ryec9DYysI+agOBwOh8PhcDgcDofTBwxLuCOHw+FwOBwOh8PhDAXcSONwOBwOh8PhcDicPoIbaRwOh8PhcDgcDofTR3AjjcPhcDgcDofD4XD6CG6kcTgcDofD4XA4HE4fwY00DofD4exICCGXEkJa6u1DCLmEEHIk6DFxOJzhoh05w9nZSL0eAIfD4XA4gwal9DyAu3s9Dg6Hw+EMJ/wkjTMwEEL+mhDyOiHkLULIfebPfp4Q8g4h5Cgh5A8IIb9v/nyKEPKXhJBXzT8f6u3oORxOnyIRQv6IEPIdQsgRQkiMEHKaEPIfCCEvE0JeI4RcRwj5W0LIe4SQXwS4d5zD4TRFLTnzGCHk2+afA70eJKe/4EYaZ5D4OUrpDwK4HsADhJDdAD4D4CYA/xLAvOO1XwbwRUrpDQD+JwBf6fZgORzOQPA+AE9RSq8GkAHwy+bPz1JKbwbwLQD/FezU7CYAj/RikBwOZ6CpJWcylNIbAfw+gC/1anCc/oSHO3IGiQcIIT9h/nsvgH8L4JuU0g0AIIT8BYDLzd/fBuBKQoh1bYoQkqSUZrs5YA6H0/ecpZT+D/PffwLgAfPfz5l/fxdAwpQdWUJIiRAy2u1BcjicgaaWnHna8fcXuz4qTl/DjbT/v307RokghuIw/j0RBBFED2CtncU2W+ktxMrWQhRvIAhewc4rrKWIhYWg24nIipU2doIIotgYi5mFbUYQYSazfr8mCWTgX2V4vEStEBGrFIVXN6X0HhHnwD2wVPHJRLn3o56EkloqVaw/y/FrZD5c+++U9BtV50z6YY/+Oa87qi1mgZeyQFukuHY0DaxExFxETFJcaxw6BbaGi4hYrjWtpLZYiIhuOV8HLpoMI2ksVZ0zayPjZe2plDWLNLXFCcXD2xtgH7gCnoADoA+cAQPgtdy/DXTKR7oDYLP+yJJa4A7YKM+WeeCw4TySxk/VOTMVEX1gB9htKpzyFCnZXVV7RcRMSumt7KT1gKOUUq/pXJIkSVUi4hHopJSem86iPNlJU9vtRcQ1cAs8AMcN55EkSZL+xE6aJEmSJGXETpokSZIkZcQiTZIkSZIyYpEmSZIkSRmxSJMkSZKkjFikSZIkSVJGLNIkSZIkKSPflFq6F4rMJEIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(diabetes_df, x_vars = [\"age\", \"bmi\", \"bp\"], y_vars=[\"target\"],\n",
    "             height=5, aspect=.8, kind=\"reg\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
