ANLP_WS24_CA1/data_exploration.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# dataset reddit jokes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the data from the JSON file\n",
    "data_path = './data/reddit_jokes.json'\n",
    "with open(data_path) as f:\n",
    "    data = json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Breaking News: Bill Gates has agreed to pay for Trump's wall\n",
      "On the condition he gets to install windows.\n",
      "\n",
      "\n",
      "\n",
      "48526\n",
      "-----------\n",
      "I found a place where the recycling rate is 98%\n",
      "/r/Jokes\n",
      "45500\n",
      "-----------\n",
      "Steve jobs would have been a better president than Donald Trump.\n",
      "But its a silly comparison really, its like comparing apples to oranges. \n",
      "39570\n",
      "-----------\n",
      "My girlfriend told me to take the spider out instead of killing it.\n",
      "We went and had some drinks. Cool guy. Wants to be a web developer.\n",
      "36421\n",
      "-----------\n",
      "For every upvote this gets, my girlfriend and I will try one thrust of anal sex.\n",
      "Please don't upvote. Her strap-on is huge. \n",
      "35772\n",
      "-----------\n"
     ]
    }
   ],
   "source": [
    "# get jokes with highest scores\n",
    "jokes = []\n",
    "for joke in data:\n",
    "    jokes.append((joke['title'], joke['body'], joke['score']))\n",
    "jokes = sorted(jokes, key=lambda x: x[2], reverse=True)\n",
    "\n",
    "# print the top 5 jokes\n",
    "for i in range(5):\n",
    "    print(jokes[i][0])\n",
    "    print(jokes[i][1])\n",
    "    print(jokes[i][2])\n",
    "    print('-----------')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the distribution of scores\n",
    "scores = [joke[2] for joke in jokes]\n",
    "plt.hist(scores, bins=100)\n",
    "plt.xlabel('Score')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Distribution of Joke Scores')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LfH7SpEnm+uuvNz4+PqZdu3Zm8+bNRfZ5sdqst/kbc+F29qefftqEh4cbLy8vU69ePfPGG2/YbjEvpL/cFv9Xf/f4AauMjAzTp08fU716dePt7W2aNm1a7KMISnKbf+3atc0999zjtPNZsmSJ8fT0NN27dzf5+fnGmAs/o7i4OBMUFGR8fX1NnTp1TO/evc3mzZsvWtv69evNoEGDTJMmTUxQUJDx8vIytWvXNr179zYHDx4s0v/zzz83N998s/Hz8zOBgYHmpptuMh999JFdn48//tjceOONxsfHx1StWtUkJiaaY8eO2fXp1auXqVy58t/W9a9//cu0atXK+Pn5mYCAANO0aVPz3HPPmbS0NGOMMd9//73p2bOnqV27tvHx8TEhISHmrrvuuuT5AmXJzZgKuvIRAMpA1apVFR8fb1tbBuDawBokAPgbBw8e1O+//35VfG8bgJJhDRIAWPz0009avny5Zs6cKW9vb/Xo0cPVJQEoY8wgAYDFV199pWHDhsnb21tLlixxeGE8gIqLNUgAAAAWzCABAABYEJAAAAAsWKStC98flJaWpoCAAKd/vQMAACgdxhidPn1a4eHhRb4b8EoRkCSlpaWpVq1ari4DAAA44OjRo6pZs6ZT90lAkmxfQXD06FEFBga6uBoAAHA5srOzVatWLad9ldBfEZD0/38zeWBgIAEJAIAKpjSWx7BIGwAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALT1cXcLWLHLGsSNvh8fEuqAQAAFwuZpAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYOHSgJSfn69Ro0YpKipKfn5+qlOnjsaNGydjjK2PMUajR49WjRo15Ofnp9jYWB04cMBuPydPnlRiYqICAwMVHBysvn37Kicnp6xPBwAAXCVcGpAmTJigmTNn6q233tLevXs1YcIETZw4UTNmzLD1mThxoqZPn65Zs2Zp06ZNqly5suLi4nT27Flbn8TERO3evVspKSlaunSpvvrqK/Xv398VpwQAAK4Cbuav0zVl7K677lJoaKjef/99W1tCQoL8/Pw0b948GWMUHh6u4cOH65lnnpEkZWVlKTQ0VMnJyerRo4f27t2rRo0a6bvvvlPr1q0lSStXrlTXrl117NgxhYeHX7KO7OxsBQUFKSsrS4GBgU49x8gRy4q0HR4f79RjAABwLSrNv98unUG6+eablZqaqv3790uStm/frnXr1qlLly6SpEOHDik9PV2xsbG2zwQFBSk6OlobNmyQJG3YsEHBwcG2cCRJsbGxcnd316ZNm4o9bm5urrKzs+1eAAAAhTxdefARI0YoOztbDRs2lIeHh/Lz8/Xaa68pMTFRkpSeni5JCg0NtftcaGiobVt6erpCQkLstnt6eqpq1aq2PlZJSUl65ZVXnH06AADgKuHSGaSFCxdq/vz5+vDDD/X9999rzpw5evPNNzVnzpxSPe7IkSOVlZVlex09erRUjwcAACoWl84gPfvssxoxYoR69OghSWratKl+/vlnJSUlqVevXgoLC5MkZWRkqEaNGrbPZWRkqEWLFpKksLAwZWZm2u33/PnzOnnypO3zVj4+PvLx8SmFMwIAAFcDl84g/fHHH3J3ty/Bw8NDBQUFkqSoqCiFhYUpNTXVtj07O1ubNm1STEyMJCkmJkanTp3Sli1bbH1Wr16tgoICRUdHl8FZAACAq41LZ5Duvvtuvfbaa6pdu7YaN26srVu3avLkyXr00UclSW5ubho6dKheffVV1atXT1FRURo1apTCw8PVrVs3SdINN9ygzp07q1+/fpo1a5by8vI0ePBg9ejR47LuYAMAALByaUCaMWOGRo0apSeeeEKZmZkKDw/XgAEDNHr0aFuf5557TmfOnFH//v116tQptW/fXitXrpSvr6+tz/z58zV48GB17NhR7u7uSkhI0PTp011xSgAA4Crg0ucglRc8BwkAgIrnqn0OEgAAQHlEQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAAC09XF3AtihyxzO794fHxLqoEAAAUhxkkAAAACwISAACABQEJAADAwuUB6ZdfftFDDz2katWqyc/PT02bNtXmzZtt240xGj16tGrUqCE/Pz/FxsbqwIEDdvs4efKkEhMTFRgYqODgYPXt21c5OTllfSoAAOAq4dKA9Pvvv6tdu3by8vLSihUrtGfPHk2aNElVqlSx9Zk4caKmT5+uWbNmadOmTapcubLi4uJ09uxZW5/ExETt3r1bKSkpWrp0qb766iv179/fFacEAACuAm7GGOOqg48YMULr16/X119/Xex2Y4zCw8M1fPhwPfPMM5KkrKwshYaGKjk5WT169NDevXvVqFEjfffdd2rdurUkaeXKleratauOHTum8PDwS9aRnZ2toKAgZWVlKTAw0HknqKJ3rBWHu9gAACi50vz77dIZpM8//1ytW7fW//t//08hISG68cYb9d5779m2Hzp0SOnp6YqNjbW1BQUFKTo6Whs2bJAkbdiwQcHBwbZwJEmxsbFyd3fXpk2bij1ubm6usrOz7V4AAACFXBqQfvrpJ82cOVP16tXTF198oYEDB+qpp57SnDlzJEnp6emSpNDQULvPhYaG2ralp6crJCTEbrunp6eqVq1q62OVlJSkoKAg26tWrVrOPjUAAFCBuTQgFRQUqGXLlnr99dd14403qn///urXr59mzZpVqscdOXKksrKybK+jR4+W6vEAAEDF4tKAVKNGDTVq1Miu7YYbbtCRI0ckSWFhYZKkjIwMuz4ZGRm2bWFhYcrMzLTbfv78eZ08edLWx8rHx0eBgYF2LwAAgEIuDUjt2rXTvn377Nr279+viIgISVJUVJTCwsKUmppq256dna1NmzYpJiZGkhQTE6NTp05py5Yttj6rV69WQUGBoqOjy+AsAADA1cal38X29NNP6+abb9brr7+uBx98UN9++63+9a9/6V//+pckyc3NTUOHDtWrr76qevXqKSoqSqNGjVJ4eLi6desm6cKMU+fOnW2X5vLy8jR48GD16NHjsu5gAwAAsHJpQGrTpo0+++wzjRw5UmPHjlVUVJSmTp2qxMREW5/nnntOZ86cUf/+/XXq1Cm1b99eK1eulK+vr63P/PnzNXjwYHXs2FHu7u5KSEjQ9OnTXXFKAADgKuDS5yCVFzwHCQCAiueqfQ4SAABAeURAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACAhUMB6aeffnJ2HQAAAOWGQwGpbt26uv322zVv3jydPXvW2TUBAAC4lEMB6fvvv1ezZs00bNgwhYWFacCAAfr222+dXRsAAIBLOBSQWrRooWnTpiktLU3//ve/dfz4cbVv315NmjTR5MmTdeLECWfXCQAAUGauaJG2p6en7r//fi1atEgTJkzQjz/+qGeeeUa1atXSI488ouPHjzurTgAAgDJzRQFp8+bNeuKJJ1SjRg1NnjxZzzzzjA4ePKiUlBSlpaXp3nvvdVadAAAAZcbTkQ9NnjxZs2fP1r59+9S1a1d98MEH6tq1q9zdL+StqKgoJScnKzIy0pm1AgAAlAmHAtLMmTP16KOPqnfv3qpRo0axfUJCQvT+++9fUXEAAACu4FBAOnDgwCX7eHt7q1evXo7sHgAAwKUcWoM0e/ZsLVq0qEj7okWLNGfOnCsuCgAAwJUcCkhJSUmqXr16kfaQkBC9/vrrV1wUAACAKzkUkI4cOaKoqKgi7RERETpy5MgVFwUAAOBKDgWkkJAQ7dixo0j79u3bVa1atSsuCgAAwJUcCkg9e/bUU089pTVr1ig/P1/5+flavXq1hgwZoh49eji7RgAAgDLl0F1s48aN0+HDh9WxY0d5el7YRUFBgR555BHWIAEAgArPoYDk7e2tjz/+WOPGjdP27dvl5+enpk2bKiIiwtn1AQAAlDmHAlKh+vXrq379+s6qBQAAoFxwKCDl5+crOTlZqampyszMVEFBgd321atXO6U4AAAAV3AoIA0ZMkTJycmKj49XkyZN5Obm5uy6AAAAXMahgLRgwQItXLhQXbt2dXY9AAAALufQbf7e3t6qW7eus2sBAAAoFxwKSMOHD9e0adNkjHF2PQAAAC7n0CW2devWac2aNVqxYoUaN24sLy8vu+2ffvqpU4oDAABwBYcCUnBwsO677z5n1wIAAFAuOBSQZs+e7ew6AAAAyg2H1iBJ0vnz5/W///1P7777rk6fPi1JSktLU05OjtOKAwAAcAWHZpB+/vlnde7cWUeOHFFubq7uvPNOBQQEaMKECcrNzdWsWbOcXScAAECZcWgGaciQIWrdurV+//13+fn52drvu+8+paamOq04AAAAV3BoBunrr7/WN998I29vb7v2yMhI/fLLL04pDAAAwFUcmkEqKChQfn5+kfZjx44pICDgiosCAABwJYcCUqdOnTR16lTbezc3N+Xk5GjMmDF8/QgAAKjwHLrENmnSJMXFxalRo0Y6e/as/vnPf+rAgQOqXr26PvroI2fXCAAAUKYcCkg1a9bU9u3btWDBAu3YsUM5OTnq27evEhMT7RZtAwAAVEQOBSRJ8vT01EMPPeTMWgAAAMoFhwLSBx98cNHtjzzyiEPFAAAAlAcOBaQhQ4bYvc/Ly9Mff/whb29vVapUiYAEAAAqNIfuYvv999/tXjk5Odq3b5/at2/PIm0AAFDhOfxdbFb16tXT+PHji8wuAQAAVDROC0jShYXbaWlpztwlAABAmXNoDdLnn39u994Yo+PHj+utt95Su3btnFIYAACAqzgUkLp162b33s3NTdddd53uuOMOTZo0yRl1AQAAuIxDAamgoMDZdQAAAJQbTl2DBAAAcDVwaAZp2LBhl9138uTJjhwCAADAZRwKSFu3btXWrVuVl5enBg0aSJL2798vDw8PtWzZ0tbPzc3NOVUCAACUIYcC0t13362AgADNmTNHVapUkXTh4ZF9+vTRLbfcouHDhzu1SAAAgLLk0BqkSZMmKSkpyRaOJKlKlSp69dVXuYsNAABUeA4FpOzsbJ04caJI+4kTJ3T69OkrLgoAAMCVHApI9913n/r06aNPP/1Ux44d07Fjx/Sf//xHffv21f333+/sGgEAAMqUQ2uQZs2apWeeeUb//Oc/lZeXd2FHnp7q27ev3njjDacWCAAAUNYcCkiVKlXSO++8ozfeeEMHDx6UJNWpU0eVK1d2anEAAACucEUPijx+/LiOHz+uevXqqXLlyjLGOKsuAAAAl3EoIP3222/q2LGj6tevr65du+r48eOSpL59+3KLPwAAqPAcCkhPP/20vLy8dOTIEVWqVMnW3r17d61cudJpxQEAALiCQ2uQVq1apS+++EI1a9a0a69Xr55+/vlnpxQGAADgKg7NIJ05c8Zu5qjQyZMn5ePjc8VFAQAAuJJDAemWW27RBx98YHvv5uamgoICTZw4UbfffrvTigMAAHAFhy6xTZw4UR07dtTmzZt17tw5Pffcc9q9e7dOnjyp9evXO7tGAACAMuXQDFKTJk20f/9+tW/fXvfee6/OnDmj+++/X1u3blWdOnWcXSMAAECZKnFAysvLU8eOHZWZmakXX3xRCxcu1PLly/Xqq6+qRo0aDhcyfvx4ubm5aejQoba2s2fPatCgQapWrZr8/f2VkJCgjIwMu88dOXJE8fHxqlSpkkJCQvTss8/q/PnzDtcBAABQ4oDk5eWlHTt2OLWI7777Tu+++66aNWtm1/7000/rv//9rxYtWqS1a9cqLS3N7rve8vPzFR8fr3Pnzumbb77RnDlzlJycrNGjRzu1PgAAcG1x6BLbQw89pPfff98pBeTk5CgxMVHvvfeeqlSpYmvPysrS+++/r8mTJ+uOO+5Qq1atNHv2bH3zzTfauHGjpAuPG9izZ4/mzZunFi1aqEuXLho3bpzefvttnTt3zin1AQCAa49Di7TPnz+vf//73/rf//6nVq1aFfkOtsmTJ1/2vgYNGqT4+HjFxsbq1VdftbVv2bJFeXl5io2NtbU1bNhQtWvX1oYNG9S2bVtt2LBBTZs2VWhoqK1PXFycBg4cqN27d+vGG2905PQAAMA1rkQB6aefflJkZKR27dqlli1bSpL2799v18fNze2y97dgwQJ9//33+u6774psS09Pl7e3t4KDg+3aQ0NDlZ6ebuvz13BUuL1w29/Jzc1Vbm6u7X12dvZl1wwAAK5+JQpI9erV0/Hjx7VmzRpJF75aZPr06UVCyuU4evSohgwZopSUFPn6+pb481ciKSlJr7zySpkeEwAAVBwlWoNkjLF7v2LFCp05c8ahA2/ZskWZmZlq2bKlPD095enpqbVr12r69Ony9PRUaGiozp07p1OnTtl9LiMjQ2FhYZKksLCwIne1Fb4v7FOckSNHKisry/Y6evSoQ+cAAACuTg4t0i5kDUwl0bFjR+3cuVPbtm2zvVq3bq3ExETbf3t5eSk1NdX2mX379unIkSOKiYmRJMXExGjnzp3KzMy09UlJSVFgYKAaNWr0t8f28fFRYGCg3QsAAKBQiS6xubm5FVljVJI1R38VEBCgJk2a2LVVrlxZ1apVs7X37dtXw4YNU9WqVRUYGKgnn3xSMTExatu2rSSpU6dOatSokR5++GFNnDhR6enpeumllzRo0CC+Ew4AADisRAHJGKPevXvbwsfZs2f1+OOPF7mL7dNPP3VKcVOmTJG7u7sSEhKUm5uruLg4vfPOO7btHh4eWrp0qQYOHKiYmBhVrlxZvXr10tixY51yfAAAcG1yMyW4TtanT5/L6jd79myHC3KF7OxsBQUFKSsry+mX2yJHLLtkn8Pj4516TAAArgWl+fe7RDNIFS34AAAAOMKhB0XCuYqbZWJWCQAA17miu9gAAACuRgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIKABAAAYEFAAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACxcGpCSkpLUpk0bBQQEKCQkRN26ddO+ffvs+pw9e1aDBg1StWrV5O/vr4SEBGVkZNj1OXLkiOLj41WpUiWFhITo2Wef1fnz58vyVAAAwFXEpQFp7dq1GjRokDZu3KiUlBTl5eWpU6dOOnPmjK3P008/rf/+979atGiR1q5dq7S0NN1///227fn5+YqPj9e5c+f0zTffaM6cOUpOTtbo0aNdcUoAAOAq4GaMMa4uotCJEycUEhKitWvX6tZbb1VWVpauu+46ffjhh3rggQckST/88INuuOEGbdiwQW3bttWKFSt01113KS0tTaGhoZKkWbNm6fnnn9eJEyfk7e19yeNmZ2crKChIWVlZCgwMdOo5RY5Y5tDnDo+Pd2odAABcbUrz73e5WoOUlZUlSapataokacuWLcrLy1NsbKytT8OGDVW7dm1t2LBBkrRhwwY1bdrUFo4kKS4uTtnZ2dq9e3cZVg8AAK4Wnq4uoFBBQYGGDh2qdu3aqUmTJpKk9PR0eXt7Kzg42K5vaGio0tPTbX3+Go4KtxduK05ubq5yc3Nt77Ozs511GgAA4CpQbmaQBg0apF27dmnBggWlfqykpCQFBQXZXrVq1Sr1YwIAgIqjXASkwYMHa+nSpVqzZo1q1qxpaw8LC9O5c+d06tQpu/4ZGRkKCwuz9bHe1Vb4vrCP1ciRI5WVlWV7HT161IlnAwAAKjqXBiRjjAYPHqzPPvtMq1evVlRUlN32Vq1aycvLS6mpqba2ffv26ciRI4qJiZEkxcTEaOfOncrMzLT1SUlJUWBgoBo1alTscX18fBQYGGj3AgAAKOTSNUiDBg3Shx9+qCVLliggIMC2ZigoKEh+fn4KCgpS3759NWzYMFWtWlWBgYF68sknFRMTo7Zt20qSOnXqpEaNGunhhx/WxIkTlZ6erpdeekmDBg2Sj4+PK08PAABUUC4NSDNnzpQk3XbbbXbts2fPVu/evSVJU6ZMkbu7uxISEpSbm6u4uDi98847tr4eHh5aunSpBg4cqJiYGFWuXFm9evXS2LFjy+o0AADAVaZcPQfJVXgOEgAAFc818xwkAACA8oCABAAAYEFAAgAAsCAgAQAAWJSbrxqBPevibhZtAwBQdphBAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACAACwICABAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAICFp6sLwOWJHLGsSNvh8fEuqAQAgKsfM0gAAAAWzCBVYMXNKlkxywQAQMkxgwQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAAsCEgAAgAUBCQAAwIIHRV5j+MoSAAAujRkkAAAACwISAACABZfYrnKX831tAADAHjNIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgwV1suKw73XiYJADgWsIMEgAAgAUBCQAAwIKABAAAYMEaJFwW6zol1iQBAK5mzCABAABYMIMEhxR355t1Vuly+gAAUB4xgwQAAGDBDBKc5nKepwQAQEXADBIAAIAFAQkAAMCCgAQAAGDBGiS4FHe6AQDKIwISyhQLuQEAFQGX2AAAACwISAAAABYEJAAAAAsCEgAAgAWLtFHuWBdyc1cbAKCsMYMEAABgwQwSyr3LeTRAcbNMzEQBABxFQMI1g4dSAgAuFwEJVwVHH0DJLBMAoDisQQIAALBgBgn4C0fXOznrWMxgAUD5QEACSuhygg3hBwAqNgIS4ASXM/PEF/UCQMVx1QSkt99+W2+88YbS09PVvHlzzZgxQzfddJOrywJKxFmLxpnBAoArc1UEpI8//ljDhg3TrFmzFB0dralTpyouLk779u1TSEiIq8sDSp2zZqe4qw8ALnAzxhhXF3GloqOj1aZNG7311luSpIKCAtWqVUtPPvmkRowYccnPZ2dnKygoSFlZWQoMDHRqbVxWwZW4nAdgupqjD+kkjAG4UqX597vCzyCdO3dOW7Zs0ciRI21t7u7uio2N1YYNG1xYGXDlylsYKk5p1uhI0CoO4QtASVX4gPTrr78qPz9foaGhdu2hoaH64Ycfiv1Mbm6ucnNzbe+zsrIkXUiizlaQ+4fT9wlUNLWfXlRmfZz5OWfY9UpckbYmY75w2fGLO/bl9LnUZy6XI+fu6LEccTnjU1FZz600z6usjlX4d7s0LoZV+IDkiKSkJL3yyitF2mvVquWCagBczYKmlv/jO1JjWZ5XRRjDiuhq+hmePn1aQUFBTt1nhQ9I1atXl4eHhzIyMuzaMzIyFBYWVuxnRo4cqWHDhtneFxQU6OTJk6pWrZrc3Nwu67jZ2dmqVauWjh496vTrnrg4xt41GHfXYexdh7F3ncsZe2OMTp8+rfDwcKcfv8IHJG9vb7Vq1Uqpqanq1q2bpAuBJzU1VYMHDy72Mz4+PvLx8bFrCw4Oduj4gYGB/NK4CGPvGoy76zD2rsPYu86lxt7ZM0eFKnxAkqRhw4apV69eat26tW666SZNnTpVZ86cUZ8+fVxdGgAAqICuioDUvXt3nThxQqNHj1Z6erpatGihlStXFlm4DQAAcDmuioAkSYMHD/7bS2qlwcfHR2PGjClyqQ6lj7F3DcbddRh712HsXcfVY39VPCgSAADAmdxdXQAAAEB5Q0ACAACwICABAABYEJAAAAAsCEgOePvttxUZGSlfX19FR0fr22+/dXVJ5dpXX32lu+++W+Hh4XJzc9PixYvtthtjNHr0aNWoUUN+fn6KjY3VgQMH7PqcPHlSiYmJCgwMVHBwsPr27aucnBy7Pjt27NAtt9