04_simulate_request_with_buffer_nonbinary_TODO.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from icecream import ic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ic| percent_of_quarters_needed_comfort: 0.0909090909090909\n",
      "    percent_of_quarters_needed_max: 0.11363636363636363\n",
      "ic| percent_of_quarters_needed_comfort: 0.1818181818181818\n",
      "    percent_of_quarters_needed_max: 0.22727272727272727\n"
     ]
    }
   ],
   "source": [
    "filepath_time_series_data = 'data/ods047_20230325_2cols_renamedcol.csv'\n",
    "\n",
    "df = pd.read_csv(filepath_time_series_data)  #, header=None, names=['time', 'value'])\n",
    "\n",
    "price_column_name = \"price\"\n",
    "\n",
    "\n",
    "ev_comfort_charge_capacity_kwh = int(0.8 * 60)  # 80% of 60kWh\n",
    "ev_max_charge_capacity_kwh = 60  # 60kWh\n",
    "buffer = 1  # 50%\n",
    "\n",
    "\n",
    "# hardcoded for now\n",
    "ev_pmax = 22  # kW\n",
    "ev_charged_per_quarter = ev_pmax / 4  # kWh\n",
    "\n",
    "\n",
    "ev_charging_quarters_count_comfort = ev_comfort_charge_capacity_kwh / ev_charged_per_quarter\n",
    "ev_charging_quarters_count_max = ev_max_charge_capacity_kwh / ev_charged_per_quarter\n",
    "\n",
    "total_quarters_count = len(df)\n",
    "\n",
    "percent_of_quarters_needed_comfort = ev_charging_quarters_count_comfort / total_quarters_count\n",
    "percent_of_quarters_needed_max = ev_charging_quarters_count_max / total_quarters_count\n",
    "ic(percent_of_quarters_needed_comfort, percent_of_quarters_needed_max)\n",
    "\n",
    "percent_of_quarters_needed_comfort = percent_of_quarters_needed_comfort * (1 + buffer)\n",
    "percent_of_quarters_needed_max = percent_of_quarters_needed_max * (1 + buffer)\n",
    "ic(percent_of_quarters_needed_comfort, percent_of_quarters_needed_max)\n",
    "\n",
    "df['is_in_lowest_quarters_comfort'] = df[price_column_name] <= df[price_column_name].quantile(percent_of_quarters_needed_comfort)\n",
    "\n",
    "df['is_in_lowest_quarters_max'] = df[price_column_name] <= df[price_column_name].quantile(percent_of_quarters_needed_max)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "highest_price_in_lowest_quarters_comfort = df[df['is_in_lowest_quarters_comfort']][price_column_name].max()\n",
    "\n",
    "highest_price_in_lowest_quarters_max = df[df['is_in_lowest_quarters_max']][price_column_name].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-241.09, -156.37)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "highest_price_in_lowest_quarters_comfort, highest_price_in_lowest_quarters_max"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12   -358.04\n",
       "27   -377.50\n",
       "37   -560.62\n",
       "38   -535.97\n",
       "39   -430.33\n",
       "40   -435.29\n",
       "45   -427.28\n",
       "47   -528.36\n",
       "48   -428.31\n",
       "49   -474.04\n",
       "50   -485.94\n",
       "53   -392.05\n",
       "87   -394.59\n",
       "Name: price, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['is_in_lowest_quarters_comfort']][price_column_name]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37   -560.62\n",
       "38   -535.97\n",
       "39   -430.33\n",
       "40   -435.29\n",
       "45   -427.28\n",
       "47   -528.36\n",
       "48   -428.31\n",
       "49   -474.04\n",
       "50   -485.94\n",
       "53   -392.05\n",
       "87   -394.59\n",
       "Name: Negative imbalance price, dtype: float64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['is_in_lowest_quarters_max']][price_column_name]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                     DateTime  Negative imbalance price  is_in_lowest_quarters\n",
      "0   2024-03-25T23:45:00+01:00                    239.52                  False\n",
      "1   2024-03-25T23:30:00+01:00                    218.06                  False\n",
      "2   2024-03-25T23:15:00+01:00                    139.89                  False\n",
      "3   2024-03-25T23:00:00+01:00                    181.01                  False\n",
      "4   2024-03-25T22:45:00+01:00                    141.38                  False\n",
      "5   2024-03-25T22:30:00+01:00                    136.19                  False\n",
      "6   2024-03-25T22:15:00+01:00                    139.91                  False\n",
      "7   2024-03-25T22:00:00+01:00                    139.09                  False\n",
      "8   2024-03-25T21:45:00+01:00                   -276.10                  False\n",
      "9   2024-03-25T21:30:00+01:00                    135.00                  False\n",
      "10  2024-03-25T21:15:00+01:00                    207.16                  False\n",
      "11  2024-03-25T21:00:00+01:00                    139.92                  False\n",
      "12  2024-03-25T20:45:00+01:00                   -358.04                  False\n",
      "13  2024-03-25T20:30:00+01:00                   -125.37                  False\n",
      "14  2024-03-25T20:15:00+01:00                    221.95                  False\n",
      "15  2024-03-25T20:00:00+01:00                    231.20                  False\n",
      "16  2024-03-25T19:45:00+01:00                    180.00                  False\n",
      "17  2024-03-25T19:30:00+01:00                   -157.25                  False\n",
      "18  2024-03-25T19:15:00+01:00                    377.80                  False\n",
      "19  2024-03-25T19:00:00+01:00                    415.19                  False\n",
      "20  2024-03-25T18:45:00+01:00                    286.82                  False\n",
      "21  2024-03-25T18:30:00+01:00                    263.59                  False\n",
      "22  2024-03-25T18:15:00+01:00                    188.32                  False\n",
      "23  2024-03-25T18:00:00+01:00                    145.56                  False\n",
      "24  2024-03-25T17:45:00+01:00                    204.02                  False\n",
      "25  2024-03-25T17:30:00+01:00                    143.21                  False\n",
      "26  2024-03-25T17:15:00+01:00                    139.89                  False\n",
      "27  2024-03-25T17:00:00+01:00                   -377.50                  False\n",
      "28  2024-03-25T16:45:00+01:00                    139.91                  False\n",
      "29  2024-03-25T16:30:00+01:00                    139.52                  False\n",
      "30  2024-03-25T16:15:00+01:00                    135.71                  False\n",
      "31  2024-03-25T16:00:00+01:00                    135.32                  False\n",
      "32  2024-03-25T15:45:00+01:00                    134.09                  False\n",
      "33  2024-03-25T15:30:00+01:00                   -241.09                  False\n",
      "34  2024-03-25T15:15:00+01:00                   -123.39                  False\n",
      "35  2024-03-25T15:00:00+01:00                   -254.31                  False\n",
      "36  2024-03-25T14:45:00+01:00                   -175.00                  False\n",
      "37  2024-03-25T14:30:00+01:00                   -560.62                   True\n",
      "38  2024-03-25T14:15:00+01:00                   -535.97                   True\n",
      "39  2024-03-25T14:00:00+01:00                   -430.33                   True\n",
      "40  2024-03-25T13:45:00+01:00                   -435.29                   True\n",
      "41  2024-03-25T13:30:00+01:00                    128.36                  False\n",
      "42  2024-03-25T13:15:00+01:00                    122.35                  False\n",
      "43  2024-03-25T13:00:00+01:00                    122.29                  False\n",
      "44  2024-03-25T12:45:00+01:00                    117.82                  False\n",
      "45  2024-03-25T12:30:00+01:00                   -427.28                   True\n",
      "46  2024-03-25T12:15:00+01:00                   -300.00                  False\n",
      "47  2024-03-25T12:00:00+01:00                   -528.36                   True\n",
      "48  2024-03-25T11:45:00+01:00                   -428.31                   True\n",
      "49  2024-03-25T11:30:00+01:00                   -474.04                   True\n",
      "50  2024-03-25T11:15:00+01:00                   -485.94                   True\n",
      "51  2024-03-25T11:00:00+01:00                   -226.72                  False\n",
      "52  2024-03-25T10:45:00+01:00                   -332.29                  False\n",
      "53  2024-03-25T10:30:00+01:00                   -392.05                  False\n",
      "54  2024-03-25T10:15:00+01:00                    -96.48                  False\n",
      "55  2024-03-25T10:00:00+01:00                    200.43                  False\n",
      "56  2024-03-25T09:45:00+01:00                    167.08                  False\n",
      "57  2024-03-25T09:30:00+01:00                    161.70                  False\n",
      "58  2024-03-25T09:15:00+01:00                    296.31                  False\n",
      "59  2024-03-25T09:00:00+01:00                    274.88                  False\n",
      "60  2024-03-25T08:45:00+01:00                    133.71                  False\n",
      "61  2024-03-25T08:30:00+01:00                    154.20                  False\n",
      "62  2024-03-25T08:15:00+01:00                    237.71                  False\n",
      "63  2024-03-25T08:00:00+01:00                    224.51                  False\n",
      "64  2024-03-25T07:45:00+01:00                    119.89                  False\n",
      "65  2024-03-25T07:30:00+01:00                    126.58                  False\n",
      "66  2024-03-25T07:15:00+01:00                     14.26                  False\n",
      "67  2024-03-25T07:00:00+01:00                    233.11                  False\n",
      "68  2024-03-25T06:45:00+01:00                    178.21                  False\n",
      "69  2024-03-25T06:30:00+01:00                    167.43                  False\n",
      "70  2024-03-25T06:15:00+01:00                    169.50                  False\n",
      "71  2024-03-25T06:00:00+01:00                    203.35                  False\n",
      "72  2024-03-25T05:45:00+01:00                    147.10                  False\n",
      "73  2024-03-25T05:30:00+01:00                     10.00                  False\n",
      "74  2024-03-25T05:15:00+01:00                   -129.76                  False\n",
      "75  2024-03-25T05:00:00+01:00                     85.48                  False\n",
      "76  2024-03-25T04:45:00+01:00                    100.10                  False\n",
      "77  2024-03-25T04:30:00+01:00                     85.42                  False\n",
      "78  2024-03-25T04:15:00+01:00                    107.72                  False\n",
      "79  2024-03-25T04:00:00+01:00                    135.00                  False\n",
      "80  2024-03-25T03:45:00+01:00                    140.00                  False\n",
      "81  2024-03-25T03:30:00+01:00                    148.38                  False\n",
      "82  2024-03-25T03:15:00+01:00                    140.78                  False\n",
      "83  2024-03-25T03:00:00+01:00                    140.00                  False\n",
      "84  2024-03-25T02:45:00+01:00                    140.00                  False\n",
      "85  2024-03-25T02:30:00+01:00                    140.00                  False\n",
      "86  2024-03-25T02:15:00+01:00                    140.00                  False\n",
      "87  2024-03-25T02:00:00+01:00                   -394.59                  False\n",
      "88  2024-03-25T01:45:00+01:00                    140.00                  False\n",
      "89  2024-03-25T01:30:00+01:00                    164.24                  False\n",
      "90  2024-03-25T01:15:00+01:00                    140.86                  False\n",
      "91  2024-03-25T01:00:00+01:00                    141.63                  False\n",
      "92  2024-03-25T00:45:00+01:00                    -39.94                  False\n",
      "93  2024-03-25T00:30:00+01:00                      9.98                  False\n",
      "94  2024-03-25T00:15:00+01:00                   -156.37                  False\n",
      "95  2024-03-25T00:00:00+01:00                    140.00                  False\n"
     ]
    }
   ],
   "source": [
    "# print the whole df without truncation\n",
    "pd.set_option('display.max_rows', None)\n",
