18cse136_Assignment4.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Assignment - 4\n",
    "\n",
    "## Data Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "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>Unnamed: 0</th>\n",
       "      <th>Price</th>\n",
       "      <th>Age</th>\n",
       "      <th>KM</th>\n",
       "      <th>FuelType</th>\n",
       "      <th>HP</th>\n",
       "      <th>MetColor</th>\n",
       "      <th>Automatic</th>\n",
       "      <th>CC</th>\n",
       "      <th>Doors</th>\n",
       "      <th>Weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>13500</td>\n",
       "      <td>23.0</td>\n",
       "      <td>46986</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>90</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>three</td>\n",
       "      <td>1165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>13750</td>\n",
       "      <td>23.0</td>\n",
       "      <td>72937</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>90</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>3</td>\n",
       "      <td>1165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>13950</td>\n",
       "      <td>24.0</td>\n",
       "      <td>41711</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>90</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>3</td>\n",
       "      <td>1165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>14950</td>\n",
       "      <td>26.0</td>\n",
       "      <td>48000</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>3</td>\n",
       "      <td>1165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>13750</td>\n",
       "      <td>30.0</td>\n",
       "      <td>38500</td>\n",
       "      <td>Diesel</td>\n",
       "      <td>90</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2000</td>\n",
       "      <td>3</td>\n",
       "      <td>1170</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0  Price   Age     KM FuelType  HP  MetColor  Automatic    CC  \\\n",
       "0           0  13500  23.0  46986   Diesel  90       1.0          0  2000   \n",
       "1           1  13750  23.0  72937   Diesel  90       1.0          0  2000   \n",
       "2           2  13950  24.0  41711   Diesel  90       NaN          0  2000   \n",
       "3           3  14950  26.0  48000   Diesel  90       0.0          0  2000   \n",
       "4           4  13750  30.0  38500   Diesel  90       0.0          0  2000   \n",
       "\n",
       "   Doors  Weight  \n",
       "0  three    1165  \n",
       "1      3    1165  \n",
       "2      3    1165  \n",
       "3      3    1165  \n",
       "4      3    1170  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"toyota.csv\")\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scatter Plot between Age and Price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(data['Age'],data['Price'])\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Histogram of Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000001E86F5C5348>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001E86F7319C8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001E86F76C248>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000001E86F7A1C48>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001E86F7DCC88>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001E86F814D08>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x000001E86F84DE08>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001E86F885F48>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000001E86F890B48>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x2160 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.hist(figsize = (20,30))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bar Plots of Fuel Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "counts = [979, 120, 12]\n",
    "fuelType = ('Petrol', 'Diesel', 'CNG')\n",
    "index = np.arange(len(fuelType))\n",
    "plt.bar(index, counts, color=['red', 'blue', 'cyan'])\n",
    "plt.title('Bar plot of fuel types')\n",
    "plt.xlabel('Fuel Types')\n",
    "plt.ylabel('Frequency')\n",
    "plt.xticks(index, fuelType, rotation = 90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Regression Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e870f0c548>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"darkgrid\")\n",
    "sns.regplot(x=data['Age'],y=data['Price'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e86dd24f48>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['Age'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Countplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e86e4ff608>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"FuelType\", data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e870766e08>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY0AAAEJCAYAAABohnsfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nO3de1xUdf7H8dfADGCBiTjjpYtrZlqSWprXgtWtwMgotDIwvJSZW9rPdlFS0qj8oaw/aTdTM912s9xHWCpGOl6y3JQuSm1m6m65iUkGg4FyEWQuvz+qSbL0oDCD+n7+g+c758z5nKB5z/l+z/kek8fj8SAiImJAgL8LEBGRs4dCQ0REDFNoiIiIYQoNERExTKEhIiKGKTRERMQwhYaIiBhm9ncBja20tBK3W7eiiIgYERBgIjz8wl99/ZwPDbfbo9AQEWkg6p4SERHDFBoiImLYOd89JSLSEI4eraSiogyXy+nvUhpEYKCZ0NAWNGv26+MXv0ShISJyCkePVlJeXkqLFlYsliBMJpO/SzojHo+H2tpjlJU5AOoVHOqeEhE5hYqKMlq0sBIUFHzWBwaAyWQiKCiYFi2sVFSU1WtbhYaIyCm4XE4sliB/l9HgLJagene3KTRERAw4F84wfu50jkljGnJOCGseQkiwxd9l1Et1TS3lR6r9XYY0gNWrV/KXv/wfq1ev44ILfn184IUXnufmm2O5/PKODV7D44//gYyM/2PLls0UFh7gnnuSGnwfoNCQc0RIsIXEya/6u4x6WZaZRDkKjXPBhg12eva8nk2bNnLbbfG/ut5nn33KzTfHNEoNO3b8C4AbbohulPf/kbqnRETOQEmJg8LCA9x9dyJr1+YCMHPmk2zd+h4AH3+8nbS0ybzzzkb+/e/dpKVNoby8nI0b13HffXeTnHwPS5e+BMCSJS/wv/+bztixydx7bwJbtmxmwoRxDBs2hJ07PwPg7bfX8+CDo0hMHMpjj02gqqqKBQueo6KigrS0yaxZ8ybz5j0LQG7uKkaMuIsRI+4mNzenQY5XoSEicgY2blxH//430r37tRQUfEVh4YFfXG/gwJvo3PkqnnlmNjU1NSxe/ALPP/8iS5a8Ql7eFj799BMASkpKWLTo79xyy2D+/ve/kpX1PGPGPEhu7ipcLhd2+1s899xCli17g9DQUD78MI/x4ycQGhrKM89kevdXXFzEK6+8zAsvvMSiRX9jxYrl1NTUnPHxKjRERM7Axo3riY7+LWazmf79b8Ruf+uU2+zZs4trr+1J8+YXYbFYGDToZj75JB+A3r37YDKZaN26DZGR3TCbzbRp05aKinICAwOZOvVJNmywM2/es+zevYvq6l/u4vz888+47rqeXHhhKBdccAF//esrBAcHn/HxakxDROQ0HTjwNV988W9mzXoGk8lETU0NISEhXHttTzye7ydK/aVLWt1ud51lj8eDy+UCwGL56YKOwMDAOutVVVXy8MMPcOedd/Hb3w6ipqbGu5+fCww017k66ptvCmnVykpQ0JldOqwzDRGR07Rhg50hQ+7gjTdyef31N1m5cg1Op5O9e7+koOArAPLytnrXDww043K5uPrqrnz88TaOHDlMbW0t77yzkWuu6X7K/e3fv58WLcK5667hXHbZb9i+/cMTAuhHXbpcxb/+9TFVVVUcPXqUxx6b8KtnJfWh0BAROU0bN64jLu5277LZbCY+PoHLLmvP+vVrGT06EYvlpw6d66/vzRNPPI7b7eb++8fxyCMPMnLkcHr2vJ7evfuecn+dOl1JixbhjBhxFxMmjKNTp84UFX0LQGRkNx599PfedW221iQljWT8+DE8+OBIxowZS/Pmzc/4mE2eXzu3OUccOlSh52mcB6zWsLPykluHo9zfZYgB335bQJs27f1dRqP4+bEFBJiIiAj91fV1piEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhjTqNSEVFBcOHD2fhwoVccskl5OXlkZGRQU1NDYMHD2bSpEkA7N69m2nTplFZWUmvXr1IT0/HbDbzzTffkJKSwqFDh+jQoQNz5szhwgvr9xB0ERFfaKxnuhh97sr69XZefnkJTqeTu+66l6FD727wWqARQ+PTTz8lLS2Nffv2AVBdXc3UqVNZunQpbdu2Zdy4cWzevJno6GhSUlJ45pln6NGjB1OnTiU7O5vExETS09NJTEwkLi6O559/nvnz55OSktJYJYuInLbGeqaLkeeuOBzFvPjifJYsWYrFEsRDD43huut60aHD5Q1eT6N1T2VnZzNjxgxsNhsAO3bsoH379lx66aWYzWaGDBmC3W6nsLCQ6upqevToAUBCQgJ2u53a2lq2bdtGTExMnXYREalr+/aPuO66XjRvfhHNmjVj4MDf8e67bzfKvhrtTGPmzJl1louLi7Fard5lm81GUVHRCe1Wq5WioiJKS0sJDQ3FbDbXaRcRkbpKShxERLTyLkdEtGLXrs8bZV8+mxrd7XbXmabX4/FgMpl+tf3Hn8c7nYegn2wOFRF/s1rD/F2CGFBcHIDZ7L/rhk69bw+BgT/VaDJ9v42RmgMCAur1d+iz0GjTpg0Oh8O77HA4sNlsJ7SXlJRgs9lo2bIl5eXluFwuAgMDvevXlyYsPD+crR++mrDw7OB2u3E6f3kKcl841b5btbLx6aefeNcrKSmhZctWhmp2u911/g6bzISF3bt356uvvqKgoACXy0Vubi5RUVFcfPHFBAcHk5///VOrcnJyiIqKwmKx0KtXL9asWQPAqlWriIqK8lW5IiJnjV69epOfv43S0lKqq6t5991N9OnTr1H25bMzjeDgYGbNmsWECROoqakhOjqa2NhYAObMmUNaWhoVFRV07dqV5ORkAGbMmEFqaioLFiygbdu2zJ0711fliojUS3VNLcsykxrlfU/FarUxduzvmThxHLW1ToYMiefqqyMbvBbQ8zTkHKHnaUhj0vM0fqI7wkVExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhPrtPQ0TkXBZ+URDmoOAGf1/nsRpKDx8ztG5lZQUPPTSGzMxnadu2XYPXAgoNEZEGYQ4KJj/zgQZ/356TFwOnDo3PP99JZuYzfP31/gav4XjqnhIROQe8+eZKHntsCq1aWU+98hnQmYaIyDkgNfUJn+xHZxoiImKYQkNERAxTaIiIiGEKDRERMUwD4SIiDcB5rOaHy2Mb/n3r4/XX32zwGo6n0BARaQDf34Bn7Ca8s5m6p0RExDCFhoiIGKbQEBE5JRMej9vfRTS474/JVK9tFBoiIqcQFBRCWVkJTmctHo/H3+WcMY/Hg9NZS1lZCUFBIfXaVgPhIiKnEB5upaLiMN99V4Tb7fJ3OQ0iICCQZs1CCQ29qF7bKTRERE7BZDIRFtaCsLAW/i7F79Q9JSIihik0RETEMIWGiIgYptAQERHDFBoiImKYQkNERAxTaIiIiGF+CY2cnBzi4uKIi4tj9uzZAOzevZuEhARiYmKYNm0aTqcTgG+++YakpCRiY2MZP348lZWV/ihZRETwQ2gcPXqUmTNnsnTpUnJycti+fTt5eXmkpKQwffp01q1bh8fjITs7G4D09HQSExOx2+1ERkYyf/58X5csIiI/8HlouFwu3G43R48exel04nQ6MZvNVFdX06NHDwASEhKw2+3U1taybds2YmJi6rSLiIh/+HwakdDQUB599FEGDx5Ms2bNuP7667FYLFitVu86VquVoqIiSktLCQ0NxWw212mvj4iI0AatX6QhWa1h/i5BpF58Hhp79uzhjTfe4J133iEsLIw//vGPbN26FZPpp+l5PR4PJpPJ+/N4P18+lUOHKnC7z/5ZKeXkztYPX4ej3N8liNQREGA66Zdtn3dPbdmyhX79+hEREUFQUBAJCQl8+OGHOBwO7zolJSXYbDZatmxJeXk5Ltf3s0o6HA5sNpuvSxYRkR/4PDS6dOlCXl4eVVVVeDweNm3aRO/evQkODiY/Px/4/uqqqKgoLBYLvXr1Ys2aNQCsWrWKqKgoX5csIiI/8Hn31A033MCuXbtISEjAYrFwzTXX8OCDD3LzzTeTlpZGRUUFXbt2JTk5GYAZM2aQmprKggULaNu2LXPnzvV1ySIi8gOT51x4DNVJaEzj/GC1hpE4+VV/l1EvyzKTNKYhTU6TG9MQEZGzl0JDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDCFhoiIGGYoNIqKik5o+/LLLxu8GBERadpOGhplZWWUlZUxduxYDh8+7F0uKSnhkUce8VWNIiLSRJhP9uIf/vAHtm7dCkCfPn1+2shsJiYmpnErExGRJuekobFkyRIAHn/8cTIyMnxSkIiINF0nDY0fZWRkUFhYyOHDh/F4PN72rl27NlphIiLS9BgKjb/85S8sWbKEiIgIb5vJZOLtt98+rZ1u2rSJefPmcfToUQYMGEBaWhp5eXlkZGRQU1PD4MGDmTRpEgC7d+9m2rRpVFZW0qtXL9LT0zGbDZUtIiINzNCn76pVq1i/fj2tW7c+4x1+/fXXzJgxg+XLlxMREcHIkSPZvHkzM2bMYOnSpbRt25Zx48axefNmoqOjSUlJ4ZlnnqFHjx5MnTqV7OxsEhMTz7gOERGpP0OX3LZt27ZBAgNgw4YN3HrrrbRp0waLxUJWVhbNmjWjffv2XHrppZjNZoYMGYLdbqewsJDq6mp69OgBQEJCAna7vUHqEBGR+jN0ptGvXz8yMzP53e9+R0hIiLf9dMY0CgoKsFgsPPTQQxw8eJDf/va3dOrUCavV6l3HZrNRVFREcXFxnXar1fqL94yIiIhvGAqNFStWANT5ln+6Yxoul4vt27ezdOlSLrjgAsaPH09ISAgmk8m7jsfjwWQy4Xa7f7G9PiIiQutdo4ivWK1h/i5BpF4MhcamTZsabIetWrWiX79+tGzZEoCbbroJu91OYGCgdx2Hw4HNZqNNmzY4HA5ve0lJCTabrV77O3SoArfbc+oV5ax2tn74Ohzl/i5BpI6AANNJv2wbCo2XXnrpF9tHjx5d74IGDhzIlClTOHLkCBdeeCHvvfcesbGxLFq0iIKCAi655BJyc3MZOnQoF198McHBweTn59OzZ09ycnKIioqq9z5FRKRhGAqN//znP95/Hzt2jG3bttGvX7/T2mH37t154IEHSExMpLa2lgEDBnDvvfdy+eWXM2HCBGpqaoiOjiY2NhaAOXPmkJaWRkVFBV27diU5Ofm09isiImfO5Dn+bj2DioqKmDZtGosXL26MmhqUuqfOD1ZrGImTX/V3GfWyLDNJ3VPS5Jyqe+q0pkZv3bo1hYWFp12UiIicneo9puHxeNi5c2edu8NFROT8UO8xDfj+Zr/Jkyc3SkEiItJ0GZ6wEKCwsBCn00n79u0btSgREWmaDIVGQUEBv//97ykuLsbtdhMeHs4LL7xAx44dG7s+ERFpQgwNhD/11FM88MADbNu2jfz8fMaPH096enpj1yYiIk2ModA4dOgQd955p3d56NChlJaWNlpRIiLSNBkKDZfLRVlZmXf5u+++a7SCRESk6TI0pjFixAjuueceBg8ejMlkYs2aNYwcObKxaxMRkSbG0JlGdHQ0ALW1tezdu5eioiJuvvnmRi1MRESaHkNnGqmpqSQlJZGcnExNTQ3/+Mc/mDp1Ki+++GJj1yciIk2IoTON0tJS70SBwcHBjBo1qs6U5SIicn4wPBB+/BPzSkpKOI15DkVE5CxnqHtq1KhR3HHHHdx4442YTCby8vI0jYiIyHnIUGgMGzaMyMhIPvjgAwIDA7n//vu58sorG7s2ERFpYgyFBkCXLl3o0qVLY9YiIiJN3Gk9T0NERM5PCg0RETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDCFhoiIGOa30Jg9ezapqakA7N69m4SEBGJiYpg2bRpOpxOAb775hqSkJGJjYxk/fjyVlZX+KldERPBTaLz//vusXLnSu5ySksL06dNZt24dHo+H7OxsANLT00lMTMRutxMZGcn8+fP9Ua6IiPzA56FRVlZGVlYWDz30EACFhYVUV1fTo0cPABISErDb7dTW1rJt2zZiYmLqtIuIiP8YfghTQ5k+fTqTJk3i4MGDABQXF2O1Wr2vW61WioqKKC0tJTQ0FLPZXKe9viIiQhumcJFGYLWG+bsEkXrxaWgsX76ctm3b0q9fP1asWAGA2+3GZDJ51/F4PJhMJu/P4/182YhDhypwuz1nVrg0eWfrh6/DUe7vEkTqCAgwnfTLtk9DY82aNTgcDuLj4zl8+DBVVVWYTCYcDod3nZKSEmw2Gy1btqS8vByXy0VgYCAOhwObzebLckVE5Gd8Oqbx0ksvkZubS05ODhMnTmTQoEFkZGQQHBxMfn4+ADk5OURFRWGxWOjVqxdr1qwBYNWqVURFRfmyXBER+ZkmcZ/GnDlzyMjIIDY2lqqqKpKTkwGYMWMG2dnZ3HrrrWzfvp3/+Z//8XOlIiLnN5PH4zmnO/w1pnF+sFrDSJz8qr/LqJdlmUka05Am51RjGk3iTENERM4OCg0RETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDC/hMa8efOIi4sjLi6OzMxMAPLy8hgyZAi33HILWVlZ3nV3795NQkICMTExTJs2DafT6Y+SRUQEP4RGXl4eW7ZsYeXKlaxatYrPP/+c3Nxcpk6dyvz581mzZg07d+5k8+bNAKSkpDB9+nTWrVuHx+MhOzvb1yWLiMgPfB4aVquV1NRUgoKCsFgsdOzYkX379tG+fXsuvfRSzGYzQ4YMwW63U1hYSHV1NT169AAgISEBu93u65JFROQHPg+NTp06eUNg3759rF27FpPJhNVq9a5js9koKiqiuLi4TrvVaqWoqMjXJYuIyA/M/trxF198wbhx45g8eTKBgYHs27fP+5rH48FkMuF2uzGZTCe010dERGhDlSzS4KzWMH+XIFIvfgmN/Px8Jk6cyNSpU4mLi+Ojjz7C4XB4X3c4HNhsNtq0aVOnvaSkBJvNVq99HTpUgdvtabDapWk6Wz98HY5yf5cgUkdAgOmkX7Z93j118OBBHn74YebMmUNcXBwA3bt356uvvqKgoACXy0Vubi5RUVFcfPHFBAcHk5+fD0BOTg5RUVG+LllERH7g8zONJUuWUFNTw6xZs7xtw4cPZ9asWUyYMIGamhqio6OJjY0FYM6cOaSlpVFRUUHXrl1JTk72dckiIvIDk8fjOaf7btQ9dX6wWsNInPyqv8uol2WZSeqekianyXVPiYjI2UuhISIihik0RETEMIWGiIgYptAQERHD/HZHeFMT1jyEkGCLv8uol+qaWsqPVPu7DBE5jyg0fhASbDkrL9ksR6EhIr6j7ikRETFMoSEiIoYpNERExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoYpNERExDCFhoiIGKYJC0X8xO2sxWoN83cZhjmP1VB6+Ji/yxA/U2iI+EmA2UJ+5gP+LsOwnpMXAwqN8526p0RExDCFhoiIGKbQEBERwxQaIiJimEJDREQMU2iIiIhhCg0RETFMoSEiIoadFTf3vfnmmyxYsACn08nIkSNJSkryd0ki0oDCmocQEmzxdxmGVdfUUn6k2t9l+EWTD42ioiKysrJYsWIFQUFBDB8+nD59+nDFFVf4uzQRaSAhwRYSJ7/q7zIMW5aZRDkKjSYpLy+Pvn370qJFCwBiYmKw2+088sgjhrYPCDAZ3ler8AtPq0Z/qs/xnevOxt9fUPMIf5dQL43593a2/f7O1f/3TnVcJo/H4/FRLaflhRdeoKqqikmTJgGwfPlyduzYwdNPP+3nykREzj9NfiDc7XZjMv2UfB6Pp86yiIj4TpMPjTZt2uBwOLzLDocDm83mx4pERM5fTT40+vfvz/vvv893333H0aNHWb9+PVFRUf4uS0TkvNTkB8Jbt27NpEmTSE5Opra2lmHDhtGtWzd/lyUicl5q8gPhIiLSdDT57ikREWk6FBoiImKYQkNERAxTaIiIiGEKjSbgwIEDREZGEh8fT3x8PDExMTz++OOUlJTw2WefMW3atAbd16BBgxrs/aTu7++OO+4gLi6O0aNH8+233/7qNtnZ2eTm5tZrP/fddx8ffvjhmZYrv6KiooL09HRuu+024uPjue+++/j88885cOAAnTt3ZuvWrXXWHzRoEAcOHADA6XSyYMECBg8ezK233kpMTAwLFy7kXLzOqMlfcnu+sNls5OTkAN/f9T537lwmTpzIsmXLuOaaa/xcnZzK8b8/gFmzZpGZmcncuXN/cf2PP/6Y3r17+6o8OQW3283YsWPp06cPq1atwmw288EHHzB27FgWLVqExWLhiSeeYPXq1YSGhp6wfXp6OiUlJbz22ms0b96ciooKHn74YcLCws65WbkVGk2QyWRiwoQJDBgwgJdffpkNGzawdOlSCgoKePLJJykrKyMkJIQnnniCq6++mjfffJPFixcTGBjIJZdcwp/+9CeCg4NZtGgRa9euxeVyccMNN5CSkuLvQztv9OnTh7lz57Jjxw4yMjKorq4mPDyc9PR0vv76azZt2sQHH3yA1WrlrbfeoqysjIKCAlJSUmjZsiUzZ86kpqaG8PBwnnrqKdq3b+/vQzqnffjhhxw8eJCJEycSEPB9B0zfvn3JyMjA7XZjs9no378/s2fPPmHeu2+//ZbVq1fzz3/+k+bNmwMQGhrK9OnT+fLLL31+LI1NodFEBQUF0b59e1q1auVtmzJlCtOnT+fqq6/myy+/5OGHH2bdunU8++yzZGdnExERwezZs/nvf/+Lw+Fg586dvP7665hMJlJSUli9ejU9e/b041GdH2pra1m3bh2RkZGkpaWxcOFC2rVrx3vvvccTTzzB3/72NwYNGkTv3r258cYbeeutt2jRogULFy7k2LFjxMbG8uyzz9KtWzfWrl3LY489xhtvvOHvwzqn7dq1iy5dungD40fR0dHeLqjU1FSGDBnC1q1bGTBggHedHTt20LFjRy666KI623bs2JGOHTs2fvE+ptBowkwmEyEhIQBUVlayc+dOHn/8ce/rVVVVlJaWMnDgQO69915uuukmYmJiuOqqq1i9ejU7duwgISEBgOrqatq1a6fQaCTFxcXEx8cDcOzYMbp168bQoUOx2+2MHz/eu15FRcUvbv/jLAf79u2jefPm3uXBgwczffp0ysvLG/kIzm8BAQEEBwefdJ3Q0FCefvppbzfV8Y6fRNVut7NgwQLcbjdBQUHnXOArNJqoY8eO8dVXX3Ho0CEA7x/g8f3m3377LS1atCAtLY09e/awefNmUlJSeOSRR3C5XIwcOZLRo0cDcOTIEQIDAyktLfXL8Zzrfj6mAbBnzx4uueQSb7vL5aKkpOQXt//xy4Hb7T7hNY/Hg8vlauCK5XiRkZEsW7bshFm0586dW6dr8IYbbvB2Ux2/7d69e6moqCA0NJTY2FhiY2M5cOAAycnJPj0OX9DVU02Q2+3mueeeo3v37lx22WUAhIWF8Zvf/Mb7AbR161aSkpJwOp3ccssthIeHM27cOOLj49m9ezd9+/YlJyeHyspKnE6ntytLfOfyyy/n8OHDbN++HYA33niDP/7xjwAEBgb+YhBcfvnllJWVsWPHDgDWrFlDu3btvA8hk8bRq1cvIiIimDdvnvf38t5777FixYoTnhKamprKli1bKC4uBqBdu3bcfvvtTJkyhSNHjgDfX0317rvvntDddS7QmUYTcXz3htvt5qqrrmLu3Lns2bPHu86f/vQnnnzySRYvXozFYiErKwuLxcLEiRMZM2YMwcHBREREMGvWLCIiItizZw933303LpeLG2+8kTvvvJPCwkJ/HeJ5JygoiD//+c/eQe3Q0FDvN9T+/fszd+5cwsLCTtgmKyuLp59+mqNHj3LRRReRlZXlj/LPKyaTifnz55ORkcFtt92G2WwmPDycRYsWeQe3f/RjN9X999/vbXvyySd56aWXSE5OxuVyUVlZSZ8+fXjxxRd9fSiNThMWioiIYefeuZOIiDQahYaIiBim0BAREcMUGiIiYphCQ0REDNMltyK/onPnzlx55ZV1rrWPjIxk5syZp/V+zz33HKWlpdx0003eS29LSkpwuVy0bt0agHHjxnHrrbeeefEijUShIXISf//732nZsmWDvmf//v29N2n+GCTTp09v0H2INBaFhshp6Ny5M++//743UI5f3rRpEwsWLKC2tpaQkBCmTJnCtddea+h9q6qqiI6OJjs7mw4dOgAwatQoRowYwcaNGwkODmbPnj0cOnSIAQMGkJaWhsViYe/evcycOZOysjJcLhf33Xcfw4YNa7Tjl/OXQkPkJEaOHFmne+qvf/0rERERv7r+vn37yMrK4uWXXyY8PJwvvviC0aNHs379ekP7u+CCC7jjjjtYvnw5kydPZv/+/ezbt4+BAweyceNGduzYwSuvvILFYmHMmDG89tprDB8+nIkTJ5KZmUnXrl0pLy/nnnvu4YorrqBHjx5n/N9A5HgKDZGTqG/31NatWykuLmbUqFHeNpPJxP79+w2/R2JiIiNGjGDSpEm89tprDBs2jMDAQADuvPNOLrzwQgDi4+N5++236du3L/v372fq1Kne96iurmbXrl0KDWlwCg2RM3Ts2DHvv91uN/369ePZZ5/1th08eBCbzcaGDRsMvV+HDh3o3Lkzb7/9Nrm5uWRnZ3tf+zE84PvZbwMCAnC5XL/uwTsAAAE/SURBVISFhdWZZbekpOSEea1EGoIuuRU5DS1btuSzzz4DqPOs7379+rF161b27t0LwObNm7n99tuprq6u1/snJiaSmZlJt27dvFdWAaxdu5Zjx45RU1PDypUrGThwIB06dCAkJMQbGgcPHuS2225j586dZ3qYIifQmYbIaUhLS+Opp56iefPm9O/fH6vVCsAVV1zBU089xWOPPYbH48FsNrNgwQJvl5JRAwcOJC0tjeHDh9dpDwkJITExkSNHjhATE8PQoUMJCAhg/vz5zJw5k8WLF+N0Onn00Uf1wC1pFJrlVqQJ+uSTT0hLSyM3N9f7UKDU1FQ6depUZ0puEV/TmYZIEzNlyhQ++ugjsrKy6jxFTqQp0JmGiIgYpoFwERExTKEhIiKGKTRERMQwhYaIiBim0BAREcMUGiIiYtj/AyiGxsDOyBunAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x=\"FuelType\", data=data, hue = \"Automatic\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Boxplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e86f620f08>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(y=data[\"Price\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1e8702c9548>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x=data['FuelType'], y=data[\"Price\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Pairplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAABPQAAAT6CAYAAADSsz0fAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjMsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+AADFEAAAgAElEQVR4nOzdfXBd5WEm8Edg/KHirFNzZSXulg2TKSRUAjrdxfWk9iRprdRFQI1nQkJx2mW0ISGrxZOyydgOpOkaEwrrZNIMG3vTsEnsrr2UsdEfK7yBZPphTzKwmZAQs9TDeChskYRNwQaZyNbdP7pVKyzp6sPnyuf695vJjM89957znPe8nJx55p6rpmq1Wg0AAAAAUArnzXYAAAAAAGDyFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlUnihd/z48VxzzTV54YUXTlt38ODBrFmzJh0dHdm4cWNOnjxZdBwAAAAAKLVCC70f/ehH+chHPpLDhw+Puf6OO+7InXfemUcffTTVajW7d+8uMg4AAAAAlF6hhd7u3btz1113paWl5bR1L774Yk6cOJErr7wySbJmzZr09vYWGQcAAAAASm9OkRvfvHnzuOv6+/tTqVRGliuVSvr6+oqMAwAAAAClN2t/FGN4eDhNTU0jy9VqddQyAAAAAHC6Qr+hN5HW1tYMDAyMLL/88stjPpo7kSNHjmd4uDrmukplYQYGjs0o49mgUY4jabxjmamJ5m+9NdK5SRzPZLY3E2PN3bKOudz1NdPcRV57yzqm9WSMaptojIq49k5mvxifyShy7ib1ve8ty/kuQ84yZExce6dD9tkzlfy15u+sfUNv6dKlmTdvXp588skkyd69e7NixYrZigMAAAAApVD3Qq+rqys//vGPkyT33XdftmzZkg996EN54403sm7dunrHAQAAAIBSqcsjt48//vjIv7dv3z7y78suuywPPfRQPSIAAAAAQEOYtUduAQAAAICpU+gBAAAAQIko9AAAAACgROryG3qz4WdDp6b1J6pPvHkyx14bnNY+F75tQebPm/qQniv7/NnQqWntbyb7TJI3f3Yq8+aeP+XPzWSMAAAAAIrSsIXe3AvOT+en9075c39+zzXTKgL/URH7rJWnUY6ziH0mSc/9103rsz33X5dj09ojAAAAQHEattCbrukWgck/FED2eXbtEwAAAKDR+A09AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlEihhV5PT09Wr16dVatWZceOHaetf/rpp3PDDTfk2muvzcc//vG89tprRcYBAAAAgNIrrNDr6+vL1q1bs3PnzuzZsye7du3KoUOHRr1n8+bN6e7uziOPPJJ3vetd+frXv15UHAAAAABoCIUVevv378+yZcuyaNGiNDc3p6OjI729vaPeMzw8nNdffz1JMjg4mPnz5xcVBwAAAAAaQmGFXn9/fyqVyshyS0tL+vr6Rr3ns5/9bDZt2pT3ve992b9/f2688cai4gAAAABAQ5hT1IaHh4fT1NQ0slytVkctnzhxIhs3bsyDDz6Y9vb2fOMb38hnPvOZbNu2bdL7WLz4wjOaGd6qUllY2LbPtvlb5LHOBsdTnPHm7tmUcSrkrq/Zzj3RtXe2s5WBMaqtqDGqdd/g3EzM+NTWSPe9ZTnfZchZhoyJa+90yD57zlT+wgq91tbWPPHEEyPLAwMDaWlpGVl+9tlnM2/evLS3tydJPvzhD+fLX/7ylPZx5MjxDA9Xx1xX9hPM2WFg4NiYr5+J+TXR/K23SmXhuMdaRo6n9vZmYqy5W9Yxl7u+Zpq7yGtvWce0noxRbRONURHX3snsF+MzGUXO3aS+971lOd9lyFmGjIlr73TIPnumkr/W/C3skdvly5fnwIEDOXr0aAYHB7Nv376sWLFiZP3FF1+cl156Kc8991yS5LHHHktbW1tRcQAAAACgIRT2Db0lS5Zk/fr1WbduXYaGhrJ27dq0t7enq6sr3d3daWtry5YtW3L77benWq1m8eLFufvuu4uKAwAAAAANobBCL0k6OzvT2dk56rXt27eP/HvlypVZuXJlkREAAAAAoKEU9sgtAAAAAHDmKfQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKZM5EK3t7e/PII4/kpZdeyvnnn5/W1tZ88IMfzPXXX1+vfAAAAADAPzNuofcnf/In+f73v581a9aktbU11Wo1/f39efjhh/M3f/M3ueOOO+qZEwAAAADIBIVeT09Penp6Mnfu3FGvr169Op2dnQo9AAAAAJgF4/6G3nnnnZdqtXra66dOncoFF1xQaCgAAAAAYGzjfkPv+uuvz0c+8pFcc801aW1tTVNTU/r7+9PT05Nrr722nhkBAAAAgP9v3ELv4x//eC677LJ85zvfyf79+1OtVvOOd7wjt912W97//vfXMyMAAAAA8P9N+FduV65cmZUrV9YrCwAAAABQw7i/oQcAAAAAnH0UegAAAABQIgo9AAAAACiRmoXed7/73Um9BgAAAAAUr2ah92d/9meTem0sPT09Wb16dVatWpUdO3actv65557LzTffnGuvvTa33HJLXn311UltFwAAAADOVTULvW3btk3qtbfq6+vL1q1bs3PnzuzZsye7du3KoUOHRtZXq9V84hOfSFdXVx555JG85z3vmdR2AQAAAOBcNme8Ff/3//7fCT/4zne+c8L1+/fvz7Jly7Jo0aIkSUdHR3p7e/OpT30qSfL000+nubk5K1asSJLceuutee2116YUHgAAAADONeMWer/927+dpqamVKvVnDhxIs3NzZkzZ05ee+21LF68OH/1V3814Yb7+/tTqVRGlltaWvLUU0+NLD///PO56KKLsmHDhhw8eDCXXHJJPve5z00p/OLFF07p/TBVlcrCwrZ9ts3fIo91Njie4ow3d8+mjFMhd33Ndu6Jrr2zna0MjFFtRY1RrfsG52Zixqe2RrrvLcv5LkPOMmRMXHunQ/bZc6byj1vo/fCHP0yS3Hnnnbn66qvz27/920mSxx57LN/5zndqbnh4eDhNTU0jy9VqddTyyZMn84Mf/CDf/va309bWli996Uu55557cs8990w6/JEjxzM8XB1zXdlPMGeHgYFjY75+JubXRPO33iqVheMeaxk5ntrbm4mx5m5Zx1zu+ppp7iKvvWUd03oyRrVNNEZFXHsns1+Mz2QUOXeT+t73luV8lyFnGTImrr3TIfvsmUr+WvO35m/o/eQnPxkp85Lkgx/8YJ555pmaO25tbc3AwMDI8sDAQFpaWv5ZsEouvvjitLW1JUmuueaaUd/gAwAAAABOV7PQGx4ezve///2R5b/4i78Y9U278SxfvjwHDhzI0aNHMzg4mH379o38Xl6SXHXVVTl69OhIOfj444/n8ssvn84xAAAAAMA5Y9xHbv/Rpk2bcvvtt+eCCy5ItVpNtVrNV7/61ZobXrJkSdavX59169ZlaGgoa9euTXt7e7q6utLd3Z22trZ89atfzaZNmzI4OJjW1tbce++9Z+SgAAAAAKBR1Sz0fvVXfzXf/e538+yzzyZJLr300syZU/NjSZLOzs50dnaOem379u0j/77iiivy0EMPTSUvAAAAAJzTaj5y+/rrr2fLli259957s3Tp0nzhC1/I66+/Xo9sAAAAAMBb1Cz0/tN/+k9ZuHBhjhw5knnz5uX48eO5884765ENAAAAAHiLmoXewYMHs379+syZMycLFizIfffdl4MHD9YjGwAAAADwFjULvfPOG/2WU6dOnfYaAAAAAFAfNf+6xb/+1/86f/zHf5wTJ07kL//yL7Njx45cffXV9cgGAAAAALxFza/a/cEf/EGam5uzcOHCbN26NZdeemn+43/8j/XIBgAAAAC8Rc1v6F1wwQW57bbbctttt9UjDwAAAAAwgZqF3ve///1s27Ytr7766qjXH3roocJCAQAAAABjq1nobdq0KTfffHN+8Rd/sR55AAAAAIAJ1Cz0Fi9enHXr1tUjCwAAAABQQ81C7wMf+EB27NiRX//1X8+cOf/09ne+852FBgMAAAAATlez0HvllVfyn//zf86CBQtGXmtqasr//t//u9BgAAAAAMDpahZ63/3ud/NXf/VXueiii+qRBwAAAACYwHm13rB48eL8/M//fD2yAAAAAAA11PyG3i/90i/lox/9aN7//vdn7ty5I6///u//fqHBAAAAAIDT1Sz0Tpw4kXe96105fPhwHeIAAAAAABOpWeht2bKlHjkAAAAAgEmoWej98Ic/zLZt2/LGG2+kWq1meHg4L7zwQr73ve/VIR4AAAAA8M/V/KMYmzZtylVXXZXjx4+ns7MzF154YVatWlWPbAAAAADAW9T8hl5TU1P+3b/7d3nllVdyySWXpLOzMzfccEM9sgEAAAAAb1HzG3o/93M/lyT5xV/8xfzN3/xN5s+fn/POq/kxAAAAAKAANb+h197enttvvz3/4T/8h3z84x/P4cOHM2dOzY8BAAAAAAWo+VW7DRs25Pd+7/fyrne9Kxs2bMjw8HDuv//+emQDAAAAAN6iZqHX1NSUSqWSn/70p6lUKrnuuusyODhYj2wAAAAAwFvUfHb2y1/+cv70T/80ixcvHnmtqakpjz32WM2N9/T05IEHHsjJkyfzsY99LDfddNOY7/ve976XL3zhC3n88cenEB0AAAAAzj01C729e/dm3759WbJkyZQ23NfXl61bt+bhhx/O3Llzc+ONN+bqq6/Ou9/97lHve/nll/PFL35xaqkBAAAA4BxV85Hbd7zjHVMu85Jk//79WbZsWRYtWpTm5uZ0dHSkt7f3tPdt2rQpn/rUp6a8fQAAAAA4F9X8ht6v/dqv5d57780HP/jBzJ8/f+T1yy+/fMLP9ff3p1KpjCy3tLTkqaeeGvWeb37zm3nve9+bK664Yqq5kySLF184rc/BZFUqCwvb9tk2f4s81tngeIoz3tw9mzJOhdz1Ndu5J7r2zna2MjBGtRU1RrXuG5ybiRmf2hrpvrcs57sMOcuQMXHtnQ7ZZ8+Zyl+z0Hv44YeTZNS36ybzG3rDw8NpamoaWa5Wq6OWn3322ezbty8PPvhgXnrppSkHT5IjR45neLg65rqyn2DODgMDx8Z8/UzMr4nmb71VKgvHPdYycjy1tzcTY83dso653PU109xFXnvLOqb1ZIxqm2iMirj2Tma/GJ/JKHLuJvW97y3L+S5DzjJkTFx7p0P22TOV/LXmb81Cb7p/qKK1tTVPPPHEyPLAwEBaWlpGlnt7ezMwMJAbbrghQ0ND6e/vz0c/+tHs3LlzWvsDAAAAgHNBzULv5Zdfzn//7/89f//3fz/q9U2bNk34ueXLl+crX/lKjh49mgULFmTfvn35oz/6o5H13d3d6e7uTpK88MILWbdunTIPAAAAAGqoWej9wR/8QRYsWJD3vve9ox6ZrWXJkiVZv3591q1bl6Ghoaxduzbt7e3p6upKd3d32traZhQcAAAAAM5FNQu9vr6+/M//+T+ntfHOzs50dnaOem379u2nve8XfuEXpv1oLwAAAACcS86r9YZ3vvOdeeONN+qRBQAAAACooeY39FpaWnL99dfn3/ybf5P58+ePvF7rN/QAAAAAgDOvZqG3dOnSLF26tB5ZAAAAAIAaahZ6n/rUp+qRAwAAAACYhHELvZtvvnnUX7U9//zzs2jRoqxcuTLXX399XcIBAAAAAKONW+j97u/+7qjl4eHhHDlyJN/61rfyyiuv5Pd///cLDwcAAAAAjDZuodfR0THm652dnbn55psVegAAAAAwC86b6gf+xb/4F6MexQUAAAAA6mfKhV61Ws3JkyeLyAIAAAAA1DDuI7d///d/P+Zr3/rWt3LllVcWGgoAAAAAGNu4hd6yZcvS1NSUarWaJGlqasrP//zPZ8WKFdmwYUPdAgIAAAAA/2TcQu+ZZ56pZw4AAAAAYBKm/Bt6AAAAAMDsUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAihRZ6PT09Wb16dVatWpUdO3actv473/lOrrvuulx77bX55Cc/mVdffbXIOAAAAABQeoUVen19fdm6dWt27tyZPXv2ZNeuXTl06NDI+uPHj+fzn/98tm3blkceeSSXXnppvvKVrxQVBwAAAAAaQmGF3v79+7Ns2bIsWrQozc3N6ejoSG9v78j6oaGh3HXXXVmyZEmS5NJLL83f/d3fFRUHAAAAABpCYYVef39/KpXKyHJLS0v6+vpGlt/+9rfnN3/zN5MkJ06cyLZt2/Ibv/EbRcUBAAAAgIYwp6gNDw8Pp6mpaWS5Wq2OWv5Hx44dy2233ZbLLrssv/M7vzOlfSxefOGMc8JEKpWFhW37bJu/RR7rbHA8xRlv7p5NGadC7vqa7dwTXXtnO1sZGKPaihqjWvcNzs3EjE9tjXTfW5bzXYacZciYuPZOh+yz50zlL6zQa21tzRNPPDGyPDAwkJaWllHv6e/vzy233JJly5Zlw4YNU97HkSPHMzxcHXNd2U8wZ4eBgWNjvn4m5tdE87feKpWF4x5rGTme2tubibHmblnHXO76mmnuIq+9ZR3TejJGtU00RkVceyezX4zPZBQ5d5P63veW5XyXIWcZMiauvdMh++yZSv5a87ewR26XL1+eAwcO5OjRoxkcHMy+ffuyYsWKkfWnTp3Krbfemt/6rd/Kxo0bx/z2HgAAAAAwWmHf0FuyZEnWr1+fdevWZWhoKGvXrk17e3u6urrS3d2dl156KT/96U9z6tSpPProo0mSX/7lX87mzZuLigQAAAAApVdYoZcknZ2d6ezsHPXa9u3bkyRtbW155plnitw9AAAAADScwh65BQAAAADOPIUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCKFFno9PT1ZvXp1Vq1alR07dpy2/uDBg1mzZk06OjqycePGnDx5ssg4AAAAAFB6hRV6fX192bp1a3bu3Jk9e/Zk165dOXTo0Kj33HHHHbnzzjvz6KOPplqtZvfu3UXFAQAAAICGUFiht3///ixbtiyLFi1Kc3NzOjo60tvbO7L+xRdfzIkTJ3LllVcmSdasWTNqPQAAAABwujlFbbi/vz+VSmVkuaWlJU899dS46yuVSvr6+qa0j/POa5p5UJhAkXPsbJu/Z1uemXI8xRkvy9mUcSrkrq/Zzj3R/mc7WxkYo9qKGqNa23VuJmZ8amuk+96ynO8y5CxDxsS1dzpknz1nKn9TtVqtnpEtvcUDDzyQN998M7fffnuSZPfu3fnJT36SL3zhC0mSJ598Mvfff3927tyZJDl8+HBuvfVW39IDAAAAgAkU9shta2trBgYGRpYHBgbS0tIy7vqXX3551HoAAAAA4HSFFXrLly/PgQMHcvTo0QwODmbfvn1ZsWLFyPqlS5dm3rx5efLJJ5Mke/fuHbUeAAAAADhdYY/cJklPT0++9rWvZWhoKGvXrk1XV1e6urrS3d2dtra2PPPMM9m0aVOOHz+eyy+/PFu2bMncuXOLigMAAAAApVdooQcAAAAAnFmFPXILAAAAAJx5hRd6x48fzzXXXJMXXnjhtHUHDx7MmjVr0tHRkY0bN+bkyZNFxwEAAACAUiu00PvRj36Uj3zkIzl8+PCY6++4447ceeedefTRR1OtVrN79+4i4wAAAABA6RVa6O3evTt33XVXWlpaTlv34osv5sSJE7nyyiuTJGvWrElvb2+RcQAAAACg9OYUufHNmzePu66/vz+VSmVkuVKppK+vr8g4AAAAAFB6s/ZHMYaHh9PU1DSyXK1WRy0DAAAAAKcr9Bt6E2ltbc3AwMDI8ssvvzzmo7kTOXLkeIaHq2Ouq1QWZmDg2Iwyng0a5TiSxjuWmZpo/tZbI52bxPFMZnszMdbcLeuYy11fM81d5LW3rGNaT8aotonGqIhr72T2i/GZjCLnblLf+96ynO8y5CxDxsS1dzpknz1TyV9r/s7aN/SWLl2aefPm5cknn0yS7N27NytWrJitOAAAAABQCnUv9Lq6uvLjH/84SXLfffdly5Yt+dCHPpQ33ngj69atq3ccAAAAACiVujxy+/jjj4/8e/v27SP/vuyyy/LQQw/VIwIAAAAANIRZe+QWAAAAAJg6hR4AAAAAlIhCDwAAAABKpC6/oQfUx8K3Lcj8eVP/z/pnQ6cKSAMAAAAUQaEHDWT+vDnp/PTeKX+u5/7rCkgDAAAAFMEjtwAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlEihhV5PT09Wr16dVatWZceOHaetf/rpp3PDDTfk2muvzcc//vG89tprRcYBAAAAgNIrrNDr6+vL1q1bs3PnzuzZsye7du3KoUOHRr1n8+bN6e7uziOPPJJ3vetd+frXv15UHAAAAABoCIUVevv378+yZcuyaNGiNDc3p6OjI729vaPeMzw8nNdffz1JMjg4mPnz5xcVBwAAAAAaQmGFXn9/fyqVyshyS0tL+vr6Rr3ns5/9bDZt2pT3ve992b9/f2688cai4gAAAABAQ5hT1IaHh4fT1NQ0slytVkctnzhxIhs3bsyDDz6Y9vb2fOMb38hnPvOZbNu2bdL7WLz4wgnXVyoLpx78LNQox5E01rHMVK35W2+Ndm4cT3HGm7tnU8apkLu+Zjv3RNfe2c5WBsaotqLG6Fy57y2K8amtyDGq931vWc53GXKWIWPi2jsdss+eM5W/sEKvtbU1TzzxxMjywMBAWlpaRpafffbZzJs3L+3t7UmSD3/4w/nyl788pX0cOXI8w8PVMddVKgszMHBsGsnPLo1yHEnjHctMTTR/p2smuRrl3CSNNdeSM388M52/Y83dso653PU109xFXnvLOqb1ZIxqm2iMirj2Tma/GJ/JKHLuJsXc946nLOe7DDnLkDFx7Z0O2WfPVPLXmr+FPXK7fPnyHDhwIEePHs3g4GD27duXFStWjKy/+OKL89JLL+W5555Lkjz22GNpa2srKg4AAAAANITCvqG3ZMmSrF+/PuvWrcvQ0FDWrl2b9vb2dHV1pbu7O21tbdmyZUtuv/32VKvVLF68OHfffXdRcQAAAACgIRRW6CVJZ2dnOjs7R722ffv2kX+vXLkyK1euLDICAAAAADSUwh65BQAAAADOPIUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAokUILvZ6enqxevTqrVq3Kjh07Tlv/3HPP5eabb861116bW265Ja+++mqRcQAAAACg9Aor9Pr6+rJ169bs3Lkze/bsya5du3Lo0KGR9dVqNZ/4xCfS1dWVRx55JO95z3uybdu2ouIAAAAAQEMorNDbv39/li1blkWLFqW5uTkdHR3p7e0dWf/000+nubk5K1asSJLceuutuemmm4qKAwAAAAANYU5RG+7v70+lUhlZbmlpyVNPPTWy/Pzzz+eiiy7Khg0bcvDgwVxyySX53Oc+N6V9LF584YTrK5WFUwt9lmqU40ga61hmqtb8rbdGOzeOpzjjzd2zKeNUyF1fs517omvvbGcrA2NUW1FjdK7c9xbF+NRW5BjV+763LOe7DDnLkDFx7Z0O2WfPmcpfWKE3PDycpqamkeVqtTpq+eTJk/nBD36Qb3/722lra8uXvvSl3HPPPbnnnnsmvY8jR45neLg65rpKZWEGBo5N/wDOEo1yHEnjHctMTTR/p2smuRrl3CSNNdeSM388M52/Y83dso653PU109xFXnvLOqb1ZIxqm2iMirj2Tma/GJ/JKHLuJsXc946nLOe7DDnLkDFx7Z0O2WfPVPLXmr+FPXLb2tqagYGBkeWBgYG0tLT8s2CVXHzxxWlra0uSXHPNNaO+wQcAAAAAnK6wQm/58uU5cOBAjh49msHBwezbt2/k9/KS5KqrrsrRo0fzzDPPJEkef/zxXH755UXFAQAAAICGUNgjt0uWLMn69euzbt26DA0NZe3atWlvb09XV1e6u7vT1taWr371q9m0aVMGBwfT2tqae++9t6g4AAAAANAQCiv0kqSzszOdnZ2jXtu+ffvIv6+44oo89NBDRUYAAAAAgIYyqUduh4eH81//63/NZz7zmRw/fjxf+9rXcurUqaKzAQAAAABvMalC7957782zzz478kcr/vIv/zJbtmwpNBgAAAAAcLpJFXoHDhzIPffck3nz5uXCCy/Mn/7pn+av//qvi1nOSjIAACAASURBVM4GAAAAALzFpAq9OXPm5Lzz/umtc+fOzZw5hf78HgAAAAAwhkm1cr/0S7+UHTt25NSpU3nuuefy4IMP5rLLLis6GwAAAADwFpP6ht7GjRvz9NNP58iRI/noRz+aN954Ixs2bCg6GwAAAADwFpP6ht6FF16YT3ziE7n77rtz/PjxPP/883n7299edDYAAAAA4C0m9Q29b33rW/nkJz+ZJHnllVfy7//9v8//+B//o9BgAAAAAMDpJlXo7dq1K3/2Z3+WJPmX//JfZs+ePfnmN79ZaDAAAAAA4HSTKvROnTqVCy+8cGR54cKFaWpqKiwUAAAAADC2SRV6l1xySe6777787d/+bf72b/82X/7yl/Ov/tW/KjgaAAAAAPBWkyr0/vAP/zCHDx/O9ddfn7Vr1+bw4cP5/Oc/X3A0AAAAAOCtJvVXbi+66KL8yZ/8SdFZAAAAAIAaJiz0Nm/enI0bN+bWW28dc/1/+S//pZBQAAAAAMDYJiz0fu3Xfi1J0tHRUZcwAAAAAMDEJiz0PvCBDyRJ9uzZk//23/5bXQIBAAAAAOOb1B/FOHbsWN54442iswAAAAAANUzqj2IsWLAg73//+3PppZemubl55HW/oQeN4WdDp1KpLJzWZ0+8eTLHXhs8w4kAAACA8dQs9J599tl88IMfzPve9760trbWIxNQZ3MvOD+dn947rc/23H9djp3hPAAAAMD4Jiz0/vzP/zxf/OIXc/HFF+f555/Pfffdl1//9V+vVzYAAAAA4C0mLPS+9a1vpaenJ0uWLMkPf/jDbN26VaEHAAAAALOo5h/FWLJkSZLkqquuyiuvvFJ4IAAAAABgfBMWek1NTaOWzz///ELDAAAAAAATq/kNvX/urQUfAAAAAFBfExZ6/+f//J/8yq/8ysj//nH5qquuyq/8yq/U3HhPT09Wr16dVatWZceOHeO+73vf+14+8IEPTD09AAAAAJxjJvyjGP/rf/2vaW+4r68vW7duzcMPP5y5c+fmxhtvzNVXX513v/vdo9738ssv54tf/OK09wMAAAAA55IJv6G3dOnSCf83kf3792fZsmVZtGhRmpub09HRkd7e3tPet2nTpnzqU5+a2VEAAAAAwDliSr+hNxX9/f2pVCojyy0tLenr6xv1nm9+85t573vfmyuuuKKoGAAAAADQUCZ85HYmhoeHR/0RjWq1Omr52Wefzb59+/Lggw/mpZdemtY+Fi++cML1lcrCaW33bNMox5E01rHMVK35WyZn43k9GzPNxNl0POPN3bMp41TIXV+znXuia+9sZysDY1RbUWN0rtz3FsX41FbkGNX7vrcs57sMOcuQMXHtnQ7ZZ8+Zyl9Yodfa2ponnnhiZHlgYCAtLS0jy729vRkYGMgNN9yQoaGh9Pf356Mf/Wh27tw56X0cOXI8w8PVMddVKgszMHBs+gdwlmiU40ga71hmaqL5O12zdWE7285rI8215Mwfz0znyVhzt6xjLnd9zTR3kdfeso5pPRmj2iYaoyKuvZPZL8ZnMoqcu0kx973jKcv5LkPOMmRMXHunQ/bZM5X8teZvYY/cLl++PAcOHMjRo0czODiYffv2ZcWKFSPru7u78+ijj2bv3r3Ztm1bWlpaplTmAQAAAMC5qLBCb8mSJVm/fn3WrVuX66+/Ptdcc03a29vT1dWVH//4