wiX19f1apVSxMnTixSy6JFi9SwYUP5+vqqadOmWr58udPPtzxJSkpSmzZtFBAQoJCQEHXr1k379u2z63P27FkNGjRI1apVk7+/vxISEoo8mf7IkSOKj49XpUqVFBISomeffVbnz5+36/Pll1+qZcuW8vHxUd26dZWcnFyknmvpd2fmzJlq1qyZ7SF3MTExWrFihW074142xo8fLzc3Nw0dOtTWxtiXjpdffllubm52r4YNG9q2V7hxNyiRBQsWGG9vb/Pvf//b7N692/Tr188EBwebjIwMV5dWbi1fvty8+OKL5tNPPzWSzGeffWa3ffz48SYoKMgsXrzYbN++3dxzzz0mKirK/Pnnn7Y+nTt3Ns2bNzcbN240X3/9talbt67p2bOnbXtWVpYJDQ01iYmJZteuXeajjz4yfn5+5t1337X1Wb9+vfHw8DATJ040e/bsMS+99JLx8vIyO3fuLPUxcJW4uDgze/Zss2vXLrNt2zbTtWtXU7t2bZOTk2Pr8/jjj5tatWqZ1NRUs3nzZtO2bVtz880327afP3/eNGnSxMTGxpqtW7ea5cuXm+rVq5uRI0fa+vz000+mUqVKZtiwYWbPnj1mxowZxsPDw6xcudLW51r73fn888/NsmXLzP79+82+ffvMCy+8YLy8vMyuXbuMMYx7Wfj2229NZGSkadasmRkyZIitnbEvHWPGjDGNGzc2x48ft71OnDhh217Rxp2AVEI33XSTGTRokO19fn6+CQ8PN0lJSS6squKwBqSCggITFhZm3njjDVvbqVOnjI+Pj/noo4+MMcbs2bPHSDLfffedrc+KFSuMm5ub+eWXX4wxxrzzzjumSpUqJjc319bn+eefNw0aNLC9f/DBB018fLxdPdHR0WbAgAFOPcfyLDMz00gya9euNcZcGGsvLy+zaNEiW5+9e/caSWbDhg3GmAsB193d3aSnp9v6zJw50wQGBtrG+7nnnjONGze2O1b37t1NXFyc7T2/O8ZUqVLF/N///R/jXgZOnz5t6tWrZ1JSUkyHDh1sAYmxLz1jxowxzZs3L3ZbRRx3LrGVwLlz57RlyxbFxsba2tzd3RUbG6sNGza4sLKK69ChQ0pPT7cb06CgIEVHR9vGdMOGDQoODlbr1q1tfWJjY+Xu7q5NmzbZ+tx6663y9va29YmLi9O+ffv0+++/2/r89TiFfa6ln11WVpYkqWrVqpKkLVu2KC8vz25cGjZsqNq1a9uNf9OmTe2eTB8XF6fs7Gzt3r3b1udiY3ut/+7k5+drwYIFOnPmjGJiYhj3MjBo0CDFx8cXGR/GvnQdOHBA4eHh+sc//qHExEQdOXJEUsUcdwJSCfz666/Kz88v8hUmoaGhSk9Pd1FVFVvhuF1sTNPT0xUSEmK33dPTU1WrVrXrU9w+/nqMv+tzrfzsCgoKNHToULVr105NmjSRdGFMvL29i3xZs3X8HR3b7Oxs/fnnn9fs787OnTvl7+8vHx8fPf744/rss8/UqFEjxr2ULViwQN9//72SkpKKbGPsS090dLSSk5O1cuVKzZw5U4cOHdItt9yi06dPV8hxv2q+agTAxQ0aNEi7du3SunXrXF3KNaNBgwbatm2bsrKy9Mknn6hXr15au3atq8u6qh09elRDhgxRSkqKfH19XV3ONaVLly62/27WrJmio6MVERGhhQsXys/Pz4WVOYYZpBKoXr26PDw8iqy6z8jIUFhYmIuqqtgKx+1iYxoWFqbMzEy77efPn9fJkyft+hS3j78e4+/6XAs/u8GDB2vp0qVas2aNatasaWsPCwvTuXPndOrUKbv+1vF3dGwDAwPl5+d3zf7ueHt7q27dumrVqpWSkpLUvHlzTZs2jXEvRVu2bFFmZqZatmwpT09PeXp6au3atZo+fbo8PT0VGhrK2JeR4OBg1a9fXz/++GOF/DdPQCoBb29vtWrVSqmpqba2goICpaamKiYmxoWVVVxRUVEKCwuzG9Ps7Gxt2rTJNqYxMTE6deqUtmzZYuuzevVqFRQUKDo62tbnq6++Ul5enq1PSkqKGjRooCpVqtj6/PU4hX2u5p+dMUaDBw/WZ599ptWrVysqKspue6tWreTl5WU3Lvv27dORI0fsxn/nzp12ITUlJUWBgYFq1KiRrc/FxpbfnQsKCgqUm5vLuJeijh07aufOndq2bZvt1bp1ayUmJtr+m7EvGzk5OTp48KBq1KhRMf/Nl2hJN8yCBQuMj4+PSU5ONnv27DH9+/c3wcHBdqvuYe/06dNm69atZuvWrUaSmTx5stm6dav5+eefjTEXbvMPDg42S5YsMTt27DD33ntvsbf533jjjWbTpk1m3bp1pl69ena3+Z86dcqEhoaahx9+2OzatcssWLDAVKpUqcht/p6enubNN980e/fuNWPGjLnqb/MfOHCgCQoKMl9++aXdrbd//PGHrc/jjz9uateubVavXm02b95sYmJiTExMjG174a23nTp1Mtu2bTMrV6401113XbG33j777LNm79695u233y721ttr6XdnxIgRZu3atebQoUNmx44dZsSIEcbNzc2sWrXKGMO4l6W/3sVmDGNfWoYPH26+/PJLc+jQIbN+/XoTGxtrqlevbjIzM40xFW/cCUgOmDFjhqldu7bx9vY2N910k9m4caOrSyrX1qxZYyQVefXq1csYc+FW/1GjRpnQ0FDj4+NjOnbsaPbt22e3j99++8307NnT+Pv7m8DAQNOnTx9z+vRpuz7bt2837du3Nz4+Pub6668348ePL1LLwoULTf369Y23t7dp3LixWbZsWamdd3lQ3LhLMrNnz7b1+fPPP80TTzxhqlSpYipVqmTuu+8+c/z4cbv9HD582HTp0sX4+fmZ6tWrm+HDh5u8vDy7PmvWrDEtWrQw3t7e5h//+IfdMQpdS787jz76qImIiDDe3t7muuuuMx07drSFI2MY97JkDUiMfeno3r27qVGjhvH29jbXX3+96d69u/nxxx9t2yvauLsZY0zJ5pwAAACubqxBAgAAsCAgAQAAWBCQAAAALAhIAAAAFgQkAAAACwISAACABQEJAADAgoAEAABgQUACUG6dOHFCAwcOVO3ateXj46OwsDDFxcVp/fr1ri4NwFXO09UFAMDfSUhI0Llz5zRnzhz94x//UEZGhlJTU/Xbb7+VyvHOnTsnb2/vUtk3gIqFGSQA5dKpU6f09ddfa8KECbr99tsVERGhm266SSNHjtQ999xj6zNgwACFhobK19dXTZo00dKlS237+M9//qPGjRvLx8dHkZGRmjRpkt0xIiMjNW7cOD3yyCMKDAxU//79JUnr1q3TLbfcIj8/P9WqVUtPPfWUzpw5U3YnD8DlCEgAyiV/f3/5+/tr8eLFys3NLbK9oKBAXbp00fr16zVv3jzt2bNH48ePl4eHhyRpy5YtevDBB9WjRw/t3LlTL7/8skaNGqXk5GS7/bz55ptq3ry5tm7dqlGjRungwYPq3LmzEhIStGPHDn388cdat26dBg8eXBanDaCc4MtqAZRb//nPf9SvXz/9+eefatmypTp06KAePXqoWbNmWrVqlbp06aK9e/eqfv36RT6bmJioEydOaNWqVba25557TsuWLdPu3bslXZhBuvHGG/XZZ5/Z+jz22GPy8PDQu+++a2tbt26dOnTooDNnzsjX17cUzxhAecEMEoByKyEhQWlpafr888/VuXNnffnll2rZsqWSk5O1bds21axZs9hwJEl79+5Vu3bt7NratWunAwcOKD8/39bWunVruz7bt29XcnKybQbL399fcXFxKigo0KFDh5x/kgDKJRZpAyjXfH19deedd+rOO+/UqFGj9Nhjj2nMmDF65plnnLL/ypUr273PycnRgAED9NRTTxXpW7t2baccE0D5R0ACUKE0atRIixcvVrNmzXTs2DHt37+/2FmkG264ocjjANavX6/69evb1ikVp2XLltqzZ4/q1q3r9NoBVBxcYgNQLv3222+64447NG/ePO3YsUOHDh3SokWLNHHiRN17773q0KGDbr31ViUkJCglJUWHDh3SihUrtHLlSknS8OHDlZqaqnHjxmn//v2aM2eO3nrrrUvOPD3//PP65ptvNHjwYG3btk0HDhzQkiVLWKQNXGOYQQJQLvn7+ys6OlpTpkzRwYMHlZeXp1q1aqlfv3564YUXJF1YxP3MM8+oZ8+eOnPmjOrWravx48dLujATtHDhQo0ePVrjxo1TjRo1NHbsWPXu3fuix23WrJnWrl2rF198UbfccouMMapTp466d+9e2qcMoBzhLjYAAAALLrEBAABYEJAAAAAsCEgAAAAWBCQAAAALAhIAAIAFAQkAAMCCgAQAAGBBQAIAALAgIAEAAFgQkAAAACwISAAAABYEJAAAAIv/D+QZs1RPzgIUAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of jokes with score > 1000: 3699\n"
     ]
    }
   ],
   "source": [
    "min_score = 1000\n",
    "\n",
    "# plot the distribution of scores\n",
    "scores = [joke[2] for joke in jokes if joke[2] > min_score]\n",
    "plt.hist(scores, bins=100)\n",
    "plt.xlabel('Score')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Distribution of Joke Scores')\n",
    "plt.show()\n",
    "\n",
    "# print number of jokes with score > 1000\n",
    "num_jokes = len(scores)\n",
    "print('Number of jokes with score > 1000:', num_jokes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# dataset stupistuff"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load the data from the JSON file\n",
    "data_path = './data/stupidstuff.json'\n",
    "with open(data_path) as f:\n",
    "    data = json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(520, 3)\n",
      "A man decided that he was going to ride a 10-speed bike from Phoenix to Flagstaff. He got as far as Black Canyon City before the mountains just became too much and he could go no farther. He stuck his thumb out, but after 3 hours hadn't gotten a single person to stop. Finally, a guy in a Corvette pulled over and offered him a ride. Of course, the bike wouldn't fit in the car. The owner of the Corvette found a piece of rope lying by the highway and tied it to his bumper. He tied the other end to the bike and told the man that if he was going too fast, to honk the horn on his bike and that he would slow down. Everything went fine for the first 30 miles. Suddenly, another Corvette blew past them. Not to be outdone, the Corvette pulling the bike took off after the other. A short distance down the road, the Corvettes, both going well over 120 mph, blew through a speed trap. The police officer noted the speeds from his radar gun and radioed to the other officer that he had two Corvettes headed his way at over 120 mph. He then relayed, \"...and you're not going to believe this, but there's guy on a 10-speed bike honking to pass.\"\n",
      "Police Jokes\n",
      "5.0\n",
      "-----------\n",
      "It was a 5-2 loss that started the bleeding\n",
      "A loss to Mats and his country of Sweden\n",
      "Next up, it's easy - but just a 3-2 win\n",
      "By a bunch of young fellas from united Berlin\n",
      "They can't hit the net, they can't even pass it\n",
      "There not chance in the world they're gonna beat Hasek\n",
      "It's the bloody big ice, it's a number of things\n",
      "They don't want it as much, they got their cup rings\n",
      "But a 33 tie, with a late goal you would like\n",
      "Scored by none other than Joe Nieuwendyk\n",
      "The one that they thought was too slow and too old\n",
      "Has not given up the quest for hockey gold.\n",
      "Then things started changing, all for the best\n",
      "They beat Selanne and Finland, lets take on the rest.\n",
      "Then Sweden was next, they'd better get loose\n",
      "But the Swedes were beaten by who... Belarus!\n",
      "And then the ladies from out of the blue\n",
      "Against the favoured Americans, knew what to do\n",
      "The Yanks threw our flag on the floor they were told\n",
      "So they captured our hearts and captured the gold\n",
      "Then suddenly the Great one, our hero of youth\n",
      "Told the hockey world the absolute truth\n",
      "He said they don't like us, they want us to lose\n",
      "We need to get meaner and inflict the odd bruise\n",
      "So a North American Final was set us and the States\n",
      "This time they were ready, they laced up their skates\n",
      "This game was about skill, speed, and the odd chance\n",
      "It would not be decided by a dumb judge from France\n",
      "The yanks scored first, we sucked in our chest\n",
      "But our boys came out and they played their best\n",
      "Sakic, Lindros, Iginla, Lemeiux\n",
      "And Gold is ours... Canada, 5 Yanks, 2\n",
      "Despite the bad press and media opinions\n",
      "We danced in the street like crazed Palestinians\n",
      "From Victoria to St. John's we screamed and we shouted\n",
      "Like Don Cherry predicted, the Yanks... they were routed\n",
      "When we play hockey there is no English or French\n",
      "There is no division among us; it's just the guys on the bench\n",
      "They played the game for our Country, they played it true\n",
      "And on behalf of the Country I say thank you.\n",
      "For this game is now ours, there is no longer a debate\n",
      "About the lack of finesse or the way that we skate\n",
      "This nation of Canada has gotta' lot of class\n",
      "But if you wanna' play hockey ... we'll kick your ass!\n",
      "Sports\n",
      "5.0\n",
      "-----------\n",
      "Two programmers walked along the street. They saw a beautiful blonde not far away and one of them said, \"Too bad that girls has no standard interface.\"\"They have,\" replied the other programmer, \"but there is no standard way to get to it.\"\n",
      "Miscellaneous\n",
      "5.0\n",
      "-----------\n",
      "Two brothers, John and Richard lived \n",
      "in the same town. John with his 12 year \n",
      "old cat, Richard with their 88 year old \n",
      "Mother. John's whole life was his cat. \n",
      "He never went anywhere without her.  One \n",
      "day he was faced with a terrible decision.  \n",
      "He had to go to England on business for \n",
      "his company and he could not take the cat \n",
      "into England with having to quarantine her \n",
      "for 14 days. He wouldn't do that so he was \n",
      "faced with either losing his job or leaving \n",
      "his cat.  \n",
      "\n",
      "Finally he decided to trust his brother with \n",
      "the cat for the week he would be gone.  He \n",
      "gave Richard detailed instructions, schedules,\n",
      "food, etc. Finally he flew to London and \n",
      "called Richard every few hours to make sure \n",
      "Gracie the cat was ok. 4 days of this went by\n",
      "and John was really getting to be a pain in the \n",
      "neck. \n",
      "\n",
      "On the fifth day when he called, John asked \n",
      "Richard how Gracie was and Richard told him. \n",
      "\"Gracie is dead!\"  Well as you can imagine,\n",
      "John nearly had a heart attack.  \n",
      "\n",
      "When he recovered he said to Richard, \"that was \n",
      "the most cruel thing I ever heard.  You know \n",
      "how much I loved that cat, why couldn't you \n",
      "have broken it to me gently. You know like when\n",
      "I called said something like, 'well she's OK but \n",
      "she is up on the roof.' And then when I called \n",
      "the next time, tell me 'oh oh, bad news, she \n",
      "fell off the roof and she's at the vets'. And\n",
      "then the next time break the news that she \n",
      "passed away. At least I would have been a little \n",
      "prepared for the bad news.\"\n",
      "\n",
      "\"Yes, you are right John. I am sorry for being \n",
      "so heartless.\"\n",
      "\n",
      "John accepted Richard's apology for being so \n",
      "uncaring, and then said, \"oh, by the way, how's \n",
      "Mother?\"\n",
      "\n",
      "Richard then said, \"well, John, she's OK, but she's \n",
      "on the roof!\"\n",
      "Animals\n",
      "5.0\n",
      "-----------\n",
      "Dear Bill,\n",