    "print(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wefPmDgGgw2+TmpqKmTNnhvQ8QCCDSiKKIn777bd221QwBg0ahFWrVsHlcsmZnJ3dJtTtRHov7Nixo8N127dvR3Z2dru/80UXXYQ33ngD3377LbZt2wZRFNtlbw4cOBCAL+s0nNexM8G+x8IhbQ85OTmK/x5ERESxgD3hiIiICIMGDcJll12GBQsWdJguOnv2bOj1etx///0dsqBEUURtbS0AYOLEicjKysLLL78Mt9st32bhwoUdSi+ljJm2j7dq1SqsWLGi3e3MZjMABBUouuiii7By5Ur8+9//Rk1NTbtgBgBceOGF8Hg8ePDBBzvc1+12hxyUCpfb7caCBQvkfzudTixYsAB9+vTBhAkTAPT8deuMXq/v8Pd75pln4PF4QlrvKaecgpSUFMyfPx92u73dddLzTJgwAYMGDcKjjz6KlpaWDo9x6NChHj3Xm2++iebmZvnfH3zwASoqKnDaaaeFtPbzzjsPNTU1ePbZZztcJ609nO0kPz8f48aNwxtvvNHudps3b8bXX3+N008/vd3tZ86ciczMTCxatAiLFi3CMccc066cNCcnBzNmzMCCBQs67d3Y09exM1IwMBrb/axZs5Camop//vOfnU6XDef3ICIiigXMhCMiIiIAwP/93//hrbfewo4dOzBy5Ej58kGDBuHvf/877rjjDpSWluLcc89FSkoK9u7diw8//BDXXXcdbr/9dphMJtx33324+eabceKJJ+LCCy9EaWkpXn/9dQwaNKhdxs2ZZ56JxYsX43e/+x3OOOMM7N27Fy+++CJKSkraBWuSkpJQUlKCRYsWYejQocjMzMSoUaOO2IfswgsvxO23347bb78dmZmZHTJupk+fjuuvvx7z58/Hhg0bcMopp8BoNGLXrl14//338dRTT+H8889X8JXtmYKCAjz88MMoLS3F0KFDsWjRImzYsAEvvfSSnK3V09etM2eeeSbeeustpKWloaSkBCtWrMA333yDrKyskNabmpqKJ554Atdccw2OPvpoXHLJJcjIyMDGjRths9nwxhtvQKfT4ZVXXsFpp52GkSNH4qqrrkJhYSHKysrw/fffIzU1FZ988km3z5WZmYnjjz8eV111FaqqqvDkk09i8ODBuPbaa0Na+5w5c/Dmm29i3rx5WL16NaZOnQqr1YpvvvkGN954I84555ywt5NHHnkEp512GiZPnoyrr74ara2teOaZZ5CWlob77ruv3W2NRiNmz56Nd999F1arFY8++miHx3vuuedw/PHHY/To0bj22msxcOBAVFVVYcWKFTh48CA2btwY0msxaNAgpKen48UXX0RKSgosFgsmTZoUkZ5yqampeOGFF3D55ZfjqKOOwsUXX4w+ffpg//79+OyzzzBlypROA6NERES9BYNwREREBMDXU+qyyy7DG2+80eG6v/3tbxg6dCieeOIJ3H///QB8TdhPOeUUnH322fLt5s6dC1EU8dhjj+H222/H2LFj8fHHH+OWW25pN0HzyiuvRGVlJRYsWICvvvoKJSUlePvtt/H++++3mxIJAK+88gpuvvlm3HbbbXA6nbj33nuPGITr27cvjjvuOPz888+45pprOi03fPHFFzFhwgQsWLAAd955pzw84rLLLsOUKVOCfekUkZGRgTfeeAM333wzXn75ZeTm5uLZZ59tF2gK5nU73FNPPQW9Xo+FCxfCbrdjypQp+Oabb7rsMdYTV199NXJycvDQQw/hwQcfhNFoxPDhw3HbbbfJt5kxYwZWrFiBBx98EM8++yxaWlqQl5eHSZMmtZsGeyR33nknfv31V8yfPx/Nzc046aST8Pzzz8uZksHS6/X4/PPP8Y9//AP/+c9/8N///hdZWVlykEsSznYyc+ZMfPnll7j33ntxzz33wGg0Yvr06Xj44Yc7DXBddNFFeOWVVyAIAi688MIO15eUlGDNmjW4//778frrr6O2thY5OTkYP3487rnnnpBeB8AXAHzjjTdwxx134I9//CPcbjdee+21iA12uOSSS1BQUICHHnoIjzzyCBwOBwoLCzF16tQeTbYlIiKKZYIYSldgIiIioh7yer3o06cPZs+ejZdfflnt5VAMWbp0KU444QS8//77qmQnEhERESmJPeGIiIhIMXa7vUPfsTfffBN1dXWYMWOGOosiIiIiItIAlqMSERGRYlauXInbbrsNF1xwAbKysrBu3Tq8+uqrGDVqFC644AK1l0dEREREpBoG4YiIiEgxAwYMQFFREZ5++mnU1dUhMzMTc+bMwUMPPQSTyaT28oiIiIiIVMOecERERERERERERBHGnnBEREREREREREQRxiAcERERERERERFRhLEnXJC8Xi/Ky8uRkpICQRDUXg4REREREREREalIFEU0NzejoKAAOl3X+W4MwgWpvLwcRUVFai+DiIiIiIiIiIg05MCBA+jbt2+X1zMIF6SUlBQAvhc2NTVV5dUQEREREREREZGampqaUFRUJMeMusIgXJCkEtTU1FQG4YiIiIiIiIiICAC6bVvGwQxEREREREREREQRxiAcERERERERERFRhDEIR0REREREREREFGHsCUdEREREREREmieKItxuNzwej9pLoTij1+thMBi67fnWHQbhiIiIiIiIiEjTnE4nKioqYLPZ1F4KxSmz2Yz8/HyYTKaQH4NBOCIiIiIiIiLSLK/Xi71790Kv16OgoAAmkynsjCSinhJFEU6nE4cOHcLevXsxZMgQ6HShdXdjEI6IiIiIiIiINMvpdMLr9aKoqAhms1nt5VAcSkpKgtFoxL59++B0OpGYmBjS43AwAxERERERERFpXqjZR0RKUGL74xZMREREREREREQUYQzCERERERERERERRRiDcEREREREREREGlFaWgpBELBhwwa1l0IK42AGIiIiIiIiIiKNKCoqQkVFBbKzs9VeCimMQTgiIiIiIiIiIg1wOp0wmUzIy8tTeykUASxHJSIiIiIiIqKYIooibE531H9EUQxqnTNmzMDcuXMxd+5cpKWlITs7G3fffbf8OAMGDMCDDz6IOXPmIDU1Fdddd12n5ahbtmzBmWeeidTUVKSkpGDq1KnYvXu3fP0rr7yCESNGIDExEcOHD8fzzz+vyOtMymImHBERERERERHFlFaXByX3fBX15936wCyYTcGFUt544w1cffXVWL16NdasWYPrrrsO/fr1w7XXXgsAePTRR3HPPffg3nvv7fT+ZWVlmDZtGmbMmIHvvvsOqamp+Pnnn+F2uwEACxcuxD333INnn30W48ePx/r163HttdfCYrHgiiuuCO8XJkUxCEdEREREREREFCFFRUV44oknIAgChg0bhk2bNuGJJ56Qg3Annngi/vznP8u3Ly0tbXf/5557DmlpaXj33XdhNBoBAEOHDpWvv/fee/HYY49h9uzZAIDi4mJs3boVCxYsYBBOYxiEIyIiIiIiIjoCj1fEhgP1GNM3HUY9uzppQZJRj60PzFLleYN17LHHQhAE+d+TJ0/GY489Bo/HAwCYOHHiEe+/YcMGTJ06VQ7AtWW1WrF7925cffXVclAPANxuN9LS0oJeK0UWg3BERERERERER/DB2gP46383YdbIXLx42YR2ARVShyAIQZeFapXFYjni9UlJSV1e19LSAgB4+eWXMWnSpHbX6fXBBwwpshjCJyIiIiIiIjqCn3+rBQB8taUK7689qPJqKNasWrWq3b9XrlyJIUOG9DhINmbMGPz4449wuVwdrsvNzUVBQQH27NmDwYMHt/spLi5WZP2kHAbhiIiIiIiIiI5gU1mj/P8PfLIVB+psKq6GYs3+/fsxb9487NixA++88w6eeeYZ/OlPf+rx/efOnYumpiZcfPHFWLNmDXbt2oW33noLO3bsAADcf//9mD9/Pp5++mns3LkTmzZtwmuvvYbHH388Ur8ShShmg3APPfQQBEHArbfeKl9mt9tx0003ISsrC8nJyTjvvPNQVVXV7n779+/HGWecAbPZjJycHPzlL3+RJ4oQERERERERtdVkd2FvjRUAMLIgFS0ON/78/kZ4vKLKK6NYMWfOHLS2tuKYY47BTTfdhD/96U+47rrrenz/rKwsfPfdd2hpacH06dMxYcIEvPzyy3KPuGuuuQavvPIKXnvtNYwePRrTp0/H66+/zkw4DYrJAupffvkFCxYswJgxY9pdftttt+Gzzz7D+++/j7S0NMydOxezZ8/Gzz//DADweDw444wzkJeXh+XLl6OiogJz5syB0WjEP//5TzV+FSIiIiIiItKwzf4suML0JDx/6VE47akfsXpvHV79aQ+umzZI5dVRLDAajXjyySfxwgsvdLju8EmoADBgwACIYvsg75gxY/DVV191+RyXXHIJLrnkkrDXSpEVc5lwLS0tuPTSS/Hyyy8jIyNDvryxsRGvvvoqHn/8cZx44omYMGECXnvtNSxfvhwrV64EAHz99dfYunUr3n77bYwbNw6nnXYaHnzwQTz33HNwOp1q/UpERERERESkUZsO+oJwY/qmoX+WBXefWQIAePSrndhR2azm0ogoxsRcEO6mm27CGWecgZkzZ7a7fO3atXC5XO0uHz58OPr164cVK1YAAFasWIHRo0cjNzdXvs2sWbPQ1NSELVu2dPp8DocDTU1N7X6IiIiIiIgoPkj94Eb3TQMAXHx0EU4angOnx4tbF22A0+1Vc3lEFENiKgj37rvvYt26dZg/f36H6yorK2EymZCent7u8tzcXFRWVsq3aRuAk66XruvM/PnzkZaWJv8UFRUp8JsQERERERFRLJCDcIW+IJwgCJh/3mhkmI3YVtGEJ7/ZqebySOOWLl2KJ598Uu1lkEbETBDuwIED+NOf/oSFCxciMTExas97xx13oLGxUf45cOBA1J6biIiIiIiI1NNoc2FfrW8SqhSEA4CclETMnz0aAPDist1Yu69OlfURUWyJmSDc2rVrUV1djaOOOgoGgwEGgwHLli3D008/DYPBgNzcXDidTjQ0NLS7X1VVFfLy8gAAeXl5HaalSv+WbnO4hIQEpKamtvshIiIiIiKi3m9zuS8LrigzCelmU7vrTh2Vj9lHFcIrArct2girw63GEokohsRMEO6kk07Cpk2bsGHDBvln4sSJuPTSS+X/NxqN+Pbbb+X77NixA/v378fkyZMBAJMnT8amTZtQXV0t32bJkiVITU1FSUlJ1H8nIiIiIiIi0i6pFHVMYXqn19939kgUpidhf50Nf/9sWxRXRkSxyKD2AnoqJSUFo0aNaneZxWJBVlaWfPnVV1+NefPmITMzE6mpqbj55psxefJkHHvssQCAU045BSUlJbj88svxr3/9C5WVlbjrrrtw0003ISEhIeq/ExEREREREWmXNBl1VJtS1LZSE4145IIxuOTlVXhn9X6cXJKDE4fndnpbIqKYyYTriSeeeAJnnnkmzjvvPEybNg15eXlYvHixfL1er8enn34KvV6PyZMn47LLLsOcOXPwwAMPqLhqIiIiIiIi0iI5E65v50E4ADhuUDauPr4YAPD/PtiEOqszKmsjotgjiKIoqr2IWNLU1IS0tDQ0NjayPxwREREREVEv1WBzYtwDSwAAG+85BWlmY5e3tbs8OOuZn7CrugWnjcrD85ceBUEQorXUXs9ut2Pv3r0oLi6O6qBGoraOtB32NFbUqzLhiIiIiIiIiJSwuawJANA/y3zEABwAJBr1eOKicTDoBHyxuRIfri+LxhKJKMYwCEdERERERER0mF/LGgB03Q/ucKMK03DrzCEAgHv/twVlDa2RWhrFkCuvvBLnnnuu2svokRkzZuDWW29VexndGjBgAJ588km1lxESBuGIiIiIiIiIDrNZnozasyAcAPxx+iCM75eOZocbj321I1JLo3B4PMDSpcA77/j+6/GovSLqIadT2X6LSj9eTzAIR0RERERERHSYX/2TUUcfYSjD4Qx6Ha6bOhAAUFprjci6KAyLFwMDBgAnnABcconvvwMG+C5XybJly3DMMccgISEB+fn5+Nvf/ga32w0A+PTTT5Geng6PP1C4YcMGCIKAv/3tb/L9r7nmGlx22WXyv3/66SdMnToVSUlJKCoqwi233AKrNbAtPv/88xgyZAgSExORm5uL888/H4AvY2/ZsmV46qmnIAgCBEFAaWlpp2uurq7GWWedhaSkJBQXF2PhwoXtstNKS0shCAI2bNgg36ehoQGCIGDp0qUAAI/Hg6uvvhrFxcVISkrCsGHD8NRTT7V7HimL8B//+AcKCgowbNgwzJgxA/v27cNtt90mr7Onv/uAAQPw4IMPYs6cOUhNTcV1110Hp9OJuXPnIj8/H4mJiejfvz/mz5/fw79e8BiEIyIiIiIiImqj3urEwXpfOWlPy1ElKYm+/nE2JzOsNGXxYuD884GDB9tfXlbmu1yFQFxZWRlOP/10HH300di4cSNeeOEFvPrqq/j73/8OAJg6dSqam5uxfv16AL6AXXZ2thzIki6bMWMGAGD37t049dRTcd555+HXX3/FokWL8NNPP2Hu3LkAgDVr1uCWW27BAw88gB07duDLL7/EtGnTAABPPfUUJk+ejGuvvRYVFRWoqKhAUVFRp+u+8sorceDAAXz//ff44IMP8Pzzz6O6ujqo393r9aJv3754//33sXXrVtxzzz2488478d5777W73bfffosdO3ZgyZIl+PTTT7F48WL07dsXDzzwgLzOnvzukkcffRRjx47F+vXrcffdd+Ppp5/Gxx9/jPfeew87duyQA4qRYojYIxMRERERERHFoE3+UtTibAtSE488lOFw5gQ9AMDqdCu+LgqRxwP86U+AKHa8ThQBQQBuvRU45xxAr4/asp5//nkUFRXh2WefhSAIGD58OMrLy/HXv/4V99xzD9LS0jBu3DgsXboUEydOxNKlS3Hbbbfh/vvvR0tLCxobG/Hbb79h+vTpAID58+fj0ksvlfu6DRkyBE8//TSmT5+OF154Afv374fFYsGZZ56JlJQU9O/fH+PHjwcApKWlwWQywWw2Iy8vr8s179y5E1988QVWr16No48+GgDw6quvYsSIEUH97kajEffff7/87+LiYqxYsQLvvfceLrzwQvlyi8WCV155BSaTSb5Mr9cjJSWl3Tq7+92laaYnnngi/vznP8v3279/P4YMGYLjjz8egiCgf//+Qf0ewWImHBEREREREVEbUhAu2Cw4AEhO8OW6WB3MhNOMH3/smAHXligCBw74bhdF27Ztw+TJk9uVVE6ZMgUtLS046F/v9OnTsXTpUoiiiB9//BGzZ8/GiBEj8NNPP2HZsmUoKCjAkCG+gSAbN27E66+/juTkZPln1qxZ8Hq92Lt3L04++WT0798fAwcOxOWXX46FCxfCZrMFvWaDwYAJEybIlw0fPhzp6elB//7PPfccJkyYgD59+iA5ORkvvfQS9u/f3+42o0ePbheA60p3v7tk4sSJ7e535ZVXYsOGDRg2bBhuueUWfP3110H/HsFgEI6IiIiIiIiojU0Hgx/KIDGb/JlwDmbCaYa/ZFGx20XRjBkz8NNPP2Hjxo0wGo0YPnw4ZsyYgaVLl2LZsmVyFhwAtLS04Prrr8eGDRvkn40bN2LXrl0YNGgQUlJSsG7dOrzzzjvIz8/HPffcg7Fjx6KhoUHRNet0vlCT2Cbz0OVytbvNu+++i9tvvx1XX301vv76a2zYsAFXXXVVh2EJFoulR8/Z3e/e1eMdddRR2Lt3Lx588EG0trbiwgsvlPvkRQLLUYmIiIiIiIjaCCcTzmLyHWY73F64PV4Y9Mx9UV1+vrK3U8iIESPw3//+F6IoytlwP//8M1JSUtC3b18Agb5wTzzxhBxwmzFjBh566CHU19e3K6086qijsHXrVgwePLjL5zQYDJg5cyZmzpyJe++9F+np6fjuu+8we/ZsmEwmeQhEV4YPHw632421a9fK5ag7duxoF8jr06cPAKCiokIud207pEH6PY877jjceOON8mW7d+8+4nNLOltnT373rqSmpuKiiy7CRRddhPPPPx+nnnoq6urqkJmZGfRjdYefBkRERERERER+tS0OlDVIQxlSg76/JSGQ62LlcAZtmDoV6NvX1/utM4IAFBX5bhcBjY2N7TK0NmzYgAMHDuDGG2/EgQMHcPPNN2P79u343//+h3vvvRfz5s2Ts8kyMjIwZswYLFy4UB7AMG3aNKxbtw47d+5slwn317/+FcuXL8fcuXOxYcMG7Nq1C//73//k4QSffvopnn76aWzYsAH79u3Dm2++Ca/Xi2HDhgHwTQ9dtWoVSktLUVNTA6/X2+F3GTZsGE499VRcf/31WLVqFdauXYtrrrkGSUlJ8m2SkpJw7LHH4qGHHsK2bduwbNky3HXXXe0eZ8iQIVizZg2++uor7Ny5E3fffTd++eWXHr2eAwYMwA8//ICysjLU1NT06HfvyuOPP4533nkH27dvx86dO/H+++8jLy8vpPLanmAQjoiIiIiIiMhPyoIbmG2RJ50Gw2TQwaj3BXtsHM6gDXo98NRTvv8/PBAn/fvJJyM2lGHp0qUYP358u5/7778fhYWF+Pzzz7F69WqMHTsWf/zjH3H11Vd3CFhNnz4dHo9HDsJlZmaipKQEeXl5cgANAMaMGYNly5Zh586dmDp1KsaPH4977rkHBQUFAID09HQsXrwYJ554IkaMGIEXX3wR77zzDkaOHAkAuP3226HX61FSUoI+ffp06M8mee2111BQUIDp06dj9uzZuO6665CTk9PuNv/+97/hdrsxYcIE3HrrrfLEV8n111+P2bNn46KLLsKkSZNQW1vbLivuSB544AGUlpZi0KBBctZdd797V1JSUvCvf/0LEydOxNFHH43S0lJ8/vnnchBUaYIodjYehLrS1NSEtLQ0NDY2IjU1+LMiREREREREpF3PfrcLj369E+eMK8BTF48P6THG3v81Gltd+GbeNAzOSVF4hfHHbrdj7969KC4ulqdchmTxYt+U1LZDGoqKfAG42bPDXmc8GzBgAG699VZ5OmlvdKTtsKexIvaEIyIiIiIiIvL71T+UYXQI/eAkyQkGNLa6OCFVa2bPBs45xzcFtaLC1wNu6tSIZcARHY5BOCIiIiIiIiK/zWXhB+HkCaksR9UevR7wl3USRRuDcEREREREREQAalocKG+0QxCAkeEE4fzDGZgJR/GitLRU7SXEBA5mICIiIiIiIkL7oQzJCaHnrCQn+DLhOJiBiNpiEI6IiIiIiIgIwCZ/P7gxfdPDehyzyRfAa3EwCKckzpUkNSmx/TEIR0RERERERITAUIZRYZSiApCz6GwsR1WE0WgEANhsNpVXQvFM2v6k7TEU7AlHREREREREhMBQhjF9wwvCcTCDsvR6PdLT01FdXQ0AMJvNEARB5VVRvBBFETabDdXV1UhPT4c+jGm6DMIRERERERFR3KtutqOyyTeUoSQ/NazHssiDGRiEU0peXh4AyIE4omhLT0+Xt8NQMQhHREREREREcU/KghvcJ1kOooXK4u8JZ3WyHFUpgiAgPz8fOTk5cLlcai+H4ozRaAwrA07CIBwRERERERHFPakf3Ogw+8EBgEWajspMOMXp9XpFgiFEauBgBiIiIiIiIop7Uibc6DD7wQFtp6MyE46IAhiEIyIiIiIiorgXkUw4DmYgojYYhCMiIiIiIqK4VtVkR3WzAzoBKCkIbygDwJ5wRNQ5BuGIiIiIiIgorm3yZ8ENyUmRS0nDwemoRNQZBuGIiIiIiIgorm3y94MbpUApKsDBDETUOQbhiIiIiIiIKK5JQbgxCgxlANoOZmAQjogCGIQjIiIiIiKiuCWKouKZcMn+clSb0wNRFBV5TCKKfQzCERERERERUdyqanLgULMDep2AkvzwhzIAgNlfjur2inB6vIo8JhHFPgbhiIiIiIiIKG5JWXBDcpKRZNIr8phmY+BxrA5OSCUiHwbhiIiIiIiIKG5tOtgAABitUCkqABj0OiQafYfbnJBKRBIG4YiIiIiIiChu/erPhBut0FAGicUU6AtHRAQwCEdERERERERxShRFbJaCcApmwgGBvnCckEpEEgbhiIiIiIiIKC5VNNpR0+KEXidghEJDGSSBTDgG4YjIh0E4IiIiIiIiikvSUIahuSlINCozlEFiSfAF4dgTjogkDMIRERFRVDS2uiCKotrLICIikm066AvCjVG4FBVoG4RjTzgi8mEQjoiIiCJKFEW89MNuHPXgEtyxeJPayyEiIpJJmXCjFB7KAAAWky+zjuWoRCQxqL0AIiIi6r0cbg/uXLwZ/113EADw7fZqlVdERETkI4qiHISLRCac2d8TroWZcETkxyAcERERRcShZgf++PZarN1XD50AiP7LqpvtyElJVHt5REQU58ob7aizOmHQCRiWl6L44ycnMBOOiNpjOSoREREpbmt5E8597mes3VePlEQDXr/qGAzMtgAAtpQ3qbw6IiIiYNPBBgDAsDzlhzIAgJk94YjoMAzCERERkaK+3FyJ815YjrKGVgzMtuCjm6Zg2tA+GFngK/XZyiAcERGpzOMV8cmvFQCA0REoRQUCPeE4HZWIJAzCERERkSJEUcRz3/+GP769Fq0uD6YOycaHN07BoD7JAICRBakAgC3ljWouk4iI4pzd5cHc/6zDZ79WQBCA00fnR+R55OmoLEclIj/2hCMiIqKw2V0e/L8PfsXHG8sBAFceNwB3nTECBn3gfJ+UCcdyVCIiUktjqwvXvbkGq/bWwaTX4fGLxmLa0D4ReS6LfzCDzclyVCLyYRCOiIiIwlLVZMd1b67BxoONMOgEPHDOKFwyqV+H20mZcPtqbWiyu5CaaIz2UomIKI5VNtpx5Wursb2yGckJBrw0ZwKOG5Qdsecz+wcztLAclYj8GIQjIiKikG062Ihr31yDyiY70s1GvHDpBEwelNXpbTMsJhSkJaK80Y6t5U04dmDntyMiIlLab9XNuOLfv6CsoRV9UhLw+lVHyxnakSKVo3I6KhFJ2BOOiIiIQrKlvBEXLFiOyiY7huQk4383TekyACcZWciSVCIiiq61++px/osr5IFBi284LuIBOCBQjsrpqEQkYRCOiIiIQvLxxnLYXV4cPSADi288Dv2zLN3eh8MZiIgomr7ZWoVLX1mJBpsL44rS8cENx6Eo0xyV57YkcDoqEbXHclQiIiIKybaKZgDAueMLkdLD/m5S5sFWZsIREVGELfplP+78cDM8XhEnDOuD5y49CmZT9A6BOZiBiA7HIBwRERGFZFuFL5A2Ij+1x/eRMuF2VbfA7vIg0aiPyNqIiCh+iaKIZ7/7DY8t2QkAuGBCX/xz9mgY9dEtBJMGM1idboiiCEEQovr8RKQ9LEclIiKioNW0OHCo2QFBAIbnpfT4fvlpicgwG+HxithZ1RzBFRIRUTzyeEXc9dFmOQA394TB+Nf5Y6IegAOAZP9gBlEEWl3MhiMiBuGIiIgoBNv9pagDsixBlfYIgiCXpHI4AxERKe3hL7dj4ar9EATggXNG4vZZw1TLQEs06CE9NYczEBHAIBwRERGFQCpFDSYLTjKy0FeSurmMwxmIiEg5DrcH76zeDwB45PyxmDN5gKrr0ekEmI0czkBEAQzCERERUdBC6QcnYSYcERFFwg87a9BsdyM3NQGzxxeqvRwAgMVfkmp1MghHRAzCERERUQi2hhWE891ne2UTPF5R0XUREVH8+mRjOQDgjNEF0Om0MQRBCsJxQioRAQzCERERUZCcbi92H2oBAIzID74ctTjLArNJD7vLiz3+xyEiIgpHq9ODb7ZVAQDOGpuv8moCzCZfOWoLy1GJCAzCERERUZB+q26ByyMiNdGAwvSkoO+v0wlyBh1LUomISAnfba+GzelB34wkjCtKV3s5MjkTjoMZiAgMwhEREVGQ5KEM+akhT5yTSlK3lHM4AxERhU8qRT1rbIFq01A7YzFxMAMRBTAIR0REREHZXukLwpWE0A9OMorDGYiISCHNdhe+21ENADhrTIHKq2mPgxmIqC0G4YiIiCgo2yqaAYTWD05S4s+E21zWCFHkcAYiIgrdkq1VcLq9GNTHEtZ3UyRYTBzMQEQBDMIRERFRj4miGChHzQs9E25obgqMegFNdjcO1rcqtTwiIopDWi1FBQBzAgczEB1OFEW4PV61l6EKBuGIiIioxw41O1BrdUInAMPyQs82MBl0GJLjuz9LUomIKFT1Vid+3FUDADhTY6WoAJAsD2ZgEI4I8E0yvvmd9bj7f5vjshqCQTgiIqIYs6W8EX98ay3Of2E56qzOqD73Vn8WXHG2BYlGfViPJQ1n2MrhDEREFKIvt1TC7RVRkp+KwTnJai+nA7NJ6gnHclSiykY7LnppBT79tQIfrD2I36pb1F5S1BnUXgARERH1zM6qZjyxZCe+2FwpX/bR+jL84fjiqK0h0A8u9FJUyciCVLy/lplwREQUuralqFpkSeB0VCIA2HigAde+uQbVzQ5kWkx44dKjMCRXWz0co4GZcERE1CttOtiImY8vw+ebKtReSth2H2rBLe+sx6wnf8AXmyshCMAQ/9n+JVuroroWqR+cIkG4Qk5IJSKi0FU32bFiTy0A4Mwx+SqvpnMWFTPhnG4v7C5m4JH6Pt5YjgsXrEB1swNDc5Pxv5umYNLALLWXpQpmwhERUa/0z8+34bfqFvx37UGcPlqbO+bd2VdrxVPf7sJH68vg9bfMOG1UHm6dORRJRj2mPfI9VpfWocHmRLrZFJU1SUG4EgWCcCPyUyEIQGWTHbUtDmQlJ4T9mEREFD8+31QBUQTG90tHUaZZ7eV0Sq1MOJfHi3Oe+xm7q1swY1gf/G58IU4YnhN2KwmiYHi9Ip74Ziee+e43AMBJw3Pw5MXjkJJoVHll6mEQjoiIep31++vlM+NlDbE3efNgvQ3Pfvcb3l97EB5/9G3miFzcdvIQjCxIk283PC8F2yub8d32asw+qm/E12V3ebCnxgpAmUy45AQDirMs2FNjxZbyJkwb2ifsxyQiovjxya++bPezNDiQQWLxD2aIdhDug7UH5RNnX2+twtdbq5CSaMDpo/Jx7vhCTCrOhE6nrUmy1LvYnG78+b2NchuV66cPxP+bNRz6ON/uGIQjIqJe54Wlu+X/L4+hIFx