x0XtFgAAAAAaWmGP3CZJZ2dnOjs7R722ffv20973C7/wC3n88ceLjAIAAAAADaGwb+gBAAAAAGeeQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAokUILvZ6enqxevTqrVq3Kjh07Tlv/ne98J9ddd12uvfbafPKTn8yrr75aZBwAAAAAKL3CCr2+vr5s3bo1O3fuzJ49e7Jr164cOnRoZP3x48fz+c9/Ptu2bcsjjzySSy+9NF/5yleKigMAAAAADaGwQm///v1ZtmxZFi1alObm5nR0dKS3t3dk/dDQUO66664sWbIkSXLppZfm7/7u74qKAwAAAAANobBCr7+/P5VKZWS5paUlfX19I8tvf/vb85u/+ZtJkhMnTmTbtm35jd/4jaLiAAAAAEBDmFPUhoeHh9PU1DSyXK1WRy3/o2PHjuW2227LZZddlt/5nd+Z0j4WL75wwvWVysIpbe9s1SjHkTTWscxUrflbJmfjeT0bM83E2XQ8483dsynjVMhdX7Ode6Jr72xnKwNjVFtRY3Su3PcWxfjUVuQY1fu+tyznuww5y5Axce2dDtlnz5nKX1ih19ramieeeGJkeWBgIC0tLaPe09/fn1tuuSXLli3Lhg0bpryPI0eOZ3i4Oua6SmVhBgaOTXmbZ5tGOY6k8Y5lpiaav9M1Wxe2s+28NtJcS8788cx0now1d8s65nLX10xzF3ntLeuY1pMxqm2iMSri2juZ/WJ8JqPIuZsUc987nrKc7zLkLEPGxLV3OmSfPVPJX2v+FvbI7fLly3PgwIEcPXo0g4OD2bdvX1asWDGy/tSpU7n11lvzW7/1W9m4ceOY394DAAAAAEYr7Bt6S5Ysyfr167Nu3boMDQ1l7dq1aW9vT1dXV7q7u/PSSy/lpz/9aU6dOpVHH300SfLLv/zL2bx5c1GRAAAAAKD0Civ0kqSzszOdnZ2jXtu+fXuSpK2tLc8880yRuwcAAACAhlPYI7cAAAAAwJmn0AMAAACAEin0kVug8f1s6NS0/nrUiTdP5thrgwUkAgAAgMam0IOzzMK3Lcj8eeX5T3PuBeen89N7p/y5nvuvS3n/2DgAAADMnvK0BnCOmD9vzrQKsuQfSjIAAACgsfkNPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAicyZ7QDAuelnQ6dSqSyc1mdPvHkyx14bPMOJAAAAoBwUesCsmHvB+en89N5pfbbn/uty7AznAQAAgLLwyC0AAAAAlIhCDwAAAABKxCO3QOlM5vf3xlrvt/cAAABoBAo9oHSm+/t7fnsPAACARuCRWwAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAicyZ7QAA9fKzoVOpVBZO67Mn3jyZY68NnuFEAAAAMHWFFno9PT154IEHcvLkyXzsYx/LTTfdNGr9wYMHs3Hjxrz++uv51V/91fzhH/5h5szRMQLFmHvB+en89N5pfbbn/uty7AznAQAAgOko7JHbvr6+bN26NTt37syePXuya9euHDp0aNR77rjjjtx555159NFHU61Ws3v37qLiAAAAAEBDKKzQ279/f5YtW5ZFixalubk5HR0d6e3tHVn/4osv5sSJE7nyyiuTJGvWrBm1HgAAAAA4XWHPt/b396dSqYwst7S05Kmnnhp3faVSSV9f35T2cd55TTNaXxaNchxJYx3LTBmLcpnp7++9fvzElD/3cxfOz/x5/3CZnuq+p7vPyRhv7pZ1TstdX7Ode6L9z3a2MjBGtRU1RufKfW9RjE9tRY5Rvce/LOe7DDnLkDFx7Z0O2WfPmcrfVK1Wq2dkS2/xwAMP5M0338ztt9+eJNm9e3d+8pOf5Atf+EKS5Mknn8z999+fnTt3JkkOHz6cW2+91bf0AAAAAGAChT1y29ramoGBgZHlgYGBtLS0jLv+5ZdfHrUeAAAAADhdYYXe8uXLc+DAgRw9ejSDg4PZt29fVqxYMbJ+6dKlmTdvXp588skkyd69e0etBwAAAABOV9gjt0nS09OTr33taxkaGsratWvT1dWVrq6udHd3p62tLc8880w2bdqU48eP5/LLL8+WLVsyd+7couIAAAAAQOkVWugBAAAAAGdWYY/cAgAAAABnXuGF3vHjx3PNNdfkhRdeOG3dwYMHs2bNmnR0dGTjxo05efJk0XEAAAAAoNQKLfR+9KMf5SMf+UgOHz485vo77rgjd955Zx599NFUq9Xs3r27yDgAAAAAUHqFFnq7d+/OXXfdlZaWltPWvfjiizlx4kSuvPLKJMmaNWvS29tbZBwAAAAAKL05RW588+bN467r7+9PpVIZWa5UKunr6ysyDgAAAACU3qz9UYzh4eE0NTWNLFer1VHLAAAAAMDpCv2G3kRaW1szMDAwsvzyyy+P+WjuRI4cOZ7h4eqY6yqVhRkYODajjGeDRjmOpPGOZaYmmr/11kjnJnE8k9neTIw1d8s65nLX10xzF3ntLeuY1pMxqm2iMSri2juZ/WJ8JqPIuZvU9763LOe7DDnLkDFx7Z0O2WfPVPLXmr+z9g29pUuXZt68eXnyySeTJHv37s2KFStmKw4AAAAAlELdC72urq78+Mc/TpLcd9992bJlSz70oQ/ljTfeyLp16+odBwAAAABKpS6P3D7++OMj/96+ffvIvy+77LI89NBD9YgAAAAAAA1h1h65BQAAAACmTqEHAAAAACWi0AMAAACAEqnLb+gBAOeWhW9bkPnzTr/NqFQWTvi5E2+ezLHXBouKBQAADUGhBwCccfPnzUnnp/dO+XM991+XYwXkAQCARuKRWwAAAAAoEd/QAwDGNN5jswAAwOxylw4AjGm6j80m//DoLAAAUAyP3AIAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAicwpcuM9PT154IEHcvLkyXzsYx/LTTfdNGr9008/nTvvvDNDQ0N5xzvekT/+4z/O2972tiIjAcA5ZeHbFmT+vEL/7x4AAKizwu7w+/r6snXr1jz88MOZO3dubrzxxlx99dV597vfPfKezZs3p7u7OytXrsw999yTr3/961m/fn1RkQDgnDN/3px0fnrvtD7bc/91ZzgNAABwJhT2yO3+/fuzbNmyLFq0KM3Nzeno6Ehvb++o9wwPD+f1119PkgwODmb+/PlFxQEAAACAhlDYN/T6+/tTqVRGlltaWvLUU0+Nes9nP/vZ/Nt/+29z9913Z8GCBdm9e/eU9rF48YUTrq9UFk5pe2erRjmOpLGOZaZqzd96a7Rz43iKM97cPZsyToXcZ58ij22ia28jj+mZYoxqK2qMzpX73qIYn9pm69pbhLKc7zLkLEPGxLV3OmSfPWcqf2GF3vDwcJqamkaWq9XqqOUTJ05k48aNefDBB9Pe3p5vfOMb+cxnPpNt27ZNeh9HjhzP8HB1zHWVysIMDByb/gGcJRrlOJLGO5aZmmj+1lsjnZvE8UxmezMx1twt65ifC7nLeMMz3rEVee0t61yoJ2NU20RjVMS1dzL7xfhMRpFzN6nvfW9ZzncZcpYhY+LaOx2yz54zeR9f2CO3ra2tGRgYGFkeGBhIS0vLyPKzzz6befPmpb29PUny4Q9/OD/4wQ+KigMAAAAADaGwQm/58uU5cOBAjh49msHBwezbty8rVqwYWX/xxRfnpZdeynPPPZckeeyxx9LW1lZUHAAAAABoCIU9crtkyZKsX78+69aty9DQUNauXZv29vZ0dXWlu7s7bW1t2bJlS26//fZUq9UsXrw4d999d1FxAAAAAKAhFFboJUlnZ2c6OztHvbZ9+/aRf69cuTIrV64sMgIAAAAANJTCHrkFAAAAAM48hR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIoUWej09PVm9enVWrVqVHTt2nLb+ueeey80335xrr702t9xyS1599dUi4wAAAABA6RVW6PX19WXr1q3ZuXNn9uzZk127duXQoUMj66vVaj7xiU+kq6srjzzySN7znvdk27ZtRcUBAAAAgIZQWKG3f//+LFu2LIsWLUpzc3M6OjrS29s7sv7pp59Oc3NzVqxYkSS59dZbc9NNNxUVBwAAAAAawpyiNtzf359KpTKy3NLSkqeeempk+fnnn89FF12UDRs25ODBg7nkkkvyuc99bkr7WLz4wgnXVyoLpxb6LNUox5E01rHMVK35W2+Ndm4cT3HGm7tnU8apkPvsU+SxTXTtbeQxPVOMUW1FjdG5ct9bFONT22xde4tQlvNdhpxlyJi49k6H7LPnTOUvrNAbHh5OU1PTyHK1Wh21fPLkyfzgBz/It7/97bS1teVLX/pS7rnnntxzzz2T3seRI8czPFwdc12lsjADA8emfwBniUY5jqTxjmWmJpq/9dZI5yZxPJPZ3kyMNXfLOubnQu4y3vCMd2xFXnvLOhfqyRjVNtEYFXHtncx+MT6TUeTcTep731uW812GnGXImLj2Tofss+dM3scX9shta2trBgYGRpYHBgbS0tLyz4JVcvHFF6etrS1Jcs0114z6Bh8AAAAAcLrCvqG3fPnyfOUrX8nRo0ezYMGC7Nu3L3/0R380sv6qq67K0aNH88wzz+Syyy7L448/nssvv7yoOABQagvftiDz5/3T/22X8Zt3AADAmVFYobdkyZKsX78+69aty9DQUNauXZv29vZ0dXWlu7s7bW1t+epXv5pNmzZlcHAwra2tuffee4uKAwClNn/enHR+eu+UP9dz/3UFpAEAAGZTYYVeknR2dqazs3PUa9u3bx/59xVXXJGHHnqoyAgAAAAA0FAK+w09AAAA4P+xd/9BVpUHmvifVgJCJIOL3fSWblwTM7oa0HF3VsLO4FbWQMLYokKCMQZ343Tir3TJZsxkBSWJQ9REw8y4WSNkKo4ZcCSOI3SSalhDWc4U1GQ1O8FVLNYiP1ntbiFBQDDddH//+GZ6bGn6dtOc25zL51NlVZ977j33ed/z1uH61D3dAEefQg8AAAAASqRiobdv37584QtfyLXXXptf/epXueOOO7Jv375qZAMAAAAA3qJiofcnf/Inecc73pGdO3dm3Lhx2bt3b+64445qZAMAAAAA3qJiobd169YsWrQoY8aMyfjx43Pvvfdm69at1cgGAAAAALxFxULvhBP6P+XgwYOHPAYAAAAAVMeYSk/43d/93XzlK1/JgQMH8nd/93dZtWpVLrroompkAwAAAADeouJX7f7oj/4oEyZMyMSJE7N8+fKcffbZ+exnP1uNbAAAAADAW1T8ht7b3va23HTTTbnpppuqkQcAAAAAGETFQu/9739/6urq+rbr6uoyfvz4vOc978nnPve5NDQ0FBoQAAAAAPhnFQu9Sy65JPv27cvHPvaxnHDCCXnssceyb9++nH322bnjjjvy9a9/vRo5AQAAAIAM4XfoPfPMM1m2bFnOPffcnHPOOVmyZEn+7//9v/nP//k/Z8eOHdXICAAAAAD8RsVCb9++fdm7d2/f9t69e7N///5CQwEAAAAAA6t4y+28efPykY98JB/84AfT09OT//k//2c+/OEP51vf+lbe9a53VSMjAAAAAPAbFb+h98lPfjL/7b/9t+zZsydvvPFGbrjhhnz3u9/NhRdemGXLllUjIwAAAADwGxULvSSZNm1a6uvr893vfjdf+MIX8vu///s577zzcvLJJxedDwAAAAB4k0Fvud2+fXv+8i//MuvWrctpp52WN954Ixs3bszEiROrlQ8AAAAAeJPDfkPvk5/8ZK655pq87W1vy8MPP5zvfOc7efvb367MAwAAAIBRdNhC74UXXsh5552X97znPTnjjDOSJHV1dVULBgAAAAAc6rCF3lNPPZUrrrgi3/nOd/J7v/d7aWlpyRtvvFHNbAAAAADAWxy20BszZkzmzJmTb33rW3n88cfT0NCQN954I7NmzcojjzxSzYwAAAAAwG8M6a/cnnXWWVmyZEmefvrpXHfddVmzZk3RuQAAAACAAQz6V27favz48VmwYEEWLFhQVB4AqFkT3zE+J40b1j+9AAAAh/B/FQBQJSeNG5Omz6w9ote23jf3KKcBAADKaki33B6p1tbWzJkzJ7NmzcqqVasO+7ynnnoq73//+4uMAgAAAAA1obBv6LW3t2f58uV5/PHHM3bs2Fx11VW56KKLctZZZ/V73quvvpp77rmnqBgAAAAAUFMK+4bepk2bMn369EyaNCkTJkzI7Nmz09bWdsjzlixZkptvvrmoGAAAAABQUwor9Do6OlJfX9+33dDQkPb29n7Pefjhh3Puuefm/PPPLyoGAAAAANSUwm657enpSV1dXd92b29vv+1t27Zlw4YNeeihh/LKK68c0XtMnnzyoPvr6yce0XGPNbUyjqS2xjJSldZvtdXauTGe4hxu7R5LGYejrLlrWZHnZLBrr7VQmTmqrKg5Ol4+9xbF/FQ2WtfeIpTlfJchZxkyJq69R0L20XO08hdW6DU2NuaZZ57p2+7s7ExDQ0PfdltbWzo7OzNv3rx0dXWlo6MjV199dVavXj3k99i5c296enoH3FdfPzGdnXuOfADHiFoZR1J7YxmpwdZvtdXSuUmMZyjHG4mB1m5Z57zaucv+4aNaDndOirz2lnUNV5M5qmywOSri2juU98X8DEWRazep7ufespzvMuQsQ8bEtfdIyD56hpO/0vot7JbbGTNmZPPmzdm1a1f279+fDRs2ZObMmX37W1pasn79+qxduzYrVqxIQ0PDsMo8AAAAADgeFVboTZkyJYsWLcrChQtz+eWX59JLL820adPS3Nyc5557rqi3BQAAAICaVtgtt0nS1NSUpqamfo+tXLnykOedfvrp2bhxY5FRAAAAAKAmFPYNPQAAAADg6FPoAQAAAECJFHrLLQDUoonvGJ+TxvknFAAAGB3+bwQAhumkcWPS9Jm1w35d631zC0gDAAAcb9xyCwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBECi30WltbM2fOnMyaNSurVq06ZP+TTz6ZuXPn5rLLLsuNN96Y3bt3FxkHAAAAAEpvTFEHbm9vz/Lly/P4449n7Nixueqqq3LRRRflrLPOSpLs3bs3n//85/M3f/M3mTJlSv7sz/4s999/f5YsWVJUJADoM/Ed45Mk9fUTRzkJAADA8BRW6G3atCnTp0/PpEmTkiSzZ89OW1tbbr755iRJV1dXli5dmilTpiRJzj777LS2thYVB4AaNfEd43PSuCP756zpM2uP6HWt9809otcBAAAcDYUVeh0dHamvr+/bbmhoyJYtW/q2TznllHzgAx9Ikhw4cCArVqzIxz/+8aLiAFCjTho35oiKOaUcAABQVoUVej09Pamrq+vb7u3t7bf9T/bs2ZObbrop55xzTq644ophvcfkyScPur9WbqOqlXEktTWWkaq0fqut1s6N8RTncGv3WMpIuRW5lga79lrDlZmjyoqao+Plc29RzE9lo3XtLUJZzncZcpYhY+LaeyRkHz1HK39hhV5jY2OeeeaZvu3Ozs40NDT0e05HR0euu+66TJ8+Pbfddtuw32Pnzr3p6ekdcF99/cR0du4Z9jGPNbUyjqT2xjJSg63faqulc5MYz1CONxIDrd3RnPOy/4POoQ63loq89tbadaMI5qiyweaoiGvvUN4X8zMURa7dpLqfe8tyvsuQswwZE9feIyH76BlO/krrt7C/cjtjxoxs3rw5u3btyv79+7Nhw4bMnDmzb//Bgwdz/fXX50Mf+lAWL1484Lf3AAAAAID+CvuG3pQpU7Jo0aIsXLgwXV1dmT9/fqZNm5bm5ua0tLTklVdeyQsvvJCDBw9m/fr1SZL3vve9WbZsWVGRAAAAAKD0Civ0kqSpqSlNTU39Hlu5cmWSZOrUqXnxxReLfHsAAAAAqDmF3XILAAAAABx9Cj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRMaMdgAAmPiO8TlpnH+SAAAAhsL/PQEw6k4aNyZNn1l7RK9tvW/uUU4DAABwbHPLLQAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRMaMdgAAasfEd4zPSeP80wIAAFAk/9cFwFFz0rgxafrM2mG/rvW+uQWkAQAAqE1uuQUAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlEihhV5ra2vmzJmTWbNmZdWqVYfs37p1a6688srMnj07ixcvTnd3d5FxAAAAAKD0Civ02tvbs3z58qxevTpPPPFEHn300bz00kv9nnPrrbfmjjvuyPr169Pb25s1a9YUFQcAAAAAakJhhd6mTZsyffr0TJo0KRMmTMjs2bPT1tbWt3/Hjh05cOBALrjggiTJlVde2W8/AAAAAHCoMUUduKOjI/X19X3bDQ0N2bJly2H319fXp729fVjvccIJdSPaXxa1Mo6kkv7ucQAAIABJREFUtsYyUsfaXBxreUbKeIpzuCzHUkbKrci1NNixreHKzFFlRc3R8fK5tyjmp7LRuvbWwvsdqTLkLEPGxLX3SMg+eo5W/rre3t7eo3Kkt3jggQfyxhtv5JZbbkmSrFmzJv/n//yffPGLX0ySPPvss7nvvvuyevXqJMlPfvKTXH/99b6lBwAAAACDKOyW28bGxnR2dvZtd3Z2pqGh4bD7X3311X77AQAAAIBDFVbozZgxI5s3b86uXbuyf//+bNiwITNnzuzbf9ppp2XcuHF59tlnkyRr167ttx8AAAAAOFRht9wmSWtrax588MF0dXVl/vz5aW5uTnNzc1paWjJ16tS8+OKLWbJkSfbu3Zvzzjsvd911V8aOHVtUHAAAAAAovUILPQAAAADg6CrsllsAAAAA4OgrvNDbu3dvLr300vziF784ZN/WrVtz5ZVXZvbs2Vm8eHG6u7uLjgMAAAAApVZoofejH/0oH/3oR/OTn/xkwP233npr7rjjjqxfvz69vb1Zs2ZNkXEAAAAAoPQKLfTWrFmTpUuXpqGh4ZB9O3bsyIEDB3LBBRckSa688sq0tbUVGQcAAAAASm9MkQdftmzZYfd1dHSkvr6+b7u+vj7t7e1FxgEAAACA0hu1P4rR09OTurq6vu3e3t5+2wAAAADAoQr9ht5gGhsb09nZ2bf96quvDnhr7mB27tybnp7eAffV109MZ+eeEWU8FtTKOJLaG8tIDbZ+q62Wzk1iPEM53kgMtHbLOudyV9dIcxd57S3rnFaTOapssDkq4to7lPfF/AxFkWs3qe7n3rKc7zLkLEPGxLX3SMg+eoaTv9L6HbVv6J122mkZN25cnn322STJ2rVrM3PmzNGKAwAAAAClUPVCr7m5Oc8991yS5N57781dd92VD37wg3n99dezcOHCascBAAAAgFKpyi23Gzdu7Pt55cqVfT+fc845eeyxx6oRAQAAAABqwqjdcgsAAAAADJ9CDwAAAABKRKEHAAAAACVSld+hBwAAZTDxHeNz0rgj+4j8666DRzkNAMDAFHoAAPAbJ40bk6bPrD2i17beN/copwEAGJhbbgEAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUSKGFXmtra+bMmZNZs2Zl1apVh+x//vnnM2/evFx22WX51Kc+lddee63IOAAAAABQeoUVeu3t7Vm+fHlWr16dJ554Io8++mheeumlfs9ZtmxZWlpasm7dupx55pn5i7/4i6LiAAAAAEBNKKzQ27RpU6ZPn55JkyZlwoQJmT17dtra2vo9p6enJ/v27UuS7N+/PyeddFJRcQAAAACgJtT19vb2FnHgBx98MK+//noWLVqUJPn2t7+dLVu25M477+x7zj/+4z/mE5/4RCZMmJDx48dnzZo1OeWUU4qIAwAAQ9L0mbVH9LrW++Ye5SQAAAMbU9SBe3p6UldX17fd29vbb/vAgQNZvHhxHnrooUybNi3f/OY388d//MdZsWLFkN9j58696ekZuI+sr5+Yzs49Rz6AY0StjCOpvbGM1GDrt9pq6dwkxjOU443EQGu3rHMud3WNNHeR196yzmk1HS9zNNJ1drg5KuLa++ZjHw/n5kiZn8oGm6Oyfe4ty/kuQ84yZEyKXb+1eu2VffQMJ3+l9VvYLbeNjY3p7Ozs2+7s7ExDQ0Pf9rZt2zJu3LhMmzYtSbJgwYL84Ac/KCoOAAAAANSEwgq9GTNmZPPmzdm1a1f279+fDRs2ZObMmX37zzjjjLzyyivZvn17kuT73/9+pk6dWlQcAAAAAKgJhd1yO2XKlCxatCgLFy5MV1dX5s+fn2nTpqW5uTktLS2ZOnVq7rrrrtxyyy3p7e3N5MmT86UvfamoOAAAAABQEwor9JKkqakpTU1N/R5buXJl388XX3xxLr744iIjAAAAAEBNKeyWWwAAAADg6FPoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlMiQCr377ruv6BwAAAAAwBAMqdB76qmnCo4BAAAAAAzFmKE86fTTT88nPvGJXHjhhXn729/e9/h/+S//ZdDXtba25oEHHkh3d3euvfbafOxjH+u3f/v27Vm6dGl2796d+vr6fPWrX81v/dZvHcEwAAAAAOD4MKRv6E2aNClTpkzJjh07sm3btr7/BtPe3p7ly5dn9erVeeKJJ/Loo4/mpZde6tvf29ubG264Ic3NzVm3bl3+zb/5N1mxYsXIRgMAAAAANW5I39C76667kiQ7duxId3d3zjjjjIqv2bRpU6ZPn55JkyYlSWbPnp22trbcfPPNSZLnn38+EyZMyMyZM5Mk119/fV577bUjGgQAAAAAHC+GVOj99Kc/zY033piOjo709PTklFNOyYMPPph3v/vdh31NR0dH6uvr+7YbGhqyZcuWvu2f/exnOfXUU3Pbbbdl69atede73pXbb799WOEnTz550P319ROHdbxjVa2MI6mtsYxUpfVbbbV2boynOIdbu8dSxuGQu7pGO/dg197RzlYG5qiyouboePncWxTzU1mRc1Ttz71lOd9lyFmGjIlr75GQffQcrfxDKvS++MUv5g//8A9zxRVXJEn+5m/+Jl/4whfy8MMPH/Y1PT09qaur69vu7e3tt93d3Z0f/OAH+au/+qtMnTo1f/qnf5q77747d99995DD79y5Nz09vQPuq6+fmM7OPUM+1rGqVsaR1N5YRmqw9VtttXRuEuMZyvFGYqC1W9Y5l7u6Rpq7yGtvWee0mo6XORrpOjvcHBVx7X3zsY+Hc3OkzE9lg81R2T73luV8lyFnGTImxa7fWr32yj56hpO/0vod0u/Q27lzZ1+ZlyTz5s3LL3/5y0Ff09jYmM7Ozr7tzs7ONDQ0vClYfc4444xMnTo1SXLppZf2+wYfAAAAAHCoIRV6Bw8ezK9+9au+7V27dlV8zYwZM7J58+bs2rUr+/fvz4YNG/p+X16S/M7v/E527dqVF198MUmycePGnHfeecPNDwAAAADHlSHdcnvNNddkwYIF+dCHPpS6urp873vfy7XXXjvoa6ZMmZJFixZl4cKF6erqyvz58zNt2rQ0NzenpaUlU6dOzde+9rUsWbIk+/fvT2NjY7785S8flUEBAAAAQK0aUqG3YMGCnHHGGfm7v/u79PT0ZOnSpZkxY0bF1zU1NaWpqanfYytXruz7+fzzz89jjz02zMgAAAAAcPwatNB7/vnn+36eOHFi5syZ02+fW2QBAAAAoLoGLfQ+/elPH3ZfXV1dvv/97x/1QAAAAADA4Q1a6G3cuLFaOQAAAACAIRjS79B7/fXX8+UvfzlPP/10uru78x/+w3/I4sWLc/LJJxedDwAAAAB4kxOG8qS77rorv/71r/O1r30t/+N//I/U1dXlzjvvLDobAAAAAPAWQ/qG3o9+9KOsW7eub/tP/uRP8gd/8AeFhQIAAAAABjakb+gdPHgwPT09fds9PT058cQTCwsFAAAAAAxsSN/Qe9/73pdbbrklH/3oR5MkjzzySC666KJCgwEAAAAAhxpSofe5z30uDzzwQL761a/m4MGD+f3f//3ceOONRWcDAAAAAN5iSIVeknz605/Opz/96XR0dKShoaHITAAAAADAYQz6O/T27NmTa665Jm1tbX2PLVmyJAsXLszevXsLDwcAAAAA9DdoofeVr3wlv/3bv50PfOADfY/99//+33PmmWfm3nvvLTwcAAAAANDfoLfc/vCHP8zatWv7/UXbsWPHZvHixbn88ssLDwcAAAAA9DfoN/Te9ra39Svz/snYsWMzbty4wkIBAAAAAAMbtNAbN25cdu3adcjjO3fuTG9vb2GhAAAAAICBDVroLViwIC0tLfn5z3/e99jPfvaz3HLLLZk3b17h4QAAAACA/gb9HXpXXHFF2tvbM3fu3IwfPz49PT3p7u5Oc3NzPv7xj1crIwAAAADwG4MWekly/fXX59prr8327dtzwgkn5N3vfnfGjh1bjWwAAAAAwFtULPSS5NOf/nS+8Y1v9HvsIx/5SNasWVNIKACAavp118HU1088otceeKM7e17bf5QTAQDA4Q1a6LW0tOTHP/5xfv7zn6epqanv8e7ubt/SAwBqxti3nZimz6w9ote23jc3e45yHgAAGMyghd5nP/vZ7NixI7fffntuv/32vsdPPPHEnHXWWYWHAwAAAAD6G7TQO/3003P66aenra0tv/71r/PTn/40v/3bv50DBw5k/Pjx1coIAAAAAPzGCUN50nPPPZdLLrkkn/rUp9Le3p7/+B//Y374wx8WnQ0AAAAAeIshFXr33HNPHnrooUyaNCmNjY358pe/nGXLlhWdDQAAAAB4iyEVegcOHOj3O/MuvvjiHDx4sOLrWltbM2fOnMyaNSurVq067POeeuqpvP/97x9KFAAAAAA4rg36O/T6njRmTHbv3p26urokyfbt2yu+pr29PcuXL8/jjz+esWPH5qqrrspFF110yB/TePXVV3PPPfccQXQAAAAAOP4M6Rt6119/fa655pq8/PLL+a//9b/mox/9aG644YZBX7Np06ZMnz49kyZNyoQJEzJ79uy0tbUd8rwlS5bk5ptvPrL0AAAAAHCcGfQber/61a+SJBdeeGG+9KUv5emnn84JJ5yQq6+++pBv2r1VR0dH6uvr+7YbGhqyZcuWfs95+OGHc+655+b8888/0vwAAAAAcFwZtNCbPn163222SdLb29v3c11dXbZu3XrY1/b09Bzy2jdvb9u2LRs2bMhDDz2UV1555YjCT5588qD76+snHtFxjzW1Mo6ktsYyUpXWb7XV2rkxnuIcbu0eSxmHQ+7qGu3cRV17R3tc1XK8jHMkipqj4+Vzb1HMT2VFzlG1P/eW5XyXIWcZMiauvUdC9tFztPIPWuhdfvnl+d//+3/n/e9/f+bNm1fxW3lv1tjYmGeeeaZvu7OzMw0NDX3bbW1t6ezszLx589LV1ZWOjo5cffXVWb169ZDfY+fOvenp6R1wX339xHR27hnysY5VtTKOpPbGMlKDrd9qq6VzkxjPUI43EgOt3bLOudzVNdLcRV57R3rsMp6P4SrruhuuotZCEdfeNx/7eDg3R8r8VDbYHJXtc29ZzncZcpYhY1Ls+q3Va6/so2c4+Sut30F/h97dd9+dJ554Iuecc06WLVuWBQsWZNWqVXnttdcqvvGMGTOyefPm7Nq1K/v378+GDRsyc+bMvv0tLS1Zv3591q5dmxUrVqShoWFYZR4AAAAAHI8q/lGM8ePHZ+7cufnmN7+ZP/uzP8vevXuzcOHC3HLLLYO+bsqUKVm0aFEWLlyYyy+/PJdeemmmTZuW5ubmPPfcc0dtAAAAAABwPBn0ltu32rVrV3bt2pVf/vKXmTx5csXnNzU1pampqd9jK1euPOR5p59+ejZu3DicKAAAAABwXKpY6L388stZt25d1q5dmxNPPDGXXXZZ1qxZkylTplQjHwAAAADwJoMWeh//+Mfz4x//OHPmzMm9996bc889t1q5AAAAAIABDFro/a//9b8ybty4fPvb385jjz3W93hvb2/q6urywx/+sPCAAAAAAMA/G7TQ+/73v1+tHAAAAADAEAxa6J122mnVygEAAAAADMEJox0AAAAAABg6hR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKpNBCr7W1NXPmzMmsWbOyatWqQ/Y/+eSTmTt3bi677LLceOON2b17d5FxAAAAAKD0Civ02tvbs3z58qxevTpPPPFEHn300bz00kt9+/fu3ZvPf/7zWbFiRdatW5ezzz47999/f1FxAAAAAKAmFFbobdq0KdOnT8+kSZMyYcKEzJ49O21tbX37u7q6snTp0kyZMiVJcvbZZ+fll18uKg4AAAAA1ITCCr2Ojo7U19f3bTc0NKS9vb1v+5RTTskHPvCBJMmBAweyYsWKXHLJJUXFAQAAAICaMKaoA/f09KSurq5vu7e3t9/2P9mzZ09uuummnHPOObniiiuG9R6TJ5886P76+onDOt6xqlbGkdTWWEaq0vqttlo7N8ZTnMOt3WMp43DIXV2jnbuoa+9oj6tajpdxjkRRc3S8fO4tivmprMg5qvbn3rKc7zLkLEPGxLX3SMg+eo5W/sIKvcbGxjzzzDN9252dnWloaOj3nI6Ojlx33XWZPn16brvttmG/x86de9PT0zvgvvr6iens3DPsYx5ramUcSe2NZaQGW7/VVkvnJjGeoRxvJAZau2Wdc7mra6S5i7z2jvTYZTwfw1XWdTdcRa2FIq69bz728XBujpT5qWywOSrb596ynO8y5CxDxqTY9Vur117ZR89w8ldav4Xdcjtjxoxs3rw5u3btyv79+7Nhw4bMnDmzb//Bgwdz/fXX50Mf+lAWL1484Lf3AAAAAID+CvuG3pQpU7Jo0aIsXLgwXV1dmT9/fqZNm5bm5ua0tLTklVdeyQsvvJCDBw9m/fr1SZL3vve9WbZsWVGRAAAAAKD0Civ0kqSpqSlNTU39Hlu5cmWSZOrUqXnxxReLfHsAAAAAqDmF3XILAAAAABx9Cj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRAot9FpbWzNnzpzMmjUrq1atOmT/1q1bc+WVV2b27NlZvHhxuru7i4wDAAAAAKVXWKHX3t6e5cuXZ/Xq1XniiSfy6KOP5qWXXur3nFtvvTV33HFH1q9fn97e3qxZs6aoOAAAAABQEwor9DZt2pTp06dn0qRJmTBhQmbPnp22tra+/Tt27MiBAwdywQUXJEmuvPLKfvsBAAAAgEONKerAHR0dqa+v79tuaGjIli1bDru/vr4+7e3tw3qPE06oG9H+sqiVcSS1NZaROtbm4ljLM1LGU5zDZTmWMg6H3NU12rmLev/RHle1HC/jHInRWmPOzeDMT2VFzlG1578s57sMOcuQMXHtPRKyj56jlb+wQq+npyd1df8csre3t992pf1Dccopbx90/+TJJw/reMeqWhlHUltjGalK67faau3cGE9xDrd2j6WMwyF3dY127sGuva33zT3i4472uKrleBnnsbgWjpfPvUUxP5UVOUfV/txblvNdhpxlyJi49h4J2UfP0cpf2C23jY2N6ezs7Nvu7OxMQ0PDYfe/+uqr/fYDAAAAAIcqrNCbMWNGNm/enF27dmX//v3ZsGFDZs6c2bf/tNNOy7hx4/Lss88mSdauXdtvPwAAAABwqLre3t7eog7e2tqaBx98MF1dXZk/f36am5vT3NyclpaWTJ06NS+++GKWLFmSvXv35rzzzstdd92VsWPHFhUHAAAAAEqv0EIPAAAAADi6CrvlFgAAAAA4+gov9Pbu3ZtLL700v/jFLw7Zt3Xr1lx55ZWZPXt2Fi9enO7u7qLjAAAAAECpFVro/ehHP8pHP/rR/OQnPxlw/6233po77rgj69evT29vb9asWVNkHAAAAAAovUILvTVr1mTp0qVpaGg4ZN+OHTty4MCBXHDBBUmSK6+8Mm1tbUXGAQAAAIDSG1PkwZctW3bYfR0dHamvr+/brq+vT3t7e5FxAAAAAKD0Ru2PYvT09KSurq5vu7e3t982AAAAAHCoQr+hN5jGxsZ0dnb2bb/66qsD3po7mJ0796anp3fAffX1E9PZuWdEGY8FtTKOpPbGMlKDrd9qq6VzkxjPUI43EgOt3bLOudzVNdLcRV57yzqn1WSOKhtsjoq49g7lfTE/Q1Hk2k2q+7m3LOe7DDnLkDFx7T0Sso+e4eSvtH5H7Rt6p512WsaNG5dnn302SbJ27drMnDlztOIAAAAAQClUvdBrbm7Oc889lyS59957c9ddd+WDH/xgXn/99SxcuLDacQAAAACgVKpyy+3GjRv7fl65cmXfz+ecc04ee+yxakQAAAAAgJowarfcAgAAAADDp9ADAAAAgBJR6AEAAABAiVTld+gBAADF+HXXwdTXTxz26w680Z09r+0vIBEAUDSFHgAAlNjYt52Yps+sHfbrWu+bmz0F5AEAiueWWwAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlUmih19ramjlz5mTWrFlZtWrVIfuff/75zJs3L5dddlk+9alP5bXXXisyDgAAAACUXmGFXnt7e5YvX57Vq1fniSeeyKOPPpqXXnqp33OWLVuWlpaWrFu3LmeeeWb+4i/+oqg4AAAAAFATCiv0Nm3alOnTp2fSpEmZMGFCZs+enba2tn7P6enpyb59+5Ik+/fvz0knnVRUHAAAAACoCXW9vb29RRz4wQcfzOuvv55FixYlSb797W9ny5YtufPOO/ue84//+I/5xCc+kQkTJmT8+PFZs2ZNTjnllCLiAABAzWr6zNphv6b1vrkFJAEAqmFMUQfu6elJXV1d33Zvb2+/7QMHDmTx4sV56KGHMm3atHzzm9/MH//xH2fFihVDfo+dO/emp2fgPrK+fmI6O/cc+QCOEbUyjqT2xjJSg63faqulc5MYz1CONxIDrd2yzrnc1TXS3EVee8s6p9VkjiobbI6KuPYejWMfD+fU2q2syLWbVPdzb1nOdxlyliFjMrrX3jLMz0BkHz3DyV9p/RZ2y21jY2M6Ozv7tjs7O9PQ0NC3vW3btowbNy7Tpk1LkixYsCA/+MEPiooDAAAAADWhsEJvxowZ2bx5c3bt2pX9+/dnw4YNmTlzZt/+M844I6+88kq2b9+eJPn+97+fqVOnFhUHAAAAAGpCYbfcTpkyJYsWLcrChQvT1dWV+fPnZ9q0aWlubk5LS0umTp2au+66K7fcckt6e3szefLkfOlLXyoqDgAAAADUhMIKvSRpampKU1NTv8dWrlzZ9/PFF1+ciy++uMgIAAAAAFBTCrvlFgAAAAA4+hR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiQyr09u3blyT59a9/nZ07dxYaCAAAAAA4vIqF3ve+971cccUVSZIdO3bkD/7gD7Jx48bCgwEAAAAAh6pY6H3961/Pww8/nCQ588wz87d/+7e5//77Cw8GAAAAAByqYqHX09OTxsbGvu1/+S//ZXp6egoNBQAAAAAMrGKh9y/+xb/IX//1X6e7uzsHDx7MY489llNPPbUa2QAAAACAt6hY6H3hC1/ImjVrMm3atEybNi1r1qzJ0qVLq5ENAAAAAHiLMZWecOaZZ+bxxx/P7t27c+KJJ+bkk08e8sFbW1vzwAMPpLu7O9dee20+9rGP9du/ffv2LF26NLt37059fX2++tWv5rd+67eGPwoAAAAAOE4cttBbuXJlmpubc+edd6auru6Q/UuWLBn0wO3t7Vm+fHkef/zxjB07NldddVUuuuiinHXWWUmS3t7e3HDDDVm8eHFmzpyZe++9NytWrMitt946wiEBAAAAQO06bKE3ceLEJMkpp5xyRAfetGlTpk+fnkmTJiVJZs+enba2ttx8881Jkueffz4TJkzIzJkzkyTXX399XnvttSN6LwAAAAA4Xhy20LvqqquS/P9/FOPqq6/ut2/FihUVD9zR0ZH6+vq+7YaGhmzZsqVv+2c/+1lOPfXU3Hbbbdm6dWve9a535fbbbx9W+MmTB7/9t75+4rCOd6yqlXEktTWWkaq0fqut1s6N8RTncGv3WMo4HHJX12jnHuzaO9rZysAcVVbUHBX1ueF4OafHyzhHosg5qvbn3rKc7zLkLEPGZPSuvWWZn4HIPnqOVv7DFnqPPPJIDhw4kIceeihvvPFG3+NdXV3567/+63zyk58c9MA9PT39btXt7e3tt93d3Z0f/OAH+au/+qtMnTo1f/qnf5q77747d99995DD79y5Nz09vQPuq6+fmM7OPUM+1rGqVsaR1N5YRmqw9VtttXRuEuMZyvFGYqC1W9Y5l7u6Rpq7yGtvWee0msxRZYPNURHX3qNx7OPhnFq7lRW5dpPlCJ3aAAAgAElEQVTqfu4ty/kuQ84yZExG99pbhvkZiOyjZzj5K63fwxZ6Y8aMybZt23LgwIFs27at7/ETTzwxn/vc5yq+cWNjY5555pm+7c7OzjQ0NLwpWH3OOOOMTJ06NUly6aWXpqWlpeJxAQAAAOB4dthC78Mf/nA+/OEP58knn8wll1wy7APPmDEj999/f3bt2pXx48dnw4YNufPOO/v2/87v/E527dqVF198Meecc042btyY884778hGAQAAAADHicMWev/kwgsvzEMPPZR9+/alt7c3PT09+elPf5r77rtv0NdNmTIlixYtysKFC9PV1ZX58+dn2rRpaW5uTktLS6ZOnZqvfe1rWbJkSfbv35/GxsZ8+ctfPmoDAwAAAIBaVLHQu+WWW3LSSSflpZdeyowZM7Jp06b823/7b4d08KampjQ1NfV7bOXKlX