      "I have been unable to sleep since I broke off your engagement to my daughter. Will you forgive and forget? I was much too sensitive about your mohawk, tattoo and pierced nose. I now realize that motorcycles aren't really that dangerous, and I really should not have reacted that way to the fact that you have never held a job. I am sure, too, that some other very nice people live under the bridge in the park. Sure my daughter is only 18 and wants to marry you instead of going to Harvard on full scholarship. After all, you can't learn everything about life from books. I sometimes forget how backward I can be. I was wrong. I was a fool. I have now come to my senses, and you have my full blessing to marry my daughter. Sincerely, Your future father-in-law P.S. Congratulations on winning the Lottery !!!\n",
      "Money\n",
      "5.0\n",
      "-----------\n"
     ]
    }
   ],
   "source": [
    "# get jokes with highest scores\n",
    "jokes = []\n",
    "for joke in data:\n",
    "    jokes.append((joke['body'], joke['category'], joke['rating']))\n",
    "jokes = sorted(jokes, key=lambda x: x[2], reverse=True)\n",
    "\n",
    "jokes = [j for j in jokes if j[0] != '']\n",
    "\n",
    "\n",
    "good_jokes = [j for j in jokes if j[2] > 4.5]\n",
    "# random sample of 5 jokes\n",
    "print(np.array(good_jokes).shape)\n",
    "# 5 random indices min max\n",
    "number_of_jokes = 5\n",
    "idx = np.random.randint(0, len(good_jokes), number_of_jokes)\n",
    "for i in idx:\n",
    "    print(good_jokes[i][0])\n",
    "    print(good_jokes[i][1])\n",
    "    print(good_jokes[i][2])\n",
    "    print('-----------')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Animals\n",
      "Aviation\n",
      "Bar Jokes\n",
      "Blind Jokes\n",
      "Blonde Jokes\n",
      "Business\n",
      "Children\n",
      "Computers\n",
      "Crazy Jokes\n",
      "Deep Thoughts\n",
      "English\n",
      "Ethnic Jokes\n",
      "Family, Parents\n",
      "Farmers\n",
      "Food Jokes\n",
      "Heaven and Hell\n",
      "Holidays\n",
      "Idiots\n",
      "Insults\n",
      "Lawyers\n",
      "Light Bulbs\n",
      "Love & Romance\n",
      "Marriage\n",
      "Medical\n",
      "Men\n",
      "Military\n",
      "Miscellaneous\n",
      "Money\n",
      "Music\n",
      "Office Jokes\n",
      "Old Age\n",
      "One Liners\n",
      "Police Jokes\n",
      "Political\n",
      "Redneck\n",
      "Religious\n",
      "School\n",
      "Science\n",
      "Sex\n",
      "Sports\n",
      "State Jokes\n",
      "Women\n",
      "Yo Mama\n",
      "amount of categories: 43\n"
     ]
    },
    {
     "data": {
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ZsgX16tVDs2bNsHnzZjg6OmL+/Plo164dypYti5YtWyJXrlwICwvD9u3bUalSJa2gKqls2bJh06ZNqFevHkqXLq0aQfncuXNYvXo1/P39ASQODZAtWzZ06NABPXv2hImJCVasWKGzerBcuXJYu3Yt+vbtiwoVKsDe3h4NGjRAu3btsG7dOnz//fc4ePAgKlWqhPj4eFy/fh3r1q3D7t27Ub58eZQrVw5NmzbFjBkz8Pz5c6XruSYgS1oqNHbsWGXMqR9++AHm5uZYsGABoqOjMWnSpHT9j/T9Xm/evImaNWuiRYsW8PHxgbm5OTZt2oSIiAi0bNkyXfsmI5aFPcGIPjpNN1fNYmlpKW5ubvLll1/KzJkzVV2cNZJ3Pd+/f780atRI3N3dxdLSUtzd3aVVq1Zy8+ZN1ee2bNkiPj4+Ym5ururqXbVqVSlevLjO/KXU9Xz16tUyZMgQcXFxERsbG6lfv748ePBA6/NTp06VPHnyiJWVlVSqVEnOnDmjtc3U8pa867lIYlfgPn36iLu7u1hYWEihQoVk8uTJkpCQoEqHJF21k0qpS3xyERER0qlTJ8mZM6dYWlqKr6+vzu7xhnQ9z5cvnzRs2DDDjmfLli1ibm4u33zzjcTHx4tI4v8oICBAnJycxNraWgoUKCAdO3aUM2fO6JXHx48fS58+faRw4cJibW0ttra2Uq5cOfn555/l1atXSrpjx46Jn5+f2NjYiLu7uwwcOFB2794tAOTgwYNKuqioKGndurU4OzsLANX/MyYmRiZOnCjFixcXKysryZYtm5QrV05GjRql2tebN28kKChIsmfPLvb29tK4cWO5ceOGAJAJEyao8n/u3DkJCAgQe3t7sbW1lerVq8vx48dVaVIb8iF513ONtL7Xv//+W4KCgqRo0aJiZ2cnTk5OUrFiRVm3bp1e3zv9t5iI/EtbDhIRpSF79uyoX7++0haL0u/ChQsoU6YMVq5cmWo1L9GniG12iMgo3blzBy9evDCKebQ+Nk27pKRmzJgBU1NTVQNpon8LttkhIqNy9+5d7NixA/Pnz4elpSXbb6TDpEmTcPbsWVSvXh3m5ubYuXMndu7cia5du36ULupEGY3BDhEZlcOHD6Nv374oXrw4tmzZku5G4f9ln3/+Ofbu3YsxY8YgKioK+fLlw8iRI/HTTz9lddaI0oVtdoiIiMiosc0OERERGTVWYyFxePLHjx/DwcEhw0e+JSIioswhInj9+jXc3d1TnZuQwQ6Ax48fs9EdERHRv9TDhw+RN2/eFN9nsAMoo7M+fPgwXcObExER0ccXGRkJDw+PNEdZZ7CD/w1/7ujoyGCHiIjoXyatJihsoExERERGjcEOERERGTUGO0RERGTUGOwQERGRUWOwQ0REREaNwQ4REREZNQY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVFjsENERERGjcEOERERGTUGO0RERGTUzLM6A0TGymvw9lTfvz+h/kfKCRHRfxtLdoiIiMioMdghIiIio8Zgh4iIiIwagx0iIiIyagx2iIiIyKgx2CEiIiKjxmCHiIiIjBqDHSIiIjJqDHaIiIjIqDHYISIiIqPGYIeIiIiMGoMdIiIiMmoMdoiIiMioMdghIiIio8Zgh4iIiIxalgY7Xl5eMDEx0VqCgoIAAO/fv0dQUBBy5MgBe3t7NG3aFBEREapthIWFoX79+rC1tYWLiwsGDBiAuLi4rDgcIiIi+gRlabBz+vRpPHnyRFn27t0LAGjevDkAoE+fPti6dSvWr1+P0NBQPH78GE2aNFE+Hx8fj/r16yMmJgbHjx/HsmXLEBISguHDh2fJ8RAREdGnx0REJKszodG7d29s27YNt27dQmRkJHLlyoVVq1ahWbNmAIDr16+jWLFiOHHiBPz8/LBz50589dVXePz4MVxdXQEAwcHBGDRoEJ49ewZLS0u99hsZGQknJye8evUKjo6OmXZ89N/iNXh7qu/fn1D/I+WEiMg46fv7/cm02YmJicHKlSvRuXNnmJiY4OzZs4iNjUWtWrWUNEWLFkW+fPlw4sQJAMCJEyfg6+urBDoAEBAQgMjISFy5ciXFfUVHRyMyMlK1EBERkXH6ZIKdzZs34+XLl+jYsSMAIDw8HJaWlnB2dlalc3V1RXh4uJImaaCjeV/zXkrGjx8PJycnZfHw8Mi4AyEiIqJPyicT7CxevBh169aFu7t7pu9ryJAhePXqlbI8fPgw0/dJREREWcM8qzMAAA8ePMC+ffuwceNGZZ2bmxtiYmLw8uVLVelOREQE3NzclDR//PGHalua3lqaNLpYWVnBysoqA4+AiIiIPlWfRMnO0qVL4eLigvr1/9dgs1y5crCwsMD+/fuVdTdu3EBYWBj8/f0BAP7+/rh8+TKePn2qpNm7dy8cHR3h4+Pz8Q6AiIiIPllZXrKTkJCApUuXokOHDjA3/192nJycEBgYiL59+yJ79uxwdHREjx494O/vDz8/PwBA7dq14ePjg3bt2mHSpEkIDw/H0KFDERQUxJIbIiIiAvAJBDv79u1DWFgYOnfurPXe9OnTYWpqiqZNmyI6OhoBAQGYN2+e8r6ZmRm2bduGbt26wd/fH3Z2dujQoQNGjx79MQ+BiIiIPmGf1Dg7WYXj7FBm4Dg7RESZ6183zg4RERFRZmCwQ0REREaNwQ4REREZNQY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVFjsENERERGjcEOERERGTUGO0RERGTUGOwQERGRUWOwQ0REREaNwQ4REREZNQY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVFjsENERERGjcEOERERGTUGO0RERGTUGOwQERGRUWOwQ0REREaNwQ4REREZNQY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVFjsENERERGjcEOERERGTUGO0RERGTUGOwQERGRUcvyYOfRo0do27YtcuTIARsbG/j6+uLMmTPK+yKC4cOHI3fu3LCxsUGtWrVw69Yt1Tb++ecftGnTBo6OjnB2dkZgYCCioqI+9qEQERHRJyhLg50XL16gUqVKsLCwwM6dO3H16lVMnToV2bJlU9JMmjQJs2bNQnBwME6dOgU7OzsEBATg/fv3Spo2bdrgypUr2Lt3L7Zt24bDhw+ja9euWXFIRERE9IkxERHJqp0PHjwYx44dw5EjR3S+LyJwd3dHv3790L9/fwDAq1ev4OrqipCQELRs2RLXrl2Dj48PTp8+jfLlywMAdu3ahXr16uGvv/6Cu7u71najo6MRHR2tvI6MjISHhwdevXoFR0fHTDhS+i/yGrw91ffvT6j/kXJCRGScIiMj4eTklObvd5aW7Pz+++8oX748mjdvDhcXF5QpUwaLFi1S3r937x7Cw8NRq1YtZZ2TkxMqVqyIEydOAABOnDgBZ2dnJdABgFq1asHU1BSnTp3Sud/x48fDyclJWTw8PDLpCImIiCirZWmwc/fuXcyfPx+FChXC7t270a1bN/Ts2RPLli0DAISHhwMAXF1dVZ9zdXVV3gsPD4eLi4vqfXNzc2TPnl1Jk9yQIUPw6tUrZXn48GFGHxoRERF9IsyzcucJCQkoX748xo0bBwAoU6YM/vzzTwQHB6NDhw6Ztl8rKytYWVll2vaJiIjo05GlJTu5c+eGj4+Pal2xYsUQFhYGAHBzcwMAREREqNJEREQo77m5ueHp06eq9+Pi4vDPP/8oaYiIiOi/K0uDnUqVKuHGjRuqdTdv3oSnpycAIH/+/HBzc8P+/fuV9yMjI3Hq1Cn4+/sDAPz9/fHy5UucPXtWSXPgwAEkJCSgYsWKH+EoiIiI6FOWpdVYffr0weeff45x48ahRYsW+OOPP7Bw4UIsXLgQAGBiYoLevXtj7NixKFSoEPLnz49hw4bB3d0djRs3BpBYElSnTh106dIFwcHBiI2NRffu3dGyZUudPbGIiIjovyVLg50KFSpg06ZNGDJkCEaPHo38+fNjxowZaNOmjZJm4MCBePPmDbp27YqXL1+icuXK2LVrF6ytrZU0v/76K7p3746aNWvC1NQUTZs2xaxZs7LikIiIiOgTk6Xj7Hwq9O2nT2QIjrNDRJS5/hXj7BARERFlNgY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVFjsENERERGjcEOERERGTUGO0RERGTUGOwQERGRUWOwQ0REREaNwQ4REREZNQY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVFjsENERERGjcEOERERGTUGO0RERGTUGOwQERGRUWOwQ0REREaNwQ4REREZNQY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVFjsENERERGjcEOERERGTUGO0RERGTUGOwQERGRUWOwQ0REREYtS4OdkSNHwsTERLUULVpUef/9+/cICgpCjhw5YG9vj6ZNmyIiIkK1jbCwMNSvXx+2trZwcXHBgAEDEBcX97EPhYiIiD5R5lmdgeLFi2Pfvn3Ka3Pz/2WpT58+2L59O9avXw8nJyd0794dTZo0wbFjxwAA8fHxqF+/Ptzc3HD8+HE8efIE7du3h4WFBcaNG/fRj4WIiIg+PVke7Jibm8PNzU1r/atXr7B48WKsWrUKNWrUAAAsXboUxYoVw8mTJ+Hn54c9e/bg6tWr2LdvH1xdXVG6dGmMGTMGgwYNwsiRI2FpafmxD4eIiIg+MVneZufWrVtwd3eHt7c32rRpg7CwMADA2bNnERsbi1q1ailpixYtinz58uHEiRMAgBMnTsDX1xeurq5KmoCAAERGRuLKlSsp7jM6OhqRkZGqhYiIiIxTlgY7FStWREhICHbt2oX58+fj3r17+OKLL/D69WuEh4fD0tISzs7Oqs+4uroiPDwcABAeHq4KdDTva95Lyfjx4+Hk5KQsHh4eGXtgRERE9MnI0mqsunXrKn+XLFkSFStWhKenJ9atWwcbG5tM2++QIUPQt29f5XVkZCQDHiIiIiOV5dVYSTk7O6Nw4cK4ffs23NzcEBMTg5cvX6rSREREKG183NzctHpnaV7ragekYWVlBUdHR9VCRERExumTCnaioqJw584d5M6dG+XKlYOFhQX279+vvH/jxg2EhYXB398fAODv74/Lly/j6dOnSpq9e/fC0dERPj4+Hz3/RERE9OnJ0mqs/v37o0GDBvD09MTjx48xYsQImJmZoVWrVnByckJgYCD69u2L7Nmzw9HRET169IC/vz/8/PwAALVr14aPjw/atWuHSZMmITw8HEOHDkVQUBCsrKyy8tCIiIjoE5Glwc5ff/2FVq1a4fnz58iVKxcqV66MkydPIleuXACA6dOnw9TUFE2bNkV0dDQCAgIwb9485fNmZmbYtm0bunXrBn9/f9jZ2aFDhw4YPXp0Vh0SERERfWJMRESyOhNZLTIyEk5OTnj16hXb71CG8Rq8PdX370+o/5FyQkRknPT9/f6k2uwQERERZTQGO0RERGTUGOwQERGRUWOwQ0REREaNwQ4REREZNQY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVFjsENERERGjcEOERERGbV0BTt3797N6HwQERERZYp0BTsFCxZE9erVsXLlSrx//z6j80RERESUYdIV7Jw7dw4lS5ZE37594ebmhu+++w5//PFHRueNiIiI6IOlK9gpXbo0Zs6cicePH2PJkiV48uQJKleujBIlSmDatGl49uxZRueTiIiIKF0+qIGyubk5mjRpgvXr12PixIm4ffs2+vfvDw8PD7Rv3x5PnjzJqHwSERERpcsHBTtnzpzBDz/8gNy5c2PatGno378/7ty5g7179+Lx48do1KhRRuWTiIiIKF3M0/OhadOmYenSpbhx4wbq1auH5cuXo169ejA1TYyd8ufPj5CQEHh5eWVkXomIiIgMlq5gZ/78+ejcuTM6duyI3Llz60zj4uKCxYsXf1DmiIiIiD5UuoKdW7dupZnG0tISHTp0SM/miYiIiDJMutrsLF26FOvXr9dav379eixbtuyDM0VERESUUdIV7IwfPx45c+bUWu/i4oJx48Z9cKaIiIiIMkq6gp2wsDDkz59fa72npyfCwsI+OFNEREREGSVdwY6LiwsuXbqktf7ixYvIkSPHB2eKiIiIKKOkK9hp1aoVevbsiYMHDyI+Ph7x8fE4cOAAevXqhZYtW2Z0HomIiIjSLV29scaMGYP79++jZs2aMDdP3ERCQgLat2/PNjtERET0SUlXsGNpaYm1a9dizJgxuHjxImxsbODr6wtPT8+Mzh8RERHRB0lXsKNRuHBhFC5cOKPyQkRERJTh0hXsxMfHIyQkBPv378fTp0+RkJCgev/AgQMZkjkiIiKiD5WuYKdXr14ICQlB/fr1UaJECZiYmGR0voiIiIgyRLqCnTVr1mDdunWoV69eRueHiIiIKEOlq+u5paUlChYsmNF5ISIiIspw6Qp2+vXrh5kzZ0JEMjo/RERERBkqXdVYR48excGDB7Fz504UL14cFhYWqvc3btyYIZkjIiIi+lDpCnacnZ3x9ddfZ3ReiIiIiDJcuoKdpUuXZnQ+MGHCBAwZMgS9evXCjBkzAADv379Hv379sGbNGkRHRyMgIADz5s2Dq6ur8rmwsDB069YNBw8ehL29PTp06IDx48crIzsTERHRf1u62uwAQFxcHPbt24cFCxbg9evXAIDHjx8jKirK4G2dPn0aCxYsQMmSJVXr+/Tpg61bt2L9+vUIDQ3F48eP0aRJE+X9+Ph41K9fHzExMTh+/DiWLVuGkJAQDB8+PL2HRUREREYmXcHOgwcP4Ovri0aNGiEoKAjPnj0DAEycOBH9+/c3aFtRUVFo06YNFi1ahGzZsinrX716hcWLF2PatGmoUaMGypUrh6VLl+L48eM4efIkAGDPnj24evUqVq5cidKlS6Nu3boYM2YM5s6di5iYmBT3GR0djcjISNVCRERExildwU6vXr1Qvnx5vHjxAjY2Nsr6r7/+Gvv37zdoW0FBQahfvz5q1aqlWn/27FnExsaq1hctWhT58uXDiRMnAAAnTpyAr6+vqlorICAAkZGRuHLlSor7HD9+PJycnJTFw8PDoDwTERHRv0e6GrYcOXIEx48fh6WlpWq9l5cXHj16pPd21qxZg3PnzuH06dNa74WHh8PS0hLOzs6q9a6urggPD1fSJA10NO9r3kvJkCFD0LdvX+V1ZGQkAx4iIiIjla5gJyEhAfHx8Vrr//rrLzg4OOi1jYcPH6JXr17Yu3cvrK2t05ONdLOysoKVldVH3ScRERFljXRVY9WuXVvpMQUAJiYmiIqKwogRI/SeQuLs2bN4+vQpypYtC3Nzc5ibmyM0NBSzZs2Cubk5XF1dERMTg5cvX6o+FxERATc3NwCAm5sbIiIitN7XvEdERESUrmBn6tSpOHbsGHx8fPD+/Xu0bt1aqcKaOHGiXtuoWbMmLl++jAsXLihL+fLl0aZNG+VvCwsLVRugGzduICwsDP7+/gAAf39/XL58GU+fPlXS7N27F46OjvDx8UnPoREREZGRSVc1Vt68eXHx4kWsWbMGly5dQlRUFAIDA9GmTRtVg+XUODg4oESJEqp1dnZ2yJEjh7I+MDAQffv2Rfbs2eHo6IgePXrA398ffn5+ABJLmHx8fNCuXTtMmjQJ4eHhGDp0KIKCglhNRURERADSGewAgLm5Odq2bZuRedEyffp0mJqaomnTpqpBBTXMzMywbds2dOvWDf7+/rCzs0OHDh0wevToTM0XERER/XuYSDpm81y+fHmq77dv3z7dGcoKkZGRcHJywqtXr+Do6JjV2SEj4TV4e6rv359Q/yPlhIjIOOn7+52ukp1evXqpXsfGxuLt27ewtLSEra3tvy7YISIiIuOVrgbKL168UC1RUVG4ceMGKleujNWrV2d0HomIiIjSLd1zYyVXqFAhTJgwQavUh4iIiCgrZViwAyQ2Wn78+HFGbpKIiIjog6Srzc7vv/+uei0iePLkCebMmYNKlSplSMaIiIiIMkK6gp3GjRurXpuYmCBXrlyoUaMGpk6dmhH5IiIiIsoQ6Z4bi4iIiOjfIEPb7BARERF9atJVstO3b1+9006bNi09uyAiIiLKEOkKds6fP4/z588jNjYWRYoUAQDcvHkTZmZmKFu2rJLOxMQkY3JJRERElE7pCnYaNGgABwcHLFu2DNmyZQOQONBgp06d8MUXX6Bfv34ZmkkiIiKi9EpXm52pU6di/PjxSqADANmyZcPYsWPZG4uIiIg+KekKdiIjI/Hs2TOt9c+ePcPr168/OFNEREREGSVdwc7XX3+NTp06YePGjfjrr7/w119/4bfffkNgYCCaNGmS0XkkIiIiSrd0tdkJDg5G//790bp1a8TGxiZuyNwcgYGBmDx5coZmkIiIiOhDpCvYsbW1xbx58zB58mTcuXMHAFCgQAHY2dllaOaIiIiIPtQHDSr45MkTPHnyBIUKFYKdnR1EJKPyRURERJQh0hXsPH/+HDVr1kThwoVRr149PHnyBAAQGBjIbudERET0SUlXsNOnTx9YWFggLCwMtra2yvpvvvkGu3btyrDMEREREX2odLXZ2bNnD3bv3o28efOq1hcqVAgPHjzIkIwRERERZYR0ley8efNGVaKj8c8//8DKyuqDM0VERESUUdIV7HzxxRdYvny58trExAQJCQmYNGkSqlevnmGZIyIiIvpQ6arGmjRpEmrWrIkzZ84gJiYGAwcOxJUrV/DPP//g2LFjGZ1HIiIionRLV8lOiRIlcPPmTVSuXBmNGjXCmzdv0KRJE5w/fx4FChTI6DwSERERpZvBJTuxsbGoU6cOgoOD8dNPP2VGnoiIiIgyjMElOxYWFrh06VJm5IWIiIgow6WrGqtt27ZYvHhxRueFiIiIKMOlq4FyXFwclixZgn379qFcuXJac2JNmzYtQzJHRERE9KEMCnbu3r0LLy8v/PnnnyhbtiwA4ObNm6o0JiYmGZc7IiIiog9kULBTqFAhPHnyBAcPHgSQOD3ErFmz4OrqmimZIyIiIvpQBrXZST6r+c6dO/HmzZsMzRARERFRRkpXA2WN5MEPERER0afGoGDHxMREq00O2+gQERHRp8ygNjsigo4dOyqTfb5//x7ff/+9Vm+sjRs3ZlwOiYiIiD6AQcFOhw4dVK/btm2boZkhIiIiymgGBTtLly7NrHwQERERZYoPaqD8oebPn4+SJUvC0dERjo6O8Pf3x86dO5X3379/j6CgIOTIkQP29vZo2rQpIiIiVNsICwtD/fr1YWtrCxcXFwwYMABxcXEf+1CIiIjoE5WlwU7evHkxYcIEnD17FmfOnEGNGjXQqFEjXLlyBQDQp08fbN26FevXr0doaCgeP36MJk2aKJ+Pj49H/fr1ERMTg+PHj2PZsmUICQnB8OHDs+qQiIiI6BNjIp9Y//Hs2bNj8uTJaNasGXLlyoVVq1ahWbNmAIDr16+jWLFiOHHiBPz8/LBz50589dVXePz4sTKwYXBwMAYNGoRnz57B0tJSr31GRkbCyckJr169gqOjY6YdG/23eA3enur79yfU/0g5ISIyTvr+fmdpyU5S8fHxWLNmDd68eQN/f3+cPXsWsbGxqFWrlpKmaNGiyJcvH06cOAEAOHHiBHx9fVUjOAcEBCAyMlIpHdIlOjoakZGRqoWIiIiMU5YHO5cvX4a9vT2srKzw/fffY9OmTfDx8UF4eDgsLS3h7OysSu/q6orw8HAAQHh4uNZUFZrXmjS6jB8/Hk5OTsri4eGRsQdFREREn4wsD3aKFCmCCxcu4NSpU+jWrRs6dOiAq1evZuo+hwwZglevXinLw4cPM3V/RERElHUM6nqeGSwtLVGwYEEAQLly5XD69GnMnDkT33zzDWJiYvDy5UtV6U5ERATc3NwAAG5ubvjjjz9U29P01tKk0cXKykoZGJGIiIiMW5aX7CSXkJCA6OholCtXDhYWFti/f7/y3o0bNxAWFgZ/f38AgL+/Py5fvoynT58qafbu3QtHR0f4+Ph89LwTERHRpydLS3aGDBmCunXrIl++fHj9+jVWrVqFQ4cOYffu3XByckJgYCD69u2L7Nmzw9HRET169IC/vz/8/PwAALVr14aPjw/atWuHSZMmITw8HEOHDkVQUBBLboiIiAhAFgc7T58+Rfv27fHkyRM4OTmhZMmS2L17N7788ksAwPTp02FqaoqmTZsiOjoaAQEBmDdvnvJ5MzMzbNu2Dd26dYO/vz/s7OzQoUMHjB49OqsOiYiIiD4xn9w4O1mB4+xQZuA4O0REmetfN84OERERUWZgsENERERGjcEOERERGTUGO0RERGTUGOwQERGRUWOwQ0REREaNwQ4REREZNQY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVFjsENERERGjcEOERERGTUGO0RERGTUGOwQERGRUWOwQ0REREaNwQ4REREZNQY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVFjsENERERGjcEOERERGTUGO0RERGTUGOwQERGRUWOwQ0REREaNwQ4REREZNQY7REREZNQY7BAREZFRY7BDRERERo3BDhERERk1BjtERERk1BjsEBERkVHL0mBn/PjxqFChAhwcHODi4oLGjRvjxo0bqjTv379HUFAQcuTIAXt7ezRt2hQRERGqNGFhYahfvz5sbW3h4uKCAQMGIC4u7mMeChEREX2isjTYCQ0NRVBQEE6ePIm9e/ciNjYWtWvXxps3b5Q0ffr0wdatW7F+/XqEhobi8ePHaNKkifJ+fHw86tevj5iYGBw/fhzLli1DSEgIhg8fnhWHRERERJ8YExGRrM6ExrNnz+Di4oLQ0FBUqVIFr169Qq5cubBq1So0a9YMAHD9+nUUK1YMJ06cgJ+fH3bu3ImvvvoKjx8/hqurKwAgODgYgwYNwrNnz2Bpaam1n+joaERHRyuvIyMj4eHhgVevXsHR0fHjHCwZPa/B21N9//6E+h8pJ0RExikyMhJOTk5p/n5/Um12Xr16BQDInj07AODs2bOIjY1FrVq1lDRFixZFvnz5cOLECQDAiRMn4OvrqwQ6ABAQEIDIyEhcuXJF537Gjx8PJycnZfHw8MisQyIiIqIs9skEOwkJCejduzcqVaqEEiVKAADCw8NhaWkJZ2dnVVpXV1eEh4craZIGOpr3Ne/pMmTIELx69UpZHj58mMFHQ0RERJ8K86zOgEZQUBD+/PNPHD16NNP3ZWVlBSsrq0zfDxGRMWCVLP3bfRIlO927d8e2bdtw8OBB5M2bV1nv5uaGmJgYvHz5UpU+IiICbm5uSprkvbM0rzVpiIiI6L8rS4MdEUH37t2xadMmHDhwAPnz51e9X65cOVhYWGD//v3Kuhs3biAsLAz+/v4AAH9/f1y+fBlPnz5V0uzduxeOjo7w8fH5OAdCREREn6wsrcYKCgrCqlWrsGXLFjg4OChtbJycnGBjYwMnJycEBgaib9++yJ49OxwdHdGjRw/4+/vDz88PAFC7dm34+PigXbt2mDRpEsLDwzF06FAEBQX966qqWFRMRESU8bI02Jk/fz4AoFq1aqr1S5cuRceOHQEA06dPh6mpKZo2bYro6GgEBARg3rx5SlozMzNs27YN3bp1g7+/P+zs7NChQweMHj36Yx0GERERfcKyNNjRZ4gfa2trzJ07F3Pnzk0xjaenJ3bs2JGRWSMiIiIj8Uk0UCYiIiLKLAx2iIiIyKgx2CEiIiKjxmCHiIiIjBqDHSIiIjJqDHaIiIjIqDHYISIiIqPGYIeIiIiMGoMdIiIiMmoMdoiIiMioMdghIiIio8Zgh4iIiIwagx0iIiIyagx2iIiIyKgx2CEiIiKjxmCHiIiIjBqDHSIiIjJqDHaIiIjIqDHYISIiIqNmntUZIOPlNXh7mmnuT6j/EXJCRET/ZQx2iIj+g/gwQv8lrMYiIiIio8Zgh4iIiIwagx0iIiIyagx2iIiIyKgx2CEiIiKjxmCHiIiIjBqDHSIiIjJqDHaIiIjIqDHYISIiIqPGEZSJiIj+5TgiduoY7BARfeL4Q0b0YViNRUREREaNJTtktNJ6GuaTMBHRfwODnUzG4mciIqKsxWosIiIiMmpZGuwcPnwYDRo0gLu7O0xMTLB582bV+yKC4cOHI3fu3LCxsUGtWrVw69YtVZp//vkHbdq0gaOjI5ydnREYGIioqKiPeBRERET0KcvSYOfNmzcoVaoU5s6dq/P9SZMmYdasWQgODsapU6dgZ2eHgIAAvH//XknTpk0bXLlyBXv37sW2bdtw+PBhdO3a9WMdAhEREX3isrTNTt26dVG3bl2d74kIZsyYgaFDh6JRo0YAgOXLl8PV1RWbN29Gy5Ytce3aNezatQunT59G+fLlAQCzZ89GvXr1MGXKFLi7u3+0YyEiIqJP0yfbZufevXsIDw9HrVq1lHVOTk6oWLEiTpw4AQA4ceIEnJ2dlUAHAGrVqgVTU1OcOnUqxW1HR0cjMjJStRAREZFx+mSDnfDwcACAq6urar2rq6vyXnh4OFxcXFTvm5ubI3v27EoaXcaPHw8nJydl8fDwyODcExER0afikw12MtOQIUPw6tUrZXn48GFWZ4mIiIgyyScb7Li5uQEAIiIiVOsjIiKU99zc3PD06VPV+3Fxcfjnn3+UNLpYWVnB0dFRtRAREZFx+mSDnfz588PNzQ379+9X1kVGRuLUqVPw9/cHAPj7++Ply5c4e/askubAgQNISEhAxYoVP3qeiYiI6NOTpb2xoqKicPv2beX1vXv3cOHCBWTPnh358uVD7969MXbsWBQqVAj58+fHsGHD4O7ujsaNGwMAihUrhjp16qBLly4IDg5GbGwsunfvjpYtW7InFlEW4lQdRPQpydJg58yZM6hevbryum/fvgCADh06ICQkBAMHDsSbN2/QtWtXvHz5EpUrV8auXbtgbW2tfObXX39F9+7dUbNmTZiamqJp06aYNWvWRz8WIiIi+jRlabBTrVo1iEiK75uYmGD06NEYPXp0immyZ8+OVatWZUb2iIiIyAhwIlAiA3BiVyKifx8GOwSAP+JERGS8PtneWEREREQZgSU7RP8i7OVERGQ4luwQERGRUWPJDhER0UfEEtqPjyU7REREZNQY7BAREZFRY7BDRERERo1tdshgrG/+b+JYTET0b8Vgh4iIPlkMsikjsBqLiIiIjBqDHSIiIjJqDHaIiIjIqLHNDlEWY5sEon8/XsefNpbsEBERkVFjyQ4RkRHh0BBE2hjsEIE/EERExozBDhH9ZzHIJfpvYJsdIiIiMmos2aF/FfZ4ICIiQzHYISLSA6u8iP69GOwQEWUgQ4IiBlBEHweDHSIyKqzqJKLk2ECZiIiIjBpLdoj+41iVQpQyXh/GgcEOkRFiVQ4R0f8w2DFyfCohY8FzmYjSi212iIiIyKgx2CEiIiKjxmosIiLKEGwrRp8qBjtElGX440hEHwODHSIi+k9hkP3fw2CHiIjoP+S/2LORwc6/EJ9KiIiI9Mdgh4iIPrr/YulCevB7yhhGE+zMnTsXkydPRnh4OEqVKoXZs2fjs88+y+psERHRR8LAIGMZUy2CUQQ7a9euRd++fREcHIyKFStixowZCAgIwI0bN+Di4pLV2SM98CZFRESZxSgGFZw2bRq6dOmCTp06wcfHB8HBwbC1tcWSJUuyOmtERESUxf71JTsxMTE4e/YshgwZoqwzNTVFrVq1cOLECZ2fiY6ORnR0tPL61atXAIDIyMgMz19C9Ns002j2m1ZafdNxm4ZtM6v3z21++tvMyP3zvOM2jfEcKTFid6rp/hwVkOa20kOzfxFJPaH8yz169EgAyPHjx1XrBwwYIJ999pnOz4wYMUIAcOHChQsXLlyMYHn48GGqscK/vmQnPYYMGYK+ffsqrxMSEvDPP/8gR44cMDExybT9RkZGwsPDAw8fPoSjo2OGpM2MbWb1/rnNT3+bWb1/bvO/uc2s3j+3mfH/zw8lInj9+jXc3d1TTfevD3Zy5swJMzMzREREqNZHRETAzc1N52esrKxgZWWlWufs7JxZWdTi6Oio9wmgb9rM2GZW75/b/PS3mdX75zb/m9vM6v1zmxn///wQTk5Oaab51zdQtrS0RLly5bB//35lXUJCAvbv3w9/f/8szBkRERF9Cv71JTsA0LdvX3To0AHly5fHZ599hhkzZuDNmzfo1KlTVmeNiIiIsphRBDvffPMNnj17huHDhyM8PBylS5fGrl274OrqmtVZU7GyssKIESO0qtA+JG1mbDOr989tfvrbzOr9c5v/zW1m9f65zYz/f34sJiJp9dciIiIi+vf617fZISIiIkoNgx0iIiIyagx2iIiIyKgx2CEiIiKjxmCHKIn3799ndRaIiD6qly9fZnUWMh2DnUz08OFD/PXXX8rrP/74A71798bChQvTvc1du3bh6NGjyuu5c+eidOnSaN26NV68ePFB+c0qH/I9xcfH48KFCx907AkJCRgzZgzy5MkDe3t73L17FwAwbNgwLF68WEl37tw5XL58WXm9ZcsWNG7cGD/++CNiYmLSte/M2GZmeffuHd6+/d/EgA8ePMCMGTOwZ88e/P7773ovqYmMjMTmzZtx7dq1zD4cyiQxMTG4ceMG4uLiUkyT2rmUXv+maym9Uro+DDn2iRMnYu3atcrrFi1aIEeOHMiTJw8uXryYuQeQlTJmOk7SpXLlyrJ8+XIREXny5Ik4OjqKv7+/5MyZU0aNGpWubZYoUUK2b98uIiKXLl0SKysrGTJkiPj5+UnHjh0N2tbbt2/TlQdDRUdHy8OHD+XBgweqRcOQ76lXr17yyy+/iIhIXFycVKpUSUxMTMTOzk4OHjyYrvyNGjVKvL29ZeXKlWJjYyN37twREZE1a9aIn5+fkq58+fKyYcMGERG5c+eOWFtbS6tWraRgwYLSq1evdO07M7aZmhcvXqT7s19++aXMnz9f2Y6rq6vkzZtXrK2txcTERK/F1NRUtc3mzZvL7NmzRSTxfCxUqJBYWFiIubm58r1kNs3/O6Ps3LlTjhw5oryeM2eOlCpVSlq1aiX//PNPip979+5dhuYjLevXr5fmzZtLxYoVpUyZMqolPd68eSOdO3cWMzMzMTMzU77X7t27y/jx41VpUzuX5s2bp0obFhammuTx1KlT0qtXL1mwYIEqnaHX0vLly+Xzzz+X3Llzy/3790VEZPr06bJ58+Z0Hb+IyIEDB1J8Lzg42KDjEdH/+jDk2L28vOTYsWMiIrJnzx5xdnaW3bt3S2BgoHz55ZfpO/B/AQY7mcjZ2VmuX78uIiIzZ86Uzz//XEREdu/eLfnz50/xc6kFB3Z2dnLv3j0RSZy9vWnTpiIicvbsWXF1ddXaVo8ePXTuIyoqSqpVq6Zat2TJEnnz5k2axxUXFye//PKLtGrVSmrWrCnVq1dXLRo3b96UypUri6mpqWpJ/qNnyPeUJ08eOX36tIiIbNq0Sdzd3eXGjRsydOhQ5XNbtmzRexERKVCggOzbt09EROzt7ZWb9LVr18TZ2VnZt6Ojo9y+fVtERCZMmCC1a9cWEZGjR49K3rx5tb6nt2/fqr7P+/fvy/Tp02X37t0GbfPVq1d6L0lNmDBB1qxZo7xu3ry5mJqairu7u1y4cEFZr++Pc44cOeTPP/8UEZFFixZJyZIlJT4+XtatWydFixbVOn59uLq6Knn59ddfpWDBgvLmzRuZN2+elC5dWr7++mu9F43w8HBp27at5M6dW8zMzLTOv+RMTEykWrVqsmLFCoMCjri4ODl//rxWAGPIA0l8fLyMHj1a3N3dVQHC0KFDlaBe4+zZs3Lp0iXl9ebNm6VRo0YyZMgQiY6ONijdzJkzxd7eXrp37y6Wlpby3XffSa1atcTJyUl+/PFHrWPV51zu2bOnlCtXTo4cOSJ2dnbKsWzevFlKly6t2p4h55K+D0OGXJ/z5s2TnDlzytixY1UPOEuXLtW6L+qS0v/e0tJS+vfvLzExMcq6Z8+eyVdffaXcSwx5uEvr+kjPsVtbW0tYWJiIJP7PunbtKiIiN27cUN3vNLZv3y67du3SWr9r1y7ZsWNHWl/VJ4PBTiZKGpg0aNBAJkyYICIiDx48EGtra630+gQH2bJlkytXroiISKVKlZSngXv37omNjY3WNr29vWX48OGqdVFRUVK5cmWpXLmyar2Li4s4ODhI586dlchfl6CgILGzs5MWLVpIr169pHfv3qpF4/PPP5cqVarIjh075Pz583LhwgXVkp7vycrKSnkq6tKli/LUcvfuXXFwcBARMbiUwdraWnmySxrsXLlyRezs7JR9Ozg4yM2bN0VEpFatWjJjxowU8ymi39OrPtvU5DW1RVepib5PcPr+ONvY2ChBd/PmzWXkyJEikvikquvc00fSG2+7du1k0KBByvHb2dlJx44d9V406tSpIz4+PjJv3jzZtGmTbN68WbUkd/78eenZs6fkypVLnJycpGvXrnLq1CmtdPqWKhryQKJvqaKI/k/v+qQrUqSIrFq1SkTU5/ywYcMkKChI69j1OZfz5csnJ06c0NrmrVu3lGtTw5BzSd+HIUOuz2LFismmTZu08nr58mXJkSOH1vHr+78/duyYFChQQEqVKiVXrlyRbdu2iaurq1SpUkW5xxjycJfW9ZGeY8+dO7dyXyhcuLCsW7dORESuX7+u9X8SEfH19VXuD0nt3LlTSpYsqbyOioqSoUOHir+/vxQoUEDy58+vWrIag51M9Nlnn8mgQYPk8OHDYm1trfzAnzhxQvLkyaOVXp/goEGDBhIQECCjR48WCwsL+euvv0Qk8UIpVKiQ1jZv374tuXPnlunTp4uISGRkpPj7+8sXX3whUVFRqrSxsbGyceNGadiwoVhYWEiRIkVkwoQJ8uTJE1W6HDly6Dz5k7O1tZVr165l6PeUL18+2b17t8TFxYmHh4ds27ZNRET+/PNPnU8l+ihbtqysWLFCRNQ3vlGjRqkCwurVq0v79u1l+fLlYmFhIbdu3RIRkUOHDomnp6fWdvV5etVnm4cOHdJ7SUrfJzh9f5x9fX1l5syZEhYWJo6OjnL8+HERETlz5ow4ODjIzJkz9VqSKlSokKxdu1aioqIkV65csn//fhERuXDhgs4fHX3Y29vL+fPnDf5cbGys/Pbbb9KgQQOxsLCQ4sWLy9SpU+Xp06ciol+poohhDyT6liqK6P/0rk86Gxsb5cc3V65cyjV38+ZNyZ49u9Z3o8+5nDRYS3osFy5cEEdHR9X2UjuXkgeE+j4MGXJ9pvSAc/PmTZ0PLvr+70VEXr9+LW3atBErKyuxsLCQCRMmSEJCgsHHI6L/9WHIsQcFBYmnp6fUqlVLcuTIIa9fvxYRkdWrV+uswrS2tlbym9S9e/fE1tZWed2yZUvJnTu3DBw4UKZPny4zZsxQLVmNwU4mOnjwoDg7O4upqal06tRJWT9kyBBVsbuGPsHBgwcPpH79+lKyZElVMXfv3r1TrLK6ePGiZM+eXWbOnCl+fn5StWpVrUAnufDwcJkyZYr4+vqKhYWFNGjQQDZv3izx8fGSO3duuXHjRqqfF0l8wkxaPZISQ76nESNGiJOTkxQtWlTy5csn79+/FxGRxYsXaz0J62vz5s3i5OQkEyZMEFtbW5k8ebJ8++23YmlpKXv27FHSXbhwQUqUKCGOjo7Kk6hIYpuEVq1aaW1Xn6fXixcvGrRNQ+j7BKfvj/P69evFwsJCTE1NpVatWsr6cePGiY2NjXh5eaW5JH/Cmzt3rpibm4uzs7PyAyoiMmvWrBSrE54+fSpHjhyRI0eOKIFIUsWKFZNz584Z/H1pvH//XqZNmyZWVlZiYmIiVlZW0q5dO71KFUUMeyDRt1RRRP+nd33S5c+fX/mOypUrp7Qn2b17t2TLlk3rO9HnXP7iiy9k1qxZyrHcvXtXRBLP5YCAANX2UjuX6tSpo0qr78OQIddSsWLFlFK+pN/7rFmzdP7g6/u/F0l8SChSpIgUKFBAbGxspFOnTqr7rSEPd/peH4Yce0xMjEyePFl69uypuk6mTZsmixYt0jp2V1dXJchKau/evZIrVy7ltZOTkxw9elQr3aeCwU4mi4uL06rXvXfvnkRERGil1Tc4SI/jx4+LnZ2d1KhRQ++GySdPnpSuXbuKlZWVeHl5iZOTk3h5eUm3bt3khx9+UD2t6LJ//37x9/eXgwcPyt9//62zfUlCQoI8ePBAIiMj9f6e1q9fL9OmTVM18gsJCUmxYWFUVJRs375d5s+fn2Ipw+HDh6VWrVqSK1cusbGxkUqVKqnaI6Tm3bt3Ehsbq7XekKdXXdtMWu+f3Js3b+TatWty8eJF1ZKUvk9whvw4P3nyRM6dO6fcdEUSG1jqU4KXktOnT8vGjRuV/ImIbNu2TevGGRUVJZ06dRIzMzOlKtLc3Fw6d+6sak+ye/duqV27ts6n0bTy0a1bN8mWLZvkzZtXfvrpJ7l7964cPnxYatasKZaWlnqVKhryQKJvqaKI/k/v+qQLDAxUfhTnzJkjNjY2UqtWLXF2dpbOnTtrfTf6nMtHjhwRe3t7+f7778Xa2lp69eolX375pdjZ2cmZM2e0tqnvuWToQ2Nyuq6lRYsWSZ48eWTNmjViZ2cnq1evlrFjxyp/J6dvifL48ePF0tJSunfvLu/evZPLly9L6dKlxdvbW/nODD0efa8PfY89NDRU5/0qNjZWQkNDtdZ37dpVfH19ldJCkcSqyZIlS0pgYKCyzsvLS65evZpmnrIKg51MFhsbK3v37pXg4GCJjIwUEZFHjx6pTlwNfYIDkcSqqZ9++klatmypBAM7duxQiplLly6t1buiTJkykj17dilatGiqvS7Cw8Nl8uTJ4uPjI9bW1tKyZUvZu3eviCT+2AwcOFBsbGzEyclJ8ufPL1999VWKDUWTto1JqX1JfHy8WFhYKE+ihtCnMem5c+fEzc1NHB0dxczMTHLlyqXUtRtaj5w/f375+++/tda/ePFC57aSPr0mbSOT/On1xYsXsmjRIhk8eLA8f/5cRBKfDjVBR1JPnz6V+vXrp9h2J6mYmBiZMmVKmk9whpYW3rp1S3bt2qUEzSkFvdHR0XL9+nWdN9b0pO3atat4e3vLjh07lGti+/btUqBAAfn++++VdM7OzmJpaSmmpqZib28v2bJlUy3JTZ06VUqUKCEWFhbSqFEj2bp1q+oHWETk4cOHYmJikmWliiL6P73rky4+Pl71Xa9evVp69Oghs2bNUjV21tD3XL59+7Z8++23UqFCBSlWrJi0adNG1Vg6ubTOJUMfhgy5llauXCkFCxZU7lN58uTRahSuoW+Jspubm1aj3ZiYGOnfv79YWloq6wx5CBbR/1o6ffq0LF++XJYvX65UuyVnamqqcz9///23zgb8L1++FD8/PzE3N1dKaM3NzaV69eqq3p0rVqyQZs2a6dXJJStw1vNM9ODBA9SpUwdhYWGIjo7GzZs34e3tjV69eiE6OhrBwcGq9KamicMemZiYqNaLCExMTBAfH4/Q0FDUrVsXlSpVwuHDh3Ht2jV4e3tjwoQJOHPmDDZs2IBRo0bpnccRI0Yofzdo0AC7d+9G4cKF8e2336J9+/bInj27Kv3Tp0/h6uqKjh07prjNpUuXAgBCQ0NT3XfVqlUBAMWLF8fixYvh5+eXZn7j4+Mxbtw4BAcHIyIiQvlOhw0bBi8vLwQGBqrSV6tWDYULF0ZwcDCcnJxw8eJFWFhYoG3btujVqxeaNGmC06dPIyEhARUrVlR99tSpUzAzM0P58uUBJP5/wsPD4eLiokoXEREBDw8PnWN5hIeH48mTJyhVqpTy//3jjz/g6OiIokWL4tKlS6hZsyacnZ1x//593LhxA97e3hg6dCjCwsKwfPly1fbatGmjjElSrVo1bNq0CRERERg7diymTp2K+vXrAwBiY2Px3XffYdiwYcifP3+a36s+nj9/jhYtWuDgwYMwMTHBrVu34O3tjc6dOyNbtmyYOnUqAODt27fo0aMHli1bBgDK/6hHjx7IkycPBg8erGzTkLQ5c+bEhg0bUK1aNVW+Dh48iBYtWuDZs2cAoGwrJR06dFC9LlSoEDp37oyOHTsid+7cOj8TExOD1atXw87ODg8fPkTz5s2RN29eZX/Ozs5o1KgRAMDMzAxPnjzROk+eP38OFxcXxMfHq9YfOXIEo0ePxsWLFxEVFYWyZcti+PDhqF27dqrHofH+/XuYmZnBwsIC8fHxOHbsGHx9fZEtW7YU06VHSueyk5MTihQpYtC29D2XEhISYG1tjStXrqBQoUKpbtPQa0nj7du3iIqK0vp/Jbdhw4Y0//d///03cubMqfPzoaGhyj1PX/peH3/99RdatWqFY8eOwdnZGUDiQIGff/451qxZo+QXSLyPRUREIFeuXKp93bx5E+XLl0dkZKRWPkQEe/fuxcWLF2FjY4OSJUuiSpUqKFOmjOr36vbt2xAReHl5aZ1n586dM+jYM1yWhlpGrlGjRtK2bVuJjo5WFVEfPHhQChYsqJVen8anfn5+MnXqVBFRF3ufOnVKZ6NnQ3Tu3Fkpak1JQkKC0sYgo/z+++9SuXJluXz5cpppDem9IpJYj6zp+eDk5KQUs548eVKKFCkiIiIVKlSQ9evXa332t99+k88++0zppm5iYiLLly9XdV3fuHGjBAUFSeHChdN17DVr1pQBAwaIiPr/eezYMZ2Nnt3c3JSeQg4ODkrbqS1btkilSpVUaR0dHZV2E6mpUqWKLFu2LM3qzXbt2klAQIA8fPhQldddu3aJj4+Pks6QLsiGpLWxsdFZTP7nn3+qGkoaIjY2VkaMGKGqEjWErnGLTExMdD45P3r0SGfj14xmZWWl1//93bt3curUKdm6davOIRmS6tSpk1IynZSmalEk5SESIiMjtUqL9D2XRER8fHyUXl6pMeRaunv3rs7S5Js3b+qs/ly2bJlSmpNUdHS0LFu2TLVOV+lSkSJFpESJEjpL3FMb40jf6yMgIEAqVqyo3OtEEtvm+fv7K+2lNCXvpqamUq9ePVVpfMOGDcXLy0urbVVaRo4cqfeS1cyzNtQybkeOHMHx48dhaWmpWu/l5YVHjx5ppdcn6r98+TJWrVqltd7FxQV///231np9Sy0AqEYLfv/+PaytrbW2Z