1sx1Pf7sLi345AJfHF3ybMawPbps5FGOL0jvc/uSSXGyvbMaSrVVRCcL9Vt0Cj1dEhtmI3FRlstZKClKxp8aKzeWNDMIREVGPlTW0Yu2+eggCcIZGS1GBwGAGWxTLUZ1uL571Zx5dN20gdIKAjzeUobzRjkVrDmDRmgPIT0vE2eMK8LvxhRieF/6JNaK2yhtacc0ba7C1ogkmvQ7/nD0a50+I/L5qLGAQjoiIepVdVc34uk2ftCa7G812l+bT3kVRxJxXV2N7pW/wwZTBWZh38lBM6J/Z5X1OLsnFM9/9hmU7D8Hu8kS8xESajDo8LxWCoMxZzJEFafj01wr2hSMioqB89qtvIMMxAzKRm5qo8mq6pkY56ntrDqCsoRU5KQmYd/JQJBr1+H+zhmF1aR0+Wl+GzzZVoKLRjgXL9mDBsj0YnpeCc8YV4tzxBchPS4raOql3Wre/Hte9uRY1LQ5kJ5uw4PIJR9yfjTcczEBERL3Ki8v2AABmjcxFutkXeCtvsKu5pB7ZW2PF9spmmAw6vHvdsVh4zbHd7rCMLkxDXmoibE4PVuyujfgalRzKIBlZ4HusrQzCERFRED7Z6C9F1ehUVElgMEN0gnAOtwfPfe/LgrtxxiD5BJ1OJ+DYgVl46Lwx+OX/ZuLFy47CrJG5MOl12F7ZjIe/3I4THl0ak208SDs+XH8QF7+0EjUtDgzPS8FHN01hAO4wDMIREVGvUdbQiv9tKAMA3DBjMAr8Z3NjoSR15Z46AMD4onQc28NpUYIgYGZJDgDg662VEVubJBCEU26cvBSE21tjRUuU++UQEVFs2ltjxaayRuh1Ak4blaf2co5I6glnd3nlPq+R9N4vB1DRaEdeaiIuPqZfp7dJNOpx6qh8LLh8In75v5mYP3s0Mi0m2F1e7KxqjvgaqfcRRRGPfLUdty3aCKfbi1NKcvHfG45D3wxtDkxRE4NwRETUa7z8wx64vSKOG5SFcUXpKEj3BeFi4azuqr2+TLZgx7WfUuI7+PhmWzW8Edy5F0UR2yp8O+ZKZsJlJScgP81XRiQF+YiIiI7k042+UtQpg7M1P1nbbAq0ioh0Npzd5cFz3/v64t54wqAetalIMxvx+2P6ySfYGmzOiK6ReqcVe2rlbe+mEwbhxcsmyAFoao9BOCIi6hVqWxx495f9AIAbZwwGABSm+4I7Ws+EE0URq/yZcMcODC5l/9iBWUhJMOBQswMbDjZEYHU+FY12NLa6YNAJGJKbrOhjS9lwW8oaFX1cIiLqnT7x94M7S8MDGSQJBh0M/mmQNkdkhzO8u3o/KpvsyE9LxEVHFwV133SzCQBQb3VFYmnUy33qn1R8wYS++Mus4Zy8ewQMwhERUa/w+vJS2F1ejC5Mw5TBvmyywozYyITbX2dDZZMdJr0OR/XLCOq+JoMO04f5pop+vaWqm1uHTspSG9QnGQkGZQdAlBSkAQCHMxARUbd2VDZjZ1ULTHodThmp7VJUwNc6QsqGi2QmnN3lwfNLpUykwUF/V2f4++gyE46C5fZ48dVmX1uUs8dpu0ejFjAIR0REMa/F4cYby0sB+JoQS5M7pXJUrWfCrdzjK0UdW5QW0oTTk0tyAQBLItgXTpraqmQ/OImUCbeZQTgiIurGJ/5S1OnD+iAtSduTzyVSWV4kJ6T+Z9V+VDc7UJiehAsnBpcFBwAZUiacjZlwFJzVe+tQa3Uiw2zscV/jeBYzQbj58+fj6KOPRkpKCnJycnDuuedix44d7W5jt9tx0003ISsrC8nJyTjvvPNQVdU+K2D//v0444wzYDabkZOTg7/85S9wu9kImogolv1n1T402d0YmG1pd1Y8EITT9nRUqRR1UnFoOy4nDM+BUS9g9yEr9hxqUXJpsq0RmIwqkYJwu6qa4XBHtlSHiIhilyiKgVJUjU9FbSsQhIvMd1yr04MXlgWy4EyG4A/z5XLUGMmEq7M6cdN/1uGbrZGrAqCe+XyzrxT1lJI8GPUxE2JSTcy8QsuWLcNNN92ElStXYsmSJXC5XDjllFNgtVrl29x222345JNP8P7772PZsmUoLy/H7Nmz5es9Hg/OOOMMOJ1OLF++HG+88QZef/113HPPPWr8SkREMcXp9sIW4YbCoXC4PXjlx70AgD9OHwR9mx4Uhf4gXGWTHW6PV5X1dUcURaza6w/CBdkPTpKaGDjzuCRCO6NSOerwCAThCtOTkJZkhNsrYldVZIKIREQUeWv31WNLeeT6e24qa8S+WhuSjHrMHJETsedRmkUqR41QJtzCVftwqNmBvhlJOH9C35AeI1COGhuZcK/+tAef/VqBez/eEtHBVHRkHq+ILzf79j1Pj4EejVoQM0G4L7/8EldeeSVGjhyJsWPH4vXXX8f+/fuxdu1aAEBjYyNeffVVPP744zjxxBMxYcIEvPbaa1i+fDlWrlwJAPj666+xdetWvP322xg3bhxOO+00PPjgg3juuefgdMZGxJ+ISA0er4jzXliO4x76Dr9Va2t0/eJ1ZahudiAvNRHnji9sd12f5AQY9QI8XhFVzQ6VVnhkB+tbUdbQCoNOwIT+wfWDa0sqSf06AkG4VqcHpTW+k16RKEcVBAGjCv3DGSJ48EZERJGzt8aKCxeswAUvrkCdNTLHVlIp6kkjcmA2xc7kRTkTLgInM21ON170Z8HdfGJoWXAAkGGJnUw4j1fEB2sPAvD1/V2zr17lFcWvX0rrUNPiQFqSEccNYilqT8RMEO5wjY2+nfTMTF/WwNq1a+FyuTBz5kz5NsOHD0e/fv2wYsUKAMCKFSswevRo5ObmyreZNWsWmpqasGXLlk6fx+FwoKmpqd0PEVG8WbK1EpvKGtFgc+GGt9dpJiPO4xWxwL/jec3U4g47njqdgPw0bfeFk/rBjembFtYBxcwRvu+2dfvrcUjhgOOOqmZ4RSA72YSclERFH1syMgrDGbxeEXd9tAnXv7UGHp41JyJS1JsrSuHxirA5PfjPqn2KP77XK8oTGGOpFBWA/P1ucypfjvr2yn2oaXGiX6YZs48KLQsOCPSEi4VMuB92HkJVU2Bf58P1ZSquJr59vkkqRc1lKWoPxeSr5PV6ceutt2LKlCkYNWoUAKCyshImkwnp6entbpubm4vKykr5Nm0DcNL10nWdmT9/PtLS0uSfoqLgm1wSEcUyURTxwrI98r93Vbfg/z7cDFFUP4jxxeYKlNbakG424vfH9Ov0NgXpvqCRVoNwgVLU8M4eFqQnYVRhKkQR+G67stlw2yLYD04i9YWLZBDume9+w9sr9+OrLVX4rZplr0RESrE63PhgzUH532+u2AenW9k2EOv216Oi0Y6UBAOmD+2j6GNHmiUhMuWoVocbC/z7aHNPHBxWEEQqR42FTLj31hwAAIwu9J3A++zXcvaUVYHHK+IL/1RUlqL2XEwG4W666SZs3rwZ7777bsSf64477kBjY6P8c+DAgYg/JxGRlqzeW4eNBxpgMujw/KVHQa8T8OH6MryzWt3PQ1EU8cJSXxbcFZMHyKUeh5OGM5RpNgjny4SbVBxaP7i2TinxDaVQui9cNINw2yqaIpKltnRHNZ78dqf879oWbZYnExHFosXrDqLZ4UZxtgW5qQmobnbgU/8ABaVIpainjMwLaZK4miI1mOHNFftQa3Wif5YZsw9ryREsaTCDzemB3aXdgFZtiwPfbPPt5zx03mjkpyWiye7G99sPqbyy+LN2n6/6IjXRgCmDstVeTsyIuSDc3Llz8emnn+L7779H376BdNu8vDw4nU40NDS0u31VVRXy8vLk2xw+LVX6t3SbwyUkJCA1NbXdDxFRPHnpB98Z1vOO6ovTR+fjL7OGAQDu+3gLNpep17/rh1012FLehCSjHlceN6DL2xWma7cctayhFQfqWqHXCZg4IPwgnNQX7sddNYqWDG+v8PUBjEQ/OElxdjKSjHrYnB7srbF2f4cgHKy34dZFG9A2ebMmQv2KiIjijSiKeGOFr/x0zuT+mDN5AADglR/3KpY17/Z48Zm/7O3MsbGXcSMNZlDyu7nF4cZLP/hORt5y4hAYwiwFTE00yMOttFyS+uH6Mrg8IkYXpmFkQRrO9pcm/28DS1KjTSpFPbkkL+RehPEoZl4pURQxd+5cfPjhh/juu+9QXFzc7voJEybAaDTi22+/lS/bsWMH9u/fj8mTJwMAJk+ejE2bNqG6ulq+zZIlS5CamoqSkpLo/CJERDFkV1Uzvt1eDUEArp3q+9y9bupAzByRC6fHixsWrkVjqzo7ai8s/Q0A8Ptj+snNhDsjBeHK6rUXhFvl7wc3qjANyV1k8gVjeF4K+mYkweH24oedNWE/HuD7/t1WGflMOL1OwHB/kE/J4QwOtwc3LlyHBpsLY/qmyb3zmAlHRKSM5btr8Vt1CywmPc6f0BeXTuqHRKMOWyuasHJPnSLPsWpvHWpanEg3G3H84NjLuJF6wrUoWI76xvJS1NtcKM624Jxx4ffIEwQB6UnaLkkVRVEuRb3waF+bKGko17fbqlXbJ41HXq+ILzb7gnBnjOk8oYk6FzNBuJtuuglvv/02/vOf/yAlJQWVlZWorKxEa6vvoCotLQ1XX3015s2bh++//x5r167FVVddhcmTJ+PYY48FAJxyyikoKSnB5Zdfjo0bN+Krr77CXXfdhZtuugkJCQlq/npERJokZcHNKsnDwD7JAHzDDh67YCz6ZiThQF0rbn9/Y9T7w63bX4+Ve+pg1Au4dlrxEW9bIGfC2aOxtKCs8h+cHKtAKSrg24GWsuGUKkk9WN+KZrsbRr2AQf5tIFKkktStCvaFu/+Trfj1YCPSzUY8f+lRKPT3CKxt0eYBBhFRrHl9eSkA4LwJfZGSaES62YTz/AMCXv1pryLPIZWinjYqPyabv0sn2pQazNBsd+HlH337aLecNDjsLDhJusb7wm082IidVS1IMOjkDLgR+akYnpcCp8eLL/yZWRR56/bXo6rJgZQEA6bEYGBcTTHzCfbCCy+gsbERM2bMQH5+vvyzaNEi+TZPPPEEzjzzTJx33nmYNm0a8vLysHjxYvl6vV6PTz/9FHq9HpMnT8Zll12GOXPm4IEHHlDjVyIi0rTKRjs+8qf2Xzd9YLvr0sxGvHDpBJj0OizZWiXvCEaL1Avu3HGF8vTTrhRouBxV7gc3UJkgHBDoC/fd9iq4PeE3xZb6wQ3OSYn4gc8ohSekfrD2IP6zaj8EAXjyonHom2FGVrLvpFsNM+GIiMJ2oM6Gb/39uaQyVAD4w/G+E2Tfbq9CaZgtBvbVWrHYP/3y7BibiioxKzyY4fWfS9Fgc2FgHwvOHhteL7i2tD4hVcqCO21UHtL8WXsAcM4432vwEUtSo+YzuRQ1FwmG2OrRqLaYCcKJotjpz5VXXinfJjExEc899xzq6upgtVqxePHiDr3e+vfvj88//xw2mw2HDh3Co48+CoMh/BIgIqLe5rWf98LlEXHMgEwc1S+jw/Wj+6bhnrN8pfwPf7kDv5QqU3LSnZ1VzViytQqCAFw/fVC3t5emozY73Giya2ensrLRjtJaG3QCFOkHJzl6QAbSzUbU21xYs68+7MfbFoV+cJKRchCuMezsyq3lTfi/DzcBAP500hDMGJYDAMiWg3DaPMtPRBRL3l65D14ROH5wNgbnBLKlB/VJxgnD+kAUffsToRJFEfd9vAVOtxfHD87GsQqetIomi78c1apAT7imNllwfzppiNzHTQnScAYtZsK1Oj34ZIMvI/LCiUXtrpPKcVfuqdPsIK7exOsV8cUm/1TU0bHXo1FtMROEIyKi6Gmyu/CfVfsBANdNG9jl7S6d1A/njiuAxyti7n/WRSW76MVlviy4WSV57Xb4u2I2GZDp7xmnpb5wUhbcyII0pCYau7l1zxn0OpzoDzgpUZIqZcKVRLAfnGRoXjIMOgH1NhcqGkMvH25sdeGGhWvhcHsxfWgf3HLiEPm6rGTftlBrZSYcEVE4Wp0evPuLLzPpik4GJF0z1bf/8N6ag2gMMbNqydYqfL/jEIx6AfefMxKCoFzAKZqUnI762k+laLK7MTgnGWeOUTYzMMNfjqrFTLgvNleg2eFGUWYSjh2Y1e66gvQkOUD78QZlp/L2Nk12F17+YQ+qmkLfz1p/oAGVTXYkJxhw/BCWogaLQTgiIurgnVX70ezw7eCdODyny9sJgoB//G40Bucko6rJgT+9ux4eb+T6wx2os8k7VzfM6D4LTiJlw2mpJFVqVj1JoX5wbbXtCxduRlk0hjJIEgx6ObAaakmq1yviz+9txL5aGwrTk/DkReOga5MlkO0PwrEclYgoPB9vLENjqwt9M5I63Vc4blAWhueloNXlwTu/7A/68VudHtz/yVYAwLVTB0a8L2kkSdNRwy1Htbs8eOWnyGTBAZAHXdVrcIK4VIp6wYSidt/rknP9Jamcknpk/+/9X/GPz7fhj2+vhTfEfXZpKurMETlINLIUNVgMwhERUTtOtxf/9peOXDdtYKc7Om1ZEgx48bKjYDbp8fNvtXjqm52Kr2lHZTPu+mgTTn3yB7i9IqYMzsLYovQe378gTXt94QL94LK6uWXwpg3tA5NBh/11Nuysagn5cVocbuyrtQGIThAOCJSkbi4LbULqgh/24JttVTDpdXjhsqM6TM7NsvjKUTmYgYgodKIo4vXl+wAAcyb37zQYJAiC3BvujeWlcAXZp/TZ73ehrKEVhelJmHvi4PAXrSKLQoMZKhrtaLa7YTbpcUYEygADgxm0lQm3r9aKlXvqIAi+ASCdOW10Pkx6HbZXNstZ/NTe55sq8OUWXxnp+v0NWLhqX9CPIYqiPACDpaihYRCOiIja+d+GMlQ1OZCTktDjkfeDc1Iwf/ZoAMAz3/+GZTsPhb0Ol8eLT38tx4ULVmDWkz/g7ZX7YXV6MDgnGfedNTKox5KGM5RpZEJqdZMdew5ZIQjAMQr2g5NYEgw43j+p6mv/zlYodlT6+sHlpibIJb2RJk1IDSUTbvlvNXjkq+0AgPvPGYkxfdM73CY7xReEszk9sCnQm4eIKB79UlqPbRVNSDTqOvTnauvssQXITjahotGOLzb3/Ptoz6EWeUL73WeWwGyK7R7eFmkwQ5jfO3X+DLVMi6nbk6ShCAxm0NaJqvfXHAQATB3SB4XpnQ/kSksy4qQRvozMj9YzG+5w9VYn7vnfZgCBFiP/+nJH0GWpGw40oLzRDotJj2lD+yi+znjAIBwREcm8XlHe6f3D8cVBTTs6Z1whLju2H0QRuPXd9SFnnVU22vH4kp047qHvMPc/67F6bx30OgGnjszDf66ZhCW3TcOQ3OCGBBTKQThtZMKt2usrRR2Rl4o0s3L94NqSS1K3hd4XTjqTHK0sOAAYVejLhNtaHlwmXGWjHTe/sx5eETh/Ql9cfHTnB4UWkx4JBt/uD7PhiIhC88byUgC+EkCpmX9nEo16XHZsfwDAqz/u6VGLBFEUce/HW+DyiJgxrA9mjcxVZM1qkoKI4ZajSsGxSJ0Yy5Az4bTz/ejxivhgrS8Id+HEzrPgJOfIJanlEW2PEose/HQralqcGJyTjP/ecBzGFqWj2eHG/Z9sCepxpFLUk0bkshQ1RLF9SoGIiBS1dGc1dlW3IDnBgEsm9Qv6/nefWYKNBxqxqawR17yxBmeMyUemxYQMswlZyb7/ZlpMSE8ytjuDK4oiVuypxdsr9+GrLVXyjlN2cgIuOaYIv5/UD/lpnZ/57InCDG2VowZKUSM35e2kETkQBODXg42obLQjLy0x6MdQIwgnTWEtb7Sj3ursUE7aGafbixsXrkWt1YkR+an4+7mjumzeLQgCspMTUNbQipoWB4oyzYqun4iot6tstMslbZ0NZDjcZcf2x/NLd2PjwUas3Vff7UTwzzdV4sddNTAZdLj/7NgdxtCWVI7q8ohwur0wGULLhZEy4Y4U+AxHupwJp51y1B92HUJlkx3pZqN8grErJwzvg9REAyqb7Fi1txbHDeLQAAD4fkc1Fq8vgyAAD583BkkmPeb/bjTOevYnfL6pEt9uq8JJI7oPdouiiM85FTVsDMIREZHsxWW+LLhLJvULaWJngkGP5y89Cmc8/SO2VjRhaxc9OXSCb0cv02JCptmEWqsDuw9Z5euPHpCByycPwKkj80LeUW1LKkfVTBBOHsqgfD84SU5KIsYVpWP9/gYs2VaFy/2ZCMFQIwiXkmjEgCwzSmtt2FLedMSpWy0ONzYdbMS7v+zHuv0NSEn09Sfs7sxsdrIJZQ2tzIQjIgrBwlX74PGKOKY4s0ffD9nJCfjduEIsWnMAr/6094hBOKvDjQc/9Q1j+OP0QeifZVFs3WoymwLfSzanGyZDaEE0KTiWGaEseqkcVUuZcO/7BzKcO66w2wqNBIMeZ4wpwDur9+Oj9WUMwgFotrvwf4s3AQCuOq4YE/pnAABKClJxzfHFWPDDHtzzvy04dmCWHCzuyq8HG1HW0AqzSY8Zw1iKGioG4Yja+K26GelmE7KTE9ReClHUrd9fj9V762DUC7hqyoCQH6co04z/3nAc/ruuDLUtDtTbnKi1OlFv9f232e6GV/Sdza1rM33LbNLj3PGFuPzY/ooHfaTpqFVNdrg8Xhj16nVjqGlxYFe1b1jCMRGYjNrWKSV5WL+/AV9vqQw6COf1itju7wk3Ii+48t9wjSxI8wfhGuUgnMPtwfaKZmw82ICNBxrx68EG/HaoBW0rm564cFyPDtiy/J/xtVZOSCUiCobD7cE7q32TTq/sQRac5A/HF2PRmgP4akslDtTZusxCfvrbXahssqMoMwk3BjEFXeuMeh1MBh2cbi9aHO6QM9nq/MGxnmSJh0IqR21sdcHrFSPSdy4YdVYnlmz1tdU4Uu/Bts4d5wvCfbGpEg+cMyruSyYf/nI7yhvt6Jdpxu2zhra77k8zh+CzTRU4WN+Kx5fsxN1nlhzxsaRS1BOHcypqOBiEI/J75cc9+Ptn25CWZMTrVx2N8f0y1F4SUVRJveDOGVcYVuknAAzJTcHfThve6XUujxf1VifqbE7Utfj+6/GKOGF4TkjZdz2RbUmASa+D0+NFZaNd1RLE1f5+cMPzUiI+7ODkklw8/OV2rNxTiya7K6jXd3+dDTanByaDDsXZ0c1EKClIxWebKvDF5kocrG/FxoMN2FbRBJenY3+XgrREjC1KxznjCjGzmzIVSZb/da9hJhwRUVA++7UCNS1O5Kcl4pQefuYCwLC8FEwdko0fd9Xg9eWlnR7s76xqxqs/+aaz33/2yF53kJ+cYECd2xnWhNR6/8nLjAiXo3pFoMnuiljZa099uL4MLo+I0YVpKCno2QnaowdkojA9CWUNrfhue3Vcl02u3FOLt1f6guYPzR7dYcCJ2WTA388dhStf+wWv/bwX544rxOi+aZ0+liiK+Hwzp6IqgUE4inuiKOKhL7djgb8Mr7HVhUtfWYVX5kzEcYOZwkzxobTGKvd3uW7awIg+l1GvQ05qInJSg+9RFiqdTkBBeiJKa20ob2hVNQi3ao+/H1yEs+AAYHBOMgZmW7CnxoplOw7hrLE9m3YLBEpRh+WmwBDlzEFpQuqGAw3YcKBBvjzDbMSYvukYW5SOsX3TMKZvOvqkBJ+5LGXC1bQwE46IKBjSQIZLJ/UL+rvhD8cX48ddNVj0ywHcOnMIUtqcGBJFEXd/tBlur4iZI3Jx4vDYH8ZwOLNJjzqrr5VCqOojnAlnMuhgMelhdXpQb1M3CCeKolyK2t1AhrZ0OgHnjCvA80t348P1ZXEbMGp1evC3//4KAPj9MUVdHtfOGJaDs8YW4JON5bjjw1/x0Y1TOn1vby5rwoG6ViQZ9ThhWE5E197bcToqxTWXx4s/v79RDsDNO3kojh+cDZvTgytf/wVfb+n5KHWiWPbyj3sgir708qFBTh6NFXJfuEZ1+8JJk1EnDYxcP7i25CmpW4ObkhroBxf97WHyoCzMHJGLY4ozce3UYjzz+/H48f+dgHV3n4w3/nAM5p08FCeNyA0pAAf4esIBnI5KRBSMDQcasPFgI0x6HS4+JvjhTdOH9MGgPha0ONx4b83Bdtd9vLEcq/bWIdGow71nHbkkLlZZ/FlINkc4mXC+nnAZEeoJBwSy4dTuC7eprBHbK5thMuhw9tjCoO577njf7ZfuqJYnysabJ77ZidJaG/JSE3HH6SOOeNu7zxyB1EQDNpc14XV/oP1wn7UpRU0y9a4s1WhjEI7ils3pxrVvrsHidWXQ6wQ8cv4Y3HLSELxyxUScUpILp9uLGxauw4frD3b/YEQxrKbFgff9o98jnQWnpsBwBrtqa6izOuU+a5HuByeRgnDfb6+G0+3t8f22Sf3gojiUQZJg0OOVKybivesn4//OKMFZYwtQlGlWbEJeNnvCEREFTcqCO3Nsfkj9k3U6AVcf79vPeO3nvfIk9Ca7C3//bBsAYO4Jg3vt1GpLgi9wYXWGngkn9YTLjGCGmtQqQ+3g1aJffFlwp43KQ1qQQcehuSkoyU+FyyPKwaN4svFAA1750Zdk8o/fjeq2HUlOSiL+dpovUPf4kp0oO2yQmSiK+MJfinra6LwIrDi+MAhHcanO6sQlL6/C0h2HkGjU4eU5E3CBv9lnotE33XH2UYXweEXctmgj3lpRqu6CiSLozeWlcLq9GFuUHpUSSbVIQbjDdyyiSeoHNzgnOWoDYMb3y0B2sgnNDrfcTLsn1JiMGi1Z/ky4mub4PDtORBSsQ80OfPprOYDgBjIcbvZRhcgwG3GwvlWuOHliyU4canagONuCa3vxyUBp8qQ1jHLUhgiXowJAuj/gJWXdqaHV6cHHG3zbW08HMhzu3PG+FhwfrS9TbF2xwOn24v998Cu8InDOuAKcNKJnpd0XH12Eif0zYHN6cM9HmyG2mXy1pbwJ+2ptSDTqcOJwlqKGi0E4ijsH6204/8Xl2HCgAelmIxZec2yHvhMGvQ6Pnj9W3sm4+39b8Nz3v7X7MCLqDWxON95cuQ8A8MdpAxXLNNKiQv+E1LJ69YJwq/b6+sEdOzB6wU69TpBPMtz78Rbc+7/NcHmOnBHXZHfhoP91GpHXC4NwFmbCEREF453V++HyiBjfLx1j+qaH/DiJRj0uneSb1v3qT3uxtbxJzrC7/+yRSDD03jI3qRzVGuJgBlEUUW+TylEjF4TL0EA56pdbKtDscKNvRhImh9i+4+yxhRAE4JfSehyosym8Qu167vvfsKOqGVkWE+49a2SP76fTCZg/ezSMegHfbq/GF5sDbZmkLLgThuV0GO5AwWMQjuLK9somnPfCcuw5ZEVBWiI++ONkTOjf+RRUnU7AvWeV4JYTBwMAHvlqBx76cjsDcWE4UGfDu6v344tNFbCFkYpPynnvlwNosLkwIMuMU0b27vTywnRfeUu5iplwK/f4+8EVR6cfnOQvpwzDLScNAQC8sWIfLnl5Jaqbuy7L3V7hK0UtTE8KugQkFmSn+A4w6qxOuRyKiIg65/J4sXCV74TdFZMHhP14cyb3h1EvYM2+etywcC28InD66DxMG9on7MfWMrO/HNUWYiZck90tf2elR/C7Weo312BTLxPuvV98bVIumFAEnS60E8R5aYk4bpBvf+vjjeWKrU3Ltlc24bnvfwMA3Hf2SLm0uKeG5Kbgj9MH+e7/8RY02V2+qaibfAG50+J0yIXSGMakuLF6bx2ufuMXNNvdGJqbjDf+cAzy05KOeB9BEDDvlGFISTTiH59vw4Jle9DU6sbfzx0FfYhfCPHE5fFi7b56fL+9Gt9ur8Zv1S3ydYlGHaYP7YPTRuXjxBE53fYqIOV5vSJe+WkvAOCaqQN7/TZd4M+EK29ohSiKUc/6a7S5sL3SV+I5KYqZcIDvpMK8k4didGEa5i3agF9K63HWMz/h+UsndHoiQipFHZ7XO4d0SL10vKLvTH+0SoOJiGLRV1sqUdXkQHZygiKTJnNSE3HWmAIsXl+GfbU2mE163H1m7xzG0JacCRdiEK7e6vQ/jh6JxshlDKo9mGF/rQ0r9tRCEIDzg5iK2plzxhXi599qsXjdQdw4Y1Cvrvhwe3xlqG6viJNLcnHmmNDeqzedMBif/lqBvTVW/OvL7bjkmP7YW2NFgkGHk1iKqggG4SgufLWlEje/sx5OtxcT+2fg1SuODiq749ppA5GSaMAdH27CO6v3o8XhxuMXjoUxyNHs8aC2xYGlOw7hux3V+GHnITTbAzsaep2Ao/qlo6rJgf11Nny1pQpfbamCUS/g+MHZOHVUHk4uyQv6rA2FZk+NFQfrW5Fo1OH8CeHt5MQCqSec1elBU6s76hleq0vrIIrAwGwLclISo/rckpNLcvHR3Cm4/q21+K26BRe/tAL3nz0Kl0xqP+WuN/eDA3wtBzLMRtTbXKhtYRCOiKgzoijiULMD//afsLtkUj+YDMrs+/7h+GIs9vfquuWkId2eGO8N5J5wIZajSkMZ0iNYigqonwn3/lrfQIbjB2ejMD287eLUUXm4+6PN2H3Iii3lTRhVmKbEEjXp1Z/24teDjUhJNODv544KOeCYaNTjH+eOwiWvrMLCVftxoM5XQTJjWB95G6bw8FWkmNPicOOlH/bA5nDDZNAhwaD3/1eHBKMOJr0OCUa9/7867KpqxkNfbIdXBGaOyMEzvz8qpLHKFx/TD8mJBty2aAM+2VgOq8ON5y89KqJnorREFEU4PV443V44pB+XB06PFy12N1bsrsV3O6qx4UAD2lbsZpiNOGFYDk4YnoNpQ/ogzWyEKIrYWtGELzdX4ovNlfitugXf7ziE73ccwp0fbsak4kycNioPs0bmISdVnWBFPNjaJtASD9txolGPLIsJtVYnDjbYkGaO7o7Yqj2+fnCTQuxtopRBfZLx0U1TcPt7G/Hllkrc+eEm/HqwAfedPVLeDnp7EA7wTUj1BeEcAHpnxh8R0ZGIoojGVhcO1LXiQL0NB+ps/v+24mC9DQfrW+HwT9U26ARcetgJm3CMKkzDzScORmWjHX+YUqzY42qZxX/8EWpLFmkoQ6RPVktDH+qs0c+E83hFfLDWV4oa6kCGtlITjZhZkovPfq3Ah+vLel0QThRFVDU5sHZfPR5fshMAcPcZJcgN8/jpuMHZOO+ovvjvuoNYtvMQACiSBUs+DMLFOVEUccbTP6GqyY7PbpmKvDTtBzz+u/Ygnv52V9D3u2hiEf7xu1EwhJG9duaYAlgSDLjh7bX4bns1blq4Dq9eeXTIj9eZt1buw0s/7Ib3yH3To8Lh9sLp9shBt54akZ+Kk4b7Am/jitI7lDkKgoCRBWkYWZCGP58yDL9VN+OLTb6A3NaKJizfXYvlu2txz8dbMLIgFaMK0jCyMA2jClIxPC81pCAqdbS13BdoKenFgZbDFWYkodbqRHmDHSMLorsjtlKFoQxdSU4w4IXLjsILy3bjka924N1fDmBbZTNeuPQo5KYmYkeVryfciPzeG5zKSjZhVzVQo8JBBhHFD69XREWTHXsPWbG31oq9h6yobGqFyyPC4xXh9orweL1we0R4RenfItz+680Jejx83hgMzVXu87imxYGbFq7D1vImNHdTGqkTgPy0JFx2bP+wD+wP9+dThin6eFpn9mcRtThCzITzTyuNZD843+OrV4760281qGi0I91sxCkjezbVszvnjivEZ79W4OON5bjz9BGKt19Zu68OP+6qgd3lhUM6bvL/f7vL/AkMRr0O/bLMKM6yoH+WGcXZFgzItiDLYuo2e62qyY5NBxuxqSzwc6g5MGRq6pBsXBBmCa/k/84Yge+2V6He5oLJoOvxlFXqHoNwcU4QBNS0OFBrdaKmxRETQbhd1b6Dw4n9MzC6b5r8Qef0BDKzpA8+p8e3U3POuEL8cboykx9PGJaD1686Bhe/tBLfbq+G1eFWNDV34cp9ctqvlsnZhwY9Egw6jMhPwYnDc3HC8D5BlxQMzknBzSel4OaThmBfrVXOkNtwoAGby5qwuawJ+MWXmq4TgME5yf4gXipGFqShpCAVaUnsKResLeWNABD1YJSaCtKS8OvBxqgPZ2iyu+SgZ7SHMnRFEATcOGMwRhWk4eZ31mPjgQac9cxP+PMpw2B3eZFk1KN/lkXtZUZMlr8EtaaZE1KJKHRerwiPP6Nsb4018HPI99/SWmtQJzI78+mvFZh3snJBuJ921WDV3jr539nJCSjKTEJRhln+b1///+enJSlWghrvksMczBC1TDgVy1E37G8AAJw4PEexSbnTh/ZButmIQ80OLN9dg6lDlBsAIooirn5jTdCv1aayxg6XpSQYMMAfkBuQZcaALAtSEg3YWtEkB96qO9ln0QnAkJwUTBiQgXknD1Ws712mxYT7zh6JP727AWeMzkcyS1EVw1eSkJWcgOpmB2paYuNAZF+tb8T0hUcXKZKmHIpJxZkQBEAUoXgQrsX/xfzI+cqe9QxFoMw3UN6bYPCV/EaqsWn/LAuunz4I108fhMpGO9btr8fmskZsKW/ClvJG1LQ4sbOqBTurWvChv5cIAPTLNGPGsD648/QRcVFaGS5RFAOZcAXxkwkn9YWLdhBuTWkdvCLQP8usuZMd04b2wac3H4/r3lqLbRVNuPPDTQCAYXkpvXpYR7b/IKbWGhvffUQUvt+qW7CprAFWhwc2pxtWhwdWhxtWZ/t/25y+yxxuDzyeNtlp8n+98Pj/vycDlo16Af0yfRkvxdkWFKYnIcGoh14nQC8IMOgF6HUCDDoBep3O/18BH6w9iI83lqPFruxEeSn7bfrQPnjxsgmsMIgSs0nKhAvt7ymVh2ZEvCeceplwLQ5fMCtLwUCjyaDDmWPy8fbK/fhwfZmiQTi7yysH4K48bgDMJj0SDHokGgPHUG2TFhKMOthdXuyrDQTpS2tsKG9sRbPDLWe3dUVKRhhdmI7RhakY3TcdJfmRqxI6Z1whxvRNR77G9l1jHYNwhOxk/4FIS2yU5OytsQIAirPVy9AQBAEWkwEt/h03Jdn8jze2KF31IJza8tIScfrofLkHgSiKqG52tAvKbS5rQllDK/bX2fDmin0oq2/Fi5dP4NCMbhxq9mXA6gRgWBxtZ9KE1INRDsKt2uPLOJhUrH4pameKMs1YfMNxuGPxr/hoQzmA3t0PDoA8jCFWvvuIKDw2pxtnP/uTvJ+lNEEACtOT5ECbVGI20B90C6UdyqayRmBj6NM0uyI9XlayiQG4KLJImXAhboNSUCzSQTip3NXh9qLV6YnqNiKV6iYnKFvhctooXxDul9K67m8chGa7LwCnE4B7zyoJOUnB7vJgf53NF5irsaK01obSGisaW10Ynp+C0YVpGNM3DSPyU+VgbrSoeczdWzEIR4EDkRjIBnC4PXIGS/8ss6prsSTofUE4hXeMpLNjnD7TkSAIyE1NRG5qYru+BA02J37cVYPb39+Ib7dX47ZFG/DUxeN7dRZPuLb4G+8P7JMcVzvgfTPUyYRbuUfqB6eNUtTOJJn0eOKicRhblI53Vu/HeUcVqr2kiJLLUWMkC5yIwlPV5IDN6YFRL+DE4TmwJBhgMRlgTtD7/mvS+y5LMMBi0sNsMiDBqINRp/NlqekF6ARBzlILZK/5rvdlvij7fSo18m8JsZF/V6R9V0uUD+bjnfR6W0P8e9b7e8JlWiLbgiU5wQCDToDbK6Le5kSSKXqTa+VtM0HZ95LUz7BR4RLbJn8QLjXJGFaVUKJRj6G5KXGfgBEv+MlLcrpvTQxkAxyoa4VX9O2U9PEfQKnF90XqUDQI5/JPH/U9fvwERsKVbjbhrLEFSE404Lo31+DTXytgMRkwf/Zo6BiI65RUijoyjkpRAeXKUT1eEaIo9iizocXhxmapH5yGg3CAL9B91ZRiXBUHk+qykmPnu49iS1lDK9aU1mFNaT02lTXizDH5uGbqQLWXFfcaW30HyzkpiVhw+USVV9Mz0glZ5TPhPO0en6Ij3L9nnZQJF+GecIIgIN1sQk2LA/U2p7zvFA1SMoLS/cdSk3yP1+xww+sVFTs+aGz1rTc1kb2pqef4yUvITomdbIB9tb5S1P5Zloj1JOsp6YtUybKGto8V7VTj3uCEYTl46uLxmPufdVi05gDMCXrcc2boqeG9WTxORgUCQbjqZgecbm9IzabrrE6c8sQy2JweHFOciSmDsjF5UBZK8lM73albU1oHj1dE34wkFEZxR5aOLJaywEm7PF4R2yubsKa0Hmv21WNNaR0qGu3tblPR2MognAZITe0jPVlSSfK+ZojTNLtilQMdPOEbTeH+Peuj1BPO9xxG1LQ4oj6cQQ7CJSochPMHyUTRl1mqVNAskAnH4zbqOW4tJGfCxUJfnFL/UAYt1KabpRIBBc9OSjtFJr2Ok6hCdProfDx83hj85YNf8drPpUhJMGDeKcPUXpbmbK2Iv6EMgO/zzmTQwen2orLRjn4hlLX/uOuQnD21dMchLN1xCIDvwG7ywCwcNygLkwdlY1Af38kCaQKdVqaikk+s9UOlyKltcWBPjRUujxcQAanPvigCov9fov9CEYDL7cWW8ias2VeH9fsbOuwH6HUCRhWkYlCfZCxeX6Z4AIVCI2XCxWIQTsl9TSBQ3spMuOiSqlysTjdEUQz6JHG9PyAWnSCcOsMZrBFqy5No1Mv7f02tLuWCcP7PFWbCUTD4yUtyNkAsZMKV1kiZcOr2gwPaZsIpt2MkPZaZZybDcsHEIticHtz78RY8/d1vsCQYcP30QWovSzNaHG6U+rNK4y0TThAEFKYnYW+NFWUNrSEF4dbuqwcAnDkmH+OK0rF8dy1W7alFg82FLzZX4ovNlQCA3NQEHDcoGxsONAAAjh2ozaEM8UrqCWfzT0Vk9nHv1+JwY2dVM3ZWNmNHVTN2VDZjZ1Vz2CXJKQkGjO+fgYn9MzBxQAbGFaXDbDKgstHuC8K5PCEdcJOypCBcWlLsHCxLmWqh9hDrCnvCqcPsP3bwir6pmsH05BVFUc7mzIhwTzggEKyuVysTLgIB4tREX3ZfU6sbyFDmMZvsLEel4PGTl2JqQpwUOBiggUy4QF8H5c5wyz06uFMUtiuOG4AWhxuPfLUD87/YDkuCAZcd21/tZWnC9oomiCKQl5ooByLiiRSEC7Uv3JpSXxBOmtx7zdSBcHm8+PVgI1bsrsHy3bVYs68eVU0OfLi+TL6flocyxCOLSY8Egw4Otxe1LU6YM/m525s43V58vbUSW8qb5KDbwfqu3/OF6UlyI3ABAtrGy6TgmXSRTgcMzE7G0QMyMKF/JoblpXQ6CEg6oebxinC4vUg08gSbmqSyurSkyGcRKSVSPeFs7AmnCnObzwCr0x1UEK7Z4Ybb60vJjWYmXINVpUy4CBwLpSUZfEE4u3KBRTkTjuWoFARuLSQ3p661OjR/plYOwmVpIAgnpZRHoBxV6YlA8eqmEwajxeHGC0t34+7/bYYlQY/fje+r9rJUF6+lqJKCdN+ErFCCcC0ON7ZX+l6/Cf0Dp1GNeh0m9M/AhP4ZmHviENhdHqzbV+/Lkttbi5L8VHkyK2mDIAjITk5AWUMralocKMpUP8OalPPC0t144pudHS7PSUnAsDzfBLpheSkYlpuCIbnJEcmEbHvAbXN6GIRTWSAIFzsZK/I0TYVLmlu4v6kKnU6A2aSHzemB1eGWEyF6QuoHZzbpo/JZkm5RNxMuReGecIBvgikQCJwpQe4Jx0w4CgKDcIRMf084l0dEU6sbaRrtleF0e1HmP4s9QAPlqGZ5zLiCmXD+x2JZlHL+36xhsDrceHPFPtz+/q9IMhpw6qg8tZelqngdyiCRJ6Q2Bh+EW7+/Hl4R6JuRJI+770yiUY/jBmfjuMHZIa+TIi872eQPwmk/E5yCc6De10P2mAGZOHNsvi/olpsS8amCbRn0Ojnb0upwy/tbpI5Y7gnX6vLA4xU7zbgMhVTeGomSPzoys8ngD8IFd/xQF8WhDG2fpyGKPeHcHi/sLi+AyGRpSoEyqYRUCU3SdNQYCu6T+tj5nZBo1MtnG2o0PCXuQL0NXtF3BqhPivoldHKfjghkwnGnSDmCIOC+s0bivKP6wuMVccs76/HDzkNqL0tVzITzBeGOVJrWFakUdWJ/hZqJkKqy5HYM2v3uo9BIPVbPGJOPOZMH4NiBWVENwEmkIU6tLg5nUFtjq386agwdLLfNVFOyL1ykmt9T96Tjh2B7SkuZnNHoBwf4pqMC0R3M0DYwGYkszchmwvG9RD3HIBwBiI2+cPtqpaEMFk2UzErNVRXdKZIGMwTRI4K6p9MJePi80ThtVB6cHi+ue2sNfimtU3tZqnB5vNhe2QwAGBmnQbi+UiZcCOWo0lCGCQM4ZKE3kCekRrnnDUWeVSM9r+SseYV7elHwYrEcNcGgh1Hv2+dVchtq4WAG1UifCcFOvI12Jly6PB01euWo0tRek16HBEMEgnD+QFlkesLFzucKqY9BOAIAZPnPDmt5QureGl9pSXG2+qWoQJvpqAr26WCj3Mgx6HV46uLxmD60D+wuL/7w2i9YsbtW7WVF3Z5DVjjdXiQnGFCUoY33UrTJ5agNdoii2OP7uT1erN/PTLjeJCuGpoNTcKQsE4vKJ7UsctYLM+HUJk9HjaFyVED54Qwer9im5I8nfaNNqnYJ9jNBykiLVhBOKp+PZjlqpHtjS4GyRkUz4TgdlYLHIBwBaDOcQcMHIm0z4bRAHsygYCYcG+VGlsmgw4uXTcCxAzPR7HBjzr9XYfG6g2ovK6q2VjQCAEbkp0CnUG+ZWJOX5uvl1uryyJkRPbG9shlWpwcpCQYMzU2J1PIoigInoJgJ19tImXBmZsKRX4PUEy6GpqMCyg9naLvfypO+0WcOsZ2NFISLVm/JQDlq9DLhmu2RLZOWe8K1Kvd53MxMOAoBg3AEIFCOquUDkdJafyacRoJwkdixDpy5505RpCSZ9Hj9qmNwxph8uDwi5r23EU8s2RlURlQsk4YyjCxIU3kl6kk06uXPvLIgSlKlUtTx/TMUa45N6spmT7heSyuZcOwJpw2iKMZwJpyyPYilxzHoBCQYeCgYbZYQjx/qrNEdLCKVozbZXfB4o7OPHOne2KlJEShH9T9WJKa5Uu/FT14CEBslOaU1UiacNkroQk0nPxJpOirPTEZWolGPZy4ejxtmDAIAPPXtLvz5vY1wuEP/W4qiiCVbq3Dbog34fke1UktV3JY4n4wqKUz3ZcOFEoRjKWrvEQv9UCk0LQ5tTBs3K5zFRKGxu7xwun0lmLE0mAEI7BMG20OsK22HMmihx3K8kYOqQR4/NEQ5E056n4iisuWbRxLxIFyisoMZRFHkdFQKCY/0CUCb5tQaPRBxur04WO/LhBuQrZFMOP+XqFI7RUDgy4eDGSJPpxPw11OHo1+mGXd9tBmL15ehrKEVL10+Meiz5NsqmvDgp1ux3N9j7sP1ZZg2tA/uOmOEpsoWRVGM+8moksKMJGw82BjUcAYG4XofqRWDlk9AUWjkTDiV2ztYQpyESMpq8E9GNeqFmNvHSlZ4EJgUoFY7SzReSYH5YD8Toj2YwaDXISXRgGa7G/U2Z1SCfy0RntorT0e1K/Necri9cHp8wX1OR6VgMBOOALTJBrBq80DkYL0NXhFIMuqRk5Kg9nIABNLJFc2E42CGqPv9Mf3w2pVHIznBgFV76/C7F37Gfn/pc3cONTtwx+JfccbTP2L57lqY9DqcUpILo17ADzsP4bSnfsRdH23STKlbRaMdDTYXDDoBQ3KT1V6OqgrSgpuQWtHYirKGVuh1AsYWpUdwZRRNUhCuzuaMWrkNRZ7XK8rfzcyEI6DNUIYkY8xlf1nkaZrKbEO2CAc66MgC5cXaHszQ9rmiNZyhJcKZcNJkZKUy4aRSVJ3AVkIUHAbhCID2m1Pv8wdF+meZNbPzZIlgJhx3jKJr2tA++OCGyShIS8SeQ1b87vmfsc4/BbMzdpcHLyzdjRMeXYp3Vh+AVwTOGJ2Pb/88HS/NmYglt03HrJG58HhFvL1yP2Y8shQLlu0Oq9xVCVI/uME5yREZ/R5LpAmpPS1HXVPq2x5G5Kfw/dmLZJpNEARfuU19FCfAUWS17b8WqYO5npKyrmwuZsKpSRrCkxaDJWNS5YVNof3NSGcb0ZGFOu1WGpCQYYneNiwNZ5D60UVa5MtRle0JJ5WipiQa43bYGYWGQTgCoP2ecHv9/eCKNVKKCgTOeDjdXrj8qcjh0koj6Xg0PC8VH940BSMLUlFrdeL3L63E55sq2t1GFEV8vqkCJz+xDA9/uR0tDjdGF6bhvesn47lLj0JRpq9f4YBsCxZcPhHvXHssRhakotnhxvwvtuPkx3/AF5sqVBsCIfeDi/NSVKBtEM7eo9sHSlEzI7Ymij6DXief6ddqOwYKnlS2JwhAolHdXV3p+9zGTDhVxXIQLjnEoE1XpPeH2gHqeCUPZgiiHFUURdRHuRwVCAxniNZJqpYIVwRJ5agtDje8CmS/S8E8aeADUU8xCEcAgD7+IFyz3a16tk5n9tVKQxk0FIRr8wWhVEmqVSPlM/EqNzUR710/GScNz4HD7cWNC9dhwbLdEEURmw424qIFK3HjwnU4UNeK3NQEPHbBWPzvpik4prjzwMzkQVn4eO7xeOT8MchJScD+OhtuWLgOF720EpsONkb5twO2VvieM96HMgBA34zgylHX7KsDAExgP7heJ5AJrs2TUBQ8m9zzSv3G82aF+3lRaKTys/QoBjCUEhjMoMy+ZiDQwRO+apCyY4MpR21xuOH2B42iW47qC1pFrxzV9z5NjtC2KU0wFUWgWYGgtvS5Ig18IOopBuEIgC+Cb/Cn0UqNP7Vkr78ctThbG5NRAcBk0MGo971mSo+N59lJ9VgSDHhpzkRcMbk/AGD+F9tx7nM/4+znfsLq0jokGnW45aQh+P72GThvQt9u08/1OgEXTCzC97fPwC0nDkaiUYfVe+tw1rM/Yd57G6L6fuNQhgApE+5Qs6PbEw9WhxvbKpoBABMHMAjX23A4Q+8jBby00IBfyoRrVbB/LAVPGswQa5NRAeUz4eSecDzhqwrp7xnMYIZ6fzloklGPpCh+rgUy4aJVjur7nEyO0JCDBINezo5Woi+cNOCBQTgKFoNwBAAQBCFwINKsvSCcFjPhgNAnHHVFno7Ks5Oq0usE3H/OKNxzZgkEAdh4sBGiCJw7rgDf/XkG5p08NOhsRUuCAfNOGYbv/jwD544rAAAsXleGh7/YHolfoYPGVhcO1Pmyvkbmp0XlObUsw2yUd8QquilJ3XCgAR6viML0JOT7BzpQ7yEPJmI5aq8hZadroedVklx6xiCcmqRy1NQYDMJJweQWhfc1tfD+iEfmEDIb6+ShDNHdftUazBDJbVMKmDUqEYRrZTkqhYZbDMmykxNQ1eRAjcYmpLo8Xhys9wUPtNQTDvCdzWpsdSky9UwURXknnZlw2vCH44tRnG3BZ5sqcOmkfhjfL/wsqIL0JDx58XhMHJCJuz7aLPc7jLRt/iy4wvQkpEV5J06LBEFAQXoS9hyyoryhFQOO8NkiDWVgKWrvlK3xnqgUPOlATkuZcEo11afQNMrlqLH3/ScFJJQbzKCdIHU8kkotg8qEk4JwluiWU0tDIOp7yWAGwBeIr252KDKcQe4Jx0w4ChI/fUmWpdFsgIP1rfB4RSQadchJSVB7Oe0E+jqEv2PkcHvh8fd70MKBA/mcMDwHJwzPUfxxpZLQnk7nDNdWDmXooNAfhOvubyD1g2Mpau8k9YTT2ncfha5tTzi1BXrCMRNOTQ1SEC4GM+EC5agK9R+WAx3c11SDVEkRzN9TGsqQGeUgXPQHM0S+VFqekNqqRE84fzlqDH6ukLpYjkqybI02py71l6IOyLKo3mD5cEruXLcd7sDBDL1fob8nWWWTHW6FpuseidwPjkMZZNLfoPwI5ager4gN+xsAMBOut5JPQGksC5xCJ/eE00CQwSz3hGMmnJqksrFYzAQPDGZQKBNO7pnIfU01yNNRg/h7Sj3Zoj1YJDCYITqZcNI2HqmecEAgYMZMOFITg3Aky06RMuG0dSBSWhMIwmmNdBZRiUw46TGSjHrou2n2T7GvT3ICTHodPF4RlU1H7kmmhC3+TLiRzISTScMZyhpsXd5mZ1Uzmh1uJCcYMDyPr11vlC0PZmAmXG9h01DPKzljnplwqpKCCOlJsTcdVd7XVCiQa+MQMFVJU2lbXR65AqY7ciacSj3hopUJF5VyVH/ATJHBDOwJRyFiEI5kWi3J2eefjNpfQ5NRJXJKuQI7RtJjcGR8fNDpBOSnJwI4ciaWEpxuL36r9k33ZDlqQEEPMuHW7PP1gxvfL53B8V4qiz3heh0p4GXRQGsHKeuFPeHUJU1HjcWysVDKF4/Eyp5wqmr7ure6evY3lQYzRDsTLr1NJpwo9ixgGI4WexQGM/gDZtJk03BwOiqFikE4kkkHIoc0diAiNa4v1mQmnLRzHf6OkbRTxPKA+FHYg0wsJeyqbobLIyItySg/JwEFchC0655wa0t9/eCOUmAoB2mTlAmntRNQFDqbhsrtpJJYm8sTlYNY6lyjLXYHMwR6wik1mIEnfdWUYNBBOqfX07+pNJ002j3hpEw4p8fbrm1OJHi90RlQl5YUiUy42PtcIXUxCEcyrR6I7PP3hOuvwSCcPDZewXJUnpmMH3I5ZH1khzPIQxnyUzXXV1FNfdN92bVlDa1dHhxLmXAcytB7SdNRW12eoKbVkXYFMn3UDzJIgUBRBOyuyPf/pI48XlHOWInFwQzSfmEw5YtHIlVesBxVHYIgyH/Tngbh6qzqTEc1m/Qw6X3hgkiXpNraZAVGpRxV0Z5wfC9RcBiEI1m2BptTuzxeHPAHKIqztReEk8fGK3DgJj2GFspnKDoCmXCRDcJt4WTUTuWmJUAQfJOJpR3ctqqa7DhY3wqdAIxnJlyvZTbpkWj07Q7VNGvrJBSFRjqw1UImXJIx8J2uVE8vCk7bjJdYzFhpG0xWpP2Jht4f8coSZIlxvdW3DWdEOZNTEIR2JamRJG2XOgHyd3IkyIMZFJyOmsJyVAoSg3Aky2qTCedV4EybEsrqW+Hxikg06pDjHxyhJfKXqAIp2i3s0RF3CjOkIFxke8JxMmrnEgx69PGffOgsELqm1JcFNzwvlRkDvZggCMiy+PvCaegkFIXOpqGecHqdIAfilGhdQcFr9AfhkhMMMOpj79AnwaCHUe/LYldmEFjkS/7oyMxBDtuQstAyotwTru1zRjoTrrlNP7hIVm1EJBOOgxkoSLH3TUQRIx2EuL2iIh9MStgrlaJmWqDTYFN0i4LTUW0czBB35Ey4+sj1hBNFEduYCdelwHCGToJw+3z94FiK2vtptR0DhUY6sDVrJMhgUXi6JQWnwR+ES4vBLDiJUsMZPF5RHgbA/U31JAdRSSOKohwAi3ZPOCDQR7E+SplwKRH+3JYHM4TZE87u8sDp9vofM3Y/W0gdDMKRzGTQyTXtNRo5ENnnH8owQIOTUQFlJ1ZxMEP8aVuOGqmG3QfrW9HscMOk12FwTnJEniOWHSkbca2/H9yE/gzC9XZyOwaNDSai0Ng0lumT5M/Ii3Rjc+qc1NQ+loNwSg1naBsIZuWFegI9pbv/TLA6PXB5fPuIamTCSYG/hghnwkWrN7acCRdmEE7K3BMEIJnHbhQkBuGoHelApEYjByKltb4MoQEaHMoAKJsJJz2GVg4aKPLy/dM57S5vxM4wbilvBAAMzUuOyTKcSCvsIhPO5nTLvfQmDsiM+roouqR2DFr57qPwyJlwGihHBQKtKzj4Qx1SOWosTkaVKLW/Kd3foBOQYOA+gVrkTLge/D3r/T1rE406OaAfTelSOao1splwzdEKwkk94ezhvZekqrGUBIMmq7VI2/jpS+0EsgG0kQlXWitlwmk0CKfgjrXWDhoo8hIMernXYaQmpLadjEodFaT5AqGHv/4bDzTC4xWRn5YoB+qo98qST0Bp47uPwiP3hNPISS3pe12JrHkKXu8Iwvm25Zawg3BS1YWe09JVZA6ip7Q8GVWFLDjf80rlqNHJhEuJ8KRRqeqrxeGG2xP6xGopk46lqBQKBuGoHXk4g0aaU+/zZ8L1z9JmOao8YlyBEhMbBzPEpQK5JDUyfeE4lOHI5J5wje2DcGv9/eBYihofsizSdx+DcL1BYPqjNk5qKTlJnYLXaIv9nnByOWqY2xCrLrQhmMxGNYcytH3eqJWjRri0s+0k03CC2lImXSono1IIGISjduSSnGb1g3BujxcH6nyBiWKtZsIpWI7aIg1m0MhBA0WH1JPsYIQz4UYWpkXk8WNdV4MZ1vj7wU1kEC4u9PFnpGrhu4/CF62DuZ6Sp6OyJ5wqAoMZ1AliKEGpbMpo9d2iI7OYeh5UVXMoAxC9wQwtUUpGMBl08mdyU2sYQbhWTkal0DEIR+3IPeE0kA1Q1tAKt1dEgkGH3JREtZfTqcBgBgWmo0pn7rljFFf6ykGgjoMBwlVvdaK80fe4w/NSFH/83qCvPwha0+KE3T8xzusVsU4eysB+cPFAmg6ulSxwCp3XK8Lmfy+bNTL9kZlw6mroBZlwFoUGM7QwCKcJ5iD+nlIvNrXKqaOVCdfi8P2eyVH43E6T+8KFHliU7stMOAoFg3DUTpaGJsTtlSajZlk02/AyMGLcE/Z0S6vGprlRdASmcypfjiqVovbPMrdLv6eAtCSjnGEgZcPtqm5Bk90Ns0mPEfkMXsYDuRUDe8LFPLvbA+nrWCuZcOwJp67e0BNO6emo3NdUl1T1YuvBZ4LamXAZFt/7pi7i5aj+46AI94QDAtlr4UxIlbLo2BOOQsEgHLWTbZEmxKl/IKL1fnBA4Cy72yvC4Q69uSfAwQzxqiBNCsIpX47KoQzdEwShTUmqL2twjb8f3LiidBg4UTYuSFngdTYnPN7wTqiQuqQDOUEIlIGqTco6anUxCKeGxlbfPm16DB8sBwYzhFuOGhjMQOqxBNHjTxrMkK5STzjpeRsiPB01mlmaUvYaM+FILTy6oHayUzSYCafRfnBA+7Ps4fZ60do0N4oOORMuAj3hpEy4kQUMwh3J4X3h1payH1y8yTAbIQiAKAYOeCg2SSWfZqNeM1n0UjBQidYVFLxeUY5qUmYb4mAGbQj0lO7+2EHafjNVLkdtdrjhCmOaaHda7NHbNqXsNfaEI7UwCEftyBPiNJEJFyhH1Sq9TkCi0fc2UqxPh0bKZyg6pCBcvc2leL+gLeWNAIASBuGOqDC9fTaiNJRhwgD2g4sXBr1OPtBgX7jYJmf6aCjIIB1wczCDOqRy1LQYLkcNJnPqSDiYQRvMQQxmkE4MZahUjpqW5DtJBQQCgpEQzVLpVH/Ja2M45aicjkphYBCO2pF6wjU73HKTcrVI5agDNFyOCgQ34ehIbPKOEUsE4klqohEp/p2Bwyd0hsPu8mD3IV8guySfk1GPpDDdN/ilrKEV1c127K+zQRCA8f3S1V0YRZWWTkJR6GwanDSu5BAnCo4oivJ0VLXK+ZSg3GAGVl1ogdxTOoiecBkqbb96nSAHmiI5nCGq5ahKDGaQM+EYhKPgMQhH7aQmGmDy90CqVbEkx+3xYn+dPwin4XJUoO2OUehBy3bT3JgJF3ekTKyDCpak7qxqhscrItNiQm5qgmKP2xu1LUeVSlGH5abw7GackaeDa6AdA4XO6tTed6l0co094aLP7vLC6e/ZG8vlqMkK7Gv67q+9IHU8knrytfRkOqrKgxkAX8sG31oimAkXxVJpuSdcWJlwUk847XzXUOxgEI7aEQShzZQ49Q5EyhvscHtFJBh0yEtNVG0dPWFWoE9HqyswzY19OuLP4eWQSthSHugHJwja6IukVe2CcP5S1IkD2A8u3kjffVoYTEShs2owqzzJyEw4tUjlZgadENOBp8BgBmWmozITTl1yJlw3VTSiKKLePxBBrXJUIJBFWh/JTDh7NDPh/NNR7Ur0hIvd4D6ph0E46iBwIKJeEG6vvx9c/yyzZhord8XSwy/SI5F2inQC5B5zFD+kvnBKlqNyMmrPSUHQ8kY7fpGCcP3ZDy7eSJlwWhhMRKGTAl1azIRjT7joa/BPRvX1tdL2/uSRSAHEcHvHcjCDNpjlHn9H/kywOT1w+ochZKjY01B67miUo8ZOJpxvvSnMhKMQ8GifOgiU5KiXDbBPDsJpuxQVUKYcVbqvxWSI6Z1ECo2UiaXkhFRpMiqHMnQvLy0RggA43V5sPNAAAJjAyahxJzuZPeF6AynQpaUgQzBN2ElZjbbYH8oAtM2EC7cclT3htEAKqjrd3iNOHJWGMiQYdPKUZTVkyJlwkSlHFUVRDkhGdTqqEj3h2LqEQsAgHHWQZZGyAdQ7ENlbI01G1fZQBqDN2PhwMuGkM/caKp+h6FG6HNXrFbGtIlCOSkdm1OuQmxIoe89JSUBff3YixY8s9oTrFaTvYrOGSg/lnnDMhIs6eShDjJeMJSs2mEF75drxqG2m7pGGM7QdyqDmSfpIl6PaXV54vL6+PNHYNqX+kE2tob2fHG4PHP5ekyxHpVAwCEcdZGugHFWejKrxoQyAMplw0pl7i4bKZyh6pHJUpTLhSmutsDk9SDTqUJydrMhj9nYF6YEg3MQBGcxIjUPSdNQaFYcSUfhsGsz0MRuVaapPwZMz4WL8QFnanltdHjlYEQobe8JpgsmgkwfhtRzhJL6UeaZmPzigTTmqNTKZcG17HUbjWEguRw0xE67ZX4oqCEAK30sUAgbhqAMt9MUplTPhYiAIp8BgBmsUx3KT9vT1Z8JVNtnhPkJZQk9JpajD8lKh13hPRa2QSoIBYAL7wcWlLA1891H4tJgJZ24zHTWcAAoFTxrMIGXyxKq22UHhVF60OHjSVyukzwXbEY4f6q3SZFR1g8jplshmwrWd2huNXuDyYIYQe8JJ90tOMGi+dzlpE4Nw1IE8HVWlbAC3x4sD9bGTCRdorhr+YAYtHTRQ9GQnJ8Ck18Er+gJx4eJQhuAVtik/nch+cHGpT5tyVFFkoCRWaTETrm3Ao9XFbLhoajuYIZaZ9DoY/Af7Rypf7A4HM2iHxdT9cAYp6KV2EDkwmCGymXDR+tyWMuGsTk9IJ7+loQzsB0ehYhCOOpCyAQ41q5MNUN5gh8sjwmTQIT81sfs7qEweM67ATpGWDhooenQ6Afn+ckglSlK3sh9c0KS+fElGPYdZxCnpBJTd5eUUyxjWosGTWolGHaQK93CnW1JwGnpJOaogCG2GM4S2DXm8ohwEZk849Ul/gyNV0siZcKoH4SKbCSdPRo3SpNG2E02lgFow5KEMMf65QuphEI46kPriqJUJVypNRs00x0SKr7Sjf6SeDt3htCqSgkDljeEH4baUczJqsMb0TQcATBuaDaOeX43xyGzSI9Ho+9tzQmrsssllTdr5PhUEAWajVHrGAG80BcpRY/9gOdzhDG0rNri/qT5LD/6eddJgBpV7wknvn0hNR412hqZBr5PbCYVSkir1kkuNUtCQeh8eaVAHfVJ8mXB1Vie8YfQu+ezXCpz1zE/YUdkc1P32SUG4GOgHBwR29I/U06E7cqNcDZ25p+iSJ6SGmQl3qNmBQ80OCAIwPC9FiaXFhXFF6fjiT1PxyAVj1V4KqUQQBHk6eI2VfeFilVTapbUggxKtKyh4vSkI15PMqSORAsB6nYAEAw8B1SYfPxyxHNU/mEHl7TfTHwRssDkj0q6hRYWTJ1IWWyjDGaSpqsyEo1DxE5g6kFKOPV5RHu0eirdWlmJTWSMe/HRrUPfbW+PrB1ecbQ75uaNJPpMVRvlSCzPh4p40GKCsIbwgnFSKWpxtgVlDmSCxYER+Kvt7xLls/0moGpXaMVD4pJNaZo2V20kn2VjqHF29pRwVgPydHmo5akub5vecAK4+uZKmR4MZtFGO6vaKIW9/RxLtnnBAmwmprSGUo8qZcLH/uULqiNsg3HPPPYcBAwYgMTERkyZNwurVq9VekmaYDDp5ZyWcKXG7D/ky2n76rQYrdtf2+H6xlglnDvPMJMBMOAoMBjgYZibcNn8QbgSHMhAFLVvldgwUPptGpz8m9SDrhZQnZcKlJcX2dFSgTQ/iELchDmXQlsDf8wjlqFZtDGZINAbaNURiOIO0baZEsbxTnpAaUiac1BOO7yUKTVwG4RYtWoR58+bh3nvvxbp16zB27FjMmjUL1dXVai9NM7L9DaprQuyL02R3tRvs8NjXO3qcvrzXH4QbECNBuHB3ioBATzgzd4ziVl+pJ1y4mXCcjEoUMnk6eBgnoEhdWp02LmfCRSCLhLrWYOsd01GBQDlqqJlIHAKmLYGT+F0fP0gBL7UHMwCRHc4QqAiK3ud2IBMunJ5wsf+5QuqIyyDc448/jmuvvRZXXXUVSkpK8OKLL8JsNuPf//53h9s6HA40NTW1+4kH0oTUmhAPRPb4s+BSEw1IMOiwZl89lu481O39PF4RB+p85agDYqQctSfp5N3hjhG1LUcNp9+GlAnHIBxR8LLl7z5mwsUqm0bbO5gVaF1BwfF4RTT79696R0+48AYzqFHyR12TsnW7+nuKothmMIP622+6HISLXCZcNLfNNPaEIxXFXRDO6XRi7dq1mDlzpnyZTqfDzJkzsWLFig63nz9/PtLS0uSfoqKiaC5XNdlhZgPsrm4BAIwqTMOcyf0B9CwbrryhFS6PCJNeh/y0pJCeO9qUGMxgZTlq3MtPTwQA2F1eufwgWHaXB3tqfAFwlqMSBS/cE1CkLlEUNft9Kq2nlYMZoqbZ7oK029kbMuHCnY5qc0Y/24i61l1P6VaXB063F0AgC01N0nCIhkhkwtn95ajR7AmXpERPOAa0KTRxF4SrqamBx+NBbm5uu8tzc3NRWVnZ4fZ33HEHGhsb5Z8DBw5Ea6mqkrIBQu2Ls/uQLwg3sI8Ff5w+CBaTHpvLmvDVlo6vcVul/lLUfllm6HWx0TRW+hK1uTwhT5OVdqjYSD9+JRj0yPE3hQ91OMPOqmZ4vCIyLSbkpiYouTyiuBA4AcVMuFhkd3khfQ1rrb1Dkj8Ix0y46JFK+SwmPYz62D/kCQxmCG0bUmMCJXVNqqTpKqgqnZA1GXSaKK+XAoGhnig+khanGoMZlOgJF/vBfVJH7H8jRVhCQgJSU1Pb/cSDLIsy5aiD+iQjKzkBfzi+GADw+JKd8BwhUFVaI/WDi41SVCBwRlEUfWetQiGdnWSz3PgmDWcItS9cYChDCiefEYVA+u6rtTITLhZZ22SZmY3qH7S2pUTWPAVHGsqgdlN7pSQnSBN2w+sJx31NbbB0M5ih3hroB6eFfTqppLu3lKMGMuFC6QnnL0dlTzgKUdwF4bKzs6HX61FVVdXu8qqqKuTl5am0Ku3JCnMwg5QJN6hPMgDgmqkDkZpowM6qFnyysbzL+5XW+vvBxchQBgBIMuohfTdaQ90xkhpJs0Qgrkl94UKdkLqtohkAMCIvPk4WECktOyW87z5Sl9QPzmzSQ6exbHq5CTsz4aKmQZ6M2jsOlKUABQcz9A6BHn+dfyZIAxC00s9QyoSLZDlqNAPEUgCtMZQgnP8+0ZzmSr1L3AXhTCYTJkyYgG+//Va+zOv14ttvv8XkyZNVXJm2yOWoIWTCuT1euax0UI4vCJeWZMT10wcBAJ78ZidcHm+n993nv1//7NgJwgmC0OYMd6hj45kJR4EJqaGWo8qTUQsYhCMKhZQJV29zwt3F9xRpV2Ayqva+S+X9BAbhoqY3TUYFwh/MIAWAecJXGyxyiXoXmXD+7TfToo1MzkhmwrWokKWZmiSVo4beE663fLZQ9MVdEA4A5s2bh5dffhlvvPEGtm3bhhtuuAFWqxVXXXWV2kvTjOwwMuEO1PuGKyQadchPTZQvv/K4AciymFBaa8N/1x7s9L57Y7AcFQh/QmqgJxx3jOKZVI5aFkImnCiK2FYplaMyCEcUigyzEYLgay8QiQMNiiyb3FdIe9+l0vd7qKWEFLwmuRy1dxwoJ3eTOdUduRxVg0HqeNRdULXe33tNC0MZgMhmwllV6QkXWjmq0+2F3eVt9xhEwYrLINxFF12ERx99FPfccw/GjRuHDRs24Msvv+wwrCGeZYWRCSdNRh2YndyuHMSSYMANM3zZcE9/uwsOd/udCI9XxIE6X/AhlspRgcCOUShnuN0eLxz+6UdslhvfCv2ZcOWNwQfhDta3otnuhkmvk8vAiSg4Br0OmWbpJBT7wsUaq1yOqr3vUmlNoQZQKHjSYIbekq1i7iZzqjstLEfVlO6yY+v822+GRRvbr7SO+kgE4VSoCJJ7wgU5mKG5ze2TWY5KIYrLIBwAzJ07F/v27YPD4cCqVaswadIktZekKVImnNXpQWuQgaU9Nf5+cDkdAwGXHdsfeamJKG+0451V+9tdV97QCqfHC5NeJ/fGihVyr5cQMuHa9ofhjlF8k7b7UDLhtvqHMgzOSYbJELcf7URhy+KE1JglZ8JpMKvcEmZTfQqe3BOu12XCcTBDbyAdO3RVRSNlwmVqJBNOGnAiDYxQktwTLopBrUAmXHDvJ6l8NSXBAL3Geo9S7OCRGnUqOcEgH8gHmw2wu1qajNoxmy3RqMfNJw0GADz7/e52Ab59/qEMRZlJMfehJp/hDmHnWtohN+oFBk/inFSOWm9zBX2gFpiMylJUonBwQmrsapEy4TQYZDCzJ1zUydNRk7QRxAhXYDBDeP2HecJXG9pW0Yii2OH6wGAGbWy/kSpHdbq9cPp7sEazVFrqCdfq8sDp7nkPWKl8NbWXZNiSOnjET50SBAHZ/kagtdbgPmwPn4x6uAsmFKEoMwk1LQ68saJUvnxvrdQPLrZKUYE2X6Qh7BgF+sFxpyjepSYa5UlLwWbDSUE4DmUgCk+408FJPVrOhGNPuOjrbeWoYWfCSYNLNNgzMR5Jnwkeryi3pWlLa4MZMvwZpVZncEGr7rTdnqPZzzOlTT+35iBKUqXyVU5GpXAwCEddyk4JrS+cFIQb2EkmHACYDDrcetJQAMCLy3bLH3z7pKEMMTQZVRLOYAZORqW2CkOckLpVzoRLUXxNRPFEmg7OnnCxR8uZPnI/L/aEi5reNphB2q5bXR54vB0zp7rDclRtaXvyvbPAqlT2qZXtNzXRCKlQSclsOOnYKcGgg0EfvdCEXicgJSH4CalS+Soz4SgcDMJRl7IswTenrrM65YlyA7O7bg5/7vhCDOpjQYPNhVd/2gsAKK2NzcmoQNvmqqH0hONkVAoIJQjXbHfJQ01KWI5KFJZsuSccg3CxRsuZcJaE0PcTKDQNrf5yvl5ysNx2PzGU7UgqY+UQMG3Q6wQkGaUM2Y7Bea1lwul0gpxVquT0cCkIp0ZmmTycIYgJqVImHCejUjgYhKMuZcnZAD0/27HHnwVXmJ6EpCPsBOt1AuadPAwA8OqPe1FvdaLU3xMuFjPh5DHjIfR60fKZe4o+qS9cMOWo2yubAQAFaYma6R1CFKsC08FZjhprrJruCdf1wTZFhlSO2lsyVhIMOhj8qUihZFQyE057LEcYzlDnbweUoaH9OmktSk5Itao4tVcK/AUzITXQE47vIwodg3DUpewQDkTkfnCdTEY93Gmj8jAiPxXNDjdeXLYb+6UgXAz2hLOEMR1VPnPPHh2E0DLhtpZzKAORUkLJAidt0HImnFR65nB74fYo10+JutbYy8pRBUFoM5whuP1Nj1dEq0s66au990e8MndRSdPq9Mh94jI0kgkHBN5LkShHVSNDUwrQNzITjqKMQTjqUnZy8Aciuw/5SkoH9iCbTacTcPspvt5wr/60F06PF0a9gPy0xBBWqy45Ey6kM5P+M/csDyAABf4gXHkQQThORiVSjtQPlYMZYo+Uja7F79N2pYQuZsNFmt0VCGL0pgzxUIcztA3ysPJCO7o6fqjzB7lMep2mTioEMuGUL0dNVqMcNVEqR2VPOIouBuGoS9KEuFprEEG46p5nwgHAicNzMK4oHW5/g9miTHNUm3IqxWIKPROO5QHUVijlqJyMSqScbIs/C9zqgCgG3/yc1BMoa9LOQaskwaCD3l9K2MqS1IiTSlH1OkFTQYxwmUPc35SCPHqdgARD7O1n91ZdHT/US6WoFiMEQYj6uroiZeVFohxVjeMgqaQ0qHJUOROOx20UOn4KU5dCKUfd459wOqiLyaiHEwQBf5k1TP53LJaiAoGz7lYOZqAw9fVnwlU22eHqQcmS2+OVe8IxE44ofNIJKLvLy/5dMUY6mNNiJpwgCCEHUCh4cilqkraCGOEKtQdxoORP36tej1jX1d9TCnJpqR8cAGTI5ahKZsKp1xs7kAkXSk84ZsJR6BiEoy5lWaSSnJ5lwjncHuyv8/V1G9ynZ5lwADBlcDYmD8wC0PPgndYEpp6F3iiX5QEE+ILfJr0OXhGoarJ3e/vSWiscbi/MJj36Z8beZGEirbEkGOSJdewLF1uk72CtZpZzOEP0SD2r0nrZgXKo5aisutAmKWv38J5wWhzKAARKu6VMPSW02KVtM/rJCPJ01KAy4fzlqOwJR2FgEI66JPWEq7M64fF2X5Kzv9YGj1dEcoIBffw9dXrqkQvG4Orji/GH44tDWqvawhnMIJ394sh4Any9EvPTfX0Re1KSurXClwU3PC8FOh3PbhMpIUvuicq+cLFE65nl0vc8M+Eir8GfrZLWS4YySI40TfNIrE6e8NUiKWv38L+nlGmWYdHW9huJnnDStqlKOao0HTWonnCcjkrhCzkI99Zbb2HKlCkoKCjAvn37AABPPvkk/ve//ym2OFJXpr/u3yv2bAqOPBm1jyXoVPe+GWbcfWYJ8tOSgl+oBgTSyUOYjqrhHjakjmAmpHIyKpHysuR2DMyEiyU2FcuaesIsZb1wMEPEtS1H7U0sIWfC+YeWaPS9Ea+kwJPt8MEMGs2Ey4jkdFRVesKFkgnH6agUvpCCcC+88ALmzZuH008/HQ0NDfB4fB8c6enpePLJJ5VcH6nIoNfJH7a1PUg7liajDgqiFLW3kM5uH/4l2hNq9kIgbZKDcD3IhONkVCLlZVuYCReLtJ4JZw5jX4GC0+jP1Olt5aihZlMGylG1+d6IV9Jn1eGZcFJPOCkhQivkctReMphB+nwIriccy1EpfCEF4Z555hm8/PLL+L//+z/o9YEP84kTJ2LTpk2KLY7UJ2UD1DR3nw0gZ8L1cDJqb9LVl2hP2DR+0EDRJ01ILW/sSTkqJ6MSKS2bmXAxRxRFudeaVk9qyYMZQsiap+DImXAayyQKV/iDGbT53ohXgZ7ShwfhtLn9SuWxig5msKtZjiplwvXsM9nl8aLVn8nMclQKR0hBuL1792L8+PEdLk9ISIDVag17UaQdUl+4mqAy4WJzuEI4pC8Oh9sLdw8mWrZl5Y4RHabAnwl3sJtMuJoWBw41OyAIvp5wRKQMqSdcT7LASRscbq/cv1arJ7UCWfMMwkVaQ2tvHcwQWg9iDmbQJoscmD9sOqpVyoTT1vYrlcc2tLrg7UG/8J5QtxxV6gnXs6Bic5tgHd9LFI6QgnDFxcXYsGFDh8u//PJLjBgxItw1kYb0tC+OKIrYU+3LhBsYh+Wo5jbp/cGenbRq/Mw9RV/fHvaEk0pRB2RZ5DInIgqfnAXOTLiY0TYoodXPQ3k6KnvCRVxDby1HTei8kX93uK+pTeYuevxJ5Z5a6wmX7m9T5PGK7QJS4VB3MENwPeGkYF1yggEGPedbUuhC2trnzZuHm266CXa7HaIoYvXq1XjnnXcwf/58vPLKK0qvkVQU6Itz5AORQ80ONDvc0AlA/yxzNJamKSa9DgadALdXhM3pDmqnj4MZ6HByOWpDK0RR7HLQiTSUoYT94IgUJWeBMwgXM6RS1CSjHnqNToq2dNGEnZQXKEftnUG4UDPhzNzX1JSuekrXa3QwQ4JBD7NJD5vTg3qbU5Hpw1I5qpqDGewuLxxuDxIMR35/BIYyMJhN4QlpC7rmmmuQlJSEu+66CzabDZdccgkKCgrw1FNP4eKLL1Z6jaSiQF+cI5fkSKWo/TLN3X6A9UaCIMCSYEBjq0ueQNVT0tlMrZ65p+jLS0uEIPh2CuqsTjkr53CBoQwsRSVSUk+/+0g7pGwKLZ/QSmJPuKjptUE4U2g94eRyVO5raor0eXX4Z0KdRgczAL7AoM3ZinqbEwMQfgsiaUCdGplwKQkGCAIgir6BC31SugnCSUMZelmGLUVfyHmUl156KXbt2oWWlhZUVlbi4MGDuPrqq5VcG2lAoCSnuyCcfyhDHJaiSuS+DkGcnWzbSJq9BUiSYNCjj/+9d6SS1G0VzQA4GZVIaewJF3ukE2BaPqEl7ScwEy7yem85amg94dTsu0Vd6yyzsdXpgd3l6y+txSCytCalhjOo2a9QpxPk5+1JSWogE057fxeKLSEPZti1axcAwGw2IycnBwCwa9culJaWKrY4Ul9WD0typCDcwDgcyiAJTKzq+Y6R0+OFW2okreGz9xR9UklqWRfDGewuD37zv+84GZVIWVkWXxC83uYMetgOqSMWJo1LAUL2hIs8KRMuLUl7mUThSA6zHJUnfLWls8xGqR+cUS9o8u8llchK6wyHxyvK00bVymKW+8L1YDiDdBtORqVwhRSEu/LKK7F8+fIOl69atQpXXnlluGsiDZFLcqzdBeGkyajxmwlnDqHXS9vSVbNRuwcOFH2F3Qxn+K26BR6viHSzEXmpidFcGlGvl2kxySUqdQocaFDkSd+nWs70kQ4yOR01srxeUc5Y6X2ZcNJghtCGgPGEr7Z09plQ16YfXFc9gdUkZcLVK5AJ13bASLJKfdak0tKmHgyaYCYcKSWkINz69esxZcqUDpcfe+yxnU5NpdglNafuri/OHqkcNSd+g3CWEHq9SGcmE406TtmhdroLwm2V+sHlpWpyJ40olul1AjLNPfv+I22IhUy4JFPwGfMUvGa7G6KvyKD3BeFM4WXCaTlIHY/MbTLhvP7KGKnMU2tDGSTSuhoUOEElbZdGvaBaT3FpyELPMuHYE46UEdJRvyAIaG5u7nB5Y2MjPB6m2PcmUk84m9Mj7+AertXpkQMF8ZwJF+jrEEQmnNRIWsM9bEgd3ZWjypNRWYpKFBFZPTwJRdogBxk0/H0q94QLsqk+Baeh1feetZj0MBl61wlOKXOq1eWBxx+06QmWo2pT27+HVJYpZV9nWLQZ6MmQM+GUC8KpGRxOkzPhgukJx/cRhSekb6Zp06Zh/vz/396dh7dR3/kDf49OW/IZn4rtxDkgHDlIQgkJpBAWCBS6UG84QrccC6V0aUlaSoGyLVDKUVpoAktp6RH4cUNwaRdCIIWEphASCIHclJCEJD5y27ItW+f8/hh9R5Ity7IsWTOj9+t5/MSWxtLY+Vqa+cznuD8m4BYMBnH//ffj9NNPT9vOUfY5bWbYwwcw/Z2I7DrUBVlW0pO1OMVnuKQymEEP5TOUHQNlwkUmozIIR5QJoi/cQD1RSRtEuZ2W30/VnnAMwmWUUYcyALHru7+L4/GI8lUtB6lzUZ7VBFHMIM4fRIaZVjPhStSecEMvR+3QwMUTtRy1O4lyVLUnnPFeW2h4pbTif/nLX+KrX/0qJkyYgNmzZwMAVq9eDbfbjXfeeSetO0jZJUkSygvsaGrrxqFOL+pGOPpsw8moCkcKgxn0UD5D2aFmwsUJwsmyrAbhTmAQjigjygsZhNMTj5pRod33U4eNPeGGgzqUQaNBjKGwW0ywmCQEQjK6vEEUJtmbShxvMhNOWyRJgtNmQac3oF5IUHvCaTSxQWTopbMctTCLmWXqYIakMuECMd9DlKqUMuFOOOEEbNy4EZdeeikOHDiAjo4OXHnlldi+fTsmTpyY7n2kLCtXJ6TGf7HdqQ5lyN3JqEDkwGYwV7i1kIZN2jQynAnX5vH3ya5sauuGuycAq1nC+Bzuw0iUSWXhE6DDXSxH1QO18byGM31EgLCLmXAZ1RYOwpUYMFtFkqSo4QzJBXNDIVk9NuVgBu1RXxfC/59Hw+85IzQaRFYz4bqGngmnhfMgMemU01FpOKW8gkaOHIn77rsvnftCGiX6wh3uJxuAmXAKcYU72YMigOWo1L+iPCsK8yzo6Amgua0bx1QVqvdta1F6co6rKDBcvxsirVAvQHUwE04PPGqPVe0GGUSAsJtBuIxqD2foGLEcFVDWeHt33wt0/Ymu0GAmnPYopZjeSBAuXOYpppBqTToHM3T0aCAIF85qa08mCMfpqJQmSa/4jRs3YuLEiTCZTNi4cWPCbSdPnjzkHSPtUCek9pMNIIJwY3M8CKdmwg0iCKeHkwbKnpqSfGxv7cC+PkE4DmUgyrRycQGKmXC6IC5qOTQcZBB9j3zBEHyBEC+iZIg4mdZqEGOonINsfyL+NswmSe3zTNrh7FVJIwYeaLXPdmQwQ/oy4QqzmgknylGT6QknymeN+dpCwyfpFX/SSSehtbUVlZWVOOmkkyBJEmS571QeSZI4IdVgRCbcwTjZAKGQzHLUsOgx48kSjXK1XD5D2VNbqgThmnv1hVMno7IfHFHGDJQFTtqih4ta+VH71u0LMgiXIUYezABEBeG8yR1vdnojfxuSmAJAmiEqaURQ9ahH6z3hlP3q9gfR4w8iz5r6a25koE72XrfFpNNkylE7eliOSumR9AratWsXKioq1M8pdyTqi9Pi7kG3PwirWYo7tCGX9O7pkIxIo1ztnjRQ9oi+cE1HY4Nw21o5GZUo08oG6IdK2iICDVrOhLNZTLCaJfiDMrp8ARQbNFMr29rUwQzG/P0WqEG45I43OZRB25y9/j9FrzWtTkcttFvU4SBtHj+qi1M/h+nURE+45AYzBIIhNWjIclQaqqQvwY0ePRqSJMHv9+Puu+9GKBTC6NGj436QsVQU9p8NsDNcijq6zAmrObev6DpTyoTT/kkDZU9NSd8JqZ3eAL487AHAIBxRJpU7I9NR42X+k7aIUi6tX9QSme+DGeJEg6OWo+ZrM4gxVOKib7I9iHmsqW29MxuPaHwwgyRJaqn30SH2hevs0UA5qpiO2p3476kjqlw1m9NcyRgGHTWxWq145ZVXMrEvpFFlUScivX1xQAxlyO1SVCAycWpQPeG84qSBL+bUV01p30y47eF+cNVFeZrtF0JkBOWFyt+XNxDiNEsdEFkkWm/vIMplPUn286LBazd6OaptcJlwHAKmbeI1ocsbQI8/iG6/8v9V4tTu+lUnpA4xCKep6agDZMKJ+502Myw5nnhCQ5fSCrr44ovx6quvpnlXSKtESc7hOCU5X4T7weX6UAZg8AdFQKT/g0PDPWwoe0QmXHRPODGU4XhXYdzvIaL0cNgsyA/3umFfOO0TmWVOjQfh8tUTbgZ2MyV3BjMkt4bEcanWs0RzVXRPaRHUspikrGaHDUQMZ2gb4nAGLZSjimC9LxBCj7//vymRKVdk0OA+Da+UVvwxxxyDn//853jvvfcwffp0OJ2xWVA33XRTWnaOtEFMiDvi8SEYkmE2RZq6ismo4xiEG/RBERB1BUjjJw2UHSII1+rugT8YgtVswlZORiUaNmUFNuw72o1DnV6MLmPGt5apmXAaDzREJiEyEy5T2rqVQIZhM+EG2ROuk8eamiaCox5fQC1FLXXaND1EI12ZcJ3e7PcrdNosMElASFay3fobNCEy4dgPjtIhpRX/pz/9CSUlJVi/fj3Wr18fc58kSQzCGUypwwpJAmRZ6VMgesQB4GTUKNGDGWRZTurNMzIViAdG1Fd5gR02swm+YAit7T2oG+HA1pYOAOwHRzQcygvs4SAchzNomSzLusmEc6jlqMyEyxSjT0ctGOQgMA5m0DbRq6/TG1DXbqnGszjTlQnXpYEgnMkkoTDPivZuP9zdAVT2U2gipqdyMiqlQ0qrKHo6qmhWrOVoPQ2NxWxCqcOGI10+HO7yqkG4Tm8Are4eACxHBSKBtEBIhi8Ygt0y8NV4cWCk9Sv3lB0mk4SRJXnYfdiDprZujCzJx2ecjEo0bMoTtGMg7fAFQwiElONRrb+fOm3MhMukHn8Q3kAIgPHLUZMfzKAEfLX+t5Gr1D6R3mAkE06jQxkEsX9Hu9KTCZftZISifIsShEvQF46ZcJROKXcV/NOf/oSJEyciLy8PeXl5mDhxIv74xz+mc99IQ+KdiIjJqOUFdsNebRwMR1T6sifJXi9qs1yNX7mn7BkZ1Rdu16Eu9PhDyLeaUc/SOKKMSzSYiLQjur+ao59SIq1gT7jMEv3gzCbJsJlfgx/MoI1AB8UXaWcTQFu4vFPrg7dEOeqRIQ9m0MaAOhFYE68f8bAnHKVTSiv+Zz/7GR5++GF8//vfx8yZMwEAa9aswQ9+8APs2bMHP//5z9O6k5R9yolIZ8yJSKQfHIMBgJIxaLeY4A2E0OkNoDSJN9DIgZG2Txooe0RfuKaj3bCGpzFNqC6M6c1IRJkhJqRyMIO2iffSPKtJ81PrmAmXWdGlqEat0kl5MAMv+GqSIyqoeqRLDBXRdhAu3YMZCvK0EYRzJwrCqZlw/DuioUtpFT3++OP4wx/+gPnz56u3/fu//zsmT56M73//+wzCGZCYkBrdF+eLA+F+cJUsRRUK7BZ4A76ke71wMAMNpKY0HIRr61bH1rMUlWh4RDLhWI6qZXrpBwdESgLZEy4z1MmoBs5WcQ6yJxz7D2tbgTqsJTIddYRT2+s3HYMZZFlGl08byQiiz5u7p/+/qUhPOG3/35A+pPRq7Pf7cfLJJ/e5ffr06QgEeGXPiMSE1OhsgJ2HOBm1N4fdjMNdUN9UEgmFZHj8PDCixNRMuLZutQcjJ6MSDY/IBShmwmlZl476q0Yy4RiEywRRzmfkE+WCQU5HZdWFtonXrS5fQA1qab8n3NAz4Ty+IMKt5TVTjpo4Ey4Qsy3RUKSUs/+tb30Ljz/+eJ/bn3jiCXzzm98c8k6R9pTHORERmXBjWY6qGkyfjp5A5M2HB0bUn+gg3LYWZSjDCa5+RjcRUVpViAtQQ2w+TZnl0VF/1UhPOF60zoQ2kQln0KEMQKR8sTPJvoJaaX5P8UXOHXQ0mME59Ew4sS5NEpCf5V6eImifcDADp6NSGqW8iv70pz/hrbfewqmnngoAWLt2Lfbs2YMrr7wSP/zhD9XtHn744aHvJWVdmZoJp7zYBkMydh1SgnDjmQmnUvt0JHFgJN58JA28+ZB2iXLUPYc96vS/CdXMhCMaDuK9j5lw2qZmwtm0/16qTkJkJlxGuHOgHDVSvsjBDEYQXV4sMsu0P5ghMsggGJJT6lMcHRzOdv/GSCZcgnJUTkelNErp1Xjz5s2YNm0aAOCLL74AAJSXl6O8vBybN29Wt8v2HxSljyhHPRS+QrPvqAe+YAh2i0md3kiRE4BkrnBHX7nn3wr1x1WcD0mCGoCrL3NkPW2fKFeILPA2jx/+YEgdjkLa4vHpJ8jgGGQAhQYnejCDUTmj+gqGQjJMAwRA1MEMOvj7yEUiE84bCOFgh3LBR+uZnCX5ynujLCuB72SG0fWmpXUZ6QnH6ag0PFJa9StXrkz3fpDGqX1xwm8OOw8qWXBjyp2c0hhlMFcnxRUgPVy5p+yxWUyoLLRjv1v52+NQBqLhU+KwwSQBIRk40uVDVVFetneJ4hDZ53p4P1VLz5gJlxFiMEOxxsv5hiI62NzlC6BwgMycLh0NLslF0b0s93covX+1nglns5hQYLeg06v0sUslCKelMmkRtE9mOmohp6NSGvCSLiWl3Cn64nghyzK+OBgeysDJqDEcgzi49nBaFSUpOtuUQTii4WM2SerJEEtStUtPk8YdajkqM+H6I8syXlm/D3uPeAb9vW05UI5qt5hgCV8AT6b9CQczaJvdYobVrPx/il7RqQS1hpvI1jua4nCGzh4NZcKJctQE01E7OJiB0ohBOEpKeaHyZtDjD8HjC0aCcOUcyhBtMGPjtTKWm7SvJioIdwKDcETDqrxXT1TSni4dXdRysCfcgN7c0oqbX/4UP166cdDfK6ajGrkcVZIkdR11DnC8GQrJvOirA46oCwgWk4RCHfxfieERbSkOZxDnQZoIwoVfLzr6yYQLBEPq3xrLUSkdGISjpDhsFnV4wKFOrzoZlZlwsQYzmKFLLUfN/psPaZsYzgAAx49kEI5oOJXFmQ5O2uIR76c6uKgljhM8SU62zEUf7T4KAFi/5yh8gdCgvtedA9NRgeTbn3RF3a+FYAfF54wqpS9x2HTRK1pkiad6gUpM99VCMoLoCdfeTxAuOtjNclRKBwbhKGmRExFfJBOOk1FjOAdRZiIOwHlQRAOpDWfCFeVZMLKYPamIhhMz4bRPTz2v1AFOLEft1+bmdgCALxDCthb3oL5XlKMaORMOiARzB8qEExeFzSYJdgtP+7QqOkuxVCcB5Opwj9RWd09K3y/KUbWQoRkpR/VDFjXBUcRQBofNzAFNlBZcRZQ0cSLyxcFOHA5PSR3DctQYyR4UAZEDcD00kqbsOmFkMQDglDFlurg6SmQkZU4xHZyZcFrl0dH7qch+9/iCcU/2cl0oJGNLUyTwtmHP0UF9v5iOavRMuGQrL9TWJzYzjx80zBEdhNNBPzgAcJUoQbiW9u6Uvl9UBGmh9FaUmPqDMnr8fbNvxVAG9oOjdMn+qifdKA9nwq3bdQQA4CrO08TVCy1xRh1cD0RPjaQpu6aPLsXfvncaRpcx6E003CLTwZkJp1VdXv30vBIls8GQDF8wBLtF+4HD4bTniAcdURcyN+xtw9VJfm8oJKsny8X5+ghkpKpADcINlAmnnWwj6l9BVEnmCJ1M9nUViyBciplwGlqbTptZnYTu7vEjv9cFHVHmLspWiYaKmXCUNJENIIJwLEXtSxxcJ5cJp5+TBsq+ybUlhi+vIdKiioLIdHDSJl1lwlkj+8i+cH1talJKUW3hkq8Ne9qS/t6OnoA6XdLo75fJDmbQUqCD+hfdH7rUqY+16ypWWqW0phiE01KAWJIkNRvOHacvHDPhKN0YhKOkiQmpe8Ij48dVMCunN2eSjXIBjownItIDDmbQPj1lllvMJrU3F/vC9SX6wZ03sRqSpBxzJvu319atZKs6bGbYDN7/LOnBDDrKEs1l0YMZSnWWCdfcllo5qggQa2XQQXRfuN5ETzhORqV0MfY7FKWVyIQTOBm1L7UcNanpqMo2nI5KRKRdHMygfXrLLHeoQ5yYCdfb5nAm3MxxZRgfrrhINhtOTDYsyYET5UgP4sRrSATpCnjBV9NiBzPoIwhXHQ7CuXsCA5ZFx9OpsYsnotRUBNyiRTLhtLGvpH8MwlHSRDaAMLacQbjeki0PAHhgRESkB+K973Cnj430Ncqjs8xyxyD6x+YSWZaxOTyUYVJNMaaOKgGQ/HAGMZQhF7JVnEn2hNNaoIPic+pwMENhnlUdqpBKXzgtlaMCkRL2+JlwufPaQsODQThKmuiLI4yrZDlqb5HygIEPrMWBETPhiIi0S2TC+YIhuHtYPqhFIhNOL++nIljoSSF7xMj2He1Ge7cfVrOEY6oKMG1UKYAUMuEMPhkViJQvcjCDMUT3sxyhk55wQCQbLpW+cOI8qEAja1MtR43bEy4Qsw3RUDEIR0kriwrCOWxmVBflZXFvtEkMZujyBQbMmPDorHyGiCgX5VnN6knCYfaF0ySRWa6XTLj8cLCwi5lwMUQp6oTqQtgtZkwNB+E+3deGYGjgLNQ2tRxVH5lEQxEpRx0oE04ca+rjbyNXRQeiSnRSjgoArhJlOENz++D7wom2PAUaKfGM9ISLU47K6aiUZgzCUdKiy1HHVRRAkqQs7o02iTdRWQa6/YkPrjmYgYhIHyLDGdgXTmt8gRD8QSVAo5tMOLUnHDPhoonJqJNqigEA4ysLUGC3wOML4rPWjgG/v92j/H0afTIqkHzlBTPh9CH6tWuEnoJwRenIhNPGeZAIsLVzOioNAwbhKGmlDhtM4bjbWE5GjSvPYoaITXYN0CxXTEXTy0kDEVGuKnOKvnDMhNOa6EBWdEmXlrEnXHwiCHfiSCUIZzZJmFKnfL5h78B94XKqHDXJTDi1/zCPNTUt+oK8XnrCAYCrRAnCtQwyE06WZc0FiBOWo3I6KqUZg3CUNLNJwojwG8O4Cg5liMdkkuCwJtenQ0xQ1UovBCIiik/0hTvUxUw4rRFBCJvFBKtZH4e14oQ7lYmCRiXLMrY0R4YyCFPrku8Ll1uDGZJbQ6Ic1cFjTU0TgzPMJklXEzhdxSIIN7hMOG8ghEC4xFwr50FFiQYzMBOO0kwfRyukGeJEhEG4/qkTqwYoM4kMZtDHlXsiolwleqIe6mAmnNaIbDKtnMglw6GWozITTmhu78GRLh8sJgkTqgvV26eNLgGQ3ITUthzMhEt2MINWSv4oPtFTutRh1VW7H1ex0hNusOWo0RmcWpncK8pRRdZbNJEdV6ijAClpG4NwNCjfP+sY/PuUkTjruMps74pmOZPo0xEIhuANhGK2JyIibaoI94Q73MUgnNZ06fCCFstR+xJDGY6pKkSeNfJ/eVI4E+6Lg11o8yTORG3PpcEMSQ736NRYyR/Fd0xlIRw2szoRWC9EJlxz2+DKUaNft00mbQQdI4MZ+mbCdfSwHJXSi6/INCgXTHbhgsmubO+GpokTgUR9OjxRQxs4mIGISNtEJtxhDmbQHHXSuEayKZLBwQx9iSDcxJFFMbePcNpQX+bA7sMefLK3DWdO6P8icHu4HDWXBjMkmwnHIJy2VRTase6Os9WWNnpRHQ7CuXsC6PIGkl5nIqilpXWplqP26gkXDMnoCP8d6alUmLSNmXBEaaZmwiUYzCAOiiwmCTad9LAhIspVkemozITTGjWjQkcXtBxqAIWZcIIIwk2qLe5z39RRyfWFa+tWguS5UY4aKWkOhXtrxaPHcu1cVWC3aCYrLFmFeVYUhtfWYPrCidftQg2ty0gmXGxguzPq60L2hKM04dk/UZqJK9yJesKJA2+n3aKr3g9ERLmonJlwmqXHTDgHM+FiyLKMTU3KUAYxGTXa1FElAIANe9sSPo4oR82FTLjoDKJEx5vsP0yZJrLhBtMXTqxZLWXCFUdlwslyJLAtylPzrWbYLAydUHpwJRGlWTLNcsWBt5MHRUREmlcezoQ7yEw4zREnc3oKMrAnXKwDHV4c6vTCJAEnuIr63C/6ZH2y52i/WV89/iB6/Eqv3eIcyISzW0wwh7OmEmVURgYzaCfYQcbiKlGGMzS3J98XrlNNRtDO67YYzBAIyeiOahskgvvifqJ0YBCOKM2cSRxcq1cmeVBERKR5IhOuoycAb4CBEy3xRGWW6wV7wsXatE8pRR1fWYD8OMHUCdWFyLOa4O4JYOehzriPIfo4mU2SpkrcMkWSpAErL0IhOZIpmgO/E8oOV9HgM+FEiWeBXTsB83yrGZZwYDt6QqrIhCtiKSqlEYNwRGkm+tIkHMygw5MGIqJcVZRnVQ/Oj3SxJFVLItMftZNRMRCj9ITzBULY1uKOKd1Kxebm8FCGmr6lqABgNZswuaYEAPBxP33h2kS2Sl7utPkYaDhD9BAwZsJRprhKlCBcyyAy4SIZmtp53ZYkSR3O0B41nEEE5DgZldKJQTiiNCtQBzMk6AnHclQiIt0wmSSMcIaHM3QwCKclkfYO+gkyGKUn3JL3duH8xavxzAdfDulxIpNR4wfhgKi+cP0F4cKTUUsctiHti56IC7n9XfQVgQ6zSYKdvawoQ1zFIgg3iEw4jU7tFdNPRfZb9OecjErpxFdkojQTvV66EpSjiqvfDh2dNBAR5TJRknqoi33htES81+rp/TQShNN3Jty2FmWYwksf7RvS42wOD2WINxlViAThjsa9P5eGMgjOATIqo4cy5Ep2IA0/V7HSE25Q5agiE05jga2iqOEMglvtCZc7ry2UeQzCEaWZKIlJZjCDltKwiYiof2UFIhOOQTgt8eiwHDWZ3rF6IAJfm5rasfeIJ6XHONjhRau7B1I/QxmEqeHhDP/a3xE386vNo2So5lYQLvHxJocy0HAQmXDNbSmUo2rs4ono+xabCReIuY8oHRiEI0ozZxKZcBzMQESkLyIT7jB7wmmKLjPh7JGG+kPtp5ZN0X2Tlm9uTekxRD+4seXOhKVpVUV5qCnJR0gGNu5t63dfSnJgMqoQOd6MH4TTaskfGUt1OAjn7gkkTECIptW1KSagxgxm4HRUygAG4YjSTFyZTNQTTlz95tVJIiJ9KA9nwh3uZCaclqg94XSUCScChrIM9PhDWd6b1LVFBeGWbW5J6TE2hyejTupnKEO0k0RJaqIgXA5lwg04mIFDwGgYFOZZ1YnEyfaF02qWppoJ1x2vJ1zuvLZQ5jEIR5RmAzXKjb7PwcEMRES6UCZ6wnUyE05L9NhjNd8aee/X83CG6BPVDXvaBjUdURhoMmq0qXUl4efq2xdODGbIrXJUcbwZv/Kii61PaJiIbLhk+8JpvidcD6ejUmYxCEeUZo4ker2oPWx0dNJARJTL1MEMzITTlC4d9oQzmyQ1EKfXvnCyLKvZZzUlSmP2VEpSxVCGpIJw4b5wG/a09SnjFVl5xTk0HdUxQE+4yAVfHmtSZrnCrwHNSQbiOzWapVmsDmaIKkdlJhxlAINwRGmWzGAG0cNGa28+REQUX5lajspMOC0RQSy9XdRyRvWF06NufxD+oBIIu+wrdQCANwYZhDvS5UNTuJn7CSP7H8ogTKwpgs1swuEuH/b0GgSRk+WotsTlqFot+SPjcRUNLhMusja1dfGkKJyZF5sJx55wlH66CMLt3r0b1157LcaMGYP8/HyMGzcOd955J3y+2APhjRs3Yvbs2cjLy0NdXR0efPDBPo/18ssv47jjjkNeXh4mTZqEZcuWDdePQTlioEa5gD6v3BMR5bJyJzPhtKhLhz3hACDfJi7Y6TMTTgS9LCYJDdNqAAAf7j6Cg4OYHry5SSlFHVPuTCrLxG4xq8G6DXvaYvcnJ6ejJh4EFsk20tffBumPq0QJwiXbE04tR7Vr6+81XjlqR3g6aiEz4SiNdBGE2759O0KhEH7/+99jy5Yt+M1vfoPf/e53+MlPfqJu43a7ce6552L06NFYv349fvWrX+Guu+7CE088oW7z/vvvY/78+bj22muxYcMGXHzxxbj44ouxefPmbPxYZFDioKjHH0IwFH/qmR6nuRER5bLyQiUT7kiXD6F+Xttp+Hl02BMOiFyw69ZpOaoIwhXnW1Fb6sCU2mLIMvDmluSz4TaFg3AnJpEFJ0wVwxl69YXLxemoAw9m0OYESjIeV7EIwiVbjqrNiyfiYkB73MEM/Dui9NFFEO68887DkiVLcO6552Ls2LH493//d/zoRz9CY2Ojus2zzz4Ln8+HP//5zzjxxBNx+eWX46abbsLDDz+sbrN48WKcd955uOWWW3D88cfjnnvuwbRp0/C///u/2fixyKCihy30lw3n0eibDxERxTfCqQThAiE55gCdsscXCMEXVKaL6q0cVRwr6LUctb3XIITzJ7kADK4v3Jbm5CejCmpfuF4TUtu6c3kwQz/lqD72H6bh4SpWesIlU47qD4bgCyiv21orlRYlp6InXCgkq39fHMxA6aSLIFw87e3tGDFihPr1mjVr8NWvfhU2W6Qh69y5c/HZZ5/h6NGj6jZnn312zOPMnTsXa9as6fd5vF4v3G53zAdRInaLCRaTBCByhb63Lg5mICLSFbvFrF4JP9zFklQtiM4iy9fZtHERQNHrdNQ2tU9SOAg3sRoAsGbnYRztSq5vosiES2YogyAmpG5tdqPHr/z/h6IC48U5lAk38GAG9h+m4SEy4ZrbBs6Ei16vWlubIhNOZL91eAMQM2AKmQlHaaTLINyOHTvw6KOP4jvf+Y56W2trK6qqqmK2E1+3trYm3EbcH8/999+P4uJi9aOuri5dPwYZlCRJA17h5mAGIiL9iUxI5XAGLRDvsTazCTaLvg5p9T4dtb1X5tnoMidOcBUhGJKxYuv+gb/f48feI8oJ+8SRyQfhakvzUVFoRyAkq0G86BPlXMqEK1ADuYkv+Gqt+T0ZT3U4COfuCSQcTAdEeqzZLSZYzdp63VZ7wnX7IcuyOpQhz2qC3cK/I0qfrK782267DZIkJfzYvn17zPc0NTXhvPPOwyWXXIJvf/vbGd/H22+/He3t7erH3r17M/6cpH+J+nTIsszBDEREOiQmpHI4gzbo+b1UzYTT6WAGd5zyT5ENt2xzy4Dfvzlcilo3In9Q2WuSJKnZcKIvnCiNzbeac+pEWVRT9FuOyp5wNEwK86woDK+zgYYziIsnWitFBSKZcCFZSZiI9IPLneA+DY+srv6bb74ZV199dcJtxo4dq37e3NyMOXPmYNasWTEDFwCguroa+/fHXnkTX1dXVyfcRtwfj91uh91uH/BnIYrmUINwfQ+ufcEQAuGm3nprJE1ElMtEJtxhZsJpgp6HHOm+J1ycQQjnT6rGQyv+hfd2HEJ7tz9hVpqYjDqYfnDC1FGleGvrfnVCalu3r8++5IKBBjNEJgfr7++D9Ke6OA8dBzrR2t6D8ZUF/W6n5eBwntUEq1mCP6hkwYnecOwHR+mW1dVfUVGBioqKpLZtamrCnDlzMH36dCxZsgQmU2wS38yZM3HHHXfA7/fDalX+UFasWIEJEyagtLRU3ebtt9/GwoUL1e9bsWIFZs6cmZ4fiCjMaeu/T0f0VW+nznrYEBHlMmbCaYuehxw5Bygl1Lre5agAML6yEMdUFuDzA514Z/t+fGNqbb/fH5mMmkoQrgQA1CBcvH3JBWLde3xBhEIyTOF+xIK4EMz+wzQcXCX5+PxAJ5oHmJAqylG1mAknSRKK8qw43OWDu8fPyaiUMdoqxO5HU1MTzjzzTIwaNQq//vWvcfDgQbS2tsb0crviiitgs9lw7bXXYsuWLXjxxRexePFi/PCHP1S3WbBgAZYvX46HHnoI27dvx1133YWPPvoI3/ve97LxY5GBiYPreFe4RdmA3WKCRWO9EIiIqH/sCactes6Ei/SE03cmXO/Al1qSuinxlNQtzcqgs1Qy4SbXFsNsktDq7kFLezfaPLkahIus+0THm3oMUpP+uIqUvnADTUgVwWEtBuGA6L5wAbXsnplwlG66iACsWLECO3bswNtvv43a2lq4XC71QyguLsZbb72FXbt2Yfr06bj55pvxs5/9DNdff726zaxZs/Dcc8/hiSeewJQpU7B06VK8+uqrmDhxYjZ+LDIwcUIQ7wq3h0MZiIh0qUwtR2UmnBZ4fPoNMqhZTDrtCScCX71PTs+fpBybv/uvg/32KnP3+LHrUBeAwU1GFRw2C46rLgQAfPxlmzqpNdfKUe0WE8zh7Ld4x5uRwQw83qTMc5UoQbgBe8JpPDgcPZzBHc7aY084SjddvCpfffXVA/aOA4DJkydj9erVCbe55JJLcMkll6Rpz4jiK0gwNr5LxycNRES5rNzJclQtERkVesyEE/us955wvbPPjqsuRH2ZA7sPe7By+wF8fcrIPt+7NZwFV1OSjxHhv6nBmjqqBFua3diw5yhKw4+Ra5lwkiTBaTPD3RNApzeAqqj7QiGZF31pWLmKRRAucTlqp4Z7wgGR0lN3jz8qE06b+0r6pYtMOCK9STSYQb0CpMOTBiKiXFZeGM6E62I5qhaomXA67K8qBjPotSdcvOmogBIYEtlwyzfHL0kVQxkm1hSl/PxT65R+zxv2tqHNIwYzpBbQ07P+hjN4/ME+2xBlkqs4H8DA5agiCFeo0T5rIhOuvdvP6aiUMQzCEWWA09Z/rxe1US4PioiIdKUsnHHD6ajaoGbC6fD9NFHbCj2INx1VEH3h3tl+AN1xfj41CJfCUAZBDGfY1NSu9mjMtUw4ILL2e5f+iqCcSVLKVokyTWTCNbclzoTTejKCCLgpPeE4HZUyg6/KRBng7OegCIi8+Th0eOWeiCiXiZ5wnd4Aevz6DJ4YiSjl1GOmjzNB2wqtk2U54UTSSTXFqCnJR7c/iHf/dbDP/WIy6sTa1INwY8qdKHFY4QuEsOaLw/3ui9E5+6m8iC75kySpz/cRpVt1OAjn7gkkfF3TfDlqflQ5KjPhKEMYhCPKAGfCwQzavgJERETxFeVZYAtPtR6uvnCf7G3Dyb9Ygb9s2Dcsz6cner6opedMOI8viEBIBhA/8CVJkpoNt3xzS8x9Xd4AdoqhDEPIhJMkCVPrSgAArW6l/C3XBjMAkR7EvSsvOJSBhlthnhWF4fWWaDiD5stR86IGM7AnHGUIg3BEGeAIHxTFzYRjo1wiIl2SJAllBWI4w/CUpL744R4c6vRh2ab4/bVymdp4XocXtRwJ2lZonciCs5ol5FvjB0DPn6QE4d7edgDeQCTQuLXFDVkGqovyUBHusZiqqaNKY74uyc+9nnBi7fctR+WxJg0/kQ2XqC9cl+Yz4cJBuB5OR6XMYRCOKAPElcf4PeE4HZWISK/KwyWph4cpE27tziMAgAMdnMjam5oJp8P300QZ81rX5omUovZX6ji1rhRVRXZ0eAN4b8ch9fZ0DGVQnyPcF04o3vopENTf73Mo+hvMoPVABxmTq0QZztCcYEKq5stRxXTU7gA6wuWoWs3aI/1iEI4oA0SZSfzpqMGYbYiISD9EJtxwDGc44O5RS/cOuBNPnMtFus6Es0emo4bCpZ160a6WaPWfHWIySTjvRCUbLjqLU+0HV5N6KaowZcNqSHJI/brkqm8C9fVAY+OQH1svIpUXscebXTqeHEz65SpKJhNOWasFGr14EpMJl8RrHVEqGIQjyoBEDZc9aiNpbb75EBFR/8qcSibcwWHIhFu3+4j6+cEOr+6CNZkmAg167AkXHTjs1tmQj0RDGaKdP8kFAFixdT/8QSVYtqXJDWBo/eAAAI2NKLp8HsYf3qveVNzdATQ1AfPm5UwgztlPJpzWs43ImFwlShAumZ5wBXZtBrZE6Wmbx48OL8tRKTMYhCPKgERlJp1qI2keGBER6U154fBlwolSVAAIhGQc8QxPHzq98Oi471We1QRRydmls75wIjukZIAg3FfqR6C8wIb2bj/WfHEY3b4gPj/QAQCYNITJqAgGgQULAFnGtKbtAABTKIgCXzcghwPVCxfmRGlqgS1++xMOZqBscBWLIFwy5ajavHgiLi7sd/eoLycsR6V0YxCOKAPUTLg4B9YiMMcDIyIi/SkPZ8INx3TUtbsOx3y9nyWpMfSc7SNJEhzhoQbdOusLl2wmnNkk4dxwSeobm1uxrdWNkKz0VawcylCG1auBfcq04KnNnyn70tMJE8JnzLIM7N2rbGdwYu33KUdVA9TaDHSQMbmKlZ5wyQxm0Op5kJiEKiZA2y0m5PUzgIYoVQzCEWVAf+UBQFQmHA+MiIh0R82E68psEO5Ilw//2t8JIJJdwOEMsTw673vlsPffP1bLkg3CAcD5E5Ug3FtbWvHp3jYAwKSaon4HOiSlpUX99LTdn8AW8GPCwS8TbmdUAw5mYNUFDSPxXtXcFj8TLhiSNZ+M0Lv0lP3gKBO0ufqJdE6UmvqDMnyBEGyWSLw7ctLAPz8iIr0RPeEyXY66bpdSinpMZQFqSvPR0t7D4Qy9dIVP5hwaPZkbiNNmxkHEn6SuZW3dytpPJgh36tgyFOdbcbjLh//39jYAwMRAm1Iqak4xeOpyqZ/WuQ/g3SeuQ0l3Z8LtjCoymKFXEM6n3yxR0q/qcBDO3RNAlzfQZ/1FVwhpdW3mWc2wWUzwBZQ+lkUsRaUMYCYcUQZEX5XvfXVSzz1siIhynZiOmulyVFGKOmPsCFQVhjPh3MyEE/zBkHqSpNdMuPwE/WO1rL073Kw8iSCc1WzCuU4leLzLo5R3TfzVnUObYjp7NlBbC9FUz9VxGPmBqL8NSQLq6pTtDE4cS/YO5HbyWJOyoDDPisLwmos3nEGcE1lMEuwW7YYhorPhmAlHmaDd1U+kYxazSX1z6d0XLjKYQZ8nDUREuayiQMmEO9LlQzCD00pFJtwpY8pQWaQ85/4OZsIJ0YErvQ46EsFDvWXCDaYcFY2NOP93v4i5aVLrjqFNMTWbgcWLlc97l7WKrxctSj3TTkcK+ilp9qh9t4z/OyBtEdlw8frCdUX18RxSSXqGib5wACejUmYwCEeUIZGrk70OjHy8OklEpFelTiUTLiQDRzM0rbS924+tLW4AwKljRqCyiJlwvYnAldUsxbR80BO994QrcdgSbxieYnra7g0o9HYBAEZ42uHqODT0KaYNDcDSpUBNTezttbXK7Q0Ng39MHRKtTXqXo+p5aAnpm6tEGc7QHGdCakePtocyCMyEo0zT51ELkQ444/TpkGU5qk8Hr04SEemN1WxCiUM5KM9UX7iPdh+BLANjyp2oLMpDVaHIhGMQThCBK71mwQH6zYRzJ5sJF55iag8G8G871gEAJrbugJr/MtQppg0NwO7dwMqVwHPPKf/u2pUzATggwWAG9h+mLHEVJcqE0/ZQBiE68MaecJQJXFVEGSIOfDxRV7i7/UH14i8PjIiI9Km8wI42jx+HO70ACtP++KIUdcaYEQCgZsId5GAGVZdXHxkVieSrQTh9ZsINGISLmk76nbWv4LPy0bjy49cTbjdoZjNw5pmpf7/OicEMHl8QoZAMk0kJcXaxJxxliatEeb+K1xMukqGp7USE6MAbM+EoE/jKTJQhoudbdE84cVAkSUC+VdtvQEREFF+Z04YdAA5maDjDB2o/OCUIVxXuCXegwxtzop3LxHurnvuriotxXToKwsmynHwQLmo66fEHd+ONJ28acDsanOggtMcfVL/WS7CDjMdVLIJwfctRxbos0HiftdhMOG3vK+kTy1GJMsQZp0RAfO6wmnkSRUSkU+Xh8tBMlKN2egPY3NQOAJgxtkx5vgI7JAkIhOSM9aHTG5Fl7tBxpo+axeTVTzlqpzegDiQZMAjXa4ppHzk0xTRT7BYTzGr2W2QdeQyQKUr65CpWesIlGsyg9YEh0a9t0UMaiNKFQTiiDIl3hVu9cs+DIiIi3SoPD2c43JX+TLiPvzyKYEhGbWk+asINrq1mE8rCz7mfwxkARPe80vbJXCJ6zIQTWXA2swl51gFOIzjFNOMkSVL/BkSWUSgkq2uK5ag03EQmXHNb/5lwWm/JEzOYgZlwlAEMwhFliLjCHXNl0qePhqRERNS/sgIlE+5QR/qz0tbuOgwgUooqVBSGJ6R2sC8cEHk/1fNgBlFK262jwQwiCFeUb4XUX4ZbNE4xzbjelRcefySoq/VgBxlPdTgI5+4J9B0YopOpvUX2SIik6F9bU5vgTJQAg3BEGSICbdFlJuIKkJ572BAR5brycBAuE5lwa3cq/eBOHVMWc7vaF46ZcACiT+b0+37q0HEmnJgQnBROMc0oZ68+cOJvwyRh4GxFojQrzLOiMLwmew9nEGu0UMsTRxsbUXTLD9QvCxd+D6ivBxobs7dPZDga/gsg0rd4B9eihw2vTBIR6