0/n3/++XnssceGGRkAAAAAjl8nVHrC//t//y8rVqzIzJkzc8011+SRRx7J9u3bq5ENAAAAAHiLioXeqaeemiT51//6X2fbtm2ZMmVKuru7Cw8GAAAAAByq4i23kydPzje+8Y1ccMEFuf/++3PyySfnwIED1cgGAAAAALxFxW/offGLX8zYsWPz7/7dv8t73/ve/Pmf/3n+6I/+qBrZAAAAAIC3GNI39BYuXJgkufXWW3PrrbcWHgoAAAAAGFjFQu973/te/vzP/zy7d+/u9/jmzZsLCwUAAAAADKxiofeVr3wlS5YsyTvf+c5q5AEAAAAABlGx0DvttNPyn/7Tf6pGFgAAAACggoqF3uWXX5577rknM2fOzJgx//z03/3d3y00GAAAAABwqIqF3j/8wz/k6aefzt///d/3e7y1tbWwUAAAAADAwCoWei+88EKefvrpjBs3rhp5AAAAAIBBnFDpCaeeemq6u7urkQUAAAAAqKDiN/SmTJmSuXPnZsaMGRk7dmzf40uWLCk0GAAAAABwqIqF3jvf+c68853vrEYWAAAAAKCCioXezTffnH379uX5559Pd3d3pk2blpNPPrka2QAAAACAt6hY6G3ZsiU33nhjTj311Bw8eDDt7e35+te/ngsvvLAa+QAAAACAN6lY6N1zzz259957M3369CTJ5s2bc/fdd2fNmjWFhwMAAAAA+qv4V2737dvXV+Ylyfve977s37+/0FAAAAAAwMAqFnp1dXXZsWNH3/YvfvGLnHjiiYWGAgAAAAAGVvGW25tuuikLFizI+973vtTV1eXv//7vs3Tp0mpkAwAAAADeomKhd8kll+TMM8/MP/zDP6Snpyef+tSn8u53v7sa2QAAAACAt6hY6P3hH/5hvvGNb/Qr8T7ykY/4oxgAAAAAMAoOW+i1tLTkxz/+cX7+85+nqamp7/Hu7u6MHTu2KuEAAAAAgP4OW+h99rOfzY4dO3L77bfn9ttv73v8xBNPzFlnnVWVcAAAAABAf4ct9E4//fScfvrpWb9+ferq6o7o4K2trXnggQfS3d2da6+9Nh/72McGfN5TTz2VL37xi9m4ceMRvQ8AAAAAHC8q/g69yy67bMDHW1tbB31de3t7li9fnscffzxjx47NVVddlYsuuuiQb/e9+uqrueeee4YRGQAAAACOXxULvTffbtvV1ZXvfve7+Vf/6l9VPPCmTZsyffr0TJo0KUkye/bstLW15eabb+73vCVLluTmm2/OfffdN9zsAAAAAHDcqVjo/ft//+/7bc+YMSNXXXVVbrjhhkFf19HRkfr6+r7thoaGbNmypd9zHn744Zx77rk5//zzh5MZAAAAAI5bFQu9t/rlL3+Zjo6Ois/r6enp97v3ent7+21v27YtGzZsyEMPPZRXXnlluDGSJJMnnzzo/vr6iUd03GNNrYwjqa2xjFSl9VtttXZujKc4h1u7x1LG4ZC7ukY792DX3tHOVgbmqLKi5qiozw3Hyzk9XsY5EkXOUbU/95blfJchZxkyJqN37S3L/AxE9tFztPJXLPSampr6fu7t7c3LL7+cBQsWVDxwY2Njnnnmmb7tzs7ONDQ09G23tbWls7Mz8+bNS1dXVzo6OnL11Vdn9erVQw6/c+fe9PT0Drivvn5iOjv3DPlYx6paGUdSe2MZqcHWb7XV0rlJjGcoxxuJgdZuWedc7uoaae4ir71lndNqMkeVDTZHRVx7j8axj4dzau1WVuTaTar7ubcs57sMOcuQMRnda28Z5mcgso+e4eSvtH6H9Tv06urq8sMf/jBPPvlkxTeeMWNG7r///uzatSvjx4/Phg0bcuedd/btb2lpSUtLS5LkF7/4RRYuXDisMg8AAAAAjkdD+h16u3fvzqOPPppVq1bl9ddfz8c//vGKB54yZUoWLVqUhQsXpqurK/Pnz8+0adPS3NyclpaWTJ069agMAAAAAACOJ4MWetu3b89f/uVfZt26dTnttNNy4MCBbNy4MRMnDu1rq01NTf1u2U2SlStXHvK8008/PRs3bhxGbAAAAAA4Pp1wuB2f/OQnc8011+Rtb3tbHn744XznO9/J29/+9iGXeQAAAADA0XfYQu+FF17Ieeedl/e85z0544wzkqTfX6kFAAAAAKrvsIXeU089lSuuuCLf+c538nu/93tpaWnJG2+8Uc1sAAAAAMBbHLbQGzNmTObMmZNvfetbefzxx9PQ0JA33ngjs2bNyiOPPFLNjAAAAADAbxy20Huzs846K0uWLMnTTz+d6667LmvWrCk6FwAAAAAwgCEVev9k/PjxWbBgQf72b/+2qDwAAAAAwCCGVegBAAAAAKNLoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJVJoodfa2po5c+Zk1qxZWbVq1SH7n3zyycydOzeXXXZZbrzxxuzevbvIOAAAAABQeoUVeu3t7Vm+fHlWr16dJ554Io8++mheeumlvv179+7N5z//+axYsSLr1q3L2Wefnfvvv7+oOAAAAABQEwor9DZt2pTp06dn0qRJmTBhQmbPnp22tra+/V1dXVm6dGmmTJmSJDn77LPz8ssvFxUHAAAAAGpCYYVeR0dH6uvr+7YbGhrS3t7et33KKafkAx/4QJLkwIEDWbFiRS655JKi4gAAAABATRhT1IF7enpSV1fXt93b29tv+5/s2bMnN910U84555xcccUVw3qPyZNPHnR/ff3EYR3vWFUr40hqaywjVWn9VlutnRvjKc7h1u6xlHE45K6u0c492LV3tLOVgTmqrKg5Kupzw/FyTo+XcY5EkXNU7c+9ZTnfZchZhozJ6F17yzI/A5F99Byt/IUVeo2NjXnmmWf6tjs7O9PQ0NDvOR0dHbnuuusyffr03HbbbcN+j50796anp3fAffX1E9PZuWfYx/z/2Lv/KL3Kwk7g38GQXyVuEGeSnpSD3eqCYkJs3RJjCdUtGQkZsoRUEZa44hlEpbOmiBWSBYRCkMqJBaklKYWjJJbIoYSxZyep5oBHklWhKC4/iikHrSCTSeJCAhMyybz7x7ajQ+ZnJnfeuW8+n79y3/vOfb/Pc5+5eed73jsz1tTKOJLaG8tIDbR+R1stnZvEeIZyvJHoa+2Wdc7lHl0jzV3ktbesczqazNHgBpqjIq69h+PYR8I5tXYHV+TaTUb3fW9ZzncZcpYhY1Lda28Z5qcvslfPcPIPtn4Lu+V27ty52bp1a3bt2pXOzs5s2rQp8+bN69l/4MCBXHLJJTnzzDOzfPnyPj+9BwAAAAD0Vtgn9KZNm5Zly5Zl6dKl6erqypIlSzJr1qw0NzenpaUlL774Yp588skcOHAgGzduTJK8853vzPXXX19UJAAAAAAovcIKvSRpampKU1NTr8fWrFmTJJk5c2aefvrpIl8eAAAAAGpOYbfcAgAAAACHn0IPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJTKu2gEAAAAYuSlvnJSJE4b/I96+rgMFpAGgSAo9AACAGjBxwrg0XbZh2F/XevOiAtIAUCS33AIAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAokUILvdbW1ixYsCDz58/P2rVrD9r/1FNPZfHixWlsbMzy5cuzf//+IuMAAAAAQOkVVui1t7dn1apVWbduXe6///7cc8892bZtW6/nXH755bnqqquycePGVCqVrF+/vqg4AAAAAFATxhV14C1btmTOnDmZOnVqkqSxsTFtbW259NJLkyTPP/989u7dm9mzZydJFi9enFtuuSXnn3/+kF/jqKPqRrS/LGplHEltjWWkxtpcjLU8I2U8xekvy1jKOBxyj65q5x7o9audrQzM0eCKmqOyHXesOVLGORJFztFoz39ZzncZcpYhY1K9a2RZ5qcvslfP4cpfWKG3ffv21NfX92w3NDTk8ccf73d/fX192tvbh/Uaxx77GwPuP+64Y4Z1vLGqVsaR1NZYRmqw9Tvaau3cGE9x+lu7YynjcMg9uqqde6Brb7WzlYE5GlxRczTY+4bWmxcd0nGPlHN6pIwzGZtrYbTf95blfJchZxkyJtW79pZlfvoie/UcrvyF3XLb3d2durpftY6VSqXX9mD7AQAAAICDFVboTZ8+PR0dHT3bHR0daWho6Hf/jh07eu0HAAAAAA5WWKE3d+7cbN26Nbt27UpnZ2c2bdqUefPm9eyfMWNGJkyYkEcffTRJsmHDhl77AQAAAICD1VUqlUpRB29tbc3tt9+erq6uLFmyJM3NzWlubk5LS0tmzpyZp59+OitWrMiePXty8sknZ+XKlRk/fnxRcQAAAACg9Aot9AAAAACAw6uwW24BAAAAgMOv8EJvz549WbhwYX7+858ftO+pp57K4sWL09jYmOXLl2f//v1FxwEAAACAUiu00PvRj36UD3/4w3nuuef63H/55ZfnqquuysaNG1OpVLJ+/foi4wAAAABA6RVa6K1fvz5XX311GhoaDtr3/PPPZ+/evZk9e3aSZPHixWlraysyDgAAAACU3rgiD3799df3u2/79u2pr6/v2a6vr097e3uRcQAAAACg9Aot9AbS3d2durq6nu1KpdJreyh27tyT7u6+/0hvff2UdHTsHlHGsaBWxpHU3lhGaqD1O9pq6dwkxjOU441EX2u3rHMu9+gaae4ir71lndPRZI4GN9AcFXHtHcrrYn6Gosi1m4zu+96ynO8y5CxDxsS191DIXj3DyT/Y+q3aX7mdPn16Ojo6erZ37NjR5625AAAAAMCvVK3QmzFjRiZMmJBHH300SbJhw4bMmzevWnEAAAAAoBRGvdBrbm7Oj3/84yTJF7/4xaxcuTIf+MAH8uqrr2bp0qWjHQcAAAAASmVUfofe5s2be/69Zs2ann+fdNJJuffee0cjAgAAAADUhKrdcgsAAAAADJ9CDwAAAABKZFRuuQUAAIAj0ZQ3TsrECQf/6F1fP2XQr9372v7sfrmziFhAySn0AAAAoCATJ4xL02UbDulrW29elN2HOQ9QG9xyCwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBECi30Wltbs2DBgsyfPz9r1649aP8TTzyRc889N2effXY+/vGP5+WXXy4yDgAAAACUXmGFXnt7e1atWpV169bl/vvvzz333JNt27b1es7111+flpaWPPDAA/nt3/7t3HHHHUXFAQAAAICaUFiht2XLlsyZMydTp07N5MmT09jYmLa2tl7P6e7uziuvvJIk6ezszMSJE4uKAwAAAAA1oa5SqVSKOPDtt9+eV199NcuWLUuSfOMb38jjjz+e6667ruc5P/zhD3PRRRdl8uTJmTRpUtavX59jjz22iDgAAABQFU2XbTikr2u9edFhTgLUinFFHbi7uzt1dXU925VKpdf23r17s3z58tx1112ZNWtW7rzzzvzZn/1ZVq9ePeTX2LlzT7q7++4j6+unpKNj96EPYIyolXEktTeWkRpo/Y62Wjo3ifEM5Xgj0dfaLeucyz26Rpq7yGtvWed0NJmjwQ00R0Vce4fyupifoShy7Saj+753LJ7vkc5htcYzFueyL669wyd79Qwn/2Drt7BbbqdPn56Ojo6e7Y6OjjQ0NPRsP/PMM5kwYUJmzZqVJPnQhz6U73//+0XFAQAAAICaUFihN3fu3GzdujW7du1KZ2dnNm3alHnz5vXsP+GEE/Liiy/m2WefTZJ8+9vfzsyZM4uKAwAAAAA1obBbbqdNm5Zly5Zl6dKl6erqypIlSzJr1qw0NzenpaUlM2fOzMqVK/PpT386lUolxx13XG644Yai4gAAAABATSis0EuSpqamNDU19XpszZo1Pf8+/fTTc/rppxcZAQAAAABqSmG33AIAAAAAh59CDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACiRQgu91tbWLFiwIPPnz8/atWsP2v/ss8/mwgsvzNlnn52Pfexjeemll4qMAwAAAAClV1ih197enlWrVmXdunW5//77c88992Tbtm09+yuVSj7xiU+kubk5DzzwQN7+9rdn9erVRcUBAAAAgJpQWKG3ZcuWzJkzJ1OnTs3kyZPT2NiYtra2nv1PPPFEJk+enHnz5iVJLrnkklxwwQVFxQEAAACAmlBYobd9+/bU19f3bDc0NKS9vb1n+2c/+1ne/OY358orr8w555yTq6++OpMnTy4qDgAAAADUhHFFHbi7uzt1dXU925VKpdf2/v378/3vfz933313Zs6cmS996Uu58cYbc+ONNw75NY477pgB99fXTxl+8DGoVsaR1NZYRmqw9Tvaau3cGE9x+lu7YynjcMg9uqqde6Brb7WzlYE5GlxRc3SkvO8tivkZXJFzNNrve2vtfFdzPGWZS9fe4ZO9eg5X/sIKvenTp+eRRx7p2e7o6EhDQ0PPdn19fU444YTMnDkzSbJw4cK0tLQM6zV27tyT7u5Kn/vq66eko2P3ISQfW2plHEntjWWkBlq/o62Wzk1iPEM53kj0tXbLOudyj66R5i7y2lvWOR1N5mhwA81REdfeobwu5mcoily7yei+7x2L53ukc1it8YzFueyLa+/wyV49w8k/2Pot7JbbuXPnZuvWrdm1a1c6OzuzadOmnt+XlyTvete7smvXrjz99NNJks2bN+fkk08uKg4AAAAA1ITCPqE3bdq0LFu2LEuXLk1XV1eWLFmSWbNmpbm5OS0tLZk5c2Zuu+22rFixIp2dnZk+fXpuuummouIAAAAAQE0orNBLkqampjQ1NfV6bM2aNT3/PuWUU3LvvfcWGQEAAAAAakpht9wCAAAAAIefQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiQxa6G3dujU/+clPerbvuuuubN26tdBQAAAAAEDfBiz0vv3tb+czn/lMXnrppZ7HJk6cmMsvvzwPPfRQ4eEAAAAAgN4GLPRWr16dO+64I+9+97t7HjvvvPPy13/91/nKV75SeDgAAAAAoLcBC73XXnstJ5100kGPv/Od78yrr75aWCgAAAAAoG8DFnrd3d397qtUKoc9DAAAAAAwsAELvZNPPjmtra0HPf7Nb34zb3nLW4rKBAAAAAD0Y9xAOz/96U/nwx/+cL7zne/kd3/3d9Pd3Z0f/vCH+cEPfpCvfe1ro5URAAAAAPg3A35Cb9q0abn33ntzwgkn5KGHHsrDDz+ct73tbdmwYUOOP/740coIAAAAAPybAQu9ffv25Qtf+EJOPPHE/PVf/3X+6q/+Ko8++mhuvPHG7N+/f7QyAgAAAAD/ZsBC75ZbbsmePXvyu7/7uz2PXXvttXnppZdy6623Fh4OAAAAAOhtwELvwQcfzM0335zjjjuu57Fp06blpptuyre+9a3CwwEAAAAAvQ1Y6B199NGZOHHiQY8fc8wxGT9+fGGhAAAAAIC+DVjoHXXUUdmzZ89Bj+/Zs8fv0AMAAACAKhiw0Fu4cGFWrFiRV199teexV199NStWrMj8+fMLDwcAAAAA9DZgofeRj3wkU6ZMyXvf+9588IMfzJIlS/Le9743b3zjG/OpT31qtDICAAAAAP9m3EA7jzrqqFx33XW55JJL8sQTT+Soo47KrFmz0tDQMFr5AAAAAIBfM2Ch9+9mzJiRGTNmFJ0FAAAAABjEgLfcAgAAAABji0IPAAAAAEqk0EKvtbU1CxYsyPz587N27dp+n/fggw/m/e9/f5FRAAAAAKAmDOl36B2K9vb2rFq1Kvfdd1/Gjx+f8847L6eeemre+ta39nrejh078oUvfKGoGAAAAABQUwr7hN6WLVsyZ86cTJ06NZMnT05jY2Pa2toOet6KFSty6aWXFhUDAAAAAGpKYYXe9u3bU19f37Pd0NCQ9vb2Xs/56le/mne84x055ZRTiooBAAAAADWlsFtuu7u7U1dX17NdqVR6bT/zzDPZtGlT7rrrrrz44ouH9BrHHXfMgPvr66cc0nHHmloZR1JbYxmpwdbvaKu1c2M8xelv7Y6ljMMh9+iqdu6Brr3VzlYG5mhwRc3RkfK+tyjmZ3BFztFov++ttfNdzfGUZS5de4dP9uo5XPkLK/SmT5+eRx55pGe7o6MjDQ0NPdttbW3p6OjIueeem66urmzfvj3nn39+1q1bN+TX2LlzT7q7K33uq6+fko6O3Yc+gDGiVsaR1N5YRmqg9TvaauncJMYzlOONRF9rt6xzLvfoGmnuIq+9ZZ3T0WSOBjfQHBVx7R3K62J+hqLItZuM7vvesXi+RzqH1RrPWJzLvrj2Dp/s1TOc/IOt38JuuZ07d262bt2aXbt2pbOzM5s2bcq8efN69re0tGTjxo3ZsGFDVq9enYaGhmGVeQAAAABwJCqs0Js2bVqWLVuWpUuX5r/+1/+ahQsXZtasWWlubs6Pf/zjol4WAAAAAGpaYbfcJklTU1Oampp6PbZmzZqDnvdbv/Vb2bx5c5FRAAAAAKAmFPYJPQAAAADg8FPoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKZFy1AwAAAHDkmfLGSZk44dB+JN372v7sfrnzMCcCKA+FHgAAAKNu4oRxabpswyF9bevNi7L7MOcBKBO33AIAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlUmih19ramgULFmT+/PlZu3btQfu/9a1vZdGiRTn77LPzyU9+Mi+99FKRcQAAAACg9Aor9Nrb27Nq1aqsW7cu999/f+65555s27atZ/+ePXtyzTXXZPXq1XnggQdy4okn5tZbby0qDgAAAADUhMIKvS1btmTOnDmZOnVqJk+enMbGxrS1tfXs7+rqytVXX51p06YlSU488cT84he/KCoOAAAAANSEwgq97du3p76+vme7oaEh7e3tPdvHHntszjjjjCTJ3r17s3r16vzRH/1RUXEAAAAAoCaMK+rA3d3dqaur69muVCq9tv/d7t2786lPfSonnXRSzjnnnGG9xnHHHTPg/vr6KcM63lhVK+NIamssIzXY+h1ttXZujKc4/a3dsZRxOOQeXdXOPdC1t9rZysAcDa6oOTpS3vcWxfwMrsg5Kup9b3+Za+18V3M8ZZlL197hk716Dlf+wgq96dOn55FHHunZ7ujoSENDQ6/nbN++PR/72McyZ86cXHnllcN+jZ0796S7u9Lnvvr6Keno2D3sY441tTKOpPbGMlIDrd/RVkvnJjGeoRxvJPpau2Wdc7lH10hzF3ntLeucjiZzNLiB5qiIa+9QXhfzMxRFrt1k4GvvSPSVeSye7yLGORrG4lz2xbV3+GSvnuHkH2z9FlbozZ07N7feemt27dqVSZMmZdOmTbnuuut69h84cCCXXHJJzjzzzHzyk58sKgYAAAA1Zl/XgUP6hN7e1/Zn98udRcUCGDWFFXrTpk3LsmXLsnTp0nR1dWXJkiWZNWtWmpub09LSkhdffDFPPvlkDhw4kI0bNyZJ3vnOd+b6668vKhIAAAA1YPzRb0jTZRuG/XWtNy9KeT/bA/ArhRV6SdLU1JSmpqZej61ZsyZJMnPmzDz99NNFvjwAAAAA1JzC/sotAAAAAHD4KfQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKZFy1AwAAAABHrilvnJSJEw6tntjXdeAwp4FyUOgBAAAAVTNxwrg0XbbhkL629eZFhzkNlINbbgEAAACgRBR6ALp3JWQAACAASURBVAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASUegBAAAAQIko9AAAAACgRBR6AAAAAFAiCj0AAAAAKBGFHgAAAACUiEIPAAAAAEpEoQcAAAAAJaLQAwAAAIASGVftAAAAAED5TXnjpEycoGaA0eA7DQAAABixiRPGpemyDcP+utabFxWQBmpbobfctra2ZsGCBZk/f37Wrl170P6nnnoqixcvTmNjY5YvX579+/cXGQcAAAAASq+wT+i1t7dn1apVue+++zJ+/Picd955OfXUU/PWt7615zmXX355/vzP/zyzZ8/OlVdemfXr1+f8888vKhIAAAAwgF+/bba+fkqV0wD9KazQ27JlS+bMmZOpU6cmSRobG9PW1pZLL700SfL8889n7969mT17dpJk8eLFueWWW4ZV6B11VN2I9pdFrYwjqa2xjNRYm4uxlmekjKc4/WUZSxmHQ+7RVe3cA71+tbOVgTkaXFFzdKS87y2K+RlckXM01uZ/rOUZzGjnPdTbZpPq3Trr2jt8slfP4cpfV6lUKoflSK9z++2359VXX82yZcuSJN/4xjfy+OOP57rrrkuSPPbYY7npppvy9a9/PUny05/+NBdffHE2btxYRBwAAAAAqAmF/Q697u7u1NX9qnWsVCq9tgfbDwAAAAAcrLBCb/r06eno6OjZ7ujoSENDQ7/7d+zY0Ws/AAAAAHCwwgq9uXPnZuvWrdm1a1c6OzuzadOmzJs3r2f/jBkzMmHChDz66KNJkg0bNvTaDwAAAAAcrLDfoZckra2tuf3229PV1ZUlS5akubk5zc3NaWlpycyZM/P0009nxYoV2bNnT04++eSsXLky48ePLyoOAAAAAJReoYUeAAAAAHB4FXbLLQAAAABw+BVe6O3ZsycLFy7Mz3/+84P2PfXUU1m8eHEaGxuzfPny7N+/v+g4AAAAAFBqhRZ6P/rRj/LhD384zz33XJ/7L7/88lx11VXZuHFjKpVK1q9fX2QcAAAAACi9Qgu99evX5+qrr05DQ8NB+55//vns3bs3s2fPTpIsXrw4bW1tRcYBAAAAgNIbV+TBr7/++n73bd++PfX19T3b9fX1aW9vLzIOAAAAAJReoYXeQLq7u1NXV9ezXalUem0Pxc6de9Ld3fcf6a2vn5KOjt0jyjgW1Mo4ktoby0gNtH5HWy2dm8R4hnK8kehr7ZZ1zuUeXSPNXeS1t6xzOprM0eAGmqMirr1DeV3Mz1AUuXaT0X3fW5bzXYacZciYuPYeCtmrZzj5B1u/Vfsrt9OnT09HR0fP9o4dO/q8NRcAAAAA+JWqFXozZszIhAkT8uijjyZJNmzYkHnz5lUrDgAAAACUwqgXes3Nzfnxj3+cJPniF7+YlStX5gMf+EBeffXVLF26dLTjAAAAAECpjMrv0Nu8eXPPv9esWdPz75NOOin33nvvaEQAAAAAgJpQtVtuAQAAAIDhU+gBAAAAQImMyi23AAAAALViX9eB1NdPGfbX7X1tf3a/3FlAIo40Cj0AAACAYRh/9BvSdNmGYX9d682LsruAPBx53HILAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACUyrtoBAAAAAI4E+7oOpL5+yiF97d7X9mf3y52HORFlpdADAAAAGAXjj35Dmi7bcEhf23rzouw+zHkoL7fcAgAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJFFrotba2ZsGCBZk/f37Wrl170P4nnngi5557bs4+++x8/OMfz8svv1xkHAAAAAAovcIKvfb29qxatSrr1q3L/fffn3vuuSfbtm3r9Zzrr78+LS0teeCBB/Lbv/3bueOOO4qKAwAAAAA1obBCb8uWLZkzZ06mTp2ayZMnp7GxMW1tbb2e093dnVdeeSVJ0tnZmYkTJxYVBwAAAABqwriiDrx9+/bU19f3bDc0NOTxxx/v9ZzPfe5zueiii3LDDTdk0qRJWb9+/bBe47jjjhlwf339lGEdb6yqlXEktTWWkRps/Y62Wjs3xlOc/tbuWMo4HHKPrmrnHujaW+1sZWCOBlfUHB0p73uLYn4GV+Qcjfb73rKc7zLkLEPGpHrX3mo4XGMty7ntS5mzJ4cvf2GFXnd3d+rq6nq2K5VKr+29e/dm+fLlueuuuzJr1qzceeed+bM/+7OsXr16yK+xc+eedHdX+txXXz8lHR27D30AY0StjCOpvbGM1EDrd7TV0rlJjGcoxxuJvtZuWedc7tE10txFXnvLOqejyRwNbqA5KuLaO5TXxfwMRZFrNxnd971lOd9lyFmGjEl1r73VcDjOSVnObV/KnD0ZXv7B1lhht9xOnz49HR0dPdsdHR1paGjo2X7mmWcyYcKEzJo1K0nyoQ99KN///veLigMAAAAANaGwQm/u3LnZunVrdu3alc7OzmzatCnz5s3r2X/CCSfkxRdfzLPPPpsk+fa3v52ZM2cWFQcAAAAAakJht9xOmzYty5Yty9KlS9PV1ZUlS5Zk1qxZaW5uTktLS2bOnJmVK1fm05/+dCqVSo477rjccMMNRcUBAAAAgJpQWKGXJE1NTWlqaur12Jo1a3r+ffrpp+f0008vMgIAAAAA1JTCbrkFAAAAAA4/hR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIoUWeq2trVmwYEHmz5+ftWvXHrT/2WefzYUXXpizzz47H/vYx/LSSy8VGQcAAAAASq+wQq+9vT2rVq3KunXrcv/99+eee+7Jtm3bevZXKpV84hOfSHNzcx544IG8/e1vz+rVq4uKAwAAAAA1obBCb8uWLZkzZ06mTp2ayZMnp7GxMW1tbT37n3jiiUyePDnz5s1LklxyySW54IILiooDAAAAADVh0EKvvb39oMd+/ZN2/dm+fXvq6+t7thsaGnod62c/+1ne/OY358orr8w555yTq6++OpMnTx5qbgAAAAA4Io3rb8f//b//N0nS3Nycr33ta6lUKkmS/fv359JLL+31abu+dHd3p66urme7Uqn02t6/f3++//3v5+67787MmTPzpS99KTfeeGNuvPHGIYc/7rhjBtxfXz9lyMcay2plHEltjWWkBlu/o63Wzo3xFKe/tTuWMg6H3KOr2rkHuvZWO1sZmKPBFTVHR8r73qKYn8EVOUej/b63LOe7DDnLkDGp3rW3Gg7XWMtybvtS5uzJ4cvfb6F32WWX5eGHH06SnHrqqb/6gnHj0tjYOOiBp0+fnkceeaRnu6OjIw0NDT3b9fX1OeGEEzJz5swkycKFC9PS0jKs8Dt37kl3d6XPffX1U9LRsXtYxxuLamUcSe2NZaQGWr+jrZbOTWI8QzneSPS1dss653KPrpHmLvLaW9Y5HU3maHADzVER196hvC7mZyiKXLvJ6L7vLcv5LkPOMmRMqnvtrYbDcU7Kcm77UubsyfDyD7bG+i307rjjjiTJFVdckZUrVw4j3v83d+7c3Hrrrdm1a1cmTZqUTZs25brrruvZ/653vSu7du3K008/nZNOOimbN2/OySefPOzXAQAAAIAjSb+F3r9buXJl2tvbs3Pnzp7bbpMMWr5NmzYty5Yty9KlS9PV1ZUlS5Zk1qxZaW5uTktLS2bOnJnbbrstK1asSGdnZ6ZPn56bbrpp5CMCAAAAgBo2aKH3pS99KX/7t3+bN7/5zT2P1dXV5dvf/vagB29qakpTU1Ovx9asWdPz71NOOSX33nvvcPICAAAAwBFt0ELvgQceyObNm3sVegAAAABAdRw12BOOPfZYZR4AAAAAjBH9fkLviSeeSJK84x3vyJ//+Z+nqakp48b96un+gAUAAAAAjL5+C70/+ZM/6bW9efPmnn8P9XfoAQAAAACHV7+F3q8XeAAAAADA2DDoH8W44oorem3X1dVl0qRJedvb3pY//uM/zhve8IbCwgEAAAAAvQ36RzGS5Mknn8yJJ56Yt7/97dm2bVteeOGFfPe7380NN9xQdD4AAAAA4NcM+gm9f/mXf8natWtzzDHHJEn++I//OBdddFHWrVuXhQsXFh4QAAAAAPiVQT+h99JLL/WUeUkyceLE7NmzJ3V1dTn66KMLDQcAAAAA9DboJ/Rmz56dz3zmM1myZEkqlUruu+++zJo1Kw899FAmTZo0GhkBAAAAgH8z6Cf0Pv/5z+c3f/M3s3LlyvzFX/xFjj/++Fx11VV55ZVXcu21145GRgAAAADg3wz6Cb2JEyfmsssuy2WXXdbr8QULFhQWCgAAAADoW7+F3oc//OF8/etfz7ve9a7U1dX1PF6pVFJXV5d/+qd/GpWAAAAAAMCv9Fvo/eVf/mWS5Jvf/OaohQEAAAAABtbv79BraGhIksyYMSM//vGPs379+rzpTW/KY489lhkzZoxaQAAAAADgVwb9oxirV6/O17/+9bS1tWXv3r358pe/nNtuu200sgEAAAAArzNoofcP//APWbNmTSZNmpRjjz0269evdxsuAAAAAFTJoIXeuHHjMn78+J7tN77xjRk3btA/jgsAAAAAFGDQZu43f/M38+CDD6auri779u3LHXfc4XfoAQAAAECV9PsJvT179iRJ/uf//J+5884788///M+ZPXt2vvOd7+Sqq64atYAAAAAAwK/0+wm997znPfm93/u9/OEf/mGuueaaTJ8+PQcOHMgxxxwzmvkAAAAAgF/Tb6H30EMP5X//7/+drVu35u67785RRx2V008/PX/4h3+Y3//938/RRx89mjkBAAAAgAxQ6L3pTW/KggULsmDBgiTJ888/ny1btuQv/uIv8tOf/jSPPfbYqIUEAAAAAP6/Qf8oxr/+679m8+bNefjhh/Pkk0/m5JNPzgc/+MHRyAYAAAAAvE6/hd6qVauyefPmvPLKKznttNNy/vnn5z3veU8mTJgw5IO3trbmK1/5Svbv35+PfOQjueCCC/p83oMPPphrr702mzdvHv4IAAAAAOAI0m+hd/vtt+f9739/Lr744syePXvYB25vb8+qVaty3333Zfz48TnvvPNy6qmn5q1vfWuv5+3YsSNf+MIXhp8cAAAAAI5AR/W3o62tLf/5P//n3HzzzTnttNPyuc99Lm1tbdmzZ8+QDrxly5bMmTMnU6dOzeTJk9PY2Ji2traDnrdixYpceumlhz4CAAAAADiC9FvoveUtb8lHP/rRfO1rX8s//MM/5A/+4A/yj//4jznrrLPy0Y9+dNADb9++PfX19T3bDQ0NaW9v7/Wcr371q3nHO96RU045ZQRDAAAAAIAjx6B/FCNJXnjhhezatSv79u3L0UcfnaOO6rcH7NHd3Z26urqe7Uql0mv7mWeeyaZNm3LXXXflxRdfPIToyXHHHTPg/vr6KYd03LGmVsaR1NZYRmqw9Tvaau3cGE9x+lu7YynjcMg9uqqde6Brb7WzlYE5GlxRc3SkvO8tivkZXJFzNNrve8tyvsuQswwZk+pde6vhcI21LOe2L2XOnhy+/P0Wel/72tfyve99Lz/4wQ/yH/7Df8i8efOyZMmSnHrqqZk4ceKgB54+fXoeeeSRnu2Ojo40NDT0bLe1taWjoyPnnntuurq6sn379px//vlZt27dkMPv3Lkn3d2VPvfV109JR8fuIR9rrKqVcSS1N5aRGmj9jrZaOjeJ8QzleCPR19ot65zLPbpGmrvIa29Z53Q0maPBDTRHRVx7h/K6mJ+hKHLtJqP7vrcs57sMOcuQManutbcaDsc5Kcu57UuZsyfDyz/YGuu30HvooYcyb968fOYzn8lb3vKWYQVMkrlz5+bWW2/Nrl27MmnSpGzatCnXXXddz/6Wlpa0tLQkSX7+859n6dKlwyrzAAAAAOBI1G+h9zd/8zcjOvC0adOybNmyLF26NF1dXVmyZElmzZqV5ubmtLS0ZObMmSM6PgAAAAAciYb0O/QOVVNTU5qamno9tmbNmoOe91u/9VvZvHlzkVEAAAAAoCYM/tctAAAAAIAxQ6EHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlIhCDwAAAABKRKEHAAAAACWi0AMAAACAElHoAQAAAECJKPQAAAAAoEQUegAAAABQIgo9AAAAACgRhR4AAAAAlEihhV5ra2sWLFiQ+fPnZ+3atQft/9a3vpVFixbl7LPPzic/+cm89NJLRcYBAAAAgNIrrNBrb2/PqlWrsm7dutx///255557sm3btp79e/bsyTXXXJPVq1fngQceyIknnphbb721qDgAAAAAUBMKK/S2bNmSOXPmZOrUqZk8eXIaGxvT1tbWs7+rqytXX311pk2bliQ58cQT84tf/KKoOAAAAABQEwor9LZv3576+vqe7YaGhrS3t/dsH3vssTnjjDOSJHv37s3q1avzR3/0R0XFAQAAAICaMK6oA3d3d6eurq5nu1Kp9Nr+d7t3786nPvWpnHTSSTnnnHOG9RrHHXfMgPvr66cM63hjVa2MI6mtsYzUYOt3tNXauTGe4vS3dsdSxuGQe3RVO/dA195qZysDczS4ouboSHnfWxTzM7gi52i03/eW5XyXIWcZMibVu/ZWw+Eaa1nObV/KnD05fPkLK/SmT5+eRx55pGe7o6MjDQ0NvZ6zffv2fOxjH8ucOXNy5ZVXDvs1du7ck+7uSp/76uunpKNj97CPOdbUyjiS2hvLSA20fkdbLZ2bxHiGcryR6GvtlnXO5R5dI81d5LW3rHM6mszR4AaaoyKuvUN5XczPUBS5dpPRfd9blvNdhpxlyJhU99pbDYfjnJTl3PalzNmT4eUfbI0Vdsvt3Llzs3Xr1uzatSudnZ3ZtGlT5s2b17P/wIEDueSSS3LmmWdm+fLlfX56DwAAAADorbBP6E2bNi3Lli3L0qVL09XVlSVLlmTWrFlpbm5OS0tLXnzxxTz55JM5cOBANm7cmCR55zvfmeuvv76oSAAAAABQeoUVeknS1NSUpqamXo+tWbMmSTJz5sw8/fTTRb48AAAAANScwm65BQAAAAAOP4UeAAAAAJSIQg8AAAAASqTQ36EHAAAAwMjt6zqQ+vopw/66va/tz+6XOwtIRDUp9AAAAADGuPFHvyFNl20Y9te13rwouwvIQ3W55RYAAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBJR6AEAAABAiSj0AAAAAKBEFHoAAAAAUCIKPQAAAAAoEYUeAAAAAJSIQg8AAAAASkShBwAAAAAlotADAAAAgBIZV+0AAAAAABRjX9eB1NdP6fXY67f789q+A5kw/g3Dfs29r+3P7pc7h/11DF2hhV5ra2u+8pWvZP/+/fnIRz6SCy64oNf+p556KsuXL88rr7ySd7/73fn85z+fceN0jAAAAACHw/ij35CmyzYc0te23rzokL629eZF2X1Ir8hQFXbLbXt7e1atWpV169bl/vvvzz333JNt27b1es7ll1+eq666Khs3bkylUsn69euLigMAAAAANaGwj8Nt2bIlc+bMydSpU5MkjY2NaWtry6WXXpokef7557N3797Mnj07SbJ48eLccsstOf/884f8GkcdVTei/WVRK+NIamssIzXW5mKs5Rkp4ylOf1nGUsbhkHt0VTv3QK9f7WxlYI4GV9QcHSnve4tifgZX5ByN9vyX5XyXIWcZMibVu/YysGqcl984ZmImThh+1bX3tf15Zc/ekcQassM1L3WVSqVyWI70OrfffnteffXVLFu2LEnyjW98I48//niuu+66JMljjz2Wm266KV//+teTJD/96U9z8cUXZ+PGjUXEAQAAAICaUNgtt93d3amr+1XrWKlUem0Pth8AAAAAOFhhhd706dPT0dHRs93R0ZGGhoZ+9+/YsaPXfgAAAADgYIUVenPnzs3WrVuza9eudHZ2ZtOmTZk3b17P/hkzZmTChAl59NFHkyQbNmzotR8AAAAAOFhhv0MvSVpbW3P77benq6srS5YsSXNzc5qbm9PS0pKZM2fm6aefzooVK7Jnz56cfPLJWblyZcaPH19UHAAAAAAovUILPQAAAADg8CrsllsAAAAA4PBT6AEAAABAiSj0AAAAAKBEFHoAAAAAUCI1V+i1trZmwYIFmT9/ftauXVvtOENy4YUX5qyzzsqiRYuyaNGi/OhHP+p3HFu2bElTU1Pmz5+fVatWVTH1r+zZsycLFy7Mz3/+8yT9Z3zqqaeyePHiNDY2Zvny5dm/f3+S5IUXXsgFF1yQD3zgA/nEJz6RV155pSrjSA4eyxVXXJH58+f3nJt//Md/TDL8MVZzDIfrfLz88su5+OKLc+aZZ+aCCy5IR0dH4WP58pe/nLPOOitnnXVWbrrpptKP5y//8i+zYMGCnHXWWbnzzjtLP56kXNfcvtZTf9/jY8lw/o8YK77xjW/05F20aFF+7/d+L9dee+2YmO/B5m4sXMerbbA5+vKXv5z3ve99PedxLK7Bor3+/9pfV9QasnYHZ+0OTTXW7+HQX+677747F154Yc92Nd8rvT7jY489lg9+8IM566yz8qd/+qfZt29fkur/XPT6nN/97ndz9tlnZ+HChfnsZz/bk7Oac1nkzwGDKfPPt6/Pfs8992ThwoVpamrKFVdcMWbW4FCy/7ux9D0+nPyj8v1fqSEvvvhi5X3ve1/ll7/8ZeWVV16pNDU1VX7yk59UO9aAuru7K3/wB39Q6erq6nmsv3F0dnZWTj/99MrPfvazSldXV+Wiiy6qPPjgg1VMX6n88Ic/rCxcuLBy8sknV/71X/91wIxnnXVW5bHHHqtUKpXKFVdcUVm7dm2lUqlULr744so3v/nNSqVSqXz5y1+u3HTTTWNiLJVKpbJw4cJKe3t7r+cdyhirNYbDeT4+//nPV26//fZKpVKp/P3f/33lf/yP/1HoWB5++OHKhz70ocprr71W2bdvX2Xp0qWV1tbW0o7ne9/7XuW8886rdHV1VTo7Oyvve9/7Kk899VRpx1OplOua29d62rRpU5/f42PJcP6PGKueeeaZyhlnnFHZuXNn1ed7KHNX7et4tQ1ljj7+8Y9X/umf/qlKCauvr/cLv66INWTtDs7aHZpqrN/Dob/cP/nJTyqnnXZa5b/9t//W81i13iu9PuPu3bsr733veytPPfVUpVKpVJYtW9Yzn9X8uaivuZw3b15l27ZtlUqlUvmTP/mTyvr16wfMU/RcFv1zwEDK/PPt67M/++yzlTPOOKOye/fuSnd3d+Wzn/1s5c477yxF9n83lr7Hh5N/tL7/a+oTelu2bMmcOXMyderUTJ48OY2NjWlra6t2rAE9++yzSZKLLrooZ599du6+++5+x/H444/nhBNOyPHHH59x48alqamp6uNbv359rr766jQ0NCRJvxmff/757N27N7Nnz06SLF68OG1tbenq6soPfvCDNDY29np8LIyls7MzL7zwQq688so0NTXllltuSXd397DHWM0xHM7z8eCDD6apqSlJsnDhwnznO99JV1dXYWOpr6/P5z73uYwfPz5HH310fud3fifPPfdcacfz+7//+/nqV7+acePGZefOnTlw4EBefvnl0o4nKdc1t6/19MILL/T5PT6WDOf/iLHqmmuuybJlyzJp0qSqz/dgczcWruPVNpT19X/+z//J7bffnqamplx77bV57bXXqpS2Ol7/f+2vK2oNWbuDs3aHphrr93DoK/e+ffty1VVXpaWlpeexar5Xen3Ghx9+OLNnz85JJ52UJFmxYkXOOOOMqv9c1NdcHjhwIHv27MmBAwfy2muvZcKECVWdy6J/DhjO/JTp59vXZx8/fnyuvvrqHHPMMamrq8t/+k//KS+88EIpsidj73t8OPlH6/u/pgq97du3p76+vme7oaEh7e3tVUw0uJdffjnvec97ctttt+Wuu+7K3/3d3+WFF17ocxxjcXzXX3993v3ud/ds95fx9Y/X19envb09v/zlL3PMMcdk3LhxvR6vhtePZceOHZkzZ05uuOGGrF+/Po888kjuvffeYY+xmmM4nOfj179m3LhxOeaYY7Jr167CxvK2t72t50L33HPP5X/9r/+Vurq60o4nSY4++ujccsstOeuss/Ke97yn1Ofn9a/56/nHor7W02mnndbn9/hYMpz/I8aiLVu2ZO/evTnzzDP7vaaOpsHW7Fi4jlfbYHP0yiuv5O1vf3suv/zy/P3f/31efvnl/NVf/VU1olbN6/+v/XVFrSFrd3DW7tBUY/0eDn3lvvnmm3Puuefm+OOP73msmu+VXp/xpz/9aSZPnpxly5Zl0aJFufXWW/PGN76x6j8X9TWX11xzTS688MKcdtpp+eUvf5kPfOADVZ3Lon8OGEiZf759ffYZM2bkve99b5Jk165dWbt2bf7Lf/kvpciejL3v8eHkH63v/5oq9Lq7u1NXV9ezXalUem2PRe9617ty0003ZcqUKXnTm96UJUuW5JZbbulzy5TGgAAAF1BJREFUHGUYX38Z+3u8rzGMlTEdf/zxue2229LQ0JBJkyblwgsvzEMPPTTsMVZTkeejUqnkqKOKv4T85Cc/yUUXXZTPfvazOf7440s/npaWlmzdujW/+MUv8txzz5V6PGNxzQ/m19fTf/yP/7HP7/GxZDj/R4xFf/d3f5ePfvSjSfq/po6mwdZsGdf04TbYHPzGb/xG1qxZk9/5nd/JuHHjctFFF42575tqKmoNWbuDs3ZHrkzr6OGHH84vfvGLnHvuub0eH0vvlQ4cOJDvfve7+dM//dPcd9996ezszOrVq8fcz0UdHR354he/mG9+85v57ne/m1NOOSUrV64cE3M5Wj8HDKQWfr5tb2/PRz7ykZx77rk59dRTS5G9DN/jAxmt7/+aKvSmT5/e6xcfdnR09Plx8rHkkUceydatW3u2K5VKZsyY0ec4yjC+/jK+/vEdO3akoaEhb3rTm7J79+4cOHCg1/PHgn/+53/Oxo0be7YrlUrGjRs37DFW0+E8Hw0NDdmxY0eSZP/+/XnllVcyderUQvM/+uij+e///b/nsssuyznnnFPq8fzLv/xLnnrqqSTJpEmTMn/+/Hzve98r7XiS8l1zX7+e+vseH0uG83/EWLNv37784Ac/yPvf//7/1969h9WU7gEc/9aWCjkIjeOMMYcRU5PrmU4upXIJXTSOkZkht3kwjeNyjjm5VKgwcgw6GM0Zl5PIIBXFQblfx3DQzGCGjKInTREp9tZe548e67EpuUzt0u/zPJ7HXnuttX/v6l3vftdvv+tdQNltamUqr85WxXa8spV3jK5fv24wsrIqnjfGVFF1SOpu+aTuvrzqVI+2b9/OTz/9hI+PDzNnziQtLY1JkyZVqb5S48aNad++Pa+//joajYZ+/fpx9uzZKndddPLkSdq0aUOLFi0wNTXl/fff58SJE0Y/lhV5HfA8qvv17aVLl/Dz88PX15eAgACg7HO9KsVeHc7xp6ms8/+VSuh17dqVo0ePkpeXR1FREbt27cLZ2dnYYT3VnTt3WLBgAffv36egoICtW7cSERFRajnat29Peno6v/zyC8XFxWzfvr3Kla+sGJs3b465uTnfffcdAAkJCTg7O2NmZkaXLl1ITk4GID4+vsqUSVEU5s6dS35+Pjqdjo0bN9K7d+/nLqMx/ZZ/DxcXF+Lj4wFITk6mS5cumJmZVVjsWVlZBAQEsHDhQgYMGFDty5OZmcnMmTPRarVotVpSUlLw8/OrtuWB6tXmllafyjrHq5Ln+Y6oai5cuEDLli2pU6cOUDWOd3l1tiq245WtvGNkYWFBREQEGRkZKIpCTExMlTtvjKmi6pDU3fJJ3X151akezZs3jx07dpCQkEBYWBj29vYsXry4SvWVunfvzvfff09WVhYAe/fuxc7OrspdF7Vp04azZ8+qiZCUlBTeeecdox7Lir4OeB7V+fq2oKCA0aNHM3HiREaNGqUurw6xV4dz/Gkq7fwv97EZ1UxiYqIyYMAApU+fPkpUVJSxw3kmX3zxheLh4aH06dNHWbNmjaIoZZfjyJEjipeXl9KnTx8lPDxc0ev1xgrbgKurq/o0mrJi/PHHH5VBgwYpffv2VaZMmaLcv39fURRFyczMVD766COlX79+yqhRo5Rbt24ZrRyKYliWdevWKf369VN69+6tREREqOs8bxmNWYbf6u9x8+ZNZezYsUr//v2VIUOGlPpktN9SaGio0qFDB8Xb21v9t379+mpbHkVRlKVLlyr9+vVTPD09laVLlyqKUn3/Pg9Vlza3rPpU1jlelTzPd0RVkpSUpEyaNMlgWVU43qUduzFjxihnz55VFKXqtOPGVN4x2rlzp/p+YGBgjTxGimL4XVsZdUjqbvmk7j67yq6/v5VH437o2LFjBk/ANHZf6dEY9+7dq3h7eyt9+/ZVJk2apBQWFiqKUjWuix6NMy4uTu2jBgQEKLm5uU+Np6KPZUVfBzyL6nx9+zD21atXK3Z2dgbHcfHixdUi9kdVtXP8aSr7/DdRFEWpsLSkEEIIIYQQQgghhBDiN/VK3XIrhBBCCCGEEEIIIcSrThJ6QgghhBBCCCGEEEJUI5LQE0IIIYQQQgghhBCiGpGEnhBCCCGEEEIIIYQQ1Ygk9IQQQgghhBBCCCGEqEYkoWdEtra25OXlGSzbuXMnw4YNM1JEz69jx45kZmaWu97KlSvx8PCgd+/eREZGIg9XFg9lZmbSrl07fHx81H/e3t5s3rz5iXVTUlIICwszQpRCPDudTkf37t0ZM2aMsUMRNUxmZia2trZ89NFHT7wXGBhYar/jURkZGUyYMMFg2datWxkyZAg+Pj7079+foKAgbt++XW4sbm5unDt37vkLIWqs5207S6uvFWXTpk3ExMQAsGHDBqKioirlc0XNUVxczOrVq3nvvffU9jYiIgKtVgtAdnY2gYGBeHl54e3tzeDBg9mzZ4+RoxavqtGjR7N27Vr1dXp6Ora2tixatEhdlpubi729PXfu3Cl1H9nZ2fj5+ZX7WU/rL4waNeqp/RYBtYwdgHj17d+/nx07dhAXF4dGo2H06NG0atWK/v37Gzs0UUVYWFiQkJCgvs7OzsbT0xN7e3vatm2rLnd3d8fd3d0YIQrxzHbv3k3btm1JS0vj0qVLtGrVytghiRrE3Nyc9PR0rl27RvPmzQEoLCzk1KlT5W57/fp10tPT1ddffvklBw4cYNmyZTRu3BidTsfcuXMZN24c69evr7AyiJrpedvOx+trRfruu+946623ABg6dGilfKaoWWbNmkV+fj5r167FysqKwsJC/v73vzNjxgymTZuGn58fEydOZN68eZiYmHD+/HlGjhyJpaUl3bp1M3b44hXj7OzM8ePH8ff3B2Dv3r24urqSkpLClClTADh27BidOnXCysqq1H3Y2NgQGxv7UnEcPnz4pbavCSShV4VFRkZy7do1cnJyuHbtGjY2NkRERNC0aVPc3Nzw9fXl6NGjZGVl4ePjw6RJk9Dr9cydO5czZ85w9+5dFEUhLCyMzp07ExgYiIWFBRcvXiQ3Nxc3NzcaNGjA3r17ycnJISwsDCcnJ7RaLQsXLuTbb7+luLiYt99+m5kzZ1KvXj1OnjxJaGgoJiYmvPPOO+j1ejXejz/+GD8/vycSLrt378bT05M6deoA8N5775GYmCgJPVEmGxsb3njjDQ4fPsycOXMoKiqiXr16+Pr68t///peVK1eSk5NDSEgIly9fxtTUFD8/P4YPH86dO3cIDw/n4sWL6HQ6nJyc+Oyzz6hVS5o7UTk2bNhA//79adGiBWvXrmXOnDkAREVFsXnzZurWrUuXLl1ISUkhNTX1qW2uEM9Lo9HQr18/tm3bxrhx4wDYtWsX7u7urFq1CoDU1FRWrFiBTqfDwsKCf/zjHzg4ODBz5kyys7MZPXo0kZGRrFy5kq1bt9K4cWMAzMzM+Oyzz9i9ezdarRYTExPmz5/P0aNH0Wg0ODg4MG3atCfq7saNG4mOjsbU1JTGjRsTFBTEm2++SWBgILdu3SIjI4OePXsyderUyj1Yokopre08fvw4oaGhbN++HUB9nZCQYFBfv/76a/bs2cO//vUv9Ho9devWZdq0aTg4OBAZGcnVq1fJzs4mJycHOzs7HB0diY+PJzMzk6lTp+Lp6cmvv/5KcHAwubm55OTk0Lx5cxYvXsypU6dITU3l8OHDWFhYkJeXx82bNwkODiY9PZ3g4GDy8vIwNTVl/Pjx0r8Vzy0zM5Nt27Zx6NAhtf2sU6cOs2fP5tSpU6xfv55OnToxcOBAdZu2bduydOlS6tevb6ywxSvM2dmZZcuWodfrMTU1Ze/evUyePJkpU6Zw9epVWrRowdGjR+nZsyfZ2dnMmTOHrKwsdDodAwYMYNy4cWRmZuLl5cXp06cpKioiJCSEM2fOYGVlRevWrQGYP38+UNJPCAkJIS8vDx8fHyZPnsy0adMA8Pf3JyoqimbNmhnteFRlcsttFXfy5EmWLFnCzp07sbS0NMhyFxYWsn79emJjY1m1ahUZGRmcOXOGGzdusHHjRpKTk/H19eWrr75St/nhhx9Yu3Yt69atY9WqVdSpU4fY2FiGDx+urhcVFYVGoyEuLo7ExESaNm3KwoUL0Wq1TJw4kcDAQOLj43F0dOTevXvqvr/66qtSR09lZWUZnICvvfYa2dnZFXG4xCvi9OnTXL16lXv37vHzzz8THR1NdHS0wTqzZ8+mZcuW7Ny5k40bN/LNN9/wyy+/MHfuXOzs7IiLiyM+Pp6bN2+yevVqI5VE1DQ///wzp0+fxsPDg4EDB5KQkMDNmzc5ePAgcXFxbN68mbi4OO7evatuU1abK8SLelj3HoqPj8fX1xcouXD84osviIqKIj4+ntDQUCZMmMD9+/cJCwujRYsWfP3111y+fBkLCwtatmxpsG9LS0u8vb2pXbs2K1as4MaNGyQkJJCQkIBer2fBggUG6x89epR///vf/Oc//yExMRFPT08CAgLUqTfu3btHUlKSJPNquLLazrJoNBqD+nrp0iVCQkKIjIwkMTGRv/71r3zyyScUFBQAJSPsli1bxtatWzlw4ACXLl0iJiaGoKAgIiMjAUhKSqJDhw5s3LiRlJQU9e6B3r174+bmxogRI/jwww8N4pgyZQoeHh4kJSURFRXFokWL1M8U4ll9//33tG7d+okfQ5o0aULfvn1JS0ujU6dOT2z3pz/9CVtb28oKU9Qgb775JvXr1+fChQvk5+eTnp5Ohw4dcHZ2JjU1FSj5fndxcWHq1KkMGjRI7eceOXKE5ORkg/0tX76c4uJiduzYwZo1a/jhhx8M3jc3NycuLo5NmzaxatUqsrKymDdvHgBr166VZN5TyJAVIzIxMXli2cMs+EPvvvuu2ri//fbb5Ofnq+89TJ7Z2NhgbW1Nfn4+HTt25He/+x2xsbFkZGRw/Phx6tatq27j6uqKmZkZTZo0oU6dOvTo0QOAFi1acOvWLQD27dvHnTt3OHLkCFAyp4m1tTUXL16kVq1aODk5AeDp6UlwcHC55VQUxaCsiqIYlFGIe/fu4ePjA5TMIdKwYUMiIiLIzc3F1ta21JFKR44cUS8Arays1F/v9+3bx7lz59Q5+B5NOgtR0TZs2ICrqysNGzakYcOG/OEPf+Cbb74hJycHDw8P9Zf0Dz/8kGPHjgFlt7lCvCh7e3s0Gg1paWlYW1tz9+5d2rRpA8CBAwe4ceMGI0aMUNc3MTHh6tWrBvswNTU1GIVfmgMHDjB58mTMzMwAGDZsGAEBAQbrHDx4kP79+9OoUSOgZJR+eHi4Ov9u586dX6qs4tVQVtvZoUOHZ9r+2LFj/PnPf+b1118HwMnJiUaNGpGWlgZA165d1dvCmjZtWmr/19/fn5MnT7J69WquXLnCTz/9RPv27cv8zFu3bnH+/HkGDx4MQLNmzWROM/FCymtvTUxMZP5xUeke3nZrbW1N165dMTU1xdXVlZiYGHr16oWJiQnNmjXj22+/JT8/nyVLlgAlg47Onz+Pg4ODuq/9+/czbdo0TE1N1buuLly4oL7v6ekJlCSxGzduTG5uriTxnpEk9IyoYcOG3Lp1S+3kQsnkkg0aNFBfW1hYqP9/vDE3Nzd/4r19+/YRHh7OyJEjcXd3549//COJiYnqerVr1zaIobTbEPV6PdOnT8fFxQWAu3fvcv/+fa5fv/7El8mz3MbYrFkzbty4ob6+ceMGr732WrnbiZrj8Tn0HoqLi1Nv1X5crVq1DBLFGRkZNGzYEL1ez5IlS9S5d27fvl1q8lyI31phYSEJCQnUrl0bNzc3AAoKCli3bh0DBgwwaD81Go36/7LaXCFehre3N4mJiTRq1Ej9wQRK+gtOTk4sXrxYXZaVlUXTpk05efKkuqx169Y8ePCAK1euGIzSu3//Pp9++ilhYWHo9XqD9lWv16PT6QziKO0iVVEUHjx4AFBmGy9qjqe1nR07djRoOx+vXw89XhfBsJ49S/83IiKCs2fPMmjQIBwdHXnw4MFTkygP9/Ho516+fJnf//73Bv13Icrj4ODA5cuXKSgoMPgROzs7m6CgIDp37sz//ve/Jx54FBsbS1FRESNHjqzskEUN4OzszObNmzE3N1cHEjk5OTFz5kz1dlu9Xo+iKMTGxmJpaQlAXl4e5ubmBqOsa9WqZdCePj6459E2WRLYz0eGSRmRs7Mz0dHRamc3Pz+frVu3qhd1L+Lw4cO4urrywQcfYG9vz549eyguLn6ufXTv3p2YmBi0Wi16vZ6goCAWLVqEra0tiqKwf/9+oOSJo4+OGCyLu7s7iYmJFBYWotVqiYuLo1evXi9UPiEecnJyYsuWLQDcuXMHf39/rly5Qvfu3VmzZg2KoqDVahk/fjzr1q0zcrSiJti2bRsNGjTg4MGDpKamkpqayp49eygsLMTOzo5du3apTwJ79CnOZbW5QrwMHx8fdu7cSXJysvrLN5SM/D98+DCXLl0CSn419/b25t69e2g0GjVhUrt2bT7++GNmzJjBr7/+CoBWq2Xu3LkUFRVhY2NDjx492LBhAzqdDr1eT0xMzBOTs/fo0YPk5GT1KXVbtmyhQYMGvPHGG5VxGEQ18LS289SpU1y/fp3c3FwURSEpKUnd7tH66uTkxKFDh8jIyABQ55h+2gi7xx06dAh/f38GDhyItbU1R44cUfvQGo1GTQ4+VK9ePezs7IiPjwdKEuNDhw4t84mPQpTFxsYGLy8vpk+frt6yXVBQwKxZs2jQoAFDhgzhxIkTJCYmqomOtLQ0li5dqo6+FuK35ujoyI8//siJEyfUUc0WFhbY2dmxbt06XFxcqFevHh06dFCnN7p9+zZDhw4lJSXFYF8uLi5s2bIFvV5PUVER27dvf6YBF6W1vcKQjNAzohkzZjB//nw8PT3V0Ro+Pj7qPDcvws/Pj7/97W94eXnx4MEDunXrxq5du8q9beZRn3zyCZ9//jm+vr4UFxfTrl07AgMDMTMzY9myZcyaNYtFixbRrl07g9vCynoohpubGxcvXmTw4MHodDrc3d0NJnUV4kUEBwcza9YsvLy8UBSFsWPHYm9vz4wZMwgPD8fLywudTkfXrl0ZM2aMscMVNcCGDRsYOXKkwei7+vXrM2zYMNasWcP777/PkCFDsLCw4K233lJ/ySyrzRXiZdjY2NCqVSusrKwMRv63atWKOXPmMGXKFBRFoVatWqxYsYK6devSunVrzM3N+ctf/sKmTZsYN24clpaWjB49GigZnffuu++yfPlyAMaPH8/nn3/OwIEDefDgAQ4ODgQFBRnE0a1bN0aMGIG/vz96vZ5GjRqxcuVKmXpDqJ7Wdu7evRs/Pz8GDRpEkyZN6NmzJ+fOnQN4or6GhITw6aefUlxcjIWFBV9++WWZT18sTUBAAAsWLGDJkiWYmZnRqVMn9VZ0Z2dndfL2R/3zn/9k9uzZREdHY2JiQnh4OE2aNHnJIyJqopCQEJYvX46fnx8ajQatVkuvXr2YMGECtWvXJjo6moiICLX9tLS0JDw8XJ5wKyqMpaUlLVu2RKfTGbSlLi4uRERE4OjoCMDChQsJDQ3Fy8sLrVaLp6cn3t7e6tQaAGPHjmXOnDl4eXlhZWWFtbX1M41k9vDwYNiwYURGRkryugwmioxnFEIIISrUuXPnOH36NMOHDwdg9erVnDlzxuC2RyGEEEIIIV41SUlJ1KtXDxcXF/R6PRMmTKBbt2588MEHxg6t2pOEnhBCCFHBCgoKmD59OpcvX1YnEQ4NDcXGxsbYoQkhhBBCCFFhLl68SHBwMEVFReh0OhwdHZk+fbr6UC3x4iShJ4QQQgghhBBCCCFENSITmAghhBBCCCGEEEIIUY1IQk8IIYQQQgghhBBCiGpEEnpCCCGEEEIIIYQQQlQjktATQgghhBBCCCGEEKIakYSeEEIIIYQQQgghhBDViCT0hBBCCCGEEEIIIYSoRv4PV7iDZyeM0fAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1260x1260 with 56 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data, kind=\"countplot\")\n",
    "plt.show()"
   ]
  },
  {
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}