2JiAk9PT8TFxeHQoUO4c+cOWrduDQcHBzx+/BiOjo6wt7dX0h85cgQLFizA3bt3sX79euTJkwcrVqxA/vz5UblyZQBA+/bt8fbtW5QqVQqWlpawsbFR7fOff/5R/l6+fDkWLlyImjVr4vvvv1fWlypVCtevX9fKr4WFhfIU6uLigrCwMBQrVgxOTk54+PAhAODq1asoW7as1mfLlCmDq1evonHjxsqxJy8VsLCwgJeXl/IkmlT16tW1SumSOnDgAE6fPo0FCxZovZcnTx6Eh4drrX/z5o3yBJotWzY8e/YMhQsXhq+vr9aTU+PGjbF582b06dMnxTxojrN///7o0aMHWrRogcDAQJ2lbHv27MHu3btVT4lAYsnIgwcPlNebN2/G2rVr4efnpzr+4sWL486dO6rPGpLW398fI0aMwPLly5Vz8927dxg1ahT8/f1VaePj41UjzRYvXhwNGzaEmZmZKp25uTmmTp2aakmlxsSJE+Hl5YVvvvkGQOLIs7/99hty586NHTt24NChQwASz5NffvlFdR3Ex8fj8OHDKFq0aJr7SYmpqWmq55OmxKhEiRK4e/duqiV6u3btQvv27XXeMzSlyEktW7YMEyZMgIODg2r9u3fvsHz5cixZsgTOzs6p5i9v3rzo2LEjRowYofe5BAATJkzAgAEDMH/+fJQoUSLF7RtyLXXs2BGdO3fWKi06deoUfvnlF+V/qdGpUyfUqVNHq/Tn9evX6NSpE9q3bw8gsXSpVq1acHJywv3799GlSxdkz54dLi4uePXqlVICpC99r4/Q0FAcP35cVcJWpEgRzJ49G1988QUAwMnJCUBiKY2Dg4PqPmtpaQk/Pz906dIFADBr1ix07doV1tbWmDVrVor5y5YtG3r27GnQMWUVBjuZKCEhQeumASQWOSa/aWikFRw4OzvjyZMnWjey8+fPI0+ePFrbCwoKwsCBA7WCnUePHmHixIk4deqUKr8///xzmlVEyavnvvzySzg4OGDixImq6rnffvsN7dq1Q5s2bXDu3DlER0cDAF69eoVx48Zhx44dAIAZM2bo+Y0m5rtgwYJa6xMSEhAbG6u1vkyZMjh9+jQKFSqEqlWrYvjw4fj777+xYsUK5cZpZWWFiIgIeHt7qz775MkTmJubIyEhAQCQP39+nD59OsVi6uRKly6teh0bG4sLFy7gzz//VIImKysrncXGN2/e1CpmBhJvYDdu3ICXlxdKlSqFBQsWwMvLC8HBwVpVMIUKFcLo0aNx7NgxlCtXDnZ2dqr3NTepGTNmYMqUKfj999+xbNkyVKlSBQULFkTnzp3Rrl07uLq6AkgMtGxtbbXy9M8//8DKykp5/ezZM51VAm/evNH6MTQk7cyZMxEQEIC8efOiVKlSAICLFy/C2toau3fvVtLdvn0b9erVw6NHj5Sb//jx4+Hh4YHt27ejQIECqu3WqFEDoaGh8PLy0spHUsHBwfj1118BAHv37sXevXuxc+dOrFu3Dv3798etW7cAJP6YBAcHqwIrS0tL5f+UVLZs2XQGCCYmJrC2tkbBggXRsWNHdOrUCZs2bVKliY2Nxfnz57Fs2TJV1fXYsWPRv39/jBkzRuf/3dHRET169EDz5s0xfPhw5f+rS2RkJCSxbSdev36tegCKj4/Hjh07lP9fSEgIfvrpJ3Ts2BGfffYZgMRqrmXLlmHo0KF49uwZpkyZAisrK73PJUD/hyFDrqXz58+jUqVKWmn9/PzQvXt3rfXy/00Jkvvrr7+UIAIA+vTpg44dO2LSpEmqe/yECRPQunVrVbMBfeh7fXh4eOi8/8XHx8Pd3R3A/5oXeHl5oX///lrnRVLTp09HmzZtYG1tjenTp6eYzsTERLmPPHz4ECYmJkoA+8cff2DVqlXw8fFB165d9TjaTJal5UpGrkWLFtKlSxcR+V9XzNevX0uNGjV0Tu2wYcMGsbGxkW+//VasrKyUIsvZs2dL3bp1RUSkX79+UrlyZXny5Ik4ODjIrVu35OjRo+Lt7a2zqDBp0WdSd+/eFXt7e9U6fauI9K2eK126tFLEmzTduXPn0uyNlBJDeq+IJDbY0wzhHhERIQEBAeLg4CBly5ZVxmJp2bKlVK1aVV6+fKl87sWLF1K1alVp3rx5uvKZmhEjRki/fv1EJLFXTOPGjSUmJkY5Rx48eCBlypTROcT9ihUrZOnSpSKS2BMmZ86cYmpqKtbW1qrRkkXEoC7gSUVERMiYMWPE2tpaabS7f/9+qVu3rgwdOlRE/nc+x8fHS/PmzZWxeUQM64JsSFqRxF5oCxculL59+0rfvn1l0aJFWtVvdevWlTp16ihVCCKJjS/r1Kkj9erV09rm/Pnzxc3NTfr16yerVq1KsUpH33GLqlWrpve0HNOmTZMcOXJI27ZtZdasWTJr1ixp27at5MyZU37++WflXrBw4cIUt/Hrr79Kw4YNldfJB87U1THAwcFB1bsmJWkNaGlmZiZjx44VEZEaNWrI2rVrtbaxdu1aqVGjhogkTtFQpEgRvc8lkcSelqktGoZcS46OjjqHJzhz5ozqvqjp7GFqaiq+vr6q6qaSJUuKg4OD6h6RdIyjpPen+/fvi5WVVZrfd3L6Xh+bN2+Wzz77TNUo+fTp0+Ln56cMnpjZko8M7eDg8MHTI2UkBjuZ6OHDh+Lj4yPFihUTc3Nz8fPzkxw5ckiRIkV01unrExxER0fLt99+K+bm5mJiYqL0kGjbtq3ExcVpbTN79uw62+EcO3ZMa9AyfQc4y549u1I3nDRd8nFZbGxslPrvpOnu3LmjdeGn1cNMw5DeK/r666+/xNvbW5ycnKRatWpSrVo1cXZ2liJFiig/bhr79u2TIUOGSGBgoHTq1Em16OvWrVtKr6CXL18qXX7NzMzEw8NDLCwspEqVKmmOhSSS+ON/9uxZefbsmWEHnYJTp07J999/L87OzpIvXz4ZPny4BAYGio2NjXTo0EFcXFykTp06YmlpKc2aNZNixYqJq6ur6ofTkC7IhnZX1oetra3OHkAXLlzQGrtGJPURt5P2TtFn3KKYmBjx9vbWuwtukyZNlJGJkwoODpYmTZqISOKYKiVKlEhxG3fu3FEdlz5t/zp16pRiz6OkDh06JAcPHhQTExPZuHGjajvHjx+XR48eKWmtra1TbAejuS/cvXtXbGxs5PLly3qdS4Yw5Fr66quvpHnz5qp7ZlxcnDRt2lTVu0zT3sTExET69++vaoMybtw4WbVqlao9Uq5cuZQgKuk9b8+ePcqAjnFxcTJ58mSpUKGCuLq6ptpbMLXrw8HBQfU5TQ9ES0tL1d/Jt2nodCrJpTRVRnqnR/pYWI2VifLmzYuLFy9i7dq1Sk+LwMBAtGnTRqsoFgBu3LiBKlWqaK13cnLCy5cvASQWhy9atAjDhw/H5cuXERUVhTJlyqBQoUJ49+6d1nZr166NIUOGYMuWLUpx68uXL/Hjjz/iyy+/VKXVt4pI3+o5Nzc33L59W6t64OjRo6oqo+Q9zH7++We4uLjg4sWLWLx4MTZs2KCkbdSoEbZu3YrRo0fDzs4Ow4cPR9myZbF161at4wGAe/fuIS4uTqtu/tatW0p7mzx58uDSpUv49ddfld4GnTp1QqtWrVQ9CkaNGoXRo0ejfPnyyJ07d6rtE1Jz4sQJpTrAyckJe/fuxbFjx1S9cWrVqgXRo6Okra2tzvZGScXExODevXsoUKAAzM21L/mnT59ixYoVWLp0KW7duoUGDRpg9erVCAgIUI6xY8eOqFOnDh49eoQ5c+bAwcEBUVFRaNKkCYKCglRVaJUrV8aFCxcwYcIE+Pr6Ys+ePShbtixOnDgBX19f1b4NSQsAd+7cwYwZM1RtcXr27KmqmrKyssLr16+1PhsVFaXVfg6AUk2ZliZNmqB169YoVKgQnj9/jrp16wJIrBLRXDcWFhZ4//69XtsDgN27d2PixIla62vWrIl+/foBAOrVq6fqlZbUu3fvMGvWLFUVtj5t/+bMmYPmzZvjyJEj8PX11eo5o6ma0Gzr3r17yJcvX6rnvIeHBxYvXowJEyao1i9evBgeHh4AEnthZcuWDSVKlMDNmzfTPJc07ty5g6VLl+LOnTuYOXMmXFxcsHPnTuTLlw/FixcHYNi1NHHiRFSpUgVFihRR2rQcOXIEkZGROHDggJJOU+2kaaulqx1jUg0bNsTo0aOxbt06AInVPGFhYRg0aBCaNm0KIPE+8ssvv6Bfv34YOnQofvrpJ9y/fx+bN2/G8OHDVdtL7fpIb++mjh07IiwsDMOGDdPrPta7d2/4+voiMDAQ8fHxqFKlCk6cOAFbW1ts27ZN6R0ZGxurVEHu27cPDRs2BAAULVoUT548SVdeM1RWR1vGTDP3jC79+/fXWpc/f35lTJukTwXLli2TYsWKiYhhE3uKGFZqoW8Vkb7Vc+PGjRMfHx85efKkODg4yJEjR2TlypWSK1cupWhWxLAeZqn1mtHVY6NKlSqqom6NFStWSNWqVVPcli5ubm5KMa0+ko8/1LhxY6lYsaKYmZkpVY6TJk3S+dm4uDhp2bKl1vomTZoow8snNXHiRGnWrJlqnb6zUFtYWEjRokVl0qRJOkckFknsaVOqVKkUj3XOnDkpvpea1HrgJS9+37Vrl1haWspnn30mffr0kT59+shnn30mVlZWqlK9du3aSfHixeXkyZOSkJAgCQkJcuLECSlRooR06NAhXfkU0X/k2Z9//lk6dOig1/hCHh4eMm3aNK3106ZNEw8PDxFJHDfH1dVVnJ2dVU/ymhIMBwcHrR5Uhw8fljZt2oi/v78yxszy5cuVQUt/+eUXMTc3F3t7e/H09NRZxZl8wMrUFpHEHoGWlpbKYHOBgYFSqlQpsbKykq1bt4pI4gScffr0SXV28OTn0qFDh5RBDy0tLZXzePz48aoqL0OvpUePHsmQIUOkXr160rRpUxk1apSq6lOXM2fOyIoVK2TFihU6q8F0lS6Zm5urpufx9vZWBiW0t7dXSrJmzpypNdqxIdeHvgydTkXfqTIMnR7pY2Owk4mcnJx0zgrbu3dvcXNz01qvT3BgyMSeSd9fsGCB/PDDD9KvXz9ZtmyZztF59a0iCgsL06t6LiEhQRmVVFMtYG1trdTVa9jZ2Sl10cmrxZJXdxUrVkznDeno0aPi5OSktV7Trim5W7duqdLfvHlTFixYIGPGjJFRo0apFo3s2bMbVMSefKLKzp07y6BBg1QjM+fKlUurOiEuLk6aNWumcybxnDlz6qyiuXTpkri4uKjW6dtt9fDhw3odj7Ozs86qpRkzZoiDg0O6ZmZ3d3fX2U16w4YNWt3JS5curUyEmNSgQYNUXXZfvHghDRs2FBMTE1WRfuPGjVXtspLSZ5RtfTVu3FgcHBwkd+7cUrt27RQH3RQRWbhwoZiZmUmDBg1kzJgxMmbMGGnYsKGYm5sr58WUKVOkRYsWWm1Vli9fLjt37tSqTtCn7Z+rq6v8/PPPWoMnJqWpxtN3Ql2RxGt28ODByrEOHjxYZ1futM6lpPR9GDL0WjJERESEVK9eXUxMTJRg08TERGrUqKHzAeHIkSMyd+5cmThxotI0QMPW1laZesPNzU3Onj0rIonVkcnnEEvt+rCxsUnXNWfodCr6TpXxoSNdZzYGO5lo27Zt4uTkpJoConv37uLu7q5zeH19ggNDJvZMD32nTYiNjZWVK1fKgAEDpFu3bjobimpER0fLlStX5NSpUzpHjs6TJ4/SFiLpzWzjxo3i7e2tStupUycpV66casyP0NBQcXR01PmErE9DRM0Pjqurq5QqVUpKly6tLEl/RAcOHCijR4/WeYzp9ccff4izs7Myzk9sbKx8/fXXUqxYMa0JWEUS20UkHUtD49q1a1pjuBgyC7U+Fi1aJLly5VKdu1OmTBFHR0c5fPhwmo1Zdc3MPnz4cPH29lYd65o1a8TW1lZpE6NhZWWls03IjRs3dDb+vHnzpvz+++/y+++/6wx4NQwZZXv58uVSqVIlyZ07tzLe1PTp01VTleg7O7vG0aNHpWXLlkrD15YtWyrXQ3ro0/YvW7ZsaQbu9+/f13tJS/ISirTOpaT0fRgy9Fp68eKF7N69W1asWCHLli1TLcm1aNFCypcvr2qLdeXKFSlfvry0bNlSjh8/rpReaYSEhIinp6fkypVLunTpoozTU7hwYTl58qSIJM5FpyllXbNmjWquKZHUr4+0rreUrjlDp1MxZPJlQ0eG/pgY7GSyX3/9VbJlyyZnzpyRbt26KUWAqUkrODB0Yk9dN+hp06alOJdUagxtgKkPQ3qYxcfHy9dffy1Vq1aV9+/fy4EDB8Te3j7FWXX1aYiYL18+nVVDyfXs2VOcnZ2lSpUq0r17d6UqRbOkJK2i7/379ytVEQ0bNhQfHx8JDw/Xua0KFSro7NkwYsQIKVu2rGqdIbNQr1+/Xpo3by4VK1ZMdZCziRMnSp48eeTevXsyYcIEcXR0VOboSdp49eDBg2JjYyO//vprqjOziyQ+ABQvXlyeP38uv/76q9jY2MiGDRu00uXNm1crABJJ7O2jqfJJj6pVq0qXLl0kPj5e+Z7CwsKkSpUq8ttvvynp5s2bJzlz5pSxY8eqvtulS5emOGlpRnvx4oVMmTJFqSaaNm2aVmmVPh0DevfuLT///HOm5jUyMlIWLFggFSpU0NnwNbVzKSlDHob0vZZ+//13cXBwUKYAcXZ2VhZdU4o4OjrKH3/8obX+1KlT4uTkJHXq1FHdQy5duiQWFhby7bffytSpU8XNzU1GjBghIoklkZrvfs2aNWJubi4FCxYUS0tLnSWXKV0faTVET7okrwI1ZDqVzJh8OSuwgXIma926NV6+fIlKlSohV65cCA0N1WoE3LlzZ722tWTJEgBAyZIlsW3bNnz55ZeoWLEitm3bprPBMwDMnz8fw4cPR+/evTF27FilYXG2bNkwY8YMnYNcxcTE4OnTp1oNN/Ply2dQA8z3799j9uzZOHjwoM7taRrYjRs3DkFBQfDw8EB8fDx8fHwQHx+P1q1bY+jQoarPmJqaYs2aNahfvz5q1KiBS5cuYfz48TrHxgD0a4j44sULNG/ePM3juXTpkjJ2zp9//ql6T1cjv6dPn6Jly5Y4dOiQagj36tWrY82aNcrYHzVq1MDy5cvRtGlTFCtWDKGhoSmO5TNs2DA0adIEd+7cQY0aNQAA+/fvx+rVq7F+/XpV2vLly2P79u3o0aOHKo+//PKLahC+WbNmKeOjbNmyBZ06dcKdO3dw+vRpBAUFqbY5cOBAPH/+HOXLl0d8fDx2796tDECYvGGsmZkZ/Pz8tMYvSm727Nlo06YN/Pz88OjRI6xevVrnedmlSxd07doVd+/exeeffw4AOHbsGCZOnIhixYrhzZs3sLOzQ9++fVPd37Rp01SvL1y4gAULFsDU1BRmZmaIjo6Gt7c3Jk2ahA4dOqBJkyZKPhctWoTGjRurGuGWL18e/fv319rPs2fPcOPGDQCJ4yPpGjcpqffv32tNOeLo6Kj8febMGQQEBMDGxkYZx2batGn4+eeflYargH4dA+Lj4zFp0iTs3r0bJUuW1GqgnPw7SmmqBQ3NoHoAcPjwYSxevBi//fYb3N3d0aRJE8ydO1frM6mdS0m1bNkSgwYNwvr162FiYoKEhAQcO3YM/fv3V+0X0P9a6tevHzp37oxx48bpHO8nuYSEBJ3TbFhYWCAhIQEXLlzAmDFjlPVr1qzBZ599hkWLFgFIbLw9YsQIjBw5UnXufPPNN8iXLx9OnDiBQoUKoUGDBlr70Pf6SI0hY5klN3LkSJQoUUKZKkPTCNnMzAxPnz7FixcvkC1bNq2pI5LL6ukiODdWBkvpRrt+/XqULVtW1WtEc0MxNTWFp6cnypQpo7MHzsGDBwFA60fjwYMHcHFxUQU6yU8oHx8fjBs3Do0bN4aDgwMuXrwIb29v/Pnnn6hWrZpqBNVbt26hc+fOOH78uGobkmRuLiAxOLl58yZ++eUXnb17NNq0aYM9e/agWbNmcHV11boQkg+wFRYWhj///FPVwwxIDDKSe/36NVq1aoX69eujW7duyvqSJUtqpX38+DHmzJmjmtele/fuyrxfgYGBqFChgmpE5ozwzTff4O7du1i+fDmKFSsGIHG05kqVKsHe3h4VKlRQpT958iQKFiyoujlv3LhRa7vbt2/HuHHjcOHCBeV4RowYoRVsHD16FHXr1kXbtm0REhKC7777DlevXsXx48cRGhqKcuXKAUjsLTFixAi0atVKdY4MHz4cBw8e1BkITpkyBVWqVFF+dAFojaSadFtJ/f7771rbi42NRZ8+fVC7dm2lFwcA1d8ighkzZmDq1Kl4/PgxAMDd3R0DBgzA5s2bsWnTJjg7O6N69epa209Kcz1p5MqVC8ePH0ehQoVQuHBhzJ49GwEBAbh+/TrKlSuHN2/eAABsbGxw/fp1eHp6qo7t1q1bKFmyJN69ewcgccC3Hj16YPny5UqAb2Zmhvbt22P27NmqH9e3b99i4MCBWLduHZ4/f66V16S9Hr/44gsULFgQixYtUq67uLg4fPvtt7h79y4OHz4MIHEAxZUrV2LJkiX48ssvsWPHDjx48AB9+vTBsGHD0KNHj1S/IxMTE1WPJABa82zFxsbi7du3sLS0hK2tLa5evYqQkBAsXrwYkZGRaNGiBYKDg3Hx4kX4+PgAQIoj8aZ1LsXExCAoKAghISGIj4+Hubm58jAUFRWl8wc2rWvJzs4Oly9fTjMQ12jUqBFevnyJ1atXK4P0PXr0CG3atEG2bNmwc+dO3Lp1S+l1VrlyZdStWxc//fQTAOD+/fvw9fXV2UswufRcH5r/fUp09fLNCKNGjcKAAQNga2ub5pyMhg6omNEY7GSwtG60GklvKEFBQVi9ejU8PT3RqVMntG3bVjUBZ3on9gT0v0EDQKVKlWBubo7Bgwfr7JKoGbX266+/xv79+2Fvbw9fX1+tkTg1NxUnJyfs2LFD50ilhtAMk5/0VE36WvO3rmHu9TF+/HhMmzYN9evXT7Ubrsbt27dx584dVKlSBTY2NimOrurk5IR9+/ZpBTVfffUV9uzZgzZt2qSZN82op+l1584dTJgwQdUVd9CgQapu3ba2trh27Ro8PT3h4uKCvXv3olSpUrh16xaKFi2KfPnypbkfExMT3L17V7UupWBHM32HPttM6f+p+dFIaSRyQ9SuXRsdO3ZE69at0aVLF1y6dAk9e/bEihUr8OLFC2WUcR8fH4wfPx6NGjVSHdvs2bOxdOlS5UHju+++w759+zBnzhzl3D969Ch69uyJL7/8EvPnz1f2HRQUhIMHD2LMmDFo164d5s6di0ePHmHBggWYMGGC6hyxsbHB+fPntaacuHr1KsqXL4+3b98CSAwKx40bh/HjxyvrrKyslFGVM8qtW7fQrVs3REVF4dq1a6hfvz7atGmDOnXqKBOOJg129J2QVte5BCSO0Jt8uI1OnTrpnd+k11KTJk3QsmVLtGjRQq/PPnz4EA0bNsSVK1eUgObhw4coUaIEfv/9d1SqVAkrVqxAlSpVEBMTA2dnZ2zduhU1a9YEkDjNT9WqVZXRnh8/foyjR4/qLPHu3bu3XnlKen3ouqaS3pOSXke6RpnWpLeystIanmH06NGp5iN5d/lPVtbUnlFy79+/l1WrVkmtWrXE1tZWmjdvLrt27ZKEhIQP2m6xYsWUtjlJ67tnzZql1R7D1tZWZ8Pp5PRtgFmsWDGlW2pq4uLi5JdffpFWrVpJzZo1pXr16qrF0IaSFy9eVHqZ6NNlVt+Rhv/++2+pUaOG0uhP81126tRJ+vbtq3VcKXXxPHfuXLoaCGeW/PnzK22JypUrJ8HBwSKS2JBRVx2+vpKO+Pox6TNpZVL6jLItktioNk+ePLJmzRqxs7OT1atXKx0KVq9eraTLkSOHHDx4UGs/Bw4ckJw5c6rWeXh4KGmT9hxcvny50nNKw8XFRWdngV27dmn1xBNJu+1fRjh9+rQAkD59+mg1Hjc3N5crV6588D5GjRolb9680Vr/9u3bdI/M+8svv0i+fPlkxIgRsmHDhjQnQhVJ7ECyZ88eZaRrzTAhIiLff/+9+Pv7y+HDh6Vv376SI0cO1WCDK1eulPLly4tIYhsvS0vLVLv9G+rly5eq5dmzZ7Jnzx6pWLGiVm+wtBo2awYT1dxDk3bYKF26tBQvXlxsbW3F0dFR6zfkU8Zg5yN5+PCh3jMr379/X0aOHCne3t6SL18+nTeqtBq9auh7gxYRKV++vKrn2IfasWOH1KlTJ83eGkFBQWJnZyctWrSQXr16Se/evVWLoZLOOp1a91l9RgtNypCZmkVEGjZsKFWqVFGNMvvXX39J1apVpXHjxqq0T58+lSNHjsiRI0e0urJmy5ZNGSE5eUPDtBoXiiT+gF++fFlnoCeSOMy+piH4nDlzlDFNnJ2dpXPnzjq3qRm/JqnkXazNzc3T7HptCH1HfjU1NdXZ++PZs2diZmaW7v2LJP5oFSxYUDmH8uTJo9Xd2ZDZ2e3s7JRuyHny5FFmtL97967WaM89evSQvHnzypo1ayQsLEzCwsJk9erVkjdvXtV0CEuWLElzBnuRxEBlwIAB8s0336T7f3T+/HmxtbWVb7/9VhwcHOSzzz6T2bNny7Nnz/QOdnSdS0ml9P/8+++/dV7DqV1LGvp2pdfXs2fP5IsvvhATExNxcHCQjRs3qt6vUaOG/PjjjyKS2NB+7NixqXb7zyiHDh3S6riwbNkyyZs3rwwdOlTprTh06FDx8PCQBQsWyNixY8XZ2TnVBuyvXr2Sr7/+WmxtbVO9H6V1b/qY2EA5EyUkJGDs2LGYOnUqoqKiACQWu/fr1w8//fRTisX5Sattkhfj69voVePbb7+FjY0Nhg4dirdv36J169Zwd3fHzJkz0bJlS1XaiRMnYuDAgRg3bpzO6pykjSX1Ub58ebx//x7e3t6wtbXV2p6mSHfNmjVYt24d6tWrp9d2k4+i6+Pjg169eintoe7du6d8D/fu3TMoz6kxZKZmIHGU2oYNG8LLy0ur6HvlypUA9GvfMX36dKW6xpCGhmfPnkWHDh1w7do1rbZgSYvAFy5cqOw7KCgIOXLkwPHjx9GwYUN89913qs8tX74ckydPVia9LFy4MAYMGIB27dqpJkQEgLZt2+qVz9DQUEyZMkX1/xwwYIDSoFwjrZFfDZm0MqkaNWpg48aNyvWUdHuNGzdWtV9p06YN2rRpg7dv3yIqKkrn9gyZnd3b21sZnbho0aJYt24dPvvsM2zdulUrP1OmTIGJiQnat2+PuLg4AIkNZLt166Zq9Dp48GD06tULzZs3R2BgoNKYO6k1a9agffv2CAgIwJ49e1C7dm3cvHkTERER+Prrr7XSJ29HIiJ48uQJ5syZgypVqmDRokWYMWMG1q5diyVLlqBv375ISEjA3r174eHhobO6MbVzKfm+dFUTX7x4UVXdb0hbKX1GzdZ35m8gsar78OHDePXqFezt7VWTwAKJbTbt7e0BJLbTatmypd7VufpeH7q4uroqjeQ1li1bhqlTp6qq8Bo0aABfX18sWLAA+/fvR758+fDzzz/jxx9/1LldR0dHjBo1CocPH8bUqVP1Oo4sl5WRlrEbPHiw5MqVS+bNm6c8Tc+dO1dy5cqlRPkaSauxrK2tpVmzZrJ9+3at6D+t8R5S8+bNm1THO9A1eaCmVASAVpfklBaNmjVrSqFChWTChAmydOnSFCfwy507d5rd8TX0HUVXIzQ0VOdItrGxsRIaGqq8fvjwocydO1cGDRqUYpdye3t7pag+acnO6dOnJXv27Drzm1rRt4hI165dxdvbW3bs2KEMALZ9+3YpUKCAfP/993p9JykpWbKkfP3113Ly5Em5d++ewWOjJDd16lSxtbWVgQMHKsX9AwYMEFtbW51jHOljxYoVYm5uLi1atFAG8WvRooVYWFjIr7/+qkqb1sivhkxamfxzuq6LiIgIMTc3N/iYLl++LO7u7pIjRw6pUaOG1KhRQ3LkyCF58uTRmutt2rRpysCFe/fuFWtra7GyshJTU9MUh1N48+aNXLp0SS5duqSzeic2NlY2btwoDRs2FAsLCylSpIhMmDBBNVaLr6+vMlKx5lxOSEiQLl26aA1aKqJdEmJqaiqurq7SqlUrefz4sVb669evy4ABA8TNzU2sra2lQYMGqvf1OZc0pZimpqZaJZqOjo5iamoqP/zwg7LN9F5L796907ney8tL/v77b+Xv9Eyqq8uAAQNUI5inRt/rI3mp7YULF2Tnzp1StWpVqVSpkmqbhsxhlpojR45ojbPzKWMD5Uzk7u6O4OBgVet5ANiyZQt++OEHPHr0CADwww8/YM2aNfDw8EDnzp3Rpk2bFLsep9To9Y8//kDt2rWVObTSIzQ0NMX3QkJClK6s79+/x7x58+Dj46M8qZ48eRJXrlzBDz/8gPHjxwNIbPh64sQJpWFzSqZOnYq7d+9izpw5ac7TUqZMGQQEBGjNvzN48GDs2bNHqzeamZkZnjx5ovUE/vz5c7i4uCA+Ph779+9Hw4YN4e3tjevXr6NEiRK4f/8+RARly5ZVnuzr1auHcuXKYcyYMXBwcMClS5fg6emJli1bIiEhQTWHV3Lv37+HlZWV1vHlzJkTGzZsUOaX0Th48CBatGiBZ8+epdigUJekpW8ODg6qeZuS0tXDLSWaHm758+fHqFGjtLr7Llu2DCNHjkxXKVqxYsXQtWtX9OnTR7V+2rRpWLRokfI0CyQ+0f76668oU6aMzm2FhoZCRFCjRg389ttvqqd+S0tLeHp6Kj1pgP99B6VLl8aBAwdU6ePj47Fr1y4sWLAA9+/fBwBERESgf//+2L9/P54+fapVWpa0FPbt27f49ddfcf36deU4U5oTL6kHDx7g7NmzKFiwoM6ehYaKiIjAypUrsWzZMly/fh116tRBYGAgWrdujStXrsDLyws5cuTAoUOH4Ovri2vXrqFGjRoZNpdRfHw8tm7diiVLlqhKh/Q5l5YtWwYRQefOnTFjxgxVyaGlpSW8vLxUJWX6XEtJ8zVu3DgEBwcjIiICN2/ehLe3N4YNGwYvLy8EBgZmyPHrEh8fj6+++grv3r3TWYKetNu/vteHrk4cAODn54clS5aoGrUXLlwYTZo00XkP3bRpE27cuIEzZ86gUaNGePTokVaplvx/qd6KFStQtWpVrFq1CoDhDZ8/uqyLs4yflZWVzhKL69evq0a7NTExEU9PT2ncuLFW3XnyenRDG71+6Ay3ugQGBmpN+SCSONpn0gagZcqU0TlfVXKNGzcWJycnyZ8/v3z11Vepth8wdBRdExMTnfX2N27cUL6vChUqKE+zmqfc169fS8OGDWXevHnKZwydqTk+Pl5Gjx4t7u7uqrmphg4dqrTz0Kd9hz4jper6fzZq1Ejn4HxJt6nPtjWsrKx0jkR88+ZNnd+9PiwtLVOcziP5NvUd+fX+/ft6tYdIeuy62m7Y2trK4sWLlfR16tQRHx8fmTdvnmzatEk2b96sWjLD119/rQz3n9q9IbV2NidPnpSuXbuKlZWVeHl5iZOTk5iZmSnH5uvrq8zjd/z4ca0BJ3VJaeZrfRlyLh06dEjn9DbJGdJWatSoUeLt7S0rV65UDRC5Zs2aTB8ob8yYMWJiYiJFixaVqlWrKnMWVqtWTapXr65Kq+/1kbzUNiwsLMUSK0PmMBPRLtXy9vaWihUrypAhQ1QdAQxt+Pyxsc1OJipVqhTmzJmjFRnPmTNHVdrRvn17vWfQrlGjBnr16qU13kOfPn2Ubo5JGTrD7cuXL7F48WLVrNKdO3dWPVWtX78eZ86c0fps27ZtUb58eWXwwwkTJqBfv374+eefU20D5OzsrLOdgC65cuXChQsXtGYxv3Dhgqr0RjMQnImJCTp27KgMhAUkPlldunRJactw7do1rF69GgBgbm6Od+/ewd7eHqNHj0ajRo2UcXwMnal57NixWLZsGSZNmoQuXboo60uUKIEZM2YgMDBQr/YdSceFuX//PgYPHoyOHTsq7584cQLLli1TStQ0fvnlF3To0AF//vknSpQoofr+Fy5cqMwSf/78efTv3x8DBgxQbXPq1KmYNGmS8pmCBQti3bp1WvX4a9eu1fp/6MvDwwP79+/XKn3at28fPDw8kC1bNtU5++bNGxQoUCDVNmCenp4AEktXwsLCtAbq05SY3Lt3DyICb29v/PHHH6r2bpaWlnBxcVG1vTh69CiOHDmiDCyZmhs3bmD27NnKdVSsWDF0794dRYsWNagtiJOTk3L8ydtEpSYiIkKZyf7u3bto3Lgxtm3bhlq1auHNmzeoUKGCMrBe8+bN0atXLxw4cAB79+7VeR/Rd+ZrfRlyLuXPnz/VkibN0AiGtJVavnw5Fi5ciJo1a6rG1ypVqpRSGpfW4JRJJR+EMTVTp07FkiVL0LFjxzTTpnV9aGjOeX00bNgQ169fx4IFC3Dz5k0AQN26dbF582al9D7p2GX6ltiGhIQog5Nqxkz6448/sGzZMgwdOhTPnj3DlClTYGVllWJboMzEYCcTTZo0CfXr18e+fftUPyIPHz7Ejh07lHQhISF6b1OfRq9JGXKD1neEVhsbGxw7dkzrpnTs2DFVo9A6deoAgNbNU5KNiWPIWDKpjaKb9Oak+WEQETg4OKiqDywtLeHn56cEIHZ2dsoPYu7cuXHnzh0UL14cAJRBF2NjY1GnTh0EBwcrA4WlRZ8b6syZMxEQEIC8efMqAfDFixdhbW2N3bt3A1CPTDx69GhMmzYNrVq1UtY1bNgQvr6+WLhwITp06KCsP3HiBI4dO4adO3dq5S3p99+8eXPMmjVL1UC8ZMmS8PDwwLBhw9C4cWMAieM9ffPNNzh8+LAyfsyxY8ewf/9+rFu3Tq/vJLl+/fqhZ8+euHDhgur/GRISgpkzZ6rOJ309e/YMnTp10nncwP+qmzQ/EPo0VgUSf3hEj1r/3377DS1btkT58uVV1by+vr5Ys2YNpk+fjjZt2sDa2hrTp09PcTvJx5vR9zpp0KABdu/ejcKFC6NLly5o3769qorOzs4OmzZtUqo2fvrpJ1hYWOD48eNo2rSp1qjlALBhwwalwfnWrVtx//59XL9+HStWrMBPP/2EY8eO6ZU3DUPOJS8vr1Qf0jT/T32uJY1Hjx7prN5NSEhAbGwsgMSHgKTOnTuHuLg4FClSBABw8+ZNmJmZKYNz6svKykrvscfSuj6AxDGnbt68iSJFisDe3h7nzp3DjBkz8O7dOzRu3FjneF758+fXqsZKztCR/TOi4XOmypLypP+QR48eyY8//ihNmjSRJk2ayE8//aTqipweaTV6TcqQGW4rV64sHTt2VDXojY2NlQ4dOsgXX3yhrBs/frxYW1tLjx49lO7v3bt3F1tbW1XDu7Tma0mPhIQEmTZtmuTJk0fV/XfGjBk6u6+OHDkyzQlSGzVqJAsXLhSRxHm6ChYsKGPHjpWyZctKzZo1lXQ5c+bUWYWWEmtra6UhcNIGzVeuXFF1K37z5o0sXLhQ+vbtK3379k11UlUbG5sUq/GSNyj09PSUoKCgFOfZSppPXcX/V69e1Zpc9MyZM9KmTRspW7aslC1bVtq0aWPQDMq6bNy4USpVqiTZs2eX7NmzS6VKlT6oWqh169ZSqVIlOX36tNjZ2cmePXtkxYoVUqRIEWUSwy1btihVI8nHWElpzBV9q9G8vb1l2LBhWus1kzpmts6dO8vx48dTTZOQkGBQI3V9Z742hL7n0oULF1TL6dOnZeHChVK0aFHV3GUi+l9LZcuWlRUrVoiI+tocNWqUVK5cWSv91KlTpUGDBqpqu3/++UcaNWokU6ZMMei4x40bJz169NA7fWrXR2hoqDLHV/bs2WX37t3i4OAgRYsWleLFi4upqalyb9MIDQ1NddEwMTERLy8v+frrr6Vx48YpLhoZ1fA5szDYMXKGzHBrbW2tc1DBK1euaJ2ga9eulc8//1zpHfH555/L2rVr9c5XmTJllBuHZnbxtHp3JRcZGalz8DhD3blzRxl3JioqSr777jvx9fWVJk2aqH4QevfurXOivpQYekPVR+HChWXAgAFa6wcMGCCFCxdWrbO3t09zZmuRxP9Fu3btVIOgRUdHS7t27fQeNCytgCGtAdv0sX37dtm1a5fW+t27d8uOHTuU125ubsp4NQ4ODkq7uS1btig9U5KPxaTPmCvOzs56TaBoY2OTYnuUpNeRoZPqpnSdlC1bVj7//HNp3769HDhwIMW2Gh/CkJmvP5Zt27ZJ1apV0/XZzZs3i5OTk0yYMEFsbW1l8uTJ8u2334qlpaXOXp3u7u5aPelEEtvx5c6d26B9N27cWBwdHfVqo5iWL774Qjp37ix//fWXjB49WpydnWXIkCHK+2PGjJFSpUqpPpPSeZ68jd4PP/wg2bJlk9KlS8vMmTPl+fPnqealUKFCOu+PgwYNUu5Np0+fFnd3d4OOMaOwGisT6NPTxdzcHG5ubqri5dSkVbefdJuVK1dW2q988803ePv2bZrtHIDENjRhYWFaw9E/fPhQa5yMFi1a6DXUekptgBo1aqS0o9FUkxgqpakCypYti/379+s9OV3S6Qzs7OwQHBysM21cXByWLFmCffv2oVy5clrTZCSvtx8+fDg6dOiAR48eISEhARs3bsSNGzewfPly/PTTTzrnwElK8/8sUaKE0pNh+vTpaNq0KXbu3ImKFSsCSKwXv3XrFn777TfV55s0aYKDBw+q5mPTJTg4GA0aNEDevHmV9iyXLl2CiYkJtm7dqldvsOT/Q13Te2ikZ0oPILG3iK6i94SEBAwePBh169YFkNiuR3P+Z8uWDc+ePUPhwoXh6+ur9NZLWnWlbzWWvmMcVatWDUeOHNGqJjl69KhqbBRDJtUFEquF58+fD19fX6Wa+fTp07h06RI6duyIq1evolatWsoErFWrVkW1atXw+eefK9W4ycd/SUny/1GnTp3QokULpd1frVq1AAALFiyAi4tLmucykFjdqs+5ZG5urtfknEWKFMHp06f12nfya6lRo0bYunUrRo8eDTs7OwwfPhxly5bF1q1blbZsSUVGRqp6c2k8e/ZMr/muknJ2dlbaFH6oS5cuYeHChciTJw8GDRqEkSNH4ptvvlHeb9myJSZOnKj6zIsXL1SvY2Njcf78eQwbNgw///yzsn7u3LmYNm0aNm7ciCVLlmDIkCGoX78+AgMDUbt2ba376pQpU9C8eXPs3LlT6S185swZXL9+Xempevr0aVX+PiZ2Pc8EKXUDTM7ExASlSpXC8uXLUaJEiVTT6jOvTEJCAp4/f46EhASsXLkSTZo0wbJly1L9TNI2Hj179sSmTZswZcoUVf3wgAED0LRpU4NnztXVBuj06dN49+6dqg1QSuLi4vD06VO4u7unGbQA/7uhxcXFYdWqVXB2djZ4crqoqCitHz9NQ2pDJ08EEmdYHz16tGpuquHDhyvtmfTh5uaGtWvXKj+UDx8+xPz581Xdmr///ntVg0UA+PnnnzFjxgy95vx68+aNVlfp1q1bw87OTjmf02Jvb49atWqhWbNmmDJlCsaNG6dqqzZ06FCMGzcOX375pVbDY100/88vv/xSaWB/7do1rdm879+/j+LFiysTdlaoUAFjx45FQEAAGjZsCGdnZ4wfPx6zZs3Chg0bcOfOnTSP5UMEBwdj+PDhaNGihTKL98mTJ7F+/XqMGjVK1f39zz//1GtSXSCxvVq+fPkwbNgw1fqxY8fiwYMHWLRoEUaMGIG1a9eiffv2OHToEI4fP464uDiUL18eVatWxfjx4+Hp6YkOHTqk2IUfgM5ZtTds2KDMfK0ZWDP5wHhpBbmGnkszZ87UGsxU/r/r88iRI3H9+nWDhlFIfi3pq3379jhy5AimTp2q3MtOnTqlDO6X1n3WUPpeH8+ePcP333+P8ePHw9nZWWs+uoiICLi7u+v1gBEaGoq+ffvi7NmzOt9/8OABQkJCsHz5csTFxeHKlSvKQIka9+7dUzV8LlKkCL777jutazYrMNjJBLpG000uISEBERERmDx5Mp4+fYojR45kyL4TEhIwYcIErFixQjVGiT5iYmIwYMAABAcHIy4uDiICS0tLdOvWDSEhIXr3GNOUFuk7S3NKLl68iLJlyyI+Pl6vyVATEhLw9OlTbNy4EU2bNsW8efP0yu+9e/fQvXt3HDp0SPWkLR8wuWhGEBFERERg7NixOH78uNYYQmlJLUBOabJFXVIbf0lDcz7PnTsXFy5cwM6dO1G5cmVVmiNHjqBr1664du2aXj8Omv/n0qVLUaZMGRw8eBCrVq1CjRo1VOn27duH1q1b4+nTpwCAlStXIi4uDh07dsTZs2dRp04d/PPPP7C0tERISAi++eYbvUpKgcTxkQYOHAgg5XFENDQ/yoZMdNqwYUO9JtUFEhvda8bgSer27dsoV64cXr16hevXr6NChQpKaUNcXBxOnz6NBQsW4Ndff0V8fDy+++47rFmzBvnz51fG9Uo+q3l67Nu3D4MGDUo1yDX0XHJwcMCuXbu07j0iAg8PD6xZs0arp5UuH3otvX37Fv3798eSJUsQGxsLEYGFhQUCAwMxefJkrf/bh9L3+ggMDIS3tzcqVKiA1atXw9HRERcvXlSufUOCnevXr6N8+fLKaP/JPXz4EEuXLkVISAhiYmJw/fp1rWDnU8ZgJ4vdvn0bpUqVUp5KM8L169dRqVIlvboM6poC4u3bt8rTr6b6y5AnF01pkb6zNKckabBjiMOHD6NFixYIDw/XK32lSpUgIujVqxdcXV21bqxJe0OlR0xMjM7ZjfWZTRxILLkoWrSoEogdOXIECxYswN27d7F+/XrkyZMHK1asQP78+ZUAQ0QQFhYGFxcXnQPZ/f7776hbty4sLCzSrAZIPihmaq5evYrixYvj8uXLWqWVly5dQsWKFfHu3Tu9twckVjV++eWXaNasGU6cOIFNmzYpVXO3b99G06ZNUaFCBfzyyy86P//27Vtcv34d+fLlUwbr1HcG7vv37yMiIgIuLi4plkp8SFCc1qzdSXtgubq6YvLkyVoD8S1fvhwDBgxAREQErl69iqpVq+LYsWM4dOiQskRHR6NKlSqoVq0aevXqhffv32PDhg1YunQpTp48iQYNGiAwMFBnFY7G/v37lQEVk5/LS5YsQYkSJRAcHJxqkGuIq1evws/PD1u3blWtNzU1Ra5cuVCwYME0S8OSyp49O/bt26dU66X28Ja0ej+pN2/eqO6N+gY5hlat68vU1BQFChTAvXv3ULJkSVy6dAlFixZVqr01JTBJz83kJWGakrIJEyYgLi4OR48eVd6Ljo5WqrGOHj2Kr776Cp06dUKdOnV0BvUvX77EH3/8ofMcSX7efmxss5PF8ufPj+PHj2foNn18fGBiYqLX01p8fLzBXQz1ZUgboIzUqFEjvHv3Tq/2UP/88w8uXryIs2fPKl1KU3PmzBmsW7dO5/gtSZ/CAeDWrVvo3Lmz1v/X0B9HLy8vREREAEjs1tyuXTu0adMG586dQ3R0NADg1atXGDdunDKkgYigUKFCuHLlis4xcBo3bozw8HC4uLik2mbK0B/xggULwsfHB3379sWKFSvg6uoKIPEJc8CAAUoVgCGKFSuG4cOHo2PHjqhTpw6KFi2qVKM8fPgQVapUwZQpU1L8vK2trVaVqb5jh4SGhirnUdLxjnQ5ceIEnj9/jq+++kpZt3z5cowYMQJv3rxB48aNMXv2bKWtWlxcHKpXr47atWvDzc0tzbz06NED33//Pc6ePau0iTh9+jR++eUXpSvv7t278fr1a/j5+aFatWqoVq0aBg0ahJIlS6p+YK2trdG2bVu0bdsW9+7dQ2BgIOrUqYNnz57pvG5GjRqF0aNHo3z58imO13Xnzh2t+byAxBIpzSjUhihYsKAySm9GmD59OooXL46IiAhs2rRJr5JqfdvWJL/2k8uINoq6jBgxArGxsTh79iz8/Px0Vj82bdpU9bp06dKpjraskXxk/9WrV6c4sj+QOCRBmzZtEBUVBUdHR9X3q5nTLSuxZMcIJS0qTmsQug4dOsDU1BSenp4oU6ZMiu2MYmNjsW3bNgD6F+d/aBug9JbsGFoKVb16dfz0009Ko8uUpDV5YvJxUCpVqgRzc3MMHjxY5w9EWtNo6FKmTBn06dMH7du3V9XPnz9/HnXr1lWVZhUvXhyLFy9W2o18LLdv38bXX3+NmzdvqsaCKlSoEDZv3qxzfBN9iQj27t2LixcvwsbGBqVKlcIXX3yBvn37YsyYMbCzs0tzMDhDBoAzRN26dZXgAgAuX76MsmXLomPHjihWrBgmT56M7777DiNHjlQ+Y2tri2vXruk9KNyvv/6KOXPmKJM7FilSBD169EDr1q0BJA6i5+fnhxs3bqBs2bJKwFO5cmWtRr9//fUXQkJCEBISgrdv36J9+/YYO3asztKS3LlzY9KkSVqTdCZVpUoVWFtbawW57du3x/v37/WqwkpJaoM0Zqa0St40DBkrLKslb2ahKSlLPqaVqakp8uXLl2ZJlCbQK1y4MOrVq4dx48bp1cD8Y2OwY+Rq1qyJb7/9VjUIHQCsWrUKCxcuxKFDhxAUFITVq1fD09MTnTp1Qtu2bbWe7pLOMZVWcf7t27eRP3/+VNsATZgwQWs23uSuX7+OVq1aZXqbmTt37uD7779H27ZttUYaBv434m7JkiXx3XffISgoSAk08ufPj++++w65c+fWaldkZ2eHs2fPZugN2dbWFlevXoWXl5cq2Ll79y58fHxUbY62bt2KSZMmYf78+Wk2gM9omqAkaYPnWrVq6d3uKyldJSbLli3DiBEj8PbtWzRu3Bg3btzAli1b4OzsrFdD8vQER7t27YK9vb1STTN37lwsWrQIPj4+mDt3Lnx8fLB161aUL18eQOJgfaGhoUq1wPr16zFixAhcvXpV2Xa1atXQu3fvDH3aBxKrEw4fPozQ0FCEhobi6tWrKF26NKpUqYIyZcpg8eLFOHLkCOrWrYvOnTujbt26qfbUypEjB/74449Ue/ZlVpCb0iCNp0+fxpo1a7RKLvSxY8cOmJmZISAgQLV+z549iI+PV3r2ZaYPrd7ObB07dtTretUEenZ2drh8+bKqd+unhMGOkbO1tcXFixe1qjJu3ryJ0qVLK+1mktbNHj9+XKuLYWhoqFJSkdYTWvXq1eHp6Ynq1aujevXqqFatmjJBqaYNEJB6rzXN+oxoIBwfH4/Nmzerur83bNhQubmfPHkSrVu3VhW169q/nZ2dQZMnVqhQAdOnT9dqw/AhvL29sXDhQtSqVUsV7CxfvhwTJkxQ/ZBmy5YNb9++RVxcHCwtLVVtd96/f5/mCKoaSXttZQVdJSblypVDhw4dUiwxSUv16tWxadOmNIMj4H/VV76+vpg4cSLq1auHy5cvo3z58ujXrx8OHjyIokWLYvXq1bh165byQ1+5cmXUrVtXGXH7/v378PX1VXVVXrduHYYMGYI+ffroHM7gQycDff78OQ4dOoQtW7Zg9erViIuLU3pjtWvXTmuCXI3kbfkGDRoEe3t7rZ5gyWVkkKtRoEABtGnTBqNHj1atHzFiBFauXJmu3nUlS5bEhAkTVKOGA4kB7aBBg3Dx4sV05zctN2/eRGBg4AdXb3+I0NBQTJkyRbkn+vj4KD3L0qtJkyZo2bKlXkOSZAUGO5ksLi4Ohw4dwp07d9C6dWs4ODjg8ePHcHR01Lsle3pnvQYSi7kbNWqkmuMIAAYOHIgtW7boLF3Rp4thapI2jDx16hRiYmLg7e2NGjVqoEaNGqhWrRpcXV316rUGqOd9uXv3rkFPDrdv30a9evXw6NEjpU3OjRs34OHhge3bt6NAgQLw8fFBsWLFMHDgQJ0NlDX7z5s3L3bu3AlfX1+ULFkSQ4YMQatWrXDixAnUqVMHr169Un3uwIEDSk+U1OYGe/nypdIlesCAAciePTvOnTsHV1dX5MmTR/WZ8ePHY+XKlViyZAm+/PJL7NixAw8ePECfPn0wbNgw9OjRQ0mbWnVe//799fqfanptxcbGwsbGBhcuXNCrlCitxqzJxcTE4N69eyhQoIBWNUru3LkNKjHRDLuQ0UXp9vb2+PPPP+Hl5YWRI0fizz//xIYNG3Du3DnUq1cPVlZWWLFiBapUqYKYmBg4Oztj69atynQply9fRtWqVVWNX3U18kwaaDs5OeHmzZvImTNnmt2RNdvduHGjcv1dvXoV2bNnR+XKlZVSpKT7SS6lH9xevXph+fLlKFmyJEqWLJnqTN0ZzdbWFpcuXdIqGbp16xZKlSqlPLCdPn0aCQkJyvhTGqdOnYKZmZly/gCJnSf0GcYgM6Sneju168NQK1euRKdOndCkSRPVVB2bNm1CSEiIUiVqqMWLF2P06NHo1KmTzvudIR0dMgMbKGeiBw8eoE6dOggLC0N0dDS+/PJLODg4YOLEiYiOjk5x8LrknJ2d9X4ySn6TMmQQOo2kJS4pPWWk1epeMzHg+/fvcfz4ceXmu2zZMsTGxqJo0aK4cuWKXseUVMGCBVG1alUEBgaiWbNmac6d1LNnTxQoUAAnT55UquaeP3+Otm3bomfPnti+fTv+r70zj6sxf///65z2TnsyLVpliYoSopmMtYSIGYbsyiD77mOQdWKUNSqiZQYzQxj7IEsxCKNmhmjRYk/KTFJU1++Pft3f7s6pzkmL8n4+Hufx6L7v93nf1326l+u+1vT0dPz222/VmtmdnZ1x9uxZ2NjYSNU8sSwGqKreYAkJCejTpw8XxOnt7Q0dHR1ERUUhIyMDERERvO8uXrwYJSUl6N27N/Lz8+Hs7AwlJSXMnz+fp+gA/BpKFalqmyQUFBRgYmIi1VunNMGsZeTn52PGjBmcYvbgwQNYWFhgxowZMDIywuLFi5GTk8PFgAClb6Xl3QydO3dGZmYmtzxnzhxMmTIF7u7uGD16NFxcXCS6aKQJzBcIBAgNDQVQ2lOt7MF67tw5LuBSR0cH//77L8aNG4fFixdj/fr1OHLkCFRVVXlvygkJCWJuoOoCpS9evMgF80tb52rKlClwdnbG5MmT0aNHD9jY2HDbahInBpTKXtZf7++//+bWP3r0CACkqqNy8eJFqfdXPuBX2iKNPj4+WLhwoZiy8/jxY6xfvx7Xr1/n1mlqaiI1NVVM7uTk5FpPI6/InTt3pHZvS3N9yMratWuxYcMGzJkzh1s3c+ZMBAQEYPXq1TVWdsp6DVa0wAGyJzrUCXVSl5lBRKU9l0aPHk2FhYW8dgEXLlwgS0tLqecp308qLCyM9PX1afHixVz5/cWLF5OBgQGFhYVJ/H5GRgYtWbKEK0f+v//9jzIyMnhjCgoKaN++fdSnTx9SVlamr776ik6cOEHFxcVi8/32229cPxZNTU3S0tLiPuXL5pensLCQoqOjacGCBaShocErSy4Lf/75J82cOZP09PRIU1OTJk+ezLUGkISqqiolJCSIrb9z5w7Xn2rgwIF08ODBavednZ3N9TUrLi6m77//ngYNGkRz587l9cwpQ5reYL179+baP5Q/R65cuUKmpqaVylJYWEj//PMPXb9+nf77779qZX/79i29fv2a95FESUmJxB5jRES7d+8mNze3asvG6+vrU0RERLUyERHNnDmTOnXqRDExMSQSibjjP3LkCHXs2JGISlsVlPXsKSwsJBUVFTp37hw3R0JCAu+8e//+PR07doxGjRpFIpGI9PT0aNq0aXTlyhXevmXt/TNo0CBycXGhVatWkYKCAj169IiISttVtGrVirKysuiLL74ggUBA6urqFBUVxdtfr1696H//+59Uv0tjwczMTKqPubk5jR8/nvuMGzeONDQ0yNjYmLsvmZiYkIaGBo0fP563j507d5Kenh75+Phwvfh8fHyoefPmtHPnTu4+qKyszJ0/5UlNTSU1NTXeusmTJ5ONjQ2vnUpSUhLZ2trSpEmT6ubH+v84ODhQTEyMVGOluT6IiMLDw6mgoEDs+4WFhRQeHs5bp6ioKLGdSVJSEikpKclyKI0KpuzUITo6OpSYmEhE/AfZw4cPa9wMrVevXrRv3z6x9T/99FON+8RMnTqVtLW1ydbWljZv3kxZWVlVjm/VqhXNmjWL3rx5U+mYwsJCunTpEvn6+tKXX35JKioq1Lp1a/Ly8qKIiAhKT0+vkaxlvH//ng4dOkSDBg0iBQUFat++Pfn7+9OLFy9447S1tcUeckREsbGx3AMyODiYjI2NacWKFXTw4EGJvZwePnxIISEhtH37dvrrr78+SPbyaGhocDfc8udIWloa78YzYcIEqT7lycvLIx8fH9LT0+P1vqnYA4eo9GZpbW1NSkpKpKSkRDY2NmIKS8eOHUlNTY2UlJSodevWlfYw09HRkaonF1GpIvPHH3+IHX9SUhLXYHLKlCnUrVs3unz5Ms2dO5d0dXV5fbx+/PFHcnBwkDj/mzdv6McffyQ3NzdSVFTkNeKUtfdPeno6DRgwgGxtbWn37t3c+tmzZ/MaO+bm5lJRUZHY97Ozs3lyl+eff/6hU6dOiZ17FRXUqj6SkFbJrYyKfZskfYYOHSrTnERECxcuJC8vL97vVFRURJMnT6b58+fzxlbVu6z8B4DEBqhXrlwR69+Vm5tLjo6OJC8vzylkcnJy1LNnT8rJyZH5eGTh/Pnz1K1bN7pw4QK9fPmyyv+PNNcHEZFQKOR6vZXn5cuXYtd6y5YtKSgoSGzszp07ZXoJL6N///6Um5vLLX///fe83/Dly5dkZWUl87y1DYvZqUO0tbVx5coVtGvXjhdMGhsbi2HDhnG1U2RB2oDj8lRXhE7WFMPqou579eqF69evw9zcHD169MAXX3yBHj16wMDAQObjrY7CwkLs2LEDS5Yswbt376CoqIjhw4dj/fr1MDAwwNixY3H79m2Ehobyyrx7e3ujU6dOCAsLq7LirUAgwLlz5zBw4ECuGJ68vDz27NmD0aNHSyVjfn6+xLo8tra2aN68Oc6cOQM7OzveOXL27FlMnDiRc89IUx4AAA4fPsz97ePjgwsXLmD16tUYM2YMAgMD8fjxYwQHB8PPzw+enp4ASuMtli1bhunTp3M+/NjYWAQGBmLNmjWcuVva1hvSBrMCpefz33//DQsLC97xx8fHw9nZGa9fv8bLly8xdOhQxMbGQk1NDeHh4fDw8ODm6N27NxwdHXl9fcrz8uVLHDhwAEFBQbh37x7PnF5dYH5dk5qaCg8PD/z111+8YP2yfdP/d3lWBVWIs3nz5g0WLVqEX375BdnZ2WLjZXEn1CT1+uXLlwBQZU0WPT09xMbGitW2un//Prp37y5R7uoYOXIknj59iqNHj0JTUxNAqbt9yJAhaN68OX755RfeeKqkjEFdU3a/kVQVuqK7R5rro2zO58+fQ09PjzdnfHw8evbsyYsT27lzJ2bPno2JEyfySoKEhYVhy5Yt+Pbbb2U6nvKZukBpLOKdO3dq1LKiTmk4PavpM3z4cPL29iaiUq08NTWV/vvvP+rVq5eYqVZaZOl6TUR08OBBUlFRIS8vL1JSUuLeDLZt20b9+/cnIqJx48bxTMyVfcrw8PCossO5vLw8GRsb04wZM+jQoUP08uXLGh1rVcTFxXEWqRYtWtDSpUspNTWVLl++TL1796bOnTsTEVFOTg4NHjyYhEIhKSoqcl2rhwwZwnsbqQonJycaPHgwPXnyhF69ekXTpk2TqtPxixcvaMCAARKtKmVvW5MmTaIhQ4bQu3fvuHMkPT2d7OzsaNasWdxcslohiIiMjY3pwoULRFTa/bvMdB0REcH974lKXREVTd1ERGFhYWRmZlbtfioyc+ZM0tLSImdnZ5o+fTrNmTOH9ynPF198QVu3biWi/7tGiIimT59OLi4uvLGyWEzKLDr9+/cnRUVFatmyJX333Xd07969SuVOS0sjX19fsrCwIBMTEzH3YHp6epWfmjBw4EAaPHgwZWVlkZqaGt29e5diYmKoS5cudPny5WpdoRXdokSl54qVlRV37e/Zs4dWr15NLVq0oB9//LFGclZHTk4OTZs2jXR1dbnzW1dXl3x8fCRaSrS0tOjIkSNi648cOVLjLuqPHj0iCwsL0tTUpC+//JK+/PJL0tLSojZt2nBu+6tXr9KxY8d43wsLCyNTU1PS09Mjb29vie6g2qSq/+G2bdt4Y6u7Pjp27Eh2dnYkFArJxsaGZ2m1tbUldXV1+vrrr8VkiIqKIicnJ9LR0SEdHR1ycnKS+P+QBoFAwLMqlbdAERE9e/asxmELtQlTduqQzMxMateuHVlZWZG8vDw5OjqSrq4utWnTRqLJURpOnDhBysrKZG1tTZMmTaJJkyaRjY0NKSsr04kTJ8TGd+zYkXuQlT8Jb9++TZ999pnU+y1vWt+9ezeZmJhU6vbJy8ujU6dO0aJFi6hLly6kqKhI1tbW5OPjQ7/++quYq4mo1C119uxZCgoKon///ZeIiB4/fiz2wPH39ydra2tSUFCgwYMH07Fjx8TiijIzM0koFJKfnx91796dHBwcaOjQoXT06FH67bffJPqrq0JTU5P++ecfbvnNmzckJydXrRI3atQocnJyori4OBKJRPT7779TZGQktWnTho4fP05EpQ/wPn36kJaWFsnJyZGxsTEpKCiQs7Mz5eXl8eYrH1elqqpKX3/9NZ0+fbrSGBuRSMQ9hI2MjLjYptTUVC5eiYhISUlJ4m/y4MGDGvnwyx40kj49e/bkjY2JiSE1NTWaMmUKKSsr06xZs6hv374kEono5s2bMu+biGjEiBFcrI6Pjw/PtVGVCzIjI4NWrlxJ5ubmZGRkJHbuCQSCShXXmt7MdXV1KT4+nohKXZplbu/z58/zYjJkQVolt7bIzs6m1q1bk0gkosmTJ9OmTZto06ZN5O3tTSKRiNq2bSsW0zZnzhzS1dUlf39/iomJoZiYGNq4cSM1a9ZMTCEmIrpx4watX7+e5s2bV6XynJeXR8HBwTRt2jSaN28ehYeH07t377jtrq6u5Ofnxy0nJCSQgoICeXl5kb+/P+nr69OKFStq9weqhn///ZeCg4Opc+fOYudRddeHr68v+fr6kkAgoPnz53PLvr6+tG7dOtq3b1+lrtPagik7DCIqfYhHRkbSggULaOrUqbRr1y7Kz8//oDkzMzOrDTguQ0VFhR4+fEhE/JMwJSVFpgeZtH5zSSf1v//+SydPnqQFCxZQ586dSVFRkdq3b89tT0tLo7Zt25KqqirJyclxMs6cOZO+/fZb3lyWlpa0bt06evLkSaWyFhYWkoeHBwmFQurXrx8NHjyYlJWVxWJaynPx4kUaOHAgtWzZklq2bEmDBg2iy5cvc8deUTmteEFLQl9fn1Mw1NXV6f79+0RUqjg6OTnxxsbGxlJgYCCtX7+ezp49W+W8RNVbIYiIbGxseIHQ8+bNIyKiLVu2kJGRETeuffv2tHbtWrHvr169mqytrbnloqIi+uGHH6hz58702Wefkba2Nu9TU5KTk8nLy4s6d+5MVlZW5OnpKTGoXFpGjRpFJ06c4KxAZQ+TLl26iJ2fsgTm37lzh/eJi4ujkJAQatu2LR06dKhGsmppaXFv6xYWFhQdHU1Epb+JpLi+y5cvk6enJ3Xr1o0LkI6IiOAFvEqr5JaRmZlJmZmZNZKfiGjWrFlkbW1Nz549E9v29OlTsrGxodmzZ/PWFxcX0/r168nQ0JC7dxgaGtL69evFrHdr164lgUBAbdu2pR49elSpPFeHvr4+xcXFccv/+9//eNfiL7/8Um/xJZcuXaKxY8eSSCSiVq1a0aJFi+jGjRti46S5PsLCwujt27cy7b+wsJAyMzM/2EIpFAp5L7DlLVBETNlh1BPm5ubcw7P8Azo8PLzeLuri4mK6du0aff/999SvXz9SVVXlnfy1lbVWHktLS14Q3tmzZ0lRUVHiQywyMpLk5eVp+PDhtGXLFtqyZQsNHz6cFBQU6KeffiKBQEARERE865WqqiqFhISIBTKXR11dnVM0TUxMKDY2lohKHzo1DVAvoyorREpKChUXF1NAQABt2bKFO35lZWVSUlIioVBImzdv5sYfPHiQ5OTkuEyjVatWkYuLC8nLy/MyipYtW0YGBga0ceNGUlZWptWrV9OkSZNIV1eX28/HRHUPE1kD8yvj+PHjNU4O+Pzzz+nw4cNERDRy5EhydXWl2NhYGjt2LO+FgEg6lzRR1UquoaEhEZVekytXruQyI4VCIWlqatKqVaskXiNVYWpqSqdPn650+6lTp6rMLKwucLp58+a0d+9eiduOHj3KWW4qWpglJRooKSnxXgydnJxozZo13PLDhw/FMrdqk6dPn9L3339PlpaW1Lx5c5o+fTrJy8vzLMcfgjQKzIMHD+jzzz8Xs0xW9rJaHQKBgNzc3LiXb3l5eerXrx+37ObmxpSdpkh1F1xVD0dpycnJoY0bN3JurICAgErjT9atW0ft2rWja9eukbq6OsXExNCPP/5IzZo143zB0nL+/HmysrKSeGPKzc2ldu3a0eXLl6m4uJiuX79O69evJ1dXV1JXVyehUEjGxsY0duxY2rt3L6WlpXHflSVrrSyFtaJfPSsri8zNzbllRUVFMWuXkpKSxDfYtm3bUkBAgNh6f39/atu2bY0tWg4ODtxDYNCgQTRmzBh69OgRLVy4kMsKmjFjhkRFYdu2bbyYHSLprRAVMzOGDx9Oz549o7S0NDp06BDnNinPzZs3ydPTk+zt7cne3p48PT3p9u3bvDEWFhac+01NTY3LuNqyZQuNHDmSNzYuLo4WLFhAI0aMEMveKc+JEyckPihPnz5NJ0+eFFtfHbI8TAQCAZmamtKQIUOqzDaqjqSkJFJVVZVZVqLS4yyzCj148IDatGlDAoGAmjVrxkuvJ5LeJS2Nkrt48WLS09OjHTt2UHx8PMXHx1NgYCDp6enJnB6vqKhYpWUoMzPzg1Ka9fX16cGDBxK3lbe6SnN9ylrGoDYZOHAgaWho0MiRI+n48eOcBasqZUfaLCtZFJju3buTs7MznTx5kv78808xi6WsSBPvWdMY1dqEKTu1jKSLTNK6mmq6cXFxpKOjQ0ZGRtzNuEWLFqSrq0u3bt0SG19SUkJr1qwhkUjE7V9ZWZmWLVsmsztt0KBBEpWCMrZs2UJDhgzhlBtDQ0Py9PSk3bt3V5mKrKWlxV3s5W/iMTEx1Lx5c95YgUBArVq1os6dO9PTp0+59RVNpRVNq2VzlzevllFXdSciIyO5N9KbN29Ss2bNSCgUkrKyMh04cICIiAwNDSXGpty6dYvnapLFClGdD70MWVOaVVVVubdEfX197nxLSUkhDQ0Nbtz+/ftJQUGBBg4cSIqKijRw4EBq3bo1aWpqit30bGxsJMaanTp1imxtbSs9RkmUPUy++eYbqR4msgbmV/xdcnNz6d69ezRixAjq0KGDTLJWRXZ2tsQ4rJq6pMuU3EuXLnEJEwYGBhJfuI4cOcJZf6TF0NCwyroxly9fFgvof/bsGY0ePZoMDAxITk6uyvin9evXiyn+NeVDyhh8KHJycjRnzhwxxa0qZUeSC52oNJ5RWVmZW5ZFgVFVVa0yUL+pwioo1zLlqwmfO3cOixYtwrp163gdx8taCNSEOXPmwN3dHbt27eLKhhcVFcHLywuzZ8/G5cuXeeMFAgGWLl2KBQsWIDk5GXl5eWjXrh2Cg4Nhbm7O65JdHfHx8Vi/fn2l2/v164eNGzfihx9+QM+ePdG6dWup5u3Xrx82b96MkJAQTua8vDysWLFCrHeNQCDA6dOnMX/+fHTq1AlHjhxB586dxeYkIowfPx5KSkrcuoKCAkyZMoVXITUqKgrGxsY4f/68WIXWc+fOcX2OakL51PROnTohPT0diYmJMDEx4dJys7OzuTTZ8mhoaHApvAAQFBQEExMTWFhYcM0dJVG+8mx1SFuZuyxltEWLFnj69ClMTEzQsmVL/P7777C3t0dcXBzvd163bh02bdrENUzdsmULr2FqeZKSktCuXTuxfbZt2xbJyclSHwsAnDp1CjNnzsTUqVPFSjNIIiwsTKb5Jf1eRARjY2McOHBAprmkqd4M8Ftr6OvrIzk5Wazqb2xsbJUtVExNTWFqaor4+HiEhoYiJCQEr169kljBt23btrw0ZWlwcXHB0qVLcfbsWSgqKvK2FRYWYtmyZXB1deWtHz9+PDIyMrBs2bJqq2zPnz8fAwYM4Fq7VGxDIMs5v3r1agwdOhQ9evTgyhiUl3nPnj3o16+f1PPJQmxsLEJDQ9GpUydYWVlhzJgx+OabbySO3bp1K4DS+93u3bt5rV2Ki4tx+fJl3v9PlqrM7dq1491bPhWYslOHzJ49G0FBQbxGkC4uLlBVVcXkyZO5JmyycPPmTZ6iA5TWfVm4cCGv90thYSF8fX1x9uxZKCkpYcGCBRgyZAj27t0LDw8PyMnJ8cqFS8Pz58/FbjTlkZeXR1ZWlsx1Gvz9/eHi4sJ17R41ahSSkpLQrFkz7N+/nzeWiKCmpoaoqCgsWbIEPXr0QEhICPr27csbJ6kdQmV1cebNm4eZM2fizp07EutO1Baqqqqwt7fnrbO0tMTp06cxffp03vpTp07xHmBjx46Vuu6LQCAQGyvpu2UNLoHS39XNzQ27d+8W68dVhoeHB86fP4+uXbtixowZGD16NEJDQ5GRkcE7l1JSUjBgwAAApS0W3rx5A4FAgDlz5qBXr168ej21WbZflodJTYiOjub9jkKhEHp6erC0tJS5X1FYWJhUdZPK4+3tjVmzZmHPnj0QCAR48uQJ/vjjD8ybNw/Lly+Xao6yfXXo0AHbt2/nHqplbN++XeaWEmWtQVq1agUfHx+0bdsWRIR79+5hx44dKCwsRGRkJO87sbGxiImJ4VpQVMXMmTNx4cIF9OzZE7q6ulVeB9X1ZGvWrBkuX76M169fQ01NTayNyK+//ipTH0BZcHR0hKOjIzZv3oyff/4Ze/bswdy5c1FSUoKzZ8/C2NiYaw2yadMmAKX/r6CgIJ6cioqKMDMz47Ubqk6BKd9fcf369Vi4cGG1PfuaHA1nVGr6KCsrS0x1jY+P55kgZaF58+Z05swZsfWnT5/muXwWLlxImpqaNGzYMDIwMCB5eXny9vYmGxsb2r9/v8R6JdVhYWHBBVNK4tChQ7y4GVmQNmutog87MjKSy7T6kCC42qo7UTEttqoPEVFoaCipqKjQ8uXLuVoby5Yt4wKga0J1AYOVxaJIk2FWnqtXr5K/vz/99ttvvPVGRkZctoiNjQ1X8fvq1as8dxdR3ZTtz8vLo9DQUHJyciIFBQUuVqWspEFNKV9qICMjg5YtW0bz58/nsvZkoSZ1kz7UJX3nzh0CQD/99BNdunSJRCIRWVlZ0cSJE2nixIlkZWVFampqNTqe1NRUcnV15bnthUIhubi4SHQRW1lZicWEVYaamhoXK1YVvr6+JBQKqUuXLjR48OBK2358TCQmJtKCBQtIX1+flJWVadCgQbztX375pcRWNER8t2p1VZkrlk2QVEahpgHKjQVWQbkOcXZ2hrKyMiIjI7lGhs+fP8fYsWNRUFBQqSuiKmbOnInDhw9j48aNPCvEggULMGzYMK5ZoIWFBTZv3gx3d3f8/fffsLW1xfjx4xEaGlrjyrAzZszAxYsXERcXJ9aA8+3bt+jSpQt69uwp9rZYmwiFQjx79oyr1gmUugY9PDyQlZVV61U6b968ybOYVUfPnj2lGicQCBAdHQ2gtKLp2rVr8eTJEwDgumqXNZqUlZpUvQXAq9D6IYwaNQoODg6YO3cuVq9ejW3btmHw4ME4e/Ys7O3teW6H169fw9XVFTdv3kSLFi0AlDaX/OKLLxAVFQUtLa0PkuX+/fsIDQ1FZGQkcnNz0bdvX/z2228yzfHXX39h0KBByMzMRKtWrXDgwAG4urrizZs3EAqFePPmDQ4ePIghQ4bING9Nqze/e/dOzCX9ww8/VOuSjo+Ph52dHUQiEVxdXREQEIDg4GDOwmxlZYVp06bB0NBQpuMoT05ODpKSkgCUWi3Lmu9W5Pfff4e/vz+Cg4OrbSJqamqKM2fOVOuiMTAwwIYNGzBmzJgayd6QFBcX49ixY9izZ4/U52dZw+YySEK17bJ1ZfcaaejRo4fUYxsTTNmpQ5KTk+Hh4YEHDx5wsR9lN8wjR45U22VbEu/evcOCBQsQFBSEoqIiAKUdqadOnQo/Pz8udkJRUREPHz7kXBIqKiq4ceMGrwOyrDx//hz29vaQk5PD9OnTuVLviYmJCAwMRHFxMW7fvs3rUC0tSUlJuHDhgkTzszQm+ufPnyMxMbFGF2peXh7k5OSgoqLCrbtz5w6WLVuGkydP1luZ86ysLKioqNSZGb06qlN2srOzoaurC6D0PN61axfevn0Ld3d3Xpn9V69eoaCgAIaGhigpKcGGDRtw9epVtGrVCt999x20tbV581KFsv22trZwdnau1WOrycOkjP79+0NeXh6LFy9GZGQkjh8/DhcXF+zatQtA6UvArVu3cO3atRrLl56ejrCwMERERKCoqAj//PMPdx5U5ZL+7rvvICcnBx8fH15Xb0nk5ubi0qVLSE5OxqRJk3D37l2EhITA3d29xnLXFG1tbeTn56OoqAiqqqpirpTycUN79+7F6dOnsXfvXqiqqlY6p66uLm7cuCHWWb6x8+jRI/z2229iLWcePXoEHx8fqebo0aMHVq1ahfnz51f5GzZlmLJTx5TdyBMTEwGUvj316dPng/vu5OfnIyUlBQDQsmVLsRNYTk4Oz54943qlqKurIyEhAebm5h+03/T0dEydOhVnzpzh9fFxcXFBYGBgjebftWsXpk6dimbNmkFfX5/32wgEAty+ffuDZK6MzMxMDB8+HDdu3OAUuDVr1mDKlCn4+eef4eHhgTlz5qBr1651sv+PjcrOkbqybDQWmjVrhujoaNja2iIvLw8aGhqIi4tDp06dAJQq+46OjsjNza3xPjIzM7F3716EhYXh3bt3SExM5JSdRYsWITg4GH369MHVq1eRlZWFCRMm4Nq1a/jf//6Hr7/+GnJycjJb9LZv3445c+bAyspKLOaorq65MsLDw6vcXj7mzs7ODikpKSAimJmZiSlGZbLK0pOtsXD+/Hm4u7vDwsICiYmJsLa2RlpaGogI9vb2MllsKvaw+tRgAcp1jEAgQL9+/Wo9wl9VVZV7Q5akqVOFbCRJmUiAbJkMQKlJ+eTJk8jJyUFycjKICK1atRJ7W5eFNWvWYO3atVi0aJFU4w8ePIhffvlFYnNNWW7SCxYsQEFBAbZs2YKoqChs2bIFMTEx6Nq1K1JSUji3ijSYm5ujV69eePr0qZiLryLR0dH4/PPPcfz48Wqbr9blQ2fo0KG85crOkbdv38LGxgY//fQTIiMjMXDgQAwYMIBn2fDz85Na2dm6dSsmT54MZWXlal2eM2fOlP6A6ohXr15BX18fAKCmpgaRSMQ737W1tfHff//JPG95N1ZsbCwGDhyI7du3w9XVldec9tdff0VERATPJV1UVIT4+HjeuVPRLVkV6enpiIqKgra2NgYPHixzgPWHIimBoDKkPa8KCgoQEhKCc+fOwdbWVkwpCggIkEXEj4IlS5Zg/vz5WLlyJdTV1XHo0CE0b94cnp6evAy3hIQEid8XCARQVlaGiYmJ1IHwTRVm2aljqssOkJWSkhKsWbMG/v7+yMvLA1D6Rj5v3jwsXbqUu0nWNG6jIajYJbcqtm7diqVLl2L8+PEICQnBhAkTkJKSgri4OPj4+FTa+VoShoaGiIqKgqOjI168eAF9fX0EBARg9uzZMh+Dr68v0tLScOjQIXz11VdVjr1z5w6sra0RGRkpdSfxukDac+TYsWO1atkwNzfHzZs3oaurW6UlUCAQIDU1Vao565KKHaUrWsBq0tV52rRpOHDgAIyNjTFx4kR4enpW2iW8tl3Su3btwrx589CnTx8EBweLdcquK/79918u06d8dpAkapIRVFW8nKxxKx8L6urquHPnDlq2bAltbW3Exsaiffv2iI+Px+DBg5GWlgZAPH6nIgoKCigsLERGRsYHldNozDBlpw5ZuXIll5YpqZbE4cOHZZ5zyZIlCA0NxcqVK+Hk5ASgNI3T19cX3t7eMj3sPxYmTZqEzp07Y8qUKdWObdu2LVasWIGRI0fyYkyWL1+OV69eYfv27VLvV05ODk+ePOFijNTU1HDr1i0uFolRSsWg8IqxPbI+7F+/fi2xttDHilAoRP/+/Tkr6bFjx9CrVy/OAlZYWIjTp0/LpOwIhUKYmJhUa9mLioqqVZe0q6srbty4gc2bN9c4AL6mlHejVPZwLguolfRb3rp1iwumbt++Pezs7Opc5oZGX18fFy5cgJWVFdq1awc/Pz+4u7sjPj4eTk5O3Avv0aNHsWjRIixYsABdunQBANy4cQP+/v5YsWIFioqKMHr0aCgpKVUbsyNrnaXGAnNj1SFBQUEICwur1eyA8PBw7N69mxdUaGtrCyMjI0ybNq1RKjuWlpZYtmwZrl27JrHuQ3lXRkZGBpeFpqKiwrkPxowZA0dHR5mUHQA8d4FQKBQrilaeslofslBUVISLFy8iJSUFo0aNgrq6Op48eQINDY0GC0SuCdLU7ZEWHR0d7qHXq1evWsm6qksqulwk1WuSVXGQpW5Sbbqki4uLkZCQIJOLtraIjo7msrPK13iqjhcvXuCbb77BxYsXufMkNzcXPXv2xIEDB+rNMtUQODo6IjY2FlZWVnBzc8O8efPw119/cRbpMtauXYstW7bAxcWFW2djY4MWLVpg2bJluHHjBsaMGQM1NTX4+/s3xKE0OMyyU4fURXaAsrIyEhISxKoT379/Hx07dsTbt29rbV/1hSyuDAsLCxw6dAh2dnZwcHCAt7c3vv32W/z+++/45ptvZHorEQqF0NTU5B46ubm50NDQ4ClAwP+96SgpKaFFixaYMGECxo0bV605OD09Ha6ursjIyEBhYSEePHgACwsLLqZHmqyIj+Etq7YtG5qamrh27RqsrKzEXEQMcRqTS7ouGDFiBFJTUxEREQErKysAwN27dzFu3DhYWlpyhUffvHkDPz+/SsMGPgaXqKykpqYiLy8Ptra2ePPmDebNm8dlNgYEBMDU1BRA6Yvfn3/+KZaen5iYCDs7O7x9+xZCoRBKSkqN8hlRGzBlpw6pi+yArl27omvXrmKBnTNmzEBcXNwHpb82Bry8vGBsbIwVK1YgMDAQCxYsgJOTE27evImhQ4ciNDRU6rmqywgpo+zN/uXLl4iMjER4eDj++ecf9OrVC5MmTcKQIUMkWoSGDBkCdXV1hIaGQldXl3P9LF68GHv37sWGDRuk3ndDIuvDtrqHjp2dHa5cuQIrKytcunQJ3bt3r9Si1hjjLBiSqSyIVhK2trbc35qamjh37pxYW5gbN26gX79+XKzYyJEjcenSJYwZM0Zi2MCsWbNqLvxHjp2dHTp06ICQkBDuWnr//j28vb0RHx+PP//8E3JycjAyMkJGRkYDS9swMGWnDpk1axYiIiJga2tba9kBly5dwoABA2BiYsLrt5WZmYmTJ0/y6p00NsrKnVcWqAmUBmiXlJRw2SMHDhzg3nS+/fbbKt1Qtcnt27exd+9e7q1y1KhRmDRpEq/Uvq6uLq5evYo2bdrw4lzS0tLQrl075Ofn14us9U11D53JkycjPDwcKSkp8Pf3h7e3d6VWrrKy+YzGT1mcTnWPnIoxO+rq6hJbS/z555/o0aMHF+yspaWFEydOcLGMTQELCwvExcVx9a3KyM3Nhb29PWetunr1Ktzd3SEUCjlF8a+//kJxcTGOHz8OR0dHCIVCLFu2rNqkiKYKU3bqkLrKDnjy5AkCAwN5tXs+tPJpQ5Gbm4ulS5fi559/Rk5ODoDSVN5vvvkGa9as4cVyFBUVYd26dZg4cWKDxBxU5MmTJwgJCYGfnx/k5eVRUFCAbt26ISgoCO3bt4e2tjauXLmCdu3a8ZSd2NhYDBs2DM+fPwdQGkdx5MgRXvClu7u7WN+exkJ1D53yWTk9e/bE4cOHP+qYHUbtkJ6eLvXYMvcMAAwePBi5ubnYv38/d497/PgxPD09oa2tzSV6mJub4+TJk5yrqykgqWI8UJoUYGJigsLCQm7df//9h59++gkPHjwAALRp04aLE2QwZafRkJqaCnNz8w8uRvgx8erVK3Tr1o27cZX3x+/btw/Gxsa4evUqr6aJmpoa/v7772pLzNcV79+/x9GjR7Fnzx6cPXsWDg4OmDRpEkaOHImsrCx89913uH37Nu7evYsRI0ZAU1MTISEhXAaNnp4eBg8eDBMTE+zduxfJyclwc3PD48ePuSyw+/fvw9jYGCdOnGiU1WCre+iUz8ppDAHKjIYlMzMT7u7u+Oeff3iV6K2trfHbb79xLz4//vgjjh49ivDw8EZfJbisyveQIUMQHh7Oy14sLi7G+fPncfbsWdy/f7+hRGx0MGWnnnj06BEA1NgiUbH65YgRI7B169YatWb4WJg9ezbOnz+Pc+fOiR3Hs2fP0K9fP/Tu3Zvnyhg8eDCGDh3aILEsM2bMwP79+0FEGDNmDLy8vGBtbc0b8+zZM65NwqNHj+Di4gIiQlJSEhwcHLhu7pcvX0bz5s3h5uYGIsJPP/3EZapkZ2dj9OjREAqFOHHiRL0f54dS3UOnfIByxbRqxqeBtK1HyiAinDt3TqwSfcXU/bJCp1VVWm4MlCVJSHL7KSgowMzMDMOHD8fy5cuhoKBQbQuUhmgJ8rHBlJ06RNoCgNJQXa2TxoiZmRmCg4N56ZLlOX36NKZMmcIVzgJK0/lXrlwJT09PdOrUSSz9ti4v6t69e8PLywtDhw7lMpMqUlRUhCtXrnA9uoqKivDzzz8jPj4eeXl5sLe3h6enJ9eHSyQScSn35alYR6MxUV15f3Nzcxag/IkiS+uR6OhoTJ8+HdeuXRMrMvj69Wt0794dXbt25bm8qqIuC3TWFebm5oiLi5MYx1j+mVDVs6SyukWfGqzOTh2ydOlShIaGws/PT6wAYEFBQaOsiVObPH36FO3bt690u7W1tVgn52nTpgGQHNxdFxd1SkoK50o6f/58tePl5eV5zUjl5eXh6ekJT09PieOVlJQkthrIy8urt2Dr2qa68v4LFy7kApQvXbqE9u3bN3q3A0M6Fi5cKHXrkc2bN8Pb21tiNWVNTU18++23uHDhQo0q0TcWHj58WOm28lmOFTMeGRIgRp1hYGBAR48eFVt/5MgRMjQ0lGkuoVBIL1684JbV1NQoNTX1g2VsSAwNDSkmJqbS7ZcvXyYDA4N6k0ddXZ3c3Nzo4MGDREQUGxtLGhoadPToUak+FVm3bh2FhoaKrQ8NDSU/Pz8iIhozZgy1b9+erl27RiUlJVRSUkJ//PEHWVtb07hx4+r0eD8GvvzyS8rJyWloMRj1hK6uLsXHxxMR0X///UcCgYBu3rzJbb937x5pamoSEZGJiQndvXu30rnu3btHxsbG3LK5uTm9fPlSbFxOTg6Zm5vX0hHUD1evXqVjx47x1oWHh5OZmRnp6emRt7c3FRQUVDtPZmYmeXt7i61PTEwkHx8f6tWrF/Xq1Yt8fHwoMTGx1uT/GGHKTh2ipKRE9+/fF1ufmJhIysrKMs0lEAjIzc2NPDw8yMPDg+Tl5alfv37cctmnMTFhwgRydnamwsJCsW0FBQXUo0cPmjBhQr3Jc/DgQfL19SUzMzOys7MjFRUVAkACgaDaj1AoFJvP1NSUrly5Irb+2rVrZGZmRkSlN2J3d3cSCASkqKhIioqKJBQKaciQIZSbm1vnx1xX5OTk0K5du2jx4sWUnZ1NRES3bt2iR48eSRyflZVFWVlZ9SkiowEQCAT0/PlzbllNTY1SUlK45WfPnnHXkpKSEiUlJVU6V1JSEu8+WnHu8nMqKCjUhvj1hqurK/dCRESUkJBA8vLy5OXlRf7+/qSvr08rVqyodp47d+6I3ZsOHjxI8vLy5OjoSHPmzKE5c+ZQt27dSF5ennvRa4owN1Yd0qFDB2zfvl2sAOD27dt59VikQZqS9Y2Nsr5hrVq1go+PD9q2bQsiwr1797Bjxw4UFhYiMjISAKTy3+/cuRPOzs5S7z87OxtExPnDhw0bhmHDhqFFixaYPHkyRCIRHj9+XOOU/mfPnsHAwEBsvZ6eHp4+fQqgNE376NGjSE5O5lLPraysYGlpWaN9fgwkJCSgT58+0NTURFpaGry9vaGjo4OoqChkZGQgIiICgGxlBxhNB2lbjxgZGeHvv/+u9FpISEiAgYEBLzj3zJkzEjOXatJHrCG5c+cOVq9ezS0fOHAAXbt25dx9ZYVVfX19ZZ574cKFWLJkCVatWsVbv2LFCixcuBDDhg37INk/Whpa22rKXLx4kUQiEVlZWdHEiRNp4sSJZGVlRWpqanT58uWGFu+jIDU1lVxdXUkoFPKsJC4uLry3ukGDBlFAQECl82zZsoWGDBki077d3NwoPDyct+748eOkoqJC4eHhNGXKFJo0aZJsB1QOS0tLioyMFFsfERFBZmZm5OfnR927dycHBwdatGgR5efn13hfHxO9e/emBQsWEBH/zf3KlStkampKRETZ2dnUunVrEolENHnyZNq0aRNt2rSJvL29SSQSUdu2benVq1cNdQiMOqI6C7WbmxtniZg+fTpZW1vT27dvxebJz88na2trmjFjBu++UdHiqqioSK1btxZzCX3sKCkpUUZGBrfs5OREa9as4ZYfPnxIampq1c4jybKjoqIi0WL24MEDUlFR+QCpP25YNlYd05QKANYlOTk5SEpKAlDaGLQsDbsMU1NTnD59utLaLYmJiejXr59MpdB1dXVx7do1tGrVCkBp8PigQYMQGhqKoUOH4vr16+jbty9evHgBZWVlMQtdRco3LAWADRs2YMOGDfjhhx/Qq1cvAKVBzgsXLoSdnR2io6PRp08fqKio4MyZMxg5cmSTCLbU1NTE7du30bJlS17WYHp6Otq0aYOCgoIalR1gNH5kaT3y/Plz2NvbQ05ODtOnT+fqUCUmJiIwMBDFxcW4ffs2d/5UlbnU2DA1NUVkZCScnZ3x7t07aGlp4dixY+jduzeA0qy2Hj16VNs7Lz4+Hvb29rzEDTc3N3z99ddi/4u9e/fiwIEDOHPmTO0f0EcAU3YYjQJlZeUqTdrJycmwsbGRqcmdpqYmYmJiYGtriz///BMDBw5EaGgoXF1dAZQW97OyskJWVhZ0dXVlalgKlNYGWbx4MbZu3Yp3795xx7Fo0SJERkZi/vz5+PbbbwEA586dw4ABA7iGfY2Z5s2b48yZM7Czs+MpO2fPnsXEiRORmZlZo7IDjE+P9PR0TJ06FWfOnOHqzQgEAri4uCAwMLDRuaekZerUqYiPj8f69etx5MgRhIeH48mTJ1yG5k8//YTNmzdX24w4NzcXly5d4ik7QUFBWL58OYYPH851Tr927Rp+/fVXrFy5kvci3pTq8zBlp5apabM7RtW0bNkS/v7+laY1R0VFYf78+TJ1NnZxccGrV6/g4uKCHTt24LvvvsPcuXO57atWrcLx48dx48aND5I9Ly8P9+7dg4qKClq1agUlJSUoKSkhOTmZd7NSVlZGcnLyR9EK40Pw8vJCdnY2fvnlF+jo6CAhIQFycnIYMmQInJ2dsXnzZigpKSElJaXSY3306BEsLS1RUFBQz9IzPkZycnK4goGtWrXiVVV3c3PD/v37uVgdPz8/TJkyhYv5ys7OxhdffIG7d+82hOg14uXLlxg6dChiY2OhpqaG8PBweHh4cNt79+4NR0dHPHnyRKr5ypr0ApD6ZarJ1edpMAdaE6Uy37E02TuMypHWfy8LycnJ1LNnT+rTpw9t27aNRCIRLV68mA4cOEDTpk0jeXl5OnToUG0dAr1+/ZoOHz5Md+/eFSslQNQ0ygkQEeXm5lKfPn1IS0uL5OTkyNjYmBQUFMjZ2Zny8vKI6OMrO8BovAiFQl4Wlrq6eqUZXo2N3NxcKioqElufnZ0tMYuVUTnMslPL1LTZHaNqZPXf14To6GgsWbIECQkJMDIywsKFCzF58mRuOxHh4MGDuHDhAl68eCFWyCsqKoq3PHz4cDg7O2P69Ol4+/YtOnTogLS0NBARiouL0b9/f14l5mPHjqFXr168qtAV52xMxMbGIiEhgasc3adPH27bxIkTkZKSgrNnz4oVTywsLISLiwssLCyaRAwTo26prrr88+fPYWho2LSsFLVEQUEBlJWVG1qMeoEpO4xGQ0P772fNmoXg4GD07NkTn332mVjKbHlTMQDo6+vjzJkz6NChA/bt24cVK1YgPj4e4eHh+O6776Tyh1ecszGQmZlZbSzBo0eP4ODgACUlpUrLDty8ebPaeRgMpuzIRnFxMdatW4egoCA8f/4cDx48gIWFBZYtWwYzMzNMmjSpoUWsGxrOqNT0KV/NMyMjg5YtW0bz589naecfyKtXr+jGjRt0/fr1ek1P1tbWphMnTkg9XllZmUsfHTNmDC1atIiIiNLT00kkEtWJjB8DQqGQnJ2dKSQkpMr/j7RlBxiMqqiuunxjdmPVBStXriQLCwv68ccfSUVFhXP5HThwgBwdHRtYurqDFRWsA6prdrdp0yau2R1DdrS1tdG5c+d636+mpqZMjVeNjY3xxx9/QEdHB6dPn8aBAwcAlAZbNmXT8c2bN7Fv3z6sWrUKM2bMgKurK0aPHo1Bgwbx3Hbm5uY4depUtWUHGIyqICKMHz+eO7cKCgowZcoUzh1cWFjYkOJ9dERERCAkJAS9e/fGlClTuPUdOnTgSqQ0RZgbqw7o378/5OXlsXjxYkRGRuL48eNwcXHhNbu7desWrl271sCSMmQhPDwcp0+fxp49e7iu5VWxY8cOzJo1C2pqajA1NcXt27chFAqxbds2REVF4cKFC/UgdcNBRLh48SL27duHQ4cOoaSkBEOHDmVxOIxaRZbaPQxARUUFiYmJMDU15bn87t69iy5duiAvL6+hRawTmLJTBzRr1gzR0dGwtbVFXl4eNDQ0EBcXh06dOgEoDap1dHREbm5uwwrKkIm3b9/Cw8MDV65cgZmZGRQUFHjbb9++LfadmzdvIjMzE3379oWamhoA4MSJE9DS0oKTk1O9yP0xcPv2bUyaNAkJCQksdoLBaEA6deqEOXPmYPTo0TxlZ9WqVTh79ixiYmIaWsQ6gbmx6oBXr15BX18fAKCmpgaRSMSrC6GtrY3//vuvocRjVEFV2Qnjxo3DrVu3MHr0aIkBypJwcHCAg4MDb92AAQNqRdaPnUePHmHfvn3Yt28f/v77b3Tr1g2BgYENLRaD8UmzfPlyjBs3Do8fP0ZJSQmioqJw//59RERE4Pjx4w0tXp3BlJ06Qtpmd4yGp6SkBGvXrq02O+HEiRM4c+YMPv/880rnmjt3LlavXg2RSMQrUCiJgICAWj2Oj4Xg4GDs27cPV65cQdu2beHp6YmjR4+yUgsMxkfA4MGDcezYMaxatQoikQjLly+Hvb09jh07hr59+za0eHUGU3bqCBYw13hYs2YNwsPDsWHDBnh7e3Prra2tsXnzZk7ZMTY2Fuu4XpE///wT79+/5/7+FFmzZg1GjhyJrVu3okOHDg0tDoPBqMAXX3yBs2fPNrQY9QqL2akDWMBc48LS0hLBwcHo3bs3z4edmJiIbt26IScnB0CpZWfbtm0ICgqCmZlZwwr9EUNEzJLJYHzE5Obm4uDBg0hNTcX8+fOho6PDFWU1MjJqaPHqBGbZqQOYEtO4ePz4scQGoyUlJZyVBgBGjx6N/Px8tGzZEqqqqmIBymUdiCdOnFjtPgUCAUJDQz9Q8o+TMkUnPz8fGRkZXBPUMlhPOAaj4UhISECfPn2gqamJtLQ0eHl5QUdHB1FRUcjIyEBERERDi1gnMGWH8cnTrl07xMTEiMWUHDx4EHZ2dtzy5s2bpZovLCwMpqamsLOzw6doOM3KysL48eNx+vRpidtZNhaD0XDMnTsX48ePx4YNG6Curs6td3Nzw6hRoxpQsrqFKTuMTx5psxPGjRsn1XxTp07F/v378fDhQ0yYMAGjR4/+pArlzZ49G69fv8b169fx5Zdf4vDhw3j+/DnWrFkDf3//hhaPwfikiYuLQ3BwsNh6IyMjPHv2rAEkqh+k6/XOYDRhyrITzp07x2Un3Lt3r8rshIKCAvz777+8TxmBgYF4+vQpFi5ciGPHjsHY2BjDhw/n9fRqykRHRyMgIAAODg4QCoUwNTXF6NGjsWHDBnz//fcNLR6D8UmjpKTEu1+V8eDBA+jp6TWARPUDC1BmMKTkzZs3WLRoEX755RdkZ2eLba/MPZOeno6wsDBERESgqKgI//zzD1dgsCmioaGBhIQEmJmZwdTUFPv27YOTkxMePnyI9u3bIz8/v6FFZDA+Wby8vJCdnY1ffvkFOjo6SEhIgJycHIYMGQJnZ2ep3fWNDWbZYXzyeHl54eLFi9WOW7hwIaKjo7Fz504oKSlh9+7dWLlyJQwNDasM6hMKhRAIBCCiTyJepU2bNrh//z6A0n47wcHBePz4MYKCgmBgYNDA0jEYnzb+/v7Iy8tD8+bN8fbtW/To0QOWlpZQV1fH2rVrG1q8OoNZdhifPIMHD8aZM2egp6eHb775Bp6enujYsaPYOBMTE0RERODLL7+EhoYGbt++DUtLS0RGRmL//v04efIkN7awsBBRUVHYs2cPYmNjMXDgQEyYMAGurq4QCpv2O8aPP/6IoqIijB8/Hrdu3YKrqytevXoFRUVFhIWFYcSIEQ0tIoPxyRMbG4uEhATk5eXB3t4effr0aWiR6hSm7DAYKO1E/uuvv2Lfvn2IiYnhKv+OGjWKq6mjpqaGu3fvwsTEBC1atEBUVBS6dOmChw8fwsbGhmugN23aNBw4cADGxsaYOHEiPD090axZswY8uoYlPz8fiYmJMDEx+aR/BwaD0XAwZYfBqMCjR4+wf/9+7NmzB0lJSSgqKgJQWh9m27Zt6NGjB/r06YOOHTti48aN2Lp1KzZs2IBHjx4BKHVbmZiYwM7OrsrielFRUfVyPA3Fu3fv8PDhQ7Rs2RLy8izxk8FoaEpKShAWFoaoqCikpaVBIBDA3NwcX331FcaMGdOki4E2bXs6gyEj79+/x82bN3H9+nWkpaXhs88+47ZNmDAB8fHxAIDFixcjMDAQysrKmDNnDhYsWMCNGzt2LHr27AktLS1oampW+mmq5OfnY9KkSVBVVUX79u2RkZEBAJgxYwb8/PwaWDoG49OEiODu7g4vLy88fvwYNjY2aN++PdLT0zF+/Hh4eHg0tIh1CzEYDIqOjiYvLy/S1tYmTU1NmjBhAp07d45KSkooJSWFSkpKxL6TlpZGhw4dovj4+AaQ+ONl5syZ1KlTJ4qJiSGRSEQpKSlERHTkyBHq2LFjA0vHYHya7Nmzh9TV1Sk6Olps2/nz50ldXZ3Cw8MbQLL6gbmxGJ88RkZGePXqFVxdXeHp6YlBgwZxTVwBQE5ODk+fPkXz5s0BACNGjMDWrVt5Vh/G/2Fqaoqff/4Zjo6OvF5jycnJsLe3l1jjg8Fg1C39+vVDr169sHjxYonb161bh0uXLuHMmTP1LFn9wNxYjE8eX19fPH36FIcPH8ZXX33FU3QAiBUCPHnyJN68eVOfIjYqsrKyOMWwPG/evGnSMQEMxsdMQkICXF1dK93ev39/zk3fFGHKDuOTx9vbG1paWgBKg5PLAo0ZNcPBwQEnTpzglssUnN27d6Nbt24NJRaD8Unz6tWrKq3Rn332GXJycupRovqFpUgwPnlKSkq4vk1l6ePq6uqYN28eli5dCoFAIGaRYBaKylm3bh369++Pu3fvoqioCFu2bMHdu3dx9epVXLp0qaHFYzA+SYqLi6vMipSTk+MyT5siTNlhfPIsXboUoaGh8PPzg5OTE4DSglu+vr4oKCgAEWH8+PGce6ugoABTpkyBSCTizdPUU8ml5fPPP8edO3fg5+cHGxsb/P7777C3t8cff/wBGxubhhaPwfgkqXgfq0hhYWE9S1S/sABlxiePoaEhgoKC4O7uzlt/9OhRTJs2Df369ZNqnr1799aFeAwGg/HBTJgwQapxTfU+xpQdxiePsrIyEhIS0Lp1a976+/fvo2PHjnj79m0DSda4kDbLSkNDo44lYTAYDD7MjcX45OnQoQO2b9+OrVu38tZv374dHTp0aCCpGh9aWlpVxjIREQQCwSfRDJXBYHxcMGWH8cmzYcMGDBgwAOfOneOyhf744w9kZmbymnsyqubChQvc30QENzc37N69G0ZGRg0oFYPBYDA3FoMBAHjy5AkCAwORmJgIALCyssK0adNgaGjYwJI1XsoXFGQwGIyGhCk7DEYlPHr0CKtWrUJISEhDi9IoYcoOg8H4WGBFBRmMSsjOzkZoaGhDi8FgMBiMD4QpOwwGo85gxRcZDMbHAAtQZjAYtcLQoUN5y6z4IoPB+Fhgyg6DwagVNDU1ecujR49uIEkYDAaDDwtQZnyyVLREVCQ3NxeXLl1idWEYDAajkcMsO4xPloqWCEnbx44dW0/SMBgMBqOuYJYdBoPBYDAYTRqWjcVgMBgMBqNJw5QdBoPBYDAYTRqm7DAYDAaDwWjSMGWHwWAwGAxGk4YpOwwGg8FgMJo0TNlhMBgMBoPRpGHKDoPBqFeePXuGGTNmwMLCAkpKSjA2NsagQYNw/vx5qb4fFhYGLS2tuhWSwWA0KVhRQQaDUW+kpaXByckJWlpa+OGHH2BjY4P379/jzJkz8PHxQWJiYkOLKDPv37+HgoJCQ4vBYDCqgFl2GAxGvTFt2jQIBALcuHEDw4YNQ+vWrdG+fXvMnTsX165dAwAEBATAxsYGIpEIxsbGmDZtGvLy8gAAFy9exIQJE/D69WsIBAIIBAL4+voCAAoLCzF//nwYGRlBJBKha9euuHjxIm//u3btgrGxMVRVVeHh4YGAgAAxK9HOnTvRsmVLKCoqok2bNoiMjORtFwgE2LlzJ9zd3SESibBmzRpYWlpi48aNvHF37tyBQCBAcnJy7f2ADAajZhCDwWDUA9nZ2SQQCGjdunVVjtu0aRNFR0fTw4cP6fz589SmTRuaOnUqEREVFhbS5s2bSUNDg54+fUpPnz6l//77j4iIvLy8qHv37nT58mVKTk6mH374gZSUlOjBgwdERBQbG0tCoZB++OEHun//PgUGBpKOjg5pampy+46KiiIFBQUKDAyk+/fvk7+/P8nJyVF0dDQ3BgA1b96c9uzZQykpKZSenk5r166ldu3a8Y5j5syZ5OzsXBs/HYPB+ECYssNgMOqF69evEwCKioqS6Xu//vor6erqcst79+7lKShEROnp6SQnJ0ePHz/mre/duzctWbKEiIhGjBhBAwYM4G339PTkzdW9e3fy9vbmjfn666/Jzc2NWwZAs2fP5o15/PgxycnJ0fXr14mI6N27d9SsWTMKCwuT6VgZDEbdwNxYDAajXiAp2/CdO3cOvXv3hpGREdTV1TFmzBhkZ2cjPz+/0u/89ddfKC4uRuvWraGmpsZ9Ll26hJSUFADA/fv30aVLF973Ki7fu3cPTk5OvHVOTk64d+8eb52DgwNv2dDQEAMGDMCePXsAAMeOHUNhYSG+/vprqY6ZwWDULSxAmcFg1AutWrWCQCCoMgg5LS0NAwcOxNSpU7F27Vro6OggNjYWkyZNwrt376Cqqirxe3l5eZCTk8OtW7cgJyfH26amplarxwEAIpFIbJ2XlxfGjBmDTZs2Ye/evRgxYkSl8jIYjPqFWXYYDEa9oKOjAxcXFwQGBuLNmzdi23Nzc3Hr1i2UlJTA398fjo6OaN26NZ48ecIbp6ioiOLiYt46Ozs7FBcX48WLF7C0tOR99PX1AQBt2rRBXFwc73sVl62srHDlyhXeuitXrqBdu3bVHp+bmxtEIhF27tyJ06dPY+LEidV+h8Fg1A9M2WEwGPVGYGAgiouL0aVLFxw6dAhJSUm4d+8etm7dim7dusHS0hLv37/Htm3bkJqaisjISAQFBfHmMDMzQ15eHs6fP4+XL18iPz8frVu3hqenJ8aOHYuoqCg8fPgQN27cwPfff48TJ04AAGbMmIGTJ08iICAASUlJCA4OxqlTpyAQCLi5FyxYgLCwMOzcuRNJSUkICAhAVFQU5s+fX+2xycnJYfz48ViyZAlatWqFbt261e6Px2Awak5DBw0xGIxPiydPnpCPjw+ZmpqSoqIiGRkZkbu7O124cIGIiAICAsjAwIBUVFTIxcWFIiIiCADl5ORwc0yZMoV0dXUJAK1YsYKISoOCly9fTmZmZqSgoEAGBgbk4eFBCQkJ3PdCQkLIyMiIVFRUaMiQIbRmzRrS19fnybdjxw6ysLAgBQUFat26NUVERPC2A6DDhw9LPLaUlBQCQBs2bPjg34nBYNQeAiIpowYZDAajieHt7Y3ExETExMTUynwxMTHo3bs3MjMz8dlnn9XKnAwG48NhAcoMBuOTYePGjejbty9EIhFOnTqF8PBw7Nix44PnLSwsRFZWFnx9ffH1118zRYfB+MhgMTsMBuOT4caNG+jbty9sbGwQFBSErVu3wsvL64Pn3b9/P0xNTZGbm4sNGzbUgqQMBqM2YW4sBoPBYDAYTRpm2WEwGAwGg9GkYcoOg8FgMBiMJg1TdhgMBoPBYDRpmLLDYDAYDAajScOUHQaDwWAwGE0apuwwGAwGg8Fo0jBlh8FgMBgMRpOGKTsMBoPBYDCaNP8PiJYRGI5r7n0AAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#print unique categories\n",
    "categories = set([joke[1] for joke in jokes])\n",
    "categories= sorted(categories)\n",
    "for category in categories:\n",
    "    print(category)\n",
    "print('amount of categories:', len(categories))\n",
    "# plot the distribution of categories\n",
    "category_counts = {}\n",
    "for joke in jokes:\n",
    "    if joke[1] in category_counts:\n",
    "        category_counts[joke[1]] += 1\n",
    "    else:\n",
    "        category_counts[joke[1]] = 1\n",
    "\n",
    "categories = list(category_counts.keys())\n",
    "counts = list(category_counts.values())\n",
    "\n",
    "plt.bar(categories, counts)\n",
    "plt.xlabel('Category')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Distribution of Joke Categories')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the distribution of ratings\n",
    "ratings = [joke[2] for joke in jokes]\n",
    "plt.hist(ratings, bins=100)\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Distribution of Joke Ratings')\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}