VdZgVIaejDNPeG6fUF8uq8NADBjbGwmXGWhGM7ATDjAGJlwTnWypX4y4dzJDmXoLcenmGaSU73oq/xNdEZlGyWVrUiUZtXFeeg40InW9h6MryxQb+/UeiZcYyMwbx6K6qeqNxX1dAFHm4B585i9S2nDyyNEGVIQpxzVCFfuiYhynZoJl+bpqBv2HoU/KKOqyI5RIxwx91UVKSU+7AmnED3htN7gOxH1Yp1Xf5lwgw7CUcaox5vhvwkRjGPrE8oWV7ifae8JqZouRw0GgQULAFlGUU+nenORtxOQlWE0WLiQpamUFgzCEWVIvEw4DmYgItK/8nAmXLqno4pS1BljyvpksDATLpY6bVzHmXCRnnD6Oalr8zAIpzWiukJkGWk+24gMzxW+aNRvOaoW1+bq1cC+fQCAIm+XenNRT/hzWQb27lW2IxoiDf4FEBmDWmYSbzCDjk8aiIhynRjM0O0PossbSNvJrhjK0LsUFQAqmQkXQ23voOtMuNgMJj1gJpz29B7MoGYbsf8wZYmrpL8gnIan9ra0qJ9WdxyG0+tBSU8n8oL+frcjSpUG/wKIjKF3o9zozx06PmkgIsp1TpsZeVYTevwhHO70peWEwhsIYsOeNgDAjDFxgnDhTLiDHQzCAVGZ5Tq+qKX28tJRJlz0dFTSBhGIFgEO8behyUAH5QRXsQjC9VeOqsHzIJdL/dTp78EbS74Pe+8AXK/tiFLFclSiDBHlAZ6YwQyBmPuIiEh/JElCmTMcFEtTX7iN+9rhDYRQXmDDuIqCPveLnnAHOnoQCslpeU49E++tmjyZS5LIhNPTYAZ1OiqDcJoRGcwgMuE0nG1EOcFVrPSEa+2VCdellqNq8PVj9mygthYIt4IY1b4fVZ1HIvdLElBXp2xHNEQMwhFliFpmEj2YwccDIyIiIygvTO9whrU7lVLUU8aMiDvRUAyD8AdlHPWktxedHhmjJ5yy7z3+EII6CayyHFV7CtQexLHlqBzMQNkiMuGa22Iz4Tp7NJwJZzYDixcrn/d+DxZfL1qkbEc0RAzCEWWI2qPDx+moRERGU+4MD2foSk9AbO0u5Yr7KfV9S1EBwGYxoSz8nAdYkhrJhNN1EC5yLKCXbDg3g3CaE2l/Egz/KwLUPNak7KgOB+HcPQH13EeW5aip1hp93W5oAJYuBWpqYm+vrVVub2jIzn6R4TAIR5QhkfKA6Omoyud6vnJPRERAWXhC6qE0BMT8wRDWf3kUADBjbFm/21WEs+/2uzkhNdL3Sr+BBrvFBLNJybDQS184NRPOwSCcVoi/gd6DGTQb6CDDK8yzqhNQxXCGbn8QIuFX0xVBDQ3A7t3AypXAc88p/+7axQAcpZWG/wKI9E09KPIFIMsyJEmKOjDS70kDERFFykPTkQm3uakdHl8QxflWTKgq7He7qqI8bG/tME4mXDAIrF6tTJtzuZReO0mW+hih75UkSXDYzOjoCegmCNfGTDjN6T0IjIMZSAuqi/PQcaATre09GF9ZoJaiSpIOsjTNZuDMM7O9F2RgzIQjyhBRIhOSlX4vgDF62BAREVAWDsIdSkNPuHXhUtSv1I+AydS3H5wgJqQeMEImXGMjUF8PzJkDXHGF8m99vXJ7EroMUnIXr3+sVoVCMstRNSgyZZeDGUg7XCXKcAYxIVUEiQtslrh9T4lyCYNwRBmSb42cGIirkh4OZiAiMoRyUY6ahiCc6Ad36tj4/eCEyIRUnWfCNTYC8+YB+/bF3t7UpNw+QCAuEAzBG1Aubum5JxwQf5K6VnX6Amo5GYNw2iHKTkXwjVUXpAWu8PuVKEdlcJgogkE4ogwxmSQ4bfH7dOi5hw0REUWVo3YOrRw1GJLxYTgIN2NM//3gAKCyyAA94YJBYMECQFaiOZ+Vj0bjiXMgA+ptWLhQ2a4fHn/kPofO308dUa0rtK7do2TB2S0m5Fn1/Xs3EpFNKTKNOll1QRrgKokNwqmZcHlcl0QMwhFlkKP31UnRp4MHRkREulaWpky4bS1udHgDKLBbcLyr/35wAFBZaIBMuNWrYzLgfvS1hfjhhTdjbd1E5QZZBvbuVbbrhxh4ZDFJsJn1fSjrsCrHA906yIRrZymqJkUy4WJ7wnEwA2WTq1gE4WLLUZkJR8QgHFFGqZlwvgCCIVntDcc3ICIifROZcEc9fgSCoZQfR5SinlxfCssAASWRCXfAreMgXEtLzJe7RtQAAD4eeVzC7aKJIIPDZtZ9byGHXT894dgPTpsiPeGCCIVklv2RJriKlZ5wrWo5KsukiQQG4YgyyBl1dTK61ETvjaSJiHJdqcMGEf854km9JHXtzsMABi5FBaJ7wvVAFqWbeuNyqZ+6bQ502h0AgE2uY/rdrjeRCWeETB899YRjJpw2Rf8dePxBtj4hTRCZcM1tvTLhWA1ExCAcUSZFH1yLkwazSYLdwj89IiI9M5skjHCES1I7UgvChUIy1u1WMuFOGZN4KAMAVISz7/xBGUfD/bl0Z/ZsoLYWkCS0FFWoN2+sHq98IklAXZ2yXT/UnlcGCMI5bPrpCdfGIJwm2S0mmMNTlbu8gaiMI/3/fZB+VYeDcO4eZU2yJxxRBCMBRBkkrkJ2Rr35OA1QPkNERFHDGbpSKw/9/EAn2jx+5FvNmFxbPOD2NosJI5xK4O9Ah06HM5jNwOLFAIDmqCBcU3EVDjvCv4NFi5Tt+uHxRd5P9U4E4dgTjlIlSZK6jjp6AugKryUOZqBsKsyzojAcCG5p72FwmCgKg3BEGSSu0nu8gchJA998iIgMYajDGdbuUkpRp48uhTXJAQOVhWJCqo77wjU0AEuXomXU+JibN008FVi6VLk/ASMFGXoPcNIyNQjnYBBOa0Rg42DU0BYGOyjbRDZca3sPBzMQRWEQjiiDIoMZgmyUS0RkMGomXGdq5ahrdyZfiipUir5wbp1mwgkNDWi59c6Ymzbd+8iAAThAubAFGKPnlThO8OigHJWZcNolji1FhqxJAvKsPM2j7HKVKMMZWtq7mQlHFIWvzkQZFDOYwWuc8hkiIorOhBt8EE6WZXUy6oxBBOGqwplwBzp0nAkX1hzO5hPBzI3N7qS+z1CZcOGfoYvlqDQEzl6ZcE67ha1PKOtc4YtGLVGZcAzCETEIR5RR0YMZRNNlI5w0EBFRJHiUSjnqzkNdONTphc1iwpS6kqS/r7IoHITTeyYclOwIADjnhCoAwKZ97Ul9n5Ey4SI94bSfCedmEE6zCsJ/C/vDrwsMdJAWuEqig3CsCCISGIQjyiDxRtPpDbAclYjIYMrDmXCHBxOECwaBVauw9sXlAICpdcXIsyYfTKoKZxbouidcWEu7EjA454RKmCSg1d2TVHDRUJlwOuoJ1+ZhEE6rxN+CeF1wsOqCNMBVLIJw0eWoXJtEDMIRZZC4Su/xRQ9m4JsPEZERlDnFdNQky1EbG4H6emDOHKx78wMAwIy/PaPcniR1MINep6OGybKM5jYlE25cRQHGVxYAADY1DZwNZ6RBR+wJR+kgMt+YCUda4ipWesK1tvegs0cE4fj6QcQgHFEGqb1evJHBDEa4ck9ERFE94ZLpz9bYCMybB+zbBxnA2rqJAIAZW95Xbk8yEBcZzKDvTLijHj+8gRAAZYLepJoSAMDGJEpSOw3UY9UR1bZC6xiE0y5xgTe6JxxRtolMuOa27qjpqPp/3SYaKgbhiDJIpFx3eQNqTzimYRMRGYPaE67LB1mW+98wGAQWLADC2+wtrkJLUQUswQCmNW1Xtlm4UNluACIT7mCHN/FzapzIgisvsMFuMWNybTGAJDPhxEUtAwQaHGomnLaDcKGQDHdPOAjnYBBOayLTURmEI+2oDgfh3D0BtXcqszSJGIQjyqjoqWeiFwIz4YiIjEEE4XyBEDq8CcoJV68G9u1TvxRZcJNbP0d+wKsE5/buVbYbQEU4COcLhtQeXXok+sGJcqVJ4SDcxn3tAwYXxUUtI2TCiayQLo2Xo3Z4AyKGzEw4DSqwRXoQA8b42yD9K8yzojAcdBOZzwV5PA8iYhCOKINie8IpV7l5BYiIyBjybWb1ZPdwZ4K+cC0tMV++eewsAMCpezYl3C4eu8WM0nAmkp77wonJqKJc6QRXEcwmCYc6vWgdYDiDx0iDGUQ5qsYHM4jJqHlWE+wWBni0pndWKDPhSCtENpzAtUnEIBxRRjnVqWcB9eqkg+WoRESGURbOhks4IdXlUj/9sqQab4//CgDgPza/3e92iVQZoC9cc5sSaBtZomTC5VnNOLaqEMDAfeG6DNRbyBkOwvmCIfiDoSzvTf/YD07berc64QVf0gpX+DVecBrg4gnRUDEIR5RBzqjBDOo0N775EBEZhjqcIVEQbvZsoLYWkCQ8Ne1CyJIJZ+z8COOONCn3SxJQV6dslwRRkrp/gIwxLeudCQcAk2vCfeEGCMIZKRMuP6psUMt94UTpM4Nw2tQ7u4jZRqQVrqLIa3y+1QyzScri3hBpA4NwRBkkDoK6/UF09ARibiMiIv1ThzMkKkc1m4HFi9Fpy8fLk88BAFzz0d+U+6TwCcmiRcp2SVAz4ZKZyqpRLeFMuOgsCbUv3ADDGTzqoCP9v5/aLCZYzcoa8Gi4Lxwz4bSNQTjSKldJJAjHfnBECgbhiDLIEXWFWx0bz2a5RESGUZ5MJhwANDTgld88iw67E2MP78NXd21Qbq+tBZYuBRoakn5OMSH1gI4z4ZrDmXAjozPhxITUfW0JhzOo7R0M8n7qiMqa16pIEM6W5T2heHpXWfBYk7QiOtvZCBdOiNKBfwlEGWS3mGA2SQiGZDUI17t5LhER6Ve52hMuQSYcgFBIxpNdJQC6cPXpY2E661mlB9zs2UlnwAl6z4QLhWS1lDY6E25CdSGsZglHPX7sO9qNuhGOPt8bDMno8Su904yS7eO0mdHe7Ue3hstRmQmnbb37Ixrlb4P0T0zABozRx5MoHfgKTZRBkiTBaTPD3RNAIKRc1e/dPJeIiPSrzKlkBh3uShwQe/dfB7HrUBcK7Rb8x+VzgCGcJFfqvCfcoU4v/EEZJgmoCv8sgDL59bjqImxqasempva4Qbjokk2jZMKJvnBdLEelFPXOMGLGEWkFM+GI+mI5KlGG9b4aaYRG0kREpBDTUQ91JM6E+/N7uwAAl36lbshZKpU6z4RrbleCh5WFebCYYw9FJ4aHM/Q3IVUMLzCbJNgtxjiMFeuBPeEoVewJR1pVXRApYS/oaAeC2s34JRouxjh6IdKw3lfqeWBERGQc6mCGBJlwOw50YPXnhyBJwFUz64f8nJGecN6EvdO0qqUtPBk1qmG3oPaFa2qL+71dUf3gJMkYU/bEcYK2e8IpQebifB7DaFHvDCOW/ZEmNDai8LjxKPR2AQCcq94G6uuBxsbs7hdRljEIR5RhvQ+MjFI+Q0REkcEMiXrCPfn+bgDA2cdXYVRZ3xLLwaosUoJwvmBIzVDSE5EJNzKqV5AwKSoTLl6AUWTC9W5Er2fiZ9FFTzgHM+G0yG4xwRQVkzbS3wfpVGMjMG8esG8fqjsOAQCcvm6gqUm5nYE4ymEMwhFlWHT5qc1igtXMPzsiIqMQmXDt3X74AqE+97d7/HhlfRMA4JrT6tPynHaLGSXhYMh+t/5KUlvDk1GjewUJx1YVwmYxoaMngC8Pe/rcLzLhjJTpw55wNFSSJMVUWrDqgrIqGAQWLADCF1JcbiUIV+jzqLdh4UKWplLOYjSAKMOiD4TYkJSIyFiK860wh1NQjnT1zYZ76aO96PYHMaGqEDPHlqXteasKRV84/Q1nEJlw0ZNRBZvFhONdRQCAjU19+8KJQJWRggwia8mjh0y4fNsAW1K2FPB4k7Ri9Wpg3z71y9FtLQCAMk+bcoMsA3v3KtsR5SAG4YgyLPpqPUtRiYiMxWSSMCI8IfVQZ2xWWjAk46k1uwEoWXDp7GEmSlL1mAknesKNjJMJBwCTwyWpm/a19blP9E0z0vupwy56wmk4E87DTDitE4FpkwTkWXmKR1nU0hLz5Xc/WIpb3n0Kl25ckXA7olzBV2iiDIsuR2WPDiIi41GHM/QKwq3Yuh/7jnajxGHFxVNr0vqclTrOhGtJkAkHAJNq+5+QKiaIGun9VOuZcKGQjI5wgJBBOO0SQTin3WKYoSWkUy5XzJcjOw7hxg9eRklPZ8LtiHIFg3BEGVYQlQlnpB42RESk6G84w5L3dgEA5p8yCnnW9L7+VxVFJqTqSSAYwn63GMzQTyZcOAi3uakdoVDscAY1E85A5XaiJ5xHoz3hOnoCahsnBuG0yxleR0YKUJNOzZ4N1NYC/QWDJQmoq1O2I8pBDMIRZVhMJpyBThqIiEhRFqccdWuzG2t3HYHZJOFbp45O+3NWFopyVH1lwh3o8CIkA1azpGYQ9ja+ogB5VhO6fEHsPNQVc18kE844F7Wc6mAGbWbCtXUrweV8qxk2C08dtEoNwnm7gFWr2PSessdsBhYvVj7vHYgTXy9apGxHlIP4TkqUYdHZb7w6SURkPCKYdDhqMMOT7ytZcOdNrMbIfsouh6KqSJSj6isTriU8GbWqKA8mU/wsCYvZhBNHhvvCNbXF3CcCVQ4DvZ+KrL5ujQbhOBlVBxobUbDsbwCAgl1fAHPmAPX1QGNjdveLcldDA7B0KVDTqxVDba1ye0NDdvaLSAMYhCPKsOjsNwfLUYmIDKdM9IQLB8QOd3rx6ifNAID/Oq0+I88ZGcygr0y45rZwP7h+SlGFSTXx+8J5wr3JCgz0fiqGTGh1MIMIwpU4GITTpMZGYN48OI8eBgA4fUqgG01NwLx5DMRR9jQ0ALt3AytXAs89p/y7axcDcJTzjHMZkUijnBzMQERkaKIn3KFwJtwLH+6FLxDCpJpiTBtVmpHnjAxm8EKWZd00YheZcK7ixNmBoi/cpl5BODUTzkDtHbQ+mEEE4YqYCac9wSCwYAEgy3D6lQC3wx8OwsmyUvq3cCFw0UUs/aPsMJuBM8/M9l4QaQoz4YgyLDoTjj3hiIiMRy1H7fTCHwzh6TVfAgCuOa0+Y8GxinBPOF8gpAZJ9EDNhCtJnAkngnBbmt0IRg1nENliRuoJp2bCaXQwA8tRNWz1amDfPgCRDLgCkQkHKIG4vXuV7YiISBMYhCPKsOgTBSOdNBARkaKsIDKY4Y3NrWh196C8wI4LJrsy9px5VrNaHqinvnAiE27kAJlwY8oL4LSZ0e0P4ouDnertRuwJ52RPOEpVS4v66ZwvPsTYw3tx/mfvJdyOiIiyi0E4ogxzxPSEM85JAxERKcrzldf2w+4eLFn2KQDgmzNGwW7J7IUXPU5IbWlPriec2SThxDh94URPOKeBesLla70nnIdBOM1yRQL9k/Z/gXf++F3M/fyDhNsREVF2MQhHlGEFlkgpUsHuHRwZT0RkJI2NGDFtEgAgAAkb2kOwBgP45uHNGX9qdUKqWz+ZcKIcNZmJsZNrRF+4NvU2Q2bCRfWEk2V5gK2HHzPhNGz2bGXaZH9l75IE1NUp2xERkSYwCEeUSY2NcJwZOfBx3HsPR8YTERlFeCph3p7dKOyJlEx+fds/UHlF5qcSir5w+zv0kQnnDQRxqFMJGA6UCQcAk8J94TY2RWXC+YyXCScmpwdCMnzBUJb3pi8G4TTMbAYWL1Y+7x2IE18vWsShDEREGsIgHFGmiJHxX+5UbyrwdXNkPBGREURNJQSAck8kUHTNR39VPlm4MKPZz3rLhNvfruyn3WLCCKdtwO0n15YAALY2u+EPB6e6vMrv00iDjhzWSIBEi33hRBBO9CAkjWloAJYuBWpqYm+vrVVub2jIzn4REVFcDMIRZULUyZnDH8lQcPi61RO2TJ+cERFRBkVNJQSAMk8bAGD6vq2YtP+LYZlKKHrCHdBJJlxzeCiDqzgvqamxo0c4UJhngTcQwuf7lUxDNRPOQOWoFrMJNotySN6l4SBcETPhtKuhAdi9G1i5EnjuOeXfXbsYgCMi0iDdBeG8Xi9OOukkSJKETz75JOa+jRs3Yvbs2cjLy0NdXR0efPDBPt//8ssv47jjjkNeXh4mTZqEZcuWDdOeU06JOjmzhoKwBXwAAKcIyHFkPBGRvvWaNji9aTtMoSC+t+alhNulk94y4VrUINzA/eAAwGSSMEn0hWtqQygkw6P2hDNWeZ2Ynu7R4HAGlqPqhNkMnHkmMH++8i9LUImINEl3Qbgf//jHGDlyZJ/b3W43zj33XIwePRrr16/Hr371K9x111144okn1G3ef/99zJ8/H9deey02bNiAiy++GBdffDE2b85882TKMb1OusYcbYYt4MdI98GE2xERkU70mjZ4y7tP4YPfXoU5Oz9KuF06VeqsJ5wYyuAqGbgfnKD2hdvXDo8/kiVmpHJUIDJoQsuZcAzCERERDZ2ugnBvvPEG3nrrLfz617/uc9+zzz4Ln8+HP//5zzjxxBNx+eWX46abbsLDDz+sbrN48WKcd955uOWWW3D88cfjnnvuwbRp0/C///u/w/ljUC7oddL13PM/wfI/34gR3e6E2xERkU70mkpokUOo7GqL3D8MUwmjM+G0OFWzN5EJNzLJTDgAmFxTAgDY1NSuZomZJKWvnJGIQROi3FYrgiEZHT3KPjEIR0RENHS6OYLZv38/vv3tb+Ppp5+Gw+Hoc/+aNWvw1a9+FTZbpNHv3Llz8dlnn+Ho0aPqNmeffXbM982dOxdr1qzp93m9Xi/cbnfMB9GAep2clXW7MfZoc+R+jownItI3DUwlFNNRvYEQ3N3aCt7E05JCJtzkcCbcthY3jnqUjCynzZJUTzk9yQ9nwnm82sqEc4ez4AAG4YiIiNJBF0E4WZZx9dVX44YbbsDJJ58cd5vW1lZUVVXF3Ca+bm1tTbiNuD+e+++/H8XFxepHXV3dUH4UyhUaODkjIqIMy/JUwjyrWQ2M6GE4Q3O7so+DyYSrLc1HicMKf1DGhj3KRVWH3XjvnaInXJfGMuFEKarTZobVrIvTBiIiIk3L6rvpbbfdBkmSEn5s374djz76KDo6OnD77bcP+z7efvvtaG9vVz/27t077PtAOsWR8URExpflqYRqXzgdDGdQBzMMIhNOkiLDGT7YeRiA8frBAZGecN0a6wnHfnBERETpldWjmJtvvhlXX311wm3Gjh2Ld955B2vWrIHdbo+57+STT8Y3v/lNPPXUU6iursb+/ftj7hdfV1dXq//G20bcH4/dbu/zvERJa2gALrpImYLa0qL0gJs9mxlwRERGIqYSZkFVUR4+P9Cp+Uy4bl8QbeFy0mSnowqTa4ux+vNDWCOCcDbjBeFETzitDWYQQbgiBuGIiIjSIqtHMRUVFaioqBhwu0ceeQS/+MUv1K+bm5sxd+5cvPjii5gxYwYAYObMmbjjjjvg9/thtSoHCitWrMCECRNQWlqqbvP2229j4cKF6mOtWLECM2fOTONPRdRLFk/OiIjI2PSSCdcczoJz2swoyhvc4eek8HAG8TM6bMa7kCV+JjF8QiuYCUdERJReuriUOGrUqJivCwoKAADjxo1DbW0tAOCKK67A3XffjWuvvRa33norNm/ejMWLF+M3v/mN+n0LFizAGWecgYceeggXXHABXnjhBXz00Ud44oknhu+HISIiIkqTyvCE1P1ubWfCRYYy5A96qIIYziAYuRxVa5lwbQzCERERpZVhOqwWFxfjrbfewq5duzB9+nTcfPPN+NnPfobrr79e3WbWrFl47rnn8MQTT2DKlClYunQpXn31VUycODGLe05ERESUGpEJd7BDH5lwruLk+8EJruI8lBfY1K+NmAknBjN0a2wwg5tBOCIiorTS5aXE+vp6yLLc5/bJkydj9erVCb/3kksuwSWXXJKpXSMiIiIaNlU6y4QbzGRUQZIkTBpZjJX/OggAcB45CASDhuqv6rBrMxOO5ahERETpZZhMOCIiIqJcU1mkZMIdyGQmXDAIrFoFPP+88m9w8IGiVCajqhobMWnpEvVLx6uvAPX1QGPj4B9Lo9SecBrLhGsPD9MocTAIR0RElA4MwhERERHpVFVhJBMuXpXAkDU2KgGvOXOAK65Q/k0hANbcnmImXGMjMG8eJv/rY/Ump68baGoC5s0zTCBO7QnnTSLAmYagaLKYCUdERJReDMIRERER6ZTIhPMGQnD3pDmLKhwAw759sbenEABraUshEy4YBBYsAGQZk/bvUG92+roBEXBcuDCjQajhEukJN8DPkqagaLJEEK6IQTgiIqK0YBCOiIiISKfyrGYU5SlZVAfS2RcuKgAGAPsLRuCQIzylNIUAWEs4E841mEy41avVAGBV5xFUdhwGADh9PZH92LtX2U7nHFZlYmzX/oP9Z7elMSiaLGbCERERpReDcEREREQ6JoYzpLUvXFQArKmwAmdf9zi+ftUi+E3hYQiDCIC5e/zo9CpZeiMHkwnX0hLz5al7NymP4T6YcDvdaWyE44rLAQCeptb42W3hoKgsy2gqrMCK8adgg+tY5b4MZgUyCEdERJReupyOSkRERESKyiI7Pj/Qmd4JqVGBrQfPuAoddic67E5sdB2D6U3b427X70OFJ6MW51vV3mdJcblivvz5it/h0o0rMOvLjQm305Vwdpujoh4A0GUNBymbmhC85FLs+n8vY8uJp2DLB1uw5bQbsLVyDI6GMxKtQT/e/f23MbLjUGxQ9Mwz07Z7DMIRERGlF4NwRERERDomhjOkNRMuHNja4DoWfz3xTPXm90dNiQ3CJREAaxaTUYsHORl19mygtlYpt5RllPR04vQvP43cL0nK/bNnD+5xtSKq5FeU2LbnFeCn59yALVXjsK1iDLo32YBNnyjb158EADCHgrAEA/Ba7VgzajL+Y8s7kcdMY1ZgIBhSMxhLHLa0PS4REVEuYzkqERERkY5VhIczpDUTbvZsyLW1uOffvg0AKOtqAwC8P3qycr8kAXV1SQXARCbcyJJBTkY1m4HFiyPPF018vWiRsp0eRZX8On1KoNJrtePpaRfi45rj0W3LQ76vB1OLTfjPOgvuX/4o/vbUQmx5eB6uXv9/AIC1oybGPmYaswKjB32IvoNEREQ0NAzCEREREelYRjLhzGa89rNH8XHN8cj39eDRv/0SALC+5nj0WJWgX7IBsJZUM+EAoKEBWLoUqKmJvb22Vrm9oWHwj6kVUVlrFZ42/NeHr+L03Rtw/dpXsPhvv8Lf/3gDNi+6FH+pb8Mvbjgb8w9vweT9XyAv6MeMvZsBAOtqw0G4QQRFkyVKUQvsFljMPGUgIiJKB17WIiIiItKxynAmXDqno/b4g3jgcBGAbtyw7S3M3LMJVR2Hsb+wDB9PmY1Zt3836QBYc6qZcEJDA3DRRUrmWEuLku01e7Z+M+CEXllrP3vnj/1vJ7IC580DJAkn79sKSQ5h94iR2F9YhqrOI2nPCmQ/OCIiovTjZS0iIiIiHcvEdNQ/v7cLTW3dcBXn4frGRyGtXInTRhUCAN6/55FBZaANKRNOMJuVgQPz5yv/6j0AB0R63vUutRV6Z7dFZQUW+Tw4Yf9OAMAHU76akazANo8PAFDEIBwREVHaMAhHREREpGOVhZGecLIsD/nxDnZ48duVXwAAfnzeBOTn24Azz8TMfzsZAPD+ziODeryWdiUTzlWcYiacUaXS866hAdi9G1i5EjMm1gEA1v3groyU5UYy4Vg4Q0RElC4MwhERERHpWGW4J1yPP4QOb2CArQf28IrP0OkNYEptMS6aEunFNnNcGQDg033t6OjxJ/VYsiyjuU3JhBtZMoRMOKNKpeddOCtwxvmzAABrdx/NyK65WY5KRESUdgzCEREREelYvs2MwvD0yqH2hdvW4saLH+4FAPzPhSfAZIpkaNWWOjC6zIFgSMaHu5PLhjvq8cMbCAEAqodSjmpkUdlteO455d9duwbMbvtK/QgAwI4DnTjUmcahHGEiE64k35b2xyYiIspVDMIRERER6ZzoC7ffnXowRpZl3Pv6NoRk4IJJLjXIE21WOBvu/R2Hk3pMkQVXXmCD3WKAPm6ZkkLPuxFOGyZUKX36Ptw1uBLhZKjlqA5mwhEREaULg3BEREREOif6wh3oSD0T7p3tB/DPHYdgM5tw2/nHxd1m5rhyAMD7XyQXhGM/uMyaMVYJlK7NZBCO5ahERERpwyAcERERkc4NNRPOHwzh3mXbAAD/dfoY1I1wxN1u5lglE25rixtHu3wDPm5aJqNSv04Zk/kgHKejEhERpQ+DcEREREQ6p2bCpRiEe/aDL7HzYBfKnDbcOGdcv9tVFNrVEsgPdg6cDdfcpmTCjSxhJlwmiCDc9lY32j3JDctIVpuHmXBERETpxiAcERERkc5Viky4FMpR2z1+LHr7cwDAD889FoV5iYMuYkpqMiWprcyEy6jKwjyMrXBCloF1SQ7LSBbLUYmIiNKPQTgiIiIinROZcAeTzYQLBoFVq4Dnn8cjT72DNo8fE6oKcdnJdQN+qxjO8N4Xhwbctln0hGMmXMbMCGfDrduVXJ++ZLnV6agMwhEREaULg3BEREREOlc1mEy4xkagvh6YMwe7bvwR/t9OJVvtjpLDsJgHPjScMbYMJgnYebALre2Jn0/0hBvJTLiMmTFGCYqmuy8cM+GIiIjSj0E4IiIiIp2L7gkny3L/GzY2AvPmAfv2AQDuP/Ma+M1WzPniQ3z12v9Q7h9Acb4VE2uKAQBrdvafDRcKyWqQjplwmSP6wm1uakenN5CWx/QHQ+jyBQEwCEdERJRODMIRERER6VxlkRKE6/YH0dFfICYYBBYsAMJBuvdHTcJbx86EORTEHSv/pGyzcKGy3QDUvnA7+i+BPNTlhT8oQ5IiQUJKv5El+agbkY+QDHyUpr5wohQV4HRUIiKidGIQjoiIiEjnHDYLCu0WAAkmpK5erWbA7S8YgXvO+jYA4D83LMP4w/uU4Nzevcp2A5g1rhyAMpyhv8y7lvBk1MpCO6xJlLlS6tJdktoWDsIV2i0wm6S0PCYRERExCEdERERkCCIb7oC7nz5tLS3YUVaLH59/E06/4U/YVjUWhT2dWPDe8322G8hX6kthNUtoauvG3iPd8Z9OnYzKUtRMiwxnSE8QTvSDYxYcERFRejEIR0RERGQAal+4t1Yqk0+jyko/2n0E17WU4uzrfoeXJp8Lv9mKU/ZuxlMv34kR3e7YB3K5Bnwuh82CqXWlAID3+5mS2hzOhBtZwqEMmSYy4Tbua0O3b+By4oFwKAMREVFmWLK9A0REREQ0RI2NqHr7E2DMDOx/6gVgXSNCtXVYcdcj+L23Ah/vaQMASHII537+Aa5f24jpzdtjH0OSgNpaYPbspJ5y5rgyrNt9BO9/cRiXnzKqz/3MhBs+dSPy4SrOQ0t7DzbsOYpZ48uH9HiiJ1yJg0E4IiKidGImHBEREZGehSeeVh1Q+r3tK67EC5PPxdnn3YHvfG7Fx3vaYLOYMP+UUXh7cgC/f/V+TG/5LPYxpHDfr0WLALM5qaedJYYz9NMXrllMRi1mJlymSZKkTkn9IA0lqcyEIyIiygxmwhERERHpVdTE04pOJfjy9LQL1buLejrxrR2rcdUzD6KyxAFgEpC/VPme8JAGAEoG3KJFQEND0k990qgS5FlNONTpxecHOnFsVWHM/S1tSibcyBJmwg2HGWPK8NdPmrF2Z/8Ta5PV7mEQjoiIKBMYhCMiIiLSq6iJpzXug+rNLvdBXPvhq7h841so8HUDn8wDzjxTubOhAbjoIuV7W1qUHnCzZyedASfYLWZ8pX4EVn9+CO/vONQ3CMdMuGE1Y6ySCbdhbxu8gSDslsH9f0ZjJhwREVFmMAhHREREpFdRk0zn7PwI33//BYw9vA8Xbl8NaygYdzsASsBNBOWGYOa4MiUI98VhXH3aGPX2QDCE/W4xmIGZcMNhbLkT5QV2HOr04tO97Wp5airaOB2ViIgoI9gTjoiIiEivoiaZ5gV8uHn1M/jG1lWxAbhe26XTaeOUAQAf7DyMYCjSF+5AhxchGbCYJJQX2DPy3BRLkiTMCAfehlqSykw4IiKizGAQjoiIiEivZs9W+rmJwQq9SRJQV5f0xNPBOnFkEQrzLHD3BLC12a3eLiajVhXlwWzqZ98o7URJ6rrdQxvO0M7pqERERBnBIBwRERGRXpnNwOLFyue9A3EpTDwdLIvZhBljxJTUQ+rtzW2iFJX94IaTKEFd/+VR+IOhlB/HzUw4IiKijGAQjoiIiEjPGhqApUuBmprY22trldsHMfE0FbPGKUG4976IlECKTDhXMfvBDadjKwtR4rDC4wtic1N7yo/DclQiIqLMYBCOiIiISO8aGoDdu4GVK4HnnlP+3bUr4wE4AJg1XgnCfbjrCHwBJftKZMK5mAk3rEwmCafUh/vC7Uq9JJVBOCIiosxgEI6IiIjICMTE0/nzlX8zVILa27GVhShz2tDtD+LTfW0AIplwI5kJN+xOGeJwBl8gBI9PGezBIBwREVF6MQhHRERERCkzmSScGi5JfX+HEvhpaQ9nwhUzE264nTpW+b/4aPfRmIm1yRJZcABQmMcgHBERUToxCEdEREREQ3LauHIAkeEMkcEMzIQbbse7ilBot6DDG8C2FvfA39CLCMIV5Vk42ZaIiCjNGIQjIiIioiERwxk27GlDe7cfhzq9AJgJlw1mk4ST60sBAB+kUJKq9oNzMAuOiIgo3RiEIyIiIqIhGV3mwMjiPPiCIby+sQUAYLeYMMJpy/Ke5aYZ4ZLUdSkMZ3BzKAMREVHGMAhHREREREMiSRJmhktSX/l4HwAlC06SWM6YDTPCwxnW7T6C0CD7wnEyKhERUeYwCEdEREREQyZKUtd/eRQA4OJk1KyZWFMMh82MNo8fnx/oHNT3MghHRESUOQzCEREREdGQzQwH4QRXTzsQDGZpb3Kb1WzC9NFKX7i1uwbXF67NwyAcERFRpjAIR0RERERDNvKdNzDGvT/y9dJngPp6oLExezuVw06pV0pS1+4cXF84dToqg3BERERpxyAcEREREQ1NYyMwbx5mfbFevcnlPgQ0NQHz5jEQlwViOMPaXUcgy8n3hRNBuJJ8DtUgIiJKNwbhiIiIiCh1wSCwYAEgy5j15afqzSM7DgEi+LNwIUtTh9mUumLYLCYc6vRi55MvAatWJfV/wJ5wREREmcMgHBERERGlbvVqYJ8yEfXUPZvUm13ug8onsgzs3atsR8PG/re/YmrTdgDA2sVLgDlzkioPdjMIR0RElDEMwhERERFR6lpa1E/Lut248f0X8Y3N7+DYQ3v63Y4yLFwePGPHRwCAdXUTlduTKA9mJhwREVHmMAhHRERERKlzuWK+vGX10/jN6w/DBDnhdpQhUeXBp+7ZDABYWzdR+d9Iojy4rdsHgEE4IiKiTGAQjoiIiIhSN3s2UFsLSFL8+yUJqKtTtqPMiyoPntr8GaxBP1qKKrCx+hjl/gHKg5kJR0RElDkMwhERERFR6sxmYPFi5fPegTjx9aJFynaUeVFlv/kBL87Y+TEA4KpL78amqnFxtxO8gSB6/CEAQLGDQTgiIqJ0YxCOiIiIiIamoQFYuhSoqYm9vbZWub2hITv7lYt6lf0+9PrDOKl5O9ryi3DF/PvwYc0JcbcDIllwkgQU2i0Z31UiIqJcwyAcEREREQ1dQwOwezewciXw3HPKv7t2MQA33HqVBxd7u/DMiz/FjD2b0GF34spLf45/nnxO3PJgMRm1KM8Kk6mf8mIiIiJKGYNwRERERJQeZjNw5pnA/PnKvyxBHX5xyoMLfN148uW7cMbO9ei25eG/zr4Jf//sUJ9vZT84IiKizGIQjoiIiIjISOKUB+cHvHhi3ZOYWxqET5ZwwzPr8X+fNsd8G4NwREREmcVmD0RERERERtPQAFx0kTIFtaUFcLlgnz0bj0HCLUs34i8bmrDghQ3o9gdx6cl1AIA2D4NwREREmcQgHBERERGREYny4CgWAA9dMgV5VjOeX7cHP166ER5vAFefOgrtG7cBAIo7jwLBIMuJiYiI0ozlqEREREREOcRkknDfNybi2tPHAADu+r+t+O3XvoP2Py4BABS/8RpQXw80NmZxL4mIiIyHQTgiIiIiohwjSRL+54LjcdPIAADgwanfwHNTzgMAFPd0Ak1NwLx5DMQRERGlEYNwREREREQ5SAqF8MNffQ+3rlIy4A4UlgEIB+FkWdlo4UKlNJWIiIiGjEE4IiIiIqJctHo1sG8fvrv2Ffz8rcfVm0t73Monsgzs3atsR0REREPGwQxERERERLmopUX99MoNr2NEdzuWHzsL53y+tt/tiIiIKHUMwhERERER5SKXK+bLC7f/Exdu/+eA2xEREVFqWI5KRERERJSLZs8GamsBSYp/vyQBdXXKdkRERDRkDMIREREREeUisxlYvFj5vHcgTny9aJGyHREREQ0Zg3BERERERLmqoQFYuhSoqYm9vbZWub2hITv7RUREZEDsCUdERERElMsaGoCLLlKmoLa0KD3gZs9mBhwREVGaMQhHRERERJTrzGbgzDOzvRdERESGxnJUIiIiIiIiIiKiDGMQjoiIiIiIiIiIKMMYhCMiIiIiIiIiIsowBuGIiIiIiIiIiIgyjEE4IiIiIiIiIiKiDGMQjoiIiIiIiIiIKMN0FYR7/fXXMWPGDOTn56O0tBQXX3xxzP179uzBBRdcAIfDgcrKStxyyy0IBAIx26xatQrTpk2D3W7H+PHj8eSTTw7fD0BERERERERERDnJku0dSNYrr7yCb3/727jvvvtw1llnIRAIYPPmzer9wWAQF1xwAaqrq/H++++jpaUFV155JaxWK+677z4AwK5du3DBBRfghhtuwLPPPou3334b1113HVwuF+bOnZutH42IiIiIiIiIiAxOkmVZzvZODCQQCKC+vh533303rr322rjbvPHGG7jwwgvR3NyMqqoqAMDvfvc73HrrrTh48CBsNhtuvfVWvP766zHBu8svvxxtbW1Yvnx5UvvidrtRXFyM9vZ2FBUVDf2HIyIiIiIiIiIi3Uo2VqSLctSPP/4YTU1NMJlMmDp1KlwuF84///yYYNqaNWswadIkNQAHAHPnzoXb7caWLVvUbc4+++yYx547dy7WrFnT73N7vV643e6YDyIiIiIiIiIiosHQRRBu586dAIC77roL//M//4PXXnsNpaWlOPPMM3HkyBEAQGtra0wADoD6dWtra8Jt3G43uru74z73/fffj+LiYvWjrq4urT8bEREREREREREZX1aDcLfddhskSUr4sX37doRCIQDAHXfcgf/4j//A9OnTsWTJEkiShJdffjmj+3j77bejvb1d/di7d29Gn4+IiIiIiIiIiIwnq4MZbr75Zlx99dUJtxk7dixaWloAACeccIJ6u91ux9ixY7Fnzx4AQHV1NdatWxfzvfv371fvE/+K26K3KSoqQn5+ftznt9vtsNvtyf9QREREREREREREvWQ1CFdRUYGKiooBt5s+fTrsdjs+++wznH766QAAv9+P3bt3Y/To0QCAmTNn4t5778WBAwdQWVkJAFixYgWKiorU4N3MmTOxbNmymMdesWIFZs6cmfQ+izkW7A1HREREREREREQiRjTg7FNZJxYsWCDX1NTIb775prx9+3b52muvlSsrK+UjR47IsizLgUBAnjhxonzuuefKn3zyibx8+XK5oqJCvv3229XH2Llzp+xwOORbbrlF3rZtm/zYY4/JZrNZXr58edL7sXfvXhkAP/jBD37wgx/84Ac/+MEPfvCDH/zgBz/4oX7s3bs3YUxJkuWBwnTa4Pf7cfvtt+Ppp59Gd3c3ZsyYgUWLFuHEE09Ut/nyyy/x3e9+F6tWrYLT6cRVV12FBx54ABZLJOFv1apV+MEPfoCtW7eitrYWP/3pTwcsiY0WCoXQ3NyMwsJCSJKUzh8xa9xuN+rq6rB3796Eo3Qpt3BdUG9cExQP1wX1xjVB8XBdUG9cExQP1wX1ppc1IcsyOjo6MHLkSJhM/Y9f0E0QjjLH7XajuLgY7e3tml7UNLy4Lqg3rgmKh+uCeuOaoHi4Lqg3rgmKh+uCejPamsjqdFQiIiIiIiIiIqJcDMczGQAAE/VJREFUwCAcERERERERERFRhjEIR7Db7bjzzjtht9uzvSukIVwX1BvXBMXDdUG9cU1QPFwX1BvXBMXDdUG9GW1NsCccERERERERERFRhjETjoiIiIiIiIiIKMMYhCMiIiIiIiIiIsowBuGIiIiIiIiIiIgyjEE4IiIiIiIiIiKiDGMQToMee+wx1NfXIy8vDzNmzMC6deti7v/Od76DcePGIT8/HxUVFbjooouwffv2hI+5atUqXHTRRXC5XHA6nTjppJPw7LPPxmzz5JNPQpKkmI+8vLwB93fVqlWYNm0a7HY7xo8fjyeffHLQPxMNzGjr4vHHH8fkyZNRVFSEoqIizJw5E2+88UZyvwwCYLw1AQBNTU34z//8T5SVlSE/Px+TJk3CRx99NPAvg1RGWxcdHR1YuHAhRo8ejfz8fMyaNQsffvhhcr8MAqCvNdHS0oIrrrgCxx57LEwmExYuXNhnmz/84Q+YPXs2SktLUVpairPPPpvHFSkw2rpI9TWIIoy2JgBg0aJFmDBhAvLz81FXV4cf/OAH6OnpGfiXQSo9rYvGxkacc845qKioUM8v3nzzzZht/vGPf+DrX/86Ro4cCUmS8Oqrryb/yyAA2VsTANDW1oYbb7wRLpcLdrsdxx57LJYtW5bwsTdu3IjZs2cjLy8PdXV1ePDBB/ts8/LLL+O4445DXl4eJk2aNOBjDgWDcBrz4osv4oc//CHuvPNOfPzxx5gyZQrmzp2LAwcOqNtMnz4dS5YswbZt2/Dmm29ClmWce+65CAaD/T7u+++/j8mTJ+OVV17Bxo0bcc011+DKK6/Ea6+9FrNdUVERWlpa1I8vv/wy4f7u2rULF1xwAebMmYNPPvkECxcuxHXXXRfzYpfMz0SJGXFd1NbW4oEHHsD69evx0Ucf4ayzzsJFF12ELVu2pPhbyi1GXBNHjx7FaaedBqvVijfeeANbt27FQw89hNLS0hR/S7nHiOviuuuuw4oVK/D0009j06ZNOPfcc3H22Wejqakpxd9SbtHbmvB6vaioqMD//M//YMqUKXG3WbVqFebPn4+VK1dizZo1qKurw7nnnss1MQhGXBepPC5FGHFNPPfcc7jttttw5513Ytu2bfjTn/6EF198ET/5yU8G8ZvJbXpbF//4xz9wzjnnYNmyZVi/fj3mzJmDr3/969iwYYO6TVdXF6ZMmYLHHnssxd9KbsvmmvD5fDjnnHOwe/duLF26FJ999hn+8Ic/oKampt/HdbvdOPfcczF69GisX78ev/rVr3DXXXfhiSeeiHnu+fPn49prr8WGDRtw8cUX4+KLL8bmzZuH+Nvqh0yacsopp8g33nij+nUwGJRHjhwp33///f1+z6effioDkHfs2DGo5/ra174mX3PNNerXS5YskYuLiwf1GD/+8Y/lE088Mea2yy67TJ47d676dSo/E8Uy4rqIp7S0VP7jH/84qOfKVUZcE7feeqt8+umnD+pxKZbR1oXH45HNZrP82muvxWwzbdo0+Y477hjUc+Uqva2JaGeccYa8YMGCAbcLBAJyYWGh/NRTT6X8XLnGiOtiqI+b64y4Jm688Ub5rLPOirnthz/8oXzaaael/Fy5Rs/rQjjhhBPku+++O+59AOS//OUvQ36OXJLNNfH444/LY8eOlX0+X9KP8dvf/lYuLS2VvV6vetutt94qT5gwQf360ksvlS+44IKY75sxY4b8ne98Z1D7myxmwmmIz+fD+vXrcfbZZ6u3mUwmnH322VizZk3c7+nq6sKSJUswZswY1NXVDer52tvbMWLEiJjbOjs7MXr0aNTV1SWVlbRmzZqY/QWAuXPnqvubys9EsYy4LnoLBoN44YUX0NXVhZkzZw5qf3ORUdfE3/72N5x88sm45JJLUFlZialTp+IPf/jDoPY1lxlxXQQCAQSDwT7lJ/n5+fjnP/85qP3NRXpcE6nweDzw+/19npviM/K6GI71ZkRGXROzZs3C+vXr1VK5nTt3YtmyZfja17425MfOBUZYF6FQCB0dHXx/SJNsr4m//e1vmDlzJm688UZUVVVh4sSJuO+++xJm2K1ZswZf/epXYbPZ1Nvmzp2Lzz77DEePHlW3Gcy561AxCKchhw4dQjAYRFVVVcztVVVVaG1tjbntt7/9LQoKClBQUIA33ngDK1asiFlYA3nppZfw4Ycf4pprrlFvmzBhAv785z/jr3/9K5555hmEQiHMmjUL+/bt6/dxWltb4+6v2+1Gd3f3oH4mis+I60LYtGkTCgoKYLfbccMNN+Avf/kLTjjhhKT3N1cZdU3s3LkTjz/+OI455hi8+eab+O53v4ubbroJTz31VNL7m8uMuC4KCwsxc+ZM3HPPPWhubkYwGMQzzzyDNWvWoKWlJen9zVV6XBOpuPXWWzFy5Mg+B9AUn1HXxXCtNyMy6pq44oor8POf/xynn346rFYrxo0bhzPPPJPlqEkywrr49a9/jc7OTlx66aVJfw/1L9trYufOnVi6dCmCwSCWLVuGn/70p3jooYfwi1/8ot/H6e9YU9yXaJtMxSsYhNOpb37zm9iwYQPeffddHHvssbj00kvVJqMnnniiuuDPP//8Pt+7cuVKXHPNNfjDH/6AE088Ub195syZuPLKK3HSSSfhjDPOQGNjIyoqKvD73/9+2H4uGhq9rYsJEybgk08+wdq1a/Hd734XV111FbZu3Trkx6UIPa2JUCiEadOm4b777sPUqVNx/fXX49vf/jZ+97vfDelxqS89rYunn34asiyjpqYGdrsdjzzyCObPnw+TiYcw6aSnNRHtgQcewAsvvIC//OUvbMKfAXpaFzyOHR56WhOrVq3Cfffdh9/+9rf4+OOP0djYiNdffx333HPPkB6X+tLiunjuuedw991346WXXkJlZWV6flBKWibWRCgUQmVlJZ544glMnz4dl112Ge644w7dnStYsr0DFFFeXg6z2Yz9+/fH3L5//35UV1fH3FZcXIzi4mIcc8wxOPXUU1FaWoq//OUvmD9/PpYtWwa/3w9AKdmJ9u677+LrX/86fvOb3+DKK69MuD9WqxVTp07Fjh07+t2muro67v4WFRUhPz8fZrM56Z+J4jPiuhBsNhvGjx8PQGng+eGHH2Lx4sU8YB6AUdeEy+Xqkwl5/PHH45VXXkn4/KQw6roYN24c3n33XXR1dcHtdsPlcuGyyy7D2LFjE/9CSJdrYjB+/etf44EHHsDf//53TJ48OS2PmQuMvi4y/bhGZNQ18dOf/hTf+ta3cN111wEAJk2ahK6uLlx//fW44447eDFnAHpeFy+88AKuu+46vPzyy8ySTqNsrwmXywWr1Qqz2azedvzxx6O1tRU+ny9upl1/x5rivkTbZCpewVceDbHZbJg+fTrefvtt9bZQKIS33347YZ8sWZYhyzK8Xi8AYPTo0Rg/fjzGjx8fMylk1apVuOCCC/DLX/4S119//YD7EwwGsWnTJrhcrn63mTlzZsz+AsCKFSvU/U31Z6III66L/oRCIXV/qX9GXROnnXYaPvvss5ht/vWvf2H06NED7gMZd10ITqcTLpcLR48exZtvvomLLrpowH3IdXpcE8l68MEHcc8992D58uU4+eSTh/x4ucTI62I4HteIjLomPB5Pn0CbOHmXZXlIj50L9Lounn/+eVxzzTV4/vnnccEFFwz4uJS8bK+J0047DTt27EAoFFJv+9e//gWXy9VvqevMmTPxj3/8Qw36Acqx5oQJE1BaWqpuk8q5a8oyMu6BUvbCCy/IdrtdfvLJJ+WtW7fK119/vVxSUiK3trbKsizLX3zxhXzffffJH330kfzll1/K7733nvz1r39dHjFihLx///5+H/edd96RHQ6HfPvtt8stLS3qx+HDh9Vt7r77bvnNN9+Uv/jiC3n9+vXy5ZdfLufl5clbtmzp93F37twpOxwO+ZZbbpG3bdsmP/bYY7LZbJaXL1+e9M9EAzPiurjtttvkd999V961a5e8ceNG+bbbbpMlSZLfeuutNPzGjM+Ia2LdunWyxWKR7733Xvnzzz+Xn332WdnhcMjPPPNMGn5jucGI62L58uXyG2+8Ie/cuVN+66235ClTpsgzZswY1GSsXKa3NSHLsrxhwwZ5w4YN8vTp0+UrrrhC3rBhQ8z3PPDAA7LNZpOXLl0a89wdHR1D/G3lDiOui1QflxRGXBN33nmnXFhYKD///PPqe8i4cePkSy+9dIi/rdyht3Xx7LPPyhaLRX7sscdiHretrU3dpqOjQ107AOSHH35Y3rBhg/zll1+m4TdmfNlcE3v27JELCwvl733ve/Jnn30mv/baa3JlZaX8i1/8ot/HbWtrk6uqquRvfetb8ubNm+UXXnhBdjgc8u9//3t1m/fee0+2WCzyr3/9a3nbtm3ynXfeKVutVnnTpk1p+I31xSCcBj366KPyqFGjZJvNJp9yyinyBx98oN7X1NQkn3/++XJlZaVstVrl2tpa+YorrpC3b9+e8DGvuuoqGUCfjzPOOEPdZuHCherzVlVVyV/72tfkjz/+eMD9XblypXzSSSfJNptNHjt2rLxkyZJB/UyUHKOti//6r/+SR48eLdtsNrmiokL+t3/7NwbgBsloa0KWZfn//u//5IkTJ8p2u10+7rjj5CeeeCLp3wcpjLYuXnzxRXns2LGyzWaTq6ur5RtvvDHmYJoGprc1Ee9xR48erd4/evTouNvceeedg/3V5DSjrYtUH5cijLYm/H6/fNddd8njxo2T8/Ly5Lq6Ovm///u/5aNHjw72V5PT9LQuzjjjjLiPe9VVV6nbrFy5csBtKLFsrQlZluX3339fnjFjhmy32+WxY8fK9957rxwIBBI+9qeffiqffvrpst1ul2tqauQHHnigzzYvvfSSfOyxx8o2m00+8cQT5ddffz35X8ggSbLMXFwiIiIiIiIiIqJMYk84IiIiIiIiIiKiDGMQjoiIiIiIiIiIKMMYhCMiIiIiIiIiIsowBuGIiIiIiIiIiIgyjEE4IiIiIiIiIiKiDGMQjoiIiIiIiIiIKMMYhCMiIiIiIiIiIsowBuGIiIiIiIiIiIgyjEE4IiIiIsqIVatWQZIktLW1ZXtXiIiIiLKOQTgiIiIinbr66qshSRIkSYLVakVVVRXOOecc/PnPf0YoFEr6cZ588kmUlJSk/NzxPurr6zFr1iy0tLSguLh4kD8ZERERkfEwCEdERESkY+eddx5aWlqwe/duvPHGG5gzZw4WLFiACy+8EIFAIGPPu3jxYrS0tKgfALBkyRL16w8//BA2mw3V1dWQJClj+0FERESkFwzCEREREemY3W5HdXU1ampqMG3aNPzkJz/BX//6V7zxxht48sknAQAPP/wwJk2aBKfTibq6Ovz3f/83Ojs7ASglo9dccw3a29vVLLa77roLAOD1evGjH/0INTU1cDqdmDFjBlatWgUAKC4uRnV1tfoBACUlJerXFRUVfcpRRcbda6+9hgkTJsDhcGDevHnweDx46qmnUF9fj9LSUtx0000IBoPqz5hoP4iIiIj0gkE4IiIiIoM566yzMGXKFDQ2NgIATCYTHnnkEWzZsgVPPfUU3nnnHfz4xz8GAMyaNQuLFi1CUVGRmsX2ox/9CADwve99D2vWrMELL7yAjRs34pJLLsF5552Hzz//POV983g8eOSRR/DCCy9g+fLlWLVqFb7xjW9g2bJlWLZsGZ5++mn8/ve/x9KlS9XvycR+EBEREQ03S7Z3gIiIiIjS77jjjsPGjRsBAAsXLlRvr6+vxy9+8QvccMMN+O1vfwubzYbi4mJIkqRmtAHAnj17sGTJEuzZswcjR44EAPzoRz/C8uXLsWTJEtx3330p7Zff78fjjz+OcePGAQDmzZuHp59+Gvv370dBQQFOOOEEzJkzBytXrsRll12Wsf0gIiIiGm4MwhEREREZkCzLai+2v//977j//vuxfft2uN1uBAIB9PT0wOPxwOFwxP3+TZs2IRgM4thjj4253ev1oqysLOX9cjgcagAOAKqqqlBfX4+CgoKY2w4cOJDR/SAiIiIabgzCERERERnQtm3bMGbMGOzevRsXXnghvvvd7+Lee+/FiBEj8M9//hPXXnstfD5fv0G4zs5OmM1mrF+/HmazOea+6IDZYFmt1pivxWTX3reJ6a6Z2g8iIiKi4cYgHBEREZHBvPPOO9i0aRN+8IMfYP369QiFQnjooYdgMintgF966aWY7W02W8wgBACYOnUqgsEgDhw4gNmzZw/bvvemlf0gIiIiGioOZiAiIiLSMa/Xi9bWVjQ1NeHjjz/Gfffdh4suuggXXnghrrzySowfPx5+vx+PPvoodu7ciaeffhq/+93vYh6jvr4enZ2dePvtt3Ho0CF4PB4ce+yx+OY3v4krr7wSjY2N2LVrF9atW4f7778fr7/++rD9fFrZDyIiIqKhYhCOiIiISMeWL18Ol8uF+vp6nHfeeVi5ciUeeeQR/PWvf4XZbMaUKVPw8MMP45e//CUmTpyIZ599Fvfff3/MY8yaNQs33HADLrvsMlRUVODBBx8EACxZsgRXXnklbr75ZkyYMAEXX3wxPvzwQ4waNWpYf0at7AcRERHRUEiyLMvZ3gkiIiIiIiIiIiIjYyYcERERERERERFRhjEIR0RERERERERElGEMwhEREREREREREWUYg3BEREREREREREQZxiAcERERERERERFRhjEIR0RERERERERElGEMwhEREREREREREWUYg3BEREREREREREQZxiAcERERERERERFRhjEIR0RERERERERElGEMwhEREREREREREWXY/wclsYHGWN9/CwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Assume your dataframe is df\n",
    "df['DateTime'] = pd.to_datetime(df['DateTime'])  # Ensure DateTime is in the correct format\n",
    "\n",
    "plt.figure(figsize=(15,6))\n",
    "\n",
    "# plot all the prices\n",
    "plt.plot(df['DateTime'], df[price_column_name], label=price_column_name)\n",
    "\n",
    "# overlay the points where 'is_in_lowest_quarters' is True\n",
    "plt.scatter(df[df['is_in_lowest_quarters_comfort']]['DateTime'], df[df['is_in_lowest_quarters_comfort']][price_column_name], color='red', label='Lowest quarters')\n",
    "\n",
    "plt.xlabel('DateTime')\n",
    "plt.ylabel(price_column_name)\n",
    "plt.title('Negative imbalance price over time')\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}